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To build an asyncio-based Python client for parsing and interacting with Stonfi DEX's API.
Bounty Context
Why it's Important?
Creating a Python parsing client for Stonfi DEX will facilitate developers' access to DEX data. This can provide a foundation for building various services around these data, such as data mining or other data-related services. Having a Python client will make the DEX data more easily accessible and manipulable in one of the most widely used programming languages for data science.
Problem showcase
Currently, accessing Stonfi DEX's data may be less convenient than ideally possible. Developers needing this data for their projects might need to undertake tedious manual works to integrate the DEX's API into their applications. Additionally, they need to manually organize the data, which can be cumbersome and error-prone.
Potential Solution
We aim to build a Python client tool-kit that utilises asyncio for requests to the DEX's API, capable of both GET and POST requests. The toolkit will provide functions to efficiently serialize the obtained data. Moreover, it will provide the capability to save data for further usage or data mining purposes. Essentially, the toolkit will simplify the interaction between Python developers and the Stonfi DEX's data.
Summary
To build an asyncio-based Python client for parsing and interacting with Stonfi DEX's API.
Bounty Context
Why it's Important?
Creating a Python parsing client for Stonfi DEX will facilitate developers' access to DEX data. This can provide a foundation for building various services around these data, such as data mining or other data-related services. Having a Python client will make the DEX data more easily accessible and manipulable in one of the most widely used programming languages for data science.
Problem showcase
Currently, accessing Stonfi DEX's data may be less convenient than ideally possible. Developers needing this data for their projects might need to undertake tedious manual works to integrate the DEX's API into their applications. Additionally, they need to manually organize the data, which can be cumbersome and error-prone.
Potential Solution
We aim to build a Python client tool-kit that utilises asyncio for requests to the DEX's API, capable of both GET and POST requests. The toolkit will provide functions to efficiently serialize the obtained data. Moreover, it will provide the capability to save data for further usage or data mining purposes. Essentially, the toolkit will simplify the interaction between Python developers and the Stonfi DEX's data.
Defenition of Done
References
Please review the similar solutions at:
Python's asyncio documentation: https://docs.python.org/3/library/asyncio.html
Python's requests library: https://docs.python-requests.org/en/latest/
Some asyncio related medium blog: https://medium.com/@yeraydiazdiaz/asyncio-coroutine-patterns-beyond-await-a6121486656f
https://docs.ston.fi/docs/developer-section/sdk
REWARD
Thank you for your attention and we ask for your support so that we can bring more quality and useful tools to the ecosystem!
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