[英]Validate Json schema with repeating json response in Python
当我尝试使用来自 Jsonschema.validate 的 Validate 使用我的 Json 响应来验证我的 Json 架构时,我没有得到任何结果,而它在Z5E056C500A1C4B6A7110//www50D88807BADE上显示匹配。
Json 架构
{
"KPI": [{
"KPIDefinition": {
"id": {
"type": "string"
},
"name": {
"type": "string"
},
"version": {
"type": "number"
},
"description": {
"type": "string"
},
"datatype": {
"type": "string"
},
"units": {
"type": "string"
}
},
"KPIGroups": [{
"id": {
"type": "number"
},
"name": {
"type": "string"
}
}]
}],
"response": [{
"Description": {
"type": "string"
}
}]
}
JSON 响应JSON 响应
{
"KPI": [
{
"KPIDefinition": {
"id": "2",
"name": "KPI 2",
"version": 1,
"description": "This is KPI 2",
"datatype": "1",
"units": "perHour"
},
"KPIGroups": [
{
"id": 7,
"name": "Group 7"
}
]
},
{
"KPIDefinition": {
"id": "3",
"name": "Parameter 3",
"version": 1,
"description": "This is KPI 3",
"datatype": "1",
"units": "per Hour"
},
"KPIGroups": [
{
"id": 7,
"name": "Group 7"
}
]
}
],
"response": [
{
"Description": "RECORD Found"
}
]
}
代码
json_schema2 = {"KPI":[{"KPIDefinition":{"id_new":{"type":"number"},"name":{"type":"string"},"version":{"type":"number"},"description":{"type":"string"},"datatype":{"type":"string"},"units":{"type":"string"}},"KPIGroups":[{"id":{"type":"number"},"name":{"type":"string"}}]}],"response":[{"Description":{"type":"string"}}]}
json_resp = {"KPI":[{"KPIDefinition":{"id":"2","name":"Parameter 2","version":1,"description":"This is parameter 2 definition version 1","datatype":"1","units":"kN"},"KPIGroups":[{"id":7,"name":"Group 7"}]},{"KPIDefinition":{"id":"3","name":"Parameter 3","version":1,"description":"This is parameter 3 definition version 1","datatype":"1","units":"kN"},"KPIGroups":[{"id":7,"name":"Group 7"}]}],"response":[{"Description":"RECORD FETCHED"}]}
print(jsonschema.validate(instance=json_resp, schema=json_schema2))
验证未正确完成,我在响应中更改了数据类型和键名,但仍然没有引发异常或错误。
jsonschema.validate(..)
不应该返回任何东西。
您的架构 object 和 JSON object 都可以,如果没有引发任何异常,验证已经通过 - 这似乎就是这种情况。
话虽如此,您应该将调用包装在 try-except 块中,以便能够捕获验证错误。
就像是:
try:
jsonschema.validate(...)
print("Validation passed!")
except ValidationError:
print("Validation failed")
# similarly catch SchemaError too if needed.
更新:您的架构无效。 就目前而言,它将验证几乎所有输入。 一个模式 JSON 应该是一个 object (dict),它应该有像“type”这样的字段,并且根据类型,它可能有其他必需的字段,比如“items”或“properties”。 请阅读如何编写 JSONSchema。
这是我为您的 JSON 编写的架构:
{
"type": "object",
"required": [
"KPI",
"response"
],
"properties": {
"KPI": {
"type": "array",
"items": {
"type": "object",
"required": ["KPIDefinition","KPIGroups"],
"properties": {
"KPIDefinition": {
"type": "object",
"required": ["id","name"],
"properties": {
"id": {"type": "string"},
"name": {"type": "string"},
"version": {"type": "integer"},
"description": {"type": "string"},
"datatype": {"type": "string"},
"units": {"type": "string"},
},
"KPIGroups": {
"type": "array",
"items": {
"type": "object",
"required": ["id", "name"],
"properties": {
"id": {"type": "integer"},
"name": {"type": "string"}
}
}
}
}
}
}
},
"response": {
"type": "array",
"items": {
"type": "object",
"required": ["Description"],
"properties": {
"Description": {"type": "string"}
}
}
}
}
}
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