Correct clicking data point for info

closes #134 (closed) #86 (closed)

• Modify function get_index_from_time into get_index_from_data_picked to be simpler and handle wrong index detect in upDownDots type.
• Retrieve data from plotting_data2 for detecting mass position info.
• Fix bug that call combine_data() for RT130's soh_data which remove logIdx from data. This bug causes clicking on point cannot connect with search_message_dialog.

sohstationviewer/view/plotting/plotting_widget/plotting_widget_helper.py

+from typing import List, Optional
+import numpy as np
+
+
+def get_index_from_data_picked(
+        chan_data: List[np.ndarray], tm: float, val: float) -> Optional[int]:
+    """
+    Get index of data picked
+    :param chan_data: dict of data to plot that includes 'times', 'data' key
+    :param tm: epoch time of a clicked point
+    :param val: data value of a clicked point
+    :return section_idx: index of tm inside np.ndarray found
+    """
+    if chan_data['chan_db_info']['plotType'] == 'upDownDots':
+        # actual plotting has value -0.5 or 0.5;
+        # the value need to be convert to 0 or 1
+        val = 1 if val == 0.5 else 0
+
+    if (chan_data['chan_db_info']['plotType']
+            in ["multiColorDots", "dotForTime"]):
+        # don't check val because the plot's data don't affect the position
+        # of the data point and overlap isn't an issue.
+        real_indexes = np.where(chan_data['times'][0] == tm)[0]
+    else:
+        real_indexes = np.where((chan_data['times'][0] == tm) &
+                                (chan_data['data'][0] == val))[0]
+    if len(real_indexes) != 1:
+        return
+    return real_indexes[0]
+
+
+def get_total_miny_maxy(
+        x: np.ndarray, y: Optional[np.ndarray],
+        min_x: float, max_x: float) -> (int, Optional[float], Optional[float]):
+    """
+    Identify total points in channel and y_min, y_max to reset the info and
+        ylim
+    :param x: x list of the plot
+    :param y: y list of the plot
+    :param min_x: Under limit of x
+    :param max_x: Upper limit of x
+
+    :return: total points, new under limit of y, new upper limit of y
+    """
+    new_x_indexes = np.where((x >= min_x) & (x <= max_x))[0]
+
+    new_x = x[new_x_indexes]
+    if new_x.size == 0:
+        return 0, None, None
+
+    new_min_x_index = min(new_x_indexes)
+    new_max_x_index = max(new_x_indexes)
+    new_y = y[new_min_x_index:new_max_x_index + 1]
+    new_min_y = min(new_y)
+    new_max_y = max(new_y)
+    return new_x_indexes.size, new_min_y, new_max_y