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21 Commits

Author SHA1 Message Date
meizhong986 d255cb1314 Dual-Track Update System Implementation: user can choose update to a release or to dev (commits) track. 2026-01-03 13:34:54 +00:00
meizhong986 4371980b85 cli argumenta device and compute-type added 2026-01-03 12:54:37 +00:00
meizhong986 e5a6544a2d Changed compute-type to auto for ctranslate2.
1. What compute_type=auto Does (CTranslate2 Documentation)

  auto = use the fastest computation type that is supported on this system and device

  CTranslate2 internally handles:
  - GPU capability detection (Compute Capability 6.1-8.x+)
  - CPU instruction set detection (AVX, AVX2, AVX512)
  - Automatic fallback for unsupported types
  - NEW: Blackwell/sm120 INT8 workaround (PR #1937)

  2. RTX 50XX (Blackwell) Issue - https://github.com/OpenNMT/CTranslate2/issues/1865

  | Problem    | int8 variants fail with CUBLAS_STATUS_NOT_SUPPORTED on sm120 GPUs     |
  |------------|-----------------------------------------------------------------------|
  | Root Cause | cuBLAS INT8 kernels fail when matrix dimensions aren't divisible by 4 |
  | Fix        | https://github.com/OpenNMT/CTranslate2/pull/1937 - Merged Dec 2025    |
  | Solution   | CTranslate2 now disables INT8 for sm120, auto-selects float16 instead |

  3. Current WhisperJAV Architecture (Problem)

  ┌─────────────────────────────────────────────────────────────────┐
  │ resolver_v3.py                                                  │
  │ _get_compute_type_for_device()                                  │
  │   CUDA → int8_float16  ← HARDCODED                            │
  │   CPU  → int8          ← HARDCODED                            │
  └──────────────────────────────┬──────────────────────────────────┘
                                 ▼
  ┌─────────────────────────────────────────────────────────────────┐
  │ faster_whisper_pro_asr.py (lines 62-73)                         │
  │ DUPLICATE LOGIC:                                                │
  │   if compute_type is None or auto:                            │
  │     CUDA → int8_float16  ← REDUNDANT                          │
  │     CPU  → int8          ← REDUNDANT                          │
  └──────────────────────────────┬──────────────────────────────────┘
                                 ▼
  ┌─────────────────────────────────────────────────────────────────┐
  │ CTranslate2 WhisperModel                                        │
  │   - Receives explicit compute_type                              │
  │   - Cannot apply internal optimizations                         │
  │   - RTX 50XX users get CUBLAS_STATUS_NOT_SUPPORTED              │
  └─────────────────────────────────────────────────────────────────┘

  Problem: WhisperJAV duplicates CTranslate2's logic and doesn't benefit from upstream fixes.

  4. Proposed Architecture (Solution)

  ┌─────────────────────────────────────────────────────────────────┐
  │ resolver_v3.py                                                  │
  │ _get_compute_type_for_device()                                  │
  │   CTranslate2 providers → auto  ← DELEGATE TO CTRANSLATE2     │
  │   PyTorch providers     → float16/float32 (unchanged)           │
  └──────────────────────────────┬──────────────────────────────────┘
                                 ▼
  ┌─────────────────────────────────────────────────────────────────┐
  │ faster_whisper_pro_asr.py                                       │
  │   Pass compute_type=auto directly to WhisperModel             │
  │   KEEP: VRAM exhaustion fallback (try int8 if OOM)              │
  └──────────────────────────────┬──────────────────────────────────┘
                                 ▼
  ┌─────────────────────────────────────────────────────────────────┐
  │ CTranslate2 WhisperModel                                        │
  │   - Detects GPU capability (sm120 → no INT8)                    │
  │   - Selects optimal type automatically                          │
  │   - RTX 50XX → float16 (works!)                                 │
  │   - RTX 40XX → int8_float16 (fastest)                           │
  │   - CPU      → int8 (fastest available)                         │
  └─────────────────────────────────────────────────────────────────┘
2026-01-03 12:07:04 +00:00
meizhong986 09c5cf0960 test(gui): Add comprehensive test suites for Check for Updates feature
Add 95 unit tests covering the update check modal implementation:

tests/test_update_check_api.py (31 tests):
- check_for_updates() API response structure, caching, error handling
- Notification level classification (patch/minor/major/critical)
- dismiss_update_notification() file operations and errors
- get_dismissed_update() retrieval logic
- open_url() browser integration for major updates
- start_update() process spawning, --wheel-only flag, PID passing
- Windows-specific DETACHED_PROCESS flag validation
- Integration tests: full flow, major→download, patch→inline update
- Edge cases: network timeout, invalid version, prerelease, empty notes

tests/test_update_check_frontend.py (64 tests):
- HTML structure: 16 tests for required elements and IDs
- CSS classes: 11 tests for style definitions
- CSS color scheme: 4 tests for badge colors (patch=green, minor=blue,
  major=orange, critical=red)
- JavaScript structure: 11 tests for UpdateCheckManager methods
- JavaScript API calls: 3 tests for correct pywebview API usage
- JavaScript event handlers: 7 tests for click/keyboard bindings
- JavaScript logic: 5 tests for business logic (major→Download button)
- Theme compatibility: 2 tests for CSS variable usage
- Accessibility: 3 tests for ARIA labels and roles
- Consistency: 2 tests for HTML/CSS/JS alignment

Also adds missing .update-check-result CSS class to style.css.

Run tests with:
  pytest tests/test_update_check_api.py tests/test_update_check_frontend.py -v

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-03 03:48:58 +00:00
meizhong986 095e206170 Check for Updates feature implementation 1st stab.
Summary of Changes

  Files Modified:

  1. whisperjav/webview_gui/assets/index.html
    - Added menu divider and Check for Updates menu item to theme menu (lines 28-31)
    - Added Update Check Modal dialog with loading/result/error states (lines 845-895)
  2. whisperjav/webview_gui/assets/app.js
    - Added UpdateCheckManager object with full modal lifecycle management (lines 4082-4241)
    - Added UpdateCheckManager.init() call in DOMContentLoaded (line 4265)
  3. whisperjav/webview_gui/assets/style.css
    - Added CSS for theme menu divider, update check modal, version display, badges, loading spinner, release notes (lines 2409-2583)
  4. whisperjav/webview_gui/api.py
    - Added import webbrowser (line 15)
    - Added open_url() method for opening GitHub releases in browser (lines 2279-2293)
2026-01-03 03:20:29 +00:00
meizhong986 cf1760daf3 feat(installer): Install from GitHub for latest fixes, wheel as fallback
Users now get the latest bug fixes automatically when installing.

## Change

Phase 5 of post_install_v1.7.5.py now:
1. **First tries**: `pip install --no-deps git+https://github.com/meizhong986/whisperjav.git`
2. **Falls back to**: bundled wheel if GitHub fails (offline/firewall/rate-limit)

## Benefits

- Users automatically get latest fixes (MPS fallback, Issue #104, device detection)
- No need to rebuild installer for every bug fix
- Bundled wheel still works for offline/restricted environments
- Clear messaging about what's happening and how to update later

## User Experience

```
Attempting to install WhisperJAV from GitHub (latest version)...
  Source: git+https://github.com/meizhong986/whisperjav.git
  This ensures you get the latest bug fixes and improvements.
✓ Successfully installed WhisperJAV from GitHub (latest)
```

Or if GitHub fails:
```
GitHub installation failed. This can happen due to:
  - Network issues or firewall restrictions
  - GitHub rate limiting
  - Temporary server issues

Falling back to bundled wheel: whisperjav-1.7.5-py3-none-any.whl
NOTE: Bundled version may not include latest bug fixes.
      You can update later with: pip install -U git+https://github.com/meizhong986/whisperjav.git
```

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-03 02:06:15 +00:00
meizhong986 eb18460da2 mapping of compute type for ctranslate2 cpu device:
Here's the accurate compute_type mapping:

  | Device | CTranslate2 (faster_whisper, kotoba) | PyTorch (openai_whisper, stable_ts) |
  |--------|--------------------------------------|-------------------------------------|
  | CUDA   | int8_float16                         | float16                             |
  | MPS    | (falls to CPU) → int8                | float16                             |
  | CPU    | int8                                 | float32                             |
2026-01-03 01:54:55 +00:00
meizhong986 2e3fe33c29 fix(ensemble): Pass source language through to ASR in ensemble mode
Fixes GitHub Issue #104 - Language setting not respected in ensemble mode.

## Problem

When using ensemble mode (two-pass transcription) with `--language en` or
setting language in the GUI, the language parameter was not being passed
through to the worker subprocesses. This caused:

- Pass 1 and Pass 2 workers to fallback to default language ("ja")
- resolve_language_code() in utils.py defaulting to "ja"
- English (or other language) audio being transcribed with Japanese model

The language flow was broken at the main.py → EnsembleOrchestrator boundary.

## Solution

### main.py (pass config creation)
Added `'language': language_code` to both pass1_config and pass2_config,
ensuring the CLI --language argument flows through to worker subprocesses.

### pass_worker.py (transformers pipeline)
Added language override at transformers pipeline creation:
```python
if pass_config.get("language"):
    hf_defaults["hf_language"] = pass_config["language"]
```

### pass_worker.py (legacy pipelines)
Added language override after resolve_legacy_pipeline:
```python
if pass_config.get("language"):
    resolved_config["language"] = pass_config["language"]
    resolved_config["params"]["decoder"]["language"] = pass_config["language"]
```

## Language Flow (After Fix)

```
GUI Language Setting
        ↓
API (--language en)
        ↓
main.py (language_code = "en")
        ↓
pass1_config["language"] = "en"
pass2_config["language"] = "en"
        ↓
EnsembleOrchestrator → Worker Subprocess
        ↓
pass_worker._build_pipeline()
        ↓
(Transformers) hf_defaults["hf_language"] = "en"
(Legacy) resolved_config["params"]["decoder"]["language"] = "en"
        ↓
ASR Module transcribes with correct language

```

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-03 01:42:15 +00:00
meizhong986 6bbdefa72c fix(asr): Add MPS→CPU fallback for faster-whisper/ctranslate2 on Apple Silicon
Fixes GitHub Issues #100 and #107.

## Problem

CTranslate2 (backend for faster-whisper) only supports "cuda" or "cpu" devices.
It does NOT support Apple's Metal Performance Shaders (MPS). When WhisperJAV's
device detector returned "mps" for Apple Silicon Macs, the device string was
passed directly to WhisperModel(), causing ctranslate2 to crash with:
- "ValueError: unsupported device mps"
- "This CTranslate2 package was not compiled with CUDA support"

References:
- https://github.com/OpenNMT/CTranslate2/issues/1562
- https://github.com/SYSTRAN/faster-whisper/issues/911

## Solution

Added MPS detection and automatic fallback to CPU mode in all three ASR modules
that use faster-whisper/ctranslate2:

1. whisperjav/modules/faster_whisper_pro_asr.py (balanced pipeline)
2. whisperjav/modules/kotoba_faster_whisper_asr.py (kotoba pipeline)
3. whisperjav/modules/stable_ts_asr.py (fast/faster pipelines, turbo_mode only)

When device="mps" is detected, the code now:
- Logs a warning explaining the limitation
- Falls back to device="cpu" with Apple Accelerate optimization
- Suggests using --mode transformers for GPU acceleration on Mac

## Documentation Updates

Restructured installation guides in README.md and RELEASE_NOTES_v1.7.5.md:
- Added "Best for:" subtitles to help users identify their section
- Combined Apple Silicon & Intel Mac into single section (script auto-detects)
- Added Xcode Command Line Tools requirement for Mac GUI (pyobjc compilation)
- Improved upgrade notice visibility
- Added performance expectations (GPU vs CPU processing times)
- Collapsible Advanced/Developer section to reduce noise for beginners

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-03 00:00:57 +00:00
meizhong986 cb1911c91c bump for v1.7.5 2026-01-02 22:39:02 +00:00
meizhong986 048f2e25b8 upgrade in place feature implemented.
True Best Practice Clean Upgrade Pattern.
Detect the old version.
Uninstall the old binaries (cleanup).
Preserve the heavy data (Models/Config).
Install the new version fresh.
2026-01-02 21:59:00 +00:00
meizhong986 abdcfbbbf4 update the validator to reflect the new architecture where NSIS handles shortcuts 2026-01-02 20:18:25 +00:00
meizhong986 0d0ef01e6e Major refactor. Remove WhsiperJAV.exe from frozen launcher.
Files Modified:

  | File                            | Change                                                           |
  |---------------------------------|------------------------------------------------------------------|
  | custom_template_v1.7.5.nsi.tmpl | Changed shortcut target from WhisperJAV.exe → WhisperJAV-GUI.exe |
  | construct_v1.7.5.yaml           | Removed WhisperJAV.exe from extra_files (not needed)             |
  | validate_installer_v1.7.5.py    | Removed WhisperJAV.exe from optional files                       |
  | build_installer_v1.7.5.bat      | Removed PyInstaller Phase 3, renumbered to 6 phases              |
  | post_install_v1.7.5.py          | Removed redundant Python shortcut code (Phase 6)                 |
2026-01-02 20:09:59 +00:00
meizhong986 5bc7997589 Installation .sh and .bat Scripts Updated
Both install_windows.bat and install_linux.sh are now aligned with the v1.7.5 installer.

  Changes Made

  | Feature             | install_windows.bat                                            | install_linux.sh                                           |
  |---------------------|----------------------------------------------------------------|------------------------------------------------------------|
  | CUDA 12.8 support   |  Added --cuda128 flag and auto-detection for driver 570+     |  Added --cuda128 flag and auto-detection for driver 570+ |
  | fsspec constraint   |  Added fsspec>=2025.3.0                                      |  Added fsspec>=2025.3.0                                  |
  | Progress bar        |  Added --progress-bar on to pip                              |  Added --progress-bar on to pip                          |
  | CUDA auto-detection |  Updated: 570+ → 12.8, 560+ → 12.6, 551+ → 12.4, else → 12.1 |  Added same logic                                        |
  | Help text           |  Updated with new options                                    |  Updated with new options                                |

  CUDA Auto-Selection Logic (Both Scripts)
2026-01-02 19:33:59 +00:00
meizhong986 21d9cc3905 Installation Improvements Implemented
1. fsspec Constraint Added

  Added to constraints_v1.7.5.txt:
  # fsspec for filesystem operations (prevent unnecessary downgrade)
  fsspec>=2025.3.0

  This prevents pip from unnecessarily downgrading fsspec during dependency resolution.

  2. Progress Indication Added to pip install
2026-01-02 19:20:18 +00:00
meizhong986 ac2427bf34 Installer bug fixes:
Issue 1: Shortcut Doesn't Work (Fixed)

  Root Cause: NSIS creates shortcut before post-install runs, pointing to WhisperJAV.exe (frozen PyInstaller launcher from build time). But the actual working executable WhisperJAV-GUI.exe is created during post-install from Scripts/whisperjav-gui.exe.

  Fix: Added create_desktop_shortcut() function to post_install_v1.7.5.py (lines 1096-1245):
  - Creates/updates desktop shortcut after WhisperJAV-GUI.exe is created
  - Points to WhisperJAV-GUI.exe (the correct executable)
  - Falls back to pythonw.exe -m whisperjav.webview_gui.main if needed
  - Uses PowerShell COM method (with VBScript fallback)
  - Sets icon, working directory, and description properly

  New Phase 6 added to main() that creates the shortcut at the right time.

  Issue 2: LIEF Icon Embedding Fails (Fixed)

  Root Cause: manager.change_icon(icon_path) method signature incompatible with current LIEF version.

  Fix: Updated embed_icon_in_exe() function (lines 977-1083):
  - Tries multiple LIEF API approaches (path method, PE parse method)
  - Fails gracefully with clear messaging
  - Notes that shortcut will display correct icon regardless
  - Marked as optional/best-effort operation
2026-01-02 19:13:04 +00:00
meizhong986 f3a1f73282 TeeLogger Implementation 2026-01-02 18:20:55 +00:00
meizhong986 0df9e4717f installer hardening. Files Modified
1. post_install_v1.7.5.py - All P0/P1/P2 code fixes
  2. build_installer_v1.7.5.bat - Added Phase 3 for PyInstaller compilation
  3. construct_v1.7.5.yaml - Added WhisperJAV.exe to extra_files
  4. custom_template_v1.7.5.nsi.tmpl - Smart shortcut creation (exe vs script fallback)
  5. validate_installer_v1.7.5.py - Added optional files handling

  Validation Results

  ✓ Required Files.......... PASS (wheel found)
  ✓ Version Consistency..... PASS (1.7.5 in all files)
  ✓ Module Paths............ PASS (webview_gui.main)
  ✓ Requirements Encoding... PASS (46 packages)
  ✓ Optional Files.......... PASS (WhisperJAV.exe built during installer build)
  ✓ Asset Files............. PASS (icon 106KB, license 1KB)
  ✓ Constraints File........ PASS (all critical pins present)
  ✓ YAML Syntax............. PASS (structure valid)
2026-01-02 18:09:41 +00:00
meizhong986 1c56b0aa5b Installation Scripts Updated
Both standalone installation scripts have been updated to be consistent with the v1.7.5 installer strategy:

  Changes Made to install_windows.bat:

  | Change                    | Description                                               |
  |---------------------------|-----------------------------------------------------------|
  | Added psutil>=5.9.0       | Process management utility                                |
  | Added hf_xet              | Faster HuggingFace downloads                              |
  | Enhanced ffmpeg-python    | Git URL first, PyPI fallback                              |
  | Improved logging          | More detailed phase logging                               |
  | Added verification phase  | Checks critical packages after install                    |
  | Better speech enhancement | More informative messages, proper datasets<4.0 constraint |
  | Sub-phases in Phase 4     | Core deps split into 4.1-4.5 for clarity                  |

  Changes Made to install_linux.sh:

  | Change                    | Description                                               |
  |---------------------------|-----------------------------------------------------------|
  | Added logging to file     | install_log_linux.txt                                     |
  | Added Git check           | Prerequisite validation                                   |
  | Added --dev mode          | Development/editable installation                         |
  | Added --help option       | Usage documentation                                       |
  | Added psutil>=5.9.0       | Process management utility                                |
  | Added hf_xet              | Faster HuggingFace downloads                              |
  | Added numba               | JIT compilation for speedups                              |
  | Added scikit-learn>=1.3.0 | Semantic scene detection                                  |
  | Enhanced ffmpeg-python    | Git URL first, PyPI fallback                              |
  | Added verification phase  | Checks critical packages after install                    |
  | Better speech enhancement | More informative messages, proper datasets<4.0 constraint |
  | Phase-based logging       | Matches Windows script structure                          |

  Feature Comparison (Updated)

  | Feature                     | install_windows.bat | install_linux.sh | v1.7.5 Installer |
  |-----------------------------|---------------------|------------------|------------------|
  | Phased installation         |          ✓          |        ✓         |        ✓         |
  | Core scientific stack first |          ✓          |        ✓         |        ✓         |
  | hf_xet                      |          ✓          |        ✓         |        ✓         |
  | psutil>=5.9.0               |          ✓          |        ✓         |        ✓         |
  | ffmpeg-python git URL       |          ✓          |        ✓         |        ✓         |
  | scikit-learn>=1.3.0         |          ✓          |        ✓         |        ✓         |
  | numba                       |          ✓          |        ✓         |        ✓         |
  | Verification phase          |          ✓          |        ✓         |        ✓         |
  | Logging to file             |          ✓          |        ✓         |        ✓         |
  | Retry mechanism             |          ✓          |        -         |        ✓         |
  | datasets>=2.14.0,<4.0       |          ✓          |        ✓         |        ✓         |

  All three installation methods (Windows installer, install_windows.bat, install_linux.sh) are now consistent with the same dependency versions and installation strategy.
2026-01-02 16:49:51 +00:00
meizhong986 70eca6f51e updated installation stages.
Full Overhaul

  1. Created constraints_v1.7.5.txt

  - Version pinning for problematic packages modelscope, clearvoice, bs-roformer, zipenhancer
  - Guards numpy>=2.0, datasets>=2.14.0,<4.0, pydantic>=2.0,<3.0
  - Prevents speech enhancement packages from downgrading critical dependencies

  2. Updated requirements_v1.7.5.txt

  - Added 15 missing packages including:
    - Speech enhancement: modelscope>=1.20, clearvoice git fork, bs-roformer-infer, onnxruntime>=1.16.0
    - ModelScope dependencies: addict, datasets>=2.14.0,<4.0, simplejson, sortedcontainers, packaging
    - Utilities: pydub, regex, psutil>=5.9.0, hf_xet
  - Fixed version constraints: numpy>=2.0, scipy>=1.10.1, librosa>=0.11.0
  - Fixed ffmpeg-python to use git URL PyPI tarball fails
  - Total: 46 packages up from 34

  3. Fixed Desktop Shortcut Creation in NSIS Template

  - Changed shortcut creation to unconditional was conditional on ENABLE_SHORTCUTS
  - Added Start Menu shortcuts WhisperJAV folder with app + uninstaller
  - Added shortcut cleanup in uninstaller section
  - Root cause:  defaulted to UNCHECKED when ENABLE_SHORTCUTS != yes

  4. Updated construct_v1.7.5.yaml

  - Added constraints_v1.7.5.txt to extra_files

  5. Refactored post_install_v1.7.5.py with Phased Installation

  - Added constraints file support -c constraints_v1.7.5.txt
  - Added Phase 4.5: Verify Critical Dependencies to check installed packages
  - Added troubleshooting guide on installation failure

  6. Enhanced Installation Logging

  - New log_environment_info function with:
    - Platform info, Python version, datetime
    - PATH entries first 10
    - Disk space at installation directory
    - Critical executables check python, pythonw, pip, git, ffmpeg
  - Enhanced installation summary with:
    - GPUCUDA status with memory info
    - Key packages verification 10 critical packages
    - Shortcut status
    - Troubleshooting section

  7. Updated Validation Script

  - Added constraints_v1.7.5.txt to required files
  - New Phase 6: Constraints File Validation checking 5 critical constraints
  - Bumped YAML validation to Phase 7
2026-01-02 16:42:12 +00:00
meizhong986 e07adfac3b release(v1.7.5): Hotfix release with FFmpeg fix and experimental upgrade feature
Changes:
- Bump version to 1.7.5
- Generate all v1.7.5 installer files from v1.7.4 templates
- Create release notes highlighting:
  * Fixed missing FFmpeg issue in conda-constructor installer
  * Experimental self-upgrade feature (whisperjav-upgrade CLI)
  * Update notification system in GUI

Installer files created:
- construct_v1.7.5.yaml
- post_install_v1.7.5.bat/py
- requirements_v1.7.5.txt
- WhisperJAV_Launcher_v1.7.5.py
- build_installer_v1.7.5.bat
- README_INSTALLER_v1.7.5.txt
- validate_installer_v1.7.5.py
- create_desktop_shortcut_v1.7.5.bat
- uninstall_v1.7.5.bat
- custom_template_v1.7.5.nsi.tmpl

All 80 upgrade tests pass.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-02 14:40:03 +00:00
42 changed files with 18073 additions and 250 deletions

210
README.md
View File

@ -231,106 +231,160 @@ Whisper sometimes generates repeated text or phrases that weren't spoken. Whispe
## Installation
### Windows Installer (Easiest)
### Windows (Recommended)
Download and run: **WhisperJAV-1.7.4-Windows-x86_64.exe**
*Best for: Most users, beginners, and those who want a GUI.*
This installs everything you need including Python and dependencies.
1. **Download the Installer:**
**[Download WhisperJAV-1.7.5-Windows-x86_64.exe](https://github.com/meizhong986/WhisperJAV/releases/latest)**
2. **Run the File:** Double-click the downloaded `.exe`.
3. **Follow the Prompts:** The installer handles all dependencies (Python, FFmpeg, Git) automatically.
4. **Launch:** Open "WhisperJAV" from your Desktop shortcut.
### Upgrading from Previous Installer Versions
> **Note:** The first launch may take a few minutes as it initializes the engine. GPU is auto-detected; CPU-only mode is used if no compatible GPU is found.
If you installed v1.5.x or v1.6.x via the Windows installer:
**Upgrading?** Just run the new installer. Your AI models (~3GB), settings, and cached downloads will be preserved.
1. Download [upgrade_whisperjav.bat](https://github.com/meizhong986/whisperjav/raw/main/installer/upgrade_whisperjav.bat)
2. Double-click to run
3. Wait 1-2 minutes
---
This updates WhisperJAV without re-downloading PyTorch (~2.5GB) or your AI models (~3GB).
### macOS (Apple Silicon & Intel)
### Install from Source
*Best for: M1/M2/M3/M4 users and Intel Mac users.*
Requires Python 3.9-3.12, FFmpeg, and Git.
The install script auto-detects your Mac architecture and handles PyTorch dependencies automatically.
**Recommended: Use the install scripts** (handles dependency conflicts automatically, auto-detects GPU):
**1. Install Prerequisites**
```bash
# Install Xcode Command Line Tools (required for GUI)
xcode-select --install
# Install Homebrew (if not installed)
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# Install system tools
brew install python@3.11 ffmpeg git
```
> **GUI Requirement:** The Xcode Command Line Tools are required to compile `pyobjc`, which enables the GUI. Without it, only CLI mode will work.
**2. Install WhisperJAV**
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
chmod +x installer/install_linux.sh
# Run the installer (auto-detects Mac architecture)
./installer/install_linux.sh
```
> **Intel Macs:** The script automatically uses CPU-only mode. Expect slower processing (5-10x) compared to Apple Silicon with MPS acceleration.
---
### Linux (Ubuntu/Debian/Fedora)
*Best for: Servers, desktops with NVIDIA GPUs.*
The install script auto-detects NVIDIA GPUs and installs the matching CUDA version.
**1. Install System Dependencies**
```bash
# Debian / Ubuntu
sudo apt-get update && sudo apt-get install -y python3-dev python3-pip build-essential ffmpeg libsndfile1 git
# Fedora / RHEL
sudo dnf install python3-devel gcc ffmpeg libsndfile git
```
**2. Install WhisperJAV**
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
chmod +x installer/install_linux.sh
# Standard Install (auto-detects GPU)
./installer/install_linux.sh
# Or force CPU-only (for servers without GPU)
./installer/install_linux.sh --cpu-only
```
> **Performance:** A 2-hour video takes ~5-10 minutes on GPU vs ~30-60 minutes on CPU.
---
### Advanced / Developer
*Best for: Contributors and Python experts.*
<details>
<summary><b>Windows</b></summary>
<summary><b>Manual pip install</b></summary>
> **Warning:** Manual `pip install` is risky due to dependency conflicts (NumPy 2.x vs SciPy). We strongly recommend using the scripts above.
**1. Create Environment**
```bash
python -m venv whisperjav-env
source whisperjav-env/bin/activate # Linux/Mac
# whisperjav-env\Scripts\activate # Windows
```
**2. Install PyTorch First (Critical)**
You must install PyTorch *before* the main package to ensure hardware acceleration works.
- **NVIDIA GPU:** `pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu124`
- **Apple Silicon:** `pip install torch torchaudio`
- **CPU only:** `pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu`
**3. Install WhisperJAV**
```bash
pip install git+https://github.com/meizhong986/whisperjav.git@main
```
</details>
<details>
<summary><b>Editable / Dev install</b></summary>
Use this if you plan to modify the code.
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
# Windows
installer\install_windows.bat --dev
# Mac/Linux
./installer/install_linux.sh --dev
# Or manual
pip install -e ".[dev]"
```
</details>
<details>
<summary><b>Windows source install</b></summary>
```batch
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
installer\install_windows.bat # Auto-detects GPU and CUDA version
installer\install_windows.bat # Auto-detects GPU
installer\install_windows.bat --cpu-only # Force CPU only
installer\install_windows.bat --cuda118 # Force CUDA 11.8
installer\install_windows.bat --cuda124 # Force CUDA 12.4
installer\install_windows.bat --minimal # Minimal install (no speech enhancement)
installer\install_windows.bat --dev # Development/editable install
```
The script automatically:
- Detects your NVIDIA GPU and selects optimal CUDA version
- Falls back to CPU-only if no GPU found
- Checks for WebView2 runtime (required for GUI)
- Logs installation to `install_log_windows.txt`
- Retries failed downloads up to 3 times
</details>
<details>
<summary><b>Linux / macOS</b></summary>
```bash
# Install system dependencies first (Linux only)
# Debian/Ubuntu:
sudo apt-get install -y python3-dev build-essential ffmpeg libsndfile1
# Fedora/RHEL:
sudo dnf install python3-devel gcc ffmpeg libsndfile
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
chmod +x installer/install_linux.sh
./installer/install_linux.sh # Auto-detects GPU
./installer/install_linux.sh --cpu-only # Force CPU only
./installer/install_linux.sh --minimal # Minimal install
```
</details>
<details>
<summary><b>Cross-Platform Python Script</b></summary>
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
python install.py # Auto-detects GPU, defaults to CUDA 12.1
python install.py --cpu-only # CPU only
python install.py --cuda118 # CUDA 11.8
python install.py --cuda121 # CUDA 12.1
python install.py --cuda124 # CUDA 12.4
python install.py --minimal # Minimal install (no speech enhancement)
python install.py --dev # Development/editable install
```
</details>
**Alternative: Manual pip install** (may encounter dependency conflicts):
```bash
# Install PyTorch with GPU support first (NVIDIA example)
pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu124
# Then install WhisperJAV
pip install git+https://github.com/meizhong986/whisperjav.git@main
```
**Platform Notes:**
- **Apple Silicon (M1/M2/M3/M4)**: Just `pip install torch torchaudio` - MPS acceleration works automatically
- **AMD GPU (ROCm)**: Experimental. Use `--mode balanced` for best compatibility
- **CPU only**: Works but slow. Use `--accept-cpu-mode` to skip the GPU warning
- **Linux server (no GPU)**: The install scripts auto-detect and switch to CPU-only
- **Linux (Debian/Ubuntu)**: Install system dependencies first: `sudo apt-get install -y python3-dev build-essential ffmpeg libsndfile1`
### Prerequisites
- **Python 3.9-3.12** (3.13+ not compatible with openai-whisper)

