Improve the frontend 5
This commit is contained in:
Urtzi Alfaro
237
services/forecasting/app/api/audit.py
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237
services/forecasting/app/api/audit.py
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@@ -0,0 +1,237 @@
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# services/forecasting/app/api/audit.py
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"""
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Audit Logs API - Retrieve audit trail for forecasting service
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"""
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from fastapi import APIRouter, Depends, HTTPException, Query, Path, status
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from typing import Optional, Dict, Any
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from uuid import UUID
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from datetime import datetime
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import structlog
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from sqlalchemy import select, func, and_
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models import AuditLog
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from shared.auth.decorators import get_current_user_dep
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from shared.auth.access_control import require_user_role
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from shared.routing import RouteBuilder
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from shared.models.audit_log_schemas import (
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AuditLogResponse,
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AuditLogListResponse,
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AuditLogStatsResponse
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)
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from app.core.database import database_manager
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route_builder = RouteBuilder('forecasting')
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router = APIRouter(tags=["audit-logs"])
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logger = structlog.get_logger()
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async def get_db():
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"""Database session dependency"""
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async with database_manager.get_session() as session:
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yield session
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@router.get(
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route_builder.build_base_route("audit-logs"),
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response_model=AuditLogListResponse
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)
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@require_user_role(['admin', 'owner'])
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async def get_audit_logs(
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tenant_id: UUID = Path(..., description="Tenant ID"),
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start_date: Optional[datetime] = Query(None, description="Filter logs from this date"),
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end_date: Optional[datetime] = Query(None, description="Filter logs until this date"),
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user_id: Optional[UUID] = Query(None, description="Filter by user ID"),
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action: Optional[str] = Query(None, description="Filter by action type"),
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resource_type: Optional[str] = Query(None, description="Filter by resource type"),
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severity: Optional[str] = Query(None, description="Filter by severity level"),
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search: Optional[str] = Query(None, description="Search in description field"),
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limit: int = Query(100, ge=1, le=1000, description="Number of records to return"),
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offset: int = Query(0, ge=0, description="Number of records to skip"),
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current_user: Dict[str, Any] = Depends(get_current_user_dep),
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db: AsyncSession = Depends(get_db)
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):
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"""
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Get audit logs for forecasting service.
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Requires admin or owner role.
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"""
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try:
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logger.info(
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"Retrieving audit logs",
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tenant_id=tenant_id,
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user_id=current_user.get("user_id"),
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filters={
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"start_date": start_date,
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"end_date": end_date,
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"action": action,
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"resource_type": resource_type,
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"severity": severity
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}
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)
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# Build query filters
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filters = [AuditLog.tenant_id == tenant_id]
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if start_date:
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filters.append(AuditLog.created_at >= start_date)
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if end_date:
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filters.append(AuditLog.created_at <= end_date)
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if user_id:
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filters.append(AuditLog.user_id == user_id)
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if action:
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filters.append(AuditLog.action == action)
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if resource_type:
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filters.append(AuditLog.resource_type == resource_type)
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if severity:
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filters.append(AuditLog.severity == severity)
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if search:
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filters.append(AuditLog.description.ilike(f"%{search}%"))
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# Count total matching records
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count_query = select(func.count()).select_from(AuditLog).where(and_(*filters))
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total_result = await db.execute(count_query)
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total = total_result.scalar() or 0
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# Fetch paginated results
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query = (
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select(AuditLog)
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.where(and_(*filters))
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.order_by(AuditLog.created_at.desc())
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.limit(limit)
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.offset(offset)
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)
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result = await db.execute(query)
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audit_logs = result.scalars().all()
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# Convert to response models
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items = [AuditLogResponse.from_orm(log) for log in audit_logs]
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logger.info(
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"Successfully retrieved audit logs",
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tenant_id=tenant_id,
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total=total,
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returned=len(items)
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)
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return AuditLogListResponse(
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items=items,
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total=total,
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limit=limit,
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offset=offset,
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has_more=(offset + len(items)) < total
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)
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except Exception as e:
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logger.error(
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"Failed to retrieve audit logs",
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error=str(e),
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tenant_id=tenant_id
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)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to retrieve audit logs: {str(e)}"
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)
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@router.get(
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route_builder.build_base_route("audit-logs/stats"),
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response_model=AuditLogStatsResponse
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)
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@require_user_role(['admin', 'owner'])
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async def get_audit_log_stats(
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tenant_id: UUID = Path(..., description="Tenant ID"),
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start_date: Optional[datetime] = Query(None, description="Filter logs from this date"),
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end_date: Optional[datetime] = Query(None, description="Filter logs until this date"),
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current_user: Dict[str, Any] = Depends(get_current_user_dep),
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db: AsyncSession = Depends(get_db)
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):
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"""
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Get audit log statistics for forecasting service.
