pysapscript 3.0.0

Automate SAP with python!

Github - https://github.com/kamildemocko/PySapScript

SAP scripting for use in Python.
Can perform different actions in SAP GUI client on Windows.

Documentation

https://kamildemocko.github.io/PySapScript/pysapscript.html

Installation

pip install pysapscript

Usage

Create pysapscript object

import pysapscript

sapscript = pysapscript.Sapscript()

parameter default_window_title: = "SAP Easy Access"

Launch Sap

sapscript.launch_sap(
    sid="SQ4",
    client="012",
    user="robot_t",
    password=os.getenv("secret_password")
)

additional parameters:

root_sap_dir = Path(r"C:\Program Files (x86)\SAP\FrontEnd\SAPgui")
maximise = True
quit_auto = True

Attach to an already opened window:

from pysapscript.window import Window

window: Window = sapscript.attach_window(0, 0)

positional parameters (0, 0) -> (connection, session)

Quitting SAP:

• pysapscript will automatically quit if not manually specified in launch_sap parameter
• manual quitting method: sapscript.quit()

Performing action:

element: use SAP path starting with wnd[0] for element arguments, for example wnd[0]/usr/txtMAX_SEL

• element paths can be found by recording a sapscript with SAP GUI or by applications like SAP Script Tracker

window = sapscript.attach.window(0, 0)

window.maximize()
window.restore()
window.close()

window.start_transaction(value)
window.navigate(NavigateAction.enter)
window.navigate(NavigateAction.back)

window.write(element, value)
window.press(element)
window.send_v_key(value[, focus_element=True, value=0])
window.select(element)
window.read(element)
window.set_checkbox(value)
window.visualize(element[, seconds=1])

table: ShellTable = window.read_shell_table(element)
html_content = window.read_html_viewer(element)

Table actions

ShellTable uses polars, but can also be return pandas or dictionary

from pysapscript.shell_table import ShellTable

table: ShellTable = window.read_shell_table()

table.rows
table.columns

table.to_dict()
table.to_dicts()
table.to_polars_dataframe()
table.to_pandas_dataframe()

table.cell(row_value, col_value_or_name)
table.get_column_names()

table.load()
table.press_button(value)
table.select_rows([0, 1, 2])
table.change_checkbox(element, value)