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GitHub Issues Analyzer

\n \n \n

🔍 Analyzing repository...

This may take a few minutes for large repositories.

\n\n \n\n","\n\n\n \n \n Supercharge your top-ups - Kilo Code\n \n\n\n \n \n

\n ${\n isActive\n ? `\n

\n $ multiplier expires --in 10d:02h:16m:18s\n

\n `\n : \"\"\n }\n \n

{ Supercharge your top-ups }

Every $1 now becomes $${TOPUP_BONUS_MULTIPLIER}.

\n \n

multiplier.config

\n \n

\n [${TOPUP_BONUS_MULTIPLIER}×]\n

\n \n ${isActive ? \"

▶ ACTIVE

\" : \"

○ INACTIVE

\"}\n

\n \n

\n Every dollar you top-up gets multiplied by [${TOPUP_BONUS_MULTIPLIER}×]. An example:\n

\n \n

YOUR TOP-UP

$${exampleAmount}

\n \n

→

\n \n

MULTIPLIER

[${TOPUP_BONUS_MULTIPLIER}×]

\n \n

→

\n \n

YOUR BALANCE

$${exampleResult}

\n \n \n

\n \n \n\n","createdAt",["D",1753135876419],"branchVersion","branchId","c29e8b40-61f2-11f0-93e9-0224a6c84d84","id","c29e33a2-61f2-11f0-93e9-0224a6c84d84","analyze-github-issues",["D",1752635572357],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Let AI categorize GitHub issues into topics and subcategories","imageUrl","c156eb0e-8b9d-4104-a055-502e9a0eb441","pinnedFileId","29173144-61f6-11f0-b506-0224a6c84d84","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",3,"orgId","2019e55b-c541-4c51-bef0-008eef10ef88","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_103":99},"org",{"_96":95,"_97":-5,"_98":99,"_18":54,"_100":101,"_102":25},"branch",{"_13":85,"_32":86,"_42":41,"_87":43,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":44,"_94":95},"isOwned",174,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","charmaine","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJ4cFpFME5pSXNZamJNd296dlZSYVJ0OVF1RSJ9","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":216,"_46":-5,"_47":25,"_48":49,"_50":49,"_51":52,"_53":-5,"_18":54,"_55":56,"_57":58,"_59":58,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":217,"_80":218,"_82":219,"_84":25},"tree",[191,192,193,194,195,196],"files",[191,192,193,194,195,196],"counts",{"_179":180,"_181":182,"_183":139,"_184":185,"_186":187},"contents",[126,127,128,129,130,131],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_42":171,"_32":172,"_30":173,"_135":-5,"_40":41,"_39":174,"_137":58,"_37":175,"_13":176,"_33":20,"_34":177,"_24":25,"_142":-5,"_27":178},{"_42":163,"_32":164,"_30":165,"_135":-5,"_40":41,"_39":166,"_137":58,"_37":167,"_13":168,"_33":140,"_34":169,"_24":25,"_142":-5,"_27":170},{"_42":159,"_32":28,"_30":31,"_135":-5,"_40":41,"_39":14,"_137":25,"_37":160,"_13":161,"_33":20,"_34":36,"_24":25,"_142":-5,"_27":162},{"_42":152,"_32":153,"_30":56,"_135":-5,"_40":41,"_39":154,"_137":58,"_37":155,"_13":149,"_33":156,"_34":157,"_24":25,"_142":-5,"_27":158},{"_42":144,"_32":145,"_30":146,"_135":-5,"_40":41,"_39":147,"_137":58,"_37":148,"_13":149,"_33":140,"_34":150,"_24":25,"_142":-5,"_27":151},{"_42":132,"_32":133,"_30":134,"_135":-5,"_40":41,"_39":136,"_137":58,"_37":138,"_13":139,"_33":140,"_34":141,"_24":25,"_142":-5,"_27":143},"3381ebe8-634e-11f0-91c3-0224a6c84d84","utils.ts","1fd9649e-634a-11f0-ba73-0224a6c84d84","parentId",162,"latest",["D",1752784797077],2,"script","import { getAllIssues } from './github.ts'\n\ninterface Issue {\n number: number\n title: string\n body: string\n}\n\ninterface Subcategory {\n issues: Issue[]\n count: number\n}\n\ninterface Topic {\n name: string\n subcategories: {\n \"Big ticket\": Subcategory\n \"Bugs\": Subcategory\n \"Enhancements\": Subcategory\n \"Nice to haves\": Subcategory\n }\n}\n\nconst createBatches = (array: T[], size: number): T[][] => \n Array.from({ length: Math.ceil(array.length / size) }, (_, i) => \n array.slice(i * size, i * size + size))\n\nconst mergeTopicResults = (allBatchTopics: any[]) => {\n const topicMap = new Map()\n \n for (const { topics } of allBatchTopics) {\n for (const topic of topics) {\n const existing = topicMap.get(topic.name)\n \n if (existing) {\n Object.keys(topic.subcategories).forEach(key => {\n existing.subcategories[key].push(...topic.subcategories[key])\n })\n } else {\n topicMap.set(topic.name, {\n name: topic.name,\n subcategories: Object.fromEntries(\n Object.entries(topic.subcategories).map(([key, values]) => [key, [...values