An API for citing Wayback snapshots using OpenAnnotations

For those who want to make a capture without saving a record or an annotation to the database:

curl -X POST -H "Content-Type: application/json" -d '{"url": "https://google.com"}}' https://pragma.archivelab.org/capture

Submitting a POST request to the root path (https://pragma.archivelab.org) with JSON data containing url (String) and annotation (Object) fields will save a snapshot of url using the Wayback Machine and store the annotation object, making a bidirectional link between the stored snapshot and annotation entries. Here's an example of such a request:

curl -X POST -H "Content-Type: application/json" -d '{"url": "google.com", "annotation": {"id": "lst-ib", "message": "Theres a microphone button in the searchbox"}}' https://pragma.archivelab.org

Making a GET request The root path (https://pragma.archivelab.org) will return a list of wayback snapshots created through the system, while the path https://pragma.archivelab.org/annotations will return a list of annotations. In both cases, individual items can be requested by suffixing the id of the item desired, e.g. https://pragma.archivelab.org/5 for snapshot 5, or https://pragma.archivelab.org/annotations/13 for annotation 13.

Clone the pragma repository

$ git clone https://github.com/ArchiveLabs/pragma.archivelab.org.git

Install postgres & system dependencies

$ sudo apt-get install postgresql-9.4 postgresql-server-dev-9.4

Install python libraries

$ cd pragma
$ sudo pip install .

Connect to postgres and create database:

$ sudo -upostgres psql # connect to postgres

Change user and password below as desired:

CREATE USER annotator WITH PASSWORD 'myPassword';
CREATE DATABASE pragma OWNER annotator;
GRANT ALL PRIVILEGES ON DATABASE pragma to annotator;

Create the following config file in pragma: configs/settings.cfg

[server]
host = 0.0.0.0
port = 8080
debug = 0

[ssl]
crt =
key =

[db]
host = localhost
user = annotator
pw = myPassword
dbn = postgres
db = pragma
port = 5432

Generate sqlalchemy models:

$ python
>>> from pragma.api import engine
>>> from pragma.api import Pragma
>>> Pragma.metadata.create_all(engine)

Start the server:

$ python app.py