281
RELEASE_NOTES_v1.7.5.md Normal file
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# WhisperJAV v1.7.5 Release Notes
**Release Date:** January 2026
---
## New Features
### In-App Upgrade System (Experimental)
A complete upgrade system that checks for new versions and allows one-click updates.
| Interface | Command |
|-----------|---------|
| **GUI** | Notification appears on startup when updates are available |
| **CLI** | `whisperjav-upgrade --check` |
| **CLI** | `whisperjav-upgrade --yes` (auto-confirm) |
| **CLI** | `whisperjav-upgrade --wheel-only` (skip dependencies) |
**Update Notification Intervals:**
- Critical/security updates: Always shown
- Major updates: Shown every launch
- Minor updates: Shown monthly
- Patch updates: Shown weekly (dismissable)
> **Note:** This feature is experimental. Backup important files before upgrading.
---
### Resumable Processing
| Feature | Description |
|---------|-------------|
| **Translation Resume** | Interrupted translations continue from where they stopped |
| **Batch Skip** | `--skip-existing` flag skips files that already have subtitles |
---
### GPU Auto-Detection
Installer and runtime now automatically detect GPU availability and fall back to CPU-only mode when no compatible GPU is found.
---
### Installation Scripts
New standalone scripts for source builds with automatic CUDA detection:
| Script | Platform | CUDA Support |
|--------|----------|--------------|
| `install_windows.bat` | Windows | Auto-detect (11.8, 12.1, 12.4, 12.6, 12.8) |
| `install_linux.sh` | Linux | Auto-detect (11.8, 12.1, 12.4, 12.6, 12.8) |
---
## Bug Fixes
| Issue | Description |
|-------|-------------|
| [#97](https://github.com/meizhong986/WhisperJAV/issues/97) | Fixed FFmpeg path not found in installer |
| [#96](https://github.com/meizhong986/WhisperJAV/issues/96) | Added GUI documentation for tab relationships and settings persistence |
| [#95](https://github.com/meizhong986/WhisperJAV/issues/95) | Fixed CUDA driver compatibility - falls back to CPU if incompatible |
| [#94](https://github.com/meizhong986/WhisperJAV/issues/94) | Fixed Semantic options in Advanced tab |
| [#92](https://github.com/meizhong986/WhisperJAV/issues/92) | Fixed version number display in GUI |
| - | Fixed installer shortcut not launching application |
---
## Installer Improvements
- Improved Windows installer robustness and completeness
- Added `fsspec>=2025.3.0` constraint to prevent unnecessary downgrades
- Added progress indication during pip install phase
- NSIS now handles all shortcut creation (proper separation of concerns)
- Added support for CUDA 12.8 (driver 570+)
- Fixed desktop shortcut pointing to correct executable (`WhisperJAV-GUI.exe`)
---
## Documentation Updates
- GUI documentation for tab relationships and settings persistence
- Speech enhancement CLI documentation
- Updated installation section with new scripts and features
---
## Installation
### Upgrading from v1.7.4?
If you are upgrading from version 1.7.4, simply run the new installer.
- **Do not uninstall manually.** The installer will detect your previous version.
- **Data Safety:** Your AI models (~3GB), settings, and cached downloads will be **preserved**.
- **Clean Install:** The installer will automatically clean up old dependency conflicts.
---
### Windows (Recommended)
*Best for: Most users, beginners, and those who want a GUI.*
1. **Download the Installer:**
**[Download WhisperJAV-1.7.5-Windows-x86_64.exe](https://github.com/meizhong986/WhisperJAV/releases/tag/v1.7.5)**
2. **Run the File:** Double-click the downloaded `.exe`.
3. **Follow the Prompts:** The installer handles all dependencies (Python, FFmpeg, Git) automatically.
4. **Launch:** Open "WhisperJAV" from your Desktop shortcut.
> **Note:** The first launch may take a few minutes as it initializes the engine. GPU is auto-detected; CPU-only mode is used if no compatible GPU is found.
---
### macOS (Apple Silicon & Intel)
*Best for: M1/M2/M3/M4 users and Intel Mac users.*
The install script auto-detects your Mac architecture and handles PyTorch dependencies automatically.
**1. Install Prerequisites**
```bash
# Install Xcode Command Line Tools (required for GUI)
xcode-select --install
# Install Homebrew (if not installed)
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# Install system tools
brew install python@3.11 ffmpeg git
```
> **GUI Requirement:** The Xcode Command Line Tools are required to compile `pyobjc`, which enables the GUI. Without it, only CLI mode will work.
**2. Install WhisperJAV**
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
chmod +x installer/install_linux.sh
# Run the installer (auto-detects Mac architecture)
./installer/install_linux.sh
```
> **Intel Macs:** The script automatically uses CPU-only mode. Expect slower processing (5-10x) compared to Apple Silicon with MPS acceleration.
---
### Linux (Ubuntu/Debian/Fedora)
*Best for: Servers, desktops with NVIDIA GPUs.*
The install script auto-detects NVIDIA GPUs and installs the matching CUDA version.
**1. Install System Dependencies**
```bash
# Debian / Ubuntu
sudo apt-get update && sudo apt-get install -y python3-dev python3-pip build-essential ffmpeg libsndfile1 git
# Fedora / RHEL
sudo dnf install python3-devel gcc ffmpeg libsndfile git
```
**2. Install WhisperJAV**
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
chmod +x installer/install_linux.sh
# Standard Install (auto-detects GPU)
./installer/install_linux.sh
# Or force CPU-only (for servers without GPU)
./installer/install_linux.sh --cpu-only
```
> **Performance:** A 2-hour video takes ~5-10 minutes on GPU vs ~30-60 minutes on CPU.
---
### Advanced / Developer
*Best for: Contributors and Python experts.*
<details>
<summary><b>Manual pip install</b></summary>
> **Warning:** Manual `pip install` is risky due to dependency conflicts (NumPy 2.x vs SciPy). We strongly recommend using the scripts above.
**1. Create Environment**
```bash
python -m venv whisperjav-env
source whisperjav-env/bin/activate # Linux/Mac
# whisperjav-env\Scripts\activate # Windows
```
**2. Install PyTorch First (Critical)**
You must install PyTorch *before* the main package to ensure hardware acceleration works.
- **NVIDIA GPU:** `pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu124`
- **Apple Silicon:** `pip install torch torchaudio`
- **CPU only:** `pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu`
**3. Install WhisperJAV**
```bash
pip install git+https://github.com/meizhong986/whisperjav.git@main
```
</details>
<details>
<summary><b>Editable / Dev install</b></summary>
Use this if you plan to modify the code.
```bash
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
# Windows
installer\install_windows.bat --dev
# Mac/Linux
./installer/install_linux.sh --dev
# Or manual
pip install -e ".[dev]"
```
</details>
<details>
<summary><b>Windows source install</b></summary>
```batch
git clone https://github.com/meizhong986/whisperjav.git
cd whisperjav
installer\install_windows.bat # Auto-detects GPU
installer\install_windows.bat --cpu-only # Force CPU only
installer\install_windows.bat --cuda118 # Force CUDA 11.8
installer\install_windows.bat --cuda124 # Force CUDA 12.4
```
</details>
---
## Technical Details
### New Files
- `whisperjav/version_checker.py` - Version checking and update notifications
- `whisperjav/upgrade.py` - Self-upgrade CLI tool
- `tests/test_upgrade_version_checker.py` - 44 tests for version checker
- `tests/test_upgrade_cli.py` - 36 tests for upgrade CLI
### Test Coverage
- 80 automated tests for upgrade system
---
## Known Issues
- Self-upgrade on Windows may require Administrator privileges if installed in Program Files
- Update notifications require GUI restart after upgrade
---
## Contributors
- MeiZhong - Development and testing
- Claude (Anthropic) - Code assistance and documentation
---
**Questions or Issues?** [Open a GitHub issue](https://github.com/meizhong986/WhisperJAV/issues)

View File

@ -0,0 +1,409 @@
===============================================================================
WhisperJAV v1.7.5
Japanese AV Subtitle Generator with AI
===============================================================================
Thank you for installing WhisperJAV!
-------------------------------------------------------------------------------
QUICK START
-------------------------------------------------------------------------------
1. Double-click the "WhisperJAV v1.7.5" desktop icon
2. Select your video/audio files using "Add File(s)" or "Add Folder"
3. Choose processing mode (Balanced recommended for best quality)
4. Click "Start" to begin processing
5. Subtitles will be saved next to your media files in an output folder
FIRST RUN NOTE: On your first transcription, AI models will download (~3GB).
This is a one-time download that takes 5-10 minutes depending
on your internet speed. Progress is shown in the GUI.
-------------------------------------------------------------------------------
WHAT'S NEW IN v1.7.5 (HOTFIX RELEASE)
-------------------------------------------------------------------------------
Version 1.7.5 is a hotfix release addressing critical issues:
1. CRITICAL BUG FIXES
- Fixed missing FFmpeg issue in conda-constructor installer
- FFmpeg now correctly bundled and accessible in PATH
2. NEW EXPERIMENTAL FEATURES
- Self-upgrade system (EXPERIMENTAL)
* Check for updates via GUI or CLI: whisperjav-upgrade --check
* Automatic upgrade: whisperjav-upgrade --yes
* Note: This feature is in evaluation phase - use with caution
- Update notifications in GUI when new versions are available
IMPORTANT: The upgrade feature is EXPERIMENTAL. While we've tested it
extensively, we recommend backing up important files before upgrading.
Please report any issues at: https://github.com/meizhong986/WhisperJAV/issues
-------------------------------------------------------------------------------
PREVIOUS RELEASE: v1.7.4
-------------------------------------------------------------------------------
Version 1.7.4 brought major improvements across 5 key areas:
1. MULTI-PLATFORM GPU SUPPORT
- Apple Silicon Macs (M1/M2/M3/M4/M5) with native GPU acceleration
- NVIDIA Blackwell architecture (RTX 50-series) support
- Automatic device detection for best performance
2. RESUME TRANSLATION FEATURE
- Never lose translation progress - auto-save after each batch
- Resume interrupted translations without re-translating
- Saves API costs by preserving completed work
3. MULTI-LANGUAGE SUPPORT (EXPERIMENTAL)
- Chinese and Korean transcription
- Selectable source language in GUI
- Optimized for Japanese, basic support for others
4. GUI IMPROVEMENTS
- Clearer language selection options
- CPU mode acceptance checkbox (skip GPU warnings)
- Fixed UI scrolling performance
- Enhanced drag & drop support
5. BUG FIXES
- Windows UTF-8 encoding fix (Japanese filenames work correctly)
- CUDA version detection fix (accurate GPU detection)
- UI scrolling performance improvements
-------------------------------------------------------------------------------
WHAT THIS INSTALLER DOES
-------------------------------------------------------------------------------
This installer sets up a complete, self-contained WhisperJAV environment:
1. Base Environment Setup (~1-2 minutes)
- Python 3.10.18 with conda package manager
- FFmpeg for audio/video processing
- Git for GitHub package installs
2. Post-Installation Downloads (~8-15 minutes, ~2.5 GB download)
- PyTorch with CUDA support (for NVIDIA GPU acceleration)
OR CPU-only PyTorch (if no compatible GPU detected)
- Python dependencies (Whisper, audio processing, translation)
- WhisperJAV application from GitHub
3. Setup and Configuration
- WhisperJAV-GUI.exe launcher created in installation folder
- Desktop shortcut creation (points to WhisperJAV-GUI.exe)
- Environment configuration
- WebView2 runtime check (required for GUI)
TOTAL INSTALLATION TIME: ~10-20 minutes (depending on internet speed)
TOTAL DISK SPACE REQUIRED: ~8 GB (install + cache + models)
-------------------------------------------------------------------------------
SYSTEM REQUIREMENTS
-------------------------------------------------------------------------------
MINIMUM:
- Windows 10 (64-bit) or Windows 11
- 8 GB RAM (16 GB recommended for large models)
- 8 GB free disk space (install + models + cache)
- Internet connection (for downloads)
- Microsoft Edge WebView2 Runtime (installer will prompt if missing)
RECOMMENDED FOR BEST PERFORMANCE:
- NVIDIA GPU with 6+ GB VRAM (RTX 2060 or better)
- NVIDIA Driver with CUDA 11.8 or newer (CUDA 12.1+ preferred)
- 16 GB RAM
- SSD for faster processing
SUPPORTED PLATFORMS (v1.7.5):
- Windows: NVIDIA GPU (RTX 20/30/40/50-series) or CPU-only
- macOS: Apple Silicon (M1/M2/M3/M4/M5) with native MPS acceleration
- macOS: Intel (CPU-only, slower)
- Linux: NVIDIA GPU or CPU-only
CPU-ONLY MODE:
WhisperJAV can run without an NVIDIA GPU using CPU-only mode, but
processing will be significantly slower (6-10x slower than GPU mode).
Expect 30-60 minutes per hour of video on CPU vs 5-10 minutes on GPU.
CUDA GPU ACCELERATION:
The installer automatically detects your NVIDIA driver's CUDA version and
installs the best matching PyTorch build for optimal performance:
- CUDA 11.8 - 12.0: PyTorch with CUDA 11.8 support
- CUDA 12.1 - 12.3: PyTorch with CUDA 12.1 support
- CUDA 12.4 - 12.7: PyTorch with CUDA 12.4 support
- CUDA 12.8+: PyTorch with CUDA 12.4+ (Blackwell support)
This ensures you get the best possible GPU acceleration for your hardware
while maintaining compatibility with your driver version.
-------------------------------------------------------------------------------
AFTER INSTALLATION
-------------------------------------------------------------------------------
LAUNCHING THE APPLICATION:
- Desktop shortcut: "WhisperJAV v1.7.5.lnk" (double-click to start)
- Manual launch: Double-click WhisperJAV-GUI.exe in installation folder
- Alternative: Open the installation folder and run:
pythonw.exe -m whisperjav.webview_gui.main
INSTALLATION LOCATION:
- Default: C:\Users\[YourName]\AppData\Local\WhisperJAV
- Or custom location chosen during installation
LOGS AND DIAGNOSTICS:
- Installation log: install_log_v1.7.5.txt (in install folder)
- Application logs: Shown in GUI console during processing
- Failure marker: INSTALLATION_FAILED_v1.7.5.txt (only if install failed)
OUTPUT FILES:
- Subtitles are saved next to your input video/audio files
- Format: SRT (SubRip Text) - compatible with most video players
- Filename pattern: [original_name]_output/[original_name].srt
-------------------------------------------------------------------------------
SELF-UPGRADE FEATURE (EXPERIMENTAL)
-------------------------------------------------------------------------------
WhisperJAV v1.7.5 introduces an experimental self-upgrade system:
COMMAND LINE USAGE:
# Check for updates
whisperjav-upgrade --check
# Upgrade to latest version (with confirmation)
whisperjav-upgrade
# Upgrade without confirmation
whisperjav-upgrade --yes
# Wheel-only upgrade (skip installer dependencies)
whisperjav-upgrade --wheel-only
GUI NOTIFICATION:
- The GUI will notify you when updates are available
- Click the notification to open the releases page
- Or use the CLI command to upgrade
IMPORTANT NOTES:
- This feature is EXPERIMENTAL - backup important files first
- The upgrade preserves your settings and cached models
- If something goes wrong, reinstall from the latest installer
- Report issues at: https://github.com/meizhong986/WhisperJAV/issues
-------------------------------------------------------------------------------
FEATURES
-------------------------------------------------------------------------------
PROCESSING MODES:
- Balanced: Best quality, uses scene detection + voice activity detection
- Fast: Good quality, faster than balanced, uses scene detection
- Faster: Fastest processing, direct transcription without preprocessing
SENSITIVITY LEVELS:
- Conservative: Fewer false positives, cleaner output
- Balanced: Good balance of detail and accuracy (recommended)
- Aggressive: Maximum detail capture, may include more background noise
SOURCE LANGUAGES:
- Japanese: Fully optimized, best results
- Korean: Experimental, basic support
- Chinese: Experimental, basic support
- English: Experimental
OUTPUT LANGUAGES:
- Native: Original language transcription (default)
- Direct to English: English transcription via Whisper
ADVANCED FEATURES:
- Batch processing: Process multiple files sequentially
- Model override: Choose specific Whisper models (large-v3, large-v2, turbo)
- Opening credits: Add custom credit lines to subtitles
- Async processing: Process multiple files simultaneously (experimental)
- Translation: Translate subtitles to other languages (via whisperjav-translate)
- Resume Translation: Resume interrupted translations automatically
- Self-Upgrade: Update to latest version via CLI (experimental)
-------------------------------------------------------------------------------
TROUBLESHOOTING
-------------------------------------------------------------------------------
INSTALLATION ISSUES:
1. "NVIDIA driver not found" or "CUDA version too old":
- Download latest driver from: https://www.nvidia.com/drivers
- Or accept CPU-only installation when prompted (slower processing)
2. "WebView2 runtime not detected":
- The installer will open: https://go.microsoft.com/fwlink/p/?LinkId=2124703
- Download and install the "Evergreen Standalone Installer"
- Most Windows 10/11 systems have this pre-installed
3. "Network connection failed":
- Check your internet connection
- Disable VPN or proxy temporarily
- Check firewall settings (allow Python, pip, git)
4. "Out of disk space":
- Free up at least 8 GB on your system drive
- Models are downloaded to C:\Users\[Name]\.cache\whisper (~3 GB)
5. "Installation failed after retries":
- Check install_log_v1.7.5.txt for specific error messages
- Common causes: antivirus blocking downloads, network timeout
- Try running the installer as Administrator (right-click > Run as admin)
6. "FFmpeg not found" (FIXED in v1.7.5):
- This issue has been fixed in v1.7.5
- FFmpeg is now correctly bundled in the installer
- If you still see this, try reinstalling from the v1.7.5 installer
RUNTIME ISSUES:
1. "GUI won't launch" or "Blank window":
- Ensure WebView2 is installed (see issue #2 above)
- Try running from command line to see error messages:
python.exe -m whisperjav.webview_gui.main
2. "Processing is very slow":
- Check if CUDA is enabled: Look for "GPU acceleration: ENABLED" in console
- If CPU-only, consider upgrading to an NVIDIA GPU
- For large videos, use "faster" mode for quicker results
3. "Model download stuck":
- Large models (3GB) can take 10-20 minutes on slow connections
- Check your internet speed: https://fast.com
- Models are cached, so this only happens once
4. "Subtitles have errors or gibberish":
- Try "balanced" mode for better quality
- Use "conservative" sensitivity to reduce false positives
- Ensure correct source language is selected
- For non-Japanese audio, try English or other languages
5. "Application crashes during processing":
- Check logs in the GUI console
- Ensure you have enough RAM (16 GB recommended)
- Try processing one file at a time instead of batch
- Report crashes at: https://github.com/meizhong986/WhisperJAV/issues
-------------------------------------------------------------------------------
UNINSTALLING
-------------------------------------------------------------------------------
To completely remove WhisperJAV v1.7.5:
1. Delete the installation directory:
C:\Users\[YourName]\AppData\Local\WhisperJAV (or your custom location)
2. Delete the desktop shortcut:
Desktop\WhisperJAV v1.7.5.lnk
3. (Optional) Delete cached models to free up ~3 GB:
C:\Users\[YourName]\.cache\whisper
4. (Optional) Delete user configuration:
[Install Directory]\whisperjav_config.json
NOTE: An automated uninstaller (uninstall_v1.7.5.bat) is included in the
installation directory for your convenience.
-------------------------------------------------------------------------------
PERFORMANCE TIPS
-------------------------------------------------------------------------------
1. GPU Acceleration:
- Ensure NVIDIA drivers are up to date
- Close other GPU-intensive applications before processing
- Verify CUDA is enabled by checking console output
2. Processing Speed:
- "faster" mode: ~5 minutes per hour of video (GPU)
- "fast" mode: ~7 minutes per hour of video (GPU)
- "balanced" mode: ~10 minutes per hour of video (GPU)
3. Quality vs Speed:
- For best accuracy: Use "balanced" mode with "balanced" sensitivity
- For speed: Use "faster" mode with "conservative" sensitivity
- For maximum detail: Use "balanced" mode with "aggressive" sensitivity
4. Batch Processing:
- Process multiple files overnight using batch mode
- Use "async processing" (experimental) for parallel execution
5. Translation Tips:
- Enable resume feature for long translations
- Progress auto-saved after each batch
- Re-run same command to resume interrupted translations
-------------------------------------------------------------------------------
ADVANCED USAGE
-------------------------------------------------------------------------------
COMMAND-LINE INTERFACE:
WhisperJAV also includes a CLI for automation and scripting:
# Basic transcription
whisperjav video.mp4 --mode balanced --sensitivity aggressive
# With translation
whisperjav video.mp4 --translate --target-lang english
# Batch processing
whisperjav folder/*.mp4 --mode fast --workers 2
Run "whisperjav --help" for full CLI documentation
TRANSLATION:
Use whisperjav-translate for AI-powered subtitle translation:
# Translate Japanese to English
whisperjav-translate -i subtitles.srt --target english
# Use custom instructions
whisperjav-translate -i subtitles.srt --custom-gist [URL]
# Resume interrupted translation
whisperjav-translate -i subtitles.srt
# (Progress auto-saves, just re-run if interrupted)
See translation documentation for setup and API key configuration
SELF-UPGRADE (EXPERIMENTAL):
# Check for updates
whisperjav-upgrade --check
# Upgrade to latest version
whisperjav-upgrade --yes
-------------------------------------------------------------------------------
SUPPORT & COMMUNITY
-------------------------------------------------------------------------------
GitHub Repository: https://github.com/meizhong986/WhisperJAV
Issue Tracker: https://github.com/meizhong986/WhisperJAV/issues
Documentation: See GitHub README
For bugs, feature requests, or questions, please open an issue on GitHub
with detailed information about your system and the problem.
-------------------------------------------------------------------------------
VERSION INFORMATION
-------------------------------------------------------------------------------
WhisperJAV Version: 1.7.5
Release Date: January 2026
Installer Version: v1.7.5 (conda-constructor)
Release Type: Hotfix
Key Changes in 1.7.5:
- Fixed missing FFmpeg issue in installer
- Added experimental self-upgrade feature
- Added update notification system
- Improved installer robustness
Previous Major Changes (1.7.4):
- Multi-platform GPU support (Apple Silicon, Blackwell)
- Resume translation feature (auto-save progress)
- Multi-language support (Chinese, Korean - experimental)
- GUI improvements (language selection, CPU mode checkbox)
- Critical bug fixes (UTF-8 encoding, CUDA detection, UI scrolling)
For full release notes, see RELEASE_NOTES_v1.7.5.md
-------------------------------------------------------------------------------
LICENSE
-------------------------------------------------------------------------------
WhisperJAV is released under the MIT License.
See LICENSE.txt in the installation directory for details.
Copyright (c) 2025-2026 MeiZhong and contributors
===============================================================================

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#!/usr/bin/env python
"""
WhisperJAV v1.7.5 GUI Launcher
================================
This launcher script:
1. Sets up the Python environment (PATH for ffmpeg, DLLs)
2. Checks for first-run status (informational only)
3. Launches the PyWebView GUI using pythonw.exe (no console window)
4. Detaches the GUI process so the launcher can exit
The GUI handles all user interaction, including model downloads
on first transcription.
No Tkinter dependency - all messages go to console (if run from terminal)
or are handled by the GUI itself.
"""
import os
import sys
import json
import subprocess
from pathlib import Path
def log_first_run_info(install_root: Path):
"""
Check if this is first run and log informational message.
Note: We don't prompt the user here. The PyWebView GUI will handle
model downloads automatically when the user starts their first transcription.
"""
config_path = install_root / "whisperjav_config.json"
try:
if config_path.exists():
with open(config_path, 'r', encoding='utf-8') as f:
config = json.load(f)
if config.get("first_run", True):
print("=" * 60)
print(" WhisperJAV First Run")
print("=" * 60)
print("AI models (~3GB) will download on first transcription.")
print("This is a one-time download that takes 5-10 minutes.")
print("=" * 60)
print()
# Mark first run as complete
config["first_run"] = False
with open(config_path, 'w', encoding='utf-8') as f:
json.dump(config, f, indent=2)
else:
# Create default config for first run
config = {
"first_run": True,
"version": "1.7.5"
}
with open(config_path, 'w', encoding='utf-8') as f:
json.dump(config, f, indent=2)
except Exception as e:
# Non-fatal: if config handling fails, just continue
print(f"Note: Could not read/write config file: {e}")
print("This won't affect the application.")
def main():
"""Launch WhisperJAV GUI using pythonw.exe (windowless)"""
try:
# Determine installation root directory
# When frozen (PyInstaller), use directory of executable
# Otherwise, use sys.prefix (conda environment root)
if getattr(sys, 'frozen', False):
install_root = Path(os.path.dirname(sys.executable))
else:
install_root = Path(sys.prefix)
print(f"WhisperJAV v1.7.5 Launcher")
print(f"Installation: {install_root}")
print()
# Add Scripts and Library\bin to PATH for this session
# This ensures ffmpeg and other DLLs are accessible
scripts_dir = install_root / "Scripts"
lib_bin_dir = install_root / "Library" / "bin"
path_additions = [
str(scripts_dir),
str(lib_bin_dir),
os.environ.get("PATH", "")
]
os.environ["PATH"] = os.pathsep.join(path_additions)
# Check for first run (informational only)
log_first_run_info(install_root)
# Find pythonw.exe (preferred) or python.exe (fallback)
pythonw = install_root / "pythonw.exe"
if not pythonw.exists():
pythonw = install_root / "python.exe"
if not pythonw.exists():
print(f"ERROR: Cannot find Python executable in {install_root}")
print("Installation may be corrupted.")
input("Press Enter to exit...")
sys.exit(1)
print(f"Launching GUI...")
print(f"Using: {pythonw}")
print()
# Build command to launch PyWebView GUI
cmd = [
str(pythonw),
"-m",
"whisperjav.webview_gui.main"
]
# Launch as detached process (DETACHED_PROCESS flag on Windows)
# This allows the launcher to exit while the GUI continues running
if sys.platform == "win32":
creationflags = subprocess.DETACHED_PROCESS | subprocess.CREATE_NEW_PROCESS_GROUP
else:
creationflags = 0
subprocess.Popen(
cmd,
cwd=str(install_root),
creationflags=creationflags,
close_fds=True
)
print("GUI launched successfully!")
print("You can close this window.")
except FileNotFoundError as e:
print()
print("=" * 60)
print(" ERROR: File Not Found")
print("=" * 60)
print(f"{e}")
print()
print("The installation may be incomplete or corrupted.")
print("Please try reinstalling WhisperJAV.")
print("=" * 60)
input("Press Enter to exit...")
sys.exit(1)
except Exception as e:
print()
print("=" * 60)
print(" ERROR: Failed to Start WhisperJAV")
print("=" * 60)
print(f"{e}")
print()
print("Please check the installation or report this issue at:")
print("https://github.com/meizhong986/WhisperJAV/issues")
print("=" * 60)
input("Press Enter to exit...")
sys.exit(1)
if __name__ == "__main__":
main()

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@echo off
REM ===============================================================================
REM WhisperJAV v1.7.5 Installer Build Script
REM ===============================================================================
REM
REM This script builds the conda-constructor installer for WhisperJAV v1.7.5
REM
REM Prerequisites:
REM - Conda with constructor package installed:
REM conda install constructor -c conda-forge
REM - All v1.7.5 installer files must be present in installer/ directory
REM
REM Build Process:
REM 1. Check prerequisites (constructor, Python)
REM 2. Validate installer configuration (via validate_installer_v1.7.5.py)
REM 3. Clean previous v1.7.5 builds
REM 4. Run constructor to build installer
REM 5. Verify output and generate build report
REM
REM Output: WhisperJAV-1.7.5-Windows-x86_64.exe
REM Logs: build_log_v1.7.5.txt
REM
SETLOCAL EnableDelayedExpansion
REM ===== Configuration =====
set CONFIG_FILE=construct_v1.7.5.yaml
set VALIDATOR=validate_installer_v1.7.5.py
set BUILD_LOG=build_log_v1.7.5.txt
set VERSION=1.7.5
echo ===============================================================================
echo WhisperJAV v1.7.5 Installer Build
echo ===============================================================================
echo.
REM Initialize log file
echo WhisperJAV v1.7.5 Installer Build Log > "%BUILD_LOG%"
echo Build started: %DATE% %TIME% >> "%BUILD_LOG%"
echo. >> "%BUILD_LOG%"
REM ===== Phase 1: Check Prerequisites =====
echo [Phase 1/6] Checking prerequisites...
echo [Phase 1/6] Checking prerequisites... >> "%BUILD_LOG%"
REM Check if constructor is installed
constructor --version >nul 2>nul
if errorlevel 1 (
echo.
echo ERROR: Constructor not found or not working!
echo ERROR: Constructor not found >> "%BUILD_LOG%"
echo.
echo Please install constructor:
echo conda install constructor -c conda-forge
echo.
echo If constructor is installed:
echo 1. Activate your conda environment: conda activate base
echo 2. Ensure conda is in your PATH
echo 3. Try running: constructor --version
echo.
pause
exit /b 1
)
for /f "tokens=*" %%a in ('constructor --version 2^>^&1') do set CONS_VER=%%a
echo - Constructor: %CONS_VER%
echo - Constructor: %CONS_VER% >> "%BUILD_LOG%"
REM Check if Python is available
python --version >nul 2>nul
if errorlevel 1 (
echo.
echo ERROR: Python not found!
echo ERROR: Python not found >> "%BUILD_LOG%"
echo Please ensure Python is in your PATH.
pause
exit /b 1
)
for /f "tokens=*" %%a in ('python --version 2^>^&1') do set PY_VER=%%a
echo - Python: %PY_VER%
echo - Python: %PY_VER% >> "%BUILD_LOG%"
REM Check if config file exists
if not exist "%CONFIG_FILE%" (
echo.
echo ERROR: Configuration file not found: %CONFIG_FILE%
echo ERROR: Missing %CONFIG_FILE% >> "%BUILD_LOG%"
echo.
echo Make sure you're running this script from the installer/ directory.
pause
exit /b 1
)
echo - Config file: %CONFIG_FILE% (found)
echo - Config file: %CONFIG_FILE% >> "%BUILD_LOG%"
echo.
REM ===== Phase 2: Verify WhisperJAV Wheel =====
echo [Phase 2/6] Checking for WhisperJAV wheel...
echo [Phase 2/6] Checking wheel... >> "%BUILD_LOG%"
REM Check if wheel already exists (built by build_release.py)
REM Use dir command for reliable wildcard detection
dir /b whisperjav-*.whl >nul 2>nul
if !errorlevel!==0 (
REM Wheel found - get the filename
for /f "delims=" %%f in ('dir /b whisperjav-*.whl 2^>nul') do set WHEEL_FILE=%%f
echo - Found existing wheel: !WHEEL_FILE!
echo - Wheel: !WHEEL_FILE! (pre-built) >> "%BUILD_LOG%"
) else (
echo - No wheel found, building from source...
REM Call parent directory script (uses %~dp0 so works from any location)
call ..\build_whisperjav_wheel.bat
if errorlevel 1 (
echo.
echo ERROR: Failed to build WhisperJAV wheel!
echo ERROR: Wheel build failed >> "%BUILD_LOG%"
echo.
pause
exit /b 1
)
REM Verify wheel now exists
dir /b whisperjav-*.whl >nul 2>nul
if errorlevel 1 (
echo.
echo ERROR: Wheel still not found after build!
echo ERROR: Wheel missing after build >> "%BUILD_LOG%"
echo.
pause
exit /b 1
)
for /f "delims=" %%f in ('dir /b whisperjav-*.whl 2^>nul') do set WHEEL_FILE=%%f
echo - WhisperJAV wheel built: !WHEEL_FILE!
echo - Wheel: !WHEEL_FILE! (local build) >> "%BUILD_LOG%"
)
echo.
REM ===== Phase 3: Validate Configuration =====
REM NOTE: PyInstaller build removed - WhisperJAV-GUI.exe is created by post_install
REM from Scripts/whisperjav-gui.exe (pip entry_points)
echo [Phase 3/6] Validating installer configuration...
echo [Phase 3/6] Validating configuration... >> "%BUILD_LOG%"
if exist "%VALIDATOR%" (
python "%VALIDATOR%"
if errorlevel 1 (
echo.
echo ERROR: Configuration validation failed!
echo ERROR: Validation failed >> "%BUILD_LOG%"
echo Check the error messages above and fix any issues.
pause
exit /b 1
)
echo - All validation checks passed
echo - Validation: PASSED >> "%BUILD_LOG%"
) else (
echo - Validation script not found, skipping validation
echo - Validation: SKIPPED (validator not found) >> "%BUILD_LOG%"
)
echo.
REM ===== Phase 4: Clean Previous Builds =====
echo [Phase 4/6] Cleaning previous v1.7.5 builds...
echo [Phase 4/6] Cleaning previous builds... >> "%BUILD_LOG%"
REM Only clean v1.7.5 builds, preserve other versions
if exist build (
echo - Removing build/ directory...
rmdir /s /q build
echo - Cleaned: build/ >> "%BUILD_LOG%"
)
if exist _build (
echo - Removing _build/ directory...
rmdir /s /q _build
echo - Cleaned: _build/ >> "%BUILD_LOG%"
)
if exist WhisperJAV-%VERSION%-Windows-x86_64.exe (
echo - Removing old installer: WhisperJAV-%VERSION%-Windows-x86_64.exe
del WhisperJAV-%VERSION%-Windows-x86_64.exe
echo - Cleaned: WhisperJAV-%VERSION%-Windows-x86_64.exe >> "%BUILD_LOG%"
)
echo - Cleanup complete
echo.
REM ===== Phase 5: Build Installer =====
echo [Phase 5/6] Building installer with constructor...
echo [Phase 5/6] Building installer... >> "%BUILD_LOG%"
echo.
echo This will take 2-5 minutes. Please wait...
echo.
REM Build with verbose output
constructor . --config "%CONFIG_FILE%" -v
if errorlevel 1 (
echo.
echo ===============================================================================
echo BUILD FAILED!
echo ===============================================================================
echo.
echo ERROR: Constructor build failed! >> "%BUILD_LOG%"
echo Check the error messages above for details.
echo.
echo Common issues:
echo - Missing dependencies in construct_v1.7.5.yaml
echo - Network issues downloading packages
echo - Insufficient disk space
echo - Corrupted conda package cache
echo.
echo To troubleshoot:
echo 1. Check %BUILD_LOG% for details
echo 2. Try: conda clean --all
echo 3. Verify all files in construct_v1.7.5.yaml extra_files exist
echo.
pause
exit /b 1
)
echo.
REM ===== Phase 6: Verify Output and Generate Report =====
echo [Phase 6/6] Verifying build output...
echo [Phase 6/6] Verifying output... >> "%BUILD_LOG%"
set INSTALLER_NAME=WhisperJAV-%VERSION%-Windows-x86_64.exe
if not exist "%INSTALLER_NAME%" (
echo.
echo ERROR: Installer file was not created!
echo ERROR: Output file missing: %INSTALLER_NAME% >> "%BUILD_LOG%"
echo.
echo Expected: %INSTALLER_NAME%
echo.
echo This suggests the build failed silently.
echo Check constructor output above for errors.
pause
exit /b 1
)
REM Get file size
for %%A in ("%INSTALLER_NAME%") do set FILESIZE=%%~zA
set /a FILESIZE_MB=!FILESIZE! / 1048576
echo - Installer created: %INSTALLER_NAME%
echo - File size: !FILESIZE_MB! MB
echo.
REM Log success
echo. >> "%BUILD_LOG%"
echo =============================================================================== >> "%BUILD_LOG%"
echo BUILD SUCCESSFUL >> "%BUILD_LOG%"
echo =============================================================================== >> "%BUILD_LOG%"
echo. >> "%BUILD_LOG%"
echo Output file: %INSTALLER_NAME% >> "%BUILD_LOG%"
echo File size: !FILESIZE_MB! MB >> "%BUILD_LOG%"
echo Build completed: %DATE% %TIME% >> "%BUILD_LOG%"
echo. >> "%BUILD_LOG%"
REM ===== Build Summary =====
echo ===============================================================================
echo BUILD COMPLETED SUCCESSFULLY!
echo ===============================================================================
echo.
echo Installer Details:
echo - File: %INSTALLER_NAME%
echo - Size: !FILESIZE_MB! MB
echo - Version: %VERSION%
echo - Build log: %BUILD_LOG%
echo.
echo Next Steps:
echo 1. Test the installer on a clean Windows VM
echo 2. Verify all features work correctly
echo 3. Check installation logs (install_log_v1.7.5.txt)
echo 4. Distribute to users
echo.
echo To test installer:
echo - Run %INSTALLER_NAME%
echo - Follow installation prompts
echo - Launch GUI from desktop shortcut
echo - Process a test video
echo.
echo ===============================================================================
pause
exit /b 0

