refactor: update default parameters and improve CSV download links in gen_proc and leave modules
This commit is contained in:
+15
-16
@@ -47,9 +47,9 @@ def main(
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suspend: bool = False,
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solve: bool = True,
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time_to_run: int = 60 * 60 * 10,
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ratio: float = 0.0001,
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start_date: datetime.datetime = "2026-03-02",
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weeks: int = 27,
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ratio: float = 0.1,
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start_date: datetime.datetime = "2026-09-07",
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weeks: int = 26,
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bom: float = 1,
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):
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rota_start_date = start_date.date()
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@@ -59,18 +59,17 @@ def main(
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rota_start_date,
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weeks_to_rota=weeks,
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balance_offset_modifier=bom,
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name="proc_rota3",
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name="proc_rota_sep_2026",
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)
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# Rota = RotaBuilder(start_date, weeks_to_rota=20, balance_offset_modifier=1)
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Rota.constraint_options["balance_shifts"] = False
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Rota.constraint_options["balance_shifts_quadratic"] = True
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Rota.constraint_options["balance_weekends"] = True
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Rota.constraint_options["max_night_frequency"] = 4 # 3
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#Rota.constraint_options["max_night_frequency"] = 4 # 3
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Rota.constraint_options["max_night_frequency_week_exclusions"] = []
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Rota.constraint_options["max_weekend_frequency"] = 3
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Rota.constraint_options["hard_constrain_pair_separation"] = True
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#Rota.constraint_options["max_weekend_frequency"] = 3
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Rota.constraint_options["max_days_per_week_block"] = [(8,4)]
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#Rota.constraint_options["max_days_per_week_block"] = [(8,4)]
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#wr = [
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# WorkerRequirement(
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@@ -376,9 +375,9 @@ def main(
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nwd_end_date = Rota.rota_end_date
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if "[" in i:
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print("Split nwd", worker_name, i)
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#print("Split nwd", worker_name, i)
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a, b = i.split("[")[1][:-1].split("-")
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print(f"{a=} {b=}")
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#print(f"{a=} {b=}")
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nwd_start_date = datetime.datetime.strptime(
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a, "%d/%m/%Y"
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).date()
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@@ -432,7 +431,7 @@ def main(
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else:
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oop = []
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print(f"{worker} OOP {oop}")
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#print(f"{worker} OOP {oop}")
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previous_shifts = {}
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# if twi:
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@@ -466,10 +465,10 @@ def main(
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shift_fte_overrides = {}
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if worker_name == "Hadi Mohamed":
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shift_fte_overrides = {
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"weekend_exeter": 50,
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}
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#if worker_name == "Hadi Mohamed":
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# shift_fte_overrides = {
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# "weekend_exeter": 50,
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# }
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#elif worker_name == "Joel Lim":
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# shift_fte_overrides = {
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# "plymouth_twilight": 100,
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@@ -500,7 +499,7 @@ def main(
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shift_fte_overrides=shift_fte_overrides,
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)
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print(w)
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#print(w)
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Rota.add_worker(w)
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leave.load_academy(Rota)
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@@ -33,7 +33,7 @@ def load_leave(Rota):
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if live_rota:
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download = s.get(
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"https://docs.google.com/spreadsheets/d/e/2PACX-1vQtNrp9F1fjtAh8vFX-W_R3RlD9H-2P_vCLMoHrVKR0e24yabbsdrD65VjwxoHlV1Qnatmw1NeghQHG/pub?gid=1199196967&single=true&output=csv",
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"https://docs.google.com/spreadsheets/d/e/2PACX-1vSh64r9uUbPsCdhcV7zmZz10gVqIy6rhXFUvDgJxRD5W45IYEaZpKMxAqDsD1ph6dob4AiRzJXVVtOu/pub?gid=580824586&single=true&output=csv",
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headers=headers,
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)
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# download = s.get("https://docs.google.com/spreadsheets/d/e/2PACX-1vSRx9VWXSlRubPyA0RhiI-Oqf5eHNYYEc6rFzlraDbR5_8qqr5g13-4uV-gn4u-TjZxiSMv1fBUaESq/pub?gid=814517272&single=true&output=csv", headers=headers)
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@@ -55,10 +55,12 @@ def load_leave(Rota):
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n = 1
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for row in reader:
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if n < 10:
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print(row)
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pass
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#print(row)
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row_title = row[0]
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print(row_title)
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#print(row_title)
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row_date = row[0]
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row_extra = row[1]
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r = row[2:]
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# header, extract names
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if n == 1:
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@@ -210,6 +212,14 @@ def load_leave(Rota):
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if lower_item:
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worker["bank_holiday_extra"] = int(lower_item)
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elif row_title == "Weekends/Twilights":
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if lower_item:
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worker["site"] = lower_item
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#elif row_title == "Academy":
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# pass
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elif re.match(date_re, row_date) is not None:
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if lower_item != "":
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try:
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@@ -258,70 +268,79 @@ def load_leave(Rota):
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return workers
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# load_leave()
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def load_academy(Rota):
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"""Load academy month blocks from the main published CSV and register avoids.
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Spreadsheet layout expected:
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- Column A: row title (should be 'Academy' for relevant rows)
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- Column B: start date for the month (e.g. '07/09/2026')
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- Columns C...: worker columns matching the header row (first CSV row's columns C...)
