[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-819":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":14,"forks30d":14,"starsTrendScore":18,"compositeScore":19,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":20,"topics":23,"createdAt":8,"pushedAt":8,"updatedAt":24,"readmeContent":25,"aiSummary":26,"trendingCount":14,"starSnapshotCount":14,"syncStatus":27,"lastSyncTime":28,"discoverSource":29},819,"nemesis","assai-id\u002Fnemesis","assai-id",null,"JavaScript",905,424,41,3,0,7,8,54,21,69.29,false,"main",true,[],"2026-06-12 04:00:05","# Nemesis\nNemesis is the public-facing investigative interface as the result of Operation Diponegoro, initiated by Abil Sudarman School of Artificial Intelligence. We ingest millions of rows of procurement data, surface anomalies, and make the findings legible to citizens, journalists, and policymakers.\n\nLive dashboard: https:\u002F\u002Fassai.id\u002Fnemesis\n\n\n> End the vampire ball.\n\n\n## Release Status\n\n| Asset | Status | ETA |\n|-------|--------|-----|\n| Fine-tuned model | 🟡 In progress | ? |\n| Scraping & Analyze source code | 🟡 In progress | ? |\n\n\n\nStay tuned.\n\n## Downloads\n\n### Dataset\n\n[Download SIRUP raw jsonl dataset (analyzed by GPT-5.4)](https:\u002F\u002Fcontenflowstorage.blob.core.windows.net\u002Fshared\u002Fgpt-5.4-analyzed-sirup.zip?sp=r&st=2026-04-16T12:00:08Z&se=2029-04-16T20:15:08Z&spr=https&sv=2025-11-05&sr=b&sig=m%2FATynnnZq5gSdP8xWWw2ew41EMJZz09fDQRwpbWolk%3D)\n\n[Download SIRUP dataset SQL Ver (analyzed by GPT-5.4-mini)](https:\u002F\u002Fcontenflowstorage.blob.core.windows.net\u002Fshared\u002Fdatasets\u002Fdashboard.sql?sp=r&st=2026-04-16T12:16:15Z&se=2029-04-16T20:31:15Z&spr=https&sv=2025-11-05&sr=b&sig=sKPH9uazyLcYcSwhARcEwVSG%2FTld9VnGJgZ2mOZIxrA%3D)\n\n\n### Model\nStay tuned\n\n### 1. Prepare the Database\n\nYou have two options for initializing the database:\n\n**Option A: Build from Raw Dataset (Recommended)**\nIf you downloaded the raw `jsonl` dataset, place the unzipped files inside a folder named `dataset\u002F` at the project root. Then dynamically compile the database:\n```bash\nnpm run db:reset\n```\n\n**Option B: Import the Pre-Analyzed V1 SQL Dump**\nIf you downloaded the `dashboard.sql` plain-text dump instead, you MUST compile it securely into the V2 SQLite binary format! Place `dashboard.sql` inside the `data\u002F` folder and run:\n```bash\n# 1. Delete any auto-generated corrupt binaries\nrm -f data\u002Fdashboard.sqlite\n\n# 2. Compile the 4.4GB text dump heavily into a binary SQLite database\nsqlite3 data\u002Fdashboard.sqlite \u003C data\u002Fdashboard.sql\n\n# 3. Patch the legacy V1 data to strictly support V2.0.0 analytics\nsqlite3 data\u002Fdashboard.sqlite \u003C data\u002Fpatch-v1-to-v2.sql\n```\n\n### 2. Run the Application\n\nThe frontend and backend have been unified into a seamless, high-performance Vite orchestrator. You no longer need to jump between directories or run Python servers!\n\nFor Production:\n```bash\nnpm install\nnpm run build && npm run start\n```\nFor Development:\n```bash\nnpm run dev\n```\n\nThe unified orchestrated server will boot automatically. Open your browser to the local URL explicitly printed in your terminal (usually `http:\u002F\u002F127.0.0.1:$PORT`).\n\n## Notes\n- **Cross-Platform:** The overarching terminal commands utilize `cross-env` internally. You can confidently run `npm run dev` and `npm run start` natively on Linux, macOS, or Windows without breaking environment pipelines.\n- **Enterprise Logging:** Node automatically writes rotating, highly-compressed (`gzip`) daily Apache logs to the `\u002Flogs` directory to safely prevent disk blowout under heavy traffic conditions.\n- There is no manual frontend build step required during development. Vite cleanly orchestrates HMR under the hood.\n- To physically compile a final production bundle and boot it, run `npm run build` followed by `npm run start`.\n\n## Environment\n\nConfiguration is securely loaded from the `.env` file located in the project root.\n\nCopy from example:\n```bash\ncp .env.example .env\n```\n","Nemesis 是一个由 Abil Sudarman 人工智能学校发起的公共调查界面，旨在处理数百万行采购数据，识别异常，并将发现结果以易于理解的方式呈现给市民、记者和政策制定者。该项目使用 JavaScript 构建，具备强大的数据分析与可视化能力，能够通过细粒度调整的模型和自动化爬虫技术来挖掘并展示数据中的潜在问题。适用于需要透明化政府采购流程、揭露腐败行为或进行大规模数据审计的场景。项目提供了详细的部署指南，支持跨平台运行，并且集成了高效的数据处理及前端展示解决方案。",2,"2026-06-11 02:39:33","CREATED_QUERY"]