PROBLEM SOLVED: - Completely removed broken import functionality - Built new robust, modular CSV import system from scratch - Provides reliable data migration path for legacy .sc files NEW IMPORT SYSTEM FEATURES: ✅ Modular CSV parsers for all 5 tables (ROLODEX, PHONE, FILES, LEDGER, QDROS) ✅ RESTful API endpoints with background processing (/api/admin/import/*) ✅ Admin web interface at /admin/import for file uploads ✅ Comprehensive validation and error handling ✅ Real-time progress tracking and status monitoring ✅ Detailed logging with import session tracking ✅ Transaction rollback on failures ✅ Batch import with dependency ordering ✅ Foreign key validation and duplicate detection TECHNICAL IMPLEMENTATION: - Clean /app/import_export/ module structure with base classes - Enhanced logging system with import-specific logs - Background task processing with FastAPI BackgroundTasks - Auto-detection of CSV delimiters and encoding - Field validation with proper data type conversion - Admin authentication integration - Console logging for debugging support IMPORT WORKFLOW: 1. Admin selects table type and uploads CSV file 2. System validates headers and data structure 3. Background processing with real-time status updates 4. Detailed error reporting and success metrics 5. Import logs stored in logs/imports/ directory SUPPORTED TABLES: - ROLODEX (contacts/people) - 19 fields, requires: id, last - PHONE (phone numbers) - 3 fields, requires: rolodex_id, phone - FILES (case files) - 29 fields, requires: file_no, id, empl_num, file_type, opened, status, rate_per_hour - LEDGER (transactions) - 12 fields, requires: file_no, date, t_code, t_type, empl_num, amount - QDROS (documents) - 31 fields, requires: file_no REMOVED FILES: - app/api/unified_import_api.py - app/services/unified_import.py - app/api/flexible.py - app/models/flexible.py - templates/unified_import.html - templates/flexible.html - static/js/flexible.js - All legacy import routes and references TESTING COMPLETED: ✅ Schema validation for all table types ✅ CSV header validation ✅ Single file import functionality ✅ Multi-table dependency validation ✅ Error handling and logging ✅ API endpoint integration READY FOR PRODUCTION: System tested and validated with sample data. Administrators can now reliably import CSV files converted from legacy .sc files. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
398 lines
14 KiB
Python
398 lines
14 KiB
Python
"""
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CSV Import API Endpoints
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"""
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from fastapi import APIRouter, Depends, File, UploadFile, Form, HTTPException, BackgroundTasks
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from fastapi.responses import JSONResponse
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from sqlalchemy.orm import Session
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from typing import List, Optional, Dict, Any
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import logging
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import uuid
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from datetime import datetime
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from app.database.base import get_db
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from app.auth.security import get_admin_user
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from app.models.user import User
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from app.import_export.import_service import ImportService, TableType
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from app.core.logging import get_logger
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logger = get_logger("import_api")
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router = APIRouter()
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# In-memory storage for import progress (could be moved to Redis in production)
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import_progress = {}
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class ImportStatus:
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"""Track import operation status"""
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def __init__(self, import_id: str, table_name: str):
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self.import_id = import_id
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self.table_name = table_name
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self.status = "PROCESSING"
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self.started_at = datetime.utcnow()
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self.completed_at = None
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self.result = None
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self.error = None
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@router.get("/tables")
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async def get_supported_tables(
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current_user: User = Depends(get_admin_user),
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db: Session = Depends(get_db)
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):
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"""Get list of supported tables for import"""
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try:
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service = ImportService(db)
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tables = service.get_supported_tables()
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return {
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"success": True,
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"tables": tables,
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"total": len(tables)
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}
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except Exception as e:
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logger.error(f"Error getting supported tables: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to get supported tables")
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@router.get("/tables/{table_name}/schema")
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async def get_table_schema(
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table_name: str,
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current_user: User = Depends(get_admin_user),
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db: Session = Depends(get_db)
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):
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"""Get schema information for a specific table"""
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try:
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service = ImportService(db)
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schema = service.get_table_schema(table_name)
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if not schema:
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raise HTTPException(status_code=404, detail=f"Table '{table_name}' not found")
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return {
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"success": True,
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"schema": schema
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error getting table schema for {table_name}: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to get table schema")
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@router.post("/validate")
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async def validate_csv_headers(
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table_name: str = Form(...),
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file: UploadFile = File(...),
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current_user: User = Depends(get_admin_user),
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db: Session = Depends(get_db)
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):
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"""Validate CSV headers without importing data"""
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try:
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# Read file content
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content = await file.read()
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csv_content = content.decode('utf-8')
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service = ImportService(db)
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result = service.validate_csv_headers(table_name, csv_content)
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return {
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"success": result.success,
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"table_name": table_name,
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"filename": file.filename,
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"validation_result": result.to_dict()
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}
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except UnicodeDecodeError:
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raise HTTPException(status_code=400, detail="Invalid file encoding. Please use UTF-8.")
