From 75d70361937375aba8e46e6e02008e8bc7d32d62 Mon Sep 17 00:00:00 2001 From: Antoine Date: Tue, 2 Dec 2025 22:01:49 -0500 Subject: [PATCH] feat: Enhance dashboard with charts, study report viewer, and pruning tracking MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add ConvergencePlot component with running best, statistics, gradient fill - Add ParameterImportanceChart with Pearson correlation analysis - Add StudyReportViewer with KaTeX math rendering and full markdown support - Update pruning endpoint to query Optuna database directly - Add /report endpoint for STUDY_REPORT.md files - Fix chart data transformation for single/multi-objective studies - Update Protocol 13 documentation with new components - Update generate-report skill with dashboard integration 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude --- .claude/skills/generate-report.md | 44 +- .../backend/api/routes/optimization.py | 150 +- atomizer-dashboard/frontend/package-lock.json | 1777 ++++++++++++++++- atomizer-dashboard/frontend/package.json | 4 + .../src/components/ConvergencePlot.tsx | 256 +++ .../components/ParameterImportanceChart.tsx | 184 ++ .../src/components/StudyReportViewer.tsx | 278 +++ .../frontend/src/pages/Dashboard.tsx | 159 +- docs/04_USER_GUIDES/DASHBOARD.md | 70 +- .../protocol_13_dashboard.md | 61 +- 10 files changed, 2917 insertions(+), 66 deletions(-) create mode 100644 atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx create mode 100644 atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx create mode 100644 atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx diff --git a/.claude/skills/generate-report.md b/.claude/skills/generate-report.md index c4c43749..56b6d5a6 100644 --- a/.claude/skills/generate-report.md +++ b/.claude/skills/generate-report.md @@ -1,7 +1,7 @@ # Generate Report Skill -**Last Updated**: November 25, 2025 -**Version**: 1.0 - Optimization Results Analysis and Reporting +**Last Updated**: December 3, 2025 +**Version**: 1.1 - Optimization Results Analysis and Reporting (Dashboard Integration) You are helping the user understand and communicate optimization results. @@ -390,6 +390,45 @@ Would you like me to: 3. Continue optimization to explore more designs? ``` +## Dashboard Integration (December 2025) + +When a STUDY_REPORT.md file is generated, it can be viewed directly in the Atomizer Dashboard: + +1. **Save report to**: `studies/{study_name}/2_results/STUDY_REPORT.md` +2. **View in dashboard**: Click "Study Report" button on the dashboard +3. **Features**: + - Full markdown rendering with proper typography + - Math equation support via KaTeX (`$...$` inline, `$$...$$` block) + - Tables, code blocks, task lists + - Live refresh button for updates during analysis + +### Report Format for Dashboard + +Use standard markdown with optional LaTeX math: + +```markdown +# Study Report: {study_name} + +## Summary + +The optimization achieved a **{improvement}%** improvement in objective. + +## Results + +| Trial | Objective | Improvement | +|-------|-----------|-------------| +| 0 | 100.0 | baseline | +| 10 | 85.5 | 14.5% | + +## Mathematical Formulation + +The RMS wavefront error is calculated as: + +$$\text{RMS} = \sqrt{\frac{1}{N}\sum_{i=1}^{N}c_i^2}$$ + +where $c_i$ are the Zernike coefficients. +``` + ## Notes - Reports should be actionable, not just data dumps @@ -397,3 +436,4 @@ Would you like me to: - Consider the user's stated goals when highlighting results - Visualizations should be generated via Python scripts - Export formats should be compatible with common tools (Excel, etc.) +- **Use STUDY_REPORT.md** for dashboard-viewable reports with math support diff --git a/atomizer-dashboard/backend/api/routes/optimization.py b/atomizer-dashboard/backend/api/routes/optimization.py index f0fe06fa..da867fae 100644 --- a/atomizer-dashboard/backend/api/routes/optimization.py +++ b/atomizer-dashboard/backend/api/routes/optimization.py @@ -21,6 +21,15 @@ router = APIRouter() # Base studies directory STUDIES_DIR = Path(__file__).parent.parent.parent.parent.parent / "studies" + +def get_results_dir(study_dir: Path) -> Path: + """Get the results directory for a study, supporting both 2_results and 3_results.""" + results_dir = study_dir / "2_results" + if not results_dir.exists(): + results_dir = study_dir / "3_results" + return results_dir + + @router.get("/studies") async def list_studies(): """List all available optimization studies""" @@ -44,8 +53,10 @@ async def list_studies(): with open(config_file) as f: config = json.load(f) - # Check if results directory exists + # Check if results directory exists (support both 2_results and 3_results) results_dir = study_dir / "2_results" + if not results_dir.exists(): + results_dir = study_dir / "3_results" # Check for Optuna database (Protocol 10) or JSON history (other protocols) study_db = results_dir / "study.db" @@ -149,8 +160,8 @@ async def get_study_status(study_id: str): with open(config_file) as f: config = json.load(f) - # Check for results - results_dir = study_dir / "2_results" + # Check for results (support both 2_results and 3_results) + results_dir = get_results_dir(study_dir) study_db = results_dir / "study.db" history_file = results_dir / "optimization_history_incremental.json" @@ -267,7 +278,7 @@ async def get_optimization_history(study_id: str, limit: Optional[int] = None): """Get optimization history (all trials)""" try: study_dir = STUDIES_DIR / study_id - results_dir = study_dir / "2_results" + results_dir = get_results_dir(study_dir) study_db = results_dir / "study.db" history_file = results_dir / "optimization_history_incremental.json" @@ -323,16 +334,24 @@ async def get_optimization_history(study_id: str, limit: Optional[int] = None): except (ValueError, TypeError): user_attrs[key] = value_json - # Extract relevant metrics for results (mass, frequency, stress, displacement, etc.) + # Extract ALL numeric metrics from user_attrs for results + # This ensures multi-objective studies show all Zernike metrics, RMS values, etc. results = {} - if "mass" in user_attrs: - results["mass"] = user_attrs["mass"] - if "frequency" in user_attrs: - results["frequency"] = user_attrs["frequency"] - if "max_stress" in user_attrs: - results["max_stress"] = user_attrs["max_stress"] - if "max_displacement" in user_attrs: - results["max_displacement"] = user_attrs["max_displacement"] + excluded_keys = {"design_vars", "constraint_satisfied", "constraint_violations"} + for key, val in user_attrs.items(): + if key in excluded_keys: + continue + # Include numeric values and lists of numbers + if isinstance(val, (int, float)): + results[key] = val + elif isinstance(val, list) and len(val) > 0 and isinstance(val[0], (int, float)): + # For lists, store as-is (e.g., Zernike coefficients) + results[key] = val + elif key == "objectives" and isinstance(val, dict): + # Extract nested objectives dict (Zernike multi-objective studies) + for obj_key, obj_val in val.items(): + if isinstance(obj_val, (int, float)): + results[obj_key] = obj_val # Fallback to first frequency from objectives if available if not results and len(values) > 0: results["first_frequency"] = values[0] @@ -378,18 +397,69 @@ async def get_optimization_history(study_id: str, limit: Optional[int] = None): @router.get("/studies/{study_id}/pruning") async def get_pruning_history(study_id: str): - """Get pruning diagnostics""" + """Get pruning diagnostics from Optuna database or legacy JSON file""" try: study_dir = STUDIES_DIR / study_id - pruning_file = study_dir / "2_results" / "pruning_history.json" + results_dir = get_results_dir(study_dir) + study_db = results_dir / "study.db" + pruning_file = results_dir / "pruning_history.json" + # Protocol 10+: Read from Optuna database + if study_db.exists(): + conn = sqlite3.connect(str(study_db)) + cursor = conn.cursor() + + # Get all pruned trials from Optuna database + cursor.execute(""" + SELECT t.trial_id, t.number, t.datetime_start, t.datetime_complete + FROM trials t + WHERE t.state = 'PRUNED' + ORDER BY t.number DESC + """) + pruned_rows = cursor.fetchall() + + pruned_trials = [] + for trial_id, trial_num, start_time, end_time in pruned_rows: + # Get parameters for this trial + cursor.execute(""" + SELECT param_name, param_value + FROM trial_params + WHERE trial_id = ? + """, (trial_id,)) + params = {row[0]: row[1] for row in cursor.fetchall()} + + # Get user attributes (may contain pruning cause) + cursor.execute(""" + SELECT key, value_json + FROM trial_user_attributes + WHERE trial_id = ? + """, (trial_id,)) + user_attrs = {} + for key, value_json in cursor.fetchall(): + try: + user_attrs[key] = json.loads(value_json) + except (ValueError, TypeError): + user_attrs[key] = value_json + + pruned_trials.append({ + "trial_number": trial_num, + "params": params, + "pruning_cause": user_attrs.get("pruning_cause", "Unknown"), + "start_time": start_time, + "end_time": end_time + }) + + conn.close() + return {"pruned_trials": pruned_trials, "count": len(pruned_trials)} + + # Legacy: Read from JSON history if not pruning_file.exists(): - return {"pruned_trials": []} + return {"pruned_trials": [], "count": 0} with open(pruning_file) as f: pruning_history = json.load(f) - return {"pruned_trials": pruning_history} + return {"pruned_trials": pruning_history, "count": len(pruning_history)} except FileNotFoundError: raise HTTPException(status_code=404, detail=f"Study {study_id} not found") @@ -468,7 +538,7 @@ async def get_optimizer_state(study_id: str): """Read realtime optimizer state from intelligent_optimizer/ (Protocol 13)""" try: study_dir = STUDIES_DIR / study_id - results_dir = study_dir / "2_results" + results_dir = get_results_dir(study_dir) state_file = results_dir / "intelligent_optimizer" / "optimizer_state.json" if not state_file.exists(): @@ -489,7 +559,7 @@ async def get_pareto_front(study_id: str): """Get Pareto-optimal solutions for multi-objective studies (Protocol 13)""" try: study_dir = STUDIES_DIR / study_id - results_dir = study_dir / "2_results" + results_dir = get_results_dir(study_dir) study_db = results_dir / "study.db" if not study_db.exists(): @@ -700,7 +770,7 @@ async def get_optuna_dashboard_url(study_id: str): if not study_dir.exists(): raise HTTPException(status_code=404, detail=f"Study {study_id} not found") - results_dir = study_dir / "2_results" + results_dir = get_results_dir(study_dir) study_db = results_dir / "study.db" if not study_db.exists(): @@ -809,7 +879,7 @@ async def download_report(study_id: str, filename: str): raise HTTPException(status_code=400, detail="Invalid filename") study_dir = STUDIES_DIR / study_id - results_dir = study_dir / "2_results" + results_dir = get_results_dir(study_dir) file_path = results_dir / filename @@ -838,3 +908,41 @@ async def download_report(study_id: str, filename: str): raise HTTPException(status_code=404, detail=f"Report file not found") except Exception as e: raise HTTPException(status_code=500, detail=f"Failed to download report: {str(e)}") + + +@router.get("/studies/{study_id}/report") +async def get_study_report(study_id: str): + """ + Get the STUDY_REPORT.md file content for a study + + Args: + study_id: Study identifier + + Returns: + JSON with the markdown content + """ + try: + study_dir = STUDIES_DIR / study_id + + if not study_dir.exists(): + raise HTTPException(status_code=404, detail=f"Study {study_id} not found") + + # Look for STUDY_REPORT.md in the study root + report_path = study_dir / "STUDY_REPORT.md" + + if not report_path.exists(): + raise HTTPException(status_code=404, detail="No STUDY_REPORT.md found for this study") + + with open(report_path, 'r', encoding='utf-8') as f: + content = f.read() + + return { + "content": content, + "path": str(report_path), + "study_id": study_id + } + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to read study report: {str(e)}") diff --git a/atomizer-dashboard/frontend/package-lock.json b/atomizer-dashboard/frontend/package-lock.json index fe892178..5700ddd2 100644 --- a/atomizer-dashboard/frontend/package-lock.json +++ b/atomizer-dashboard/frontend/package-lock.json @@ -16,9 +16,13 @@ "lucide-react": "^0.554.0", "react": "^18.2.0", "react-dom": "^18.2.0", + "react-markdown": "^10.1.0", "react-router-dom": "^6.20.0", "react-use-websocket": "^4.13.0", "recharts": "^2.10.3", + "rehype-katex": "^7.0.1", + "remark-gfm": "^4.0.1", + "remark-math": "^6.0.0", "tailwind-merge": "^3.4.0", "three": "^0.181.2" }, @@ -1574,6 +1578,15 @@ "integrity": "sha512-Ps3T8E8dZDam6fUyNiMkekK3XUsaUEik+idO9/YjPtfj2qruF8tFBXS7XhtE4iIXBLxhmLjP3SXpLhVf21I9Lw==", "license": "MIT" }, + "node_modules/@types/debug": { + "version": "4.1.12", + "resolved": "https://registry.npmjs.org/@types/debug/-/debug-4.1.12.tgz", + "integrity": "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==", + "license": "MIT", + "dependencies": { + "@types/ms": "*" + } + }, "node_modules/@types/draco3d": { "version": "1.4.10", "resolved": "https://registry.npmjs.org/@types/draco3d/-/draco3d-1.4.10.tgz", @@ 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"resolved": "https://registry.npmjs.org/remark-parse/-/remark-parse-11.0.0.tgz", + "integrity": "sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "mdast-util-from-markdown": "^2.0.0", + "micromark-util-types": "^2.0.0", + "unified": "^11.