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get_milb_schedule.py
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get_milb_schedule.py
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import json
import os
import time
from datetime import datetime
from urllib.request import urlopen
import pandas as pd
import requests
from tqdm import tqdm
def get_alt_schedule(season: int, level: str = "a"):
"""
DO NOT CALL DIRECTLY!
Only intended to be called when getting
the 2010, 2013, and/or 2014 single A schedules
due to a HTTP 500 error that pops up when
attempting to use `get_milb_schedule()` in this specific edge case.
"""
schedule_df = pd.DataFrame()
row_df = pd.DataFrame()
if season >= 2010 or season <= 2014:
pass
else:
raise ValueError(
"See function description. "
+ "Do not call this function unless you want 2010, 2013, "
+ "and/or 2014 single A schedules."
)
for i in range(4, 11):
if i < 9:
first_month = f"0{i}"
last_month = f"0{i+1}"
elif i == 9:
first_month = "9"
last_month = "10"
elif i > 9:
first_month = f"{i}"
last_month = f"{i+1}"
if level.lower() == "a":
url = (
"https://bdfed.stitch.mlbinfra.com/bdfed/"
+ "transform-milb-schedule?stitch_env=prod&sortTemplate=5"
+ f"&sportId=14&startDate={season}-{first_month}-01"
+ f"&endDate={season}-{last_month}-01&gameType=E&&gameType=S"
+ "&&gameType=R&&gameType=F&&gameType=D&&gameType=L"
+ "&&gameType=W&&gameType=A&&gameType=C&language=en"
+ "&leagueId=&contextTeamId=milb&teamId="
)
print(
"\nGetting the Single-A schedule for " +
f"{first_month}/{season}."
)
elif level.lower() == "a+":
url = (
"https://bdfed.stitch.mlbinfra.com/bdfed/"
+ "transform-milb-schedule?stitch_env=prod&sortTemplate=5"
+ f"&sportId=13&startDate={season}-{first_month}-01"
+ f"&endDate={season}-{last_month}-01&gameType=E"
+ "&&gameType=S&&gameType=R&&gameType=F&&gameType=D"
+ "&&gameType=L&&gameType=W&&gameType=A&&gameType=C"
+ "&language=en&leagueId=&contextTeamId=milb&teamId="
)
print(f"\nGetting the High-A schedule for {first_month}/{season}.")
elif level.lower() == "aa":
print(
"\nGetting the Double-A schedule for " +
f"{first_month}/{season}."
)
url = (
"https://bdfed.stitch.mlbinfra.com/bdfed/"
+ "transform-milb-schedule?stitch_env=prod&sortTemplate=5"
+ f"&sportId=12&startDate={season}-{first_month}-01"
+ f"&endDate={season}-{last_month}-01&gameType=E&&gameType=S"
+ "&&gameType=R&&gameType=F"
+ "&&gameType=D&&gameType=L&&gameType=W"
+ "&&gameType=A&&gameType=C&language=en"
+ "&leagueId=&contextTeamId=milb&teamId="
)
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) "
+ "AppleWebKit/537.36 (KHTML, like Gecko) "
+ "Chrome/83.0.4103.97 Safari/537.36"
}
response = requests.get(url, headers=headers)
time.sleep(2)
if response.status_code == 200:
pass
elif response.status_code == 403:
raise ConnectionRefusedError(
"The MiLB API is actively refusing your connection."
+ "\nHTTP Error Code:\t403"
)
else:
raise ConnectionError(
"Could not establish a connection to the MiLB API."
