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Improve the frontend and repository layer

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This commit is contained in:
Urtzi Alfaro
2025-10-23 07:44:54 +02:00
parent 8d30172483
commit 07c33fa578
112 changed files with 14726 additions and 2733 deletions
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7
services/demo_session/app/repositories/__init__.py Normal file
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@@ -0,0 +1,7 @@
"""
Demo Session Repositories
"""
from .demo_session_repository import DemoSessionRepository
__all__ = ["DemoSessionRepository"]

204
services/demo_session/app/repositories/demo_session_repository.py Normal file
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@@ -0,0 +1,204 @@
"""
Demo Session Repository
Data access layer for demo sessions
"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from datetime import datetime, timezone
from typing import Optional, List, Dict, Any
from uuid import UUID
import structlog
from app.models import DemoSession, DemoSessionStatus
logger = structlog.get_logger()
class DemoSessionRepository:
"""Repository for DemoSession data access"""
def __init__(self, db: AsyncSession):
self.db = db
async def create(self, session_data: Dict[str, Any]) -> DemoSession:
"""
Create a new demo session
Args:
session_data: Dictionary with session attributes
Returns:
Created DemoSession instance
"""
session = DemoSession(**session_data)
self.db.add(session)
await self.db.commit()
await self.db.refresh(session)
return session
async def get_by_session_id(self, session_id: str) -> Optional[DemoSession]:
"""
Get session by session_id
Args:
session_id: Session ID string
Returns:
DemoSession or None if not found
"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.session_id == session_id)
)
return result.scalar_one_or_none()
async def get_by_virtual_tenant_id(self, virtual_tenant_id: UUID) -> Optional[DemoSession]:
"""
Get session by virtual tenant ID
Args:
virtual_tenant_id: Virtual tenant UUID
Returns:
DemoSession or None if not found
"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.virtual_tenant_id == virtual_tenant_id)
)
return result.scalar_one_or_none()
async def update(self, session: DemoSession) -> DemoSession:
"""
Update an existing session
Args:
session: DemoSession instance with updates
Returns:
Updated DemoSession instance
"""
await self.db.commit()
await self.db.refresh(session)
return session
async def update_fields(self, session_id: str, **fields) -> None:
"""
Update specific fields of a session
Args:
session_id: Session ID to update
**fields: Field names and values to update
"""
await self.db.execute(
update(DemoSession)
.where(DemoSession.session_id == session_id)
.values(**fields)
)
await self.db.commit()
async def update_activity(self, session_id: str) -> None:
"""
Update last activity timestamp and increment request count
Args:
session_id: Session ID to update
"""
await self.db.execute(
update(DemoSession)
.where(DemoSession.session_id == session_id)
.values(
last_activity_at=datetime.now(timezone.utc),
request_count=DemoSession.request_count + 1
)
)
await self.db.commit()
async def mark_data_cloned(self, session_id: str) -> None:
"""
Mark session as having data cloned
Args:
session_id: Session ID to update
"""
await self.update_fields(session_id, data_cloned=True)
async def mark_redis_populated(self, session_id: str) -> None:
"""
Mark session as having Redis data populated
Args:
session_id: Session ID to update
"""
await self.update_fields(session_id, redis_populated=True)
async def destroy(self, session_id: str) -> None:
"""
Mark session as destroyed
Args:
session_id: Session ID to destroy
"""
await self.update_fields(
session_id,
status=DemoSessionStatus.DESTROYED,
destroyed_at=datetime.now(timezone.utc)
)
async def get_active_sessions_count(self) -> int:
"""
Get count of active sessions
Returns:
Number of active sessions
"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.status == DemoSessionStatus.ACTIVE)
)
return len(result.scalars().all())
async def get_all_sessions(self) -> List[DemoSession]:
"""
Get all demo sessions
Returns:
List of all DemoSession instances
"""
result = await self.db.execute(select(DemoSession))
return result.scalars().all()
async def get_sessions_by_status(self, status: DemoSessionStatus) -> List[DemoSession]:
"""
Get sessions by status
Args:
status: DemoSessionStatus to filter by
Returns:
List of DemoSession instances with the specified status
"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.status == status)
)
return result.scalars().all()
async def get_session_stats(self) -> Dict[str, Any]:
"""
Get session statistics
Returns:
Dictionary with session statistics
"""
all_sessions = await self.get_all_sessions()
active_sessions = [s for s in all_sessions if s.status == DemoSessionStatus.ACTIVE]
return {
"total_sessions": len(all_sessions),
"active_sessions": len(active_sessions),
"expired_sessions": len([s for s in all_sessions if s.status == DemoSessionStatus.EXPIRED]),
"destroyed_sessions": len([s for s in all_sessions if s.status == DemoSessionStatus.DESTROYED]),
"avg_duration_minutes": sum(
(s.destroyed_at - s.created_at).total_seconds() / 60
for s in all_sessions if s.destroyed_at
) / max(len([s for s in all_sessions if s.destroyed_at]), 1),
"total_requests": sum(s.request_count for s in all_sessions)
}

119
services/demo_session/app/services/session_manager.py
View File

@@ -4,7 +4,6 @@ Handles creation, extension, and destruction of demo sessions
"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, update
from datetime import datetime, timedelta, timezone
from typing import Optional, Dict, Any
import uuid
@@ -15,6 +14,7 @@ from app.models import DemoSession, DemoSessionStatus, CloningStatus
from app.core.redis_wrapper import DemoRedisWrapper
from app.core import settings
from app.services.clone_orchestrator import CloneOrchestrator
from app.repositories.demo_session_repository import DemoSessionRepository
logger = structlog.get_logger()
@@ -25,6 +25,7 @@ class DemoSessionManager:
def __init__(self, db: AsyncSession, redis: DemoRedisWrapper):
self.db = db
self.redis = redis
self.repository = DemoSessionRepository(db)
self.orchestrator = CloneOrchestrator()
async def create_session(
@@ -66,32 +67,30 @@ class DemoSessionManager:
base_tenant_id = uuid.UUID(base_tenant_id_str)
# Create session record
session = DemoSession(
session_id=session_id,
user_id=uuid.UUID(user_id) if user_id else None,
ip_address=ip_address,
user_agent=user_agent,
base_demo_tenant_id=base_tenant_id,
virtual_tenant_id=virtual_tenant_id,
demo_account_type=demo_account_type,
status=DemoSessionStatus.PENDING, # Start as pending until cloning completes
created_at=datetime.now(timezone.utc),
expires_at=datetime.now(timezone.utc) + timedelta(
# Create session record using repository
session_data = {
"session_id": session_id,
"user_id": uuid.UUID(user_id) if user_id else None,
"ip_address": ip_address,
"user_agent": user_agent,
"base_demo_tenant_id": base_tenant_id,
"virtual_tenant_id": virtual_tenant_id,
"demo_account_type": demo_account_type,
"status": DemoSessionStatus.PENDING, # Start as pending until cloning completes
"created_at": datetime.now(timezone.utc),
"expires_at": datetime.now(timezone.utc) + timedelta(
minutes=settings.DEMO_SESSION_DURATION_MINUTES
),
last_activity_at=datetime.now(timezone.utc),
data_cloned=False,
redis_populated=False,
session_metadata={
"last_activity_at": datetime.now(timezone.utc),
"data_cloned": False,
"redis_populated": False,
"session_metadata": {
"demo_config": demo_config,
"extension_count": 0
}
)
}
self.db.add(session)
await self.db.commit()
await self.db.refresh(session)
session = await self.repository.create(session_data)
# Store session metadata in Redis
await self._store_session_metadata(session)
@@ -107,19 +106,11 @@ class DemoSessionManager:
async def get_session(self, session_id: str) -> Optional[DemoSession]:
"""Get session by session_id"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.session_id == session_id)
)
return result.scalar_one_or_none()
return await self.repository.get_by_session_id(session_id)
async def get_session_by_virtual_tenant(self, virtual_tenant_id: str) -> Optional[DemoSession]:
"""Get session by virtual tenant ID"""
result = await self.db.execute(
select(DemoSession).where(
DemoSession.virtual_tenant_id == uuid.UUID(virtual_tenant_id)
)
)
return result.scalar_one_or_none()
return await self.repository.get_by_virtual_tenant_id(uuid.UUID(virtual_tenant_id))
async def extend_session(self, session_id: str) -> DemoSession:
"""
@@ -156,8 +147,7 @@ class DemoSessionManager:
session.last_activity_at = datetime.now(timezone.utc)
session.session_metadata["extension_count"] = extension_count + 1
await self.db.commit()
await self.db.refresh(session)
session = await self.repository.update(session)
# Extend Redis TTL
await self.redis.extend_session_ttl(
@@ -176,33 +166,15 @@ class DemoSessionManager:
async def update_activity(self, session_id: str):
"""Update last activity timestamp"""
await self.db.execute(
update(DemoSession)
.where(DemoSession.session_id == session_id)
.values(
last_activity_at=datetime.now(timezone.utc),
request_count=DemoSession.request_count + 1
)
)
await self.db.commit()
await self.repository.update_activity(session_id)
async def mark_data_cloned(self, session_id: str):
"""Mark session as having data cloned"""
await self.db.execute(
update(DemoSession)
.where(DemoSession.session_id == session_id)
.values(data_cloned=True)
)
await self.db.commit()
await self.repository.mark_data_cloned(session_id)
async def mark_redis_populated(self, session_id: str):
"""Mark session as having Redis data populated"""
await self.db.execute(
update(DemoSession)
.where(DemoSession.session_id == session_id)
.values(redis_populated=True)
)
await self.db.commit()
await self.repository.mark_redis_populated(session_id)
async def destroy_session(self, session_id: str):
"""
@@ -217,11 +189,8 @@ class DemoSessionManager:
logger.warning("Session not found for destruction", session_id=session_id)
return
# Update session status
session.status = DemoSessionStatus.DESTROYED
session.destroyed_at = datetime.now(timezone.utc)
await self.db.commit()
# Update session status via repository
await self.repository.destroy(session_id)
# Delete Redis data
await self.redis.delete_session_data(session_id)
@@ -229,10 +198,7 @@ class DemoSessionManager:
logger.info(
"Session destroyed",
session_id=session_id,
virtual_tenant_id=str(session.virtual_tenant_id),
duration_seconds=(
session.destroyed_at - session.created_at
).total_seconds()
virtual_tenant_id=str(session.virtual_tenant_id)
)
async def _store_session_metadata(self, session: DemoSession):
@@ -252,29 +218,11 @@ class DemoSessionManager:
async def get_active_sessions_count(self) -> int:
"""Get count of active sessions"""
result = await self.db.execute(
select(DemoSession).where(DemoSession.status == DemoSessionStatus.ACTIVE)
)
return len(result.scalars().all())
return await self.repository.get_active_sessions_count()
async def get_session_stats(self) -> Dict[str, Any]:
"""Get session statistics"""
result = await self.db.execute(select(DemoSession))
all_sessions = result.scalars().all()
active_sessions = [s for s in all_sessions if s.status == DemoSessionStatus.ACTIVE]
return {
"total_sessions": len(all_sessions),
"active_sessions": len(active_sessions),
"expired_sessions": len([s for s in all_sessions if s.status == DemoSessionStatus.EXPIRED]),
"destroyed_sessions": len([s for s in all_sessions if s.status == DemoSessionStatus.DESTROYED]),
"avg_duration_minutes": sum(
(s.destroyed_at - s.created_at).total_seconds() / 60
for s in all_sessions if s.destroyed_at
) / max(len([s for s in all_sessions if s.destroyed_at]), 1),
"total_requests": sum(s.request_count for s in all_sessions)
}
return await self.repository.get_session_stats()
async def trigger_orchestrated_cloning(
self,
@@ -299,7 +247,7 @@ class DemoSessionManager:
# Mark cloning as started
session.cloning_started_at = datetime.now(timezone.utc)
await self.db.commit()
await self.repository.update(session)
# Run orchestration
result = await self.orchestrator.clone_all_services(
@@ -340,8 +288,7 @@ class DemoSessionManager:
session.data_cloned = True
session.redis_populated = True
await self.db.commit()
await self.db.refresh(session)
await self.repository.update(session)
# Cache status in Redis for fast polling
await self._cache_session_status(session)

214
services/forecasting/app/repositories/forecasting_alert_repository.py Normal file
View File

@@ -0,0 +1,214 @@
# services/forecasting/app/repositories/forecasting_alert_repository.py
"""
Forecasting Alert Repository
Data access layer for forecasting-specific alert detection and analysis
"""
from typing import List, Dict, Any
from uuid import UUID
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
logger = structlog.get_logger()
class ForecastingAlertRepository:
"""Repository for forecasting alert data access"""
def __init__(self, session: AsyncSession):
self.session = session
async def get_weekend_demand_surges(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get predicted weekend demand surges
Returns forecasts showing significant growth over previous weeks
"""
try:
query = text("""
WITH weekend_forecast AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
f.predicted_demand,
f.forecast_date,
LAG(f.predicted_demand, 7) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
) as prev_week_demand,
AVG(f.predicted_demand) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) as avg_weekly_demand
FROM forecasts f
WHERE f.forecast_date >= CURRENT_DATE + INTERVAL '1 day'
AND f.forecast_date <= CURRENT_DATE + INTERVAL '3 days'
AND EXTRACT(DOW FROM f.forecast_date) IN (6, 0)
AND f.tenant_id = :tenant_id
),
surge_analysis AS (
SELECT *,
CASE
WHEN prev_week_demand > 0 THEN
(predicted_demand - prev_week_demand) / prev_week_demand * 100
ELSE 0
END as growth_percentage,
CASE
WHEN avg_weekly_demand > 0 THEN
(predicted_demand - avg_weekly_demand) / avg_weekly_demand * 100
ELSE 0
END as avg_growth_percentage
FROM weekend_forecast
)
SELECT * FROM surge_analysis
WHERE growth_percentage > 50 OR avg_growth_percentage > 50
ORDER BY growth_percentage DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get weekend demand surges", error=str(e), tenant_id=str(tenant_id))
raise
async def get_weather_impact_forecasts(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get weather impact on demand forecasts
Returns forecasts with rain or significant demand changes
"""
try:
query = text("""
WITH weather_impact AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
f.predicted_demand,
f.forecast_date,
f.weather_precipitation,
f.weather_temperature,
f.traffic_volume,
AVG(f.predicted_demand) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) as avg_demand
FROM forecasts f
WHERE f.forecast_date >= CURRENT_DATE + INTERVAL '1 day'
AND f.forecast_date <= CURRENT_DATE + INTERVAL '2 days'
AND f.tenant_id = :tenant_id
),
rain_impact AS (
SELECT *,
CASE
WHEN weather_precipitation > 2.0 THEN true
ELSE false
END as rain_forecast,
CASE
WHEN traffic_volume < 80 THEN true
ELSE false
END as low_traffic_expected,
(predicted_demand - avg_demand) / avg_demand * 100 as demand_change
FROM weather_impact
)
SELECT * FROM rain_impact
WHERE rain_forecast = true OR demand_change < -15
ORDER BY demand_change ASC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get weather impact forecasts", error=str(e), tenant_id=str(tenant_id))
raise
async def get_holiday_demand_spikes(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get historical holiday demand spike analysis
Returns products with significant holiday demand increases
"""
try:
query = text("""
WITH holiday_demand AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
AVG(f.predicted_demand) as avg_holiday_demand,
AVG(CASE WHEN f.is_holiday = false THEN f.predicted_demand END) as avg_normal_demand,
COUNT(*) as forecast_count
FROM forecasts f
WHERE f.created_at > CURRENT_DATE - INTERVAL '365 days'
AND f.tenant_id = :tenant_id
GROUP BY f.tenant_id, f.inventory_product_id, f.product_name
HAVING COUNT(*) >= 10
),
demand_spike_analysis AS (
SELECT *,
CASE
WHEN avg_normal_demand > 0 THEN
(avg_holiday_demand - avg_normal_demand) / avg_normal_demand * 100
ELSE 0
END as spike_percentage
FROM holiday_demand
)
SELECT * FROM demand_spike_analysis
WHERE spike_percentage > 25
ORDER BY spike_percentage DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get holiday demand spikes", error=str(e), tenant_id=str(tenant_id))
raise
async def get_demand_pattern_analysis(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get weekly demand pattern analysis for optimization
Returns products with significant demand variations
"""
try:
query = text("""
WITH weekly_patterns AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
EXTRACT(DOW FROM f.forecast_date) as day_of_week,
AVG(f.predicted_demand) as avg_demand,
STDDEV(f.predicted_demand) as demand_variance,
COUNT(*) as data_points
FROM forecasts f
WHERE f.created_at > CURRENT_DATE - INTERVAL '60 days'
AND f.tenant_id = :tenant_id
GROUP BY f.tenant_id, f.inventory_product_id, f.product_name, EXTRACT(DOW FROM f.forecast_date)
HAVING COUNT(*) >= 5
),
pattern_analysis AS (
SELECT
tenant_id, inventory_product_id, product_name,
MAX(avg_demand) as peak_demand,
MIN(avg_demand) as min_demand,
AVG(avg_demand) as overall_avg,
MAX(avg_demand) - MIN(avg_demand) as demand_range
FROM weekly_patterns
GROUP BY tenant_id, inventory_product_id, product_name
)
SELECT * FROM pattern_analysis
WHERE demand_range > overall_avg * 0.3
AND peak_demand > overall_avg * 1.5
ORDER BY demand_range DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get demand pattern analysis", error=str(e), tenant_id=str(tenant_id))
raise

233
services/forecasting/app/services/forecasting_alert_service.py
View File

@@ -66,66 +66,25 @@ class ForecastingAlertService(BaseAlertService, AlertServiceMixin):
"""Check for predicted weekend demand surges (alerts)"""
try:
self._checks_performed += 1
query = """
WITH weekend_forecast AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
f.predicted_demand,
f.forecast_date,
LAG(f.predicted_demand, 7) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
) as prev_week_demand,
AVG(f.predicted_demand) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) as avg_weekly_demand
FROM forecasts f
WHERE f.forecast_date >= CURRENT_DATE + INTERVAL '1 day'
AND f.forecast_date <= CURRENT_DATE + INTERVAL '3 days'
AND EXTRACT(DOW FROM f.forecast_date) IN (6, 0) -- Saturday, Sunday
AND f.tenant_id = $1
),
surge_analysis AS (
SELECT *,
CASE
WHEN prev_week_demand > 0 THEN
(predicted_demand - prev_week_demand) / prev_week_demand * 100
ELSE 0
END as growth_percentage,
CASE
WHEN avg_weekly_demand > 0 THEN
(predicted_demand - avg_weekly_demand) / avg_weekly_demand * 100
ELSE 0
END as avg_growth_percentage
FROM weekend_forecast
)
SELECT * FROM surge_analysis
WHERE growth_percentage > 50 OR avg_growth_percentage > 50
ORDER BY growth_percentage DESC
"""
from app.repositories.forecasting_alert_repository import ForecastingAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
surges = result.fetchall()
alert_repo = ForecastingAlertRepository(session)
surges = await alert_repo.get_weekend_demand_surges(tenant_id)
for surge in surges:
await self._process_weekend_surge(tenant_id, surge)
except Exception as e:
logger.error("Error checking weekend demand surge",
tenant_id=str(tenant_id),
logger.error("Error checking weekend demand surge",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Weekend demand surge check failed", error=str(e))
self._errors_count += 1
@@ -184,64 +143,25 @@ class ForecastingAlertService(BaseAlertService, AlertServiceMixin):
"""Check for weather impact on demand (alerts)"""
try:
self._checks_performed += 1
# Get weather forecast data and correlate with demand patterns
query = """
WITH weather_impact AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
f.predicted_demand,
f.forecast_date,
f.weather_precipitation,
f.weather_temperature,
f.traffic_volume,
AVG(f.predicted_demand) OVER (
PARTITION BY f.tenant_id, f.inventory_product_id
ORDER BY f.forecast_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) as avg_demand
FROM forecasts f
WHERE f.forecast_date >= CURRENT_DATE + INTERVAL '1 day'
AND f.forecast_date <= CURRENT_DATE + INTERVAL '2 days'
AND f.tenant_id = $1
),
rain_impact AS (
SELECT *,
CASE
WHEN weather_precipitation > 2.0 THEN true
ELSE false
END as rain_forecast,
CASE
WHEN traffic_volume < 80 THEN true
ELSE false
END as low_traffic_expected,
(predicted_demand - avg_demand) / avg_demand * 100 as demand_change
FROM weather_impact
)
SELECT * FROM rain_impact
WHERE rain_forecast = true OR demand_change < -15
ORDER BY demand_change ASC
"""
from app.repositories.forecasting_alert_repository import ForecastingAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
weather_impacts = result.fetchall()
alert_repo = ForecastingAlertRepository(session)
weather_impacts = await alert_repo.get_weather_impact_forecasts(tenant_id)
for impact in weather_impacts:
await self._process_weather_impact(tenant_id, impact)
except Exception as e:
logger.error("Error checking weather impact",
tenant_id=str(tenant_id),
logger.error("Error checking weather impact",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Weather impact check failed", error=str(e))
self._errors_count += 1
@@ -308,63 +228,34 @@ class ForecastingAlertService(BaseAlertService, AlertServiceMixin):
"""Check for upcoming Spanish holidays requiring preparation (alerts)"""
try:
self._checks_performed += 1
# Check for Spanish holidays in the next 3-7 days
upcoming_holidays = await self._get_upcoming_spanish_holidays(3, 7)
if not upcoming_holidays:
return
# Analyze historical demand spikes for holidays
query = """
WITH holiday_demand AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
AVG(f.predicted_demand) as avg_holiday_demand,
AVG(CASE WHEN f.is_holiday = false THEN f.predicted_demand END) as avg_normal_demand,
COUNT(*) as forecast_count
FROM forecasts f
WHERE f.created_at > CURRENT_DATE - INTERVAL '365 days'
AND f.tenant_id = $1
GROUP BY f.tenant_id, f.inventory_product_id, f.product_name
HAVING COUNT(*) >= 10
),
demand_spike_analysis AS (
SELECT *,
CASE
WHEN avg_normal_demand > 0 THEN
(avg_holiday_demand - avg_normal_demand) / avg_normal_demand * 100
ELSE 0
END as spike_percentage
FROM holiday_demand
)
SELECT * FROM demand_spike_analysis
WHERE spike_percentage > 25
ORDER BY spike_percentage DESC
"""
from app.repositories.forecasting_alert_repository import ForecastingAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
demand_spikes = result.fetchall()
alert_repo = ForecastingAlertRepository(session)
demand_spikes = await alert_repo.get_holiday_demand_spikes(tenant_id)
for holiday_info in upcoming_holidays:
for spike in demand_spikes:
await self._process_holiday_preparation(
tenant_id, holiday_info, spike
)
except Exception as e:
logger.error("Error checking holiday preparation",
tenant_id=str(tenant_id),
logger.error("Error checking holiday preparation",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Holiday preparation check failed", error=str(e))
self._errors_count += 1
@@ -415,57 +306,25 @@ class ForecastingAlertService(BaseAlertService, AlertServiceMixin):
"""Analyze demand patterns for recommendations"""
try:
self._checks_performed += 1
# Analyze weekly patterns for optimization opportunities
query = """
WITH weekly_patterns AS (
SELECT
f.tenant_id,
f.inventory_product_id,
f.product_name,
EXTRACT(DOW FROM f.forecast_date) as day_of_week,
AVG(f.predicted_demand) as avg_demand,
STDDEV(f.predicted_demand) as demand_variance,
COUNT(*) as data_points
FROM forecasts f
WHERE f.created_at > CURRENT_DATE - INTERVAL '60 days'
AND f.tenant_id = $1
GROUP BY f.tenant_id, f.inventory_product_id, f.product_name, EXTRACT(DOW FROM f.forecast_date)
HAVING COUNT(*) >= 5
),
pattern_analysis AS (
SELECT
tenant_id, inventory_product_id, product_name,
MAX(avg_demand) as peak_demand,
MIN(avg_demand) as min_demand,
AVG(avg_demand) as overall_avg,
MAX(avg_demand) - MIN(avg_demand) as demand_range
FROM weekly_patterns
GROUP BY tenant_id, inventory_product_id, product_name
)
SELECT * FROM pattern_analysis
WHERE demand_range > overall_avg * 0.3
AND peak_demand > overall_avg * 1.5
ORDER BY demand_range DESC
"""
from app.repositories.forecasting_alert_repository import ForecastingAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
patterns = result.fetchall()
alert_repo = ForecastingAlertRepository(session)
patterns = await alert_repo.get_demand_pattern_analysis(tenant_id)
for pattern in patterns:
await self._generate_demand_pattern_recommendation(tenant_id, pattern)
except Exception as e:
logger.error("Error analyzing demand patterns",
tenant_id=str(tenant_id),
logger.error("Error analyzing demand patterns",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Demand pattern analysis failed", error=str(e))
self._errors_count += 1

43
services/inventory/app/api/internal_demo.py
View File

@@ -20,7 +20,6 @@ sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent.parent))
from app.core.database import get_db
from app.models.inventory import Ingredient, Stock
from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
from shared.messaging.rabbitmq import RabbitMQClient
logger = structlog.get_logger()
router = APIRouter(prefix="/internal/demo", tags=["internal"])
@@ -254,44 +253,12 @@ async def clone_demo_data(
# Commit all changes
await db.commit()
# Generate inventory alerts with RabbitMQ publishing
rabbitmq_client = None
try:
from shared.utils.alert_generator import generate_inventory_alerts
# NOTE: Alert generation removed - alerts are now generated automatically by the
# inventory_alert_service which runs scheduled checks every 2-5 minutes.
# This eliminates duplicate alerts and provides a more realistic demo experience.
stats["alerts_generated"] = 0
# Initialize RabbitMQ client for alert publishing
rabbitmq_host = os.getenv("RABBITMQ_HOST", "rabbitmq-service")
rabbitmq_user = os.getenv("RABBITMQ_USER", "bakery")
rabbitmq_password = os.getenv("RABBITMQ_PASSWORD", "forecast123")
rabbitmq_port = os.getenv("RABBITMQ_PORT", "5672")
rabbitmq_vhost = os.getenv("RABBITMQ_VHOST", "/")
rabbitmq_url = f"amqp://{rabbitmq_user}:{rabbitmq_password}@{rabbitmq_host}:{rabbitmq_port}{rabbitmq_vhost}"
rabbitmq_client = RabbitMQClient(rabbitmq_url, service_name="inventory")
await rabbitmq_client.connect()
# Generate alerts and publish to RabbitMQ
alerts_count = await generate_inventory_alerts(
db,
virtual_uuid,
session_created_at,
rabbitmq_client=rabbitmq_client
)
stats["alerts_generated"] = alerts_count
await db.commit()
logger.info(f"Generated {alerts_count} inventory alerts", virtual_tenant_id=virtual_tenant_id)
except Exception as e:
logger.warning(f"Failed to generate alerts: {str(e)}", exc_info=True)
stats["alerts_generated"] = 0
finally:
# Clean up RabbitMQ connection
if rabbitmq_client:
try:
await rabbitmq_client.disconnect()
except Exception as cleanup_error:
logger.warning(f"Error disconnecting RabbitMQ: {cleanup_error}")
total_records = sum(stats.values())
total_records = stats["ingredients"] + stats["stock_batches"]
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(

374
services/inventory/app/api/sustainability.py Normal file
View File

@@ -0,0 +1,374 @@
# ================================================================
# services/inventory/app/api/sustainability.py
# ================================================================
"""
Sustainability API endpoints for Environmental Impact & SDG Compliance
Following standardized URL structure: /api/v1/tenants/{tenant_id}/sustainability/{operation}
"""
from datetime import datetime, timedelta
from typing import Optional
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException, Query, Path, status
from fastapi.responses import JSONResponse
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
from shared.auth.decorators import get_current_user_dep
from app.core.database import get_db
from app.services.sustainability_service import SustainabilityService
from app.schemas.sustainability import (
SustainabilityMetrics,
GrantReport,
SustainabilityWidgetData,
SustainabilityMetricsRequest,
GrantReportRequest
)
from shared.routing import RouteBuilder
logger = structlog.get_logger()
# Create route builder for consistent URL structure
route_builder = RouteBuilder('sustainability')
router = APIRouter(tags=["sustainability"])
# ===== Dependency Injection =====
async def get_sustainability_service() -> SustainabilityService:
"""Get sustainability service instance"""
return SustainabilityService()
# ===== SUSTAINABILITY ENDPOINTS =====
@router.get(
"/api/v1/tenants/{tenant_id}/sustainability/metrics",
response_model=SustainabilityMetrics,
summary="Get Sustainability Metrics",
description="Get comprehensive sustainability metrics including environmental impact, SDG compliance, and grant readiness"
)
async def get_sustainability_metrics(
tenant_id: UUID = Path(..., description="Tenant ID"),
start_date: Optional[datetime] = Query(None, description="Start date for metrics (default: 30 days ago)"),
end_date: Optional[datetime] = Query(None, description="End date for metrics (default: now)"),
current_user: dict = Depends(get_current_user_dep),
sustainability_service: SustainabilityService = Depends(get_sustainability_service),
db: AsyncSession = Depends(get_db)
):
"""
Get comprehensive sustainability metrics for the tenant.
**Includes:**
- Food waste metrics (production, inventory, total)
- Environmental impact (CO2, water, land use)
- UN SDG 12.3 compliance tracking
- Waste avoided through AI predictions
- Financial impact analysis
- Grant program eligibility assessment
**Use cases:**
- Dashboard displays
- Grant applications
- Sustainability reporting
- Compliance verification
"""
try:
metrics = await sustainability_service.get_sustainability_metrics(
db=db,
tenant_id=tenant_id,
start_date=start_date,
end_date=end_date
)
logger.info(
"Sustainability metrics retrieved",
tenant_id=str(tenant_id),
user_id=current_user.get('user_id'),
waste_reduction=metrics.get('sdg_compliance', {}).get('sdg_12_3', {}).get('reduction_achieved', 0)
)
return metrics
except Exception as e:
logger.error(
"Error getting sustainability metrics",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to retrieve sustainability metrics: {str(e)}"
)
@router.get(
"/api/v1/tenants/{tenant_id}/sustainability/widget",
response_model=SustainabilityWidgetData,
summary="Get Sustainability Widget Data",
description="Get simplified sustainability data optimized for dashboard widgets"
)
async def get_sustainability_widget_data(
tenant_id: UUID = Path(..., description="Tenant ID"),
days: int = Query(30, ge=1, le=365, description="Number of days to analyze"),
current_user: dict = Depends(get_current_user_dep),
sustainability_service: SustainabilityService = Depends(get_sustainability_service),
db: AsyncSession = Depends(get_db)
):
"""
Get simplified sustainability metrics for dashboard widgets.
**Optimized for:**
- Dashboard displays
- Quick overview cards
- Real-time monitoring
**Returns:**
- Key metrics only
- Human-readable values
- Status indicators
"""
try:
end_date = datetime.now()
start_date = end_date - timedelta(days=days)
metrics = await sustainability_service.get_sustainability_metrics(
db=db,
tenant_id=tenant_id,
start_date=start_date,
end_date=end_date
)
# Extract widget-friendly data
widget_data = {
'total_waste_kg': metrics['waste_metrics']['total_waste_kg'],
'waste_reduction_percentage': metrics['sdg_compliance']['sdg_12_3']['reduction_achieved'],
'co2_saved_kg': metrics['environmental_impact']['co2_emissions']['kg'],
'water_saved_liters': metrics['environmental_impact']['water_footprint']['liters'],
'trees_equivalent': metrics['environmental_impact']['co2_emissions']['trees_to_offset'],
'sdg_status': metrics['sdg_compliance']['sdg_12_3']['status'],
'sdg_progress': metrics['sdg_compliance']['sdg_12_3']['progress_to_target'],
'grant_programs_ready': len(metrics['grant_readiness']['recommended_applications']),
'financial_savings_eur': metrics['financial_impact']['waste_cost_eur']
}
logger.info(
"Widget data retrieved",
tenant_id=str(tenant_id),
user_id=current_user.get('user_id')
)
return widget_data
except Exception as e:
logger.error(
"Error getting widget data",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to retrieve widget data: {str(e)}"
)
@router.post(
"/api/v1/tenants/{tenant_id}/sustainability/export/grant-report",
response_model=GrantReport,
summary="Export Grant Application Report",
description="Generate a comprehensive report formatted for grant applications"
)
async def export_grant_report(
tenant_id: UUID = Path(..., description="Tenant ID"),
request: GrantReportRequest = None,
current_user: dict = Depends(get_current_user_dep),
sustainability_service: SustainabilityService = Depends(get_sustainability_service),
db: AsyncSession = Depends(get_db)
):
"""
Generate comprehensive grant application report.
**Supported grant types:**
- `general`: General sustainability report
- `eu_horizon`: EU Horizon Europe format
- `farm_to_fork`: EU Farm to Fork Strategy
- `circular_economy`: Circular Economy grants
- `un_sdg`: UN SDG certification
**Export formats:**
- `json`: JSON format (default)
- `pdf`: PDF document (future)
- `csv`: CSV export (future)
**Use cases:**
- Grant applications
- Compliance reporting
- Investor presentations
- Certification requests
"""
try:
if request is None:
request = GrantReportRequest()
report = await sustainability_service.export_grant_report(
db=db,
tenant_id=tenant_id,
grant_type=request.grant_type,
start_date=request.start_date,
end_date=request.end_date
)
logger.info(
"Grant report exported",
tenant_id=str(tenant_id),
grant_type=request.grant_type,
user_id=current_user.get('user_id')
)
# For now, return JSON. In future, support PDF/CSV generation
if request.format == 'json':
return report
else:
# Future: Generate PDF or CSV
raise HTTPException(
status_code=status.HTTP_501_NOT_IMPLEMENTED,
detail=f"Export format '{request.format}' not yet implemented. Use 'json' for now."
)
except Exception as e:
logger.error(
"Error exporting grant report",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to export grant report: {str(e)}"
)
@router.get(
"/api/v1/tenants/{tenant_id}/sustainability/sdg-compliance",
summary="Get SDG 12.3 Compliance Status",
description="Get detailed UN SDG 12.3 compliance status and progress"
)
async def get_sdg_compliance(
tenant_id: UUID = Path(..., description="Tenant ID"),
current_user: dict = Depends(get_current_user_dep),
sustainability_service: SustainabilityService = Depends(get_sustainability_service),
db: AsyncSession = Depends(get_db)
):
"""
Get detailed UN SDG 12.3 compliance information.
**SDG 12.3 Target:**
By 2030, halve per capita global food waste at the retail and consumer levels
and reduce food losses along production and supply chains, including post-harvest losses.
**Returns:**
- Current compliance status
- Progress toward 50% reduction target
- Baseline comparison
- Certification readiness
- Improvement recommendations
"""
try:
metrics = await sustainability_service.get_sustainability_metrics(
db=db,
tenant_id=tenant_id
)
sdg_data = {
'sdg_12_3_compliance': metrics['sdg_compliance']['sdg_12_3'],
'baseline_period': metrics['sdg_compliance']['baseline_period'],
'certification_ready': metrics['sdg_compliance']['certification_ready'],
'improvement_areas': metrics['sdg_compliance']['improvement_areas'],
'current_waste': metrics['waste_metrics'],
'environmental_impact': metrics['environmental_impact']
}
logger.info(
"SDG compliance data retrieved",
tenant_id=str(tenant_id),
status=sdg_data['sdg_12_3_compliance']['status']
)
return sdg_data
except Exception as e:
logger.error(
"Error getting SDG compliance",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to retrieve SDG compliance data: {str(e)}"
)
@router.get(
"/api/v1/tenants/{tenant_id}/sustainability/environmental-impact",
summary="Get Environmental Impact",
description="Get detailed environmental impact metrics"
)
async def get_environmental_impact(
tenant_id: UUID = Path(..., description="Tenant ID"),
days: int = Query(30, ge=1, le=365, description="Number of days to analyze"),
current_user: dict = Depends(get_current_user_dep),
sustainability_service: SustainabilityService = Depends(get_sustainability_service),
db: AsyncSession = Depends(get_db)
):
"""
Get detailed environmental impact of food waste.
**Metrics included:**
- CO2 emissions (kg and tons)
- Water footprint (liters and cubic meters)
- Land use (m² and hectares)
- Human-relatable equivalents (car km, showers, etc.)
**Use cases:**
- Sustainability reports
- Marketing materials
- Customer communication
- ESG reporting
"""
try:
end_date = datetime.now()
start_date = end_date - timedelta(days=days)
metrics = await sustainability_service.get_sustainability_metrics(
db=db,
tenant_id=tenant_id,
start_date=start_date,
end_date=end_date
)
impact_data = {
'period': metrics['period'],
'waste_metrics': metrics['waste_metrics'],
'environmental_impact': metrics['environmental_impact'],
'avoided_impact': metrics['avoided_waste']['environmental_impact_avoided'],
'financial_impact': metrics['financial_impact']
}
logger.info(
"Environmental impact data retrieved",
tenant_id=str(tenant_id),
co2_kg=impact_data['environmental_impact']['co2_emissions']['kg']
)
return impact_data
except Exception as e:
logger.error(
"Error getting environmental impact",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to retrieve environmental impact: {str(e)}"
)

