23 Commits

Author SHA1 Message Date
Anton
ba3105bbe5 chore(frontend): adds favicon 2026-03-16 17:44:04 +03:00
f32a21f87a Merge pull request 'Revert SSE streaming for PDF import, use synchronous flow' (#11) from revert/remove-sse-streaming into main
Reviewed-on: #11
2026-03-14 17:13:00 +00:00
vakabunga
8b57dd987e Revert SSE streaming for PDF import, use synchronous flow
SSE streaming added unnecessary complexity and latency due to
buffering issues across Node.js event loop, Nginx proxy, and
Docker layers. Reverted to a simple synchronous request/response
for PDF conversion. Kept extractLlmErrorMessage for user-friendly
LLM errors, lazy-loaded pdf-parse, and extended Nginx timeout.
2026-03-14 20:12:27 +03:00
ea234ea007 Merge pull request 'fix: yield to event loop after each SSE write to flush socket' (#10) from fix/sse-event-loop-flush into main
Reviewed-on: #10
2026-03-14 17:00:51 +00:00
vakabunga
db4d5e4d00 fix: yield to event loop after each SSE write to flush socket
The for-await loop over OpenAI stream chunks runs synchronously when
data is buffered, causing res.write() calls to queue without flushing.
Add setImmediate yield after each progress event so the event loop
reaches its I/O phase and pushes data to the network immediately.
2026-03-14 19:59:22 +03:00
358fcaeff5 Merge pull request 'fix: disable gzip and pad SSE events to prevent proxy buffering' (#9) from fix/sse-gzip-buffering into main
Reviewed-on: #9
2026-03-14 16:46:07 +00:00
vakabunga
67fed57118 fix: disable gzip and pad SSE events to prevent proxy buffering
Add gzip off to Nginx import location — the global gzip on was
buffering text/event-stream responses. Pad each SSE event to 4 KB
with comment lines to push past any remaining proxy buffer threshold.
2026-03-14 19:45:33 +03:00
45a6f3d374 Merge pull request 'fix: eliminate SSE buffering through Nginx proxy' (#8) from fix/sse-proxy-buffering into main
Reviewed-on: #8
2026-03-14 14:31:16 +00:00
vakabunga
aaf8cacf75 fix: eliminate SSE buffering through Nginx proxy
Add 2 KB padding comment after headers to push past proxy buffer
threshold, enable TCP_NODELAY on the socket, and remove erroneous
chunked_transfer_encoding off from Nginx that caused full response
buffering.
2026-03-14 17:30:52 +03:00
vakabunga
e28d0f46d0 fix: reopen result modal from progress bar, faster progress, handle LLM context error
- Move import modal visibility into ImportContext so the Layout
  progress pill can reopen the result dialog after the modal was closed.
- Raise LLM progress cap from 85% to 98% and drop the intermediate
  -import 88%- SSE event to eliminate the visual stall after LLM finishes.
- Detect LLM context-length errors (n_keep >= n_ctx) and surface a
  clear message instead of generic -Временная ошибка конвертации-.
2026-03-14 17:05:55 +03:00
22be09c101 Merge pull request 'fix: adaptive LLM progress estimation and emit 85% on stream end' (#6) from fix/adaptive-llm-progress into main
Reviewed-on: #6
2026-03-14 13:43:27 +00:00
vakabunga
78c4730196 fix: adaptive LLM progress estimation and emit 85% on stream end
Hardcoded EXPECTED_CHARS (15k) caused progress to stall at ~20-25% for
short statements. Now expected size is derived from input text length.
Also emit an explicit 85% event when the LLM stream finishes, and
throttle SSE events to 300ms to reduce browser overhead.
2026-03-14 16:41:12 +03:00
f2d0c91488 Merge pull request 'feat: stream PDF import progress via SSE with global progress bar' (#5) from feature/pdf-import-sse-streaming into main
Reviewed-on: #5
2026-03-14 13:18:57 +00:00
vakabunga
1d7fbea9ef feat: stream PDF import progress via SSE with global progress bar
Replace the synchronous PDF import with Server-Sent Events streaming
between the backend (LLM) and the browser. The user can now close the
import modal and continue working while the conversion runs — a fixed
progress bar in the Layout shows real-time stage and percentage.
2026-03-14 16:18:31 +03:00
vakabunga
627706228b fix: remove response_format incompatible with LM Studio API 2026-03-14 15:23:33 +03:00
vakabunga
a5f2294440 fix: adds copy of node modules from backend folder 2026-03-14 15:14:04 +03:00
25ddd6b7ed Merge pull request 'fix: lazy-load pdf-parse to prevent startup crash if module is missing' (#4) from fix-lazyload-pdfparse-crash into main
Reviewed-on: #4
2026-03-14 11:18:55 +00:00
vakabunga
3e481d5a55 fix: lazy-load pdf-parse to prevent startup crash if module is missing 2026-03-14 14:18:25 +03:00
cf24d5dc26 Merge pull request 'fix: downgrade pdf-parse to 1.1.1 to eliminate native dependency' (#3) from fix-pdfparse-crash into main
Reviewed-on: #3
2026-03-14 11:03:48 +00:00
vakabunga
723df494ca fix: downgrade pdf-parse to 1.1.1 to eliminate native dependency
pdf-parse@2.4.5 depends on @napi-rs/canvas (native Skia binary compiled
with AVX instructions) which crashes with SIGILL on the Synology NAS CPU.
Version 1.1.1 is pure JavaScript and works on any architecture.
2026-03-14 14:03:14 +03:00
5fa6b921d8 Merge pull request 'fix-pdf-parser-crash' (#2) from fix-pdf-parser-crash into main
Reviewed-on: #2
2026-03-14 10:43:21 +00:00
vakabunga
feb756cfe2 fix(docker): prevent backend crash loop caused by pdf-parse native deps
pdf-parse@2.4.5 pulls in @napi-rs/canvas (native Skia binary) which
crashes on import in Alpine containers. Moved to lazy require() so the
app starts normally and pdf-parse loads only when PDF conversion is
actually requested.
- Lazy-load pdf-parse in pdfToStatement to avoid startup crash
- Add libc6-compat, fontconfig, freetype to Alpine runner stage
- Increase npm fetch timeouts in both Dockerfiles for slow networks
- Add connectionTimeoutMillis to pg Pool for faster failure detection
2026-03-14 13:37:34 +03:00
vakabunga
b598216d24 feat(backend): настраиваемая LLM для конвертации PDF в JSON
- Добавлена переменная LLM_MODEL в конфиг
- Увеличен max_tokens до 32768 для крупных выписок
- Включен response_format: json_object
- Добавлен скрипт test:llm для проверки подключения к LLM-серверу
2026-03-13 23:12:52 +03:00
13 changed files with 140 additions and 235 deletions

