/* This Source Code Form is subject to the terms of the Mozilla Public
 * License, v. 2.0. If a copy of the MPL was not distributed with this
 * file, You can obtain one at http://mozilla.org/MPL/2.0/. */

/**
 * @typedef {object} Lazy
 * @property {typeof console} console
 * @property {typeof import("../content/Utils.sys.mjs").getRuntimeWasmFilename} getRuntimeWasmFilename
 * @property {typeof import("../content/EngineProcess.sys.mjs").EngineProcess} EngineProcess
 * @property {typeof import("../../../../services/settings/remote-settings.sys.mjs").RemoteSettings} RemoteSettings
 * @property {typeof import("../../translations/actors/TranslationsParent.sys.mjs").TranslationsParent} TranslationsParent
 */

/** @type {Lazy} */
const lazy = {};

ChromeUtils.defineLazyGetter(lazy, "console", () => {
  return console.createInstance({
    maxLogLevelPref: "browser.ml.logLevel",
    prefix: "ML",
  });
});

ChromeUtils.defineESModuleGetters(lazy, {
  getRuntimeWasmFilename: "chrome://global/content/ml/Utils.sys.mjs",
  EngineProcess: "chrome://global/content/ml/EngineProcess.sys.mjs",
  RemoteSettings: "resource://services-settings/remote-settings.sys.mjs",
  TranslationsParent: "resource://gre/actors/TranslationsParent.sys.mjs",
});

const RS_RUNTIME_COLLECTION = "ml-onnx-runtime";
const RS_INFERENCE_OPTIONS_COLLECTION = "ml-inference-options";

/**
 * The ML engine is in its own content process. This actor handles the
 * marshalling of the data such as the engine payload.
 */
export class MLEngineParent extends JSWindowActorParent {
  /**
   * The RemoteSettingsClient that downloads the wasm binaries.
   *
   * @type {Record<string, RemoteSettingsClient>}
   */
  static #remoteClients = {};

  /** @type {Promise<WasmRecord> | null} */
  static #wasmRecord = null;

  /**
   * The following constant controls the major version for wasm downloaded from
   * Remote Settings. When a breaking change is introduced, Nightly will have these
   * numbers incremented by one, but Beta and Release will still be on the previous
   * version. Remote Settings will ship both versions of the records, and the latest
   * asset released in that version will be used. For instance, with a major version
   * of "1", assets can be downloaded for "1.0", "1.2", "1.3beta", but assets marked
   * as "2.0", "2.1", etc will not be downloaded.
   */
  static WASM_MAJOR_VERSION = 1;

  /**
   * Remote settings isn't available in tests, so provide mocked responses.
   *
   * @param {RemoteSettingsClient} remoteClients
   */
  static mockRemoteSettings(remoteClients) {
    lazy.console.log("Mocking remote settings in MLEngineParent.");
    MLEngineParent.#remoteClients = remoteClients;
    MLEngineParent.#wasmRecord = null;
  }

  /**
   * Remove anything that could have been mocked.
   */
  static removeMocks() {
    lazy.console.log("Removing mocked remote client in MLEngineParent.");
    MLEngineParent.#remoteClients = {};
    MLEngineParent.#wasmRecord = null;
  }

  /** Creates a new MLEngine.
   *
   * @param {PipelineOptions} pipelineOptions
   * @returns {MLEngine}
   */
  getEngine(pipelineOptions) {
    return new MLEngine({ mlEngineParent: this, pipelineOptions });
  }

  /** Extracts the task name from the name and validates it.
   *
   * Throws an exception if the task name is invalid.
   *
   * @param {string} name
   * @returns {string}
   */
  nameToTaskName(name) {
    // Extract taskName after the specific prefix
    const taskName = name.split("MLEngine:GetInferenceOptions:")[1];

    // Define a regular expression to verify taskName pattern (alphanumeric and underscores/dashes)
    const validTaskNamePattern = /^[a-zA-Z0-9_\-]+$/;

    // Check if taskName matches the pattern
    if (!validTaskNamePattern.test(taskName)) {
      // Handle invalid taskName, e.g., throw an error or return null
      throw new Error(
        "Invalid task name. Task name should contain only alphanumeric characters and underscores/dashes."
      );
    }
    return taskName;
  }

