[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_166":167,"_168":169},"routes/_app.x.$handle.$name",{"_97":96,"_34":46,"_105":87,"_28":106,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":27,"_120":121,"_122":25,"_123":-5,"_124":-5,"_125":126},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_34":46,"_39":47,"_48":-5,"_49":27,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":-5,"_58":27,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":27},"version",84,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":27,"_28":29,"_30":31},"file",{"_32":33,"_34":29,"_35":38,"_36":37,"_39":40,"_41":14,"_42":43,"_24":27},"previous",{"_32":33,"_34":29,"_35":20,"_36":37},"deleted",true,"deletedHere",false,"path","pinecone_http_server","latestPath","sample_server","fileId","00980d1a-ddd9-11f0-b789-42dde27851f2","name","fileType","content","import PineconeIndex from \"https://esm.town/v/peterqliu/PineconeIndex/PineconeIndex\";\n\nconst pineconeKey = Deno.env.get(\"PINECONE_KEY\");\nconst modelToken = Deno.env.get(\"OPENAI_KEY\");\n\nconst wpIndex = new PineconeIndex({\n name: \"wikipedia-simple-text-embedding-ada-002-250k\",\n model: \"text-embedding-ada-002\",\n dimensions: 1536,\n pineconeKey,\n modelToken,\n});\n\n/**\n * HTTP handler that routes requests to the PineconeIndex\n * Supports routes like:\n * - POST /query/ - Query the index with text\n * - POST /upsert/ - Add texts to the index\n * - POST /empty/ - Clear the index\n * - GET /health/ - Health check\n */\nexport default async function (req: Request): Promise {\n return await wpIndex.handleRequest(req);\n}","http","createdAt",["D",1766258455356],"branchVersion","branchId","550bf07a-6d75-11f0-9956-0224a6c84d84","id","550b8766-6d75-11f0-9956-0224a6c84d84","PineconeIndex",["D",1753901115385],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Vector db's on Pinecone, with OpenAI embeddings","imageUrl","f129b0f0-09bd-41ac-a51c-c16933d81d65","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","5cdb635f-04df-409e-bb23-93b87a60f6ca","tursoName","tursoHostname","tursoMeasuredAt","pinned",1,"userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_97":96,"_104":100},"org",{"_97":96,"_98":-5,"_99":100,"_18":56,"_101":102,"_103":27},"branch",{"_13":86,"_34":87,"_44":43,"_88":45,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":46,"_95":96},"isOwned",162,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","pql","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJrYUVVM1VyRHRhckNnNGxidGEwUUdaSFRDYSJ9","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_44":45,"_34":46,"_39":162,"_48":-5,"_49":27,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":-5,"_58":27,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":163,"_81":164,"_83":165,"_85":27},"tree",[153,154],"files",[153,154],"counts",{"_143":62,"_144":69,"_145":62,"_146":147,"_148":149},"contents",[127,128],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_44":135,"_34":46,"_32":136,"_130":-5,"_42":43,"_41":137,"_131":27,"_39":138,"_13":139,"_35":140,"_36":141,"_24":27,"_133":-5,"_28":142},{"_44":129,"_34":29,"_32":33,"_130":-5,"_42":43,"_41":14,"_131":27,"_39":132,"_13":69,"_35":38,"_36":37,"_24":27,"_133":-5,"_28":134},"01a572a6-ddd9-11f0-b79a-42dde27851f2","parentId","latest",["D",1766258455356],"label",[29],"fb359c16-ddd8-11f0-b25a-42dde27851f2","550e6a1c-6d75-11f0-9956-0224a6c84d84",82,["D",1766258444566],81,"script","import { Pinecone } from \"npm:@pinecone-database/pinecone\";\nimport axios from \"npm:axios\";\nimport { v4 as uuidv4 } from \"npm:uuid\"; // for generating unique IDs\n\n\nexport default class PineconeIndex {\n \n constructor(options) {\n const {name, dimensions, pineconeIndex, pineconeKey, modelToken, model} = options;\n\n this.options = options;\n this.pc = new Pinecone({ apiKey: pineconeKey });\n this._index = null;\n this._namespace = options.namespace ?? \"\";\n }\n \n async create() {\n const { name, dimension } = this.options;\n await this.pc.createIndex({\n name,\n dimension,\n metric: 'cosine',\n spec: { serverless: { cloud: 'aws', region: 'us-east-1' } },\n deletionProtection: 'disabled',\n waitUntilReady: true\n });\n\n // Immediately capture index host\n const info = await this.pc.describeIndex(name);\n const host = info.host;\n this._index = this.pc.Index(host);\n }\n\n async getIndex() {\n if (this._index) return this._index;\n \n const { name } = this.options;\n const info = await this.pc.describeIndex(name);\n