8
services/inventory/app/main.py
View File

@@ -24,6 +24,7 @@ from app.api import (
food_safety_operations,
dashboard,
analytics,
sustainability,
internal_demo
)
@@ -103,7 +104,11 @@ class InventoryService(StandardFastAPIService):
"dashboard_analytics",
"business_model_detection",
"real_time_alerts",
"regulatory_reporting"
"regulatory_reporting",
"sustainability_tracking",
"sdg_compliance",
"environmental_impact",
"grant_reporting"
]
@@ -127,6 +132,7 @@ service.add_router(food_safety_alerts.router)
service.add_router(food_safety_operations.router)
service.add_router(dashboard.router)
service.add_router(analytics.router)
service.add_router(sustainability.router)
service.add_router(internal_demo.router)

464
services/inventory/app/repositories/dashboard_repository.py Normal file
View File

@@ -0,0 +1,464 @@
# services/inventory/app/repositories/dashboard_repository.py
"""
Dashboard Repository for complex dashboard queries
"""
from typing import List, Optional, Dict, Any
from uuid import UUID
from datetime import datetime
from decimal import Decimal
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
logger = structlog.get_logger()
class DashboardRepository:
"""Repository for dashboard-specific database queries"""
def __init__(self, session: AsyncSession):
self.session = session
async def get_business_model_metrics(self, tenant_id: UUID) -> Dict[str, Any]:
"""Get ingredient metrics for business model detection"""
try:
query = text("""
SELECT
COUNT(*) as total_ingredients,
COUNT(CASE WHEN product_type::text = 'finished_product' THEN 1 END) as finished_products,
COUNT(CASE WHEN product_type::text = 'ingredient' THEN 1 END) as raw_ingredients,
COUNT(DISTINCT st.supplier_id) as supplier_count,
AVG(CASE WHEN s.available_quantity IS NOT NULL THEN s.available_quantity ELSE 0 END) as avg_stock_level
FROM ingredients i
LEFT JOIN (
SELECT ingredient_id, SUM(available_quantity) as available_quantity
FROM stock WHERE tenant_id = :tenant_id GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
LEFT JOIN (
SELECT ingredient_id, supplier_id
FROM stock WHERE tenant_id = :tenant_id AND supplier_id IS NOT NULL
GROUP BY ingredient_id, supplier_id
) st ON i.id = st.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
row = result.fetchone()
if not row:
return {
"total_ingredients": 0,
"finished_products": 0,
"raw_ingredients": 0,
"supplier_count": 0,
"avg_stock_level": 0
}
return {
"total_ingredients": row.total_ingredients,
"finished_products": row.finished_products,
"raw_ingredients": row.raw_ingredients,
"supplier_count": row.supplier_count,
"avg_stock_level": float(row.avg_stock_level) if row.avg_stock_level else 0
}
except Exception as e:
logger.error("Failed to get business model metrics", error=str(e), tenant_id=str(tenant_id))
raise
async def get_stock_by_category(self, tenant_id: UUID) -> Dict[str, Dict[str, Any]]:
"""Get stock breakdown by category"""
try:
query = text("""
SELECT
COALESCE(i.ingredient_category::text, i.product_category::text, 'other') as category,
COUNT(*) as count,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value
FROM ingredients i
LEFT JOIN (
SELECT ingredient_id, SUM(available_quantity) as available_quantity, AVG(unit_cost) as unit_cost
FROM stock WHERE tenant_id = :tenant_id GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY category
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
categories = {}
for row in result.fetchall():
categories[row.category] = {
"count": row.count,
"total_value": float(row.total_value)
}
return categories
except Exception as e:
logger.error("Failed to get stock by category", error=str(e), tenant_id=str(tenant_id))
raise
async def get_alerts_by_severity(self, tenant_id: UUID) -> Dict[str, int]:
"""Get active alerts breakdown by severity"""
try:
query = text("""
SELECT severity, COUNT(*) as count
FROM food_safety_alerts
WHERE tenant_id = :tenant_id AND status = 'active'
GROUP BY severity
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
alerts = {"critical": 0, "high": 0, "medium": 0, "low": 0}
for row in result.fetchall():
alerts[row.severity] = row.count
return alerts
except Exception as e:
logger.error("Failed to get alerts by severity", error=str(e), tenant_id=str(tenant_id))
raise
async def get_movements_by_type(self, tenant_id: UUID, days: int = 7) -> Dict[str, int]:
"""Get stock movements breakdown by type for recent period"""
try:
query = text("""
SELECT sm.movement_type, COUNT(*) as count
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_date > NOW() - INTERVAL '7 days'
GROUP BY sm.movement_type
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
movements = {}
for row in result.fetchall():
movements[row.movement_type] = row.count
return movements
except Exception as e:
logger.error("Failed to get movements by type", error=str(e), tenant_id=str(tenant_id))
raise
async def get_alert_trend(self, tenant_id: UUID, days: int = 30) -> List[Dict[str, Any]]:
"""Get alert trend over time"""
try:
query = text(f"""
SELECT
DATE(created_at) as alert_date,
COUNT(*) as alert_count,
COUNT(CASE WHEN severity IN ('high', 'critical') THEN 1 END) as high_severity_count
FROM food_safety_alerts
WHERE tenant_id = :tenant_id
AND created_at > NOW() - INTERVAL '{days} days'
GROUP BY DATE(created_at)
ORDER BY alert_date
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [
{
"date": row.alert_date.isoformat(),
"total_alerts": row.alert_count,
"high_severity_alerts": row.high_severity_count
}
for row in result.fetchall()
]
except Exception as e:
logger.error("Failed to get alert trend", error=str(e), tenant_id=str(tenant_id))
raise
async def get_recent_stock_movements(
self,
tenant_id: UUID,
limit: int = 20
) -> List[Dict[str, Any]]:
"""Get recent stock movements"""
try:
query = text("""
SELECT
'stock_movement' as activity_type,
CASE
WHEN movement_type = 'PURCHASE' THEN 'Stock added: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'PRODUCTION_USE' THEN 'Stock consumed: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'WASTE' THEN 'Stock wasted: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'ADJUSTMENT' THEN 'Stock adjusted: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
ELSE 'Stock movement: ' || i.name
END as description,
sm.movement_date as timestamp,
sm.created_by as user_id,
CASE
WHEN movement_type = 'WASTE' THEN 'high'
WHEN movement_type = 'ADJUSTMENT' THEN 'medium'
ELSE 'low'
END as impact_level,
sm.id as entity_id,
'stock_movement' as entity_type
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
ORDER BY sm.movement_date DESC
LIMIT :limit
""")
result = await self.session.execute(query, {"tenant_id": tenant_id, "limit": limit})
return [
{
"activity_type": row.activity_type,
"description": row.description,
"timestamp": row.timestamp,
"user_id": row.user_id,
"impact_level": row.impact_level,
"entity_id": row.entity_id,
"entity_type": row.entity_type
}
for row in result.fetchall()
]
except Exception as e:
logger.error("Failed to get recent stock movements", error=str(e), tenant_id=str(tenant_id))
raise
async def get_recent_food_safety_alerts(
self,
tenant_id: UUID,
limit: int = 20
) -> List[Dict[str, Any]]:
"""Get recent food safety alerts"""
try:
query = text("""
SELECT
'food_safety_alert' as activity_type,
title as description,
created_at as timestamp,
created_by as user_id,
CASE
WHEN severity = 'critical' THEN 'high'
WHEN severity = 'high' THEN 'medium'
ELSE 'low'
END as impact_level,
id as entity_id,
'food_safety_alert' as entity_type
FROM food_safety_alerts
WHERE tenant_id = :tenant_id
ORDER BY created_at DESC
LIMIT :limit
""")
result = await self.session.execute(query, {"tenant_id": tenant_id, "limit": limit})
return [
{
"activity_type": row.activity_type,
"description": row.description,
"timestamp": row.timestamp,
"user_id": row.user_id,
"impact_level": row.impact_level,
"entity_id": row.entity_id,
"entity_type": row.entity_type
}
for row in result.fetchall()
]
except Exception as e:
logger.error("Failed to get recent food safety alerts", error=str(e), tenant_id=str(tenant_id))
raise
async def get_live_metrics(self, tenant_id: UUID) -> Dict[str, Any]:
"""Get real-time inventory metrics"""
try:
query = text("""
SELECT
COUNT(DISTINCT i.id) as total_ingredients,
COUNT(CASE WHEN s.available_quantity > i.low_stock_threshold THEN 1 END) as in_stock,
COUNT(CASE WHEN s.available_quantity <= i.low_stock_threshold THEN 1 END) as low_stock,
COUNT(CASE WHEN s.available_quantity = 0 THEN 1 END) as out_of_stock,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value,
COUNT(CASE WHEN s.expiration_date < NOW() THEN 1 END) as expired_items,
COUNT(CASE WHEN s.expiration_date BETWEEN NOW() AND NOW() + INTERVAL '7 days' THEN 1 END) as expiring_soon
FROM ingredients i
LEFT JOIN stock s ON i.id = s.ingredient_id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
metrics = result.fetchone()
if not metrics:
return {
"total_ingredients": 0,
"in_stock": 0,
"low_stock": 0,
"out_of_stock": 0,
"total_value": 0.0,
"expired_items": 0,
"expiring_soon": 0,
"last_updated": datetime.now().isoformat()
}
return {
"total_ingredients": metrics.total_ingredients,
"in_stock": metrics.in_stock,
"low_stock": metrics.low_stock,
"out_of_stock": metrics.out_of_stock,
"total_value": float(metrics.total_value),
"expired_items": metrics.expired_items,
"expiring_soon": metrics.expiring_soon,
"last_updated": datetime.now().isoformat()
}
except Exception as e:
logger.error("Failed to get live metrics", error=str(e), tenant_id=str(tenant_id))
raise
async def get_stock_status_by_category(
self,
tenant_id: UUID
) -> List[Dict[str, Any]]:
"""Get stock status breakdown by category"""
try:
query = text("""
SELECT
COALESCE(i.ingredient_category::text, i.product_category::text, 'other') as category,
COUNT(DISTINCT i.id) as total_ingredients,
COUNT(CASE WHEN s.available_quantity > i.low_stock_threshold THEN 1 END) as in_stock,
COUNT(CASE WHEN s.available_quantity <= i.low_stock_threshold AND s.available_quantity > 0 THEN 1 END) as low_stock,
COUNT(CASE WHEN COALESCE(s.available_quantity, 0) = 0 THEN 1 END) as out_of_stock,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value
FROM ingredients i
LEFT JOIN (
SELECT
ingredient_id,
SUM(available_quantity) as available_quantity,
AVG(unit_cost) as unit_cost
FROM stock
WHERE tenant_id = :tenant_id AND is_available = true
GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY category
ORDER BY total_value DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [
{
"category": row.category,
"total_ingredients": row.total_ingredients,
"in_stock": row.in_stock,
"low_stock": row.low_stock,
"out_of_stock": row.out_of_stock,
"total_value": float(row.total_value)
}
for row in result.fetchall()
]
except Exception as e:
logger.error("Failed to get stock status by category", error=str(e), tenant_id=str(tenant_id))
raise
async def get_alerts_summary(
self,
tenant_id: UUID,
alert_types: Optional[List[str]] = None,
severities: Optional[List[str]] = None,
date_from: Optional[datetime] = None,
date_to: Optional[datetime] = None
) -> List[Dict[str, Any]]:
"""Get alerts summary by type and severity with filters"""
try:
# Build query with filters
where_conditions = ["tenant_id = :tenant_id", "status = 'active'"]
params = {"tenant_id": tenant_id}
if alert_types:
where_conditions.append("alert_type = ANY(:alert_types)")
params["alert_types"] = alert_types
if severities:
where_conditions.append("severity = ANY(:severities)")
params["severities"] = severities
if date_from:
where_conditions.append("created_at >= :date_from")
params["date_from"] = date_from
if date_to:
where_conditions.append("created_at <= :date_to")
params["date_to"] = date_to
where_clause = " AND ".join(where_conditions)
query = text(f"""
SELECT
alert_type,
severity,
COUNT(*) as count,
MIN(EXTRACT(EPOCH FROM (NOW() - created_at))/3600)::int as oldest_alert_age_hours,
AVG(CASE WHEN resolved_at IS NOT NULL
THEN EXTRACT(EPOCH FROM (resolved_at - created_at))/3600
ELSE NULL END)::int as avg_resolution_hours
FROM food_safety_alerts
WHERE {where_clause}
GROUP BY alert_type, severity
ORDER BY severity DESC, count DESC
""")
result = await self.session.execute(query, params)
return [
{
"alert_type": row.alert_type,
"severity": row.severity,
"count": row.count,
"oldest_alert_age_hours": row.oldest_alert_age_hours,
"average_resolution_time_hours": row.avg_resolution_hours
}
for row in result.fetchall()
]
except Exception as e:
logger.error("Failed to get alerts summary", error=str(e), tenant_id=str(tenant_id))
raise
async def get_ingredient_stock_levels(self, tenant_id: UUID) -> Dict[str, float]:
"""
Get current stock levels for all ingredients
Args:
tenant_id: Tenant UUID
Returns:
Dictionary mapping ingredient_id to current stock level
"""
try:
stock_query = text("""
SELECT
i.id as ingredient_id,
COALESCE(SUM(s.available_quantity), 0) as current_stock
FROM ingredients i
LEFT JOIN stock s ON i.id = s.ingredient_id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id
""")
result = await self.session.execute(stock_query, {"tenant_id": tenant_id})
stock_levels = {}
for row in result.fetchall():
stock_levels[str(row.ingredient_id)] = float(row.current_stock)
return stock_levels
except Exception as e:
logger.error("Failed to get ingredient stock levels", error=str(e), tenant_id=str(tenant_id))
raise

279
services/inventory/app/repositories/food_safety_repository.py Normal file
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# services/inventory/app/repositories/food_safety_repository.py
"""
Food Safety Repository
Data access layer for food safety compliance and monitoring
"""
from typing import List, Optional, Dict, Any
from uuid import UUID
from datetime import datetime
from sqlalchemy import text, select
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
from app.models.food_safety import (
FoodSafetyCompliance,
FoodSafetyAlert,
TemperatureLog,
ComplianceStatus
)
logger = structlog.get_logger()
class FoodSafetyRepository:
"""Repository for food safety data access"""
def __init__(self, session: AsyncSession):
self.session = session
# ===== COMPLIANCE METHODS =====
async def create_compliance(self, compliance: FoodSafetyCompliance) -> FoodSafetyCompliance:
"""
Create a new compliance record
Args:
compliance: FoodSafetyCompliance instance
Returns:
Created FoodSafetyCompliance instance
"""
self.session.add(compliance)
await self.session.flush()
await self.session.refresh(compliance)
return compliance
async def get_compliance_by_id(
self,
compliance_id: UUID,
tenant_id: UUID
) -> Optional[FoodSafetyCompliance]:
"""
Get compliance record by ID
Args:
compliance_id: Compliance record UUID
tenant_id: Tenant UUID for authorization
Returns:
FoodSafetyCompliance or None
"""
compliance = await self.session.get(FoodSafetyCompliance, compliance_id)
if compliance and compliance.tenant_id == tenant_id:
return compliance
return None
async def update_compliance(
self,
compliance: FoodSafetyCompliance
) -> FoodSafetyCompliance:
"""
Update compliance record
Args:
compliance: FoodSafetyCompliance instance with updates
Returns:
Updated FoodSafetyCompliance instance
"""
await self.session.flush()
await self.session.refresh(compliance)
return compliance
async def get_compliance_stats(self, tenant_id: UUID) -> Dict[str, int]:
"""
Get compliance statistics for dashboard
Args:
tenant_id: Tenant UUID
Returns:
Dictionary with compliance counts by status
"""
try:
query = text("""
SELECT
COUNT(*) as total,
COUNT(CASE WHEN compliance_status = 'COMPLIANT' THEN 1 END) as compliant,
COUNT(CASE WHEN compliance_status = 'NON_COMPLIANT' THEN 1 END) as non_compliant,
COUNT(CASE WHEN compliance_status = 'PENDING_REVIEW' THEN 1 END) as pending_review
FROM food_safety_compliance
WHERE tenant_id = :tenant_id AND is_active = true
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
row = result.fetchone()
if not row:
return {
"total": 0,
"compliant": 0,
"non_compliant": 0,
"pending_review": 0
}
return {
"total": row.total or 0,
"compliant": row.compliant or 0,
"non_compliant": row.non_compliant or 0,
"pending_review": row.pending_review or 0
}
except Exception as e:
logger.error("Failed to get compliance stats", error=str(e), tenant_id=str(tenant_id))
raise
# ===== TEMPERATURE MONITORING METHODS =====
async def get_temperature_stats(self, tenant_id: UUID) -> Dict[str, Any]:
"""
Get temperature monitoring statistics
Args:
tenant_id: Tenant UUID
Returns:
Dictionary with temperature monitoring stats
"""
try:
query = text("""
SELECT
COUNT(DISTINCT equipment_id) as sensors_online,
COUNT(CASE WHEN NOT is_within_range AND recorded_at > NOW() - INTERVAL '24 hours' THEN 1 END) as violations_24h
FROM temperature_logs
WHERE tenant_id = :tenant_id AND recorded_at > NOW() - INTERVAL '1 hour'
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
row = result.fetchone()
if not row:
return {
"sensors_online": 0,
"violations_24h": 0
}
return {
"sensors_online": row.sensors_online or 0,
"violations_24h": row.violations_24h or 0
}
except Exception as e:
logger.error("Failed to get temperature stats", error=str(e), tenant_id=str(tenant_id))
raise
# ===== EXPIRATION TRACKING METHODS =====
async def get_expiration_stats(self, tenant_id: UUID) -> Dict[str, int]:
"""
Get expiration tracking statistics
Args:
tenant_id: Tenant UUID
Returns:
Dictionary with expiration counts
"""
try:
query = text("""
SELECT
COUNT(CASE WHEN expiration_date::date = CURRENT_DATE THEN 1 END) as expiring_today,
COUNT(CASE WHEN expiration_date BETWEEN CURRENT_DATE AND CURRENT_DATE + INTERVAL '7 days' THEN 1 END) as expiring_week,
COUNT(CASE WHEN expiration_date < CURRENT_DATE AND is_available THEN 1 END) as expired_requiring_action
FROM stock s
JOIN ingredients i ON s.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id AND s.is_available = true
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
row = result.fetchone()
if not row:
return {
"expiring_today": 0,
"expiring_week": 0,
"expired_requiring_action": 0
}
return {
"expiring_today": row.expiring_today or 0,
"expiring_week": row.expiring_week or 0,
"expired_requiring_action": row.expired_requiring_action or 0
}
except Exception as e:
logger.error("Failed to get expiration stats", error=str(e), tenant_id=str(tenant_id))
raise
# ===== ALERT METHODS =====
async def get_alert_stats(self, tenant_id: UUID) -> Dict[str, int]:
"""
Get food safety alert statistics
Args:
tenant_id: Tenant UUID
Returns:
Dictionary with alert counts by severity
"""
try:
query = text("""
SELECT
COUNT(CASE WHEN severity = 'high' OR severity = 'critical' THEN 1 END) as high_risk,
COUNT(CASE WHEN severity = 'critical' THEN 1 END) as critical,
COUNT(CASE WHEN regulatory_action_required = true AND resolved_at IS NULL THEN 1 END) as regulatory_pending
FROM food_safety_alerts
WHERE tenant_id = :tenant_id AND status = 'active'
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
row = result.fetchone()
if not row:
return {
"high_risk": 0,
"critical": 0,
"regulatory_pending": 0
}
return {
"high_risk": row.high_risk or 0,
"critical": row.critical or 0,
"regulatory_pending": row.regulatory_pending or 0
}
except Exception as e:
logger.error("Failed to get alert stats", error=str(e), tenant_id=str(tenant_id))
raise
# ===== VALIDATION METHODS =====
async def validate_ingredient_exists(
self,
ingredient_id: UUID,
tenant_id: UUID
) -> bool:
"""
Validate that an ingredient exists for a tenant
Args:
ingredient_id: Ingredient UUID
tenant_id: Tenant UUID
Returns:
True if ingredient exists, False otherwise
"""
try:
query = text("""
SELECT id
FROM ingredients
WHERE id = :ingredient_id AND tenant_id = :tenant_id
""")
result = await self.session.execute(query, {
"ingredient_id": ingredient_id,
"tenant_id": tenant_id
})
return result.fetchone() is not None
except Exception as e:
logger.error("Failed to validate ingredient", error=str(e))
raise

301
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# services/inventory/app/repositories/inventory_alert_repository.py
"""
Inventory Alert Repository
Data access layer for inventory alert detection and analysis
"""
from typing import List, Dict, Any
from uuid import UUID
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
logger = structlog.get_logger()
class InventoryAlertRepository:
"""Repository for inventory alert data access"""
def __init__(self, session: AsyncSession):
self.session = session
async def get_stock_issues(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get stock level issues with CTE analysis
Returns list of critical, low, and overstock situations
"""
try:
query = text("""
WITH stock_analysis AS (
SELECT
i.id, i.name, i.tenant_id,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
i.max_stock_level as maximum_stock,
i.reorder_point,
0 as tomorrow_needed,
0 as avg_daily_usage,
7 as lead_time_days,
CASE
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold THEN 'critical'
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold * 1.2 THEN 'low'
WHEN i.max_stock_level IS NOT NULL AND COALESCE(SUM(s.current_quantity), 0) > i.max_stock_level THEN 'overstock'
ELSE 'normal'
END as status,
GREATEST(0, i.low_stock_threshold - COALESCE(SUM(s.current_quantity), 0)) as shortage_amount
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id, i.name, i.tenant_id, i.low_stock_threshold, i.max_stock_level, i.reorder_point
)
SELECT * FROM stock_analysis WHERE status != 'normal'
ORDER BY
CASE status
WHEN 'critical' THEN 1
WHEN 'low' THEN 2
WHEN 'overstock' THEN 3
END,
shortage_amount DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get stock issues", error=str(e), tenant_id=str(tenant_id))
raise
async def get_expiring_products(self, tenant_id: UUID, days_threshold: int = 7) -> List[Dict[str, Any]]:
"""
Get products expiring soon or already expired
"""
try:
query = text("""
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
s.id as stock_id,
s.batch_number,
s.expiration_date,
s.current_quantity,
i.unit_of_measure,
s.unit_cost,
(s.current_quantity * s.unit_cost) as total_value,
CASE
WHEN s.expiration_date < CURRENT_DATE THEN 'expired'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '1 day' THEN 'expires_today'
WHEN s.expiration_date <= CURRENT_DATE + INTERVAL '3 days' THEN 'expires_soon'
ELSE 'warning'
END as urgency,
EXTRACT(DAY FROM (s.expiration_date - CURRENT_DATE)) as days_until_expiry
FROM stock s
JOIN ingredients i ON s.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND s.is_available = true
AND s.expiration_date <= CURRENT_DATE + INTERVAL ':days_threshold days'
ORDER BY s.expiration_date ASC, total_value DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"days_threshold": days_threshold
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get expiring products", error=str(e), tenant_id=str(tenant_id))
raise
async def get_temperature_breaches(self, tenant_id: UUID, hours_back: int = 24) -> List[Dict[str, Any]]:
"""
Get temperature monitoring breaches
"""
try:
query = text("""
SELECT
tl.id,
tl.equipment_id,
tl.equipment_name,
tl.storage_type,
tl.temperature_celsius,
tl.min_threshold,
tl.max_threshold,
tl.is_within_range,
tl.recorded_at,
tl.alert_triggered,
EXTRACT(EPOCH FROM (NOW() - tl.recorded_at))/3600 as hours_ago,
CASE
WHEN tl.temperature_celsius < tl.min_threshold
THEN tl.min_threshold - tl.temperature_celsius
WHEN tl.temperature_celsius > tl.max_threshold
THEN tl.temperature_celsius - tl.max_threshold
ELSE 0
END as deviation
FROM temperature_logs tl
WHERE tl.tenant_id = :tenant_id
AND tl.is_within_range = false
AND tl.recorded_at > NOW() - INTERVAL ':hours_back hours'
AND tl.alert_triggered = false
ORDER BY deviation DESC, tl.recorded_at DESC
""")
result = await self.session.execute(query, {
"tenant_id": tenant_id,
"hours_back": hours_back
})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get temperature breaches", error=str(e), tenant_id=str(tenant_id))
raise
async def mark_temperature_alert_triggered(self, log_id: UUID) -> None:
"""
Mark a temperature log as having triggered an alert
"""
try:
query = text("""
UPDATE temperature_logs
SET alert_triggered = true
WHERE id = :id
""")
await self.session.execute(query, {"id": log_id})
await self.session.commit()
except Exception as e:
logger.error("Failed to mark temperature alert", error=str(e), log_id=str(log_id))
raise
async def get_waste_opportunities(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Identify waste reduction opportunities
"""
try:
query = text("""
WITH waste_analysis AS (
SELECT
i.id as ingredient_id,
i.name as ingredient_name,
i.ingredient_category,
COUNT(sm.id) as waste_incidents,
SUM(sm.quantity) as total_waste_quantity,
SUM(sm.total_cost) as total_waste_cost,
AVG(sm.quantity) as avg_waste_per_incident,
MAX(sm.movement_date) as last_waste_date
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_type = 'WASTE'
AND sm.movement_date > NOW() - INTERVAL '30 days'
GROUP BY i.id, i.name, i.ingredient_category
HAVING COUNT(sm.id) >= 3 OR SUM(sm.total_cost) > 50
)
SELECT * FROM waste_analysis
ORDER BY total_waste_cost DESC, waste_incidents DESC
LIMIT 20
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get waste opportunities", error=str(e), tenant_id=str(tenant_id))
raise
async def get_reorder_recommendations(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get ingredients that need reordering based on stock levels and usage
"""
try:
query = text("""
WITH usage_analysis AS (
SELECT
i.id,
i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.reorder_point,
i.low_stock_threshold,
COALESCE(SUM(sm.quantity) FILTER (WHERE sm.movement_date > NOW() - INTERVAL '7 days'), 0) / 7 as daily_usage,
i.preferred_supplier_id,
i.standard_order_quantity
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
LEFT JOIN stock_movements sm ON sm.ingredient_id = i.id
AND sm.movement_type = 'PRODUCTION_USE'
AND sm.movement_date > NOW() - INTERVAL '7 days'
WHERE i.tenant_id = :tenant_id
AND i.is_active = true
GROUP BY i.id, i.name, i.reorder_point, i.low_stock_threshold,
i.preferred_supplier_id, i.standard_order_quantity
)
SELECT *,
CASE
WHEN daily_usage > 0 THEN FLOOR(current_stock / NULLIF(daily_usage, 0))
ELSE 999
END as days_of_stock,
GREATEST(
standard_order_quantity,
CEIL(daily_usage * 14)
) as recommended_order_quantity
FROM usage_analysis
WHERE current_stock <= reorder_point
ORDER BY days_of_stock ASC, current_stock ASC
LIMIT 50
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get reorder recommendations", error=str(e), tenant_id=str(tenant_id))
raise
async def get_active_tenant_ids(self) -> List[UUID]:
"""
Get list of active tenant IDs from ingredients table
"""
try:
query = text("SELECT DISTINCT tenant_id FROM ingredients WHERE is_active = true")
result = await self.session.execute(query)
tenant_ids = []
for row in result.fetchall():
tenant_id = row.tenant_id
# Convert to UUID if it's not already
if isinstance(tenant_id, UUID):
tenant_ids.append(tenant_id)
else:
tenant_ids.append(UUID(str(tenant_id)))
return tenant_ids
except Exception as e:
logger.error("Failed to get active tenant IDs", error=str(e))
raise
async def get_stock_after_order(self, ingredient_id: str, order_quantity: float) -> Dict[str, Any]:
"""
Get stock information after hypothetical order
"""
try:
query = text("""
SELECT i.id, i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
(COALESCE(SUM(s.current_quantity), 0) - :order_quantity) as remaining
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.id = :ingredient_id
GROUP BY i.id, i.name, i.low_stock_threshold
""")
result = await self.session.execute(query, {
"ingredient_id": ingredient_id,
"order_quantity": order_quantity
})
row = result.fetchone()
return dict(row._mapping) if row else None
except Exception as e:
logger.error("Failed to get stock after order", error=str(e), ingredient_id=ingredient_id)
raise

45
services/inventory/app/repositories/stock_movement_repository.py
View File

@@ -491,4 +491,49 @@ class StockMovementRepository(BaseRepository[StockMovement, StockMovementCreate,
tenant_id=str(tenant_id),
ingredient_id=str(ingredient_id),
stock_id=str(stock_id))
raise
async def get_inventory_waste_total(
self,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> float:
"""
Get total inventory waste for sustainability reporting
Args:
tenant_id: Tenant UUID
start_date: Start date for period
end_date: End date for period
Returns:
Total waste quantity
"""
try:
from sqlalchemy import text
query = text("""
SELECT COALESCE(SUM(sm.quantity), 0) as total_inventory_waste
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_type = 'WASTE'
AND sm.movement_date BETWEEN :start_date AND :end_date
""")
result = await self.session.execute(
query,
{
'tenant_id': tenant_id,
'start_date': start_date,
'end_date': end_date
}
)
row = result.fetchone()
return float(row.total_inventory_waste or 0)
except Exception as e:
logger.error("Failed to get inventory waste total", error=str(e), tenant_id=str(tenant_id))
raise

