def test_job_sample_data(self):
for job in self.job_data:
tj = TreeherderJob()
tj.add_revision_hash( job['revision_hash'] )
tj.add_project( job['project'] )
tj.add_coalesced_guid( job['coalesced'] )
tj.add_job_guid( job['job']['job_guid'] )
tj.add_job_name( job['job']['name'] )
tj.add_job_symbol( job['job']['job_symbol'] )
tj.add_group_name( job['job']['group_name'] )
tj.add_group_symbol( job['job']['group_symbol'] )
tj.add_description( job['job']['desc'] )
tj.add_product_name( job['job']['product_name'] )
tj.add_state( job['job']['state'] )
tj.add_result( job['job']['result'] )
tj.add_reason( job['job']['reason'] )
tj.add_who( job['job']['who'] )
tj.add_submit_timestamp( job['job']['submit_timestamp'] )
tj.add_start_timestamp( job['job']['start_timestamp'] )
tj.add_end_timestamp( job['job']['end_timestamp'] )
tj.add_machine( job['job']['machine'] )
tj.add_build_url( job['job']['build_url'] )
tj.add_build_info(
job['job']['build_platform']['os_name'],
job['job']['build_platform']['platform'],
job['job']['build_platform']['architecture']
)
tj.add_machine_info(
job['job']['machine_platform']['os_name'],
job['job']['machine_platform']['platform'],
job['job']['machine_platform']['architecture']
)
tj.add_option_collection( job['job']['option_collection'] )
tj.add_log_reference(
'builds-4h', job['job']['log_references'][0]['url'] )
# if the blob is empty, TreeherderJob will ignore the insertion
job['job']['artifacts'][0]['blob'] = "some value"
tj.add_artifact(
job['job']['artifacts'][0]['name'],
job['job']['artifacts'][0]['type'],
job['job']['artifacts'][0]['blob'])
self.compare_structs(tj.data, job)
# Confirm we get the same dict if we initialize from
# a job dict
tj_dict = TreeherderJob(job)
self.compare_structs(tj.data, tj_dict.data)
def test_job_sample_data(self):
for job in self.job_data:
tj = TreeherderJob()
tj.add_revision_hash(job['revision_hash'])
tj.add_project(job['project'])
tj.add_coalesced_guid(job['coalesced'])
tj.add_job_guid(job['job']['job_guid'])
tj.add_job_name(job['job']['name'])
tj.add_job_symbol(job['job']['job_symbol'])
tj.add_group_name(job['job']['group_name'])
tj.add_group_symbol(job['job']['group_symbol'])
tj.add_description(job['job']['desc'])
tj.add_product_name(job['job']['product_name'])
tj.add_state(job['job']['state'])
tj.add_result(job['job']['result'])
tj.add_reason(job['job']['reason'])
tj.add_who(job['job']['who'])
tj.add_submit_timestamp(job['job']['submit_timestamp'])
tj.add_start_timestamp(job['job']['start_timestamp'])
tj.add_end_timestamp(job['job']['end_timestamp'])
tj.add_machine(job['job']['machine'])
tj.add_build_url(job['job']['build_url'])
tj.add_build_info(job['job']['build_platform']['os_name'],
job['job']['build_platform']['platform'],
job['job']['build_platform']['architecture'])
tj.add_machine_info(job['job']['machine_platform']['os_name'],
job['job']['machine_platform']['platform'],
job['job']['machine_platform']['architecture'])
tj.add_option_collection(job['job']['option_collection'])
tj.add_log_reference('builds-4h',
job['job']['log_references'][0]['url'])
# if the blob is empty, TreeherderJob will ignore the insertion
job['job']['artifacts'][0]['blob'] = "some value"
tj.add_artifact(job['job']['artifacts'][0]['name'],
job['job']['artifacts'][0]['type'],
job['job']['artifacts'][0]['blob'])
self.compare_structs(tj.data, job)
# Confirm we get the same dict if we initialize from
# a job dict
tj_dict = TreeherderJob(job)
self.compare_structs(tj.data, tj_dict.data)
def create_treeherder_job(repo, revision, client, nodes):
"""
Creates a treeherder job for the given set of data.
