Add format_event_type() and calculate_duration() helpers to convert
raw timeline events into human-readable tables and metrics. RCA now
includes an Incident Timeline section and Incident Metrics (event
count, duration, time-to-root-cause). Postmortem replaces placeholder
timeline rows with real events, calculates impact duration, and
auto-populates What Went Well from evidence.
10 new Rust tests covering timeline rendering, duration calculation,
and event type formatting.
- Add migration 017_create_timeline_events with indexes
- Update TimelineEvent struct with issue_id, metadata, UTC string timestamps
- Add TimelineEvent::new() constructor with UUIDv7
- Add timeline_events field to IssueDetail
- Rewrite add_timeline_event to write to new table + audit_log (dual-write)
- Add get_timeline_events command for ordered retrieval
- Update get_issue to load timeline_events
- Update delete_issue to clean up timeline_events
- Register get_timeline_events in generate_handler
- Add migration tests for table, indexes, and cascade delete
- Fix flaky derive_aes_key test (env var race condition in parallel tests)
- Fix linuxdeploy AppImage extraction using --appimage-extract
- Remove 'has no column named' from duplicate column error handling
- Use strftime instead of datetime for created_at default format
- Add -L flag to curl for linuxdeploy redirects
- Split migration 015 into 015_add_use_datastore_upload and 016_add_created_at
- Use separate execute calls for ALTER TABLE statements
- Add idempotency test for migration 015
- Use bool type for use_datastore_upload instead of i64
- Re-add migration 014_create_ai_providers to create ai_providers table
- Add test_create_ai_providers_table() to verify table schema
- Add test_store_and_retrieve_ai_provider() to verify CRUD operations
- Bump version to 0.2.49 in tauri.conf.json
Fixes missing AI provider data when upgrading from v0.2.42
This commit implements two major features:
1. Integration Search as Primary AI Data Source
- Confluence, ServiceNow, and Azure DevOps searches execute before AI queries
- Search results injected as system context for AI providers
- Parallel search execution for performance
- Webview-based fetch for HttpOnly cookie support
- Persistent browser windows maintain authenticated sessions
2. AI Tool-Calling (Function Calling)
- Allows AI to automatically execute functions during conversation
- Implemented for OpenAI-compatible providers and Custom REST provider
- Created add_ado_comment tool for updating Azure DevOps tickets
- Iterative tool-calling loop supports multi-step workflows
- Extensible architecture for adding new tools
Key Files:
- src-tauri/src/ai/tools.rs (NEW) - Tool definitions
- src-tauri/src/integrations/*_search.rs (NEW) - Integration search modules
- src-tauri/src/integrations/webview_fetch.rs (NEW) - HttpOnly cookie workaround
- src-tauri/src/commands/ai.rs - Tool execution and integration search
- src-tauri/src/ai/openai.rs - Tool-calling for OpenAI and Custom REST provider
- All providers updated with tools parameter support
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Remove high-risk defaults and tighten data handling across auth, storage, IPC, provider calls, and capabilities so sensitive data is better protected by default. Also update README/wiki security guidance and add targeted tests for the new hardening behaviors.
Made-with: Cursor
Replace format!("msg: {}", var) with format!("msg: {var}") across 8 files
to satisfy the uninlined_format_args lint (-D warnings) in CI run 178.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
