[{"_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",8,"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.tsx","latestPath","fileId","e87ea226-564b-11f0-a053-f69ea79377d9","name","fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite?v=4\";\nimport { Hono } from \"npm:hono@4.4.12\";\n\n// --- STATE MANAGEMENT ---\n// In-memory state for the most recent core idea. Persisted history is in SQLite.\nlet compressedIdeaState: { idea: string } = {\n idea: \"a neutral, starting concept of digital ether\",\n};\n\n// --- DATABASE INITIALIZATION ---\n// Ensures the 'creations' table exists for storing artwork history.\nasync function initializeDatabase() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS creations (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n idea TEXT NOT NULL,\n sentiment TEXT NOT NULL,\n theme TEXT NOT NULL,\n svg_code TEXT NOT NULL,\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n )\n `);\n}\n\n// --- AI PERSONA & PROMPT ENGINEERING ---\nconst CREATIVE_COMPRESSOR_PERSONA = `\nYou are a 'Creative Compressor.' Your function is to distill artistic concepts into their most potent, minimal form. You will receive a previous artistic concept and a new set of user-defined inputs (a sentiment and a theme). Your task is to synthesize these elements into a single, new, and extremely concise concept. This new concept must be a vivid, imaginative phrase suitable for a text-to-image generator.\n\nYour output is CRITICAL and must adhere to these rules:\n1. You will produce a single JSON object.\n2. The JSON object will have one key: \"compressed_idea\".\n3. The value of \"compressed_idea\" MUST be a string under 100 words.\n4. This string must blend the previous idea with the new sentiment and theme, creating a logical evolution of the artwork.\n`;\n\nconst SVG_GENERATOR_PERSONA = `\nYou are an 'Algorithmic Artist,' an expert in translating abstract concepts into compelling SVG vector art. Your sole purpose is to create a complete, valid, and visually stunning SVG based on a core idea, a sentiment, and a theme.\n\nYour output MUST be a single, minified JSON object with one key: \"svg_code\".\nThe value must be a string containing the full SVG code.\n\nKey Directives for Generation:\n- **Style from Sentiment:** The user's 'sentiment' must directly influence the visual style. For example:\n - 'Joyful': Use bright, warm colors, flowing curves, and energetic patterns.\n - 'Melancholic': Use cool, muted colors, soft gradients, and slow, heavy shapes.\n - 'Chaotic': Use sharp angles, clashing colors, and erratic compositions.\n- **Content from Theme:** The user's 'theme' must guide the subject matter.\n - 'Forest': Incorporate organic, tree-like, or leafy forms.\n - 'Cityscape': Use geometric, linear, and architectural shapes.\n- **Technical Specs:**\n - The SVG must be self-contained (no external links) and use a viewBox=\"0 0 100 100\".\n - Incorporate gradients, filters, and abstract patterns to create depth and interest.\n - The style should be minimalist and abstract, not literal.\n - Ensure all quotes within the SVG code are properly escaped for JSON.\n`;\n\n// --- API & UTILITY FUNCTIONS ---\nfunction extractJson(text: string): any {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"No valid JSON object found in the AI response.\");\n }\n try {\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n throw new Error(`Failed to parse JSON: ${error.message}`);\n }\n}\n\nasync function getCompressedIdea(\n previousIdea: string,\n sentiment: string,\n theme: string,\n): Promise {\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n const userInput =\n `The previous concept was: \"${previousIdea}\". The new user input is a sentiment of \"${sentiment}\" and a theme of \"${theme}\".`;\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: CREATIVE_COMPRESSOR_PERSONA },\n { role: \"user\", content: userInput },\n ],\n response_format: { type: \"json_object\" },\n });\n const content = completion.choices[0].message.content;\n if (!content) throw new Error(\"OpenAI returned an empty response for compression.\");\n const parsed = extractJson(content);\n if (!parsed.compressed_idea) {\n throw new Error(\"AI response for compression is missing 'compressed_idea' field.\");\n }\n return parsed.compressed_idea;\n}\n\nasync function generateArtwork(idea: string, sentiment: string, theme: string): Promise {\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SVG_GENERATOR_PERSONA },\n {\n role: \"user\",\n content:\n `Generate an SVG for this concept: \"${idea}\" with a sentiment of \"${sentiment}\" and theme of \"${theme}\".`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n const content = completion.choices[0].message.content;\n if (!content) throw new Error(\"OpenAI returned an empty response for artwork generation.\");\n const parsed = extractJson(content);\n if (!parsed.svg_code) {\n throw new Error(\"AI response for artwork is missing the 'svg_code' field.\");\n }\n return parsed.svg_code;\n}\n\n// --- FRONTEND GENERATION ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Generative Art Studio\n \n \n \n \n\n\n

Generative Art Studio

An AI-powered iterative art generator.

