- Finish editing of Specialists with overview, agent - task - tool editor

- 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

eveai_app/views/interaction_forms.py

@@ -21,7 +21,6 @@ def get_tools():
 
 class SpecialistForm(FlaskForm):
     name = StringField('Name', validators=[DataRequired(), Length(max=50)])
-    description = TextAreaField('Description', validators=[DataRequired()])
 
     retrievers = QuerySelectMultipleField(
         'Retrievers',
@@ -37,14 +36,14 @@ class SpecialistForm(FlaskForm):
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        types_dict = cache_manager.specialist_config_cache.get_types()
+        types_dict = cache_manager.specialists_types_cache.get_types()
         # Dynamically populate the 'type' field using the constructor
         self.type.choices = [(key, value['name']) for key, value in types_dict.items()]
 
 
 class EditSpecialistForm(DynamicFormBase):
     name = StringField('Name', validators=[DataRequired()])
-    description = TextAreaField('Description', validators=[DataRequired()])
+    description = TextAreaField('Description', validators=[Optional()])
 
     retrievers = QuerySelectMultipleField(
         'Retrievers',
@@ -55,6 +54,7 @@ class EditSpecialistForm(DynamicFormBase):
     )
 
     type = StringField('Specialist Type', validators=[DataRequired()], render_kw={'readonly': True})
+    type_version = StringField('Type Version', validators=[DataRequired()], render_kw={'readonly': True})
     tuning = BooleanField('Enable Retrieval Tuning', default=False)
 
 
@@ -76,41 +76,21 @@ class BaseEditComponentForm(DynamicFormBase):
     name = StringField('Name', validators=[DataRequired()])
     description = TextAreaField('Description', validators=[Optional()])
     type = StringField('Type', validators=[DataRequired()], render_kw={'readonly': True})
+    type_version = StringField('Type Version', validators=[DataRequired()], render_kw={'readonly': True})
     tuning = BooleanField('Enable Tuning', default=False)
 
 
-class EveAIAgentForm(BaseComponentForm):
-    role = TextAreaField('Role', validators=[DataRequired()])
-    goal = TextAreaField('Goal', validators=[DataRequired()])
-    backstory = TextAreaField('Backstory', validators=[DataRequired()])
-
-    tools = QuerySelectMultipleField(
-        'Tools',
-        query_factory=get_tools,
-        get_label='name',
-        allow_blank=True,
-        description='Select one or more tools that can be used this agent'
-    )
-
-    def __init__(self, *args, type_config=None, **kwargs):
-        super().__init__(*args, **kwargs)
-        if type_config:
-            self.type.choices = [(key, value['name']) for key, value in type_config.items()]
-
-
 class EditEveAIAgentForm(BaseEditComponentForm):
-    role = StringField('Role', validators=[DataRequired()])
-    goal = StringField('Goal', validators=[DataRequired()])
-    backstory = StringField('Backstory', validators=[DataRequired()])
-
-    tools = QuerySelectMultipleField(
-        'Tools',
-        query_factory=get_tools,
-        get_label='name',
-        allow_blank=True,
-        description='Select one or more tools that can be used this agent'
-    )
+    role = TextAreaField('Role', validators=[Optional()])
+    goal = TextAreaField('Goal', validators=[Optional()])
+    backstory = TextAreaField('Backstory', validators=[Optional()])
 
 
-class EveAITaskForm(BaseComponentForm):
-    expected_output = TextAreaField('Expected Output', validators=[DataRequired()])
+class EditEveAITaskForm(BaseEditComponentForm):
+    task_description = StringField('Task Description', validators=[Optional()])
+    expected_outcome = StringField('Expected Outcome', validators=[Optional()])
+
+
+class EditEveAIToolForm(BaseEditComponentForm):
+    pass
+