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Task Parent#

pyticktick.models.v2.responses.task_parent #

Response for a batch task parent POST request via the V2 API.

Unofficial API

These models are part of the unofficial TickTick API. They were created by reverse engineering the API. They may be incomplete or inaccurate.

Classes:

Name Description
BatchTaskParentRespV2

Model for the response of a batch task parent request via the V2 API.
BatchTaskParentRespValueV2

Model for the nested values of a batch task parent response via the V2 API.

BatchTaskParentRespV2 pydantic-model #

Bases: BaseModelV2

Model for the response of a batch task parent request via the V2 API.

The id2etag and id2error fields return the objectId field as the key like the BatchRespV2 model. Unlike the BatchRespV2 model, the values provided are more complex and informative than just an ETag.

Show JSON schema: 
{
  "$defs": {
    "BatchTaskParentRespValueV2": {
      "additionalProperties": false,
      "description": "Model for the nested values of a batch task parent response via the V2 API.",
      "properties": {
        "id": {
          "title": "Id",
          "type": "string"
        },
        "parentId": {
          "anyOf": [
            {
              "type": "string"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "title": "Parentid"
        },
        "childIds": {
          "anyOf": [
            {
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            {
              "type": "null"
            }
          ],
          "default": null,
          "title": "Childids"
        },
        "etag": {
          "pattern": "^[a-z0-9]{8}$",
          "title": "Etag",
          "type": "string"
        },
        "modifiedTime": {
          "format": "date-time",
          "title": "Modifiedtime",
          "type": "string"
        }
      },
      "required": [
        "id",
        "etag",
        "modifiedTime"
      ],
      "title": "BatchTaskParentRespValueV2",
      "type": "object"
    }
  },
  "additionalProperties": false,
  "description": "Model for the response of a batch task parent request via the V2 API.\n\nThe `id2etag` and `id2error` fields return the `objectId` field as the key like\nthe `BatchRespV2` model. Unlike the `BatchRespV2` model, the values provided are\nmore complex and informative than just an `ETag`.",
  "properties": {
    "id2error": {
      "additionalProperties": {
        "type": "string"
      },
      "description": "Mapping of tasks that failed to be updated",
      "title": "Id2Error",
      "type": "object"
    },
    "id2etag": {
      "additionalProperties": {
        "$ref": "#/$defs/BatchTaskParentRespValueV2"
      },
      "description": "Mapping of tasks that were successfully updated",
      "title": "Id2Etag",
      "type": "object"
    }
  },
  "required": [
    "id2error",
    "id2etag"
  ],
  "title": "BatchTaskParentRespV2",
  "type": "object"
}

Fields:

Validators:

etags property #

etags: list[str]

List of all the ETags in the response.

id2error pydantic-field #

id2error: dict[ObjectId, str]

Mapping of tasks that failed to be updated

id2etag pydantic-field #

id2etag: dict[ObjectId, BatchTaskParentRespValueV2]

Mapping of tasks that were successfully updated

ids property #

ids: list[str]

List of all the IDs in the response.

empty_str_to_none pydantic-validator #

empty_str_to_none(v: Any) -> Any

Convert empty strings to None.

TickTick API responses sometimes conflates None and empty strings for optional fields. This validator ensures that empty strings are converted to None, which then allows for more consistent handling of the data within the library.

Parameters:

Name Type Description Default
v Any

The value to validate.

 required

Returns:

Name Type Description
Any Any

The input value if it is not an empty string, otherwise None.
Source code in src/pyticktick/models/v2/models.py 
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@field_validator("*", mode="before")
@classmethod
def empty_str_to_none(cls, v: Any) -> Any:
    """Convert empty strings to None.

    TickTick API responses sometimes conflates `None` and empty strings for
    optional fields. This validator ensures that empty strings are converted to
    `None`, which then allows for more consistent handling of the data within the
    library.

    Args:
        v (Any): The value to validate.

