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from buildbot.process.factory import BuildFactory
from buildbot.steps.shell import ShellCommand
from buildbot.plugins import util
from buildbot.plugins import steps
Property = util.Property
Git = steps.Git
class GitSource:
def __init__(self,urls,ref,sha=""):
''' Specify a source by a url and a ref. Optionally a SHA '''
self.url = url
self.ref = ref
self.sha = sha
class Step:
def __init__(self,name,trigger,properties,timeout=1200,get_definitions=False):
self.name = name
self.trigger = trigger
self.properties = properties
Build = Step(
name = 'Build',
trigger = 'builder_trigger.sh',
properties = [
("ref","cu010-trove/br6/firehose-test-1"),
("sha","HEAD"),
("system",'genivi-demo-platform-x86_64-generic.morph')],
timeout = 7200,
get_definitions = True)
Deploy = Step(
name = 'Deploy',
trigger = 'deploy_trigger.sh',
properties = [
('system','no system give'),
('buildnumber',0),
('buildslave_scripts_sha','no buildslave-scripts SHA given'),
('definitions_sha','no definitions SHA given'),
('testing_sha','no testing SHA given')],
timeout = 1800,
get_definitions = True)
Test = Step(
name = 'Test',
trigger = 'testing_trigger.sh',
properties = [
('artefact','no artefact given'),
('testing_sha','no testing SHA given'),
('buildslave_scripts_sha','no buildslave-scripts SHA given'),
('definitions_sha','no definitions SHA given')])
Publish = Step(
name = 'Publish',
trigger = 'publish_trigger.sh',
properties = [
('artefact','no artefact given'),
('testing_sha','no testing SHA given'),
('buildslave_scripts_sha','no buildslave-scripts SHA given'),
('definitions_sha','no definitions SHA given')])
class Column:
def add_get_definitions(self,ref):
''' add a step fetch definitions '''
ref = Property("ref",default=ref)
get_defns_cmd = ['sh','get_definitions.sh',ref]
shell_cmd = ShellCommand(command=get_defns_cmd,
timeout=self.timeout)
self.factory.addStep(shell_cmd)
def format_cmd(self):
''' a buildbot shell command to pass the properties to trigger '''
util_properties = []
for property in self.properties:
name = property[0]
default_str = property[1]
util_property = Property(name,default=default_str)
util_properties.append(util_property)
cmd = ['sh',self.trigger]+util_properties
return ShellCommand(command=cmd,
timeout=self.timeout)
def __init__(self,
name,
source_repo,
category,
trigger,
slavenames,
properties,
timeout=1200,
get_definitions=False):
''' A worker in CIAT Orchestration which appears as a column in the
buildbot waterfall. get_definitions is either False or a ref '''
self.name = name
assert isinstance(source_repo,GitSource)
self.source_repo = source_repo
self.category = category
self.trigger = 'triggers/%s' % trigger
self.slavenames = slavenames
self.properties = properties
self.timeout = timeout
self.get_definitions = get_definitions
self.factory = BuildFactory()
self.factory.addStep(Git(
repourl=self.source_repo.url,
branch=self.source_repo.ref
mode='incremental'))
if self.get_definitions:
self.add_get_definitions(get_definitions)
self.cmd = self.format_cmd()
self.factory.addStep(self.cmd)
class Pipeline:
def get_slaves(self,slave_type):
''' this returns a list of slaves given a slave-type '''
#TODO this needs doing properly
if slave_type['arch'] == 'x86_64':
return 'local-slave'
elif slave_type['arch'] == 'arm':
return 'arm-slave'
def __init__(self,
name,
candidate_refs,
slave_type,
clusters,
steps=[Build]):
self.name = name
self.candidate_refs = candidate_refs
self.slavenames = get_slaves(slave_type)
self.clusters = clusters
self.steps = steps
self.categories = []
self.columns = []
for step in steps:
column_name = "%s %s" % (self.name, step.name)
category = column_name
self.categories.append(category)
self.columns.append(Column(
name = build_column_name,
source_repo = BUILD_SLAVE_SCRIPTS,
category = category,
trigger = step.trigger,
slavenames = self.slavenames,
properties = step.properties,
timeout = step.timeout,
get_definitions = step.get_definitions))
def pipeline_from_dict(_dict):
''' given a dict of a pipeline return an object '''
name = _dict['name']
candidate_refs = _dict['candidate_refs']
slave_type = _dict['slave-type']
clusters = _dict['clusters']
return Pipeline(name,candidate_refs,slave_type,clusters)
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