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implement season data importer #6

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implement season data importer #6

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7986c94
implement season data importer
Chaos02 Mar 4, 2022
3537c1c
also added arenas to list
Chaos02 Mar 4, 2022
fac18a1
forgot to update dataclass...
Chaos02 Mar 4, 2022
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91 changes: 41 additions & 50 deletions overtrack_cv/games/apex/data/_seasons.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,71 +3,62 @@
from typing import Optional


import requests
import pandas as pd
import re

url = 'https://apexlegends.fandom.com/wiki/Season'
html = requests.get(url).content
table_list = pd.read_html(html)
SeasonData = table_list[0]
#print(SeasonData)
#df.to_csv('SeasonData.csv') # cache?


@dataclass
class Season:
index: int
start: float
end: float
has_ranked: bool = True
has_duos: bool = True
has_arenas: bool = True
season_name: Optional[str] = None

@property
def name(self) -> str:
return self.season_name or f"Season {self.index}"


_PDT = datetime.timezone(datetime.timedelta(hours=-7))
_PST = datetime.timezone(datetime.timedelta(hours=-8))
_season_1_start = datetime.datetime.strptime(
# https://twitter.com/PlayApex/status/1107733497450356742
"Mar 19 2019 10:00AM",
"%b %d %Y %I:%M%p",
).replace(tzinfo=_PDT)
_season_2_start = datetime.datetime.strptime(
# https://twitter.com/PlayApex/status/1107733497450356742
"Jul 2 2019 10:00AM",
"%b %d %Y %I:%M%p",
).replace(tzinfo=_PDT)
_season_3_start = 1569956446
_season_4_start = datetime.datetime.strptime("Feb 4 2020 10:00AM", "%b %d %Y %I:%M%p").replace(tzinfo=_PST)
_season_5_start = datetime.datetime.strptime(
# https://twitter.com/ApexLegendNews/status/1257370233628700678
"May 12 2020 10:00AM",
"%b %d %Y %I:%M%p",
).replace(tzinfo=_PDT)
_season_6_start = datetime.datetime.strptime("Aug 18 2020 10:00AM", "%b %d %Y %I:%M%p").replace(tzinfo=_PDT)
_season_7_start = datetime.datetime.strptime("Nov 10 2020 10:00AM", "%b %d %Y %I:%M%p").replace(tzinfo=_PDT)
_season_8_start = datetime.datetime.strptime("Mar 1 2021 10:00AM", "%b %d %Y %I:%M%p").replace(tzinfo=_PDT)
seasons=[None] * len(SeasonData)

for i in range(len(SeasonData)):
# TODO Use loc with column names
SName = str(SeasonData.loc[i][0]).replace('(', ' (')
SDuration = str(SeasonData.loc[i][1])

#got: Feb. 04, 2019 -Mar. 19, 2019(43 days)
#old: "Mar 19 2019 10:00AM",
#oldformat: "%b %d %Y %I:%M%p",
try:
season_start = datetime.datetime.strptime(re.findall('^.*(?= -.*)', SDuration)[0], "%b. %d, %Y").replace(tzinfo=_PDT, hour=10, minute=0)
except ValueError:
season_start = datetime.datetime.strptime(re.findall('^.*(?= -.*)', SDuration)[0], "%b %d, %Y").replace(tzinfo=_PDT, hour=10, minute=0)
try:
season_end = datetime.datetime.strptime(re.findall('(?<= -).*(?=\(.*\))', SDuration)[0], "%b. %d, %Y").replace(tzinfo=_PDT, hour=10, minute=0)
except ValueError:
season_end = datetime.datetime.strptime(re.findall('(?<= -).*(?=\(.*\))', SDuration)[0], "%b %d, %Y").replace(tzinfo=_PDT, hour=10, minute=0)

if i > 2: ranked = True
else: ranked = False
if i > 2: duos = True
else: duos = False
if i > 8: arenas = True
else: arenas = False
seasons[i] = Season(i, season_start, season_end, ranked, duos, arenas, SName)


seasons = [
Season(0, 0, _season_1_start.timestamp(), has_ranked=False),
Season(1, _season_1_start.timestamp(), _season_2_start.timestamp(), has_ranked=False),
Season(2, _season_2_start.timestamp(), _season_3_start),
Season(3, _season_3_start, _season_4_start.timestamp()),
Season(4, _season_4_start.timestamp(), _season_5_start.timestamp()),
Season(5, _season_5_start.timestamp(), _season_6_start.timestamp()),
Season(6, _season_6_start.timestamp(), _season_7_start.timestamp()),
Season(7, _season_7_start.timestamp(), _season_8_start.timestamp()),
Season(8, _season_8_start.timestamp(), float("inf")),
Season(1002, 0, 0, season_name="Season 2 Solos", has_ranked=False),
Season(
1003,
_season_3_start,
_season_4_start.timestamp(),
season_name="Season 3 Duos",
has_ranked=False,
),
Season(
1004,
_season_4_start.timestamp(),
1589302800.0,
season_name="Season 4 Duos",
has_ranked=False,
),
Season(1005, 1589302800.0, 1597766400.0, season_name="Season 5 Duos", has_ranked=False),
Season(1006, 1597726800.0, 1604984400.0, season_name="Season 6 Duos", has_ranked=False),
# Season(2000, _season_3_start, float('inf'), season_name='Scrims', has_ranked=False),
]
current_season = sorted([s for s in seasons if s.index < 100], key=lambda s: s.end)[-1]


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