Edit - networks.py

Edit: networks.py

"""The networks module contains types for common network-related fields."""

from __future__ import annotations as _annotations

import dataclasses as _dataclasses
import re
from importlib.metadata import version
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
from typing import TYPE_CHECKING, Any

from pydantic_core import MultiHostUrl, PydanticCustomError, Url, core_schema
from typing_extensions import Annotated, Self, TypeAlias

from ._internal import _fields, _repr, _schema_generation_shared
from ._migration import getattr_migration
from .annotated_handlers import GetCoreSchemaHandler
from .json_schema import JsonSchemaValue

if TYPE_CHECKING:
    import email_validator

else:
    email_validator = None

__all__ = [
    'AnyUrl',
    'AnyHttpUrl',
    'FileUrl',
    'FtpUrl',
    'HttpUrl',
    'WebsocketUrl',
    'AnyWebsocketUrl',
    'UrlConstraints',
    'EmailStr',
    'NameEmail',
    'IPvAnyAddress',
    'IPvAnyInterface',
    'IPvAnyNetwork',
    'PostgresDsn',
    'CockroachDsn',
    'AmqpDsn',
    'RedisDsn',
    'MongoDsn',
    'KafkaDsn',
    'NatsDsn',
    'validate_email',
    'MySQLDsn',
    'MariaDBDsn',
    'ClickHouseDsn',
]

@_dataclasses.dataclass
class UrlConstraints(_fields.PydanticMetadata):
    """Url constraints.

Attributes:
        max_length: The maximum length of the url. Defaults to `None`.
        allowed_schemes: The allowed schemes. Defaults to `None`.
        host_required: Whether the host is required. Defaults to `None`.
        default_host: The default host. Defaults to `None`.
        default_port: The default port. Defaults to `None`.
        default_path: The default path. Defaults to `None`.
    """

def __hash__(self) -> int:
        return hash(
            (
                self.max_length,
                tuple(self.allowed_schemes) if self.allowed_schemes is not None else None,
                self.host_required,
                self.default_host,
                self.default_port,
                self.default_path,
            )
        )

AnyUrl = Url
"""Base type for all URLs.

* Any scheme allowed
* Top-level domain (TLD) not required
* Host required

Assuming an input URL of `http://samuel:pass@example.com:8000/the/path/?query=here#fragment=is;this=bit`,
the types export the following properties:

- `scheme`: the URL scheme (`http`), always set.
- `host`: the URL host (`example.com`), always set.
- `username`: optional username if included (`samuel`).
- `password`: optional password if included (`pass`).
- `port`: optional port (`8000`).
- `path`: optional path (`/the/path/`).
- `query`: optional URL query (for example, `GET` arguments or "search string", such as `query=here`).
- `fragment`: optional fragment (`fragment=is;this=bit`).
"""
AnyHttpUrl = Annotated[Url, UrlConstraints(allowed_schemes=['http', 'https'])]
"""A type that will accept any http or https URL.

* TLD not required
* Host required
"""
HttpUrl = Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'])]
"""A type that will accept any http or https URL.

* TLD not required
* Host required
* Max length 2083

```py
from pydantic import BaseModel, HttpUrl, ValidationError

class MyModel(BaseModel):
    url: HttpUrl

m = MyModel(url='http://www.example.com')  # (1)!
print(m.url)
#> http://www.example.com/

try:
    MyModel(url='ftp://invalid.url')
except ValidationError as e:
    print(e)
    '''
    1 validation error for MyModel
    url
      URL scheme should be 'http' or 'https' [type=url_scheme, input_value='ftp://invalid.url', input_type=str]
    '''

try:
    MyModel(url='not a url')
except ValidationError as e:
    print(e)
    '''
    1 validation error for MyModel
    url
      Input should be a valid URL, relative URL without a base [type=url_parsing, input_value='not a url', input_type=str]
    '''
```

1. Note: mypy would prefer `m = MyModel(url=HttpUrl('http://www.example.com'))`, but Pydantic will convert the string to an HttpUrl instance anyway.

"International domains" (e.g. a URL where the host or TLD includes non-ascii characters) will be encoded via
[punycode](https://en.wikipedia.org/wiki/Punycode) (see
[this article](https://www.xudongz.com/blog/2017/idn-phishing/) for a good description of why this is important):

```py
from pydantic import BaseModel, HttpUrl

class MyModel(BaseModel):
    url: HttpUrl

m1 = MyModel(url='http://puny£code.com')
print(m1.url)
#> http://xn--punycode-eja.com/
m2 = MyModel(url='https://www.аррӏе.com/')
print(m2.url)
#> https://www.xn--80ak6aa92e.com/
m3 = MyModel(url='https://www.example.珠宝/')
print(m3.url)
#> https://www.example.xn--pbt977c/
```

!!! warning "Underscores in Hostnames"
    In Pydantic, underscores are allowed in all parts of a domain except the TLD.
    Technically this might be wrong - in theory the hostname cannot have underscores, but subdomains can.

To explain this; consider the following two cases:

- `exam_ple.co.uk`: the hostname is `exam_ple`, which should not be allowed since it contains an underscore.
    - `foo_bar.example.com` the hostname is `example`, which should be allowed since the underscore is in the subdomain.

Without having an exhaustive list of TLDs, it would be impossible to differentiate between these two. Therefore
    underscores are allowed, but you can always do further validation in a validator if desired.

Also, Chrome, Firefox, and Safari all currently accept `http://exam_ple.com` as a URL, so we're in good
    (or at least big) company.
"""
AnyWebsocketUrl = Annotated[Url, UrlConstraints(allowed_schemes=['ws', 'wss'])]
"""A type that will accept any ws or wss URL.

* TLD not required
* Host required
"""
WebsocketUrl = Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['ws', 'wss'])]
"""A type that will accept any ws or wss URL.

* TLD not required
* Host required
* Max length 2083
"""
FileUrl = Annotated[Url, UrlConstraints(allowed_schemes=['file'])]
"""A type that will accept any file URL.

* Host not required
"""
FtpUrl = Annotated[Url, UrlConstraints(allowed_schemes=['ftp'])]
"""A type that will accept ftp URL.

* TLD not required
* Host required
"""
PostgresDsn = Annotated[
    MultiHostUrl,
    UrlConstraints(
        host_required=True,
        allowed_schemes=[
            'postgres',
            'postgresql',
            'postgresql+asyncpg',
            'postgresql+pg8000',
            'postgresql+psycopg',
            'postgresql+psycopg2',
            'postgresql+psycopg2cffi',
            'postgresql+py-postgresql',
            'postgresql+pygresql',
        ],
    ),
]
"""A type that will accept any Postgres DSN.

* User info required
* TLD not required
* Host required
* Supports multiple hosts

If further validation is required, these properties can be used by validators to enforce specific behaviour:

```py
from pydantic import (
    BaseModel,
    HttpUrl,
    PostgresDsn,
    ValidationError,
    field_validator,
)

class MyModel(BaseModel):
    url: HttpUrl

m = MyModel(url='http://www.example.com')

# the repr() method for a url will display all properties of the url
print(repr(m.url))
#> Url('http://www.example.com/')
print(m.url.scheme)
#> http
print(m.url.host)
#> www.example.com
print(m.url.port)
#> 80

class MyDatabaseModel(BaseModel):
    db: PostgresDsn

@field_validator('db')
    def check_db_name(cls, v):
        assert v.path and len(v.path) > 1, 'database must be provided'
        return v

m = MyDatabaseModel(db='postgres://user:pass@localhost:5432/foobar')
print(m.db)
#> postgres://user:pass@localhost:5432/foobar

try:
    MyDatabaseModel(db='postgres://user:pass@localhost:5432')
except ValidationError as e:
    print(e)
    '''
    1 validation error for MyDatabaseModel
    db
      Assertion failed, database must be provided
    assert (None)
     +  where None = MultiHostUrl('postgres://user:pass@localhost:5432').path [type=assertion_error, input_value='postgres://user:pass@localhost:5432', input_type=str]
    '''
```
"""

CockroachDsn = Annotated[
    Url,
    UrlConstraints(
        host_required=True,
        allowed_schemes=[
            'cockroachdb',
            'cockroachdb+psycopg2',
            'cockroachdb+asyncpg',
        ],
    ),
]
"""A type that will accept any Cockroach DSN.

