[Draft] Stockage des données sur MariaDB avec TypeORM

docker-compose.yaml

@@ -3,7 +3,7 @@ version: "3.1"
 services:
   mariadb:
     image: mariadb:latest
-    restart: "always"
+    restart: "no"
     environment:
       MYSQL_ROOT_PASSWORD: root
       MYSQL_DATABASE: db

package-lock.json

@@ -15,6 +15,7 @@
         "dotenv": "^16.4.5",
         "express": "^4.21.0",
         "fast-csv": "^5.0.1",
+        "jsonschema": "^1.4.1",
         "mysql": "^2.18.1",
         "reflect-metadata": "^0.2.2",
         "tar-stream": "^3.1.7",
@@ -1423,6 +1424,15 @@
         "graceful-fs": "^4.1.6"
       }
     },
+    "node_modules/jsonschema": {
+      "version": "1.4.1",
+      "resolved": "https://registry.npmjs.org/jsonschema/-/jsonschema-1.4.1.tgz",
+      "integrity": "sha512-S6cATIPVv1z0IlxdN+zUk5EPjkGCdnhN4wVSBlvoUO1tOLJootbo9CquNJmbIh4yikWHiUedhRYrNPn1arpEmQ==",
+      "license": "MIT",
+      "engines": {
+        "node": "*"
+      }
+    },
     "node_modules/lodash.escaperegexp": {
       "version": "4.1.2",
       "resolved": "https://registry.npmjs.org/lodash.escaperegexp/-/lodash.escaperegexp-4.1.2.tgz",

package.json

@@ -21,6 +21,7 @@
     "dotenv": "^16.4.5",
     "express": "^4.21.0",
     "fast-csv": "^5.0.1",
+    "jsonschema": "^1.4.1",
     "mysql": "^2.18.1",
     "reflect-metadata": "^0.2.2",
     "tar-stream": "^3.1.7",

src/AppDataSource.ts

@@ -1,6 +1,11 @@
 import "reflect-metadata";
 import { DataSource } from "typeorm";
 import { Log } from "./entity/Log";
+import {
+  NudgerData,
+  OpenFoodFactsData,
+  WorldCitiesData,
+} from "./services/data";
 
 export const AppDataSource = new DataSource({
   type: "mariadb",
@@ -10,8 +15,8 @@ export const AppDataSource = new DataSource({
   password: "root",
   database: "db",
   synchronize: true,
-  logging: true,
+  logging: false,
-  entities: [Log],
+  entities: [Log, NudgerData, OpenFoodFactsData, WorldCitiesData],
   subscribers: [],
   migrations: [],
 });

src/routes/randomize.ts

@@ -49,6 +49,7 @@ router.post("/randomize/:id", async (req: Request, res: Response) => {
 
   const dmn: Definitions = await DMN.parse(req.body);
   const schema = DMN.getSchema(dmn);
+  console.log(JSON.stringify(schema, null, 2));
 
   const data: Data[] = await dataset.get(size, schema);
 

src/services/CacheService.ts

@@ -22,8 +22,8 @@ class CacheService {
   }
 }
 
-if (!existsSync(CacheService.CACHE_DIR)) {
+// if (!existsSync(CacheService.CACHE_DIR)) {
-  mkdirSync(CacheService.CACHE_DIR);
+//   mkdirSync(CacheService.CACHE_DIR);
-}
+// }
 
 export default CacheService;

src/services/data/Data.ts

@@ -1,9 +1,13 @@
 interface Data {
-  input: any[];
+  id?: number;
-  output: any[];
 }
 
-type DataConstructor<T extends Data> = new (...args: any[]) => T;
+class InvalidData extends Error {
+  constructor(message: string) {
+    super(message);
+    this.name = "Invalid data";
+  }
+}
 
 export default Data;
-export { DataConstructor };
+export { InvalidData };

src/services/data/NudgerData.ts

@@ -1,4 +1,5 @@
-import { Data } from "./";
+import { Data, InvalidData } from "./";
+import { Column, Entity, PrimaryGeneratedColumn } from "typeorm";
 
 type RawNudgerData = {
   code: string; // "3260014791012",
@@ -15,13 +16,37 @@ type RawNudgerData = {
   url: string; // ""
 };
 
+@Entity()
 class NudgerData implements Data {
-  input: string[];
+  @PrimaryGeneratedColumn({
-  output: string[];
+    type: "integer",
+  })
+  id?: number;
 
