POST /api/analyze submits an analysis job and returns job_id instantly.
GET /api/analyze/{job_id} returns progress + result; frontend polls every 2s.
Analysis runs as asyncio.create_task in the background — each HTTP request
completes in milliseconds, well within the 30s GCP Load Balancer limit.
- Add backend/app/services/job_store.py: in-memory AnalysisJob store with
30-min TTL cleanup
- Add backend/app/api/analysis_routes.py: POST + GET /api/analyze endpoints
with full analysis pipeline (hash check, DB persistence, PDF pages, etc.)
- Remove backend/app/websocket/: handlers.py, manager.py, __init__.py
- Update backend/app/main.py: wire analysis_router, store analysis_service
in app.state, drop all WebSocket imports and endpoint
- Update frontend/services/geminiService.ts: replace WS with fetch+poll;
function signatures unchanged so App.tsx / WIPReviewer.tsx need no edits
- Remove VITE_BACKEND_WS_URL from vite.config.ts, deploy.sh, .env.deploy.example
- Update cloudrun.yaml: remove WebSocket-specific session affinity annotation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
27 lines
823 B
TypeScript
Executable file
27 lines
823 B
TypeScript
Executable file
import path from 'path';
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import { defineConfig, loadEnv } from 'vite';
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import react from '@vitejs/plugin-react';
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export default defineConfig(({ mode }) => {
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const env = loadEnv(mode, '.', '');
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return {
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server: {
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port: 3000,
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host: '0.0.0.0',
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},
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plugins: [react()],
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define: {
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// Legacy - keep for backward compatibility during transition
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'process.env.API_KEY': JSON.stringify(env.GEMINI_API_KEY),
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'process.env.GEMINI_API_KEY': JSON.stringify(env.GEMINI_API_KEY),
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// Backend HTTP URL
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'process.env.VITE_BACKEND_URL': JSON.stringify(env.VITE_BACKEND_URL || 'http://localhost:8000'),
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},
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base: env.VITE_BASE_PATH || '/',
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resolve: {
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alias: {
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'@': path.resolve(__dirname, '.'),
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}
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}
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};
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});
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