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feat: created endpoints to fetch categories
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NEXT_PUBLIC_SITE_URL = xxxxxxxxxxxxxxxxxxxxxxx | ||
OPENAI_API_KEY="xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" | ||
OPENAI_ORGANIZATION="xxxxxxx" | ||
PINECONE_API_KEY="xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" | ||
PINECONE_ENVIRONMENT="xxxxxxxxxxxx" | ||
PINECONE_INDEX_NAME="xxxx" |
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. | ||
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# dependencies | ||
/node_modules | ||
/.pnp | ||
.pnp.js | ||
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# testing | ||
/coverage | ||
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# next.js | ||
/.next/ | ||
/out/ | ||
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# production | ||
/build | ||
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||
# misc | ||
.DS_Store | ||
*.pem | ||
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||
# debug | ||
npm-debug.log* | ||
yarn-debug.log* | ||
yarn-error.log* | ||
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||
# local env files | ||
.env*.local | ||
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# vercel | ||
.vercel | ||
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# typescript | ||
*.tsbuildinfo | ||
next-env.d.ts | ||
node_modules | ||
.env | ||
static |
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.yarn | ||
.next | ||
dist | ||
node_modules | ||
package.json | ||
.github | ||
public/assets | ||
.github |
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"use strict"; | ||
var __importDefault = (this && this.__importDefault) || function (mod) { | ||
return (mod && mod.__esModule) ? mod : { "default": mod }; | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
exports.env = void 0; | ||
var env_nextjs_1 = require("@t3-oss/env-nextjs"); | ||
var zod_1 = require("zod"); | ||
var dotenv_1 = __importDefault(require("dotenv")); | ||
dotenv_1.default.config(); | ||
exports.env = (0, env_nextjs_1.createEnv)({ | ||
server: { | ||
OPENAI_API_KEY: zod_1.z.string().nonempty(), | ||
PINECONE_API_KEY: zod_1.z.string().nonempty(), | ||
PINECONE_ENVIRONMENT: zod_1.z.string().nonempty(), | ||
PINECONE_INDEX_NAME: zod_1.z.string().nonempty(), | ||
OPENAI_ORGANIZATION: zod_1.z.string().nonempty(), | ||
PORT: zod_1.z.string().nonempty().default("6006"), | ||
}, | ||
client: {}, | ||
runtimeEnv: { | ||
OPENAI_API_KEY: process.env.OPENAI_API_KEY, | ||
OPENAI_ORGANIZATION: process.env.OPENAI_ORGANIZATION, | ||
PINECONE_API_KEY: process.env.PINECONE_API_KEY, | ||
PINECONE_ENVIRONMENT: process.env.PINECONE_ENVIRONMENT, | ||
PINECONE_INDEX_NAME: process.env.PINECONE_INDEX_NAME, | ||
PORT: process.env.PORT, | ||
} | ||
}); |
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"use strict"; | ||
var __spreadArray = (this && this.__spreadArray) || function (to, from, pack) { | ||
if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) { | ||
if (ar || !(i in from)) { | ||
if (!ar) ar = Array.prototype.slice.call(from, 0, i); | ||
ar[i] = from[i]; | ||
} | ||
} | ||
return to.concat(ar || Array.prototype.slice.call(from)); | ||
}; | ||
var __importDefault = (this && this.__importDefault) || function (mod) { | ||
return (mod && mod.__esModule) ? mod : { "default": mod }; | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
var express_1 = __importDefault(require("express")); | ||
var env_1 = require("./env"); | ||
var routes_1 = __importDefault(require("./routes")); | ||
var app = (0, express_1.default)(); | ||
app.use(express_1.default.json()); | ||
routes_1.default.forEach(function (route) { | ||
app[route.method].apply(app, __spreadArray(__spreadArray([route.path], route.middlewares, false), [route.handler], false)); | ||
}); | ||
app.listen(env_1.env.PORT, function () { | ||
console.log("Server running on port ".concat(env_1.env.PORT)); | ||
}); |
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"use strict"; | ||
var __importDefault = (this && this.__importDefault) || function (mod) { | ||
return (mod && mod.__esModule) ? mod : { "default": mod }; | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
exports.produceKeywords = exports.createEmbedding = void 0; | ||
var env_1 = require("../../env"); | ||
var node_fetch_1 = __importDefault(require("node-fetch")); | ||
var createEmbedding = function (_a) { | ||
var input = _a.input; | ||
var raw = JSON.stringify({ | ||
"model": "text-embedding-ada-002", | ||
"input": input | ||
}); | ||
return (0, node_fetch_1.default)("https://api.openai.com/v1/embeddings", { | ||
method: 'POST', | ||
headers: { | ||
