Job request: 4368

Workspace:: pincer-measures
ID:: cjsec64llndbqpk4
This page shows the technical details of what happened when authorised researcher Lisa Hopcroft requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.
Jobs

Action:

check_indicator_k_definition

Status:

Status: Succeeded

Job identifier:

zfp53rmrexjxzpkn
Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to 2020-05-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_*.feather

  generate_study_population_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-01 to 2021-02-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input*.feather

  generate_study_population_3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-01 to 2021-09-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/inpu*.feather

  generate_study_population_a:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_a --index-date-range "2019-09-01 to 2021-09-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_a_*.feather

  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.feather
 
  generate_study_population_egfr:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_egfr --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_egfr.feather
  
  check_indicator_k_definition:
    run: python:latest python analysis/check_indicator_k_denominator.py
    needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_egfr]
    outputs:
      moderately_sensitive:
        check1: output/new-indicator-k_denominator-check.csv
        check2: output/new-indicator-k_denominator-match-counts.csv

  join_ethnicity_region:
    run: python:latest python analysis/join_ethnicity_region.py
    needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/inp*.feather
  
  count_egfr_comparators:
    run: python:latest python analysis/count_comparator_value_pairs.py
    needs: [join_ethnicity_region]
    outputs:
      moderately_sensitive:
        cohort: output/EGFR_*.csv
        

  calculate_numerators:
    run: python:latest python analysis/calculate_numerators.py
    needs: [join_ethnicity_region]
    outputs:
      highly_sensitive:
        cohort: output/indicator_e_f_*.feather

  calculate_composite_indicators:
    run: python:latest python analysis/composite_indicators.py
    needs: [calculate_numerators, join_ethnicity_region]
    outputs:
      moderately_sensitive:
        counts: output/*_composite_measure.csv

  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
    needs: [join_ethnicity_region]
    outputs:
        moderately_sensitive:
          measure_csv: output/measure_*_rate.csv
  
  check_asthma:
    run: python:latest python analysis/check_asthma.py
    needs: [generate_measures]
    outputs:
      moderately_sensitive:
        csv: output/asthma_sum.csv
  
  generate_measures_demographics:
    run: python:latest python analysis/calculate_measures.py
    needs: [calculate_numerators, join_ethnicity_region]
    outputs:
      moderately_sensitive:
        counts: output/indicator_measure_*.csv
        measure_csv: output/measure*_rate.csv
        demographics: output/demographics_summary_*.csv
        
  
  practice_proportions:
    run: python:latest python analysis/extract_rates.py
    needs: [generate_measures, generate_measures_demographics]
    outputs:
      moderately_sensitive:
        measure_csv: output/measure_cleaned_*.csv
        

  generate_summary_counts:
    run: python:latest python analysis/summary_statistics.py
    needs: [join_ethnicity_region, generate_measures, generate_measures_demographics, calculate_numerators]
    outputs:
      moderately_sensitive:
        patient_count: output/patient_count_*.json
        practice_count: output/practice_count_*.json
        summary: output/indicator_summary_statistics_*.json
  
  generate_plots:
    run: python:latest python analysis/plot_measures.py
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        counts: output/figures/plot_*.jpeg
        combined: output/figures/combined_plot_*.png
        demographics: output/demographic_aggregates.csv

  cusum:
    run: python:latest python analysis/cusum.py
    needs: [generate_measures, generate_measures_demographics]
    outputs:
      moderately_sensitive:
        cusum: output/cusum/cusum_results.json
        alerts: output/cusum/cusum_alerts_summary.json
        by_date: output/cusum/cusum_alerts_by_date.json
  
  plot_cusum:
    run: python:latest python analysis/plot_cusum.py
    needs: [cusum, generate_measures, generate_measures_demographics]
    outputs:
      moderately_sensitive:
        cusum: output/cusum/cusum/cusum_indicator_*.jpeg
        alert: output/cusum/alerts/alerts_indicator_*.jpeg
        combined_cusum: output/cusum/combined_*.png
  
  generate_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_plots, generate_summary_counts]
    outputs:
      moderately_sensitive:
        notebook: output/report.html


  generate_dem_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/demographic_report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_plots]
    outputs:
      moderately_sensitive:
        notebook: output/demographic_report.html

#   generate_publication_tables:
#     run: jupyter:latest jupyter nbconvert /workspace/analysis/publication_tables.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
#     needs: [generate_measures_demographics, generate_summary_counts]
#     outputs:
#       moderately_sensitive:
#         notebook: output/publication_tables.html



  indicator_saturation_a:
    run: r:latest analysis/indicator_saturation_analysis.R -I a -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_a_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_a/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_a/plot_data.csv

  indicator_saturation_b:
    run: r:latest analysis/indicator_saturation_analysis.R -I b -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_b_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_b/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_b/plot_data.csv

  indicator_saturation_c:
    run: r:latest analysis/indicator_saturation_analysis.R -I c -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_c_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_c/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_c/plot_data.csv

  indicator_saturation_d:
    run: r:latest analysis/indicator_saturation_analysis.R -I d -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_d_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_d/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_d/plot_data.csv

  indicator_saturation_e:
    run: r:latest analysis/indicator_saturation_analysis.R -I e -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_e_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_e/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_e/plot_data.csv

  indicator_saturation_f:
    run: r:latest analysis/indicator_saturation_analysis.R -I f -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_f_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_f/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_f/plot_data.csv
        
  indicator_saturation_g:
    run: r:latest analysis/indicator_saturation_analysis.R -I g -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_g_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_g/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_g/plot_data.csv

  indicator_saturation_i:
    run: r:latest analysis/indicator_saturation_analysis.R -I i -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_i_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_i/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_i/plot_data.csv

  indicator_saturation_k:
    run: r:latest analysis/indicator_saturation_analysis.R -I k -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_k_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_k/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_k/plot_data.csv

  indicator_saturation_ac:
    run: r:latest analysis/indicator_saturation_analysis.R -I ac -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_ac_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_ac/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_ac/plot_data.csv

  indicator_saturation_me_no_fbc:
    run: r:latest analysis/indicator_saturation_analysis.R -I me_no_fbc -T date -C practice -B indicator_me_denominator -v -i output -o output/indicator_saturation measure_indicator_me_no_fbc_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_me_no_fbc/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_me_no_fbc/plot_data.csv
        
  indicator_saturation_me_no_lft:
    run: r:latest analysis/indicator_saturation_analysis.R -I me_no_lft -T date -C practice -B indicator_me_denominator -v -i output -o output/indicator_saturation measure_indicator_me_no_lft_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_me_no_lft/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_me_no_lft/plot_data.csv

  indicator_saturation_li:
    run: r:latest analysis/indicator_saturation_analysis.R -I li -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_li_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_li/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_li/plot_data.csv

  indicator_saturation_am:
    run: r:latest analysis/indicator_saturation_analysis.R -I am -T date -C practice -v -i output -o output/indicator_saturation measure_indicator_am_rate.csv 
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        out_csv: output/indicator_saturation/indicator_saturation_*_am/summary_output.csv
        plot_csv: output/indicator_saturation/indicator_saturation_*_am/plot_data.csv

  combine_indicator_saturation_data:
    run: r:latest analysis/combine_indicator_saturation_output.R output/indicator_saturation output/indicator_saturation/combined
    needs: [indicator_saturation_a, indicator_saturation_b, indicator_saturation_c, indicator_saturation_d, indicator_saturation_e, indicator_saturation_f, indicator_saturation_g, indicator_saturation_i, indicator_saturation_k, indicator_saturation_ac, indicator_saturation_me_no_fbc, indicator_saturation_me_no_lft, indicator_saturation_li, indicator_saturation_am]
    outputs:
      moderately_sensitive:
        counts: output/indicator_saturation/combined/*.csv
        # plots: output/indicator_saturation/combined/CDPLOT_*.png
        # summary: output/indicator_saturation/combined/SUMMARY_*.png
        # Rdat: output/indicator_saturation/combined/ANALYSIS_OUTPUT.Rdat
  
  generate_indicator_saturation_plots:
    run: r:latest analysis/generate_indicator_saturation_plots.R output/indicator_saturation output/indicator_saturation/combined
    needs: [combine_indicator_saturation_data]
    outputs:
      moderately_sensitive:
        plots: output/indicator_saturation/combined/BREAK-COUNT_*.png
 
