- Portkey log retrieval started

- flower container added (dev and prod)

.gitignore

@@ -12,3 +12,33 @@ docker/tenant_files/
 **/.DS_Store
 __pycache__
 **/__pycache__
+/.idea
+*.pyc
+*.pyc
+common/.DS_Store
+common/__pycache__/__init__.cpython-312.pyc
+common/__pycache__/extensions.cpython-312.pyc
+common/models/__pycache__/__init__.cpython-312.pyc
+common/models/__pycache__/document.cpython-312.pyc
+common/models/__pycache__/interaction.cpython-312.pyc
+common/models/__pycache__/user.cpython-312.pyc
+common/utils/.DS_Store
+common/utils/__pycache__/__init__.cpython-312.pyc
+common/utils/__pycache__/celery_utils.cpython-312.pyc
+common/utils/__pycache__/nginx_utils.cpython-312.pyc
+common/utils/__pycache__/security.cpython-312.pyc
+common/utils/__pycache__/simple_encryption.cpython-312.pyc
+common/utils/__pycache__/template_filters.cpython-312.pyc
+config/.DS_Store
+config/__pycache__/__init__.cpython-312.pyc
+config/__pycache__/config.cpython-312.pyc
+config/__pycache__/logging_config.cpython-312.pyc
+eveai_app/.DS_Store
+eveai_app/__pycache__/__init__.cpython-312.pyc
+eveai_app/__pycache__/errors.cpython-312.pyc
+eveai_chat/.DS_Store
+migrations/.DS_Store
+migrations/public/.DS_Store
+scripts/.DS_Store
+scripts/__pycache__/run_eveai_app.cpython-312.pyc
+/eveai_repo.txt

.repopackignore

@@ -0,0 +1,21 @@
+# Add patterns to ignore here, one per line
+# Example:
+# *.log
+# tmp/
+logs/
+nginx/static/assets/fonts/
+nginx/static/assets/img/
+nginx/static/assets/js/
+nginx/static/scss/
+patched_packages/
+migrations/
+*material*
+*nucleo*
+*package*
+nginx/mime.types
+*.gitignore*
+.python-version
+.repopackignore
+repopack.config.json
+
+

CHANGELOG.md

@@ -0,0 +1,110 @@
+# Changelog
+
+All notable changes to EveAI will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Added
+- For new features.
+
+### Changed
+- For changes in existing functionality.
+
+### Deprecated
+- For soon-to-be removed features.
+
+### Removed
+- For now removed features.
+
+### Fixed
+- Set default language when registering Documents or URLs.
+
+### Security
+- In case of vulnerabilities.
+
+## [1.0.8-alfa] - 2024-09-12
+
+### Added
+- Tenant type defined to allow for active, inactive, demo ... tenants
+- Search and filtering functionality on Tenants
+- Implementation of health checks (1st version)
+- Provision for Prometheus monitoring (no implementation yet)
+- Refine audio_processor and srt_processor to reduce duplicate code and support larger files
+- Introduction of repopack to reason in LLMs about the code
+
+### Fixed
+- Refine audio_processor and srt_processor to reduce duplicate code and support larger files
+
+## [1.0.7-alfa] - 2024-09-12
+
+### Added
+- Full Document API allowing for creation, updating and invalidation of documents.
+- Metadata fields (JSON) added to DocumentVersion, allowing end-users to add structured information
+- Wordpress plugin eveai_sync to synchronize Wordpress content with EveAI
+
+### Fixed
+- Maximal deduplication of code between views and api in document_utils.py
+
+## [1.0.6-alfa] - 2024-09-03
+
+### Fixed
+- Problems with tenant scheme migrations - may have to be revisited
+- Correction of default language settings when uploading docs or URLs
+- Addition of a CHANGELOG.md file
+
+## [1.0.5-alfa] - 2024-09-02
+
+### Added
+- Allow chatwidget to connect to multiple servers (e.g. development and production)
+- Start implementation of API
+- Add API-key functionality to tenants
+- Deduplication of API and Document view code
+- Allow URL addition to accept all types of files, not just HTML
+- Allow new file types upload: srt, mp3, ogg, mp4
+- Improve processing of different file types using Processor classes
+
+### Removed
+- Removed direct upload of Youtube URLs, due to continuous changes in Youtube website
+
+## [1.0.4-alfa] - 2024-08-27
+Skipped
+
+## [1.0.3-alfa] - 2024-08-27
+
+### Added
+- Refinement of HTML processing - allow for excluded classes and elements.
+- Allow for multiple instances of Evie on 1 website (pure + Wordpress plugin)
+
+### Changed
+- PDF Processing extracted in new PDF Processor class.
+- Allow for longer and more complex PDFs to be uploaded.
+
+## [1.0.2-alfa] - 2024-08-22
+
+### Fixed
+- Bugfix for ResetPasswordForm in config.py
+
+## [1.0.1-alfa] - 2024-08-21
+
+### Added
+- Full Document Version Overview
+
+### Changed
+- Improvements to user creation and registration, renewal of passwords, ...
+
+## [1.0.0-alfa] - 2024-08-16
+
+### Added
+- Initial release of the project.
+
+### Changed
+- None
+
+### Fixed
+- None
+
+[Unreleased]: https://github.com/username/repo/compare/v1.0.0...HEAD
+[1.0.0]: https://github.com/username/repo/releases/tag/v1.0.0

common/extensions.py

@@ -9,8 +9,9 @@ from flask_socketio import SocketIO
 from flask_jwt_extended import JWTManager
 from flask_session import Session
 from flask_wtf import CSRFProtect
+from flask_restx import Api
+from prometheus_flask_exporter import PrometheusMetrics
 
-from .utils.nginx_utils import prefixed_url_for
 from .utils.simple_encryption import SimpleEncryption
 from .utils.minio_utils import MinioClient
 
@@ -27,8 +28,7 @@ cors = CORS()
 socketio = SocketIO()
 jwt = JWTManager()
 session = Session()
-
-# kms_client = JosKMSClient.from_service_account_json('config/gc_sa_eveai.json')
-
+api_rest = Api()
 simple_encryption = SimpleEncryption()
 minio_client = MinioClient()
+metrics = PrometheusMetrics.for_app_factory()

common/langchain/eveai_history_retriever.py

@@ -1,23 +1,31 @@
 from langchain_core.retrievers import BaseRetriever
 from sqlalchemy import asc
 from sqlalchemy.exc import SQLAlchemyError
-from pydantic import BaseModel, Field
+from pydantic import Field, BaseModel, PrivateAttr
 from typing import Any, Dict
 from flask import current_app
 
 from common.extensions import db
 from common.models.interaction import ChatSession, Interaction
-from common.utils.datetime_utils import get_date_in_timezone
+from common.utils.model_utils import ModelVariables
 
 
-class EveAIHistoryRetriever(BaseRetriever):
-    model_variables: Dict[str, Any] = Field(...)
-    session_id: str = Field(...)
+class EveAIHistoryRetriever(BaseRetriever, BaseModel):
+    _model_variables: ModelVariables = PrivateAttr()
+    _session_id: str = PrivateAttr()
 
-    def __init__(self, model_variables: Dict[str, Any], session_id: str):
+    def __init__(self, model_variables: ModelVariables, session_id: str):
         super().__init__()
-        self.model_variables = model_variables
-        self.session_id = session_id
+        self._model_variables = model_variables
+        self._session_id = session_id
+
+    @property
+    def model_variables(self) -> ModelVariables:
+        return self._model_variables
+
+    @property
+    def session_id(self) -> str:
+        return self._session_id
 
     def _get_relevant_documents(self, query: str):
         current_app.logger.debug(f'Retrieving history of interactions for query: {query}')

common/langchain/eveai_retriever.py

@@ -1,30 +1,39 @@
 from langchain_core.retrievers import BaseRetriever
 from sqlalchemy import func, and_, or_, desc
 from sqlalchemy.exc import SQLAlchemyError
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, PrivateAttr
 from typing import Any, Dict
 from flask import current_app
 
 from common.extensions import db
 from common.models.document import Document, DocumentVersion
 from common.utils.datetime_utils import get_date_in_timezone
+from common.utils.model_utils import ModelVariables
 
 
-class EveAIRetriever(BaseRetriever):
-    model_variables: Dict[str, Any] = Field(...)
-    tenant_info: Dict[str, Any] = Field(...)
+class EveAIRetriever(BaseRetriever, BaseModel):
+    _model_variables: ModelVariables = PrivateAttr()
+    _tenant_info: Dict[str, Any] = PrivateAttr()
 
-    def __init__(self, model_variables: Dict[str, Any], tenant_info: Dict[str, Any]):
+    def __init__(self, model_variables: ModelVariables, tenant_info: Dict[str, Any]):
         super().__init__()
-        self.model_variables = model_variables
-        self.tenant_info = tenant_info
+        current_app.logger.debug(f'Model variables type: {type(model_variables)}')
+        self._model_variables = model_variables
+        self._tenant_info = tenant_info
+
+    @property
+    def model_variables(self) -> ModelVariables:
+        return self._model_variables
+
+    @property
+    def tenant_info(self) -> Dict[str, Any]:
+        return self._tenant_info
 
     def _get_relevant_documents(self, query: str):
-
-
-
         current_app.logger.debug(f'Retrieving relevant documents for query: {query}')
         query_embedding = self._get_query_embedding(query)
+        current_app.logger.debug(f'Model Variables Private: {type(self._model_variables)}')
+        current_app.logger.debug(f'Model Variables Property: {type(self.model_variables)}')
         db_class = self.model_variables['embedding_db_model']
         similarity_threshold = self.model_variables['similarity_threshold']
         k = self.model_variables['k']

common/models/README.txt

@@ -0,0 +1,2 @@
+If models are added to the public schema (i.e. in the user domain), ensure to add their corresponding tables to the
+env.py, get_public_table_names, for tenant migrations!

common/models/document.py

@@ -1,6 +1,7 @@
 from common.extensions import db
 from .user import User, Tenant
 from pgvector.sqlalchemy import Vector
+from sqlalchemy.dialects.postgresql import JSONB
 
 
 class Document(db.Model):
@@ -12,7 +13,7 @@ class Document(db.Model):
 
     # Versioning Information
     created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now())
-    created_by = db.Column(db.Integer, db.ForeignKey(User.id), nullable=False)
+    created_by = db.Column(db.Integer, db.ForeignKey(User.id), nullable=True)
     updated_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now(), onupdate=db.func.now())
     updated_by = db.Column(db.Integer, db.ForeignKey(User.id))
 
@@ -33,6 +34,8 @@ class DocumentVersion(db.Model):
     language = db.Column(db.String(2), nullable=False)
     user_context = db.Column(db.Text, nullable=True)
     system_context = db.Column(db.Text, nullable=True)
+    user_metadata = db.Column(JSONB, nullable=True)
+    system_metadata = db.Column(JSONB, nullable=True)
 
     # Versioning Information
     created_at = db.Column(db.DateTime, nullable=False, server_default=db.func.now())

common/models/monitoring.py

@@ -0,0 +1,21 @@
+from common.extensions import db
+
+
+class BusinessEventLog(db.Model):
+    __bind_key__ = 'public'
+    __table_args__ = {'schema': 'public'}
+
+    id = db.Column(db.Integer, primary_key=True)
+    timestamp = db.Column(db.DateTime, nullable=False)
+    event_type = db.Column(db.String(50), nullable=False)
+    tenant_id = db.Column(db.Integer, nullable=False)
+    trace_id = db.Column(db.String(50), nullable=False)
+    span_id = db.Column(db.String(50))
+    span_name = db.Column(db.String(50))
+    parent_span_id = db.Column(db.String(50))
+    document_version_id = db.Column(db.Integer)
+    chat_session_id = db.Column(db.String(50))
+    interaction_id = db.Column(db.Integer)
+    environment = db.Column(db.String(20))
+    message = db.Column(db.Text)
+    # Add any other fields relevant for invoicing or warnings

common/models/user.py

@@ -2,7 +2,6 @@ from common.extensions import db
 from flask_security import UserMixin, RoleMixin
 from sqlalchemy.dialects.postgresql import ARRAY
 import sqlalchemy as sa
-from sqlalchemy import CheckConstraint
 
 
 class Tenant(db.Model):
@@ -21,6 +20,7 @@ class Tenant(db.Model):
     website = db.Column(db.String(255), nullable=True)
     timezone = db.Column(db.String(50), nullable=True, default='UTC')
     rag_context = db.Column(db.Text, nullable=True)
+    type = db.Column(db.String(20), nullable=True, server_default='Active')
 
     # language information
     default_language = db.Column(db.String(2), nullable=True)
@@ -35,10 +35,11 @@ class Tenant(db.Model):
     html_end_tags = db.Column(ARRAY(sa.String(10)), nullable=True, default=['p', 'li'])
     html_included_elements = db.Column(ARRAY(sa.String(50)), nullable=True)
     html_excluded_elements = db.Column(ARRAY(sa.String(50)), nullable=True)
+    html_excluded_classes = db.Column(ARRAY(sa.String(200)), nullable=True)
+
     min_chunk_size = db.Column(db.Integer, nullable=True, default=2000)
     max_chunk_size = db.Column(db.Integer, nullable=True, default=3000)
 
-
     # Embedding search variables
     es_k = db.Column(db.Integer, nullable=True, default=5)
     es_similarity_threshold = db.Column(db.Float, nullable=True, default=0.7)
@@ -53,6 +54,7 @@ class Tenant(db.Model):
     license_end_date = db.Column(db.Date, nullable=True)
     allowed_monthly_interactions = db.Column(db.Integer, nullable=True)
     encrypted_chat_api_key = db.Column(db.String(500), nullable=True)
+    encrypted_api_key = db.Column(db.String(500), nullable=True)
 
     # Tuning enablers
     embed_tuning = db.Column(db.Boolean, nullable=True, default=False)
@@ -72,6 +74,7 @@ class Tenant(db.Model):
             'website': self.website,
             'timezone': self.timezone,
             'rag_context': self.rag_context,
+            'type': self.type,
             'default_language': self.default_language,
             'allowed_languages': self.allowed_languages,
             'embedding_model': self.embedding_model,
@@ -80,6 +83,7 @@ class Tenant(db.Model):
             'html_end_tags': self.html_end_tags,
             'html_included_elements': self.html_included_elements,
             'html_excluded_elements': self.html_excluded_elements,
+            'html_excluded_classes': self.html_excluded_classes,
             'min_chunk_size': self.min_chunk_size,
             'max_chunk_size': self.max_chunk_size,
             'es_k': self.es_k,

common/utils/business_event.py

@@ -0,0 +1,114 @@
+import os
+import uuid
+from contextlib import contextmanager
+from datetime import datetime
+from typing import Dict, Any, Optional
+from datetime import datetime as dt, timezone as tz
+from portkey_ai import Portkey, Config
+import logging
+
+from .business_event_context import BusinessEventContext
+from common.models.monitoring import BusinessEventLog
+from common.extensions import db
+
+
+class BusinessEvent:
+    # The BusinessEvent class itself is a context manager, but it doesn't use the @contextmanager decorator.
+    # Instead, it defines __enter__ and __exit__ methods explicitly. This is because we're doing something a bit more
+    # complex - we're interacting with the BusinessEventContext and the _business_event_stack.
+
+    def __init__(self, event_type: str, tenant_id: int, **kwargs):
+        self.event_type = event_type
+        self.tenant_id = tenant_id
+        self.trace_id = str(uuid.uuid4())
+        self.span_id = None
+        self.span_name = None
+        self.parent_span_id = None
+        self.document_version_id = kwargs.get('document_version_id')
+        self.chat_session_id = kwargs.get('chat_session_id')
+        self.interaction_id = kwargs.get('interaction_id')
+        self.environment = os.environ.get("FLASK_ENV", "development")
+        self.span_counter = 0
+        self.spans = []
+
+    def update_attribute(self, attribute: str, value: any):
+        if hasattr(self, attribute):
+            setattr(self, attribute, value)
+        else:
+            raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{attribute}'")
+
+    @contextmanager
+    def create_span(self, span_name: str):
+        # The create_span method is designed to be used as a context manager. We want to perform some actions when
+        # entering the span (like setting the span ID and name) and some actions when exiting the span (like removing
+        # these temporary attributes). The @contextmanager decorator allows us to write this method in a way that
+        # clearly separates the "entry" and "exit" logic, with the yield statement in between.
+
+        parent_span_id = self.span_id
+        self.span_counter += 1
+        new_span_id = str(uuid.uuid4())
+
+        # Save the current span info
+        self.spans.append((self.span_id, self.span_name, self.parent_span_id))
+
+        # Set the new span info
+        self.span_id = new_span_id
+        self.span_name = span_name
+        self.parent_span_id = parent_span_id
+
+        self.log(f"Starting span {span_name}")
+
+        try:
+            yield
+        finally:
+            self.log(f"Ending span {span_name}")
+            # Restore the previous span info
+            if self.spans:
+                self.span_id, self.span_name, self.parent_span_id = self.spans.pop()
+            else:
+                self.span_id = None
+                self.span_name = None
+                self.parent_span_id = None
+
+    def log(self, message: str, level: str = 'info'):
+        logger = logging.getLogger('business_events')
+        log_data = {
+            'event_type': self.event_type,
+            'tenant_id': self.tenant_id,
+            'trace_id': self.trace_id,
+            'span_id': self.span_id,
+            'span_name': self.span_name,
+            'parent_span_id': self.parent_span_id,
+            'document_version_id': self.document_version_id,
+            'chat_session_id': self.chat_session_id,
+            'interaction_id': self.interaction_id,
+            'environment': self.environment
+        }
+        # log to Graylog
+        getattr(logger, level)(message, extra=log_data)
+
+        # Log to database
+        event_log = BusinessEventLog(
+            timestamp=dt.now(tz=tz.utc),
+            event_type=self.event_type,
+            tenant_id=self.tenant_id,
+            trace_id=self.trace_id,
+            span_id=self.span_id,
+            span_name=self.span_name,
+            parent_span_id=self.parent_span_id,
+            document_version_id=self.document_version_id,
+            chat_session_id=self.chat_session_id,
+            interaction_id=self.interaction_id,
+            environment=self.environment,
+            message=message
+        )
+        db.session.add(event_log)
+        db.session.commit()
+
+    def __enter__(self):
+        self.log(f'Starting Trace for {self.event_type}')
+        return BusinessEventContext(self).__enter__()
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.log(f'Ending Trace for {self.event_type}')
+        return BusinessEventContext(self).__exit__(exc_type, exc_val, exc_tb)

common/utils/business_event_context.py

@@ -0,0 +1,25 @@
+from werkzeug.local import LocalProxy, LocalStack
+
+_business_event_stack = LocalStack()
+
+
+def _get_current_event():
+    top = _business_event_stack.top
+    if top is None:
+        raise RuntimeError("No business event context found. Are you sure you're in a business event?")
+    return top
+
+
+current_event = LocalProxy(_get_current_event)
+
+
+class BusinessEventContext:
+    def __init__(self, event):
+        self.event = event
+
+    def __enter__(self):
+        _business_event_stack.push(self.event)
+        return self.event
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        _business_event_stack.pop()

common/utils/cors_utils.py

@@ -23,6 +23,14 @@ def cors_after_request(response, prefix):
     current_app.logger.debug(f'request.args: {request.args}')
     current_app.logger.debug(f'request is json?: {request.is_json}')
 
+    # Exclude health checks from checks
+    if request.path.startswith('/healthz') or request.path.startswith('/_healthz'):
+        current_app.logger.debug('Skipping CORS headers for health checks')
+        response.headers.add('Access-Control-Allow-Origin', '*')
+        response.headers.add('Access-Control-Allow-Headers', '*')
+        response.headers.add('Access-Control-Allow-Methods', '*')
+        return response
+
     tenant_id = None
     allowed_origins = []
 

common/utils/document_utils.py

@@ -0,0 +1,338 @@
+from datetime import datetime as dt, timezone as tz
+
+from sqlalchemy import desc
+from sqlalchemy.exc import SQLAlchemyError
+from werkzeug.utils import secure_filename
+from common.models.document import Document, DocumentVersion
+from common.extensions import db, minio_client
+from common.utils.celery_utils import current_celery
+from flask import current_app
+from flask_security import current_user
+import requests
+from urllib.parse import urlparse, unquote
+import os
+from .eveai_exceptions import EveAIInvalidLanguageException, EveAIDoubleURLException, EveAIUnsupportedFileType
+
+
+def create_document_stack(api_input, file, filename, extension, tenant_id):
+    # Create the Document
+    new_doc = create_document(api_input, filename, tenant_id)
+    db.session.add(new_doc)
+
+    # Create the DocumentVersion
+    new_doc_vers = create_version_for_document(new_doc,
+                                               api_input.get('url', ''),
+                                               api_input.get('language', 'en'),
+                                               api_input.get('user_context', ''),
+                                               api_input.get('user_metadata'),
+                                               )
+    db.session.add(new_doc_vers)
+
+    try:
+        db.session.commit()
+    except SQLAlchemyError as e:
+        current_app.logger.error(f'Error adding document for tenant {tenant_id}: {e}')
+        db.session.rollback()
+        raise
+
+    current_app.logger.info(f'Document added successfully for tenant {tenant_id}, '
+                            f'Document Version {new_doc.id}')
+
+    # Upload file to storage
+    upload_file_for_version(new_doc_vers, file, extension, tenant_id)
+
+    return new_doc, new_doc_vers
+
+
+def create_document(form, filename, tenant_id):
+    new_doc = Document()
+    if form['name'] == '':
+        new_doc.name = filename.rsplit('.', 1)[0]
+    else:
+        new_doc.name = form['name']
+
+    if form['valid_from'] and form['valid_from'] != '':
+        new_doc.valid_from = form['valid_from']
+    else:
+        new_doc.valid_from = dt.now(tz.utc)
+    new_doc.tenant_id = tenant_id
+    set_logging_information(new_doc, dt.now(tz.utc))
+
+    return new_doc
+
+
+def create_version_for_document(document, url, language, user_context, user_metadata):
+    new_doc_vers = DocumentVersion()
+    if url != '':
+        new_doc_vers.url = url
+
+    if language == '':
+        raise EveAIInvalidLanguageException('Language is required for document creation!')
+    else:
+        new_doc_vers.language = language
+
+    if user_context != '':
+        new_doc_vers.user_context = user_context
+
+    if user_metadata != '' and user_metadata is not None:
+        new_doc_vers.user_metadata = user_metadata
+
+    new_doc_vers.document = document
+
+    set_logging_information(new_doc_vers, dt.now(tz.utc))
+
+    return new_doc_vers
+
+
+def upload_file_for_version(doc_vers, file, extension, tenant_id):
+    doc_vers.file_type = extension
+    doc_vers.file_name = doc_vers.calc_file_name()
+    doc_vers.file_location = doc_vers.calc_file_location()
+
+    # Normally, the tenant bucket should exist. But let's be on the safe side if a migration took place.
+    minio_client.create_tenant_bucket(tenant_id)
+
+    try:
+        minio_client.upload_document_file(
+            tenant_id,
+            doc_vers.doc_id,
+            doc_vers.language,
+            doc_vers.id,
+            doc_vers.file_name,
+            file
+        )
+        db.session.commit()
+        current_app.logger.info(f'Successfully saved document to MinIO for tenant {tenant_id} for '
+                                f'document version {doc_vers.id} while uploading file.')
+    except Exception as e:
+        db.session.rollback()
+        current_app.logger.error(
+            f'Error saving document to MinIO for tenant {tenant_id}: {e}')
+        raise
+
+
+def set_logging_information(obj, timestamp):
+    obj.created_at = timestamp
+    obj.updated_at = timestamp
+
+    user_id = get_current_user_id()
+    if user_id:
+        obj.created_by = user_id
+        obj.updated_by = user_id
+
+
+def update_logging_information(obj, timestamp):
+    obj.updated_at = timestamp
+
+    user_id = get_current_user_id()
+    if user_id:
+        obj.updated_by = user_id
+
+
+def get_current_user_id():
+    try:
+        if current_user and current_user.is_authenticated:
+            return current_user.id
+        else:
+            return None
+    except Exception:
+        # This will catch any errors if current_user is not available (e.g., in API context)
+        return None
+
+
+def get_extension_from_content_type(content_type):
+    content_type_map = {
+        'text/html': 'html',
+        'application/pdf': 'pdf',
+        'text/plain': 'txt',
+        'application/msword': 'doc',
+        'application/vnd.openxmlformats-officedocument.wordprocessingml.document': 'docx',
+        # Add more mappings as needed
+    }
+    return content_type_map.get(content_type, 'html')  # Default to 'html' if unknown
+
+
+def process_url(url, tenant_id):
+    response = requests.head(url, allow_redirects=True)
+    content_type = response.headers.get('Content-Type', '').split(';')[0]
+
+    # Determine file extension based on Content-Type
+    extension = get_extension_from_content_type(content_type)
+
+    # Generate filename
+    parsed_url = urlparse(url)
+    path = unquote(parsed_url.path)
+    filename = os.path.basename(path)
+
+    if not filename or '.' not in filename:
+        # Use the last part of the path or a default name
+        filename = path.strip('/').split('/')[-1] or 'document'
+        filename = secure_filename(f"{filename}.{extension}")
+    else:
+        filename = secure_filename(filename)
+
+    # Check if a document with this URL already exists
+    existing_doc = DocumentVersion.query.filter_by(url=url).first()
+    if existing_doc:
+        raise EveAIDoubleURLException
+
+    # Download the content
+    response = requests.get(url)
+    response.raise_for_status()
+    file_content = response.content
+
+    return file_content, filename, extension
+
+
+def process_multiple_urls(urls, tenant_id, api_input):
+    results = []
+    for url in urls:
+        try:
+            file_content, filename, extension = process_url(url, tenant_id)
+
+            url_input = api_input.copy()
+            url_input.update({
+                'url': url,
+                'name': f"{api_input['name']}-{filename}" if api_input['name'] else filename
+            })
+
+            new_doc, new_doc_vers = create_document_stack(url_input, file_content, filename, extension, tenant_id)
+            task_id = start_embedding_task(tenant_id, new_doc_vers.id)
+
+            results.append({
+                'url': url,
+                'document_id': new_doc.id,
+                'document_version_id': new_doc_vers.id,
+                'task_id': task_id,
+                'status': 'success'
+            })
+        except Exception as e:
+            current_app.logger.error(f"Error processing URL {url}: {str(e)}")
+            results.append({
+                'url': url,
+                'status': 'error',
+                'message': str(e)
+            })
+    return results
+
+
+def start_embedding_task(tenant_id, doc_vers_id):
+    task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
+        tenant_id,
+        doc_vers_id,
+    ])
+    current_app.logger.info(f'Embedding creation started for tenant {tenant_id}, '
+                            f'Document Version {doc_vers_id}. '
+                            f'Embedding creation task: {task.id}')
+    return task.id
+
+
+def validate_file_type(extension):
+    current_app.logger.debug(f'Validating file type {extension}')
+    current_app.logger.debug(f'Supported file types: {current_app.config["SUPPORTED_FILE_TYPES"]}')
+    if extension not in current_app.config['SUPPORTED_FILE_TYPES']:
+        raise EveAIUnsupportedFileType(f"Filetype {extension} is currently not supported. "
+                                       f"Supported filetypes: {', '.join(current_app.config['SUPPORTED_FILE_TYPES'])}")
+
+
+def get_filename_from_url(url):
+    parsed_url = urlparse(url)
+    path_parts = parsed_url.path.split('/')
+    filename = path_parts[-1]
+    if filename == '':
+        filename = 'index'
+    if not filename.endswith('.html'):
+        filename += '.html'
+    return filename
+
+
+def get_documents_list(page, per_page):
+    query = Document.query.order_by(desc(Document.created_at))
+    pagination = query.paginate(page=page, per_page=per_page, error_out=False)
+    return pagination
+
+
+def edit_document(document_id, name, valid_from, valid_to):
+    doc = Document.query.get_or_404(document_id)
+    doc.name = name
+    doc.valid_from = valid_from
+    doc.valid_to = valid_to
+    update_logging_information(doc, dt.now(tz.utc))
+
+    try:
+        db.session.add(doc)
+        db.session.commit()
+        return doc, None
+    except SQLAlchemyError as e:
+        db.session.rollback()
+        return None, str(e)
+
+
+def edit_document_version(version_id, user_context):
+    doc_vers = DocumentVersion.query.get_or_404(version_id)
+    doc_vers.user_context = user_context
+    update_logging_information(doc_vers, dt.now(tz.utc))
+
+    try:
+        db.session.add(doc_vers)
+        db.session.commit()
+        return doc_vers, None
+    except SQLAlchemyError as e:
+        db.session.rollback()
+        return None, str(e)
+
+
+def refresh_document_with_info(doc_id, api_input):
+    doc = Document.query.get_or_404(doc_id)
+    old_doc_vers = DocumentVersion.query.filter_by(doc_id=doc_id).order_by(desc(DocumentVersion.id)).first()
+
+    if not old_doc_vers.url:
+        return None, "This document has no URL. Only documents with a URL can be refreshed."
+
+    new_doc_vers = create_version_for_document(
+        doc,
+        old_doc_vers.url,
+        api_input.get('language', old_doc_vers.language),
+        api_input.get('user_context', old_doc_vers.user_context),
+        api_input.get('user_metadata', old_doc_vers.user_metadata)
+    )
+
+    set_logging_information(new_doc_vers, dt.now(tz.utc))
+
+    try:
+        db.session.add(new_doc_vers)
+        db.session.commit()
+    except SQLAlchemyError as e:
+        db.session.rollback()
+        return None, str(e)
+
+    response = requests.head(old_doc_vers.url, allow_redirects=True)
+    content_type = response.headers.get('Content-Type', '').split(';')[0]
+    extension = get_extension_from_content_type(content_type)
+
+    response = requests.get(old_doc_vers.url)
+    response.raise_for_status()
+    file_content = response.content
+
+    upload_file_for_version(new_doc_vers, file_content, extension, doc.tenant_id)
+
+    task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
+        doc.tenant_id,
+        new_doc_vers.id,
+    ])
+
+    return new_doc_vers, task.id
+
+
+# Update the existing refresh_document function to use the new refresh_document_with_info
+def refresh_document(doc_id):
+    doc = Document.query.get_or_404(doc_id)
+    old_doc_vers = DocumentVersion.query.filter_by(doc_id=doc_id).order_by(desc(DocumentVersion.id)).first()
+
+    api_input = {
+        'language': old_doc_vers.language,
+        'user_context': old_doc_vers.user_context,
+        'user_metadata': old_doc_vers.user_metadata
+    }
+
+    return refresh_document_with_info(doc_id, api_input)

common/utils/eveai_exceptions.py

@@ -0,0 +1,36 @@
+class EveAIException(Exception):
+    """Base exception class for EveAI API"""
+
+    def __init__(self, message, status_code=400, payload=None):
+        super().__init__()
+        self.message = message
+        self.status_code = status_code
+        self.payload = payload
+
+    def to_dict(self):
+        rv = dict(self.payload or ())
+        rv['message'] = self.message
+        return rv
+
+
+class EveAIInvalidLanguageException(EveAIException):
+    """Raised when an invalid language is provided"""
+
+    def __init__(self, message="Langage is required", status_code=400, payload=None):
+        super().__init__(message, status_code, payload)
+
+
+class EveAIDoubleURLException(EveAIException):
+    """Raised when an existing url is provided"""
+
+    def __init__(self, message="URL already exists", status_code=400, payload=None):
+        super().__init__(message, status_code, payload)
+
+
+class EveAIUnsupportedFileType(EveAIException):
+    """Raised when an invalid file type is provided"""
+
+    def __init__(self, message="Filetype is not supported", status_code=400, payload=None):
+        super().__init__(message, status_code, payload)
+
+

common/utils/model_utils.py

@@ -5,14 +5,16 @@ from flask import current_app
 from langchain_openai import OpenAIEmbeddings, ChatOpenAI
 from langchain_anthropic import ChatAnthropic
 from langchain_core.pydantic_v1 import BaseModel, Field
-from langchain.prompts import ChatPromptTemplate
-import ast
-from typing import List
+from typing import List, Any, Iterator
+from collections.abc import MutableMapping
 from openai import OpenAI
-# from groq import Groq
 from portkey_ai import createHeaders, PORTKEY_GATEWAY_URL
+from portkey_ai.langchain.portkey_langchain_callback_handler import LangchainCallbackHandler
 
 from common.models.document import EmbeddingSmallOpenAI, EmbeddingLargeOpenAI
+from common.models.user import Tenant
+from config.model_config import MODEL_CONFIG
+from common.utils.business_event_context import current_event
 
 
 class CitedAnswer(BaseModel):
@@ -36,166 +38,264 @@ def set_language_prompt_template(cls, language_prompt):
     cls.__doc__ = language_prompt
 
 
+class ModelVariables(MutableMapping):
+    def __init__(self, tenant: Tenant):
+        self.tenant = tenant
+        self._variables = self._initialize_variables()
+        self._embedding_model = None
+        self._llm = None
+        self._llm_no_rag = None
+        self._transcription_client = None
+        self._prompt_templates = {}
+        self._embedding_db_model = None
+
+    def _initialize_variables(self):
+        variables = {}
+
+        # We initialize the variables that are available knowing the tenant. For the other, we will apply 'lazy loading'
+        variables['k'] = self.tenant.es_k or 5
+        variables['similarity_threshold'] = self.tenant.es_similarity_threshold or 0.7
+        variables['RAG_temperature'] = self.tenant.chat_RAG_temperature or 0.3
+        variables['no_RAG_temperature'] = self.tenant.chat_no_RAG_temperature or 0.5
+        variables['embed_tuning'] = self.tenant.embed_tuning or False
+        variables['rag_tuning'] = self.tenant.rag_tuning or False
+        variables['rag_context'] = self.tenant.rag_context or " "
+
+        # Set HTML Chunking Variables
+        variables['html_tags'] = self.tenant.html_tags
+        variables['html_end_tags'] = self.tenant.html_end_tags
+        variables['html_included_elements'] = self.tenant.html_included_elements
+        variables['html_excluded_elements'] = self.tenant.html_excluded_elements
+        variables['html_excluded_classes'] = self.tenant.html_excluded_classes
+
+        # Set Chunk Size variables
+        variables['min_chunk_size'] = self.tenant.min_chunk_size
+        variables['max_chunk_size'] = self.tenant.max_chunk_size
+
+        # Set model providers
+        variables['embedding_provider'], variables['embedding_model'] = self.tenant.embedding_model.rsplit('.', 1)
+        variables['llm_provider'], variables['llm_model'] = self.tenant.llm_model.rsplit('.', 1)
+        variables["templates"] = current_app.config['PROMPT_TEMPLATES'][(f"{variables['llm_provider']}."
+                                                                         f"{variables['llm_model']}")]
+        current_app.logger.info(f"Loaded prompt templates: \n")
+        current_app.logger.info(f"{variables['templates']}")
+
+        # Set model-specific configurations
+        model_config = MODEL_CONFIG.get(variables['llm_provider'], {}).get(variables['llm_model'], {})
+        variables.update(model_config)
+
+        variables['annotation_chunk_length'] = current_app.config['ANNOTATION_TEXT_CHUNK_LENGTH'][self.tenant.llm_model]
+
+        if variables['tool_calling_supported']:
+            variables['cited_answer_cls'] = CitedAnswer
+
+        return variables
+
+    @property
+    def embedding_model(self):
+        portkey_metadata = self.get_portkey_metadata()
+
+        portkey_headers = createHeaders(api_key=os.getenv('PORTKEY_API_KEY'),
+                                        provider=self._variables['embedding_provider'],
+                                        metadata=portkey_metadata,
+                                        trace_id=current_event.trace_id,
+                                        span_id=current_event.span_id,
+                                        span_name=current_event.span_name,
+                                        parent_span_id=current_event.parent_span_id
+                                        )
+        api_key = os.getenv('OPENAI_API_KEY')
+        model = self._variables['embedding_model']
+        self._embedding_model = OpenAIEmbeddings(api_key=api_key,
+                                                 model=model,
+                                                 base_url=PORTKEY_GATEWAY_URL,
+                                                 default_headers=portkey_headers)
+        self._embedding_db_model = EmbeddingSmallOpenAI \
+            if model == 'text-embedding-3-small' \
+            else EmbeddingLargeOpenAI
+
+        return self._embedding_model
+
+    @property
+    def llm(self):
+        portkey_headers = self.get_portkey_headers_for_llm()
+        api_key = self.get_api_key_for_llm()
+        self._llm = ChatOpenAI(api_key=api_key,
+                               model=self._variables['llm_model'],
+                               temperature=self._variables['RAG_temperature'],
+                               base_url=PORTKEY_GATEWAY_URL,
+                               default_headers=portkey_headers)
+        return self._llm
+
+    @property
+    def llm_no_rag(self):
+        portkey_headers = self.get_portkey_headers_for_llm()
+        api_key = self.get_api_key_for_llm()
+        self._llm_no_rag = ChatOpenAI(api_key=api_key,
+                                      model=self._variables['llm_model'],
+                                      temperature=self._variables['RAG_temperature'],
+                                      base_url=PORTKEY_GATEWAY_URL,
+                                      default_headers=portkey_headers)
+        return self._llm_no_rag
+
+    def get_portkey_headers_for_llm(self):
+        portkey_metadata = self.get_portkey_metadata()
+        portkey_headers = createHeaders(api_key=os.getenv('PORTKEY_API_KEY'),
+                                        metadata=portkey_metadata,
+                                        provider=self._variables['llm_provider'],
+                                        trace_id=current_event.trace_id,
+                                        span_id=current_event.span_id,
+                                        span_name=current_event.span_name,
+                                        parent_span_id=current_event.parent_span_id
+                                        )
+        return portkey_headers
+
+    def get_portkey_metadata(self):
+        environment = os.getenv('FLASK_ENV', 'development')
+        portkey_metadata = {'tenant_id': str(self.tenant.id),
+                            'environment': environment,
+                            'trace_id': current_event.trace_id,
+                            'span_id': current_event.span_id,
+                            'span_name': current_event.span_name,
+                            'parent_span_id': current_event.parent_span_id,
+                            }
+        return portkey_metadata
+
+    def get_api_key_for_llm(self):
+        if self._variables['llm_provider'] == 'openai':
+            api_key = os.getenv('OPENAI_API_KEY')
+        else: # self._variables['llm_provider'] == 'anthropic'
+            api_key = os.getenv('ANTHROPIC_API_KEY')
+
+        return api_key
+
+    # def _initialize_llm(self):
+    #
+    #
+    #     if self._variables['llm_provider'] == 'openai':
+    #         portkey_headers = createHeaders(api_key=os.getenv('PORTKEY_API_KEY'),
+    #                                         metadata=portkey_metadata,
+    #                                         provider='openai')
+    #
+    #         self._llm = ChatOpenAI(api_key=api_key,
+    #                                model=self._variables['llm_model'],
+    #                                temperature=self._variables['RAG_temperature'],
+    #                                base_url=PORTKEY_GATEWAY_URL,
+    #                                default_headers=portkey_headers)
+    #         self._llm_no_rag = ChatOpenAI(api_key=api_key,
+    #                                       model=self._variables['llm_model'],
+    #                                       temperature=self._variables['no_RAG_temperature'],
+    #                                       base_url=PORTKEY_GATEWAY_URL,
+    #                                       default_headers=portkey_headers)
+    #         self._variables['tool_calling_supported'] = self._variables['llm_model'] in ['gpt-4o', 'gpt-4o-mini']
+    #     elif self._variables['llm_provider'] == 'anthropic':
+    #         api_key = os.getenv('ANTHROPIC_API_KEY')
+    #         llm_model_ext = os.getenv('ANTHROPIC_LLM_VERSIONS', {}).get(self._variables['llm_model'])
+    #         self._llm = ChatAnthropic(api_key=api_key,
+    #                                   model=llm_model_ext,
+    #                                   temperature=self._variables['RAG_temperature'])
+    #         self._llm_no_rag = ChatAnthropic(api_key=api_key,
+    #                                          model=llm_model_ext,
+    #                                          temperature=self._variables['RAG_temperature'])
+    #         self._variables['tool_calling_supported'] = True
+    #     else:
+    #         raise ValueError(f"Invalid chat provider: {self._variables['llm_provider']}")
+
+    @property
+    def transcription_client(self):
+        environment = os.getenv('FLASK_ENV', 'development')
+        portkey_metadata = self.get_portkey_metadata()
+        portkey_headers = createHeaders(api_key=os.getenv('PORTKEY_API_KEY'),
+                                        metadata=portkey_metadata,
+                                        provider='openai',
+                                        trace_id=current_event.trace_id,
+                                        span_id=current_event.span_id,
+                                        span_name=current_event.span_name,
+                                        parent_span_id=current_event.parent_span_id
+                                        )
+        api_key = os.getenv('OPENAI_API_KEY')
+        self._transcription_client = OpenAI(api_key=api_key,
+                                            base_url=PORTKEY_GATEWAY_URL,
+                                            default_headers=portkey_headers)
+        self._variables['transcription_model'] = 'whisper-1'
+        return self._transcription_client
+
+    @property
+    def embedding_db_model(self):
+        if self._embedding_db_model is None:
+            self._embedding_db_model = self.get_embedding_db_model()
+        return self._embedding_db_model
+
+    def get_embedding_db_model(self):
+        current_app.logger.debug("In get_embedding_db_model")
+        if self._embedding_db_model is None:
+            self._embedding_db_model = EmbeddingSmallOpenAI \
+                if self._variables['embedding_model'] == 'text-embedding-3-small' \
+                else EmbeddingLargeOpenAI
+        current_app.logger.debug(f"Embedding DB Model: {self._embedding_db_model}")
+        return self._embedding_db_model
+
+    def get_prompt_template(self, template_name: str) -> str:
+        current_app.logger.info(f"Getting prompt template for {template_name}")
+        if template_name not in self._prompt_templates:
+            self._prompt_templates[template_name] = self._load_prompt_template(template_name)
+        return self._prompt_templates[template_name]
+
+    def _load_prompt_template(self, template_name: str) -> str:
+        # In the future, this method will make an API call to Portkey
+        # For now, we'll simulate it with a placeholder implementation
+        # You can replace this with your current prompt loading logic
+        return self._variables['templates'][template_name]
+
+    def __getitem__(self, key: str) -> Any:
+        current_app.logger.debug(f"ModelVariables: Getting {key}")
+        # Support older template names (suffix = _template)
+        if key.endswith('_template'):
+            key = key[:-len('_template')]
+            current_app.logger.debug(f"ModelVariables: Getting modified {key}")
+        if key == 'embedding_model':
+            return self.embedding_model
+        elif key == 'embedding_db_model':
+            return self.embedding_db_model
+        elif key == 'llm':
+            return self.llm
+        elif key == 'llm_no_rag':
+            return self.llm_no_rag
+        elif key == 'transcription_client':
+            return self.transcription_client
+        elif key in self._variables.get('prompt_templates', []):
+            return self.get_prompt_template(key)
+        return self._variables.get(key)
+
+    def __setitem__(self, key: str, value: Any) -> None:
+        self._variables[key] = value
+
+    def __delitem__(self, key: str) -> None:
+        del self._variables[key]
+
+    def __iter__(self) -> Iterator[str]:
+        return iter(self._variables)
+
+    def __len__(self):
+        return len(self._variables)
+
+    def get(self, key: str, default: Any = None) -> Any:
+        return self.__getitem__(key) or default
+
+    def update(self, **kwargs) -> None:
+        self._variables.update(kwargs)
+
+    def items(self):
+        return self._variables.items()
+
+    def keys(self):
+        return self._variables.keys()
+
+    def values(self):
+        return self._variables.values()
+
+
 def select_model_variables(tenant):
-    embedding_provider = tenant.embedding_model.rsplit('.', 1)[0]
-    embedding_model = tenant.embedding_model.rsplit('.', 1)[1]
-
-    llm_provider = tenant.llm_model.rsplit('.', 1)[0]
-    llm_model = tenant.llm_model.rsplit('.', 1)[1]
-
-    # Set model variables
-    model_variables = {}
-    if tenant.es_k:
-        model_variables['k'] = tenant.es_k
-    else:
-        model_variables['k'] = 5
-
-    if tenant.es_similarity_threshold:
-        model_variables['similarity_threshold'] = tenant.es_similarity_threshold
-    else:
-        model_variables['similarity_threshold'] = 0.7
-
-    if tenant.chat_RAG_temperature:
-        model_variables['RAG_temperature'] = tenant.chat_RAG_temperature
-    else:
-        model_variables['RAG_temperature'] = 0.3
-
-    if tenant.chat_no_RAG_temperature:
-        model_variables['no_RAG_temperature'] = tenant.chat_no_RAG_temperature
-    else:
-        model_variables['no_RAG_temperature'] = 0.5
-
-    # Set Tuning variables
-    if tenant.embed_tuning:
-        model_variables['embed_tuning'] = tenant.embed_tuning
-    else:
-        model_variables['embed_tuning'] = False
-
-    if tenant.rag_tuning:
-        model_variables['rag_tuning'] = tenant.rag_tuning
-    else:
-        model_variables['rag_tuning'] = False
-
-    if tenant.rag_context:
-        model_variables['rag_context'] = tenant.rag_context
-    else:
-        model_variables['rag_context'] = " "
-
-    # Set HTML Chunking Variables
-    model_variables['html_tags'] = tenant.html_tags
-    model_variables['html_end_tags'] = tenant.html_end_tags
-    model_variables['html_included_elements'] = tenant.html_included_elements
-    model_variables['html_excluded_elements'] = tenant.html_excluded_elements
-
-    # Set Chunk Size variables
-    model_variables['min_chunk_size'] = tenant.min_chunk_size
-    model_variables['max_chunk_size'] = tenant.max_chunk_size
-
-    environment = os.getenv('FLASK_ENV', 'development')
-    portkey_metadata = {'tenant_id': str(tenant.id), 'environment': environment}
-
-    # Set Embedding variables
-    match embedding_provider:
-        case 'openai':
-            portkey_headers = createHeaders(api_key=current_app.config.get('PORTKEY_API_KEY'),
-                                            provider='openai',
-                                            metadata=portkey_metadata)
-            match embedding_model:
-                case 'text-embedding-3-small':
-                    api_key = current_app.config.get('OPENAI_API_KEY')
-                    model_variables['embedding_model'] = OpenAIEmbeddings(api_key=api_key,
-                                                                          model='text-embedding-3-small',
-                                                                          base_url=PORTKEY_GATEWAY_URL,
-                                                                          default_headers=portkey_headers
-                                                                          )
-                    model_variables['embedding_db_model'] = EmbeddingSmallOpenAI
-                case 'text-embedding-3-large':
-                    api_key = current_app.config.get('OPENAI_API_KEY')
-                    model_variables['embedding_model'] = OpenAIEmbeddings(api_key=api_key,
-                                                                          model='text-embedding-3-large',
-                                                                          base_url=PORTKEY_GATEWAY_URL,
-                                                                          default_headers=portkey_headers
-                                                                          )
-                    model_variables['embedding_db_model'] = EmbeddingLargeOpenAI
-                case _:
-                    raise Exception(f'Error setting model variables for tenant {tenant.id} '
-                                    f'error: Invalid embedding model')
-        case _:
-            raise Exception(f'Error setting model variables for tenant {tenant.id} '
-                            f'error: Invalid embedding provider')
-
-    # Set Chat model variables
-    match llm_provider:
-        case 'openai':
-            portkey_headers = createHeaders(api_key=current_app.config.get('PORTKEY_API_KEY'),
-                                            metadata=portkey_metadata,
-                                            provider='openai')
-            tool_calling_supported = False
-            api_key = current_app.config.get('OPENAI_API_KEY')
-            model_variables['llm'] = ChatOpenAI(api_key=api_key,
-                                                model=llm_model,
-                                                temperature=model_variables['RAG_temperature'],
-                                                base_url=PORTKEY_GATEWAY_URL,
-                                                default_headers=portkey_headers)
-            model_variables['llm_no_rag'] = ChatOpenAI(api_key=api_key,
-                                                       model=llm_model,
-                                                       temperature=model_variables['no_RAG_temperature'],
-                                                       base_url=PORTKEY_GATEWAY_URL,
-                                                       default_headers=portkey_headers)
-            tool_calling_supported = False
-            match llm_model:
-                case 'gpt-4-turbo' | 'gpt-4o' | 'gpt-4o-mini':
-                    tool_calling_supported = True
-                case _:
-                    raise Exception(f'Error setting model variables for tenant {tenant.id} '
-                                    f'error: Invalid chat model')
-        case 'anthropic':
-            api_key = current_app.config.get('ANTHROPIC_API_KEY')
-            # Anthropic does not have the same 'generic' model names as OpenAI
-            llm_model_ext = current_app.config.get('ANTHROPIC_LLM_VERSIONS').get(llm_model)
-            model_variables['llm'] = ChatAnthropic(api_key=api_key,
-                                                   model=llm_model_ext,
-                                                   temperature=model_variables['RAG_temperature'])
-            model_variables['llm_no_rag'] = ChatAnthropic(api_key=api_key,
-                                                          model=llm_model_ext,
-                                                          temperature=model_variables['RAG_temperature'])
-            tool_calling_supported = True
-        case _:
-            raise Exception(f'Error setting model variables for tenant {tenant.id} '
-                            f'error: Invalid chat provider')
-
-    if tool_calling_supported:
-        model_variables['cited_answer_cls'] = CitedAnswer
-
-    templates = current_app.config['PROMPT_TEMPLATES'][f'{llm_provider}.{llm_model}']
-    model_variables['summary_template'] = templates['summary']
-    model_variables['rag_template'] = templates['rag']
-    model_variables['history_template'] = templates['history']
-    model_variables['encyclopedia_template'] = templates['encyclopedia']
-    model_variables['transcript_template'] = templates['transcript']
-    model_variables['html_parse_template'] = templates['html_parse']
-    model_variables['pdf_parse_template'] = templates['pdf_parse']
-
-    model_variables['annotation_chunk_length'] = current_app.config['ANNOTATION_TEXT_CHUNK_LENGTH'][tenant.llm_model]
-
-    # Transcription Client Variables.
-    # Using Groq
-    # api_key = current_app.config.get('GROQ_API_KEY')
-    # model_variables['transcription_client'] = Groq(api_key=api_key)
-    # model_variables['transcription_model'] = 'whisper-large-v3'
-
-    # Using OpenAI for transcriptions
-    portkey_metadata = {'tenant_id': str(tenant.id)}
-    portkey_headers = createHeaders(api_key=current_app.config.get('PORTKEY_API_KEY'),
-                                    metadata=portkey_metadata,
-                                    provider='openai'
-                                    )
-    api_key = current_app.config.get('OPENAI_API_KEY')
-    model_variables['transcription_client'] = OpenAI(api_key=api_key,
-                                                     base_url=PORTKEY_GATEWAY_URL,
-                                                     default_headers=portkey_headers)
-    model_variables['transcription_model'] = 'whisper-1'
-
+    model_variables = ModelVariables(tenant=tenant)
     return model_variables
 
