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b/charybdis/cli/src/index.ts new file mode 100644 index 00000000..95cb4476 --- /dev/null +++ b/charybdis/cli/src/index.ts @@ -0,0 +1,58 @@ +#!/usr/bin/env node + +import { Command } from "commander"; +import figlet from "figlet"; +import axios from "axios"; + +const program = new Command(); +const SERVER_URL = "http://localhost:3000"; // Update this with your server's address + +console.log(figlet.textSync("Charybdis CLI")); + +program + .version("1.0.0") + .description( + "A CLI for managing database uploading and downloading for Argos" + ); + +// Command to download (dump) data +program + .command("dump-dev") + .description("Download data from the cloud database into local CSVs") + .action(async () => { + try { + console.log(`Downloading data to...`); + const response = await axios.put(`${SERVER_URL}/dump`); + + if (response.status === 200) { + console.log("Data successfully dumped"); + } else { + console.error("Error occurred during dump:", response.statusText); + } + } catch (error) { + console.error("Failed to dump data:", error); + } + }); + +// Command to upload data +program + .command("upload-dev") + .description("Upload data from local CSVs into the cloud database") + .action(async (inputPath) => { + try { + console.log(`Uploading data from...`); + const response = await axios.put(`${SERVER_URL}/upload`, { + inputPath, + }); + + if (response.status === 200) { + console.log("Data successfully uploaded from:", inputPath); + } else { + console.error("Error occurred during upload:", response.statusText); + } + } catch (error) { + console.error("Failed to upload data:", error); + } + }); + +program.parse(process.argv); diff --git a/charybdis/cloud-prisma/prisma.ts b/charybdis/cloud-prisma/prisma.ts index 010df39a..55b1d688 100644 --- a/charybdis/cloud-prisma/prisma.ts +++ b/charybdis/cloud-prisma/prisma.ts @@ -1,3 +1,5 @@ import { PrismaClient } from "./cloud-prisma-client"; -export const prisma = new PrismaClient(); \ No newline at end of file +export const prisma = new PrismaClient(); + +export { PrismaClient }; diff --git a/charybdis/local-prisma/prisma.ts b/charybdis/local-prisma/prisma.ts index 966521f8..be32af6e 100644 --- a/charybdis/local-prisma/prisma.ts +++ b/charybdis/local-prisma/prisma.ts @@ -1,3 +1,5 @@ import { PrismaClient } from "./local-prisma-client"; -export const prisma = new PrismaClient(); \ No newline at end of file +export const prisma = new PrismaClient(); + +export { PrismaClient }; diff --git a/charybdis/package-lock.json b/charybdis/package-lock.json index bc162d0a..d1aba5dd 100644 --- a/charybdis/package-lock.json +++ b/charybdis/package-lock.json @@ -9,15 +9,38 @@ "version": "1.0.0", "license": "MIT", "dependencies": { - "@prisma/client": "^6.2.1" + "@prisma/client": "^6.2.1", + "@types/json2csv": "^5.0.7", + "@types/pg": "^8.11.11", + "csv-parse": "^5.6.0", + "express": "^5.0.1", + "json2csv": "^6.0.0-alpha.2", + "pg": "^8.13.1", + "uuid": "^11.0.5" }, "devDependencies": { - "@types/node": "^22.10.6", + "@types/csv-parse": "^1.1.12", + "@types/express": "^5.0.0", + "@types/node": "^22.10.10", "prisma": "^6.2.1", + "ts-node": "^10.9.2", "tsx": "^4.19.2", "typescript": "^5.7.3" } }, + "node_modules/@cspotcode/source-map-support": { + "version": "0.8.1", + "resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz", + "integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/trace-mapping": "0.3.9" + }, + "engines": { + "node": ">=12" + } + }, "node_modules/@esbuild/aix-ppc64": { "version": "0.23.1", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.23.1.tgz", @@ -426,6 +449,34 @@ "node": ">=18" } }, + "node_modules/@jridgewell/resolve-uri": { + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz", + "integrity": 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"^22.10.6", + "@types/csv-parse": "^1.1.12", + "@types/express": "^5.0.0", + "@types/node": "^22.10.10", "prisma": "^6.2.1", + "ts-node": "^10.9.2", "tsx": "^4.19.2", "typescript": "^5.7.3" }, "dependencies": { - "@prisma/client": "^6.2.1" - } + "@prisma/client": "^6.2.1", + "@types/json2csv": "^5.0.7", + "@types/pg": "^8.11.11", + "csv-parse": "^5.6.0", + "express": "^5.0.1", + "json2csv": "^6.0.0-alpha.2", + "pg": "^8.13.1", + "uuid": "^11.0.5" + }, + "type": "module" } diff --git