How to convert dictionary to schema in fastapi?

@cali_green 

To convert a dictionary to Pydantic schema in FastAPI, you can use Pydantic's BaseModel class to define a schema and then create an instance of this class with your dictionary as input.

Here is an example:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19

from pydantic import BaseModel

# Define a Pydantic schema using BaseModel
class MySchema(BaseModel):
    key1: str
    key2: int

# Create a dictionary
my_dict = {
    "key1": "value1",
    "key2": 42
}

# Convert the dictionary to a Pydantic schema instance
my_schema = MySchema(**my_dict)

# Access the schema fields
print(my_schema.key1)
print(my_schema.key2)

In the example above, we first define a schema MySchema using Pydantic's BaseModel class with two fields key1 and key2. Then we create a dictionary my_dict and convert it to a Pydantic schema instance my_schema using the MySchema(**my_dict) syntax. Finally, we can access the schema fields by accessing the attributes on the my_schema instance.

This way, you can easily convert a dictionary to a Pydantic schema in FastAPI.