Participant: MA3031
Time Zone: America/New_York
Messages sent today (Nov 08, 2026):
move_more: 1
Total: 1
No message
Sep 22, 2026 10:45:00 EDT
Epoch Time:
1790088300
Created:
2026-09-22 10:45:03 EDT
Fitbit data rows:
2
No message
Sep 22, 2026 10:30:00 EDT
Epoch Time:
1790087400
Created:
2026-09-22 10:30:04 EDT
Fitbit data rows:
2
No message
Sep 22, 2026 10:15:00 EDT
Epoch Time:
1790086500
Created:
2026-09-22 10:15:10 EDT
Fitbit data rows:
2
No message
Sep 22, 2026 10:00:00 EDT
Epoch Time:
1790085600
Created:
2026-09-22 10:00:04 EDT
Fitbit data rows:
2
No message
Sep 22, 2026 09:45:00 EDT
Epoch Time:
1790084700
Created:
2026-09-22 09:45:03 EDT
Fitbit data rows:
2
No message
Sep 22, 2026 09:30:00 EDT
Epoch Time:
1790083800
Created:
2026-09-22 09:30:05 EDT
Fitbit data rows:
2
No message
Sep 21, 2026 21:15:00 EDT
Epoch Time:
1790039700
Created:
2026-09-21 21:15:16 EDT
Fitbit data rows:
23
Script Error 21:15:16
Category:
script error
Description:
Set parameter WLSAccessID
Set parameter WLSSecret
Set parameter LicenseID to value 2722107
Academic license 2722107 - for non-commercial use only - registered to am___@umich.edu
Gurobi Optimizer version 12.0.3 build v12.0.3rc0 (linux64 - "Ubuntu 24.04.2 LTS")
CPU model: Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2|AVX512]
Thread count: 4 physical cores, 4 logical processors, using up to 4 threads
Academic license 2722107 - for non-commercial use only - registered to am___@umich.edu
Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros
Model fingerprint: 0x63af4e61
Variable types: 1053 continuous, 1212 integer (1212 binary)
Coefficient statistics:
Matrix range [1e+00, 2e+05]
Objective range [1e-03, 1e-03]
Bounds range [1e+00, 2e+05]
RHS range [1e+00, 2e+05]
Found heuristic solution: objective -0.0000000
Presolve removed 2266 rows and 2265 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)
Thread count was 1 (of 4 available processors)
Solution count 1: -0
No other solutions better than -0
Optimal solution found (tolerance 1.00e-04)
Best objective -0.000000000000e+00, best bound -0.000000000000e+00, gap 0.0000%
Gurobi Optimizer version 12.0.3 build v12.0.3rc0 (linux64 - "Ubuntu 24.04.2 LTS")
CPU model: Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2|AVX512]
Thread count: 4 physical cores, 4 logical processors, using up to 4 threads
Academic license 2722107 - for non-commercial use only - registered to am___@umich.edu
Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros
Model fingerprint: 0x63af4e61
Variable types: 1053 continuous, 1212 integer (1212 binary)
Coefficient statistics:
Matrix range [1e+00, 2e+05]
Objective range [1e-03, 1e-03]
Bounds range [1e+00, 2e+05]
RHS range [1e+00, 2e+05]
Presolve removed 2266 rows and 2265 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)
Thread count was 1 (of 4 available processors)
Solution count 1: -0
No other solutions better than -0
Optimal solution found (tolerance 1.00e-04)
Best objective -0.000000000000e+00, best bound -0.000000000000e+00, gap 0.0000%
Traceback (most recent call last):
File "/home/deploy/matchaim-controller/controller_run.py", line 18, in <module>
message_output = controller_fn(model_file_path, measurements_file_path, int(daily_iterations),int(group_numer))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/deploy/matchaim-controller/controller_func_2inp.py", line 368, in controller_fn
message_output = [u1_sol[iteration],u2_sol[iteration],u3_sol[iteration],0]
~~~~~~^^^^^^^^^^^
KeyError: np.int64(53)
Warning: environment still referenced so free is deferred (Continue to use WLS)
Command:
python3 /home/deploy/matchaim-controller/controller_run.py /home/deploy/matchaim-data/models/MAxxx.csv shared/measurement_files/MA3031_measurements_2026-09-21.csv 48 3 2>&1
Error created: 2026-09-21 21:15:16 EDT
No message
Sep 21, 2026 21:00:00 EDT
Epoch Time:
1790038800
Created:
2026-09-21 21:00:16 EDT
Fitbit data rows:
22
No message
Sep 21, 2026 20:45:00 EDT
Epoch Time:
1790037900
Created:
2026-09-21 20:45:23 EDT
Fitbit data rows:
21
No message
Sep 21, 2026 20:30:00 EDT
Epoch Time:
1790037000
Created:
2026-09-21 20:30:24 EDT
Fitbit data rows:
20
No message
Sep 21, 2026 20:15:00 EDT
Epoch Time:
1790036100
Created:
2026-09-21 20:15:24 EDT
Fitbit data rows:
19
No message
Sep 21, 2026 20:00:00 EDT
Epoch Time:
1790035200
Created:
2026-09-21 20:00:24 EDT
Fitbit data rows:
18
No message
Sep 21, 2026 19:45:00 EDT
Epoch Time:
1790034300
Created:
2026-09-21 19:45:28 EDT
Fitbit data rows:
17
sit_less
Sep 21, 2026 19:30:00 EDT
Epoch Time:
1790033400
Created:
2026-09-21 19:30:29 EDT
Fitbit data rows:
16
No message
Sep 21, 2026 19:15:00 EDT
Epoch Time:
1790032500
Created:
2026-09-21 19:15:30 EDT
Fitbit data rows:
15
No message
Sep 21, 2026 19:00:00 EDT
Epoch Time:
1790031600
Created:
2026-09-21 19:00:30 EDT
Fitbit data rows:
14
No message
Sep 21, 2026 18:45:00 EDT
Epoch Time:
1790030700
Created:
2026-09-21 18:45:35 EDT
Fitbit data rows:
13
No message
Sep 21, 2026 18:30:00 EDT
Epoch Time:
1790029800
Created:
2026-09-21 18:30:35 EDT
Fitbit data rows:
12
No message
Sep 21, 2026 18:15:00 EDT
Epoch Time:
1790028900
Created:
2026-09-21 18:15:40 EDT
Fitbit data rows:
11
No message
Sep 21, 2026 18:00:00 EDT
Epoch Time:
1790028000
Created:
2026-09-21 18:00:38 EDT
Fitbit data rows:
10
No message
Sep 21, 2026 17:45:00 EDT
Epoch Time:
1790027100
Created:
2026-09-21 17:45:42 EDT
Fitbit data rows:
9
No message
Sep 21, 2026 17:30:00 EDT
Epoch Time:
1790026200
Created:
2026-09-21 17:30:43 EDT
Fitbit data rows:
8
No message
Sep 21, 2026 17:15:00 EDT
Epoch Time:
1790025300
Created:
2026-09-21 17:15:43 EDT
Fitbit data rows:
8
No message
Sep 21, 2026 17:00:00 EDT
Epoch Time:
1790024400
Created:
2026-09-21 17:00:43 EDT
Fitbit data rows:
8
No message
Sep 21, 2026 16:45:00 EDT
Epoch Time:
1790023500
Created:
2026-09-21 16:45:48 EDT
Fitbit data rows:
8
Version: 26.06.22.15.30 on SFR-MATCH-AIM