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Admin router for dashboard metrics and loan management.
Provides endpoints for admin analytics and bulk operations.
"""
from typing import Optional
from app.data.mock_profiles import PROFILE_DESCRIPTIONS
from app.schemas import AdminLoansResponse, AdminMetrics, LoanListItem, MessageResponse
from app.services.firebase_service import firebase_service
from app.utils.logger import default_logger as logger
from fastapi import APIRouter, HTTPException, Query, status
router = APIRouter()
@router.get("/metrics", response_model=AdminMetrics)
async def get_admin_metrics():
"""
Get aggregated metrics for admin dashboard.
Returns:
AdminMetrics with loan statistics and analytics
"""
try:
logger.info("Fetching admin metrics")
summary = firebase_service.get_admin_summary()
metrics = AdminMetrics(
total_applications=summary.get("total_applications", 0),
approved_count=summary.get("approved_count", 0),
rejected_count=summary.get("rejected_count", 0),
adjust_count=summary.get("adjust_count", 0),
avg_loan_amount=round(summary.get("avg_loan_amount", 0), 2),
avg_emi=round(summary.get("avg_emi", 0), 2),
avg_credit_score=round(summary.get("avg_credit_score", 0), 0),
today_applications=summary.get("today_applications", 0),
risk_distribution=summary.get("risk_distribution", {}),
)
return metrics
except Exception as e:
logger.error(f"Error fetching admin metrics: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to fetch admin metrics",
)
@router.get("/loans", response_model=AdminLoansResponse)
async def get_all_loans(
page: int = Query(1, ge=1, description="Page number"),
page_size: int = Query(20, ge=1, le=100, description="Items per page"),
decision: Optional[str] = Query(None, description="Filter by decision"),
risk_band: Optional[str] = Query(None, description="Filter by risk band"),
):
"""
Get all loan applications with pagination and filtering.
Args:
page: Page number (starts at 1)
page_size: Number of items per page
decision: Optional filter by decision (APPROVED/REJECTED/ADJUST)
risk_band: Optional filter by risk band (A/B/C)
Returns:
AdminLoansResponse with paginated loan list
"""
try:
logger.info(f"Fetching loans: page={page}, page_size={page_size}")
# Calculate offset
offset = (page - 1) * page_size
# Fetch loans
all_loans = firebase_service.get_all_loans(limit=page_size * 10, offset=0)
# Apply filters
filtered_loans = all_loans
if decision:
filtered_loans = [
loan for loan in filtered_loans if loan.get("decision") == decision
]
if risk_band:
filtered_loans = [
loan for loan in filtered_loans if loan.get("risk_band") == risk_band
]
# Get total count
total = len(filtered_loans)
# Apply pagination
start_idx = offset
end_idx = start_idx + page_size
paginated_loans = filtered_loans[start_idx:end_idx]
# Format loan list
loan_items = []
for loan in paginated_loans:
# Get user profile for full name
user_id = loan.get("user_id")
user_profile = firebase_service.get_user_profile(user_id)
full_name = (
user_profile.get("full_name", "User") if user_profile else "User"
)
loan_items.append(
LoanListItem(
loan_id=loan.get("loan_id"),
user_id=loan.get("user_id"),
full_name=full_name,
requested_amount=loan.get("requested_amount", 0),
approved_amount=loan.get("approved_amount", 0),
decision=loan.get("decision", "PENDING"),
risk_band=loan.get("risk_band", "C"),
created_at=loan.get("created_at"),
)
)
response = AdminLoansResponse(
loans=loan_items, total=total, page=page, page_size=page_size
)
return response
except Exception as e:
logger.error(f"Error fetching loans: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to fetch loans",
)
@router.get("/stats/summary")
async def get_stats_summary():
"""
Get detailed statistics summary.
Returns:
Detailed statistics including approval rates, average amounts, etc.
