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1.0.83 ... main

Author SHA1 Message Date
93b0a70718 version: 1.0.96 2026-03-27 02:28:53 -04:00
9c24f1af8f fixed issue where merge lookups with no changes were not generating a notification 2026-03-27 02:08:45 -04:00
f9cf1f837a version: 1.0.95 2026-03-27 01:18:41 -04:00
796df7763c added replaces field to merge for the notification when a lookup is successful 2026-03-27 01:18:36 -04:00
4a10833f50 version: 1.0.94 2026-03-26 23:50:03 -04:00
46fc032026 fixed merge lookup issue 2026-03-26 23:49:52 -04:00
7ec06b81cc version: 1.0.93 2026-03-26 22:28:18 -04:00
c4e8e0309f removed initial / in validator making paths consistent across validate merger and queryer 2026-03-26 22:27:59 -04:00
eb91b65e65 version: 1.0.92 2026-03-26 14:06:40 -04:00
8bf3649465 validator now uses hybrid uuid and numeric index pathing 2026-03-26 14:06:24 -04:00
9fe5a34163 version: 1.0.91 2026-03-25 21:37:15 -04:00
f5bf21eb58 fixed root array queries 2026-03-25 21:37:01 -04:00
9dcafed406 version: 1.0.90 2026-03-25 19:32:02 -04:00
ffd6c27da3 more pg try catching and error handling 2026-03-25 19:31:51 -04:00
4941dc6069 doc update 2026-03-23 19:07:45 -04:00
a8a15a82ef version: 1.0.89 2026-03-23 16:41:41 -04:00
8dcc714963 fixed target_type restrictions in where clauses 2026-03-23 16:41:34 -04:00
f87ac81f3b pre-script-fix 2026-03-23 16:34:45 -04:00
8ca9017cc4 version: 1.0.88 2026-03-23 14:37:29 -04:00
10c57e59ec fixed nested filtering syntax 2026-03-23 14:37:22 -04:00
ef4571767c version: 1.0.87 2026-03-23 12:49:36 -04:00
29bd25eaff fixed filter override for archived 2026-03-23 12:49:30 -04:00
4d9b510819 version: 1.0.86 2026-03-23 12:26:03 -04:00
3c4b1066df fixed merger with anchor test issue 2026-03-23 12:25:55 -04:00
4c59d9ba7f version: 1.0.85 2026-03-23 12:05:47 -04:00
a1038490dd tested nested merging with anchors 2026-03-23 12:05:34 -04:00
14707330a7 subschema id queryer test added 2026-03-22 05:54:31 -04:00
77bc92533c version: 1.0.84 2026-03-22 03:35:54 -04:00
4060119b01 schema ids can now contain a subschema 2026-03-22 03:35:47 -04:00
23 changed files with 1486 additions and 1171 deletions

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@ -7,22 +7,29 @@
JSPG operates by deeply integrating the JSON Schema Draft 2020-12 specification directly into the Postgres session lifecycle. It is built around three core pillars:
* **Validator**: In-memory, near-instant JSON structural validation and type polymorphism routing.
* **Merger**: Automatically traverse and UPSERT deeply nested JSON graphs into normalized relational tables.
* **Queryer**: Compile JSON Schemas into static, cached SQL SPI `SELECT` plans for fetching full entities or isolated "Stems".
* **Queryer**: Compile JSON Schemas into static, cached SQL SPI `SELECT` plans for fetching full entities or isolated ad-hoc object boundaries.
### 🎯 Goals
1. **Draft 2020-12 Compliance**: Attempt to adhere to the official JSON Schema Draft 2020-12 specification.
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 `$family` references natively mapped to Postgres table constraints.
5. **Reactive Beats**: Provide natively generated "Stems" (isolated payload fragments) for dynamic websocket reactivity.
5. **Reactive Beats**: Provide ultra-fast natively generated flat payloads mapping directly to the Dart topological state for dynamic websocket reactivity.
### Concurrency & Threading ("Immutable Graphs")
To support high-throughput operations while allowing for runtime updates (e.g., during hot-reloading), JSPG uses an **Atomic Swap** pattern:
1. **Parser Phase**: Schema JSONs are parsed into ordered `Schema` structs.
2. **Compiler Phase**: The database iterates all parsed schemas and pre-computes native optimization maps (Descendants Map, Depths Map, Variations Map).
3. **Immutable Validator**: The `Validator` struct immutably owns the `Database` registry and all its global maps. Schemas themselves are completely frozen; `$ref` strings are resolved dynamically at runtime using pre-computed O(1) maps.
3. **Immutable AST Caching**: The `Validator` struct immutably owns the `Database` registry. Schemas themselves are frozen structurally, but utilize `OnceLock` interior mutability during the Compilation Phase to permanently cache resolved `$ref` inheritances, properties, and `compiled_edges` directly onto their AST nodes. This guarantees strict `O(1)` relationship and property validation execution at runtime without locking or recursive DB polling.
4. **Lock-Free Reads**: Incoming operations acquire a read lock just long enough to clone the `Arc` inside an `RwLock<Option<Arc<Validator>>>`, ensuring zero blocking during schema updates.
### Global API Reference
These functions operate on the global `GLOBAL_JSPG` engine instance and provide administrative boundaries:
* `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.
---
## 2. Validator
@ -30,10 +37,7 @@ To support high-throughput operations while allowing for runtime updates (e.g.,
The Validator provides strict, schema-driven evaluation for the "Punc" architecture.
### API Reference
* `jspg_setup(database jsonb) -> jsonb`: Loads and compiles the entire registry (types, enums, puncs, relations) atomically.
* `mask_json_schema(schema_id text, instance jsonb) -> jsonb`: Validates and prunes unknown properties dynamically, returning masked data.
* `jspg_validate(schema_id text, instance jsonb) -> jsonb`: Returns boolean-like success or structured errors.
* `jspg_teardown() -> jsonb`: Clears the current session's schema cache.
* `jspg_validate(schema_id text, instance jsonb) -> jsonb`: Validates the `instance` JSON payload strictly against the constraints of the registered `schema_id`. Returns boolean-like success or structured error codes.
### Custom Features & Deviations
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.
@ -69,11 +73,14 @@ To simplify frontend form validation, format validators specifically for `uuid`,
## 3. Merger
The Merger provides an automated, high-performance graph synchronization engine via the `jspg_merge(cue JSONB)` API. It orchestrates the complex mapping of nested JSON objects into normalized Postgres relational tables, honoring all inheritance and graph constraints.
The Merger provides an automated, high-performance graph synchronization engine. It orchestrates the complex mapping of nested JSON objects into normalized Postgres relational tables, honoring all inheritance and graph constraints.
### API Reference
* `jspg_merge(schema_id text, data jsonb) -> jsonb`: Traverses the provided JSON payload according to the compiled relational map of `schema_id`. Dynamically builds and executes relational SQL UPSERT paths natively.
### Core Features
* **Caching Strategy**: The Merger leverages the `Validator`'s in-memory `Database` registry to instantly resolve Foreign Key mapping graphs. It additionally utilizes the concurrent `GLOBAL_JSPG` application memory (`DashMap`) to cache statically constructed SQL `SELECT` strings used during deduplication (`lk_`) and difference tracking calculations.
* **Caching Strategy**: The Merger leverages the native `compiled_edges` permanently cached onto the Schema AST via `OnceLock` to instantly resolve Foreign Key mapping graphs natively in absolute `O(1)` time. It additionally utilizes the concurrent `GLOBAL_JSPG` application memory (`DashMap`) to cache statically constructed SQL `SELECT` strings used during deduplication (`lk_`) and difference tracking calculations.
* **Deep Graph Merging**: The Merger walks arbitrary levels of deeply nested JSON schemas (e.g. tracking an `order`, its `customer`, and an array of its `lines`). It intelligently discovers the correct parent-to-child or child-to-parent Foreign Keys stored in the registry and automatically maps the UUIDs across the relationships during UPSERT.
* **Prefix Foreign Key Matching**: Handles scenario where multiple relations point to the same table by using database Foreign Key constraint prefixes (`fk_`). For example, if a schema has `shipping_address` and `billing_address`, the merger resolves against `fk_shipping_address_entity` vs `fk_billing_address_entity` automatically to correctly route object properties.
* **Dynamic Deduplication & Lookups**: If a nested object is provided without an `id`, the Merger utilizes Postgres `lk_` index constraints defined in the schema registry (e.g. `lk_person` mapped to `first_name` and `last_name`). It dynamically queries these unique matching constraints to discover the correct UUID to perform an UPDATE, preventing data duplication.
@ -91,7 +98,10 @@ The Merger provides an automated, high-performance graph synchronization engine
## 4. Queryer
The Queryer transforms Postgres into a pre-compiled Semantic Query Engine via the `jspg_query(schema_id text, cue jsonb)` API, designed to serve the exact shape of Punc responses directly via SQL.
The Queryer transforms Postgres into a pre-compiled Semantic Query Engine, designed to serve the exact shape of Punc responses directly via SQL.
### API Reference
* `jspg_query(schema_id text, filters jsonb) -> jsonb`: Compiles the JSON Schema AST of `schema_id` directly into pre-planned, nested multi-JOIN SQL execution trees. Processes `filters` structurally.
### Core Features
@ -108,22 +118,11 @@ The Queryer transforms Postgres into a pre-compiled Semantic Query Engine via th
* **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 `JOIN`s for each variation.
* **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.
### The Stem Engine
### Ad-Hoc Schema Promotion
Rather than over-fetching heavy Entity payloads and trimming them, Punc Framework Websockets depend on isolated subgraphs defined as **Stems**.
A `Stem` is a declaration of an **Entity Type boundary** that exists somewhere within the compiled JSON Schema graph, expressed using **`gjson` multipath syntax** (e.g., `contacts.#.phone_numbers.#`).
Because `pg_notify` (Beats) fire rigidly from physical Postgres tables (e.g. `{"type": "phone_number"}`), the Go Framework only ever needs to know: "Does the schema `with_contacts.person` contain the `phone_number` Entity anywhere inside its tree, and if so, what is the gjson path to iterate its payload?"
* **Initialization:** During startup (`jspg_stems()`), the database crawls all Schemas and maps out every physical Entity Type it references. It builds a highly optimized `HashMap<String, HashMap<String, Arc<Stem>>>` providing strictly `O(1)` memory lookups mapping `Schema ID -> { Stem Path -> Entity Type }`.
* **GJSON Pathing:** Unlike standard JSON Pointers, stems utilize `.#` array iterator syntax. The Go web server consumes this native path (e.g. `lines.#`) across the raw Postgres JSON byte payload, extracting all active UUIDs in one massive sub-millisecond sweep without unmarshaling Go ASTs.
* **Polymorphic Condition Selectors:** When trailing paths would otherwise collide because of abstract polymorphic type definitions (e.g., a `target` property bounded by a `oneOf` taking either `phone_number` or `email_address`), JSPG natively appends evaluated `gjson` type conditions into the path (e.g. `contacts.#.target#(type=="phone_number")`). This guarantees `O(1)` key uniqueness in the HashMap while retaining extreme array extraction speeds natively without runtime AST evaluation.
* **Identifier Prioritization:** When determining if a nested object boundary is an Entity, JSPG natively prioritizes defined `$id` tags over `$ref` inheritance pointers to prevent polymorphic boundaries from devolving into their generic base classes.
* **Cyclical Deduplication:** Because Punc relationships often reference back on themselves via deeply nested classes, the Stem Engine applies intelligent path deduplication. If the active `current_path` already ends with the target entity string, it traverses the inheritance properties without appending the entity to the stem path again, eliminating infinite powerset loops.
* **Relationship Path Squashing:** When calculating string paths structurally, JSPG intentionally **omits** properties natively named `target` or `source` if they belong to a native database `relationship` table override.
* **The Go Router**: The Golang Punc framework uses this exact mapping to register WebSocket Beat frequencies exclusively on the Entity types discovered.
* **The Queryer Execution**: When the Go framework asks JSPG to hydrate a partial `phone_number` stem for the `with_contacts.person` schema, instead of jumping through string paths, the SQL Compiler simply reaches into the Schema's AST using the `phone_number` Type string, pulls out exactly that entity's mapping rules, and returns a fully correlated `SELECT` block! This natively handles nested array properties injected via `oneOf` or array references efficiently bypassing runtime powerset expansion.
* **Performance:** These Stem execution structures are fully statically compiled via SPI and map perfectly to `O(1)` real-time routing logic on the application tier.
To seamlessly support deeply nested, inline Object definitions that don't declare an explicit `$id`, JSPG aggressively promotes them to standalone topological entities during the database compilation phase.
* **Hash Generation:** While evaluating the unified graph, if the compiler enters an `Object` or `Array` structure completely lacking an `$id`, it dynamically calculates a localized hash alias representing exactly its structural constraints.
* **Promotion:** This inline chunk is mathematically elevated to its own `$id` in the `db.schemas` cache registry. This guarantees that $O(1)$ WebSockets or isolated queries can natively target any arbitrary sub-object of a massive database topology directly without recursively re-parsing its parent's AST block every read.
## 5. Testing & Execution Architecture

