def test_read_write_cdash_ids(config, tmp_scope, tmpdir, mock_packages):
working_dir = tmpdir.join('working_dir')
mirror_dir = working_dir.join('mirror')
mirror_url = 'file://{0}'.format(mirror_dir.strpath)
mirror_cmd = spack_main.SpackCommand('mirror')
mirror_cmd('add', '--scope', tmp_scope, 'test_mirror', mirror_url)
mock_spec = spec.Spec('archive-files').concretized()
orig_cdashid = '42'
ci.write_cdashid_to_mirror(orig_cdashid, mock_spec, mirror_url)
# Now read it back
read_cdashid = ci.read_cdashid_from_mirror(mock_spec, mirror_url)
assert (str(read_cdashid) == orig_cdashid)
def ci_rebuild(args):
"""Check a single spec against the remote mirror, and rebuild it from
source if the mirror does not contain the full hash match of the spec
as computed locally. """
env = ev.get_env(args, 'ci rebuild', required=True)
# Make sure the environment is "gitlab-enabled", or else there's nothing
# to do.
yaml_root = ev.config_dict(env.yaml)
gitlab_ci = None
if 'gitlab-ci' in yaml_root:
gitlab_ci = yaml_root['gitlab-ci']
if not gitlab_ci:
tty.die('spack ci rebuild requires an env containing gitlab-ci cfg')
# Grab the environment variables we need. These either come from the
# pipeline generation step ("spack ci generate"), where they were written
# out as variables, or else provided by GitLab itself.
pipeline_artifacts_dir = get_env_var('SPACK_ARTIFACTS_ROOT')
job_log_dir = get_env_var('SPACK_JOB_LOG_DIR')
repro_dir = get_env_var('SPACK_JOB_REPRO_DIR')
local_mirror_dir = get_env_var('SPACK_LOCAL_MIRROR_DIR')
concrete_env_dir = get_env_var('SPACK_CONCRETE_ENV_DIR')
ci_pipeline_id = get_env_var('CI_PIPELINE_ID')
ci_job_name = get_env_var('CI_JOB_NAME')
signing_key = get_env_var('SPACK_SIGNING_KEY')
root_spec = get_env_var('SPACK_ROOT_SPEC')
job_spec_pkg_name = get_env_var('SPACK_JOB_SPEC_PKG_NAME')
compiler_action = get_env_var('SPACK_COMPILER_ACTION')
cdash_build_name = get_env_var('SPACK_CDASH_BUILD_NAME')
related_builds = get_env_var('SPACK_RELATED_BUILDS_CDASH')
spack_pipeline_type = get_env_var('SPACK_PIPELINE_TYPE')
pr_mirror_url = get_env_var('SPACK_PR_MIRROR_URL')
remote_mirror_url = get_env_var('SPACK_REMOTE_MIRROR_URL')
# Construct absolute paths relative to current $CI_PROJECT_DIR
ci_project_dir = get_env_var('CI_PROJECT_DIR')
pipeline_artifacts_dir = os.path.join(ci_project_dir,
pipeline_artifacts_dir)
job_log_dir = os.path.join(ci_project_dir, job_log_dir)
repro_dir = os.path.join(ci_project_dir, repro_dir)
local_mirror_dir = os.path.join(ci_project_dir, local_mirror_dir)
concrete_env_dir = os.path.join(ci_project_dir, concrete_env_dir)
# Debug print some of the key environment variables we should have received
tty.debug('pipeline_artifacts_dir = {0}'.format(pipeline_artifacts_dir))
tty.debug('root_spec = {0}'.format(root_spec))
tty.debug('remote_mirror_url = {0}'.format(remote_mirror_url))
tty.debug('job_spec_pkg_name = {0}'.format(job_spec_pkg_name))
tty.debug('compiler_action = {0}'.format(compiler_action))
