feat: Add Analysis page, run comparison, notifications, and config editor

Dashboard enhancements:
- Add Analysis page with tabs: Overview, Parameters, Pareto, Correlations, Constraints, Surrogate, Runs
- Add PlotlyCorrelationHeatmap for parameter-objective correlation analysis
- Add PlotlyFeasibilityChart for constraint satisfaction visualization
- Add PlotlySurrogateQuality for FEA vs NN prediction comparison
- Add PlotlyRunComparison for comparing optimization runs within a study

Real-time improvements:
- Replace watchdog file-watching with SQLite database polling for better Windows reliability
- Add DatabasePoller class with 2-second polling interval
- Enhanced WebSocket messages: trial_completed, new_best, pareto_update, progress

Desktop notifications:
- Add useNotifications hook using Web Notifications API
- Add NotificationSettings toggle component
- Notify users when new best solutions are found

Config editor:
- Add PUT /studies/{study_id}/config endpoint with auto-backup
- Add ConfigEditor modal with tabs: General, Variables, Objectives, Settings, JSON
- Prevents editing while optimization is running

Enhanced Pareto visualization:
- Add dark mode styling with transparent backgrounds
- Add stats bar showing Pareto, FEA, NN, and infeasible counts
- Add Pareto front connecting line for 2D view
- Add table showing top 10 Pareto-optimal solutions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Antoine
2025-12-05 19:57:20 -05:00
parent 5c660ff270
commit 5fb94fdf01
27 changed files with 5878 additions and 722 deletions

View File

@@ -52,6 +52,22 @@ export interface ProcessStatus {
nn_count?: number;
}
export interface ModelFile {
name: string;
path: string;
extension: string;
size_bytes: number;
size_display: string;
modified: string;
}
export interface ModelFilesResponse {
study_id: string;
model_dir: string;
files: ModelFile[];
count: number;
}
class ApiClient {
async getStudies(): Promise<StudyListResponse> {
const response = await fetch(`${API_BASE}/optimization/studies`);
@@ -193,6 +209,64 @@ class ApiClient {
}
return response.json();
}
// Model files
async getModelFiles(studyId: string): Promise<ModelFilesResponse> {
const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/model-files`);
if (!response.ok) throw new Error('Failed to fetch model files');
return response.json();
}
async openFolder(studyId: string, folderType: 'model' | 'results' | 'setup' = 'model'): Promise<{ success: boolean; message: string; path: string }> {
const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/open-folder?folder_type=${folderType}`, {
method: 'POST',
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.detail || 'Failed to open folder');
}
return response.json();
}
async getBestSolution(studyId: string): Promise<{
study_id: string;
best_trial: {
trial_number: number;
objective: number;
design_variables: Record<string, number>;
user_attrs?: Record<string, any>;
timestamp?: string;
} | null;
first_trial: {
trial_number: number;
objective: number;
design_variables: Record<string, number>;
} | null;
improvements: Record<string, {
initial: number;
final: number;
improvement_pct: number;
absolute_change: number;
}>;
total_trials: number;
}> {
const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/best-solution`);
if (!response.ok) throw new Error('Failed to fetch best solution');
return response.json();
}
async exportData(studyId: string, format: 'csv' | 'json' | 'config'): Promise<{
filename?: string;
content: string;
content_type?: string;
study_id?: string;
total_trials?: number;
trials?: any[];
}> {
const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/export/${format}`);
if (!response.ok) throw new Error(`Failed to export ${format}`);
return response.json();
}
}
export const apiClient = new ApiClient();