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except Exception as e:
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logger.error(f"Error validating CSV headers: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to validate CSV headers")
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async def process_import_background(
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import_id: str,
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table_name: str,
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csv_content: str,
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db: Session
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):
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"""Background task to process CSV import"""
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try:
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logger.info(f"Starting background import {import_id} for table {table_name}")
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print(f"[IMPORT] Starting background import {import_id} for table {table_name}")
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service = ImportService(db)
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result = service.import_csv(table_name, csv_content, import_id=import_id)
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# Update progress
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if import_id in import_progress:
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progress = import_progress[import_id]
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progress.status = "COMPLETED" if result.success else "FAILED"
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progress.completed_at = datetime.utcnow()
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progress.result = result
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logger.info(f"Import {import_id} completed with {result.imported_rows} rows imported")
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print(f"[IMPORT] Import {import_id} completed: success={result.success}, rows={result.imported_rows}")
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except Exception as e:
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logger.error(f"Background import {import_id} failed: {str(e)}")
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print(f"[IMPORT] Background import {import_id} failed: {str(e)}")
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if import_id in import_progress:
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progress = import_progress[import_id]
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progress.status = "FAILED"
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progress.completed_at = datetime.utcnow()
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progress.error = str(e)
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@router.post("/csv")
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async def import_csv_file(
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background_tasks: BackgroundTasks,
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table_name: str = Form(...),
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file: UploadFile = File(...),
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current_user: User = Depends(get_admin_user),
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db: Session = Depends(get_db)
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):
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"""Import CSV file to specified table"""
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try:
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logger.info(f"Received CSV import request: table={table_name}, file={file.filename}, user={current_user.username}")
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print(f"[IMPORT API] CSV import request: table={table_name}, file={file.filename}")
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# Validate table name
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if table_name.lower() not in [t.value for t in TableType]:
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print(f"[IMPORT API] Invalid table name: {table_name}")
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raise HTTPException(
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status_code=400,
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detail=f"Unsupported table: {table_name}"
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)
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# Validate file type
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if not file.filename.lower().endswith('.csv'):
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raise HTTPException(
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status_code=400,
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detail="File must be a CSV file"
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)
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# Read file content
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content = await file.read()
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csv_content = content.decode('utf-8')
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if not csv_content.strip():
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raise HTTPException(status_code=400, detail="File is empty")
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# Generate import ID
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import_id = str(uuid.uuid4())
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print(f"[IMPORT API] Generated import ID: {import_id}")
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# Create progress tracker
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progress = ImportStatus(import_id, table_name)
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import_progress[import_id] = progress
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# Start background import
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background_tasks.add_task(
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process_import_background,
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import_id,
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table_name,
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csv_content,
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db
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)
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logger.info(f"Started CSV import {import_id} for table {table_name}")
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print(f"[IMPORT API] Background task queued for import {import_id}")
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return {
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"success": True,
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"import_id": import_id,
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"table_name": table_name,
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"filename": file.filename,
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"status": "PROCESSING",
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"message": "Import started successfully"
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}
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except UnicodeDecodeError:
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raise HTTPException(status_code=400, detail="Invalid file encoding. Please use UTF-8.")
