docker compose setup (#162)

Co-authored-by: Kerem Yilmaz <kerem@skyvern.com>
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LawyZheng 2024-04-11 08:54:27 +08:00 committed by GitHub
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.dockerignore Normal file
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**/videos
**/artifacts
**/traces
**/inputs
**/har
**/.git
**/.github
**/.mypy_cache
**/.venv
**/.vscode
*.env*
# Streamlit ignores
**/secrets*.toml
# Skyvern
docs
images
.dockerignore
.gitignore
Dockerfile

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name: Build Docker Image and Push to ECR
on:
release:
types: [ published ]
env:
AWS_REGION: us-east-1
ECR_REPOSITORY: skyvern
REGISTRY_ALIAS: t6d4b5t4 # skyvern
jobs:
run-ci:
uses: ./.github/workflows/ci.yml
build-docker-image:
runs-on: ubuntu-latest
needs: [ run-ci ]
steps:
- name: Check out Git repository
uses: actions/checkout@v4
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ env.AWS_REGION }}
- name: Login to Amazon ECR Public
id: login-ecr-public
uses: aws-actions/amazon-ecr-login@v2
with:
registry-type: public
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v1
- name: Build, tag, and push image to Amazon Public ECR
id: build-image
uses: docker/build-push-action@v2
env:
ECR_REGISTRY: ${{ steps.login-ecr-public.outputs.registry }}
with:
context: .
platforms: |
linux/amd64
linux/arm64
push: true
tags: |
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_REPOSITORY }}:${{ github.sha }}
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_REPOSITORY }}:${{ github.event.release.tag_name }}
${{ env.ECR_REGISTRY}}/${{ env.REGISTRY_ALIAS }}/${{ env.ECR_REPOSITORY }}:latest

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@ -4,6 +4,7 @@ name: Run tests and pre-commit
# `branches: [main], then this actions runs _twice_ on pull requests, which is
# annoying.
on:
workflow_call:
pull_request:
push:
branches: [main]

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.gitignore vendored
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@ -164,6 +164,7 @@ artifacts/
traces/
*.pkl
har/
postgres-data
# Streamlit ignores
**/secrets*.toml

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FROM python:3.11 as requirements-stage
WORKDIR /tmp
RUN pip install poetry
COPY ./pyproject.toml /tmp/pyproject.toml
COPY ./poetry.lock /tmp/poetry.lock
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes
FROM python:3.11-slim-bookworm
WORKDIR /app
COPY --from=requirements-stage /tmp/requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt
RUN pip install --no-cache-dir streamlit
RUN playwright install-deps
RUN playwright install
RUN apt-get install -y xauth && apt-get clean
COPY . /app
ENV PYTHONPATH="/app:$PYTHONPATH"
ENV VIDEO_PATH=/data/videos
ENV HAR_PATH=/data/har
ENV ARTIFACT_STORAGE_PATH=/data/artifacts
COPY ./entrypoint-skyvern.sh /app/entrypoint-skyvern.sh
RUN chmod +x /app/entrypoint-skyvern.sh
COPY ./entrypoint-streamlit.sh /app/entrypoint-streamlit.sh
RUN chmod +x /app/entrypoint-streamlit.sh
CMD [ "/bin/bash", "/app/entrypoint-skyvern.sh" ]

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@ -105,6 +105,16 @@ Note: Our setup script does these two for you, but they are here for reference.
```
1. Navigate to `http://localhost:8501` in your browser to start using the UI
## Docker Compose setup
1. Fill in the LLM provider key on the [docker-compose.yml](./docker-compose.yml)
2. Run the following command:
```bash
docker compose up -d
```
3. Navigate to `http://localhost:8501` in your browser to start using the UI
## Additional Setup for Contributors
If you're looking to contribute to Skyvern, you'll need to install the pre-commit hooks to ensure code quality and consistency. You can do this by running the following command:
```bash

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version: '3.8'
services:
postgres:
image: postgres:14-alpine
# comment out if you want to externally connect DB
# ports:
# - 5432:5432
volumes:
- ./postgres-data:/var/lib/postgresql/data
environment:
- PGDATA=/var/lib/postgresql/data/pgdata
- POSTGRES_USER=skyvern
- POSTGRES_PASSWORD=skyvern
- POSTGRES_POSTGRES_DB=skyvern
healthcheck:
test: ["CMD-SHELL", "pg_isready -U skyvern"]
interval: 5s
timeout: 5s
retries: 5
skyvern:
image: public.ecr.aws/t6d4b5t4/skyvern:latest
restart: on-failure
# comment out if you want to externally call skyvern API
# ports:
# - 8000:8000
volumes:
- ./artifacts:/data/artifacts
- ./videos:/data/videos
- ./har:/data/har
- ./.streamlit:/app/.streamlit
environment:
- DATABASE_STRING=postgresql+psycopg://skyvern:skyvern@postgres:5432/skyvern
- BROWSER_TYPE=chromium-headful
- ENABLE_OPENAI=true
- OPENAI_API_KEY=<your_openai_key>
# If you want to use other LLM provider, like azure and anthropic:
# - ENABLE_ANTHROPIC=true
# - ANTHROPIC_API_KEY=<your_anthropic_key>
# - ENABLE_AZURE=true
# - LLM_KEY=AZURE_OPENAI_GPT4V
# - AZURE_DEPLOYMENT=<your_azure_deployment>
# - AZURE_API_KEY=<your_azure_api_key>
# - AZURE_API_BASE=<your_azure_api_base>
# - AZURE_API_VERSION=<your_azure_api_version>
depends_on:
postgres:
condition: service_healthy
streamlit:
image: public.ecr.aws/t6d4b5t4/skyvern:latest
restart: on-failure
ports:
- 8501:8501
volumes:
- ./artifacts:/data/artifacts
- ./videos:/data/videos
- ./har:/data/har
- ./.streamlit:/app/.streamlit
command: ["/bin/bash", "entrypoint-streamlit.sh"]
depends_on:
- skyvern

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#!/bin/bash
set -e
# check alembic
alembic upgrade head
alembic check
if [ ! -f ".streamlit/secrets.toml" ]; then
echo "Creating organization and API token..."
org_output=$(python scripts/create_organization.py Skyvern-Open-Source)
api_token=$(echo "$org_output" | awk '/token=/{gsub(/.*token='\''|'\''.*/, ""); print}')
# Update the secrets-open-source.toml file
echo -e "[skyvern]\nconfigs = [\n {\"env\" = \"local\", \"host\" = \"http://skyvern:8000/api/v1\", \"orgs\" = [{name=\"Skyvern\", cred=\"$api_token\"}]}\n]" > .streamlit/secrets.toml
echo ".streamlit/secrets.toml file updated with organization details."
fi
# Run the command and pass in all three arguments
xvfb-run python -m skyvern.forge

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#!/bin/bash
set -e
# Run the command and pass in all three arguments
streamlit run streamlit_app/visualizer/streamlit.py --server.port 8501