Add Docker

Author: wasin-waeosri

.dockerignore

@@ -0,0 +1,5 @@
+README.md
+LICENSE.md
+note.txt
+images/
+ldlib_mrn/

Dockerfile

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+#Build stage
+ARG PYTHON_VERSION=3.11
+ARG VARIANT=slim-bookworm
+FROM python:${PYTHON_VERSION}-slim-bookworm AS builder 
+
+LABEL maintainer="LSEG Developer Relations"
+
+#Copy requirements.txt
+COPY requirements.txt .
+
+# install dependencies to the local user directory (eg. /root/.local)
+#RUN pip install --no-cache-dir --user -r requirements.txt
+RUN pip install --trusted-host pypi.python.org --trusted-host files.pythonhosted.org --trusted-host pypi.org --no-cache-dir --user -r requirements.txt
+
+# Run stage
+FROM python:${PYTHON_VERSION}-alpine3.20
+WORKDIR /app
+
+# Update PATH environment variable + set Python buffer to make Docker print every message instantly.
+ENV PATH=/root/.local:$PATH \
+    PYTHONUNBUFFERED=1\
+    PYTHONIOENCODING=utf-8\
+    PYTHONLEGACYWINDOWSSTDIO=utf-8
+
+# copy only the dependencies installation from the 1st stage image
+COPY --from=builder /root/.local /root/.local
+COPY src/* .
+
+#Run Python
+ENTRYPOINT ["python", "OMMStream-MRN-LD.py"]

README.md

@@ -135,6 +135,24 @@ It is an advisable to create a dedicate Python environment to run each Python pr
 
 If you are using the [Anaconda](https://anaconda.org/anaconda/conda)/[Miniconda](https://docs.anaconda.com/miniconda/) Python distribution, please refer to the [Conda document](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) about how to create a virtual environment using Conda.
 
+## <a id="how_to_run_docker"></a>Bonus: How to run this example with Docker
+
+1. Setup the ```src/lseg_data.config.json``` file based on your preference like the instructions above
+2. Go to the project folder in the console
+3. Run the following command in a console to build an image from a Dockerfile.
+
+    ```bash
+    $> docker build -t mrn_python .
+    ```
+
+4. Once the build is a success, you can create and run the container with the following command
+
+    ```bash
+    $> docker run --name mrn_python -it mrn_python mrn_python
+    ```
+
+5. Press Ctrl+C buttons to stop the application
+
 ## Example Results
 
 ### MRN Data Refresh Message