def save_dates_from_task(task_name,
savefile='/home/apmechev/.prefactor_v3.0_CI.pkl',
**context):
task_data = get_task_instance(context, task_name)
prev_data = pickle.load(open(savefile, 'rb'))
merged_data = _merge_two_dicts(prev_data, task_data)
for key in task_data.keys():
merged_data[key]['saved_date'] = datetime.datetime.now()
save_dates(merged_data, savefile)
def get_staged_srms(self, context):
task_name = self.staging_task['name']
task_parent_dag = self.staging_task['parent_dag']
srm_xcom = get_task_instance(context, task_name, task_parent_dag)
srmfile = srm_xcom['srmfile']
logging.info("Srmfile is " + srmfile)
if srmfile == None:
raise RuntimeError("Could not get the srm list from the " +
str(self.staging_task) + " task")
return self.get_list_from_files(srmfile)
def execute(self, context):
"""
Executes the staging command from the list of srms requested.
"""
if isinstance(self.srmfile, dict):
task_name = self.srmfile['name']
task_parent_dag = self.srmfile['parent_dag']
sbx_xcom = get_task_instance(context, task_name, task_parent_dag)
self.srmfile = sbx_xcom[self.srmkey]
elif not os.path.isfile(self.srmfile) and not hasattr(
self.srms, '__iter__'):
self.srmfile = Variable.get(self.srmfile)
if not os.path.isfile(self.srmfile):
self.status = State.UPSTREAM_FAILED
raise AirflowException(
"Input srmfile doesn't exist and srm list not a list")
self.progress = {'Percent done': 0}
surl_list = srmlist.srmlist(
) #holds all the srms (both from file and list argument )
self.surl_list = self.build_srm_list(surl_list)
try:
self.stage_ID = stager_access.stage(list(self.surl_list))
except xmlrpclib.Fault:
sleep(60)
self.stage_ID = stager_access.stage(list(self.surl_list))
logging.info(
"Successfully sent staging command for " +
stager_access.get_progress()[str(self.stage_ID)]['File count'] +
" files.")
logging.info("StageID= " + str(self.stage_ID))
self.state = State.RUNNING
sleep(120)
try:
self.progress = stager_access.get_progress()[str(self.stage_ID)]
except:
pass
self.started = False
f = NamedTemporaryFile(delete=False)
for i in surl_list:
f.write(bytes(i, encoding='utf8'))
f.close()
if not f:
f.name = ""
while self.still_running():
sleep(120)
if self.state == State.SUCCESS:
return {'srmfile': str(f.name)}
self.state == State.FAILED
return {'srmfile': str(f.name)}
def modify_fields(self, context):
"""If the append_task exists, this moethod will add all key:value pairs
in its xcom to every token. This is used to for example take the results
of the calibration taks and name it 'CAL_RESULTS'"""
print(self.append_task)
append_xcom = get_task_instance(
context,
self.append_task['name'],
parent_dag=self.append_task['parent_dag'])
for k in append_xcom:
for token in self.token_list:
token[k] = append_xcom[k]
self.token_list.save()
def find_upload_file(self, context):
""" Checks whether the file exists (if fed a filename as a parameter)
Otherwise it looks for the xcom of the parset task and takes the
key of the dictionary that is named after self.upload_file.split('/')[-1]
(I.E. the filename) of that xcom. checks if it exists and returns it
"""
if not self.parset_task and os.path.exists(self.upload_file):
return self.upload_file # no parset_task, just get file parameter
parset_xcom = get_task_instance(context, self.parset_task,
self.parent_dag)
parset_filename = self.upload_file.split('/')[-1]
parset_file_loc = parset_xcom[parset_filename]
if os.path.exists(parset_file_loc):
return parset_file_loc
raise (Exception("Cannot find the parset file"))
def execute(self, context):
logging.info(self.srmkey)
if isinstance(self.srmfile, dict):
task_name = self.srmfile['name']
task_parent_dag = self.srmfile['parent_dag']
sbx_xcom = get_task_instance(context, task_name, task_parent_dag)
self.srmfile = sbx_xcom[self.srmkey]
return {
'staged': False,
'srmfile': str(self.srmfile)
} #I return false until gfal2 works on py3+
staging_statuses = state_all.main(self.srmfile, verbose=False)
logging.info(staging_statuses)
if state_all.percent_staged(staging_statuses) > self.threshold:
return {'staged': True, 'srmfile': str(self.srmfile)}
return {'staged': False, 'srmfile': str(self.srmfile)}
def execute(self, context):
"""
Execute the bash command in a temporary directory
which will be cleaned afterwards
"""
srms = self.get_staged_srms(context)
if not srms:
logging.warn("Could not get the list of staged srms!")
