297 lines
8.9 KiB
Python
297 lines
8.9 KiB
Python
"""Agenda data."""
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import asyncio
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import configparser
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import operator
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import os
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import typing
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from datetime import date, datetime, time, timedelta
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import dateutil.tz
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import holidays
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import lxml
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import pytz
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from dateutil.relativedelta import FR, relativedelta
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from . import (
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accommodation,
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birthday,
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calendar,
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conference,
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economist,
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fx,
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gwr,
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markets,
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stock_market,
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subscription,
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sun,
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thespacedevs,
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travel,
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uk_holiday,
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uk_time,
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waste_schedule,
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)
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from .types import Event
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here = dateutil.tz.tzlocal()
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next_us_presidential_election = date(2024, 11, 5)
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xmas_last_posting_dates = {"first": date(2023, 12, 20), "second": date(2023, 12, 18)}
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# deadline to file tax return
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# credit card expiry dates
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# morzine ski lifts
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# chalet availablity calendar
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# starlink visible
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def timezone_transition(
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start_dt: datetime, end_dt: datetime, key: str, tz_name: str
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) -> list[Event]:
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"""Clocks changes."""
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tz = pytz.timezone(tz_name)
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return [
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Event(name=key, date=pytz.utc.localize(t).astimezone(tz))
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for t in tz._utc_transition_times # type: ignore
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if start_dt <= t <= end_dt
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]
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def uk_financial_year_end(input_date: date) -> date:
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"""Next date of the end of the UK financial year, April 5th."""
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# Determine the year of the input date
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year = input_date.year
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# Calculate the UK financial year end date (April 5th)
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uk_financial_year_end = date(year, 4, 5)
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# If the input date is on or after the UK financial year end date,
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# move to the next year
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if input_date > uk_financial_year_end:
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uk_financial_year_end = date(year + 1, 4, 5)
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return uk_financial_year_end
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def uk_financial_year_ends(start_date: date, end_date: date) -> list[Event]:
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"""Generate a list of UK financial year end dates (April 5th) between two dates."""
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# Initialize an empty list to store the financial year ends
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financial_year_ends: list[date] = []
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# Start from the year of the start date
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year = start_date.year
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# Calculate the first possible financial year end date
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financial_year_end = date(year, 4, 5)
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# Loop over the years until we reach the year of the end date
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while financial_year_end < end_date:
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# If the financial year end date is on or after the start date,
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# add it to the list
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if financial_year_end >= start_date:
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financial_year_ends.append(financial_year_end)
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year += 1 # Move to the next year
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financial_year_end = date(year, 4, 5)
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return [Event(name="uk_financial_year_end", date=d) for d in financial_year_ends]
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def get_us_holidays(start_date: date, end_date: date) -> list[Event]:
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"""Date and name of next US holiday."""
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found: list[Event] = []
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for year in range(start_date.year, end_date.year + 1):
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hols = holidays.UnitedStates(years=year)
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found += [
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Event(name="us_holiday", date=hol_date, title=title.replace("'", "’"))
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for hol_date, title in hols.items()
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if start_date < hol_date < end_date
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]
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extra = []
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for e in found:
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if e.title != "Thanksgiving":
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continue
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extra += [
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Event(
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name="us_holiday", date=e.date + timedelta(days=1), title="Black Friday"
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),
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Event(
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name="us_holiday", date=e.date + timedelta(days=4), title="Cyber Monday"
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),
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]
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return found + extra
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def critical_mass(start_date: date, end_date: date) -> list[Event]:
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"""Future dates for Critical Mass."""
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events: list[Event] = []
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current_date = start_date
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t = time(18, 0)
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while current_date < end_date:
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# Calculate the last Friday of the current month
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last_friday = current_date + relativedelta(day=31, weekday=FR(-1))
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events.append(Event(name="critical_mass", date=uk_time(last_friday, t)))
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# Move to the next month
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current_date += relativedelta(months=1)
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return events
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async def waste_collection_events(data_dir: str) -> list[Event]:
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"""Waste colllection events."""
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postcode = "BS48 3HG"
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uprn = "24071046"
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html = await waste_schedule.get_html(data_dir, postcode, uprn)
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root = lxml.html.fromstring(html)
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events = waste_schedule.parse(root)
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return events
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async def bristol_waste_collection_events(
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data_dir: str, start_date: date
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) -> list[Event]:
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"""Waste colllection events."""
