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[WIP] Create missing deployment files in trading-bot directory#7

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xpertforextradeinc merged 1 commit intomainfrom
copilot/fix-916751a9-85d6-44ac-8122-79254797e85c
Sep 27, 2025
Merged

[WIP] Create missing deployment files in trading-bot directory#7
xpertforextradeinc merged 1 commit intomainfrom
copilot/fix-916751a9-85d6-44ac-8122-79254797e85c

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Copilot AI commented Sep 27, 2025

Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

Original prompt

Create the following files in the /trading-bot directory to prepare the repository for deployment:

  1. Dockerfile:
    This file contains the instructions for building the container image. Include the following content:

    FROM python:3.11-slim
    
    WORKDIR /app
    
    COPY requirements.txt /app/
    RUN pip install --no-cache-dir -r requirements.txt
    
    COPY . /app
    
    ENV PYTHONUNBUFFERED=1
    
    CMD ["python", "-m", "main"]
  2. requirements.txt:
    This file lists the dependencies for the project. Include:

    asyncio
    aiohttp
    websockets
    ccxt==2.7.69
    python-dotenv
    pydantic
    numpy
    pandas
    
  3. main.py:
    This is the entry point for the trading bot. Include:

    import asyncio
    
    async def main():
        print("Trading bot is running...")
    
    if __name__ == "__main__":
        asyncio.run(main())
  4. cloudrun.yaml:
    Configuration file for deploying to Google Cloud Run. Include:

    apiVersion: serving.knative.dev/v1
    kind: Service
    metadata:
      name: trading-bot
    spec:
      template:
        spec:
          containers:
            - image: gcr.io/[PROJECT-ID]/trading-bot
              env:
                - name: BOT_MODE
                  value: "paper"

These files will enable the repository to run the bot locally or deploy it to Google Cloud Run.

*This pull request was created as a result of the following prompt from Copilot chat.* > Create the following files in the /trading-bot directory to prepare the repository for deployment: > > 1. **Dockerfile**: > This file contains the instructions for building the container image. Include the following content: > ```Dockerfile > FROM python:3.11-slim > > WORKDIR /app > > COPY requirements.txt /app/ > RUN pip install --no-cache-dir -r requirements.txt > > COPY . /app > > ENV PYTHONUNBUFFERED=1 > > CMD ["python", "-m", "main"] > ``` > > 2. **requirements.txt**: > This file lists the dependencies for the project. Include: > ``` > asyncio > aiohttp > websockets > ccxt==2.7.69 > python-dotenv > pydantic > numpy > pandas > ``` > > 3. **main.py**: > This is the entry point for the trading bot. Include: > ```python > import asyncio > > async def main(): > print("Trading bot is running...") > > if __name__ == "__main__": > asyncio.run(main()) > ``` > > 4. **cloudrun.yaml**: > Configuration file for deploying to Google Cloud Run. Include: > ```yaml > apiVersion: serving.knative.dev/v1 > kind: Service > metadata: > name: trading-bot > spec: > template: > spec: > containers: > - image: gcr.io/[PROJECT-ID]/trading-bot > env: > - name: BOT_MODE > value: "paper" > ``` > > These files will enable the repository to run the bot locally or deploy it to Google Cloud Run.

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

@xpertforextradeinc xpertforextradeinc marked this pull request as ready for review September 27, 2025 21:06
Copilot AI review requested due to automatic review settings September 27, 2025 21:06
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@xpertforextradeinc xpertforextradeinc merged commit 23e1ebc into main Sep 27, 2025
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3 participants