  // eslint-disable-next-line consistent-return
  async receiveMessage({ name }) {
    if (name.startsWith("MLEngine:GetInferenceOptions")) {
      return MLEngineParent.getInferenceOptions(this.nameToTaskName(name));
    }

    switch (name) {
      case "MLEngine:Ready":
        if (lazy.EngineProcess.resolveMLEngineParent) {
          lazy.EngineProcess.resolveMLEngineParent(this);
        } else {
          lazy.console.error(
            "Expected #resolveMLEngineParent to exist when then ML Engine is ready."
          );
        }
        break;
      case "MLEngine:GetWasmArrayBuffer":
        return MLEngineParent.getWasmArrayBuffer();
      case "MLEngine:DestroyEngineProcess":
        lazy.EngineProcess.destroyMLEngine().catch(error =>
          console.error(error)
        );
        break;
    }
  }

  /** Gets the wasm file from remote settings.
   *
   * @param {RemoteSettingsClient} client
   */
  static async #getWasmArrayRecord(client) {
    const wasmFilename = lazy.getRuntimeWasmFilename(this.browsingContext);

    /** @type {WasmRecord[]} */
    const wasmRecords = await lazy.TranslationsParent.getMaxVersionRecords(
      client,
      {
        filters: { name: wasmFilename },
        majorVersion: MLEngineParent.WASM_MAJOR_VERSION,
      }
    );

    if (wasmRecords.length === 0) {
      // The remote settings client provides an empty list of records when there is
      // an error.
      throw new Error("Unable to get the ML engine from Remote Settings.");
    }

    if (wasmRecords.length > 1) {
      MLEngineParent.reportError(
        new Error("Expected the ml engine to only have 1 record."),
        wasmRecords
      );
    }
    const [record] = wasmRecords;
    lazy.console.log(`Using runtime ${record.name}@${record.version}`, record);
    return record;
  }

  /** Gets the inference options from remote settings given a task name.
   *
   * @type {string} taskName - name of the inference :wtask
   * @returns {Promise<ModelRevisionRecord>}
   */
  static async getInferenceOptions(taskName) {
    const client = MLEngineParent.#getRemoteClient(
      RS_INFERENCE_OPTIONS_COLLECTION
    );
    const records = await client.get({
      filters: {
        taskName,
      },
    });

    if (records.length === 0) {
      throw new Error(`No inference options found for task ${taskName}`);
    }
    const options = records[0];
    return {
      modelRevision: options.modelRevision,
      modelId: options.modelId,
      tokenizerRevision: options.tokenizerRevision,
      tokenizerId: options.tokenizerId,
      processorRevision: options.processorRevision,
      processorId: options.processorId,
      runtimeFilename: lazy.getRuntimeWasmFilename(this.browsingContext),
    };
  }

  /**
   * Download the wasm for the ML inference engine.
   *
   * @returns {Promise<ArrayBuffer>}
   */
  static async getWasmArrayBuffer() {
    const client = MLEngineParent.#getRemoteClient(RS_RUNTIME_COLLECTION);

    if (!MLEngineParent.#wasmRecord) {
      // Place the records into a promise to prevent any races.
      MLEngineParent.#wasmRecord = MLEngineParent.#getWasmArrayRecord(client);
    }

    let wasmRecord;
    try {
      wasmRecord = await MLEngineParent.#wasmRecord;
      if (!wasmRecord) {
        return Promise.reject(
          "Error: Unable to get the ML engine from Remote Settings."
        );
      }
    } catch (error) {
      MLEngineParent.#wasmRecord = null;
      throw error;
    }

    /** @type {{buffer: ArrayBuffer}} */
    const { buffer } = await client.attachments.download(wasmRecord);

    return buffer;
  }

  /**
   * Lazily initializes the RemoteSettingsClient for the downloaded wasm binary data.
   *
   * @param {string} collectionName - The name of the collection to use.
   * @returns {RemoteSettingsClient}
   */
  static #getRemoteClient(collectionName) {
    if (MLEngineParent.#remoteClients[collectionName]) {
      return MLEngineParent.#remoteClients[collectionName];
    }

    /** @type {RemoteSettingsClient} */
    const client = lazy.RemoteSettings(collectionName, {
      bucketName: "main",
    });

    MLEngineParent.#remoteClients[collectionName] = client;

    client.on("sync", async ({ data: { created, updated, deleted } }) => {
      lazy.console.log(`"sync" event for ${collectionName}`, {
        created,
        updated,
        deleted,
      });

      // Remove all the deleted records.
      for (const record of deleted) {
        await client.attachments.deleteDownloaded(record);
      }