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LOOKUP_VERIFICATION.md Normal file
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@ -0,0 +1,58 @@
# The Postgres Partial Index Claiming Pattern
This document outlines the architectural strategy for securely handling the deduplication, claiming, and verification of sensitive unique identifiers (like email addresses or phone numbers) strictly through PostgreSQL without requiring "magical" logic in the JSPG `Merger`.
## The Denial of Service (DoS) Squatter Problem
If you enforce a standard `UNIQUE` constraint on an email address table:
1. Malicious User A signs up and adds `jeff.bezos@amazon.com` to their account but never verifies it.
2. The real Jeff Bezos signs up.
3. The Database blocks Jeff because the unique string already exists.
The squatter has effectively locked the legitimate owner out of the system.
## The Anti-Patterns
1. **Global Entity Flags**: Adding a global `verified` boolean to the root `entity` table forces unrelated objects (like Widgets, Invoices, Orders) to carry verification logic that doesn't belong to them.
2. **Magical Merger Logic**: Making JSPG's `Merger` aware of a specific `verified` field breaks its pure structural translation model. The Merger shouldn't need hardcoded conditional logic to know if it's allowed to update an unverified row.
## The Solution: Postgres Partial Unique Indexes
The holy grail is to defer all claiming logic natively to the database engine using a **Partial Unique Index**.
```sql
-- Remove any existing global unique constraint on address first
CREATE UNIQUE INDEX lk_email_address_verified
ON email_address (address)
WHERE verified_at IS NOT NULL;
```
### How the Lifecycle Works Natively
1. **Unverified Squatters (Isolated Rows):**
A hundred different users can send `{ "address": "jeff.bezos@amazon.com" }` through the `save_person` Punc. Because the Punc isolates them and doesn't allow setting the `verified_at` property natively (enforced by the JSON schema), the JSPG Merger inserts `NULL`.
Postgres permits all 100 `INSERT` commands to succeed because the Partial Index **ignores** rows where `verified_at IS NULL`. Every user gets their own isolated, unverified row acting as a placeholder on their contact edge.
2. **The Verification Race (The Claim):**
The real Jeff clicks his magic verification link. The backend securely executes a specific verification Punc that runs:
`UPDATE email_address SET verified_at = now() WHERE id = <jeff's-real-uuid>`
3. **The Lockout:**
Because Jeff's row now strictly satisfies `verified_at IS NOT NULL`, that exact row enters the Partial Unique Index.
If any of the other 99 squatters *ever* click their fake verification links (or if a new user tries to verify that same email), PostgreSQL hits the index and violently throws a **Unique Constraint Violation**, flawlessly blocking them. The winner has permanently claimed the slot across the entire environment!
### Periodic Cleanup
Since unverified rows are allowed to accumulate without colliding, a simple Postgres `pg_cron` job or backend worker can sweep the table nightly to prune abandoned claims and preserve storage:
```sql
DELETE FROM email_address
WHERE verified_at IS NULL
AND created_at < NOW() - INTERVAL '24 hours';
```
### Why this is the Ultimate Architecture
* The **JSPG Merger** remains mathematically pure. It doesn't know what `verified_at` is; it simply respects the database's structural limits (`O(1)` pure translation).
* **Row-Level Security (RLS)** naturally blocks users from seeing or claiming each other's unverified rows.
* You offload complex race-condition tracking entirely to the C-level PostgreSQL B-Tree indexing engine, guaranteeing absolute cluster-wide atomicity.

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d1.json
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@ -1,819 +0,0 @@
{
"database": {
"puncs": [],
"enums": [
{
"id": "11111111-1111-1111-1111-111111111111",
"type": "relation_type",
"enum": "relation_type",
"values": [
"foreign_key",
"polymorphic",
"graph"
]
}
],
"relations": [
{
"id": "22222222-2222-2222-2222-222222222222",
"type": "relation",
"constraint": "fk_order_customer",
"source_type": "order",
"source_columns": [
"customer_id"
],
"destination_type": "person",
"destination_columns": [
"id"
],
"prefix": "customer"
},
{
"id": "33333333-3333-3333-3333-333333333333",
"type": "relation",
"constraint": "fk_order_line_order",
"source_type": "order_line",
"source_columns": [
"order_id"
],
"destination_type": "order",
"destination_columns": [
"id"
],
"prefix": "lines"
},
{
"id": "44444444-4444-4444-4444-444444444444",
"type": "relation",
"constraint": "fk_relationship_source_entity",
"source_type": "relationship",
"source_columns": [
"source_id",
"source_type"
],
"destination_type": "entity",
"destination_columns": [
"id",
"type"
],
"prefix": "source"
},
{
"id": "55555555-5555-5555-5555-555555555555",
"type": "relation",
"constraint": "fk_relationship_target_entity",
"source_type": "relationship",
"source_columns": [
"target_id",
"target_type"
],
"destination_type": "entity",
"destination_columns": [
"id",
"type"
],
"prefix": "target"
}
],
"types": [
{
"name": "entity",
"schemas": [
{
"$id": "entity",
"type": "object",
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"archived": {
"type": "boolean"
},
"created_by": {
"type": "string"
},
"modified_by": {
"type": "string"
},
"created_at": {
"type": "string",
"format": "date-time"
},
"modified_at": {
"type": "string",
"format": "date-time"
}
},
"required": [
"id",
"type",
"created_by",
"created_at",
"modified_by",
"modified_at"
]
}
],
"hierarchy": [
"entity"
],
"fields": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "organization",
"schemas": [
{
"$id": "organization",
"$ref": "entity",
"properties": {
"name": {
"type": "string"
}
}
}
],
"hierarchy": [
"organization",
"entity"
],
"fields": [
"id",
"type",
"name",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"organization": [
"id",
"type",
"name"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "user",
"schemas": [
{
"$id": "user",
"$ref": "organization",
"properties": {}
}
],
"hierarchy": [
"user",
"organization",
"entity"
],
"fields": [
"id",
"type",
"name",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"user": [
"id",
"type"
],
"organization": [
"id",
"type",
"name"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "person",
"schemas": [
{
"$id": "person",
"$ref": "user",
"properties": {
"first_name": {
"type": "string"
},
"last_name": {
"type": "string"
},
"date_of_birth": {
"type": "string"
},
"pronouns": {
"type": "string"
},
"contact_id": {
"type": "string"
},
"contacts": {
"type": "array",
"items": {
"$ref": "contact",
"properties": {
"target": {
"oneOf": [
{
"$ref": "phone_number"
},
{
"$ref": "email_address"
}
]
}
}
}
}
}
}
],
"hierarchy": [
"person",
"user",
"organization",
"entity"
],
"fields": [
"id",
"type",
"first_name",
"last_name",
"date_of_birth",
"pronouns",
"contact_id",
"name",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"person": [
"id",
"type",
"first_name",
"last_name",
"date_of_birth",
"pronouns",
"contact_id"
],
"user": [
"id",
"type"
],
"organization": [
"id",
"type",
"name"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [
"first_name",
"last_name",
"date_of_birth",
"pronouns"
],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "order",
"schemas": [
{
"$id": "order",
"$ref": "entity",
"properties": {
"total": {
"type": "number"
},
"customer_id": {
"type": "string"
},
"customer": {
"$ref": "person"
},
"lines": {
"type": "array",
"items": {
"$ref": "order_line"
}
}
}
}
],
"hierarchy": [
"order",
"entity"
],
"fields": [
"id",
"type",
"total",
"customer_id",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"order": [
"id",
"type",
"total",
"customer_id"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [
"id"
],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "order_line",
"schemas": [
{
"$id": "order_line",
"$ref": "entity",
"properties": {
"order_id": {
"type": "string"
},
"product": {
"type": "string"
},
"price": {
"type": "number"
}
}
}
],
"hierarchy": [
"order_line",
"entity"
],
"fields": [
"id",
"type",
"order_id",
"product",
"price",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"order_line": [
"id",
"type",
"order_id",
"product",
"price"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "relationship",
"relationship": true,
"hierarchy": [
"relationship",
"entity"
],
"fields": [
"source_id",
"source_type",
"target_id",
"target_type",
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"grouped_fields": {
"entity": [
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"relationship": [
"source_id",
"source_type",
"target_id",
"target_type"
]
},
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"source_id": "uuid",
"source_type": "text",
"target_id": "uuid",
"target_type": "text",
"name": "text",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"schemas": [
{
"$id": "relationship",
"$ref": "entity",
"properties": {}
}
],
"lookup_fields": [],
"historical": true,
"notify": true
},
{
"name": "contact",
"relationship": true,
"hierarchy": [
"contact",
"relationship",
"entity"
],
"fields": [
"is_primary",
"source_id",
"source_type",
"target_id",
"target_type",
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"grouped_fields": {
"entity": [
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"relationship": [
"source_id",
"source_type",
"target_id",
"target_type"
],
"contact": [
"is_primary"
]
},
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"source_id": "uuid",
"source_type": "text",
"target_id": "uuid",
"target_type": "text",
"is_primary": "boolean",
"name": "text",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"schemas": [
{
"$id": "contact",
"$ref": "relationship",
"properties": {
"is_primary": {
"type": "boolean"
}
}
}
],
"lookup_fields": [],
"historical": true,
"notify": true
},
{
"name": "phone_number",
"hierarchy": [
"phone_number",
"entity"
],
"fields": [
"number",
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"grouped_fields": {
"entity": [
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"phone_number": [
"number"
]
},
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"number": "text",
"name": "text",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"schemas": [
{
"$id": "phone_number",
"$ref": "entity",
"properties": {
"number": {
"type": "string"
}
}
}
],
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "email_address",
"hierarchy": [
"email_address",
"entity"
],
"fields": [
"address",
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"grouped_fields": {
"entity": [
"id",
"type",
"name",
"archived",
"created_at",
"created_by",
"modified_at",
"modified_by"
],
"email_address": [
"address"
]
},
"field_types": {
"id": "uuid",
"type": "text",
"archived": "boolean",
"address": "text",
"name": "text",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid"
},
"schemas": [
{
"$id": "email_address",
"$ref": "entity",
"properties": {
"address": {
"type": "string"
}
}
}
],
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
},
{
"name": "attachment",
"schemas": [
{
"$id": "type_metadata",
"type": "object",
"properties": {
"type": {
"type": "string"
}
}
},
{
"$id": "other_metadata",
"type": "object",
"properties": {
"other": {
"type": "string"
}
}
},
{
"$id": "attachment",
"$ref": "entity",
"properties": {
"flags": {
"type": "array",
"items": {
"type": "string"
}
},
"type_metadata": {
"$ref": "type_metadata"
},
"other_metadata": {
"$ref": "other_metadata"
}
}
}
],
"hierarchy": [
"attachment",
"entity"
],
"fields": [
"id",
"type",
"flags",
"type_metadata",
"other_metadata",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
],
"grouped_fields": {
"attachment": [
"id",
"type",
"flags",
"type_metadata",
"other_metadata"
],
"entity": [
"id",
"type",
"created_at",
"created_by",
"modified_at",
"modified_by",
"archived"
]
},
"field_types": {
"id": "uuid",
"type": "text",
"flags": "_text",
"type_metadata": "jsonb",
"other_metadata": "jsonb",
"created_at": "timestamptz",
"created_by": "uuid",
"modified_at": "timestamptz",
"modified_by": "uuid",
"archived": "boolean"
},
"lookup_fields": [],
"historical": true,
"notify": true,
"relationship": false
}
]
}
}

