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"""
OpenAI API compatibility tests
Run with: pytest tests/performance/test_openai_compatibility.py -v -s
"""
import pytest
import httpx
from openai import OpenAI
import os
# Test configuration
BASE_URL = "https://jeanbaptdzd-open-finance-llm-8b.hf.space"
# BASE_URL = "http://localhost:7860" # For local testing
@pytest.fixture
def httpx_client():
return httpx.AsyncClient(timeout=60.0)
@pytest.fixture
def openai_client():
"""Test using official OpenAI client library"""
return OpenAI(
base_url=f"{BASE_URL}/v1",
api_key="dummy-key" # Service may not require auth
)
class TestEndpointCompatibility:
"""Test that all OpenAI endpoints are available and compatible"""
@pytest.mark.asyncio
async def test_list_models_endpoint(self, httpx_client):
"""Test GET /v1/models endpoint"""
response = await httpx_client.get(f"{BASE_URL}/v1/models")
assert response.status_code == 200
data = response.json()
print(f"\n=== Models Endpoint ===")
print(f"Response structure: {data.keys()}")
# Check OpenAI-compatible structure
assert "object" in data
assert data["object"] == "list"
assert "data" in data
assert isinstance(data["data"], list)
assert len(data["data"]) > 0
# Check model object structure
model = data["data"][0]
assert "id" in model
assert "object" in model
assert model["object"] == "model"
print(f"Available models: {[m['id'] for m in data['data']]}")
@pytest.mark.asyncio
async def test_chat_completions_endpoint(self, httpx_client):
"""Test POST /v1/chat/completions endpoint"""
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [
{"role": "user", "content": "Say hello"}
]
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
assert response.status_code == 200
data = response.json()
print(f"\n=== Chat Completions Endpoint ===")
print(f"Response structure: {data.keys()}")
# Check OpenAI-compatible structure
assert "id" in data
assert "object" in data
assert data["object"] == "chat.completion"
assert "created" in data
assert "model" in data
assert "choices" in data
assert "usage" in data
# Check choices structure
assert len(data["choices"]) > 0
choice = data["choices"][0]
assert "index" in choice
assert "message" in choice
assert "role" in choice["message"]
assert "content" in choice["message"]
assert "finish_reason" in choice
# Check usage structure
usage = data["usage"]
assert "prompt_tokens" in usage
assert "completion_tokens" in usage
assert "total_tokens" in usage
print(f"Response: {choice['message']['content'][:100]}...")
class TestOpenAIClientLibrary:
"""Test compatibility with official OpenAI Python client"""
def test_chat_completion_with_openai_client(self, openai_client):
"""Test chat completion using official OpenAI client"""
try:
response = openai_client.chat.completions.create(
model="DragonLLM/Qwen-Open-Finance-R-8B",
messages=[
{"role": "user", "content": "What is 2+2?"}
],
max_tokens=50
)
print(f"\n=== OpenAI Client Compatibility ===")
print(f"Response type: {type(response)}")
print(f"Model: {response.model}")
print(f"Content: {response.choices[0].message.content}")
print(f"Usage: {response.usage}")
assert response.choices[0].message.content is not None
assert len(response.choices) > 0
except Exception as e:
pytest.fail(f"OpenAI client failed: {e}")
def test_streaming_with_openai_client(self, openai_client):
"""Test streaming with official OpenAI client"""
try:
stream = openai_client.chat.completions.create(
model="DragonLLM/Qwen-Open-Finance-R-8B",
messages=[
{"role": "user", "content": "Count to 5"}
],
max_tokens=50,
stream=True
)
print(f"\n=== Streaming Compatibility ===")
chunks = []
for chunk in stream:
if chunk.choices[0].delta.content:
chunks.append(chunk.choices[0].delta.content)
print(chunk.choices[0].delta.content, end="", flush=True)
print()
assert len(chunks) > 0, "No chunks received"
except Exception as e:
pytest.fail(f"Streaming failed: {e}")
class TestMessageFormats:
"""Test different message formats and parameters"""
@pytest.mark.asyncio
async def test_system_message(self, httpx_client):
"""Test with system message"""
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello"}
],
"max_tokens": 50
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
assert response.status_code == 200
data = response.json()
print(f"\n=== System Message Test ===")
print(f"Response: {data['choices'][0]['message']['content'][:100]}...")
