[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_153":154,"_155":156},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":57,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",33,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","6608e77e-a9df-11f0-89a3-0224a6c84d84","name","fileType","http","content","// @ts-ignore\nimport { Hono } from \"npm:hono@4.4.12\";\n// @ts-ignore\nimport { cors } from \"npm:hono@4.4.12/cors\";\nimport { OpenAI } from \"https://esm.town/v/std/openai@v=4\";\nimport { getFullnodeUrl, SuiClient } from \"npm:@mysten/sui@1.4.0/client\";\nimport { Ed25519Keypair } from \"npm:@mysten/sui@1.4.0/keypairs/ed25519\";\nimport { WalrusClient } from \"npm:@mysten/walrus@0.3.0\";\n\n// --- TYPE DEFINITIONS ---\ninterface RelayTipConfig {\n address: string;\n kind: {\n const: number;\n };\n}\n\ninterface AIClassification {\n contentType: string;\n justification: string;\n}\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst GENERATION_STYLE_GUIDE =\n \"As the AI Data Classifier, you must adopt the persona of a digital forensics expert. Your function is to analyze raw data and provide a precise, evidence-based classification. Employ technical, unambiguous language. Your output must be a structured report, not a conversation. The objective is to produce a verifiable classification suitable for an automated archival system.\";\n\nconst CLASSIFY_CONTENT_PROMPT = `\nYou are an AI Data Classifier. Your task is to analyze the initial bytes of a file, provided as a Base64 encoded string, and determine its most likely MIME type.\nYou must base your conclusion on file signatures (\"magic numbers\") and structural cues.\nYou MUST respond ONLY with a single, minified JSON object with the following structure:\n{\n \"contentType\": \"The IANA MIME type for the file (e.g., 'image/png', 'application/pdf', 'text/plain; charset=utf-8').\",\n \"justification\": \"A brief, technical explanation for your conclusion, referencing the file signature or data characteristics observed.\"\n}\nIf the file type is ambiguous or unrecognizable, classify it as 'application/octet-stream' and state the reason in the justification.\nDo not include any text outside of this single JSON object.\n${GENERATION_STYLE_GUIDE}\n`;\n\n// --- SERVICE LAYER: THE RELAY'S CORE LOGIC ---\n/**\n * A service class that implements the logic of an AI-powered upload relay.\n * This service uses its own wallet to pay for storage transactions.\n */\nclass RelayService {\n private client: SuiClient & { walrus: WalrusClient };\n private keypair: Ed25519Keypair;\n private tipConfig: RelayTipConfig;\n\n constructor() {\n const secret = Deno.env.get(\"RELAY_WALLET_SECRET\");\n if (!secret) {\n throw new Error(\n \"RELAY_WALLET_SECRET environment variable is not set. The relay cannot function without a wallet.\",\n );\n }\n this.keypair = Ed25519Keypair.fromSecretKey(secret);\n\n // This WalrusClient is configured for direct interaction with storage nodes,\n // as it is the relay's responsibility to perform the upload.\n this.client = new SuiClient({ url: getFullnodeUrl(\"testnet\") })\n .$extend(\n WalrusClient.experimental_asClientExtension({\n network: \"testnet\",\n wasmUrl:\n \"https://unpkg.com/@mysten/walrus-wasm@0.3.0/web/walrus_wasm_bg.wasm\",\n }),\n );\n\n // Define the relay's tipping policy. For this example, it's a constant zero-cost tip,\n // as the relay's operation is subsidized.\n this.tipConfig = {\n address: this.keypair.getPublicKey().toSuiAddress(),\n kind: { const: 0 },\n };\n }\n\n public getTipConfig(): RelayTipConfig {\n return this.tipConfig;\n }\n\n /**\n * Uses OpenAI to classify the content, then stores it on Walrus.\n * This is the core value-add of the relay.\n */\n public async classifyAndStoreBlob(\n data: Uint8Array,\n ): Promise<{\n blobId: string;\n suiObjectUrl: string;\n classification: AIClassification;\n }> {\n const openai = new OpenAI();\n // To stay within token limits and for efficiency, we only analyze the first 4KB.\n const sampleBytes = data.slice(0, 4096);\n // @ts-ignore Deno.Buffer will be available in Val Town\n const base64Sample = new Deno.Buffer(sampleBytes).toString(\"base64\");\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: CLASSIFY_CONTENT_PROMPT },\n {\n role: \"user\",\n content: `Analyze the following Base64 data snippet: ${base64Sample}`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n\n let classification: AIClassification;\n try {\n classification = JSON.parse(completion.choices[0].message.content);\n } catch (e) {\n throw new Error(\"AI failed to return a valid classification.\");\n }\n\n // The relay uses its own keypair as the signer for the transaction.\n const { blobId, blobObject } = await this.client.walrus.writeBlob({\n blob: data,\n signer: this.keypair,\n epochs: 1, // Store for a short duration for this example\n deletable: true,\n });\n\n const suiObjectUrl =\n `https://suiscan.xyz/testnet/object/${blobObject.objectId}`;\n\n return { blobId, suiObjectUrl, classification };\n }\n}\n\n// --- APPLICATION LOGIC & ROUTING (HONO) ---\nconst app = new Hono();\nlet relayService: RelayService;\n\n// Application-level middleware to ensure the service is initialized.\n// This is a robust pattern for managing state in a serverless environment.\napp.use(\"*\", async (c, next) => {\n try {\n if (!relayService) {\n relayService = new RelayService();\n }\n await next();\n } catch (error) {\n console.error(\"Initialization Error:\", error.message);\n return c.json({\n error: \"Relay service failed to initialize. Check server logs.\",\n }, 500);\n }\n});\n\napp.use(\"*\", cors());\n\n// Endpoint to provide the relay's tipping configuration to clients.\napp.get(\"/v1/tip-config\", (c) => {\n return c.json(relayService.getTipConfig());\n});\n\n// The main upload endpoint for the relay.\napp.post(\"/v1/upload\", async (c) => {\n const formData = await c.req.formData();\n const file = formData.get(\"file\") as File;\n\n if (!file) {\n return c.json({ error: \"File not provided in form data.\" }, 400);\n }\n\n const fileBytes = new Uint8Array(await file.arrayBuffer());\n\n try {\n const result = await relayService.classifyAndStoreBlob(fileBytes);\n return c.json(result);\n } catch (error) {\n console.error(\"Upload Error:\", error);\n return c.json({\n error: \"Failed to process and store blob.\",\n details: error.message,\n }, 500);\n }\n});\n\napp.get(\"/\", (c) => {\n const valUrl = c.req.url.endsWith(\"/\") ? c.req.url : `${c.req.url}/`;\n return c.html(generateHtml(valUrl));\n});\n\n// --- FRONTEND: HTML, CSS, JAVASCRIPT ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n AI-Powered Walrus Relay\n \n \n \n \n\n\n

