# example python script for capturing an image from CMV50K EVK
# you must have c:\Program Files\Critical Link LLC\GenTL Viewer\bin
# in your path prior to running this script.
from harvesters.core import Harvester
import logging
import matplotlib.pyplot as plt

import os

os.environ['PATH'] = 'c:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin'

# os.environ['SIMCAM_XML_FILE'] = 'C:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin\\sim_camera.xml'
os.environ['HARVESTERS_XML_FILE_DIR'] = 'C:\\Users\\salhadda\\Documents\\XMLFOLDER\\'
print(os.getenv('HARVESTERS_XML_FILE_DIR'))

# set up a logger for the harvester library.
# this is not needed but can be useful for debugging your script
logger = logging.getLogger('harvesters');
ch = logging.StreamHandler()
logger.setLevel(logging.DEBUG)
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
logger.addHandler(ch)

# Create the harvester
h = Harvester(logger=logger)
# the harvester can load dlls as well as cti files.
if "add_file" in dir(h): # Use updated harvesters api if exists
	h.add_file('c:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin\\GenTL.dll')
else:
	h.add_cti_file('c:\\Program Files\\Critical Link LLC\\GenTL Viewer\\bin\\GenTL.dll')
if "update" in dir(h): # Use updated harvesters api if exists
	h.update()
else:
	h.update_device_info_list()

print("Found {} devices".format(len(h.device_info_list)))
print(h.device_info_list)

if len(h.device_info_list) == 0:
	print("No devices found")
	

# create an image acquirer
ia = h.create_image_acquirer(list_index=1)
# this is required for larger images (> 16 MiB) with Critical Link's producer.
ia.num_buffers = 4
ia.remote_device.node_map.PixelFormat.value = 'Mono8'
# Uncomment to set the image ROI width, height. Otherwise will get full frame
#ia.remote_device.node_map.Width.value, ia.remote_device.node_map.Height.value = 800, 600

print("Starting Acquistion")

ia.start_image_acquisition()

# just capture 1 frame
for i in range(1):
	with ia.fetch_buffer(timeout=4) as buffer:
		payload = buffer.payload
		component = payload.components[0]
		width = component.width
		height = component.height
		data_format = component.data_format
		print("Image details: {}w {}h {}".format(width, height, data_format))
		# for monochrome 8 bit images
		if int(component.num_components_per_pixel) == 1:
			content = component.data.reshape(height, width)
		else:
			content = component.data.reshape(height, width, int(component.num_components_per_pixel))
		if int(component.num_components_per_pixel) == 1:
			plt.imshow(content, cmap='gray')
		else:
			plt.imshow(content)
		plt.show()

#
ia.stop_image_acquisition()
ia.destroy()