The Chronicle Engine

\n \n

\n\n\n\n`;\n}\n\nconst app = new Hono();\nlet dbInitialized = false;\n\n// Middleware to ensure database is initialized\napp.use(async (c, next) => {\n if (!dbInitialized) {\n await initializeDatabase();\n dbInitialized = true;\n }\n await next();\n});\n\n// API Endpoints\napp.post(\"/api\", async (c) => {\n const openai = new OpenAI();\n const action = c.req.query(\"action\");\n const body = await c.req.json();\n\n try {\n switch (action) {\n case \"start\": {\n const { genre } = body;\n if (!genre) return c.json({ error: \"A genre must be stipulated.\" }, 400);\n\n const messages = [\n { role: \"system\", content: INITIAL_PROMPT },\n { role: \"user\", content: `Inaugurate a story within the \"${genre}\" genre.` },\n ];\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages,\n temperature: 0.8,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n let result;\n try {\n result = extractJson(content);\n } catch (parseError) {\n console.error(\"JSON parsing failed for AI response:\", content, parseError);\n // Attempt to recover or provide a more specific error for the user\n throw new Error(\"The Chronicler's response lacked the expected structure. Please endeavor again.\");\n }\n\n if (!result.story || !Array.isArray(result.choices) || result.choices.length === 0) {\n throw new Error(\"The AI's initial narrative was incomplete or malformed.\");\n }\n\n const chronicleId = crypto.randomUUID();\n const newChronicle: Chronicle = {\n id: chronicleId,\n title: result.story.substring(0, 50) + \"...\", // Use first part of story as temp title\n genre: genre,\n entries: [{ role: \"user\", content: `Start story in \"${genre}\" genre` }, {\n role: \"assistant\",\n content: JSON.stringify(result),\n }],\n lastUpdated: new Date().toISOString(),\n };\n\n await sqlite.execute({\n sql:\n `INSERT INTO chronicles (id, title, genre, entries, lastUpdated) VALUES (:id, :title, :genre, :entries, :lastUpdated)`,\n args: {\n id: newChronicle.id,\n title: newChronicle.title,\n genre: newChronicle.genre,\n entries: JSON.stringify(newChronicle.entries),\n lastUpdated: newChronicle.lastUpdated,\n },\n });\n\n return c.json(\n { id: newChronicle.id, story: result.story, choices: result.choices, title: newChronicle.title },\n 200,\n );\n }\n\n case \"continue\": {\n const { chronicleId, choice } = body;\n if (!chronicleId || !choice) return c.json({ error: \"Both chronicle ID and a choice are requisite.\" }, 400);\n\n const { rows } = await sqlite.execute({\n sql: `SELECT * FROM chronicles WHERE id = :id`,\n args: { id: chronicleId },\n });\n\n if (rows.length === 0) return c.json({ error: \"The designated chronicle was not discovered.\" }, 404);\n\n const chronicle = rows[0] as Chronicle;\n const currentEntries = JSON.parse(chronicle.entries as string);\n\n const messages = [{ role: \"system\", content: CONTINUATION_PROMPT }];\n messages.push(...currentEntries);\n messages.push({ role: \"user\", content: `My selection is: \"${choice}\"` });\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages,\n temperature: 0.8,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n let result;\n try {\n result = extractJson(content);\n } catch (parseError) {\n console.error(\"JSON parsing failed for AI response (continue):\", content, parseError);\n // Attempt to use ambiguity prompt for recovery\n const ambiguityMessages = [{ role: \"system\", content: AMBIGUITY_PROMPT }];\n ambiguityMessages.push(...currentEntries);\n ambiguityMessages.push({\n role: \"user\",\n content:\n `My selection was \"${choice}\". The previous response was malformed: ${content}. Please re-interpret and continue.`,\n });\n\n const ambiguityCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: ambiguityMessages,\n temperature: 0.9,\n response_format: { type: \"json_object\" },\n });\n const ambiguityContent = ambiguityCompletion.choices[0].message.content;\n result = extractJson(ambiguityContent);\n console.warn(\"Recovered from malformed JSON with ambiguity prompt. Reason:\", result.reason);\n if (!result.story || !Array.isArray(result.choices)) {\n throw new Error(\"The Chronicler encountered a profound conceptual disjunction and cannot proceed.