Seamlessly run your Palantir Foundry Repository transforms code on your local machine.
Project description
Foundry DevTools
Seamlessly run your Palantir Foundry Repository transforms code and more on your local machine. Foundry DevTools is a set of useful libraries to interact with the Foundry APIs. There are currently three high level entrypoints to Foundry DevTools:
-
A transforms implementation
- An implementation of the Foundry
transforms
package that internally uses theCachedFoundryClient
. This allows you to seamlessly run your Palantir Foundry Code Repository transforms code on your local machine. Foundry DevTools does not cover all of Foundry's features, more on this here.
- An implementation of the Foundry
-
-
An API client that contains an opinionated client implementation to some of Foundry's APIs.
-
For example:
from foundry_dev_tools import FoundryRestClient # Queries the Foundry SQL Server with spark SQL dialect rest_client = FoundryRestClient() df = rest_client.query_foundry_sql("SELECT * FROM `/Global/Foundry Training and Resources/Foundry Reference Project/Ontology Project: Aviation/airlines`", branch='master') df.shape # Out[2]: (17, 10)
-
-
-
An implementation of
fsspec
for Foundry. Useful to interact with Foundry from popular data science libraries such aspandas
ordask
. -
For example:
import pandas as pd # /Global/Foundry Training and Resources/Foundry Reference Project/Ontology Project: Aviation/airlines df = pd.read_parquet("foundry://ri.foundry.main.dataset.5d78f3ae-a588-4fd8-9ba2-66827808c85f") df.shape # Out[2]: (17, 10)
-
Quickstart
pip install foundry-dev-tools
Further instructions can be found in our documentation.
Why did we build this?
- Local development experience in your favourite IDE (PyCharm, VSCode, ...)
- Access to modern developer tools and workflows such as pylint, black, isort, pre-commit hooks etc.
- Quicker turnaround time when making changes
- Debug, change code and run in a matter of seconds instead of minutes
- No accidental or auto commits
- Keep your git history clean
License
Copyright (c) 2023 Merck KGaA, Darmstadt, Germany
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
The full text of the license can be found in the LICENSE file in the repository root directory.
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