+ f"\nHTTP Error Code:\t{response.code}"
)
json_data = json.loads(response.text)
for d in tqdm(json_data["dates"]):
game_date = d["date"]
game_year, game_month, game_day = str(game_date).split("-")
game_year = int(game_year)
game_month = int(game_month)
game_day = int(game_day)
for i in d["games"]:
game_id = int(i["gamePk"])
game_link = i["link"]
game_type = i["gameType"]
try:
game_season = int(i["season"])
except Exception:
game_season = float(i["season"])
game_season = int(game_season)
game_date = i["gameDate"]
game_official_date = i["officialDate"]
try:
is_tie = i["isTie"]
except Exception:
is_tie = False
try:
game_number = i["seriesStatus"]["gameNumber"]
except Exception:
game_number = None
try:
games_in_series = i["gamesInSeries"]
except Exception:
games_in_series = None
try:
series_game_number = i["seriesGameNumber"]
except Exception:
series_game_number = None
public_facing = i["publicFacing"]
double_header = i["doubleHeader"]
gameday_type = i["gamedayType"]
tiebreaker = i["tiebreaker"]
calendar_event_id = i["calendarEventID"]
day_night = i["dayNight"]
scheduled_innings = i["scheduledInnings"]
reverse_home_away_status = i["reverseHomeAwayStatus"]
try:
inning_break_length = i["inningBreakLength"]
except Exception:
inning_break_length = None
series_description = i["seriesDescription"]
record_source = i["recordSource"]
try:
if_necessary = i["ifNecessary"]
except Exception:
if_necessary = None
try:
if_necessary_description = i["ifNecessaryDescription"]
except Exception:
if_necessary_description = None
try:
game_description = i["description"]
except Exception:
game_description = None
status_abstract_game_state = i["status"]["abstractGameState"]
status_coded_game_state = i["status"]["codedGameState"]
status_detailed_state = i["status"]["detailedState"]
status_status_code = i["status"]["statusCode"]
status_start_time_tbd = i["status"]["startTimeTBD"]
status_abstract_game_code = i["status"]["abstractGameCode"]
try:
teams_away_score = i["teams"]["away"]["score"]
except Exception:
teams_away_score = None
try:
teams_away_is_winner = i["teams"]["away"]["isWinner"]
except Exception:
teams_away_is_winner = None
teams_away_spit_squad = i["teams"]["away"]["splitSquad"]
try:
teams_away_series_number = i[
"teams"]["away"]["seriesNumber"]
except Exception:
teams_away_series_number = None
teams_away_league_record_wins = int(
i["teams"]["away"]["leagueRecord"]["wins"]
)
teams_away_league_record_losses = int(
i["teams"]["away"]["leagueRecord"]["losses"]
)
teams_away_league_record_pct = float(
i["teams"]["away"]["leagueRecord"]["pct"]
)
teams_away_team_id = i["teams"]["away"]["team"]["id"]
teams_away_team_name = i["teams"]["away"]["team"]["name"]
teams_away_team_link = i["teams"]["away"]["team"]["link"]
try:
teams_home_score = i["teams"]["home"]["score"]
except Exception:
teams_home_score = None
try:
teams_home_is_winner = i["teams"]["home"]["isWinner"]
except Exception:
teams_home_is_winner = None
teams_home_spit_squad = i["teams"]["home"]["splitSquad"]
try:
teams_home_series_number = i[
"teams"]["home"]["seriesNumber"]
except Exception:
teams_home_series_number = None
teams_home_league_record_wins = int(
i["teams"]["home"]["leagueRecord"]["wins"]
)
teams_home_league_record_losses = int(
i["teams"]["home"]["leagueRecord"]["losses"]
)
teams_home_league_record_pct = float(
i["teams"]["home"]["leagueRecord"]["pct"]
)
teams_home_team_id = i["teams"]["home"]["team"]["id"]
teams_home_team_name = i["teams"]["home"]["team"]["name"]
teams_home_team_link = i["teams"]["home"]["team"]["link"]
league_level_id = int(
i["teams"]["home"]["team"]["sport"]["id"]
)
league_level_link = i["teams"]["home"]["team"]["sport"]["link"]
league_level_name = i["teams"]["home"]["team"]["sport"]["name"]
row_df = pd.DataFrame(
{
"game_pk": game_id,
"link": game_link,
"game_type": game_type,
"season": game_season,
"game_date": game_date, # 2019-04-04T22:30:00Z
"official_date": game_official_date,
"is_tie": is_tie,
"game_number": game_number,