-  constructor({ code, gs1_country }: RawNudgerData) {
+  @Column()
-    this.input = [code];
+  barcode_ean_13: string;
-    this.output = [gs1_country];
+
+  @Column()
+  country: string;
+
+  constructor(code: string, gs1_country: string) {
+    this.barcode_ean_13 = code;
+    this.country = gs1_country;
+  }
+
+  fromRaw({ code, gs1_country }: RawNudgerData): NudgerData {
+    if (!code || !gs1_country || code.length !== 13) {
+      throw new InvalidData("Invalid data");
+    }
+
+    return new NudgerData(code, gs1_country);
+  }
+
+  asData(nudgerData: NudgerData): any {
+    return {
+      "Barcode (EAN 13)": nudgerData.barcode_ean_13,
+      Country: nudgerData.country,
+    };
   }
 }
 

src/services/data/OpenFoodFactsData.ts

@@ -1,17 +1,45 @@
-import { Data } from "./";
+import { Data, InvalidData } from "./";
+import { Column, Entity, PrimaryColumn, PrimaryGeneratedColumn } from "typeorm";
 
 type RawOpenFoodFactsData = {
   code: string;
   countries_en: string;
 };
 
+@Entity()
 class OpenFoodFactsData implements Data {
-  input: string[] = [];
+  @PrimaryGeneratedColumn({
-  output: string[] = [];
+    type: "integer",
+  })
+  id?: number;
 
-  constructor({ code, countries_en }: RawOpenFoodFactsData) {
+  @Column()
-    this.input = [code];
+  barcode_ean_13: string;
-    this.output = [countries_en];
+
+  @Column()
+  country: string;
+
+  constructor(code: string, gs1_country: string) {
+    this.barcode_ean_13 = code;
+    this.country = gs1_country;
+  }
+
+  fromRaw({
+    code,
+    countries_en,
+  }: RawOpenFoodFactsData): OpenFoodFactsData {
+    if (!code || !countries_en || code.length !== 13) {
+      throw new InvalidData("Invalid data");
+    }
+
+    return new OpenFoodFactsData(code, countries_en);
+  }
+
+  asData(openData: OpenFoodFactsData): any {
+    return {
+      "Barcode (EAN 13)": openData.barcode_ean_13,
+      Country: openData.country,
+    };
   }
 }
 

src/services/data/WorldCitiesData.ts

@@ -1,19 +1,44 @@
-import { Data } from "./";
+import { Data, InvalidData } from "./";
+import { Column, Entity, PrimaryGeneratedColumn } from "typeorm";
 
-type RawSmolaData = {
+type RawWorldCitiesData = {
   name: string;
   country: string;
   subcountry: string;
   geonameid: string;
 };
 
+@Entity()
 class WorldCitiesData implements Data {
-  input: string[];
+  @PrimaryGeneratedColumn({
-  output: string[];
+    type: "integer",
+  })
+  id?: number;
 
-  constructor({ geonameid, country }: RawSmolaData) {
+  @Column()
-    this.input = [geonameid];
+  geoname_id: string;
-    this.output = [country];
+
+  @Column()
+  country: string;
+
+  constructor(geonameId: string, country: string) {
+    this.geoname_id = geonameId;
+    this.country = country;
+  }
+
+  fromRaw({ geonameid, country }: RawWorldCitiesData): WorldCitiesData {
+    if (!geonameid || !country || geonameid.length !== 6) {
+      throw new InvalidData("Invalid data");
+    }
+
+    return new WorldCitiesData(geonameid, country);
+  }
+
+  asData(worldCitiesData: WorldCitiesData): any {
+    return {
+      "Geoname ID": worldCitiesData.geoname_id,
+      Country: worldCitiesData.country,
+    };
   }
 }
 

src/services/data/index.ts

@@ -1,4 +1,4 @@
-export { default as Data, DataConstructor } from "./Data";
+export { default as Data, InvalidData } from "./Data";
 
 export { default as NudgerData } from "./NudgerData";
 export { default as OpenFoodFactsData } from "./OpenFoodFactsData";

src/services/dataset/Dataset.ts

@@ -1,18 +1,19 @@
-import { pipeline, Transform } from "node:stream";
+import { pipeline, Transform, Writable } from "node:stream";
 import { promisify } from "node:util";
-import * as fs from "node:fs";
+import { Validator } from "jsonschema";
-import * as readline from "node:readline";
 