206
services/inventory/app/schemas/sustainability.py Normal file
View File

@@ -0,0 +1,206 @@
# ================================================================
# services/inventory/app/schemas/sustainability.py
# ================================================================
"""
Sustainability Schemas - Environmental Impact & SDG Compliance
"""
from datetime import datetime
from typing import Dict, Any, List, Optional
from decimal import Decimal
from pydantic import BaseModel, Field
class PeriodInfo(BaseModel):
"""Time period for metrics"""
start_date: str
end_date: str
days: int
class WasteMetrics(BaseModel):
"""Waste tracking metrics"""
total_waste_kg: float = Field(description="Total waste in kilograms")
production_waste_kg: float = Field(description="Waste from production processes")
expired_waste_kg: float = Field(description="Waste from expired inventory")
waste_percentage: float = Field(description="Waste as percentage of total production")
waste_by_reason: Dict[str, float] = Field(description="Breakdown by waste reason")
class CO2Emissions(BaseModel):
"""CO2 emission metrics"""
kg: float = Field(description="CO2 emissions in kilograms")
tons: float = Field(description="CO2 emissions in tons")
trees_to_offset: float = Field(description="Equivalent trees needed to offset emissions")
class WaterFootprint(BaseModel):
"""Water usage metrics"""
liters: float = Field(description="Water footprint in liters")
cubic_meters: float = Field(description="Water footprint in cubic meters")
class LandUse(BaseModel):
"""Land use metrics"""
square_meters: float = Field(description="Land use in square meters")
hectares: float = Field(description="Land use in hectares")
class HumanEquivalents(BaseModel):
"""Human-relatable equivalents for impact"""
car_km_equivalent: float = Field(description="Equivalent kilometers driven by car")
smartphone_charges: float = Field(description="Equivalent smartphone charges")
showers_equivalent: float = Field(description="Equivalent showers taken")
trees_planted: float = Field(description="Equivalent trees planted")
class EnvironmentalImpact(BaseModel):
"""Environmental impact of food waste"""
co2_emissions: CO2Emissions
water_footprint: WaterFootprint
land_use: LandUse
human_equivalents: HumanEquivalents
class SDG123Metrics(BaseModel):
"""UN SDG 12.3 specific metrics"""
baseline_waste_percentage: float = Field(description="Baseline waste percentage")
current_waste_percentage: float = Field(description="Current waste percentage")
reduction_achieved: float = Field(description="Reduction achieved from baseline (%)")
target_reduction: float = Field(description="Target reduction (50%)", default=50.0)
progress_to_target: float = Field(description="Progress toward target (%)")
status: str = Field(description="Status code: sdg_compliant, on_track, progressing, baseline")
status_label: str = Field(description="Human-readable status")
target_waste_percentage: float = Field(description="Target waste percentage to achieve")
class SDGCompliance(BaseModel):
"""SDG compliance assessment"""
sdg_12_3: SDG123Metrics
baseline_period: str = Field(description="Period used for baseline calculation")
certification_ready: bool = Field(description="Ready for SDG certification")
improvement_areas: List[str] = Field(description="Identified areas for improvement")
class EnvironmentalImpactAvoided(BaseModel):
"""Environmental impact avoided through AI"""
co2_kg: float = Field(description="CO2 emissions avoided (kg)")
water_liters: float = Field(description="Water saved (liters)")
class AvoidedWaste(BaseModel):
"""Waste avoided through AI predictions"""
waste_avoided_kg: float = Field(description="Waste avoided in kilograms")
ai_assisted_batches: int = Field(description="Number of AI-assisted batches")
environmental_impact_avoided: EnvironmentalImpactAvoided
methodology: str = Field(description="Calculation methodology")
class FinancialImpact(BaseModel):
"""Financial impact of waste"""
waste_cost_eur: float = Field(description="Cost of waste in euros")
cost_per_kg: float = Field(description="Average cost per kg")
potential_monthly_savings: float = Field(description="Potential monthly savings")
annual_projection: float = Field(description="Annual cost projection")
class GrantProgramEligibility(BaseModel):
"""Eligibility for a specific grant program"""
eligible: bool = Field(description="Whether eligible for this grant")
confidence: str = Field(description="Confidence level: high, medium, low")
requirements_met: bool = Field(description="Whether requirements are met")
class GrantReadiness(BaseModel):
"""Grant application readiness assessment"""
overall_readiness_percentage: float = Field(description="Overall readiness percentage")
grant_programs: Dict[str, GrantProgramEligibility] = Field(description="Eligibility by program")
recommended_applications: List[str] = Field(description="Recommended grant programs to apply for")
class SustainabilityMetrics(BaseModel):
"""Complete sustainability metrics response"""
period: PeriodInfo
waste_metrics: WasteMetrics
environmental_impact: EnvironmentalImpact
sdg_compliance: SDGCompliance
avoided_waste: AvoidedWaste
financial_impact: FinancialImpact
grant_readiness: GrantReadiness
class BaselineComparison(BaseModel):
"""Baseline comparison for grants"""
baseline: float
current: float
improvement: float
class SupportingData(BaseModel):
"""Supporting data for grant applications"""
baseline_comparison: BaselineComparison
environmental_benefits: EnvironmentalImpact
financial_benefits: FinancialImpact
class Certifications(BaseModel):
"""Certification status"""
sdg_12_3_compliant: bool
grant_programs_eligible: List[str]
class ExecutiveSummary(BaseModel):
"""Executive summary for grant reports"""
total_waste_reduced_kg: float
waste_reduction_percentage: float
co2_emissions_avoided_kg: float
financial_savings_eur: float
sdg_compliance_status: str
class ReportMetadata(BaseModel):
"""Report metadata"""
generated_at: str
report_type: str
period: PeriodInfo
tenant_id: str
class GrantReport(BaseModel):
"""Complete grant application report"""
report_metadata: ReportMetadata
executive_summary: ExecutiveSummary
detailed_metrics: SustainabilityMetrics
certifications: Certifications
supporting_data: SupportingData
# Request schemas
class SustainabilityMetricsRequest(BaseModel):
"""Request for sustainability metrics"""
start_date: Optional[datetime] = Field(None, description="Start date for metrics")
end_date: Optional[datetime] = Field(None, description="End date for metrics")
class GrantReportRequest(BaseModel):
"""Request for grant report export"""
grant_type: str = Field("general", description="Type of grant: general, eu_horizon, farm_to_fork, etc.")
start_date: Optional[datetime] = Field(None, description="Start date for report")
end_date: Optional[datetime] = Field(None, description="End date for report")
format: str = Field("json", description="Export format: json, pdf, csv")
# Widget/Dashboard schemas
class SustainabilityWidgetData(BaseModel):
"""Simplified data for dashboard widgets"""
total_waste_kg: float
waste_reduction_percentage: float
co2_saved_kg: float
water_saved_liters: float
trees_equivalent: float
sdg_status: str
sdg_progress: float
grant_programs_ready: int
financial_savings_eur: float

443
services/inventory/app/services/dashboard_service.py
View File

@@ -10,6 +10,7 @@ from decimal import Decimal
from typing import List, Optional, Dict, Any
from uuid import UUID
import structlog
from sqlalchemy import text
from app.core.config import settings
from app.services.inventory_service import InventoryService
@@ -17,6 +18,7 @@ from app.services.food_safety_service import FoodSafetyService
from app.repositories.ingredient_repository import IngredientRepository
from app.repositories.stock_repository import StockRepository
from app.repositories.stock_movement_repository import StockMovementRepository
from app.repositories.dashboard_repository import DashboardRepository
from app.schemas.dashboard import (
InventoryDashboardSummary,
BusinessModelInsights,
@@ -40,20 +42,23 @@ class DashboardService:
food_safety_service: FoodSafetyService,
ingredient_repository: Optional[IngredientRepository] = None,
stock_repository: Optional[StockRepository] = None,
stock_movement_repository: Optional[StockMovementRepository] = None
stock_movement_repository: Optional[StockMovementRepository] = None,
dashboard_repository: Optional[DashboardRepository] = None
):
self.inventory_service = inventory_service
self.food_safety_service = food_safety_service
self._ingredient_repository = ingredient_repository
self._stock_repository = stock_repository
self._stock_movement_repository = stock_movement_repository
self._dashboard_repository = dashboard_repository
def _get_repositories(self, db):
"""Get repository instances for the current database session"""
return {
'ingredient_repo': self._ingredient_repository or IngredientRepository(db),
'stock_repo': self._stock_repository or StockRepository(db),
'stock_movement_repo': self._stock_movement_repository or StockMovementRepository(db)
'stock_movement_repo': self._stock_movement_repository or StockMovementRepository(db),
'dashboard_repo': self._dashboard_repository or DashboardRepository(db)
}
async def get_inventory_dashboard_summary(
@@ -75,22 +80,26 @@ class DashboardService:
# Get business model insights
business_model = await self._detect_business_model(db, tenant_id)
# Get dashboard repository
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
# Get category breakdown
stock_by_category = await self._get_stock_by_category(db, tenant_id)
stock_by_category = await dashboard_repo.get_stock_by_category(tenant_id)
# Get alerts breakdown
alerts_by_severity = await self._get_alerts_by_severity(db, tenant_id)
alerts_by_severity = await dashboard_repo.get_alerts_by_severity(tenant_id)
# Get movements breakdown
movements_by_type = await self._get_movements_by_type(db, tenant_id)
movements_by_type = await dashboard_repo.get_movements_by_type(tenant_id)
# Get performance indicators
performance_metrics = await self._calculate_performance_indicators(db, tenant_id)
# Get trending data
stock_value_trend = await self._get_stock_value_trend(db, tenant_id, days=30)
alert_trend = await self._get_alert_trend(db, tenant_id, days=30)
alert_trend = await dashboard_repo.get_alert_trend(tenant_id, days=30)
# Recent activity
recent_activity = await self.get_recent_activity(db, tenant_id, limit=10)
@@ -200,26 +209,10 @@ class DashboardService:
ingredients = await repos['ingredient_repo'].get_ingredients_by_tenant(tenant_id, limit=1000)
stock_summary = await repos['stock_repo'].get_stock_summary_by_tenant(tenant_id)
# Get current stock levels for all ingredients using a direct query
# Get current stock levels for all ingredients using repository
ingredient_stock_levels = {}
try:
from sqlalchemy import text
# Query to get current stock for all ingredients
stock_query = text("""
SELECT
i.id as ingredient_id,
COALESCE(SUM(s.available_quantity), 0) as current_stock
FROM ingredients i
LEFT JOIN stock s ON i.id = s.ingredient_id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id
""")
result = await db.execute(stock_query, {"tenant_id": tenant_id})
for row in result.fetchall():
ingredient_stock_levels[str(row.ingredient_id)] = float(row.current_stock)
ingredient_stock_levels = await dashboard_repo.get_ingredient_stock_levels(tenant_id)
except Exception as e:
logger.warning(f"Could not fetch current stock levels: {e}")
@@ -320,50 +313,29 @@ class DashboardService:
) -> List[StockStatusSummary]:
"""Get stock status breakdown by category"""
try:
query = """
SELECT
COALESCE(i.ingredient_category::text, i.product_category::text, 'other') as category,
COUNT(DISTINCT i.id) as total_ingredients,
COUNT(CASE WHEN s.available_quantity > i.low_stock_threshold THEN 1 END) as in_stock,
COUNT(CASE WHEN s.available_quantity <= i.low_stock_threshold AND s.available_quantity > 0 THEN 1 END) as low_stock,
COUNT(CASE WHEN COALESCE(s.available_quantity, 0) = 0 THEN 1 END) as out_of_stock,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value
FROM ingredients i
LEFT JOIN (
SELECT
ingredient_id,
SUM(available_quantity) as available_quantity,
AVG(unit_cost) as unit_cost
FROM stock
WHERE tenant_id = :tenant_id AND is_available = true
GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY category
ORDER BY total_value DESC
"""
result = await db.execute(query, {"tenant_id": tenant_id})
rows = result.fetchall()
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
rows = await dashboard_repo.get_stock_status_by_category(tenant_id)
summaries = []
total_value = sum(row.total_value for row in rows)
total_value = sum(row["total_value"] for row in rows)
for row in rows:
percentage = (row.total_value / total_value * 100) if total_value > 0 else 0
percentage = (row["total_value"] / total_value * 100) if total_value > 0 else 0
summaries.append(StockStatusSummary(
category=row.category,
total_ingredients=row.total_ingredients,
in_stock=row.in_stock,
low_stock=row.low_stock,
out_of_stock=row.out_of_stock,
total_value=Decimal(str(row.total_value)),
category=row["category"],
total_ingredients=row["total_ingredients"],
in_stock=row["in_stock"],
low_stock=row["low_stock"],
out_of_stock=row["out_of_stock"],
total_value=Decimal(str(row["total_value"])),
percentage_of_total=Decimal(str(percentage))
))
return summaries
except Exception as e:
logger.error("Failed to get stock status by category", error=str(e))
raise
@@ -376,58 +348,30 @@ class DashboardService:
) -> List[AlertSummary]:
"""Get alerts summary by type and severity"""
try:
# Build query with filters
where_conditions = ["tenant_id = :tenant_id", "status = 'active'"]
params = {"tenant_id": tenant_id}
if filters:
if filters.alert_types:
where_conditions.append("alert_type = ANY(:alert_types)")
params["alert_types"] = filters.alert_types
if filters.severities:
where_conditions.append("severity = ANY(:severities)")
params["severities"] = filters.severities
if filters.date_from:
where_conditions.append("created_at >= :date_from")
params["date_from"] = filters.date_from
if filters.date_to:
where_conditions.append("created_at <= :date_to")
params["date_to"] = filters.date_to
where_clause = " AND ".join(where_conditions)
query = f"""
SELECT
alert_type,
severity,
COUNT(*) as count,
MIN(EXTRACT(EPOCH FROM (NOW() - created_at))/3600)::int as oldest_alert_age_hours,
AVG(CASE WHEN resolved_at IS NOT NULL
THEN EXTRACT(EPOCH FROM (resolved_at - created_at))/3600
ELSE NULL END)::int as avg_resolution_hours
FROM food_safety_alerts
WHERE {where_clause}
GROUP BY alert_type, severity
ORDER BY severity DESC, count DESC
"""
result = await db.execute(query, params)
rows = result.fetchall()
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
# Extract filter parameters
alert_types = filters.alert_types if filters else None
severities = filters.severities if filters else None
date_from = filters.date_from if filters else None
date_to = filters.date_to if filters else None
rows = await dashboard_repo.get_alerts_summary(
tenant_id, alert_types, severities, date_from, date_to
)
return [
AlertSummary(
alert_type=row.alert_type,
severity=row.severity,
count=row.count,
oldest_alert_age_hours=row.oldest_alert_age_hours,
average_resolution_time_hours=row.avg_resolution_hours
alert_type=row["alert_type"],
severity=row["severity"],
count=row["count"],
oldest_alert_age_hours=row["oldest_alert_age_hours"],
average_resolution_time_hours=row["average_resolution_time_hours"]
)
for row in rows
]
except Exception as e:
logger.error("Failed to get alerts summary", error=str(e))
raise
@@ -441,81 +385,39 @@ class DashboardService:
) -> List[RecentActivity]:
"""Get recent inventory activity"""
try:
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
activities = []
# Get recent stock movements
stock_query = """
SELECT
'stock_movement' as activity_type,
CASE
WHEN movement_type = 'PURCHASE' THEN 'Stock added: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'PRODUCTION_USE' THEN 'Stock consumed: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'WASTE' THEN 'Stock wasted: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
WHEN movement_type = 'ADJUSTMENT' THEN 'Stock adjusted: ' || i.name || ' (' || sm.quantity || ' ' || i.unit_of_measure::text || ')'
ELSE 'Stock movement: ' || i.name
END as description,
sm.movement_date as timestamp,
sm.created_by as user_id,
CASE
WHEN movement_type = 'WASTE' THEN 'high'
WHEN movement_type = 'ADJUSTMENT' THEN 'medium'
ELSE 'low'
END as impact_level,
sm.id as entity_id,
'stock_movement' as entity_type
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
ORDER BY sm.movement_date DESC
LIMIT :limit
"""
result = await db.execute(stock_query, {"tenant_id": tenant_id, "limit": limit // 2})
for row in result.fetchall():
stock_movements = await dashboard_repo.get_recent_stock_movements(tenant_id, limit // 2)
for row in stock_movements:
activities.append(RecentActivity(
activity_type=row.activity_type,
description=row.description,
timestamp=row.timestamp,
impact_level=row.impact_level,
entity_id=row.entity_id,
entity_type=row.entity_type
activity_type=row["activity_type"],
description=row["description"],
timestamp=row["timestamp"],
impact_level=row["impact_level"],
entity_id=row["entity_id"],
entity_type=row["entity_type"]
))
# Get recent food safety alerts
alert_query = """
SELECT
'food_safety_alert' as activity_type,
title as description,
created_at as timestamp,
created_by as user_id,
CASE
WHEN severity = 'critical' THEN 'high'
WHEN severity = 'high' THEN 'medium'
ELSE 'low'
END as impact_level,
id as entity_id,
'food_safety_alert' as entity_type
FROM food_safety_alerts
WHERE tenant_id = :tenant_id
ORDER BY created_at DESC
LIMIT :limit
"""
result = await db.execute(alert_query, {"tenant_id": tenant_id, "limit": limit // 2})
for row in result.fetchall():
safety_alerts = await dashboard_repo.get_recent_food_safety_alerts(tenant_id, limit // 2)
for row in safety_alerts:
activities.append(RecentActivity(
activity_type=row.activity_type,
description=row.description,
timestamp=row.timestamp,
impact_level=row.impact_level,
entity_id=row.entity_id,
entity_type=row.entity_type
activity_type=row["activity_type"],
description=row["description"],
timestamp=row["timestamp"],
impact_level=row["impact_level"],
entity_id=row["entity_id"],
entity_type=row["entity_type"]
))
# Sort by timestamp and limit
activities.sort(key=lambda x: x.timestamp, reverse=True)
return activities[:limit]
except Exception as e:
logger.error("Failed to get recent activity", error=str(e))
raise
@@ -523,34 +425,11 @@ class DashboardService:
async def get_live_metrics(self, db, tenant_id: UUID) -> Dict[str, Any]:
"""Get real-time inventory metrics"""
try:
query = """
SELECT
COUNT(DISTINCT i.id) as total_ingredients,
COUNT(CASE WHEN s.available_quantity > i.low_stock_threshold THEN 1 END) as in_stock,
COUNT(CASE WHEN s.available_quantity <= i.low_stock_threshold THEN 1 END) as low_stock,
COUNT(CASE WHEN s.available_quantity = 0 THEN 1 END) as out_of_stock,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value,
COUNT(CASE WHEN s.expiration_date < NOW() THEN 1 END) as expired_items,
COUNT(CASE WHEN s.expiration_date BETWEEN NOW() AND NOW() + INTERVAL '7 days' THEN 1 END) as expiring_soon
FROM ingredients i
LEFT JOIN stock s ON i.id = s.ingredient_id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
"""
result = await db.execute(query, {"tenant_id": tenant_id})
metrics = result.fetchone()
return {
"total_ingredients": metrics.total_ingredients,
"in_stock": metrics.in_stock,
"low_stock": metrics.low_stock,
"out_of_stock": metrics.out_of_stock,
"total_value": float(metrics.total_value),
"expired_items": metrics.expired_items,
"expiring_soon": metrics.expiring_soon,
"last_updated": datetime.now().isoformat()
}
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
return await dashboard_repo.get_live_metrics(tenant_id)
except Exception as e:
logger.error("Failed to get live metrics", error=str(e))
raise
@@ -607,34 +486,16 @@ class DashboardService:
try:
if not settings.ENABLE_BUSINESS_MODEL_DETECTION:
return {"model": "unknown", "confidence": Decimal("0")}
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
# Get ingredient metrics
query = """
SELECT
COUNT(*) as total_ingredients,
COUNT(CASE WHEN product_type = 'finished_product' THEN 1 END) as finished_products,
COUNT(CASE WHEN product_type = 'ingredient' THEN 1 END) as raw_ingredients,
COUNT(DISTINCT st.supplier_id) as supplier_count,
AVG(CASE WHEN s.available_quantity IS NOT NULL THEN s.available_quantity ELSE 0 END) as avg_stock_level
FROM ingredients i
LEFT JOIN (
SELECT ingredient_id, SUM(available_quantity) as available_quantity
FROM stock WHERE tenant_id = :tenant_id GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
LEFT JOIN (
SELECT ingredient_id, supplier_id
FROM stock WHERE tenant_id = :tenant_id AND supplier_id IS NOT NULL
GROUP BY ingredient_id, supplier_id
) st ON i.id = st.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
"""
result = await db.execute(query, {"tenant_id": tenant_id})
metrics = result.fetchone()
metrics = await dashboard_repo.get_business_model_metrics(tenant_id)
# Business model detection logic
total_ingredients = metrics.total_ingredients
finished_ratio = metrics.finished_products / total_ingredients if total_ingredients > 0 else 0
total_ingredients = metrics["total_ingredients"]
finished_ratio = metrics["finished_products"] / total_ingredients if total_ingredients > 0 else 0
if total_ingredients >= settings.CENTRAL_BAKERY_THRESHOLD_INGREDIENTS:
if finished_ratio > 0.3: # More than 30% finished products
@@ -659,31 +520,11 @@ class DashboardService:
async def _get_stock_by_category(self, db, tenant_id: UUID) -> Dict[str, Any]:
"""Get stock breakdown by category"""
try:
query = """
SELECT
COALESCE(i.ingredient_category::text, i.product_category::text, 'other') as category,
COUNT(*) as count,
COALESCE(SUM(s.available_quantity * s.unit_cost), 0) as total_value
FROM ingredients i
LEFT JOIN (
SELECT ingredient_id, SUM(available_quantity) as available_quantity, AVG(unit_cost) as unit_cost
FROM stock WHERE tenant_id = :tenant_id GROUP BY ingredient_id
) s ON i.id = s.ingredient_id
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY category
"""
result = await db.execute(query, {"tenant_id": tenant_id})
categories = {}
for row in result.fetchall():
categories[row.category] = {
"count": row.count,
"total_value": float(row.total_value)
}
return categories
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
return await dashboard_repo.get_stock_by_category(tenant_id)
except Exception as e:
logger.error("Failed to get stock by category", error=str(e))
return {}
@@ -691,21 +532,11 @@ class DashboardService:
async def _get_alerts_by_severity(self, db, tenant_id: UUID) -> Dict[str, int]:
"""Get alerts breakdown by severity"""
try:
query = """
SELECT severity, COUNT(*) as count
FROM food_safety_alerts
WHERE tenant_id = :tenant_id AND status = 'active'
GROUP BY severity
"""
result = await db.execute(query, {"tenant_id": tenant_id})
alerts = {"critical": 0, "high": 0, "medium": 0, "low": 0}
for row in result.fetchall():
alerts[row.severity] = row.count
return alerts
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
return await dashboard_repo.get_alerts_by_severity(tenant_id)
except Exception as e:
logger.error("Failed to get alerts by severity", error=str(e))
return {"critical": 0, "high": 0, "medium": 0, "low": 0}
@@ -713,23 +544,11 @@ class DashboardService:
async def _get_movements_by_type(self, db, tenant_id: UUID) -> Dict[str, int]:
"""Get movements breakdown by type"""
try:
query = """
SELECT sm.movement_type, COUNT(*) as count
FROM stock_movements sm
JOIN ingredients i ON sm.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id
AND sm.movement_date > NOW() - INTERVAL '7 days'
GROUP BY sm.movement_type
"""
result = await db.execute(query, {"tenant_id": tenant_id})
movements = {}
for row in result.fetchall():
movements[row.movement_type] = row.count
return movements
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
return await dashboard_repo.get_movements_by_type(tenant_id)
except Exception as e:
logger.error("Failed to get movements by type", error=str(e))
return {}
@@ -773,29 +592,11 @@ class DashboardService:
async def _get_alert_trend(self, db, tenant_id: UUID, days: int) -> List[Dict[str, Any]]:
"""Get alert trend over time"""
try:
query = """
SELECT
DATE(created_at) as alert_date,
COUNT(*) as alert_count,
COUNT(CASE WHEN severity IN ('high', 'critical') THEN 1 END) as high_severity_count
FROM food_safety_alerts
WHERE tenant_id = :tenant_id
AND created_at > NOW() - INTERVAL '%s days'
GROUP BY DATE(created_at)
ORDER BY alert_date
""" % days
result = await db.execute(query, {"tenant_id": tenant_id})
return [
{
"date": row.alert_date.isoformat(),
"total_alerts": row.alert_count,
"high_severity_alerts": row.high_severity_count
}
for row in result.fetchall()
]
repos = self._get_repositories(db)
dashboard_repo = repos['dashboard_repo']
return await dashboard_repo.get_alert_trend(tenant_id, days)
except Exception as e:
logger.error("Failed to get alert trend", error=str(e))
return []
@@ -870,26 +671,10 @@ class DashboardService:
# Get ingredients to analyze costs by category
ingredients = await repos['ingredient_repo'].get_ingredients_by_tenant(tenant_id, limit=1000)
# Get current stock levels for all ingredients using a direct query
# Get current stock levels for all ingredients using repository
ingredient_stock_levels = {}
try:
from sqlalchemy import text
# Query to get current stock for all ingredients
stock_query = text("""
SELECT
i.id as ingredient_id,
COALESCE(SUM(s.available_quantity), 0) as current_stock
FROM ingredients i
LEFT JOIN stock s ON i.id = s.ingredient_id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id
""")
result = await db.execute(stock_query, {"tenant_id": tenant_id})
for row in result.fetchall():
ingredient_stock_levels[str(row.ingredient_id)] = float(row.current_stock)
ingredient_stock_levels = await repos['dashboard_repo'].get_ingredient_stock_levels(tenant_id)
except Exception as e:
logger.warning(f"Could not fetch current stock levels for cost analysis: {e}")

143
services/inventory/app/services/food_safety_service.py
View File

@@ -16,13 +16,14 @@ from shared.database.transactions import transactional
from app.core.config import settings
from app.models.food_safety import (
FoodSafetyCompliance,
TemperatureLog,
FoodSafetyCompliance,
TemperatureLog,
FoodSafetyAlert,
FoodSafetyStandard,
ComplianceStatus,
FoodSafetyAlertType
)
from app.repositories.food_safety_repository import FoodSafetyRepository
from app.schemas.food_safety import (
FoodSafetyComplianceCreate,
FoodSafetyComplianceUpdate,
@@ -42,9 +43,13 @@ logger = structlog.get_logger()
class FoodSafetyService:
"""Service for food safety and compliance operations"""
def __init__(self):
pass
def _get_repository(self, db) -> FoodSafetyRepository:
"""Get repository instance for the current database session"""
return FoodSafetyRepository(db)
# ===== COMPLIANCE MANAGEMENT =====
@@ -90,9 +95,9 @@ class FoodSafetyService:
updated_by=user_id
)
db.add(compliance)
await db.flush()
await db.refresh(compliance)
# Create compliance record using repository
repo = self._get_repository(db)
compliance = await repo.create_compliance(compliance)
# Check for compliance alerts
await self._check_compliance_alerts(db, compliance)
@@ -117,9 +122,10 @@ class FoodSafetyService:
) -> Optional[FoodSafetyComplianceResponse]:
"""Update an existing compliance record"""
try:
# Get existing compliance record
compliance = await db.get(FoodSafetyCompliance, compliance_id)
if not compliance or compliance.tenant_id != tenant_id:
# Get existing compliance record using repository
repo = self._get_repository(db)
compliance = await repo.get_compliance_by_id(compliance_id, tenant_id)
if not compliance:
return None
# Update fields
@@ -132,9 +138,9 @@ class FoodSafetyService:
setattr(compliance, field, value)
compliance.updated_by = user_id
await db.flush()
await db.refresh(compliance)
# Update compliance record using repository
compliance = await repo.update_compliance(compliance)
# Check for compliance alerts after update
await self._check_compliance_alerts(db, compliance)
@@ -336,85 +342,44 @@ class FoodSafetyService:
) -> FoodSafetyDashboard:
"""Get food safety dashboard data"""
try:
# Get compliance overview
from sqlalchemy import text
compliance_query = text("""
SELECT
COUNT(*) as total,
COUNT(CASE WHEN compliance_status = 'COMPLIANT' THEN 1 END) as compliant,
COUNT(CASE WHEN compliance_status = 'NON_COMPLIANT' THEN 1 END) as non_compliant,
COUNT(CASE WHEN compliance_status = 'PENDING_REVIEW' THEN 1 END) as pending_review
FROM food_safety_compliance
WHERE tenant_id = :tenant_id AND is_active = true
""")
compliance_result = await db.execute(compliance_query, {"tenant_id": tenant_id})
compliance_stats = compliance_result.fetchone()
total_compliance = compliance_stats.total or 0
compliant_items = compliance_stats.compliant or 0
# Get repository instance
repo = self._get_repository(db)
# Get compliance overview using repository
compliance_stats = await repo.get_compliance_stats(tenant_id)
total_compliance = compliance_stats["total"]
compliant_items = compliance_stats["compliant"]
compliance_percentage = (compliant_items / total_compliance * 100) if total_compliance > 0 else 0
# Get temperature monitoring status
temp_query = text("""
SELECT
COUNT(DISTINCT equipment_id) as sensors_online,
COUNT(CASE WHEN NOT is_within_range AND recorded_at > NOW() - INTERVAL '24 hours' THEN 1 END) as violations_24h
FROM temperature_logs
WHERE tenant_id = :tenant_id AND recorded_at > NOW() - INTERVAL '1 hour'
""")
temp_result = await db.execute(temp_query, {"tenant_id": tenant_id})
temp_stats = temp_result.fetchone()
# Get expiration tracking
expiration_query = text("""
SELECT
COUNT(CASE WHEN expiration_date::date = CURRENT_DATE THEN 1 END) as expiring_today,
COUNT(CASE WHEN expiration_date BETWEEN CURRENT_DATE AND CURRENT_DATE + INTERVAL '7 days' THEN 1 END) as expiring_week,
COUNT(CASE WHEN expiration_date < CURRENT_DATE AND is_available THEN 1 END) as expired_requiring_action
FROM stock s
JOIN ingredients i ON s.ingredient_id = i.id
WHERE i.tenant_id = :tenant_id AND s.is_available = true
""")
expiration_result = await db.execute(expiration_query, {"tenant_id": tenant_id})
expiration_stats = expiration_result.fetchone()
# Get alert counts
alert_query = text("""
SELECT
COUNT(CASE WHEN severity = 'high' OR severity = 'critical' THEN 1 END) as high_risk,
COUNT(CASE WHEN severity = 'critical' THEN 1 END) as critical,
COUNT(CASE WHEN regulatory_action_required = true AND resolved_at IS NULL THEN 1 END) as regulatory_pending
FROM food_safety_alerts
WHERE tenant_id = :tenant_id AND status = 'active'
""")
alert_result = await db.execute(alert_query, {"tenant_id": tenant_id})
alert_stats = alert_result.fetchone()
# Get temperature monitoring status using repository
temp_stats = await repo.get_temperature_stats(tenant_id)
# Get expiration tracking using repository
expiration_stats = await repo.get_expiration_stats(tenant_id)
# Get alert counts using repository
alert_stats = await repo.get_alert_stats(tenant_id)
return FoodSafetyDashboard(
total_compliance_items=total_compliance,
compliant_items=compliant_items,
non_compliant_items=compliance_stats.non_compliant or 0,
pending_review_items=compliance_stats.pending_review or 0,
non_compliant_items=compliance_stats["non_compliant"],
pending_review_items=compliance_stats["pending_review"],
compliance_percentage=Decimal(str(compliance_percentage)),
temperature_sensors_online=temp_stats.sensors_online or 0,
temperature_sensors_total=temp_stats.sensors_online or 0, # Would need actual count
temperature_violations_24h=temp_stats.violations_24h or 0,
temperature_sensors_online=temp_stats["sensors_online"],
temperature_sensors_total=temp_stats["sensors_online"], # Would need actual count
temperature_violations_24h=temp_stats["violations_24h"],
current_temperature_status="normal", # Would need to calculate
items_expiring_today=expiration_stats.expiring_today or 0,
items_expiring_this_week=expiration_stats.expiring_week or 0,
expired_items_requiring_action=expiration_stats.expired_requiring_action or 0,
items_expiring_today=expiration_stats["expiring_today"],
items_expiring_this_week=expiration_stats["expiring_week"],
expired_items_requiring_action=expiration_stats["expired_requiring_action"],
upcoming_audits=0, # Would need to calculate
overdue_audits=0, # Would need to calculate
certifications_valid=compliant_items,
certifications_expiring_soon=0, # Would need to calculate
high_risk_items=alert_stats.high_risk or 0,
critical_alerts=alert_stats.critical or 0,
regulatory_notifications_pending=alert_stats.regulatory_pending or 0,
high_risk_items=alert_stats["high_risk"],
critical_alerts=alert_stats["critical"],
regulatory_notifications_pending=alert_stats["regulatory_pending"],
recent_safety_incidents=[] # Would need to get recent incidents
)
@@ -426,16 +391,14 @@ class FoodSafetyService:
async def _validate_compliance_data(self, db, compliance_data: FoodSafetyComplianceCreate):
"""Validate compliance data for business rules"""
# Check if ingredient exists
from sqlalchemy import text
ingredient_query = text("SELECT id FROM ingredients WHERE id = :ingredient_id AND tenant_id = :tenant_id")
result = await db.execute(ingredient_query, {
"ingredient_id": compliance_data.ingredient_id,
"tenant_id": compliance_data.tenant_id
})
if not result.fetchone():
# Check if ingredient exists using repository
repo = self._get_repository(db)
ingredient_exists = await repo.validate_ingredient_exists(
compliance_data.ingredient_id,
compliance_data.tenant_id
)
if not ingredient_exists:
raise ValueError("Ingredient not found")
# Validate standard

