Questions tagged [pydantic]
Pydantic is a library for data validation and settings management based on Python type hinting and variable annotations. You can use Pydantic for defining schemas of complex structures in Python.
pydantic
2,237
questions
2
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1
answer
18
views
How to write Decorator or Wrapper over @validator in Pyndantic to print success msg after validator runs successfully
from pydantic import BaseModel, validator
def validator_decorator(message):
def decorator(func):
def wrapper(cls, v, values, config, field):
# Call the original validator ...
0
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0
answers
15
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Decorator over Pydantic Validator
@validator('name')
def name_must_contain_space(cls, v):
if ' ' not in v:
raise ValueError('must contain a space')
return v
Now Can I write a decorator over @validator to print ...
1
vote
1
answer
29
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Export Pydantic model classes (not instances) to JSON
I understand that Pydantic can export models to JSON, see ref. But in practice, this means instances of a model:
from datetime import datetime
from pydantic import BaseModel
class BarModel(BaseModel):...
- 1,152
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33
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Is it possible (or recommended?) to mix abstract base classes with Pydantic BaseModel?
In the example code below, I tried to combine abstract base classes with Pydantic. I wanted to write this code because I had an existing type Ticker which has two implementations. It can either be ...
0
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2
answers
63
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How to clear pydantic object to default values?
I need default values to be cleared in a Pydantic model. I cannot recreate the object because, in my use case, it has references that need to be preserved. Could you please show me the best practices ...
- 595
0
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1
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38
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Pydantic 2.7 date_from_datetime_parsing error
I have a model in pydantic in the following format:
class CommonResponse(_BaseSchema):
""" Schema com os campos padrões dos objetos response """
legal_nature: str ...
0
votes
0
answers
28
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Dagster: Connect assets with operations to validate data model
I recently discovered dagster as an alternative of airflow and I really like it. Great job from the team.
However, I am looking for some help regarding a problem I am facing.
I have several assets ...
- 737
-2
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How to use type(obj)([......]) to create class instance [duplicate]
Please see py-automapper sourcecode
class Address(BaseModel):
street: Optional[str]
number: Optional[int]
zip_code: Optional[int]
city: Optional[str]
address = ...
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0
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50
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Attribute Scope Issues with FastEmbedEmbeddings in Flask-based RAG Server
I am very new to python... in every way. Which, may be the root of the problem. I was attempting to follow a RAG tutorial watching Llama3 Full Rag - API with Ollama, LangChain and ChromaDB with Flask ...
- 395
0
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0
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22
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Validate a single boolean value using pydantic
I am using Pydantic extensively in my repository.
Pydantic is good at validating models. However, there are some cases where I might want to validate a single value, in this case a boolean. There are ...
- 212
0
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1
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44
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Trying to create a one-to-many relationship in both directions
All, thanks for taking the time to help. Basically, I have a table called Task that has a one-to-many relationship with a table called Label. This works just fine. I can assign every label I create ...
- 387
2
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1
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63
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Set Pydantic BaseModel field type dynamically when instantiating an instance?
With Pydantic is it possible to build a model where the type of one of its fields is set via an argument when creating an instance?
For example:
class Animal(BaseModel):
name: str
class Dog(...
- 9,833
0
votes
1
answer
49
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Is it possible to get a dict of fields with FieldInfo from the Pydantic Dataclass?
When creating classes by inheriting from BaseModel, I can use the model_fields property to get a dict of field names, and FieldInfo, but how can I do it if I use the Pydantic Dataclass decorator ...
- 961
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76
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How do I best send Pydantic model objects via put requests?
I am quite new to Pydantic. I have noticed how it is often used in validating input to FastAPI.
I have a project where I need to send something to another application's API endpoint and thought I ...
- 1,201
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49
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CrewAI Langchain StructuredTool JSON
I have a custom tool using the langchain StructuredTool.from_function
from langchain.tools.base import StructuredTool
from langchain_core.pydantic_v1 import BaseModel, Field
create_draft_tool = ...
- 352