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# Introduction | ||
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### Welcome and Thanks! | ||
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> First off, thank you for considering contributing to our Decentralized AI Agent for Polymarket! It's contributors like you that help make this project a powerful tool for prediction markets. | ||
### Why Follow These Guidelines? | ||
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> Following these guidelines shows that you respect the time and effort of the developers working on this project. In return, we’ll address your contributions efficiently, review your changes, and help you finalize your pull requests. | ||
### Types of Contributions We Welcome | ||
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We value all kinds of contributions! Whether it’s improving our documentation, triaging bugs, or enhancing our algorithms, your contributions are greatly appreciated. | ||
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> This project is open source, and we’re thrilled to receive contributions from the community. You can help by writing tutorials, reporting bugs, suggesting new features, or contributing code to improve our AI agent. | ||
### Contributions We Do Not Seek | ||
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To streamline the process, please avoid these types of contributions: | ||
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> Please do not use the issue tracker for general support questions. For help, consider joining our the Polymarket Discord or referring to the [Polymarket API documentation](https://polymarket.com/docs). | ||
# Ground Rules | ||
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### Setting Expectations | ||
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We ask that all contributors adhere to the following standards: | ||
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> Responsibilities | ||
> * Ensure compatibility with multiple environments where our AI agent operates. | ||
> * Create issues for significant changes and gather community feedback. | ||
> * Keep changes modular and focused. | ||
> * Foster an inclusive environment and welcome contributors from diverse backgrounds. | ||
# Your First Contribution | ||
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### Getting Started | ||
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New to contributing? Here’s how you can start: | ||
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> Begin by exploring our beginner-friendly issues, which are tagged as [good first issue](#). These are smaller tasks that are great for newcomers. | ||
### Bonus: Helpful Resources | ||
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Here are some tutorials to guide you through your first open source contribution: | ||
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> New to open source? Check out [How to Contribute to an Open Source Project on GitHub](https://egghead.io/series/how-to-contribute-to-an-open-source-project-on-github). | ||
### Next Steps? | ||
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> At this point, you're ready to make your changes! Feel free to ask for help; everyone is a beginner at first :smile_cat: | ||
> | ||
> If a maintainer asks you to "rebase" your PR, they're saying that a lot of code has changed, and that you need to update your branch so it's easier to merge. | ||
# Getting Started | ||
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### Submitting Your Contribution | ||
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Follow these steps to submit your contributions: | ||
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* Fork the repository and make changes in your fork. | ||
* Ensure your code follows our [style guide](#) and passes all tests. | ||
* Sign the Contributor License Agreement (CLA), if required. | ||
* Submit a pull request with a detailed description of your changes. | ||
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> For significant changes: | ||
> 1. Fork the repo and make your changes. | ||
> 2. Ensure your changes align with the project’s coding standards. | ||
> 3. Sign the Contributor License Agreement if applicable. | ||
> 4. Open a pull request and describe the changes you’ve made. | ||
### For Small or “Obvious” Fixes | ||
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For minor fixes, such as typos or documentation improvements, you can: | ||
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> Submit a simple patch without a CLA if the change does not involve significant new functionality. Examples include: | ||
> * Typographical corrections | ||
> * Simple formatting changes | ||
> * Non-functional code adjustments | ||
# How to Report a Bug | ||
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### Security Disclosures | ||
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If you discover a security issue, please report it privately: | ||
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> If you find a security vulnerability, do NOT open an issue. Instead, email Polymarket directly. | ||
### Filing a Bug Report | ||
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When reporting a bug, please provide the following details: | ||
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> When filing a bug, include: | ||
> 1. The version of the AI agent you are using. | ||
> 2. Your operating system and environment. | ||
> 3. Steps to reproduce the issue. | ||
> 4. Expected behavior. | ||
> 5. Actual behavior observed. | ||
# How to Suggest a Feature or Enhancement | ||
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### Project Goals and Philosophy | ||
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Before suggesting a feature, understand our project goals: | ||
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> Our AI agent aims to leverage decentralized mechanisms to provide accurate predictions within Polymarket's markets. We are focused on enhancing market analysis and prediction accuracy. | ||
### Suggesting a Feature | ||
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If you have an idea for a new feature: | ||
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> Open an issue on GitHub with a detailed description of the feature, including its purpose, benefits, and any proposed implementation details. | ||
# Code Review Process | ||
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### Review and Acceptance | ||
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Our review process is as follows: | ||
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> The core team must approve the PR. |
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# Agents | ||
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Please see `CONTRIBUTING.md` for contributing guidlines. | ||
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## Local Development | ||
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This repo is inteded for use with Python 3.9 | ||
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``` | ||
virtualenv --python=python3.9 .venv | ||
source .venv/bin/activate | ||
``` | ||
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``` | ||
./build-docker.sh | ||
## Docker Development | ||
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Run the following command from the agents directory to run an ephemeral docker container with a bash shell and mounted volume: | ||
./run-docker-dev.sh | ||
Run the following commands from the agents directory to run an ephemeral docker container with a bash shell and mounted volume: | ||
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``` | ||
./scripts/bash/build-docker.sh | ||
./scripts/bash/run-docker-dev.sh | ||
``` |
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fastapi==0.111.0 | ||
py-clob-client==0.17.1 | ||
py-order-utils | ||
data_sources==0.0.1 | ||
fastapi==0.111.1 | ||
httpx==0.27.0 | ||
langchain_chroma==0.1.2 | ||
langchain_community==0.2.10 | ||
langchain_core==0.2.26 | ||
langchain_openai==0.1.19 | ||
newsapi==0.1.1 | ||
newsapi_python==0.2.7 | ||
py_clob_client==0.17.1 | ||
py_order_utils==0.3.0 | ||
pydantic==2.8.2 | ||
python-dotenv==1.0.1 | ||
tavily_python==0.3.4 | ||
tg.devtools==2.4.3 | ||
typer==0.12.3 | ||
httpx | ||
devtools==0.12.2 | ||
langchain | ||
langchainhub | ||
langchain-openai | ||
langchain-community | ||
langgraph | ||
tavily-python | ||
newsapi-python==0.2.7 | ||
jq | ||
langchain-chroma | ||
eip712-structs | ||
web3 | ||
scheduler==0.8.7 | ||
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web3==5.31.4 |
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""" | ||
% python test/test.py | ||
... | ||
---------------------------------------------------------------------- | ||
Ran 3 tests in 0.000s | ||
OK | ||
""" | ||
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import unittest | ||
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class TestStringMethods(unittest.TestCase): | ||
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def test_upper(self): | ||
self.assertEqual('foo'.upper(), 'FOO') | ||
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def test_isupper(self): | ||
self.assertTrue('FOO'.isupper()) | ||
self.assertFalse('Foo'.isupper()) | ||
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def test_split(self): | ||
s = 'hello world' | ||
self.assertEqual(s.split(), ['hello', 'world']) | ||
# check that s.split fails when the separator is not a string | ||
with self.assertRaises(TypeError): | ||
s.split(2) | ||
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if __name__ == '__main__': | ||
unittest.main() |