update the csv file

.env.example

@@ -7,3 +7,6 @@ XAI_MODEL_S=grok-3-mini
 XAI_MODEL_M=grok-3-fast
 XAI_MODEL_L=grok-3-latest
 XAI_MODEL_XL=grok-4-0709
+
+# CSV_FOR_SPONSORSHIP
+CSV_SPONSORSHIP=2025-07-17-Worker.csv

app/logging_config.py

@@ -0,0 +1,20 @@
+"""
+Logging configuration for the application.
+This module should be imported before any other application modules.
+"""
+
+import logging
+
+
+def setup_logging(level=logging.INFO):
+    """
+    Configure logging for the entire application.
+
+    Args:
+        level: Logging level (default: logging.INFO)
+    """
+    logging.basicConfig(
+        level=level,
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+        force=True,  # Override any existing configuration
+    )

app/main.py

@@ -1,14 +1,23 @@
 import asyncio
+import logging
 from typing import List
 
 from fastapi import FastAPI, Query
 from fastapi.responses import StreamingResponse
 from fastapi_mcp import FastApiMCP
 
-from app.models import CompanySearchResult
-from app.services.ai_investment import investment_agent
-from app.services.search import search_companies
-from app.utils import lessthan_x
+from app.logging_config import setup_logging
+
+# Set up logging FIRST, before importing any app modules that might log
+setup_logging()
+
+# Import app modules after logging is configured
+from app.models import CompanySearchResult  # noqa: E402
+from app.services.ai_investment import investment_agent  # noqa: E402
+from app.services.search import search_companies  # noqa: E402
+from app.utils import lessthan_x  # noqa: E402
+
+logger = logging.getLogger(__name__)
 
 app = FastAPI()
 mcp = FastApiMCP(app)

app/services/search.py

@@ -1,3 +1,4 @@
+import logging
 import os
 from typing import List
 
@@ -6,10 +7,16 @@
 from pandas import Series
 
 from app.models import CompanySearchResult
+from app.utils import validate_env_variables
 
+logger = logging.getLogger(__name__)
+
+# Validate all required environment variables
+(csv_file_name,) = validate_env_variables(["CSV_SPONSORSHIP"])
+logger.info(f"The CSV name is {csv_file_name}")
 # Load CSV into memory at startup
 CSV_PATH = os.path.join(
-    os.path.dirname(os.path.dirname(__file__)), "..", "csv", "2025-07-03-Worker.csv"
+    os.path.dirname(os.path.dirname(__file__)), "..", "csv", csv_file_name
 )
 skilled_worker_data_current = pd.read_csv(CSV_PATH)