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        "description": "![Tartiflette](docs/github-landing.png)\n\n**Tartiflette** is a GraphQL Server implementation built with **Python 3.6+**.\n\n**Summary**\n\n- [Motivation](#motivation)\n- [Status](#status)\n- [Usage](#usage)\n- [Installation](#installation)\n  - [Installation dependencies](#installation-dependencies)\n- [Tartiflette over HTTP](#tartiflette-over-http)\n- [Roadmaps](#roadmaps)\n- [How to contribute to the documentation?](#how-to-contribute-to-the-documentation)\n  - [How to run the website locally?](#how-to-run-the-website-locally)\n- [Known issues](#known-issues)\n- [Badges](#badges)\n\n## Motivation\n\n[Read this blogpost about our motivations](https://medium.com/dailymotion/tartiflette-graphql-api-engine-python-open-source-a200c5bbc477)\nTL; DR\nWe reached the limits of Graphene, we wanted to build something which met certain requirements:\n* **Offers a better developer experience** that respects the Python mindset\n* **Uses SDL** _(Schema Definition Language)_\n* Uses **asyncio** as the sole execution engine\n* Be 100% open source\n\n## Status\n\n**The [first milestone](/docs/roadmaps/milestone-1.md) is behind us, we are now [on the road to the milestone 2](/docs/roadmaps/milestone-2.md)**.\n\n**DNA**\n\n* Define the **GraphQL schema** with the brand new [SDL _(Schema Definition Language)_](https://github.com/facebook/graphql/blob/master/spec/Section%203%20--%20Type%20System.md).\n* **Performance oriented:** Performance is the core of our work.\n* **Simple is better than complex:** Built with [the Zen of Python](https://www.python.org/dev/peps/pep-0020/#id3) in mind. No over-engineering.\n\nDiscover Tartiflette with our fabulous tutorial on [https://tartiflette.io/docs/tutorial/getting-started](https://tartiflette.io/docs/tutorial/getting-started)\n\n## Usage\n\n```python\nimport asyncio\n\nfrom tartiflette import Resolver, create_engine\n\n@Resolver(\"Query.hello\")\nasync def resolver_hello(parent, args, ctx, info):\n    return \"hello \" + args[\"name\"]\n\n\nasync def run():\n    engine = await create_engine(\n        \"\"\"\n        type Query {\n            hello(name: String): String\n        }\n        \"\"\"\n    )\n\n    result = await engine.execute(\n        query='query { hello(name: \"Chuck\") }'\n    )\n\n    print(result)\n    # {'data': {'hello': 'hello Chuck'}}\n\nif __name__ == \"__main__\":\n    loop = asyncio.get_event_loop()\n    loop.run_until_complete(run())\n```\n\nMore details on the [API Documentation](https://tartiflette.io/docs/api/engine/)\n\n## Installation\n\nTartiflette is available on [pypi.org](https://pypi.org/project/tartiflette/).\n\n```bash\npip install tartiflette\n```\n\n### Installation dependencies\n\nAs Tartiflette based its Executor engine on *[libgraphqlparser](https://github.com/graphql/libgraphqlparser)*. You'll need these following commands on your environment to use the library. `cmake`, `bison` and `flex`.\n\n*MacOSX*\n```bash\nbrew install cmake flex bison\n```\n\n*Ubuntu*\n```bash\napt-get install cmake flex bison\n```\n\nMake sure you have `bison`\u00a0in verions 3\n\n## Tartiflette over HTTP\n\nDiscover our implementation of tartiflette over HTTP called [tartiflette-aiohttp](https://github.com/tartiflette/tartiflette-aiohttp).\n\n**Overview**\n```bash\npip install tartiflette-aiohttp\n```\n\n```python\nfrom aiohttp import web\nfrom tartiflette_aiohttp import register_graphql_handlers\n\nsdl = \"\"\"\n    type Query {\n        hello(name: String): String\n    }\n\"\"\"\n\nctx = {\n    'user_service': user_service\n}\n\nweb.run_app(\n    register_graphql_handlers(\n        app=web.Application(),\n        engine_sdl=sdl,\n        engine_schema_name=\"default\",\n        executor_context=ctx,\n        executor_http_endpoint='/graphql',\n        executor_http_methods=['POST', 'GET']\n    )\n)\n```\n\n## Roadmaps\n\n* [Milestone 1 _(Released)_](/docs/roadmaps/milestone-1.md)\n* [Milestone 2 - **Work in progress**](/docs/roadmaps/milestone-2.md)\n\n## How to contribute to the documentation?\n\nAs you may know, the documentation is hosted on https://tartiflette.io. This _fabulous_ website is built thanks to another amazing tool, [docusaurus](https://docusaurus.io/).\n\nThe content of the documentation is hosted in this repository, to be as close as possible to the code. You will find everything you need/want in the folder `/docs`.\n\n### How to run the website locally?\n\nWe built a docker image for the documentation _(tartiflette/tartiflette.io on docker hub)_, which allow us to provide you an easy way to launch the documentation locally, without installing a specific version of node.\n\n**prerequisite**:\n- Docker\n- Docker Compose\n- Make\n\n```bash\nmake run-docs\n```\n\nEvery change you will make in the `/docs` folder will be automatically hot reloaded. :tada:\n\n## Known issues\n\n* [Schema directives aren't executed](https://github.com/tartiflette/tartiflette/issues/134)\n\n## Badges\n[![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=tartiflette_tartiflette)](https://sonarcloud.io/dashboard?id=tartiflette_tartiflette)\n[![Total alerts](https://img.shields.io/lgtm/alerts/g/tartiflette/tartiflette.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/tartiflette/tartiflette/alerts/)\n[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/tartiflette/tartiflette.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/tartiflette/tartiflette/context:python)",
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