def test_get_runs():
# Gets runs between run number 309000 and 310000
filter_run = {
'run_number': {
'and': [{
'>': 309000
}, {
'<': 310000
}]
},
}
runs = get_runs(filter=filter_run)
assert len(runs) > 0
# Gets runs that contain lumisections that classified DT as GOOD AND lumsiections that classified hcal as STANDBY
filter_run = {
'run_number': {
'and': [{
'>': 309000
}, {
'<': 310000
}]
},
'dt': 'GOOD'
# 'hcal': 'STANDBY'
}
runs = get_runs(filter=filter_run)
assert len(runs) > 0
def test_get_runs():
# Gets runs between run number 309000 and 310000
filter_run = {"run_number": {"and": [{">": 309000}, {"<": 310000}]}}
runs = get_runs(filter=filter_run)
assert len(runs) > 0
# Gets runs that contain lumisections that classified DT as GOOD AND lumsiections that classified hcal as STANDBY
filter_run = {
"run_number": {
"and": [{
">": 309000
}, {
"<": 310000
}]
},
"dt-dt": "GOOD"
# 'hcal': 'STANDBY'
}
runs = get_runs(filter=filter_run)
assert len(runs) > 0
runs = []
filter_run = {
"run_number": {
"and": [{
">": 309000
}, {
"<": 310000
}]
},
"tracker-strip": "GOOD",
}
runs = get_runs(filter=filter_run)
print(json.dumps(runs))
assert len(runs) > 0
def test_get_runs_not_compressed():
runs = get_runs(filter={
'run_number': {
'and': [{
'>': 309000
}, {
'<': 310000
}]
},
'dt': 'GOOD'
},
compress_attributes=False)
assert len(runs) > 0
def test_get_runs_not_compressed():
runs = get_runs(
filter={
"run_number": {
"and": [{
">": 309000
}, {
"<": 310000
}]
},
"dt-dt": "GOOD"
},
compress_attributes=False,
)
assert len(runs) > 0
def test_get_runs_with_ignore_filter():
filter_run = {
"run_number": {
"and": [{
">": 309000
}, {
"<": 310000
}]
},
"oms_attributes.hlt_key": {
"like": "%commissioning2018%"
},
"triplet_summary.dt-dt.GOOD": {
">": 0
},
}
runs = get_runs(filter=filter_run, ignore_filter_transformation=True)
assert len(runs) > 0
def get_runs_with_combined_filter():
runs = get_runs(
filter={
"run_number": {
"and": [{
">": 309000
}, {
"<": 310000
}]
# },
# 'hlt_key': {
# 'like': '%commissioning2018%'
# },
# 'significant': {
# '=': True
}
})
assert len(runs) > 0
def get_runs_with_combined_filter():
runs = get_runs(
filter={
'run_number': {
'and': [{
'>': 309000
}, {
'<': 310000
}]
# },
# 'hlt_key': {
# 'like': '%commissioning2018%'
# },
# 'significant': {
# '=': True
}
})
print(len(runs))
def test_get_runs_with_ignore_filter():
filter_run = {
'run_number': {
'and': [{
'>': 309000
}, {
'<': 310000
}]
},
'oms_attributes.hlt_key': {
'like': '%commissioning2018%'
},
'triplet_summary.dt_triplet.GOOD': {
'>': 0
}
}
runs = get_runs(filter=filter_run, ignore_filter_transformation=True)
assert len(runs) > 0
def test_get_or_run():
runs = get_runs(filter={'run_number': {'or': [328762]}})
def test_get_collisions18():
runs = get_runs(filter={"class": "Collisions18"})
assert len(runs) > 0