Participant: MA3055

Time Zone: America/New_York

No message

Sep 08, 2026 07:30:00 EDT
Epoch Time: 1788867000
Created: 2026-09-08 07:30:11 EDT
Fitbit data rows: 7

No message

Sep 08, 2026 07:15:00 EDT
Epoch Time: 1788866100
Created: 2026-09-08 07:15:11 EDT
Fitbit data rows: 6

No message

Sep 08, 2026 07:00:00 EDT
Epoch Time: 1788865200
Created: 2026-09-08 07:00:12 EDT
Fitbit data rows: 5

No message

Sep 07, 2026 18:45:00 EDT
Epoch Time: 1788821100
Created: 2026-09-07 18:45:38 EDT
Fitbit data rows: 49
Script Error 18:45:38
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: 0x300e230b 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: 0x300e230b 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/MA3055_measurements_2026-09-07.csv 48 3 2>&1
Error created: 2026-09-07 18:45:38 EDT

No message

Sep 07, 2026 18:30:00 EDT
Epoch Time: 1788820200
Created: 2026-09-07 18:30:37 EDT
Fitbit data rows: 48

No message

Sep 07, 2026 18:15:00 EDT
Epoch Time: 1788819300
Created: 2026-09-07 18:15:40 EDT
Fitbit data rows: 47

No message

Sep 07, 2026 18:00:00 EDT
Epoch Time: 1788818400
Created: 2026-09-07 18:00:41 EDT
Fitbit data rows: 46

No message

Sep 07, 2026 17:45:00 EDT
Epoch Time: 1788817500
Created: 2026-09-07 17:45:41 EDT
Fitbit data rows: 45

No message

Sep 07, 2026 17:30:00 EDT
Epoch Time: 1788816600
Created: 2026-09-07 17:30:43 EDT
Fitbit data rows: 44

No message

Sep 07, 2026 17:15:00 EDT
Epoch Time: 1788815700
Created: 2026-09-07 17:15:41 EDT
Fitbit data rows: 43

No message

Sep 07, 2026 17:00:00 EDT
Epoch Time: 1788814800
Created: 2026-09-07 17:00:40 EDT
Fitbit data rows: 42

sit_less

Sep 07, 2026 16:45:00 EDT
Epoch Time: 1788813900
Created: 2026-09-07 16:45:40 EDT
Fitbit data rows: 41

No message

Sep 07, 2026 16:30:00 EDT
Epoch Time: 1788813000
Created: 2026-09-07 16:30:39 EDT
Fitbit data rows: 40

No message

Sep 07, 2026 16:15:00 EDT
Epoch Time: 1788812100
Created: 2026-09-07 16:15:40 EDT
Fitbit data rows: 37

No message

Sep 07, 2026 16:00:00 EDT
Epoch Time: 1788811200
Created: 2026-09-07 16:00:40 EDT
Fitbit data rows: 37

No message

Sep 07, 2026 15:45:00 EDT
Epoch Time: 1788810300
Created: 2026-09-07 15:45:38 EDT
Fitbit data rows: 37

No message

Sep 07, 2026 15:30:00 EDT
Epoch Time: 1788809400
Created: 2026-09-07 15:30:38 EDT
Fitbit data rows: 37

No message

Sep 07, 2026 15:15:00 EDT
Epoch Time: 1788808500
Created: 2026-09-07 15:15:38 EDT
Fitbit data rows: 37

No message

Sep 07, 2026 15:00:00 EDT
Epoch Time: 1788807600
Created: 2026-09-07 15:00:40 EDT
Fitbit data rows: 36

No message

Sep 07, 2026 14:45:00 EDT
Epoch Time: 1788806700
Created: 2026-09-07 14:45:41 EDT
Fitbit data rows: 35

No message

Sep 07, 2026 14:30:00 EDT
Epoch Time: 1788805800
Created: 2026-09-07 14:30:38 EDT
Fitbit data rows: 34

No message

Sep 07, 2026 14:15:00 EDT
Epoch Time: 1788804900
Created: 2026-09-07 14:15:39 EDT
Fitbit data rows: 33

No message

Sep 07, 2026 14:00:00 EDT
Epoch Time: 1788804000
Created: 2026-09-07 14:00:40 EDT
Fitbit data rows: 32

No message

Sep 07, 2026 13:45:00 EDT
Epoch Time: 1788803100
Created: 2026-09-07 13:45:38 EDT
Fitbit data rows: 31

No message

Sep 07, 2026 13:30:00 EDT
Epoch Time: 1788802200
Created: 2026-09-07 13:30:43 EDT
Fitbit data rows: 31
Version: 26.06.22.15.30 on SFR-MATCH-AIM