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Commits
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4e6f68c511 |
feat(relational): implement session repository (#11109)
# Which Problems Are Solved As part of going to a relation storage model, we need to implement the repository for handling sessions and their events. # How the Problems Are Solved - Adds a migration step to create the necessary tables and types in the database. - Adds the repository implementation for sessions. - Implements a projection handler for session events to handle the events written by the old command handlers. - Updates the `Session` type and `SessionRepository` interface: - added `CreatorID` - Adjusted `Delete` method to return amount of affected columns - Removed sub-repository clumns from the main interface - Added `CreatorIDCondition`, `ExpirationCondition`, `ExistsFactor` and `ExistsMetadata` - Removed `SetUserAgent` - Methods of `SessionFactor` and `SessionChallenge` have been made public - fixed enumer on `SessionFactorType` - Adds a `JSON` type to the repository package to easy can JSON columns, resp. jsonb object inside a property of a `JSONArray` object. - Adds a `NoChange` interface, which can be implemented to signal that a `Change` interface implementation is not writing any changes to the statement builder, e.g. `CTEChange` # Additional Changes - Fixes the operators enums. `TextOperations` had wrong comments and `NumberOperations` additionally also had from comparisons. - Fixes downgrade of migration step 008. # Additional Context - closes https://github.com/zitadel/zitadel/issues/10212 |
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f5ce288ea5 |
feat(domain): define user repositories (#11059)
This pull request introduces a new set of domain models and repositories for managing users within the new v3 structure. The goal is to establish a clean, robust, and extensible foundation for user management. ### Summary This PR accomplishes the following: - **Polymorphic User Model**: Introduces a `User` model in user.go that can represent either a `Human` or a `Machine` user. This provides a unified way to handle different user types while allowing for specific attributes and logic for each. - **Repository Pattern**: Implements the repository pattern for accessing and manipulating user data. This decouples the business logic from the data storage implementation. The main repository interfaces (`UserRepository`, `HumanUserRepository`, `MachineUserRepository`) are now defined in `backend/v3/domain/user_repository.go`. - **Comprehensive User Models**: The user.go file now also defines the domain models for associated user data, including `UserMetadata`, `IdentityProviderLink`, `Passkey`, `PersonalAccessToken`, and `MachineKey`. - **Generic Verification and Check System**: Introduces verification.go and check.go to provide a standardized way of handling various verification flows (e.g., email verification, OTP checks). - **Generated Code**: Adds new generated files for enums (`humangender_enumer.go`, `machinekeytype_enumer.go`, `passkeytype_enumer.go`, `personalaccesstokentype_enumer.go`, `userstate_enumer.go`, `usertype_enumer.go`) and mocks for the new repositories. - **Session Domain Refactoring**: Updates the session domain (`backend/v3/domain/session*.go`) to align with the new user model structure. This foundational work paves the way for migrating user management logic to the new `v3` backend, with a more maintainable and testable architecture. part of #10224 --------- Co-authored-by: Copilot <[email protected]> Co-authored-by: Marco A. <[email protected]> |
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f04d873270 |
feat(domain): Organization APIs with relational tables (#10704)
# Which Problems Are Solved This PR implements the endpoints listed in #10445 using relational tables. - [x] UpdateOrganization - [x] ListOrganizations - [x] DeleteOrganization - [x] DeactivateOrganization - [x] ActivateOrganization # How the Problems Are Solved - **UpdateOrganization:** Implemented logic for `Validate()`, `Execute()` and `Events()`. On CQRS side, updating an organization emits events related to the organization and its domains. Separate commanders have been made for the domain events so that their logic is run accordingly and we keep separation of concerns. Implementation of the domains is left to its own ticket. Because some domain-related data is changed during the organization update, its original values are saved as pointers inside [UpdateOrgCommand](https://github.com/zitadel/zitadel/blob/4f87cd8d0cfd75f290aa13c342e4939cecebef73/backend/v3/domain/org_update.go#L20). These variables will be then used as input for the domain commanders (that will run after the update organization one). - **ListOrganizations:** Implemented logic for `Validate()`, `Execute()`. Utility methods have been made to parse the input queries. This commander is used both by the v2 and v2beta endpoint, so a translation layer has been put in place to translate all v2beta requests into v2. The commander strictly handles v2 request only. The translation layer between v2beta and v2 APIs was made so to make it simple to remove it once the v2beta APIs will be removed (a simple deletion should suffice). A `converter` package [is shipped](https://github.com/zitadel/zitadel/blob/4f87cd8d0cfd75f290aa13c342e4939cecebef73/backend/v3/api/org/v2/convert/README.md#L5) as well with instruction for removal. TODOs have been put in place all over the code to indicate that the related piece of code needs to be removed once v2beta -> v2 transition is complete. - **DeleteOrganization:** Implemented logic for `Validate()`, `Execute()` and `Events()`. The `Events()` method is mostly incomplete as it requires a lot of data that is currently not retrievable due to the lack of their relational tables. - **DeactivateOrganization** and **ActivateOrganization**: Implemented logic for `Validate()`, `Execute()` and `Events()`. No notable remarks. 