a/charybdis/server/package.json b/charybdis/server/package.json new file mode 100644 index 00000000..6f8fe773 --- /dev/null +++ b/charybdis/server/package.json @@ -0,0 +1,12 @@ +{ + "name": "server", + "version": "1.0.0", + "main": "index.js", + "scripts": { + "start": "npx tsx --env-file=.env --watch src/index.ts" + }, + "keywords": [], + "author": "", + "license": "ISC", + "description": "" +} diff --git a/charybdis/server/src/controllers/compare.controller.ts b/charybdis/server/src/controllers/compare.controller.ts new file mode 100644 index 00000000..f73ecad8 --- /dev/null +++ b/charybdis/server/src/controllers/compare.controller.ts @@ -0,0 +1,7 @@ +import { Request, Response } from "express"; +import { compareDatabases } from "../services/compare.service"; + +export const compareCloudToLocal = async (req: Request, res: Response) => { + let result = await compareDatabases(); + res.json({ message: result }); +}; diff --git a/charybdis/server/src/controllers/dump.controller.ts b/charybdis/server/src/controllers/dump.controller.ts new file mode 100644 index 00000000..105857e0 --- /dev/null +++ b/charybdis/server/src/controllers/dump.controller.ts @@ -0,0 +1,7 @@ +import { Request, Response } from "express"; +import { dumpLocalDb } from "../services/dump.service"; + +export const dump = async (req: Request, res: Response) => { + await dumpLocalDb(); + res.json({ message: "Dumped the mf data" }); +}; diff --git a/charybdis/server/src/controllers/upload.controller.ts b/charybdis/server/src/controllers/upload.controller.ts new file mode 100644 index 00000000..b40d5d1a --- /dev/null +++ b/charybdis/server/src/controllers/upload.controller.ts @@ -0,0 +1,29 @@ +// import { Request, Response } from "express"; +// import { uploadToCloud } from "../services/upload.service"; +// import { prisma as cloudPrisma } from "../../../local-prisma/prisma"; +// import { v4 as uuidv4 } from "uuid"; + +// export const upload = async (req: Request, res: Response) => { +// const batchRunInserter = async (batch) => { +// const newRuns = batch.map((run) => { +// const newId = uuidv4(); +// runIdMap[run.runId] = newId; + +// return { +// id: newId, +// runId: Number(run.runId), +// driverName: run.driverName, +// notes: run.notes +// ? `${run.notes} (location: ${run.locationName || ""})` +// : `(location: ${run.locationName || ""})`, +// time: new Date(run.time), +// }; +// }); + +// await cloudPrisma.run.createMany({ data: newRuns, skipDuplicates: true }); +// console.log(`Inserted ${newRuns.length} runs`); +// }; + +// await uploadRuns(); +// res.json({ message: "Uploaded the mf data" }); +// }; diff --git a/charybdis/server/src/index.ts b/charybdis/server/src/index.ts new file mode 100644 index 00000000..aad39656 --- /dev/null +++ b/charybdis/server/src/index.ts @@ -0,0 +1,30 @@ +import express, { Request, Response } from "express"; +import { dump } from "./controllers/dump.controller"; +// import { upload } from "./controllers/upload.controller"; +import { compareCloudToLocal } from "./controllers/compare.controller"; + +// Create a new express application instance +const app = express(); + +// Set the network port +const port = process.env.PORT || 3000; + +// Define the root path with a greeting message +app + .get("/", (req: Request, res: Response) => { + res.json({ message: "Welcome to the Express + TypeScript Server!" }); + }) + .put("/dump", (req: Request, res: Response) => { + dump(req, res); + }) + // .put("/upload", (req: Request, res: Response) => { + // upload(req, res); + // }) + .get("/compare", (req: Request, res: Response) => { + compareCloudToLocal(req, res); + }); + +// Start the Express server +app.listen(port, () => { + console.log(`The server is running at http://localhost:${port}`); +}); diff --git a/charybdis/server/src/services/compare.service.ts b/charybdis/server/src/services/compare.service.ts new file mode 100644 index 00000000..f629afe8 --- /dev/null +++ b/charybdis/server/src/services/compare.service.ts @@ -0,0 +1,91 @@ +import pg from "pg"; +const { Client } = pg; + +// PostgreSQL connection settings from environment variables +const localDbConfig = { + connectionString: process.env.LOCAL_DATABASE_URL, +}; + +const cloudDbConfig = { + connectionString: process.env.CLOUD_DATABASE_URL, +}; + +// Query to get table row counts +const rowCountQuery = ` + SELECT table_name, + (xpath('/row/c/text()', + query_to_xml(format('SELECT COUNT(*) AS c FROM %I', table_name), true, true, '')))[1]::text::int AS row_count + FROM information_schema.tables + WHERE table_schema = 'public' + AND table_type = 'BASE TABLE' + ORDER BY table_name; +`; + +// Function to fetch row counts from a database +async function fetchRowCounts( + clientConfig: any, + dbLabel: string +): Promise> { + const client = new Client(clientConfig); + await client.connect(); + try { + console.log(`Fetching row counts from ${dbLabel} database...