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@@ -4,8 +4,8 @@ Title: Interface with Azure Machine Learning datasets and web services | |
| Description: Functions and datasets to support Azure Machine Learning. This | ||
| allows you to interact with datasets, as well as publish and consume R functions | ||
| as API services. | ||
| Version: 0.2.6 | ||
| Date: 2015-12-18 | ||
| Version: 0.2.7 | ||
| Date: 2015-12-19 | ||
| Authors@R: c( | ||
| person("Raymond", "Laghaeian", role=c("aut", "cre"), email="[email protected]"), | ||
| person(family="Microsoft Corporation", role="cph"), | ||
|
|
||
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| @@ -0,0 +1,79 @@ | ||
| validate.AzureML.config <- function(config = getOption("AzureML.config"), stopOnError = FALSE){ | ||
| # Stop if the config file is missing | ||
| if(!file.exists(config)) { | ||
| msg <- sprintf("config file is missing: '%s'", config) | ||
| if(stopOnError) | ||
| stop(msg, call. = FALSE) | ||
| else | ||
| return(simpleError(msg)) | ||
| } | ||
|
|
||
| # Stop if the config is a directory, not a file | ||
| if(file.info(config)$isdir){ | ||
| msg <- paste( | ||
| "The config argument should point to a file.", | ||
| sprintf(" You provided a directory (%s)", | ||
| normalizePath(config, winslash = "/", mustWork = FALSE) | ||
| ), sep = "\n" | ||
| ) | ||
| if(stopOnError) | ||
| stop(msg, call. = FALSE) | ||
| else | ||
| return(simpleError(msg)) | ||
| } | ||
| TRUE | ||
| } | ||
|
|
||
| #' Reads settings from configuration file in JSON format. | ||
| #' | ||
| #' @inheritParams workspace | ||
| #' | ||
| #' @export | ||
| #' @seealso write.AzureML.config | ||
| #' @seealso workspace | ||
| read.AzureML.config <- function(config = getOption("AzureML.config")){ | ||
| z <- tryCatch(fromJSON(file(config)), | ||
| error = function(e)e | ||
| ) | ||
| # Error check the settings file for invalid JSON | ||
| if(inherits(z, "error")) { | ||
| msg <- sprintf("Your config file contains invalid json", config) | ||
| msg <- paste(msg, z$message, sep = "\n\n") | ||
| stop(msg, call. = FALSE) | ||
| } | ||
| z | ||
| } | ||
|
|
||
| #' Writes settings to configuration file. | ||
| #' | ||
| #' @inheritParams workspace | ||
| #' @param file either a character string naming a file or a connection open for writing. "" indicates output to the console. | ||
| #' | ||
| #' @rdname read.AzureML.config | ||
| #' | ||
| #' @export | ||
| #' @seealso write.AzureML.config | ||
| #' @seealso workspace | ||
| write.AzureML.config <- function(id = NULL, auth = NULL, | ||
| api_endpoint = NULL, | ||
| management_endpoint = NULL, | ||
| file = ""){ | ||
| # Construct list | ||
| x <- list( | ||
| id = id, | ||
| authorization_token = auth, | ||
| api_endpoint = api_endpoint, | ||
| management_endpoint = management_endpoint | ||
| ) | ||
| # Remove null values | ||
| conf <- list( | ||
| workspace = x[!sapply(x, is.null)] | ||
| ) | ||
| # Convert to JSON | ||
| js <- jsonlite::toJSON(conf, pretty = TRUE) | ||
| if(!missing(file) && !is.null(file)) { | ||
| writeLines(js, con = file) | ||
| } else { | ||
| js | ||
| } | ||
| } |
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| @@ -0,0 +1,2 @@ | ||
| AzureML.config.default <- "~/.azureml/settings.json" | ||
| options(AzureML.config = AzureML.config.default) |
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| @@ -0,0 +1,11 @@ | ||
| # This function is used in unit testing to skip tests if the config file is missing | ||
| # | ||
| skip_if_missing_config <- function(f){ | ||
| if(!file.exists(f)) { | ||
| msg <- paste("To run tests, add a file ~/.azureml/settings.json containing AzureML keys.", | ||
| "See ?workspace for help", | ||
| sep = "\n") | ||
| message(msg) | ||
| skip("settings.json file is missing") | ||
| } | ||
| } |
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