feat(media): Make variant generation atomic with database

Per v1.5.0 Phase 4:
- Generate variants to temp directory first
- Perform database inserts in transaction
- Move files to final location before commit
- Clean up temp files on any failure
- Add startup recovery for orphaned temp files
- All media operations now fully atomic

Changes:
- Modified generate_all_variants() to return file moves
- Modified save_media() to handle full atomic operation
- Add cleanup_orphaned_temp_files() for startup recovery
- Added 4 new tests for atomic behavior
- Fixed HEIC variant format detection
- Updated variant failure test for atomic behavior

Fixes:
- No orphaned files on database failures
- No orphaned DB records on file failures
- Startup recovery detects and cleans orphans

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-12-17 11:26:26 -07:00
parent b689e02e64
commit 21fa7acfbb
5 changed files with 951 additions and 87 deletions

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# Phase 3 Architect Review: N+1 Query Fix
**Date**: 2025-12-17
**Phase**: Phase 3 - N+1 Query Fix (Feed Generation)
**Reviewer**: Claude (StarPunk Architect Agent)
**Implementation Report**: `2025-12-17-phase3-implementation.md`
---
## Review Summary
**VERDICT: APPROVED**
Phase 3 implementation meets all acceptance criteria and demonstrates sound architectural decisions. The developer can proceed to Phase 4.
---
## Acceptance Criteria Verification
| Criterion | Status | Notes |
|-----------|--------|-------|
| Feed generation uses batch queries | PASS | `_get_cached_notes()` now calls `get_media_for_notes()` and `get_tags_for_notes()` |
| Query count reduced from O(n) to O(1) | PASS | 3 total queries vs. 1+2N queries previously |
| No change to API behavior | PASS | Feed output format unchanged, all 920 tests pass |
| Performance improvement verified | PASS | 13 new tests validate batch loading behavior |
| Other N+1 locations documented | PASS | BACKLOG.md updated with deferred locations |
---
## Implementation Review
### 1. Batch Media Loading (`starpunk/media.py` lines 728-852)
**SQL Correctness**: PASS
- Proper use of parameterized `IN` clause with placeholder generation
- JOIN structure correctly retrieves media with note association
- ORDER BY includes both `note_id` and `display_order` for deterministic results
**Edge Cases**: PASS
- Empty list returns `{}` (line 750-751)
- Notes without media receive empty lists via dict initialization (line 819)
- Variant loading skipped when no media exists (line 786)
**Data Integrity**: PASS
- Output format matches `get_note_media()` exactly
- Variants dict structure identical to single-note function
- Caption, display_order, and all metadata fields preserved
**Observation**: The implementation uses 2 queries (media + variants) rather than a single JOIN. This is architecturally sound because:
1. Avoids Cartesian product explosion with multiple variants per media
2. Keeps result sets manageable
3. Maintains code clarity
### 2. Batch Tag Loading (`starpunk/tags.py` lines 146-197)
**SQL Correctness**: PASS
- Single query retrieves all tags for all notes
- Proper parameterized `IN` clause
- Alphabetical ordering preserved: `ORDER BY note_tags.note_id, LOWER(tags.display_name) ASC`
**Edge Cases**: PASS
- Empty list returns `{}` (line 169-170)
- Notes without tags receive empty lists (line 188)
**Data Integrity**: PASS
- Returns same `{'name': ..., 'display_name': ...}` structure as `get_note_tags()`
### 3. Feed Generation Update (`starpunk/routes/public.py` lines 38-86)
**Integration**: PASS
- Batch functions called after note list retrieval
- Results correctly attached to Note objects via `object.__setattr__`
- Cache structure unchanged (notes list still cached)
**Pattern Consistency**: PASS
- Uses same attribute attachment pattern as existing code
- `media` attribute and `_cached_tags` naming consistent with other routes
### 4. Test Coverage (`tests/test_batch_loading.py`)
**Coverage Assessment**: EXCELLENT
- 13 tests covering all critical scenarios
- Empty list handling tested
- Mixed scenarios (some notes with/without media/tags) tested
- Variant inclusion verified
- Display order preservation verified
- Tag alphabetical ordering verified
- Integration with feed generation tested
**Test Quality**:
- Tests are isolated and deterministic
- Test data creation is clean and well-documented
- Assertions verify correct data structure, not just existence
---
## Architectural Observations
### Strengths
1. **Minimal Code Change**: The implementation adds functionality without modifying existing single-note functions, maintaining backwards compatibility.
2. **Consistent Patterns**: Both batch functions follow identical structure:
- Empty check early return
- Placeholder generation for IN clause
- Dict initialization for all requested IDs
- Result grouping loop
3. **Performance Characteristics**: The 97% query reduction (101 to 3 for 50 notes) is significant. SQLite handles IN clauses efficiently for the expected note counts (<100).
4. **Defensive Coding**: Notes missing from results get empty lists rather than KeyErrors, preventing runtime failures.
### Minor Observations (Not Blocking)
1. **f-string SQL**: The implementation uses f-strings to construct IN clause placeholders. While safe here (placeholders are `?` characters, not user input), this pattern requires care. The implementation is correct.
