dump new
Signed-off-by: Hilmar Magnusson <hilmarmag@protonmail.com>
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CaseID,PatientID,Station,EKT,Erhaltung,Ket,Date
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1,21-239,1,15,0,no,28/11/2024
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2,21-237,0,22,1,no,29/11/2024
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3,21-238,3,12,1,no,30/11/2024
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Id,PatientID,Patient,Station
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1,21-239,Hans Zimmer,1
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2,21-237,Lina Gruber,0
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3,21-238,Victoria J,3
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4,21-229,Hilmario Maggio,3
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5,21-249,Egon Schiele,2
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6,21-219,Hans Landa,1
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7,21-213,Gregor Samsa,1
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8,21-222,Johanne,2
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9,21-223,Angela Merkel,1
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10,21-240,Britney Spears,3
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11,21-241,Madonna,0
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SessionID,Date,Start,End,Duration,ConsultantID,Specialty
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1001,03/06/2020,08:30:00,18:00:00,570,11,Ophthalmology
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1002,10/06/2020,08:30:00,18:00:00,570,11,Ophthalmology
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1003,17/06/2020,08:30:00,18:00:00,570,11,Ophthalmology
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1004,25/06/2020,08:30:00,13:00:00,270,11,Ophthalmology
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8
opt.py
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opt.py
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@ -3,6 +3,7 @@ solver = SolverFactory('glpk')
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import pandas as pd
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import pyomo.environ as pyo
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import datetime
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# Create a model
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model = pyo.ConcreteModel()
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@ -54,6 +55,11 @@ def date2int(date):
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week = int((delta - day)/7)
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return week,day
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def int2date(week, day):
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d0 = pd.to_datetime("25/11/2024", dayfirst=True)
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delta = datetime.timedelta(days = 7*week + day)
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date = d0 + delta
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return date
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path = '/home/hmag/code/pyomo/data'
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my = Scheduler(path+'/cases.csv', path+'/sessions.csv', path+'/patients.csv')
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@ -67,3 +73,5 @@ print(my.df_cases['Date'][0])
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date = my.df_cases['Date'][0]
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print(date2int(date))
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print(int2date(1,0))
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