AI-Powered Walrus Upload Relay

Upload File

\n \n

Drag & Drop a file here or click to select

Selected: ()

\n \n

Upload Result

AI Classification Report

Storage Details

Blob ID:

Sui Object: View on Suiscan

\n\n\n`;\n}\n\n// --- Export for Val Town ---\nexport default app.fetch;","// @ts-ignore\nimport { Hono } from \"npm:hono@4.4.12\";\n// @ts-ignore\nimport { cors } from \"npm:hono@4.4.12/cors\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { getFullnodeUrl, SuiClient } from \"npm:@mysten/sui@1.4.0/client\";\nimport { Ed25519Keypair } from \"npm:@mysten/sui@1.4.0/keypairs/ed25519\";\nimport { WalrusClient } from \"npm:@mysten/walrus@0.3.0\";\n\n// --- TYPE DEFINITIONS ---\ninterface RelayTipConfig {\n address: string;\n kind: {\n const: number;\n };\n}\n\ninterface AIClassification {\n contentType: string;\n justification: string;\n}\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst GENERATION_STYLE_GUIDE =\n \"As the AI Data Classifier, you must adopt the persona of a digital forensics expert. Your function is to analyze raw data and provide a precise, evidence-based classification. Employ technical, unambiguous language. Your output must be a structured report, not a conversation. The objective is to produce a verifiable classification suitable for an automated archival system.\";\n\nconst CLASSIFY_CONTENT_PROMPT = `\nYou are an AI Data Classifier. Your task is to analyze the initial bytes of a file, provided as a Base64 encoded string, and determine its most likely MIME type.\nYou must base your conclusion on file signatures (\"magic numbers\") and structural cues.\nYou MUST respond ONLY with a single, minified JSON object with the following structure:\n{\n \"contentType\": \"The IANA MIME type for the file (e.g., 'image/png', 'application/pdf', 'text/plain; charset=utf-8').\",\n \"justification\": \"A brief, technical explanation for your conclusion, referencing the file signature or data characteristics observed.\"\n}\nIf the file type is ambiguous or unrecognizable, classify it as 'application/octet-stream' and state the reason in the justification.\nDo not include any text outside of this single JSON object.\n${GENERATION_STYLE_GUIDE}\n`;\n\n// --- SERVICE LAYER: THE RELAY'S CORE LOGIC ---\n/**\n * A service class that implements the logic of an AI-powered upload relay.\n * This service uses its own wallet to pay for storage transactions.\n */\nclass RelayService {\n private client: SuiClient & { walrus: WalrusClient };\n private keypair: Ed25519Keypair;\n private tipConfig: RelayTipConfig;\n\n constructor() {\n const secret = Deno.env.get(\"RELAY_WALLET_SECRET\");\n if (!secret) {\n throw new Error(\n \"RELAY_WALLET_SECRET environment variable is not set. The relay cannot function without a wallet.\",\n );\n }\n this.keypair = Ed25519Keypair.fromSecretKey(secret);\n\n // This WalrusClient is configured for direct interaction with storage nodes,\n // as it is the relay's responsibility to perform the upload.\n this.client = new SuiClient({ url: getFullnodeUrl(\"testnet\") })\n .$extend(\n WalrusClient.experimental_asClientExtension({\n network: \"testnet\",\n wasmUrl:\n \"https://unpkg.com/@mysten/walrus-wasm@0.3.0/web/walrus_wasm_bg.wasm\",\n }),\n );\n\n // Define the relay's tipping policy. For this example, it's a constant zero-cost tip,\n // as the relay's operation is subsidized.