ninadicara

graph TD
    subgraph 1. Starting EMA Session
    A[Initiate EMA session from scheduler] -->B(Send hello message and first question to all participants via API)
    B -->|Error recieved| D1[Log Error]
    B -->|Sent successfully| D2[Increment question counter for each participant]
    end
    subgraph 2. Fielding Incoming Messages
    D2 --> D3[Incoming message received. Log number, message body, datetime.]
    D3 --> D4{{Load contains Twilio signature?}}
    D4 -->|No| D5[Return 403]

ninadicara

EMA Scheduler

The ema_schedule module defines a class that produces a schedule for EMA 'beeps' (survey time points). This version does not contain 'sense-checking' for the arguments inputs.

It expects start_time and end_time as floats that represent 24 hour time (i.e. 4.30pm would be entered as 16.5)

Algorithm Attribution

The algorithm implemented here was based on pseudo-code from George MacKerron's PhD thesis [page 89], originally used as part of the 'Mappiness' project.

ninadicara

# Taken and modified from 'jof' on https://stackoverflow.com/questions/24736316/see-when-packages-were-installed-updated-using-pip
# Modification is to use pkg_resources.working_set instead of pip.get_installed_distributions()

from __future__ import print_function
from datetime import datetime
import os
import pkg_resources


if __name__ == "__main__":

ninadicara

install.packages(c("purrr", "dplyr"))
library(purrr)
library(dplyr)

#Import and label your files
A <- #import A, B, C and D as dataframes
B <- 
C <-
D <-