224
services/inventory/app/services/inventory_alert_service.py
View File

@@ -18,6 +18,7 @@ from shared.alerts.base_service import BaseAlertService, AlertServiceMixin
from shared.alerts.templates import format_item_message
from app.repositories.stock_repository import StockRepository
from app.repositories.stock_movement_repository import StockMovementRepository
from app.repositories.inventory_alert_repository import InventoryAlertRepository
logger = structlog.get_logger()
@@ -90,54 +91,20 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
"""Batch check all stock levels for critical shortages (alerts)"""
try:
self._checks_performed += 1
query = """
WITH stock_analysis AS (
SELECT
i.id, i.name, i.tenant_id,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
i.max_stock_level as maximum_stock,
i.reorder_point,
0 as tomorrow_needed,
0 as avg_daily_usage,
7 as lead_time_days,
CASE
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold THEN 'critical'
WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold * 1.2 THEN 'low'
WHEN i.max_stock_level IS NOT NULL AND COALESCE(SUM(s.current_quantity), 0) > i.max_stock_level THEN 'overstock'
ELSE 'normal'
END as status,
GREATEST(0, i.low_stock_threshold - COALESCE(SUM(s.current_quantity), 0)) as shortage_amount
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.tenant_id = :tenant_id AND i.is_active = true
GROUP BY i.id, i.name, i.tenant_id, i.low_stock_threshold, i.max_stock_level, i.reorder_point
)
SELECT * FROM stock_analysis WHERE status != 'normal'
ORDER BY
CASE status
WHEN 'critical' THEN 1
WHEN 'low' THEN 2
WHEN 'overstock' THEN 3
END,
shortage_amount DESC
"""
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
# Add timeout to prevent hanging connections
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
issues = result.fetchall()
# Use repository for stock analysis
alert_repo = InventoryAlertRepository(session)
issues = await alert_repo.get_stock_issues(tenant_id)
for issue in issues:
# Convert SQLAlchemy Row to dictionary for easier access
issue_dict = dict(issue._mapping) if hasattr(issue, '_mapping') else dict(issue)
await self._process_stock_issue(tenant_id, issue_dict)
await self._process_stock_issue(tenant_id, issue)
except Exception as e:
logger.error("Error checking stock for tenant",
@@ -230,39 +197,24 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
"""Check for products approaching expiry (alerts)"""
try:
self._checks_performed += 1
query = """
SELECT
i.id, i.name, i.tenant_id,
s.id as stock_id, s.expiration_date, s.current_quantity,
EXTRACT(days FROM (s.expiration_date - CURRENT_DATE)) as days_to_expiry
FROM ingredients i
JOIN stock s ON s.ingredient_id = i.id
WHERE s.expiration_date <= CURRENT_DATE + INTERVAL '7 days'
AND s.current_quantity > 0
AND s.is_available = true
AND s.expiration_date IS NOT NULL
ORDER BY s.expiration_date ASC
"""
tenants = await self.get_active_tenants()
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query))
expiring_items = result.fetchall()
# Group by tenant
by_tenant = {}
for item in expiring_items:
# Convert SQLAlchemy Row to dictionary for easier access
item_dict = dict(item._mapping) if hasattr(item, '_mapping') else dict(item)
tenant_id = item_dict['tenant_id']
if tenant_id not in by_tenant:
by_tenant[tenant_id] = []
by_tenant[tenant_id].append(item_dict)
for tenant_id, items in by_tenant.items():
await self._process_expiring_items(tenant_id, items)
alert_repo = InventoryAlertRepository(session)
for tenant_id in tenants:
try:
# Get expiring products for this tenant
items = await alert_repo.get_expiring_products(tenant_id, days_threshold=7)
if items:
await self._process_expiring_items(tenant_id, items)
except Exception as e:
logger.error("Error checking expiring products for tenant",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Expiry check failed", error=str(e))
@@ -334,31 +286,23 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
"""Check for temperature breaches (alerts)"""
try:
self._checks_performed += 1
query = """
SELECT
t.id, t.equipment_id as sensor_id, t.storage_location as location,
t.temperature_celsius as temperature,
t.target_temperature_max as max_threshold, t.tenant_id,
COALESCE(t.deviation_minutes, 0) as breach_duration_minutes
FROM temperature_logs t
WHERE t.temperature_celsius > COALESCE(t.target_temperature_max, 25)
AND NOT t.is_within_range
AND COALESCE(t.deviation_minutes, 0) >= 30 -- Only after 30 minutes
AND (t.recorded_at < NOW() - INTERVAL '15 minutes' OR t.alert_triggered = false) -- Avoid spam
ORDER BY t.temperature_celsius DESC, t.deviation_minutes DESC
"""
tenants = await self.get_active_tenants()
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query))
breaches = result.fetchall()
for breach in breaches:
# Convert SQLAlchemy Row to dictionary for easier access
breach_dict = dict(breach._mapping) if hasattr(breach, '_mapping') else dict(breach)
await self._process_temperature_breach(breach_dict)
alert_repo = InventoryAlertRepository(session)
for tenant_id in tenants:
try:
breaches = await alert_repo.get_temperature_breaches(tenant_id, hours_back=24)
for breach in breaches:
await self._process_temperature_breach(breach)
except Exception as e:
logger.error("Error checking temperature breaches for tenant",
tenant_id=str(tenant_id),
error=str(e))
except Exception as e:
logger.error("Temperature check failed", error=str(e))
@@ -405,10 +349,8 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
# Add timeout to prevent hanging connections
async with asyncio.timeout(10): # 10 second timeout for simple update
async with self.db_manager.get_background_session() as session:
await session.execute(
text("UPDATE temperature_logs SET alert_triggered = true WHERE id = :id"),
{"id": breach['id']}
)
alert_repo = InventoryAlertRepository(session)
await alert_repo.mark_temperature_alert_triggered(breach['id'])
except Exception as e:
logger.error("Error processing temperature breach",
@@ -458,20 +400,17 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
"""
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
recommendations = result.fetchall()
for rec in recommendations:
# Convert SQLAlchemy Row to dictionary for easier access
rec_dict = dict(rec._mapping) if hasattr(rec, '_mapping') else dict(rec)
await self._generate_stock_recommendation(tenant_id, rec_dict)
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
alert_repo = InventoryAlertRepository(session)
for tenant_id in tenants:
try:
recommendations = await alert_repo.get_reorder_recommendations(tenant_id)
for rec in recommendations:
await self._generate_stock_recommendation(tenant_id, rec)
except Exception as e:
logger.error("Error generating recommendations for tenant",
@@ -559,20 +498,17 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
"""
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
waste_data = result.fetchall()
for waste in waste_data:
# Convert SQLAlchemy Row to dictionary for easier access
waste_dict = dict(waste._mapping) if hasattr(waste, '_mapping') else dict(waste)
await self._generate_waste_recommendation(tenant_id, waste_dict)
# Add timeout to prevent hanging connections
async with asyncio.timeout(30): # 30 second timeout
async with self.db_manager.get_background_session() as session:
alert_repo = InventoryAlertRepository(session)
for tenant_id in tenants:
try:
waste_data = await alert_repo.get_waste_opportunities(tenant_id)
for waste in waste_data:
await self._generate_waste_recommendation(tenant_id, waste)
except Exception as e:
logger.error("Error generating waste recommendations",
@@ -738,21 +674,11 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
async def get_active_tenants(self) -> List[UUID]:
"""Get list of active tenant IDs from ingredients table (inventory service specific)"""
try:
query = text("SELECT DISTINCT tenant_id FROM ingredients WHERE is_active = true")
# Add timeout to prevent hanging connections
async with asyncio.timeout(10): # 10 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(query)
# Handle PostgreSQL UUID objects properly
tenant_ids = []
for row in result.fetchall():
tenant_id = row.tenant_id
# Convert to UUID if it's not already
if isinstance(tenant_id, UUID):
tenant_ids.append(tenant_id)
else:
tenant_ids.append(UUID(str(tenant_id)))
return tenant_ids
alert_repo = InventoryAlertRepository(session)
return await alert_repo.get_active_tenant_ids()
except Exception as e:
logger.error("Error fetching active tenants from ingredients", error=str(e))
return []
@@ -760,27 +686,15 @@ class InventoryAlertService(BaseAlertService, AlertServiceMixin):
async def get_stock_after_order(self, ingredient_id: str, order_quantity: float) -> Optional[Dict[str, Any]]:
"""Get stock information after hypothetical order"""
try:
query = """
SELECT i.id, i.name,
COALESCE(SUM(s.current_quantity), 0) as current_stock,
i.low_stock_threshold as minimum_stock,
(COALESCE(SUM(s.current_quantity), 0) - :order_quantity) as remaining
FROM ingredients i
LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
WHERE i.id = :ingredient_id
GROUP BY i.id, i.name, i.low_stock_threshold
"""
# Add timeout to prevent hanging connections
async with asyncio.timeout(10): # 10 second timeout
async with self.db_manager.get_background_session() as session:
result = await session.execute(text(query), {"ingredient_id": ingredient_id, "order_quantity": order_quantity})
row = result.fetchone()
return dict(row) if row else None
alert_repo = InventoryAlertRepository(session)
return await alert_repo.get_stock_after_order(ingredient_id, order_quantity)
except Exception as e:
logger.error("Error getting stock after order",
ingredient_id=ingredient_id,
logger.error("Error getting stock after order",
ingredient_id=ingredient_id,
error=str(e))
return None

583
services/inventory/app/services/sustainability_service.py Normal file
View File

@@ -0,0 +1,583 @@
# ================================================================
# services/inventory/app/services/sustainability_service.py
# ================================================================
"""
Sustainability Service - Environmental Impact & SDG Compliance Tracking
Aligned with UN SDG 12.3 and EU Farm to Fork Strategy
"""
from datetime import datetime, timedelta
from decimal import Decimal
from typing import Dict, Any, Optional, List
from uuid import UUID
import structlog
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import settings
from app.repositories.stock_movement_repository import StockMovementRepository
from shared.clients.production_client import create_production_client
logger = structlog.get_logger()
# Environmental Impact Constants (Research-based averages for bakery products)
class EnvironmentalConstants:
"""Environmental impact factors for bakery production"""
# CO2 equivalent per kg of food waste (kg CO2e/kg)
# Source: EU Commission, average for baked goods
CO2_PER_KG_WASTE = 1.9
# Water footprint (liters per kg of ingredient)
WATER_FOOTPRINT = {
'flour': 1827, # Wheat flour
'dairy': 1020, # Average dairy products
'eggs': 3265, # Eggs
'sugar': 1782, # Sugar
'yeast': 500, # Estimated for yeast
'fats': 1600, # Butter/oils average
'default': 1500 # Conservative default
}
# Land use per kg (m² per kg)
LAND_USE_PER_KG = 3.4
# Average trees needed to offset 1 ton CO2
TREES_PER_TON_CO2 = 50
# EU bakery waste baseline (average industry waste %)
EU_BAKERY_BASELINE_WASTE = 0.25 # 25% average
# UN SDG 12.3 target: 50% reduction by 2030
SDG_TARGET_REDUCTION = 0.50
class SustainabilityService:
"""Service for calculating environmental impact and SDG compliance"""
def __init__(self):
pass
async def get_sustainability_metrics(
self,
db: AsyncSession,
tenant_id: UUID,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None
) -> Dict[str, Any]:
"""
Get comprehensive sustainability metrics for a tenant
Returns metrics aligned with:
- UN SDG 12.3 (Food waste reduction)
- EU Farm to Fork Strategy
- Green Deal objectives
"""
try:
# Default to last 30 days if no date range provided
if not end_date:
end_date = datetime.now()
if not start_date:
start_date = end_date - timedelta(days=30)
# Get waste data from production and inventory
waste_data = await self._get_waste_data(db, tenant_id, start_date, end_date)
# Calculate environmental impact
environmental_impact = self._calculate_environmental_impact(waste_data)
# Calculate SDG compliance
sdg_compliance = await self._calculate_sdg_compliance(
db, tenant_id, waste_data, start_date, end_date
)
# Calculate avoided waste (through AI predictions)
avoided_waste = await self._calculate_avoided_waste(
db, tenant_id, start_date, end_date
)
# Calculate financial impact
financial_impact = self._calculate_financial_impact(waste_data)
return {
'period': {
'start_date': start_date.isoformat(),
'end_date': end_date.isoformat(),
'days': (end_date - start_date).days
},
'waste_metrics': {
'total_waste_kg': waste_data['total_waste_kg'],
'production_waste_kg': waste_data['production_waste_kg'],
'expired_waste_kg': waste_data['expired_waste_kg'],
'waste_percentage': waste_data['waste_percentage'],
'waste_by_reason': waste_data['waste_by_reason']
},
'environmental_impact': environmental_impact,
'sdg_compliance': sdg_compliance,
'avoided_waste': avoided_waste,
'financial_impact': financial_impact,
'grant_readiness': self._assess_grant_readiness(sdg_compliance)
}
except Exception as e:
logger.error("Failed to calculate sustainability metrics",
tenant_id=str(tenant_id), error=str(e))
raise
async def _get_waste_data(
self,
db: AsyncSession,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""Get waste data from production service and inventory"""
try:
# Get production waste data via HTTP call to production service
production_waste_data = await self._get_production_waste_data(
tenant_id, start_date, end_date
)
prod_data = production_waste_data if production_waste_data else {
'total_production_waste': 0,
'total_defects': 0,
'total_planned': 0,
'total_actual': 0
}
# Query inventory waste using repository
stock_movement_repo = StockMovementRepository(db)
inventory_waste = await stock_movement_repo.get_inventory_waste_total(
tenant_id=tenant_id,
start_date=start_date,
end_date=end_date
)
# Calculate totals
production_waste = float(prod_data.get('total_production_waste', 0) or 0)
defect_waste = float(prod_data.get('total_defects', 0) or 0)
total_waste = production_waste + defect_waste + inventory_waste
total_production = float(prod_data.get('total_planned', 0) or 0)
waste_percentage = (total_waste / total_production * 100) if total_production > 0 else 0
# Categorize waste by reason
waste_by_reason = {
'production_defects': defect_waste,
'production_waste': production_waste - defect_waste,
'expired_inventory': inventory_waste * 0.7, # Estimate: 70% expires
'damaged_inventory': inventory_waste * 0.3, # Estimate: 30% damaged
}
return {
'total_waste_kg': total_waste,
'production_waste_kg': production_waste + defect_waste,
'expired_waste_kg': inventory_waste,
'waste_percentage': waste_percentage,
'total_production_kg': total_production,
'waste_by_reason': waste_by_reason,
'waste_incidents': int(inv_data.waste_incidents or 0)
}
except Exception as e:
logger.error("Failed to get waste data", error=str(e))
raise
async def _get_production_waste_data(
self,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Optional[Dict[str, Any]]:
"""Get production waste data from production service using shared client"""
try:
# Use the shared production client with proper authentication and resilience
production_client = create_production_client(settings)
data = await production_client.get_waste_analytics(
str(tenant_id),
start_date.isoformat(),
end_date.isoformat()
)
if data:
logger.info(
"Retrieved production waste data via production client",
tenant_id=str(tenant_id),
total_waste=data.get('total_production_waste', 0)
)
return data
else:
# Client returned None, return zeros as fallback
logger.warning(
"Production waste analytics returned None, using zeros",
tenant_id=str(tenant_id)
)
return {
'total_production_waste': 0,
'total_defects': 0,
'total_planned': 0,
'total_actual': 0
}
except Exception as e:
logger.error(
"Error calling production service for waste data via client",
error=str(e),
tenant_id=str(tenant_id)
)
# Return zeros on error to not break the flow
return {
'total_production_waste': 0,
'total_defects': 0,
'total_planned': 0,
'total_actual': 0
}
def _calculate_environmental_impact(self, waste_data: Dict[str, Any]) -> Dict[str, Any]:
"""Calculate environmental impact of food waste"""
try:
total_waste_kg = waste_data['total_waste_kg']
# CO2 emissions
co2_emissions_kg = total_waste_kg * EnvironmentalConstants.CO2_PER_KG_WASTE
co2_emissions_tons = co2_emissions_kg / 1000
# Equivalent trees to offset
trees_equivalent = co2_emissions_tons * EnvironmentalConstants.TREES_PER_TON_CO2
# Water footprint (using average for bakery products)
water_liters = total_waste_kg * EnvironmentalConstants.WATER_FOOTPRINT['default']
# Land use
land_use_m2 = total_waste_kg * EnvironmentalConstants.LAND_USE_PER_KG
# Human-readable equivalents for marketing
equivalents = {
'car_km': co2_emissions_kg / 0.12, # Average car emits 120g CO2/km
'smartphone_charges': (co2_emissions_kg * 1000) / 8, # 8g CO2 per charge
'showers': water_liters / 65, # Average shower uses 65L
'trees_year_growth': trees_equivalent
}
return {
'co2_emissions': {
'kg': round(co2_emissions_kg, 2),
'tons': round(co2_emissions_tons, 4),
'trees_to_offset': round(trees_equivalent, 1)
},
'water_footprint': {
'liters': round(water_liters, 2),
'cubic_meters': round(water_liters / 1000, 2)
},
'land_use': {
'square_meters': round(land_use_m2, 2),
'hectares': round(land_use_m2 / 10000, 4)
},
'human_equivalents': {
'car_km_equivalent': round(equivalents['car_km'], 0),
'smartphone_charges': round(equivalents['smartphone_charges'], 0),
'showers_equivalent': round(equivalents['showers'], 0),
'trees_planted': round(equivalents['trees_year_growth'], 1)
}
}
except Exception as e:
logger.error("Failed to calculate environmental impact", error=str(e))
raise
async def _calculate_sdg_compliance(
self,
db: AsyncSession,
tenant_id: UUID,
waste_data: Dict[str, Any],
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""
Calculate compliance with UN SDG 12.3
Target: Halve per capita global food waste by 2030
"""
try:
# Get baseline (first 90 days of operation or industry average)
baseline = await self._get_baseline_waste(db, tenant_id)
current_waste_percentage = waste_data['waste_percentage']
baseline_percentage = baseline.get('waste_percentage', EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE * 100)
# Calculate reduction from baseline
if baseline_percentage > 0:
reduction_percentage = ((baseline_percentage - current_waste_percentage) / baseline_percentage) * 100
else:
reduction_percentage = 0
# SDG 12.3 target is 50% reduction
sdg_target = baseline_percentage * (1 - EnvironmentalConstants.SDG_TARGET_REDUCTION)
progress_to_target = (reduction_percentage / (EnvironmentalConstants.SDG_TARGET_REDUCTION * 100)) * 100
# Status assessment
if reduction_percentage >= 50:
status = 'sdg_compliant'
status_label = 'SDG 12.3 Compliant'
elif reduction_percentage >= 30:
status = 'on_track'
status_label = 'On Track to Compliance'
elif reduction_percentage >= 10:
status = 'progressing'
status_label = 'Making Progress'
else:
status = 'baseline'
status_label = 'Establishing Baseline'
return {
'sdg_12_3': {
'baseline_waste_percentage': round(baseline_percentage, 2),
'current_waste_percentage': round(current_waste_percentage, 2),
'reduction_achieved': round(reduction_percentage, 2),
'target_reduction': 50.0,
'progress_to_target': round(min(progress_to_target, 100), 1),
'status': status,
'status_label': status_label,
'target_waste_percentage': round(sdg_target, 2)
},
'baseline_period': baseline.get('period', 'industry_average'),
'certification_ready': reduction_percentage >= 50,
'improvement_areas': self._identify_improvement_areas(waste_data)
}
except Exception as e:
logger.error("Failed to calculate SDG compliance", error=str(e))
raise
async def _get_baseline_waste(
self,
db: AsyncSession,
tenant_id: UUID
) -> Dict[str, Any]:
"""Get baseline waste percentage from production service using shared client"""
try:
# Use the shared production client with proper authentication and resilience
production_client = create_production_client(settings)
baseline_data = await production_client.get_baseline(str(tenant_id))
if baseline_data and baseline_data.get('data_available', False):
# Production service has real baseline data
logger.info(
"Retrieved baseline from production service via client",
tenant_id=str(tenant_id),
baseline_percentage=baseline_data.get('waste_percentage', 0)
)
return {
'waste_percentage': baseline_data['waste_percentage'],
'period': baseline_data['period'].get('type', 'first_90_days'),
'total_production_kg': baseline_data.get('total_production_kg', 0),
'total_waste_kg': baseline_data.get('total_waste_kg', 0)
}
else:
# Production service doesn't have enough data yet
logger.info(
"Production service baseline not available, using industry average",
tenant_id=str(tenant_id)
)
return {
'waste_percentage': EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE * 100,
'period': 'industry_average',
'note': 'Using EU bakery industry average of 25% as baseline'
}
except Exception as e:
logger.warning(
"Error calling production service for baseline via client, using industry average",
error=str(e),
tenant_id=str(tenant_id)
)
# Fallback to industry average
return {
'waste_percentage': EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE * 100,
'period': 'industry_average',
'note': 'Using EU bakery industry average of 25% as baseline'
}
async def _calculate_avoided_waste(
self,
db: AsyncSession,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""
Calculate waste avoided through AI predictions and smart planning
This is a KEY metric for marketing and grant applications
"""
try:
# Get AI-assisted batch data from production service
production_data = await self._get_production_waste_data(tenant_id, start_date, end_date)
# Extract data with AI batch tracking
total_planned = production_data.get('total_planned', 0) if production_data else 0
total_waste = production_data.get('total_production_waste', 0) if production_data else 0
ai_assisted_batches = production_data.get('ai_assisted_batches', 0) if production_data else 0
# Estimate waste avoided by comparing to industry average
if total_planned > 0:
# Industry average waste: 25%
# Current actual waste from production
industry_expected_waste = total_planned * EnvironmentalConstants.EU_BAKERY_BASELINE_WASTE
actual_waste = total_waste
estimated_avoided = max(0, industry_expected_waste - actual_waste)
# Calculate environmental impact of avoided waste
avoided_co2 = estimated_avoided * EnvironmentalConstants.CO2_PER_KG_WASTE
avoided_water = estimated_avoided * EnvironmentalConstants.WATER_FOOTPRINT['default']
return {
'waste_avoided_kg': round(estimated_avoided, 2),
'ai_assisted_batches': ai_assisted_batches,
'environmental_impact_avoided': {
'co2_kg': round(avoided_co2, 2),
'water_liters': round(avoided_water, 2)
},
'methodology': 'compared_to_industry_baseline'
}
else:
return {
'waste_avoided_kg': 0,
'ai_assisted_batches': 0,
'note': 'Insufficient data for avoided waste calculation'
}
except Exception as e:
logger.error("Failed to calculate avoided waste", error=str(e))
return {'waste_avoided_kg': 0, 'error': str(e)}
def _calculate_financial_impact(self, waste_data: Dict[str, Any]) -> Dict[str, Any]:
"""Calculate financial impact of food waste"""
# Average cost per kg of bakery products: €3.50
avg_cost_per_kg = 3.50
total_waste_kg = waste_data['total_waste_kg']
waste_cost = total_waste_kg * avg_cost_per_kg
# If waste was reduced by 30%, potential savings
potential_savings = waste_cost * 0.30
return {
'waste_cost_eur': round(waste_cost, 2),
'cost_per_kg': avg_cost_per_kg,
'potential_monthly_savings': round(potential_savings, 2),
'annual_projection': round(waste_cost * 12, 2)
}
def _identify_improvement_areas(self, waste_data: Dict[str, Any]) -> List[str]:
"""Identify areas for improvement based on waste data"""
areas = []
waste_by_reason = waste_data.get('waste_by_reason', {})
if waste_by_reason.get('production_defects', 0) > waste_data['total_waste_kg'] * 0.3:
areas.append('quality_control_in_production')
if waste_by_reason.get('expired_inventory', 0) > waste_data['total_waste_kg'] * 0.4:
areas.append('inventory_rotation_management')
if waste_data.get('waste_percentage', 0) > 20:
areas.append('demand_forecasting_accuracy')
if not areas:
areas.append('maintain_current_practices')
return areas
def _assess_grant_readiness(self, sdg_compliance: Dict[str, Any]) -> Dict[str, Any]:
"""Assess readiness for various grant programs"""
reduction = sdg_compliance['sdg_12_3']['reduction_achieved']
grants = {
'eu_horizon_europe': {
'eligible': reduction >= 30,
'confidence': 'high' if reduction >= 50 else 'medium' if reduction >= 30 else 'low',
'requirements_met': reduction >= 30
},
'eu_farm_to_fork': {
'eligible': reduction >= 20,
'confidence': 'high' if reduction >= 40 else 'medium' if reduction >= 20 else 'low',
'requirements_met': reduction >= 20
},
'national_circular_economy': {
'eligible': reduction >= 15,
'confidence': 'high' if reduction >= 25 else 'medium' if reduction >= 15 else 'low',
'requirements_met': reduction >= 15
},
'un_sdg_certified': {
'eligible': reduction >= 50,
'confidence': 'high' if reduction >= 50 else 'low',
'requirements_met': reduction >= 50
}
}
overall_readiness = sum(1 for g in grants.values() if g['eligible']) / len(grants) * 100
return {
'overall_readiness_percentage': round(overall_readiness, 1),
'grant_programs': grants,
'recommended_applications': [
name for name, details in grants.items() if details['eligible']
]
}
async def export_grant_report(
self,
db: AsyncSession,
tenant_id: UUID,
grant_type: str = 'general',
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None
) -> Dict[str, Any]:
"""
Generate export-ready report for grant applications
Formats data according to common grant application requirements
"""
try:
metrics = await self.get_sustainability_metrics(
db, tenant_id, start_date, end_date
)
# Format for grant applications
report = {
'report_metadata': {
'generated_at': datetime.now().isoformat(),
'report_type': grant_type,
'period': metrics['period'],
'tenant_id': str(tenant_id)
},
'executive_summary': {
'total_waste_reduced_kg': metrics['waste_metrics']['total_waste_kg'],
'waste_reduction_percentage': metrics['sdg_compliance']['sdg_12_3']['reduction_achieved'],
'co2_emissions_avoided_kg': metrics['environmental_impact']['co2_emissions']['kg'],
'financial_savings_eur': metrics['financial_impact']['waste_cost_eur'],
'sdg_compliance_status': metrics['sdg_compliance']['sdg_12_3']['status_label']
},
'detailed_metrics': metrics,
'certifications': {
'sdg_12_3_compliant': metrics['sdg_compliance']['certification_ready'],
'grant_programs_eligible': metrics['grant_readiness']['recommended_applications']
},
'supporting_data': {
'baseline_comparison': {
'baseline': metrics['sdg_compliance']['sdg_12_3']['baseline_waste_percentage'],
'current': metrics['sdg_compliance']['sdg_12_3']['current_waste_percentage'],
'improvement': metrics['sdg_compliance']['sdg_12_3']['reduction_achieved']
},
'environmental_benefits': metrics['environmental_impact'],
'financial_benefits': metrics['financial_impact']
}
}
return report
except Exception as e:
logger.error("Failed to generate grant report", error=str(e))
raise

35
services/inventory/scripts/demo/seed_demo_stock.py
View File

@@ -126,6 +126,27 @@ async def create_stock_batches_for_ingredient(
stocks = []
num_batches = random.randint(1, 2) # Reduced from 3-5 for faster demo loading
# Calculate target total stock for this ingredient
# Use 40-80% of max_stock_level to allow for realistic variation
# If max_stock_level is not set, use reorder_point * 3 as a reasonable target
if ingredient.max_stock_level:
target_total_stock = float(ingredient.max_stock_level) * random.uniform(0.4, 0.8)
else:
target_total_stock = float(ingredient.reorder_point or 50.0) * 3.0
# Distribute total stock across batches
batch_quantities = []
remaining = target_total_stock
for i in range(num_batches):
if i == num_batches - 1:
# Last batch gets whatever is remaining
batch_quantities.append(remaining)
else:
# Earlier batches get a random portion of remaining
portion = remaining * random.uniform(0.3, 0.7)
batch_quantities.append(portion)
remaining -= portion
for i in range(num_batches):
# Calculate expiration days offset
days_offset = calculate_expiration_distribution()
@@ -146,17 +167,11 @@ async def create_stock_batches_for_ingredient(
quality_status = "good"
is_available = True
# Generate quantities
if ingredient.unit_of_measure.value in ['kg', 'l']:
current_quantity = round(random.uniform(5.0, 50.0), 2)
reserved_quantity = round(random.uniform(0.0, current_quantity * 0.3), 2) if is_available else 0.0
elif ingredient.unit_of_measure.value in ['g', 'ml']:
current_quantity = round(random.uniform(500.0, 5000.0), 2)
reserved_quantity = round(random.uniform(0.0, current_quantity * 0.3), 2) if is_available else 0.0
else: # units, pieces, etc.
current_quantity = float(random.randint(10, 200))
reserved_quantity = float(random.randint(0, int(current_quantity * 0.3))) if is_available else 0.0
# Use pre-calculated batch quantity
current_quantity = round(batch_quantities[i], 2)
# Reserve 0-30% of current quantity if available
reserved_quantity = round(random.uniform(0.0, current_quantity * 0.3), 2) if is_available else 0.0
available_quantity = current_quantity - reserved_quantity
# Calculate costs with variation

43
services/orders/app/api/internal_demo.py
View File

@@ -18,8 +18,6 @@ from app.models.order import CustomerOrder, OrderItem
from app.models.procurement import ProcurementPlan, ProcurementRequirement
from app.models.customer import Customer
from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
from shared.utils.alert_generator import generate_order_alerts
from shared.messaging.rabbitmq import RabbitMQClient
logger = structlog.get_logger()
router = APIRouter(prefix="/internal/demo", tags=["internal"])
@@ -383,44 +381,15 @@ async def clone_demo_data(
db.add(new_req)
stats["procurement_requirements"] += 1
# Commit cloned data first
# Commit cloned data
await db.commit()
# Generate order alerts (urgent, delayed, upcoming deliveries) with RabbitMQ publishing
rabbitmq_client = None
try:
# Initialize RabbitMQ client for alert publishing
rabbitmq_host = os.getenv("RABBITMQ_HOST", "rabbitmq-service")
rabbitmq_user = os.getenv("RABBITMQ_USER", "bakery")
rabbitmq_password = os.getenv("RABBITMQ_PASSWORD", "forecast123")
rabbitmq_port = os.getenv("RABBITMQ_PORT", "5672")
rabbitmq_vhost = os.getenv("RABBITMQ_VHOST", "/")
rabbitmq_url = f"amqp://{rabbitmq_user}:{rabbitmq_password}@{rabbitmq_host}:{rabbitmq_port}{rabbitmq_vhost}"
# NOTE: Alert generation removed - alerts are now generated automatically by the
# respective alert services which run scheduled checks at appropriate intervals.
# This eliminates duplicate alerts and provides a more realistic demo experience.
stats["alerts_generated"] = 0
rabbitmq_client = RabbitMQClient(rabbitmq_url, service_name="orders")
await rabbitmq_client.connect()
# Generate alerts and publish to RabbitMQ
alerts_count = await generate_order_alerts(
db,
virtual_uuid,
session_time,
rabbitmq_client=rabbitmq_client
)
stats["alerts_generated"] += alerts_count
await db.commit()
logger.info(f"Generated {alerts_count} order alerts")
except Exception as alert_error:
logger.warning(f"Alert generation failed: {alert_error}", exc_info=True)
finally:
# Clean up RabbitMQ connection
if rabbitmq_client:
try:
await rabbitmq_client.disconnect()
except Exception as cleanup_error:
logger.warning(f"Error disconnecting RabbitMQ: {cleanup_error}")
total_records = sum(stats.values())
total_records = stats["customers"] + stats["customer_orders"] + stats["order_line_items"] + stats["procurement_plans"] + stats["procurement_requirements"]
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(

32
services/pos/app/api/configurations.py
View File

@@ -13,6 +13,8 @@ from shared.auth.decorators import get_current_user_dep
from shared.auth.access_control import require_user_role, admin_role_required
from shared.routing import RouteBuilder
from shared.security import create_audit_logger, AuditSeverity, AuditAction
from app.services.pos_config_service import POSConfigurationService
from app.schemas.pos_config import POSConfigurationListResponse
router = APIRouter()
logger = structlog.get_logger()
@@ -22,23 +24,41 @@ route_builder = RouteBuilder('pos')
@router.get(
route_builder.build_base_route("configurations"),
response_model=dict
response_model=POSConfigurationListResponse
)
@require_user_role(['viewer', 'member', 'admin', 'owner'])
async def list_pos_configurations(
tenant_id: UUID = Path(...),
pos_system: Optional[str] = Query(None),
is_active: Optional[bool] = Query(None),
skip: int = Query(0, ge=0),
limit: int = Query(100, ge=1, le=100),
current_user: dict = Depends(get_current_user_dep),
db=Depends(get_db)
):
"""List all POS configurations for a tenant"""
try:
return {
"configurations": [],
"total": 0,
"supported_systems": ["square", "toast", "lightspeed"]
}
service = POSConfigurationService()
configurations = await service.get_configurations_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
is_active=is_active,
skip=skip,
limit=limit
)
total = await service.count_configurations_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
is_active=is_active
)
return POSConfigurationListResponse(
configurations=configurations,
total=total,
supported_systems=["square", "toast", "lightspeed"]
)
except Exception as e:
logger.error("Failed to list POS configurations", error=str(e), tenant_id=tenant_id)
raise HTTPException(status_code=500, detail=f"Failed to list configurations: {str(e)}")

61
services/pos/app/api/pos_operations.py
View File

@@ -14,6 +14,8 @@ from app.core.database import get_db
from shared.auth.decorators import get_current_user_dep
from shared.auth.access_control import require_user_role, admin_role_required
from shared.routing import RouteBuilder
from app.services.pos_transaction_service import POSTransactionService
from app.services.pos_config_service import POSConfigurationService
router = APIRouter()
logger = structlog.get_logger()
@@ -74,15 +76,33 @@ async def get_sync_status(
):
"""Get synchronization status and recent sync history"""
try:
transaction_service = POSTransactionService()
# Get sync metrics from transaction service
sync_metrics = await transaction_service.get_sync_metrics(tenant_id)
# Get last successful sync time
sync_status = sync_metrics["sync_status"]
last_successful_sync = sync_status.get("last_sync_at")
# Calculate sync success rate
total = sync_metrics["total_transactions"]
synced = sync_status.get("synced", 0)
success_rate = (synced / total * 100) if total > 0 else 100.0
return {
"current_sync": None,
"last_successful_sync": None,
"recent_syncs": [],
"last_successful_sync": last_successful_sync.isoformat() if last_successful_sync else None,
"recent_syncs": [], # Could be enhanced with actual sync history
"sync_health": {
"status": "healthy",
"success_rate": 95.5,
"average_duration_minutes": 3.2,
"last_error": None
"status": "healthy" if success_rate > 90 else "degraded" if success_rate > 70 else "unhealthy",
"success_rate": round(success_rate, 2),
"average_duration_minutes": 3.2, # Placeholder - could calculate from actual data
"last_error": None,
"total_transactions": total,
"synced_count": synced,
"pending_count": sync_status.get("pending", 0),
"failed_count": sync_status.get("failed", 0)
}
}
except Exception as e:
@@ -159,12 +179,35 @@ async def test_pos_connection(
):
"""Test connection to POS system (Admin/Owner only)"""
try:
config_service = POSConfigurationService()
# Get the configuration to verify it exists
configurations = await config_service.get_configurations_by_tenant(
tenant_id=tenant_id,
skip=0,
limit=100
)
config = next((c for c in configurations if str(c.id) == str(config_id)), None)
if not config:
raise HTTPException(status_code=404, detail="Configuration not found")
# For demo purposes, we assume connection is successful if config exists
# In production, this would actually test the POS API connection
is_connected = config.is_connected and config.is_active
return {
"status": "success",
"message": "Connection test successful",
"success": is_connected,
"status": "success" if is_connected else "failed",
"message": f"Connection test {'successful' if is_connected else 'failed'} for {config.pos_system}",
"tested_at": datetime.utcnow().isoformat(),
"config_id": str(config_id)
"config_id": str(config_id),
"pos_system": config.pos_system,
"health_status": config.health_status
}
except HTTPException:
raise
except Exception as e:
logger.error("Failed to test POS connection", error=str(e),
tenant_id=tenant_id, config_id=config_id)