-import CacheService from "../CacheService";
 import FileService from "../FileService";
 
 import { ArchiveFactory, ArchiveType } from "../archive";
 import { ParserFactory, ParserType } from "../parser";
-import { Data, DataConstructor } from "../data";
+import { Data, InvalidData} from "../data";
+import { AppDataSource } from "../../AppDataSource";
+import { EntityManager, EntityTarget, Repository } from "typeorm";
 
 type DatasetParams = {
   id: string;
-  dataType: DataConstructor<Data>;
+  dataConstructor: (params: any) => Data;
+  dataType: Data;
   source: string;
   file: string;
   archiveType: ArchiveType;
@@ -27,14 +28,14 @@ type DatasetOptions = {
 /**
  * Represents a dataset that can be loaded and queried
  */
-class Dataset {
+class Dataset<D extends Data> {
   readonly id: string;
   readonly source: string;
   readonly file: string;
   readonly archiveType: ArchiveType;
   readonly parserType: ParserType;
-  readonly cachePath: string;
+  readonly dataConstructor: (params: any) => Data;
-  private dataType: DataConstructor<Data>;
+  readonly dataType: Data;
   private options?: DatasetOptions;
 
   /**
@@ -44,27 +45,28 @@ class Dataset {
    * @param file - The name of the file in the archive
    * @param dataType - The constructor of the data class
    * @param archiveType - The type of the archive
-   * @param datasetType - The type of the dataset
+   * @param dataConstructor - The type of the dataset
+   * @param parserType
    * @param options - Additional options for the dataset
    */
   constructor({
     id,
     source,
     file,
+    dataConstructor,
     dataType,
     archiveType,
     parserType,
     options,
   }: DatasetParams) {
     this.id = id;
-    this.dataType = dataType;
+    this.dataConstructor = dataConstructor;
     this.source = source;
     this.file = file;
+    this.dataType = dataType;
     this.archiveType = archiveType;
     this.parserType = parserType;
     this.options = options;
-
-    this.cachePath = CacheService.getCachePath(this.source, ".json");
   }
 
   /**
@@ -73,10 +75,12 @@ class Dataset {
    * @throws {Error} - If the dataset cannot be loaded
    */
   public async load(): Promise<void> {
-    if (CacheService.isCached(this.source, ".json")) {
+    // const repository: Repository<T> = AppDataSource.getRepository<T>(Data);
-      console.log(`Already cached: ${this.source}`);
+
-      return;
+    // if ((await repository.count()) > 0) {
-    }
+    //   console.log(`Already cached: ${this.source}`);
+    //   return;
+    // }
 
     const archive = ArchiveFactory.getArchive(this.archiveType);
     const parser = ParserFactory.getParser(this.parserType);
@@ -84,31 +88,47 @@ class Dataset {
     const pipelineAsync = promisify(pipeline);
 
     console.log(`Download: ${this.source}`);
+
+    // Start transaction
+    await AppDataSource.manager.transaction(async (manager) => {
       await pipelineAsync(
         await FileService.getFileStream(this.source),
         archive.extract(this.file),
         parser.parse(this.options?.parser),
-      Dataset.transformToData(this.dataType),
+        Dataset.transformToData(this.dataConstructor, manager),
-      FileService.createWriteStream(this.cachePath)
+        new Writable({
+          objectMode: true,
+          write(chunk, _, callback) {
+            callback();
+          },
+        })
       )
         .then(() => {
           console.log(`Loaded: ${this.source}`);
         })
         .catch((err) => {
           console.error(`Failed to load dataset: ${this.source}`);
-        FileService.deleteFile(this.cachePath);
           throw err;
         });
+    });
   }
 
