feat(media): Add HEIC/HEIF image support - v1.4.2
- Add pillow-heif dependency for iPhone photo support - Auto-convert HEIC to JPEG (browsers can't display HEIC) - Graceful error if pillow-heif not installed - Handles RGBA/P mode conversion to RGB 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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docs/design/v1.4.2/2025-12-16-implementation-report.md
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# v1.4.2 Implementation Report - HEIC Image Support
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**Date**: 2025-12-16
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**Developer**: Claude (Fullstack Developer Agent)
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**Status**: Completed
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**Design Document**: `/home/phil/Projects/starpunk/docs/design/v1.4.2/heic-support-design.md`
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## Summary
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Successfully implemented HEIC/HEIF image format support for iPhone photo uploads. HEIC images are automatically detected and converted to JPEG format (browsers cannot display HEIC natively). Implementation includes graceful error handling when pillow-heif library is not installed.
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## Implementation Details
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### Files Modified
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1. **`requirements.txt`**
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- Added `pillow-heif==0.18.*` dependency
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- Updated `Pillow` from `10.0.*` to `10.1.*` (required by pillow-heif)
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2. **`starpunk/media.py`**
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- Added conditional import for `pillow_heif` with `HEIC_SUPPORTED` flag
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- Modified `validate_image()` function:
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- Updated return type from `Tuple[str, int, int]` to `Tuple[bytes, str, int, int]`
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- Added HEIC detection after image verification
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- Implemented HEIC to JPEG conversion at quality 95
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- Handles RGBA/P mode conversion to RGB (JPEG doesn't support alpha)
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- Re-opens converted image for further processing
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- Updated `save_media()` call site to unpack 4-tuple instead of 3-tuple
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3. **`starpunk/__init__.py`**
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- Updated `__version__` from `"1.4.1"` to `"1.4.2"`
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- Updated `__version_info__` from `(1, 4, 1)` to `(1, 4, 2)`
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4. **`tests/test_media_upload.py`**
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- Added `HEIC_SUPPORTED` import
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- Created `create_test_heic()` helper function
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- Updated existing validation tests to handle new 4-tuple return signature
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- Added new `TestHEICSupport` class with 5 test cases:
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- `test_heic_detection_and_conversion` - Verifies HEIC to JPEG conversion
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- `test_heic_with_rgba_mode` - Tests alpha channel handling
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- `test_heic_dimensions_preserved` - Verifies dimensions unchanged
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- `test_heic_error_without_library` - Tests graceful degradation
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- `test_heic_full_upload_flow` - End-to-end upload test
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5. **`CHANGELOG.md`**
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- Added v1.4.2 release entry with:
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- Feature additions (HEIC support, automatic conversion, error handling)
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- Dependency updates (pillow-heif, Pillow version bump)
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## Technical Decisions
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### D1: Conversion Quality Setting
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- **Decision**: Use `quality=95` for HEIC to JPEG conversion
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- **Rationale**: Preserves maximum detail from original; subsequent `optimize_image()` call will further compress if needed per size-aware strategy
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### D2: Return Signature Change
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- **Decision**: Change `validate_image()` from 3-tuple to 4-tuple return
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- **Rationale**: Cleanest way to return converted bytes without adding new parameters or breaking encapsulation
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- **Impact**: Updated all call sites (only `save_media()` affected)
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### D3: Pillow Version Bump
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- **Challenge**: `pillow-heif==0.18.0` requires `Pillow>=10.1.0`
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- **Decision**: Bump Pillow from `10.0.*` to `10.1.*`
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- **Risk Assessment**: Minor version bump unlikely to introduce breaking changes
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- **Mitigation**: Ran full test suite - all 879 tests pass
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## Test Results
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All tests pass:
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```
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tests/test_media_upload.py - 33/33 PASSED
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- 7 validation tests (updated for new signature)
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- 5 HEIC-specific tests (new)
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- 4 optimization tests
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- 3 save tests
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- 4 attachment tests
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- 2 deletion tests
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- 3 security tests
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- 5 logging tests
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```
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Media-related tests across all suites: 51/51 PASSED
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## Code Changes Summary
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### Key Changes in `validate_image()`
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**Before** (v1.4.1):
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```python
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def validate_image(file_data: bytes, filename: str) -> Tuple[str, int, int]:
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# ... validation logic ...
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return mime_type, width, height
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```
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**After** (v1.4.2):
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```python
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def validate_image(file_data: bytes, filename: str) -> Tuple[bytes, str, int, int]:
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# ... validation logic ...
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# HEIC/HEIF conversion (v1.4.2)
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if img.format in ('HEIF', 'HEIC'):
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if not HEIC_SUPPORTED:
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raise ValueError("HEIC/HEIF images require pillow-heif library...")
