# update_owners.R
# Weekly update script. Reads fresh SCPA property data, joins to stable
# geometry lookup by account_number, saves data/owners.rds.
# Only the SCPA xlsx needs to be replaced to refresh ownership data.
# Input:  data-raw/property/SCPA Public.xlsx  (replace weekly)
#         data-raw/addresses/geometry_lookup.rds  (static)
# Output: data/owners.rds

library(readxl)
library(janitor)
library(dplyr)
library(stringr)
library(sf)

options(timeout = 300)

subdivisions <- c(
  "8120", "8113", "8171", "8195", "8221",
  "8163", "8240", "8159", "8149", "8110", "8254", "8215", "8143"
)

# load geometry lookup (static) ----
geometry_lookup <- readRDS("./data-raw/addresses/geometry_lookup.rds")

# load and clean scpa data ----
owners_raw <-
  readxl::read_xlsx(
    path = "./data-raw/property/SCPA Public.xlsx",
    n_max = Inf,
    .name_repair = ~janitor::make_clean_names(.x)
  ) |>
  filter(subdivision %in% subdivisions) |>
  rename(
    situs_address = situs_address_property_address,
    homestead     = homestead_exemption_yes_or_no
  ) |>
  filter(!is.na(situs_address)) |>
  filter(!grepl("^0", situs_address)) |>
  mutate(
    # extract clean street address (before multiple spaces / unit suffix)
    label    = str_trim(str_extract(situs_address, "^\\d+\\s+\\S+\\s+\\S+")),
    location = paste0(label, ", Venice FL")
  ) |>
  select(account_number, owner_1, owner_2, subdivision, homestead, label, location,
         mailing_address_1, mailing_address_2, mailing_city, mailing_state, mailing_zip_code)

# join to geometry ----
owners <- owners_raw |>
  inner_join(geometry_lookup, by = "account_number") |>
  st_as_sf(sf_column_name = "geom")

# report any unmatched records ----
n_unmatched <- nrow(owners_raw) - nrow(owners)
if (n_unmatched > 0) {
  cat("WARNING:", n_unmatched, "records had no matching geometry and were dropped.\n")
  missing <- anti_join(owners_raw, st_drop_geometry(geometry_lookup), by = "account_number")
  print(missing)
}

# report most recent sale date in st. andrews ----
latest_sale <-
  readxl::read_xlsx(
    path = "./data-raw/property/SCPA Public.xlsx",
    n_max = Inf,
    .name_repair = ~janitor::make_clean_names(.x)
  ) |>
  filter(subdivision %in% subdivisions) |>
  select(account_number, owner_1, contains("sale")) |>
  filter(!is.na(account_number)) |>
  mutate(last_sale_date = as.Date(last_sale_date, format = "%m/%d/%Y")) |>
  arrange(desc(last_sale_date)) |>
  head(1)

cat("Owners written:", nrow(owners), "\n")
attr(owners, "last_sale_date") <- latest_sale$last_sale_date
saveRDS(owners, "./data/owners.rds")
cat("Saved to data/owners.rds\n")
cat("Most recent sale date:", format(latest_sale$last_sale_date, "%B %d, %Y"), "\n")