feat: Complete command set standardization (bd-au0)

Epic bd-au0: Command Set Standardization & Flag Consistency

Completed all 10 child issues:

P0 tasks:
- Standardize --dry-run flag across all commands (bd-au0.1)
- Add label operations to bd update (bd-au0.2)
- Fix --title vs --title-contains redundancy (bd-au0.3)
- Standardize priority flag parsing (bd-au0.4)

P1 tasks:
- Add date/priority filters to bd search (bd-au0.5)
- Add comprehensive filters to bd export (bd-au0.6)
- Audit and standardize JSON output (bd-au0.7)

P2 tasks:
- Improve clean vs cleanup documentation (bd-au0.8)
- Document rarely-used commands (bd-au0.9)

P3 tasks:
- Add global verbosity flags --verbose/-v and --quiet/-q (bd-au0.10)

Key changes:
- export.go: Added filters (assignee, type, labels, priority, dates)
- main.go: Added --verbose/-v and --quiet/-q global flags
- debug.go: Added SetVerbose/SetQuiet and PrintNormal helpers
- clean.go/cleanup.go: Improved documentation with cross-references
- detect_pollution.go: Added use cases and warnings
- migrate_hash_ids.go: Marked as legacy command
- rename_prefix.go: Added use cases documentation

All success criteria met: flags standardized, feature parity achieved,
naming clarified, JSON output consistent.

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

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Steve Yegge
2025-11-23 20:33:25 -08:00
parent b5fb06c17d
commit 273a4d1cfc
8 changed files with 218 additions and 30 deletions

View File

@@ -14,18 +14,28 @@ import (
var detectPollutionCmd = &cobra.Command{
Use: "detect-pollution",
Short: "Detect test issues that leaked into production database",
Long: `Detect test issues using pattern matching:
- Titles starting with 'test', 'benchmark', 'sample', 'tmp', 'temp'
- Sequential numbering (test-1, test-2, ...)
- Generic descriptions or no description
- Created in rapid succession
Short: "Detect and optionally clean test issues from database",
Long: `Detect test issues that leaked into production database using pattern matching.
Example:
This command finds issues that appear to be test data based on:
- Titles starting with 'test', 'benchmark', 'sample', 'tmp', 'temp'
- Sequential numbering patterns (test-1, test-2, ...)
- Generic or missing descriptions
- Created in rapid succession (potential script/automation artifacts)
USE CASES:
- Cleaning up after testing in a production database
- Identifying accidental test data from CI/automation
- Database hygiene after development experiments
- Quality checks before database backups
EXAMPLES:
bd detect-pollution # Show potential test issues
bd detect-pollution --clean # Delete test issues (with confirmation)
bd detect-pollution --clean --yes # Delete without confirmation
bd detect-pollution --json # Output in JSON format`,
bd detect-pollution --json # Output in JSON format
NOTE: Review detected issues carefully before using --clean. False positives are possible.`,
Run: func(cmd *cobra.Command, _ []string) {
// Check daemon mode - not supported yet (uses direct storage access)
if daemonClient != nil {