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How to use parseSchema method of io.kotest.assertions.json.schema.parse class

Best Kotest code snippet using io.kotest.assertions.json.schema.parse.parseSchema

parse.kt

Source:parse.kt

...40 * Parses a subset of JSON Schema into [JsonSchemaElement] which can be used to verify a json document with41 * [shouldMatchSchema]42 */43@ExperimentalKotest44fun parseSchema(jsonSchema: String): JsonSchema =45   JsonSchema(root = schemaJsonConfig.decodeFromString(SchemaDeserializer, jsonSchema))46@ExperimentalKotest47internal object SchemaDeserializer : JsonContentPolymorphicSerializer<JsonSchemaElement>(JsonSchemaElement::class) {48   override fun selectDeserializer(element: JsonElement): DeserializationStrategy<out JsonSchemaElement> {49      return when (val type = element.jsonObject.get("type")?.jsonPrimitive?.content) {50         "array" -> JsonSchema.JsonArray.serializer()51         "object" -> JsonSchema.JsonObject.serializer()52         "string" -> JsonSchemaStringSerializer53         "integer" -> JsonSchemaIntegerSerializer54         "number" -> JsonSchemaNumberSerializer55         "boolean" -> JsonSchema.JsonBoolean.serializer()56         "null" -> JsonSchema.Null.serializer()57         else -> error("Unknown type: $type")58      }...

ObjectSchemaTest.kt

Source:ObjectSchemaTest.kt

...12            withProperty("initials", required = false) { string() }13            withProperty("age", required = true) { number() }14         }15      }16      val personSchema = parseSchema(17         json(18            """19            {20              "type": "object",21              "properties": {22                "name": { "type": "string" },23                "initials": { "type": "string" },24                "age": { "type": "number" }25              },26             "requiredProperties": [ "name", "age" ],27             "additionalProperties": false28           }29         """30         )...

ParseSchemaTest.kt

Source:ParseSchemaTest.kt

...10import io.kotest.matchers.string.match11class ParseSchemaTest : FunSpec(12   {13      test("primitive schema parsing") {14         parseSchema("""{ "type": "string" }""") shouldBe jsonSchema {15            string()16         }17      }18      context("sample schema") {19         // Sample from https://json-schema.org/understanding-json-schema/about.html20         val schema = parseSchema(21            """{22              "type": "object",23              "properties": {24                "first_name": {25                   "type": "string",26                   "minLength": 3,27                   "maxLength": 10,28                   "pattern": "[A-Z][a-z]+"29                 },30                "last_name": { "type": "string" },31                "birthday": { "type": "string", "format": "date" },32                "address": {33                  "type": "object",34                  "properties": {...

JsonSchemaNumberTest.kt

Source:JsonSchemaNumberTest.kt

...4import io.kotest.matchers.shouldBe5class JsonSchemaNumberTest : FunSpec(6   {7      context("multipleOf") {8         val schema = parseSchema(9            """10               { "type": "number", "multipleOf": 10 }11            """.trimIndent()12         )13         test("a valid multiple passes") {14            "10" shouldMatchSchema schema15         }16         test("invalid multiple fails") {17            shouldFail {18               "11" shouldMatchSchema schema19            }20         }21      }22      context("minimums") {23         val schema = parseSchema(24            """25               { "type": "number", "minimum": 0}26            """.trimIndent()27         )28         test("more than minimum passes") {29            "1" shouldMatchSchema schema30         }31         test("exactly equal to minimum passes") {32            "0" shouldMatchSchema schema33         }34         test("less than minimum fails") {35            shouldFail {36               "-1" shouldMatchSchema schema37            }.message shouldBe "$ => -1.0 should be >= 0.0"38         }39      }40      context("exclusive min") {41         val schema = parseSchema(42            """43               { "type": "number", "exclusiveMinimum": 0}44            """.trimIndent()45         )46         test("more than minimum passes") {47            "0.1" shouldMatchSchema schema48         }49         test("exactly equal to minimum fails") {50            shouldFail { "0" shouldMatchSchema schema }51               .message shouldBe "$ => 0.0 should be > 0.0"52         }53         test("less than minimum fails") {54            shouldFail {55               "-1" shouldMatchSchema schema56            }.message shouldBe "$ => -1.0 should be > 0.0"57         }58      }59      context("max") {60         val schema = parseSchema(61            """62               { "type": "number", "maximum": 5}63            """.trimIndent()64         )65         test("less than max passes") {66            "1" shouldMatchSchema schema67         }68         test("exactly equal to maximum passes") {69            "5" shouldMatchSchema schema70         }71         test("more than max fails") {72            shouldFail {73               "5.1" shouldMatchSchema schema74            }.message shouldBe "$ => 5.1 should be <= 5.0"75         }76      }77      context("exclusive max") {78         val schema = parseSchema(79            """80               { "type": "number", "exclusiveMaximum": 5}81            """.trimIndent()82         )83         test("less than max passes") {84            "4.9" shouldMatchSchema schema85         }86         test("exactly equal to max fails") {87            shouldFail { "5" shouldMatchSchema schema }88               .message shouldBe "$ => 5.0 should be < 5.0"89         }90         test("more than max fails") {91            shouldFail {92               "5.1" shouldMatchSchema schema...

