Source code for arize._generated.api_client.models.project

# coding: utf-8

"""
    Arize REST API

    API specification for the backend data server. The API is hosted globally at https://api.arize.com/v2 or in your own environment. 

    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 pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List
from typing import Optional, Set
from typing_extensions import Self



class Project(BaseModel):
    """
    A project represents an LLM application and serves as the primary container for observability data. Each project collects traces and spans that capture the execution flow of your application, enabling you to debug issues, monitor latency, and analyze token usage. Projects belong to a space and provide a centralized view of your application's performance. Use projects to organize related traces, run experiments against datasets, and track improvements over time. 
    """ # noqa: E501
    id: StrictStr = Field(description="The project ID")
    name: StrictStr = Field(description="The project name")
    space_id: StrictStr = Field(description="The space ID the project belongs to")
    created_at: datetime = Field(description="When the project was created")
    __properties: ClassVar[List[str]] = ["id", "name", "space_id", "created_at"]

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

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

        # raise errors for additional fields in the input
        for _key in obj.keys():
            if _key not in cls.__properties:
                raise ValueError("Error due to additional fields (not defined in Project) in the input: " + _key)

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "name": obj.get("name"),
            "space_id": obj.get("space_id"),
            "created_at": obj.get("created_at")
        })
        return _obj