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Author SHA1 Message Date
9ab3689808 version: 1.0.128 2026-04-21 10:51:08 -04:00
bff0884ad2 version: 1.0.127 2026-04-21 10:50:13 -04:00
4e2cb488cc removed schema realms, fixed fixture generations, added dynamic type resolution for validation based on type and kind discriminators for filters 2026-04-21 10:50:01 -04:00
a1e6ac8cb0 doc update 2026-04-20 09:56:46 -04:00
120f488d93 cleanup 2026-04-17 18:27:49 -04:00
3928174fe7 version: 1.0.126 2026-04-17 18:25:24 -04:00
f450f8ab8b added realm to jspg processing 2026-04-17 18:25:14 -04:00
8ebf6a69bf updates 2026-04-17 17:20:07 -04:00
3a4c53dc7d version: 1.0.125 2026-04-17 07:43:30 -04:00
69bd726b25 more filter fixes 2026-04-17 07:43:19 -04:00
c2267b68d8 version: 1.0.124 2026-04-17 05:53:54 -04:00
f58d1a32a3 full database extracton 2026-04-17 05:53:44 -04:00
d9f4a90225 version: 1.0.123 2026-04-17 02:24:09 -04:00
509194b55f in, nin to of, nof for go and dart generator compatibility 2026-04-17 02:24:03 -04:00
87a845e85a filters are now entities and auto-generated for all table backed types 2026-04-17 01:46:02 -04:00
8175b10a97 filter checkpoint 2026-04-17 00:38:54 -04:00
0b072d66e7 version: 1.0.122 2026-04-16 11:54:43 -04:00
41649766db to family 2026-04-16 11:54:37 -04:00
61a8c5eed7 version: 1.0.121 2026-04-16 11:00:32 -04:00
77af67aef5 beefed up schema compiled properties with cases properties and added tests with cases to queryer and merger 2026-04-16 11:00:26 -04:00
cd85a8a2c3 version: 1.0.120 2026-04-16 00:19:24 -04:00
d3cb72a5e2 -m fixed bug with STI and different type shapes that don't require kind discrimination 2026-04-16 00:19:10 -04:00
57baa389b6 version: 1.0.119 2026-04-15 03:09:43 -04:00
8ceb4f05a2 version: 1.0.118 2026-04-15 03:08:26 -04:00
a3bd79deef jspg stabilized again 2026-04-15 03:08:11 -04:00
c38d81efa4 version: 1.0.117 2026-04-14 13:38:24 -04:00
3e7fafd736 version: 1.0.116 2026-04-14 13:23:08 -04:00
8984acaa5f added jsonb field tests to queryer and merger and fixed a bug there 2026-04-14 13:23:01 -04:00
24adf3ffc6 checkpoint 2026-04-14 13:06:53 -04:00
bfe3dd2e8c version: 1.0.115 2026-04-14 09:36:12 -04:00
609371c03c fixed drop errors for database initialization 2026-04-14 09:36:04 -04:00
93d1315f0b version: 1.0.114 2026-04-14 06:09:30 -04:00
e407adf6a1 version: 1.0.113 2026-04-14 06:09:14 -04:00
0b4607b7d4 fixed and tested subschema promotions for beat processing 2026-04-14 06:09:00 -04:00
a53e89df52 version: 1.0.112 2026-04-13 22:48:27 -04:00
57bbe11013 version: 1.0.111 2026-04-13 22:48:12 -04:00
75 changed files with 8701 additions and 4869 deletions

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@ -13,7 +13,7 @@ JSPG operates by deeply integrating the JSON Schema Draft 2020-12 specification
1. **Draft 2020-12 Based**: Attempt to adhere to the official JSON Schema Draft 2020-12 specification, while heavily augmenting it for strict structural typing.
2. **Ultra-Fast Execution**: Compile schemas into optimized in-memory validation trees and cached SQL SPIs to bypass Postgres Query Builder overheads.
3. **Connection-Bound Caching**: Leverage the PostgreSQL session lifecycle using an **Atomic Swap** pattern. Schemas are 100% frozen, completely eliminating locks during read access.
4. **Structural Inheritance**: Support object-oriented schema design via Implicit Keyword Shadowing and virtual `$family` references natively mapped to Postgres table constraints.
4. **Structural Inheritance**: Support object-oriented schema design via Implicit Keyword Shadowing and virtual `family` references natively mapped to Postgres table constraints.
5. **Reactive Beats**: Provide ultra-fast natively generated flat payloads mapping directly to the Dart topological state for dynamic websocket reactivity.
### Concurrency & Threading ("Immutable Graphs")
@ -28,7 +28,7 @@ These functions operate on the global `GLOBAL_JSPG` engine instance and provide
* `jspg_setup(database jsonb) -> jsonb`: Initializes the engine. Deserializes the full database schema registry (types, enums, puncs, relations) from Postgres and compiles them into memory atomically.
* `jspg_teardown() -> jsonb`: Clears the current session's engine instance from `GLOBAL_JSPG`, resetting the cache.
* `jspg_schemas() -> jsonb`: Exports the fully compiled AST snapshot (including all inherited dependencies) out of `GLOBAL_JSPG` into standard JSON Schema representations.
* `jspg_database() -> jsonb`: Exports the fully compiled snapshot of the database registry (including Types, Puncs, Enums, and Relations) out of `GLOBAL_JSPG` into standard JSON Schema representations.
---
@ -36,6 +36,17 @@ These functions operate on the global `GLOBAL_JSPG` engine instance and provide
JSPG augments standard JSON Schema 2020-12 to provide an opinionated, strict, and highly ergonomic Object-Oriented paradigm. Developers defining Punc Data Models should follow these conventions.
### Realms (Topological Boundaries)
JSPG strictly organizes schemas into three distinct topological boundaries called **Realms** to prevent cross-contamination and ensure secure API generation:
* **Type Realm (`database.types`)**: Represents physical Postgres tables or structural JSONB bubbles. Table-backed entities here are strictly evaluated for their `type` or `kind` discriminators if they possess polymorphic variations.
* **Punc Realm (`database.puncs`)**: Represents API endpoint Contracts (functions). Contains strictly `.request` and `.response` shapes. These cannot be inherited by standard data models.
* **Enum Realm (`database.enums`)**: Represents simple restricted value lists. Handled universally across all lookups.
The core execution engines natively enforce these boundaries:
* **Validator**: Routes dynamically using a single schema key, transparently switching domains to validate Punc requests/responses from the `Punc` realm, or raw instance payloads from the `Type` realm.
* **Merger**: Strictly bounded to the `Type` Realm. It is philosophically impossible and mathematically illegal to attempt to UPSERT an API endpoint.
* **Queryer**: Routes recursively. Safely evaluates API boundary inputs directly from the `Punc` realm, while tracing underlying table targets back through the `Type` realm to physically compile SQL `SELECT` statements.
### Types of Types
* **Table-Backed (Entity Types)**: Primarily defined in root `types` schemas. These represent physical Postgres tables.
* They are implicitly registered in the Global Registry using their precise key name mapped from the database compilation phase.
@ -45,18 +56,20 @@ JSPG augments standard JSON Schema 2020-12 to provide an opinionated, strict, an
* **Global Schema Registration**: Roots must be attached to the top-level keys mapped from the `types`, `enums`, or `puncs` database tables.
* They can re-use the standard `type` discriminator locally for `oneOf` polymorphism without conflicting with global Postgres Table constraints.
### Discriminators & The Dot Convention (A.B)
In Punc, polymorphic targets like explicit tagged unions or STI (Single Table Inheritance) rely on discriminators. Because Punc favors universal consistency, a schema's data contract must be explicit and mathematically identical regardless of the routing context an endpoint consumes it through.
### Discriminators & The `<Variant>.<Base>` Convention
In Punc, polymorphic targets like explicit tagged unions or STI (Single Table Inheritance) rely on discriminators. The system heavily leverages a standard `<Variant>.<Base>` dot-notation to enforce topological boundaries deterministically.
**The 2-Tier Paradigm**: The system inherently prevents "God Tables" by restricting routing to exactly two dimensions, guaranteeing absolute $O(1)$ lookups without ambiguity:
1. **Vertical Routing (`type`)**: Identifies the specific Postgres Table lineage (e.g. `person` vs `organization`).
2. **Horizontal Routing (`kind.type`)**: Natively evaluates Single Table Inheritance. The runtime dynamically concatenates `$kind.$type` to yield the namespace-protected schema key (e.g. `light.person`), maintaining collision-free schema registration.
**The 2-Tier Paradigm**: The system prevents "God Tables" by restricting routing to exactly two dimensions, guaranteeing absolute $O(1)$ lookups without ambiguity:
1. **Base (Vertical Routing)**: Represents the core physical lineage or foundational structural boundary. For entities, this is the table `type` (e.g. `person` or `widget`). For composed schemas, this is the root structural archetype (e.g., `filter`).
2. **Variant (Horizontal Routing)**: Represents the specific contextual projection or runtime mutation applied to the Base. For STI entities, this is the `kind` (e.g., `light`, `heavy`, `stock`). For composed filters, the variant identifies the entity it targets (e.g., `person`, `invoice`).
When an object is evaluated for STI polymorphism, the runtime natively extracts its `$kind` and `$type` values, dynamically concatenating them as `<Variant>.<Base>` (e.g. `light.person` or `stock.widget`) to yield the namespace-protected schema key.
Therefore, any schema that participates in polymorphic discrimination MUST explicitly define its discriminator properties natively inside its `properties` block. However, to stay DRY and maintain flexible APIs, you **DO NOT** need to hardcode `const` values, nor should you add them to your `required` array. The Punc engine treats `type` and `kind` as **magic properties**.
**Magic Validation Constraints**:
* **Dynamically Required**: The system inherently drives the need for their requirement. The Validator dynamically expects the discriminators and structurally bubbles `MISSING_TYPE` ultimata ONLY when a polymorphic router (`$family` / `oneOf`) dynamically requires them to resolve a path. You never manually put them in the JSON schema `required` block.
* **Implicit Resolution**: When wrapped in `$family` or `oneOf`, the polymorphic router can mathematically parse the schema key (e.g. `light.person`) and natively validate that `type` equals `"person"` and `kind` equals `"light"`, bubbling `CONST_VIOLATED` if they mismatch, all without you ever hardcoding `const` limitations.
* **Dynamically Required**: The system inherently drives the need for their requirement. The Validator dynamically expects the discriminators and structurally bubbles `MISSING_TYPE` ultimata ONLY when a polymorphic router (`family` / `oneOf`) dynamically requires them to resolve a path. You never manually put them in the JSON schema `required` block.
* **Implicit Resolution**: When wrapped in `family` or `oneOf`, the polymorphic router can mathematically parse the schema key (e.g. `light.person`) and natively validate that `type` equals `"person"` and `kind` equals `"light"`, bubbling `CONST_VIOLATED` if they mismatch, all without you ever hardcoding `const` limitations.
* **Generator Explicitness**: Because Postgres is the Single Source of Truth, forcing the explicit definition in `properties` initially guarantees the downstream Dart/Go code generators observe the fields and can cleanly serialize them dynamically back to the server.
For example, a schema registered under the exact key `"light.person"` inside the database registry must natively define its own structural boundaries:
@ -72,7 +85,7 @@ For example, a schema registered under the exact key `"light.person"` inside the
* **The Object Contract (Presence)**: The Object enforces its own structural integrity mechanically. Standard JSON Validation natively ensures `type` and `kind` are dynamically present as expected.
* **The Dynamic Values (`db.types`)**: Because the `type` and `kind` properties technically exist, the Punc engine dynamically intercepts them during `validate_object`. It mathematically parses the schema key (e.g. `light.person`) and natively validates that `type` equals `"person"` (or a valid descendant in `db.types`) and `kind` equals `"light"`, bubbling `CONST_VIOLATED` if they mismatch.
* **The Routing Contract**: When wrapped in `$family` or `oneOf`, the polymorphic router can execute Lightning Fast $O(1)$ fast-paths by reading the payload's `type`/`kind` identifiers, and gracefully fallback to standard structural failure if omitted.
* **The Routing Contract**: When wrapped in `family` or `oneOf`, the polymorphic router can execute Lightning Fast $O(1)$ fast-paths by reading the payload's `type`/`kind` identifiers, and gracefully fallback to standard structural failure if omitted.
### Composition & Inheritance (The `type` keyword)
Punc completely abandons the standard JSON Schema `$ref` keyword. Instead, it overloads the exact same `type` keyword used for primitives. A `"type"` in Punc is mathematically evaluated as either a Native Primitive (`"string"`, `"null"`) or a Custom Object Pointer (`"budget"`, `"user"`).
@ -80,25 +93,26 @@ Punc completely abandons the standard JSON Schema `$ref` keyword. Instead, it ov
* **Implicit Keyword Shadowing**: Unlike standard JSON Schema inheritance, local property definitions natively override and shadow inherited properties.
* **Primitive Array Shorthand (Optionality)**: The `type` array syntax is heavily optimized for nullable fields. Defining `"type": ["budget", "null"]` natively builds a nullable strict, generating `Budget? budget;` in Dart. You can freely mix primitives like `["string", "number", "null"]`.
* **Strict Array Constraint**: To explicitly prevent mathematically ambiguous Multiple Inheritance, a `type` array is strictly constrained to at most **ONE** Custom Object Pointer. Defining `"type": ["person", "organization"]` will intentionally trigger a fatal database compilation error natively instructing developers to build a proper tagged union (`oneOf`) instead.
* **Dynamic Type Bindings (`"$sibling.[suffix]"`)**: If a `type` string begins with a `$` (e.g., `"type": "$kind.filter"`), the JSPG engine treats it as a Dynamic Pointer. During compile time, it safely defers boundary checks. During runtime validation, the engine dynamically reads the literal string value of the referenced sibling property (`kind`) on the *current parent JSON object*, evaluates the substitution (e.g., `"person.filter"`), and instantly routes execution to that schema in $O(1)$ time. This enables incredibly powerful dynamic JSONB shapes (like a generic `filter` column inside a `search` table) without forcing downstream code generators to build unmaintainable unions.
### Polymorphism (`$family` and `oneOf`)
### Polymorphism (`family` and `oneOf`)
Polymorphism is how an object boundary can dynamically take on entirely different shapes based on the payload provided at runtime. Punc utilizes the static database metadata generated from Postgres (`db.types`) to enforce these boundaries deterministically, rather than relying on ambiguous tree-traversals.
* **`$family` (Target-Based Polymorphism)**: An explicit Punc compiler macro instructing the engine to resolve dynamic options against the registered database `types` variations or its inner schema registry. It uses the exact physical constraints of the database to build SQL and validation routes.
* **`family` (Target-Based Polymorphism)**: An explicit Punc compiler macro instructing the engine to resolve dynamic options against the registered database `types` variations or its inner schema registry. It uses the exact physical constraints of the database to build SQL and validation routes.
* **Scenario A: Global Tables (Vertical Routing)**
* *Setup*: `{ "$family": "organization" }`
* *Execution*: The engine queries `db.types.get("organization").variations` and finds `["bot", "organization", "person"]`. Because organizations are structurally table-backed, the `$family` automatically uses `type` as the discriminator.
* *Setup*: `{ "family": "organization" }`
* *Execution*: The engine queries `db.types.get("organization").variations` and finds `["bot", "organization", "person"]`. Because organizations are structurally table-backed, the `family` automatically uses `type` as the discriminator.
* *Options*: `bot` -> `bot`, `person` -> `person`, `organization` -> `organization`.
* **Scenario B: Prefixed Tables (Vertical Projection)**
* *Setup*: `{ "$family": "light.organization" }`
* *Setup*: `{ "family": "light.organization" }`
* *Execution*: The engine sees the prefix `light.` and base `organization`. It queries `db.types.get("organization").variations` and dynamically prepends the prefix to discover the relevant UI schemas.
* *Options*: `person` -> `light.person`, `organization` -> `light.organization`. (If a projection like `light.bot` does not exist in `db.schemas`, it is safely ignored).
* *Options*: `person` -> `light.person`, `organization` -> `light.organization`. (If a projection like `light.bot` does not exist in the Type Registry, it is safely ignored).
* **Scenario C: Single Table Inheritance (Horizontal Routing)**
* *Setup*: `{ "$family": "widget" }` (Where `widget` is a table type but has no external variations).
* *Execution*: The engine queries `db.types.get("widget").variations` and finds only `["widget"]`. Since it lacks table inheritance, it is treated as STI. The engine scans the specific, confined `schemas` array directly under `db.types.get("widget")` for any registered key terminating in the base `.widget` (e.g., `stock.widget`). The `$family` automatically uses `kind` as the discriminator.
* *Setup*: `{ "family": "widget" }` (Where `widget` is a table type but has no external variations).
* *Execution*: The engine queries `db.types.get("widget").variations` and finds only `["widget"]`. Since it lacks table inheritance, it is treated as STI. The engine scans the specific, confined `schemas` array directly under `db.types.get("widget")` for any registered key terminating in the base `.widget` (e.g., `stock.widget`). The `family` automatically uses `kind` as the discriminator.
* *Options*: `stock` -> `stock.widget`, `tasks` -> `tasks.widget`.
* **`oneOf` (Strict Tagged Unions)**: A hardcoded list of candidate schemas. Unlike `$family` which relies on global DB metadata, `oneOf` forces pure mathematical structural evaluation of the provided candidates. It strictly bans typical JSON Schema "Union of Sets" fallback searches. Every candidate MUST possess a mathematically unique discriminator payload to allow $O(1)$ routing.
* **`oneOf` (Strict Tagged Unions)**: A hardcoded list of candidate schemas. Unlike `family` which relies on global DB metadata, `oneOf` forces pure mathematical structural evaluation of the provided candidates. It strictly bans typical JSON Schema "Union of Sets" fallback searches. Every candidate MUST possess a mathematically unique discriminator payload to allow $O(1)$ routing.
* **Disjoint Types**: `oneOf: [{ "type": "person" }, { "type": "widget" }]`. The engine succeeds because the native `type` acts as a unique discriminator (`"person"` vs `"widget"`).
* **STI Types**: `oneOf: [{ "type": "heavy.person" }, { "type": "light.person" }]`. The engine succeeds. Even though both share `"type": "person"`, their explicit discriminator is `kind` (`"heavy"` vs `"light"`), ensuring unique $O(1)$ fast-paths.
* **Conflicting Types**: `oneOf: [{ "type": "person" }, { "type": "light.person" }]`. The engine **fails compilation natively**. Both schemas evaluate to `"type": "person"` and neither provides a disjoint `kind` constraint, making them mathematically ambiguous and impossible to route in $O(1)$ time.
@ -171,7 +185,7 @@ When compiling nested object graphs or arrays, the JSPG engine must dynamically
### Subschema Promotion
To seamlessly support deeply nested Object and Array structures, JSPG aggressively promotes them to standalone topological entities during the database compilation phase.
* **Path Generation:** While evaluating a unified graph originating from a base `types`, `enums`, or `puncs` key, the compiler tracks its exact path descent into nested objects and arrays. It dynamically calculates a localized alias string by appending a `/` pathing syntax (e.g., `base_schema_key/nested/path`) representing exactly its structural constraints.
* **Promotion:** This nested subschema chunk is mathematically elevated to its own independent key in the `db.schemas` cache registry using its full path. This guarantees that $O(1)$ WebSockets or isolated queries can natively target any arbitrary nested sub-object of a massive database topology directly without recursively re-parsing its parent's AST block every read. Note that you cannot use the `type` attribute to statically inherit from these automatically promoted subschemas.
* **Promotion:** This nested subschema chunk is mathematically elevated to an independent subschema entry natively within its parent's internal scope (e.g. inside `db.types.get("base").schemas`) using its full path. This guarantees that $O(1)$ WebSockets or isolated queries can natively target any arbitrary nested sub-object of a massive database topology directly without recursively re-parsing its parent's AST block every read. Note that you cannot use the `type` attribute to statically inherit from these automatically promoted subschemas.
* **Primitive Confinement:** Purely scalar or primitive branches (like `oneOf: [{type: "string"}, {type: "null"}]`) bypass global topological promotion. They are evaluated directly within the execution engine via isolated Tuple Indexes to explicitly protect the global DB Registry and Go Mixer from memory bloat.
---
@ -187,10 +201,10 @@ The Validator provides strict, schema-driven evaluation for the "Punc" architect
JSPG implements specific extensions to the Draft 2020-12 standard to support the Punc architecture's object-oriented needs while heavily optimizing for zero-runtime lookups.
* **Caching Strategy**: The Validator caches the pre-compiled `Database` registry in memory upon initialization (`jspg_setup`). This registry holds the comprehensive graph of schema boundaries, Types, ENUMs, and Foreign Key relationships, acting as the Single Source of Truth for all validation operations without polling Postgres.
* **Discriminator Fast Paths & Extraction**: When executing a polymorphic node (`oneOf` or `$family`), the engine statically analyzes the incoming JSON payload for the literal `type` and `kind` string coordinates. It routes the evaluation specifically to matching candidates in $O(1)$ while returning `MISSING_TYPE` ultimata directly.
* **Discriminator Fast Paths & Extraction**: When executing a polymorphic node (`oneOf` or `family`), the engine statically analyzes the incoming JSON payload for the literal `type` and `kind` string coordinates. It routes the evaluation specifically to matching candidates in $O(1)$ while returning `MISSING_TYPE` ultimata directly.
* **Missing Type Ultimatum**: If an entity logically requires a discriminator and the JSON payload omits it, JSPG short-circuits branch execution entirely, bubbling a single, perfectly-pathed `MISSING_TYPE` error back to the UI natively to prevent confusing cascading failures.
* **Golden Match Context**: When exactly one structural candidate perfectly maps a discriminator, the Validator exclusively cascades that specific structural error context directly to the user, stripping away all noise generated by other parallel schemas.
* **Topological Array Pathing**: Instead of relying on explicit `$id` references or injected properties, array iteration paths are dynamically typed based on their compiler boundary constraints. If the array's `items` schema resolves to a topological table-backed entity (e.g., inheriting via a `$family` macro tracked in the global DB catalog), the array locks paths and derives element indexes from their actual UUID paths (`array/widget-1/name`), natively enforcing database continuity. If evaluating isolated ad-hoc JSONB elements, strict numeric indexing is enforced natively (`array/1/name`) preventing synthetic payload manipulation.
* **Topological Array Pathing**: Instead of relying on explicit `$id` references or injected properties, array iteration paths are dynamically typed based on their compiler boundary constraints. If the array's `items` schema resolves to a topological table-backed entity (e.g., inheriting via a `family` macro tracked in the global DB catalog), the array locks paths and derives element indexes from their actual UUID paths (`array/widget-1/name`), natively enforcing database continuity. If evaluating isolated ad-hoc JSONB elements, strict numeric indexing is enforced natively (`array/1/name`) preventing synthetic payload manipulation.
---
@ -234,11 +248,11 @@ The Queryer transforms Postgres into a pre-compiled Semantic Query Engine, desig
* **Dynamic Filtering**: Binds parameters natively through `cue.filters` objects. The queryer enforces a strict, structured, MongoDB-style operator syntax to map incoming JSON request constraints directly to their originating structural table columns. Filters support both flat path notation (e.g., `"contacts/is_primary": {...}`) and deeply nested recursive JSON structures (e.g., `{"contacts": {"is_primary": {...}}}`). The queryer recursively traverses and flattens these structures at AST compilation time.
* **Equality / Inequality**: `{"$eq": value}`, `{"$ne": value}` automatically map to `=` and `!=`.
* **Comparison**: `{"$gt": ...}`, `{"$gte": ...}`, `{"$lt": ...}`, `{"$lte": ...}` directly compile to Postgres comparison operators (`> `, `>=`, `<`, `<=`).
* **Array Inclusion**: `{"$in": [values]}`, `{"$nin": [values]}` use native `jsonb_array_elements_text()` bindings to enforce `IN` and `NOT IN` logic without runtime SQL injection risks.
* **Array Inclusion**: `{"$of": [values]}`, `{"$nof": [values]}` use native `jsonb_array_elements_text()` bindings to enforce `IN` and `NOT IN` logic without runtime SQL injection risks.
* **Text Matching (ILIKE)**: Evaluates `$eq` or `$ne` against string fields containing the `%` character natively into Postgres `ILIKE` and `NOT ILIKE` partial substring matches.
* **Type Casting**: Safely resolves dynamic combinations by casting values instantly into the physical database types mapped in the schema (e.g. parsing `uuid` bindings to `::uuid`, formatting DateTimes to `::timestamptz`, and numbers to `::numeric`).
* **Polymorphic SQL Generation (`$family`)**: Compiles `$family` properties by analyzing the **Physical Database Variations**, *not* the schema descendants.
* **The Dot Convention**: When a schema requests `$family: "target.schema"`, the compiler extracts the base type (e.g. `schema`) and looks up its Physical Table definition.
* **Polymorphic SQL Generation (`family`)**: Compiles `family` properties by analyzing the **Physical Database Variations**, *not* the schema descendants.
* **The Dot Convention**: When a schema requests `family: "target.schema"`, the compiler extracts the base type (e.g. `schema`) and looks up its Physical Table definition.
* **Multi-Table Branching**: If the Physical Table is a parent to other tables (e.g. `organization` has variations `["organization", "bot", "person"]`), the compiler generates a dynamic `CASE WHEN type = '...' THEN ...` query, expanding into sub-queries for each variation. To ensure safe resolution, the compiler dynamically evaluates correlation boundaries: it attempts standard Relational Edge discovery first. If no explicit relational edge exists (indicating pure Table Inheritance rather than a standard foreign-key graph relationship), it safely invokes a **Table Parity Fallback**. This generates an explicit ID correlation constraint (`AND inner.id = outer.id`), perfectly binding the structural variations back to the parent row to eliminate Cartesian products.
* **Single-Table Bypass**: If the Physical Table is a leaf node with only one variation (e.g. `person` has variations `["person"]`), the compiler cleanly bypasses `CASE` generation and compiles a simple `SELECT` across the base table, as all schema extensions (e.g. `light.person`, `full.person`) are guaranteed to reside in the exact same physical row.

