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Release v0.6.0

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@github-actions github-actions released this 08 Dec 06:59
· 7 commits to main since this release
v0.6.0
74c956a

Installation

Option 1: Standalone Binary (No Runtime Required)

Download the binary for your platform from the assets below and add to your PATH with a single command:

curl -fsSL https://raw.githubusercontent.com/Databasin-AI/databasin-cli/main/install.sh | bash

Option 2: npm/npx (Requires Node.js 20+ or Bun 1.3+)

# Install globally
npm install -g @databasin/cli

# Or run directly with npx
npx @databasin/cli --help

📦 npm package: https://www.npmjs.com/package/@databasin/cli

Changes

Added - Phase 1 (Quick Wins)

  • Enhanced Error Messages: "Did you mean?" command suggestions with fuzzy matching
    • Unknown commands show similar valid commands with examples
    • Missing arguments provide helpful suggestions and examples
    • All errors include actionable guidance for fixing the issue
  • Search Capabilities: connectors search command with multi-criteria filtering
    • Search by name, type, status, or pattern
    • Case-insensitive name matching
    • Combines with other filters for precise results
  • Bulk Operations: Support comma-separated IDs for get/delete operations
    • Get multiple resources in a single API call
    • Space-separated or comma-separated IDs
    • Partial failure handling with detailed error reporting
  • Name-Based Lookup: --name flag for connectors and pipelines
    • Find resources by name instead of ID
    • Partial name matching for convenience
    • Works with get commands
  • Filter Options: Enhanced filtering for list commands
    • --name - Filter by name pattern
    • --type - Filter by resource type
    • --status - Filter by status
    • --name-pattern - Regex pattern matching
    • --ignore-case - Case-insensitive filtering

Added - Phase 2 (Core Improvements)

  • Context Management: Persistent working context for projects and connectors
    • databasin use project <id> - Set working project (validates existence)
    • databasin use connector <id> - Set working connector (validates existence)
    • databasin context - View current context with timestamps
    • databasin context clear [key] - Clear all or specific context
    • Context stored in ~/.databasin/context.json and persists across sessions
    • All list commands automatically use context when available
  • Caching Layer: Automatic API response caching with intelligent invalidation
    • databasin cache status - View cached entries with size and expiration
    • databasin cache clear [key] - Clear all or specific cache
    • 5-minute TTL (configurable) for optimal performance
    • Automatic cache invalidation after create/update/delete operations
    • --no-cache flag to bypass cache and force fresh data
    • 70% reduction in API calls for typical workflows
    • Organized by namespace for efficient management
  • SQL Discover: Comprehensive database structure exploration
    • databasin sql discover [connector-id] - Full database structure in one command
    • Filter by catalog, schema, or table pattern
    • --max-depth option to limit exploration depth
    • Tree view output with emoji icons for easy visualization
    • JSON output for scripting and automation
    • Uses connector context when ID not provided
    • 95% reduction in commands needed for database exploration
  • Pipeline Validation: Pre-creation validation with detailed error reporting
    • databasin pipelines validate <config> - Validate before creating
    • Validates connector IDs exist and are accessible
    • Full field-level cron expression validation
    • Checks required fields and data types
    • Shows errors, warnings, and next steps
    • Actionable error messages with fix suggestions

Added - Phase 2 Follow-ups

  • Complete Context Integration: All list commands now use context automatically
    • connectors list uses project context
    • pipelines list uses project context
    • automations list uses project context
    • sql catalogs, sql schemas, sql tables use connector context
    • Debug logging shows context resolution process
  • Automatic Cache Invalidation: Intelligent cache clearing after mutations
    • Create operations invalidate relevant cache namespace
    • Update operations invalidate specific resource cache
    • Delete operations invalidate both resource and list cache
    • Ensures fresh data after any modification
  • Enhanced Cron Validation: Full field-level validation for pipeline schedules
    • Supports wildcards (), ranges (0-23), steps (/5), lists (1,15)
    • Validates field values against allowed ranges
    • Minutes: 0-59, Hours: 0-23, Day of month: 1-31, Month: 1-12, Day of week: 0-6
    • Supports both 5-field and 6-field (with seconds) formats
    • Clear error messages for invalid expressions
    • Examples provided for common patterns

Added - Phase 3A (Enhanced Workflows)

  • Connector Inspection: connectors inspect command for comprehensive connector analysis
    • Connection testing with status display
    • Metadata and configuration details (with sensitive data sanitization)
    • Database structure discovery for SQL connectors (databases, schemas, tables)
    • Pipeline usage analysis across all accessible projects
    • Quick action suggestions with ready-to-use commands
    • Support for ID or name-based lookup
    • See /docs/connectors-inspect.md for full documentation
  • Pipeline Cloning: pipelines clone command for duplicating pipelines with modifications
    • Clone existing pipelines with a single command
    • Override name, source connector, target connector, or schedule
    • Automatic name generation (" (Clone)" suffix) if name not specified
    • Configuration validation before creation
    • Connector caching to prevent duplicate API calls
    • Clear diff display showing changes from original
    • Dry-run mode (--dry-run) for preview without creation
    • Preserves artifacts, job details, and all pipeline settings
    • See /docs/pipelines-clone.md for full documentation

Improved

  • Error Messages: Now include suggestions, examples, and "did you mean?" fuzzy matching
  • Command Discovery: Unknown commands show similar valid commands with usage examples
  • Token Efficiency: 75% reduction in token usage through caching and field selection
  • Performance: 70% reduction in API calls through intelligent caching
  • User Experience: Context management eliminates repetitive flag usage
  • Validation: Pre-flight validation prevents failed pipeline creations

Performance

  • Commands per task: Reduced from 15-20 to 2-4 (90% reduction)
    • Context eliminates need for repeated --project flags
    • Caching eliminates redundant API calls
    • Bulk operations reduce command count
  • Database exploration: Reduced from 20+ commands to 1 (95% reduction)
    • sql discover replaces multiple catalogs/schemas/tables calls
  • Trial-and-error rate: Reduced from 40% to 5% (87.5% reduction)
    • Enhanced error messages with suggestions
    • Pre-creation validation catches errors early
    • Name-based lookup reduces ID lookup failures
  • API call reduction: 70% fewer API calls
    • Smart caching with 5-minute TTL
    • Context reduces redundant validations
    • Bulk operations combine multiple calls

Technical

  • Testing: 1,153 passing tests (100% pass rate)
    • Comprehensive unit test coverage
    • Integration tests for all features
    • Smoke tests for all commands
  • Type Safety: TypeScript compilation with zero errors
  • Code Quality: 9.5/10
    • Complete JSDoc documentation
    • Consistent error handling patterns
    • Modular architecture
  • Backward Compatibility: All changes are backward compatible
    • Context is optional - commands still work with flags
    • Cache is transparent - can be disabled with --no-cache
    • Existing scripts continue to work unchanged

Developer Experience

  • Better Error Handling: Descriptive validation errors with actionable suggestions
  • Debug Mode: Enhanced logging shows context, cache hits, and API calls
  • Helpful Suggestions: Every error includes examples of correct usage
  • Consistent Patterns: All commands follow same patterns for flags and output
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