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Fixing pip install user selection issue with custom image - https://g… #72

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18 changes: 18 additions & 0 deletions Labs/Airflow_Labs/Lab_1/Dockerfile
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FROM apache/airflow:2.5.1-python3.7

# Install as airflow user (not root)
USER airflow

# Install packages with --user flag to ensure they go to the right location
RUN pip install --user \
pandas \
scikit-learn \
numpy \
matplotlib \
seaborn
# Any additional packages that might be needed.

# Verify installations
RUN python -c "import pandas; print('pandas:', pandas.__version__)" && \
python -c "import sklearn; print('sklearn:', sklearn.__version__)" && \
python -c "import numpy; print('numpy:', numpy.__version__)"
6 changes: 5 additions & 1 deletion Labs/Airflow_Labs/Lab_1/README.md
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Expand Up @@ -125,7 +125,11 @@ Cloud
AIRFLOW__CORE__LOAD_EXAMPLES: 'false'

# Additional python package
_PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:- pandas }
# 1. edit the Dockerfile with the packages of your interest
# 2. Replace image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:3.1.0} with
image: my-airflow:3.1.0
# 3. build your image
docker build --no-cache -t my-airflow:3.1.0

# Output dir
- ${AIRFLOW_PROJ_DIR:-.}/working_data:/opt/airflow/working_data
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