#' parameter-name
#'
#' Add a point-estimate to the data registry
#'
library(SCRCdataAPI)
# Go to data.scrc.uk, click on Links, then Generate API Token, and save your
# token in your working directory as token.txt. If the following returns an
# error, then save a carriage return after the token.
key <- readLines("token.txt")
namespace <- "SCRC"
# The product_name is used to identify the data product and will be used to
# generate the file location in the ScottishCovidResponse/DataRepository
# GitHub repository. In addition to this, when you create your toml file
# below, it will be saved to data-raw/[product_name].
product_name <- "human/infection/SARS-CoV-2/parameter-name"
# Remember to push the toml file to
# ScottishCovidResponse/DataRepository/[namespace]/[product_name]
# (e.g. ScottishCovidResponse/DataRepository/SCRC/human/infection/SARS-CoV-2)
# after completing this process
# The component_name is taken as the last part of the product_name
component_name <- gsub("^.*/([^/]*)$", "\\1", product_name)
# The value of the point-estimate
component_value <- 999.99
# The version number of the data product
productVersion <- "0.1.0"
# *******************************************************************
# Now run the code below (you probably don't need to change anything)
# *******************************************************************
# default data that should be in database ---------------------------------
# Assuming the toml will be stored in the ScottishCovidResponse/DataRepository
# GitHub repository
productStorageRoot <- "DataRepository"
storage_rootId <- new_storage_root(
name = productStorageRoot,
root = "https://raw.githubusercontent.com/ScottishCovidResponse/DataRepository/",
key = key)
namespaceId <- new_namespace(name = namespace,
key = key)
# generate toml -----------------------------------------------------------
path <- paste("master", namespace, product_name, sep = "/")
filename <- paste0(productVersion, ".toml")
create_estimate(filename = filename,
path = file.path("data-raw", path),
parameters = as.list(setNames(component_value, component_name)))
# upload data product metadata to database --------------------------------
upload_data_product(storage_root_id = storage_rootId,
name = product_name,
component_name = component_name,
processed_path = file.path("data-raw", path, filename),
product_path = file.path(path, filename),
version = productVersion,
namespace_id = namespaceId,
key = key)
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