as any[]]])\n )\n })\n }\n }\n }\n \n return { topics: Array.from(topicMap.values()) }\n}\n\nasync function categorizeBatch(issues: any[]) {\n const processedIssues = issues.map(issue => ({\n number: issue.number,\n title: issue.title,\n body: issue.body?.substring(0, 500) || ''\n }))\n\n const { categorizeIssues: categorizeWithAI } = await import('./openai.ts')\n return categorizeWithAI(processedIssues)\n}\n\nasync function categorizeIssues(issues: any[], batchSize = 30) {\n if (issues.length === 0) return { topics: [] }\n if (issues.length <= batchSize) return categorizeBatch(issues)\n \n const batches = createBatches(issues, batchSize)\n console.log(`Processing ${issues.length} issues in ${batches.length} batches`)\n \n const allBatchTopics = []\n for (let i = 0; i < batches.length; i++) {\n console.log(`Processing batch ${i + 1}/${batches.length} (${batches[i].length} issues)`)\n \n allBatchTopics.push(await categorizeBatch(batches[i]))\n \n if (i < batches.length - 1) {\n await new Promise(resolve => setTimeout(resolve, 1000))\n }\n }\n \n return mergeTopicResults(allBatchTopics)\n}\n\nexport async function extractTopics(issues: Issue[]): Promise {\n if (issues.length === 0) return []\n\n const aiCategorization = await categorizeIssues(issues)\n \n const topics: Topic[] = aiCategorization.topics.map((topic: any) => {\n const subcategories = Object.fromEntries(\n [\"Big ticket\", \"Bugs\", \"Enhancements\", \"Nice to haves\"].map(categoryName => {\n const topicIssues = issues.filter(issue => topic.subcategories[categoryName].includes(issue.number))\n return [categoryName, {\n issues: topicIssues,\n count: topicIssues.length\n }]\n })\n ) as Topic['subcategories']\n \n return {\n name: topic.name,\n subcategories\n }\n })\n\n const totalCount = (topic: Topic) => Object.values(topic.subcategories).reduce((sum, category) => sum + category.count, 0)\n return topics.filter(topic => totalCount(topic) > 0).sort((a, b) => totalCount(b) - totalCount(a))\n}\n\nexport async function analyzeRepository(repo: string) {\n const issues = await getAllIssues(repo)\n const topics = await extractTopics(issues)\n \n return {\n repository: repo,\n totalIssues: issues.length,\n topics: topics.map(topic => ({\n name: topic.name,\n subcategories: Object.fromEntries(\n Object.entries(topic.subcategories).map(([name, category]: [string, any]) => [\n name,\n {\n count: category.count,\n issues: category.issues.map((issue: any) => ({\n number: issue.number,\n title: issue.title\n }))\n }\n ])\n )\n }))\n }\n}\n\nexport function formatAsMarkdown(result: any): string {\n const { repository, topics } = result\n \n return topics.map((topic: any) => {\n let markdown = `# ${topic.name}\\n\\n`\n \n [\"Big ticket\", \"Bugs\", \"Enhancements\", \"Nice to haves\"].forEach(categoryName => {\n const category = topic.subcategories[categoryName]\n if (category.count > 0) {\n markdown += `**${categoryName}**\\n\\n`\n category.issues.forEach((issue: any) => {\n markdown += `* [${issue.title} #${issue.number}](https://github.com/${repository}/issues/${issue.number})\\n`\n })\n markdown += '\\n'\n }\n })\n \n return markdown\n }).join('\\n---\\n\\n')\n}","label",[133],"3395f052-634e-11f0-b93a-0224a6c84d84","openai.ts","291c39dc-61f6-11f0-b000-0224a6c84d84",164,["D",1752784797077],26,"import OpenAI from 'npm:openai'\n\nconst openai = new OpenAI({\n apiKey: Deno.env.get('OPENAI_API_KEY')\n})\n\nexport async function categorizeIssues(issues: any[]) {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [{ role: \"user\", content: `Analyze these GitHub issues and categorize them into a two-level system:\n\n1. First identify 3-6 main topic areas (e.g., Authentication, Performance, UI/UX, API, etc.)\n2. Within each main topic, categorize issues into exactly these 4 subcategories:\n - \"Big ticket\": Major features, architectural changes, complex implementations\n - \"Bugs\": Bug fixes, errors, broken functionality\n - \"Enhancements\": Improvements to existing features, optimizations\n - \"Nice to haves\": Optional features, quality of life improvements\n\nIssues:\n${issues.map(issue => `#${issue.number}: ${issue.title}\\nBody: ${issue.body}\\n---`).join('\\n')}\n\nReturn a JSON object with:\n- topics: array of main topic objects, each containing:\n - name: descriptive main topic name (e.g., \"Authentication\", \"Performance\")\n - subcategories: object with exactly these 4 keys:\n - \"Big ticket\": array of issue numbers\n - \"Bugs\": array of issue numbers \n - \"Enhancements\": array of issue numbers\n - \"Nice to haves\": array of issue numbers\n\nEvery issue should be assigned to exactly one main topic and one subcategory within that topic.