convert

stardust.utils.convert.read_rosetta(project_id=None, input_path=None, pool_lst=None, export_type=None, **kwargs)

start to convert data, your choice can be: SDK、 json，default to be SDK， if you want to export other formats, please refer to stardust.conversion

Args:

project_id:

rosetta project

input_path:

path to store json data exported from Rosetta

pool_lst:

pool list from your rosetta project

export_type:

expected export data type，SDK or json

Returns:

stardust.utils.convert.read_ms(*args, **kwargs)

Export MorningStar data

Args:

dataset_id:

Data set ID

version_num:

Version number

slice_id:

Slice ID

page_no:

Slice paging

page_size:

Amount of data per page

Returns:

generator object

Examples:

from stardust.utils.convert import read_ms
from stardust.convertion.to_pandaset import to_pandaset

# Derived data
gen_data = read_ms(
    dataset_id=351787480925605888,
    version_num=18
)
# scale format
to_pandaset(gen_data, export_path:"Input save directory")