"public_facing": public_facing,
"double_header": double_header,
"gameday_type": gameday_type,
"tiebreaker": tiebreaker,
"calendar_event_id": calendar_event_id,
"season_display": game_season,
"day_night": day_night,
"scheduled_innings": scheduled_innings,
"reverse_home_away_status": reverse_home_away_status,
"inning_break_length": inning_break_length,
"games_in_series": games_in_series,
"series_game_number": series_game_number,
"series_description": series_description,
"record_source": record_source,
"if_necessary": if_necessary,
"if_necessary_description": if_necessary_description,
"description": game_description, # at Spectrum Field
"status_abstract_game_state":
status_abstract_game_state,
"status_coded_game_state": status_coded_game_state,
"status_detailed_state": status_detailed_state,
"status_status_code": status_status_code,
"status_start_time_tbd": status_start_time_tbd,
"status_abstract_game_code": status_abstract_game_code,
"teams_away_score": teams_away_score,
"teams_away_is_winner": teams_away_is_winner,
"teams_away_spit_squad": teams_away_spit_squad,
"teams_away_series_number": teams_away_series_number,
"teams_away_league_record_wins":
teams_away_league_record_wins,
"teams_away_league_record_losses":
teams_away_league_record_losses,
"teams_away_league_record_pct":
teams_away_league_record_pct,
"teams_away_team_id": teams_away_team_id,
"teams_away_team_name": teams_away_team_name,
# /api/v1/teams/566
"teams_away_team_link": teams_away_team_link,
"teams_home_score": teams_home_score,
"teams_home_is_winner": teams_home_is_winner,
"teams_home_spit_squad": teams_home_spit_squad,
"teams_home_series_number": teams_home_series_number,
"teams_home_league_record_wins":
teams_home_league_record_wins,
"teams_home_league_record_losses":
teams_home_league_record_losses,
"teams_home_league_record_pct":
teams_home_league_record_pct,
"teams_home_team_id": teams_home_team_id,
"teams_home_team_name": teams_home_team_name,
# /api/v1/teams/566
"teams_home_team_link": teams_home_team_link,
"game_year": game_year,
"game_month": game_month,
"game_day": game_day,
"league_level_id": league_level_id,
"league_level_link": league_level_link,
"league_level_name": league_level_name,
},
index=[0],
)
schedule_df = pd.concat(
[schedule_df, row_df], ignore_index=True
)
del row_df
del (
game_id,
game_link,
game_type,
game_season,
game_date,
game_official_date,
is_tie,
public_facing,
double_header,
gameday_type,
tiebreaker,
calendar_event_id,
day_night,
scheduled_innings,
reverse_home_away_status,
inning_break_length,
games_in_series,
series_game_number,
series_description,
record_source,
if_necessary,
if_necessary_description,
game_description,
status_abstract_game_state,
status_coded_game_state,
status_detailed_state,
status_status_code,
status_start_time_tbd,
status_abstract_game_code,
teams_away_score,
teams_away_is_winner,
teams_away_spit_squad,
teams_away_series_number,
teams_away_league_record_wins,
teams_away_league_record_losses,
teams_away_league_record_pct,
teams_away_team_id,
teams_away_team_name,
teams_home_score,
teams_home_is_winner,
teams_home_spit_squad,
teams_home_series_number,
teams_home_league_record_wins,
teams_home_league_record_losses,
teams_home_league_record_pct,
teams_home_team_id,
teams_home_team_name,
league_level_id,
league_level_link,
league_level_name,
)
return schedule_df
def get_milb_schedule(
season: int, level="AAA", cache_data=False, cache_dir=""
):
"""
Gets and parses a list of MiLB games that happened between two dates.
Parameters
----------
`season` (int, mandatory):
The season you want MiLB schedule info from.
`level` (str, semi-optional) = `AAA`:
The MiLB level you want schedule info from.
The following inputs work for each level, regardless of case:
- All Levels = 'all'
- AAA = 'triple-a', 'triple a', 'aaa'
- AA = 'double-a', 'double a', 'aa'
- A, A+, A- = 'single-a', 'single a', 'a'
- Rookie ball (any league) = 'rk', 'rok', 'rookie'
`cache_data`: (bool, optional) = `False`:
Optional boolean flag.
