Job request: 20418

version: '3.0'

expectations:
  population_size: 1000

actions:
  generate_study_population_report_ethnicity:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_ethnicity_report --output-dir output/report --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/input_ethnicity_report.csv.gz

  ### Curation check ###
  curation_monthly:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2019-01-01 to 2019-01-01 by month"
      --param frequency=monthly
      --output-dir=output/curation
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/curation/input_report_2019-01-01.csv.gz

  dataset_report_monthly:
      run: python:latest python analysis/dataset_report.py
           --input-files output/curation/input_report_2019-01-01.csv.gz
           --output-dir output/curation/
           --granularity "year"
      needs: [curation_monthly]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          cohort_report: output/curation/input_report_2019-01-01.html

  curation_weekly:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2022-07-01 to 2022-07-28 by week"
      --param frequency=weekly
      --output-dir=output/curation
      --output-format=csv.gz
      --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/curation/input_report_2022-07*.csv.gz

  dataset_report_weekly:
      run: python:latest python analysis/dataset_report.py
           --input-files output/curation/input_report_2022-07-01.csv.gz
           --output-dir output/curation/
           --granularity "day"
      needs: [curation_weekly]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          cohort_report: output/curation/input_report_2022-07-01.html

  curation_measures_weekly:
    run: cohortextractor:latest generate_measures
      --study-definition study_definition_report
      --output-dir=output/curation
      --param frequency=weekly
    needs: [curation_weekly]
    outputs:
      moderately_sensitive:
        measure_csv: output/curation/measure_event_*_rate.csv

  curation_diagnostics:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_diagnostics_curation
      --index-date-range "2019-01-01 to 2019-01-01 by month"
      --output-dir=output/curation
      --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/curation/input_diagnostics_curation_2019-01-01.feather

  dataset_report_diagnostics:
      run: python:latest python analysis/dataset_report.py
           --input-files output/curation/input_diagnostics_curation_2019-01-01.feather
           --output-dir output/curation/
           --granularity "day"
      needs: [curation_diagnostics]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          cohort_report: output/curation/input_diagnostics_curation_2019-01-01.html

  curation_with:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_with_curation
      --index-date-range "2018-01-01 to 2018-04-01 by month"
      --output-dir=output/curation
      --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/curation/input_with_curation_2018-*-01.feather

  dataset_report_with:
      run: python:latest python analysis/dataset_report.py
           --input-files output/curation/input_with_curation_2018-*-01.feather
           --output-dir output/curation/
           --granularity "day"
           diff --col-1 "scarlet_fever_date" --col-2 "any_prescription_date"
      needs: [curation_with]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          cohort_report: output/curation/input_with_curation_2018-*-01.html
  ### End curation check ###

  ### MONTHLY ###
  generate_study_population_report_excluded:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_excluded
      --index-date-range "2023-03-01 to 2023-03-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/input_excluded_2023-03-01.csv.gz

  count_excluded:
      run: python:latest python analysis/count_excluded.py
           --input-files output/report/input_excluded_2023-03-01.csv.gz
           --output-dir output/report/results/paper
           --output-name "excluded.csv"
           --redact
      needs: [generate_study_population_report_excluded]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          measure_csv: output/report/results/paper/excluded.csv

  generate_study_population_report_monthly_0:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2018-01-01 to 2018-12-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/input_*-01.csv.gz

  generate_study_population_report_monthly_1:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2019-01-01 to 2019-12-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/input*-01.csv.gz

  generate_study_population_report_monthly_2:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2020-01-01 to 2020-12-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/inpu*-01.csv.gz

  generate_study_population_report_monthly_3:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2021-01-01 to 2021-12-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/inp*-01.csv.gz

  generate_study_population_report_monthly_4:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2022-01-01 to 2022-12-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/in*-01.csv.gz

  generate_study_population_report_monthly_5:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2023-01-01 to 2023-03-01 by month"
      --param frequency=monthly
      --output-dir=output/report
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/i*-01.csv.gz

