feat: Add git into docker images

Author: aiakide

.pre-commit-config.yaml

@@ -0,0 +1,11 @@
+repos:
+-   repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v2.3.0
+    hooks:
+    -   id: check-yaml
+    -   id: end-of-file-fixer
+    -   id: trailing-whitespace
+-   repo: https://github.com/psf/black
+    rev: 22.10.0
+    hooks:
+    -   id: black

docker/jupyter/Dockerfile

@@ -50,12 +50,10 @@ RUN apt-get update \
         # deps for installing poetry
         curl \
         # deps for building python deps
-        build-essential \
-        # git
-        git
+        build-essential
 
 # install poetry - respects $POETRY_VERSION & $POETRY_HOME
-# The --mount will mount the buildx cache directory to where 
+# The --mount will mount the buildx cache directory to where
 # Poetry and Pip store their cache so that they can re-use it
 RUN --mount=type=cache,target=/root/.cache \
     curl -sSL https://install.python-poetry.org | python3 -
@@ -76,12 +74,13 @@ RUN --mount=type=cache,target=/root/.cache \
 FROM python-base as production
 COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
 
+RUN apt-get update && apt-get install -y git
+
 ADD ../../configs/jupyter_lab_config.py /root/.jupyter/jupyter_lab_config.py
 ADD ../../configs/jupytext.toml /root/.config/jupytext.toml
 
 WORKDIR /workshop
 EXPOSE 8888 4141
 ENV SHELL="/bin/bash"
-ENV GIT_PYTHON_REFRESH="quiet"
 
 ENTRYPOINT ["jupyter", "lab"]

docker/mlflow/Dockerfile

@@ -16,7 +16,7 @@ ENV PYTHONUNBUFFERED=1 \
     PYTHONDONTWRITEBYTECODE=1 \
     \
     # pip
-    PIP_DISABLE_PIP_VERSION_CHECK=on \
+    PIP_DISABLE_PIP_VERSION_CHECK=on
     PIP_DEFAULT_TIMEOUT=100 \
     \
     # poetry
@@ -51,8 +51,7 @@ RUN apt-get update \
         curl \
         # deps for building python deps
         build-essential \
-        gcc \
-        git
+        gcc
 
 # install poetry - respects $POETRY_VERSION & $POETRY_HOME
 # The --mount will mount the buildx cache directory to where
@@ -76,11 +75,9 @@ RUN --mount=type=cache,target=/root/.cache \
 FROM python-base as production
 COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
 
-
 WORKDIR /ml_data
 EXPOSE 5001
 ENV SHELL="/bin/bash"
-ENV GIT_PYTHON_REFRESH="quiet"
 
 
 ENTRYPOINT ["mlflow","server","--host","0.0.0.0","--port","5001"]