support for vbt indicators in helpers

lightweight_charts/abstract.py

@@ -6,7 +6,7 @@ from datetime import datetime
 from typing import Callable, Union, Literal, List, Optional
 import pandas as pd
 import random
-from vectorbtpro.indicators import IndicatorFactory 
+#from vectorbtpro.indicators import IndicatorFactory 
 from .table import Table
 from .toolbox import ToolBox
 from .drawings import Box, HorizontalLine, RayLine, TrendLine, TwoPointDrawing, VerticalLine, VerticalSpan
@@ -14,18 +14,12 @@ from .topbar import TopBar
 from .util import (
     BulkRunScript, Pane, Events, IDGen, as_enum, jbool, js_json, TIME, NUM, FLOAT,
     LINE_STYLE, MARKER_POSITION, MARKER_SHAPE, CROSSHAIR_MODE, MARKER_TYPE,
-    PRICE_SCALE_MODE, marker_position, marker_shape, js_data,
+    PRICE_SCALE_MODE, marker_position, marker_shape, js_data, is_vbt_indicator
 )
 
 current_dir = os.path.dirname(os.path.abspath(__file__))
 INDEX = os.path.join(current_dir, 'js', 'index.html')
 
-def is_indicator(variable):
-    # Get the module path of the variable's type
-    module_path = variable.__class__.__module__
-    # Check if it starts with 'vectorbtpro.indicators'
-    return module_path.startswith('vectorbtpro.indicators')
-
 # # Predefined colors that stand out well on dark backgrounds
 # COLORS = [
 #     'rgba(255, 0, 0, 0.6)',      # Red
@@ -309,7 +303,7 @@ class SeriesCommon(Pane):
             self.run_script(f'{self.id}.series.setData([])')
             self.data = pd.DataFrame()
             return
-        if is_indicator(df):
+        if is_vbt_indicator(df):
             df = df.real
         #if df is pd.Series then convert to df
         if isinstance(df, pd.Series):

lightweight_charts/helpers.py

@@ -1,4 +1,7 @@
-from lightweight_charts.widgets import JupyterChart
+from .widgets import JupyterChart
+from .util import (
+    is_vbt_indicator
+)
 
 class Panel:
     """
@@ -167,8 +170,19 @@ def chart(panes: list[Panel], sync=False, title='', size="m"):
                             series, name, entries, exits, markers = (tup + (None, None, None, None, None))[:5]
                             if series is None:
                                 continue
-                            tmp = active_chart.create_line(name=name, priceScaleId=att_name)#, color="blue")
+
-                            tmp.set(series)
+                            #pokud jde o vbt indikator vytahneme vsechny output a predpokladame, ze jde o lines a vykreslime je
+                            if is_vbt_indicator(series):
+                                for output in series.output_names:
+                                    output_series = getattr(series, output)       
+                                    tmp = active_chart.create_line(name=output, priceScaleId=att_name)#, color="blue")
+                                    tmp.set(output_series)
+                            else:
+                                if name is None:
+                                      name = "no_name"
+
+                                tmp = active_chart.create_line(name=name, priceScaleId=att_name)#, color="blue")
+                                tmp.set(series)
 
                             if entries is not None:
                                 tmp.markers_set(entries, "entries")

lightweight_charts/util.py

@@ -7,6 +7,12 @@ from numpy import isin
 import pandas as pd
 
 
+def is_vbt_indicator(variable):
+    # Get the module path of the variable's type
+    module_path = variable.__class__.__module__
+    # Check if it starts with 'vectorbtpro.indicators'
+    return module_path.startswith('vectorbtpro.indicators')
+
 class Pane:
     def __init__(self, window):
         from lightweight_charts import Window