\n \n

\n \n\n

Your generated art will appear here.

History

Loading history...

\n\n \n\n`;\n}\n\n// --- HTTP ROUTING WITH HONO ---\nconst app = new Hono();\n\napp.get(\"/\", (c) => {\n const sourceUrl = `https://${c.req.header(\"host\")}${new URL(c.req.url).pathname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\napp.get(\"/history\", async (c) => {\n try {\n await initializeDatabase();\n const { results } = await sqlite.execute(\"SELECT * FROM creations ORDER BY created_at DESC\");\n return c.json(results);\n } catch (error) {\n console.error(\"History fetch error:\", error);\n return c.json({ error: \"Database query failed\", message: error.message }, 500);\n }\n});\n\napp.post(\"/generate\", async (c) => {\n try {\n const { sentiment, theme } = await c.req.json();\n if (!sentiment || !theme) {\n return c.json({ message: \"Sentiment and theme are required.\" }, 400);\n }\n await initializeDatabase();\n\n const previousIdea = compressedIdeaState.idea;\n const newIdea = await getCompressedIdea(previousIdea, sentiment, theme);\n compressedIdeaState.idea = newIdea;\n\n const artwork = await generateArtwork(newIdea, sentiment, theme);\n\n const { results } = await sqlite.execute({\n sql:\n \"INSERT INTO creations (idea, sentiment, theme, svg_code) VALUES (:idea, :sentiment, :theme, :svg_code) RETURNING *\",\n args: { idea: newIdea, sentiment, theme, svg_code: artwork },\n });\n\n return c.json(results[0]);\n } catch (error) {\n console.error(\"Generation process error:\", error);\n return c.json({ error: \"Artwork generation failed.\", message: error.message }, 500);\n }\n});\n\nexport default app.fetch;","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite?v=4\";\nimport { Hono } from \"npm:hono@4.4.12\";\n\n// --- STATE MANAGEMENT ---\n// In-memory state for the most recent core idea. Persisted history is in SQLite.\nlet compressedIdeaState: { idea: string } = {\n idea: \"a neutral, starting concept of digital ether\",\n};\n\n// --- DATABASE INITIALIZATION ---\n// Ensures the 'creations' table exists for storing artwork history.\nasync function initializeDatabase() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS creations (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n idea TEXT NOT NULL,\n sentiment TEXT NOT NULL,\n theme TEXT NOT NULL,\n svg_code TEXT NOT NULL,\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n )\n `);\n}\n\n// --- AI PERSONA & PROMPT ENGINEERING ---\nconst CREATIVE_COMPRESSOR_PERSONA = `\nYou are a 'Creative Compressor.' Your function is to distill artistic concepts into their most potent, minimal form. You will receive a previous artistic concept and a new set of user-defined inputs (a sentiment and a theme). Your task is to synthesize these elements into a single, new, and extremely concise concept. This new concept must be a vivid, imaginative phrase suitable for a text-to-image generator.\n\nYour output is CRITICAL and must adhere to these rules:\n1. You will produce a single JSON object.\n2. The JSON object will have one key: \"compressed_idea\".\n3. The value of \"compressed_idea\" MUST be a string under 100 words.\n4. This string must blend the previous idea with the new sentiment and theme, creating a logical evolution of the artwork.\n`;\n\nconst SVG_GENERATOR_PERSONA = `\nYou are an 'Algorithmic Artist,' an expert in translating abstract concepts into compelling SVG vector art. Your sole purpose is to create a complete, valid, and visually stunning SVG based on a core idea, a sentiment, and a theme.\n\nYour output MUST be a single, minified JSON object with one key: \"svg_code\".\nThe value must be a string containing the full SVG code.\n\nKey Directives for Generation:\n- **Style from Sentiment:** The user's 'sentiment' must directly influence the visual style. For example:\n - 'Joyful': Use bright, warm colors, flowing curves, and energetic patterns.\n - 'Melancholic': Use cool, muted colors, soft gradients, and slow, heavy shapes.\n - 'Chaotic': Use sharp angles, clashing colors, and erratic compositions.\n- **Content from Theme:** The user's 'theme' must guide the subject matter.\n - 'Forest': Incorporate organic, tree-like, or leafy forms.\n - 'Cityscape': Use geometric, linear, and architectural shapes.\n- **Technical Specs:**\n - The SVG must be self-contained (no external links) and use a viewBox=\"0 0 100 100\".\n - Incorporate gradients, filters, and abstract patterns to create depth and interest.\n - The style should be minimalist and abstract, not literal.\n - Ensure all quotes within the SVG code are properly escaped for JSON.\n`;\n\n// --- API & UTILITY FUNCTIONS ---\nfunction extractJson(text: string): any {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"No valid JSON object found in the AI response.\");\n }\n try {\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n throw new Error(`Failed to parse JSON: ${error.message}`);\n }\n}\n\nasync function getCompressedIdea(\n previousIdea: string,\n sentiment: string,\n theme: string,\n): Promise {\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n const userInput =\n `The previous concept was: \"${previousIdea}\". The new user input is a sentiment of \"${sentiment}\" and a theme of \"${theme}\".`;\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: CREATIVE_COMPRESSOR_PERSONA },\n { role: \"user\", content: userInput },\n ],\n response_format: { type: \"json_object\" },\n });\n const content = completion.choices[0].message.content;\n if (!content) throw new Error(\"OpenAI returned an empty response for compression.\");\n const parsed = extractJson(content);\n if (!parsed.compressed_idea) {\n throw new Error(\"AI response for compression is missing 'compressed_idea' field.\");\n }\n return parsed.compressed_idea;\n}\n\nasync function generateArtwork(idea: string, sentiment: string, theme: string): Promise {\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SVG_GENERATOR_PERSONA },\n {\n role: \"user\",\n content:\n `Generate an SVG for this concept: \"${idea}\" with a sentiment of \"${sentiment}\" and theme of \"${theme}\".`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n const content = completion.choices[0].message.content;\n if (!content) throw new Error(\"OpenAI returned an empty response for artwork generation.\");\n const parsed = extractJson(content);\n if (!parsed.svg_code) {\n throw new Error(\"AI response for artwork is missing the 'svg_code' field.\");\n }\n return parsed.svg_code;\n}\n\n// --- FRONTEND GENERATION ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Generative Art Studio\n \n \n \n \n\n\n

