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AND user_id = ?\",\n args: [resumeId, user.id],\n });\n if (resumeResult.rows.length > 0) {\n resumeText = (resumeResult.rows[0] as { content: string }).content;\n }\n }\n\n // Create session\n const sessionResult = await sqlite.execute({\n sql: \"INSERT INTO sessions (user_id, resume_id, role, difficulty) VALUES (?, ?, ?, ?)\",\n args: [user.id, resumeId || null, role, diff],\n });\n const sessionId = sessionResult.lastInsertRowid as number;\n\n // Generate questions\n const questions = await generateQuestions(role, diff, resumeText, count);\n\n // Insert questions\n for (let i = 0; i < questions.length; i++) {\n await sqlite.execute({\n sql: \"INSERT INTO questions (session_id, question_text, category, difficulty, order_idx) VALUES (?, ?, ?, ?, ?)\",\n args: [sessionId, questions[i].question, questions[i].category, questions[i].difficulty, i],\n });\n }\n\n // Fetch inserted questions with IDs\n const qResult = await sqlite.execute({\n sql: \"SELECT id, question_text, category, difficulty, order_idx FROM questions WHERE session_id = ? ORDER BY order_idx\",\n args: [sessionId],\n });\n\n return c.json({\n session: {\n id: sessionId,\n role,\n difficulty: diff,\n status: \"in_progress\",\n },\n questions: qResult.rows,\n });\n});\n\n// List user's sessions\nsessions.get(\"/list\", async (c) => {\n const user = await getAuthUser(c.req.raw);\n if (!user) return c.json({ error: \"Unauthorized\" }, 401);\n\n const result = await sqlite.execute({\n sql: `SELECT s.id, s.role, s.difficulty, s.status, s.created_at, s.completed_at,\n (SELECT COUNT(*) FROM questions q WHERE q.session_id = s.id) as total_questions,\n (SELECT COUNT(*) FROM answers a JOIN questions q ON a.question_id = q.id WHERE q.session_id = s.id) as answered_questions,\n (SELECT ROUND(AVG(a.score), 1) FROM answers a JOIN questions q ON a.question_id = q.id WHERE q.session_id = s.id) as avg_score\n FROM sessions s WHERE s.user_id = ? ORDER BY s.created_at DESC`,\n args: [user.id],\n });\n\n return c.json({ sessions: result.rows });\n});\n\n// Get session details with questions and answers\nsessions.get(\"/:id\", async (c) => {\n const user = await getAuthUser(c.req.raw);\n if (!user) return c.json({ error: \"Unauthorized\" }, 401);\n\n const id = parseInt(c.req.param(\"id\"));\n const sessionResult = await sqlite.execute({\n sql: \"SELECT * FROM sessions WHERE id = ? AND user_id = ?\",\n args: [id, user.id],\n });\n\n if (sessionResult.rows.length === 0) {\n return c.json({ error: \"Session not found\" }, 404);\n }\n\n const questionsResult = await sqlite.execute({\n sql: `SELECT q.id, q.question_text, q.category, q.difficulty, q.order_idx,\n a.id as answer_id, a.answer_text, a.score, a.feedback, a.strengths, a.improvements\n FROM questions q\n LEFT JOIN answers a ON a.question_id = q.id\n WHERE q.session_id = ? ORDER BY q.order_idx`,\n args: [id],\n });\n\n const answersResult = await sqlite.execute({\n sql: `SELECT a.score FROM answers a JOIN questions q ON a.question_id = q.id WHERE q.session_id = ?`,\n args: [id],\n });\n\n const scores = answersResult.rows.map((r) => (r as { score: number }).score).filter((s) => s !== null);\n const avgScore = scores.length > 0 ? (scores.reduce((a, b) => a + b, 0) / scores.length).toFixed(1) : null;\n\n return c.json({\n session: sessionResult.rows[0],\n questions: questionsResult.rows,\n avgScore: avgScore ? parseFloat(avgScore) : null,\n totalAnswered: scores.length,\n });\n});\n\n// Submit answer for a question\nsessions.post(\"/:id/answer\", async (c) => {\n const user = await getAuthUser(c.req.raw);\n if (!user) return c.json({ error: \"Unauthorized\" }, 401);\n\n const sessionId = parseInt(c.req.param(\"id\"));\n const body = await c.req.json();\n const { questionId, answer } = body;\n\n if (!questionId || !answer || answer.trim().length < 10) {\n return c.json({ error: \"Question ID and a meaningful answer (at least 10 characters) are required\" }, 400);\n }\n\n // Verify question belongs to user's session\n const qResult = await sqlite.execute({\n sql: `SELECT q.id, q.question_text, s.role FROM questions q\n JOIN sessions s ON q.session_id = s.id\n WHERE q.id = ? AND s.id = ? AND s.user_id = ?