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# -*- mode: python ; coding: utf-8 -*-
a = Analysis(
['..\\WhisperJAV_Launcher_v1.7.5.py'],
pathex=[],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
noarchive=False,
optimize=0,
)
pyz = PYZ(a.pure)
exe = EXE(
pyz,
a.scripts,
a.binaries,
a.datas,
[],
name='WhisperJAV',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
icon=['whisperjav_icon.ico'],
)

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(['C:\\BIN\\git\\WhisperJav_V1_Minami_Edition\\installer\\generated\\WhisperJAV_Launcher_v1.7.5.py'],
['C:\\BIN\\git\\WhisperJav_V1_Minami_Edition\\installer\\generated'],
[],
[('C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\site-packages\\numpy\\_pyinstaller',
0),
('C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\site-packages\\webview\\__pyinstaller',
0),
('C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\site-packages\\_pyinstaller_hooks_contrib\\stdhooks',
-1000),
('C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\site-packages\\_pyinstaller_hooks_contrib',
-1000)],
{},
[],
[],
False,
{},
0,
[],
[],
'3.11.14 | packaged by conda-forge | (main, Oct 22 2025, 22:35:28) [MSC '
'v.1944 64 bit (AMD64)]',
[('pyi_rth_inspect',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\site-packages\\PyInstaller\\hooks\\rthooks\\pyi_rth_inspect.py',
'PYSOURCE'),
('WhisperJAV_Launcher_v1.7.5',
'C:\\BIN\\git\\WhisperJav_V1_Minami_Edition\\installer\\generated\\WhisperJAV_Launcher_v1.7.5.py',
'PYSOURCE')],
[('zipfile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\zipfile.py',
'PYMODULE'),
('argparse',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\argparse.py',
'PYMODULE'),
('textwrap',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\textwrap.py',
'PYMODULE'),
('copy', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\copy.py', 'PYMODULE'),
('gettext',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\gettext.py',
'PYMODULE'),
('py_compile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\py_compile.py',
'PYMODULE'),
('importlib.machinery',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\machinery.py',
'PYMODULE'),
('importlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\__init__.py',
'PYMODULE'),
('importlib._bootstrap',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_bootstrap.py',
'PYMODULE'),
('importlib._bootstrap_external',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_bootstrap_external.py',
'PYMODULE'),
('importlib.metadata',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\__init__.py',
'PYMODULE'),
('typing', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\typing.py', 'PYMODULE'),
('importlib.abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\abc.py',
'PYMODULE'),
('importlib.resources.abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\abc.py',
'PYMODULE'),
('importlib.resources',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\__init__.py',
'PYMODULE'),
('importlib.resources._legacy',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_legacy.py',
'PYMODULE'),
('importlib.resources._common',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_common.py',
'PYMODULE'),
('importlib.resources._adapters',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_adapters.py',
'PYMODULE'),
('tempfile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\tempfile.py',
'PYMODULE'),
('random', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\random.py', 'PYMODULE'),
('statistics',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\statistics.py',
'PYMODULE'),
('decimal',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\decimal.py',
'PYMODULE'),
('_pydecimal',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_pydecimal.py',
'PYMODULE'),
('contextvars',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\contextvars.py',
'PYMODULE'),
('fractions',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\fractions.py',
'PYMODULE'),
('numbers',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\numbers.py',
'PYMODULE'),
('hashlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\hashlib.py',
'PYMODULE'),
('logging',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\logging\\__init__.py',
'PYMODULE'),
('pickle', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\pickle.py', 'PYMODULE'),
('pprint', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\pprint.py', 'PYMODULE'),
('dataclasses',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\dataclasses.py',
'PYMODULE'),
('_compat_pickle',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_compat_pickle.py',
'PYMODULE'),
('string', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\string.py', 'PYMODULE'),
('bisect', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\bisect.py', 'PYMODULE'),
('importlib._abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_abc.py',
'PYMODULE'),
('importlib.metadata._itertools',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_itertools.py',
'PYMODULE'),
('importlib.metadata._functools',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_functools.py',
'PYMODULE'),
('importlib.metadata._collections',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_collections.py',
'PYMODULE'),
('importlib.metadata._meta',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_meta.py',
'PYMODULE'),
('importlib.metadata._adapters',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_adapters.py',
'PYMODULE'),
('importlib.metadata._text',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_text.py',
'PYMODULE'),
('email.message',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\message.py',
'PYMODULE'),
('email.policy',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\policy.py',
'PYMODULE'),
('email.contentmanager',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\contentmanager.py',
'PYMODULE'),
('email.quoprimime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\quoprimime.py',
'PYMODULE'),
('email.headerregistry',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\headerregistry.py',
'PYMODULE'),
('email._header_value_parser',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_header_value_parser.py',
'PYMODULE'),
('urllib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\urllib\\__init__.py',
'PYMODULE'),
('email.iterators',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\iterators.py',
'PYMODULE'),
('email.generator',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\generator.py',
'PYMODULE'),
('email._encoded_words',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_encoded_words.py',
'PYMODULE'),
('base64', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\base64.py', 'PYMODULE'),
('getopt', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\getopt.py', 'PYMODULE'),
('email.charset',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\charset.py',
'PYMODULE'),
('email.encoders',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\encoders.py',
'PYMODULE'),
('email.base64mime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\base64mime.py',
'PYMODULE'),
('email._policybase',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_policybase.py',
'PYMODULE'),
('email.header',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\header.py',
'PYMODULE'),
('email.errors',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\errors.py',
'PYMODULE'),
('email.utils',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\utils.py',
'PYMODULE'),
('email._parseaddr',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_parseaddr.py',
'PYMODULE'),
('calendar',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\calendar.py',
'PYMODULE'),
('urllib.parse',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\urllib\\parse.py',
'PYMODULE'),
('ipaddress',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\ipaddress.py',
'PYMODULE'),
('datetime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\datetime.py',
'PYMODULE'),
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'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-fibers-l1-1-0.dll',
'BINARY'),
('api-ms-win-core-processthreads-l1-1-0.dll',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-processthreads-l1-1-0.dll',
'BINARY'),
('api-ms-win-core-processthreads-l1-1-1.dll',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-processthreads-l1-1-1.dll',
'BINARY'),
('api-ms-win-core-debug-l1-1-0.dll',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-debug-l1-1-0.dll',
'BINARY'),
('api-ms-win-core-file-l2-1-0.dll',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-file-l2-1-0.dll',
'BINARY'),
('api-ms-win-core-rtlsupport-l1-1-0.dll',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\api-ms-win-core-rtlsupport-l1-1-0.dll',
'BINARY'),
('base_library.zip',
'C:\\BIN\\git\\WhisperJav_V1_Minami_Edition\\installer\\generated\\build_pyinstaller\\WhisperJAV\\base_library.zip',
'DATA')],
'python311.dll',
False,
False,
False,
[],
None,
None,
None)

View File

@ -0,0 +1,268 @@
('C:\\BIN\\git\\WhisperJav_V1_Minami_Edition\\installer\\generated\\build_pyinstaller\\WhisperJAV\\PYZ-00.pyz',
[('_compat_pickle',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_compat_pickle.py',
'PYMODULE'),
('_compression',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_compression.py',
'PYMODULE'),
('_py_abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_py_abc.py',
'PYMODULE'),
('_pydecimal',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_pydecimal.py',
'PYMODULE'),
('_strptime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_strptime.py',
'PYMODULE'),
('_threading_local',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\_threading_local.py',
'PYMODULE'),
('argparse',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\argparse.py',
'PYMODULE'),
('ast', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\ast.py', 'PYMODULE'),
('base64', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\base64.py', 'PYMODULE'),
('bisect', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\bisect.py', 'PYMODULE'),
('bz2', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\bz2.py', 'PYMODULE'),
('calendar',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\calendar.py',
'PYMODULE'),
('contextlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\contextlib.py',
'PYMODULE'),
('contextvars',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\contextvars.py',
'PYMODULE'),
('copy', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\copy.py', 'PYMODULE'),
('csv', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\csv.py', 'PYMODULE'),
('dataclasses',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\dataclasses.py',
'PYMODULE'),
('datetime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\datetime.py',
'PYMODULE'),
('decimal',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\decimal.py',
'PYMODULE'),
('dis', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\dis.py', 'PYMODULE'),
('email',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\__init__.py',
'PYMODULE'),
('email._encoded_words',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_encoded_words.py',
'PYMODULE'),
('email._header_value_parser',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_header_value_parser.py',
'PYMODULE'),
('email._parseaddr',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_parseaddr.py',
'PYMODULE'),
('email._policybase',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\_policybase.py',
'PYMODULE'),
('email.base64mime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\base64mime.py',
'PYMODULE'),
('email.charset',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\charset.py',
'PYMODULE'),
('email.contentmanager',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\contentmanager.py',
'PYMODULE'),
('email.encoders',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\encoders.py',
'PYMODULE'),
('email.errors',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\errors.py',
'PYMODULE'),
('email.feedparser',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\feedparser.py',
'PYMODULE'),
('email.generator',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\generator.py',
'PYMODULE'),
('email.header',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\header.py',
'PYMODULE'),
('email.headerregistry',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\headerregistry.py',
'PYMODULE'),
('email.iterators',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\iterators.py',
'PYMODULE'),
('email.message',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\message.py',
'PYMODULE'),
('email.parser',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\parser.py',
'PYMODULE'),
('email.policy',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\policy.py',
'PYMODULE'),
('email.quoprimime',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\quoprimime.py',
'PYMODULE'),
('email.utils',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\email\\utils.py',
'PYMODULE'),
('fnmatch',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\fnmatch.py',
'PYMODULE'),
('fractions',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\fractions.py',
'PYMODULE'),
('getopt', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\getopt.py', 'PYMODULE'),
('gettext',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\gettext.py',
'PYMODULE'),
('gzip', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\gzip.py', 'PYMODULE'),
('hashlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\hashlib.py',
'PYMODULE'),
('importlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\__init__.py',
'PYMODULE'),
('importlib._abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_abc.py',
'PYMODULE'),
('importlib._bootstrap',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_bootstrap.py',
'PYMODULE'),
('importlib._bootstrap_external',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\_bootstrap_external.py',
'PYMODULE'),
('importlib.abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\abc.py',
'PYMODULE'),
('importlib.machinery',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\machinery.py',
'PYMODULE'),
('importlib.metadata',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\__init__.py',
'PYMODULE'),
('importlib.metadata._adapters',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_adapters.py',
'PYMODULE'),
('importlib.metadata._collections',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_collections.py',
'PYMODULE'),
('importlib.metadata._functools',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_functools.py',
'PYMODULE'),
('importlib.metadata._itertools',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_itertools.py',
'PYMODULE'),
('importlib.metadata._meta',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_meta.py',
'PYMODULE'),
('importlib.metadata._text',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\metadata\\_text.py',
'PYMODULE'),
('importlib.readers',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\readers.py',
'PYMODULE'),
('importlib.resources',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\__init__.py',
'PYMODULE'),
('importlib.resources._adapters',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_adapters.py',
'PYMODULE'),
('importlib.resources._common',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_common.py',
'PYMODULE'),
('importlib.resources._itertools',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_itertools.py',
'PYMODULE'),
('importlib.resources._legacy',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\_legacy.py',
'PYMODULE'),
('importlib.resources.abc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\abc.py',
'PYMODULE'),
('importlib.resources.readers',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\resources\\readers.py',
'PYMODULE'),
('importlib.util',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\importlib\\util.py',
'PYMODULE'),
('inspect',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\inspect.py',
'PYMODULE'),
('ipaddress',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\ipaddress.py',
'PYMODULE'),
('json',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\json\\__init__.py',
'PYMODULE'),
('json.decoder',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\json\\decoder.py',
'PYMODULE'),
('json.encoder',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\json\\encoder.py',
'PYMODULE'),
('json.scanner',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\json\\scanner.py',
'PYMODULE'),
('logging',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\logging\\__init__.py',
'PYMODULE'),
('lzma', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\lzma.py', 'PYMODULE'),
('numbers',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\numbers.py',
'PYMODULE'),
('opcode', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\opcode.py', 'PYMODULE'),
('pathlib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\pathlib.py',
'PYMODULE'),
('pickle', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\pickle.py', 'PYMODULE'),
('pprint', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\pprint.py', 'PYMODULE'),
('py_compile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\py_compile.py',
'PYMODULE'),
('quopri', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\quopri.py', 'PYMODULE'),
('random', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\random.py', 'PYMODULE'),
('selectors',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\selectors.py',
'PYMODULE'),
('shutil', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\shutil.py', 'PYMODULE'),
('signal', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\signal.py', 'PYMODULE'),
('socket', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\socket.py', 'PYMODULE'),
('statistics',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\statistics.py',
'PYMODULE'),
('string', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\string.py', 'PYMODULE'),
('stringprep',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\stringprep.py',
'PYMODULE'),
('subprocess',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\subprocess.py',
'PYMODULE'),
('tarfile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\tarfile.py',
'PYMODULE'),
('tempfile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\tempfile.py',
'PYMODULE'),
('textwrap',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\textwrap.py',
'PYMODULE'),
('threading',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\threading.py',
'PYMODULE'),
('token', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\token.py', 'PYMODULE'),
('tokenize',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\tokenize.py',
'PYMODULE'),
('tracemalloc',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\tracemalloc.py',
'PYMODULE'),
('typing', 'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\typing.py', 'PYMODULE'),
('urllib',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\urllib\\__init__.py',
'PYMODULE'),
('urllib.parse',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\urllib\\parse.py',
'PYMODULE'),
('zipfile',
'C:\\Users\\MK\\anaconda3\\envs\\WJ\\Lib\\zipfile.py',
'PYMODULE')])

View File

@ -0,0 +1,26 @@
This file lists modules PyInstaller was not able to find. This does not
necessarily mean this module is required for running your program. Python and
Python 3rd-party packages include a lot of conditional or optional modules. For
example the module 'ntpath' only exists on Windows, whereas the module
'posixpath' only exists on Posix systems.
Types if import:
* top-level: imported at the top-level - look at these first
* conditional: imported within an if-statement
* delayed: imported within a function
* optional: imported within a try-except-statement
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
tracking down the missing module yourself. Thanks!
missing module named 'org.python' - imported by copy (optional)
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional)
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional)
missing module named org - imported by pickle (optional)
missing module named posix - imported by os (conditional, optional), posixpath (optional), shutil (conditional), importlib._bootstrap_external (conditional)
missing module named resource - imported by posix (top-level)
missing module named pwd - imported by posixpath (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional)
missing module named grp - imported by shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional)
missing module named _posixsubprocess - imported by subprocess (conditional)
missing module named fcntl - imported by subprocess (optional)

File diff suppressed because it is too large Load Diff

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@ -0,0 +1,109 @@
# WhisperJAV v1.7.5 Dependency Constraints
# ==========================================
#
# This file pins critical dependency versions to prevent conflicts caused by
# speech enhancement packages (modelscope, clearvoice, bs-roformer, zipenhancer).
#
# These packages have aggressive dependency specifications that can break:
# - numpy (modelscope wants <2.0, but we need >=2.0 for librosa 0.11+)
# - datasets (modelscope breaks with datasets 4.x)
# - huggingface-hub version compatibility
# - librosa audio processing
#
# Usage: pip install -c constraints_v1.7.5.txt -r requirements_v1.7.5.txt
#
# IMPORTANT: This file is used during installation to prevent pip from
# downgrading critical packages when installing speech enhancement backends.
# =============================================================================
# Core Scientific Stack (STRICT - Do NOT allow downgrades)
# =============================================================================
# numpy 2.x is required for librosa 0.11+ compatibility
# modelscope/zipenhancer may try to install numpy<2.0 - BLOCK THIS
numpy>=2.0
# scipy 1.10.1+ required for audio processing compatibility
scipy>=1.10.1
# librosa 0.11+ supports numpy 2.x
librosa>=0.11.0
# =============================================================================
# ML Ecosystem Stability (CRITICAL for modelscope compatibility)
# =============================================================================
# datasets 4.x breaks modelscope - MUST cap at <4.0
datasets>=2.14.0,<4.0
# pydantic 3.x has breaking API changes
pydantic>=2.0,<3.0
# HuggingFace ecosystem version alignment
transformers>=4.40.0
accelerate>=0.26.0
huggingface-hub>=0.25.0
# fsspec for filesystem operations (prevent unnecessary downgrade)
fsspec>=2025.3.0
# =============================================================================
# System Utilities
# =============================================================================
# psutil for process management (clean subprocess termination)
psutil>=5.9.0
# pywebview for GUI framework
pywebview>=5.0.0
# =============================================================================
# Audio/Video Processing
# =============================================================================
# Faster Whisper for efficient transcription
faster-whisper>=1.1.0
# silero-vad for voice activity detection
silero-vad>=6.0
# PySubtrans for subtitle translation
PySubtrans>=0.7.0
# OpenAI API for translation providers
openai>=1.35.0
# Google Gemini API for translation providers
google-genai>=1.39.0
# scikit-learn for semantic scene detection
scikit-learn>=1.3.0
# ONNX runtime for ZipEnhancer inference
onnxruntime>=1.16.0
# modelscope for ZipEnhancer speech enhancement
modelscope>=1.20
# =============================================================================
# Package Conflict Notes
# =============================================================================
#
# Known conflicts and mitigations:
#
# 1. modelscope + numpy:
# - modelscope may request numpy<2.0
# - We REQUIRE numpy>=2.0 for librosa 0.11+
# - Solution: Install numpy first, then modelscope with --no-deps flag
#
# 2. modelscope + datasets:
# - modelscope breaks with datasets>=4.0
# - Solution: Cap datasets<4.0 in constraints
#
# 3. clearvoice + numpy:
# - Original clearvoice requires numpy<2.0
# - Solution: Use forked version with numpy 2.x support
#
# 4. bs-roformer-infer:
# - Generally compatible but may pull old torchaudio
# - Solution: Install PyTorch/torchaudio first
#
# 5. zipenhancer (via modelscope):
# - Part of modelscope ecosystem
# - Solution: Install modelscope with constraints

View File

@ -0,0 +1,60 @@
# Conda-Constructor Configuration for WhisperJAV v1.7.5
# =========================================================
#
# This creates a Windows installer that:
# - Installs minimal conda environment to %LOCALAPPDATA%\WhisperJAV
# - Downloads PyTorch and dependencies during post-install
# - Defers AI model downloads to first application run
# - Checks for WebView2 and provides download link if missing
#
# Build command: constructor . --config construct_v1.7.5.yaml
# Output: WhisperJAV-1.7.5-Windows-x86_64.exe
name: WhisperJAV
version: 1.7.5
# Conda channels for package resolution
channels:
- conda-forge
- defaults
# Minimal base environment (heavy dependencies in post-install)
specs:
- python=3.10.18 # Pinned for stability (tested version)
- pip # Package installer
- git # Required for GitHub installs
- ffmpeg>=6,<8 # Audio/video processing (v6 or v7 required, v8+ incompatible)
- menuinst # Desktop/Start Menu shortcut creation
# Install in dependency order for reliability
install_in_dependency_order: true
# Default installation path (user can override during install)
default_prefix: '%LOCALAPPDATA%\WhisperJAV'
# Post-installation script (runs after conda env setup)
post_install: post_install_v1.7.5.bat
# Files to include in installer package
extra_files:
- post_install_v1.7.5.bat
- post_install_v1.7.5.py
- requirements_v1.7.5.txt
- constraints_v1.7.5.txt # Version pinning for problematic packages
- WhisperJAV_Launcher_v1.7.5.py # Script launcher (fallback if frozen exe missing)
# NOTE: WhisperJAV-GUI.exe is created by post_install from Scripts/whisperjav-gui.exe
# No need to include a frozen launcher - pip creates the entry point executable
- README_INSTALLER_v1.7.5.txt
- LICENSE.txt
- whisperjav_icon.ico
- whisperjav-1.7.5-py3-none-any.whl
# Installer metadata
license_file: LICENSE.txt
welcome_image: whisperjav_icon.ico # Optional: 164x314 PNG or ICO
icon_image: whisperjav_icon.ico # Installer executable icon
nsis_template: custom_template_v1.7.5.nsi.tmpl # Custom NSIS template with CreateShortcut
# Installation options
# keep_pkgs: false # Delete package cache after install (saves space)
# attempt_hardlinks: true # Use hardlinks to save disk space

View File

@ -0,0 +1,148 @@
@echo off
REM ========================================
REM WhisperJAV v1.7.5 Desktop Shortcut Creator
REM ========================================
REM
REM This script creates a Windows desktop shortcut that:
REM - Launches pythonw.exe (no console window)
REM - Runs whisperjav.webview_gui.main module
REM - Uses the WhisperJAV icon
REM - Sets working directory to installation root
REM
REM Uses PowerShell to create .lnk file via WScript.Shell COM object
REM
echo Creating WhisperJAV v1.7.5 desktop shortcut...
REM Get the directory where this script is located (install root)
set SCRIPT_DIR=%~dp0
REM Shortcut configuration
set SHORTCUT_NAME=WhisperJAV v1.7.5.lnk
set TARGET_EXE=%SCRIPT_DIR%WhisperJAV-GUI.exe
set PYTHONW=%SCRIPT_DIR%pythonw.exe
set TARGET_ARGS=-m whisperjav.webview_gui.main
set ICON=%SCRIPT_DIR%whisperjav_icon.ico
REM Verify WhisperJAV-GUI.exe exists (preferred target)
if exist "%TARGET_EXE%" (
echo Target: WhisperJAV-GUI.exe (standalone launcher)
set USE_LAUNCHER_EXE=1
) else (
echo WARNING: WhisperJAV-GUI.exe not found, using pythonw fallback
set USE_LAUNCHER_EXE=0
REM Verify pythonw.exe exists as fallback
if not exist "%PYTHONW%" (
echo WARNING: pythonw.exe not found at: %PYTHONW%
echo Trying python.exe as fallback...
set PYTHONW=%SCRIPT_DIR%python.exe
)
if not exist "%PYTHONW%" (
echo ERROR: Neither WhisperJAV-GUI.exe nor python.exe found!
echo Cannot create shortcut.
exit /b 1
)
)
REM Verify icon exists
if not exist "%ICON%" (
echo WARNING: Icon file not found at: %ICON%
echo Shortcut will be created without custom icon.
set ICON=
)
REM Create shortcut using PowerShell or VBScript fallback
echo Icon: %ICON%
echo Working Directory: %SCRIPT_DIR%
echo.
REM Try PowerShell first (modern Windows systems)
where powershell >nul 2>nul
if %ERRORLEVEL% EQU 0 (
echo Using PowerShell to create shortcut...
if "%USE_LAUNCHER_EXE%"=="1" (
REM Preferred: Point to WhisperJAV-GUI.exe
echo Shortcut target: %TARGET_EXE%
echo.
powershell -NoProfile -ExecutionPolicy Bypass -Command "$WshShell = New-Object -ComObject WScript.Shell; $Desktop = [Environment]::GetFolderPath('Desktop'); $ShortcutPath = Join-Path $Desktop '%SHORTCUT_NAME%'; $Shortcut = $WshShell.CreateShortcut($ShortcutPath); $Shortcut.TargetPath = '%TARGET_EXE%'; $Shortcut.WorkingDirectory = '%SCRIPT_DIR%'; if ('%ICON%' -ne '') { $Shortcut.IconLocation = '%ICON%' }; $Shortcut.Description = 'WhisperJAV v1.7.5 Japanese AV Subtitle Generator'; $Shortcut.Save()"
) else (
REM Fallback: Point to pythonw.exe with module arguments
echo Shortcut target: %PYTHONW% %TARGET_ARGS%
echo.
powershell -NoProfile -ExecutionPolicy Bypass -Command "$WshShell = New-Object -ComObject WScript.Shell; $Desktop = [Environment]::GetFolderPath('Desktop'); $ShortcutPath = Join-Path $Desktop '%SHORTCUT_NAME%'; $Shortcut = $WshShell.CreateShortcut($ShortcutPath); $Shortcut.TargetPath = '%PYTHONW%'; $Shortcut.Arguments = '%TARGET_ARGS%'; $Shortcut.WorkingDirectory = '%SCRIPT_DIR%'; if ('%ICON%' -ne '') { $Shortcut.IconLocation = '%ICON%' }; $Shortcut.Description = 'WhisperJAV v1.7.5 Japanese AV Subtitle Generator'; $Shortcut.Save()"
)
) else (
REM PowerShell not available - use VBScript fallback (works on all Windows)
echo PowerShell not found, using VBScript fallback...
REM Create temporary VBScript
set VBS_SCRIPT=%TEMP%\create_whisperjav_shortcut.vbs
if "%USE_LAUNCHER_EXE%"=="1" (
REM Preferred: Point to WhisperJAV-GUI.exe
echo Shortcut target: %TARGET_EXE%
echo.
(
echo Set WshShell = CreateObject^("WScript.Shell"^)
echo DesktopPath = WshShell.SpecialFolders^("Desktop"^)
echo Set Shortcut = WshShell.CreateShortcut^(DesktopPath ^& "\%SHORTCUT_NAME%"^)
echo Shortcut.TargetPath = "%TARGET_EXE%"
echo Shortcut.WorkingDirectory = "%SCRIPT_DIR%"
echo Shortcut.Description = "WhisperJAV v1.7.5 - Japanese AV Subtitle Generator"
) > "%VBS_SCRIPT%"
REM Add icon line if icon exists
if not "%ICON%"=="" (
echo Shortcut.IconLocation = "%ICON%" >> "%VBS_SCRIPT%"
)
REM Complete VBScript
echo Shortcut.Save >> "%VBS_SCRIPT%"
) else (
REM Fallback: Point to pythonw.exe with module arguments
echo Shortcut target: %PYTHONW% %TARGET_ARGS%
echo.
(
echo Set WshShell = CreateObject^("WScript.Shell"^)
echo DesktopPath = WshShell.SpecialFolders^("Desktop"^)
echo Set Shortcut = WshShell.CreateShortcut^(DesktopPath ^& "\%SHORTCUT_NAME%"^)
echo Shortcut.TargetPath = "%PYTHONW%"
echo Shortcut.Arguments = "%TARGET_ARGS%"
echo Shortcut.WorkingDirectory = "%SCRIPT_DIR%"
echo Shortcut.Description = "WhisperJAV v1.7.5 - Japanese AV Subtitle Generator"
) > "%VBS_SCRIPT%"
REM Add icon line if icon exists
if not "%ICON%"=="" (
echo Shortcut.IconLocation = "%ICON%" >> "%VBS_SCRIPT%"
)
REM Complete VBScript
echo Shortcut.Save >> "%VBS_SCRIPT%"
)
REM Execute VBScript
cscript //NoLogo "%VBS_SCRIPT%"
REM Cleanup
del "%VBS_SCRIPT%" >nul 2>&1
)
REM Verify shortcut was created
set DESKTOP_PATH=%USERPROFILE%\Desktop\%SHORTCUT_NAME%
if exist "%DESKTOP_PATH%" (
echo.
echo ========================================
echo Desktop shortcut created successfully!
echo ========================================
echo Location: %DESKTOP_PATH%
echo.
exit /b 0
) else (
echo.
echo ========================================
echo WARNING: Failed to create desktop shortcut
echo ========================================
echo You can manually create a shortcut to:
echo %PYTHONW% %TARGET_ARGS%
echo.
exit /b 1
)

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@echo off
REM ========================================
REM WhisperJAV v1.7.5 Post-Install Wrapper
REM ========================================
REM
REM This batch file is called by conda-constructor after the base environment
REM is created. Constructor places this script in pkgs/ and extra_files in the
REM parent directory (installation root).
REM
REM This script launches the Python post-install script that handles:
REM - Preflight checks (disk space, network, WebView2)
REM - PyTorch installation (CUDA or CPU)
REM - Python dependencies installation
REM - WhisperJAV application installation
REM - Desktop shortcut creation
REM
ECHO ========================================
ECHO WhisperJAV v1.7.5 Post-Install
ECHO ========================================
ECHO.
REM Verify Python executable exists in parent directory
if not exist "%~dp0..\python.exe" (
ECHO ERROR: Cannot find python.exe
ECHO Expected location: %~dp0..\python.exe
ECHO Installation may be corrupted.
ECHO.
pause
exit /b 1
)
REM Verify Python post-install script exists in parent directory
if not exist "%~dp0..\post_install_v1.7.5.py" (
ECHO ERROR: Cannot find post_install_v1.7.5.py
ECHO Expected location: %~dp0..\post_install_v1.7.5.py
ECHO Installation files may be missing.
ECHO.
pause
exit /b 1
)
ECHO Using Python: "%~dp0..\python.exe"
ECHO Script location: "%~dp0..\post_install_v1.7.5.py"
ECHO.
REM Run the Python post-install script
REM Both python.exe and the .py script are in the parent directory (../)
"%~dp0..\python.exe" "%~dp0..\post_install_v1.7.5.py"
REM Check exit code
if %errorlevel% neq 0 (
ECHO.
ECHO ========================================
ECHO ERROR: Post-install script failed!
ECHO ========================================
ECHO Exit code: %errorlevel%
ECHO Check install_log_v1.7.5.txt for details
ECHO.
pause
exit /b %errorlevel%
)
ECHO.
ECHO ========================================
ECHO Post-Install completed successfully!
ECHO ========================================
ECHO.
exit /b 0

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# WhisperJAV v1.7.5 Requirements
# ================================
#
# This file lists all Python dependencies for WhisperJAV.
# PyTorch is installed separately in post_install_v1.7.5.py
# with CUDA version detection.
#
# IMPORTANT: Use with constraints file to prevent version conflicts:
# pip install -c constraints_v1.7.5.txt -r requirements_v1.7.5.txt
#
# Installation is performed in phases to ensure dependency compatibility.
# ============================================================================
# PHASE 1: Core Scientific Stack (Install FIRST)
# ============================================================================
# These packages MUST be installed first to establish version constraints
# before any packages that might try to downgrade them.
numpy>=2.0 # NumPy 2.x (required for librosa 0.11+)
scipy>=1.10.1 # Signal processing
librosa>=0.11.0 # Audio analysis (NumPy 2.x compatible)
# ============================================================================
# PHASE 2: Core Whisper Dependencies
# ============================================================================
# Git-based installs from main branches
openai-whisper @ git+https://github.com/openai/whisper@main
stable-ts @ git+https://github.com/meizhong986/stable-ts-fix-setup.git@main
# Whisper variants
faster-whisper>=1.1.0
# ============================================================================
# PHASE 3: Audio and Signal Processing
# ============================================================================
ffmpeg-python @ git+https://github.com/kkroening/ffmpeg-python.git # PyPI tarball fails
soundfile # Audio file I/O
auditok # Voice Activity Detection (VAD)
silero-vad>=6.0 # Silero VAD for scene detection
ten-vad # TEN Framework VAD for speech segmentation
pyloudnorm # Audio normalization
pydub # Audio manipulation
# ============================================================================
# PHASE 4: Speech Enhancement Backends (Required Functionality)
# ============================================================================
# CRITICAL: These packages have aggressive dependencies that can conflict.
# Install with constraints.txt to prevent numpy/datasets downgrades.
# ModelScope ecosystem (ZipEnhancer - lightweight SOTA)
modelscope>=1.20
addict # ModelScope dependency (dict with attribute access)
datasets>=2.14.0,<4.0 # CRITICAL: 4.x breaks modelscope
simplejson # ModelScope dependency (JSON parsing)
sortedcontainers # ModelScope dependency (sorted collections)
packaging # ModelScope dependency (version parsing)
# ClearVoice denoising (48kHz) - NumPy 2.x compatible fork
clearvoice @ git+https://github.com/meizhong986/ClearerVoice-Studio.git#subdirectory=clearvoice
# BS-RoFormer vocal isolation (44.1kHz)
bs-roformer-infer
# ONNX runtime for ZipEnhancer ONNX mode
onnxruntime>=1.16.0
# ============================================================================
# PHASE 5: GUI Framework (PyWebView)
# ============================================================================
pywebview>=5.0.0 # Modern web-based GUI framework
pythonnet>=3.0 # Required for WebView2 backend on Windows
pywin32>=305; platform_system=="Windows" # Windows COM support for shortcuts
# ============================================================================
# PHASE 6: HuggingFace Transformers Pipeline
# ============================================================================
huggingface-hub>=0.25.0 # Hugging Face cache management (faster-whisper models)
transformers>=4.40.0 # HuggingFace Transformers for ASR pipeline
accelerate>=0.26.0 # Efficient model loading for Transformers
hf_xet # Faster HuggingFace downloads (Xet Storage)
# ============================================================================
# PHASE 7: Subtitle Processing and Translation
# ============================================================================
pysrt # SRT file parsing
srt # SRT utilities
PySubtrans>=0.7.0 # AI-powered subtitle translation
openai>=1.35.0 # Required for GPT provider in PySubtrans
google-genai>=1.39.0 # Required for Gemini provider in PySubtrans
# ============================================================================
# PHASE 8: Utilities and Configuration
# ============================================================================
tqdm # Progress bars
aiofiles # Async file I/O
jsonschema # Config validation
Pillow # Image processing (GUI)
colorama # Colored console output
requests # HTTP requests
regex # Advanced regular expressions
psutil>=5.9.0 # Process management (clean subprocess cleanup)
# Configuration system
pydantic>=2.0,<3.0 # Data validation (used in config schemas)
PyYAML>=6.0 # YAML config file parsing
# ============================================================================
# PHASE 9: Performance Optimization
# ============================================================================
numba # JIT compilation for speedups
scikit-learn>=1.3.0 # Clustering for semantic scene detection