👉 All endpoints return matching errors to the CQRS counterpart: this way allows re-using the integration tests and 👉 All endpoints have been unit-tested through DB mocking 👉 A bunch of TODOs have been put in place for future reworks that are needed (e.g. `Update()` method on repository should also return a timestamp) # Additional Changes - A test utility method to allow mocking query options have been made. This was necessary because `database.QueryOption` is a function and the only comparison possible with functions is `nil` check. So, to mock this, `database.QueryOption` is converted first to `database.QueryOpts`. See 2276742adaef1998ea4844e1f0dca2079e45ccfb - A `BaseCommand` has been created with the idea to collect methods that are going to be needed by other commands. For the moment, it only offers a method to convert query text operations from gRPC to `domain` model. See bb85456dd101282fa76d2e2ad165eed4c8ef61b9 - SQL operations have been reworked to allow for queries using `ContainsIgnoreCase`, `EndsWithIgnoreCase` and other `IgnoreCase` operations. This change is pending approval and might be reworked. See https://github.com/zitadel/zitadel/pull/10704#discussion_r2392886177 # Additional Context `UpdateOrganization` is partially working because the logic for handling domain updates is not done (there is only a draft of the commanders to showcase the call chain). See https://github.com/zitadel/zitadel/pull/10704#discussion_r2356143178 Permissions are not implemented as they are missing. See https://github.com/zitadel/zitadel/pull/10771 - Closes: #10445 --------- Co-authored-by: Silvan <[email protected]> |
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cccfc816f6 |
refactor: database interaction and error handling (#10762)
This pull request introduces a significant refactoring of the database interaction layer, focusing on improving explicitness, transactional control, and error handling. The core change is the removal of the stateful `QueryExecutor` from repository instances. Instead, it is now passed as an argument to each method that interacts with the database. This change makes transaction management more explicit and flexible, as the same repository instance can be used with a database pool or a specific transaction without needing to be re-instantiated. ### Key Changes - **Explicit `QueryExecutor` Passing:** - All repository methods (`Get`, `List`, `Create`, `Update`, `Delete`, etc.) in `InstanceRepository`, `OrganizationRepository`, `UserRepository`, and their sub-repositories now require a `database.QueryExecutor` (e.g., a `*pgxpool.Pool` or `pgx.Tx`) as the first argument. - Repository constructors no longer accept a `QueryExecutor`. For example, `repository.InstanceRepository(pool)` is now `repository.InstanceRepository()`. - **Enhanced Error Handling:** - A new `database.MissingConditionError` is introduced to enforce required query conditions, such as ensuring an `instance_id` is always present in `UPDATE` and `DELETE` operations. - The database error wrapper in the `postgres` package now correctly identifies and wraps `pgx.ErrTooManyRows` and similar errors from the `scany` library into a `database.MultipleRowsFoundError`. - **Improved Database Conditions:** - The `database.Condition` interface now includes a `ContainsColumn(Column) bool` method. This allows for runtime checks to ensure that critical filters (like `instance_id`) are included in a query, preventing accidental cross-tenant data modification. - A new `database.Exists()` condition has been added to support `EXISTS` subqueries, enabling more complex filtering logic, such as finding an organization that has a specific domain. - **Repository and Interface Refactoring:** - The method for loading related entities (e.g., domains for an organization) has been changed from a boolean flag (`Domains(true)`) to a more explicit, chainable method (`LoadDomains()`). This returns a new repository instance configured to load the sub-resource, promoting immutability. - The custom `OrgIdentifierCondition` has been removed in favor of using the standard `database.Condition` interface, simplifying the API. - **Code Cleanup and Test Updates:** - Unnecessary struct embeddings and metadata have been removed. - All integration and repository tests have been updated to reflect the new method signatures, passing the database pool or transaction object explicitly. - New tests have been added to cover the new `ExistsDomain` functionality and other enhancements. These changes make the data access layer more robust, predictable, and easier to work with, especially in the context of database transactions. |