chore(release): 1.8.2

refactor(Dockerfile): Update build process and entry point for TypeScript application
chore(PERFORMANCE_IDEAS): Remove outdated performance optimization ideas document
2026-02-20 22:39:31 +01:00 · 2026-02-20 22:39:11 +01:00 · 2026-02-20 22:30:21 +01:00 · 2026-02-20 22:28:33 +01:00 · 2026-02-20 22:28:01 +01:00
8 changed files with 64 additions and 602 deletions
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,9 +2,19 @@
 All notable changes to this project will be documented in this file. Dates are displayed in UTC.
 #### [1.8.2](https://git.odit.services/lfk/backend/compare/1.8.1...1.8.2)
 - chore(PERFORMANCE_IDEAS): Remove outdated performance optimization ideas document [`a1a2c27`](https://git.odit.services/lfk/backend/commit/a1a2c2747cda8ad4c049d0d3b188e993daa67a01)
 - refactor(Dockerfile): Update build process and entry point for TypeScript application [`3197498`](https://git.odit.services/lfk/backend/commit/3197498ab37221156eef42311e58a4038c3309d1)
 - fix(deps): Add @types/bun dependency to devDependencies [`6caa185`](https://git.odit.services/lfk/backend/commit/6caa1850e3668bbf72912121d2d1923a5e22d6e8)
 - fix(CreateUser): Await password hashing in toEntity method [`80e7e79`](https://git.odit.services/lfk/backend/commit/80e7e7939c1ab35da9ece1cd9e6e1002e4e50d3a)
 #### [1.8.1](https://git.odit.services/lfk/backend/compare/1.8.0...1.8.1)
 > 20 February 2026
 - perf(stats): Cache stats results for 60 seconds [`13e0c81`](https://git.odit.services/lfk/backend/commit/13e0c81957768c1b380914a0b93d3617c60e08a0)
 - chore(release): 1.8.1 [`7aaac65`](https://git.odit.services/lfk/backend/commit/7aaac65af4e2d04653645adcf859ca69449e2332)
 #### [1.8.0](https://git.odit.services/lfk/backend/compare/1.7.2...1.8.0)
--- a/20
+++ b/20
@@ -1,23 +1,23 @@
-# Typescript Build
+# Build stage - install dependencies
 FROM registry.odit.services/hub/oven/bun:1.3.9-alpine AS build
 WORKDIR /app
 COPY package.json bun.lockb* ./
 RUN bun install --frozen-lockfile
-COPY tsconfig.json ormconfig.js bunfig.toml ./
+# Production dependencies only
-COPY src ./src
+RUN rm -rf /app/node_modules \
 RUN bun run build \
    && rm -rf /app/node_modules \
    && bun install --production --frozen-lockfile
-# final image
+# Final image - run TypeScript directly
 FROM registry.odit.services/hub/oven/bun:1.3.9-alpine AS final
 WORKDIR /app
 COPY --from=build /app/package.json /app/package.json
 COPY --from=build /app/bun.lockb* /app/
 COPY --from=build /app/ormconfig.js /app/ormconfig.js
 COPY --from=build /app/bunfig.toml /app/bunfig.toml
 COPY --from=build /app/dist /app/dist
 COPY --from=build /app/node_modules /app/node_modules
-ENTRYPOINT ["bun", "/app/dist/app.js"]
+
 COPY ormconfig.js bunfig.toml tsconfig.json ./
 COPY src ./src
 ENTRYPOINT ["bun", "/app/src/app.ts"]
--- a/PERFORMANCE_IDEAS.md
+++ b/PERFORMANCE_IDEAS.md
@@ -1,589 +0,0 @@
 # Performance Optimization Ideas for LfK Backend
 This document outlines potential performance improvements for the LfK backend API, organized by impact and complexity.
