Package 'AnVILAz'

Title: R / Bioconductor Support for the AnVIL Azure Platform
Description: The AnVIL is a cloud computing resource developed in part by the National Human Genome Research Institute. The AnVILAz package supports end-users and developers using the AnVIL platform in the Azure cloud. The package provides a programmatic interface to AnVIL resources, including workspaces, notebooks, tables, and workflows. The package also provides utilities for managing resources, including copying files to and from Azure Blob Storage, and creating shared access signatures (SAS) for secure access to Azure resources.
Authors: Martin Morgan [aut, ctb] , Marcel Ramos [aut, cre]
Maintainer: Marcel Ramos <[email protected]>
License: Artistic-2.0
Version: 0.99.19
Built: 2024-08-28 03:20:44 UTC
Source: https://github.com/bioc/AnVILAz

Help Index

Azure Notebook Management

Description

avnotebooks() lists the notebooks in the current workspace.

Usage

## S4 method for signature 'azure'
avnotebooks(local = FALSE, ..., platform = cloud_platform())

## S4 method for signature 'azure'
avnotebooks_localize(
  destination = "./analyses",
  dry = TRUE,
  ...,
  platform = cloud_platform()
)

## S4 method for signature 'azure'
avnotebooks_delocalize(
  source = "./",
  dry = TRUE,
  ...,
  platform = cloud_platform()
)

Arguments

local

logical(1) notebooks located on the workspace (local = FALSE, default) or runtime / local instance (local = TRUE). When local = TRUE, the notebook path is ⁠<workspace_data_service_url()>/analyses⁠.
...

Additional arguments passed to lower level functions (not used)
platform

azure() The cloud platform class to dispatch on as given by AnVILBase::cloud_platform. Typically not set manually as cloud_platform() returns the "azure" class for Azure workspaces on AnVIL.
destination

character(1) or missing file path to the local file system directory for synchronization. The default location is ⁠~/<workspace_data_service_url()>/analyses⁠. Out-of-date local files are replaced with the workspace version.
dry

logical(1) Whether to perform a dry run i.e., add the --dry-run flag to the command.
source

character(1) or missing file path to the local file system directory for synchronization. The default location is the home folder. Out-of-date local files are replaced with the workspace version.

Value

avnotebooks() returns a character vector of files located in the workspace 'analyses/' folder path, or on the local file system.

Functions

  • avnotebooks(azure): List the notebooks in the current workspace

  • avnotebooks_localize(azure): Sync notebooks between the Azure Blob Storage Container and the local runtime

  • avnotebooks_delocalize(azure): Sync notebooks between the local runtime and the Azure Blob Storage Container

Examples

library(AnVILBase)
if (
    az_exists() && identical(avplatform_namespace(), "AnVILAz") &&
    nzchar(avworkspace_name())
)
    avnotebooks()

AnVIL Azure table ("type") methods

Description

Methods for working with AnVIL Azure tables. These are referred to as "types" in the AnVIL Workspace Data Service (WDS) API.

Usage

## S4 method for signature 'azure'
avtable(table, ..., platform = cloud_platform())

## S4 method for signature 'azure'
avtables(..., platform = cloud_platform())

## S4 method for signature 'azure'
avtable_import(
  .data,
  table,
  entity = names(.data)[[1L]],
  ...,
  platform = cloud_platform()
)

## S4 method for signature 'azure'
avtable_import_set(
  .data,
  origin,
  set = names(.data)[[1]],
  member = names(.data)[[2]],
  ...,
  platform = cloud_platform()
)

## S4 method for signature 'azure'
avtable_delete(table, ..., platform = cloud_platform())

## S4 method for signature 'azure'
avtable_delete_values(table, values, ..., platform = cloud_platform())

Arguments

table

character(1) The name of the table / type
...

Additional arguments passed to lower level functions (not used)
platform

azure() The cloud platform class to dispatch on as given by AnVILBase::cloud_platform. Typically not set manually as cloud_platform() returns the "azure" class for Azure workspaces on AnVIL.
.data

tibble() The dataset chiefly from the avtable() operation
entity

The entity name, i.e., the name of the column in the table that provides the keys for the data (a.k.a. primaryKey). By default, the first column in the table. The keys cannot contain special characters or spaces.
origin

character(1) name of the type (entity table) used to create the set e.g "sample", "participant", etc.
set

character(1) column name of .data identifying the set(s) to be created, i.e., the grouping variable.
member

character(1) column name of .data identifying the member(s) of the set(s) or groups. The values in this column may repeat if an ID is in more than one set.
values

character() vector of primaryKey values corresponding to rows to be deleted

Details

avtable_import_set() creates new rows in a table ⁠<origin>_set⁠. One row will be created for each distinct value in the column identified by set. Each row entry has a corresponding column ⁠<origin>⁠ linking to one or more rows in the ⁠<origin>⁠ table, as given in the member column. The operation is somewhat like split(member, set).

