# so far just a list of expectations for incoming data
#1 Incoming threats data should have unique combination of uID and threat_num
# db_2021_th %>% mutate(threat_num = str_replace(threat_num, ",", ".")) %>%
# group_by(uID, threat_num) %>%
# summarise(N = n()) %>%
# filter(N > 1)
#2 threat_num should have . for decimal not , and generally match expected values
#3 Need to handle mixed dates in inputs ie sometimes it is just a year sometimes
# excel formatted date
# db_2021_th <- mutate(
# db_2021_th,
# TC_date = case_when(nchar(TC_date) == 6 ~ str_replace(TC_date, "\\.0", ""),
# TRUE ~ TC_date) %>%
# janitor::convert_to_date(
# character_fun = function(x){
# lubridate::parse_date_time(x, orders = c("Y", "Ydm"), truncated = 3) %>%
# as.Date()
# })
# )
#4 In the future the Threats Calculator data sheet should also include the docID
#from the extracted data sheet to make sure that the correct TC data is recorded
#for each doc if it is included in both.
#5 All rows in TC_columns should be the same
#6 uID can never be NA
#7 If there are level 2 impacts (even negligible) there must be level 1 impacts.
#If only 1 level 2 scores for level 1 are same. If multiple, scores for level 1
#are combination based on overlap (can't automate).
#8 Threats calculator values must be in expected strings see format_threats threat_code
#9 All action subtypes are in list
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