* Update graphql-parser-hs and hence use `Scientific` directly
The new version of graphql-parser-hs returns Scientific and Integer
rather than Double and Int32, respectively. So we now need to do less
work in graphql-engine, and we can process larger numbers.
In practice, this means that when inserting a bigint, we no longer
need to specify the inserted integer as text. This is also
represented in the updated tests.
* Generate int overflow error on insert
* Document bigint insertion support in changelog
* Allow `_inc` to update other numeric types in addition to integers
* Add support for PostgreSQL's `money` field type
* Add support for _inc on money types
* Add note of generalized `_inc` support to changelog
* Fix catalog version for v1.1.1
* Remove entries of removed tables from hdb_catalog
While downgrading catalog version from 32 -> 31, not removing entries
in hdb_table and hdb_relationship for the tables that are removed in
the downgrade, results in incosistent schema, when the server with
downgraded version is started. This should probably be handled in
a better fashion.
With the change in this commit, the server is able to successfully
start with downgraded catalog version 31.
* Test downgrade command along with upgrade tests
* basic doc for actions
* custom_types, sync and async actions
* switch to graphql-parser-hs on github
* update docs
* metadata import/export
* webhook calls are now supported
* relationships in sync actions
* initialise.sql is now in sync with the migration file
* fix metadata tests
* allow specifying arguments of actions
* fix blacklist check on check_build_worthiness job
* track custom_types and actions related tables
* handlers are now triggered on async actions
* default to pgjson unless a field is involved in relationships, for generating definition list
* use 'true' for action filter for non admin role
* fix create_action_permission sql query
* drop permissions when dropping an action
* add a hdb_role view (and relationships) to fetch all roles in the system
* rename 'webhook' key in action definition to 'handler'
* allow templating actions wehook URLs with env vars
* add 'update_action' /v1/query type
* allow forwarding client headers by setting `forward_client_headers` in action definition
* add 'headers' configuration in action definition
* handle webhook error response based on status codes
* support array relationships for custom types
* implement single row mutation, see https://github.com/hasura/graphql-engine/issues/3731
* single row mutation: rename 'pk_columns' -> 'columns' and no-op refactor
* use top level primary key inputs for delete_by_pk & account select permissions for single row mutations
* use only REST semantics to resolve the webhook response
* use 'pk_columns' instead of 'columns' for update_by_pk input
* add python basic tests for single row mutations
* add action context (name) in webhook payload
* Async action response is accessible for non admin roles only if
the request session vars equals to action's
* clean nulls, empty arrays for actions, custom types in export metadata
* async action mutation returns only the UUID of the action
* unit tests for URL template parser
* Basic sync actions python tests
* fix output in async query & add async tests
* add admin secret header in async actions python test
* document async action architecture in Resolve/Action.hs file
* support actions returning array of objects
* tests for list type response actions
* update docs with actions and custom types metadata API reference
* update actions python tests as per #f8e1330
Co-authored-by: Tirumarai Selvan <tirumarai.selvan@gmail.com>
Co-authored-by: Aravind Shankar <face11301@gmail.com>
Co-authored-by: Rakesh Emmadi <12475069+rakeshkky@users.noreply.github.com>
* run basic tests after upgrade
* terminate before specifying file in pytest cmd
* Move fixture definitions out of test classes
Previously we had abstract classes with the fixtures defined
in them. The test classes then inherits these super classes. This
is creating inheritence problems, especially when you want to just
inherit the tests in class, but not the fixtures. We have now moved
all those fixture definitions outside of the class (in conftest.py).
These fixtures are now used by the test classes when and where they
are required.
* Run pytests on server upgrade
Server upgrade tests are run by
1) Run pytest with schema/metadata setup but do not do schema/metadata
teardown
2) Upgrade the server
3) Run pytest using the above schema and teardown at the end of the
tests
4) Cleanup hasura metadata and start again with next set of tests
We have added options --skip-schema-setup and --skip-schema-teardown to
help running server upgrade tests.
While running the tests, we noticed that error codes and messages for
some of the tests have changed. So we have added another option to
pytest `--avoid-error-message-checks`. If this flag is set, and if
comparing expected and response message fails, and if the expected
response has an error message, Pytest will throw warnings instead of an
error.
* Use marks to specify server-upgrade tests
Not all tests can be run as serve upgrade tests, particularly those
which themselves change the schema. We introduce two pytest markers.
Marker allow_server_upgrade_test will add the test into the list of
server upgrade tests that can be run. skip_server_upgrade_test
removes it from the list.
With this we have added tests for queries, mutations, and selected
event trigger and remote schema tests to the list of server upgrade
tests.