 

common/utils/portkey_utils.py

@@ -0,0 +1,99 @@
+import requests
+import json
+from typing import Optional
+
+# Define a function to make the GET request
+def get_metadata_grouped_data(
+    api_key: str,
+    metadata_key: str,
+    time_of_generation_min: Optional[str] = None,
+    time_of_generation_max: Optional[str] = None,
+    total_units_min: Optional[int] = None,
+    total_units_max: Optional[int] = None,
+    cost_min: Optional[float] = None,
+    cost_max: Optional[float] = None,
+    prompt_token_min: Optional[int] = None,
+    prompt_token_max: Optional[int] = None,
+    completion_token_min: Optional[int] = None,
+    completion_token_max: Optional[int] = None,
+    status_code: Optional[str] = None,
+    weighted_feedback_min: Optional[float] = None,
+    weighted_feedback_max: Optional[float] = None,
+    virtual_keys: Optional[str] = None,
+    configs: Optional[str] = None,
+    workspace_slug: Optional[str] = None,
+    api_key_ids: Optional[str] = None,
+    current_page: Optional[int] = 1,
+    page_size: Optional[int] = 20,
+    metadata: Optional[str] = None,
+    ai_org_model: Optional[str] = None,
+    trace_id: Optional[str] = None,
+    span_id: Optional[str] = None,
+):
+    url = f"https://api.portkey.ai/v1/analytics/groups/metadata/{metadata_key}"
+
+    # Set up query parameters
+    params = {
+        "time_of_generation_min": time_of_generation_min,
+        "time_of_generation_max": time_of_generation_max,
+        "total_units_min": total_units_min,
+        "total_units_max": total_units_max,
+        "cost_min": cost_min,
+        "cost_max": cost_max,
+        "prompt_token_min": prompt_token_min,
+        "prompt_token_max": prompt_token_max,
+        "completion_token_min": completion_token_min,
+        "completion_token_max": completion_token_max,
+        "status_code": status_code,
+        "weighted_feedback_min": weighted_feedback_min,
+        "weighted_feedback_max": weighted_feedback_max,
+        "virtual_keys": virtual_keys,
+        "configs": configs,
+        "workspace_slug": workspace_slug,
+        "api_key_ids": api_key_ids,
+        "current_page": current_page,
+        "page_size": page_size,
+        "metadata": metadata,
+        "ai_org_model": ai_org_model,
+        "trace_id": trace_id,
+        "span_id": span_id,
+    }
+
+    # Remove any keys with None values
+    params = {k: v for k, v in params.items() if v is not None}
+
+    # Set up the headers
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+
+    # Make the GET request
+    response = requests.get(url, headers=headers, params=params)
+
+    # Check for successful response
+    if response.status_code == 200:
+        return response.json()  # Return JSON data
+    else:
+        response.raise_for_status()  # Raise an exception for errors
+
+# Example usage
+# Replace 'your_api_key' and 'your_metadata_key' with actual values
+api_key = 'your_api_key'
+metadata_key = 'your_metadata_key'
+
+try:
+    data = get_metadata_grouped_data(
+        api_key=api_key,
+        metadata_key=metadata_key,
+        time_of_generation_min="2024-08-23T15:50:23+05:30",
+        time_of_generation_max="2024-09-23T15:50:23+05:30",
+        total_units_min=100,
+        total_units_max=1000,
+        cost_min=10,
+        cost_max=100,
+        status_code="200,201"
+    )
+    print(json.dumps(data, indent=4))
+except Exception as e:
+    print(f"Error occurred: {str(e)}")

common/utils/view_assistants.py

@@ -1,4 +1,4 @@
-from flask import flash
+from flask import flash, current_app
 
 
 def prepare_table(model_objects, column_names):
@@ -44,7 +44,8 @@ def form_validation_failed(request, form):
         for fieldName, errorMessages in form.errors.items():
             for err in errorMessages:
                 flash(f"Error in {fieldName}: {err}", 'danger')
+                current_app.logger.debug(f"Error in {fieldName}: {err}", 'danger')
 
 
 def form_to_dict(form):
-    return {field.name: field.data for field in form if field.name != 'csrf_token' and hasattr(field, 'data')}
+    return {field.name: field.data for field in form if field.name != 'csrf_token' and hasattr(field, 'data')}

config/config.py

@@ -53,7 +53,7 @@ class Config(object):
     WTF_CSRF_CHECK_DEFAULT = False
 
     # file upload settings
-    MAX_CONTENT_LENGTH = 16 * 1024 * 1024
+    MAX_CONTENT_LENGTH = 50 * 1024 * 1024
     UPLOAD_EXTENSIONS = ['.txt', '.pdf', '.png', '.jpg', '.jpeg', '.gif']
 
     # supported languages
@@ -107,6 +107,7 @@ class Config(object):
 
     # JWT settings
     JWT_SECRET_KEY = environ.get('JWT_SECRET_KEY')
+    JWT_ACCESS_TOKEN_EXPIRES = timedelta(hours=1)  # Set token expiry to 1 hour
 
     # API Encryption
     API_ENCRYPTION_KEY = environ.get('API_ENCRYPTION_KEY')
@@ -136,6 +137,16 @@ class Config(object):
     MAIL_PASSWORD = environ.get('MAIL_PASSWORD')
     MAIL_DEFAULT_SENDER = ('eveAI Admin', MAIL_USERNAME)
 
+    # Langsmith settings
+    LANGCHAIN_TRACING_V2 = True
+    LANGCHAIN_ENDPOINT = 'https://api.smith.langchain.com'
+    LANGCHAIN_PROJECT = "eveai"
+
+
+    SUPPORTED_FILE_TYPES = ['pdf', 'html', 'md', 'txt', 'mp3', 'mp4', 'ogg', 'srt']
+
+    TENANT_TYPES = ['Active', 'Demo', 'Inactive', 'Test']
+
 
 class DevConfig(Config):
     DEVELOPMENT = True

config/gc_sa_eveai.json

@@ -1,13 +0,0 @@
-{
-  "type": "service_account",
-  "project_id": "eveai-420711",
-  "private_key_id": "e666408e75793321a6134243628346722a71b3a6",
-  "private_key": "-----BEGIN PRIVATE KEY-----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\n80IlzI1yMf7MVmWn3e1zPjCA\n-----END PRIVATE KEY-----\n",
-  "client_email": "eveai-349@eveai-420711.iam.gserviceaccount.com",
-  "client_id": "109927035346319712442",
-  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-  "token_uri": "https://oauth2.googleapis.com/token",
-  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/eveai-349%40eveai-420711.iam.gserviceaccount.com",
-  "universe_domain": "googleapis.com"
-}

config/logging_config.py

@@ -12,7 +12,12 @@ env = os.environ.get('FLASK_ENV', 'development')
 class CustomLogRecord(logging.LogRecord):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        self.component = os.environ.get('COMPONENT_NAME', 'eveai_app')  # Set default component value here
+        self.component = os.environ.get('COMPONENT_NAME', 'eveai_app')
+
+    def __setattr__(self, name, value):
+        if name not in {'event_type', 'tenant_id', 'trace_id', 'span_id', 'span_name', 'parent_span_id',
+                        'document_version_id', 'chat_session_id', 'interaction_id', 'environment'}:
+            super().__setattr__(name, value)
 
 
 def custom_log_record_factory(*args, **kwargs):
@@ -60,6 +65,14 @@ LOGGING = {
             'backupCount': 10,
             'formatter': 'standard',
         },
+        'file_api': {
+            'level': 'DEBUG',
+            'class': 'logging.handlers.RotatingFileHandler',
+            'filename': 'logs/eveai_api.log',
+            'maxBytes': 1024 * 1024 * 5,  # 5MB
+            'backupCount': 10,
+            'formatter': 'standard',
+        },
         'file_sqlalchemy': {
             'level': 'DEBUG',
             'class': 'logging.handlers.RotatingFileHandler',
@@ -100,6 +113,14 @@ LOGGING = {
             'backupCount': 10,
             'formatter': 'standard',
         },
+        'file_business_events': {
+            'level': 'INFO',
+            'class': 'logging.handlers.RotatingFileHandler',
+            'filename': 'logs/business_events.log',
+            'maxBytes': 1024 * 1024 * 5,  # 5MB
+            'backupCount': 10,
+            'formatter': 'standard',
+        },
         'console': {
             'class': 'logging.StreamHandler',
             'level': 'DEBUG',
@@ -146,6 +167,11 @@ LOGGING = {
             'level': 'DEBUG',
             'propagate': False
         },
+        'eveai_api': {  # logger for the eveai_chat_workers
+            'handlers': ['file_api', 'graylog', ] if env == 'production' else ['file_api', ],
+            'level': 'DEBUG',
+            'propagate': False
+        },
         'sqlalchemy.engine': {  # logger for the sqlalchemy
             'handlers': ['file_sqlalchemy', 'graylog', ] if env == 'production' else ['file_sqlalchemy', ],
             'level': 'DEBUG',
@@ -171,6 +197,11 @@ LOGGING = {
             'level': 'DEBUG',
             'propagate': False
         },
+        'business_events': {
+            'handlers': ['file_business_events', 'graylog'],
+            'level': 'DEBUG',
+            'propagate': False
+        },
         '': {  # root logger
             'handlers': ['console'],
             'level': 'WARNING',  # Set higher level for root to minimize noise

config/model_config.py

@@ -0,0 +1,41 @@
+MODEL_CONFIG = {
+    "openai": {
+        "gpt-4o": {
+            "tool_calling_supported": True,
+            "processing_chunk_size": 10000,
+            "processing_chunk_overlap": 200,
+            "processing_min_chunk_size": 8000,
+            "processing_max_chunk_size": 12000,
+            "prompt_templates": [
+                "summary", "rag", "history", "encyclopedia",
+                "transcript", "html_parse", "pdf_parse"
+            ]
+        },
+        "gpt-4o-mini": {
+            "tool_calling_supported": True,
+            "processing_chunk_size": 10000,
+            "processing_chunk_overlap": 200,
+            "processing_min_chunk_size": 8000,
+            "processing_max_chunk_size": 12000,
+            "prompt_templates": [
+                "summary", "rag", "history", "encyclopedia",
+                "transcript", "html_parse", "pdf_parse"
+            ]
+        },
+        # Add other OpenAI models here
+    },
+    "anthropic": {
+        "claude-3-5-sonnet": {
+            "tool_calling_supported": True,
+            "processing_chunk_size": 10000,
+            "processing_chunk_overlap": 200,
+            "processing_min_chunk_size": 8000,
+            "processing_max_chunk_size": 12000,
+            "prompt_templates": [
+                "summary", "rag", "history", "encyclopedia",
+                "transcript", "html_parse", "pdf_parse"
+            ]
+        },
+        # Add other Anthropic models here
+    },
+}

config/prompts/openai/gpt-4o.yaml

@@ -15,11 +15,12 @@ html_parse: |
 
 pdf_parse: |
   You are a top administrative aid specialized in transforming given PDF-files into markdown formatted files. The generated files will be used to generate embeddings in a RAG-system.
+  The content you get is already processed (some markdown already generated), but needs to be corrected. For large files, you may receive only portions of the full file. Consider this when processing the content.
 
   # Best practices are:
-  - Respect wordings and language(s) used in the PDF.
+  - Respect wordings and language(s) used in the provided content.
   - The following items need to be considered: headings, paragraphs, listed items (numbered or not) and tables. Images can be neglected.
-  - When headings are numbered, show the numbering and define the header level. 
+  - When headings are numbered, show the numbering and define the header level. You may have to correct current header levels, as preprocessing is known to make errors.
   - A new item is started when a <return> is found before a full line is reached. In order to know the number of characters in a line, please check the document and the context within the document (e.g. an image could limit the number of characters temporarily).
   - Paragraphs are to be stripped of newlines so they become easily readable.
   - Be careful of encoding of the text. Everything needs to be human readable.
@@ -64,11 +65,13 @@ encyclopedia: |
 
 transcript: |
   You are a top administrative assistant specialized in transforming given transcriptions into markdown formatted files. The generated files will be used to generate embeddings in a RAG-system. The transcriptions originate from podcast, videos and similar material.
+  You may receive information in different chunks. If you're not receiving the first chunk, you'll get the last part of the previous chunk, including it's title in between triple $. Consider this last part and the title as the start of the new chunk.
+
 
   # Best practices and steps are:
   - Respect wordings and language(s) used in the transcription. Main language is {language}.
   - Sometimes, the transcript contains speech of several people participating in a conversation. Although these are not obvious from reading the file, try to detect when other people are speaking.    
-  - Divide the transcript into several logical parts. Ensure questions and their answers are in the same logical part.
+  - Divide the transcript into several logical parts. Ensure questions and their answers are in the same logical part. Don't make logical parts too small. They should contain at least 7 or 8 sentences.
   - annotate the text to identify these logical parts using headings in {language}.
   - improve errors in the transcript given the context, but do not change the meaning and intentions of the transcription.
 
@@ -76,4 +79,6 @@ transcript: |
 
   The transcript is between triple backquotes.
 
