feat: Update investor report generation and HTML template to include fund details and improve data handling

app/main.py

@@ -61,16 +61,18 @@ async def parse_csv(
     - Handles AUM, fund sizes, and check sizes as integers
 
     **For companies:**
-    - Expected columns: Name, Website, Investor, Final Investor Profile (company profile)
+    - Expected columns: Name, Website, Perplexity Gap Output (or Final Investor Profile)
     - 100% manual JSON parsing - no LLM needed
-    - Extracts company details, executives, investors, and client categories
-    - Automatically links companies to investors in database
+    - **Only extracts:** founded_year and key_executives
+    - **Only updates companies already in the database** (syncs with existing records)
+    - Skips companies not found in the database
 
     **Benefits:**
     - Fast processing (5-10s per record)
     - Low cost (minimal or no LLM usage)
     - Accurate data extraction
     - Automatic database persistence
+    - Safe: won't create duplicate companies
     """
     # Read uploaded CSV with pandas
     content = await file.read()