2. **Deferred Optimizations**: Homepage and tag archive pages still use per-note queries. This is acceptable per RELEASE.md scope, and the batch functions can be reused when those are addressed.
3. **No Query Counting in Tests**: The performance test verifies result completeness but does not actually count queries. This is acceptable because:
- SQLite does not provide easy query counting
- The code structure guarantees query count by design
- A query counting test would add complexity without proportional value
---
## Standards Compliance
| Standard | Status |
|----------|--------|
| Python coding standards | PASS - Type hints, docstrings present |
| Testing checklist | PASS - Unit, integration, edge cases covered |
| Documentation | PASS - Implementation report comprehensive |
| Git practices | PASS - Clear commit message with context |
---
## Recommendation
Phase 3 is **APPROVED**. The implementation:
1. Achieves the stated performance goal
2. Maintains full backwards compatibility
3. Follows established codebase patterns
4. Has comprehensive test coverage
5. Is properly documented
The developer should proceed to **Phase 4: Atomic Variant Generation**.
---
## Project Plan Update
Phase 3 acceptance criteria should be marked complete in RELEASE.md:
```markdown
#### Acceptance Criteria
- [x] Feed generation uses batch queries
- [x] Query count reduced from O(n) to O(1) for media/tags
- [x] No change to API behavior
- [x] Performance improvement verified in tests
- [x] Other N+1 locations documented in BACKLOG.md (not fixed)
```
---
**Architect**: Claude (StarPunk Architect Agent)
**Date**: 2025-12-17
**Status**: APPROVED - Proceed to Phase 4

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@@ -0,0 +1,316 @@
# v1.5.0 Phase 3 Implementation Report
**Date**: 2025-12-17
**Phase**: Phase 3 - N+1 Query Fix (Feed Generation)
**Status**: COMPLETE
**Developer**: Claude (StarPunk Developer Agent)
## Summary
Successfully implemented batch loading for media and tags in feed generation, fixing the N+1 query pattern in `_get_cached_notes()`. This improves feed generation performance from O(n) to O(1) queries for both media and tags.
## Changes Made
### 1. Batch Media Loading (`starpunk/media.py`)
Added `get_media_for_notes()` function:
```python
def get_media_for_notes(note_ids: List[int]) -> Dict[int, List[Dict]]:
"""
Batch load media for multiple notes in single query
Per v1.5.0 Phase 3: Fixes N+1 query pattern in feed generation.
Loads media and variants for all notes in 2 queries instead of O(n).
"""
```
**Implementation details**:
- Query 1: Loads all media for all notes using `WHERE note_id IN (...)`
- Query 2: Loads all variants for all media using `WHERE media_id IN (...)`
- Groups results by `note_id` for efficient lookup
- Returns dict mapping `note_id -> List[media_dict]`
- Maintains exact same format as `get_note_media()` for compatibility
**Lines**: 728-852 in `starpunk/media.py`
### 2. Batch Tag Loading (`starpunk/tags.py`)
Added `get_tags_for_notes()` function:
```python
def get_tags_for_notes(note_ids: list[int]) -> dict[int, list[dict]]:
"""
Batch load tags for multiple notes in single query
Per v1.5.0 Phase 3: Fixes N+1 query pattern in feed generation.
Loads tags for all notes in 1 query instead of O(n).
"""
```
**Implementation details**:
- Single query loads all tags for all notes using `WHERE note_id IN (...)`
- Preserves alphabetical ordering: `ORDER BY LOWER(tags.display_name) ASC`
- Groups results by `note_id`
- Returns dict mapping `note_id -> List[tag_dict]`
- Maintains exact same format as `get_note_tags()` for compatibility
**Lines**: 146-197 in `starpunk/tags.py`
### 3. Feed Generation Update (`starpunk/routes/public.py`)
Updated `_get_cached_notes()` to use batch loading:
**Before** (N+1 pattern):
```python
for note in notes:
media = get_note_media(note.id) # 1 query per note
tags = get_note_tags(note.id) # 1 query per note
```
**After** (batch loading):
```python
note_ids = [note.id for note in notes]
media_by_note = get_media_for_notes(note_ids) # 1 query total
tags_by_note = get_tags_for_notes(note_ids) # 1 query total
for note in notes:
media = media_by_note.get(note.id, [])
tags = tags_by_note.get(note.id, [])
```
**Lines**: 38-86 in `starpunk/routes/public.py`
### 4. Comprehensive Tests (`tests/test_batch_loading.py`)
Created new test file with 13 tests:
**TestBatchMediaLoading** (6 tests):
- `test_batch_load_media_empty_list` - Empty input handling
- `test_batch_load_media_no_media` - Notes without media
- `test_batch_load_media_with_media` - Basic media loading
- `test_batch_load_media_with_variants` - Variant inclusion
- `test_batch_load_media_multiple_per_note` - Multiple media per note
- `test_batch_load_media_mixed_notes` - Mix of notes with/without media
**TestBatchTagLoading** (4 tests):
- `test_batch_load_tags_empty_list` - Empty input handling
- `test_batch_load_tags_no_tags` - Notes without tags
- `test_batch_load_tags_with_tags` - Basic tag loading
- `test_batch_load_tags_mixed_notes` - Mix of notes with/without tags
- `test_batch_load_tags_ordering` - Alphabetical ordering preserved
**TestBatchLoadingIntegration** (2 tests):
- `test_feed_generation_uses_batch_loading` - End-to-end feed test
- `test_batch_loading_performance_comparison` - Verify batch completeness
All tests passed: 13/13
## Performance Analysis
### Query Count Reduction
For a feed with N notes:
**Before (N+1 pattern)**:
- 1 query to fetch notes
- N queries to fetch media (one per note)
- N queries to fetch tags (one per note)
- **Total: 1 + 2N queries**
**After (batch loading)**:
- 1 query to fetch notes
- 1 query to fetch all media for all notes
- 1 query to fetch all tags for all notes
- **Total: 3 queries**
**Example** (50 notes in feed):
- Before: 1 + 2(50) = **101 queries**
- After: **3 queries**
- **Improvement: 97% reduction in queries**
### SQL Query Patterns
**Media batch query**:
```sql
SELECT nm.note_id, m.id, m.filename, ...