`); + const res = await client.query(rowCountQuery); + const counts: Record = {}; + res.rows.forEach((row) => { + counts[row.table_name] = row.row_count; + }); + return counts; + } catch (error) { + console.error(`Error fetching row counts from ${dbLabel}:`, error); + throw error; + } finally { + await client.end(); + } +} + +// Function to compare local and cloud row counts and return comparison results +export async function compareDatabases(): Promise<{ + matches: string[]; + mismatches: string[]; + extraTables: string[]; +}> { + try { + const localCounts = await fetchRowCounts(localDbConfig, "LOCAL"); + const cloudCounts = await fetchRowCounts(cloudDbConfig, "CLOUD"); + + const matches: string[] = []; + const mismatches: string[] = []; + const extraTables: string[] = []; + + // Compare common tables + Object.keys(localCounts).forEach((table) => { + const localCount = localCounts[table] || 0; + const cloudCount = cloudCounts[table] || 0; + + if (localCount !== cloudCount) { + mismatches.push( + `Mismatch: Table ${table} - LOCAL: ${localCount}, CLOUD: ${cloudCount}` + ); + } else { + matches.push( + `Match: Table ${table} - LOCAL: ${localCount}, CLOUD: ${cloudCount}` + ); + } + }); + + // Check if there are tables in cloud that do not exist in local + Object.keys(cloudCounts).forEach((table) => { + if (!(table in localCounts)) { + extraTables.push( + `Extra table in CLOUD: ${table} with ${cloudCounts[table]} rows` + ); + } + }); + + return { matches, mismatches, extraTables }; + } catch (error) { + console.error("Error during database comparison:", error); + throw error; + } +} diff --git a/charybdis/server/src/services/dump.service.ts b/charybdis/server/src/services/dump.service.ts new file mode 100644 index 00000000..e41c400f --- /dev/null +++ b/charybdis/server/src/services/dump.service.ts @@ -0,0 +1,274 @@ +import { Parser } from "json2csv"; +import * as fs from "fs"; +import { prisma as localPrisma } from "../../../local-prisma/prisma"; +import { v4 as uuidV4 } from "uuid"; +import { LocalData, LocalDataType, LocalRun } from "../types/local.types"; +import { CsvRunRow } from "../types/csv.types"; +import { parse } from "csv-parse"; +import * as path from "path"; +import { DOWNLOADS_PATH } from "../storage-paths"; +import { WriteStream } from "fs"; + +async function createFolder(folderPath: string) { + if (!fs.existsSync(folderPath)) { + fs.mkdirSync(folderPath); + console.log(`Folder created at: ${folderPath}`); + } else { + console.log(`Folder already exists at: ${folderPath}`); + } +} + +function createMeaningfulFileName(name: string, date: Date): string { + // Format the date as "yyyy_month_day-hr_minute_ms" + const year = date.getFullYear(); + const month = String(date.getMonth() + 1).padStart(2, "0"); + const day = String(date.getDate()).padStart(2, "0"); + const hours = String(date.getHours()).padStart(2, "0"); + const minutes = String(date.getMinutes()).padStart(2, "0"); + const seconds = String(date.getSeconds()).padStart(2, "0"); + const milliseconds = String(date.getMilliseconds()).padStart(3, "0"); + + const formattedDate = `${year}_${month}_${day}-${hours}_${minutes}_${seconds}_${milliseconds}`; + + // Combine the sanitized file name with the formatted date + return `${name}-${formattedDate}`; +} + +/** + * The interface describing our CSV writer, parameterized by a generic type T. + * + * - `appendRecords(records: T[]): void` + * Appends an array of T records to the CSV. + * - `close(): void` + * Closes the underlying file stream. + */ +export interface CsvStreamWriter { + appendRecords(records: T[]): void; + close(): void; +} + +/** + * Creates a writer object that can append records to a CSV file in batches. + * + * @param filename The path to the CSV