`,\n args: [questionId, sessionId, user.id],\n });\n\n if (qResult.rows.length === 0) {\n return c.json({ error: \"Question not found\" }, 404);\n }\n\n const question = qResult.rows[0] as { id: number; question_text: string; role: string };\n\n // Check if answer already exists — update if so\n const existingAnswer = await sqlite.execute({\n sql: \"SELECT id FROM answers WHERE question_id = ?\",\n args: [questionId],\n });\n\n // Score the answer\n const scoring = await scoreAnswer(question.question_text, answer, question.role);\n\n if (existingAnswer.rows.length > 0) {\n await sqlite.execute({\n sql: \"UPDATE answers SET answer_text = ?, score = ?, feedback = ?, strengths = ?, improvements = ? WHERE question_id = ?\",\n args: [answer, scoring.score, scoring.feedback, scoring.strengths, scoring.improvements, questionId],\n });\n } else {\n await sqlite.execute({\n sql: \"INSERT INTO answers (question_id, answer_text, score, feedback, strengths, improvements) VALUES (?, ?, ?, ?, ?, ?)\",\n args: [questionId, answer, scoring.score, scoring.feedback, scoring.strengths, scoring.improvements],\n });\n }\n\n return c.json({\n score: scoring.score,\n feedback: scoring.feedback,\n strengths: scoring.strengths,\n improvements: scoring.improvements,\n });\n});\n\n// Complete a session\nsessions.post(\"/:id/complete\", async (c) => {\n const user = await getAuthUser(c.req.raw);\n if (!user) return c.json({ error: \"Unauthorized\" }, 401);\n\n const id = parseInt(c.req.param(\"id\"));\n await sqlite.execute({\n sql: \"UPDATE sessions SET status = 'completed', completed_at = datetime('now') WHERE id = ? AND user_id = ?\",\n args: [id, user.id],\n });\n\n // Get final stats\n const result = await sqlite.execute({\n sql: `SELECT s.role, s.difficulty,\n (SELECT COUNT(*) FROM questions q WHERE q.session_id = s.id) as total_questions,\n (SELECT ROUND(AVG(a.score), 1) FROM answers a JOIN questions q ON a.question_id = q.id WHERE q.session_id = s.id) as avg_score\n FROM sessions s WHERE s.id = ?`,\n args: [id],\n });\n\n return c.json({ result: result.rows[0] });\n});\n\n// Get dashboard stats\nsessions.get(\"/stats/dashboard\", async (c) => {\n const user = await getAuthUser(c.req.raw);\n if (!user) return c.json({ error: \"Unauthorized\" }, 401);\n\n const sessionCount = await sqlite.execute({\n sql: \"SELECT COUNT(*) as count FROM sessions WHERE user_id = ?\",\n args: [user.id],\n });\n\n const completedCount = await sqlite.execute({\n sql: \"SELECT COUNT(*) as count FROM sessions WHERE user_id = ? AND status = 'completed'\",\n args: [user.id],\n });\n\n const avgScore = await sqlite.execute({\n sql: `SELECT ROUND(AVG(a.score), 1) as avg FROM answers a\n JOIN questions q ON a.question_id = q.id\n JOIN sessions s ON q.session_id = s.id\n WHERE s.user_id = ?`,\n args: [user.id],\n });\n\n const questionCount = await sqlite.execute({\n sql: `SELECT COUNT(*) as count FROM answers a\n JOIN questions q ON a.question_id = q.id\n JOIN sessions s ON q.session_id = s.id\n WHERE s.user_id = ?`,\n args: [user.id],\n });\n\n return c.json({\n totalSessions: (sessionCount.rows[0] as { count: number }).count,\n completedSessions: (completedCount.rows[0] as { count: number }).count,\n avgScore: (avgScore.rows[0] as { avg: number | null }).avg,\n totalQuestionsAnswered: (questionCount.rows[0] as { count: number }).count,\n });\n});\n\nexport default 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{ sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nexport async function initDB() {\n await sqlite.batch([\n {\n sql: `CREATE TABLE IF NOT EXISTS users (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n email TEXT UNIQUE NOT NULL,\n password_hash TEXT NOT NULL,\n name TEXT NOT NULL,\n