```python
from dataclasses import dataclass
from typing import List, Union
import os
import pytest
import yaml
import docker

@dataclass
class PragmaticProgrammerAGIAgent:
    """
    The PragmaticProgrammerAGIAgent class empowers the creation of high-quality code by combining advanced techniques
    to generate, evaluate, and refine code along with its corresponding tests. It follows the principles of the Pragmatic
    Programmer's approach to software development.
    """
    DEFAULT_PROMPT = "How can I assist you to develop software?"
    DEFAULT_SYS_MSG = "I'm here to help understand and build your ideas into working software."
    DEFAULT_MODEL = "text-davinci-002"
    DEFAULT_MAX_RETRY = 5
    DEFAULT_BACKOFF_FACTOR = 2
    DEFAULT_INITIAL_WAIT = 1

    prompt: str = DEFAULT_PROMPT
    sys_msg: str = DEFAULT_SYS_MSG
    msgs: List[str] = None
    funcs: dict = None
    model: str = DEFAULT_MODEL
    max_retry: int = DEFAULT_MAX_RETRY
    backoff_factor: int = DEFAULT_BACKOFF_FACTOR
    initial_wait: int = DEFAULT_INITIAL_WAIT
    raw_msg: bool = False

    def openai_completion(self) -> Union[str, dict]:
        """
        Customized completion function that interacts with the OpenAI API, capable of handling prompts, system messages,
        """
        # TODO: Add your implementation for the OpenAI API
        pass
    

    def build_docker_compose(self, filename: str):
        services = {
            'service1': {
                'build': './dir1',
                'volumes': ['../data/dir1:/data'],
            }
        }

        config = {
            'version': '3',
            'services': services,
        }

        with open(filename, 'w') as file:
            document = yaml.dump(config, file)

    def setup_git_actions(self):
        # Create directory if not exist
        os.makedirs('.github/workflows', exist_ok=True)

        with open('.github/workflows/main.yml', 'w') as file:
            file.write('name: Main\n')
            file.write('on: [push]\n')
            file.write('jobs:\n')
            file.write('  build:\n')
            file.write('    runs-on: ubuntu-latest\n')
            file.write('    steps:\n')
            file.write('    - name: Checkout code\n')
            file.write('      uses: actions/checkout@v2\n')
            file.write('    - name: Run a multi-line script\n')
            file.write('      run: |\n')
            file.write('        echo Add your steps here\n')
            file.write('        echo Don\'t forget to setup your environment!\n')

    def run_pytest(self):
        assert os.system("pytest") == 0, "Tests failed"

    def tracer_bullet_implementation(self, input_data, output_filename):
        # OpenAI's API is used to generate code that processes `input_data` and writes the result to `output_filename`.
        pass
      
if __name__ == "__main__":
    agent = PragmaticProgrammerAGIAgent()
    agent.build_docker_compose('docker-compose.yml')
    agent.setup_git_actions()
    agent.run_pytest()
    agent.tracer_bullet_implementation('input_data', 'output_filename')
```