` }],\n response_format: { type: \"json_object\" },\n temperature: 0.3,\n max_tokens: 4000\n })\n\n const aiResponse = completion.choices[0].message.content\n if (!aiResponse) throw new Error('OpenAI returned empty response')\n \n try {\n return JSON.parse(aiResponse)\n } catch (error) {\n console.error('Failed to parse OpenAI response:', aiResponse.substring(0, 1000) + '...')\n \n // Try to repair truncated JSON by finding the last complete array\n try {\n const truncatedResponse = aiResponse.substring(0, aiResponse.lastIndexOf('],'))\n const repairedResponse = truncatedResponse + ']}}]}'\n return JSON.parse(repairedResponse)\n } catch (repairError) {\n throw new Error(`Invalid JSON response from OpenAI: ${error.message}`)\n }\n }\n}",[145],"2005b5ee-634a-11f0-9a84-0224a6c84d84","main.ts",140,["D",1752783046224],"http","import { Hono } from 'npm:hono'\nimport { serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\"\nimport { analyzeRepository, formatAsMarkdown } from './utils.ts'\n\nconst app = new Hono()\n\napp.get('/', async (c) => {\n return serveFile('./index.html', import.meta.url)\n})\n\napp.post('/analyze-issues', async (c) => {\n const { repo } = await c.req.json()\n return c.json(await analyzeRepository(repo))\n})\n\napp.post('/analyze-issues/markdown', async (c) => {\n const { repo } = await c.req.json()\n const result = await analyzeRepository(repo)\n return c.text(formatAsMarkdown(result), 200, { 'Content-Type': 'text/plain; charset=utf-8' })\n})\n\napp.get('/analyze/:owner/:repo/markdown', async (c) => {\n const fullRepo = `${c.req.param('owner')}/${c.req.param('repo')}`\n const result = await analyzeRepository(fullRepo)\n return c.text(formatAsMarkdown(result), 200, { 'Content-Type': 'text/plain; charset=utf-8' })\n})\n\nexport default app.fetch",[153],"9f14d31e-667f-11f0-a043-0224a6c84d84",["D",1753135876419],6,[28],"720924da-6349-11f0-bb39-0224a6c84d84","github.ts","293f8ff4-61f6-11f0-97cb-0224a6c84d84",128,["D",1752782754536],15,"import { fetch } from \"https://esm.town/v/std/fetch\";\n\nexport async function getAllIssues(repo: string) {\n const issues = []\n let currentPage = 1\n \n while (true) {\n const response = await fetch(\n `https://api.github.com/repos/${repo}/issues?per_page=100&page=${currentPage}&state=open`\n )\n \n if (!response.ok) {\n console.error(`GitHub API error: ${response.status} ${response.statusText}`)\n break\n }\n \n const apiResponse = await response.json()\n \n if (!Array.isArray(apiResponse) || apiResponse.length === 0) break\n \n // GitHub clumps PRs and issues together, so need to filter\n const filteredIssues = apiResponse.filter((issue: any) => !issue.pull_request)\n \n issues.push(...filteredIssues.map((issue: any) => ({\n number: issue.number,\n title: issue.title,\n body: issue.body || ''\n })))\n \n currentPage++\n }\n \n return issues\n}\n\n",[164],"f4cae1ba-634e-11f0-bf51-0224a6c84d84","README.md","62bc1fbc-634b-11f0-af18-0224a6c84d84",172,["D",1752785121390],10,"# GitHub Issues Analyzer\n\nAutomatically categorizes GitHub issues into topics and subcategories using AI.\n\n![](https://filedumpthing.val.run/blob/blob_file_1752785055909_CleanShot%202025-07-17%20at%2016.42.08.gif)\n\n## Setup\n\n1. **Remix this val** (top right)\n\n2. **Environment Variables** (left sidebar)\n ```bash\n OPENAI_API_KEY=your_openai_api_key_here\n ```\n\n## Customization\n\nEdit the system prompt in `openai.ts` to change how issues are categorized.\n\n## Output\n\nIssues are grouped into:\n- **Big ticket**: Major features, architectural changes\n- **Bugs**: Bug fixes, errors \n- **Enhancements**: Improvements to existing features\n- **Nice to haves**: Optional features\n\nEach topic gets its own markdown section with clickable GitHub 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Diff · v173