pip install -r requirements.txt

python welch_beam_pdkit.py

It takes as input acceleration data with the id at each line:

timestamp,x,y,z,user_id

As an example take the file: tremor_data_with_user.csv

In this example the method used from pdkit is welch but any method will work as it is now.

The results are stored in file. Just pass --output="filename.csv to define the file name. By default now is output.csv

2678,10.540682,02:23:00,02:23:30
2678,10.656897,02:22:40,02:23:10
2678,11.103284,02:22:50,02:23:20
2678,9.163072,02:23:10,02:23:40
2678,3.228065,02:23:20,02:23:50
2678,4.506551,02:22:30,02:23:00
2458,62.922552,12:21:40,12:22:10
2458,67.516632,12:21:20,12:21:50
2458,25.660236,12:22:00,12:22:30
2458,4.092081,12:22:10,12:22:40
2458,51.772989,12:21:50,12:22:20
2458,81.424755,12:21:30,12:22:00
3037,24.125740,00:39:30,00:40:00
3037,27.619027,00:39:20,00:39:50
3037,107.838542,00:39:50,00:40:20
3037,165.204399,00:40:00,00:40:30
3037,55.552502,00:39:40,00:40:10
3037,397.174782,00:40:10,00:40:40

where id, welch_value, start, end

This example shows how to use the google cloud streaming.

python welch_beam_pdkit.py --input_topic "projects/<PROJECT>/topics/<TOPIC>" --output_topic
"projects/<PROJECT>/topics/<TOPIC>"

where the parameters are the following:

--input_topic is the Input PubSub topic of the form "projects/<PROJECT>/topics/<TOPIC>" --output_topic is the Output PubSub topic of the form "projects/<PROJECT>/topics/<TOPIC>"

You'll need to register to google cloud services. Install instructions for google cloud. Don't forget to create a project and a topic using for example the command line or using the web interface

There is a supporting file that subscribes to a topic and prints out the messages that come in.

python subscribeToGcloud.py --input_topic "projects/<PROJECT>/topics/<TOPIC>"

Tip: To test the Pub/Sub it's recommended to publish a message with the contents of the file using the google cloud platform interface. It's possible to publish a message just pasting the contents of the file data.