class WMStatsReader():
def __init__(self, couchURL, dbName = None):
couchURL = sanitizeURL(couchURL)['url']
# set the connection for local couchDB call
if dbName:
self.couchURL = couchURL
self.dbName = dbName
else:
self.couchURL, self.dbName = splitCouchServiceURL(couchURL)
self.couchServer = CouchServer(self.couchURL)
self.couchDB = CouchServer(self.couchURL).connectDatabase(self.dbName, False)
def workflowsByStatus(self, statusList, format = "list", stale = "update_after"):
keys = statusList
options = {}
if stale:
options = {"stale": stale}
result = self.couchDB.loadView("WMStats", "requestByStatus", options, keys)
if format == "dict":
workflowDict = {}
for item in result["rows"]:
workflowDict[item["id"]] = None
return workflowDict
else:
workflowList = []
for item in result["rows"]:
workflowList.append(item["id"])
return workflowList
def workflowStatus(self, stale = "update_after"):
"""
_workflowStatus_
Return a dictionary with all available workflows,
grouped by status and with the timestamp of the status
"""
options = {}
if stale:
options = {"stale" : stale}
result = self.couchDB.loadView("WMStats", "requestByStatus", options)
stateDict = {}
for item in result['rows']:
if item["key"] not in stateDict:
stateDict[item["key"]] = {}
stateDict[item["key"]][item["id"]] = item["value"]
return stateDict
def getDBInstance(self):
return self.couchDB
def getHeartbeat(self):
try:
return self.couchDB.info();
except Exception, ex:
return {'error_message': str(ex)}
class LocalCouchDBData():
def __init__(self, couchURL, summaryLevel):
# set the connection for local couchDB call
self.couchURL = couchURL
self.couchURLBase, self.dbName = splitCouchServiceURL(couchURL)
self.jobCouchDB = CouchServer(self.couchURLBase).connectDatabase(self.dbName + "/jobs", False)
self.fwjrsCouchDB = CouchServer(self.couchURLBase).connectDatabase(self.dbName + "/fwjrs", False)
self.summaryLevel = summaryLevel
def getJobSummaryByWorkflowAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "queued_first", "siteA"],"value":100},
{"key":['request_name1", 'task_name1', "queued_first", "siteB"],"value":100},
{"key":['request_name1", 'task_name2', "running", "siteA"],"value":100},
{"key":['request_name1", 'task_name2', "success", "siteB"],"value":100}\
]}
and convert to
{'request_name1': {'queue_first': { 'siteA': 100}}
'request_name1': {'queue_first': { 'siteB': 100}}
}
if taskflag is set,
convert to
{'request_name1': {'tasks': {'task_name1 : {'queue_first': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name1 : {'queue_first': { 'siteB': 100}}}},
'request_name1': {'tasks':{'task_name2 : {'running': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name2 : {'success': { 'siteB': 100}}}},
}
"""
options = {"group": True, "stale": "ok"}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.jobCouchDB.loadView("JobDump", "jobStatusByWorkflowAndSite",
options)
# reformat the doc to upload to reqmon db
data = {}
if self.summaryLevel == "task":
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]][x['key'][3]] = x['value']
else:
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault(x['key'][2], {})
#data[x['key'][0]][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]][x['key'][2]][x['key'][3]] = x['value']
logging.info("Found %i requests" % len(data))
return data
def getJobPerformanceByTaskAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "siteA"],
"value": {wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}},
{"key":['request_name1", 'task_name2', "siteA"],
"value":{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}}}
]}
and convert to
{'request_name1': {'tasks':
{'task_name1' : { 'siteA':
{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}},
{'task_name2' : { 'siteA':
{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402,
totalLumis: 100},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}
}}
}
"""
options = {"group": True, "stale": "ok", "reduce":True}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.fwjrsCouchDB.loadView("FWJRDump", "performanceSummaryByTask",
options)
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault('sites', {})
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]] = x['value']
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]].setdefault('dataset', {})
if x['key'][3]:
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]]['dataset'][x['key'][3]] = x['value']['datasetStat']
#there is duplicate datasets in data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]], just ignore
return data
def getEventSummaryByWorkflow(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", "/test/output_dataset1"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"}},
{"key":['request_name1", "/test/output_dataset2"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}},
{"key":['request_name1", "/test/output_dataset3"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset3"}},
{"key":['request_name1", "/test/output_dataset4"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset4"}},
]}
and convert to
{'request_name1': {'size_event': [{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"},
{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}]}
'request_name2': ...