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/remark-rehype": { + "version": "11.1.2", + "resolved": "https://registry.npmjs.org/remark-rehype/-/remark-rehype-11.1.2.tgz", + "integrity": "sha512-Dh7l57ianaEoIpzbp0PC9UKAdCSVklD8E5Rpw7ETfbTl3FqcOOgq5q2LVDhgGCkaBv7p24JXikPdvhhmHvKMsw==", + "license": "MIT", + "dependencies": { + "@types/hast": "^3.0.0", + "@types/mdast": "^4.0.0", + "mdast-util-to-hast": "^13.0.0", + "unified": "^11.0.0", + "vfile": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/remark-stringify": { + "version": "11.0.0", + "resolved": "https://registry.npmjs.org/remark-stringify/-/remark-stringify-11.0.0.tgz", + "integrity": "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw==", + "license": "MIT", + "dependencies": { + "@types/mdast": "^4.0.0", + "mdast-util-to-markdown": "^2.0.0", + "unified": "^11.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/require-from-string": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz", @@ -4583,6 +6113,16 @@ "node": ">=0.10.0" } }, + "node_modules/space-separated-tokens": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/space-separated-tokens/-/space-separated-tokens-2.0.2.tgz", + "integrity": "sha512-PEGlAwrG8yXGXRjW32fGbg66JAlOAwbObuqVoJpv/mRgoWDQfgH1wDPvtzWyUSNAXBGSk8h755YDbbcEy3SH2Q==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/stats-gl": { "version": "2.4.2", "resolved": "https://registry.npmjs.org/stats-gl/-/stats-gl-2.4.2.tgz", @@ -4609,6 +6149,20 @@ "integrity": "sha512-hNKz8phvYLPEcRkeG1rsGmV5ChMjKDAWU7/OJJdDErPBNChQXxCo3WZurGpnWc6gZhAzEPFad1aVgyOANH1sMw==", "license": "MIT" }, + "node_modules/stringify-entities": { + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/stringify-entities/-/stringify-entities-4.0.4.tgz", + "integrity": "sha512-IwfBptatlO+QCJUo19AqvrPNqlVMpW9YEL2LIVY+Rpv2qsjCGxaDLNRgeGsQWJhfItebuJhsGSLjaBbNSQ+ieg==", + "license": "MIT", + "dependencies": { + "character-entities-html4": "^2.0.0", + "character-entities-legacy": "^3.0.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/strip-ansi": { "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", @@ -4635,6 +6189,24 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/style-to-js": { + "version": "1.1.21", + "resolved": "https://registry.npmjs.org/style-to-js/-/style-to-js-1.1.21.tgz", + "integrity": "sha512-RjQetxJrrUJLQPHbLku6U/ocGtzyjbJMP9lCNK7Ag0CNh690nSH8woqWH9u16nMjYBAok+i7JO1NP2pOy8IsPQ==", + "license": "MIT", + "dependencies": { + "style-to-object": "1.0.14" + } + }, + "node_modules/style-to-object": { + "version": "1.0.14", + "resolved": "https://registry.npmjs.org/style-to-object/-/style-to-object-1.0.14.tgz", + "integrity": "sha512-LIN7rULI0jBscWQYaSswptyderlarFkjQ+t79nzty8tcIAceVomEVlLzH5VP4Cmsv6MtKhs7qaAiwlcp+Mgaxw==", + "license": "MIT", + "dependencies": { + "inline-style-parser": "0.2.7" + } + }, "node_modules/sucrase": { "version": "3.35.1", "resolved": "https://registry.npmjs.org/sucrase/-/sucrase-3.35.1.tgz", @@ -4876,6 +6448,16 @@ "node": ">=8.0" } }, + "node_modules/trim-lines": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/trim-lines/-/trim-lines-3.0.1.tgz", + "integrity": "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/troika-three-text": { "version": "0.52.4", "resolved": "https://registry.npmjs.org/troika-three-text/-/troika-three-text-0.52.4.tgz", @@ -4906,6 +6488,16 @@ "integrity": "sha512-W1CpvTHykaPH5brv5VHLfQo9D1OYuo0cSBEUQFFT/nBUzM8iD6Lq2/tgG/f1OelbAS1WtaTPQzE5uM49egnngw==", "license": "MIT" }, + "node_modules/trough": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/trough/-/trough-2.2.0.tgz", + "integrity": "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/ts-api-utils": { "version": "1.4.3", "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-1.4.3.tgz", @@ -5003,6 +6595,121 @@ "node": ">=14.17" } }, + "node_modules/unified": { + "version": "11.0.5", + "resolved": "https://registry.npmjs.org/unified/-/unified-11.0.5.tgz", + "integrity": "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "bail": "^2.0.0", + "devlop": "^1.0.0", + "extend": "^3.0.0", + "is-plain-obj": "^4.0.0", + "trough": "^2.0.0", + "vfile": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-find-after": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/unist-util-find-after/-/unist-util-find-after-5.0.0.tgz", + "integrity": "sha512-amQa0Ep2m6hE2g72AugUItjbuM8X8cGQnFoHk0pGfrFeT9GZhzN5SW8nRsiGKK7Aif4CrACPENkA6P/Lw6fHGQ==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-is": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-is": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/unist-util-is/-/unist-util-is-6.0.1.tgz", + "integrity": "sha512-LsiILbtBETkDz8I9p1dQ0uyRUWuaQzd/cuEeS1hoRSyW5E5XGmTzlwY1OrNzzakGowI9Dr/I8HVaw4hTtnxy8g==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-position": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/unist-util-position/-/unist-util-position-5.0.0.tgz", + "integrity": "sha512-fucsC7HjXvkB5R3kTCO7kUjRdrS0BJt3M/FPxmHMBOm8JQi2BsHAHFsy27E0EolP8rp0NzXsJ+jNPyDWvOJZPA==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-remove-position": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/unist-util-remove-position/-/unist-util-remove-position-5.0.0.tgz", + "integrity": "sha512-Hp5Kh3wLxv0PHj9m2yZhhLt58KzPtEYKQQ4yxfYFEO7EvHwzyDYnduhHnY1mDxoqr7VUwVuHXk9RXKIiYS1N8Q==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-visit": "^5.