feat(stock-market): update exchange_rate endpoint in mock server

subjects/mobile-dev/stock-market/resources/mock-stock-data-server/app.py

@@ -1,32 +1,31 @@
-from flask import Flask, jsonify
+from flask import Flask, jsonify, request
 from flask_cors import CORS
 
+from random import uniform
 import time
-from utils import load_historical_data
+from utils import load_data
 
 app = Flask(__name__)
 CORS(app)
 
 start_time = time.time()
 
-historical_data = load_historical_data()
+historical_data = load_data()
 
 
 @app.route('/exchange_rate/<symbol>')
 def get_stock_data(symbol):
     if symbol not in list(historical_data.keys()):
         return jsonify("Invalid symbol")
     current_time = time.time()
+    last_value = historical_data[symbol].Close[-1]
     step = (int(current_time * 10) - int(start_time * 10)
             ) % len(historical_data[symbol])
-    try:
-        return jsonify({
-            'symbol': 'USD',
-            'rate': float(historical_data[symbol][step]),
-            'timestamp': current_time
-        })
-    except:
-        return "Server Error"
+    return jsonify({
+        'symbol': 'USD',
+        'rate': last_value * (1 + uniform(0.05, -0.05) + step * 0.0005),
+        'timestamp': current_time
+    })
 
 
 @app.route('/stocks_list')

subjects/mobile-dev/stock-market/resources/mock-stock-data-server/requirements.txt

@@ -6,3 +6,9 @@ itsdangerous==2.1.2
 Jinja2==3.1.4
 MarkupSafe==2.1.3
 Werkzeug==3.0.3
+numpy==1.26.4
+pandas==2.2.2
+python-dateutil==2.9.0.post0
+pytz==2024.1
+six==1.16.0
+tzdata==2024.1

subjects/mobile-dev/stock-market/resources/mock-stock-data-server/utils.py

@@ -1,5 +1,6 @@
 import os
 import csv
+import pandas as pd
 
 
 def load_historical_data(directory_path='./sample-stocks/'):
@@ -19,6 +20,21 @@ def load_historical_data(directory_path='./sample-stocks/'):
     return historical_data
 
 
+def load_data(directory_path='./sample-stocks/'):
+    historical_data = {}
+
+    file_list = [filename for filename in os.listdir(
+        directory_path) if filename.endswith(".csv")]
+    for filename in file_list:
+        symbol = filename.replace(".csv", "")
+        file_path = os.path.join(directory_path, filename)
+        historical_data[symbol] = pd.read_csv(
+            file_path, index_col=0, parse_dates=True)
+
+    return historical_data
+
+
 if __name__ == "__main__":
-    result = load_historical_data()
+    result = load_data()
     print(f'keys: {result.keys()}')
+    print(result["AE"].Close[-1])