# Query the environment manifest to find out whether we're reporting to a
# CDash instance, and if so, gather some information from the manifest to
# support that task.
enable_cdash = False
if 'cdash' in yaml_root:
enable_cdash = True
ci_cdash = yaml_root['cdash']
job_spec_buildgroup = ci_cdash['build-group']
cdash_base_url = ci_cdash['url']
cdash_project = ci_cdash['project']
proj_enc = urlencode({'project': cdash_project})
eq_idx = proj_enc.find('=') + 1
cdash_project_enc = proj_enc[eq_idx:]
cdash_site = ci_cdash['site']
tty.debug('cdash_base_url = {0}'.format(cdash_base_url))
tty.debug('cdash_project = {0}'.format(cdash_project))
tty.debug('cdash_project_enc = {0}'.format(cdash_project_enc))
tty.debug('cdash_build_name = {0}'.format(cdash_build_name))
tty.debug('cdash_site = {0}'.format(cdash_site))
tty.debug('related_builds = {0}'.format(related_builds))
tty.debug('job_spec_buildgroup = {0}'.format(job_spec_buildgroup))
# Is this a pipeline run on a spack PR or a merge to develop? It might
# be neither, e.g. a pipeline run on some environment repository.
spack_is_pr_pipeline = spack_pipeline_type == 'spack_pull_request'
spack_is_develop_pipeline = spack_pipeline_type == 'spack_protected_branch'
tty.debug('Pipeline type - PR: {0}, develop: {1}'.format(
spack_is_pr_pipeline, spack_is_develop_pipeline))
# Figure out what is our temporary storage mirror: Is it artifacts
# buildcache? Or temporary-storage-url-prefix? In some cases we need to
# force something or pipelines might not have a way to propagate build
# artifacts from upstream to downstream jobs.
pipeline_mirror_url = None
temp_storage_url_prefix = None
if 'temporary-storage-url-prefix' in gitlab_ci:
temp_storage_url_prefix = gitlab_ci['temporary-storage-url-prefix']
pipeline_mirror_url = url_util.join(temp_storage_url_prefix,
ci_pipeline_id)
enable_artifacts_mirror = False
if 'enable-artifacts-buildcache' in gitlab_ci:
enable_artifacts_mirror = gitlab_ci['enable-artifacts-buildcache']
if (enable_artifacts_mirror
or (spack_is_pr_pipeline and not enable_artifacts_mirror
and not temp_storage_url_prefix)):
# If you explicitly enabled the artifacts buildcache feature, or
# if this is a PR pipeline but you did not enable either of the
# per-pipeline temporary storage features, we force the use of
# artifacts buildcache. Otherwise jobs will not have binary
# dependencies from previous stages available since we do not
# allow pushing binaries to the remote mirror during PR pipelines.
enable_artifacts_mirror = True
pipeline_mirror_url = 'file://' + local_mirror_dir
mirror_msg = 'artifact buildcache enabled, mirror url: {0}'.format(
pipeline_mirror_url)
tty.debug(mirror_msg)
# Whatever form of root_spec we got, use it to get a map giving us concrete
# specs for this job and all of its dependencies.
spec_map = spack_ci.get_concrete_specs(env, root_spec, job_spec_pkg_name,
related_builds, compiler_action)
job_spec = spec_map[job_spec_pkg_name]
job_spec_yaml_file = '{0}.yaml'.format(job_spec_pkg_name)
job_spec_yaml_path = os.path.join(repro_dir, job_spec_yaml_file)
# To provide logs, cdash reports, etc for developer download/perusal,
# these things have to be put into artifacts. This means downstream
# jobs that "need" this job will get those artifacts too. So here we
# need to clean out the artifacts we may have got from upstream jobs.
cdash_report_dir = os.path.join(pipeline_artifacts_dir, 'cdash_report')
if os.path.exists(cdash_report_dir):
shutil.rmtree(cdash_report_dir)
if os.path.exists(job_log_dir):
shutil.rmtree(job_log_dir)
if os.path.exists(repro_dir):
shutil.rmtree(repro_dir)
# Now that we removed them if they existed, create the directories we
# need for storing artifacts. The cdash_report directory will be
# created internally if needed.
os.makedirs(job_log_dir)
os.makedirs(repro_dir)
