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import os
import re
from typing import Union
import pytest
from _pytest.monkeypatch import MonkeyPatch
from requests import Response
from requests.sessions import Session
from xinference_client.client.restful.restful_client import (
Client,
RESTfulChatModelHandle,
RESTfulEmbeddingModelHandle,
RESTfulGenerateModelHandle,
RESTfulRerankModelHandle,
)
from xinference_client.types import Embedding, EmbeddingData, EmbeddingUsage
class MockXinferenceClass:
def get_chat_model(self: Client, model_uid: str) -> Union[RESTfulGenerateModelHandle, RESTfulChatModelHandle]:
if not re.match(r"https?:\/\/[^\s\/$.?#].[^\s]*$", self.base_url):
raise RuntimeError("404 Not Found")
if "generate" == model_uid:
return RESTfulGenerateModelHandle(model_uid, base_url=self.base_url, auth_headers={})
if "chat" == model_uid:
return RESTfulChatModelHandle(model_uid, base_url=self.base_url, auth_headers={})
if "embedding" == model_uid:
return RESTfulEmbeddingModelHandle(model_uid, base_url=self.base_url, auth_headers={})
if "rerank" == model_uid:
return RESTfulRerankModelHandle(model_uid, base_url=self.base_url, auth_headers={})
raise RuntimeError("404 Not Found")
def get(self: Session, url: str, **kwargs):
response = Response()
if "v1/models/" in url:
# get model uid
model_uid = url.split("/")[-1] or ""
if not re.match(
r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", model_uid
) and model_uid not in {"generate", "chat", "embedding", "rerank"}:
response.status_code = 404
response._content = b"{}"
return response
# check if url is valid
if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", url):
response.status_code = 404
response._content = b"{}"
return response
if model_uid in {"generate", "chat"}:
response.status_code = 200
response._content = b"""{
"model_type": "LLM",
"address": "127.0.0.1:43877",
"accelerators": [
"0",
"1"
],
"model_name": "chatglm3-6b",
"model_lang": [
"en"
],
"model_ability": [
"generate",
"chat"
],
"model_description": "latest chatglm3",
"model_format": "pytorch",
"model_size_in_billions": 7,
"quantization": "none",
"model_hub": "huggingface",
"revision": null,
"context_length": 2048,
"replica": 1
}"""
return response
elif model_uid == "embedding":
response.status_code = 200
response._content = b"""{
"model_type": "embedding",
"address": "127.0.0.1:43877",
"accelerators": [
"0",
"1"
],
"model_name": "bge",
"model_lang": [
"en"
],
"revision": null,
"max_tokens": 512
}"""
return response
elif "v1/cluster/auth" in url:
response.status_code = 200
response._content = b"""{
"auth": true
}"""
return response
def _check_cluster_authenticated(self):
self._cluster_authed = True
def rerank(
self: RESTfulRerankModelHandle, documents: list[str], query: str, top_n: int, return_documents: bool
) -> dict:
# check if self._model_uid is a valid uuid
if (
not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid)
and self._model_uid != "rerank"
):
raise RuntimeError("404 Not Found")
if not re.match(r"^(https?):\/\/[^\s\/$.?#].[^\s]*$", self._base_url):
raise RuntimeError("404 Not Found")
if top_n is None:
top_n = 1
return {
"results": [
{"index": i, "document": doc, "relevance_score": 0.9} for i, doc in enumerate(documents[:top_n])
]
}
def create_embedding(self: RESTfulGenerateModelHandle, input: Union[str, list[str]], **kwargs) -> dict:
# check if self._model_uid is a valid uuid
if (
not re.match(r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", self._model_uid)
and self._model_uid != "embedding"
):
raise RuntimeError("404 Not Found")
if isinstance(input, str):
input = [input]
ipt_len = len(input)
embedding = Embedding(
object="list",
model=self._model_uid,
data=[
EmbeddingData(index=i, object="embedding", embedding=[1919.810 for _ in range(768)])
for i in range(ipt_len)
],
usage=EmbeddingUsage(prompt_tokens=ipt_len, total_tokens=ipt_len),
)
return embedding
MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
@pytest.fixture
def setup_xinference_mock(request, monkeypatch: MonkeyPatch):
if MOCK:
monkeypatch.setattr(Client, "get_model", MockXinferenceClass.get_chat_model)
monkeypatch.setattr(Client, "_check_cluster_authenticated", MockXinferenceClass._check_cluster_authenticated)
monkeypatch.setattr(Session, "get", MockXinferenceClass.get)
monkeypatch.setattr(RESTfulEmbeddingModelHandle, "create_embedding", MockXinferenceClass.create_embedding)
monkeypatch.setattr(RESTfulRerankModelHandle, "rerank", MockXinferenceClass.rerank)
yield
if MOCK:
monkeypatch.undo()
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