* User info required
* TLD not required
* Host required
"""
AmqpDsn = Annotated[Url, UrlConstraints(allowed_schemes=['amqp', 'amqps'])]
"""A type that will accept any AMQP DSN.

* User info required
* TLD not required
* Host required
"""
RedisDsn = Annotated[
    Url,
    UrlConstraints(allowed_schemes=['redis', 'rediss'], default_host='localhost', default_port=6379, default_path='/0'),
]
"""A type that will accept any Redis DSN.

* User info required
* TLD not required
* Host required (e.g., `rediss://:pass@localhost`)
"""
MongoDsn = Annotated[MultiHostUrl, UrlConstraints(allowed_schemes=['mongodb', 'mongodb+srv'], default_port=27017)]
"""A type that will accept any MongoDB DSN.

* User info not required
* Database name not required
* Port not required
* User info may be passed without user part (e.g., `mongodb://mongodb0.example.com:27017`).
"""
KafkaDsn = Annotated[Url, UrlConstraints(allowed_schemes=['kafka'], default_host='localhost', default_port=9092)]
"""A type that will accept any Kafka DSN.

* User info required
* TLD not required
* Host required
"""
NatsDsn = Annotated[
    MultiHostUrl, UrlConstraints(allowed_schemes=['nats', 'tls', 'ws'], default_host='localhost', default_port=4222)
]
"""A type that will accept any NATS DSN.

NATS is a connective technology built for the ever increasingly hyper-connected world.
It is a single technology that enables applications to securely communicate across
any combination of cloud vendors, on-premise, edge, web and mobile, and devices.
More: https://nats.io
"""
MySQLDsn = Annotated[
    Url,
    UrlConstraints(
        allowed_schemes=[
            'mysql',
            'mysql+mysqlconnector',
            'mysql+aiomysql',
            'mysql+asyncmy',
            'mysql+mysqldb',
            'mysql+pymysql',
            'mysql+cymysql',
            'mysql+pyodbc',
        ],
        default_port=3306,
    ),
]
"""A type that will accept any MySQL DSN.

* User info required
* TLD not required
* Host required
"""
MariaDBDsn = Annotated[
    Url,
    UrlConstraints(
        allowed_schemes=['mariadb', 'mariadb+mariadbconnector', 'mariadb+pymysql'],
        default_port=3306,
    ),
]
"""A type that will accept any MariaDB DSN.

* User info required
* TLD not required
* Host required
"""
ClickHouseDsn = Annotated[
    Url,
    UrlConstraints(
        allowed_schemes=['clickhouse+native', 'clickhouse+asynch'],
        default_host='localhost',
        default_port=9000,
    ),
]
"""A type that will accept any ClickHouse DSN.

* User info required
* TLD not required
* Host required
"""

def import_email_validator() -> None:
    global email_validator
    try:
        import email_validator
    except ImportError as e:
        raise ImportError('email-validator is not installed, run `pip install pydantic[email]`') from e
    if not version('email-validator').partition('.')[0] == '2':
        raise ImportError('email-validator version >= 2.0 required, run pip install -U email-validator')

if TYPE_CHECKING:
    EmailStr = Annotated[str, ...]
else:

class EmailStr:
        """
        Info:
            To use this type, you need to install the optional
            [`email-validator`](https://github.com/JoshData/python-email-validator) package:

```bash
            pip install email-validator
            ```

Validate email addresses.

