Install the package

Carson Living Python requires Python 3.11 or newer.

pip install carson-living-electric-boogaloo

Log in and inspect the account

from carson_living import Carson

carson = Carson("account@email.com", "your password")
print(carson.user)
# >> Martin
print(carson.token)
# >> ey...

Carson Living issues long-lived JWT tokens. Copy the printed carson.token value now; Reuse a saved token below covers skipping the login request on future runs.

Open a unit door

for door in carson.first_building.doors:
    if door.is_unit_door:
        print("Opening Unit Door {}".format(door.name))
        door.open()

Reuse a saved token

Pass a saved JWT token during initialization to skip the login request:

carson = Carson("account@email.com", "your password", "ey....")
print(carson.token)
# >> ey...

Save a live camera image

for camera in building.cameras:
    with open("image_{}.jpeg".format(camera.entity_id), "wb") as file:
        camera.get_image(file)

Save a live camera video

for camera in building.cameras:
    with open("video_{}.flv".format(camera.entity_id), "wb") as file:
        camera.get_video(file, timedelta(seconds=10))

Download a recorded image from a timestamp

three_hours_ago = datetime.utcnow() - timedelta(hours=3)
for camera in building.cameras:
    with open("image_{}.jpeg".format(camera.entity_id), "wb") as file:
        camera.get_image(file, three_hours_ago)

Download a recorded video from a timestamp

three_days_ago = datetime.utcnow() - timedelta(days=3)
for cam in building.cameras:
    with open("video_{}.flv".format(cam.entity_id), "wb") as file:
        cam.get_video(file, timedelta(seconds=5), three_days_ago)

Generate an authenticated camera URL

camera.get_image_url() and camera.get_video_url() build a URL with an embedded auth_key (A=c000....) that something outside this library can fetch directly. Call building.eagleeye_api.update_session_auth_key() first if the building’s key may be stale; get_image() and get_video() don’t need this since they refresh internally.

building.eagleeye_api.update_session_auth_key()
for cam in building.cameras:
    img_url = cam.get_image_url(three_days_ago)
    print(img_url)
    # >> https://cXXX.eagleeyenetworks.com/asset/prev/image.jpeg?id=c0&timestamp=20200122211442.575&asset_class=pre&A=c000~...
    response = requests.get(img_url)
    with open("image_{}_with_url.jpeg".format(cam.entity_id), "wb") as file:
        file.write(response.content)
    break  # only fetch one camera in this example

Use cam.get_video_url() the same way.

Use the CLI tool

./scripts/carsoncli.py has further API usage examples.

Supported entities

• User (carson.user): read

• Building (carson.buildings): read

• Doors (building.doors): read, open

• Cameras (building.cameras): read, images, video

Not yet supported

• Visitor functionality (/visitors)

• Thread / messaging functionality (/threads)

• Delivery functionality (/deliveries)

• Dashboard functionality (/dashboard)

• Service functionality (/service)

• Twilio integration (twilio/access-token/)

• A separate EagleEye API package

Install the development version

pip install git+https://github.com/lowlydba/python-carson-living@main

Why tokens are long-lived

Carson Living issues JWT tokens with a long validity window, so this library treats carson.token as reusable across process restarts rather than something to re-fetch on every run. It also handles expired tokens and the resulting 401 responses internally, so a caller doesn’t need to check token validity before making a request.

Why Eagle Eye auth keys need refreshing

get_image() and get_video() refresh the Eagle Eye auth_key on demand, but a pre-generated URL from get_image_url()/get_video_url() embeds whatever key was current at call time and stops working once that key expires. The key is scoped to a building rather than a single camera, so one update_session_auth_key() call covers every camera in that building.

Code documentation style

Docstrings follow the Google Python Style Guide.

Git branching strategy

This project uses gitflow as its branching model.

Credits

This project is a fork of pbrink231/python-carson-living, itself forked from Martin Riedel’s original rado0x54/python-carson-living.

Project setup and the API object design were inspired by, and partly launched off, python-ring-doorbell, which saved a lot of headaches with tox, setuptools, and Travis.