755 lines
22 KiB
Python
755 lines
22 KiB
Python
"""The networks module contains types for common network-related fields."""
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from __future__ import annotations as _annotations
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import dataclasses as _dataclasses
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import re
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from importlib.metadata import version
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from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
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from typing import TYPE_CHECKING, Any
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from pydantic_core import MultiHostUrl, PydanticCustomError, Url, core_schema
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from typing_extensions import Annotated, Self, TypeAlias
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from ._internal import _fields, _repr, _schema_generation_shared
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from ._migration import getattr_migration
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from .annotated_handlers import GetCoreSchemaHandler
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from .json_schema import JsonSchemaValue
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if TYPE_CHECKING:
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import email_validator
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NetworkType: TypeAlias = 'str | bytes | int | tuple[str | bytes | int, str | int]'
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else:
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email_validator = None
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__all__ = [
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'AnyUrl',
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'AnyHttpUrl',
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'FileUrl',
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'FtpUrl',
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'HttpUrl',
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'WebsocketUrl',
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'AnyWebsocketUrl',
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'UrlConstraints',
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'EmailStr',
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'NameEmail',
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'IPvAnyAddress',
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'IPvAnyInterface',
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'IPvAnyNetwork',
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'PostgresDsn',
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'CockroachDsn',
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'AmqpDsn',
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'RedisDsn',
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'MongoDsn',
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'KafkaDsn',
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'NatsDsn',
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'validate_email',
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'MySQLDsn',
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'MariaDBDsn',
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'ClickHouseDsn',
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]
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@_dataclasses.dataclass
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class UrlConstraints(_fields.PydanticMetadata):
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"""Url constraints.
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Attributes:
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max_length: The maximum length of the url. Defaults to `None`.
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allowed_schemes: The allowed schemes. Defaults to `None`.
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host_required: Whether the host is required. Defaults to `None`.
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default_host: The default host. Defaults to `None`.
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default_port: The default port. Defaults to `None`.
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default_path: The default path. Defaults to `None`.
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"""
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max_length: int | None = None
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allowed_schemes: list[str] | None = None
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host_required: bool | None = None
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default_host: str | None = None
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default_port: int | None = None
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default_path: str | None = None
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def __hash__(self) -> int:
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return hash(
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(
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self.max_length,
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tuple(self.allowed_schemes) if self.allowed_schemes is not None else None,
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self.host_required,
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self.default_host,
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self.default_port,
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self.default_path,
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)
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)
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AnyUrl = Url
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"""Base type for all URLs.
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* Any scheme allowed
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* Top-level domain (TLD) not required
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* Host required
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Assuming an input URL of `http://samuel:pass@example.com:8000/the/path/?query=here#fragment=is;this=bit`,
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the types export the following properties:
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- `scheme`: the URL scheme (`http`), always set.
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- `host`: the URL host (`example.com`), always set.
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- `username`: optional username if included (`samuel`).
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- `password`: optional password if included (`pass`).
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- `port`: optional port (`8000`).
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- `path`: optional path (`/the/path/`).
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- `query`: optional URL query (for example, `GET` arguments or "search string", such as `query=here`).
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- `fragment`: optional fragment (`fragment=is;this=bit`).
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"""
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AnyHttpUrl = Annotated[Url, UrlConstraints(allowed_schemes=['http', 'https'])]
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"""A type that will accept any http or https URL.
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* TLD not required
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* Host required
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"""
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HttpUrl = Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'])]
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"""A type that will accept any http or https URL.
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* TLD required
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* Host required
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* Max length 2083
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```py
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from pydantic import BaseModel, HttpUrl, ValidationError
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class MyModel(BaseModel):
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url: HttpUrl
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m = MyModel(url='http://www.example.com') # (1)!
