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CANveyor/stat/frequency.py
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2026-07-14 14:28:15 +02:00

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4.8 KiB
Python

# File: frequency.py
# Copyright (C) 2026 Erick Ahmed
# SPDX-License-Identifier: AGPL-3.0-or-later
import argparse
from pathlib import Path
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from utils.extractor import load_data
def _format_can_id(x):
"""Safely cleans CAN ID strings without altering their length or value."""
if pd.isna(x):
return "UNKNOWN"
s = str(x).strip()
if not s:
return "UNKNOWN"
if s.lower().startswith('0x'):
s = s[2:]
return s.upper()
def calculate_frequency(df: pd.DataFrame) -> pd.DataFrame:
"""Calculates frequency counts and percentages for identifiers."""
can_id_col = 'ID' if 'ID' in df.columns else 'Identifier'
df['Formatted_ID'] = df[can_id_col].apply(_format_can_id)
freq_df = df['Formatted_ID'].value_counts().reset_index()
freq_df.columns = ['Identifier', 'Count']
total = freq_df['Count'].sum()
freq_df['Percentage'] = (freq_df['Count'] / total * 100).round(2)
return freq_df.sort_values('Count', ascending=True)
def plot_frequency(stats_df: pd.DataFrame, title: str) -> go.Figure:
"""Generates interactive horizontal bar chart with log x-axis."""
fig = px.bar(
stats_df, y='Identifier', x='Count', orientation='h', title=title, log_x=True,
labels={'Identifier': 'PGN / CAN ID', 'Count': 'Message Count'},
color='Count', color_continuous_scale='Turbo',
range_color=(stats_df['Count'].min(), stats_df['Count'].max()),
hover_data={'Percentage': ':.2f', 'Count': ':,', 'Identifier': True}
)
fig.update_layout(
height=max(600, len(stats_df) * 18),
autosize=True,
template='plotly_white',
xaxis=dict(
title=dict(text="Message count [log scale]", font=dict(size=13, color="#1a1a1a")),
side="top",
dtick=1,
showgrid=False,
linecolor="#bdbdbd",
tickfont=dict(size=12, color="#2a2a2a"),
ticks="outside",
ticklen=4,
tickcolor="#cccccc",
),
yaxis=dict(
title=dict(text="PGN or CAN ID", font=dict(size=13, color="#1a1a1a")),
showgrid=False,
linecolor="#bdbdbd",
tickfont=dict(size=12, color="#2a2a2a"),
ticks="outside",
ticklen=4,
tickcolor="#cccccc",
automargin=True,
type='category'
),
font=dict(family="Segoe UI, Arial, sans-serif", size=12, color='#2a2a2a'),
hoverlabel=dict(bgcolor="white", font_size=13, font_family="Segoe UI",
bordercolor='#cccccc'),
margin=dict(l=200, r=40, t=120, b=60),
bargap=0.35,
coloraxis_colorbar=dict(
title=dict(text='Message Count', side='top'),
orientation='h',
thickness=15,
len=0.35,
x=1.0,
xanchor='right',
y=1.02,
yanchor='bottom',
tickformat=',',
outlinecolor='#cccccc',
outlinewidth=0.5
),
title=dict(font=dict(size=20, color='#1a1a1a'), x=0.5, xanchor='center',
pad=dict(b=20))
)
fig.update_xaxes(
showgrid=True, gridwidth=0.5, gridcolor='#e8e8e8',
zeroline=False, linecolor='#bdbdbd', mirror=False,
tickformat=',',
minor=dict(showgrid=True, gridcolor='#f4f4f4', gridwidth=0.5)
)
fig.update_yaxes(
showgrid=False, zeroline=False, linecolor='#bdbdbd',
ticks='outside', ticklen=4, tickcolor='#cccccc',
automargin=True
)
fig.update_traces(
hovertemplate="<b>%{y}</b><br>Count: %{x:,}<br>Share: %{customdata[0]}%<extra></extra>",
marker_line_width=0,
texttemplate='%{x:,}',
textposition='outside',
textfont=dict(size=10, color='#666666'),
cliponaxis=False,
selected=dict(marker=dict(opacity=0.6)),
unselected=dict(marker=dict(opacity=0.2))
)
return fig
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Analyze CAN bus message frequency")
parser.add_argument("input", type=Path, help="Path to the input CAN log file")
parser.add_argument("output", type=Path, nargs="?", default=Path("freq_report.html"), help="Path to the output HTML report")
parser.add_argument("title", nargs="?", default="Frequency", help="Title for the HTML report")
args = parser.parse_args()
df = load_data(args.input)
stats = calculate_frequency(df)
fig = plot_frequency(stats, title=args.title)
config = {
'responsive': True,
'displaylogo': False,
'scrollZoom': True,
'modeBarButtonsToAdd': ['toggleSpikelines'],
'toImageButtonOptions': {'format': 'png', 'scale': 2}
}
fig.write_html(str(args.output), include_plotlyjs='cdn', config=config)