import { StudentCheckItem } from "./types";
import { useAppStore } from "@/store";
import { randomCode } from "@/utils/tool";
import axios from "axios";
import Papa from "papaparse";

const appStore = useAppStore();

export const allCheckList = async (
  params: AllCheckFilter
): Promise<StudentCheckItem[]> => {
  // if (!params.isCheck && !params.imageName) {
  //   return Promise.resolve([]);
  // }

  const fname = params.isCheck ? "check" : "success";
  const url = `${appStore.serverUrl}/${fname}.csv?${randomCode()}`;
  let students: StudentCheckItem[] = await fetchAndParseData(url);
  if (params.imageName) {
    students = students.filter((item) => item.imageName === params.imageName);
  }
  const cacheList = await fetchCacheList();
  const data = (students || []).map((item) => {
    return {
      ...item,
      checked: cacheList.includes(item.imageName),
    };
  });
  return Promise.resolve(data);
};

export const getExamNumberInfo = async (
  imageName: string
): Promise<DataCheckListResult> => {
  const url = `${appStore.serverUrl}/cache/${imageName}.csv?${randomCode()}`;
  const students = await fetchAndParseData(url).catch(() => []);
  if (!students || students.length === 0) {
    return Promise.resolve(null);
  }
  const item = students[0];
  const questions = (item.smda ? item.smda.split("|") : []).map((item) =>
    item.trim().replace(/[\.\?]/g, "")
  );
  return Promise.resolve({ ...students[0], questions });
};

export const fetchCacheList = async () => {
  try {
    const res = await axios.get(`${appStore.serverUrl}/cache/`);
    const parser = new DOMParser();
    const doc = parser.parseFromString(res.data, "text/html");
    const links = Array.from(doc.querySelectorAll("a"))
      .map((a) => a.getAttribute("href"))
      .filter((href) => href && /\/cache\/.*\.csv$/.test(href))
      .map((href) => {
        // Extract filename without extension
        const parts = href.split("/");
        const filenameWithExtension = parts[parts.length - 1];
        return filenameWithExtension.replace(".csv", "");
      });

    // console.log("缓存文件列表：", links);
    return links; // Return the extracted list
  } catch (err) {
    console.error("获取失败:", err);
  }
};

export const saveCheck = async (data: string[][], filename): Promise<any> => {
  const url = `${appStore.serverUrl}/upload?path=/cache`;
  return uploadCsvData(url, data, filename);
};

/**
 * 请求给定远程地址，获取文件流数据（CSV 或 JSON），并解析其内容。
 * @param remoteUrl 远程文件地址
 * @returns 解析后的数据
 */
export const fetchAndParseData = async (remoteUrl: string): Promise<any> => {
  try {
    const response = await axios.get(remoteUrl, {
      responseType: "text", // Fetch as text to handle both JSON and CSV
    });

    const contentType = response.headers["content-type"];
    let data;

    if (contentType && contentType.includes("application/json")) {
      // Try parsing as JSON
      try {
        data = JSON.parse(response.data);
      } catch (error) {
        console.error("Error parsing JSON:", error);
        throw new Error("Failed to parse JSON data");
      }
    } else if (contentType && contentType.includes("text/csv")) {
      // Try parsing as CSV
      return new Promise((resolve, reject) => {
        Papa.parse(response.data, {
          header: true, // Assume header row
          skipEmptyLines: true,
          complete: (results) => {
            resolve(results.data);
          },
          error: (error: any) => {
            console.error("Error parsing CSV:", error);
            reject(new Error("Failed to parse CSV data"));
          },
        });
      });
    } else {
      // Attempt to guess format or throw error
      try {
        // Try JSON first
        data = JSON.parse(response.data);
      } catch (jsonError) {
        // If JSON fails, try CSV
        return new Promise((resolve, reject) => {
          Papa.parse(response.data, {
            header: true,
            skipEmptyLines: true,
            complete: (results) => {
              if (results.errors.length > 0) {
                console.error("CSV parsing errors:", results.errors);
                // If CSV parsing also has issues, reject
                reject(
                  new Error(
                    "Failed to parse data: Unknown format or invalid content"
                  )
                );
              } else {
                resolve(results.data);
              }
            },
            error: (csvError: any) => {
              console.error("Error parsing CSV:", csvError);
              reject(
                new Error(
                  "Failed to parse data: Could not determine format or invalid content"
                )
              );
            },
          });
        });
      }
    }

    return data;
  } catch (error) {
    console.error("Error fetching or parsing data:", error);
    throw new Error("Failed to fetch or parse data from the remote URL");
  }
};

/**
 * 构建 CSV 文件内容并上传到指定 URL。
 * @param uploadUrl 上传的目标 URL
 * @param data 要转换为 CSV 并上传的数据数组
 * @param filename 上传的文件名
 * @returns 上传结果
 */
export const uploadCsvData = async (
  uploadUrl: string,
  data: string[][],
  filename: string = "upload.csv"
): Promise<any> => {
  try {
    // Convert data array to CSV string
    const csvString = Papa.unparse(data);

    // Create a Blob from the CSV string
    const blob = new Blob([csvString], { type: "text/csv;charset=utf-8;" });

    // Create FormData and append the Blob as a file
    const formData = new FormData();
    formData.append("file", blob, filename); // 'file' is a common field name for uploads, adjust if needed

    // Upload the FormData using axios
    const response = await axios.post(uploadUrl, formData, {
      headers: {
        "Content-Type": "multipart/form-data",
      },
    });

    return response.data; // Return the response from the server
  } catch (error) {
    console.error("Error building or uploading CSV data:", error);
    throw new Error("Failed to build or upload CSV data");
  }
};