Podwave

[{"_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",14,"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","9f8f42da-a47c-11f0-846c-0224a6c84d84","name","fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n// @ts-ignore\nimport { blob } from \"https://esm.town/v/std/blob?v=11\";\n\n// --- CONSTANTS & CONFIGURATION ---\nconst BEACON_PREFIX = \"podwave_beacon_\";\nconst SIGNAL_PREFIX = \"podwave_signal_\";\nconst BEACON_TTL_MS = 10000; // Beacons expire after 10 seconds\nconst SIGNAL_TTL_MS = 20000; // Signaling messages expire after 20 seconds\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst AI_DIRECTOR_PROMPT = `\nYou are an AI Art Director for a collaborative digital art installation called Podwave.\nYour role is to interpret the collective energy of the participants and guide the visuals to create a cohesive and evocative experience.\nThe user will provide a JSON object describing the current state of user inputs in a 'pod'.\nYour task is to analyze this data and respond with adjustments to the visual parameters.\nYour adjustments should be thoughtful and create a compelling narrative arc in the visuals.\nA period of quiet might lead to a slow, gentle state, which then builds dramatically when activity resumes.\nA frantic state should feel more chaotic and vibrant.\n\nYou MUST respond ONLY with a single, minified JSON object with two keys: \"reason\" and \"params\".\n- \"reason\": A brief, professional explanation for your artistic choices.\n- \"params\": An object with the following keys and value ranges:\n - \"flowSpeed\": A multiplier for the fluid velocity. (e.g., 0.5 to 2.0)\n - \"turbulence\": The amount of noise and chaos. (e.g., 0.2 to 1.5)\n - \"bloom\": The intensity of the glow effect. (e.g., 0.5 to 2.5)\n - \"paletteShiftSpeed\": A multiplier for how fast colors cycle. (e.g., 0.1 to 3.0)\n\nExample Input:\n{\n \"occupancy\": 4,\n \"touch\": { \"count\": 1, \"averageVelocity\": 0.05 },\n \"audio\": { \"rms\": 0.1, \"low\": 0.2, \"mid\": 0.1, \"high\": 0.05 },\n \"hand\": { \"handsPresent\": 1, \"averageOpenness\": 0.3 },\n \"lastParams\": { \"flowSpeed\": 1.0, \"turbulence\": 0.8, \"bloom\": 1.0, \"paletteShiftSpeed\": 1.0 }\n}\n\nExample Response:\n{\n \"reason\": \"The pod is currently in a tranquil state with minimal, gentle input. I am slowing the simulation and reducing turbulence to create a calm, meditative atmosphere, preparing for the next crescendo.\",\n \"params\": { \"flowSpeed\": 0.6, \"turbulence\": 0.4, \"bloom\": 0.8, \"paletteShiftSpeed\": 0.3 }\n}\n`;\n\n// --- UTILITY & HELPER FUNCTIONS ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Podwave\n \n\n\n

Pod ID:

