413 lines
21 KiB
Python
413 lines
21 KiB
Python
"""
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Onboarding Completion Service
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Handles the complex logic for completing the onboarding process.
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"""
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from typing import Dict, Any, List
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from datetime import datetime, timedelta
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from fastapi import HTTPException
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from loguru import logger
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from api.content_planning.services.content_strategy.onboarding import OnboardingDataIntegrationService
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from services.database import get_session_for_user
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from services.persona_analysis_service import PersonaAnalysisService
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from services.research.research_persona_scheduler import schedule_research_persona_generation
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from services.persona.facebook.facebook_persona_scheduler import schedule_facebook_persona_generation
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class OnboardingCompletionService:
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"""Service for handling onboarding completion logic."""
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def __init__(self):
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# Pre-requisite steps; step 6 is the finalization itself
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self.required_steps = [1, 2, 3, 4, 5]
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async def complete_onboarding(self, current_user: Dict[str, Any]) -> Dict[str, Any]:
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"""Complete the onboarding process with full validation."""
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try:
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from services.onboarding.progress_service import OnboardingProgressService
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user_id = str(current_user.get('id'))
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progress_service = OnboardingProgressService()
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# Strict DB-only validation now that step persistence is solid
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missing_steps = await self._validate_required_steps_database(user_id)
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if missing_steps:
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missing_steps_str = ", ".join(missing_steps)
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raise HTTPException(
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status_code=400,
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detail=f"Cannot complete onboarding. The following steps must be completed first: {missing_steps_str}"
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)
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# Require API keys in DB for completion
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await self._validate_api_keys(user_id)
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# Generate writing persona from onboarding data only if not already present
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persona_generated = await self._generate_persona_from_onboarding(user_id)
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# Complete the onboarding process in database
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success = progress_service.complete_onboarding(user_id)
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if not success:
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raise HTTPException(status_code=500, detail="Failed to mark onboarding as complete")
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# Schedule research persona generation 20 minutes after onboarding completion
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try:
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schedule_research_persona_generation(user_id, delay_minutes=20)
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logger.info(f"Scheduled research persona generation for user {user_id} (20 minutes after onboarding)")
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except Exception as e:
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# Non-critical: log but don't fail onboarding completion
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logger.warning(f"Failed to schedule research persona generation for user {user_id}: {e}")
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# Schedule Facebook persona generation 20 minutes after onboarding completion
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try:
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schedule_facebook_persona_generation(user_id, delay_minutes=20)
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logger.info(f"Scheduled Facebook persona generation for user {user_id} (20 minutes after onboarding)")
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except Exception as e:
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# Non-critical: log but don't fail onboarding completion
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logger.warning(f"Failed to schedule Facebook persona generation for user {user_id}: {e}")
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# Create OAuth token monitoring tasks for connected platforms
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try:
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from services.progressive_setup_service import ProgressiveSetupService
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db = get_session_for_user(user_id)
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try:
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# Initialize user environment (create workspace, setup features)
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try:
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setup_service = ProgressiveSetupService(db)
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setup_service.initialize_user_environment(user_id)
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logger.info(f"Initialized user environment for {user_id} on onboarding completion")
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except Exception as e:
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logger.warning(f"Failed to initialize user environment for {user_id}: {e}")
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monitoring_tasks = create_oauth_monitoring_tasks(user_id, db)
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logger.info(
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f"Created {len(monitoring_tasks)} OAuth token monitoring tasks for user {user_id} "
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f"on onboarding completion"
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)
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finally:
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db.close()
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except Exception as e:
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# Non-critical: log but don't fail onboarding completion
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logger.warning(f"Failed to create OAuth token monitoring tasks for user {user_id}: {e}")
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# Schedule website analysis task creation 5 minutes after onboarding completion
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try:
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from services.website_analysis_monitoring_service import schedule_website_analysis_task_creation
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schedule_website_analysis_task_creation(user_id=user_id, delay_minutes=5)
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logger.info(
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f"Scheduled website analysis task creation for user {user_id} "
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f"(5 minutes after onboarding completion)"
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)
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except Exception as e:
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logger.warning(f"Failed to schedule website analysis task creation for user {user_id}: {e}")
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# Schedule onboarding full-site SEO audit (non-blocking) ~10 minutes after completion
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try:
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from services.database import SessionLocal
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from models.website_analysis_monitoring_models import (
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OnboardingFullWebsiteAnalysisTask,
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DeepCompetitorAnalysisTask,
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SIFIndexingTask,
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MarketTrendsTask
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)
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from api.content_planning.services.content_strategy.onboarding import OnboardingDataIntegrationService
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db = SessionLocal()
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try:
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integration_service = OnboardingDataIntegrationService()
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integrated_data = integration_service.get_integrated_data_sync(user_id, db)
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website_analysis = integrated_data.get('website_analysis', {}) if integrated_data else {}
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website_url = website_analysis.get('website_url')
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if not website_url:
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try:
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from services.website_analysis_monitoring_service import clerk_user_id_to_int
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from models.onboarding import WebsiteAnalysis
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session_id_int = clerk_user_id_to_int(user_id)
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analysis = db.query(WebsiteAnalysis).filter(
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WebsiteAnalysis.session_id == session_id_int
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).order_by(WebsiteAnalysis.created_at.desc()).first()
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if analysis and analysis.website_url:
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website_url = analysis.website_url
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except Exception:
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website_url = None
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if website_url:
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# 1. Schedule Full Site SEO Audit
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next_execution = datetime.utcnow() + timedelta(minutes=5)
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existing = db.query(OnboardingFullWebsiteAnalysisTask).filter(
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OnboardingFullWebsiteAnalysisTask.user_id == user_id,
