{"id":47908577,"url":"https://github.com/n-t-raghava/natquery","last_synced_at":"2026-04-14T13:01:38.332Z","repository":{"id":344186219,"uuid":"1180845646","full_name":"N-T-Raghava/NatQuery","owner":"N-T-Raghava","description":"natquery is a Python package that enables users to interact with relational databases using natural language via a secure, performance-aware command-line interface along with database driven machine learning analytics.","archived":false,"fork":false,"pushed_at":"2026-04-14T11:31:50.000Z","size":107,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-14T12:24:43.507Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/N-T-Raghava.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-13T13:26:56.000Z","updated_at":"2026-04-14T11:57:05.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/N-T-Raghava/NatQuery","commit_stats":null,"previous_names":["n-t-raghava/natquery"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/N-T-Raghava/NatQuery","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/N-T-Raghava%2FNatQuery","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/N-T-Raghava%2FNatQuery/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/N-T-Raghava%2FNatQuery/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/N-T-Raghava%2FNatQuery/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/N-T-Raghava","download_url":"https://codeload.github.com/N-T-Raghava/NatQuery/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/N-T-Raghava%2FNatQuery/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31797376,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-14T11:13:53.975Z","status":"ssl_error","status_checked_at":"2026-04-14T11:13:53.299Z","response_time":153,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-04-04T05:02:21.140Z","updated_at":"2026-04-14T13:01:38.325Z","avatar_url":"https://github.com/N-T-Raghava.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NatQuery\n\n[![PyPI Version](https://img.shields.io/pypi/v/natquery)](https://pypi.org/project/natquery/)\n[![codecov](https://codecov.io/gh/N-T-Raghava/natquery/graph/badge.svg?token=KZIEXD9ALC)](https://codecov.io/gh/N-T-Raghava/natquery)\n[![Type Checked](https://img.shields.io/badge/mypy-checked-blue)](https://github.com/python/mypy)\n[![Code Style: Black](https://img.shields.io/badge/code%20style-black-000000)](https://github.com/psf/black)\n[![license](https://img.shields.io/github/license/mashape/apistatus.svg)]((https://img.shields.io/github/license/mashape/apistatus.svg))\n\nnatquery is a Python package that enables users to interact with relational databases using natural language via a secure, performance-aware command-line interface along with database driven machine learning analytics.\n\n```\nnatquery/\n│\n├── pyproject.toml\n├── README.md\n├── requirements.txt\n│── src/\n├   ├── natquery/\n│       ├── __init__.py\n│\n│       # =========================\n│       # 1. CLI LAYER\n│       # =========================\n│       ├── cli/\n│       │   ├── __init__.py\n│       │   ├── main.py              # Entry point\n│       │   ├── shell.py             # Interactive REPL\n│       │   ├── commands.py          # CLI command registry\n│\n│       # =========================\n│       # 2. CONFIG LAYER\n│       # =========================\n│       ├── config/\n│       │   ├── __init__.py\n│       │   ├── settings.py          # API keys, DB config\n│       │   ├── connection.py        # PostgreSQL connection manager\n│\n│       # =========================\n│       # 3. ORCHESTRATION LAYER\n│       # =========================\n│       ├── orchestration/\n│       │   ├── __init__.py\n│       │   ├── pipeline.py          # End-to-end coordinator\n│       │   ├── error_handler.py\n│\n│       # =========================\n│       # 4. SCHEMA MODULE\n│       # =========================\n│       ├── schema/\n│       │   ├── __init__.py\n│       │   ├── extractor.py         # Dynamic schema extraction\n│       │   ├── formatter.py         # Convert schema to prompt-friendly text\n│\n│       # =========================\n│       # 5. PROMPT BUILDER\n│       # =========================\n│       ├── prompt/\n│       │   ├── __init__.py\n│       │   ├── builder.py           # Structured prompt construction\n│\n│       # =========================\n│       # 6. LLM CLIENT\n│       # =========================\n│       ├── llm/\n│       │   ├── __init__.py\n│       │   ├── client.py            # LLM API calls\n│       │   ├── self_corrector.py    # Retry \u0026 correction mechanism\n│\n│       # =========================\n│       # 7. SECURITY + VALIDATION\n│       # =========================\n│       ├── security/\n│       │   ├── __init__.py\n│       │   ├── validator.py         # SELECT-only enforcement\n│       │   ├── limiter.py           # LIMIT enforcement\n│\n│       # =========================\n│       # 8. EXECUTION ENGINE\n│       # =========================\n│       ├── execution/\n│       │   ├── __init__.py\n│       │   ├── engine.py            # SQL execution\n│       │   ├── explain.py           # EXPLAIN / ANALYZE\n│\n│       # =========================\n│       # 9. MACHINE LEARNING\n│       # =========================\n│       ├── ml/\n│       │   ├── __init__.py\n│       │   ├── preprocessing.py\n│       │   ├── trainer.py\n│       │   ├── inference.py\n│       │\n│       # =========================\n│       # 10. PERFORMANCE + LOGGING\n│       # =========================\n│       ├── observability/\n│          ├── __init__.py\n│          ├── logger.py\n│          ├── cost_analyzer.py\n│          ├── index_recommender.py\n│\n│\n├── database/\n│   ├── schema.sql\n│   ├── seed.py\n│   ├── synthetic_data.py\n│\n├── tests/\n│   ├── test_pipeline.py\n│   ├── test_security.py\n│   ├── test_ml.py\n│\n└── benchmarks/\n    ├── nl_queries.json\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fn-t-raghava%2Fnatquery","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fn-t-raghava%2Fnatquery","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fn-t-raghava%2Fnatquery/lists"}