SemanticScuttle - klotz.me

klotz: types* + pydantic*

0 bookmark(s) - Sort by: Date ↓ / Title / - Bookmarks from other users for this tag

1. pydantic python types

   # main.py
   
   import json
   from pydantic import BaseModel, EmailStr, ValidationError, validator
   
   class Employee(BaseModel):
   name: str
   age: int
   email: EmailStr
   department: str
   employee_id: str
   
   @validator("employee_id")
   def validate_employee_id(cls, v):
   if not v.isalnum() or len(v) != 6:
   raise ValueError("Employee ID must be exactly 6 alphanumeric characters")
   return v
   
   # Load and parse the JSON data
   with open("employees.json", "r") as f:
   data = json.load(f)
   
   # Validate each employee record
   for record in data:
   try:
   employee = Employee(**record)
   print(f"Valid employee record: {employee.name}")
   except ValidationError as e:
   print(f"Invalid employee record: {record 'name' » }")
   print(f"Errors: {e.errors()}"

   2024-03-26 Tags: pydantic, python, types by klotz

Top of the page

First / Previous / Next / Last / Page 1 of 0