#' Title
#'
#' @param report_date
#' @param d2_session
#'
#' @return
#' @export
#'
prepareStepDTopupReport <- function(report_date, d2_session) {
d <- list()
d <- createReportInfo(report_date)
d$raw_data <- getStepDTopUpData(report_date, d2_session)
#Get the raw data
d$facility_report <- d$raw_data %>%
dplyr::filter(qualifies & contact_phone_operator != "Unknown") %>%
dplyr::select(contact_phone_operator,
airtime_donor,
contact_phone,
period_age) %>%
dplyr::mutate(
amount = dplyr::case_when(
period_age <= 10 ~ 20,
period_age > 10 &
period_age <= 30 ~ 15,
period_age > 30 &
period_age <= 60 ~ 10,
period_age > 60 ~ 5
)
) %>%
dplyr::group_by(contact_phone_operator,
airtime_donor,
contact_phone) %>%
dplyr::summarise(amount = sum(amount), .groups = "drop") %>%
dplyr::arrange(desc(amount)) %>%
dplyr::mutate(VoucherType = "Direct-Topup") %>%
dplyr::select(ServiceProvider = contact_phone_operator,
VoucherType,
Recipient = contact_phone,
Amount = amount,
airtime_donor)
d$facility_bad_numbers <- d$raw_data %>%
dplyr::filter(bad_facility_number) %>%
dplyr::select(district, orgunit_name, contact_phone) %>%
dplyr::distinct() %>%
dplyr::arrange(district, orgunit_name)
d$data_chw_report <- d$raw_data %>%
dplyr::filter(qualifies & data_chw_phone_operator != "Unknown") %>%
dplyr::select(airtime_donor, data_chw_phone, data_chw_phone_operator) %>%
dplyr::group_by(airtime_donor, data_chw_phone, data_chw_phone_operator) %>%
dplyr::summarise(amount = dplyr::n() * 4, .groups = "drop") %>%
dplyr::mutate(VoucherType = "Direct-Topup") %>%
dplyr::select(ServiceProvider = data_chw_phone_operator,
VoucherType,
Recipient = data_chw_phone,
Amount = amount,
airtime_donor)
d$data_chw_bad_numbers <- d$raw_data %>%
dplyr::filter(bad_chw_number) %>%
dplyr::select(district, orgunit_name, data_chw_name,
data_chw_phone, storedby) %>%
dplyr::distinct()
d
}
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