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Dockerfile

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+#Grab python=3.9-slim-buster image
+FROM python:3.9-slim-buster
+
+
+# Copy code to container
+COPY . .
+
+# RUN apt-get update
+RUN apt-get update && apt-get install -y build-essential wget python3-dev python3-pip gcc
+# openldap-dev libffi-dev jpeg-dev zlib-dev libmemcached-dev gcc libc-dev g++ libxml2 libxslt libxslt-dev
+
+# TA-Lib
+RUN wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz && \
+  tar -xvzf ta-lib-0.4.0-src.tar.gz && \
+  cd ta-lib/ && \
+  ./configure --prefix=/usr && \
+  make && \
+  make install && \
+  cd ..
+RUN rm -R ta-lib ta-lib-0.4.0-src.tar.gz
+
+# Move working directory
+WORKDIR /app
+
+# Install python depencies
+RUN pip3 install --upgrade pip && pip3 install --no-cache-dir -q -r requirements.txt
+
+# Expose is NOT supported by Heroku
+# EXPOSE 5000 		
+
+# Run the image as a non-root user
+RUN adduser myuser
+USER myuser
+
+# Run the app.  CMD is required to run on Heroku
+CMD gunicorn --bind 0.0.0.0:5000 app:app 

README.md

@@ -1,9 +1,10 @@
 ---
-title: Screener Saham Demo
-emoji: 🐢
-colorFrom: purple
-colorTo: gray
+title: Screener Saham IDX Demo
+emoji: 📈
+colorFrom: red
+colorTo: green
 sdk: docker
+app_port: 5000
 pinned: false
 license: apache-2.0
 ---

app/app.py

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+from flask import Flask, render_template, request
+from helper_script import get_tickers, get_data, plot_candlestick
+from update_database import update_database, get_last_update_time
+from bokeh.resources import INLINE
+import json
+
+app = Flask(__name__)
+
+# load patterns file
+with open("dataset/patterns.json") as f:
+    patterns = json.load(f)
+# sort `patterns` by value
+patterns = dict(sorted(patterns.items(), key=lambda item: item[1]))
+
+last_update_time = get_last_update_time()
+
+@app.route("/", methods=["GET", "POST"])
+def home():
+    global last_update_time
+    pattern = request.args.get("pattern", None)
+    if request.method == "POST":
+        update_database()
+        last_update_time = get_last_update_time()
+        return render_template("index.html", patterns=patterns, selected=pattern, last_update_time=last_update_time)
+    if pattern:
+        return plot(pattern)
+    else:
+        return render_template("index.html", patterns=patterns, selected=False, last_update_time=last_update_time)
+
+
+def plot(pattern):
+    print(pattern)
+    plot_divs, plot_scripts = [], []
+    tickers = get_tickers(patterns[pattern])
+    print(len(tickers))
+    if len(tickers) == 0:
+        return render_template("no_pattern_found.html", patterns=patterns, selected=pattern)
+    else:
+        for i, kode in enumerate(tickers):
+            print(f"{kode}\t\t {i}/{len(tickers)}")
+            df, nama = get_data(kode, patterns[pattern])
+            if len(df[["Open", "High", "Low", "Close"]].tail(3).drop_duplicates(keep=False)) > 0:
+                plot_script, plot_div = plot_candlestick(df, nama, kode)
+                plot_scripts.append(plot_script)
+                plot_divs.append(plot_div)
+        return render_template(
+            "plot.html", 
+            patterns=patterns, 
+            selected=pattern,
+            js_resources = INLINE.render_js(),
+            css_resources = INLINE.render_css(),
+            plot_divs = plot_divs, 
+            plot_scripts = plot_scripts,
+            last_update_time=last_update_time
+        )
+
+    
+if __name__ == "__main__":
+    app.run(debug=True) 

app/assets/css/styles.css

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+div#loading {
+    width: 50%;
+    height: 50%;
+    cursor: wait;
+    }