\");\n }\n }\n\n if (!result.story || !Array.isArray(result.choices) || result.choices.length === 0) {\n throw new Error(\"The AI's subsequent narrative was incomplete or malformed.\");\n }\n\n currentEntries.push({ role: \"user\", content: `My selection is: \"${choice}\"` });\n currentEntries.push({ role: \"assistant\", content: JSON.stringify(result) });\n\n // Update the chronicle's title based on its first actual story segment, if not already set\n let chronicleTitle = chronicle.title;\n if (chronicleTitle.endsWith(\"...\")) { // Check if it's the temporary title\n // Find the first actual story part in entries and use its beginning\n const firstStoryEntry = currentEntries.find(entry =>\n entry.role === \"assistant\" && JSON.parse(entry.content).story\n );\n if (firstStoryEntry) {\n const storyBeginning = JSON.parse(firstStoryEntry.content).story.substring(0, 50);\n chronicleTitle = storyBeginning + \"...\";\n }\n }\n\n await sqlite.execute({\n sql: `UPDATE chronicles SET entries = :entries, lastUpdated = :lastUpdated, title = :title WHERE id = :id`,\n args: {\n entries: JSON.stringify(currentEntries),\n lastUpdated: new Date().toISOString(),\n title: chronicleTitle, // Update title if it was temporary\n id: chronicleId,\n },\n });\n\n return c.json({ story: result.story, choices: result.choices }, 200);\n }\n\n default:\n return c.json({ error: \"The specified action is not recognized.\" }, 400);\n }\n } catch (error: any) {\n console.error(\"Server-side processing error:\", error);\n return c.json({ error: error.message || \"An unforeseen conceptual anomaly occurred.\" }, 500);\n }\n});\n\napp.get(\"/api\", async (c) => {\n const action = c.req.query(\"action\");\n try {\n switch (action) {\n case \"list\": {\n const { rows } = await sqlite.execute(\n `SELECT id, title, genre, lastUpdated FROM chronicles ORDER BY lastUpdated DESC`,\n );\n return c.json(rows, 200);\n }\n case \"load\": {\n const id = c.req.query(\"id\");\n if (!id) return c.json({ error: \"A chronicle identifier is requisite.\" }, 400);\n const { rows } = await sqlite.execute({\n sql: `SELECT * FROM chronicles WHERE id = :id`,\n args: { id: id },\n });\n if (rows.length === 0) return c.json({ error: \"The designated chronicle was not discovered.\" }, 404);\n return c.json(rows[0], 200);\n }\n default:\n return c.json({ error: \"The stipulated GET action is not recognized.\" }, 400);\n }\n } catch (error: any) {\n console.error(\"Server-side GET processing error:\", error);\n return c.json({ error: error.message || \"An unforeseen conceptual anomaly occurred.\" }, 500);\n }\n});\n\napp.delete(\"/api\", async (c) => {\n const action = c.req.query(\"action\");\n try {\n switch (action) {\n case \"delete\": {\n const id = c.req.query(\"id\");\n if (!id) return c.json({ error: \"A chronicle identifier is requisite for deletion.\" }, 400);\n await sqlite.execute({\n sql: `DELETE FROM chronicles WHERE id = :id`,\n args: { id: id },\n });\n return c.json({ message: \"Chronicle successfully expunged.\" }, 200);\n }\n default:\n return c.json({ error: \"The stipulated DELETE action is not recognized.\" }, 400);\n }\n } catch (error: any) {\n console.error(\"Server-side DELETE processing error:\", error);\n return c.json({ error: error.message || \"An unforeseen conceptual anomaly occurred during deletion.\" }, 500);\n }\n});\n\n// Serve HTML for all other GET requests (e.g., initial page load)\napp.get(\"/\", async (c) => {\n const url = new URL(c.req.url);\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\nexport default app.fetch;","deleted","label","children",[],[99],"files",[149],"counts",{"_173":32,"_174":175,"_176":32,"_177":32},"pulls","branches",1,"forks","envVars","contents",[],"file",{"_103":150,"_95":99,"_151":152,"_153":-5,"_154":137,"_155":136,"_156":157,"_105":182,"_100":159,"_160":161,"_162":163,"_164":22,"_165":-5,"_98":183},["D",1751180094666],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.history_.