parseSchema

Using AI Code Generation

1val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type" : "integer" } } }"""2val json = """{ "name" : "John", "age" : 30 }"""3parseSchema(schema).validate(json)4val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type" : "integer" } } }"""5val json = """{ "name" : "John", "age" : 30 }"""6parseSchema(schema).validate(json)7val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type" : "integer" } } }"""8val json = """{ "name" : "John", "age" : 30 }"""9parseSchema(schema).validate(json)10val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type" : "integer" } } }"""11val json = """{ "name" : "John", "age" : 30 }"""12parseSchema(schema).validate(json)13val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type" : "integer" } } }"""14val json = """{ "name" : "John", "age" : 30 }"""15parseSchema(schema).validate(json)16val schema = """{ "type" : "object", "properties" : { "name" : { "type" : "string" }, "age" : { "type"

parseSchema

Using AI Code Generation

1parseSchema(schema).shouldMatchJson(json)2parseSchema(schema).shouldNotMatchJson(json)3parseSchema(schema).shouldMatchJson(json)4parseSchema(schema).shouldNotMatchJson(json)5parseSchema(schema).shouldMatchJson(json)6parseSchema(schema).shouldNotMatchJson(json)7parseSchema(schema).shouldMatchJson(json)8parseSchema(schema).shouldNotMatchJson(json)9parseSchema(schema).shouldMatchJson(json)10parseSchema(schema).shouldNotMatchJson(json)11parseSchema(schema).shouldMatchJson(json)12parseSchema(schema).shouldNotMatchJson(json)13parseSchema(schema).shouldMatchJson(json)14parseSchema(schema).shouldNotMatchJson(json)15parseSchema(schema).shouldMatchJson(json)16parseSchema(schema).shouldNotMatchJson(json)17parseSchema(schema).shouldMatchJson(json)18parseSchema(schema).shouldNotMatchJson(json)

parseSchema

Using AI Code Generation

1val schema = parse.parseSchema(schemaJson)2val result = schema.validate(json)3val schema = parse.parseJson(schemaJson)4val result = schema.validate(json)5val schema = parse.parseYaml(schemaJson)6val result = schema.validate(json)7Assertions are the most important part of this library. There are 3 types of assertions that can be used to validate the json schema. These are:8val result = assertions.validate(schemaJson, json)9val result = assertions.validateAll(schemaJson, json)10val result = assertions.validateAny(schemaJson, json)11Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

parseSchema

Using AI Code Generation

1val schema = parseSchema(“”” { “type”: “string” } “””)2val json = parse(“”” { “name”: “John” } “””)3json should match(schema)4json should matchJson(schema)5json should matchJsonIgnoringExtraKeys(schema)6json should matchJsonIgnoringExtraKeys(schema)7json should matchJsonIgnoringExtraKeys(schema)8json should matchJsonIgnoringExtraKeys(schema)9json should matchJsonIgnoringExtraKeys(schema)10json should matchJsonIgnoringExtraKeys(schema)11json should matchJsonIgnoringExtraKeys(schema)12json should matchJsonIgnoringExtraKeys(schema)13json should matchJsonIgnoringExtraKeys(schema)14json should matchJsonIgnoringExtraKeys(schema)

parseSchema

Using AI Code Generation

1parseSchema ( "schema.json" ) . shouldMatchJson ( """{"name":"John","age":30,"cars":null}""" )2parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( "schema.json" )3parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( """{"type":"object","properties":{"name":{"type":"string"},"age":{"type":"number"},"cars":{"type":"array"}}}""" )4parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( """{"type":"object","properties":{"name":{"type":"string"},"age":{"type":"number"},"cars":{"type":"array"}}}""" )5parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( "schema.json" )6parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( """{"type":"object","properties":{"name":{"type":"string"},"age":{"type":"number"},"cars":{"type":"array"}}}""" )7parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( """{"type":"object","properties":{"name":{"type":"string"},"age":{"type":"number"},"cars":{"type":"array"}}}""" )8parseSchema ( "schema.json" ) . shouldMatchJson ( """{"name":"John","age":30,"cars":null}""" )9parseJson ( """{"name":"John","age":30,"cars":null}""" ) . shouldMatchSchema ( "

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