* Remove components not needed anymore
* Install curl
* Fix error in query validation
* Fix error in test_v1_queries.py
* install procps for server upgrade tests
* Use postgres image which has postgis installed
* set pager off with psql
* quote the bash variable WORKTREE_DIR
Co-authored-by: nizar-m <19857260+nizar-m@users.noreply.github.com>
Co-authored-by: Vamshi Surabhi <0x777@users.noreply.github.com>
* Add check expresion to update permissions (close#384)
* wip on conflict behavior
* Handle upserts for views properly
* Use insert check if there is no update check
* Fix the test
* Improve error message slightly
Co-authored-by: Vamshi Surabhi <0x777@users.noreply.github.com>
* fix nested insert with returning computed fields gives error, fix#3609
* revert using ordered hashmaps, sort columns based on ordinal postion
* fix 1. keys order 2. json/jsonb column value in nested insert returning
* add a note for sorted columns
* cast 'VALUES' expression as table row type
* use single CTE expression for generating returning for nested inserts
We add a new pytest flag `--accept` that will automatically write back
yaml files with updated responses. This makes it much easier and less
error-prone to update test cases when we expect output to change, or
when authoring new tests.
Second we make sure to test that we actually preserve the order of the
selection set when returning results. This is a "SHOULD" part of the
spec but seems pretty important and something that users will rely on.
To support both of the above we use ruamel.yaml which preserves a
certain amount of formatting and comments (so that --accept can work in
a failry ergonomic way), as well as ordering (so that when we write yaml
the order of keys has meaning that's preserved during parsing).
Use ruamel.yaml everywhere for consistency (since both libraries have
different quirks).
Quirks of ruamel.yaml:
- trailing whitespace in multiline strings in yaml files isn't written
back out as we'd like: https://bitbucket.org/ruamel/yaml/issues/47/multiline-strings-being-changed-if-they
- formatting is only sort of preserved; ruamel e.g. normalizes
indentation. Normally the diff is pretty clean though, and you can
always just check in portions of your test file after --accept
fixup
* allow customizing GraphQL root field names, close#981
* document v2 track_table API in reference
* support customising column field names in GraphQL schema
* [docs] add custom column fields doc in API reference
* add tests
* rename 'ColField' to 'ColumnField'
* embed column's graphql field in 'PGColumnInfo'
-> Value constructor of 'PGCol' is not exposed
-> Using 'parseJSON' to construct 'PGCol' in 'FromJSON' instances
* avoid using 'Maybe TableConfig'
* refactors & 'custom_column_fields' -> 'custom_column_names'
* cli-test: add configuration field in metadata export test
* update expected keys in `FromJSON` instance of `TableMeta`
* use `buildSchemaCacheFor` to update configuration in v2 track_table
* remove 'GraphQLName' type and use 'isValidName' exposed from parser lib
* point graphql-parser-hs library git repo to hasura
* support 'set_table_custom_fields' query API & added docs and tests
These changes also add a new type, PGColumnType, between PGColInfo and
PGScalarType, and they process PGRawColumnType values into PGColumnType
values during schema cache generation.
Changes compared to `/v1alpha1/graphql`
* Changed all graphql responses in **/v1/graphql** endpoint to be 200. All graphql clients expect responses to be HTTP 200. Non-200 responses are considered transport layer errors.
* Errors in http and websocket layer are now consistent and have similar structure.
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.
From `alpha-40` we've been using a `WHERE` clause to fetch required rows and generate mutation response. This has a few limitations like the requirement of a primary key/unique constraint. This also returns inconsistent data on `delete` mutation as mentioned in #1794.
Now, we're using `VALUES (..)` (refer [here](https://www.postgresql.org/docs/current/sql-values.html)) expression to form virtual table rows in `SQL` to generate mutation response.
Internal changes:-
- Not to use primary key/unique constraint columns:-
- Revert back to `ConstraintName` from `TableConstraint` in `TableInfo` type
- Remove `tcCols` field in `TableConstraint` type
- Modify `table_info.sql` and `fetchTableMeta` function `SQL`
- A test case to perform `delete` mutation and returning relational objects.
If returning field contains nested selections then mutation is performed in two steps
1. Mutation is performed with returning columns of any primary key and unique constraints
2. returning fields are queried on rows returned by selecting from table by filtering with column values returned in Step 1.
Since mutation takes two courses based on selecting relations in returning field, it is hard to maintain sequence of prepared arguments (PrepArg) generated while resolving returning field. So, we're using txtConverter instead of prepare to resolve mutation fields.
* 1) Tests for creating permissions
2) Test for constraint_on with GraphQL insert on_conflict
* Run tests with access key and webhook
* Tests for GraphQL query with quoted columns
* Rewrite test-server.sh so that it can be run locally
* JWT based tests
* Tests with various postgres types
* For tests on select queries, run setup only once per class
* Tests for v1 count queries
* Skip teardown for tests that does not modify data
* Workaround for hpc 'parse error when reading .tix file'
* Move GeoJson tests to the new structure
* Basic tests for v1 queries
* Tests for column, table or operator not found error cases on GraphQL queries
* Skip test teardown for mutation tests which does not change database state, even when it returns 200.
### Description
What component does this PR affect?
- [x] Server
### Related Issue
#494
### Solution and Design
Use `quote_ident()` SQL function over `constraint_name` in insert trigger function definition.
### Type
- [x] Bug fix (non-breaking change which fixes an issue)