  # indicator_saturation_a_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I a -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_a_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_a/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_a/plot_data.csv        
        
  # indicator_saturation_b_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I b -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_b_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_b/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_b/plot_data.csv

  # indicator_saturation_c_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I c -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_c_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_c/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_c/plot_data.csv

  # indicator_saturation_d_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I d -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_d_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_d/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_d/plot_data.csv
  # indicator_saturation_e_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I e -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_e_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_e/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_e/plot_data.csv

  # indicator_saturation_f_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I f -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_f_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_f/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_f/plot_data.csv

  # indicator_saturation_g_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I g -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_g_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_g/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_g/plot_data.csv

  # indicator_saturation_i_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I i -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_i_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_i/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_i/plot_data.csv

  # indicator_saturation_k_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I k -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_k_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_k/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_k/plot_data.csv

  # indicator_saturation_ac_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I ac -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_ac_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_ac/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_ac/plot_data.csv

  # indicator_saturation_am_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I am -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_am_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_am/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_am/plot_data.csv

  # indicator_saturation_li_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I li -T date -C practice -v -Q -i output -o output/indicator_saturation_rev measure_indicator_li_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_li/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_li/plot_data.csv

  # indicator_saturation_me_no_fbc_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I me_no_fbc -T date -C practice -B indicator_me_denominator -v -Q -i output -o output/indicator_saturation_rev measure_indicator_me_no_fbc_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_me_no_fbc/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_me_no_fbc/plot_data.csv
        
  # indicator_saturation_me_no_lft_rev:
  #   run: r:latest analysis/indicator_saturation_analysis.R -I me_no_lft -T date -C practice -B indicator_me_denominator -v -Q -i output -o output/indicator_saturation_rev measure_indicator_me_no_lft_rate.csv 
  #   needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
  #   outputs:
  #     moderately_sensitive:
  #       out_csv: output/indicator_saturation_rev/indicator_saturation_*_me_no_lft/summary_output.csv
  #       plot_csv: output/indicator_saturation_rev/indicator_saturation_*_me_no_lft/plot_data.csv

  # combine_indicator_saturation_data_rev:
  #   run: r:latest analysis/combine_indicator_saturation_output.R output/indicator_saturation_rev output/indicator_saturation_rev/combined
  #   needs: [indicator_saturation_a_rev, indicator_saturation_b_rev, indicator_saturation_c_rev, indicator_saturation_d_rev, indicator_saturation_e_rev, indicator_saturation_f_rev, indicator_saturation_g_rev, indicator_saturation_i_rev, indicator_saturation_k_rev, indicator_saturation_ac_rev, indicator_saturation_me_no_fbc_rev, indicator_saturation_me_no_lft_rev, indicator_saturation_li_rev, indicator_saturation_am_rev]
  #   outputs:
  #     moderately_sensitive:
  #       counts: output/indicator_saturation_rev/combined/*.csv
  #       # plots: output/indicator_saturation/combined/CDPLOT_*.png
  #       # summary: output/indicator_saturation/combined/SUMMARY_*.png
  #       # Rdat: output/indicator_saturation/combined/ANALYSIS_OUTPUT.Rdat
  
  # generate_indicator_saturation_plots_rev:
  #   run: r:latest analysis/generate_indicator_saturation_plots.R output/indicator_saturation_rev output/indicator_saturation_rev/combined
  #   needs: [combine_indicator_saturation_data_rev]
  #   outputs:
  #     moderately_sensitive:
  #       plots: output/indicator_saturation_rev/combined/BREAK-COUNT_*.png

  run_tests:
    run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
    outputs:
      moderately_sensitive:
        log: output/pytest.xml
Timeline

Created: 1 year, 2 months ago 18 Nov 2021 16:34:03 UTC
Started: 1 year, 2 months ago 18 Nov 2021 16:43:15 UTC
Finished: 1 year, 2 months ago 18 Nov 2021 17:28:24 UTC
Runtime: 00:45:09
These timestamps are generated and stored using the UTC timezone on the backend.
Job information

Status: Succeeded
Backend: TPP
Workspace: pincer-measures
Requested by: Lisa Hopcroft
Branch: main
Force run dependencies: No
Git commit hash: 8d49e15
Requested actions: check_indicator_k_definition