    Returns:
        Any: The input value if it is not an empty string, otherwise `None`.
    """
    if isinstance(v, str) and len(v) == 0:
        return None
    return v

override_forbid_extra_message_injector pydantic-validator #

override_forbid_extra_message_injector(
    data: Any,
    handler: ModelWrapValidatorHandler[BaseModelV2],
) -> BaseModelV2

Provide a better error message for extra fields.

The TickTick V2 API is unofficial and may change without notice. As such, the models may not always be up to date with the API. This validator catches the extra_forbidden errors and provides a more informative error message, including a link to the documentation on how to override the extra_forbidden behavior if needed.

Parameters:

Name Type Description Default
data Any

The input data to validate.

 required
handler ModelWrapValidatorHandler[BaseModelV2]

The handler to call the next validator in the chain.

 required

Raises:

Type Description
ValidationError

If the pydantic model fails validation for any reason.

Returns:

Name Type Description
BaseModelV2 BaseModelV2

The validated model instance.
Source code in src/pyticktick/models/v2/models.py 
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@model_validator(mode="wrap")
@classmethod
def override_forbid_extra_message_injector(
    cls,
    data: Any,
    handler: ModelWrapValidatorHandler[BaseModelV2],
) -> BaseModelV2:
    """Provide a better error message for extra fields.

    The TickTick V2 API is unofficial and may change without notice. As such, the
    models may not always be up to date with the API. This validator catches the
    `extra_forbidden` errors and provides a more informative error message,
    including a link to the documentation on how to override the `extra_forbidden`
    behavior if needed.

    Args:
        data (Any): The input data to validate.
        handler (ModelWrapValidatorHandler[BaseModelV2]): The handler to call the
            next validator in the chain.

    Raises:
        ValidationError: If the pydantic model fails validation for any reason.

    Returns:
        BaseModelV2: The validated model instance.
    """  # noqa: DOC501, DOC502 # ruff thinks `from_exception_data` should be raised instead of `ValidationError`
    try:
        return handler(data)
    except ValidationError as e:
        errors = []
        for error_dict in e.errors():
            if error_dict.get("type") in (
                "extra_forbidden",
                "custom_pyticktick_extra_forbidden",
            ):
                _type: str | PydanticCustomError = PydanticCustomError(
                    "custom_pyticktick_extra_forbidden",
                    f"Extra inputs are not permitted by default for `{cls.__name__}`. Please set `override_forbid_extra` to `True` if you believe the TickTick API has diverged from the model. See https://pyticktick.pretzer.io/guides/settings/overriding_models_that_forbid_extra_fields/ for more information.",  # pyright: ignore[reportArgumentType] # ty: ignore[invalid-argument-type]
                )
            else:
                _type = error_dict["type"]

            init_error_details: InitErrorDetails = {
                "type": _type,
                "input": error_dict["input"],
            }
            if "loc" in error_dict:
                init_error_details["loc"] = error_dict["loc"]
            if "ctx" in error_dict:
                init_error_details["ctx"] = error_dict["ctx"]

            errors.append(init_error_details)

        raise ValidationError.from_exception_data(e.title, errors) from e

BatchTaskParentRespValueV2 pydantic-model #

Bases: BaseModelV2

Model for the nested values of a batch task parent response via the V2 API.

Show JSON schema: 
{
  "additionalProperties": false,
  "description": "Model for the nested values of a batch task parent response via the V2 API.",
  "properties": {
    "id": {
      "title": "Id",
      "type": "string"
    },
    "parentId": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Parentid"
    },
    "childIds": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Childids"
    },
    "etag": {
      "pattern": "^[a-z0-9]{8}$",
      "title": "Etag",
      "type": "string"
    },
    "modifiedTime": {
      "format": "date-time",
      "title": "Modifiedtime",
      "type": "string"
    }
  },
  "required": [
    "id",
    "etag",
    "modifiedTime"
  ],
  "title": "BatchTaskParentRespValueV2",
  "type": "object"
}

Fields:

Validators:

empty_str_to_none pydantic-validator #

empty_str_to_none(v: Any) -> Any

Convert empty strings to None.

