Input should be a valid string [type=string_type, input_value=['incorrect', 'string', 'list'], input_type=list] For further information visit https://errors.pydantic.dev/2.7/v/string_type aka Field required [typ
[# {# "type": "int_parsing",# "loc": [# "path",# "some_int"# ],# "msg": "Input should be a valid integer, unable to parse string as an integer",# "input": "abc"# }# ]# }@app.get("/int/{some_int}")asyncdefhello_some_int(some_int:int):return{"message":{some_...
'msg':'Input should be a valid integer, unable to parse string as an integer', 'input':'foo', 'url':'https://errors.pydantic.dev/2.5/v/int_parsing' } ] } 这个错误响应指出了问题所在:item_id应该是一个整数,但是接收到了字符串 'foo'。 浮点数类型校验 (float) FastAPI 对浮点数类型的校...
"msg":"Input should be a valid integer, unable to parse string as an integer", "input":"world" } ] } """return{"a":a,'b':b} 路由:/query 参数: a: 整数类型,默认值为 10 b: 字符串类型,默认值为 'hello' 示例请求: GET /query返回{"a":10,"b":"hello"} GET /query?a=999&b...
@文心快码fastapi input should be a valid dictionary or object to extract fields from 文心快码 在FastAPI中,输入数据通常是通过请求体(request body)传递的,这些数据应该是有效的JSON对象,这样FastAPI才能正确地解析并提取字段。如果输入数据不是有效的字典或对象,FastAPI将无法正确解析并会抛出错误。以下是针对你...
{"detail":[{"type":"int_parsing","loc":["path","item_id"],"msg":"Input should be a valid integer, unable to parse string as an integer","input":"foo"}]} 在FastAPI 中,数据校验由Pydantic实现。 二 路径操作的顺序 路径操作按定义顺序依次运行。如果一个 URI 既与特定路径匹配,又与包含...
"msg": "Input should be a valid integer, unable to parse string as an integer", "input": "foo" } ] } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 这表明FastAPI通过Pydantic实现数据校验。 4. 路径参数元数据 FastAPI允许在路径参数中声明元数据,如描述、示例值、别名等,这些元数...
"msg":"Input should be a valid integer, unable to parse string as an integer", "input":"apple" } ] } 自定义错误消息 通过Path 类的 description 参数或自定义异常来优化错误提示。 示例:添加描述信息 from fastapi import FastAPI, Path
with an arrow, ->. This simply means that the function takes two parameters, a string name and an integer age, that is supposed to return a string, denoted by the arrow. Note that if you try this function with a string argument for the age variable, you will still get a valid ...
{"detail":[{"type":"int_parsing","loc":["path","item_id"],"msg":"Input should be a valid integer, unable to parse string as an integer","input":"foo","url":"https://errors.pydantic.dev/2.1/v/int_parsing"}]} because the path parameteritem_idhad a value of"foo", which is...