110
services/pos/app/api/transactions.py
View File

@@ -4,15 +4,22 @@ ATOMIC layer - Basic CRUD operations for POS transactions
"""
from fastapi import APIRouter, Depends, HTTPException, Path, Query
from typing import Optional, Dict, Any
from typing import Optional
from uuid import UUID
from datetime import datetime
from decimal import Decimal
import structlog
from app.core.database import get_db
from shared.auth.decorators import get_current_user_dep
from shared.auth.access_control import require_user_role
from shared.routing import RouteBuilder
from app.services.pos_transaction_service import POSTransactionService
from app.schemas.pos_transaction import (
POSTransactionResponse,
POSTransactionListResponse,
POSTransactionDashboardSummary
)
router = APIRouter()
logger = structlog.get_logger()
@@ -21,7 +28,7 @@ route_builder = RouteBuilder('pos')
@router.get(
route_builder.build_base_route("transactions"),
response_model=dict
response_model=POSTransactionListResponse
)
@require_user_role(['viewer', 'member', 'admin', 'owner'])
async def list_pos_transactions(
@@ -38,20 +45,46 @@ async def list_pos_transactions(
):
"""List POS transactions for a tenant"""
try:
return {
"transactions": [],
"total": 0,
"has_more": False,
"summary": {
"total_amount": 0,
"transaction_count": 0,
"sync_status": {
"synced": 0,
"pending": 0,
"failed": 0
}
service = POSTransactionService()
transactions = await service.get_transactions_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
start_date=start_date,
end_date=end_date,
status=status,
is_synced=is_synced,
skip=offset,
limit=limit
)
total = await service.count_transactions_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
start_date=start_date,
end_date=end_date,
status=status,
is_synced=is_synced
)
# Get sync metrics for summary
sync_metrics = await service.get_sync_metrics(tenant_id)
# Calculate summary
total_amount = sum(float(t.total_amount) for t in transactions if t.status == "completed")
has_more = (offset + limit) < total
return POSTransactionListResponse(
transactions=transactions,
total=total,
has_more=has_more,
summary={
"total_amount": total_amount,
"transaction_count": len(transactions),
"sync_status": sync_metrics["sync_status"]
}
}
)
except Exception as e:
logger.error("Failed to list POS transactions", error=str(e), tenant_id=tenant_id)
raise HTTPException(status_code=500, detail=f"Failed to list transactions: {str(e)}")
@@ -59,7 +92,7 @@ async def list_pos_transactions(
@router.get(
route_builder.build_resource_detail_route("transactions", "transaction_id"),
response_model=dict
response_model=POSTransactionResponse
)
@require_user_role(['viewer', 'member', 'admin', 'owner'])
async def get_pos_transaction(
@@ -70,13 +103,46 @@ async def get_pos_transaction(
):
"""Get a specific POS transaction"""
try:
return {
"id": str(transaction_id),
"tenant_id": str(tenant_id),
"status": "completed",
"is_synced": True
}
service = POSTransactionService()
transaction = await service.get_transaction_with_items(
transaction_id=transaction_id,
tenant_id=tenant_id
)
if not transaction:
raise HTTPException(status_code=404, detail="Transaction not found")
return transaction
except HTTPException:
raise
except Exception as e:
logger.error("Failed to get POS transaction", error=str(e),
tenant_id=tenant_id, transaction_id=transaction_id)
raise HTTPException(status_code=500, detail=f"Failed to get transaction: {str(e)}")
@router.get(
route_builder.build_operations_route("transactions-dashboard"),
response_model=POSTransactionDashboardSummary
)
@require_user_role(['viewer', 'member', 'admin', 'owner'])
async def get_transactions_dashboard(
tenant_id: UUID = Path(...),
current_user: dict = Depends(get_current_user_dep),
db=Depends(get_db)
):
"""Get dashboard summary for POS transactions"""
try:
service = POSTransactionService()
summary = await service.get_dashboard_summary(tenant_id)
logger.info("Transactions dashboard retrieved",
tenant_id=str(tenant_id),
total_today=summary.total_transactions_today)
return summary
except Exception as e:
logger.error("Failed to get transactions dashboard", error=str(e), tenant_id=tenant_id)
raise HTTPException(status_code=500, detail=f"Failed to get dashboard: {str(e)}")

82
services/pos/app/repositories/pos_config_repository.py Normal file
View File

@@ -0,0 +1,82 @@
"""
POS Configuration Repository using Repository Pattern
"""
from typing import List, Optional, Dict, Any
from uuid import UUID
from sqlalchemy import select, and_, or_
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
from app.models.pos_config import POSConfiguration
from shared.database.repository import BaseRepository
logger = structlog.get_logger()
class POSConfigurationRepository(BaseRepository[POSConfiguration, dict, dict]):
"""Repository for POS configuration operations"""
def __init__(self, session: AsyncSession):
super().__init__(POSConfiguration, session)
async def get_configurations_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
is_active: Optional[bool] = None,
skip: int = 0,
limit: int = 100
) -> List[POSConfiguration]:
"""Get POS configurations for a specific tenant with optional filters"""
try:
query = select(self.model).where(self.model.tenant_id == tenant_id)
# Apply filters
conditions = []
if pos_system:
conditions.append(self.model.pos_system == pos_system)
if is_active is not None:
conditions.append(self.model.is_active == is_active)
if conditions:
query = query.where(and_(*conditions))
query = query.offset(skip).limit(limit).order_by(self.model.created_at.desc())
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get configurations by tenant", error=str(e), tenant_id=tenant_id)
raise
async def count_configurations_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
is_active: Optional[bool] = None
) -> int:
"""Count POS configurations for a specific tenant with optional filters"""
try:
from sqlalchemy import func
query = select(func.count(self.model.id)).where(self.model.tenant_id == tenant_id)
# Apply filters
conditions = []
if pos_system:
conditions.append(self.model.pos_system == pos_system)
if is_active is not None:
conditions.append(self.model.is_active == is_active)
if conditions:
query = query.where(and_(*conditions))
result = await self.session.execute(query)
count = result.scalar() or 0
return count
except Exception as e:
logger.error("Failed to count configurations by tenant", error=str(e), tenant_id=tenant_id)
raise

113
services/pos/app/repositories/pos_transaction_item_repository.py Normal file
View File

@@ -0,0 +1,113 @@
"""
POS Transaction Item Repository using Repository Pattern
"""
from typing import List, Optional
from uuid import UUID
from sqlalchemy import select, and_
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
from app.models.pos_transaction import POSTransactionItem
from shared.database.repository import BaseRepository
logger = structlog.get_logger()
class POSTransactionItemRepository(BaseRepository[POSTransactionItem, dict, dict]):
"""Repository for POS transaction item operations"""
def __init__(self, session: AsyncSession):
super().__init__(POSTransactionItem, session)
async def get_items_by_transaction(
self,
transaction_id: UUID
) -> List[POSTransactionItem]:
"""Get all items for a transaction"""
try:
query = select(POSTransactionItem).where(
POSTransactionItem.transaction_id == transaction_id
).order_by(POSTransactionItem.created_at)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get transaction items",
transaction_id=str(transaction_id),
error=str(e))
raise
async def get_items_by_product(
self,
tenant_id: UUID,
product_name: str,
skip: int = 0,
limit: int = 100
) -> List[POSTransactionItem]:
"""Get all transaction items for a specific product"""
try:
query = select(POSTransactionItem).where(
and_(
POSTransactionItem.tenant_id == tenant_id,
POSTransactionItem.product_name.ilike(f"%{product_name}%")
)
).order_by(POSTransactionItem.created_at.desc()).offset(skip).limit(limit)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get items by product",
product_name=product_name,
error=str(e))
raise
async def get_items_by_sku(
self,
tenant_id: UUID,
sku: str
) -> List[POSTransactionItem]:
"""Get all transaction items for a specific SKU"""
try:
query = select(POSTransactionItem).where(
and_(
POSTransactionItem.tenant_id == tenant_id,
POSTransactionItem.sku == sku
)
).order_by(POSTransactionItem.created_at.desc())
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get items by SKU",
sku=sku,
error=str(e))
raise
async def get_items_by_category(
self,
tenant_id: UUID,
category: str,
skip: int = 0,
limit: int = 100
) -> List[POSTransactionItem]:
"""Get all transaction items for a specific category"""
try:
query = select(POSTransactionItem).where(
and_(
POSTransactionItem.tenant_id == tenant_id,
POSTransactionItem.product_category == category
)
).order_by(POSTransactionItem.created_at.desc()).offset(skip).limit(limit)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get items by category",
category=category,
error=str(e))
raise

362
services/pos/app/repositories/pos_transaction_repository.py Normal file
View File

@@ -0,0 +1,362 @@
"""
POS Transaction Repository using Repository Pattern
"""
from typing import List, Optional, Dict, Any
from uuid import UUID
from datetime import datetime, date, timedelta
from sqlalchemy import select, func, and_, or_, desc
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import selectinload
import structlog
from app.models.pos_transaction import POSTransaction, POSTransactionItem
from shared.database.repository import BaseRepository
logger = structlog.get_logger()
class POSTransactionRepository(BaseRepository[POSTransaction, dict, dict]):
"""Repository for POS transaction operations"""
def __init__(self, session: AsyncSession):
super().__init__(POSTransaction, session)
async def get_transactions_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
status: Optional[str] = None,
is_synced: Optional[bool] = None,
skip: int = 0,
limit: int = 50
) -> List[POSTransaction]:
"""Get POS transactions for a specific tenant with optional filters"""
try:
query = select(self.model).options(
selectinload(POSTransaction.items)
).where(self.model.tenant_id == tenant_id)
# Apply filters
conditions = []
if pos_system:
conditions.append(self.model.pos_system == pos_system)
if status:
conditions.append(self.model.status == status)
if is_synced is not None:
conditions.append(self.model.is_synced_to_sales == is_synced)
if start_date:
conditions.append(self.model.transaction_date >= start_date)
if end_date:
conditions.append(self.model.transaction_date <= end_date)
if conditions:
query = query.where(and_(*conditions))
query = query.order_by(desc(self.model.transaction_date)).offset(skip).limit(limit)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get transactions by tenant", error=str(e), tenant_id=tenant_id)
raise
async def count_transactions_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
status: Optional[str] = None,
is_synced: Optional[bool] = None
) -> int:
"""Count POS transactions for a specific tenant with optional filters"""
try:
query = select(func.count(self.model.id)).where(self.model.tenant_id == tenant_id)
# Apply filters
conditions = []
if pos_system:
conditions.append(self.model.pos_system == pos_system)
if status:
conditions.append(self.model.status == status)
if is_synced is not None:
conditions.append(self.model.is_synced_to_sales == is_synced)
if start_date:
conditions.append(self.model.transaction_date >= start_date)
if end_date:
conditions.append(self.model.transaction_date <= end_date)
if conditions:
query = query.where(and_(*conditions))
result = await self.session.execute(query)
count = result.scalar() or 0
return count
except Exception as e:
logger.error("Failed to count transactions by tenant", error=str(e), tenant_id=tenant_id)
raise
async def get_transaction_with_items(
self,
transaction_id: UUID,
tenant_id: UUID
) -> Optional[POSTransaction]:
"""Get transaction with all its items"""
try:
query = select(POSTransaction).options(
selectinload(POSTransaction.items)
).where(
and_(
POSTransaction.id == transaction_id,
POSTransaction.tenant_id == tenant_id
)
)
result = await self.session.execute(query)
return result.scalar_one_or_none()
except Exception as e:
logger.error("Failed to get transaction with items",
transaction_id=str(transaction_id),
error=str(e))
raise
async def get_transactions_by_pos_config(
self,
pos_config_id: UUID,
skip: int = 0,
limit: int = 50
) -> List[POSTransaction]:
"""Get transactions for a specific POS configuration"""
try:
query = select(POSTransaction).options(
selectinload(POSTransaction.items)
).where(
POSTransaction.pos_config_id == pos_config_id
).order_by(desc(POSTransaction.transaction_date)).offset(skip).limit(limit)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get transactions by pos config",
pos_config_id=str(pos_config_id),
error=str(e))
raise
async def get_transactions_by_date_range(
self,
tenant_id: UUID,
start_date: date,
end_date: date,
skip: int = 0,
limit: int = 100
) -> List[POSTransaction]:
"""Get transactions within date range"""
try:
start_datetime = datetime.combine(start_date, datetime.min.time())
end_datetime = datetime.combine(end_date, datetime.max.time())
query = select(POSTransaction).options(
selectinload(POSTransaction.items)
).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= start_datetime,
POSTransaction.transaction_date <= end_datetime
)
).order_by(desc(POSTransaction.transaction_date)).offset(skip).limit(limit)
result = await self.session.execute(query)
return result.scalars().all()
except Exception as e:
logger.error("Failed to get transactions by date range",
start_date=str(start_date),
end_date=str(end_date),
error=str(e))
raise
async def get_dashboard_metrics(
self,
tenant_id: UUID
) -> Dict[str, Any]:
"""Get dashboard metrics for transactions"""
try:
# Today's metrics
today = datetime.now().date()
today_start = datetime.combine(today, datetime.min.time())
today_end = datetime.combine(today, datetime.max.time())
week_start = today - timedelta(days=today.weekday())
week_start_datetime = datetime.combine(week_start, datetime.min.time())
month_start = today.replace(day=1)
month_start_datetime = datetime.combine(month_start, datetime.min.time())
# Transaction counts by period
transactions_today = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= today_start,
POSTransaction.transaction_date <= today_end,
POSTransaction.status == "completed"
)
)
)
transactions_week = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= week_start_datetime,
POSTransaction.status == "completed"
)
)
)
transactions_month = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= month_start_datetime,
POSTransaction.status == "completed"
)
)
)
# Revenue by period
revenue_today = await self.session.execute(
select(func.coalesce(func.sum(POSTransaction.total_amount), 0)).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= today_start,
POSTransaction.transaction_date <= today_end,
POSTransaction.status == "completed"
)
)
)
revenue_week = await self.session.execute(
select(func.coalesce(func.sum(POSTransaction.total_amount), 0)).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= week_start_datetime,
POSTransaction.status == "completed"
)
)
)
revenue_month = await self.session.execute(
select(func.coalesce(func.sum(POSTransaction.total_amount), 0)).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.transaction_date >= month_start_datetime,
POSTransaction.status == "completed"
)
)
)
# Status breakdown
status_counts = await self.session.execute(
select(POSTransaction.status, func.count()).select_from(POSTransaction).where(
POSTransaction.tenant_id == tenant_id
).group_by(POSTransaction.status)
)
status_breakdown = {status: count for status, count in status_counts.fetchall()}
# Payment method breakdown
payment_counts = await self.session.execute(
select(POSTransaction.payment_method, func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.status == "completed"
)
).group_by(POSTransaction.payment_method)
)
payment_breakdown = {method: count for method, count in payment_counts.fetchall()}
# Average transaction value
avg_transaction_value = await self.session.execute(
select(func.coalesce(func.avg(POSTransaction.total_amount), 0)).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.status == "completed"
)
)
)
return {
"total_transactions_today": transactions_today.scalar(),
"total_transactions_this_week": transactions_week.scalar(),
"total_transactions_this_month": transactions_month.scalar(),
"revenue_today": float(revenue_today.scalar()),
"revenue_this_week": float(revenue_week.scalar()),
"revenue_this_month": float(revenue_month.scalar()),
"status_breakdown": status_breakdown,
"payment_method_breakdown": payment_breakdown,
"average_transaction_value": float(avg_transaction_value.scalar())
}
except Exception as e:
logger.error("Failed to get dashboard metrics", error=str(e), tenant_id=tenant_id)
raise
async def get_sync_status_summary(
self,
tenant_id: UUID
) -> Dict[str, Any]:
"""Get sync status summary for transactions"""
try:
# Count synced vs unsynced
synced_count = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.is_synced_to_sales == True
)
)
)
pending_count = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.is_synced_to_sales == False,
POSTransaction.sync_error.is_(None)
)
)
)
failed_count = await self.session.execute(
select(func.count()).select_from(POSTransaction).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.is_synced_to_sales == False,
POSTransaction.sync_error.isnot(None)
)
)
)
# Get last sync time
last_sync = await self.session.execute(
select(func.max(POSTransaction.sync_completed_at)).where(
and_(
POSTransaction.tenant_id == tenant_id,
POSTransaction.is_synced_to_sales == True
)
)
)
return {
"synced": synced_count.scalar(),
"pending": pending_count.scalar(),
"failed": failed_count.scalar(),
"last_sync_at": last_sync.scalar()
}
except Exception as e:
logger.error("Failed to get sync status summary", error=str(e), tenant_id=tenant_id)
raise

95
services/pos/app/schemas/pos_config.py Normal file
View File

@@ -0,0 +1,95 @@
"""
Pydantic schemas for POS configuration API requests and responses
"""
from typing import Optional, List, Dict, Any
from datetime import datetime
from pydantic import BaseModel, Field
from enum import Enum
class POSProvider(str, Enum):
"""POS provider types"""
SQUARE = "square"
TOAST = "toast"
LIGHTSPEED = "lightspeed"
class POSConfigurationBase(BaseModel):
"""Base schema for POS configurations"""
class Config:
from_attributes = True
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat() if v else None
}
class POSConfigurationResponse(POSConfigurationBase):
"""Schema for POS configuration API responses"""
id: str
tenant_id: str
pos_system: POSProvider
provider_name: str
is_active: bool
is_connected: bool
webhook_url: Optional[str] = None
webhook_secret: Optional[str] = None
environment: str = "sandbox"
location_id: Optional[str] = None
merchant_id: Optional[str] = None
sync_enabled: bool = True
sync_interval_minutes: str = "5"
auto_sync_products: bool = True
auto_sync_transactions: bool = True
last_sync_at: Optional[datetime] = None
last_successful_sync_at: Optional[datetime] = None
last_sync_status: Optional[str] = None
last_sync_message: Optional[str] = None
provider_settings: Optional[Dict[str, Any]] = None
last_health_check_at: Optional[datetime] = None
health_status: str = "unknown"
health_message: Optional[str] = None
created_at: datetime
updated_at: datetime
notes: Optional[str] = None
@classmethod
def from_orm(cls, obj):
"""Convert ORM object to schema with proper UUID handling"""
return cls(
id=str(obj.id),
tenant_id=str(obj.tenant_id),
pos_system=obj.pos_system,
provider_name=obj.provider_name,
is_active=obj.is_active,
is_connected=obj.is_connected,
webhook_url=obj.webhook_url,
webhook_secret=obj.webhook_secret,
environment=obj.environment,
location_id=obj.location_id,
merchant_id=obj.merchant_id,
sync_enabled=obj.sync_enabled,
sync_interval_minutes=obj.sync_interval_minutes,
auto_sync_products=obj.auto_sync_products,
auto_sync_transactions=obj.auto_sync_transactions,
last_sync_at=obj.last_sync_at,
last_successful_sync_at=obj.last_successful_sync_at,
last_sync_status=obj.last_sync_status,
last_sync_message=obj.last_sync_message,
provider_settings=obj.provider_settings,
last_health_check_at=obj.last_health_check_at,
health_status=obj.health_status,
health_message=obj.health_message,
created_at=obj.created_at,
updated_at=obj.updated_at,
notes=obj.notes
)
class POSConfigurationListResponse(BaseModel):
"""Schema for POS configuration list API response"""
configurations: List[POSConfigurationResponse]
total: int
supported_systems: List[str] = ["square", "toast", "lightspeed"]

248
services/pos/app/schemas/pos_transaction.py Normal file
View File

@@ -0,0 +1,248 @@
"""
Pydantic schemas for POS transaction API requests and responses
"""
from typing import Optional, List, Dict, Any
from datetime import datetime
from decimal import Decimal
from pydantic import BaseModel, Field
from enum import Enum
class TransactionType(str, Enum):
"""Transaction type enumeration"""
SALE = "sale"
REFUND = "refund"
VOID = "void"
EXCHANGE = "exchange"
class TransactionStatus(str, Enum):
"""Transaction status enumeration"""
COMPLETED = "completed"
PENDING = "pending"
FAILED = "failed"
REFUNDED = "refunded"
VOIDED = "voided"
class PaymentMethod(str, Enum):
"""Payment method enumeration"""
CARD = "card"
CASH = "cash"
DIGITAL_WALLET = "digital_wallet"
OTHER = "other"
class OrderType(str, Enum):
"""Order type enumeration"""
DINE_IN = "dine_in"
TAKEOUT = "takeout"
DELIVERY = "delivery"
PICKUP = "pickup"
class POSTransactionItemResponse(BaseModel):
"""Schema for POS transaction item response"""
id: str
transaction_id: str
tenant_id: str
external_item_id: Optional[str] = None
sku: Optional[str] = None
product_name: str
product_category: Optional[str] = None
product_subcategory: Optional[str] = None
quantity: Decimal
unit_price: Decimal
total_price: Decimal
discount_amount: Decimal = Decimal("0")
tax_amount: Decimal = Decimal("0")
modifiers: Optional[Dict[str, Any]] = None
inventory_product_id: Optional[str] = None
is_mapped_to_inventory: bool = False
is_synced_to_sales: bool = False
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat() if v else None,
Decimal: lambda v: float(v) if v else 0.0
}
@classmethod
def from_orm(cls, obj):
"""Convert ORM object to schema with proper UUID and Decimal handling"""
return cls(
id=str(obj.id),
transaction_id=str(obj.transaction_id),
tenant_id=str(obj.tenant_id),
external_item_id=obj.external_item_id,
sku=obj.sku,
product_name=obj.product_name,
product_category=obj.product_category,
product_subcategory=obj.product_subcategory,
quantity=obj.quantity,
unit_price=obj.unit_price,
total_price=obj.total_price,
discount_amount=obj.discount_amount,
tax_amount=obj.tax_amount,
modifiers=obj.modifiers,
inventory_product_id=str(obj.inventory_product_id) if obj.inventory_product_id else None,
is_mapped_to_inventory=obj.is_mapped_to_inventory,
is_synced_to_sales=obj.is_synced_to_sales,
created_at=obj.created_at,
updated_at=obj.updated_at
)
class POSTransactionResponse(BaseModel):
"""Schema for POS transaction response"""
id: str
tenant_id: str
pos_config_id: str
pos_system: str
external_transaction_id: str
external_order_id: Optional[str] = None
transaction_type: TransactionType
status: TransactionStatus
subtotal: Decimal
tax_amount: Decimal
tip_amount: Decimal
discount_amount: Decimal
total_amount: Decimal
currency: str = "EUR"
payment_method: Optional[PaymentMethod] = None
payment_status: Optional[str] = None
transaction_date: datetime
pos_created_at: datetime
pos_updated_at: Optional[datetime] = None
location_id: Optional[str] = None
location_name: Optional[str] = None
staff_id: Optional[str] = None
staff_name: Optional[str] = None
customer_id: Optional[str] = None
customer_email: Optional[str] = None
customer_phone: Optional[str] = None
order_type: Optional[OrderType] = None
table_number: Optional[str] = None
receipt_number: Optional[str] = None
is_synced_to_sales: bool = False
sales_record_id: Optional[str] = None
sync_attempted_at: Optional[datetime] = None
sync_completed_at: Optional[datetime] = None
sync_error: Optional[str] = None
sync_retry_count: int = 0
is_processed: bool = False
is_duplicate: bool = False
created_at: datetime
updated_at: datetime
items: List[POSTransactionItemResponse] = []
class Config:
from_attributes = True
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat() if v else None,
Decimal: lambda v: float(v) if v else 0.0
}
@classmethod
def from_orm(cls, obj):
"""Convert ORM object to schema with proper UUID and Decimal handling"""
return cls(
id=str(obj.id),
tenant_id=str(obj.tenant_id),
pos_config_id=str(obj.pos_config_id),
pos_system=obj.pos_system,
external_transaction_id=obj.external_transaction_id,
external_order_id=obj.external_order_id,
transaction_type=obj.transaction_type,
status=obj.status,
subtotal=obj.subtotal,
tax_amount=obj.tax_amount,
tip_amount=obj.tip_amount,
discount_amount=obj.discount_amount,
total_amount=obj.total_amount,
currency=obj.currency,
payment_method=obj.payment_method,
payment_status=obj.payment_status,
transaction_date=obj.transaction_date,
pos_created_at=obj.pos_created_at,
pos_updated_at=obj.pos_updated_at,
location_id=obj.location_id,
location_name=obj.location_name,
staff_id=obj.staff_id,
staff_name=obj.staff_name,
customer_id=obj.customer_id,
customer_email=obj.customer_email,
customer_phone=obj.customer_phone,
order_type=obj.order_type,
table_number=obj.table_number,
receipt_number=obj.receipt_number,
is_synced_to_sales=obj.is_synced_to_sales,
sales_record_id=str(obj.sales_record_id) if obj.sales_record_id else None,
sync_attempted_at=obj.sync_attempted_at,
sync_completed_at=obj.sync_completed_at,
sync_error=obj.sync_error,
sync_retry_count=obj.sync_retry_count,
is_processed=obj.is_processed,
is_duplicate=obj.is_duplicate,
created_at=obj.created_at,
updated_at=obj.updated_at,
items=[POSTransactionItemResponse.from_orm(item) for item in obj.items] if hasattr(obj, 'items') and obj.items else []
)
class POSTransactionSummary(BaseModel):
"""Summary information for a transaction (lightweight)"""
id: str
external_transaction_id: str
transaction_date: datetime
total_amount: Decimal
status: TransactionStatus
payment_method: Optional[PaymentMethod] = None
is_synced_to_sales: bool
item_count: int = 0
class Config:
from_attributes = True
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat() if v else None,
Decimal: lambda v: float(v) if v else 0.0
}
class POSTransactionListResponse(BaseModel):
"""Schema for paginated transaction list response"""
transactions: List[POSTransactionResponse]
total: int
has_more: bool = False
summary: Optional[Dict[str, Any]] = None
class Config:
from_attributes = True
class POSTransactionDashboardSummary(BaseModel):
"""Dashboard summary for POS transactions"""
total_transactions_today: int = 0
total_transactions_this_week: int = 0
total_transactions_this_month: int = 0
revenue_today: Decimal = Decimal("0")
revenue_this_week: Decimal = Decimal("0")
revenue_this_month: Decimal = Decimal("0")
average_transaction_value: Decimal = Decimal("0")
status_breakdown: Dict[str, int] = {}
payment_method_breakdown: Dict[str, int] = {}
sync_status: Dict[str, Any] = {}
class Config:
from_attributes = True
json_encoders = {
Decimal: lambda v: float(v) if v else 0.0,
datetime: lambda v: v.isoformat() if v else None
}

76
services/pos/app/services/pos_config_service.py Normal file
View File

@@ -0,0 +1,76 @@
"""
POS Configuration Service - Business Logic Layer
"""
from typing import List, Optional
from uuid import UUID
import structlog
from app.repositories.pos_config_repository import POSConfigurationRepository
from app.schemas.pos_config import POSConfigurationResponse
from app.core.database import get_db_transaction
logger = structlog.get_logger()
class POSConfigurationService:
"""Service layer for POS configuration operations"""
def __init__(self):
pass
async def get_configurations_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
is_active: Optional[bool] = None,
skip: int = 0,
limit: int = 100
) -> List[POSConfigurationResponse]:
"""Get POS configurations for a tenant with filtering"""
try:
async with get_db_transaction() as db:
repository = POSConfigurationRepository(db)
configurations = await repository.get_configurations_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
is_active=is_active,
skip=skip,
limit=limit
)
# Convert to response schemas using from_orm
responses = []
for config in configurations:
response = POSConfigurationResponse.from_orm(config)
responses.append(response)
return responses
except Exception as e:
logger.error("Failed to get configurations by tenant", error=str(e), tenant_id=tenant_id)
raise
async def count_configurations_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
is_active: Optional[bool] = None
) -> int:
"""Count POS configurations for a tenant with filtering"""
try:
async with get_db_transaction() as db:
repository = POSConfigurationRepository(db)
count = await repository.count_configurations_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
is_active=is_active
)
return count
except Exception as e:
logger.error("Failed to count configurations by tenant", error=str(e), tenant_id=tenant_id)
raise

239
services/pos/app/services/pos_transaction_service.py Normal file
View File

@@ -0,0 +1,239 @@
"""
POS Transaction Service - Business Logic Layer
"""
from typing import List, Optional, Dict, Any
from uuid import UUID
from datetime import datetime
from decimal import Decimal
import structlog
from app.repositories.pos_transaction_repository import POSTransactionRepository
from app.repositories.pos_transaction_item_repository import POSTransactionItemRepository
from app.schemas.pos_transaction import (
POSTransactionResponse,
POSTransactionDashboardSummary
)
from app.core.database import get_db_transaction
logger = structlog.get_logger()
class POSTransactionService:
"""Service layer for POS transaction operations"""
def __init__(self):
pass
async def get_transactions_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
status: Optional[str] = None,
is_synced: Optional[bool] = None,
skip: int = 0,
limit: int = 50
) -> List[POSTransactionResponse]:
"""Get POS transactions for a tenant with filtering"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
transactions = await repository.get_transactions_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
start_date=start_date,
end_date=end_date,
status=status,
is_synced=is_synced,
skip=skip,
limit=limit
)
# Convert to response schemas
responses = []
for transaction in transactions:
response = POSTransactionResponse.from_orm(transaction)
responses.append(response)
return responses
except Exception as e:
logger.error("Failed to get transactions by tenant", error=str(e), tenant_id=tenant_id)
raise
async def count_transactions_by_tenant(
self,
tenant_id: UUID,
pos_system: Optional[str] = None,
start_date: Optional[datetime] = None,
end_date: Optional[datetime] = None,
status: Optional[str] = None,
is_synced: Optional[bool] = None
) -> int:
"""Count POS transactions for a tenant with filtering"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
count = await repository.count_transactions_by_tenant(
tenant_id=tenant_id,
pos_system=pos_system,
start_date=start_date,
end_date=end_date,
status=status,
is_synced=is_synced
)
return count
except Exception as e:
logger.error("Failed to count transactions by tenant", error=str(e), tenant_id=tenant_id)
raise
async def get_transaction_with_items(
self,
transaction_id: UUID,
tenant_id: UUID
) -> Optional[POSTransactionResponse]:
"""Get transaction with all its items"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
transaction = await repository.get_transaction_with_items(
transaction_id=transaction_id,
tenant_id=tenant_id
)
if not transaction:
return None
return POSTransactionResponse.from_orm(transaction)
except Exception as e:
logger.error("Failed to get transaction with items",
transaction_id=str(transaction_id),
error=str(e))
raise
async def get_dashboard_summary(
self,
tenant_id: UUID
) -> POSTransactionDashboardSummary:
"""Get dashboard summary for POS transactions"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
# Get metrics from repository
metrics = await repository.get_dashboard_metrics(tenant_id)
# Get sync status
sync_status = await repository.get_sync_status_summary(tenant_id)
# Construct dashboard summary
return POSTransactionDashboardSummary(
total_transactions_today=metrics["total_transactions_today"],
total_transactions_this_week=metrics["total_transactions_this_week"],
total_transactions_this_month=metrics["total_transactions_this_month"],
revenue_today=Decimal(str(metrics["revenue_today"])),
revenue_this_week=Decimal(str(metrics["revenue_this_week"])),
revenue_this_month=Decimal(str(metrics["revenue_this_month"])),
average_transaction_value=Decimal(str(metrics["average_transaction_value"])),
status_breakdown=metrics["status_breakdown"],
payment_method_breakdown=metrics["payment_method_breakdown"],
sync_status=sync_status
)
except Exception as e:
logger.error("Failed to get dashboard summary", error=str(e), tenant_id=tenant_id)
raise
async def get_sync_metrics(
self,
tenant_id: UUID
) -> Dict[str, Any]:
"""Get sync metrics for transactions"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
sync_status = await repository.get_sync_status_summary(tenant_id)
# Calculate sync rate
total = sync_status["synced"] + sync_status["pending"] + sync_status["failed"]
sync_rate = (sync_status["synced"] / total * 100) if total > 0 else 0
return {
"sync_status": sync_status,
"sync_rate_percentage": round(sync_rate, 2),
"total_transactions": total
}
except Exception as e:
logger.error("Failed to get sync metrics", error=str(e), tenant_id=tenant_id)
raise
async def calculate_transaction_analytics(
self,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""Calculate analytics for transactions within a date range"""
try:
async with get_db_transaction() as db:
repository = POSTransactionRepository(db)
transactions = await repository.get_transactions_by_date_range(
tenant_id=tenant_id,
start_date=start_date.date(),
end_date=end_date.date(),
skip=0,
limit=10000 # Large limit for analytics
)
# Calculate analytics
total_revenue = Decimal("0")
total_transactions = len(transactions)
payment_methods = {}
order_types = {}
hourly_distribution = {}
for transaction in transactions:
if transaction.status == "completed":
total_revenue += transaction.total_amount
# Payment method breakdown
pm = transaction.payment_method or "unknown"
payment_methods[pm] = payment_methods.get(pm, 0) + 1
# Order type breakdown
ot = transaction.order_type or "unknown"
order_types[ot] = order_types.get(ot, 0) + 1
# Hourly distribution
hour = transaction.transaction_date.hour
hourly_distribution[hour] = hourly_distribution.get(hour, 0) + 1
avg_transaction_value = (total_revenue / total_transactions) if total_transactions > 0 else Decimal("0")
return {
"period": {
"start_date": start_date.isoformat(),
"end_date": end_date.isoformat()
},
"total_revenue": float(total_revenue),
"total_transactions": total_transactions,
"average_transaction_value": float(avg_transaction_value),
"payment_methods": payment_methods,
"order_types": order_types,
"hourly_distribution": hourly_distribution
}
except Exception as e:
logger.error("Failed to calculate transaction analytics", error=str(e), tenant_id=tenant_id)
raise

99
services/production/app/api/analytics.py
View File

@@ -426,3 +426,102 @@ async def get_predictive_maintenance_insights(
status_code=500,
detail="Failed to generate predictive maintenance insights"
)
# ===== SUSTAINABILITY / WASTE ANALYTICS ENDPOINT =====
# Called by Inventory Service for sustainability metrics
@router.get(
"/api/v1/tenants/{tenant_id}/production/waste-analytics",
response_model=dict
)
async def get_waste_analytics_for_sustainability(
tenant_id: UUID = Path(...),
start_date: datetime = Query(..., description="Start date for waste analysis"),
end_date: datetime = Query(..., description="End date for waste analysis"),
production_service: ProductionService = Depends(get_production_service)
):
"""
Get production waste analytics for sustainability tracking
This endpoint is called by the Inventory Service's sustainability module
to calculate environmental impact and SDG 12.3 compliance.
Does NOT require analytics tier - this is core sustainability data.
Returns:
- total_production_waste: Sum of waste_quantity from all batches
- total_defects: Sum of defect_quantity from all batches
- total_planned: Sum of planned_quantity
- total_actual: Sum of actual_quantity
"""
try:
waste_data = await production_service.get_waste_analytics(
tenant_id,
start_date,
end_date
)
logger.info(
"Production waste analytics retrieved for sustainability",
tenant_id=str(tenant_id),
total_waste=waste_data.get('total_production_waste', 0),
start_date=start_date.isoformat(),
end_date=end_date.isoformat()
)
return waste_data
except Exception as e:
logger.error(
"Error getting waste analytics for sustainability",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=500,
detail=f"Failed to retrieve waste analytics: {str(e)}"
)
@router.get(
"/api/v1/tenants/{tenant_id}/production/baseline",
response_model=dict
)
async def get_baseline_metrics(
tenant_id: UUID = Path(...),
production_service: ProductionService = Depends(get_production_service)
):
"""
Get baseline production metrics from first 90 days
Used by sustainability service to establish waste baseline
for SDG 12.3 compliance tracking.
Returns:
- waste_percentage: Baseline waste percentage from first 90 days
- total_production_kg: Total production in first 90 days
- total_waste_kg: Total waste in first 90 days
- period: Date range of baseline period
"""
try:
baseline_data = await production_service.get_baseline_metrics(tenant_id)
logger.info(
"Baseline metrics retrieved",
tenant_id=str(tenant_id),
baseline_percentage=baseline_data.get('waste_percentage', 0)
)
return baseline_data
except Exception as e:
logger.error(
"Error getting baseline metrics",
tenant_id=str(tenant_id),
error=str(e)
)
raise HTTPException(
status_code=500,
detail=f"Failed to retrieve baseline metrics: {str(e)}"
)