-  private static transformToData(dataType: DataConstructor<Data>): Transform {
+  private static transformToData(
+    dataType: (params: any) => Data,
+    manager: EntityManager
+  ): Transform {
     return new Transform({
       objectMode: true,
-      transform(chunk: object, _, callback) {
+      async transform(chunk: object, _, callback) {
-        const data: Data = new dataType(chunk);
+        try {
-        this.push(JSON.stringify(data) + "\n");
+          const data: Data = dataType(chunk);
-
+          await manager.save(data);
           callback(null, JSON.stringify(data) + "\n");
+        } catch (err: any) {
+          if (err instanceof InvalidData) {
+            callback(null, "");
+          } else callback(err);
+        }
       },
     });
   }
@@ -118,51 +138,75 @@ class Dataset {
    * @param length - The number of data entries to get (default: 10)
    * @param schema - Schema of the expected data returned
    */
-  public get(
+  public async get(length: number = 10, schema: {}): Promise<any[]> {
-    length: number = 10,
+    const dataRepository = AppDataSource.manager.getRepository<T>(
-    schema: { input: string[] | undefined; output: string[] | undefined }
+      this.dataType as EntityTarget<T>
-  ): Promise<any[]> {
+    );
+
+    const datas = await dataRepository
+      .createQueryBuilder("data")
+      .orderBy("RAND()") // Fonction RAND() pour randomiser l'ordre
+      .limit(length) // Limiter le nombre de résultats
+      .getMany();
+
     return new Promise((resolve, reject) => {
       let count: number = 0;
-      const results: any[] = [];
+      const results: Data[] = [];
+      const validator = new Validator();
 
-      const stream = fs.createReadStream(this.cachePath, { encoding: "utf8" });
+      datas.forEach((data) => {
-      const rl = readline.createInterface({
+        let randomizedData = D.fromRaw(data);
-        input: stream,
+          // this.dataConstructor(data);
-        crlfDelay: Infinity,
-      });
 
-      rl.on("line", (line) => {
+        if (validator.validate(randomizedData, schema)) {
-        if (count < length) {
+          results.push(randomizedData);
-          const data: Data = JSON.parse(line) as Data;
-
-          // Create an object with the input and output values according to the schema
-          const obj: any = {};
-          schema.input?.forEach((input: string, index: number) => {
-            obj[input] = data.input[index];
-          });
-          schema.output?.forEach((output, index) => {
-            obj[output] = data.output[index];
-          });
-
-          // Add the object to the results
-          results.push(obj);
           count++;
-        } else {
-          rl.close(); // Fermer le flux si on a atteint les n objets
         }
       });
-
+      return resolve(results);
-      // Quand le flux est terminé ou a été fermé.
-      rl.on("close", () => {
-        resolve(results); // Renvoie les n objets lus
-      });
-
-      // Gérer les erreurs du flux de lecture
-      rl.on("error", (err) => {
-        reject(err);
-      });
     });
+    //   //
+    //   //   const stream = fs.createReadStream(this.cachePath, { encoding: "utf8" });
+    //   //   const rl = readline.createInterface({
+    //   //     input: stream,
+    //   //     crlfDelay: Infinity,
+    //   //   });
+    //   //
+    //   //
+    //   //   rl.on("line", (line) => {
+    //   //     if (count < length) {
+    //   //       const data: Data = JSON.parse(line) as Data;
+    //   //       if (validator.validate(data, schema)) {
+    //   //         results.push(data);
+    //   //         count++;
+    //   //       }
+    //   //
+    //   //       // // Pour chaque objet, récupérer l'objet et vérifier que le schéma est valide
+    //   //
+    //   //       // schema.input?.forEach((input: string, index: number) => {
+    //   //       //   obj[input] = data.input[index];
+    //   //       // });
+    //   //       // schema.output?.forEach((output, index) => {
+    //   //       //   obj[output] = data.output[index];
+    //   //       // });
+    //   //
+    //   //       // // Add the object to the results
+    //   //       // count++;
+    //   //     } else {
+    //   //       rl.close(); // Fermer le flux si on a atteint les n objets
+    //   //     }
+    //   //   });
+    //   //
+    //   //   // Quand le flux est terminé ou a été fermé.
+    //   //   rl.on("close", () => {
+    //   //     resolve(results); // Renvoie les n objets lus
+    //   //   });
+    //   //
+    //   //   // Gérer les erreurs du flux de lecture
+    //   //   rl.on("error", (err) => {
+    //   //     reject(err);
+    //   //   });
+    //   // });
   }
 }
 

src/services/dataset/DatasetCollection.ts

@@ -1,44 +1,47 @@
-import { NudgerData, OpenFoodFactsData, WorldCitiesData } from "../data";
+import { Data, NudgerData, OpenFoodFactsData, WorldCitiesData } from "../data";
 import { ArchiveType } from "../archive";
 import { Dataset } from "./";
 import { ParserType } from "../parser";
 