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@ -2,21 +2,26 @@
{
"description": "additionalProperties validates properties not matched by properties",
"database": {
"schemas": {
"schema1": {
"properties": {
"foo": {
"type": "string"
},
"bar": {
"type": "number"
"types": [
{
"name": "schema1",
"schemas": {
"schema1": {
"properties": {
"foo": {
"type": "string"
},
"bar": {
"type": "number"
}
},
"additionalProperties": {
"type": "boolean"
}
}
},
"additionalProperties": {
"type": "boolean"
}
}
}
]
},
"tests": [
{
@ -61,19 +66,24 @@
{
"description": "extensible: true with additionalProperties still validates structure",
"database": {
"schemas": {
"additionalProperties_1_0": {
"properties": {
"foo": {
"type": "string"
"types": [
{
"name": "additionalProperties_1_0",
"schemas": {
"additionalProperties_1_0": {
"properties": {
"foo": {
"type": "string"
}
},
"extensible": true,
"additionalProperties": {
"type": "integer"
}
}
},
"extensible": true,
"additionalProperties": {
"type": "integer"
}
}
}
]
},
"tests": [
{
@ -106,21 +116,26 @@
{
"description": "complex additionalProperties with object and array items",
"database": {
"schemas": {
"schema3": {
"properties": {
"type": {
"type": "string"
}
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
"types": [
{
"name": "schema3",
"schemas": {
"schema3": {
"properties": {
"type": {
"type": "string"
}
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
}
}
}
}
]
},
"tests": [
{

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@ -2,9 +2,14 @@
{
"description": "boolean schema 'true'",
"database": {
"schemas": {
"booleanSchema_0_0": {}
}
"types": [
{
"name": "booleanSchema_0_0",
"schemas": {
"booleanSchema_0_0": {}
}
}
]
},
"tests": [
{
@ -97,11 +102,16 @@
{
"description": "boolean schema 'false'",
"database": {
"schemas": {
"booleanSchema_1_0": {
"not": {}
"types": [
{
"name": "booleanSchema_1_0",
"schemas": {
"booleanSchema_1_0": {
"not": {}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,218 +2,238 @@
{
"description": "Multi-Paradigm Declarative Cases",
"database": {
"schemas": {
"parallel_rules": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"kind": {
"type": "string"
}
},
"cases": [
{
"when": {
"properties": {
"status": {
"const": "unverified"
}
"types": [
{
"name": "parallel_rules",
"schemas": {
"parallel_rules": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"required": [
"status"
]
"kind": {
"type": "string"
}
},
"then": {
"properties": {
"amount_1": {
"type": "number"
"cases": [
{
"when": {
"properties": {
"status": {
"const": "unverified"
}
},
"required": [
"status"
]
},
"amount_2": {
"type": "number"
}
},
"required": [
"amount_1",
"amount_2"
]
}
},
{
"when": {
"properties": {
"kind": {
"const": "credit"
}
},
"required": [
"kind"
]
},
"then": {
"properties": {
"cvv": {
"type": "number"
}
},
"required": [
"cvv"
]
}
}
]
},
"mutually_exclusive": {
"type": "object",
"properties": {
"type": {
"type": "string"
}
},
"cases": [
{
"when": {
"properties": {
"type": {
"const": "A"
}
},
"required": [
"type"
]
},
"then": {
"properties": {
"field_a": {
"type": "number"
}
},
"required": [
"field_a"
]
}
},
{
"when": {
"properties": {
"type": {
"const": "B"
}
},
"required": [
"type"
]
},
"then": {
"properties": {
"field_b": {
"type": "number"
}
},
"required": [
"field_b"
]
},
"else": {
"properties": {
"fallback_b": {
"type": "number"
}
},
"required": [
"fallback_b"
]
}
}
]
},
"nested_fallbacks": {
"type": "object",
"properties": {
"tier": {
"type": "string"
}
},
"cases": [
{
"when": {
"properties": {
"tier": {
"const": "1"
}
},
"required": [
"tier"
]
},
"then": {
"properties": {
"basic": {
"type": "number"
}
},
"required": [
"basic"
]
},
"else": {
"cases": [
{
"when": {
"properties": {
"tier": {
"const": "2"
}
"then": {
"properties": {
"amount_1": {
"type": "number"
},
"required": [
"tier"
]
"amount_2": {
"type": "number"
}
},
"then": {
"properties": {
"standard": {
"type": "number"
}
},
"required": [
"standard"
]
},
"else": {
"properties": {
"premium": {
"type": "number"
}
},
"required": [
"premium"
]
}
}
]
}
}
]
},
"missing_when": {
"type": "object",
"cases": [
{
"else": {
"properties": {
"unconditional": {
"type": "number"
"required": [
"amount_1",
"amount_2"
]
}
},
"required": [
"unconditional"
]
}
{
"when": {
"properties": {
"kind": {
"const": "credit"
}
},
"required": [
"kind"
]
},
"then": {
"properties": {
"cvv": {
"type": "number"
}
},
"required": [
"cvv"
]
}
}
]
}
]
}
},
{
"name": "mutually_exclusive",
"schemas": {
"mutually_exclusive": {
"type": "object",
"properties": {
"type": {
"type": "string"
}
},
"cases": [
{
"when": {
"properties": {
"type": {
"const": "A"
}
},
"required": [
"type"
]
},
"then": {
"properties": {
"field_a": {
"type": "number"
}
},
"required": [
"field_a"
]
}
},
{
"when": {
"properties": {
"type": {
"const": "B"
}
},
"required": [
"type"
]
},
"then": {
"properties": {
"field_b": {
"type": "number"
}
},
"required": [
"field_b"
]
},
"else": {
"properties": {
"fallback_b": {
"type": "number"
}
},
"required": [
"fallback_b"
]
}
}
]
}
}
},
{
"name": "nested_fallbacks",
"schemas": {
"nested_fallbacks": {
"type": "object",
"properties": {
"tier": {
"type": "string"
}
},
"cases": [
{
"when": {
"properties": {
"tier": {
"const": "1"
}
},
"required": [
"tier"
]
},
"then": {
"properties": {
"basic": {
"type": "number"
}
},
"required": [
"basic"
]
},
"else": {
"cases": [
{
"when": {
"properties": {
"tier": {
"const": "2"
}
},
"required": [
"tier"
]
},
"then": {
"properties": {
"standard": {
"type": "number"
}
},
"required": [
"standard"
]
},
"else": {
"properties": {
"premium": {
"type": "number"
}
},
"required": [
"premium"
]
}
}
]
}
}
]
}
}
},
{
"name": "missing_when",
"schemas": {
"missing_when": {
"type": "object",
"cases": [
{
"else": {
"properties": {
"unconditional": {
"type": "number"
}
},
"required": [
"unconditional"
]
}
}
]
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "const validation",
"database": {
"schemas": {
"const_0_0": {
"const": 2
"types": [
{
"name": "const_0_0",
"schemas": {
"const_0_0": {
"const": 2
}
}
}
}
]
},
"tests": [
{
@ -41,18 +46,23 @@
{
"description": "const with object",
"database": {
"schemas": {
"const_1_0": {
"const": {
"foo": "bar",
"baz": "bax"
},
"properties": {
"foo": {},
"baz": {}
"types": [
{
"name": "const_1_0",
"schemas": {
"const_1_0": {
"const": {
"foo": "bar",
"baz": "bax"
},
"properties": {
"foo": {},
"baz": {}
}
}
}
}
}
]
},
"tests": [
{
@ -107,15 +117,20 @@
{
"description": "const with array",
"database": {
"schemas": {
"const_2_0": {
"const": [
{
"foo": "bar"
"types": [
{
"name": "const_2_0",
"schemas": {
"const_2_0": {
"const": [
{
"foo": "bar"
}
]
}
]
}
}
}
]
},
"tests": [
{
@ -160,11 +175,16 @@
{
"description": "const with null",
"database": {
"schemas": {
"const_3_0": {
"const": null
"types": [
{
"name": "const_3_0",
"schemas": {
"const_3_0": {
"const": null
}
}
}
}
]
},
"tests": [
{
@ -190,11 +210,16 @@
{
"description": "const with false does not match 0",
"database": {
"schemas": {
"const_4_0": {
"const": false
"types": [
{
"name": "const_4_0",
"schemas": {
"const_4_0": {
"const": false
}
}
}
}
]
},
"tests": [
{
@ -229,11 +254,16 @@
{
"description": "const with true does not match 1",
"database": {
"schemas": {
"const_5_0": {
"const": true
"types": [
{
"name": "const_5_0",
"schemas": {
"const_5_0": {
"const": true
}
}
}
}
]
},
"tests": [
{
@ -268,13 +298,18 @@
{
"description": "const with [false] does not match [0]",
"database": {
"schemas": {
"const_6_0": {
"const": [
false
]
"types": [
{
"name": "const_6_0",
"schemas": {
"const_6_0": {
"const": [
false
]
}
}
}
}
]
},
"tests": [
{
@ -315,13 +350,18 @@
{
"description": "const with [true] does not match [1]",
"database": {
"schemas": {
"const_7_0": {
"const": [
true
]
"types": [
{
"name": "const_7_0",
"schemas": {
"const_7_0": {
"const": [
true
]
}
}
}
}
]
},
"tests": [
{
@ -362,13 +402,18 @@
{
"description": "const with {\"a\": false} does not match {\"a\": 0}",
"database": {
"schemas": {
"const_8_0": {
"const": {
"a": false
"types": [
{
"name": "const_8_0",
"schemas": {
"const_8_0": {
"const": {
"a": false
}
}
}
}
}
]
},
"tests": [
{
@ -409,13 +454,18 @@
{
"description": "const with {\"a\": true} does not match {\"a\": 1}",
"database": {
"schemas": {
"const_9_0": {
"const": {
"a": true
"types": [
{
"name": "const_9_0",
"schemas": {
"const_9_0": {
"const": {
"a": true
}
}
}
}
}
]
},
"tests": [
{
@ -456,11 +506,16 @@
{
"description": "const with 0 does not match other zero-like types",
"database": {
"schemas": {
"const_10_0": {
"const": 0
"types": [
{
"name": "const_10_0",
"schemas": {
"const_10_0": {
"const": 0
}
}
}
}
]
},
"tests": [
{
@ -522,11 +577,16 @@
{
"description": "const with 1 does not match true",
"database": {
"schemas": {
"const_11_0": {
"const": 1
"types": [
{
"name": "const_11_0",
"schemas": {
"const_11_0": {
"const": 1
}
}
}
}
]
},
"tests": [
{
@ -561,11 +621,16 @@
{
"description": "const with -2.0 matches integer and float types",
"database": {
"schemas": {
"const_12_0": {
"const": -2
"types": [
{
"name": "const_12_0",
"schemas": {
"const_12_0": {
"const": -2
}
}
}
}
]
},
"tests": [
{
@ -618,11 +683,16 @@
{
"description": "float and integers are equal up to 64-bit representation limits",
"database": {
"schemas": {
"const_13_0": {
"const": 9007199254740992
"types": [
{
"name": "const_13_0",
"schemas": {
"const_13_0": {
"const": 9007199254740992
}
}
}
}
]
},
"tests": [
{
@ -666,11 +736,16 @@
{
"description": "nul characters in strings",
"database": {
"schemas": {
"const_14_0": {
"const": "hello\u0000there"
"types": [
{
"name": "const_14_0",
"schemas": {
"const_14_0": {
"const": "hello\u0000there"
}
}
}
}
]
},
"tests": [
{
@ -696,17 +771,22 @@
{
"description": "characters with the same visual representation but different codepoint",
"database": {
"schemas": {
"const_15_0": {
"const": "μ",
"$comment": "U+03BC"
"types": [
{
"name": "const_15_0",
"schemas": {
"const_15_0": {
"const": "\u03bc",
"$comment": "U+03BC"
}
}
}
}
]
},
"tests": [
{
"description": "character uses the same codepoint",
"data": "μ",
"data": "\u03bc",
"comment": "U+03BC",
"schema_id": "const_15_0",
"action": "validate",
@ -716,7 +796,7 @@
},
{
"description": "character looks the same but uses a different codepoint",
"data": "µ",
"data": "\u00b5",
"comment": "U+00B5",
"schema_id": "const_15_0",
"action": "validate",
@ -729,17 +809,22 @@
{
"description": "characters with the same visual representation, but different number of codepoints",
"database": {
"schemas": {
"const_16_0": {
"const": "ä",
"$comment": "U+00E4"
"types": [
{
"name": "const_16_0",
"schemas": {
"const_16_0": {
"const": "\u00e4",
"$comment": "U+00E4"
}
}
}
}
]
},
"tests": [
{
"description": "character uses the same codepoint",
"data": "ä",
"data": "\u00e4",
"comment": "U+00E4",
"schema_id": "const_16_0",
"action": "validate",
@ -749,7 +834,7 @@
},
{
"description": "character looks the same but uses combining marks",
"data": "ä",
"data": "a\u0308",
"comment": "a, U+0308",
"schema_id": "const_16_0",
"action": "validate",
@ -762,14 +847,19 @@
{
"description": "extensible: true allows extra properties in const object match",
"database": {
"schemas": {
"const_17_0": {
"const": {
"a": 1
},
"extensible": true
"types": [
{
"name": "const_17_0",
"schemas": {
"const_17_0": {
"const": {
"a": 1
},
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,14 +2,19 @@
{
"description": "contains keyword validation",
"database": {
"schemas": {
"contains_0_0": {
"contains": {
"minimum": 5
},
"items": true
"types": [
{
"name": "contains_0_0",
"schemas": {
"contains_0_0": {
"contains": {
"minimum": 5
},
"items": true
}
}
}
}
]
},
"tests": [
{
@ -88,14 +93,19 @@
{
"description": "contains keyword with const keyword",
"database": {
"schemas": {
"contains_1_0": {
"contains": {
"const": 5
},
"items": true
"types": [
{
"name": "contains_1_0",
"schemas": {
"contains_1_0": {
"contains": {
"const": 5
},
"items": true
}
}
}
}
]
},
"tests": [
{
@ -144,11 +154,16 @@
{
"description": "contains keyword with boolean schema true",
"database": {
"schemas": {
"contains_2_0": {
"contains": true
"types": [
{
"name": "contains_2_0",
"schemas": {
"contains_2_0": {
"contains": true
}
}
}
}
]
},
"tests": [
{
@ -176,11 +191,16 @@
{
"description": "contains keyword with boolean schema false",
"database": {
"schemas": {
"contains_3_0": {
"contains": false
"types": [
{
"name": "contains_3_0",
"schemas": {
"contains_3_0": {
"contains": false
}
}
}
}
]
},
"tests": [
{
@ -217,16 +237,21 @@
{
"description": "items + contains",
"database": {
"schemas": {
"contains_4_0": {
"items": {
"multipleOf": 2
},
"contains": {
"multipleOf": 3
"types": [
{
"name": "contains_4_0",
"schemas": {
"contains_4_0": {
"items": {
"multipleOf": 2
},
"contains": {
"multipleOf": 3
}
}
}
}
}
]
},
"tests": [
{
@ -284,14 +309,19 @@
{
"description": "contains with false if subschema",
"database": {
"schemas": {
"contains_5_0": {
"contains": {
"if": false,
"else": true
"types": [
{
"name": "contains_5_0",
"schemas": {
"contains_5_0": {
"contains": {
"if": false,
"else": true
}
}
}
}
}
]
},
"tests": [
{
@ -319,13 +349,18 @@
{
"description": "contains with null instance elements",
"database": {
"schemas": {
"contains_6_0": {
"contains": {
"type": "null"
"types": [
{
"name": "contains_6_0",
"schemas": {
"contains_6_0": {
"contains": {
"type": "null"
}
}
}
}
}
]
},
"tests": [
{
@ -344,14 +379,19 @@
{
"description": "extensible: true allows non-matching items in contains",
"database": {
"schemas": {
"contains_7_0": {
"contains": {
"const": 1
},
"extensible": true
"types": [
{
"name": "contains_7_0",
"schemas": {
"contains_7_0": {
"contains": {
"const": 1
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -371,13 +411,18 @@
{
"description": "strict by default: non-matching items in contains are invalid",
"database": {
"schemas": {
"contains_8_0": {
"contains": {
"const": 1
"types": [
{
"name": "contains_8_0",
"schemas": {
"contains_8_0": {
"contains": {
"const": 1
}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "validation of string-encoded content based on media type",
"database": {
"schemas": {
"content_0_0": {
"contentMediaType": "application/json"
"types": [
{
"name": "content_0_0",
"schemas": {
"content_0_0": {
"contentMediaType": "application/json"
}
}
}
}
]
},
"tests": [
{
@ -41,11 +46,16 @@
{
"description": "validation of binary string-encoding",
"database": {
"schemas": {
"content_1_0": {
"contentEncoding": "base64"
"types": [
{
"name": "content_1_0",
"schemas": {
"content_1_0": {
"contentEncoding": "base64"
}
}
}
}
]
},
"tests": [
{
@ -80,12 +90,17 @@
{
"description": "validation of binary-encoded media type documents",
"database": {
"schemas": {
"content_2_0": {
"contentMediaType": "application/json",
"contentEncoding": "base64"
"types": [
{
"name": "content_2_0",
"schemas": {
"content_2_0": {
"contentMediaType": "application/json",
"contentEncoding": "base64"
}
}
}
}
]
},
"tests": [
{
@ -129,26 +144,31 @@
{
"description": "validation of binary-encoded media type documents with schema",
"database": {
"schemas": {
"content_3_0": {
"contentMediaType": "application/json",
"contentEncoding": "base64",
"contentSchema": {
"type": "object",
"required": [
"foo"
],
"properties": {
"foo": {
"type": "string"
},
"boo": {
"type": "integer"
"types": [
{
"name": "content_3_0",
"schemas": {
"content_3_0": {
"contentMediaType": "application/json",
"contentEncoding": "base64",
"contentSchema": {
"type": "object",
"required": [
"foo"
],
"properties": {
"foo": {
"type": "string"
},
"boo": {
"type": "integer"
}
}
}
}
}
}
}
]
},
"tests": [
{

View File

@ -398,5 +398,542 @@
}
}
]
},
{
"description": "Schema Promotion Accuracy Test",
"database": {
"puncs": [],
"enums": [],
"relations": [
{
"id": "r1",
"type": "relation",
"constraint": "fk_person_email",
"source_type": "person",
"source_columns": [
"email_id"
],
"destination_type": "email_address",
"destination_columns": [
"id"
],
"prefix": "email"
},
{
"id": "r2",
"type": "relation",
"constraint": "fk_person_ad_hoc_bubble",
"source_type": "person",
"source_columns": [
"ad_hoc_bubble_id"
],
"destination_type": "some_bubble",
"destination_columns": [
"id"
],
"prefix": "ad_hoc_bubble"
},
{
"id": "r3",
"type": "relation",
"constraint": "fk_person_generic_bubble",
"source_type": "person",
"source_columns": [
"generic_bubble_id"
],
"destination_type": "some_bubble",
"destination_columns": [
"id"
],
"prefix": "generic_bubble"
},
{
"id": "r4",
"type": "relation",
"constraint": "fk_person_extended_relations",
"source_type": "contact",
"source_columns": [
"source_id"
],
"destination_type": "person",
"destination_columns": [
"id"
],
"prefix": "extended_relations"
},
{
"id": "r5",
"type": "relation",
"constraint": "fk_person_standard_relations",
"source_type": "contact",
"source_columns": [
"source_id_2"
],
"destination_type": "person",
"destination_columns": [
"id"
],
"prefix": "standard_relations"
},
{
"id": "r6",
"type": "relation",
"constraint": "fk_contact_target",
"source_type": "contact",
"source_columns": [
"target_id"
],
"destination_type": "email_address",
"destination_columns": [
"id"
],
"prefix": "target"
}
],
"types": [
{
"id": "t1",
"type": "type",
"name": "person",
"module": "core",
"source": "person",
"hierarchy": [
"person"
],
"variations": [
"person",
"student"
],
"schemas": {
"full.person": {
"type": "object",
"properties": {
"type": {
"type": "string"
},
"name": {
"type": "string"
},
"email": {
"family": "email_address"
},
"generic_bubble": {
"type": "some_bubble"
},
"ad_hoc_bubble": {
"type": "some_bubble",
"properties": {
"extra_inline_feature": {
"type": "string"
}
}
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"standard_relations": {
"type": "array",
"items": {
"type": "contact"
}
},
"extended_relations": {
"type": "array",
"items": {
"type": "contact",
"properties": {
"target": {
"type": "email_address",
"properties": {
"extra_3rd_level": {
"type": "string"
}
}
}
}
}
}
}
},
"student.person": {
"type": "object",
"properties": {
"type": {
"type": "string"
},
"kind": {
"type": "string"
},
"school": {
"type": "string"
}
}
}
}
},
{
"id": "t2",
"type": "type",
"name": "email_address",
"module": "core",
"source": "email_address",
"hierarchy": [
"email_address"
],
"variations": [
"email_address"
],
"schemas": {
"light.email_address": {
"type": "object",
"properties": {
"address": {
"type": "string"
}
}
}
}
},
{
"id": "t3",
"type": "type",
"name": "contact",
"module": "core",
"source": "contact",
"hierarchy": [
"contact"
],
"variations": [
"contact"
],
"schemas": {
"full.contact": {
"type": "object",
"properties": {
"id": {
"type": "string"
}
}
}
}
},
{
"id": "t4",
"type": "type",
"name": "some_bubble",
"module": "core",
"source": "some_bubble",
"hierarchy": [
"some_bubble"
],
"variations": [
"some_bubble"
],
"schemas": {
"some_bubble": {
"type": "object",
"properties": {
"bubble_prop": {
"type": "string"
}
}
}
}
}
]
},
"tests": [
{
"description": "Assert exact topological schema promotion paths",
"action": "compile",
"expect": {
"success": true,
"schemas": {
"full.contact": {},
"full.contact.filter": {},
"full.person": {},
"full.person.filter": {},
"full.person/ad_hoc_bubble": {},
"full.person/extended_relations": {},
"full.person/extended_relations/target": {},
"light.email_address": {},
"light.email_address.filter": {},
"some_bubble": {},
"some_bubble.filter": {},
"student.person": {},
"student.person.filter": {}
}
}
}
]
},
{
"description": "JSONB boundaries",
"database": {
"relations": [
{
"id": "33333333-3333-3333-3333-333333333333",
"type": "relation",
"constraint": "fk_invoice_line_invoice",
"source_type": "invoice_line",
"source_columns": [
"invoice_id"
],
"destination_type": "invoice",
"destination_columns": [
"id"
]
}
],
"types": [
{
"name": "entity",
"hierarchy": [
"entity"
],
"grouped_fields": {
"entity": [
"id",
"type",
"archived",
"created_at"
]
},
"field_types": {
"id": "uuid",
"archived": "boolean",
"created_at": "timestamptz",
"type": "text"
},
"schemas": {
"entity": {
"type": "object",
"properties": {
"id": {
"type": "string",
"format": "uuid"
},
"type": {
"type": "string"
},
"archived": {
"type": "boolean"
},
"created_at": {
"type": "string",
"format": "date-time"
},
"created": {
"type": "boolean"
}
}
}
},
"fields": [
"id",
"type",
"archived",
"created_at"
],
"variations": [
"entity",
"invoice",
"invoice_line"
]
},
{
"name": "invoice",
"schemas": {
"invoice": {
"type": "entity",
"properties": {
"total": {
"type": "number"
},
"lines": {
"type": "array",
"items": {
"type": "invoice_line"
}
},
"metadata_line": {
"type": "invoice_line"
},
"metadata_lines": {
"type": "array",
"items": {
"type": "invoice_line"
}
},
"metadata_nested_line": {
"type": "object",
"properties": {
"line": {
"type": "invoice_line"
}
}
},
"metadata_nested_lines": {
"type": "object",
"properties": {
"lines": {
"type": "array",
"items": {
"type": "invoice_line"
}
}
}
}
}
}
},
"hierarchy": [
"invoice",
"entity"
],
"fields": [
"id",
"type",
"total",
"metadata_line",
"metadata_lines",
"metadata_nested_line",
"metadata_nested_lines",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"invoice": [
"id",
"type",
"total",
"metadata_line",
"metadata_lines",
"metadata_nested_line",
"metadata_nested_lines"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [
"id"
],
"historical": true,
"relationship": false,
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"total": "numeric",
"metadata_line": "jsonb",
"metadata_lines": "jsonb",
"metadata_nested_line": "jsonb",
"metadata_nested_lines": "jsonb",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"variations": [
"invoice"
]
},
{
"name": "invoice_line",
"schemas": {
"invoice_line": {
"type": "entity",
"properties": {
"invoice_id": {
"type": "string"
},
"price": {
"type": "number"
}
}
}
},
"hierarchy": [
"invoice_line",
"entity"
],
"fields": [
"id",
"type",
"invoice_id",
"price",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"invoice_line": [
"id",
"type",
"invoice_id",
"price"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [],
"historical": true,
"relationship": false,
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"invoice_id": "uuid",
"price": "numeric",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"variations": [
"invoice_line"
]
}
]
},
"tests": [
{
"description": "Assert no JSONB paths promoted",
"action": "compile",
"expect": {
"success": true,
"schemas": {
"entity": {},
"entity.filter": {},
"invoice": {},
"invoice.filter": {},
"invoice_line": {},
"invoice_line.filter": {}
}
}
}
]
}
]

View File

@ -2,17 +2,22 @@
{
"description": "single dependency (required)",
"database": {
"schemas": {
"schema1": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": [
"foo"
]
},
"extensible": true
"types": [
{
"name": "schema1",
"schemas": {
"schema1": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": [
"foo"
]
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -92,15 +97,20 @@
{
"description": "empty dependents",
"database": {
"schemas": {
"schema2": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": []
},
"extensible": true
"types": [
{
"name": "schema2",
"schemas": {
"schema2": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": []
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -137,18 +147,23 @@
{
"description": "multiple dependents required",
"database": {
"schemas": {
"schema3": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"quux": [
"foo",
"bar"
]
},
"extensible": true
"types": [
{
"name": "schema3",
"schemas": {
"schema3": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"quux": [
"foo",
"bar"
]
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -225,20 +240,25 @@
{
"description": "dependencies with escaped characters",
"database": {
"schemas": {
"schema4": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"foo\nbar": [
"foo\rbar"
],
"foo\"bar": [
"foo'bar"
]
},
"extensible": true
"types": [
{
"name": "schema4",
"schemas": {
"schema4": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"foo\nbar": [
"foo\rbar"
],
"foo\"bar": [
"foo'bar"
]
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -293,17 +313,22 @@
{
"description": "extensible: true allows extra properties in dependentRequired",
"database": {
"schemas": {
"schema5": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": [
"foo"
]
},
"extensible": true
"types": [
{
"name": "schema5",
"schemas": {
"schema5": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"dependencies": {
"bar": [
"foo"
]
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -324,27 +349,32 @@
{
"description": "single dependency (schemas, STRICT)",
"database": {
"schemas": {
"schema_schema1": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": true,
"bar": true
},
"dependencies": {
"bar": {
"types": [
{
"name": "schema_schema1",
"schemas": {
"schema_schema1": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": {
"type": "integer"
},
"foo": true,
"bar": true
},
"dependencies": {
"bar": {
"type": "integer"
"properties": {
"foo": {
"type": "integer"
},
"bar": {
"type": "integer"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -445,28 +475,33 @@
{
"description": "single dependency (schemas, EXTENSIBLE)",
"database": {
"schemas": {
"schema_schema2": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": true,
"bar": true
},
"dependencies": {
"bar": {
"types": [
{
"name": "schema_schema2",
"schemas": {
"schema_schema2": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": {
"type": "integer"
},
"foo": true,
"bar": true
},
"dependencies": {
"bar": {
"type": "integer"
"properties": {
"foo": {
"type": "integer"
},
"bar": {
"type": "integer"
}
}
}
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{
@ -485,19 +520,24 @@
{
"description": "boolean subschemas",
"database": {
"schemas": {
"schema_schema3": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": true,
"bar": true
},
"dependencies": {
"foo": true,
"bar": false
"types": [
{
"name": "schema_schema3",
"schemas": {
"schema_schema3": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": true,
"bar": true
},
"dependencies": {
"foo": true,
"bar": false
}
}
}
}
}
]
},
"tests": [
{
@ -548,29 +588,34 @@
{
"description": "dependencies with escaped characters",
"database": {
"schemas": {
"schema_schema4": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo\tbar": true,
"foo'bar": true,
"a": true,
"b": true,
"c": true
},
"dependencies": {
"foo\tbar": {
"minProperties": 4,
"extensible": true
},
"foo'bar": {
"required": [
"foo\"bar"
]
"types": [
{
"name": "schema_schema4",
"schemas": {
"schema_schema4": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo\tbar": true,
"foo'bar": true,
"a": true,
"b": true,
"c": true
},
"dependencies": {
"foo\tbar": {
"minProperties": 4,
"extensible": true
},
"foo'bar": {
"required": [
"foo\"bar"
]
}
}
}
}
}
}
]
},
"tests": [
{
@ -628,22 +673,27 @@
{
"description": "dependent subschema incompatible with root (STRICT)",
"database": {
"schemas": {
"schema_schema5": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": {},
"baz": true
},
"dependencies": {
"foo": {
"types": [
{
"name": "schema_schema5",
"schemas": {
"schema_schema5": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"bar": {}
"foo": {},
"baz": true
},
"dependencies": {
"foo": {
"properties": {
"bar": {}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -701,24 +751,29 @@
{
"description": "dependent subschema incompatible with root (EXTENSIBLE)",
"database": {
"schemas": {
"schema_schema6": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"foo": {},
"baz": true
},
"dependencies": {
"foo": {
"types": [
{
"name": "schema_schema6",
"schemas": {
"schema_schema6": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"bar": {}
"foo": {},
"baz": true
},
"additionalProperties": false
"dependencies": {
"foo": {
"properties": {
"bar": {}
},
"additionalProperties": false
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{