created_at TEXT DEFAULT (datetime('now'))\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS resumes (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n user_id INTEGER NOT NULL,\n filename TEXT NOT NULL,\n content TEXT NOT NULL,\n uploaded_at TEXT DEFAULT (datetime('now')),\n FOREIGN KEY (user_id) REFERENCES users(id)\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS sessions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n user_id INTEGER NOT NULL,\n resume_id INTEGER,\n role TEXT NOT NULL,\n difficulty TEXT DEFAULT 'medium',\n status TEXT DEFAULT 'in_progress',\n created_at TEXT DEFAULT (datetime('now')),\n completed_at TEXT,\n FOREIGN KEY (user_id) REFERENCES users(id),\n FOREIGN KEY (resume_id) REFERENCES resumes(id)\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS questions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id INTEGER NOT NULL,\n question_text TEXT NOT NULL,\n category TEXT NOT NULL,\n difficulty TEXT NOT NULL,\n order_idx INTEGER DEFAULT 0,\n FOREIGN KEY (session_id) REFERENCES sessions(id)\n )`,\n },\n {\n sql: `CREATE TABLE IF NOT EXISTS answers (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n question_id INTEGER NOT NULL,\n answer_text TEXT NOT NULL,\n score INTEGER,\n feedback TEXT,\n strengths TEXT,\n improvements TEXT,\n created_at TEXT DEFAULT (datetime('now')),\n FOREIGN KEY (question_id) REFERENCES questions(id)\n )`,\n },\n ]);\n}\n",[],[149,180],"2337c6c0-01ed-4226-9f55-29e96ec04354","auth.ts","d3ce57d0-8030-11f1-badd-1607ee4eb77e",4,["D",1784108262493],"import { createHmac } from \"node:crypto\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { initDB } from \"./db.ts\";\n\nawait initDB();\n\nfunction hashPassword(password: string): string {\n const key = Deno.env.get(\"AUTH_SECRET\") || \"ai-interview-coach-default-salt\";\n return createHmac(\"sha256\", key).update(password).digest(\"hex\");\n}\n\nexport function generateToken(userId: number, email: string): string {\n const payload = `${userId}:${email}:${Date.now()}`;\n const key = Deno.env.get(\"AUTH_SECRET\") || \"ai-interview-coach-default-salt\";\n const sig = createHmac(\"sha256\", key).update(payload).digest(\"hex\");\n return btoa(`${payload}:${sig}`);\n}\n\nexport function verifyToken(token: string): { userId: number; email: string } | null {\n try {\n const decoded = atob(token);\n const parts = decoded.split(\":\");\n const userId = parseInt(parts[0]);\n const email = parts[1];\n const timestamp = parts[2];\n const sig = parts.slice(3).join(\":\");\n\n const payload = `${userId}:${email}:${timestamp}`;\n const key = Deno.env.get(\"AUTH_SECRET\") || \"ai-interview-coach-default-salt\";\n const expectedSig = createHmac(\"sha256\", key).update(payload).digest(\"hex\");\n\n if (sig !== expectedSig) return null;\n if (Date.now() - parseInt(timestamp) > 7 * 24 * 60 * 60 * 1000) return null;\n\n return { userId, email };\n } catch {\n return null;\n }\n}\n\nexport async function register(email: string, password: string, name: string) {\n if (!email || !password || !name) {\n return { error: \"Email, password, and name are required\", status: 400 };\n }\n if (password.length < 6) {\n return { error: \"Password must be at least 6 characters\", status: 400 };\n }\n\n const existing = await sqlite.execute({\n sql: \"SELECT id FROM users WHERE email = ?\",\n args: [email.toLowerCase()],\n });\n if (existing.rows.length > 0) {\n return { error: \"Email already registered\", status: 409 };\n }\n\n const hash = hashPassword(password);\n const result = await sqlite.execute({\n sql: \"INSERT INTO users (email, password_hash, name) VALUES (?, ?, ?)\",\n args: [email.toLowerCase(), hash, name],\n });\n\n const userId = result.lastInsertRowid as number;\n const token = generateToken(userId, email.toLowerCase());\n return { token, user: { id: userId, email: email.toLowerCase(), name } };\n}\n\nexport async function login(email: string, password: string) {\n if (!email || !password) {\n return { error: \"Email and password are required\", status: 400 };\n }\n\n const hash = hashPassword(password);\n const result = await sqlite.execute({\n sql: \"SELECT id, email, name FROM users WHERE email = ? AND password_hash = ?