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Maskwacîs recordings validation

Tests

A Django web app for viewing and validating Cree recordings done in Maskwacîs.

Install

Requires Python 3.10, Pipenv, and ffmpeg.

Development environment

To install dependencies and setup for development (e.g., on your laptop):

make install-dev

This will also setup the git pre-commit hook.

You will also need:

  • crk.zhfst from building lang-crk with --enable-spellers

  • private/metadata.csv from downloading the “Master Recordings MetaData” document on google drive as CSV

  • some sessions from sapir:/data/av/backup-mwe/sessions in /data/sessions; 2015-03-23-__-___-_ (6GB) is known to work.

Production

NOTE: Before you continue, you may want to run export PIPENV_VENV_IN_PROJECT=True so that you can find the virtual environment later!

To install dependencies and setup for production (e.g., on the server):

make install-prod

Find configuration files and templates in private/.

Testing

To install dependencies and setup for testing (e.g., on Travis-CI):

make install-test

Configuring environment variables

The app needs to know:

  • where the raw recording sessions are
  • where to find the "Recordings Master MetaData" CSV file
  • where to place transcoded audio files
  • where to place SQLite3 database
  • [production-only] where to collect (i.e., copy) static files

These are configured in a file called .env in the root of this repository.

NOTE: make install-* should have created a .env for you to append to.

The additional configuration should following this template:

RECVAL_SESSIONS_DIR=/absolute/path/to/recording/sessions/
RECVAL_METADATA_PATH=/absolute/path/to/master-recordings-metadata.csv
RECVAL_SQLITE_DB_PATH=/absolute/path/to/sqlite3/database.sqlite3
STATIC_ROOT=/absolute/path/to/static/files/directory/  # (production-only)
SMTP_USER=valid_username@emailprovider.com
SMTP_PASS="password"

Replace the paths as appropriate.

RECVAL_SESSIONS_DIR

This directory contains all of the recording sessions. Each entry in the RECVAL_SESSIONS_DIR/ is a subdirectory named in the normalized session format. Each subdirectory has .eaf and .wav files of the recording session.

For example, if I have sessions for 2018-01-01 and 2018-01-07am in /data/av/sessions, then I will have the following line in .env:

RECVAL_SESSIONS_DIR=/data/av/sessions

And if I run the following commands, I should see the directory listing for my sessions directory:

. .env
ls -F $RECVAL_SESSIONS_DIR
2018-01-01-__-___-_/
2018-01-07-AM-___-_/

If I then inspect the directory for 2018-01-07am:

ls
ls -F $RECVAL_SESSIONS_DIR/2018-01-07-AM-___-_/

I should get a directory containing files like this.

Track 2_001.eaf
Track 2_001.wav
Track 3_001.eaf
Track 3_001.wav
Track 4_001.eaf
Track 4_001.wav
...

NOTE: The *.wav files may be in a subdirectory called ${SESSION_NAME}_Recorded, if the recordings where done with Adobe Audition. In this example, the .wav files would be in 2018-01-07am_Recorded.

RECVAL_METADATA_PATH

This should point to the "Master Recording MetaData" file, obtained from Google Drive, downloaded as a CSV file. This file is explained more thoroughly in Creating the database for the first time.

RECVAL_SQLITE_DB_PATH

This is the absolute path to the SQLite3 database---where all the validation data, and user data will be stored. This file will be written and read to a lot. It should not become terribly large, however; at most, it might grow to be 1 GiB, but I expect it to stay much, much lower.

Make sure this path is configured before running pipenv run python ./manage.py migrate

STATIC_ROOT

Note: this does not need to be configured in development mode.

Where to collect (i.e., copy) static assets. This is needed to place CSS and JavaScript in the right place so that the static web server can find them.

Set this to path that your web server can... well, serve from! Whenever you change any static files, or update Django, remember to run:

python manage.py collectstatic

This will copy all of the various static files to the configured directory.

See more: https://docs.djangoproject.com/en/2.1/ref/settings/#std:setting-STATIC_ROOT

SMTP_USER

This email is used to contact admins in certain scenarios. You may have to ask someone for this.

SMTP_PASS

This is the plain text password for the SMTP_USER.

Creating the database for the first time

Before you import any data, you need the "Master Recording MetaData" (sic) spreadsheet, available on Google Drive. This should have been downloaded using the ./init script from earlier, but if you still don't have, either download it manually as a CSV file as $RECVAL_METADATA_PATH.