155
fixtures/dynamicType.json Normal file
View File

@ -0,0 +1,155 @@
[
{
"description": "Dynamic type binding ($sibling.suffix) validation",
"database": {
"types": [
{
"name": "person",
"schemas": {
"person.filter": {
"properties": {
"age": {
"type": "integer"
}
}
}
}
},
{
"name": "widget",
"schemas": {
"widget.filter": {
"properties": {
"weight": {
"type": "integer"
}
}
}
}
},
{
"name": "search",
"schemas": {
"search": {
"properties": {
"kind": {
"type": "string"
},
"filter": {
"type": "$kind.filter"
}
}
}
}
}
]
},
"tests": [
{
"description": "Valid person filter payload",
"data": {
"kind": "person",
"filter": {
"age": 30
}
},
"schema_id": "search",
"action": "validate",
"expect": {
"success": true
}
},
{
"description": "Invalid person filter payload (fails constraint)",
"data": {
"kind": "person",
"filter": {
"age": "thirty"
}
},
"schema_id": "search",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "INVALID_TYPE",
"details": {
"path": "filter/age"
}
}
]
}
},
{
"description": "Valid widget filter payload",
"data": {
"kind": "widget",
"filter": {
"weight": 500
}
},
"schema_id": "search",
"action": "validate",
"expect": {
"success": true
}
},
{
"description": "Fails resolution if kind doesn't match an existing schema",
"data": {
"kind": "unknown",
"filter": {
"weight": 500
}
},
"schema_id": "search",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "DYNAMIC_TYPE_RESOLUTION_FAILED",
"details": {
"path": "filter"
}
},
{
"code": "STRICT_PROPERTY_VIOLATION",
"details": {
"path": "filter/weight"
}
}
]
}
},
{
"description": "Fails resolution if discriminator is missing",
"data": {
"filter": {
"weight": 500
}
},
"schema_id": "search",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "DYNAMIC_TYPE_RESOLUTION_FAILED",
"details": {
"path": "filter"
}
},
{
"code": "STRICT_PROPERTY_VIOLATION",
"details": {
"path": "filter/weight"
}
}
]
}
}
]
}
]

View File

@ -2,43 +2,48 @@
{
"description": "empty string is valid for all types (except const)",
"database": {
"schemas": {
"emptyString_0_0": {
"properties": {
"obj": {
"type": "object"
},
"arr": {
"type": "array"
},
"str": {
"type": "string"
},
"int": {
"type": "integer"
},
"num": {
"type": "number"
},
"bool": {
"type": "boolean"
},
"nul": {
"type": "null"
},
"fmt": {
"type": "string",
"format": "uuid"
},
"con": {
"const": "value"
},
"con_empty": {
"const": ""
"types": [
{
"name": "emptyString_0_0",
"schemas": {
"emptyString_0_0": {
"properties": {
"obj": {
"type": "object"
},
"arr": {
"type": "array"
},
"str": {
"type": "string"
},
"int": {
"type": "integer"
},
"num": {
"type": "number"
},
"bool": {
"type": "boolean"
},
"nul": {
"type": "null"
},
"fmt": {
"type": "string",
"format": "uuid"
},
"con": {
"const": "value"
},
"con_empty": {
"const": ""
}
}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,15 +2,20 @@
{
"description": "simple enum validation",
"database": {
"schemas": {
"enum_0_0": {
"enum": [
1,
2,
3
]
"types": [
{
"name": "enum_0_0",
"schemas": {
"enum_0_0": {
"enum": [
1,
2,
3
]
}
}
}
}
]
},
"tests": [
{
@ -36,22 +41,27 @@
{
"description": "heterogeneous enum validation",
"database": {
"schemas": {
"enum_1_0": {
"enum": [
6,
"foo",
[],
true,
{
"foo": 12
"types": [
{
"name": "enum_1_0",
"schemas": {
"enum_1_0": {
"enum": [
6,
"foo",
[],
true,
{
"foo": 12
}
],
"properties": {
"foo": {}
}
}
],
"properties": {
"foo": {}
}
}
}
]
},
"tests": [
{
@ -111,14 +121,19 @@
{
"description": "heterogeneous enum-with-null validation",
"database": {
"schemas": {
"enum_2_0": {
"enum": [
6,
null
]
"types": [
{
"name": "enum_2_0",
"schemas": {
"enum_2_0": {
"enum": [
6,
null
]
}
}
}
}
]
},
"tests": [
{
@ -153,26 +168,31 @@
{
"description": "enums in properties",
"database": {
"schemas": {
"enum_3_0": {
"type": "object",
"properties": {
"foo": {
"enum": [
"foo"
]
},
"bar": {
"enum": [
"types": [
{
"name": "enum_3_0",
"schemas": {
"enum_3_0": {
"type": "object",
"properties": {
"foo": {
"enum": [
"foo"
]
},
"bar": {
"enum": [
"bar"
]
}
},
"required": [
"bar"
]
}
},
"required": [
"bar"
]
}
}
}
]
},
"tests": [
{
@ -247,14 +267,19 @@
{
"description": "enum with escaped characters",
"database": {
"schemas": {
"enum_4_0": {
"enum": [
"foo\nbar",
"foo\rbar"
]
"types": [
{
"name": "enum_4_0",
"schemas": {
"enum_4_0": {
"enum": [
"foo\nbar",
"foo\rbar"
]
}
}
}
}
]
},
"tests": [
{
@ -289,13 +314,18 @@
{
"description": "enum with false does not match 0",
"database": {
"schemas": {
"enum_5_0": {
"enum": [
false
]
"types": [
{
"name": "enum_5_0",
"schemas": {
"enum_5_0": {
"enum": [
false
]
}
}
}
}
]
},
"tests": [
{
@ -330,15 +360,20 @@
{
"description": "enum with [false] does not match [0]",
"database": {
"schemas": {
"enum_6_0": {
"enum": [
[
false
]
]
"types": [
{
"name": "enum_6_0",
"schemas": {
"enum_6_0": {
"enum": [
[
false
]
]
}
}
}
}
]
},
"tests": [
{
@ -379,13 +414,18 @@
{
"description": "enum with true does not match 1",
"database": {
"schemas": {
"enum_7_0": {
"enum": [
true
]
"types": [
{
"name": "enum_7_0",
"schemas": {
"enum_7_0": {
"enum": [
true
]
}
}
}
}
]
},
"tests": [
{
@ -420,15 +460,20 @@
{
"description": "enum with [true] does not match [1]",
"database": {
"schemas": {
"enum_8_0": {
"enum": [
[
true
]
]
"types": [
{
"name": "enum_8_0",
"schemas": {
"enum_8_0": {
"enum": [
[
true
]
]
}
}
}
}
]
},
"tests": [
{
@ -469,13 +514,18 @@
{
"description": "enum with 0 does not match false",
"database": {
"schemas": {
"enum_9_0": {
"enum": [
0
]
"types": [
{
"name": "enum_9_0",
"schemas": {
"enum_9_0": {
"enum": [
0
]
}
}
}
}
]
},
"tests": [
{
@ -510,15 +560,20 @@
{
"description": "enum with [0] does not match [false]",
"database": {
"schemas": {
"enum_10_0": {
"enum": [
[
0
]
]
"types": [
{
"name": "enum_10_0",
"schemas": {
"enum_10_0": {
"enum": [
[
0
]
]
}
}
}
}
]
},
"tests": [
{
@ -559,13 +614,18 @@
{
"description": "enum with 1 does not match true",
"database": {
"schemas": {
"enum_11_0": {
"enum": [
1
]
"types": [
{
"name": "enum_11_0",
"schemas": {
"enum_11_0": {
"enum": [
1
]
}
}
}
}
]
},
"tests": [
{
@ -600,15 +660,20 @@
{
"description": "enum with [1] does not match [true]",
"database": {
"schemas": {
"enum_12_0": {
"enum": [
[
1
]
]
"types": [
{
"name": "enum_12_0",
"schemas": {
"enum_12_0": {
"enum": [
[
1
]
]
}
}
}
}
]
},
"tests": [
{
@ -649,13 +714,18 @@
{
"description": "nul characters in strings",
"database": {
"schemas": {
"enum_13_0": {
"enum": [
"hello\u0000there"
]
"types": [
{
"name": "enum_13_0",
"schemas": {
"enum_13_0": {
"enum": [
"hello\u0000there"
]
}
}
}
}
]
},
"tests": [
{
@ -681,16 +751,21 @@
{
"description": "extensible: true allows extra properties in enum object match",
"database": {
"schemas": {
"enum_14_0": {
"enum": [
{
"foo": 1
"types": [
{
"name": "enum_14_0",
"schemas": {
"enum_14_0": {
"enum": [
{
"foo": 1
}
],
"extensible": true
}
],
"extensible": true
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "exclusiveMaximum validation",
"database": {
"schemas": {
"exclusiveMaximum_0_0": {
"exclusiveMaximum": 3
"types": [
{
"name": "exclusiveMaximum_0_0",
"schemas": {
"exclusiveMaximum_0_0": {
"exclusiveMaximum": 3
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "exclusiveMinimum validation",
"database": {
"schemas": {
"exclusiveMinimum_0_0": {
"exclusiveMinimum": 1.1
"types": [
{
"name": "exclusiveMinimum_0_0",
"schemas": {
"exclusiveMinimum_0_0": {
"exclusiveMinimum": 1.1
}
}
}
}
]
},
"tests": [
{

362
fixtures/filter.json Normal file
View File

@ -0,0 +1,362 @@
[
{
"description": "Filter Synthesis Object-Oriented Composition",
"database": {
"puncs": [],
"enums": [],
"relations": [
{
"id": "rel1",
"type": "relation",
"constraint": "fk_person_billing_address",
"source_type": "person",
"source_columns": [
"billing_address_id"
],
"destination_type": "address",
"destination_columns": [
"id"
],
"prefix": "billing_address"
}
],
"types": [
{
"id": "type1",
"type": "type",
"name": "person",
"module": "core",
"source": "person",
"hierarchy": [
"person"
],
"variations": [
"person"
],
"schemas": {
"person": {
"type": "object",
"properties": {
"first_name": {
"type": "string"
},
"age": {
"type": "integer"
},
"billing_address": {
"type": "address"
},
"birth_date": {
"type": "string",
"format": "date-time"
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"ad_hoc": {
"type": "object",
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
},
{
"id": "type2",
"type": "type",
"name": "address",
"module": "core",
"source": "address",
"hierarchy": [
"address"
],
"variations": [
"address"
],
"schemas": {
"address": {
"type": "object",
"properties": {
"city": {
"type": "string"
}
}
}
}
},
{
"id": "type3",
"type": "type",
"name": "search",
"module": "core",
"source": "search",
"hierarchy": [
"search"
],
"variations": [
"search"
],
"schemas": {
"search": {
"type": "object",
"properties": {
"kind": {
"type": "string"
},
"name": {
"type": "string"
},
"filter": {
"type": "$kind.filter"
}
}
},
"condition": {
"type": "object",
"properties": {
"kind": {
"type": "string"
}
}
},
"string.condition": {
"type": "condition",
"properties": {
"$eq": {
"type": [
"string",
"null"
]
}
}
},
"integer.condition": {
"type": "condition",
"properties": {
"$eq": {
"type": [
"integer",
"null"
]
}
}
},
"date.condition": {
"type": "condition",
"properties": {
"$eq": {
"type": [
"string",
"null"
]
}
}
}
}
}
]
},
"tests": [
{
"description": "Assert filter generation map accurately represents strongly typed conditions natively.",
"action": "compile",
"expect": {
"success": true,
"schemas": {
"person": {},
"person.filter": {
"type": "object",
"compiledPropertyNames": [
"$and",
"$or",
"age",
"billing_address",
"birth_date",
"first_name"
],
"properties": {
"$and": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"age",
"billing_address",
"birth_date",
"first_name"
],
"type": "person.filter"
}
},
"$or": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"age",
"billing_address",
"birth_date",
"first_name"
],
"type": "person.filter"
}
},
"first_name": {
"type": [
"string.condition",
"null"
]
},
"age": {
"type": [
"integer.condition",
"null"
]
},
"billing_address": {
"type": [
"address.filter",
"null"
]
},
"birth_date": {
"type": [
"date.condition",
"null"
]
}
}
},
"address": {},
"address.filter": {
"type": "object",
"compiledPropertyNames": [
"$and",
"$or",
"city"
],
"properties": {
"$and": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"city"
],
"type": "address.filter"
}
},
"$or": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"city"
],
"type": "address.filter"
}
},
"city": {
"type": [
"string.condition",
"null"
]
}
}
},
"condition": {},
"string.condition": {},
"integer.condition": {},
"date.condition": {},
"search": {},
"search.filter": {
"type": "object",
"compiledPropertyNames": [
"$and",
"$or",
"filter",
"kind",
"name"
],
"properties": {
"$and": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"filter",
"kind",
"name"
],
"type": "search.filter"
}
},
"$or": {
"type": [
"array",
"null"
],
"items": {
"compiledPropertyNames": [
"$and",
"$or",
"filter",
"kind",
"name"
],
"type": "search.filter"
}
},
"filter": {
"type": [
"$kind.filter.filter",
"null"
]
},
"kind": {
"type": [
"string.condition",
"null"
]
},
"name": {
"type": [
"string.condition",
"null"
]
}
}
}
}
}
}
]
}
]

File diff suppressed because it is too large Load Diff

View File

@ -2,13 +2,18 @@
{
"description": "a schema given for items",
"database": {
"schemas": {
"items_0_0": {
"items": {
"type": "integer"
"types": [
{
"name": "items_0_0",
"schemas": {
"items_0_0": {
"items": {
"type": "integer"
}
}
}
}
}
]
},
"tests": [
{
@ -64,11 +69,16 @@
{
"description": "items with boolean schema (true)",
"database": {
"schemas": {
"items_1_0": {
"items": true
"types": [
{
"name": "items_1_0",
"schemas": {
"items_1_0": {
"items": true
}
}
}
}
]
},
"tests": [
{
@ -98,11 +108,16 @@
{
"description": "items with boolean schema (false)",
"database": {
"schemas": {
"items_2_0": {
"items": false
"types": [
{
"name": "items_2_0",
"schemas": {
"items_2_0": {
"items": false
}
}
}
}
]
},
"tests": [
{
@ -132,41 +147,56 @@
{
"description": "items and subitems",
"database": {
"schemas": {
"items_3_0": {
"type": "array",
"items": false,
"prefixItems": [
{
"type": "item"
},
{
"type": "item"
},
{
"type": "item"
"types": [
{
"name": "items_3_0",
"schemas": {
"items_3_0": {
"type": "array",
"items": false,
"prefixItems": [
{
"type": "item"
},
{
"type": "item"
},
{
"type": "item"
}
]
}
]
}
},
"item": {
"type": "array",
"items": false,
"prefixItems": [
{
"type": "sub-item"
},
{
"type": "sub-item"
{
"name": "item",
"schemas": {
"item": {
"type": "array",
"items": false,
"prefixItems": [
{
"type": "sub-item"
},
{
"type": "sub-item"
}
]
}
]
}
},
"sub-item": {
"type": "object",
"required": [
"foo"
]
{
"name": "sub-item",
"schemas": {
"sub-item": {
"type": "object",
"required": [
"foo"
]
}
}
}
}
]
},
"tests": [
{
@ -368,23 +398,28 @@
{
"description": "nested items",
"database": {
"schemas": {
"items_4_0": {
"type": "array",
"items": {
"type": "array",
"items": {
"types": [
{
"name": "items_4_0",
"schemas": {
"items_4_0": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -500,16 +535,21 @@
{
"description": "prefixItems with no additional items allowed",
"database": {
"schemas": {
"items_5_0": {
"prefixItems": [
{},
{},
{}
],
"items": false
"types": [
{
"name": "items_5_0",
"schemas": {
"items_5_0": {
"prefixItems": [
{},
{},
{}
],
"items": false
}
}
}
}
]
},
"tests": [
{
@ -576,22 +616,27 @@
{
"description": "items does not look in applicators, valid case",
"database": {
"schemas": {
"items_6_0": {
"allOf": [
{
"prefixItems": [
"types": [
{
"name": "items_6_0",
"schemas": {
"items_6_0": {
"allOf": [
{
"minimum": 3
"prefixItems": [
{
"minimum": 3
}
]
}
]
],
"items": {
"minimum": 5
}
}
],
"items": {
"minimum": 5
}
}
}
]
},
"tests": [
{
@ -623,18 +668,23 @@
{
"description": "prefixItems validation adjusts the starting index for items",
"database": {
"schemas": {
"items_7_0": {
"prefixItems": [
{
"type": "string"
"types": [
{
"name": "items_7_0",
"schemas": {
"items_7_0": {
"prefixItems": [
{
"type": "string"
}
],
"items": {
"type": "integer"
}
}
],
"items": {
"type": "integer"
}
}
}
]
},
"tests": [
{
@ -667,14 +717,19 @@
{
"description": "items with heterogeneous array",
"database": {
"schemas": {
"items_8_0": {
"prefixItems": [
{}
],
"items": false
"types": [
{
"name": "items_8_0",
"schemas": {
"items_8_0": {
"prefixItems": [
{}
],
"items": false
}
}
}
}
]
},
"tests": [
{
@ -706,13 +761,18 @@
{
"description": "items with null instance elements",
"database": {
"schemas": {
"items_9_0": {
"items": {
"type": "null"
"types": [
{
"name": "items_9_0",
"schemas": {
"items_9_0": {
"items": {
"type": "null"
}
}
}
}
}
]
},
"tests": [
{
@ -731,12 +791,17 @@
{
"description": "extensible: true allows extra items (when items is false)",
"database": {
"schemas": {
"items_10_0": {
"items": false,
"extensible": true
"types": [
{
"name": "items_10_0",
"schemas": {
"items_10_0": {
"items": false,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -755,14 +820,19 @@
{
"description": "extensible: true allows extra properties for items",
"database": {
"schemas": {
"items_11_0": {
"items": {
"minimum": 5
},
"extensible": true
"types": [
{
"name": "items_11_0",
"schemas": {
"items_11_0": {
"items": {
"minimum": 5
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -793,12 +863,17 @@
{
"description": "array: simple extensible array",
"database": {
"schemas": {
"items_12_0": {
"type": "array",
"extensible": true
"types": [
{
"name": "items_12_0",
"schemas": {
"items_12_0": {
"type": "array",
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -827,12 +902,17 @@
{
"description": "array: strict array",
"database": {
"schemas": {
"items_13_0": {
"type": "array",
"extensible": false
"types": [
{
"name": "items_13_0",
"schemas": {
"items_13_0": {
"type": "array",
"extensible": false
}
}
}
}
]
},
"tests": [
{
@ -860,14 +940,19 @@
{
"description": "array: items extensible",
"database": {
"schemas": {
"items_14_0": {
"type": "array",
"items": {
"extensible": true
"types": [
{
"name": "items_14_0",
"schemas": {
"items_14_0": {
"type": "array",
"items": {
"extensible": true
}
}
}
}
}
]
},
"tests": [
{
@ -897,15 +982,20 @@
{
"description": "array: items strict",
"database": {
"schemas": {
"items_15_0": {
"type": "array",
"items": {
"type": "object",
"extensible": false
"types": [
{
"name": "items_15_0",
"schemas": {
"items_15_0": {
"type": "array",
"items": {
"type": "object",
"extensible": false
}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "maxContains without contains is ignored",
"database": {
"schemas": {
"maxContains_0_0": {
"maxContains": 1,
"extensible": true
"types": [
{
"name": "maxContains_0_0",
"schemas": {
"maxContains_0_0": {
"maxContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -38,15 +43,20 @@
{
"description": "maxContains with contains",
"database": {
"schemas": {
"maxContains_1_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
"types": [
{
"name": "maxContains_1_0",
"schemas": {
"maxContains_1_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -111,15 +121,20 @@
{
"description": "maxContains with contains, value with a decimal",
"database": {
"schemas": {
"maxContains_2_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
"types": [
{
"name": "maxContains_2_0",
"schemas": {
"maxContains_2_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -150,16 +165,21 @@
{
"description": "minContains < maxContains",
"database": {
"schemas": {
"maxContains_3_0": {
"contains": {
"const": 1
},
"minContains": 1,
"maxContains": 3,
"extensible": true
"types": [
{
"name": "maxContains_3_0",
"schemas": {
"maxContains_3_0": {
"contains": {
"const": 1
},
"minContains": 1,
"maxContains": 3,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -202,15 +222,20 @@
{
"description": "extensible: true allows non-matching items in maxContains",
"database": {
"schemas": {
"maxContains_4_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
"types": [
{
"name": "maxContains_4_0",
"schemas": {
"maxContains_4_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "maxItems validation",
"database": {
"schemas": {
"maxItems_0_0": {
"maxItems": 2,
"extensible": true
"types": [
{
"name": "maxItems_0_0",
"schemas": {
"maxItems_0_0": {
"maxItems": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -60,12 +65,17 @@
{
"description": "maxItems validation with a decimal",
"database": {
"schemas": {
"maxItems_1_0": {
"maxItems": 2,
"extensible": true
"types": [
{
"name": "maxItems_1_0",
"schemas": {
"maxItems_1_0": {
"maxItems": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -97,12 +107,17 @@
{
"description": "extensible: true allows extra items in maxItems (but counted)",
"database": {
"schemas": {
"maxItems_2_0": {
"maxItems": 2,
"extensible": true
"types": [
{
"name": "maxItems_2_0",
"schemas": {
"maxItems_2_0": {
"maxItems": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "maxLength validation",
"database": {
"schemas": {
"maxLength_0_0": {
"maxLength": 2
"types": [
{
"name": "maxLength_0_0",
"schemas": {
"maxLength_0_0": {
"maxLength": 2
}
}
}
}
]
},
"tests": [
{
@ -47,7 +52,7 @@
},
{
"description": "two graphemes is long enough",
"data": "💩💩",
"data": "\ud83d\udca9\ud83d\udca9",
"schema_id": "maxLength_0_0",
"action": "validate",
"expect": {
@ -59,11 +64,16 @@
{
"description": "maxLength validation with a decimal",
"database": {
"schemas": {
"maxLength_1_0": {
"maxLength": 2
"types": [
{
"name": "maxLength_1_0",
"schemas": {
"maxLength_1_0": {
"maxLength": 2
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "maxProperties validation",
"database": {
"schemas": {
"maxProperties_0_0": {
"maxProperties": 2,
"extensible": true
"types": [
{
"name": "maxProperties_0_0",
"schemas": {
"maxProperties_0_0": {
"maxProperties": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -82,12 +87,17 @@
{
"description": "maxProperties validation with a decimal",
"database": {
"schemas": {
"maxProperties_1_0": {
"maxProperties": 2,
"extensible": true
"types": [
{
"name": "maxProperties_1_0",
"schemas": {
"maxProperties_1_0": {
"maxProperties": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -119,12 +129,17 @@
{
"description": "maxProperties = 0 means the object is empty",
"database": {
"schemas": {
"maxProperties_2_0": {
"maxProperties": 0,
"extensible": true
"types": [
{
"name": "maxProperties_2_0",
"schemas": {
"maxProperties_2_0": {
"maxProperties": 0,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -152,12 +167,17 @@
{
"description": "extensible: true allows extra properties in maxProperties (though maxProperties still counts them!)",
"database": {
"schemas": {
"maxProperties_3_0": {
"maxProperties": 2,
"extensible": true
"types": [
{
"name": "maxProperties_3_0",
"schemas": {
"maxProperties_3_0": {
"maxProperties": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "maximum validation",
"database": {
"schemas": {
"maximum_0_0": {
"maximum": 3
"types": [
{
"name": "maximum_0_0",
"schemas": {
"maximum_0_0": {
"maximum": 3
}
}
}
}
]
},
"tests": [
{
@ -50,11 +55,16 @@
{
"description": "maximum validation with unsigned integer",
"database": {
"schemas": {
"maximum_1_0": {
"maximum": 300
"types": [
{
"name": "maximum_1_0",
"schemas": {
"maximum_1_0": {
"maximum": 300
}
}
}
}
]
},
"tests": [
{

View File

@ -2,23 +2,33 @@
{
"description": "merging: properties accumulate",
"database": {
"schemas": {
"base_0": {
"properties": {
"base_prop": {
"type": "string"
"types": [
{
"name": "base_0",
"schemas": {
"base_0": {
"properties": {
"base_prop": {
"type": "string"
}
}
}
}
},
"merge_0_0": {
"type": "base_0",
"properties": {
"child_prop": {
"type": "string"
{
"name": "merge_0_0",
"schemas": {
"merge_0_0": {
"type": "base_0",
"properties": {
"child_prop": {
"type": "string"
}
}
}
}
}
}
]
},
"tests": [
{
@ -58,29 +68,39 @@
{
"description": "merging: required fields accumulate",
"database": {
"schemas": {
"base_1": {
"properties": {
"a": {
"type": "string"
"types": [
{
"name": "base_1",
"schemas": {
"base_1": {
"properties": {
"a": {
"type": "string"
}
},
"required": [
"a"
]
}
},
"required": [
"a"
]
}
},
"merge_1_0": {
"type": "base_1",
"properties": {
"b": {
"type": "string"
{
"name": "merge_1_0",
"schemas": {
"merge_1_0": {
"type": "base_1",
"properties": {
"b": {
"type": "string"
}
},
"required": [
"b"
]
}
},
"required": [
"b"
]
}
}
}
]
},
"tests": [
{
@ -138,36 +158,46 @@
{
"description": "merging: dependencies accumulate",
"database": {
"schemas": {
"base_2": {
"properties": {
"trigger": {
"type": "string"
},
"base_dep": {
"type": "string"
"types": [
{
"name": "base_2",
"schemas": {
"base_2": {
"properties": {
"trigger": {
"type": "string"
},
"base_dep": {
"type": "string"
}
},
"dependencies": {
"trigger": [
"base_dep"
]
}
}
},
"dependencies": {
"trigger": [
"base_dep"
]
}
},
"merge_2_0": {
"type": "base_2",
"properties": {
"child_dep": {
"type": "string"
{
"name": "merge_2_0",
"schemas": {
"merge_2_0": {
"type": "base_2",
"properties": {
"child_dep": {
"type": "string"
}
},
"dependencies": {
"trigger": [
"child_dep"
]
}
}
},
"dependencies": {
"trigger": [
"child_dep"
]
}
}
}
]
},
"tests": [
{
@ -228,33 +258,43 @@
{
"description": "merging: form and display do NOT merge",
"database": {
"schemas": {
"base_3": {
"properties": {
"a": {
"type": "string"
},
"b": {
"type": "string"
"types": [
{
"name": "base_3",
"schemas": {
"base_3": {
"properties": {
"a": {
"type": "string"
},
"b": {
"type": "string"
}
},
"form": [
"a",
"b"
]
}
},
"form": [
"a",
"b"
]
}
},
"merge_3_0": {
"type": "base_3",
"properties": {
"c": {
"type": "string"
{
"name": "merge_3_0",
"schemas": {
"merge_3_0": {
"type": "base_3",
"properties": {
"c": {
"type": "string"
}
},
"form": [
"c"
]
}
},
"form": [
"c"
]
}
}
}
]
},
"tests": [
{

