fix(transcription): [2f388f42] finalize and fix AI insights feature

This commit resolves all outstanding issues with the AI Insights feature.

- Corrects the transcript formatting logic in  to properly handle the database JSON structure, ensuring the AI receives the correct context.
- Fixes the Gemini API client by using the correct model name ('gemini-2.0-flash') and the proper client initialization.
- Updates  to securely pass the API key as an environment variable to the container.
- Cleans up the codebase by removing temporary debugging endpoints.
- Adds  script for programmatic updates.
- Updates documentation with troubleshooting insights from the implementation process.

test_export.py

@@ -0,0 +1,34 @@
+
+import requests
+import os
+
+def test_export_endpoint():
+    # The app runs on port 8000 inside the container.
+    # The root_path is /ce, so the full URL is http://localhost:8000/ce/api/companies/export
+    url = "http://localhost:8000/ce/api/companies/export"
+    
+    print(f"--- Testing Export Endpoint: GET {url} ---")
+    
+    try:
+        response = requests.get(url)
+        response.raise_for_status() # Will raise an exception for 4xx/5xx errors
+        
+        # Print the first few hundred characters to verify content
+        print("\n--- Response Headers ---")
+        print(response.headers)
+        
+        print("\n--- CSV Output (first 500 chars) ---")
+        print(response.text[:500])
+
+        # A simple check
+        if "Metric Value" in response.text and "Source URL" in response.text:
+            print("\n[SUCCESS] New columns found in export.")
+        else:
+            print("\n[FAILURE] New columns seem to be missing from the export.")
+
+    except requests.exceptions.RequestException as e:
+        print(f"\n[FAILURE] Could not connect to the endpoint: {e}")
+
+if __name__ == "__main__":
+    test_export_endpoint()
+