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        "description": "# starfish-py\n\n![](https://github.com/datacraft-dsc/starfish-py/workflows/testing/badge.svg)\n[![GitHub contributors](https://img.shields.io/github/contributors/datacraft-dsc/starfish-py.svg)](https://github.com/datacraft-dsc/starfish-py/graphs/contributors)\n[![datacraft-chain Version](https://img.shields.io/badge/datacraft--chain-release-blue.svg)](https://github.com/datacraft-dsc/datacraft-chain)\n\n---\n\n## Table of Contents\n\n  - [About](#about)\n  - [Features](#features)\n  - [Prerequisites](#prerequisites)\n  - [Quickstart](#quickstart)\n  - [Environment variables](#environment-variables)\n  - [Testing](#testing)\n  - [New Version](#new-version)\n  - [Mailing Lists](#mailing-list)\n  - [Maintainers](#maintainers)\n  - [License](#license)\n\n---\n\n## About\n\nStarfish is an open-sourced developer toolkit for the data economy. Available in flavours of Java, Python, and Clojure, it allows developers, data scientists and enterprises to create, interact, integrate and manage a data supply line through standardised and simple-to-use APIs.\n\nBased on an underlying data ecosystem standard, Starfish provides high-level APIs for common tasks within the data economy, for example, registering/publishing an asset, for subsequent use in a data supply line. In this case, an asset can be any data set, model or data service. The high-level API also allows developers to invoke operation on an asset, e.g. computing a predictive model or anonymising sensitive personal information, among other capabilities.\n\nStarfish works with blockchain networks, such as Ocean Protocol, and common web services through agents, allowing unprecedented flexibility in asset discovery and data supply line management.\n\nStarfish-py provides user access and tools to work with the Ocean Protocol Network, delegating certain functions via the python library squid-py.\n\nWhile we strive to deliver code at a high quality, please note, that there exist parts of the library that still need thorough testing.\nContributions \u2013 whether it is in the form of new features, better documentation or tests \u2013 are welcome.\n\n## Prerequisites\n\nPython >= 3.6\n\n## Development\n\n1. Clone this repo\n\n    ```bash\n    clone https://github.com/datacraft-dsc/starfish-py.git\n    cd starfish-py\n    ```\n\n1. Set up a virtual environment\n\n    ```bash\n    virtualenv venv\n    source venv/bin/activate\n    ```\n\n1. Install package requirements for starfish\n\n    ```bash\n    make install\n    ```\n\n1. Run the unit tests, without any supporting software/libraries outside of starfish\n\n    ```bash\n    make test_unit\n    ```\n\n1. Create the local testing environment using [datacraft-chain](https://github.com/datacraft-dsc/datacraft-chain).\n\n    In a seperate terminal session you need to clone and checkout ```datacraft-chain``` repository, by doing the following:\n    ```\n    git clone https://github.com/datacraft-dsc/datacraft-chain.git\n    cd datacraft-chain\n    ./start_datacraft_chain.sh test\n    ```\n\n1. Run the integration tests\n\n    ```\n    pytest tests/integration\n    ```\n\n1. Run the all tests\n\n    ```bash\n    make tests\n    ```\n\n## Documentation\n\n1. Build Sphinx documentation\n\n    To build the Syphinx auto documentation, you need to do the following:\n    ```bash\n    make docs\n    ```\n\nThe [documentation](https://datacraft-dsc.github.io/starfish-py) for this repo.\n\n\n## Testing\n\nAutomatic tests are setup via github actions.\nOur test use pytest framework.\nThe testing uses a datacraft-chain docker image and surfer server.\nSee [github actions for testing](https://github.com/datacraft-dsc/starfish-py/blob/release/.github/workflows/testing.yml)\n\n## New Version\n\nThe `bumpversion.sh` script helps to bump the project version. You can execute the script using as first argument {major|minor|patch} to bump accordingly the version.\n\n## Mailing Lists\n\n  * [starfish-qa](developer@datacraft.sg) -- General questions regarding the usage of Starfish.\n\n## Release Process\n\nSee [Release Process](https://github.com/datacraft-dsc/starfish-py/blob/develop/RELEASE_PROCESS.md)\n\n\n## Maintainers\n\n [Developer Datacraft team](developer@datacraft-dsc.sg)\n\n\n## License\n\n```\nCopyright 2018-2021 Datacraft Pte. Ltd.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.",
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