def test_find_events_smoke():
num = 50
rs, e_desc, data_keys = setup_syn()
all_data = syn_data(data_keys, num)
mdsc.bulk_insert_events(e_desc, all_data, validate=False)
mdsc.insert_run_stop(rs, ttime.time(), uid=str(uuid.uuid4()))
mdsc.clear_process_cache()
# make sure the uid works
next(mdsc.find_events(descriptor=e_desc))
mdsc.clear_process_cache()
descriptor, = mdsc.find_descriptors(uid=e_desc)
mdsc.clear_process_cache()
# make sure that searching by descriptor document works
next(mdsc.find_events(descriptor=descriptor))
def test_find_events_smoke():
num = 50
rs, e_desc, data_keys = setup_syn()
all_data = syn_data(data_keys, num)
mdsc.bulk_insert_events(e_desc, all_data, validate=False)
mdsc.insert_run_stop(rs, ttime.time(), uid=str(uuid.uuid4()))
mdsc.clear_process_cache()
# make sure the uid works
next(mdsc.find_events(descriptor=e_desc))
mdsc.clear_process_cache()
descriptor, = mdsc.find_descriptors(uid=e_desc)
mdsc.clear_process_cache()
# make sure that searching by descriptor document works
next(mdsc.find_events(descriptor=descriptor))
def export(headers, filename):
"""
Parameters
----------
headers : a Header or a list of Headers
objects retruned by the Data Broker
filename : string
path to a new or existing HDF5 file
"""
with h5py.File(filename) as f:
for header in headers:
assert isinstance(header, MutableMapping)
header = copy.deepcopy(header)
try:
descriptors = header.pop('event_descriptors')
except KeyError:
warnings.warn("Header with uid {header.uid} contains no "
"data.".format(header), UserWarning)
continue
top_group_name = repr(header).replace(' ', '_')[1:-1]
group = f.create_group(top_group_name)
_safe_attrs_assignment(group, header)
for i, descriptor in enumerate(descriptors):
desc_group = group.create_group('Event Stream {0}'.format(i))
data_keys = descriptor.pop('data_keys')
_safe_attrs_assignment(desc_group, descriptor)
events = list(find_events(descriptor=descriptor))
event_times = [e['time'] for e in events]
desc_group.create_dataset('event_times', event_times)
data_group = desc_group.create_group('data')
ts_group = desc_group.create_group('timestamps')
for key, value in data_keys.items():
timestamps = [e['timestamps'][key] for e in events]
ts_group.create_dataset(key, data=timestamps)
for event in events:
fill_event(event) # fill any external data, in place
data = [e['data'][key] for e in events]
dataset = data_group.create_dataset(key, data=data)
# Put contents of this data key (source, etc.)
# into an attribute on the associated data set.
value['data_broker_shape'] = value.pop('shape')
value['data_broker_dtype'] = value.pop('dtype')
print(value)
_safe_attrs_assignment(dataset, value)
def export(headers, filename):
"""
Parameters
----------
headers : a Header or a list of Headers
objects retruned by the Data Broker
filename : string
path to a new or existing HDF5 file
"""
with h5py.File(filename) as f:
for header in headers:
assert isinstance(header, MutableMapping)
header = copy.deepcopy(header)
try:
descriptors = header.pop('event_descriptors')
except KeyError:
warnings.warn(
"Header with uid {header.uid} contains no "
"data.".format(header), UserWarning)
continue
top_group_name = repr(header).replace(' ', '_')[1:-1]
group = f.create_group(top_group_name)
_safe_attrs_assignment(group, header)
for i, descriptor in enumerate(descriptors):
desc_group = group.create_group('Event_Stream_{0}'.format(i))
data_keys = descriptor.pop('data_keys')
_safe_attrs_assignment(desc_group, descriptor)
events = list(find_events(descriptor=descriptor))
event_times = [e['time'] for e in events]
desc_group.create_dataset('event_times', event_times)
data_group = desc_group.create_group('data')
ts_group = desc_group.create_group('timestamps')
[fill_event(e) for e in events]
for key, value in data_keys.items():
print('data key = %s' % key)
timestamps = [e['timestamps'][key] for e in events]
ts_group.create_dataset(key, data=timestamps)
data = [e['data'][key] for e in events]
dataset = data_group.create_dataset(key, data=data)
def export(headers, filename):
"""
Parameters
----------
headers : a Header or a list of Headers
objects retruned by the Data Broker
filename : string
path to a new or existing HDF5 file
"""
with h5py.File(filename) as f:
for header in headers:
assert isinstance(header, MutableMapping)
header = copy.deepcopy(header)
try:
descriptors = header.pop('event_descriptors')
except KeyError:
warnings.warn("Header with uid {header.uid} contains no "
"data.".format(header), UserWarning)
continue
top_group_name = repr(header).replace(' ', '_')[1:-1]
group = f.create_group(top_group_name)
_safe_attrs_assignment(group, header)
for i, descriptor in enumerate(descriptors):
desc_group = group.create_group('Event_Stream_{0}'.format(i))
data_keys = descriptor.pop('data_keys')
_safe_attrs_assignment(desc_group, descriptor)
events = list(find_events(descriptor=descriptor))
event_times = [e['time'] for e in events]
desc_group.create_dataset('event_times', event_times)
data_group = desc_group.create_group('data')
ts_group = desc_group.create_group('timestamps')
[fill_event(e) for e in events]
for key, value in data_keys.items():
print('data key = %s' % key)
timestamps = [e['timestamps'][key] for e in events]
ts_group.create_dataset(key, data=timestamps)
data = [e['data'][key] for e in events]
dataset = data_group.create_dataset(key, data=data)
def test_find_events_ValueError():
with pytest.raises(ValueError):
list(mdsc.find_events(event_descriptor='cat'))
def test_find_events_ValueError():
list(mdsc.find_events(event_descriptor='cat'))
