@@ -32,17 +32,19 @@ def test_output_files_exist(self, run_as_module, date):
3232 "202025" ,
3333 "202026" ,
3434 ]
35- metrics = [
36- 'covid_deaths' , 'total_deaths' , 'pneumonia_deaths' ,
37- 'pneumonia_and_covid_deaths' , 'influenza_deaths' ,
38- 'pneumonia_influenza_or_covid_19_deaths'
39- ]
35+ metrics = ['deaths_covid_incidence' ,
36+ 'deaths_allcause_incidence' ,
37+ 'deaths_percent_of_expected' ,
38+ 'deaths_pneumonia_notflu_incidence' ,
39+ 'deaths_covid_and_pneumonia_notflu_incidence' ,
40+ 'deaths_flu_incidence' ,
41+ 'deaths_pneumonia_or_flu_or_covid_incidence' ]
4042 sensors = ["num" , "prop" ]
4143
4244 expected_files = []
4345 for date in dates :
4446 for metric in metrics :
45- if metric == "percent_of_expected_deaths " :
47+ if metric == "deaths_percent_of_expected " :
4648 expected_files += ["weekly_" + date + "_state_wip_" \
4749 + metric + ".csv" ]
4850 else :
@@ -61,6 +63,6 @@ def test_output_file_format(self, run_as_module, date):
6163
6264 for output_folder in folders :
6365 df = pd .read_csv (
64- join (output_folder , "weekly_202026_state_wip_covid_deaths_prop .csv" )
66+ join (output_folder , "weekly_202026_state_wip_deaths_covid_incidence_prop .csv" )
6567 )
6668 assert (df .columns .values == ["geo_id" , "val" , "se" , "sample_size" ]).all ()
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