chore: initial commit

Author: rjoydip

.env.example

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+# Add your secrets
+CLOUDFLARE_API_TOKEN=your_token
+CLOUDFLARE_ACCOUNT_ID=your_account_id

.github/workflows/ci.yml

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+name: CI
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: oven-sh/setup-bun@v1
+        with:
+          bun-version: latest
+
+      - name: Install dependencies
+        run: bun install
+
+      - name: Type check
+        run: bun run typecheck
+
+      - name: Lint
+        run: bun run lint
+
+      - name: Test
+        run: bun run test
+
+      - name: Upload coverage
+        uses: actions/upload-artifact@v4
+        with:
+          name: coverage
+          path: coverage/
+
+      - name: Deploy to Cloudflare
+        run: bun run deploy
+        env:
+          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
+          CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}

.gitignore

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+# dependencies (bun install)
+node_modules
+
+# output
+out
+dist
+*.tgz
+
+# code coverage
+coverage
+*.lcov
+
+# logs
+logs
+_.log
+report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
+
+# dotenv environment variable files
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# caches
+.eslintcache
+.cache
+*.tsbuildinfo
+
+# IntelliJ based IDEs
+.idea
+
+# Finder (MacOS) folder config
+.DS_Store
+
+# Wrangler 
+.wrangler

.husky/pre-commit

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+bun run lint:fix
+bun run typecheck

README.md

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+# lablet.ai
+
+## Architecture
+
+```mermaid
+
+flowchart TD
+    subgraph Sources
+        BB[Bitbucket]
+        GH[GitHub]
+        GL[GitLab]
+    end
+
+    subgraph EventIngestion
+        WH[Webhook Service]
+        Q[Queue System]
+        C[Cache Layer]
+    end
+
+    subgraph Processing
+        CF[Cloudflare Workers]
+        AI[AI Processing Service]
+        AGG[Aggregator Service]
+    end
+
+    subgraph Storage
+        DB[(Database)]
+        ML[(Model Training Data)]
+    end
+
+    subgraph Output
+        LAB[Labeling Service]
+        API[API Service]
+    end
+
+    BB --> WH
+    GH --> WH
+    GL --> WH
+    WH --> Q
+    Q --> CF
+    CF --> C
+    C --> AI
+    AI --> AGG
+    AGG --> LAB
+    LAB --> DB
+    LAB --> ML
+    LAB --> API
+    ML --> AI
+```

bun.lock

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+import antfu from '@antfu/eslint-config'
+
+export default antfu({
+  typescript: true,
+  ignores: ['dist', '.wrangler', 'coverage'],
+})

eslint.config.mjs

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+{
+  "name": "lablet.ai",
+  "type": "module",
+  "private": true,
+  "module": "src/worker.ts",
+  "scripts": {
+    "prepare": "husky",
+    "dev": "wrangler dev",
+    "deploy": "wrangler deploy",
+    "test": "vitest run",
+    "lint": "eslint .",
+    "lint:fix": "eslint . --fix",
+    "typecheck": "tsc --noEmit"
+  },
+  "peerDependencies": {
+    "typescript": "^5.7.3"
+  },
+  "dependencies": {
+    "ai": "^4.1.46",
+    "hono": "^4.7.2",
+    "std-env": "^3.8.0",
+    "workers-ai-provider": "^0.0.13",
+    "zod": "^3.24.2"
+  },
+  "devDependencies": {
+    "@antfu/eslint-config": "^4.3.0",
+    "@cloudflare/vitest-pool-workers": "^0.7.3",
+    "@cloudflare/workers-types": "^4.20250224.0",
+    "@types/bun": "1.2.3",
+    "@types/node": "^22.13.5",
+    "@vitest/coverage-v8": "^3.0.7",
+    "bun-types": "^1.2.4",
+    "eslint": "^9.21.0",
+    "husky": "^9.1.7",
+    "typescript": "^5.7.3",
+    "vitest": "^3.0.7",
+    "wrangler": "^3.110.0"
+  }
+}

package.json

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+import { env } from 'std-env'
+
+export const ENV = {
+  CACHE_TTL: Number.parseInt(env.CACHE_TTL || '3600'),
+  CACHE_NAMESPACE: env.CACHE_NAMESPACE || 'labelit-ai',
+  MODEL_NAME: env.MODEL_NAME || '@cf/meta/llama-3.1-8b-instruct',
+}

src/config/environment.ts

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+import type { Bindings } from '@/types'
+import type { ProcessedTicket, TicketData } from '@/types/ticket'
+import type { LanguageModelV1 } from 'ai'
+import { ENV } from '@/config/environment'
+import { generateText } from 'ai'
+import { createWorkersAI } from 'workers-ai-provider'
+
+export class AIProcessor {
+  private model: LanguageModelV1
+  private systemPrompt: string
+
+  constructor(env: Bindings) {
+    const workersai = createWorkersAI({ binding: env.AI })
+    this.model = workersai(ENV.MODEL_NAME, {
+      safePrompt: true,
+    })
+    this.systemPrompt = `
+      You are a ticket classification system. Classify tickets as either Bug, Story, Task, or Spike.
+
+      - Bugs: Issues or unexpected behavior
+      - Stories: User-facing features
+      - Tasks: Technical work items
+      - Spikes: Research or exploration items
+    
+      Respond only with the classification label.
+    `
+  }
+
+  public async classifyTicket(ticket: TicketData): Promise<ProcessedTicket | Error> {
+    const startTime = Date.now()
+    const userContent = `Title: ${ticket.title}\nDescription: ${ticket.description}`
+
+    const { text } = await generateText({
+      model: this.model,
+      messages: [{
+        role: 'system',
+        content: this.systemPrompt,
+      }, {
+        role: 'user',
+        content: userContent,
+      }],
+    })
+
+    const result: ProcessedTicket = {
+      ...ticket,
+      predictedLabel: this.parseResponse(text),
+      processingTime: Date.now() - startTime,
+    }
+
+    return result
+  }
+
+  private parseResponse(response: string): ProcessedTicket['predictedLabel'] {
+    const normalized = response.trim().toLowerCase()
+    if (normalized.includes('bug'))
+      return 'Bug'
+    if (normalized.includes('story'))
+      return 'Story'
+    if (normalized.includes('spike'))
+      return 'Spike'
+    return 'Task'
+  }
+}