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Requires admin or owner role.
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"""
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try:
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logger.info(
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"Retrieving audit log statistics",
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tenant_id=tenant_id,
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user_id=current_user.get("user_id")
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)
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# Build base filters
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filters = [AuditLog.tenant_id == tenant_id]
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if start_date:
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filters.append(AuditLog.created_at >= start_date)
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if end_date:
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filters.append(AuditLog.created_at <= end_date)
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# Total events
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count_query = select(func.count()).select_from(AuditLog).where(and_(*filters))
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total_result = await db.execute(count_query)
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total_events = total_result.scalar() or 0
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# Events by action
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action_query = (
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select(AuditLog.action, func.count().label('count'))
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.where(and_(*filters))
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.group_by(AuditLog.action)
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)
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action_result = await db.execute(action_query)
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events_by_action = {row.action: row.count for row in action_result}
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# Events by severity
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severity_query = (
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select(AuditLog.severity, func.count().label('count'))
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.where(and_(*filters))
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.group_by(AuditLog.severity)
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)
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severity_result = await db.execute(severity_query)
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events_by_severity = {row.severity: row.count for row in severity_result}
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# Events by resource type
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resource_query = (
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select(AuditLog.resource_type, func.count().label('count'))
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.where(and_(*filters))
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.group_by(AuditLog.resource_type)
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)
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resource_result = await db.execute(resource_query)
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events_by_resource_type = {row.resource_type: row.count for row in resource_result}
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# Date range
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date_range_query = (
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select(
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func.min(AuditLog.created_at).label('min_date'),
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func.max(AuditLog.created_at).label('max_date')
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)
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.where(and_(*filters))
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)
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date_result = await db.execute(date_range_query)
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date_row = date_result.one()
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logger.info(
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"Successfully retrieved audit log statistics",
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tenant_id=tenant_id,
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total_events=total_events
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)
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return AuditLogStatsResponse(
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total_events=total_events,
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events_by_action=events_by_action,
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events_by_severity=events_by_severity,
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events_by_resource_type=events_by_resource_type,
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date_range={
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"min": date_row.min_date,
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"max": date_row.max_date
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}
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)
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except Exception as e:
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logger.error(
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"Failed to retrieve audit log statistics",
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error=str(e),
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tenant_id=tenant_id
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)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to retrieve audit log statistics: {str(e)}"
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)
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@@ -15,7 +15,7 @@ from app.services.forecasting_alert_service import ForecastingAlertService
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from shared.service_base import StandardFastAPIService
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# Import API routers
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from app.api import forecasts, forecasting_operations, analytics, scenario_operations, internal_demo
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from app.api import forecasts, forecasting_operations, analytics, scenario_operations, internal_demo, audit
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class ForecastingService(StandardFastAPIService):
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@@ -163,6 +163,8 @@ service.setup_standard_endpoints()
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service.setup_custom_endpoints()
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# Include API routers
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# IMPORTANT: Register audit router FIRST to avoid route matching conflicts
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service.add_router(audit.router)
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service.add_router(forecasts.router)
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service.add_router(forecasting_operations.router)
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service.add_router(analytics.router)
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235
services/forecasting/app/ml/calendar_features.py
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235
services/forecasting/app/ml/calendar_features.py
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@@ -0,0 +1,235 @@
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"""
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Calendar-based Feature Engineering for Forecasting Service
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Generates calendar features for future date predictions
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"""
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import pandas as pd
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import structlog
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from typing import Dict, List, Any, Optional
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from datetime import datetime, date, time, timedelta
