#' raw data query for BSAI arrowtooth flounder
#'
#' @param year assessment year
#' @param off_yr if this is an off-year assessment change to TRUE
#'
#' @return a suite of raw data .csv files and a time stamp of when the query was done
#' @export bsai_atf
#'
#' @examples
#' \dontrun{
#' bsai_atf(year = 2022, off_yr = FALSE)
#'}
bsai_atf <- function(year, off_yr = FALSE){
# globals
area = "BSAI"
species = "ARTH"
afsc_species = 10110
norpac_species = 141
akfin = connect()
q_catch(year, species=species, area=area, db=akfin)
q_fish_obs(year, species=norpac_species, area=area, db=akfin)
q_bts_biomass(year, area="BS", species=afsc_species, db=akfin, save=F) %>%
dplyr::mutate(species_code = as.numeric(species_code)) %>%
dplyr::select(survey, year, species_code, haul_count=haulcount, catch_count=catcount,
mean_wgt_cpue = meanwgtcpue, var_wgt_cpue = varmnwgtcpue,
mean_num_cpue = meannumcpue, var_num_cpue = varmnnumcpue,
total_biomass = biomass, biomass_var=varbio,
min_biomass=lowerb, max_biomass = upperb, total_pop = population,
pop_var = varpop, min_pop = lowerp, max_pop = upperp, akfin_load_date) %>%
dplyr::bind_rows(q_bts_biomass(year, area="AI", species=afsc_species, db=akfin, save=F)) %>%
vroom::vroom_write(here::here(year, "data", "raw", "bts_biomass_data.csv"), delim = ",")
if(isTRUE(off_yr)) {
disconnect(akfin)
} else {
q_fsh_specimen(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE)
q_fsh_length(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE)
disconnect(akfin)
afsc = connect("afsc")
q_bts_specimen(year, species=afsc_species, area, db=afsc)
q_bts_length(year, species=afsc_species, area, db=afsc)
disconnect(afsc)
}
# read in archived catch data
# afscdata::goa_atf_catch_1961_1990 %>%
# vroom::vroom_write(here::here(year, "data", "user_input", "goa_atf_catch_1961_1990.csv"), ",")
# timestamp
q_date(year)
}
#' raw data query for BSAI flathead sole
#'
#' @param year assessment year
#' @param off_yr if this is an off-year assessment change to TRUE
#'
#' @return a suite of raw data .csv files and a time stamp of when the query was done
#' @export bsai_fhs
#'
#' @examples
#' \dontrun{
#' bsai_fhs(year = 2022, off_yr = FALSE)
#'}
bsai_fhs<- function(year, off_yr = FALSE){
message("This script will only return fishery catches and fishery compositions. \n
The reformatting of these data, and the download \n
of survey comp data, are accomplished in a standalone script to avoid dependency \n
on GAPINDEX at this time.")
# globals
area = "BSAI"
species = "FSOL"
afsc_species = c(10130, 10140) # fhs, bering flounder
norpac_species = c(103, 145)
akfin = connect()
q_catch(year, species=species, area=area, db=akfin)
q_fish_obs(year, species=norpac_species, area=area, db=akfin)
if(isTRUE(off_yr)) {
disconnect(akfin)
} else {
q_fsh_specimen(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE, add_fields='sex')
q_fsh_length(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE)
disconnect(akfin)
}
# timestamp
q_date(year)
}
#' raw data query for BSAI northern rocksole
#'
#' @param year assessment year
#' @param off_yr if this is an off-year assessment change to TRUE
#'
#' @return a suite of raw data .csv files and a time stamp of when the query was done
#' @export bsai_nrs
#'
#' @examples
#' \dontrun{
#' bsai_atf(year = 2022, off_yr = FALSE)
#'}
bsai_nrs <- function(year, off_yr = FALSE){
# globals
area = "BSAI"
species = "RSOL"
# flag - what's this code supposed to be?
# afsc_species = 10110
norpac_species = c(104, 120)
akfin = connect()
q_catch(year, species=species, area=area, db=akfin, save = FALSE)
q_fish_obs(year, species=norpac_species, area=area, db=akfin)
q_bts_biomass(year, area="BS", species=afsc_species, db=akfin, save=F) %>%
dplyr::mutate(species_code = as.numeric(species_code)) %>%
dplyr::select(survey, year, species_code, haul_count=haulcount, catch_count=catcount,
mean_wgt_cpue = meanwgtcpue, var_wgt_cpue = varmnwgtcpue,
mean_num_cpue = meannumcpue, var_num_cpue = varmnnumcpue,
total_biomass = biomass, biomass_var=varbio,
min_biomass=lowerb, max_biomass = upperb, total_pop = population,
pop_var = varpop, min_pop = lowerp, max_pop = upperp, akfin_load_date) %>%
dplyr::bind_rows(q_bts_biomass(year, area="AI", species=afsc_species, db=akfin, save=F)) %>%
vroom::vroom_write(here::here(year, "data", "raw", "bts_biomass_data.csv"), delim = ",")
if(isTRUE(off_yr)) {
disconnect(akfin)
} else {
q_fsh_specimen(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE)
q_fsh_length(year, species=norpac_species, area, db=akfin, print_sql=FALSE, save=TRUE)
disconnect(akfin)
afsc = connect("afsc")
q_bts_specimen(year, species=afsc_species, area, db=afsc)
q_bts_length(year, species=afsc_species, area, db=afsc)
disconnect(afsc)
}
# read in archived catch data
# afscdata::goa_atf_catch_1961_1990 %>%
# vroom::vroom_write(here::here(year, "data", "user_input", "goa_atf_catch_1961_1990.csv"), ",")
# timestamp
q_date(year)
}
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