# coding: utf-8

"""
    STACKIT Application Load Balancer API

    This API offers an interface to provision and manage Application Load Balancers in your STACKIT project.This solution offers modern L7 load balancing. Current features include TLS, path and prefix based routing aswell as routing based on headers, query parameters and keeping connections persistent with cookies and web sockets.  For each Application Load Balancer provided, two VMs are deployed in your STACKIT project and are subject to fees.

    The version of the OpenAPI document: 2.0.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing_extensions import Annotated, Self

from stackit.alb.models.protocol_options_http import ProtocolOptionsHTTP
from stackit.alb.models.protocol_options_https import ProtocolOptionsHTTPS


class Listener(BaseModel):
    """
    Listener
    """  # noqa: E501

    http: Optional[ProtocolOptionsHTTP] = None
    https: Optional[ProtocolOptionsHTTPS] = None
    name: Optional[Annotated[str, Field(strict=True)]] = Field(default=None, description="A unique listener name.")
    port: Optional[Annotated[int, Field(le=65535, strict=True, ge=1)]] = Field(
        default=None, description="Port number on which the listener receives incoming traffic."
    )
    protocol: Optional[StrictStr] = Field(
        default=None,
        description="Protocol is the highest network protocol we understand to load balance. Currently PROTOCOL_HTTP and PROTOCOL_HTTPS are supported.",
    )
    waf_config_name: Optional[Annotated[str, Field(strict=True)]] = Field(
        default=None,
        description='Enable Web Application Firewall (WAF), referenced by name. See "Application Load Balancer - Web Application Firewall API" for more information.',
        alias="wafConfigName",
    )
    __properties: ClassVar[List[str]] = ["http", "https", "name", "port", "protocol", "wafConfigName"]

    @field_validator("name")
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if value is None:
            return value

        if not re.match(r"^[0-9a-z](?:(?:[0-9a-z]|-){0,61}[0-9a-z])?$", value):
            raise ValueError(r"must validate the regular expression /^[0-9a-z](?:(?:[0-9a-z]|-){0,61}[0-9a-z])?$/")
        return value

    @field_validator("protocol")
    def protocol_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(["PROTOCOL_UNSPECIFIED", "PROTOCOL_HTTP", "PROTOCOL_HTTPS"]):
            raise ValueError("must be one of enum values ('PROTOCOL_UNSPECIFIED', 'PROTOCOL_HTTP', 'PROTOCOL_HTTPS')")
        return value

    @field_validator("waf_config_name")
    def waf_config_name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if value is None:
            return value

        if not re.match(r"^[0-9a-z](?:(?:[0-9a-z]|-){0,61}[0-9a-z])?$", value):
            raise ValueError(r"must validate the regular expression /^[0-9a-z](?:(?:[0-9a-z]|-){0,61}[0-9a-z])?$/")
        return value

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )

    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of Listener from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of http
        if self.http:
            _dict["http"] = self.http.to_dict()
        # override the default output from pydantic by calling `to_dict()` of https
        if self.https:
            _dict["https"] = self.https.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of Listener from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "http": ProtocolOptionsHTTP.from_dict(obj["http"]) if obj.get("http") is not None else None,
                "https": ProtocolOptionsHTTPS.from_dict(obj["https"]) if obj.get("https") is not None else None,
                "name": obj.get("name"),
                "port": obj.get("port"),
                "protocol": obj.get("protocol"),
                "wafConfigName": obj.get("wafConfigName"),
            }
        )
        return _obj