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print(m.url)
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#> http://www.example.com/
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try:
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MyModel(url='ftp://invalid.url')
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except ValidationError as e:
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print(e)
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'''
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1 validation error for MyModel
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url
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URL scheme should be 'http' or 'https' [type=url_scheme, input_value='ftp://invalid.url', input_type=str]
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'''
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try:
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MyModel(url='not a url')
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except ValidationError as e:
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print(e)
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'''
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1 validation error for MyModel
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url
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Input should be a valid URL, relative URL without a base [type=url_parsing, input_value='not a url', input_type=str]
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'''
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```
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1. Note: mypy would prefer `m = MyModel(url=HttpUrl('http://www.example.com'))`, but Pydantic will convert the string to an HttpUrl instance anyway.
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"International domains" (e.g. a URL where the host or TLD includes non-ascii characters) will be encoded via
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[punycode](https://en.wikipedia.org/wiki/Punycode) (see
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[this article](https://www.xudongz.com/blog/2017/idn-phishing/) for a good description of why this is important):
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```py
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from pydantic import BaseModel, HttpUrl
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class MyModel(BaseModel):
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url: HttpUrl
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m1 = MyModel(url='http://puny£code.com')
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print(m1.url)
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#> http://xn--punycode-eja.com/
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m2 = MyModel(url='https://www.аррӏе.com/')
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print(m2.url)
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#> https://www.xn--80ak6aa92e.com/
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m3 = MyModel(url='https://www.example.珠宝/')
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print(m3.url)
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#> https://www.example.xn--pbt977c/
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```
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!!! warning "Underscores in Hostnames"
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In Pydantic, underscores are allowed in all parts of a domain except the TLD.
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Technically this might be wrong - in theory the hostname cannot have underscores, but subdomains can.
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To explain this; consider the following two cases:
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- `exam_ple.co.uk`: the hostname is `exam_ple`, which should not be allowed since it contains an underscore.
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- `foo_bar.example.com` the hostname is `example`, which should be allowed since the underscore is in the subdomain.
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Without having an exhaustive list of TLDs, it would be impossible to differentiate between these two. Therefore
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underscores are allowed, but you can always do further validation in a validator if desired.
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Also, Chrome, Firefox, and Safari all currently accept `http://exam_ple.com` as a URL, so we're in good
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(or at least big) company.
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"""
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AnyWebsocketUrl = Annotated[Url, UrlConstraints(allowed_schemes=['ws', 'wss'])]
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"""A type that will accept any ws or wss URL.
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* TLD not required
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* Host required
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"""
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WebsocketUrl = Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['ws', 'wss'])]
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"""A type that will accept any ws or wss URL.
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* TLD required
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* Host required
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* Max length 2083
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"""
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FileUrl = Annotated[Url, UrlConstraints(allowed_schemes=['file'])]
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"""A type that will accept any file URL.
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* Host not required
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"""
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FtpUrl = Annotated[Url, UrlConstraints(allowed_schemes=['ftp'])]
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"""A type that will accept ftp URL.
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* TLD not required
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* Host required
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"""
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PostgresDsn = Annotated[
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MultiHostUrl,
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UrlConstraints(
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host_required=True,
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allowed_schemes=[
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'postgres',
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'postgresql',
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'postgresql+asyncpg',
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'postgresql+pg8000',
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'postgresql+psycopg',
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'postgresql+psycopg2',
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'postgresql+psycopg2cffi',
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'postgresql+py-postgresql',
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'postgresql+pygresql',
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],
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),
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]
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"""A type that will accept any Postgres DSN.