If set to `True`, data downloaded by this function will be cached to
a folder named `./milb/`.
This folder will either be located in the user's home directory,
or in a existing directory
specified by the optional argument `cache_dir`.
`cache_dir`: (str, optional) = `""`:
Optional string. If not set to `""` or `None`,
this will be the directory used
to cache data if `cache_data` is set to `True`.
This directory must exist prior to running this function!
Returns
----------
"""
if level.lower() == "a" and season == 2010:
df = get_alt_schedule(2010)
return df
if level.lower() == "a" and season == 2013:
df = get_alt_schedule(2013)
return df
elif level.lower() == "a" and season == 2014:
df = get_alt_schedule(2014)
return df
elif level.lower() == "a+" and season == 2011:
df = get_alt_schedule(2011, "a+")
return df
elif level.lower() == "aa" and season == 2010:
df = get_alt_schedule(2010, "aa")
return df
if cache_data is True and (cache_dir == "" or cache_dir is None):
home_dir = os.path.expanduser("~")
try:
os.mkdir(f"{home_dir}/.milb/")
except Exception:
print("Cached directory already exists.")
try:
os.mkdir(f"{home_dir}/.milb/schedule/")
except Exception:
print(
"Additional cached directories "
+ "have been previously created and located."
)
elif cache_data is True and (cache_dir != "" or cache_dir is not None):
try:
os.mkdir(f"{cache_dir}/.milb/")
except Exception:
print("Cached directory already exists.")
try:
os.mkdir(f"{cache_dir}/.milb/schedule/")
except Exception:
print(
"Additional cached directories "
+ "have been previously created and located."
)
# season = 2023
schedule_df = pd.DataFrame()
row_df = pd.DataFrame()
if cache_data is True and (cache_dir == "" or cache_dir is None):
try:
with open(f"{home_dir}/.milb/schedule/{season}.json", "r") as f:
json_string = f.read()
json_data = json.loads(json_string)
del json_string
except Exception:
url = "https://statsapi.mlb.com/api/v1/schedule?lang=en" +\
"&sportId=11&sportID=12&sportID=13&sportID=14&sportID=15" +\
"&sportID=16&hydrate=team(venue(timezone)),venue(timezone)," +\
"game(seriesStatus,seriesSummary," +\
"tickets,promotions,sponsorships," +\
"content(summary,media(epg))),seriesStatus,seriesSummary," +\
f"linescore&season={season}&eventTypes=primary" +\
"&scheduleTypes=games,events,xref"
response = urlopen(url)
time.sleep(2)
if response.code == 200:
pass
elif response.code == 403:
raise ConnectionRefusedError(
"The MiLB API is actively refusing your connection."
+ "\nHTTP Error Code:\t403"
)
else:
raise ConnectionError(
"Could not establish a connection to the MiLB API."
+ f"\nHTTP Error Code:\t{response.code}"
)
json_data = json.loads(response.read())
with open(f"{home_dir}/.milb/schedule/{season}.json", "w+") as f:
f.write(json.dumps(json_data, indent=2))
elif cache_data is True and (cache_dir != "" or cache_dir is not None):
try:
with open(f"{cache_data}/.milb/schedule/{season}.json", "r") as f:
json_string = f.read()
json_data = json.loads(json_string)
del json_string
except Exception:
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=11&sportID=12&sportID=13&sportID=14" +\
"&sportID=15&sportID=16&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&&eventTypes=primary&scheduleTypes=games,events,xref"
response = urlopen(url)
time.sleep(2)
if response.code == 200:
pass
elif response.code == 403:
raise ConnectionRefusedError(
"The MiLB API is actively refusing your connection."
+ "\nHTTP Error Code:\t403"
)
else:
raise ConnectionError(
"Could not establish a connection to the MiLB API."
