1 files changed, 0 insertions, 141 deletions
diff --git a/openbb_terminal/common/behavioural_analysis/finbrain_view.py b/openbb_terminal/common/behavioural_analysis/finbrain_view.py
deleted file mode 100644
index 7f78967788b..00000000000
--- a/openbb_terminal/common/behavioural_analysis/finbrain_view.py
+++ /dev/null
@@ -1,141 +0,0 @@
-"""FinBrain View Module"""
-
-__docformat__ = "numpy"
-
-import logging
-import os
-from typing import Optional, Union
-
-import numpy as np
-import pandas as pd
-
-from openbb_terminal import OpenBBFigure, rich_config, theme
-from openbb_terminal.common.behavioural_analysis import finbrain_model
-from openbb_terminal.core.session.current_user import get_current_user
-from openbb_terminal.decorators import log_start_end
-from openbb_terminal.helper_funcs import export_data, print_rich_table
-from openbb_terminal.rich_config import console
-
-logger = logging.getLogger(__name__)
-
-
-def lambda_sentiment_coloring(val: float, last_val: float) -> str:
-    if float(val) > last_val:
-        return f"[green]{val}[/green]"
-    return f"[red]{val}[/red]"
-
-
-@log_start_end(log=logger)
-def display_sentiment_analysis(
-    symbol: str,
-    raw: bool = False,
-    export: str = "",
-    sheet_name: Optional[str] = None,
-    external_axes: bool = False,
-) -> Union[None, OpenBBFigure]:
-    """Plots Sentiment analysis from FinBrain. Prints table if raw is True. [Source: FinBrain]
-
-    Parameters
-    ----------
-    symbol: str
-        Ticker symbol to get the sentiment analysis from
-    raw: False
-        Display raw table data
-    sheet_name: str
-        Optionally specify the name of the sheet the data is exported to.
-    export: str
-        Format to export data
-    external_axes: bool, optional
-        Whether to return the figure object or not, by default False
-    """
-    sentiment = finbrain_model.get_sentiment(symbol)
-    if sentiment.empty:
-        return console.print("No sentiment data found.\n")
-
-    if raw:
-        if (
-            rich_config.USE_COLOR
-            and not get_current_user().preferences.USE_INTERACTIVE_DF
-        ):
-            color_df = sentiment["Sentiment Analysis"].apply(
-                lambda_sentiment_coloring, last_val=0
-            )
-            color_df = pd.DataFrame(
-                data=color_df.values,
-                index=pd.to_datetime(sentiment.index).strftime("%Y-%m-%d"),
-            )
-            print_rich_table(
-                color_df,
-                headers=["Sentiment"],
-                title="FinBrain Ticker Sentiment",
-                show_index=True,
-                export=bool(export),
-            )
-        else:
-            print_rich_table(
-                pd.DataFrame(
-                    data=sentiment.values,
-                    index=pd.to_datetime(sentiment.index).strftime("%Y-%m-%d"),
-                ),
-                headers=["Sentiment"],
-                title="FinBrain Ticker Sentiment",
-                show_index=True,
-                export=bool(export),
-            )
-
-    fig = OpenBBFigure(
-        yaxis=dict(title="Sentiment", range=[-1.1, 1.1]), xaxis_title="Time"
-    )
-
-    fig.add_hline(y=0, line_dash="dash")
-
-    start_date = sentiment.index[-1].strftime("%Y/%m/%d")
-
-    fig.set_title(
-        f"FinBrain's Sentiment Analysis for {symbol.upper()} since {start_date}"
-    )
-    senValues = np.array(pd.to_numeric(sentiment["Sentiment Analysis"].values))
-    senNone = np.array(0 * len(sentiment))
-    df_sentiment = sentiment["Sentiment Analysis"]
-    negative_yloc = np.where(senValues < senNone)[0]
-    positive_yloc = np.where(senValues > senNone)[0]
-
-    fig.add_scatter(
-        x=df_sentiment.index[positive_yloc],
-        y=pd.to_numeric(df_sentiment.values)[positive_yloc],
-        mode="lines+markers",
-        marker=dict(color=theme.up_color, size=15),
-        line_width=1,
-        name=symbol,
-    )
-    fig.add_scatter(
-        x=[df_sentiment.index[0], df_sentiment.index[-1]],
-        y=[0, 0],
-        fillcolor=theme.up_color_transparent.replace("0.5", "0.4"),
-        line=dict(color="white", dash="dash"),
-        fill="tonexty",
-        mode="lines",
-        name=symbol,
-    )
-    fig.add_scatter(
-        x=df_sentiment.index[negative_yloc],
-        y=pd.to_numeric(df_sentiment.values)[negative_yloc],
-        fill="tonexty",
-        fillcolor=theme.down_color_transparent.replace("0.5", "0.4"),
-        line_width=1,
-        mode="lines+markers",
-        marker=dict(color=theme.down_color, size=15),
-        name=symbol,
-    )
-    fig.update_traces(showlegend=False)
-
-    export_data(
-        export,
-        os.path.dirname(os.path.abspath(__file__)),
-        "headlines",
-        sentiment,
-        sheet_name,
-        fig,
-    )
-
-    return fig.show(external=raw or external_axes)