Store metadata in each scan

This commit is contained in:
2021-02-08 15:52:54 +01:00
parent 20527e8d2b
commit b31c0b413c
5 changed files with 110 additions and 174 deletions

View File

@ -87,8 +87,8 @@ def create():
proposal_textinput.on_change("value", proposal_textinput_callback)
def _init_datatable():
scan_list = [s["idx"] for s in det_data["scan"]]
hkl = [f'{s["h"]} {s["k"]} {s["l"]}' for s in det_data["scan"]]
scan_list = [s["idx"] for s in det_data]
hkl = [f'{s["h"]} {s["k"]} {s["l"]}' for s in det_data]
scan_table_source.data.update(
scan=scan_list,
hkl=hkl,
@ -159,8 +159,8 @@ def create():
append_upload_button.on_change("value", append_upload_button_callback)
def _update_table():
num_of_peaks = [len(scan.get("peak_indexes", [])) for scan in det_data["scan"]]
fit_ok = [(1 if "fit" in scan else 0) for scan in det_data["scan"]]
num_of_peaks = [len(scan.get("peak_indexes", [])) for scan in det_data]
fit_ok = [(1 if "fit" in scan else 0) for scan in det_data]
scan_table_source.data.update(peaks=num_of_peaks, fit=fit_ok)
def _update_plot(scan):
@ -284,7 +284,7 @@ def create():
# skip unnecessary update caused by selection drop
return
_update_plot(det_data["scan"][scan_table_source.data["scan"][new[0]]])
_update_plot(det_data[scan_table_source.data["scan"][new[0]]])
scan_table_source = ColumnDataSource(dict(scan=[], hkl=[], peaks=[], fit=[], export=[]))
scan_table = DataTable(
@ -305,7 +305,7 @@ def create():
def _get_selected_scan():
selected_index = scan_table_source.selected.indices[0]
selected_scan_id = scan_table_source.data["scan"][selected_index]
return det_data["scan"][selected_scan_id]
return det_data[selected_scan_id]
def peak_pos_textinput_callback(_attr, _old, new):
if new is not None and not peak_pos_textinput_lock:
@ -446,7 +446,7 @@ def create():
def peakfind_all_button_callback():
peakfind_params = _get_peakfind_params()
for scan in det_data["scan"]:
for scan in det_data:
pyzebra.ccl_findpeaks(scan, **peakfind_params)
_update_table()
@ -478,7 +478,7 @@ def create():
def fit_all_button_callback():
fit_params = _get_fit_params()
for scan in det_data["scan"]:
for scan in det_data:
# fit_params are updated inplace within `fitccl`
pyzebra.fitccl(scan, **deepcopy(fit_params))
@ -514,8 +514,8 @@ def create():
export_data = deepcopy(det_data)
for s, export in zip(scan_table_source.data["scan"], scan_table_source.data["export"]):
if not export:
if "fit" in export_data["scan"][s]:
del export_data["scan"][s]["fit"]
if "fit" in export_data[s]:
del export_data[s]["fit"]
pyzebra.export_1D(
export_data,
@ -547,7 +547,7 @@ def create():
export_data = deepcopy(det_data)
for s, export in zip(scan_table_source.data["scan"], scan_table_source.data["export"]):
if not export:
del export_data["scan"][s]
del export_data[s]
pyzebra.export_1D(
export_data,