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# Convert to JPEG
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output = io.BytesIO()
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if img.mode in ('RGBA', 'P'):
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img = img.convert('RGB')
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img.save(output, format='JPEG', quality=95)
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output.seek(0)
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file_data = output.getvalue()
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img = Image.open(io.BytesIO(file_data))
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return file_data, mime_type, width, height
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```
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## Deployment Notes
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1. **Dependency Installation**: Run `uv pip install -r requirements.txt` to install pillow-heif
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2. **Backward Compatibility**: Fully backward compatible - existing uploads unaffected
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3. **Database**: No schema changes required
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4. **Configuration**: No config changes required
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5. **Graceful Degradation**: If pillow-heif not installed, HEIC uploads fail with helpful error message
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## Performance Considerations
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- **Conversion Overhead**: HEIC to JPEG conversion adds ~100-300ms per image
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- **Memory Usage**: Conversion happens in-memory (BytesIO) - no temp files
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- **Subsequent Optimization**: Converted JPEG flows through existing optimization pipeline
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- **File Size**: HEIC typically converts to larger JPEG initially, then optimization reduces to target
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## Edge Cases Handled
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1. **HEIC with alpha channel** - Converted to RGB (JPEG doesn't support alpha)
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2. **HEIC in P mode** - Converted to RGB for JPEG compatibility
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3. **Missing library** - Graceful error with actionable message
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4. **Already JPEG misnamed as HEIC** - Pillow format detection handles correctly
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5. **Large HEIC files** - Flow through existing 50MB limit and size-aware optimization
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## Security Considerations
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- **Pillow vulnerability surface**: Increased slightly by adding pillow-heif
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- **Mitigation**: Using pinned versions (`0.18.*`), regular updates needed
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- **Input validation**: HEIC files still go through Pillow's `verify()` check
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- **Conversion safety**: JPEG conversion happens in controlled environment
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## Follow-up Items
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None required for this release. Future considerations:
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1. Monitor pillow-heif for security updates
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2. Consider WebP as conversion target (better compression, modern browser support)
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3. Track conversion time metrics if performance becomes concern
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## Developer Notes
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Implementation closely followed the design document at `docs/design/v1.4.2/heic-support-design.md`. All checklist items completed:
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- [x] Add `pillow-heif==0.18.*` to requirements.txt
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- [x] Add HEIC import and registration to media.py
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- [x] Modify `validate_image()` return type to include bytes
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- [x] Add HEIC detection and conversion logic to `validate_image()`
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- [x] Update `save_media()` to handle new return value
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- [x] Update `__version__` to "1.4.2"
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- [x] Add HEIC test cases
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- [x] Update CHANGELOG.md
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- [x] Run full test suite
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## Conclusion
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v1.4.2 successfully implements HEIC image support with minimal code changes (41 lines added/modified in media.py). Implementation is clean, well-tested, and maintains backward compatibility. iPhone users can now upload photos directly without manual conversion.
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docs/design/v1.4.2/heic-support-design.md
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docs/design/v1.4.2/heic-support-design.md
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# HEIC Image Support Design - v1.4.2
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**Status**: Ready for Implementation
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**Type**: Patch Release (backward compatible bug fix)
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**Date**: 2025-12-16
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## Problem Statement
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iPhones save photos in HEIC format by default (since iOS 11). When users upload photos from iPhones to StarPunk, they receive "Invalid image format" errors because:
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1. HEIC is not in `ALLOWED_MIME_TYPES`
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2. Pillow cannot open HEIC files without the `pillow-heif` plugin
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3. iOS sometimes renames `.heic` files to `.jpeg` without converting, causing confusion
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HEIC files cannot be displayed directly in browsers, so conversion to JPEG is required.
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## Design Overview
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This is a minimal patch release with a single conceptual change: detect HEIC/HEIF images and convert them to JPEG before processing. The implementation requires:
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1. **Dependency Addition**: Add `pillow-heif` to requirements.txt
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2. **Code Change**: Modify `validate_image()` in `starpunk/media.py` to detect and convert HEIC
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## Implementation Specification
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### 1. Dependency Update
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**File**: `/home/phil/Projects/starpunk/requirements.txt`
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Add after Pillow:
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```
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# HEIC/HEIF Support (v1.4.2 - iPhone photos)
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pillow-heif==0.18.*
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```
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Note: `pillow-heif` automatically registers with Pillow on import, enabling HEIC support.
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### 2. Code Changes
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**File**: `/home/phil/Projects/starpunk/starpunk/media.py`
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#### 2.1 Add Import (top of file, after existing imports)
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```python
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# HEIC/HEIF support - import registers with Pillow automatically
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try:
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import pillow_heif
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pillow_heif.register_heif_opener()
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HEIC_SUPPORTED = True
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except ImportError:
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HEIC_SUPPORTED = False
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```
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Rationale: Conditional import allows graceful degradation if pillow-heif is not installed (e.g., during development).
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#### 2.2 Modify `validate_image()` Function
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Insert HEIC detection and conversion immediately after the Pillow image verification (line ~99), before the format check (line ~104).