# Copy the concrete environment files to the repro directory so we can
# expose them as artifacts and not conflict with the concrete environment
# files we got as artifacts from the upstream pipeline generation job.
# Try to cast a slightly wider net too, and hopefully get the generated
# pipeline yaml. If we miss it, the user will still be able to go to the
# pipeline generation job and get it from there.
target_dirs = [concrete_env_dir, pipeline_artifacts_dir]
for dir_to_list in target_dirs:
for file_name in os.listdir(dir_to_list):
src_file = os.path.join(dir_to_list, file_name)
if os.path.isfile(src_file):
dst_file = os.path.join(repro_dir, file_name)
shutil.copyfile(src_file, dst_file)
# If signing key was provided via "SPACK_SIGNING_KEY", then try to
# import it.
if signing_key:
spack_ci.import_signing_key(signing_key)
# Depending on the specifics of this job, we might need to turn on the
# "config:install_missing compilers" option (to build this job spec
# with a bootstrapped compiler), or possibly run "spack compiler find"
# (to build a bootstrap compiler or one of its deps in a
# compiler-agnostic way), or maybe do nothing at all (to build a spec
# using a compiler already installed on the target system).
spack_ci.configure_compilers(compiler_action)
# Write this job's spec yaml into the reproduction directory, and it will
# also be used in the generated "spack install" command to install the spec
tty.debug('job concrete spec path: {0}'.format(job_spec_yaml_path))
with open(job_spec_yaml_path, 'w') as fd:
fd.write(job_spec.to_yaml(hash=ht.build_hash))
# Write the concrete root spec yaml into the reproduction directory
root_spec_yaml_path = os.path.join(repro_dir, 'root.yaml')
with open(root_spec_yaml_path, 'w') as fd:
fd.write(spec_map['root'].to_yaml(hash=ht.build_hash))
# Write some other details to aid in reproduction into an artifact
repro_file = os.path.join(repro_dir, 'repro.json')
repro_details = {
'job_name': ci_job_name,
'job_spec_yaml': job_spec_yaml_file,
'root_spec_yaml': 'root.yaml',
'ci_project_dir': ci_project_dir
}
with open(repro_file, 'w') as fd:
fd.write(json.dumps(repro_details))
# Write information about spack into an artifact in the repro dir
spack_info = spack_ci.get_spack_info()
spack_info_file = os.path.join(repro_dir, 'spack_info.txt')
with open(spack_info_file, 'w') as fd:
fd.write('\n{0}\n'.format(spack_info))
# If we decided there should be a temporary storage mechanism, add that
# mirror now so it's used when we check for a full hash match already
# built for this spec.
if pipeline_mirror_url:
spack.mirror.add(spack_ci.TEMP_STORAGE_MIRROR_NAME,
pipeline_mirror_url, cfg.default_modify_scope())
cdash_build_id = None
cdash_build_stamp = None
# Check configured mirrors for a built spec with a matching full hash
matches = bindist.get_mirrors_for_spec(job_spec,
full_hash_match=True,
index_only=False)
if matches:
# Got a full hash match on at least one configured mirror. All
# matches represent the fully up-to-date spec, so should all be
# equivalent. If artifacts mirror is enabled, we just pick one
# of the matches and download the buildcache files from there to
# the artifacts, so they're available to be used by dependent
# jobs in subsequent stages.
tty.msg('No need to rebuild {0}, found full hash match at: '.format(
job_spec_pkg_name))
for match in matches:
tty.msg(' {0}'.format(match['mirror_url']))
if enable_artifacts_mirror:
matching_mirror = matches[0]['mirror_url']
build_cache_dir = os.path.join(local_mirror_dir, 'build_cache')
tty.debug('Getting {0} buildcache from {1}'.format(
job_spec_pkg_name, matching_mirror))
tty.debug('Downloading to {0}'.format(build_cache_dir))
buildcache.download_buildcache_files(job_spec, build_cache_dir,
False, matching_mirror)
# Now we are done and successful
sys.exit(0)
# No full hash match anywhere means we need to rebuild spec
# Start with spack arguments
install_args = [base_arg for base_arg in CI_REBUILD_INSTALL_BASE_ARGS]
config = cfg.get('config')
if not config['verify_ssl']:
install_args.append('-k')
install_args.extend([
'install',
'--keep-stage',
'--require-full-hash-match',
])
can_verify = spack_ci.can_verify_binaries()
verify_binaries = can_verify and spack_is_pr_pipeline is False
if not verify_binaries:
install_args.append('--no-check-signature')