+ f"\nHTTP Error Code:\t{response.code}"
)
json_data = json.loads(response.read())
with open(f"{cache_data}/.milb/schedule/{season}.json", "w+") as f:
f.write(json.dumps(json_data, indent=2))
else:
if level.lower() == "all":
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=11&sportID=12&sportID=13&sportID=14" +\
"&sportID=15&sportID=16&sportID=17&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "aaa")
or (level.lower() == "triple-a")
or (level.lower() == "triple a")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=11&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "aa")
or (level.lower() == "double-a")
or (level.lower() == "double a")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=12&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary," +\
"tickets,promotions,sponsorships," +\
"content(summary,media(epg))),seriesStatus,seriesSummary," +\
f"linescore&season={season}&eventTypes=primary" +\
"&scheduleTypes=games,events,xref"
elif (
(level.lower() == "a+")
or (level.lower() == "high-a")
or (level.lower() == "high a")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=13&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "a")
or (level.lower() == "single-a")
or (level.lower() == "single a")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=14&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "a-")
or (level.lower() == "short-a")
or (level.lower() == "short a")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=15&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "rk")
or (level.lower() == "rok")
or (level.lower() == "rookie")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=16&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
elif (
(level.lower() == "win")
or (level.lower() == "winter")
):
url = "https://statsapi.mlb.com/api/v1/schedule" +\
"?lang=en&sportId=17&hydrate=team(venue(timezone))," +\
"venue(timezone),game(seriesStatus,seriesSummary,tickets," +\
"promotions,sponsorships,content(summary,media(epg)))," +\
f"seriesStatus,seriesSummary,linescore&season={season}" +\
"&eventTypes=primary&scheduleTypes=games,events,xref"
else:
raise ValueError(f"Unhandled MiLB level:\n\t{level}")
# url = f""
response = urlopen(url)
time.sleep(2)
if response.code == 200:
pass
elif response.code == 403:
raise ConnectionRefusedError(
"The MiLB API is actively refusing your connection."
+ "\nHTTP Error Code:\t403"
)
else:
raise ConnectionError(
"Could not establish a connection to the MiLB API."
+ f"\nHTTP Error Code:\t{response.code}"
)
json_data = json.loads(response.read())
# with open('test.json', 'w+') as f:
# f.write(json.dumps(json_data, indent=2))
for d in tqdm(json_data["dates"]):
game_date = d["date"]
game_year, game_month, game_day = str(game_date).split("-")
game_year = int(game_year)
game_month = int(game_month)
game_day = int(game_day)
for i in d["games"]:
game_id = int(i["gamePk"])
game_link = i["link"]
game_type = i["gameType"]
try:
game_season = int(i["season"])
except Exception:
game_season = float(i["season"])
game_season = int(game_season)
game_date = i["gameDate"]
game_official_date = i["officialDate"]
try:
is_tie = i["isTie"]
except Exception:
is_tie = False
try:
game_number = i["seriesStatus"]["gameNumber"]
except Exception:
game_number = None
try:
games_in_series = i["gamesInSeries"]
except Exception:
games_in_series = None
try:
series_game_number = i["seriesGameNumber"]
except Exception:
series_game_number = None
public_facing = i["publicFacing"]
double_header = i["doubleHeader"]
gameday_type = i["gamedayType"]
tiebreaker = i["tiebreaker"]
calendar_event_id = i["calendarEventID"]
day_night = i["dayNight"]
scheduled_innings = i["scheduledInnings"]
reverse_home_away_status = i["reverseHomeAwayStatus"]
try:
inning_break_length = i["inningBreakLength"]
except Exception:
inning_break_length = None
series_description = i["seriesDescription"]
record_source = i["recordSource"]
try:
if_necessary = i["ifNecessary"]
