Docs: Restructure development plan with new priorities
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@@ -80,7 +80,32 @@ Based on the "DaVinci Resolve 18 Supported Codec List.pdf" and web search result
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6. **Error Handling:** Add `try-except` blocks for file operations, `subprocess` calls, and `ffprobe` parsing.
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7. **Basic Testing:** Test with a few sample video files (e.g., H.264/AAC MP4) to ensure conversion to DNxHR/PCM MOV works.
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8. **Packaging and Bundling:** (Completed) Used PyInstaller to create a standalone executable, bundling `ffmpeg` and `ffprobe` binaries. This involved switching from `ffmpeg-python` to direct `subprocess` calls to resolve bundling issues. The executable is now functional.
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9. **Error Handling for Bundled Tools:** Implement checks to ensure bundled `ffmpeg`/`ffprobe` are accessible and provide clear error messages if not.
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## 9. Current Status
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The core functionality of the Video Converter is complete. The script successfully converts video files to DaVinci Resolve compatible formats (DNxHD/HR video, PCM audio in .mov container) and is packaged as a standalone executable for Linux. Error handling has been strengthened, and the default quality profiles have been refined based on user feedback.
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## 10. Future Development Priorities
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Based on user feedback and project goals, the next development priorities are:
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1. **`yt-dlp` Integration:**
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* **Goal:** Allow users to directly download videos from supported online platforms (e.g., YouTube) and then convert them to DaVinci Resolve compatible formats in a single workflow.
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* **Details:** Integrate `yt-dlp` (a Python library) to handle video downloading. The script would prompt for a URL, download the video, and then proceed with the existing conversion process.
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2. **Quality Profile Picker (Command-Line Option):**
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* **Goal:** Provide users with command-line options to select different quality/file size profiles for the output video (e.g., `--dnxhr_lb`, `--dnxhr_sq`, `--dnxhr_hq`, `--dnxhr_hqx`).
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* **Details:** Add a new `argparse` argument (e.g., `--quality [low|medium|high|archive]`) that maps to specific `dnxhd` profiles. This will give users more control over the size/quality trade-off.
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3. **Graphical User Interface (GUI):**
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* **Goal:** Develop a user-friendly graphical interface for the application.
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* **Details:** This would involve choosing a Python GUI framework (e.g., `tkinter`, `PyQt`, `Kivy`) and designing an interface that allows users to select input/output files, choose quality profiles, view conversion progress, and manage other settings visually. This would significantly enhance the user experience for non-CLI users.
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## 11. Other Future Considerations
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* **Batch Processing:** Allow conversion of multiple files at once.
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* **Refine Error Handling/Logging:** Add more detailed logging to a file for easier debugging.
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* **Configuration File:** Enable users to save preferred codec/profile settings.
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* **Progress Bar:** Implement a progress indicator for long conversions.
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## 6. Directory and File Structure
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