Managed folders in Python API¶

This class lets you interact with managed folders in Python recipes and notebooks. See Using managed folders for more information.

class dataiku.core.managed_folder.Folder(lookup, project_key=None)¶

This is a handle to interact with a managed folder.

Note: this class is also available as dataiku.Folder

clear()¶

Removes all files from the folder

file_path(filename)¶

Gets the filesystem path for a given file within the folder

Parameters:	filename (str) – Name of the file within the folder

get_last_metric_values(partition='')¶

Get the set of last values of the metrics on this folder, as a dataiku.ComputedMetrics object

get_metric_history(metric_lookup, partition='')¶

Get the set of all values a given metric took on this folder

Parameters:	metric_lookup – metric name or unique identifier partition – optionally, the partition for which the values are to be fetched

get_path()¶

Gets the filesystem path of the folder

read_json(filename)¶

Reads a JSON file within the folder and returns its parsed content

Parameters:	filename (str) – Name of the file within the folder

save_external_metric_values(values_dict)¶

Save metrics on this folder. The metrics are saved with the type “external”

Parameters:	values_dict – the values to save, as a dict. The keys of the dict are used as metric names

write_json(filename, obj)¶

Writes an object (or array) as JSON to a file within the folder

Parameters:	filename (str) – Name of the target file within the folder obj (str) – JSON-serializable object to write (generally dict or list)