\n this.tipConfig = {\n address: this.keypair.getPublicKey().toSuiAddress(),\n kind: { const: 0 },\n };\n }\n\n public getTipConfig(): RelayTipConfig {\n return this.tipConfig;\n }\n\n /**\n * Uses OpenAI to classify the content, then stores it on Walrus.\n * This is the core value-add of the relay.\n */\n public async classifyAndStoreBlob(\n data: Uint8Array,\n ): Promise<{\n blobId: string;\n suiObjectUrl: string;\n classification: AIClassification;\n }> {\n const openai = new OpenAI();\n // To stay within token limits and for efficiency, we only analyze the first 4KB.\n const sampleBytes = data.slice(0, 4096);\n // @ts-ignore Deno.Buffer will be available in Val Town\n const base64Sample = new Deno.Buffer(sampleBytes).toString(\"base64\");\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: CLASSIFY_CONTENT_PROMPT },\n {\n role: \"user\",\n content: `Analyze the following Base64 data snippet: ${base64Sample}`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n\n let classification: AIClassification;\n try {\n classification = JSON.parse(completion.choices[0].message.content);\n } catch (e) {\n throw new Error(\"AI failed to return a valid classification.\");\n }\n\n // The relay uses its own keypair as the signer for the transaction.\n const { blobId, blobObject } = await this.client.walrus.writeBlob({\n blob: data,\n signer: this.keypair,\n epochs: 1, // Store for a short duration for this example\n deletable: true,\n });\n\n const suiObjectUrl =\n `https://suiscan.xyz/testnet/object/${blobObject.objectId}`;\n\n return { blobId, suiObjectUrl, classification };\n }\n}\n\n// --- APPLICATION LOGIC & ROUTING (HONO) ---\nconst app = new Hono();\nlet relayService: RelayService;\n\n// Application-level middleware to ensure the service is initialized.\n// This is a robust pattern for managing state in a serverless environment.\napp.use(\"*\", async (c, next) => {\n try {\n if (!relayService) {\n relayService = new RelayService();\n }\n await next();\n } catch (error) {\n console.error(\"Initialization Error:\", error.message);\n return c.json({\n error: \"Relay service failed to initialize. Check server logs.\",\n }, 500);\n }\n});\n\napp.use(\"*\", cors());\n\n// Endpoint to provide the relay's tipping configuration to clients.\napp.get(\"/v1/tip-config\", (c) => {\n return c.json(relayService.getTipConfig());\n});\n\n// The main upload endpoint for the relay.\napp.post(\"/v1/upload\", async (c) => {\n const formData = await c.req.formData();\n const file = formData.get(\"file\") as File;\n\n if (!file) {\n return c.json({ error: \"File not provided in form data.\" }, 400);\n }\n\n const fileBytes = new Uint8Array(await file.arrayBuffer());\n\n try {\n const result = await relayService.classifyAndStoreBlob(fileBytes);\n return c.json(result);\n } catch (error) {\n console.error(\"Upload Error:\", error);\n return c.json({\n error: \"Failed to process and store blob.\",\n details: error.message,\n }, 500);\n }\n});\n\napp.get(\"/\", (c) => {\n const valUrl = c.req.url.endsWith(\"/\") ? c.req.url : `${c.req.url}/`;\n return c.html(generateHtml(valUrl));\n});\n\n// --- FRONTEND: HTML, CSS, JAVASCRIPT ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n AI-Powered Walrus Relay\n \n \n \n \n\n\n

AI-Powered Walrus Upload Relay

Upload File

\n \n

Drag & Drop a file here or click to select

Selected: ()

\n \n

Upload Result

AI Classification Report

Storage Details

Blob ID:

Sui Object: View on Suiscan

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Diff · v33