Implement automatic database migration to add the dirty_issues table
for existing databases that were created before the incremental export
feature (bd-39) was implemented.
Changes:
- Add migrateDirtyIssuesTable() function in sqlite.go
- Check for dirty_issues table existence on database initialization
- Create table and index if missing (silent migration)
- Call migration after schema initialization in New()
The migration:
- Queries sqlite_master to check if dirty_issues table exists
- If missing, creates the table with proper schema and index
- Happens automatically on first database access after upgrade
- No user intervention required
- Fails safely if table already exists (no-op)
Testing:
- Created test database without dirty_issues table
- Verified table was auto-created on first command
- Verified issue was properly marked dirty
- All existing tests pass
This makes the incremental export feature (bd-39) work seamlessly
with existing databases without requiring manual migration steps.
Closes bd-51
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Co-Authored-By: Claude <noreply@anthropic.com>
Optimize auto-flush by tracking which issues have changed instead of
exporting the entire database on every flush. For large projects with
1000+ issues, this provides significant performance improvements.
Changes:
- Add dirty_issues table to schema with issue_id and marked_at columns
- Implement dirty tracking functions in new dirty.go file:
* MarkIssueDirty() - Mark single issue as needing export
* MarkIssuesDirty() - Batch mark multiple issues efficiently
* GetDirtyIssues() - Query which issues need export
* ClearDirtyIssues() - Clear tracking after successful export
* GetDirtyIssueCount() - Monitor dirty issue count
- Update all CRUD operations to mark affected issues as dirty:
* CreateIssue, UpdateIssue, DeleteIssue
* AddDependency, RemoveDependency (marks both issues)
* AddLabel, RemoveLabel, AddEvent
- Modify export to support incremental mode:
* Add --incremental flag to export only dirty issues
* Used by auto-flush for performance
* Full export still available without flag
- Add Storage interface methods for dirty tracking
Performance impact: With incremental export, large databases only write
changed issues instead of regenerating entire JSONL file on every
auto-flush.
Closes bd-39
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Co-Authored-By: Claude <noreply@anthropic.com>
Critical bug fix: getNextID() was using alphabetical MAX instead of
numerical MAX, causing "bd-9" to be treated as max when "bd-10" existed.
This blocked all new issue creation after bd-10.
Fixed by using SQL CAST to extract and compare numeric portions of IDs.
This ensures bd-10 > bd-9 numerically, not alphabetically.
Also completed comprehensive design for bd-9 (collision resolution):
- Algorithm design with 7 phases (detection, scoring, remapping, etc.)
- Created 7 child issues (bd-10, bd-12-17) breaking down implementation
- Added design documents to .beads/ for future reference
- Updated issues JSONL with new issues and dependencies
Issues created:
- bd-10: Export dependencies in JSONL
- bd-12: Collision detection
- bd-13: Reference scoring algorithm
- bd-14: ID remapping with updates
- bd-15: CLI flags and reporting
- bd-16: Comprehensive tests
- bd-17: Documentation updates
- bd-18: Add design/notes fields to update command
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add package comment to cmd/bd/dep.go
- Change directory permissions from 0755 to 0750 in init.go
- Simplify getNextID signature (remove unused error return)
- Configure golangci-lint exclusions for false positives
- Document linting policy in LINTING.md
The remaining ~100 lint warnings are documented false positives:
- 73 errcheck: deferred cleanup (idiomatic Go)
- 17 revive: Cobra interface requirements and naming choices
- 7 gosec: false positives on validated SQL and user file paths
- 2 dupl: acceptable test code duplication
- 1 goconst: test constant repetition
See LINTING.md for full rationale. Contributors should focus on
avoiding NEW issues rather than the documented baseline.
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Co-Authored-By: Claude <noreply@anthropic.com>
Major improvements to code quality, documentation, and CI:
Code Quality:
- Add golangci-lint configuration with 13 linters
- Fix unchecked error returns in export/import/init
- Refactor duplicate scanIssues code
- Add package comments for all packages
- Add const block comments for exported constants
- Configure errcheck to allow idiomatic defer patterns
Documentation:
- Add comprehensive CONTRIBUTING.md with setup, testing, and workflow
- Fix QUICKSTART.md binary name references (beads → bd)
- Correct default database path documentation
CI/CD:
- Add GitHub Actions workflow for tests and linting
- Enable race detection and coverage reporting
- Automated quality checks on all PRs
All tests passing. Lint issues reduced from 117 to 103 (remaining are
idiomatic patterns and test code). Ready for open-source release.
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Co-Authored-By: Claude <noreply@anthropic.com>
This is a fundamental architectural shift from binary SQLite to JSONL as
the source of truth for git workflows.
## New Features
- `bd export --format=jsonl` - Export issues to JSON Lines format
- `bd import` - Import issues from JSONL (create new, update existing)
- `--skip-existing` flag for import to only create new issues
## Architecture Change
**Before:** Binary SQLite database committed to git
**After:** JSONL text files as source of truth, SQLite as ephemeral cache
Benefits:
- Git-friendly text format with clean diffs
- AI-resolvable merge conflicts (append-only is 95% conflict-free)
- Human-readable issue tracking in git
- No binary merge conflicts
## Documentation
- Updated README with JSONL-first workflow and git hooks
- Added TEXT_FORMATS.md analyzing JSONL vs CSV vs binary
- Updated GIT_WORKFLOW.md with historical context
- .gitignore now excludes *.db, includes .beads/*.jsonl
## Implementation Details
- Export sorts issues by ID for consistent diffs
- Import handles both creates and updates atomically
- Proper handling of pointer fields (EstimatedMinutes)
- All tests passing
## Breaking Changes
- Database files (*.db) should now be gitignored
- Use export/import workflow for git collaboration
- Git hooks recommended for automation
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Co-Authored-By: Claude <noreply@anthropic.com>
Core features:
- Dependency-aware issue tracking with SQLite backend
- Ready work detection (issues with no open blockers)
- Dependency tree visualization
- Cycle detection and prevention
- Full audit trail
- CLI with colored output
Security and correctness fixes applied:
- Fixed SQL injection vulnerability in UpdateIssue (whitelisted fields)
- Fixed race condition in ID generation (added mutex)
- Fixed cycle detection to return full paths (not just issue IDs)
- Added cycle prevention in AddDependency (validates before commit)
- Added comprehensive input validation (priority, status, types, etc.)
- Fixed N+1 query in GetBlockedIssues (using GROUP_CONCAT)
- Improved query building in GetReadyWork (proper string joining)
- Fixed P0 priority filter bug (using Changed() instead of value check)
All critical and major issues from code review have been addressed.
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