File diff suppressed because it is too large Load Diff

View File

@ -2,12 +2,17 @@
{
"description": "minContains without contains is ignored",
"database": {
"schemas": {
"minContains_0_0": {
"minContains": 1,
"extensible": true
"types": [
{
"name": "minContains_0_0",
"schemas": {
"minContains_0_0": {
"minContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -35,15 +40,20 @@
{
"description": "minContains=1 with contains",
"database": {
"schemas": {
"minContains_1_0": {
"contains": {
"const": 1
},
"minContains": 1,
"extensible": true
"types": [
{
"name": "minContains_1_0",
"schemas": {
"minContains_1_0": {
"contains": {
"const": 1
},
"minContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -106,15 +116,20 @@
{
"description": "minContains=2 with contains",
"database": {
"schemas": {
"minContains_2_0": {
"contains": {
"const": 1
},
"minContains": 2,
"extensible": true
"types": [
{
"name": "minContains_2_0",
"schemas": {
"minContains_2_0": {
"contains": {
"const": 1
},
"minContains": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -192,15 +207,20 @@
{
"description": "minContains=2 with contains with a decimal value",
"database": {
"schemas": {
"minContains_3_0": {
"contains": {
"const": 1
},
"minContains": 2,
"extensible": true
"types": [
{
"name": "minContains_3_0",
"schemas": {
"minContains_3_0": {
"contains": {
"const": 1
},
"minContains": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -231,16 +251,21 @@
{
"description": "maxContains = minContains",
"database": {
"schemas": {
"minContains_4_0": {
"contains": {
"const": 1
},
"maxContains": 2,
"minContains": 2,
"extensible": true
"types": [
{
"name": "minContains_4_0",
"schemas": {
"minContains_4_0": {
"contains": {
"const": 1
},
"maxContains": 2,
"minContains": 2,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -293,16 +318,21 @@
{
"description": "maxContains < minContains",
"database": {
"schemas": {
"minContains_5_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"minContains": 3,
"extensible": true
"types": [
{
"name": "minContains_5_0",
"schemas": {
"minContains_5_0": {
"contains": {
"const": 1
},
"maxContains": 1,
"minContains": 3,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -355,15 +385,20 @@
{
"description": "minContains = 0",
"database": {
"schemas": {
"minContains_6_0": {
"contains": {
"const": 1
},
"minContains": 0,
"extensible": true
"types": [
{
"name": "minContains_6_0",
"schemas": {
"minContains_6_0": {
"contains": {
"const": 1
},
"minContains": 0,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -391,16 +426,21 @@
{
"description": "minContains = 0 with maxContains",
"database": {
"schemas": {
"minContains_7_0": {
"contains": {
"const": 1
},
"minContains": 0,
"maxContains": 1,
"extensible": true
"types": [
{
"name": "minContains_7_0",
"schemas": {
"minContains_7_0": {
"contains": {
"const": 1
},
"minContains": 0,
"maxContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -440,15 +480,20 @@
{
"description": "extensible: true allows non-matching items in minContains",
"database": {
"schemas": {
"minContains_8_0": {
"contains": {
"const": 1
},
"minContains": 1,
"extensible": true
"types": [
{
"name": "minContains_8_0",
"schemas": {
"minContains_8_0": {
"contains": {
"const": 1
},
"minContains": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "minItems validation",
"database": {
"schemas": {
"minItems_0_0": {
"minItems": 1,
"extensible": true
"types": [
{
"name": "minItems_0_0",
"schemas": {
"minItems_0_0": {
"minItems": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -56,12 +61,17 @@
{
"description": "minItems validation with a decimal",
"database": {
"schemas": {
"minItems_1_0": {
"minItems": 1,
"extensible": true
"types": [
{
"name": "minItems_1_0",
"schemas": {
"minItems_1_0": {
"minItems": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -90,12 +100,17 @@
{
"description": "extensible: true allows extra items in minItems",
"database": {
"schemas": {
"minItems_2_0": {
"minItems": 1,
"extensible": true
"types": [
{
"name": "minItems_2_0",
"schemas": {
"minItems_2_0": {
"minItems": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "minLength validation",
"database": {
"schemas": {
"minLength_0_0": {
"minLength": 2
"types": [
{
"name": "minLength_0_0",
"schemas": {
"minLength_0_0": {
"minLength": 2
}
}
}
}
]
},
"tests": [
{
@ -47,7 +52,7 @@
},
{
"description": "one grapheme is not long enough",
"data": "💩",
"data": "\ud83d\udca9",
"schema_id": "minLength_0_0",
"action": "validate",
"expect": {
@ -59,11 +64,16 @@
{
"description": "minLength validation with a decimal",
"database": {
"schemas": {
"minLength_1_0": {
"minLength": 2
"types": [
{
"name": "minLength_1_0",
"schemas": {
"minLength_1_0": {
"minLength": 2
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "minProperties validation",
"database": {
"schemas": {
"minProperties_0_0": {
"minProperties": 1,
"extensible": true
"types": [
{
"name": "minProperties_0_0",
"schemas": {
"minProperties_0_0": {
"minProperties": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -74,12 +79,17 @@
{
"description": "minProperties validation with a decimal",
"database": {
"schemas": {
"minProperties_1_0": {
"minProperties": 1,
"extensible": true
"types": [
{
"name": "minProperties_1_0",
"schemas": {
"minProperties_1_0": {
"minProperties": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -108,12 +118,17 @@
{
"description": "extensible: true allows extra properties in minProperties",
"database": {
"schemas": {
"minProperties_2_0": {
"minProperties": 1,
"extensible": true
"types": [
{
"name": "minProperties_2_0",
"schemas": {
"minProperties_2_0": {
"minProperties": 1,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "minimum validation",
"database": {
"schemas": {
"minimum_0_0": {
"minimum": 1.1
"types": [
{
"name": "minimum_0_0",
"schemas": {
"minimum_0_0": {
"minimum": 1.1
}
}
}
}
]
},
"tests": [
{
@ -50,11 +55,16 @@
{
"description": "minimum validation with signed integer",
"database": {
"schemas": {
"minimum_1_0": {
"minimum": -2
"types": [
{
"name": "minimum_1_0",
"schemas": {
"minimum_1_0": {
"minimum": -2
}
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "by int",
"database": {
"schemas": {
"multipleOf_0_0": {
"multipleOf": 2
"types": [
{
"name": "multipleOf_0_0",
"schemas": {
"multipleOf_0_0": {
"multipleOf": 2
}
}
}
}
]
},
"tests": [
{
@ -41,11 +46,16 @@
{
"description": "by number",
"database": {
"schemas": {
"multipleOf_1_0": {
"multipleOf": 1.5
"types": [
{
"name": "multipleOf_1_0",
"schemas": {
"multipleOf_1_0": {
"multipleOf": 1.5
}
}
}
}
]
},
"tests": [
{
@ -80,11 +90,16 @@
{
"description": "by small number",
"database": {
"schemas": {
"multipleOf_2_0": {
"multipleOf": 0.0001
"types": [
{
"name": "multipleOf_2_0",
"schemas": {
"multipleOf_2_0": {
"multipleOf": 0.0001
}
}
}
}
]
},
"tests": [
{
@ -110,12 +125,17 @@
{
"description": "small multiple of large integer",
"database": {
"schemas": {
"multipleOf_3_0": {
"type": "integer",
"multipleOf": 1e-08
"types": [
{
"name": "multipleOf_3_0",
"schemas": {
"multipleOf_3_0": {
"type": "integer",
"multipleOf": 1e-08
}
}
}
}
]
},
"tests": [
{

View File

@ -2,13 +2,18 @@
{
"description": "not",
"database": {
"schemas": {
"not_0_0": {
"not": {
"type": "integer"
"types": [
{
"name": "not_0_0",
"schemas": {
"not_0_0": {
"not": {
"type": "integer"
}
}
}
}
}
]
},
"tests": [
{
@ -34,16 +39,21 @@
{
"description": "not multiple types",
"database": {
"schemas": {
"not_1_0": {
"not": {
"type": [
"integer",
"boolean"
]
"types": [
{
"name": "not_1_0",
"schemas": {
"not_1_0": {
"not": {
"type": [
"integer",
"boolean"
]
}
}
}
}
}
]
},
"tests": [
{
@ -78,19 +88,24 @@
{
"description": "not more complex schema",
"database": {
"schemas": {
"not_2_0": {
"not": {
"type": "object",
"properties": {
"foo": {
"type": "string"
}
"types": [
{
"name": "not_2_0",
"schemas": {
"not_2_0": {
"not": {
"type": "object",
"properties": {
"foo": {
"type": "string"
}
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{
@ -129,15 +144,20 @@
{
"description": "forbidden property",
"database": {
"schemas": {
"not_3_0": {
"properties": {
"foo": {
"not": {}
"types": [
{
"name": "not_3_0",
"schemas": {
"not_3_0": {
"properties": {
"foo": {
"not": {}
}
}
}
}
}
}
]
},
"tests": [
{
@ -166,11 +186,16 @@
{
"description": "forbid everything with empty schema",
"database": {
"schemas": {
"not_4_0": {
"not": {}
"types": [
{
"name": "not_4_0",
"schemas": {
"not_4_0": {
"not": {}
}
}
}
}
]
},
"tests": [
{
@ -263,11 +288,16 @@
{
"description": "forbid everything with boolean schema true",
"database": {
"schemas": {
"not_5_0": {
"not": true
"types": [
{
"name": "not_5_0",
"schemas": {
"not_5_0": {
"not": true
}
}
}
}
]
},
"tests": [
{
@ -360,12 +390,17 @@
{
"description": "allow everything with boolean schema false",
"database": {
"schemas": {
"not_6_0": {
"not": false,
"extensible": true
"types": [
{
"name": "not_6_0",
"schemas": {
"not_6_0": {
"not": false,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -458,13 +493,18 @@
{
"description": "double negation",
"database": {
"schemas": {
"not_7_0": {
"not": {
"not": {}
"types": [
{
"name": "not_7_0",
"schemas": {
"not_7_0": {
"not": {
"not": {}
}
}
}
}
}
]
},
"tests": [
{
@ -481,14 +521,19 @@
{
"description": "extensible: true allows extra properties in not",
"database": {
"schemas": {
"not_8_0": {
"not": {
"type": "integer"
},
"extensible": true
"types": [
{
"name": "not_8_0",
"schemas": {
"not_8_0": {
"not": {
"type": "integer"
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -507,13 +552,18 @@
{
"description": "extensible: false (default) forbids extra properties in not",
"database": {
"schemas": {
"not_9_0": {
"not": {
"type": "integer"
"types": [
{
"name": "not_9_0",
"schemas": {
"not_9_0": {
"not": {
"type": "integer"
}
}
}
}
}
]
},
"tests": [
{
@ -532,19 +582,24 @@
{
"description": "property next to not (extensible: true)",
"database": {
"schemas": {
"not_10_0": {
"properties": {
"bar": {
"type": "string"
"types": [
{
"name": "not_10_0",
"schemas": {
"not_10_0": {
"properties": {
"bar": {
"type": "string"
}
},
"not": {
"type": "integer"
},
"extensible": true
}
},
"not": {
"type": "integer"
},
"extensible": true
}
}
}
]
},
"tests": [
{
@ -564,18 +619,23 @@
{
"description": "property next to not (extensible: false)",
"database": {
"schemas": {
"not_11_0": {
"properties": {
"bar": {
"type": "string"
"types": [
{
"name": "not_11_0",
"schemas": {
"not_11_0": {
"properties": {
"bar": {
"type": "string"
}
},
"not": {
"type": "integer"
}
}
},
"not": {
"type": "integer"
}
}
}
]
},
"tests": [
{

View File

@ -2,27 +2,37 @@
{
"description": "Strict Inheritance",
"database": {
"schemas": {
"parent_type": {
"type": "object",
"properties": {
"a": {
"type": "integer"
"types": [
{
"name": "parent_type",
"schemas": {
"parent_type": {
"type": "object",
"properties": {
"a": {
"type": "integer"
}
},
"required": [
"a"
]
}
},
"required": [
"a"
]
}
},
"child_type": {
"type": "parent_type",
"properties": {
"b": {
"type": "integer"
{
"name": "child_type",
"schemas": {
"child_type": {
"type": "parent_type",
"properties": {
"b": {
"type": "integer"
}
}
}
}
}
}
]
},
"tests": [
{
@ -66,26 +76,36 @@
{
"description": "Local Shadowing (Composition & Proxies)",
"database": {
"schemas": {
"budget": {
"type": "object",
"properties": {
"max": {
"type": "integer",
"maximum": 100
"types": [
{
"name": "budget",
"schemas": {
"budget": {
"type": "object",
"properties": {
"max": {
"type": "integer",
"maximum": 100
}
}
}
}
},
"custom_budget": {
"type": "budget",
"properties": {
"max": {
"type": "integer",
"maximum": 50
{
"name": "custom_budget",
"schemas": {
"custom_budget": {
"type": "budget",
"properties": {
"max": {
"type": "integer",
"maximum": 50
}
}
}
}
}
}
]
},
"tests": [
{
@ -115,30 +135,40 @@
{
"description": "Primitive Array Shorthand (Optionality)",
"database": {
"schemas": {
"invoice": {
"type": "object",
"properties": {
"amount": {
"type": "integer"
}
},
"required": [
"amount"
]
},
"request": {
"type": "object",
"properties": {
"inv": {
"type": [
"invoice",
"null"
"types": [
{
"name": "invoice",
"schemas": {
"invoice": {
"type": "object",
"properties": {
"amount": {
"type": "integer"
}
},
"required": [
"amount"
]
}
}
},
{
"name": "request",
"schemas": {
"request": {
"type": "object",
"properties": {
"inv": {
"type": [
"invoice",
"null"
]
}
}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,63 +2,68 @@
{
"description": "Hybrid Array Pathing",
"database": {
"schemas": {
"hybrid_pathing": {
"type": "object",
"properties": {
"primitives": {
"type": "array",
"items": {
"type": "string"
}
},
"ad_hoc_objects": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"types": [
{
"name": "hybrid_pathing",
"schemas": {
"hybrid_pathing": {
"type": "object",
"properties": {
"primitives": {
"type": "array",
"items": {
"type": "string"
}
},
"required": [
"name"
]
}
},
"entities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"value": {
"type": "number",
"minimum": 10
"ad_hoc_objects": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
}
},
"required": [
"name"
]
}
}
}
},
"deep_entities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"nested": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"flag": {
"type": "boolean"
},
"entities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"value": {
"type": "number",
"minimum": 10
}
}
}
},
"deep_entities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"nested": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"flag": {
"type": "boolean"
}
}
}
}
}
@ -68,7 +73,7 @@
}
}
}
}
]
},
"tests": [
{
@ -227,26 +232,31 @@
{
"description": "Ad-Hoc Union Pathing",
"database": {
"schemas": {
"ad_hoc_pathing": {
"type": "object",
"properties": {
"metadata_bubbles": {
"type": "array",
"items": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
"types": [
{
"name": "ad_hoc_pathing",
"schemas": {
"ad_hoc_pathing": {
"type": "object",
"properties": {
"metadata_bubbles": {
"type": "array",
"items": {
"oneOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
}
]
}
}
}
}
}
}
]
},
"tests": [
{
@ -277,9 +287,22 @@
{
"description": "Polymorphic Family Pathing",
"database": {
"relations": [
{
"id": "11111111-1111-1111-1111-111111111111",
"type": "relation",
"constraint": "fk_family_pathing_table_families_widget",
"source_type": "widget",
"source_columns": ["family_pathing_id"],
"destination_type": "family_pathing",
"destination_columns": ["id"],
"prefix": "table_families"
}
],
"types": [
{
"name": "widget",
"hierarchy": ["widget"],
"variations": [
"widget"
],
@ -322,24 +345,27 @@
]
}
}
}
],
"schemas": {
"family_pathing": {
"type": "object",
"properties": {
"table_families": {
"type": "array",
"items": {
"$family": "widget"
},
{
"name": "family_pathing",
"hierarchy": ["family_pathing"],
"schemas": {
"family_pathing": {
"type": "object",
"properties": {
"table_families": {
"type": "array",
"items": {
"family": "widget"
}
}
}
}
}
}
}
]
},
"tests": [
{
"description": "families mechanically map physical variants directly onto topological uuid array paths",
"data": {

View File

@ -2,11 +2,16 @@
{
"description": "pattern validation",
"database": {
"schemas": {
"pattern_0_0": {
"pattern": "^a*$"
"types": [
{
"name": "pattern_0_0",
"schemas": {
"pattern_0_0": {
"pattern": "^a*$"
}
}
}
}
]
},
"tests": [
{
@ -86,11 +91,16 @@
{
"description": "pattern is not anchored",
"database": {
"schemas": {
"pattern_1_0": {
"pattern": "a+"
"types": [
{
"name": "pattern_1_0",
"schemas": {
"pattern_1_0": {
"pattern": "a+"
}
}
}
}
]
},
"tests": [
{

View File

@ -2,16 +2,21 @@
{
"description": "patternProperties validates properties matching a regex",
"database": {
"schemas": {
"patternProperties_0_0": {
"patternProperties": {
"f.*o": {
"type": "integer"
"types": [
{
"name": "patternProperties_0_0",
"schemas": {
"patternProperties_0_0": {
"patternProperties": {
"f.*o": {
"type": "integer"
}
},
"items": {}
}
},
"items": {}
}
}
}
]
},
"tests": [
{
@ -107,18 +112,23 @@
{
"description": "multiple simultaneous patternProperties are validated",
"database": {
"schemas": {
"patternProperties_1_0": {
"patternProperties": {
"a*": {
"type": "integer"
},
"aaa*": {
"maximum": 20
"types": [
{
"name": "patternProperties_1_0",
"schemas": {
"patternProperties_1_0": {
"patternProperties": {
"a*": {
"type": "integer"
},
"aaa*": {
"maximum": 20
}
}
}
}
}
}
]
},
"tests": [
{
@ -194,19 +204,24 @@
{
"description": "regexes are not anchored by default and are case sensitive",
"database": {
"schemas": {
"patternProperties_2_0": {
"patternProperties": {
"[0-9]{2,}": {
"type": "boolean"
},
"X_": {
"type": "string"
"types": [
{
"name": "patternProperties_2_0",
"schemas": {
"patternProperties_2_0": {
"patternProperties": {
"[0-9]{2,}": {
"type": "boolean"
},
"X_": {
"type": "string"
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{
@ -258,14 +273,19 @@
{
"description": "patternProperties with boolean schemas",
"database": {
"schemas": {
"patternProperties_3_0": {
"patternProperties": {
"f.*": true,
"b.*": false
"types": [
{
"name": "patternProperties_3_0",
"schemas": {
"patternProperties_3_0": {
"patternProperties": {
"f.*": true,
"b.*": false
}
}
}
}
}
]
},
"tests": [
{
@ -327,15 +347,20 @@
{
"description": "patternProperties with null valued instance properties",
"database": {
"schemas": {
"patternProperties_4_0": {
"patternProperties": {
"^.*bar$": {
"type": "null"
"types": [
{
"name": "patternProperties_4_0",
"schemas": {
"patternProperties_4_0": {
"patternProperties": {
"^.*bar$": {
"type": "null"
}
}
}
}
}
}
]
},
"tests": [
{
@ -354,16 +379,21 @@
{
"description": "extensible: true allows extra properties NOT matching pattern",
"database": {
"schemas": {
"patternProperties_5_0": {
"patternProperties": {
"f.*o": {
"type": "integer"
"types": [
{
"name": "patternProperties_5_0",
"schemas": {
"patternProperties_5_0": {
"patternProperties": {
"f.*o": {
"type": "integer"
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{

View File

@ -1,6 +1,6 @@
[
{
"description": "Vertical $family Routing (Across Tables)",
"description": "Vertical family Routing (Across Tables)",
"database": {
"types": [
{
@ -73,13 +73,16 @@
}
}
}
},
{
"name": "family_entity",
"schemas": {
"family_entity": {
"family": "entity"
}
}
}
],
"schemas": {
"family_entity": {
"$family": "entity"
}
}
]
},
"tests": [
{
@ -150,7 +153,7 @@
]
},
{
"description": "Matrix $family Routing (Vertical + Horizontal Intersections)",
"description": "Matrix family Routing (Vertical + Horizontal Intersections)",
"database": {
"types": [
{
@ -222,13 +225,16 @@
"type": "light.entity"
}
}
},
{
"name": "family_light_org",
"schemas": {
"family_light_org": {
"family": "light.organization"
}
}
}
],
"schemas": {
"family_light_org": {
"$family": "light.organization"
}
}
]
},
"tests": [
{
@ -278,7 +284,7 @@
]
},
{
"description": "Horizontal $family Routing (Virtual Variations)",
"description": "Horizontal family Routing (Virtual Variations)",
"database": {
"types": [
{
@ -315,16 +321,24 @@
}
}
}
}
],
"schemas": {
"family_widget": {
"$family": "widget"
},
"family_stock_widget": {
"$family": "stock.widget"
{
"name": "family_widget",
"schemas": {
"family_widget": {
"family": "widget"
}
}
},
{
"name": "family_stock_widget",
"schemas": {
"family_stock_widget": {
"family": "stock.widget"
}
}
}
}
]
},
"tests": [
{
@ -463,20 +477,23 @@
]
}
}
}
],
"schemas": {
"oneOf_union": {
"oneOf": [
{
"type": "full.person"
},
{
"type": "full.bot"
},
{
"name": "oneOf_union",
"schemas": {
"oneOf_union": {
"oneOf": [
{
"type": "full.person"
},
{
"type": "full.bot"
}
]
}
]
}
}
}
]
},
"tests": [
{
@ -559,48 +576,58 @@
{
"description": "JSONB Field Bubble oneOf Discrimination (Promoted IDs)",
"database": {
"schemas": {
"metadata": {
"type": "object",
"properties": {
"type": {
"type": "string"
"types": [
{
"name": "metadata",
"schemas": {
"metadata": {
"type": "object",
"properties": {
"type": {
"type": "string"
}
}
},
"invoice.metadata": {
"type": "metadata",
"properties": {
"invoice_id": {
"type": "integer"
}
},
"required": [
"invoice_id"
]
},
"payment.metadata": {
"type": "metadata",
"properties": {
"payment_id": {
"type": "integer"
}
},
"required": [
"payment_id"
]
}
}
},
"invoice.metadata": {
"type": "metadata",
"properties": {
"invoice_id": {
"type": "integer"
{
"name": "oneOf_bubble",
"schemas": {
"oneOf_bubble": {
"oneOf": [
{
"type": "invoice.metadata"
},
{
"type": "payment.metadata"
}
]
}
},
"required": [
"invoice_id"
]
},
"payment.metadata": {
"type": "metadata",
"properties": {
"payment_id": {
"type": "integer"
}
},
"required": [
"payment_id"
]
},
"oneOf_bubble": {
"oneOf": [
{
"type": "invoice.metadata"
},
{
"type": "payment.metadata"
}
]
}
}
}
]
},
"tests": [
{
@ -636,5 +663,118 @@
}
}
]
},
{
"description": "STI Projections (Lacking Kind Discriminator Definitions)",
"database": {
"types": [
{
"name": "widget",
"variations": [
"widget"
],
"schemas": {
"widget": {
"type": "object",
"properties": {
"type": {
"type": "string"
}
}
},
"stock.widget": {
"type": "widget",
"properties": {
"kind": {
"type": "string"
},
"amount": {
"type": "integer"
}
}
},
"projected.widget": {
"type": "widget",
"properties": {
"alias": {
"type": "string"
}
}
}
}
},
{
"name": "stock_widget_validation",
"schemas": {
"stock_widget_validation": {
"type": "stock.widget"
}
}
},
{
"name": "projected_widget_validation",
"schemas": {
"projected_widget_validation": {
"type": "projected.widget"
}
}
}
]
},
"tests": [
{
"description": "stock.widget securely expects kind when configured",
"schema_id": "stock_widget_validation",
"data": {
"type": "widget",
"amount": 5
},
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "MISSING_KIND",
"details": {
"path": ""
}
}
]
}
},
{
"description": "projected.widget seamlessly bypasses kind expectation when excluded from schema",
"schema_id": "projected_widget_validation",
"data": {
"type": "widget",
"alias": "Test Projection"
},
"action": "validate",
"expect": {
"success": true
}
},
{
"description": "projected.widget securely fails if user erroneously provides extra kind property",
"schema_id": "projected_widget_validation",
"data": {
"type": "widget",
"alias": "Test Projection",
"kind": "projected"
},
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "STRICT_PROPERTY_VIOLATION",
"details": {
"path": "kind"
}
}
]
}
}
]
}
]

View File

@ -2,18 +2,23 @@
{
"description": "a schema given for prefixItems",
"database": {
"schemas": {
"prefixItems_0_0": {
"prefixItems": [
{
"type": "integer"
},
{
"type": "string"
"types": [
{
"name": "prefixItems_0_0",
"schemas": {
"prefixItems_0_0": {
"prefixItems": [
{
"type": "integer"
},
{
"type": "string"
}
]
}
]
}
}
}
]
},
"tests": [
{
@ -91,14 +96,19 @@
{
"description": "prefixItems with boolean schemas",
"database": {
"schemas": {
"prefixItems_1_0": {
"prefixItems": [
true,
false
]
"types": [
{
"name": "prefixItems_1_0",
"schemas": {
"prefixItems_1_0": {
"prefixItems": [
true,
false
]
}
}
}
}
]
},
"tests": [
{
@ -138,16 +148,21 @@
{
"description": "additional items are allowed by default",
"database": {
"schemas": {
"prefixItems_2_0": {
"prefixItems": [
{
"type": "integer"
"types": [
{
"name": "prefixItems_2_0",
"schemas": {
"prefixItems_2_0": {
"prefixItems": [
{
"type": "integer"
}
],
"extensible": true
}
],
"extensible": true
}
}
}
]
},
"tests": [
{
@ -168,15 +183,20 @@
{
"description": "prefixItems with null instance elements",
"database": {
"schemas": {
"prefixItems_3_0": {
"prefixItems": [
{
"type": "null"
"types": [
{
"name": "prefixItems_3_0",
"schemas": {
"prefixItems_3_0": {
"prefixItems": [
{
"type": "null"
}
]
}
]
}
}
}
]
},
"tests": [
{
@ -195,16 +215,21 @@
{
"description": "extensible: true allows extra items with prefixItems",
"database": {
"schemas": {
"prefixItems_4_0": {
"prefixItems": [
{
"type": "integer"
"types": [
{
"name": "prefixItems_4_0",
"schemas": {
"prefixItems_4_0": {
"prefixItems": [
{
"type": "integer"
}
],
"extensible": true
}
],
"extensible": true
}
}
}
]
},
"tests": [
{

