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10-minute Quickstart

First, clone this repo to your local system.

Mephisto requires >= Python 3.8 and >= npm v6.

Installation​

Run the following in the root repo directory:

$ pip install -e .

Alternatively, we also support installation via the dependency/environment manager project poetry as an option:

# install poetry
$ curl -sSL https://install.python-poetry.org | python3 -
# from the root dir, install Mephisto:
$ poetry install

Are you a Docker user? We support that too! Check out our Docker guide.

Setup​

Now that you have Mephisto installed, you should have access to the mephisto CLI tool.

Let's use this CLI tool to set up a data directory via the mephisto config command. The data directory is where the results of your crowdsourcing tasks will be stored.

The command below expects that you have created a folder named "mephisto-data" at your home directory and a folder named "data" inside of it.

$ mephisto config core.main_data_directory ~/mephisto-data/data

Check that everything is set up correctly!

$ mephisto check
Mephisto seems to be set up correctly.

(Optional) Set up MTurk​

If you want to be launching requests on MTurk, you'll want to create a requester. To do this you'll want to create an IAM role on AWS with the MechanicalTurkFullAccess permission, on an AWS account that is linked to the requester you want to use. You will be given an access_key_id and a secret_access_key. To register these with Mephisto, a new requester can be setup via the Mephisto CLI (make sure to replace $ACCESS_KEY and $SECRET_KEY below):

$ mephisto register mturk \
        name=my_mturk_user \
        access_key_id=$ACCESS_KEY\
        secret_access_key=$SECRET_KEY
AWS credentials successfully saved in ~/.aws/credentials file.

Registered successfully.

You can choose any name here instead of my_mturk_user - this will be the id that you later refer to when using that requester.

For an mturk_sandbox requester, you should suffix the requester name with "_sandbox", e.g.: my_mturk_user_sandbox.

Here's an example of setting up an "mturk_sandbox" requester:

$ mephisto register mturk_sandbox \
        name=my_mturk_user_sandbox \
        access_key_id=$ACCESS_KEY\
        secret_access_key=$SECRET_KEY

Registered successfully.

Note that registering a sandbox user will not create a new entry in your ~/.aws/credentials file if it's for the same account as your production user, as sandbox and prod use the same access keys.

After this, you can use mephisto.provider.requester_name=my_mturk_user or mephisto.provider.requester_name=my_mturk_user_sandbox respectively to launch a task live or on sandbox.

(Optional) Set up Heroku​

If you want to launch a task publicly, you'll need to use an Architect with external access. At the moment, we support the HerokuArchitect and EC2Architect, though the former is simpler to use. The steps for setup can be found by running:

$ python mephisto/scripts/heroku/initialize_heroku.py

If you get the message "Successfully identified a logged in heroku user.", then you're done. Otherwise, this script will give you a set of steps to log in to the heroku CLI.

Let's get launching!​

Now that you have your environment set up, you're ready to get your first task running. Continue here.