+  $$${previous_part}$$$
+
   ```{transcript}```

docker/build_and_push_eveai.sh

@@ -141,7 +141,7 @@ if [ $# -eq 0 ]; then
     SERVICES=()
     while IFS= read -r line; do
         SERVICES+=("$line")
-    done < <(yq e '.services | keys | .[]' compose_dev.yaml | grep -E '^(nginx|eveai_)')
+    done < <(yq e '.services | keys | .[]' compose_dev.yaml | grep -E '^(nginx|eveai_|flower)')
 else
     SERVICES=("$@")
 fi
@@ -158,7 +158,7 @@ docker buildx use eveai_builder
 
 # Loop through services
 for SERVICE in "${SERVICES[@]}"; do
-    if [[ "$SERVICE" == "nginx" || "$SERVICE" == eveai_* ]]; then
+    if [[ "$SERVICE" == "nginx" || "$SERVICE" == eveai_* || "$SERVICE" == "flower" ]]; then
         if process_service "$SERVICE"; then
             echo "Successfully processed $SERVICE"
         else

docker/compose_dev.yaml

@@ -22,6 +22,8 @@ x-common-variables: &common-variables
   MAIL_PASSWORD: '$$6xsWGbNtx$$CFMQZqc*'
   MAIL_SERVER: mail.flow-it.net
   MAIL_PORT: 465
+  REDIS_URL: redis
+  REDIS_PORT: '6379'
   OPENAI_API_KEY: 'sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7'
   GROQ_API_KEY: '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'
   ANTHROPIC_API_KEY: 'sk-ant-api03-c2TmkzbReeGhXBO5JxNH6BJNylRDonc9GmZd0eRbrvyekec2'
@@ -32,6 +34,7 @@ x-common-variables: &common-variables
   MINIO_ACCESS_KEY: minioadmin
   MINIO_SECRET_KEY: minioadmin
   NGINX_SERVER_NAME: 'localhost http://macstudio.ask-eve-ai-local.com/'
+  LANGCHAIN_API_KEY: "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"
 
 
 networks:
@@ -57,6 +60,9 @@ services:
       - ../nginx/sites-enabled:/etc/nginx/sites-enabled
       - ../nginx/static:/etc/nginx/static
       - ../nginx/public:/etc/nginx/public
+      - ../integrations/Wordpress/eveai-chat-widget/css/eveai-chat-style.css:/etc/nginx/static/css/eveai-chat-style.css
+      - ../integrations/Wordpress/eveai-chat-widget/js/eveai-chat-widget.js:/etc/nginx/static/js/eveai-chat-widget.js
+      - ../integrations/Wordpress/eveai-chat-widget/js/eveai-sdk.js:/etc/nginx/static/js/eveai-sdk.js
       - ./logs/nginx:/var/log/nginx
     depends_on:
       - eveai_app
@@ -93,12 +99,11 @@ services:
        minio:
          condition: service_healthy
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:5001/health"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-#    entrypoint: ["scripts/entrypoint.sh"]
-#    command: ["scripts/start_eveai_app.sh"]
+      test: ["CMD", "curl", "-f", "http://localhost:5001/healthz/ready"]
+      interval: 30s
+      timeout: 1s
+      retries: 3
+      start_period: 30s
     networks:
       - eveai-network
 
@@ -110,8 +115,6 @@ services:
       platforms:
         - linux/amd64
         - linux/arm64
-#    ports:
-#      - 5001:5001
     environment:
       <<: *common-variables
       COMPONENT_NAME: eveai_workers
@@ -129,13 +132,6 @@ services:
         condition: service_healthy
       minio:
         condition: service_healthy
-#    healthcheck:
-#      test: [ "CMD", "curl", "-f", "http://localhost:5001/health" ]
-#      interval: 10s
-#      timeout: 5s
-#      retries: 5
-#    entrypoint: [ "sh", "-c", "scripts/entrypoint.sh" ]
-#    command: [ "sh", "-c", "scripts/start_eveai_workers.sh" ]
     networks:
       - eveai-network
 
@@ -165,12 +161,11 @@ services:
       redis:
         condition: service_healthy
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:5002/health" ]  # Adjust based on your health endpoint
-      interval: 10s
-      timeout: 5s
-      retries: 5
-#    entrypoint: [ "sh", "-c", "scripts/entrypoint.sh" ]
-#    command: ["sh", "-c", "scripts/start_eveai_chat.sh"]
+      test: [ "CMD", "curl", "-f", "http://localhost:5002/healthz/ready" ]  # Adjust based on your health endpoint
+      interval: 30s
+      timeout: 1s
+      retries: 3
+      start_period: 30s
     networks:
       - eveai-network
 
@@ -182,8 +177,6 @@ services:
       platforms:
         - linux/amd64
         - linux/arm64
-#    ports:
-#      - 5001:5001
     environment:
       <<: *common-variables
       COMPONENT_NAME: eveai_chat_workers
@@ -199,13 +192,42 @@ services:
         condition: service_healthy
       redis:
         condition: service_healthy
-#    healthcheck:
-#      test: [ "CMD", "curl", "-f", "http://localhost:5001/health" ]
-#      interval: 10s
-#      timeout: 5s
-#      retries: 5
-#    entrypoint: [ "sh", "-c", "scripts/entrypoint.sh" ]
-#    command: [ "sh", "-c", "scripts/start_eveai_chat_workers.sh" ]
+    networks:
+      - eveai-network
+
+  eveai_api:
+    image: josakola/eveai_api:latest
+    build:
+      context: ..
+      dockerfile: ./docker/eveai_api/Dockerfile
+      platforms:
+        - linux/amd64
+        - linux/arm64
+    ports:
+      - 5003:5003
+    environment:
+      <<: *common-variables
+      COMPONENT_NAME: eveai_api
+    volumes:
+      - ../eveai_api:/app/eveai_api
+      - ../common:/app/common
+      - ../config:/app/config
+      - ../scripts:/app/scripts
+      - ../patched_packages:/app/patched_packages
+      - eveai_logs:/app/logs
+    depends_on:
+      db:
+        condition: service_healthy
+      redis:
+        condition: service_healthy
+      minio:
+        condition: service_healthy
+    healthcheck:
+      test: [ "CMD", "curl", "-f", "http://localhost:5003/healthz/ready" ]
+      interval: 30s
+      timeout: 1s
+      retries: 3
+      start_period: 30s
     networks:
       - eveai-network
 
@@ -245,6 +267,22 @@ services:
     networks:
       - eveai-network
 
+  flower:
+    image: josakola/flower:latest
+    build:
+      context: ..
+      dockerfile: ./docker/flower/Dockerfile
+    environment:
+      <<: *common-variables
+    volumes:
+      - ../scripts:/app/scripts
+    ports:
+      - "5555:5555"
+    depends_on:
+      - redis
+    networks:
+      - eveai-network
+
   minio:
     image: minio/minio
     ports:

docker/compose_stackhero.yaml

@@ -21,11 +21,13 @@ x-common-variables: &common-variables
   MAIL_USERNAME: 'evie_admin@askeveai.com'
   MAIL_PASSWORD: 's5D%R#y^v!s&6Z^i0k&'
   MAIL_SERVER: mail.askeveai.com
-  MAIL_PORT: 465
+  MAIL_PORT: '465'
   REDIS_USER: eveai
   REDIS_PASS: 'jHliZwGD36sONgbm0fc6SOpzLbknqq4RNF8K'
   REDIS_URL: 8bciqc.stackhero-network.com
   REDIS_PORT: '9961'
+  FLOWER_USER: 'Felucia'
+  FLOWER_PASSWORD: 'Jungles'
   OPENAI_API_KEY: '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'
   GROQ_API_KEY: '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'
   ANTHROPIC_API_KEY: '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'
@@ -38,6 +40,7 @@ x-common-variables: &common-variables
   MINIO_ACCESS_KEY: 04JKmQln8PQpyTmMiCPc
   MINIO_SECRET_KEY: 2PEZAD1nlpAmOyDV0TUTuJTQw1qVuYLF3A7GMs0D
   NGINX_SERVER_NAME: 'evie.askeveai.com mxz536.stackhero-network.com'
+  LANGCHAIN_API_KEY: "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"
 
 networks:
   eveai-network:
@@ -53,10 +56,6 @@ services:
     environment:
       <<: *common-variables
     volumes:
-#      - ../nginx:/etc/nginx
-#      - ../nginx/sites-enabled:/etc/nginx/sites-enabled
-#      - ../nginx/static:/etc/nginx/static
-#      - ../nginx/public:/etc/nginx/public
       - eveai_logs:/var/log/nginx
     labels:
       - "traefik.enable=true"
@@ -81,7 +80,7 @@ services:
     volumes:
       - eveai_logs:/app/logs
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:5001/health"]
+      test: ["CMD", "curl", "-f", "http://localhost:5001/healthz/ready"]
       interval: 10s
       timeout: 5s
       retries: 5
@@ -91,18 +90,11 @@ services:
   eveai_workers:
     platform: linux/amd64
     image: josakola/eveai_workers:latest
-#    ports:
-#      - 5001:5001
     environment:
       <<: *common-variables
       COMPONENT_NAME: eveai_workers
     volumes:
       - eveai_logs:/app/logs
-#    healthcheck:
-#      test: [ "CMD", "curl", "-f", "http://localhost:5001/health" ]
-#      interval: 10s
-#      timeout: 5s
-#      retries: 5
     networks:
       - eveai-network
 
@@ -117,7 +109,7 @@ services:
     volumes:
       - eveai_logs:/app/logs
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:5002/health" ]  # Adjust based on your health endpoint
+      test: [ "CMD", "curl", "-f", "http://localhost:5002/healthz/ready" ]  # Adjust based on your health endpoint
       interval: 10s
       timeout: 5s
       retries: 5
@@ -127,28 +119,42 @@ services:
   eveai_chat_workers:
     platform: linux/amd64
     image: josakola/eveai_chat_workers:latest
-#    ports:
-#      - 5001:5001
     environment:
       <<: *common-variables
       COMPONENT_NAME: eveai_chat_workers
     volumes:
       - eveai_logs:/app/logs
-#    healthcheck:
-#      test: [ "CMD", "curl", "-f", "http://localhost:5001/health" ]
-#      interval: 10s
-#      timeout: 5s
-#      retries: 5
+    networks:
+      - eveai-network
+
+  eveai_api:
+    platform: linux/amd64
+    image: josakola/eveai_api:latest
+    ports:
+      - 5003:5003
+    environment:
+      <<: *common-variables
+      COMPONENT_NAME: eveai_api
+    volumes:
+      - eveai_logs:/app/logs
+    healthcheck:
+      test: [ "CMD", "curl", "-f", "http://localhost:5003/healthz/ready" ]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    networks:
+      - eveai-network
+
+  flower:
+    image: josakola/flower:latest
+    environment:
+      <<: *common-variables
+    ports:
+      - "5555:5555"
     networks:
       - eveai-network
 
 volumes:
   eveai_logs:
-#  miniAre theo_data:
-#  db-data:
-#  redis-data:
-#  tenant-files:
-#secrets:
-#  db-password:
-#    file: ./db/password.txt
+
 

docker/eveai_api/Dockerfile

@@ -0,0 +1,70 @@
+ARG PYTHON_VERSION=3.12.3
+FROM python:${PYTHON_VERSION}-slim as base
+
+# Prevents Python from writing pyc files.
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Keeps Python from buffering stdout and stderr to avoid situations where
+# the application crashes without emitting any logs due to buffering.
+ENV PYTHONUNBUFFERED=1
+
+# Create directory for patched packages and set permissions
+RUN mkdir -p /app/patched_packages && \
+    chmod 777 /app/patched_packages
+
+# Ensure patches are applied to the application.
+ENV PYTHONPATH=/app/patched_packages:$PYTHONPATH
+
+WORKDIR /app
+
+# Create a non-privileged user that the app will run under.
+# See https://docs.docker.com/go/dockerfile-user-best-practices/
+ARG UID=10001
+RUN adduser \
+    --disabled-password \
+    --gecos "" \
+    --home "/nonexistent" \
+    --shell "/bin/bash" \
+    --no-create-home \
+    --uid "${UID}" \
+    appuser
+
+# Install necessary packages and build tools
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    gcc \
+    postgresql-client \
+    curl \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create logs directory and set permissions
+RUN mkdir -p /app/logs && chown -R appuser:appuser /app/logs
+
+# Download dependencies as a separate step to take advantage of Docker's caching.
+# Leverage a cache mount to /root/.cache/pip to speed up subsequent builds.
+# Leverage a bind mount to requirements.txt to avoid having to copy them into
+# into this layer.
+
+COPY requirements.txt /app/
+RUN python -m pip install -r /app/requirements.txt
+
+# Copy the source code into the container.
+COPY eveai_api /app/eveai_api
+COPY common /app/common
+COPY config /app/config
+COPY scripts /app/scripts
+COPY patched_packages /app/patched_packages
+
+# Set permissions for entrypoint script
+RUN chmod 777 /app/scripts/entrypoint.sh
+
+# Set ownership of the application directory to the non-privileged user
+RUN chown -R appuser:appuser /app
+
+# Expose the port that the application listens on.
+EXPOSE 5003
+
+# Set entrypoint and command
+ENTRYPOINT ["/app/scripts/entrypoint.sh"]
+CMD ["/app/scripts/start_eveai_api.sh"]

docker/eveai_app/Dockerfile

@@ -34,6 +34,7 @@ RUN apt-get update && apt-get install -y \
     build-essential \
     gcc \
     postgresql-client \
+    curl \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 

docker/eveai_chat/Dockerfile

@@ -34,6 +34,7 @@ RUN apt-get update && apt-get install -y \
     build-essential \
     gcc \
     postgresql-client \
+    curl \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
@@ -45,7 +46,7 @@ RUN mkdir -p /app/logs && chown -R appuser:appuser /app/logs
 # Leverage a bind mount to requirements.txt to avoid having to copy them into
 # into this layer.
 
-COPY ../../requirements.txt /app/
+COPY requirements.txt /app/
 RUN python -m pip install -r requirements.txt
 
 # Copy the source code into the container.

docker/flower/Dockerfile

@@ -0,0 +1,34 @@
+ARG PYTHON_VERSION=3.12.3
+FROM python:${PYTHON_VERSION}-slim as base
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+ARG UID=10001
+RUN adduser \
+    --disabled-password \
+    --gecos "" \
+    --home "/nonexistent" \
+    --shell "/bin/bash" \
+    --no-create-home \
+    --uid "${UID}" \
+    appuser
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    gcc \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt /app/
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . /app
+COPY scripts/start_flower.sh /app/start_flower.sh
+RUN chmod a+x /app/start_flower.sh
+
+USER appuser
+
+CMD ["/app/start_flower.sh"]

docker/nginx/Dockerfile

@@ -10,6 +10,9 @@ COPY ../../nginx/mime.types /etc/nginx/mime.types
 # Copy static & public files
 RUN mkdir -p /etc/nginx/static /etc/nginx/public
 COPY ../../nginx/static /etc/nginx/static
+COPY ../../integrations/Wordpress/eveai-chat-widget/css/eveai-chat-style.css /etc/nginx/static/css/
+COPY ../../integrations/Wordpress/eveai-chat-widget/js/eveai-chat-widget.js /etc/nginx/static/js/
+COPY ../../integrations/Wordpress/eveai-chat-widget/js/eveai-sdk.js /etc/nginx/static/js
 COPY ../../nginx/public /etc/nginx/public
 
 # Copy site-specific configurations

eveai_api/__init__.py

@@ -1,4 +1,117 @@
-# from flask import Blueprint, request
-#
-# public_api_bp = Blueprint("public", __name__, url_prefix="/api/v1")
-# tenant_api_bp = Blueprint("tenant", __name__, url_prefix="/api/v1/tenant")
+from flask import Flask, jsonify, request
+from flask_jwt_extended import get_jwt_identity, verify_jwt_in_request
+from common.extensions import db, api_rest, jwt, minio_client, simple_encryption
+import os
+import logging.config
+
+from common.utils.database import Database
+from config.logging_config import LOGGING
+from .api.document_api import document_ns
+from .api.auth import auth_ns
+from config.config import get_config
+from common.utils.celery_utils import make_celery, init_celery
+from common.utils.eveai_exceptions import EveAIException
+
+
+def create_app(config_file=None):
+    app = Flask(__name__)
+
+    environment = os.getenv('FLASK_ENV', 'development')
+
+    match environment:
+        case 'development':
+            app.config.from_object(get_config('dev'))
+        case 'production':
+            app.config.from_object(get_config('prod'))  
+        case _:
+            app.config.from_object(get_config('dev'))
+
+    app.config['SESSION_KEY_PREFIX'] = 'eveai_api_'
+
+    app.celery = make_celery(app.name, app.config)
+    init_celery(app.celery, app)
+
+    logging.config.dictConfig(LOGGING)
+    logger = logging.getLogger(__name__)
+
+    logger.info("eveai_api starting up")
+
+    # Register Necessary Extensions
+    register_extensions(app)
+
+    # register Namespaces
+    register_namespaces(api_rest)
+
+    # Register Blueprints
+    register_blueprints(app)
+
+    # Error handler for the API
+    @app.errorhandler(EveAIException)
+    def handle_eveai_exception(error):
+        return {'message': str(error)}, error.status_code
+
+    @app.before_request
+    def before_request():
+        app.logger.debug(f'Before request: {request.method} {request.path}')
+        app.logger.debug(f'Request URL: {request.url}')
+        app.logger.debug(f'Request headers: {dict(request.headers)}')
+
+        # Log request arguments
+        app.logger.debug(f'Request args: {request.args}')
+
+        # Log form data if it's a POST request
+        if request.method == 'POST':
+            app.logger.debug(f'Form data: {request.form}')
+
+        # Log JSON data if the content type is application/json
+        if request.is_json:
+            app.logger.debug(f'JSON data: {request.json}')
+
+        # Log raw data for other content types
+        if request.data:
+            app.logger.debug(f'Raw data: {request.data}')
+
+        # Check if this is a request to the token endpoint
+        if request.path == '/api/v1/auth/token' and request.method == 'POST':
+            app.logger.debug('Token request detected, skipping JWT verification')
+            return
+
+        # Check if this a health check request
+        if request.path.startswith('/_healthz') or request.path.startswith('/healthz'):
+            app.logger.debug('Health check request detected, skipping JWT verification')
+        else:
+            try:
+                verify_jwt_in_request(optional=True)
+                tenant_id = get_jwt_identity()
+                app.logger.debug(f'Tenant ID from JWT: {tenant_id}')
+
+                if tenant_id:
+                    Database(tenant_id).switch_schema()
+                    app.logger.debug(f'Switched to schema for tenant {tenant_id}')
+                else:
+                    app.logger.debug('No tenant ID found in JWT')
+            except Exception as e:
+                app.logger.error(f'Error in before_request: {str(e)}')
+                # Don't raise the exception here, let the request continue
+                # The appropriate error handling will be done in the specific endpoints
+
+    return app
+
+
+def register_extensions(app):
+    db.init_app(app)
+    api_rest.init_app(app, title='EveAI API', version='1.0', description='EveAI API')
+    jwt.init_app(app)
+    minio_client.init_app(app)
+    simple_encryption.init_app(app)
+
+
+def register_namespaces(app):
+    api_rest.add_namespace(document_ns, path='/api/v1/documents')
+    api_rest.add_namespace(auth_ns, path='/api/v1/auth')
+
+
+def register_blueprints(app):
+    from .views.healthz_views import healthz_bp
+    app.register_blueprint(healthz_bp)
+

eveai_api/api/auth.py

@@ -0,0 +1,75 @@
+from datetime import timedelta
+
+from flask_restx import Namespace, Resource, fields
+from flask_jwt_extended import create_access_token
+from common.models.user import Tenant
+from common.extensions import simple_encryption
+from flask import current_app, request
+
+auth_ns = Namespace('auth', description='Authentication related operations')
+
+token_model = auth_ns.model('Token', {
+    'tenant_id': fields.Integer(required=True, description='Tenant ID'),
+    'api_key': fields.String(required=True, description='API Key')
+})
+
+token_response = auth_ns.model('TokenResponse', {
+    'access_token': fields.String(description='JWT access token'),
+    'expires_in': fields.Integer(description='Token expiration time in seconds')
+})
+
+
+@auth_ns.route('/token')
+class Token(Resource):
+    @auth_ns.expect(token_model)
+    @auth_ns.response(200, 'Success', token_response)
+    @auth_ns.response(400, 'Validation Error')
+    @auth_ns.response(401, 'Unauthorized')
+    @auth_ns.response(404, 'Tenant Not Found')
+    def post(self):
+        """
+        Get JWT token
+        """
+        current_app.logger.debug(f"Token endpoint called with data: {request.json}")
+
+        try:
+            tenant_id = auth_ns.payload['tenant_id']
+            api_key = auth_ns.payload['api_key']
+        except KeyError as e:
+            current_app.logger.error(f"Missing required field: {e}")
+            return {'message': f"Missing required field: {e}"}, 400
+
+        current_app.logger.debug(f"Querying database for tenant: {tenant_id}")
+        tenant = Tenant.query.get(tenant_id)
+
+        if not tenant:
+            current_app.logger.error(f"Tenant not found: {tenant_id}")
+            return {'message': "Tenant not found"}, 404
+
+        current_app.logger.debug(f"Tenant found: {tenant.id}")
+
+        try:
+            current_app.logger.debug("Attempting to decrypt API key")
+            decrypted_api_key = simple_encryption.decrypt_api_key(tenant.encrypted_api_key)
+        except Exception as e:
+            current_app.logger.error(f"Error decrypting API key: {e}")
+            return {'message': "Internal server error"}, 500
+
+        if api_key != decrypted_api_key:
+            current_app.logger.error(f"Invalid API key for tenant: {tenant_id}")
+            return {'message': "Invalid API key"}, 401
+
+        # Get the JWT_ACCESS_TOKEN_EXPIRES setting from the app config
+        expires_delta = current_app.config.get('JWT_ACCESS_TOKEN_EXPIRES', timedelta(minutes=15))
+
+        try:
+            current_app.logger.debug(f"Creating access token for tenant: {tenant_id}")
+            access_token = create_access_token(identity=tenant_id, expires_delta=expires_delta)
+            current_app.logger.debug("Access token created successfully")
+            return {
+                'access_token': access_token,
+                'expires_in': expires_delta.total_seconds()
+            }, 200
+        except Exception as e:
+            current_app.logger.error(f"Error creating access token: {e}")
+            return {'message': "Internal server error"}, 500

eveai_api/api/document_api.py

@@ -0,0 +1,313 @@
+import json
+from datetime import datetime
+
+import pytz
+from flask import current_app, request
+from flask_restx import Namespace, Resource, fields, reqparse
+from flask_jwt_extended import jwt_required, get_jwt_identity
+from werkzeug.datastructures import FileStorage
+from werkzeug.utils import secure_filename
+from common.utils.document_utils import (
+    create_document_stack, process_url, start_embedding_task,
+    validate_file_type, EveAIInvalidLanguageException, EveAIDoubleURLException, EveAIUnsupportedFileType,
+    process_multiple_urls, get_documents_list, edit_document, refresh_document, edit_document_version,
+    refresh_document_with_info
+)
+
+
+def validate_date(date_str):
+    try:
+        return datetime.fromisoformat(date_str).replace(tzinfo=pytz.UTC)
+    except ValueError:
+        raise ValueError("Invalid date format. Use ISO format (YYYY-MM-DDTHH:MM:SS).")
+
+
+def validate_json(json_str):
+    try:
+        return json.loads(json_str)
+    except json.JSONDecodeError:
+        raise ValueError("Invalid JSON format for user_metadata.")
+
+
+document_ns = Namespace('documents', description='Document related operations')
+
+# Define models for request parsing and response serialization
+upload_parser = reqparse.RequestParser()
+upload_parser.add_argument('file', location='files', type=FileStorage, required=True, help='The file to upload')
+upload_parser.add_argument('name', location='form', type=str, required=False, help='Name of the document')
+upload_parser.add_argument('language', location='form', type=str, required=True, help='Language of the document')
+upload_parser.add_argument('user_context', location='form', type=str, required=False,
+                           help='User context for the document')
+upload_parser.add_argument('valid_from', location='form', type=validate_date, required=False,
+                           help='Valid from date for the document (ISO format)')
+upload_parser.add_argument('user_metadata', location='form', type=validate_json, required=False,
+                           help='User metadata for the document (JSON format)')
+
+add_document_response = document_ns.model('AddDocumentResponse', {
+    'message': fields.String(description='Status message'),
+    'document_id': fields.Integer(description='ID of the created document'),
+    'document_version_id': fields.Integer(description='ID of the created document version'),
+    'task_id': fields.String(description='ID of the embedding task')
+})
+
+
+@document_ns.route('/add_document')
+class AddDocument(Resource):
+    @jwt_required()
+    @document_ns.expect(upload_parser)
+    @document_ns.response(201, 'Document added successfully', add_document_response)
+    @document_ns.response(400, 'Validation Error')
+    @document_ns.response(500, 'Internal Server Error')
+    def post(self):
+        """
+        Add a new document
+        """
+        tenant_id = get_jwt_identity()
+        current_app.logger.info(f'Adding document for tenant {tenant_id}')
+
+        try:
+            args = upload_parser.parse_args()
+
+            file = args['file']
+            filename = secure_filename(file.filename)
+            extension = filename.rsplit('.', 1)[1].lower()
+
+            validate_file_type(extension)
+
+            api_input = {
+                'name': args.get('name') or filename,
+                'language': args.get('language'),
+                'user_context': args.get('user_context'),
+                'valid_from': args.get('valid_from'),
+                'user_metadata': args.get('user_metadata'),
+            }
+
+            new_doc, new_doc_vers = create_document_stack(api_input, file, filename, extension, tenant_id)
+            task_id = start_embedding_task(tenant_id, new_doc_vers.id)
+
+            return {
+                'message': f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task_id}.',
+                'document_id': new_doc.id,
+                'document_version_id': new_doc_vers.id,
+                'task_id': task_id
+            }, 201
+
+        except (EveAIInvalidLanguageException, EveAIUnsupportedFileType) as e:
+            current_app.logger.error(f'Error adding document: {str(e)}')
+            document_ns.abort(400, str(e))
+        except Exception as e:
+            current_app.logger.error(f'Error adding document: {str(e)}')
+            document_ns.abort(500, 'Error adding document')
+
+
+# Models for AddURL
+add_url_model = document_ns.model('AddURL', {
+    'url': fields.String(required=True, description='URL of the document to add'),
+    'name': fields.String(required=False, description='Name of the document'),
+    'language': fields.String(required=True, description='Language of the document'),
+    'user_context': fields.String(required=False, description='User context for the document'),
+    'valid_from': fields.String(required=False, description='Valid from date for the document'),
+    'user_metadata': fields.String(required=False, description='User metadata for the document'),
+    'system_metadata': fields.String(required=False, description='System metadata for the document')
+})
+
+add_url_response = document_ns.model('AddURLResponse', {
+    'message': fields.String(description='Status message'),
+    'document_id': fields.Integer(description='ID of the created document'),
+    'document_version_id': fields.Integer(description='ID of the created document version'),
+    'task_id': fields.String(description='ID of the embedding task')
+})
+
+
+@document_ns.route('/add_url')
+class AddURL(Resource):
+    @jwt_required()
+    @document_ns.expect(add_url_model)
+    @document_ns.response(201, 'Document added successfully', add_url_response)
+    @document_ns.response(400, 'Validation Error')
+    @document_ns.response(500, 'Internal Server Error')
+    def post(self):
+        """
+        Add a new document from URL
+        """
+        tenant_id = get_jwt_identity()
+        current_app.logger.info(f'Adding document from URL for tenant {tenant_id}')
+
+        try:
+            args = document_ns.payload
+            file_content, filename, extension = process_url(args['url'], tenant_id)
+
+            api_input = {
+                'url': args['url'],
+                'name': args.get('name') or filename,
+                'language': args['language'],
+                'user_context': args.get('user_context'),
+                'valid_from': args.get('valid_from'),
+                'user_metadata': args.get('user_metadata'),
+            }
+
+            new_doc, new_doc_vers = create_document_stack(api_input, file_content, filename, extension, tenant_id)
+            task_id = start_embedding_task(tenant_id, new_doc_vers.id)
+
+            return {
+                'message': f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task_id}.',
+                'document_id': new_doc.id,
+                'document_version_id': new_doc_vers.id,
+                'task_id': task_id
+            }, 201
+
+        except EveAIDoubleURLException:
+            document_ns.abort(400, f'A document with URL {args["url"]} already exists.')
+        except (EveAIInvalidLanguageException, EveAIUnsupportedFileType) as e:
+            document_ns.abort(400, str(e))
+        except Exception as e:
+            current_app.logger.error(f'Error adding document from URL: {str(e)}')
+            document_ns.abort(500, 'Error adding document from URL')
+
+
+document_list_model = document_ns.model('DocumentList', {
+    'id': fields.Integer(description='Document ID'),
+    'name': fields.String(description='Document name'),
+    'valid_from': fields.DateTime(description='Valid from date'),
+    'valid_to': fields.DateTime(description='Valid to date'),
+})
+
+
+@document_ns.route('/list')
+class DocumentList(Resource):
+    @jwt_required()
+    @document_ns.doc('list_documents')
+    @document_ns.marshal_list_with(document_list_model, envelope='documents')
+    def get(self):
+        """List all documents"""
+        page = request.args.get('page', 1, type=int)
+        per_page = request.args.get('per_page', 10, type=int)
+        pagination = get_documents_list(page, per_page)
+        return pagination.items, 200
+
+
+edit_document_model = document_ns.model('EditDocument', {
+    'name': fields.String(required=True, description='New name for the document'),
+    'valid_from': fields.DateTime(required=False, description='New valid from date'),
+    'valid_to': fields.DateTime(required=False, description='New valid to date'),
+})
+
+
+@document_ns.route('/<int:document_id>')
+class DocumentResource(Resource):
+    @jwt_required()
+    @document_ns.doc('edit_document')
+    @document_ns.expect(edit_document_model)
+    @document_ns.response(200, 'Document updated successfully')
+    def put(self, document_id):
+        """Edit a document"""
+        data = request.json
+        updated_doc, error = edit_document(document_id, data['name'], data.get('valid_from'), data.get('valid_to'))
+        if updated_doc:
+            return {'message': f'Document {updated_doc.id} updated successfully'}, 200
+        else:
+            return {'message': f'Error updating document: {error}'}, 400
+
+    @jwt_required()
+    @document_ns.doc('refresh_document')
+    @document_ns.response(200, 'Document refreshed successfully')
+    def post(self, document_id):
+        """Refresh a document"""
+        new_version, result = refresh_document(document_id)
+        if new_version:
+            return {'message': f'Document refreshed. New version: {new_version.id}. Task ID: {result}'}, 200
+        else:
+            return {'message': f'Error refreshing document: {result}'}, 400
+
+
+edit_document_version_model = document_ns.model('EditDocumentVersion', {
+    'user_context': fields.String(required=True, description='New user context for the document version'),
+})
+
+
+@document_ns.route('/version/<int:version_id>')
+class DocumentVersionResource(Resource):
+    @jwt_required()
+    @document_ns.doc('edit_document_version')
+    @document_ns.expect(edit_document_version_model)
+    @document_ns.response(200, 'Document version updated successfully')
+    def put(self, version_id):
+        """Edit a document version"""
+        data = request.json
+        updated_version, error = edit_document_version(version_id, data['user_context'])
+        if updated_version:
+            return {'message': f'Document Version {updated_version.id} updated successfully'}, 200
+        else:
+            return {'message': f'Error updating document version: {error}'}, 400
+
+
+# Define the model for the request body of refresh_with_info
+refresh_document_model = document_ns.model('RefreshDocument', {
+    'name': fields.String(required=False, description='New name for the document'),
+    'language': fields.String(required=False, description='Language of the document'),
+    'user_context': fields.String(required=False, description='User context for the document'),
+    'user_metadata': fields.Raw(required=False, description='User metadata for the document')
+})
+
+
+@document_ns.route('/<int:document_id>/refresh')
+class RefreshDocument(Resource):
+    @jwt_required()
+    @document_ns.response(200, 'Document refreshed successfully')
+    @document_ns.response(404, 'Document not found')
+    def post(self, document_id):
+        """
+        Refresh a document without additional information
+        """
+        tenant_id = get_jwt_identity()
+        current_app.logger.info(f'Refreshing document {document_id} for tenant {tenant_id}')
+
+        try:
+            new_version, result = refresh_document(document_id)
+
+            if new_version:
+                return {
+                    'message': f'Document refreshed successfully. New version: {new_version.id}. Task ID: {result}',
+                    'document_id': document_id,
+                    'document_version_id': new_version.id,
+                    'task_id': result
+                }, 200
+            else:
+                return {'message': f'Error refreshing document: {result}'}, 400
+
+        except Exception as e:
+            current_app.logger.error(f'Error refreshing document: {str(e)}')
+            return {'message': 'Internal server error'}, 500
+
+
+@document_ns.route('/<int:document_id>/refresh_with_info')
+class RefreshDocumentWithInfo(Resource):
+    @jwt_required()
+    @document_ns.expect(refresh_document_model)
+    @document_ns.response(200, 'Document refreshed successfully')
+    @document_ns.response(400, 'Validation Error')
+    @document_ns.response(404, 'Document not found')
+    def post(self, document_id):
+        """
+        Refresh a document with new information
+        """
+        tenant_id = get_jwt_identity()
+        current_app.logger.info(f'Refreshing document {document_id} with info for tenant {tenant_id}')
+
+        try:
+            api_input = request.json
+            new_version, result = refresh_document_with_info(document_id, api_input)
+
+            if new_version:
+                return {
+                    'message': f'Document refreshed successfully with new info. New version: {new_version.id}. Task ID: {result}',
+                    'document_id': document_id,
+                    'document_version_id': new_version.id,
+                    'task_id': result
+                }, 200
+            else:
+                return {'message': f'Error refreshing document with info: {result}'}, 400
+
+        except Exception as e:
+            current_app.logger.error(f'Error refreshing document with info: {str(e)}')
+            return {'message': 'Internal server error'}, 500

eveai_api/auth.py

@@ -1,7 +0,0 @@
-from flask import request
-from flask.views import MethodView
-
-class RegisterAPI(MethodView):
-    def post(self):
-        username = request.json['username']
-

eveai_api/views/healthz_views.py

@@ -0,0 +1,82 @@
+from flask import Blueprint, current_app, request
+from flask_healthz import HealthError
+from sqlalchemy.exc import SQLAlchemyError
+from celery.exceptions import TimeoutError as CeleryTimeoutError
+from prometheus_client import Counter, Histogram, generate_latest, CONTENT_TYPE_LATEST
+from common.extensions import db, metrics, minio_client
+from common.utils.celery_utils import current_celery
+
+healthz_bp = Blueprint('healthz', __name__, url_prefix='/_healthz')
+
+# Define Prometheus metrics
+api_request_counter = Counter('api_request_count', 'API Request Count', ['method', 'endpoint'])
+api_request_latency = Histogram('api_request_latency_seconds', 'API Request latency')
+
+
+def liveness():
+    try:
+        # Basic check to see if the app is running
+        return True
+    except Exception:
+        raise HealthError("Liveness check failed")
+
+
+def readiness():
+    checks = {
+        "database": check_database(),
+        # "celery": check_celery(),
+        "minio": check_minio(),
+        # Add more checks as needed
+    }
+
+    if not all(checks.values()):
+        raise HealthError("Readiness check failed")
+
+
+def check_database():
+    try:
+        # Perform a simple database query
+        db.session.execute("SELECT 1")
+        return True
+    except SQLAlchemyError:
+        current_app.logger.error("Database check failed", exc_info=True)
+        return False
+
+
+def check_celery():
+    try:
+        # Send a simple task to Celery
+        result = current_celery.send_task('tasks.ping', queue='embeddings')
+        response = result.get(timeout=10)  # Wait for up to 10 seconds for a response
+        return response == 'pong'
+    except CeleryTimeoutError:
+        current_app.logger.error("Celery check timed out", exc_info=True)
+        return False
+    except Exception as e:
+        current_app.logger.error(f"Celery check failed: {str(e)}", exc_info=True)
+        return False
+
+
+def check_minio():
+    try:
+        # List buckets to check if MinIO is accessible
+        minio_client.list_buckets()
+        return True
+    except Exception as e:
+        current_app.logger.error(f"MinIO check failed: {str(e)}", exc_info=True)
+        return False
+
+
+@healthz_bp.route('/metrics')
+@metrics.do_not_track()
+def prometheus_metrics():
+    return generate_latest(), 200, {'Content-Type': CONTENT_TYPE_LATEST}
+
+
+def init_healtz(app):
+    app.config.update(
+        HEALTHZ={
+            "live": "healthz_views.liveness",
+            "ready": "healthz_views.readiness",
+        }
+    )

eveai_app/__init__.py

@@ -7,9 +7,11 @@ from werkzeug.middleware.proxy_fix import ProxyFix
 import logging.config
 
 from common.extensions import (db, migrate, bootstrap, security, mail, login_manager, cors, csrf, session,
-                               minio_client, simple_encryption)
+                               minio_client, simple_encryption, metrics)
 from common.models.user import User, Role, Tenant, TenantDomain
 import common.models.interaction
+import common.models.monitoring
+import common.models.document
 from common.utils.nginx_utils import prefixed_url_for
 from config.logging_config import LOGGING
 from common.utils.security import set_tenant_session_data
@@ -27,7 +29,6 @@ def create_app(config_file=None):
     app.wsgi_app = ProxyFix(app.wsgi_app, x_for=1, x_proto=1, x_host=1, x_port=1)
 
     environment = os.getenv('FLASK_ENV', 'development')
-    print(environment)
 
     match environment:
         case 'development':
@@ -49,8 +50,6 @@ def create_app(config_file=None):
     logger = logging.getLogger(__name__)
 
     logger.info("eveai_app starting up")
-    logger.debug("start config")
-    logger.debug(app.config)
 
     # Register extensions
 
@@ -95,14 +94,11 @@ def create_app(config_file=None):
         }
         return jsonify(response), 500
 
-    @app.before_request
-    def before_request():
-        # app.logger.debug(f"Before request - Session ID: {session.sid}")
-        app.logger.debug(f"Before request - Session data: {session}")
-        app.logger.debug(f"Before request - Request headers: {request.headers}")
-
-    # Register API
-    register_api(app)
+    # @app.before_request
+    # def before_request():
+    #     # app.logger.debug(f"Before request - Session ID: {session.sid}")
+    #     app.logger.debug(f"Before request - Session data: {session}")
+    #     app.logger.debug(f"Before request - Request headers: {request.headers}")
 
     # Register template filters
     register_filters(app)
@@ -120,10 +116,10 @@ def register_extensions(app):
     csrf.init_app(app)
     login_manager.init_app(app)
     cors.init_app(app)
-    # kms_client.init_app(app)
     simple_encryption.init_app(app)
     session.init_app(app)
     minio_client.init_app(app)
+    metrics.init_app(app)
 
 
 # Register Blueprints
@@ -138,9 +134,7 @@ def register_blueprints(app):
     app.register_blueprint(security_bp)
     from .views.interaction_views import interaction_bp
     app.register_blueprint(interaction_bp)
+    from .views.healthz_views import healthz_bp, init_healtz
+    app.register_blueprint(healthz_bp)
+    init_healtz(app)
 
-
-def register_api(app):
-    pass
-    # from . import api
-    # app.register_blueprint(api.bp, url_prefix='/api')

eveai_app/templates/document/add_youtube.html

@@ -1,24 +0,0 @@
-{% extends 'base.html' %}
-{% from "macros.html" import render_field %}
-
-{% block title %}Add Youtube Document{% endblock %}
-
-{% block content_title %}Add Youtube Document{% endblock %}
-{% block content_description %}Add a youtube url and the corresponding document to EveAI. In some cases, url's cannot be loaded directly. Download the html and add it as a document in that case.{% endblock %}
-
-{% block content %}
-    <form method="post">
-        {{ form.hidden_tag() }}
-        {%  set disabled_fields = [] %}
-        {%  set exclude_fields = [] %}
-        {% for field in form %}
-            {{ render_field(field, disabled_fields, exclude_fields) }}
-        {% endfor %}
-        <button type="submit" class="btn btn-primary">Add Youtube Document</button>
-    </form>
-{% endblock %}
-
-
-{% block content_footer %}
-
-{% endblock %}

eveai_app/templates/document/edit_document_version.html

@@ -8,7 +8,7 @@
 {% block content %}
     <form method="post">
         {{ form.hidden_tag() }}
-        {%  set disabled_fields = ['language', 'system_context'] %}
+        {%  set disabled_fields = ['language', 'system_context', 'system_metadata'] %}
         {%  set exclude_fields = [] %}
         {% for field in form %}
             {{ render_field(field, disabled_fields, exclude_fields) }}

eveai_app/templates/interaction/view_chat_session.html

@@ -1,126 +1,80 @@
 {% extends "base.html" %}
+{% from "macros.html" import render_field %}
+
+{% block title %}Session Overview{% endblock %}
+
+{% block content_title %}Session Overview{% endblock %}
+{% block content_description %}An overview of the chat session.{% endblock %}
 
 {% block content %}
 <div class="container mt-5">
     <h2>Chat Session Details</h2>
-    <!-- Session Information -->
     <div class="card mb-4">
         <div class="card-header">
             <h5>Session Information</h5>
-            <!-- Timezone Toggle Buttons -->
-            <div class="btn-group" role="group">
-                <button type="button" class="btn btn-primary" id="toggle-interaction-timezone">Interaction Timezone</button>
-                <button type="button" class="btn btn-secondary" id="toggle-admin-timezone">Admin Timezone</button>
-            </div>
         </div>
         <div class="card-body">
-            <dl class="row">
-                <dt class="col-sm-3">Session ID:</dt>
-                <dd class="col-sm-9">{{ chat_session.session_id }}</dd>
-
-                <dt class="col-sm-3">Session Start:</dt>
-                <dd class="col-sm-9">
-                    <span class="timezone interaction-timezone">{{ chat_session.session_start | to_local_time(chat_session.timezone) }}</span>
-                    <span class="timezone admin-timezone d-none">{{ chat_session.session_start | to_local_time(session['admin_user_timezone']) }}</span>
-                </dd>
-
-                <dt class="col-sm-3">Session End:</dt>
-                <dd class="col-sm-9">
-                    {% if chat_session.session_end %}
-                        <span class="timezone interaction-timezone">{{ chat_session.session_end | to_local_time(chat_session.timezone) }}</span>
-                        <span class="timezone admin-timezone d-none">{{ chat_session.session_end | to_local_time(session['admin_user_timezone']) }}</span>
-                    {% else %}
-                        Ongoing
-                    {% endif %}
-                </dd>
-            </dl>
+            <p><strong>Session ID:</strong> {{ chat_session.session_id }}</p>
+            <p><strong>User:</strong> {{ chat_session.user.user_name if chat_session.user else 'Anonymous' }}</p>
+            <p><strong>Start:</strong> {{ chat_session.session_start | to_local_time(chat_session.timezone) }}</p>
+            <p><strong>End:</strong> {{ chat_session.session_end | to_local_time(chat_session.timezone) if chat_session.session_end else 'Ongoing' }}</p>
         </div>
     </div>
 
-    <!-- Interactions List -->
-    <div class="card mb-4">
-        <div class="card-header">
-            <h5>Interactions</h5>
-        </div>
-        <div class="card-body">
-            {% for interaction in interactions %}
-                <div class="interaction mb-3">
-                    <div class="card">
-                        <div class="card-header d-flex justify-content-between">
-                            <span>Question:</span>
-                            <span class="text-muted">
-                                <span class="timezone interaction-timezone">{{ interaction.question_at | to_local_time(interaction.timezone) }}</span>
-                                <span class="timezone admin-timezone d-none">{{ interaction.question_at | to_local_time(session['admin_user_timezone']) }}</span>
-                                -
-                                <span class="timezone interaction-timezone">{{ interaction.answer_at | to_local_time(interaction.timezone) }}</span>
-                                <span class="timezone admin-timezone d-none">{{ interaction.answer_at | to_local_time(session['admin_user_timezone']) }}</span>
-                                ({{ interaction.question_at | time_difference(interaction.answer_at) }})
-                            </span>
-                        </div>
-                        <div class="card-body">
-                            <p><strong>Question:</strong> {{ interaction.question }}</p>
-                            <p><strong>Answer:</strong> {{ interaction.answer }}</p>
-                            <p>
-                                <strong>Algorithm Used:</strong>
-                                <i class="material-icons {{ 'fingerprint-rag-' ~ interaction.algorithm_used.lower() }}">
-                                    fingerprint
-                                </i> {{ interaction.algorithm_used }}
-                            </p>
-                            <p>
-                                <strong>Appreciation:</strong>
-                                <i class="material-icons thumb-icon {{ 'thumb_up' if interaction.appreciation == 1 else 'thumb_down' }}">
-                                    {{ 'thumb_up' if interaction.appreciation == 1 else 'thumb_down' }}
-                                </i>
-                            </p>
-                            <p><strong>Embeddings:</strong>
-                                {% if interaction.embeddings %}
-                                    {% for embedding in interaction.embeddings %}
-                                        <a href="{{ url_for('interaction_bp.view_embedding', embedding_id=embedding.embedding_id) }}" class="badge badge-info">
-                                            {{ embedding.embedding_id }}
-                                        </a>
-                                    {% endfor %}
-                                {% else %}
-                                    None
-                                {% endif %}
-                            </p>
-                        </div>
+    <h3>Interactions</h3>
+    <div class="accordion" id="interactionsAccordion">
+        {% for interaction in interactions %}
+        <div class="accordion-item">
+            <h2 class="accordion-header" id="heading{{ loop.index }}">
+                <button class="accordion-button collapsed" type="button" data-bs-toggle="collapse"
+                        data-bs-target="#collapse{{ loop.index }}" aria-expanded="false"
+                        aria-controls="collapse{{ loop.index }}">
+                    <div class="d-flex justify-content-between align-items-center w-100">
+                        <span class="interaction-question">{{ interaction.question | truncate(50) }}</span>
+                        <span class="interaction-icons">
+                            <i class="material-icons algorithm-icon {{ interaction.algorithm_used | lower }}">fingerprint</i>
+                            <i class="material-icons thumb-icon {% if interaction.appreciation == 100 %}filled{% else %}outlined{% endif %}">thumb_up</i>
+                            <i class="material-icons thumb-icon {% if interaction.appreciation == 0 %}filled{% else %}outlined{% endif %}">thumb_down</i>
+                        </span>
                     </div>
+                </button>
+            </h2>
+            <div id="collapse{{ loop.index }}" class="accordion-collapse collapse" aria-labelledby="heading{{ loop.index }}"
+                 data-bs-parent="#interactionsAccordion">
+                <div class="accordion-body">
+                    <h6>Detailed Question:</h6>
+                    <p>{{ interaction.detailed_question }}</p>
+                    <h6>Answer:</h6>
+                    <div class="markdown-content">{{ interaction.answer | safe }}</div>
+                    {% if embeddings_dict.get(interaction.id) %}
+                    <h6>Related Documents:</h6>
+                    <ul>
+                        {% for embedding in embeddings_dict[interaction.id] %}
+                        <li>
+                            {% if embedding.url %}
+                            <a href="{{ embedding.url }}" target="_blank">{{ embedding.url }}</a>
+                            {% else %}
+                            {{ embedding.file_name }}
+                            {% endif %}
+                        </li>
+                        {% endfor %}
+                    </ul>
+                    {% endif %}
                 </div>
-            {% endfor %}
+            </div>
         </div>
+        {% endfor %}
     </div>
 </div>
 {% endblock %}
 
 {% block scripts %}
+<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
 <script>
     document.addEventListener('DOMContentLoaded', function() {
-        // Elements to toggle
-        const interactionTimes = document.querySelectorAll('.interaction-timezone');
-        const adminTimes = document.querySelectorAll('.admin-timezone');
-
-        // Buttons
-        const interactionButton = document.getElementById('toggle-interaction-timezone');
-        const adminButton = document.getElementById('toggle-admin-timezone');
-
-        // Toggle to Interaction Timezone
-        interactionButton.addEventListener('click', function() {
-            interactionTimes.forEach(el => el.classList.remove('d-none'));
-            adminTimes.forEach(el => el.classList.add('d-none'));
-            interactionButton.classList.add('btn-primary');
-            interactionButton.classList.remove('btn-secondary');
-            adminButton.classList.add('btn-secondary');
-            adminButton.classList.remove('btn-primary');
-        });
-
-        // Toggle to Admin Timezone
-        adminButton.addEventListener('click', function() {
-            interactionTimes.forEach(el => el.classList.add('d-none'));
-            adminTimes.forEach(el => el.classList.remove('d-none'));
-            interactionButton.classList.add('btn-secondary');
-            interactionButton.classList.remove('btn-primary');
-            adminButton.classList.add('btn-primary');
-            adminButton.classList.remove('btn-secondary');
+        var markdownElements = document.querySelectorAll('.markdown-content');
+        markdownElements.forEach(function(el) {
+            el.innerHTML = marked.parse(el.textContent);
         });
     });
 </script>

eveai_app/templates/macros.html

@@ -1,16 +1,16 @@
-{% macro render_field(field, disabled_fields=[], exclude_fields=[]) %}
+{% macro render_field(field, disabled_fields=[], exclude_fields=[], class='') %}
     {% set disabled = field.name in disabled_fields %}
     {% set exclude_fields = exclude_fields + ['csrf_token', 'submit'] %}
     {% if field.name not in exclude_fields %}
         {% if field.type == 'BooleanField' %}
             <div class="form-check">
-                {{ field(class="form-check-input", type="checkbox", id="flexSwitchCheckDefault") }}
+                {{ field(class="form-check-input " + class, type="checkbox", id="flexSwitchCheckDefault") }}
                 {{ field.label(class="form-check-label", for="flexSwitchCheckDefault", disabled=disabled) }}
             </div>
         {% else %}
             <div class="form-group">
                 {{ field.label(class="form-label") }}
-                {{ field(class="form-control", disabled=disabled) }}
+                {{ field(class="form-control " + class, disabled=disabled) }}
                 {% if field.errors %}
                     <div class="invalid-feedback">
                         {% for error in field.errors %}

eveai_app/templates/navbar.html

@@ -84,7 +84,6 @@
                                     {'name': 'Add Document', 'url': '/document/add_document', 'roles': ['Super User', 'Tenant Admin']},
                                     {'name': 'Add URL', 'url': '/document/add_url', 'roles': ['Super User', 'Tenant Admin']},
                                     {'name': 'Add a list of URLs', 'url': '/document/add_urls', 'roles': ['Super User', 'Tenant Admin']},
-                                    {'name': 'Add Youtube Document' , 'url': '/document/add_youtube', 'roles': ['Super User', 'Tenant Admin']},
                                     {'name': 'All Documents', 'url': '/document/documents', 'roles': ['Super User', 'Tenant Admin']},
                                     {'name': 'All Document Versions', 'url': '/document/document_versions_list', 'roles': ['Super User', 'Tenant Admin']},
                                     {'name': 'Library Operations', 'url': '/document/library_operations', 'roles': ['Super User', 'Tenant Admin']},

eveai_app/templates/scripts.html

@@ -13,3 +13,5 @@
         <script src="{{url_for('static', filename='assets/js/plugins/anime.min.js')}}"></script>
         <script src="{{url_for('static', filename='assets/js/material-kit-pro.min.js')}}?v=3.0.4 type="text/javascript"></script>
         <script src="https://cdnjs.cloudflare.com/ajax/libs/bootstrap/5.3.3/js/bootstrap.bundle.min.js"></script>
+        <script src="https://cdnjs.cloudflare.com/ajax/libs/select2/4.0.13/js/select2.min.js"></script>
+

eveai_app/templates/user/select_tenant.html

@@ -1,22 +1,52 @@
 {% extends 'base.html' %}
-{% from "macros.html" import render_selectable_table, render_pagination %}
-
+{% from "macros.html" import render_selectable_table, render_pagination, render_field %}
 {% block title %}Tenant Selection{% endblock %}
-
 {% block content_title %}Select a Tenant{% endblock %}
 {% block content_description %}Select the active tenant for the current session{% endblock %}
-
 {% block content %}
+
+<!-- Filter Form -->
+<form method="POST" action="{{ url_for('user_bp.select_tenant') }}" class="mb-4">
+    {{ filter_form.hidden_tag() }}
+    <div class="row">
+        <div class="col-md-4">
+            {{ render_field(filter_form.types, class="select2") }}
+        </div>
+        <div class="col-md-4">
+            {{ render_field(filter_form.search) }}
+        </div>
+        <div class="col-md-4">
+            {{ filter_form.submit(class="btn btn-primary") }}
+        </div>
+    </div>
+</form>
+
+<!-- Tenant Selection Form -->
 <form method="POST" action="{{ url_for('user_bp.handle_tenant_selection') }}">
-    {{ render_selectable_table(headers=["Tenant ID", "Tenant Name", "Website"], rows=rows, selectable=True, id="tenantsTable") }}
+    {{ render_selectable_table(headers=["Tenant ID", "Tenant Name", "Website", "Type"], rows=rows, selectable=True, id="tenantsTable") }}
     <div class="form-group mt-3">
         <button type="submit" name="action" value="select_tenant" class="btn btn-primary">Set Session Tenant</button>
         <button type="submit" name="action" value="edit_tenant" class="btn btn-secondary">Edit Tenant</button>
     </div>
 </form>
+
 {% endblock %}
 
 {% block content_footer %}
-    {{ render_pagination(pagination, 'user_bp.select_tenant') }}
+{{ render_pagination(pagination, 'user_bp.select_tenant') }}
+{% endblock %}
+
+{% block scripts %}
+<script>
+$(document).ready(function() {
+    $('.select2').select2({
+        placeholder: "Select tenant types",
+        allowClear: true,
+        minimumResultsForSearch: Infinity, // Hides the search box
+        dropdownCssClass: 'select2-dropdown-hidden', // Custom class for dropdown
+        containerCssClass: 'select2-container-hidden' // Custom class for container
+    });
+});
+</script>
 {% endblock %}
 

eveai_app/templates/user/tenant_overview.html

@@ -10,7 +10,7 @@
     <form method="post">
         {{ form.hidden_tag() }}
         <!-- Main Tenant Information -->
-        {% set main_fields = ['name', 'website', 'default_language', 'allowed_languages'] %}
+        {% set main_fields = ['name', 'website', 'default_language', 'allowed_languages', 'rag_context', 'type'] %}
         {% for field in form %}
             {{ render_included_field(field, disabled_fields=main_fields, include_fields=main_fields) }}
         {% endfor %}
@@ -62,18 +62,25 @@
                             {{ render_included_field(field, disabled_fields=license_fields, include_fields=license_fields) }}
                         {% endfor %}
                         <!-- Register API Key Button -->
+                        <button type="button" class="btn btn-primary" onclick="generateNewChatApiKey()">Register Chat API Key</button>
                         <button type="button" class="btn btn-primary" onclick="generateNewApiKey()">Register API Key</button>
                         <!-- API Key Display Field -->
+                        <div id="chat-api-key-field" style="display:none;">
+                            <label for="chat-api-key">Chat API Key:</label>
+                            <input type="text" id="chat-api-key" class="form-control" readonly>
+                            <button type="button" id="copy-chat-button" class="btn btn-primary">Copy to Clipboard</button>
+                            <p id="copy-chat-message" style="display:none;color:green;">Chat API key copied to clipboard</p>
+                        </div>
                         <div id="api-key-field" style="display:none;">
                             <label for="api-key">API Key:</label>
                             <input type="text" id="api-key" class="form-control" readonly>
-                            <button type="button" id="copy-button" class="btn btn-primary">Copy to Clipboard</button>
+                            <button type="button" id="copy-api-button" class="btn btn-primary">Copy to Clipboard</button>
                             <p id="copy-message" style="display:none;color:green;">API key copied to clipboard</p>
                         </div>
                     </div>
                     <!-- Chunking Settings Tab -->
                     <div class="tab-pane fade" id="chunking-tab" role="tabpanel">
-                        {% set html_fields = ['html_tags', 'html_end_tags', 'html_included_elements', 'html_excluded_elements', 'min_chunk_size', 'max_chunk_size'] %}
+                        {% set html_fields = ['html_tags', 'html_end_tags', 'html_included_elements', 'html_excluded_elements', 'html_excluded_classes', 'min_chunk_size', 'max_chunk_size'] %}
                         {% for field in form %}
                             {{ render_included_field(field, disabled_fields=html_fields, include_fields=html_fields) }}
                         {% endfor %}
@@ -105,14 +112,25 @@
 
 {% block scripts %}
 <script>
+    // Function to generate a new Chat API Key
+    function generateNewChatApiKey() {
+        generateApiKey('/admin/user/generate_chat_api_key', '#chat-api-key', '#chat-api-key-field');
+    }
+
+    // Function to generate a new general API Key
     function generateNewApiKey() {
+        generateApiKey('/admin/user/generate_api_api_key', '#api-key', '#api-key-field');
+    }
+
+    // Reusable function to handle API key generation
+    function generateApiKey(url, inputSelector, fieldSelector) {
         $.ajax({
-            url: '/user/generate_chat_api_key',
+            url: url,
             type: 'POST',
             contentType: 'application/json',
             success: function(response) {
-                $('#api-key').val(response.api_key);
-                $('#api-key-field').show();
+                $(inputSelector).val(response.api_key);
+                $(fieldSelector).show();
             },
             error: function(error) {
                 alert('Error generating new API key: ' + error.responseText);
@@ -120,25 +138,27 @@
         });
     }
 
-    function copyToClipboard(selector) {
+    // Function to copy text to clipboard
+    function copyToClipboard(selector, messageSelector) {
         const element = document.querySelector(selector);
         if (element) {
             const text = element.value;
             if (navigator.clipboard && navigator.clipboard.writeText) {
                 navigator.clipboard.writeText(text).then(function() {
-                    showCopyMessage();
+                    showCopyMessage(messageSelector);
                 }).catch(function(error) {
                     alert('Failed to copy text: ' + error);
                 });
             } else {
-                fallbackCopyToClipboard(text);
+                fallbackCopyToClipboard(text, messageSelector);
             }
         } else {
             console.error('Element not found for selector:', selector);
         }
     }
 
-    function fallbackCopyToClipboard(text) {
+    // Fallback method for copying text to clipboard
+    function fallbackCopyToClipboard(text, messageSelector) {
         const textArea = document.createElement('textarea');
         textArea.value = text;
         document.body.appendChild(textArea);
@@ -146,15 +166,16 @@
         textArea.select();
         try {
             document.execCommand('copy');
-            showCopyMessage();
+            showCopyMessage(messageSelector);
         } catch (err) {
             alert('Fallback: Oops, unable to copy', err);
         }
         document.body.removeChild(textArea);
     }
 
-    function showCopyMessage() {
-        const message = document.getElementById('copy-message');
+    // Function to show copy confirmation message
+    function showCopyMessage(messageSelector) {
+        const message = document.querySelector(messageSelector);
         if (message) {
             message.style.display = 'block';
             setTimeout(function() {
@@ -163,8 +184,13 @@
         }
     }
 
-    document.getElementById('copy-button').addEventListener('click', function() {
-        copyToClipboard('#api-key');
+    // Event listeners for copy buttons
+    document.getElementById('copy-chat-button').addEventListener('click', function() {
+        copyToClipboard('#chat-api-key', '#copy-chat-message');
+    });
+
+    document.getElementById('copy-api-button').addEventListener('click', function() {
+        copyToClipboard('#api-key', '#copy-message');
     });
 </script>
 <script>

eveai_app/views/document_forms.py

@@ -1,18 +1,35 @@
-from flask import session
+from flask import session, current_app
 from flask_wtf import FlaskForm
 from wtforms import (StringField, BooleanField, SubmitField, DateField,
                      SelectField, FieldList, FormField, TextAreaField, URLField)
-from wtforms.validators import DataRequired, Length, Optional, URL
+from wtforms.validators import DataRequired, Length, Optional, URL, ValidationError
 from flask_wtf.file import FileField, FileAllowed, FileRequired
+import json
+
+
+def allowed_file(form, field):
+    if field.data:
+        filename = field.data.filename
+        allowed_extensions = current_app.config.get('SUPPORTED_FILE_TYPES', [])
+        if not ('.' in filename and filename.rsplit('.', 1)[1].lower() in allowed_extensions):
+            raise ValidationError('Unsupported file type.')
+
+
+def validate_json(form, field):
+    if field.data:
+        try:
+            json.loads(field.data)
+        except json.JSONDecodeError:
+            raise ValidationError('Invalid JSON format')
 
 
 class AddDocumentForm(FlaskForm):
-    file = FileField('File', validators=[FileAllowed(['pdf', 'txt', 'html']),
-                                         FileRequired()])
+    file = FileField('File', validators=[FileRequired(), allowed_file])
     name = StringField('Name', validators=[Length(max=100)])
     language = SelectField('Language', choices=[], validators=[Optional()])
     user_context = TextAreaField('User Context', validators=[Optional()])
     valid_from = DateField('Valid from', id='form-control datepicker', validators=[Optional()])
+    user_metadata = TextAreaField('User Metadata', validators=[Optional(), validate_json])
 
     submit = SubmitField('Submit')
 
@@ -20,6 +37,8 @@ class AddDocumentForm(FlaskForm):
         super().__init__()
         self.language.choices = [(language, language) for language in
                                  session.get('tenant').get('allowed_languages')]
+        if not self.language.data:
+            self.language.data = session.get('tenant').get('default_language')
 
 
 class AddURLForm(FlaskForm):
@@ -28,6 +47,7 @@ class AddURLForm(FlaskForm):
     language = SelectField('Language', choices=[], validators=[Optional()])
     user_context = TextAreaField('User Context', validators=[Optional()])
     valid_from = DateField('Valid from', id='form-control datepicker', validators=[Optional()])
+    user_metadata = TextAreaField('User Metadata', validators=[Optional(), validate_json])
 
     submit = SubmitField('Submit')
 
@@ -35,6 +55,8 @@ class AddURLForm(FlaskForm):
         super().__init__()
         self.language.choices = [(language, language) for language in
                                  session.get('tenant').get('allowed_languages')]
+        if not self.language.data:
+            self.language.data = session.get('tenant').get('default_language')
 
 
 class AddURLsForm(FlaskForm):
@@ -50,21 +72,8 @@ class AddURLsForm(FlaskForm):
         super().__init__()
         self.language.choices = [(language, language) for language in
                                  session.get('tenant').get('allowed_languages')]
-
-
-class AddYoutubeForm(FlaskForm):
-    url = URLField('Youtube URL', validators=[DataRequired(), URL()])
-    name = StringField('Name', validators=[Length(max=100)])
-    language = SelectField('Language', choices=[], validators=[Optional()])
-    user_context = TextAreaField('User Context', validators=[Optional()])
-    valid_from = DateField('Valid from', id='form-control datepicker', validators=[Optional()])
-
-    submit = SubmitField('Submit')
-
-    def __init__(self):
-        super().__init__()
-        self.language.choices = [(language, language) for language in
-                                 session.get('tenant').get('allowed_languages')]
+        if not self.language.data:
+            self.language.data = session.get('tenant').get('default_language')
 
 
 class EditDocumentForm(FlaskForm):
@@ -79,8 +88,7 @@ class EditDocumentVersionForm(FlaskForm):
     language = StringField('Language')
     user_context = TextAreaField('User Context', validators=[Optional()])
     system_context = TextAreaField('System Context', validators=[Optional()])
+    user_metadata = TextAreaField('User Metadata', validators=[Optional(), validate_json])
+    system_metadata = TextAreaField('System Metadata', validators=[Optional(), validate_json])
 
     submit = SubmitField('Submit')
-
-
-

eveai_app/views/document_views.py

@@ -1,25 +1,25 @@
 import ast
-import os
 from datetime import datetime as dt, timezone as tz
 
-import chardet
 from flask import request, redirect, flash, render_template, Blueprint, session, current_app
 from flask_security import roles_accepted, current_user
 from sqlalchemy import desc
-from sqlalchemy.orm import joinedload
-from werkzeug.datastructures import FileStorage
 from werkzeug.utils import secure_filename
 from sqlalchemy.exc import SQLAlchemyError
 import requests
 from requests.exceptions import SSLError
-from urllib.parse import urlparse
+from urllib.parse import urlparse, unquote
 import io
-from minio.error import S3Error
+import json
 
 from common.models.document import Document, DocumentVersion
 from common.extensions import db, minio_client
-from .document_forms import AddDocumentForm, AddURLForm, EditDocumentForm, EditDocumentVersionForm, AddYoutubeForm, \
-    AddURLsForm
+from common.utils.document_utils import validate_file_type, create_document_stack, start_embedding_task, process_url, \
+    process_multiple_urls, get_documents_list, edit_document, \
+    edit_document_version, refresh_document
+from common.utils.eveai_exceptions import EveAIInvalidLanguageException, EveAIUnsupportedFileType, \
+    EveAIDoubleURLException
+from .document_forms import AddDocumentForm, AddURLForm, EditDocumentForm, EditDocumentVersionForm, AddURLsForm
 from common.utils.middleware import mw_before_request
 from common.utils.celery_utils import current_celery
 from common.utils.nginx_utils import prefixed_url_for
@@ -57,29 +57,37 @@ def before_request():
 def add_document():
     form = AddDocumentForm()
 
-    # If the form is submitted
     if form.validate_on_submit():
-        current_app.logger.info(f'Adding document for tenant {session["tenant"]["id"]}')
-        file = form.file.data
-        filename = secure_filename(file.filename)
-        extension = filename.rsplit('.', 1)[1].lower()
-        form_dict = form_to_dict(form)
+        try:
+            tenant_id = session['tenant']['id']
+            file = form.file.data
+            filename = secure_filename(file.filename)
+            extension = filename.rsplit('.', 1)[1].lower()
 
-        new_doc, new_doc_vers = create_document_stack(form_dict, file, filename, extension)
+            validate_file_type(extension)
 
-        task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
-            session['tenant']['id'],
-            new_doc_vers.id,
-        ])
-        current_app.logger.info(f'Embedding creation started for tenant {session["tenant"]["id"]}, '
-                                f'Document Version {new_doc_vers.id}. '
-                                f'Embedding creation task: {task.id}')
-        flash(f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task.id}.',
-              'success')
+            current_app.logger.debug(f'Language on form: {form.language.data}')
+            api_input = {
+                'name': form.name.data,
+                'language': form.language.data,
+                'user_context': form.user_context.data,
+                'valid_from': form.valid_from.data,
+                'user_metadata': json.loads(form.user_metadata.data) if form.user_metadata.data else None,
+            }