TickTick API responses sometimes conflates None and empty strings for optional fields. This validator ensures that empty strings are converted to None, which then allows for more consistent handling of the data within the library.

Parameters:

Name Type Description Default
v Any

The value to validate.

 required

Returns:

Name Type Description
Any Any

The input value if it is not an empty string, otherwise None.
Source code in src/pyticktick/models/v2/models.py 
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@field_validator("*", mode="before")
@classmethod
def empty_str_to_none(cls, v: Any) -> Any:
    """Convert empty strings to None.

    TickTick API responses sometimes conflates `None` and empty strings for
    optional fields. This validator ensures that empty strings are converted to
    `None`, which then allows for more consistent handling of the data within the
    library.

    Args:
        v (Any): The value to validate.

    Returns:
        Any: The input value if it is not an empty string, otherwise `None`.
    """
    if isinstance(v, str) and len(v) == 0:
        return None
    return v

override_forbid_extra_message_injector pydantic-validator #

override_forbid_extra_message_injector(
    data: Any,
    handler: ModelWrapValidatorHandler[BaseModelV2],
) -> BaseModelV2

Provide a better error message for extra fields.

The TickTick V2 API is unofficial and may change without notice. As such, the models may not always be up to date with the API. This validator catches the extra_forbidden errors and provides a more informative error message, including a link to the documentation on how to override the extra_forbidden behavior if needed.

Parameters:

Name Type Description Default
data Any

The input data to validate.

 required
handler ModelWrapValidatorHandler[BaseModelV2]

The handler to call the next validator in the chain.

 required

Raises:

Type Description
ValidationError

If the pydantic model fails validation for any reason.

Returns:

Name Type Description
BaseModelV2 BaseModelV2

The validated model instance.
Source code in src/pyticktick/models/v2/models.py 
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@model_validator(mode="wrap")
@classmethod
def override_forbid_extra_message_injector(
    cls,
    data: Any,
    handler: ModelWrapValidatorHandler[BaseModelV2],
) -> BaseModelV2:
    """Provide a better error message for extra fields.

    The TickTick V2 API is unofficial and may change without notice. As such, the
    models may not always be up to date with the API. This validator catches the
    `extra_forbidden` errors and provides a more informative error message,
    including a link to the documentation on how to override the `extra_forbidden`
    behavior if needed.

    Args:
        data (Any): The input data to validate.
        handler (ModelWrapValidatorHandler[BaseModelV2]): The handler to call the
            next validator in the chain.

    Raises:
        ValidationError: If the pydantic model fails validation for any reason.

    Returns:
        BaseModelV2: The validated model instance.
    """  # noqa: DOC501, DOC502 # ruff thinks `from_exception_data` should be raised instead of `ValidationError`
    try:
        return handler(data)
    except ValidationError as e:
        errors = []
        for error_dict in e.errors():
            if error_dict.get("type") in (
                "extra_forbidden",
                "custom_pyticktick_extra_forbidden",
            ):
                _type: str | PydanticCustomError = PydanticCustomError(
                    "custom_pyticktick_extra_forbidden",
                    f"Extra inputs are not permitted by default for `{cls.__name__}`. Please set `override_forbid_extra` to `True` if you believe the TickTick API has diverged from the model. See https://pyticktick.pretzer.io/guides/settings/overriding_models_that_forbid_extra_fields/ for more information.",  # pyright: ignore[reportArgumentType] # ty: ignore[invalid-argument-type]
                )
            else:
                _type = error_dict["type"]

            init_error_details: InitErrorDetails = {
                "type": _type,
                "input": error_dict["input"],
            }
            if "loc" in error_dict:
                init_error_details["loc"] = error_dict["loc"]
            if "ctx" in error_dict:
                init_error_details["ctx"] = error_dict["ctx"]

            errors.append(init_error_details)

        raise ValidationError.from_exception_data(e.title, errors) from e