logging.info("the list of staged srms is {0}".format(srms))
pc = get_picas_credentials.picas_cred()
if self.pc_database:
pc.database = self.pc_database
if self.fields_task:
task_name = self.fields_task['name']
task_parent_dag = self.fields_task['parent_dag']
try:
app = get_task_instance(
context, task_name,
task_parent_dag)['sanitized_field_name']
except KeyError:
app = get_task_instance(context, task_name,
task_parent_dag)['field_name']
else:
app = srms.obsid
self.t_type = self.t_type + app
tok_settings = json.load(open(self.tok_config, 'rb'))
token_variables = tok_settings['Job']['variables']
client = CouchDB(pc.user,
pc.password,
url='https://picas-lofar.grid.surfsara.nl:6984',
connect=True)
self.db = client[pc.database]
pipe_type = token_variables['PIPELINE_STEP']
self.token_list = TokenList(database=self.db, token_type=self.t_type)
if self.files_per_token != 1:
d = slice_dicts(
srms.sbn_dict(pref=self.subband_prefix,
suff=self.subband_suffix), self.files_per_token)
else:
d = {}
for i in srms.sbn_dict(pref=self.subband_prefix,
suff=self.subband_suffix):
d[i[0]] = i[1]
for token_file in d:
logging.info("Token file is {}".format(token_file))
with NamedTemporaryFile(delete=False) as savefile:
for line in d[token_file]:
savefile.write("{}\n".format(line).encode('utf-8'))
# pref3_$FIELDNAME_$OBSID_$PIPELINE_SB$SBNUMBER
pipeline_step = pipe_type.split('_')[1]
# logging.info("Pipeline step is {}, type pipe_type is {}.".format(pipe_type, type(pipe_type)))
if 'cal' in pipe_type:
token_id = "{}_{}_{}".format(self.t_type, srms.obsid,
pipeline_step)
elif 'targ' in pipe_type:
token_id = "{}_{}_{}_SB{}".format(self.t_type, srms.obsid,
pipeline_step, token_file)
else:
token_id = "fields_$FIELDNAME_$OBSID_$PIPELINE: {}_{}_{}_{}_{}".format(
self.t_type, token_file, srms.obsid,
pipe_type.split('_')[1], time.time())
logging.info(token_id)
self.token_list.append(
self.build_token(token_id,
attachment={
'name': 'srm.txt',
'location': savefile.name
}))
self.token_list[-1]['STARTSB'] = token_file
os.remove(savefile.name)
self.token_list.add_token_views()
if self.append_task:
logging.info(self.append_task)
logging.info(context)
self.modify_fields(context)
for token in self.token_list:
token["OBSID"] = srms.obsid
token['RESULTS_DIR'] += "/" + str(srms.obsid)
token_variables['OBSID'] = srms.obsid
token_variables['RESULTS_DIR'] += "/" + str(srms.obsid)
# create result directory if not exist
create_gsiftp_directory(token_variables['RESULTS_DIR'])
logging.info('Token type is ' + self.t_type)
logging.info(
'Tokens are available at https://picas-lofar.grid.surfsara.nl:6984/_utils/database.html?'
+ pc.database + '/_design/' + self.t_type +
'/_view/overview_total')
logging.info("Token settings are :")
for i in token_variables.items():
logging.info(str(i))
logging.debug(srms)
self.token_list.save()
results = dict()
results['num_jobs'] = len(d.keys())
results['output_dir'] = token_variables['RESULTS_DIR']
logging.info("output directory is {}".format(results['output_dir']))
results['token_type'] = str(self.t_type)
results['view'] = pipe_type
results['OBSID'] = token_variables['OBSID']
results['token_ids'] = [i['_id'] for i in self.token_list]
return results
def exit_if_no_CI_tests(ci_dates_task, continue_task, exit_task, **context):
task_data = get_task_instance(context, 'CI_dates')
if task_data:
return continue_task
return exit_task