Then, initialize the database using the following command:

pipenv run python manage.py migrate

This will create all the necessary tables in the SQLite3 database.

Pre-loading Speaker data

Some speakers have pre-saved data associated with them. To load this data into the database, run:

pipenv run python manage.py loaddata speaker_info

This will load the speaker information found at validation/management/fixtures/

Importing recordings

In order to import recordings on Sapir, type the following:

pipenv run python manage.py importrecordings

This will automatically scan $RECVAL_SESSIONS_DIR/ (defined in .env).

$RECVAL_SESSIONS_DIR/ should be a directory filled with directories (or symbolic links to directories) with filenames in the form of:

{ISOdate}-{AM/PM}-{Location or '___'}-{Subsession or '_'}

For example, on Sapir, I might have something like this:

$ export RECVAL_SESSIONS_DIR=/data/av/backup-mwe/sessions
$ ls -1 $RECVAL_SESSIONS_DIR
2015-05-08-AM-___-_
2016-05-16-PM-___-_
2016-11-28-AM-US-2
2017-05-25-AM-DS-2
2018-04-18-AM-KCH-_
...

Each directory should have *.eaf files paired with a *.wav file:

$ ls -F1 $RECVAL_SESSIONS_DIR/2015-05-08-AM-___-_/
2015-05-08-01.eaf
2015-05-08-01.wav
2015-05-08-02.eaf
2015-05-08-02.wav
2015-05-08-03.eaf
2015-05-08-03.wav
...

Auto-validating entries

Some entries have very close spellings that can be auto-validated. This only needs to be done once after the initial data import. Auto-validate entries by running:

python manage.py autoval

Collecting the static files

NOTE: this is not relevant when in development mode or when DEBUG=True

In the production server, you must copy all of the static files to a single folder where the web server (e.g., Apache, Nginx) can serve them without even consulting the Django app.

To copy the files, ensure STATIC_ROOT is configured properly, then run:

pipenv run python manage.py collectstatic

Creating a superuser (admin)

To access the admin panel, you'll need at least one admin user. To create one, run the following command and follow the prompts:

pipenv run python manage.py createsuperuser

For more info, see Django's documentation on createsuperuser.

Running

To run a development server, use the following.

pipenv run python manage.py runserver

The main site should be available at http://localhost:8000/. The admin interface should be available at http://localhost:8000/admin.

The server can also be run through Docker by running:

docker-compose up --build

on a machine with Docker installed.

Testing

To run the tests, type:

make test

This will run the mypy static type checker, and then pytest.

To edit the tests for librecval, see tests/. For Django tests, look inside the validation/tests directory.

Cypress Tests

There are also Cypress integrations tests that can be run by doing:

npx cypress open

This opens the interactive Cypress testing window. Select Run integration specs to run all tests.

To run Cypress tests against a test database, use:

make integration-test

This will call ci_run_cypress.py and create a test DB for you!

Note: DO NOT try to run Cypress tests on production: this will validate some entries due to the nature of the tests.

Web API

There are two API calls.

Recording results

Both API calls return a list of matched recordings, with each recording having the following name/value pairs:

  • wordform: the wordform that the recording corresponds to. Internally, this corresponds to the Phrase.transcription.
  • speaker: the speaker's short code (e.g., something like "ROS" or "JER")
  • speaker_name: the speaker's full name
  • gender: the speaker's gender: either "M" or "F" (all our speakers identify as male or female).
  • dialect: the region of Cree that this person speaks
  • recording_url: Absolute URI to the audio, encoded as AAC in an MP4 container (a *.m4a file). This can be used in an <audio> tag.
  • speaker_bio_url: Absolute URI to the speaker's biography.

Bulk recording search

URL:

/api/bulk_search?q={wordform-1}&q={wordform-2}&...&q={wordform-n}

Where {wordform-i} is a wordform that you want to get recordings for. The spelling must be exact to the Phrase.transcription. You can search for an arbitrary amount of wordforms, however note that services may not process large requests (see: “Errors” below).

Response

The response is an object with two name/value pairs:

{
  "matched_recordings": [...],
  "not_found": [...]
}
  • matched_recordings will be an array of recording results (see above).
  • not_found is an array of strings; each string is a wordform that has no recordings.