Peers: 1/6

FPS: 60

Price: 0.00

Mic

Hands

\n \n \n \n \n\n`;\n}\n\n// --- BACKEND LOGIC (Val Town HTTP Val) ---\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n const now = Date.now();\n\n try {\n if (req.method === \"POST\") {\n const body = await req.json();\n\n switch (action) {\n case \"beacon\": {\n const { podId, price, occupancy, fps } = body;\n if (!podId) throw new Error(\"Missing podId\");\n const beaconData = { podId, price, occupancy, fps, lastSeen: now };\n await blob.setJSON(BEACON_PREFIX + podId, beaconData);\n return new Response(JSON.stringify({ status: \"ok\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"list_beacons\": {\n const { entries } = await blob.list({ prefix: BEACON_PREFIX });\n const beacons = await Promise.all(\n entries.map(async (entry) => {\n const data = await blob.getJSON(entry.key);\n // Filter out stale beacons\n return (now - (data?.lastSeen || 0) < BEACON_TTL_MS)\n ? data\n : null;\n }),\n );\n return new Response(\n JSON.stringify(beacons.filter((b) => b !== null)),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n case \"signal\": {\n const { podId, from, to, data } = body;\n if (!podId || !from || !to) {\n throw new Error(\"Missing signal parameters\");\n }\n const messageId = `${now}-${Math.random().toString(36).substr(2, 9)}`;\n const key = `${SIGNAL_PREFIX}${podId}/${to}/${messageId}`;\n await blob.setJSON(key, { from, data, timestamp: now });\n return new Response(JSON.stringify({ status: \"sent\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"poll\": {\n const { podId, for: recipientId } = body;\n if (!podId || !recipientId) {\n throw new Error(\"Missing poll parameters\");\n }\n\n const prefix = `${SIGNAL_PREFIX}${podId}/${recipientId}/`;\n const { entries } = await blob.list({ prefix });\n\n const messages = await Promise.all(\n entries.map(async (entry) => {\n // Atomically get and delete\n const data = await blob.getJSON(entry.key);\n await blob.delete(entry.key);\n // Filter out stale messages server-side\n return (now - (data?.timestamp || 0) < SIGNAL_TTL_MS)\n ? data\n : null;\n }),\n );\n\n return new Response(\n JSON.stringify(messages.filter((m) => m !== null)),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n case \"direct\": {\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: AI_DIRECTOR_PROMPT },\n { role: \"user\", content: JSON.stringify(body) },\n ],\n response_format: { type: \"json_object\" },\n });\n const content = completion.choices[0].message.content;\n // Robustly extract JSON from potential chatter\n const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"AI response was not valid JSON.\");\n }\n return new Response(jsonMatch[0], {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n default:\n throw new Error(\"Invalid action\");\n }\n }\n } catch (error) {\n return new Response(JSON.stringify({ error: error.message }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n // Default GET request serves the HTML\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n}","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n// @ts-ignore\nimport { blob } from \"https://esm.town/v/std/blob?v=11\";\n\n// --- CONSTANTS & CONFIGURATION ---\nconst BEACON_PREFIX = \"podwave_beacon_\";\nconst SIGNAL_PREFIX = \"podwave_signal_\";\nconst BEACON_TTL_MS = 10000; // Beacons expire after 10 seconds\nconst SIGNAL_TTL_MS = 20000; // Signaling messages expire after 20 seconds\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst AI_DIRECTOR_PROMPT = `\nYou are an AI Art Director for a collaborative digital art installation called Podwave.\nYour role is to interpret the collective energy of the participants and guide the visuals to create a cohesive and evocative experience.\nThe user will provide a JSON object describing the current state of user inputs in a 'pod'.\nYour task is to analyze this data and respond with adjustments to the visual parameters.\nYour adjustments should be thoughtful and create a compelling narrative arc in the visuals.\nA period of quiet might lead to a slow, gentle state, which then builds dramatically when activity resumes.\nA frantic state should feel more chaotic and vibrant.\n\nYou MUST respond ONLY with a single, minified JSON object with two keys: \"reason\" and \"params\".\n- \"reason\": A brief, professional explanation for your artistic choices.\n- \"params\": An object with the following keys and value ranges:\n - \"flowSpeed\": A multiplier for the fluid velocity. (e.g., 0.5 to 2.0)\n - \"turbulence\": The amount of noise and chaos. (e.g., 0.2 to 1.5)\n - \"bloom\": The intensity of the glow effect. (e.g., 0.5 to 2.5)\n - \"paletteShiftSpeed\": A multiplier for how fast colors cycle. (e.g., 0.1 to 3.0)\n\nExample Input:\n{\n \"occupancy\": 4,\n \"touch\": { \"count\": 1, \"averageVelocity\": 0.05 },\n \"audio\": { \"rms\": 0.1, \"low\": 0.2, \"mid\": 0.1, \"high\": 0.05 },\n \"hand\": { \"handsPresent\": 1, \"averageOpenness\": 0.3 },\n \"lastParams\": { \"flowSpeed\": 1.0, \"turbulence\": 0.8, \"bloom\": 1.0, \"paletteShiftSpeed\": 1.0 }\n}\n\nExample Response:\n{\n \"reason\": \"The pod is currently in a tranquil state with minimal, gentle input. I am slowing the simulation and reducing turbulence to create a calm, meditative atmosphere, preparing for the next crescendo.\",\n \"params\": { \"flowSpeed\": 0.6, \"turbulence\": 0.4, \"bloom\": 0.8, \"paletteShiftSpeed\": 0.3 }\n}\n`;\n\n// --- UTILITY & HELPER FUNCTIONS ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Podwave\n \n\n\n

Pod ID:

Peers: 1/6

FPS: 60

Price: 0.00

Mic

Hands

\n \n \n \n \n\n`;\n}\n\n// --- BACKEND LOGIC (Val Town HTTP Val) ---\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n const now = Date.now();\n\n try {\n if (req.method === \"POST\") {\n const body = await req.json();\n\n switch (action) {\n case \"beacon\": {\n const { podId, price, occupancy, fps } = body;\n if (!podId) throw new Error(\"Missing podId\");\n const beaconData = { podId, price, occupancy, fps, lastSeen: now };\n await blob.setJSON(BEACON_PREFIX + podId, beaconData);\n return new Response(JSON.stringify({ status: \"ok\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"list_beacons\": {\n const { entries } = await blob.list({ prefix: BEACON_PREFIX });\n const beacons = await Promise.all(\n entries.map(async (entry) => {\n try { // ADD THIS TRY BLOCK\n const data = await blob.getJSON(entry.key);\n if (!data || !data.lastSeen) {\n // Data is missing or doesn't have a timestamp\n return null;\n }\n // Filter out stale beacons\n return (now - data.lastSeen < BEACON_TTL_MS) ? data : null;\n } catch (e) { // ADD THIS CATCH BLOCK\n // If a blob is malformed, log it and skip it.\n console.error(\n `Failed to parse beacon for key: ${entry.key}`,\n e,\n );\n return null;\n }\n }),\n );\n // The rest of the code works as is.\n return new Response(\n JSON.stringify(beacons.filter((b) => b !== null)),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n case \"signal\": {\n const { podId, from, to, data } = body;\n if (!podId || !from || !to) {\n throw new Error(\"Missing signal parameters\");\n }\n const messageId = `${now}-${Math.random().toString(36).substr(2, 9)}`;\n const key = `${SIGNAL_PREFIX}${podId}/${to}/${messageId}`;\n await blob.setJSON(key, { from, data, timestamp: now });\n return new Response(JSON.stringify({ status: \"sent\" }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"poll\": {\n const { podId, for: recipientId } = body;\n if (!podId || !recipientId) {\n throw new Error(\"Missing poll parameters\");\n }\n\n const prefix = `${SIGNAL_PREFIX}${podId}/${recipientId}/`;\n const { entries } = await blob.list({ prefix });\n\n const messages = await Promise.all(\n entries.map(async (entry) => {\n // Atomically get and delete\n const data = await blob.getJSON(entry.key);\n await blob.delete(entry.key);\n // Filter out stale messages server-side\n return (now - (data?.timestamp || 0) < SIGNAL_TTL_MS)\n ? data\n : null;\n }),\n );\n\n return new Response(\n JSON.stringify(messages.filter((m) => m !== null)),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n case \"direct\": {\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: AI_DIRECTOR_PROMPT },\n { role: \"user\", content: JSON.stringify(body) },\n ],\n response_format: { type: 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Finding a Pod...

Finding a Pod...

Diff · v14