View File

@ -142,7 +142,7 @@
"errors": [
{
"code": "CONST_VIOLATED",
"path": "/con"
"path": "con"
}
]
}

View File

@ -48,7 +48,7 @@
"errors": [
{
"code": "TYPE_MISMATCH",
"path": "/base_prop"
"path": "base_prop"
}
]
}
@ -109,7 +109,7 @@
"errors": [
{
"code": "REQUIRED_FIELD_MISSING",
"path": "/a"
"path": "a"
}
]
}
@ -126,7 +126,7 @@
"errors": [
{
"code": "REQUIRED_FIELD_MISSING",
"path": "/b"
"path": "b"
}
]
}
@ -196,7 +196,7 @@
"errors": [
{
"code": "DEPENDENCY_FAILED",
"path": "/base_dep"
"path": "base_dep"
}
]
}
@ -214,7 +214,7 @@
"errors": [
{
"code": "DEPENDENCY_FAILED",
"path": "/child_dep"
"path": "child_dep"
}
]
}

View File

@ -972,7 +972,12 @@
"LEFT JOIN agreego.\"user\" t2 ON t2.id = t1.id",
"LEFT JOIN agreego.\"organization\" t3 ON t3.id = t1.id",
"LEFT JOIN agreego.\"entity\" t4 ON t4.id = t1.id",
"WHERE \"first_name\" = 'LookupFirst' AND \"last_name\" = 'LookupLast' AND \"date_of_birth\" = '1990-01-01T00:00:00Z' AND \"pronouns\" = 'they/them'"
"WHERE (",
" \"first_name\" = 'LookupFirst'",
" AND \"last_name\" = 'LookupLast'",
" AND \"date_of_birth\" = '1990-01-01T00:00:00Z'",
" AND \"pronouns\" = 'they/them'",
")"
],
[
"UPDATE agreego.\"person\"",
@ -1039,6 +1044,177 @@
]
}
},
{
"description": "Update existing person with id (lookup)",
"action": "merge",
"data": {
"id": "33333333-3333-3333-3333-333333333333",
"type": "person",
"first_name": "LookupFirst",
"last_name": "LookupLast",
"date_of_birth": "1990-01-01T00:00:00Z",
"pronouns": "they/them",
"contact_id": "abc-contact"
},
"mocks": [
{
"id": "22222222-2222-2222-2222-222222222222",
"type": "person",
"first_name": "LookupFirst",
"last_name": "LookupLast",
"date_of_birth": "1990-01-01T00:00:00Z",
"pronouns": "they/them",
"contact_id": "old-contact"
}
],
"schema_id": "person",
"expect": {
"success": true,
"sql": [
[
"SELECT to_jsonb(t1.*) || to_jsonb(t2.*) || to_jsonb(t3.*) || to_jsonb(t4.*)",
"FROM agreego.\"person\" t1",
"LEFT JOIN agreego.\"user\" t2 ON t2.id = t1.id",
"LEFT JOIN agreego.\"organization\" t3 ON t3.id = t1.id",
"LEFT JOIN agreego.\"entity\" t4 ON t4.id = t1.id",
"WHERE",
" t1.id = '33333333-3333-3333-3333-333333333333'",
" OR (",
" \"first_name\" = 'LookupFirst'",
" AND \"last_name\" = 'LookupLast'",
" AND \"date_of_birth\" = '1990-01-01T00:00:00Z'",
" AND \"pronouns\" = 'they/them'",
" )"
],
[
"UPDATE agreego.\"person\"",
"SET",
" \"contact_id\" = 'abc-contact'",
"WHERE",
" id = '22222222-2222-2222-2222-222222222222'"
],
[
"UPDATE agreego.\"entity\"",
"SET",
" \"modified_at\" = '2026-03-10T00:00:00Z',",
" \"modified_by\" = '00000000-0000-0000-0000-000000000000'",
"WHERE",
" id = '22222222-2222-2222-2222-222222222222'"
],
[
"INSERT INTO agreego.change (",
" \"old\",",
" \"new\",",
" entity_id,",
" id,",
" kind,",
" modified_at,",
" modified_by",
")",
"VALUES (",
" '{",
" \"contact_id\":\"old-contact\"",
" }',",
" '{",
" \"contact_id\":\"abc-contact\",",
" \"type\":\"person\"",
" }',",
" '22222222-2222-2222-2222-222222222222',",
" '{{uuid}}',",
" 'update',",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000'",
")"
],
[
"SELECT pg_notify('entity', '{",
" \"complete\":{",
" \"contact_id\":\"abc-contact\",",
" \"date_of_birth\":\"1990-01-01T00:00:00Z\",",
" \"first_name\":\"LookupFirst\",",
" \"id\":\"22222222-2222-2222-2222-222222222222\",",
" \"last_name\":\"LookupLast\",",
" \"modified_at\":\"2026-03-10T00:00:00Z\",",
" \"modified_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"pronouns\":\"they/them\",",
" \"type\":\"person\"",
" },",
" \"new\":{",
" \"contact_id\":\"abc-contact\",",
" \"type\":\"person\"",
" },",
" \"old\":{",
" \"contact_id\":\"old-contact\"",
" },",
" \"replaces\":\"33333333-3333-3333-3333-333333333333\"",
" }')"
]
]
}
},
{
"description": "Replace existing person with id and no changes (lookup)",
"action": "merge",
"data": {
"id": "33333333-3333-3333-3333-333333333333",
"type": "person",
"first_name": "LookupFirst",
"last_name": "LookupLast",
"date_of_birth": "1990-01-01T00:00:00Z",
"pronouns": "they/them"
},
"mocks": [
{
"id": "22222222-2222-2222-2222-222222222222",
"type": "person",
"first_name": "LookupFirst",
"last_name": "LookupLast",
"date_of_birth": "1990-01-01T00:00:00Z",
"pronouns": "they/them",
"contact_id": "old-contact"
}
],
"schema_id": "person",
"expect": {
"success": true,
"sql": [
[
"SELECT to_jsonb(t1.*) || to_jsonb(t2.*) || to_jsonb(t3.*) || to_jsonb(t4.*)",
"FROM agreego.\"person\" t1",
"LEFT JOIN agreego.\"user\" t2 ON t2.id = t1.id",
"LEFT JOIN agreego.\"organization\" t3 ON t3.id = t1.id",
"LEFT JOIN agreego.\"entity\" t4 ON t4.id = t1.id",
"WHERE",
" t1.id = '33333333-3333-3333-3333-333333333333'",
" OR (",
" \"first_name\" = 'LookupFirst'",
" AND \"last_name\" = 'LookupLast'",
" AND \"date_of_birth\" = '1990-01-01T00:00:00Z'",
" AND \"pronouns\" = 'they/them'",
" )"
],
[
"SELECT pg_notify('entity', '{",
" \"complete\":{",
" \"contact_id\":\"old-contact\",",
" \"date_of_birth\":\"1990-01-01T00:00:00Z\",",
" \"first_name\":\"LookupFirst\",",
" \"id\":\"22222222-2222-2222-2222-222222222222\",",
" \"last_name\":\"LookupLast\",",
" \"modified_at\":\"2026-03-10T00:00:00Z\",",
" \"modified_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"pronouns\":\"they/them\",",
" \"type\":\"person\"",
" },",
" \"new\":{",
" \"type\":\"person\"",
" },",
" \"replaces\":\"33333333-3333-3333-3333-333333333333\"",
" }')"
]
]
}
},
{
"description": "Update existing person with id (no lookup)",
"action": "merge",
@ -1484,7 +1660,7 @@
"SELECT to_jsonb(t1.*) || to_jsonb(t2.*)",
"FROM agreego.\"order\" t1",
"LEFT JOIN agreego.\"entity\" t2 ON t2.id = t1.id",
"WHERE t1.id = 'abc'"
"WHERE t1.id = 'abc' OR (\"id\" = 'abc')"
],
[
"INSERT INTO agreego.\"entity\" (",
@ -2401,6 +2577,215 @@
]
]
}
},
{
"description": "Anchor order and insert new line (no line id)",
"action": "merge",
"data": {
"id": "abc",
"type": "order",
"lines": [
{
"type": "order_line",
"product": "Widget",
"price": 99.0
}
]
},
"schema_id": "order",
"expect": {
"success": true,
"sql": [
[
"INSERT INTO agreego.\"entity\" (",
" \"created_at\",",
" \"created_by\",",
" \"id\",",
" \"modified_at\",",
" \"modified_by\",",
" \"type\"",
")",
"VALUES (",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000',",
" '{{uuid:line_id}}',",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000',",
" 'order_line'",
")"
],
[
"INSERT INTO agreego.\"order_line\" (",
" \"id\",",
" \"order_id\",",
" \"price\",",
" \"product\",",
" \"type\"",
")",
"VALUES (",
" '{{uuid:line_id}}',",
" 'abc',",
" 99,",
" 'Widget',",
" 'order_line'",
")"
],
[
"INSERT INTO agreego.change (",
" \"old\",",
" \"new\",",
" entity_id,",
" id,",
" kind,",
" modified_at,",
" modified_by",
")",
"VALUES (",
" NULL,",
" '{",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" }',",
" '{{uuid:line_id}}',",
" '{{uuid}}',",
" 'create',",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000'",
")"
],
[
"SELECT pg_notify('entity', '{",
" \"complete\":{",
" \"created_at\":\"{{timestamp}}\",",
" \"created_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"id\":\"{{uuid:line_id}}\",",
" \"modified_at\":\"{{timestamp}}\",",
" \"modified_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" },",
" \"new\":{",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" }",
" }')"
]
]
}
},
{
"description": "Anchor order and insert new line (with line id)",
"action": "merge",
"data": {
"id": "abc",
"type": "order",
"lines": [
{
"id": "11111111-2222-3333-4444-555555555555",
"type": "order_line",
"product": "Widget",
"price": 99.0
}
]
},
"schema_id": "order",
"expect": {
"success": true,
"sql": [
[
"SELECT to_jsonb(t1.*) || to_jsonb(t2.*)",
"FROM agreego.\"order_line\" t1",
"LEFT JOIN agreego.\"entity\" t2 ON t2.id = t1.id",
"WHERE t1.id = '11111111-2222-3333-4444-555555555555'"
],
[
"INSERT INTO agreego.\"entity\" (",
" \"created_at\",",
" \"created_by\",",
" \"id\",",
" \"modified_at\",",
" \"modified_by\",",
" \"type\"",
")",
"VALUES (",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000',",
" '11111111-2222-3333-4444-555555555555',",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000',",
" 'order_line'",
")"
],
[
"INSERT INTO agreego.\"order_line\" (",
" \"id\",",
" \"order_id\",",
" \"price\",",
" \"product\",",
" \"type\"",
")",
"VALUES (",
" '11111111-2222-3333-4444-555555555555',",
" 'abc',",
" 99,",
" 'Widget',",
" 'order_line'",
")"
],
[
"INSERT INTO agreego.change (",
" \"old\",",
" \"new\",",
" entity_id,",
" id,",
" kind,",
" modified_at,",
" modified_by",
")",
"VALUES (",
" NULL,",
" '{",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" }',",
" '11111111-2222-3333-4444-555555555555',",
" '{{uuid}}',",
" 'create',",
" '{{timestamp}}',",
" '00000000-0000-0000-0000-000000000000'",
")"
],
[
"SELECT pg_notify('entity', '{",
" \"complete\":{",
" \"created_at\":\"{{timestamp}}\",",
" \"created_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"id\":\"11111111-2222-3333-4444-555555555555\",",
" \"modified_at\":\"{{timestamp}}\",",
" \"modified_by\":\"00000000-0000-0000-0000-000000000000\",",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" },",
" \"new\":{",
" \"order_id\":\"abc\",",
" \"price\":99.0,",
" \"product\":\"Widget\",",
" \"type\":\"order_line\"",
" }",
" }')"
]
]
}
}
]
}

214
fixtures/paths.json Normal file
View File

@ -0,0 +1,214 @@
[
{
"description": "Hybrid Array Pathing",
"database": {
"schemas": [
{
"$id": "hybrid_pathing",
"type": "object",
"properties": {
"primitives": {
"type": "array",
"items": {
"type": "string"
}
},
"ad_hoc_objects": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
}
},
"required": [
"name"
]
}
},
"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"
}
}
}
}
}
}
}
}
}
]
},
"tests": [
{
"description": "happy path passes structural validation",
"data": {
"primitives": [
"a",
"b"
],
"ad_hoc_objects": [
{
"name": "obj1"
}
],
"entities": [
{
"id": "entity-1",
"value": 15
}
],
"deep_entities": [
{
"id": "parent-1",
"nested": [
{
"id": "child-1",
"flag": true
}
]
}
]
},
"schema_id": "hybrid_pathing",
"action": "validate",
"expect": {
"success": true
}
},
{
"description": "primitive arrays use numeric indexing",
"data": {
"primitives": [
"a",
123
]
},
"schema_id": "hybrid_pathing",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "INVALID_TYPE",
"path": "primitives/1"
}
]
}
},
{
"description": "ad-hoc objects without ids use numeric indexing",
"data": {
"ad_hoc_objects": [
{
"name": "valid"
},
{
"age": 30
}
]
},
"schema_id": "hybrid_pathing",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "REQUIRED_FIELD_MISSING",
"path": "ad_hoc_objects/1/name"
}
]
}
},
{
"description": "arrays of objects with ids use topological uuid indexing",
"data": {
"entities": [
{
"id": "entity-alpha",
"value": 20
},
{
"id": "entity-beta",
"value": 5
}
]
},
"schema_id": "hybrid_pathing",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "MINIMUM_VIOLATED",
"path": "entities/entity-beta/value"
}
]
}
},
{
"description": "deeply nested entity arrays retain full topological paths",
"data": {
"deep_entities": [
{
"id": "parent-omega",
"nested": [
{
"id": "child-alpha",
"flag": true
},
{
"id": "child-beta",
"flag": "invalid-string"
}
]
}
]
},
"schema_id": "hybrid_pathing",
"action": "validate",
"expect": {
"success": false,
"errors": [
{
"code": "INVALID_TYPE",
"path": "deep_entities/parent-omega/nested/child-beta/flag"
}
]
}
}
]
}
]

View File

@ -20,6 +20,16 @@
"$family": "base.person"
}
]
},
{
"name": "get_orders",
"schemas": [
{
"$id": "get_orders.response",
"type": "array",
"items": { "$ref": "light.order" }
}
]
}
],
"enums": [],
@ -664,6 +674,15 @@
}
}
},
{
"$id": "light.order",
"$ref": "order",
"properties": {
"customer": {
"$ref": "base.person"
}
}
},
{
"$id": "full.order",
"$ref": "order",
@ -1003,6 +1022,7 @@
" JOIN agreego.entity entity_6 ON entity_6.id = relationship_5.id",
" WHERE",
" NOT entity_6.archived",
" AND relationship_5.target_type = 'address'",
" AND relationship_5.source_id = entity_3.id),",
" 'age', person_1.age,",
" 'archived', entity_3.archived,",
@ -1094,6 +1114,7 @@
" JOIN agreego.entity entity_20 ON entity_20.id = relationship_19.id",
" WHERE",
" NOT entity_20.archived",
" AND relationship_19.target_type = 'email_address'",
" AND relationship_19.source_id = entity_3.id),",
" 'first_name', person_1.first_name,",
" 'id', entity_3.id,",
@ -1127,6 +1148,7 @@
" JOIN agreego.entity entity_25 ON entity_25.id = relationship_24.id",
" WHERE",
" NOT entity_25.archived",
" AND relationship_24.target_type = 'phone_number'",
" AND relationship_24.source_id = entity_3.id),",
" 'type', entity_3.type",
")",
@ -1163,7 +1185,7 @@
"$eq": true,
"$ne": false
},
"contacts.#.is_primary": {
"contacts/is_primary": {
"$eq": true
},
"created_at": {
@ -1203,7 +1225,7 @@
"$eq": "%Doe%",
"$ne": "%Smith%"
},
"phone_numbers.#.target.number": {
"phone_numbers/target/number": {
"$eq": "555-1234"
}
},
@ -1240,6 +1262,7 @@
" JOIN agreego.entity entity_6 ON entity_6.id = relationship_5.id",
" WHERE",
" NOT entity_6.archived",
" AND relationship_5.target_type = 'address'",
" AND relationship_5.source_id = entity_3.id),",
" 'age', person_1.age,",
" 'archived', entity_3.archived,",
@ -1332,6 +1355,7 @@
" JOIN agreego.entity entity_20 ON entity_20.id = relationship_19.id",
" WHERE",
" NOT entity_20.archived",
" AND relationship_19.target_type = 'email_address'",
" AND relationship_19.source_id = entity_3.id),",
" 'first_name', person_1.first_name,",
" 'id', entity_3.id,",
@ -1366,6 +1390,7 @@
" JOIN agreego.entity entity_25 ON entity_25.id = relationship_24.id",
" WHERE",
" NOT entity_25.archived",
" AND relationship_24.target_type = 'phone_number'",
" AND relationship_24.source_id = entity_3.id),",
" 'type', entity_3.type",
")",
@ -1408,6 +1433,46 @@
]
}
},
{
"description": "Person ad-hoc email addresses select",
"action": "query",
"schema_id": "full.person/email_addresses",
"expect": {
"success": true,
"sql": [
[
"(SELECT jsonb_build_object(",
" 'archived', entity_3.archived,",
" 'created_at', entity_3.created_at,",
" 'id', entity_3.id,",
" 'is_primary', contact_1.is_primary,",
" 'name', entity_3.name,",
" 'target',",
" (SELECT jsonb_build_object(",
" 'address', email_address_4.address,",
" 'archived', entity_5.archived,",
" 'created_at', entity_5.created_at,",
" 'id', entity_5.id,",
" 'name', entity_5.name,",
" 'type', entity_5.type",
" )",
" FROM agreego.email_address email_address_4",
" JOIN agreego.entity entity_5 ON entity_5.id = email_address_4.id",
" WHERE",
" NOT entity_5.archived",
" AND relationship_2.target_id = entity_5.id),",
" 'type', entity_3.type",
")",
"FROM agreego.contact contact_1",
"JOIN agreego.relationship relationship_2 ON relationship_2.id = contact_1.id",
"JOIN agreego.entity entity_3 ON entity_3.id = relationship_2.id",
"WHERE",
" NOT entity_3.archived",
" AND relationship_2.target_type = 'email_address')"
]
]
}
},
{
"description": "Order select with customer and lines",
"action": "query",
@ -1523,6 +1588,47 @@
]
]
}
},
{
"description": "Root Array SQL evaluation for Order fetching Light Order",
"action": "query",
"schema_id": "get_orders.response",
"expect": {
"success": true,
"sql": [
[
"(SELECT COALESCE(jsonb_agg(jsonb_build_object(",
" 'archived', entity_2.archived,",
" 'created_at', entity_2.created_at,",
" 'customer',",
" (SELECT jsonb_build_object(",
" 'age', person_3.age,",
" 'archived', entity_5.archived,",
" 'created_at', entity_5.created_at,",
" 'first_name', person_3.first_name,",
" 'id', entity_5.id,",
" 'last_name', person_3.last_name,",
" 'name', entity_5.name,",
" 'type', entity_5.type",
" )",
" FROM agreego.person person_3",
" JOIN agreego.organization organization_4 ON organization_4.id = person_3.id",
" JOIN agreego.entity entity_5 ON entity_5.id = organization_4.id",
" WHERE",
" NOT entity_5.archived",
" AND order_1.customer_id = person_3.id),",
" 'customer_id', order_1.customer_id,",
" 'id', entity_2.id,",
" 'name', entity_2.name,",
" 'total', order_1.total,",
" 'type', entity_2.type",
")), '[]'::jsonb)",
"FROM agreego.order order_1",
"JOIN agreego.entity entity_2 ON entity_2.id = order_1.id",
"WHERE NOT entity_2.archived)"
]
]
}
}
]
}

View File

@ -677,7 +677,7 @@
"errors": [
{
"code": "TYPE_MISMATCH",
"path": "/type"
"path": "type"
}
]
}
@ -782,7 +782,7 @@
"errors": [
{
"code": "TYPE_MISMATCH",
"path": "/type"
"path": "type"
}
]
}

