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upload_tests.R
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upload_tests.R
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library(tidyverse)
library(odbc)
library(DBI)
library(testthat)
# read in NCDR tables
con <- dbConnect(odbc::odbc(), "NCDR")
bpe <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_BPE_backup]")
contract <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_Contracts_backup]")
npp <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_NPP_Eligible_Activity_backup]")
uda <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_UDA_Activity_backup]")
dcp <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_DCP_backup]")
uda_fd <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_UDA_Activity_FD_only_backup]")
unique <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_Unique_rolling_backup]")
uoa <- dbGetQuery(con, "SELECT * FROM [NHSE_Sandbox_PrimaryCareNHSContracts].[Dental].[Calendar_UOA_Activity_backup]")
#### TESTS ####
test_that("No duplicated rows - NPP",{
rows <- npp %>%
group_by(YEAR_MONTH) %>%
count()
unique_contracts <- npp %>%
select(YEAR_MONTH, CONTRACT_NUMBER) %>%
distinct() %>%
group_by(YEAR_MONTH) %>%
count()
print("Unique contract numbers match number of rows (no duplicates) - NPP")
expect_equal(rows, unique_contracts)
})
test_that("No duplicated rows - UDA Activity",{
rows <- uda %>%
group_by(YEAR_MONTH) %>%
count()
unique_contracts <- uda %>%
select(YEAR_MONTH, CONTRACT_NUMBER) %>%
distinct() %>%
group_by(YEAR_MONTH) %>%
count()
print("Unique contract numbers match number of rows (no duplicates) - UDA Activity")
expect_equal(rows, unique_contracts)
})
test_that("No duplicated rows - UDA FD only",{
rows <- uda_fd %>%
group_by(YEAR_MONTH) %>%
count()
unique_contracts <- uda_fd %>%
select(YEAR_MONTH, CONTRACT_NUMBER) %>%
distinct() %>%
group_by(YEAR_MONTH) %>%
count()
print("Unique contract numbers match number of rows (no duplicates) - UDA FD only")
expect_equal(rows, unique_contracts)
})
test_that("No duplicated rows - UOA",{
rows <- uoa %>%
group_by(YEAR_MONTH) %>%
count()
unique_contracts <- uoa %>%
select(YEAR_MONTH, CONTRACT_NUMBER) %>%
distinct() %>%
group_by(YEAR_MONTH) %>%
count()
print("Unique contract numbers match number of rows (no duplicates) - UOA")
expect_equal(rows, unique_contracts)
})
#### DATA FRAME CHECKS ####
check_contract <- contract %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uda_target = sum(CONTRACTED_UDA, na.rm = TRUE),
total_uoa_target = sum(CONTRACTED_UOA, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uda_change = total_uda_target - lag(total_uda_target),
monthly_uoa_change = total_uoa_target - lag(total_uoa_target))
check_npp <- npp %>%
filter(EXCLUDE_FROM_NPT == "N") %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_adult = sum(BAND1_ADULT_COUNT, BAND23_ADULT_COUNT, na.rm = TRUE),
total_child = sum(BAND1_CHILD_COUNT, BAND23_CHILD_COUNT, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_adult_change = total_adult - lag(total_adult),
monthly_child_change = total_child - lag(total_child))
check_uda <- uda %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uda_delivered = sum(UDA_DELIVERED, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uda_change = total_uda_delivered - lag(total_uda_delivered))
check_dcp <- dcp %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uda_delivered = sum(UDA_DELIVERED, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uda_change = total_uda_delivered - lag(total_uda_delivered))
check_uda_fd <- uda_fd %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uda_delivered = sum(UDA_DELIVERED, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uda_change = total_uda_delivered - lag(total_uda_delivered))
check_unique <- unique %>%
group_by(YEAR_MONTH) %>%
summarise(total_all = sum(ALL_12M_COUNT, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_change = total_all - lag(total_all))
check_uoa <- uoa %>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uoa_delivered = sum(UOA_DELIVERED, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uoa_change = total_uoa_delivered - lag(total_uoa_delivered))
check_uoa_2 <- uoa %>%
filter(COMMISSIONER_CODE=='QKK')%>%
group_by(YEAR_MONTH) %>%
summarise(n_contracts = n_distinct(CONTRACT_NUMBER),
total_uoa_delivered = sum(UOA_DELIVERED, na.rm = TRUE),
total_uoa_target = sum(UOA_PERF_TAR, na.rm = TRUE)) %>%
arrange(YEAR_MONTH) %>%
mutate(monthly_contract_change = n_contracts - lag(n_contracts),
monthly_uoa_change = total_uoa_delivered - lag(total_uoa_delivered),
monthly_uoa_target_change = total_uoa_target - lag(total_uoa_target))