 ---
 ## ✅ Already Implemented
 ### 1. Bun Runtime Migration
 **Status**: Complete  
 **Impact**: 8-15% latency improvement  
 **Details**: Migrated from Node.js to Bun runtime, achieving:
 - Parallel throughput: +8.3% (306 → 331 scans/sec)
 - Parallel p50 latency: -9.5% (21ms → 19ms)
 ### 2. NATS KV Cache for Scan Intake
 **Status**: Complete (based on code analysis)  
 **Impact**: Significant reduction in DB reads for hot path  
 **Details**: `ScanController.stationIntake()` uses NATS JetStream KV store to cache:
 - Station tokens (1-hour TTL)
 - Card→Runner mappings (1-hour TTL)
 - Runner state (no TTL, CAS-based updates)
 - Eliminates DB reads on cache hits
 - Prevents race conditions via compare-and-swap (CAS)
 ---
 ## 🚀 High Impact, Low-Medium Complexity
 ### 3. Add Database Indexes
 **Priority**: HIGH  
 **Complexity**: Low  
 **Estimated Impact**: 30-70% query time reduction
 **Problem**: TypeORM synchronize() doesn't automatically create indexes on foreign keys or commonly queried fields.
 **Observations**:
 - Heavy use of `find()` with complex nested relations (e.g., `['runner', 'track', 'runner.scans', 'runner.group', 'runner.scans.track']`)
 - No explicit `@Index()` decorators found in entity files
 - Frequent filtering by foreign keys (runner_id, track_id, station_id, card_id)
 **Recommended Indexes**:
 ```typescript
 // src/models/entities/Scan.ts
@Index(['runner', 'timestamp'])  // For runner scan history queries
@Index(['station', 'timestamp'])  // For station-based queries
@Index(['card'])                  // For card lookup
 // src/models/entities/Runner.ts
@Index(['email'])                 // For authentication/lookup
@Index(['group'])                 // For group-based queries
 // src/models/entities/RunnerCard.ts
@Index(['runner'])                // For card→runner lookups
@Index(['code'])                  // For barcode scans
 // src/models/entities/Donation.ts
@Index(['runner'])                // For runner donations
@Index(['donor'])                 // For donor contributions
 ```
 **Implementation Steps**:
 1. Audit all entities and add `@Index()` decorators
 2. Test query performance with `EXPLAIN` before/after
 3. Monitor index usage with database tools
 4. Consider composite indexes for frequently combined filters
 **Expected Results**:
 - 50-70% faster JOIN operations
 - 30-50% faster foreign key lookups
 - Reduced database CPU usage
 ---
 ### 4. Implement Query Result Caching
 **Priority**: HIGH  
 **Complexity**: Medium  
 **Estimated Impact**: 50-90% latency reduction for repeated queries
 **Problem**: Stats endpoints and frequently accessed data (org totals, team rankings, runner lists) are recalculated on every request.
 **Observations**:
 - `StatsController` methods load entire datasets with deep relations:
  - `getRunnerStats()`: loads all runners with scans, groups, donations
  - `getTeamStats()`: loads all teams with nested runner data
  - `getOrgStats()`: loads all orgs with teams, runners, scans
 - Many `find()` calls without any caching layer
 - Data changes infrequently (only during scan intake)
 **Solution Options**:
 **Option A: NATS KV Cache (Recommended)**
 ```typescript
 // src/nats/StatsKV.ts
 export async function getOrgStatsCache(): Promise<ResponseOrgStats[] | null> {
    const kv = await NatsClient.getKV('stats_cache', { ttl: 60 * 1000 }); // 60s TTL
    const entry = await kv.get('org_stats');
    return entry ? JSON.parse(entry.string()) : null;
 }