```py
        from pydantic import BaseModel, EmailStr

class Model(BaseModel):
            email: EmailStr

print(Model(email='contact@mail.com'))
        #> email='contact@mail.com'
        ```
        """  # noqa: D212

@classmethod
        def __get_pydantic_core_schema__(
            cls,
            _source: type[Any],
            _handler: GetCoreSchemaHandler,
        ) -> core_schema.CoreSchema:
            import_email_validator()
            return core_schema.no_info_after_validator_function(cls._validate, core_schema.str_schema())

@classmethod
        def __get_pydantic_json_schema__(
            cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
        ) -> JsonSchemaValue:
            field_schema = handler(core_schema)
            field_schema.update(type='string', format='email')
            return field_schema

@classmethod
        def _validate(cls, input_value: str, /) -> str:
            return validate_email(input_value)[1]

class NameEmail(_repr.Representation):
    """
    Info:
        To use this type, you need to install the optional
        [`email-validator`](https://github.com/JoshData/python-email-validator) package:

```bash
        pip install email-validator
        ```

Validate a name and email address combination, as specified by
    [RFC 5322](https://datatracker.ietf.org/doc/html/rfc5322#section-3.4).

The `NameEmail` has two properties: `name` and `email`.
    In case the `name` is not provided, it's inferred from the email address.

```py
    from pydantic import BaseModel, NameEmail

class User(BaseModel):
        email: NameEmail

user = User(email='Fred Bloggs <fred.bloggs@example.com>')
    print(user.email)
    #> Fred Bloggs <fred.bloggs@example.com>
    print(user.email.name)
    #> Fred Bloggs

user = User(email='fred.bloggs@example.com')
    print(user.email)
    #> fred.bloggs <fred.bloggs@example.com>
    print(user.email.name)
    #> fred.bloggs
    ```
    """  # noqa: D212

__slots__ = 'name', 'email'

def __init__(self, name: str, email: str):
        self.name = name
        self.email = email

def __eq__(self, other: Any) -> bool:
        return isinstance(other, NameEmail) and (self.name, self.email) == (other.name, other.email)

@classmethod
    def __get_pydantic_json_schema__(
        cls, core_schema: core_schema.CoreSchema, handler: _schema_generation_shared.GetJsonSchemaHandler
    ) -> JsonSchemaValue:
        field_schema = handler(core_schema)
        field_schema.update(type='string', format='name-email')
        return field_schema

@classmethod
    def __get_pydantic_core_schema__(
        cls,
        _source: type[Any],
        _handler: GetCoreSchemaHandler,
    ) -> core_schema.CoreSchema:
        import_email_validator()

return core_schema.no_info_after_validator_function(
            cls._validate,
            core_schema.json_or_python_schema(
                json_schema=core_schema.str_schema(),
                python_schema=core_schema.union_schema(
                    [core_schema.is_instance_schema(cls), core_schema.str_schema()],
                    custom_error_type='name_email_type',
                    custom_error_message='Input is not a valid NameEmail',
                ),
                serialization=core_schema.to_string_ser_schema(),
            ),
        )

@classmethod
    def _validate(cls, input_value: Self | str, /) -> Self:
        if isinstance(input_value, str):
            name, email = validate_email(input_value)
            return cls(name, email)
        else:
            return input_value

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 _validate(cls, input_value: NetworkType, /) -> IPv4Interface | IPv6Interface:
        return cls(input_value)  # type: ignore[return-value]

IPvAnyNetworkType: TypeAlias = 'IPv4Network | IPv6Network'

if TYPE_CHECKING:
    IPvAnyNetwork = IPvAnyNetworkType
else:

class IPvAnyNetwork:
        """Validate an IPv4 or IPv6 network."""

__slots__ = ()

def __new__(cls, value: NetworkType) -> IPvAnyNetworkType:
            """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, /) -> IPvAnyNetworkType:
            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__)

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