refactor: add support to plot against x_data

bec_widgets/widgets/plots/waveform/waveform.py

@@ -1144,13 +1144,13 @@ class Waveform(PlotBase):
         to reduce the number of copies in between cycles. Be careful when refactoring
         this part as it will affect the performance of the async readback.
 
+        Async curves support plotting against 'index' or other 'device_signal'. No 'auto' or 'timestamp'.
+        The fallback mechanism for 'auto' and 'timestamp' is to use the 'index'.
+
         Note:
             We create data_plot_x and data_plot_y and modify them within this function
             to avoid creating new arrays. This is important for performance.
-            We adjust the variables based on instruction type.
-            - add: Add the new data to the existing data.
-            - add_slice: Add the new data to the existing data and set the slice index.
-            - replace: Replace the existing data with the new data.
+            Support update instructions are 'add', 'add_slice', and 'replace'.
 
         Args:
             msg(dict): Message with the async data.
@@ -1196,14 +1196,31 @@ class Waveform(PlotBase):
 
             # Replace is trivial, no need to modify data_plot_y
 
-            # Get the x data if 'timestamp' is selected, otherwise compute it
-            data_plot_x = async_data["timestamp"]
-            if plot_mode == "timestamp" and instruction != "add_slice":
-                if data_plot_x is not None and x_data is not None:
-                    data_plot_x = np.hstack((x_data, data_plot_x))
-            else:
+            # Get x data for plotting
+            if plot_mode in ["index", "auto", "timestamp"]:
                 data_plot_x = np.linspace(0, len(data_plot_y) - 1, len(data_plot_y))
-            # Set the x data
+                self._auto_adjust_async_curve_settings(curve, len(data_plot_y))
+                curve.setData(data_plot_x, data_plot_y)
+                # Move on in the loop
+                continue
+            # Only consider device signals that are async for now, fallback is index
+            x_device_entry = self.x_axis_mode["entry"]
+            async_data = msg["signals"].get(x_device_entry, None)
+            # Make sure the signal exists, otherwise fall back to index
+            if async_data is None:
+                # Try to grab the data from device signals
+                data_plot_x = self._get_x_data(plot_mode, x_device_entry)
+                if len(data_plot_x) != len(data_plot_y):
+                    # If the data is not the same length, fall back to index
+                    logger.warning(
+                        f"Async data for curve {curve.name()} is None. Falling back to index."
+                    )
+                    data_plot_x = np.linspace(0, len(data_plot_y) - 1, len(data_plot_y))
+            elif x_data is not None:
+                data_plot_x = np.hstack((x_data, async_data["value"]))
+            else:
+                data_plot_x = async_data["value"]
+            # Plot the data
             self._auto_adjust_async_curve_settings(curve, len(data_plot_y))
             curve.setData(data_plot_x, data_plot_y)
 

tests/end-2-end/test_plotting_framework_e2e.py

@@ -135,13 +135,13 @@ def test_async_plotting(qtbot, bec_client_lib, connected_client_gui_obj):
 
     # Wait for the scan to finish and the data to be available in history
     # Wait until scan_id is in history
-    def _wait_for_scan_in_hisotry():
+    def _wait_for_scan_in_history():
         if len(client.history) == 0:
             return False
         # Once items appear in storage, the last one hast to be the one we just scanned
         return client.history[-1].metadata.bec["scan_id"] == status.scan.scan_id
 
-    qtbot.waitUntil(_wait_for_scan_in_hisotry, timeout=10000)
+    qtbot.waitUntil(_wait_for_scan_in_history, timeout=10000)
     last_scan_data = client.history[-1]
     # check plotted data
     x_data, y_data = curve.get_data()

tests/unit_tests/test_waveform_next_gen.py

@@ -353,7 +353,7 @@ def test_update_async_curves(monkeypatch, qtbot, mocked_client):
     wf = create_widget(qtbot, Waveform, client=mocked_client)
     c = wf.plot(arg1="async_device", label="async_device-async_device")
     wf._async_curves = [c]
-    wf.x_mode = "timestamp"
+    wf.x_mode = "timestamp"  # Timestamp is not supported, fallback to index.
     dummy_scan = create_dummy_scan_item()
     wf.scan_item = dummy_scan
 
@@ -366,7 +366,7 @@ def test_update_async_curves(monkeypatch, qtbot, mocked_client):
     monkeypatch.setattr(c, "setData", fake_setData)
 
     wf.update_async_curves()
-    np.testing.assert_array_equal(recorded.get("x"), [11, 21, 31])
+    np.testing.assert_array_equal(recorded.get("x"), [0, 1, 2])
     np.testing.assert_array_equal(recorded.get("y"), [1, 2, 3])
 
 
@@ -528,12 +528,10 @@ def test_setup_async_curve(qtbot, mocked_client, monkeypatch):
     assert "async_device" in endpoint_called
 
 
-@pytest.mark.parametrize("x_mode", ("timestamp", "index"))
-def test_on_async_readback_add_update(qtbot, mocked_client, x_mode):
+def test_on_async_readback_add_update(qtbot, mocked_client):
     """
     Test that on_async_readback extends or replaces async data depending on metadata instruction.
-    For 'timestamp' mode, new timestamps are appended to x_data.
-    For 'index' mode, x_data simply increases by integer index.
+    'Index' mode
     """
     wf = create_widget(qtbot, Waveform, client=mocked_client)
     wf.scan_item = create_dummy_scan_item()
@@ -543,7 +541,7 @@ def test_on_async_readback_add_update(qtbot, mocked_client, x_mode):
     c.setData([0, 1, 2], [10, 11, 12])
 
     # Set the x_axis_mode
-    wf.x_axis_mode["name"] = x_mode
+    wf.x_axis_mode["name"] = "index"
 
     ############# Test add ################
 
@@ -554,10 +552,7 @@ def test_on_async_readback_add_update(qtbot, mocked_client, x_mode):
     x_data, y_data = c.get_data()
     assert len(x_data) == 5
     # Check x_data based on x_mode
-    if x_mode == "timestamp":
-        np.testing.assert_array_equal(x_data, [0, 1, 2, 1001, 1002])
-    else:  # x_mode == "index"
-        np.testing.assert_array_equal(x_data, [0, 1, 2, 3, 4])
+    np.testing.assert_array_equal(x_data, [0, 1, 2, 3, 4])
 
     np.testing.assert_array_equal(y_data, [10, 11, 12, 100, 200])
 
@@ -566,11 +561,7 @@ def test_on_async_readback_add_update(qtbot, mocked_client, x_mode):
     metadata2 = {"async_update": {"max_shape": [None], "type": "replace"}}
     wf.on_async_readback(msg2, metadata2)
     x_data2, y_data2 = c.get_data()
-    if x_mode == "timestamp":
-        np.testing.assert_array_equal(x_data2, [555])
-    else:
-
-        np.testing.assert_array_equal(x_data2, [0])
+    np.testing.assert_array_equal(x_data2, [0])
 
     np.testing.assert_array_equal(y_data2, [999])