Job request: 24784
- Organisation:
- UKHSA
- Workspace:
- main_branch
- ID:
- mtypta3unpumkmbs
This page shows the technical details of what happened when the authorised researcher Megan Griffiths requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the list of jobs with the
pipeline section below, you can infer what
security level
various outputs were written to. Researchers can never directly
view outputs marked as
highly_sensitive
;
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
-
- Job identifier:
-
baa47m6mr47oo6nv
- Error:
- nonzero_exit: Job exited with an error
Pipeline
Show project.yaml
version: '4.0'
actions:
generate_dataset:
run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset.csv.gz
outputs:
highly_sensitive:
dataset: output/dataset.csv.gz
raw_data_overview:
run: r:v2 analysis/raw_data_overview.R output/dataset.csv.gz output/overview/ TRUE
needs:
- generate_dataset
outputs:
moderately_sensitive:
txt: output/overview/dataset*.txt
dataset_cleaning:
run: r:v2 analysis/dataset_cleaning.R
needs:
- generate_dataset
outputs:
highly_sensitive:
df_clean: output/dataset_clean/dataset_clean.csv.gz
clean_data_overview:
run: r:v2 analysis/raw_data_overview.R output/dataset_clean/dataset_clean.csv.gz output/dataset_clean/overview/ TRUE
needs:
- generate_dataset
- dataset_cleaning
outputs:
moderately_sensitive:
txt: output/dataset_clean/overview/dataset*.txt
dataset_processing:
run: r:v2 analysis/dataset_processing.R
needs:
- generate_dataset
- dataset_cleaning
outputs:
highly_sensitive:
df_all_counts: output/dataset_processed/processed_counts_midpoint_rounded_n.csv.gz
moderately_sensitive:
df_all_counts_sub1: output/dataset_processed/subset/processed_counts_midpoint_rounded_n.csv
df_all_props_sub1: output/dataset_processed/subset/processed_counts_midpoint_rounded_proportions_n.csv
processed_data_overview1:
run: r:v2 analysis/raw_data_overview.R output/dataset_processed/processed_counts_midpoint_rounded.csv.gz output/dataset_processed/midpoint_rounded/overview/ FALSE
needs:
- generate_dataset
- dataset_cleaning
- dataset_processing
outputs:
moderately_sensitive:
txt: output/dataset_processed/midpoint_rounded/overview/dataset*.txt
post_processing_analysis:
run: r:v2 analysis/post_processing_analysis.R
needs:
- generate_dataset
- dataset_cleaning
- dataset_processing
outputs:
moderately_sensitive:
ethnic_age_box_png: output/dataset_processed/midpoint_rounded/analysis/plots/ethnicity_age_boxplot.png
ethnic_region_box_png: output/dataset_processed/midpoint_rounded/analysis/plots/ethnicity_region_boxplot.png
ethnic_region_tile_png: output/dataset_processed/midpoint_rounded/analysis/plots/ethnicity_region_heatmap.png
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:03:23
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- main_branch
- Requested by
- Megan Griffiths
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 7d5dbcf
- Requested actions
-
-
dataset_processing
-
Code comparison
Compare the code used in this Job Request