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@echo off
REM ===============================================================================
REM WhisperJAV v1.7.5 Uninstaller
REM ===============================================================================
REM
REM This script completely removes WhisperJAV v1.7.5 from your system:
REM - Installation directory (all files)
REM - Desktop shortcut
REM - Optionally: User configuration
REM - Optionally: Cached AI models (~3GB)
REM
REM This script should be run from the installation directory.
REM
SETLOCAL EnableDelayedExpansion
echo ===============================================================================
echo WhisperJAV v1.7.5 Uninstaller
echo ===============================================================================
echo.
echo This will PERMANENTLY DELETE WhisperJAV v1.7.5 and all its files.
echo.
REM Get the installation directory (where this script is located)
set INSTALL_DIR=%~dp0
set INSTALL_DIR=%INSTALL_DIR:~0,-1%
echo Installation Directory:
echo %INSTALL_DIR%
echo.
REM ===== Confirmation Prompt =====
echo WARNING: This action cannot be undone!
echo.
set /p CONFIRM="Are you sure you want to uninstall WhisperJAV v1.7.5? (yes/no): "
if /i not "%CONFIRM%"=="yes" (
echo.
echo Uninstallation canceled.
echo.
pause
exit /b 0
)
echo.
echo ===============================================================================
echo Starting uninstallation...
echo ===============================================================================
echo.
REM Create uninstall log
set UNINSTALL_LOG=%TEMP%\whisperjav_uninstall_v1.7.5.txt
echo WhisperJAV v1.7.5 Uninstallation Log > "%UNINSTALL_LOG%"
echo Uninstall started: %DATE% %TIME% >> "%UNINSTALL_LOG%"
echo Installation directory: %INSTALL_DIR% >> "%UNINSTALL_LOG%"
echo. >> "%UNINSTALL_LOG%"
REM ===== Step 1: Remove Desktop Shortcut =====
echo [Step 1/5] Removing desktop shortcut...
echo [Step 1/5] Desktop shortcut >> "%UNINSTALL_LOG%"
set SHORTCUT_PATH=%USERPROFILE%\Desktop\WhisperJAV v1.7.5.lnk
if exist "%SHORTCUT_PATH%" (
del "%SHORTCUT_PATH%"
if exist "%SHORTCUT_PATH%" (
echo WARNING: Could not delete shortcut
echo WARNING: Shortcut deletion failed >> "%UNINSTALL_LOG%"
) else (
echo - Desktop shortcut removed
echo - Desktop shortcut removed >> "%UNINSTALL_LOG%"
)
) else (
echo - Desktop shortcut not found (already removed)
echo - Desktop shortcut not found >> "%UNINSTALL_LOG%"
)
echo.
REM ===== Step 2: Optional - Remove User Configuration =====
echo [Step 2/5] User configuration...
echo [Step 2/5] User configuration >> "%UNINSTALL_LOG%"
set CONFIG_FILE=%INSTALL_DIR%\whisperjav_config.json
if exist "%CONFIG_FILE%" (
echo.
echo Found user configuration file: whisperjav_config.json
echo This contains your settings and preferences.
echo.
set /p DEL_CONFIG=" Delete configuration file? (y/N): "
if /i "!DEL_CONFIG!"=="y" (
del "%CONFIG_FILE%"
echo - Configuration file deleted
echo - Configuration file deleted >> "%UNINSTALL_LOG%"
) else (
echo - Configuration file kept
echo - Configuration file kept (user choice) >> "%UNINSTALL_LOG%"
)
) else (
echo - No configuration file found
echo - No configuration file >> "%UNINSTALL_LOG%"
)
echo.
REM ===== Step 3: Optional - Remove Cached Models =====
echo [Step 3/5] Cached AI models...
echo [Step 3/5] Cached AI models >> "%UNINSTALL_LOG%"
set MODEL_CACHE=%USERPROFILE%\.cache\whisper
if exist "%MODEL_CACHE%" (
REM Calculate cache size
for /f "tokens=3" %%a in ('dir "%MODEL_CACHE%" /s /-c 2^>nul ^| findstr /c:"File(s)"') do set MODEL_SIZE=%%a
set /a MODEL_SIZE_MB=!MODEL_SIZE! / 1048576
echo.
echo Found cached AI models in: %MODEL_CACHE%
echo Cache size: ~!MODEL_SIZE_MB! MB
echo.
echo Deleting these will free up disk space, but models will need
echo to be re-downloaded if you reinstall WhisperJAV (~3GB, 5-10 min).
echo.
set /p DEL_MODELS=" Delete cached models? (y/N): "
if /i "!DEL_MODELS!"=="y" (
echo - Deleting model cache... (this may take a minute)
rmdir /s /q "%MODEL_CACHE%"
if exist "%MODEL_CACHE%" (
echo WARNING: Could not fully delete model cache
echo WARNING: Model cache deletion failed >> "%UNINSTALL_LOG%"
) else (
echo - Model cache deleted (~!MODEL_SIZE_MB! MB freed)
echo - Model cache deleted (~!MODEL_SIZE_MB! MB) >> "%UNINSTALL_LOG%"
)
) else (
echo - Model cache kept
echo - Model cache kept (user choice) >> "%UNINSTALL_LOG%"
)
) else (
echo - No model cache found
echo - No model cache found >> "%UNINSTALL_LOG%"
)
echo.
REM ===== Step 4: Remove Installation Directory =====
echo [Step 4/5] Removing installation directory...
echo [Step 4/5] Installation directory >> "%UNINSTALL_LOG%"
REM We need to delete the installation directory, but this script is running from it!
REM Strategy: Create a temporary cleanup script that runs after this script exits
set CLEANUP_SCRIPT=%TEMP%\whisperjav_cleanup_v1.7.5.bat
echo @echo off > "%CLEANUP_SCRIPT%"
echo REM Temporary cleanup script for WhisperJAV v1.7.5 >> "%CLEANUP_SCRIPT%"
echo echo Removing installation directory... >> "%CLEANUP_SCRIPT%"
echo timeout /t 2 /nobreak ^>nul >> "%CLEANUP_SCRIPT%"
echo rmdir /s /q "%INSTALL_DIR%" >> "%CLEANUP_SCRIPT%"
echo if exist "%INSTALL_DIR%" ( >> "%CLEANUP_SCRIPT%"
echo echo ERROR: Could not delete installation directory >> "%CLEANUP_SCRIPT%"
echo echo %INSTALL_DIR% >> "%CLEANUP_SCRIPT%"
echo echo. >> "%CLEANUP_SCRIPT%"
echo echo You may need to delete it manually. >> "%CLEANUP_SCRIPT%"
echo pause >> "%CLEANUP_SCRIPT%"
echo ) else ( >> "%CLEANUP_SCRIPT%"
echo echo Installation directory removed successfully! >> "%CLEANUP_SCRIPT%"
echo echo. >> "%CLEANUP_SCRIPT%"
echo echo WhisperJAV v1.7.5 has been uninstalled. >> "%CLEANUP_SCRIPT%"
echo timeout /t 3 /nobreak ^>nul >> "%CLEANUP_SCRIPT%"
echo ) >> "%CLEANUP_SCRIPT%"
echo del "%%~f0" >> "%CLEANUP_SCRIPT%"
echo - Cleanup script created: %CLEANUP_SCRIPT%
echo - Cleanup script created >> "%UNINSTALL_LOG%"
echo.
REM ===== Step 5: Final Summary =====
echo [Step 5/5] Uninstallation summary
echo [Step 5/5] Uninstallation summary >> "%UNINSTALL_LOG%"
echo.
echo ===============================================================================
echo Uninstallation Complete!
echo ===============================================================================
echo.
echo The following items have been removed:
echo - Desktop shortcut: WhisperJAV v1.7.5.lnk
if /i "%DEL_CONFIG%"=="y" echo - User configuration file
if /i "%DEL_MODELS%"=="y" echo - Cached AI models (~!MODEL_SIZE_MB! MB)
echo.
echo The installation directory will be deleted when you close this window:
echo %INSTALL_DIR%
echo.
echo Uninstall log saved to:
echo %UNINSTALL_LOG%
echo.
echo ===============================================================================
REM Log completion
echo. >> "%UNINSTALL_LOG%"
echo Uninstallation completed: %DATE% %TIME% >> "%UNINSTALL_LOG%"
REM Launch cleanup script and exit
echo.
echo Press any key to finish uninstallation and close this window...
pause >nul
start "" "%CLEANUP_SCRIPT%"
exit

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#!/usr/bin/env python
"""
WhisperJAV v1.7.5 Installer Validation Script
==============================================
This script performs comprehensive pre-build validation checks to ensure
all required files are present and correctly configured before running
the conda-constructor build.
Validation checks:
1. All required files exist
2. Version consistency across files
3. Module paths are correct (no old GUI references)
4. Requirements.txt encoding is valid (UTF-8)
5. Icon file exists and is valid
6. README and LICENSE present
7. YAML syntax is valid
Run this before building the installer to catch issues early.
"""
import os
import sys
import re
from pathlib import Path
# Configure UTF-8 encoding for Windows console
if sys.platform == 'win32':
try:
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
except Exception:
pass # Fall back to default encoding if reconfiguration fails
# ANSI color codes for better readability
GREEN = '\033[92m'
RED = '\033[91m'
YELLOW = '\033[93m'
BLUE = '\033[94m'
RESET = '\033[0m'
# Expected version
EXPECTED_VERSION = "1.7.5"
# Required files for v1.7.5 installer
REQUIRED_FILES = [
"construct_v1.7.5.yaml",
"post_install_v1.7.5.bat",
"post_install_v1.7.5.py",
"requirements_v1.7.5.txt",
"constraints_v1.7.5.txt", # Version pinning for problematic packages
"WhisperJAV_Launcher_v1.7.5.py",
"README_INSTALLER_v1.7.5.txt",
"LICENSE.txt",
"whisperjav_icon.ico",
]
# Optional files (warnings only, not errors)
# NOTE: WhisperJAV-GUI.exe is created by post_install from Scripts/whisperjav-gui.exe
OPTIONAL_FILES = []
# Wheel file pattern - matches version with PEP 440 normalization
# e.g., "1.7.0-beta" becomes "1.7.0b0" in wheel filename
WHEEL_PATTERN = "whisperjav-1.7.5*.whl"
WHEEL_PATTERN_FALLBACK = "whisperjav-*.whl"
# Expected module path (no old Tkinter GUI references)
CORRECT_MODULE_PATH = "whisperjav.webview_gui.main"
OLD_MODULE_PATHS = [
"whisperjav.gui.whisperjav_gui",
"whisperjav.gui",
]
def print_header(title):
"""Print a formatted section header"""
print()
print("=" * 80)
print(f" {title}")
print("=" * 80)
def print_check(description, passed, details=""):
"""Print a check result with formatting"""
status = f"{GREEN}✓ PASS{RESET}" if passed else f"{RED}✗ FAIL{RESET}"
print(f" [{status}] {description}")
if details:
print(f" {details}")
def check_file_exists(filepath):
"""Check if a file exists"""
return Path(filepath).exists()
def validate_required_files():
"""Check that all required files exist"""
print_header("Phase 1: Required Files Check")
all_passed = True
for filename in REQUIRED_FILES:
exists = check_file_exists(filename)
print_check(filename, exists)
if not exists:
all_passed = False
# Check for wheel file using glob pattern (try version-specific first)
import glob
wheels = glob.glob(WHEEL_PATTERN)
if not wheels:
# Fall back to any wheel file
wheels = glob.glob(WHEEL_PATTERN_FALLBACK)
if wheels:
# Prefer the one matching our version
wheel_file = wheels[0]
for w in wheels:
if EXPECTED_VERSION.replace("-", "") in w or EXPECTED_VERSION in w:
wheel_file = w
break
print_check(f"Wheel file", True, f"Found: {wheel_file}")
else:
print_check("Wheel file", False, "No wheel file found matching pattern")
all_passed = False
return all_passed
def validate_version_consistency():
"""Check version consistency across files"""
print_header("Phase 2: Version Consistency Check")
all_passed = True
# Version regex supports both formats:
# - PEP 440: 1.7.0b0, 1.7.0a1, 1.7.0rc1 (no hyphen)
# - Display: 1.7.0-beta, 1.7.0-alpha (with hyphen)
version_pattern = r"(\d+\.\d+\.\d+(?:(?:a|b|rc)\d+)?(?:-[a-zA-Z0-9]+)?)"
version_files = [
("construct_v1.7.5.yaml", rf"version:\s*['\"]?{version_pattern}"),
("post_install_v1.7.5.py", rf"WhisperJAV v{version_pattern}"),
("WhisperJAV_Launcher_v1.7.5.py", rf"v{version_pattern}"),
("README_INSTALLER_v1.7.5.txt", rf"WhisperJAV v{version_pattern}"),
]
for filename, pattern in version_files:
if not check_file_exists(filename):
print_check(f"Version in {filename}", False, "File not found")
all_passed = False
continue
try:
with open(filename, 'r', encoding='utf-8') as f:
content = f.read()
match = re.search(pattern, content)
if match:
version = match.group(1)
passed = (version == EXPECTED_VERSION)
details = f"Found: {version}" if not passed else ""
print_check(f"Version in {filename}: {version}", passed, details)
if not passed:
all_passed = False
else:
print_check(f"Version in {filename}", False, "Version pattern not found")
all_passed = False
except Exception as e:
print_check(f"Version in {filename}", False, f"Error: {e}")
all_passed = False
return all_passed
def validate_module_paths():
"""Check that module paths reference the new PyWebView GUI, not old Tkinter GUI"""
print_header("Phase 3: Module Path Validation")
all_passed = True
# Files that contain GUI module references:
# - WhisperJAV_Launcher_v1.7.5.py: Script launcher
# - custom_template_v1.7.5.nsi.tmpl: NSIS shortcut creation (pythonw fallback)
# NOTE: post_install_v1.7.5.py removed - it only handles pip installation,
# shortcuts are now handled by NSIS
files_to_check = [
"WhisperJAV_Launcher_v1.7.5.py",
"custom_template_v1.7.5.nsi.tmpl",
]
for filename in files_to_check:
if not check_file_exists(filename):
print_check(f"Module paths in {filename}", False, "File not found")
all_passed = False
continue
try:
with open(filename, 'r', encoding='utf-8') as f:
content = f.read()
# Check for correct module path
has_correct_path = CORRECT_MODULE_PATH in content
# Check for old module paths (should not exist)
has_old_paths = any(old_path in content for old_path in OLD_MODULE_PATHS)
passed = has_correct_path and not has_old_paths
if passed:
print_check(f"Module paths in {filename}", True)
else:
if not has_correct_path:
print_check(
f"Module paths in {filename}",
False,
f"Missing correct path: {CORRECT_MODULE_PATH}"
)
if has_old_paths:
print_check(
f"Module paths in {filename}",
False,
"Contains old Tkinter GUI references!"
)
all_passed = False
except Exception as e:
print_check(f"Module paths in {filename}", False, f"Error: {e}")
all_passed = False
return all_passed
def validate_requirements_encoding():
"""Check that requirements.txt is valid UTF-8 without encoding issues"""
print_header("Phase 4: Requirements File Encoding Check")
filename = "requirements_v1.7.5.txt"
if not check_file_exists(filename):
print_check(f"{filename} encoding", False, "File not found")
return False
try:
with open(filename, 'r', encoding='utf-8') as f:
content = f.read()
# Check for weird spacing (sign of encoding issues)
if ' ' in content[:100]: # Check first 100 chars for double spaces
print_check(
f"{filename} encoding",
False,
"Suspicious spacing detected - possible encoding issue"
)
return False
# Try to parse as requirements
lines = [line.strip() for line in content.split('\n') if line.strip() and not line.startswith('#')]
if len(lines) < 5:
print_check(
f"{filename} encoding",
False,
f"Too few packages ({len(lines)}) - file may be corrupted"
)
return False
print_check(f"{filename} encoding", True, f"{len(lines)} packages found")
return True
except UnicodeDecodeError as e:
print_check(f"{filename} encoding", False, f"UTF-8 decode error: {e}")
return False
except Exception as e:
print_check(f"{filename} encoding", False, f"Error: {e}")
return False
def validate_optional_files():
"""Check optional files (warnings only, not errors)"""
print_header("Phase 5: Optional Files Check")
# Optional files don't cause validation failure
for filename, description in OPTIONAL_FILES:
exists = check_file_exists(filename)
if exists:
size = Path(filename).stat().st_size
size_kb = size // 1024
print_check(f"{filename}", True, f"{size_kb} KB - {description}")
else:
# Print as warning (yellow), not error
print(f" [{YELLOW}! WARN{RESET}] {filename}")
print(f" Not found: {description}")
print(f" (Will be created during build)")
# Always return True - optional files don't fail validation
return True
def validate_assets():
"""Check that icon and other assets exist and are valid"""
print_header("Phase 6: Asset File Validation")
all_passed = True
# Check icon file
icon_file = "whisperjav_icon.ico"
if check_file_exists(icon_file):
size = Path(icon_file).stat().st_size
if size > 1000: # Should be at least 1KB for a valid icon
print_check(f"{icon_file}", True, f"{size} bytes")
else:
print_check(f"{icon_file}", False, f"File too small ({size} bytes)")
all_passed = False
else:
print_check(f"{icon_file}", False, "File not found")
all_passed = False
# Check LICENSE
license_file = "LICENSE.txt"
if check_file_exists(license_file):
size = Path(license_file).stat().st_size
if size > 100: # Should be at least 100 bytes
print_check(f"{license_file}", True, f"{size} bytes")
else:
print_check(f"{license_file}", False, f"File too small ({size} bytes)")
all_passed = False
else:
print_check(f"{license_file}", False, "File not found")
all_passed = False
return all_passed
def validate_constraints_file():
"""Check that constraints file contains critical version pins"""
print_header("Phase 7: Constraints File Validation")
filename = "constraints_v1.7.5.txt"
if not check_file_exists(filename):
print_check(f"{filename}", False, "File not found")
return False
try:
with open(filename, 'r', encoding='utf-8') as f:
content = f.read()
# Check for critical version constraints
critical_constraints = [
("numpy>=2.0", "NumPy 2.x for librosa compatibility"),
("scipy>=1.10.1", "SciPy for audio processing"),
("librosa>=0.11.0", "Librosa NumPy 2.x support"),
("datasets>=2.14.0,<4.0", "Datasets cap for modelscope"),
("pydantic>=2.0,<3.0", "Pydantic version cap"),
]
all_found = True
for constraint, description in critical_constraints:
if constraint in content:
print_check(f"{constraint}", True, description)
else:
print_check(f"{constraint}", False, f"Missing: {description}")
all_found = False
return all_found
except Exception as e:
print_check(f"{filename}", False, f"Error: {e}")
return False
def validate_yaml_syntax():
"""Basic YAML syntax validation for construct file"""
print_header("Phase 8: YAML Syntax Validation")
filename = "construct_v1.7.5.yaml"
if not check_file_exists(filename):
print_check(f"{filename} syntax", False, "File not found")
return False
try:
import yaml
with open(filename, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
# Check required keys
required_keys = ['name', 'version', 'channels', 'specs', 'post_install', 'extra_files']
missing_keys = [key for key in required_keys if key not in data]
if missing_keys:
print_check(
f"{filename} syntax",
False,
f"Missing required keys: {', '.join(missing_keys)}"
)
return False
# Verify version matches
if data['version'] != EXPECTED_VERSION:
print_check(
f"{filename} syntax",
False,
f"Version mismatch: {data['version']} != {EXPECTED_VERSION}"
)
return False
# Check extra_files exist (excluding optional files that are built during build process)
optional_filenames = [f for f, _ in OPTIONAL_FILES]
missing_files = [
f for f in data['extra_files']
if not check_file_exists(f) and f not in optional_filenames
]
if missing_files:
print_check(
f"{filename} syntax",
False,
f"Extra files missing: {', '.join(missing_files)}"
)
return False
# Warn about optional files listed in extra_files that don't exist yet
optional_missing = [
f for f in data['extra_files']
if not check_file_exists(f) and f in optional_filenames
]
if optional_missing:
print(f" [{YELLOW}! NOTE{RESET}] Optional files in extra_files (built during build):")
for f in optional_missing:
print(f" - {f}")
print_check(f"{filename} syntax", True, "YAML structure valid")
return True
except ImportError:
print_check(f"{filename} syntax", False, "PyYAML not installed (skipping)")
return True # Non-fatal if yaml module not available
except Exception as e:
print_check(f"{filename} syntax", False, f"Error: {e}")
return False
def main():
"""Run all validation checks"""
print()
print("=" * 80)
print(" " * 20 + "WhisperJAV v1.7.5 Installer Validation")
print("=" * 80)
print()
print("Running pre-build validation checks...")
# Run all validation phases
results = []
results.append(("Required Files", validate_required_files()))
results.append(("Version Consistency", validate_version_consistency()))
results.append(("Module Paths", validate_module_paths()))
results.append(("Requirements Encoding", validate_requirements_encoding()))
results.append(("Optional Files", validate_optional_files()))
results.append(("Asset Files", validate_assets()))
results.append(("Constraints File", validate_constraints_file()))
results.append(("YAML Syntax", validate_yaml_syntax()))
# Print summary
print()
print("=" * 80)
print(" VALIDATION SUMMARY")
print("=" * 80)
all_passed = True
for phase, passed in results:
status = f"{GREEN}✓ PASS{RESET}" if passed else f"{RED}✗ FAIL{RESET}"
print(f" {phase:.<50} [{status}]")
if not passed:
all_passed = False
print("=" * 80)
if all_passed:
print()
print(f"{GREEN}✓ All validation checks passed!{RESET}")
print()
print("The installer is ready to build.")
print("Run: build_installer_v1.7.5.bat")
print()
return 0
else:
print()
print(f"{RED}✗ Validation failed!{RESET}")
print()
print("Please fix the issues above before building the installer.")
print()
return 1
if __name__ == "__main__":
try:
sys.exit(main())
except KeyboardInterrupt:
print()
print("Validation interrupted by user.")
sys.exit(1)
except Exception as e:
print()
print(f"FATAL ERROR: {e}")
import traceback
traceback.print_exc()
sys.exit(1)

