from dotenv import load_dotenv, find_dotenv load_dotenv(find_dotenv()) import os import modules.logger_tool as logger log_name = 'api_routers_database_init_schools' log_dir = os.getenv("LOG_PATH", "/logs") # Default path as fallback logging = logger.get_logger( name=log_name, log_level=os.getenv("LOG_LEVEL", "DEBUG"), log_path=log_dir, log_file=log_name, runtime=True, log_format='default' ) from fastapi import APIRouter, File, UploadFile, Form, HTTPException, BackgroundTasks import pandas as pd import modules.database.tools.neo4j_driver_tools as driver from modules.database.tools.neo4j_session_tools import get_node_by_unique_id import modules.database.init.init_school_timetable as init_school_timetable import modules.database.init.init_worker_timetable as init_worker_timetable from modules.database.schemas.nodes.schools.schools import SchoolNode import modules.database.init.xl_tools as xl import json router = APIRouter() @router.post("/upload-school-timetable") async def upload_school_timetable( file: UploadFile = File(...), db_name: str = Form(...), unique_id: str = Form(...), school_uuid: str = Form(...), school_name: str = Form(...), school_website: str = Form(...), path: str = Form(...) ): school_node = SchoolNode( unique_id=unique_id, school_uuid=school_uuid, school_name=school_name, school_website=school_website, path=path ) if file.content_type != 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet': return {"status": "Error", "message": "Invalid file format"} logging.info(f"Uploading timetable for {db_name} from {file.filename}") dataframes = xl.create_dataframes_from_fastapiuploadfile(file) return init_school_timetable.create_school_timetable(dataframes, db_name, school_node) @router.post("/upload-worker-timetable") async def upload_worker_timetable( background_tasks: BackgroundTasks, file: UploadFile = File(...), worker_node: str = Form(...) ): if file.content_type != 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet': raise HTTPException(status_code=422, detail="Invalid file format") try: worker_node_data = json.loads(worker_node) logging.info(f"Uploading worker timetable for {worker_node_data['teacher_code']} from {file.filename} for {worker_node_data['worker_db_name']}") logging.debug(f"Worker node data: {worker_node_data}") # Read file content into memory file_content = await file.read() # Schedule the processing of the timetable in the background background_tasks.add_task( process_worker_timetable, file_content, worker_node_data ) return { "status": "Accepted", "message": "Processing of teacher timetable started" } except Exception as e: logging.error(f"Error handling timetable upload: {str(e)}") raise HTTPException(status_code=500, detail=str(e)) async def process_worker_timetable(file_content, worker_node_data): neo_driver = driver.get_driver(db_name=worker_node_data['worker_db_name']) if neo_driver is None: logging.error(f"Failed to connect to the database {worker_node_data['worker_db_name']}") return try: # Create a DataFrame from the file content from io import BytesIO timetable_df = pd.read_excel(BytesIO(file_content)) # Get the school version of the worker node logging.info(f"Getting school worker node for {worker_node_data['unique_id']} from {worker_node_data['worker_db_name']}") with neo_driver.session(database=worker_node_data['worker_db_name']) as neo_session: school_worker_node = get_node_by_unique_id(session=neo_session, unique_id=worker_node_data['unique_id']) if school_worker_node is None: error_msg = f"School worker node not found for unique_id: {worker_node_data['unique_id']}" logging.error(error_msg) raise Exception(error_msg) logging.debug(f"School worker node found: {school_worker_node}") logging.info(f"Initializing worker timetable for school worker: {school_worker_node['teacher_code']}") init_worker_timetable.init_worker_timetable(timetable_df, school_worker_node) logging.info(f"Worker timetable initialized for school worker: {school_worker_node['teacher_code']}") except Exception as e: logging.error(f"Error processing worker timetable: {str(e)}") raise finally: logging.info(f"Closing driver for {worker_node_data['worker_db_name']}") driver.close_driver(neo_driver)