Source code for hvpy.api_groups.jpeg2000.get_jpx

from typing import Union, Optional
from datetime import datetime

from pydantic import field_validator

from hvpy.datasource import DataSource
from hvpy.io import HvpyParameters, OutputType
from hvpy.utils import _data_source_to_int, convert_date_to_isoformat


[docs]class getJPXInputParameters(HvpyParameters): """ Handles the input parameters of the ``getJPX`` API. .. {Shared} Attributes ---------- startTime Datetime for the beginning of the JPX movie data. endTime Datetime for the end of the JPX movie data. sourceId Unique image datasource identifier. linked Generate a linked JPX file containing image pointers instead of data for each individual frame in the series. Default is `True`, optional. verbose if set to `True`, the JSON response will include timestamps for each frame in the resulting movie and any warning messages associated with the request. In addition to the JPX movie file URI. Default is `False`, optional. jpip Return a JPIP URI string instead of the binary data of the movie itself, or instead of an HTTP URI in the JSON response (if ``verbose`` is set to `True`). Default is `False`, optional. cadence The desired amount of time (in seconds) between each frame in the movie. Default is `None` (maximum cadence), optional. References ---------- * `<https://api.helioviewer.org/docs/v2/api/api_groups/jpeg2000.html#getjpx>`__ .. {Shared} """ startTime: datetime endTime: datetime sourceId: Union[int, DataSource] linked: bool = True verbose: bool = False jpip: bool = False cadence: Optional[int] = None _date_validator = field_validator("startTime", "endTime")(convert_date_to_isoformat) _source_id_validator = field_validator("sourceId")(_data_source_to_int) def get_output_type(self) -> OutputType: """ Returns the output type of the API call. """ if not self.jpip and not self.verbose: return OutputType.RAW elif self.jpip and not self.verbose: return OutputType.STRING else: return OutputType.JSON