Show python meta-programming with graphql.
(P.S: collect method for collecting nested data is not implemented yet.)
import typing as t
from auto_json.schema_analyse import AutoJson, SchemaMonitor
from auto_json.graphql_naive import generate as naive_generate
from auto_json.graphql_ast import generate as ast_generate
class Building(AutoJson):
name: str
floors: t.List['Floor']
class Floor(AutoJson):
name: str
rooms: t.List['Room']
class Room(AutoJson):
name: str
dimension_gate: t.Optional[Building]
bookmark: t.Dict[str, str]
SchemaMonitor.resolve(strict=True)
naive_generate()
ast_generate()
building = Building.from_dict(data)Where the given data is:
{
"name": "school",
"floors": [
{
"name": "sf1",
"rooms": []
},
{
"name": "sf2",
"rooms": []
},
{
"name": "sf3",
"rooms": [
{
"name": "a304",
"bookmark": {
"link": "target"
},
"dimension_gate": {
"name": "301",
"floors": [
{
"name": "f1",
"rooms": [
{
"bookmark": {},
"dimension_gate": null,
"name": "r1"
},
{
"bookmark": {},
"dimension_gate": null,
"name": "r2"
}
]
},
{
"name": "f2",
"rooms": [
{
"bookmark": {},
"dimension_gate": null,
"name": "r3"
},
{
"bookmark": {},
"dimension_gate": null,
"name": "r4"
}
]
}
]
}
}
]
}
]
}