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* User info required
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* TLD not required
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* Host required
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* Supports multiple hosts
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If further validation is required, these properties can be used by validators to enforce specific behaviour:
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```py
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from pydantic import (
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BaseModel,
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HttpUrl,
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PostgresDsn,
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ValidationError,
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field_validator,
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)
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class MyModel(BaseModel):
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url: HttpUrl
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m = MyModel(url='http://www.example.com')
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# the repr() method for a url will display all properties of the url
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print(repr(m.url))
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#> Url('http://www.example.com/')
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print(m.url.scheme)
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#> http
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print(m.url.host)
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#> www.example.com
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print(m.url.port)
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#> 80
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class MyDatabaseModel(BaseModel):
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db: PostgresDsn
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@field_validator('db')
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def check_db_name(cls, v):
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assert v.path and len(v.path) > 1, 'database must be provided'
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return v
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m = MyDatabaseModel(db='postgres://user:pass@localhost:5432/foobar')
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print(m.db)
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#> postgres://user:pass@localhost:5432/foobar
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try:
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MyDatabaseModel(db='postgres://user:pass@localhost:5432')
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except ValidationError as e:
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print(e)
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'''
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1 validation error for MyDatabaseModel
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db
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Assertion failed, database must be provided
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assert (None)
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+ where None = MultiHostUrl('postgres://user:pass@localhost:5432').path [type=assertion_error, input_value='postgres://user:pass@localhost:5432', input_type=str]
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'''
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```
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"""
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CockroachDsn = Annotated[
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Url,
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UrlConstraints(
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host_required=True,
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allowed_schemes=[
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'cockroachdb',
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'cockroachdb+psycopg2',
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'cockroachdb+asyncpg',
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],
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),
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]
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"""A type that will accept any Cockroach DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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AmqpDsn = Annotated[Url, UrlConstraints(allowed_schemes=['amqp', 'amqps'])]
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"""A type that will accept any AMQP DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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RedisDsn = Annotated[
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Url,
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UrlConstraints(allowed_schemes=['redis', 'rediss'], default_host='localhost', default_port=6379, default_path='/0'),
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]
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"""A type that will accept any Redis DSN.
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* User info required
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* TLD not required
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* Host required (e.g., `rediss://:pass@localhost`)
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"""
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MongoDsn = Annotated[MultiHostUrl, UrlConstraints(allowed_schemes=['mongodb', 'mongodb+srv'], default_port=27017)]
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"""A type that will accept any MongoDB DSN.
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* User info not required
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* Database name not required
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* Port not required
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* User info may be passed without user part (e.g., `mongodb://mongodb0.example.com:27017`).
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"""
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KafkaDsn = Annotated[Url, UrlConstraints(allowed_schemes=['kafka'], default_host='localhost', default_port=9092)]
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"""A type that will accept any Kafka DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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NatsDsn = Annotated[
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MultiHostUrl, UrlConstraints(allowed_schemes=['nats', 'tls', 'ws'], default_host='localhost', default_port=4222)
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]
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"""A type that will accept any NATS DSN.
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NATS is a connective technology built for the ever increasingly hyper-connected world.
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It is a single technology that enables applications to securely communicate across
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any combination of cloud vendors, on-premise, edge, web and mobile, and devices.
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More: https://nats.io
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"""
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MySQLDsn = Annotated[
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Url,
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UrlConstraints(
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allowed_schemes=[
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'mysql',
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'mysql+mysqlconnector',
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'mysql+aiomysql',
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'mysql+asyncmy',
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'mysql+mysqldb',
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'mysql+pymysql',
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'mysql+cymysql',
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'mysql+pyodbc',
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],
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default_port=3306,
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),
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]
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"""A type that will accept any MySQL DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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MariaDBDsn = Annotated[
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Url,
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UrlConstraints(
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allowed_schemes=['mariadb', 'mariadb+mariadbconnector', 'mariadb+pymysql'],
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default_port=3306,
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),
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]
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"""A type that will accept any MariaDB DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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ClickHouseDsn = Annotated[
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Url,
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UrlConstraints(
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allowed_schemes=['clickhouse+native', 'clickhouse+asynch'],
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default_host='localhost',
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default_port=9000,
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),
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]
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"""A type that will accept any ClickHouse DSN.
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* User info required
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* TLD not required
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* Host required
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"""
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def import_email_validator() -> None:
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global email_validator
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try:
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import email_validator
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except ImportError as e:
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raise ImportError('email-validator is not installed, run `pip install pydantic[email]`') from e
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if not version('email-validator').partition('.')[0] == '2':
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raise ImportError('email-validator version >= 2.0 required, run pip install -U email-validator')
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if TYPE_CHECKING:
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EmailStr = Annotated[str, ...]