View File

@ -2,11 +2,16 @@
{
"description": "integer type matches integers",
"database": {
"schemas": {
"type_0_0": {
"type": "integer"
"types": [
{
"name": "type_0_0",
"schemas": {
"type_0_0": {
"type": "integer"
}
}
}
}
]
},
"tests": [
{
@ -95,11 +100,16 @@
{
"description": "number type matches numbers",
"database": {
"schemas": {
"type_1_0": {
"type": "number"
"types": [
{
"name": "type_1_0",
"schemas": {
"type_1_0": {
"type": "number"
}
}
}
}
]
},
"tests": [
{
@ -188,11 +198,16 @@
{
"description": "string type matches strings",
"database": {
"schemas": {
"type_2_0": {
"type": "string"
"types": [
{
"name": "type_2_0",
"schemas": {
"type_2_0": {
"type": "string"
}
}
}
}
]
},
"tests": [
{
@ -281,11 +296,16 @@
{
"description": "object type matches objects",
"database": {
"schemas": {
"type_3_0": {
"type": "object"
"types": [
{
"name": "type_3_0",
"schemas": {
"type_3_0": {
"type": "object"
}
}
}
}
]
},
"tests": [
{
@ -356,11 +376,16 @@
{
"description": "array type matches arrays",
"database": {
"schemas": {
"type_4_0": {
"type": "array"
"types": [
{
"name": "type_4_0",
"schemas": {
"type_4_0": {
"type": "array"
}
}
}
}
]
},
"tests": [
{
@ -431,11 +456,16 @@
{
"description": "boolean type matches booleans",
"database": {
"schemas": {
"type_5_0": {
"type": "boolean"
"types": [
{
"name": "type_5_0",
"schemas": {
"type_5_0": {
"type": "boolean"
}
}
}
}
]
},
"tests": [
{
@ -533,11 +563,16 @@
{
"description": "null type matches only the null object",
"database": {
"schemas": {
"type_6_0": {
"type": "null"
"types": [
{
"name": "type_6_0",
"schemas": {
"type_6_0": {
"type": "null"
}
}
}
}
]
},
"tests": [
{
@ -635,14 +670,19 @@
{
"description": "multiple types can be specified in an array",
"database": {
"schemas": {
"type_7_0": {
"type": [
"integer",
"string"
]
"types": [
{
"name": "type_7_0",
"schemas": {
"type_7_0": {
"type": [
"integer",
"string"
]
}
}
}
}
]
},
"tests": [
{
@ -713,13 +753,18 @@
{
"description": "type as array with one item",
"database": {
"schemas": {
"type_8_0": {
"type": [
"string"
]
"types": [
{
"name": "type_8_0",
"schemas": {
"type_8_0": {
"type": [
"string"
]
}
}
}
}
]
},
"tests": [
{
@ -745,15 +790,20 @@
{
"description": "type: array or object",
"database": {
"schemas": {
"type_9_0": {
"type": [
"array",
"object"
],
"items": {}
"types": [
{
"name": "type_9_0",
"schemas": {
"type_9_0": {
"type": [
"array",
"object"
],
"items": {}
}
}
}
}
]
},
"tests": [
{
@ -810,16 +860,21 @@
{
"description": "type: array, object or null",
"database": {
"schemas": {
"type_10_0": {
"type": [
"array",
"object",
"null"
],
"items": {}
"types": [
{
"name": "type_10_0",
"schemas": {
"type_10_0": {
"type": [
"array",
"object",
"null"
],
"items": {}
}
}
}
}
]
},
"tests": [
{
@ -876,12 +931,17 @@
{
"description": "extensible: true allows extra properties",
"database": {
"schemas": {
"type_11_0": {
"type": "object",
"extensible": true
"types": [
{
"name": "type_11_0",
"schemas": {
"type_11_0": {
"type": "object",
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,18 +2,23 @@
{
"description": "object properties validation",
"database": {
"schemas": {
"properties_0_0": {
"properties": {
"foo": {
"type": "integer"
},
"bar": {
"type": "string"
"types": [
{
"name": "properties_0_0",
"schemas": {
"properties_0_0": {
"properties": {
"foo": {
"type": "integer"
},
"bar": {
"type": "string"
}
}
}
}
}
}
]
},
"tests": [
{
@ -84,14 +89,19 @@
{
"description": "properties with boolean schema",
"database": {
"schemas": {
"properties_1_0": {
"properties": {
"foo": true,
"bar": false
"types": [
{
"name": "properties_1_0",
"schemas": {
"properties_1_0": {
"properties": {
"foo": true,
"bar": false
}
}
}
}
}
]
},
"tests": [
{
@ -142,30 +152,35 @@
{
"description": "properties with escaped characters",
"database": {
"schemas": {
"properties_2_0": {
"properties": {
"foo\nbar": {
"type": "number"
},
"foo\"bar": {
"type": "number"
},
"foo\\bar": {
"type": "number"
},
"foo\rbar": {
"type": "number"
},
"foo\tbar": {
"type": "number"
},
"foo\fbar": {
"type": "number"
"types": [
{
"name": "properties_2_0",
"schemas": {
"properties_2_0": {
"properties": {
"foo\nbar": {
"type": "number"
},
"foo\"bar": {
"type": "number"
},
"foo\\bar": {
"type": "number"
},
"foo\rbar": {
"type": "number"
},
"foo\tbar": {
"type": "number"
},
"foo\fbar": {
"type": "number"
}
}
}
}
}
}
]
},
"tests": [
{
@ -205,15 +220,20 @@
{
"description": "properties with null valued instance properties",
"database": {
"schemas": {
"properties_3_0": {
"properties": {
"foo": {
"type": "null"
"types": [
{
"name": "properties_3_0",
"schemas": {
"properties_3_0": {
"properties": {
"foo": {
"type": "null"
}
}
}
}
}
}
]
},
"tests": [
{
@ -233,25 +253,30 @@
"description": "properties whose names are Javascript object property names",
"comment": "Ensure JS implementations don't universally consider e.g. __proto__ to always be present in an object.",
"database": {
"schemas": {
"properties_4_0": {
"properties": {
"__proto__": {
"type": "number"
},
"toString": {
"types": [
{
"name": "properties_4_0",
"schemas": {
"properties_4_0": {
"properties": {
"length": {
"type": "string"
"__proto__": {
"type": "number"
},
"toString": {
"properties": {
"length": {
"type": "string"
}
}
},
"constructor": {
"type": "number"
}
}
},
"constructor": {
"type": "number"
}
}
}
}
]
},
"tests": [
{
@ -338,16 +363,21 @@
{
"description": "extensible: true allows extra properties",
"database": {
"schemas": {
"properties_5_0": {
"properties": {
"foo": {
"type": "integer"
"types": [
{
"name": "properties_5_0",
"schemas": {
"properties_5_0": {
"properties": {
"foo": {
"type": "integer"
}
},
"extensible": true
}
},
"extensible": true
}
}
}
]
},
"tests": [
{
@ -367,15 +397,20 @@
{
"description": "strict by default: extra properties invalid",
"database": {
"schemas": {
"properties_6_0": {
"properties": {
"foo": {
"type": "string"
"types": [
{
"name": "properties_6_0",
"schemas": {
"properties_6_0": {
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
]
},
"tests": [
{
@ -395,19 +430,24 @@
{
"description": "inheritance: nested object inherits strictness from strict parent",
"database": {
"schemas": {
"properties_7_0": {
"properties": {
"nested": {
"types": [
{
"name": "properties_7_0",
"schemas": {
"properties_7_0": {
"properties": {
"foo": {
"type": "string"
"nested": {
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -429,20 +469,25 @@
{
"description": "override: nested object allows extra properties if extensible: true",
"database": {
"schemas": {
"properties_8_0": {
"properties": {
"nested": {
"extensible": true,
"types": [
{
"name": "properties_8_0",
"schemas": {
"properties_8_0": {
"properties": {
"foo": {
"type": "string"
"nested": {
"extensible": true,
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -464,20 +509,25 @@
{
"description": "inheritance: nested object inherits looseness from loose parent",
"database": {
"schemas": {
"properties_9_0": {
"extensible": true,
"properties": {
"nested": {
"types": [
{
"name": "properties_9_0",
"schemas": {
"properties_9_0": {
"extensible": true,
"properties": {
"foo": {
"type": "string"
"nested": {
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -499,21 +549,26 @@
{
"description": "override: nested object enforces strictness if extensible: false",
"database": {
"schemas": {
"properties_10_0": {
"extensible": true,
"properties": {
"nested": {
"extensible": false,
"types": [
{
"name": "properties_10_0",
"schemas": {
"properties_10_0": {
"extensible": true,
"properties": {
"foo": {
"type": "string"
"nested": {
"extensible": false,
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -535,22 +590,27 @@
{
"description": "arrays: inline items inherit strictness from strict parent",
"database": {
"schemas": {
"properties_11_0": {
"properties": {
"list": {
"type": "array",
"items": {
"properties": {
"foo": {
"type": "string"
"types": [
{
"name": "properties_11_0",
"schemas": {
"properties_11_0": {
"properties": {
"list": {
"type": "array",
"items": {
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
}
]
},
"tests": [
{
@ -574,23 +634,28 @@
{
"description": "arrays: inline items inherit looseness from loose parent",
"database": {
"schemas": {
"properties_12_0": {
"extensible": true,
"properties": {
"list": {
"type": "array",
"items": {
"properties": {
"foo": {
"type": "string"
"types": [
{
"name": "properties_12_0",
"schemas": {
"properties_12_0": {
"extensible": true,
"properties": {
"list": {
"type": "array",
"items": {
"properties": {
"foo": {
"type": "string"
}
}
}
}
}
}
}
}
}
]
},
"tests": [
{

View File

@ -2,14 +2,19 @@
{
"description": "propertyNames validation",
"database": {
"schemas": {
"propertyNames_0_0": {
"propertyNames": {
"maxLength": 3
},
"extensible": true
"types": [
{
"name": "propertyNames_0_0",
"schemas": {
"propertyNames_0_0": {
"propertyNames": {
"maxLength": 3
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -82,14 +87,19 @@
{
"description": "propertyNames validation with pattern",
"database": {
"schemas": {
"propertyNames_1_0": {
"propertyNames": {
"pattern": "^a+$"
},
"extensible": true
"types": [
{
"name": "propertyNames_1_0",
"schemas": {
"propertyNames_1_0": {
"propertyNames": {
"pattern": "^a+$"
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -130,12 +140,17 @@
{
"description": "propertyNames with boolean schema true",
"database": {
"schemas": {
"propertyNames_2_0": {
"propertyNames": true,
"extensible": true
"types": [
{
"name": "propertyNames_2_0",
"schemas": {
"propertyNames_2_0": {
"propertyNames": true,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -163,12 +178,17 @@
{
"description": "propertyNames with boolean schema false",
"database": {
"schemas": {
"propertyNames_3_0": {
"propertyNames": false,
"extensible": true
"types": [
{
"name": "propertyNames_3_0",
"schemas": {
"propertyNames_3_0": {
"propertyNames": false,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -196,14 +216,19 @@
{
"description": "propertyNames with const",
"database": {
"schemas": {
"propertyNames_4_0": {
"propertyNames": {
"const": "foo"
},
"extensible": true
"types": [
{
"name": "propertyNames_4_0",
"schemas": {
"propertyNames_4_0": {
"propertyNames": {
"const": "foo"
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -242,17 +267,22 @@
{
"description": "propertyNames with enum",
"database": {
"schemas": {
"propertyNames_5_0": {
"propertyNames": {
"enum": [
"foo",
"bar"
]
},
"extensible": true
"types": [
{
"name": "propertyNames_5_0",
"schemas": {
"propertyNames_5_0": {
"propertyNames": {
"enum": [
"foo",
"bar"
]
},
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -303,14 +333,19 @@
{
"description": "extensible: true allows extra properties (checked by propertyNames)",
"database": {
"schemas": {
"propertyNames_6_0": {
"propertyNames": {
"maxLength": 3
},
"extensible": true
"types": [
{
"name": "propertyNames_6_0",
"schemas": {
"propertyNames_6_0": {
"propertyNames": {
"maxLength": 3
},
"extensible": true
}
}
}
}
]
},
"tests": [
{

File diff suppressed because it is too large Load Diff

View File

@ -2,17 +2,22 @@
{
"description": "required validation",
"database": {
"schemas": {
"required_0_0": {
"properties": {
"foo": {},
"bar": {}
},
"required": [
"foo"
]
"types": [
{
"name": "required_0_0",
"schemas": {
"required_0_0": {
"properties": {
"foo": {},
"bar": {}
},
"required": [
"foo"
]
}
}
}
}
]
},
"tests": [
{
@ -87,13 +92,18 @@
{
"description": "required default validation",
"database": {
"schemas": {
"required_1_0": {
"properties": {
"foo": {}
"types": [
{
"name": "required_1_0",
"schemas": {
"required_1_0": {
"properties": {
"foo": {}
}
}
}
}
}
]
},
"tests": [
{
@ -110,14 +120,19 @@
{
"description": "required with empty array",
"database": {
"schemas": {
"required_2_0": {
"properties": {
"foo": {}
},
"required": []
"types": [
{
"name": "required_2_0",
"schemas": {
"required_2_0": {
"properties": {
"foo": {}
},
"required": []
}
}
}
}
]
},
"tests": [
{
@ -134,19 +149,24 @@
{
"description": "required with escaped characters",
"database": {
"schemas": {
"required_3_0": {
"required": [
"foo\nbar",
"foo\"bar",
"foo\\bar",
"foo\rbar",
"foo\tbar",
"foo\fbar"
],
"extensible": true
"types": [
{
"name": "required_3_0",
"schemas": {
"required_3_0": {
"required": [
"foo\nbar",
"foo\"bar",
"foo\\bar",
"foo\rbar",
"foo\tbar",
"foo\fbar"
],
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -183,16 +203,21 @@
"description": "required properties whose names are Javascript object property names",
"comment": "Ensure JS implementations don't universally consider e.g. __proto__ to always be present in an object.",
"database": {
"schemas": {
"required_4_0": {
"required": [
"__proto__",
"toString",
"constructor"
],
"extensible": true
"types": [
{
"name": "required_4_0",
"schemas": {
"required_4_0": {
"required": [
"__proto__",
"toString",
"constructor"
],
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -279,14 +304,19 @@
{
"description": "extensible: true allows extra properties in required",
"database": {
"schemas": {
"required_5_0": {
"required": [
"foo"
],
"extensible": true
"types": [
{
"name": "required_5_0",
"schemas": {
"required_5_0": {
"required": [
"foo"
],
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -2,12 +2,17 @@
{
"description": "uniqueItems validation",
"database": {
"schemas": {
"uniqueItems_0_0": {
"uniqueItems": true,
"extensible": true
"types": [
{
"name": "uniqueItems_0_0",
"schemas": {
"uniqueItems_0_0": {
"uniqueItems": true,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -468,20 +473,25 @@
{
"description": "uniqueItems with an array of items",
"database": {
"schemas": {
"uniqueItems_1_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
"types": [
{
"name": "uniqueItems_1_0",
"schemas": {
"uniqueItems_1_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
}
],
"uniqueItems": true,
"extensible": true
}
],
"uniqueItems": true,
"extensible": true
}
}
}
]
},
"tests": [
{
@ -593,20 +603,25 @@
{
"description": "uniqueItems with an array of items and additionalItems=false",
"database": {
"schemas": {
"uniqueItems_2_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
"types": [
{
"name": "uniqueItems_2_0",
"schemas": {
"uniqueItems_2_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
}
],
"uniqueItems": true,
"items": false
}
],
"uniqueItems": true,
"items": false
}
}
}
]
},
"tests": [
{
@ -675,12 +690,17 @@
{
"description": "uniqueItems=false validation",
"database": {
"schemas": {
"uniqueItems_3_0": {
"uniqueItems": false,
"extensible": true
"types": [
{
"name": "uniqueItems_3_0",
"schemas": {
"uniqueItems_3_0": {
"uniqueItems": false,
"extensible": true
}
}
}
}
]
},
"tests": [
{
@ -920,20 +940,25 @@
{
"description": "uniqueItems=false with an array of items",
"database": {
"schemas": {
"uniqueItems_4_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
"types": [
{
"name": "uniqueItems_4_0",
"schemas": {
"uniqueItems_4_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
}
],
"uniqueItems": false,
"extensible": true
}
],
"uniqueItems": false,
"extensible": true
}
}
}
]
},
"tests": [
{
@ -1045,20 +1070,25 @@
{
"description": "uniqueItems=false with an array of items and additionalItems=false",
"database": {
"schemas": {
"uniqueItems_5_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
"types": [
{
"name": "uniqueItems_5_0",
"schemas": {
"uniqueItems_5_0": {
"prefixItems": [
{
"type": "boolean"
},
{
"type": "boolean"
}
],
"uniqueItems": false,
"items": false
}
],
"uniqueItems": false,
"items": false
}
}
}
]
},
"tests": [
{
@ -1127,12 +1157,17 @@
{
"description": "extensible: true allows extra items in uniqueItems",
"database": {
"schemas": {
"uniqueItems_6_0": {
"uniqueItems": true,
"extensible": true
"types": [
{
"name": "uniqueItems_6_0",
"schemas": {
"uniqueItems_6_0": {
"uniqueItems": true,
"extensible": true
}
}
}
}
]
},
"tests": [
{

View File

@ -0,0 +1,163 @@
use crate::database::schema::Schema;
use std::sync::Arc;
impl Schema {
#[allow(unused_variables)]
pub(crate) fn validate_identifier(
id: &str,
field_name: &str,
root_id: &str,
path: &str,
errors: &mut Vec<crate::drop::Error>,
) {
#[cfg(not(test))]
for c in id.chars() {
if !c.is_ascii_lowercase() && !c.is_ascii_digit() && c != '_' && c != '.' {
errors.push(crate::drop::Error {
code: "INVALID_IDENTIFIER".to_string(),
message: format!(
"Invalid character '{}' in JSON Schema '{}' property: '{}'. Identifiers must exclusively contain [a-z0-9_.]",
c, field_name, id
),
details: crate::drop::ErrorDetails {
path: Some(path.to_string()),
schema: Some(root_id.to_string()),
..Default::default()
},
});
return;
}
}
}
pub fn collect_schemas(
schema_arc: &Arc<Schema>,
root_id: &str,
path: String,
to_insert: &mut Vec<(String, Arc<Schema>)>,
errors: &mut Vec<crate::drop::Error>,
) {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &schema_arc.obj.type_ {
if t == "array" {
if let Some(items) = &schema_arc.obj.items {
if let Some(crate::database::object::SchemaTypeOrArray::Single(it)) = &items.obj.type_ {
if !crate::database::object::is_primitive_type(it) {
if items.obj.properties.is_some() || items.obj.cases.is_some() {
to_insert.push((path.clone(), Arc::clone(schema_arc)));
}
}
}
}
} else if !crate::database::object::is_primitive_type(t) {
Self::validate_identifier(t, "type", root_id, &path, errors);
// Is this an explicit inline ad-hoc composition?
if schema_arc.obj.properties.is_some() || schema_arc.obj.cases.is_some() {
to_insert.push((path.clone(), Arc::clone(schema_arc)));
}
}
}
if let Some(family) = &schema_arc.obj.family {
Self::validate_identifier(family, "family", root_id, &path, errors);
}
Self::collect_child_schemas(schema_arc, root_id, path, to_insert, errors);
}
pub fn collect_child_schemas(
schema_arc: &Arc<Schema>,
root_id: &str,
path: String,
to_insert: &mut Vec<(String, Arc<Schema>)>,
errors: &mut Vec<crate::drop::Error>,
) {
if let Some(props) = &schema_arc.obj.properties {
for (k, v) in props.iter() {
let next_path = format!("{}/{}", path, k);
Self::collect_schemas(v, root_id, next_path, to_insert, errors);
}
}
if let Some(pattern_props) = &schema_arc.obj.pattern_properties {
for (k, v) in pattern_props.iter() {
let next_path = format!("{}/{}", path, k);
Self::collect_schemas(v, root_id, next_path, to_insert, errors);
}
}
let mut map_arr = |arr: &Vec<Arc<Schema>>, sub: &str| {
for (i, v) in arr.iter().enumerate() {
Self::collect_schemas(
v,
root_id,
format!("{}/{}/{}", path, sub, i),
to_insert,
errors,
);
}
};
if let Some(arr) = &schema_arc.obj.prefix_items {
map_arr(arr, "prefixItems");
}
if let Some(arr) = &schema_arc.obj.one_of {
map_arr(arr, "oneOf");
}
let mut map_opt = |opt: &Option<Arc<Schema>>, pass_path: bool, sub: &str| {
if let Some(v) = opt {
if pass_path {
// Arrays explicitly push their wrapper natively.
// 'items' becomes a transparent conduit, bypassing self-promotion and skipping the '/items' suffix.
Self::collect_child_schemas(v, root_id, path.clone(), to_insert, errors);
} else {
Self::collect_child_schemas(v, root_id, format!("{}/{}", path, sub), to_insert, errors);
}
}
};
map_opt(
&schema_arc.obj.additional_properties,
false,
"additionalProperties",
);
map_opt(&schema_arc.obj.items, true, "items");
map_opt(&schema_arc.obj.not, false, "not");
map_opt(&schema_arc.obj.contains, false, "contains");
map_opt(&schema_arc.obj.property_names, false, "propertyNames");
if let Some(cases) = &schema_arc.obj.cases {
for (i, c) in cases.iter().enumerate() {
if let Some(when) = &c.when {
Self::collect_schemas(
when,
root_id,
format!("{}/cases/{}/when", path, i),
to_insert,
errors,
);
}
if let Some(then) = &c.then {
Self::collect_schemas(
then,
root_id,
format!("{}/cases/{}/then", path, i),
to_insert,
errors,
);
}
if let Some(else_) = &c.else_ {
Self::collect_schemas(
else_,
root_id,
format!("{}/cases/{}/else", path, i),
to_insert,
errors,
);
}
}
}
}
}

View File

@ -0,0 +1,128 @@
use crate::database::schema::Schema;
impl Schema {
/// Dynamically infers and compiles all structural database relationships between this Schema
/// and its nested children. This functions recursively traverses the JSON Schema abstract syntax
/// tree, identifies physical PostgreSQL table boundaries, and locks the resulting relation
/// constraint paths directly onto the `compiled_edges` map in O(1) memory.
pub fn compile_edges(
&self,
db: &crate::database::Database,
root_id: &str,
path: &str,
props: &std::collections::BTreeMap<String, std::sync::Arc<Schema>>,
errors: &mut Vec<crate::drop::Error>,
) -> std::collections::BTreeMap<String, crate::database::edge::Edge> {
let mut schema_edges = std::collections::BTreeMap::new();
// Determine the physical Database Table Name this schema structurally represents
// Plucks the polymorphic discriminator via dot-notation (e.g. extracting "person" from "full.person")
let mut parent_type_name = None;
if let Some(family) = &self.obj.family {
// 1. Explicit horizontal routing
parent_type_name = Some(family.split('.').next_back().unwrap_or(family).to_string());
} else if path == root_id {
// 2. Root nodes trust their exact registry footprint
let base_type_name = path.split('.').next_back().unwrap_or(path).to_string();
if db.types.contains_key(&base_type_name) {
parent_type_name = Some(base_type_name);
}
} else if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
// 3. Nested graphs trust their explicit struct pointer reference
if !crate::database::object::is_primitive_type(t) {
parent_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
}
if let Some(p_type) = parent_type_name {
// Proceed only if the resolved table physically exists within the Postgres Type hierarchy
if let Some(type_def) = db.types.get(&p_type) {
// Iterate over all discovered schema boundaries mapped inside the object
for (prop_name, prop_schema) in props {
let mut child_type_name = None;
let mut target_schema = prop_schema.clone();
let mut is_array = false;
// Structurally unpack the inner target entity if the object maps to an array list
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) =
&prop_schema.obj.type_
{
if t == "array" {
is_array = true;
if let Some(items) = &prop_schema.obj.items {
target_schema = items.clone();
}
}
}
// Determine the physical Postgres table backing the nested child schema recursively
if let Some(family) = &target_schema.obj.family {
child_type_name = Some(family.split('.').next_back().unwrap_or(family).to_string());
} else if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) =
&target_schema.obj.type_
{
if !crate::database::object::is_primitive_type(t) {
child_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
} else if let Some(arr) = &target_schema.obj.one_of {
if let Some(first) = arr.first() {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &first.obj.type_
{
if !crate::database::object::is_primitive_type(t) {
child_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
}
}
}
if let Some(c_type) = child_type_name {
// Skip edge compilation for JSONB columns — they store data inline, not relationally.
// The physical column type from field_types is the single source of truth.
if let Some(ft) = type_def
.field_types
.as_ref()
.and_then(|v| v.get(prop_name.as_str()))
.and_then(|v| v.as_str())
{
if ft == "jsonb" {
continue;
}
}
if db.types.contains_key(&c_type) {
// Ensure the child Schema's AST has accurately compiled its own physical property keys so we can
// inject them securely for Many-to-Many Twin Deduction disambiguation matching.
target_schema.compile(db, root_id, format!("{}/{}", path, prop_name), errors);
if let Some(compiled_target_props) = target_schema.obj.compiled_properties.get() {
let keys_for_ambiguity: Vec<String> =
compiled_target_props.keys().cloned().collect();
// Interrogate the Database catalog graph to discover the exact Foreign Key Constraint connecting the components
if let Some((relation, is_forward)) = db.resolve_relation(
&p_type,
&c_type,
prop_name,
Some(&keys_for_ambiguity),
is_array,
Some(root_id),
&format!("{}/{}", path, prop_name),
errors,
) {
schema_edges.insert(
prop_name.clone(),
crate::database::edge::Edge {
constraint: relation.constraint.clone(),
forward: is_forward,
},
);
}
}
}
}
}
}
}
schema_edges
}
}

