[CI] Fix-Up Docker Build (Use Python) (#11139)

This commit is contained in:
Ian Rodney
2020-10-12 14:22:51 -07:00
committed by GitHub
parent 1ebcdf236f
commit 6426fb3fff
10 changed files with 291 additions and 14 deletions
+5 -2
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@@ -186,6 +186,7 @@ matrix:
# Build Linux wheels and jars.
- os: linux
env:
# - PYTHON=3.6
- LINUX_WHEELS=1 LINUX_JARS=1
- PYTHONWARNINGS=ignore
- RAY_INSTALL_JAVA=1
@@ -197,7 +198,9 @@ matrix:
- . ./ci/travis/ci.sh build
script:
- . ./ci/travis/ci.sh test_wheels
- if [[ "$TRAVIS_PULL_REQUEST" != "false" ]]; then . $TRAVIS_BUILD_DIR/ci/travis/build-docker-images.sh; fi
- export PATH="$HOME/miniconda3/bin:$PATH"
- python -m pip install docker
- if [[ "$TRAVIS_PULL_REQUEST" != "false" ]]; then python $TRAVIS_BUILD_DIR/ci/travis/build-docker-images.py; fi
- bash ./java/build-jar-multiplatform.sh linux
cache: false
@@ -496,7 +499,7 @@ deploy:
- provider: script
edge: true # This supposedly opts in to deploy v2.
script: ./ci/keep_alive bash $TRAVIS_BUILD_DIR/ci/travis/build-docker-images.sh
script: export PATH="$HOME/miniconda3/bin:$PATH"; ./ci/keep_alive python $TRAVIS_BUILD_DIR/ci/travis/build-docker-images.py
skip_cleanup: true
on:
repo: ray-project/ray
+1 -1
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@@ -16,7 +16,7 @@ key="$1"
case $key in
--gpu)
GPU="-gpu"
BASE_IMAGE="nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04"
BASE_IMAGE="nvidia/cuda:10.1-cudnn8-runtime-ubuntu18.04"
;;
--no-cache-build)
NO_CACHE="--no-cache"
+260
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@@ -0,0 +1,260 @@
import datetime
import functools
import glob
import os
import re
import runpy
import shutil
import sys
from contextlib import redirect_stdout
from io import StringIO
from typing import List
import docker
print = functools.partial(print, file=sys.stderr, flush=True)
DOCKER_USERNAME = "raytravisbot"
DOCKER_CLIENT = None
PYTHON_WHL_VERSION = "cp37m"
def _merge_build():
return os.environ.get("TRAVIS_PULL_REQUEST") == "false"
def _release_build():
branch = os.environ.get("TRAVIS_BRANCH")
if not branch:
print("Branch not found!")
print(os.environ)
print("Environment is above ^^")
return False
return branch != "master" and "releases" in branch
def _get_curr_dir():
return os.path.dirname(os.path.realpath(__file__))
def _get_root_dir():
return os.path.join(_get_curr_dir(), "../../")
def _get_wheel_name():
matches = glob.glob(
f"{_get_root_dir()}/.whl/*{PYTHON_WHL_VERSION}-manylinux*")
assert len(matches) == 1, (
f"Found ({len(matches)}) matches "
"'*{PYTHON_WHL_VERSION}-manylinux*' instead of 1")
return os.path.basename(matches[0])
def _docker_affected():
result = StringIO()
with redirect_stdout(result):
runpy.run_path(
f"{_get_curr_dir()}/determine_tests_to_run.py",
run_name="__main__")
variable_definitions = result.getvalue().split()
env_var_dict = {
x.split("=")[0]: x.split("=")[1]
for x in variable_definitions
}
affected = env_var_dict["RAY_CI_DOCKER_AFFECTED"] == "1" or \
env_var_dict["RAY_CI_PYTHON_DEPENDENCIES_AFFECTED"] == "1"
print(f"Docker affected: {affected}")
return affected
def _build_cpu_gpu_images(image_name) -> List[str]:
built_images = []
for gpu in ["-cpu", "-gpu"]:
build_args = {}
if image_name == "base-deps":
build_args["BASE_IMAGE"] = (
"nvidia/cuda:10.1-cudnn8-runtime-ubuntu18.04"
if gpu == "-gpu" else "ubuntu:focal")
else:
build_args["GPU"] = gpu
if "ray" in image_name:
build_args["WHEEL_PATH"] = f".whl/{_get_wheel_name()}"
tagged_name = f"rayproject/{image_name}:nightly{gpu}"
for i in range(2):
output = DOCKER_CLIENT.api.build(
path=os.path.join(_get_root_dir(), "docker", image_name),
tag=tagged_name,
nocache=True,
buildargs=build_args)
full_output = ""
try:
start = datetime.datetime.now()
current_iter = start
for line in output:
# print(line)
if datetime.datetime.now(
) - current_iter >= datetime.timedelta(minutes=5):
current_iter = datetime.datetime.now()
