{
    "info": {
        "author": "TaylorHere",
        "author_email": "taylorherelee@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3"
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        "description": "#Datastore Client\n\nProject TCT\u56fe\u50cf\u4e0e\u4fe1\u606f\u5b58\u50a8\u6570\u636e\u5e93 Datastore python\u7248Client\n\n##\u793a\u4f8b\n```python\n\nif __name__ == \"__main__\":\n    #test code\n    #this test code shows that:\n    #   crate a lot of raw datas\n    #   upload them to datastore\n    #   gather them togher to create a dataset name 'L-in-H'\n    #   and query them out in tow style\n    log.getLogger().setLevel(log.INFO)\n\n    #DataStore Client, next coming: DataStore Command Line Tools\n    client = Client(\n        graphql_entrance = 'http://127.0.0.1:8080',\n        minio_entrance = '127.0.0.1:9001',\n        graphql_path=\"/v1/graphql/\",\n        minio_secure=False,\n        download_path='./test_data'\n    )\n    \n\n    for i in range(20):\n        with open('./test_data/test{}.txt'.format(i), 'w+') as f:\n            import random\n            f.write(str('hi'))\n\n    raws = client.raw.create('./test_data/', metadata={\n        'bucket': 'raws', #the name of the bucket\n        'source': 'tell me more detail where this object come from!',\n        'class_tree': {\n            'big_image': 'HSIL',\n            'cell': 'LSIL',\n            'instance': 'independent'\n            },\n        'hi':'this is a test, you can add any key you want',\n        'but': 'every resources has a prototype keys that you must contains'\n        }\n    )\n\n    err, dataset = client.dataset.create(name='L-in-H', metadata={\n        \"note\": 'this dataset contains all the LSIL cell from HSIL big image'\n        })\n\n    err, dataset_with_raws = client.dataset.add_raws(\n        dataset=dataset,\n        resources=raws\n        )\n\n    err, raws = client.raw.query(\"\"\"\n        {\n            dataset_id: {\n                _eq: 1\n            }\n        }\n        \"\"\")\n\n    err, res = client.queryer.query(\n        \"\"\"\n        {\n          data_raw(where: {metadata: {_contains: {class_tree: {cell: \"LSIL\"}}}, tag: {_eq: \"latest\"}}, distinct_on: id) {\n            id\n            metadata\n            tag\n            version\n            url\n            name\n          }\n        }\n        \"\"\"\n        )\n    raws = res['data']['data_raw']\n    print(client.downloader.download(raws))\n\n    for i in range(20):\n        os.remove('test_data/test{}.txt'.format(i))\n\n\n```\n##Package Document\n\n\u4f7f\u7528python\u51fd\u6570 help(object)\u67e5\u770b\u6587\u6863\n\n##Datastore API Reference\n\n\u8bf7\u53c2\u9605\u5728\u7ebf\u6587\u6863",
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