46
services/production/app/api/internal_demo.py
View File

@@ -20,8 +20,6 @@ from app.models.production import (
EquipmentStatus, EquipmentType
)
from shared.utils.demo_dates import adjust_date_for_demo, BASE_REFERENCE_DATE
from shared.utils.alert_generator import generate_equipment_alerts
from shared.messaging.rabbitmq import RabbitMQClient
logger = structlog.get_logger()
router = APIRouter(prefix="/internal/demo", tags=["internal"])
@@ -430,44 +428,18 @@ async def clone_demo_data(
db.add(new_capacity)
stats["production_capacity"] += 1
# Commit cloned data first
# Commit cloned data
await db.commit()
# Generate equipment maintenance and status alerts with RabbitMQ publishing
rabbitmq_client = None
try:
# Initialize RabbitMQ client for alert publishing
rabbitmq_host = os.getenv("RABBITMQ_HOST", "rabbitmq-service")
rabbitmq_user = os.getenv("RABBITMQ_USER", "bakery")
rabbitmq_password = os.getenv("RABBITMQ_PASSWORD", "forecast123")
rabbitmq_port = os.getenv("RABBITMQ_PORT", "5672")
rabbitmq_vhost = os.getenv("RABBITMQ_VHOST", "/")
rabbitmq_url = f"amqp://{rabbitmq_user}:{rabbitmq_password}@{rabbitmq_host}:{rabbitmq_port}{rabbitmq_vhost}"
# NOTE: Alert generation removed - alerts are now generated automatically by the
# production alert service which runs scheduled checks at appropriate intervals.
# This eliminates duplicate alerts and provides a more realistic demo experience.
stats["alerts_generated"] = 0
rabbitmq_client = RabbitMQClient(rabbitmq_url, service_name="production")
await rabbitmq_client.connect()
# Generate alerts and publish to RabbitMQ
alerts_count = await generate_equipment_alerts(
db,
virtual_uuid,
session_time,
rabbitmq_client=rabbitmq_client
)
stats["alerts_generated"] += alerts_count
await db.commit()
logger.info(f"Generated {alerts_count} equipment alerts")
except Exception as alert_error:
logger.warning(f"Alert generation failed: {alert_error}", exc_info=True)
finally:
# Clean up RabbitMQ connection
if rabbitmq_client:
try:
await rabbitmq_client.disconnect()
except Exception as cleanup_error:
logger.warning(f"Error disconnecting RabbitMQ: {cleanup_error}")
total_records = sum(stats.values())
# Calculate total from non-alert stats
total_records = (stats["equipment"] + stats["batches"] + stats["schedules"] +
stats["quality_templates"] + stats["quality_checks"] +
stats["production_capacity"])
duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
logger.info(

146
services/production/app/api/quality_templates.py
View File

@@ -12,7 +12,7 @@ from shared.auth.decorators import get_current_user_dep
from shared.auth.access_control import require_user_role
from shared.routing import RouteBuilder, RouteCategory
from app.core.database import get_db
from app.repositories.quality_template_repository import QualityTemplateRepository
from app.services.quality_template_service import QualityTemplateService
from app.models.production import ProcessStage, QualityCheckTemplate
from app.schemas.quality_templates import (
QualityCheckTemplateCreate,
@@ -52,9 +52,9 @@ async def list_quality_templates(
- is_active: Filter by active status (default: True)
"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
templates, total = await repo.get_templates_by_tenant(
templates, total = await service.get_templates(
tenant_id=str(tenant_id),
stage=stage,
check_type=check_type.value if check_type else None,
@@ -98,29 +98,18 @@ async def create_quality_template(
):
"""Create a new quality check template"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
# Check if template code already exists (if provided)
if template_data.template_code:
code_exists = await repo.check_template_code_exists(
tenant_id=str(tenant_id),
template_code=template_data.template_code
)
if code_exists:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Template code '{template_data.template_code}' already exists"
)
# Create template
# Add created_by from current user
template_dict = template_data.dict()
template_dict['tenant_id'] = str(tenant_id)
template_dict['created_by'] = UUID(current_user["sub"])
template_create = QualityCheckTemplateCreate(**template_dict)
template = QualityCheckTemplate(**template_dict)
db.add(template)
await db.commit()
await db.refresh(template)
# Create template via service (handles validation and business rules)
template = await service.create_template(
tenant_id=str(tenant_id),
template_data=template_create
)
logger.info("Created quality template",
template_id=str(template.id),
@@ -129,10 +118,13 @@ async def create_quality_template(
return QualityCheckTemplateResponse.from_orm(template)
except HTTPException:
raise
except ValueError as e:
# Business rule validation errors
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(e)
)
except Exception as e:
await db.rollback()
logger.error("Error creating quality template",
error=str(e), tenant_id=str(tenant_id))
raise HTTPException(
@@ -153,9 +145,9 @@ async def get_quality_template(
):
"""Get a specific quality check template"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
template = await repo.get_by_tenant_and_id(
template = await service.get_template(
tenant_id=str(tenant_id),
template_id=template_id
)
@@ -195,12 +187,13 @@ async def update_quality_template(
):
"""Update a quality check template"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
# Get existing template
template = await repo.get_by_tenant_and_id(
# Update template via service (handles validation and business rules)
template = await service.update_template(
tenant_id=str(tenant_id),
template_id=template_id
template_id=template_id,
template_data=template_data
)
if not template:
@@ -209,37 +202,21 @@ async def update_quality_template(
detail="Quality template not found"
)
# Check if template code already exists (if being updated)
if template_data.template_code and template_data.template_code != template.template_code:
code_exists = await repo.check_template_code_exists(
tenant_id=str(tenant_id),
template_code=template_data.template_code,
exclude_id=template_id
)
if code_exists:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Template code '{template_data.template_code}' already exists"
)
# Update template fields
update_data = template_data.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(template, field, value)
await db.commit()
await db.refresh(template)
logger.info("Updated quality template",
template_id=str(template_id),
tenant_id=str(tenant_id))
return QualityCheckTemplateResponse.from_orm(template)
except ValueError as e:
# Business rule validation errors
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=str(e)
)
except HTTPException:
raise
except Exception as e:
await db.rollback()
logger.error("Error updating quality template",
error=str(e),
template_id=str(template_id),
@@ -262,31 +239,27 @@ async def delete_quality_template(
db = Depends(get_db)
):
"""
Delete a quality check template (soft delete by setting is_active to False)
Delete a quality check template
Note: For safety, this performs a soft delete. Hard deletes would require
checking for dependencies in recipes and production batches.
Note: Service layer determines whether to use soft or hard delete
based on business rules (checking dependencies, etc.)
"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
# Get existing template
template = await repo.get_by_tenant_and_id(
# Delete template via service (handles business rules)
success = await service.delete_template(
tenant_id=str(tenant_id),
template_id=template_id
)
if not template:
if not success:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Quality template not found"
)
# Soft delete by marking as inactive
template.is_active = False
await db.commit()
logger.info("Deleted quality template (soft delete)",
logger.info("Deleted quality template",
template_id=str(template_id),
tenant_id=str(tenant_id))
@@ -322,9 +295,9 @@ async def get_templates_for_stage(
):
"""Get all quality templates applicable to a specific process stage"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
templates = await repo.get_templates_for_stage(
templates = await service.get_templates_for_stage(
tenant_id=str(tenant_id),
stage=stage,
is_active=is_active
@@ -367,50 +340,20 @@ async def duplicate_quality_template(
):
"""Duplicate an existing quality check template"""
try:
repo = QualityTemplateRepository(db)
service = QualityTemplateService(db)
# Get existing template
original = await repo.get_by_tenant_and_id(
# Duplicate template via service (handles business rules)
duplicate = await service.duplicate_template(
tenant_id=str(tenant_id),
template_id=template_id
)
if not original:
if not duplicate:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Quality template not found"
)
# Create duplicate
duplicate_data = {
'tenant_id': original.tenant_id,
'name': f"{original.name} (Copy)",
'template_code': f"{original.template_code}_copy" if original.template_code else None,
'check_type': original.check_type,
'category': original.category,
'description': original.description,
'instructions': original.instructions,
'parameters': original.parameters,
'thresholds': original.thresholds,
'scoring_criteria': original.scoring_criteria,
'is_active': original.is_active,
'is_required': original.is_required,
'is_critical': original.is_critical,
'weight': original.weight,
'min_value': original.min_value,
'max_value': original.max_value,
'target_value': original.target_value,
'unit': original.unit,
'tolerance_percentage': original.tolerance_percentage,
'applicable_stages': original.applicable_stages,
'created_by': UUID(current_user["sub"])
}
duplicate = QualityCheckTemplate(**duplicate_data)
db.add(duplicate)
await db.commit()
await db.refresh(duplicate)
logger.info("Duplicated quality template",
original_id=str(template_id),
duplicate_id=str(duplicate.id),
@@ -421,7 +364,6 @@ async def duplicate_quality_template(
except HTTPException:
raise
except Exception as e:
await db.rollback()
logger.error("Error duplicating quality template",
error=str(e),
template_id=str(template_id),

278
services/production/app/repositories/production_alert_repository.py Normal file
View File

@@ -0,0 +1,278 @@
# services/production/app/repositories/production_alert_repository.py
"""
Production Alert Repository
Data access layer for production-specific alert detection and analysis
"""
from typing import List, Dict, Any
from uuid import UUID
from sqlalchemy import text
from sqlalchemy.ext.asyncio import AsyncSession
import structlog
logger = structlog.get_logger()
class ProductionAlertRepository:
"""Repository for production alert data access"""
def __init__(self, session: AsyncSession):
self.session = session
async def get_capacity_issues(self) -> List[Dict[str, Any]]:
"""
Get production capacity overload issues
Returns batches that exceed daily capacity thresholds
"""
try:
query = text("""
SELECT
pb.tenant_id,
DATE(pb.planned_start_time) as planned_date,
COUNT(*) as batch_count,
SUM(pb.planned_quantity) as total_planned,
'capacity_check' as capacity_status,
100.0 as capacity_percentage
FROM production_batches pb
WHERE pb.planned_start_time >= CURRENT_DATE
AND pb.planned_start_time <= CURRENT_DATE + INTERVAL '3 days'
AND pb.status IN ('planned', 'in_progress')
GROUP BY pb.tenant_id, DATE(pb.planned_start_time)
HAVING COUNT(*) > 10
ORDER BY total_planned DESC
LIMIT 20
""")
result = await self.session.execute(query)
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get capacity issues", error=str(e))
raise
async def get_production_delays(self) -> List[Dict[str, Any]]:
"""
Get production batches that are delayed
Returns batches in progress past their planned end time
"""
try:
query = text("""
SELECT
pb.id, pb.tenant_id, pb.product_name, pb.batch_number,
pb.planned_end_time as planned_completion_time, pb.actual_start_time,
pb.actual_end_time as estimated_completion_time, pb.status,
EXTRACT(minutes FROM (NOW() - pb.planned_end_time)) as delay_minutes,
COALESCE(pb.priority::text, 'medium') as priority_level,
1 as affected_orders
FROM production_batches pb
WHERE pb.status = 'in_progress'
AND pb.planned_end_time < NOW()
AND pb.planned_end_time > NOW() - INTERVAL '24 hours'
ORDER BY
CASE COALESCE(pb.priority::text, 'MEDIUM')
WHEN 'URGENT' THEN 1 WHEN 'HIGH' THEN 2 ELSE 3
END,
delay_minutes DESC
LIMIT 50
""")
result = await self.session.execute(query)
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get production delays", error=str(e))
raise
async def get_quality_issues(self) -> List[Dict[str, Any]]:
"""
Get quality control failures
Returns quality checks that failed within recent hours
"""
try:
query = text("""
SELECT
qc.id, qc.tenant_id, qc.batch_id, qc.test_type,
qc.result_value, qc.min_acceptable, qc.max_acceptable,
qc.pass_fail, qc.defect_count,
qc.notes as qc_severity,
1 as total_failures,
pb.product_name, pb.batch_number,
qc.created_at
FROM quality_checks qc
JOIN production_batches pb ON pb.id = qc.batch_id
WHERE qc.pass_fail = false
AND qc.created_at > NOW() - INTERVAL '4 hours'
AND qc.corrective_action_needed = true
ORDER BY
CASE
WHEN qc.pass_fail = false AND qc.defect_count > 5 THEN 1
WHEN qc.pass_fail = false THEN 2
ELSE 3
END,
qc.created_at DESC
""")
result = await self.session.execute(query)
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get quality issues", error=str(e))
raise
async def mark_quality_check_acknowledged(self, quality_check_id: UUID) -> None:
"""
Mark a quality check as acknowledged to avoid duplicate alerts
"""
try:
query = text("""
UPDATE quality_checks
SET acknowledged = true
WHERE id = :id
""")
await self.session.execute(query, {"id": quality_check_id})
await self.session.commit()
except Exception as e:
logger.error("Failed to mark quality check acknowledged", error=str(e), qc_id=str(quality_check_id))
raise
async def get_equipment_status(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get equipment requiring attention
Returns equipment with maintenance due or status issues
"""
try:
query = text("""
SELECT
e.id, e.tenant_id, e.name, e.type, e.status,
e.efficiency_percentage, e.uptime_percentage,
e.last_maintenance_date, e.next_maintenance_date,
e.maintenance_interval_days,
EXTRACT(DAYS FROM (e.next_maintenance_date - NOW())) as days_to_maintenance,
COUNT(ea.id) as active_alerts
FROM equipment e
LEFT JOIN alerts ea ON ea.equipment_id = e.id
AND ea.is_active = true
AND ea.is_resolved = false
WHERE e.is_active = true
AND e.tenant_id = :tenant_id
GROUP BY e.id, e.tenant_id, e.name, e.type, e.status,
e.efficiency_percentage, e.uptime_percentage,
e.last_maintenance_date, e.next_maintenance_date,
e.maintenance_interval_days
ORDER BY e.next_maintenance_date ASC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get equipment status", error=str(e), tenant_id=str(tenant_id))
raise
async def get_efficiency_recommendations(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get production efficiency improvement recommendations
Analyzes production patterns to identify optimization opportunities
"""
try:
query = text("""
WITH efficiency_analysis AS (
SELECT
pb.tenant_id, pb.product_name,
AVG(EXTRACT(EPOCH FROM (pb.actual_end_time - pb.actual_start_time)) / 60) as avg_production_time,
AVG(pb.planned_duration_minutes) as avg_planned_duration,
COUNT(*) as batch_count,
AVG(pb.yield_percentage) as avg_yield,
EXTRACT(hour FROM pb.actual_start_time) as start_hour
FROM production_batches pb
WHERE pb.status = 'COMPLETED'
AND pb.actual_completion_time > CURRENT_DATE - INTERVAL '30 days'
AND pb.tenant_id = :tenant_id
GROUP BY pb.tenant_id, pb.product_name, EXTRACT(hour FROM pb.actual_start_time)
HAVING COUNT(*) >= 3
),
recommendations AS (
SELECT *,
CASE
WHEN avg_production_time > avg_planned_duration * 1.2 THEN 'reduce_production_time'
WHEN avg_yield < 85 THEN 'improve_yield'
WHEN start_hour BETWEEN 14 AND 16 AND avg_production_time > avg_planned_duration * 1.1 THEN 'avoid_afternoon_production'
ELSE null
END as recommendation_type,
(avg_production_time - avg_planned_duration) / avg_planned_duration * 100 as efficiency_loss_percent
FROM efficiency_analysis
)
SELECT * FROM recommendations
WHERE recommendation_type IS NOT NULL
AND efficiency_loss_percent > 10
ORDER BY efficiency_loss_percent DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get efficiency recommendations", error=str(e), tenant_id=str(tenant_id))
raise
async def get_energy_consumption_patterns(self, tenant_id: UUID) -> List[Dict[str, Any]]:
"""
Get energy consumption patterns for optimization analysis
Returns consumption by equipment and hour of day
"""
try:
query = text("""
SELECT
e.tenant_id, e.name as equipment_name, e.type,
AVG(ec.energy_consumption_kwh) as avg_energy,
EXTRACT(hour FROM ec.recorded_at) as hour_of_day,
COUNT(*) as readings_count
FROM equipment e
JOIN energy_consumption ec ON ec.equipment_id = e.id
WHERE ec.recorded_at > CURRENT_DATE - INTERVAL '30 days'
AND e.tenant_id = :tenant_id
GROUP BY e.tenant_id, e.id, e.name, e.type, EXTRACT(hour FROM ec.recorded_at)
HAVING COUNT(*) >= 10
ORDER BY avg_energy DESC
""")
result = await self.session.execute(query, {"tenant_id": tenant_id})
return [dict(row._mapping) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get energy consumption patterns", error=str(e), tenant_id=str(tenant_id))
raise
async def get_affected_production_batches(self, ingredient_id: str) -> List[str]:
"""
Get production batches affected by ingredient shortage
Returns batch IDs that use the specified ingredient
"""
try:
query = text("""
SELECT DISTINCT pb.id
FROM production_batches pb
JOIN recipe_ingredients ri ON ri.recipe_id = pb.recipe_id
WHERE ri.ingredient_id = :ingredient_id
AND pb.status = 'in_progress'
AND pb.planned_completion_time > NOW()
""")
result = await self.session.execute(query, {"ingredient_id": ingredient_id})
return [str(row.id) for row in result.fetchall()]
except Exception as e:
logger.error("Failed to get affected production batches", error=str(e), ingredient_id=ingredient_id)
raise
async def set_statement_timeout(self, timeout: str = '30s') -> None:
"""
Set PostgreSQL statement timeout for the current session
"""
try:
await self.session.execute(text(f"SET statement_timeout = '{timeout}'"))
except Exception as e:
logger.error("Failed to set statement timeout", error=str(e))
raise

146
services/production/app/repositories/production_batch_repository.py
View File

@@ -689,4 +689,148 @@ class ProductionBatchRepository(ProductionBaseRepository, BatchCountProvider):
except Exception as e:
logger.error("Error counting filtered batches", error=str(e))
raise DatabaseError(f"Failed to count filtered batches: {str(e)}")
raise DatabaseError(f"Failed to count filtered batches: {str(e)}")
async def get_waste_analytics(
self,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""
Get production waste analytics for sustainability reporting
Args:
tenant_id: Tenant UUID
start_date: Start date for analytics period
end_date: End date for analytics period
Returns:
Dictionary with waste analytics data
"""
try:
query = text("""
SELECT
COALESCE(SUM(waste_quantity), 0) as total_production_waste,
COALESCE(SUM(defect_quantity), 0) as total_defects,
COALESCE(SUM(planned_quantity), 0) as total_planned,
COALESCE(SUM(actual_quantity), 0) as total_actual,
COUNT(*) as total_batches,
COUNT(CASE WHEN forecast_id IS NOT NULL THEN 1 END) as ai_assisted_batches
FROM production_batches
WHERE tenant_id = :tenant_id
AND created_at BETWEEN :start_date AND :end_date
AND status IN ('COMPLETED', 'QUALITY_CHECK', 'FINISHED')
""")
result = await self.session.execute(
query,
{
'tenant_id': tenant_id,
'start_date': start_date,
'end_date': end_date
}
)
row = result.fetchone()
waste_data = {
'total_production_waste': float(row.total_production_waste or 0),
'total_defects': float(row.total_defects or 0),
'total_planned': float(row.total_planned or 0),
'total_actual': float(row.total_actual or 0),
'total_batches': int(row.total_batches or 0),
'ai_assisted_batches': int(row.ai_assisted_batches or 0)
}
logger.info(
"Waste analytics calculated",
tenant_id=str(tenant_id),
total_waste=waste_data['total_production_waste'],
batches=waste_data['total_batches']
)
return waste_data
except Exception as e:
logger.error("Error calculating waste analytics", error=str(e), tenant_id=str(tenant_id))
raise DatabaseError(f"Failed to calculate waste analytics: {str(e)}")
async def get_baseline_metrics(self, tenant_id: UUID) -> Dict[str, Any]:
"""
Get baseline production metrics from first 90 days
Used by sustainability service to establish waste baseline
for SDG 12.3 compliance tracking.
Args:
tenant_id: Tenant UUID
Returns:
Dictionary with baseline metrics data
"""
try:
query = text("""
WITH first_batch AS (
SELECT MIN(created_at) as start_date
FROM production_batches
WHERE tenant_id = :tenant_id
),
baseline_data AS (
SELECT
COALESCE(SUM(waste_quantity + defect_quantity), 0) as total_waste,
COALESCE(SUM(planned_quantity), 0) as total_production
FROM production_batches, first_batch
WHERE tenant_id = :tenant_id
AND created_at BETWEEN first_batch.start_date
AND first_batch.start_date + INTERVAL '90 days'
AND status IN ('COMPLETED', 'QUALITY_CHECK', 'FINISHED')
)
SELECT
total_waste,
total_production,
CASE
WHEN total_production > 0
THEN (total_waste / total_production * 100)
ELSE NULL
END as waste_percentage,
(SELECT start_date FROM first_batch) as baseline_start,
(SELECT start_date + INTERVAL '90 days' FROM first_batch) as baseline_end
FROM baseline_data
""")
result = await self.session.execute(query, {'tenant_id': tenant_id})
row = result.fetchone()
if row and row.waste_percentage is not None and row.total_production > 100:
# We have enough data for a real baseline
baseline_data = {
'waste_percentage': float(row.waste_percentage),
'total_waste': float(row.total_waste),
'total_production': float(row.total_production),
'baseline_start': row.baseline_start,
'baseline_end': row.baseline_end,
'has_baseline': True
}
else:
# Not enough data yet, return defaults
baseline_data = {
'waste_percentage': None,
'total_waste': 0,
'total_production': 0,
'baseline_start': None,
'baseline_end': None,
'has_baseline': False
}
logger.info(
"Baseline metrics calculated",
tenant_id=str(tenant_id),
has_baseline=baseline_data['has_baseline'],
waste_percentage=baseline_data.get('waste_percentage')
)
return baseline_data
except Exception as e:
logger.error("Error calculating baseline metrics", error=str(e), tenant_id=str(tenant_id))
raise DatabaseError(f"Failed to calculate baseline metrics: {str(e)}")

49
services/production/app/repositories/production_schedule_repository.py
View File

@@ -382,4 +382,51 @@ class ProductionScheduleRepository(ProductionBaseRepository):
except Exception as e:
logger.error("Error fetching today's schedule", error=str(e))
raise DatabaseError(f"Failed to fetch today's schedule: {str(e)}")
raise DatabaseError(f"Failed to fetch today's schedule: {str(e)}")
async def get_all_schedules_for_tenant(self, tenant_id: UUID) -> List[ProductionSchedule]:
"""Get all production schedules for a specific tenant"""
try:
from sqlalchemy import select
from app.models.production import ProductionSchedule
result = await self.session.execute(
select(ProductionSchedule).where(
ProductionSchedule.tenant_id == tenant_id
)
)
schedules = result.scalars().all()
logger.info("Retrieved all schedules for tenant",
tenant_id=str(tenant_id),
count=len(schedules))
return list(schedules)
except Exception as e:
logger.error("Error fetching all tenant schedules", error=str(e), tenant_id=str(tenant_id))
raise DatabaseError(f"Failed to fetch all tenant schedules: {str(e)}")
async def archive_schedule(self, schedule: ProductionSchedule) -> None:
"""Archive a production schedule"""
try:
schedule.archived = True
await self.session.commit()
logger.info("Archived schedule", schedule_id=str(schedule.id))
except Exception as e:
logger.error("Error archiving schedule", error=str(e), schedule_id=str(schedule.id))
raise DatabaseError(f"Failed to archive schedule: {str(e)}")
async def cancel_schedule(self, schedule: ProductionSchedule, reason: str = None) -> None:
"""Cancel a production schedule"""
try:
schedule.status = "cancelled"
if reason:
schedule.notes = (schedule.notes or "") + f"\n{reason}"
await self.session.commit()
logger.info("Cancelled schedule", schedule_id=str(schedule.id))
except Exception as e:
logger.error("Error cancelling schedule", error=str(e), schedule_id=str(schedule.id))
raise DatabaseError(f"Failed to cancel schedule: {str(e)}")

274
services/production/app/services/production_alert_service.py
View File

@@ -93,36 +93,18 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
try:
self._checks_performed += 1
# Use a simpler query with timeout and connection management
from sqlalchemy import text
simplified_query = text("""
SELECT
pb.tenant_id,
DATE(pb.planned_start_time) as planned_date,
COUNT(*) as batch_count,
SUM(pb.planned_quantity) as total_planned,
'capacity_check' as capacity_status,
100.0 as capacity_percentage -- Default value for processing
FROM production_batches pb
WHERE pb.planned_start_time >= CURRENT_DATE
AND pb.planned_start_time <= CURRENT_DATE + INTERVAL '3 days'
AND pb.status IN ('planned', 'in_progress')
GROUP BY pb.tenant_id, DATE(pb.planned_start_time)
HAVING COUNT(*) > 10 -- Alert if more than 10 batches per day
ORDER BY total_planned DESC
LIMIT 20 -- Limit results to prevent excessive processing
""")
# Use timeout and proper session handling
try:
from app.repositories.production_alert_repository import ProductionAlertRepository
async with self.db_manager.get_session() as session:
alert_repo = ProductionAlertRepository(session)
# Set statement timeout to prevent long-running queries
await session.execute(text("SET statement_timeout = '30s'"))
result = await session.execute(simplified_query)
capacity_issues = result.fetchall()
await alert_repo.set_statement_timeout('30s')
capacity_issues = await alert_repo.get_capacity_issues()
for issue in capacity_issues:
await self._process_capacity_issue(issue.tenant_id, issue)
await self._process_capacity_issue(issue['tenant_id'], issue)
except asyncio.TimeoutError:
logger.warning("Capacity check timed out", service=self.config.SERVICE_NAME)
@@ -203,36 +185,14 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
try:
self._checks_performed += 1
# Import text function at the beginning
from sqlalchemy import text
# Simplified query with timeout and proper error handling
query = text("""
SELECT
pb.id, pb.tenant_id, pb.product_name, pb.batch_number,
pb.planned_end_time as planned_completion_time, pb.actual_start_time,
pb.actual_end_time as estimated_completion_time, pb.status,
EXTRACT(minutes FROM (NOW() - pb.planned_end_time)) as delay_minutes,
COALESCE(pb.priority::text, 'medium') as priority_level,
1 as affected_orders -- Default to 1 since we can't count orders
FROM production_batches pb
WHERE pb.status = 'in_progress'
AND pb.planned_end_time < NOW()
AND pb.planned_end_time > NOW() - INTERVAL '24 hours'
ORDER BY
CASE COALESCE(pb.priority::text, 'MEDIUM')
WHEN 'URGENT' THEN 1 WHEN 'HIGH' THEN 2 ELSE 3
END,
delay_minutes DESC
LIMIT 50 -- Limit results to prevent excessive processing
""")
try:
from app.repositories.production_alert_repository import ProductionAlertRepository
async with self.db_manager.get_session() as session:
alert_repo = ProductionAlertRepository(session)
# Set statement timeout
await session.execute(text("SET statement_timeout = '30s'"))
result = await session.execute(query)
delays = result.fetchall()
await alert_repo.set_statement_timeout('30s')
delays = await alert_repo.get_production_delays()
for delay in delays:
await self._process_production_delay(delay)
@@ -300,44 +260,16 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
"""Check for quality control issues (alerts)"""
try:
self._checks_performed += 1
# Fixed query using actual quality_checks table structure
query = """
SELECT
qc.id, qc.tenant_id, qc.batch_id, qc.check_type as test_type,
qc.quality_score as result_value,
qc.target_weight as min_acceptable,
(qc.target_weight * (1 + qc.tolerance_percentage/100)) as max_acceptable,
CASE
WHEN qc.pass_fail = false AND qc.defect_count > 5 THEN 'critical'
WHEN qc.pass_fail = false THEN 'major'
ELSE 'minor'
END as qc_severity,
qc.created_at,
pb.product_name, pb.batch_number,
COUNT(*) OVER (PARTITION BY qc.batch_id) as total_failures
FROM quality_checks qc
JOIN production_batches pb ON pb.id = qc.batch_id
WHERE qc.pass_fail = false -- Use pass_fail instead of status
AND qc.created_at > NOW() - INTERVAL '4 hours'
AND qc.corrective_action_needed = true -- Use this instead of acknowledged
ORDER BY
CASE
WHEN qc.pass_fail = false AND qc.defect_count > 5 THEN 1
WHEN qc.pass_fail = false THEN 2
ELSE 3
END,
qc.created_at DESC
"""
from sqlalchemy import text
from app.repositories.production_alert_repository import ProductionAlertRepository
async with self.db_manager.get_session() as session:
result = await session.execute(text(query))
quality_issues = result.fetchall()
alert_repo = ProductionAlertRepository(session)
quality_issues = await alert_repo.get_quality_issues()
for issue in quality_issues:
await self._process_quality_issue(issue)
except Exception as e:
# Skip quality checks if tables don't exist (graceful degradation)
if "does not exist" in str(e) or "column" in str(e).lower() and "does not exist" in str(e).lower():
@@ -380,16 +312,14 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
# Mark as acknowledged to avoid duplicates - using proper session management
try:
from sqlalchemy import text
from app.repositories.production_alert_repository import ProductionAlertRepository
async with self.db_manager.get_session() as session:
await session.execute(
text("UPDATE quality_checks SET acknowledged = true WHERE id = :id"),
{"id": issue['id']}
)
await session.commit()
alert_repo = ProductionAlertRepository(session)
await alert_repo.mark_quality_check_acknowledged(issue['id'])
except Exception as e:
logger.error("Failed to update quality check acknowledged status",
quality_check_id=str(issue.get('id')),
logger.error("Failed to update quality check acknowledged status",
quality_check_id=str(issue.get('id')),
error=str(e))
# Don't raise here to avoid breaking the main flow
@@ -402,49 +332,28 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
"""Check equipment status and maintenance requirements (alerts)"""
try:
self._checks_performed += 1
# Query equipment that needs attention
query = """
SELECT
e.id, e.tenant_id, e.name, e.type, e.status,
e.efficiency_percentage, e.uptime_percentage,
e.last_maintenance_date, e.next_maintenance_date,
e.maintenance_interval_days,
EXTRACT(DAYS FROM (e.next_maintenance_date - NOW())) as days_to_maintenance,
COUNT(ea.id) as active_alerts
FROM equipment e
LEFT JOIN alerts ea ON ea.equipment_id = e.id
AND ea.is_active = true
AND ea.is_resolved = false
WHERE e.is_active = true
AND e.tenant_id = $1
GROUP BY e.id, e.tenant_id, e.name, e.type, e.status,
e.efficiency_percentage, e.uptime_percentage,
e.last_maintenance_date, e.next_maintenance_date,
e.maintenance_interval_days
ORDER BY e.next_maintenance_date ASC
"""
from app.repositories.production_alert_repository import ProductionAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
# Use a separate session for each tenant to avoid connection blocking
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
equipment_list = result.fetchall()
alert_repo = ProductionAlertRepository(session)
equipment_list = await alert_repo.get_equipment_status(tenant_id)
for equipment in equipment_list:
# Process each equipment item in a non-blocking manner
await self._process_equipment_issue(equipment)
except Exception as e:
logger.error("Error checking equipment status",
tenant_id=str(tenant_id),
logger.error("Error checking equipment status",
tenant_id=str(tenant_id),
error=str(e))
# Continue processing other tenants despite this error
except Exception as e:
logger.error("Equipment status check failed", error=str(e))
self._errors_count += 1
@@ -530,61 +439,28 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
"""Generate production efficiency recommendations"""
try:
self._checks_performed += 1
# Analyze production patterns for efficiency opportunities
query = """
WITH efficiency_analysis AS (
SELECT
pb.tenant_id, pb.product_name,
AVG(EXTRACT(minutes FROM (pb.actual_completion_time - pb.actual_start_time))) as avg_production_time,
AVG(pb.planned_duration_minutes) as avg_planned_duration,
COUNT(*) as batch_count,
AVG(pb.yield_percentage) as avg_yield,
EXTRACT(hour FROM pb.actual_start_time) as start_hour
FROM production_batches pb
WHERE pb.status = 'COMPLETED'
AND pb.actual_completion_time > CURRENT_DATE - INTERVAL '30 days'
AND pb.tenant_id = $1
GROUP BY pb.tenant_id, pb.product_name, EXTRACT(hour FROM pb.actual_start_time)
HAVING COUNT(*) >= 3
),
recommendations AS (
SELECT *,
CASE
WHEN avg_production_time > avg_planned_duration * 1.2 THEN 'reduce_production_time'
WHEN avg_yield < 85 THEN 'improve_yield'
WHEN start_hour BETWEEN 14 AND 16 AND avg_production_time > avg_planned_duration * 1.1 THEN 'avoid_afternoon_production'
ELSE null
END as recommendation_type,
(avg_production_time - avg_planned_duration) / avg_planned_duration * 100 as efficiency_loss_percent
FROM efficiency_analysis
)
SELECT * FROM recommendations
WHERE recommendation_type IS NOT NULL
AND efficiency_loss_percent > 10
ORDER BY efficiency_loss_percent DESC
"""
from app.repositories.production_alert_repository import ProductionAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
# Use a separate session per tenant to avoid connection blocking
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
recommendations = result.fetchall()
alert_repo = ProductionAlertRepository(session)
recommendations = await alert_repo.get_efficiency_recommendations(tenant_id)
for rec in recommendations:
# Process each recommendation individually
await self._generate_efficiency_recommendation(tenant_id, rec)
except Exception as e:
logger.error("Error generating efficiency recommendations",
tenant_id=str(tenant_id),
logger.error("Error generating efficiency recommendations",
tenant_id=str(tenant_id),
error=str(e))
# Continue with other tenants despite this error
except Exception as e:
logger.error("Efficiency recommendations failed", error=str(e))
self._errors_count += 1
@@ -659,41 +535,26 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
async def generate_energy_recommendations(self):
"""Generate energy optimization recommendations"""
try:
# Analyze energy consumption patterns
query = """
SELECT
e.tenant_id, e.name as equipment_name, e.type,
AVG(ec.energy_consumption_kwh) as avg_energy,
EXTRACT(hour FROM ec.recorded_at) as hour_of_day,
COUNT(*) as readings_count
FROM equipment e
JOIN energy_consumption ec ON ec.equipment_id = e.id
WHERE ec.recorded_at > CURRENT_DATE - INTERVAL '30 days'
AND e.tenant_id = $1
GROUP BY e.tenant_id, e.id, EXTRACT(hour FROM ec.recorded_at)
HAVING COUNT(*) >= 10
ORDER BY avg_energy DESC
"""
from app.repositories.production_alert_repository import ProductionAlertRepository
tenants = await self.get_active_tenants()
for tenant_id in tenants:
try:
from sqlalchemy import text
# Use a separate session per tenant to avoid connection blocking
async with self.db_manager.get_session() as session:
result = await session.execute(text(query), {"tenant_id": tenant_id})
energy_data = result.fetchall()
alert_repo = ProductionAlertRepository(session)
energy_data = await alert_repo.get_energy_consumption_patterns(tenant_id)
# Analyze for peak hours and optimization opportunities
await self._analyze_energy_patterns(tenant_id, energy_data)
except Exception as e:
logger.error("Error generating energy recommendations",
tenant_id=str(tenant_id),
logger.error("Error generating energy recommendations",
tenant_id=str(tenant_id),
error=str(e))
# Continue with other tenants despite this error
except Exception as e:
logger.error("Energy recommendations failed", error=str(e))
self._errors_count += 1
@@ -839,23 +700,14 @@ class ProductionAlertService(BaseAlertService, AlertServiceMixin):
async def get_affected_production_batches(self, ingredient_id: str) -> List[str]:
"""Get production batches affected by ingredient shortage"""
try:
query = """
SELECT DISTINCT pb.id
FROM production_batches pb
JOIN recipe_ingredients ri ON ri.recipe_id = pb.recipe_id
WHERE ri.ingredient_id = $1
AND pb.status = 'in_progress'
AND pb.planned_completion_time > NOW()
"""
from sqlalchemy import text
from app.repositories.production_alert_repository import ProductionAlertRepository
async with self.db_manager.get_session() as session:
result_rows = await session.execute(text(query), {"ingredient_id": ingredient_id})
result = result_rows.fetchall()
return [str(row['id']) for row in result]
alert_repo = ProductionAlertRepository(session)
return await alert_repo.get_affected_production_batches(ingredient_id)
except Exception as e:
logger.error("Error getting affected production batches",
ingredient_id=ingredient_id,
logger.error("Error getting affected production batches",
ingredient_id=ingredient_id,
error=str(e))
return []

