cleanup: remove dead code and duplicate docs

- Remove session-ses_2f27.md (161KB raw session log)
- Remove 49 ROOT_* duplicate files across REFERENCE/
- Remove 14 duplicate files between REFERENCE/ root and history/
- Remove asr_legacy.rs (dead code, replaced by asr.rs)
- Remove src/core/worker/ (duplicate JobWorker)
- Remove src/core/layers/ (empty directory)
- Remove 4 .bak files in src/
- Remove 7 dead private methods in worker/processor.rs
- Remove backup directory from git tracking
This commit is contained in:
Warren
2026-05-04 01:31:21 +08:00
parent ee81e343ce
commit e75c4d6f07
3270 changed files with 35190 additions and 53367 deletions

View File

@@ -256,7 +256,7 @@ def test_similarity_search(
result = cur.fetchone()
if not result or not result[0]:
print(f"⚠️ Identity embedding not found")
print("⚠️ Identity embedding not found")
return []
stored_embedding_raw = result[0]
@@ -323,7 +323,7 @@ def main():
logo_path = TEMP_DIR / f"{name.replace(' ', '_')}.png"
if not logo_path.exists():
print(f"\n🔧 Downloading logo...")
print("\n🔧 Downloading logo...")
if not download_image(logo_url, logo_path):
sys.exit(1)
@@ -334,18 +334,18 @@ def main():
if args.performance:
perf_result = test_mps_performance(model, processor, device, logo_path, iterations=10)
if perf_result:
print(f"\n📊 Performance Summary:")
print("\n📊 Performance Summary:")
print(f" MPS: {perf_result['mps_time']:.4f}s/img")
print(f" CPU: {perf_result['cpu_time']:.4f}s/img")
print(f" Speedup: {perf_result['speedup']:.2f}x")
print(f"\n🔧 Extracting CLIP embedding...")
print("\n🔧 Extracting CLIP embedding...")
embedding = extract_clip_embedding(model, processor, device, logo_path)
if not embedding:
sys.exit(1)
print(f"\n🔧 Registering to database...")
print("\n🔧 Registering to database...")
uuid = register_logo_identity_to_db(
name=name,
logo_url=logo_url,
@@ -354,13 +354,13 @@ def main():
)
if uuid:
print(f"\n🎉 Integration completed!")
print("\n🎉 Integration completed!")
print(f" Identity: {name}")
print(f" UUID: {uuid}")
print(f" Embedding: {len(embedding)}-dim")
print(f" URL: {logo_url}")
print(f"\n🔧 Testing similarity search...")
print("\n🔧 Testing similarity search...")
test_embeddings = [
embedding,
[0.1] * 768,
@@ -369,9 +369,9 @@ def main():
matches = test_similarity_search(uuid, test_embeddings, threshold=0.85, schema=args.schema)
if matches:
print(f"\n✅ Similarity search test passed")
print("\n✅ Similarity search test passed")
else:
print(f"\n❌ Integration failed")
print("\n❌ Integration failed")
sys.exit(1)