import { Platform } from "react-native";
import * as FileSystem from "expo-file-system";
import { File, Paths } from "expo-file-system/next";
import { getDb } from "./db";
import * as Crypto from "expo-crypto";

export const WHISPER_MODEL_PATH = Paths.join(
  FileSystem.documentDirectory || "file:///",
  "whisper"
);
export const WHISPER_MODEL_DIR = new File(WHISPER_MODEL_PATH);

// Thanks to https://medium.com/@fabi.mofar/downloading-and-saving-files-in-react-native-expo-5b3499adda84

export async function saveFile(
  uri: string,
  filename: string,
  mimetype: string
) {
  if (Platform.OS === "android") {
    const permissions =
      await FileSystem.StorageAccessFramework.requestDirectoryPermissionsAsync();

    if (permissions.granted) {
      const base64 = await FileSystem.readAsStringAsync(uri, {
        encoding: FileSystem.EncodingType.Base64,
      });

      await FileSystem.StorageAccessFramework.createFileAsync(
        permissions.directoryUri,
        filename,
        mimetype
      )
        .then(async (uri) => {
          await FileSystem.writeAsStringAsync(uri, base64, {
            encoding: FileSystem.EncodingType.Base64,
          });
        })
        .catch((e) => console.log(e));
    } else {
      shareAsync(uri);
    }
  } else {
    shareAsync(uri);
  }
}

function shareAsync(uri: string) {
  throw new Error("Function not implemented.");
}

export const WHISPER_MODEL_TAGS = ["small", "medium", "large"];
export type whisper_model_tag_t = "small" | "medium" | "large";

export const WHISPER_MODELS = {
  small: {
    source:
      "https://huggingface.co/openai/whisper-small/blob/resolve/pytorch_model.bin",
    target: "small.bin",
    label: "Small",
    size: 967092419,
  },
  medium: {
    source:
      "https://huggingface.co/openai/whisper-medium/resolve/main/pytorch_model.bin",
    target: "medium.bin",
    label: "Medium",
    size: 3055735323,
  },
  large: {
    source:
      "https://huggingface.co/openai/whisper-large/resolve/main/pytorch_model.bin",
    target: "large.bin",
    label: "Large",
    size: 6173629930,
  },
} as {
  [key:whisper_model_tag_t]: {
    source: string;
    target: string;
    label: string;
    size: number;
  };
};

export type whisper_tag_t = "small" | "medium" | "large";
export type hf_channel_t = "raw" | "resolve";

export const HF_URL_BASE = "https://huggingface.co/openai/whisper-";
export const HF_URL_RAW = "raw";
export const HF_URL_RESOLVE = "resolve";
export const HF_URL_END = "/main/pytorch_model.bin";

export function create_hf_url(tag: whisper_tag_t, channel: hf_channel_t) {
  return `${HF_URL_BASE}${tag}/${channel}${HF_URL_END}`;
}

export type hf_metadata_t = {
  version: string;
  oid: string;
  size: string;
};

export type download_status_t = {
  doesTargetExist: boolean;
  isDownloadComplete: boolean;
  hasDownloadStarted: boolean;
  progress?: {
    current: number;
    total: number;
    remaining: number;
    percentRemaining: number;
  };
};

export class WhisperFile {
  constructor(
    public tag: whisper_model_tag_t,
    private targetFileName?: string,
    public label?: string,
    public size?: number
  ) {
    this.targetFileName = this.targetFileName || `${tag}.bin`;
    this.label =
      this.label || `${tag[0].toUpperCase}${tag.substring(1).toLowerCase()}`;
  }

  get targetPath() {
    return Paths.join(WHISPER_MODEL_DIR, this.targetFileName as string);
  }

  get targetFile() {
    return new File(this.targetPath);
  }

  async getTargetInfo() {
    return await FileSystem.getInfoAsync(this.targetPath);
  }

  async doesTargetExist() {
    return (await this.getTargetInfo()).exists;
  }

  public async recordLatestTargetHash() {
    if (!(await this.doesTargetExist())) {
      console.debug("%s does not exist", this.targetPath);
    }
    const digest1Str = await this.getActualTargetHash();
    if (!digest1Str) {
      return;
    }
    const db = await getDb();
    await db("whisper_models")
      .upsert({
        model: this.tag,
        last_hash: digest1Str,
      })
      .where({ model: this.tag });
  }

  public async getRecordedTargetHash(): Promise<string> {
    const db = await getDb();
    const row = await db("whisper_models").select("last_hash").where({
      model: this.tag,
    }).first();
    return row["last_hash"]
  }

