rapids/docs/workflow-examples/minimal.md

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Minimal Working Example
=======================
This is a quick guide for creating and running a simple pipeline to extract missing, outgoing, and incoming call features for `daily` and `night` epochs of one participant monitored on the US East coast.
1. Install RAPIDS and make sure your `conda` environment is active (see [Installation](../../setup/installation))
2. Make the changes listed below for the corresponding [Initial Configuration](../../setup/configuration) step (we provide an example of what the relevant sections in your `config.yml` will look like after you are done)
!!! info "Things to change on each configuration step"
1\. Setup your database connection credentials in `.env`. We assume your credentials group is called `MY_GROUP`.
2\. `America/New_York` should be the default timezone
3\. Create a participant file `p01.yaml` based on one of your participants and add `p01` to `[PIDS]` in `config.yaml`. The following would be the content of your `p01.yaml` participant file:
```yaml
PHONE:
DEVICE_IDS: [aaaaaaaa-1111-bbbb-2222-cccccccccccc] # your participant's AWARE device id
PLATFORMS: [android] # or ios
LABEL: MyTestP01 # any string
START_DATE: 2020-01-01 # this can also be empty
END_DATE: 2021-01-01 # this can also be empty
```
4\. `[DAY_SEGMENTS][TYPE]` should be the default `PERIODIC`. Change `[DAY_SEGMENTS][FILE]` with the path of a file containing the following lines:
```csv
label,start_time,length,repeats_on,repeats_value
daily,00:00:00,23H 59M 59S,every_day,0
night,00:00:00,5H 59M 59S,every_day,0
```
5\. If you collected data with AWARE you won't need to modify the attributes of `[DEVICE_DATA][PHONE]`
6\. Set `[PHONE_CALLS][PROVIDERS][RAPIDS][COMPUTE]` to `True`
!!! example "Example of the `config.yaml` sections after the changes outlined above"
```
PIDS: [p01]
TIMEZONE: &timezone
America/New_York
DATABASE_GROUP: &database_group
MY_GROUP
# ... other irrelevant sections
DAY_SEGMENTS: &day_segments
TYPE: PERIODIC
FILE: "data/external/daysegments_periodic.csv" # make sure the three lines specified above are in the file
INCLUDE_PAST_PERIODIC_SEGMENTS: FALSE
# No need to change this if you collected AWARE data on a database and your credentials are grouped under `MY_GROUP` in `.env`
DEVICE_DATA:
PHONE:
SOURCE:
TYPE: DATABASE
DATABASE_GROUP: *database_group
DEVICE_ID_COLUMN: device_id # column name
TIMEZONE:
TYPE: SINGLE # SINGLE or MULTIPLE
VALUE: *timezone
############## PHONE ###########################################################
################################################################################
# ... other irrelevant sections
# Communication call features config, TYPES and FEATURES keys need to match
PHONE_CALLS:
TABLE: calls # change if your calls table has a different name
PROVIDERS:
RAPIDS:
COMPUTE: True # set this to True!
CALL_TYPES: ...
```
3. Run RAPIDS
```bash
./rapids -j1
```
4. The call features for daily and morning day segments will be in
```
/data/processed/features/p01/phone_calls.csv
```