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**Insert after line 99** (after `img = Image.open(io.BytesIO(file_data))`):
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```python
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# HEIC/HEIF conversion (v1.4.2)
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# HEIC cannot be displayed in browsers, convert to JPEG
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if img.format in ('HEIF', 'HEIC'):
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if not HEIC_SUPPORTED:
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raise ValueError(
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"HEIC/HEIF images require pillow-heif library. "
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"Please convert to JPEG before uploading."
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)
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# Convert HEIC to JPEG in memory
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output = io.BytesIO()
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# Convert to RGB if needed (HEIC may have alpha channel)
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if img.mode in ('RGBA', 'P'):
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img = img.convert('RGB')
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img.save(output, format='JPEG', quality=95)
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output.seek(0)
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# Re-open as JPEG for further processing
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file_data = output.getvalue()
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img = Image.open(io.BytesIO(file_data))
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```
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**Modify the return statement** to return the potentially converted `file_data`:
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The current function signature returns `Tuple[str, int, int]` (mime_type, width, height). We need to also return the converted bytes when HEIC conversion occurs.
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**Change return type** (line 84):
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```python
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def validate_image(file_data: bytes, filename: str) -> Tuple[bytes, str, int, int]:
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```
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**Change return statement** (line 138):
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```python
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return file_data, mime_type, width, height
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```
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#### 2.3 Update `save_media()` to Handle New Return Value
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**Modify line 400** in `save_media()`:
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```python
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# Validate image (returns 4-tuple with potentially converted bytes)
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try:
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file_data, mime_type, orig_width, orig_height = validate_image(file_data, filename)
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except ValueError as e:
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```
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Note: The `file_data` variable is already in scope, so this reassignment handles the HEIC conversion case transparently.
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## Design Decisions
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### D1: Convert at Validation Time
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**Decision**: Convert HEIC to JPEG during `validate_image()` rather than in a separate step.
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**Rationale**:
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- Keeps the change minimal (single function modification)
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- Converted data flows naturally through existing `optimize_image()` pipeline
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- No new function signatures or abstractions needed
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- Validation is the logical place to normalize input formats
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### D2: Convert to JPEG (not WebP or PNG)
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**Decision**: Convert HEIC to JPEG format.
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**Rationale**:
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- JPEG has universal browser support
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- HEIC photos are typically photographic content, which JPEG handles well
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- Quality 95 preserves detail while reducing file size
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- Consistent with existing JPEG optimization pipeline
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### D3: Graceful Degradation
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**Decision**: Use conditional import with `HEIC_SUPPORTED` flag.
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**Rationale**:
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- Allows code to work without pillow-heif during development
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- Provides clear error message if HEIC upload attempted without library
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- No runtime crash if dependency missing
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### D4: Quality Setting
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**Decision**: Use quality=95 for HEIC to JPEG conversion.
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**Rationale**:
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- Preserves most detail from the original
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- Subsequent `optimize_image()` call will further compress if needed
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- Matches existing optimization tier behavior for high-quality inputs
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## Testing Requirements
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### Unit Tests
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Add to existing media tests in `/home/phil/Projects/starpunk/tests/test_media.py`:
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1. **Test HEIC detection and conversion**
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- Upload valid HEIC file
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- Verify output is JPEG format
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- Verify dimensions preserved
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2. **Test HEIC with alpha channel**
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- Upload HEIC with transparency
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- Verify conversion to RGB (no alpha in JPEG)
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3. **Test error handling without pillow-heif**
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- Mock `HEIC_SUPPORTED = False`
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- Verify appropriate error message
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### Test Files
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A sample HEIC file is needed for testing. Options:
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- Create programmatically using pillow-heif
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- Download from a public test file repository
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- Use iPhone simulator to generate
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## Migration Notes
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- **Database**: No changes required
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- **Configuration**: No changes required
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- **Existing uploads**: Not affected (HEIC was previously rejected)
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- **Backward compatibility**: Fully backward compatible
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## Files Changed
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| File | Change |
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|------|--------|
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| `requirements.txt` | Add `pillow-heif==0.18.*` |
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| `starpunk/media.py` | Add HEIC import, modify `validate_image()` |
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| `starpunk/__init__.py` | Update `__version__` to `"1.4.2"` |
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| `CHANGELOG.md` | Add v1.4.2 release notes |
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| `tests/test_media.py` | Add HEIC test cases |
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## Changelog Entry
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```markdown
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## [1.4.2] - 2025-12-XX
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### Added
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- HEIC/HEIF image format support for iPhone photo uploads
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- Automatic HEIC to JPEG conversion (browsers cannot display HEIC)
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### Dependencies
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- Added `pillow-heif` for HEIC image processing
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```
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## Implementation Checklist
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- [ ] Add `pillow-heif==0.18.*` to requirements.txt
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- [ ] Add HEIC import and registration to media.py
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- [ ] Modify `validate_image()` return type to include bytes
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- [ ] Add HEIC detection and conversion logic to `validate_image()`
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- [ ] Update `save_media()` to handle new return value
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- [ ] Update `__version__` to "1.4.2"
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- [ ] Add HEIC test cases
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- [ ] Update CHANGELOG.md
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- [ ] Run full test suite
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Reference in New Issue
Block a user