Files
ALwrity/backend/services/onboarding_database_service.py
2025-10-10 23:19:28 +05:30

419 lines
17 KiB
Python

"""
Onboarding Database Service
Provides database-backed storage for onboarding progress with user isolation.
This replaces the JSON file-based storage with proper database persistence.
"""
from typing import Dict, Any, Optional, List
from datetime import datetime
from loguru import logger
from sqlalchemy.orm import Session
from sqlalchemy.exc import SQLAlchemyError
from models.onboarding import OnboardingSession, APIKey, WebsiteAnalysis, ResearchPreferences, PersonaData
from services.database import get_db
class OnboardingDatabaseService:
"""Database service for onboarding with user isolation."""
def __init__(self, db: Session = None):
"""Initialize with optional database session."""
self.db = db
def get_or_create_session(self, user_id: str, db: Session = None) -> OnboardingSession:
"""Get existing onboarding session or create new one for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
# Try to get existing session for this user
session = session_db.query(OnboardingSession).filter(
OnboardingSession.user_id == user_id
).first()
if session:
logger.info(f"Found existing onboarding session for user {user_id}")
return session
# Create new session
session = OnboardingSession(
user_id=user_id,
current_step=1,
progress=0.0,
started_at=datetime.now()
)
session_db.add(session)
session_db.commit()
session_db.refresh(session)
logger.info(f"Created new onboarding session for user {user_id}")
return session
except SQLAlchemyError as e:
logger.error(f"Database error in get_or_create_session: {e}")
session_db.rollback()
raise
def get_session_by_user(self, user_id: str, db: Session = None) -> Optional[OnboardingSession]:
"""Get onboarding session for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
return session_db.query(OnboardingSession).filter(
OnboardingSession.user_id == user_id
).first()
except SQLAlchemyError as e:
logger.error(f"Error getting session: {e}")
return None
def update_step(self, user_id: str, step_number: int, db: Session = None) -> bool:
"""Update current step for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
session.current_step = step_number
session.updated_at = datetime.now()
session_db.commit()
logger.info(f"Updated user {user_id} to step {step_number}")
return True
except SQLAlchemyError as e:
logger.error(f"Error updating step: {e}")
session_db.rollback()
return False
def update_progress(self, user_id: str, progress: float, db: Session = None) -> bool:
"""Update progress percentage for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
session.progress = progress
session.updated_at = datetime.now()
session_db.commit()
logger.info(f"Updated user {user_id} progress to {progress}%")
return True
except SQLAlchemyError as e:
logger.error(f"Error updating progress: {e}")
session_db.rollback()
return False
def save_api_key(self, user_id: str, provider: str, api_key: str, db: Session = None) -> bool:
"""Save API key for user with isolation."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
# Get user's onboarding session
session = self.get_or_create_session(user_id, session_db)
# Check if key already exists for this provider and session
existing_key = session_db.query(APIKey).filter(
APIKey.session_id == session.id,
APIKey.provider == provider
).first()
if existing_key:
# Update existing key
existing_key.key = api_key
existing_key.updated_at = datetime.now()
logger.info(f"Updated {provider} API key for user {user_id}")
else:
# Create new key
new_key = APIKey(
session_id=session.id,
provider=provider,
key=api_key
)
session_db.add(new_key)
logger.info(f"Created new {provider} API key for user {user_id}")
session_db.commit()
return True
except SQLAlchemyError as e:
logger.error(f"Error saving API key: {e}")
session_db.rollback()
return False
def get_api_keys(self, user_id: str, db: Session = None) -> Dict[str, str]:
"""Get all API keys for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_session_by_user(user_id, session_db)
if not session:
return {}
keys = session_db.query(APIKey).filter(
APIKey.session_id == session.id
).all()
return {key.provider: key.key for key in keys}
except SQLAlchemyError as e:
logger.error(f"Error getting API keys: {e}")
return {}
def save_website_analysis(self, user_id: str, analysis_data: Dict[str, Any], db: Session = None) -> bool:
"""Save website analysis for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
# Check if analysis already exists
existing = session_db.query(WebsiteAnalysis).filter(
WebsiteAnalysis.session_id == session.id
).first()
if existing:
# Update existing
existing.website_url = analysis_data.get('website_url', existing.website_url)
existing.writing_style = analysis_data.get('writing_style')
existing.content_characteristics = analysis_data.get('content_characteristics')
existing.target_audience = analysis_data.get('target_audience')
existing.content_type = analysis_data.get('content_type')
existing.recommended_settings = analysis_data.get('recommended_settings')
existing.crawl_result = analysis_data.get('crawl_result')
existing.style_patterns = analysis_data.get('style_patterns')
existing.style_guidelines = analysis_data.get('style_guidelines')
existing.status = analysis_data.get('status', 'completed')
existing.updated_at = datetime.now()
logger.info(f"Updated website analysis for user {user_id}")
else:
# Create new
analysis = WebsiteAnalysis(
session_id=session.id,
website_url=analysis_data.get('website_url', ''),
writing_style=analysis_data.get('writing_style'),
content_characteristics=analysis_data.get('content_characteristics'),
target_audience=analysis_data.get('target_audience'),
content_type=analysis_data.get('content_type'),
recommended_settings=analysis_data.get('recommended_settings'),
crawl_result=analysis_data.get('crawl_result'),
style_patterns=analysis_data.get('style_patterns'),