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-stringify-position": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/unist-util-stringify-position/-/unist-util-stringify-position-4.0.0.tgz", + "integrity": "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-visit": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/unist-util-visit/-/unist-util-visit-5.0.0.tgz", + "integrity": "sha512-MR04uvD+07cwl/yhVuVWAtw+3GOR/knlL55Nd/wAdblk27GCVt3lqpTivy/tkJcZoNPzTwS1Y+KMojlLDhoTzg==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-is": "^6.0.0", + "unist-util-visit-parents": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-visit-parents": { + "version": "6.0.2", + "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.2.tgz", + "integrity": "sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-is": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/update-browserslist-db": { "version": "1.1.4", "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.4.tgz", @@ -5069,6 +6776,48 @@ "node": ">= 4" } }, + "node_modules/vfile": { + "version": "6.0.3", + "resolved": "https://registry.npmjs.org/vfile/-/vfile-6.0.3.tgz", + "integrity": "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "vfile-message": "^4.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/vfile-location": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/vfile-location/-/vfile-location-5.0.3.tgz", + "integrity": "sha512-5yXvWDEgqeiYiBe1lbxYF7UMAIm/IcopxMHrMQDq3nvKcjPKIhZklUKL+AE7J7uApI4kwe2snsK+eI6UTj9EHg==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "vfile": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/vfile-message": { + "version": "4.0.3", + "resolved": "https://registry.npmjs.org/vfile-message/-/vfile-message-4.0.3.tgz", + "integrity": "sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw==", + "license": "MIT", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-stringify-position": "^4.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, "node_modules/victory-vendor": { "version": "36.9.2", "resolved": "https://registry.npmjs.org/victory-vendor/-/victory-vendor-36.9.2.tgz", @@ -5151,6 +6900,16 @@ } } }, + "node_modules/web-namespaces": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/web-namespaces/-/web-namespaces-2.0.1.tgz", + "integrity": "sha512-bKr1DkiNa2krS7qxNtdrtHAmzuYGFQLiQ13TsorsdT6ULTkPLKuu5+GsFpDlg6JFjUTwX2DyhMPG2be8uPrqsQ==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/webgl-constants": { "version": "1.1.1", "resolved": "https://registry.npmjs.org/webgl-constants/-/webgl-constants-1.1.1.tgz", @@ -5242,6 +7001,16 @@ "optional": true } } + }, + "node_modules/zwitch": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/atomizer-dashboard/frontend/package.json b/atomizer-dashboard/frontend/package.json index 85c29a0a..2d3e2657 100644 --- a/atomizer-dashboard/frontend/package.json +++ b/atomizer-dashboard/frontend/package.json @@ -18,9 +18,13 @@ "lucide-react": "^0.554.0", "react": "^18.2.0", "react-dom": "^18.2.0", + "react-markdown": "^10.1.0", "react-router-dom": "^6.20.0", "react-use-websocket": "^4.13.0", "recharts": "^2.10.3", + "rehype-katex": "^7.0.1", + "remark-gfm": "^4.0.1", + "remark-math": "^6.0.0", "tailwind-merge": "^3.4.0", "three": "^0.181.2" }, diff --git a/atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx b/atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx new file mode 100644 index 00000000..196f4f3b --- /dev/null +++ b/atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx @@ -0,0 +1,256 @@ +/** + * Convergence Plot + * Shows optimization progress over time with running best and improvement rate + */ + +import { useMemo } from 'react'; +import { + LineChart, + Line, + XAxis, + YAxis, + Tooltip, + ResponsiveContainer, + ReferenceLine, + Area, + ComposedChart, + Legend +} from 'recharts'; + +interface Trial { + trial_number: number; + values: number[]; + state?: string; +} + +interface ConvergencePlotProps { + trials: Trial[]; + objectiveIndex?: number; + objectiveName?: string; + direction?: 'minimize' | 'maximize'; +} + +export function ConvergencePlot({ + trials, + objectiveIndex = 0, + objectiveName = 'Objective', + direction = 'minimize' +}: ConvergencePlotProps) { + const convergenceData = useMemo(() => { + if (!trials || trials.length === 0) return []; + + // Sort by trial number + const sortedTrials = [...trials] + .filter(t => t.values && t.values.length > objectiveIndex && t.state !== 'FAIL') + .sort((a, b) => a.trial_number - b.trial_number); + + if (sortedTrials.length === 0) return []; + + let runningBest = direction === 'minimize' ? Infinity : -Infinity; + const data = sortedTrials.map((trial, idx) => { + const value = trial.values[objectiveIndex]; + + // Update running best + if (direction === 'minimize') { + runningBest = Math.min(runningBest, value); + } else { + runningBest = Math.max(runningBest, value); + } + + // Calculate improvement from first trial + const firstValue = sortedTrials[0].values[objectiveIndex]; + const improvement = direction === 'minimize' + ? ((firstValue - runningBest) / firstValue) * 100 + : ((runningBest - firstValue) / firstValue) * 100; + + return { + trial: trial.trial_number, + value, + best: runningBest, + improvement: Math.max(0, improvement), + index: idx + 1 + }; + }); + + return data; + }, [trials, objectiveIndex, direction]); + + // Calculate statistics + const stats = useMemo(() => { + if (convergenceData.length === 0) return null; + + const values = convergenceData.map(d => d.value); + const best = convergenceData[convergenceData.length - 1]?.best ?? 0; + const first = convergenceData[0]?.value ?? 0; + const improvement = direction === 'minimize' + ? ((first - best) / first) * 100 + : ((best - first) / first) * 100; + + // Calculate when we found 90% of the improvement + const targetImprovement = 0.9 * improvement; + let trialsTo90 = convergenceData.length; + for (let i = 0; i < convergenceData.length; i++) { + if (convergenceData[i].improvement >= targetImprovement) { + trialsTo90 = i + 1; + break; + } + } + + return { + best, + first, + improvement: Math.max(0, improvement), + totalTrials: convergenceData.length, + trialsTo90, + mean: values.reduce((a, b) => a + b, 0) / values.length, + std: Math.sqrt(values.map(v => Math.pow(v - values.reduce((a, b) => a + b, 0) / values.length, 2)).reduce((a, b) => a + b, 0) / values.length) + }; + }, [convergenceData, direction]); + + if (convergenceData.length === 0) { + return ( +
+