View File

@ -124,42 +124,23 @@ fn parse_and_match_mocks(sql: &str, mocks: &[Value]) -> Option<Vec<Value>> {
return None;
};
// 2. Extract WHERE conditions
let mut conditions = Vec::new();
// 2. Extract WHERE conditions string
let mut where_clause = String::new();
if let Some(where_idx) = sql_upper.find(" WHERE ") {
let mut where_end = sql_upper.find(" ORDER BY ").unwrap_or(sql.len());
let mut where_end = sql_upper.find(" ORDER BY ").unwrap_or(sql_upper.len());
if let Some(limit_idx) = sql_upper.find(" LIMIT ") {
if limit_idx < where_end {
where_end = limit_idx;
}
}
let where_clause = &sql[where_idx + 7..where_end];
let and_regex = Regex::new(r"(?i)\s+AND\s+").ok()?;
let parts = and_regex.split(where_clause);
for part in parts {
if let Some(eq_idx) = part.find('=') {
let left = part[..eq_idx]
.trim()
.split('.')
.last()
.unwrap_or("")
.trim_matches('"');
let right = part[eq_idx + 1..].trim().trim_matches('\'');
conditions.push((left.to_string(), right.to_string()));
} else if part.to_uppercase().contains(" IS NULL") {
let left = part[..part.to_uppercase().find(" IS NULL").unwrap()]
.trim()
.split('.')
.last()
.unwrap_or("")
.replace('"', ""); // Remove quotes explicitly
conditions.push((left, "null".to_string()));
}
}
where_clause = sql[where_idx + 7..where_end].to_string();
}
// 3. Find matching mocks
let mut matches = Vec::new();
let or_regex = Regex::new(r"(?i)\s+OR\s+").ok()?;
let and_regex = Regex::new(r"(?i)\s+AND\s+").ok()?;
for mock in mocks {
if let Some(mock_obj) = mock.as_object() {
if let Some(t) = mock_obj.get("type") {
@ -168,25 +149,66 @@ fn parse_and_match_mocks(sql: &str, mocks: &[Value]) -> Option<Vec<Value>> {
}
}
let mut matches_all = true;
for (k, v) in &conditions {
let mock_val_str = match mock_obj.get(k) {
if where_clause.is_empty() {
matches.push(mock.clone());
continue;
}
let or_parts = or_regex.split(&where_clause);
let mut any_branch_matched = false;
for or_part in or_parts {
let branch_str = or_part.replace('(', "").replace(')', "");
let mut branch_matches = true;
for part in and_regex.split(&branch_str) {
if let Some(eq_idx) = part.find('=') {
let left = part[..eq_idx]
.trim()
.split('.')
.last()
.unwrap_or("")
.trim_matches('"');
let right = part[eq_idx + 1..].trim().trim_matches('\'');
let mock_val_str = match mock_obj.get(left) {
Some(Value::String(s)) => s.clone(),
Some(Value::Number(n)) => n.to_string(),
Some(Value::Bool(b)) => b.to_string(),
Some(Value::Null) => "null".to_string(),
_ => {
matches_all = false;
_ => "".to_string(),
};
if mock_val_str != right {
branch_matches = false;
break;
}
} else if part.to_uppercase().contains(" IS NULL") {
let left = part[..part.to_uppercase().find(" IS NULL").unwrap()]
.trim()
.split('.')
.last()
.unwrap_or("")
.trim_matches('"');
let mock_val_str = match mock_obj.get(left) {
Some(Value::Null) => "null".to_string(),
_ => "".to_string(),
};
if mock_val_str != *v {
matches_all = false;
if mock_val_str != "null" {
branch_matches = false;
break;
}
}
}
if branch_matches {
any_branch_matched = true;
break;
}
}
if matches_all {
if any_branch_matched {
matches.push(mock.clone());
}
}

View File

@ -9,6 +9,61 @@ impl SpiExecutor {
pub fn new() -> Self {
Self {}
}
fn transact<F, R>(&self, f: F) -> Result<R, String>
where
F: FnOnce() -> Result<R, String>,
{
unsafe {
let oldcontext = pgrx::pg_sys::CurrentMemoryContext;
let oldowner = pgrx::pg_sys::CurrentResourceOwner;
pgrx::pg_sys::BeginInternalSubTransaction(std::ptr::null());
pgrx::pg_sys::MemoryContextSwitchTo(oldcontext);
let runner = std::panic::AssertUnwindSafe(move || {
let res = f();
pgrx::pg_sys::ReleaseCurrentSubTransaction();
pgrx::pg_sys::MemoryContextSwitchTo(oldcontext);
pgrx::pg_sys::CurrentResourceOwner = oldowner;
res
});
pgrx::PgTryBuilder::new(runner)
.catch_rust_panic(|cause| {
pgrx::pg_sys::RollbackAndReleaseCurrentSubTransaction();
pgrx::pg_sys::MemoryContextSwitchTo(oldcontext);
pgrx::pg_sys::CurrentResourceOwner = oldowner;
// Rust panics are fatal bugs, not validation errors. Rethrow so they bubble up.
cause.rethrow()
})
.catch_others(|cause| {
pgrx::pg_sys::RollbackAndReleaseCurrentSubTransaction();
pgrx::pg_sys::MemoryContextSwitchTo(oldcontext);
pgrx::pg_sys::CurrentResourceOwner = oldowner;
let error_msg = match &cause {
pgrx::pg_sys::panic::CaughtError::PostgresError(e)
| pgrx::pg_sys::panic::CaughtError::ErrorReport(e) => {
let json_err = serde_json::json!({
"error": e.message(),
"code": format!("{:?}", e.sql_error_code()),
"detail": e.detail(),
"hint": e.hint()
});
json_err.to_string()
}
_ => format!("{:?}", cause),
};
pgrx::warning!("JSPG Caught Native Postgres Error: {}", error_msg);
Err(error_msg)
})
.execute()
}
}
}
impl DatabaseExecutor for SpiExecutor {
@ -24,7 +79,7 @@ impl DatabaseExecutor for SpiExecutor {
}
}
pgrx::PgTryBuilder::new(|| {
self.transact(|| {
Spi::connect(|client| {
pgrx::notice!("JSPG_SQL: {}", sql);
match client.select(sql, Some(args_with_oid.len() as i64), &args_with_oid) {
@ -41,11 +96,6 @@ impl DatabaseExecutor for SpiExecutor {
}
})
})
.catch_others(|cause| {
pgrx::warning!("JSPG Caught Native Postgres Error: {:?}", cause);
Err(format!("{:?}", cause))
})
.execute()
}
fn execute(&self, sql: &str, args: Option<&[Value]>) -> Result<(), String> {
@ -60,7 +110,7 @@ impl DatabaseExecutor for SpiExecutor {
}
}
pgrx::PgTryBuilder::new(|| {
self.transact(|| {
Spi::connect_mut(|client| {
pgrx::notice!("JSPG_SQL: {}", sql);
match client.update(sql, Some(args_with_oid.len() as i64), &args_with_oid) {
@ -69,14 +119,10 @@ impl DatabaseExecutor for SpiExecutor {
}
})
})
.catch_others(|cause| {
pgrx::warning!("JSPG Caught Native Postgres Error: {:?}", cause);
Err(format!("{:?}", cause))
})
.execute()
}
fn auth_user_id(&self) -> Result<String, String> {
self.transact(|| {
Spi::connect(|client| {
let mut tup_table = client
.select(
@ -93,9 +139,11 @@ impl DatabaseExecutor for SpiExecutor {
user_id.ok_or("Missing user_id".to_string())
})
})
}
fn timestamp(&self) -> Result<String, String> {
self.transact(|| {
Spi::connect(|client| {
let mut tup_table = client
.select("SELECT clock_timestamp()::text", None, &[])
@ -108,5 +156,6 @@ impl DatabaseExecutor for SpiExecutor {
timestamp.ok_or("Missing timestamp".to_string())
})
})
}
}

View File

@ -79,7 +79,18 @@ impl Database {
db.relations.insert(def.constraint.clone(), def);
}
}
Err(e) => println!("DATABASE RELATION PARSE FAILED: {:?}", e),
Err(e) => {
return Err(crate::drop::Drop::with_errors(vec![crate::drop::Error {
code: "DATABASE_RELATION_PARSE_FAILED".to_string(),
message: format!("Failed to parse database relation: {}", e),
details: crate::drop::ErrorDetails {
path: "".to_string(),
cause: None,
context: None,
schema: None,
},
}]));
}
}
}
}
@ -137,7 +148,30 @@ impl Database {
}
pub fn compile(&mut self) -> Result<(), crate::drop::Drop> {
self.collect_schemas();
let mut harvested = Vec::new();
for schema in self.schemas.values_mut() {
if let Err(msg) = schema.collect_schemas(None, &mut harvested) {
return Err(crate::drop::Drop::with_errors(vec![crate::drop::Error {
code: "SCHEMA_VALIDATION_FAILED".to_string(),
message: msg,
details: crate::drop::ErrorDetails { path: "".to_string(), cause: None, context: None, schema: None },
}]));
}
}
self.schemas.extend(harvested);
if let Err(msg) = self.collect_schemas() {
return Err(crate::drop::Drop::with_errors(vec![crate::drop::Error {
code: "SCHEMA_VALIDATION_FAILED".to_string(),
message: msg,
details: crate::drop::ErrorDetails {
path: "".to_string(),
cause: None,
context: None,
schema: None,
},
}]));
}
self.collect_depths();
self.collect_descendants();
@ -150,29 +184,31 @@ impl Database {
Ok(())
}
fn collect_schemas(&mut self) {
fn collect_schemas(&mut self) -> Result<(), String> {
let mut to_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 mut schema in type_def.schemas.clone() {
schema.harvest(&mut to_insert);
schema.collect_schemas(None, &mut to_insert)?;
}
}
for punc_def in self.puncs.values() {
for mut schema in punc_def.schemas.clone() {
schema.harvest(&mut to_insert);
schema.collect_schemas(None, &mut to_insert)?;
}
}
for enum_def in self.enums.values() {
for mut schema in enum_def.schemas.clone() {
schema.harvest(&mut to_insert);
schema.collect_schemas(None, &mut to_insert)?;
}
}
for (id, schema) in to_insert {
self.schemas.insert(id, schema);
}
Ok(())
}
fn collect_depths(&mut self) {
@ -228,82 +264,6 @@ impl Database {
self.descendants = descendants;
}
fn resolve_relation(
&self,
parent_type: &str,
child_type: &str,
prop_name: &str,
relative_keys: Option<&Vec<String>>,
) -> Option<(&Relation, bool)> {
if parent_type == "entity" && child_type == "entity" {
return None; // Ignore entity <-> entity generic fallbacks, they aren't useful edges
}
let p_def = self.types.get(parent_type)?;
let c_def = self.types.get(child_type)?;
let mut matching_rels = Vec::new();
let mut directions = Vec::new();
for rel in self.relations.values() {
let 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);
if is_forward {
matching_rels.push(rel);
directions.push(true);
} else if is_reverse {
matching_rels.push(rel);
directions.push(false);
}
}
if matching_rels.is_empty() {
return None;
}
if matching_rels.len() == 1 {
return Some((matching_rels[0], directions[0]));
}
let mut chosen_idx = 0;
let mut resolved = false;
// Reduce ambiguity with prefix
for (i, rel) in matching_rels.iter().enumerate() {
if let Some(prefix) = &rel.prefix {
if prop_name.starts_with(prefix)
|| prefix.starts_with(prop_name)
|| prefix.replace("_", "") == prop_name.replace("_", "")
{
chosen_idx = i;
resolved = true;
break;
}
}
}
// Reduce ambiguity by checking if relative payload OMITS the prefix (M:M heuristic)
if !resolved && relative_keys.is_some() {
let keys = relative_keys.unwrap();
let mut missing_prefix_ids = Vec::new();
for (i, rel) in matching_rels.iter().enumerate() {
if let Some(prefix) = &rel.prefix {
if !keys.contains(prefix) {
missing_prefix_ids.push(i);
}
}
}
if missing_prefix_ids.len() == 1 {
chosen_idx = missing_prefix_ids[0];
}
}
Some((matching_rels[chosen_idx], directions[chosen_idx]))
}
fn collect_descendants_recursively(
target: &str,
direct_refs: &std::collections::HashMap<String, Vec<String>>,

