This release is a pre-release and may not be stable for production use.
MsGraphExporter
MsGraphExporter is an application that performs periodic export of time-domain data like Azure AD user signins from Microsoft Graph API into a buffer key-value store (currently supports Redis) for subsequent processing. It uses Celery task queue for parallel processing, gevent greenlets for concurrent uploads, relies on the Graph API pagination to control memory footprint and respects Graph API throttling. The application could be deployed as a single-container worker or as a set of multiple queue-specific workers for high reliability and throughput.
Getting Started
Follow these instructions to use the application.
Installing
MsGraphExporter is distributed through the Python Package Index as ms-graph-exporter. Run the following command to:
-
install a specific version
pip install "ms-graph-exporter==0.1"
-
install the latest version
pip install "ms-graph-exporter"
-
upgrade to the latest version
pip install --upgrade "ms-graph-exporter"
-
install optional DEV dependencies like
pytestframework and plugins necessary for performance and functional testingpip install "ms-graph-exporter[test]"
MsGraphExporter is also distributed as the Alpine-based docker container and published on Docker Hub as undp/ms-graph-exporter.
Service Principal credentials with correct access rights to Graph API must be defined for docker/docker-compose.yamlexample deployment to work. Following .env file should be placed at the root of the project folder, or following ENV variables defined in other way:
GRAPH_CLIENT_ID=<clientId>
GRAPH_CLIENT_SECRET=<clientSecret>
GRAPH_TENANT=<tenant>
Then, docker deployment could be initiated with:
docker-compose --file docker/docker-compose.yaml up
Requirements
- Python >= 3.6
Built using
- Celery - Distributed task queue
- gevent - concurrent data upload to Redis
- redis-py - Python interface to Redis
Versioning
We use Semantic Versioning Specification as a version numbering convention.
Release History
For the available versions, see the tags on this repository. Specific changes for each version are documented in CHANGELOG.md.
Also, conventions for git commit messages are documented in CONTRIBUTING.md.
Authors
- Oleksiy Kuzmenko - OK-UNDP@GitHub - Initial design and implementation
Acknowledgments
- Hat tip to all individuals shaping design of this project by sharing their knowledge in articles, blogs and forums.
License
Unless otherwise stated, all authors (see commit logs) release their work under the MIT License. See LICENSE.md for details.
Contributing
There are plenty of ways you could contribute to this project. Feel free to:
- submit bug reports and feature requests
- outline, fix and expand documentation
- peer-review bug reports and pull requests
- implement new features or fix bugs
See CONTRIBUTING.md for details on code formatting, linting and testing frameworks used by this project.
Metadata
Release files for ms-graph-exporter 0.1.0rc4.dev201910092
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ms-graph-exporter-0.1.0rc4.dev201910092.tar.gz | 33.8 kB | Without provenance | Details for ms-graph-exporter-0.1.0rc4.dev201910092.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ms_graph_exporter-0.1.0rc4.dev201910092-py3-none-any.whl | Python 3 | none | any | Details for ms_graph_exporter-0.1.0rc4.dev201910092-py3-none-any.whl |
Total release size: 83.7 kB
Release files / ms-graph-exporter-0.1.0rc4.dev201910092.tar.gz
| Download URL | ms-graph-exporter-0.1.0rc4.dev201910092.tar.gz |
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| Size | 33.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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Release files / ms_graph_exporter-0.1.0rc4.dev201910092-py3-none-any.whl
| Download URL | ms_graph_exporter-0.1.0rc4.dev201910092-py3-none-any.whl |
|---|---|
| Size | 49.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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