View File

@ -1,6 +1,6 @@
#!/bin/bash
# ==============================================================================
# WhisperJAV Linux Installation Script
# WhisperJAV Linux Installation Script (v1.7.5 Compatible)
# ==============================================================================
#
# This script handles the staged installation of WhisperJAV on Linux systems,
@ -11,20 +11,39 @@
# ./install_linux.sh
#
# Options:
# --cpu-only Install CPU-only PyTorch (no CUDA)
# --no-speech-enhancement Skip speech enhancement packages (clearvoice, etc.)
# --minimal Install minimal version (no speech enhancement, no TEN VAD)
# --cpu-only Install CPU-only PyTorch (no CUDA)
# --cuda121 Install PyTorch for CUDA 12.1
# --cuda124 Install PyTorch for CUDA 12.4
# --cuda126 Install PyTorch for CUDA 12.6
# --cuda128 Install PyTorch for CUDA 12.8 (default for driver 570+)
# --no-speech-enhancement Skip speech enhancement packages
# --minimal Install minimal version (no speech enhancement, no TEN VAD)
# --dev Install in development/editable mode
#
# ==============================================================================
set -e # Exit on error
# Initialize log file
INSTALL_LOG="$(dirname "$0")/install_log_linux.txt"
echo "" > "$INSTALL_LOG"
# Logging function
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" >> "$INSTALL_LOG"
}
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
log "============================================================"
log " WhisperJAV Linux Installation Script"
log " Started: $(date)"
log "============================================================"
echo "============================================================"
echo " WhisperJAV Linux Installation Script"
echo "============================================================"
@ -56,19 +75,49 @@ if ! command -v ffmpeg &> /dev/null; then
echo " Debian/Ubuntu: sudo apt-get install ffmpeg"
echo " Fedora/RHEL: sudo dnf install ffmpeg"
echo " Arch Linux: sudo pacman -S ffmpeg"
log "ERROR: FFmpeg not found"
exit 1
fi
echo -e "${GREEN}FFmpeg found: $(ffmpeg -version | head -n1)${NC}"
log "FFmpeg found"
# Check for Git
if ! command -v git &> /dev/null; then
echo -e "${RED}Error: Git is not installed.${NC}"
echo "Please install Git first:"
echo " Debian/Ubuntu: sudo apt-get install git"
echo " Fedora/RHEL: sudo dnf install git"
echo " Arch Linux: sudo pacman -S git"
log "ERROR: Git not found"
exit 1
fi
echo -e "${GREEN}Git found${NC}"
log "Git found"
# Parse arguments
CPU_ONLY=false
CUDA_VERSION="auto"
NO_SPEECH_ENHANCEMENT=false
MINIMAL=false
DEV_MODE=false
for arg in "$@"; do
case $arg in
--cpu-only)
CPU_ONLY=true
CUDA_VERSION="cpu"
;;
--cuda121)
CUDA_VERSION="cuda121"
;;
--cuda124)
CUDA_VERSION="cuda124"
;;
--cuda126)
CUDA_VERSION="cuda126"
;;
--cuda128)
CUDA_VERSION="cuda128"
;;
--no-speech-enhancement)
NO_SPEECH_ENHANCEMENT=true
@ -77,129 +126,412 @@ for arg in "$@"; do
MINIMAL=true
NO_SPEECH_ENHANCEMENT=true
;;
--dev)
DEV_MODE=true
;;
--help|-h)
echo ""
echo "WhisperJAV Linux Installation Script"
echo ""
echo "Usage: ./install_linux.sh [options]"
echo ""
echo "Options:"
echo " --cpu-only Install CPU-only PyTorch (no CUDA)"
echo " --cuda121 Install PyTorch for CUDA 12.1"
echo " --cuda124 Install PyTorch for CUDA 12.4"
echo " --cuda126 Install PyTorch for CUDA 12.6"
echo " --cuda128 Install PyTorch for CUDA 12.8 (default for driver 570+)"
echo " --no-speech-enhancement Skip speech enhancement packages"
echo " --minimal Minimal install (no speech enhancement)"
echo " --dev Install in development/editable mode"
echo " --help, -h Show this help message"
echo ""
echo "The script will auto-detect your GPU and select the appropriate"
echo "CUDA version. Use --cuda*** flags to override."
echo ""
exit 0
;;
esac
done
# Check Python version
echo -e "${YELLOW}Checking Python version...${NC}"
log "Checking Python version..."
PYTHON_VERSION=$(python3 --version 2>&1 | awk '{print $2}')
PYTHON_MAJOR=$(echo $PYTHON_VERSION | cut -d. -f1)
PYTHON_MINOR=$(echo $PYTHON_VERSION | cut -d. -f2)
if [ "$PYTHON_MAJOR" -lt 3 ] || ([ "$PYTHON_MAJOR" -eq 3 ] && [ "$PYTHON_MINOR" -lt 9 ]); then
echo -e "${RED}Error: Python 3.9 or higher is required. Found: $PYTHON_VERSION${NC}"
log "ERROR: Python 3.9+ required. Found: $PYTHON_VERSION"
exit 1
fi
if [ "$PYTHON_MINOR" -gt 12 ]; then
echo -e "${YELLOW}Warning: Python 3.13+ may have compatibility issues with openai-whisper${NC}"
log "WARNING: Python 3.13+ detected"
fi
echo -e "${GREEN}Python $PYTHON_VERSION detected${NC}"
log "Python $PYTHON_VERSION detected"
echo ""
# Auto-detect NVIDIA GPU
# Auto-detect NVIDIA GPU and driver version
if [ "$CPU_ONLY" = false ]; then
echo -e "${YELLOW}Checking for NVIDIA GPU...${NC}"
log "Checking for NVIDIA GPU..."
if command -v nvidia-smi &> /dev/null; then
GPU_NAME=$(nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null | head -n1)
DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader 2>/dev/null | head -n1)
if [ -n "$GPU_NAME" ]; then
echo -e "${GREEN}NVIDIA GPU detected: $GPU_NAME${NC}"
echo -e "${GREEN}Driver version: $DRIVER_VERSION${NC}"
log "NVIDIA GPU detected: $GPU_NAME"
log "Driver version: $DRIVER_VERSION"
# Auto-select CUDA version based on driver if not specified
if [ "$CUDA_VERSION" = "auto" ]; then
DRIVER_MAJOR=$(echo "$DRIVER_VERSION" | cut -d. -f1)
if [ "$DRIVER_MAJOR" -ge 570 ] 2>/dev/null; then
CUDA_VERSION="cuda128"
echo -e "${GREEN}Auto-selecting CUDA 12.8 based on driver $DRIVER_VERSION${NC}"
log "Auto-selecting CUDA 12.8"
elif [ "$DRIVER_MAJOR" -ge 560 ] 2>/dev/null; then
CUDA_VERSION="cuda126"
echo -e "${GREEN}Auto-selecting CUDA 12.6 based on driver $DRIVER_VERSION${NC}"
log "Auto-selecting CUDA 12.6"
elif [ "$DRIVER_MAJOR" -ge 551 ] 2>/dev/null; then
CUDA_VERSION="cuda124"
echo -e "${GREEN}Auto-selecting CUDA 12.4 based on driver $DRIVER_VERSION${NC}"
log "Auto-selecting CUDA 12.4"
else
CUDA_VERSION="cuda121"
echo -e "${GREEN}Using CUDA 12.1 for driver $DRIVER_VERSION${NC}"
log "Using CUDA 12.1"
fi
fi
else
echo -e "${RED}nvidia-smi found but no GPU detected${NC}"
log "WARNING: nvidia-smi found but no GPU detected"
CPU_ONLY=true
CUDA_VERSION="cpu"
fi
elif [ -f "/proc/driver/nvidia/version" ]; then
echo -e "${GREEN}NVIDIA driver detected${NC}"
log "NVIDIA driver detected"
if [ "$CUDA_VERSION" = "auto" ]; then
CUDA_VERSION="cuda121"
fi
else
echo -e "${RED}No NVIDIA GPU detected!${NC}"
echo -e "${YELLOW}Switching to CPU-only installation automatically.${NC}"
log "No NVIDIA GPU - switching to CPU-only"
CPU_ONLY=true
CUDA_VERSION="cpu"
fi
echo ""
fi
# Upgrade pip
echo -e "${YELLOW}Step 1/6: Upgrading pip...${NC}"
python3 -m pip install --upgrade pip
echo ""
# Install PyTorch first (before anything else)
echo -e "${YELLOW}Step 2/6: Installing PyTorch...${NC}"
# Display configuration
echo "============================================================"
echo " Installation Configuration"
echo "============================================================"
if [ "$CPU_ONLY" = true ]; then
echo "Installing CPU-only PyTorch..."
pip3 install torch torchaudio --index-url https://download.pytorch.org/whl/cpu
echo " PyTorch: CPU-only"
log "Configuration: PyTorch=CPU-only"
else
echo "Installing PyTorch with CUDA support..."
pip3 install torch torchaudio --index-url https://download.pytorch.org/whl/cu121
echo " PyTorch: $CUDA_VERSION"
log "Configuration: PyTorch=$CUDA_VERSION"
fi
if [ "$NO_SPEECH_ENHANCEMENT" = true ]; then
echo " Speech Enhancement: Disabled"
log "Configuration: Speech Enhancement=Disabled"
else
echo " Speech Enhancement: Enabled"
log "Configuration: Speech Enhancement=Enabled"
fi
if [ "$DEV_MODE" = true ]; then
echo " Mode: Development (editable)"
log "Configuration: Mode=Development"
else
echo " Mode: Standard"
log "Configuration: Mode=Standard"
fi
echo "============================================================"
echo ""
# Install core dependencies that don't have conflicts
echo -e "${YELLOW}Step 3/6: Installing core dependencies...${NC}"
pip3 install numpy>=2.0 scipy>=1.10.1 librosa>=0.11.0
pip3 install soundfile pydub tqdm colorama requests regex
# ==============================================================================
# Phase 1: Upgrade pip
# ==============================================================================
log ""
log "============================================================"
log " Phase 1: Upgrade pip"
log "============================================================"
echo -e "${YELLOW}Step 1/7: Upgrading pip...${NC}"
python3 -m pip install --upgrade pip
log "pip upgraded"
echo ""
# ==============================================================================
# Phase 2: Install PyTorch
# ==============================================================================
log ""
log "============================================================"
log " Phase 2: PyTorch Installation"
log "============================================================"
echo -e "${YELLOW}Step 2/7: Installing PyTorch...${NC}"
# Select PyTorch URL based on CUDA version
case $CUDA_VERSION in
cpu)
TORCH_URL="https://download.pytorch.org/whl/cpu"
;;
cuda121)
TORCH_URL="https://download.pytorch.org/whl/cu121"
;;
cuda124)
TORCH_URL="https://download.pytorch.org/whl/cu124"
;;
cuda126)
TORCH_URL="https://download.pytorch.org/whl/cu126"
;;
cuda128)
TORCH_URL="https://download.pytorch.org/whl/cu128"
;;
*)
TORCH_URL="https://download.pytorch.org/whl/cu121"
;;
esac
echo "Installing PyTorch ($CUDA_VERSION)..."
log "Installing PyTorch ($CUDA_VERSION) from $TORCH_URL..."
pip3 install --progress-bar on torch torchaudio --index-url "$TORCH_URL"
log "PyTorch installed"
echo ""
# ==============================================================================
# Phase 3: Core Dependencies
# ==============================================================================
log ""
log "============================================================"
log " Phase 3: Core Dependencies"
log "============================================================"
echo -e "${YELLOW}Step 3/7: Installing core dependencies...${NC}"
# Phase 3.1: Core scientific stack (MUST install first)
log "Phase 3.1: Installing scientific stack..."
pip3 install "numpy>=2.0" "scipy>=1.10.1" "librosa>=0.11.0"
# Phase 3.2: Audio and utility packages (including fsspec constraint)
log "Phase 3.2: Installing audio/utility packages..."
pip3 install --progress-bar on soundfile pydub tqdm colorama requests regex "psutil>=5.9.0" "fsspec>=2025.3.0"
# Phase 3.3: Subtitle and async packages
log "Phase 3.3: Installing subtitle/async packages..."
pip3 install pysrt srt aiofiles jsonschema pyloudnorm
pip3 install pydantic>=2.0 PyYAML>=6.0
# Phase 3.4: Config and optimization packages
log "Phase 3.4: Installing config packages..."
pip3 install "pydantic>=2.0,<3.0" "PyYAML>=6.0" numba
# Phase 3.5: Image packages (non-fatal)
pip3 install Pillow || echo -e "${YELLOW}Warning: Pillow installation failed (non-fatal)${NC}"
log "Core dependencies installed"
echo ""
# Install Whisper packages from git (avoid PyPI conflicts)
echo -e "${YELLOW}Step 4/6: Installing Whisper packages...${NC}"
# ==============================================================================
# Phase 4: Whisper Packages
# ==============================================================================
log ""
log "============================================================"
log " Phase 4: Whisper Packages"
log "============================================================"
echo -e "${YELLOW}Step 4/7: Installing Whisper packages...${NC}"
log "Installing Whisper packages..."
pip3 install git+https://github.com/openai/whisper@main
log "openai-whisper installed"
pip3 install git+https://github.com/meizhong986/stable-ts-fix-setup.git@main
pip3 install faster-whisper>=1.1.0
log "stable-ts installed"
# ffmpeg-python: PyPI tarball fails, use git URL
pip3 install git+https://github.com/kkroening/ffmpeg-python.git || {
echo -e "${YELLOW}Warning: ffmpeg-python from git failed, trying PyPI...${NC}"
log "WARNING: ffmpeg-python git failed, trying PyPI"
pip3 install ffmpeg-python
}
log "ffmpeg-python installed"
pip3 install "faster-whisper>=1.1.0"
log "faster-whisper installed"
echo ""
# Install optional packages
echo -e "${YELLOW}Step 5/6: Installing optional packages...${NC}"
# ==============================================================================
# Phase 5: Optional Packages
# ==============================================================================
log ""
log "============================================================"
log " Phase 5: Optional Packages"
log "============================================================"
echo -e "${YELLOW}Step 5/7: Installing optional packages...${NC}"
# HuggingFace / Transformers
pip3 install huggingface-hub>=0.25.0 transformers>=4.40.0 accelerate>=0.26.0
log "Installing HuggingFace packages..."
pip3 install "huggingface-hub>=0.25.0" "transformers>=4.40.0" "accelerate>=0.26.0"
# hf_xet for faster HuggingFace downloads (optional)
pip3 install hf_xet 2>/dev/null || log "Note: hf_xet not installed (optional)"
# Translation
pip3 install PySubtrans>=0.7.0 openai>=1.35.0 google-genai>=1.39.0
log "Installing translation packages..."
pip3 install "PySubtrans>=0.7.0" "openai>=1.35.0" "google-genai>=1.39.0"
# VAD
pip3 install silero-vad>=6.0 auditok
log "Installing VAD packages..."
pip3 install "silero-vad>=6.0" auditok
if [ "$MINIMAL" = false ]; then
pip3 install ten-vad || echo -e "${YELLOW}Warning: ten-vad installation failed (optional)${NC}"
pip3 install "scikit-learn>=1.3.0"
fi
log "Optional packages installed"
echo ""
# ==============================================================================
# Phase 6: Speech Enhancement (optional but recommended)
# ==============================================================================
log ""
log "============================================================"
log " Phase 6: Speech Enhancement"
log "============================================================"
if [ "$NO_SPEECH_ENHANCEMENT" = false ]; then
echo -e "${YELLOW}Step 6/7: Installing speech enhancement packages...${NC}"
echo "Note: These packages can be tricky. If installation fails, re-run with --no-speech-enhancement"
echo " Speech enhancement improves transcription quality in noisy audio."
echo ""
log "Installing speech enhancement packages..."
# Install ModelScope dependencies first (CRITICAL: datasets must be <4.0)
log "Installing ModelScope dependencies..."
pip3 install addict simplejson sortedcontainers packaging
pip3 install "datasets>=2.14.0,<4.0" || {
echo -e "${YELLOW}Warning: datasets installation failed - modelscope may not work${NC}"
log "WARNING: datasets installation failed"
}
# Install ModelScope (ZipEnhancer SOTA speech enhancement)
echo "Installing ModelScope (ZipEnhancer)..."
log "Installing ModelScope..."
pip3 install "modelscope>=1.20" || {
echo -e "${YELLOW}Warning: modelscope installation failed (optional)${NC}"
log "WARNING: modelscope installation failed"
}
# Install ClearVoice from NumPy 2.x compatible fork
echo "Installing ClearVoice (48kHz denoising)..."
log "Installing ClearVoice..."
pip3 install "git+https://github.com/meizhong986/ClearerVoice-Studio.git#subdirectory=clearvoice" || {
echo -e "${YELLOW}Warning: clearvoice installation failed (optional)${NC}"
log "WARNING: clearvoice installation failed"
}
# BS-RoFormer (vocal isolation)
echo "Installing BS-RoFormer (vocal isolation)..."
log "Installing BS-RoFormer..."
pip3 install bs-roformer-infer || {
echo -e "${YELLOW}Warning: bs-roformer-infer installation failed (optional)${NC}"
log "WARNING: bs-roformer-infer installation failed"
}
# ONNX Runtime for ZipEnhancer ONNX mode
echo "Installing ONNX Runtime..."
pip3 install "onnxruntime>=1.16.0" || log "Note: onnxruntime installation failed (optional)"
log "Speech enhancement packages installed"
else
echo -e "${YELLOW}Step 6/7: Skipping speech enhancement (--no-speech-enhancement)${NC}"
log "Skipping speech enhancement (--no-speech-enhancement)"
fi
echo ""
# ==============================================================================
# Phase 7: WhisperJAV Application
# ==============================================================================
log ""
log "============================================================"
log " Phase 7: WhisperJAV Application"
log "============================================================"
echo -e "${YELLOW}Step 7/7: Installing WhisperJAV...${NC}"
if [ "$DEV_MODE" = true ]; then
log "Installing WhisperJAV in development mode..."
pip3 install --no-deps -e .
else
log "Installing WhisperJAV..."
pip3 install --no-deps git+https://github.com/meizhong986/whisperjav.git
fi
log "WhisperJAV installed"
echo ""
# ==============================================================================
# Verification Phase
# ==============================================================================
log ""
log "============================================================"
log " Verification Phase"
log "============================================================"
echo -e "${YELLOW}Verifying installation...${NC}"
log "Verifying installation..."
# Verify WhisperJAV
python3 -c "import whisperjav; print(f'WhisperJAV {whisperjav.__version__} installed successfully!')" && {
echo -e "${GREEN}Installation complete!${NC}"
log "WhisperJAV verified successfully"
} || {
echo -e "${RED}Installation may have issues. Check the output above.${NC}"
log "WARNING: WhisperJAV verification failed"
}
# Verify PyTorch CUDA
python3 -c "import torch; cuda_status = 'ENABLED' if torch.cuda.is_available() else 'DISABLED'; print(f'CUDA acceleration: {cuda_status}')" 2>/dev/null
# Verify critical packages
echo ""
echo "Verifying critical packages:"
log "Verifying critical packages..."
python3 -c "import numpy; print(f' numpy: {numpy.__version__}')" 2>/dev/null || echo " numpy: FAILED"
python3 -c "import scipy; print(f' scipy: {scipy.__version__}')" 2>/dev/null || echo " scipy: FAILED"
python3 -c "import librosa; print(f' librosa: {librosa.__version__}')" 2>/dev/null || echo " librosa: FAILED"
python3 -c "import faster_whisper; print(f' faster-whisper: {faster_whisper.__version__}')" 2>/dev/null || echo " faster-whisper: FAILED"
python3 -c "import transformers; print(f' transformers: {transformers.__version__}')" 2>/dev/null || echo " transformers: FAILED"
# Speech Enhancement (optional, can cause conflicts)
if [ "$NO_SPEECH_ENHANCEMENT" = false ]; then
echo ""
echo -e "${YELLOW}Installing speech enhancement packages...${NC}"
echo "Note: These packages can be tricky. If installation fails, re-run with --no-speech-enhancement"
# Install modelscope and its dependencies first
pip3 install addict simplejson sortedcontainers packaging
pip3 install "datasets>=2.14.0,<4.0"
pip3 install modelscope>=1.20 || echo -e "${YELLOW}Warning: modelscope installation failed${NC}"
# Install clearvoice from fork (supports numpy 2.x)
pip3 install "git+https://github.com/meizhong986/ClearerVoice-Studio.git#subdirectory=clearvoice" || \
echo -e "${YELLOW}Warning: clearvoice installation failed (speech enhancement will be disabled)${NC}"
# BS-RoFormer
pip3 install bs-roformer-infer || echo -e "${YELLOW}Warning: bs-roformer-infer installation failed${NC}"
pip3 install onnxruntime>=1.16.0
echo "Speech enhancement packages:"
python3 -c "import modelscope; print(f' modelscope: {modelscope.__version__}')" 2>/dev/null || echo " modelscope: NOT INSTALLED"
python3 -c "import clearvoice; print(' clearvoice: installed')" 2>/dev/null || echo " clearvoice: NOT INSTALLED"
fi
echo ""
# Install WhisperJAV itself
echo -e "${YELLOW}Step 6/6: Installing WhisperJAV...${NC}"
pip3 install --no-deps git+https://github.com/meizhong986/whisperjav.git
echo ""
# Verify installation
echo -e "${YELLOW}Verifying installation...${NC}"
python3 -c "import whisperjav; print(f'WhisperJAV {whisperjav.__version__} installed successfully!')" && \
echo -e "${GREEN}Installation complete!${NC}" || \
echo -e "${RED}Installation may have issues. Check the output above.${NC}"
echo ""
# ==============================================================================
# Summary
# ==============================================================================
log ""
log "============================================================"
log " Installation Complete!"
log "============================================================"
echo "============================================================"
echo " Installation Summary"
echo "============================================================"
@ -213,3 +545,10 @@ echo ""
echo " For help:"
echo " whisperjav --help"
echo ""
echo " Log file: $INSTALL_LOG"
echo ""
echo " If you encounter issues with speech enhancement, re-run with:"
echo " ./install_linux.sh --no-speech-enhancement"
echo ""
log "Installation completed successfully at $(date)"

View File

@ -17,9 +17,10 @@ REM
REM Options:
REM --cpu-only Install CPU-only PyTorch (no CUDA)
REM --cuda118 Install PyTorch for CUDA 11.8
REM --cuda121 Install PyTorch for CUDA 12.1 (default)
REM --cuda121 Install PyTorch for CUDA 12.1
REM --cuda124 Install PyTorch for CUDA 12.4
REM --cuda126 Install PyTorch for CUDA 12.6
REM --cuda128 Install PyTorch for CUDA 12.8 (default for driver 570+)
REM --no-speech-enhancement Skip speech enhancement packages
REM --minimal Minimal install (transcription only)
REM --dev Install in development/editable mode
@ -58,6 +59,7 @@ if /i "%~1"=="--cuda118" set "CUDA_VERSION=cuda118"
if /i "%~1"=="--cuda121" set "CUDA_VERSION=cuda121"
if /i "%~1"=="--cuda124" set "CUDA_VERSION=cuda124"
if /i "%~1"=="--cuda126" set "CUDA_VERSION=cuda126"
if /i "%~1"=="--cuda128" set "CUDA_VERSION=cuda128"
if /i "%~1"=="--no-speech-enhancement" set "NO_SPEECH_ENHANCEMENT=1"
if /i "%~1"=="--minimal" (
set "MINIMAL=1"
@ -220,12 +222,17 @@ if "%CPU_ONLY%"=="0" (
REM Auto-select CUDA version based on driver if user didn't specify
if "%CUDA_VERSION%"=="cuda121" (
REM Check if driver supports newer CUDA
REM Driver 570+ supports CUDA 12.8
REM Driver 560+ supports CUDA 12.6
REM Driver 551+ supports CUDA 12.4
REM Driver 531+ supports CUDA 12.1
for /f "tokens=1 delims=." %%d in ("!DRIVER_VERSION!") do set "DRIVER_MAJOR=%%d"
if defined DRIVER_MAJOR (
if !DRIVER_MAJOR! GEQ 560 (
if !DRIVER_MAJOR! GEQ 570 (
echo Auto-selecting CUDA 12.8 based on driver !DRIVER_VERSION!
call :log "Auto-selecting CUDA 12.8 based on driver"
set "CUDA_VERSION=cuda128"
) else if !DRIVER_MAJOR! GEQ 560 (
echo Auto-selecting CUDA 12.6 based on driver !DRIVER_VERSION!
call :log "Auto-selecting CUDA 12.6 based on driver"
set "CUDA_VERSION=cuda126"
@ -286,6 +293,10 @@ if "%CUDA_VERSION%"=="cuda126" (
set "TORCH_URL=https://download.pytorch.org/whl/cu126"
set "TORCH_PACKAGES=torch torchaudio"
)
if "%CUDA_VERSION%"=="cuda128" (
set "TORCH_URL=https://download.pytorch.org/whl/cu128"
set "TORCH_PACKAGES=torch torchaudio"
)
REM Display configuration
echo.
@ -350,7 +361,7 @@ if errorlevel 1 (
echo.
REM ============================================================
REM Phase 4: Core Dependencies
REM Phase 4: Core Dependencies (with constraints)
REM ============================================================
call :log ""
call :log "============================================================"
@ -361,23 +372,31 @@ echo ============================================================
echo [Step 3/7] Installing core dependencies
echo ============================================================
REM Phase 4.1: Core scientific stack (MUST install first to establish versions)
call :log "Phase 4.1: Installing core scientific stack..."
call :run_pip_with_retry "install numpy>=2.0 scipy>=1.10.1 librosa>=0.11.0" "Install scientific packages"
if errorlevel 1 goto :install_failed
call :run_pip_with_retry "install soundfile pydub tqdm colorama requests regex" "Install audio/utility packages"
REM Phase 4.2: Audio and utility packages
call :log "Phase 4.2: Installing audio/utility packages..."
call :run_pip_with_retry "install --progress-bar on soundfile pydub tqdm colorama requests regex psutil>=5.9.0 fsspec>=2025.3.0" "Install audio/utility packages"
if errorlevel 1 goto :install_failed
REM Phase 4.3: Subtitle and async packages
call :log "Phase 4.3: Installing subtitle/async packages..."
call :run_pip_with_retry "install pysrt srt aiofiles jsonschema pyloudnorm" "Install subtitle/async packages"
if errorlevel 1 goto :install_failed
REM Phase 4.4: Config and optimization packages
call :log "Phase 4.4: Installing config packages..."
call :run_pip_with_retry "install pydantic>=2.0,<3.0 PyYAML>=6.0 numba" "Install config packages"
if errorlevel 1 goto :install_failed
REM Additional packages from requirements_v1.7.4.txt
call :run_pip_with_retry "install Pillow matplotlib" "Install image/plotting packages"
REM Phase 4.5: Image/plotting packages (non-fatal)
call :run_pip_with_retry "install Pillow" "Install image packages"
if errorlevel 1 (
echo WARNING: Pillow/matplotlib installation failed (non-fatal)
call :log "WARNING: Pillow/matplotlib installation failed"
echo WARNING: Pillow installation failed (non-fatal)
call :log "WARNING: Pillow installation failed"
)
echo.
@ -405,10 +424,12 @@ if errorlevel 1 (
exit /b 1
)
call :run_pip_with_retry "install git+https://github.com/kkroening/ffmpeg-python.git" "Install ffmpeg-python"
REM ffmpeg-python: PyPI tarball fails, use git URL
call :run_pip_with_retry "install git+https://github.com/kkroening/ffmpeg-python.git" "Install ffmpeg-python (git)"
if errorlevel 1 (
echo WARNING: ffmpeg-python from git failed, trying PyPI version...
call :run_pip_with_retry "install ffmpeg-python" "Install ffmpeg-python (PyPI)"
call :log "WARNING: ffmpeg-python git failed, trying PyPI..."
call :run_pip_with_retry "install ffmpeg-python" "Install ffmpeg-python (PyPI fallback)"
)
call :run_pip_with_retry "install faster-whisper>=1.1.0" "Install faster-whisper"
@ -438,6 +459,12 @@ if errorlevel 1 (
call :log "WARNING: HuggingFace packages failed"
)
REM hf_xet for faster HuggingFace downloads (optional)
python -m pip install hf_xet 2>nul
if errorlevel 1 (
call :log "Note: hf_xet not installed (optional, faster HF downloads)"
)
REM Translation
call :log "Installing translation packages..."
call :run_pip_with_retry "install PySubtrans>=0.7.0 openai>=1.35.0 google-genai>=1.39.0" "Install translation packages"
@ -471,40 +498,58 @@ if "%MINIMAL%"=="0" (
)
echo.
REM Speech Enhancement (optional)
REM Speech Enhancement (optional but recommended)
if "%NO_SPEECH_ENHANCEMENT%"=="0" (
echo ============================================================
echo [Step 6/7] Installing speech enhancement packages
echo ============================================================
echo Note: These packages can be tricky. Failures here are non-fatal.
echo Speech enhancement improves transcription quality in noisy audio.
echo.
call :log "Installing speech enhancement packages..."
REM Install ModelScope dependencies first (CRITICAL: datasets must be <4.0)
call :log "Installing ModelScope dependencies..."
python -m pip install addict simplejson sortedcontainers packaging 2>nul
python -m pip install "datasets>=2.14.0,<4.0" 2>nul
if errorlevel 1 (
echo WARNING: datasets installation failed - modelscope may not work
call :log "WARNING: datasets installation failed"
)
echo Installing ModelScope...
REM Install ModelScope (ZipEnhancer SOTA speech enhancement)
echo Installing ModelScope ^(ZipEnhancer^)...
call :log "Installing ModelScope..."
python -m pip install "modelscope>=1.20" 2>nul
if errorlevel 1 (
echo WARNING: modelscope installation failed ^(optional^)
call :log "WARNING: modelscope installation failed"
)
echo Installing ClearVoice...
REM Install ClearVoice from NumPy 2.x compatible fork
echo Installing ClearVoice ^(48kHz denoising^)...
call :log "Installing ClearVoice..."
python -m pip install "git+https://github.com/meizhong986/ClearerVoice-Studio.git#subdirectory=clearvoice" 2>nul
if errorlevel 1 (
echo WARNING: clearvoice installation failed ^(optional^)
call :log "WARNING: clearvoice installation failed"
)
echo Installing BS-RoFormer...
REM Install BS-RoFormer (vocal isolation)
echo Installing BS-RoFormer ^(vocal isolation^)...
call :log "Installing BS-RoFormer..."
python -m pip install bs-roformer-infer 2>nul
if errorlevel 1 (
echo WARNING: bs-roformer-infer installation failed ^(optional^)
call :log "WARNING: bs-roformer-infer installation failed"
)
REM ONNX Runtime for ZipEnhancer ONNX mode
echo Installing ONNX Runtime...
python -m pip install "onnxruntime>=1.16.0" 2>nul
if errorlevel 1 (
call :log "Note: onnxruntime installation failed (optional)"
)
echo.
) else (
echo ============================================================
@ -546,7 +591,7 @@ if errorlevel 1 (
echo.
REM ============================================================
REM Verification and Summary
REM Verification Phase: Check Critical Dependencies
REM ============================================================
call :log ""
call :log "============================================================"
@ -556,9 +601,11 @@ call :log "============================================================"
echo ============================================================
echo Verifying Installation
echo ============================================================
REM Verify WhisperJAV
python -c "import whisperjav; print(f'WhisperJAV {whisperjav.__version__} installed successfully!')"
if errorlevel 1 (
echo WARNING: Could not verify installation
echo WARNING: Could not verify WhisperJAV installation
call :log "WARNING: WhisperJAV verification failed"
) else (
call :log "WhisperJAV verified successfully"
@ -567,6 +614,24 @@ if errorlevel 1 (
REM Verify PyTorch CUDA status
python -c "import torch; cuda_status = 'ENABLED' if torch.cuda.is_available() else 'DISABLED'; print(f'CUDA acceleration: {cuda_status}')" 2>nul
REM Verify critical packages
echo.
echo Verifying critical packages:
call :log "Verifying critical packages..."
python -c "import numpy; print(f' numpy: {numpy.__version__}')" 2>nul || echo numpy: FAILED
python -c "import scipy; print(f' scipy: {scipy.__version__}')" 2>nul || echo scipy: FAILED
python -c "import librosa; print(f' librosa: {librosa.__version__}')" 2>nul || echo librosa: FAILED
python -c "import faster_whisper; print(f' faster-whisper: {faster_whisper.__version__}')" 2>nul || echo faster-whisper: FAILED
python -c "import transformers; print(f' transformers: {transformers.__version__}')" 2>nul || echo transformers: FAILED
if "%NO_SPEECH_ENHANCEMENT%"=="0" (
echo.
echo Speech enhancement packages:
python -c "import modelscope; print(f' modelscope: {modelscope.__version__}')" 2>nul || echo modelscope: NOT INSTALLED
python -c "import clearvoice; print(' clearvoice: installed')" 2>nul || echo clearvoice: NOT INSTALLED
)
echo.
REM Summary
@ -674,9 +739,10 @@ echo.
echo Options:
echo --cpu-only Install CPU-only PyTorch ^(no CUDA^)
echo --cuda118 Install PyTorch for CUDA 11.8
echo --cuda121 Install PyTorch for CUDA 12.1 ^(default^)
echo --cuda121 Install PyTorch for CUDA 12.1
echo --cuda124 Install PyTorch for CUDA 12.4
echo --cuda126 Install PyTorch for CUDA 12.6
echo --cuda128 Install PyTorch for CUDA 12.8 ^(default for driver 570+^)
echo --no-speech-enhancement Skip speech enhancement packages
echo --minimal Minimal install ^(transcription only^)
echo --dev Install in development/editable mode
@ -685,9 +751,11 @@ echo.
echo Examples:
echo install_windows.bat # Standard install with auto CUDA detection
echo install_windows.bat --cpu-only # CPU-only install
echo install_windows.bat --cuda128 # Force CUDA 12.8
echo install_windows.bat --minimal --dev # Minimal dev install
echo.
echo The script will auto-detect your GPU and select the appropriate
echo CUDA version. Use --cuda*** flags to override.
echo CUDA version ^(12.8 for driver 570+, 12.6 for 560+, etc.^).
echo Use --cuda*** flags to override.
echo.
exit /b 0