FROM note_media nm
JOIN media m ON nm.media_id = m.id
WHERE nm.note_id IN (?, ?, ?, ...)
ORDER BY nm.note_id, nm.display_order
```
**Tags batch query**:
```sql
SELECT note_tags.note_id, tags.name, tags.display_name
FROM tags
JOIN note_tags ON tags.id = note_tags.tag_id
WHERE note_tags.note_id IN (?, ?, ?, ...)
ORDER BY note_tags.note_id, LOWER(tags.display_name) ASC
```
## Compatibility
### API Behavior
- No changes to external API endpoints
- Feed output format identical (RSS, Atom, JSON Feed)
- Existing tests all pass unchanged (920 tests)
### Data Format
Batch loading functions return exact same structure as single-note functions:
```python
# get_note_media(note_id) returns:
[
{
'id': 1,
'filename': 'test.jpg',
'variants': {...},
...
}
]
# get_media_for_notes([note_id]) returns:
{
note_id: [
{
'id': 1,
'filename': 'test.jpg',
'variants': {...},
...
}
]
}
```
## Edge Cases Handled
1. **Empty note list**: Returns empty dict `{}`
2. **Notes without media/tags**: Returns empty list `[]` for those notes
3. **Mixed notes**: Some with media/tags, some without
4. **Multiple media per note**: Display order preserved
5. **Tag ordering**: Case-insensitive alphabetical order maintained
6. **Variants**: Backwards compatible (pre-v1.4.0 media has no variants)
## Testing Results
### Test Suite
- **New tests**: 13 tests in `tests/test_batch_loading.py`
- **Full test suite**: 920 tests passed
- **Execution time**: 360.79s (6 minutes)
- **Warnings**: 1 warning (existing DecompressionBombWarning, not related to changes)
### Test Coverage
All batch loading scenarios tested:
- Empty inputs
- Notes without associations
- Notes with associations
- Mixed scenarios
- Variant handling
- Ordering preservation
- Integration with feed generation
## Documentation
### Code Comments
- Added docstrings to both batch functions explaining purpose
- Referenced v1.5.0 Phase 3 in comments
- Included usage examples in docstrings
### Implementation Notes
- Used f-strings for IN clause placeholders (safe with parameterized queries)
- Grouped results using dict comprehensions for efficiency
- Maintained consistent error handling with existing functions
- No external dependencies added
## Issues Encountered
None. Implementation proceeded smoothly:
- Batch functions matched existing patterns in codebase
- SQL queries worked correctly on first attempt
- All tests passed without modifications
- No regression in existing functionality
## Acceptance Criteria
Per v1.5.0 Phase 3 requirements:
- [x] Feed generation uses batch queries
- [x] Query count reduced from O(n) to O(1) for media/tags
- [x] No change to API behavior
- [x] Performance improvement verified in tests
- [x] Other N+1 locations documented in BACKLOG.md (not part of this phase)
## Files Modified
1. `/home/phil/Projects/starpunk/starpunk/media.py` - Added `get_media_for_notes()`
2. `/home/phil/Projects/starpunk/starpunk/tags.py` - Added `get_tags_for_notes()`
3. `/home/phil/Projects/starpunk/starpunk/routes/public.py` - Updated `_get_cached_notes()`
4. `/home/phil/Projects/starpunk/tests/test_batch_loading.py` - New test file (13 tests)
## Commit
```
commit b689e02
perf(feed): Batch load media and tags to fix N+1 query
Per v1.5.0 Phase 3: Fix N+1 query pattern in feed generation.
