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Description:

consibiocloudclient 1.0.0

consibio-cloud-client
Data Client for Consibio Cloud
Installation
To install the package, run the following command:
pip install consibio-cloud-client

Usage
See the examples folder for examples on how to use the client.
You'll need a Consibio Cloud account, to use the client.
The client can be imported with: from consibio_cloud_client import Client, Project
Initialize the client with client = Client(), login and initialize the Project with project = Project(client), and get the datalog in DataFrame with df = project.get_datalog().
Client
The Client exposes the following methods:

auth_valid: to check if the authentication is valid
auth_login: to login with the credentials
auto_output: to get the output of the last command

The Client stores the session token in a secrets.json file.
Project
The Project exposes the following methods:

get_devices: to get the devices, will return object with the devices
get_elements: to get the elements, will return object with the elements
get_datalog: to get the datalog, will return a Datalog object

The Project will use the Client to get the data, to remember to initialize the Client before initializing the Project, and login with the auth_login method, too.
DataFrame
The get_datalog method on the Project returns a DataFrame object, where you can use:

plot: to plot the data, by providing project=project, it will render the element title and color the line, too.
get_data: to get the data, each value in a SingleValue object
get_raw: to get the raw data
get_pandas_df: to get the Pandas DataFrame
add_many: to add multiple elements to the datalog
add: to add a single element to the datalog
remove_element: to remove an element from the datalog
remove_specific: to remove a specific element from the datalog, with a specific timestamp

SingleValue
The SingleValue object has the following methods:

get_element_id: to get the element id
get_value: to get the value
get_timestamp: to get the timestamp

Development
Nox
Nox is a Python automation tool that automates testing in multiple Python environments, packaging, and more.
To install nox, run the following command:
pip install nox

To run the tests session, run the following command:
python3 -m nox -s tests

To run the lint session, run the following command:
python3 -m nox -s lint

It's recommended to use autopep8 to format the code. Install the extension in VS Code, and use the Workspace settings, which can be found in the .vscode folder.