\",\n args: [email.toLowerCase(), hash],\n });\n\n if (result.rows.length === 0) {\n return { error: \"Invalid email or password\", status: 401 };\n }\n\n const user = result.rows[0] as { id: number; email: string; name: string };\n const token = generateToken(user.id, user.email);\n return { token, user: { id: user.id, email: user.email, name: user.name } };\n}\n\nexport async function getAuthUser(req: Request): Promise<{ id: number; email: string; name: string } | null> {\n const auth = req.headers.get(\"Authorization\");\n if (!auth || !auth.startsWith(\"Bearer \")) return null;\n const token = auth.slice(7);\n const payload = verifyToken(token);\n if (!payload) return null;\n\n const result = await sqlite.execute({\n sql: \"SELECT id, email, name FROM users WHERE id = ?\",\n args: [payload.userId],\n });\n if (result.rows.length === 0) return null;\n return result.rows[0] as { id: number; email: string; name: string };\n}\n",[],[149,188],"b2036ec3-b45d-4f0c-85c2-472796321345","ai.ts","c44a9468-8030-11f1-94af-1607ee4eb77e",["D",1784108236504],"// AI helper — uses OpenAI if OPENAI_API_KEY is set, otherwise falls back to\n// a built-in question bank and heuristic scoring.\n\nconst OPENAI_API_KEY = Deno.env.get(\"OPENAI_API_KEY\");\n\ninterface Question {\n question: string;\n category: string;\n difficulty: string;\n}\n\n// ─── Fallback Question Bank ──────────────────────────────────────────\nconst QUESTION_BANK: Record = {\n technical: [\n { question: \"Tell me about a challenging technical problem you solved recently. What was your approach?\", category: \"Problem Solving\", difficulty: \"medium\" },\n { question: \"How do you ensure code quality in your projects? Describe your testing strategy.\", category: \"Engineering Practices\", difficulty: \"medium\" },\n { question: \"Describe a time you had to learn a new technology quickly. How did you approach it?\", category: \"Adaptability\", difficulty: \"easy\" },\n { question: \"Walk me through the architecture of a system you designed. What trade-offs did you consider?\", category: \"System Design\", difficulty: \"hard\" },\n { question: \"How do you handle technical debt in a fast-moving codebase?\", category: \"Engineering Practices\", difficulty: \"hard\" },\n { question: \"Tell me about a production incident you dealt with. What was your role and how did you resolve it?\", category: \"Problem Solving\", difficulty: \"hard\" },\n ],\n behavioral: [\n { question: \"Tell me about yourself and why you're interested in this role.\", category: \"Introduction\", difficulty: \"easy\" },\n { question: \"Describe a conflict you had with a colleague and how you resolved it.\", category: \"Conflict Resolution\", difficulty: \"medium\" },\n { question: \"Tell me about a time you failed. What did you learn from it?\", category: \"Self-Awareness\", difficulty: \"medium\" },\n { question: \"Describe a situation where you had to persuade your team to adopt your idea.\", category: \"Leadership\", difficulty: \"medium\" },\n { question: \"How do you prioritize tasks when everything seems urgent?\", category: \"Time Management\", difficulty: \"easy\" },\n { question: \"Tell me about a time you went above and beyond what was expected.\", category: \"Initiative\", difficulty: \"easy\" },\n ],\n leadership: [\n { question: \"How do you mentor junior team members?\", category: \"Mentorship\", difficulty: \"medium\" },\n { question: \"Describe how you handle underperforming team members.\", category: \"People Management\", difficulty: \"hard\" },\n { question: \"Tell me about a strategic decision you made that had a significant impact.\", category: \"Strategy\", difficulty: \"hard\" },\n { question: \"How do you build trust within a newly formed team?