  join_cohorts_report:
    run: >
      python:latest python analysis/cohort_joiner.py
        --lhs output/report/input_report_20*.csv.gz
        --rhs output/report/input_ethnicity_report.csv.gz
        --output-dir output/report/joined
    needs: [
      generate_study_population_report_monthly_0,
      generate_study_population_report_monthly_1,
      generate_study_population_report_monthly_2,
      generate_study_population_report_monthly_3,
      generate_study_population_report_monthly_4,
      generate_study_population_report_monthly_5,
      generate_study_population_report_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/report/joined/input_report_20*.csv.gz

  generate_measures_report:
    run: cohortextractor:latest generate_measures
        --study-definition study_definition_report
        --param frequency=monthly
        --output-dir=output/report/joined
    needs: [join_cohorts_report]
    outputs:
      moderately_sensitive:
        measure_csv: output/report/joined/measure_event_*_rate.csv
        measure_pcnt_csv: output/report/joined/measure_event_*_pcnt.csv

  join_measures_rounded:
      run: python:latest python analysis/join_and_round.py
           --input-files output/report/joined/measure_event_*_rate.csv
           --input-files output/report/joined/measure_event_*_pcnt.csv
           --exclude-files output/report/joined/measure_*practice*_rate.csv
           --exclude-files output/report/joined/measure_event_code*_rate.csv
           --output-dir output/report/results
           --output-name "measure_rounded.csv"
           --redact
           --redaction-threshold=5
      needs: [generate_measures_report]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          measure_csv: output/report/results/measure_rounded.csv

  join_measures_unrounded:
      run: python:latest python analysis/join_and_round.py
           --input-files output/report/joined/measure_*practice*_rate.csv
           --input-files output/report/joined/measure_event_code*_rate.csv
           --output-dir output/report/results
           --output-name "measure_unrounded.csv"
           --allow-practice
           --skip-round
      needs: [generate_measures_report]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          measure_csv: output/report/results/measure_unrounded.csv


  top_5_table_report:
    run: >
      python:latest python analysis/report/top_5_report.py
      --input-file output/report/results/measure_unrounded.csv
      --output-dir output/report/results
      --frequency month
      --xtick-frequency 2
    needs: [join_measures_unrounded]
    outputs:
      moderately_sensitive:
        tables: output/report/results/top_5*.csv
        figures: output/report/results/*top_5_codes_over_time.png
        data: output/report/results/*top_5_codes_over_time.csv

  plot_measure_report:
    run: >
      python:latest python analysis/report/plot_measures_report.py
      --measure-path output/report/results/measure_rounded.csv
      --output-dir output/report/results
      --base-fontsize 14
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/*_bar_measures*.jpeg

  panel_plots:
    run: >
      python:latest python analysis/report/create_panels.py
      --input-file output/report/results/measure_rounded.csv
      --practice-file output/report/results/measure_unrounded.csv
      --panels "population" "practice" "age_band" "region" "imd" "ethnicity"
      --output-dir output/report/results
      --xtick-frequency 3
      --base-fontsize 14
    needs: [join_measures_rounded, join_measures_unrounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/*.png
        deciles_tables: output/report/results/deciles_table*.csv

  panel_plots_stacked_medications:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/measure_rounded.csv
      --measures-list "event_amoxicillin_rate"
      --measures-list "event_azithromycin_rate"
      --measures-list "event_clarithromycin_rate"
      --measures-list "event_erythromycin_rate"
      --measures-list "event_phenoxymethylpenicillin_rate"
      --measures-list "event_cefalexin_rate"
      --measures-list "event_co_amoxiclav_rate"
      --measures-list "event_flucloxacillin_rate"
      --output-dir output/report/results
      --output-name "all_medications_by_year"
      --scale "rate"
      --stack-years
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/all_medications_by_year.png

  panel_plots_stacked_diagnostics:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/measure_rounded.csv
      --measures-list "event_scarlet_fever_rate"
      --measures-list "event_sore_throat_tonsillitis_rate"
      --measures-list "event_invasive_strep_a_rate"
      --output-dir output/report/results
      --output-name "any_clinical_event_by_year"
      --scale "rate"
      --stack-years
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/any_clinical_event_by_year.png