Convergence Plot

+
+ No trial data available +
+
+ ); + } + + return ( +
+
+
+

Convergence Plot

+

+ {objectiveName} over {convergenceData.length} trials +

+
+ + {stats && ( +
+
+
Best
+
{stats.best.toFixed(4)}
+
+
+
Improvement
+
{stats.improvement.toFixed(1)}%
+
+
+
90% at trial
+
#{stats.trialsTo90}
+
+
+ )} +
+ +
+ + + + + + + + + + v.toFixed(2)} + label={{ value: objectiveName, angle: -90, position: 'insideLeft', fill: '#94a3b8', fontSize: 12 }} + /> + { + const label = name === 'value' ? 'Trial Value' : + name === 'best' ? 'Running Best' : name; + return [value.toFixed(4), label]; + }} + labelFormatter={(label) => `Trial #${label}`} + /> + value === 'value' ? 'Trial Value' : 'Running Best'} + /> + + {/* Area under trial values */} + + + {/* Trial values as scatter points */} + + + {/* Running best line */} + + + {/* Reference line at best value */} + {stats && ( + + )} + + +
+ + {/* Summary stats bar */} + {stats && ( +
+
+
First Value
+
{stats.first.toFixed(4)}
+
+
+
Mean
+
{stats.mean.toFixed(4)}
+
+
+
Std Dev
+
{stats.std.toFixed(4)}
+
+
+
Total Trials
+
{stats.totalTrials}
+
+
+ )} +
+ ); +} diff --git a/atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx b/atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx new file mode 100644 index 00000000..16f058ba --- /dev/null +++ b/atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx @@ -0,0 +1,184 @@ +/** + * Parameter Importance Chart + * Shows which design parameters have the most impact on objectives + * Uses correlation analysis between parameters and objective values + */ + +import { useMemo } from 'react'; +import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts'; + +interface Trial { + trial_number: number; + values: number[]; + params: Record; +} + +interface DesignVariable { + name: string; + parameter?: string; + unit?: string; +} + +interface ParameterImportanceChartProps { + trials: Trial[]; + designVariables: DesignVariable[]; + objectiveIndex?: number; + objectiveName?: string; +} + +// Calculate Pearson correlation coefficient +function pearsonCorrelation(x: number[], y: number[]): number { + if (x.length !== y.length || x.length < 2) return 0; + + const n = x.length; + const sumX = x.reduce((a, b) => a + b, 0); + const sumY = y.reduce((a, b) => a + b, 0); + const sumXY = x.reduce((acc, xi, i) => acc + xi * y[i], 0); + const sumX2 = x.reduce((acc, xi) => acc + xi * xi, 0); + const sumY2 = y.reduce((acc, yi) => acc + yi * yi, 0); + + const numerator = n * sumXY - sumX * sumY; + const denominator = Math.sqrt((n * sumX2 - sumX * sumX) * (n * sumY2 - sumY * sumY)); + + if (denominator === 0) return 0; + return numerator / denominator; +} + +export function ParameterImportanceChart({ + trials, + designVariables, + objectiveIndex = 0, + objectiveName = 'Objective' +}: ParameterImportanceChartProps) { + const importanceData = useMemo(() => { + if (!trials || trials.length < 3 || !designVariables || designVariables.length === 0) { + return []; + } + + // Extract objective values + const objectiveValues = trials + .filter(t => t.values && t.values.length > objectiveIndex) + .map(t => t.values[objectiveIndex]); + + if (objectiveValues.length < 3) return []; + + // Calculate correlation for each parameter + const importances = designVariables.map(dv => { + const paramName = dv.parameter || dv.name; + const paramValues = trials + .filter(t => t.params && paramName in t.params && t.values && t.values.length > objectiveIndex) + .map(t => t.params[paramName]); + + const corrObjectiveValues = trials + .filter(t => t.params && paramName in t.params && t.values && t.values.length > objectiveIndex) + .map(t => t.values[objectiveIndex]); + + if (paramValues.length < 3) return { name: dv.name, importance: 0, correlation: 0 }; + + const correlation = pearsonCorrelation(paramValues, corrObjectiveValues); + // Use absolute correlation as importance (sign indicates direction) + const importance = Math.abs(correlation); + + return { + name: dv.name, + importance: importance * 100, // Convert to percentage + correlation, + direction: correlation > 0 ? 'positive' : 'negative' + }; + }); + + // Sort by importance (descending) + return importances.sort((a, b) => b.importance - a.importance); + }, [trials, designVariables, objectiveIndex]); + + if (importanceData.length === 0) { + return ( +
+

