Python Execution Node

Executes a python script via system python or reticulate.

Value

An `AgentPythonNode` object.

Super class

HydraR::AgentNode -> AgentPythonNode

Public fields

script

Character string or Function. The python script to execute.

engine

Character. Execution engine ("system2" or "reticulate").

Methods

Public methods

• AgentPythonNode$new()

• AgentPythonNode$run()

• AgentPythonNode$clone()

---

Method new()

Usage

AgentPythonNode$new(
  id,
  label = NULL,
  script,
  engine = "system2",
  params = list()
)

Arguments

id

Node ID

label

Node Label

script

String or Function(state) returning a string.

engine

"system2" (isolated process) or "reticulate" (inline bindings).

params

List of standard Node parameters Run Python Execution

---

Method run()

Usage

AgentPythonNode$run(state, working_dir = NULL)

Arguments

state

AgentState object.

working_dir

Directory context for execution.

Returns

List with output, success flag, and optionally result variables.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

AgentPythonNode$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # \dontrun{
# 1. Pure system-level Python execution (isolated process)
node_sys <- AgentPythonNode$new(
  id = "py_cleaner",
  script = "print('Cleaning data...'); result = 10",
  engine = "system2"
)

# 2. Reticulate-based execution with shared memory
# This allows the 'result' variable in Python to be returned as an R object.
node_retic <- AgentPythonNode$new(
  id = "py_stats",
  script = "
import numpy as np
data = np.array([1, 2, 3, 4, 5])
result = data.mean()
  ",
  engine = "reticulate"
)

# Execute and retrieve the 'result' object
res <- node_retic$run(state = AgentState$new())
message("Mean calculated in Python: ", res$result)
} # }