MockThink is an in-process Python clone of RethinkDB's API. For testing.
MockThink provides a stub connection object which can be passed to normal ReQL queries. Instead of being serialized and sent to the server, the ReQL AST is run through an interpreter in the same process. "Tables" and "databases" are based on data given to the MockThink constructor.
Avoiding network calls (for tests themselves as well as setup/teardown) makes testing queries with MockThink orders of magnitude faster.
from pprint import pprint
from mockthink import MockThink
import rethinkdb as r
db = MockThink({
'dbs': {
'tara': {
'tables': {
'people': [
{'id': 'john-id', 'name': 'John'},
{'id': 'sam-id', 'name': 'Sam'}
]
}
}
}
})
with db.connect() as conn:
result = r.db('tara').table('people').map(
lambda doc: doc.merge({'also_name': doc['name']})
).run(conn)
pprint(list(result))
# [
# {'also_name': 'John', 'id': 'john-id', 'name': 'John'},
# {'also_name': 'Sam', 'id': 'sam-id', 'name': 'Sam'}
# ]
r.db('tara').table('people').update(
{'likes_fonz': True}
).run(conn)
result = r.db('tara').table('people').run(conn)
pprint(list(result))
# [
# {'id': 'john-id', 'likes_fonz': True, 'name': 'John'},
# {'id': 'sam-id', 'likes_fonz': True, 'name': 'Sam'}
# ]
# data is reset at exit of context manager above
with db.connect() as conn:
result = r.db('tara').table('people').run(conn)
pprint(list(result))
# [
# {'id': 'john-id', 'name': 'John'},
# {'id': 'sam-id', 'name': 'Sam'}
# ] from pprint import pprint
from mockthink import MockThink
import rethinkdb as r
db = MockThink({
'dbs': {
'tara': {
'tables': {
'people': [
{'id': 'john-id', 'first_name': 'John', 'last_name': 'Generic'},
{'id': 'sam-id', 'first_name': 'Sam', 'last_name': 'Dull'},
{'id': 'adam-id', 'first_name': 'Adam', 'last_name': 'Average'}
]
}
}
}
})
with db.connect() as conn:
r.db('tara').table('people').index_create(
'full_name',
lambda doc: doc['last_name'] + doc['first_name']
).run(conn)
r.db('tara').table('people').index_wait().run(conn)
result = r.db('tara').table('people').get_all(
'GenericJohn', 'AverageAdam', index='full_name'
).run(conn)
pprint(list(result))
# {'id': 'john-id', 'first_name': 'John', 'last_name': 'Generic'},
# {'id': 'adam-id', 'first_name': 'Adam', 'last_name': 'Average'}The most confusing test failures are those caused by errors in test frameworks and harnesses themselves. This means they need to be tested very thoroughly.
The main testing is a suite of functional tests which are targeted at the individual query level, e.g. testing all the ways in which r.merge might be called. These are all complete ReQL queries, but avoid complexity beyond the target query to make failures easier to diagnose.
The integration tests cover more complicated queries, e.g. eq_join->map->eq_join->map.
Both the functional and integration tests have two modes of execution, mockthink and rethink. The second mode runs the same tests against a running RethinkDB instance, and is much slower due to the network calls. mockthink mode is for testing MockThink's behavior against our expectations; rethink mode is for testing our expectations against reality.
The MIT License (MIT)
Copyright (c) 2014 Scott Ivey
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