GravityPhone / HeadHat

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Sweep: finish and make functional logging capabilities #7

Closed GravityPhone closed 7 months ago

GravityPhone commented 7 months ago

Examine ProjectDocs.txt and any logs present

Don't make too many sweeping changes, try to implement our solution efficiently and reduce code bloat.

Refer to provided code examples from the docs and our description of the project as much as possible.

finish the logging, I ran it and got an error but I see nothing in app.log


Checklist - [X] Modify `main_controller.py` ✓ https://github.com/GravityPhone/HeadHat/commit/58e33e19f8f1db3115d84ade8128319d084a7a01 [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/main_controller.py) - [X] Running GitHub Actions for `main_controller.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/main_controller.py) - [X] Modify `assistant_manager.py` ✓ https://github.com/GravityPhone/HeadHat/commit/7813d47ec0d98498d088a0e7971a7def731b5cf8 [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/assistant_manager.py) - [X] Running GitHub Actions for `assistant_manager.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/assistant_manager.py) - [X] Modify `eleven_labs_manager.py` ✓ https://github.com/GravityPhone/HeadHat/commit/b884bc17e33b917f60239933374a7758cb8ea3e2 [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/eleven_labs_manager.py) - [X] Running GitHub Actions for `eleven_labs_manager.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/eleven_labs_manager.py) - [X] Modify `assemblyai_transcriber.py` ✓ https://github.com/GravityPhone/HeadHat/commit/d670cea73710de568596acf4f982a127bc51280f [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/assemblyai_transcriber.py) - [X] Running GitHub Actions for `assemblyai_transcriber.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/assemblyai_transcriber.py) - [X] Modify `audio_recorder.py` ✓ https://github.com/GravityPhone/HeadHat/commit/92e58238e5899225dc5b7261bfaa9875f9680b05 [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/audio_recorder.py) - [X] Running GitHub Actions for `audio_recorder.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/audio_recorder.py) - [X] Modify `vision_module.py` ✓ https://github.com/GravityPhone/HeadHat/commit/9dfe3a305ddaa98007b39f58ee62ee0dc088bf55 [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/vision_module.py) - [X] Running GitHub Actions for `vision_module.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/vision_module.py) - [X] Modify `word_detector.py` ✓ https://github.com/GravityPhone/HeadHat/commit/73470fbfc03080d7fbb55a3480589df9277b0f6d [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/word_detector.py) - [X] Running GitHub Actions for `word_detector.py` ✓ [Edit](https://github.com/GravityPhone/HeadHat/edit/sweep/finish_and_make_functional_logging_capab/word_detector.py)
sweep-ai[bot] commented 7 months ago

🚀 Here's the PR! #8

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Actions (click)


Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description. https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/ProjectDocs.txt#L1-L76 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/logging_module.py#L1-L13 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/main_controller.py#L1-L94 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/assistant_manager.py#L1-L78 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/eleven_labs_manager.py#L1-L41 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/assemblyai_transcriber.py#L1-L27 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/audio_recorder.py#L1-L79 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/vision_module.py#L1-L98 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/word_detector.py#L1-L47 https://github.com/GravityPhone/HeadHat/blob/84ff24a5e4a1b6c7de1d560a7449a35f4b24eb1b/keywords.kws#L1-L2

Step 2: ⌨️ Coding

--- 
+++ 
@@ -1,5 +1,6 @@
 import os
 import time
+from logging_module import log
 from word_detector import setup_keyword_detection, set_message_handler
 from audio_recorder import start_recording, stop_recording
 from assemblyai_transcriber import AssemblyAITranscriber
@@ -22,26 +23,26 @@
 def handle_detected_words(words):
     global is_recording, picture_mode, last_thread_id, last_interaction_time
     detected_phrase = ' '.join(words).lower().strip()
-    print(f"Detected phrase: {detected_phrase}")
+    log('info', f"Detected phrase: {detected_phrase}")

     if "computer" in detected_phrase and not is_recording:
         start_recording()
         is_recording = True
-        print(f"Recording started due to detection of the keyword 'computer'.")
+        log('info', f"Recording started due to detection of the keyword 'computer'.")
     elif "snapshot" in detected_phrase and is_recording:
         picture_mode = True
-        print(f"Picture mode activated due to detection of the keyword 'snapshot'.")
+        log('info', f"Picture mode activated due to detection of the keyword 'snapshot'.")
     elif "reply" in detected_phrase and is_recording:
         stop_recording()
         is_recording = False
-        print(f"Recording stopped and processing started due to detection of the keyword 'reply'.")
+        log('info', f"Recording stopped and processing started due to detection of the keyword 'reply'.")
         process_recording()