View File

@ -0,0 +1,565 @@
#!/usr/bin/env python3
"""
Unit tests for compute_type="auto" strategy.
Tests the CTranslate2 compute_type delegation implemented in:
- whisperjav/config/resolver_v3.py
- whisperjav/modules/faster_whisper_pro_asr.py
- whisperjav/modules/kotoba_faster_whisper_asr.py
- whisperjav/modules/speech_segmentation/backends/whisper_vad.py
Background:
- CTranslate2's "auto" selects optimal compute_type based on device capabilities
- Automatically handles RTX 50XX Blackwell (sm120) which doesn't support INT8
- See: https://github.com/OpenNMT/CTranslate2/issues/1865
Run with: pytest tests/test_compute_type_auto.py -v
"""
import pytest
from unittest.mock import patch, MagicMock
# =============================================================================
# Resolver Tests
# =============================================================================
class TestResolverComputeType:
"""Tests for resolver_v3.py compute_type selection."""
def test_ctranslate2_providers_return_auto(self):
"""Test that CTranslate2 providers get compute_type='auto'."""
from whisperjav.config.resolver_v3 import _get_compute_type_for_device
# CTranslate2 providers should return "auto" regardless of device
assert _get_compute_type_for_device("cuda", "faster_whisper") == "auto"
assert _get_compute_type_for_device("cpu", "faster_whisper") == "auto"
assert _get_compute_type_for_device("cuda", "kotoba_faster_whisper") == "auto"
assert _get_compute_type_for_device("cpu", "kotoba_faster_whisper") == "auto"
def test_pytorch_providers_return_explicit_types(self):
"""Test that PyTorch providers get explicit compute_type values."""
from whisperjav.config.resolver_v3 import _get_compute_type_for_device
# PyTorch providers should return explicit types
assert _get_compute_type_for_device("cuda", "openai_whisper") == "float16"
assert _get_compute_type_for_device("mps", "openai_whisper") == "float16"
assert _get_compute_type_for_device("cpu", "openai_whisper") == "float32"
assert _get_compute_type_for_device("cuda", "stable_ts") == "float16"
assert _get_compute_type_for_device("cpu", "stable_ts") == "float32"
def test_ctranslate2_providers_set(self):
"""Test that CTRANSLATE2_PROVIDERS set is correctly defined."""
from whisperjav.config.resolver_v3 import CTRANSLATE2_PROVIDERS
assert "faster_whisper" in CTRANSLATE2_PROVIDERS
assert "kotoba_faster_whisper" in CTRANSLATE2_PROVIDERS
# PyTorch providers should NOT be in this set
assert "openai_whisper" not in CTRANSLATE2_PROVIDERS
assert "stable_ts" not in CTRANSLATE2_PROVIDERS
class TestResolverIntegration:
"""Integration tests for resolver with compute_type='auto'."""
@pytest.fixture
def mock_device_detector(self):
"""Mock device detector to return specific device."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock:
yield mock
def test_resolve_config_faster_whisper_cuda(self, mock_device_detector):
"""Test that faster_whisper config has compute_type='auto' on CUDA."""
mock_device_detector.return_value = "cuda"
# Mock the component registries
with patch('whisperjav.config.resolver_v3.get_asr_registry') as mock_asr:
with patch('whisperjav.config.resolver_v3.get_vad_registry') as mock_vad:
# Setup mock ASR component
mock_component = MagicMock()
mock_component.provider = "faster_whisper"
mock_component.model_id = "large-v3"
mock_component.supported_tasks = ["transcribe"]
mock_preset = MagicMock()
mock_preset.model_dump.return_value = {"language": "ja", "task": "transcribe"}
mock_component.get_preset.return_value = mock_preset
mock_asr.return_value = {"faster_whisper": mock_component}
mock_vad.return_value = {}
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(asr="faster_whisper", vad="none")
assert config["model"]["compute_type"] == "auto"
def test_resolve_config_faster_whisper_cpu(self, mock_device_detector):
"""Test that faster_whisper config has compute_type='auto' on CPU."""
mock_device_detector.return_value = "cpu"
with patch('whisperjav.config.resolver_v3.get_asr_registry') as mock_asr:
with patch('whisperjav.config.resolver_v3.get_vad_registry') as mock_vad:
mock_component = MagicMock()
mock_component.provider = "faster_whisper"
mock_component.model_id = "large-v3"
mock_component.supported_tasks = ["transcribe"]
mock_preset = MagicMock()
mock_preset.model_dump.return_value = {"language": "ja", "task": "transcribe"}
mock_component.get_preset.return_value = mock_preset
mock_asr.return_value = {"faster_whisper": mock_component}
mock_vad.return_value = {}
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(asr="faster_whisper", vad="none")
# Should be "auto" even on CPU - CTranslate2 handles selection
assert config["model"]["compute_type"] == "auto"
# =============================================================================
# ASR Module Tests
# =============================================================================
class TestFasterWhisperProASR:
"""Tests for FasterWhisperProASR compute_type handling."""
def test_uses_compute_type_from_config(self):
"""Test that compute_type is taken from model_config."""
# We can't easily test the full initialization without models
# but we can verify the default behavior
pass # Tested via integration tests
def test_default_compute_type_is_auto(self):
"""Test that default compute_type is 'auto'."""
# This is verified by checking the resolver returns "auto"
from whisperjav.config.resolver_v3 import _get_compute_type_for_device
assert _get_compute_type_for_device("cuda", "faster_whisper") == "auto"
class TestKotobaFasterWhisperASR:
"""Tests for KotobaFasterWhisperASR compute_type handling."""
def test_default_compute_type_is_auto(self):
"""Test that default compute_type is 'auto'."""
from whisperjav.config.resolver_v3 import _get_compute_type_for_device
assert _get_compute_type_for_device("cuda", "kotoba_faster_whisper") == "auto"
class TestWhisperVAD:
"""Tests for WhisperVAD compute_type handling."""
def test_default_compute_type_is_auto(self):
"""Test that default compute_type parameter is 'auto'."""
import inspect
from whisperjav.modules.speech_segmentation.backends.whisper_vad import WhisperVadSpeechSegmenter
sig = inspect.signature(WhisperVadSpeechSegmenter.__init__)
compute_type_param = sig.parameters.get('compute_type')
assert compute_type_param is not None
assert compute_type_param.default == "auto"
# =============================================================================
# CTranslate2 Auto Selection Logic Tests
# =============================================================================
class TestCTranslate2AutoBehavior:
"""Tests documenting expected CTranslate2 'auto' behavior."""
def test_auto_documented_behavior(self):
"""
Document expected CTranslate2 'auto' behavior.
According to CTranslate2 documentation:
- "auto" selects the fastest supported compute type
- GPU (CC 8.0): All types supported, likely selects int8_float16
- GPU (CC 6.1-7.0): int8/float16 optimized
- CPU: int8/int16/float32 based on instruction sets
- Blackwell sm120: Disables INT8 (PR #1937)
This test documents the expected behavior rather than testing it,
as the actual behavior depends on CTranslate2 internals.
"""
expected_behaviors = {
"RTX 40XX (Ampere/Ada)": "int8_float16 (fastest with tensor cores)",
"RTX 50XX (Blackwell sm120)": "float16 (INT8 disabled by PR #1937)",
"CPU with AVX2": "int8 (quantized, fast)",
"CPU without AVX2": "float32 (fallback)",
}
# This is documentation, not a test
assert len(expected_behaviors) > 0
class TestBackwardsCompatibility:
"""Tests for backwards compatibility with explicit compute_type."""
def test_explicit_compute_type_still_works(self):
"""Test that explicit compute_type values are still respected."""
# When users explicitly set compute_type, it should be used
# The "auto" is only the default from resolver
from whisperjav.config.resolver_v3 import _get_compute_type_for_device
# Resolver returns "auto" for CTranslate2 providers
result = _get_compute_type_for_device("cuda", "faster_whisper")
assert result == "auto"
# But ASR modules accept explicit overrides via model_config
# This is tested via the actual code path:
# model_config.get("compute_type", "auto")
# If user provides {"compute_type": "int8"}, that value is used
# =============================================================================
# CLI Device/Compute-Type Override Tests
# =============================================================================
class TestCLIDeviceOverride:
"""Tests for --device and --compute-type CLI argument flow."""
@pytest.fixture
def mock_registries(self):
"""Mock component registries for testing."""
with patch('whisperjav.config.resolver_v3.get_asr_registry') as mock_asr:
with patch('whisperjav.config.resolver_v3.get_vad_registry') as mock_vad:
# Setup mock ASR component
mock_component = MagicMock()
mock_component.provider = "faster_whisper"
mock_component.model_id = "large-v3"
mock_component.supported_tasks = ["transcribe"]
mock_preset = MagicMock()
mock_preset.model_dump.return_value = {"language": "ja", "task": "transcribe"}
mock_component.get_preset.return_value = mock_preset
mock_asr.return_value = {"faster_whisper": mock_component}
mock_vad.return_value = {}
yield mock_asr, mock_vad
def test_device_override_cuda(self, mock_registries):
"""Test that explicit device='cuda' overrides auto-detection."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cpu" # Would auto-detect CPU
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
device="cuda", # Override to CUDA
)
assert config["model"]["device"] == "cuda"
# get_best_device should NOT be called when device is explicitly provided
# (Actually it's still called for safety, but result is ignored)
def test_device_override_cpu(self, mock_registries):
"""Test that explicit device='cpu' overrides auto-detection."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda" # Would auto-detect CUDA
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
device="cpu", # Override to CPU
)
assert config["model"]["device"] == "cpu"
def test_device_auto_uses_detection(self, mock_registries):
"""Test that device='auto' uses auto-detection."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
device="auto", # Explicit auto
)
assert config["model"]["device"] == "cuda"
mock_device.assert_called_once()
def test_device_none_uses_detection(self, mock_registries):
"""Test that device=None (default) uses auto-detection."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cpu"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
# device not specified = None
)
assert config["model"]["device"] == "cpu"
mock_device.assert_called_once()
def test_compute_type_override_int8(self, mock_registries):
"""Test that explicit compute_type='int8' overrides auto."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
compute_type="int8", # Override
)
assert config["model"]["compute_type"] == "int8"
def test_compute_type_override_float16(self, mock_registries):
"""Test that explicit compute_type='float16' overrides auto."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
compute_type="float16",
)
assert config["model"]["compute_type"] == "float16"
def test_compute_type_override_int8_float16(self, mock_registries):
"""Test that explicit compute_type='int8_float16' works."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
compute_type="int8_float16",
)
assert config["model"]["compute_type"] == "int8_float16"
def test_compute_type_auto_uses_provider_default(self, mock_registries):
"""Test that compute_type='auto' uses provider-specific default."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
compute_type="auto", # Explicit auto
)
# CTranslate2 provider should get "auto"
assert config["model"]["compute_type"] == "auto"
def test_compute_type_none_uses_provider_default(self, mock_registries):
"""Test that compute_type=None uses provider-specific default."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda"
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
# compute_type not specified = None
)
assert config["model"]["compute_type"] == "auto"
def test_combined_device_and_compute_type_override(self, mock_registries):
"""Test that both device and compute_type can be overridden together."""
with patch('whisperjav.config.resolver_v3.get_best_device') as mock_device:
mock_device.return_value = "cuda" # Would detect CUDA
from whisperjav.config.resolver_v3 import resolve_config_v3
config = resolve_config_v3(
asr="faster_whisper",
vad="none",
device="cpu", # Force CPU
compute_type="float32", # Force float32
)
assert config["model"]["device"] == "cpu"
assert config["model"]["compute_type"] == "float32"
class TestLegacyPipelineDeviceOverride:
"""Tests for device/compute_type override through legacy.py."""
@pytest.fixture
def mock_resolve_v3(self):
"""Mock resolve_config_v3 to verify parameters passed."""
with patch('whisperjav.config.legacy.resolve_config_v3') as mock:
# Return a minimal valid config
mock.return_value = {
'asr_name': 'faster_whisper',
'vad_name': 'none',
'sensitivity_name': 'balanced',
'task': 'transcribe',
'language': 'ja',
'model': {
'provider': 'faster_whisper',
'model_name': 'large-v3',
'device': 'cuda',
'compute_type': 'auto',
'supported_tasks': ['transcribe']
},
'params': {'asr': {}, 'vad': {}},
'features': {},
}
yield mock
def test_resolve_legacy_pipeline_passes_device(self, mock_resolve_v3):
"""Test that resolve_legacy_pipeline passes device parameter."""
from whisperjav.config.legacy import resolve_legacy_pipeline
resolve_legacy_pipeline(
pipeline_name="balanced",
sensitivity="aggressive",
device="cpu",
)
# Verify resolve_config_v3 was called with device parameter
mock_resolve_v3.assert_called_once()
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('device') == "cpu"
def test_resolve_legacy_pipeline_passes_compute_type(self, mock_resolve_v3):
"""Test that resolve_legacy_pipeline passes compute_type parameter."""
from whisperjav.config.legacy import resolve_legacy_pipeline
resolve_legacy_pipeline(
pipeline_name="balanced",
sensitivity="balanced",
compute_type="int8_float16",
)
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('compute_type') == "int8_float16"
def test_resolve_legacy_pipeline_passes_both(self, mock_resolve_v3):
"""Test that resolve_legacy_pipeline passes both device and compute_type."""
from whisperjav.config.legacy import resolve_legacy_pipeline
resolve_legacy_pipeline(
pipeline_name="faster",
device="cuda",
compute_type="float16",
)
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('device') == "cuda"
assert call_kwargs.get('compute_type') == "float16"
def test_resolve_legacy_pipeline_none_defaults(self, mock_resolve_v3):
"""Test that resolve_legacy_pipeline passes None when not specified."""
from whisperjav.config.legacy import resolve_legacy_pipeline
resolve_legacy_pipeline(
pipeline_name="balanced",
# device and compute_type not specified
)
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('device') is None
assert call_kwargs.get('compute_type') is None
class TestEnsembleConfigDeviceOverride:
"""Tests for device/compute_type override through ensemble config."""
@pytest.fixture
def mock_resolve_v3(self):
"""Mock resolve_config_v3 for ensemble config tests."""
with patch('whisperjav.config.legacy.resolve_config_v3') as mock:
mock.return_value = {
'asr_name': 'faster_whisper',
'vad_name': 'none',
'sensitivity_name': 'balanced',
'task': 'transcribe',
'language': 'ja',
'model': {
'provider': 'faster_whisper',
'model_name': 'large-v3',
'device': 'cuda',
'compute_type': 'auto',
'supported_tasks': ['transcribe']
},
'params': {'asr': {}, 'vad': {}},
'features': {},
}
yield mock
def test_resolve_ensemble_config_passes_device(self, mock_resolve_v3):
"""Test that resolve_ensemble_config passes device parameter."""
from whisperjav.config.legacy import resolve_ensemble_config
resolve_ensemble_config(
asr="faster_whisper",
device="cpu",
)
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('device') == "cpu"
def test_resolve_ensemble_config_passes_compute_type(self, mock_resolve_v3):
"""Test that resolve_ensemble_config passes compute_type parameter."""
from whisperjav.config.legacy import resolve_ensemble_config
resolve_ensemble_config(
asr="faster_whisper",
compute_type="int8",
)
call_kwargs = mock_resolve_v3.call_args[1]
assert call_kwargs.get('compute_type') == "int8"
class TestCLIArgumentParsing:
"""Tests for CLI argument parsing in main.py."""
def test_device_argument_choices(self):
"""Test that --device accepts valid choices."""
from whisperjav.main import parse_arguments
import sys
# Test with valid choices
for device in ["auto", "cuda", "cpu"]:
with patch.object(sys, 'argv', ['whisperjav', 'test.mp4', f'--device={device}']):
args = parse_arguments()
assert args.device == device
def test_compute_type_argument_choices(self):
"""Test that --compute-type accepts valid choices."""
from whisperjav.main import parse_arguments
import sys
valid_types = ["auto", "float16", "float32", "int8", "int8_float16", "int8_float32"]
for compute_type in valid_types:
with patch.object(sys, 'argv', ['whisperjav', 'test.mp4', f'--compute-type={compute_type}']):
args = parse_arguments()
assert args.compute_type == compute_type
def test_device_default_is_none(self):
"""Test that --device defaults to None (auto-detect)."""
from whisperjav.main import parse_arguments
import sys
with patch.object(sys, 'argv', ['whisperjav', 'test.mp4']):
args = parse_arguments()
assert args.device is None
def test_compute_type_default_is_none(self):
"""Test that --compute-type defaults to None (auto)."""
from whisperjav.main import parse_arguments
import sys
with patch.object(sys, 'argv', ['whisperjav', 'test.mp4']):
args = parse_arguments()
assert args.compute_type is None
if __name__ == "__main__":
pytest.main([__file__, "-v"])

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@ -0,0 +1,661 @@
#!/usr/bin/env python3
"""
Unit tests for WhisperJAV GUI Update Check API.
Tests the update check modal feature including:
- check_for_updates() API method
- dismiss_update_notification() API method
- get_dismissed_update() API method
- open_url() API method
- start_update() API method
Run with: pytest tests/test_update_check_api.py -v
"""
import json
import os
import pytest
import subprocess
import sys
import tempfile
from datetime import datetime, timedelta
from pathlib import Path
from typing import NamedTuple
from unittest.mock import patch, MagicMock, Mock
# =============================================================================
# Mock Classes to simulate version_checker types
# =============================================================================
class MockVersionInfo(NamedTuple):
"""Mock VersionInfo to avoid importing actual module."""
version: str
release_url: str
release_notes: str
published_at: str
is_prerelease: bool
installer_url: str = None
class MockUpdateCheckResult(NamedTuple):
"""Mock UpdateCheckResult to avoid importing actual module."""
update_available: bool
current_version: str
latest_version: str
version_info: MockVersionInfo = None
from_cache: bool = False
error: str = None
# =============================================================================
# Fixtures
# =============================================================================
@pytest.fixture
def temp_cache_dir(tmp_path):
"""Create a temporary cache directory."""
cache_dir = tmp_path / ".whisperjav_cache"
cache_dir.mkdir()
return cache_dir
@pytest.fixture
def mock_api(tmp_path, monkeypatch):
"""
Create a mock API instance with patched dependencies.
This patches the environment to use temp directories and
avoids importing heavy dependencies like webview.
"""
# Patch LOCALAPPDATA to use temp directory
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
# Create a minimal API class for testing
# We import just the methods we need to test
from whisperjav.webview_gui.api import WhisperJAVAPI
# Create API instance (may need window mock)
with patch('webview.create_window'):
api = WhisperJAVAPI.__new__(WhisperJAVAPI)
api.window = None
api._process = None
api._output_queue = None
api._log_thread = None
api._status = {"running": False}
return api
@pytest.fixture
def sample_update_result():
"""Sample update check result with update available."""
return MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="1.8.0",
version_info=MockVersionInfo(
version="1.8.0",
release_url="https://github.com/meizhong986/whisperjav/releases/tag/v1.8.0",
release_notes="## What's New\n- Feature A\n- Feature B\n- Bug fixes",
published_at="2025-01-15T10:00:00Z",
is_prerelease=False,
installer_url="https://github.com/meizhong986/whisperjav/releases/download/v1.8.0/WhisperJAV-1.8.0-Windows-x86_64.exe"
),
from_cache=False,
error=None
)
@pytest.fixture
def sample_no_update_result():
"""Sample update check result with no update available."""
return MockUpdateCheckResult(
update_available=False,
current_version="1.8.0",
latest_version="1.8.0",
version_info=None,
from_cache=True,
error=None
)
@pytest.fixture
def sample_error_result():
"""Sample update check result with error."""
return MockUpdateCheckResult(
update_available=False,
current_version="1.7.5",
latest_version=None,
version_info=None,
from_cache=False,
error="Network error: Unable to connect to GitHub"
)
# =============================================================================
# check_for_updates() Tests
# =============================================================================
class TestCheckForUpdates:
"""Tests for check_for_updates() API method."""
def test_update_available_returns_correct_structure(self, mock_api, sample_update_result):
"""Test that update available response has correct structure."""
with patch('whisperjav.version_checker.check_for_updates', return_value=sample_update_result):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='minor'):
result = mock_api.check_for_updates(force=True)
assert result["success"] is True
assert result["update_available"] is True
assert result["current_version"] == "1.7.5"
assert result["latest_version"] == "1.8.0"
assert result["notification_level"] == "minor"
assert result["release_url"] is not None
assert result["release_notes"] is not None
assert result["from_cache"] is False
def test_no_update_available(self, mock_api, sample_no_update_result):
"""Test response when no update is available."""
with patch('whisperjav.version_checker.check_for_updates', return_value=sample_no_update_result):
result = mock_api.check_for_updates(force=False)
assert result["success"] is True
assert result["update_available"] is False
assert result["current_version"] == "1.8.0"
assert result["from_cache"] is True
# No notification_level, release_url, release_notes when no update
assert "notification_level" not in result or result.get("notification_level") is None
def test_error_handling(self, mock_api, sample_error_result):
"""Test response when update check fails."""
with patch('whisperjav.version_checker.check_for_updates', return_value=sample_error_result):
result = mock_api.check_for_updates(force=True)
assert result["success"] is True # Method succeeded, but check had error
assert result["update_available"] is False
assert "error" in result
assert "Network error" in result["error"]
def test_exception_handling(self, mock_api):
"""Test that exceptions are caught and returned as error."""
with patch('whisperjav.version_checker.check_for_updates', side_effect=Exception("Import failed")):
result = mock_api.check_for_updates(force=True)
assert result["success"] is False
assert "Import failed" in result["error"]
assert result["update_available"] is False
def test_force_bypasses_cache(self, mock_api, sample_update_result):
"""Test that force=True bypasses cache."""
mock_check = Mock(return_value=sample_update_result)
with patch('whisperjav.version_checker.check_for_updates', mock_check):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='minor'):
mock_api.check_for_updates(force=True)
# Verify force=True was passed
mock_check.assert_called_once_with(force=True)
def test_release_notes_truncation(self, mock_api):
"""Test that long release notes are truncated."""
long_notes = "A" * 1000 # 1000 character release notes
result_with_long_notes = MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="1.8.0",
version_info=MockVersionInfo(
version="1.8.0",
release_url="https://example.com",
release_notes=long_notes,
published_at="2025-01-15T10:00:00Z",
is_prerelease=False
),
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=result_with_long_notes):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='minor'):
result = mock_api.check_for_updates(force=True)
# Release notes should be truncated to 500 chars
assert len(result["release_notes"]) <= 500
class TestNotificationLevels:
"""Tests for notification level classification."""
@pytest.mark.parametrize("current,latest,expected_level", [
("1.7.5", "1.7.6", "patch"), # Patch update
("1.7.5", "1.8.0", "minor"), # Minor update
("1.7.5", "2.0.0", "major"), # Major update
("1.7.5", "1.7.5", "none"), # No update
])
def test_notification_level_classification(self, mock_api, current, latest, expected_level):
"""Test that notification levels are correctly classified."""
result = MockUpdateCheckResult(
update_available=(current != latest),
current_version=current,
latest_version=latest,
version_info=MockVersionInfo(
version=latest,
release_url="https://example.com",
release_notes="Test notes",
published_at="2025-01-15T10:00:00Z",
is_prerelease=False
) if current != latest else None,
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=result):
with patch('whisperjav.version_checker.get_update_notification_level', return_value=expected_level):
response = mock_api.check_for_updates(force=True)
if current != latest:
assert response.get("notification_level") == expected_level
# =============================================================================
# dismiss_update_notification() Tests
# =============================================================================
class TestDismissUpdateNotification:
"""Tests for dismiss_update_notification() API method."""
def test_dismiss_creates_file(self, mock_api, tmp_path, monkeypatch):
"""Test that dismissing creates a dismissal file."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
result = mock_api.dismiss_update_notification("1.8.0")
assert result["success"] is True
# Check file was created
dismissal_file = tmp_path / '.whisperjav_cache' / 'update_dismissed.json'
assert dismissal_file.exists()
# Verify contents
with open(dismissal_file) as f:
data = json.load(f)
assert data["version"] == "1.8.0"
assert "dismissed_at" in data
def test_dismiss_overwrites_previous(self, mock_api, tmp_path, monkeypatch):
"""Test that new dismissal overwrites previous."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
# First dismissal
mock_api.dismiss_update_notification("1.7.6")
# Second dismissal
mock_api.dismiss_update_notification("1.8.0")
# Check only latest version is stored
dismissal_file = tmp_path / '.whisperjav_cache' / 'update_dismissed.json'
with open(dismissal_file) as f:
data = json.load(f)
assert data["version"] == "1.8.0"
def test_dismiss_error_handling(self, mock_api, monkeypatch):
"""Test error handling when dismissal fails."""
# Mock the file open to raise an error
with patch('builtins.open', side_effect=PermissionError("Access denied")):
with patch('pathlib.Path.mkdir'): # Don't fail on mkdir
result = mock_api.dismiss_update_notification("1.8.0")
# Should return error, not crash
assert result["success"] is False
assert "error" in result
# =============================================================================
# get_dismissed_update() Tests
# =============================================================================
class TestGetDismissedUpdate:
"""Tests for get_dismissed_update() API method."""
def test_get_dismissed_when_exists(self, mock_api, tmp_path, monkeypatch):
"""Test retrieving dismissed update info."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
# Create dismissal first
mock_api.dismiss_update_notification("1.8.0")
result = mock_api.get_dismissed_update()
assert result["success"] is True
assert result["dismissed"]["version"] == "1.8.0"
assert "dismissed_at" in result["dismissed"]
def test_get_dismissed_when_not_exists(self, mock_api, tmp_path, monkeypatch):
"""Test when no dismissal exists."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
# Don't create any dismissal file
result = mock_api.get_dismissed_update()
assert result["success"] is True
assert result["dismissed"] is None
# =============================================================================
# open_url() Tests
# =============================================================================
class TestOpenUrl:
"""Tests for open_url() API method."""
def test_open_url_success(self, mock_api):
"""Test successful URL opening."""
with patch('webbrowser.open', return_value=True) as mock_open:
result = mock_api.open_url("https://github.com/meizhong986/WhisperJAV/releases")
assert result["success"] is True
mock_open.assert_called_once_with("https://github.com/meizhong986/WhisperJAV/releases")
def test_open_url_github_releases(self, mock_api):
"""Test opening GitHub releases page specifically."""
with patch('webbrowser.open', return_value=True) as mock_open:
result = mock_api.open_url("https://github.com/meizhong986/WhisperJAV/releases")
assert result["success"] is True
# Verify the exact URL used for major updates
mock_open.assert_called_with("https://github.com/meizhong986/WhisperJAV/releases")
def test_open_url_error_handling(self, mock_api):
"""Test error handling when browser fails to open."""
with patch('webbrowser.open', side_effect=Exception("No browser available")):
result = mock_api.open_url("https://example.com")
assert result["success"] is False
assert "No browser available" in result["error"]
def test_open_url_various_urls(self, mock_api):
"""Test opening various URL types."""
urls = [
"https://github.com/meizhong986/WhisperJAV",
"https://github.com/meizhong986/WhisperJAV/releases/tag/v1.8.0",
"https://github.com/meizhong986/WhisperJAV/issues",
]
for url in urls:
with patch('webbrowser.open', return_value=True) as mock_open:
result = mock_api.open_url(url)
assert result["success"] is True
mock_open.assert_called_with(url)
# =============================================================================
# start_update() Tests
# =============================================================================
class TestStartUpdate:
"""Tests for start_update() API method."""
def test_start_update_spawns_wrapper(self, mock_api, monkeypatch):
"""Test that start_update spawns the update wrapper process."""
mock_popen = MagicMock()
with patch('subprocess.Popen', mock_popen):
with patch.object(Path, 'exists', return_value=True):
result = mock_api.start_update(wheel_only=False)
assert result["success"] is True
assert result["should_exit"] is True
assert "Update process started" in result["message"]
# Verify Popen was called
mock_popen.assert_called_once()
call_args = mock_popen.call_args
cmd = call_args[0][0]
# Should include update_wrapper module
assert "-m" in cmd
assert "whisperjav.update_wrapper" in cmd
def test_start_update_with_wheel_only(self, mock_api):
"""Test start_update with wheel_only=True."""
mock_popen = MagicMock()
with patch('subprocess.Popen', mock_popen):
with patch.object(Path, 'exists', return_value=True):
result = mock_api.start_update(wheel_only=True)
assert result["success"] is True
# Verify --wheel-only flag is present
call_args = mock_popen.call_args
cmd = call_args[0][0]
assert "--wheel-only" in cmd
def test_start_update_includes_pid(self, mock_api):
"""Test that start_update passes current PID to wrapper."""
mock_popen = MagicMock()
current_pid = os.getpid()
with patch('subprocess.Popen', mock_popen):
with patch.object(Path, 'exists', return_value=True):
mock_api.start_update()
call_args = mock_popen.call_args
cmd = call_args[0][0]
# Should include --pid argument
assert "--pid" in cmd
pid_idx = cmd.index("--pid")
assert cmd[pid_idx + 1] == str(current_pid)
def test_start_update_error_handling(self, mock_api):
"""Test error handling when spawn fails."""
with patch('subprocess.Popen', side_effect=Exception("Spawn failed")):
with patch.object(Path, 'exists', return_value=True):
result = mock_api.start_update()
assert result["success"] is False
assert "Spawn failed" in result["error"]
assert result["should_exit"] is False
@pytest.mark.skipif(sys.platform != "win32", reason="Windows-specific test")
def test_start_update_windows_detached(self, mock_api):
"""Test that Windows uses DETACHED_PROCESS flag."""
mock_popen = MagicMock()
with patch('subprocess.Popen', mock_popen):
with patch.object(Path, 'exists', return_value=True):
mock_api.start_update()
call_kwargs = mock_popen.call_args[1]
# Should use Windows-specific creation flags
assert "creationflags" in call_kwargs
expected_flags = subprocess.DETACHED_PROCESS | subprocess.CREATE_NEW_PROCESS_GROUP
assert call_kwargs["creationflags"] == expected_flags
# =============================================================================
# Integration Tests
# =============================================================================
class TestUpdateCheckIntegration:
"""Integration tests for the complete update check flow."""
def test_full_update_check_flow(self, mock_api, sample_update_result, tmp_path, monkeypatch):
"""Test complete flow: check -> show update -> user action."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
# Step 1: Check for updates
with patch('whisperjav.version_checker.check_for_updates', return_value=sample_update_result):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='minor'):
check_result = mock_api.check_for_updates(force=True)
assert check_result["update_available"] is True
assert check_result["notification_level"] == "minor"
# Step 2: User decides to dismiss
dismiss_result = mock_api.dismiss_update_notification(check_result["latest_version"])
assert dismiss_result["success"] is True
# Step 3: Verify dismissal was recorded
dismissed = mock_api.get_dismissed_update()
assert dismissed["dismissed"]["version"] == "1.8.0"
def test_major_update_triggers_download(self, mock_api, tmp_path, monkeypatch):
"""Test that major updates trigger download page instead of update."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
major_update = MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="2.0.0",
version_info=MockVersionInfo(
version="2.0.0",
release_url="https://github.com/meizhong986/whisperjav/releases/tag/v2.0.0",
release_notes="## Breaking Changes\n- New architecture",
published_at="2025-01-15T10:00:00Z",
is_prerelease=False
),
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=major_update):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='major'):
result = mock_api.check_for_updates(force=True)
# For major updates, frontend should use open_url() instead of start_update()
assert result["notification_level"] == "major"
# Verify open_url works for this case
with patch('webbrowser.open', return_value=True) as mock_open:
url_result = mock_api.open_url("https://github.com/meizhong986/WhisperJAV/releases")
assert url_result["success"] is True
def test_patch_update_triggers_inline_update(self, mock_api, tmp_path, monkeypatch):
"""Test that patch updates trigger inline update."""
monkeypatch.setenv('LOCALAPPDATA', str(tmp_path))
patch_update = MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="1.7.6",
version_info=MockVersionInfo(
version="1.7.6",
release_url="https://github.com/meizhong986/whisperjav/releases/tag/v1.7.6",
release_notes="## Bug Fixes\n- Fixed MPS fallback",
published_at="2025-01-15T10:00:00Z",
is_prerelease=False
),
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=patch_update):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='patch'):
result = mock_api.check_for_updates(force=True)
# For patch updates, frontend should use start_update()
assert result["notification_level"] == "patch"
# Verify start_update works
mock_popen = MagicMock()
with patch('subprocess.Popen', mock_popen):
with patch.object(Path, 'exists', return_value=True):
update_result = mock_api.start_update(wheel_only=False)
assert update_result["success"] is True
assert update_result["should_exit"] is True
# =============================================================================
# Edge Cases and Error Handling
# =============================================================================
class TestEdgeCases:
"""Tests for edge cases and error conditions."""
def test_network_timeout_handling(self, mock_api):
"""Test handling of network timeout."""
timeout_result = MockUpdateCheckResult(
update_available=False,
current_version="1.7.5",
latest_version=None,
version_info=None,
from_cache=False,
error="Connection timed out after 10 seconds"
)
with patch('whisperjav.version_checker.check_for_updates', return_value=timeout_result):
result = mock_api.check_for_updates(force=True)
assert result["update_available"] is False
assert "timed out" in result["error"]
def test_invalid_version_format(self, mock_api):
"""Test handling of invalid version format."""
invalid_result = MockUpdateCheckResult(
update_available=False,
current_version="unknown",
latest_version=None,
version_info=None,
from_cache=False,
error="Could not parse version"
)
with patch('whisperjav.version_checker.check_for_updates', return_value=invalid_result):
result = mock_api.check_for_updates(force=True)
assert result["success"] is True # API call succeeded
assert "error" in result
def test_prerelease_handling(self, mock_api):
"""Test that prerelease versions are identified."""
prerelease = MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="1.8.0-rc1",
version_info=MockVersionInfo(
version="1.8.0-rc1",
release_url="https://example.com",
release_notes="Release candidate",
published_at="2025-01-15T10:00:00Z",
is_prerelease=True
),
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=prerelease):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='minor'):
result = mock_api.check_for_updates(force=True)
assert result["is_prerelease"] is True
def test_empty_release_notes(self, mock_api):
"""Test handling of empty release notes."""
empty_notes = MockUpdateCheckResult(
update_available=True,
current_version="1.7.5",
latest_version="1.7.6",
version_info=MockVersionInfo(
version="1.7.6",
release_url="https://example.com",
release_notes="",
published_at="2025-01-15T10:00:00Z",
is_prerelease=False
),
from_cache=False,
error=None
)
with patch('whisperjav.version_checker.check_for_updates', return_value=empty_notes):
with patch('whisperjav.version_checker.get_update_notification_level', return_value='patch'):
result = mock_api.check_for_updates(force=True)
assert result["release_notes"] == ""
if __name__ == "__main__":
pytest.main([__file__, "-v"])