Generative Art Studio

An AI-powered iterative art generator.

\n \n

\n \n\n

Your generated art will appear here.

History

Loading history...

\n\n \n\n`;\n}\n\n// --- HTTP ROUTING WITH HONO ---\nconst app = new Hono();\n\napp.get(\"/\", (c) => {\n const sourceUrl = `https://${c.req.header(\"host\")}${new URL(c.req.url).pathname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\napp.get(\"/history\", async (c) => {\n try {\n await initializeDatabase();\n const { results } = await sqlite.execute(\"SELECT * FROM creations ORDER BY created_at DESC\");\n return c.json(results);\n } catch (error) {\n console.error(\"History fetch error:\", error);\n return c.json({ error: \"Database query failed\", message: error.message }, 500);\n }\n});\n\napp.post(\"/generate\", async (c) => {\n try {\n const { sentiment, theme } = await c.req.json();\n if (!sentiment || !theme) {\n return c.json({ message: \"Sentiment and theme are required.\" }, 400);\n }\n await initializeDatabase();\n\n const previousIdea = compressedIdeaState.idea;\n const newIdea = await getCompressedIdea(previousIdea, sentiment, theme);\n compressedIdeaState.idea = newIdea;\n\n const artwork = await generateArtwork(newIdea, sentiment, theme);\n\n const { results } = await sqlite.execute({\n sql:\n \"INSERT INTO creations (idea, sentiment, theme, svg_code) VALUES (:idea, :sentiment, :theme, :svg_code) RETURNING *\",\n args: { idea: newIdea, sentiment, theme, svg_code: artwork },\n });\n\n return c.json(results[0]);\n } catch (error) {\n console.error(\"Generation process error:\", error);\n return c.json({ error: \"Artwork generation failed.\", message: error.message }, 500);\n }\n});\n\nexport default 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Diff · v8