- Build of the Chat Client using Vue.js
- Accompanying css - Views to serve the Chat Client - first test version of the TRACIE_SELECTION_SPECIALIST - ESS Implemented.
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@@ -1,5 +1,6 @@
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from datetime import datetime as dt, timezone as tz
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from typing import Dict, Any, Optional
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import traceback
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from flask import current_app
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from sqlalchemy.exc import SQLAlchemyError
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@@ -240,8 +241,9 @@ def execute_specialist(self, tenant_id: int, specialist_id: int, arguments: Dict
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# Get specialist from database
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specialist = Specialist.query.get_or_404(specialist_id)
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except Exception as e:
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stacktrace = traceback.format_exc()
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ept.send_update(task_id, "EveAI Specialist Error", {'Error': str(e)})
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current_app.logger.error(f'execute_specialist: Error executing specialist: {e}')
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current_app.logger.error(f'execute_specialist: Error executing specialist: {e}\n{stacktrace}')
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raise
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with BusinessEvent("Execute Specialist",
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@@ -272,7 +274,8 @@ def execute_specialist(self, tenant_id: int, specialist_id: int, arguments: Dict
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retriever_args=raw_arguments.get('retriever_arguments', {})
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)
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except ValueError as e:
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current_app.logger.error(f'execute_specialist: Error preparing arguments: {e}')
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stacktrace = traceback.format_exc()
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current_app.logger.error(f'execute_specialist: Error preparing arguments: {e}\n{stacktrace}')
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raise
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# Create new interaction record
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@@ -289,7 +292,8 @@ def execute_specialist(self, tenant_id: int, specialist_id: int, arguments: Dict
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event.update_attribute('interaction_id', new_interaction.id)
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except SQLAlchemyError as e:
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current_app.logger.error(f'execute_specialist: Error creating interaction: {e}')
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stacktrace = traceback.format_exc()
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current_app.logger.error(f'execute_specialist: Error creating interaction: {e}\n{stacktrace}')
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raise
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with current_event.create_span("Specialist invocation"):
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@@ -314,7 +318,8 @@ def execute_specialist(self, tenant_id: int, specialist_id: int, arguments: Dict
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db.session.add(new_interaction)
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db.session.commit()
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except SQLAlchemyError as e:
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current_app.logger.error(f'execute_specialist: Error updating interaction: {e}')
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stacktrace = traceback.format_exc()
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current_app.logger.error(f'execute_specialist: Error updating interaction: {e}\n{stacktrace}')
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raise
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# Now that we have a complete interaction with an answer, add it to the cache
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@@ -330,14 +335,16 @@ def execute_specialist(self, tenant_id: int, specialist_id: int, arguments: Dict
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return response
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except Exception as e:
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stacktrace = traceback.format_exc()
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ept.send_update(task_id, "EveAI Specialist Error", {'Error': str(e)})
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current_app.logger.error(f'execute_specialist: Error executing specialist: {e}')
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current_app.logger.error(f'execute_specialist: Error executing specialist: {e}\n{stacktrace}')
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new_interaction.processing_error = str(e)[:255]
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try:
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db.session.add(new_interaction)
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db.session.commit()
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except SQLAlchemyError as e:
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current_app.logger.error(f'execute_specialist: Error updating interaction: {e}')
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stacktrace = traceback.format_exc()
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current_app.logger.error(f'execute_specialist: Error updating interaction: {e}\n{stacktrace}')
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raise
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