Source code for openapi_client.models.data_pipelines_post_response

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 1.0
    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 pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from openapi_client.models.data_pipelines_post_response_lambda_upload_urls_value import DataPipelinesPostResponseLambdaUploadUrlsValue
from typing import Optional, Set
from typing_extensions import Self



class DataPipelinesPostResponse(BaseModel):
    """
    DataPipelinesPostResponse
    """ # noqa: E501
    message: Optional[StrictStr] = Field(default=None, alias="Message")
    data_pipeline_id: Optional[StrictStr] = Field(default=None, alias="DataPipelineId")
    lambda_upload_urls: Optional[Dict[str, DataPipelinesPostResponseLambdaUploadUrlsValue]] = Field(default=None, description="Presigned URLs for Lambda node code uploads (for AI Flow pipelines with Lambda nodes). Only present when pipeline contains LambdaFunction nodes.", alias="LambdaUploadUrls")
    __properties: ClassVar[List[str]] = ["Message", "DataPipelineId", "LambdaUploadUrls"]

    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 DataPipelinesPostResponse 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 each value in lambda_upload_urls (dict)
        _field_dict = {}
        if self.lambda_upload_urls:
            for _key_lambda_upload_urls in self.lambda_upload_urls:
                if self.lambda_upload_urls[_key_lambda_upload_urls]:
                    _field_dict[_key_lambda_upload_urls] = self.lambda_upload_urls[_key_lambda_upload_urls].to_dict()
            _dict['LambdaUploadUrls'] = _field_dict
        return _dict




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

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

        _obj = cls.model_validate({
            "Message": obj.get("Message"),
            "DataPipelineId": obj.get("DataPipelineId"),
            "LambdaUploadUrls": dict(
                (_k, DataPipelinesPostResponseLambdaUploadUrlsValue.from_dict(_v))
                for _k, _v in obj["LambdaUploadUrls"].items()
            )
            if obj.get("LambdaUploadUrls") is not None
            else None
        })
        return _obj