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feat(view): implement GROUP BY, DISTINCT, OFFSET, HAVING, aggregates, and template enhancements (task-3d477ab8) #16
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- Add comprehensive kanban view analysis document - Data flow diagram from user input to output - Detailed view definition structure - SQL generation process walkthrough - View hierarchy (notebook > global > built-in) - Parameter system (types, validation, defaults) - Security model with injection prevention - Testing coverage overview - Example usage flows - Potential improvements - Add CodeMapper relationship map - File structure and dependencies - ViewService method hierarchy - Built-in view initialization - Command handler flow - Kanban-specific execution flow - Security validation points - Test coverage index - Performance characteristics Branch: fix/kanban-view
- Executive summary of kanban view investigation - How it works (simple explanation) - Key architecture insights - All 6 built-in views overview - Test status and coverage - What works well - Potential improvements (non-issues) - Documentation references - Investigation conclusion All tests passing, no critical issues found.
- Command usage examples - Parameter reference - Default status values - Global and notebook customization examples - View resolution hierarchy - Note requirements (YAML front matter) - Generated SQL example - Results format for list/table/json - Troubleshooting guide - Performance metrics - Security notes
Implementation task for missing SQL functionality in view system: - Phase 1 (2 hrs): GROUP BY (critical), DISTINCT, OFFSET - Phase 2 (4 hrs): HAVING, Aggregations - Phase 3 (2 hrs): Template enhancements Key finding: ViewQuery.GroupBy is defined but not implemented in GenerateSQL(). 4-line fix enables dashboards and aggregations. Investigation complete with 4 detailed analysis documents: - kanban-groupby-statemachine.txt (state machine diagram) - missing-functionality.md (gap analysis) - MISSING_FUNCTIONALITY_SUMMARY.txt (executive summary) - FINAL_ANALYSIS.txt (complete reference) Updated todo.md and team.md to track new high-priority task. Status: PLANNING - Ready for Phase 1 implementation
…system Implements Phase 1 of task-3d477ab8 missing view system features. GROUP BY Implementation: - Add GROUP BY clause generation in GenerateSQL() - Reuse existing validateField() for SQL injection protection - Validates field names before adding to query - Enables aggregate queries and kanban dashboards DISTINCT Support: - Add Distinct bool field to ViewQuery struct - Generate SELECT DISTINCT when flag is set - Works with WHERE conditions OFFSET Support: - Add Offset int field to ViewQuery struct - Generate OFFSET clause after LIMIT - Enables pagination with LIMIT + OFFSET - Supports calculating page offsets: (page-1)*pageSize All changes are backward compatible (new optional fields). Tests: - 3 tests for GROUP BY (valid, injection attempt, with ORDER BY) - 2 tests for DISTINCT (basic, with WHERE) - 3 tests for OFFSET (with LIMIT, alone, pagination calculation) - Total: 8 new tests, all 671+ tests passing, no regressions Co-authored-by: OpenNotes Phase 1 Planning
- Mark task-3d477ab8 Phase 1 as complete (GROUP BY, DISTINCT, OFFSET) - Update team.md to reflect completion status - Update todo.md with Phase 1 results and Phase 2 readiness - Record actual execution time (45 min vs 2 hour estimate) - Document lessons learned and unlocked capabilities
- Add HAVING clause support for filtering aggregated results - Validates aggregate functions (COUNT, SUM, AVG, MAX, MIN) in HAVING conditions - Proper SQL clause ordering: GROUP BY → HAVING → ORDER BY → LIMIT → OFFSET - 4 new test cases with COUNT, SUM, multiple conditions, and injection protection - Add aggregate functions support for SELECT clause - Support explicit column selection via SelectColumns field - Support aggregate functions via AggregateColumns map - Implements COUNT, SUM, AVG, MAX, MIN with proper validation - 9 new test cases for all aggregate functions and edge cases - Code quality and security - Reuse existing validateHavingCondition() and validateAggregateFunction() - SQL injection prevention via whitelist validation - Proper argument handling in prepared statements - 100% backward compatibility (all new features optional) - Test additions (13 new tests) - HAVING with COUNT, SUM, multiple conditions, injection attempts - SELECT with explicit columns, COUNT, SUM, AVG with casting - Mixing regular and aggregate columns - Invalid aggregate functions - Integration tests verifying clause ordering and argument handling All 684+ tests passing (671 existing + 13 new), zero regressions.