"""
options = {"group": True, "stale": "ok", "reduce":True}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.fwjrsCouchDB.loadView("FWJRDump", "outputByWorkflowName",
options)
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], [])
data[x['key'][0]].append(x['value'])
logging.info("Found %i requests" % len(data))
return data
def getHeartbeat(self):
try:
return self.jobCouchDB.info();
except Exception, ex:
return {'error_message': str(ex)}
class LocalCouchDBData(object):
def __init__(self, couchURL, statSummaryDB, summaryLevel):
# set the connection for local couchDB call
self.couchURL = couchURL
self.couchURLBase, self.dbName = splitCouchServiceURL(couchURL)
self.jobCouchDB = CouchServer(self.couchURLBase).connectDatabase(self.dbName + "/jobs", False)
fwjrDBname = "%s/fwjrs" % self.dbName
self.fwjrAPI = FWJRDBAPI(self.couchURLBase, fwjrDBname)
self.summaryStatsDB = CouchServer(self.couchURLBase).connectDatabase(statSummaryDB, False)
self.summaryLevel = summaryLevel
def getJobSummaryByWorkflowAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "queued_first", "siteA"],"value":100},
{"key":['request_name1", 'task_name1', "queued_first", "siteB"],"value":100},
{"key":['request_name1", 'task_name2', "running", "siteA"],"value":100},
{"key":['request_name1", 'task_name2', "success", "siteB"],"value":100}\
]}
and convert to
{'request_name1': {'queue_first': { 'siteA': 100}}
'request_name1': {'queue_first': { 'siteB': 100}}
}
if taskflag is set,
convert to
{'request_name1': {'tasks': {'task_name1 : {'queue_first': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name1 : {'queue_first': { 'siteB': 100}}}},
'request_name1': {'tasks':{'task_name2 : {'running': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name2 : {'success': { 'siteB': 100}}}},
}
"""
options = {"group": True, "stale": "ok"}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.jobCouchDB.loadView("JobDump", "jobStatusByWorkflowAndSite",
options)
# reformat the doc to upload to reqmon db
data = {}
if self.summaryLevel == "task":
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]][x['key'][3]] = x['value']
else:
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault(x['key'][2], {})
# data[x['key'][0]][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]][x['key'][2]][x['key'][3]] = x['value']
logging.info("Found %i requests", len(data))
return data
def getJobPerformanceByTaskAndSiteFromSummaryDB(self):
options = {"include_docs": True}
results = self.summaryStatsDB.allDocs(options)
data = {}
for row in results['rows']:
if not row['id'].startswith("_"):
data[row['id']] = {}
data[row['id']]['tasks'] = row['doc']['tasks']
return data
def getEventSummaryByWorkflow(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", "/test/output_dataset1"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"}},
{"key":['request_name1", "/test/output_dataset2"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}},
{"key":['request_name1", "/test/output_dataset3"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset3"}},
{"key":['request_name1", "/test/output_dataset4"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset4"}},
]}
and convert to
{'request_name1': {'size_event': [{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"},
{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}]}
'request_name2': ...