+            current_app.logger.debug(f'Creating document stack with input {api_input}')
 
-        return redirect(prefixed_url_for('document_bp.documents'))
-    else:
-        form_validation_failed(request, form)
+            new_doc, new_doc_vers = create_document_stack(api_input, file, filename, extension, tenant_id)
+            task_id = start_embedding_task(tenant_id, new_doc_vers.id)
+
+            flash(f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task_id}.',
+                  'success')
+            return redirect(prefixed_url_for('document_bp.documents'))
+
+        except (EveAIInvalidLanguageException, EveAIUnsupportedFileType) as e:
+            flash(str(e), 'error')
+        except Exception as e:
+            current_app.logger.error(f'Error adding document: {str(e)}')
+            flash('An error occurred while adding the document.', 'error')
 
     return render_template('document/add_document.html', form=form)
 
@@ -89,45 +97,36 @@ def add_document():
 def add_url():
     form = AddURLForm()
 
-    # If the form is submitted
     if form.validate_on_submit():
-        current_app.logger.info(f'Adding url for tenant {session["tenant"]["id"]}')
-        url = form.url.data
+        try:
+            tenant_id = session['tenant']['id']
+            url = form.url.data
 
-        doc_vers = DocumentVersion.query.filter_by(url=url).all()
-        if doc_vers:
-            current_app.logger.info(f'A document with url {url} already exists. No new document created.')
-            flash(f'A document with url {url} already exists. No new document created.', 'info')
+            file_content, filename, extension = process_url(url, tenant_id)
+
+            api_input = {
+                'name': form.name.data or filename,
+                'url': url,
+                'language': form.language.data,
+                'user_context': form.user_context.data,
+                'valid_from': form.valid_from.data,
+                'user_metadata': json.loads(form.user_metadata.data) if form.user_metadata.data else None,
+            }
+
+            new_doc, new_doc_vers = create_document_stack(api_input, file_content, filename, extension, tenant_id)
+            task_id = start_embedding_task(tenant_id, new_doc_vers.id)
+
+            flash(f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task_id}.',
+                  'success')
             return redirect(prefixed_url_for('document_bp.documents'))
-        # Only when no document with URL exists
-        html = fetch_html(url)
-        file = io.BytesIO(html)
 
-        parsed_url = urlparse(url)
-        path_parts = parsed_url.path.split('/')
-        filename = path_parts[-1]
-        if filename == '':
-            filename = 'index'
-        if not filename.endswith('.html'):
-            filename += '.html'
-        extension = 'html'
-        form_dict = form_to_dict(form)
-
-        new_doc, new_doc_vers = create_document_stack(form_dict, file, filename, extension)
-
-        task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
-            session['tenant']['id'],
-            new_doc_vers.id,
-        ])
-        current_app.logger.info(f'Embedding creation started for tenant {session["tenant"]["id"]}, '
-                                f'Document Version {new_doc_vers.id}. '
-                                f'Embedding creation task: {task.id}')
-        flash(f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task.id}.',
-              'success')
-
-        return redirect(prefixed_url_for('document_bp.documents'))
-    else:
-        form_validation_failed(request, form)
+        except EveAIDoubleURLException:
+            flash(f'A document with url {url} already exists. No new document created.', 'info')
+        except (EveAIInvalidLanguageException, EveAIUnsupportedFileType) as e:
+            flash(str(e), 'error')
+        except Exception as e:
+            current_app.logger.error(f'Error adding document: {str(e)}')
+            flash('An error occurred while adding the document.', 'error')
 
     return render_template('document/add_url.html', form=form)
 
@@ -138,100 +137,36 @@ def add_urls():
     form = AddURLsForm()
 
     if form.validate_on_submit():
-        urls = form.urls.data.split('\n')
-        urls = [url.strip() for url in urls if url.strip()]
+        try:
+            tenant_id = session['tenant']['id']
+            urls = form.urls.data.split('\n')
+            urls = [url.strip() for url in urls if url.strip()]
 
-        for i, url in enumerate(urls):
-            try:
-                doc_vers = DocumentVersion.query.filter_by(url=url).all()
-                if doc_vers:
-                    current_app.logger.info(f'A document with url {url} already exists. No new document created.')
-                    flash(f'A document with url {url} already exists. No new document created.', 'info')
-                    continue
+            api_input = {
+                'name': form.name.data,
+                'language': form.language.data,
+                'user_context': form.user_context.data,
+                'valid_from': form.valid_from.data
+            }
 
-                html = fetch_html(url)
-                file = io.BytesIO(html)
+            results = process_multiple_urls(urls, tenant_id, api_input)
 
-                parsed_url = urlparse(url)
-                path_parts = parsed_url.path.split('/')
-                filename = path_parts[-1] if path_parts[-1] else 'index'
-                if not filename.endswith('.html'):
-                    filename += '.html'
+            for result in results:
+                if result['status'] == 'success':
+                    flash(
+                        f"Processed URL: {result['url']} - Document ID: {result['document_id']}, Version ID: {result['document_version_id']}",
+                        'success')
+                else:
+                    flash(f"Error processing URL: {result['url']} - {result['message']}", 'error')
 
-                # Use the name prefix if provided, otherwise use the filename
-                doc_name = f"{form.name.data}-{filename}" if form.name.data else filename
+            return redirect(prefixed_url_for('document_bp.documents'))
 
-                new_doc, new_doc_vers = create_document_stack({
-                    'name': doc_name,
-                    'url': url,
-                    'language': form.language.data,
-                    'user_context': form.user_context.data,
-                    'valid_from': form.valid_from.data
-                }, file, filename, 'html')
-
-                task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
-                    session['tenant']['id'],
-                    new_doc_vers.id,
-                ])
-                current_app.logger.info(f'Embedding creation started for tenant {session["tenant"]["id"]}, '
-                                        f'Document Version {new_doc_vers.id}. '
-                                        f'Embedding creation task: {task.id}')
-                flash(f'Processing on document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task.id}.',
-                      'success')
-
-            except Exception as e:
-                current_app.logger.error(f"Error processing URL {url}: {str(e)}")
-                flash(f'Error processing URL {url}: {str(e)}', 'danger')
-
-        return redirect(prefixed_url_for('document_bp.documents'))
-    else:
-        form_validation_failed(request, form)
+        except Exception as e:
+            current_app.logger.error(f'Error adding multiple URLs: {str(e)}')
+            flash('An error occurred while adding the URLs.', 'error')
 
     return render_template('document/add_urls.html', form=form)
 
-@document_bp.route('/add_youtube', methods=['GET', 'POST'])
-@roles_accepted('Super User', 'Tenant Admin')
-def add_youtube():
-    form = AddYoutubeForm()
-
-    if form.validate_on_submit():
-        current_app.logger.info(f'Adding Youtube document for tenant {session["tenant"]["id"]}')
-        url = form.url.data
-        current_app.logger.debug(f'Value of language field: {form.language.data}')
-
-        doc_vers = DocumentVersion.query.filter_by(url=url).all()
-        if doc_vers:
-            current_app.logger.info(f'A document with url {url} already exists. No new document created.')
-            flash(f'A document with url {url} already exists. No new document created.', 'info')
-            return redirect(prefixed_url_for('document_bp.documents'))
-        # As downloading a Youtube document can take quite some time, we offload this downloading to the worker
-        # We just pass a simple file to get things conform
-        file = "Youtube placeholder file"
-
-        filename = 'placeholder.youtube'
-        extension = 'youtube'
-        form_dict = form_to_dict(form)
-        current_app.logger.debug(f'Form data: {form_dict}')
-
-        new_doc, new_doc_vers = create_document_stack(form_dict, file, filename, extension)
-
-        task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
-            session['tenant']['id'],
-            new_doc_vers.id,
-        ])
-        current_app.logger.info(f'Processing and Embedding on Youtube document started for tenant '
-                                f'{session["tenant"]["id"]}, '
-                                f'Document Version {new_doc_vers.id}. '
-                                f'Processing and Embedding Youtube task: {task.id}')
-        flash(f'Processing on Youtube document {new_doc.name}, version {new_doc_vers.id} started. Task ID: {task.id}.',
-              'success')
-
-        return redirect(prefixed_url_for('document_bp.documents'))
-    else:
-        form_validation_failed(request, form)
-
-    return render_template('document/add_youtube.html', form=form)
-
 
 @document_bp.route('/documents', methods=['GET', 'POST'])
 @roles_accepted('Super User', 'Tenant Admin')
@@ -239,9 +174,7 @@ def documents():
     page = request.args.get('page', 1, type=int)
     per_page = request.args.get('per_page', 10, type=int)
 
-    query = Document.query.order_by(desc(Document.created_at))
-
-    pagination = query.paginate(page=page, per_page=per_page, error_out=False)
+    pagination = get_documents_list(page, per_page)
     docs = pagination.items
 
     rows = prepare_table_for_macro(docs, [('id', ''), ('name', ''), ('valid_from', ''), ('valid_to', '')])
@@ -259,11 +192,11 @@ def handle_document_selection():
 
     match action:
         case 'edit_document':
-            return redirect(prefixed_url_for('document_bp.edit_document', document_id=doc_id))
+            return redirect(prefixed_url_for('document_bp.edit_document_view', document_id=doc_id))
         case 'document_versions':
             return redirect(prefixed_url_for('document_bp.document_versions', document_id=doc_id))
         case 'refresh_document':
-            refresh_document(doc_id)
+            refresh_document_view(doc_id)
             return redirect(prefixed_url_for('document_bp.document_versions', document_id=doc_id))
         case 're_embed_latest_versions':
             re_embed_latest_versions()
@@ -274,25 +207,22 @@ def handle_document_selection():
 
 @document_bp.route('/edit_document/<int:document_id>', methods=['GET', 'POST'])
 @roles_accepted('Super User', 'Tenant Admin')
-def edit_document(document_id):
+def edit_document_view(document_id):
     doc = Document.query.get_or_404(document_id)
     form = EditDocumentForm(obj=doc)
 
     if form.validate_on_submit():
-        doc.name = form.name.data
-        doc.valid_from = form.valid_from.data
-        doc.valid_to = form.valid_to.data
-
-        update_logging_information(doc, dt.now(tz.utc))
-
-        try:
-            db.session.add(doc)
-            db.session.commit()
-            flash(f'Document {doc.id} updated successfully', 'success')
-        except SQLAlchemyError as e:
-            db.session.rollback()
-            flash(f'Error updating document: {e}', 'danger')
-            current_app.logger.error(f'Error updating document: {e}')
+        updated_doc, error = edit_document(
+            document_id,
+            form.name.data,
+            form.valid_from.data,
+            form.valid_to.data
+        )
+        if updated_doc:
+            flash(f'Document {updated_doc.id} updated successfully', 'success')
+            return redirect(prefixed_url_for('document_bp.documents'))
+        else:
+            flash(f'Error updating document: {error}', 'danger')
     else:
         form_validation_failed(request, form)
 
@@ -301,24 +231,20 @@ def edit_document(document_id):
 
 @document_bp.route('/edit_document_version/<int:document_version_id>', methods=['GET', 'POST'])
 @roles_accepted('Super User', 'Tenant Admin')
-def edit_document_version(document_version_id):
+def edit_document_version_view(document_version_id):
     doc_vers = DocumentVersion.query.get_or_404(document_version_id)
     form = EditDocumentVersionForm(obj=doc_vers)
 
     if form.validate_on_submit():
-        doc_vers.user_context = form.user_context.data
-
-        update_logging_information(doc_vers, dt.now(tz.utc))
-
-        try:
-            db.session.add(doc_vers)
-            db.session.commit()
-            flash(f'Document Version {doc_vers.id} updated successfully', 'success')
-        except SQLAlchemyError as e:
-            db.session.rollback()
-            flash(f'Error updating document version: {e}', 'danger')
-            current_app.logger.error(f'Error updating document version {doc_vers.id} '
-                                     f'for tenant {session['tenant']['id']}: {e}')
+        updated_version, error = edit_document_version(
+            document_version_id,
+            form.user_context.data
+        )
+        if updated_version:
+            flash(f'Document Version {updated_version.id} updated successfully', 'success')
+            return redirect(prefixed_url_for('document_bp.document_versions', document_id=updated_version.doc_id))
+        else:
+            flash(f'Error updating document version: {error}', 'danger')
     else:
         form_validation_failed(request, form)
 
@@ -329,8 +255,8 @@ def edit_document_version(document_version_id):
 @document_bp.route('/document_versions/<int:document_id>', methods=['GET', 'POST'])
 @roles_accepted('Super User', 'Tenant Admin')
 def document_versions(document_id):
-    doc_vers = DocumentVersion.query.get_or_404(document_id)
-    doc_desc = f'Document {doc_vers.document.name}, Language {doc_vers.language}'
+    doc = Document.query.get_or_404(document_id)
+    doc_desc = f'Document {doc.name}'
 
     page = request.args.get('page', 1, type=int)
     per_page = request.args.get('per_page', 10, type=int)
@@ -358,9 +284,11 @@ def handle_document_version_selection():
 
     action = request.form['action']
 
+    current_app.logger.debug(f'Triggered Document Version Action: {action}')
+
     match action:
         case 'edit_document_version':
-            return redirect(prefixed_url_for('document_bp.edit_document_version', document_version_id=doc_vers_id))
+            return redirect(prefixed_url_for('document_bp.edit_document_version_view', document_version_id=doc_vers_id))
         case 'process_document_version':
             process_version(doc_vers_id)
             # Add more conditions for other actions
@@ -403,55 +331,13 @@ def refresh_all_documents():
         refresh_document(doc.id)
 
 
-def refresh_document(doc_id):
-    doc = Document.query.get_or_404(doc_id)
-    doc_vers = DocumentVersion.query.filter_by(doc_id=doc_id).order_by(desc(DocumentVersion.id)).first()
-    if not doc_vers.url:
-        current_app.logger.info(f'Document {doc_id} has no URL, skipping refresh')
-        flash(f'This document has no URL. I can only refresh documents with a URL. skipping refresh', 'alert')
-        return
-
-    new_doc_vers = create_version_for_document(doc, doc_vers.url, doc_vers.language, doc_vers.user_context)
-
-    try:
-        db.session.add(new_doc_vers)
-        db.session.commit()
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'Error refreshing document {doc_id} for tenant {session["tenant"]["id"]}: {e}')
-        flash('Error refreshing document.', 'alert')
-        db.session.rollback()
-        error = e.args
-        raise
-    except Exception as e:
-        current_app.logger.error('Unknown error')
-        raise
-
-    html = fetch_html(new_doc_vers.url)
-    file = io.BytesIO(html)
-
-    parsed_url = urlparse(new_doc_vers.url)
-    path_parts = parsed_url.path.split('/')
-    filename = path_parts[-1]
-    if filename == '':
-        filename = 'index'
-    if not filename.endswith('.html'):
-        filename += '.html'
-    extension = 'html'
-
-    current_app.logger.info(f'Document added successfully for tenant {session["tenant"]["id"]}, '
-                            f'Document Version {new_doc_vers.id}')
-
-    upload_file_for_version(new_doc_vers, file, extension)
-
-    task = current_celery.send_task('create_embeddings', queue='embeddings', args=[
-        session['tenant']['id'],
-        new_doc_vers.id,
-    ])
-    current_app.logger.info(f'Embedding creation started for tenant {session["tenant"]["id"]}, '
-                            f'Document Version {new_doc_vers.id}. '
-                            f'Embedding creation task: {task.id}')
-    flash(f'Processing on document {doc.name}, version {new_doc_vers.id} started. Task ID: {task.id}.',
-          'success')
+def refresh_document_view(document_id):
+    new_version, result = refresh_document(document_id)
+    if new_version:
+        flash(f'Document refreshed. New version: {new_version.id}. Task ID: {result}', 'success')
+    else:
+        flash(f'Error refreshing document: {result}', 'danger')
+    return redirect(prefixed_url_for('document_bp.documents'))
 
 
 def re_embed_latest_versions():
@@ -489,116 +375,11 @@ def update_logging_information(obj, timestamp):
     obj.updated_by = current_user.id
 
 
-def create_document_stack(form, file, filename, extension):
-    # Create the Document
-    new_doc = create_document(form, filename)
-
-    # Create the DocumentVersion
-    new_doc_vers = create_version_for_document(new_doc,
-                                               form.get('url', ''),
-                                               form.get('language', 'en'),
-                                               form.get('user_context', '')
-                                               )
-
-    try:
-        db.session.add(new_doc)
-        db.session.add(new_doc_vers)
-        db.session.commit()
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'Error adding document for tenant {session["tenant"]["id"]}: {e}')
-        flash('Error adding document.', 'alert')
-        db.session.rollback()
-        error = e.args
-        raise
-    except Exception as e:
-        current_app.logger.error('Unknown error')
-        raise
-
-    current_app.logger.info(f'Document added successfully for tenant {session["tenant"]["id"]}, '
-                            f'Document Version {new_doc.id}')
-
-    upload_file_for_version(new_doc_vers, file, extension)
-
-    return new_doc, new_doc_vers
-
-
 def log_session_state(session, msg=""):
     current_app.logger.debug(f"{msg} - Session dirty: {session.dirty}")
     current_app.logger.debug(f"{msg} - Session new: {session.new}")
 
 
-def create_document(form, filename):
-    new_doc = Document()
-    if form['name'] == '':
-        new_doc.name = filename.rsplit('.', 1)[0]
-    else:
-        new_doc.name = form['name']
-
-    if form['valid_from'] and form['valid_from'] != '':
-        new_doc.valid_from = form['valid_from']
-    else:
-        new_doc.valid_from = dt.now(tz.utc)
-    new_doc.tenant_id = session['tenant']['id']
-    set_logging_information(new_doc, dt.now(tz.utc))
-
-    return new_doc
-
-
-def create_version_for_document(document, url, language, user_context):
-    new_doc_vers = DocumentVersion()
-    if url != '':
-        new_doc_vers.url = url
-
-    if language == '':
-        new_doc_vers.language = session['default_language']
-    else:
-        new_doc_vers.language = language
-
-    if user_context != '':
-        new_doc_vers.user_context = user_context
-
-    new_doc_vers.document = document
-
-    set_logging_information(new_doc_vers, dt.now(tz.utc))
-
-    return new_doc_vers
-
-
-def upload_file_for_version(doc_vers, file, extension):
-    doc_vers.file_type = extension
-    doc_vers.file_name = doc_vers.calc_file_name()
-    doc_vers.file_location = doc_vers.calc_file_location()
-
-    # Normally, the tenant bucket should exist. But let's be on the safe side if a migration took place.
-    tenant_id = session['tenant']['id']
-    minio_client.create_tenant_bucket(tenant_id)
-
-    try:
-        minio_client.upload_document_file(
-            tenant_id,
-            doc_vers.doc_id,
-            doc_vers.language,
-            doc_vers.id,
-            doc_vers.file_name,
-            file
-        )
-        db.session.commit()
-        current_app.logger.info(f'Successfully saved document to MinIO for tenant {tenant_id} for '
-                                f'document version {doc_vers.id} while uploading file.')
-    except S3Error as e:
-        db.session.rollback()
-        flash('Error saving document to MinIO.', 'error')
-        current_app.logger.error(
-            f'Error saving document to MinIO for tenant {tenant_id}: {e}')
-        raise
-    except SQLAlchemyError as e:
-        db.session.rollback()
-        flash('Error saving document metadata.', 'error')
-        current_app.logger.error(
-            f'Error saving document metadata for tenant {tenant_id}: {e}')
-        raise
-
-
 def fetch_html(url):
     # Fetches HTML content from a URL
     try:

eveai_app/views/healthz_views.py

@@ -0,0 +1,100 @@
+from flask import Blueprint, current_app, request
+from flask_healthz import HealthError
+from sqlalchemy.exc import SQLAlchemyError
+from celery.exceptions import TimeoutError as CeleryTimeoutError
+from prometheus_client import Counter, Histogram, generate_latest, CONTENT_TYPE_LATEST
+import time
+
+from common.extensions import db, metrics, minio_client
+from common.utils.celery_utils import current_celery
+
+healthz_bp = Blueprint('healthz', __name__, url_prefix='/_healthz')
+
+# Define Prometheus metrics
+api_request_counter = Counter('api_request_count', 'API Request Count', ['method', 'endpoint'])
+api_request_latency = Histogram('api_request_latency_seconds', 'API Request latency')
+
+
+def liveness():
+    try:
+        # Basic check to see if the app is running
+        return True
+    except Exception:
+        raise HealthError("Liveness check failed")
+
+
+def readiness():
+    checks = {
+        "database": check_database(),
+        "celery": check_celery(),
+        "minio": check_minio(),
+        # Add more checks as needed
+    }
+
+    if not all(checks.values()):
+        raise HealthError("Readiness check failed")
+
+
+def check_database():
+    try:
+        # Perform a simple database query
+        db.session.execute("SELECT 1")
+        return True
+    except SQLAlchemyError:
+        current_app.logger.error("Database check failed", exc_info=True)
+        return False
+
+
+def check_celery():
+    try:
+        # Send a simple task to Celery
+        result = current_celery.send_task('ping', queue='embeddings')
+        response = result.get(timeout=10)  # Wait for up to 10 seconds for a response
+        return response == 'pong'
+    except CeleryTimeoutError:
+        current_app.logger.error("Celery check timed out", exc_info=True)
+        return False
+    except Exception as e:
+        current_app.logger.error(f"Celery check failed: {str(e)}", exc_info=True)
+        return False
+
+
+def check_minio():
+    try:
+        # List buckets to check if MinIO is accessible
+        minio_client.list_buckets()
+        return True
+    except Exception as e:
+        current_app.logger.error(f"MinIO check failed: {str(e)}", exc_info=True)
+        return False
+
+
+@healthz_bp.route('/metrics')
+@metrics.do_not_track()
+def prometheus_metrics():
+    return generate_latest(), 200, {'Content-Type': CONTENT_TYPE_LATEST}
+
+
+# Custom metrics example
+@healthz_bp.before_app_request
+def before_request():
+    request.start_time = time.time()
+    api_request_counter.labels(
+        method=request.method, endpoint=request.endpoint
+    ).inc()
+
+
+@healthz_bp.after_app_request
+def after_request(response):
+    request_duration = time.time() - request.start_time
+    api_request_latency.observe(request_duration)
+    return response
+
+
+def init_healtz(app):
+    app.config.update(
+        HEALTHZ={
+            "live": "healthz_views.liveness",
+            "ready": "healthz_views.readiness",
+        }
+    )

eveai_app/views/interaction_views.py

@@ -15,7 +15,8 @@ from requests.exceptions import SSLError
 from urllib.parse import urlparse
 import io
 
-from common.models.interaction import ChatSession, Interaction
+from common.models.document import Embedding, DocumentVersion
+from common.models.interaction import ChatSession, Interaction, InteractionEmbedding
 from common.extensions import db
 from .document_forms import AddDocumentForm, AddURLForm, EditDocumentForm, EditDocumentVersionForm
 from common.utils.middleware import mw_before_request
@@ -80,11 +81,34 @@ def handle_chat_session_selection():
     return redirect(prefixed_url_for('interaction_bp.chat_sessions'))
 
 
-@interaction_bp.route('/view_chat_session/<chat_session_id>', methods=['GET'])
+@interaction_bp.route('/view_chat_session/<int:chat_session_id>', methods=['GET'])
 @roles_accepted('Super User', 'Tenant Admin')
 def view_chat_session(chat_session_id):
     chat_session = ChatSession.query.get_or_404(chat_session_id)
-    show_chat_session(chat_session)
+    interactions = (Interaction.query
+                    .filter_by(chat_session_id=chat_session.id)
+                    .order_by(Interaction.question_at)
+                    .all())
+
+    # Fetch all related embeddings for the interactions in this session
+    embedding_query = (db.session.query(InteractionEmbedding.interaction_id,
+                                        DocumentVersion.url,
+                                        DocumentVersion.file_name)
+                       .join(Embedding, InteractionEmbedding.embedding_id == Embedding.id)
+                       .join(DocumentVersion, Embedding.doc_vers_id == DocumentVersion.id)
+                       .filter(InteractionEmbedding.interaction_id.in_([i.id for i in interactions])))
+
+    # Create a dictionary to store embeddings for each interaction
+    embeddings_dict = {}
+    for interaction_id, url, file_name in embedding_query:
+        if interaction_id not in embeddings_dict:
+            embeddings_dict[interaction_id] = []
+        embeddings_dict[interaction_id].append({'url': url, 'file_name': file_name})
+
+    return render_template('interaction/view_chat_session.html',
+                           chat_session=chat_session,
+                           interactions=interactions,
+                           embeddings_dict=embeddings_dict)
 
 
 @interaction_bp.route('/view_chat_session_by_session_id/<session_id>', methods=['GET'])

eveai_app/views/user_forms.py

@@ -2,7 +2,7 @@ from flask import current_app
 from flask_wtf import FlaskForm
 from wtforms import (StringField, PasswordField, BooleanField, SubmitField, EmailField, IntegerField, DateField,
                      SelectField, SelectMultipleField, FieldList, FormField, FloatField, TextAreaField)
-from wtforms.validators import DataRequired, Length, Email, NumberRange, Optional
+from wtforms.validators import DataRequired, Length, Email, NumberRange, Optional, ValidationError
 import pytz
 
 from common.models.user import Role
@@ -18,6 +18,8 @@ class TenantForm(FlaskForm):
     timezone = SelectField('Timezone', choices=[], validators=[DataRequired()])
     # RAG context
     rag_context = TextAreaField('RAG Context', validators=[Optional()])
+    # Tenant Type
+    type = SelectField('Tenant Type', validators=[Optional()], default='Active')
     # LLM fields
     embedding_model = SelectField('Embedding Model', choices=[], validators=[DataRequired()])
     llm_model = SelectField('Large Language Model', choices=[], validators=[DataRequired()])
@@ -32,6 +34,7 @@ class TenantForm(FlaskForm):
                                 default='p, li')
     html_included_elements = StringField('HTML Included Elements', validators=[Optional()])
     html_excluded_elements = StringField('HTML Excluded Elements', validators=[Optional()])
+    html_excluded_classes = StringField('HTML Excluded Classes', validators=[Optional()])
     min_chunk_size = IntegerField('Minimum Chunk Size (2000)', validators=[NumberRange(min=0), Optional()], default=2000)
     max_chunk_size = IntegerField('Maximum Chunk Size (3000)', validators=[NumberRange(min=0), Optional()], default=3000)
     # Embedding Search variables
@@ -64,6 +67,7 @@ class TenantForm(FlaskForm):
         # Initialize fallback algorithms
         self.fallback_algorithms.choices = \
             [(algorithm, algorithm.lower()) for algorithm in current_app.config['FALLBACK_ALGORITHMS']]
+        self.type.choices = [(t, t) for t in current_app.config['TENANT_TYPES']]
 
 
 class BaseUserForm(FlaskForm):
@@ -106,4 +110,14 @@ class TenantDomainForm(FlaskForm):
     submit = SubmitField('Add Domain')
 
 
+class TenantSelectionForm(FlaskForm):
+    types = SelectMultipleField('Tenant Types', choices=[], validators=[Optional()])
+    search = StringField('Search', validators=[Optional()])
+    submit = SubmitField('Filter')
+
+    def __init__(self, *args, **kwargs):
+        super(TenantSelectionForm, self).__init__(*args, **kwargs)
+        self.types.choices = [(t, t) for t in current_app.config['TENANT_TYPES']]
+
+
 

eveai_app/views/user_views.py

@@ -10,7 +10,7 @@ import ast
 from common.models.user import User, Tenant, Role, TenantDomain
 from common.extensions import db, security, minio_client, simple_encryption
 from common.utils.security_utils import send_confirmation_email, send_reset_email
-from .user_forms import TenantForm, CreateUserForm, EditUserForm, TenantDomainForm
+from .user_forms import TenantForm, CreateUserForm, EditUserForm, TenantDomainForm, TenantSelectionForm
 from common.utils.database import Database
 from common.utils.view_assistants import prepare_table_for_macro, form_validation_failed
 from common.utils.simple_encryption import generate_api_key
@@ -68,6 +68,8 @@ def tenant():
             if form.html_included_elements.data else []
         new_tenant.html_excluded_elements = [tag.strip() for tag in form.html_excluded_elements.data.split(',')] \
             if form.html_excluded_elements.data else []
+        new_tenant.html_excluded_classes = [cls.strip() for cls in form.html_excluded_classes.data.split(',')] \
+            if form.html_excluded_classes.data else []
 
         current_app.logger.debug(f'html_tags: {new_tenant.html_tags},'
                                  f'html_end_tags: {new_tenant.html_end_tags},'
@@ -123,8 +125,11 @@ def edit_tenant(tenant_id):
             form.html_included_elements.data = ', '.join(tenant.html_included_elements)
         if tenant.html_excluded_elements:
             form.html_excluded_elements.data = ', '.join(tenant.html_excluded_elements)
+        if tenant.html_excluded_classes:
+            form.html_excluded_classes.data = ', '.join(tenant.html_excluded_classes)
 
     if form.validate_on_submit():
+        current_app.logger.debug(f'Updating tenant {tenant_id}')
         # Populate the tenant with form data
         form.populate_obj(tenant)
         # Then handle the special fields manually
@@ -134,6 +139,8 @@ def edit_tenant(tenant_id):
                                          elem.strip()]
         tenant.html_excluded_elements = [elem.strip() for elem in form.html_excluded_elements.data.split(',') if
                                          elem.strip()]
+        tenant.html_excluded_classes = [elem.strip() for elem in form.html_excluded_classes.data.split(',') if
+                                        elem.strip()]
 
         db.session.commit()
         flash('Tenant updated successfully.', 'success')
@@ -142,6 +149,7 @@ def edit_tenant(tenant_id):
                 session['tenant'] = tenant.to_dict()
         # return redirect(url_for(f"user/tenant/tenant_id"))
     else:
+        current_app.logger.debug(f'Tenant update failed with errors: {form.errors}')
         form_validation_failed(request, form)
 
     return render_template('user/edit_tenant.html', form=form, tenant_id=tenant_id)
@@ -239,20 +247,29 @@ def edit_user(user_id):
     return render_template('user/edit_user.html', form=form, user_id=user_id)
 
 
-@user_bp.route('/select_tenant')
+@user_bp.route('/select_tenant', methods=['GET', 'POST'])
 @roles_required('Super User')
 def select_tenant():
+    filter_form = TenantSelectionForm(request.form)
     page = request.args.get('page', 1, type=int)
     per_page = request.args.get('per_page', 10, type=int)
 
-    query = Tenant.query.order_by(Tenant.name)  # Fetch all tenants from the database
+    query = Tenant.query
 
-    pagination = query.paginate(page=page, per_page=per_page)
+    if filter_form.validate_on_submit():
+        if filter_form.types.data:
+            query = query.filter(Tenant.type.in_(filter_form.types.data))
+        if filter_form.search.data:
+            search = f"%{filter_form.search.data}%"
+            query = query.filter(Tenant.name.ilike(search))
+
+    query = query.order_by(Tenant.name)
+    pagination = query.paginate(page=page, per_page=per_page, error_out=False)
     tenants = pagination.items
 
-    rows = prepare_table_for_macro(tenants, [('id', ''), ('name', ''), ('website', '')])
+    rows = prepare_table_for_macro(tenants, [('id', ''), ('name', ''), ('website', ''), ('type', '')])
 
-    return render_template('user/select_tenant.html', rows=rows, pagination=pagination)
+    return render_template('user/select_tenant.html', rows=rows, pagination=pagination, filter_form=filter_form)
 
 
 @user_bp.route('/handle_tenant_selection', methods=['POST'])
@@ -429,6 +446,36 @@ def generate_chat_api_key():
     tenant.encrypted_chat_api_key = simple_encryption.encrypt_api_key(new_api_key)
     update_logging_information(tenant, dt.now(tz.utc))
 
+    try:
+        db.session.add(tenant)
+        db.session.commit()
+    except SQLAlchemyError as e:
+        db.session.rollback()
+        current_app.logger.error(f'Unable to store chat api key for tenant {tenant.id}. Error: {str(e)}')
+
+    return jsonify({'api_key': new_api_key}), 200
+
+
+@user_bp.route('/check_api_api_key', methods=['POST'])
+@roles_accepted('Super User', 'Tenant Admin')
+def check_api_api_key():
+    tenant_id = session['tenant']['id']
+    tenant = Tenant.query.get_or_404(tenant_id)
+
+    if tenant.encrypted_api_key:
+        return jsonify({'api_key_exists': True})
+    return jsonify({'api_key_exists': False})
+
+
+@user_bp.route('/generate_api_api_key', methods=['POST'])
+@roles_accepted('Super User', 'Tenant Admin')
+def generate_api_api_key():
+    tenant = Tenant.query.get_or_404(session['tenant']['id'])
+
+    new_api_key = generate_api_key(prefix="EveAI-API")
+    tenant.encrypted_api_key = simple_encryption.encrypt_api_key(new_api_key)
+    update_logging_information(tenant, dt.now(tz.utc))
+
     try:
         db.session.add(tenant)
         db.session.commit()

eveai_chat/__init__.py

@@ -3,7 +3,7 @@ import logging.config
 from flask import Flask, jsonify
 import os
 
-from common.extensions import db, socketio, jwt, cors, session, simple_encryption
+from common.extensions import db, socketio, jwt, cors, session, simple_encryption, metrics
 from config.logging_config import LOGGING
 from eveai_chat.socket_handlers import chat_handler
 from common.utils.cors_utils import create_cors_after_request
@@ -32,17 +32,6 @@ def create_app(config_file=None):
     app.celery = make_celery(app.name, app.config)
     init_celery(app.celery, app)
 
-    # Register Blueprints
-    # register_blueprints(app)
-
-    @app.route('/ping')
-    def ping():
-        return 'pong'
-
-    @app.route('/health', methods=['GET'])
-    def health():
-        return jsonify({'status': 'ok'}), 200
-
     app.logger.info("EveAI Chat Server Started Successfully")
     app.logger.info("-------------------------------------------------------------------------------------------------")
     return app
@@ -61,8 +50,8 @@ def register_extensions(app):
                       ping_interval=app.config.get('SOCKETIO_PING_INTERVAL'),
                       )
     jwt.init_app(app)
-    # kms_client.init_app(app)
     simple_encryption.init_app(app)
+    metrics.init_app(app)
 
     # Cors setup
     cors.init_app(app, resources={r"/chat/*": {"origins": "*"}})
@@ -72,5 +61,5 @@ def register_extensions(app):
 
 
 def register_blueprints(app):
-    from .views.chat_views import chat_bp
-    app.register_blueprint(chat_bp)
+    from views.healthz_views import healthz_bp
+    app.register_blueprint(healthz_bp)

eveai_chat/socket_handlers/chat_handler.py

@@ -1,10 +1,13 @@
 import uuid
+from functools import wraps
 
 from flask_jwt_extended import create_access_token, get_jwt_identity, verify_jwt_in_request, decode_token
 from flask_socketio import emit, disconnect, join_room, leave_room
 from flask import current_app, request, session
 from sqlalchemy.exc import SQLAlchemyError
 from datetime import datetime, timedelta
+from prometheus_client import Counter, Histogram
+from time import time
 
 from common.extensions import socketio, db, simple_encryption
 from common.models.user import Tenant
@@ -12,8 +15,27 @@ from common.models.interaction import Interaction
 from common.utils.celery_utils import current_celery
 from common.utils.database import Database
 
+# Define custom metrics
+socketio_message_counter = Counter('socketio_message_count', 'Count of SocketIO messages', ['event_type'])
+socketio_message_latency = Histogram('socketio_message_latency_seconds', 'Latency of SocketIO message processing', ['event_type'])
+
+
+# Decorator to measure SocketIO events
+def track_socketio_event(func):
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        event_type = func.__name__
+        socketio_message_counter.labels(event_type=event_type).inc()
+        start_time = time()
+        result = func(*args, **kwargs)
+        latency = time() - start_time
+        socketio_message_latency.labels(event_type=event_type).observe(latency)
+        return result
+    return wrapper
+
 
 @socketio.on('connect')
+@track_socketio_event
 def handle_connect():
     try:
         current_app.logger.debug(f'SocketIO: Connection handling started using {request.args}')
@@ -58,6 +80,7 @@ def handle_connect():
 
 
 @socketio.on('disconnect')
+@track_socketio_event
 def handle_disconnect():
     room = session.get('room')
     if room:

eveai_chat/views/chat_views.py

@@ -1,77 +0,0 @@
-from datetime import datetime as dt, timezone as tz
-from flask import request, redirect, url_for, render_template, Blueprint, session, current_app, jsonify
-from flask_security import hash_password, roles_required, roles_accepted
-from sqlalchemy.exc import SQLAlchemyError
-from flask_jwt_extended import create_access_token, jwt_required, get_jwt_identity
-from flask_socketio import emit, join_room, leave_room
-import ast
-
-
-from common.models.user import User, Tenant
-from common.models.interaction import ChatSession, Interaction, InteractionEmbedding
-from common.models.document import Embedding
-from common.extensions import db, socketio, kms_client
-from common.utils.database import Database
-
-chat_bp = Blueprint('chat_bp', __name__, url_prefix='/chat')
-
-
-@chat_bp.route('/register_client', methods=['POST'])
-def register_client():
-    tenant_id = request.json.get('tenant_id')
-    api_key = request.json.get('api_key')
-
-    # Validate tenant_id and api_key here (e.g., check against the database)
-    if validate_tenant(tenant_id, api_key):
-        access_token = create_access_token(identity={'tenant_id': tenant_id, 'api_key': api_key})
-        current_app.logger.debug(f'Tenant Registration: Tenant {tenant_id} registered successfully')
-        return jsonify({'token': access_token}), 200
-    else:
-        current_app.logger.debug(f'Tenant Registration: Invalid tenant_id ({tenant_id}) or api_key ({api_key})')
-        return jsonify({'message': 'Invalid credentials'}), 401
-
-
-@socketio.on('connect', namespace='/chat')
-@jwt_required()
-def handle_connect():
-    current_tenant = get_jwt_identity()
-    current_app.logger.debug(f'Tenant {current_tenant["tenant_id"]} connected')
-
-
-@socketio.on('message', namespace='/chat')
-@jwt_required()
-def handle_message(data):
-    current_tenant = get_jwt_identity()
-    current_app.logger.debug(f'Tenant {current_tenant["tenant_id"]} sent a message: {data}')
-    # Store interaction in the database
-    emit('response', {'data': 'Message received'}, broadcast=True)
-
-
-def validate_tenant(tenant_id, api_key):
-    tenant = Tenant.query.get_or_404(tenant_id)
-    encrypted_api_key = ast.literal_eval(tenant.encrypted_chat_api_key)
-
-    decrypted_api_key = kms_client.decrypt_api_key(encrypted_api_key)
-
-    return decrypted_api_key == api_key
-
-
-
-# @chat_bp.route('/', methods=['GET', 'POST'])
-# def chat():
-#     return render_template('chat.html')
-#
-#
-# @chat.record_once
-# def on_register(state):
-#     # TODO: write initialisation code when the blueprint is registered (only once)
-#     # socketio.init_app(state.app)
-#     pass
-#
-#
-# @socketio.on('message', namespace='/chat')
-# def handle_message(message):
-#     # TODO: write message handling code to actually realise chat
-#     # print('Received message:', message)
-#     # socketio.emit('response', {'data': message}, namespace='/chat')
-#     pass

eveai_chat/views/healthz_views.py

@@ -0,0 +1,70 @@
+from flask import Blueprint, current_app, request
+from flask_healthz import HealthError
+from sqlalchemy.exc import SQLAlchemyError
+from celery.exceptions import TimeoutError as CeleryTimeoutError
+from common.extensions import db, metrics, minio_client
+from common.utils.celery_utils import current_celery
+from eveai_chat.socket_handlers.chat_handler import socketio_message_counter, socketio_message_latency
+
+healthz_bp = Blueprint('healthz', __name__, url_prefix='/_healthz')
+
+
+def liveness():
+    try:
+        # Basic check to see if the app is running
+        return True
+    except Exception:
+        raise HealthError("Liveness check failed")
+
+
+def readiness():
+    checks = {
+        "database": check_database(),
+        "celery": check_celery(),
+        # Add more checks as needed
+    }
+
+    if not all(checks.values()):
+        raise HealthError("Readiness check failed")
+
+
+def check_database():
+    try:
+        # Perform a simple database query
+        db.session.execute("SELECT 1")
+        return True
+    except SQLAlchemyError:
+        current_app.logger.error("Database check failed", exc_info=True)
+        return False
+
+
+def check_celery():
+    try:
+        # Send a simple task to Celery
+        result = current_celery.send_task('ping', queue='llm_interactions')
+        response = result.get(timeout=10)  # Wait for up to 10 seconds for a response
+        return response == 'pong'
+    except CeleryTimeoutError:
+        current_app.logger.error("Celery check timed out", exc_info=True)
+        return False
+    except Exception as e:
+        current_app.logger.error(f"Celery check failed: {str(e)}", exc_info=True)
+        return False
+
+
+@healthz_bp.route('/metrics')
+@metrics.do_not_track()
+def prometheus_metrics():
+    return metrics.generate_latest()
+
+
+def init_healtz(app):
+    app.config.update(
+        HEALTHZ={
+            "live": "healthz_views.liveness",
+            "ready": "healthz_views.readiness",
+        }
+    )
+    # Register SocketIO metrics with Prometheus
+    metrics.register(socketio_message_counter)
+    metrics.register(socketio_message_latency)

eveai_chat_workers/tasks.py

@@ -22,12 +22,23 @@ from common.models.interaction import ChatSession, Interaction, InteractionEmbed
 from common.extensions import db
 from common.utils.celery_utils import current_celery
 from common.utils.model_utils import select_model_variables, create_language_template, replace_variable_in_template
-from common.langchain.EveAIRetriever import EveAIRetriever
-from common.langchain.EveAIHistoryRetriever import EveAIHistoryRetriever
+from common.langchain.eveai_retriever import EveAIRetriever
+from common.langchain.eveai_history_retriever import EveAIHistoryRetriever
+from common.utils.business_event import BusinessEvent
+from common.utils.business_event_context import current_event
+
+
+# Healthcheck task
+@current_celery.task(name='ping', queue='llm_interactions')
+def ping():
+    return 'pong'
 
 
 def detail_question(question, language, model_variables, session_id):
-    retriever = EveAIHistoryRetriever(model_variables, session_id)
+    current_app.logger.debug(f'Detail question: {question}')
+    current_app.logger.debug(f'model_varialbes: {model_variables}')
+    current_app.logger.debug(f'session_id: {session_id}')
+    retriever = EveAIHistoryRetriever(model_variables=model_variables, session_id=session_id)
     llm = model_variables['llm']
     template = model_variables['history_template']
     language_template = create_language_template(template, language)
@@ -56,53 +67,56 @@ def ask_question(tenant_id, question, language, session_id, user_timezone, room)
     'interaction_id': 'interaction_id_value'
     }
     """
-    current_app.logger.info(f'ask_question: Received question for tenant {tenant_id}: {question}. Processing...')
+    with BusinessEvent("Ask Question", tenant_id=tenant_id, chat_session_id=session_id):
+        current_app.logger.info(f'ask_question: Received question for tenant {tenant_id}: {question}. Processing...')
 
-    try:
-        # Retrieve the tenant
-        tenant = Tenant.query.get(tenant_id)
-        if not tenant:
-            raise Exception(f'Tenant {tenant_id} not found.')
+        try:
+            # Retrieve the tenant
+            tenant = Tenant.query.get(tenant_id)
+            if not tenant:
+                raise Exception(f'Tenant {tenant_id} not found.')
 
-        # Ensure we are working in the correct database schema
-        Database(tenant_id).switch_schema()
+            # Ensure we are working in the correct database schema
+            Database(tenant_id).switch_schema()
 
-        # Ensure we have a session to story history
-        chat_session = ChatSession.query.filter_by(session_id=session_id).first()
-        if not chat_session:
-            try:
-                chat_session = ChatSession()
-                chat_session.session_id = session_id
-                chat_session.session_start = dt.now(tz.utc)
-                chat_session.timezone = user_timezone
-                db.session.add(chat_session)
-                db.session.commit()
-            except SQLAlchemyError as e:
-                current_app.logger.error(f'ask_question: Error initializing chat session in database: {e}')
-                raise
+            # Ensure we have a session to story history
+            chat_session = ChatSession.query.filter_by(session_id=session_id).first()
+            if not chat_session:
+                try:
+                    chat_session = ChatSession()
+                    chat_session.session_id = session_id
+                    chat_session.session_start = dt.now(tz.utc)
+                    chat_session.timezone = user_timezone
+                    db.session.add(chat_session)
+                    db.session.commit()
+                except SQLAlchemyError as e:
+                    current_app.logger.error(f'ask_question: Error initializing chat session in database: {e}')
+                    raise
 
-        if tenant.rag_tuning:
-            current_app.rag_tuning_logger.debug(f'Received question for tenant {tenant_id}:\n{question}. Processing...')
-            current_app.rag_tuning_logger.debug(f'Tenant Information: \n{tenant.to_dict()}')
-            current_app.rag_tuning_logger.debug(f'===================================================================')
-            current_app.rag_tuning_logger.debug(f'===================================================================')
+            if tenant.rag_tuning:
+                current_app.rag_tuning_logger.debug(f'Received question for tenant {tenant_id}:\n{question}. Processing...')
+                current_app.rag_tuning_logger.debug(f'Tenant Information: \n{tenant.to_dict()}')
+                current_app.rag_tuning_logger.debug(f'===================================================================')
+                current_app.rag_tuning_logger.debug(f'===================================================================')
 
-        result, interaction = answer_using_tenant_rag(question, language, tenant, chat_session)
-        result['algorithm'] = current_app.config['INTERACTION_ALGORITHMS']['RAG_TENANT']['name']
-        result['interaction_id'] = interaction.id
-        result['room'] = room  # Include the room in the result
-
-        if result['insufficient_info']:
-            if 'LLM' in tenant.fallback_algorithms:
-                result, interaction = answer_using_llm(question, language, tenant, chat_session)
-                result['algorithm'] = current_app.config['INTERACTION_ALGORITHMS']['LLM']['name']
+            with current_event.create_span("RAG Answer"):
+                result, interaction = answer_using_tenant_rag(question, language, tenant, chat_session)
+                result['algorithm'] = current_app.config['INTERACTION_ALGORITHMS']['RAG_TENANT']['name']
                 result['interaction_id'] = interaction.id
                 result['room'] = room  # Include the room in the result
 
-        return result
-    except Exception as e:
-        current_app.logger.error(f'ask_question: Error processing question: {e}')
-        raise
+            if result['insufficient_info']:
+                if 'LLM' in tenant.fallback_algorithms:
+                    with current_event.create_span("Fallback Algorithm LLM"):
+                        result, interaction = answer_using_llm(question, language, tenant, chat_session)
+                        result['algorithm'] = current_app.config['INTERACTION_ALGORITHMS']['LLM']['name']
+                        result['interaction_id'] = interaction.id
+                        result['room'] = room  # Include the room in the result
+
+            return result
+        except Exception as e:
+            current_app.logger.error(f'ask_question: Error processing question: {e}')
+            raise
 
 
 def answer_using_tenant_rag(question, language, tenant, chat_session):
@@ -122,92 +136,94 @@ def answer_using_tenant_rag(question, language, tenant, chat_session):
     # Langchain debugging if required
     # set_debug(True)
 
-    detailed_question = detail_question(question, language, model_variables, chat_session.session_id)
-    current_app.logger.debug(f'Original question:\n {question}\n\nDetailed question: {detailed_question}')
-    if tenant.rag_tuning:
-        current_app.rag_tuning_logger.debug(f'Detailed Question for tenant {tenant.id}:\n{question}.')
-        current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
-    new_interaction.detailed_question = detailed_question
-    new_interaction.detailed_question_at = dt.now(tz.utc)
-
-    retriever = EveAIRetriever(model_variables, tenant_info)
-    llm = model_variables['llm']
-    template = model_variables['rag_template']
-    language_template = create_language_template(template, language)
-    full_template = replace_variable_in_template(language_template, "{tenant_context}", model_variables['rag_context'])
-    rag_prompt = ChatPromptTemplate.from_template(full_template)
-    setup_and_retrieval = RunnableParallel({"context": retriever, "question": RunnablePassthrough()})
-    if tenant.rag_tuning:
-        current_app.rag_tuning_logger.debug(f'Full prompt for tenant {tenant.id}:\n{full_template}.')
-        current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
-
-    new_interaction_embeddings = []
-    if not model_variables['cited_answer_cls']:  # The model doesn't support structured feedback
-        output_parser = StrOutputParser()
-
-        chain = setup_and_retrieval | rag_prompt | llm | output_parser
-
-        # Invoke the chain with the actual question
-        answer = chain.invoke(detailed_question)
-        new_interaction.answer = answer
-        result = {
-            'answer': answer,
-            'citations': [],
-            'insufficient_info': False
-        }
-
-    else:  # The model supports structured feedback
-        structured_llm = llm.with_structured_output(model_variables['cited_answer_cls'])
-
-        chain = setup_and_retrieval | rag_prompt | structured_llm
-
-        result = chain.invoke(detailed_question).dict()
-        current_app.logger.debug(f'ask_question: result answer: {result['answer']}')
-        current_app.logger.debug(f'ask_question: result citations: {result["citations"]}')
-        current_app.logger.debug(f'ask_question: insufficient information: {result["insufficient_info"]}')
+    with current_event.create_span("Detail Question"):
+        detailed_question = detail_question(question, language, model_variables, chat_session.session_id)
+        current_app.logger.debug(f'Original question:\n {question}\n\nDetailed question: {detailed_question}')
         if tenant.rag_tuning:
-            current_app.rag_tuning_logger.debug(f'ask_question: result answer: {result['answer']}')
-            current_app.rag_tuning_logger.debug(f'ask_question: result citations: {result["citations"]}')
-            current_app.rag_tuning_logger.debug(f'ask_question: insufficient information: {result["insufficient_info"]}')
+            current_app.rag_tuning_logger.debug(f'Detailed Question for tenant {tenant.id}:\n{question}.')
             current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
-        new_interaction.answer = result['answer']
+        new_interaction.detailed_question = detailed_question
+        new_interaction.detailed_question_at = dt.now(tz.utc)
 
-        # Filter out the existing Embedding IDs
-        given_embedding_ids = [int(emb_id) for emb_id in result['citations']]
-        embeddings = (
-            db.session.query(Embedding)
-            .filter(Embedding.id.in_(given_embedding_ids))
-            .all()
-        )
-        existing_embedding_ids = [emb.id for emb in embeddings]
-        urls = list(set(emb.document_version.url for emb in embeddings))
+    with current_event.create_span("Generate Answer using RAG"):
+        retriever = EveAIRetriever(model_variables, tenant_info)
+        llm = model_variables['llm']
+        template = model_variables['rag_template']
+        language_template = create_language_template(template, language)
+        full_template = replace_variable_in_template(language_template, "{tenant_context}", model_variables['rag_context'])
+        rag_prompt = ChatPromptTemplate.from_template(full_template)
+        setup_and_retrieval = RunnableParallel({"context": retriever, "question": RunnablePassthrough()})
         if tenant.rag_tuning:
-            current_app.rag_tuning_logger.debug(f'Referenced documents for answer for tenant {tenant.id}:\n')
-            current_app.rag_tuning_logger.debug(f'{urls}')
+            current_app.rag_tuning_logger.debug(f'Full prompt for tenant {tenant.id}:\n{full_template}.')
             current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
 
-        for emb_id in existing_embedding_ids:
-            new_interaction_embedding = InteractionEmbedding(embedding_id=emb_id)
-            new_interaction_embedding.interaction = new_interaction
-            new_interaction_embeddings.append(new_interaction_embedding)
+        new_interaction_embeddings = []
+        if not model_variables['cited_answer_cls']:  # The model doesn't support structured feedback
+            output_parser = StrOutputParser()
 
-        result['citations'] = urls
+            chain = setup_and_retrieval | rag_prompt | llm | output_parser
 
-    # Disable langchain debugging if set above.
-    # set_debug(False)
+            # Invoke the chain with the actual question
+            answer = chain.invoke(detailed_question)
+            new_interaction.answer = answer
+            result = {
+                'answer': answer,
+                'citations': [],
+                'insufficient_info': False
+            }
 
-    new_interaction.answer_at = dt.now(tz.utc)
-    chat_session.session_end = dt.now(tz.utc)
+        else:  # The model supports structured feedback
+            structured_llm = llm.with_structured_output(model_variables['cited_answer_cls'])
 
-    try:
-        db.session.add(chat_session)
-        db.session.add(new_interaction)
-        db.session.add_all(new_interaction_embeddings)
-        db.session.commit()
-        return result, new_interaction
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'ask_question: Error saving interaction to database: {e}')
-        raise
+            chain = setup_and_retrieval | rag_prompt | structured_llm
+
+            result = chain.invoke(detailed_question).dict()
+            current_app.logger.debug(f'ask_question: result answer: {result['answer']}')
+            current_app.logger.debug(f'ask_question: result citations: {result["citations"]}')
+            current_app.logger.debug(f'ask_question: insufficient information: {result["insufficient_info"]}')
+            if tenant.rag_tuning:
+                current_app.rag_tuning_logger.debug(f'ask_question: result answer: {result['answer']}')
+                current_app.rag_tuning_logger.debug(f'ask_question: result citations: {result["citations"]}')
+                current_app.rag_tuning_logger.debug(f'ask_question: insufficient information: {result["insufficient_info"]}')
+                current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
+            new_interaction.answer = result['answer']
+
+            # Filter out the existing Embedding IDs
+            given_embedding_ids = [int(emb_id) for emb_id in result['citations']]
+            embeddings = (
+                db.session.query(Embedding)
+                .filter(Embedding.id.in_(given_embedding_ids))
+                .all()
+            )
+            existing_embedding_ids = [emb.id for emb in embeddings]
+            urls = list(set(emb.document_version.url for emb in embeddings))
+            if tenant.rag_tuning:
+                current_app.rag_tuning_logger.debug(f'Referenced documents for answer for tenant {tenant.id}:\n')
+                current_app.rag_tuning_logger.debug(f'{urls}')
+                current_app.rag_tuning_logger.debug(f'-------------------------------------------------------------------')
+
+            for emb_id in existing_embedding_ids:
+                new_interaction_embedding = InteractionEmbedding(embedding_id=emb_id)
+                new_interaction_embedding.interaction = new_interaction
+                new_interaction_embeddings.append(new_interaction_embedding)
+
+            result['citations'] = urls
+
+        # Disable langchain debugging if set above.
+        # set_debug(False)
+
+        new_interaction.answer_at = dt.now(tz.utc)
+        chat_session.session_end = dt.now(tz.utc)
+
+        try:
+            db.session.add(chat_session)
+            db.session.add(new_interaction)
+            db.session.add_all(new_interaction_embeddings)
+            db.session.commit()
+            return result, new_interaction
+        except SQLAlchemyError as e:
+            current_app.logger.error(f'ask_question: Error saving interaction to database: {e}')
+            raise
 
 
 def answer_using_llm(question, language, tenant, chat_session):
@@ -227,47 +243,49 @@ def answer_using_llm(question, language, tenant, chat_session):
     # Langchain debugging if required
     # set_debug(True)
 
-    detailed_question = detail_question(question, language, model_variables, chat_session.session_id)
-    current_app.logger.debug(f'Original question:\n {question}\n\nDetailed question: {detailed_question}')
-    new_interaction.detailed_question = detailed_question
-    new_interaction.detailed_question_at = dt.now(tz.utc)
+    with current_event.create_span("Detail Question"):
+        detailed_question = detail_question(question, language, model_variables, chat_session.session_id)
+        current_app.logger.debug(f'Original question:\n {question}\n\nDetailed question: {detailed_question}')
+        new_interaction.detailed_question = detailed_question
+        new_interaction.detailed_question_at = dt.now(tz.utc)
 
-    retriever = EveAIRetriever(model_variables, tenant_info)
-    llm = model_variables['llm_no_rag']
-    template = model_variables['encyclopedia_template']
-    language_template = create_language_template(template, language)
-    rag_prompt = ChatPromptTemplate.from_template(language_template)
-    setup = RunnablePassthrough()
-    output_parser = StrOutputParser()
+    with current_event.create_span("Detail Answer using LLM"):
+        retriever = EveAIRetriever(model_variables, tenant_info)
+        llm = model_variables['llm_no_rag']
+        template = model_variables['encyclopedia_template']
+        language_template = create_language_template(template, language)
+        rag_prompt = ChatPromptTemplate.from_template(language_template)
+        setup = RunnablePassthrough()
+        output_parser = StrOutputParser()
 
-    new_interaction_embeddings = []
+        new_interaction_embeddings = []
 
-    chain = setup | rag_prompt | llm | output_parser
-    input_question = {"question": detailed_question}
+        chain = setup | rag_prompt | llm | output_parser
+        input_question = {"question": detailed_question}
 
-    # Invoke the chain with the actual question
-    answer = chain.invoke(input_question)
-    new_interaction.answer = answer
-    result = {
-        'answer': answer,
-        'citations': [],
-        'insufficient_info': False
-    }
+        # Invoke the chain with the actual question
+        answer = chain.invoke(input_question)
+        new_interaction.answer = answer
+        result = {
+            'answer': answer,
+            'citations': [],
+            'insufficient_info': False
+        }
 
-    # Disable langchain debugging if set above.
-    # set_debug(False)
+        # Disable langchain debugging if set above.
+        # set_debug(False)
 
-    new_interaction.answer_at = dt.now(tz.utc)
-    chat_session.session_end = dt.now(tz.utc)
+        new_interaction.answer_at = dt.now(tz.utc)
+        chat_session.session_end = dt.now(tz.utc)
 
-    try:
-        db.session.add(chat_session)
-        db.session.add(new_interaction)
-        db.session.commit()
-        return result, new_interaction
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'ask_question: Error saving interaction to database: {e}')
-        raise
+        try:
+            db.session.add(chat_session)
+            db.session.add(new_interaction)
+            db.session.commit()
+            return result, new_interaction
+        except SQLAlchemyError as e:
+            current_app.logger.error(f'ask_question: Error saving interaction to database: {e}')
+            raise
 
 
 def tasks_ping():

eveai_workers/Processors/audio_processor.py

@@ -0,0 +1,153 @@
+import io
+import os
+
+from pydub import AudioSegment
+import tempfile
+from common.extensions import minio_client
+import subprocess
+
+from .transcription_processor import TranscriptionProcessor
+from common.utils.business_event_context import current_event
+
+
+class AudioProcessor(TranscriptionProcessor):
+    def __init__(self, tenant, model_variables, document_version):
+        super().__init__(tenant, model_variables, document_version)
+        self.transcription_client = model_variables['transcription_client']
+        self.transcription_model = model_variables['transcription_model']
+        self.ffmpeg_path = 'ffmpeg'
+
+    def _get_transcription(self):
+        file_data = minio_client.download_document_file(
+            self.tenant.id,
+            self.document_version.doc_id,
+            self.document_version.language,
+            self.document_version.id,
+            self.document_version.file_name
+        )
+
+        with current_event.create_span("Audio Processing"):
+            compressed_audio = self._compress_audio(file_data)
+        with current_event.create_span("Transcription Generation"):
+            transcription = self._transcribe_audio(compressed_audio)
+
+        return transcription
+
+    def _compress_audio(self, audio_data):
+        self._log("Compressing audio")
+        with tempfile.NamedTemporaryFile(delete=False, suffix=f'.{self.document_version.file_type}') as temp_input:
+            temp_input.write(audio_data)
+            temp_input.flush()
+
+            # Use a unique filename for the output to avoid conflicts
+            output_filename = f'compressed_{os.urandom(8).hex()}.mp3'
+            output_path = os.path.join(tempfile.gettempdir(), output_filename)
+
+            try:
+                result = subprocess.run(
+                    [self.ffmpeg_path, '-y', '-i', temp_input.name, '-b:a', '64k', '-f', 'mp3', output_path],
+                    capture_output=True,
+                    text=True,
+                    check=True
+                )
+
+                with open(output_path, 'rb') as f:
+                    compressed_data = f.read()
+
+                # Save compressed audio to MinIO
+                compressed_filename = f"{self.document_version.id}_compressed.mp3"
+                minio_client.upload_document_file(
+                    self.tenant.id,
+                    self.document_version.doc_id,
+                    self.document_version.language,
+                    self.document_version.id,
+                    compressed_filename,
+                    compressed_data
+                )
+                self._log(f"Saved compressed audio to MinIO: {compressed_filename}")
+
+                return compressed_data
+
+            except subprocess.CalledProcessError as e:
+                error_message = f"Compression failed: {e.stderr}"
+                self._log(error_message, level='error')
+                raise Exception(error_message)
+
+            finally:
+                # Clean up temporary files
+                os.unlink(temp_input.name)
+                if os.path.exists(output_path):
+                    os.unlink(output_path)
+
+    def _transcribe_audio(self, audio_data):
+        self._log("Starting audio transcription")
+        audio = AudioSegment.from_file(io.BytesIO(audio_data), format="mp3")
+
+        segment_length = 10 * 60 * 1000  # 10 minutes in milliseconds
+        transcriptions = []
+
+        for i, chunk in enumerate(audio[::segment_length]):
+            self._log(f'Processing chunk {i + 1} of {len(audio) // segment_length + 1}')
+
+            with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_audio:
+                chunk.export(temp_audio.name, format="mp3")
+                temp_audio.flush()
+
+                try:
+                    file_size = os.path.getsize(temp_audio.name)
+                    self._log(f"Temporary audio file size: {file_size} bytes")
+
+                    with open(temp_audio.name, 'rb') as audio_file:
+                        file_start = audio_file.read(100)
+                        self._log(f"First 100 bytes of audio file: {file_start}")
+                        audio_file.seek(0)  # Reset file pointer to the beginning
+
+                        self._log("Calling transcription API")
+                        transcription = self.transcription_client.audio.transcriptions.create(
+                            file=audio_file,
+                            model=self.transcription_model,
+                            language=self.document_version.language,
+                            response_format='verbose_json',
+                        )
+                        self._log("Transcription API call completed")
+
+                    if transcription:
+                        # Handle the transcription result based on its type
+                        if isinstance(transcription, str):
+                            self._log(f"Transcription result (string): {transcription[:100]}...")
+                            transcriptions.append(transcription)
+                        elif hasattr(transcription, 'text'):
+                            self._log(
+                                f"Transcription result (object with 'text' attribute): {transcription.text[:100]}...")
+                            transcriptions.append(transcription.text)
+                        else:
+                            self._log(f"Transcription result (unknown type): {str(transcription)[:100]}...")
+                            transcriptions.append(str(transcription))
+                    else:
+                        self._log("Warning: Received empty transcription", level='warning')
+
+                except Exception as e:
+                    self._log(f"Error during transcription: {str(e)}", level='error')
+                finally:
+                    os.unlink(temp_audio.name)
+
+        full_transcription = " ".join(filter(None, transcriptions))
+
+        if not full_transcription:
+            self._log("Warning: No transcription was generated", level='warning')
+            full_transcription = "No transcription available."
+
+        # Save transcription to MinIO
+        transcription_filename = f"{self.document_version.id}_transcription.txt"
+        minio_client.upload_document_file(
+            self.tenant.id,
+            self.document_version.doc_id,
+            self.document_version.language,
+            self.document_version.id,
+            transcription_filename,
+            full_transcription.encode('utf-8')
+        )
+        self._log(f"Saved transcription to MinIO: {transcription_filename}")
+
+        return full_transcription
+

eveai_workers/Processors/html_processor.py

@@ -0,0 +1,149 @@
+from bs4 import BeautifulSoup
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.runnables import RunnablePassthrough
+from common.extensions import db, minio_client
+from common.utils.model_utils import create_language_template
+from .processor import Processor
+from common.utils.business_event_context import current_event
+
+
+class HTMLProcessor(Processor):
+    def __init__(self, tenant, model_variables, document_version):
+        super().__init__(tenant, model_variables, document_version)
+        self.html_tags = model_variables['html_tags']
+        self.html_end_tags = model_variables['html_end_tags']
+        self.html_included_elements = model_variables['html_included_elements']
+        self.html_excluded_elements = model_variables['html_excluded_elements']
