Update .gitignore to exclude __pycache__ in salary_analytics directory and enhance run_streaming_pipeline endpoint to enforce file presence for CSV source.

.gitignore

@@ -14,5 +14,4 @@ __pycache__
 __pycache__/*
 output/*
 .idea/*
-
+salary_analytics/__pycache__/*
-

salary_analytics/api.py

@@ -6,7 +6,7 @@ from fastapi import FastAPI, HTTPException, BackgroundTasks, UploadFile, File, D
 from fastapi.responses import FileResponse
 from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
-from typing import Optional, Dict, List
+from typing import Optional, Dict, List, Union
 import os
 import socket
 import logging
@@ -298,11 +298,8 @@ async def get_file_if_csv(source: str, file: Optional[UploadFile] = File(None)):
 async def run_streaming_pipeline(
     source: str = "db",
     batch_size: int = 10000,
-    UploadFile: str=''):
+    file: Optional[Union[UploadFile, str]] = File(None)
-
+):
-    file = None
-    if len(UploadFile) > 0 :
-        file : Optional[UploadFile] = Depends(get_file_if_csv)
     """
     Run the complete salary analytics pipeline in batches.
     
@@ -318,6 +315,9 @@ async def run_streaming_pipeline(
         if source not in ['db', 'csv']:
             raise HTTPException(status_code=400, detail="Source must be either 'db' or 'csv'")
         
+        if source == 'csv' and not file:
+            raise HTTPException(status_code=400, detail="File must be provided when loading from CSV")
+        
         # Initialize data loader
         data_loader = DataLoader()
         data_loader.chunk_size = batch_size
@@ -330,8 +330,6 @@ async def run_streaming_pipeline(
         responses = []
         batch_number = 0
 
-        print("Sal************************", source)
-
         def preprocess_chunk(chunk):
             """Preprocess a chunk of data with the same logic as DataLoader."""
             # Convert dates