| {"version":3,"file":"LogService-b0lb4PC5.js","sources":["../../../.svelte-kit/adapter-node/chunks/LogService.js"],"sourcesContent":["import fs from \"fs\";\nimport path from \"path\";\nimport { promisify } from \"util\";\nimport { format } from \"date-fns\";\nimport mongoose from \"mongoose\";\nimport ExcelJS from \"exceljs\";\nimport { d as private_env } from \"./shared-server.js\";\nimport { E as ExcelColumnsName } from \"./constants.js\";\nconst LogSchema = new mongoose.Schema({\n llmPrompt: { type: String },\n llmTemplate: { type: String },\n llmResponse: { type: String },\n searchResults: { type: [String] },\n selectedSearchResults: { type: [String] },\n uiSettings: { type: Object },\n consultations: { type: [String] },\n userRequest: { type: String },\n userScore: { type: String },\n userComment: { type: String },\n dateCreated: { type: Date, default: Date.now },\n dateUpdated: { type: Date, default: Date.now }\n});\nLogSchema.index({ dateCreated: 1 }, { unique: false });\nconst LogModel = mongoose.models.Log || mongoose.model(\"Log\", LogSchema);\nclass MongooseService {\n uri;\n options;\n connection;\n constructor(uri, options = {}) {\n try {\n this.uri = uri || process.env.MONGODB_URI || \"\";\n this.options = options;\n this.connection = null;\n if (!this.uri) {\n console.warn(\"MongoDB URI is not defined\");\n }\n } catch {\n console.warn(\"MongoDB URI is not defined. Logs wont be saved.\");\n }\n }\n /**\n * Connect to the MongoDB database\n * @returns {Promise<Connection>}\n */\n async connect() {\n if (this.connection) {\n return this.connection;\n }\n try {\n await mongoose.connect(this.uri, this.options);\n this.connection = mongoose.connection;\n console.log(\"Connected to MongoDB\");\n return this.connection;\n } catch (error) {\n console.warn(\"MongoDB URI is not defined. Logs wont be saved.\");\n }\n }\n /**\n * Disconnect from the MongoDB database\n * @returns {Promise<void>}\n */\n async disconnect() {\n if (!this.connection) {\n console.log(\"No active MongoDB connection to disconnect\");\n return;\n }\n try {\n await mongoose.disconnect();\n this.connection = null;\n console.log(\"Disconnected from MongoDB\");\n } catch (error) {\n console.error(\"Error disconnecting from MongoDB:\", error);\n throw new Error(\"Could not disconnect from MongoDB\");\n }\n }\n /**\n * Get the current MongoDB connection\n * @returns {Connection | null}\n */\n async getConnection() {\n if (!this.isConnected()) {\n await this.connect();\n }\n return this.connection;\n }\n isConnected() {\n return this.connection !== null && mongoose.connection.readyState === 1;\n }\n}\nconst writeFile = promisify(fs.writeFile);\nconst readDir = promisify(fs.readdir);\nconst readFile = promisify(fs.readFile);\nclass LogService {\n mongooseService;\n logModel;\n constructor() {\n if (private_env.ENABLE_DB_SUPPORT) {\n this.mongooseService = new MongooseService(private_env.MONGODB_URI || \"\");\n this.logModel = LogModel;\n }\n }\n /**\n * Сохраняет лог в базу данных MongoDB, если она доступна.\n * @param document - Лог-документ, который нужно сохранить.\n * @returns {Promise<string>} ID созданной записи.\n */\n async log(document) {\n if (!private_env.ENABLE_DB_SUPPORT) {\n return \"\";\n }\n try {\n await this.mongooseService.getConnection();\n const logEntry = new this.logModel(document);\n await logEntry.save();\n console.log(\"Log entry saved to MongoDB\");\n return logEntry._id;\n } catch (err) {\n console.error(\"MongoDB connection failed\", err);\n }\n return \"\";\n }\n /**\n * Обновляет поле userScore в записи с указанным ID.\n * @param id - ID записи, которую нужно обновить.\n * @param score - Новое значение для userScore.\n * @param comment - Новое значение для userComment.\n * @returns Количество обновленных записей.\n */\n async logUserScore(id, score, comment) {\n if (!private_env.ENABLE_DB_SUPPORT) {\n return \"\";\n }\n try {\n await this.mongooseService.getConnection();\n const LogModel2 = mongoose.model(\"Log\");\n const result = await LogModel2.updateOne(\n { _id: id },\n { $set: { userScore: score, userComment: comment } }\n );\n return result.modifiedCount;\n } catch (error) {\n console.error(\"Error while updating userScore:\", error);\n throw error;\n }\n }\n /**\n * Сохраняет лог-документ в файл JSON.\n * Имя файла основано на текущем времени.\n * @param document - Лог-документ, который нужно сохранить.