Add analyzeSceneDeep() function that extracts complete SceneInfo from
index.html content including API endpoints, static parameters, column
definitions, and business logic. Also adds http module import to support
non-HTTPS LLM endpoints.
🤖 Generated with [Qoder][https://qoder.com]
- Add /select-folder and /select-file APIs using PowerShell dialogs
- Add --target-url parameter to CLI for explicit target URL override
- Redesign Web UI with folder browse buttons for all path inputs
- Add target_url optional input field for specifying target page URL
- Auto-fill scene-id from selected folder name
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Add scene type selector to the generator form:
- CSS styles for select element matching existing input style
- Dropdown with "报表收集类" (report_collection) and "监测类" (monitoring) options
- Pass sceneKind to /generate API endpoint
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Pass sceneKind to sg_scene_generate CLI when specified,
allowing generation of different scene kinds (report_collection,
monitoring, etc.).
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Add parent sgClaw directory to config search candidates so Node.js
server automatically finds the correct config with DeepSeek API
endpoint instead of the test config in claw-new directory.
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- server.js: sanitize static file paths to prevent directory traversal
(GET /../../sgclaw_config.json would expose API key)
- config-loader.js: fix normalizeBaseUrl to strip /v1 before appending,
preventing double /v1 for non-standard base URLs
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Add self-contained HTML page for the Scene Skill Generator frontend:
- Dual-column glass-morphism layout matching service-console style
- Left sidebar: status card, sourceDir input with analyze button,
sceneId/sceneName inputs, settings button, generate button
- Right panel: streaming log display with SSE event rendering
- Settings modal: outputRoot, lessons, llmBaseUrl, llmModel fields
- JavaScript: connects to http://127.0.0.1:3210, implements analyze()
via fetch POST /analyze, generate() via fetch POST /generate with
SSE stream reading, settings modal open/close
- Rust test verifying HTML file exists and contains required elements
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Add config-loader.js module for loading sgclaw_config.json credentials
and resolving project root directory. Add initial Rust source-guard test
to verify server file paths exist.
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- Auto-connect WebSocket on page load in service console
- Settings modal for editing sgclaw_config.json (API key, base URL, model, skills dir, etc.)
- UpdateConfig/ConfigUpdated protocol messages for remote config save
- save_to_path() for SgClawSettings serialization
- ConfigUpdated handler in sg_claw_client binary
- Protocol serialization tests for new message types
- HTML test assertions for auto-connect and settings UI
- Additional pending changes: deterministic submit, org units, lineloss xlsx export, browser script tool, and docs
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Stabilize the service console and callback-host websocket paths so idle disconnects and mid-task client drops no longer wedge task execution or spam repeated commands.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Provide a local HTML console that reuses the existing service websocket so task entry stays outside the browser-helper runtime path.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