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OnboardingFullWebsiteAnalysisTask.website_url == website_url
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).first()
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payload = {
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'website_url': website_url,
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'max_urls': 500,
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'created_from': 'onboarding_completion'
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}
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if existing:
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existing.status = 'active'
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existing.next_execution = next_execution
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existing.payload = payload
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db.add(existing)
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else:
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db.add(OnboardingFullWebsiteAnalysisTask(
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user_id=user_id,
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website_url=website_url,
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status='active',
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next_execution=next_execution,
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payload=payload
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))
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# 2. Schedule SIF Indexing Task (Metadata + Content)
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# Runs 5 mins after onboarding, then recurring every 48h
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existing_sif = db.query(SIFIndexingTask).filter(
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SIFIndexingTask.user_id == user_id,
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SIFIndexingTask.website_url == website_url
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).first()
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payload_sif = {
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'website_url': website_url,
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'mode': 'initial_indexing',
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'created_from': 'onboarding_completion'
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}
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if existing_sif:
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existing_sif.status = 'active'
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existing_sif.next_execution = next_execution
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existing_sif.frequency_hours = 48
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existing_sif.payload = payload_sif
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db.add(existing_sif)
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else:
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db.add(SIFIndexingTask(
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user_id=user_id,
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website_url=website_url,
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status='active',
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next_execution=next_execution,
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frequency_hours=48,
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payload=payload_sif
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))
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logger.info(
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f"Scheduled SIF indexing task for user {user_id} "
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f"({website_url}) at {next_execution.isoformat()}"
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)
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# 3. Schedule Market Trends Task (Google Trends) every 72h
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existing_trends = db.query(MarketTrendsTask).filter(
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MarketTrendsTask.user_id == user_id,
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MarketTrendsTask.website_url == website_url
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).first()
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payload_trends = {
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"website_url": website_url,
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"geo": "US",
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"timeframe": "today 12-m",
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"created_from": "onboarding_completion"
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}
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if existing_trends:
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existing_trends.status = "active"
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existing_trends.next_execution = next_execution
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existing_trends.frequency_hours = 72
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existing_trends.payload = payload_trends
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db.add(existing_trends)
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else:
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db.add(MarketTrendsTask(
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user_id=user_id,
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website_url=website_url,
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status="active",
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next_execution=next_execution,
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frequency_hours=72,
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payload=payload_trends
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))
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db.commit()
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logger.info(
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f"Scheduled onboarding full-site SEO audit for user {user_id} "
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f"({website_url}) at {next_execution.isoformat()}"
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)
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try:
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research_prefs = integrated_data.get("research_preferences", {}) if isinstance(integrated_data, dict) else {}
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competitors = research_prefs.get("competitors") if isinstance(research_prefs, dict) else None
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if isinstance(competitors, list) and len(competitors) > 0:
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existing_deep = db.query(DeepCompetitorAnalysisTask).filter(
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DeepCompetitorAnalysisTask.user_id == user_id,
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DeepCompetitorAnalysisTask.website_url == website_url
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).first()
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payload_deep = {
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"website_url": website_url,
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"competitors": competitors,
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"max_competitors": 25,
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"crawl_concurrency": 4,
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"mode": "strategic_insights", # Enable recurring weekly strategic insights
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"baseline_updated_at": website_analysis.get("updated_at") if isinstance(website_analysis, dict) else None,
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"created_from": "onboarding_completion"
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}
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if existing_deep:
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existing_deep.status = "active"
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existing_deep.next_execution = next_execution
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existing_deep.payload = payload_deep
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db.add(existing_deep)
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else:
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db.add(DeepCompetitorAnalysisTask(
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user_id=user_id,
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website_url=website_url,
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status="active",
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next_execution=next_execution,
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payload=payload_deep
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))
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db.commit()
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logger.info(
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f"Scheduled deep competitor analysis for user {user_id} "
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f"({website_url}) at {next_execution.isoformat()} with {len(competitors)} competitors"
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)
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else:
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logger.warning(
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f"Deep competitor analysis not scheduled for user {user_id}: "
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f"no Step 3 competitors available"
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)
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except Exception as e:
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logger.warning(f"Failed to schedule deep competitor analysis for user {user_id}: {e}")
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else:
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logger.warning(
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f"Could not schedule onboarding full-site SEO audit for user {user_id}: "
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f"website_url missing"
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)
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finally:
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db.close()
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except Exception as e:
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logger.warning(f"Failed to schedule onboarding full-site SEO audit for user {user_id}: {e}")
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return {
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"message": "Onboarding completed successfully",
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"completed_at": datetime.now().isoformat(),
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"completion_percentage": 100.0,
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"persona_generated": persona_generated
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error completing onboarding: {str(e)}")
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raise HTTPException(status_code=500, detail="Internal server error")
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async def _validate_required_steps_database(self, user_id: str) -> List[str]:
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"""Validate that all required steps are completed using SSOT integration service."""