 export async function setOrgStatsCache(stats: ResponseOrgStats[]): Promise<void> {
    const kv = await NatsClient.getKV('stats_cache', { ttl: 60 * 1000 });
    await kv.put('org_stats', JSON.stringify(stats));
 }
 // Invalidate on scan creation
 // src/controllers/ScanController.ts (after line 173)
 await invalidateStatsCache(); // Clear stats on new scan
 ```
 **Option B: In-Memory Cache with TTL**
 ```typescript
 // src/cache/MemoryCache.ts
 import NodeCache from 'node-cache';
 const cache = new NodeCache({ stdTTL: 60 }); // 60s TTL
 export function getCached<T>(key: string): T | undefined {
    return cache.get<T>(key);
 }
 export function setCached<T>(key: string, value: T, ttl?: number): void {
    cache.set(key, value, ttl);
 }
 export function invalidatePattern(pattern: string): void {
    const keys = cache.keys().filter(k => k.includes(pattern));
    cache.del(keys);
 }
 ```
 **Option C: Redis Cache** (if Redis is already in stack)
 **Recommended Cache Strategy**:
 - **TTL**: 30-60 seconds for stats endpoints
 - **Invalidation**: On scan creation, runner updates, donation changes
 - **Keys**: `stats:org`, `stats:team:${id}`, `stats:runner:${id}`
 - **Warm on startup**: Pre-populate cache for critical endpoints
 **Expected Results**:
 - 80-90% latency reduction for stats endpoints (from ~500ms to ~50ms)
 - 70-80% reduction in database load
 - Improved user experience for dashboards and leaderboards
 ---
 ### 5. Lazy Load Relations & DTOs
 **Priority**: HIGH  
 **Complexity**: Medium  
 **Estimated Impact**: 40-60% query time reduction
 **Problem**: Many queries eagerly load deeply nested relations that aren't always needed.
 **Observations**:
 ```typescript
 // Current: Loads everything
 scan = await this.scanRepository.findOne(
    { id: scan.id }, 
    { relations: ['runner', 'track', 'runner.scans', 'runner.group', 
                  'runner.scans.track', 'card', 'station'] }
 );
 ```
 **Solutions**:
 **A. Create Lightweight Response DTOs**
 ```typescript
 // src/models/responses/ResponseScanLight.ts
 export class ResponseScanLight {
    @IsInt() id: number;
    @IsInt() distance: number;
    @IsInt() timestamp: number;
    @IsBoolean() valid: boolean;
    // Omit nested runner.scans, runner.group, etc.
 }
 // Use for list views
@Get()
@ResponseSchema(ResponseScanLight, { isArray: true })
 async getAll() {
    const scans = await this.scanRepository.find({ 
        relations: ['runner', 'track'] // Minimal relations
    });
    return scans.map(s => new ResponseScanLight(s));
 }
 // Keep detailed DTO for single-item views
@Get('/:id')
@ResponseSchema(ResponseScan) // Full details
 async getOne(@Param('id') id: number) { ... }
 ```
 **B. Use Query Builder for Selective Loading**
 ```typescript
 // Instead of loading all scans with runner relations:
 const scans = await this.scanRepository
    .createQueryBuilder('scan')
    .leftJoinAndSelect('scan.runner', 'runner')
    .leftJoinAndSelect('scan.track', 'track')
    .select([
        'scan.id', 'scan.distance', 'scan.timestamp', 'scan.valid',
        'runner.id', 'runner.firstname', 'runner.lastname',
        'track.id', 'track.name'
    ])
    .where('scan.id = :id', { id })
    .getOne();
 ```
 **C. Implement GraphQL-style Field Selection**
 ```typescript
@Get()
 async getAll(@QueryParam('fields') fields?: string) {
    const relations = [];
    if (fields?.includes('runner')) relations.push('runner');
    if (fields?.includes('track')) relations.push('track');
    return this.scanRepository.find({ relations });
