123 lines
3.9 KiB
Python
123 lines
3.9 KiB
Python
from os import environ, path
|
|
from datetime import timedelta
|
|
|
|
basedir = path.abspath(path.dirname(__file__))
|
|
|
|
|
|
class Config(object):
|
|
DEBUG = False
|
|
DEVELOPMENT = False
|
|
SECRET_KEY = '97867c1491bea5ee6a8e8436eb11bf2ba6a69ff53ab1b17ecba450d0f2e572e1'
|
|
SESSION_COOKIE_SECURE = True
|
|
SESSION_COOKIE_HTTPONLY = True
|
|
|
|
# WTF_CSRF_ENABLED = True
|
|
|
|
# flask-security-too settings
|
|
SECURITY_PASSWORD_SALT = '228614859439123264035565568761433607235'
|
|
REMEMBER_COOKIE_SAMESITE = 'strict'
|
|
SESSION_COOKIE_SAMESITE = 'strict'
|
|
SECURITY_CONFIRMABLE = True
|
|
SECURITY_TRACKABLE = True
|
|
SECURITY_PASSWORD_COMPLEXITY_CHECKER = 'zxcvbn'
|
|
SECURITY_POST_LOGIN_VIEW = '/user/tenant_overview'
|
|
SECURITY_RECOVERABLE = True
|
|
SECURITY_EMAIL_SENDER = "eveai_super@flow-it.net"
|
|
PERMANENT_SESSION_LIFETIME = timedelta(minutes=60)
|
|
SESSION_REFRESH_EACH_REQUEST = True
|
|
|
|
# flask-mailman settings
|
|
MAIL_SERVER = 'mail.flow-it.net'
|
|
MAIL_PORT = 587
|
|
MAIL_USE_TLS = True
|
|
MAIL_USE_SSL = False
|
|
MAIL_DEFAULT_SENDER = ('eveAI Admin', 'eveai_admin@flow-it.net')
|
|
|
|
# file upload settings
|
|
MAX_CONTENT_LENGTH = 16 * 1024 * 1024
|
|
UPLOAD_EXTENSIONS = ['.txt', '.pdf', '.png', '.jpg', '.jpeg', '.gif']
|
|
|
|
# supported languages
|
|
SUPPORTED_LANGUAGES = ['en', 'fr', 'nl', 'de', 'es']
|
|
|
|
# supported LLMs
|
|
SUPPORTED_EMBEDDINGS = ['openai.text-embedding-3-small', 'mistral.mistral-embed']
|
|
SUPPORTED_LLMS = ['openai.gpt-4-turbo', 'openai.gpt-3.5-turbo', 'mistral.mistral-large-2402']
|
|
|
|
# Celery settings
|
|
CELERY_TASK_SERIALIZER = 'json'
|
|
CELERY_RESULT_SERIALIZER = 'json'
|
|
CELERY_ACCEPT_CONTENT = ['json']
|
|
CELERY_TIMEZONE = 'UTC'
|
|
CELERY_ENABLE_UTC = True
|
|
|
|
# Chunk Definition
|
|
MIN_CHUNK_SIZE = 2000
|
|
MAX_CHUNK_SIZE = 3000
|
|
|
|
# LLM TEMPLATES
|
|
GPT4_SUMMARY_TEMPLATE = """Write a concise summary of the text in the same language as the provided text.
|
|
Text is delimited between triple backquotes.
|
|
```{text}```"""
|
|
GPT3_5_SUMMARY_TEMPLATE = """Write a concise summary of the text in the same language as the provided text.
|
|
Text is delimited between triple backquotes.
|
|
```{text}```"""
|
|
|
|
# SocketIO settings
|
|
SOCKETIO_ASYNC_MODE = 'gevent'
|
|
|
|
|
|
class DevConfig(Config):
|
|
DEVELOPMENT = True
|
|
DEBUG = True
|
|
FLASK_DEBUG = True
|
|
PYCHARM_DEBUG = False
|
|
SQLALCHEMY_DATABASE_URI = 'postgresql+pg8000://josako@localhost:5432/eveAI'
|
|
SQLALCHEMY_BINDS = {'public': 'postgresql+pg8000://josako@localhost:5432/eveAI'}
|
|
EXPLAIN_TEMPLATE_LOADING = False
|
|
|
|
# flask-mailman settings
|
|
MAIL_USERNAME = 'eveai_super@flow-it.net'
|
|
MAIL_PASSWORD = '$6xsWGbNtx$CFMQZqc*'
|
|
|
|
# file upload settings
|
|
UPLOAD_FOLDER = '/Volumes/OWC4M2_1/Development/eveAI/file_store'
|
|
|
|
# Celery settings
|
|
CELERY_BROKER_URL = 'redis://localhost:6379/0' # Default Redis configuration
|
|
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
|
|
|
|
# OpenAI API Keys
|
|
OPENAI_API_KEY = 'sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7'
|
|
|
|
# Unstructured settings
|
|
UNSTRUCTURED_API_KEY = 'pDgCrXumYhM3CNvjvwV8msMldXC3uw'
|
|
UNSTRUCTURED_BASE_URL = 'https://flowitbv-16c4us0m.api.unstructuredapp.io'
|
|
UNSTRUCTURED_FULL_URL = 'https://flowitbv-16c4us0m.api.unstructuredapp.io/general/v0/general'
|
|
|
|
# SocketIO settings
|
|
SOCKETIO_MESSAGE_QUEUE = 'redis://localhost:6379/1'
|
|
SOCKETIO_CORS_ALLOWED_ORIGINS = '*'
|
|
SOCKETIO_LOGGER = True
|
|
SOCKETIO_ENGINEIO_LOGGER = True
|
|
|
|
# Google Cloud settings
|
|
GC_PROJECT_NAME = 'eveai-420711'
|
|
GC_LOCATION = 'europe-west1'
|
|
GC_KEY_RING = 'eveai-chat'
|
|
GC_CRYPTO_KEY = 'envelope-encryption-key'
|
|
|
|
|
|
class ProdConfig(Config):
|
|
DEVELOPMENT = False
|
|
DEBUG = False
|
|
# SQLALCHEMY_DATABASE_URI = environ.get('SQLALCHEMY_DATABASE_URI') or \
|
|
# 'sqlite:///' + os.path.join(basedir, 'db.sqlite')
|
|
|
|
|
|
config = {
|
|
'dev': DevConfig(),
|
|
'prod': ProdConfig(),
|
|
'default': DevConfig(),
|
|
}
|