:param repo: The repository this build came from.
:param revision: The mercurial revision of the build.
:param client: The TreeherderClient to use.
:param nodes: The dataset for this build.
"""
rev_hash = client.get_resultsets(repo, revision=revision)[0]['revision_hash']
tj = TreeherderJob()
tj.add_tier(2)
tj.add_revision_hash(rev_hash)
tj.add_project(repo)
tj.add_job_guid(str(uuid.uuid4()))
tj.add_job_name('awsy 1')
tj.add_job_symbol('a1')
tj.add_group_name('awsy')
tj.add_group_symbol('AWSY')
tj.add_product_name('firefox')
tj.add_state('completed')
tj.add_result('success')
submit_timestamp = int(time.time())
tj.add_submit_timestamp(submit_timestamp)
tj.add_start_timestamp(submit_timestamp)
tj.add_end_timestamp(submit_timestamp)
tj.add_machine(socket.getfqdn())
tj.add_build_info('linux', 'linux64', 'x86_64')
tj.add_machine_info('linux', 'linux64', 'x86_64')
tj.add_option_collection({'opt': True})
perf_blob = create_perf_data(nodes)
tj.add_artifact('performance_data', 'json', json.dumps({ 'performance_data': perf_blob }))
return tj
def create_treeherder_job(repo, revision, client, nodes, s3=None):
"""
Creates a treeherder job for the given set of data.
:param repo: The repository this build came from.
:param revision: The mercurial revision of the build.
:param client: The TreeherderClient to use.
:param nodes: The dataset for this build.
:param s3: Optional Amazon S3 bucket to upload logs to.
"""
tj = TreeherderJob()
tj.add_tier(2)
tj.add_revision(revision)
tj.add_project(repo)
tj.add_job_name('awsy 1')
tj.add_job_symbol('a1')
tj.add_group_name('awsy')
tj.add_group_symbol('AWSY')
tj.add_product_name('firefox')
tj.add_state('completed')
tj.add_result('success')
submit_timestamp = int(time.time())
tj.add_submit_timestamp(submit_timestamp)
tj.add_start_timestamp(submit_timestamp)
tj.add_end_timestamp(submit_timestamp)
tj.add_machine(socket.getfqdn())
tj.add_build_info('linux', 'linux64', 'x86_64')
tj.add_machine_info('linux', 'linux64', 'x86_64')
tj.add_option_collection({'opt': True})
perf_blob = create_perf_data(nodes)
perf_data = json.dumps({ 'performance_data': perf_blob })
# Set the job guid to a combination of the revision and the job data. This
# gives us a reasonably unique guid, but is also reproducible for the same
# set of data.
job_guid = hashlib.sha1(revision + perf_data)
tj.add_job_guid(job_guid.hexdigest())
# NB: The job guid must be set prior to adding artifacts.
tj.add_artifact('performance_data', 'json', perf_data)
# If an S3 connection is provided the logs for this revision are uploaded.
# Addtionally a 'Job Info' blob is built up with links to the logs that
# will be displayed in the 'Job details' pane in treeherder.
if s3:
job_details = []
# To avoid overwriting existing data (perhaps if a job is retriggered)
# the job guid is included in the key.
log_prefix = "%s/%s/%s" % (repo, revision, job_guid.hexdigest())
# Add the test log.
log_id = '%s/%s' % (log_prefix, 'awsy_test_raw.log')
job_detail = upload_artifact(s3, 'logs/%s.test.log' % revision,
log_id, 'awsy_test.log')
if 'url' in job_detail:
# The test log is the main log and will be linked to the log
# viewer and raw log icons in treeherder.
tj.add_log_reference('test.log', job_detail['url'])
job_details.append(job_detail)
# Add the gecko log.
log_id = '%s/%s' % (log_prefix, 'gecko.log')
job_detail = upload_artifact(s3, "logs/%s.gecko.log" % revision,
log_id, 'gecko.log')
job_details.append(job_detail)
tj.add_artifact('Job Info', 'json', { 'job_details': job_details })
return tj