const host = info.host;\n const idx = this.pc.index(name, host);\n \n const ns = this._namespace;\n this._index = ns ? idx.namespace(ns) : idx;\n return this._index;\n }\n\n \n async upsertRecords(texts) {\n const idx = await this.getIndex();\n \n // Process texts one at a time to avoid message size limits\n for (const text of texts) {\n const values = await this.embed(text);\n const vector = {\n id: uuidv4(), // generate unique ID per text\n values,\n metadata: { text }, // keep original text in metadata\n };\n \n await idx.upsert([vector]);\n }\n }\n\n async query(text:string){\n const idx = await this.getIndex();\n const vector = await this.embed(text);\n return idx.query({\n vector,\n topK: 10,\n includeValues: false,\n includeMetadata: true,\n });\n }\n\n async embed(text:string) {\n const {model, modelToken} = this.options;\n const response = await axios.post(\n \"https://api.openai.com/v1/embeddings\",\n {model, input: text }, \n {\n headers: {\n \"Authorization\": `Bearer ${modelToken}`,\n },\n }\n );\n \n return response.data.data[0].embedding;\n }\n\n async empty() {\n const idx = await this.getIndex();\n \n // Delete all vectors in the current namespace\n // If no namespace is set, this will delete all vectors in the index\n await idx.deleteAll();\n }\n\n /**\n * HTTP handler that routes requests to appropriate methods\n * Supports routes like /query/, /upsert/, /empty/\n */\n async handleRequest(req: Request): Promise {\n const url = new URL(req.url);\n const pathSegments = url.pathname.split('/').filter(segment => segment.length > 0);\n \n // Extract the operation from the path (e.g., \"query\" from \"/query/\")\n const operation = pathSegments[0];\n \n try {\n switch (operation) {\n case 'query':\n return await this._handleQuery(req);\n \n case 'upsert':\n return await this._handleUpsert(req);\n \n case 'empty':\n return await this._handleEmpty(req);\n \n case 'health':\n return Response.json({ status: 'healthy', timestamp: new Date().toISOString() });\n \n default:\n return Response.json(\n { error: `Unknown operation: ${operation}. Supported operations: query, upsert, empty, health` },\n { status: 400 }\n );\n }\n } catch (error) {\n console.error(`Error in ${operation} operation:`, error);\n return Response.json(\n { error: error.message || 'Internal server error' },\n { status: 500 }\n );\n }\n }\n\n /**\n * Handle query requests - expects JSON body with query text\n */\n private async _handleQuery(req: Request): Promise {\n if (req.method !== 'POST') {\n return Response.json({ error: 'Query endpoint only accepts POST requests' }, { status: 405 });\n }\n\n const body = await req.json();\n \n // Support both direct string and object with query property\n const queryText = typeof body === 'string' ? body : (body.query || body.text || JSON.stringify(body));\n \n if (!queryText) {\n return Response.json({ error: 'Query text is required' }, { status: 400 });\n }\n\n const results = await this.query(queryText);\n return Response.json(results);\n }\n\n /**\n * Handle upsert requests - expects JSON body with texts array\n */\n private async _handleUpsert(req: Request): Promise {\n if (req.method !== 'POST') {\n return Response.json({ error: 'Upsert endpoint only accepts POST requests' }, { status: 405 });\n }\n\n const body = await req.json();\n const texts = body.texts || body.data || (Array.isArray(body) ? body : [body]);\n \n if (!Array.isArray(texts) || texts.length === 0) {\n return Response.json({ error: 'Texts array is required' }, { status: 400 });\n }\n\n await this.upsertRecords(texts);\n return Response.json({ success: true, count: texts.length });\n }\n\n /**\n * Handle empty requests - clears the index/namespace\n */\n private async _handleEmpty(req: Request): Promise {\n if (req.method !== 'POST') {\n return Response.json({ error: 'Empty endpoint only accepts POST requests' }, { status: 405 });\n }\n\n await this.empty();\n return Response.json({ success: true, message: 'Index cleared' });\n }\n options:null\n pc: null\n _index: null\n _namespace:null\n \n}\n\n\n\n// /**\n// * Options passed to the constructor.\n// */\n// export interface PineconeIndexOptions {\n// /** Name of the Pinecone index */\n// name: string;\n// /** Number of dimensions the vectors will have */\n// dimensions: number;\n// /** Optional – a custom index name that you might want to use later */\n// pineconeIndex?: string;\n// /** Pinecone API key */\n// pineconeKey: string;\n// /** OpenAI API key used for embeddings */\n// modelToken: string;\n// /** OpenAI model name (e.g. “text-embedding-ada-002”) */\n// model: string;\n// /** Optional namespace inside the index */\n// namespace?: string;\n// }\n\n// /**\n// * A helper class that wraps a Pinecone index.