ALwrity version 0.5.5
This commit is contained in:
ajaysi
463
docs/alwrity_test_scripts/test_onboarding_data.py
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463
docs/alwrity_test_scripts/test_onboarding_data.py
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#!/usr/bin/env python3
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"""
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Test script to validate onboarding data existence in the database.
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This script checks if onboarding data exists for test users and validates the data flow.
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"""
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import sys
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import os
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import asyncio
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import logging
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from datetime import datetime
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from typing import Dict, Any, Optional
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# Add the backend directory to the Python path
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from sqlalchemy.orm import Session
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from services.database import get_db_session
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from models.onboarding import OnboardingSession, WebsiteAnalysis, ResearchPreferences, APIKey
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from models.enhanced_strategy_models import OnboardingDataIntegration
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from api.content_planning.services.content_strategy.onboarding.data_integration import OnboardingDataIntegrationService
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from api.content_planning.services.content_strategy.autofill.ai_structured_autofill import AIStructuredAutofillService
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from services.ai_service_manager import AIServiceManager
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# Configure logging
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logging.basicConfig(
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level=logging.DEBUG,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.StreamHandler(sys.stdout),
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logging.FileHandler('onboarding_test.log')
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]
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)
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logger = logging.getLogger(__name__)
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class OnboardingDataValidator:
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"""Validator for onboarding data existence and quality."""
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def __init__(self):
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self.db_session = get_db_session()
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self.data_integration_service = OnboardingDataIntegrationService()
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self.ai_service = AIStructuredAutofillService()
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self.ai_manager = AIServiceManager()
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def test_database_connection(self) -> bool:
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"""Test database connection."""
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try:
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# Simple query to test connection
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from sqlalchemy import text
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result = self.db_session.execute(text("SELECT 1"))
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logger.info("✅ Database connection successful")
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return True
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except Exception as e:
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logger.error(f"❌ Database connection failed: {e}")
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return False
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def check_onboarding_sessions(self, user_ids: list = None) -> Dict[int, Dict[str, Any]]:
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"""Check onboarding sessions for given user IDs."""
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if user_ids is None:
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user_ids = [1, 2, 3] # Default test user IDs
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results = {}
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for user_id in user_ids:
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logger.info(f"🔍 Checking onboarding session for user {user_id}")
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try:
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session = self.db_session.query(OnboardingSession).filter(
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OnboardingSession.user_id == user_id
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).order_by(OnboardingSession.updated_at.desc()).first()
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if session:
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results[user_id] = {
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'session_exists': True,
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'session_id': session.id,
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'status': session.status,
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'progress': session.progress,
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'created_at': session.created_at.isoformat(),
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'updated_at': session.updated_at.isoformat(),
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'data': session.to_dict() if hasattr(session, 'to_dict') else str(session)
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}
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logger.info(f"✅ Onboarding session found for user {user_id}: {session.status}")
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else:
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results[user_id] = {
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'session_exists': False,
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'error': 'No onboarding session found'
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}
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logger.warning(f"❌ No onboarding session found for user {user_id}")
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except Exception as e:
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results[user_id] = {
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'session_exists': False,
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'error': str(e)
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}
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logger.error(f"❌ Error checking onboarding session for user {user_id}: {e}")
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return results
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def check_website_analysis(self, user_ids: list = None) -> Dict[int, Dict[str, Any]]:
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"""Check website analysis data for given user IDs."""
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if user_ids is None:
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user_ids = [1, 2, 3]
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results = {}
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for user_id in user_ids:
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logger.info(f"🔍 Checking website analysis for user {user_id}")
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try:
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# Get onboarding session first
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session = self.db_session.query(OnboardingSession).filter(
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OnboardingSession.user_id == user_id
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).order_by(OnboardingSession.updated_at.desc()).first()
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if not session:
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results[user_id] = {
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'website_analysis_exists': False,
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'error': 'No onboarding session found'
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}
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continue
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# Get website analysis
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website_analysis = self.db_session.query(WebsiteAnalysis).filter(
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WebsiteAnalysis.session_id == session.id
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).order_by(WebsiteAnalysis.updated_at.desc()).first()
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if website_analysis:
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results[user_id] = {
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'website_analysis_exists': True,
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'analysis_id': website_analysis.id,
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'website_url': website_analysis.website_url,
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'status': website_analysis.status,
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'created_at': website_analysis.created_at.isoformat(),
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'updated_at': website_analysis.updated_at.isoformat(),
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'data_keys': list(website_analysis.to_dict().keys()) if hasattr(website_analysis, 'to_dict') else []
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}
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logger.info(f"✅ Website analysis found for user {user_id}: {website_analysis.website_url}")
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else:
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results[user_id] = {
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'website_analysis_exists': False,
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'error': 'No website analysis found'
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}
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logger.warning(f"❌ No website analysis found for user {user_id}")
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except Exception as e:
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results[user_id] = {
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'website_analysis_exists': False,
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'error': str(e)
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}
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logger.error(f"❌ Error checking website analysis for user {user_id}: {e}")
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return results
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def check_research_preferences(self, user_ids: list = None) -> Dict[int, Dict[str, Any]]:
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"""Check research preferences data for given user IDs."""
