chore: error reporting and naming (#708)

* chore: error reporting and naming

* chore: error reporting and naming

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>

server/reflector/pipelines/main_file_pipeline.py

@@ -426,7 +426,12 @@ async def task_pipeline_file_process(*, transcript_id: str):
 
         await pipeline.process(audio_file)
 
-    except Exception:
+    except Exception as e:
+        logger.error(
+            f"File pipeline failed for transcript {transcript_id}: {type(e).__name__}: {str(e)}",
+            exc_info=True,
+            transcript_id=transcript_id,
+        )
         await pipeline.set_status(transcript_id, "error")
         raise
 

server/reflector/processors/file_transcript_modal.py

@@ -56,6 +56,16 @@ class FileTranscriptModalProcessor(FileTranscriptProcessor):
                 },
                 follow_redirects=True,
             )
+
+            if response.status_code != 200:
+                error_body = response.text
+                self.logger.error(
+                    "Modal API error",
+                    audio_url=data.audio_url,
+                    status_code=response.status_code,
+                    error_body=error_body,
+                )
+
             response.raise_for_status()
             result = response.json()
 

server/reflector/processors/transcript_topic_detector.py

@@ -34,8 +34,16 @@ TOPIC_PROMPT = dedent(
 class TopicResponse(BaseModel):
     """Structured response for topic detection"""
 
-    title: str = Field(description="A descriptive title for the topic being discussed")
-    summary: str = Field(description="A concise 1-2 sentence summary of the discussion")
+    title: str = Field(
+        description="A descriptive title for the topic being discussed",
+        validation_alias="Title",
+    )
+    summary: str = Field(
+        description="A concise 1-2 sentence summary of the discussion",
+        validation_alias="Summary",
+    )
+
+    model_config = {"populate_by_name": True}
 
 
 class TranscriptTopicDetectorProcessor(Processor):