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from app.services.data_client import data_client
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logger = structlog.get_logger()
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class ForecastCalendarFeatures:
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"""
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Generates calendar-based features for future predictions
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Optimized for forecasting service (future dates only)
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"""
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def __init__(self):
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self.calendar_cache = {} # Cache calendar data per tenant
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async def get_calendar_for_tenant(
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self,
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tenant_id: str
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) -> Optional[Dict[str, Any]]:
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"""Get cached calendar for tenant"""
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if tenant_id in self.calendar_cache:
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return self.calendar_cache[tenant_id]
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calendar = await data_client.fetch_tenant_calendar(tenant_id)
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if calendar:
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self.calendar_cache[tenant_id] = calendar
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return calendar
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def _is_date_in_holiday_period(
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self,
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check_date: date,
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holiday_periods: List[Dict[str, Any]]
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) -> tuple[bool, Optional[str]]:
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"""Check if date is within any holiday period"""
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for period in holiday_periods:
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start = datetime.strptime(period["start_date"], "%Y-%m-%d").date()
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end = datetime.strptime(period["end_date"], "%Y-%m-%d").date()
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if start <= check_date <= end:
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return True, period["name"]
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return False, None
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def _is_school_hours_active(
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self,
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check_datetime: datetime,
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school_hours: Dict[str, Any]
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) -> bool:
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"""Check if datetime falls during school operating hours"""
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# Only weekdays
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if check_datetime.weekday() >= 5:
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return False
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check_time = check_datetime.time()
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# Morning session
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morning_start = datetime.strptime(
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school_hours["morning_start"], "%H:%M"
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).time()
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morning_end = datetime.strptime(
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school_hours["morning_end"], "%H:%M"
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).time()
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if morning_start <= check_time <= morning_end:
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return True
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# Afternoon session if exists
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if school_hours.get("has_afternoon_session", False):
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afternoon_start = datetime.strptime(
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school_hours["afternoon_start"], "%H:%M"
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).time()
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afternoon_end = datetime.strptime(
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school_hours["afternoon_end"], "%H:%M"
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).time()
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if afternoon_start <= check_time <= afternoon_end:
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return True
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return False
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def _calculate_school_proximity_intensity(
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self,
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check_datetime: datetime,
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school_hours: Dict[str, Any]
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) -> float:
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"""
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Calculate school proximity impact intensity
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Returns 0.0-1.0 based on drop-off/pick-up times
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"""
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# Only weekdays
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if check_datetime.weekday() >= 5:
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return 0.0
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check_time = check_datetime.time()
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morning_start = datetime.strptime(
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school_hours["morning_start"], "%H:%M"
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).time()
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morning_end = datetime.strptime(
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school_hours["morning_end"], "%H:%M"
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).time()
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# Morning drop-off peak (30 min before to 15 min after start)
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drop_off_start = (
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datetime.combine(date.today(), morning_start) - timedelta(minutes=30)
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).time()
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drop_off_end = (
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datetime.combine(date.today(), morning_start) + timedelta(minutes=15)
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).time()
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if drop_off_start <= check_time <= drop_off_end:
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return 1.0 # Peak
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# Morning pick-up peak (15 min before to 30 min after end)
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pickup_start = (
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datetime.combine(date.today(), morning_end) - timedelta(minutes=15)
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).time()
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pickup_end = (
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datetime.combine(date.today(), morning_end) + timedelta(minutes=30)
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).time()
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if pickup_start <= check_time <= pickup_end:
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return 1.0 # Peak
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# During school hours (moderate)
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if morning_start <= check_time <= morning_end:
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return 0.3
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return 0.0
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async def add_calendar_features(
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self,
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df: pd.DataFrame,
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tenant_id: str,
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date_column: str = "ds"
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) -> pd.DataFrame:
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"""
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Add calendar features to forecast dataframe
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Args:
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df: Forecast dataframe with future dates
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tenant_id: Tenant ID to fetch calendar
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date_column: Name of date column (default 'ds' for Prophet)
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Returns:
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DataFrame with calendar features added
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"""
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try:
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logger.info(
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"Adding calendar features to forecast",
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tenant_id=tenant_id,
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rows=len(df)
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)
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# Get calendar
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calendar = await self.get_calendar_for_tenant(tenant_id)
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if not calendar:
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logger.info(
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"No calendar available, using zero features",
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tenant_id=tenant_id
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)
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df["is_school_holiday"] = 0
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df["school_hours_active"] = 0
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df["school_proximity_intensity"] = 0.0
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return df
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holiday_periods = calendar.get("holiday_periods", [])
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school_hours = calendar.get("school_hours", {})
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# Initialize feature lists
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school_holidays = []
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hours_active = []
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proximity_intensity = []
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# Process each row
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for idx, row in df.iterrows():
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row_date = pd.to_datetime(row[date_column])
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# Check holiday
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is_holiday, _ = self._is_date_in_holiday_period(
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row_date.date(),
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holiday_periods
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)
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school_holidays.append(1 if is_holiday else 0)
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# Check school hours and proximity (if datetime has time component)
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if hasattr(row_date, 'hour'):
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hours_active.append(
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1 if self._is_school_hours_active(row_date, school_hours) else 0
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)
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proximity_intensity.append(
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self._calculate_school_proximity_intensity(row_date, school_hours)
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)
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else:
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hours_active.append(0)
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proximity_intensity.append(0.0)
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# Add features
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df["is_school_holiday"] = school_holidays
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df["school_hours_active"] = hours_active
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df["school_proximity_intensity"] = proximity_intensity
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logger.info(
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"Calendar features added to forecast",
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tenant_id=tenant_id,
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holidays_in_forecast=sum(school_holidays)
|
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)
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return df
|
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|
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except Exception as e:
|
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logger.error(
|
||||
"Error adding calendar features to forecast",
|
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tenant_id=tenant_id,
|
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error=str(e)
|
||||
)
|
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# Return with zero features on error
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df["is_school_holiday"] = 0
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df["school_hours_active"] = 0
|
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df["school_proximity_intensity"] = 0.0
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return df
|
||||
|
||||
|
||||
# Global instance
|
||||
forecast_calendar_features = ForecastCalendarFeatures()
|
||||
@@ -61,5 +61,72 @@ class DataClient:
|
||||
logger.error(f"Error fetching weather data: {e}", tenant_id=tenant_id)
|
||||
return []
|
||||
|
||||
async def fetch_tenant_calendar(
|
||||
self,
|
||||
tenant_id: str
|
||||
) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
Fetch tenant's assigned school calendar
|
||||
Returns None if no calendar assigned
|
||||
"""
|
||||
try:
|
||||
location_context = await self.external_client.get_tenant_location_context(
|
||||
tenant_id=tenant_id
|
||||
)
|
||||
|
||||
if location_context and location_context.get("calendar"):
|
||||
logger.info(
|
||||
"Fetched calendar for tenant",
|
||||
tenant_id=tenant_id,
|
||||
calendar_name=location_context["calendar"].get("calendar_name")
|
||||
)
|
||||
return location_context["calendar"]
|
||||
else:
|
||||
logger.info("No calendar assigned to tenant", tenant_id=tenant_id)
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching calendar: {e}", tenant_id=tenant_id)
|
||||
return None
|
||||
|
||||
async def check_school_holiday(
|
||||
self,
|
||||
calendar_id: str,
|
||||
check_date: str,
|
||||
tenant_id: str
|
||||
) -> bool:
|
||||
"""
|
||||
Check if a date is a school holiday
|
||||
|
||||
Args:
|
||||
calendar_id: School calendar UUID
|
||||
check_date: Date in ISO format (YYYY-MM-DD)
|
||||
tenant_id: Tenant ID for auth
|
||||
|
||||
Returns:
|
||||
True if school holiday, False otherwise
|
||||
"""
|
||||
try:
|
||||
result = await self.external_client.check_is_school_holiday(
|
||||
calendar_id=calendar_id,
|
||||
check_date=check_date,
|
||||
tenant_id=tenant_id
|
||||
)
|
||||
|
||||
if result:
|
||||
is_holiday = result.get("is_holiday", False)
|
||||
if is_holiday:
|
||||
logger.debug(
|
||||
"School holiday detected",
|
||||
date=check_date,
|
||||
holiday_name=result.get("holiday_name")
|
||||
)
|
||||
return is_holiday
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error checking school holiday: {e}", date=check_date)
|
||||
return False
|
||||
|
||||
# Global instance - same as before, but much simpler implementation
|
||||
data_client = DataClient()
|
||||
Reference in New Issue
Block a user