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",
@@ -1584,9 +1597,26 @@
"version": "1.0.8",
"resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.8.tgz",
"integrity": "sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w==",
- "dev": true,
"license": "MIT"
},
+ "node_modules/@types/estree-jsx": {
+ "version": "1.0.5",
+ "resolved": "https://registry.npmjs.org/@types/estree-jsx/-/estree-jsx-1.0.5.tgz",
+ "integrity": "sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/estree": "*"
+ }
+ },
+ "node_modules/@types/hast": {
+ "version": "3.0.4",
+ "resolved": "https://registry.npmjs.org/@types/hast/-/hast-3.0.4.tgz",
+ "integrity": "sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/unist": "*"
+ }
+ },
"node_modules/@types/json-schema": {
"version": "7.0.15",
"resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz",
@@ -1594,6 +1624,27 @@
"dev": true,
"license": "MIT"
},
+ "node_modules/@types/katex": {
+ "version": "0.16.7",
+ "resolved": "https://registry.npmjs.org/@types/katex/-/katex-0.16.7.tgz",
+ "integrity": "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ==",
+ "license": "MIT"
+ },
+ "node_modules/@types/mdast": {
+ "version": "4.0.4",
+ "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz",
+ "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/unist": "*"
+ }
+ },
+ "node_modules/@types/ms": {
+ "version": "2.1.0",
+ "resolved": "https://registry.npmjs.org/@types/ms/-/ms-2.1.0.tgz",
+ "integrity": "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==",
+ "license": "MIT"
+ },
"node_modules/@types/offscreencanvas": {
"version": "2019.7.3",
"resolved": "https://registry.npmjs.org/@types/offscreencanvas/-/offscreencanvas-2019.7.3.tgz",
@@ -1665,6 +1716,12 @@
"meshoptimizer": "~0.22.0"
}
},
+ "node_modules/@types/unist": {
+ "version": "3.0.3",
+ "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz",
+ "integrity": "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==",
+ "license": "MIT"
+ },
"node_modules/@types/webxr": {
"version": "0.5.24",
"resolved": "https://registry.npmjs.org/@types/webxr/-/webxr-0.5.24.tgz",
@@ -1873,7 +1930,6 @@
"version": "1.3.0",
"resolved": "https://registry.npmjs.org/@ungap/structured-clone/-/structured-clone-1.3.0.tgz",
"integrity": "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g==",
- "dev": true,
"license": "ISC"
},
"node_modules/@use-gesture/core": {
@@ -2070,6 +2126,16 @@
"postcss": "^8.1.0"
}
},
+ "node_modules/bail": {
+ "version": "2.0.2",
+ "resolved": "https://registry.npmjs.org/bail/-/bail-2.0.2.tgz",
+ "integrity": "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
"node_modules/balanced-match": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
@@ -2264,6 +2330,16 @@
],
"license": "CC-BY-4.0"
},
+ "node_modules/ccount": {
+ "version": "2.0.1",
+ "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
+ "integrity": "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
"node_modules/chalk": {
"version": "4.1.2",
"resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
@@ -2281,6 +2357,46 @@
"url": "https://github.com/chalk/chalk?sponsor=1"
}
},
+ "node_modules/character-entities": {
+ "version": "2.0.2",
+ "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz",
+ "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
+ "node_modules/character-entities-html4": {
+ "version": "2.1.0",
+ "resolved": "https://registry.npmjs.org/character-entities-html4/-/character-entities-html4-2.1.0.tgz",
+ "integrity": "sha512-1v7fgQRj6hnSwFpq1Eu0ynr/CDEw0rXo2B61qXrLNdHZmPKgb7fqS1a2JwF0rISo9q77jDI8VMEHoApn8qDoZA==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
+ "node_modules/character-entities-legacy": {
+ "version": "3.0.0",
+ "resolved": "https://registry.npmjs.org/character-entities-legacy/-/character-entities-legacy-3.0.0.tgz",
+ "integrity": "sha512-RpPp0asT/6ufRm//AJVwpViZbGM/MkjQFxJccQRHmISF/22NBtsHqAWmL+/pmkPWoIUJdWyeVleTl1wydHATVQ==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
+ "node_modules/character-reference-invalid": {
+ "version": "2.0.1",
+ "resolved": "https://registry.npmjs.org/character-reference-invalid/-/character-reference-invalid-2.0.1.tgz",
+ "integrity": "sha512-iBZ4F4wRbyORVsu0jPV7gXkOsGYjGHPmAyv+HiHG8gi5PtC9KI2j1+v8/tlibRvjoWX027ypmG/n0HtO5t7unw==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
"node_modules/chokidar": {
"version": "3.6.0",
"resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz",
@@ -2348,6 +2464,16 @@
"dev": true,
"license": "MIT"
},
+ "node_modules/comma-separated-tokens": {
+ "version": "2.0.3",
+ "resolved": "https://registry.npmjs.org/comma-separated-tokens/-/comma-separated-tokens-2.0.3.tgz",
+ "integrity": "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
"node_modules/commander": {
"version": "4.1.1",
"resolved": "https://registry.npmjs.org/commander/-/commander-4.1.1.tgz",
@@ -2548,7 +2674,6 @@
"version": "4.4.3",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.4.3.tgz",
"integrity": "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA==",
- "dev": true,
"license": "MIT",
"dependencies": {
"ms": "^2.1.3"
@@ -2568,6 +2693,19 @@
"integrity": "sha512-qIMFpTMZmny+MMIitAB6D7iVPEorVw6YQRWkvarTkT4tBeSLLiHzcwj6q0MmYSFCiVpiqPJTJEYIrpcPzVEIvg==",
"license": "MIT"
},
+ "node_modules/decode-named-character-reference": {
+ "version": "1.2.0",
+ "resolved": "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.2.0.tgz",
+ "integrity": "sha512-c6fcElNV6ShtZXmsgNgFFV5tVX2PaV4g+MOAkb8eXHvn6sryJBrZa9r0zV6+dtTyoCKxtDy5tyQ5ZwQuidtd+Q==",
+ "license": "MIT",
+ "dependencies": {
+ "character-entities": "^2.0.0"
+ },
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
"node_modules/deep-is": {
"version": "0.1.4",
"resolved": "https://registry.npmjs.org/deep-is/-/deep-is-0.1.4.tgz",
@@ -2575,6 +2713,15 @@
"dev": true,
"license": "MIT"
},
+ "node_modules/dequal": {
+ "version": "2.0.3",
+ "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz",
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+ "license": "MIT",
+ "dependencies": {
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+ "mdast-util-from-markdown": "^2.0.0",
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+ "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"
+ }
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+ "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"
+ }
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+ "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"
+ }
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+ "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": {
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+ },
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+ "url": "https://opencollective.com/unified"
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+ "node_modules/unist-util-remove-position": {
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+ "resolved": "https://registry.npmjs.org/unist-util-remove-position/-/unist-util-remove-position-5.0.0.tgz",
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+ "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"
+ },
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+ "url": "https://opencollective.com/unified"
+ }
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+ "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}`}
+ />
+
+
+
+
+ {/* 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}) => (
+
+ ),
+ 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}) => (
+
+ ),
+ thead: ({children}) => (
+
+ {children}
+
+ ),
+ th: ({children}) => (
+
+ {children}
+ |
+ ),
+ td: ({children}) => (
+
+ {children}
+ |
+ ),
+ tr: ({children}) => (
+
+ {children}
+
+ ),
+ // Horizontal rule
+ hr: () => (
+
+ ),
+ // Images
+ img: ({src, 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