"""
results = self.fwjrAPI.outputByWorkflowName()
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], [])
data[x['key'][0]].append(x['value'])
logging.info("Found %i requests", len(data))
return data
def getHeartbeat(self):
try:
return self.jobCouchDB.info()
except Exception as ex:
return {'error_message': str(ex)}
def getSkippedFilesSummaryByWorkflow(self):
"""
get skipped file summary
gets the data with following format
{u'rows': [{u'value': {u'skippedFile': 5}, u'key':
["sryu_StepChain_MC_reqmgr2_170609_180852_5295", "/sryu_StepChain_MC_reqmgr2_170609_180852_5295/GENSIM/GENSIMMergeRAWSIMoutput", "T1_US_FNAL_Disk"]}]}
and covert to
{'sryu_TaskChain_Data_wq_testt_160204_061048_5587':
{'tasks': {'/sryu_TaskChain_Data_wq_testt_160204_061048_5587/RECOCOSD :
{'skippedFiles':2}}}}
"""
results = self.fwjrAPI.getFWJRWithSkippedFiles()
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]] = x['value']
data[x['key'][0]]['skipped'] = True
return data
class LocalCouchDBData(object):
def __init__(self, couchURL, statSummaryDB, summaryLevel):
# set the connection for local couchDB call
self.couchURL = couchURL
self.couchURLBase, self.dbName = splitCouchServiceURL(couchURL)
self.jobCouchDB = CouchServer(self.couchURLBase).connectDatabase(
self.dbName + "/jobs", False)
fwjrDBname = "%s/fwjrs" % self.dbName
self.fwjrAPI = FWJRDBAPI(self.couchURLBase, fwjrDBname)
self.summaryStatsDB = CouchServer(self.couchURLBase).connectDatabase(
statSummaryDB, False)
self.summaryLevel = summaryLevel
def getJobSummaryByWorkflowAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "queued_first", "siteA"],"value":100},
{"key":['request_name1", 'task_name1', "queued_first", "siteB"],"value":100},
{"key":['request_name1", 'task_name2', "running", "siteA"],"value":100},
{"key":['request_name1", 'task_name2', "success", "siteB"],"value":100}\
]}
and convert to
{'request_name1': {'queue_first': { 'siteA': 100}}
'request_name1': {'queue_first': { 'siteB': 100}}
}
if taskflag is set,
convert to
{'request_name1': {'tasks': {'task_name1 : {'queue_first': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name1 : {'queue_first': { 'siteB': 100}}}},
'request_name1': {'tasks':{'task_name2 : {'running': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name2 : {'success': { 'siteB': 100}}}},
}
"""
options = {"group": True, "stale": "ok"}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.jobCouchDB.loadView("JobDump",
"jobStatusByWorkflowAndSite",
options)
# reformat the doc to upload to reqmon db
data = {}
if self.summaryLevel == "task":
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault(
x['key'][2], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]][
x['key'][3]] = x['value']
else:
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault(x['key'][2], {})
# data[x['key'][0]][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]][x['key'][2]][x['key'][3]] = x['value']
logging.info("Found %i requests", len(data))
return data
def getJobPerformanceByTaskAndSiteFromSummaryDB(self):
options = {"include_docs": True}
results = self.summaryStatsDB.allDocs(options)
data = {}
for row in results['rows']:
if not row['id'].startswith("_"):
data[row['id']] = {}
data[row['id']]['tasks'] = row['doc']['tasks']
return data
def getEventSummaryByWorkflow(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", "/test/output_dataset1"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"}},
{"key":['request_name1", "/test/output_dataset2"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}},
{"key":['request_name1", "/test/output_dataset3"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset3"}},
{"key":['request_name1", "/test/output_dataset4"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset4"}},
]}
and convert to
{'request_name1': {'size_event': [{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"},
{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}]}
'request_name2': ...
