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from plotly.subplots import make_subplots
from core.logger import logger
def make_pie_chart(data):
text_values = [f"({str(value)})" for value in data['values']]
logger.info(f"text_values {text_values}")
trace = go.Pie(
labels=data['labels'],
values=data['values'],
textinfo='percent+value',
# Display only the values (counts) on the chart # Display only the label on the chart
text=text_values, # Display custom text for each slice
)
fig = make_subplots(rows=1, cols=1)
fig.add_trace(trace)
fig.update_layout(
title=dict(
text="PPE Infractions",
font=dict(size=12, color='black'), # Increase font size, set color to black, and make it bold
x=0.5, # Center the title horizontally
y=0.87 # Adjust the y-coordinate to position the title vertically
),
showlegend=True,
legend=dict(font=dict(size=14), orientation='h', x=0.32, y=-0.1),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
fig.update_layout(
autosize=True,
)
fig.write_image("templates/pie.png")
def make_line_chart(data):
x_data = []
y1 = []
# y2 = []
# y3 = []
# y4 = []
sorted_data = dict(sorted(data.items(), key=lambda x: x[0]))
logger.info(f"Sorted Data is {sorted_data}")
for key, value in sorted_data.items():
x_data.append(key)
y1.append(value['total_people_detected'])
# y2.append(value['ppe_infractions'])
# y3.append(value['MISSING HELMET'])
# y4.append(value['MISSING VEST'])
fig = go.Figure()
# Line 1
fig.add_trace(go.Scatter(
x=x_data,
y=y1,
mode='lines+markers',
name='Total People Detected', # This names the line, and will appear in the legend
marker=dict(size=10),
line=dict(width=2)
))
# Update layout for aesthetics
fig.update_layout(
xaxis_title='Days of the Week',
yaxis_title='Quantity',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=1200,
xaxis=dict(
title='Days of the Week',
rangemode='tozero', # Set x-axis to start from 0
),
yaxis=dict(
title='Quantity',
rangemode='tozero', # Set y-axis to start from 0
),
)
fig.write_image("templates/line.png")
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