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a40bf10b9f
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.
126 lines
2.1 KiB
YAML
126 lines
2.1 KiB
YAML
type: bulk
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args:
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- type: run_sql
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args:
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sql: |
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CREATE EXTENSION IF NOT EXISTS postgis;
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- type: run_sql
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args:
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sql: |
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CREATE EXTENSION IF NOT EXISTS postgis_topology;
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#User location table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE drone_3d_location (
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drone_id INTEGER PRIMARY KEY,
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location GEOGRAPHY(Pointz)
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);
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- type: track_table
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args:
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schema: public
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name: drone_3d_location
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#landmark table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE landmark (
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id SERIAL PRIMARY KEY,
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name TEXT,
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type TEXT,
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location GEOGRAPHY(Point)
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);
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- type: track_table
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args:
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schema: public
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name: landmark
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#straight_road table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE road (
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id SERIAL PRIMARY KEY,
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name TEXT,
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path GEOGRAPHY(LINESTRING)
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);
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- type: track_table
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args:
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schema: public
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name: road
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#curved_road table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE service_locations (
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id SERIAL PRIMARY KEY,
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service TEXT,
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locations GEOGRAPHY(MULTIPOINT)
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);
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- type: track_table
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args:
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schema: public
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name: service_locations
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#route table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE route (
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id SERIAL PRIMARY KEY,
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name TEXT,
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route GEOGRAPHY(MULTILINESTRING)
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);
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- type: track_table
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args:
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schema: public
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name: route
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#Area table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE area (
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id SERIAL PRIMARY KEY,
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name TEXT,
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area GEOGRAPHY(POLYGON)
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);
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- type: track_table
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args:
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schema: public
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name: area
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#Compounds table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE compounds (
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user_id integer PRIMARY KEY,
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name TEXT,
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areas GEOGRAPHY(MULTIPOLYGON)
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);
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- type: track_table
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args:
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schema: public
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name: compounds
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#Generic geometry table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE geometry_collection (
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id SERIAL PRIMARY KEY,
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geometries GEOGRAPHY(GEOMETRYCOLLECTION)
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);
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- type: track_table
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args:
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schema: public
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name: geometry_collection
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