+        self.chunk_size = model_variables['processing_chunk_size']  # Adjust this based on your LLM's optimal input size
+        self.chunk_overlap = model_variables[
+            'processing_chunk_overlap']  # Adjust for context preservation between chunks
+
+    def process(self):
+        self._log("Starting HTML processing")
+        try:
+            file_data = minio_client.download_document_file(
+                self.tenant.id,
+                self.document_version.doc_id,
+                self.document_version.language,
+                self.document_version.id,
+                self.document_version.file_name
+            )
+            html_content = file_data.decode('utf-8')
+
+            with current_event.create_span("HTML Content Extraction"):
+                extracted_html, title = self._parse_html(html_content)
+            with current_event.create_span("Markdown Generation"):
+                markdown = self._generate_markdown_from_html(extracted_html)
+
+            self._save_markdown(markdown)
+            self._log("Finished processing HTML")
+            return markdown, title
+        except Exception as e:
+            self._log(f"Error processing HTML: {str(e)}", level='error')
+            raise
+
+    def _parse_html(self, html_content):
+        self._log(f'Parsing HTML for tenant {self.tenant.id}')
+        soup = BeautifulSoup(html_content, 'html.parser')
+        extracted_html = ''
+        excluded_classes = self._parse_excluded_classes(self.tenant.html_excluded_classes)
+
+        if self.html_included_elements:
+            elements_to_parse = soup.find_all(self.html_included_elements)
+        else:
+            elements_to_parse = [soup]
+
+        for element in elements_to_parse:
+            for sub_element in element.find_all(self.html_tags):
+                if self._should_exclude_element(sub_element, excluded_classes):
+                    continue
+                extracted_html += self._extract_element_content(sub_element)
+
+        title = soup.find('title').get_text(strip=True) if soup.find('title') else ''
+
+        self._log(f'Finished parsing HTML for tenant {self.tenant.id}')
+        return extracted_html, title
+
+    def _generate_markdown_from_html(self, html_content):
+        self._log(f'Generating markdown from HTML for tenant {self.tenant.id}')
+
+        llm = self.model_variables['llm']
+        template = self.model_variables['html_parse_template']
+        parse_prompt = ChatPromptTemplate.from_template(template)
+        setup = RunnablePassthrough()
+        output_parser = StrOutputParser()
+        chain = setup | parse_prompt | llm | output_parser
+
+        soup = BeautifulSoup(html_content, 'lxml')
+        chunks = self._split_content(soup, self.chunk_size)
+
+        markdown_chunks = []
+        for chunk in chunks:
+            if self.embed_tuning:
+                self._log(f'Processing chunk: \n{chunk}\n')
+            input_html = {"html": chunk}
+            markdown_chunk = chain.invoke(input_html)
+            markdown_chunks.append(markdown_chunk)
+            if self.embed_tuning:
+                self._log(f'Processed markdown chunk: \n{markdown_chunk}\n')
+
+        markdown = "\n\n".join(markdown_chunks)
+        self._log(f'Finished generating markdown from HTML for tenant {self.tenant.id}')
+        return markdown
+
+    def _split_content(self, soup, max_size=20000):
+        chunks = []
+        current_chunk = []
+        current_size = 0
+
+        for element in soup.find_all(['h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'p', 'div', 'span', 'table']):
+            element_html = str(element)
+            element_size = len(element_html)
+
+            if current_size + element_size > max_size and current_chunk:
+                chunks.append(''.join(map(str, current_chunk)))
+                current_chunk = []
+                current_size = 0
+
+            current_chunk.append(element)
+            current_size += element_size
+
+            if element.name in ['h1', 'h2', 'h3'] and current_size > max_size:
+                chunks.append(''.join(map(str, current_chunk)))
+                current_chunk = []
+                current_size = 0
+
+        if current_chunk:
+            chunks.append(''.join(map(str, current_chunk)))
+
+        return chunks
+
+    def _parse_excluded_classes(self, excluded_classes):
+        parsed = {}
+        if excluded_classes:
+            for rule in excluded_classes:
+                element, cls = rule.split('.', 1)
+                parsed.setdefault(element, set()).add(cls)
+        return parsed
+
+    def _should_exclude_element(self, element, excluded_classes):
+        if self.html_excluded_elements and element.find_parent(self.html_excluded_elements):
+            return True
+        return self._is_element_excluded_by_class(element, excluded_classes)
+
+    def _is_element_excluded_by_class(self, element, excluded_classes):
+        for parent in element.parents:
+            if self._element_matches_exclusion(parent, excluded_classes):
+                return True
+        return self._element_matches_exclusion(element, excluded_classes)
+
+    def _element_matches_exclusion(self, element, excluded_classes):
+        if '*' in excluded_classes and any(cls in excluded_classes['*'] for cls in element.get('class', [])):
+            return True
+        return element.name in excluded_classes and \
+            any(cls in excluded_classes[element.name] for cls in element.get('class', []))
+
+    def _extract_element_content(self, element):
+        content = ' '.join(child.strip() for child in element.stripped_strings)
+        return f'<{element.name}>{content}</{element.name}>\n'

eveai_workers/Processors/pdf_processor.py

@@ -0,0 +1,236 @@
+import io
+import pdfplumber
+from flask import current_app
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+import re
+from langchain_core.runnables import RunnablePassthrough
+
+from common.extensions import minio_client
+from common.utils.model_utils import create_language_template
+from .processor import Processor
+from common.utils.business_event_context import current_event
+
+
+class PDFProcessor(Processor):
+    def __init__(self, tenant, model_variables, document_version):
+        super().__init__(tenant, model_variables, document_version)
+        # PDF-specific initialization
+        self.chunk_size = model_variables['processing_chunk_size']
+        self.chunk_overlap = model_variables['processing_chunk_overlap']
+        self.min_chunk_size = model_variables['processing_min_chunk_size']
+        self.max_chunk_size = model_variables['processing_max_chunk_size']
+
+    def process(self):
+        self._log("Starting PDF processing")
+        try:
+            file_data = minio_client.download_document_file(
+                self.tenant.id,
+                self.document_version.doc_id,
+                self.document_version.language,
+                self.document_version.id,
+                self.document_version.file_name
+            )
+
+            with current_event.create_span("PDF Extraction"):
+                extracted_content = self._extract_content(file_data)
+                structured_content, title = self._structure_content(extracted_content)
+
+            with current_event.create_span("Markdown Generation"):
+                llm_chunks = self._split_content_for_llm(structured_content)
+                markdown = self._process_chunks_with_llm(llm_chunks)
+                self._save_markdown(markdown)
+            self._log("Finished processing PDF")
+            return markdown, title
+        except Exception as e:
+            self._log(f"Error processing PDF: {str(e)}", level='error')
+            raise
+
+    def _extract_content(self, file_data):
+        extracted_content = []
+        with pdfplumber.open(io.BytesIO(file_data)) as pdf:
+            figure_counter = 1
+            for page_num, page in enumerate(pdf.pages):
+                self._log(f"Extracting content from page {page_num + 1}")
+                page_content = {
+                    'text': page.extract_text(),
+                    'figures': self._extract_figures(page, page_num, figure_counter),
+                    'tables': self._extract_tables(page)
+                }
+                if self.embed_tuning:
+                    self._log(f'Extracted PDF Content for page {page_num + 1}')
+                    self._log(f"{page_content }")
+                figure_counter += len(page_content['figures'])
+                extracted_content.append(page_content)
+
+            # if self.embed_tuning:
+            #     current_app.embed_tuning_logger.debug(f'Extracted PDF Content')
+            #     current_app.embed_tuning_logger.debug(f'---------------------')
+            #     current_app.embed_tuning_logger.debug(f'Page: {page_content}')
+            #     current_app.embed_tuning_logger.debug(f'End of Extracted PDF Content')
+            #     current_app.embed_tuning_logger.debug(f'----------------------------')
+
+        return extracted_content
+
+    def _extract_figures(self, page, page_num, figure_counter):
+        figures = []
+        # Omit figure processing for now!
+        # for img in page.images:
+        #     try:
+        #         # Try to get the bbox, use full page dimensions if not available
+        #         bbox = img.get('bbox', (0, 0, page.width, page.height))
+        #
+        #         figure = {
+        #             'figure_number': figure_counter,
+        #             'filename': f"figure_{page_num + 1}_{figure_counter}.png",
+        #             'caption': self._find_figure_caption(page, bbox)
+        #         }
+        #
+        #         # Extract the figure as an image
+        #         figure_image = page.within_bbox(bbox).to_image()
+        #
+        #         # Save the figure using MinIO
+        #         with io.BytesIO() as output:
+        #             figure_image.save(output, format='PNG')
+        #             output.seek(0)
+        #             minio_client.upload_document_file(
+        #                 self.tenant.id,
+        #                 self.document_version.doc_id,
+        #                 self.document_version.language,
+        #                 self.document_version.id,
+        #                 figure['filename'],
+        #                 output.getvalue()
+        #             )
+        #
+        #         figures.append(figure)
+        #         figure_counter += 1
+        #     except Exception as e:
+        #         self._log(f"Error processing figure on page {page_num + 1}: {str(e)}", level='error')
+
+        return figures
+
+    def _find_figure_caption(self, page, bbox):
+        try:
+            # Look for text below the figure
+            caption_bbox = (bbox[0], bbox[3], bbox[2], min(bbox[3] + 50, page.height))
+            caption_text = page.crop(caption_bbox).extract_text()
+            if caption_text and caption_text.lower().startswith('figure'):
+                return caption_text
+        except Exception as e:
+            self._log(f"Error finding figure caption: {str(e)}", level='error')
+        return None
+
+    def _extract_tables(self, page):
+        tables = []
+        try:
+            for table in page.extract_tables():
+                if table:
+                    markdown_table = self._table_to_markdown(table)
+                    if markdown_table:  # Only add non-empty tables
+                        tables.append(markdown_table)
+        except Exception as e:
+            self._log(f"Error extracting tables from page: {str(e)}", level='error')
+        return tables
+
+    def _table_to_markdown(self, table):
+        if not table or not table[0]:  # Check if table is empty or first row is empty
+            return ""  # Return empty string for empty tables
+
+        def clean_cell(cell):
+            if cell is None:
+                return ""  # Convert None to empty string
+            return str(cell).replace("|", "\\|")  # Escape pipe characters and convert to string
+
+        header = [clean_cell(cell) for cell in table[0]]
+        markdown = "| " + " | ".join(header) + " |\n"
+        markdown += "| " + " | ".join(["---"] * len(header)) + " |\n"
+
+        for row in table[1:]:
+            cleaned_row = [clean_cell(cell) for cell in row]
+            markdown += "| " + " | ".join(cleaned_row) + " |\n"
+
+        return markdown
+
+    def _structure_content(self, extracted_content):
+        structured_content = ""
+        title = "Untitled Document"
+        current_heading_level = 0
+        heading_pattern = re.compile(r'^(\d+(\.\d+)*\.?\s*)?(.+)$')
+
+        def identify_heading(text):
+            match = heading_pattern.match(text.strip())
+            if match:
+                numbering, _, content = match.groups()
+                if numbering:
+                    level = numbering.count('.') + 1
+                    return level, f"{numbering}{content}"
+                else:
+                    return 1, content  # Assume it's a top-level heading if no numbering
+            return 0, text  # Not a heading
+
+        for page in extracted_content:
+            # Assume the title is on the first page
+            if page == extracted_content[0]:
+                lines = page.get('text', '').split('\n')
+                if lines:
+                    title = lines[0].strip()  # Use the first non-empty line as the title
+
+            # Process text
+            paragraphs = page['text'].split('\n\n')
+
+            for para in paragraphs:
+                lines = para.strip().split('\n')
+                if len(lines) == 1:  # Potential heading
+                    level, text = identify_heading(lines[0])
+                    if level > 0:
+                        heading_marks = '#' * level
+                        structured_content += f"\n\n{heading_marks} {text}\n\n"
+                        if level == 1 and not title:
+                            title = text  # Use the first top-level heading as the title if not set
+                    else:
+                        structured_content += f"{para}\n\n"  # Treat as normal paragraph
+                else:
+                    structured_content += f"{para}\n\n"  # Multi-line paragraph
+
+            # Process figures
+            for figure in page.get('figures', []):
+                structured_content += f"\n\n![Figure {figure['figure_number']}]({figure['filename']})\n\n"
+                if figure['caption']:
+                    structured_content += f"*Figure {figure['figure_number']}: {figure['caption']}*\n\n"
+
+            # Add tables
+            if 'tables' in page:
+                for table in page['tables']:
+                    structured_content += f"\n{table}\n"
+
+        if self.embed_tuning:
+            self._save_intermediate(structured_content, "structured_content.md")
+
+        return structured_content, title
+
+    def _split_content_for_llm(self, content):
+        text_splitter = RecursiveCharacterTextSplitter(
+            chunk_size=self.chunk_size,
+            chunk_overlap=self.chunk_overlap,
+            length_function=len,
+            separators=["\n\n", "\n", " ", ""]
+        )
+        return text_splitter.split_text(content)
+
+    def _process_chunks_with_llm(self, chunks):
+        llm = self.model_variables['llm']
+        template = self.model_variables['pdf_parse_template']
+        pdf_prompt = ChatPromptTemplate.from_template(template)
+        setup = RunnablePassthrough()
+        output_parser = StrOutputParser()
+        chain = setup | pdf_prompt | llm | output_parser
+
+        markdown_chunks = []
+        for chunk in chunks:
+            input = {"pdf_content": chunk}
+            result = chain.invoke(input)
+            result = self._clean_markdown(result)
+            markdown_chunks.append(result)
+
+        return "\n\n".join(markdown_chunks)

eveai_workers/Processors/processor.py

@@ -0,0 +1,52 @@
+from abc import ABC, abstractmethod
+from flask import current_app
+from common.extensions import minio_client
+
+
+class Processor(ABC):
+    def __init__(self, tenant, model_variables, document_version):
+        self.tenant = tenant
+        self.model_variables = model_variables
+        self.document_version = document_version
+        self.embed_tuning = model_variables['embed_tuning']
+
+    @abstractmethod
+    def process(self):
+        pass
+
+    def _save_markdown(self, markdown):
+        markdown_filename = f"{self.document_version.id}.md"
+        minio_client.upload_document_file(
+            self.tenant.id,
+            self.document_version.doc_id,
+            self.document_version.language,
+            self.document_version.id,
+            markdown_filename,
+            markdown.encode('utf-8')
+        )
+
+    def _log(self, message, level='debug'):
+        logger = current_app.logger
+        log_method = getattr(logger, level)
+        log_method(
+            f"{self.__class__.__name__} - Tenant {self.tenant.id}, Document {self.document_version.id}: {message}")
+
+    def _save_intermediate(self, content, filename):
+        minio_client.upload_document_file(
+            self.tenant.id,
+            self.document_version.doc_id,
+            self.document_version.language,
+            self.document_version.id,
+            filename,
+            content.encode('utf-8')
+        )
+
+    def _clean_markdown(self, markdown):
+        markdown = markdown.strip()
+        if markdown.startswith("```markdown"):
+            markdown = markdown[len("```markdown"):].strip()
+        if markdown.endswith("```"):
+            markdown = markdown[:-3].strip()
+
+        return markdown
+

eveai_workers/Processors/srt_processor.py

@@ -0,0 +1,34 @@
+from common.extensions import minio_client
+from .transcription_processor import TranscriptionProcessor
+import re
+
+
+class SRTProcessor(TranscriptionProcessor):
+    def _get_transcription(self):
+        file_data = minio_client.download_document_file(
+            self.tenant.id,
+            self.document_version.doc_id,
+            self.document_version.language,
+            self.document_version.id,
+            self.document_version.file_name
+        )
+        srt_content = file_data.decode('utf-8')
+        return self._clean_srt(srt_content)
+
+    def _clean_srt(self, srt_content):
+        # Remove timecodes and subtitle numbers
+        cleaned_lines = []
+        for line in srt_content.split('\n'):
+            # Skip empty lines, subtitle numbers, and timecodes
+            if line.strip() and not line.strip().isdigit() and not re.match(
+                    r'\d{2}:\d{2}:\d{2},\d{3} --> \d{2}:\d{2}:\d{2},\d{3}', line):
+                cleaned_lines.append(line.strip())
+
+        # Join the cleaned lines
+        cleaned_text = ' '.join(cleaned_lines)
+
+        # Remove any extra spaces
+        cleaned_text = re.sub(r'\s+', ' ', cleaned_text).strip()
+
+        return cleaned_text
+

eveai_workers/Processors/transcription_processor.py

@@ -0,0 +1,94 @@
+# transcription_processor.py
+from langchain_text_splitters import RecursiveCharacterTextSplitter
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.runnables import RunnablePassthrough
+
+from common.utils.model_utils import create_language_template
+from .processor import Processor
+from common.utils.business_event_context import current_event
+
+
+class TranscriptionProcessor(Processor):
+    def __init__(self, tenant, model_variables, document_version):
+        super().__init__(tenant, model_variables, document_version)
+        self.chunk_size = model_variables['processing_chunk_size']
+        self.chunk_overlap = model_variables['processing_chunk_overlap']
+
+    def process(self):
+        self._log("Starting Transcription processing")
+        try:
+            with current_event.create_span("Transcription Generation"):
+                transcription = self._get_transcription()
+            with current_event.create_span("Markdown Generation"):
+                chunks = self._chunk_transcription(transcription)
+                markdown_chunks = self._process_chunks(chunks)
+                full_markdown = self._combine_markdown_chunks(markdown_chunks)
+                self._save_markdown(full_markdown)
+                self._log("Finished processing Transcription")
+            return full_markdown, self._extract_title_from_markdown(full_markdown)
+        except Exception as e:
+            self._log(f"Error processing Transcription: {str(e)}", level='error')
+            raise
+
+    def _get_transcription(self):
+        # This method should be implemented by child classes
+        raise NotImplementedError
+
+    def _chunk_transcription(self, transcription):
+        text_splitter = RecursiveCharacterTextSplitter(
+            chunk_size=self.chunk_size,
+            chunk_overlap=self.chunk_overlap,
+            length_function=len,
+            separators=["\n\n", "\n", " ", ""]
+        )
+        return text_splitter.split_text(transcription)
+
+    def _process_chunks(self, chunks):
+        self._log("Generating markdown from transcription")
+        llm = self.model_variables['llm']
+        template = self.model_variables['transcript_template']
+        language_template = create_language_template(template, self.document_version.language)
+        transcript_prompt = ChatPromptTemplate.from_template(language_template)
+        setup = RunnablePassthrough()
+        output_parser = StrOutputParser()
+
+        chain = setup | transcript_prompt | llm | output_parser
+
+        markdown_chunks = []
+        previous_part = ""
+        for i, chunk in enumerate(chunks):
+            self._log(f"Processing chunk {i + 1} of {len(chunks)}")
+            self._log(f"Previous part: {previous_part}")
+            input_transcript = {
+                'transcript': chunk,
+                'previous_part': previous_part
+            }
+            markdown = chain.invoke(input_transcript)
+            markdown = self._clean_markdown(markdown)
+            markdown_chunks.append(markdown)
+
+            # Extract the last part for the next iteration
+            lines = markdown.split('\n')
+            last_header = None
+            for line in reversed(lines):
+                if line.startswith('#'):
+                    last_header = line
+                    break
+            if last_header:
+                header_index = lines.index(last_header)
+                previous_part = '\n'.join(lines[header_index:])
+            else:
+                previous_part = lines[-1] if lines else ""
+
+        return markdown_chunks
+
+    def _combine_markdown_chunks(self, markdown_chunks):
+        return "\n\n".join(markdown_chunks)
+
+    def _extract_title_from_markdown(self, markdown):
+        lines = markdown.split('\n')
+        for line in lines:
+            if line.startswith('# '):
+                return line[2:].strip()
+        return "Untitled Transcription"

eveai_workers/tasks.py

@@ -1,26 +1,16 @@
 import io
 import os
 from datetime import datetime as dt, timezone as tz
-import subprocess
 
-
-import gevent
-from bs4 import BeautifulSoup
-import html
 from celery import states
 from flask import current_app
 # OpenAI imports
-from langchain.chains.summarize import load_summarize_chain
-from langchain.text_splitter import CharacterTextSplitter, MarkdownHeaderTextSplitter
+from langchain.text_splitter import MarkdownHeaderTextSplitter
 from langchain_core.exceptions import LangChainException
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnablePassthrough
 from sqlalchemy.exc import SQLAlchemyError
-from pytube import YouTube
-import PyPDF2
-from pydub import AudioSegment
-import tempfile
 
 from common.extensions import db, minio_client
 from common.models.document import DocumentVersion, Embedding
@@ -29,121 +19,95 @@ from common.utils.celery_utils import current_celery
 from common.utils.database import Database
 from common.utils.model_utils import select_model_variables, create_language_template
 from common.utils.os_utils import safe_remove, sync_folder
+from eveai_workers.Processors.audio_processor import AudioProcessor
+from eveai_workers.Processors.html_processor import HTMLProcessor
+from eveai_workers.Processors.pdf_processor import PDFProcessor
+from eveai_workers.Processors.srt_processor import SRTProcessor
+
+from common.utils.business_event import BusinessEvent
+from common.utils.business_event_context import current_event
+
+
+# Healthcheck task
+@current_celery.task(name='ping', queue='embeddings')
+def ping():
+    return 'pong'
 
 
 @current_celery.task(name='create_embeddings', queue='embeddings')
 def create_embeddings(tenant_id, document_version_id):
-    current_app.logger.info(f'Creating embeddings for tenant {tenant_id} on document version {document_version_id}.')
+    # BusinessEvent creates a context, which is why we need to use it with a with block
+    with BusinessEvent('Create Embeddings', tenant_id, document_version_id=document_version_id):
+        current_app.logger.info(f'Creating embeddings for tenant {tenant_id} on document version {document_version_id}')
+        try:
+            # Retrieve Tenant for which we are processing
+            tenant = Tenant.query.get(tenant_id)
+            if tenant is None:
+                raise Exception(f'Tenant {tenant_id} not found')
 
-    try:
-        # Retrieve Tenant for which we are processing
-        tenant = Tenant.query.get(tenant_id)
-        if tenant is None:
-            raise Exception(f'Tenant {tenant_id} not found')
+            # Ensure we are working in the correct database schema
+            Database(tenant_id).switch_schema()
 
-        # Ensure we are working in the correct database schema
-        Database(tenant_id).switch_schema()
+            # Select variables to work with depending on tenant and model
+            model_variables = select_model_variables(tenant)
+            current_app.logger.debug(f'Model variables: {model_variables}')
 
-        # Select variables to work with depending on tenant and model
-        model_variables = select_model_variables(tenant)
-        current_app.logger.debug(f'Model variables: {model_variables}')
+            # Retrieve document version to process
+            document_version = DocumentVersion.query.get(document_version_id)
+            if document_version is None:
+                raise Exception(f'Document version {document_version_id} not found')
 
-        # Retrieve document version to process
-        document_version = DocumentVersion.query.get(document_version_id)
-        if document_version is None:
-            raise Exception(f'Document version {document_version_id} not found')
+        except Exception as e:
+            current_app.logger.error(f'Create Embeddings request received '
+                                     f'for non existing document version {document_version_id} '
+                                     f'for tenant {tenant_id}, '
+                                     f'error: {e}')
+            raise
 
-    except Exception as e:
-        current_app.logger.error(f'Create Embeddings request received '
-                                 f'for non existing document version {document_version_id} '
-                                 f'for tenant {tenant_id}, '
-                                 f'error: {e}')
-        raise
+        try:
+            db.session.add(document_version)
 
-    try:
-        db.session.add(document_version)
+            # start processing
+            document_version.processing = True
+            document_version.processing_started_at = dt.now(tz.utc)
+            document_version.processing_finished_at = None
+            document_version.processing_error = None
 
-        # start processing
-        document_version.processing = True
-        document_version.processing_started_at = dt.now(tz.utc)
-        document_version.processing_finished_at = None
-        document_version.processing_error = None
+            db.session.commit()
+        except SQLAlchemyError as e:
+            current_app.logger.error(f'Unable to save Embedding status information '
+                                     f'in document version {document_version_id} '
+                                     f'for tenant {tenant_id}')
+            raise
 
-        db.session.commit()
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'Unable to save Embedding status information '
-                                 f'in document version {document_version_id} '
-                                 f'for tenant {tenant_id}')
-        raise
+        delete_embeddings_for_document_version(document_version)
 
-    delete_embeddings_for_document_version(document_version)
+        try:
+            match document_version.file_type:
+                case 'pdf':
+                    process_pdf(tenant, model_variables, document_version)
+                case 'html':
+                    process_html(tenant, model_variables, document_version)
+                case 'srt':
+                    process_srt(tenant, model_variables, document_version)
+                case 'mp4' | 'mp3' | 'ogg':
+                    process_audio(tenant, model_variables, document_version)
+                case _:
+                    raise Exception(f'No functionality defined for file type {document_version.file_type} '
+                                    f'for tenant {tenant_id} '
+                                    f'while creating embeddings for document version {document_version_id}')
+            current_event.log("Finished Embedding Creation Task")
 
-    try:
-        match document_version.file_type:
-            case 'pdf':
-                process_pdf(tenant, model_variables, document_version)
-            case 'html':
-                process_html(tenant, model_variables, document_version)
-            case 'youtube':
-                process_youtube(tenant, model_variables, document_version)
-            case _:
-                raise Exception(f'No functionality defined for file type {document_version.file_type} '
-                                f'for tenant {tenant_id} '
-                                f'while creating embeddings for document version {document_version_id}')
-
-    except Exception as e:
-        current_app.logger.error(f'Error creating embeddings for tenant {tenant_id} '
-                                 f'on document version {document_version_id} '
-                                 f'error: {e}')
-        document_version.processing = False
-        document_version.processing_finished_at = dt.now(tz.utc)
-        document_version.processing_error = str(e)[:255]
-        db.session.commit()
-        create_embeddings.update_state(state=states.FAILURE)
-        raise
-
-
-def process_pdf(tenant, model_variables, document_version):
-    file_data = minio_client.download_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                       document_version.id, document_version.file_name)
-
-    pdf_text = ''
-    pdf_reader = PyPDF2.PdfReader(io.BytesIO(file_data))
-    for page in pdf_reader.pages:
-        pdf_text += page.extract_text()
-
-    markdown = generate_markdown_from_pdf(tenant, model_variables, document_version, pdf_text)
-    markdown_file_name = f'{document_version.id}.md'
-    minio_client.upload_document_file(tenant.id, document_version.doc_id, document_version.language, document_version.id,
-                         markdown_file_name, markdown.encode())
-
-    potential_chunks = create_potential_chunks_for_markdown(tenant.id, document_version, markdown_file_name)
-    chunks = combine_chunks_for_markdown(potential_chunks, model_variables['min_chunk_size'],
-                                         model_variables['max_chunk_size'])
-
-    if len(chunks) > 1:
-        summary = summarize_chunk(tenant, model_variables, document_version, chunks[0])
-        document_version.system_context = f'Summary: {summary}\n'
-    else:
-        document_version.system_context = ''
-
-    enriched_chunks = enrich_chunks(tenant, document_version, chunks)
-    embeddings = embed_chunks(tenant, model_variables, document_version, enriched_chunks)
-
-    try:
-        db.session.add(document_version)
-        document_version.processing_finished_at = dt.now(tz.utc)
-        document_version.processing = False
-        db.session.add_all(embeddings)
-        db.session.commit()
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'Error saving embedding information for tenant {tenant.id} '
-                                 f'on HTML, document version {document_version.id}'
-                                 f'error: {e}')
-        raise
-
-    current_app.logger.info(f'Embeddings created successfully for tenant {tenant.id} '
-                            f'on document version {document_version.id} :-)')
+        except Exception as e:
+            current_app.logger.error(f'Error creating embeddings for tenant {tenant_id} '
+                                     f'on document version {document_version_id} '
+                                     f'error: {e}')
+            document_version.processing = False
+            document_version.processing_finished_at = dt.now(tz.utc)
+            document_version.processing_error = str(e)[:255]
+            db.session.commit()
+            create_embeddings.update_state(state=states.FAILURE)
+            raise
 
 
 def delete_embeddings_for_document_version(document_version):
@@ -158,43 +122,61 @@ def delete_embeddings_for_document_version(document_version):
         raise
 
 
+def process_pdf(tenant, model_variables, document_version):
+    with current_event.create_span("PDF Processing"):
+        processor = PDFProcessor(tenant, model_variables, document_version)
+        markdown, title = processor.process()
+
+    # Process markdown and embed
+    with current_event.create_span("Embedding"):
+        embed_markdown(tenant, model_variables, document_version, markdown, title)
+
+
 def process_html(tenant, model_variables, document_version):
-    file_data = minio_client.download_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                       document_version.id, document_version.file_name)
-    html_content = file_data.decode('utf-8')
+    with current_event.create_span("HTML Processing"):
+        processor = HTMLProcessor(tenant, model_variables, document_version)
+        markdown, title = processor.process()
 
-    # The tags to be considered can be dependent on the tenant
-    html_tags = model_variables['html_tags']
-    html_end_tags = model_variables['html_end_tags']
-    html_included_elements = model_variables['html_included_elements']
-    html_excluded_elements = model_variables['html_excluded_elements']
+    # Process markdown and embed
+    with current_event.create_span("Embedding"):
+        embed_markdown(tenant, model_variables, document_version, markdown, title)
 
-    extracted_html, title = parse_html(tenant, html_content, html_tags, included_elements=html_included_elements,
-                                       excluded_elements=html_excluded_elements)
 
-    extracted_file_name = f'{document_version.id}-extracted.html'
-    minio_client.upload_document_file(tenant.id, document_version.doc_id, document_version.language, document_version.id,
-                         extracted_file_name, extracted_html.encode())
+def process_audio(tenant, model_variables, document_version):
+    with current_event.create_span("Audio Processing"):
+        processor = AudioProcessor(tenant, model_variables, document_version)
+        markdown, title = processor.process()
 
-    markdown = generate_markdown_from_html(tenant, model_variables, document_version, extracted_html)
-    markdown_file_name = f'{document_version.id}.md'
-    minio_client.upload_document_file(tenant.id, document_version.doc_id, document_version.language, document_version.id,
-                         markdown_file_name, markdown.encode())
+    # Process markdown and embed
+    with current_event.create_span("Embedding"):
+        embed_markdown(tenant, model_variables, document_version, markdown, title)
 
-    potential_chunks = create_potential_chunks_for_markdown(tenant.id, document_version, markdown_file_name)
+
+def process_srt(tenant, model_variables, document_version):
+    with current_event.create_span("SRT Processing"):
+        processor = SRTProcessor(tenant, model_variables, document_version)
+        markdown, title = processor.process()
+
+    # Process markdown and embed
+    with current_event.create_span("Embedding"):
+        embed_markdown(tenant, model_variables, document_version, markdown, title)
+
+
+def embed_markdown(tenant, model_variables, document_version, markdown, title):
+    # Create potential chunks
+    potential_chunks = create_potential_chunks_for_markdown(tenant.id, document_version, f"{document_version.id}.md")
+
+    # Combine chunks for embedding
     chunks = combine_chunks_for_markdown(potential_chunks, model_variables['min_chunk_size'],
                                          model_variables['max_chunk_size'])
 
-    if len(chunks) > 1:
-        summary = summarize_chunk(tenant, model_variables, document_version, chunks[0])
-        document_version.system_context = (f'Title: {title}\n'
-                                           f'Summary: {summary}\n')
-    else:
-        document_version.system_context = (f'Title: {title}\n')
+    # Enrich chunks
+    enriched_chunks = enrich_chunks(tenant, model_variables, document_version, title, chunks)
 
-    enriched_chunks = enrich_chunks(tenant, document_version, title, chunks)
+    # Create embeddings
     embeddings = embed_chunks(tenant, model_variables, document_version, enriched_chunks)
 
+    # Update document version and save embeddings
     try:
         db.session.add(document_version)
         document_version.processing_finished_at = dt.now(tz.utc)
@@ -211,18 +193,32 @@ def process_html(tenant, model_variables, document_version):
                             f'on document version {document_version.id} :-)')
 
 
-def enrich_chunks(tenant, document_version, title, chunks):
+def enrich_chunks(tenant, model_variables, document_version, title, chunks):
+    current_event.log("Starting Enriching Chunks Processing")
     current_app.logger.debug(f'Enriching chunks for tenant {tenant.id} '
                              f'on document version {document_version.id}')
-    current_app.logger.debug(f'Nr of chunks: {len(chunks)}')
+
+    summary = ''
+    if len(chunks) > 1:
+        summary = summarize_chunk(tenant, model_variables, document_version, chunks[0])
+
     chunk_total_context = (f'Filename: {document_version.file_name}\n'
                            f'User Context:\n{document_version.user_context}\n\n'
-                           f'{document_version.system_context}\n\n')
+                           f'User Metadata:\n{document_version.user_metadata}\n\n'
+                           f'Title: {title}\n'
+                           f'Summary:\n{summary}\n'
+                           f'System Context:\n{document_version.system_context}\n\n'
+                           f'System Metadata:\n{document_version.system_metadata}\n\n'
+                           )
     enriched_chunks = []
     initial_chunk = (f'Filename: {document_version.file_name}\n'
                      f'User Context:\n{document_version.user_context}\n\n'
+                     f'User Metadata:\n{document_version.user_metadata}\n\n'
                      f'Title: {title}\n'
-                     f'{chunks[0]}')
+                     f'System Context:\n{document_version.system_context}\n\n'
+                     f'System Metadata:\n{document_version.system_metadata}\n\n'
+                     f'{chunks[0]}'
+                     )
 
     enriched_chunks.append(initial_chunk)
     for chunk in chunks[1:]:
@@ -231,45 +227,13 @@ def enrich_chunks(tenant, document_version, title, chunks):
 
     current_app.logger.debug(f'Finished enriching chunks for tenant {tenant.id} '
                              f'on document version {document_version.id}')
+    current_event.log("Finished Enriching Chunks Processing")
 
     return enriched_chunks
 
 
-def generate_markdown_from_html(tenant, model_variables, document_version, html_content):
-    current_app.logger.debug(f'Generating Markdown from HTML for tenant {tenant.id} '
-                             f'on document version {document_version.id}')
-    llm = model_variables['llm']
-    template = model_variables['html_parse_template']
-    parse_prompt = ChatPromptTemplate.from_template(template)
-    setup = RunnablePassthrough()
-    output_parser = StrOutputParser()
-
-    chain = setup | parse_prompt | llm | output_parser
-    input_html = {"html": html_content}
-
-    markdown = chain.invoke(input_html)
-
-    return markdown
-
-
-def generate_markdown_from_pdf(tenant, model_variables, document_version, pdf_content):
-    current_app.logger.debug(f'Generating Markdown from PDF for tenant {tenant.id} '
-                             f'on document version {document_version.id}')
-    llm = model_variables['llm']
-    template = model_variables['pdf_parse_template']
-    parse_prompt = ChatPromptTemplate.from_template(template)
-    setup = RunnablePassthrough()
-    output_parser = StrOutputParser()
-
-    chain = setup | parse_prompt | llm | output_parser
-    input_pdf = {"pdf_content": pdf_content}
-
-    markdown = chain.invoke(input_pdf)
-
-    return markdown
-
-
 def summarize_chunk(tenant, model_variables, document_version, chunk):
+    current_event.log("Starting Summarizing Chunk")
     current_app.logger.debug(f'Summarizing chunk for tenant {tenant.id} '
                              f'on document version {document_version.id}')
     llm = model_variables['llm']
@@ -287,6 +251,7 @@ def summarize_chunk(tenant, model_variables, document_version, chunk):
         summary = chain.invoke({"text": chunk})
         current_app.logger.debug(f'Finished summarizing chunk for tenant {tenant.id} '
                                  f'on document version {document_version.id}.')
+        current_event.log("Finished Summarizing Chunk")
         return summary
     except LangChainException as e:
         current_app.logger.error(f'Error creating summary for chunk enrichment for tenant {tenant.id} '
@@ -296,6 +261,7 @@ def summarize_chunk(tenant, model_variables, document_version, chunk):
 
 
 def embed_chunks(tenant, model_variables, document_version, chunks):
+    current_event.log("Starting Embedding Chunks Processing")
     current_app.logger.debug(f'Embedding chunks for tenant {tenant.id} '
                              f'on document version {document_version.id}')
     embedding_model = model_variables['embedding_model']
@@ -320,278 +286,20 @@ def embed_chunks(tenant, model_variables, document_version, chunks):
         new_embedding.embedding = embedding
         new_embeddings.append(new_embedding)
 
+    current_app.logger.debug(f'Finished embedding chunks for tenant {tenant.id} ')
+
     return new_embeddings
 
 
-def parse_html(tenant, html_content, tags, included_elements=None, excluded_elements=None):
-    soup = BeautifulSoup(html_content, 'html.parser')
-    extracted_html = ''
-
-    if included_elements:
-        elements_to_parse = soup.find_all(included_elements)
-    else:
-        elements_to_parse = [soup]  # parse the entire document if no included_elements specified
-
+def log_parsing_info(tenant, tags, included_elements, excluded_elements, excluded_classes, elements_to_parse):
     if tenant.embed_tuning:
         current_app.embed_tuning_logger.debug(f'Tags to parse: {tags}')
         current_app.embed_tuning_logger.debug(f'Included Elements: {included_elements}')
-        current_app.embed_tuning_logger.debug(f'Included Elements: {len(included_elements)}')
         current_app.embed_tuning_logger.debug(f'Excluded Elements: {excluded_elements}')
+        current_app.embed_tuning_logger.debug(f'Excluded Classes: {excluded_classes}')
         current_app.embed_tuning_logger.debug(f'Found {len(elements_to_parse)} elements to parse')
         current_app.embed_tuning_logger.debug(f'First element to parse: {elements_to_parse[0]}')
 
-    # Iterate through the found included elements
-    for element in elements_to_parse:
-        # Find all specified tags within each included element
-        for sub_element in element.find_all(tags):
-            if tenant.embed_tuning:
-                current_app.embed_tuning_logger.debug(f'Found element: {sub_element.name}')
-            if excluded_elements and sub_element.find_parent(excluded_elements):
-                continue  # Skip this sub_element if it's within any of the excluded_elements
-            extracted_html += f'<{sub_element.name}>{sub_element.get_text(strip=True)}</{sub_element.name}>\n'
-
-    title = soup.find('title').get_text(strip=True)
-
-    return extracted_html, title
-
-
-def process_youtube(tenant, model_variables, document_version):
-    base_path = os.path.join(current_app.config['UPLOAD_FOLDER'],
-                             document_version.file_location)
-    download_file_name = f'{document_version.id}.mp4'
-    compressed_file_name = f'{document_version.id}.mp3'
-    transcription_file_name = f'{document_version.id}.txt'
-    markdown_file_name = f'{document_version.id}.md'
-
-    # Remove existing files (in case of a re-processing of the file
-    minio_client.delete_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                      document_version.id, download_file_name)
-    minio_client.delete_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                      document_version.id, compressed_file_name)
-    minio_client.delete_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                      document_version.id, transcription_file_name)
-    minio_client.delete_document_file(tenant.id, document_version.doc_id, document_version.language,
-                                      document_version.id, markdown_file_name)
-
-    of, title, description, author = download_youtube(document_version.url, tenant.id, document_version,
-                                                      download_file_name)
-    document_version.system_context = f'Title: {title}\nDescription: {description}\nAuthor: {author}'
-    compress_audio(tenant.id, document_version, download_file_name, compressed_file_name)
-    transcribe_audio(tenant.id, document_version, compressed_file_name, transcription_file_name, model_variables)
-    annotate_transcription(tenant, document_version, transcription_file_name, markdown_file_name, model_variables)
-
-    potential_chunks = create_potential_chunks_for_markdown(tenant.id, document_version, markdown_file_name)
-    actual_chunks = combine_chunks_for_markdown(potential_chunks, model_variables['min_chunk_size'],
-                                                model_variables['max_chunk_size'])
-
-    enriched_chunks = enrich_chunks(tenant, document_version, actual_chunks)
-    embeddings = embed_chunks(tenant, model_variables, document_version, enriched_chunks)
-
-    try:
-        db.session.add(document_version)
-        document_version.processing_finished_at = dt.now(tz.utc)
-        document_version.processing = False
-        db.session.add_all(embeddings)
-        db.session.commit()
-    except SQLAlchemyError as e:
-        current_app.logger.error(f'Error saving embedding information for tenant {tenant.id} '
-                                 f'on Youtube document version {document_version.id}'
-                                 f'error: {e}')
-        raise
-
-    current_app.logger.info(f'Embeddings created successfully for tenant {tenant.id} '
-                            f'on Youtube document version {document_version.id} :-)')
-
-
-def download_youtube(url, tenant_id, document_version, file_name):
-    try:
-        current_app.logger.info(f'Downloading YouTube video: {url} for tenant: {tenant_id}')
-        yt = YouTube(url)
-        stream = yt.streams.get_audio_only()
-
-        with tempfile.NamedTemporaryFile(delete=False) as temp_file:
-            stream.download(output_path=temp_file.name)
-            with open(temp_file.name, 'rb') as f:
-                file_data = f.read()
-
-        minio_client.upload_document_file(tenant_id, document_version.doc_id, document_version.language, document_version.id,
-                             file_name, file_data)
-
-        current_app.logger.info(f'Downloaded YouTube video: {url} for tenant: {tenant_id}')
-        return file_name, yt.title, yt.description, yt.author
-    except Exception as e:
-        current_app.logger.error(f'Error downloading YouTube video: {url} for tenant: {tenant_id} with error: {e}')
-        raise
-
-
-def compress_audio(tenant_id, document_version, input_file, output_file):
-    try:
-        current_app.logger.info(f'Compressing audio for tenant: {tenant_id}')
-
-        input_data = minio_client.download_document_file(tenant_id, document_version.doc_id, document_version.language,
-                                            document_version.id, input_file)
-
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_input:
-            temp_input.write(input_data)
-            temp_input.flush()
-
-            with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as temp_output:
-                result = subprocess.run(
-                    ['ffmpeg', '-i', temp_input.name, '-b:a', '64k', '-f', 'mp3', temp_output.name],
-                    capture_output=True,
-                    text=True
-                )
-
-                if result.returncode != 0:
-                    raise Exception(f"Compression failed: {result.stderr}")
-
-                with open(temp_output.name, 'rb') as f:
-                    compressed_data = f.read()
-
-        minio_client.upload_document_file(tenant_id, document_version.doc_id, document_version.language, document_version.id,
-                             output_file, compressed_data)
-
-        current_app.logger.info(f'Compressed audio for tenant: {tenant_id}')
-    except Exception as e:
-        current_app.logger.error(f'Error compressing audio for tenant: {tenant_id} with error: {e}')
-        raise
-
-
-def transcribe_audio(tenant_id, document_version, input_file, output_file, model_variables):
-    try:
-        current_app.logger.info(f'Transcribing audio for tenant: {tenant_id}')
-        client = model_variables['transcription_client']
-        model = model_variables['transcription_model']
-
-        # Download the audio file from MinIO
-        audio_data = minio_client.download_document_file(tenant_id, document_version.doc_id, document_version.language,
-                                            document_version.id, input_file)
-
-        # Load the audio data into pydub
-        audio = AudioSegment.from_mp3(io.BytesIO(audio_data))
-
-        # Define segment length (e.g., 10 minutes)
-        segment_length = 10 * 60 * 1000  # 10 minutes in milliseconds
-
-        transcriptions = []
-
-        # Split audio into segments and transcribe each
-        for i, chunk in enumerate(audio[::segment_length]):
-            current_app.logger.debug(f'Transcribing chunk {i + 1} of {len(audio) // segment_length + 1}')
-
-            with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_audio:
-                chunk.export(temp_audio.name, format="mp3")
-
-                with open(temp_audio.name, 'rb') as audio_segment:
-                    transcription = client.audio.transcriptions.create(
-                        file=audio_segment,
-                        model=model,
-                        language=document_version.language,
-                        response_format='verbose_json',
-                    )
-
-                transcriptions.append(transcription.text)
-
-            os.unlink(temp_audio.name)  # Delete the temporary file
-
-        # Combine all transcriptions
-        full_transcription = " ".join(transcriptions)
-
-        # Upload the full transcription to MinIO
-        minio_client.upload_document_file(
-            tenant_id,
-            document_version.doc_id,
-            document_version.language,
-            document_version.id,
-            output_file,
-            full_transcription.encode('utf-8')
-        )
-
-        current_app.logger.info(f'Transcribed audio for tenant: {tenant_id}')
-    except Exception as e:
-        current_app.logger.error(f'Error transcribing audio for tenant: {tenant_id}, with error: {e}')
-        raise
-
-
-def annotate_transcription(tenant, document_version, input_file, output_file, model_variables):
-    try:
-        current_app.logger.debug(f'Annotating transcription for tenant {tenant.id}')
-
-        char_splitter = CharacterTextSplitter(separator='.',
-                                              chunk_size=model_variables['annotation_chunk_length'],
-                                              chunk_overlap=0)
-
-        headers_to_split_on = [
-            ("#", "Header 1"),
-            ("##", "Header 2"),
-        ]
-        markdown_splitter = MarkdownHeaderTextSplitter(headers_to_split_on, strip_headers=False)
-
-        llm = model_variables['llm']
-        template = model_variables['transcript_template']
-        language_template = create_language_template(template, document_version.language)
-        transcript_prompt = ChatPromptTemplate.from_template(language_template)
-        setup = RunnablePassthrough()
-        output_parser = StrOutputParser()
-
-        # Download the transcription file from MinIO
-        transcript_data = minio_client.download_document_file(tenant.id, document_version.doc_id,
-                                                              document_version.language, document_version.id,
-                                                              input_file)
-        transcript = transcript_data.decode('utf-8')
-
-        chain = setup | transcript_prompt | llm | output_parser
-
-        chunks = char_splitter.split_text(transcript)
-        all_markdown_chunks = []
-        last_markdown_chunk = ''
-        for chunk in chunks:
-            current_app.logger.debug(f'Annotating next chunk of {len(chunks)} for tenant {tenant.id}')
-            full_input = last_markdown_chunk + '\n' + chunk
-            if tenant.embed_tuning:
-                current_app.embed_tuning_logger.debug(f'Annotating chunk: \n '
-                                                      f'------------------\n'
-                                                      f'{full_input}\n'
-                                                      f'------------------\n')
-            input_transcript = {'transcript': full_input}
-            markdown = chain.invoke(input_transcript)
-            # GPT-4o returns some kind of content description: ```markdown <text> ```
-            if markdown.startswith("```markdown"):
-                markdown = "\n".join(markdown.strip().split("\n")[1:-1])
-            if tenant.embed_tuning:
-                current_app.embed_tuning_logger.debug(f'Markdown Received: \n '
-                                                      f'------------------\n'
-                                                      f'{markdown}\n'
-                                                      f'------------------\n')
-            md_header_splits = markdown_splitter.split_text(markdown)
-            markdown_chunks = [doc.page_content for doc in md_header_splits]
-            # claude-3.5-sonnet returns introductory text
-            if not markdown_chunks[0].startswith('#'):
-                markdown_chunks.pop(0)
-            last_markdown_chunk = markdown_chunks[-1]
-            last_markdown_chunk = "\n".join(markdown.strip().split("\n")[1:])
-            markdown_chunks.pop()
-            all_markdown_chunks += markdown_chunks
-
-        all_markdown_chunks += [last_markdown_chunk]
-
-        annotated_transcript = '\n'.join(all_markdown_chunks)
-
-        # Upload the annotated transcript to MinIO
-        minio_client.upload_document_file(
-            tenant.id,
-            document_version.doc_id,
-            document_version.language,
-            document_version.id,
-            output_file,
-            annotated_transcript.encode('utf-8')
-        )
-
-        current_app.logger.info(f'Annotated transcription for tenant {tenant.id}')
-    except Exception as e:
-        current_app.logger.error(f'Error annotating transcription for tenant {tenant.id}, with error: {e}')
-        raise
-
 
 def create_potential_chunks_for_markdown(tenant_id, document_version, input_file):
     try:
@@ -648,7 +356,3 @@ def combine_chunks_for_markdown(potential_chunks, min_chars, max_chars):
         actual_chunks.append(current_chunk)
 
     return actual_chunks
-    pass
-
-
-

integrations/Wordpress/eveai-chat-widget/eveai-chat_plugin.php

@@ -3,7 +3,7 @@
 Plugin Name: EveAI Chat Widget
 Plugin URI: https://askeveai.com/
 Description: Integrates the EveAI chat interface into your WordPress site.
-Version: 1.3.21
+Version: 1.5.0
 Author: Josako, Pieter Laroy
 Author URI: https://askeveai.com/about/
 */
@@ -18,15 +18,30 @@ function eveai_chat_enqueue_scripts() {
     wp_enqueue_style('eveai-chat-style', plugin_dir_url(__FILE__) . 'css/eveai-chat-style.css');
 }
 add_action('wp_enqueue_scripts', 'eveai_chat_enqueue_scripts');
+add_action('admin_enqueue_scripts', 'eveai_chat_enqueue_scripts');
 
 // Shortcode function
 function eveai_chat_shortcode($atts) {
-    $options = get_option('eveai_chat_options');
-    $tenant_id = esc_js($options['tenant_id']);
-    $api_key = esc_js($options['api_key']);
-    $domain = esc_js($options['domain']);
-    $language = esc_js($options['language']);
-    $supported_languages = esc_js($options['supported_languages']);
+    // Default values
+    $defaults = array(
+        'tenant_id' => '',
+        'api_key' => '',
+        'domain' => '',
+        'language' => 'en',
+        'supported_languages' => 'en,fr,de,es',
+        'server_url' => 'https://evie.askeveai.com'
+    );
+
+    // Merge provided attributes with defaults
+    $atts = shortcode_atts($defaults, $atts, 'eveai_chat');
+
+    // Sanitize inputs
+    $tenant_id = sanitize_text_field($atts['tenant_id']);
+    $api_key = sanitize_text_field($atts['api_key']);
+    $domain = esc_url_raw($atts['domain']);
+    $language = sanitize_text_field($atts['language']);
+    $supported_languages = sanitize_text_field($atts['supported_languages']);
+    $server_url = esc_url_raw($atts['server_url']);
 
     // Generate a unique ID for this instance of the chat widget
     $chat_id = 'chat-container-' . uniqid();
@@ -39,7 +54,8 @@ function eveai_chat_shortcode($atts) {
                 '$api_key',
                 '$domain',
                 '$language',
-                '$supported_languages'
+                '$supported_languages',
+                '$server_url'
             );
             eveAI.initializeChat('$chat_id');
         });
@@ -49,80 +65,3 @@ function eveai_chat_shortcode($atts) {
 }
 add_shortcode('eveai_chat', 'eveai_chat_shortcode');
 
-// Add admin menu
-function eveai_chat_admin_menu() {
-    add_options_page('EveAI Chat Settings', 'EveAI Chat', 'manage_options', 'eveai-chat-settings', 'eveai_chat_settings_page');
-}
-add_action('admin_menu', 'eveai_chat_admin_menu');
-
-// Settings page
-function eveai_chat_settings_page() {
-    ?>
-    <div class="wrap">
-        <h1>EveAI Chat Settings</h1>
-        <form method="post" action="options.php">
-            <?php
-            settings_fields('eveai_chat_options');
-            do_settings_sections('eveai-chat-settings');
-            submit_button();
-            ?>
-        </form>
-    </div>
-    <?php
-}
-
-// Register settings
-function eveai_chat_register_settings() {
-    register_setting('eveai_chat_options', 'eveai_chat_options', 'eveai_chat_options_validate');
-
-    add_settings_section('eveai_chat_main', 'Main Settings', 'eveai_chat_section_text', 'eveai-chat-settings');
-
-    add_settings_field('eveai_chat_tenant_id', 'Tenant ID', 'eveai_chat_tenant_id_input', 'eveai-chat-settings', 'eveai_chat_main');
-    add_settings_field('eveai_chat_api_key', 'API Key', 'eveai_chat_api_key_input', 'eveai-chat-settings', 'eveai_chat_main');
-    add_settings_field('eveai_chat_domain', 'Domain', 'eveai_chat_domain_input', 'eveai-chat-settings', 'eveai_chat_main');
-    add_settings_field('eveai_chat_language', 'Default Language', 'eveai_chat_language_input', 'eveai-chat-settings', 'eveai_chat_main');
-    add_settings_field('eveai_chat_supported_languages', 'Supported Languages', 'eveai_chat_supported_languages_input', 'eveai-chat-settings', 'eveai_chat_main');
-}
-add_action('admin_init', 'eveai_chat_register_settings');
-
-function eveai_chat_section_text() {
-    echo '<p>Enter your EveAI Chat configuration details below:</p>';
-}
-
-function eveai_chat_tenant_id_input() {
-    $options = get_option('eveai_chat_options');
-    echo "<input id='eveai_chat_tenant_id' name='eveai_chat_options[tenant_id]' type='text' value='" . esc_attr($options['tenant_id']) . "' />";
-}
-
-function eveai_chat_api_key_input() {
-    $options = get_option('eveai_chat_options');
-    echo "<input id='eveai_chat_api_key' name='eveai_chat_options[api_key]' type='password' value='" . esc_attr($options['api_key']) . "' />";
-}
-
-function eveai_chat_domain_input() {
-    $options = get_option('eveai_chat_options');
-    echo "<input id='eveai_chat_domain' name='eveai_chat_options[domain]' type='text' value='" . esc_attr($options['domain']) . "' />";
-}
-
-function eveai_chat_language_input() {
-    $options = get_option('eveai_chat_options');
-    echo "<input id='eveai_chat_language' name='eveai_chat_options[language]' type='text' value='" . esc_attr($options['language']) . "' />";
-}
-
-function eveai_chat_supported_languages_input() {
-    $options = get_option('eveai_chat_options');
-    $supported_languages = isset($options['supported_languages']) ? $options['supported_languages'] : 'en,fr,de,es';
-    echo "<input id='eveai_chat_supported_languages' name='eveai_chat_options[supported_languages]' type='text' value='" . esc_attr($supported_languages) . "' />";
-    echo "<p class='description'>Enter comma-separated language codes (e.g., en,fr,de,es)</p>";
-}
-
-
-function eveai_chat_options_validate($input) {
-    $new_input = array();
-    $new_input['tenant_id'] = sanitize_text_field($input['tenant_id']);
-    $new_input['api_key'] = sanitize_text_field($input['api_key']);
-    $new_input['domain'] = esc_url_raw($input['domain']);
-    $new_input['language'] = sanitize_text_field($input['language']);
-    $new_input['supported_languages'] = sanitize_text_field($input['supported_languages']);
-    return $new_input;
-}

integrations/Wordpress/eveai-chat-widget/js/eveai-chat-widget.js

@@ -1,6 +1,6 @@
 class EveAIChatWidget extends HTMLElement {
   static get observedAttributes() {
-    return ['tenant-id', 'api-key', 'domain', 'language', 'languages'];
+    return ['tenant-id', 'api-key', 'domain', 'language', 'languages', 'server-url'];
   }
 
   constructor() {
@@ -87,6 +87,7 @@ class EveAIChatWidget extends HTMLElement {
     this.language = this.getAttribute('language');
     const languageAttr = this.getAttribute('languages');
     this.languages = languageAttr ? languageAttr.split(',') : [];
+    this.serverUrl = this.getAttribute('server-url');
     this.currentLanguage = this.language;
     console.log('Updated attributes:', {
       tenantId: this.tenantId,
@@ -94,7 +95,8 @@ class EveAIChatWidget extends HTMLElement {
       domain: this.domain,
       language: this.language,
       currentLanguage: this.currentLanguage,
-      languages: this.languages
+      languages: this.languages,
+      serverUrl: this.serverUrl
     });
   }
 
@@ -104,14 +106,16 @@ class EveAIChatWidget extends HTMLElement {
     const domain = this.getAttribute('domain');
     const language = this.getAttribute('language');
     const languages = this.getAttribute('languages');
+    const serverUrl = this.getAttribute('server-url');
     console.log('Checking if all attributes are set:', {
       tenantId,
       apiKey,
       domain,
       language,
-      languages
+      languages,
+      serverUrl
     });
-    return tenantId && apiKey && domain && language && languages;
+    return tenantId && apiKey && domain && language && languages && serverUrl;
   }
 
   createLanguageDropdown() {
@@ -142,7 +146,7 @@ class EveAIChatWidget extends HTMLElement {
     console.log(`Initializing socket connection to Evie`);
 
     // Ensure apiKey is passed in the query parameters
-    this.socket = io('https://evie.askeveai.com', {
+    this.socket = io(this.serverUrl, {
       path: '/chat/socket.io/',
       transports: ['websocket', 'polling'],
       query: {
@@ -161,24 +165,32 @@ class EveAIChatWidget extends HTMLElement {
 
     this.socket.on('connect', (data) => {
       console.log('Socket connected OK');
+      console.log('Connect event data:', data);
+      console.log('Connect event this:', this);
       this.setStatusMessage('Connected to EveAI.');
       this.updateConnectionStatus(true);
       this.startHeartbeat();
-      if (data.room) {
+      if (data && data.room) {
         this.room = data.room;
         console.log(`Joined room: ${this.room}`);
+      } else {
+        console.log('Room information not received on connect');
       }
     });
 
     this.socket.on('authenticated', (data) => {
-      console.log('Authenticated event received: ', data);
+      console.log('Authenticated event received');
+      console.log('Authentication event data:', data);
+      console.log('Authentication event this:', this);
       this.setStatusMessage('Authenticated.');
-      if (data.token) {
-        this.jwtToken = data.token; // Store the JWT token received from the server
+      if (data && data.token) {
+        this.jwtToken = data.token;
       }
-      if (data.room) {
+      if (data && data.room) {
         this.room = data.room;
         console.log(`Confirmed room: ${this.room}`);
+      } else {
+        console.log('Room information not received on authentication');
       }
     });
 

integrations/Wordpress/eveai-chat-widget/js/eveai-sdk.js

@@ -1,13 +1,14 @@
 // static/js/eveai-sdk.js
 class EveAI {
-  constructor(tenantId, apiKey, domain, language, languages) {
+  constructor(tenantId, apiKey, domain, language, languages, serverUrl) {
     this.tenantId = tenantId;
     this.apiKey = apiKey;
     this.domain = domain;
     this.language = language;
     this.languages = languages;
+    this.serverUrl = serverUrl;
 
-    console.log('EveAI constructor:', { tenantId, apiKey, domain, language, languages });
+    console.log('EveAI constructor:', { tenantId, apiKey, domain, language, languages, serverUrl });
   }
 
   initializeChat(containerId) {
@@ -21,6 +22,7 @@ class EveAI {
         chatWidget.setAttribute('domain', this.domain);
         chatWidget.setAttribute('language', this.language);
         chatWidget.setAttribute('languages', this.languages);
+        chatWidget.setAttribute('server-url', this.serverUrl);
       });
     } else {
       console.error('Container not found');

integrations/Wordpress/eveai-chat-widget/readme.txt

@@ -3,7 +3,7 @@ Contributors: Josako
 Tags: chat, ai
 Requires at least: 5.0
 Tested up to: 5.9
-Stable tag: 1.3.0
+Stable tag: 1.5.0
 License: GPLv2 or later
 License URI: http://www.gnu.org/licenses/gpl-2.0.html
 
@@ -17,7 +17,18 @@ This plugin allows you to easily add the EveAI chat widget to your WordPress sit
 
 1. Upload the `eveai-chat-widget` folder to the `/wp-content/plugins/` directory
 2. Activate the plugin through the 'Plugins' menu in WordPress
-3. Go to Settings > EveAI Chat to configure your chat widget parameters
+3. Add EveAI Chat Widget to your page or post using the instructions below.
+
+== Usage ==
+
+To add an EveAI Chat Widget to your page or post, use the following shortcode:
+
+[eveai_chat tenant_id="YOUR_TENANT_ID" api_key="YOUR_API_KEY" domain="YOUR_DOMAIN" language="LANGUAGE_CODE" supported_languages="COMMA_SEPARATED_LANGUAGE_CODES" server_url="Server URL for Evie"]
+
+Example:
+[eveai_chat tenant_id="123456" api_key="your_api_key_here" domain="https://your-domain.com" language="en" supported_languages="en,fr,de,es" server_url="https://evie.askeveai.com"]
+
+You can add multiple chat widgets with different configurations by using the shortcode multiple times with different parameters.
 
 == Frequently Asked Questions ==
 
@@ -27,6 +38,16 @@ Contact your EveAI service provider to obtain your Tenant ID, API Key, and Domai
 
 == Changelog ==
 
+= 1.5.0 =
+* Allow for multiple servers to serve Evie
+
+= 1.4.1 - 1.4...=
+* Bug fixes
+
+= 1.4.0 =
+* Allow for multiple instances of Evie on the same website
+* Parametrization of the shortcode
+
 = 1.3.3 -  =
 * ensure all attributes (also height and supportedLanguages) are set before initializing the socket
 * Bugfixing

integrations/Wordpress/eveai_sync/README.md

@@ -0,0 +1,83 @@
+# EveAI Sync WordPress Plugin
+
+## Description
+
+EveAI Sync is a WordPress plugin that synchronizes your WordPress content (posts and pages) with the EveAI platform. It allows for seamless integration between your WordPress site and EveAI, ensuring that your content is always up-to-date on both platforms.
+
+## Features
+
+- Automatic synchronization of posts and pages with EveAI
+- Support for excluding specific categories or individual posts/pages from syncing
+- Bulk synchronization of existing content
+- Custom metadata synchronization
+- Easy-to-use admin interface for configuration
+
+## Installation
+
+1. Download the plugin zip file.
+2. Log in to your WordPress admin panel.
+3. Go to Plugins > Add New.
+4. Click on the "Upload Plugin" button.
+5. Select the downloaded zip file and click "Install Now".
+6. After installation, click "Activate Plugin".
+
+## Configuration
+
+1. Go to Settings > EveAI Sync in your WordPress admin panel.
+2. Enter your EveAI API URL, Tenant ID, and API Key.
+3. Configure any additional settings as needed.
+4. Click "Save Changes".
+
+## Usage
+
+- New posts and pages will automatically sync to EveAI when published.
+- Existing content can be synced using the "Bulk Sync" option in the settings.
+- To exclude a post or page from syncing, use the "Exclude from EveAI sync" checkbox in the post editor.
+- Categories can be excluded from syncing in the plugin settings.
+
+## Action Scheduler Dependency
+
+This plugin uses Action Scheduler for efficient background processing of synchronization tasks. Action Scheduler is typically included with WooCommerce, but the plugin can also function without it.
+
+### With Action Scheduler
+
+If Action Scheduler is available (either through WooCommerce or included with this plugin), EveAI Sync will use it for more reliable and efficient scheduling of synchronization tasks.
+
+### Without Action Scheduler
+
+If Action Scheduler is not available, the plugin will automatically fall back to using WordPress cron for scheduling tasks. This fallback ensures that the plugin remains functional, although with potentially less precise timing for background tasks.
