graphql-engine/server/tests-py/test_graphql_introspection.py
nizar-m a40bf10b9f run graphql tests on both http and websocket; add parallelism (close #1868) (#1921)
Examples 
1)  `
pytest --hge-urls "http://127.0.0.1:8080" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests" -vv
`
2)  `pytest --hge-urls "http://127.0.0.1:8080"   "http://127.0.0.1:8081" --pg-urls "postgresql://admin@127.0.0.1:5432/hge_tests"  "postgresql://admin@127.0.0.1:5432/hge_tests2" -vv
`
### Solution and Design
<!-- How is this issue solved/fixed? What is the design? -->
<!-- It's better if we elaborate -->
#### Reducing execution time of tests
- The Schema setup and teardown, which were earlier done per test method, usually takes around 1 sec. 
- For mutations, the model has now been changed to only do schema setup and teardown once per test class.
-  A data setup and teardown will be done once per test instead (usually takes ~10ms).
- For the test class to get this behaviour, one can can extend the class `DefaultTestMutations`. 
    - The function  `dir()` should be define which returns the location of the configuration folder.
    - Inside the configuration folder, there should be 
        - Files `<conf_dir>/schema_setup.yaml` and `<conf_dir>/schema_teardown.yaml`, which has the metadata query executed during schema setup and teardown respectively
        - Files named `<conf_dir>/values_setup.yaml` and `<conf_dir>/values_teardown.yaml`. These files are executed to setup and remove data from the tables respectively. 

#### Running Graphql queries on both http and websockets
- Each GraphQL query/mutation is run on the both HTTP and websocket protocols
- Pytests test parameterisation is used to achieve this
- The errors over websockets are slightly different from that on HTTP
   - The code takes care of converting the errors in HTTP to errors in websockets

#### Parallel executation of tests.
- The plugin pytest-xdist helps in running tests on parallel workers.
- We are using this plugin to group tests by file and run on different workers.
- Parallel test worker processes operate on separate postgres databases(and separate graphql-engines connected to these databases). Thus tests on one worker will not affect the tests on the other worker.
- With two workers, this decreases execution times by half, as the tests on event triggers usually takes a long time, but does not consume much CPU.
2019-04-08 12:52:38 +05:30

35 lines
1.3 KiB
Python

import yaml
from validate import check_query_f, check_query
from super_classes import DefaultTestSelectQueries
class TestGraphqlIntrospection(DefaultTestSelectQueries):
def test_introspection(self, hge_ctx):
with open(self.dir() + "/introspection.yaml") as c:
conf = yaml.safe_load(c)
resp = check_query(hge_ctx, conf)
hasArticle = False
hasArticleAuthorFKRel = False
hasArticleAuthorManualRel = False
for t in resp['data']['__schema']['types']:
if t['name'] == 'article':
hasArticle = True
for fld in t['fields']:
if fld['name'] == 'author_obj_rel_manual':
hasArticleAuthorManualRel = True
assert fld['type']['kind'] == 'OBJECT'
elif fld['name'] == 'author_obj_rel_fk':
hasArticleAuthorFKRel = True
assert fld['type']['kind'] == 'NON_NULL'
assert hasArticle
assert hasArticleAuthorFKRel
assert hasArticleAuthorManualRel
def test_introspection_user(self, hge_ctx):
check_query_f(hge_ctx, self.dir() + "/introspection_user_role.yaml")
@classmethod
def dir(cls):
return "queries/graphql_introspection"