 }
 ```
 **Expected Results**:
 - 40-60% faster list queries
 - 50-70% reduction in data transfer size
 - Reduced JOIN complexity and memory usage
 ---
 ### 6. Pagination Optimization
 **Priority**: MEDIUM  
 **Complexity**: Low  
 **Estimated Impact**: 20-40% improvement for large result sets
 **Problem**: Current pagination uses `skip/take` which becomes slow with large offsets.
 **Current Implementation**:
 ```typescript
 // Inefficient for large page numbers (e.g., page=1000)
 scans = await this.scanRepository.find({ 
    skip: page * page_size,  // Scans 100,000 rows to skip them
    take: page_size 
 });
 ```
 **Solutions**:
 **A. Cursor-Based Pagination (Recommended)**
 ```typescript
@Get()
 async getAll(
    @QueryParam('cursor') cursor?: number,  // Last ID from previous page
    @QueryParam('page_size') page_size: number = 100
 ) {
    const query = this.scanRepository.createQueryBuilder('scan')
        .orderBy('scan.id', 'ASC')
        .take(page_size + 1); // Get 1 extra to determine if more pages exist
    if (cursor) {
        query.where('scan.id > :cursor', { cursor });
    }
    const scans = await query.getMany();
    const hasMore = scans.length > page_size;
    const results = scans.slice(0, page_size);
    const nextCursor = hasMore ? results[results.length - 1].id : null;
    return {
        data: results.map(s => s.toResponse()),
        pagination: { nextCursor, hasMore }
    };
 }
 ```
 **B. Add Total Count Caching**
 ```typescript
 // Cache total counts to avoid expensive COUNT(*) queries
 const totalCache = new Map<string, { count: number, expires: number }>();
 async function getTotalCount(repo: Repository<any>): Promise<number> {
    const cacheKey = repo.metadata.tableName;
    const cached = totalCache.get(cacheKey);
    if (cached && cached.expires > Date.now()) {
        return cached.count;
    }
    const count = await repo.count();
    totalCache.set(cacheKey, { count, expires: Date.now() + 60000 }); // 60s TTL
    return count;
 }
 ```
 **Expected Results**:
 - 60-80% faster pagination for large page numbers
 - Consistent query performance regardless of offset
 - Better mobile app experience with cursor-based loading
 ---
 ## 🔧 Medium Impact, Medium Complexity
 ### 7. Database Connection Pooling Optimization
 **Priority**: MEDIUM  
 **Complexity**: Medium  
 **Estimated Impact**: 10-20% improvement under load
 **Current**: Default TypeORM connection pooling (likely 10 connections)
 **Recommendations**:
 ```typescript
 // ormconfig.js
 module.exports = {
    // ... existing config
    extra: {
        // PostgreSQL specific
        max: 20,                    // Max pool size (adjust based on load)
        min: 5,                     // Min pool size
        idleTimeoutMillis: 30000,   // Close idle connections after 30s
        connectionTimeoutMillis: 2000,
        // MySQL specific
        connectionLimit: 20,
        waitForConnections: true,
        queueLimit: 0
    },
    // Enable query logging in dev to identify slow queries
    logging: process.env.NODE_ENV !== 'production' ? ['query', 'error'] : ['error'],
    maxQueryExecutionTime: 1000, // Log queries taking >1s
 };