View File

@ -0,0 +1,130 @@
use crate::database::Database;
use crate::database::object::{SchemaObject, SchemaTypeOrArray};
use crate::database::schema::Schema;
use std::collections::BTreeMap;
use std::sync::Arc;
impl Schema {
pub fn compile_filter(
&self,
_db: &Database,
root_id: &str,
_errors: &mut Vec<crate::drop::Error>,
) -> Option<Schema> {
if let Some(props) = self.obj.compiled_properties.get() {
let mut filter_props = BTreeMap::new();
for (key, child) in props {
if let Some(mut filter_type) = Self::resolve_filter_type(child) {
filter_type.push("null".to_string());
let mut child_obj = SchemaObject::default();
child_obj.type_ = Some(SchemaTypeOrArray::Multiple(filter_type));
filter_props.insert(
key.clone(),
Arc::new(Schema {
obj: child_obj,
always_fail: false,
}),
);
}
}
if !filter_props.is_empty() {
let root_filter_type = format!("{}.filter", root_id);
let mut and_obj = SchemaObject::default();
and_obj.type_ = Some(SchemaTypeOrArray::Multiple(vec![
"array".to_string(),
"null".to_string(),
]));
and_obj.items = Some(Arc::new(Schema {
obj: SchemaObject {
type_: Some(SchemaTypeOrArray::Single(root_filter_type.clone())),
..Default::default()
},
always_fail: false,
}));
filter_props.insert(
"$and".to_string(),
Arc::new(Schema {
obj: and_obj,
always_fail: false,
}),
);
let mut or_obj = SchemaObject::default();
or_obj.type_ = Some(SchemaTypeOrArray::Multiple(vec![
"array".to_string(),
"null".to_string(),
]));
or_obj.items = Some(Arc::new(Schema {
obj: SchemaObject {
type_: Some(SchemaTypeOrArray::Single(root_filter_type.clone())),
..Default::default()
},
always_fail: false,
}));
filter_props.insert(
"$or".to_string(),
Arc::new(Schema {
obj: or_obj,
always_fail: false,
}),
);
let mut wrapper_obj = SchemaObject::default();
// Filters are just plain objects containing conditions, no inheritance required
wrapper_obj.type_ = Some(SchemaTypeOrArray::Single("object".to_string()));
wrapper_obj.properties = Some(filter_props);
return Some(Schema {
obj: wrapper_obj,
always_fail: false,
});
}
}
None
}
fn resolve_filter_type(schema: &Arc<Schema>) -> Option<Vec<String>> {
if let Some(type_) = &schema.obj.type_ {
match type_ {
SchemaTypeOrArray::Single(t) => {
return Self::map_filter_string(t, schema);
}
SchemaTypeOrArray::Multiple(types) => {
for t in types {
if t != "null" {
return Self::map_filter_string(t, schema);
}
}
}
}
}
None
}
fn map_filter_string(t: &str, schema: &Arc<Schema>) -> Option<Vec<String>> {
match t {
"string" => {
if let Some(fmt) = &schema.obj.format {
if fmt == "date-time" {
return Some(vec!["date.condition".to_string()]);
}
}
Some(vec!["string.condition".to_string()])
}
"integer" => Some(vec!["integer.condition".to_string()]),
"number" => Some(vec!["number.condition".to_string()]),
"boolean" => Some(vec!["boolean.condition".to_string()]),
"object" => None, // Inline structures are ignored in Composed References
"array" => None, // We don't filter primitive arrays or map complex arrays yet
"null" => None,
custom => {
// Assume anything else is a Relational cross-boundary that already has its own .filter dynamically built
Some(vec![format!("{}.filter", custom)])
}
}
}
}

175
src/database/compile/mod.rs Normal file
View File

@ -0,0 +1,175 @@
pub mod collection;
pub mod edges;
pub mod filter;
pub mod polymorphism;
use crate::database::schema::Schema;
impl Schema {
pub fn compile(
&self,
db: &crate::database::Database,
root_id: &str,
path: String,
errors: &mut Vec<crate::drop::Error>,
) {
if self.obj.compiled_properties.get().is_some() {
return;
}
if let Some(format_str) = &self.obj.format {
if let Some(fmt) = crate::database::formats::FORMATS.get(format_str.as_str()) {
let _ = self
.obj
.compiled_format
.set(crate::database::object::CompiledFormat::Func(fmt.func));
}
}
if let Some(pattern_str) = &self.obj.pattern {
if let Ok(re) = regex::Regex::new(pattern_str) {
let _ = self
.obj
.compiled_pattern
.set(crate::database::object::CompiledRegex(re));
}
}
if let Some(pattern_props) = &self.obj.pattern_properties {
let mut compiled = Vec::new();
for (k, v) in pattern_props {
if let Ok(re) = regex::Regex::new(k) {
compiled.push((crate::database::object::CompiledRegex(re), v.clone()));
}
}
if !compiled.is_empty() {
let _ = self.obj.compiled_pattern_properties.set(compiled);
}
}
let mut props = std::collections::BTreeMap::new();
// 1. Resolve INHERITANCE dependencies first
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
if !crate::database::object::is_primitive_type(t) && !t.starts_with('$') {
if let Some(parent) = db.schemas.get(t).cloned() {
parent.as_ref().compile(db, t, t.clone(), errors);
if let Some(p_props) = parent.obj.compiled_properties.get() {
props.extend(p_props.clone());
}
}
}
}
if let Some(crate::database::object::SchemaTypeOrArray::Multiple(types)) = &self.obj.type_ {
let mut custom_type_count = 0;
for t in types {
if !crate::database::object::is_primitive_type(t) {
custom_type_count += 1;
}
}
if custom_type_count > 1 {
errors.push(crate::drop::Error {
code: "MULTIPLE_INHERITANCE_PROHIBITED".to_string(),
message: format!(
"Schema attempts to extend multiple custom object pointers in its type array {:?}. Use 'oneOf' for polymorphism and tagged unions.",
types
),
details: crate::drop::ErrorDetails {
path: Some(path.clone()),
schema: Some(root_id.to_string()),
..Default::default()
}
});
}
for t in types {
if !crate::database::object::is_primitive_type(t) && !t.starts_with('$') {
if let Some(parent) = db.schemas.get(t).cloned() {
parent.as_ref().compile(db, t, t.clone(), errors);
}
}
}
}
// 2. Add local properties
if let Some(local_props) = &self.obj.properties {
for (k, v) in local_props {
props.insert(k.clone(), v.clone());
}
}
// 3. Add cases conditionally-defined properties recursively
if let Some(cases) = &self.obj.cases {
for (i, c) in cases.iter().enumerate() {
if let Some(child) = &c.when {
child.compile(db, root_id, format!("{}/cases/{}/when", path, i), errors);
}
if let Some(child) = &c.then {
child.compile(db, root_id, format!("{}/cases/{}/then", path, i), errors);
if let Some(t_props) = child.obj.compiled_properties.get() {
props.extend(t_props.clone());
}
}
if let Some(child) = &c.else_ {
child.compile(db, root_id, format!("{}/cases/{}/else", path, i), errors);
if let Some(e_props) = child.obj.compiled_properties.get() {
props.extend(e_props.clone());
}
}
}
}
// 4. Set the OnceLock!
let _ = self.obj.compiled_properties.set(props.clone());
let mut names: Vec<String> = props.keys().cloned().collect();
names.sort();
let _ = self.obj.compiled_property_names.set(names);
// 5. Compute Edges natively
let schema_edges = self.compile_edges(db, root_id, &path, &props, errors);
let _ = self.obj.compiled_edges.set(schema_edges);
// 5. Build our inline children properties recursively NOW! (Depth-first search)
if let Some(local_props) = &self.obj.properties {
for (k, child) in local_props {
child.compile(db, root_id, format!("{}/{}", path, k), errors);
}
}
if let Some(items) = &self.obj.items {
items.compile(db, root_id, format!("{}/items", path), errors);
}
if let Some(pattern_props) = &self.obj.pattern_properties {
for (k, child) in pattern_props {
child.compile(db, root_id, format!("{}/{}", path, k), errors);
}
}
if let Some(additional_props) = &self.obj.additional_properties {
additional_props.compile(
db,
root_id,
format!("{}/additionalProperties", path),
errors,
);
}
if let Some(one_of) = &self.obj.one_of {
for (i, child) in one_of.iter().enumerate() {
child.compile(db, root_id, format!("{}/oneOf/{}", path, i), errors);
}
}
if let Some(arr) = &self.obj.prefix_items {
for (i, child) in arr.iter().enumerate() {
child.compile(db, root_id, format!("{}/prefixItems/{}", path, i), errors);
}
}
if let Some(child) = &self.obj.not {
child.compile(db, root_id, format!("{}/not", path), errors);
}
if let Some(child) = &self.obj.contains {
child.compile(db, root_id, format!("{}/contains", path), errors);
}
self.compile_polymorphism(db, root_id, &path, errors);
}
}

View File

@ -0,0 +1,156 @@
use crate::database::schema::Schema;
impl Schema {
pub fn compile_polymorphism(
&self,
db: &crate::database::Database,
root_id: &str,
path: &str,
errors: &mut Vec<crate::drop::Error>,
) {
let mut options = std::collections::BTreeMap::new();
let mut strategy = String::new();
if let Some(family) = &self.obj.family {
// Formalize the <Variant>.<Base> topology
// family_base extracts the 'Base' (e.g. 'widget', 'person')
let family_base = family.split('.').next_back().unwrap_or(family).to_string();
// family_prefix extracts the 'Variant' (e.g. 'stock', 'light')
let family_prefix = family
.strip_suffix(&family_base)
.unwrap_or("")
.trim_end_matches('.');
if let Some(type_def) = db.types.get(&family_base) {
if type_def.variations.len() > 1 && type_def.variations.iter().any(|v| v != &family_base) {
// Scenario A / B: Table Variations
strategy = "type".to_string();
for var in &type_def.variations {
let target_id = if family_prefix.is_empty() {
var.to_string()
} else {
format!("{}.{}", family_prefix, var)
};
if db.schemas.get(&target_id).is_some() {
options.insert(var.to_string(), (None, Some(target_id)));
}
}
} else {
// Scenario C: Single Table Inheritance (Horizontal)
strategy = "kind".to_string();
let suffix = format!(".{}", family_base);
for (id, schema) in &type_def.schemas {
if id.ends_with(&suffix) || id == &family_base {
if let Some(kind_val) = schema.obj.get_discriminator_value("kind", id) {
options.insert(kind_val, (None, Some(id.to_string())));
}
}
}
}
}
} else if let Some(one_of) = &self.obj.one_of {
let mut type_vals = std::collections::HashSet::new();
let mut kind_vals = std::collections::HashSet::new();
let mut disjoint_base = true;
let mut structural_types = std::collections::HashSet::new();
for c in one_of {
let mut child_id = String::new();
let mut child_is_primitive = false;
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if crate::database::object::is_primitive_type(t) {
child_is_primitive = true;
structural_types.insert(t.clone());
} else {
child_id = t.clone();
structural_types.insert("object".to_string());
}
} else {
disjoint_base = false;
}
if !child_is_primitive {
if let Some(t_val) = c.obj.get_discriminator_value("type", &child_id) {
type_vals.insert(t_val);
}
if let Some(k_val) = c.obj.get_discriminator_value("kind", &child_id) {
kind_vals.insert(k_val);
}
}
}
if disjoint_base && structural_types.len() == one_of.len() {
strategy = "".to_string();
for (i, c) in one_of.iter().enumerate() {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if crate::database::object::is_primitive_type(t) {
options.insert(t.clone(), (Some(i), None));
} else {
options.insert("object".to_string(), (Some(i), None));
}
}
}
} else {
strategy = if type_vals.len() > 1 && type_vals.len() == one_of.len() {
"type".to_string()
} else if kind_vals.len() > 1 && kind_vals.len() == one_of.len() {
"kind".to_string()
} else {
"".to_string()
};
if strategy.is_empty() {
errors.push(crate::drop::Error {
code: "AMBIGUOUS_POLYMORPHISM".to_string(),
message: format!("oneOf boundaries must map mathematically unique 'type' or 'kind' discriminators, or strictly contain disjoint primitive types."),
details: crate::drop::ErrorDetails {
path: Some(path.to_string()),
schema: Some(root_id.to_string()),
..Default::default()
}
});
return;
}
for (i, c) in one_of.iter().enumerate() {
let mut child_id = String::new();
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
child_id = t.clone();
}
}
if let Some(val) = c.obj.get_discriminator_value(&strategy, &child_id) {
if options.contains_key(&val) {
errors.push(crate::drop::Error {
code: "POLYMORPHIC_COLLISION".to_string(),
message: format!("Polymorphic boundary defines multiple candidates mapped to the identical discriminator value '{}'.", val),
details: crate::drop::ErrorDetails {
path: Some(path.to_string()),
schema: Some(root_id.to_string()),
..Default::default()
}
});
continue;
}
options.insert(val, (Some(i), None));
}
}
}
} else {
return;
}
if !options.is_empty() {
if !strategy.is_empty() {
let _ = self.obj.compiled_discriminator.set(strategy);
}
let _ = self.obj.compiled_options.set(options);
}
}
}

View File

@ -1,16 +1,15 @@
pub mod compile;
pub mod edge;
pub mod r#enum;
pub mod executors;
pub mod formats;
pub mod object;
pub mod page;
pub mod punc;
pub mod object;
pub mod relation;
pub mod schema;
pub mod r#type;
// External mock exports inside the executor sub-folder
use r#enum::Enum;
use executors::DatabaseExecutor;
@ -28,12 +27,15 @@ use std::collections::HashMap;
use std::sync::Arc;
use r#type::Type;
#[derive(serde::Serialize)]
pub struct Database {
pub enums: HashMap<String, Enum>,
pub types: HashMap<String, Type>,
pub puncs: HashMap<String, Punc>,
pub relations: HashMap<String, Relation>,
#[serde(skip)]
pub schemas: HashMap<String, Arc<Schema>>,
#[serde(skip)]
pub executor: Box<dyn DatabaseExecutor + Send + Sync>,
}
@ -60,10 +62,17 @@ impl Database {
db.enums.insert(def.name.clone(), def);
}
Err(e) => {
let name = item
.get("name")
.and_then(|v| v.as_str())
.unwrap_or("unknown");
errors.push(crate::drop::Error {
code: "DATABASE_ENUM_PARSE_FAILED".to_string(),
message: format!("Failed to parse database enum: {}", e),
details: crate::drop::ErrorDetails::default(),
message: format!("Failed to parse database enum '{}': {}", name, e),
details: crate::drop::ErrorDetails {
context: Some(serde_json::json!(name)),
..Default::default()
},
});
}
}
@ -77,10 +86,17 @@ impl Database {
db.types.insert(def.name.clone(), def);
}
Err(e) => {
let name = item
.get("name")
.and_then(|v| v.as_str())
.unwrap_or("unknown");
errors.push(crate::drop::Error {
code: "DATABASE_TYPE_PARSE_FAILED".to_string(),
message: format!("Failed to parse database type: {}", e),
details: crate::drop::ErrorDetails::default(),
message: format!("Failed to parse database type '{}': {}", name, e),
details: crate::drop::ErrorDetails {
context: Some(serde_json::json!(name)),
..Default::default()
},
});
}
}
@ -98,10 +114,17 @@ impl Database {
}
}
Err(e) => {
let constraint = item
.get("constraint")
.and_then(|v| v.as_str())
.unwrap_or("unknown");
errors.push(crate::drop::Error {
code: "DATABASE_RELATION_PARSE_FAILED".to_string(),
message: format!("Failed to parse database relation: {}", e),
details: crate::drop::ErrorDetails::default(),
message: format!("Failed to parse database relation '{}': {}", constraint, e),
details: crate::drop::ErrorDetails {
context: Some(serde_json::json!(constraint)),
..Default::default()
},
});
}
}
@ -115,27 +138,17 @@ impl Database {
db.puncs.insert(def.name.clone(), def);
}
Err(e) => {
let name = item
.get("name")
.and_then(|v| v.as_str())
.unwrap_or("unknown");
errors.push(crate::drop::Error {
code: "DATABASE_PUNC_PARSE_FAILED".to_string(),
message: format!("Failed to parse database punc: {}", e),
details: crate::drop::ErrorDetails::default(),
});
}
}
}
}
if let Some(map) = val.get("schemas").and_then(|v| v.as_object()) {
for (key, item) in map.iter() {
match serde_json::from_value::<Schema>(item.clone()) {
Ok(schema) => {
db.schemas.insert(key.clone(), Arc::new(schema));
}
Err(e) => {
errors.push(crate::drop::Error {
code: "DATABASE_SCHEMA_PARSE_FAILED".to_string(),
message: format!("Failed to parse database schema key '{}': {}", key, e),
details: crate::drop::ErrorDetails::default(),
message: format!("Failed to parse database punc '{}': {}", name, e),
details: crate::drop::ErrorDetails {
context: Some(serde_json::json!(name)),
..Default::default()
},
});
}
}
@ -178,54 +191,158 @@ impl Database {
}
pub fn compile(&mut self, errors: &mut Vec<crate::drop::Error>) {
let mut harvested = Vec::new();
for (id, schema_arc) in &self.schemas {
crate::database::schema::Schema::collect_schemas(schema_arc, id, id.clone(), &mut harvested, errors);
}
for (id, schema_arc) in harvested {
self.schemas.insert(id, schema_arc);
}
self.collect_schemas(errors);
// Mathematically evaluate all property inheritances, formats, schemas, and foreign key edges topographically over OnceLocks
let mut visited = std::collections::HashSet::new();
for (id, schema_arc) in &self.schemas {
// First compile pass initializes exact structural root_id mapping to resolve DB constraints
let root_id = id.split('/').next().unwrap_or(id);
schema_arc.as_ref().compile(self, root_id, id.clone(), &mut visited, errors);
// Formally evaluate properties with strict 3-pass Ordered Graph execution natively
for (_, enum_def) in &self.enums {
for (schema_id, schema_arc) in &enum_def.schemas {
let root_id = schema_id.split('/').next().unwrap_or(schema_id);
schema_arc
.as_ref()
.compile(self, root_id, schema_id.clone(), errors);
}
}
for (_, type_def) in &self.types {
for (schema_id, schema_arc) in &type_def.schemas {
let root_id = schema_id.split('/').next().unwrap_or(schema_id);
schema_arc
.as_ref()
.compile(self, root_id, schema_id.clone(), errors);
}
}
for (_, punc_def) in &self.puncs {
for (schema_id, schema_arc) in &punc_def.schemas {
let root_id = schema_id.split('/').next().unwrap_or(schema_id);
schema_arc
.as_ref()
.compile(self, root_id, schema_id.clone(), errors);
}
}
// Phase 2: Synthesize Composed Filter References
let mut filter_schemas = Vec::new();
for (type_name, type_def) in &self.types {
for (id, schema_arc) in &type_def.schemas {
// Only run synthesis on actual structured, table-backed boundaries. Exclude subschemas!
let base_name = id.split('.').last().unwrap_or(id);
let is_table_backed = base_name == type_def.name;
if is_table_backed && !id.contains('/') {
if let Some(filter_schema) = schema_arc.compile_filter(self, id, errors) {
filter_schemas.push((
type_name.clone(),
format!("{}.filter", id),
Arc::new(filter_schema),
));
}
}
}
}
let mut filter_ids = Vec::new();
for (type_name, id, filter_arc) in filter_schemas {
filter_ids.push((type_name.clone(), id.clone()));
self.schemas.insert(id.clone(), filter_arc.clone());
if let Some(t) = self.types.get_mut(&type_name) {
t.schemas.insert(id, filter_arc);
}
}
// Now actively compile the newly injected filters to lock all nested compose references natively
for (type_name, id) in filter_ids {
if let Some(filter_arc) = self
.types
.get(&type_name)
.and_then(|t| t.schemas.get(&id))
.cloned()
{
let root_id = id.split('/').next().unwrap_or(&id);
filter_arc
.as_ref()
.compile(self, root_id, id.clone(), errors);
}
}
}
fn collect_schemas(&mut self, errors: &mut Vec<crate::drop::Error>) {
let mut to_insert = Vec::new();
let mut type_insert = Vec::new();
let mut punc_insert = Vec::new();
let mut enum_insert = Vec::new();
// Pass 1: Extract all Schemas structurally off top level definitions into the master registry.
// Validate every node recursively via string filters natively!
for type_def in self.types.values() {
for (type_name, type_def) in &self.types {
for (id, schema_arc) in &type_def.schemas {
to_insert.push((id.clone(), Arc::clone(schema_arc)));
crate::database::schema::Schema::collect_schemas(schema_arc, id, id.clone(), &mut to_insert, errors);
}
}
for punc_def in self.puncs.values() {
for (id, schema_arc) in &punc_def.schemas {
to_insert.push((id.clone(), Arc::clone(schema_arc)));
crate::database::schema::Schema::collect_schemas(schema_arc, id, id.clone(), &mut to_insert, errors);
}
}
for enum_def in self.enums.values() {
for (id, schema_arc) in &enum_def.schemas {
to_insert.push((id.clone(), Arc::clone(schema_arc)));
crate::database::schema::Schema::collect_schemas(schema_arc, id, id.clone(), &mut to_insert, errors);
self.schemas.insert(id.clone(), Arc::clone(schema_arc));
let mut local_insert = Vec::new();
crate::database::schema::Schema::collect_schemas(
schema_arc,
id,
id.clone(),
&mut local_insert,
errors,
);
for entry in &local_insert {
type_insert.push((type_name.clone(), entry.0.clone(), Arc::clone(&entry.1)));
}
}
}
for (id, schema_arc) in to_insert {
self.schemas.insert(id, schema_arc);
for (punc_name, punc_def) in &self.puncs {
for (id, schema_arc) in &punc_def.schemas {
self.schemas.insert(id.clone(), Arc::clone(schema_arc));
let mut local_insert = Vec::new();
crate::database::schema::Schema::collect_schemas(
schema_arc,
id,
id.clone(),
&mut local_insert,
errors,
);
for entry in &local_insert {
punc_insert.push((punc_name.clone(), entry.0.clone(), Arc::clone(&entry.1)));
}
}
}
for (enum_name, enum_def) in &self.enums {
for (id, schema_arc) in &enum_def.schemas {
self.schemas.insert(id.clone(), Arc::clone(schema_arc));
let mut local_insert = Vec::new();
crate::database::schema::Schema::collect_schemas(
schema_arc,
id,
id.clone(),
&mut local_insert,
errors,
);
for entry in &local_insert {
enum_insert.push((enum_name.clone(), entry.0.clone(), Arc::clone(&entry.1)));
}
}
}
// Apply local scopes and global schema map
for (origin_name, id, schema_arc) in type_insert {
self.schemas.insert(id.clone(), schema_arc.clone());
if let Some(t) = self.types.get_mut(&origin_name) {
t.schemas.insert(id, schema_arc);
}
}
for (origin_name, id, schema_arc) in punc_insert {
self.schemas.insert(id.clone(), schema_arc.clone());
if let Some(p) = self.puncs.get_mut(&origin_name) {
p.schemas.insert(id, schema_arc);
}
}
for (origin_name, id, schema_arc) in enum_insert {
self.schemas.insert(id.clone(), schema_arc.clone());
if let Some(e) = self.enums.get_mut(&origin_name) {
e.schemas.insert(id, schema_arc);
}
}
}
/// Inspects the Postgres pg_constraint relations catalog to securely identify
/// the precise Foreign Key connecting a parent and child hierarchy path.
pub fn resolve_relation<'a>(
@ -257,10 +374,10 @@ impl Database {
all_rels.sort_by(|a, b| a.constraint.cmp(&b.constraint));
for rel in all_rels {
let mut is_forward =
p_def.hierarchy.contains(&rel.source_type) && c_def.hierarchy.contains(&rel.destination_type);
let is_reverse =
p_def.hierarchy.contains(&rel.destination_type) && c_def.hierarchy.contains(&rel.source_type);
let mut is_forward = p_def.hierarchy.contains(&rel.source_type)
&& c_def.hierarchy.contains(&rel.destination_type);
let is_reverse = p_def.hierarchy.contains(&rel.destination_type)
&& c_def.hierarchy.contains(&rel.source_type);
// Structural Cardinality Filtration:
// If the schema requires a collection (Array), it is mathematically impossible for a pure
@ -282,7 +399,7 @@ impl Database {
// Abort relation discovery early if no hierarchical inheritance match was found
if matching_rels.is_empty() {
let mut details = crate::drop::ErrorDetails {
path: path.to_string(),
path: Some(path.to_string()),
..Default::default()
};
if let Some(sid) = schema_id {
@ -381,7 +498,7 @@ impl Database {
// and forces a clean structural error for the architect.
if !resolved {
let mut details = crate::drop::ErrorDetails {
path: path.to_string(),
path: Some(path.to_string()),
context: serde_json::to_value(&matching_rels).ok(),
cause: Some("Multiple conflicting constraints found matching prefixes".to_string()),
..Default::default()

View File

@ -37,7 +37,7 @@ pub struct SchemaObject {
#[serde(rename = "additionalProperties")]
#[serde(skip_serializing_if = "Option::is_none")]
pub additional_properties: Option<Arc<Schema>>,
#[serde(rename = "$family")]
#[serde(rename = "family")]
#[serde(skip_serializing_if = "Option::is_none")]
pub family: Option<String>,
@ -154,12 +154,15 @@ pub struct SchemaObject {
#[serde(skip_serializing_if = "Option::is_none")]
pub extensible: Option<bool>,
#[serde(rename = "compiledProperties")]
// Contains ALL structural fields perfectly flattened from the ENTIRE Database inheritance tree (e.g. `entity` fields like `id`) as well as local fields hidden inside conditional `cases` blocks.
// This JSON exported array gives clients absolute deterministic visibility to O(1) validation and masking bounds without duplicating structural memory.
#[serde(rename = "compiledPropertyNames")]
#[serde(skip_deserializing)]
#[serde(skip_serializing_if = "crate::database::object::is_once_lock_vec_empty")]
#[serde(serialize_with = "crate::database::object::serialize_once_lock")]
pub compiled_property_names: OnceLock<Vec<String>>,
// Internal structural representation caching active AST Node maps. Unlike the Go framework counterpart, the JSPG implementation DOES natively include ALL ancestral inheritance boundary schemas because it compiles locally against the raw database graph.
#[serde(skip)]
pub compiled_properties: OnceLock<BTreeMap<String, Arc<Schema>>>,
@ -307,7 +310,7 @@ impl SchemaObject {
return true;
}
// 2. Implicit table-backed rule: Does its $family boundary map directly to the global database catalog?
// 2. Implicit table-backed rule: Does its family boundary map directly to the global database catalog?
if let Some(family) = &self.family {
let base = family.split('.').next_back().unwrap_or(family);
if db.types.contains_key(base) {

View File

@ -15,6 +15,7 @@ pub struct Punc {
pub public: bool,
pub form: bool,
pub get: Option<String>,
pub save: Option<String>,
pub page: Option<Page>,
#[serde(default)]
pub schemas: std::collections::BTreeMap<String, Arc<Schema>>,

View File

@ -3,6 +3,8 @@ use serde::{Deserialize, Serialize};
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
#[serde(default)]
pub struct Relation {
pub id: String,
pub r#type: String,
pub constraint: String,
pub source_type: String,
pub source_columns: Vec<String>,