"""
results = self.fwjrAPI.outputByWorkflowName()
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], [])
data[x['key'][0]].append(x['value'])
logging.info("Found %i requests", len(data))
return data
def getHeartbeat(self):
try:
return self.jobCouchDB.info()
except Exception as ex:
return {'error_message': str(ex)}
def getSkippedFilesSummaryByWorkflow(self):
"""
get skipped file summary
gets the data with following format
{u'rows': [{u'value': {u'skippedFile': 5}, u'key':
["sryu_StepChain_MC_reqmgr2_170609_180852_5295", "/sryu_StepChain_MC_reqmgr2_170609_180852_5295/GENSIM/GENSIMMergeRAWSIMoutput", "T1_US_FNAL_Disk"]}]}
and covert to
{'sryu_TaskChain_Data_wq_testt_160204_061048_5587':
{'tasks': {'/sryu_TaskChain_Data_wq_testt_160204_061048_5587/RECOCOSD :
{'skippedFiles':2}}}}
"""
results = self.fwjrAPI.getFWJRWithSkippedFiles()
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]] = x['value']
data[x['key'][0]]['skipped'] = True
return data
class LocalCouchDBData():
def __init__(self, couchURL, summaryLevel):
# set the connection for local couchDB call
self.couchURL = couchURL
self.couchURLBase, self.dbName = splitCouchServiceURL(couchURL)
self.jobCouchDB = CouchServer(self.couchURLBase).connectDatabase(
self.dbName + "/jobs", False)
self.fwjrsCouchDB = CouchServer(self.couchURLBase).connectDatabase(
self.dbName + "/fwjrs", False)
self.summaryLevel = summaryLevel
def getJobSummaryByWorkflowAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "queued_first", "siteA"],"value":100},
{"key":['request_name1", 'task_name1', "queued_first", "siteB"],"value":100},
{"key":['request_name1", 'task_name2', "running", "siteA"],"value":100},
{"key":['request_name1", 'task_name2', "success", "siteB"],"value":100}\
]}
and convert to
{'request_name1': {'queue_first': { 'siteA': 100}}
'request_name1': {'queue_first': { 'siteB': 100}}
}
if taskflag is set,
convert to
{'request_name1': {'tasks': {'task_name1 : {'queue_first': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name1 : {'queue_first': { 'siteB': 100}}}},
'request_name1': {'tasks':{'task_name2 : {'running': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name2 : {'success': { 'siteB': 100}}}},
}
"""
options = {"group": True, "stale": "ok"}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.jobCouchDB.loadView("JobDump",
"jobStatusByWorkflowAndSite",
options)
# reformat the doc to upload to reqmon db
data = {}
if self.summaryLevel == "task":
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault(
x['key'][2], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]][
x['key'][3]] = x['value']
else:
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault(x['key'][2], {})
#data[x['key'][0]][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]][x['key'][2]][x['key'][3]] = x['value']
logging.info("Found %i requests" % len(data))
return data
def getJobPerformanceByTaskAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "siteA"],
"value": {wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}},
{"key":['request_name1", 'task_name2', "siteA"],
"value":{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}}}
]}
and convert to
{'request_name1': {'tasks':
{'task_name1' : { 'siteA':
{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}},
{'task_name2' : { 'siteA':
{wrappedTotalJobTime: 1612,
cmsRunCPUPerformance: {totalJobCPU: 20.132924000000003,
totalJobTime: 421.0489,
totalEventCPU: 4.064402,
totalLumis: 100},
inputEvents: 0,
dataset: {/TestLHE/TEST_Subscriptions_WMA-Test-v1/GEN:
{size: 5093504, events: 10000,
totalLumis: 100}}}
}}
}
"""
options = {"group": True, "stale": "ok", "reduce": True}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.fwjrsCouchDB.loadView("FWJRDump",
"performanceSummaryByTask",
options)
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault('sites', {})
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key']
[2]] = x['value']
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][
x['key'][2]].setdefault('dataset', {})
if x['key'][3]:
data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]][
'dataset'][x['key'][3]] = x['value']['datasetStat']
#there is duplicate datasets in data[x['key'][0]]['tasks'][x['key'][1]]['sites'][x['key'][2]], just ignore
return data
def getEventSummaryByWorkflow(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", "/test/output_dataset1"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"}},
{"key":['request_name1", "/test/output_dataset2"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}},
{"key":['request_name1", "/test/output_dataset3"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset3"}},
{"key":['request_name1", "/test/output_dataset4"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset4"}},
]}
and convert to
{'request_name1': {'size_event': [{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"},
{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}]}
'request_name2': ...