file. + * @returns A typed object (`CsvStreamWriter`) with `appendRecords` and `close` methods. + */ +export function createCsvStreamWriter(filename: string): CsvStreamWriter { + // Check if the file already exists (to determine whether to write headers). + const fileExists = fs.existsSync(filename); + + // Create a write stream in append mode. + const writeStream: WriteStream = fs.createWriteStream(filename, { + flags: "a", + }); + + // Create a JSON2CSV parser. If the file doesn't exist, enable headers. Otherwise, skip them. + // Adjust parser options as needed (e.g., flatten, transforms, etc.) + const parser = new Parser({ + header: !fileExists, // Write headers only if file doesn't exist + }); + + return { + /** + * Appends the given records of type T to the CSV file. + * + * @param records Array of T objects to append. + */ + appendRecords(records: T[]): void { + if (!records || records.length === 0) { + return; + } + + const csv = parser.parse(records); + const filePath = writeStream.path as string; // Get file path from stream + + // Check if the file already has content (i.e., a header) + if (fs.existsSync(filePath) && fs.statSync(filePath).size > 0) { + // ✅ File already has a header, append only data + const lines = csv.split("\n").slice(1).join("\n"); // Remove first line (header) + writeStream.write(lines + "\n"); + } else { + // ✅ File is new, write full CSV including header + writeStream.write(csv + "\n"); + } + }, + + /** + * Closes the underlying file stream. + * Make sure to call this after finishing all appends! + */ + close(): void { + writeStream.end(); + }, + }; +} + +async function dumpDataTypeToCsv(batchSize: number, storagePath: string) { + let moreData = true; + let cursor: { name: string } | undefined; + let csvWriter = createCsvStreamWriter( + `${storagePath}/data_type.csv` + ); + + while (moreData) { + const dataTypes = await localPrisma.data_type.findMany({ + // order by is important to ensure we don't grab the same data + // twice while batch querying. + orderBy: { + name: "asc", + }, + cursor, + skip: cursor ? 1 : 0, // skip the cursor itself if we already have one + take: batchSize, + }); + + if (dataTypes.length === 0) { + moreData = false; + } else { + // Update cursor + cursor = { + name: dataTypes[dataTypes.length - 1].name, + }; + csvWriter.appendRecords(dataTypes); + console.log(`Fetched ${dataTypes.length} Data Types`); + } + } +} + +async function dumpRunToCsv(batchSize: number, storagePath: string) { + let moreRuns = true; + let cursor: { runId: number } | undefined; + let csvWriter = createCsvStreamWriter(`${storagePath}/run.csv`); + + while (moreRuns) { + const runs: LocalRun[] = await localPrisma.run.findMany({ + orderBy: { + runId: `asc`, + }, + cursor, + skip: cursor ? 1 : 0, // skip the cursor which we have already got last loop + take: batchSize, + }); + + if (runs.length === 0) { + moreRuns = false; + } else { + // Update cursor, this is where we will start of next loop + cursor = { + runId: runs[runs.length - 1].runId, + }; + + // convert to the csv type before inserting (allowing us to create a uuid) + const csvDataRow: CsvRunRow[] = runs.map((localRun) => { + return { + uuid: uuidV4(), + runId: localRun.runId.toString(), + driverName: localRun.driverName, + locationName: localRun.locationName, + notes: localRun.notes, + time: localRun.time.toISOString(), + }; + }); + + csvWriter.appendRecords(csvDataRow); + console.log(`Inserted ${csvDataRow.length} to run.csv`); + } + } +} + +async function extractRunIds(filePath: string): Promise { + return new Promise((resolve, reject) => { + const runIds: number[] = []; + + const readStream = fs.createReadStream(path.resolve(filePath)); + const parser = parse({ columns: true, skip_empty_lines: true }); // `columns: true` parses rows into objects + + readStream + .pipe(parser) + .on("data", (row: CsvRunRow) => { + if (row.runId) { + // get the runId from the row + let runId = parseInt(row.runId); + // and save it to the runIds array + runIds.push(runId); + } + }) + .on("end", () => { + console.log("Extracted runIds:", runIds); + return resolve(runIds); + }) + .on("error", (err) => { + console.error("Error reading CSV:", err); + reject(err); + }); + }); +} + +async function dumpAllDataByRuns(batchSize: number, currentDumpPath: string) { + // check our