 ```
 **Monitor**:
 - Connection pool exhaustion
 - Query execution times
 - Active connection count
 ---
 ### 8. Bulk Operations for Import
 **Priority**: MEDIUM  
 **Complexity**: Medium  
 **Estimated Impact**: 50-80% faster imports
 **Problem**: Import endpoints likely save entities one-by-one in loops.
 **Solution**:
 ```typescript
 // Instead of:
 for (const runnerData of importData) {
    const runner = await createRunner.toEntity();
    await this.runnerRepository.save(runner); // N queries
 }
 // Use bulk insert:
 const runners = await Promise.all(
    importData.map(data => createRunner.toEntity())
 );
 await this.runnerRepository.save(runners); // 1 query
 // Or use raw query for massive imports:
 await getConnection()
    .createQueryBuilder()
    .insert()
    .into(Runner)
    .values(runners)
    .execute();
 ```
 ---
 ### 9. Response Compression
 **Priority**: MEDIUM  
 **Complexity**: Low  
 **Estimated Impact**: 60-80% reduction in response size
 **Implementation**:
 ```typescript
 // src/app.ts
 import compression from 'compression';
 const app = createExpressServer({ ... });
 app.use(compression({
    level: 6,           // Compression level (1-9)
    threshold: 1024,    // Only compress responses >1KB
    filter: (req, res) => {
        if (req.headers['x-no-compression']) return false;
        return compression.filter(req, res);
    }
 }));
 ```
 **Benefits**:
 - 70-80% smaller JSON responses
 - Faster transfer times on slow networks
 - Reduced bandwidth costs
 **Dependencies**: `bun add compression @types/compression`
 ---
 ## 🎯 Lower Priority / High Complexity
 ### 10. Implement Read Replicas
 **Priority**: LOW (requires infrastructure)  
 **Complexity**: High  
 **Estimated Impact**: 30-50% read query improvement
 **When to Consider**:
 - Database CPU consistently >70%
 - Read-heavy workload (already true for stats endpoints)
 - Running PostgreSQL/MySQL in production
 **Implementation**:
 ```typescript
 // ormconfig.js
 module.exports = {
    type: 'postgres',
    replication: {
        master: {
            host: process.env.DB_WRITE_HOST,
            port: 5432,
            username: process.env.DB_USER,
            password: process.env.DB_PASSWORD,
            database: process.env.DB_NAME,
        },
        slaves: [
            {
                host: process.env.DB_READ_REPLICA_1,
                port: 5432,
                username: process.env.DB_USER,
                password: process.env.DB_PASSWORD,
                database: process.env.DB_NAME,
            }
        ]
    }
 };
 ```
 ---
 ### 11. Move to Serverless/Edge Functions
 **Priority**: LOW (architectural change)  
 **Complexity**: Very High  
 **Estimated Impact**: Variable (depends on workload)
 **Considerations**:
 - Good for: Infrequent workloads, global distribution
 - Bad for: High-frequency scan intake (cold starts)
 - May conflict with TypeORM's connection model
 ---
 ### 12. GraphQL API Layer
 **Priority**: LOW (major refactor)  
 **Complexity**: Very High  
 **Estimated Impact**: 30-50% for complex queries
 **Benefits**:
 - Clients request only needed fields
 - Single request for complex nested data
 - Better mobile app performance
 **Trade-offs**:
 - Complete rewrite of controller layer
 - Learning curve for frontend teams
 - More complex caching strategy
 ---
 ## 📊 Recommended Implementation Order
 **Phase 1: Quick Wins** (1-2 weeks)
 1. Add database indexes → Controllers still work, immediate improvement
 2. Enable response compression → One-line change in `app.ts`
 3. Implement cursor-based pagination → Better mobile UX
 **Phase 2: Caching Layer** (2-3 weeks)
 4. Add NATS KV cache for stats endpoints
 5. Create lightweight response DTOs for list views
 6. Cache total counts for pagination
 **Phase 3: Query Optimization** (2-3 weeks)
 7. Refactor controllers to use query builder with selective loading
 8. Optimize database connection pooling
 9. Implement bulk operations for imports
 **Phase 4: Infrastructure** (ongoing)
 10. Monitor query performance and add more indexes as needed
 11. Consider read replicas when database becomes bottleneck
 ---
 ## 🔍 Performance Monitoring Recommendations
 ### Add Metrics Endpoint
 ```typescript
 // src/controllers/MetricsController.ts
 import { performance } from 'perf_hooks';
 const requestMetrics = {
    totalRequests: 0,
    avgLatency: 0,
    p95Latency: 0,
    dbQueryCount: 0,
    cacheHitRate: 0,
 };
@JsonController('/metrics')
 export class MetricsController {
    @Get()
    @Authorized('ADMIN') // Restrict to admins
    async getMetrics() {
        return requestMetrics;
    }
 }
 ```
 ### Enable Query Logging
 ```typescript
 // ormconfig.js
 logging: ['query', 'error'],
 maxQueryExecutionTime: 1000, // Warn on queries >1s
 ```
 ### Add Request Timing Middleware
 ```typescript
 // src/middlewares/TimingMiddleware.ts
 export function timingMiddleware(req: Request, res: Response, next: NextFunction) {
    const start = performance.now();
    res.on('finish', () => {
        const duration = performance.now() - start;
        if (duration > 1000) {
            consola.warn(`Slow request: ${req.method} ${req.path} took ${duration}ms`);
        }
    });
    next();
 }
 ```
 ---
 ## 📝 Performance Testing Commands
 ```bash
 # Run baseline benchmark
 bun run benchmark > baseline.txt
 # After implementing changes, compare
 bun run benchmark > optimized.txt
 diff baseline.txt optimized.txt
 # Load testing with artillery (if added)
 artillery quick --count 100 --num 10 http://localhost:4010/api/runners
 # Database query profiling (PostgreSQL)
 EXPLAIN ANALYZE SELECT * FROM scan WHERE runner_id = 1;
 # Check database indexes
 SELECT * FROM pg_indexes WHERE tablename = 'scan';
 # Monitor NATS cache hit rate
 # (Add custom logging in NATS KV functions)
 ```
 ---
 ## 🎓 Key Principles
 1. **Measure first**: Always benchmark before and after changes
 2. **Start with indexes**: Biggest impact, lowest risk
 3. **Cache strategically**: Stats endpoints benefit most
 4. **Lazy load by default**: Only eager load when absolutely needed
 5. **Monitor in production**: Use APM tools (New Relic, DataDog, etc.)