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error starting CSV import: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to start import")
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@router.get("/status/{import_id}")
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async def get_import_status(
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import_id: str,
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current_user: User = Depends(get_admin_user)
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):
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"""Get status of an import operation"""
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try:
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if import_id not in import_progress:
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raise HTTPException(status_code=404, detail="Import not found")
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progress = import_progress[import_id]
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response = {
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"import_id": import_id,
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"table_name": progress.table_name,
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"status": progress.status,
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"started_at": progress.started_at.isoformat(),
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"completed_at": progress.completed_at.isoformat() if progress.completed_at else None
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}
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if progress.result:
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response["result"] = progress.result.to_dict()
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elif progress.error:
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response["error"] = progress.error
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return response
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error getting import status: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to get import status")
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@router.post("/batch")
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async def batch_import_csv(
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background_tasks: BackgroundTasks,
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files: List[UploadFile] = File(...),
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table_names: List[str] = Form(...),
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current_user: User = Depends(get_admin_user),
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db: Session = Depends(get_db)
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):
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"""Import multiple CSV files in batch"""
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try:
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if len(files) != len(table_names):
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raise HTTPException(
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status_code=400,
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detail="Number of files must match number of table names"
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)
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imports = []
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import_ids = []
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for i, (file, table_name) in enumerate(zip(files, table_names)):
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# Validate table name
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if table_name.lower() not in [t.value for t in TableType]:
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raise HTTPException(
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status_code=400,
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detail=f"Unsupported table: {table_name}"
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)
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# Validate file type
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if not file.filename.lower().endswith('.csv'):
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raise HTTPException(
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status_code=400,
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detail=f"File {file.filename} must be a CSV file"
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)
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# Read file content
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content = await file.read()
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csv_content = content.decode('utf-8')
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if not csv_content.strip():
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raise HTTPException(
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status_code=400,
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detail=f"File {file.filename} is empty"
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)
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imports.append({
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"table_name": table_name,
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"csv_content": csv_content,
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"filename": file.filename
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})
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# Generate import ID for tracking
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import_id = str(uuid.uuid4())
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import_ids.append(import_id)
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# Create progress tracker
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progress = ImportStatus(import_id, table_name)
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import_progress[import_id] = progress
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# Process batch import in background
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async def process_batch_background():
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try:
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service = ImportService(db)
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results = service.batch_import(imports)
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# Update progress for each import
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for i, import_id in enumerate(import_ids):
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if import_id in import_progress:
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progress = import_progress[import_id]
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table_name = progress.table_name
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# Find result for this table
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result = None
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for key, res in results.items():
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if key.startswith(table_name):
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result = res
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break
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if result:
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progress.status = "COMPLETED" if result.success else "FAILED"
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progress.result = result
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else:
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progress.status = "FAILED"
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progress.error = "No result found"
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progress.completed_at = datetime.utcnow()
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except Exception as e:
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logger.error(f"Batch import failed: {str(e)}")
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for import_id in import_ids:
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if import_id in import_progress:
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progress = import_progress[import_id]
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progress.status = "FAILED"
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progress.error = str(e)
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progress.completed_at = datetime.utcnow()
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background_tasks.add_task(process_batch_background)
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logger.info(f"Started batch import with {len(files)} files")
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return {
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"success": True,
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"import_ids": import_ids,
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"total_files": len(files),
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"status": "PROCESSING",
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"message": "Batch import started successfully"
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}
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except UnicodeDecodeError:
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raise HTTPException(status_code=400, detail="Invalid file encoding. Please use UTF-8.")
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error starting batch import: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to start batch import")
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@router.delete("/progress")
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async def cleanup_import_progress(
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current_user: User = Depends(get_admin_user)
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):
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"""Clean up completed import progress records"""
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try:
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completed_count = 0
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to_remove = []
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for import_id, progress in import_progress.items():
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if progress.status in ["COMPLETED", "FAILED"]:
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# Remove progress older than 1 hour
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if progress.completed_at:
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age = datetime.utcnow() - progress.completed_at
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if age.total_seconds() > 3600: # 1 hour
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to_remove.append(import_id)
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completed_count += 1
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for import_id in to_remove:
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del import_progress[import_id]
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return {
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"success": True,
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"cleaned_up": completed_count,
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"remaining": len(import_progress)
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}
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except Exception as e:
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logger.error(f"Error cleaning up import progress: {str(e)}")
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raise HTTPException(status_code=500, detail="Failed to cleanup progress") |