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19 changes: 18 additions & 1 deletion build.sbt
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ addCommandAlias("check", "; scalafmtSbtCheck; scalafmtCheckAll")
addCommandAlias("mimaChecks", "all schemaJVM/mimaReportBinaryIssues")
addCommandAlias(
"testJVM",
"typeidJVM/test; chunkJVM/test; schemaJVM/test; streamsJVM/test; schema-toonJVM/test; schema-messagepackJVM/test; schema-avro/test; schema-thrift/test; schema-bson/test"
"typeidJVM/test; chunkJVM/test; schemaJVM/test; streamsJVM/test; schema-toonJVM/test; schema-messagepackJVM/test; schema-avro/test; schema-thrift/test; schema-bson/test; schema-iron/test"
)
addCommandAlias(
"testJS",
Expand Down Expand Up @@ -58,6 +58,7 @@ lazy val root = project
`schema-messagepack`.native,
`schema-thrift`,
`schema-bson`,
`schema-iron`,
`schema-toon`.jvm,
`schema-toon`.js,
`schema-toon`.native,
Expand Down Expand Up @@ -254,6 +255,22 @@ lazy val `schema-bson` = project
coverageMinimumBranchTotal := 58
)

lazy val `schema-iron` = project
.settings(stdSettings("zio-blocks-schema-iron"))
.dependsOn(schema.jvm % "compile->compile;test->test")
.settings(buildInfoSettings("zio.blocks.schema.iron"))
.enablePlugins(BuildInfoPlugin)
.settings(
libraryDependencies ++= Seq(
"io.github.iltotore" %% "iron" % "2.6.0",
"dev.zio" %% "zio-test" % "2.1.24" % Test,
"dev.zio" %% "zio-test-sbt" % "2.1.24" % Test
),
coverageMinimumStmtTotal := 75,
coverageMinimumBranchTotal := 60
)


lazy val `schema-messagepack` = crossProject(JSPlatform, JVMPlatform, NativePlatform)
.crossType(CrossType.Pure)
.settings(stdSettings("zio-blocks-schema-messagepack"))
Expand Down
39 changes: 39 additions & 0 deletions schema-iron/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
# ZIO Blocks Schema Iron

Integration between ZIO Blocks Schema and [Iron](https://github.com/Iltotore/iron) for type-safe refinement types.

## Installation

```scala
libraryDependencies += "dev.zio" %% "zio-blocks-schema-iron" % "0.0.1"
```

## Usage

```scala
import zio.blocks.schema.*
import zio.blocks.schema.iron.given
import io.github.iltotore.iron.*
import io.github.iltotore.iron.constraint.numeric.*

case class Person(name: String, age: Int :| Positive)

object Person:
given Schema[Person] = Schema.derived

// Now you can use Person with any format
val jsonCodec = Schema[Person].derive(JsonFormat)

// Decoding with validation
val validJson = """{"name":"Alice","age":25}"""
val invalidJson = """{"name":"Bob","age":-5}"""

jsonCodec.decode(validJson.getBytes) // Right(Person(Alice,25))
jsonCodec.decode(invalidJson.getBytes) // Left(SchemaError: Should be strictly positive at: .age)
```

The integration automatically derives `Schema[A :| C]` from `Schema[A]` with runtime validation using Iron's constraints.

## Known Limitations

Due to how ZIO Blocks handles opaque types in derived schemas, encoding refined types may not work correctly in all cases. Decoding and validation work as expected.
13 changes: 13 additions & 0 deletions schema-iron/src/main/scala/zio/blocks/schema/iron/package.scala
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
package zio.blocks.schema

import io.github.iltotore.iron.*

package object iron {

inline given ironSchema[A, C](using baseSchema: Schema[A], constraint: Constraint[A, C]): Schema[A :| C] =
baseSchema.transformOrFail(
a => a.refineEither[C].left.map(SchemaError.validationFailed),
refined => refined.asInstanceOf[A]
)
Comment on lines +7 to +11
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Copilot AI Feb 18, 2026

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This public API declaration is missing required Scaladoc documentation. According to project guidelines, all new public APIs must have comprehensive Scaladoc including:

  • A clear one-line summary explaining what this given instance does
  • @tparam tags for type parameters A and C explaining their purpose
  • A usage example demonstrating how to use this integration with Iron constraints
  • @return tag (if applicable for given instances)

The Scaladoc should explain that this automatically derives a Schema for Iron-refined types that validates the constraint during decoding and unwraps during encoding.

Example structure:

/** Automatically derives a Schema for Iron-refined types.
  *
  * This given instance enables automatic schema derivation for types refined with Iron constraints.
  * During decoding, the constraint is validated and failure results in a SchemaError. During
  * encoding, the refined value is unwrapped to its base type.
  *
  * @tparam A the base type being refined
  * @tparam C the Iron constraint being applied
  * @example
  * {{{
  * import io.github.iltotore.iron.*
  * import io.github.iltotore.iron.constraint.numeric.*
  * import zio.blocks.schema.*
  * import zio.blocks.schema.iron.given
  *
  * case class Person(age: Int :| Positive)
  * given Schema[Person] = Schema.derived
  * }}}
  */

Copilot generated this review using guidance from repository custom instructions.
}

Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
package zio.blocks.schema.iron

import zio.blocks.schema.*
import zio.test.*
import io.github.iltotore.iron.*
import io.github.iltotore.iron.constraint.numeric.*

class IronSchemaSpec extends SchemaBaseSpec {

case class Person(name: String, age: Int :| Positive)

object Person {
given Schema[Person] = Schema.derived
}

def spec = suite("IronSchemaSpec")(
test("derive schema for refined types") {
val schema = summon[Schema[Person]]
assertTrue(schema != null)
},

test("refined type schema has correct structure") {
val ageSchema = summon[Schema[Int :| Positive]]
assertTrue(ageSchema != null)
}
)
Comment on lines +16 to +26
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Copilot AI Feb 18, 2026

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These tests are inadequate and don't actually verify the core functionality of the Iron integration. The tests only check that schemas can be summoned (schema != null), but don't test:

  1. Validation on decode - The primary feature: that invalid values are rejected with appropriate error messages
  2. Valid values pass - That valid refined values decode successfully
  3. Round-trip behavior - That encoding and decoding work correctly
  4. Error messages - That validation failures produce clear, helpful error messages

The PR description claims "100% coverage" and states that "Decoding with validation works correctly", but these tests don't exercise any validation logic at all.

Recommended tests to add:

  • Test decoding valid refined values (e.g., positive integers) succeeds
  • Test decoding invalid values (e.g., negative integers for Positive constraint) fails with appropriate error
  • Test round-trip encoding/decoding of valid refined values
  • Test that error messages include the constraint violation details

You can use patterns from JsonTestUtils.roundTrip and JsonTestUtils.decodeError that are available via the test dependency on schema's test sources.

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I am testing a concept for now I agree test needs improvement

}
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