Enhance logging. (#613)

This change adds line numbers to log messages, and synergizes with
Copilot specific changes that make exception handling in some of the
copilot pipeline more localized, making it easier to track down issues
with the proxy. There's no fundamental change in business logic.

src/codegate/codegate_logging.py

@@ -88,6 +88,7 @@ def setup_logging(
             [
                 structlog.processors.CallsiteParameter.MODULE,
                 structlog.processors.CallsiteParameter.PATHNAME,
+                structlog.processors.CallsiteParameter.LINENO,
             ]
         ),
     ]

src/codegate/providers/copilot/pipeline.py

@@ -93,15 +93,19 @@ async def process_body(
         """Common processing logic for all strategies"""
         try:
             normalized_body = self.normalizer.normalize(body)
+        except Exception as e:
+            logger.error(f"Pipeline processing error: {e}")
+            return body, None
 
-            headers_dict = {}
-            for header in headers:
-                try:
-                    name, value = header.split(":", 1)
-                    headers_dict[name.strip().lower()] = value.strip()
-                except ValueError:
-                    continue
+        headers_dict = {}
+        for header in headers:
+            try:
+                name, value = header.split(":", 1)
+                headers_dict[name.strip().lower()] = value.strip()
+            except ValueError:
+                continue
 
+        try:
             result = await self.instance.process_request(
                 request=normalized_body,
                 provider=self.provider_name,
@@ -111,25 +115,33 @@ async def process_body(
                 extra_headers=CopilotPipeline._get_copilot_headers(headers_dict),
                 is_copilot=True,
             )
+        except Exception as e:
+            logger.error(f"Pipeline processing error: {e}")
+            return body, None
 
-            if result.context.shortcut_response:
+        if result.context.shortcut_response:
+            try:
                 # Return shortcut response to the user
                 body = CopilotPipeline._create_shortcut_response(
                     result, normalized_body.get("model", "gpt-4o-mini")
                 )
                 logger.info(f"Pipeline created shortcut response: {body}")
+            except Exception as e:
+                logger.error(f"Pipeline processing error: {e}")
+                return body, None
 
-            elif result.request:
+        elif result.request:
+            try:
                 # the pipeline did modify the request, return to the user
                 # in the original LLM format
                 body = self.normalizer.denormalize(result.request)
                 # Uncomment the below to debug the request
                 # logger.debug(f"Pipeline processed request: {body}")
 
-            return body, result.context
-        except Exception as e:
-            logger.error(f"Pipeline processing error: {e}")
-            return body, None
+                return body, result.context
+            except Exception as e:
+                logger.error(f"Pipeline processing error: {e}")
+                return body, None
 
 
 class CopilotFimNormalizer: