Automated YAPF Formatting

backtest_module.py

@@ -37,7 +37,7 @@ def backtest(algorithm, prices, timestamps, balance=200, strength_to_usd=200, pl
 			  'strength': strength,
 			  'current_balance': balance,
 			  'current_shares': shares,
-				'timestamp': timestamps[index-1]
+			  'timestamp': timestamps[index - 1]
 			})
 
 	return {
@@ -63,7 +63,6 @@ def plot(back_test_data):
 	plt.subplot(gs[0, :])
 	plt.plot(timestamps, balances, color=colors.primary())
 
-
 	buy_signals = np.where(np.array(signals) == 'buy')[0]
 	plt.scatter(buy_signals, [balances[i] for i in buy_signals], color=colors.lower())
 
@@ -81,4 +80,4 @@ def plot(back_test_data):
 	plt.close()  # Solved plots overwriting each other
 	svg_buffer.close()
 
-	return plot_data
+	return plot_data

plots/styling.py

@@ -15,7 +15,7 @@ def style_plots(interval=0, dates=True):
 				xfmt = md.DateFormatter('%Y')
 			elif interval >= 1440:
 				xfmt = md.DateFormatter('%y/%m')
-			elif interval >= 240 or interval == 0: 
+			elif interval >= 240 or interval == 0:
 				xfmt = md.DateFormatter('%m/%d')
 			elif interval >= 15:
 				xfmt = md.DateFormatter('%d')

price.py

@@ -75,7 +75,8 @@ def get_cached_prices(interval='default'):
 	if len(prices) < 1:
 		return np.zeros(point_count), np.zeros(point_count), 0
 
-	return np.array(prices).astype(float), interpolate_timestamps(timestamps, interval).astype(float), int(last_complete_point)
+	return np.array(prices).astype(float), interpolate_timestamps(timestamps,
+	                                                              interval).astype(float), int(last_complete_point)
 
 # Price Caching On Redis DataBase
 def update_cached_prices(log=True):

test_app.py

@@ -125,8 +125,7 @@ def test_views(self):
 				plot_response = app_client.get(f'/backtest/{algorithm}?interval={interval}')
 				self.assertEqual(plot_response.status_code, 200)
 				time.sleep(5)
-			time.sleep(5) #Solved to many requests from kraken
-
+			time.sleep(5)  #Solved to many requests from kraken
 
 if __name__ == '__main__':
 	unittest.main()

utils.py

@@ -46,13 +46,13 @@ def svg_plot():
 	return plot_data
 
 def interpolate_timestamps(timestamps, interval):
-		timestamps = np.array(timestamps, dtype='float64')  # Convert to float
-		interval_seconds = interval * 60  # Convert minutes to seconds
-    
-    # Calculate the number of intervals needed
-		num_intervals = int((timestamps[-1] - timestamps[0]) / interval_seconds) + 1
-    
-    # Generate new timestamps using np.arange
-		new_timestamps = np.arange(timestamps[0], timestamps[0] + num_intervals * interval_seconds, interval_seconds)
-    
-		return new_timestamps
+	timestamps = np.array(timestamps, dtype='float64')  # Convert to float
+	interval_seconds = interval * 60  # Convert minutes to seconds
+
+	# Calculate the number of intervals needed
+	num_intervals = int((timestamps[-1] - timestamps[0]) / interval_seconds) + 1
+
+	# Generate new timestamps using np.arange
+	new_timestamps = np.arange(timestamps[0], timestamps[0] + num_intervals * interval_seconds, interval_seconds)
+
+	return new_timestamps

views/plot.py

@@ -8,7 +8,6 @@
 from mpld3 import fig_to_html
 from flask import request
 
-
 mpl.use('Agg')
 
 figure_size = mpl.rcParams['figure.figsize']
@@ -46,5 +45,5 @@ def plot(algorithm_name):
 
 	style_plots(interval)
 
-		# @TODO change d3 and mpld3 urls to local ones
+	# @TODO change d3 and mpld3 urls to local ones
 	return fig_to_html(figure) if interactive else svg_plot()