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uprn = "358335"
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return await waste_schedule.get_bristol_gov_uk(start_date, data_dir, uprn)
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def combine_holidays(events: list[Event]) -> list[Event]:
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combined: dict[tuple[date, str], Event] = {}
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for e in events:
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assert isinstance(e.title, str) and isinstance(e.date, date)
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event_key = (e.date, e.title)
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combined[event_key] = (
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Event(name="bank_holiday", date=e.date, title=e.title + " (UK & US)")
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if event_key in combined
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else e
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)
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return list(combined.values())
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async def get_data(now: datetime) -> typing.Mapping[str, str | object]:
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"""Get data to display on agenda dashboard."""
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config_filename = os.path.join(os.path.dirname(__file__), "..", "config")
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assert os.path.exists(config_filename)
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config = configparser.ConfigParser()
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config.read(config_filename)
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data_dir = config.get("data", "dir")
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rocket_dir = os.path.join(data_dir, "thespacedevs")
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today = now.date()
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two_weeks_ago = today - timedelta(weeks=2)
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last_week = today - timedelta(weeks=1)
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last_year = today - timedelta(days=365)
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next_year = today + timedelta(days=365)
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minus_365 = now - timedelta(days=365)
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plus_365 = now + timedelta(days=365)
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(
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gbpusd,
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gwr_advance_tickets,
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bank_holiday,
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rockets,
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backwell_bins,
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bristol_bins,
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) = await asyncio.gather(
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fx.get_gbpusd(config),
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gwr.advance_ticket_date(data_dir),
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uk_holiday.bank_holiday_list(last_year, next_year, data_dir),
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thespacedevs.get_launches(rocket_dir, limit=40),
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waste_collection_events(data_dir),
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bristol_waste_collection_events(data_dir, today),
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)
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reply = {
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"now": now,
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"gbpusd": gbpusd,
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"economist": economist.publication_dates(last_year, next_year),
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"next_us_presidential_election": next_us_presidential_election,
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"stock_markets": stock_market.open_and_close(),
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"uk_clock_change": timezone_transition(
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minus_365, plus_365, "uk_clock_change", "Europe/London"
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),
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"us_clock_change": timezone_transition(
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minus_365, plus_365, "us_clock_change", "America/New_York"
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),
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"mothers_day": uk_holiday.get_mothers_day(today),
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"fathers_day": uk_holiday.get_fathers_day(today),
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"uk_financial_year_end": uk_financial_year_end(today),
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"xmas_last_posting_dates": xmas_last_posting_dates,
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"gwr_advance_tickets": gwr_advance_tickets,
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"critical_mass": critical_mass(last_year, next_year),
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"market": (
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markets.windmill_hill(last_year, next_year)
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+ markets.tobacco_factory(last_year, next_year)
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+ markets.nailsea_farmers(last_year, next_year)
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),
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"rockets": rockets,
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}
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skip = {"now", "gbpusd", "rockets", "stock_markets", "xmas_last_posting_dates"}
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events: list[Event] = []
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for key, value in reply.items():
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if key in skip:
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continue
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if isinstance(value, list):
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events += value
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else:
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assert isinstance(value, date)
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event = Event(name=key, date=value)
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events.append(event)
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observer = sun.bristol()
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reply["sunrise"] = sun.sunrise(observer)
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reply["sunset"] = sun.sunset(observer)
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for key, value in xmas_last_posting_dates.items():
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events.append(
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Event(
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name=f"xmas_last_{key}",
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date=value,
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url="https://www.postoffice.co.uk/last-posting-dates",
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)
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)
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events += combine_holidays(bank_holiday + get_us_holidays(last_year, next_year))
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my_data = config["data"]["personal-data"]
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events += birthday.get_birthdays(last_year, os.path.join(my_data, "entities.yaml"))
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events += accommodation.get_events(os.path.join(my_data, "accommodation.yaml"))
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events += travel.all_events(today, config["data"]["personal-data"])
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events += conference.get_list(os.path.join(my_data, "conferences.yaml"))
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events += backwell_bins + bristol_bins
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events += subscription.get_events(os.path.join(my_data, "subscriptions.yaml"))
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next_up_series = Event(
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date=date(2026, 6, 1),
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title="70 Up",
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name="next_up_series",
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)
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events.append(next_up_series)
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events.sort(key=operator.attrgetter("as_datetime"))
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reply["events"] = events
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reply["last_week"] = last_week
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reply["two_weeks_ago"] = two_weeks_ago
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reply["fullcalendar_events"] = calendar.build_events(events)
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return reply
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