  event_counts_medication:
    run: >
      python:latest python analysis/report/tables.py
      --input-file output/report/results/measure_rounded.csv
      --output-dir output/report/results
      --output-name "event_counts_medication.csv"
      --measures-list "event_amoxicillin_rate"
      --measures-list "event_azithromycin_rate"
      --measures-list "event_clarithromycin_rate"
      --measures-list "event_erythromycin_rate"
      --measures-list "event_phenoxymethylpenicillin_rate"
      --measures-list "event_flucloxacillin_rate"
      --measures-list "event_cefalexin_rate"
      --measures-list "event_co_amoxiclav_rate"
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/event_counts_medication.csv

  event_counts_clinical:
    run: >
      python:latest python analysis/report/tables.py
      --input-file output/report/results/measure_rounded.csv
      --output-dir output/report/results
      --output-name "event_counts_clinical.csv"
      --measures-list "event_scarlet_fever_rate"
      --measures-list "event_sore_throat_tonsillitis_rate"
      --measures-list "event_invasive_strep_a_rate"
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/event_counts_clinical.csv


### WEEKLY ###
  generate_study_population_report_weekly_1:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2022-09-01 to 2022-11-09 by week"
      --param frequency=weekly
      --output-dir=output/report/weekly
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/weekly/input_*.csv.gz

  generate_study_population_report_weekly_2:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2022-11-10 to 2023-01-25 by week"
      --param frequency=weekly
      --output-dir=output/report/weekly
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/weekly/input*.csv.gz

  generate_study_population_report_weekly_3:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_report
      --index-date-range "2023-01-26 to 2023-04-05 by week"
      --param frequency=weekly
      --output-dir=output/report/weekly
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/report/weekly/inpu*.csv.gz

  generate_measures_report_weekly:
    run: cohortextractor:latest generate_measures
      --study-definition study_definition_report
      --param frequency=weekly
      --output-dir=output/report/weekly
    needs: [generate_study_population_report_weekly_1, generate_study_population_report_weekly_2, generate_study_population_report_weekly_3]
    outputs:
      moderately_sensitive:
        measure_csv: output/report/weekly/measure_event_*_rate.csv

  join_measures_rounded_weekly:
      run: python:latest python analysis/join_and_round.py
           --input-files output/report/weekly/joined/measure_*_rate.csv
           --input-files output/report/weekly/measure_*_rate.csv
           --exclude-files output/report/weekly/joined/measure_*practice*_rate.csv
           --exclude-files output/report/weekly/joined/measure_event_code*_rate.csv
           --exclude-files output/report/weekly/measure_*practice*_rate.csv
           --exclude-files output/report/weekly/measure_event_code*_rate.csv
           --output-dir output/report/weekly/results
           --output-name "measure_rounded_weekly.csv"
           --redact
           --redaction-threshold=5
      needs: [generate_measures_report_weekly]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          measure_csv: output/report/weekly/results/measure_rounded_weekly.csv

  join_measures_unrounded_weekly:
      run: python:latest python analysis/join_and_round.py
           --input-files output/report/weekly/joined/measure_*practice*_rate.csv
           --input-files output/report/weekly/joined/measure_event_code*_rate.csv
           --input-files output/report/weekly/measure_*practice*_rate.csv
           --input-files output/report/weekly/measure_event_code*_rate.csv
           --output-dir output/report/weekly/results
           --output-name "measure_unrounded_weekly.csv"
           --allow-practice
           --skip-round
      needs: [generate_measures_report_weekly]
      outputs:
        moderately_sensitive:
          # Only output the single summary file
          measure_csv: output/report/weekly/results/measure_unrounded_weekly.csv

  top_5_table_report_weekly:
    run: >
      python:latest python analysis/report/top_5_report.py
      --input-file output/report/weekly/results/measure_unrounded_weekly.csv
      --output-dir output/report/weekly/results
      --frequency week
    needs: [join_measures_unrounded_weekly]
    outputs:
      moderately_sensitive:
        tables: output/report/weekly/results/top_5*.csv
        figures: output/report/weekly/results/*top_5_codes_over_time.png
        data: output/report/weekly/results/*top_5_codes_over_time.csv