\n * @returns {Promise<void>}\n */\n async saveLogToJsonFile(document) {\n const timestamp = format(/* @__PURE__ */ new Date(), \"dd-MM-yyyy:HH:mm:ss:SSS\");\n const logDir = path.join(private_env.LOGS_ROOT_FOLDER, \"log\");\n const logFile = path.join(logDir, `${timestamp}.json`);\n if (!fs.existsSync(logDir)) {\n fs.mkdirSync(logDir, { recursive: true });\n }\n const data = JSON.stringify(document, null, 2);\n await writeFile(logFile, data);\n console.log(`Log entry saved to file: ${logFile}`);\n }\n /**\n * Экспортирует логи из базы данных и/или файлов в формате JSON или Excel.\n * Записи сортируются по дате создания. Если указаны dateFrom и dateTo, применяется фильтрация по дате.\n * @param type - Тип экспорта: 'json' или 'excel'.\n * @param dateFrom - Дата начала фильтрации (необязательно).\n * @param dateTo - Дата окончания фильтрации (необязательно).\n * @param fields - Поля для экспорта\n * @returns {Promise<any>}\n */\n async export(type, dateFrom, dateTo, fields) {\n if (!private_env.ENABLE_DB_SUPPORT) {\n return \"\";\n }\n const mongoLogs = await this.fetchLogsFromMongo(dateFrom, dateTo, fields);\n const allLogs = [...mongoLogs];\n if (type === \"json\") {\n return await this.exportToJson(allLogs);\n } else if (type === \"excel\") {\n return await this.exportToExcel(allLogs);\n }\n }\n /**\n * Извлекает логи из базы данных MongoDB с учетом фильтрации по дате.\n * @param dateFrom - Дата начала фильтрации (необязательно).\n * @param dateTo - Дата окончания фильтрации (необязательно).\n * @returns {Promise<any[]>} - Возвращает массив логов.\n */\n async fetchLogsFromMongo(dateFrom, dateTo, fields) {\n if (!private_env.ENABLE_DB_SUPPORT) {\n return [];\n }\n const query = {};\n if (dateFrom || dateTo) {\n query.dateCreated = {};\n if (dateFrom)\n query.dateCreated.$gte = dateFrom;\n if (dateTo)\n query.dateCreated.$lte = dateTo;\n }\n await this.mongooseService.getConnection();\n return await this.logModel.find(query).select(fields ? fields.join(\" \") : \"\").sort({ dateCreated: 1 }).lean().exec();\n }\n /**\n * Извлекает логи из файлов JSON в папке /data/log с учетом фильтрации по дате.\n * @param dateFrom - Дата начала фильтрации (необязательно).\n * @param dateTo - Дата окончания фильтрации (необязательно).\n * @returns {Promise<any[]>} - Возвращает массив логов.\n */\n async fetchLogsFromFiles(dateFrom, dateTo) {\n const logDir = path.join(__dirname, \"../data/log\");\n const files = await readDir(logDir);\n const logs = [];\n for (const file of files) {\n const filePath = path.join(logDir, file);\n const content = await readFile(filePath, \"utf-8\");\n const logEntry = JSON.parse(content);\n const fileDate = format(\n new Date(file.split(\".\")[0].replace(/-/g, \":\")),\n \"yyyy-MM-dd HH:mm:ss:SSS\"\n );\n if ((!dateFrom || new Date(fileDate) >= dateFrom) && (!dateTo || new Date(fileDate) <= dateTo)) {\n logs.push(logEntry);\n }\n }\n logs.sort((a, b) => new Date(a.dateCreated).getTime() - new Date(b.dateCreated).getTime());\n return logs;\n }\n // /**\n // * Экспортирует массив логов в файл JSON.\n // * @param logs - Массив логов, который нужно экспортировать.\n // * @returns {Promise<void>}\n // */\n // private async exportToJson(logs: any[]): Promise<void> {\n // const exportFile = path.join(__dirname, '../data/export/logs.json');\n // await writeFile(exportFile, JSON.stringify(logs, null, 2));\n // console.log(`Logs exported to JSON file: ${exportFile}`);\n // }\n /**\n * Экспортирует массив логов в файл Excel.\n * @param logs - Массив логов, который нужно экспортировать.\n * @returns {Promise<void>}\n */\n async exportToExcel(logs) {\n const workbook = new ExcelJS.Workbook();\n const worksheet = workbook.addWorksheet(\"Logs\");\n if (private_env.ENABLE_DB_SUPPORT) {\n worksheet.columns = Object.keys(logs[0] ?? {}).map((key) => {\n return {\n header: ExcelColumnsName[key] ?? key,\n key,\n width: 30\n };\n });\n logs.forEach((log) => {\n const consultations = (log.consultations ?? []).map((v) => JSON.stringify(v));\n const searchResults = (log.searchResults ?? []).map((v) => JSON.stringify(v));\n const selectedSearchResults = (log.selectedSearchResults ?? []).map(\n (v) => JSON.stringify(v)\n );\n const serializedLog = Object.fromEntries(\n Object.entries(log).map(([key, value]) => [\n key,\n typeof value === \"object\" && value !== null ? 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