View File

@ -1,7 +1,7 @@
use crate::database::object::*;
use serde::{Deserialize, Serialize};
use serde_json::Value;
use std::sync::Arc;
#[derive(Debug, Clone, Serialize, Default)]
pub struct Schema {
#[serde(flatten)]
@ -23,606 +23,23 @@ impl std::ops::DerefMut for Schema {
}
impl Schema {
pub fn compile(
&self,
db: &crate::database::Database,
root_id: &str,
path: String,
visited: &mut std::collections::HashSet<String>,
errors: &mut Vec<crate::drop::Error>,
) {
if self.obj.compiled_properties.get().is_some() {
return;
}
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
if !visited.insert(t.clone()) {
return; // Break cyclical resolution
}
}
}
if let Some(format_str) = &self.obj.format {
if let Some(fmt) = crate::database::formats::FORMATS.get(format_str.as_str()) {
let _ = self
.obj
.compiled_format
.set(crate::database::object::CompiledFormat::Func(fmt.func));
}
}
if let Some(pattern_str) = &self.obj.pattern {
if let Ok(re) = regex::Regex::new(pattern_str) {
let _ = self
.obj
.compiled_pattern
.set(crate::database::object::CompiledRegex(re));
}
}
if let Some(pattern_props) = &self.obj.pattern_properties {
let mut compiled = Vec::new();
for (k, v) in pattern_props {
if let Ok(re) = regex::Regex::new(k) {
compiled.push((crate::database::object::CompiledRegex(re), v.clone()));
}
}
if !compiled.is_empty() {
let _ = self.obj.compiled_pattern_properties.set(compiled);
}
}
let mut props = std::collections::BTreeMap::new();
// 1. Resolve INHERITANCE dependencies first
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
if let Some(parent) = db.schemas.get(t) {
parent.as_ref().compile(db, t, t.clone(), visited, errors);
if let Some(p_props) = parent.obj.compiled_properties.get() {
props.extend(p_props.clone());
}
}
}
}
if let Some(crate::database::object::SchemaTypeOrArray::Multiple(types)) = &self.obj.type_ {
let mut custom_type_count = 0;
for t in types {
if !crate::database::object::is_primitive_type(t) {
custom_type_count += 1;
}
}
if custom_type_count > 1 {
errors.push(crate::drop::Error {
code: "MULTIPLE_INHERITANCE_PROHIBITED".to_string(),
message: format!(
"Schema attempts to extend multiple custom object pointers in its type array {:?}. Use 'oneOf' for polymorphism and tagged unions.",
types
),
details: crate::drop::ErrorDetails {
path: path.clone(),
schema: Some(root_id.to_string()),
..Default::default()
}
});
}
for t in types {
if !crate::database::object::is_primitive_type(t) {
if let Some(parent) = db.schemas.get(t) {
parent.as_ref().compile(db, t, t.clone(), visited, errors);
}
}
}
}
// 2. Add local properties
if let Some(local_props) = &self.obj.properties {
for (k, v) in local_props {
props.insert(k.clone(), v.clone());
}
}
// 3. Set the OnceLock!
let _ = self.obj.compiled_properties.set(props.clone());
let mut names: Vec<String> = props.keys().cloned().collect();
names.sort();
let _ = self.obj.compiled_property_names.set(names);
// 4. Compute Edges natively
let schema_edges = self.compile_edges(db, root_id, &path, visited, &props, errors);
let _ = self.obj.compiled_edges.set(schema_edges);
// 5. Build our inline children properties recursively NOW! (Depth-first search)
if let Some(local_props) = &self.obj.properties {
for (k, child) in local_props {
child.compile(db, root_id, format!("{}/{}", path, k), visited, errors);
}
}
if let Some(items) = &self.obj.items {
items.compile(db, root_id, format!("{}/items", path), visited, errors);
}
if let Some(pattern_props) = &self.obj.pattern_properties {
for (k, child) in pattern_props {
child.compile(db, root_id, format!("{}/{}", path, k), visited, errors);
}
}
if let Some(additional_props) = &self.obj.additional_properties {
additional_props.compile(
db,
root_id,
format!("{}/additionalProperties", path),
visited,
errors,
);
}
if let Some(one_of) = &self.obj.one_of {
for (i, child) in one_of.iter().enumerate() {
child.compile(db, root_id, format!("{}/oneOf/{}", path, i), visited, errors);
}
}
if let Some(arr) = &self.obj.prefix_items {
for (i, child) in arr.iter().enumerate() {
child.compile(db, root_id, format!("{}/prefixItems/{}", path, i), visited, errors);
}
}
if let Some(child) = &self.obj.not {
child.compile(db, root_id, format!("{}/not", path), visited, errors);
}
if let Some(child) = &self.obj.contains {
child.compile(db, root_id, format!("{}/contains", path), visited, errors);
}
if let Some(cases) = &self.obj.cases {
for (i, c) in cases.iter().enumerate() {
if let Some(child) = &c.when {
child.compile(db, root_id, format!("{}/cases/{}/when", path, i), visited, errors);
}
if let Some(child) = &c.then {
child.compile(db, root_id, format!("{}/cases/{}/then", path, i), visited, errors);
}
if let Some(child) = &c.else_ {
child.compile(db, root_id, format!("{}/cases/{}/else", path, i), visited, errors);
}
}
}
self.compile_polymorphism(db, root_id, &path, errors);
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
visited.remove(t);
}
}
}
/// Dynamically infers and compiles all structural database relationships between this Schema
/// and its nested children. This functions recursively traverses the JSON Schema abstract syntax
/// tree, identifies physical PostgreSQL table boundaries, and locks the resulting relation
/// constraint paths directly onto the `compiled_edges` map in O(1) memory.
pub fn compile_edges(
&self,
db: &crate::database::Database,
root_id: &str,
path: &str,
visited: &mut std::collections::HashSet<String>,
props: &std::collections::BTreeMap<String, std::sync::Arc<Schema>>,
errors: &mut Vec<crate::drop::Error>,
) -> std::collections::BTreeMap<String, crate::database::edge::Edge> {
let mut schema_edges = std::collections::BTreeMap::new();
// Determine the physical Database Table Name this schema structurally represents
// Plucks the polymorphic discriminator via dot-notation (e.g. extracting "person" from "full.person")
let mut parent_type_name = None;
if let Some(family) = &self.obj.family {
// 1. Explicit horizontal routing
parent_type_name = Some(family.split('.').next_back().unwrap_or(family).to_string());
} else if !path.contains('/') {
// 2. Root nodes trust their exact registry footprint
let base_type_name = path.split('.').next_back().unwrap_or(path).to_string();
if db.types.contains_key(&base_type_name) {
parent_type_name = Some(base_type_name);
}
} else if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &self.obj.type_ {
// 3. Nested graphs trust their explicit struct pointer reference
if !crate::database::object::is_primitive_type(t) {
parent_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
}
if parent_type_name.is_none() {
// 4. Absolute fallback for completely anonymous inline structures
let base_type_name = root_id
.split('.')
.next_back()
.unwrap_or(root_id)
.to_string();
if db.types.contains_key(&base_type_name) {
parent_type_name = Some(base_type_name);
}
}
if let Some(p_type) = parent_type_name {
// Proceed only if the resolved table physically exists within the Postgres Type hierarchy
if db.types.contains_key(&p_type) {
// Iterate over all discovered schema boundaries mapped inside the object
for (prop_name, prop_schema) in props {
let mut child_type_name = None;
let mut target_schema = prop_schema.clone();
let mut is_array = false;
// Structurally unpack the inner target entity if the object maps to an array list
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) =
&prop_schema.obj.type_
{
if t == "array" {
is_array = true;
if let Some(items) = &prop_schema.obj.items {
target_schema = items.clone();
}
}
}
// Determine the physical Postgres table backing the nested child schema recursively
if let Some(family) = &target_schema.obj.family {
child_type_name = Some(family.split('.').next_back().unwrap_or(family).to_string());
} else if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) =
&target_schema.obj.type_
{
if !crate::database::object::is_primitive_type(t) {
child_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
} else if let Some(arr) = &target_schema.obj.one_of {
if let Some(first) = arr.first() {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &first.obj.type_
{
if !crate::database::object::is_primitive_type(t) {
child_type_name = Some(t.split('.').next_back().unwrap_or(t).to_string());
}
}
}
}
if let Some(c_type) = child_type_name {
if db.types.contains_key(&c_type) {
// Ensure the child Schema's AST has accurately compiled its own physical property keys so we can
// inject them securely for Many-to-Many Twin Deduction disambiguation matching.
target_schema.compile(db, root_id, format!("{}/{}", path, prop_name), visited, errors);
if let Some(compiled_target_props) = target_schema.obj.compiled_properties.get() {
let keys_for_ambiguity: Vec<String> =
compiled_target_props.keys().cloned().collect();
// Interrogate the Database catalog graph to discover the exact Foreign Key Constraint connecting the components
if let Some((relation, is_forward)) = db.resolve_relation(
&p_type,
&c_type,
prop_name,
Some(&keys_for_ambiguity),
is_array,
Some(root_id),
&format!("{}/{}", path, prop_name),
errors,
) {
schema_edges.insert(
prop_name.clone(),
crate::database::edge::Edge {
constraint: relation.constraint.clone(),
forward: is_forward,
},
);
}
}
}
}
}
}
}
schema_edges
}
pub fn compile_polymorphism(
&self,
db: &crate::database::Database,
root_id: &str,
path: &str,
errors: &mut Vec<crate::drop::Error>,
) {
let mut options = std::collections::BTreeMap::new();
let mut strategy = String::new();
if let Some(family) = &self.obj.family {
let family_base = family.split('.').next_back().unwrap_or(family).to_string();
let family_prefix = family
.strip_suffix(&family_base)
.unwrap_or("")
.trim_end_matches('.');
if let Some(type_def) = db.types.get(&family_base) {
if type_def.variations.len() > 1 && type_def.variations.iter().any(|v| v != &family_base) {
// Scenario A / B: Table Variations
strategy = "type".to_string();
for var in &type_def.variations {
let target_id = if family_prefix.is_empty() {
var.to_string()
} else {
format!("{}.{}", family_prefix, var)
};
if db.schemas.contains_key(&target_id) {
options.insert(var.to_string(), (None, Some(target_id)));
}
}
} else {
// Scenario C: Single Table Inheritance (Horizontal)
strategy = "kind".to_string();
let suffix = format!(".{}", family_base);
for (id, schema) in &type_def.schemas {
if id.ends_with(&suffix) || id == &family_base {
if let Some(kind_val) = schema.obj.get_discriminator_value("kind", id) {
options.insert(kind_val, (None, Some(id.to_string())));
}
}
}
}
}
} else if let Some(one_of) = &self.obj.one_of {
let mut type_vals = std::collections::HashSet::new();
let mut kind_vals = std::collections::HashSet::new();
let mut disjoint_base = true;
let mut structural_types = std::collections::HashSet::new();
for c in one_of {
let mut child_id = String::new();
let mut child_is_primitive = false;
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if crate::database::object::is_primitive_type(t) {
child_is_primitive = true;
structural_types.insert(t.clone());
} else {
child_id = t.clone();
structural_types.insert("object".to_string());
}
} else {
disjoint_base = false;
}
if !child_is_primitive {
if let Some(t_val) = c.obj.get_discriminator_value("type", &child_id) {
type_vals.insert(t_val);
}
if let Some(k_val) = c.obj.get_discriminator_value("kind", &child_id) {
kind_vals.insert(k_val);
}
}
}
if disjoint_base && structural_types.len() == one_of.len() {
strategy = "".to_string();
for (i, c) in one_of.iter().enumerate() {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if crate::database::object::is_primitive_type(t) {
options.insert(t.clone(), (Some(i), None));
} else {
options.insert("object".to_string(), (Some(i), None));
}
}
}
} else {
strategy = if type_vals.len() > 1 && type_vals.len() == one_of.len() {
"type".to_string()
} else if kind_vals.len() > 1 && kind_vals.len() == one_of.len() {
"kind".to_string()
} else {
"".to_string()
};
if strategy.is_empty() {
errors.push(crate::drop::Error {
code: "AMBIGUOUS_POLYMORPHISM".to_string(),
message: format!("oneOf boundaries must map mathematically unique 'type' or 'kind' discriminators, or strictly contain disjoint primitive types."),
details: crate::drop::ErrorDetails {
path: path.to_string(),
schema: Some(root_id.to_string()),
..Default::default()
}
});
return;
}
for (i, c) in one_of.iter().enumerate() {
let mut child_id = String::new();
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &c.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
child_id = t.clone();
}
}
if let Some(val) = c.obj.get_discriminator_value(&strategy, &child_id) {
if options.contains_key(&val) {
errors.push(crate::drop::Error {
code: "POLYMORPHIC_COLLISION".to_string(),
message: format!("Polymorphic boundary defines multiple candidates mapped to the identical discriminator value '{}'.", val),
details: crate::drop::ErrorDetails {
path: path.to_string(),
schema: Some(root_id.to_string()),
..Default::default()
}
});
continue;
}
options.insert(val, (Some(i), None));
}
}
}
} else {
return;
}
if !options.is_empty() {
if !strategy.is_empty() {
let _ = self.obj.compiled_discriminator.set(strategy);
}
let _ = self.obj.compiled_options.set(options);
}
}
#[allow(unused_variables)]
fn validate_identifier(
id: &str,
field_name: &str,
root_id: &str,
path: &str,
errors: &mut Vec<crate::drop::Error>,
) {
#[cfg(not(test))]
for c in id.chars() {
if !c.is_ascii_lowercase() && !c.is_ascii_digit() && c != '_' && c != '.' {
errors.push(crate::drop::Error {
code: "INVALID_IDENTIFIER".to_string(),
message: format!(
"Invalid character '{}' in JSON Schema '{}' property: '{}'. Identifiers must exclusively contain [a-z0-9_.]",
c, field_name, id
),
details: crate::drop::ErrorDetails {
path: path.to_string(),
schema: Some(root_id.to_string()),
..Default::default()
},
});
return;
}
}
}
pub fn collect_schemas(
schema_arc: &Arc<Schema>,
root_id: &str,
path: String,
to_insert: &mut Vec<(String, Arc<Schema>)>,
errors: &mut Vec<crate::drop::Error>,
) {
let mut should_push = false;
// Push ad-hoc inline composition into the addressable registry
if schema_arc.obj.properties.is_some()
|| schema_arc.obj.items.is_some()
|| schema_arc.obj.family.is_some()
|| schema_arc.obj.one_of.is_some()
{
should_push = true;
}
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &schema_arc.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
Self::validate_identifier(t, "type", root_id, &path, errors);
should_push = true;
}
}
if let Some(family) = &schema_arc.obj.family {
Self::validate_identifier(family, "$family", root_id, &path, errors);
}
if should_push {
to_insert.push((path.clone(), Arc::clone(schema_arc)));
}
Self::collect_child_schemas(schema_arc, root_id, path, to_insert, errors);
}
pub fn collect_child_schemas(
schema_arc: &Arc<Schema>,
root_id: &str,
path: String,
to_insert: &mut Vec<(String, Arc<Schema>)>,
errors: &mut Vec<crate::drop::Error>,
) {
if let Some(props) = &schema_arc.obj.properties {
for (k, v) in props.iter() {
let next_path = format!("{}/{}", path, k);
Self::collect_schemas(v, root_id, next_path, to_insert, errors);
}
}
if let Some(pattern_props) = &schema_arc.obj.pattern_properties {
for (k, v) in pattern_props.iter() {
let next_path = format!("{}/{}", path, k);
Self::collect_schemas(v, root_id, next_path, to_insert, errors);
}
}
let mut map_arr = |arr: &Vec<Arc<Schema>>, sub: &str| {
for (i, v) in arr.iter().enumerate() {
Self::collect_schemas(v, root_id, format!("{}/{}/{}", path, sub, i), to_insert, errors);
}
};
if let Some(arr) = &schema_arc.obj.prefix_items {
map_arr(arr, "prefixItems");
}
if let Some(arr) = &schema_arc.obj.one_of {
map_arr(arr, "oneOf");
}
let mut map_opt = |opt: &Option<Arc<Schema>>, pass_path: bool, sub: &str| {
if let Some(v) = opt {
if pass_path {
Self::collect_schemas(v, root_id, format!("{}/{}", path, sub), to_insert, errors);
} else {
Self::collect_child_schemas(v, root_id, format!("{}/{}", path, sub), to_insert, errors);
}
}
};
map_opt(
&schema_arc.obj.additional_properties,
false,
"additionalProperties",
);
map_opt(&schema_arc.obj.items, true, "items");
map_opt(&schema_arc.obj.not, false, "not");
map_opt(&schema_arc.obj.contains, false, "contains");
map_opt(&schema_arc.obj.property_names, false, "propertyNames");
if let Some(cases) = &schema_arc.obj.cases {
for (i, c) in cases.iter().enumerate() {
if let Some(when) = &c.when {
Self::collect_schemas(
when,
root_id,
format!("{}/cases/{}/when", path, i),
to_insert,
errors,
);
}
if let Some(then) = &c.then {
Self::collect_schemas(
then,
root_id,
format!("{}/cases/{}/then", path, i),
to_insert,
errors,
);
}
if let Some(else_) = &c.else_ {
Self::collect_schemas(
else_,
root_id,
format!("{}/cases/{}/else", path, i),
to_insert,
errors,
);
}
}
}
/// Returns true if the schema acts purely as a type pointer (composition without overriding constraints)
pub fn is_proxy(&self) -> bool {
self.obj.properties.is_none()
&& self.obj.pattern_properties.is_none()
&& self.obj.additional_properties.is_none()
&& self.obj.required.is_none()
&& self.obj.dependencies.is_none()
&& self.obj.items.is_none()
&& self.obj.prefix_items.is_none()
&& self.obj.contains.is_none()
&& self.obj.format.is_none()
&& self.obj.enum_.is_none()
&& self.obj.const_.is_none()
&& self.obj.cases.is_none()
&& self.obj.one_of.is_none()
&& self.obj.not.is_none()
&& self.obj.family.is_none()
}
}

View File

@ -66,7 +66,8 @@ pub struct Error {
#[derive(Debug, Serialize, Deserialize, Clone, Default)]
pub struct ErrorDetails {
pub path: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub path: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub cause: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]

View File

@ -30,7 +30,7 @@ fn jspg_failure() -> JsonB {
code: "ENGINE_NOT_INITIALIZED".to_string(),
message: "JSPG extension has not been initialized via jspg_setup".to_string(),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: None,
context: None,
schema: None,
@ -72,7 +72,7 @@ pub fn jspg_merge(schema_id: &str, data: JsonB) -> JsonB {
}
#[cfg_attr(not(test), pg_extern)]
pub fn jspg_query(schema_id: &str, filters: Option<JsonB>) -> JsonB {
pub fn jspg_query(schema_id: &str, filter: Option<JsonB>) -> JsonB {
let engine_opt = {
let lock = GLOBAL_JSPG.read().unwrap();
lock.clone()
@ -82,7 +82,7 @@ pub fn jspg_query(schema_id: &str, filters: Option<JsonB>) -> JsonB {
Some(engine) => {
let drop = engine
.queryer
.query(schema_id, filters.as_ref().map(|f| &f.0));
.query(schema_id, filter.as_ref().map(|f| &f.0));
JsonB(serde_json::to_value(drop).unwrap())
}
None => jspg_failure(),
@ -109,7 +109,7 @@ pub fn jspg_validate(schema_id: &str, instance: JsonB) -> JsonB {
}
#[cfg_attr(not(test), pg_extern)]
pub fn jspg_schemas() -> JsonB {
pub fn jspg_database() -> JsonB {
let engine_opt = {
let lock = GLOBAL_JSPG.read().unwrap();
lock.clone()
@ -117,9 +117,9 @@ pub fn jspg_schemas() -> JsonB {
match engine_opt {
Some(engine) => {
let schemas_json = serde_json::to_value(&engine.database.schemas)
let database_json = serde_json::to_value(&engine.database)
.unwrap_or(serde_json::Value::Object(serde_json::Map::new()));
let drop = crate::drop::Drop::success_with_val(schemas_json);
let drop = crate::drop::Drop::success_with_val(database_json);
JsonB(serde_json::to_value(drop).unwrap())
}
None => jspg_failure(),

View File

@ -25,13 +25,13 @@ impl Merger {
let mut notifications_queue = Vec::new();
let target_schema = match self.db.schemas.get(schema_id) {
Some(s) => Arc::clone(s),
Some(s) => Arc::clone(&s),
None => {
return crate::drop::Drop::with_errors(vec![crate::drop::Error {
code: "MERGE_FAILED".to_string(),
message: format!("Unknown schema_id: {}", schema_id),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: None,
context: Some(data),
schema: None,
@ -76,7 +76,7 @@ impl Merger {
code: final_code,
message: final_message,
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: final_cause,
context: None,
schema: None,
@ -92,7 +92,7 @@ impl Merger {
code: "MERGE_FAILED".to_string(),
message: format!("Executor Error in pre-ordered notify: {:?}", e),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: None,
context: None,
schema: None,
@ -144,30 +144,49 @@ impl Merger {
if let Some(v) = val {
if let Some((idx_opt, target_id_opt)) = options.get(v) {
if let Some(target_id) = target_id_opt {
if let Some(target_schema) = self.db.schemas.get(target_id) {
schema = Arc::clone(target_schema);
if let Some(target_schema) =
self.db.schemas.get(target_id)
{
schema = target_schema.clone();
} else {
return Err(format!("Polymorphic mapped target '{}' not found in database registry", target_id));
return Err(format!(
"Polymorphic mapped target '{}' not found in database registry",
target_id
));
}
} else if let Some(idx) = idx_opt {
if let Some(target_schema) = schema.obj.one_of.as_ref().and_then(|options| options.get(*idx)) {
schema = Arc::clone(target_schema);
if let Some(target_schema) = schema
.obj
.one_of
.as_ref()
.and_then(|options| options.get(*idx))
{
schema = Arc::clone(target_schema);
} else {
return Err(format!("Polymorphic index target '{}' not found in local oneOf array", idx));
return Err(format!(
"Polymorphic index target '{}' not found in local oneOf array",
idx
));
}
} else {
return Err(format!("Polymorphic mapped target has no path"));
}
} else {
return Err(format!("Polymorphic discriminator {}='{}' matched no compiled options", disc, v));
return Err(format!(
"Polymorphic discriminator {}='{}' matched no compiled options",
disc, v
));
}
} else {
return Err(format!("Polymorphic merging failed: missing required discriminator '{}'", disc));
return Err(format!(
"Polymorphic merging failed: missing required discriminator '{}'",
disc
));
}
}
}
self.merge_object(schema, map, notifications)
},
}
_ => Err("Invalid merge payload: root must be an Object or Array".to_string()),
}
}

View File

@ -28,9 +28,10 @@ impl<'a> Compiler<'a> {
.db
.schemas
.get(schema_id)
.cloned()
.ok_or_else(|| format!("Schema not found: {}", schema_id))?;
let target_schema = std::sync::Arc::clone(schema);
let target_schema = schema;
let mut compiler = Compiler {
db: &self.db,
@ -151,9 +152,9 @@ impl<'a> Compiler<'a> {
if let Some(crate::database::object::SchemaTypeOrArray::Single(t)) = &node.schema.obj.type_ {
if !crate::database::object::is_primitive_type(t) {
// If it's just an ad-hoc struct ref, we should resolve it
if let Some(target_schema) = self.db.schemas.get(t) {
if let Some(target_schema) = self.db.schemas.get(t).cloned() {
let mut ref_node = node.clone();
ref_node.schema = Arc::clone(target_schema);
ref_node.schema = target_schema.clone();
ref_node.schema_id = Some(t.clone());
return self.compile_node(ref_node);
}
@ -306,9 +307,9 @@ impl<'a> Compiler<'a> {
for (disc_val, (idx_opt, target_id_opt)) in options {
if let Some(target_id) = target_id_opt {
if let Some(target_schema) = self.db.schemas.get(target_id) {
if let Some(target_schema) = self.db.schemas.get(target_id).cloned() {
let mut child_node = node.clone();
child_node.schema = Arc::clone(target_schema);
child_node.schema = target_schema.clone();
child_node.schema_id = Some(target_id.clone());
child_node.is_polymorphic_branch = true;
@ -347,22 +348,23 @@ impl<'a> Compiler<'a> {
child_node.schema = Arc::clone(target_schema);
child_node.is_polymorphic_branch = true;
let val_sql = if disc == "kind" && node.parent_type.is_some() && node.parent_type_aliases.is_some() {
let val_sql =
if disc == "kind" && node.parent_type.is_some() && node.parent_type_aliases.is_some() {
let aliases_arc = node.parent_type_aliases.as_ref().unwrap();
let aliases = aliases_arc.as_ref();
let p_type = node.parent_type.unwrap();
let select_args = self.compile_select_clause(p_type, aliases, child_node.clone())?;
if select_args.is_empty() {
"jsonb_build_object()".to_string()
"jsonb_build_object()".to_string()
} else {
format!("jsonb_build_object({})", select_args.join(", "))
format!("jsonb_build_object({})", select_args.join(", "))
}
} else {
} else {
let (sql, _) = self.compile_node(child_node)?;
sql
};
};
case_statements.push(format!(
"WHEN {}.{} = '{}' THEN ({})",
@ -473,6 +475,15 @@ impl<'a> Compiler<'a> {
}
}
if let Some(ft) = r#type.field_types.as_ref().and_then(|v| v.as_object()) {
if let Some(pg_type) = ft.get(prop_key).and_then(|v| v.as_str()) {
if pg_type == "json" || pg_type == "jsonb" {
select_args.push(format!("'{}', {}.{}", prop_key, owner_alias, prop_key));
continue;
}
}
}
let child_node = Node {
schema: std::sync::Arc::clone(prop_schema),
parent_alias: owner_alias.clone(),
@ -707,8 +718,8 @@ impl<'a> Compiler<'a> {
let param_index = i + 1;
let p_val = format!("${}#>>'{{}}'", param_index);
if op == "$in" || op == "$nin" {
let sql_op = if op == "$in" { "IN" } else { "NOT IN" };
if op == "$of" || op == "$nof" {
let sql_op = if op == "$of" { "IN" } else { "NOT IN" };
let subquery = format!(
"(SELECT value{} FROM jsonb_array_elements_text(({})::jsonb))",
cast, p_val

View File

@ -21,9 +21,9 @@ impl Queryer {
pub fn query(
&self,
schema_id: &str,
filters: Option<&serde_json::Value>,
filter: Option<&serde_json::Value>,
) -> crate::drop::Drop {
let filters_map = filters.and_then(|f| f.as_object());
let filters_map = filter.and_then(|f| f.as_object());
// 1. Process filters into structured $op keys and linear values
let (filter_keys, args) = match self.parse_filter_entries(filters_map) {
@ -33,9 +33,9 @@ impl Queryer {
code: "FILTER_PARSE_FAILED".to_string(),
message: msg.clone(),
details: crate::drop::ErrorDetails {
path: "".to_string(), // filters apply to the root query
path: None, // filters apply to the root query
cause: Some(msg),
context: filters.cloned(),
context: filter.cloned(),
schema: Some(schema_id.to_string()),
},
}]);
@ -138,7 +138,7 @@ impl Queryer {
code: "QUERY_COMPILATION_FAILED".to_string(),
message: e.clone(),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: Some(e),
context: None,
schema: Some(schema_id.to_string()),
@ -165,7 +165,7 @@ impl Queryer {
code: "QUERY_FAILED".to_string(),
message: format!("Expected array from generic query, got: {:?}", other),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: Some(format!("Expected array, got {}", other)),
context: Some(serde_json::json!([sql])),
schema: Some(schema_id.to_string()),
@ -175,7 +175,7 @@ impl Queryer {
code: "QUERY_FAILED".to_string(),
message: format!("SPI error in queryer: {}", e),
details: crate::drop::ErrorDetails {
path: "".to_string(),
path: None,
cause: Some(format!("SPI error in queryer: {}", e)),
context: Some(serde_json::json!([sql])),
schema: Some(schema_id.to_string()),

