505 lines
14 KiB
Python
505 lines
14 KiB
Python
"""Agenda data."""
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import asyncio
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import collections
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import itertools
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import os
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import typing
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from datetime import date, datetime, timedelta
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import dateutil.rrule
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import dateutil.tz
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import flask
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import holidays
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import isodate # type: ignore
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import lxml
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import pytz
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import yaml
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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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domains,
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economist,
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fx,
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gwr,
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hn,
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meetup,
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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_tz,
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waste_schedule,
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)
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from .types import Event, Holiday
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StrDict = dict[str, typing.Any]
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here = dateutil.tz.tzlocal()
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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: datetime, end: 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 <= t <= end
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]
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def us_holidays(start_date: date, end_date: date) -> list[Holiday]:
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"""Get US holidays."""
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found: list[Holiday] = []
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for year in range(start_date.year, end_date.year + 1):
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hols = holidays.country_holidays("US", years=year, language="en")
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found += [
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Holiday(date=hol_date, name=title, country="us")
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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 h in found:
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if h.name != "Thanksgiving":
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continue
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extra += [
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Holiday(date=h.date + timedelta(days=1), name="Black Friday", country="us"),
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Holiday(date=h.date + timedelta(days=4), name="Cyber Monday", country="us"),
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]
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return found + extra
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def get_nyse_holidays(
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start_date: date, end_date: date, us_hols: list[Holiday]
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) -> list[Event]:
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"""NYSE holidays."""
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known_us_hols = {(h.date, h.name) for h in us_hols}
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found: list[Event] = []
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rename = {"Thanksgiving Day": "Thanksgiving"}
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for year in range(start_date.year, end_date.year + 1):
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hols = holidays.financial_holidays("NYSE", years=year)
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found += [
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Event(
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name="holiday",
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date=hol_date,
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title=rename.get(title, title),
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)
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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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found = [hol for hol in found if (hol.date, hol.title) not in known_us_hols]
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for hol in found:
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assert hol.title
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hol.title += " (NYSE)"
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return found
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def get_holidays(country: str, start_date: date, end_date: date) -> list[Holiday]:
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"""Get holidays."""
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found: list[Holiday] = []
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for year in range(start_date.year, end_date.year + 1):
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hols = holidays.country_holidays(country.upper(), years=year, language="en_US")
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found += [
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Holiday(
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date=hol_date,
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name=title,
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country=country.lower(),
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)
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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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return found
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def midnight(d: date) -> datetime:
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"""Convert from date to midnight on that day."""
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return datetime.combine(d, datetime.min.time())
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def dates_from_rrule(
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rrule: str, start: date, end: date
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) -> typing.Sequence[datetime | date]:
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"""Generate events from an RRULE between start_date and end_date."""
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all_day = not any(param in rrule for param in ["BYHOUR", "BYMINUTE", "BYSECOND"])
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return [
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i.date() if all_day else uk_tz.localize(i)
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for i in dateutil.rrule.rrulestr(rrule, dtstart=midnight(start)).between(
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midnight(start), midnight(end)
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)
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]
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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(holidays: list[Holiday]) -> list[Event]:
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"""Combine UK and US holidays with the same date and title."""
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all_countries = {h.country for h in holidays}
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standard_name = {
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(1, 1): "New Year's Day",
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(1, 6): "Epiphany",
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(12, 8): "Immaculate conception",
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(12, 25): "Christmas Day",
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(12, 26): "Boxing Day",
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(5, 1): "Labour Day",
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}
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combined: collections.defaultdict[
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tuple[date, str], set[str]
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] = collections.defaultdict(set)
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for h in holidays:
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assert isinstance(h.name, str) and isinstance(h.date, date)
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event_key = (h.date, standard_name.get((h.date.month, h.date.day), h.name))
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combined[event_key].add(h.country)
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events: list[Event] = []
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for (d, name), countries in combined.items():
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if len(countries) == len(all_countries):
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country_list = ""
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elif len(countries) < len(all_countries) / 2:
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country_list = ", ".join(sorted(country.upper() for country in countries))
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else:
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country_list = "not " + ", ".join(
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sorted(country.upper() for country in all_countries - set(countries))
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)
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e = Event(
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name="holiday",
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date=d,
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title=f"{name} ({country_list})" if country_list else name,
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)
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events.append(e)
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return events
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def get_yaml_event_date_field(item: dict[str, str]) -> str:
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"""Event date field name."""
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return (
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"end_date"
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if item["name"] == "travel_insurance"
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else ("start_date" if "start_date" in item else "date")
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)
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def get_yaml_event_end_date_field(item: dict[str, str]) -> str:
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"""Event date field name."""
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return (
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"end_date"
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if item["name"] == "travel_insurance"
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else ("start_date" if "start_date" in item else "date")
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)
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def read_events_yaml(data_dir: str, start: date, end: date) -> list[Event]:
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"""Read eventes from YAML file."""
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events: list[Event] = []
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for item in yaml.safe_load(open(os.path.join(data_dir, "events.yaml"))):
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duration = (
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isodate.parse_duration(item["duration"]) if "duration" in item else None
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)
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dates = (
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dates_from_rrule(item["rrule"], start, end)
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if "rrule" in item
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else [item[get_yaml_event_date_field(item)]]
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)
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for dt in dates:
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e = Event(
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name=item["name"],
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date=dt,
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end_date=(
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dt + duration
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if duration
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else (
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item.get("end_date")
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if item["name"] != "travel_insurance"
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else None
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)
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),
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title=item.get("title"),
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url=item.get("url"),
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)
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events.append(e)
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return events
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def find_markets_during_stay(
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accommodation_events: list[Event], markets: list[Event]
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) -> list[Event]:
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"""Market events that happen during accommodation stays."""
