Feature batch upload

src/deeranalysis/app.py

@@ -11,7 +11,7 @@
 from deeranalysis.components.setup_modal_desktop import create_setup_modal, get_DeerAnalysis_directory
 from deeranalysis.components.new_version_modal import new_version_modal, update_button
 from deeranalysis.components.dmc_theme import da_dmctheme
-from deeranalysis.utils.logs_plugin import initialize_logs_api,check_logs_api_key
+from deeranalysis.utils.logs_plugin import initialize_logs_api
 from deeranalysis.utils.database import get_appearance_settings
 from deeranalysis.utils.deerlab_options import resolve_plot_template
 
@@ -80,7 +80,6 @@ def create_nav_link(label, href, icon):
     [
         dmc.Text("Datasets", size="sm", c="dimmed", fw=500),
         create_nav_link("File Import", "/upload", "mdi:upload"),
-        *( [create_nav_link("Logs Import", "/logs_upload", "mdi:file-document-outline")] if check_logs_api_key() else [] ),
         create_nav_link("Datasets", "/", "mdi:database"),
         create_nav_link("Comparison", "/comparison", "mdi:compare"),
 

src/deeranalysis/components/dataset_form.py

@@ -72,13 +72,9 @@ def update_delays(_, delays_row_data, dataset_store):
 # ---------------------------------------------------------------------------
 # Store / experiment type change → check tmin plausibility
 # ---------------------------------------------------------------------------
-@callback(
-    Output({'type': 'tmin-warning-div', 'page': MATCH}, 'children'),
-    Input({'type': 'dataset-store', 'page': MATCH}, 'data'),
-    Input({'type': 'experiment-type-dropdown', 'page': MATCH}, 'value'),
-    prevent_initial_call=True,
-)
-def check_tmin(store, exp_type):
+def check_tmin_warning(store, exp_type):
+    """Returns a warning message string if tmin looks wrong for the given
+    experiment type, or None if the delays/data are plausible."""
     if store is None:
         return None
     delays = store.get('delays', {})
@@ -98,29 +94,31 @@ def check_tmin(store, exp_type):
     threshold = 50 / 1e3
 
     if abs(peak_time - data_max_time) > threshold:
-        return dmc.Alert(
-            title="Warning: tmin may be incorrect",
-            children=(
-                f"The expected peak time based on delays is {peak_time * 1e3:.0f} ns, "
-                f"but the data maximum is at {data_max_time * 1e3:.0f} ns. "
-                "Please check that tmin is set correctly."
-            ),
-            color="yellow",
-            mb="md",
+        return (
+            f"The expected peak time based on delays is {peak_time * 1e3:.0f} ns, "
+            f"but the data maximum is at {data_max_time * 1e3:.0f} ns. "
+            "Please check that tmin is set correctly."
         )
     return None
 
 
+@callback(
+    Output({'type': 'tmin-warning-div', 'page': MATCH}, 'children'),
+    Input({'type': 'dataset-store', 'page': MATCH}, 'data'),
+    Input({'type': 'experiment-type-dropdown', 'page': MATCH}, 'value'),
+    prevent_initial_call=True,
+)
+def check_tmin(store, exp_type):
+    message = check_tmin_warning(store, exp_type)
+    if message:
+        return dmc.Alert(title="Warning: tmin may be incorrect", children=message, color="yellow", mb="md")
+    return None
+
+
 # ---------------------------------------------------------------------------
 # Populate project / sample autocomplete options from the database
 # ---------------------------------------------------------------------------
-@callback(
-    Output({'type': 'project-name', 'page': MATCH}, 'data'),
-    Output({'type': 'sample-name', 'page': MATCH}, 'data'),
-    Input({'type': 'project-name', 'page': MATCH}, 'n_clicks'),
-    prevent_initial_call=False,
-)
-def update_projects_and_samples(_n_clicks):
+def get_projects_and_samples():
     session = get_session()
     datasets = session.query(Dataset).all()
     session.close()
@@ -129,6 +127,17 @@ def update_projects_and_samples(_n_clicks):
     return projects, samples
 
 
+@callback(
+    Output({'type': 'project-name', 'page': MATCH}, 'data'),
+    Output({'type': 'sample-name', 'page': MATCH}, 'data'),
+    Input({'type': 'project-name', 'page': MATCH}, 'n_blur'),
+    Input({'type': 'sample-name', 'page': MATCH}, 'n_blur'),
+    prevent_initial_call=False,
+)
+def update_projects_and_samples(_project_blur, _sample_blur):
+    return get_projects_and_samples()
+
+
 # ---------------------------------------------------------------------------
 # Save dataset to database and reset the form
 # ---------------------------------------------------------------------------

src/deeranalysis/components/logs_import_modal.py

@@ -130,8 +130,8 @@ def _build_signal_figure(dataset_store, correct_phase, masking_enabled):
 
 
 @callback(
-    Output({"type": "metadata-value-modal", 'page': page_id}, "opened"),
-    Output({"type": "metadata-value-modal-text", 'page': page_id}, "value"),
+    Output({"type": "metadata-value-modal", 'page': page_id}, "opened", allow_duplicate=True),
+    Output({"type": "metadata-value-modal-text", 'page': page_id}, "value", allow_duplicate=True),
     Input({"type": "metadata-show-btn", "key": dash.ALL}, "n_clicks"),
     State({"type": "metadata-modal-store", "page": page_id}, "data"),
     prevent_initial_call=True,