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missing_steps = []
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try:
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db = get_session_for_user(user_id)
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integration_service = OnboardingDataIntegrationService()
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# Debug logging
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logger.info(f"Validating steps for user {user_id}")
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# Get integrated data
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integrated_data = await integration_service.process_onboarding_data(user_id, db)
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db.close()
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# Check each required step
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for step_num in self.required_steps:
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step_completed = False
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if step_num == 1: # API Keys
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api_keys_data = integrated_data.get('api_keys_data', {})
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logger.info(f"Step 1 - API Keys: {api_keys_data}")
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step_completed = bool(
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api_keys_data.get('openai_api_key') or
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api_keys_data.get('anthropic_api_key') or
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api_keys_data.get('google_api_key')
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)
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logger.info(f"Step 1 completed: {step_completed}")
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elif step_num == 2: # Website Analysis
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website = integrated_data.get('website_analysis', {})
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logger.info(f"Step 2 - Website Analysis: {website}")
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step_completed = bool(website and (website.get('website_url') or website.get('writing_style')))
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logger.info(f"Step 2 completed: {step_completed}")
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elif step_num == 3: # Research Preferences
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research = integrated_data.get('research_preferences', {})
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logger.info(f"Step 3 - Research Preferences: {research}")
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step_completed = bool(research and (research.get('research_depth') or research.get('content_types')))
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logger.info(f"Step 3 completed: {step_completed}")
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elif step_num == 4: # Persona Generation
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persona = integrated_data.get('persona_data', {})
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logger.info(f"Step 4 - Persona Data: {persona}")
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step_completed = bool(persona and (persona.get('corePersona') or persona.get('platformPersonas')))
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logger.info(f"Step 4 completed: {step_completed}")
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elif step_num == 5: # Integrations
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# For now, consider this always completed if we reach this point
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step_completed = True
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logger.info(f"Step 5 completed: {step_completed}")
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if not step_completed:
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missing_steps.append(f"Step {step_num}")
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logger.info(f"Missing steps: {missing_steps}")
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return missing_steps
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except Exception as e:
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logger.error(f"Error validating required steps: {e}")
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return ["Validation error"]
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async def _validate_api_keys(self, user_id: str):
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"""Validate that API keys are configured for the current user (SSOT)."""
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try:
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db = get_session_for_user(user_id)
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integration_service = OnboardingDataIntegrationService()
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integrated_data = await integration_service.process_onboarding_data(user_id, db)
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db.close()
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api_keys_data = integrated_data.get('api_keys_data', {})
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has_keys = bool(
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api_keys_data.get('openai_api_key') or
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api_keys_data.get('anthropic_api_key') or
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api_keys_data.get('google_api_key')
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)
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if not has_keys:
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raise HTTPException(
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status_code=400,
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detail="Cannot complete onboarding. At least one AI provider API key must be configured in your account."
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)
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except HTTPException:
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raise
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except Exception:
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raise HTTPException(
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status_code=400,
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detail="Cannot complete onboarding. API key validation failed."
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)
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async def _generate_persona_from_onboarding(self, user_id: str) -> bool:
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"""Generate writing persona from onboarding data."""
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try:
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persona_service = PersonaAnalysisService()
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try:
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existing = persona_service.get_user_personas(user_id)
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if existing and len(existing) > 0:
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logger.info("Persona already exists for user %s; skipping regeneration during completion", user_id)
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return False
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except Exception:
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# Non-fatal; proceed to attempt generation
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pass
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persona_result = persona_service.generate_persona_from_onboarding(user_id)
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if "error" not in persona_result:
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logger.info(f"✅ Writing persona generated during onboarding completion: {persona_result.get('persona_id')}")
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return True
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else:
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logger.warning(f"⚠️ Persona generation failed during onboarding: {persona_result['error']}")
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return False
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except Exception as e:
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logger.warning(f"⚠️ Non-critical error generating persona during onboarding: {str(e)}")
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return False
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