\", category: \"Team Building\", difficulty: \"medium\" },\n ],\n general: [\n { question: \"What are your greatest strengths and how do they apply to this role?\", category: \"Self-Assessment\", difficulty: \"easy\" },\n { question: \"Where do you see yourself in five years?\", category: \"Career Goals\", difficulty: \"easy\" },\n { question: \"Why are you leaving your current position?\", category: \"Motivation\", difficulty: \"medium\" },\n { question: \"What questions do you have for us?\", category: \"Engagement\", difficulty: \"easy\" },\n { question: \"Describe your ideal work environment.\", category: \"Culture Fit\", difficulty: \"easy\" },\n { question: \"How do you stay current with developments in your field?\", category: \"Continuous Learning\", difficulty: \"medium\" },\n ],\n};\n\nexport async function generateQuestions(\n role: string,\n difficulty: string,\n resumeText: string | null,\n count: number = 5,\n): Promise {\n if (OPENAI_API_KEY) {\n try {\n return await generateQuestionsAI(role, difficulty, resumeText, count);\n } catch (e) {\n console.error(\"AI question generation failed, using fallback:\", e);\n }\n }\n return generateQuestionsFallback(role, difficulty, count);\n}\n\nasync function generateQuestionsAI(\n role: string,\n difficulty: string,\n resumeText: string | null,\n count: number,\n): Promise {\n const systemPrompt = `You are an expert interview coach. Generate exactly ${count} interview questions for a ${role} position at ${difficulty} difficulty. Return a JSON array of objects with fields: question, category, difficulty. Mix technical and behavioral questions appropriately for the role.`;\n\n const userPrompt = resumeText\n ? `Based on this resume, generate personalized interview questions:\\n\\n${resumeText.slice(0, 2000)}`\n : `Generate general interview questions for a ${role} role.`;\n\n const res = await fetch(\"https://api.openai.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${OPENAI_API_KEY}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"gpt-4o-mini\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt },\n ],\n response_format: { type: \"json_object\" },\n temperature: 0.8,\n }),\n });\n\n if (!res.ok) throw new Error(`OpenAI API error: ${res.status}`);\n const data = await res.json();\n const content = data.choices[0].message.content;\n const parsed = JSON.parse(content);\n const questions = parsed.questions || parsed;\n return questions.slice(0, count).map((q: any) => ({\n question: q.question,\n category: q.category || \"General\",\n difficulty: q.difficulty || difficulty,\n }));\n}\n\nfunction generateQuestionsFallback(role: string, difficulty: string, count: number): Question[] {\n const categories = [\"technical\", \"behavioral\", \"general\"];\n if (role.toLowerCase().includes(\"lead\") || role.toLowerCase().includes(\"manager\")) {\n categories.push(\"leadership\");\n }\n\n let pool: Question[] = [];\n for (const cat of categories) {\n const qs = QUESTION_BANK[cat] || [];\n pool.push(...qs.filter((q) => q.difficulty === difficulty || q.difficulty === \"easy\"));\n }\n if (pool.length < count) {\n for (const cat of categories) {\n pool.push(...(QUESTION_BANK[cat] || []));\n }\n }\n\n // Shuffle and pick\n const shuffled = [...pool].sort(() => Math.random() - 0.5);\n return shuffled.slice(0, Math.min(count, shuffled.length));\n}\n\n// ─── Answer Scoring ──────────────────────────────────────────────────\nexport interface ScoreResult {\n score: number;\n feedback: string;\n strengths: string;\n improvements: string;\n}\n\nexport async function scoreAnswer(\n question: string,\n answer: string,\n role: string,\n): Promise {\n if (OPENAI_API_KEY) {\n try {\n return await scoreAnswerAI(question, answer, role);\n } catch (e) {\n console.error(\"AI scoring failed, using fallback:\", e);\n }\n }\n return scoreAnswerFallback(question, answer);\n}\n\nasync function scoreAnswerAI(\n question: string,\n answer: string,\n role: string,\n): Promise {\n const systemPrompt = `You are an expert interview coach evaluating a candidate's answer for a ${role} position. Score from 1-10 and provide constructive feedback. Return JSON with fields: score (integer 1-10), feedback (string), strengths (string), improvements (string).