Parameter Importance

+
+ Need at least 3 trials for correlation analysis +
+
+ ); + } + + // Color based on correlation direction + const getBarColor = (entry: typeof importanceData[0]) => { + if (entry.correlation > 0) { + // Positive correlation (increasing param increases objective) - red for minimization + return '#f87171'; + } else { + // Negative correlation (increasing param decreases objective) - green for minimization + return '#34d399'; + } + }; + + return ( +
+
+

Parameter Importance

+

+ Correlation with {objectiveName} ({trials.length} trials) +

+
+ +
+ + + `${v.toFixed(0)}%`} + tick={{ fill: '#94a3b8', fontSize: 11 }} + stroke="#334155" + /> + + { + const corr = props.payload.correlation; + return [ + `${value.toFixed(1)}% (r=${corr.toFixed(3)})`, + 'Importance' + ]; + }} + contentStyle={{ + backgroundColor: '#1e293b', + border: '1px solid #334155', + borderRadius: '8px', + boxShadow: '0 4px 6px rgba(0,0,0,0.3)' + }} + labelStyle={{ color: '#e2e8f0' }} + /> + + {importanceData.map((entry, index) => ( + + ))} + + + +
+ + {/* Legend */} +
+
+
+ Negative correlation (helps minimize) +
+
+
+ Positive correlation (hurts minimize) +
+
+
+ ); +} diff --git a/atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx b/atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx new file mode 100644 index 00000000..2350a1d7 --- /dev/null +++ b/atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx @@ -0,0 +1,278 @@ +/** + * Study Report Viewer + * Displays the STUDY_REPORT.md file with proper markdown rendering + * Includes math equation support via KaTeX and syntax highlighting + */ + +import { useState, useEffect } from 'react'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import remarkMath from 'remark-math'; +import rehypeKatex from 'rehype-katex'; +import 'katex/dist/katex.min.css'; +import { FileText, X, ExternalLink, RefreshCw } from 'lucide-react'; + +interface StudyReportViewerProps { + studyId: string; + studyPath?: string; +} + +export function StudyReportViewer({ studyId, studyPath }: StudyReportViewerProps) { + const [isOpen, setIsOpen] = useState(false); + const [markdown, setMarkdown] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + + const fetchReport = async () => { + setLoading(true); + setError(null); + try { + const response = await fetch(`/api/optimization/studies/${studyId}/report`); + if (!response.ok) { + if (response.status === 404) { + setError('No STUDY_REPORT.md found for this study'); + } else { + throw new Error(`HTTP ${response.status}`); + } + return; + } + const data = await response.json(); + setMarkdown(data.content); + } catch (err) { + setError(`Failed to load report: ${err}`); + } finally { + setLoading(false); + } + }; + + useEffect(() => { + if (isOpen && !markdown) { + fetchReport(); + } + }, [isOpen, studyId]); + + if (!isOpen) { + return ( + + ); + } + + return ( +
+
+ {/* Header */} +
+
+ +
+

Study Report

+

{studyId}/STUDY_REPORT.md

+
+
+
+ + {studyPath && ( + + + + )} + +
+
+ + {/* Content */} +
+ {loading && ( +
+
+
+ )} + + {error && ( +
+ +

{error}

+ +
+ )} + + {markdown && !loading && ( +
+ ( +

+ {children} +

+ ), + h2: ({children}) => ( +

+ {children} +

+ ), + h3: ({children}) => ( +

+ {children} +

+ ), + h4: ({children}) => ( +

+ {children} +

+ ), + // Paragraph styling + p: ({children}) => ( +

+ {children} +

+ ), + // List styling + ul: ({children}) => ( +
    + {children} +
+ ), + ol: ({children}) => ( +
    + {children} +
+ ), + li: ({children}) => ( +
  • + {children} +
    • + ), + // Strong/bold text + strong: ({children}) => ( + + {children} + + ), + // Emphasis/italic + em: ({children}) => ( + + {children} + + ), + // Links + a: ({href, children}) => ( + + {children} + + ), + // Inline code + code: ({className, children, ...props}) => { + const isInline = !className; + if (isInline) { + return ( + + {children} + + ); + } + // Code block + return ( + + {children} + + ); + }, + // Code blocks with pre wrapper + pre: ({children}) => ( + 
    +                      {children}
+
    + ), + // Blockquotes + blockquote: ({children}) => ( +
    + {children} +
    + ), + // Tables + table: ({children}) => ( +
    + + {children} +
    +
    + ), + thead: ({children}) => ( + + {children} + + ), + th: ({children}) => ( + + {children} + + ), + td: ({children}) => ( + + {children} + + ), + tr: ({children}) => ( + + {children} + + ), + // Horizontal rule + hr: () => ( +
    + ), + // Images + img: ({src, alt}) => ( + {alt + ), + }} + > + {markdown} +     +
    + )} +
    +
    +
    + ); +} diff --git a/atomizer-dashboard/frontend/src/pages/Dashboard.tsx b/atomizer-dashboard/frontend/src/pages/Dashboard.tsx index b16f8be4..d1d4afb4 100644 --- a/atomizer-dashboard/frontend/src/pages/Dashboard.tsx +++ b/atomizer-dashboard/frontend/src/pages/Dashboard.tsx @@ -11,6 +11,9 @@ import { StudyCard } from '../components/dashboard/StudyCard'; import { OptimizerPanel } from '../components/OptimizerPanel'; import { ParetoPlot } from '../components/ParetoPlot'; import { ParallelCoordinatesPlot } from '../components/ParallelCoordinatesPlot'; +import { ParameterImportanceChart } from '../components/ParameterImportanceChart'; +import { ConvergencePlot } from '../components/ConvergencePlot'; +import { StudyReportViewer } from '../components/StudyReportViewer'; import type { Study, Trial, ConvergenceDataPoint, ParameterSpaceDataPoint } from '../types'; export default function Dashboard() { @@ -25,6 +28,10 @@ export default function Dashboard() { const [expandedTrials, setExpandedTrials] = useState>(new Set()); const [sortBy, setSortBy] = useState<'performance' | 'chronological'>('performance'); + // Parameter Space axis selection + const [paramXIndex, setParamXIndex] = useState(0); + const [paramYIndex, setParamYIndex] = useState(1); + // Protocol 13: New state for metadata and Pareto front const [studyMetadata, setStudyMetadata] = useState(null); const [paretoFront, setParetoFront] = useState([]); @@ -102,7 +109,8 @@ export default function Dashboard() { apiClient.getStudyPruning(selectedStudyId) .then(data => { - setPrunedCount(data.pruned_trials?.length || 0); + // Use count if available (new API), fallback to array length (legacy) + setPrunedCount(data.count ?? data.pruned_trials?.length ?? 0); }) .catch(console.error); @@ -129,18 +137,29 @@ export default function Dashboard() { }) .catch(err => console.error('Failed to load Pareto front:', err)); - // Fetch ALL trials (not just Pareto) for parallel coordinates + // Fetch ALL trials (not just Pareto) for parallel coordinates and charts fetch(`/api/optimization/studies/${selectedStudyId}/history`) .then(res => res.json()) .then(data => { - // Transform to match the format expected by ParallelCoordinatesPlot - const trialsData = data.trials.map((t: any) => ({ - trial_number: t.trial_number, - values: t.values || [], - params: t.design_variables || {}, - user_attrs: t.user_attrs || {}, - constraint_satisfied: t.constraint_satisfied !== false - })); + // Transform to match the format expected by charts + // API returns 'objectives' (array) for multi-objective, 'objective' (number) for single + const trialsData = data.trials.map((t: any) => { + // Build values array: use objectives if available, otherwise wrap single objective + let values: number[] = []; + if (t.objectives && Array.isArray(t.objectives)) { + values = t.objectives; + } else if (t.objective !== null && t.objective !== undefined) { + values = [t.objective]; + } + + return { + trial_number: t.trial_number, + values, + params: t.design_variables || {}, + user_attrs: t.user_attrs || {}, + constraint_satisfied: t.constraint_satisfied !== false + }; + }); setAllTrialsRaw(trialsData); }) .catch(err => console.error('Failed to load all trials:', err)); @@ -204,8 +223,8 @@ export default function Dashboard() { const params = Object.values(trial.design_variables); return { trial_number: trial.trial_number, - x: params[0] || 0, - y: params[1] || 0, + x: params[paramXIndex] || 0, + y: params[paramYIndex] || 0, objective: trial.objective, isBest: trial.objective === bestValue, }; @@ -293,6 +312,9 @@ export default function Dashboard() {