# If CDash reporting is enabled, we first register this build with
# the specified CDash instance, then relate the build to those of
# its dependencies.
if enable_cdash:
tty.debug('CDash: Registering build')
(cdash_build_id, cdash_build_stamp) = spack_ci.register_cdash_build(
cdash_build_name, cdash_base_url, cdash_project, cdash_site,
job_spec_buildgroup)
if cdash_build_id is not None:
cdash_upload_url = '{0}/submit.php?project={1}'.format(
cdash_base_url, cdash_project_enc)
install_args.extend([
'--cdash-upload-url',
cdash_upload_url,
'--cdash-build',
cdash_build_name,
'--cdash-site',
cdash_site,
'--cdash-buildstamp',
cdash_build_stamp,
])
tty.debug('CDash: Relating build with dependency builds')
spack_ci.relate_cdash_builds(
spec_map, cdash_base_url, cdash_build_id, cdash_project,
[pipeline_mirror_url, pr_mirror_url, remote_mirror_url])
# A compiler action of 'FIND_ANY' means we are building a bootstrap
# compiler or one of its deps.
# TODO: when compilers are dependencies, we should include --no-add
if compiler_action != 'FIND_ANY':
install_args.append('--no-add')
# TODO: once we have the concrete spec registry, use the DAG hash
# to identify the spec to install, rather than the concrete spec
# yaml file.
install_args.extend(['-f', job_spec_yaml_path])
tty.debug('Installing {0} from source'.format(job_spec.name))
tty.debug('spack install arguments: {0}'.format(install_args))
# Write the install command to a shell script
with open('install.sh', 'w') as fd:
fd.write('#!/bin/bash\n\n')
fd.write('\n# spack install command\n')
fd.write(' '.join(['"{0}"'.format(i) for i in install_args]))
fd.write('\n')
st = os.stat('install.sh')
os.chmod('install.sh', st.st_mode | stat.S_IEXEC)
install_copy_path = os.path.join(repro_dir, 'install.sh')
shutil.copyfile('install.sh', install_copy_path)
# Run the generated install.sh shell script as if it were being run in
# a login shell.
try:
install_process = subprocess.Popen(['bash', '-l', './install.sh'])
install_process.wait()
install_exit_code = install_process.returncode
except (ValueError, subprocess.CalledProcessError, OSError) as inst:
tty.error('Encountered error running install script')
tty.error(inst)
# Now do the post-install tasks
tty.debug('spack install exited {0}'.format(install_exit_code))