`;\n\n const userPrompt = `Question: ${question}\\n\\nCandidate's Answer: ${answer}\\n\\nEvaluate this answer. Consider clarity, relevance, use of specific examples, and depth. Provide actionable feedback.`;\n\n const res = await fetch(\"https://api.openai.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${OPENAI_API_KEY}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"gpt-4o-mini\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt },\n ],\n response_format: { type: \"json_object\" },\n temperature: 0.3,\n }),\n });\n\n if (!res.ok) throw new Error(`OpenAI API error: ${res.status}`);\n const data = await res.json();\n const content = data.choices[0].message.content;\n const parsed = JSON.parse(content);\n return {\n score: Math.max(1, Math.min(10, parsed.score || 5)),\n feedback: parsed.feedback || \"\",\n strengths: parsed.strengths || \"\",\n improvements: parsed.improvements || \"\",\n };\n}\n\nfunction scoreAnswerFallback(question: string, answer: string): ScoreResult {\n const words = answer.trim().split(/\\s+/);\n const wordCount = words.length;\n const hasExample = /example|instance|when i|at my|project|situation|once|time when/i.test(answer);\n const hasStructure = /first|then|after|finally|because|so that|as a result|therefore|consequently/i.test(answer);\n const hasMetrics = /increased|decreased|reduced|improved|%\\d|\\d+%|\\d+ (hours|days|weeks|months|users|customers|percent)/i.test(answer);\n\n let score = 3;\n const strengths: string[] = [];\n const improvements: string[] = [];\n\n if (wordCount >= 50) { score += 1; strengths.push(\"Sufficient detail provided\"); }\n else { improvements.push(\"Provide more detail — aim for at least 3-4 sentences using the STAR method\"); }\n\n if (hasExample) { score += 2; strengths.push(\"Good use of specific examples\"); }\n else { improvements.push(\"Include a concrete example from your experience\"); }\n\n if (hasStructure) { score += 1; strengths.push(\"Logical structure in the response\"); }\n else { improvements.push(\"Structure your answer using STAR: Situation, Task, Action, Result\"); }\n\n if (hasMetrics) { score += 2; strengths.push(\"Excellent use of quantifiable results\"); }\n else { improvements.push(\"Add measurable outcomes (e.g., 'reduced load time by 40%')\"); }\n\n if (wordCount >= 150) { score += 1; strengths.push(\"Comprehensive response\"); }\n\n score = Math.max(1, Math.min(10, score));\n\n const feedback = score >= 8\n ? \"Excellent answer! This response is well-structured and demonstrates strong communication skills.\"\n : score >= 6\n ? \"Good answer with room for improvement. Focus on making it more specific and structured.\"\n : score >= 4\n ? \"Fair answer. Try to provide more concrete examples and quantifiable results.\"\n : \"This answer needs significant improvement. Use the STAR method and add specific examples.\";\n\n return {\n score,\n feedback,\n strengths: strengths.join(\"; \"),\n improvements: improvements.join(\"; \"),\n };\n}\n",[],[149,196],["D",1784108236504],[166,167,168,169],[149],["D",1784107974931],["D",1789527031073],{"_105":104,"_113":109},{"_105":104,"_106":107,"_108":109,"_19":60,"_110":111,"_112":30},{"_13":94,"_37":95,"_48":47,"_96":49,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":-5,"_102":50,"_103":104},"ctx",{"_87":-5,"_133":243,"_244":245,"_246":247,"_248":30,"_249":30,"_250":30,"_251":64,"_252":-5,"_253":-7,"_254":-7,"_255":68,"_256":30,"_257":30,"_258":-5,"_259":30,"_260":30,"_261":30,"_262":-5},"ENV",{"_214":215,"_216":217,"_218":95,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230,"_231":232,"_233":234,"_235":236,"_237":238,"_239":240,"_241":242},"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 · v5