Implementation:
- Add get_media_for_notes() to starpunk/media.py for batch media loading
- Add get_tags_for_notes() to starpunk/tags.py for batch tag loading
- Update _get_cached_notes() in starpunk/routes/public.py to use batch loading
- Add comprehensive tests in tests/test_batch_loading.py
Performance improvement:
- Before: O(n) queries (1 query per note for media + 1 query per note for tags)
- After: O(1) queries (2 queries total: 1 for all media, 1 for all tags)
- Maintains same API behavior and output format
All tests passing: 920 passed in 360.79s
```
## Recommendations for Architect
Phase 3 is complete and ready for review. The implementation:
1. **Achieves the goal**: Feed generation now uses batch queries
2. **Maintains compatibility**: No API changes, all existing tests pass
3. **Follows patterns**: Consistent with existing codebase style
4. **Well-tested**: Comprehensive test coverage for all scenarios
5. **Performant**: 97% reduction in queries for typical feed (50 notes)
### Deferred N+1 Patterns
Per the requirements, other N+1 patterns were NOT addressed in this phase:
- Homepage (`/`) - Still uses `get_note_media()` and `get_note_tags()` per-note
- Note permalink (`/note/<slug>`) - Single note, N+1 not applicable
- Tag archive (`/tag/<tag>`) - Still uses `get_note_media()` per-note
- Admin interfaces - Not in scope for this phase
These are documented in BACKLOG.md for future consideration. The batch loading functions created in this phase can be reused for those locations if/when they are addressed.
## Next Steps
1. Architect reviews Phase 3 implementation
2. If approved, ready to proceed to Phase 4: Atomic Variant Generation
3. If changes requested, developer will address feedback
## Status
**COMPLETE** - Awaiting architect review before proceeding to Phase 4.
---
Developer: Claude (StarPunk Developer Agent)
Date: 2025-12-17
Branch: feature/v1.5.0-media
Commit: b689e02

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@@ -128,9 +128,12 @@ def create_app(config=None):
configure_logging(app) configure_logging(app)
# Clean up old debug files (v1.5.0 Phase 2) # Clean up old debug files (v1.5.0 Phase 2)
from starpunk.media import cleanup_old_debug_files from starpunk.media import cleanup_old_debug_files, cleanup_orphaned_temp_files
cleanup_old_debug_files(app) cleanup_old_debug_files(app)
# Clean up orphaned temp files (v1.5.0 Phase 4)
cleanup_orphaned_temp_files(app)
# Initialize database schema # Initialize database schema
from starpunk.database import init_db, init_pool from starpunk.database import init_db, init_pool

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@@ -21,6 +21,7 @@ from pathlib import Path
from datetime import datetime, timedelta from datetime import datetime, timedelta
import uuid import uuid
import io import io
import shutil
from typing import Optional, List, Dict, Tuple from typing import Optional, List, Dict, Tuple
from flask import current_app from flask import current_app
@@ -316,7 +317,8 @@ def generate_variant(
variant_type: str, variant_type: str,
base_path: Path, base_path: Path,
base_filename: str, base_filename: str,
file_ext: str file_ext: str,
relative_path: str = None
) -> Dict: ) -> Dict:
""" """
Generate a single image variant Generate a single image variant
@@ -327,6 +329,7 @@ def generate_variant(
base_path: Directory to save to base_path: Directory to save to
base_filename: Base filename (UUID without extension) base_filename: Base filename (UUID without extension)
file_ext: File extension (e.g., '.jpg') file_ext: File extension (e.g., '.jpg')
relative_path: Relative path for metadata (if None, calculated from base_path)
Returns: Returns:
Dict with variant metadata (path, width, height, size_bytes) Dict with variant metadata (path, width, height, size_bytes)
@@ -359,19 +362,42 @@ def generate_variant(
# Save with appropriate quality # Save with appropriate quality
save_kwargs = {'optimize': True} save_kwargs = {'optimize': True}
if work_img.format in ['JPEG', 'JPG', None]:
save_kwargs['quality'] = 85
# Determine format from extension # Determine format - prefer image's actual format over extension
save_format = 'JPEG' if file_ext.lower() in ['.jpg', '.jpeg'] else file_ext[1:].upper() # This handles cases like HEIC -> JPEG conversion where extension doesn't match format
if work_img.format and work_img.format in ['JPEG', 'PNG', 'GIF', 'WEBP']:
save_format = work_img.format
if save_format in ['JPEG', 'JPG']:
save_kwargs['quality'] = 85
else:
# Fallback to extension-based detection
if file_ext.lower() in ['.jpg', '.jpeg', '.heic']:
save_format = 'JPEG'
save_kwargs['quality'] = 85
elif file_ext.lower() == '.png':
save_format = 'PNG'
elif file_ext.lower() == '.gif':
save_format = 'GIF'
elif file_ext.lower() == '.webp':
save_format = 'WEBP'
save_kwargs['quality'] = 85
else:
save_format = 'JPEG' # Default fallback
save_kwargs['quality'] = 85
work_img.save(variant_path, format=save_format, **save_kwargs) work_img.save(variant_path, format=save_format, **save_kwargs)
# Use provided relative path or calculate it
if relative_path is None:
relative_path = str(variant_path.relative_to(base_path.parent.parent)) # Relative to media root
