Files
ragflow/test/unit_test/api/utils/test_api_utils.py
Harsh Kashyap 289ca28ce2 Fix OpenAI agent stream chunk shape (#16402)
### What problem does this PR solve?

Closes #8175.

The Agent OpenAI-compatible streaming path uses `get_data_openai(...,
stream=True)`, but that helper currently returns a minimal chunk shape.
The main OpenAI-compatible chat endpoint already includes chunk metadata
such as `created`, `system_fingerprint`, `usage`, `logprobs`, and
assistant role/tool placeholders.

This PR aligns the Agent stream helper with that existing
OpenAI-compatible chunk shape while keeping the current `delta.content`
behavior and existing reference injection path intact.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

### Verification

- `./.venv/bin/python -m pytest
test/unit_test/api/utils/test_api_utils.py -q`
- `python3 -m py_compile api/utils/api_utils.py
test/unit_test/api/utils/test_api_utils.py`
- `uvx ruff check api/utils/api_utils.py
test/unit_test/api/utils/test_api_utils.py`

---------

Co-authored-by: Harsh Kashyap <harshkashyap@Harshs-MacBook-Pro.local>
2026-07-10 10:59:32 +08:00

76 lines
2.4 KiB
Python

#
# Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from api.utils import api_utils
def test_get_data_openai_stream_chunk_matches_openai_shape(monkeypatch):
monkeypatch.setattr(api_utils.time, "time", lambda: 1234567890.9)
data = api_utils.get_data_openai(id="chatcmpl-test", model="test-model", content="chunk", stream=True)
assert data == {
"id": "chatcmpl-test",
"object": "chat.completion.chunk",
"created": 1234567890,
"model": "test-model",
"system_fingerprint": "",
"usage": None,
"choices": [
{
"delta": {
"content": "chunk",
"role": "assistant",
"function_call": None,
"tool_calls": None,
},
"finish_reason": None,
"index": 0,
"logprobs": None,
}
],
}
def test_get_data_openai_stream_preserves_explicit_created_value():
data = api_utils.get_data_openai(created=0, content="chunk", stream=True)
assert data["created"] == 0
def test_get_data_openai_terminal_stream_chunk_includes_usage():
data = api_utils.get_data_openai(prompt_tokens=3, completion_tokens=5, content=None, finish_reason="stop", stream=True)
assert data["usage"] == {
"prompt_tokens": 3,
"completion_tokens": 5,
"total_tokens": 8,
"completion_tokens_details": {
"reasoning_tokens": 0,
"accepted_prediction_tokens": 0,
"rejected_prediction_tokens": 0,
},
}
assert data["choices"][0]["finish_reason"] == "stop"
def test_get_data_openai_stream_delta_allows_reference_payload():
data = api_utils.get_data_openai(content="chunk", stream=True)
data["choices"][0]["delta"]["reference"] = {"chunks": []}
assert data["choices"][0]["delta"]["reference"] == {"chunks": []}