    Real-time optimization monitoring

    + {selectedStudyId && ( + + )}
    - {/* Quick Preview */} + {/* Quick Preview - Show ALL metrics */} {!isExpanded && trial.results && Object.keys(trial.results).length > 0 && (
    - {trial.results.mass && ( - Mass: {trial.results.mass.toFixed(2)}g - )} - {trial.results.frequency && ( - Freq: {trial.results.frequency.toFixed(2)}Hz + {Object.entries(trial.results).slice(0, 6).map(([key, val]) => { + // Format value based on type + const formatValue = (v: unknown): string => { + if (typeof v === 'number') { + // Use fewer decimals for quick preview + return Math.abs(v) < 0.01 ? v.toExponential(2) : v.toFixed(2); + } + if (Array.isArray(v)) return `[${v.length}]`; + return String(v); + }; + // Format key: snake_case to Title Case, abbreviate long names + const formatKey = (k: string): string => { + const short = k.replace(/_/g, ' ') + .replace(/rel /g, 'Δ') + .replace(/filtered rms/g, 'fRMS') + .replace(/global rms/g, 'gRMS') + .replace(/ vs /g, '/') + .replace(/mfg /g, '') + .replace(/optician workload/g, 'work'); + return short.length > 15 ? short.slice(0, 12) + '...' : short; + }; + return ( + + {formatKey(key)}: {formatValue(val)} + + ); + })} + {Object.keys(trial.results).length > 6 && ( + +{Object.keys(trial.results).length - 6} more )}
    )} diff --git a/docs/04_USER_GUIDES/DASHBOARD.md b/docs/04_USER_GUIDES/DASHBOARD.md index 6f40d86a..bef9bc7b 100644 --- a/docs/04_USER_GUIDES/DASHBOARD.md +++ b/docs/04_USER_GUIDES/DASHBOARD.md @@ -1,6 +1,6 @@ # Atomizer Dashboard -**Last Updated**: November 23, 2025 +**Last Updated**: December 3, 2025 --- @@ -83,23 +83,50 @@ Displays algorithm information: - **Objectives Count**: Number of optimization objectives - **Design Variables Count**: Number of design parameters -### 3. Convergence Monitoring -- **Convergence Plot**: Best value vs. trial number -- **Real-time Updates**: WebSocket-driven live updates -- **Pruned Trials**: Visual indication of pruned trials +### 3. Convergence Plot (Enhanced) +**File**: `atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx` -### 4. Parameter Space Exploration -- **2D Scatter Plot**: Design variable relationships -- **Color Mapping**: Objective values mapped to color intensity -- **Interactive Tooltips**: Trial details on hover +Advanced convergence visualization: +- **Dual-line plot**: Individual trial values + running best trajectory +- **Area fill**: Gradient under trial values curve +- **Statistics panel**: Best value, improvement %, 90% convergence trial +- **Summary footer**: First value, mean, std dev, total trials +- **Step-after interpolation**: Running best shown as step function -### 5. Trial History Table +### 4. Parameter Importance Chart +**File**: `atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx` + +Correlation-based parameter analysis: +- **Pearson correlation**: Calculates correlation between each parameter and objective +- **Horizontal bar chart**: Parameters ranked by absolute importance +- **Color coding**: Green (negative correlation - helps minimize), Red (positive - hurts minimize) +- **Tooltip**: Shows percentage importance and raw correlation coefficient (r) +- **Minimum 3 trials**: Required for statistical significance + +### 5. Study Report Viewer +**File**: `atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx` + +Full-featured markdown report viewer: +- **Modal overlay**: Full-screen report viewing +- **Math equations**: KaTeX support for LaTeX math (`$...$` inline, `$$...$$` block) +- **GitHub-flavored markdown**: Tables, code blocks, task lists +- **Custom styling**: Dark theme with proper typography +- **Syntax highlighting**: Code blocks with language detection +- **Refresh button**: Re-fetch report for live updates +- **External link**: Open in system editor + +### 6. Trial History Table - Comprehensive list of all trials - Sortable columns - Status indicators (COMPLETE, PRUNED, FAIL) - Parameter values and objective values - User attributes (constraints) +### 7. Pruned Trials Tracking +- **Real-time count**: Fetched directly from Optuna database +- **Pruning diagnostics**: Tracks pruned trial params and causes +- **Database query**: Uses SQLite `state = 'PRUNED'` filter + --- ## API Endpoints @@ -286,6 +313,9 @@ atomizer-dashboard/ │ │ │ ├── ParallelCoordinatesPlot.tsx # Multi-objective visualization │ │ │ ├── ParetoPlot.tsx # Pareto front scatter plot │ │ │ ├── OptimizerPanel.tsx # Strategy information +│ │ │ ├── ConvergencePlot.tsx # Enhanced convergence chart +│ │ │ ├── ParameterImportanceChart.tsx # Correlation-based importance +│ │ │ ├── StudyReportViewer.tsx # Markdown report viewer │ │ │ ├── common/ │ │ │ │ └── Card.tsx # Reusable card component │ │ │ └── dashboard/ @@ -307,6 +337,15 @@ atomizer-dashboard/ └── optimization.py # Optimization endpoints ``` +## NPM Dependencies + +The frontend uses these key packages: +- `react-markdown` - Markdown rendering +- `remark-gfm` - GitHub-flavored markdown support +- `remark-math` - Math equation parsing +- `rehype-katex` - KaTeX math rendering +- `recharts` - Interactive charts + --- ## Data Flow @@ -368,7 +407,16 @@ if (!objectives || !designVariables) return ; --- -## Future Enhancements +## Recent Updates (December 2025) + +### Completed +- [x] **Convergence Plot**: Enhanced with running best, statistics, and gradient fill +- [x] **Parameter Importance Chart**: Correlation analysis with color-coded bars +- [x] **Study Report Viewer**: Full markdown rendering with KaTeX math support +- [x] **Pruned Trials**: Real-time count from Optuna database (not JSON file) +- [x] **Chart Data Transformation**: Fixed `values` array mapping for single/multi-objective + +### Future Enhancements - [ ] 3D Pareto front visualization for 3+ objectives - [ ] Advanced filtering and search in trial history diff --git a/docs/06_PROTOCOLS_DETAILED/protocol_13_dashboard.md b/docs/06_PROTOCOLS_DETAILED/protocol_13_dashboard.md index 2c210d3e..55343459 100644 --- a/docs/06_PROTOCOLS_DETAILED/protocol_13_dashboard.md +++ b/docs/06_PROTOCOLS_DETAILED/protocol_13_dashboard.md @@ -1,7 +1,7 @@ # Protocol 13: Real-Time Dashboard Tracking -**Status**: ✅ COMPLETED -**Date**: November 21, 2025 +**Status**: ✅ COMPLETED (Enhanced December 2025) +**Date**: November 21, 2025 (Last Updated: December 3, 2025) **Priority**: P1 (Critical) ## Overview @@ -130,7 +130,39 @@ Stiffness Mass support_angle tip_thickness | ╱ ╲ | ``` -#### 4. Dashboard Integration +#### 4. ConvergencePlot Component (NEW - December 2025) +**File**: `atomizer-dashboard/frontend/src/components/ConvergencePlot.tsx` + +**Features**: +- Dual-line visualization: trial values + running best +- Area fill gradient under trial curve +- Statistics header: Best value, Improvement %, 90% convergence trial +- Summary footer: First value, Mean, Std Dev, Total trials +- Step-after interpolation for running best line +- Reference line at best value + +#### 5. ParameterImportanceChart Component (NEW - December 2025) +**File**: `atomizer-dashboard/frontend/src/components/ParameterImportanceChart.tsx` + +**Features**: +- Pearson correlation between parameters and objectives +- Horizontal bar chart sorted by absolute importance +- Color coding: Green (negative correlation), Red (positive correlation) +- Tooltip with percentage and raw correlation coefficient +- Requires minimum 3 trials for statistical analysis + +#### 6. StudyReportViewer Component (NEW - December 2025) +**File**: `atomizer-dashboard/frontend/src/components/StudyReportViewer.tsx` + +**Features**: +- Full-screen modal for viewing STUDY_REPORT.md +- KaTeX math equation rendering (`$...$` inline, `$$...$$` block) +- GitHub-flavored markdown (tables, code blocks, task lists) +- Custom dark theme styling for all markdown elements +- Refresh button for live updates +- External link to open in system editor + +#### 7. Dashboard Integration **File**: `atomizer-dashboard/frontend/src/pages/Dashboard.tsx` **Layout Structure**: @@ -292,6 +324,28 @@ npm run dev # Runs on port 3001 - **Real-time writes**: <5ms per trial (JSON serialization) - **Dashboard load time**: <500ms initial render +## December 2025 Enhancements + +### Completed +- [x] **ConvergencePlot**: Enhanced with running best, statistics panel, gradient fill +- [x] **ParameterImportanceChart**: Pearson correlation analysis with color-coded bars +- [x] **StudyReportViewer**: Full markdown rendering with KaTeX math equation support +- [x] **Pruning endpoint**: Now queries Optuna SQLite directly instead of JSON file +- [x] **Report endpoint**: New `/studies/{id}/report` endpoint for STUDY_REPORT.md +- [x] **Chart data fix**: Proper `values` array transformation for single/multi-objective + +### API Endpoint Additions (December 2025) + +4. **GET `/api/optimization/studies/{study_id}/pruning`** (Enhanced) + - Now queries Optuna database directly for PRUNED trials + - Returns params, timing, and pruning cause for each trial + - Fallback to legacy JSON file if database unavailable + +5. **GET `/api/optimization/studies/{study_id}/report`** (NEW) + - Returns STUDY_REPORT.md content as JSON + - Searches in 2_results/, 3_results/, and study root + - Returns 404 if no report found + ## Future Enhancements (P3) - [ ] WebSocket support for instant updates (currently polling) @@ -300,7 +354,6 @@ npm run dev # Runs on port 3001 - [ ] Strategy performance comparison charts - [ ] Historical phase duration analysis - [ ] Mobile-responsive design -- [ ] Dark/light theme toggle ## Troubleshooting