The exit status of the task that caused the workflow execution to fail was: 1.
The full error message was:
Error executing process > 'prep_params_massbank'
Caused by:
Process `prep_params_massbank` terminated with an error exit status (1)
Command executed:
python3 /app/pipelines/gnps_ml_processing_workflow/GNPS_ML_Processing/../MassBank_Processing/bin/prep_params.py --glob "MassBank-data/*/*.txt" --blacklist "legacy.blacklist" -p "10000"
# python3 /app/pipelines/gnps_ml_processing_workflow/GNPS_ML_Processing/../MassBank_Processing/bin/prep_params.py # --glob "MassBank-data/MSSJ/*.txt" # --blacklist "legacy.blacklist" # -p "10000"
Command exit status:
1
Command output:
(empty)
Command error:
Traceback (most recent call last):
File "/app/pipelines/gnps_ml_processing_workflow/GNPS_ML_Processing/../MassBank_Processing/bin/prep_params.py", line 5, in
import numpy as np
ModuleNotFoundError: No module named 'numpy'
Work dir:
/data/gscratch/web-services/Cleaning_Pipelines/work/b8/afe78698da5c81d19d632ae27a323a
Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line
nextflow run /app/pipelines/gnps_ml_processing_workflow/GNPS_ML_Processing/nf_workflow.nf --GNPS_json_path /output/ALL_GNPS_NO_PROPOGATED.json --output_dir /output/cleaned_data/ --conda_path /app/pipelines/conda_envs/gnps2_ml_processing_env --matchms_conda_path /app/pipelines/conda_envs/matchms_env --api_cache /output/structure_classification/ -with-report /output/cleaned_data/ml_pipeline_report.html -with-timeline /output/cleaned_data/ml_pipeline_timeline.html -w /data/gscratch/web-services/Cleaning_Pipelines/workd07e4bbd5164ef48fc8bd5c492e8eef2b7a6ff60-353b-4f1f-b997-71c850865770These plots give an overview of the distribution of resource usage for each process.
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