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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.
111 lines
2.0 KiB
YAML
111 lines
2.0 KiB
YAML
type: bulk
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args:
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#Author table
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- type: run_sql
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args:
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sql: |
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create table author(
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id serial primary key,
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name text unique,
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payments_done boolean not null default false
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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: author
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#Article table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE article (
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id SERIAL PRIMARY KEY,
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title TEXT,
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content TEXT,
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author_id INTEGER NOT NULL REFERENCES author(id),
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is_published BOOLEAN,
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published_on TIMESTAMP
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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: article
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#Object relationship
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- type: create_object_relationship
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args:
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table: article
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name: author
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using:
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foreign_key_constraint_on: author_id
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#Array relationship
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- type: create_array_relationship
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args:
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table: author
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name: articles
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using:
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foreign_key_constraint_on:
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table: article
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column: author_id
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#Prevent deletion if payments to the author is not yet done
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- type: create_delete_permission
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args:
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table: author
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role: user
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permission:
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filter:
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$and:
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- id: X-HASURA-USER-ID
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- payments_done: true
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#A user can delete only his articles
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- type: create_select_permission
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args:
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table: article
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role: user
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permission:
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columns:
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- id
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- title
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- content
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- author_id
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filter:
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$and:
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- author_id: X-HASURA-USER-ID
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#A user can delete only his articles
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- type: create_delete_permission
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args:
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table: article
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role: user
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permission:
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filter:
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$and:
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- author_id: X-HASURA-USER-ID
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#Create resident table
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- type: run_sql
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args:
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sql: |
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CREATE TABLE resident (
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id SERIAL PRIMARY KEY,
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name TEXT NOT NULL,
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age INTEGER NOT NULL
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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: resident
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- type: create_delete_permission
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args:
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table: resident
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role: resident
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permission:
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filter:
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id: X-Hasura-Resident-Id
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