+
+No additional configuration is needed; the plugin will automatically detect the presence or absence of Action Scheduler and adjust its behavior accordingly.
+
+## Versions
+
+### 1.0.x - Bugfixing Releases
+
+### 1.0.0 - Initial Release
+
+
+## Frequently Asked Questions
+
+**Q: How often does the plugin sync content?**
+A: The plugin syncs content immediately when a post or page is published or updated. For bulk syncs or when Action Scheduler is not available, the timing may vary based on WordPress cron execution.
+
+**Q: Can I sync only certain types of content?**
+A: By default, the plugin syncs all posts and pages. You can exclude specific categories or individual posts/pages from syncing.
+
+**Q: What happens if the sync fails?**
+A: The plugin will log any sync failures and attempt to retry. You can view sync status in the plugin's admin interface.
+
+**Q: Do I need to install Action Scheduler separately?**
+A: No, the plugin will work with or without Action Scheduler. If you have WooCommerce installed, Action Scheduler will be available automatically.
+
+## Support
+
+For support, please open an issue on our GitHub repository or contact our support team at support@eveai.com.
+
+## Contributing
+
+We welcome contributions to the EveAI Sync plugin. Please feel free to submit pull requests or open issues on our GitHub repository.
+
+## License
+
+This plugin is licensed under the GPL v2 or later.

integrations/Wordpress/eveai_sync/admin/css/eveai-admin.css

@@ -0,0 +1,70 @@
+.eveai-admin-wrap {
+    max-width: 800px;
+    margin: 20px auto;
+}
+
+.eveai-admin-header {
+    background-color: #fff;
+    padding: 20px;
+    border: 1px solid #ccc;
+    border-radius: 5px;
+    margin-bottom: 20px;
+}
+
+.eveai-admin-header h1 {
+    margin: 0;
+    color: #23282d;
+}
+
+.eveai-admin-content {
+    background-color: #fff;
+    padding: 20px;
+    border: 1px solid #ccc;
+    border-radius: 5px;
+}
+
+.eveai-form-group {
+    margin-bottom: 15px;
+}
+
+.eveai-form-group label {
+    display: block;
+    margin-bottom: 5px;
+    font-weight: bold;
+}
+
+.eveai-form-group input[type="text"],
+.eveai-form-group input[type="password"] {
+    width: 100%;
+    padding: 8px;
+    border: 1px solid #ddd;
+    border-radius: 4px;
+}
+
+.eveai-button {
+    background-color: #0085ba;
+    border-color: #0073aa #006799 #006799;
+    color: #fff;
+    text-decoration: none;
+    text-shadow: 0 -1px 1px #006799, 1px 0 1px #006799, 0 1px 1px #006799, -1px 0 1px #006799;
+    display: inline-block;
+    padding: 8px 12px;
+    border-radius: 3px;
+    cursor: pointer;
+}
+
+.eveai-button:hover {
+    background-color: #008ec2;
+}
+
+.eveai-category-list {
+    margin-top: 20px;
+}
+
+.eveai-category-item {
+    margin-bottom: 10px;
+}
+
+.eveai-category-item label {
+    font-weight: normal;
+}

integrations/Wordpress/eveai_sync/admin/js/eveai_admin.js

@@ -0,0 +1,49 @@
+jQuery(document).ready(function($) {
+    // Handle bulk sync button click
+    $('#eveai-bulk-sync').on('click', function(e) {
+        e.preventDefault();
+        if (confirm('Are you sure you want to start a bulk sync? This may take a while.')) {
+            $.ajax({
+                url: ajaxurl,
+                type: 'POST',
+                data: {
+                    action: 'eveai_bulk_sync',
+                    nonce: eveai_admin.nonce
+                },
+                success: function(response) {
+                    alert(response.data.message);
+                },
+                error: function() {
+                    alert('An error occurred. Please try again.');
+                }
+            });
+        }
+    });
+
+    // Handle category exclusion checkboxes
+    $('.eveai-category-exclude').on('change', function() {
+        var categoryId = $(this).val();
+        var isExcluded = $(this).is(':checked');
+
+        $.ajax({
+            url: ajaxurl,
+            type: 'POST',
+            data: {
+                action: 'eveai_toggle_category_exclusion',
+                category_id: categoryId,
+                is_excluded: isExcluded ? 1 : 0,
+                nonce: eveai_admin.nonce
+            },
+            success: function(response) {
+                if (response.success) {
+                    console.log('Category exclusion updated');
+                } else {
+                    alert('Failed to update category exclusion');
+                }
+            },
+            error: function() {
+                alert('An error occurred. Please try again.');
+            }
+        });
+    });
+});

integrations/Wordpress/eveai_sync/eveai_sync.php

@@ -0,0 +1,64 @@
+<?php
+/**
+ * Plugin Name: EveAI Sync
+ * Plugin URI: https://askeveai.com/
+ * Description: Synchronizes WordPress content with EveAI API.
+ * Version: 1.0.16
+ * Author: Josako, Pieter Laroy
+ * Author URI: https://askeveai.com/about/
+ * License: GPL v2 or later
+ * License URI: https://www.gnu.org/licenses/gpl-2.0.html
+ * Text Domain: eveai-sync
+ * Domain Path: /languages
+ */
+
+if (!defined('ABSPATH')) {
+    exit; // Exit if accessed directly
+}
+
+// Define plugin constants
+define('EVEAI_SYNC_VERSION', '1.0.0');
+define('EVEAI_SYNC_PLUGIN_DIR', plugin_dir_path(__FILE__));
+define('EVEAI_SYNC_PLUGIN_URL', plugin_dir_url(__FILE__));
+
+// Include the main plugin class
+require_once EVEAI_SYNC_PLUGIN_DIR . 'includes/class-eveai-sync.php';
+
+// Initialize the plugin
+function eveai_sync_init() {
+    $plugin = new EveAI_Sync();
+    $plugin->init();
+}
+add_action('plugins_loaded', 'eveai_sync_init');
+
+// Set up activation and deactivation hooks
+register_activation_hook(__FILE__, 'eveai_sync_activation');
+register_deactivation_hook(__FILE__, 'eveai_sync_deactivation');
+
+function eveai_sync_activation() {
+    // Other activation tasks...
+}
+
+function eveai_sync_deactivation() {
+    // Other deactivation tasks...
+}
+
+// Clean up meta when a post is permanently deleted
+function eveai_delete_post_meta($post_id) {
+    delete_post_meta($post_id, '_eveai_document_id');
+    delete_post_meta($post_id, '_eveai_document_version_id');
+}
+add_action('before_delete_post', 'eveai_delete_post_meta');
+
+// Display sync info in post
+function eveai_display_sync_info($post) {
+    $document_id = get_post_meta($post->ID, '_eveai_document_id', true);
+    $document_version_id = get_post_meta($post->ID, '_eveai_document_version_id', true);
+
+    echo '<div class="misc-pub-section">';
+    echo '<h4>EveAI Sync Info:</h4>';
+    echo 'Document ID: ' . ($document_id ? esc_html($document_id) : 'Not set') . '<br>';
+    echo 'Document Version ID: ' . ($document_version_id ? esc_html($document_version_id) : 'Not set');
+    echo '</div>';
+}
+add_action('post_submitbox_misc_actions', 'eveai_display_sync_info');

integrations/Wordpress/eveai_sync/includes/class-eveai-admin.php

@@ -0,0 +1,156 @@
+<?php
+
+class EveAI_Admin {
+    private $api;
+
+    public function __construct($api) {
+        $this->api = $api;
+    }
+
+    public function register_settings() {
+        register_setting('eveai_settings', 'eveai_api_url');
+        register_setting('eveai_settings', 'eveai_tenant_id');
+        register_setting('eveai_settings', 'eveai_api_key');
+        register_setting('eveai_settings', 'eveai_default_language');
+        register_setting('eveai_settings', 'eveai_excluded_categories');
+        register_setting('eveai_settings', 'eveai_excluded_categories');
+        register_setting('eveai_settings', 'eveai_access_token');
+        register_setting('eveai_settings', 'eveai_token_expiry');
+    }
+
+    public function add_admin_menu() {
+        add_options_page(
+            'EveAI Sync Settings',
+            'EveAI Sync',
+            'manage_options',
+            'eveai-sync',
+            array($this, 'render_settings_page')
+        );
+    }
+
+    public function render_settings_page() {
+        ?>
+        <div class="wrap">
+            <h1><?php echo esc_html(get_admin_page_title()); ?></h1>
+            <form action="options.php" method="post">
+                <?php
+                settings_fields('eveai_settings');
+                do_settings_sections('eveai-sync');
+                ?>
+                <table class="form-table">
+                    <tr valign="top">
+                        <th scope="row">API URL</th>
+                        <td><input type="text" name="eveai_api_url" value="<?php echo esc_attr(get_option('eveai_api_url')); ?>" style="width: 100%;" /></td>
+                    </tr>
+                    <tr valign="top">
+                        <th scope="row">Tenant ID</th>
+                        <td><input type="text" name="eveai_tenant_id" value="<?php echo esc_attr(get_option('eveai_tenant_id')); ?>" style="width: 100%;" /></td>
+                    </tr>
+                    <tr valign="top">
+                        <th scope="row">API Key</th>
+                        <td><input type="text" name="eveai_api_key" value="<?php echo esc_attr(get_option('eveai_api_key')); ?>" style="width: 100%;" /></td>
+                    </tr>
+                    <tr valign="top">
+                        <th scope="row">Default Language</th>
+                        <td><input type="text" name="eveai_default_language" value="<?php echo esc_attr(get_option('eveai_default_language', 'en')); ?>" style="width: 100%;" /></td>
+                    </tr>
+                    <tr valign="top">
+                        <th scope="row">Excluded Categories</th>
+                        <td>
+                            <input type="text" name="eveai_excluded_categories" value="<?php echo esc_attr(get_option('eveai_excluded_categories')); ?>" style="width: 100%;" />
+                            <p class="description">Enter a comma-separated list of category names to exclude from syncing.</p>
+                        </td>
+                    </tr>
+                </table>
+                <?php submit_button('Save Settings'); ?>
+            </form>
+
+            <h2>Bulk Sync</h2>
+            <p>Click the button below to start a bulk sync of all posts and pages to EveAI.</p>
+            <form method="post" action="">
+                <?php wp_nonce_field('eveai_bulk_sync', 'eveai_bulk_sync_nonce'); ?>
+                <input type="submit" name="eveai_bulk_sync" class="button button-primary" value="Start Bulk Sync">
+            </form>
+            <div id="eveai-sync-results" style="margin-top: 20px;"></div>
+        </div>
+        <script>
+        jQuery(document).ready(function($) {
+            $('form').on('submit', function(e) {
+                if ($(this).find('input[name="eveai_bulk_sync"]').length) {
+                    e.preventDefault();
+                    var $results = $('#eveai-sync-results');
+                    $results.html('<p>Starting bulk sync...</p>');
+                    $.ajax({
+                        url: ajaxurl,
+                        type: 'POST',
+                        data: {
+                            action: 'eveai_bulk_sync',
+                            nonce: '<?php echo wp_create_nonce('eveai_bulk_sync_ajax'); ?>'
+                        },
+                        success: function(response) {
+                            if (response.success) {
+                                var resultsHtml = '<h3>Sync Results:</h3><ul>';
+                                response.data.forEach(function(item) {
+                                    resultsHtml += '<li>' + item.title + ' (' + item.type + '): ' + item.status + '</li>';
+                                });
+                                resultsHtml += '</ul>';
+                                $results.html(resultsHtml);
+                            } else {
+                                $results.html('<p>Error: ' + response.data + '</p>');
+                            }
+                        },
+                        error: function() {
+                            $results.html('<p>An error occurred. Please try again.</p>');
+                        }
+                    });
+                }
+            });
+        });
+        </script>
+        <?php
+    }
+
+    public function handle_bulk_sync_ajax() {
+        check_ajax_referer('eveai_bulk_sync_ajax', 'nonce');
+
+        if (!current_user_can('manage_options')) {
+            wp_send_json_error('Insufficient permissions');
+            return;
+        }
+
+        $post_handler = new EveAI_Post_Handler($this->api);
+        $bulk_sync = new EveAI_Bulk_Sync($this->api, $post_handler);
+        $results = $bulk_sync->init_bulk_sync();
+
+        wp_send_json_success($results);
+    }
+
+    public function add_sync_meta_box() {
+        add_meta_box(
+            'eveai_sync_meta_box',
+            'EveAI Sync',
+            array($this, 'render_sync_meta_box'),
+            array('post', 'page'),
+            'side',
+            'default'
+        );
+    }
+
+    public function render_sync_meta_box($post) {
+        $excluded = get_post_meta($post->ID, '_eveai_exclude_sync', true);
+        wp_nonce_field('eveai_sync_meta_box', 'eveai_sync_meta_box_nonce');
+        ?>
+        <label>
+            <input type="checkbox" name="eveai_exclude_sync" value="1" <?php checked($excluded, '1'); ?>>
+            Exclude from EveAI sync
+        </label>
+        <?php
+    }
+
+    public function handle_bulk_sync() {
+        $post_handler = new EveAI_Post_Handler($this->api);
+        $bulk_sync = new EveAI_Bulk_Sync($this->api, $post_handler);
+        $bulk_sync->init_bulk_sync();
+        add_settings_error('eveai_messages', 'eveai_message', 'Bulk sync initiated successfully.', 'updated');
+    }
+}

integrations/Wordpress/eveai_sync/includes/class-eveai-api.php

@@ -0,0 +1,135 @@
+<?php
+
+class EveAI_API {
+    private $api_url;
+    private $tenant_id;
+    private $api_key;
+    private $access_token;
+    private $token_expiry;
+
+    public function __construct() {
+        $this->api_url = get_option('eveai_api_url');
+        $this->tenant_id = get_option('eveai_tenant_id');
+        $this->api_key = get_option('eveai_api_key');
+        $this->access_token = get_option('eveai_access_token');
+        $this->token_expiry = get_option('eveai_token_expiry', 0);
+    }
+
+    private function ensure_valid_token() {
+        if (empty($this->access_token) || time() > $this->token_expiry) {
+            $this->get_new_token();
+        }
+    }
+
+    private function get_new_token() {
+        $response = wp_remote_post($this->api_url . '/api/v1/auth/token', [
+            'body' => json_encode([
+                'tenant_id' => $this->tenant_id,
+                'api_key' => $this->api_key,
+            ]),
+            'headers' => [
+                'Content-Type' => 'application/json',
+            ],
+        ]);
+
+        if (is_wp_error($response)) {
+            throw new Exception('Failed to get token: ' . $response->get_error_message());
+        }
+
+        $body = wp_remote_retrieve_body($response);
+
+        // Check if the body is already an array (decoded JSON)
+        if (!is_array($body)) {
+            $body = json_decode($body, true);
+        }
+
+        if (empty($body['access_token'])) {
+            throw new Exception('Invalid token response');
+        }
+
+        $this->access_token = $body['access_token'];
+        // Use the expiration time from the API response, or default to 1 hour if not provided
+        $expires_in = isset($body['expires_in']) ? $body['expires_in'] : 3600;
+        $this->token_expiry = time() + $expires_in - 10; // Subtract 10 seconds to be safe
+
+        update_option('eveai_access_token', $this->access_token);
+        update_option('eveai_token_expiry', $this->token_expiry);
+    }
+
+    private function make_request($method, $endpoint, $data = null) {
+        $this->ensure_valid_token();
+
+        error_log('EveAI API Request: ' . $method . ' ' . $this->api_url . $endpoint);
+
+        $url = $this->api_url . $endpoint;
+
+        $args = array(
+            'method'  => $method,
+            'headers' => array(
+                'Content-Type' => 'application/json',
+                'Authorization' => 'Bearer ' . $this->access_token,
+            )
+        );
+
+        if ($data !== null) {
+            $args['body'] = json_encode($data);
+        }
+
+        $response = wp_remote_request($url, $args);
+
+        if (is_wp_error($response)) {
+            $error_message = $response->get_error_message();
+            error_log('EveAI API Error: ' . $error_message);
+            throw new Exception('API request failed: ' . $error_message);
+        }
+
+        $body = wp_remote_retrieve_body($response);
+        $status_code = wp_remote_retrieve_response_code($response);
+
+        error_log('EveAI API Response: ' . print_r($body, true));
+        error_log('EveAI API Status Code: ' . $status_code);
+
+        // Check if the body is already an array (decoded JSON)
+        if (!is_array($body)) {
+            $body = json_decode($body, true);
+        }
+
+        if ($status_code == 401) {
+            // Token might have expired, try to get a new one and retry the request
+            error_log('Token expired, trying to get a new one...');
+            $this->get_new_token();
+            return $this->make_request($method, $endpoint, $data);
+        }
+
+        if ($status_code >= 400) {
+            $error_message = isset($body['message']) ? $body['message'] : 'Unknown error';
+            error_log('EveAI API Error: ' . $error_message);
+            throw new Exception('API error: ' . $error_message);
+        }
+
+        return $body;
+    }
+
+    public function add_url($data) {
+        return $this->make_request('POST', '/api/v1/documents/add_url', $data);
+    }
+
+    public function update_document($document_id, $data) {
+        return $this->make_request('PUT', "/api/v1/documents/{$document_id}", $data);
+    }
+
+    public function invalidate_document($document_id) {
+        $data = array(
+            'valid_to' => gmdate('Y-m-d\TH:i:s\Z') // Current UTC time in ISO 8601 format
+        );
+        return $this->make_request('PUT', "/api/v1/documents/{$document_id}", $data);
+    }
+
+    public function refresh_document($document_id) {
+        return $this->make_request('POST', "/api/v1/documents/{$document_id}/refresh");
+    }
+
+    public function refresh_document_with_info($document_id, $data) {
+        return $this->make_request('POST', "/api/v1/documents/{$document_id}/refresh_with_info", $data);
+    }
+}

integrations/Wordpress/eveai_sync/includes/class-eveai-bulk-sync.php

@@ -0,0 +1,37 @@
+<?php
+
+class EveAI_Bulk_Sync {
+    private $api;
+    private $post_handler;
+
+    public function __construct($api, $post_handler) {
+        $this->api = $api;
+        $this->post_handler = $post_handler;
+    }
+
+    public function init_bulk_sync() {
+        $posts = get_posts(array(
+            'post_type' => array('post', 'page'),
+            'post_status' => 'publish',
+            'posts_per_page' => -1,
+        ));
+
+        $sync_results = array();
+
+        foreach ($posts as $post) {
+            $evie_id = get_post_meta($post->ID, '_eveai_document_id', true);
+            $evie_version_id = get_post_meta($post->ID, '_eveai_document_version_id', true);
+            $is_update = ($evie_id && $evie_version_id);
+
+            $result = $this->post_handler->sync_post($post->ID, $is_update);
+            $sync_results[] = array(
+                'id' => $post->ID,
+                'title' => $post->post_title,
+                'type' => $post->post_type,
+                'status' => $result ? 'success' : 'failed'
+            );
+        }
+
+        return $sync_results;
+    }
+}

integrations/Wordpress/eveai_sync/includes/class-eveai-post-handler.php

@@ -0,0 +1,214 @@
+<?php
+
+class EveAI_Post_Handler {
+    private $api;
+
+    public function __construct($api) {
+        $this->api = $api;
+    }
+
+    public function handle_post_save($post_id, $post, $update) {
+        // Verify if this is not an auto save routine.
+        if (defined('DOING_AUTOSAVE') && DOING_AUTOSAVE) return;
+
+        // Check if this is a revision
+        if (wp_is_post_revision($post_id)) return;
+
+        // Check if post type is one we want to sync
+        if (!in_array($post->post_type, ['post', 'page'])) return;
+
+        // Check if post status is published
+        if ($post->post_status != 'publish') return;
+
+        // Verify nonce
+        if (!isset($_POST['eveai_sync_meta_box_nonce']) || !wp_verify_nonce($_POST['eveai_sync_meta_box_nonce'], 'eveai_sync_meta_box')) {
+            return;
+        }
+
+        // Check permissions
+        if ('page' == $_POST['post_type']) {
+            if (!current_user_can('edit_page', $post_id)) return;
+        } else {
+            if (!current_user_can('edit_post', $post_id)) return;
+        }
+
+        // Check if we should sync this post
+        if (!$this->should_sync_post($post_id)) return;
+
+        // Check if this is a REST API request
+        if (defined('REST_REQUEST') && REST_REQUEST) {
+            error_log("EveAI: REST API request detected for post $post_id");
+        }
+
+        error_log('Handling post' . $post_id . 'save event with update: ' . $update);
+
+        // Check if we've already synced this post in this request
+        if (get_post_meta($post_id, '_eveai_syncing', true)) {
+            return;
+        }
+
+        // Set a flag to indicate we're syncing
+        update_post_meta($post_id, '_eveai_syncing', true);
+
+        $this->sync_post($post_id, $update);
+
+        // Remove the flag after syncing
+        delete_post_meta($post_id, '_eveai_syncing');
+    }
+
+    public function sync_post($post_id, $is_update) {
+        $evie_id = get_post_meta($post_id, '_eveai_document_id', true);
+
+        try {
+            if ($evie_id && $is_update) {
+                $old_data = $this->get_old_post_data($post_id);
+                $new_data = $this->prepare_post_data($post_id);
+
+                if ($this->has_metadata_changed($old_data, $new_data)) {
+                    $result = $this->refresh_document_with_info($evie_id, $new_data);
+                } else {
+                    $result = $this->refresh_document($evie_id);
+                }
+            } else {
+                $data = $this->prepare_post_data($post_id);
+                $result = $this->api->add_url($data);
+            }
+
+            if (isset($result['document_id']) && isset($result['document_version_id'])) {
+                update_post_meta($post_id, '_eveai_document_id', $result['document_id']);
+                update_post_meta($post_id, '_eveai_document_version_id', $result['document_version_id']);
+
+                // Add debugging
+                error_log("EveAI: Set document_id {$result['document_id']} and document_version_id {$result['document_version_id']} for post {$post_id}");
+            }
+            return true;
+        } catch (Exception $e) {
+            error_log('EveAI Sync Error: ' . $e->getMessage());
+            // Optionally, you can add an admin notice here
+            add_action('admin_notices', function() use ($e) {
+                echo '<div class="notice notice-error is-dismissible">';
+                echo '<p>EveAI Sync Error: ' . esc_html($e->getMessage()) . '</p>';
+                echo '</div>';
+            });
+            return false;
+        }
+
+        return false;
+    }
+
+    private function get_old_post_data($post_id) {
+        $post = get_post($post_id);
+        return array(
+            'name' => $post->post_title,
+            'system_metadata' => json_encode([
+                'post_id' => $post_id,
+                'type' => $post->post_type,
+                'author' => get_the_author_meta('display_name', $post->post_author),
+                'categories' => $post->post_type === 'post' ? wp_get_post_categories($post_id, array('fields' => 'names')) : [],
+                'tags' => $post->post_type === 'post' ? wp_get_post_tags($post_id, array('fields' => 'names')) : [],
+            ]),
+        );
+    }
+
+    private function has_metadata_changed($old_data, $new_data) {
+        return $old_data['name'] !== $new_data['name'] ||
+               $old_data['user_metadata'] !== $new_data['user_metadata'];
+    }
+
+    private function refresh_document_with_info($evie_id, $data) {
+        try {
+            return $this->api->refresh_document_with_info($evie_id, $data);
+        } catch (Exception $e) {
+            error_log('EveAI refresh with info error: ' . $e->getMessage());
+            return false;
+        }
+    }
+
+    private function refresh_document($evie_id) {
+        try {
+            return $this->api->refresh_document($evie_id);
+        } catch (Exception $e) {
+            error_log('EveAI refresh error: ' . $e->getMessage());
+            add_action('admin_notices', function() use ($e) {
+                echo '<div class="notice notice-error is-dismissible">';
+                echo '<p>EveAI Sync Error: ' . esc_html($e->getMessage()) . '</p>';
+                echo '</div>';
+            });
+            return false;
+        }
+    }
+
+    public function handle_post_delete($post_id) {
+        if ($evie_id) {
+            try {
+                $this->api->invalidate_document($evie_id);
+            } catch (Exception $e) {
+                error_log('EveAI invalidate error: ' . $e->getMessage());
+                add_action('admin_notices', function() use ($e) {
+                    echo '<div class="notice notice-error is-dismissible">';
+                    echo '<p>EveAI Sync Error: ' . esc_html($e->getMessage()) . '</p>';
+                    echo '</div>';
+                });
+            }
+        }
+    }
+
+    public function process_sync_queue() {
+        $queue = get_option('eveai_sync_queue', array());
+        foreach ($queue as $key => $item) {
+            $this->sync_post($item['post_id'], $item['is_update']);
+            unset($queue[$key]);
+        }
+        update_option('eveai_sync_queue', $queue);
+    }
+
+    private function should_sync_post($post_id) {
+        if (get_post_meta($post_id, '_eveai_exclude_sync', true)) {
+            return false;
+        }
+
+        $post_type = get_post_type($post_id);
+
+        if ($post_type === 'page') {
+            // Pages are always synced unless individually excluded
+            return true;
+        }
+
+        if ($post_type === 'post') {
+            $excluded_categories_string = get_option('eveai_excluded_categories', '');
+            $excluded_categories = array_map('trim', explode(',', $excluded_categories_string));
+
+            $post_categories = wp_get_post_categories($post_id, array('fields' => 'names'));
+            $post_tags = wp_get_post_tags($post_id, array('fields' => 'names'));
+
+            // Check if any of the post's categories or tags are not in the excluded list
+            $all_terms = array_merge($post_categories, $post_tags);
+            foreach ($all_terms as $term) {
+                if (!in_array($term, $excluded_categories)) {
+                    return true;
+                }
+            }
+        }
+
+        return false;
+    }
+
+    private function prepare_post_data($post_id) {
+        $post = get_post($post_id);
+        $data = array(
+            'url' => get_permalink($post_id),
+            'name' => $post->post_title,
+            'language' => get_option('eveai_default_language', 'en'),
+            'valid_from' => get_gmt_from_date($post->post_date, 'Y-m-d\TH:i:s\Z'),
+            'user_metadata' => json_encode([
+                'post_id' => $post_id,
+                'type' => $post->post_type,
+                'author' => get_the_author_meta('display_name', $post->post_author),
+                'categories' => $post->post_type === 'post' ? wp_get_post_categories($post_id, array('fields' => 'names')) : [],
+                'tags' => $post->post_type === 'post' ? wp_get_post_tags($post_id, array('fields' => 'names')) : [],
+            ]),
+        );
+
+        return $data;
+    }
+}

integrations/Wordpress/eveai_sync/includes/class-eveai-sync.php

@@ -0,0 +1,33 @@
+<?php
+
+class EveAI_Sync {
+    private $api;
+    private $post_handler;
+    private $admin;
+
+    public function init() {
+        $this->load_dependencies();
+        $this->setup_actions();
+    }
+
+    private function load_dependencies() {
+        require_once EVEAI_SYNC_PLUGIN_DIR . 'includes/class-eveai-api.php';
+        require_once EVEAI_SYNC_PLUGIN_DIR . 'includes/class-eveai-post-handler.php';
+        require_once EVEAI_SYNC_PLUGIN_DIR . 'includes/class-eveai-admin.php';
+        require_once EVEAI_SYNC_PLUGIN_DIR . 'includes/class-eveai-bulk-sync.php';
+
+        $this->api = new EveAI_API();
+        $this->post_handler = new EveAI_Post_Handler($this->api);
+        $this->admin = new EveAI_Admin($this->api);
+    }
+
+    private function setup_actions() {
+        add_action('save_post', array($this->post_handler, 'handle_post_save'), 10, 3);
+        add_action('before_delete_post', array($this->post_handler, 'handle_post_delete'));
+        add_action('admin_init', array($this->admin, 'register_settings'));
+        add_action('admin_menu', array($this->admin, 'add_admin_menu'));
+        add_action('add_meta_boxes', array($this->admin, 'add_sync_meta_box'));
+        add_action('eveai_sync_post', array($this->post_handler, 'sync_post'), 10, 2);
+        add_action('wp_ajax_eveai_bulk_sync', array($this->admin, 'handle_bulk_sync_ajax'));
+    }
+}

migrations/public/versions/083ccd8206ea_add_tenant_type.py

@@ -0,0 +1,32 @@
+"""Add Tenant Type
+
+Revision ID: 083ccd8206ea
+Revises: ce6f5b62bbfb
+Create Date: 2024-09-12 11:30:41.958117
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '083ccd8206ea'
+down_revision = 'ce6f5b62bbfb'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('type', sa.String(length=20), server_default='Active', nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.drop_column('type')
+
+    # ### end Alembic commands ###

migrations/public/versions/110be45f6e44_include_excluded_classes_for_tenant.py

@@ -0,0 +1,68 @@
+"""Include excluded_classes for Tenant
+
+Revision ID: 110be45f6e44
+Revises: 229774547fed
+Create Date: 2024-08-22 07:37:40.591220
+
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = '110be45f6e44'
+down_revision = '229774547fed'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('roles_users', schema=None) as batch_op:
+        batch_op.drop_constraint('roles_users_user_id_fkey', type_='foreignkey')
+        batch_op.drop_constraint('roles_users_role_id_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'role', ['role_id'], ['id'], referent_schema='public', ondelete='CASCADE')
+        batch_op.create_foreign_key(None, 'user', ['user_id'], ['id'], referent_schema='public', ondelete='CASCADE')
+
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('html_excluded_classes', postgresql.ARRAY(sa.String(length=200)), nullable=True))
+
+    with op.batch_alter_table('tenant_domain', schema=None) as batch_op:
+        batch_op.drop_constraint('tenant_domain_updated_by_fkey', type_='foreignkey')
+        batch_op.drop_constraint('tenant_domain_tenant_id_fkey', type_='foreignkey')
+        batch_op.drop_constraint('tenant_domain_created_by_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'user', ['updated_by'], ['id'], referent_schema='public')
+        batch_op.create_foreign_key(None, 'tenant', ['tenant_id'], ['id'], referent_schema='public')
+        batch_op.create_foreign_key(None, 'user', ['created_by'], ['id'], referent_schema='public')
+
+    with op.batch_alter_table('user', schema=None) as batch_op:
+        batch_op.drop_constraint('user_tenant_id_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'tenant', ['tenant_id'], ['id'], referent_schema='public')
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('user', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('user_tenant_id_fkey', 'tenant', ['tenant_id'], ['id'])
+
+    with op.batch_alter_table('tenant_domain', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('tenant_domain_created_by_fkey', 'user', ['created_by'], ['id'])
+        batch_op.create_foreign_key('tenant_domain_tenant_id_fkey', 'tenant', ['tenant_id'], ['id'])
+        batch_op.create_foreign_key('tenant_domain_updated_by_fkey', 'user', ['updated_by'], ['id'])
+
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.drop_column('html_excluded_classes')
+
+    with op.batch_alter_table('roles_users', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('roles_users_role_id_fkey', 'role', ['role_id'], ['id'], ondelete='CASCADE')
+        batch_op.create_foreign_key('roles_users_user_id_fkey', 'user', ['user_id'], ['id'], ondelete='CASCADE')
+
+    # ### end Alembic commands ###

migrations/public/versions/25588210dab2_llm_metrics_added.py

@@ -0,0 +1,49 @@
+"""LLM Metrics Added
+
+Revision ID: 25588210dab2
+Revises: 083ccd8206ea
+Create Date: 2024-09-17 12:44:12.242990
+
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = '25588210dab2'
+down_revision = '083ccd8206ea'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('llm_usage_metric',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('tenant_id', sa.Integer(), nullable=False),
+    sa.Column('environment', sa.String(length=20), nullable=False),
+    sa.Column('activity', sa.String(length=20), nullable=False),
+    sa.Column('sub_activity', sa.String(length=20), nullable=False),
+    sa.Column('activity_detail', sa.String(length=50), nullable=True),
+    sa.Column('session_id', sa.String(length=50), nullable=True),
+    sa.Column('interaction_id', sa.Integer(), nullable=True),
+    sa.Column('document_version_id', sa.Integer(), nullable=True),
+    sa.Column('prompt_tokens', sa.Integer(), nullable=True),
+    sa.Column('completion_tokens', sa.Integer(), nullable=True),
+    sa.Column('total_tokens', sa.Integer(), nullable=True),
+    sa.Column('cost', sa.Float(), nullable=True),
+    sa.Column('latency', sa.Float(), nullable=True),
+    sa.Column('model_name', sa.String(length=50), nullable=False),
+    sa.Column('timestamp', sa.DateTime(), nullable=False),
+    sa.Column('additional_info', postgresql.JSONB(astext_type=sa.Text()), nullable=True),
+    sa.PrimaryKeyConstraint('id'),
+    schema='public'
+    )
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table('llm_usage_metric', schema='public')
+    # ### end Alembic commands ###

migrations/public/versions/2cbdb23ae02e_corrected_businesseventlog.py

@@ -0,0 +1,49 @@
+"""Corrected BusinessEventLog
+
+Revision ID: 2cbdb23ae02e
+Revises: e3c6ff8c22df
+Create Date: 2024-09-25 10:17:40.154566
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '2cbdb23ae02e'
+down_revision = 'e3c6ff8c22df'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('business_event_log', schema=None) as batch_op:
+        batch_op.alter_column('span_id',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=True)
+        batch_op.alter_column('span_name',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=True)
+        batch_op.alter_column('parent_span_id',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=True)
+
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('business_event_log', schema=None) as batch_op:
+        batch_op.alter_column('parent_span_id',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=False)
+        batch_op.alter_column('span_name',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=False)
+        batch_op.alter_column('span_id',
+               existing_type=sa.VARCHAR(length=50),
+               nullable=False)
+
+    # ### end Alembic commands ###

migrations/public/versions/829094f07d44_session_id_is_uuid_iso_integeger.py

@@ -0,0 +1,38 @@
+"""session_id is uuid iso integeger
+
+Revision ID: 829094f07d44
+Revises: 2cbdb23ae02e
+Create Date: 2024-09-27 09:19:13.201988
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = '829094f07d44'
+down_revision = '2cbdb23ae02e'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('business_event_log', schema=None) as batch_op:
+        batch_op.alter_column('chat_session_id',
+               existing_type=sa.INTEGER(),
+               type_=sa.String(length=50),
+               existing_nullable=True)
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('business_event_log', schema=None) as batch_op:
+        batch_op.alter_column('chat_session_id',
+               existing_type=sa.String(length=50),
+               type_=sa.INTEGER(),
+               existing_nullable=True)
+
+    # ### end Alembic commands ###

migrations/public/versions/ce6f5b62bbfb_add_api_key_to_tenant_next_to_chat_api_.py

@@ -0,0 +1,68 @@
+"""Add API Key to tenant - next to Chat API key
+
+Revision ID: ce6f5b62bbfb
+Revises: 110be45f6e44
+Create Date: 2024-08-29 07:43:20.662983
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = 'ce6f5b62bbfb'
+down_revision = '110be45f6e44'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('roles_users', schema=None) as batch_op:
+        batch_op.drop_constraint('roles_users_role_id_fkey', type_='foreignkey')
+        batch_op.drop_constraint('roles_users_user_id_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'user', ['user_id'], ['id'], referent_schema='public', ondelete='CASCADE')
+        batch_op.create_foreign_key(None, 'role', ['role_id'], ['id'], referent_schema='public', ondelete='CASCADE')
+
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.add_column(sa.Column('encrypted_api_key', sa.String(length=500), nullable=True))
+
+    with op.batch_alter_table('tenant_domain', schema=None) as batch_op:
+        batch_op.drop_constraint('tenant_domain_tenant_id_fkey', type_='foreignkey')
+        batch_op.drop_constraint('tenant_domain_updated_by_fkey', type_='foreignkey')
+        batch_op.drop_constraint('tenant_domain_created_by_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'user', ['updated_by'], ['id'], referent_schema='public')
+        batch_op.create_foreign_key(None, 'user', ['created_by'], ['id'], referent_schema='public')
+        batch_op.create_foreign_key(None, 'tenant', ['tenant_id'], ['id'], referent_schema='public')
+
+    with op.batch_alter_table('user', schema=None) as batch_op:
+        batch_op.drop_constraint('user_tenant_id_fkey', type_='foreignkey')
+        batch_op.create_foreign_key(None, 'tenant', ['tenant_id'], ['id'], referent_schema='public')
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('user', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('user_tenant_id_fkey', 'tenant', ['tenant_id'], ['id'])
+
+    with op.batch_alter_table('tenant_domain', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('tenant_domain_created_by_fkey', 'user', ['created_by'], ['id'])
+        batch_op.create_foreign_key('tenant_domain_updated_by_fkey', 'user', ['updated_by'], ['id'])
+        batch_op.create_foreign_key('tenant_domain_tenant_id_fkey', 'tenant', ['tenant_id'], ['id'])
+
+    with op.batch_alter_table('tenant', schema=None) as batch_op:
+        batch_op.drop_column('encrypted_api_key')
+
+    with op.batch_alter_table('roles_users', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.drop_constraint(None, type_='foreignkey')
+        batch_op.create_foreign_key('roles_users_user_id_fkey', 'user', ['user_id'], ['id'], ondelete='CASCADE')
+        batch_op.create_foreign_key('roles_users_role_id_fkey', 'role', ['role_id'], ['id'], ondelete='CASCADE')
+
+    # ### end Alembic commands ###

migrations/public/versions/e3c6ff8c22df_updated_monitoring_setup.py

@@ -0,0 +1,67 @@
+"""Updated Monitoring Setup
+
+Revision ID: e3c6ff8c22df
+Revises: 25588210dab2
+Create Date: 2024-09-25 10:05:57.684506
+
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = 'e3c6ff8c22df'
+down_revision = '25588210dab2'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('business_event_log',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('timestamp', sa.DateTime(), nullable=False),
+    sa.Column('event_type', sa.String(length=50), nullable=False),
+    sa.Column('tenant_id', sa.Integer(), nullable=False),
+    sa.Column('trace_id', sa.String(length=50), nullable=False),
+    sa.Column('span_id', sa.String(length=50), nullable=False),
+    sa.Column('span_name', sa.String(length=50), nullable=False),
+    sa.Column('parent_span_id', sa.String(length=50), nullable=False),
+    sa.Column('document_version_id', sa.Integer(), nullable=True),
+    sa.Column('chat_session_id', sa.Integer(), nullable=True),
+    sa.Column('interaction_id', sa.Integer(), nullable=True),
+    sa.Column('environment', sa.String(length=20), nullable=True),
+    sa.Column('message', sa.Text(), nullable=True),
+    sa.PrimaryKeyConstraint('id'),
+    schema='public'
+    )
+    op.drop_table('llm_usage_metric')
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+
+    op.create_table('llm_usage_metric',
+    sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
+    sa.Column('tenant_id', sa.INTEGER(), autoincrement=False, nullable=False),
+    sa.Column('environment', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
+    sa.Column('activity', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
+    sa.Column('sub_activity', sa.VARCHAR(length=20), autoincrement=False, nullable=False),
+    sa.Column('activity_detail', sa.VARCHAR(length=50), autoincrement=False, nullable=True),
+    sa.Column('session_id', sa.VARCHAR(length=50), autoincrement=False, nullable=True),
+    sa.Column('interaction_id', sa.INTEGER(), autoincrement=False, nullable=True),
+    sa.Column('document_version_id', sa.INTEGER(), autoincrement=False, nullable=True),
+    sa.Column('prompt_tokens', sa.INTEGER(), autoincrement=False, nullable=True),
+    sa.Column('completion_tokens', sa.INTEGER(), autoincrement=False, nullable=True),
+    sa.Column('total_tokens', sa.INTEGER(), autoincrement=False, nullable=True),
+    sa.Column('cost', sa.DOUBLE_PRECISION(precision=53), autoincrement=False, nullable=True),
+    sa.Column('latency', sa.DOUBLE_PRECISION(precision=53), autoincrement=False, nullable=True),
+    sa.Column('model_name', sa.VARCHAR(length=50), autoincrement=False, nullable=False),
+    sa.Column('timestamp', postgresql.TIMESTAMP(), autoincrement=False, nullable=False),
+    sa.Column('additional_info', postgresql.JSONB(astext_type=sa.Text()), autoincrement=False, nullable=True),
+    sa.PrimaryKeyConstraint('id', name='llm_usage_metric_pkey')
+    )
+    op.drop_table('business_event_log', schema='public')
+    # ### end Alembic commands ###

migrations/tenant/env.py

@@ -1,3 +1,4 @@
+import inspect
 import logging
 from logging.config import fileConfig
 
@@ -5,12 +6,12 @@ from flask import current_app
 
 from alembic import context
 from sqlalchemy import NullPool, engine_from_config, text
-
-from common.models.user import Tenant
-
+import sqlalchemy as sa
+from sqlalchemy.sql import schema
 import pgvector
 from pgvector.sqlalchemy import Vector
 
+from common.models import document, interaction, user
 
 # this is the Alembic Config object, which provides
 # access to the values within the .ini file in use.
@@ -46,17 +47,34 @@ def get_engine_url():
 config.set_main_option('sqlalchemy.url', get_engine_url())
 target_db = current_app.extensions['migrate'].db
 
-# other values from the config, defined by the needs of env.py,
-# can be acquired:
-# my_important_option = config.get_main_option("my_important_option")
-# ... etc.
+
+def get_public_table_names():
+    # TODO: This function should include the necessary functionality to automatically retrieve table names
+    return ['role', 'roles_users', 'tenant', 'user', 'tenant_domain']
+
+
+PUBLIC_TABLES = get_public_table_names()
+logger.info(f"Public tables: {PUBLIC_TABLES}")
+
+
+def include_object(object, name, type_, reflected, compare_to):
+    if type_ == "table" and name in PUBLIC_TABLES:
+        logger.info(f"Excluding public table: {name}")
+        return False
+    logger.info(f"Including object: {type_} {name}")
+    return True
+
 
 # List of Tenants
-tenants_ = Tenant.query.all()
-if tenants_:
-    tenants = [tenant.id for tenant in tenants_]
-else:
-    tenants = []
+def get_tenant_ids():
+    from common.models.user import Tenant
+
+    tenants_ = Tenant.query.all()
+    if tenants_:
+        tenants = [tenant.id for tenant in tenants_]
+    else:
+        tenants = []
+    return tenants
 
 
 def get_metadata():
@@ -79,7 +97,10 @@ def run_migrations_offline():
     """
     url = config.get_main_option("sqlalchemy.url")
     context.configure(
-        url=url, target_metadata=get_metadata(), literal_binds=True
+        url=url,
+        target_metadata=get_metadata(),
+        # literal_binds=True,
+        include_object=include_object,
     )
 
     with context.begin_transaction():
@@ -99,18 +120,8 @@ def run_migrations_online():
         poolclass=NullPool,
     )
 
-    def process_revision_directives(context, revision, directives):
-        if config.cmd_opts.autogenerate:
-            script = directives[0]
-            if script.upgrade_ops is not None:
-                # Add import for pgvector and set search path
-                script.upgrade_ops.ops.insert(0, sa.schema.ExecuteSQLOp(
-                    "SET search_path TO CURRENT_SCHEMA(), public; IMPORT pgvector",
-                    execution_options=None
-                ))
-
     with connectable.connect() as connection:
-        print(tenants)
+        tenants = get_tenant_ids()
         for tenant in tenants:
             logger.info(f"Migrating tenant: {tenant}")
             # set search path on the connection, which ensures that
@@ -127,7 +138,8 @@ def run_migrations_online():
             context.configure(
                 connection=connection,
                 target_metadata=get_metadata(),
-                process_revision_directives=process_revision_directives,
+                # literal_binds=True,
+                include_object=include_object,
             )
 
             with context.begin_transaction():

migrations/tenant/versions/43eac8a7a00b_ensure_logging_information_in_document_.py

@@ -0,0 +1,27 @@
+"""Ensure logging information in document domain does not require user
+
+Revision ID: 43eac8a7a00b
+Revises: 5d5437d81041
+Create Date: 2024-09-03 09:36:06.541938
+
+"""
+from alembic import op
+import sqlalchemy as sa
+import pgvector
+
+
+# revision identifiers, used by Alembic.
+revision = '43eac8a7a00b'
+down_revision = '5d5437d81041'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # Manual upgrade commands
+    op.execute('ALTER TABLE document ALTER COLUMN created_by DROP NOT NULL')
+
+
+def downgrade():
+    # Manual downgrade commands
+    op.execute('ALTER TABLE document ALTER COLUMN created_by SET NOT NULL')

migrations/tenant/versions/711a09a77680_adding_metadata_to_documentversion.py

@@ -0,0 +1,33 @@
+"""Adding metadata to DocumentVersion
+
+Revision ID: 711a09a77680
+Revises: 43eac8a7a00b
+Create Date: 2024-09-06 14:37:39.647455
+
+"""
+from alembic import op
+import sqlalchemy as sa
+import pgvector
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = '711a09a77680'
+down_revision = '43eac8a7a00b'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('document_version', sa.Column('user_metadata', postgresql.JSONB(astext_type=sa.Text()), nullable=True))
+    op.add_column('document_version', sa.Column('system_metadata', postgresql.JSONB(astext_type=sa.Text()), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column('document_version', 'system_metadata')
+    op.drop_column('document_version', 'user_metadata')
+
+    # ### end Alembic commands ###

nginx/nginx.conf

@@ -32,7 +32,7 @@ http {
     #keepalive_timeout  0;
     keepalive_timeout  65;
 
-    client_max_body_size 16M;
+    client_max_body_size 50M;
 
     #gzip  on;
 
@@ -137,14 +137,34 @@ http {
 
         }
 
+        location /api/ {
+            proxy_pass http://eveai_api:5003;
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_set_header X-Forwarded-Prefix /api;
+            proxy_http_version 1.1;
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection "upgrade";
+            proxy_buffering off;
+            proxy_buffer_size 16k;
+            proxy_buffers 4 32k;
+            proxy_busy_buffers_size 64k;
+
+            proxy_connect_timeout 60s;
+            proxy_send_timeout 60s;
+            proxy_read_timeout 60s;
+            send_timeout 60s;
+        }
+
         location /flower/ {
-            proxy_pass http://127.0.0.1:5555/;
+            proxy_pass http://flower:5555/flower/;
             proxy_set_header Host $host;
             proxy_set_header X-Real-IP $remote_addr;
             proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
             proxy_set_header X-Forwarded-Proto $scheme;
         }
-
     }
 
     include sites-enabled/*;

nginx/public/chat_evie.html

@@ -0,0 +1,30 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Chat Client Evie</title>
+  <link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet">
+  <script src="https://cdn.socket.io/4.0.1/socket.io.min.js"></script>
+  <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
+  <script src="/static/js/eveai-sdk.js" defer></script>
+  <script src="/static/js/eveai-chat-widget.js" defer></script>
+  <link rel="stylesheet" href="/static/css/eveai-chat-style.css">
+</head>
+<body>
+  <div id="chat-container"></div>
+  <script>
+    document.addEventListener('DOMContentLoaded', function() {
+      const eveAI = new EveAI(
+        '2',
+        'EveAI-CHAT-9079-8604-7441-6496-7604',
+        'http://macstudio.ask-eve-ai-local.com',
+        'en',
+        'en,fr,nl',
+        'http://macstudio.ask-eve-ai-local.com:8080/'
+      );
+      eveAI.initializeChat('chat-container');
+    });
+  </script>
+</body>
+</html>

nginx/static/assets/css/eveai.css

@@ -386,6 +386,7 @@ input[type="radio"] {
 .btn-danger:hover {
     background-color: darken(var(--bs-danger), 10%) !important; /* Darken the background on hover */
     border-color: darken(var(--bs-danger), 10%) !important; /* Darken the border on hover */
+    color: var(--bs-white) !important; /* Ensure the text remains white and readable */
 }
 
 /* Success Alert Styling */
@@ -420,3 +421,121 @@ input[type="radio"] {
   box-shadow: none;
 }
 
+/* Custom styles for chat session view */
+.accordion-button:not(.collapsed) {
+    background-color: var(--bs-primary);
+    color: var(--bs-white);
+}
+
+.accordion-button:focus {
+    box-shadow: 0 0 0 0.25rem rgba(118, 89, 154, 0.25);
+}
+
+.interaction-question {
+    font-size: 1rem;  /* Normal text size */
+}
+
+.interaction-icons {
+    display: flex;
+    align-items: center;
+}
+
+.interaction-icons .material-icons {
+    font-size: 24px;
+    margin-left: 8px;
+}
+
+.thumb-icon.filled {
+    color: var(--bs-success);
+}
+
+.thumb-icon.outlined {
+    color: var(--thumb-icon-outlined);
+}
+
+/* Algorithm icon colors */
+.algorithm-icon.rag_tenant {
+    color: var(--algorithm-color-rag-tenant);
+}
+
+.algorithm-icon.rag_wikipedia {
+    color: var(--algorithm-color-rag-wikipedia);
+}
+
+.algorithm-icon.rag_google {
+    color: var(--algorithm-color-rag-google);
+}
+
+.algorithm-icon.llm {
+    color: var(--algorithm-color-llm);
+}
+
+.accordion-body {
+    background-color: var(--bs-light);
+}
+
+/* Markdown content styles */
+.markdown-content {
+    font-size: 1rem;
+    line-height: 1.5;
+}
+
+.markdown-content p {
+    margin-bottom: 1rem;
+}
+
+.markdown-content h1, .markdown-content h2, .markdown-content h3,
+.markdown-content h4, .markdown-content h5, .markdown-content h6 {
+    margin-top: 1.5rem;
+    margin-bottom: 1rem;
+}
+
+.markdown-content ul, .markdown-content ol {
+    margin-bottom: 1rem;
+    padding-left: 2rem;
+}
+
+.markdown-content code {
+    background-color: #f8f9fa;
+    padding: 0.2em 0.4em;
+    border-radius: 3px;
+}
+
+.markdown-content pre {
+    background-color: #f8f9fa;
+    padding: 1rem;
+    border-radius: 5px;
+    overflow-x: auto;
+}
+
+/* Hide Select2's custom elements */
+.select2-container-hidden {
+    position: absolute !important;
+    left: -9999px !important;
+}
+
+.select2-dropdown-hidden {
+    display: none !important;
+}
+
+/* Ensure the original select is visible and styled */
+select.select2 {
+    display: block !important;
+    width: 100% !important;
+    height: auto !important;
+    padding: .375rem .75rem !important;
+    font-size: 1rem !important;
+    line-height: 1.5 !important;
+    color: #495057 !important;
+    background-color: #fff !important;
+    background-clip: padding-box !important;
+    border: 1px solid #ced4da !important;
+    border-radius: .25rem !important;
+    transition: border-color .15s ease-in-out,box-shadow .15s ease-in-out !important;
+}
+
+/* Style for multiple select */
+select.select2[multiple] {
+    height: auto !important;
+}
+

nginx/static/css/eveai-chat-style.css

@@ -1,294 +0,0 @@
-/* eveai_chat.css */
-:root {
-  --user-message-bg: #292929; /* Default user message background color */
-  --bot-message-bg: #1e1e1e; /* Default bot message background color */
-  --chat-bg: #1e1e1e; /* Default chat background color */
-  --status-line-color: #e9e9e9; /* Color for the status line text */
-  --status-line-bg: #1e1e1e; /* Background color for the status line */
-  --status-line-height: 30px; /* Fixed height for the status line */
-
-  --algorithm-color-rag-tenant: #0f0; /* Green for RAG_TENANT */
-  --algorithm-color-rag-wikipedia: #00f; /* Blue for RAG_WIKIPEDIA */
-  --algorithm-color-rag-google: #ff0; /* Yellow for RAG_GOOGLE */
-  --algorithm-color-llm: #800080; /* Purple for RAG_LLM */
-
-  /*--font-family: 'Arial, sans-serif'; !* Default font family *!*/
-  --font-family: 'Segoe UI, Roboto, Cantarell, Noto Sans, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol';
-  --font-color: #e9e9e9; /* Default font color */
-  --user-message-font-color: #e9e9e9; /* User message font color */
-  --bot-message-font-color: #e9e9e9; /* Bot message font color */
-  --input-bg: #292929; /* Input background color */
-  --input-border: #ccc; /* Input border color */
-  --input-text-color: #e9e9e9; /* Input text color */
-  --button-color: #007bff; /* Button text color */
-
-  /* Variables for hyperlink backgrounds */
-  --link-bg: #1e1e1e; /* Default background color for hyperlinks */
-  --link-hover-bg: #1e1e1e; /* Background color on hover for hyperlinks */
-  --link-color: #dec981; /* Default text color for hyperlinks */
-  --link-hover-color: #D68F53; /* Text color on hover for hyperlinks */
-
-  /* New scrollbar variables */
-  --scrollbar-bg: #292929; /* Background color for the scrollbar track */
-  --scrollbar-thumb: #4b4b4b; /* Color for the scrollbar thumb */
-  --scrollbar-thumb-hover: #dec981; /* Color for the thumb on hover */
-  --scrollbar-thumb-active: #D68F53; /* Color for the thumb when active (dragged) */
-
-  /* Thumb colors */
-  --thumb-icon-outlined: #4b4b4b;
-  --thumb-icon-filled: #e9e9e9;
-
-  /* Connection Status colors */
-  --status-connected-color: #28a745; /* Green color for connected status */
-  --status-disconnected-color: #ffc107; /* Orange color for disconnected status */
-}
-
-/* Connection status styles */
-.connection-status-icon {
-    vertical-align: middle;
-    font-size: 24px;
-    margin-right: 8px;
-}
-
-.status-connected {
-    color: var(--status-connected-color);
-}
-
-.status-disconnected {
-    color: var(--status-disconnected-color);
-}
-
-/* Custom scrollbar styles */
-.messages-area::-webkit-scrollbar {
-  width: 12px; /* Width of the scrollbar */
-}
-
-.messages-area::-webkit-scrollbar-track {
-  background: var(--scrollbar-bg); /* Background color for the track */
-}
-
-.messages-area::-webkit-scrollbar-thumb {
-  background-color: var(--scrollbar-thumb); /* Color of the thumb */
-  border-radius: 10px; /* Rounded corners for the thumb */
-  border: 3px solid var(--scrollbar-bg); /* Space around the thumb */
-}
-
-.messages-area::-webkit-scrollbar-thumb:hover {
-  background-color: var(--scrollbar-thumb-hover); /* Color when hovering over the thumb */
-}
-
-.messages-area::-webkit-scrollbar-thumb:active {
-  background-color: var(--scrollbar-thumb-active); /* Color when active (dragging) */
-}
-
-/* For Firefox */
-.messages-area {
-  scrollbar-width: thin; /* Make scrollbar thinner */
-  scrollbar-color: var(--scrollbar-thumb) var(--scrollbar-bg); /* Thumb and track colors */
-}
-
-/* General Styles */
-.chat-container {
-  display: flex;
-  flex-direction: column;
-  height: 75vh;
-  /*max-height: 100vh;*/
-  max-width: 600px;
-  margin: auto;
-  border: 1px solid #ccc;
-  border-radius: 8px;
-  overflow: hidden;
-  background-color: var(--chat-bg);
-  font-family: var(--font-family); /* Apply the default font family */
-  color: var(--font-color); /* Apply the default font color */
-}
-
-.disclaimer {
-  font-size: 0.7em;
-  text-align: right;
-  padding: 5px 20px 5px 5px;
-  margin-bottom: 5px;
-}
-
-.messages-area {
-  flex: 1;
-  overflow-y: auto;
-  padding: 10px;
-  background-color: var(--bot-message-bg);
-}
-
-.message {
-  max-width: 90%;
-  margin-bottom: 10px;
-  padding: 10px;
-  border-radius: 15px;
-  font-size: 1rem;
-}
-
-.message.user {
-  margin-left: auto;
-  background-color: var(--user-message-bg);
-  color: var(--user-message-font-color); /* Apply user message font color */
-}
-
-.message.bot {
-  background-color: var(--bot-message-bg);
-  color: var(--bot-message-font-color); /* Apply bot message font color */
-}
-
-.message-icons {
-  display: flex;
-  align-items: center;
-}
-
-/* Scoped styles for thumb icons */
-.thumb-icon.outlined {
-  color: var(--thumb-icon-outlined); /* Color for outlined state */
-}
-
-.thumb-icon.filled {
-  color: var(--thumb-icon-filled); /* Color for filled state */
-}
-
-/* Default styles for material icons */
-.material-icons {
-  font-size: 24px;
-  vertical-align: middle;
-  cursor: pointer;
-}
-
-.question-area {
-  display: flex;
-  flex-direction: row;
-  align-items: center;
-  background-color: var(--user-message-bg);
-  padding: 10px;
-}
-
-.language-select-container {
-  width: 100%;
-  margin-bottom: 10px; /* Spacing between the dropdown and the textarea */
-}
-
-.language-select {
-  width: 100%;
-  margin-bottom: 5px; /* Space between the dropdown and the send button */
-  padding: 8px;
-  border-radius: 5px;
-  border: 1px solid var(--input-border);
-  background-color: var(--input-bg);
-  color: var(--input-text-color);
-  font-size: 1rem;
-}
-
-.question-area textarea {
-  flex: 1;
-  border: none;
-  padding: 10px;
-  border-radius: 15px;
-  background-color: var(--input-bg);
-  border: 1px solid var(--input-border);
-  color: var(--input-text-color);
-  font-family: var(--font-family); /* Apply the default font family */
-  font-size: 1rem;
-  resize: vertical;
-  min-height: 60px;
-  max-height: 150px;
-  overflow-y: auto;
-  margin-right: 10px; /* Space between textarea and right-side container */
-}
-
-.right-side {
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-}
-
-.question-area button {
-  background: none;
-  border: none;
-  cursor: pointer;
-  color: var(--button-color);
-}
-
-/* Styles for the send icon */
-.send-icon {
-  font-size: 24px;
-  color: var(--button-color);
-  cursor: pointer;
-}
-
-.send-icon.disabled {
-  color: grey; /* Color for the disabled state */
-  cursor: not-allowed; /* Change cursor to indicate disabled state */
-}
-
-/* New CSS for the status-line */
-.status-line {
-  height: var(--status-line-height); /* Fixed height for the status line */
-  padding: 5px 10px;
-  background-color: var(--status-line-bg); /* Background color */
-  color: var(--status-line-color); /* Text color */
-  font-size: 0.9rem; /* Slightly smaller font size */
-  text-align: center; /* Centered text */
-  border-top: 1px solid #ccc; /* Subtle top border */
-  display: flex;
-  align-items: center;
-  justify-content: flex-start;
-}
-
-/* Algorithm-specific colors for fingerprint icon */
-.fingerprint-rag-tenant {
-  color: var(--algorithm-color-rag-tenant);
-}
-
-.fingerprint-rag-wikipedia {
-  color: var(--algorithm-color-rag-wikipedia);
-}
-
-.fingerprint-rag-google {
-  color: var(--algorithm-color-rag-google);
-}
-
-.fingerprint-llm {
-  color: var(--algorithm-color-llm);
-}
-
-/* Styling for citation links */
-.citations a {
-  background-color: var(--link-bg); /* Apply default background color */
-  color: var(--link-color); /* Apply default link color */
-  padding: 2px 4px; /* Add padding for better appearance */
-  border-radius: 3px; /* Add slight rounding for a modern look */
-  text-decoration: none; /* Remove default underline */
-  transition: background-color 0.3s, color 0.3s; /* Smooth transition for hover effects */
-}
-
-.citations a:hover {
-  background-color: var(--link-hover-bg); /* Background color on hover */
-  color: var(--link-hover-color); /* Text color on hover */
-}
-
-/* Media queries for responsiveness */
-@media (max-width: 768px) {
-  .chat-container {
-    max-width: 90%; /* Reduce max width on smaller screens */
-  }
-}
-
-@media (max-width: 480px) {
-  .chat-container {
-    max-width: 95%; /* Further reduce max width on very small screens */
-  }
-
-  .question-area input {
-    font-size: 0.9rem; /* Adjust input font size for smaller screens */
-  }
-
-  .status-line {
-    font-size: 0.8rem; /* Adjust status line font size for smaller screens */
-  }
-}
-
-
-

nginx/static/js/eveai-chat-widget.js

@@ -1,470 +0,0 @@
-class EveAIChatWidget extends HTMLElement {
-  static get observedAttributes() {
-    return ['tenant-id', 'api-key', 'domain', 'language', 'languages'];
-  }
-
-  constructor() {
-    super();
-    this.socket = null; // Initialize socket to null
-    this.attributesSet = false; // Flag to check if all attributes are set
-    this.jwtToken = null; // Initialize jwtToken to null
-    this.userTimezone = Intl.DateTimeFormat().resolvedOptions().timeZone; // Detect user's timezone
-    this.heartbeatInterval = null;
-    this.idleTime = 0; // in milliseconds
-    this.maxConnectionIdleTime = 1 * 60 * 60 * 1000; // 1 hours in milliseconds
-    this.languages = []
-    this.room = null;
-    console.log('EveAIChatWidget constructor called');
-  }
-
-  connectedCallback() {
-    console.log('connectedCallback called');
-    this.innerHTML = this.getTemplate();
-    this.messagesArea = this.querySelector('.messages-area');
-    this.questionInput = this.querySelector('.question-area textarea');
-    this.sendButton = this.querySelector('.send-icon');
-    this.languageSelect = this.querySelector('.language-select');
-    this.statusLine = this.querySelector('.status-line');
-    this.statusMessage = this.querySelector('.status-message');
-    this.connectionStatusIcon = this.querySelector('.connection-status-icon');
-
-    this.sendButton.addEventListener('click', () => this.handleSendMessage());
-    this.questionInput.addEventListener('keydown', (event) => {
-      if (event.key === 'Enter' && !event.shiftKey) {
-        event.preventDefault(); // Prevent adding a new line
-        this.handleSendMessage();
-      }
-    });
-
-    if (this.areAllAttributesSet() && !this.socket) {
-      console.log('Attributes already set in connectedCallback, initializing socket');
-      this.initializeSocket();
-    }
-  }
-
-  populateLanguageDropdown() {
-    // Clear existing options
-    this.languageSelect.innerHTML = '';
-    console.log(`languages for options: ${this.languages}`)
-
-    // Populate with new options
-    this.languages.forEach(lang => {
-      const option = document.createElement('option');
-      option.value = lang;
-      option.textContent = lang.toUpperCase();
-      if (lang === this.currentLanguage) {
-        option.selected = true;
-      }
-      console.log(`Adding option for language: ${lang}`)
-      this.languageSelect.appendChild(option);
-    });
-
-    // Add event listener for language change
-    this.languageSelect.addEventListener('change', (e) => {
-      this.currentLanguage = e.target.value;
-      // You might want to emit an event or update the backend about the language change
-    });
-  }
-
-  attributeChangedCallback(name, oldValue, newValue) {
-    console.log(`attributeChangedCallback called: ${name} changed from ${oldValue} to ${newValue}`);
-    this.updateAttributes();
-
-    if (this.areAllAttributesSet() && !this.socket) {
-      console.log('All attributes set in attributeChangedCallback, initializing socket');
-      this.attributesSet = true;
-      console.log('All attributes are set, populating language dropdown');
-      this.populateLanguageDropdown();
-      console.log('All attributes are set, initializing socket')
-      this.initializeSocket();
-    }
-  }
-
-  updateAttributes() {
-    this.tenantId = this.getAttribute('tenant-id');
-    this.apiKey = this.getAttribute('api-key');
-    this.domain = this.getAttribute('domain');
-    this.language = this.getAttribute('language');
-    const languageAttr = this.getAttribute('languages');
-    this.languages = languageAttr ? languageAttr.split(',') : [];
-    this.currentLanguage = this.language;
-    console.log('Updated attributes:', {
-      tenantId: this.tenantId,
-      apiKey: this.apiKey,
-      domain: this.domain,
-      language: this.language,
-      currentLanguage: this.currentLanguage,
-      languages: this.languages
-    });
-  }
-
-  areAllAttributesSet() {
-    const tenantId = this.getAttribute('tenant-id');
-    const apiKey = this.getAttribute('api-key');
-    const domain = this.getAttribute('domain');
-    const language = this.getAttribute('language');
-    const languages = this.getAttribute('languages');
-    console.log('Checking if all attributes are set:', {
-      tenantId,
-      apiKey,
-      domain,
-      language,
-      languages
-    });
-    return tenantId && apiKey && domain && language && languages;
-  }
-
-  createLanguageDropdown() {
-    const select = document.createElement('select');
-    select.id = 'languageSelect';
-    this.languages.forEach(lang => {
-      const option = document.createElement('option');
-      option.value = lang;
-      option.textContent = lang.toUpperCase();
-      if (lang === this.currentLanguage) {
-        option.selected = true;
-      }
-      select.appendChild(option);
-    });
-    select.addEventListener('change', (e) => {
-      this.currentLanguage = e.target.value;
-      // You might want to emit an event or update the backend about the language change
-    });
-    return select;
-  }
-
-  initializeSocket() {
-    if (this.socket) {
-      console.log('Socket already initialized');
-      return;
-    }
-
-    console.log(`Initializing socket connection to Evie`);
-
-    // Ensure apiKey is passed in the query parameters
-    this.socket = io('https://evie.askeveai.com', {
-      path: '/chat/socket.io/',
-      transports: ['websocket', 'polling'],
-      query: {
-        tenantId: this.tenantId,
-        apiKey: this.apiKey // Ensure apiKey is included here
-      },
-      auth: {
-        token: 'Bearer ' + this.apiKey // Ensure token is included here
-      },
-      reconnectionAttempts: Infinity, // Infinite reconnection attempts
-      reconnectionDelay: 5000,        // Delay between reconnections
-      timeout: 20000                  // Connection timeout
-    });
-
-    console.log(`Finished initializing socket connection to Evie`);
-
-    this.socket.on('connect', (data) => {
-      console.log('Socket connected OK');
-      this.setStatusMessage('Connected to EveAI.');
-      this.updateConnectionStatus(true);
-      this.startHeartbeat();
-      if (data.room) {
-        this.room = data.room;
-        console.log(`Joined room: ${this.room}`);
-      }
-    });
-
-    this.socket.on('authenticated', (data) => {
-      console.log('Authenticated event received: ', data);
-      this.setStatusMessage('Authenticated.');
-      if (data.token) {
-        this.jwtToken = data.token; // Store the JWT token received from the server
-      }
-      if (data.room) {
-        this.room = data.room;
-        console.log(`Confirmed room: ${this.room}`);
-      }
-    });
-
-    this.socket.on('connect_error', (err) => {
-      console.error('Socket connection error:', err);
-      this.setStatusMessage('EveAI Chat Widget needs further configuration by site administrator.');
-      this.updateConnectionStatus(false);
-    });
-
-    this.socket.on('connect_timeout', () => {
-      console.error('Socket connection timeout');
-      this.setStatusMessage('EveAI Chat Widget needs further configuration by site administrator.');
-      this.updateConnectionStatus(false);
-    });
-
-    this.socket.on('disconnect', (reason) => {
-      console.log('Socket disconnected: ', reason);
-      if (reason === 'io server disconnect') {
-        // Server disconnected the socket
-        this.socket.connect(); // Attempt to reconnect
-      }
-      this.setStatusMessage('Disconnected from EveAI. Please refresh the page for further interaction.');
-      this.updateConnectionStatus(false);
-      this.stopHeartbeat();
-    });
-
-    this.socket.on('reconnect_attempt', () => {
-      console.log('Attempting to reconnect to the server...');
-      this.setStatusMessage('Attempting to reconnect...');
-    });
-
-    this.socket.on('reconnect', () => {
-      console.log('Successfully reconnected to the server');
-      this.setStatusMessage('Reconnected to EveAI.');
-      this.updateConnectionStatus(true);
-      this.startHeartbeat();
-    });
-
-    this.socket.on('bot_response', (data) => {
-      if (data.tenantId === this.tenantId) {
-        console.log('Initial response received:', data);
-        console.log('Task ID received:', data.taskId);
-        this.checkTaskStatus(data.taskId);
-        this.setStatusMessage('Processing...');
-      }
-    });
-
-    this.socket.on('task_status', (data) => {
-      console.log('Task status received:', data.status);
-      console.log('Task ID received:', data.taskId);
-      console.log('Citations type:', typeof data.citations, 'Citations:', data.citations);
-
-      if (data.status === 'pending') {
-          this.updateProgress();
-          setTimeout(() => this.checkTaskStatus(data.taskId), 1000); // Poll every second
-      } else if (data.status === 'success') {
-          this.addBotMessage(data.answer, data.interaction_id, data.algorithm, data.citations);
-          this.clearProgress(); // Clear progress indicator when done
-      } else {
-          this.setStatusMessage('Failed to process message.');
-      }
-    });
-  }
-
-  setStatusMessage(message) {
-    this.statusMessage.textContent = message;
-  }
-
-  updateConnectionStatus(isConnected) {
-    if (isConnected) {
-      this.connectionStatusIcon.textContent = 'link';
-      this.connectionStatusIcon.classList.remove('status-disconnected');
-      this.connectionStatusIcon.classList.add('status-connected');
-    } else {
-      this.connectionStatusIcon.textContent = 'link_off';
-      this.connectionStatusIcon.classList.remove('status-connected');
