vaddiocameras

Connect to Vaddio cameras over Telnet and retreive information. Telnet must be enabled in the camera's web GUI -> Security.

CameraConnect():

init with no parameters

set_cameras(cameras):

List of dicts, with each dict being a separate camera. Requires 'ip_address':'nnn.nnn.nnn.nnn; in the dict. Any additional keys will be accepted but are not required. Including 'room':'room_name' is recommended. ['room'] will also be parsed from the camera's hostname if the naming convention is room-whatever, eg. ABC123-VADDIO

config(user_name, password, write_results, output_path):

user_name: name used when vaddio security was initially setup

password: password to use with user_name

timeout: default 10. telnet timeout in seconds.

output_path: dir to store telnet data is write_results is True.

write_results: default True. Write telnet data to 'output_path/Vaddio room telnet.txt'.

If you're going to be using ParseCameraResponse(), you must set write_results to True.

set_requests(requests):

Accepts a list of ASCII requests to send via telnet. Requests that are already going to be sent: 'network settings get', 'streaming settings get', 'version', 'camera tilt get', Any requests you provide will be appended to this list. Tilt is polled because a reply of '0' probably means the camera has rebooted at some point and is now sitting in the factory Home position.

run():

Called by gathering run() to an asyncio queue, or by using asyncio.run(instance_name.run()) Begins Telnetting into the cameras provided, sending requests, and writing the results to file if desired. If you're going to be using ParseCameraResponse(), you must set write_results to True.

ParseCameraResponse()

input_path: dir containing the 'Vaddio room telnet.txt' files created by CameraConnect(). Try using input_path=camera_connect_instance.output_path if you're Telnetting and parsing in the same program.

excel_path: default 'camera_rooms.xlsx'. Filename used when exporting camera information.

run():

Called by gathering run() to an asyncio queue, or by using asyncio.run(instance_name.run()) Begins parsing information from the files located in input_path, then creates an Excel table with all of the camera data. Also returns the camera data as a list of dicts.