Clean up db.py

src/nancy/__init__.py

@@ -1,26 +1,9 @@
 import sqlite3
 
-from . import db
+from . import store
 from .version import __version__
 
 
-# Calling code will build up a large DAG then at the very last step, call
-# nancy.save_data(). Only at that point will we determine where to save the
-# data by asking the user for an output dir. However, we need a database
-# initialized in order to build up the DAG in the first place, so here we
-# initialize an in-memory database to use until we have an output directory.
-_conn = db.init(":memory:")
-
-
-def persist_db(dbpath):
-    global _conn
-
-    dst_conn = sqlite3.connect(dbpath)
-    _conn.backup(dst_conn)
-    _conn.close()
-    _conn = dst_conn
-
-
 def save_data(
     destination_mapping,
     desc=f"Provenance-tracking with nancy v{__version__}",

src/nancy/db.py

@@ -3,7 +3,9 @@ import os
 import sqlite3
 
 
-schema_version = 2
+# This matches the recorded user_version in any nancy.db initialized in this
+# process.
+schema_version = 0
 
 
 def init(path):

src/nancy/version.py

@@ -1 +1,4 @@
-__version__ = "0.0.1pre"
+from .db import schema_version
+
+__version__ = "0.1.0"
+