# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 1.3.0
    Contact: info@mixpeek.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, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class PluginStatusResponse(BaseModel):
    """
    Response model for plugin deployment status.  Status values: - QUEUED: Plugin is waiting in the deployment queue - PENDING: Deployment triggered, waiting for Anyscale to start - IN_PROGRESS: Blue-green deployment in progress - DEPLOYED: Plugin successfully deployed and ready - FAILED: Deployment failed - NOT_DEPLOYED: Plugin not deployed for realtime inference
    """ # noqa: E501
    plugin_id: StrictStr = Field(description="Plugin identifier")
    namespace_id: StrictStr = Field(description="Namespace ID")
    status: StrictStr = Field(description="Deployment status (QUEUED, PENDING, IN_PROGRESS, DEPLOYED, FAILED, NOT_DEPLOYED)")
    name: Optional[StrictStr] = Field(default=None, description="Plugin name")
    version: Optional[StrictStr] = Field(default=None, description="Plugin version")
    realtime_enabled: Optional[StrictBool] = Field(default=False, description="Whether realtime inference is enabled")
    message: Optional[StrictStr] = Field(default=None, description="Human-readable status message")
    queued_at: Optional[StrictStr] = Field(default=None, description="When plugin was queued (ISO format)")
    estimated_completion_seconds: Optional[StrictInt] = Field(default=None, description="Estimated time to deployment completion in seconds")
    deployed: Optional[StrictBool] = Field(default=None, description="Whether plugin is deployed")
    route_prefix: Optional[StrictStr] = Field(default=None, description="HTTP route prefix for realtime inference")
    feature_uri: Optional[StrictStr] = Field(default=None, description="Feature URI for using the plugin")
    deployed_at: Optional[StrictStr] = Field(default=None, description="When plugin was deployed (ISO format)")
    error: Optional[StrictStr] = Field(default=None, description="Error message if deployment failed")
    __properties: ClassVar[List[str]] = ["plugin_id", "namespace_id", "status", "name", "version", "realtime_enabled", "message", "queued_at", "estimated_completion_seconds", "deployed", "route_prefix", "feature_uri", "deployed_at", "error"]

    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 PluginStatusResponse 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 PluginStatusResponse from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "plugin_id": obj.get("plugin_id"),
            "namespace_id": obj.get("namespace_id"),
            "status": obj.get("status"),
            "name": obj.get("name"),
            "version": obj.get("version"),
            "realtime_enabled": obj.get("realtime_enabled") if obj.get("realtime_enabled") is not None else False,
            "message": obj.get("message"),
            "queued_at": obj.get("queued_at"),
            "estimated_completion_seconds": obj.get("estimated_completion_seconds"),
            "deployed": obj.get("deployed"),
            "route_prefix": obj.get("route_prefix"),
            "feature_uri": obj.get("feature_uri"),
            "deployed_at": obj.get("deployed_at"),
            "error": obj.get("error")
        })
        return _obj