Value

avtable: a tibble() corresponding to the data with the name as given by table

avtables: a tibble() with columns table, count, and colnames corresponding to the tables / types available in the current workspace

avtable_import(): called for the side effect of uploading the data to the DATA tab

avtable_import_set(): a character(1) name of the imported tibble.

avtable_delete: a logical(1) indicating success or failure

avtable_delete_values(): a logical(1) vector indicating success or failure for each value in values

Functions

  • avtable(azure): List the contents of a particular table / type

  • avtables(azure): List the available tables / types

  • avtable_import(azure): Upload a dataset to the DATA tab

  • avtable_import_set(azure): Create a grouping table from an origin dataset

  • avtable_delete(azure): Delete a table / type

  • avtable_delete_values(azure): Delete rows from a table / type

Examples

if (interactive()) {
  library(dplyr)
  mtcars_tbl <-
      mtcars |>
      as_tibble(rownames = "model_id") |>
      mutate(model_id = gsub(" ", "-", model_id))

  avtable_import(
    mtcars_tbl,
    table = "testData",
    entity = "model_id"
  )

  avtable("testData")

  avtable("testData") |>                  # new 'testData_set' table
        avtable_import_set("testData", "cyl", "model_id")

  avtable_delete("testData_set")

  avtable_delete_values("testData", "Mazda-RX4")
}

Azure Workflow methods

Description

avworkflow_jobs() reports the status of workflow executions in the current workspace.

Usage

## S4 method for signature 'azure'
avworkflow_jobs(..., platform = cloud_platform())

avworkflow_jobs_inputs()

Arguments

...

Additional arguments passed to lower level functions (not used)
platform

azure() The cloud platform class to dispatch on as given by AnVILBase::cloud_platform. Typically not set manually as cloud_platform() returns the "azure" class for Azure workspaces on AnVIL.

Details

The avworkflow_jobs_inputs() function returns the input parameters for the workflow jobs as a tibble.

Value

avworkflow_jobs() returns a tibble with the status of the jobs in the current workspace.

Functions

  • avworkflow_jobs(azure): List the status of workflow jobs

Examples

library(AnVILBase)
if (
    az_exists() && identical(avplatform_namespace(), "AnVILAz") &&
    nzchar(avworkspace_name())
)
    ## from within AnVIL
    avworkflow_jobs()

AnVIL Azure Workspace methods

Description

AnVIL Azure Workspace methods

Usage

## S4 method for signature 'azure'
avworkspaces(..., platform = cloud_platform())

## S4 method for signature 'azure'
avworkspace_namespace(..., platform = cloud_platform())

## S4 method for signature 'azure'
avworkspace_name(..., platform = cloud_platform())

## S4 method for signature 'azure'
avworkspace(..., platform = cloud_platform())

## S4 method for signature 'azure'
avworkspace_clone(
  namespace = avworkspace_namespace(),
  name = avworkspace_name(),
  to_namespace = namespace,
  to_name,
  bucket_location = "US",
  ...,
  platform = cloud_platform()
)

Arguments

...

Additional arguments passed to lower level functions (not used)
platform

azure() The cloud platform class to dispatch on as given by AnVILBase::cloud_platform. Typically not set manually as cloud_platform() returns the "azure" class for Azure workspaces on AnVIL.
namespace

character(1) AnVIL workspace namespace as returned by, e.g., avworkspace_namespace()
name

character(1) AnVIL workspace name as returned by, eg., avworkspace_name().
to_namespace

character(1) workspace (billing account) in which to make the clone.
to_name

character(1) name of the cloned workspace.
bucket_location

character(1) region in which bucket attached to the workspace should be created. The default is set to a single region ("US"); multi-region is available but more costly.

Value

avworkspaces(): a tibble table of available workspaces

avworkspace_namespace(): a character string of the workspace namespace

avworkspace_name(): a character string of the workspace name

avworkspace(): a character string of the workspace namespace and name combination

avworkspace_clone(): called for the side-effect of cloning a workspace to a new namespace and name.

Functions

  • avworkspaces(azure): List workspaces

  • avworkspace_namespace(azure): List the workspace namespace

  • avworkspace_name(azure): Obtain the workspace name

  • avworkspace(azure): Obtain the current workspace namespace and name combination

  • avworkspace_clone(azure): Clone a workspace

Obtain the Shared Access Signature (SAS) for the Azure Storage

Description

The function provides a user delegation SAS token for management of resources. Mainly used in other functions to move files to and from the Azure Storage Container

Usage

az_sas_token(sasExpirationDuration = 28800)

Arguments

sasExpirationDuration

numeric(1) The number of seconds until the SAS token expires (default: 28,800 seconds)

Value

A list of two elements named token and url

Examples

if (interactive()) {
  sas <- az_sas_token()
  sas[["token"]]
  sas[["url"]]
}

az health check helpers

Description

These functions provide checks for essential workspace tools and variables. az_exists checks for the presence of the az command line utility. az_healthcheck checks for the presence of the az command line as well as the essential environment variables.