-      this.connectionStatusIcon.classList.add('status-disconnected');
-    }
-  }
-
-  startHeartbeat() {
-      this.stopHeartbeat(); // Clear any existing interval
-      this.heartbeatInterval = setInterval(() => {
-        if (this.socket && this.socket.connected) {
-          this.socket.emit('heartbeat');
-          this.idleTime += 30000;
-          if (this.idleTime >= this.maxConnectionIdleTime) {
-              this.socket.disconnect();
-              this.setStatusMessage('Disconnected due to inactivity.');
-              this.updateConnectionStatus(false);
-              this.stopHeartbeat();
-          }
-        }
-      }, 30000); // Send a heartbeat every 30 seconds
-    }
-
-  stopHeartbeat() {
-    if (this.heartbeatInterval) {
-      clearInterval(this.heartbeatInterval);
-      this.heartbeatInterval = null;
-    }
-  }
-
-  updateProgress() {
-    if (!this.statusMessage.textContent) {
-        this.statusMessage.textContent = 'Processing...';
-    } else {
-        this.statusMessage.textContent += '.'; // Append a dot
-    }
-  }
-
-  clearProgress() {
-    this.statusMessage.textContent = '';
-    this.toggleSendButton(false); // Re-enable and revert send button to outlined version
-  }
-
-  checkTaskStatus(taskId) {
-    this.updateProgress();
-    this.socket.emit('check_task_status', { task_id: taskId });
-  }
-
-  getTemplate() {
-    return `
-      <div class="chat-container">
-        <div class="messages-area"></div>
-        <div class="disclaimer">Evie can make mistakes. Please double-check responses.</div>
-        <div class="question-area">
-          <textarea placeholder="Type your message here..." rows="3"></textarea>
-          <div class="right-side">
-            <select class="language-select"></select>
-            <i class="material-icons send-icon outlined">send</i>
-          </div>
-        </div>
-        <div class="status-line">
-            <i class="material-icons connection-status-icon">link_off</i>
-            <span class="status-message"></span>
-        </div>
-      </div>
-    `;
-  }
-
-  addUserMessage(text) {
-    const message = document.createElement('div');
-    message.classList.add('message', 'user');
-    message.innerHTML = `<p>${text}</p>`;
-    this.messagesArea.appendChild(message);
-    this.messagesArea.scrollTop = this.messagesArea.scrollHeight;
-  }
-
-  handleFeedback(feedback, interactionId) {
-    // Send feedback to the backend
-    console.log('handleFeedback called');
-    if (!this.socket) {
-      console.error('Socket is not initialized');
-      return;
-    }
-    if (!this.jwtToken) {
-      console.error('JWT token is not available');
-      return;
-    }
-    console.log('Sending message to backend');
-    console.log(`Feedback for ${interactionId}: ${feedback}`);
-    this.socket.emit('feedback', { tenantId: this.tenantId, token: this.jwtToken, feedback, interactionId });
-    this.setStatusMessage('Feedback sent.');
-  }
-
-  addBotMessage(text, interactionId, algorithm = 'default', citations = []) {
-    const message = document.createElement('div');
-    message.classList.add('message', 'bot');
-
-    let content = marked.parse(text);
-    let citationsHtml = citations.map(url => `<a href="${url}" target="_blank">${url}</a>`).join('<br>');
-
-    let algorithmClass;
-    switch (algorithm) {
-      case 'RAG_TENANT':
-        algorithmClass = 'fingerprint-rag-tenant';
-        break;
-      case 'RAG_WIKIPEDIA':
-        algorithmClass = 'fingerprint-rag-wikipedia';
-        break;
-      case 'RAG_GOOGLE':
-        algorithmClass = 'fingerprint-rag-google';
-        break;
-      case 'LLM':
-        algorithmClass = 'fingerprint-llm';
-        break;
-      default:
-        algorithmClass = '';
-    }
-
-    message.innerHTML = `
-      <p>${content}</p>
-      ${citationsHtml ? `<p class="citations">${citationsHtml}</p>` : ''}
-      <div class="message-icons">
-          <i class="material-icons ${algorithmClass}">fingerprint</i>
-          <i class="material-icons thumb-icon outlined" data-feedback="up" data-interaction-id="${interactionId}">thumb_up_off_alt</i>
-          <i class="material-icons thumb-icon outlined" data-feedback="down" data-interaction-id="${interactionId}">thumb_down_off_alt</i>
-      </div>
-    `;
-    this.messagesArea.appendChild(message);
-
-    // Add event listeners for feedback buttons
-    const thumbsUp = message.querySelector('i[data-feedback="up"]');
-    const thumbsDown = message.querySelector('i[data-feedback="down"]');
-    thumbsUp.addEventListener('click', () => this.toggleFeedback(thumbsUp, thumbsDown, 'up', interactionId));
-    thumbsDown.addEventListener('click', () => this.toggleFeedback(thumbsUp, thumbsDown, 'down', interactionId));
-
-    this.messagesArea.scrollTop = this.messagesArea.scrollHeight;
-  }
-
-toggleFeedback(thumbsUp, thumbsDown, feedback, interactionId) {
-  console.log('feedback called');
-  this.idleTime = 0; // Reset idle time
-  if (feedback === 'up') {
-    thumbsUp.textContent = 'thumb_up'; // Change to filled icon
-    thumbsUp.classList.remove('outlined');
-    thumbsUp.classList.add('filled');
-    thumbsDown.textContent = 'thumb_down_off_alt'; // Keep the other icon outlined
-    thumbsDown.classList.add('outlined');
-    thumbsDown.classList.remove('filled');
-  } else {
-    thumbsDown.textContent = 'thumb_down'; // Change to filled icon
-    thumbsDown.classList.remove('outlined');
-    thumbsDown.classList.add('filled');
-    thumbsUp.textContent = 'thumb_up_off_alt'; // Keep the other icon outlined
-    thumbsUp.classList.add('outlined');
-    thumbsUp.classList.remove('filled');
-  }
-
-    // Send feedback to the backend
-    this.handleFeedback(feedback, interactionId);
-  }
-
-  handleSendMessage() {
-    console.log('handleSendMessage called');
-    this.idleTime = 0; // Reset idle time
-    const message = this.questionInput.value.trim();
-    if (message) {
-      this.addUserMessage(message);
-      this.questionInput.value = '';
-      this.sendMessageToBackend(message);
-      this.toggleSendButton(true); // Disable and change send button to filled version
-    }
-  }
-
-  sendMessageToBackend(message) {
-    console.log('sendMessageToBackend called');
-    if (!this.socket) {
-      console.error('Socket is not initialized');
-      return;
-    }
-    if (!this.jwtToken) {
-      console.error('JWT token is not available');
-      return;
-    }
-
-    const selectedLanguage = this.languageSelect.value;
-
-    console.log('Sending message to backend');
-    this.socket.emit('user_message', {
-      tenantId: this.tenantId,
-      token: this.jwtToken,
-      message,
-      language: selectedLanguage,
-      timezone: this.userTimezone
-    });
-    this.setStatusMessage('Processing started ...')
-  }
-
-  toggleSendButton(isProcessing) {
-    if (isProcessing) {
-      this.sendButton.textContent = 'send'; // Filled send icon
-      this.sendButton.classList.remove('outlined');
-      this.sendButton.classList.add('filled');
-      this.sendButton.classList.add('disabled'); // Add disabled class for styling
-      this.sendButton.style.pointerEvents = 'none'; // Disable click events
-    } else {
-      this.sendButton.textContent = 'send'; // Outlined send icon
-      this.sendButton.classList.add('outlined');
-      this.sendButton.classList.remove('filled');
-      this.sendButton.classList.remove('disabled'); // Remove disabled class
-      this.sendButton.style.pointerEvents = 'auto'; // Re-enable click events
-    }
-  }
-}
-
-customElements.define('eveai-chat-widget', EveAIChatWidget);
-

nginx/static/js/eveai-sdk.js

@@ -1,29 +0,0 @@
-// static/js/eveai-sdk.js
-class EveAI {
-  constructor(tenantId, apiKey, domain, language, languages) {
-    this.tenantId = tenantId;
-    this.apiKey = apiKey;
-    this.domain = domain;
-    this.language = language;
-    this.languages = languages;
-
-    console.log('EveAI constructor:', { tenantId, apiKey, domain, language, languages });
-  }
-
-  initializeChat(containerId) {
-    const container = document.getElementById(containerId);
-    if (container) {
-      container.innerHTML = '<eveai-chat-widget></eveai-chat-widget>';
-      customElements.whenDefined('eveai-chat-widget').then(() => {
-        const chatWidget = container.querySelector('eveai-chat-widget');
-        chatWidget.setAttribute('tenant-id', this.tenantId);
-        chatWidget.setAttribute('api-key', this.apiKey);
-        chatWidget.setAttribute('domain', this.domain);
-        chatWidget.setAttribute('language', this.language);
-        chatWidget.setAttribute('languages', this.languages);
-      });
-    } else {
-      console.error('Container not found');
-    }
-  }
-}

patched_packages/pytube/__init__.py

@@ -1,19 +0,0 @@
-# flake8: noqa: F401
-# noreorder
-"""
-Pytube: a very serious Python library for downloading YouTube Videos.
-"""
-__title__ = "pytube"
-__author__ = "Ronnie Ghose, Taylor Fox Dahlin, Nick Ficano"
-__license__ = "The Unlicense (Unlicense)"
-__js__ = None
-__js_url__ = None
-
-from pytube.version import __version__
-from pytube.streams import Stream
-from pytube.captions import Caption
-from pytube.query import CaptionQuery, StreamQuery
-from pytube.__main__ import YouTube
-from pytube.contrib.playlist import Playlist
-from pytube.contrib.channel import Channel
-from pytube.contrib.search import Search

patched_packages/pytube/__main__.py

@@ -1,479 +0,0 @@
-"""
-This module implements the core developer interface for pytube.
-
-The problem domain of the :class:`YouTube <YouTube> class focuses almost
-exclusively on the developer interface. Pytube offloads the heavy lifting to
-smaller peripheral modules and functions.
-
-"""
-import logging
-from typing import Any, Callable, Dict, List, Optional
-
-import pytube
-import pytube.exceptions as exceptions
-from pytube import extract, request
-from pytube import Stream, StreamQuery
-from pytube.helpers import install_proxy
-from pytube.innertube import InnerTube
-from pytube.metadata import YouTubeMetadata
-from pytube.monostate import Monostate
-
-logger = logging.getLogger(__name__)
-
-
-class YouTube:
-    """Core developer interface for pytube."""
-
-    def __init__(
-        self,
-        url: str,
-        on_progress_callback: Optional[Callable[[Any, bytes, int], None]] = None,
-        on_complete_callback: Optional[Callable[[Any, Optional[str]], None]] = None,
-        proxies: Dict[str, str] = None,
-        use_oauth: bool = False,
-        allow_oauth_cache: bool = True
-    ):
-        """Construct a :class:`YouTube <YouTube>`.
-
-        :param str url:
-            A valid YouTube watch URL.
-        :param func on_progress_callback:
-            (Optional) User defined callback function for stream download
-            progress events.
-        :param func on_complete_callback:
-            (Optional) User defined callback function for stream download
-            complete events.
-        :param dict proxies:
-            (Optional) A dict mapping protocol to proxy address which will be used by pytube.
-        :param bool use_oauth:
-            (Optional) Prompt the user to authenticate to YouTube.
-            If allow_oauth_cache is set to True, the user should only be prompted once.
-        :param bool allow_oauth_cache:
-            (Optional) Cache OAuth tokens locally on the machine. Defaults to True.
-            These tokens are only generated if use_oauth is set to True as well.
-        """
-        self._js: Optional[str] = None  # js fetched by js_url
-        self._js_url: Optional[str] = None  # the url to the js, parsed from watch html
-
-        self._vid_info: Optional[Dict] = None  # content fetched from innertube/player
-
-        self._watch_html: Optional[str] = None  # the html of /watch?v=<video_id>
-        self._embed_html: Optional[str] = None
-        self._player_config_args: Optional[Dict] = None  # inline js in the html containing
-        self._age_restricted: Optional[bool] = None
-
-        self._fmt_streams: Optional[List[Stream]] = None
-
-        self._initial_data = None
-        self._metadata: Optional[YouTubeMetadata] = None
-
-        # video_id part of /watch?v=<video_id>
-        self.video_id = extract.video_id(url)
-
-        self.watch_url = f"https://youtube.com/watch?v={self.video_id}"
-        self.embed_url = f"https://www.youtube.com/embed/{self.video_id}"
-
-        # Shared between all instances of `Stream` (Borg pattern).
-        self.stream_monostate = Monostate(
-            on_progress=on_progress_callback, on_complete=on_complete_callback
-        )
-
-        if proxies:
-            install_proxy(proxies)
-
-        self._author = None
-        self._title = None
-        self._publish_date = None
-
-        self.use_oauth = use_oauth
-        self.allow_oauth_cache = allow_oauth_cache
-
-    def __repr__(self):
-        return f'<pytube.__main__.YouTube object: videoId={self.video_id}>'
-
-    def __eq__(self, o: object) -> bool:
-        # Compare types and urls, if they're same return true, else return false.
-        return type(o) == type(self) and o.watch_url == self.watch_url
-
-    @property
-    def watch_html(self):
-        if self._watch_html:
-            return self._watch_html
-        self._watch_html = request.get(url=self.watch_url)
-        return self._watch_html
-
-    @property
-    def embed_html(self):
-        if self._embed_html:
-            return self._embed_html
-        self._embed_html = request.get(url=self.embed_url)
-        return self._embed_html
-
-    @property
-    def age_restricted(self):
-        if self._age_restricted:
-            return self._age_restricted
-        self._age_restricted = extract.is_age_restricted(self.watch_html)
-        return self._age_restricted
-
-    @property
-    def js_url(self):
-        if self._js_url:
-            return self._js_url
-
-        if self.age_restricted:
-            self._js_url = extract.js_url(self.embed_html)
-        else:
-            self._js_url = extract.js_url(self.watch_html)
-
-        return self._js_url
-
-    @property
-    def js(self):
-        if self._js:
-            return self._js
-
-        # If the js_url doesn't match the cached url, fetch the new js and update
-        #  the cache; otherwise, load the cache.
-        if pytube.__js_url__ != self.js_url:
-            self._js = request.get(self.js_url)
-            pytube.__js__ = self._js
-            pytube.__js_url__ = self.js_url
-        else:
-            self._js = pytube.__js__
-
-        return self._js
-
-    @property
-    def initial_data(self):
-        if self._initial_data:
-            return self._initial_data
-        self._initial_data = extract.initial_data(self.watch_html)
-        return self._initial_data
-
-    @property
-    def streaming_data(self):
-        """Return streamingData from video info."""
-        if 'streamingData' in self.vid_info:
-            return self.vid_info['streamingData']
-        else:
-            self.bypass_age_gate()
-            return self.vid_info['streamingData']
-
-    @property
-    def fmt_streams(self):
-        """Returns a list of streams if they have been initialized.
-
-        If the streams have not been initialized, finds all relevant
-        streams and initializes them.
-        """
-        self.check_availability()
-        if self._fmt_streams:
-            return self._fmt_streams
-
-        self._fmt_streams = []
-
-        stream_manifest = extract.apply_descrambler(self.streaming_data)
-
-        # If the cached js doesn't work, try fetching a new js file
-        # https://github.com/pytube/pytube/issues/1054
-        try:
-            extract.apply_signature(stream_manifest, self.vid_info, self.js)
-        except exceptions.ExtractError:
-            # To force an update to the js file, we clear the cache and retry
-            self._js = None
-            self._js_url = None
-            pytube.__js__ = None
-            pytube.__js_url__ = None
-            extract.apply_signature(stream_manifest, self.vid_info, self.js)
-
-        # build instances of :class:`Stream <Stream>`
-        # Initialize stream objects
-        for stream in stream_manifest:
-            video = Stream(
-                stream=stream,
-                monostate=self.stream_monostate,
-            )
-            self._fmt_streams.append(video)
-
-        self.stream_monostate.title = self.title
-        self.stream_monostate.duration = self.length
-
-        return self._fmt_streams
-
-    def check_availability(self):
-        """Check whether the video is available.
-
-        Raises different exceptions based on why the video is unavailable,
-        otherwise does nothing.
-        """
-        status, messages = extract.playability_status(self.watch_html)
-
-        for reason in messages:
-            if status == 'UNPLAYABLE':
-                if reason == (
-                    'Join this channel to get access to members-only content '
-                    'like this video, and other exclusive perks.'
-                ):
-                    raise exceptions.MembersOnly(video_id=self.video_id)
-                elif reason == 'This live stream recording is not available.':
-                    raise exceptions.RecordingUnavailable(video_id=self.video_id)
-                else:
-                    raise exceptions.VideoUnavailable(video_id=self.video_id)
-            elif status == 'LOGIN_REQUIRED':
-                if reason == (
-                    'This is a private video. '
-                    'Please sign in to verify that you may see it.'
-                ):
-                    raise exceptions.VideoPrivate(video_id=self.video_id)
-            elif status == 'ERROR':
-                if reason == 'Video unavailable':
-                    raise exceptions.VideoUnavailable(video_id=self.video_id)
-            elif status == 'LIVE_STREAM':
-                raise exceptions.LiveStreamError(video_id=self.video_id)
-
-    @property
-    def vid_info(self):
-        """Parse the raw vid info and return the parsed result.
-
-        :rtype: Dict[Any, Any]
-        """
-        if self._vid_info:
-            return self._vid_info
-
-        innertube = InnerTube(use_oauth=self.use_oauth, allow_cache=self.allow_oauth_cache)
-
-        innertube_response = innertube.player(self.video_id)
-        self._vid_info = innertube_response
-        return self._vid_info
-
-    def bypass_age_gate(self):
-        """Attempt to update the vid_info by bypassing the age gate."""
-        innertube = InnerTube(
-            client='ANDROID_EMBED',
-            use_oauth=self.use_oauth,
-            allow_cache=self.allow_oauth_cache
-        )
-        innertube_response = innertube.player(self.video_id)
-
-        playability_status = innertube_response['playabilityStatus'].get('status', None)
-
-        # If we still can't access the video, raise an exception
-        # (tier 3 age restriction)
-        if playability_status == 'UNPLAYABLE':
-            raise exceptions.AgeRestrictedError(self.video_id)
-
-        self._vid_info = innertube_response
-
-    @property
-    def caption_tracks(self) -> List[pytube.Caption]:
-        """Get a list of :class:`Caption <Caption>`.
-
-        :rtype: List[Caption]
-        """
-        raw_tracks = (
-            self.vid_info.get("captions", {})
-            .get("playerCaptionsTracklistRenderer", {})
-            .get("captionTracks", [])
-        )
-        return [pytube.Caption(track) for track in raw_tracks]
-
-    @property
-    def captions(self) -> pytube.CaptionQuery:
-        """Interface to query caption tracks.
-
-        :rtype: :class:`CaptionQuery <CaptionQuery>`.
-        """
-        return pytube.CaptionQuery(self.caption_tracks)
-
-    @property
-    def streams(self) -> StreamQuery:
-        """Interface to query both adaptive (DASH) and progressive streams.
-
-        :rtype: :class:`StreamQuery <StreamQuery>`.
-        """
-        self.check_availability()
-        return StreamQuery(self.fmt_streams)
-
-    @property
-    def thumbnail_url(self) -> str:
-        """Get the thumbnail url image.
-
-        :rtype: str
-        """
-        thumbnail_details = (
-            self.vid_info.get("videoDetails", {})
-            .get("thumbnail", {})
-            .get("thumbnails")
-        )
-        if thumbnail_details:
-            thumbnail_details = thumbnail_details[-1]  # last item has max size
-            return thumbnail_details["url"]
-
-        return f"https://img.youtube.com/vi/{self.video_id}/maxresdefault.jpg"
-
-    @property
-    def publish_date(self):
-        """Get the publish date.
-
-        :rtype: datetime
-        """
-        if self._publish_date:
-            return self._publish_date
-        self._publish_date = extract.publish_date(self.watch_html)
-        return self._publish_date
-
-    @publish_date.setter
-    def publish_date(self, value):
-        """Sets the publish date."""
-        self._publish_date = value
-
-    @property
-    def title(self) -> str:
-        """Get the video title.
-
-        :rtype: str
-        """
-        if self._title:
-            return self._title
-
-        try:
-            self._title = self.vid_info['videoDetails']['title']
-        except KeyError:
-            # Check_availability will raise the correct exception in most cases
-            #  if it doesn't, ask for a report.
-            self.check_availability()
-            raise exceptions.PytubeError(
-                (
-                    f'Exception while accessing title of {self.watch_url}. '
-                    'Please file a bug report at https://github.com/pytube/pytube'
-                )
-            )
-
-        return self._title
-
-    @title.setter
-    def title(self, value):
-        """Sets the title value."""
-        self._title = value
-
-    @property
-    def description(self) -> str:
-        """Get the video description.
-
-        :rtype: str
-        """
-        return self.vid_info.get("videoDetails", {}).get("shortDescription")
-
-    @property
-    def rating(self) -> float:
-        """Get the video average rating.
-
-        :rtype: float
-
-        """
-        return self.vid_info.get("videoDetails", {}).get("averageRating")
-
-    @property
-    def length(self) -> int:
-        """Get the video length in seconds.
-
-        :rtype: int
-        """
-        return int(self.vid_info.get('videoDetails', {}).get('lengthSeconds'))
-
-    @property
-    def views(self) -> int:
-        """Get the number of the times the video has been viewed.
-
-        :rtype: int
-        """
-        return int(self.vid_info.get("videoDetails", {}).get("viewCount"))
-
-    @property
-    def author(self) -> str:
-        """Get the video author.
-        :rtype: str
-        """
-        if self._author:
-            return self._author
-        self._author = self.vid_info.get("videoDetails", {}).get(
-            "author", "unknown"
-        )
-        return self._author
-
-    @author.setter
-    def author(self, value):
-        """Set the video author."""
-        self._author = value
-
-    @property
-    def keywords(self) -> List[str]:
-        """Get the video keywords.
-
-        :rtype: List[str]
-        """
-        return self.vid_info.get('videoDetails', {}).get('keywords', [])
-
-    @property
-    def channel_id(self) -> str:
-        """Get the video poster's channel id.
-
-        :rtype: str
-        """
-        return self.vid_info.get('videoDetails', {}).get('channelId', None)
-
-    @property
-    def channel_url(self) -> str:
-        """Construct the channel url for the video's poster from the channel id.
-
-        :rtype: str
-        """
-        return f'https://www.youtube.com/channel/{self.channel_id}'
-
-    @property
-    def metadata(self) -> Optional[YouTubeMetadata]:
-        """Get the metadata for the video.
-
-        :rtype: YouTubeMetadata
-        """
-        if self._metadata:
-            return self._metadata
-        else:
-            self._metadata = extract.metadata(self.initial_data)
-            return self._metadata
-
-    def register_on_progress_callback(self, func: Callable[[Any, bytes, int], None]):
-        """Register a download progress callback function post initialization.
-
-        :param callable func:
-            A callback function that takes ``stream``, ``chunk``,
-             and ``bytes_remaining`` as parameters.
-
-        :rtype: None
-
-        """
-        self.stream_monostate.on_progress = func
-
-    def register_on_complete_callback(self, func: Callable[[Any, Optional[str]], None]):
-        """Register a download complete callback function post initialization.
-
-        :param callable func:
-            A callback function that takes ``stream`` and  ``file_path``.
-
-        :rtype: None
-
-        """
-        self.stream_monostate.on_complete = func
-
-    @staticmethod
-    def from_id(video_id: str) -> "YouTube":
-        """Construct a :class:`YouTube <YouTube>` object from a video id.
-
-        :param str video_id:
-            The video id of the YouTube video.
-
-        :rtype: :class:`YouTube <YouTube>`
-        
-        """
-        return YouTube(f"https://www.youtube.com/watch?v={video_id}")

patched_packages/pytube/captions.py

@@ -1,164 +0,0 @@
-import math
-import os
-import time
-import json
-import xml.etree.ElementTree as ElementTree
-from html import unescape
-from typing import Dict, Optional
-
-from pytube import request
-from pytube.helpers import safe_filename, target_directory
-
-
-class Caption:
-    """Container for caption tracks."""
-
-    def __init__(self, caption_track: Dict):
-        """Construct a :class:`Caption <Caption>`.
-
-        :param dict caption_track:
-            Caption track data extracted from ``watch_html``.
-        """
-        self.url = caption_track.get("baseUrl")
-
-        # Certain videos have runs instead of simpleText
-        #  this handles that edge case
-        name_dict = caption_track['name']
-        if 'simpleText' in name_dict:
-            self.name = name_dict['simpleText']
-        else:
-            for el in name_dict['runs']:
-                if 'text' in el:
-                    self.name = el['text']
-
-        # Use "vssId" instead of "languageCode", fix issue #779
-        self.code = caption_track["vssId"]
-        # Remove preceding '.' for backwards compatibility, e.g.:
-        # English -> vssId: .en, languageCode: en
-        # English (auto-generated) -> vssId: a.en, languageCode: en
-        self.code = self.code.strip('.')
-
-    @property
-    def xml_captions(self) -> str:
-        """Download the xml caption tracks."""
-        return request.get(self.url)
-
-    @property
-    def json_captions(self) -> dict:
-        """Download and parse the json caption tracks."""
-        json_captions_url = self.url.replace('fmt=srv3','fmt=json3')
-        text = request.get(json_captions_url)
-        parsed = json.loads(text)
-        assert parsed['wireMagic'] == 'pb3', 'Unexpected captions format'
-        return parsed
-
-    def generate_srt_captions(self) -> str:
-        """Generate "SubRip Subtitle" captions.
-
-        Takes the xml captions from :meth:`~pytube.Caption.xml_captions` and
-        recompiles them into the "SubRip Subtitle" format.
-        """
-        return self.xml_caption_to_srt(self.xml_captions)
-
-    @staticmethod
-    def float_to_srt_time_format(d: float) -> str:
-        """Convert decimal durations into proper srt format.
-
-        :rtype: str
-        :returns:
-            SubRip Subtitle (str) formatted time duration.
-
-        float_to_srt_time_format(3.89) -> '00:00:03,890'
-        """
-        fraction, whole = math.modf(d)
-        time_fmt = time.strftime("%H:%M:%S,", time.gmtime(whole))
-        ms = f"{fraction:.3f}".replace("0.", "")
-        return time_fmt + ms
-
-    def xml_caption_to_srt(self, xml_captions: str) -> str:
-        """Convert xml caption tracks to "SubRip Subtitle (srt)".
-
-        :param str xml_captions:
-            XML formatted caption tracks.
-        """
-        segments = []
-        root = ElementTree.fromstring(xml_captions)
-        for i, child in enumerate(list(root)):
-            text = child.text or ""
-            caption = unescape(text.replace("\n", " ").replace("  ", " "),)
-            try:
-                duration = float(child.attrib["dur"])
-            except KeyError:
-                duration = 0.0
-            start = float(child.attrib["start"])
-            end = start + duration
-            sequence_number = i + 1  # convert from 0-indexed to 1.
-            line = "{seq}\n{start} --> {end}\n{text}\n".format(
-                seq=sequence_number,
-                start=self.float_to_srt_time_format(start),
-                end=self.float_to_srt_time_format(end),
-                text=caption,
-            )
-            segments.append(line)
-        return "\n".join(segments).strip()
-
-    def download(
-        self,
-        title: str,
-        srt: bool = True,
-        output_path: Optional[str] = None,
-        filename_prefix: Optional[str] = None,
-    ) -> str:
-        """Write the media stream to disk.
-
-        :param title:
-            Output filename (stem only) for writing media file.
-            If one is not specified, the default filename is used.
-        :type title: str
-        :param srt:
-            Set to True to download srt, false to download xml. Defaults to True.
-        :type srt bool
-        :param output_path:
-            (optional) Output path for writing media file. If one is not
-            specified, defaults to the current working directory.
-        :type output_path: str or None
-        :param filename_prefix:
-            (optional) A string that will be prepended to the filename.
-            For example a number in a playlist or the name of a series.
-            If one is not specified, nothing will be prepended
-            This is separate from filename so you can use the default
-            filename but still add a prefix.
-        :type filename_prefix: str or None
-
-        :rtype: str
-        """
-        if title.endswith(".srt") or title.endswith(".xml"):
-            filename = ".".join(title.split(".")[:-1])
-        else:
-            filename = title
-
-        if filename_prefix:
-            filename = f"{safe_filename(filename_prefix)}{filename}"
-
-        filename = safe_filename(filename)
-
-        filename += f" ({self.code})"
-
-        if srt:
-            filename += ".srt"
-        else:
-            filename += ".xml"
-
-        file_path = os.path.join(target_directory(output_path), filename)
-
-        with open(file_path, "w", encoding="utf-8") as file_handle:
-            if srt:
-                file_handle.write(self.generate_srt_captions())
-            else:
-                file_handle.write(self.xml_captions)
-
-        return file_path
-
-    def __repr__(self):
-        """Printable object representation."""
-        return '<Caption lang="{s.name}" code="{s.code}">'.format(s=self)

patched_packages/pytube/cipher.py

@@ -1,698 +0,0 @@
-"""
-This module contains all logic necessary to decipher the signature.
-
-YouTube's strategy to restrict downloading videos is to send a ciphered version
-of the signature to the client, along with the decryption algorithm obfuscated
-in JavaScript. For the clients to play the videos, JavaScript must take the
-ciphered version, cycle it through a series of "transform functions," and then
-signs the media URL with the output.
-
-This module is responsible for (1) finding and extracting those "transform
-functions" (2) maps them to Python equivalents and (3) taking the ciphered
-signature and decoding it.
-
-"""
-import logging
-import re
-from itertools import chain
-from typing import Any, Callable, Dict, List, Optional, Tuple
-
-from pytube.exceptions import ExtractError, RegexMatchError
-from pytube.helpers import cache, regex_search
-from pytube.parser import find_object_from_startpoint, throttling_array_split
-
-logger = logging.getLogger(__name__)
-
-
-class Cipher:
-    def __init__(self, js: str):
-        self.transform_plan: List[str] = get_transform_plan(js)
-        var_regex = re.compile(r"^\w+\W")
-        var_match = var_regex.search(self.transform_plan[0])
-        if not var_match:
-            raise RegexMatchError(
-                caller="__init__", pattern=var_regex.pattern
-            )
-        var = var_match.group(0)[:-1]
-        self.transform_map = get_transform_map(js, var)
-        self.js_func_patterns = [
-            r"\w+\.(\w+)\(\w,(\d+)\)",
-            r"\w+\[(\"\w+\")\]\(\w,(\d+)\)"
-        ]
-
-        self.throttling_plan = get_throttling_plan(js)
-        self.throttling_array = get_throttling_function_array(js)
-
-        self.calculated_n = None
-
-    def calculate_n(self, initial_n: list):
-        """Converts n to the correct value to prevent throttling."""
-        if self.calculated_n:
-            return self.calculated_n
-
-        # First, update all instances of 'b' with the list(initial_n)
-        for i in range(len(self.throttling_array)):
-            if self.throttling_array[i] == 'b':
-                self.throttling_array[i] = initial_n
-
-        for step in self.throttling_plan:
-            curr_func = self.throttling_array[int(step[0])]
-            if not callable(curr_func):
-                logger.debug(f'{curr_func} is not callable.')
-                logger.debug(f'Throttling array:\n{self.throttling_array}\n')
-                raise ExtractError(f'{curr_func} is not callable.')
-
-            first_arg = self.throttling_array[int(step[1])]
-
-            if len(step) == 2:
-                curr_func(first_arg)
-            elif len(step) == 3:
-                second_arg = self.throttling_array[int(step[2])]
-                curr_func(first_arg, second_arg)
-
-        self.calculated_n = ''.join(initial_n)
-        return self.calculated_n
-
-    def get_signature(self, ciphered_signature: str) -> str:
-        """Decipher the signature.
-
-        Taking the ciphered signature, applies the transform functions.
-
-        :param str ciphered_signature:
-            The ciphered signature sent in the ``player_config``.
-        :rtype: str
-        :returns:
-            Decrypted signature required to download the media content.
-        """
-        signature = list(ciphered_signature)
-
-        for js_func in self.transform_plan:
-            name, argument = self.parse_function(js_func)  # type: ignore
-            signature = self.transform_map[name](signature, argument)
-            logger.debug(
-                "applied transform function\n"
-                "output: %s\n"
-                "js_function: %s\n"
-                "argument: %d\n"
-                "function: %s",
-                "".join(signature),
-                name,
-                argument,
-                self.transform_map[name],
-            )
-
-        return "".join(signature)
-
-    @cache
-    def parse_function(self, js_func: str) -> Tuple[str, int]:
-        """Parse the Javascript transform function.
-
-        Break a JavaScript transform function down into a two element ``tuple``
-        containing the function name and some integer-based argument.
-
-        :param str js_func:
-            The JavaScript version of the transform function.
-        :rtype: tuple
-        :returns:
-            two element tuple containing the function name and an argument.
-
-        **Example**:
-
-        parse_function('DE.AJ(a,15)')
-        ('AJ', 15)
-
-        """
-        logger.debug("parsing transform function")
-        for pattern in self.js_func_patterns:
-            regex = re.compile(pattern)
-            parse_match = regex.search(js_func)
-            if parse_match:
-                fn_name, fn_arg = parse_match.groups()
-                return fn_name, int(fn_arg)
-
-        raise RegexMatchError(
-            caller="parse_function", pattern="js_func_patterns"
-        )
-
-
-def get_initial_function_name(js: str) -> str:
-    """Extract the name of the function responsible for computing the signature.
-    :param str js:
-        The contents of the base.js asset file.
-    :rtype: str
-    :returns:
-        Function name from regex match
-    """
-
-    function_patterns = [
-        r"\b[cs]\s*&&\s*[adf]\.set\([^,]+\s*,\s*encodeURIComponent\s*\(\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\b[a-zA-Z0-9]+\s*&&\s*[a-zA-Z0-9]+\.set\([^,]+\s*,\s*encodeURIComponent\s*\(\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r'(?:\b|[^a-zA-Z0-9$])(?P<sig>[a-zA-Z0-9$]{2})\s*=\s*function\(\s*a\s*\)\s*{\s*a\s*=\s*a\.split\(\s*""\s*\)',  # noqa: E501
-        r'(?P<sig>[a-zA-Z0-9$]+)\s*=\s*function\(\s*a\s*\)\s*{\s*a\s*=\s*a\.split\(\s*""\s*\)',  # noqa: E501
-        r'(["\'])signature\1\s*,\s*(?P<sig>[a-zA-Z0-9$]+)\(',
-        r"\.sig\|\|(?P<sig>[a-zA-Z0-9$]+)\(",
-        r"yt\.akamaized\.net/\)\s*\|\|\s*.*?\s*[cs]\s*&&\s*[adf]\.set\([^,]+\s*,\s*(?:encodeURIComponent\s*\()?\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\b[cs]\s*&&\s*[adf]\.set\([^,]+\s*,\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\b[a-zA-Z0-9]+\s*&&\s*[a-zA-Z0-9]+\.set\([^,]+\s*,\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\bc\s*&&\s*a\.set\([^,]+\s*,\s*\([^)]*\)\s*\(\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\bc\s*&&\s*[a-zA-Z0-9]+\.set\([^,]+\s*,\s*\([^)]*\)\s*\(\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-        r"\bc\s*&&\s*[a-zA-Z0-9]+\.set\([^,]+\s*,\s*\([^)]*\)\s*\(\s*(?P<sig>[a-zA-Z0-9$]+)\(",  # noqa: E501
-    ]
-    logger.debug("finding initial function name")
-    for pattern in function_patterns:
-        regex = re.compile(pattern)
-        function_match = regex.search(js)
-        if function_match:
-            logger.debug("finished regex search, matched: %s", pattern)
-            return function_match.group(1)
-
-    raise RegexMatchError(
-        caller="get_initial_function_name", pattern="multiple"
-    )
-
-
-def get_transform_plan(js: str) -> List[str]:
-    """Extract the "transform plan".
-
-    The "transform plan" is the functions that the ciphered signature is
-    cycled through to obtain the actual signature.
-
-    :param str js:
-        The contents of the base.js asset file.
-
-    **Example**:
-
-    ['DE.AJ(a,15)',
-    'DE.VR(a,3)',
-    'DE.AJ(a,51)',
-    'DE.VR(a,3)',
-    'DE.kT(a,51)',
-    'DE.kT(a,8)',
-    'DE.VR(a,3)',
-    'DE.kT(a,21)']
-    """
-    name = re.escape(get_initial_function_name(js))
-    pattern = r"%s=function\(\w\){[a-z=\.\(\"\)]*;(.*);(?:.+)}" % name
-    logger.debug("getting transform plan")
-    return regex_search(pattern, js, group=1).split(";")
-
-
-def get_transform_object(js: str, var: str) -> List[str]:
-    """Extract the "transform object".
-
-    The "transform object" contains the function definitions referenced in the
-    "transform plan". The ``var`` argument is the obfuscated variable name
-    which contains these functions, for example, given the function call
-    ``DE.AJ(a,15)`` returned by the transform plan, "DE" would be the var.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :param str var:
-        The obfuscated variable name that stores an object with all functions
-        that descrambles the signature.
-
-    **Example**:
-
-    >>> get_transform_object(js, 'DE')
-    ['AJ:function(a){a.reverse()}',
-    'VR:function(a,b){a.splice(0,b)}',
-    'kT:function(a,b){var c=a[0];a[0]=a[b%a.length];a[b]=c}']
-
-    """
-    pattern = r"var %s={(.*?)};" % re.escape(var)
-    logger.debug("getting transform object")
-    regex = re.compile(pattern, flags=re.DOTALL)
-    transform_match = regex.search(js)
-    if not transform_match:
-        raise RegexMatchError(caller="get_transform_object", pattern=pattern)
-
-    return transform_match.group(1).replace("\n", " ").split(", ")
-
-
-def get_transform_map(js: str, var: str) -> Dict:
-    """Build a transform function lookup.
-
-    Build a lookup table of obfuscated JavaScript function names to the
-    Python equivalents.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :param str var:
-        The obfuscated variable name that stores an object with all functions
-        that descrambles the signature.
-
-    """
-    transform_object = get_transform_object(js, var)
-    mapper = {}
-    for obj in transform_object:
-        # AJ:function(a){a.reverse()} => AJ, function(a){a.reverse()}
-        name, function = obj.split(":", 1)
-        fn = map_functions(function)
-        mapper[name] = fn
-    return mapper
-
-
-def get_throttling_function_name(js: str) -> str:
-    """Extract the name of the function that computes the throttling parameter.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :rtype: str
-    :returns:
-        The name of the function used to compute the throttling parameter.
-    """
-    function_patterns = [
-        # https://github.com/ytdl-org/youtube-dl/issues/29326#issuecomment-865985377
-        # https://github.com/yt-dlp/yt-dlp/commit/48416bc4a8f1d5ff07d5977659cb8ece7640dcd8
-        # var Bpa = [iha];
-        # ...
-        # a.C && (b = a.get("n")) && (b = Bpa[0](b), a.set("n", b),
-        # Bpa.length || iha("")) }};
-        # In the above case, `iha` is the relevant function name
-        r'a\.[a-zA-Z]\s*&&\s*\([a-z]\s*=\s*a\.get\("n"\)\)\s*&&\s*'
-        r'\([a-z]\s*=\s*([a-zA-Z0-9$]+)(\[\d+\])?\([a-z]\)',
-        r'\([a-z]\s*=\s*([a-zA-Z0-9$]+)(\[\d+\])\([a-z]\)',
-    ]
-    logger.debug('Finding throttling function name')
-    for pattern in function_patterns:
-        regex = re.compile(pattern)
-        function_match = regex.search(js)
-        if function_match:
-            logger.debug("finished regex search, matched: %s", pattern)
-            if len(function_match.groups()) == 1:
-                return function_match.group(1)
-            idx = function_match.group(2)
-            if idx:
-                idx = idx.strip("[]")
-                array = re.search(
-                    r'var {nfunc}\s*=\s*(\[.+?\]);'.format(
-                        nfunc=re.escape(function_match.group(1))),
-                    js
-                )
-                if array:
-                    array = array.group(1).strip("[]").split(",")
-                    array = [x.strip() for x in array]
-                    return array[int(idx)]
-
-    raise RegexMatchError(
-        caller="get_throttling_function_name", pattern="multiple"
-    )
-
-
-def get_throttling_function_code(js: str) -> str:
-    """Extract the raw code for the throttling function.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :rtype: str
-    :returns:
-        The name of the function used to compute the throttling parameter.
-    """
-    # Begin by extracting the correct function name
-    name = re.escape(get_throttling_function_name(js))
-
-    # Identify where the function is defined
-    pattern_start = r"%s=function\(\w\)" % name
-    regex = re.compile(pattern_start)
-    match = regex.search(js)
-
-    # Extract the code within curly braces for the function itself, and merge any split lines
-    code_lines_list = find_object_from_startpoint(js, match.span()[1]).split('\n')
-    joined_lines = "".join(code_lines_list)
-
-    # Prepend function definition (e.g. `Dea=function(a)`)
-    return match.group(0) + joined_lines
-
-
-def get_throttling_function_array(js: str) -> List[Any]:
-    """Extract the "c" array.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :returns:
-        The array of various integers, arrays, and functions.
-    """
-    raw_code = get_throttling_function_code(js)
-
-    array_start = r",c=\["
-    array_regex = re.compile(array_start)
-    match = array_regex.search(raw_code)
-
-    array_raw = find_object_from_startpoint(raw_code, match.span()[1] - 1)
-    str_array = throttling_array_split(array_raw)
-
-    converted_array = []
-    for el in str_array:
-        try:
-            converted_array.append(int(el))
-            continue
-        except ValueError:
-            # Not an integer value.
-            pass
-
-        if el == 'null':
-            converted_array.append(None)
-            continue
-
-        if el.startswith('"') and el.endswith('"'):
-            # Convert e.g. '"abcdef"' to string without quotation marks, 'abcdef'
-            converted_array.append(el[1:-1])
-            continue
-
-        if el.startswith('function'):
-            mapper = (
-                (r"{for\(\w=\(\w%\w\.length\+\w\.length\)%\w\.length;\w--;\)\w\.unshift\(\w.pop\(\)\)}", throttling_unshift),  # noqa:E501
-                (r"{\w\.reverse\(\)}", throttling_reverse),
-                (r"{\w\.push\(\w\)}", throttling_push),
-                (r";var\s\w=\w\[0\];\w\[0\]=\w\[\w\];\w\[\w\]=\w}", throttling_swap),
-                (r"case\s\d+", throttling_cipher_function),
-                (r"\w\.splice\(0,1,\w\.splice\(\w,1,\w\[0\]\)\[0\]\)", throttling_nested_splice),  # noqa:E501
-                (r";\w\.splice\(\w,1\)}", js_splice),
-                (r"\w\.splice\(-\w\)\.reverse\(\)\.forEach\(function\(\w\){\w\.unshift\(\w\)}\)", throttling_prepend),  # noqa:E501
-                (r"for\(var \w=\w\.length;\w;\)\w\.push\(\w\.splice\(--\w,1\)\[0\]\)}", throttling_reverse),  # noqa:E501
-            )
-
-            found = False
-            for pattern, fn in mapper:
-                if re.search(pattern, el):
-                    converted_array.append(fn)
-                    found = True
-            if found:
-                continue
-
-        converted_array.append(el)
-
-    # Replace null elements with array itself
-    for i in range(len(converted_array)):
-        if converted_array[i] is None:
-            converted_array[i] = converted_array
-
-    return converted_array
-
-
-def get_throttling_plan(js: str):
-    """Extract the "throttling plan".
-
-    The "throttling plan" is a list of tuples used for calling functions
-    in the c array. The first element of the tuple is the index of the
-    function to call, and any remaining elements of the tuple are arguments
-    to pass to that function.
-
-    :param str js:
-        The contents of the base.js asset file.
-    :returns:
-        The full function code for computing the throttlign parameter.
-    """
-    raw_code = get_throttling_function_code(js)
-
-    transform_start = r"try{"
-    plan_regex = re.compile(transform_start)
-    match = plan_regex.search(raw_code)
-
-    transform_plan_raw = find_object_from_startpoint(raw_code, match.span()[1] - 1)
-
-    # Steps are either c[x](c[y]) or c[x](c[y],c[z])
-    step_start = r"c\[(\d+)\]\(c\[(\d+)\](,c(\[(\d+)\]))?\)"
-    step_regex = re.compile(step_start)
-    matches = step_regex.findall(transform_plan_raw)
-    transform_steps = []
-    for match in matches:
-        if match[4] != '':
-            transform_steps.append((match[0],match[1],match[4]))
-        else:
-            transform_steps.append((match[0],match[1]))
-
-    return transform_steps
-
-
-def reverse(arr: List, _: Optional[Any]):
-    """Reverse elements in a list.
-
-    This function is equivalent to:
-
-    .. code-block:: javascript
-
-        function(a, b) { a.reverse() }
-
-    This method takes an unused ``b`` variable as their transform functions
-    universally sent two arguments.
-
-    **Example**:
-
-    >>> reverse([1, 2, 3, 4])
-    [4, 3, 2, 1]
-    """
-    return arr[::-1]
-
-
-def splice(arr: List, b: int):
-    """Add/remove items to/from a list.
-
-    This function is equivalent to:
-
-    .. code-block:: javascript
-
-        function(a, b) { a.splice(0, b) }
-
-    **Example**:
-
-    >>> splice([1, 2, 3, 4], 2)
-    [1, 2]
-    """
-    return arr[b:]
-
-
-def swap(arr: List, b: int):
-    """Swap positions at b modulus the list length.
-
-    This function is equivalent to:
-
-    .. code-block:: javascript
-
-        function(a, b) { var c=a[0];a[0]=a[b%a.length];a[b]=c }
-
-    **Example**:
-
-    >>> swap([1, 2, 3, 4], 2)
-    [3, 2, 1, 4]
-    """
-    r = b % len(arr)
-    return list(chain([arr[r]], arr[1:r], [arr[0]], arr[r + 1 :]))
-
-
-def throttling_reverse(arr: list):
-    """Reverses the input list.
-
-    Needs to do an in-place reversal so that the passed list gets changed.
-    To accomplish this, we create a reversed copy, and then change each
-    indvidual element.
-    """
-    reverse_copy = arr.copy()[::-1]
-    for i in range(len(reverse_copy)):
-        arr[i] = reverse_copy[i]
-
-
-def throttling_push(d: list, e: Any):
-    """Pushes an element onto a list."""
-    d.append(e)
-
-
-def throttling_mod_func(d: list, e: int):
-    """Perform the modular function from the throttling array functions.
-
-    In the javascript, the modular operation is as follows:
-    e = (e % d.length + d.length) % d.length
-
-    We simply translate this to python here.
-    """
-    return (e % len(d) + len(d)) % len(d)
-
-
-def throttling_unshift(d: list, e: int):
-    """Rotates the elements of the list to the right.
-
-    In the javascript, the operation is as follows:
-    for(e=(e%d.length+d.length)%d.length;e--;)d.unshift(d.pop())
-    """
-    e = throttling_mod_func(d, e)
-    new_arr = d[-e:] + d[:-e]
-    d.clear()
-    for el in new_arr:
-        d.append(el)
-
-
-def throttling_cipher_function(d: list, e: str):
-    """This ciphers d with e to generate a new list.
-
-    In the javascript, the operation is as follows:
-    var h = [A-Za-z0-9-_], f = 96;  // simplified from switch-case loop
-    d.forEach(
-        function(l,m,n){
-            this.push(
-                n[m]=h[
-                    (h.indexOf(l)-h.indexOf(this[m])+m-32+f--)%h.length
-                ]
-            )
-        },
-        e.split("")
-    )
-    """
-    h = list('ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_')
-    f = 96
-    # by naming it "this" we can more closely reflect the js
-    this = list(e)
-
-    # This is so we don't run into weirdness with enumerate while
-    #  we change the input list
-    copied_list = d.copy()
-
-    for m, l in enumerate(copied_list):
-        bracket_val = (h.index(l) - h.index(this[m]) + m - 32 + f) % len(h)
-        this.append(
-            h[bracket_val]
-        )
-        d[m] = h[bracket_val]
-        f -= 1
-
-
-def throttling_nested_splice(d: list, e: int):
-    """Nested splice function in throttling js.
-
-    In the javascript, the operation is as follows:
-    function(d,e){
-        e=(e%d.length+d.length)%d.length;
-        d.splice(
-            0,
-            1,
-            d.splice(
-                e,
-                1,
-                d[0]
-            )[0]
-        )
-    }
-
-    While testing, all this seemed to do is swap element 0 and e,
-    but the actual process is preserved in case there was an edge
-    case that was not considered.
-    """
-    e = throttling_mod_func(d, e)
-    inner_splice = js_splice(
-        d,
-        e,
-        1,
-        d[0]
-    )
-    js_splice(
-        d,
-        0,
-        1,
-        inner_splice[0]
-    )
-
-
-def throttling_prepend(d: list, e: int):
-    """
-
-    In the javascript, the operation is as follows:
-    function(d,e){
-        e=(e%d.length+d.length)%d.length;
-        d.splice(-e).reverse().forEach(
-            function(f){
-                d.unshift(f)
-            }
-        )
-    }
-
-    Effectively, this moves the last e elements of d to the beginning.
-    """
-    start_len = len(d)
-    # First, calculate e
-    e = throttling_mod_func(d, e)
-
-    # Then do the prepending
-    new_arr = d[-e:] + d[:-e]
-
-    # And update the input list
-    d.clear()
-    for el in new_arr:
-        d.append(el)
-
-    end_len = len(d)
-    assert start_len == end_len
-
-
-def throttling_swap(d: list, e: int):
-    """Swap positions of the 0'th and e'th elements in-place."""
-    e = throttling_mod_func(d, e)
-    f = d[0]
-    d[0] = d[e]
-    d[e] = f
-
-
-def js_splice(arr: list, start: int, delete_count=None, *items):
-    """Implementation of javascript's splice function.
-
-    :param list arr:
-        Array to splice
-    :param int start:
-        Index at which to start changing the array
-    :param int delete_count:
-        Number of elements to delete from the array
-    :param *items:
-        Items to add to the array
-
-    Reference: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/splice  # noqa:E501
-    """
-    # Special conditions for start value
-    try:
-        if start > len(arr):
-            start = len(arr)
-        # If start is negative, count backwards from end
-        if start < 0:
-            start = len(arr) - start
-    except TypeError:
-        # Non-integer start values are treated as 0 in js
-        start = 0
-
-    # Special condition when delete_count is greater than remaining elements
-    if not delete_count or delete_count >= len(arr) - start:
-        delete_count = len(arr) - start  # noqa: N806
-
-    deleted_elements = arr[start:start + delete_count]
-
-    # Splice appropriately.
-    new_arr = arr[:start] + list(items) + arr[start + delete_count:]
-
-    # Replace contents of input array
-    arr.clear()
-    for el in new_arr:
-        arr.append(el)
-
-    return deleted_elements
-
-
-def map_functions(js_func: str) -> Callable:
-    """For a given JavaScript transform function, return the Python equivalent.
-
-    :param str js_func:
-        The JavaScript version of the transform function.
-    """
-    mapper = (
-        # function(a){a.reverse()}
-        (r"{\w\.reverse\(\)}", reverse),
-        # function(a,b){a.splice(0,b)}
-        (r"{\w\.splice\(0,\w\)}", splice),
-        # function(a,b){var c=a[0];a[0]=a[b%a.length];a[b]=c}
-        (r"{var\s\w=\w\[0\];\w\[0\]=\w\[\w\%\w.length\];\w\[\w\]=\w}", swap),
-        # function(a,b){var c=a[0];a[0]=a[b%a.length];a[b%a.length]=c}
-        (
-            r"{var\s\w=\w\[0\];\w\[0\]=\w\[\w\%\w.length\];\w\[\w\%\w.length\]=\w}",
-            swap,
-        ),
-    )
-
-    for pattern, fn in mapper:
-        if re.search(pattern, js_func):
-            return fn
-    raise RegexMatchError(caller="map_functions", pattern="multiple")

patched_packages/pytube/cli.py

@@ -1,560 +0,0 @@
-#!/usr/bin/env python3
-"""A simple command line application to download youtube videos."""
-import argparse
-import gzip
-import json
-import logging
-import os
-import shutil
-import sys
-import datetime as dt
-import subprocess  # nosec
-from typing import List, Optional
-
-import pytube.exceptions as exceptions
-from pytube import __version__
-from pytube import CaptionQuery, Playlist, Stream, YouTube
-from pytube.helpers import safe_filename, setup_logger
-
-
-logger = logging.getLogger(__name__)
-
-
-def main():
-    """Command line application to download youtube videos."""
-    # noinspection PyTypeChecker
-    parser = argparse.ArgumentParser(description=main.__doc__)
-    args = _parse_args(parser)
-    if args.verbose:
-        log_filename = None
-        if args.logfile:
-            log_filename = args.logfile
-        setup_logger(logging.DEBUG, log_filename=log_filename)
-        logger.debug(f'Pytube version: {__version__}')
-
-    if not args.url or "youtu" not in args.url:
-        parser.print_help()
-        sys.exit(1)
-
-    if "/playlist" in args.url:
-        print("Loading playlist...")
-        playlist = Playlist(args.url)
-        if not args.target:
-            args.target = safe_filename(playlist.title)
-        for youtube_video in playlist.videos:
-            try:
-                _perform_args_on_youtube(youtube_video, args)
-            except exceptions.PytubeError as e:
-                print(f"There was an error with video: {youtube_video}")
-                print(e)
-    else:
-        print("Loading video...")
-        youtube = YouTube(args.url)
-        _perform_args_on_youtube(youtube, args)
-
-
-def _perform_args_on_youtube(
-    youtube: YouTube, args: argparse.Namespace
-) -> None:
-    if len(sys.argv) == 2 :  # no arguments parsed
-        download_highest_resolution_progressive(
-            youtube=youtube, resolution="highest", target=args.target
-        )
-    if args.list_captions:
-        _print_available_captions(youtube.captions)
-    if args.list:
-        display_streams(youtube)
-    if args.build_playback_report:
-        build_playback_report(youtube)
-    if args.itag:
-        download_by_itag(youtube=youtube, itag=args.itag, target=args.target)
-    if args.caption_code:
-        download_caption(
-            youtube=youtube, lang_code=args.caption_code, target=args.target
-        )
-    if args.resolution:
-        download_by_resolution(
-            youtube=youtube, resolution=args.resolution, target=args.target
-        )
-    if args.audio:
-        download_audio(
-            youtube=youtube, filetype=args.audio, target=args.target
-        )
-    if args.ffmpeg:
-        ffmpeg_process(
-            youtube=youtube, resolution=args.ffmpeg, target=args.target
-        )
-
-
-def _parse_args(
-    parser: argparse.ArgumentParser, args: Optional[List] = None
-) -> argparse.Namespace:
-    parser.add_argument(
-        "url", help="The YouTube /watch or /playlist url", nargs="?"
-    )
-    parser.add_argument(
-        "--version", action="version", version="%(prog)s " + __version__,
-    )
-    parser.add_argument(
-        "--itag", type=int, help="The itag for the desired stream",
-    )
-    parser.add_argument(
-        "-r",
-        "--resolution",
-        type=str,
-        help="The resolution for the desired stream",
-    )
-    parser.add_argument(
-        "-l",
-        "--list",
-        action="store_true",
-        help=(
-            "The list option causes pytube cli to return a list of streams "
-            "available to download"
-        ),
-    )
-    parser.add_argument(
-        "-v",
-        "--verbose",
-        action="store_true",
-        dest="verbose",
-        help="Set logger output to verbose output.",
-    )
-    parser.add_argument(
-        "--logfile",
-        action="store",
-        help="logging debug and error messages into a log file",
-    )
-    parser.add_argument(
-        "--build-playback-report",
-        action="store_true",
-        help="Save the html and js to disk",
-    )
-    parser.add_argument(
-        "-c",
-        "--caption-code",
-        type=str,
-        help=(
-            "Download srt captions for given language code. "
-            "Prints available language codes if no argument given"
-        ),
-    )
-    parser.add_argument(
-        '-lc',
-        '--list-captions',
-        action='store_true',
-        help=(
-            "List available caption codes for a video"
-        )
-    )
-    parser.add_argument(
-        "-t",
-        "--target",
-        help=(
-            "The output directory for the downloaded stream. "
-            "Default is current working directory"
-        ),
-    )
-    parser.add_argument(
-        "-a",
-        "--audio",
-        const="mp4",
-        nargs="?",
-        help=(
-            "Download the audio for a given URL at the highest bitrate available. "
-            "Defaults to mp4 format if none is specified"
-        ),
-    )
-    parser.add_argument(
-        "-f",
-        "--ffmpeg",
-        const="best",
-        nargs="?",
-        help=(
-            "Downloads the audio and video stream for resolution provided. "
-            "If no resolution is provided, downloads the best resolution. "
-            "Runs the command line program ffmpeg to combine the audio and video"
-        ),
-    )
-
-    return parser.parse_args(args)
-
-
-def build_playback_report(youtube: YouTube) -> None:
-    """Serialize the request data to json for offline debugging.
-
-    :param YouTube youtube:
-        A YouTube object.
-    """
-    ts = int(dt.datetime.utcnow().timestamp())
-    fp = os.path.join(os.getcwd(), f"yt-video-{youtube.video_id}-{ts}.json.gz")
-
-    js = youtube.js
-    watch_html = youtube.watch_html
-    vid_info = youtube.vid_info
-
-    with gzip.open(fp, "wb") as fh:
-        fh.write(
-            json.dumps(
-                {
-                    "url": youtube.watch_url,
-                    "js": js,
-                    "watch_html": watch_html,
-                    "video_info": vid_info,
-                }
-            ).encode("utf8"),
-        )
-
-
-def display_progress_bar(
-    bytes_received: int, filesize: int, ch: str = "█", scale: float = 0.55
-) -> None:
-    """Display a simple, pretty progress bar.
-
-    Example:
-    ~~~~~~~~
-    PSY - GANGNAM STYLE(강남스타일) MV.mp4
-    ↳ |███████████████████████████████████████| 100.0%
-
-    :param int bytes_received:
-        The delta between the total file size (bytes) and bytes already
-        written to disk.
-    :param int filesize:
-        File size of the media stream in bytes.
-    :param str ch:
-        Character to use for presenting progress segment.
-    :param float scale:
-        Scale multiplier to reduce progress bar size.
-
-    """
-    columns = shutil.get_terminal_size().columns
-    max_width = int(columns * scale)
-
-    filled = int(round(max_width * bytes_received / float(filesize)))
-    remaining = max_width - filled
-    progress_bar = ch * filled + " " * remaining
-    percent = round(100.0 * bytes_received / float(filesize), 1)
-    text = f" ↳ |{progress_bar}| {percent}%\r"
-    sys.stdout.write(text)
-    sys.stdout.flush()
-
-
-# noinspection PyUnusedLocal
-def on_progress(
-    stream: Stream, chunk: bytes, bytes_remaining: int
-) -> None:  # pylint: disable=W0613
-    filesize = stream.filesize
-    bytes_received = filesize - bytes_remaining
-    display_progress_bar(bytes_received, filesize)
-
-
-def _download(
-    stream: Stream,
-    target: Optional[str] = None,
-    filename: Optional[str] = None,
-) -> None:
-    filesize_megabytes = stream.filesize // 1048576
-    print(f"{filename or stream.default_filename} | {filesize_megabytes} MB")
-    file_path = stream.get_file_path(filename=filename, output_path=target)
-    if stream.exists_at_path(file_path):
-        print(f"Already downloaded at:\n{file_path}")
-        return
-
-    stream.download(output_path=target, filename=filename)
-    sys.stdout.write("\n")
-
-
-def _unique_name(base: str, subtype: str, media_type: str, target: str) -> str:
-    """
-    Given a base name, the file format, and the target directory, will generate
-    a filename unique for that directory and file format.
-    :param str base:
-        The given base-name.
-    :param str subtype:
-        The filetype of the video which will be downloaded.
-    :param str media_type:
-        The media_type of the file, ie. "audio" or "video"
-    :param Path target:
-        Target directory for download.
-    """
-    counter = 0
-    while True:
-        file_name = f"{base}_{media_type}_{counter}"
-        file_path = os.path.join(target, f"{file_name}.{subtype}")
-        if not os.path.exists(file_path):
-            return file_name
-        counter += 1
-
-
-def ffmpeg_process(
-    youtube: YouTube, resolution: str, target: Optional[str] = None
-) -> None:
-    """
-    Decides the correct video stream to download, then calls _ffmpeg_downloader.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param str resolution:
-        YouTube video resolution.
-    :param str target:
-        Target directory for download
-    """
-    youtube.register_on_progress_callback(on_progress)
-    target = target or os.getcwd()
-
-    if resolution == "best":
-        highest_quality_stream = (
-            youtube.streams.filter(progressive=False)
-            .order_by("resolution")
-            .last()
-        )
-        mp4_stream = (
-            youtube.streams.filter(progressive=False, subtype="mp4")
-            .order_by("resolution")
-            .last()
-        )
-        if highest_quality_stream.resolution == mp4_stream.resolution:
-            video_stream = mp4_stream
-        else:
-            video_stream = highest_quality_stream
-    else:
-        video_stream = youtube.streams.filter(
-            progressive=False, resolution=resolution, subtype="mp4"
-        ).first()
-        if not video_stream:
-            video_stream = youtube.streams.filter(
-                progressive=False, resolution=resolution
-            ).first()
-    if video_stream is None:
-        print(f"Could not find a stream with resolution: {resolution}")
-        print("Try one of these:")
-        display_streams(youtube)
-        sys.exit()
-
-    audio_stream = youtube.streams.get_audio_only(video_stream.subtype)
-    if not audio_stream:
-        audio_stream = (
-            youtube.streams.filter(only_audio=True).order_by("abr").last()
-        )
-    if not audio_stream:
-        print("Could not find an audio only stream")
-        sys.exit()
-    _ffmpeg_downloader(
-        audio_stream=audio_stream, video_stream=video_stream, target=target
-    )
-
-
-def _ffmpeg_downloader(
-    audio_stream: Stream, video_stream: Stream, target: str
-) -> None:
-    """
-    Given a YouTube Stream object, finds the correct audio stream, downloads them both
-    giving them a unique name, them uses ffmpeg to create a new file with the audio
-    and video from the previously downloaded files. Then deletes the original adaptive
-    streams, leaving the combination.
-
-    :param Stream audio_stream:
-        A valid Stream object representing the audio to download
-    :param Stream video_stream:
-        A valid Stream object representing the video to download
-    :param Path target:
-        A valid Path object
-    """
-    video_unique_name = _unique_name(
-        safe_filename(video_stream.title),
-        video_stream.subtype,
-        "video",
-        target=target,
-    )
-    audio_unique_name = _unique_name(
-        safe_filename(video_stream.title),
-        audio_stream.subtype,
-        "audio",
-        target=target,
-    )
-    _download(stream=video_stream, target=target, filename=video_unique_name)
-    print("Loading audio...")
-    _download(stream=audio_stream, target=target, filename=audio_unique_name)
-
-    video_path = os.path.join(
-        target, f"{video_unique_name}.{video_stream.subtype}"
-    )
-    audio_path = os.path.join(
-        target, f"{audio_unique_name}.{audio_stream.subtype}"
-    )
-    final_path = os.path.join(
-        target, f"{safe_filename(video_stream.title)}.{video_stream.subtype}"
-    )
-
-    subprocess.run(  # nosec
-        [
-            "ffmpeg",
-            "-i",
-            video_path,
-            "-i",
-            audio_path,
-            "-codec",
-            "copy",
-            final_path,
-        ]
-    )
-    os.unlink(video_path)
-    os.unlink(audio_path)
-
-
-def download_by_itag(
-    youtube: YouTube, itag: int, target: Optional[str] = None
-) -> None:
-    """Start downloading a YouTube video.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param int itag:
-        YouTube format identifier code.
-    :param str target:
-        Target directory for download
-    """
-    stream = youtube.streams.get_by_itag(itag)
-    if stream is None:
-        print(f"Could not find a stream with itag: {itag}")
-        print("Try one of these:")
-        display_streams(youtube)
-        sys.exit()
-
-    youtube.register_on_progress_callback(on_progress)
-
-    try:
-        _download(stream, target=target)
-    except KeyboardInterrupt:
-        sys.exit()
-
-
-def download_by_resolution(
-    youtube: YouTube, resolution: str, target: Optional[str] = None
-) -> None:
-    """Start downloading a YouTube video.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param str resolution:
-        YouTube video resolution.
-    :param str target:
-        Target directory for download
-    """
-    # TODO(nficano): allow dash itags to be selected
-    stream = youtube.streams.get_by_resolution(resolution)
-    if stream is None:
-        print(f"Could not find a stream with resolution: {resolution}")
-        print("Try one of these:")
-        display_streams(youtube)
-        sys.exit()
-
-    youtube.register_on_progress_callback(on_progress)
-
-    try:
-        _download(stream, target=target)
-    except KeyboardInterrupt:
-        sys.exit()
-
-
-def download_highest_resolution_progressive(
-    youtube: YouTube, resolution: str, target: Optional[str] = None
-) -> None:
-    """Start downloading the highest resolution progressive stream.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param str resolution:
-        YouTube video resolution.
-    :param str target:
-        Target directory for download
-    """
-    youtube.register_on_progress_callback(on_progress)
-    try:
-        stream = youtube.streams.get_highest_resolution()
-    except exceptions.VideoUnavailable as err:
-        print(f"No video streams available: {err}")
-    else:
-        try:
-            _download(stream, target=target)
-        except KeyboardInterrupt:
-            sys.exit()
-
-
-def display_streams(youtube: YouTube) -> None:
-    """Probe YouTube video and lists its available formats.
-
-    :param YouTube youtube:
-        A valid YouTube watch URL.
-
-    """
-    for stream in youtube.streams:
-        print(stream)
-
-
-def _print_available_captions(captions: CaptionQuery) -> None:
-    print(
-        f"Available caption codes are: {', '.join(c.code for c in captions)}"
-    )
-
-
-def download_caption(
-    youtube: YouTube, lang_code: Optional[str], target: Optional[str] = None
-) -> None:
-    """Download a caption for the YouTube video.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param str lang_code:
-        Language code desired for caption file.
-        Prints available codes if the value is None
-        or the desired code is not available.
-    :param str target:
-        Target directory for download
-    """
-    try:
-        caption = youtube.captions[lang_code]
-        downloaded_path = caption.download(
-            title=youtube.title, output_path=target
-        )
-        print(f"Saved caption file to: {downloaded_path}")
-    except KeyError:
-        print(f"Unable to find caption with code: {lang_code}")
-        _print_available_captions(youtube.captions)
-
-
-def download_audio(
-    youtube: YouTube, filetype: str, target: Optional[str] = None
-) -> None:
-    """
-    Given a filetype, downloads the highest quality available audio stream for a
-    YouTube video.
-
-    :param YouTube youtube:
-        A valid YouTube object.
-    :param str filetype:
-        Desired file format to download.
-    :param str target:
-        Target directory for download
-    """
-    audio = (
-        youtube.streams.filter(only_audio=True, subtype=filetype)
-        .order_by("abr")
-        .last()
-    )
-
-    if audio is None:
-        print("No audio only stream found. Try one of these:")
-        display_streams(youtube)
-        sys.exit()
-
-    youtube.register_on_progress_callback(on_progress)
-
-    try:
-        _download(audio, target=target)
-    except KeyboardInterrupt:
-        sys.exit()
-
-
-if __name__ == "__main__":
-    main()