  plot_measure_report_weekly:
    run: >
      python:latest python analysis/report/plot_measures_report.py
      --measure-path output/report/weekly/results/measure_rounded_weekly.csv
      --output-dir output/report/weekly/results
      --frequency week
      --base-fontsize 14
    needs: [join_measures_rounded_weekly]
    outputs:
      moderately_sensitive:
        measure: output/report/weekly/results/*_bar_measures*.jpeg

  panel_plots_weekly:
    run: >
      python:latest python analysis/report/create_panels.py
      --input-file output/report/weekly/results/measure_rounded_weekly.csv
      --practice-file output/report/weekly/results/measure_unrounded_weekly.csv
      --panels "population" "practice" "age_band" "region" "imd"
      --output-dir output/report/weekly/results
      --frequency week
    needs: [join_measures_rounded_weekly, join_measures_unrounded_weekly]
    outputs:
      moderately_sensitive:
        measure: output/report/weekly/results/*.png
        deciles_tables: output/report/weekly/results/deciles_t*.csv

  event_counts_medication_weekly:
    run: >
      python:latest python analysis/report/tables.py
      --input-file output/report/weekly/results/measure_rounded_weekly.csv
      --output-dir output/report/weekly/results
      --output-name "event_counts_medication.csv"
      --measures-list "event_amoxicillin_rate"
      --measures-list "event_azithromycin_rate"
      --measures-list "event_clarithromycin_rate"
      --measures-list "event_erythromycin_rate"
      --measures-list "event_phenoxymethylpenicillin_rate"
      --measures-list "event_flucloxacillin_rate"
      --measures-list "event_cefalexin_rate"
      --measures-list "event_co_amoxiclav_rate"
    needs: [join_measures_rounded_weekly]
    outputs:
      moderately_sensitive:
        measure: output/report/weekly/results/event_counts_medication.csv

  event_counts_clinical_weekly:
    run: >
      python:latest python analysis/report/tables.py
      --input-file output/report/weekly/results/measure_rounded_weekly.csv
      --output-dir output/report/weekly/results
      --output-name "event_counts_clinical.csv"
      --measures-list "event_scarlet_fever_rate"
      --measures-list "event_sore_throat_tonsillitis_rate"
      --measures-list "event_invasive_strep_a_rate"
    needs: [join_measures_rounded_weekly]
    outputs:
      moderately_sensitive:
        measure: output/report/weekly/results/event_counts_clinical.csv

  generate_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/report/report.ipynb --execute --to html --output-dir=/workspace/output/report --ExecutePreprocessor.timeout=86400 --no-input
    needs: [
      event_counts_medication,
      event_counts_clinical,
      top_5_table_report,
      plot_measure_report,
      panel_plots,
      panel_plots_stacked_medications,
      panel_plots_stacked_diagnostics
      ]
    outputs:
      moderately_sensitive:
        notebook: output/report/report.html

  generate_notebook_weekly:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/report/report_weekly.ipynb --execute --to html --output-dir=/workspace/output/report --ExecutePreprocessor.timeout=86400 --no-input
    needs: [
      event_counts_medication_weekly,
      event_counts_clinical_weekly,
      top_5_table_report_weekly,
      plot_measure_report_weekly,
      panel_plots_weekly,
      ]
    outputs:
      moderately_sensitive:
        notebook: output/report/report_weekly.html


  ### Actions for paper ###
  table1:
    run: >
      python:latest python analysis/report/table1.py
      --input-file output/report/results/measure_rounded.csv
      --output-dir output/report/results/paper
      --measures-pattern "event_clinical_any_*_rate"
      --measures-pattern "event_medication_any_*_rate"
      --include-denominator
      --exclude-numerator
      --column-names "clinical_any:Any GAS Clinical Event" "medication_any:Any Antibiotic"
      --output-name "table1.html"
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        tables: output/report/results/paper/table1.html

  group_medications:
    run: >
      python:latest python analysis/report/group_medications.py
      --measure-path output/report/results/measure_rounded.csv
      --output-dir output/report/results/paper
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        tables: output/report/results/paper/grouped_measures.csv


