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2 Commits
8114498ca1
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dafc04a109
Author | SHA1 | Date |
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Jef Roosens | dafc04a109 | |
Jef Roosens | 56ff5d4cc3 |
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@ -42,7 +42,17 @@ async def main():
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args.club_id, config["DEFAULT"]["weather_api_key"], args.days
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)
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print(res)
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for field_name, start_time, duration, weather_names in res:
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# Very satisfying, create a set & sort it using the original list's index
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pruned_weather_names = sorted(set(weather_names),
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key=lambda x: weather_names.index(x))
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print("{} ({}, {}m): {}".format(
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field_name,
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start_time.strftime("%Y-%m-%d %H:%M"),
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int(duration.total_seconds() // 60),
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" -> ".join(pruned_weather_names)
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))
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if __name__ == "__main__":
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@ -1,6 +1,6 @@
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from tennis import get_time_slots, get_club_address
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from weather import WeatherAPI
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from datetime import timedelta
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from datetime import timedelta, datetime
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import asyncio as aio
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@ -29,11 +29,10 @@ async def get_decent_timeslots(club_id, weather_api_key, days=1):
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weather_forecasts = {
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date_obj: weather_str for date_obj, weather_str, _ in weather_forecasts
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}
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print(weather_forecasts)
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# Filter out non-free timeslots
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timeslots = list(filter(lambda x: x[1] == 0, timeslots))
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print(timeslots)
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# Filter out non-free timeslots or timeslots in the past
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now = datetime.now()
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timeslots = list(filter(lambda x: x[1] == 0 and x[2] > now, timeslots))
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output = []
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@ -13,9 +13,7 @@ def extract_timeslots(tbody, column_headers):
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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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start_time = time.fromisoformat(tr.find("th").text)
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# Iterate over each column
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for td in tr.findAll("td"):
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