      // Remove any updated records, and download the new ones.
      for (const { old: oldRecord } of updated) {
        await client.attachments.deleteDownloaded(oldRecord);
      }

      // Do nothing for the created records.
    });

    return client;
  }

  /**
   * Send a message to gracefully shutdown all of the ML engines in the engine process.
   * This mostly exists for testing the shutdown paths of the code.
   */
  forceShutdown() {
    return this.sendQuery("MLEngine:ForceShutdown");
  }
}

/**
 * The interface to communicate to an MLEngine in the parent process. The engine manages
 * its own lifetime, and is kept alive with a timeout. A reference to this engine can
 * be retained, but once idle, the engine will be destroyed. If a new request to run
 * is sent, the engine will be recreated on demand. This balances the cost of retaining
 * potentially large amounts of memory to run models, with the speed and ease of running
 * the engine.
 *
 * @template Request
 * @template Response
 */
class MLEngine {
  /**
   * @type {MessagePort | null}
   */
  #port = null;

  #nextRequestId = 0;

  /**
   * Tie together a message id to a resolved response.
   *
   * @type {Map<number, PromiseWithResolvers<Request>>}
   */
  #requests = new Map();

  /**
   * @type {"uninitialized" | "ready" | "error" | "closed"}
   */
  engineStatus = "uninitialized";

  /**
   * @param {object} config - The configuration object for the instance.
   * @param {object} config.mlEngineParent - The parent machine learning engine associated with this instance.
   * @param {object} config.pipelineOptions - The options for configuring the pipeline associated with this instance.
   */
  constructor({ mlEngineParent, pipelineOptions }) {
    this.mlEngineParent = mlEngineParent;
    this.pipelineOptions = pipelineOptions;
    this.#setupPortCommunication();
  }

  /**
   * Create a MessageChannel to communicate with the engine directly.
   */
  #setupPortCommunication() {
    const { port1: childPort, port2: parentPort } = new MessageChannel();
    const transferables = [childPort];
    this.#port = parentPort;
    this.#port.onmessage = this.handlePortMessage;
    this.mlEngineParent.sendAsyncMessage(
      "MLEngine:NewPort",
      {
        port: childPort,
        pipelineOptions: this.pipelineOptions.getOptions(),
      },
      transferables
    );
  }

  handlePortMessage = ({ data }) => {
    switch (data.type) {
      case "EnginePort:ModelRequest": {
        if (this.#port) {
          this.getModel().then(
            model => {
              this.#port.postMessage({
                type: "EnginePort:ModelResponse",
                model,
                error: null,
              });
            },
            error => {
              this.#port.postMessage({
                type: "EnginePort:ModelResponse",
                model: null,
                error,
              });
              if (
                // Ignore intentional errors in tests.
                !error?.message.startsWith("Intentionally")
              ) {
                lazy.console.error("Failed to get the model", error);
              }
            }
          );
        } else {
          lazy.console.error(
            "Expected a port to exist during the EnginePort:GetModel event"
          );
        }
        break;
      }
      case "EnginePort:RunResponse": {
        const { response, error, requestId } = data;
        const request = this.#requests.get(requestId);
        if (request) {
          if (response) {
            request.resolve(response);
          } else {
            request.reject(error);
          }
        } else {
          lazy.console.error(
            "Could not resolve response in the MLEngineParent",
            data
          );
        }
        this.#requests.delete(requestId);
        break;
      }
      case "EnginePort:EngineTerminated": {
        // The engine was terminated, and if a new run is needed a new port
        // will need to be requested.
        this.engineStatus = "closed";
        this.discardPort();
        break;
      }
      default:
        lazy.console.error("Unknown port message from engine", data);
        break;
    }
  };

  discardPort() {
    if (this.#port) {
      this.#port.postMessage({ type: "EnginePort:Discard" });
      this.#port.close();
      this.#port = null;
    }
  }

  terminate() {
    this.#port.postMessage({ type: "EnginePort:Terminate" });
  }

  /**
   * @param {Request} request
   * @returns {Promise<Response>}
   */
  run(request) {
    const resolvers = Promise.withResolvers();
    const requestId = this.#nextRequestId++;
    this.#requests.set(requestId, resolvers);

    let transferables = [];
    if (request.data instanceof ArrayBuffer) {
      transferables.push(request.data);
    }

    this.#port.postMessage(
      {
        type: "EnginePort:Run",
        requestId,
        request,
      },
      transferables
    );
    return resolvers.promise;
  }
}