95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
import requests
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from bs4 import BeautifulSoup
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from datetime import date, time, timedelta, datetime
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BASE_URL = "https://www.tennisvlaanderen.be/terreinreservatie-dagplanning"
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def extract_timeslots(tbody, column_headers):
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counters = [0] * len(column_headers)
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timeslots = []
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for tr in tbody.findAll("tr"):
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# Determine time for row
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time_str = tr.find("th").text
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hour, minute = map(int, time_str.split(":"))
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start_time = time(hour=hour, minute=minute)
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# Iterate over each column
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for td in tr.findAll("td"):
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# Find first empty counter
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counter_index = next((i for i in range(len(counters)) if counters[i] <= 0), None)
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# this means there's no empty counters atm
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if counter_index is None:
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break
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block_length = int(td["rowspan"])
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counters[counter_index] += block_length
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# By default, a slot is just not available for hire
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code = 2
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length = timedelta(minutes=15 * block_length)
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if td.find("div", class_="reservation-detail free"):
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code = 0
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elif td.find("div", class_="reservation-detail regular-reservation"):
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code = 1
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timeslots.append((column_headers[counter_index], code, start_time, length))
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counters = [i - 1 for i in counters]
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return timeslots
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def extract_calendar(soup: BeautifulSoup, reservation_date):
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reservation_date = reservation_date or date.today()
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reservation_t = soup.find("div", class_="reservation-table")
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# Get court names
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header_trs_txts = reservation_t.find("thead").find("tr").findAll("th")
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court_names = [th.text.strip() for th in header_trs_txts if th.text.strip()]
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# the real stuff
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tbody = reservation_t.find("tbody")
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timeslots = extract_timeslots(tbody, court_names)
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# Here, we convert the timeslots to datetime instead of time
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return [(col, status, datetime.combine(reservation_date, start), duration) for col, status, start, duration in timeslots]
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def get_time_slots(club_id: int, days=1):
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dates = [date.today() + timedelta(days=i) for i in range(days)]
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params = {"clubId": club_id}
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output = []
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for planning_date in dates:
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params["planningDay"] = planning_date.strftime("%d-%m-%Y")
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r = requests.get(BASE_URL, params=params)
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soup = BeautifulSoup(r.content, "html.parser")
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output.extend(extract_calendar(soup, planning_date))
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return output
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def get_club_address(club_id: int):
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r = requests.get(BASE_URL, params={
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"clubId": club_id,
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"tab": "club",
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})
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soup = BeautifulSoup(r.content, "html.parser")
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tab_div = soup.find("div", id="club")
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info_ul = tab_div.find("ul")
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for li in info_ul.findAll("li"):
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if li.find("span", text="Adres (hoofdlocatie)"):
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return li.find("span", class_="list-value").text.strip()
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return None
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