 class DatasetCollection {
-  public static datasets: Dataset[] = [
+  public static datasets: Dataset<Data>[] = [
-    new Dataset({
+    // new Dataset({
-      id: "nudger",
+    //   id: "nudger",
-      source:
+    //   source:
-        "https://files.opendatarchives.fr/data.cquest.org/open4goods/gtin-open-data.zip",
+    //     "https://files.opendatarchives.fr/data.cquest.org/open4goods/gtin-open-data.zip",
-      file: "open4goods-full-gtin-dataset.csv",
+    //   file: "open4goods-full-gtin-dataset.csv",
-      dataType: NudgerData,
+    //   dataConstructor: NudgerData.fromRaw,
-      archiveType: ArchiveType.ZIP,
+    //   dataType: NudgerData,
-      parserType: ParserType.CSV,
+    //   archiveType: ArchiveType.ZIP,
-      options: {
+    //   parserType: ParserType.CSV,
-        parser: {
+    //   options: {
-          delimiter: ",",
+    //     parser: {
-        },
+    //       delimiter: ",",
-      },
+    //     },
-    }),
+    //   },
-    new Dataset({
+    // }),
-      id: "openfoodfacts",
+    // new Dataset({
-      source:
+    //   id: "openfoodfacts",
-        "https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv.gz",
+    //   source:
-      file: "en.openfoodfacts.org.products.csv",
+    //     "https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv.gz",
-      dataType: OpenFoodFactsData,
+    //   file: "en.openfoodfacts.org.products.csv",
-      archiveType: ArchiveType.GZIP,
+    //   dataConstructor: OpenFoodFactsData.fromRaw,
-      parserType: ParserType.CSV,
+    //   dataType: OpenFoodFactsData,
-      options: {
+    //   archiveType: ArchiveType.GZIP,
-        parser: {
+    //   parserType: ParserType.CSV,
-          delimiter: "\t",
+    //   options: {
-          quote: null,
+    //     parser: {
-        },
+    //       delimiter: "\t",
-      },
+    //       quote: null,
-    }),
+    //     },
-    new Dataset({
+    //   },
+    // }),
+    new Dataset<WorldCitiesData>({
       id: "world-cities",
       source:
         "https://raw.githubusercontent.com/datasets/world-cities/refs/heads/main/data/world-cities.csv",
       file: "world-cities.csv",
+      dataConstructor: WorldCitiesData.fromRaw,
       dataType: WorldCitiesData,
       archiveType: ArchiveType.NONE,
       parserType: ParserType.CSV,

src/services/dmn/DMN.ts

@@ -6,6 +6,8 @@ import {
   Name_of_DMN_InputClause,
   Name_of_DMN_OutputClause,
   Definitions,
+  InputClause,
+  OutputClause,
 } from "./interfaces";
 
 export class DMN {
@@ -17,18 +19,49 @@ export class DMN {
   }
 
   public static getSchema(dmnDefinitions: Definitions) {
-    const descisions: Decision[] = dmnDefinitions.drgElement.filter((element) =>
+    const { inputs, outputs } = this.getInputOutput(dmnDefinitions);
+    const properties = this.getProperties(inputs || [], outputs || []);
+
+    return {
+      type: "object",
+      properties,
+      required: Object.keys(properties),
+    };
+  }
+
+  private static getInputOutput(dmnDefinitions: Definitions) {
+    const decisions: Decision[] = dmnDefinitions.drgElement.filter((element) =>
       Is_DMN_Decision(element)
     );
-    const { input, output } = descisions
+    const { input: inputs, output: outputs } = decisions
       .map((decision) => decision.decisionLogic)
       .filter((decisionLogic) => Is_DMN_DecisionTable(decisionLogic))[0];
 
-    // TODO generate json schema
+    return { inputs, outputs };
+  }
 
-    return {
+  private static getProperties(inputs: InputClause[], outputs: OutputClause[]) {
-      input: input?.map((input) => Name_of_DMN_InputClause(input)),
+    let properties = {};
-      output: output?.map((output) => Name_of_DMN_OutputClause(output)),
+
+    inputs.forEach((input) => {
+      const name = Name_of_DMN_InputClause(input) as string;
+      const type = input.typeRef || "string";
+      // @ts-ignore
+      properties[name] = {
+        type,
       };
+    });
+
+    outputs.forEach((output) => {
+      const name = Name_of_DMN_OutputClause(output) as string;
+      const type = output.typeRef || "string";
+
+      // @ts-ignore
+      properties[name] = {
+        type,
+      };
+    });
+
+    return properties;
   }
 }