style_guidelines=analysis_data.get('style_guidelines'),
status=analysis_data.get('status', 'completed')
)
session_db.add(analysis)
logger.info(f"Created website analysis for user {user_id}")
session_db.commit()
return True
except SQLAlchemyError as e:
logger.error(f"Error saving website analysis: {e}")
session_db.rollback()
return False
def get_website_analysis(self, user_id: str, db: Session = None) -> Optional[Dict[str, Any]]:
"""Get website analysis for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_session_by_user(user_id, session_db)
if not session:
return None
analysis = session_db.query(WebsiteAnalysis).filter(
WebsiteAnalysis.session_id == session.id
).first()
return analysis.to_dict() if analysis else None
except SQLAlchemyError as e:
logger.error(f"Error getting website analysis: {e}")
return None
def save_research_preferences(self, user_id: str, preferences: Dict[str, Any], db: Session = None) -> bool:
"""Save research preferences for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
# Check if preferences already exist
existing = session_db.query(ResearchPreferences).filter(
ResearchPreferences.session_id == session.id
).first()
if existing:
# Update existing
existing.research_depth = preferences.get('research_depth', existing.research_depth)
existing.content_types = preferences.get('content_types', existing.content_types)
existing.auto_research = preferences.get('auto_research', existing.auto_research)
existing.factual_content = preferences.get('factual_content', existing.factual_content)
existing.writing_style = preferences.get('writing_style')
existing.content_characteristics = preferences.get('content_characteristics')
existing.target_audience = preferences.get('target_audience')
existing.recommended_settings = preferences.get('recommended_settings')
existing.updated_at = datetime.now()
logger.info(f"Updated research preferences for user {user_id}")
else:
# Create new
prefs = ResearchPreferences(
session_id=session.id,
research_depth=preferences.get('research_depth', 'standard'),
content_types=preferences.get('content_types', []),
auto_research=preferences.get('auto_research', True),
factual_content=preferences.get('factual_content', True),
writing_style=preferences.get('writing_style'),
content_characteristics=preferences.get('content_characteristics'),
target_audience=preferences.get('target_audience'),
recommended_settings=preferences.get('recommended_settings')
)
session_db.add(prefs)
logger.info(f"Created research preferences for user {user_id}")
session_db.commit()
return True
except SQLAlchemyError as e:
logger.error(f"Error saving research preferences: {e}")
session_db.rollback()
return False
def save_persona_data(self, user_id: str, persona_data: Dict[str, Any], db: Session = None) -> bool:
"""Save persona data for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
# Check if persona data already exists for this user
existing = session_db.query(PersonaData).filter(
PersonaData.session_id == session.id
).first()
if existing:
# Update existing persona data
existing.core_persona = persona_data.get('corePersona')
existing.platform_personas = persona_data.get('platformPersonas')
existing.quality_metrics = persona_data.get('qualityMetrics')
existing.selected_platforms = persona_data.get('selectedPlatforms', [])
existing.updated_at = datetime.utcnow()
logger.info(f"Updated persona data for user {user_id}")
else:
# Create new persona data record
persona = PersonaData(
session_id=session.id,
core_persona=persona_data.get('corePersona'),
platform_personas=persona_data.get('platformPersonas'),
quality_metrics=persona_data.get('qualityMetrics'),
selected_platforms=persona_data.get('selectedPlatforms', [])
)
session_db.add(persona)
logger.info(f"Created persona data for user {user_id}")
session_db.commit()
return True
except SQLAlchemyError as e:
logger.error(f"Error saving persona data: {e}")
session_db.rollback()
return False
def get_research_preferences(self, user_id: str, db: Session = None) -> Optional[Dict[str, Any]]:
"""Get research preferences for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_session_by_user(user_id, session_db)
if not session:
return None
prefs = session_db.query(ResearchPreferences).filter(
ResearchPreferences.session_id == session.id
).first()
return prefs.to_dict() if prefs else None
except SQLAlchemyError as e:
logger.error(f"Error getting research preferences: {e}")
return None
def mark_onboarding_complete(self, user_id: str, db: Session = None) -> bool:
"""Mark onboarding as complete for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_or_create_session(user_id, session_db)
session.current_step = 6 # Final step
session.progress = 100.0
session.updated_at = datetime.now()
session_db.commit()
logger.info(f"Marked onboarding complete for user {user_id}")
return True
except SQLAlchemyError as e:
logger.error(f"Error marking onboarding complete: {e}")
session_db.rollback()
return False
def get_onboarding_status(self, user_id: str, db: Session = None) -> Dict[str, Any]:
"""Get comprehensive onboarding status for user."""
session_db = db or self.db
if not session_db:
raise ValueError("Database session required")
try:
session = self.get_session_by_user(user_id, session_db)
if not session:
# User hasn't started onboarding yet
return {
"is_completed": False,
"current_step": 1,
"progress": 0.0,
"started_at": None,
"updated_at": None
}
return {
"is_completed": session.current_step >= 6 and session.progress >= 100.0,
"current_step": session.current_step,
"progress": session.progress,
"started_at": session.started_at.isoformat() if session.started_at else None,
"updated_at": session.updated_at.isoformat() if session.updated_at else None
}
except SQLAlchemyError as e:
logger.error(f"Error getting onboarding status: {e}")
return {
"is_completed": False,
"current_step": 1,
"progress": 0.0,
"started_at": None,
"updated_at": None
}