A Blink camera Python library running on Python 3.
pip3 install blinkpy
Installing Development Version
To install the current development version, perform the following steps. Note that the following will create a blinkpy directory in your home area:
$ cd ~ $ git clone https://github.com/fronzbot/blinkpy.git $ cd blinkpy $ rm -rf build dist $ python3 setup.py bdist_wheel $ pip3 install --upgrade dist/*.whl
If you’d like to contribute to this library, please read the contributing instructions.
For more information on how to use this library, please read the docs.
The simplest way to use this package from a terminal is to call Blink.start() which will prompt for your Blink username and password and then log you in. Alternatively, you can instantiate the Blink class with a username and password, and call Blink.start() to login and setup without prompt, as shown below. In addition, http requests are throttled internally via use of the Blink.refresh_rate variable, which can be set at initialization and defaults to 30 seconds.
from blinkpy import blinkpy blink = blinkpy.Blink(username='YOUR USER NAME', password='YOUR PASSWORD', refresh_rate=30) blink.start()
If you would like to log in without setting up the cameras or system, you can simply call the Blink.login() function which will prompt for a username and password and then authenticate with the server. This is useful if you want to avoid use of the start() function which simply acts as a wrapper for more targeted API methods.
Cameras are instantiated as individual BlinkCamera classes within a BlinkSyncModule instance. All of your sync modules are stored within the Blink.sync dictionary and can be accessed using the name of the sync module as the key (this is the name of your sync module in the Blink App).
The below code will display cameras and their available attributes:
from blinkpy import blinkpy blink = blinkpy.Blink(username='YOUR USER NAME', password='YOUR PASSWORD') blink.start() for name, camera in blink.cameras.items(): print(name) # Name of the camera print(camera.attributes) # Print available attributes of camera
The most recent images and videos can be accessed as a bytes-object via internal variables. These can be updated with calls to Blink.refresh() but will only make a request if motion has been detected or other changes have been found. This can be overridden with the force_cache flag, but this should be used for debugging only since it overrides the internal request throttling.
camera = blink.cameras['SOME CAMERA NAME'] blink.refresh(force_cache=True) # force a cache update USE WITH CAUTION camera.image_from_cache.raw # bytes-like image object (jpg) camera.video_from_cache.raw # bytes-like video object (mp4)
The blinkpy api also allows for saving images and videos to a file and snapping a new picture from the camera remotely:
camera = blink.cameras['SOME CAMERA NAME'] camera.snap_picture() # Take a new picture with the camera blink.refresh() # Get new information from server camera.image_to_file('/local/path/for/image.jpg') camera.video_to_file('/local/path/for/video.mp4')
You can also use this library to download all videos from the server. In order to do this, you must specify a path. You may also specifiy a how far back in time to go to retrieve videos via the since= variable (a simple string such as "2017/09/21" is sufficient), as well as how many pages to traverse via the page= variable. Note that by default, the library will search the first ten pages which is sufficient in most use cases. Additionally, you can specidy one or more cameras via the camera= property. This can be a single string indicating the name of the camera, or a list of camera names. By default, it is set to the string 'all' to grab videos from all cameras.
Example usage, which downloads all videos recorded since July 4th, 2018 at 9:34am to the /home/blink directory:
blink = blinkpy.Blink(username="YOUR USER NAME", password="YOUR PASSWORD") blink.start() blink.download_videos('/home/blink', since='2018/07/04 09:34')
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