except Exception:
if_necessary = None
try:
if_necessary_description = i["ifNecessaryDescription"]
except Exception:
if_necessary_description = None
try:
game_description = i["description"]
except Exception:
game_description = None
status_abstract_game_state = i["status"]["abstractGameState"]
status_coded_game_state = i["status"]["codedGameState"]
status_detailed_state = i["status"]["detailedState"]
status_status_code = i["status"]["statusCode"]
status_start_time_tbd = i["status"]["startTimeTBD"]
status_abstract_game_code = i["status"]["abstractGameCode"]
try:
teams_away_score = i["teams"]["away"]["score"]
except Exception:
teams_away_score = None
try:
teams_away_is_winner = i["teams"]["away"]["isWinner"]
except Exception:
teams_away_is_winner = None
teams_away_spit_squad = i["teams"]["away"]["splitSquad"]
try:
teams_away_series_number = i["teams"]["away"]["seriesNumber"]
except Exception:
teams_away_series_number = None
teams_away_league_record_wins = int(
i["teams"]["away"]["leagueRecord"]["wins"]
)
teams_away_league_record_losses = int(
i["teams"]["away"]["leagueRecord"]["losses"]
)
teams_away_league_record_pct = float(
i["teams"]["away"]["leagueRecord"]["pct"]
)
teams_away_team_id = i["teams"]["away"]["team"]["id"]
teams_away_team_name = i["teams"]["away"]["team"]["name"]
teams_away_team_link = i["teams"]["away"]["team"]["link"]
try:
teams_home_score = i["teams"]["home"]["score"]
except Exception:
teams_home_score = None
try:
teams_home_is_winner = i["teams"]["home"]["isWinner"]
except Exception:
teams_home_is_winner = None
teams_home_spit_squad = i["teams"]["home"]["splitSquad"]
try:
teams_home_series_number = i["teams"]["home"]["seriesNumber"]
except Exception:
teams_home_series_number = None
teams_home_league_record_wins = int(
i["teams"]["home"]["leagueRecord"]["wins"]
)
teams_home_league_record_losses = int(
i["teams"]["home"]["leagueRecord"]["losses"]
)
teams_home_league_record_pct = float(
i["teams"]["home"]["leagueRecord"]["pct"]
)
teams_home_team_id = i["teams"]["home"]["team"]["id"]
teams_home_team_name = i["teams"]["home"]["team"]["name"]
teams_home_team_link = i["teams"]["home"]["team"]["link"]
league_level_id = int(i["teams"]["home"]["team"]["sport"]["id"])
league_level_link = i["teams"]["home"]["team"]["sport"]["link"]
league_level_name = i["teams"]["home"]["team"]["sport"]["name"]
row_df = pd.DataFrame(
{
"game_pk": game_id,
"link": game_link,
"game_type": game_type,
"season": game_season,
"game_date": game_date, # 2019-04-04T22:30:00Z
"official_date": game_official_date,
"is_tie": is_tie,
"game_number": game_number,
"public_facing": public_facing,
"double_header": double_header,
"gameday_type": gameday_type,
"tiebreaker": tiebreaker,
"calendar_event_id": calendar_event_id,
"season_display": game_season,
"day_night": day_night,
"scheduled_innings": scheduled_innings,
"reverse_home_away_status": reverse_home_away_status,
"inning_break_length": inning_break_length,
"games_in_series": games_in_series,
"series_game_number": series_game_number,
"series_description": series_description,
"record_source": record_source,
"if_necessary": if_necessary,
"if_necessary_description": if_necessary_description,
"description": game_description, # at Spectrum Field
"status_abstract_game_state": status_abstract_game_state,
"status_coded_game_state": status_coded_game_state,
"status_detailed_state": status_detailed_state,
"status_status_code": status_status_code,
"status_start_time_tbd": status_start_time_tbd,
"status_abstract_game_code": status_abstract_game_code,
"teams_away_score": teams_away_score,
"teams_away_is_winner": teams_away_is_winner,
"teams_away_spit_squad": teams_away_spit_squad,
"teams_away_series_number": teams_away_series_number,
"teams_away_league_record_wins":
teams_away_league_record_wins,
"teams_away_league_record_losses":
teams_away_league_record_losses,
"teams_away_league_record_pct":
teams_away_league_record_pct,