 def process_recording():
     global picture_mode, last_thread_id, last_interaction_time
-    print("Processing recorded audio...")
+    log('info', "Processing recorded audio...")
     transcription = assemblyai_transcriber.transcribe_audio_file("recorded_audio.wav")
-    print(f"Transcription result: '{transcription}'")
+    log('info', f"Transcription result: '{transcription}'")

     if picture_mode:
         vision_module.capture_image_async()
@@ -49,7 +50,7 @@
         # If there's a recent thread, send the description to it
         if last_thread_id:
             assistant_manager.add_message_to_thread(last_thread_id, description)
-            print(f"Description sent to the most recent thread: {last_thread_id}")
+            log('info', f"Description sent to the most recent thread: {last_thread_id}")
         eleven_labs_manager.play_text(description)
         picture_mode = False
     else:
@@ -58,18 +59,18 @@

 def interact_with_assistant(transcription):
     global last_thread_id, last_interaction_time
-    print(f"Initiating interaction with assistant with transcription: {transcription}")
+    log('info', f"Initiating interaction with assistant with transcription: {transcription}")
     if not last_thread_id or time.time() - last_interaction_time > 90:
         last_thread_id = assistant_manager.create_thread()
-    print(f"Using thread ID: {last_thread_id} for the current interaction")
+    log('info', f"Using thread ID: {last_thread_id} for the current interaction")

     last_interaction_time = time.time()

     message_id = assistant_manager.add_message_to_thread(last_thread_id, transcription)
-    print(f"Message added to the thread with ID: {message_id}")
+    log('info', f"Message added to the thread with ID: {message_id}")
     # Initiate a run on the thread for the assistant to process the message
     run_id = assistant_manager.run_assistant(last_thread_id, assistant_id="asst_3D8tACoidstqhbw5JE2Et2st", instructions=transcription)
-    print(f"Assistant run initiated with run ID: {run_id}")
+    log('info', f"Assistant run initiated with run ID: {run_id}")

     # Check if the run is completed and retrieve the processed response
     if assistant_manager.check_run_status(last_thread_id, run_id):
@@ -80,12 +81,12 @@
         eleven_labs_manager.play_text(processed_response)
         log('info', f'Played back the assistants response: {processed_response}')
     else:
-        print("Assistant processing failed or timed out.")
+        log('info', "Assistant processing failed or timed out.")

 def initialize():
-    print("System initializing...")
+    log('info', "System initializing...")
     set_message_handler(handle_detected_words)
     setup_keyword_detection()

Ran GitHub Actions for 58e33e19f8f1db3115d84ade8128319d084a7a01:

--- 
+++ 
@@ -1,4 +1,5 @@
 import openai
+from logging_module import log
 from . import Assistant
 from typing_extensions import override
 import time
@@ -18,12 +19,12 @@
   def on_tool_call_delta(self, delta, snapshot):
     if delta.type == 'code_interpreter':
       if delta.code_interpreter.input:
-        print(delta.code_interpreter.input, end="", flush=True)
+        log('info', delta.code_interpreter.input, end="", flush=True)
       if delta.code_interpreter.outputs:
-        print(f"\n\noutput >", flush=True)
+        log('info', f"\n\noutput >", flush=True)
         for output in delta.code_interpreter.outputs:
           if output.type == "logs":
-            print(f"\n{output.logs}", flush=True)
+            log('info', f"\n{output.logs}", flush=True)

 class AssistantManager:
     def __init__(self, openai_api_key):
@@ -33,11 +34,11 @@
     def create_thread(self):
         try:
             thread = self.client.beta.threads.create()
-            print(f'Successfully created thread with ID: {thread.id}')
+            log('info', f'Successfully created thread with ID: {thread.id}')
             log('info', f'Successfully created thread with ID: {thread.id}')
             return thread.id
         except Exception as e:
-            print(f"Failed to create a thread: {e}")
+            log('error', f"Failed to create a thread: {e}")
             return None