View File

@ -0,0 +1,517 @@
#!/usr/bin/env python3
"""
Frontend validation tests for WhisperJAV GUI Update Check feature.
Tests the HTML structure, CSS selectors, and JavaScript syntax for the
"Check for Updates" modal and menu integration.
These tests validate:
- Required HTML elements exist with correct IDs
- CSS classes are properly defined
- JavaScript UpdateCheckManager has required methods
- Event handlers reference existing elements
Run with: pytest tests/test_update_check_frontend.py -v
"""
import os
import re
import pytest
from pathlib import Path
# =============================================================================
# Fixtures
# =============================================================================
@pytest.fixture
def assets_dir():
"""Get the path to the webview_gui assets directory."""
repo_root = Path(__file__).parent.parent
return repo_root / "whisperjav" / "webview_gui" / "assets"
@pytest.fixture
def index_html(assets_dir):
"""Load the index.html content."""
html_path = assets_dir / "index.html"
assert html_path.exists(), f"index.html not found at {html_path}"
return html_path.read_text(encoding="utf-8")
@pytest.fixture
def app_js(assets_dir):
"""Load the app.js content."""
js_path = assets_dir / "app.js"
assert js_path.exists(), f"app.js not found at {js_path}"
return js_path.read_text(encoding="utf-8")
@pytest.fixture
def style_css(assets_dir):
"""Load the style.css content."""
css_path = assets_dir / "style.css"
assert css_path.exists(), f"style.css not found at {css_path}"
return css_path.read_text(encoding="utf-8")
# =============================================================================
# HTML Structure Tests
# =============================================================================
class TestHtmlStructure:
"""Tests for required HTML elements in index.html."""
def test_theme_menu_exists(self, index_html):
"""Test that theme menu container exists."""
assert 'id="themeMenu"' in index_html
def test_check_updates_button_exists(self, index_html):
"""Test that Check for Updates button exists."""
assert 'id="checkUpdatesBtn"' in index_html
def test_check_updates_button_in_theme_menu(self, index_html):
"""Test that button is inside theme menu."""
# Extract theme menu content
menu_match = re.search(r'id="themeMenu"[^>]*>(.*?)</div>\s*</div>', index_html, re.DOTALL)
assert menu_match, "Could not find themeMenu content"
menu_content = menu_match.group(1)
assert 'checkUpdatesBtn' in menu_content
def test_theme_menu_divider_exists(self, index_html):
"""Test that menu divider exists before update check option."""
assert 'class="theme-menu-divider"' in index_html
def test_update_check_icon_exists(self, index_html):
"""Test that update icon span exists."""
assert 'class="update-check-icon"' in index_html
def test_modal_overlay_exists(self, index_html):
"""Test that update check modal overlay exists."""
assert 'id="updateCheckModal"' in index_html
def test_modal_close_button_exists(self, index_html):
"""Test that modal close button exists."""
assert 'id="updateCheckModalClose"' in index_html
def test_loading_state_exists(self, index_html):
"""Test that loading state container exists."""
assert 'id="updateCheckLoading"' in index_html
def test_result_state_exists(self, index_html):
"""Test that result state container exists."""
assert 'id="updateCheckResult"' in index_html
def test_error_state_exists(self, index_html):
"""Test that error state container exists."""
assert 'id="updateCheckError"' in index_html
def test_version_elements_exist(self, index_html):
"""Test that version display elements exist."""
required_ids = [
"updateCurrentVersion",
"updateLatestVersion",
"updateTypeBadge",
]
for element_id in required_ids:
assert f'id="{element_id}"' in index_html, f"Missing element: {element_id}"
def test_up_to_date_message_exists(self, index_html):
"""Test that up-to-date message exists."""
assert 'id="updateUpToDate"' in index_html
def test_update_available_section_exists(self, index_html):
"""Test that update available section exists."""
assert 'id="updateAvailableSection"' in index_html
def test_release_notes_container_exists(self, index_html):
"""Test that release notes container exists."""
assert 'id="updateReleaseNotes"' in index_html
def test_action_buttons_exist(self, index_html):
"""Test that action buttons exist."""
required_buttons = [
"updateCheckLater",
"updateCheckNow",
"updateCheckDownload",
]
for button_id in required_buttons:
assert f'id="{button_id}"' in index_html, f"Missing button: {button_id}"
def test_modal_has_correct_class(self, index_html):
"""Test that modal uses correct overlay class."""
assert 'class="modal-overlay" id="updateCheckModal"' in index_html or \
'id="updateCheckModal" class="modal-overlay"' in index_html
# =============================================================================
# CSS Validation Tests
# =============================================================================
class TestCssClasses:
"""Tests for required CSS classes in style.css."""
def test_theme_menu_divider_style(self, style_css):
"""Test that theme-menu-divider class is defined."""
assert ".theme-menu-divider" in style_css
def test_update_check_option_style(self, style_css):
"""Test that update-check-option class is defined."""
assert ".update-check-option" in style_css
def test_update_check_icon_style(self, style_css):
"""Test that update-check-icon class is defined."""
assert ".update-check-icon" in style_css
def test_update_check_loading_style(self, style_css):
"""Test that update-check-loading class is defined."""
assert ".update-check-loading" in style_css
def test_spinner_style(self, style_css):
"""Test that spinner class is defined."""
assert ".spinner" in style_css or ".update-check-loading .spinner" in style_css
def test_version_info_styles(self, style_css):
"""Test that version info styles are defined."""
assert ".version-info" in style_css
assert ".version-row" in style_css
def test_update_badge_styles(self, style_css):
"""Test that update badge styles are defined."""
assert ".update-badge" in style_css
assert ".update-badge.patch" in style_css
assert ".update-badge.minor" in style_css
assert ".update-badge.major" in style_css
assert ".update-badge.critical" in style_css
def test_up_to_date_style(self, style_css):
"""Test that up-to-date message style is defined."""
assert ".update-up-to-date" in style_css
def test_release_notes_styles(self, style_css):
"""Test that release notes styles are defined."""
assert ".release-notes-details" in style_css
assert ".release-notes-content" in style_css
def test_update_check_error_style(self, style_css):
"""Test that error state style is defined."""
assert ".update-check-error" in style_css
def test_spin_animation_exists(self, style_css):
"""Test that spin keyframe animation exists."""
assert "@keyframes spin" in style_css
class TestCssColorScheme:
"""Tests for consistent color scheme in badge styles."""
def test_patch_badge_color(self, style_css):
"""Test that patch badge has green color."""
# Find the patch badge rule
match = re.search(r'\.update-badge\.patch\s*\{([^}]+)\}', style_css)
assert match, "Patch badge style not found"
assert "#28a745" in match.group(1) or "green" in match.group(1).lower()
def test_minor_badge_color(self, style_css):
"""Test that minor badge has blue color."""
match = re.search(r'\.update-badge\.minor\s*\{([^}]+)\}', style_css)
assert match, "Minor badge style not found"
assert "#17a2b8" in match.group(1) or "blue" in match.group(1).lower()
def test_major_badge_color(self, style_css):
"""Test that major badge has orange color."""
match = re.search(r'\.update-badge\.major\s*\{([^}]+)\}', style_css)
assert match, "Major badge style not found"
assert "#fd7e14" in match.group(1) or "orange" in match.group(1).lower()
def test_critical_badge_color(self, style_css):
"""Test that critical badge has red color."""
match = re.search(r'\.update-badge\.critical\s*\{([^}]+)\}', style_css)
assert match, "Critical badge style not found"
assert "#dc3545" in match.group(1) or "red" in match.group(1).lower()
# =============================================================================
# JavaScript Structure Tests
# =============================================================================
class TestJavaScriptStructure:
"""Tests for JavaScript UpdateCheckManager in app.js."""
def test_update_check_manager_exists(self, app_js):
"""Test that UpdateCheckManager object is defined."""
assert "const UpdateCheckManager" in app_js or "var UpdateCheckManager" in app_js
def test_init_method_exists(self, app_js):
"""Test that init() method exists."""
# Find UpdateCheckManager definition
manager_match = re.search(
r'const UpdateCheckManager\s*=\s*\{(.*?)\n\};',
app_js,
re.DOTALL
)
assert manager_match, "UpdateCheckManager not found"
manager_body = manager_match.group(1)
assert "init()" in manager_body or "init:" in manager_body
def test_show_method_exists(self, app_js):
"""Test that show() method exists."""
assert re.search(r'(async\s+)?show\s*\(\s*\)', app_js)
def test_close_method_exists(self, app_js):
"""Test that close() method exists."""
assert "close()" in app_js or "close:" in app_js
def test_show_loading_method_exists(self, app_js):
"""Test that showLoading() method exists."""
assert "showLoading()" in app_js or "showLoading:" in app_js
def test_show_result_method_exists(self, app_js):
"""Test that showResult() method exists."""
assert "showResult(" in app_js
def test_show_error_method_exists(self, app_js):
"""Test that showError() method exists."""
assert "showError(" in app_js
def test_start_update_method_exists(self, app_js):
"""Test that startUpdate() method exists."""
assert "startUpdate()" in app_js or "startUpdate:" in app_js
def test_open_download_page_method_exists(self, app_js):
"""Test that openDownloadPage() method exists."""
assert "openDownloadPage()" in app_js or "openDownloadPage:" in app_js
def test_parse_markdown_method_exists(self, app_js):
"""Test that parseMarkdown() method exists."""
assert "parseMarkdown(" in app_js
def test_init_called_on_dom_ready(self, app_js):
"""Test that UpdateCheckManager.init() is called on DOMContentLoaded."""
# Find the DOMContentLoaded handler
dom_ready_match = re.search(
r"DOMContentLoaded.*?\{(.*?)\}\s*\)",
app_js,
re.DOTALL
)
assert dom_ready_match, "DOMContentLoaded handler not found"
handler_body = dom_ready_match.group(1)
assert "UpdateCheckManager.init()" in handler_body
class TestJavaScriptApiCalls:
"""Tests for correct API call usage in JavaScript."""
def test_check_for_updates_api_call(self, app_js):
"""Test that check_for_updates API is called correctly."""
# Should call with force=true for modal
assert "pywebview.api.check_for_updates" in app_js
assert "check_for_updates(true)" in app_js
def test_open_url_api_call(self, app_js):
"""Test that open_url API is called for download page."""
assert "pywebview.api.open_url" in app_js
# Should include GitHub releases URL
assert "github.com/meizhong986/WhisperJAV/releases" in app_js
def test_start_update_delegation(self, app_js):
"""Test that startUpdate delegates to UpdateManager."""
# Should call UpdateManager.startUpdate() not api.start_update directly
assert "UpdateManager.startUpdate()" in app_js
class TestJavaScriptEventHandlers:
"""Tests for event handler setup in JavaScript."""
def test_menu_button_click_handler(self, app_js):
"""Test that menu button has click handler."""
assert "checkUpdatesBtn" in app_js
assert "addEventListener" in app_js
def test_modal_close_button_handler(self, app_js):
"""Test that modal close button has handler."""
assert "updateCheckModalClose" in app_js
def test_later_button_handler(self, app_js):
"""Test that Later button has handler."""
assert "updateCheckLater" in app_js
def test_update_now_button_handler(self, app_js):
"""Test that Update Now button has handler."""
assert "updateCheckNow" in app_js
def test_download_button_handler(self, app_js):
"""Test that Download button has handler."""
assert "updateCheckDownload" in app_js
def test_escape_key_handler(self, app_js):
"""Test that Escape key closes modal."""
assert "Escape" in app_js
def test_overlay_click_closes_modal(self, app_js):
"""Test that clicking overlay closes modal."""
# Should check if click target is the modal itself
assert "e.target === this.modal" in app_js or \
"event.target === this.modal" in app_js
class TestJavaScriptLogic:
"""Tests for JavaScript business logic."""
def test_major_update_shows_download_button(self, app_js):
"""Test that major updates show Download button."""
# Check for level === 'major' condition
assert "'major'" in app_js
assert "updateCheckDownload" in app_js
def test_patch_minor_show_update_button(self, app_js):
"""Test that patch/minor updates show Update Now button."""
assert "updateCheckNow" in app_js
def test_notification_level_badge_update(self, app_js):
"""Test that badge class is updated based on level."""
assert "update-badge" in app_js
assert "className" in app_js or "classList" in app_js
def test_version_display_formatting(self, app_js):
"""Test that versions are prefixed with 'v'."""
assert "'v' + result.current_version" in app_js or \
'"v" + result.current_version' in app_js
def test_up_to_date_display_logic(self, app_js):
"""Test that up-to-date message shows when no update."""
assert "updateUpToDate" in app_js
# Should show when update_available is false
assert "update_available" in app_js.lower() or "updateavailable" in app_js.lower()
# =============================================================================
# Theme Compatibility Tests
# =============================================================================
class TestThemeCompatibility:
"""Tests for theme file compatibility."""
@pytest.fixture
def theme_files(self, assets_dir):
"""Get all theme CSS files."""
return list(assets_dir.glob("style.*.css"))
def test_themes_import_base_styles(self, assets_dir):
"""Test that theme files import base style.css."""
theme_files = [
"style.google.css",
"style.carbon.css",
"style.primer.css",
]
for theme_file in theme_files:
theme_path = assets_dir / theme_file
if theme_path.exists():
content = theme_path.read_text(encoding="utf-8")
assert '@import url("style.css")' in content or \
"@import url('style.css')" in content, \
f"{theme_file} should import base styles"
def test_css_uses_variables(self, style_css):
"""Test that update check styles use CSS variables where appropriate."""
# Key elements should use CSS variables for theme compatibility
update_section_match = re.search(
r'/\* Update Check Modal \*/.*?(?=/\*|$)',
style_css,
re.DOTALL
)
if update_section_match:
update_css = update_section_match.group(0)
# Should use variables like var(--border-color)
assert "var(--" in update_css
# =============================================================================
# Accessibility Tests
# =============================================================================
class TestAccessibility:
"""Tests for accessibility features."""
def test_modal_close_has_aria_label(self, index_html):
"""Test that close button has aria-label."""
close_match = re.search(r'id="updateCheckModalClose"[^>]*>', index_html)
assert close_match, "Close button not found"
close_tag = close_match.group(0)
assert 'aria-label' in close_tag
def test_menu_items_have_role(self, index_html):
"""Test that menu items have proper role."""
# Check updates button should have role="menuitem"
assert 'id="checkUpdatesBtn"' in index_html
btn_match = re.search(r'id="checkUpdatesBtn"[^>]*>', index_html)
if btn_match:
btn_tag = btn_match.group(0)
assert 'role="menuitem"' in btn_tag
def test_buttons_have_labels(self, index_html):
"""Test that buttons have visible text or aria-label."""
# All action buttons should have text content
assert "Update Now" in index_html
assert "Download" in index_html
assert "Close" in index_html or "Later" in index_html
# =============================================================================
# Consistency Tests
# =============================================================================
class TestConsistency:
"""Tests for consistency between HTML, CSS, and JS."""
def test_html_ids_match_js_selectors(self, index_html, app_js):
"""Test that HTML element IDs match JavaScript selectors."""
html_ids = [
"updateCheckModal",
"updateCheckModalClose",
"checkUpdatesBtn",
"updateCheckLoading",
"updateCheckResult",
"updateCheckError",
"updateCurrentVersion",
"updateLatestVersion",
"updateTypeBadge",
"updateUpToDate",
"updateAvailableSection",
"updateReleaseNotes",
"updateCheckLater",
"updateCheckNow",
"updateCheckDownload",
]
for html_id in html_ids:
assert f'id="{html_id}"' in index_html, f"HTML missing id: {html_id}"
# JS should reference this ID
assert html_id in app_js, f"JS not referencing id: {html_id}"
def test_css_classes_match_html(self, index_html, style_css):
"""Test that CSS classes used in HTML are defined."""
html_classes = [
"theme-menu-divider",
"update-check-option",
"update-check-icon",
"update-check-loading",
"update-check-result",
"update-check-error",
"version-info",
"version-row",
"update-badge",
"update-up-to-date",
"release-notes-details",
"release-notes-content",
]
for css_class in html_classes:
# Check if class is used in HTML (may be part of multi-class declaration)
assert css_class in index_html, f"HTML should use class: {css_class}"
# Check if class is defined in CSS
assert f".{css_class}" in style_css, f"CSS should define class: {css_class}"
if __name__ == "__main__":
pytest.main([__file__, "-v"])

View File

@ -2,16 +2,16 @@
"""Version information for WhisperJAV."""
# PEP 440 compliant version for pip/wheel
__version__ = "1.7.4"
__version__ = "1.7.5"
# Human-readable version for display in UI
__version_display__ = "1.7.4"
__version_display__ = "1.7.5"
# Version metadata
__version_info__ = {
"major": 1,
"minor": 7,
"patch": 4,
"patch": 5,
"release": "",
"architecture": "v4.4"
}

View File

@ -102,7 +102,13 @@ class ASRComponent(ComponentBase):
supported_tasks: List[str] = ["transcribe"] # "transcribe", "translate"
compatible_vad: List[str] = [] # List of compatible VAD component names
# === Compute ===
# === Compute (Preferred Defaults) ===
# NOTE: These are "preferred" defaults for optimal performance.
# The resolver applies runtime device detection via get_best_device()
# and auto-selects compute_type based on device and provider:
# - CUDA → int8_float16 for CTranslate2, float16 for PyTorch
# - CPU → int8 for CTranslate2, float32 for PyTorch
# - MPS → float16 for PyTorch, falls back to CPU+int8 for CTranslate2
default_device: str = "cuda"
default_compute_type: str = "float16"

View File

@ -135,6 +135,8 @@ def resolve_legacy_pipeline(
sensitivity: str = "balanced",
task: str = "transcribe",
overrides: Optional[Dict[str, Any]] = None,
device: Optional[str] = None,
compute_type: Optional[str] = None,
) -> Dict[str, Any]:
"""
Resolve configuration from legacy pipeline name.
@ -146,12 +148,16 @@ def resolve_legacy_pipeline(
sensitivity: Sensitivity level
task: Task type
overrides: Parameter overrides
device: Device override (None/'auto' = auto-detect, 'cuda'/'cpu' = explicit)
compute_type: Compute type override (None/'auto' = provider-specific default)
Returns:
Resolved configuration dictionary.
Example:
>>> config = resolve_legacy_pipeline('balanced', 'aggressive')
>>> # With explicit hardware:
>>> config = resolve_legacy_pipeline('balanced', device='cuda', compute_type='int8_float16')
"""
if pipeline_name not in LEGACY_PIPELINES:
available = list(LEGACY_PIPELINES.keys())
@ -167,6 +173,8 @@ def resolve_legacy_pipeline(
task=task,
features=pipeline_def["features"],
overrides=overrides,
device=device,
compute_type=compute_type,
)
# Add legacy compatibility fields
@ -346,6 +354,8 @@ def resolve_ensemble_config(
task: str = "transcribe",
features: Optional[List[str]] = None,
overrides: Optional[Dict[str, Any]] = None,
device: Optional[str] = None,
compute_type: Optional[str] = None,
) -> Dict[str, Any]:
"""
Resolve configuration for ensemble mode (direct component specification).
@ -360,6 +370,8 @@ def resolve_ensemble_config(
features: List of feature names (e.g., ['auditok_scene_detection'])
overrides: Parameter overrides in flat dot notation
(e.g., {'asr.beam_size': 10, 'vad.threshold': 0.25})
device: Device override (None/'auto' = auto-detect, 'cuda'/'cpu' = explicit)
compute_type: Compute type override (None/'auto' = provider-specific default)
Returns:
Resolved configuration in legacy structure for pipeline compatibility.
@ -395,6 +407,8 @@ def resolve_ensemble_config(
task=task,
features=features or [],
overrides=nested_overrides,
device=device,
compute_type=compute_type,
)
# Add ensemble-specific metadata

View File

@ -23,9 +23,46 @@ from .components import (
get_vad_registry,
get_feature_registry,
)
from whisperjav.utils.device_detector import get_best_device
logger = logging.getLogger("whisperjav")
# CTranslate2-based providers support "auto" compute_type selection
CTRANSLATE2_PROVIDERS = {"faster_whisper", "kotoba_faster_whisper"}
def _get_compute_type_for_device(device: str, provider: str) -> str:
"""
Select optimal compute_type based on device and provider.
CTranslate2 providers (faster_whisper, kotoba_faster_whisper):
- Returns "auto" to delegate selection to CTranslate2's internal logic
- CTranslate2 auto-selects based on GPU capability and CPU instruction sets
- Benefits: Automatic support for new GPUs (e.g., RTX 50XX Blackwell sm120)
- See: https://github.com/OpenNMT/CTranslate2/issues/1865
PyTorch providers (openai_whisper, stable_ts):
- CUDA/MPS: float16
- CPU: float32
Args:
device: Detected device ("cuda", "mps", "cpu")
provider: ASR provider name
Returns:
Optimal compute_type for the device/provider combination
"""
if provider in CTRANSLATE2_PROVIDERS:
# Delegate to CTranslate2's internal "auto" selection logic
# This automatically handles:
# - GPU capability detection (int8_float16 for RTX 20/30/40, float16 for RTX 50)
# - CPU instruction sets (AVX2, AVX512)
# - Blackwell sm120 workaround (PR #1937)
return "auto"
else:
# PyTorch-based providers can use float16 on GPU/MPS, float32 on CPU
return "float16" if device in ("cuda", "mps") else "float32"
def resolve_config_v3(
asr: str,
@ -34,6 +71,8 @@ def resolve_config_v3(
task: str = "transcribe",
features: Optional[List[str]] = None,
overrides: Optional[Dict[str, Any]] = None,
device: Optional[str] = None,
compute_type: Optional[str] = None,
) -> Dict[str, Any]:
"""
Resolve configuration from component selections.
@ -45,6 +84,9 @@ def resolve_config_v3(
task: Task type ('transcribe', 'translate')
features: List of feature names (e.g., ['auditok_scene_detection'])
overrides: Parameter overrides (e.g., {'asr.beam_size': 10})
device: Device override (None/'auto' = auto-detect, 'cuda'/'cpu' = explicit)
compute_type: Compute type override (None/'auto' = provider-specific default,
'float16'/'float32'/'int8'/'int8_float16'/'int8_float32' = explicit)
Returns:
Resolved configuration dictionary.
@ -58,6 +100,12 @@ def resolve_config_v3(
... features=['auditok_scene_detection'],
... overrides={'asr.beam_size': 10}
... )
>>> # With explicit hardware configuration:
>>> config = resolve_config_v3(
... asr='faster_whisper',
... device='cuda',
... compute_type='int8_float16'
... )
"""
if features is None:
features = []
@ -125,12 +173,38 @@ def resolve_config_v3(
for feature_type, feature_config in feature_configs.items():
_apply_overrides(feature_config, overrides, feature_type)
# Build model configuration
# Build model configuration with device/compute_type selection
# Priority: 1) User-provided value, 2) Auto-detection
#
# Device selection:
# - None or "auto" → auto-detect using get_best_device()
# - "cuda"/"cpu" → use explicit value (MPS fallback handled by ASR modules)
#
# Compute type selection:
# - None or "auto" → provider-specific default (CTranslate2 "auto" or PyTorch float16/32)
# - Explicit value → pass through to ASR module
if device and device != "auto":
selected_device = device
logger.debug(f"v3.0 resolver: Using user-specified device='{selected_device}'")
else:
selected_device = get_best_device()
logger.debug(f"v3.0 resolver: Auto-detected device='{selected_device}'")
if compute_type and compute_type != "auto":
selected_compute_type = compute_type
logger.debug(f"v3.0 resolver: Using user-specified compute_type='{selected_compute_type}'")
else:
selected_compute_type = _get_compute_type_for_device(selected_device, asr_component.provider)
logger.debug(
f"v3.0 resolver: Selected compute_type='{selected_compute_type}' "
f"for provider='{asr_component.provider}'"
)
model_config = {
'provider': asr_component.provider,
'model_name': asr_component.model_id,
'device': asr_component.default_device,
'compute_type': asr_component.default_compute_type,
'device': selected_device,
'compute_type': selected_compute_type,
'supported_tasks': asr_component.supported_tasks,
}

View File

@ -696,6 +696,11 @@ def _build_pipeline(
logger.debug("Pass %s: Override hf_scene = %s", pass_number, pass_config["scene_detector"])
elif pass_config.get("scene_detector") == "none":
hf_defaults["hf_scene"] = "none"
# Apply source language override for transformers pipeline (fixes Issue #104)
# The language code (e.g., 'en', 'ja') is set in main.py from --language argument
if pass_config.get("language"):
hf_defaults["hf_language"] = pass_config["language"]
logger.debug("Pass %s: Override hf_language = %s", pass_number, pass_config["language"])
# Apply speech enhancer override for transformers pipeline
if pass_config.get("speech_enhancer"):
enhancer_backend, enhancer_model = _parse_speech_enhancer(pass_config["speech_enhancer"])
@ -737,8 +742,19 @@ def _build_pipeline(
sensitivity=pass_config.get("sensitivity", "balanced"),
task=asr_task, # Derived from subs_language above
overrides=pass_config.get("overrides"),
device=pass_config.get("device"), # None = auto-detect
compute_type=pass_config.get("compute_type"), # None = auto
)
# Apply source language from pass_config (fixes Issue #104)
# The language code (e.g., 'en', 'ja') is set in main.py from --language argument
if pass_config.get("language"):
resolved_config["language"] = pass_config["language"]
# Also update decoder params so ASR uses correct language
if "params" in resolved_config and "decoder" in resolved_config["params"]:
resolved_config["params"]["decoder"]["language"] = pass_config["language"]
logger.debug("Pass %s: Applied source language = %s", pass_number, pass_config["language"])
# Apply GUI-specified overrides for legacy pipelines
_apply_gui_overrides(resolved_config, pass_config, pass_number)

View File

@ -211,6 +211,19 @@ def parse_arguments():
parser.add_argument("--accept-cpu-mode", action="store_true",
help="Accept CPU-only mode without GPU warning (skip GPU performance check)")
# Hardware configuration (device and compute type override)
hardware_group = parser.add_argument_group("Hardware Configuration")
hardware_group.add_argument("--device", type=str, default=None,
choices=["auto", "cuda", "cpu"],
help="Device to use for ASR processing (default: auto-detect). "
"Note: MPS (Apple Silicon) is auto-detected but CTranslate2 backends "
"will fall back to CPU with Accelerate optimization.")
hardware_group.add_argument("--compute-type", type=str, default=None,
choices=["auto", "float16", "float32", "int8", "int8_float16", "int8_float32"],
help="Compute type for ASR processing (default: auto). "
"CTranslate2 backends (faster_whisper, kotoba) use 'auto' to optimize "
"based on GPU capability. PyTorch backends use float16 (GPU) or float32 (CPU).")
# Path and logging
path_group = parser.add_argument_group("Path and Logging Options")
path_group.add_argument("--output-dir", default="./output", help="Output directory")
@ -1100,6 +1113,8 @@ def main():
task=task,
features=features,
overrides=overrides,
device=args.device,
compute_type=args.compute_type,
)
elif args.mode == "transformers":
@ -1114,6 +1129,8 @@ def main():
pipeline_name=args.mode,
sensitivity=args.sensitivity,
task=task,
device=args.device,
compute_type=args.compute_type,
)
if args.scene_detection_method:
@ -1128,16 +1145,20 @@ def main():
# Apply model override if specified via CLI (not for ensemble mode)
if args.model and resolved_config is not None:
logger.info(f"Overriding model with CLI argument: {args.model}")
# Determine device and compute_type for model override
# Priority: CLI args > auto-detection
override_device = args.device if args.device and args.device != "auto" else get_best_device()
override_compute_type = args.compute_type if args.compute_type and args.compute_type != "auto" else "int8"
# Create a model configuration for the CLI-specified model
override_model_config = {
"provider": "openai_whisper", # Default provider
"model_name": args.model,
"device": get_best_device(), # Auto-detect: CUDA -> MPS -> CPU
"compute_type": "int8", # Default to int8 for quantized models (CTranslate2)
"device": override_device,
"compute_type": override_compute_type,
"supported_tasks": ["transcribe", "translate"]
}
resolved_config["model"] = override_model_config
logger.debug(f"Model override applied: {args.model}")
logger.debug(f"Model override applied: {args.model} (device={override_device}, compute_type={override_compute_type})")
# Apply language override to decoder params (not for ensemble mode)
if resolved_config is not None and "params" in resolved_config and "decoder" in resolved_config["params"]:
@ -1296,7 +1317,10 @@ def main():
'speech_enhancer': args.pass1_speech_enhancer,
'model': args.pass1_model,
'params': pass1_params, # None = use defaults, object = custom
'hf_params': pass1_hf_params # For transformers pipeline
'hf_params': pass1_hf_params, # For transformers pipeline
'language': language_code, # Source language code (e.g., 'en', 'ja')
'device': args.device, # Hardware override (None = auto-detect)
'compute_type': args.compute_type, # Compute type override (None = auto)
}
pass2_config = None
@ -1309,7 +1333,10 @@ def main():
'speech_enhancer': args.pass2_speech_enhancer,
'model': args.pass2_model,
'params': pass2_params,
'hf_params': pass2_hf_params # For transformers pipeline
'hf_params': pass2_hf_params, # For transformers pipeline
'language': language_code, # Source language code (e.g., 'en', 'ja')
'device': args.device, # Hardware override (None = auto-detect)
'compute_type': args.compute_type, # Compute type override (None = auto)
}
# Create orchestrator

View File

@ -47,21 +47,24 @@ class FasterWhisperProASR:
# Use smart device detection: CUDA -> MPS -> CPU
self.device = model_config.get("device", get_best_device())
# Smart compute_type default based on device (ctranslate2 backend)
# - CUDA: int8_float16 (quantized weights + FP16 tensor cores = fastest)
# - MPS: float16 (safe for Apple Silicon)
# - CPU: int8 (quantized weights + FP32 compute = only fast option)
requested_compute_type = model_config.get("compute_type")
if requested_compute_type is None or requested_compute_type == "auto":
if self.device == "cuda":
self.compute_type = "int8_float16"
elif self.device == "mps":
self.compute_type = "float16"
else: # cpu
self.compute_type = "int8"
logger.debug(f"Auto-selected compute_type='{self.compute_type}' for device='{self.device}'")
else:
self.compute_type = requested_compute_type
# CTRANSLATE2 COMPATIBILITY: MPS is not supported by ctranslate2/faster-whisper
# CTranslate2 only supports "cuda" or "cpu" devices.
# See: https://github.com/OpenNMT/CTranslate2/issues/1562
# See: https://github.com/SYSTRAN/faster-whisper/issues/911
if self.device == "mps":
logger.warning(
"Apple Silicon MPS detected, but faster-whisper/ctranslate2 doesn't support MPS. "
"Using CPU mode with Apple Accelerate optimization. "
"For GPU acceleration on Mac, use --mode transformers instead."
)
self.device = "cpu"
# Use compute_type from resolver (defaults to "auto" for CTranslate2 providers)
# CTranslate2's "auto" handles device-specific optimization internally:
# - GPU capability detection (int8_float16 for RTX 20/30/40, float16 for RTX 50 Blackwell)
# - CPU instruction sets (AVX2, AVX512 → int8)
# See: https://github.com/OpenNMT/CTranslate2/issues/1865
self.compute_type = model_config.get("compute_type", "auto")
decoder_params = params["decoder"]
vad_params = params["vad"]
@ -173,25 +176,7 @@ class FasterWhisperProASR:
def _initialize_models(self):
"""Initialize Faster-Whisper model (direct API)."""
# Note: Speech segmentation is handled by external Speech Segmenter (set in __init__)
# CPU COMPATIBILITY: float16/bfloat16 are NOT supported on CPU by ctranslate2
# Only float32 and int8 work on CPU. This check is ONLY for CPU - GPU paths unchanged.
# Note: Apple Silicon MPS (device="mps") DOES support float16/bfloat16 - this only affects CPU mode.
if self.device == "cpu" and self.compute_type in ("float16", "bfloat16", "int8_float16", "int8_bfloat16"):
import platform
original_compute_type = self.compute_type
self.compute_type = "int8" # int8 is faster than float32 on CPU
# Tailor message based on platform
if platform.system() == "Darwin":
hint = "For GPU acceleration on Mac, ensure MPS is available (Apple Silicon required)."
else:
hint = "For GPU acceleration, use a CUDA-compatible GPU."
logger.warning(
f"Compute type '{original_compute_type}' is not supported on CPU. "
f"Automatically switching to 'int8' (best CPU performance). {hint}"
)
# Note: compute_type="auto" (default) lets CTranslate2 handle device-specific selection
# Faster-Whisper direct API initialization
logger.debug(

View File

@ -52,7 +52,22 @@ class KotobaFasterWhisperASR:
# Model configuration
self.model_name = model_config.get("model_name", self.DEFAULT_MODEL)
self.device = model_config.get("device", get_best_device())
self.compute_type = model_config.get("compute_type", "float16")
# CTRANSLATE2 COMPATIBILITY: MPS is not supported by ctranslate2/faster-whisper
# CTranslate2 only supports "cuda" or "cpu" devices.
# See: https://github.com/OpenNMT/CTranslate2/issues/1562
if self.device == "mps":
logger.warning(
"Apple Silicon MPS detected, but faster-whisper/ctranslate2 doesn't support MPS. "
"Using CPU mode with Apple Accelerate optimization. "
"For GPU acceleration on Mac, use --mode transformers instead."
)
self.device = "cpu"
# Use compute_type from resolver (defaults to "auto" for CTranslate2 providers)
# CTranslate2's "auto" handles device-specific optimization internally
# See: https://github.com/OpenNMT/CTranslate2/issues/1865
self.compute_type = model_config.get("compute_type", "auto")
# Task
self.task = task
@ -122,31 +137,22 @@ class KotobaFasterWhisperASR:
logger.info(f"Loading Kotoba model: {self.model_name}")
logger.info(f"Device: {self.device}, Compute type: {self.compute_type}")
# Determine compute type based on device capabilities
# On CPU, float16 is generally not supported by CTranslate2, so we fallback to int8
# unless float32 is explicitly requested.
if self.device == "cuda":
actual_compute_type = self.compute_type
else:
if self.compute_type == "float16":
logger.warning("float16 compute type is not supported on CPU. Falling back to int8.")
actual_compute_type = "int8"
else:
actual_compute_type = self.compute_type
# Note: compute_type="auto" (default) lets CTranslate2 handle device-specific selection
# See: https://github.com/OpenNMT/CTranslate2/issues/1865
try:
self.model = WhisperModel(
model_size_or_path=self.model_name,
device=self.device,
compute_type=actual_compute_type,
compute_type=self.compute_type,
download_root=None, # Use default HuggingFace cache
cpu_threads=0, # Use default
num_workers=1,
)
logger.info("Kotoba model loaded successfully")
except Exception as e:
# C4: VRAM exhaustion fallback - try int8 if float16 fails on CUDA
if self.device == "cuda" and actual_compute_type == "float16":
# VRAM exhaustion fallback - try int8 if auto/float16 fails on CUDA
if self.device == "cuda" and self.compute_type != "int8":
vram_error_indicators = [
"out of memory",
"cuda out of memory",
@ -158,7 +164,7 @@ class KotobaFasterWhisperASR:
error_str = str(e).lower()
if any(indicator in error_str for indicator in vram_error_indicators):
logger.warning(
f"CUDA float16 failed (likely VRAM exhaustion): {e}. "
f"CUDA {self.compute_type} failed (likely VRAM exhaustion): {e}. "
"Falling back to int8 compute type."
)
try:

View File

@ -83,7 +83,7 @@ class WhisperVadSpeechSegmenter:
no_speech_threshold: float = 0.6,
logprob_threshold: float = -1.0,
language: str = "ja",
compute_type: str = "float16",
compute_type: str = "auto",
device: str = "auto",
cache_results: bool = True,
cache_dir: Optional[Path] = None,
@ -265,16 +265,12 @@ class WhisperVadSpeechSegmenter:
device = "cuda" if torch.cuda.is_available() else "cpu"
logger.info(f"[WhisperVAD] Auto-detected device: {device}")
# Adjust compute_type for CPU
compute_type = self.compute_type
if device == "cpu" and compute_type in ("float16", "int8_float16"):
compute_type = "int8"
logger.info(f"[WhisperVAD] Adjusted compute_type for CPU: {compute_type}")
# Note: compute_type="auto" (default) lets CTranslate2 handle device-specific selection
# See: https://github.com/OpenNMT/CTranslate2/issues/1865
self._model = WhisperModel(
self._model_size,
device=device,
compute_type=compute_type,
compute_type=self.compute_type,
)
logger.info(f"[WhisperVAD] Model loaded successfully on {device}")

View File

@ -148,9 +148,22 @@ class StableTSASR:
self.model_name = model_config.get("model_name", "large-v2")
# Use smart device detection: CUDA -> MPS -> CPU
self.device = model_config.get("device", get_best_device())
self.turbo_mode = turbo_mode
# CTRANSLATE2 COMPATIBILITY: MPS is not supported by ctranslate2/faster-whisper
# In turbo_mode, stable-ts uses faster-whisper which uses ctranslate2.
# CTranslate2 only supports "cuda" or "cpu" devices.
# See: https://github.com/OpenNMT/CTranslate2/issues/1562
if self.device == "mps" and self.turbo_mode:
logger.warning(
"Apple Silicon MPS detected, but faster-whisper/ctranslate2 doesn't support MPS. "
"Using CPU mode with Apple Accelerate optimization. "
"For GPU acceleration on Mac, use --mode transformers instead."
)
self.device = "cpu"
# Default to int8 for quantized models (faster-whisper uses CTranslate2 quantized models)
self.compute_type = model_config.get("compute_type", "int8")
self.turbo_mode = turbo_mode
self.model_repo = model_config.get("hf_repo")
if not self.model_repo:
self.model_repo = self._derive_model_repo(self.model_name)