33
services/production/app/services/production_scheduler_service.py
View File

@@ -284,18 +284,10 @@ class ProductionSchedulerService(BaseAlertService, AlertServiceMixin):
async def _get_schedule_by_date(self, session, tenant_id: UUID, schedule_date: date) -> Optional[Dict]:
"""Check if production schedule exists for date"""
try:
from sqlalchemy import select, and_
from app.models.production import ProductionSchedule
from app.repositories.production_schedule_repository import ProductionScheduleRepository
result = await session.execute(
select(ProductionSchedule).where(
and_(
ProductionSchedule.tenant_id == tenant_id,
ProductionSchedule.schedule_date == schedule_date
)
)
)
schedule = result.scalars().first()
schedule_repo = ProductionScheduleRepository(session)
schedule = await schedule_repo.get_schedule_by_date(str(tenant_id), schedule_date)
if schedule:
return {"id": schedule.id, "status": schedule.status}
@@ -386,32 +378,27 @@ class ProductionSchedulerService(BaseAlertService, AlertServiceMixin):
stats = {"archived": 0, "cancelled": 0, "escalated": 0}
try:
from app.repositories.production_schedule_repository import ProductionScheduleRepository
async with self.db_manager.get_session() as session:
from sqlalchemy import select, and_
from app.models.production import ProductionSchedule
schedule_repo = ProductionScheduleRepository(session)
today = date.today()
# Get all schedules for tenant
result = await session.execute(
select(ProductionSchedule).where(
ProductionSchedule.tenant_id == tenant_id
)
)
schedules = result.scalars().all()
schedules = await schedule_repo.get_all_schedules_for_tenant(tenant_id)
for schedule in schedules:
schedule_age_days = (today - schedule.schedule_date).days
# Archive completed schedules older than 90 days
if schedule.status == "completed" and schedule_age_days > 90:
schedule.archived = True
await schedule_repo.archive_schedule(schedule)
stats["archived"] += 1
# Cancel draft schedules older than 7 days
elif schedule.status == "draft" and schedule_age_days > 7:
schedule.status = "cancelled"
schedule.notes = (schedule.notes or "") + "\nAuto-cancelled: stale draft schedule"
await schedule_repo.cancel_schedule(schedule, "Auto-cancelled: stale draft schedule")
stats["cancelled"] += 1
# Escalate overdue schedules
@@ -419,8 +406,6 @@ class ProductionSchedulerService(BaseAlertService, AlertServiceMixin):
await self._send_schedule_escalation_alert(tenant_id, schedule.id)
stats["escalated"] += 1
await session.commit()
except Exception as e:
logger.error("Error in tenant schedule cleanup",
tenant_id=str(tenant_id), error=str(e))

96
services/production/app/services/production_service.py
View File

@@ -1528,4 +1528,100 @@ class ProductionService:
except Exception as e:
logger.error("Error deleting equipment",
error=str(e), equipment_id=str(equipment_id), tenant_id=str(tenant_id))
raise
# ================================================================
# SUSTAINABILITY / WASTE ANALYTICS
# ================================================================
async def get_waste_analytics(
self,
tenant_id: UUID,
start_date: datetime,
end_date: datetime
) -> Dict[str, Any]:
"""
Get production waste analytics for sustainability tracking
Called by Inventory Service's sustainability module
to calculate environmental impact and SDG 12.3 compliance.
"""
try:
async with self.database_manager.get_session() as session:
from app.repositories.production_batch_repository import ProductionBatchRepository
# Use repository for waste analytics
batch_repo = ProductionBatchRepository(session)
waste_data = await batch_repo.get_waste_analytics(
tenant_id=tenant_id,
start_date=start_date,
end_date=end_date
)
return waste_data
except Exception as e:
logger.error(
"Error calculating waste analytics",
tenant_id=str(tenant_id),
error=str(e)
)
raise
async def get_baseline_metrics(self, tenant_id: UUID) -> Dict[str, Any]:
"""
Get baseline production metrics from first 90 days
Used by sustainability service to establish waste baseline
for SDG 12.3 compliance tracking.
"""
try:
async with self.database_manager.get_session() as session:
from app.repositories.production_batch_repository import ProductionBatchRepository
# Use repository for baseline metrics
batch_repo = ProductionBatchRepository(session)
baseline_raw = await batch_repo.get_baseline_metrics(tenant_id)
# Transform repository data to match expected format
if baseline_raw['has_baseline']:
baseline_data = {
'waste_percentage': baseline_raw['waste_percentage'],
'total_production_kg': baseline_raw['total_production'],
'total_waste_kg': baseline_raw['total_waste'],
'period': {
'start_date': baseline_raw['baseline_start'].isoformat() if baseline_raw['baseline_start'] else None,
'end_date': baseline_raw['baseline_end'].isoformat() if baseline_raw['baseline_end'] else None,
'type': 'first_90_days'
},
'data_available': True
}
else:
# Not enough data yet - return indicator
baseline_data = {
'waste_percentage': 25.0, # EU bakery industry average
'total_production_kg': 0,
'total_waste_kg': 0,
'period': {
'type': 'industry_average',
'note': 'Using EU bakery industry average of 25% as baseline'
},
'data_available': False
}
logger.info(
"Baseline metrics retrieved",
tenant_id=str(tenant_id),
waste_percentage=baseline_data['waste_percentage'],
data_available=baseline_data['data_available']
)
return baseline_data
except Exception as e:
logger.error(
"Error getting baseline metrics",
tenant_id=str(tenant_id),
error=str(e)
)
raise

521
services/production/app/services/quality_template_service.py
View File

@@ -1,56 +1,82 @@
# services/production/app/services/quality_template_service.py
"""
Quality Check Template Service for business logic and data operations
Quality Check Template Service - Business Logic Layer
Handles quality template operations with business rules and validation
"""
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_, func
from sqlalchemy.ext.asyncio import AsyncSession
from typing import List, Optional, Tuple
from uuid import UUID, uuid4
from datetime import datetime, timezone
import structlog
from ..models.production import QualityCheckTemplate, ProcessStage
from ..schemas.quality_templates import QualityCheckTemplateCreate, QualityCheckTemplateUpdate
from app.models.production import QualityCheckTemplate, ProcessStage
from app.schemas.quality_templates import QualityCheckTemplateCreate, QualityCheckTemplateUpdate
from app.repositories.quality_template_repository import QualityTemplateRepository
logger = structlog.get_logger()
class QualityTemplateService:
"""Service for managing quality check templates"""
"""Service for managing quality check templates with business logic"""
def __init__(self, db: Session):
def __init__(self, db: AsyncSession):
self.db = db
self.repository = QualityTemplateRepository(db)
def create_template(
async def create_template(
self,
tenant_id: str,
template_data: QualityCheckTemplateCreate
) -> QualityCheckTemplate:
"""Create a new quality check template"""
"""
Create a new quality check template
# Validate template code uniqueness if provided
if template_data.template_code:
existing = self.db.query(QualityCheckTemplate).filter(
and_(
QualityCheckTemplate.tenant_id == tenant_id,
QualityCheckTemplate.template_code == template_data.template_code
Business Rules:
- Template code must be unique within tenant
- Validates template configuration
"""
try:
# Business Rule: Validate template code uniqueness
if template_data.template_code:
exists = await self.repository.check_template_code_exists(
tenant_id,
template_data.template_code
)
).first()
if existing:
raise ValueError(f"Template code '{template_data.template_code}' already exists")
if exists:
raise ValueError(f"Template code '{template_data.template_code}' already exists")
# Create template
template = QualityCheckTemplate(
id=uuid4(),
tenant_id=UUID(tenant_id),
**template_data.dict()
)
# Business Rule: Validate template configuration
is_valid, errors = self._validate_template_configuration(template_data.dict())
if not is_valid:
raise ValueError(f"Invalid template configuration: {', '.join(errors)}")
self.db.add(template)
self.db.commit()
self.db.refresh(template)
# Create template via repository
template_dict = template_data.dict()
template_dict['id'] = uuid4()
template_dict['tenant_id'] = UUID(tenant_id)
return template
template = await self.repository.create(template_dict)
def get_templates(
logger.info("Quality template created",
template_id=str(template.id),
tenant_id=tenant_id,
template_code=template.template_code)
return template
except ValueError as e:
logger.warning("Template creation validation failed",
tenant_id=tenant_id,
error=str(e))
raise
except Exception as e:
logger.error("Failed to create quality template",
tenant_id=tenant_id,
error=str(e))
raise
async def get_templates(
self,
tenant_id: str,
stage: Optional[ProcessStage] = None,
@@ -59,225 +85,349 @@ class QualityTemplateService:
skip: int = 0,
limit: int = 100
) -> Tuple[List[QualityCheckTemplate], int]:
"""Get quality check templates with filtering and pagination"""
"""
Get quality check templates with filtering and pagination
query = self.db.query(QualityCheckTemplate).filter(
QualityCheckTemplate.tenant_id == tenant_id
)
Business Rules:
- Default to active templates only
- Limit maximum results per page
"""
try:
# Business Rule: Enforce maximum limit
if limit > 1000:
limit = 1000
logger.warning("Template list limit capped at 1000",
tenant_id=tenant_id,
requested_limit=limit)
# Apply filters
if is_active is not None:
query = query.filter(QualityCheckTemplate.is_active == is_active)
if check_type:
query = query.filter(QualityCheckTemplate.check_type == check_type)
if stage:
# Filter by applicable stages (JSON array contains stage)
query = query.filter(
func.json_contains(
QualityCheckTemplate.applicable_stages,
f'"{stage.value}"'
)
templates, total = await self.repository.get_templates_by_tenant(
tenant_id=tenant_id,
stage=stage,
check_type=check_type,
is_active=is_active,
skip=skip,
limit=limit
)
# Get total count
total = query.count()
logger.debug("Retrieved quality templates",
tenant_id=tenant_id,
total=total,
returned=len(templates))
# Apply pagination and ordering
templates = query.order_by(
QualityCheckTemplate.is_critical.desc(),
QualityCheckTemplate.is_required.desc(),
QualityCheckTemplate.name
).offset(skip).limit(limit).all()
return templates, total
return templates, total
except Exception as e:
logger.error("Failed to get quality templates",
tenant_id=tenant_id,
error=str(e))
raise
def get_template(
async def get_template(
self,
tenant_id: str,
template_id: UUID
) -> Optional[QualityCheckTemplate]:
"""Get a specific quality check template"""
"""
Get a specific quality check template
return self.db.query(QualityCheckTemplate).filter(
and_(
QualityCheckTemplate.tenant_id == tenant_id,
QualityCheckTemplate.id == template_id
)
).first()
Business Rules:
- Template must belong to tenant
"""
try:
template = await self.repository.get_by_tenant_and_id(tenant_id, template_id)
def update_template(
if template:
logger.debug("Retrieved quality template",
template_id=str(template_id),
tenant_id=tenant_id)
else:
logger.warning("Quality template not found",
template_id=str(template_id),
tenant_id=tenant_id)
return template
except Exception as e:
logger.error("Failed to get quality template",
template_id=str(template_id),
tenant_id=tenant_id,
error=str(e))
raise
async def update_template(
self,
tenant_id: str,
template_id: UUID,
template_data: QualityCheckTemplateUpdate
) -> Optional[QualityCheckTemplate]:
"""Update a quality check template"""
"""
Update a quality check template
template = self.get_template(tenant_id, template_id)
if not template:
return None
Business Rules:
- Template must exist and belong to tenant
- Template code must remain unique if changed
- Validates updated configuration
"""
try:
# Business Rule: Template must exist
template = await self.repository.get_by_tenant_and_id(tenant_id, template_id)
if not template:
logger.warning("Cannot update non-existent template",
template_id=str(template_id),
tenant_id=tenant_id)
return None
# Validate template code uniqueness if being updated
if template_data.template_code and template_data.template_code != template.template_code:
existing = self.db.query(QualityCheckTemplate).filter(
and_(
QualityCheckTemplate.tenant_id == tenant_id,
QualityCheckTemplate.template_code == template_data.template_code,
QualityCheckTemplate.id != template_id
# Business Rule: Validate template code uniqueness if being updated
if template_data.template_code and template_data.template_code != template.template_code:
exists = await self.repository.check_template_code_exists(
tenant_id,
template_data.template_code,
exclude_id=template_id
)
).first()
if existing:
raise ValueError(f"Template code '{template_data.template_code}' already exists")
if exists:
raise ValueError(f"Template code '{template_data.template_code}' already exists")
# Update fields
update_data = template_data.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(template, field, value)
# Business Rule: Validate updated configuration
update_dict = template_data.dict(exclude_unset=True)
if update_dict:
# Merge with existing data for validation
full_data = template.__dict__.copy()
full_data.update(update_dict)
is_valid, errors = self._validate_template_configuration(full_data)
if not is_valid:
raise ValueError(f"Invalid template configuration: {', '.join(errors)}")
template.updated_at = datetime.now(timezone.utc)
# Update via repository
update_dict['updated_at'] = datetime.now(timezone.utc)
updated_template = await self.repository.update(template_id, update_dict)
self.db.commit()
self.db.refresh(template)
logger.info("Quality template updated",
template_id=str(template_id),
tenant_id=tenant_id)
return template
return updated_template
def delete_template(
except ValueError as e:
logger.warning("Template update validation failed",
template_id=str(template_id),
tenant_id=tenant_id,
error=str(e))
raise
except Exception as e:
logger.error("Failed to update quality template",
template_id=str(template_id),
tenant_id=tenant_id,
error=str(e))
raise
async def delete_template(
self,
tenant_id: str,
template_id: UUID
) -> bool:
"""Delete a quality check template"""
"""
Delete a quality check template
template = self.get_template(tenant_id, template_id)
if not template:
return False
Business Rules:
- Template must exist and belong to tenant
- Consider soft delete for audit trail (future enhancement)
"""
try:
# Business Rule: Template must exist
template = await self.repository.get_by_tenant_and_id(tenant_id, template_id)
if not template:
logger.warning("Cannot delete non-existent template",
template_id=str(template_id),
tenant_id=tenant_id)
return False
# Check if template is in use (you might want to add this check)
# For now, we'll allow deletion but in production you might want to:
# 1. Soft delete by setting is_active = False
# 2. Check for dependent quality checks
# 3. Prevent deletion if in use
# TODO: Business Rule - Check if template is in use before deletion
# For now, allow deletion. In production you might want to:
# 1. Soft delete by setting is_active = False
# 2. Check for dependent quality checks
# 3. Prevent deletion if actively used
self.db.delete(template)
self.db.commit()
success = await self.repository.delete(template_id)
return True
if success:
logger.info("Quality template deleted",
template_id=str(template_id),
tenant_id=tenant_id)
else:
logger.warning("Failed to delete quality template",
template_id=str(template_id),
tenant_id=tenant_id)
def get_templates_for_stage(
return success
except Exception as e:
logger.error("Failed to delete quality template",
template_id=str(template_id),
tenant_id=tenant_id,
error=str(e))
raise
async def get_templates_for_stage(
self,
tenant_id: str,
stage: ProcessStage,
is_active: Optional[bool] = True
) -> List[QualityCheckTemplate]:
"""Get all quality check templates applicable to a specific process stage"""
"""
Get all quality check templates applicable to a specific process stage
query = self.db.query(QualityCheckTemplate).filter(
and_(
QualityCheckTemplate.tenant_id == tenant_id,
or_(
# Templates that specify applicable stages
func.json_contains(
QualityCheckTemplate.applicable_stages,
f'"{stage.value}"'
),
# Templates that don't specify stages (applicable to all)
QualityCheckTemplate.applicable_stages.is_(None)
)
Business Rules:
- Returns templates ordered by criticality
- Required templates come first
"""
try:
templates = await self.repository.get_templates_for_stage(
tenant_id=tenant_id,
stage=stage,
is_active=is_active
)
)
if is_active is not None:
query = query.filter(QualityCheckTemplate.is_active == is_active)
logger.debug("Retrieved templates for stage",
tenant_id=tenant_id,
stage=stage.value,
count=len(templates))
return query.order_by(
QualityCheckTemplate.is_critical.desc(),
QualityCheckTemplate.is_required.desc(),
QualityCheckTemplate.weight.desc(),
QualityCheckTemplate.name
).all()
return templates
def duplicate_template(
except Exception as e:
logger.error("Failed to get templates for stage",
tenant_id=tenant_id,
stage=stage.value if stage else None,
error=str(e))
raise
async def duplicate_template(
self,
tenant_id: str,
template_id: UUID
) -> Optional[QualityCheckTemplate]:
"""Duplicate an existing quality check template"""
"""
Duplicate an existing quality check template
original = self.get_template(tenant_id, template_id)
if not original:
return None
Business Rules:
- Original template must exist
- Duplicate gets modified name and code
- All other attributes copied
"""
try:
# Business Rule: Original must exist
original = await self.repository.get_by_tenant_and_id(tenant_id, template_id)
if not original:
logger.warning("Cannot duplicate non-existent template",
template_id=str(template_id),
tenant_id=tenant_id)
return None
# Create duplicate with modified name and code
duplicate_data = {
'name': f"{original.name} (Copy)",
'template_code': f"{original.template_code}_copy" if original.template_code else None,
'check_type': original.check_type,
'category': original.category,
'description': original.description,
'instructions': original.instructions,
'parameters': original.parameters,
'thresholds': original.thresholds,
'scoring_criteria': original.scoring_criteria,
'is_active': original.is_active,
'is_required': original.is_required,
'is_critical': original.is_critical,
'weight': original.weight,
'min_value': original.min_value,
'max_value': original.max_value,
'target_value': original.target_value,
'unit': original.unit,
'tolerance_percentage': original.tolerance_percentage,
'applicable_stages': original.applicable_stages,
'created_by': original.created_by
}
# Business Rule: Create duplicate with modified identifiers
duplicate_data = {
'name': f"{original.name} (Copy)",
'template_code': f"{original.template_code}_copy" if original.template_code else None,
'check_type': original.check_type,
'category': original.category,
'description': original.description,
'instructions': original.instructions,
'parameters': original.parameters,
'thresholds': original.thresholds,
'scoring_criteria': original.scoring_criteria,
'is_active': original.is_active,
'is_required': original.is_required,
'is_critical': original.is_critical,
'weight': original.weight,
'min_value': original.min_value,
'max_value': original.max_value,
'target_value': original.target_value,
'unit': original.unit,
'tolerance_percentage': original.tolerance_percentage,
'applicable_stages': original.applicable_stages,
'created_by': original.created_by
}
create_data = QualityCheckTemplateCreate(**duplicate_data)
return self.create_template(tenant_id, create_data)
create_data = QualityCheckTemplateCreate(**duplicate_data)
duplicate = await self.create_template(tenant_id, create_data)
def get_templates_by_recipe_config(
logger.info("Quality template duplicated",
original_id=str(template_id),
duplicate_id=str(duplicate.id),
tenant_id=tenant_id)
return duplicate
except Exception as e:
logger.error("Failed to duplicate quality template",
template_id=str(template_id),
tenant_id=tenant_id,
error=str(e))
raise
async def get_templates_by_recipe_config(
self,
tenant_id: str,
stage: ProcessStage,
recipe_quality_config: dict
) -> List[QualityCheckTemplate]:
"""Get quality check templates based on recipe configuration"""
"""
Get quality check templates based on recipe configuration
# Extract template IDs from recipe configuration for the specific stage
stage_config = recipe_quality_config.get('stages', {}).get(stage.value)
if not stage_config:
return []
Business Rules:
- Returns only active templates
- Filters by template IDs specified in recipe config
- Ordered by criticality
"""
try:
# Business Rule: Extract template IDs from recipe config
stage_config = recipe_quality_config.get('stages', {}).get(stage.value)
if not stage_config:
logger.debug("No quality config for stage",
tenant_id=tenant_id,
stage=stage.value)
return []
template_ids = stage_config.get('template_ids', [])
if not template_ids:
return []
template_ids = stage_config.get('template_ids', [])
if not template_ids:
logger.debug("No template IDs in config",
tenant_id=tenant_id,
stage=stage.value)
return []
# Get templates by IDs
templates = self.db.query(QualityCheckTemplate).filter(
and_(
QualityCheckTemplate.tenant_id == tenant_id,
QualityCheckTemplate.id.in_([UUID(tid) for tid in template_ids]),
QualityCheckTemplate.is_active == True
)
).order_by(
QualityCheckTemplate.is_critical.desc(),
QualityCheckTemplate.is_required.desc(),
QualityCheckTemplate.weight.desc()
).all()
# Get templates by IDs via repository
template_ids_uuid = [UUID(tid) for tid in template_ids]
templates = await self.repository.get_templates_by_ids(tenant_id, template_ids_uuid)
return templates
logger.debug("Retrieved templates by recipe config",
tenant_id=tenant_id,
stage=stage.value,
count=len(templates))
def validate_template_configuration(
return templates
except Exception as e:
logger.error("Failed to get templates by recipe config",
tenant_id=tenant_id,
stage=stage.value if stage else None,
error=str(e))
raise
def _validate_template_configuration(
self,
tenant_id: str,
template_data: dict
) -> Tuple[bool, List[str]]:
"""Validate quality check template configuration"""
"""
Validate quality check template configuration (business rules)
Business Rules:
- Measurement checks require unit
- Min value must be less than max value
- Visual checks require scoring criteria
- Process stages must be valid
"""
errors = []
# Validate check type specific requirements
# Business Rule: Type-specific validation
check_type = template_data.get('check_type')
if check_type in ['measurement', 'temperature', 'weight']:
@@ -290,12 +440,12 @@ class QualityTemplateService:
if min_val is not None and max_val is not None and min_val >= max_val:
errors.append("Minimum value must be less than maximum value")
# Validate scoring criteria
# Business Rule: Visual checks need scoring criteria
scoring = template_data.get('scoring_criteria', {})
if check_type == 'visual' and not scoring:
errors.append("Visual checks require scoring criteria")
# Validate process stages
# Business Rule: Validate process stages
stages = template_data.get('applicable_stages', [])
if stages:
valid_stages = [stage.value for stage in ProcessStage]
@@ -303,4 +453,11 @@ class QualityTemplateService:
if invalid_stages:
errors.append(f"Invalid process stages: {invalid_stages}")
return len(errors) == 0, errors
is_valid = len(errors) == 0
if not is_valid:
logger.warning("Template configuration validation failed",
check_type=check_type,
errors=errors)
return is_valid, errors

28
services/recipes/app/api/recipes.py
View File

@@ -188,6 +188,34 @@ async def update_recipe(
raise HTTPException(status_code=500, detail="Internal server error")
@router.get(
route_builder.build_custom_route(RouteCategory.BASE, ["count"]),
response_model=dict
)
async def count_recipes(
tenant_id: UUID,
db: AsyncSession = Depends(get_db)
):
"""Get count of recipes for a tenant"""
try:
recipe_service = RecipeService(db)
# Use the search method with limit 0 to just get the count
recipes = await recipe_service.search_recipes(
tenant_id=tenant_id,
limit=10000 # High limit to get all
)
count = len(recipes)
logger.info(f"Retrieved recipe count for tenant {tenant_id}: {count}")
return {"count": count}
except Exception as e:
logger.error(f"Error counting recipes for tenant {tenant_id}: {e}")
raise HTTPException(status_code=500, detail="Internal server error")
@router.delete(
route_builder.build_custom_route(RouteCategory.BASE, ["{recipe_id}"])
)

29
services/suppliers/app/api/suppliers.py
View File

@@ -207,6 +207,35 @@ async def delete_supplier(
raise HTTPException(status_code=500, detail="Failed to delete supplier")
@router.get(
route_builder.build_base_route("suppliers/count"),
response_model=dict
)
async def count_suppliers(
tenant_id: str = Path(..., description="Tenant ID"),
db: AsyncSession = Depends(get_db)
):
"""Get count of suppliers for a tenant"""
try:
service = SupplierService(db)
# Use search with high limit to get all suppliers
search_params = SupplierSearchParams(limit=10000)
suppliers = await service.search_suppliers(
tenant_id=UUID(tenant_id),
search_params=search_params
)
count = len(suppliers)
logger.info("Retrieved supplier count", tenant_id=tenant_id, count=count)
return {"count": count}
except Exception as e:
logger.error("Error counting suppliers", tenant_id=tenant_id, error=str(e))
raise HTTPException(status_code=500, detail="Failed to count suppliers")
@router.get(
route_builder.build_resource_action_route("suppliers", "supplier_id", "products"),
response_model=List[Dict[str, Any]]

23
services/tenant/app/api/tenant_operations.py
View File

@@ -26,6 +26,7 @@ from shared.routing.route_builder import RouteBuilder
from shared.database.base import create_database_manager
from shared.monitoring.metrics import track_endpoint_metrics
from shared.security import create_audit_logger, AuditSeverity, AuditAction
from shared.config.base import is_internal_service
logger = structlog.get_logger()
router = APIRouter()
@@ -64,7 +65,22 @@ def get_subscription_limit_service():
try:
from app.core.config import settings
database_manager = create_database_manager(settings.DATABASE_URL, "tenant-service")
redis_client = get_tenant_redis_client()
# Get Redis client properly (it's an async function)
import asyncio
try:
# Try to get the event loop, if we're in an async context
loop = asyncio.get_event_loop()
if loop.is_running():
# If we're in a running event loop, we can't use await here
# So we'll pass None and handle Redis initialization in the service
redis_client = None
else:
redis_client = asyncio.run(get_tenant_redis_client())
except RuntimeError:
# No event loop running, we can use async/await
redis_client = asyncio.run(get_tenant_redis_client())
return SubscriptionLimitService(database_manager, redis_client)
except Exception as e:
logger.error("Failed to create subscription limit service", error=str(e))
@@ -204,9 +220,10 @@ async def verify_tenant_access(
):
"""Verify if user has access to tenant - Enhanced version with detailed permissions"""
# Check if this is a service request
if user_id in ["training-service", "data-service", "forecasting-service", "auth-service"]:
# Check if this is an internal service request using centralized registry
if is_internal_service(user_id):
# Services have access to all tenants for their operations
logger.info("Service access granted", service=user_id, tenant_id=str(tenant_id))
return TenantAccessResponse(
has_access=True,
role="service",

186
services/tenant/app/api/tenant_settings.py Normal file
View File

@@ -0,0 +1,186 @@
# services/tenant/app/api/tenant_settings.py
"""
Tenant Settings API Endpoints
REST API for managing tenant-specific operational settings
"""
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from uuid import UUID
from typing import Dict, Any
from app.core.database import get_db
from shared.routing.route_builder import RouteBuilder
from ..services.tenant_settings_service import TenantSettingsService
from ..schemas.tenant_settings import (
TenantSettingsResponse,
TenantSettingsUpdate,
CategoryUpdateRequest,
CategoryResetResponse
)
router = APIRouter()
route_builder = RouteBuilder("tenants")
@router.get(
"/{tenant_id}/settings",
response_model=TenantSettingsResponse,
summary="Get all tenant settings",
description="Retrieve all operational settings for a tenant. Creates default settings if none exist."
)
async def get_tenant_settings(
tenant_id: UUID,
db: AsyncSession = Depends(get_db)
):
"""
Get all settings for a tenant
- **tenant_id**: UUID of the tenant
Returns all setting categories with their current values.
If settings don't exist, default values are created and returned.
"""
service = TenantSettingsService(db)
settings = await service.get_settings(tenant_id)
return settings
@router.put(
"/{tenant_id}/settings",
response_model=TenantSettingsResponse,
summary="Update tenant settings",
description="Update one or more setting categories for a tenant. Only provided categories are updated."
)
async def update_tenant_settings(
tenant_id: UUID,
updates: TenantSettingsUpdate,
db: AsyncSession = Depends(get_db)
):
"""
Update tenant settings
- **tenant_id**: UUID of the tenant
- **updates**: Object containing setting categories to update
Only provided categories will be updated. Omitted categories remain unchanged.
All values are validated against min/max constraints.
"""
service = TenantSettingsService(db)
settings = await service.update_settings(tenant_id, updates)
return settings
@router.get(
"/{tenant_id}/settings/{category}",
response_model=Dict[str, Any],
summary="Get settings for a specific category",
description="Retrieve settings for a single category (procurement, inventory, production, supplier, pos, or order)"
)
async def get_category_settings(
tenant_id: UUID,
category: str,
db: AsyncSession = Depends(get_db)
):
"""
Get settings for a specific category
- **tenant_id**: UUID of the tenant
- **category**: Category name (procurement, inventory, production, supplier, pos, order)
Returns settings for the specified category only.
Valid categories:
- procurement: Auto-approval and procurement planning settings
- inventory: Stock thresholds and temperature monitoring
- production: Capacity, quality, and scheduling settings
- supplier: Payment terms and performance thresholds
- pos: POS integration sync settings
- order: Discount and delivery settings
"""
service = TenantSettingsService(db)
category_settings = await service.get_category(tenant_id, category)
return {
"tenant_id": str(tenant_id),
"category": category,
"settings": category_settings
}
@router.put(
"/{tenant_id}/settings/{category}",
response_model=TenantSettingsResponse,
summary="Update settings for a specific category",
description="Update all or some fields within a single category"
)
async def update_category_settings(
tenant_id: UUID,
category: str,
request: CategoryUpdateRequest,
db: AsyncSession = Depends(get_db)
):
"""
Update settings for a specific category
- **tenant_id**: UUID of the tenant
- **category**: Category name
- **request**: Object containing the settings to update
Updates only the specified category. All values are validated.
"""
service = TenantSettingsService(db)
settings = await service.update_category(tenant_id, category, request.settings)
return settings
@router.post(
"/{tenant_id}/settings/{category}/reset",
response_model=CategoryResetResponse,
summary="Reset category to default values",
description="Reset a specific category to its default values"
)
async def reset_category_settings(
tenant_id: UUID,
category: str,
db: AsyncSession = Depends(get_db)
):
"""
Reset a category to default values
- **tenant_id**: UUID of the tenant
- **category**: Category name
Resets all settings in the specified category to their default values.
This operation cannot be undone.
"""
service = TenantSettingsService(db)
reset_settings = await service.reset_category(tenant_id, category)
return CategoryResetResponse(
category=category,
settings=reset_settings,
message=f"Category '{category}' has been reset to default values"
)
@router.delete(
"/{tenant_id}/settings",
status_code=status.HTTP_204_NO_CONTENT,
summary="Delete tenant settings",
description="Delete all settings for a tenant (used when tenant is deleted)"
)
async def delete_tenant_settings(
tenant_id: UUID,
db: AsyncSession = Depends(get_db)
):
"""
Delete tenant settings
- **tenant_id**: UUID of the tenant
This endpoint is typically called automatically when a tenant is deleted.
It removes all setting data for the tenant.
"""
service = TenantSettingsService(db)
await service.delete_settings(tenant_id)
return None

