evaluate with ai car dirtiness by image
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6794b01ac8
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@ -1,91 +0,0 @@
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const API_URL = "https://gigachat.devices.sberbank.ru/api/v1"
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const router = require('express').Router()
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const { v4: uuidv4 } = require("uuid");
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process.env.NODE_TLS_REJECT_UNAUTHORIZED = "0"
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const token = 'MTQwMmNmZjgtZjA5OC00OGMxLWI0OTUtNWU3ZTU4YzMzZjdjOmU5OGFiYmNiLThmMDItNGVmOC1hNjhhLTA4Y2QxYjVmOGRmMA=='
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const getToken = async (req, res) => {
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const rqUID = uuidv4()
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const body = new URLSearchParams({
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scope: "GIGACHAT_API_PERS",
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})
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const response = await fetch("https://ngw.devices.sberbank.ru:9443/api/v2/oauth", {
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method: "POST",
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headers: {
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Authorization: `Basic ${token}`,
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"Content-Type": "application/x-www-form-urlencoded",
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Accept: "application/json",
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RqUID: rqUID,
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},
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body,
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})
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if (!response.ok) {
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const errorData = await response.json();
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console.error(" Ошибка запроса:", errorData);
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return res.status(response.status).json(errorData);
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}
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return await response.json()
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}
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async function analyzeImage(fileId,token) {
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const response = await fetch(`${API_URL}/chat/completions`, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Accept: "application/json",
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Authorization: `Bearer ${token}`,
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},
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body: JSON.stringify({
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model: "GigaChat-Max",
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stream: false,
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update_interval: 0,
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messages: [
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{
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role: "system",
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content:
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"Ты эксперт по оценке чистоты автомобилей. Твоя задача — анализировать фотографии машин и определять степень их чистоты по 10-балльной шкале, где 1 — очень грязная, 10 — полностью чистая. Отвечай только числом от 1 до 10, без пояснений и дополнительных слов.",
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},
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{
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role: "user",
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content: "Что с чистотой машины? Отвечай на основе приложенного документа",
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attachments: [fileId],
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},
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],
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}),
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});
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const data = await response.json()
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console.log(" Результат анализа:", data)
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return data
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}
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router.post("/upload", async (req, res) => {
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const {access_token} = await getToken(req, res)
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const response = await fetch(`${API_URL}/files`, {
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method: "POST",
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headers: {
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Authorization: `Bearer ${access_token}`,
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contentType: "multipart/form-data",
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},
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body: req.body,
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})
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const data = await response.json()
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const analysisResponse = await analyzeImage(data.id,access_token)
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res.json({ fileId: data.id, analysis: analysisResponse })
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})
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module.exports = router
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@ -2,13 +2,11 @@ const router = require('express').Router()
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const armMasterRouter = require('./arm-master')
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const armOrdersRouter = require('./arm-orders')
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const orderRouter = require('./order')
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const imageRouter = require('./image')
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router.use('/arm', armMasterRouter)
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router.use('/arm', armOrdersRouter)
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router.use('/order', orderRouter)
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router.use('/image', imageRouter)
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module.exports = router
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@ -1,7 +1,9 @@
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const { Schema, model } = require('mongoose')
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const schema = new Schema({
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file: String,
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image: String,
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imageRating: String,
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imageDescription: String,
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orderId: {
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type: Schema.Types.ObjectId,
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ref: 'dry-wash-order'
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@ -273,6 +273,94 @@ const upload = multer({
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}
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})
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const { v4: uuidv4 } = require("uuid")
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const axios = require('axios')
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const GIGA_CHAT_ACCESS_TOKEN = 'OGJmMDQ4MzAtNDIwNS00NzRmLTkwOTQtNTdmNGNlYzkxZjc0OjFiZDQ0MDM4LTkyYTktNDdiNy04N2M5LWIzNjAwNjBjZTVjNQ=='
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const GIGA_CHAT_OAUTH = 'https://ngw.devices.sberbank.ru:9443/api/v2/oauth'
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const GIGA_CHAT_API = 'https://gigachat.devices.sberbank.ru/api/v1'
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const getToken = async (req, res) => {
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const rqUID = uuidv4()
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const body = new URLSearchParams({
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scope: "GIGACHAT_API_PERS",
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})
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const response = await fetch(GIGA_CHAT_OAUTH, {
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method: "POST",
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headers: {
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Authorization: `Basic ${GIGA_CHAT_ACCESS_TOKEN}`,
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"Content-Type": "application/x-www-form-urlencoded",
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Accept: "application/json",
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RqUID: rqUID,
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},
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body,
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})
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if (!response.ok) {
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const errorData = await response.json()
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console.error("Ошибка запроса: ", errorData)
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return res.status(response.status).json(errorData)
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}
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return await response.json()
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}
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const uploadImage = async (file, accessToken) => {
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const formData = new FormData()
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const blob = new Blob([file.buffer], { type: file.mimetype })
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formData.append('file', blob, file.originalname)
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formData.append('purpose', 'general')
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const config = {
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maxBodyLength: Infinity,
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headers: {
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'Content-Type': 'multipart/form-data',
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'Accept': 'application/json',
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'Authorization': `Bearer ${accessToken}`
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}
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}
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try {
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const response = await axios.post(`${GIGA_CHAT_API}/files`, formData, config)
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return response.data.id
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} catch (error) {
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console.error(error)
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}
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}
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const analyzeImage = async (fileId, token) => {
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const response = await fetch(`${GIGA_CHAT_API}/chat/completions`, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Accept: "application/json",
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Authorization: `Bearer ${token}`,
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},
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body: JSON.stringify({
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model: "GigaChat-Max",
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stream: false,
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update_interval: 0,
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messages: [
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{
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role: "user",
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content:
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`Ты эксперт по оценке степени загрязнения автомобилей. Твоя задача — анализировать фотографии машин и определять степень их загрязнения. Ответ должен содержать: 1. Оценку степени загрязнения в виде числа от 0 до 10, где 0 - без загрязнений, 10 - загрязнена на 100%. 2. Пояснение к оценке в виде абзаца текста с обоснованием выставленной оценки.
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Ответ должен быть в виде объекта следующего вида:
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{
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"value": число от 0 до 10,
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"description": "текст с обоснованием оценки"
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}`,
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attachments: [fileId],
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},
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],
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}),
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})
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const data = await response.json()
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return JSON.parse(data.choices[0].message.content)
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}
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const convertFileToBase64 = (file) => {
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const base64Image = file.buffer.toString('base64')
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return base64Image
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@ -292,8 +380,15 @@ router.post('/:id/upload-car-img', upload.single('file'), async (req, res) => {
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throw new Error(VALIDATION_MESSAGES.carImg.required)
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}
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const { access_token } = await getToken(req, res)
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const fileId = await uploadImage(req.file, access_token)
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const { value, description } = await analyzeImage(fileId, access_token) ?? {}
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const orderCarImg = await OrderCarImgModel.create({
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file: convertFileToBase64(req.file),
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image: convertFileToBase64(req.file),
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imageRating: value,
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imageDescription: description,
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orderId,
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created: new Date().toISOString(),
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})
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@ -310,7 +405,7 @@ router.use((err, req, res, next) => {
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return res.status(400).json({ success: false, error: err.message })
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}
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}
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throw new Error(err.message)
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})
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