patched_packages/pytube/contrib/channel.py

@@ -1,201 +0,0 @@
-# -*- coding: utf-8 -*-
-"""Module for interacting with a user's youtube channel."""
-import json
-import logging
-from typing import Dict, List, Optional, Tuple
-
-from pytube import extract, Playlist, request
-from pytube.helpers import uniqueify
-
-logger = logging.getLogger(__name__)
-
-
-class Channel(Playlist):
-    def __init__(self, url: str, proxies: Optional[Dict[str, str]] = None):
-        """Construct a :class:`Channel <Channel>`.
-
-        :param str url:
-            A valid YouTube channel URL.
-        :param proxies:
-            (Optional) A dictionary of proxies to use for web requests.
-        """
-        super().__init__(url, proxies)
-
-        self.channel_uri = extract.channel_name(url)
-
-        self.channel_url = (
-            f"https://www.youtube.com{self.channel_uri}"
-        )
-
-        self.videos_url = self.channel_url + '/videos'
-        self.playlists_url = self.channel_url + '/playlists'
-        self.community_url = self.channel_url + '/community'
-        self.featured_channels_url = self.channel_url + '/channels'
-        self.about_url = self.channel_url + '/about'
-
-        # Possible future additions
-        self._playlists_html = None
-        self._community_html = None
-        self._featured_channels_html = None
-        self._about_html = None
-
-    @property
-    def channel_name(self):
-        """Get the name of the YouTube channel.
-
-        :rtype: str
-        """
-        return self.initial_data['metadata']['channelMetadataRenderer']['title']
-
-    @property
-    def channel_id(self):
-        """Get the ID of the YouTube channel.
-
-        This will return the underlying ID, not the vanity URL.
-
-        :rtype: str
-        """
-        return self.initial_data['metadata']['channelMetadataRenderer']['externalId']
-
-    @property
-    def vanity_url(self):
-        """Get the vanity URL of the YouTube channel.
-
-        Returns None if it doesn't exist.
-
-        :rtype: str
-        """
-        return self.initial_data['metadata']['channelMetadataRenderer'].get('vanityChannelUrl', None)  # noqa:E501
-
-    @property
-    def html(self):
-        """Get the html for the /videos page.
-
-        :rtype: str
-        """
-        if self._html:
-            return self._html
-        self._html = request.get(self.videos_url)
-        return self._html
-
-    @property
-    def playlists_html(self):
-        """Get the html for the /playlists page.
-
-        Currently unused for any functionality.
-
-        :rtype: str
-        """
-        if self._playlists_html:
-            return self._playlists_html
-        else:
-            self._playlists_html = request.get(self.playlists_url)
-            return self._playlists_html
-
-    @property
-    def community_html(self):
-        """Get the html for the /community page.
-
-        Currently unused for any functionality.
-
-        :rtype: str
-        """
-        if self._community_html:
-            return self._community_html
-        else:
-            self._community_html = request.get(self.community_url)
-            return self._community_html
-
-    @property
-    def featured_channels_html(self):
-        """Get the html for the /channels page.
-
-        Currently unused for any functionality.
-
-        :rtype: str
-        """
-        if self._featured_channels_html:
-            return self._featured_channels_html
-        else:
-            self._featured_channels_html = request.get(self.featured_channels_url)
-            return self._featured_channels_html
-
-    @property
-    def about_html(self):
-        """Get the html for the /about page.
-
-        Currently unused for any functionality.
-
-        :rtype: str
-        """
-        if self._about_html:
-            return self._about_html
-        else:
-            self._about_html = request.get(self.about_url)
-            return self._about_html
-
-    @staticmethod
-    def _extract_videos(raw_json: str) -> Tuple[List[str], Optional[str]]:
-        """Extracts videos from a raw json page
-
-        :param str raw_json: Input json extracted from the page or the last
-            server response
-        :rtype: Tuple[List[str], Optional[str]]
-        :returns: Tuple containing a list of up to 100 video watch ids and
-            a continuation token, if more videos are available
-        """
-        initial_data = json.loads(raw_json)
-        # this is the json tree structure, if the json was extracted from
-        # html
-        try:
-            videos = initial_data["contents"][
-                "twoColumnBrowseResultsRenderer"][
-                "tabs"][1]["tabRenderer"]["content"][
-                "sectionListRenderer"]["contents"][0][
-                "itemSectionRenderer"]["contents"][0][
-                "gridRenderer"]["items"]
-        except (KeyError, IndexError, TypeError):
-            try:
-                # this is the json tree structure, if the json was directly sent
-                # by the server in a continuation response
-                important_content = initial_data[1]['response']['onResponseReceivedActions'][
-                    0
-                ]['appendContinuationItemsAction']['continuationItems']
-                videos = important_content
-            except (KeyError, IndexError, TypeError):
-                try:
-                    # this is the json tree structure, if the json was directly sent
-                    # by the server in a continuation response
-                    # no longer a list and no longer has the "response" key
-                    important_content = initial_data['onResponseReceivedActions'][0][
-                        'appendContinuationItemsAction']['continuationItems']
-                    videos = important_content
-                except (KeyError, IndexError, TypeError) as p:
-                    logger.info(p)
-                    return [], None
-
-        try:
-            continuation = videos[-1]['continuationItemRenderer'][
-                'continuationEndpoint'
-            ]['continuationCommand']['token']
-            videos = videos[:-1]
-        except (KeyError, IndexError):
-            # if there is an error, no continuation is available
-            continuation = None
-
-        # remove duplicates
-        return (
-            uniqueify(
-                list(
-                    # only extract the video ids from the video data
-                    map(
-                        lambda x: (
-                            f"/watch?v="
-                            f"{x['gridVideoRenderer']['videoId']}"
-                        ),
-                        videos
-                    )
-                ),
-            ),
-            continuation,
-        )