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add offset option for ENV Q #97

add offset option for ENV Q

add offset option for ENV Q #97

# Build SS3 and run models with estimation and hessian
name: run-ss3-bootstrap-files
on:
workflow_dispatch:
push:
paths:
- '**.tpl'
branches:
- main
pull_request:
types: ['opened', 'edited', 'reopened', 'synchronize', 'ready_for_review']
paths:
- '**.tpl'
branches:
- main
# run fast running SS3 models with estimation
jobs:
run-ss3-bootstrap-files:
if: github.event.pull_request.draft == false
runs-on: ubuntu-latest
env:
R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
R_KEEP_PKG_SOURCE: yes
steps:
- name: Checkout ss3 repo
uses: actions/checkout@v4
- name: Checkout models repo
uses: actions/checkout@v4
with:
repository: 'nmfs-ost/ss3-test-models'
path: test-models-repo
- name: install libcurl
run: |
sudo apt-get update
sudo apt-get install -y libcurl4-openssl-dev
- name: setup R
uses: r-lib/actions/setup-r@v2
# - name: Get admb and put in path, linux
# run: |
# wget https://github.com/admb-project/admb/releases/download/admb-13.1/admb-13.1-linux.zip
# sudo unzip admb-13.1-linux.zip -d /usr/local/bin
# sudo chmod 755 /usr/local/bin/admb-13.1/bin/admb
# echo "/usr/local/bin/admb-13.1/bin" >> $GITHUB_PATH
# - name: Build stock synthesis
# run: |
# rm -rf SS330
# mkdir SS330
# /bin/bash ./Make_SS_330_new.sh -b SS330
- name: Build stock synthesis with admb docker image
run: |
rm -rf SS330
rm -rf ss3_osx.tar
mkdir SS330
chmod 777 SS330
/bin/bash ./Make_SS_330_new.sh --admb docker -b SS330
- name: move exes, scripts to needed locations
run: |
mv test-models-repo/models test-models-repo/model_runs
mv SS330/ss3 test-models-repo/model_runs/Simple_with_DM_sizefreq/ss3
- name: change permissions on ss3 exes
run: sudo chmod a+x test-models-repo/model_runs/Simple_with_DM_sizefreq/ss3
- name: download R packages
run: Rscript -e 'install.packages(c("remotes", "purrr", "arsenal", "utils"))'
- name: install r4ss
run: Rscript -e 'remotes::install_github("r4ss/r4ss")'
- name: does ss3 produce bootstrap files
run: |
# Use Simple_with_DM_sizefreq model to test bootstrap files
boot_mod_dir <- grep("Simple_with_DM_sizefreq", list.dirs(file.path("test-models-repo", "model_runs"), full.names = TRUE, recursive = FALSE), value = TRUE)
# Change to have model output 8 bootstrap files
boot_files <- r4ss::SS_read(dir = boot_mod_dir)
boot_files$start$N_bootstraps <- 10
r4ss::SS_write(boot_files, dir = boot_mod_dir, overwrite = TRUE)
r4ss::run(dir = boot_mod_dir, exe = file.path(getwd(), "test-models-repo", "model_runs", "Simple_with_DM_sizefreq", "ss3"))
bootstrap_length <- length(list.files(boot_mod_dir, pattern = "data_boot"))
if(bootstrap_length != (boot_files$start$N_bootstraps - 2)){
stop("Did not produce the amount of bootstrap files specified.")
} else {
message("All bootstrap files produced.")
}
# Make sure values in echo and bootstrap files are different
dat <- r4ss::SS_readdat(file = file.path(boot_mod_dir,"data_echo.ss_new"))
boot1 <- r4ss::SS_readdat(file = file.path(boot_mod_dir,"data_boot_001.ss"))
boot2 <- r4ss::SS_readdat(file = file.path(boot_mod_dir,"data_boot_002.ss"))
# unlist sizefreq data
dat_sizefreq <- purrr::map_df(dat$sizefreq_data_list, ~.x)
boot1_sizefreq <- purrr::map_df(boot1$sizefreq_data_list, ~.x)
boot2_sizefreq <- purrr::map_df(boot2$sizefreq_data_list, ~.x)
df <- data.frame(
var = c("lencomp", "lencomp","catch","catch","CPUE","CPUE", "agecomp","agecomp","sizefreq","sizefreq"),
data_compare = rep(c("dat_boot1", "boot1_boot2"), 5),
n_diff = c(
sum(summary(arsenal::comparedf(dat$lencomp, boot1$lencomp))$diffs.byvar.table$n),
sum(summary(arsenal::comparedf(boot1$lencomp, boot2$lencomp))$diffs.byvar.table$n),
length(summary(arsenal::comparedf(dat$catch, boot1$catch, int.as.num = TRUE))$diffs.table$row.x),
length(summary(arsenal::comparedf(dat$catch, boot1$catch, int.as.num = TRUE))$diffs.table$row.x),
length(summary(arsenal::comparedf(dat$CPUE, boot1$CPUE, int.as.num = TRUE))$diffs.table$row.x),
length(summary(arsenal::comparedf(boot1$CPUE, boot2$CPUE, int.as.num = TRUE))$diffs.table$row.x),
sum(summary(arsenal::comparedf(dat$agecomp, boot1$agecomp))$diffs.byvar.table$n),
sum(summary(arsenal::comparedf(boot1$agecomp, boot2$agecomp))$diffs.byvar.table$n),
sum(summary(arsenal::comparedf(dat_sizefreq, boot1_sizefreq))$diffs.byvar.table$n),
sum(summary(arsenal::comparedf(boot1_sizefreq, boot2_sizefreq))$diffs.byvar.table$n)
)
)
df_error <- df |>
dplyr::filter(dplyr::if_any(dplyr::where(is.numeric), ~ .x < 20))
print_and_capture <- function(x){
paste(utils::capture.output(print(x)), collapse = "\n")
}
if(length(df_error > 0)){
stop("Bootstrap data produced less than 20 changes in a data type, see printed table below.\n", print_and_capture(df_error))
} else {
message("Bootstrap data types all have > 20 changes")
}
# Check that the model produced all .ss_new files and that they have content in them
ss_new_files <- list.files(boot_mod_dir, pattern = ".ss_new")
ss_new_validate <- c("control.ss_new", "data_echo.ss_new", "forecast.ss_new", "starter.ss_new", "wtatage.ss_new")
new_dif <- setdiff(ss_new_files, ss_new_validate)
if(length(new_dif) > 0){
stop("Not all .ss_new files were produced")
} else {
message("All .ss_new files produced")
}
ss_new_length <- purrr::map(ss_new_files, ~length(readLines(file.path(boot_mod_dir, .x))))
ss_new_too_short <- any(ss_new_length |> purrr::map_lgl(~.x < 10))
if(ss_new_too_short == TRUE){
stop("Error producing all lines in one or more .ss_new files")
} else {
message("All .ss_new files seem to be appropriate length")
}
shell: Rscript {0}