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59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
import pytest
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import sqlalchemy
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from context import HGECtx
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import fixtures.postgres
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from validate import check_query_f
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usefixtures = pytest.mark.usefixtures
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@pytest.mark.parametrize('transport', ['http', 'websocket'])
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@pytest.mark.backend('postgres', 'citus')
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@pytest.mark.admin_secret
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@pytest.mark.hge_env('HASURA_GRAPHQL_ADMIN_INTERNAL_ERRORS', 'false')
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@usefixtures('setup_schema_externally')
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class TestGraphQLOnReadOnlySource:
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@classmethod
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def dir(cls):
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return 'queries/graphql_query/read_only_source'
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setup_metadata_api_version = 'v2'
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def test_query_aves(self, hge_ctx, transport):
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check_query_f(hge_ctx, self.dir() + '/select_query_aves.yaml', transport)
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# graphql-engine's websocket response is different than in http on execution
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# errors; so this test is run only on http
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def test_mutation_aves(self, hge_ctx, transport):
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if transport != 'http':
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pytest.skip('This test should only run over HTTP.')
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check_query_f(hge_ctx, self.dir() + '/update_query_aves.yaml', transport)
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# As this is a read-only test, we can't create the schema/tables as part of the
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# HGE metadata. Hence, we create it as a separate fixture, where we execute the
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# DDLs directly on the database.
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@pytest.fixture(scope='class')
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def setup_schema_externally(
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owner_engine: sqlalchemy.engine.Engine,
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hge_ctx: HGECtx,
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add_source,
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):
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source = 'read_only'
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backend = add_source(source, read_only = True)
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with fixtures.postgres.switch_schema(owner_engine, backend.name).connect() as connection:
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connection.execute("CREATE TABLE aves (id serial PRIMARY KEY, name TEXT)")
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connection.execute("INSERT INTO aves (name) VALUES ('Booted Eagle'), ('Hooded Merganser')")
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hge_ctx.v1metadataq({
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'type': 'pg_track_table',
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'args': {
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'source': source,
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'table': {
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'name': 'aves',
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},
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},
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})
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