current download folder to ensure that we are only using runs that we have downloaded + // and query the runId column for all the runIds using a parser + + // TODO: whether or not we want to cross refrence this with the run table is TBD + // (or at least give a warning if there are more runIds in the data table than the run table) + let downloadedRunIds = await extractRunIds(`${currentDumpPath}/run.csv`); + + const dataFolder = `${currentDumpPath}/data`; + await createFolder(dataFolder); + + // TODO: if there is ever some sort of restart, we should have some way of resuming where we left off. + for (const runId of downloadedRunIds) { + await dumpDataByRun(runId, 50000, dataFolder); + } +} + +async function dumpDataByRun( + runId: number, + batchSize: number, + storagePath: string +) { + let moreData = true; + let offset = 0; + let csvWriter = createCsvStreamWriter( + `${storagePath}/run-${runId}-data.csv` + ); + + while (moreData) { + // Fetch batched data using `findMany` + const dataChunk = await localPrisma.data.findMany({ + where: { runId }, + take: batchSize, + skip: offset, // ✅ Efficiently skip processed data + orderBy: [{ time: "asc" }, { dataTypeName: "asc" }], + }); + + if (dataChunk.length === 0) { + moreData = false; + } else { + offset += dataChunk.length; // ✅ Move offset forward + csvWriter.appendRecords(dataChunk); + console.log(`Inserted ${dataChunk.length} rows to run-${runId}-data.csv`); + } + } +} + +export async function dumpLocalDb() { + try { + console.log("Starting data export..."); + const currentDumpName = createMeaningfulFileName("dump", new Date()); + const dumpFolderPath = `${DOWNLOADS_PATH}/${currentDumpName}`; + await createFolder(dumpFolderPath); + + // data type goes first because it is not dependent on any other table + await dumpDataTypeToCsv(1000, dumpFolderPath); + + // run goes second because it is not dependent on any other table + await dumpRunToCsv(1000, dumpFolderPath); + + // data goes last because it is dependent on the run and data type tables + await dumpAllDataByRuns(10000, dumpFolderPath); + + console.log("Data export completed successfully."); + } catch (error) { + console.error("Error exporting data to CSV:", error); + } +} diff --git a/charybdis/server/src/services/upload.service.ts b/charybdis/server/src/services/upload.service.ts new file mode 100644 index 00000000..22dc5d4f --- /dev/null +++ b/charybdis/server/src/services/upload.service.ts @@ -0,0 +1,206 @@ +/* TBD, waiting to decide on how to handle data date fields */ + +// import * as fs from "fs"; +// import * as path from "path"; +// import { parse } from "csv-parse"; +// import { PrismaClient as CloudPrisma } from "../../../cloud-prisma/prisma"; +// import { LocalData, LocalDataType, LocalRun } from "../types/local.types"; +// import { CloudData, CloudDataType, CloudRun } from "../types/cloud.types"; +// import { CsvRunRow } from "../types/csv.types"; +// import { DOWNLOADS_PATH } from "../storage-paths"; + +// const localTables = { +// run: "run", +// data: "data", +// data_type: "data_type", +// }; + +// export async function processRuns( +// processRunBatch: (batch: CsvRunRow[]) => Promise +// ) { +// await processCsvInBatches( +// `${localTables.run}.csv`, +// processRunBatch, +// 1000 +// ); +// } + +// export async function processDataType( +// processDataTypeBatch: (batch: LocalDataType[]) => Promise +// ) { +// await processCsvInBatches( +// `${localTables.data_type}.csv`, +// processDataTypeBatch, +// 1000 +// ); +// } + +// export async function processData( +// processDataBatch: (batch: LocalData[]) => Promise +// ) { +// await processCsvInBatches( +// `${localTables.data}.csv`, +// processDataBatch, +// 5000 +// ); +// } + +// // Initialize the cloud DB client +// const cloudDb = new CloudPrisma(); + +// // Define batch size to avoid memory overload +// const BATCH_SIZE = 1000; // Process records in chunks of 1000 + +// /** +// * Stream CSV data in batches to avoid memory overload. +// */ +// async function processCsvInBatches( +// filename: string, +// processBatch: (batch: T[]) => Promise, +// batchSize: number +// ): Promise { +// return new Promise((resolve, reject) => { +// const records: any[] = []; +// const readStream = fs +// .createReadStream(path.resolve(filename)) +// .pipe(parse({ columns: true, skip_empty_lines: true, cast: true })); + +// // this data has +// readStream.on("data", (row) => { +// records.push(row); + +// if (records.length >= batchSize) { +// readStream.pause(); // Pause stream to process batch +// processBatch(records.splice(0, batchSize)) +// .then(() => readStream.resume()) // Resume stream after batch processing +// .catch(reject); +// } +// }); + +// readStream.on("end", async () => { +// if (records.length > 0) { +// await processBatch(records); +// } +// console.log(`Finished processing ${filename}`); +// resolve(); +// }); + +// readStream.on("error", (err) => { +// reject(`Error reading ${filename}: ${err.message}`); +// }); +// }); +// } + +// export async function uploadToCloud() { +// try { +// console.log("Starting CSV to Cloud DB transfer..."); + +// const mostRecentFolder = getFirstLexicographicalFolder(DOWNLOADS_PATH); +// if (!mostRecentFolder) { +// console.error("No folders found in downloads directory."); +// process.exit(1); +// } + +// // Upsert data types into the cloud database +// await processDataType(async (batch) => { +// const cloudDataTypes: CloudDataType[] = batch.map((localDataType) => ({ +// name: localDataType.name, +// unit: localDataType.unit, +// nodeName: localDataType.nodeName, +// })); + +// await cloudDb.data_type.createMany({ +// data: cloudDataTypes, +// skipDuplicates: true, +// }); +// console.log(`Inserted ${cloudDataTypes.length} data_type entries`); +// }); + +// // Insert each run and it's data in batches +// await processRunsAndData(mostRecentFolder); + +// console.log("Inserted all runs"); + +// // 2. Insert data_type in batches +// await processCsvInBatches("data_type.csv", async (batch) => { +// const cloudDataTypes: CloudDataType[] = batch.map((localDataType) => ({ +// name: localDataType.name, +// unit: localDataType.unit, +// nodeName: localDataType.nodeName, +// })); + +// await cloudDb.data_type.createMany({ +// data: cloudDataTypes, +// skipDuplicates: true, +// }); +// console.log(`Inserted ${cloudDataTypes.length} data_type entries`); +// }); + +// console.log("Inserted all data_type entries"); + +// // 3. Insert data in batches +// await processCsvInBatches("data.csv", async (batch) => { +// const newData: CloudData[] = batch.map((localData, index) => { +// // const values = parseFloatArray(localData.values); + +// if (localData.values.length === 0) { +// console.warn( +// `Warning: Row ${index + 1} has empty values for dataType ${ +// localData.dataTypeName +// }` +// ); +// } + +// return { +// time: new Date(localData.time), +// dataTypeName: localData.dataTypeName, +// runId: runIdMap[localData.runId], // Convert local runId(Int) to new run ID(String) +// values: localData.values, +// }; +// }); + +// await cloudDb.data.createMany({ data: newData, skipDuplicates: true }); +// console.log(`Inserted ${newData.length} data entries`); +// }); + +// console.log("Inserted all data entries"); +// console.log("CSV to Cloud transfer complete."); +// } catch (error) { +// console.error("Error processing CSV files:", error); +// process.exit(1); +// } finally { +// await cloudDb.$disconnect(); +// } +// } + +// /** +// * Get the lexically first folder in the specified directory. +// * +// * @param directoryPath The path to the directory to search. +// * @returns The name of the first folder found, or null if no folders are found. +// */ +// function getFirstLexicographicalFolder(directoryPath: string): string | null { +// try { +// // Read all items in the directory +// const items = fs.readdirSync(directoryPath, { withFileTypes: true }); + +// // Filter items to include only directories +// const folders = items +// .filter((item) => item.isDirectory()) +// .map((folder) => folder.name); + +// if (folders.length === 0) { +// console.log("No folders found in the directory."); +// return null; +// } + +// // Sort folders by name (assumes timestamped names) +// const sortedFolders = folders.sort(); + +// // Return the last folder name (most recent) +// return sortedFolders[0]; +// } catch (error) { +// console.error("Error reading directory:", error); +// return null; +// } +// } diff --git a/charybdis/server/src/storage-paths.ts b/charybdis/server/src/storage-paths.ts new file mode 100644 index 00000000..6d1c21c3 --- /dev/null +++ b/charybdis/server/src/storage-paths.ts @@ -0,0 +1,4 @@ +import * as path from "path"; + +export const PROJECT_ROOT = path.resolve(__dirname, "../"); +export const DOWNLOADS_PATH = path.resolve(PROJECT_ROOT, "downloads"); diff --git a/charybdis/server/src/transformers/csv.transformer.ts b/charybdis/server/src/transformers/csv.transformer.ts new file mode 100644 index 00000000..478503dc --- /dev/null +++ b/charybdis/server/src/transformers/csv.transformer.ts @@ -0,0 +1,120 @@ +import { CsvDataRow, CsvDataTypeRow, CsvRunRow } from "../types/csv.types"; +import { LocalData, LocalDataType, LocalRun } from "../types/local.types"; + +/** + * Converts the CSV run row, which has fields all as they + * are stored in the CSV (as strings), to a local run. + * + * @param csvRunRow The CSV run row to convert. + * @returns a typed version of run as it is stored in the Local database. + */ +export const csvToLocalRun = (csvRunRow: CsvRunRow): LocalRun => { + const runId = parseInt(csvRunRow.runId); + if (isNaN(runId) || runId < 0) { + console.log("Invalid runId found in CSV:", csvRunRow.runId); + throw new Error("Invalid runId"); + } + + const time = new Date(csvRunRow.time); + if (isNaN(time.getTime())) { + console.log("Invalid time found in CSV:", csvRunRow.time); + throw new Error("Invalid time format in CSV"); + } + + return { + runId, + driverName: csvRunRow.driverName, + locationName: csvRunRow.locationName, + notes: csvRunRow.notes, + time, + }; +}; + +/** + * Converts the CSV data type row, which has fields all as they + * are stored in the CSV (as strings), to a local data type. + * + * @param csvDataTypeRow The CSV data type row to convert. + * @returns a typed version of data type as it is stored in the Local database. + */ +export const csvToLocalDataType = ( + csvDataTypeRow: CsvDataTypeRow +): LocalDataType => { + return { + name: csvDataTypeRow.name, + unit: csvDataTypeRow.unit, + nodeName: csvDataTypeRow.nodeName, + }; +}; + +/** + * Converts the CSV data row, which has fields all as they + * are stored in the CSV (as strings), to a local data. + * + * @param csvDataRow The CSV data row to convert. + * @returns the typed version of data as it is stored in the Local database. + */ +export const csvToLocalData = (csvDataRow: CsvDataRow): LocalData => { + const time = new Date(csvDataRow.time); + if (isNaN(time.getTime())) { + console.log("Invalid time found in CSV:", csvDataRow.time); + throw new Error("Invalid time format in CSV"); + } + + const values = parseFloatArray(csvDataRow.values); + + return { + values, + time, + runId: csvDataRow.runId, + dataTypeName: csvDataRow.dataTypeName, + }; +}; + +/** + * Parses a string representation of an array of floats in the format "[1,2,3]". + * Throws an error if NaN values are encountered. + */ +function parseFloatArray(maybeArrayString: string): number[] { + if (!maybeArrayString || maybeArrayString.trim() === "") { + console.log("Empty values field found in CSV:", maybeArrayString); + throw new Error( + "Error: Encountered empty values field, expected format '[1,2,3]'." + ); + } + + // Ensure string starts and ends with square brackets + if (!/^\[.*\]$/.test(maybeArrayString.trim())) { + console.log("Invalid format found in CSV:", maybeArrayString); + throw new Error( + `Error: Invalid format, expected "[...]", received: "${maybeArrayString}"` + ); + } + + // Remove brackets and whitespace + const cleaned = maybeArrayString.trim().slice(1, -1).trim(); + + if (cleaned.length === 0) { + console.log("Empty values array found in CSV:", maybeArrayString); + throw new Error( + `Error: Empty values array after parsing for input: "${maybeArrayString}"` + ); + } + + // Split values by comma, trim whitespace, and parse to float + const parsedArray = cleaned.split(",").map((val) => { + const parsed = parseFloat(val.trim()); + + if (isNaN(parsed)) { + console.log("Invalid value found in CSV:", val.trim()); + throw new Error( + `Error: Encountered NaN value in input: "${maybeArrayString}" at "${val.trim()}"` + ); + } + + // each returned value builds the array of values + return parsed; + }); + + return parsedArray; +} diff --git a/charybdis/server/src/types/cloud.types.ts b/charybdis/server/src/types/cloud.types.ts new file mode 100644 index 00000000..f77ec468 --- /dev/null +++ b/charybdis/server/src/types/cloud.types.ts @@ -0,0 +1,29 @@ +/** + * Represents a run in our cloud database. + */ +export interface CloudRun { + id: string; // uuid + runId: number; // based on the day of the run + driverName: string; + notes: string; + time: Date; +} + +/** + * Representation of data in our cloud database. + */ +export interface CloudData { + runId: string; // the run this data was recorded during + dataTypeName: string; // the name of where the data came from (on the car) + time: BigInt; // the time the data was recorded + values: number[]; // the values recorded +} + +/** + * Representation of a data type in the cloud database. + */ +export interface CloudDataType { + name: string; // unique id + unit: string; // e.g. "V (Volts), "A (Amps)", "C (Celsius)" + nodeName: string; +} diff --git a/charybdis/server/src/types/csv.types.ts b/charybdis/server/src/types/csv.types.ts new file mode 100644 index 00000000..997d5e1f --- /dev/null +++ b/charybdis/server/src/types/csv.types.ts @@ -0,0 +1,28 @@ +/* these all match the local database types, except the are the format we expect our csv local csv to hold them in */ + +export interface CsvRunRow { + /* + we store uuid locally in order to fully ensure + that when a run upload fails, and we will be able to maintain access + and knowledge of the uuid mapping to our local runId. + */ + uuid: string; + runId: string; + driverName: string; + locationName: string; + notes: string; + time: string; +} + +export interface CsvDataRow { + values: string; + time: string; + runId: string; + dataTypeName: string; +} + +export interface CsvDataTypeRow { + name: string; + unit: string; + nodeName: string; +} diff --git a/charybdis/server/src/types/local.types.ts b/charybdis/server/src/types/local.types.ts new file mode 100644 index 00000000..18fd8cca --- /dev/null +++ b/charybdis/server/src/types/local.types.ts @@ -0,0 +1,29 @@ +/** + * Representation of run in our local database. + */ +export interface LocalRun { + runId: number; + driverName: string; + locationName: string; + notes: string; + time: Date; +} + +/** + * Representation of data in our local database. + */ +export interface LocalData { + values: number[]; + time: bigint; + runId: number; + dataTypeName: string; +} + +/** + * Representation of a data type in our local database. + */ +export interface LocalDataType { + name: string; + unit: string; + nodeName: string; +} diff --git a/charybdis/tsconfig.json b/charybdis/tsconfig.json deleted file mode 100644 index c9c555d9..00000000 --- a/charybdis/tsconfig.json +++ /dev/null @@ -1,111 +0,0 @@ -{ - "compilerOptions": { - /* Visit https://aka.ms/tsconfig to read more about this file */ - - /* Projects */ - // "incremental": true, /* Save .tsbuildinfo files to allow for incremental compilation of projects. */ - // "composite": true, /* Enable constraints that allow a TypeScript project to be used with project references. */ - // "tsBuildInfoFile": "./.tsbuildinfo", /* Specify the path to .tsbuildinfo incremental compilation file. */ - // "disableSourceOfProjectReferenceRedirect": true, /* Disable preferring source files instead of declaration files when referencing composite projects. */ - // "disableSolutionSearching": true, /* Opt a project out of multi-project reference checking when editing. */ - // "disableReferencedProjectLoad": true, /* Reduce the number of projects loaded automatically by TypeScript. */ - - /* Language and Environment */ - "target": "es2016", /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */ - // "lib": [], /* Specify a set of bundled library declaration files that describe the target runtime environment. */ - // "jsx": "preserve", /* Specify what JSX code is generated. */ - // "experimentalDecorators": true, /* Enable experimental support for legacy experimental decorators. */ - // "emitDecoratorMetadata": true, /* Emit design-type metadata for decorated declarations in source files. */ - // "jsxFactory": "", /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h'. */ - // "jsxFragmentFactory": "", /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */ - // "jsxImportSource": "", /* Specify module specifier used to import the JSX factory functions when using 'jsx: react-jsx*'. */ - // "reactNamespace": "", /* Specify the object invoked for 'createElement'. 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