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Add bulk loading of files from afs in ccl_integrate

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This commit is contained in:
usov_i 2021-03-10 13:21:13 +01:00
parent 0e97f44cc7
commit 85c74c39f0
1 changed files with 35 additions and 26 deletions
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61
pyzebra/app/panel_ccl_integrate.py
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@ -77,9 +77,8 @@ def create():
if file.endswith((".ccl", ".dat")):
ccl_file_list.append((os.path.join(ccl_path, file), file))
file_select.options = ccl_file_list
file_select.value = ccl_file_list[0][0]
proposal_textinput = TextInput(title="Enter proposal number:", default_size=145)
proposal_textinput = TextInput(title="Proposal number:", default_size=145)
proposal_textinput.on_change("value", proposal_textinput_callback)
def _init_datatable():
@ -101,17 +100,23 @@ def create():
def ccl_file_select_callback(_attr, _old, _new):
pass
file_select = Select(title="Available .ccl/.dat files:")
file_select = MultiSelect(title="Available .ccl/.dat files:", default_size=200, height=250)
file_select.on_change("value", ccl_file_select_callback)
def file_open_button_callback():
nonlocal det_data
with open(file_select.value) as file:
_, ext = os.path.splitext(file_select.value)
det_data = pyzebra.parse_1D(file, ext)
pyzebra.normalize_dataset(det_data, monitor_spinner.value)
pyzebra.merge_duplicates(det_data)
det_data = []
for f_name in file_select.value:
with open(f_name) as file:
_, ext = os.path.splitext(f_name)
if det_data:
append_data = pyzebra.parse_1D(file, ext)
pyzebra.normalize_dataset(append_data, monitor_spinner.value)
pyzebra.merge_datasets(det_data, append_data)
else:
det_data = pyzebra.parse_1D(file, ext)
pyzebra.normalize_dataset(det_data, monitor_spinner.value)
pyzebra.merge_duplicates(det_data)
_init_datatable()
@ -119,12 +124,13 @@ def create():
file_open_button.on_click(file_open_button_callback)
def file_append_button_callback():
with open(file_select.value) as file:
_, ext = os.path.splitext(file_select.value)
append_data = pyzebra.parse_1D(file, ext)
for f_name in file_select.value:
with open(f_name) as file:
_, ext = os.path.splitext(f_name)
append_data = pyzebra.parse_1D(file, ext)
pyzebra.normalize_dataset(append_data, monitor_spinner.value)
pyzebra.merge_datasets(det_data, append_data)
pyzebra.normalize_dataset(append_data, monitor_spinner.value)
pyzebra.merge_datasets(det_data, append_data)
_init_datatable()
@ -143,7 +149,7 @@ def create():
_init_datatable()
upload_div = Div(text="or upload .ccl/.dat file:", margin=(5, 5, 0, 5))
upload_button = FileInput(accept=".ccl,.dat")
upload_button = FileInput(accept=".ccl,.dat", default_size=200)
upload_button.on_change("value", upload_button_callback)
def append_upload_button_callback(_attr, _old, new):
@ -158,7 +164,7 @@ def create():
_init_datatable()
append_upload_div = Div(text="append extra file:", margin=(5, 5, 0, 5))
append_upload_button = FileInput(accept=".ccl,.dat")
append_upload_button = FileInput(accept=".ccl,.dat", default_size=200)
append_upload_button.on_change("value", append_upload_button_callback)
def monitor_spinner_callback(_attr, old, new):
@ -269,6 +275,7 @@ def create():
TableColumn(field="export", title="Export", editor=CheckboxEditor(), width=50),
],
width=310, # +60 because of the index column
height=350,
fit_columns=False,
editable=True,
)
@ -498,25 +505,27 @@ def create():
scan_layout = column(
scan_table,
monitor_spinner,
row(column(Spacer(height=19), merge_button), merge_dest_select, merge_source_select),
)
import_layout = column(
proposal_textinput,
file_select,
row(file_open_button, file_append_button),
upload_div,
upload_button,
append_upload_div,
append_upload_button,
)
export_layout = column(
export_preview_textinput,
row(hkl_precision_select, column(Spacer(height=19), row(preview_button, save_button))),
)
tab_layout = column(
row(
proposal_textinput,
file_select,
column(Spacer(height=19), row(file_open_button, file_append_button)),
Spacer(width=100),
column(upload_div, upload_button),
column(append_upload_div, append_upload_button),
monitor_spinner,
),
row(scan_layout, plot, Spacer(width=30), export_layout),
row(import_layout, scan_layout, plot, Spacer(width=30), export_layout),
row(fitpeak_controls, fit_output_textinput),
)