Fast Fourier Transform

Name	Fast Fourier Transform
Version	v1.0.1
DockerHub	weevenetwork/fast-fourier-transform
Authors	Jakub Grzelak

• Fast Fourier Transform
  • Description
  • Environment Variables
    • Module Specific
    • Set by the weeve Agent on the edge-node
  • Dependencies
  • Input
  • Output

Description

Extract elementary frequencies and magnitudes from your data.

Environment Variables

Module Specific

The following module configurations can be provided in a data service designer section on weeve platform:

Name	Environment Variables	type	Description
Input Label	INPUT_LABEL	string	Label of data to apply FFT to.
Sample Data	SAMPLE_SIZE	string	Number of samples taken per second, sample rate of 1024 means that 1024 values of the signal are recorded in one second.

Set by the weeve Agent on the edge-node

Other features required for establishing the inter-container communication between modules in a data service are set by weeve agent.

Environment Variables	type	Description
MODULE_NAME	string	Name of the module
MODULE_TYPE	string	Type of the module (Input, Processing, Output)
EGRESS_URLS	string	HTTP ReST endpoints for the next module
INGRESS_HOST	string	Host to which data will be received
INGRESS_PORT	string	Port to which data will be received

Dependencies

bottle
requests
scipy
numpy

Input

Input to this module is a single JSON object with is bytes object containing compressed (LZMA compression) array of data points of a simulated waveform.:

Output

Output of this module is list of the detected frequencies and magitudes, formatted as a list of objects;

[
    {
        "frequency": 270,
        "magnitude": 2
    },
    {
        "frequency": 60,
        "magnitude": 25
    }
]