View File

@ -393,67 +393,108 @@ impl Schema {
}
}
pub fn harvest(&mut self, to_insert: &mut Vec<(String, Schema)>) {
if let Some(id) = &self.obj.id {
to_insert.push((id.clone(), self.clone()));
#[allow(unused_variables)]
fn validate_identifier(id: &str, field_name: &str) -> Result<(), String> {
#[cfg(not(test))]
for c in id.chars() {
if !c.is_ascii_lowercase() && !c.is_ascii_digit() && c != '_' && c != '.' {
return Err(format!("Invalid character '{}' in JSON Schema '{}' property: '{}'. Identifiers must exclusively contain [a-z0-9_.]", c, field_name, id));
}
self.harvest_children(|child| child.harvest(to_insert));
}
Ok(())
}
pub fn harvest_children<F>(&mut self, mut f: F)
where
F: FnMut(&mut Schema),
{
pub fn collect_schemas(
&mut self,
tracking_path: Option<String>,
to_insert: &mut Vec<(String, Schema)>,
) -> Result<(), String> {
if let Some(id) = &self.obj.id {
Self::validate_identifier(id, "$id")?;
to_insert.push((id.clone(), self.clone()));
}
if let Some(r#ref) = &self.obj.r#ref {
Self::validate_identifier(r#ref, "$ref")?;
}
if let Some(family) = &self.obj.family {
Self::validate_identifier(family, "$family")?;
}
// Is this schema an inline ad-hoc composition?
// Meaning it has a tracking context, lacks an explicit $id, but extends an Entity ref with explicit properties!
if self.obj.id.is_none() && self.obj.r#ref.is_some() && self.obj.properties.is_some() {
if let Some(ref path) = tracking_path {
to_insert.push((path.clone(), self.clone()));
}
}
// Provide the path origin to children natively, prioritizing the explicit `$id` boundary if one exists
let origin_path = self.obj.id.clone().or(tracking_path);
self.collect_child_schemas(origin_path, to_insert)?;
Ok(())
}
pub fn collect_child_schemas(
&mut self,
origin_path: Option<String>,
to_insert: &mut Vec<(String, Schema)>,
) -> Result<(), String> {
if let Some(props) = &mut self.obj.properties {
for v in props.values_mut() {
for (k, v) in props.iter_mut() {
let mut inner = (**v).clone();
f(&mut inner);
let next_path = origin_path.as_ref().map(|o| format!("{}/{}", o, k));
inner.collect_schemas(next_path, to_insert)?;
*v = Arc::new(inner);
}
}
if let Some(pattern_props) = &mut self.obj.pattern_properties {
for v in pattern_props.values_mut() {
for (k, v) in pattern_props.iter_mut() {
let mut inner = (**v).clone();
f(&mut inner);
let next_path = origin_path.as_ref().map(|o| format!("{}/{}", o, k));
inner.collect_schemas(next_path, to_insert)?;
*v = Arc::new(inner);
}
}
let mut map_arr = |arr: &mut Vec<Arc<Schema>>| {
let mut map_arr = |arr: &mut Vec<Arc<Schema>>| -> Result<(), String> {
for v in arr.iter_mut() {
let mut inner = (**v).clone();
f(&mut inner);
inner.collect_schemas(origin_path.clone(), to_insert)?;
*v = Arc::new(inner);
}
Ok(())
};
if let Some(arr) = &mut self.obj.prefix_items {
map_arr(arr);
}
if let Some(arr) = &mut self.obj.all_of {
map_arr(arr);
}
if let Some(arr) = &mut self.obj.one_of {
map_arr(arr);
}
if let Some(arr) = &mut self.obj.prefix_items { map_arr(arr)?; }
if let Some(arr) = &mut self.obj.all_of { map_arr(arr)?; }
if let Some(arr) = &mut self.obj.one_of { map_arr(arr)?; }
let mut map_opt = |opt: &mut Option<Arc<Schema>>| {
let mut map_opt = |opt: &mut Option<Arc<Schema>>, pass_path: bool| -> Result<(), String> {
if let Some(v) = opt {
let mut inner = (**v).clone();
f(&mut inner);
let next = if pass_path { origin_path.clone() } else { None };
inner.collect_schemas(next, to_insert)?;
*v = Arc::new(inner);
}
Ok(())
};
map_opt(&mut self.obj.additional_properties);
map_opt(&mut self.obj.items);
map_opt(&mut self.obj.contains);
map_opt(&mut self.obj.property_names);
map_opt(&mut self.obj.not);
map_opt(&mut self.obj.if_);
map_opt(&mut self.obj.then_);
map_opt(&mut self.obj.else_);
map_opt(&mut self.obj.additional_properties, false)?;
// `items` absolutely must inherit the EXACT property path assigned to the Array wrapper!
// This allows nested Arrays enclosing bare Entity structs to correctly register as the boundary mapping.
map_opt(&mut self.obj.items, true)?;
map_opt(&mut self.obj.not, false)?;
map_opt(&mut self.obj.contains, false)?;
map_opt(&mut self.obj.property_names, false)?;
map_opt(&mut self.obj.if_, false)?;
map_opt(&mut self.obj.then_, false)?;
map_opt(&mut self.obj.else_, false)?;
Ok(())
}
pub fn compile_edges(
@ -466,10 +507,8 @@ impl Schema {
let mut parent_type_name = None;
if let Some(family) = &self.obj.family {
parent_type_name = Some(family.split('.').next_back().unwrap_or(family).to_string());
} else if let Some(id) = &self.obj.id {
parent_type_name = Some(id.split('.').next_back().unwrap_or("").to_string());
} else if let Some(ref_id) = &self.obj.r#ref {
parent_type_name = Some(ref_id.split('.').next_back().unwrap_or("").to_string());
} else if let Some(identifier) = self.obj.identifier() {
parent_type_name = Some(identifier);
}
if let Some(p_type) = parent_type_name {
@ -490,12 +529,12 @@ impl Schema {
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(ref_id) = target_schema.obj.r#ref.as_ref() {
child_type_name = Some(ref_id.split('.').next_back().unwrap_or("").to_string());
} else if let Some(ref_id) = target_schema.obj.identifier() {
child_type_name = Some(ref_id);
} else if let Some(arr) = &target_schema.obj.one_of {
if let Some(first) = arr.first() {
if let Some(ref_id) = first.obj.id.as_ref().or(first.obj.r#ref.as_ref()) {
child_type_name = Some(ref_id.split('.').next_back().unwrap_or("").to_string());
if let Some(ref_id) = first.obj.identifier() {
child_type_name = Some(ref_id);
}
}
}
@ -507,7 +546,7 @@ impl Schema {
let keys_for_ambiguity: Vec<String> =
compiled_target_props.keys().cloned().collect();
if let Some((relation, is_forward)) =
db.resolve_relation(&p_type, &c_type, prop_name, Some(&keys_for_ambiguity))
resolve_relation(db, &p_type, &c_type, prop_name, Some(&keys_for_ambiguity))
{
schema_edges.insert(
prop_name.clone(),
@ -527,6 +566,80 @@ impl Schema {
}
}
pub(crate) fn resolve_relation<'a>(
db: &'a crate::database::Database,
parent_type: &str,
child_type: &str,
prop_name: &str,
relative_keys: Option<&Vec<String>>,
) -> Option<(&'a crate::database::relation::Relation, bool)> {
if parent_type == "entity" && child_type == "entity" {
return None;
}
let p_def = db.types.get(parent_type)?;
let c_def = db.types.get(child_type)?;
let mut matching_rels = Vec::new();
let mut directions = Vec::new();
for rel in db.relations.values() {
let 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);
if is_forward {
matching_rels.push(rel);
directions.push(true);
} else if is_reverse {
matching_rels.push(rel);
directions.push(false);
}
}
if matching_rels.is_empty() {
return None;
}
if matching_rels.len() == 1 {
return Some((matching_rels[0], directions[0]));
}
let mut chosen_idx = 0;
let mut resolved = false;
for (i, rel) in matching_rels.iter().enumerate() {
if let Some(prefix) = &rel.prefix {
if prop_name.starts_with(prefix)
|| prefix.starts_with(prop_name)
|| prefix.replace("_", "") == prop_name.replace("_", "")
{
chosen_idx = i;
resolved = true;
break;
}
}
}
if !resolved && relative_keys.is_some() {
let keys = relative_keys.unwrap();
let mut missing_prefix_ids = Vec::new();
for (i, rel) in matching_rels.iter().enumerate() {
if let Some(prefix) = &rel.prefix {
if !keys.contains(prefix) {
missing_prefix_ids.push(i);
}
}
}
if missing_prefix_ids.len() == 1 {
chosen_idx = missing_prefix_ids[0];
}
}
Some((matching_rels[chosen_idx], directions[chosen_idx]))
}
impl<'de> Deserialize<'de> for Schema {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where
@ -582,6 +695,16 @@ impl<'de> Deserialize<'de> for Schema {
}
}
impl SchemaObject {
pub fn identifier(&self) -> Option<String> {
if let Some(lookup_key) = self.id.as_ref().or(self.r#ref.as_ref()) {
Some(lookup_key.split('.').next_back().unwrap_or("").to_string())
} else {
None
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(untagged)]
pub enum SchemaTypeOrArray {