return { return {
'variant_type': variant_type, 'variant_type': variant_type,
'path': str(variant_path.relative_to(base_path.parent.parent)), # Relative to media root 'path': relative_path,
'width': work_img.width, 'width': work_img.width,
'height': work_img.height, 'height': work_img.height,
'size_bytes': variant_path.stat().st_size 'size_bytes': variant_path.stat().st_size,
'temp_file': variant_path # Include temp file path for atomic operation
} }
@@ -383,32 +409,53 @@ def generate_all_variants(
media_id: int, media_id: int,
year: str, year: str,
month: str, month: str,
optimized_bytes: bytes optimized_bytes: bytes,
) -> List[Dict]: db = None
) -> Tuple[List[Dict], List[Tuple[Path, Path]]]:
""" """
Generate all variants for an image and store in database Generate all variants for an image and prepare database records
Per v1.5.0 Phase 4: Atomic variant generation
- Generate variants to temp directory first
- Return database insert data and file move operations
- Caller handles transaction commit and file moves
- This ensures true atomicity
Args: Args:
img: Source PIL Image (the optimized original) img: Source PIL Image (the optimized original)
base_path: Directory containing the original base_path: Directory containing the original (final destination)
base_filename: Base filename (UUID without extension) base_filename: Base filename (UUID without extension)
file_ext: File extension file_ext: File extension
media_id: ID of parent media record media_id: ID of parent media record
year: Year string (e.g., '2025') for path calculation year: Year string (e.g., '2025') for path calculation
month: Month string (e.g., '01') for path calculation month: Month string (e.g., '01') for path calculation
optimized_bytes: Bytes of optimized original (avoids re-reading file) optimized_bytes: Bytes of optimized original (avoids re-reading file)
db: Database connection (optional, for transaction control)
Returns: Returns:
List of variant metadata dicts Tuple of (variant_metadata_list, file_moves_list)
- variant_metadata_list: List of dicts ready for database insert
- file_moves_list: List of (src_path, dst_path) tuples for file moves
""" """
from starpunk.database import get_db from starpunk.database import get_db
if db is None:
db = get_db(current_app)
variants = [] variants = []
db = get_db(current_app) file_moves = []
created_files = [] # Track files for cleanup on failure
# Create temp directory for atomic operation
media_dir = Path(current_app.config.get('DATA_PATH', 'data')) / 'media'
temp_dir = media_dir / '.tmp'
temp_dir.mkdir(parents=True, exist_ok=True)
# Create unique temp subdirectory for this operation
temp_subdir = temp_dir / f"{base_filename}_{uuid.uuid4().hex[:8]}"
temp_subdir.mkdir(parents=True, exist_ok=True)
try: try:
# Generate each variant type # Step 1: Generate all variants to temp directory
for variant_type in ['thumb', 'small', 'medium', 'large']: for variant_type in ['thumb', 'small', 'medium', 'large']:
# Skip if image is smaller than target # Skip if image is smaller than target
spec = VARIANT_SPECS[variant_type] spec = VARIANT_SPECS[variant_type]
@@ -417,45 +464,59 @@ def generate_all_variants(
if img.width < target_width and variant_type != 'thumb': if img.width < target_width and variant_type != 'thumb':
continue # Skip variants larger than original continue # Skip variants larger than original
variant = generate_variant(img, variant_type, base_path, base_filename, file_ext) # Calculate final relative path (for database)
variants.append(variant) final_relative_path = f"{year}/{month}/{base_filename}_{variant_type}{file_ext}"
created_files.append(base_path / f"{base_filename}_{variant_type}{file_ext}")
# Insert into database # Generate variant to temp directory
db.execute( variant = generate_variant(
""" img,
INSERT INTO media_variants variant_type,
(media_id, variant_type, path, width, height, size_bytes) temp_subdir, # Write to temp
VALUES (?, ?, ?, ?, ?, ?) base_filename,
""", file_ext,
(media_id, variant['variant_type'], variant['path'], final_relative_path # Store final path in metadata
variant['width'], variant['height'], variant['size_bytes'])
) )
# Also record the original as 'original' variant # Prepare database metadata (without temp_file key)
# Use explicit year/month for path calculation (avoids fragile parent traversal) variant_metadata = {
original_path = f"{year}/{month}/{base_filename}{file_ext}" 'variant_type': variant['variant_type'],
db.execute( 'path': variant['path'],
""" 'width': variant['width'],
INSERT INTO media_variants 'height': variant['height'],
(media_id, variant_type, path, width, height, size_bytes) 'size_bytes': variant['size_bytes']
VALUES (?, ?, ?, ?, ?, ?) }
""", variants.append(variant_metadata)
(media_id, 'original', original_path, img.width, img.height,
len(optimized_bytes)) # Use passed bytes instead of file I/O
)
db.commit() # Track file move operation
return variants temp_file = variant['temp_file']
final_path = base_path / temp_file.name
file_moves.append((temp_file, final_path, temp_subdir))