@pytest.mark.asyncio
async def test_conversation_history(self, httpx_client):
"""Test with conversation history"""
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [
{"role": "user", "content": "My name is Alice."},
{"role": "assistant", "content": "Hello Alice! Nice to meet you."},
{"role": "user", "content": "What's my name?"}
],
"max_tokens": 50
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
assert response.status_code == 200
data = response.json()
print(f"\n=== Conversation History Test ===")
print(f"Response: {data['choices'][0]['message']['content']}")
@pytest.mark.asyncio
async def test_various_parameters(self, httpx_client):
"""Test various OpenAI parameters"""
parameters = [
{"temperature": 0.0},
{"temperature": 1.0},
{"top_p": 0.5},
{"max_tokens": 10},
{"max_tokens": 100},
]
print(f"\n=== Parameter Compatibility Test ===")
for params in parameters:
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [{"role": "user", "content": "Hello"}],
**params
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
assert response.status_code == 200
print(f"✓ Parameters {params} work correctly")
class TestErrorHandling:
"""Test error handling and edge cases"""
@pytest.mark.asyncio
async def test_invalid_model(self, httpx_client):
"""Test with invalid model name"""
payload = {
"model": "invalid-model",
"messages": [{"role": "user", "content": "Hello"}]
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
print(f"\n=== Invalid Model Test ===")
print(f"Status: {response.status_code}")
# Should handle gracefully (either 400 or use default model)
@pytest.mark.asyncio
async def test_missing_messages(self, httpx_client):
"""Test with missing messages field"""
payload = {
"model": "DragonLLM/LLM-Pro-Finance-Small"
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
print(f"\n=== Missing Messages Test ===")
print(f"Status: {response.status_code}")
assert response.status_code in [400, 422], "Should return error for missing messages"
@pytest.mark.asyncio
async def test_empty_message(self, httpx_client):
"""Test with empty message content"""
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [{"role": "user", "content": ""}],
"max_tokens": 50
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
print(f"\n=== Empty Message Test ===")
print(f"Status: {response.status_code}")
class TestResponseFormat:
"""Test response format compliance"""
@pytest.mark.asyncio
async def test_response_schema(self, httpx_client):
"""Validate complete response schema"""
payload = {
"model": "DragonLLM/Qwen-Open-Finance-R-8B",
"messages": [{"role": "user", "content": "Test"}],
"max_tokens": 50
}
response = await httpx_client.post(
f"{BASE_URL}/v1/chat/completions",
json=payload
)
assert response.status_code == 200
data = response.json()
print(f"\n=== Response Schema Validation ===")
# Root level fields
required_fields = ["id", "object", "created", "model", "choices", "usage"]
for field in required_fields:
assert field in data, f"Missing required field: {field}"
print(f"✓ {field}: {type(data[field]).__name__}")
# Choices validation
choice = data["choices"][0]
choice_fields = ["index", "message", "finish_reason"]
for field in choice_fields:
assert field in choice, f"Missing choice field: {field}"
# Message validation
message = choice["message"]
message_fields = ["role", "content"]
for field in message_fields:
assert field in message, f"Missing message field: {field}"
# Usage validation
usage = data["usage"]
usage_fields = ["prompt_tokens", "completion_tokens", "total_tokens"]
for field in usage_fields:
assert field in usage, f"Missing usage field: {field}"
assert isinstance(usage[field], int), f"{field} should be int"
print("✓ All schema validations passed")
if __name__ == "__main__":
pytest.main([__file__, "-v", "-s"])
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