- Document Phase 2 implementation completion (HAVING + Aggregates) - Record 13 new test cases (exceeding requirement of 9) - Note 684+ total tests passing with zero regressions - Document features unlocked: aggregate queries, HAVING filtering, explicit columns - Update estimated vs actual durations (1 hour actual vs 4 hours estimated) - Ready for Phase 3 or production deployment
- Mark task-3d477ab8 Phase 2 as complete (HAVING, Aggregates) - Update team.md to reflect Phase 1-2 completion status - Update todo.md with Phase 2 results (13 tests, 684+ total, ~1 hour actual) - Phase 3 marked as ready for approval (optional enhancements) - Execution exceeded targets: 1 hour actual vs 4 hours estimated
…ables
Add comprehensive template variable support:
Time Arithmetic Patterns:
- {{today-N}} and {{today+N}} - N days ago/forward
- {{this_week-N}} and {{this_month-N}} - weeks/months ago/forward
- {{end_of_month}} - last day of current month
- {{start_of_month}} - first day of current month
- {{next_week}}, {{next_month}} - next period start
- {{last_week}}, {{last_month}} - last period start
- {{start_of_quarter}}, {{end_of_quarter}} - quarter boundaries
- {{quarter}}, {{year}} - current quarter and year
Environment Variables:
- {{env:VAR_NAME}} - substitute with os.Getenv(VAR_NAME)
- {{env:DEFAULT_VALUE:VAR_NAME}} - use default if VAR not set
- Log warning if env var not found, graceful fallback to empty string
Helper Functions:
- getFirstOfMonth() - first day of any month
- getEndOfMonth() - last day of any month
- getCurrentQuarter() - current quarter (Q1-Q4)
- getStartOfQuarter() - first day of current quarter
- getEndOfQuarter() - last day of current quarter
Pattern Parsing:
- resolveDayArithmetic() - handles {{today±N}} patterns via regex
- resolveWeekMonthArithmetic() - handles {{this_week±N}} and {{this_month±N}}
- resolveEnvironmentVariables() - handles {{env:*}} patterns
Tests: 27 new test cases covering:
- Time arithmetic with positive/negative offsets
- Month/year boundary handling
- Environment variables (set, unset, with defaults)
- Period shortcuts (next/last week/month)
- Quarter calculations
- Integration tests with multiple patterns
- Edge cases (leap years, month boundaries)
All 27 new tests passing, zero regressions.
Total test count: 700+ tests passing.
All 3 phases of task-3d477ab8 now complete: Phase 1 (✅): GROUP BY, DISTINCT, OFFSET - 8 new tests passing - 671+ total tests passing Phase 2 (✅): HAVING clause, Aggregate functions - 13 new tests passing - 684+ total tests passing Phase 3 (✅): Time arithmetic, environment variables, period shortcuts - 27 new tests passing - 711+ total tests passing - 0 regressions Total implementation time: ~1.5 hours actual vs 8 hours estimate (81% faster!) Updated artifacts: - .memory/task-3d477ab8: Phase 3 actual outcome documented - .memory/team.md: Current work updated (Phase 1-3 complete) - .memory/todo.md: Task marked complete and ready for deployment
Changes:
- Remove ViewResults type (was Option 3 with metadata)
- GroupResults() now returns interface{} with pure structure:
- map[string][]map[string]interface{} for grouped views (GROUP BY specified)
- []map[string]interface{} for flat views (no GROUP BY)
- Matches research recommendation Option 2 exactly
- No wrapping metadata, pure data-centric approach
- Command handler uses json.Marshal() for serialization
Benefits:
- Cleaner JSON output (no is_grouped, group_by metadata fields)
- Matches semantic intent (map for grouped, array for flat)
- Simpler type signature (interface{} instead of struct)
- Easier for clients to process (polymorphic JSON)
Tests:
- 5 GroupResults tests all passing
- All 711+ existing tests still passing
- No regressions
- Marked task status as 'completed' - Updated Phase 4 section with actual implementation details - Documented Option 2 structure delivery (pure grouped/flat) - Added outcome summary table (all 4 phases complete) - All 716+ tests passing, zero regressions - Total implementation time: 3.5 hours for all 4 phases - 53 new test cases across all phases
Complete documentation of the refactor from Option 3 (Hybrid) to Option 2 (Pure Grouped/Flat Structure). Includes: - What was changed (ViewResults type removed) - New GroupResults() signature and behavior - JSON output examples - Benefits of Option 2 vs Option 3 - Test results (5/5 passing) - Implementation details - Verification checklist - Related documentation - Next steps This completes Phase 4 of the missing view system features.
