- Add SceneInfoJson struct with serde rename for camelCase compatibility
- Add ApiEndpointJson and BusinessLogicJson support structs
- Add scene_info_json field to GenerateSceneRequest (backward compatible)
- Rename browser_script to browser_script_skeleton
- Add new browser_script that delegates based on scene_info presence
- Add browser_script_with_business_logic for enhanced script generation
- Update CLI to accept --scene-info-json parameter
- Update usage string to document new parameter
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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.
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Design for enhancing sg_scene_generate to produce complete,
runnable skill packages with:
- Deep LLM extraction from index.html (API endpoints, params, columns)
- Enhanced Rust template rendering with business logic
- Web UI preview of extracted results
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- 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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When HTML has no sgclaw-expected-domain meta tag, analyzer now scans
for external script URLs (http:// or https://) and extracts the
domain (host:port) as expected_domain.
Example:
<script src="http://25.215.213.128:18080/a_js/YPTAPI.js"></script>
→ expected_domain = "25.215.213.128:18080"
This reduces manual editing required for third-party scenes.
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Remove the validation that required target_url, expected_domain, and
entry_script meta tags for ReportCollection scenes. Third-party scenes
do not have these meta tags, so the generator now uses empty values
that users can manually edit in scene.toml.
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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 scene_kind field to GenerateSceneRequest
- Update generate_scene_package to use analyze_scene_source_with_hint
- Implement scene_toml_monitoring for simplified monitoring scene manifests
- Add scene_toml router to dispatch to different templates based on SceneKind
- Add --scene-kind CLI option to sg_scene_generate binary
- Add generator_emits_monitoring_template test
- Create monitoring fixture with index.html (no meta tag, tests hint param)
Monitoring templates have simplified scene.toml without org/period resolvers.
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Remove duplicate implementation in analyze_scene_source() and replace
with simple delegation to analyze_scene_source_with_hint(source_dir, None).
This eliminates ~50 lines of duplicated logic that could drift apart
from the main implementation. Updated the test to verify the new
behavior where sources without scene-kind meta tag default to
ReportCollection instead of being rejected.
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- Add SceneKind::Monitoring enum variant with from_str/as_str helpers
- Add analyze_scene_source_with_hint function accepting optional scene kind hint
- User hint takes priority over meta tag, defaults to ReportCollection
- ReportCollection requires target_url, expected_domain, entry_script
- Monitoring type has optional fields
- Add test cases for hint parameter behavior
- Update non_report fixture with required meta tags for ReportCollection
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Design for extending sg_scene_generate to support multiple scene kinds
(report_collection, monitoring) with manual type selection in Web UI,
relaxing the requirement for meta tags in third-party scene directories.
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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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Adds a web-based UI for generating scene skill packages:
- Node.js HTTP server (zero npm dependencies) on port 3210
- HTML page with glass-morphism UI, dual-panel layout, settings modal
- LLM-powered scene-id/scene-name auto-extraction from directory contents
- Real-time SSE progress streaming during skill generation
- Spawns sg_scene_generate CLI with configurable parameters
- Windows-compatible startup scripts (serve.sh + serve.cmd)
- Rust integration tests for server files and HTML structure
Architecture:
Browser (HTML/JS) → Node.js server → LLM API + cargo run → sg_scene_generate
Files:
frontend/scene-generator/{server.js,config-loader.js,llm-client.js,generator-runner.js,sg_scene_generator.html,serve.sh,serve.cmd}
tests/{scene_generator_server_test.rs,scene_generator_html_test.rs,scene_generator_llm_test.js}
docs/superpowers/{plans,specs}/2026-04-16-scene-skill-generator*
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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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Align the service task flow callback-host regression with the hidden helper close/open bootstrap sequence uncovered during final request-url verification.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Use page context, deterministic plans, and direct-skill metadata as the service-owned bootstrap target precedence so callback-host startup no longer relies on line-loss text matching or the old request-url helper.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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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Sends sgHideBrowerserClosePage (best-effort) before sgHideBrowerserOpenPage
on the same bootstrap WebSocket connection. This prevents duplicate helper
pages across process restarts. Also enables hidden domain mode so the helper
page is not visible to users.
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The close_helper_page function opened a second browser WebSocket
connection during Drop and sent a close command directly via the WS
bypassing the HTTP polling system. This interfered with the browser's
normal state and caused the helper page to fail to open.
The cached_host lift (previous commit) already solves the duplicate
helper page issue within a single process lifetime. The Drop-based
close logic is deferred until a proper cleanup mechanism is designed.
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The `expected_domain` was removed from args for normalization but never
re-inserted, causing JS scripts to receive empty expected_domain and
report "missing_expected_domain" errors.
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Plan for modifying build_eval_js to support async scripts.
Two tasks: modify callback_backend.rs, add test case.
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Design for fixing Promise serialization issue in build_eval_js.
Async functions return Promise which gets JSON.stringify'd to "{}".
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