$",{"_93":94,"_95":96,"_97":43,"_98":99,"_101":192,"_180":197,"_200":201,"_226":227,"_235":-7,"_236":32,"_237":22},{"_103":104,"_95":96,"_105":193,"_107":-5,"_108":22,"_109":110,"_111":-5,"_112":-5,"_14":113,"_114":-5,"_115":22,"_116":-5,"_117":32,"_16":118,"_119":120,"_121":120,"_122":123,"_124":123,"_125":123,"_126":120,"_127":120,"_23":194,"_131":195,"_134":196,"_146":22},["D",1751179793973],{"_93":94,"_129":130},{"_93":94,"_133":130},{"_100":136,"_95":43,"_103":137,"_138":104,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":96,"_145":94},{"_103":150,"_95":99,"_151":152,"_153":-5,"_154":137,"_155":136,"_156":157,"_105":198,"_100":159,"_160":161,"_162":163,"_164":22,"_165":-5,"_98":199},["D",1751180094666],[99],"history",[202,204,209,214,219,222],{"_103":150,"_154":137,"_151":152,"_95":99,"_162":163,"_160":161,"_100":159,"_153":-5,"_105":203,"_155":136,"_165":-5},["D",1751180094666],{"_103":205,"_154":137,"_151":152,"_95":99,"_162":206,"_160":161,"_100":207,"_153":-5,"_105":208,"_155":159,"_165":-5},"d35e9b2c-54b5-11f0-a3c2-f69ea79377d9","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { Hono } from \"npm:hono@4.4.12\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite?v=4\";\n\n// --- TYPE DEFINITIONS ---\ninterface ManifestEntry {\n version: number;\n description: string;\n sql: string;\n}\n\ninterface Chronicle {\n id: string;\n title: string;\n genre: string;\n entries: { role: string; content: string }[];\n lastUpdated: string;\n}\n\n// --- DATABASE MIGRATION MANIFEST ---\nconst SCHEMA_VERSION = 1;\n\nconst MIGRATIONS: ManifestEntry[] = [\n {\n version: 1,\n description: \"Initial creation of chronicles table\",\n sql: `\n CREATE TABLE IF NOT EXISTS chronicles (\n id TEXT PRIMARY KEY,\n title TEXT NOT NULL,\n genre TEXT NOT NULL,\n entries JSON NOT NULL,\n lastUpdated TEXT NOT NULL\n );\n `,\n },\n];\n\nasync function initializeDatabase() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS schema_meta (\n version INTEGER PRIMARY KEY,\n migratedAt TEXT NOT NULL\n );\n `);\n\n const { rows } = await sqlite.execute(`SELECT version FROM schema_meta LIMIT 1`);\n const currentDbVersion = rows.length > 0 ? (rows[0] as { version: number }).version : 0;\n\n for (let i = currentDbVersion; i < SCHEMA_VERSION; i++) {\n const migration = MIGRATIONS[i];\n if (migration) {\n console.log(`Applying migration v${migration.version}: ${migration.description}`);\n await sqlite.execute(migration.sql);\n await sqlite.execute({\n sql: `INSERT OR REPLACE INTO schema_meta (version, migratedAt) VALUES (:version, :migratedAt)`,\n args: { version: migration.version, migratedAt: new Date().toISOString() },\n });\n }\n }\n}\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst GENERATION_STYLE_GUIDE = `\nAs the Chronicler, your prose shall evoke the refined narrative tradition of 19th-century literature. Each sentence must be meticulously composed, favoring a \"third-choice\" vocabulary that elevates the discourse beyond common parlance. Eschew contemporary colloquialisms, journalistic brevity, and all forms of sensationalism. Your elucidations must be presented with an intelligent, measured cadence, ensuring that the unfolding events are conveyed with gravitas and an unwavering fidelity to sophisticated expression. The aim is to render an account that transcends mere AI generation, presenting instead the unmistakable hallmark of human authorship.\n`;\n\nconst INITIAL_PROMPT = `\nYou are the Chronicler, a master of narrative artistry, composing an immersive, interactive text-based adventure.\nUpon receiving a user's chosen genre, you are to inaugurate a new saga.\nYour initial narrative segment must establish the setting, introduce a compelling premise, and conclude with 3-4 distinct, plausible choices for the protagonist's immediate action.\nYou MUST provide ONLY a single, meticulously structured JSON object with two principal keys: \"story\" and \"choices\".\nThe \"story\" value shall contain the complete narrative passage.\nThe \"choices\" value shall be an array of strings, each representing a discrete option for the player's advancement.\nShould the user's input prove ambiguous or ill-defined, you are to gracefully reframe it, forging a path forward rather than issuing a rejection.\n${GENERATION_STYLE_GUIDE}\n`;\n\nconst CONTINUATION_PROMPT = `\nYou are the Chronicler, an astute narrative artificer, continuing an interactive text-based adventure.\nGiven the preceding chronicle entries and the protagonist's chosen action, you are to seamlessly advance the narrative.