Python library for interacting with the Microsoft Planetary Computer.
For general questions or discussions about the Planetary Computer, use the microsoft/PlanetaryComputer repository.
pip install planetary-computerIf you have an API subscription key, you may provide it to the library by using the included configuration CLI:
planetarycomputer configureAlternatively, a subscription key may be provided by specifying it in the PC_SDK_SUBSCRIPTION_KEY environment variable. A subcription key is not required for interacting with the service, however having one in place allows for less restricted rate limiting.
This library assists with signing Azure Blob Storage URLs. The sign function operates directly on an HREF string, as well as several PySTAC objects: Asset, Item, and ItemCollection. In addition, the sign function accepts a STAC API Client ItemSearch, which performs a search and returns the resulting ItemCollection with all assets signed.
If you're using pystac-client we recommend you use its feature to automatically sign results with planetary_computer.sign_inplace:
import planetary_computer import pystac_client from pystac_client import Client import planetary_computer, requests api = Client.open( 'https://planetarycomputer.microsoft.com/api/stac/v1', modifier=planetary_computer.sign_inplace, )Now all the results you get from that client will be signed.
Alternatively, you can manually call planetary_computer.sign on your results.
from pystac import Asset, Item, ItemCollection from pystac_client import ItemSearch import planetary_computer as pc # The sign function may be called directly on the Item raw_item: Item = ... item: Item = pc.sign(raw_item) # Now use the item however you want. All appropriate assets are signed for read access. # The sign function also works with an Asset raw_asset: Asset = raw_item.assets['SR_B4'] asset = pc.sign(raw_asset) # The sign function also works with an HREF raw_href: str = raw_asset.href href = pc.sign(raw_href) # The sign function also works with an ItemCollection raw_item_collection = ItemCollection([raw_item]) item_collection = pc.sign(raw_item_collection) # The sign function also accepts an ItemSearch, and signs the resulting ItemCollection search = ItemSearch( url=..., bbox=..., collections=..., limit=..., max_items=..., ) signed_item_collection = pc.sign(search)You'll occasionally need to interact with the Blob Storage container directly, rather than using STAC items. We include two convenience methods for this:
planetary_computer.get_container_client: Get anazure.storage.blob.ContainerClientplanetary_computer.get_adlfs_filesystem: Get anadlfs.AzureBlobFilesystem
The following steps may be followed in order to develop locally:
## Create and activate venv python3 -m venv env source env/bin/activate ## Install requirements python3 -m pip install -r requirements-dev.txt ## Install locally pip install -e .[adlfs,azure,dev] ## Format code ./scripts/format ## Run tests ./scripts/testThis project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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