 ---
 ## 📚 Additional Resources
 - [TypeORM Performance Tips](https://typeorm.io/performance)
 - [PostgreSQL Index Best Practices](https://www.postgresql.org/docs/current/indexes.html)
 - [Bun Performance Benchmarks](https://bun.sh/docs/runtime/performance)
 - [NATS JetStream KV Guide](https://docs.nats.io/nats-concepts/jetstream/key-value-store)
 ---
 **Last Updated**: 2026-02-20  
 **Status**: Ready for review and prioritization
--- a/bun.lock
+++ b/bun.lock
@@ -34,6 +34,7 @@
      "devDependencies": {
        "@faker-js/faker": "7.6.0",
        "@odit/license-exporter": "0.0.9",
        "@types/bun": "^1.3.9",
        "@types/cors": "2.8.19",
        "@types/csvtojson": "1.1.5",
        "@types/express": "5.0.6",
@@ -251,6 +252,8 @@
    "@types/body-parser": ["@types/body-parser@1.19.0", "https://registry.yarnpkg.com/@types/body-parser/-/body-parser-1.19.0.tgz", { "dependencies": { "@types/connect": "*", "@types/node": "*" } }, "sha512-W98JrE0j2K78swW4ukqMleo8R7h/pFETjM2DQ90MF6XK2i4LO4W3gQ71Lt4w3bfm2EvVSyWHplECvB5sK22yFQ=="],
    "@types/bun": ["@types/bun@1.3.9", "", { "dependencies": { "bun-types": "1.3.9" } }, "sha512-KQ571yULOdWJiMH+RIWIOZ7B2RXQGpL1YQrBtLIV3FqDcCu6FsbFUBwhdKUlCKUpS3PJDsHlJ1QKlpxoVR+xtw=="],
    "@types/cacheable-request": ["@types/cacheable-request@6.0.1", "", { "dependencies": { "@types/http-cache-semantics": "*", "@types/keyv": "*", "@types/node": "*", "@types/responselike": "*" } }, "sha512-ykFq2zmBGOCbpIXtoVbz4SKY5QriWPh3AjyU4G74RYbtt5yOc5OfaY75ftjg7mikMOla1CTGpX3lLbuJh8DTrQ=="],
    "@types/connect": ["@types/connect@3.4.34", "https://registry.yarnpkg.com/@types/connect/-/connect-3.4.34.tgz", { "dependencies": { "@types/node": "*" } }, "sha512-ePPA/JuI+X0vb+gSWlPKOY0NdNAie/rPUqX2GUPpbZwiKTkSPhjXWuee47E4MtE54QVzGCQMQkAL6JhV2E1+cQ=="],
@@ -435,6 +438,8 @@
    "buffer-writer": ["buffer-writer@2.0.0", "https://registry.yarnpkg.com/buffer-writer/-/buffer-writer-2.0.0.tgz", {}, "sha512-a7ZpuTZU1TRtnwyCNW3I5dc0wWNC3VR9S++Ewyk2HHZdrO3CQJqSpd+95Us590V6AL7JqUAH2IwZ/398PmNFgw=="],
    "bun-types": ["bun-types@1.3.9", "", { "dependencies": { "@types/node": "*" } }, "sha512-+UBWWOakIP4Tswh0Bt0QD0alpTY8cb5hvgiYeWCMet9YukHbzuruIEeXC2D7nMJPB12kbh8C7XJykSexEqGKJg=="],
    "busboy": ["busboy@0.2.14", "https://registry.yarnpkg.com/busboy/-/busboy-0.2.14.tgz", { "dependencies": { "dicer": "0.2.5", "readable-stream": "1.1.x" } }, "sha1-bCpiLvz0fFe7vh4qnDetNseSVFM="],
    "bytes": ["bytes@3.1.0", "https://registry.yarnpkg.com/bytes/-/bytes-3.1.0.tgz", {}, "sha512-zauLjrfCG+xvoyaqLoV8bLVXXNGC4JqlxFCutSDWA6fJrTo2ZuvLYTqZ7aHBLZSMOopbzwv8f+wZcVzfVTI2Dg=="],
--- a/bunfig.toml
+++ b/bunfig.toml
