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Production API

Browse the data, and run SQL queries at https://subject-set-search-api.zooniverse.org

Example queries

All subjects from set 92752 where subject.metadata.Date contains 'December'.

https://subject-set-search-api.zooniverse.org/subjects/92752?_sort=rowid&Date__contains=December

Or as JSON.

https://subject-set-search-api.zooniverse.org/subjects/92752.json?_sort=rowid&Date__contains=December

Queries use the Datasette JSON API with column filter arguments.

Installation

Use docker and docker-compose, no other way is supported

Getting Started

Generate some data

Generate some test data by writing some csv files to ./data/. Each file will be named after a subject set ID: 12345.csv.

node src/subject-set.js

Building the SQLite db(s)

Use custom docker image to build the dbs

The following will build a sqlite subjects db with one table for each csv file in the /data/ directory of this repository. The table names are subject set IDs. One table per subject set.

docker-compose build

Run Datasette with the built sql databases from above

docker-compose up

This will start datasette and serve all the newly created files at http://127.0.0.1:8001

See docker-compose.yaml for more information

Run SQL queries directly against the databases

JSON format

HTML format

Manually interact with the sqlite db or datasette via bash

docker-compose run --rm --service-ports datasette bash
# do what you want on the file system
#
# re-run the builder script manually
import-csv-files-to-sqlite.sh
#
# use sqlite repl to interact with the database.db file
sqlite3 /mnt/databases/folder/database.db
#
# start datasette in config directoy & cors mode
datasette -h 0.0.0.0 --cors ./databases

Updates

  • 2021.09.29: Intentional rebuild triggered.