processors: customize logger and auto describe

server/reflector/processors.py

@@ -9,6 +9,7 @@ from reflector.logger import logger
 import httpx
 import asyncio
 import json
+from uuid import uuid4
 from concurrent.futures import ThreadPoolExecutor
 
 
@@ -73,11 +74,17 @@ class Processor:
     INPUT_TYPE: type = None
     OUTPUT_TYPE: type = None
 
-    def __init__(self, callback=None):
+    def __init__(self, callback=None, custom_logger=None):
         self._processors = []
         self._callbacks = []
         if callback:
             self.on(callback)
+        self.uid = uuid4().hex
+        self.logger = (custom_logger or logger).bind(
+            processor=self.__class__.__name__)
+
+    def set_pipeline(self, pipeline: "Pipeline"):
+        self.logger = self.logger.bind(pipeline=pipeline.uid)
 
     def connect(self, processor: "Processor"):
         """
@@ -129,6 +136,9 @@ class Processor:
         # logger.debug(f"{self.__class__.__name__} flush")
         return await self._flush()
 
+    def describe(self, level=0):
+        logger.info("  " * level + self.__class__.__name__)
+
     async def _push(self, data):
         raise NotImplementedError
 
@@ -189,6 +199,10 @@ class ThreadedProcessor(Processor):
     def on(self, callback):
         self.processor.on(callback)
 
+    def describe(self, level=0):
+        super().describe(level)
+        self.processor.describe(level + 1)
+
 
 class AudioChunkerProcessor(Processor):
     """
@@ -312,6 +326,35 @@ class AudioWhisperTranscriptProcessor(AudioTranscriptProcessor):
         return transcript
 
 
+class AudioAutoTranscriptProcessor(AudioTranscriptProcessor):
+    BACKENDS = {
+        "whisper": AudioWhisperTranscriptProcessor,
+    }
+    BACKEND_DEFAULT = "whisper"
+
+    def __init__(self, backend=None, **kwargs):
+        super().__init__(**kwargs)
+        self.processor = self.BACKENDS[backend or self.BACKEND_DEFAULT]()
+
+    def connect(self, processor: Processor):
+        self.processor.connect(processor)
+
+    def disconnect(self, processor: Processor):
+        self.processor.disconnect(processor)
+
+    def on(self, callback):
+        self.processor.on(callback)
+
+    def off(self, callback):
+        self.processor.off(callback)
+
+    async def _push(self, data: AudioFile):
+        return await self.processor._push(data)
+
+    async def _flush(self):
+        return await self.processor._flush()
+
+
 class TranscriptLineProcessor(Processor):
     """
     Based on stream of transcript, assemble lines, remove duplicated words
@@ -379,10 +422,10 @@ class TitleSummaryProcessor(Processor):
             await self.emit(summary)
 
         except httpx.ConnectError as e:
-            logger.error(f"Failed to call llm: {e}")
+            self.logger.error(f"Failed to call llm: {e}")
 
         except Exception:
-            logger.exception("Failed to call llm")
+            self.logger.exception("Failed to call llm")
 
 
 class Pipeline(Processor):
@@ -393,10 +436,13 @@ class Pipeline(Processor):
     INPUT_TYPE = None
     OUTPUT_TYPE = None
 
-    def __init__(self, *processors):
+    def __init__(self, *processors: Processor):
         super().__init__()
         self.processors = processors
 
+        for processor in processors:
+            processor.set_pipeline(self)
+
         for i in range(len(processors) - 1):
             processors[i].connect(processors[i + 1])
 
@@ -410,6 +456,13 @@ class Pipeline(Processor):
         for processor in self.processors:
             await processor.flush()
 
+    def describe(self, level=0):
+        logger.info("  " * level + "Pipeline:")
+        for processor in self.processors:
+            processor.describe(level + 1)
+        logger.info("")
+
+
 
 class FinalSummaryProcessor(Processor):
     """
@@ -422,13 +475,18 @@ class FinalSummaryProcessor(Processor):
     def __init__(self, filename: Path, **kwargs):
         super().__init__(**kwargs)
         self.filename = filename
+        self.chunkcount = 0
 
     async def _push(self, data: TitleSummary):
         with open(self.filename, "a", encoding="utf8") as fd:
             fd.write(json.dumps(data))
+        self.chunkcount += 1
 
     async def _flush(self):
-        logger.info(f"Writing to {self.filename}")
+        if self.chunkcount == 0:
+            self.logger.warning("No summary to write")
+            return
+        self.logger.info(f"Writing to {self.filename}")
         await self.emit(self.filename)
 
 
@@ -455,13 +513,14 @@ if __name__ == "__main__":
         pipeline = Pipeline(
             AudioChunkerProcessor(),
             AudioMergeProcessor(),
-            AudioWhisperTranscriptProcessor().as_threaded(),
+            AudioAutoTranscriptProcessor.as_threaded(),
             TranscriptLineProcessor(callback=on_transcript),
             TitleSummaryProcessor.as_threaded(callback=on_summary),
             FinalSummaryProcessor.as_threaded(
                 filename=result_fn, callback=on_final_summary
             ),
         )
+        pipeline.describe()
 
         # start processing audio
         logger.info(f"Opening {args.source}")