---
phase: 03-processing-skills
verified: 2026-03-13T19:30:00Z
status: passed
score: 6/6 must-haves verified
---

# Phase 3: Processing Skills Verification Report

**Phase Goal:** 创建 ASRProcessor 处理器，统一封装 B站官方字幕下载和 Whisper.cpp 语音识别，遵循 Phase 1/2 建立的管道模式。
**Verified:** 2026-03-13T19:30:00Z
**Status:** passed
**Re-verification:** No - initial verification

## Goal Achievement

### Observable Truths

| # | Truth | Status | Evidence |
|---|-------|--------|----------|
| 1 | B站视频可以自动下载官方字幕 | VERIFIED | `_try_official_subtitle()` method (lines 163-289) implements B站 API calls for pagelist, player/v2, and subtitle download with SRT/TXT/JSON output generation |
| 2 | 无官方字幕时自动调用 Whisper.cpp 进行语音识别 | VERIFIED | `process()` method (lines 114-161) first tries subtitle, then calls `_run_whisper()` if result is None; `_run_whisper_basic()` (lines 336-394) implements Whisper.cpp integration |
| 3 | HF_TOKEN 配置时自动启用说话者分离 | VERIFIED | `_run_whisper()` (lines 319-334) checks `self.settings.hf_token.get_secret_value()` and routes to `_run_whisper_with_diarization()` if token present |
| 4 | 输出包含 txt/srt/json 三种格式 | VERIFIED | Both `_try_official_subtitle()` (lines 180-182, 257-271) and `_parse_whisper_output()` (lines 406-447) generate all three formats in `output_files` dict |
| 5 | ASR 完成后状态记录到 workflow_state.json | VERIFIED | `process()` method (lines 143-150, 156-160) calls `state.mark_step_completed()` on success and `state.mark_step_failed()` on failure, with proper state_manager.save() |
| 6 | 临时音频文件处理后自动清理 | VERIFIED | `_run_whisper_basic()` finally block (lines 388-394) removes temp audio file with `os.remove(audio_path)` |

**Score:** 6/6 truths verified

### Required Artifacts

| Artifact | Expected | Status | Details |
|----------|----------|--------|---------|
| `kb_pipeline/processors/__init__.py` | Exports ASRProcessor | VERIFIED | 9 lines, exports `ASRProcessor` in `__all__` |
| `kb_pipeline/processors/asr.py` | ASRProcessor class, min 150 lines | VERIFIED | 575 lines, contains `class ASRProcessor` with full implementation |
| `kb_pipeline/schemas.py` | ASRInput, ASROutput classes | VERIFIED | Lines 194-235 define both schemas with correct inheritance and fields |
| `tests/test_processors/__init__.py` | Test module init | VERIFIED | Exists, contains docstring |
| `tests/test_processors/conftest.py` | Test fixtures | VERIFIED | 97 lines with all required fixtures |
| `tests/test_processors/test_asr.py` | All test cases | VERIFIED | 619 lines, 22 tests (25 collected including parametrized) |

### Key Link Verification

| From | To | Via | Status | Details |
|------|----|----|--------|---------|
| `kb_pipeline/processors/asr.py` | `kb_pipeline/schemas.py` | `from ..schemas import ASRInput, ASROutput` | WIRED | Line 25 imports both schemas |
| `kb_pipeline/processors/asr.py` | `kb_pipeline/state.py` | `WorkflowStateManager` | WIRED | Line 26 imports, lines 144-150 and 156-160 use state_manager |
| `kb_pipeline/processors/asr.py` | `kb_pipeline/config.py` | `get_settings` | WIRED | Line 24 imports, line 111 uses for hf_token access |

### Requirements Coverage

No requirement IDs were declared in PLAN frontmatter (Phase 3 has no direct REQUIREMENTS.md entries - platform support was covered in Phase 2).

**Orphaned Requirements:** None

### Anti-Patterns Found

| File | Line | Pattern | Severity | Impact |
|------|------|---------|----------|--------|
| None | - | - | - | No blocking anti-patterns detected |

Notes:
- `return None` statements in `_try_official_subtitle()` are intentional - they signal "no subtitle available" to trigger Whisper fallback
- `pass` in `WhisperNotFoundError` class is standard exception class definition

### Test Results

```
tests/test_processors/test_asr.py: 22 passed in 0.24s

Test Categories:
- Schema Tests: 8 passed (ASRInput, ASROutput validation)
- Processor Init Tests: 2 passed
- Official Subtitle Tests: 3 passed (found, not found, priority)
- Whisper Basic Tests: 3 passed (basic, cleanup, path error)
- Diarization Tests: 3 passed (no token, with token, result format)
- State Recording Tests: 3 passed (success, failure, no manager)
```

### Human Verification Required

The following items require manual testing in a real environment:

1. **End-to-end B站视频处理**
   - Test: Run ASRProcessor on an actual B站 video with official subtitles
   - Expected: Subtitles downloaded and converted to txt/srt/json
   - Why human: Requires real B站 API access and network

2. **Whisper.cpp 端到端测试**
   - Test: Process a video without official subtitles using actual whisper.cpp
   - Expected: Whisper generates transcription with all output formats
   - Why human: Requires whisper.cpp installation and model download

3. **说话者分离功能测试**
   - Test: Process video with HF_TOKEN configured
   - Expected: pyannote.audio performs diarization, segments include speaker labels
   - Why human: Requires HF_TOKEN and pyannote.audio installation

### Summary

**Phase 3 Processing Skills verification completed successfully.**

All 6 must-haves are verified:
1. B站官方字幕自动下载 - VERIFIED (API integration complete)
2. Whisper.cpp 回退机制 - VERIFIED (conditional logic correct)
3. HF_TOKEN 说话者分离 - VERIFIED (auto-detection implemented)
4. 三格式输出 - VERIFIED (txt/srt/json generation in both paths)
5. 状态记录 - VERIFIED (workflow_state.json integration)
6. 临时文件清理 - VERIFIED (finally block cleanup)

The implementation follows the established pipeline pattern from Phase 1/2:
- Inherits from StepInput/StepOutput schemas
- Uses WorkflowStateManager for state recording
- Proper error handling with mark_step_failed
- Clean code structure with 575 lines, no blocking anti-patterns

All 22 automated tests pass. Manual testing recommended for end-to-end validation with real API calls and whisper.cpp execution.

---

_Verified: 2026-03-13T19:30:00Z_
_Verifier: Claude (gsd-verifier)_