# coding: utf-8

"""
    Picteus

    The Picteus API

    The version of the OpenAPI document: 0.14.0
    Contact: edouard@koppasoft.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, field_validator
from typing import Any, ClassVar, Dict, List
from typing_extensions import Annotated
from picteus_ws_client.models.manifest_runtime_environment import ManifestRuntimeEnvironment
from typing import Optional, Set
from typing_extensions import Self

class ExtensionGenerationOptions(BaseModel):
    """
    The options for generating an extension
    """ # noqa: E501
    id: Annotated[str, Field(min_length=1, strict=True, max_length=32)] = Field(description="The identifier of the extension")
    version: Annotated[str, Field(min_length=5, strict=True, max_length=32)] = Field(description="The version of the extension, which should follow the semver convention")
    name: Annotated[str, Field(min_length=1, strict=True, max_length=128)] = Field(description="The name of the extension")
    description: Annotated[str, Field(min_length=1, strict=True, max_length=1024)] = Field(description="The description of the extension's purpose")
    author: Annotated[str, Field(min_length=1, strict=True, max_length=128)] = Field(description="The author of the extension")
    environment: ManifestRuntimeEnvironment = Field(description="The runtime the extension relies on")
    __properties: ClassVar[List[str]] = ["id", "version", "name", "description", "author", "environment"]

    @field_validator('id')
    def id_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-z0-9A-Z-_.]{1,32}$", value):
            raise ValueError(r"must validate the regular expression /^[a-z0-9A-Z-_.]{1,32}$/")
        return value

    @field_validator('version')
    def version_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(?:-((?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\.(?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\+([0-9a-zA-Z-]+(?:\.[0-9a-zA-Z-]+)*))?$", value):
            raise ValueError(r"must validate the regular expression /^(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(?:-((?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\.(?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\+([0-9a-zA-Z-]+(?:\.[0-9a-zA-Z-]+)*))?$/")
        return value

    @field_validator('name')
    def name_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[a-z0-9A-Z-_. ]{1,128}$", value):
            raise ValueError(r"must validate the regular expression /^[a-z0-9A-Z-_. ]{1,128}$/")
        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 ExtensionGenerationOptions 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "version": obj.get("version"),
            "name": obj.get("name"),
            "description": obj.get("description"),
            "author": obj.get("author"),
            "environment": obj.get("environment")
        })
        return _obj


