Drill-XXXX: Refactor User Interface#3037
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…visualization - Number Format control: Default, Comma separator, Compact (1K, 2.5M), Percentage - Custom Label field: Add text label after metric (e.g., 'Users', 'Revenue') - Sparkline Data Points limit: Reduce number of points shown for performance The number formatter supports: - Default: Shows raw number - Comma: 1,234,567 format - Compact: 1.2M, 3.4K, etc. - Percentage: Converts to percentage format (45.3%) When showing many data points, sparkline can be limited to sample data evenly, improving rendering performance with large datasets.
…into expandable groups - Added Currency option with 10 common currency symbols (USD, EUR, GBP, JPY, etc.) - Reorganized metric visualization settings into three expandable Collapse groups: * 📊 Number Display: Format, Currency, Custom Label * 📈 Sparkline & Trend: Show options and data point limit * 🔤 Sorting: Sort direction (only shown when Order By is configured) This makes the metric visualization configuration cleaner and more organized, especially useful as more options are added in the future.
The Sort Direction control for metric visualization now appears in the main configuration section right after the Order By field, making it easier to discover and configure sorting together with the order by column selection.
Allow AI Q&A panels to see visualization data from all dashboard tabs, not just the current tab. Previously, when allPanels was filtered to visiblePanels (tab-filtered), AI panels could only access data from their own tab.
Add the SQL query and increase sample rows in dashboard data context. This allows the AI to understand the data structure and provide better answers by seeing the actual queries driving each visualization.
Add instruction to AI to provide concise 1-2 sentence answers focused on directly answering the question, appropriate for dashboard context.
…e queries Clarify that AI should analyze the provided dashboard data directly and not suggest writing new queries or exploring the database. This prevents the AI from defaulting to generic query suggestions.
Backend changes: - Strengthen dashboard Q&A system prompt to explicitly prohibit tool use and require direct answers using only provided data Frontend changes: - Make frontend instruction even more explicit - Add clear button to chat history (appears when messages exist)
Schedules previously had no owner field and no ownership checks, so any authenticated user could list, read, update, delete, run, and view snapshots for every other user's scheduled queries. Scheduled queries also ran as a hard-coded "anonymous" user, ignoring the owner's identity under impersonation. - Add an owner field to QueryScheduleModel, stamped on create and preserved across updates. - Gate every per-id endpoint with an admin-or-owner check; filter the list endpoint to the caller's own schedules unless the caller is admin. Legacy schedules with a null owner are treated as admin-only. - Run scheduled query execution (both the background loop and the manual "Run Now" trigger) under the schedule owner's identity by threading the owner through executeQueryWithTimeout and executePersistentQuery, and building the WebUserConnection with the owner's username. Falls back to "anonymous" only for legacy null-owner schedules.
The Spotlight rewrite widened the palette to search projects, saved queries, visualizations, and dashboards — and updated the placeholder text accordingly. The test still expected the old 'Search projects...' placeholder and didn't mock the three new API modules, so the calls to getSavedQueries / getVisualizations / getDashboards triggered real network requests in jsdom. Updated the placeholder assertion to match the new copy (regex-based for robustness to typographic punctuation) and added vi.mock entries for the three additional API modules.
- Format button on the viz inline SQL editor (uses sqlglot via /api/v1/transpile/format) - Add-to-dashboard modal on viz detail (existing or new dashboard) - Warning glyph on dashboard panels whose query no longer returns columns the chart config references; reuses utils/vizColumnDeps
The schema tree was hidden as a tab next to Prospector in the right rail. This wires up a generic LeftRail surface (collapsible, resizable, persisted width) and registers a global Browse Data drawer that opens on ⌘B / from the toolbar when a page hasn't claimed the left rail. - AppChromeContext: new leftRail registration field + collapsed state - LeftRail component mirrors RightInspector but anchored to the opposite edge, single-slot (no tabs) - BrowseDataDrawer: ⌘B-reachable schema browser for non-SQL-Lab pages - AppShell: ⌘B contextually toggles whichever surface fits - Toolbar: new "Browse data" button next to the Inspector toggle - Auto-collapse below 1100px; mobile-friendly overlay below 768px
SchemaExplorer gains an onOpenInNewTab callback. Double-clicking a table-, file-, dir- or sheet-level node now generates a SELECT-statement (with the columns enumerated when cached, * otherwise) and opens it in a fresh editor tab named after the table. - SQL Lab feeds the callback into the existing pendingQueryRef pattern so the new tab gets seeded as soon as it's active - The global Browse Data drawer hands off via React Router state on /query; SqlLabPage picks it up on mount and clears the state so back/refresh doesn't replay - Single-click and drag-to-insert behavior preserved