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overlapping_markets = []
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for market in markets:
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for e in accommodation_events:
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# Check if the market date is within the accommodation dates.
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if e.as_date <= market.as_date <= e.end_as_date:
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overlapping_markets.append(market)
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break # Breaks the inner loop if overlap is found.
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return overlapping_markets
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def find_gaps(events: list[Event], min_gap_days: int = 3) -> list[StrDict]:
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"""Gaps of at least `min_gap_days` between events in a list of events."""
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# Sort events by start date
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gaps: list[tuple[date, date]] = []
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previous_event_end = None
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by_start_date = {
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d: list(on_day)
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for d, on_day in itertools.groupby(events, key=lambda e: e.as_date)
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}
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by_end_date = {
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d: list(on_day)
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for d, on_day in itertools.groupby(events, key=lambda e: e.end_as_date)
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}
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for event in events:
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# Use start date for current event
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start_date = event.as_date
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# If previous event exists, calculate the gap
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if previous_event_end:
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gap_days = (start_date - previous_event_end).days
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if gap_days >= (min_gap_days + 2):
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start_end = (
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previous_event_end + timedelta(days=1),
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start_date - timedelta(days=1),
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)
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gaps.append(start_end)
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# Update previous event end date
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end = event.end_as_date
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if not previous_event_end or end > previous_event_end:
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previous_event_end = end
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return [
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{
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"start": gap_start,
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"end": gap_end,
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"after": by_start_date[gap_end + timedelta(days=1)],
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"before": by_end_date[gap_start - timedelta(days=1)],
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}
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for gap_start, gap_end in gaps
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]
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def busy_event(e: Event) -> bool:
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"""Busy."""
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if e.name not in {
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"event",
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"accommodation",
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"conference",
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"dodainville",
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"transport",
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"meetup",
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}:
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return False
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if e.name == "conference" and not e.going:
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return False
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if not e.title:
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return True
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if e.title == "LHG Run Club" or "Third Thursday Social" in e.title:
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return False
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lc_title = e.title.lower()
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return "rebels" not in lc_title and "south west data social" not in lc_title
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async def get_data(
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now: datetime, config: flask.config.Config
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) -> typing.Mapping[str, str | object]:
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"""Get data to display on agenda dashboard."""
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data_dir = config["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: dict[str, typing.Any] = {
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"now": now,
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"gbpusd": gbpusd,
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"stock_markets": stock_market.open_and_close(),
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"rockets": rockets,
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"gwr_advance_tickets": gwr_advance_tickets,
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}
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my_data = config["PERSONAL_DATA"]
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events = (
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[
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Event(name="mothers_day", date=uk_holiday.get_mothers_day(today)),
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]
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+ timezone_transition(minus_365, plus_365, "uk_clock_change", "Europe/London")
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+ timezone_transition(
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minus_365, plus_365, "us_clock_change", "America/New_York"
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)
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)
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if gwr_advance_tickets:
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events.append(Event(name="gwr_advance_tickets", date=gwr_advance_tickets))
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us_hols = us_holidays(last_year, next_year)
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holidays: list[Holiday] = bank_holiday + us_hols
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for country in (
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"at",
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"be",
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"br",
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"ch",
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"cz",
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"de",
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"dk",
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"ee",
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"es",
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"fi",
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"fr",
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"gr",
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"it",
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"ke",
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"nl",
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"pl",
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):
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holidays += get_holidays(country, last_year, next_year)
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events += get_nyse_holidays(last_year, next_year, us_hols)
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accommodation_events = accommodation.get_events(
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os.path.join(my_data, "accommodation.yaml")
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)
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events += combine_holidays(holidays)
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events += birthday.get_birthdays(last_year, os.path.join(my_data, "entities.yaml"))
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events += accommodation_events
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events += travel.all_events(my_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 += read_events_yaml(my_data, last_year, next_year)
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events += subscription.get_events(os.path.join(my_data, "subscriptions.yaml"))
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events += economist.publication_dates(last_week, next_year)
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events += meetup.get_events(my_data)
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events += hn.whoishiring(last_year, next_year)
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events += domains.renewal_dates(my_data)
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# hide markets that happen while away
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markets = [e for e in events if e.name == "market"]
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going = [e for e in events if e.going]
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overlapping_markets = find_markets_during_stay(
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accommodation_events + going, markets
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)
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for market in overlapping_markets:
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events.remove(market)
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for launch in rockets:
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dt = None
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if launch["net_precision"] == "Day":
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dt = datetime.strptime(launch["net"], "%Y-%m-%dT00:00:00Z").date()
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elif launch["t0_time"]:
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dt = pytz.utc.localize(
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datetime.strptime(launch["net"], "%Y-%m-%dT%H:%M:%SZ")
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)
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if not dt:
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continue
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rocket_name = f'🚀{launch["rocket"]}: {launch["mission_name"] or "[no mission]"}'
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e = Event(name="rocket", date=dt, title=rocket_name)
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events.append(e)
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events += [Event(name="today", date=today)]
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busy_events = [
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e
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for e in sorted(events, key=lambda e: e.as_date)
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if e.as_date > today and e.as_date < next_year and busy_event(e)
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]
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gaps = find_gaps(busy_events)
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events += [
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Event(name="gap", date=gap["start"], end_date=gap["end"]) for gap in gaps
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]
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# Sort events by their datetime; the "today" event is prioritised
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# at the top of the list for today. This is achieved by sorting first by
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# the datetime attribute, and then ensuring that events with the name
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# "today" are ordered before others on the same date.
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events.sort(key=lambda e: (e.as_datetime, e.name != "today"))
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reply["gaps"] = gaps
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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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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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