Settings

This tutorial describes methods for viewing and editing PODPAC settings used to configure the features of the library.

To follow along, open a Python interpreter or Jupyter notebook in the Python environment where PODPAC is installed.

# activate the PODPAC environment, using anaconda
$ conda activate podpac

# open jupyter lab
$ jupyter lab

# or start a ipython interpreter
$ ipython

View Settings

PODPAC settings are accessed through the podpac.settings module. Import the settings module:

In [1]: from podpac import settings

The settings are stored in a dictionary format, accessible in the interpreter:

In [2]: settings
Out[2]:
{'DEBUG': False,
 'ROOT_PATH': 'C:\\Users\\user\\.podpac',
 'AUTOSAVE_SETTINGS': False,
 ...
}

To view the default settings, view settings.defaults:

In [3]: settings.defaults
Out[3]:
{'DEBUG': False,
 'ROOT_PATH': 'C:\\Users\\user\\.podpac',
 'AUTOSAVE_SETTINGS': False,
 ...
}

For documentation on individual PODPAC settings, view the podpac.settings module docstring:

In [1]: from podpac import settings
In [2]:print(settings.__doc__)

    Persistently stored podpac settings

    Podpac settings are persistently stored in...

Edit Settings

PODPAC settings can be edited multiple ways:

As a Dictionary

Since the podpac.settings module is a dictionary, the simplest way to edit settings is to directly set values:

In [1]: from podpac import settings

In [2]: settings["DEBUG"] = True
In [3]: settings["CACHE_OUTPUT_DEFAULT"] = False

These changed settings will only be active for current interpreter session (or script). Close and reopen a new interpreter session and you will see the settings values are back to default:

In [1]: from podpac import settings

In [2]: settings["DEBUG"]
Out[2]: False

To persistently save changes to settings values, run settings.save() after making changes:

In [1]: from podpac import settings

In [2]: settings["DEBUG"] = True
In [3]: settings.save()

To auto-save settings on any changes, set the settings["AUTOSAVE_SETTINGS"] value to True:

In [1]: from podpac import settings

In [2]: settings["AUTOSAVE_SETTINGS"] = True

To reset settings to defaults, call the settings.reset() method. To persistently reset defaults, call the settings.save() method after calling settings.reset():

In [1]: from podpac import settings

In [2]: settings.reset()

In [3]: settings.save()   # to persistently reset defaults

As a JSON file

PODPAC settings can be pre-configured by creating a custom settings.json file.

Create a settings.json file in the current working directory:

{
    "DEBUG": true,
    "S3_BUCKET_NAME": "podpac-bucket"
}

Open a new interpreter and load the podpac.settings module to see the overwritten values:

In [1]: from podpac import settings

In [2]: settings["DEBUG"]
Out[2]: True

This file can also be placed in the the PODPAC root directory. To see the PODPAC root directory, view settings["ROOT_PATH"]:

In [1]: from podpac import settings

In [2]: settings["ROOT_PATH"]
Out[5]: 'C:\\Users\\user\\.podpac'

Edit the settings.json file in the "ROOT_PATH" location, then open a new interpreter and load the podpac.settings module to see the overwritten values:

{
    "DISK_CACHE_MAX_BYTES ": 1e9,
}
In [1]: from podpac import settings

In [2]: settings["DISK_CACHE_MAX_BYTES"]
Out[2]:  1000000000.0

If a settings.json files exist in multiple places, PODPAC will load settings in the following order, overwriting previously loaded settings in the process:

  • podpac default settings

  • home directory settings (~/.podpac/settings.json)

  • current working directory settings (./settings.json)

The attribute settings.settings_path shows the path of the last loaded settings file (e.g. the active settings file).

In [1]: from podpac import settings

In [2]: settings.settings_path
Out[2]: 'C:\\Users\\user\\.podpac'

A settings.json file can be loaded from outside the search path using the settings.load() method:

In [1]: from podpac import settings

In [2]: settings.load(path='custom/path/', filename='settings.json')