Comments (7)
see #6 :)
from datamodel-code-generator.
If you push a tag, I think the build should upload to pypi (if we're lucky!)
from datamodel-code-generator.
Oops, I think we need to add long_description_content_type = text/markdown
to the metadata section of setup.cfg
This is the error on upload in the build logs:
HTTPError: 400 Client Error: The description failed to render in the default format of reStructuredText. See https://pypi.org/help/#description-content-type for more information. for url: https://upload.pypi.org/legacy/```
from datamodel-code-generator.
Just saw your commit
from datamodel-code-generator.
Thank you for watching the repo :)
from datamodel-code-generator.
Looks like both sub-builds are uploading and the one that gets in second is failing...
Going to bed now, but I'll look at how we can conditionally upload on only one of the builds (3.7 maybe)
In any case, the package is on PyPI!
from datamodel-code-generator.
Thank you for following me.
I'm looking for it too.
from datamodel-code-generator.
Related Issues (20)
- `--use-title-as-name` does not allow multi-module Python output.
- OpenAPI with oneOf prevents direct access to generated model's fields HOT 3
- Dataclass generation does not include specified string format like uuid HOT 5
- Bug with oneOf and const HOT 1
- Property name in schema is the same as imported module name, causing RecursionError in pydantic HOT 1
- Default value when using ref HOT 2
- Option '--url' behaves differently from '--input' with same input file
- sqlmodel.SQLModel support HOT 1
- Cannot override a $ref field to make it required
- code generat fail, if json contain specific chinese HOT 2
- Reference to model that yields name collision results in `import as` and erroneous field access
- Serialization of subclasses changed in pydantic v2
- Backslash in docstrings are not escaped
- Generation of confloat warnings HOT 1
- nullable array items are not defined as Optional, despite using --strict-nullable
- Strip default None from model fields when converting from yaml swagger to pydantic model
- Include the command line options, or a complete command string in the generated file comment header
- References to other files don't work
- Consider replacing `datamodel-code-generator/datamodel_code_generator/reference.py` with the referencing library HOT 2
- Black 24.1.0 breaks code formatting if wrap-string-literal is set HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from datamodel-code-generator.