d106520d22
- Split differrent caching mechanisms (types, version tree, config) into different cachers - Improve resource usage on starting components, and correct gevent usage - Refine repopack usage for eveai_app (too large) - Change nginx dockerfile to allow for specialist overviews being served statically
97 lines
3.6 KiB
Python
97 lines
3.6 KiB
Python
from flask_wtf import FlaskForm
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from wtforms import (StringField, BooleanField, SelectField, TextAreaField)
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from wtforms.validators import DataRequired, Length, Optional
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from wtforms_sqlalchemy.fields import QuerySelectMultipleField
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from common.models.document import Retriever
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from common.models.interaction import EveAITool
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from common.extensions import cache_manager
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from .dynamic_form_base import DynamicFormBase
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def get_retrievers():
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return Retriever.query.all()
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def get_tools():
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return EveAITool.query.all()
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class SpecialistForm(FlaskForm):
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name = StringField('Name', validators=[DataRequired(), Length(max=50)])
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retrievers = QuerySelectMultipleField(
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'Retrievers',
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query_factory=get_retrievers,
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get_label='name', # Assuming your Retriever model has a 'name' field
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allow_blank=True,
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description='Select one or more retrievers to associate with this specialist'
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)
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type = SelectField('Specialist Type', validators=[DataRequired()])
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tuning = BooleanField('Enable Specialist Tuning', default=False)
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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types_dict = cache_manager.specialists_types_cache.get_types()
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# Dynamically populate the 'type' field using the constructor
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self.type.choices = [(key, value['name']) for key, value in types_dict.items()]
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class EditSpecialistForm(DynamicFormBase):
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name = StringField('Name', validators=[DataRequired()])
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description = TextAreaField('Description', validators=[Optional()])
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retrievers = QuerySelectMultipleField(
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'Retrievers',
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query_factory=get_retrievers,
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get_label='name',
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allow_blank=True,
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description='Select one or more retrievers to associate with this specialist'
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)
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type = StringField('Specialist Type', validators=[DataRequired()], render_kw={'readonly': True})
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type_version = StringField('Type Version', validators=[DataRequired()], render_kw={'readonly': True})
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tuning = BooleanField('Enable Retrieval Tuning', default=False)
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class BaseComponentForm(DynamicFormBase):
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"""Base form for all processing components"""
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name = StringField('Name', validators=[DataRequired(), Length(max=50)])
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description = TextAreaField('Description', validators=[Optional()])
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type = SelectField('Type', validators=[DataRequired()])
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tuning = BooleanField('Enable Tuning', default=False)
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def __init__(self, *args, type_config=None, **kwargs):
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super().__init__(*args, **kwargs)
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if type_config:
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self.type.choices = [(key, value['name']) for key, value in type_config.items()]
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# Edit forms that support dynamic fields
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class BaseEditComponentForm(DynamicFormBase):
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name = StringField('Name', validators=[DataRequired()])
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description = TextAreaField('Description', validators=[Optional()])
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type = StringField('Type', validators=[DataRequired()], render_kw={'readonly': True})
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type_version = StringField('Type Version', validators=[DataRequired()], render_kw={'readonly': True})
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tuning = BooleanField('Enable Tuning', default=False)
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class EditEveAIAgentForm(BaseEditComponentForm):
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role = TextAreaField('Role', validators=[Optional()])
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goal = TextAreaField('Goal', validators=[Optional()])
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backstory = TextAreaField('Backstory', validators=[Optional()])
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class EditEveAITaskForm(BaseEditComponentForm):
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task_description = StringField('Task Description', validators=[Optional()])
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expected_outcome = StringField('Expected Outcome', validators=[Optional()])
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class EditEveAIToolForm(BaseEditComponentForm):
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pass
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