"teams_away_team_id": teams_away_team_id,
"teams_away_team_name": teams_away_team_name,
# /api/v1/teams/566
"teams_away_team_link": teams_away_team_link,
"teams_home_score": teams_home_score,
"teams_home_is_winner": teams_home_is_winner,
"teams_home_spit_squad": teams_home_spit_squad,
"teams_home_series_number": teams_home_series_number,
"teams_home_league_record_wins":
teams_home_league_record_wins,
"teams_home_league_record_losses":
teams_home_league_record_losses,
"teams_home_league_record_pct":
teams_home_league_record_pct,
"teams_home_team_id": teams_home_team_id,
"teams_home_team_name": teams_home_team_name,
# /api/v1/teams/566
"teams_home_team_link": teams_home_team_link,
"game_year": game_year,
"game_month": game_month,
"game_day": game_day,
"league_level_id": league_level_id,
"league_level_link": league_level_link,
"league_level_name": league_level_name,
},
index=[0],
)
schedule_df = pd.concat([schedule_df, row_df], ignore_index=True)
del row_df
del (
game_id,
game_link,
game_type,
game_season,
game_date,
game_official_date,
is_tie,
public_facing,
double_header,
gameday_type,
tiebreaker,
calendar_event_id,
day_night,
scheduled_innings,
reverse_home_away_status,
inning_break_length,
games_in_series,
series_game_number,
series_description,
record_source,
if_necessary,
if_necessary_description,
game_description,
status_abstract_game_state,
status_coded_game_state,
status_detailed_state,
status_status_code,
status_start_time_tbd,
status_abstract_game_code,
teams_away_score,
teams_away_is_winner,
teams_away_spit_squad,
teams_away_series_number,
teams_away_league_record_wins,
teams_away_league_record_losses,
teams_away_league_record_pct,
teams_away_team_id,
teams_away_team_name,
teams_home_score,
teams_home_is_winner,
teams_home_spit_squad,
teams_home_series_number,
teams_home_league_record_wins,
teams_home_league_record_losses,
teams_home_league_record_pct,
teams_home_team_id,
teams_home_team_name,
league_level_id,
league_level_link,
league_level_name,
)
return schedule_df
def load_milb_schedule(
season: int, level="AAA", cache_data=False, cache_dir=""
):
"""
Loads a pre-compiled a list of MiLB games that happened between two dates.
Parameters
----------
`season` (int, mandatory):
The season you want MiLB schedule info from.
`level` (str, semi-optional) = `AAA`:
The MiLB level you want schedule info from.
The following inputs work for each level, regardless of case:
- All Levels = 'all'
- AAA = 'triple-a', 'triple a', 'aaa'
- AA = 'double-a', 'double a', 'aa'
- A, A+, A- = 'single-a', 'single a', 'a'
- Rookie ball (any league) = 'rk', 'rok', 'rookie'
"""
if level.lower() == "a" and season == 2010:
df = get_alt_schedule(2010)
return df
if level.lower() == "a" and season == 2013:
df = get_alt_schedule(2013)
return df
elif level.lower() == "a" and season == 2014:
df = get_alt_schedule(2014)
return df
elif level.lower() == "a+" and season == 2011:
df = get_alt_schedule(2011, "a+")
return df
elif level.lower() == "aa" and season == 2010:
df = get_alt_schedule(2010, "aa")
return df
if level.lower() == "aaa":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_aaa_schedule.csv"
df = pd.read_csv(url)
return df
elif level.lower() == "aa":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_aa_schedule.csv"
df = pd.read_csv(url)
return df
elif level.lower() == "a+":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_a+_schedule.csv"
df = pd.read_csv(url)
return df
elif level.lower() == "a":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_a_schedule.csv"
df = pd.read_csv(url)
return df
elif level.lower() == "rk":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_rookie_schedule.csv"
df = pd.read_csv(url)
return df
elif level.lower() == "win":
url = "https://github.com/armstjc/milb-data-repository/releases/" +\
f"download/schedule/{season}_winter_schedule.csv"
df = pd.read_csv(url)
return df
if __name__ == "__main__":
now = datetime.now()