Python examples

Simple model

A simple model with some scalar properties.

{
  "definitions": {
    "Student": {
      "description": "A simple student struct",
      "type": "struct",
      "properties": {
        "firstName": {
          "type": "string"
        },
        "lastName": {
          "type": "string"
        },
        "age": {
          "type": "integer"
        }
      }
    }
  },
  "root": "Student"
}

student.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict


# A simple student struct
class Student(BaseModel):
    first_name: Optional[str] = Field(default=None, alias="firstName")
    last_name: Optional[str] = Field(default=None, alias="lastName")
    age: Optional[int] = Field(default=None, alias="age")
    pass

Model with inheritance

A student struct which extends from a different struct.

{
  "definitions": {
    "Human": {
      "type": "struct",
      "properties": {
        "firstName": {
          "type": "string"
        },
        "lastName": {
          "type": "string"
        },
        "age": {
          "type": "integer"
        }
      }
    },
    "Student": {
      "parent": {
        "type": "reference",
        "target": "Human"
      },
      "type": "struct",
      "properties": {
        "studentId": {
          "type": "string"
        }
      }
    }
  },
  "root": "Student"
}

human.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
class Human(BaseModel):
    first_name: Optional[str] = Field(default=None, alias="firstName")
    last_name: Optional[str] = Field(default=None, alias="lastName")
    age: Optional[int] = Field(default=None, alias="age")
    pass

student.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .human import Human
class Student(Human):
    student_id: Optional[str] = Field(default=None, alias="studentId")
    pass

Model with reference

A student struct which reference a faculty struct.

{
  "definitions": {
    "Student": {
      "description": "A student struct with an assigned faculty",
      "type": "struct",
      "properties": {
        "firstName": {
          "type": "string"
        },
        "lastName": {
          "type": "string"
        },
        "age": {
          "type": "integer"
        },
        "faculty": {
          "type": "reference",
          "target": "Faculty"
        }
      }
    },
    "Faculty": {
      "type": "struct",
      "properties": {
        "name": {
          "type": "string"
        }
      }
    }
  },
  "root": "Student"
}

student.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .faculty import Faculty


# A student struct with an assigned faculty
class Student(BaseModel):
    first_name: Optional[str] = Field(default=None, alias="firstName")
    last_name: Optional[str] = Field(default=None, alias="lastName")
    age: Optional[int] = Field(default=None, alias="age")
    faculty: Optional[Faculty] = Field(default=None, alias="faculty")
    pass

faculty.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
class Faculty(BaseModel):
    name: Optional[str] = Field(default=None, alias="name")
    pass

Map with string values

A student struct which contains a map with arbitrary string values.

{
  "definitions": {
    "Student": {
      "type": "struct",
      "properties": {
        "firstName": {
          "type": "string"
        },
        "lastName": {
          "type": "string"
        },
        "age": {
          "type": "integer"
        },
        "properties": {
          "type": "map",
          "schema": {
            "type": "string"
          }
        }
      }
    }
  },
  "root": "Student"
}

student.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
class Student(BaseModel):
    first_name: Optional[str] = Field(default=None, alias="firstName")
    last_name: Optional[str] = Field(default=None, alias="lastName")
    age: Optional[int] = Field(default=None, alias="age")
    properties: Optional[Dict[str, str]] = Field(default=None, alias="properties")
    pass

Model with discriminator

A struct which uses a discriminator mapping.

{
  "definitions": {
    "Human": {
      "type": "struct",
      "properties": {
        "firstName": {
          "type": "string"
        },
        "lastName": {
          "type": "string"
        },
        "location": {
          "type": "reference",
          "target": "Location"
        }
      }
    },
    "Location": {
      "type": "struct",
      "base": true,
      "properties": {
        "type": {
          "type": "string"
        }
      },
      "discriminator": "type",
      "mapping": {
        "Web": "web",
        "World": "world"
      }
    },
    "Web": {
      "parent": {
        "type": "reference",
        "target": "Location"
      },
      "type": "struct",
      "properties": {
        "url": {
          "type": "string"
        }
      }
    },
    "World": {
      "parent": {
        "type": "reference",
        "target": "Location"
      },
      "type": "struct",
      "properties": {
        "lat": {
          "type": "string"
        },
        "long": {
          "type": "string"
        }
      }
    }
  },
  "root": "Human"
}

human.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .location import Location
class Human(BaseModel):
    first_name: Optional[str] = Field(default=None, alias="firstName")
    last_name: Optional[str] = Field(default=None, alias="lastName")
    location: Optional[Location] = Field(default=None, alias="location")
    pass

location.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .web import Web
from .world import World
class Location(BaseModel):
    type: Optional[str] = Field(default=None, alias="type")
    pass

web.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .location import Location
class Web(Location):
    url: Optional[str] = Field(default=None, alias="url")
    pass

world.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .location import Location
class World(Location):
    lat: Optional[str] = Field(default=None, alias="lat")
    long: Optional[str] = Field(default=None, alias="long")
    pass

Model with generics

A struct which uses generics.

{
  "definitions": {
    "Student": {
      "type": "object",
      "properties": {
        "matricleNumber": {
          "type": "integer"
        }
      }
    },
    "StudentMap": {
      "type": "struct",
      "parent": {
        "type": "reference",
        "target": "Map",
        "template": {
          "T": "Student"
        }
      }
    },
    "Map": {
      "type": "object",
      "properties": {
        "totalResults": {
          "type": "integer"
        },
        "entries": {
          "type": "array",
          "schema": {
            "type": "generic",
            "name": "T"
          }
        }
      }
    }
  },
  "root": "StudentMap"
}

student.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
class Student(BaseModel):
    matricle_number: Optional[int] = Field(default=None, alias="matricleNumber")
    pass

map.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
T = TypeVar("T")
class Map(BaseModel, Generic[T]):
    total_results: Optional[int] = Field(default=None, alias="totalResults")
    entries: Optional[List[T]] = Field(default=None, alias="entries")
    pass

student_map.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .map import Map
from .student import Student
class StudentMap(Map[Student]):
    pass

Import other TypeSchema specification

A struct which references an external TypeSchema.

{
  "import": {
    "my_ns": "file:///generic.json"
  },
  "definitions": {
    "Faculty": {
      "type": "object",
      "properties": {
        "description": {
          "type": "string"
        },
        "students": {
          "type": "array",
          "schema": {
            "type": "reference",
            "target": "my_ns:StudentMap"
          }
        }
      }
    }
  },
  "root": "Faculty"
}

faculty.py

from pydantic import BaseModel, Field, GetCoreSchemaHandler
from pydantic_core import CoreSchema, core_schema
from typing import Any, Dict, Generic, List, Optional, TypeVar, UserList, UserDict
from .student_map import StudentMap
class Faculty(BaseModel):
    description: Optional[str] = Field(default=None, alias="description")
    students: Optional[List[StudentMap]] = Field(default=None, alias="students")
    pass

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