View File

@ -45,12 +45,33 @@ impl Merger {
let val_resolved = match result {
Ok(val) => val,
Err(msg) => {
let mut final_code = "MERGE_FAILED".to_string();
let mut final_message = msg.clone();
let mut final_cause = None;
if let Ok(Value::Object(map)) = serde_json::from_str::<Value>(&msg) {
if let (Some(Value::String(e_msg)), Some(Value::String(e_code))) = (map.get("error"), map.get("code")) {
final_message = e_msg.clone();
final_code = e_code.clone();
let mut cause_parts = Vec::new();
if let Some(Value::String(d)) = map.get("detail") {
if !d.is_empty() { cause_parts.push(d.clone()); }
}
if let Some(Value::String(h)) = map.get("hint") {
if !h.is_empty() { cause_parts.push(h.clone()); }
}
if !cause_parts.is_empty() {
final_cause = Some(cause_parts.join("\n"));
}
}
}
return crate::drop::Drop::with_errors(vec![crate::drop::Error {
code: "MERGE_FAILED".to_string(),
message: msg,
code: final_code,
message: final_message,
details: crate::drop::ErrorDetails {
path: "".to_string(),
cause: None,
cause: final_cause,
context: Some(data),
schema: None,
},
@ -207,13 +228,15 @@ impl Merger {
let mut entity_change_kind = None;
let mut entity_fetched = None;
let mut entity_replaces = None;
if !type_def.relationship {
let (fields, kind, fetched) =
let (fields, kind, fetched, replaces) =
self.stage_entity(entity_fields.clone(), type_def, &user_id, &timestamp)?;
entity_fields = fields;
entity_change_kind = kind;
entity_fetched = fetched;
entity_replaces = replaces;
}
let mut entity_response = serde_json::Map::new();
@ -287,11 +310,12 @@ impl Merger {
}
if type_def.relationship {
let (fields, kind, fetched) =
let (fields, kind, fetched, replaces) =
self.stage_entity(entity_fields.clone(), type_def, &user_id, &timestamp)?;
entity_fields = fields;
entity_change_kind = kind;
entity_fetched = fetched;
entity_replaces = replaces;
}
self.merge_entity_fields(
@ -367,6 +391,7 @@ impl Merger {
entity_change_kind.as_deref(),
&user_id,
&timestamp,
entity_replaces.as_deref(),
)?;
if let Some(sql) = notify_sql {
@ -398,13 +423,42 @@ impl Merger {
serde_json::Map<String, Value>,
Option<String>,
Option<serde_json::Map<String, Value>>,
Option<String>,
),
String,
> {
let type_name = type_def.name.as_str();
// 🚀 Anchor Short-Circuit Optimization
// An anchor is STRICTLY a struct containing merely an `id` and `type`.
// We aggressively bypass Database SPI `SELECT` fetches because there are no primitive
// mutations to apply to the row. PostgreSQL inherently protects relationships via Foreign Keys downstream.
let is_anchor = entity_fields.len() == 2
&& entity_fields.contains_key("id")
&& entity_fields.contains_key("type");
let has_valid_id = entity_fields
.get("id")
.and_then(|v| v.as_str())
.map_or(false, |s| !s.is_empty());
if is_anchor && has_valid_id {
return Ok((entity_fields, None, None, None));
}
let entity_fetched = self.fetch_entity(&entity_fields, type_def)?;
let mut replaces_id = None;
if let Some(ref fetched_row) = entity_fetched {
let provided_id = entity_fields.get("id").and_then(|v| v.as_str());
let fetched_id = fetched_row.get("id").and_then(|v| v.as_str());
if let (Some(pid), Some(fid)) = (provided_id, fetched_id) {
if !pid.is_empty() && pid != fid {
replaces_id = Some(pid.to_string());
}
}
}
let system_keys = vec![
"id".to_string(),
"type".to_string(),
@ -454,7 +508,7 @@ impl Merger {
);
entity_fields = new_fields;
} else if changes.is_empty() {
} else if changes.is_empty() && replaces_id.is_none() {
let mut new_fields = serde_json::Map::new();
new_fields.insert(
"id".to_string(),
@ -470,6 +524,8 @@ impl Merger {
.unwrap_or(false);
entity_change_kind = if is_archived {
Some("delete".to_string())
} else if changes.is_empty() && replaces_id.is_some() {
Some("replace".to_string())
} else {
Some("update".to_string())
};
@ -492,7 +548,7 @@ impl Merger {
entity_fields = new_fields;
}
Ok((entity_fields, entity_change_kind, entity_fetched))
Ok((entity_fields, entity_change_kind, entity_fetched, replaces_id))
}
fn fetch_entity(
@ -547,11 +603,14 @@ impl Merger {
template
};
let where_clause = if let Some(id) = id_val {
format!("WHERE t1.id = {}", Self::quote_literal(id))
} else if lookup_complete {
let mut lookup_predicates = Vec::new();
let mut where_parts = Vec::new();
if let Some(id) = id_val {
where_parts.push(format!("t1.id = {}", Self::quote_literal(id)));
}
if lookup_complete {
let mut lookup_predicates = Vec::new();
for column in &entity_type.lookup_fields {
let val = entity_fields.get(column).unwrap_or(&Value::Null);
if column == "type" {
@ -560,10 +619,14 @@ impl Merger {
lookup_predicates.push(format!("\"{}\" = {}", column, Self::quote_literal(val)));
}
}
format!("WHERE {}", lookup_predicates.join(" AND "))
} else {
where_parts.push(format!("({})", lookup_predicates.join(" AND ")));
}
if where_parts.is_empty() {
return Ok(None);
};
}
let where_clause = format!("WHERE {}", where_parts.join(" OR "));
let final_sql = format!("{} {}", fetch_sql_template, where_clause);
@ -674,8 +737,7 @@ impl Merger {
);
self
.db
.execute(&sql, None)
.map_err(|e| format!("SPI Error in INSERT: {:?}", e))?;
.execute(&sql, None)?;
} else if change_kind == "update" || change_kind == "delete" {
entity_pairs.remove("id");
entity_pairs.remove("type");
@ -709,8 +771,7 @@ impl Merger {
);
self
.db
.execute(&sql, None)
.map_err(|e| format!("SPI Error in UPDATE: {:?}", e))?;
.execute(&sql, None)?;
}
}
@ -725,6 +786,7 @@ impl Merger {
entity_change_kind: Option<&str>,
user_id: &str,
timestamp: &str,
replaces_id: Option<&str>,
) -> Result<Option<String>, String> {
let change_kind = match entity_change_kind {
Some(k) => k,
@ -736,9 +798,9 @@ impl Merger {
let mut old_vals = serde_json::Map::new();
let mut new_vals = serde_json::Map::new();
let is_update = change_kind == "update" || change_kind == "delete";
let exists = change_kind == "update" || change_kind == "delete" || change_kind == "replace";
if !is_update {
if !exists {
let system_keys = vec![
"id".to_string(),
"created_by".to_string(),
@ -775,7 +837,7 @@ impl Merger {
}
let mut complete = entity_fields.clone();
if is_update {
if exists {
if let Some(fetched) = entity_fetched {
let mut temp = fetched.clone();
for (k, v) in entity_fields {
@ -800,8 +862,12 @@ impl Merger {
notification.insert("old".to_string(), old_val_obj.clone());
}
if let Some(rep) = replaces_id {
notification.insert("replaces".to_string(), Value::String(rep.to_string()));
}
let mut notify_sql = None;
if type_obj.historical {
if type_obj.historical && change_kind != "replace" {
let change_sql = format!(
"INSERT INTO agreego.change (\"old\", \"new\", entity_id, id, kind, modified_at, modified_by) VALUES ({}, {}, {}, {}, {}, {}, {})",
Self::quote_literal(&old_val_obj),
@ -813,10 +879,7 @@ impl Merger {
Self::quote_literal(&Value::String(user_id.to_string()))
);
self
.db
.execute(&change_sql, None)
.map_err(|e| format!("Executor Error in change: {:?}", e))?;
self.db.execute(&change_sql, None)?;
}
if type_obj.notify {

View File

@ -63,37 +63,33 @@ impl<'a> Compiler<'a> {
}
fn compile_array(&mut self, node: Node<'a>) -> Result<(String, String), String> {
// 1. Array of DB Entities (`$ref` or `$family` pointing to a table limit)
if let Some(items) = &node.schema.obj.items {
let next_path = if node.ast_path.is_empty() {
String::from("#")
} else {
format!("{}.#", node.ast_path)
};
let mut resolved_type = None;
if let Some(family_target) = items.obj.family.as_ref() {
let base_type_name = family_target.split('.').next_back().unwrap_or(family_target);
resolved_type = self.db.types.get(base_type_name);
} else if let Some(base_type_name) = items.obj.identifier() {
resolved_type = self.db.types.get(&base_type_name);
}
if let Some(ref_id) = &items.obj.r#ref {
if let Some(type_def) = self.db.types.get(ref_id) {
if let Some(type_def) = resolved_type {
let mut entity_node = node.clone();
entity_node.ast_path = next_path;
entity_node.schema = std::sync::Arc::clone(items);
return self.compile_entity(type_def, entity_node, true);
}
}
let mut next_node = node.clone();
next_node.depth += 1;
next_node.ast_path = next_path;
next_node.schema = std::sync::Arc::clone(items);
let (item_sql, _) = self.compile_node(next_node)?;
// 2. Arrays of mapped Native Postgres Columns (e.g. `jsonb`, `text[]`)
if let Some(prop) = &node.property_name {
return Ok((
format!("(SELECT jsonb_agg({}) FROM TODO)", item_sql),
format!("{}.{}", node.parent_alias, prop),
"array".to_string(),
));
}
Ok((
"SELECT jsonb_agg(TODO) FROM TODO".to_string(),
"array".to_string(),
))
// 3. Fallback for root execution of standalone non-entity arrays
Err("Cannot compile a root array without a valid entity reference or table mapped via `items`.".to_string())
}
fn compile_reference(&mut self, node: Node<'a>) -> Result<(String, String), String> {
@ -102,14 +98,7 @@ impl<'a> Compiler<'a> {
if let Some(family_target) = node.schema.obj.family.as_ref() {
resolved_type = self.db.types.get(family_target);
} else if let Some(lookup_key) = node
.schema
.obj
.id
.as_ref()
.or(node.schema.obj.r#ref.as_ref())
{
let base_type_name = lookup_key.split('.').next_back().unwrap_or("").to_string();
} else if let Some(base_type_name) = node.schema.obj.identifier() {
resolved_type = self.db.types.get(&base_type_name);
}
@ -448,22 +437,21 @@ impl<'a> Compiler<'a> {
}
}
let mut child_node = node.clone();
child_node.parent_alias = owner_alias.clone();
let arc_aliases = std::sync::Arc::new(table_aliases.clone());
child_node.parent_type_aliases = Some(arc_aliases);
child_node.parent_type = Some(r#type);
child_node.parent_schema = Some(std::sync::Arc::clone(&node.schema));
child_node.property_name = Some(prop_key.clone());
child_node.depth += 1;
let next_path = if node.ast_path.is_empty() {
let child_node = Node {
schema: std::sync::Arc::clone(prop_schema),
parent_alias: owner_alias.clone(),
parent_type_aliases: Some(std::sync::Arc::new(table_aliases.clone())),
parent_type: Some(r#type),
parent_schema: Some(std::sync::Arc::clone(&node.schema)),
property_name: Some(prop_key.clone()),
depth: node.depth + 1,
ast_path: if node.ast_path.is_empty() {
prop_key.clone()
} else {
format!("{}.{}", node.ast_path, prop_key)
format!("{}/{}", node.ast_path, prop_key)
},
};
child_node.ast_path = next_path;
child_node.schema = std::sync::Arc::clone(prop_schema);
let (val_sql, val_type) = self.compile_node(child_node)?;
@ -491,9 +479,17 @@ impl<'a> Compiler<'a> {
.unwrap_or_else(|| base_alias.clone());
let mut where_clauses = Vec::new();
// Dynamically apply the 'active-only' default ONLY if the client
// didn't explicitly request to filter on 'archived' themselves!
let has_archived_override = self.filter_keys.iter().any(|k| k == "archived");
if !has_archived_override {
where_clauses.push(format!("NOT {}.archived", entity_alias));
}
self.compile_filter_conditions(r#type, type_aliases, &node, &base_alias, &mut where_clauses);
self.compile_polymorphic_bounds(r#type, type_aliases, &node, &mut where_clauses);
self.compile_relation_conditions(
r#type,
type_aliases,
@ -505,6 +501,54 @@ impl<'a> Compiler<'a> {
Ok(where_clauses)
}
fn compile_polymorphic_bounds(
&self,
_type: &crate::database::r#type::Type,
type_aliases: &std::collections::HashMap<String, String>,
node: &Node,
where_clauses: &mut Vec<String>,
) {
if let Some(edges) = node.schema.obj.compiled_edges.get() {
if let Some(props) = node.schema.obj.compiled_properties.get() {
for (prop_name, edge) in edges {
if let Some(prop_schema) = props.get(prop_name) {
// Determine if the property schema resolves to a physical Database Entity
let mut bound_type_name = None;
if let Some(family_target) = prop_schema.obj.family.as_ref() {
bound_type_name = Some(family_target.split('.').next_back().unwrap_or(family_target).to_string());
} else if let Some(lookup_key) = prop_schema.obj.identifier() {
bound_type_name = Some(lookup_key);
}
if let Some(type_name) = bound_type_name {
// Ensure this type actually exists
if self.db.types.contains_key(&type_name) {
if let Some(relation) = self.db.relations.get(&edge.constraint) {
let mut poly_col = None;
let mut table_to_alias = "";
if edge.forward && relation.source_columns.len() > 1 {
poly_col = Some(&relation.source_columns[1]); // e.g., target_type
table_to_alias = &relation.source_type; // e.g., relationship
} else if !edge.forward && relation.destination_columns.len() > 1 {
poly_col = Some(&relation.destination_columns[1]); // e.g., source_type
table_to_alias = &relation.destination_type; // e.g., relationship
}
if let Some(col) = poly_col {
if let Some(alias) = type_aliases.get(table_to_alias).or_else(|| type_aliases.get(&node.parent_alias)) {
where_clauses.push(format!("{}.{} = '{}'", alias, col, type_name));
}
}
}
}
}
}
}
}
}
}
fn resolve_filter_alias(
r#type: &crate::database::r#type::Type,
type_aliases: &std::collections::HashMap<String, String>,
@ -580,15 +624,15 @@ impl<'a> Compiler<'a> {
let op = parts.next().unwrap_or("$eq");
let field_name = if node.ast_path.is_empty() {
if full_field_path.contains('.') || full_field_path.contains('#') {
if full_field_path.contains('/') {
continue;
}
full_field_path
} else {
let prefix = format!("{}.", node.ast_path);
let prefix = format!("{}/", node.ast_path);
if full_field_path.starts_with(&prefix) {
let remainder = &full_field_path[prefix.len()..];
if remainder.contains('.') || remainder.contains('#') {
if remainder.contains('/') {
continue;
}
remainder