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else:
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class EmailStr:
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"""
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Info:
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To use this type, you need to install the optional
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[`email-validator`](https://github.com/JoshData/python-email-validator) package:
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```bash
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pip install email-validator
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```
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Validate email addresses.
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```py
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from pydantic import BaseModel, EmailStr
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class Model(BaseModel):
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email: EmailStr
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print(Model(email='contact@mail.com'))
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#> email='contact@mail.com'
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```
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""" # noqa: D212
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@classmethod
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def __get_pydantic_core_schema__(
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cls,
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_source: type[Any],
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_handler: GetCoreSchemaHandler,
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) -> core_schema.CoreSchema:
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import_email_validator()
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return core_schema.no_info_after_validator_function(cls._validate, core_schema.str_schema())
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@classmethod
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def __get_pydantic_json_schema__(
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cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
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) -> JsonSchemaValue:
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field_schema = handler(core_schema)
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field_schema.update(type='string', format='email')
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return field_schema
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@classmethod
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def _validate(cls, input_value: str, /) -> str:
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return validate_email(input_value)[1]
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class NameEmail(_repr.Representation):
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"""
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Info:
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To use this type, you need to install the optional
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[`email-validator`](https://github.com/JoshData/python-email-validator) package:
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```bash
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pip install email-validator
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```
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Validate a name and email address combination, as specified by
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[RFC 5322](https://datatracker.ietf.org/doc/html/rfc5322#section-3.4).
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The `NameEmail` has two properties: `name` and `email`.
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In case the `name` is not provided, it's inferred from the email address.
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```py
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from pydantic import BaseModel, NameEmail
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class User(BaseModel):
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email: NameEmail
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user = User(email='Fred Bloggs <fred.bloggs@example.com>')
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print(user.email)
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#> Fred Bloggs <fred.bloggs@example.com>
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print(user.email.name)
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#> Fred Bloggs
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user = User(email='fred.bloggs@example.com')
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print(user.email)
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#> fred.bloggs <fred.bloggs@example.com>
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print(user.email.name)
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#> fred.bloggs
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```
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""" # noqa: D212
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__slots__ = 'name', 'email'
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def __init__(self, name: str, email: str):
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self.name = name
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self.email = email
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def __eq__(self, other: Any) -> bool:
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return isinstance(other, NameEmail) and (self.name, self.email) == (other.name, other.email)
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@classmethod
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def __get_pydantic_json_schema__(
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cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
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) -> JsonSchemaValue:
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field_schema = handler(core_schema)
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field_schema.update(type='string', format='name-email')
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return field_schema
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@classmethod
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def __get_pydantic_core_schema__(
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cls,
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_source: type[Any],
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_handler: GetCoreSchemaHandler,
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) -> core_schema.CoreSchema:
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import_email_validator()
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return core_schema.no_info_after_validator_function(
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cls._validate,
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core_schema.json_or_python_schema(
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json_schema=core_schema.str_schema(),
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python_schema=core_schema.union_schema(
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[core_schema.is_instance_schema(cls), core_schema.str_schema()],
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custom_error_type='name_email_type',
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custom_error_message='Input is not a valid NameEmail',
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),
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serialization=core_schema.to_string_ser_schema(),
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),
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)
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@classmethod
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def _validate(cls, input_value: Self | str, /) -> Self:
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if isinstance(input_value, cls):
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return input_value
|
||
else:
|
||
name, email = validate_email(input_value)
|
||
return cls(name, email)
|
||
|
||
def __str__(self) -> str:
|
||
if '@' in self.name:
|
||
return f'"{self.name}" <{self.email}>'
|
||
|
||
return f'{self.name} <{self.email}>'
|
||
|
||
|
||
class IPvAnyAddress:
|
||
"""Validate an IPv4 or IPv6 address.
