Add a script for seeding data into the database

Expects a Data argument which is a directory containing the text for
A Study in Scarlet

derivation.nix

@@ -7,4 +7,7 @@ buildPythonApplication {
   src = ./.;
   pyproject = true;
   build-system = [setuptools];
+  postInstall = ''
+    install -Dm755 scripts/seed.py $out/bin/seed
+  '';
 }

scripts/seed.py

@@ -0,0 +1,42 @@
+#!/usr/bin/env python
+
+from sqlalchemy.orm import Session
+from src.infra.publication import (
+    PublicationEntryModel,
+    PublicationSequenceModel,
+    PublicationModel,
+    PublicationOrderModel,
+)
+import argparse
+import os
+from src.config.database import Database
+from src.infra.db import get_database
+
+if __name__ == '__main__':
+    arg_parser = argparse.ArgumentParser('seed.py', 'run to load seed data into a database')
+    arg_parser.add_argument('-u', '--url', help='The URL for the database', required=True)
+    arg_parser.add_argument('-d', '--data', help='the directory containing large content files', required=True)
+    args = arg_parser.parse_args()
+
+    with open(os.path.join(args.data, './a-study-in-scarlet.txt')) as infile:
+        text = infile.read()
+
+    db = get_database(Database(url=args.url, echo=True))
+    with Session(db) as session:
+        entry = PublicationEntryModel(text=text)
+        session.add(entry)
+        publication = PublicationModel(
+            title='Sherlock Holmes Canon',
+            description='A collection of detective mystery novels featuring Sherlock Holmes',
+            by_line='Sir Arthur Conan Doyle',
+        )
+        session.flush()
+        order = PublicationOrderModel(title='Published Timeline', publication_id=publication.id)
+        session.flush()
+        sequence = PublicationSequenceModel(
+            position=0,
+            entry_id=entry.id,
+            order_id=order.id,
+            duration=None,
+        )
+        session.commit()