  public async getActualTargetHash(): Promise<string | undefined> {
    if (!(await this.doesTargetExist())) {
      console.debug("%s does not exist", this.targetPath);
      return undefined;
    }
    const digest1 = await Crypto.digest(
      Crypto.CryptoDigestAlgorithm.SHA256,
      this.targetFile.bytes()
    );
    const digest1Str = new TextDecoder().decode(new Uint8Array(digest1));
    return digest1Str;
  }

  async isTargetCorrupted() {
    const recordedTargetHash = await this.getRecordedTargetHash();
    const actualTargetHash = await this.getActualTargetHash();
    if (!(actualTargetHash || recordedTargetHash)) return false;
    return actualTargetHash !== recordedTargetHash;
  }

  async isDownloadComplete() {
    if (!(await this.doesTargetExist())) {
      console.debug("%s does not exist", this.targetPath);
      return false;
    }
    const data = this.targetFile.bytes();
    const meta = await this.fetchMetadata();
    const expectedHash = meta.oid;
    const digest1: ArrayBuffer = await Crypto.digest(
      Crypto.CryptoDigestAlgorithm.SHA256,
      data
    );
    const digest1Str = new TextDecoder().decode(new Uint8Array(digest1));
    const doesMatch = digest1Str === expectedHash;
    if (!doesMatch) {
      console.debug(
        "sha256 of '%s' does not match expected '%s'",
        digest1Str,
        expectedHash
      );
      return false;
    }
    return true;
  }

  delete(ignoreErrors = true) {
    try {
      this.targetFile.delete();
    } catch (err) {
      console.error(err);
      if (!ignoreErrors) {
        throw err;
      }
    }
    console.debug("Created %s", WHISPER_MODEL_DIR);
  }

  get modelUrl() {
    return create_hf_url(this.tag, "resolve");
  }

  get metadataUrl() {
    return create_hf_url(this.tag, "raw");
  }

  private async fetchMetadata(): Promise<hf_metadata_t> {
    try {
      const resp = await fetch(this.metadataUrl, {
        credentials: "include",
        headers: {
          "User-Agent":
            "Mozilla/5.0 (X11; Linux x86_64; rv:135.0) Gecko/20100101 Firefox/135.0",
          Accept:
            "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
          "Accept-Language": "en-US,en;q=0.5",
          "Sec-GPC": "1",
          "Upgrade-Insecure-Requests": "1",
          "Sec-Fetch-Dest": "document",
          "Sec-Fetch-Mode": "navigate",
          "Sec-Fetch-Site": "cross-site",
          "If-None-Match": '"8fa71cbce85078986b46fb97caec22039e73351a"',
          Priority: "u=0, i",
        },
        method: "GET",
        mode: "cors",
      });
      const text = await resp.text();
      return Object.fromEntries(
        text.split("\n").map((line) => line.split(" "))
      ) as hf_metadata_t;
    } catch (err) {
      console.error("Failed to fetch %s: %s", this.metadataUrl, err);
      throw err;
    }
  }

  async updateMetadata() {
    const metadata = await this.fetchMetadata();
    this.size = Number.parseInt(metadata.size);
  }

  async addToDatabase() {
    const db = await getDb();
    await db("whisper_models").upsert({
      model: this.tag,
      expected_size: this.size,
    }).where({
      model: this.tag,
    });
  }

  async createDownloadResumable(
    options: {
      onData?: DownloadCallback | undefined;
    } = {
      onData: undefined,
    }
  ) {
    const existingData = (await this.doesTargetExist())
      ? this.targetFile.text()
      : undefined;

    if (await this.doesTargetExist()) {
    }

    return FileSystem.createDownloadResumable(
      this.modelUrl,
      this.targetPath,
      {},
      async (data: FileSystem.DownloadProgressData) => {
        const db = await getDb();
        await db.upsert({
          model: this.tag,
          download_status: "active",
        })
        await this.recordLatestTargetHash();
        if (options.onData) await options.onData(data);
      },
      existingData ? existingData : undefined
    );
  }

  async getDownloadStatus() : Promise<download_status_t> {
    const doesTargetExist = await this.doesTargetExist();
    const isDownloadComplete = await this.isDownloadComplete();
    const hasDownloadStarted = doesTargetExist && !isDownloadComplete;

    if (!this.size) {
      return {
        doesTargetExist: false,
        isDownloadComplete: false,
        hasDownloadStarted: false,
        progress: undefined,
      }
    }

    const remaining = hasDownloadStarted
      ? this.size - (this.targetFile.size as number)
      : 0;

    const progress = hasDownloadStarted
      ? {
          current: this.targetFile.size || 0,
          total: this.size,
          remaining: this.size - (this.targetFile.size as number),
          percentRemaining: (remaining / this.size) * 100.0,
        }
      : undefined;

    return {
      doesTargetExist,
      isDownloadComplete,
      hasDownloadStarted,
      progress,
    };
  }
}


export type DownloadCallback = (arg0: FileSystem.DownloadProgressData) => any;