"""
options = {"group": True, "stale": "ok", "reduce": True}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.fwjrsCouchDB.loadView("FWJRDump",
"outputByWorkflowName", options)
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], [])
data[x['key'][0]].append(x['value'])
logging.info("Found %i requests" % len(data))
return data
def getHeartbeat(self):
try:
return self.jobCouchDB.info()
except Exception, ex:
return {'error_message': str(ex)}
class LocalCouchDBData():
def __init__(self, couchURL, statSummaryDB, summaryLevel):
# set the connection for local couchDB call
self.couchURL = couchURL
self.couchURLBase, self.dbName = splitCouchServiceURL(couchURL)
self.jobCouchDB = CouchServer(self.couchURLBase).connectDatabase(self.dbName + "/jobs", False)
self.fwjrsCouchDB = CouchServer(self.couchURLBase).connectDatabase(self.dbName + "/fwjrs", False)
#TODO: remove the hard coded name (wma_summarydb)
self.summaryStatsDB = CouchServer(self.couchURLBase).connectDatabase(statSummaryDB, False)
self.summaryLevel = summaryLevel
def getJobSummaryByWorkflowAndSite(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", 'task_name1', "queued_first", "siteA"],"value":100},
{"key":['request_name1", 'task_name1', "queued_first", "siteB"],"value":100},
{"key":['request_name1", 'task_name2', "running", "siteA"],"value":100},
{"key":['request_name1", 'task_name2', "success", "siteB"],"value":100}\
]}
and convert to
{'request_name1': {'queue_first': { 'siteA': 100}}
'request_name1': {'queue_first': { 'siteB': 100}}
}
if taskflag is set,
convert to
{'request_name1': {'tasks': {'task_name1 : {'queue_first': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name1 : {'queue_first': { 'siteB': 100}}}},
'request_name1': {'tasks':{'task_name2 : {'running': { 'siteA': 100}}}}
'request_name1': {'tasks':{'task_name2 : {'success': { 'siteB': 100}}}},
}
"""
options = {"group": True, "stale": "ok"}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.jobCouchDB.loadView("JobDump", "jobStatusByWorkflowAndSite",
options)
# reformat the doc to upload to reqmon db
data = {}
if self.summaryLevel == "task":
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault('tasks', {})
data[x['key'][0]]['tasks'].setdefault(x['key'][1], {})
data[x['key'][0]]['tasks'][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]]['tasks'][x['key'][1]][x['key'][2]][x['key'][3]] = x['value']
else:
for x in results.get('rows', []):
data.setdefault(x['key'][0], {})
data[x['key'][0]].setdefault(x['key'][2], {})
#data[x['key'][0]][x['key'][1]].setdefault(x['key'][2], {})
data[x['key'][0]][x['key'][2]][x['key'][3]] = x['value']
logging.info("Found %i requests" % len(data))
return data
def getJobPerformanceByTaskAndSiteFromSummaryDB(self):
options = {"include_docs": True}
results = self.summaryStatsDB.allDocs(options)
data = {}
for row in results['rows']:
if not row['id'].startswith("_"):
data[row['id']] = {}
data[row['id']]['tasks'] = row['doc']['tasks']
return data
def getEventSummaryByWorkflow(self):
"""
gets the job status information by workflow
example
{"rows":[
{"key":['request_name1", "/test/output_dataset1"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"}},
{"key":['request_name1", "/test/output_dataset2"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}},
{"key":['request_name1", "/test/output_dataset3"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset3"}},
{"key":['request_name1", "/test/output_dataset4"],
"value": {size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset4"}},
]}
and convert to
{'request_name1': {'size_event': [{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset1"},
{size: 20286644784714, events: 38938099, count: 6319,
dataset: "/test/output_dataset2"}]}
'request_name2': ...
"""
options = {"group": True, "stale": "ok", "reduce":True}
# site of data should be relatively small (~1M) for put in the memory
# If not, find a way to stream
results = self.fwjrsCouchDB.loadView("FWJRDump", "outputByWorkflowName",
options)
# reformat the doc to upload to reqmon db
data = {}
for x in results.get('rows', []):
data.setdefault(x['key'][0], [])
data[x['key'][0]].append(x['value'])
logging.info("Found %i requests" % len(data))
return data
def getHeartbeat(self):
try:
return self.jobCouchDB.info();
except Exception as ex:
return {'error_message': str(ex)}