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Cells containing the word 'academy' (case-insensitive) mark that worker as being in academy
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for that month.
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"""
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Some trainees spend month blocks in the academy. This function loads that information from a google sheet that published it as a csv file.
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"""
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url = "https://docs.google.com/spreadsheets/d/e/2PACX-1vQtNrp9F1fjtAh8vFX-W_R3RlD9H-2P_vCLMoHrVKR0e24yabbsdrD65VjwxoHlV1Qnatmw1NeghQHG/pub?gid=1113837782&single=true&output=csv"
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# Use the same published CSV as load_leave (main sheet)
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url = (
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"https://docs.google.com/spreadsheets/d/e/2PACX-1vSh64r9uUbPsCdhcV7zmZz10gVqIy6rhXFUvDgJxRD5W45IYEaZpKMxAqDsD1ph6dob4AiRzJXVVtOu/pub?gid=580824586&single=true&output=csv"
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)
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with Session() as s:
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headers = {"Cache-Control": "no-cache", "Pragma": "no-cache"}
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download = s.get(url, headers=headers)
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decoded = download.content.decode("utf-8")
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reader = csv.reader(decoded.splitlines(), delimiter=',')
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reader = csv.reader(decoded.splitlines(), delimiter=",")
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names = []
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month_starts: list[datetime.date] = []
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month_cells: list[list[str]] = []
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n = 0
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names = []
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# collect date rows (these are the month start boundaries) and their cells
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date_rows: list[datetime.date] = []
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date_row_cells: list[list[str]] = []
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for row in reader:
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n += 1
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if n == 1:
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# header row: first cell is column title, remaining are worker names
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names = [c.strip() for c in row[1:]]
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continue
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if not row:
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continue
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row_title = row[0].strip()
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cells = row[1:]
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# header row: collect worker names from column C onwards
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if n == 1:
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# some files may have two leading columns (like 'Email Address' and blank/extra), so take from index 2
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names = [c.strip() for c in (row[2:] if len(row) > 2 else row[1:])]
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continue
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# If this row is a date row like '02/03/2026' then treat it as a month-start boundary
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if re.match(date_re, row_title):
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row_title = row[0].strip() if len(row) > 0 else ""
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start_cell = row[1].strip() if len(row) > 1 else ""
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cells = row[2:] if len(row) > 2 else []
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# Only treat rows where the first column mentions 'Academy' (some sheets may include other rows)
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if row_title and "academy" in row_title.lower():
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# parse start date
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try:
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try:
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d = datetime.strptime(row_title, "%d/%m/%Y").date()
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start_date = datetime.strptime(start_cell, "%d/%m/%Y").date()
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except ValueError:
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d = datetime.strptime(row_title, "%d/%m/%y").date()
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start_date = datetime.strptime(start_cell, "%d/%m/%y").date()
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except Exception:
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# skip rows without a valid date
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continue
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date_rows.append(d)
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# normalize cells length to match names
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row_cells = [ (cells[i] if i < len(cells) else "").strip() for i in range(len(names)) ]
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date_row_cells.append(row_cells)
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month_starts.append(start_date)
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# normalize cell list to names length
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row_cells = [(cells[i] if i < len(cells) else "").strip() for i in range(len(names))]
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month_cells.append(row_cells)
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# If no date rows found, nothing to do
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if not date_rows:
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if not month_starts:
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return
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# Identify twilight shift names available in the rota
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# determine twilight shifts available
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twilight_shift_names = [s.name for s in Rota.get_shifts() if "twilight" in s.name]
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# For each date boundary, compute its end (next boundary - 1 day) and register avoids where cell=='academy'
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for idx, start_date in enumerate(date_rows):
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if idx + 1 < len(date_rows):
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end_date = date_rows[idx + 1] - timedelta(days=1)
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# for each month start, compute end date and register avoids
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for idx, start_date in enumerate(month_starts):
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if idx + 1 < len(month_starts):
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end_date = month_starts[idx + 1] - timedelta(days=1)
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else:
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end_date = Rota.rota_end_date
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cells = date_row_cells[idx]
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cells = month_cells[idx]
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for i, cell in enumerate(cells):
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if i >= len(names):
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break
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@@ -341,7 +360,7 @@ def load_academy(Rota):
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sh = Rota.get_shift_by_name(sh_name)
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except Exception:
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continue
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if hasattr(worker, "site") and worker.site in sh.sites:
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if hasattr(worker, "site") and worker.site in getattr(sh, "sites", []):
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candidate_shifts.append(sh_name)
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elif sh_name.startswith(f"{worker.site}_"):
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candidate_shifts.append(sh_name)
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@@ -349,7 +368,12 @@ def load_academy(Rota):
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if not candidate_shifts:
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candidate_shifts = twilight_shift_names.copy()
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# register as a date range with a reason 'academy'
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#print(f"Academy: {worker.name} on academy from {start_date} to {end_date}, avoiding shifts: {candidate_shifts}")
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Rota.add_avoid_shifts_for_workers_on_dates(
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names=[worker.name], shifts=candidate_shifts, start_date=start_date, end_date=end_date, reason="academy"
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names=[worker.name],
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shifts=candidate_shifts,
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start_date=start_date,
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end_date=end_date,
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reason="academy",
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)
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