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"author": "Ruslan Roskoshnyj",
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"description": "# Validate-it\n\n[](https://travis-ci.org/ruslux/validate-it) \n[](https://coveralls.io/github/ruslux/validate-it)\n[](https://badge.fury.io/py/validate-it)\n[](https://pypi.python.org/pypi/validate-it)\n\n- [About](#about)\n- [Installation](#installation)\n- [Supported fields](#fields)\n- [Validation example](#validation-example)\n- [Dataclass example](#dataclass-example)\n- [Simple mapping example](#simple-mapping-example)\n- [Nested mapping example](#nested-mapping-example)\n- [Requirements](#requirements)\n\n### About\nSchema validator built on top of the typing module\n\n\n### Installation\nWith pip:\n```bash\npip install validate-it\n```\n\n### Supported fields\n```python\nimport re\nfrom datetime import datetime\nfrom typing import Dict, List, Union, Optional\nfrom validate_it import schema, Options\n\n\nclass IsNotEmailError(Exception):\n pass\n\n\ndef is_email(key, value):\n if not re.match(r\"[^@]+@[^@]+\\.[^@]+\", value):\n raise IsNotEmailError(f\"{key}: is not email\")\n\n return value\n\n@schema\nclass Example:\n # required fields\n field_a: datetime\n field_b: float\n \n # required fields with defaults\n field_c: str = \"unknown\"\n field_d: int = 9\n \n # required fields with nested types\n field_e: Dict[int, str]\n field_f: List[int]\n \n # optional fields\n field_g: Optional[int]\n field_h: Union[int, None] # equivalent of Optional[int]\n \n # with some validators:\n fields_i: int = Options(default=0, max_value=100, min_value=100)\n fields_j: str = Options(size=10)\n fields_k: str = Options(min_length=10, max_length=20)\n fields_l: List[str] = Options(size=5)\n fields_m: str = Options(validators=[is_email])\n fields_n: int = Options(allowed=[1, 2, 3])\n \n # with search (input) alias:\n fields_o: int = Options(alias=\"field_n\")\n \n # with rename (output) alias:\n fields_p: int = Options(rename=\"field_q\")\n \n # with serializer used in #to_dict(), outgoing value is str type\n fields_q: int = Options(serializer=str)\n \n # with parser used in #from_dict() or direct setattr, incoming value will be parsed as int\n fields_r: int = Options(parser=int)\n```\n\n### Validation example\n```python\nfrom typing import List\nfrom validate_it import *\n\n\n@schema\nclass Simple:\n a: int\n b: int\n\n\nsimple = Simple(a=1, b=2)\nsimple.a = 2\nsimple.b = 3\n\ntry:\n simple.a = 'not int'\nexcept TypeError:\n print(\"Wrong type\")\n\n@schema\nclass Owner:\n first_name: str\n last_name: str\n\n\n@schema\nclass Characteristics:\n cc: float = Options(min_value=0.0)\n hp: int = Options(min_value=0)\n\n\n@schema\nclass Car:\n name: str = Options(min_length=2, max_length=20)\n owners: List[Owner] = Options(auto_pack=True, packer=pack_value)\n characteristics: Characteristics = Options(default=lambda: {\"cc\": 0.0, \"hp\": 0}, auto_pack=True, packer=pack_value)\n convert: bool = Options(parser=bool)\n\n\n_data = {\n \"name\": \"Shelby GT500\",\n \"owners\": [\n {\n \"first_name\": \"Randall\",\n \"last_name\": \"Raines\",\n }\n ],\n \"characteristics\": {\n \"cc\": 4.7,\n \"hp\": 306\n },\n \"unknown_field\": 10,\n \"convert\": 1 \n}\n\n_expected = {\n \"name\": \"Shelby GT500\",\n \"owners\": [\n {\n \"first_name\": \"Randall\",\n \"last_name\": \"Raines\",\n }\n ],\n \"characteristics\": {\n \"cc\": 4.7,\n \"hp\": 306\n },\n \"convert\": \"1\"\n}\n\ncar = Car(**_data)\nassert to_dict(car) == _expected\n```\n### Dataclass example\n```python\nfrom validate_it import *\nfrom dataclasses import dataclass\n\n\n@schema\n@dataclass\nclass Simple:\n a: int\n b: int\n\n\nsimple = Simple(a=1, b=2)\nsimple.a = 2\nsimple.b = 3\n\ntry:\n simple.a = 'not int'\nexcept TypeError:\n print(\"Wrong type\")\n```\n\n### Simple mapping example\n```python\nfrom validate_it import *\n\n\n@schema\nclass User:\n first_name: str = Options(alias=\"f\")\n last_name: str = Options(alias=\"l\")\n\n_in_data = {\n \"f\": \"John\",\n \"l\": \"Connor\"\n}\n\nuser = User(**_in_data)\n\nassert to_dict(user) == {\"first_name\": \"John\", \"last_name\": \"Connor\"}\n```\n\n### Nested mapping example\n```python\nfrom validate_it import *\nfrom accordion import compress\n\n\n@schema\nclass Player:\n nickname: str = Options(alias=\"info.nickname\")\n intelligence: int = Options(alias=\"characteristics/0\")\n dexterity: int = Options(alias=\"characteristics/1\")\n strength: int = Options(alias=\"characteristics/2\")\n vitality: int = Options(alias=\"characteristics/3\")\n\n_in_data = {\n \"info\": {\n \"nickname\": \"Killer777\",\n },\n \"characteristics\": [\n 7,\n 55,\n 11,\n 44\n ]\n}\n\nplayer = Player(**compress(_in_data))\n\nassert to_dict(player) == {\n \"nickname\": \"Killer777\", \n \"intelligence\": 7, \n \"dexterity\": 55, \n \"strength\": 11, \n \"vitality\": 44\n}\n```\n\nand back:\n```python\nfrom validate_it import *\nfrom accordion import expand\n\n\n@schema\nclass Player:\n nickname: str = Options(rename=\"info.nickname\")\n intelligence: int = Options(rename=\"characteristics/0\")\n dexterity: int = Options(rename=\"characteristics/1\")\n strength: int = Options(rename=\"characteristics/2\")\n vitality: int = Options(rename=\"characteristics/3\")\n\n_in_data = {\n \"nickname\": \"Killer777\", \n \"intelligence\": 7, \n \"dexterity\": 55, \n \"strength\": 11, \n \"vitality\": 44\n}\n\nplayer = Player(**_in_data)\n\nassert expand(to_dict(player)) == {\n \"info\": {\n \"nickname\": \"Killer777\",\n },\n \"characteristics\": [\n 7,\n 55,\n 11,\n 44\n ]\n}\n```\n\n### Requirements\nTested with `python3.6`, `python3.7`, `pypy3.6-7.0.0`\n\n### Contribution how-to\n###### Run tests:\n* clone repo: `git clone `\n* create and activate your virtualenv\n* `pip install -r requirements.txt && pip install -r dev-requirements`\n* `./run_tests.sh`",
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