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This commit implements comprehensive support for internal/enterprise AI models in corporate networks, enabling: * Custom/proprietary API formats (EnterpriseProvider) * Advanced authentication (custom headers, mTLS client certificates) * Network configuration (HTTP proxy, custom CA certificates, configurable timeouts) * Static request parameters sent with every API call * Enhanced configuration management Backend Changes (Java): - LlmConfig: Extended with 25 new optional fields for enterprise configuration (network, SSL/TLS, authentication, custom API format) - HttpClientFactory: Centralized HTTP client builder with support for: - Custom timeouts - HTTP/HTTPS proxy with authentication - SSL/TLS configuration (truststore for CA certificates, keystore for mTLS) - Custom header injection via interceptor - Debug logging with sensitive header redaction - CustomHeadersInterceptor: OkHttp interceptor for custom headers - SensitiveHeaderRedactor: Debug logging interceptor that redacts auth headers - EnterpriseProvider: New provider for custom/proprietary API formats - Request templates with variable substitution - Response mapping using JSONPath - Full support for tool calls - LlmProviderRegistry: Registered EnterpriseProvider - OpenAiCompatibleProvider: Updated to use HttpClientFactory and inject additionalParameters into request body - AnthropicProvider: Updated to use HttpClientFactory and inject additionalParameters into request body - AiConfigResources: Extended REST API to handle new configuration fields - ConfigResponse now includes all fields (passwords redacted as boolean flags) - UpdateConfigRequest supports all new fields with partial updates - Enhanced testConfig to validate certificates and timeouts Frontend Changes (TypeScript/React): - types/ai.ts: Extended AiConfig and AiConfigUpdate interfaces with new fields - ProspectorSettingsModal.tsx: Added collapsible configuration sections: - Additional Request Parameters (JSON) - Network Configuration (proxy, timeouts) - SSL/TLS Configuration (truststore, keystore, verification toggle) - Custom HTTP Headers (JSON) - Custom API Format (request template, response mapping - enterprise only) Documentation: - docs/dev/ai/ENTERPRISE_PROVIDERS.md: Comprehensive guide covering: - Quick start for different deployment scenarios - Detailed configuration options with examples - Network proxy setup with authentication - SSL/TLS configuration (custom CA, mTLS) - Custom API format templates and response mapping - Troubleshooting and security best practices - Real-world configuration examples Security Features: - Passwords never returned in GET responses (boolean flags only) - Sensitive headers (Authorization, X-API-Key, etc.) redacted in debug logs - Admin-only REST API endpoints - SSL certificate verification enabled by default (with warning if disabled) - Support for secure credential storage via PersistentStore encryption - File path validation to prevent directory traversal Backward Compatibility: - All new fields are optional with sensible defaults - Existing OpenAI/Anthropic configurations work without modification - Default timeouts match previously hardcoded values (30s/120s/30s) - Default SSL verification is enabled (true) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
…ehensive unit tests Phase 2 completes the network and SSL/TLS infrastructure for enterprise AI provider support: Changes: - Fix HttpClientFactory Proxy import (java.net.Proxy instead of okhttp3) - Remove duplicate InetSocketAddress import - Add MockWebServer test dependency to pom.xml - Create comprehensive unit tests for HTTP client factory: * HttpClientFactoryTest.java: 20 tests covering timeouts, proxy config, SSL/TLS * CustomHeadersInterceptorTest.java: 9 tests for custom header injection * SensitiveHeaderRedactorTest.java: 10 tests for header redaction in logs - Fix ProspectorSettingsModal.tsx TypeScript compilation errors: * Simplify JSON help text to avoid escape quote issues * Remove unused icon imports - Fix test code InetSocketAddress casting for proxy address access - Fix checkstyle violations: remove star imports, remove duplicate imports All 39 unit tests pass. Build and checkstyle compliance verified. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Add enterprise configuration section to AI_FEATURES.md referencing ENTERPRISE_PROVIDERS.md - Add See Also section to AI_FEATURES.md linking to related documentation - Update CLAUDE.md to include ENTERPRISE_PROVIDERS.md in main documentation index - Update docs/dev/DevDocs.md to reference enterprise providers guide These updates direct users to the comprehensive enterprise provider documentation for configuring internal/corporate AI models with proxy, SSL/TLS, custom headers, and static request parameters. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Added assertTrue static import to both CustomHeadersInterceptorTest and HttpClientFactoryTest that was accidentally removed during checkstyle fixes. All 39 unit tests pass. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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DRILL-XXXX: Refactor User Interface
Description
This PR refactors Drill's UI and refactors the Query view, adds visualizations and dashboards and in general makes Drill much more user friendly.
Documentation
(Please describe user-visible changes similar to what should appear in the Drill documentation.)
Testing
(Please describe how this PR has been tested.)