mirror of
https://github.com/shafat-96/anicrush-api.git
synced 2026-04-17 15:51:44 +00:00
dix
This commit is contained in:
shafat420
114
mapper.js
114
mapper.js
@@ -1,73 +1,33 @@
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const axios = require('axios');
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// Common headers for API requests
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const getCommonHeaders = () => ({
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'Accept': 'application/json, text/plain, */*',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36',
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'x-site': 'anicrush',
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'Referer': 'https://anicrush.to/',
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'Origin': 'https://anicrush.to',
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'sec-fetch-site': 'same-site',
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'sec-fetch-mode': 'cors',
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'sec-fetch-dest': 'empty'
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});
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// Minimal GraphQL query for AniList (title, format, year only)
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const ANILIST_QUERY = `
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query ($id: Int) {
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Media(id: $id, type: ANIME) {
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id
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title {
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romaji
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english
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native
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}
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synonyms
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format
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seasonYear
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}
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}`;
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// Function to calculate string similarity using Levenshtein distance
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function calculateLevenshteinSimilarity(str1, str2) {
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if (!str1 || !str2) return 0;
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str1 = str1.toLowerCase();
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str2 = str2.toLowerCase();
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const matrix = Array(str2.length + 1).fill(null)
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.map(() => Array(str1.length + 1).fill(null));
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const axios = require('axios');
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const stringSimilarity = require('string-similarity');
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for (let i = 0; i <= str1.length; i++) matrix[0][i] = i;
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for (let j = 0; j <= str2.length; j++) matrix[j][0] = j;
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// Common headers for API requests
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const getCommonHeaders = () => ({
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'Accept': 'application/json, text/plain, */*',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36',
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'x-site': 'anicrush',
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'Referer': 'https://anicrush.to/',
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'Origin': 'https://anicrush.to',
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'sec-fetch-site': 'same-site',
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'sec-fetch-mode': 'cors',
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'sec-fetch-dest': 'empty'
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});
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for (let j = 1; j <= str2.length; j++) {
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for (let i = 1; i <= str1.length; i++) {
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const indicator = str1[i - 1] === str2[j - 1] ? 0 : 1;
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matrix[j][i] = Math.min(
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matrix[j][i - 1] + 1,
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matrix[j - 1][i] + 1,
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matrix[j - 1][i - 1] + indicator
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);
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}
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// Minimal GraphQL query for AniList (title, format, year only)
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const ANILIST_QUERY = `
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query ($id: Int) {
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Media(id: $id, type: ANIME) {
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id
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title {
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romaji
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english
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native
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}
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const maxLength = Math.max(str1.length, str2.length);
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if (maxLength === 0) return 100;
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return ((maxLength - matrix[str2.length][str1.length]) / maxLength) * 100;
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}
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// Function to calculate word-based similarity
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function calculateWordSimilarity(str1, str2) {
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if (!str1 || !str2) return 0;
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const words1 = str1.toLowerCase().split(/\s+/).filter(Boolean);
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const words2 = str2.toLowerCase().split(/\s+/).filter(Boolean);
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const commonWords = words1.filter(word => words2.includes(word));
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const totalUniqueWords = new Set([...words1, ...words2]).size;
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return (commonWords.length / totalUniqueWords) * 100;
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}
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synonyms
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format
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seasonYear
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}
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}`;
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// Function to normalize title for comparison
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function normalizeTitle(title) {
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@@ -177,13 +137,13 @@ async function getEpisodeList(movieId) {
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}
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}
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// Function to calculate overall similarity between titles
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// Function to calculate similarity between titles using string-similarity library
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function calculateTitleSimilarity(title1, title2) {
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const levenshteinSim = calculateLevenshteinSimilarity(title1, title2);
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const wordSim = calculateWordSimilarity(title1, title2);
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// Weight the similarities (favoring word-based matching for titles)
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return (levenshteinSim * 0.4) + (wordSim * 0.6);
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if (!title1 || !title2) return 0;
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return stringSimilarity.compareTwoStrings(
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title1.toLowerCase(),
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title2.toLowerCase()
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) * 100; // Convert to percentage
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}
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// Function to find best match between AniList and anicrush results
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@@ -217,11 +177,13 @@ function findBestMatch(anilistData, anicrushResults) {
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typePenalty = 15; // small penalty instead of skip
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}
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const resultTitles = [result.name, result.name_english].filter(Boolean).map(normalizeTitle);
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const resultTitles = [result.name, result.name_english].filter(Boolean);
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for (const aTitle of anilistTitles) {
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for (const rTitle of resultTitles) {
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const score = calculateTitleSimilarity(aTitle, rTitle);
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const similarity = calculateTitleSimilarity(aTitle, rTitle);
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const score = Math.max(0, similarity - typePenalty);
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if (score > highestScore) {
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highestScore = score;
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bestMatch = result;
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@@ -230,7 +192,7 @@ function findBestMatch(anilistData, anicrushResults) {
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}
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}
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return highestScore >= 25 ? bestMatch : null; // accept if 25%+ similarity
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return highestScore >= 60 ? bestMatch : null; // Increased threshold to 60% for better accuracy
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}
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// Alias for compatibility
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10
package-lock.json
generated
10
package-lock.json
generated
@@ -13,7 +13,8 @@
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"cors": "^2.8.5",
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"crypto": "^1.0.1",
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"dotenv": "^16.3.1",
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"express": "^4.18.2"
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"express": "^4.18.2",
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"string-similarity": "^4.0.4"
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},
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"devDependencies": {
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"nodemon": "^3.0.2"
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@@ -1530,6 +1531,13 @@
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"node": ">= 0.8"
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}
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},
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"node_modules/string-similarity": {
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"version": "4.0.4",
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"resolved": "https://registry.npmjs.org/string-similarity/-/string-similarity-4.0.4.tgz",
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"integrity": "sha512-/q/8Q4Bl4ZKAPjj8WerIBJWALKkaPRfrvhfF8k/B23i4nzrlRj2/go1m90In7nG/3XDSbOo0+pu6RvCTM9RGMQ==",
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"deprecated": "Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.",
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"license": "ISC"
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},
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"node_modules/supports-color": {
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"version": "5.5.0",
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"resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
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@@ -17,7 +17,8 @@
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"cors": "^2.8.5",
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"crypto": "^1.0.1",
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"dotenv": "^16.3.1",
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"express": "^4.18.2"
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"express": "^4.18.2",
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"string-similarity": "^4.0.4"
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},
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"devDependencies": {
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"nodemon": "^3.0.2"
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