{
    "info": {
        "author": "haiton",
        "author_email": "642641850@qq.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# ht_es\n\n#### \u4ecb\u7ecd\npython es\u7684\u518d\u5c01\u88c5\n\n\u4e3b\u8981\u501f\u9274SQLAlchemy\u7684\u65b9\u5f0f\n\n#### \u4f7f\u7528\u8bf4\u660e\n\n\u7b80\u5355\u4f7f\u7528\n\n```python\n\"\"\"\n\u641c\u7d22\u6d4b\u8bd5\u5de5\u5177,\u6570\u636e\u586b\u5145\u811a\u672c\n\"\"\"\nimport random, time\nfrom elasticsearch_tool.elements.document import Doc, Fields\nfrom elasticsearch_tool.base_element.operate import datetime_tool, NOT, OR\nfrom datetime import datetime\n\nfrom elasticsearch_tool.config import Config\n\n\n# \u914d\u7f6ees\u670d\u52a1\u5668\u5730\u5740\u4fe1\u606f\nConfig.set_host('localhost', port='9200')\n\n\nwords = ['\u5355\u8bcd', '\u8bcd\u6c47', '\u68c0\u7d22', '\u6211\u4e86', '\u827e\u514b', '\u7ef4\u62a4\u8d39', '\u6ca1\u7406\u89e3', '\u63a5\u662f', '\u54af\u6015', '\u90a3\u4e48', '\u884c\u98ce', '\u5976\u8336\u5e97', '\u5168\u7f51\u901a', '\u96e8\u5929',\n         '\u672b\u5c3e', '\u5df2\u6536\u5230', '\u5c31\u597d\u6492\u5927\u5bb6\u770b\u6cd5', '\u662f\u4f60\u4eec', '\u4f60\u4eec', '\u821e\u5973', '\u4e0d', '\u5bb9\u6613', '\u4e00\u6837', '\u662f\u4f60\u7684', '\u73a9\u513f\u4e00\u5929']\n\n\ndef insert_indices():\n    text = ''\n    word = []\n    id = int(time.time() * 1000)\n    num = random.randint(000, 999)\n    for _ in range(100):\n        n = random.randint(0, len(words) - 1)\n        text += words[n]\n    for _ in range(5):\n        n = random.randint(0, len(words) - 1)\n        word.append(words[n])\n\n    return {\n        'text': text,\n        'word': word,\n        'id': id,\n        'num': num,\n        'date': datetime.today(),\n        'has_go': num % 2 == 1,\n        'height': time.time()\n    }\n\n\nclass DocTry(Doc):\n    # \u914d\u7f6e\u6587\u6863\u7684\u7d22\u5f15\u503c,\u7c7b\u578b\u503c,\u4ee5\u53ca\u6587\u6863id\u7684\u5b57\u6bb5\n    __indices__ = 'fifth'\n    __types__ = 'docs'\n    __pk__ = 'id'\n\n    # \u8bbe\u5b9a\u6587\u6863\u5b57\u6bb5\u548c\u7c7b\u578b\n    text = Fields.String\n    word = Fields.List\n    id = Fields.Integer\n    num = Fields.Integer\n    date = Fields.Datetime\n    has_go = Fields.Boolean\n    height = Fields.Float\n\n\nif __name__ == '__main__':\n\n    for _ in range(15):\n        time.sleep(0.01)\n        data = insert_indices()\n        doc = DocTry()\n        for k, v in data.items():\n            doc.__setattr__(k, v)\n\n        top = doc.text > 'str'\n        nop = doc.num > 20\n\n        doc.save()\n\n    DocTry().search(text='\u68c0\u7d22').all()\n    all_re = DocTry().filter(DocTry.num > 50,\n                             DocTry.text=='\u5355\u8bcd',\n                             DocTry.text!='\u4e00\u6837',\n                             OR(DocTry.text == '\u77e5\u8bc6',\n                                DocTry.id > 100,\n                                DocTry.word.in_(['\u4f60\u4eec', '\u90a3\u4e48', '\u5df2\u6536\u5230', '\u4e00\u6837']),),\n                             NOT(DocTry.has_go == False)).all()\n    for result in all_re:\n        print(result.query_to_dict())\n```\n\n\u66f4\u591a\u4f7f\u7528\u65b9\u6cd5,\u8bf7\u89c1: \n\n#### \u53c2\u4e0e\u8d21\u732e\n\n\u8054\u7cfb642641850@qq.com\n\n",
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        "home_page": "https://github.com/pypa/sampleproject",
        "keywords": "",
        "license": "",
        "maintainer": "",
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