# If a spec fails to build in a spack develop pipeline, we add it to a
# list of known broken full hashes. This allows spack PR pipelines to
# avoid wasting compute cycles attempting to build those hashes.
if install_exit_code == INSTALL_FAIL_CODE and spack_is_develop_pipeline:
tty.debug('Install failed on develop')
if 'broken-specs-url' in gitlab_ci:
broken_specs_url = gitlab_ci['broken-specs-url']
dev_fail_hash = job_spec.full_hash()
broken_spec_path = url_util.join(broken_specs_url, dev_fail_hash)
tty.msg('Reporting broken develop build as: {0}'.format(
broken_spec_path))
tmpdir = tempfile.mkdtemp()
empty_file_path = os.path.join(tmpdir, 'empty.txt')
broken_spec_details = {
'broken-spec': {
'job-url': get_env_var('CI_JOB_URL'),
'pipeline-url': get_env_var('CI_PIPELINE_URL'),
'concrete-spec-yaml': job_spec.to_dict(hash=ht.full_hash)
}
}
try:
with open(empty_file_path, 'w') as efd:
efd.write(syaml.dump(broken_spec_details))
web_util.push_to_url(empty_file_path,
broken_spec_path,
keep_original=False,
extra_args={'ContentType': 'text/plain'})
except Exception as err:
# If we got some kind of S3 (access denied or other connection
# error), the first non boto-specific class in the exception
# hierarchy is Exception. Just print a warning and return
msg = 'Error writing to broken specs list {0}: {1}'.format(
broken_spec_path, err)
tty.warn(msg)
finally:
shutil.rmtree(tmpdir)
# We generated the "spack install ..." command to "--keep-stage", copy
# any logs from the staging directory to artifacts now
spack_ci.copy_stage_logs_to_artifacts(job_spec, job_log_dir)
# Create buildcache on remote mirror, either on pr-specific mirror or
# on the main mirror defined in the gitlab-enabled spack environment
if spack_is_pr_pipeline:
buildcache_mirror_url = pr_mirror_url
else:
buildcache_mirror_url = remote_mirror_url
# If the install succeeded, create a buildcache entry for this job spec
# and push it to one or more mirrors. If the install did not succeed,
# print out some instructions on how to reproduce this build failure
# outside of the pipeline environment.
if install_exit_code == 0:
can_sign = spack_ci.can_sign_binaries()
sign_binaries = can_sign and spack_is_pr_pipeline is False
# Create buildcache in either the main remote mirror, or in the
# per-PR mirror, if this is a PR pipeline
if buildcache_mirror_url:
spack_ci.push_mirror_contents(env, job_spec, job_spec_yaml_path,
buildcache_mirror_url, sign_binaries)
if cdash_build_id:
tty.debug('Writing cdashid ({0}) to remote mirror: {1}'.format(
cdash_build_id, buildcache_mirror_url))
spack_ci.write_cdashid_to_mirror(cdash_build_id, job_spec,
buildcache_mirror_url)
# Create another copy of that buildcache in the per-pipeline
# temporary storage mirror (this is only done if either
# artifacts buildcache is enabled or a temporary storage url
# prefix is set)
if pipeline_mirror_url:
spack_ci.push_mirror_contents(env, job_spec, job_spec_yaml_path,
pipeline_mirror_url, sign_binaries)
if cdash_build_id:
tty.debug('Writing cdashid ({0}) to remote mirror: {1}'.format(
cdash_build_id, pipeline_mirror_url))
spack_ci.write_cdashid_to_mirror(cdash_build_id, job_spec,
pipeline_mirror_url)
# If this is a develop pipeline, check if the spec that we just built is
# on the broken-specs list. If so, remove it.
if spack_is_develop_pipeline and 'broken-specs-url' in gitlab_ci:
broken_specs_url = gitlab_ci['broken-specs-url']
just_built_hash = job_spec.full_hash()
broken_spec_path = url_util.join(broken_specs_url, just_built_hash)
if web_util.url_exists(broken_spec_path):
tty.msg('Removing {0} from the list of broken specs'.format(
broken_spec_path))
try:
web_util.remove_url(broken_spec_path)
except Exception as err:
# If we got some kind of S3 (access denied or other connection
# error), the first non boto-specific class in the exception
# hierarchy is Exception. Just print a warning and return
msg = 'Error removing {0} from broken specs list: {1}'.format(
broken_spec_path, err)
tty.warn(msg)
else:
tty.debug('spack install exited non-zero, will not create buildcache')
api_root_url = get_env_var('CI_API_V4_URL')
ci_project_id = get_env_var('CI_PROJECT_ID')
ci_job_id = get_env_var('CI_JOB_ID')
repro_job_url = '{0}/projects/{1}/jobs/{2}/artifacts'.format(
api_root_url, ci_project_id, ci_job_id)
# Control characters cause this to be printed in blue so it stands out
reproduce_msg = """
\033[34mTo reproduce this build locally, run:
spack ci reproduce-build {0} [--working-dir <dir>]
If this project does not have public pipelines, you will need to first:
export GITLAB_PRIVATE_TOKEN=<generated_token>
... then follow the printed instructions.\033[0;0m
""".format(repro_job_url)
print(reproduce_msg)
# Tie job success/failure to the success/failure of building the spec
return install_exit_code