-
I had to revert to `pydantic 'ElementSerializer':
File "/usr/local/lib/python3.10/dist-packages/pydantic_core/core_schema.py", line 4132, in __getattr__ …
-
When generating a definitions from a schema, if defaults are used for dictionaries or arrays, **datamodel-code-generator** currently creates models using the `default` keyword for fields. In my opinio…
-
```
import requests
url = 'https://data.ntpc.gov.tw/api/datasets/c51d5111-c300-44c9-b4f1-4b28b9929ca2/json?size=1000'
response = requests.get(url)
print(response.text)
```
-
### Initial Checks
- [X] I confirm that I'm using Pydantic V2
### Description
There seems to be a bug when having a non-default type as the value type for a `defaultdict`: You have to wrap the `Fie…
-
# Bug
I have the following model:
```python
class CompanyRelation(EmbeddedModel):
company_id: str = Field(key_name="companyId")
class Person(Model):
model_config: ClassVar = {
…
-
### Describe the bug
[HuggingFaceEndpoint](libs/partners/huggingface/langchain_huggingface/llms/huggingface_endpoint.py) in the partners libs **HuggingFace** in the **Langchain librairy** cannot be u…
-
### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a…
-
所要的資料如下圖:
-
### Question
Hello thanks for this package experimenting on instrumenting some api I'm developping.
I just noticed that instrumenting endpoint with validation that validate big response in size. H…
-
### Comment:
The latest version of `pydantic_factories` vendors `xeger`. As such, it's not needed as a runtime dependency anymore.