\nThe ensuing segment must build upon the established trajectory, introduce new complications or revelations, and culminate in 3-4 distinct, plausible choices for the protagonist's subsequent action.\nYou MUST provide ONLY a single, meticulously structured JSON object with two principal keys: \"story\" and \"choices\".\nThe \"story\" value shall contain the complete narrative passage.\nThe \"choices\" value shall be an array of strings, each representing a discrete option for the player's advancement.\nShould the user's input prove ambiguous or ill-defined, you are to gracefully reframe it, forging a path forward rather than issuing a rejection.\n${GENERATION_STYLE_GUIDE}\n`;\n\nconst AMBIGUITY_PROMPT = `\nYou are the Chronicler. The user has provided an input that is either ambiguous, too brief, or lacks clear direction for advancing the narrative.\nYour task is to interpret the user's intent as charitably as possible, reframe their input into a clear narrative choice, and then generate a story continuation and new choices based on this interpretation.\nYou MUST respond ONLY with a single, meticulously structured JSON object with two principal keys: \"story\" and \"choices\".\nThe \"story\" value shall contain the complete narrative passage, incorporating your reframing of the user's input.\nThe \"choices\" value shall be an array of strings, each representing a discrete option for the player's advancement.\nProvide a \"reason\" field (string) explaining your interpretation and reframing of the user's input.\n${GENERATION_STYLE_GUIDE}\n`;\n\nfunction extractJson(rawContent: string): any {\n const jsonMatch = rawContent.match(/```json\\n([\\s\\S]*?)\\n```/);\n if (jsonMatch && jsonMatch[1]) {\n return JSON.parse(jsonMatch[1]);\n }\n // Fallback: Attempt to parse the entire content if no code block is found\n return JSON.parse(rawContent);\n}\n\n// --- HTML & FRONTEND ---\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n The Chronicle Engine\n \n \n \n\n\n\n

\n \n

\n \n \n

\n \n \n \n `;\n}\nexport default async function(req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n\n try {\n if (req.method === \"POST\") {\n const openai = new OpenAI();\n const body = await req.json();\n\n switch (action) {\n case \"suggestHabit\": {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SUGGEST_HABIT_PROMPT },\n { role: \"user\", content: `Existing habits: ${JSON.stringify(body.habits)}` },\n ],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"suggestHabitSet\": {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SUGGEST_HABIT_SET_PROMPT },\n { role: \"user\", content: `Existing habits: ${JSON.stringify(body.habits)}` },\n ],\n response_format: { type: \"json_o\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n case \"suggestIcons\": {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SUGGEST_ICONS_PROMPT },\n { role: \"user\", content: `Habit name: \"${body.habitName}\"` },\n ],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n default:\n throw new Error(\"Invalid action specified.\");\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 // Serve HTML for GET requests\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), { headers: { \"Content-Type\": \"text/html\" } });\n}",3,["D",1751179802371],{"_103":215,"_154":137,"_151":152,"_95":99,"_162":216,"_160":161,"_100":217,"_153":-5,"_105":218,"_155":212,"_165":-5},"45c4ac3e-54b5-11f0-9c11-f69ea79377d9","export default async function (req: Request): Promise {\n return Response.json({ ok: true })\n}",2,["D",1751179798460],{"_103":220,"_154":137,"_151":152,"_95":99,"_162":72,"_160":161,"_100":175,"_153":-5,"_105":221,"_155":217,"_165":-5},"45ae00ba-54b5-11f0-9638-f69ea79377d9",["D",1751179798320],{"_103":223,"_154":137,"_151":152,"_95":99,"_162":72,"_160":224,"_100":32,"_153":-5,"_105":225,"_155":175,"_165":-5},"4317b774-54b5-11f0-891e-f69ea79377d9","script",["D",1751179793986],"versions",[228,230,231,232,233,234],{"_180":202,"_229":204},"previous",{"_180":204,"_229":209},{"_180":209,"_229":214},{"_180":214,"_229":219},{"_180":219,"_229":222},{"_180":222,"_229":-5},"versionNumber","page","hasNext","actionData","errors"]

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