     def add_message_to_thread(self, thread_id, message_content, role="user"):
@@ -47,11 +48,11 @@
                 role=role,
                 content=message_content
             )
-            print(f'Successfully added the message with ID: {message.id} to thread: {thread_id}')
+            log('info', f'Successfully added the message with ID: {message.id} to thread: {thread_id}')
             log('info', f'Successfully added the message with ID: {message.id} to thread: {thread_id}')
             return message.id
         except Exception as e:
-            print(f"Failed to add message to thread {thread_id}: {e}")
+            log('error', f"Failed to add message to thread {thread_id}: {e}")
             return None

     def run_assistant(self, thread_id, assistant_id, instructions):
@@ -71,9 +72,9 @@
             # Assuming response.data contains the messages and taking the first one
             recent_message = response.data[0] if response.data else None
             if recent_message:
-                print(f'Retrieved the most recent message: {recent_message.id} from thread: {thread_id}')
+                log('info', f'Retrieved the most recent message: {recent_message.id} from thread: {thread_id}')
             log('info', f'Retrieved the most recent message: {recent_message.id} from thread: {thread_id}')
             return recent_message
         except Exception as e:
-            print(f"Failed to retrieve the most recent message from thread {thread_id}: {e}")
+            log('error', f"Failed to retrieve the most recent message from thread {thread_id}: {e}")
             return None

Ran GitHub Actions for 7813d47ec0d98498d088a0e7971a7def731b5cf8:

--- 
+++ 
@@ -24,16 +24,16 @@
                 api_key=self.api_key  # Pass the API key directly
             )
             if audio:
-                print('Audio generated successfully, beginning playback...')
+                log('info', 'Audio generated successfully, beginning playback...')
                 log('info', 'Audio generated successfully, beginning playback...')
                 play(audio)
-                print('Playback completed.')
+                log('info', 'Playback completed.')
                 log('info', 'Playback completed.')
             else:
-                print("Failed to generate audio.")
-                print('Terminating playback.')
+                log('error', "Failed to generate audio.")
+                log('error', 'Terminating playback.')
         except Exception as e:
-            print(f"Error generating or playing audio: {e}")
+            log('error', f"Error generating or playing audio: {e}")

 # Example usage:
 if __name__ == "__main__":

Ran GitHub Actions for b884bc17e33b917f60239933374a7758cb8ea3e2:

--- 
+++ 
@@ -12,7 +12,7 @@
         transcriber = aai.Transcriber()
         # Start the transcription process
         transcript = transcriber.transcribe(audio_file_path)
-        print(f'Transcription result: {transcript.text}')
+        log('info', f'Transcription result: {transcript.text}')

         # Check the transcription status and return the appropriate response
         if transcript.status == aai.TranscriptStatus.error:
@@ -25,4 +25,4 @@
 # The following testing code should be commented out or removed in the integration
 # if __name__ == "__main__":
 #     transcriber = AssemblyAITranscriber(api_key="9c45c5934f8f4dcd9c13c54875145c77")
-#     print(transcriber.transcribe_audio_file("./path_to_your_audio_file.wav"))
+#     log('info', transcriber.transcribe_audio_file("./path_to_your_audio_file.wav"))

Ran GitHub Actions for d670cea73710de568596acf4f982a127bc51280f:

--- 
+++ 
@@ -57,7 +57,6 @@
             self.frames = []
             self.thread = threading.Thread(target=self._record_audio)
             self.thread.start()
-            print("Recording started. The audio recording process is now in progress...")
             log('info', "Recording started. The audio recording process is now in progress...")

     def stop_recording(self):
@@ -65,7 +64,6 @@
         if self.is_recording:
             self.is_recording = False
             self.thread.join()  # Wait for the recording thread to finish
-            print("Recording stopped. The audio recording process has completed.")
             log('info', "Recording stopped. The audio recording process has completed.")

