m-teng/k-teng/keithley/keithley.py
2023-04-13 11:09:40 +02:00

78 lines
2.5 KiB
Python

import pyvisa
import numpy as np
"""
Utility
"""
script_dir = "scripts/"
scripts = {
"buffer_reset": "buffer_reset.lua",
"smua_reset": "smua_reset.lua",
}
for key,val in scripts.items():
scripts[key] = script_dir + scripts[key]
def init_keithley(beep_success=True):
rm = pyvisa.ResourceManager('@py')
resources = rm.list_resources()
if len(resources) < 1:
raise Exception("No resources found.")
elif len(resources) == 1:
print(f"Opening Resource {resources[0]}")
keithley = rm.open_resource(resources[0])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
elif len(resources) > 1:
print(f"Resources: {resources}")
instr = int(input("Select an instrument (0-based index)"))
keithley = rm.open_resource(resources[instr])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
def run_lua(instr, script_path, verbose=False):
"""
Run a lua script from the host on the instrument
@param instr : pyvisa instrument
@param script_path : full path to the script
"""
with open(script_path, "r") as file:
script = file.read()
if verbose: print(f"Running script: {script_path}")
instr.write(script)
def reset(instr, verbose=False):
"""
Reset smua and its buffers
@param instr : pyvisa instrument
"""
run_lua(instr, scripts["smua_reset"], verbose=verbose)
run_lua(instr, scripts["buffer_reset"], verbose=verbose)
def collect_buffer(instr, buffer_nr=1):
"""
Get the buffer as 2D - np.array
@param instr : pyvisa instrument
@param buffer_nr : 1 or 2, for smua.nvbuffer1 or 2
@returns 2D numpy array:
i - ith reading:
0: timestamps
1: readings
"""
if buffer_nr == 2: buffername = "smua.nvbuffer2"
else: buffername = "smua.nvbuffer1"
# instr.write("format.data = format.DREAL\nformat.byteorder = format.LITTLEENDIAN")
# buffer = instr.query_binary_values(f"printbuffer(1, {buffername}.n, {buffername})", datatype='d', container=np.array)
instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array)
readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array)
print(f"readings: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer