bug: `predict()` sends request body as raw string, breaks with `pydantic>=2`
还没有人认领这个 Issue。
评估
调研方向
从 vetiver/server.py 中的 predict() 开始，检查请求体是如何发送到 /predict 端点的。使用提供的 FastAPI TestClient 示例在 pydantic 2 下重现该失败，然后验证 predict() 返回预测结果的 DataFrame，且不会出现 422 响应。
由索引模型根据 Issue 内容生成。
描述
Describe the bug
The predict() function in vetiver/server.py sends DataFrame data using requests.post(endpoint, data=...), which transmits the JSON as a raw byte string without setting Content-Type: application/json.
On the server side, the /predict endpoint declares its input as List[Model], relying on FastAPI + Pydantic to parse the body. Pydantic v1 was lenient enough to coerce the raw bytes into the expected type, but pydantic v2 strictly rejects it with a 422:
"Input should be a valid list".
data= sends the body as raw bytes. It should use json= (or set the content type to application/json) so that FastAPI correctly parses the body before handing it to pydantic for validation.
pydantic: 2.12.5
vetiver: 0.2.6
To Reproduce
import vetiver
from fastapi.testclient import TestClient
X, y = vetiver.mock.get_mock_data()
model = vetiver.mock.get_mock_model().fit(X, y)
v = vetiver.VetiverModel(model=model, model_name="model", prototype_data=X)
app = vetiver.VetiverAPI(v).app
client = TestClient(app)
response = vetiver.predict(
"http://testserver/predict", X, test_client=client
)
Traceback (most recent call last):
File "vetiver/server.py", line 379, in predict
response.raise_for_status()
File "httpx/_models.py", line 829, in raise_for_status
raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '422 Unprocessable Entity' for url 'http://testserver/predict'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "demo.py", line 11, in <module>
response = vetiver.predict(
"http://testserver/predict", X, test_client=client
)
File "vetiver/server.py", line 382, in predict
raise TypeError(re.sub(r"\n", ": ", response.text))
TypeError: 1 validation error:: {'type': 'list_type', 'loc': ('body',), 'msg': 'Input should be a valid list', 'input':
b'[{"B":54,"C":48,"D":68},...]'}: : File "vetiver/server.py", line 238, in custom_endpoint: POST /predict
Expected behavior
vetiver.predict() should return a DataFrame of predictions. With pydantic<2 installed, it does
Additional context
Add any other context about the problem here.
- 主要语言
- Python
- 星标
- 71
- 派生
- 20
- PR 合并指标
- 30 天内没有已合并 PR
环境准备
这个项目没有提供开发容器、Dockerfile 或贡献指南，环境需要你自己搭建：先看它的 README，通用步骤见我们的新手贡献指南。
从这里开始
- 先读完整个 Issue，再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
rstudio/vetiver-python 的其他 Issue
-
bug deploy pins
难度 3/5 1-2 天 新手友好度 45/100
rstudio/vetiver-python#240 · 2 条评论 ·
-
enhancement
难度 5/5 一周以上 新手友好度 25/100
rstudio/vetiver-python#239 · 2 条评论 ·
-
deploy enhancement
难度 5/5 一周以上 新手友好度 30/100
rstudio/vetiver-python#238 ·
-
enhancement
难度 5/5 一周以上 新手友好度 25/100
rstudio/vetiver-python#237 · 1 个 reaction ·
-
connect
难度 5/5 一周以上 新手友好度 25/100
rstudio/vetiver-python#236 · 1 个 reaction ·
查看 rstudio/vetiver-python 的全部 Issue
相似的 Issue
-
automated issue report
难度 1/5 1 小时以内 新手友好度 85/100
RapidAI/RapidOCRDocs#119 ·
-
难度 2/5 1-3 小时 新手友好度 70/100
-
难度 2/5 1-3 小时 新手友好度 85/100
btclib-org/btclib-node#1833 ·
维护者通常 1 天内回复
-
IRIS reader: no-data velocity bins (DB_VEL, DB_VELC) returned as 0.0 m/s instead of NaN可能已有人在做 @syedhamidali 今天认领。 未关闭
难度 2/5 1-3 小时 新手友好度 72/100
维护者通常 2 天内回复
-
难度 1/5 1 小时以内 新手友好度 80/100
elodin-sys/elodin#890 ·
维护者通常 1 天内回复