 # Global instance to be used outside this script

Ran GitHub Actions for 92e58238e5899225dc5b7261bfaa9875f9680b05:

--- 
+++ 
@@ -21,20 +21,20 @@
         """Captures an image using fswebcam and saves it as a PNG file."""
         image_file_name = f"{uuid.uuid4()}.png"
         self.image_path = f"/tmp/{image_file_name}"
-        print("Taking picture now...")
+        log('info', "Taking picture now...")
         capture_command = f"fswebcam --no-banner --resolution 1280x720 --save {self.image_path} -d /dev/video0 -r 1280x720 --png 1"
-        print(f'Image capturing command has been executed')
+        log('info', f'Image capturing command has been executed')
         log('info', f'Image capturing command has been executed')
         log('info', f'Image capturing command has been executed')
         log('info', f'Image capturing command has been executed')

         try:
             subprocess.check_call(capture_command.split())
-            print(f"Image captured successfully: {self.image_path}")
+            log('info', f'Image captured successfully: {self.image_path}')
             log('info', f'Image captured successfully: {self.image_path}')
             self.capture_complete.set()  # Signal that the capture has completed
         except subprocess.CalledProcessError as e:
-            print(f"Failed to capture image: {e}")
+            log('error', f'Failed to capture image: {e}')
             self.image_path = None  # Ensure path is reset on failure
             self.capture_complete.set()  # Signal to unblock any waiting process, even though capture failed

@@ -43,11 +43,11 @@
         if self.image_path and os.path.exists(self.image_path):
             with open(self.image_path, "rb") as image_file:
                 encoded_image = base64.b64encode(image_file.read()).decode('utf-8')
-                print(f'Image encoded to base64: {encoded_image}')
+                log('info', f'Image encoded to base64: {encoded_image}')
                 log('info', f'Image encoded to base64: {encoded_image}')
                 return encoded_image
         else:
-            print("No image file found or image capture failed.")
+            log('error', "No image file found or image capture failed.")
         return None

     def get_image_description(self, transcription, base64_image):
@@ -71,7 +71,7 @@
                 ],
                 "max_tokens": 300
             }
-            print(f'Sending POST request to OpenAI API for image description')
+            log('info', f'Sending POST request to OpenAI API for image description')
             log('info', f'Sending POST request to OpenAI API for image description')
             response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
             if response.status_code == 200:
@@ -81,7 +81,7 @@
                 except KeyError:
                     return "Description not available or wrong response format."
             else:
-                print(f"Error in OpenAI API call: {response.text}")
+                log('error', f'Error in OpenAI API call: {response.text}')
         return "Failed to encode image or image capture failed."

     def describe_captured_image(self, transcription="What's in this image?"):
@@ -90,7 +90,7 @@
         base64_image = self.encode_image_to_base64()
         if base64_image:
             description = self.get_image_description(transcription, base64_image)
-            print(f'Sending image description request, obtained description: {description}')
+            log('info', f'Sending image description request, obtained description: {description}')
             # Cleanup
             if self.image_path and os.path.exists(self.image_path):
                 os.remove(self.image_path)

Ran GitHub Actions for 9dfe3a305ddaa98007b39f58ee62ee0dc088bf55:

--- 
+++ 
@@ -14,9 +14,9 @@
     script_dir = os.path.dirname(os.path.abspath(__file__))  # Get the directory of the script
     kws_path = os.path.join(script_dir, 'keywords.kws')  # Path to your keywords.kws file

-    print(f"Model Path: {model_path}")
+    log('info', f"Model Path: {model_path}")
     log('info', f'Model Path: {model_path}')
-    print(f"Keywords File Path: {kws_path}")
+    log('info', f'Keywords File Path: {kws_path}')
     log('info', f'Keywords File Path: {kws_path}')

     try:
@@ -30,16 +30,16 @@
             lm=None,
             kws=kws_path
         )
-        print("PocketSphinx initialized successfully.")
-        print("Listening for keywords...")
+        log('info', 'PocketSphinx initialized successfully.')
+        log('info', 'Listening for keywords...')
     except Exception as e:
-        print(f"Failed to initialize PocketSphinx: {e}")
+        log('error', f'Failed to initialize PocketSphinx: {e}')
         return

     for phrase in speech:
         detected_words = [seg[0] for seg in phrase.segments(detailed=True)]
         log('info', f'Detected words: {detected_words}')  # Extract words
-        print(f"Detected words: {detected_words}")  # Log for debugging
+        log('info', f'Detected words: {detected_words}')  # Log for debugging

         # If a message handler is set, call it with the detected words
         if message_handler:

Ran GitHub Actions for 73470fbfc03080d7fbb55a3480589df9277b0f6d:


Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/finish_and_make_functional_logging_capab.


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