View File

@@ -5,6 +5,11 @@ COPY package.json package-lock.json* ./
COPY shared ./shared
COPY backend ./backend
# Увеличенные таймауты для нестабильной сети
RUN npm config set fetch-retry-mintimeout 20000 && \
npm config set fetch-retry-maxtimeout 120000 && \
npm config set fetch-timeout 300000
RUN npm install
FROM node:20-alpine AS build
@@ -25,6 +30,7 @@ ENV NODE_ENV=production
COPY --from=build /app/backend/dist ./dist
COPY --from=build /app/backend/package.json ./package.json
COPY --from=build /app/node_modules ./node_modules
COPY --from=build /app/backend/node_modules/ ./node_modules/
COPY backend/.env .env
EXPOSE 3000

View File

@@ -9,6 +9,11 @@ COPY package.json package-lock.json* tsconfig.json* ./
COPY shared ./shared
COPY frontend ./frontend
# Увеличиваем таймауты и повторы для нестабильной сети
RUN npm config set fetch-retry-mintimeout 20000 && \
npm config set fetch-retry-maxtimeout 120000 && \
npm config set fetch-timeout 300000
# Устанавливаем зависимости из корня
RUN npm install

View File

@@ -18,3 +18,6 @@ LLM_API_KEY=
# Базовый URL API LLM (опционально). По умолчанию https://api.openai.com
# Примеры: Ollama — http://localhost:11434/v1, Azure — https://YOUR_RESOURCE.openai.azure.com/openai/deployments/YOUR_DEPLOYMENT
LLM_API_BASE_URL=
# Имя модели LLM (опционально). Для OpenAI: gpt-4o-mini. Для Ollama: qwen2.5:7b, qwen3:7b
LLM_MODEL=

View File

@@ -8,7 +8,7 @@
"start": "node dist/app.js",
"migrate": "tsx src/db/migrate.ts",
"migrate:prod": "node dist/db/migrate.js",
"migrate:prod": "node dist/db/migrate.js"
"test:llm": "tsx src/scripts/testLlm.ts"
},
"dependencies": {
"@family-budget/shared": "*",
@@ -18,7 +18,7 @@
"express": "^5.2.1",
"multer": "^2.1.1",
"openai": "^6.27.0",
"pdf-parse": "^2.4.5",
"pdf-parse": "1.1.1",
"pg": "^8.19.0",
"uuid": "^13.0.0"
},

View File

@@ -24,4 +24,7 @@ export const config = {
/** Базовый URL API LLM. По умолчанию https://api.openai.com. Для Ollama: http://localhost:11434/v1 */
llmApiBaseUrl: process.env.LLM_API_BASE_URL || undefined,
/** Имя модели LLM. Для OpenAI: gpt-4o-mini. Для Ollama: qwen2.5:7b, qwen3:7b и т.п. */
llmModel: process.env.LLM_MODEL || 'gpt-4o-mini',
};

