262 lines
7.5 KiB
Python
262 lines
7.5 KiB
Python
"""Time-based analysis command."""
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from collections import defaultdict
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from datetime import datetime, timedelta
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from typing import Optional
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import click
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from rich.console import Console
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from rich.table import Table
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from shellhist.core import HistoryLoader
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@click.command("analyze-time")
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@click.option(
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"--history",
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"-H",
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type=str,
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help="Path to history file",
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)
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@click.option(
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"--daily/--no-daily",
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default=False,
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help="Show commands run at similar times daily",
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)
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@click.option(
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"--weekly/--no-weekly",
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default=False,
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help="Show commands run at similar times weekly",
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)
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@click.option(
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"--time-range",
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"-t",
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type=str,
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default="7d",
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help="Time range filter (e.g., '7d', '24h', '30d')",
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)
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@click.option(
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"--shell",
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"-s",
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type=click.Choice(["bash", "zsh"]),
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help="Shell type for parsing",
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)
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@click.pass_context
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def analyze_time_command(
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ctx: click.Context,
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history: Optional[str],
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daily: bool,
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weekly: bool,
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time_range: str,
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shell: Optional[str],
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) -> None:
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"""Analyze time-based patterns in your shell history.
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Examples:
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\b
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shellhist analyze-time --daily
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shellhist analyze-time --weekly --time-range 30d
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shellhist analyze-time --daily --time-range 7d
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"""
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console = Console()
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try:
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loader = HistoryLoader(history_path=history)
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store = loader.load()
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if not store.entries:
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console.print("[yellow]No entries found in history.[/yellow]")
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return
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entries_with_time = [
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e for e in store.entries
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if e.timestamp is not None
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]
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if not entries_with_time:
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console.print(
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"[yellow]No timestamps found in history. "
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"Ensure your history includes timestamps.[/yellow]"
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)
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return
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cutoff = _parse_time_range(time_range)
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recent_entries = [
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e for e in entries_with_time
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if e.timestamp >= cutoff
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]
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if daily:
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_analyze_daily_patterns(console, recent_entries)
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elif weekly:
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_analyze_weekly_patterns(console, recent_entries)
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else:
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_analyze_hourly_distribution(console, recent_entries)
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except FileNotFoundError as e:
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console.print(f"[red]Error: {e}[/red]")
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ctx.exit(1)
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except Exception as e:
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console.print(f"[red]Error analyzing time patterns: {e}[/red]")
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ctx.exit(1)
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def _parse_time_range(time_range: str) -> datetime:
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"""Parse time range string like '7d', '24h', '30d'."""
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value = int(time_range[:-1])
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unit = time_range[-1].lower()
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now = datetime.now()
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if unit == 'h':
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return now - timedelta(hours=value)
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elif unit == 'd':
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return now - timedelta(days=value)
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elif unit == 'w':
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return now - timedelta(weeks=value)
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else:
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return now - timedelta(days=7)
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def _analyze_hourly_distribution(console: Console, entries: list) -> None:
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"""Analyze command distribution by hour of day."""
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hourly = defaultdict(list)
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for entry in entries:
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hour = entry.timestamp.hour
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hourly[hour].append(entry.command)
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console.print("\n[bold cyan]Hourly Command Distribution[/bold cyan]")
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table = Table(show_header=True, header_style="bold magenta")
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table.add_column("Hour", width=10)
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table.add_column("Commands", width=10)
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table.add_column("Top Commands", width=60)
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for hour in range(24):
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cmds = hourly.get(hour, [])
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if cmds:
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top = defaultdict(int)
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for cmd in cmds:
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top[cmd] += 1
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top_sorted = sorted(top.items(), key=lambda x: x[1], reverse=True)[:2]
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top_str = ", ".join(f"{c}({n})" for c, n in top_sorted)
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else:
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top_str = "-"
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hour_label = f"{hour:02d}:00"
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table.add_row(hour_label, str(len(cmds)), top_str[:58])
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console.print(table)
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def _analyze_daily_patterns(console: Console, entries: list) -> None:
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"""Analyze commands run at similar times daily."""
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daily_patterns = defaultdict(list)
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for entry in entries:
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hour = entry.timestamp.hour
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key = (entry.timestamp.weekday(), hour)
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daily_patterns[key].append(entry.command)
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console.print("\n[bold cyan]Daily Time Patterns[/bold cyan]")
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day_names = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
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patterns_found = []
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for (weekday, hour), cmds in daily_patterns.items():
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if len(cmds) >= 2:
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top = defaultdict(int)
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for cmd in cmds:
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top[cmd] += 1
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top_sorted = sorted(top.items(), key=lambda x: x[1], reverse=True)[:3]
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patterns_found.append({
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"day": day_names[weekday],
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"hour": hour,
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"count": len(cmds),
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"top": top_sorted,
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})
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if not patterns_found:
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console.print("[yellow]No significant daily patterns found.[/yellow]")
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return
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patterns_found.sort(key=lambda x: x["count"], reverse=True)
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table = Table(show_header=True, header_style="bold magenta")
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table.add_column("Day", width=8)
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table.add_column("Hour", width=8)
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table.add_column("Times", width=8)
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table.add_column("Common Commands", width=60)
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for p in patterns_found[:20]:
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top_str = ", ".join(f"{c}({n})" for c, n in p["top"])
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table.add_row(
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p["day"],
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f"{p['hour']:02d}:00",
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str(p["count"]),
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top_str[:58],
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)
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console.print(table)
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def _analyze_weekly_patterns(console: Console, entries: list) -> None:
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"""Analyze commands run at similar times weekly."""
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weekly_patterns = defaultdict(list)
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for entry in entries:
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key = (
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entry.timestamp.isocalendar().year,
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entry.timestamp.isocalendar().week,
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entry.timestamp.weekday(),
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entry.timestamp.hour,
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)
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weekly_patterns[key].append(entry.command)
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console.print("\n[bold cyan]Weekly Time Patterns[/bold cyan]")
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day_names = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
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patterns_found = []
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for key, cmds in weekly_patterns.items():
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year, week, weekday, hour = key
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if len(cmds) >= 2:
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top = defaultdict(int)
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for cmd in cmds:
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top[cmd] += 1
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top_sorted = sorted(top.items(), key=lambda x: x[1], reverse=True)[:3]
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patterns_found.append({
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"week": week,
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"day": day_names[weekday],
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"hour": hour,
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"count": len(cmds),
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"top": top_sorted,
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})
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if not patterns_found:
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console.print("[yellow]No significant weekly patterns found.[/yellow]")
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return
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patterns_found.sort(key=lambda x: x["count"], reverse=True)
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table = Table(show_header=True, header_style="bold magenta")
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table.add_column("Week", width=8)
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table.add_column("Day", width=8)
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table.add_column("Hour", width=8)
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table.add_column("Times", width=8)
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table.add_column("Common Commands", width=50)
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for p in patterns_found[:20]:
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top_str = ", ".join(f"{c}({n})" for c, n in p["top"])
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table.add_row(
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str(p["week"]),
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p["day"],
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f"{p['hour']:02d}:00",
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str(p["count"]),
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top_str[:48],
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)
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console.print(table)
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