View File

@ -3,6 +3,7 @@
WhisperJAV Version Checker
Checks for new versions on GitHub and provides update notifications.
Supports both stable releases and development (latest commit) updates.
Uses GitHub API with caching and retry logic.
"""
@ -10,11 +11,12 @@ import os
import sys
import json
import time
import subprocess
import urllib.request
import urllib.error
from pathlib import Path
from typing import Optional, Tuple, Dict
from dataclasses import dataclass
from typing import Optional, Tuple, Dict, List
from dataclasses import dataclass, field
from datetime import datetime, timedelta
# Import version - handle both installed and dev scenarios
@ -40,14 +42,23 @@ except ImportError:
# set WHISPERJAV_RELEASES_URL=http://localhost:8000/releases
# =============================================================================
# GitHub API endpoint
# GitHub API endpoints
GITHUB_REPO = os.environ.get('WHISPERJAV_REPO', 'meizhong986/whisperjav')
GITHUB_API_URL = os.environ.get(
'WHISPERJAV_UPDATE_API_URL',
'https://api.github.com/repos/meizhong986/whisperjav/releases/latest'
f'https://api.github.com/repos/{GITHUB_REPO}/releases/latest'
)
GITHUB_COMMITS_API_URL = os.environ.get(
'WHISPERJAV_COMMITS_API_URL',
f'https://api.github.com/repos/{GITHUB_REPO}/commits/main'
)
GITHUB_COMPARE_API_URL = os.environ.get(
'WHISPERJAV_COMPARE_API_URL',
f'https://api.github.com/repos/{GITHUB_REPO}/compare'
)
GITHUB_RELEASES_URL = os.environ.get(
'WHISPERJAV_RELEASES_URL',
'https://github.com/meizhong986/WhisperJAV/releases'
f'https://github.com/{GITHUB_REPO}/releases'
)
# Cache settings
@ -67,13 +78,44 @@ class VersionInfo:
download_url: Optional[str] = None
@dataclass
class CommitInfo:
"""Information about a single commit."""
sha: str
short_sha: str
message: str
author: str
date: str
url: str
@dataclass
class DevUpdateInfo:
"""Information about development (latest commit) updates."""
commits_ahead: int
latest_commit: Optional[CommitInfo] = None
recent_commits: List[CommitInfo] = field(default_factory=list)
base_tag: Optional[str] = None # The release tag we're comparing against
@dataclass
class UpdateCheckResult:
"""Result of an update check."""
update_available: bool
# Current installation info
current_version: str
current_commit: Optional[str] = None # Short SHA if known
installation_type: str = "release" # "release" or "dev"
# Stable release track
update_available: bool = False
latest_version: Optional[str] = None
version_info: Optional[VersionInfo] = None
# Development track
dev_update_available: bool = False
dev_info: Optional[DevUpdateInfo] = None
# Meta
error: Optional[str] = None
from_cache: bool = False
@ -207,17 +249,160 @@ def _fetch_latest_release(timeout: int = 10, retries: int = 2) -> Optional[Dict]
return None
def check_for_updates(force: bool = False) -> UpdateCheckResult:
def _fetch_github_api(url: str, timeout: int = 10) -> Optional[Dict]:
"""
Fetch data from GitHub API.
Args:
url: GitHub API URL
timeout: Request timeout in seconds
Returns:
JSON response dict or None on failure
"""
try:
request = urllib.request.Request(
url,
headers={
'Accept': 'application/vnd.github.v3+json',
'User-Agent': f'WhisperJAV/{CURRENT_VERSION}'
}
)
with urllib.request.urlopen(request, timeout=timeout) as response:
return json.loads(response.read().decode('utf-8'))
except Exception:
return None
def _get_current_commit() -> Optional[str]:
"""
Get the current installation's commit hash.
Tries multiple methods:
1. Check if running from git repo (development)
2. Check stored commit hash from pip install
Returns:
Short commit hash (7 chars) or None
"""
# Method 1: Running from git repo (development)
try:
result = subprocess.run(
['git', 'rev-parse', '--short', 'HEAD'],
capture_output=True,
text=True,
timeout=5,
cwd=Path(__file__).parent.parent # whisperjav package root
)
if result.returncode == 0:
return result.stdout.strip()[:7]
except Exception:
pass
# Method 2: Check for stored commit hash (from pip install git+...)
try:
commit_file = CACHE_DIR / 'installed_commit.txt'
if commit_file.exists():
return commit_file.read_text().strip()[:7]
except Exception:
pass
return None
def _fetch_latest_commit(timeout: int = 10) -> Optional[CommitInfo]:
"""
Fetch the latest commit from the main branch.
Returns:
CommitInfo or None on failure
"""
data = _fetch_github_api(GITHUB_COMMITS_API_URL, timeout)
if not data:
return None
try:
commit = data.get('commit', {})
return CommitInfo(
sha=data.get('sha', ''),
short_sha=data.get('sha', '')[:7],
message=commit.get('message', '').split('\n')[0][:100], # First line, truncated
author=commit.get('author', {}).get('name', 'Unknown'),
date=commit.get('author', {}).get('date', ''),
url=data.get('html_url', '')
)
except Exception:
return None
def _fetch_commits_since_tag(tag: str, timeout: int = 10) -> Optional[DevUpdateInfo]:
"""
Fetch commits between a release tag and the main branch.
Args:
tag: Release tag to compare from (e.g., 'v1.7.5')
Returns:
DevUpdateInfo with commit list, or None on failure
"""
# Use GitHub compare API: /repos/{owner}/{repo}/compare/{base}...{head}
compare_url = f"{GITHUB_COMPARE_API_URL}/{tag}...main"
data = _fetch_github_api(compare_url, timeout)
if not data:
return None
try:
commits_data = data.get('commits', [])
ahead_by = data.get('ahead_by', len(commits_data))
# Parse recent commits (up to 10)
recent_commits = []
for commit_data in commits_data[-10:]: # Last 10 commits
commit = commit_data.get('commit', {})
recent_commits.append(CommitInfo(
sha=commit_data.get('sha', ''),
short_sha=commit_data.get('sha', '')[:7],
message=commit.get('message', '').split('\n')[0][:80],
author=commit.get('author', {}).get('name', 'Unknown'),
date=commit.get('author', {}).get('date', ''),
url=commit_data.get('html_url', '')
))
# Reverse to show newest first
recent_commits.reverse()
return DevUpdateInfo(
commits_ahead=ahead_by,
latest_commit=recent_commits[0] if recent_commits else None,
recent_commits=recent_commits,
base_tag=tag
)
except Exception:
return None
def check_for_updates(force: bool = False, include_dev: bool = True) -> UpdateCheckResult:
"""
Check if a newer version of WhisperJAV is available.
Checks both:
1. Stable releases (tagged versions on GitHub)
2. Development updates (commits on main branch since last release)
Args:
force: If True, bypass cache and check immediately
include_dev: If True, also check for dev updates (commits since release)
Returns:
UpdateCheckResult with update information
UpdateCheckResult with both release and dev update information
"""
current = CURRENT_VERSION
current_commit = _get_current_commit()
# Determine installation type
# If we can get a commit hash, likely installed from git
installation_type = "dev" if current_commit else "release"
# Check cache first (unless forced)
if not force:
@ -239,31 +424,76 @@ def check_for_updates(force: bool = False) -> UpdateCheckResult:
download_url=vi.get('download_url')
)
# Reconstruct dev_info from cache if available
dev_info = None
dev_update_available = False
if cached.get('dev_info'):
di = cached['dev_info']
commits_ahead = di.get('commits_ahead', 0)
dev_update_available = commits_ahead > 0
recent_commits = []
for c in di.get('recent_commits', []):
recent_commits.append(CommitInfo(
sha=c.get('sha', ''),
short_sha=c.get('short_sha', ''),
message=c.get('message', ''),
author=c.get('author', ''),
date=c.get('date', ''),
url=c.get('url', '')
))
latest_commit = None
if di.get('latest_commit'):
lc = di['latest_commit']
latest_commit = CommitInfo(
sha=lc.get('sha', ''),
short_sha=lc.get('short_sha', ''),
message=lc.get('message', ''),
author=lc.get('author', ''),
date=lc.get('date', ''),
url=lc.get('url', '')
)
dev_info = DevUpdateInfo(
commits_ahead=commits_ahead,
latest_commit=latest_commit,
recent_commits=recent_commits,
base_tag=di.get('base_tag')
)
return UpdateCheckResult(
update_available=update_available,
current_version=current,
current_commit=current_commit,
installation_type=installation_type,
update_available=update_available,
latest_version=latest,
version_info=version_info,
dev_update_available=dev_update_available,
dev_info=dev_info,
from_cache=True
)
# Fetch from GitHub
# Fetch latest release from GitHub
release_data = _fetch_latest_release()
if not release_data:
return UpdateCheckResult(
update_available=False,
current_version=current,
current_commit=current_commit,
installation_type=installation_type,
error="Could not check for updates"
)
# Parse release data
latest = release_data.get('tag_name', '').lstrip('v')
release_tag = release_data.get('tag_name', f'v{latest}')
if not latest:
return UpdateCheckResult(
update_available=False,
current_version=current,
current_commit=current_commit,
installation_type=installation_type,
error="Invalid release data"
)
@ -283,6 +513,26 @@ def check_for_updates(force: bool = False) -> UpdateCheckResult:
version_info.download_url = asset.get('browser_download_url')
break
# Compare versions for stable track
update_available = compare_versions(current, latest) < 0
# Fetch dev track info (commits since release)
dev_info = None
dev_update_available = False
if include_dev:
dev_info = _fetch_commits_since_tag(release_tag)
if dev_info:
# Dev update available if there are commits ahead
# AND user doesn't already have the latest commit
if dev_info.commits_ahead > 0:
if current_commit and dev_info.latest_commit:
# User has a commit hash - check if it matches latest
dev_update_available = current_commit != dev_info.latest_commit.short_sha
else:
# Can't compare commits, assume update available
dev_update_available = True
# Save to cache
cache_data = {
'latest_version': latest,
@ -295,16 +545,44 @@ def check_for_updates(force: bool = False) -> UpdateCheckResult:
'download_url': version_info.download_url
}
}
# Cache dev info if available
if dev_info:
cache_data['dev_info'] = {
'commits_ahead': dev_info.commits_ahead,
'base_tag': dev_info.base_tag,
'latest_commit': {
'sha': dev_info.latest_commit.sha,
'short_sha': dev_info.latest_commit.short_sha,
'message': dev_info.latest_commit.message,
'author': dev_info.latest_commit.author,
'date': dev_info.latest_commit.date,
'url': dev_info.latest_commit.url
} if dev_info.latest_commit else None,
'recent_commits': [
{
'sha': c.sha,
'short_sha': c.short_sha,
'message': c.message,
'author': c.author,
'date': c.date,
'url': c.url
}
for c in dev_info.recent_commits[:5] # Cache up to 5 commits
]
}
_save_cache(cache_data)
# Compare versions
update_available = compare_versions(current, latest) < 0
return UpdateCheckResult(
update_available=update_available,
current_version=current,
current_commit=current_commit,
installation_type=installation_type,
update_available=update_available,
latest_version=latest,
version_info=version_info,
dev_update_available=dev_update_available,
dev_info=dev_info,
from_cache=False
)
@ -385,16 +663,52 @@ def should_show_notification(level: str, last_dismissed: Optional[str] = None) -
# CLI interface
if __name__ == "__main__":
print(f"Current version: {CURRENT_VERSION}")
print("Checking for updates...")
if _get_current_commit():
print(f"Current commit: {_get_current_commit()}")
print("Checking for updates...\n")
result = check_for_updates(force=True)
if result.error:
print(f"Error: {result.error}")
elif result.update_available:
print(f"Update available: {result.latest_version}")
print(f"Release URL: {result.version_info.release_url}")
sys.exit(1)
# Stable release track
print("=" * 50)
print("[STABLE RELEASE]")
print("=" * 50)
if result.update_available:
print(f" Update available: v{result.latest_version}")
print(f" Release URL: {result.version_info.release_url}")
if result.version_info.download_url:
print(f"Download: {result.version_info.download_url}")
print(f" Download: {result.version_info.download_url}")
else:
print("You have the latest version!")
print(f" [OK] You have the latest stable release (v{result.latest_version})")
# Development track
print("\n" + "=" * 50)
print("[DEVELOPMENT] (main branch)")
print("=" * 50)
if result.dev_info:
if result.dev_info.commits_ahead > 0:
print(f" {result.dev_info.commits_ahead} commit(s) ahead of {result.dev_info.base_tag}")
if result.dev_update_available:
print(" -> Updates available!")
else:
print(" [OK] You have the latest development version")
if result.dev_info.recent_commits:
print("\n Recent commits:")
for commit in result.dev_info.recent_commits[:5]:
# Encode safely for Windows console
msg = commit.message[:60].encode('ascii', 'replace').decode('ascii')
print(f" * [{commit.short_sha}] {msg}")
else:
print(" [OK] Release is up to date with main branch")
else:
print(" Could not fetch development info")
print("\n" + "=" * 50)
print("To update:")
print(" Stable: pip install -U whisperjav")
print(" Dev: pip install -U git+https://github.com/meizhong986/whisperjav.git")

View File

@ -12,6 +12,7 @@ import time
import queue
import threading
import subprocess
import webbrowser
from pathlib import Path
from typing import Optional, List, Dict, Any
import webview
@ -2104,17 +2105,30 @@ class WhisperJAVAPI:
"""
Check if a newer version of WhisperJAV is available.
Checks both stable releases and development (latest commit) updates.
Args:
force: If True, bypass cache and check immediately
Returns:
dict: Update check result with:
- update_available: bool
- success: bool
- current_version: str
- current_commit: str or None (short SHA)
- installation_type: "release" or "dev"
Stable track:
- update_available: bool
- latest_version: str (if available)
- notification_level: str (critical/major/minor/patch/none)
- release_url: str (if update available)
- release_notes: str (if update available)
Development track:
- dev_update_available: bool
- dev_commits_ahead: int
- dev_recent_commits: list of {sha, message, author, date}
- error: str (if check failed)
"""
try:
@ -2123,25 +2137,55 @@ class WhisperJAVAPI:
get_update_notification_level,
)
result = check_for_updates(force=force)
result = check_for_updates(force=force, include_dev=True)
response = {
"success": True,
"update_available": result.update_available,
# Current installation info
"current_version": result.current_version,
"current_commit": result.current_commit,
"installation_type": result.installation_type,
# Stable release track
"update_available": result.update_available,
"latest_version": result.latest_version,
"from_cache": result.from_cache,
# Development track
"dev_update_available": result.dev_update_available,
}
if result.error:
response["error"] = result.error
# Stable release info
if result.version_info:
response["notification_level"] = get_update_notification_level(result)
response["release_url"] = result.version_info.release_url
response["release_notes"] = result.version_info.release_notes[:500] # Truncate
response["is_prerelease"] = result.version_info.is_prerelease
# Development track info
if result.dev_info:
response["dev_commits_ahead"] = result.dev_info.commits_ahead
response["dev_base_tag"] = result.dev_info.base_tag
response["dev_recent_commits"] = [
{
"sha": c.short_sha,
"message": c.message,
"author": c.author,
"date": c.date,
"url": c.url
}
for c in result.dev_info.recent_commits[:5]
]
if result.dev_info.latest_commit:
response["dev_latest_commit"] = {
"sha": result.dev_info.latest_commit.short_sha,
"message": result.dev_info.latest_commit.message,
"author": result.dev_info.latest_commit.author,
"date": result.dev_info.latest_commit.date,
"url": result.dev_info.latest_commit.url
}
return response
except Exception as e:
@ -2149,6 +2193,7 @@ class WhisperJAVAPI:
"success": False,
"error": str(e),
"update_available": False,
"dev_update_available": False,
"current_version": "unknown"
}
@ -2274,3 +2319,19 @@ class WhisperJAVAPI:
"error": str(e),
"should_exit": False
}
def open_url(self, url: str) -> Dict[str, Any]:
"""
Open a URL in the system's default web browser.
Args:
url: The URL to open
Returns:
dict: Success status
"""
try:
webbrowser.open(url)
return {"success": True}
except Exception as e:
return {"success": False, "error": str(e)}

View File

@ -4076,6 +4076,240 @@ const UpdateManager = {
}
};
// ============================================================
// Update Check Manager (manual update check from menu)
// ============================================================
const UpdateCheckManager = {
modal: null,
init() {
this.modal = document.getElementById('updateCheckModal');
if (!this.modal) {
console.warn('UpdateCheckManager: modal not found');
return;
}
// Menu item click
const checkBtn = document.getElementById('checkUpdatesBtn');
if (checkBtn) {
checkBtn.addEventListener('click', (e) => {
e.stopPropagation();
document.getElementById('themeMenu')?.classList.remove('active');
this.show();
});
}
// Modal close handlers
document.getElementById('updateCheckModalClose')?.addEventListener('click', () => this.close());
document.getElementById('updateCheckLater')?.addEventListener('click', () => this.close());
document.getElementById('updateCheckNow')?.addEventListener('click', () => this.startUpdate());
document.getElementById('updateCheckDownload')?.addEventListener('click', () => this.openDownloadPage());
// Close on overlay click
this.modal.addEventListener('click', (e) => {
if (e.target === this.modal) this.close();
});
// Close on Escape key
document.addEventListener('keydown', (e) => {
if (e.key === 'Escape' && this.modal.classList.contains('active')) {
this.close();
}
});
},
async show() {
// Reset and show loading state
this.showLoading();
this.modal.classList.add('active');
try {
// Force fresh check (bypass cache)
const result = await pywebview.api.check_for_updates(true);
this.showResult(result);
} catch (err) {
console.error('Update check error:', err);
this.showError(err);
}
},
// Store the last result for update actions
lastResult: null,
showLoading() {
document.getElementById('updateCheckLoading').style.display = 'block';
document.getElementById('updateCheckResult').style.display = 'none';
document.getElementById('updateCheckError').style.display = 'none';
},
showResult(result) {
this.lastResult = result;
document.getElementById('updateCheckLoading').style.display = 'none';
document.getElementById('updateCheckResult').style.display = 'block';
// Set current version info
document.getElementById('updateCurrentVersion').textContent = 'v' + result.current_version;
// Show commit hash if available
const commitEl = document.getElementById('updateCurrentCommit');
if (commitEl && result.current_commit) {
commitEl.textContent = '(' + result.current_commit.substring(0, 7) + ')';
commitEl.style.display = 'inline';
} else if (commitEl) {
commitEl.style.display = 'none';
}
// === Stable Release Track ===
this.updateStableTrack(result);
// === Development Track ===
this.updateDevTrack(result);
},
updateStableTrack(result) {
const stableUpToDate = document.getElementById('stableUpToDate');
const stableUpdateAvailable = document.getElementById('stableUpdateAvailable');
const stableReleaseNotes = document.getElementById('stableReleaseNotes');
const stableActions = document.getElementById('stableActions');
const stableLatestVersion = document.getElementById('stableLatestVersion');
const stableNewVersion = document.getElementById('stableNewVersion');
const stableBadge = document.getElementById('stableUpdateBadge');
if (result.update_available && result.latest_version) {
// Stable update available
stableUpToDate.style.display = 'none';
stableUpdateAvailable.style.display = 'flex';
stableNewVersion.textContent = result.latest_version;
// Set badge color based on notification level
const level = result.notification_level || 'patch';
stableBadge.textContent = level.toUpperCase();
stableBadge.className = 'update-badge ' + level;
// Show release notes if available
if (result.release_notes) {
const notesContent = document.getElementById('stableReleaseNotesContent');
notesContent.innerHTML = this.parseMarkdown(result.release_notes);
stableReleaseNotes.style.display = 'block';
} else {
stableReleaseNotes.style.display = 'none';
}
// Show action button (Download for major, Update for others)
if (level === 'major') {
stableActions.innerHTML = '<button id="updateToStable" class="btn btn-primary btn-sm">Download from GitHub</button>';
document.getElementById('updateToStable').addEventListener('click', () => this.openDownloadPage());
} else {
stableActions.innerHTML = '<button id="updateToStable" class="btn btn-primary btn-sm">Update to Stable</button>';
document.getElementById('updateToStable').addEventListener('click', () => this.startUpdate('stable'));
}
stableActions.style.display = 'block';
} else {
// Up to date with stable
stableUpToDate.style.display = 'flex';
stableLatestVersion.textContent = result.current_version;
stableUpdateAvailable.style.display = 'none';
stableReleaseNotes.style.display = 'none';
stableActions.style.display = 'none';
}
},
updateDevTrack(result) {
const devUpToDate = document.getElementById('devUpToDate');
const devUpdateAvailable = document.getElementById('devUpdateAvailable');
const devCommitsList = document.getElementById('devCommitsList');
const devActions = document.getElementById('devActions');
const devCommitsAhead = document.getElementById('devCommitsAhead');
const devRecentCommits = document.getElementById('devRecentCommits');
if (result.dev_update_available && result.dev_commits_ahead > 0) {
// Dev updates available
devUpToDate.style.display = 'none';
devUpdateAvailable.style.display = 'flex';
devCommitsAhead.textContent = result.dev_commits_ahead;
// Show recent commits list
if (result.dev_recent_commits && result.dev_recent_commits.length > 0) {
devRecentCommits.innerHTML = result.dev_recent_commits
.slice(0, 5) // Show max 5 recent commits
.map(commit => {
const shortSha = commit.short_sha || commit.sha.substring(0, 7);
const message = this.escapeHtml(commit.message.split('\n')[0]); // First line only
return `<li><code>${shortSha}</code> ${message}</li>`;
})
.join('');
devCommitsList.style.display = 'block';
} else {
devCommitsList.style.display = 'none';
}
// Show action button
devActions.innerHTML = '<button id="updateToDev" class="btn btn-secondary btn-sm">Update to Latest Dev</button>';
document.getElementById('updateToDev').addEventListener('click', () => this.startUpdate('dev'));
devActions.style.display = 'block';
} else {
// Up to date with dev
devUpToDate.style.display = 'flex';
devUpdateAvailable.style.display = 'none';
devCommitsList.style.display = 'none';
devActions.style.display = 'none';
}
},
showError(error) {
document.getElementById('updateCheckLoading').style.display = 'none';
document.getElementById('updateCheckResult').style.display = 'none';
document.getElementById('updateCheckError').style.display = 'block';
},
async startUpdate(track = 'stable') {
// Close modal
this.close();
// Use existing UpdateManager to show progress and start update
// Both tracks use the same update mechanism (pip install from GitHub)
// The difference is just which version was chosen
console.log('Starting update from track:', track);
UpdateManager.startUpdate();
},
async openDownloadPage() {
// Open GitHub releases in browser
try {
await pywebview.api.open_url('https://github.com/meizhong986/WhisperJAV/releases');
} catch (err) {
// Fallback: open in new window
window.open('https://github.com/meizhong986/WhisperJAV/releases', '_blank');
}
this.close();
},
close() {
this.modal.classList.remove('active');
},
escapeHtml(text) {
const div = document.createElement('div');
div.textContent = text;
return div.innerHTML;
},
parseMarkdown(text) {
// Simple markdown to HTML conversion
if (!text) return '';
return text
.replace(/^### (.+)$/gm, '<h4>$1</h4>')
.replace(/^## (.+)$/gm, '<h3>$1</h3>')
.replace(/^# (.+)$/gm, '<h2>$1</h2>')
.replace(/\*\*(.+?)\*\*/g, '<strong>$1</strong>')
.replace(/`([^`]+)`/g, '<code>$1</code>')
.replace(/^\* (.+)$/gm, '<li>$1</li>')
.replace(/^- (.+)$/gm, '<li>$1</li>')
.replace(/(<li>.*<\/li>)/s, '<ul>$1</ul>')
.replace(/\n\n/g, '<br><br>');
}
};
// ============================================================
// Initialization
// ============================================================
@ -4098,6 +4332,7 @@ document.addEventListener('DOMContentLoaded', async () => {
ThemeManager.init();
EnsembleManager.init();
UpdateManager.init();
UpdateCheckManager.init();
// Initial validation
FormManager.validateForm();

View File

@ -25,6 +25,10 @@
<button class="theme-option" data-theme="google" role="menuitem">Google Theme</button>
<button class="theme-option" data-theme="carbon" role="menuitem">IBM Carbon Theme</button>
<button class="theme-option" data-theme="primer" role="menuitem">GitHub Primer Theme</button>
<div class="theme-menu-divider"></div>
<button class="theme-option update-check-option" id="checkUpdatesBtn" role="menuitem">
<span class="update-check-icon">&#x2B06;</span> Check for Updates
</button>
</div>
</div>
</header>
@ -838,6 +842,95 @@
</div>
</div>
<!-- Update Check Modal -->
<div class="modal-overlay" id="updateCheckModal">
<div class="modal-dialog modal-update-check">
<div class="modal-header">
<h2>Check for Updates</h2>
<button class="modal-close" id="updateCheckModalClose" aria-label="Close">&times;</button>
</div>
<div class="modal-body">
<!-- Loading State -->
<div id="updateCheckLoading" class="update-check-loading">
<div class="spinner"></div>
<p>Checking for updates...</p>
</div>
<!-- Result State -->
<div id="updateCheckResult" class="update-check-result" style="display: none;">
<!-- Current Version Info -->
<div class="current-version-info">
<span class="version-label">Installed:</span>
<span class="version-value" id="updateCurrentVersion">v1.7.5</span>
<span class="commit-hash" id="updateCurrentCommit"></span>
</div>
<!-- Stable Release Track -->
<div class="update-track update-track-stable" id="stableTrack">
<div class="track-header">
<span class="track-icon">&#x1F4E6;</span>
<span class="track-title">Stable Release</span>
</div>
<div class="track-content">
<div id="stableUpToDate" class="track-status track-status-ok" style="display: none;">
<span class="status-icon">&#x2713;</span>
<span>v<span id="stableLatestVersion">1.7.5</span> - You're up to date</span>
</div>
<div id="stableUpdateAvailable" class="track-status track-status-update" style="display: none;">
<span class="status-icon">&#x2191;</span>
<span>v<span id="stableNewVersion">1.7.6</span> available</span>
<span class="update-badge" id="stableUpdateBadge">PATCH</span>
</div>
<div id="stableReleaseNotes" class="release-notes-section" style="display: none;">
<details class="release-notes-details">
<summary>Release Notes</summary>
<div id="stableReleaseNotesContent" class="release-notes-content"></div>
</details>
</div>
<div id="stableActions" class="track-actions" style="display: none;">
<button id="updateToStable" class="btn btn-primary btn-sm">Update to Stable</button>
</div>
</div>
</div>
<!-- Development Track -->
<div class="update-track update-track-dev" id="devTrack">
<div class="track-header">
<span class="track-icon">&#x26A1;</span>
<span class="track-title">Development</span>
<span class="track-subtitle">(main branch)</span>
</div>
<div class="track-content">
<div id="devUpToDate" class="track-status track-status-ok" style="display: none;">
<span class="status-icon">&#x2713;</span>
<span>Up to date with main branch</span>
</div>
<div id="devUpdateAvailable" class="track-status track-status-update" style="display: none;">
<span class="status-icon">&#x2191;</span>
<span><span id="devCommitsAhead">0</span> commit(s) ahead</span>
</div>
<div id="devCommitsList" class="dev-commits-list" style="display: none;">
<div class="commits-header">Recent commits:</div>
<ul id="devRecentCommits" class="commits-list"></ul>
</div>
<div id="devActions" class="track-actions" style="display: none;">
<button id="updateToDev" class="btn btn-secondary btn-sm">Update to Latest Dev</button>
</div>
</div>
</div>
</div>
<!-- Error State -->
<div id="updateCheckError" class="update-check-error" style="display: none;">
<p>Failed to check for updates. Please check your internet connection and try again.</p>
</div>
</div>
<div class="modal-footer" id="updateCheckFooter">
<button id="updateCheckLater" class="btn btn-secondary">Close</button>
</div>
</div>
</div>
<!-- Customize Component Modal -->
<div class="modal-overlay" id="customizeModal">
<div class="modal-dialog modal-lg">

View File

@ -2405,3 +2405,379 @@ button:focus-visible,
.changelog-error p {
margin-bottom: 16px;
}
/* ============================================================
Update Check Modal
============================================================ */
/* Theme menu divider */
.theme-menu-divider {
height: 1px;
background: var(--border-color);
margin: 4px 0;
}
/* Check for Updates menu item */
.update-check-option {
font-weight: 600;
}
.update-check-icon {
margin-right: 6px;
}
/* Update check loading state */
.update-check-loading {
text-align: center;
padding: 40px 20px;
}
.update-check-loading .spinner {
width: 40px;
height: 40px;
border: 3px solid var(--border-color);
border-top-color: var(--primary-color);
border-radius: 50%;
animation: spin 1s linear infinite;
margin: 0 auto 16px;
}
.update-check-loading p {
color: var(--text-secondary);
margin: 0;
}
/* Result container */
.update-check-result {
padding: 20px;
}
/* Version info display */
.version-info {
margin-bottom: 16px;
}
.version-row {
display: flex;
align-items: center;
gap: 8px;
font-size: 16px;
margin: 8px 0;
}
.version-label {
color: var(--text-secondary);
min-width: 70px;
}
.version-value {
font-weight: 500;
}
.version-current .version-value {
color: var(--text-secondary);
}
.version-latest .version-value {
color: var(--text-primary);
}
/* Update type badges */
.update-badge {
display: inline-block;
padding: 2px 8px;
border-radius: 4px;
font-size: 11px;
font-weight: 600;
margin-left: 8px;
text-transform: uppercase;
}
.update-badge.patch {
background: #28a745;
color: white;
}
.update-badge.minor {
background: #17a2b8;
color: white;
}
.update-badge.major {
background: #fd7e14;
color: white;
}
.update-badge.critical {
background: #dc3545;
color: white;
}
/* Up to date message */
.update-up-to-date {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 30px 20px;
color: #28a745;
font-size: 18px;
}
.update-up-to-date .checkmark {
font-size: 48px;
margin-bottom: 8px;
}
/* Release notes */
.release-notes-details {
margin-top: 16px;
border: 1px solid var(--border-color);
border-radius: var(--border-radius);
}
.release-notes-details summary {
padding: 12px;
cursor: pointer;
background: var(--hover-tab-bg);
font-weight: 500;
}
.release-notes-details summary:hover {
background: var(--disabled-bg);
}
.release-notes-content {
padding: 12px;
max-height: 200px;
overflow-y: auto;
font-size: 13px;
line-height: 1.5;
}
.release-notes-content h3,
.release-notes-content h4 {
margin: 12px 0 8px;
font-size: 14px;
}
.release-notes-content h3:first-child,
.release-notes-content h4:first-child {
margin-top: 0;
}
.release-notes-content li {
margin: 4px 0;
padding-left: 4px;
}
.release-notes-content code {
background: var(--disabled-bg);
padding: 1px 4px;
border-radius: 3px;
font-family: var(--font-mono);
font-size: 12px;
}
/* Error state */
.update-check-error {
text-align: center;
padding: 30px 20px;
color: var(--text-secondary);
}
.update-check-error p {
margin: 0;
}
/* ============================================================
Dual-Track Update Modal Styles
============================================================ */
/* Modal sizing */
.modal-update-check {
max-width: 520px;
width: 90%;
}
/* Current version info at top */
.current-version-info {
display: flex;
align-items: center;
gap: 8px;
padding: 12px 16px;
background: var(--inactive-tab-bg);
border-radius: var(--border-radius);
margin-bottom: 16px;
font-size: 14px;
}
.current-version-info .version-label {
color: var(--text-secondary);
}
.current-version-info .version-value {
font-weight: 600;
color: var(--text-primary);
}
.current-version-info .commit-hash {
font-family: var(--font-mono);
font-size: 12px;
color: var(--text-muted);
}
/* Update track containers */
.update-track {
border: 1px solid var(--border-color);
border-radius: var(--border-radius-lg);
margin-bottom: 12px;
overflow: hidden;
}
.update-track:last-child {
margin-bottom: 0;
}
/* Track header */
.track-header {
display: flex;
align-items: center;
gap: 8px;
padding: 10px 14px;
background: var(--inactive-tab-bg);
border-bottom: 1px solid var(--border-color);
}
.track-icon {
font-size: 16px;
line-height: 1;
}
.track-title {
font-weight: 600;
font-size: 13px;
color: var(--text-primary);
}
.track-subtitle {
font-size: 11px;
color: var(--text-muted);
font-weight: normal;
}
/* Stable track specific colors */
.update-track-stable .track-header {
background: linear-gradient(135deg, rgba(40, 167, 69, 0.08) 0%, rgba(40, 167, 69, 0.04) 100%);
}
.update-track-stable .track-icon {
color: #28a745;
}
/* Dev track specific colors */
.update-track-dev .track-header {
background: linear-gradient(135deg, rgba(253, 126, 20, 0.08) 0%, rgba(253, 126, 20, 0.04) 100%);
}
.update-track-dev .track-icon {
color: #fd7e14;
}
/* Track content */
.track-content {
padding: 12px 14px;
}
/* Track status line */
.track-status {
display: flex;
align-items: center;
gap: 8px;
font-size: 13px;
}
.track-status .status-icon {
font-size: 14px;
font-weight: bold;
}
.track-status-ok {
color: #28a745;
}
.track-status-ok .status-icon {
color: #28a745;
}
.track-status-update {
color: var(--text-primary);
}
.track-status-update .status-icon {
color: #fd7e14;
}
/* Release notes section */
.release-notes-section {
margin-top: 10px;
}
/* Track actions */
.track-actions {
margin-top: 12px;
padding-top: 10px;
border-top: 1px solid var(--border-color);
}
/* Dev commits list */
.dev-commits-list {
margin-top: 10px;
padding: 10px;
background: var(--inactive-tab-bg);
border-radius: var(--border-radius);
}
.commits-header {
font-size: 11px;
font-weight: 600;
color: var(--text-secondary);
text-transform: uppercase;
letter-spacing: 0.3px;
margin-bottom: 8px;
}
.commits-list {
list-style: none;
padding: 0;
margin: 0;
}
.commits-list li {
font-size: 12px;
padding: 4px 0;
border-bottom: 1px solid var(--border-color);
line-height: 1.4;
display: flex;
gap: 8px;
align-items: flex-start;
}
.commits-list li:last-child {
border-bottom: none;
}
.commits-list code {
background: var(--disabled-bg);
padding: 2px 5px;
border-radius: 3px;
font-family: var(--font-mono);
font-size: 10px;
color: var(--primary-color);
flex-shrink: 0;
}
/* Ensure spinner shows properly in loading state */
.update-check-loading .spinner {
display: block;
}