elapsed = datetime.datetime.now() - start
print(f"Still building {tagged_name} after "
f"{elapsed.seconds} seconds")
full_output += line.decode("utf-8")
except Exception as e:
print(f"FAILURE with error {e}")
if len(DOCKER_CLIENT.api.images(tagged_name)) == 0:
print(f"ERROR building: {tagged_name} & error below:")
print(full_output)
if (i == 1):
raise Exception("FAILED TO BUILD IMAGE")
print("TRYING AGAIN")
else:
break
print("BUILT: ", tagged_name)
built_images.append(tagged_name)
return built_images
def copy_wheels():
root_dir = _get_root_dir()
wheel = _get_wheel_name()
source = os.path.join(root_dir, ".whl", wheel)
ray_dst = os.path.join(root_dir, "docker/ray/.whl/")
ray_dep_dst = os.path.join(root_dir, "docker/ray-deps/.whl/")
os.makedirs(ray_dst, exist_ok=True)
shutil.copy(source, ray_dst)
os.makedirs(ray_dep_dst, exist_ok=True)
shutil.copy(source, ray_dep_dst)
def build_or_pull_base_images(is_docker_affected: bool) -> List[str]:
"""Returns images to tag and build"""
_ = DOCKER_CLIENT.api.pull(
repository="rayproject/base-deps", tag="nightly")
age = DOCKER_CLIENT.api.inspect_image("rayproject/base-deps:nightly")[
"Created"]
short_date = datetime.datetime.strptime(age.split("T")[0], "%Y-%m-%d")
is_stale = (
datetime.datetime.now() - short_date) > datetime.timedelta(days=14)
if is_stale or is_docker_affected or _release_build():
for image in ["base-deps", "ray-deps"]:
_build_cpu_gpu_images(image)
return True
else:
print("Just pulling images!")
_ = DOCKER_CLIENT.api.pull(
repository="rayproject/base-deps", tag="nightly-cpu")
_ = DOCKER_CLIENT.api.pull(
repository="rayproject/base-deps", tag="nightly-gpu")
_ = DOCKER_CLIENT.api.pull(
repository="rayproject/ray-deps", tag="nightly-gpu")
_ = DOCKER_CLIENT.api.pull(
repository="rayproject/ray-deps", tag="nightly-cpu")
return False
def build_ray():
return _build_cpu_gpu_images("ray")
def build_ray_ml():
root_dir = _get_root_dir()
requirement_files = glob.glob(
f"{_get_root_dir()}/python/requirements*.txt")
for fl in requirement_files:
shutil.copy(fl, os.path.join(root_dir, "docker/ray-ml/"))
ray_ml_images = _build_cpu_gpu_images("ray-ml")
for img in ray_ml_images:
tag = img.split(":")[-1]
DOCKER_CLIENT.api.tag(
image=img, repository="rayproject/autoscaler", tag=tag)
# For non-release builds, push "nightly" & "sha"
# For release builds, push "nightly" & "latest" & "x.x.x"
def push_and_tag_images(push_base_images: bool):
if _merge_build():
docker_password = os.environ.get("DOCKER_PASSWORD")
assert docker_password is not None, "DOCKER_PASSWORD not set."
DOCKER_CLIENT.api.login(
username=DOCKER_USERNAME,
password=os.environ.get("DOCKER_PASSWORD"))
def docker_push(image, tag):
if _merge_build():
result = DOCKER_CLIENT.api.push(image, tag=tag)
print(f"PUSHING: {image}:{tag}, result:")
print(result)
else:
print(
"This is a PR Build! On a merge build, we would normally push "
f"to: {image}:{tag}")
def get_new_tag(old_tag, new_tag):
return old_tag.replace("nightly", new_tag)
date_tag = datetime.datetime.now().strftime("%Y-%m-%d")
sha_tag = os.environ.get("TRAVIS_COMMIT")[:6]
if _release_build():
release_name = re.search("[0-9]\.[0-9]\.[0-9]",
os.environ.get("TRAVIS_BRANCH"))
date_tag = release_name
sha_tag = release_name
image_list = ["ray", "ray-ml", "autoscaler"]
if push_base_images:
image_list.extend(["base-deps", "ray-deps"])
for image in image_list:
full_image = f"rayproject/{image}"
# Generate <IMAGE_NAME>:nightly from nightly-cpu
DOCKER_CLIENT.api.tag(
image=f"{full_image}:nightly-cpu",
repository=full_image,
tag="nightly")
for arch_tag in ["-cpu", "-gpu", ""]:
full_arch_tag = f"nightly{arch_tag}"
# Tag and push rayproject/<image>:nightly<arch_tag>
docker_push(full_image, full_arch_tag)
specific_tag = get_new_tag(
full_arch_tag, date_tag if "-deps" in image else sha_tag)
# Tag and push rayproject/<image>:<sha/date><arch_tag>
DOCKER_CLIENT.api.tag(
image=f"{full_image}:{full_arch_tag}",
