def test_closed_wrong(self):
data = SFDataFiles(FNAME_ALL)
ch = data[CH_1D_NAME]
for f in data.files:
f.file.close() # close only h5 file
f.close() # also create ClosedH5, which cannot read file info
check_channel_closed(self, ch)
def test_error(self):
with self.assertRaises(NoMatchingFileError):
SFDataFiles("does not exist")
modfname = sfdata.sfdatafiles.__file__
line = 56 #TODO this will break!
prefix = f"{modfname}:{line}: UserWarning: "
suffix = "\n print_skip_warning(exc, quoted_fn)"
broken_file = "fake_data/run_broken.SCALARS.h5"
msg = f"Skipping \"{broken_file}\" since it caused OSError: Unable to open file (file signature not found)"
msg = prefix + msg + suffix
with self.assertRaises(NoMatchingFileError), self.assertPrintsError(
msg):
SFDataFiles(broken_file)
msg = f"Skipping \"{broken_file}\" since it caused OSError: Unable to open file (file signature not found)"
with self.assertRaises(NoMatchingFileError), self.assertWarns(msg):
SFDataFiles(broken_file)
def test_to_dataframe_dtypes(self):
with SFDataFiles("fake_data/run_dtypes.SCALARS.h5") as data:
methods = (data.to_dataframe, data.to_dataframe_accumulate,
data.to_dataframe_fill)
for func in methods:
df_objects = func(as_nullable=False)
df_nullable = func(as_nullable=True)
for ch in df_objects:
dtype = df_objects[ch].dtype
self.assertEqual(dtype, object)
for ch in df_nullable:
ref = ch[0] # first char in channel names is type code
dtype = df_nullable[ch].dtype
self.assertEqual(dtype.kind, ref)
str_dtype = str(dtype).lower()
char_dtype = str_dtype[0]
self.assertEqual(char_dtype, ref)
def main():
import argparse
parser = argparse.ArgumentParser(
description="Print statistics for SwissFEL data files")
parser.add_argument("filenames",
type=str,
nargs="+",
help="names of files to read, accepts wildcards")
parser.add_argument(
"-c",
"--complete",
action="store_true",
help="also show channels that have the complete set of pulse IDs")
clargs = parser.parse_args()
from sfdata import SFDataFiles
with SFDataFiles(*clargs.filenames) as data:
data.print_stats(show_complete=clargs.complete)
def test_read_column_vector(self):
with SFDataFiles(FNAME_SCALARS) as data:
self.assertAllEqual(data[CH_1D_COL_NAME].data, CH_1D_COL_DATA)
def run(self, *args, **kwargs):
with SFDataFiles(FNAME_ALL) as data:
self.data = data
self.ch = data[CH_ND_NAME]
super().run(*args, **kwargs)
def test_names_file_vs_files(self):
with SFDataFile(FNAME_SCALARS) as data1, SFDataFiles(
FNAME_SCALARS) as data2:
self.assertEqual(data1.names, data2.names)
def run(self, *args, **kwargs):
with SFDataFiles(FNAME_ALL) as data:
self.data = data[
data.names] # subset with all names to convert to plain SFData
super().run(*args, **kwargs)
def test_closed_twice(self):
data = SFDataFiles(FNAME_ALL)
ch = data[CH_1D_NAME]
data.close()
data.close()
check_channel_closed(self, ch)
def test_closed1(self):
with SFDataFiles(FNAME_ALL) as data:
ch = data[CH_1D_NAME]
check_channel_closed(self, ch)
#!/usr/bin/env python3
from sfdata import SFDataFiles
with SFDataFiles("run_000041.BSREAD.h5") as data:
print(data)
print("#entries:", len(data))
# print(data.names)
ch = data["SLAAR11-LTIM01-EVR0:DUMMY_PV1_NBS"]
print(ch)
print(ch.pids)
print(ch.data)
subset = data["SLAAR11-LTIM01-EVR0:DUMMY_PV1_NBS", "SLAAR11-LTIM01-EVR0:DUMMY_PV2_NBS", "SAR-CVME-TIFALL5:EvtSet"]
print(subset)
df = subset.to_dataframe()
# print(df)