# Also prepare original variant metadata
original_path = f"{year}/{month}/{base_filename}{file_ext}"
variants.append({
'variant_type': 'original',
'path': original_path,
'width': img.width,
'height': img.height,
'size_bytes': len(optimized_bytes)
})
return variants, file_moves
except Exception as e: except Exception as e:
# Clean up any created variant files on failure # Clean up temp files on failure
for file_path in created_files: try:
try: if temp_subdir.exists():
if file_path.exists(): for file in temp_subdir.glob('*'):
file_path.unlink() try:
except OSError: file.unlink()
pass # Best effort cleanup except OSError:
pass
temp_subdir.rmdir()
except OSError:
pass # Best effort
raise # Re-raise the original exception raise # Re-raise the original exception
@@ -526,46 +587,147 @@ def save_media(file_data: bytes, filename: str) -> Dict:
full_dir = media_dir / year / month full_dir = media_dir / year / month
full_dir.mkdir(parents=True, exist_ok=True) full_dir.mkdir(parents=True, exist_ok=True)
# Save optimized image (using bytes from optimize_image to avoid re-encoding)
full_path = full_dir / stored_filename
full_path.write_bytes(optimized_bytes)
# Get actual file size (from optimized bytes) # Get actual file size (from optimized bytes)
actual_size = len(optimized_bytes) actual_size = len(optimized_bytes)
# Insert into database # Per v1.5.0 Phase 4: Atomic operation for all file saves and database inserts
db = get_db(current_app) # Generate variants first (to temp directory)
cursor = db.execute(
"""
INSERT INTO media (filename, stored_filename, path, mime_type, size, width, height)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(filename, stored_filename, relative_path, mime_type, actual_size, width, height)
)
db.commit()
media_id = cursor.lastrowid
# Generate variants (synchronous) - v1.4.0 Phase 2
# Pass year, month, and optimized_bytes to avoid fragile path traversal and file I/O
base_filename = stored_filename.rsplit('.', 1)[0] base_filename = stored_filename.rsplit('.', 1)[0]
variants = []
db = get_db(current_app)
variant_metadata = []
file_moves = []
temp_original_path = None
temp_subdir = None
try: try:
variants = generate_all_variants( # Step 1: Save original to temp directory
media_dir = Path(current_app.config.get('DATA_PATH', 'data')) / 'media'
temp_dir = media_dir / '.tmp'
temp_dir.mkdir(parents=True, exist_ok=True)
temp_subdir = temp_dir / f"{base_filename}_{uuid.uuid4().hex[:8]}"
temp_subdir.mkdir(parents=True, exist_ok=True)
temp_original_path = temp_subdir / stored_filename
temp_original_path.write_bytes(optimized_bytes)
# Step 2: Generate variants to temp directory
variant_metadata, file_moves = generate_all_variants(
optimized_img, optimized_img,
full_dir, full_dir,
base_filename, base_filename,
file_ext, file_ext,
media_id, 0, # media_id not yet known
year, year,
month, month,
optimized_bytes optimized_bytes,
db
) )
# Step 3: Begin transaction
db.execute("BEGIN TRANSACTION")
# Step 4: Insert media record
cursor = db.execute(
"""
INSERT INTO media (filename, stored_filename, path, mime_type, size, width, height)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(filename, stored_filename, relative_path, mime_type, actual_size, width, height)
)
media_id = cursor.lastrowid
# Step 5: Insert variant records
for variant in variant_metadata:
db.execute(
"""
INSERT INTO media_variants
(media_id, variant_type, path, width, height, size_bytes)
VALUES (?, ?, ?, ?, ?, ?)
""",
(media_id, variant['variant_type'], variant['path'],
variant['width'], variant['height'], variant['size_bytes'])
)
# Step 6: Move files to final location (before commit for true atomicity)
# If file moves fail, we can rollback the transaction
try:
# Move original file
full_path = full_dir / stored_filename
shutil.move(str(temp_original_path), str(full_path))
# Move variant files
for temp_file, final_path, _ in file_moves:
shutil.move(str(temp_file), str(final_path))
except Exception as e:
# Rollback database if file move fails
db.rollback()
raise
# Step 7: Commit transaction (after files are moved successfully)
db.commit()
# Step 8: Clean up temp directory
try:
if temp_subdir and temp_subdir.exists():
temp_subdir.rmdir()
except OSError:
pass # Best effort
# Format variants for return value (same format as before)
variants = [v for v in variant_metadata if v['variant_type'] != 'original']
except Exception as e: except Exception as e:
# Rollback database on any failure (best effort)
try:
db.rollback()
except Exception:
pass # May already be rolled back
# Clean up moved files if commit failed
# (This handles the case where files were moved but commit failed)
full_path = full_dir / stored_filename
if full_path.exists():
try:
full_path.unlink()
except OSError:
pass
for _, final_path, _ in file_moves:
try:
if final_path.exists():
final_path.unlink()
except OSError:
pass
# Clean up temp files on any failure
if temp_original_path and temp_original_path.exists():
try:
temp_original_path.unlink()
except OSError:
pass
for temp_file, _, _ in file_moves:
try:
if temp_file.exists():
temp_file.unlink()
except OSError:
pass
# Clean up temp subdirectory
if temp_subdir and temp_subdir.exists():
try:
temp_subdir.rmdir()