Errors

speech-db will not explicitly issue errors, however application servers and proxies may drop or reject large requests. If speech-db is running in front of an application server (e.g., uwsgi), you may get 502 Bad Gateway errors when too many wordforms are requested. The fix is to request fewer wordforms (possibly by batching requests).

Example

Searching for kiskisiw, nikiskisin, fhqwhgads (non-word).

GET /api/bulk_search?q=kiskisiw&q=nikiskisin&q=fhqwhgads HTTP/1.1

Result:

{
    "matched_recordings": [
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/a7714df80b4e3d404a0ff9e6d743221285f228721c922262f9036f67e26d5edc_dkoSdSS.m4a",
            "speaker": "ANN",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ANN.html",
            "speaker_name": "Annette Lee",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/8dc6c2b21a597130366e57a6a2b4b35806493e77e91b7a19563dad786752c58d_Udjqiuq.m4a",
            "speaker": "ANN",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ANN.html",
            "speaker_name": "Annette Lee",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "M",
            "recording_url": "http://speech-db.altlab.app/media/audio/d6291252925f447789e55ccc3f19c46c66ec2cbefacb2090224dec4ff01766bb_ojSf0sB.m4a",
            "speaker": "JER",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/JER.html",
            "speaker_name": "Jerry Roasting",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "M",
            "recording_url": "http://speech-db.altlab.app/media/audio/627382176984bbe1dc97ce241327ac28919bf9ffa0be7dc7502fd1fb2f7b25f5_GOlSlBM.m4a",
            "speaker": "JER",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/JER.html",
            "speaker_name": "Jerry Roasting",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/2580def01f7b6808d88bb23dadf169a2f9f474cbdb7f46bb267b5653a013b459_rwd7jQ0.m4a",
            "speaker": "MAR",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/MAR.html",
            "speaker_name": "Mary-Jean Littlechild",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/acf9b0d65a7a3e72f67ca6cecc5c2f4e6160f558d8724bc53d18618b096b533f_hZ02vZp.m4a",
            "speaker": "MAR",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/MAR.html",
            "speaker_name": "Mary-Jean Littlechild",
            "wordform": "kiskisiw"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/2198ff134107ff474115cdb48ee36f88c17168e215fe424da4cc414bab0f4582_MGuwvND.m4a",
            "speaker": "LOU",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/LOU.html",
            "speaker_name": "Louise Wildcat",
            "wordform": "nikiskisin"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/e8dd10846601861c1e9c4edf944b1e4da7670ed669fe027bd0b27e0af954e031_jIrtglj.m4a",
            "speaker": "LOU",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/LOU.html",
            "speaker_name": "Louise Wildcat",
            "wordform": "nikiskisin"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "M",
            "recording_url": "http://speech-db.altlab.app/media/audio/1576034645a6b765ab40275a67390fa197ee3c7ed8cc949907d132df3c0f1c9e_ybXLQLW.m4a",
            "speaker": "GOR",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/GOR.html",
            "speaker_name": "kîsikâw",
            "wordform": "nikiskisin"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "M",
            "recording_url": "http://speech-db.altlab.app/media/audio/a86939d888ff908d091538b2c1a3dc4fb383167b781b5dddddd4253342b0dace_SIlbUPl.m4a",
            "speaker": "GOR",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/GOR.html",
            "speaker_name": "kîsikâw",
            "wordform": "nikiskisin"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/7353dda3d48799325ee62de0eceb4b50839382cfcf0ebf96c70d84fd37881201_PYYtyur.m4a",
            "speaker": "ROS",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ROS.html",
            "speaker_name": "Rose Makinaw",
            "wordform": "nikiskisin"
        },
        {
            "anonymous": false,
            "dialect": "Maskwacîs",
            "gender": "F",
            "recording_url": "http://speech-db.altlab.app/media/audio/dac08c374354594b7a77195daa4fd2e12a88acc5acf4e4894dd612354c1e7a92_XnZV0UY.m4a",
            "speaker": "ROS",
            "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ROS.html",
            "speaker_name": "Rose Makinaw",
            "wordform": "nikiskisin"
        }
    ],
    "not_found": [
        "fhqwhgads"
    ]
}

Legacy recording search

URL:

/recording/_search/{query}

Where {query} is replaced by one ore more Cree wordforms, written in SRO. If more than one wordform is supplied, each wordform must be separated by a single comma (,).