|
||
|
||
```py
|
||
from pydantic import BaseModel
|
||
from pydantic.networks import IPvAnyAddress
|
||
|
||
class IpModel(BaseModel):
|
||
ip: IPvAnyAddress
|
||
|
||
print(IpModel(ip='127.0.0.1'))
|
||
#> ip=IPv4Address('127.0.0.1')
|
||
|
||
try:
|
||
IpModel(ip='http://www.example.com')
|
||
except ValueError as e:
|
||
print(e.errors())
|
||
'''
|
||
[
|
||
{
|
||
'type': 'ip_any_address',
|
||
'loc': ('ip',),
|
||
'msg': 'value is not a valid IPv4 or IPv6 address',
|
||
'input': 'http://www.example.com',
|
||
}
|
||
]
|
||
'''
|
||
```
|
||
"""
|
||
|
||
__slots__ = ()
|
||
|
||
def __new__(cls, value: Any) -> IPv4Address | IPv6Address:
|
||
"""Validate an IPv4 or IPv6 address."""
|
||
try:
|
||
return IPv4Address(value)
|
||
except ValueError:
|
||
pass
|
||
|
||
try:
|
||
return IPv6Address(value)
|
||
except ValueError:
|
||
raise PydanticCustomError('ip_any_address', 'value is not a valid IPv4 or IPv6 address')
|
||
|
||
@classmethod
|
||
def __get_pydantic_json_schema__(
|
||
cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
|
||
) -> JsonSchemaValue:
|
||
field_schema = {}
|
||
field_schema.update(type='string', format='ipvanyaddress')
|
||
return field_schema
|
||
|
||
@classmethod
|
||
def __get_pydantic_core_schema__(
|
||
cls,
|
||
_source: type[Any],
|
||
_handler: GetCoreSchemaHandler,
|
||
) -> core_schema.CoreSchema:
|
||
return core_schema.no_info_plain_validator_function(
|
||
cls._validate, serialization=core_schema.to_string_ser_schema()
|
||
)
|
||
|
||
@classmethod
|
||
def _validate(cls, input_value: Any, /) -> IPv4Address | IPv6Address:
|
||
return cls(input_value) # type: ignore[return-value]
|
||
|
||
|
||
class IPvAnyInterface:
|
||
"""Validate an IPv4 or IPv6 interface."""
|
||
|
||
__slots__ = ()
|
||
|
||
def __new__(cls, value: NetworkType) -> IPv4Interface | IPv6Interface:
|
||
"""Validate an IPv4 or IPv6 interface."""
|
||
try:
|
||
return IPv4Interface(value)
|
||
except ValueError:
|
||
pass
|
||
|
||
try:
|
||
return IPv6Interface(value)
|
||
except ValueError:
|
||
raise PydanticCustomError('ip_any_interface', 'value is not a valid IPv4 or IPv6 interface')
|
||
|
||
@classmethod
|
||
def __get_pydantic_json_schema__(
|
||
cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
|
||
) -> JsonSchemaValue:
|
||
field_schema = {}
|
||
field_schema.update(type='string', format='ipvanyinterface')
|
||
return field_schema
|
||
|
||
@classmethod
|
||
def __get_pydantic_core_schema__(
|
||
cls,
|
||
_source: type[Any],
|
||
_handler: GetCoreSchemaHandler,
|
||
) -> core_schema.CoreSchema:
|
||
return core_schema.no_info_plain_validator_function(
|
||
cls._validate, serialization=core_schema.to_string_ser_schema()
|
||
)
|
||
|
||
@classmethod
|
||
def _validate(cls, input_value: NetworkType, /) -> IPv4Interface | IPv6Interface:
|
||
return cls(input_value) # type: ignore[return-value]
|
||
|
||
|
||
class IPvAnyNetwork:
|
||
"""Validate an IPv4 or IPv6 network."""
