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https://github.com/donpat1to/Schichtenplaner.git
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using cp for plans
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105
backend/src/workers/cp-sat-wrapper.ts
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105
backend/src/workers/cp-sat-wrapper.ts
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// backend/src/workers/cp-sat-wrapper.ts
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import { execSync } from 'child_process';
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import { randomBytes } from 'crypto';
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import * as fs from 'fs';
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import * as path from 'path';
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import { fileURLToPath } from 'url';
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import { SolverOptions, Solution, Assignment, Violation } from '../models/scheduling.js';
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = path.dirname(__filename);
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export class CPModel {
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private modelData: any;
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constructor() {
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this.modelData = {
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variables: {},
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constraints: [],
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objective: null
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};
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}
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addVariable(name: string, type: 'bool' | 'int', min?: number, max?: number): void {
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this.modelData.variables[name] = { type, min, max };
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}
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addConstraint(expression: string, description?: string): void {
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this.modelData.constraints.push({
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expression,
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description
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});
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}
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maximize(expression: string): void {
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this.modelData.objective = {
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type: 'maximize',
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expression
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};
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}
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minimize(expression: string): void {
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this.modelData.objective = {
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type: 'minimize',
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expression
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};
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}
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export(): any {
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return this.modelData;
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}
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}
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export class CPSolver {
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constructor(private options: SolverOptions) {}
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async solve(model: CPModel): Promise<Solution> {
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try {
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return await this.solveViaPythonBridge(model);
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} catch (error) {
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console.error('CP-SAT bridge failed, falling back to TypeScript solver:', error);
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return await this.solveWithTypeScript(model);
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}
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}
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private async solveViaPythonBridge(model: CPModel): Promise<Solution> {
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const pythonScriptPath = path.resolve(__dirname, '../../python-scripts/scheduling_solver.py');
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const modelData = model.export();
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const result = execSync(`python3 "${pythonScriptPath}"`, {
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input: JSON.stringify(modelData),
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timeout: this.options.maxTimeInSeconds * 1000,
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encoding: 'utf-8',
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maxBuffer: 50 * 1024 * 1024 // 50MB buffer für große Probleme
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});
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return JSON.parse(result);
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}
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private async solveWithTypeScript(model: CPModel): Promise<Solution> {
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// Einfacher TypeScript CSP Solver als Fallback
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return this.basicBacktrackingSolver(model);
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}
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private async basicBacktrackingSolver(model: CPModel): Promise<Solution> {
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// Einfache Backtracking-Implementierung
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// Für kleine Probleme geeignet
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const startTime = Date.now();
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// Hier einfache CSP-Logik implementieren
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const assignments: Assignment[] = [];
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const violations: Violation[] = [];
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return {
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assignments,
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violations,
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success: violations.length === 0,
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metadata: {
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solveTime: Date.now() - startTime,
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constraintsAdded: model.export().constraints.length,
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variablesCreated: Object.keys(model.export().variables).length,
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optimal: true
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}
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};
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}
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}
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