Skip to content

Latest commit

 

History

History
320 lines (234 loc) · 8.91 KB

README.rst

File metadata and controls

320 lines (234 loc) · 8.91 KB

Docker Blueprints

CirclCI

A docker blueprint is a (usually complex) docker image that can be included in a multi-stage build so that you don't always have to find and repeat that "perfect set of Dockerfile lines to include software XYZ", such as GDAL, PDAL, etc.

How to use

Add blueprint services to your docker-compose.yml file, using project specific image names. For example:

services:

   gdal:
      build:
         context: "${VSI_COMMON_DIR}/docker/blueprints"
         dockerfile: blueprint_gdal.Dockerfile
         args:
            GDAL_VERSION: "3.3.3"
      image: &gdal_image
         example/project:gdal

   pdal:
      build:
         context: "${VSI_COMMON_DIR}/docker/blueprints"
         dockerfile: blueprint_pdal.Dockerfile
         args:
            GDAL_IMAGE: *gdal_image
            PDAL_VERSION: "2.3.0"
      image: &pdal_image
         example/project:pdal

   example:
      build:
         context: .
         dockerfile: example.Dockerfile
         args:
            GDAL_IMAGE: *gdal_image
            PDAL_IMAGE: *pdal_image
      image: example/project:example

The Dockerfile is then formulated as follows

# blueprints
ARG GDAL_IMAGE
ARG PDAL_IMAGE
FROM ${GDAL_IMAGE} AS gdal
FROM ${PDAL_IMAGE} AS pdal

# base image
FROM python:3.8

# copy from blueprints
COPY --from=gdal /usr/local /usr/local
COPY --from=pdal /usr/local /usr/local

# Only needs to be run once for all blueprints/recipes
RUN shopt -s nullglob; for patch in /usr/local/share/just/container_build_patch/*; do "${patch}"; done

Python Wheels

Docker blueprints may also build python wheels for a given tool. For example, GDAL python bindings are compiled against a user-specified PYTHON_VERSION and NUMPY_VERSION as follows:

services:

   gdal:
      build:
         context: "${VSI_COMMON_DIR}/docker/blueprints"
         dockerfile: blueprint_gdal.Dockerfile
         args:
            GDAL_VERSION: "3.3.3"
            PYTHON_VERSION: "3.9"
            NUMPY_VERSION: "1.22.3"
      image: example/project:gdal

Blueprints

GDAL

Name GDAL  
Output dir /usr/local  
Build Args GDAL_VERSION Version of GDAL to download
  PYTHON_VERSION Build python bindings for this python version
  NUMPY_VERSION Build python bindings for this numpy version

Compiles GDAL v3, including OPENJPEG 2.4, GEOS 3.11.0, libtiff 4.3, libgeotiff 1.7, PROJ v8

# global arguments
ARG PYTHON_VERSION

# blueprint input(s)
FROM example/project:gdal AS gdal

# base image
FROM python:$PYTHON_VERSION

# local args
ARG NUMPY_VERSION

# additional runtime dependencies
RUN apt-get update; \
   DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
      libgeos-c1v5; \
   rm -r /var/lib/apt/lists/*

# add blueprint
COPY --from=gdal /usr/local /usr/local

# Patch all blueprints/recipes
RUN shopt -s nullglob; for patch in /usr/local/share/just/container_build_patch/*; do "${patch}"; done

# install numpy then GDAL python bindings
RUN pip install numpy==${NUMPY_VERSION}; \
    pip install /usr/local/share/just/wheels/GDAL*.whl

PDAL

Name PDAL  
Output dir /usr/local  
Build Args PDAL_VERSION Version of PDAL to download
  PDAL_PYTHON_VERSION Version of PDAL python bindings to download
  PYTHON_VERSION Build python bindings for this python version
  NUMPY_VERSION Build python bindings for this numpy version

Compiles PDAL v2. Requires GDAL blueprint.

