generated from opensafely/research-template
/
project.yaml
244 lines (220 loc) · 8.73 KB
/
project.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
version: "3.0"
expectations:
population_size: 5000
actions:
# Other data
# ----------
# Add actions for other data to this section. Prefix them with a suitable name; place
# scripts in a similarly named sub-directory of the analysis directory; write outputs
# to a similarly named sub-directory of the output directory.
#
# For example, let's call our other data "metrics". We would prefix our actions
# "metrics_"; we would place our scripts in analysis/metrics; we would write outputs
# to output/metrics.
# Metrics data
# ------------
metrics_generate_study_dataset_winter:
run: cohortextractor:latest generate_cohort --study-definition study_definition
--index-date-range '2021-12-01 to 2022-03-30 by month' --output-dir=output/metrics
--output-format=feather
outputs:
highly_sensitive:
extract: output/metrics/input_*.feather
metrics_generate_study_dataset_summer:
run: cohortextractor:latest generate_cohort --study-definition study_definition
--index-date-range '2021-06-01 to 2021-09-30 by month' --output-dir=output/metrics
--output-format=feather
outputs:
highly_sensitive:
extract: output/metrics/input*.feather
metrics_generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition
--output-dir=output/metrics
needs:
- metrics_generate_study_dataset_summer
- metrics_generate_study_dataset_winter
outputs:
highly_sensitive:
measure_csv: output/metrics/measure_*_rate.csv
metrics_generate_single_metric:
run: r:latest analysis/metrics/single_metric.R
needs:
- metrics_generate_measures
outputs:
moderately_sensitive:
png1: output/metrics/summer_winter_difference_histogram.png
png2: output/metrics/summer_winter_ratio_histogram.png
csv1: output/metrics/summer_winter_difference_histogram_data.csv
csv2: output/metrics/summer_winter_ratio_histogram_data.csv
# Appointments data
# -----------------
appointments_generate_dataset_sql:
run: >
sqlrunner:latest
analysis/appointments/dataset_query.sql
--output output/appointments/dataset_long.csv.gz
--dummy-data-file analysis/appointments/dummy_dataset_long.csv.gz
outputs:
highly_sensitive:
dataset: output/appointments/dataset_long.csv.gz
# appointments_generate_dataset:
# run: >
# databuilder:v0
# generate-dataset
# analysis/appointments/dataset_definition.py
# --output output/appointments/dataset_wide.arrow
# outputs:
# highly_sensitive:
# dataset: output/appointments/dataset_wide.arrow
# appointments_get_freq_na_values:
# run: >
# python:latest
# python
# -m analysis.appointments.get_freq_na_values
# needs: [appointments_generate_dataset]
# outputs:
# moderately_sensitive:
# dataset: output/appointments/freq_na_values.csv
# appointments_reshape_dataset:
# run: >
# python:latest
# python
# -m analysis.appointments.reshape_dataset
# needs: [appointments_generate_dataset]
# outputs:
# highly_sensitive:
# dataset: output/appointments/dataset_long.arrow
appointments_generate_lead_time_measure_by_booked_month:
run: >
python:latest
python
-m analysis.appointments.generate_median_lead_time_measure
--value-col lead_time_in_days
--index-cols booked_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_median_lead_time_in_days_by_booked_month.csv
appointments_generate_lead_time_measure_by_start_month:
run: >
python:latest
python
-m analysis.appointments.generate_median_lead_time_measure
--value-col lead_time_in_days
--index-cols start_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_median_lead_time_in_days_by_start_month.csv
appointments_generate_num_appointments_measure_by_start_month:
run: >
python:latest
python
-m analysis.appointments.generate_num_appointments_measure
--index-cols start_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_num_appointments_by_start_month.csv
appointments_generate_num_appointments_measure_by_booked_month:
run: >
python:latest
python
-m analysis.appointments.generate_num_appointments_measure
--index-cols booked_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_num_appointments_by_booked_month.csv
appointments_generate_num_unique_patients_measure_by_booked_month:
run: >
python:latest
python
-m analysis.appointments.generate_num_unique_patients_measure
--unique-col patient_id
--index-cols booked_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_num_unique_patients_by_booked_month.csv
appointments_generate_num_unique_patients_measure_by_start_month:
run: >
python:latest
python
-m analysis.appointments.generate_num_unique_patients_measure
--unique-col patient_id
--index-cols start_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_num_unique_patients_by_start_month.csv
appointments_generate_proportion_same_day_lead_time_measure_by_booked_month:
run: >
python:latest
python
-m analysis.appointments.generate_proportion_lead_time_measure
--value-col lead_time_in_days
--value-threshold 0
--index-cols booked_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_proportion_lead_time_in_days_within_0days_by_booked_month.csv
appointments_generate_proportion_same_day_lead_time_measure_by_start_month:
run: >
python:latest
python
-m analysis.appointments.generate_proportion_lead_time_measure
--value-col lead_time_in_days
--value-threshold 0
--index-cols start_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_proportion_lead_time_in_days_within_0days_by_start_month.csv
appointments_generate_proportion_two_day_lead_time_measure_by_booked_month:
run: >
python:latest
python
-m analysis.appointments.generate_proportion_lead_time_measure
--value-col lead_time_in_days
--value-threshold 2
--index-cols booked_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_proportion_lead_time_in_days_within_2days_by_booked_month.csv
appointments_generate_proportion_two_day_lead_time_measure_by_start_month:
run: >
python:latest
python
-m analysis.appointments.generate_proportion_lead_time_measure
--value-col lead_time_in_days
--value-threshold 2
--index-cols start_month practice
needs: [appointments_generate_dataset_sql]
outputs:
moderately_sensitive:
measure: output/appointments/measure_proportion_lead_time_in_days_within_2days_by_start_month.csv
appointments_generate_deciles_charts:
run: >
deciles-charts:v0.0.33
--input-files output/appointments/measure_*.csv
--output-dir output/appointments
config:
show_outer_percentiles: true
needs:
- appointments_generate_lead_time_measure_by_booked_month
- appointments_generate_lead_time_measure_by_start_month
- appointments_generate_num_appointments_measure_by_start_month
- appointments_generate_num_appointments_measure_by_booked_month
- appointments_generate_num_unique_patients_measure_by_start_month
- appointments_generate_num_unique_patients_measure_by_booked_month
- appointments_generate_proportion_two_day_lead_time_measure_by_start_month
- appointments_generate_proportion_two_day_lead_time_measure_by_booked_month
- appointments_generate_proportion_same_day_lead_time_measure_by_start_month
- appointments_generate_proportion_same_day_lead_time_measure_by_booked_month
outputs:
moderately_sensitive:
deciles_charts: output/appointments/deciles_chart_*.png
deciles_tables: output/appointments/deciles_table_*.csv