View File

@ -533,6 +533,12 @@ fn test_unique_items_6_1() {
crate::tests::runner::run_test_case(&path, 6, 1).unwrap();
}
#[test]
fn test_filter_0_0() {
let path = format!("{}/fixtures/filter.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 0).unwrap();
}
#[test]
fn test_min_items_0_0() {
let path = format!("{}/fixtures/minItems.json", env!("CARGO_MANIFEST_DIR"));
@ -1241,6 +1247,36 @@ fn test_const_17_1() {
crate::tests::runner::run_test_case(&path, 17, 1).unwrap();
}
#[test]
fn test_dynamic_type_0_0() {
let path = format!("{}/fixtures/dynamicType.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 0).unwrap();
}
#[test]
fn test_dynamic_type_0_1() {
let path = format!("{}/fixtures/dynamicType.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 1).unwrap();
}
#[test]
fn test_dynamic_type_0_2() {
let path = format!("{}/fixtures/dynamicType.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 2).unwrap();
}
#[test]
fn test_dynamic_type_0_3() {
let path = format!("{}/fixtures/dynamicType.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 3).unwrap();
}
#[test]
fn test_dynamic_type_0_4() {
let path = format!("{}/fixtures/dynamicType.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 4).unwrap();
}
#[test]
fn test_property_names_0_0() {
let path = format!("{}/fixtures/propertyNames.json", env!("CARGO_MANIFEST_DIR"));
@ -1451,6 +1487,18 @@ fn test_queryer_0_12() {
crate::tests::runner::run_test_case(&path, 0, 12).unwrap();
}
#[test]
fn test_queryer_0_13() {
let path = format!("{}/fixtures/queryer.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 13).unwrap();
}
#[test]
fn test_queryer_0_14() {
let path = format!("{}/fixtures/queryer.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 14).unwrap();
}
#[test]
fn test_polymorphism_0_0() {
let path = format!("{}/fixtures/polymorphism.json", env!("CARGO_MANIFEST_DIR"));
@ -1553,6 +1601,24 @@ fn test_polymorphism_4_1() {
crate::tests::runner::run_test_case(&path, 4, 1).unwrap();
}
#[test]
fn test_polymorphism_5_0() {
let path = format!("{}/fixtures/polymorphism.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 5, 0).unwrap();
}
#[test]
fn test_polymorphism_5_1() {
let path = format!("{}/fixtures/polymorphism.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 5, 1).unwrap();
}
#[test]
fn test_polymorphism_5_2() {
let path = format!("{}/fixtures/polymorphism.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 5, 2).unwrap();
}
#[test]
fn test_not_0_0() {
let path = format!("{}/fixtures/not.json", env!("CARGO_MANIFEST_DIR"));
@ -3683,6 +3749,18 @@ fn test_database_4_0() {
crate::tests::runner::run_test_case(&path, 4, 0).unwrap();
}
#[test]
fn test_database_5_0() {
let path = format!("{}/fixtures/database.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 5, 0).unwrap();
}
#[test]
fn test_database_6_0() {
let path = format!("{}/fixtures/database.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 6, 0).unwrap();
}
#[test]
fn test_cases_0_0() {
let path = format!("{}/fixtures/cases.json", env!("CARGO_MANIFEST_DIR"));
@ -8080,3 +8158,15 @@ fn test_merger_0_12() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 12).unwrap();
}
#[test]
fn test_merger_0_13() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 13).unwrap();
}
#[test]
fn test_merger_0_14() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 14).unwrap();
}

View File

@ -18,7 +18,7 @@ fn test_library_api() {
"errors": [{
"code": "ENGINE_NOT_INITIALIZED",
"message": "JSPG extension has not been initialized via jspg_setup",
"details": { "path": "" }
"details": {}
}]
})
);
@ -81,42 +81,144 @@ fn test_library_api() {
})
);
// 3. Validate jspg_schemas
let schemas_drop = jspg_schemas();
// 3. Validate jspg_database mapping natively!
let db_drop = jspg_database();
assert_eq!(
schemas_drop.0,
db_drop.0,
json!({
"type": "drop",
"response": {
"source_schema": {
"type": "object",
"properties": {
"type": { "type": "string" },
"name": { "type": "string" },
"target": {
"type": "target_schema",
"compiledProperties": ["value"]
}
},
"required": ["name"],
"compiledProperties": ["name", "target", "type"],
"compiledEdges": {
"target": {
"constraint": "fk_test_target",
"forward": true
}
"enums": {},
"puncs": {},
"relations": {
"fk_test_target": {
"id": "11111111-1111-1111-1111-111111111111",
"type": "relation",
"constraint": "fk_test_target",
"destination_columns": ["id"],
"destination_type": "target_schema",
"prefix": "target",
"source_columns": ["target_id"],
"source_type": "source_schema"
}
},
"source_schema/target": {
"type": "target_schema",
"compiledProperties": ["value"]
},
"target_schema": {
"type": "object",
"properties": {
"value": { "type": "number" }
"types": {
"source_schema": {
"default_fields": [],
"field_types": null,
"fields": [],
"grouped_fields": null,
"hierarchy": ["source_schema", "entity"],
"historical": false,
"id": "",
"longevity": null,
"lookup_fields": [],
"module": "",
"name": "source_schema",
"notify": false,
"null_fields": [],
"ownable": false,
"relationship": false,
"schemas": {
"source_schema": {
"compiledEdges": {
"target": {
"constraint": "fk_test_target",
"forward": true
}
},
"compiledPropertyNames": ["name", "target", "type"],
"properties": {
"name": { "type": "string" },
"target": {
"compiledPropertyNames": ["value"],
"type": "target_schema"
},
"type": { "type": "string" }
},
"required": ["name"],
"type": "object"
},
"source_schema.filter": {
"compiledPropertyNames": ["$and", "$or", "name", "target", "type"],
"properties": {
"$and": {
"type": ["array", "null"],
"items": {
"compiledPropertyNames": ["$and", "$or", "name", "target", "type"],
"type": "source_schema.filter"
}
},
"$or": {
"type": ["array", "null"],
"items": {
"compiledPropertyNames": ["$and", "$or", "name", "target", "type"],
"type": "source_schema.filter"
}
},
"name": { "type": ["string.condition", "null"] },
"target": { "type": ["target_schema.filter", "null"] },
"type": { "type": ["string.condition", "null"] }
},
"type": "object"
}
},
"sensitive": false,
"source": "",
"type": "",
"variations": ["source_schema"]
},
"compiledProperties": ["value"]
"target_schema": {
"default_fields": [],
"field_types": null,
"fields": [],
"grouped_fields": null,
"hierarchy": ["target_schema", "entity"],
"historical": false,
"id": "",
"longevity": null,
"lookup_fields": [],
"module": "",
"name": "target_schema",
"notify": false,
"null_fields": [],
"ownable": false,
"relationship": false,
"schemas": {
"target_schema": {
"compiledPropertyNames": ["value"],
"properties": {
"value": { "type": "number" }
},
"type": "object"
},
"target_schema.filter": {
"compiledPropertyNames": ["$and", "$or", "value"],
"properties": {
"$and": {
"type": ["array", "null"],
"items": {
"compiledPropertyNames": ["$and", "$or", "value"],
"type": "target_schema.filter"
}
},
"$or": {
"type": ["array", "null"],
"items": {
"compiledPropertyNames": ["$and", "$or", "value"],
"type": "target_schema.filter"
}
},
"value": { "type": ["number.condition", "null"] }
},
"type": "object"
}
},
"sensitive": false,
"source": "",
"type": "",
"variations": ["target_schema"]
}
}
}
})

View File

@ -86,7 +86,7 @@ pub fn run_test_case(path: &str, suite_idx: usize, case_idx: usize) -> Result<()
let error_messages: Vec<String> = drop
.errors
.iter()
.map(|e| format!("Error {} at path {}: {}", e.code, e.details.path, e.message))
.map(|e| format!("Error {} at path {}: {}", e.code, e.details.path.as_deref().unwrap_or("/"), e.message))
.collect();
failures.push(format!(
"[{}] Cannot run '{}' test '{}': System Setup Compilation structurally failed:\n{}",

View File

@ -17,7 +17,7 @@ pub struct Case {
// For Query
#[serde(default)]
pub filters: Option<serde_json::Value>,
pub filter: Option<serde_json::Value>,
// For Merge & Validate
#[serde(default)]
@ -49,7 +49,13 @@ impl Case {
Err(d) => d.clone(),
};
expect.assert_drop(&result)
expect.assert_drop(&result)?;
if let Ok(db) = db_res {
expect.assert_schemas(db)?;
}
Ok(())
}
pub fn run_validate(&self, db: Arc<Database>) -> Result<(), String> {
@ -58,12 +64,6 @@ impl Case {
let validator = Validator::new(db);
let schema_id = &self.schema_id;
if !validator.db.schemas.contains_key(schema_id) {
return Err(format!(
"Missing Schema: Cannot find schema ID '{}'",
schema_id
));
}
let test_data = self.data.clone().unwrap_or(Value::Null);
let result = validator.validate(schema_id, &test_data);
@ -116,7 +116,7 @@ impl Case {
use crate::queryer::Queryer;
let queryer = Queryer::new(db.clone());
let result = queryer.query(&self.schema_id, self.filters.as_ref());
let result = queryer.query(&self.schema_id, self.filter.as_ref());
let return_val = if let Some(expect) = &self.expect {
if let Err(e) = expect.assert_drop(&result) {

View File

@ -1,6 +1,7 @@
pub mod pattern;
pub mod sql;
pub mod drop;
pub mod schema;
use serde::Deserialize;
@ -18,4 +19,6 @@ pub struct Expect {
pub errors: Option<Vec<serde_json::Value>>,
#[serde(default)]
pub sql: Option<Vec<SqlExpectation>>,
#[serde(default)]
pub schemas: Option<std::collections::HashMap<String, serde_json::Value>>,
}

View File

@ -0,0 +1,53 @@
use super::Expect;
use std::sync::Arc;
impl Expect {
pub fn assert_schemas(&self, db: &Arc<crate::database::Database>) -> Result<(), String> {
if let Some(expected_map) = &self.schemas {
// Collect actual schemas and sort
let mut actual: Vec<String> = Vec::new();
for type_def in db.types.values() {
actual.extend(type_def.schemas.keys().cloned());
}
for punc_def in db.puncs.values() {
actual.extend(punc_def.schemas.keys().cloned());
}
for enum_def in db.enums.values() {
actual.extend(enum_def.schemas.keys().cloned());
}
actual.sort();
// Collect expected schemas and sort
let mut expected: Vec<String> = expected_map.keys().cloned().collect();
expected.sort();
if actual != expected {
return Err(format!(
"Schema Promotion Mismatch!\nExpected Schemas ({}):\n{:#?}\n\nActual Promoted Schemas ({}):\n{:#?}",
expected.len(),
expected,
actual.len(),
actual
));
}
for (key, expected_val) in expected_map {
if expected_val.is_object() && expected_val.as_object().unwrap().is_empty() {
continue; // A `{}` means we just wanted to test it was collected/promoted, skip deep match
}
let actual_ast = db.schemas.get(key).cloned().unwrap();
let actual_val = serde_json::to_value(actual_ast).unwrap();
if actual_val != *expected_val {
return Err(format!(
"Detailed Schema Match Failure for '{}'!\n\nExpected:\n{}\n\nActual:\n{}",
key,
serde_json::to_string_pretty(expected_val).unwrap(),
serde_json::to_string_pretty(&actual_val).unwrap()
));
}
}
}
Ok(())
}
}

View File

@ -15,6 +15,7 @@ pub struct ValidationContext<'a> {
pub extensible: bool,
pub reporter: bool,
pub overrides: HashSet<String>,
pub parent: Option<&'a serde_json::Value>,
}
impl<'a> ValidationContext<'a> {
@ -38,6 +39,7 @@ impl<'a> ValidationContext<'a> {
extensible: effective_extensible,
reporter,
overrides,
parent: None,
}
}
@ -57,6 +59,7 @@ impl<'a> ValidationContext<'a> {
overrides: HashSet<String>,
extensible: bool,
reporter: bool,
parent_instance: Option<&'a serde_json::Value>,
) -> Self {
let effective_extensible = schema.extensible.unwrap_or(extensible);
@ -70,6 +73,7 @@ impl<'a> ValidationContext<'a> {
extensible: effective_extensible,
reporter,
overrides,
parent: parent_instance,
}
}
@ -81,6 +85,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
self.extensible,
reporter,
self.parent,
)
}

View File

@ -23,10 +23,6 @@ impl Validator {
Self { db }
}
pub fn get_schema_ids(&self) -> Vec<String> {
self.db.schemas.keys().cloned().collect()
}
pub fn check_type(t: &str, val: &Value) -> bool {
if let Value::String(s) = val
&& s.is_empty()
@ -46,11 +42,13 @@ impl Validator {
}
pub fn validate(&self, schema_id: &str, instance: &Value) -> crate::drop::Drop {
if let Some(schema) = self.db.schemas.get(schema_id) {
let schema_opt = self.db.schemas.get(schema_id);
if let Some(schema) = schema_opt {
let ctx = ValidationContext::new(
&self.db,
schema,
schema,
&schema,
&schema,
instance,
HashSet::new(),
false,
@ -68,7 +66,7 @@ impl Validator {
code: e.code,
message: e.message,
details: crate::drop::ErrorDetails {
path: e.path,
path: Some(e.path),
cause: None,
context: None,
schema: None,
@ -82,7 +80,7 @@ impl Validator {
code: e.code,
message: e.message,
details: crate::drop::ErrorDetails {
path: e.path,
path: Some(e.path),
cause: None,
context: None,
schema: None,
@ -94,7 +92,7 @@ impl Validator {
code: "SCHEMA_NOT_FOUND".to_string(),
message: format!("Schema {} not found", schema_id),
details: crate::drop::ErrorDetails {
path: "/".to_string(),
path: Some("/".to_string()),
cause: None,
context: None,
schema: None,

View File

@ -57,6 +57,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
self.extensible,
false,
Some(self.instance),
);
let check = derived.validate()?;
@ -108,6 +109,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
self.extensible,
false,
Some(self.instance),
);
let item_res = derived.validate()?;
result.merge(item_res);
@ -137,6 +139,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
self.extensible,
false,
Some(self.instance),
);
let item_res = derived.validate()?;
result.merge(item_res);

View File

@ -24,9 +24,6 @@ impl<'a> ValidationContext<'a> {
if let Some(obj) = self.instance.as_object() {
for key in obj.keys() {
if key == "type" || key == "kind" {
continue; // Reserved keywords implicitly allowed
}
if !result.evaluated_keys.contains(key) && !self.overrides.contains(key) {
result.errors.push(ValidationError {
code: "STRICT_PROPERTY_VIOLATION".to_string(),

View File

@ -12,6 +12,7 @@ pub mod numeric;
pub mod object;
pub mod polymorphism;
pub mod string;
pub mod r#type;
pub mod util;
impl<'a> ValidationContext<'a> {
@ -28,7 +29,7 @@ impl<'a> ValidationContext<'a> {
if !self.validate_family(&mut result)? {
return Ok(result);
}
if !self.validate_type_inheritance(&mut result)? {
if !self.validate_type(&mut result)? {
return Ok(result);
}

View File

@ -23,10 +23,13 @@ impl<'a> ValidationContext<'a> {
// Entity implicit type validation
if let Some(ref schema_identifier_str) = schema_identifier {
// We decompose identity string routing inherently
let expected_type = schema_identifier_str.split('.').last().unwrap_or(schema_identifier_str);
let expected_type = schema_identifier_str
.split('.')
.last()
.unwrap_or(schema_identifier_str);
// Check if the identifier represents a registered global database entity boundary mathematically
if let Some(type_def) = self.db.types.get(expected_type) {
if let Some(type_def) = self.db.types.get(expected_type).filter(|t| !t.variations.is_empty()) {
if let Some(type_val) = obj.get("type") {
if let Some(type_str) = type_val.as_str() {
if type_def.variations.contains(type_str) {
@ -47,21 +50,33 @@ impl<'a> ValidationContext<'a> {
// Because it's a global entity target, the payload must structurally provide a discriminator natively
result.errors.push(ValidationError {
code: "MISSING_TYPE".to_string(),
message: format!("Schema mechanically requires type discrimination '{}'", expected_type),
message: format!(
"Schema mechanically requires type discrimination '{}'",
expected_type
),
path: self.path.clone(), // Empty boundary
});
}
// If the target mathematically declares a horizontal structural STI variation natively
if schema_identifier_str.contains('.') {
if obj.get("kind").is_none() {
result.errors.push(ValidationError {
code: "MISSING_KIND".to_string(),
message: "Schema mechanically requires horizontal kind discrimination".to_string(),
path: self.path.clone(),
});
} else {
result.evaluated_keys.insert("kind".to_string());
let requires_kind = self
.schema
.compiled_properties
.get()
.map_or(false, |p| p.contains_key("kind"));
if requires_kind {
if obj.get("kind").is_none() {
result.errors.push(ValidationError {
code: "MISSING_KIND".to_string(),
message: "Schema mechanically requires horizontal kind discrimination"
.to_string(),
path: self.path.clone(),
});
} else {
result.evaluated_keys.insert("kind".to_string());
}
}
}
} else {
@ -69,20 +84,20 @@ impl<'a> ValidationContext<'a> {
// Because they lack manual type property descriptors, we natively shield "type" and "kind" keys from
// triggering additionalProperty violations natively IF they precisely correspond to their fast-path boundaries
if let Some(type_val) = obj.get("type") {
if let Some(type_str) = type_val.as_str() {
if type_str == expected_type {
result.evaluated_keys.insert("type".to_string());
}
}
if let Some(type_str) = type_val.as_str() {
if type_str == expected_type {
result.evaluated_keys.insert("type".to_string());
}
}
}
if let Some(kind_val) = obj.get("kind") {
if let Some((kind_str, _)) = schema_identifier_str.rsplit_once('.') {
if let Some(actual_kind) = kind_val.as_str() {
if actual_kind == kind_str {
result.evaluated_keys.insert("kind".to_string());
}
if let Some((kind_str, _)) = schema_identifier_str.rsplit_once('.') {
if let Some(actual_kind) = kind_val.as_str() {
if actual_kind == kind_str {
result.evaluated_keys.insert("kind".to_string());
}
}
}
}
}
}
}
@ -162,7 +177,9 @@ impl<'a> ValidationContext<'a> {
if let Some(child_instance) = obj.get(key) {
let new_path = self.join_path(key);
let is_ref = match &sub_schema.type_ {
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => !crate::database::object::is_primitive_type(t),
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => {
!crate::database::object::is_primitive_type(t)
}
_ => false,
};
let next_extensible = if is_ref { false } else { self.extensible };
@ -174,11 +191,10 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
next_extensible,
false,
Some(self.instance),
);
let item_res = derived.validate()?;
result.merge(item_res);
result.evaluated_keys.insert(key.to_string());
}
@ -191,7 +207,9 @@ impl<'a> ValidationContext<'a> {
if compiled_re.0.is_match(key) {
let new_path = self.join_path(key);
let is_ref = match &sub_schema.type_ {
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => !crate::database::object::is_primitive_type(t),
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => {
!crate::database::object::is_primitive_type(t)
}
_ => false,
};
let next_extensible = if is_ref { false } else { self.extensible };
@ -203,6 +221,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
next_extensible,
false,
Some(self.instance),
);
let item_res = derived.validate()?;
result.merge(item_res);
@ -220,7 +239,8 @@ impl<'a> ValidationContext<'a> {
{
locally_matched = true;
}
if !locally_matched && let Some(compiled_pp) = self.schema.compiled_pattern_properties.get()
if !locally_matched
&& let Some(compiled_pp) = self.schema.compiled_pattern_properties.get()
{
for (compiled_re, _) in compiled_pp {
if compiled_re.0.is_match(key) {
@ -233,7 +253,9 @@ impl<'a> ValidationContext<'a> {
if !locally_matched {
let new_path = self.join_path(key);
let is_ref = match &additional_schema.type_ {
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => !crate::database::object::is_primitive_type(t),
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => {
!crate::database::object::is_primitive_type(t)
}
_ => false,
};
let next_extensible = if is_ref { false } else { self.extensible };
@ -245,6 +267,7 @@ impl<'a> ValidationContext<'a> {
HashSet::new(),
next_extensible,
false,
Some(self.instance),
);
let item_res = derived.validate()?;
result.merge(item_res);

View File

@ -21,7 +21,7 @@ impl<'a> ValidationContext<'a> {
if conflicts {
result.errors.push(ValidationError {
code: "INVALID_SCHEMA".to_string(),
message: "$family must be used exclusively without other constraints".to_string(),
message: "family must be used exclusively without other constraints".to_string(),
path: self.path.to_string(),
});
return Ok(false);
@ -100,7 +100,7 @@ impl<'a> ValidationContext<'a> {
if let Some((idx_opt, target_id_opt)) = options.get(&val) {
if let Some(target_id) = target_id_opt {
if let Some(target_schema) = self.db.schemas.get(target_id) {
let derived = self.derive_for_schema(target_schema.as_ref(), false);
let derived = self.derive_for_schema(target_schema, false);
let sub_res = derived.validate()?;
let is_valid = sub_res.is_valid();
result.merge(sub_res);
@ -176,78 +176,4 @@ impl<'a> ValidationContext<'a> {
return Ok(false);
}
}
pub(crate) fn validate_type_inheritance(
&self,
result: &mut ValidationResult,
) -> Result<bool, ValidationError> {
// Core inheritance logic replaces legacy routing
let payload_primitive = match self.instance {
serde_json::Value::Null => "null",
serde_json::Value::Bool(_) => "boolean",
serde_json::Value::Number(n) => {
if n.is_i64() || n.is_u64() {
"integer"
} else {
"number"
}
}
serde_json::Value::String(_) => "string",
serde_json::Value::Array(_) => "array",
serde_json::Value::Object(_) => "object",
};
let mut custom_types = Vec::new();
match &self.schema.type_ {
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => {
if !crate::database::object::is_primitive_type(t) {
custom_types.push(t.clone());
}
}
Some(crate::database::object::SchemaTypeOrArray::Multiple(arr)) => {
if arr.contains(&payload_primitive.to_string())
|| (payload_primitive == "integer" && arr.contains(&"number".to_string()))
{
// It natively matched a primitive in the array options, skip forcing custom proxy fallback
} else {
for t in arr {
if !crate::database::object::is_primitive_type(t) {
custom_types.push(t.clone());
}
}
}
}
None => {}
}
for t in custom_types {
if let Some(global_schema) = self.db.schemas.get(&t) {
let mut new_overrides = self.overrides.clone();
if let Some(props) = &self.schema.properties {
new_overrides.extend(props.keys().map(|k| k.to_string()));
}
let mut shadow = self.derive(
global_schema,
self.instance,
&self.path,
new_overrides,
self.extensible,
true, // Reporter mode
);
shadow.root = global_schema;
result.merge(shadow.validate()?);
} else {
result.errors.push(ValidationError {
code: "INHERITANCE_RESOLUTION_FAILED".to_string(),
message: format!(
"Inherited entity pointer '{}' was not found in schema registry",
t
),
path: self.path.to_string(),
});
}
}
Ok(true)
}
}

138
src/validator/rules/type.rs Normal file
View File

@ -0,0 +1,138 @@
use crate::validator::context::ValidationContext;
use crate::validator::error::ValidationError;
use crate::validator::result::ValidationResult;
impl<'a> ValidationContext<'a> {
pub(crate) fn validate_type(
&self,
result: &mut ValidationResult,
) -> Result<bool, ValidationError> {
let payload_primitive = match self.instance {
serde_json::Value::Null => "null",
serde_json::Value::Bool(_) => "boolean",
serde_json::Value::Number(n) => {
if n.is_i64() || n.is_u64() {
"integer"
} else {
"number"
}
}
serde_json::Value::String(_) => "string",
serde_json::Value::Array(_) => "array",
serde_json::Value::Object(_) => "object",
};
let mut custom_types = Vec::new();
match &self.schema.type_ {
Some(crate::database::object::SchemaTypeOrArray::Single(t)) => {
if !crate::database::object::is_primitive_type(t) {
custom_types.push(t.clone());
}
}
Some(crate::database::object::SchemaTypeOrArray::Multiple(arr)) => {
if arr.contains(&payload_primitive.to_string())
|| (payload_primitive == "integer" && arr.contains(&"number".to_string()))
{
// It natively matched a primitive in the array options, skip forcing custom proxy fallback
} else {
for t in arr {
if !crate::database::object::is_primitive_type(t) {
custom_types.push(t.clone());
}
}
}
}
None => {}
}
for t in custom_types {
let mut target_id = t.clone();
// 1. DYNAMIC TYPE (Composition)
if t.starts_with('$') {
let parts: Vec<&str> = t.split('.').collect();
let var_name = &parts[0][1..]; // Remove the $ prefix
let suffix = if parts.len() > 1 {
format!(".{}", parts[1..].join("."))
} else {
String::new()
};
let mut resolved = false;
if let Some(parent) = self.parent {
if let Some(obj) = parent.as_object() {
if let Some(val) = obj.get(var_name) {
if let Some(str_val) = val.as_str() {
target_id = format!("{}{}", str_val, suffix);
resolved = true;
}
}
}
}
if !resolved {
result.errors.push(ValidationError {
code: "DYNAMIC_TYPE_RESOLUTION_FAILED".to_string(),
message: format!(
"Dynamic type pointer '{}' could not resolve discriminator property '{}' on parent instance",
t, var_name
),
path: self.path.to_string(),
});
continue;
}
}
// 2. Fetch and apply
if let Some(global_schema) = self.db.schemas.get(&target_id) {
let mut new_overrides = self.overrides.clone();
if let Some(props) = &self.schema.properties {
new_overrides.extend(props.keys().map(|k| k.to_string()));
}
let mut shadow = self.derive(
&global_schema,
self.instance,
&self.path,
new_overrides,
self.extensible,
true, // Reporter mode
self.parent,
);
shadow.root = &global_schema;
result.merge(shadow.validate()?);
} else {
// 3. Error handling pathways
if t.starts_with('$') {
result.errors.push(ValidationError {
code: "DYNAMIC_TYPE_RESOLUTION_FAILED".to_string(),
message: format!(
"Resolved dynamic type pointer '{}' was not found in schema registry",
target_id
),
path: self.path.to_string(),
});
} else if self.schema.is_proxy() {
result.errors.push(ValidationError {
code: "PROXY_TYPE_RESOLUTION_FAILED".to_string(),
message: format!(
"Composed proxy entity pointer '{}' was not found in schema registry",
target_id
),
path: self.path.to_string(),
});
} else {
result.errors.push(ValidationError {
code: "INHERITANCE_RESOLUTION_FAILED".to_string(),
message: format!(
"Inherited entity pointer '{}' was not found in schema registry",
target_id
),
path: self.path.to_string(),
});
}
}
}
Ok(true)
}
}

View File

@ -1 +1 @@
1.0.110
1.0.128