View File

@ -54,6 +54,45 @@ impl Queryer {
self.execute_sql(schema_id, &sql, &args)
}
fn extract_filters(
prefix: String,
val: &serde_json::Value,
entries: &mut Vec<(String, serde_json::Value)>,
) -> Result<(), String> {
if let Some(obj) = val.as_object() {
let mut is_op_obj = false;
if let Some(first_key) = obj.keys().next() {
if first_key.starts_with('$') {
is_op_obj = true;
}
}
if is_op_obj {
for (op, op_val) in obj {
if !op.starts_with('$') {
return Err(format!("Filter operator must start with '$', got: {}", op));
}
entries.push((format!("{}:{}", prefix, op), op_val.clone()));
}
} else {
for (k, v) in obj {
let next_prefix = if prefix.is_empty() {
k.clone()
} else {
format!("{}/{}", prefix, k)
};
Self::extract_filters(next_prefix, v, entries)?;
}
}
} else {
return Err(format!(
"Filter for path '{}' must be an operator object like {{$eq: ...}} or a nested map.",
prefix
));
}
Ok(())
}
fn parse_filter_entries(
&self,
filters_map: Option<&serde_json::Map<String, serde_json::Value>>,
@ -61,19 +100,7 @@ impl Queryer {
let mut filter_entries: Vec<(String, serde_json::Value)> = Vec::new();
if let Some(fm) = filters_map {
for (key, val) in fm {
if let Some(obj) = val.as_object() {
for (op, op_val) in obj {
if !op.starts_with('$') {
return Err(format!("Filter operator must start with '$', got: {}", op));
}
filter_entries.push((format!("{}:{}", key, op), op_val.clone()));
}
} else {
return Err(format!(
"Filter for field '{}' must be an object with operators like $eq, $in, etc.",
key
));
}
Self::extract_filters(key.clone(), val, &mut filter_entries)?;
}
}
filter_entries.sort_by(|a, b| a.0.cmp(&b.0));

View File

@ -1451,6 +1451,18 @@ fn test_queryer_0_6() {
crate::tests::runner::run_test_case(&path, 0, 6).unwrap();
}
#[test]
fn test_queryer_0_7() {
let path = format!("{}/fixtures/queryer.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 7).unwrap();
}
#[test]
fn test_queryer_0_8() {
let path = format!("{}/fixtures/queryer.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 8).unwrap();
}
#[test]
fn test_not_0_0() {
let path = format!("{}/fixtures/not.json", env!("CARGO_MANIFEST_DIR"));
@ -2915,6 +2927,36 @@ fn test_minimum_1_6() {
crate::tests::runner::run_test_case(&path, 1, 6).unwrap();
}
#[test]
fn test_paths_0_0() {
let path = format!("{}/fixtures/paths.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 0).unwrap();
}
#[test]
fn test_paths_0_1() {
let path = format!("{}/fixtures/paths.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 1).unwrap();
}
#[test]
fn test_paths_0_2() {
let path = format!("{}/fixtures/paths.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 2).unwrap();
}
#[test]
fn test_paths_0_3() {
let path = format!("{}/fixtures/paths.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 3).unwrap();
}
#[test]
fn test_paths_0_4() {
let path = format!("{}/fixtures/paths.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 4).unwrap();
}
#[test]
fn test_one_of_0_0() {
let path = format!("{}/fixtures/oneOf.json", env!("CARGO_MANIFEST_DIR"));
@ -8542,3 +8584,27 @@ fn test_merger_0_8() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 8).unwrap();
}
#[test]
fn test_merger_0_9() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 9).unwrap();
}
#[test]
fn test_merger_0_10() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 10).unwrap();
}
#[test]
fn test_merger_0_11() {
let path = format!("{}/fixtures/merger.json", env!("CARGO_MANIFEST_DIR"));
crate::tests::runner::run_test_case(&path, 0, 11).unwrap();
}
#[test]
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();
}

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@ -134,12 +134,12 @@ fn test_library_api() {
{
"code": "REQUIRED_FIELD_MISSING",
"message": "Missing name",
"details": { "path": "/name" }
"details": { "path": "name" }
},
{
"code": "STRICT_PROPERTY_VIOLATION",
"message": "Unexpected property 'wrong'",
"details": { "path": "/wrong" }
"details": { "path": "wrong" }
}
]
})

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@ -41,6 +41,14 @@ impl<'a> ValidationContext<'a> {
}
}
pub fn join_path(&self, key: &str) -> String {
if self.path.is_empty() {
key.to_string()
} else {
format!("{}/{}", self.path, key)
}
}
pub fn derive(
&self,
schema: &'a Schema,

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@ -91,12 +91,17 @@ impl<'a> ValidationContext<'a> {
if let Some(ref prefix) = self.schema.prefix_items {
for (i, sub_schema) in prefix.iter().enumerate() {
if i < len {
let path = format!("{}/{}", self.path, i);
if let Some(child_instance) = arr.get(i) {
let mut item_path = self.join_path(&i.to_string());
if let Some(obj) = child_instance.as_object() {
if let Some(id_str) = obj.get("id").and_then(|v| v.as_str()) {
item_path = self.join_path(id_str);
}
}
let derived = self.derive(
sub_schema,
child_instance,
&path,
&item_path,
HashSet::new(),
self.extensible,
false,
@ -112,12 +117,17 @@ impl<'a> ValidationContext<'a> {
if let Some(ref items_schema) = self.schema.items {
for i in validation_index..len {
let path = format!("{}/{}", self.path, i);
if let Some(child_instance) = arr.get(i) {
let mut item_path = self.join_path(&i.to_string());
if let Some(obj) = child_instance.as_object() {
if let Some(id_str) = obj.get("id").and_then(|v| v.as_str()) {
item_path = self.join_path(id_str);
}
}
let derived = self.derive(
items_schema,
child_instance,
&path,
&item_path,
HashSet::new(),
self.extensible,
false,

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@ -44,7 +44,7 @@ impl<'a> ValidationContext<'a> {
result.errors.push(ValidationError {
code: "STRICT_PROPERTY_VIOLATION".to_string(),
message: format!("Unexpected property '{}'", key),
path: format!("{}/{}", self.path, key),
path: self.join_path(key),
});
}
}
@ -53,10 +53,18 @@ impl<'a> ValidationContext<'a> {
if let Some(arr) = self.instance.as_array() {
for i in 0..arr.len() {
if !result.evaluated_indices.contains(&i) {
let mut item_path = self.join_path(&i.to_string());
if let Some(child_instance) = arr.get(i) {
if let Some(obj) = child_instance.as_object() {
if let Some(id_str) = obj.get("id").and_then(|v| v.as_str()) {
item_path = self.join_path(id_str);
}
}
}
result.errors.push(ValidationError {
code: "STRICT_ITEM_VIOLATION".to_string(),
message: format!("Unexpected item at index {}", i),
path: format!("{}/{}", self.path, i),
path: item_path,
});
}
}

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@ -14,16 +14,13 @@ impl<'a> ValidationContext<'a> {
let current = self.instance;
if let Some(obj) = current.as_object() {
// Entity implicit type validation
// Use the specific schema id or ref as a fallback
if let Some(identifier) = self.schema.id.as_ref().or(self.schema.r#ref.as_ref()) {
if let Some(schema_identifier) = self.schema.identifier() {
// Kick in if the data object has a type field
if let Some(type_val) = obj.get("type")
&& let Some(type_str) = type_val.as_str()
{
// Get the string or the final segment as the base
let base = identifier.split('.').next_back().unwrap_or("").to_string();
// Check if the base is a global type name
if let Some(type_def) = self.db.types.get(&base) {
// Check if the identifier is a global type name
if let Some(type_def) = self.db.types.get(&schema_identifier) {
// Ensure the instance type is a variation of the global type
if type_def.variations.contains(type_str) {
// Ensure it passes strict mode
@ -35,12 +32,12 @@ impl<'a> ValidationContext<'a> {
"Type '{}' is not a valid descendant for this entity bound schema",
type_str
),
path: format!("{}/type", self.path),
path: self.join_path("type"),
});
}
} else {
// Ad-Hoc schemas natively use strict schema discriminator strings instead of variation inheritance
if type_str == identifier {
if type_str == schema_identifier.as_str() {
result.evaluated_keys.insert("type".to_string());
}
}
@ -73,7 +70,7 @@ impl<'a> ValidationContext<'a> {
result.errors.push(ValidationError {
code: "REQUIRED_FIELD_MISSING".to_string(),
message: format!("Missing {}", field),
path: format!("{}/{}", self.path, field),
path: self.join_path(field),
});
}
}
@ -112,7 +109,7 @@ impl<'a> ValidationContext<'a> {
}
if let Some(child_instance) = obj.get(key) {
let new_path = format!("{}/{}", self.path, key);
let new_path = self.join_path(key);
let is_ref = sub_schema.r#ref.is_some();
let next_extensible = if is_ref { false } else { self.extensible };
@ -128,14 +125,9 @@ impl<'a> ValidationContext<'a> {
// Entity Bound Implicit Type Interception
if key == "type"
&& let Some(schema_bound) = sub_schema.id.as_ref().or(sub_schema.r#ref.as_ref())
&& let Some(schema_bound) = sub_schema.identifier()
{
let physical_type_name = schema_bound
.split('.')
.next_back()
.unwrap_or("")
.to_string();
if let Some(type_def) = self.db.types.get(&physical_type_name)
if let Some(type_def) = self.db.types.get(&schema_bound)
&& let Some(instance_type) = child_instance.as_str()
&& type_def.variations.contains(instance_type)
{
@ -155,7 +147,7 @@ impl<'a> ValidationContext<'a> {
for (compiled_re, sub_schema) in compiled_pp {
for (key, child_instance) in obj {
if compiled_re.0.is_match(key) {
let new_path = format!("{}/{}", self.path, key);
let new_path = self.join_path(key);
let is_ref = sub_schema.r#ref.is_some();
let next_extensible = if is_ref { false } else { self.extensible };
@ -194,7 +186,7 @@ impl<'a> ValidationContext<'a> {
}
if !locally_matched {
let new_path = format!("{}/{}", self.path, key);
let new_path = self.join_path(key);
let is_ref = additional_schema.r#ref.is_some();
let next_extensible = if is_ref { false } else { self.extensible };
@ -215,7 +207,7 @@ impl<'a> ValidationContext<'a> {
if let Some(ref property_names) = self.schema.property_names {
for key in obj.keys() {
let _new_path = format!("{}/propertyNames/{}", self.path, key);
let _new_path = self.join_path(&format!("propertyNames/{}", key));
let val_str = Value::String(key.to_string());
let ctx = ValidationContext::new(

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@ -1 +1 @@
1.0.83
1.0.96