  figure_1:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/measure_rounded.csv
      --measures-list "event_sore_throat_tonsillitis_rate"
      --measures-list "event_scarlet_fever_rate"
      --measures-list "event_invasive_strep_a_rate"
      --output-dir output/report/results/paper
      --output-name "gas_clinical_events"
      --date-lines "2020-03-01" "2021-03-01"
      --column-to-plot "numerator"
      --hide-legend
      --columns 1
      --base-fontsize 12
      --xtick-frequency 2
      --produce-season-table
      --mark-seasons
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/paper/gas_clinical_events.png
        tables: output/report/results/paper/gas_clinical_events_table.html

  figure_2:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/paper/grouped_measures.csv
      --measures-list "event_group-1_with_clinical_any_rate"
      --measures-list "event_group-2_with_clinical_any_rate"
      --measures-list "event_group-3_with_clinical_any_rate"
      --output-dir output/report/results/paper
      --output-name "grouped_medications_with"
      --date-lines "2020-03-01" "2021-03-01"
      --column-to-plot "numerator"
      --hide-legend
      --columns 1
      --base-fontsize 12
      --xtick-frequency 2
      --produce-season-table
      --mark-seasons
    needs: [group_medications]
    outputs:
      moderately_sensitive:
        measure: output/report/results/paper/grouped_medications_with.png
        tables: output/report/results/paper/grouped_medications_with_table.html

  pheno_panel_plot_paper:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/measure_rounded.csv
      --measures-list "event_phenoxymethylpenicillin_with_clinical_any_age_band_rate"
      --measures-list "event_phenoxymethylpenicillin_with_clinical_any_region_rate"
      --measures-list "event_phenoxymethylpenicillin_with_clinical_any_ethnicity_rate"
      --measures-list "event_phenoxymethylpenicillin_with_clinical_any_imd_rate"
      --order "age_band" "region" "ethnicity" "imd"
      --output-dir output/report/results/paper
      --output-name "phenoxymethylpenicillin_with_clinical_any_by_subgroup"
      --exclude-group "Missing"
      --scale "rate"
      --xtick-frequency 2
      --produce-season-table
      --base-fontsize 12
      --columns 1
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/paper/phenoxymethylpenicillin_with_clinical_any_by_subgroup.png
        table_age: output/report/results/paper/event_phenoxymethylpenicillin_with_clinical_any_age_band_rate_table.html
        table_region: output/report/results/paper/event_phenoxymethylpenicillin_with_clinical_any_region_rate_table.html

  supplemental_antibiotics_groups:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/paper/grouped_measures.csv
      --measures-list "event_group-1_rate"
      --measures-list "event_group-2_rate"
      --measures-list "event_group-3_rate"
      --output-dir output/report/results/paper
      --output-name "grouped_medications"
      --date-lines "2020-03-01" "2021-03-01"
      --column-to-plot "numerator"
      --hide-legend
      --columns 1
      --base-fontsize 12
      --xtick-frequency 2
      --produce-season-table
      --mark-seasons
    needs: [group_medications]
    outputs:
      moderately_sensitive:
        measure: output/report/results/paper/grouped_medications.png
        tables: output/report/results/paper/grouped_medications_table.html


  supplemental_antibiotic_with_gas:
    run: >
      python:latest python analysis/report/panel_plots.py
      --input-file output/report/results/measure_rounded.csv
      --measures-pattern "event_*_with_clinical_any_rate"
      --output-dir output/report/results/paper
      --output-name "antibiotic_with_clinical_any"
      --date-lines "2020-03-01" "2021-03-01"
      --column-to-plot "numerator"
      --hide-legend
      --columns 1
      --base-fontsize 12
      --xtick-frequency 2
      --produce-season-table
      --mark-seasons
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        measure: output/report/results/paper/antibiotic_with_clinical_any.png
        tables: output/report/results/paper/antibiotic_with_clinical_any_table.html

  supplemental_table_with_pcnt:
    run: >
      python:latest python analysis/report/pcnt_table.py
      --input-file output/report/results/measure_rounded.csv
      --output-dir output/report/results/paper
    needs: [join_measures_rounded]
    outputs:
      moderately_sensitive:
        tables: output/report/results/paper/pcnt_with_indication.html