R mamba env agent - gws_core

Typing name : TASK.gws_core.RMambaAgent

Brick : gws_core

Agent to run R snippets in mamba a shell environment.

Mamba-based R agents allow to execute R snippets on the fly in isolated mamba environments.

Agents are fast and efficient tools to develop, test, use and share code snippets.

Warning: It is recommended to use code snippets comming from trusted sources.

Here is the general documentation for agent: https://constellab.community/bricks/gws_core/latest/doc/developer-guide/agent/getting-started/69820653-52e0-41ba-a5f3-4d9d54561779

Here is the documentation of the agent: https://constellab.community/bricks/gws_core/latest/doc/developer-guide/agent/env-agent/c6acb3c3-2a7c-44cd-8fb2-ea1beccdbdcc

Input

File or folder

Optional

Fs node

Output

File or folder

Fs node

Configuration

params

Optional

Type : dynamic

Default value : [object Object]

env

Optional

YAML configuration of the R conda environment

Type : yaml_code_param

Default value :

name: .venv
channels:
  - conda-forge
dependencies:
  - r-base

code

Optional

The R code snippet to execute using shell command

Type : r_code_param

Default value :

# This is a snippet template for a R agent.

# Read the source csv file with header, row names and comma separator
csv <- read.csv(source_paths[1], header = TRUE, sep = ",", row.names = 1)

# Transpose the table, keep the header
csv_result <- t(csv)

# Write the csv file into the result folder
result_path <- "result.csv"
write.csv(csv_result, file = result_path, row.names = TRUE, col.names = TRUE)
target_paths <- c(result_path)