82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
import requests
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import re
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import datetime
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import pytz
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from datetime import datetime, timedelta
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import csv
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import pandas as pd
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import numpy as np
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from plotly_calplot import calplot
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import plotly
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date_format = "%Y-%m-%d"
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yesterday = datetime.today() - timedelta(days=1)
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yesterday = yesterday.strftime(date_format)
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delay_csv = "delays.csv"
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def get_delay(date_string: str) -> int:
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"""
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Calculates the delay in minutes between the last bus departure time and the target time.
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Args:
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date_string (str): The date in the format 'YYYY-MM-DD'.
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Returns:
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int: The delay in minutes.
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"""
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vehicles = requests.get(
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f"https://bustimes.org/services/632-wigan-bus-station-bus-station/vehicles?date={date_string}").text
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last_joruney = re.findall(
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r'\#journeys\/(\d+)">([\d\:]+)<\/a>\s+<\/td>\s+<td>Chorley Town Centre',
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vehicles,
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)[-1]
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if last_joruney[1] != "23:20" and last_joruney[1] != "22:45":
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print(f"No last bus at 23:20 or 22:45, last bus was at {last_joruney[1]}")
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return 60
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else:
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journey_info = requests.get(
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f"https://bustimes.org/services/75994/journeys/{last_joruney[0]}.json").json()
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station_departure = journey_info["stops"][0]["actual_departure_time"]
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departure_time = datetime.fromisoformat(station_departure.replace("Z", "+00:00")).astimezone(pytz.timezone("UTC"))
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target_time = datetime.strptime(date_string + " " + last_joruney[1], "%Y-%m-%d %H:%M").astimezone(pytz.timezone("Europe/London"))
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return int((departure_time - target_time).total_seconds() / 60)
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def output_csv():
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# Check if the file exists
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try:
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with open(delay_csv, "r") as file:
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reader = csv.reader(file)
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for row in reader:
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if row[0] == yesterday:
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break
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else:
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# Add a new entry for yesterday
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with open(delay_csv, "a", newline="") as file:
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writer = csv.writer(file)
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writer.writerow([yesterday, get_delay(yesterday)])
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except FileNotFoundError:
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# Create a new file and add the entry for yesterday
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with open(delay_csv, "w", newline="") as file:
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writer = csv.writer(file)
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writer.writerow(["Date", "Minutes Late"])
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writer.writerow([yesterday, get_delay(yesterday)])
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def make_plot():
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df = pd.read_csv(delay_csv)
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df["Date"] = pd.to_datetime(df["Date"])
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fig = calplot(df, x="Date", y="Minutes Late", dark_theme=True, colorscale=[(0, "green"), (0.1, "yellow"), (1, "red")])
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fig.write_image("delays.png")
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plotly.offline.plot(fig, filename="delays.html")
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if __name__ == "__main__":
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output_csv()
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make_plot() |