@@ -4,3 +4,10 @@
 [runtime]
 # Enable Node.js compatibility mode
 bun = true
 # TypeScript transpiler settings
 # Required for TypeORM decorators
 [transpiler]
 tsconfig = "tsconfig.json"
 emitDecoratorMetadata = true
 experimentalDecorators = true
--- a/licenses.md
+++ b/licenses.md
@@ -942,6 +942,35 @@ WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF
 OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
 # @types/bun
 **Author**: undefined
 **Repo**: [object Object]
 **License**: MIT
 **Description**: TypeScript definitions for bun
 ## License Text
    MIT License
    Copyright (c) Microsoft Corporation.
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE
 # @types/cors
 **Author**: undefined
 **Repo**: [object Object]
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@odit/lfk-backend",
-  "version": "1.8.1",
+  "version": "1.8.2",
  "main": "src/app.ts",
  "repository": "https://git.odit.services/lfk/backend",
  "author": {
@@ -51,6 +51,7 @@
  "devDependencies": {
    "@faker-js/faker": "7.6.0",
    "@odit/license-exporter": "0.0.9",
    "@types/bun": "^1.3.9",
    "@types/cors": "2.8.19",
    "@types/csvtojson": "1.1.5",
    "@types/express": "5.0.6",
@@ -70,7 +71,6 @@
  "scripts": {
    "dev": "bun --watch src/app.ts",
    "start": "bun src/app.ts",
    "build": "rimraf ./dist && tsc && cp-cli ./src/static ./dist/static",
    "docs": "typedoc --out docs src",
    "test": "jest",
    "test:watch": "jest --watchAll",
--- a/src/models/actions/create/CreateUser.ts
+++ b/src/models/actions/create/CreateUser.ts
@@ -109,7 +109,7 @@ export class CreateUser {
        newUser.lastname = this.lastname
        newUser.uuid = crypto.randomUUID()
        newUser.phone = this.phone
-        newUser.password = Bun.password.hash(this.password + newUser.uuid);
+        newUser.password = await Bun.password.hash(this.password + newUser.uuid);
        newUser.groups = await this.getGroups();
        newUser.enabled = this.enabled;
Author	SHA1	Message	Date
Nicolai Ort	1d9c451dfb	chore(release): 1.8.2 All checks were successful Build release images / build-container (push) Successful in 1m28s Details	2026-02-20 22:39:31 +01:00
Nicolai Ort	3197498ab3	refactor(Dockerfile): Update build process and entry point for TypeScript application	2026-02-20 22:39:11 +01:00
Nicolai Ort	a1a2c2747c	chore(PERFORMANCE_IDEAS): Remove outdated performance optimization ideas document	2026-02-20 22:30:21 +01:00
Nicolai Ort	80e7e7939c	fix(CreateUser): Await password hashing in toEntity method	2026-02-20 22:28:33 +01:00
Nicolai Ort	6caa1850e3	fix(deps): Add @types/bun dependency to devDependencies	2026-02-20 22:28:01 +01:00