library(dplyr)
dc <- file.path("report", "data-cache")
if (!file.exists(file.path(dc, "pacific-ocean-perch.rds"))) { # a random check
gfsynopsis::get_data(type = "A", path = dc)
}
spp <- gfsynopsis:::get_spp_names() %>% filter(type == "A")
spp <- filter(spp, species_common_name != "pacific hake")
out <- list()
for (i in seq_along(spp$species_common_name)) {
dat <- readRDS(paste0(file.path(dc, spp$spp_w_hyphens[i]), ".rds"))
d <- dat$survey_index
out[[i]] <- d
}
dat <- bind_rows(out)
dat <- filter(dat, survey_abbrev %in%
c("HBLL OUT N", "HBLL OUT S", "SYN WCHG", "SYN WCVI",
"SYN HS", "HBLL INS N", "HBLL INS S", "SYN QCS"
)) %>%
arrange(survey_abbrev, species_common_name, year) %>%
select(-survey_series_id)
glimpse(dat)
readr::write_csv(dat, "pbs-gf-trawl-hbll.csv")
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