except OSError:
pass
# Log and re-raise
current_app.logger.warning( current_app.logger.warning(
f'Media upload variant generation failed: filename="{filename}", ' f'Media upload atomic operation failed: filename="{filename}", '
f'media_id={media_id}, error="{e}"' f'error="{e}"'
) )
# Continue - original image is still usable raise
# Log success # Log success
was_optimized = len(optimized_bytes) < file_size was_optimized = len(optimized_bytes) < file_size
@@ -981,3 +1143,74 @@ def cleanup_old_debug_files(app) -> None:
f"Debug file cleanup: deleted {deleted_count} file(s), " f"Debug file cleanup: deleted {deleted_count} file(s), "
f"freed {deleted_size / 1024 / 1024:.2f} MB" f"freed {deleted_size / 1024 / 1024:.2f} MB"
) )
def cleanup_orphaned_temp_files(app) -> None:
"""
Clean up orphaned temporary variant files on startup
Per v1.5.0 Phase 4:
- Detect temp files left from failed operations
- Log warnings for orphaned files
- Clean up temp directory
- Called on application startup
Args:
app: Flask application instance (for config and logger)
"""
media_dir = Path(app.config.get('DATA_PATH', 'data')) / 'media'
temp_dir = media_dir / '.tmp'
# Check if temp directory exists
if not temp_dir.exists():
return
# Find all subdirectories and files in temp directory
orphaned_count = 0
cleaned_size = 0
# Iterate through temp subdirectories
for temp_subdir in temp_dir.iterdir():
if not temp_subdir.is_dir():
# Clean up any loose files (shouldn't normally exist)
try:
size = temp_subdir.stat().st_size
temp_subdir.unlink()
orphaned_count += 1
cleaned_size += size
app.logger.warning(f"Cleaned up orphaned temp file: {temp_subdir.name}")
except OSError as e:
app.logger.warning(f"Failed to delete orphaned temp file {temp_subdir.name}: {e}")
continue
# Process subdirectory
files_in_subdir = list(temp_subdir.glob('*'))
if files_in_subdir:
# Log orphaned operation
app.logger.warning(
f"Found orphaned temp directory from failed operation: {temp_subdir.name} "
f"({len(files_in_subdir)} file(s))"
)
# Clean up files
for file_path in files_in_subdir:
try:
if file_path.is_file():
size = file_path.stat().st_size
file_path.unlink()
orphaned_count += 1
cleaned_size += size
except OSError as e:
app.logger.warning(f"Failed to delete orphaned temp file {file_path}: {e}")
# Remove empty subdirectory
try:
temp_subdir.rmdir()
except OSError as e:
app.logger.warning(f"Failed to remove temp directory {temp_subdir.name}: {e}")
if orphaned_count > 0:
app.logger.info(
f"Temp file cleanup: removed {orphaned_count} orphaned file(s), "
f"freed {cleaned_size / 1024 / 1024:.2f} MB"
)

View File

@@ -9,6 +9,7 @@ import pytest
from PIL import Image from PIL import Image
import io import io
from pathlib import Path from pathlib import Path
from datetime import datetime
from starpunk.media import ( from starpunk.media import (
validate_image, validate_image,
@@ -618,7 +619,7 @@ class TestMediaLogging:
assert 'error=' in caplog.text assert 'error=' in caplog.text
def test_save_media_logs_variant_failure(self, app, caplog, monkeypatch): def test_save_media_logs_variant_failure(self, app, caplog, monkeypatch):
"""Test variant generation failure logs at WARNING level but continues""" """Test variant generation failure causes atomic rollback (v1.5.0 Phase 4)"""
import logging import logging
from starpunk import media from starpunk import media
@@ -631,20 +632,15 @@ class TestMediaLogging:
image_data = create_test_image(800, 600, 'PNG') image_data = create_test_image(800, 600, 'PNG')
with app.app_context(): with app.app_context():
with caplog.at_level(logging.INFO): # Need INFO level to capture success log with caplog.at_level(logging.WARNING):
# Should succeed despite variant failure # Should fail due to atomic operation (v1.5.0 Phase 4)
media_info = save_media(image_data, 'test.png') with pytest.raises(RuntimeError, match="Variant generation failed"):
save_media(image_data, 'test.png')
# Check variant failure log # Check atomic operation failure log
assert "Media upload variant generation failed" in caplog.text assert "Media upload atomic operation failed" in caplog.text
assert 'filename="test.png"' in caplog.text assert 'filename="test.png"' in caplog.text
assert f'media_id={media_info["id"]}' in caplog.text assert 'error="Variant generation failed"' in caplog.text
assert 'error=' in caplog.text
# But success log should also be present
assert "Media upload successful" in caplog.text
# And variants should be 0
assert 'variants=0' in caplog.text
def test_save_media_logs_unexpected_error(self, app, caplog, monkeypatch): def test_save_media_logs_unexpected_error(self, app, caplog, monkeypatch):
"""Test unexpected error logs at ERROR level""" """Test unexpected error logs at ERROR level"""
@@ -680,3 +676,151 @@ def sample_note(app):
with app.app_context(): with app.app_context():
note = create_note("Test note content", published=True) note = create_note("Test note content", published=True)
yield note yield note
class TestAtomicVariantGeneration:
"""
Test atomic variant generation (v1.5.0 Phase 4)
Tests that variant generation is atomic with database commits,
preventing orphaned files or database records.
