feat: Initial v0.9 release with API Key authentication

## v0.9.20260325_144654

### Features
- API Key Authentication System
- Job Worker System
- V2 Backup Versioning

### Bug Fixes
- get_processor_results_by_job column mapping

Co-authored-by: OpenCode

scripts/asr_processor.py

@@ -1,25 +1,31 @@
 #!/opt/homebrew/bin/python3.11
 import sys
 import json
-import tempfile
 import os
+import argparse
 from faster_whisper import WhisperModel
 
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from redis_publisher import RedisPublisher
 
-def run_asr(video_path, output_path):
-    print(f"ASR_START", file=sys.stderr)
-    print(f"Loading Whisper model...", file=sys.stderr)
+
+def run_asr(video_path, output_path, uuid: str = ""):
+    publisher = RedisPublisher(uuid) if uuid else None
+    if publisher:
+        publisher.info("asr", "ASR_START")
+
+    if publisher:
+        publisher.info("asr", "Loading Whisper model...")
 
     model = WhisperModel("tiny", device="cpu", compute_type="int8")
 
-    print(f"Transcribing: {video_path}", file=sys.stderr)
+    if publisher:
+        publisher.info("asr", f"Transcribing: {video_path}")
+
     segments, info = model.transcribe(video_path, beam_size=5)
 
-    print(f"ASR_LANGUAGE:{info.language}", file=sys.stderr)
-    print(
-        f"Detected language: {info.language} (probability: {info.language_probability:.2f})",
-        file=sys.stderr,
-    )
+    if publisher:
+        publisher.info("asr", f"ASR_LANGUAGE:{info.language}")
 
     results = []
     total_segments = 0
@@ -30,7 +36,10 @@ def run_asr(video_path, output_path):
         )
         total_segments += 1
         if total_segments % 100 == 0:
-            print(f"ASR_PROGRESS:{total_segments}", file=sys.stderr)
+            if publisher:
+                publisher.progress(
+                    "asr", total_segments, 0, f"Segment {total_segments}"
+                )
 
     output = {
         "language": info.language,
@@ -41,13 +50,15 @@ def run_asr(video_path, output_path):
     with open(output_path, "w") as f:
         json.dump(output, f, indent=2)
 
-    print(f"ASR_COMPLETE:{total_segments}", file=sys.stderr)
-    print(f"ASR complete. {len(results)} segments.", file=sys.stderr)
+    if publisher:
+        publisher.complete("asr", f"{len(results)} segments")
 
 
 if __name__ == "__main__":
-    if len(sys.argv) != 3:
-        print("Usage: asr_processor.py <video_path> <output_json_path>")
-        sys.exit(1)
+    parser = argparse.ArgumentParser(description="ASR Transcription")
+    parser.add_argument("video_path", help="Path to video file")
+    parser.add_argument("output_path", help="Output JSON path")
+    parser.add_argument("--uuid", "-u", help="UUID for Redis progress", default="")
+    args = parser.parse_args()
 
-    run_asr(sys.argv[1], sys.argv[2])
+    run_asr(args.video_path, args.output_path, args.uuid)