\n// */\n// export default class PineconeIndex {\n// /** Raw constructor options */\n// private readonly options: PineconeIndexOptions;\n// /** The Pinecone client instance */\n// private readonly pc: PineconeClient;\n// /** Cached reference to the index (or namespace) */\n// private _index: Index | null = null;\n// /** Namespace that will be used if supplied */\n// private readonly _namespace: string;\n\n// constructor(options: PineconeIndexOptions) {\n// this.options = options;\n// this.pc = new Pinecone({ apiKey: options.pineconeKey });\n// this._namespace = options.namespace ?? '';\n// }\n\n// /* Creates the Pinecone index if it does not already exist. */\n// async create(): Promise {\n// const { name, dimensions } = this.options;\n// await this.pc.createIndex({\n// name,\n// dimension: dimensions,\n// metric: 'cosine',\n// spec: { serverless: { cloud: 'aws', region: 'us-east-1' } },\n// deletionProtection: 'disabled',\n// waitUntilReady: true,\n// });\n\n// // Immediately capture the index host and create a local reference\n// const info = await this.pc.describeIndex(name);\n// const host = info.host;\n// this._index = this.pc.Index(host);\n// }\n\n// /**\n// * Lazily resolves the index (or the namespace inside it).\n// */\n// async getIndex(): Promise {\n// if (this._index) {\n// return this._index;\n// }\n\n// const { name } = this.options;\n// const info = await this.pc.describeIndex(name);\n// const host = info.host;\n// const idx = this.pc.index(name, host);\n\n// this._index = this._namespace ? idx.namespace(this._namespace) : idx;\n// return this._index;\n// }\n\n// /**\n// * Upsets an array of text records. Each record is embedded and stored\n// * with a UUID and its original text as metadata.\n// */\n// async upsertRecords(texts: string[]): Promise {\n// const idx = await this.getIndex();\n\n// for (const text of texts) {\n// const values = await this.embed(text);\n// const vector = {\n// id: uuidv4(),\n// values,\n// metadata: { text },\n// };\n// await idx.upsert([vector]);\n// }\n// }\n\n// /**\n// * Queries the index for the 10 most similar vectors to the supplied text.\n// */\n// async query(text: string): Promise {\n// const idx = await this.getIndex();\n// const vector = await this.embed(text);\n// console.log(vector)\n// return idx.query({\n// vector,\n// topK: 10,\n// includeValues: false,\n// includeMetadata: true,\n// });\n// }\n\n// /**\n// * Returns an embedding for a single string using the configured model.\n// */\n// async embed(text: string): Promise {\n// const { model, modelToken } = this.options;\n// const response = await axios.post(\n// 'https://api.openai.com/v1/embeddings',\n// { model, input: text },\n// {\n// headers: {\n// Authorization: `Bearer ${modelToken}`,\n// },\n// }\n// );\n\n// // response.data.data[0].embedding is guaranteed to be a number[]\n// return response.data.data[0].embedding;\n// }\n\n// /**\n// * Deletes all vectors in the current namespace (or the whole index if no\n// * namespace is set).\n// */\n// async empty(): Promise {\n// const idx = await this.getIndex();\n// await idx.deleteAll();\n// }\n// }",[46],"pulls","branches","forks","envVars",{"_150":62,"_152":62},"connections",{"_150":62,"_151":62},"count","unfilledCount","emptyCount",{"_44":135,"_34":46,"_32":136,"_130":-5,"_42":43,"_41":137,"_131":27,"_39":159,"_13":139,"_35":140,"_36":141,"_24":27,"_133":-5,"_156":160,"_28":161},{"_44":129,"_34":29,"_32":33,"_130":-5,"_42":43,"_41":14,"_131":27,"_39":155,"_13":69,"_35":38,"_36":37,"_24":27,"_133":-5,"_156":157,"_28":158},["D",1766258455356],"children",[],[29],["D",1766258444566],[],[46],["D",1753901115385],{"_97":96,"_104":100},{"_97":96,"_98":-5,"_99":100,"_18":56,"_101":102,"_103":27},{"_13":86,"_34":87,"_44":43,"_88":45,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":46,"_95":96},"ctx",{"_79":-5,"_124":199,"_200":201,"_202":203,"_204":27,"_205":27,"_206":27,"_207":25,"_208":-5,"_209":-7,"_210":-7,"_211":62,"_212":27,"_213":27,"_214":-5,"_215":27,"_216":27,"_217":27,"_218":-5},"ENV",{"_170":171,"_172":173,"_174":87,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196,"_197":198},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v84