opensource unused

.github/workflows/docker.yml

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+name: Docker
+
+on:
+  pull_request:
+    # Publish `main` as Docker `latest` image.
+    branches:
+      - master
+
+    # Publish `v1.2.3` tags as releases.
+    tags:
+      - v*
+
+  # Run tests for any PRs.
+  push:
+
+env:
+  # Image name
+  IMAGE_NAME: gamestats-telegram
+
+jobs:
+  # Push image to GitHub Packages.
+  # See also https://docs.docker.com/docker-hub/builds/
+  push:
+
+    runs-on: ubuntu-latest
+    if: github.event_name == 'push'
+
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: Build image
+        run: docker build . --file Dockerfile --tag $IMAGE_NAME
+
+      - name: Log into registry
+        run: echo "${{ secrets.GITHUB_TOKEN }}" | docker login docker.pkg.github.com -u ${{ github.actor }} --password-stdin
+
+      - name: Push image
+        run: |
+          IMAGE_ID=docker.pkg.github.com/${{ github.repository }}/$IMAGE_NAME
+          # Change all uppercase to lowercase
+          IMAGE_ID=$(echo $IMAGE_ID | tr '[A-Z]' '[a-z]')
+          # Strip git ref prefix from version
+          VERSION=$(echo "${{ github.ref }}" | sed -e 's,.*/\(.*\),\1,')
+          # Strip "v" prefix from tag name
+          [[ "${{ github.ref }}" == "refs/tags/"* ]] && VERSION=$(echo $VERSION | sed -e 's/^v//')
+          # Use Docker `latest` tag convention
+          [ "$VERSION" == "main" ] && VERSION=latest
+          echo IMAGE_ID=$IMAGE_ID
+          echo VERSION=$VERSION
+          docker tag $IMAGE_NAME $IMAGE_ID:$VERSION
+          docker push $IMAGE_ID:$VERSION

.github/workflows/main.yml

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+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, when a release is created
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
+#    Replace the value of `aws-region` in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of `task-definition` in the workflow below with your JSON file's name.
+#    Replace the value of `container-name` in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+on:
+  # Triggers the workflow on push or pull request events but only for the main branch
+  push:
+    branches: [ main ]
+  workflow_dispatch:
+
+name: Deploy to Amazon ECS
+
+jobs:
+  deploy:
+    name: Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v2
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v1
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: eu-central-1
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        ECR_REPOSITORY: gamestats-telegram
+        IMAGE_TAG: ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+
+    - name: Fill in the new image ID in the Amazon ECS task definition
+      id: task-def
+      uses: aws-actions/amazon-ecs-render-task-definition@v1
+      with:
+        task-definition: task-definition.json
+        container-name: gamestats-telegram
+        image: ${{ steps.build-image.outputs.image }}
+
+    - name: Deploy Amazon ECS task definition
+      uses: aws-actions/amazon-ecs-deploy-task-definition@v1
+      with:
+        task-definition: ${{ steps.task-def.outputs.task-definition }}
+        service: gamestats-telegram
+        cluster: gametools
+        wait-for-service-stability: true

.gitignore

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+__pycache__

Dockerfile

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+FROM python:3
+
+WORKDIR /usr/src/app
+
+ENV token 2023757880:AAEJxQ4483PnCDHPmrKgh7w1C4HBI4mP5Ng
+ENV redishost redis-availability.1e8uve.ng.0001.euc1.cache.amazonaws.com
+ENV redisport 6379
+ENV redispass ''
+
+COPY ./requirements.txt requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# https://github.com/goverfl0w/discord-interactions/
+COPY . .
+
+CMD python ./app.py

app.py

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+# https://docs.aiogram.dev/en/latest/
+import re
+import os
+import asyncio
+from battlefield.api.api_requests import onReadyCheck
+import logging
+from aiogram import Bot, Dispatcher, executor, types
+from aiogram.contrib.fsm_storage.memory import MemoryStorage
+from aiogram.dispatcher.filters.state import State, StatesGroup
+
+API_TOKEN = os.environ["token"]
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+
+
+class StatState(StatesGroup):
+    bf2 = State()
+    bf3 = State()
+    bfh = State()
+    bf4 = State()
+    bf1 = State()
+    bf5 = State()
+
+    bf2weapongraph = State()
+    bf3weapongraph = State()
+    bfhweapongraph = State()
+    bf4weapongraph = State()
+    bf1weapongraph = State()
+    bf5weapongraph = State()
+
+    bf2vehiclegraph = State()
+    bf3vehiclegraph = State()
+    bfhvehiclegraph = State()
+    bf4vehiclegraph = State()
+    bf1vehiclegraph = State()
+    bf5vehiclegraph = State()
+
+
+# Initialize bot and dispatcher
+bot = Bot(token=API_TOKEN)
+
+storage = MemoryStorage()
+dp = Dispatcher(bot, storage=storage)
+
+
+@dp.message_handler(commands=["start", "help"])
+async def send_welcome(message: types.Message):
+    """
+    This handler will be called when user sends `/start` or `/help` command
+    """
+    await message.reply(
+        "This is the first initial version of the gamestats bot for telegram\nWe will start by adding the main commands:\n/bf1stats, /bf5stats, /bf4stats etc..."
+    )
+
+
+from battlefield.handlers import *
+
+if __name__ == "__main__":
+    asyncio.ensure_future(onReadyCheck())
+    executor.start_polling(dp, skip_updates=True)