feat: implement daily timestamped logs for deeper context retrieval

jarvis.py

@@ -43,16 +43,26 @@ MAX_BUFFER_SECONDS = 15
 CONTEXT_CHARS = 500  # How much previous text to keep for context
 
 WORKSPACE_DIR = "workspace"
+LOGS_DIR = "logs"
 SOUL_PATH = "soul.md"
-SYSTEM_SOUND = "/System/Library/Sounds/Tink.aiff"
-FOLLOW_UP_SOUND = "/System/Library/Sounds/Submarine.aiff"
 
-# Ensure workspace exists
-if not os.path.exists(WORKSPACE_DIR):
-    os.makedirs(WORKSPACE_DIR)
+# Ensure workspace and logs exist
+for d in [WORKSPACE_DIR, LOGS_DIR]:
+    if not os.path.exists(d):
+        os.makedirs(d)
 
-# Initialize pygame mixer for audio playback
-pygame.mixer.init()
+def log_transcription(text):
+    """Log all transcriptions with timestamps to a daily file."""
+    if not text:
+        return
+    date_str = time.strftime("%Y-%m-%d")
+    timestamp = time.strftime("%H:%M:%S")
+    log_file = os.path.join(LOGS_DIR, f"{date_str}.log")
+    try:
+        with open(log_file, "a") as f:
+            f.write(f"[{timestamp}] {text}\n")
+    except Exception as e:
+        print(f"Error logging transcription: {e}")
 
 # Global state
 audio_queue = queue.Queue()
@@ -196,6 +206,7 @@ def main():
                             
                             if text:
                                 print(f"[Caption]: {text}")
+                                log_transcription(text)
                                 
                                 # Detect Trigger Word
                                 trigger_match = re.search(rf"\b{TRIGGER_WORD}\b", text, re.IGNORECASE)