## ---- include = FALSE---------------------------------------------------------
dir <- tempdir()
knitr::opts_knit$set(root.dir = normalizePath(tempdir(), winslash = '/'))

NOT_CRAN <- (Sys.getenv("NOT_CRAN") == "" || identical(tolower(Sys.getenv("NOT_CRAN")), "true")) && # don't run some chunks on CRAN
  dynwrap::test_docker_installation() # also don't run if docker is not available

knitr::opts_knit$get("root.dir")

## ----setup, message = FALSE---------------------------------------------------
library(dynwrap)
library(dplyr)

## ---- echo = FALSE------------------------------------------------------------
definition_string <- paste0(readLines(system.file("examples/docker/definition.yml", package = "dynwrap")), collapse = "\n")

readr::write_file(definition_string, "definition.yml")
knitr::asis_output(paste0("```yaml\n", definition_string, "\n```"))

## ---- echo = FALSE------------------------------------------------------------
run_py_script <- paste0(readLines(system.file("examples/docker/run.py", package = "dynwrap")), collapse = "\n")

readr::write_file(run_py_script, "run.py")
knitr::asis_output(paste0("```python\n", run_py_script, "\n```"))

## ---- echo = FALSE, warning = FALSE-------------------------------------------
docker_file <- paste0(readLines(system.file("examples/docker/Dockerfile", package = "dynwrap")), collapse = "\n")

readr::write_file(docker_file, "Dockerfile")
knitr::asis_output(paste0("```Dockerfile\n", docker_file, "\n```"))

## ---- eval=NOT_CRAN-----------------------------------------------------------
system("docker build -t my_ti_method .")

## ---- eval=NOT_CRAN, error=TRUE-----------------------------------------------
method <- create_ti_method_container("my_ti_method")
dataset <- dynwrap::example_dataset
trajectory <- infer_trajectory(dataset, method(), verbose = TRUE)

## ---- eval=FALSE--------------------------------------------------------------
#  library(dynplot)
#  # for now, install from github using:
#  # remotes::install_github("dynverse/dynplot")
#  plot_graph(trajectory)
#  plot_heatmap(trajectory, expression_source = dataset$expression)

## ---- echo = FALSE------------------------------------------------------------
example_script <- "#!/usr/bin/env Rscript

dataset <- dynwrap::example_dataset

file <- commandArgs(trailingOnly = TRUE)[[1]]
dynutils::write_h5(dataset, file)
"

readr::write_file(example_script, "example.sh")
knitr::asis_output(paste0("```R\n", example_script, "\n```"))

## ---- eval=NOT_CRAN, error=TRUE-----------------------------------------------
dataset <- dynutils::read_h5("example.h5")
trajectory <- infer_trajectory(dataset, method())