"Authorization": "Bearer ".concat(env_1.env.OPENAI_API_KEY), | ||
"Content-Type": "application/json" | ||
}, | ||
body: raw, | ||
redirect: 'follow' | ||
}).then(function (response) { return response.json(); }) | ||
.catch(function (error) { return console.log('error', error); }); | ||
}; | ||
exports.createEmbedding = createEmbedding; | ||
var produceKeywords = function (_a) { | ||
var input = _a.input, lang = _a.lang, model = _a.model; | ||
var raw = JSON.stringify({ | ||
prompt: "".concat(input, "\n Extract 3-level categories from this product name FOR SHOPIFY CATEGORY TAXONOMY. Return only your output. Split levels with > character. Output language: ").concat(lang.toUpperCase()), | ||
temperature: 0.2, | ||
max_tokens: 100, | ||
top_p: 1, | ||
frequency_penalty: 0.8, | ||
presence_penalty: 0, | ||
}); | ||
return (0, node_fetch_1.default)("https://api.openai.com/v1/engines/".concat(model, "/completions"), { | ||
method: 'POST', | ||
headers: { | ||
"Authorization": "Bearer ".concat(env_1.env.OPENAI_API_KEY), | ||
"Content-Type": "application/json" | ||
}, | ||
body: raw | ||
}).then(function (response) { return response.json(); }) | ||
.catch(function (error) { return console.log('error', error); }); | ||
}; | ||
exports.produceKeywords = produceKeywords; |
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"use strict"; | ||
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { | ||
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } | ||
return new (P || (P = Promise))(function (resolve, reject) { | ||
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } | ||
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } | ||
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } | ||
step((generator = generator.apply(thisArg, _arguments || [])).next()); | ||
}); | ||
}; | ||
var __generator = (this && this.__generator) || function (thisArg, body) { | ||
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g; | ||
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g; | ||
function verb(n) { return function (v) { return step([n, v]); }; } | ||
function step(op) { | ||
if (f) throw new TypeError("Generator is already executing."); | ||
while (g && (g = 0, op[0] && (_ = 0)), _) try { | ||
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t; | ||
if (y = 0, t) op = [op[0] & 2, t.value]; | ||
switch (op[0]) { | ||
case 0: case 1: t = op; break; | ||
case 4: _.label++; return { value: op[1], done: false }; | ||
case 5: _.label++; y = op[1]; op = [0]; continue; | ||
case 7: op = _.ops.pop(); _.trys.pop(); continue; | ||
default: | ||
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; } | ||
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; } | ||
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; } | ||
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; } | ||
if (t[2]) _.ops.pop(); | ||
_.trys.pop(); continue; | ||
} | ||
op = body.call(thisArg, _); | ||
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; } | ||
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true }; | ||
} | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
exports.deleteNamespace = exports.createCategoryVector = exports.searchInVectors = void 0; | ||
var env_1 = require("../../env"); | ||
var pinecone_1 = require("@pinecone-database/pinecone"); | ||
var openai_1 = require("../openai"); | ||
var pinecone = new pinecone_1.PineconeClient(); | ||
var client = pinecone.init({ | ||
environment: env_1.env.PINECONE_ENVIRONMENT, | ||
apiKey: env_1.env.PINECONE_API_KEY | ||
}); | ||
var index = "taxonomy"; | ||
var searchInVectors = function (namespace, vector) { return __awaiter(void 0, void 0, void 0, function () { | ||
var pineconeIndex; | ||
return __generator(this, function (_a) { | ||
switch (_a.label) { | ||
case 0: return [4 /*yield*/, client]; | ||
case 1: | ||
_a.sent(); | ||
pineconeIndex = pinecone.Index(index); | ||
return [2 /*return*/, pineconeIndex.query({ | ||
queryRequest: { | ||
namespace: namespace, | ||
topK: 10, | ||
vector: vector, | ||
includeMetadata: true | ||
} | ||
})]; | ||
} | ||
}); | ||
}); }; | ||
exports.searchInVectors = searchInVectors; | ||
var createCategoryVector = function (namespace, id, name) { return __awaiter(void 0, void 0, void 0, function () { | ||
var response, upsertRequest, pineconeIndex; | ||
return __generator(this, function (_a) { | ||
switch (_a.label) { | ||
case 0: return [4 /*yield*/, client]; | ||
case 1: | ||
_a.sent(); | ||
return [4 /*yield*/, (0, openai_1.createEmbedding)({ input: name })]; | ||
case 2: | ||
response = _a.sent(); | ||
if (!(response === null || response === void 0 ? void 0 : response.data)) { | ||
return [2 /*return*/, null]; | ||
} | ||
upsertRequest = { | ||