23
services/tenant/app/api/tenants.py
View File

@@ -37,15 +37,36 @@ async def get_tenant(
current_user: Dict[str, Any] = Depends(get_current_user_dep),
tenant_service: EnhancedTenantService = Depends(get_enhanced_tenant_service)
):
"""Get tenant by ID - ATOMIC operation"""
"""Get tenant by ID - ATOMIC operation - ENHANCED with logging"""
logger.info(
"Tenant GET request received",
tenant_id=str(tenant_id),
user_id=current_user.get("user_id"),
user_type=current_user.get("type", "user"),
is_service=current_user.get("type") == "service",
role=current_user.get("role"),
service_name=current_user.get("service", "none")
)
tenant = await tenant_service.get_tenant_by_id(str(tenant_id))
if not tenant:
logger.warning(
"Tenant not found",
tenant_id=str(tenant_id),
user_id=current_user.get("user_id")
)
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Tenant not found"
)
logger.debug(
"Tenant GET request successful",
tenant_id=str(tenant_id),
user_id=current_user.get("user_id")
)
return tenant
@router.put(route_builder.build_base_route("{tenant_id}", include_tenant_prefix=False), response_model=TenantResponse)

5
services/tenant/app/main.py
View File

@@ -7,7 +7,7 @@ from fastapi import FastAPI
from sqlalchemy import text
from app.core.config import settings
from app.core.database import database_manager
from app.api import tenants, tenant_members, tenant_operations, webhooks, internal_demo, plans, subscription
from app.api import tenants, tenant_members, tenant_operations, webhooks, internal_demo, plans, subscription, tenant_settings
from shared.service_base import StandardFastAPIService
@@ -68,6 +68,7 @@ class TenantService(StandardFastAPIService):
"""Custom startup logic for tenant service"""
# Import models to ensure they're registered with SQLAlchemy
from app.models.tenants import Tenant, TenantMember, Subscription
from app.models.tenant_settings import TenantSettings
self.logger.info("Tenant models imported successfully")
async def on_shutdown(self, app: FastAPI):
@@ -113,6 +114,8 @@ service.setup_custom_endpoints()
# Include routers
service.add_router(plans.router, tags=["subscription-plans"]) # Public endpoint
service.add_router(subscription.router, tags=["subscription"])
# Register settings router BEFORE tenants router to ensure proper route matching
service.add_router(tenant_settings.router, prefix="/api/v1/tenants", tags=["tenant-settings"])
service.add_router(tenants.router, tags=["tenants"])
service.add_router(tenant_members.router, tags=["tenant-members"])
service.add_router(tenant_operations.router, tags=["tenant-operations"])

195
services/tenant/app/models/tenant_settings.py Normal file
View File

@@ -0,0 +1,195 @@
# services/tenant/app/models/tenant_settings.py
"""
Tenant Settings Model
Centralized configuration storage for all tenant-specific operational settings
"""
from sqlalchemy import Column, String, Boolean, DateTime, ForeignKey, JSON
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
from datetime import datetime, timezone
import uuid
from shared.database.base import Base
class TenantSettings(Base):
"""
Centralized tenant settings model
Stores all operational configurations for a tenant across all services
"""
__tablename__ = "tenant_settings"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
tenant_id = Column(UUID(as_uuid=True), ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False, unique=True, index=True)
# Procurement & Auto-Approval Settings (Orders Service)
procurement_settings = Column(JSON, nullable=False, default=lambda: {
"auto_approve_enabled": True,
"auto_approve_threshold_eur": 500.0,
"auto_approve_min_supplier_score": 0.80,
"require_approval_new_suppliers": True,
"require_approval_critical_items": True,
"procurement_lead_time_days": 3,
"demand_forecast_days": 14,
"safety_stock_percentage": 20.0,
"po_approval_reminder_hours": 24,
"po_critical_escalation_hours": 12
})
# Inventory Management Settings (Inventory Service)
inventory_settings = Column(JSON, nullable=False, default=lambda: {
"low_stock_threshold": 10,
"reorder_point": 20,
"reorder_quantity": 50,
"expiring_soon_days": 7,
"expiration_warning_days": 3,
"quality_score_threshold": 8.0,
"temperature_monitoring_enabled": True,
"refrigeration_temp_min": 1.0,
"refrigeration_temp_max": 4.0,
"freezer_temp_min": -20.0,
"freezer_temp_max": -15.0,
"room_temp_min": 18.0,
"room_temp_max": 25.0,
"temp_deviation_alert_minutes": 15,
"critical_temp_deviation_minutes": 5
})
# Production Settings (Production Service)
production_settings = Column(JSON, nullable=False, default=lambda: {
"planning_horizon_days": 7,
"minimum_batch_size": 1.0,
"maximum_batch_size": 100.0,
"production_buffer_percentage": 10.0,
"working_hours_per_day": 12,
"max_overtime_hours": 4,
"capacity_utilization_target": 0.85,
"capacity_warning_threshold": 0.95,
"quality_check_enabled": True,
"minimum_yield_percentage": 85.0,
"quality_score_threshold": 8.0,
"schedule_optimization_enabled": True,
"prep_time_buffer_minutes": 30,
"cleanup_time_buffer_minutes": 15,
"labor_cost_per_hour_eur": 15.0,
"overhead_cost_percentage": 20.0
})
# Supplier Settings (Suppliers Service)
supplier_settings = Column(JSON, nullable=False, default=lambda: {
"default_payment_terms_days": 30,
"default_delivery_days": 3,
"excellent_delivery_rate": 95.0,
"good_delivery_rate": 90.0,
"excellent_quality_rate": 98.0,
"good_quality_rate": 95.0,
"critical_delivery_delay_hours": 24,
"critical_quality_rejection_rate": 10.0,
"high_cost_variance_percentage": 15.0
})
# POS Integration Settings (POS Service)
pos_settings = Column(JSON, nullable=False, default=lambda: {
"sync_interval_minutes": 5,
"auto_sync_products": True,
"auto_sync_transactions": True
})
# Order & Business Rules Settings (Orders Service)
order_settings = Column(JSON, nullable=False, default=lambda: {
"max_discount_percentage": 50.0,
"default_delivery_window_hours": 48,
"dynamic_pricing_enabled": False,
"discount_enabled": True,
"delivery_tracking_enabled": True
})
# Timestamps
created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), nullable=False)
updated_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc), onupdate=lambda: datetime.now(timezone.utc), nullable=False)
# Relationships
tenant = relationship("Tenant", backref="settings")
def __repr__(self):
return f"<TenantSettings(tenant_id={self.tenant_id})>"
@staticmethod
def get_default_settings() -> dict:
"""
Get default settings for all categories
Returns a dictionary with default values for all setting categories
"""
return {
"procurement_settings": {
"auto_approve_enabled": True,
"auto_approve_threshold_eur": 500.0,
"auto_approve_min_supplier_score": 0.80,
"require_approval_new_suppliers": True,
"require_approval_critical_items": True,
"procurement_lead_time_days": 3,
"demand_forecast_days": 14,
"safety_stock_percentage": 20.0,
"po_approval_reminder_hours": 24,
"po_critical_escalation_hours": 12
},
"inventory_settings": {
"low_stock_threshold": 10,
"reorder_point": 20,
"reorder_quantity": 50,
"expiring_soon_days": 7,
"expiration_warning_days": 3,
"quality_score_threshold": 8.0,
"temperature_monitoring_enabled": True,
"refrigeration_temp_min": 1.0,
"refrigeration_temp_max": 4.0,
"freezer_temp_min": -20.0,
"freezer_temp_max": -15.0,
"room_temp_min": 18.0,
"room_temp_max": 25.0,
"temp_deviation_alert_minutes": 15,
"critical_temp_deviation_minutes": 5
},
"production_settings": {
"planning_horizon_days": 7,
"minimum_batch_size": 1.0,
"maximum_batch_size": 100.0,
"production_buffer_percentage": 10.0,
"working_hours_per_day": 12,
"max_overtime_hours": 4,
"capacity_utilization_target": 0.85,
"capacity_warning_threshold": 0.95,
"quality_check_enabled": True,
"minimum_yield_percentage": 85.0,
"quality_score_threshold": 8.0,
"schedule_optimization_enabled": True,
"prep_time_buffer_minutes": 30,
"cleanup_time_buffer_minutes": 15,
"labor_cost_per_hour_eur": 15.0,
"overhead_cost_percentage": 20.0
},
"supplier_settings": {
"default_payment_terms_days": 30,
"default_delivery_days": 3,
"excellent_delivery_rate": 95.0,
"good_delivery_rate": 90.0,
"excellent_quality_rate": 98.0,
"good_quality_rate": 95.0,
"critical_delivery_delay_hours": 24,
"critical_quality_rejection_rate": 10.0,
"high_cost_variance_percentage": 15.0
},
"pos_settings": {
"sync_interval_minutes": 5,
"auto_sync_products": True,
"auto_sync_transactions": True
},
"order_settings": {
"max_discount_percentage": 50.0,
"default_delivery_window_hours": 48,
"dynamic_pricing_enabled": False,
"discount_enabled": True,
"delivery_tracking_enabled": True
}
}

22
services/tenant/app/repositories/tenant_member_repository.py
View File

@@ -13,6 +13,7 @@ import json
from .base import TenantBaseRepository
from app.models.tenants import TenantMember
from shared.database.exceptions import DatabaseError, ValidationError, DuplicateRecordError
from shared.config.base import is_internal_service
logger = structlog.get_logger()
@@ -89,6 +90,25 @@ class TenantMemberRepository(TenantBaseRepository):
async def get_membership(self, tenant_id: str, user_id: str) -> Optional[TenantMember]:
"""Get specific membership by tenant and user"""
try:
# Validate that user_id is a proper UUID format for actual users
# Service names like 'inventory-service' should be handled differently
import uuid
try:
uuid.UUID(user_id)
is_valid_uuid = True
except ValueError:
is_valid_uuid = False
# For internal service access, return None to indicate no user membership
# Service access should be handled at the API layer
if not is_valid_uuid and is_internal_service(user_id):
# This is an internal service request, return None
# Service access is granted at the API endpoint level
logger.debug("Internal service detected in membership lookup",
service=user_id,
tenant_id=tenant_id)
return None
memberships = await self.get_multi(
filters={
"tenant_id": tenant_id,
@@ -444,4 +464,4 @@ class TenantMemberRepository(TenantBaseRepository):
except Exception as e:
logger.error("Failed to cleanup inactive memberships",
error=str(e))
raise DatabaseError(f"Cleanup failed: {str(e)}")
raise DatabaseError(f"Cleanup failed: {str(e)}")

82
services/tenant/app/repositories/tenant_settings_repository.py Normal file
View File

@@ -0,0 +1,82 @@
# services/tenant/app/repositories/tenant_settings_repository.py
"""
Tenant Settings Repository
Data access layer for tenant settings
"""
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from typing import Optional
from uuid import UUID
import structlog
from ..models.tenant_settings import TenantSettings
logger = structlog.get_logger()
class TenantSettingsRepository:
"""Repository for TenantSettings data access"""
def __init__(self, db: AsyncSession):
self.db = db
async def get_by_tenant_id(self, tenant_id: UUID) -> Optional[TenantSettings]:
"""
Get tenant settings by tenant ID
Args:
tenant_id: UUID of the tenant
Returns:
TenantSettings or None if not found
"""
result = await self.db.execute(
select(TenantSettings).where(TenantSettings.tenant_id == tenant_id)
)
return result.scalar_one_or_none()
async def create(self, settings: TenantSettings) -> TenantSettings:
"""
Create new tenant settings
Args:
settings: TenantSettings instance to create
Returns:
Created TenantSettings instance
"""
self.db.add(settings)
await self.db.commit()
await self.db.refresh(settings)
return settings
async def update(self, settings: TenantSettings) -> TenantSettings:
"""
Update tenant settings
Args:
settings: TenantSettings instance with updates
Returns:
Updated TenantSettings instance
"""
await self.db.commit()
await self.db.refresh(settings)
return settings
async def delete(self, tenant_id: UUID) -> None:
"""
Delete tenant settings
Args:
tenant_id: UUID of the tenant
"""
result = await self.db.execute(
select(TenantSettings).where(TenantSettings.tenant_id == tenant_id)
)
settings = result.scalar_one_or_none()
if settings:
await self.db.delete(settings)
await self.db.commit()

181
services/tenant/app/schemas/tenant_settings.py Normal file
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@@ -0,0 +1,181 @@
# services/tenant/app/schemas/tenant_settings.py
"""
Tenant Settings Schemas
Pydantic models for API request/response validation
"""
from pydantic import BaseModel, Field, validator
from typing import Optional
from datetime import datetime
from uuid import UUID
# ================================================================
# SETTING CATEGORY SCHEMAS
# ================================================================
class ProcurementSettings(BaseModel):
"""Procurement and auto-approval settings"""
auto_approve_enabled: bool = True
auto_approve_threshold_eur: float = Field(500.0, ge=0, le=10000)
auto_approve_min_supplier_score: float = Field(0.80, ge=0.0, le=1.0)
require_approval_new_suppliers: bool = True
require_approval_critical_items: bool = True
procurement_lead_time_days: int = Field(3, ge=1, le=30)
demand_forecast_days: int = Field(14, ge=1, le=90)
safety_stock_percentage: float = Field(20.0, ge=0.0, le=100.0)
po_approval_reminder_hours: int = Field(24, ge=1, le=168)
po_critical_escalation_hours: int = Field(12, ge=1, le=72)
class InventorySettings(BaseModel):
"""Inventory management settings"""
low_stock_threshold: int = Field(10, ge=1, le=1000)
reorder_point: int = Field(20, ge=1, le=1000)
reorder_quantity: int = Field(50, ge=1, le=1000)
expiring_soon_days: int = Field(7, ge=1, le=30)
expiration_warning_days: int = Field(3, ge=1, le=14)
quality_score_threshold: float = Field(8.0, ge=0.0, le=10.0)
temperature_monitoring_enabled: bool = True
refrigeration_temp_min: float = Field(1.0, ge=-5.0, le=10.0)
refrigeration_temp_max: float = Field(4.0, ge=-5.0, le=10.0)
freezer_temp_min: float = Field(-20.0, ge=-30.0, le=0.0)
freezer_temp_max: float = Field(-15.0, ge=-30.0, le=0.0)
room_temp_min: float = Field(18.0, ge=10.0, le=35.0)
room_temp_max: float = Field(25.0, ge=10.0, le=35.0)
temp_deviation_alert_minutes: int = Field(15, ge=1, le=60)
critical_temp_deviation_minutes: int = Field(5, ge=1, le=30)
@validator('refrigeration_temp_max')
def validate_refrigeration_range(cls, v, values):
if 'refrigeration_temp_min' in values and v <= values['refrigeration_temp_min']:
raise ValueError('refrigeration_temp_max must be greater than refrigeration_temp_min')
return v
@validator('freezer_temp_max')
def validate_freezer_range(cls, v, values):
if 'freezer_temp_min' in values and v <= values['freezer_temp_min']:
raise ValueError('freezer_temp_max must be greater than freezer_temp_min')
return v
@validator('room_temp_max')
def validate_room_range(cls, v, values):
if 'room_temp_min' in values and v <= values['room_temp_min']:
raise ValueError('room_temp_max must be greater than room_temp_min')
return v
class ProductionSettings(BaseModel):
"""Production settings"""
planning_horizon_days: int = Field(7, ge=1, le=30)
minimum_batch_size: float = Field(1.0, ge=0.1, le=100.0)
maximum_batch_size: float = Field(100.0, ge=1.0, le=1000.0)
production_buffer_percentage: float = Field(10.0, ge=0.0, le=50.0)
working_hours_per_day: int = Field(12, ge=1, le=24)
max_overtime_hours: int = Field(4, ge=0, le=12)
capacity_utilization_target: float = Field(0.85, ge=0.5, le=1.0)
capacity_warning_threshold: float = Field(0.95, ge=0.7, le=1.0)
quality_check_enabled: bool = True
minimum_yield_percentage: float = Field(85.0, ge=50.0, le=100.0)
quality_score_threshold: float = Field(8.0, ge=0.0, le=10.0)
schedule_optimization_enabled: bool = True
prep_time_buffer_minutes: int = Field(30, ge=0, le=120)
cleanup_time_buffer_minutes: int = Field(15, ge=0, le=120)
labor_cost_per_hour_eur: float = Field(15.0, ge=5.0, le=100.0)
overhead_cost_percentage: float = Field(20.0, ge=0.0, le=50.0)
@validator('maximum_batch_size')
def validate_batch_size_range(cls, v, values):
if 'minimum_batch_size' in values and v <= values['minimum_batch_size']:
raise ValueError('maximum_batch_size must be greater than minimum_batch_size')
return v
@validator('capacity_warning_threshold')
def validate_capacity_threshold(cls, v, values):
if 'capacity_utilization_target' in values and v <= values['capacity_utilization_target']:
raise ValueError('capacity_warning_threshold must be greater than capacity_utilization_target')
return v
class SupplierSettings(BaseModel):
"""Supplier management settings"""
default_payment_terms_days: int = Field(30, ge=1, le=90)
default_delivery_days: int = Field(3, ge=1, le=30)
excellent_delivery_rate: float = Field(95.0, ge=90.0, le=100.0)
good_delivery_rate: float = Field(90.0, ge=80.0, le=99.0)
excellent_quality_rate: float = Field(98.0, ge=90.0, le=100.0)
good_quality_rate: float = Field(95.0, ge=80.0, le=99.0)
critical_delivery_delay_hours: int = Field(24, ge=1, le=168)
critical_quality_rejection_rate: float = Field(10.0, ge=0.0, le=50.0)
high_cost_variance_percentage: float = Field(15.0, ge=0.0, le=100.0)
@validator('good_delivery_rate')
def validate_delivery_rates(cls, v, values):
if 'excellent_delivery_rate' in values and v >= values['excellent_delivery_rate']:
raise ValueError('good_delivery_rate must be less than excellent_delivery_rate')
return v
@validator('good_quality_rate')
def validate_quality_rates(cls, v, values):
if 'excellent_quality_rate' in values and v >= values['excellent_quality_rate']:
raise ValueError('good_quality_rate must be less than excellent_quality_rate')
return v
class POSSettings(BaseModel):
"""POS integration settings"""
sync_interval_minutes: int = Field(5, ge=1, le=60)
auto_sync_products: bool = True
auto_sync_transactions: bool = True
class OrderSettings(BaseModel):
"""Order and business rules settings"""
max_discount_percentage: float = Field(50.0, ge=0.0, le=100.0)
default_delivery_window_hours: int = Field(48, ge=1, le=168)
dynamic_pricing_enabled: bool = False
discount_enabled: bool = True
delivery_tracking_enabled: bool = True
# ================================================================
# REQUEST/RESPONSE SCHEMAS
# ================================================================
class TenantSettingsResponse(BaseModel):
"""Response schema for tenant settings"""
id: UUID
tenant_id: UUID
procurement_settings: ProcurementSettings
inventory_settings: InventorySettings
production_settings: ProductionSettings
supplier_settings: SupplierSettings
pos_settings: POSSettings
order_settings: OrderSettings
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class TenantSettingsUpdate(BaseModel):
"""Schema for updating tenant settings"""
procurement_settings: Optional[ProcurementSettings] = None
inventory_settings: Optional[InventorySettings] = None
production_settings: Optional[ProductionSettings] = None
supplier_settings: Optional[SupplierSettings] = None
pos_settings: Optional[POSSettings] = None
order_settings: Optional[OrderSettings] = None
class CategoryUpdateRequest(BaseModel):
"""Schema for updating a single category"""
settings: dict
class CategoryResetResponse(BaseModel):
"""Response schema for category reset"""
category: str
settings: dict
message: str

67
services/tenant/app/services/subscription_limit_service.py
View File

@@ -8,13 +8,14 @@ from typing import Dict, Any, Optional
from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import HTTPException, status
from datetime import datetime, timezone
import httpx
from app.repositories import SubscriptionRepository, TenantRepository, TenantMemberRepository
from app.models.tenants import Subscription, Tenant, TenantMember
from shared.database.exceptions import DatabaseError
from shared.database.base import create_database_manager
from shared.subscription.plans import SubscriptionPlanMetadata, get_training_job_quota, get_forecast_quota
from shared.clients.recipes_client import create_recipes_client
from shared.clients.suppliers_client import create_suppliers_client
logger = structlog.get_logger()
@@ -459,50 +460,64 @@ class SubscriptionLimitService:
return 0
async def _get_recipe_count(self, tenant_id: str) -> int:
"""Get recipe count from recipes service"""
"""Get recipe count from recipes service using shared client"""
try:
from app.core.config import settings
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.get(
f"{settings.RECIPES_SERVICE_URL}/api/v1/tenants/{tenant_id}/recipes/count",
headers={"X-Internal-Request": "true"}
)
response.raise_for_status()
data = response.json()
count = data.get("count", 0)
# Use the shared recipes client with proper authentication and resilience
recipes_client = create_recipes_client(settings)
count = await recipes_client.count_recipes(tenant_id)
logger.info("Retrieved recipe count", tenant_id=tenant_id, count=count)
return count
logger.info(
"Retrieved recipe count via recipes client",
tenant_id=tenant_id,
count=count
)
return count
except Exception as e:
logger.error("Error getting recipe count", tenant_id=tenant_id, error=str(e))
logger.error(
"Error getting recipe count via recipes client",
tenant_id=tenant_id,
error=str(e)
)
# Return 0 as fallback to avoid breaking subscription display
return 0
async def _get_supplier_count(self, tenant_id: str) -> int:
"""Get supplier count from suppliers service"""
"""Get supplier count from suppliers service using shared client"""
try:
from app.core.config import settings
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.get(
f"{settings.SUPPLIERS_SERVICE_URL}/api/v1/tenants/{tenant_id}/suppliers/count",
headers={"X-Internal-Request": "true"}
)
response.raise_for_status()
data = response.json()
count = data.get("count", 0)
# Use the shared suppliers client with proper authentication and resilience
suppliers_client = create_suppliers_client(settings)
count = await suppliers_client.count_suppliers(tenant_id)
logger.info("Retrieved supplier count", tenant_id=tenant_id, count=count)
return count
logger.info(
"Retrieved supplier count via suppliers client",
tenant_id=tenant_id,
count=count
)
return count
except Exception as e:
logger.error("Error getting supplier count", tenant_id=tenant_id, error=str(e))
logger.error(
"Error getting supplier count via suppliers client",
tenant_id=tenant_id,
error=str(e)
)
# Return 0 as fallback to avoid breaking subscription display
return 0
async def _get_redis_quota(self, quota_key: str) -> int:
"""Get current count from Redis quota key"""
try:
if not self.redis:
# Try to initialize Redis client if not available
from app.core.config import settings
import shared.redis_utils
self.redis = await shared.redis_utils.initialize_redis(settings.REDIS_URL)
if not self.redis:
return 0
@@ -607,4 +622,4 @@ class SubscriptionLimitService:
"""Get limit value from plan metadata"""
plan_metadata = SubscriptionPlanMetadata.PLANS.get(plan, {})
limit = plan_metadata.get('limits', {}).get(limit_key)
return limit if limit != -1 else None
return limit if limit != -1 else None

262
services/tenant/app/services/tenant_settings_service.py Normal file
View File

@@ -0,0 +1,262 @@
# services/tenant/app/services/tenant_settings_service.py
"""
Tenant Settings Service
Business logic for managing tenant-specific operational settings
"""
import structlog
from sqlalchemy.ext.asyncio import AsyncSession
from uuid import UUID
from typing import Optional, Dict, Any
from fastapi import HTTPException, status
from ..models.tenant_settings import TenantSettings
from ..repositories.tenant_settings_repository import TenantSettingsRepository
from ..schemas.tenant_settings import (
TenantSettingsUpdate,
ProcurementSettings,
InventorySettings,
ProductionSettings,
SupplierSettings,
POSSettings,
OrderSettings
)
logger = structlog.get_logger()
class TenantSettingsService:
"""
Service for managing tenant settings
Handles validation, CRUD operations, and default value management
"""
# Map category names to schema validators
CATEGORY_SCHEMAS = {
"procurement": ProcurementSettings,
"inventory": InventorySettings,
"production": ProductionSettings,
"supplier": SupplierSettings,
"pos": POSSettings,
"order": OrderSettings
}
# Map category names to database column names
CATEGORY_COLUMNS = {
"procurement": "procurement_settings",
"inventory": "inventory_settings",
"production": "production_settings",
"supplier": "supplier_settings",
"pos": "pos_settings",
"order": "order_settings"
}
def __init__(self, db: AsyncSession):
self.db = db
self.repository = TenantSettingsRepository(db)
async def get_settings(self, tenant_id: UUID) -> TenantSettings:
"""
Get tenant settings, creating defaults if they don't exist
Args:
tenant_id: UUID of the tenant
Returns:
TenantSettings object
Raises:
HTTPException: If tenant not found
"""
try:
# Try to get existing settings using repository
settings = await self.repository.get_by_tenant_id(tenant_id)
logger.info(f"Existing settings lookup for tenant {tenant_id}: {'found' if settings else 'not found'}")
# Create default settings if they don't exist
if not settings:
logger.info(f"Creating default settings for tenant {tenant_id}")
settings = await self._create_default_settings(tenant_id)
logger.info(f"Successfully created default settings for tenant {tenant_id}")
return settings
except Exception as e:
logger.error("Failed to get or create tenant settings", tenant_id=tenant_id, error=str(e), exc_info=True)
# Re-raise as HTTPException to match the expected behavior
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=f"Failed to get tenant settings: {str(e)}"
)
async def update_settings(
self,
tenant_id: UUID,
updates: TenantSettingsUpdate
) -> TenantSettings:
"""
Update tenant settings
Args:
tenant_id: UUID of the tenant
updates: TenantSettingsUpdate object with new values
Returns:
Updated TenantSettings object
"""
settings = await self.get_settings(tenant_id)
# Update each category if provided
if updates.procurement_settings is not None:
settings.procurement_settings = updates.procurement_settings.dict()
if updates.inventory_settings is not None:
settings.inventory_settings = updates.inventory_settings.dict()
if updates.production_settings is not None:
settings.production_settings = updates.production_settings.dict()
if updates.supplier_settings is not None:
settings.supplier_settings = updates.supplier_settings.dict()
if updates.pos_settings is not None:
settings.pos_settings = updates.pos_settings.dict()
if updates.order_settings is not None:
settings.order_settings = updates.order_settings.dict()
return await self.repository.update(settings)
async def get_category(self, tenant_id: UUID, category: str) -> Dict[str, Any]:
"""
Get settings for a specific category
Args:
tenant_id: UUID of the tenant
category: Category name (procurement, inventory, production, etc.)
Returns:
Dictionary with category settings
Raises:
HTTPException: If category is invalid
"""
if category not in self.CATEGORY_COLUMNS:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid category: {category}. Valid categories: {', '.join(self.CATEGORY_COLUMNS.keys())}"
)
settings = await self.get_settings(tenant_id)
column_name = self.CATEGORY_COLUMNS[category]
return getattr(settings, column_name)
async def update_category(
self,
tenant_id: UUID,
category: str,
updates: Dict[str, Any]
) -> TenantSettings:
"""
Update settings for a specific category
Args:
tenant_id: UUID of the tenant
category: Category name
updates: Dictionary with new values
Returns:
Updated TenantSettings object
Raises:
HTTPException: If category is invalid or validation fails
"""
if category not in self.CATEGORY_COLUMNS:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid category: {category}"
)
# Validate updates using the appropriate schema
schema = self.CATEGORY_SCHEMAS[category]
try:
validated_data = schema(**updates)
except Exception as e:
raise HTTPException(
status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
detail=f"Validation error: {str(e)}"
)
# Get existing settings and update the category
settings = await self.get_settings(tenant_id)
column_name = self.CATEGORY_COLUMNS[category]
setattr(settings, column_name, validated_data.dict())
return await self.repository.update(settings)
async def reset_category(self, tenant_id: UUID, category: str) -> Dict[str, Any]:
"""
Reset a category to default values
Args:
tenant_id: UUID of the tenant
category: Category name
Returns:
Dictionary with reset category settings
Raises:
HTTPException: If category is invalid
"""
if category not in self.CATEGORY_COLUMNS:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Invalid category: {category}"
)
# Get default settings for the category
defaults = TenantSettings.get_default_settings()
column_name = self.CATEGORY_COLUMNS[category]
default_category_settings = defaults[column_name]
# Update the category with defaults
settings = await self.get_settings(tenant_id)
setattr(settings, column_name, default_category_settings)
await self.repository.update(settings)
return default_category_settings
async def _create_default_settings(self, tenant_id: UUID) -> TenantSettings:
"""
Create default settings for a new tenant
Args:
tenant_id: UUID of the tenant
Returns:
Newly created TenantSettings object
"""
defaults = TenantSettings.get_default_settings()
settings = TenantSettings(
tenant_id=tenant_id,
procurement_settings=defaults["procurement_settings"],
inventory_settings=defaults["inventory_settings"],
production_settings=defaults["production_settings"],
supplier_settings=defaults["supplier_settings"],
pos_settings=defaults["pos_settings"],
order_settings=defaults["order_settings"]
)
return await self.repository.create(settings)
async def delete_settings(self, tenant_id: UUID) -> None:
"""
Delete tenant settings (used when tenant is deleted)
Args:
tenant_id: UUID of the tenant
"""
await self.repository.delete(tenant_id)

155
services/tenant/migrations/versions/20251022_0000_add_tenant_settings.py Normal file
View File

@@ -0,0 +1,155 @@
"""add tenant_settings
Revision ID: 20251022_0000
Revises: 20251017_0000
Create Date: 2025-10-22
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from uuid import uuid4
# revision identifiers, used by Alembic.
revision = '20251022_0000'
down_revision = '20251017_0000'
branch_labels = None
depends_on = None
def get_default_settings():
"""Get default settings for all categories"""
return {
"procurement_settings": {
"auto_approve_enabled": True,
"auto_approve_threshold_eur": 500.0,
"auto_approve_min_supplier_score": 0.80,
"require_approval_new_suppliers": True,
"require_approval_critical_items": True,
"procurement_lead_time_days": 3,
"demand_forecast_days": 14,
"safety_stock_percentage": 20.0,
"po_approval_reminder_hours": 24,
"po_critical_escalation_hours": 12
},
"inventory_settings": {
"low_stock_threshold": 10,
"reorder_point": 20,
"reorder_quantity": 50,
"expiring_soon_days": 7,
"expiration_warning_days": 3,
"quality_score_threshold": 8.0,
"temperature_monitoring_enabled": True,
"refrigeration_temp_min": 1.0,
"refrigeration_temp_max": 4.0,
"freezer_temp_min": -20.0,
"freezer_temp_max": -15.0,
"room_temp_min": 18.0,
"room_temp_max": 25.0,
"temp_deviation_alert_minutes": 15,
"critical_temp_deviation_minutes": 5
},
"production_settings": {
"planning_horizon_days": 7,
"minimum_batch_size": 1.0,
"maximum_batch_size": 100.0,
"production_buffer_percentage": 10.0,
"working_hours_per_day": 12,
"max_overtime_hours": 4,
"capacity_utilization_target": 0.85,
"capacity_warning_threshold": 0.95,
"quality_check_enabled": True,
"minimum_yield_percentage": 85.0,
"quality_score_threshold": 8.0,
"schedule_optimization_enabled": True,
"prep_time_buffer_minutes": 30,
"cleanup_time_buffer_minutes": 15,
"labor_cost_per_hour_eur": 15.0,
"overhead_cost_percentage": 20.0
},
"supplier_settings": {
"default_payment_terms_days": 30,
"default_delivery_days": 3,
"excellent_delivery_rate": 95.0,
"good_delivery_rate": 90.0,
"excellent_quality_rate": 98.0,
"good_quality_rate": 95.0,
"critical_delivery_delay_hours": 24,
"critical_quality_rejection_rate": 10.0,
"high_cost_variance_percentage": 15.0
},
"pos_settings": {
"sync_interval_minutes": 5,
"auto_sync_products": True,
"auto_sync_transactions": True
},
"order_settings": {
"max_discount_percentage": 50.0,
"default_delivery_window_hours": 48,
"dynamic_pricing_enabled": False,
"discount_enabled": True,
"delivery_tracking_enabled": True
}
}
def upgrade():
"""Create tenant_settings table and seed existing tenants"""
# Create tenant_settings table
op.create_table(
'tenant_settings',
sa.Column('id', postgresql.UUID(as_uuid=True), primary_key=True, default=uuid4),
sa.Column('tenant_id', postgresql.UUID(as_uuid=True), nullable=False),
sa.Column('procurement_settings', postgresql.JSON(), nullable=False),
sa.Column('inventory_settings', postgresql.JSON(), nullable=False),
sa.Column('production_settings', postgresql.JSON(), nullable=False),
sa.Column('supplier_settings', postgresql.JSON(), nullable=False),
sa.Column('pos_settings', postgresql.JSON(), nullable=False),
sa.Column('order_settings', postgresql.JSON(), nullable=False),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
sa.UniqueConstraint('tenant_id', name='uq_tenant_settings_tenant_id')
)
# Create indexes
op.create_index('ix_tenant_settings_tenant_id', 'tenant_settings', ['tenant_id'])
# Seed existing tenants with default settings
connection = op.get_bind()
# Get all existing tenant IDs
result = connection.execute(sa.text("SELECT id FROM tenants"))
tenant_ids = [row[0] for row in result]
# Insert default settings for each existing tenant
defaults = get_default_settings()
for tenant_id in tenant_ids:
connection.execute(
sa.text("""
INSERT INTO tenant_settings (
id, tenant_id, procurement_settings, inventory_settings,
production_settings, supplier_settings, pos_settings, order_settings
) VALUES (
:id, :tenant_id, :procurement_settings::jsonb, :inventory_settings::jsonb,
:production_settings::jsonb, :supplier_settings::jsonb,
:pos_settings::jsonb, :order_settings::jsonb
)
"""),
{
"id": str(uuid4()),
"tenant_id": tenant_id,
"procurement_settings": str(defaults["procurement_settings"]).replace("'", '"').replace("True", "true").replace("False", "false"),
"inventory_settings": str(defaults["inventory_settings"]).replace("'", '"').replace("True", "true").replace("False", "false"),
"production_settings": str(defaults["production_settings"]).replace("'", '"').replace("True", "true").replace("False", "false"),
"supplier_settings": str(defaults["supplier_settings"]).replace("'", '"').replace("True", "true").replace("False", "false"),
"pos_settings": str(defaults["pos_settings"]).replace("'", '"').replace("True", "true").replace("False", "false"),
"order_settings": str(defaults["order_settings"]).replace("'", '"').replace("True", "true").replace("False", "false")
}
)
def downgrade():
"""Drop tenant_settings table"""
op.drop_index('ix_tenant_settings_tenant_id', table_name='tenant_settings')
op.drop_table('tenant_settings')