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if user_ids is None:
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user_ids = [1, 2, 3]
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results = {}
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for user_id in user_ids:
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logger.info(f"🔍 Checking research preferences for user {user_id}")
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try:
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# Get onboarding session first
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session = self.db_session.query(OnboardingSession).filter(
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OnboardingSession.user_id == user_id
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).order_by(OnboardingSession.updated_at.desc()).first()
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if not session:
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results[user_id] = {
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'research_preferences_exists': False,
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'error': 'No onboarding session found'
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}
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continue
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# Get research preferences
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research_prefs = self.db_session.query(ResearchPreferences).filter(
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ResearchPreferences.session_id == session.id
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).first()
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if research_prefs:
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results[user_id] = {
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'research_preferences_exists': True,
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'prefs_id': research_prefs.id,
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'research_depth': research_prefs.research_depth,
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'content_types': research_prefs.content_types,
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'created_at': research_prefs.created_at.isoformat(),
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'updated_at': research_prefs.updated_at.isoformat(),
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'data_keys': list(research_prefs.to_dict().keys()) if hasattr(research_prefs, 'to_dict') else []
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}
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logger.info(f"✅ Research preferences found for user {user_id}: {research_prefs.research_depth}")
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else:
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results[user_id] = {
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'research_preferences_exists': False,
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'error': 'No research preferences found'
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}
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logger.warning(f"❌ No research preferences found for user {user_id}")
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except Exception as e:
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results[user_id] = {
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'research_preferences_exists': False,
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'error': str(e)
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}
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logger.error(f"❌ Error checking research preferences for user {user_id}: {e}")
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return results
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def check_api_keys(self, user_ids: list = None) -> Dict[int, Dict[str, Any]]:
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"""Check API keys data for given user IDs."""
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if user_ids is None:
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user_ids = [1, 2, 3]
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results = {}
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for user_id in user_ids:
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logger.info(f"🔍 Checking API keys for user {user_id}")
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try:
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# Get onboarding session first
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session = self.db_session.query(OnboardingSession).filter(
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OnboardingSession.user_id == user_id
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).order_by(OnboardingSession.updated_at.desc()).first()
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if not session:
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results[user_id] = {
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'api_keys_exist': False,
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'error': 'No onboarding session found'
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}
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continue
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# Get API keys
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api_keys = self.db_session.query(APIKey).filter(
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APIKey.session_id == session.id
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).all()
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if api_keys:
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results[user_id] = {
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'api_keys_exist': True,
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'count': len(api_keys),
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'providers': [key.provider for key in api_keys],
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'created_at': api_keys[0].created_at.isoformat() if api_keys else None,
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'updated_at': api_keys[0].updated_at.isoformat() if api_keys else None
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}
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logger.info(f"✅ API keys found for user {user_id}: {len(api_keys)} keys")
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else:
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results[user_id] = {
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'api_keys_exist': False,
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'error': 'No API keys found'
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}
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logger.warning(f"❌ No API keys found for user {user_id}")
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except Exception as e:
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results[user_id] = {
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'api_keys_exist': False,
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'error': str(e)
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}
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logger.error(f"❌ Error checking API keys for user {user_id}: {e}")
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return results
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async def test_data_integration_service(self, user_id: int = 1) -> Dict[str, Any]:
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"""Test the data integration service."""
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logger.info(f"🔍 Testing data integration service for user {user_id}")
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try:
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# Test the process_onboarding_data method
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integrated_data = await self.data_integration_service.process_onboarding_data(user_id, self.db_session)
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if integrated_data:
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result = {
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'success': True,
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'has_website_analysis': bool(integrated_data.get('website_analysis')),
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'has_research_preferences': bool(integrated_data.get('research_preferences')),
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'has_api_keys_data': bool(integrated_data.get('api_keys_data')),
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'has_onboarding_session': bool(integrated_data.get('onboarding_session')),
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'data_quality': integrated_data.get('data_quality', {}),
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'processing_timestamp': integrated_data.get('processing_timestamp'),
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'context_keys': list(integrated_data.keys())
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}
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logger.info(f"✅ Data integration successful for user {user_id}")
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logger.info(f" Website analysis: {result['has_website_analysis']}")
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logger.info(f" Research preferences: {result['has_research_preferences']}")
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logger.info(f" API keys: {result['has_api_keys_data']}")
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logger.info(f" Onboarding session: {result['has_onboarding_session']}")
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return result
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else:
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logger.error(f"❌ Data integration returned None for user {user_id}")
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return {'success': False, 'error': 'No data returned'}
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except Exception as e:
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logger.error(f"❌ Data integration failed for user {user_id}: {e}")
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return {'success': False, 'error': str(e)}
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async def test_ai_service_configuration(self) -> Dict[str, Any]:
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"""Test AI service configuration."""