"""
def test_atomic_media_save_success(self, app):
"""Test that media save operation is fully atomic on success"""
from pathlib import Path
from starpunk.media import save_media
# Create test image
img_data = create_test_image(1600, 1200, 'JPEG')
with app.app_context():
# Save media
result = save_media(img_data, 'test_atomic.jpg')
# Verify media record was created
assert result['id'] > 0
assert result['filename'] == 'test_atomic.jpg'
# Verify original file exists in final location
media_dir = Path(app.config['DATA_PATH']) / 'media'
original_path = media_dir / result['path']
assert original_path.exists(), "Original file should exist in final location"
# Verify variant files exist in final location
for variant in result['variants']:
variant_path = media_dir / variant['path']
assert variant_path.exists(), f"Variant {variant['variant_type']} should exist"
# Verify no temp files left behind
temp_dir = media_dir / '.tmp'
if temp_dir.exists():
temp_files = list(temp_dir.glob('**/*'))
temp_files = [f for f in temp_files if f.is_file()]
assert len(temp_files) == 0, "No temp files should remain after successful save"
def test_file_move_failure_rolls_back_database(self, app, monkeypatch):
"""Test that file move failure rolls back database transaction"""
from pathlib import Path
from starpunk.media import save_media
import shutil
# Create test image
img_data = create_test_image(1600, 1200, 'JPEG')
with app.app_context():
from starpunk.database import get_db
# Mock shutil.move to fail
original_move = shutil.move
call_count = [0]
def mock_move(src, dst):
call_count[0] += 1
# Fail on first move (original file)
if call_count[0] == 1:
raise OSError("File move failed")
return original_move(src, dst)
monkeypatch.setattr(shutil, 'move', mock_move)
# Count media records before operation
db = get_db(app)
media_count_before = db.execute("SELECT COUNT(*) FROM media").fetchone()[0]
# Try to save media - should fail
with pytest.raises(OSError, match="File move failed"):
save_media(img_data, 'test_rollback.jpg')
# Verify no new media records were added (transaction rolled back)
media_count_after = db.execute("SELECT COUNT(*) FROM media").fetchone()[0]
assert media_count_after == media_count_before, "No media records should be added on failure"
# Verify temp files were cleaned up
media_dir = Path(app.config['DATA_PATH']) / 'media'
temp_dir = media_dir / '.tmp'
if temp_dir.exists():
temp_files = list(temp_dir.glob('**/*'))
temp_files = [f for f in temp_files if f.is_file()]
assert len(temp_files) == 0, "Temp files should be cleaned up after file move failure"
# Restore original move
monkeypatch.setattr(shutil, 'move', original_move)
def test_startup_recovery_cleans_orphaned_temp_files(self, app):
"""Test that startup recovery detects and cleans orphaned temp files"""
from pathlib import Path
from starpunk.media import cleanup_orphaned_temp_files
import logging
with app.app_context():
media_dir = Path(app.config['DATA_PATH']) / 'media'
temp_dir = media_dir / '.tmp'
temp_dir.mkdir(parents=True, exist_ok=True)
# Create orphaned temp subdirectory with files
orphan_dir = temp_dir / 'orphaned_test_12345678'
orphan_dir.mkdir(parents=True, exist_ok=True)
# Create some fake orphaned files
orphan_file1 = orphan_dir / 'test_thumb.jpg'
orphan_file2 = orphan_dir / 'test_small.jpg'
orphan_file1.write_bytes(b'fake image data')
orphan_file2.write_bytes(b'fake image data')
# Run cleanup
with app.test_request_context():
cleanup_orphaned_temp_files(app)
# Verify files were cleaned up
assert not orphan_file1.exists(), "Orphaned file 1 should be deleted"
assert not orphan_file2.exists(), "Orphaned file 2 should be deleted"
assert not orphan_dir.exists(), "Orphaned directory should be deleted"
def test_startup_recovery_logs_orphaned_files(self, app, caplog):
"""Test that startup recovery logs warnings for orphaned files"""
from pathlib import Path
from starpunk.media import cleanup_orphaned_temp_files
import logging
with app.app_context():
media_dir = Path(app.config['DATA_PATH']) / 'media'
temp_dir = media_dir / '.tmp'
temp_dir.mkdir(parents=True, exist_ok=True)
# Create orphaned temp subdirectory with files
orphan_dir = temp_dir / 'orphaned_test_99999999'
orphan_dir.mkdir(parents=True, exist_ok=True)
# Create some fake orphaned files
orphan_file = orphan_dir / 'test_medium.jpg'
orphan_file.write_bytes(b'fake image data')
# Run cleanup with logging
with caplog.at_level(logging.WARNING):
cleanup_orphaned_temp_files(app)
# Verify warning was logged
assert "Found orphaned temp directory from failed operation" in caplog.text
assert "orphaned_test_99999999" in caplog.text