|
||
|
||
__slots__ = ()
|
||
|
||
def __new__(cls, value: NetworkType) -> IPv4Network | IPv6Network:
|
||
"""Validate an IPv4 or IPv6 network."""
|
||
# Assume IP Network is defined with a default value for `strict` argument.
|
||
# Define your own class if you want to specify network address check strictness.
|
||
try:
|
||
return IPv4Network(value)
|
||
except ValueError:
|
||
pass
|
||
|
||
try:
|
||
return IPv6Network(value)
|
||
except ValueError:
|
||
raise PydanticCustomError('ip_any_network', 'value is not a valid IPv4 or IPv6 network')
|
||
|
||
@classmethod
|
||
def __get_pydantic_json_schema__(
|
||
cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
|
||
) -> JsonSchemaValue:
|
||
field_schema = {}
|
||
field_schema.update(type='string', format='ipvanynetwork')
|
||
return field_schema
|
||
|
||
@classmethod
|
||
def __get_pydantic_core_schema__(
|
||
cls,
|
||
_source: type[Any],
|
||
_handler: GetCoreSchemaHandler,
|
||
) -> core_schema.CoreSchema:
|
||
return core_schema.no_info_plain_validator_function(
|
||
cls._validate, serialization=core_schema.to_string_ser_schema()
|
||
)
|
||
|
||
@classmethod
|
||
def _validate(cls, input_value: NetworkType, /) -> IPv4Network | IPv6Network:
|
||
return cls(input_value) # type: ignore[return-value]
|
||
|
||
|
||
def _build_pretty_email_regex() -> re.Pattern[str]:
|
||
name_chars = r'[\w!#$%&\'*+\-/=?^_`{|}~]'
|
||
unquoted_name_group = rf'((?:{name_chars}+\s+)*{name_chars}+)'
|
||
quoted_name_group = r'"((?:[^"]|\")+)"'
|
||
email_group = r'<\s*(.+)\s*>'
|
||
return re.compile(rf'\s*(?:{unquoted_name_group}|{quoted_name_group})?\s*{email_group}\s*')
|
||
|
||
|
||
pretty_email_regex = _build_pretty_email_regex()
|
||
|
||
MAX_EMAIL_LENGTH = 2048
|
||
"""Maximum length for an email.
|
||
A somewhat arbitrary but very generous number compared to what is allowed by most implementations.
|
||
"""
|
||
|
||
|
||
def validate_email(value: str) -> tuple[str, str]:
|
||
"""Email address validation using [email-validator](https://pypi.org/project/email-validator/).
|
||
|
||
Note:
|
||
Note that:
|
||
|
||
* Raw IP address (literal) domain parts are not allowed.
|
||
* `"John Doe <local_part@domain.com>"` style "pretty" email addresses are processed.
|
||
* Spaces are striped from the beginning and end of addresses, but no error is raised.
|
||
"""
|
||
if email_validator is None:
|
||
import_email_validator()
|
||
|
||
if len(value) > MAX_EMAIL_LENGTH:
|
||
raise PydanticCustomError(
|
||
'value_error',
|
||
'value is not a valid email address: {reason}',
|
||
{'reason': f'Length must not exceed {MAX_EMAIL_LENGTH} characters'},
|
||
)
|
||
|
||
m = pretty_email_regex.fullmatch(value)
|
||
name: str | None = None
|
||
if m:
|
||
unquoted_name, quoted_name, value = m.groups()
|
||
name = unquoted_name or quoted_name
|
||
|
||
email = value.strip()
|
||
|
||
try:
|
||
parts = email_validator.validate_email(email, check_deliverability=False)
|
||
except email_validator.EmailNotValidError as e:
|
||
raise PydanticCustomError(
|
||
'value_error', 'value is not a valid email address: {reason}', {'reason': str(e.args[0])}
|
||
) from e
|
||
|
||
email = parts.normalized
|
||
assert email is not None
|
||
name = name or parts.local_part
|
||
return name, email
|
||
|
||
|
||
__getattr__ = getattr_migration(__name__)
|