This will return a JSON array of recordings of those word forms in the way documented above.

Errors

Will respond with HTTP 404 if no recordings match the query. Note that the recordings' speaker's must have a non-null gender before they appear in search results. So make sure all Speaker instances have a non-null value for gender!

Example

Finding recordings of 'nikiskisin' and 'kiskisiw':

GET /recording/_search/nikiskisin,kiskisiw  HTTP/1.1

Assume there are six recordings for nikiskisin, and none for kiskisiw, this will return:

[
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "F",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/7353dda3d48799325ee62de0eceb4b50839382cfcf0ebf96c70d84fd37881201.m4a",
        "speaker": "ROS",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ROS.html",
        "speaker_name": "Rose Makinaw",
        "wordform": "nikiskisin"
    },
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "F",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/dac08c374354594b7a77195daa4fd2e12a88acc5acf4e4894dd612354c1e7a92.m4a",
        "speaker": "ROS",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/ROS.html",
        "speaker_name": "Rose Makinaw",
        "wordform": "nikiskisin"
    },
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "M",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/1576034645a6b765ab40275a67390fa197ee3c7ed8cc949907d132df3c0f1c9e.m4a",
        "speaker": "GOR",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/GOR.html",
        "speaker_name": "kîsikâw",
        "wordform": "nikiskisin"
    },
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "M",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/a86939d888ff908d091538b2c1a3dc4fb383167b781b5dddddd4253342b0dace.m4a",
        "speaker": "GOR",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/GOR.html",
        "speaker_name": "kîsikâw",
        "wordform": "nikiskisin"
    },
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "F",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/2198ff134107ff474115cdb48ee36f88c17168e215fe424da4cc414bab0f4582.m4a",
        "speaker": "LOU",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/LOU.html",
        "speaker_name": "Louise Wildcat",
        "wordform": "nikiskisin"
    },
    {
        "anonymous": false,
        "dialect": "Maskwacîs",
        "gender": "F",
        "recording_url": "http://sapir.artsrn.ualberta.ca/validation/recording/e8dd10846601861c1e9c4edf944b1e4da7670ed669fe027bd0b27e0af954e031.m4a",
        "speaker": "LOU",
        "speaker_bio_url": "https://www.altlab.dev/maskwacis/Speakers/LOU.html",
        "speaker_name": "Louise Wildcat",
        "wordform": "nikiskisin"
    }
]

Generating Transcription Files

These are necessary in order to run Persephone and Simple4All against the current set of recordings.

The following steps should be performed from within the pipenv shell

First, populate the database by running:

python manage.py migrate
python manage.py importrecordings

Then generate the .wav files:

python manage.py importrecordings --wav --skip-db

This saves all the recording snippets to the ./audio directory, unless otherwise specified (not recommended for this task).

Now auto-validate the recordings (you can skip this step if you just want the transcriptions files for the raw data):

python manage.py autoval

Next, create the transcription files by running:

python manage.py writetranscriptions

This should create:

  • A new folder for each speaker code, eg: ./audio/LOU
  • A copy of each .wav file in the speaker folder, eg: ./audio/LOU/wav/audio_id.wav
  • Transcription files to be used by Persephone, eg: ./audio/LOU/label/audio_id.txt
  • Transcription files to be used by Simple4All, eg: ./audio/LOU/s4a/audio_id.txt

If there are auto-validated entries in the database, it will also create:

  • Transcription files for the auto-validated data to be used by Persephone, eg: ./audio/LOU/auto-val/label/audio_id.txt
  • Transcription files for the auto-validated data to be used by Simple4All, eg: ./audio/LOU/auto-val/audio_id.txt

Frequently Asked Questions

What is “recval”?

It's short for Recordings validation. I didn't want to type that out all the time, and I didn't want to puts spaces, hyphens or underscores to refer to it.

What is librecval?

librecval is a library for extracting recordings, transcoding recordings to a normalized format, and combining the recordings with metadata, as well as representing recordings data in an framework-agnostic way. This library should be devoid of references or dependencies on any web framework or database backend.

What is recvalsite?

It's the Django project for the recording validation site. This aggregates all of the Django apps under one deployable website.

License

Copyright (C) 2021-2024 Eddie Antonio Santos easantos@ualberta.ca, Jolene Poulin jcpoulin@ualberta.ca, Felipe Bañados Schwerter banadoss@ualberta.ca

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.