"""
try:
logger.info("Fetching detailed statistics")
summary = firebase_service.get_admin_summary()
total = summary.get("total_applications", 0)
approved = summary.get("approved_count", 0)
rejected = summary.get("rejected_count", 0)
adjust = summary.get("adjust_count", 0)
# Calculate rates
approval_rate = (approved / total * 100) if total > 0 else 0
rejection_rate = (rejected / total * 100) if total > 0 else 0
adjustment_rate = (adjust / total * 100) if total > 0 else 0
stats = {
"overview": {
"total_applications": total,
"approved_count": approved,
"rejected_count": rejected,
"adjust_count": adjust,
"today_applications": summary.get("today_applications", 0),
},
"rates": {
"approval_rate": round(approval_rate, 2),
"rejection_rate": round(rejection_rate, 2),
"adjustment_rate": round(adjustment_rate, 2),
},
"averages": {
"avg_loan_amount": round(summary.get("avg_loan_amount", 0), 2),
"avg_emi": round(summary.get("avg_emi", 0), 2),
"avg_credit_score": round(summary.get("avg_credit_score", 0), 0),
},
"risk_distribution": summary.get("risk_distribution", {}),
}
return stats
except Exception as e:
logger.error(f"Error fetching admin stats: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to fetch stats",
)
@router.get("/user/{user_id}/profile")
async def get_user_profile_details(user_id: str):
"""
Get detailed user profile including assigned mock profile info.
Args:
user_id: User ID
Returns:
User profile with mock profile metadata
"""
try:
profile = firebase_service.get_user_profile(user_id)
if not profile:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="User profile not found"
)
# Determine which mock profile category based on credit score
credit_score = profile.get("mock_credit_score", 0)
profile_category = "UNKNOWN"
if credit_score >= 740:
profile_category = "YOUNG_PROFESSIONAL"
elif credit_score >= 670:
profile_category = "MID_CAREER"
elif credit_score >= 640:
profile_category = "ENTRY_LEVEL"
# Get profile description
profile_info = PROFILE_DESCRIPTIONS.get(profile_category, {})
return {
"user_id": user_id,
"profile_category": profile_category,
"profile_info": profile_info,
"financial_data": {
"monthly_income": profile.get("monthly_income"),
"existing_emi": profile.get("existing_emi"),
"credit_score": profile.get("mock_credit_score"),
"segment": profile.get("segment"),
"max_eligible_amount": profile.get("max_eligible_amount"),
"risk_category": profile.get("risk_category"),
},
"kyc_data": {
"kyc_verified": profile.get("kyc_verified"),
"pan_number": profile.get("pan_number"),
"bank_name": profile.get("bank_name"),
"employment_type": profile.get("employment_type"),
"employment_years": profile.get("employment_years"),
},
"full_profile": profile,
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error fetching user profile: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to fetch user profile",
)
@router.get("/profiles/list")
async def list_mock_profiles():
"""
List all available mock profile templates.
Returns:
List of mock profile descriptions
"""
try:
return {
"profiles": PROFILE_DESCRIPTIONS,
"total_profiles": len(PROFILE_DESCRIPTIONS),
"assignment": "Random profile assigned on signup/login",
}
except Exception as e:
logger.error(f"Error listing profiles: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to list profiles",
)
@router.get("/health")
async def health_check():
"""
Health check endpoint for admin services.
Returns:
Health status
"""
try:
# Check Firebase connection
firebase_status = (
"connected" if firebase_service.initialized else "disconnected"
)
return {
"status": "healthy",
"firebase": firebase_status,
"timestamp": __import__("datetime").datetime.utcnow().isoformat(),
}
except Exception as e:
logger.error(f"Health check failed: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Health check failed",
)
@router.post("/cleanup")
async def cleanup_old_data():
"""
Cleanup old sessions and temporary data.
Returns:
Cleanup result
"""
try:
logger.info("Running cleanup tasks")
from app.services.session_service import session_service
# Cleanup old sessions (older than 24 hours)
deleted_sessions = session_service.cleanup_old_sessions(max_age_hours=24)
return MessageResponse(
message=f"Cleanup completed: {deleted_sessions} sessions removed",
success=True,
)
except Exception as e:
logger.error(f"Cleanup error: {str(e)}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Cleanup failed",
)
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