psyserver 0.1.0

A server to host studies and host study data.

psyserver

A server to host online studies on.

Run

# 1. set up conda environment
conda create -n psyserver python=3.11
conda activate psyserver

# 2. install package
pip install psyserver

# 3. create psyserver folder
mkdir server
cd server

# 3. create example config/structure
psyserver init

# 4. configure server
# open psyserver.toml with your editor of choice, e.g. vim
vim psyserver.toml

# 5. run server
psyserver run

Configuration

The server is configured in the file psyserver.toml. This file has to be in the directory from which you call psyserver run.

The configuration has two groups:

1. psyserver
2. uvicorn

psyserver config

[psyserver]
studies_dir = "studies"
data_dir = "data"

Here you can configure following fields:

• studies_dir: path to directory which contains studies. Any directory inside will be reachable via the url. E.g. a study in <studies_dir>/exp_cute/index.html will have the url <host>:<port>/exp_cute/index.html.
• data_dir: directory in which study data is saved. E.g. data submissions to the url <host>:<port>/exp_cute/save will be saved in <data_dir>/exp_cute/. Has to be different from studies_dir.

uvicorn config

[uvicorn]
host = "127.0.0.1"
port = 5000
log_level = "info"

This configures the uvicorn instance runnning the server. You can specify the host, port and https. For all possible keys, go to the uvicorn settings documentation.

How to save data to psyserver

Participant data sent to the server needs to adhere to a certain format.

We recommend using jquery to post the data.

Generally, data is sent to /<study>/save.

Save as json

// example data
participant_data = {
  id: "debug_1",
  condition: "1",
  experiment1: [2, 59, 121, 256],
  // ...
};
// post data to server
$.ajax({
  url: "/exp_cute/save",
  type: "POST",
  data: JSON.stringify(participant_data),
  contentType: "application/json",
  success: () => {
    console.log("Saving successful");
    // success function
  },
}).fail(() => {
  console.log("ERROR with $.post()");
});

Note that you need to call JSON.stringify on your data. Without this, you will get an unprocessable entity error.

Save as csv

If you want to save your data as .csv, you can call /<study>/save/csv.

The transmitted json object is required to have following parameters:

• id: The participant id, used as a filename.
• trialdata: A list of dict-like objects. The keys of the first row of this list is used to determine the csv header. If new keys are encountered, an 422 - unprocessable entity error will be raised.
• fieldnames: A list of strings containing the names . Keys encountered in trialdata will be saved in this order. This field is useful if you have varying keys in trialdata, and do not want to modify the first entry to have all keys.

Example without fieldnames

// example data
participant_data = {
  id: "debug_1",
  trialdata: [
    { trial: 1, time: 120230121, correct: true },
    { trial: 2, time: 120234001, correct: false },
    { trial: 3, time: 120237831, correct: true },
    // ....
  ],
};
// post data to server
$.ajax({
  url: "/exp_cute/save/csv",
  type: "POST",
  data: JSON.stringify(participant_data),
  contentType: "application/json",
  success: () => {
    console.log("Saving successful");
    // success function
  },
}).fail(() => {
  console.log("ERROR with $.post()");
});

Will be saved as <data_dir>/exp_cute/debug_1_CURRENTDATETIME.csv:

trial,time,correct
1,120230121,true
2,120234001,false
3,120237831,true

Example with fieldnames

This

// example data
participant_data = {
  id: "debug_1",
  trialdata: [
    { trial: 1, time: 120230121, correct: true },
    { trial: 2, time: 120234001, correct: false, extra: "field" },
    { trial: 3, time: 120237831, correct: true },
    // ....
  ],
  fieldnames: ["trial", "time", "correct", "extra"],
};
// post data to server
$.ajax({
  url: "/exp_cute/save/csv",
  type: "POST",
  data: JSON.stringify(participant_data),
  contentType: "application/json",
  success: () => {
    console.log("Saving successful");
    // success function
  },
}).fail(() => {
  console.log("ERROR with $.post()");
});

Will be saved as <data_dir>/exp_cute/debug_1_CURRENTDATETIME.csv:

trial,time,correct,extra
1,120230121,true,,
2,120234001,false,field
3,120237831,true,

Development

Setup

# 1. set up conda environment
conda create -n psyserver python=3.11
conda activate psyserver

# 2. clone
git clone [e-mail]:GabrielKP/psyserver.git
cd psyserver

# 3. install in editor mode
pip install -e .

Testing

# normal test
pytest . -v

# coverage
coverage run -m pytest
# html report
coverage html