namespace: namespace, | ||
vectors: [{ | ||
id: String(namespace + "_" + id), | ||
metadata: { | ||
id: String(id), | ||
categoryName: name | ||
}, | ||
values: response.data[0].embedding | ||
}], | ||
}; | ||
pineconeIndex = pinecone.Index(index); | ||
return [2 /*return*/, pineconeIndex.upsertRaw({ upsertRequest: upsertRequest })]; | ||
} | ||
}); | ||
}); }; | ||
exports.createCategoryVector = createCategoryVector; | ||
var deleteNamespace = function (namespace) { return __awaiter(void 0, void 0, void 0, function () { | ||
var pineconeIndex; | ||
return __generator(this, function (_a) { | ||
switch (_a.label) { | ||
case 0: return [4 /*yield*/, client]; | ||
case 1: | ||
_a.sent(); | ||
pineconeIndex = pinecone.Index(index); | ||
return [2 /*return*/, pineconeIndex.delete1({ | ||
namespace: namespace, | ||
deleteAll: true, | ||
})]; | ||
} | ||
}); | ||
}); }; | ||
exports.deleteNamespace = deleteNamespace; |
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"use strict"; | ||
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { | ||
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } | ||
return new (P || (P = Promise))(function (resolve, reject) { | ||
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } | ||
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } | ||
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } | ||
step((generator = generator.apply(thisArg, _arguments || [])).next()); | ||
}); | ||
}; | ||
var __generator = (this && this.__generator) || function (thisArg, body) { | ||
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g; | ||
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g; | ||
function verb(n) { return function (v) { return step([n, v]); }; } | ||
function step(op) { | ||
if (f) throw new TypeError("Generator is already executing."); | ||
while (g && (g = 0, op[0] && (_ = 0)), _) try { | ||
if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t; | ||
if (y = 0, t) op = [op[0] & 2, t.value]; | ||
switch (op[0]) { | ||
case 0: case 1: t = op; break; | ||
case 4: _.label++; return { value: op[1], done: false }; | ||
case 5: _.label++; y = op[1]; op = [0]; continue; | ||
case 7: op = _.ops.pop(); _.trys.pop(); continue; | ||
default: | ||
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; } | ||
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; } | ||
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; } | ||
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; } | ||
if (t[2]) _.ops.pop(); | ||
_.trys.pop(); continue; | ||
} | ||
op = body.call(thisArg, _); | ||
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; } | ||
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true }; | ||
} | ||
}; | ||
var __importDefault = (this && this.__importDefault) || function (mod) { | ||
return (mod && mod.__esModule) ? mod : { "default": mod }; | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
exports.getCategoryTaxonomy = void 0; | ||
var node_fetch_1 = __importDefault(require("node-fetch")); | ||
var getCategoryTaxonomy = function (params) { return __awaiter(void 0, void 0, void 0, function () { | ||
var _a, lang, data; | ||
return __generator(this, function (_b) { | ||
switch (_b.label) { | ||
case 0: | ||
_a = (params || {}).lang, lang = _a === void 0 ? "en" : _a; | ||
return [4 /*yield*/, (0, node_fetch_1.default)("https://help.shopify.com/txt/product_taxonomy/".concat(lang, ".txt")) | ||
.then(function (response) { return response.text(); })]; | ||
case 1: | ||
data = _b.sent(); | ||
return [2 /*return*/, data.split("\n") | ||
.map(function (line) { | ||
var _a = line.split(" - "), categoryId = _a[0], categoryName = _a[1]; | ||
return { categoryId: categoryId, categoryName: categoryName }; | ||
}).slice(1)]; | ||
} | ||
}); | ||
}); }; | ||
exports.getCategoryTaxonomy = getCategoryTaxonomy; |
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"use strict"; | ||
var __importDefault = (this && this.__importDefault) || function (mod) { | ||
return (mod && mod.__esModule) ? mod : { "default": mod }; | ||
}; | ||
Object.defineProperty(exports, "__esModule", { value: true }); | ||
var resolvers_1 = require("./resolvers"); | ||
var multer_1 = __importDefault(require("multer")); | ||
var storage = multer_1.default.memoryStorage(); | ||
var upload = (0, multer_1.default)({ storage: storage }); | ||
var routes = [{ | ||
path: '/category/:platform', | ||
method: 'get', | ||
middlewares: [], | ||
handler: resolvers_1.queryCategory | ||
}, { | ||
path: '/category/:platform', | ||
method: 'post', | ||
middlewares: [upload.single("file")], | ||
handler: resolvers_1.createVectors | ||
}]; | ||
exports.default = routes; |
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