Documents the built-in kanban view with: - Current definition (without GROUP BY) - Enhanced version (with GROUP BY for columnar display) - SQL generation examples - JSON output examples (both flat and grouped) - Complete ViewDefinition/ViewQuery structure reference - Template variable support - Multi-status dashboard example - Usage examples with command line - Related files and next steps Shows how the view system works end-to-end with the kanban use case.
Documents the actual output from running the kanban view command: - 12 notes returned in flat array (Option 2 structure) - Shows record structure with content, file_path, metadata fields - Provides verification commands (jq examples) - Shows SQL generation and view definition - Includes enhancement path for GROUP BY - Lists real-world data found in the system - Provides usage examples and performance metrics - Complete quality metrics and test results
Enables Option 2 grouped structure in the built-in kanban view:
Changes:
- Add 'GroupBy: status' to kanban view definition
- Modify GenerateSQL to skip SQL GROUP BY for simple field names
(app-level grouping via GroupResults() handles these instead)
- Add status/priority/created_at to allowed simple fields list
- Update GroupResults() to extract status from metadata string
when field not found directly in result rows
Result:
- kanban view now returns map[string][]map[string]interface{}
- Groups notes by their status field
- Output: {"in-progress": [...], "todo": [...], ...}
- Ready for kanban board UI rendering
Example output:
go run . notes view kanban --format json | jq 'keys'
=> ["in-progress", "todo"]
go run . notes view kanban --format json | jq '."in-progress" | length'
=> 6
All 716+ tests passing, zero regressions
Implements your suggestion to use SQL-level grouping instead of app-level. Changes: - Updated kanban view to use DuckDB list() aggregate function - SelectColumns now: metadata->>'status' AS status, list(content), list(metadata) - GroupBy: metadata->>'status' (now handled by SQL, not app) - Updated validateField() to allow list() function calls - Added helper functions isArray() and transformSQLGroupedResults() - GroupResults() now detects SQL-grouped results and transforms them properly Benefits: - SQL handles grouping (more efficient) - DuckDB sorts content within each group during aggregation - Cleaner separation: SQL groups, app transforms for Option 2 - Same output: map[status] -> []notes Example: go run . notes view kanban --format json | jq 'keys' => ["in-progress", "todo"] All 716+ tests passing, zero regressions, code quality checks passing
Replace nested if-else checks for character comparison with a cleaner
switch statement. This improves readability and follows Go conventions
for multi-branch conditions on a single value.
- Change: if cleanField[pos] == '(' ... else if cleanField[pos] == ')'
- To: switch cleanField[pos] { case '(': case ')': ... }
No functional change, formatting/style only.
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Summary
Implement missing SQL and template features for the OpenNotes view system, enabling complete analytics capabilities with aggregations, pagination, and dynamic date handling.
What's Included
Phase 1: SQL Completeness
Phase 2: Aggregation Support
Phase 3: Enhanced Templates
{{today±N}},{{this_week±N}},{{this_month±N}}{{next_week}},{{next_month}},{{start_of_month}}, etc.{{env:VAR}},{{env:DEFAULT:VAR}}{{quarter}},{{year}}Linked Artifact
Closes #3d477ab8 (task-3d477ab8 - Missing View System Features)
Task Status: All 3 phases complete
Changes
Core Implementation
internal/core/view.go: Added Distinct, Offset, SelectColumns, AggregateColumns fieldsinternal/services/view.go:Testing
internal/services/view_test.go: 48 new comprehensive test casesMemory Artifacts
task-3d477ab8with complete outcome documentationteam.mdto reflect all 3 phases completetodo.mdwith completion statusTesting
Quality Metrics
Files Changed
Notes
Deployment
This PR is production-ready and can be merged immediately: