def test_scrape_schedule():
"""Test to see if successfully get the correct number of games between two dates"""
assert len(json_schedule.scrape_schedule("2017-08-01", "2017-09-01")) == 0
assert len(json_schedule.scrape_schedule("2017-09-01",
"2017-11-15")) == 277
assert len(
json_schedule.scrape_schedule("2017-09-01",
"2017-11-15",
preseason="True")) == 385
def get_games(self):
"""
Get initial game info -> Called with object creation. Includes: players, espn_ids, standard game info
:return: Dict - LiveGame objects for all games today
"""
game_objs = []
# Get the initial schedule & espn game ids just in case
games = json_schedule.scrape_schedule(
self.date, self.date, live=True, preseason=self.preseason
)
games = self.get_espn_ids(games)
# Only keep the games we want if the user specified games
if self.user_game_ids:
games = [game for game in games if game["game_id"] in self.user_game_ids]
# Get rosters for each game
for game in games:
game_objs.append(
LiveGame(
game["game_id"],
game["start_time"],
game["home_team"],
game["away_team"],
game["status"],
game["espn_id"],
self.date,
self.if_scrape_shifts,
)
)
return game_objs
def scrape_date_range(from_date, to_date, if_scrape_shifts, data_format='csv', preseason=False, rescrape=False,
docs_dir=False):
"""
Scrape games in given date range
:param from_date: date you want to scrape from
:param to_date: date you want to scrape to
:param if_scrape_shifts: Boolean indicating whether to also scrape shifts
:param data_format: format you want data in - csv or pandas (csv is default)
:param preseason: Boolean indicating whether to include preseason games (default if False)
This is may or may not work!!! I don't give a shit.
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir. (def. = None)
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping. When True it'll refer to (or if needed create) such a repository in the home
directory. When provided a string it'll try to use that. Here it must be a valid directory otheriwse
it won't work (I won't make it for you). When False the files won't be saved.
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
shared.check_valid_dates(from_date, to_date)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
games = json_schedule.scrape_schedule(from_date, to_date, preseason)
pbp_df, shifts_df = scrape_list_of_games(games, if_scrape_shifts)
if data_format.lower() == 'csv':
shared.to_csv(from_date + '--' + to_date, pbp_df, "nhl", "pbp")
shared.to_csv(from_date + '--' + to_date, shifts_df, "nhl", "shifts")
else:
return {"pbp": pbp_df, "shifts": shifts_df} if if_scrape_shifts else {"pbp": pbp_df}
def scrape_schedule(from_date, to_date, data_format='pandas', rescrape=False, docs_dir=False):
"""
Scrape the games schedule in a given range.
:param from_date: date you want to scrape from
:param to_date: date you want to scrape to
:param data_format: format you want data in - csv or pandas (pandas is default)
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir. (def. = None)
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping. When True it'll refer to (or if needed create) such a repository in the home
directory. When provided a string it'll try to use that. Here it must be a valid directory otheriwse
it won't work (I won't make it for you). When False the files won't be saved.
:return: DataFrame of None
"""
cols = ["game_id", "date", "venue", "home_team", "away_team", "start_time", "home_score", "away_score", "status"]
# First check if the inputs are good
shared.check_data_format(data_format)
shared.check_valid_dates(from_date, to_date)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
print("Scraping the schedule between {} and {}".format(from_date, to_date))
# live = True allows us to scrape games that aren't final
sched = json_schedule.scrape_schedule(from_date, to_date, preseason=True, not_over=True)
sched_df = pd.DataFrame(sched, columns=cols)
if data_format.lower() == 'csv':
shared.to_csv(from_date + '--' + to_date, sched_df, "nhl", "schedule")
else:
return sched_df
def scrape_seasons(
seasons,
if_scrape_shifts,
data_format="csv",
preseason=False,
rescrape=False,
docs_dir=False,
):
"""
Given list of seasons it scrapes all the seasons
:param seasons: list of seasons
:param if_scrape_shifts: Boolean indicating whether to also scrape shifts
:param data_format: format you want data in - csv or pandas (csv is default)
:param preseason: Boolean indicating whether to include preseason games (default if False)
This is may or may not work!!! I don't give a shit.
:param rescrape: If you want to rescrape pages already scraped. Only applies if you supply a docs dir.
:param docs_dir: Directory that either contains previously scraped docs or one that you want them to be deposited
in after scraping. When True it'll refer to (or if needed create) such a repository in the home
directory. When provided a string it'll try to use that. Here it must be a valid directory otheriwse
it won't work (I won't make it for you). When False the files won't be saved.
:return: Dictionary with DataFrames and errors or None
"""
# First check if the inputs are good
shared.check_data_format(data_format)
# Check on the docs_dir and re_scrape
shared.add_dir(docs_dir)
shared.if_rescrape(rescrape)
# Holds all seasons scraped (if not csv)
master_pbps, master_shifts = [], []
for season in seasons:
from_date = "-".join([str(season), "9", "1"])
to_date = "-".join([str(season + 1), "7", "1"])
games = json_schedule.scrape_schedule(from_date, to_date, preseason)
pbp_df, shifts_df = scrape_list_of_games(games, if_scrape_shifts)
if data_format.lower() == "csv":
shared.to_csv(
str(season) + str(season + 1), pbp_df, shifts_df, "nhl")
else:
master_pbps.append(pbp_df)
master_shifts.append(shifts_df)
if data_format.lower() == "pandas":
if if_scrape_shifts:
return {
"pbp": pd.concat(master_pbps),
"shifts": pd.concat(master_shifts),
"errors": errors,
}
else:
return {"pbp": pd.concat(master_pbps), "errors": errors}
