first commit

app.py

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+import pandas as pd
+import numpy as np
+import os
+
+import hvplot as hv
+import holoviews as hvs
+import panel as pn
+import hvplot.pandas
+
+pn.extension('bokeh', template='bootstrap')
+
+
+#Need to update github action to merge gurufocus daily with weekly tiprank
+
+current_datetime = datetime.now().strftime("%Y-%m-%d")    
+daily_gurufocus_csvfile = f"https://raw.githubusercontent.com/alirezax2/GurusFocusCrawl/main/gurufocus/GuruFocus_merged_{current_datetime}.csv"
+
+daily_gurufocus_DF = pd.read_csv(daily_gurufocus_csvfile)
+
+
+monthly_tiprank_csvfile = f"https://raw.githubusercontent.com/alirezax2/GurusFocusCrawl/main/tipranks/tipranks_2024-02-28.csv"
+
+monthly_tiprank_DF = pd.read_csv(monthly_tiprank_csvfile)
+
+#Merging with Gurufocus
+DFgurufocus = daily_gurufocus_DF[['Ticker' , 'GFValue']] # , 'GFValuediff']]
+DFmerge_tipranks_gurufocus = DFgurufocus.merge(monthly_tiprank_DF)
+
+if 'Price' in DFmerge_tipranks_gurufocus.columns and 'GFValue' in DFmerge_tipranks_gurufocus.columns:
+  DFmerge_tipranks_gurufocus['GFValuepercent'] = 100* ( DFmerge_tipranks_gurufocus['GFValue'] - DFmerge_tipranks_gurufocus['Price']) / DFmerge_tipranks_gurufocus['Price']
+
+
+ticker = pn.widgets.AutocompleteInput(name='Ticker', options=list(DFmerge_tipranks_gurufocus.Ticker) , placeholder='Write Ticker here همین جا')
+# ticker.value = "AAPL"
+
+SmartScore = pn.widgets.EditableRangeSlider(name='SmartScore', start=0, end=10, value=(9, 10), step=1)
+
+Industry = pn.widgets.CheckBoxGroup( name='Select Industry', value=list(set(DFmerge_tipranks_gurufocus.Industry)), options=list(set(DFmerge_tipranks_gurufocus.Industry)), inline=True)
+Sector = pn.widgets.CheckBoxGroup( name='Select Sector', value=list(set(DFmerge_tipranks_gurufocus.Sector)), options=list(set(DFmerge_tipranks_gurufocus.Sector)), inline=False)
+GFValuepercent = pn.widgets.FloatSlider(name='GFValuepercent', start=-100, end=1000, step=1, value=30.0)
+alert = pn.pane.Alert(f'{DFmerge_tipranks_gurufocus.shape} ', alert_type="success")
+# SmartScore = pn.widgets.IntSlider(name='SmartScore', start=0, end=10, step=1, value=9)
+# Sector = pn.widgets.Select(name='Sector', value='Mean', options=list(DFmerge_tipranks_gurufocus.Sector))
+# Industry = pn.widgets.Select(name='Sector', value='Mean', options=list(DFmerge_tipranks_gurufocus.Sector))
+
+
+def get_DF(DF,ticker,SmartScore,GFValuepercent ,Sector):
+  if ticker:
+    DF = DF.query("Ticker == @ticker")
+  # DF = DF.query("SmartScore>=@SmartScore[0] & SmartScore <= @SmartScore[1]")
+  # DF = DF.query('GFValuepercent>=@GFValuepercent')
+  # DF = DF.query('Sector in @ Sector')
+  return pn.widgets.Tabulator( DF.query("SmartScore>=@SmartScore[0] & SmartScore <= @SmartScore[1] & GFValuepercent>=@GFValuepercent & Sector in @ Sector" ), name='DataFrame' , height=500, widths=200 ,)
+
+def get_alert(DF,ticker,SmartScore,GFValuepercent ,Sector):
+  if ticker:
+    DF2 = DF.query("Ticker == @ticker")
+  else:
+    DF2 = DF
+  DF = DF.query("SmartScore>=@SmartScore[0] & SmartScore <= @SmartScore[1]")
+  return pn.pane.Alert(f'{DF.shape} ', alert_type="success")
+
+
+pn.extension('tabulator')
+bound_plot = pn.bind(get_DF, DF=DFmerge_tipranks_gurufocus,ticker=ticker,SmartScore=SmartScore,GFValuepercent=GFValuepercent ,Sector=Sector)
+
+pn.Column(pn.Row(pn.Column(ticker,SmartScore,GFValuepercent ,Sector),bound_plot)).servable(title="Fair Value Ranking - Gurufocus & Tiprank")

dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+RUN python3 -m pip install --no-cache-dir --upgrade pip
+RUN python3 -m pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/app.py", "--address", "0.0.0.0", "--port", "7860",  "--allow-websocket-origin", "*"]
+
+RUN mkdir /.cache
+RUN chmod 777 /.cache
+RUN mkdir .chroma
+RUN chmod 777 .chroma

requirements.txt

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+panel
+hvplot
+holoviews
+bokeh