View File

@@ -7,4 +7,5 @@ export const pool = new Pool({
database: config.db.database,
user: config.db.user,
password: config.db.password,
connectionTimeoutMillis: 5000,
});

View File

@@ -0,0 +1,42 @@
/**
* Тестовый запрос к LLM серверу.
* Запуск: npm run test:llm
*/
import OpenAI from 'openai';
import { config } from '../config';
async function main() {
if (!config.llmApiKey || config.llmApiKey.trim() === '') {
console.error('Ошибка: LLM_API_KEY не задан в .env');
process.exit(1);
}
const openai = new OpenAI({
apiKey: config.llmApiKey,
...(config.llmApiBaseUrl && { baseURL: config.llmApiBaseUrl }),
});
const url = config.llmApiBaseUrl || 'https://api.openai.com/v1';
console.log('LLM сервер:', url);
console.log('Модель:', config.llmModel);
console.log('---');
try {
const completion = await openai.chat.completions.create({
model: config.llmModel,
messages: [{ role: 'user', content: 'Ответь одним словом: какой цвет у неба?' }],
temperature: 0,
max_tokens: 50,
});
const content = completion.choices[0]?.message?.content;
console.log('Ответ:', content || '(пусто)');
console.log('---');
console.log('OK');
} catch (err) {
console.error('Ошибка:', err instanceof Error ? err.message : err);
process.exit(1);
}
}
main();

View File

@@ -1,4 +1,3 @@
import { PDFParse } from 'pdf-parse';
import OpenAI from 'openai';
import { config } from '../config';
import type { StatementFile } from '@family-budget/shared';
@@ -64,6 +63,16 @@ export function isPdfConversionError(r: unknown): r is PdfConversionError {
);
}
// Lazy-loaded so the app starts even if pdf-parse is missing from node_modules.
let _pdfParse: ((buf: Buffer) => Promise<{ text: string }>) | undefined;
function getPdfParse() {
if (!_pdfParse) {
// eslint-disable-next-line @typescript-eslint/no-require-imports
_pdfParse = require('pdf-parse') as (buf: Buffer) => Promise<{ text: string }>;
}
return _pdfParse;
}
export async function convertPdfToStatement(
buffer: Buffer,
): Promise<StatementFile | PdfConversionError> {
@@ -77,10 +86,8 @@ export async function convertPdfToStatement(
let text: string;
try {
const parser = new PDFParse({ data: buffer });
const result = await parser.getText();
const result = await getPdfParse()(buffer);
text = result.text || '';
await parser.destroy();
} catch (err) {
console.error('PDF extraction error:', err);
return {
@@ -101,16 +108,18 @@ export async function convertPdfToStatement(
const openai = new OpenAI({
apiKey: config.llmApiKey,
...(config.llmApiBaseUrl && { baseURL: config.llmApiBaseUrl }),
timeout: 5 * 60 * 1000,
});
try {
const completion = await openai.chat.completions.create({
model: 'gpt-4o-mini',
model: config.llmModel,
messages: [
{ role: 'system', content: PDF2JSON_PROMPT },
{ role: 'user', content: `Текст выписки:\n\n${text}` },
],
temperature: 0,
max_tokens: 32768,
});
const content = completion.choices[0]?.message?.content?.trim();
@@ -150,7 +159,21 @@ export async function convertPdfToStatement(
return {
status: 502,
error: 'BAD_GATEWAY',
message: 'Временная ошибка конвертации',
message: extractLlmErrorMessage(err),
};
}
}
function extractLlmErrorMessage(err: unknown): string {
const raw = String(
(err as Record<string, unknown>)?.message ??
(err as Record<string, Record<string, unknown>>)?.error?.message ?? '',
);
if (/context.length|n_ctx|too.many.tokens|maximum.context/i.test(raw)) {
return 'PDF-файл слишком большой для обработки. Попробуйте файл с меньшим количеством операций или используйте модель с большим контекстным окном.';
}
if (/timeout|timed?\s*out|ETIMEDOUT|ECONNREFUSED/i.test(raw)) {
return 'LLM-сервер не отвечает. Проверьте, что сервер запущен и доступен.';
}
return 'Временная ошибка конвертации';
}

View File

@@ -4,6 +4,7 @@
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="theme-color" content="#0f172a" />
<link rel="icon" href="/favicon.svg" type="image/svg+xml" />
<title>Семейный бюджет</title>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />

