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FROM python:3.9-slim-bullseye AS base
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RUN set -x
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RUN apt-get update \
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&& apt-get -y install curl \
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&& apt-get -y install net-tools \
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&& apt-get -y install procps \
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&& apt-get -y install build-essential \
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&& apt-get -y install docker.io
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# Install notebook depenency
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RUN pip install ipython ipykernel
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RUN ipython kernel install --user --name promptflow
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# FROM base AS promptflow
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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RUN set +x
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CMD bash
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# Devcontainer for promptflow
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To facilitate your promptflow project development and empower you to work on LLM projects using promptflow more effectively,
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we've configured the necessary environment for developing promptflow projects and utilizing flows through the dev container feature.
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You can seamlessly initiate your promptflow project development and start leveraging flows by simply using the dev container feature via VS Code or Codespaces.
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## Use Github Codespaces
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Use codespaces to open promptflow repo, it will automatically build the dev containers environment and open promptflow with dev containers. You can just click: [](https://codespaces.new/microsoft/promptflow?quickstart=1)
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## Use local devcontainer
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Use vscode to open promptflow repo, and install vscode extension: Dev Containers and then open promptflow with dev containers.
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**About dev containers please refer to: [dev containers](https://code.visualstudio.com/docs/devcontainers/containers)**
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{
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"name": "Promptflow-Python39",
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// "context" is the path that the Codespaces docker build command should be run from, relative to devcontainer.json
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"context": ".",
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"dockerFile": "Dockerfile",
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"runArgs": ["-v", "/var/run/docker.sock:/var/run/docker.sock"],
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"remoteEnv": {
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"HOST_PROJECT_PATH": "${localWorkspaceFolder}"
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},
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"customizations": {
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"codespaces": {
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"openFiles": ["README.md", "examples/README.md"]
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},
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"vscode": {
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// Set *default* container specific settings.json values on container create.
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"settings": {
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"terminal.integrated.shell.linux": "/bin/bash"
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},
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// Add the IDs of extensions you want installed when the container is created.
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"extensions": [
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"ms-python.python",
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"ms-toolsai.vscode-ai",
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"ms-toolsai.jupyter",
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"redhat.vscode-yaml",
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"prompt-flow.prompt-flow"
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]
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}
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},
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"features": {
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"ghcr.io/devcontainers/features/azure-cli:1": {}
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}
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}
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promptflow[azure]>=1.9.0
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promptflow-tools
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