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Updates for 2025 #2

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Updates for 2025 #2

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7c50927
Update for 2025: initial draft schedule
jamesmharvey Dec 11, 2024
28b2b64
run autopep8 on all python files
jamesmharvey Jan 9, 2025
981387d
Update for 2025: Schedule for coaches
jamesmharvey Jan 9, 2025
0fd98e2
Swap Friday night fields
jamesmharvey Jan 13, 2025
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28 changes: 13 additions & 15 deletions fieldpick/analysis.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,13 +23,13 @@
keep_columns = [
'Week_Number',
'Home_Team',
'Away_Team',
'Date',
'Start',
'End',
'Location',
'Field',
]
'Away_Team',
'Date',
'Start',
'End',
'Location',
'Field',
]
scFrame = scFrame[keep_columns]
scFrame.dropna(subset=['Home_Team'], inplace=True)

Expand All @@ -42,7 +42,6 @@
scFrame.index.name = "SortOrder"



# for col in scFrame.columns:
# if col not in keep_columns:
# print(col)
Expand All @@ -59,21 +58,20 @@
uFrame = cFrame.query("Division != Division")
publish_df_to_gsheet(uFrame, worksheet_name="Unassigned")

import time
# time.sleep(3)

divisionFrames = generate_schedules(cFrame)
for division, division_frame in divisionFrames.items():
drop_columns = [
'Week_Number', 'Time_Length', 'Intended_Division',
'Day_of_Year', 'Division', "Datestamp",
"Home_Team", "Away_Team",
'Notes','Location', 'Field', 'Size',
'Type', 'Infield', 'Sunset', 'Region'
]
'Day_of_Year', 'Division', "Datestamp",
"Home_Team", "Away_Team",
'Notes', 'Location', 'Field', 'Size',
'Type', 'Infield', 'Sunset', 'Region'
]
for col in drop_columns:
if col in division_frame.columns:
division_frame = division_frame.drop(columns=col)
publish_df_to_gsheet(division_frame, worksheet_name=f"{division}")
logger.info("Sleeping for 10 second to avoid rate limit")
time.sleep(3)
time.sleep(10)
55 changes: 32 additions & 23 deletions fieldpick/assign_challenger.py
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Expand Up @@ -32,17 +32,25 @@

logger = logging.getLogger()


def clear_row(frame, slot):
frame.loc[slot, ["Division", "Home_Team", "Home_Team_Name", "Away_Team", "Away_Team_Name", "Game_ID"]] = [
None,
None,
None,
None,
None,
None,
]
frame.loc[slot,
["Division",
"Home_Team",
"Home_Team_Name",
"Away_Team",
"Away_Team_Name",
"Game_ID"]] = [None,
None,
None,
None,
None,
None,
]

# @profile


def main():
# Main loop

Expand All @@ -58,27 +66,28 @@ def main():
tFrame = pd.read_pickle(save_file)

# Block off for Challenger
cFrame.update(reserve_slots(cFrame, day_of_week="Sunday", field="Riordan", start="13:30", division="Challenger"))
cFrame.update(reserve_slots(cFrame, day_of_week="Sunday", field="Tepper", start="14:00", division="Challenger"))
cFrame.update(
reserve_slots(cFrame, day_of_week="Sunday", field="McCoppin", start="09:00", division="Challenger", date="2023-03-12")
)


# Remove Challenger slot on 3/14/23
mothers_day = cFrame[cFrame["Date"] == "2023-05-14"].index
reserve_slots(
cFrame,
day_of_week="Sunday",
field="Riordan",
start="14:00",
division="Challenger"))
cFrame.update(
reserve_slots(
cFrame,
day_of_week="Sunday",
field="Tepper",
start="14:00",
division="Challenger"))

# Remove Challenger slot on 5/11/25
mothers_day = cFrame[cFrame["Date"] == "2025-05-11"].index
challenger = cFrame[cFrame["Division"] == "Challenger"].index
challenger_slots = mothers_day.intersection(challenger)
for slot in challenger_slots:
clear_row(cFrame, slot)

# Remove Challenger slot on opening day 3/4
opening_day = cFrame[cFrame["Date"] == "2023-03-05"].index
challenger = cFrame[cFrame["Division"] == "Challenger"].index
challenger_slots = opening_day.intersection(challenger)
for slot in challenger_slots:
clear_row(cFrame, slot)

save_frame(cFrame, "calendar.pkl")
publish_df_to_gsheet(cFrame, worksheet_name="Full Schedule")

Expand Down
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