View File

@@ -3,6 +3,20 @@ server {
root /usr/share/nginx/html;
index index.html;
# Import endpoint — long timeout for LLM processing
location /api/import {
proxy_pass http://family-budget-backend:3000;
proxy_http_version 1.1;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_cookie_path / /;
proxy_connect_timeout 5s;
proxy_read_timeout 600s;
client_max_body_size 15m;
}
# API — проксируем на backend (сервис из docker-compose)
location /api {
proxy_pass http://family-budget-backend:3000;

View File

@@ -0,0 +1,4 @@
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32" fill="none">
<rect width="32" height="32" rx="8" fill="#0f172a"/>
<text x="16" y="23" font-family="Georgia, serif" font-size="20" font-weight="bold" fill="#3b82f6" text-anchor="middle">&#8381;</text>
</svg>

After

Width:  |  Height:  |  Size: 271 B

View File

@@ -89,7 +89,7 @@ export function ImportModal({ onClose, onDone }: Props) {
{result && (
<div className="import-result">
<div className="import-result-icon">&check;</div>
<div className="import-result-icon" aria-hidden="true"></div>
<h3>Импорт завершён</h3>
<table className="import-stats">
<tbody>

255
package-lock.json generated
View File

@@ -24,7 +24,7 @@
"express": "^5.2.1",
"multer": "^2.1.1",
"openai": "^6.27.0",
"pdf-parse": "^2.4.5",
"pdf-parse": "1.1.1",
"pg": "^8.19.0",
"uuid": "^13.0.0"
},
@@ -40,6 +40,28 @@
"typescript": "^5.9.3"
}
},
"backend/node_modules/debug": {
"version": "3.2.7",
"resolved": "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz",
"integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==",
"license": "MIT",
"dependencies": {
"ms": "^2.1.1"
}
},
"backend/node_modules/pdf-parse": {
"version": "1.1.1",
"resolved": "https://registry.npmjs.org/pdf-parse/-/pdf-parse-1.1.1.tgz",
"integrity": "sha512-v6ZJ/efsBpGrGGknjtq9J/oC8tZWq0KWL5vQrk2GlzLEQPUDB1ex+13Rmidl1neNN358Jn9EHZw5y07FFtaC7A==",
"license": "MIT",
"dependencies": {
"debug": "^3.1.0",
"node-ensure": "^0.0.0"
},
"engines": {
"node": ">=6.8.1"
}
},
"frontend": {
"name": "@family-budget/frontend",
"version": "0.1.0",
@@ -89,7 +111,6 @@
"integrity": "sha512-CGOfOJqWjg2qW/Mb6zNsDm+u5vFQ8DxXfbM09z69p5Z6+mE1ikP2jUXw+j42Pf1XTYED2Rni5f95npYeuwMDQA==",
"dev": true,
"license": "MIT",
"peer": true,
"dependencies": {
"@babel/code-frame": "^7.29.0",
"@babel/generator": "^7.29.0",
@@ -854,190 +875,6 @@
"@jridgewell/sourcemap-codec": "^1.4.14"
}
},
"node_modules/@napi-rs/canvas": {
"version": "0.1.80",
"resolved": "https://registry.npmjs.org/@napi-rs/canvas/-/canvas-0.1.80.tgz",
"integrity": "sha512-DxuT1ClnIPts1kQx8FBmkk4BQDTfI5kIzywAaMjQSXfNnra5UFU9PwurXrl+Je3bJ6BGsp/zmshVVFbCmyI+ww==",
"license": "MIT",
"workspaces": [
"e2e/*"
],
"engines": {
"node": ">= 10"
},
"optionalDependencies": {
"@napi-rs/canvas-android-arm64": "0.1.80",
"@napi-rs/canvas-darwin-arm64": "0.1.80",
"@napi-rs/canvas-darwin-x64": "0.1.80",
"@napi-rs/canvas-linux-arm-gnueabihf": "0.1.80",
"@napi-rs/canvas-linux-arm64-gnu": "0.1.80",
"@napi-rs/canvas-linux-arm64-musl": "0.1.80",
"@napi-rs/canvas-linux-riscv64-gnu": "0.1.80",
"@napi-rs/canvas-linux-x64-gnu": "0.1.80",
"@napi-rs/canvas-linux-x64-musl": "0.1.80",
"@napi-rs/canvas-win32-x64-msvc": "0.1.80"
}
},
"node_modules/@napi-rs/canvas-android-arm64": {
"version": "0.1.80",
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-android-arm64/-/canvas-android-arm64-0.1.80.tgz",
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"cpu": [
"arm64"
],
"license": "MIT",
"optional": true,
"os": [
"android"
],
"engines": {
"node": ">= 10"
}
},
"node_modules/@napi-rs/canvas-darwin-arm64": {
"version": "0.1.80",
"resolved": "https://registry.npmjs.org/@napi-rs/canvas-darwin-arm64/-/canvas-darwin-arm64-0.1.80.tgz",
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