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logger.info("🔍 Testing AI service configuration")
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try:
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# Test basic AI service functionality
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test_prompt = "Generate a simple test response"
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test_schema = {
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"type": "OBJECT",
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"properties": {
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"test_field": {"type": "STRING", "description": "A test field"}
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},
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"required": ["test_field"]
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}
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# Test the AI service manager
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result = await self.ai_manager.execute_structured_json_call(
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service_type="STRATEGIC_INTELLIGENCE",
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prompt=test_prompt,
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schema=test_schema
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)
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if result and not result.get('error'):
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logger.info("✅ AI service configuration successful")
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return {
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'success': True,
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'ai_service_working': True,
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'test_response': result
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}
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else:
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logger.error(f"❌ AI service test failed: {result.get('error', 'Unknown error')}")
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return {
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'success': False,
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'ai_service_working': False,
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'error': result.get('error', 'Unknown error')
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}
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except Exception as e:
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logger.error(f"❌ AI service configuration test failed: {e}")
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return {
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'success': False,
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'ai_service_working': False,
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'error': str(e)
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}
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async def test_ai_structured_autofill(self, user_id: int = 1) -> Dict[str, Any]:
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"""Test the AI structured autofill service."""
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logger.info(f"🔍 Testing AI structured autofill for user {user_id}")
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try:
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# First get the context
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integrated_data = await self.data_integration_service.process_onboarding_data(user_id, self.db_session)
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if not integrated_data:
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logger.error(f"❌ No integrated data available for user {user_id}")
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return {'success': False, 'error': 'No integrated data available'}
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# Test the AI structured autofill
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result = await self.ai_service.generate_autofill_fields(user_id, integrated_data)
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if result:
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meta = result.get('meta', {})
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fields = result.get('fields', {})
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test_result = {
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'success': True,
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'ai_used': meta.get('ai_used', False),
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'ai_overrides_count': meta.get('ai_overrides_count', 0),
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'success_rate': meta.get('success_rate', 0),
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'attempts': meta.get('attempts', 0),
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'missing_fields': meta.get('missing_fields', []),
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'fields_generated': len(fields),
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'sample_fields': list(fields.keys())[:5] if fields else []
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}
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logger.info(f"✅ AI structured autofill test completed for user {user_id}")
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logger.info(f" AI used: {test_result['ai_used']}")
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logger.info(f" Fields generated: {test_result['fields_generated']}")
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logger.info(f" Success rate: {test_result['success_rate']:.1f}%")
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logger.info(f" Attempts: {test_result['attempts']}")
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return test_result
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else:
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logger.error(f"❌ AI structured autofill returned None for user {user_id}")
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return {'success': False, 'error': 'No result returned'}
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except Exception as e:
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logger.error(f"❌ AI structured autofill test failed for user {user_id}: {e}")
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return {'success': False, 'error': str(e)}
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def print_summary(self, results: Dict[str, Any]):
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"""Print a summary of all test results."""
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logger.info("\n" + "="*80)
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logger.info("📊 ONBOARDING DATA VALIDATION SUMMARY")
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logger.info("="*80)
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for test_name, result in results.items():
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logger.info(f"\n🔍 {test_name.upper()}:")
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if isinstance(result, dict):
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for key, value in result.items():
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if isinstance(value, dict):
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logger.info(f" {key}:")
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for sub_key, sub_value in value.items():
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logger.info(f" {sub_key}: {sub_value}")
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else:
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logger.info(f" {key}: {value}")
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else:
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logger.info(f" {result}")
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logger.info("\n" + "="*80)
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def cleanup(self):
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"""Clean up database session."""
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if self.db_session:
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self.db_session.close()
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async def main():
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"""Main test function."""
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logger.info("🚀 Starting onboarding data validation tests")
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validator = OnboardingDataValidator()
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try:
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# Test database connection
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db_connected = validator.test_database_connection()
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if not db_connected:
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logger.error("❌ Cannot proceed without database connection")
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||||
return
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||||
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||||
# Test user IDs to check
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test_user_ids = [1, 2, 3]
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||||
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||||
# Run all tests
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||||
results = {
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'database_connection': db_connected,
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'onboarding_sessions': validator.check_onboarding_sessions(test_user_ids),
|
||||
'website_analysis': validator.check_website_analysis(test_user_ids),
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||||
'research_preferences': validator.check_research_preferences(test_user_ids),
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'api_keys': validator.check_api_keys(test_user_ids),
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'data_integration': await validator.test_data_integration_service(1),
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||||
'ai_service_config': await validator.test_ai_service_configuration(),
|
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'ai_structured_autofill': await validator.test_ai_structured_autofill(1)
|
||||
}
|
||||
|
||||
# Print summary
|
||||
validator.print_summary(results)
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||||
|
||||
# Determine overall status
|
||||
overall_success = all([
|
||||
results['database_connection'],
|
||||
any(session.get('session_exists', False) for session in results['onboarding_sessions'].values()),
|
||||
results['data_integration']['success'],
|
||||
results['ai_service_config']['success']
|
||||
])
|
||||
|
||||
if overall_success:
|
||||
logger.info("✅ All critical tests passed!")
|
||||
else:
|
||||
logger.error("❌ Some critical tests failed!")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"❌ Test execution failed: {e}")
|
||||
finally:
|
||||
validator.cleanup()
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
Reference in New Issue
Block a user