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