wamtram: Top-level Turtle Tagging data import Drake Plan

In dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

Top-level Turtle Tagging data import Drake Plan

Description

• Download all turtle tagging data (no attachments)

• Load existing nesting records from WAStD: load only a minimal set of source, source ID, QA status to determine later what to create / update / skip:

  • does not exist in WAStD: create (POST)

  • exists in WAStD with status "new": update (PATCH)

  • exists in WAStD with status higher than "new": skip (and message)

  • Make (transform) ODKC to WAStD data

  • Load transformed data into WAStD's API (create/update/skip)

  • No QA

Usage

wamtram()

Examples

## Not run: 
wastdr::wastdr_setup(
  api_url = Sys.getenv("WASTDR_API_DEV_URL"),
  api_token = Sys.getenv("WASTDR_API_DEV_TOKEN")
)
wastdr::wastdr_setup(
  api_url = Sys.getenv("WASTDR_API_TEST_URL"),
  api_token = Sys.getenv("WASTDR_API_TEST_TOKEN")
)
wastdr::wastdr_setup(
  api_url = Sys.getenv("WASTDR_API_URL"),
  api_token = Sys.getenv("WASTDR_API_TOKEN")
)

library(etlTurtleNesting)
library(wastdr)
library(drake)

Sys.setenv(W2_IMPORT_UPDATE_EXISTING = TRUE)
Sys.setenv(W2_IMPORT_UPDATE_EXISTING = FALSE)

visNetwork::visSave(vis_drake_graph(wamtram()), "drake_graph.html")
drake::vis_drake_graph(wamtram())
drake::clean()
drake::clean("user_qa")
drake::make(plan = etlTurtleNesting::wamtram())
drake::make(plan = etlTurtleNesting::wamtram(), targets = c("user_qa"))
drake::make(etlTurtleNesting::wamtram(), lock_envir = FALSE)

deps_code(quote(knitr_in("doc/qa_sites_w2.Rmd")))
deps_code(quote(knitr_in("doc/qa_users_w2.Rmd")))

## End(Not run)

dbca-wa/etlTurtleNesting documentation built on Nov. 18, 2022, 8:03 a.m.