# global arguments
ARG PYTHON_VERSION

# blueprint input(s)
FROM example/project:gdal AS gdal
FROM example/project:pdal AS pdal

# base image
FROM python:$PYTHON_VERSION

# local args
ARG NUMPY_VERSION

# additional runtime dependencies
RUN apt-get update; \
   DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
      libgeos-c1v5; \
   rm -r /var/lib/apt/lists/*

# add blueprint(s)
COPY --from=gdal /usr/local /usr/local
COPY --from-pdal /usr/local /usr/local

# Patch all blueprints/recipes
RUN shopt -s nullglob; for patch in /usr/local/share/just/container_build_patch/*; do "${patch}"; done

# install numpy then GDAL python bindings
RUN pip install numpy==${NUMPY_VERSION}; \
    pip install /usr/local/share/just/wheels/PDAL*.whl

SWIG bindings for S2Geometry

services:

   s2:
      build:
         context: "${VSI_COMMON_DIR}/docker/blueprints"
         dockerfile: blueprint_s2geometry.Dockerfile
         args:
            # S2GEOMETRY_VERSION: "v0.11.1"
            # https://github.com/google/s2geometry/tags
            # PYTHON_VERSION: "3.10.15"
            # https://hub.docker.com/_/python/tags
            # BASE_IMAGE: "python:3.10.15-bookworm"
            # https://hub.docker.com/_/python/tags
            # ABSEIL_VERSION: "v1.6.2"
            # https://github.com/abseil/abseil-cpp/tags
      image: &s2_image
         example/project:s2

   example:
      build:
         context: .
         dockerfile: example.Dockerfile
         args:
            S2_IMAGE: *s2_image
      image: example/project:example
Name S2 Geometry  
Output dir /usr/local  
Build Args BASE_IMAGE Base image to build the wheel in. Currently works in Debian instead of Alma
  PYTHON_VERSION Build python bindings for this python version
  ABSEIL_VERSION Abseil version to build from source
  S2GEOMETRY_VERSION S2 Geometry version to build from source

Compiles S2 Geometry wheel for use in python.

# global arguments
ARG S2_IMAGE
FROM ${S2_IMAGE} AS s2

FROM some_image

...

COPY --from=s2 /usr/local /usr/local

RUN pip install /usr/local/share/just/wheels/*
# Or using pip-tools, add "--find-links /usr/local/share/just/wheels" to requirements.in
import s2Geometry as s2

ll = s2.S2LatLng.FromDegrees(51.5001525, -0.1262355)
print(s2.S2CellId(ll).ToToken())

pybind11 bindings for glog

services:

   glog:
      build:
         context: "${VSI_COMMON_DIR}/docker/blueprints"
         dockerfile: blueprint_glog.Dockerfile
         args:
            # GLOG_VERSION: "v0.7.1"
            # https://github.com/google/glog/tags
            # PYTHON_VERSION: "3.8.12"
            # https://github.com/pypa/manylinux/blob/main/docker/Dockerfile
            # BASE_IMAGE: "quay.io/pypa/manylinux_2_28_x86_64"
            # https://quay.io/repository/pypa/manylinux_2_28_x86_64?tab=tags&tag=latest
            # LIBUNWIND_VERSION: "v1.6.2"
            # https://github.com/libunwind/libunwind/tags
      image: &glog_image
         example/project:glog

   example:
      build:
         context: .
         dockerfile: example.Dockerfile
         args:
            GLOG_IMAGE: *glog_image
      image: example/project:example
Name Google Logging  
Output dir /usr/local  
Build Args BASE_IMAGE Base image to build the wheel in. Default: quay.io/pypa/manylinux_2_28_x86_64
  PYTHON_VERSION Build python bindings for this python version
  LIBUNWIND_VERSION LibUnwind version to build from source
  GLOG_VERSION Glog version to build from source

Compiles glog wheel for use in python. This is primarily to setup [Failure Signal Handlers](https://google.github.io/glog/0.7.1/failures/).

# global arguments
ARG GLOG_IMAGE
FROM ${GLOG_IMAGE} AS glog

FROM some_image

...

COPY --from=glog /usr/local /usr/local

RUN pip install /usr/local/share/just/wheels/*
# Or using pip-tools, add "--find-links /usr/local/share/just/wheels" to requirements.in
import pyglog

pyglog.initGoogleLogging("programName")
pyglog.installFailureSignalHandler()

Blueprint maintenance

To update build dependencies: docker compose run -f maintenance.yml--rm glog-compile