Usage

az_exists()

az_health_check()

Value

az_exists returns a logical value indicating the presence of the az command line utility. az_healthcheck returns a logical value indicating the presence of the az command line utility and the essential environment variables.

Examples

if (interactive()) {
    az_exists()
    az_healthcheck()
}

Azure platform class

Description

This class represents the Azure platform.

Usage

azure()

Examples

az <- azure()
az
showClass(class(az))

A number of methods compatible with the Azure platform class.

Description

A number of methods compatible with the Azure platform class.

Usage

## S4 method for signature 'azure'
avcopy(source, destination, dry = TRUE, ..., platform = cloud_platform())

## S4 method for signature 'azure'
avlist(..., platform = cloud_platform())

## S4 method for signature 'azure'
avremove(source, recursive = FALSE, ..., platform = cloud_platform())

## S4 method for signature 'azure'
avbackup(
  source,
  destination,
  recursive = TRUE,
  ...,
  platform = cloud_platform()
)

## S4 method for signature 'azure'
avrestore(
  source,
  destination,
  recursive = TRUE,
  ...,
  platform = cloud_platform()
)

## S4 method for signature 'azure'
avstorage(..., platform = cloud_platform())

Arguments

source

character(1) A relative file path corresponding to either the remote (az_copy_from_storage) or local (az_copy_to_storage) file location. Remote locations should be relative to the base directory in the Azure Storage Container e.g., analyses/jupyter.log.
destination

character(1) A relative file path corresponding to either the remote (az_copy_to_storage) or local (az_copy_from_storage) file location. Remote locations should be relative to the base directory in the Azure Storage Container. When not specified, it will default to the base directory of the remote location. The to path can be a folder path but must end in a forward slash (/). If the to path points to a non-existent directory, it will be created.
dry

logical(1) Whether to perform a dry run i.e., add the --dry-run flag to the command.
...

Additional arguments passed to lower level functions (not used)
platform

azure() The cloud platform class to dispatch on as given by AnVILBase::cloud_platform. Typically not set manually as cloud_platform() returns the "azure" class for Azure workspaces on AnVIL.
recursive

logical(1) Whether to recursively move or remove files in a directory. Only applies to avremove, avbackup, and avrestore. Default is TRUE for backup and restore operations and FALSE for avremove.

Details

The recursive argument for avbackup and avrestore is set to TRUE by default and FALSE for avremove. Note that wildcards are not supported for local or remote paths.

Value

  • avlist - a tibble of files and metadata

  • avcopy - called for the side effect of copying a file to or from the Azure Storage Container depending on the source and destination inputs

  • avremove - called for the side effect of removing a file or folder

  • avbackup - called for the side effect of copying a directory to the Azure Storage Container

  • avrestore - called for the side effect of copying a directory from the Azure Storage Container

  • avstorage - a URL string of the Azure Storage Container location

  • avworkspaces - a tibble of workspaces on AnVIL

  • avtable_import - a response list indicating successful upload

  • avtable_delete_values - when successful, a NULL value

Functions

  • avcopy(azure): a generalized interface for either az_copy_from_storage or az_copy_to_storage; deduced from the source and destination inputs

  • avlist(azure): list all the files in the Azure Storage Container

  • avremove(azure): remove a file or directory from the Azure Storage

  • avbackup(azure): copy a directory from the workspace environment to the Azure Storage Container

  • avrestore(azure): copy a file or directory from the Azure Storage Container to the workspace environment

  • avstorage(azure): The base URI string used to move data to and from the Azure Storage Container

Examples

if (interactive()) {

  avlist()

  ## local -> remote
  ## using general interface avcopy
  avcopy("jupyter.log", "analyses/jupyter.log")

  ## upload a directory
  avbackup("./test/", "analyses/test/")

  ## using general interface az_copy
  avcopy("analyses/jupyter.log", "./jupyter.log")

  ## download a directory
  avrestore("analyses/test/", "./test/")

  avremove("analyses/jupyter.log")

}

Access Terra on Azure workspace session variables

Description

A group of functions that return environment variables in the Terra Azure workspace. The Workspace Data Service URL sends out an API GET request to obtain the data services URL for uploading data to the workspace "DATA" tab.

Usage

workspace_id()

workspace_storage_cont_id()

workspace_storage_cont_url()

wds_api_version()

workspace_data_service_url()

cbas_url()

Value

  • workspace_id - A UUID string referring to "workspaceId" or "workspaceid" in API calls

  • workspace_storage_cont_id - A UUID string identifiying the resource storage container owned by the user account, a.k.a. "resourceId"

  • workspace_storage_cont_url - The base URI string used to move data to and from the Azure Storage Container

  • wds_api_version - The version of the Workspace Data Service API, defaults to "v0.2"

  • workspace_data_service_url - The base URI string used to move data to to and from the workspace "DATA" tab

  • cbas_url - The base URI string used to query the workflow submission history

Examples

workspace_id()
workspace_storage_cont_id()
workspace_storage_cont_url()
if (interactive()) {
  workspace_data_service_url()
  cbas_url()
}