Sanic and Data Validation using Pydantic - Deepstash
Sanic and Data Validation using Pydantic

Sanic and Data Validation using Pydantic

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Data Validator

Data Validator

  • pydantic class allows custom data types to be defined or we can extend validation with methods on a model decorated with the validator decorator
  • Here, The datatype of name, grade, roll, email, phone, subjects, friends must be as mentioned in pydantic class else it will raise an error (pydantic validation error)


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  • Serialization means to convert an object into that string , and deserialization is its inverse operation (convert string -> object) .
  • When transmitting a student in a file, the student is required to be byte strings, but Pydntic(here Student) objects are seldom in this format. Serialization can convert these Pydantic objects into byte strings for such use. After the byte strings are transmitted, the receiver will have to recover the original object from the byte string. ref
  • We need JSON Serializable objects to provide HTTP Response.


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