repository=full_image,
tag=specific_tag)
docker_push(full_image, specific_tag)
if _release_build():
latest_tag = get_new_tag(full_arch_tag, "latest")
# Tag and push rayproject/<image>:latest<arch_tag>
DOCKER_CLIENT.api.tag(
image=f"{full_image}:{full_arch_tag}",
repository=full_image,
tag=latest_tag)
docker_push(full_image, latest_tag)
# Build base-deps/ray-deps only on file change, 2 weeks, per release
# Build ray, ray-ml, autoscaler every time
if __name__ == "__main__":
print("RUNNING WITH: ", sys.version)
if os.environ.get("TRAVIS") == "true":
is_docker_affected = _docker_affected()
if _merge_build() or is_docker_affected:
DOCKER_CLIENT = docker.from_env()
copy_wheels()
freshly_built = build_or_pull_base_images(is_docker_affected)
build_ray()
build_ray_ml()
push_and_tag_images(freshly_built)
+2 -5
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@@ -36,7 +36,7 @@ build_and_push_tags() {
build_or_pull_base_images() {
docker pull rayproject/base-deps:nightly
TAG=$(date +%F_%H-00)
TAG=$(date +%F)
age=$(docker inspect -f '{{ .Created }}' rayproject/base-deps:nightly)
# Build if older than 2 weeks, files have been edited in this PR OR branch release
@@ -94,15 +94,12 @@ if [[ "$TRAVIS" == "true" ]]; then
docker_push "rayproject/autoscaler:nightly$GPU"
docker_push "rayproject/autoscaler:$commit_sha$GPU"
done
docker_push rayproject/autoscaler:nightly
docker_push rayproject/autoscaler:"$commit_sha"
# We have a branch build, e.g. release/v0.7.0
if [[ "$TRAVIS_BRANCH" != "master" ]]; then
# Replace / in branch name to - so it is legal tag name
normalized_branch_name=$(echo "$TRAVIS_BRANCH" | sed -e "s/\//-/")
normalized_branch_name=$(echo "$TRAVIS_BRANCH" | cut -d "/" -f2)
# TODO(ilr) Remove autoscaler in the future
for IMAGE in "base-deps" "ray-deps" "ray" "ray-ml" "autoscaler"
do
+2 -2
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@@ -106,9 +106,9 @@ if __name__ == "__main__":
RAY_CI_MACOS_WHEELS_AFFECTED = 1
RAY_CI_STREAMING_PYTHON_AFFECTED = 1
RAY_CI_DOC_AFFECTED = 1
if changed_file.startswith("python/setup.py"):
if changed_file.startswith("python/setup.py") or re.match(
"requirements.*\.txt", changed_file):
RAY_CI_PYTHON_DEPENDENCIES_AFFECTED = 1
RAY_CI_LINUX_WHEELS_AFFECTED = 1
elif changed_file.startswith("java/"):
RAY_CI_JAVA_AFFECTED = 1
RAY_CI_STREAMING_JAVA_AFFECTED = 1
+17
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@@ -0,0 +1,17 @@
Overview of how the ray images are built:
Images without a "-cpu" or "-gpu" tag are built on ``ubuntu/focal``. They are just an alias for **-cpu** (e.g. ``ray:latest`` is the same as ``ray:latest-cpu``).
```
ubuntu/focal
└── base-deps:cpu
└── ray-deps:cpu
└── ray:cpu
└── ray-ml:cpu
nvidia/cuda
└── base-deps:gpu
└── ray-deps:gpu
└── ray:gpu
└── ray-ml:gpu
```
+1 -1
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@@ -1,6 +1,6 @@
# The base-deps Docker image installs main libraries needed to run Ray
# The GPU option is nvidia/cuda:11.0-cudnn8-runtime-ubuntu18.04
# The GPU option is nvidia/cuda:10.1-cudnn8-runtime-ubuntu18.04
ARG BASE_IMAGE="ubuntu:focal"
FROM ${BASE_IMAGE}
# If this arg is not "autoscaler" then no autoscaler requirements will be included
+1 -1
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@@ -1,5 +1,5 @@
ARG GPU=""
FROM rayproject/base-deps:latest"$GPU"
FROM rayproject/base-deps:nightly"$GPU"
# If this arg is not "autoscaler" then no autoscaler requirements will be included
ARG AUTOSCALER="autoscaler"
ARG WHEEL_PATH
+1 -1
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@@ -1,5 +1,5 @@
ARG GPU
FROM rayproject/ray:latest"$GPU"
FROM rayproject/ray:nightly"$GPU"
# We have to uninstall wrapt this way for Tensorflow compatibility
COPY requirements.txt ./
+1 -1
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@@ -1,5 +1,5 @@
ARG GPU
FROM rayproject/ray-deps:latest"$GPU"
FROM rayproject/ray-deps:nightly"$GPU"
ARG WHEEL_PATH
# For Click
ENV LC_ALL=C.UTF-8