Improve speed

backend/app/algo_host/job_workspace.py

@@ -10,7 +10,6 @@ from pathlib import Path
 import yaml
 
 from app.algo_host.bundle import load_reference_default_config, resolve_reference_bundle_dir
-from app.algo_host.transcode import ensure_batch_pipeline_input_video
 from app.consumable_catalog import build_name_mapping
 
 
@@ -75,22 +74,17 @@ def prepare_batch_job(
     *,
     bundle_dir: Path | None,
     cache_dir: Path,
-    uploaded_video_path: Path,
+    pipeline_video_path: Path,
     candidate_consumables: list[str],
 ) -> BatchJobFiles:
     root = resolve_reference_bundle_dir(bundle_dir)
-    cache_input_dir = cache_dir / "input"
     cache_output_dir = cache_dir / "output"
     cache_work_dir = cache_dir / "work"
     cache_config_dir = cache_dir / "config"
-    for d in (cache_input_dir, cache_output_dir, cache_work_dir, cache_config_dir):
+    for d in (cache_output_dir, cache_work_dir, cache_config_dir):
         d.mkdir(parents=True, exist_ok=True)
 
-    cache_input = cache_input_dir / "input.mp4"
-    ensure_batch_pipeline_input_video(
-        source_path=uploaded_video_path,
-        dest_path=cache_input,
-    )
+    pipeline_video = pipeline_video_path.resolve()
     output_path = cache_output_dir / "result.tsv"
     excel_path = cache_config_dir / "商品信息表.xlsx"
     whitelist_path = cache_config_dir / "whitelist.json"
@@ -100,7 +94,7 @@ def prepare_batch_job(
     write_reference_whitelist_json(whitelist_path, candidate_consumables=candidate_consumables)
     config = build_job_config(
         bundle_dir=root,
-        video_path=cache_input.resolve(),
+        video_path=pipeline_video,
         output_path=output_path.resolve(),
         work_dir=cache_work_dir.resolve(),
         excel_path=excel_path.resolve(),
@@ -116,5 +110,5 @@ def prepare_batch_job(
         whitelist_path=whitelist_path,
         output_path=output_path,
         work_dir=cache_work_dir,
-        input_video_path=cache_input,
+        input_video_path=pipeline_video,
     )