WibblyWall/Paper_Gear_Cardboard

1"""2Test suite for DeepSeek-V4 Encoding.3 4Run: python test_encoding_dsv4.py5"""6 7import json8import os9 10from encoding_dsv4 import encode_messages, parse_message_from_completion_text11 12TESTS_DIR = os.path.join(os.path.dirname(__file__), "tests")13 14 15def test_case_1():16    """Thinking mode with tool calls (multi-turn, tool results merged into user)."""17    with open(os.path.join(TESTS_DIR, "test_input_1.json")) as f:18        td = json.load(f)19        messages = td["messages"]20        messages[0]["tools"] = td["tools"]21    gold = open(os.path.join(TESTS_DIR, "test_output_1.txt")).read()22    prompt = encode_messages(messages, thinking_mode="thinking")23    assert prompt == gold24 25    # Parse: assistant turn with tool call26    marker = "<｜Assistant｜><think>"27    first_start = prompt.find(marker) + len(marker)28    first_end = prompt.find("<｜User｜>", first_start)29    parsed_tc = parse_message_from_completion_text(prompt[first_start:first_end], thinking_mode="thinking")30    assert parsed_tc["reasoning_content"] == "The user wants to know the weather in Beijing. I should use the get_weather tool."31    assert parsed_tc["content"] == ""32    assert len(parsed_tc["tool_calls"]) == 133    assert parsed_tc["tool_calls"][0]["function"]["name"] == "get_weather"34    assert json.loads(parsed_tc["tool_calls"][0]["function"]["arguments"]) == {"location": "Beijing", "unit": "celsius"}35 36    # Parse: final assistant turn with content37    last_start = prompt.rfind(marker) + len(marker)38    parsed_final = parse_message_from_completion_text(prompt[last_start:], thinking_mode="thinking")39    assert parsed_final["reasoning_content"] == "Got the weather data. Let me format a nice response."40    assert "22°C" in parsed_final["content"]41    assert parsed_final["tool_calls"] == []42 43    print("  [PASS] case 1: thinking with tools (encode + parse)")44 45 46def test_case_2():47    """Thinking mode without tools (drop_thinking removes earlier reasoning)."""48    messages = json.load(open(os.path.join(TESTS_DIR, "test_input_2.json")))49    gold = open(os.path.join(TESTS_DIR, "test_output_2.txt")).read()50    prompt = encode_messages(messages, thinking_mode="thinking")51    assert prompt == gold52 53    # Parse: last assistant turn54    marker = "<｜Assistant｜><think>"55    last_start = prompt.rfind(marker) + len(marker)56    parsed = parse_message_from_completion_text(prompt[last_start:], thinking_mode="thinking")57    assert parsed["reasoning_content"] == "The user asks about the capital of France. It is Paris."58    assert parsed["content"] == "The capital of France is Paris."59    assert parsed["tool_calls"] == []60 61    # Verify drop_thinking: first assistant's reasoning should be absent62    assert "The user said hello" not in prompt63 64    print("  [PASS] case 2: thinking without tools (encode + parse)")65 66 67def test_case_3():68    """Interleaved thinking + search (developer with tools, latest_reminder)."""69    messages = json.load(open(os.path.join(TESTS_DIR, "test_input_3.json")))70    gold = open(os.path.join(TESTS_DIR, "test_output_3.txt")).read()71    assert encode_messages(messages, thinking_mode="thinking") == gold72    print("  [PASS] case 3: interleaved thinking + search")73 74 75def test_case_4():76    """Quick instruction task with latest_reminder (chat mode, action task)."""77    messages = json.load(open(os.path.join(TESTS_DIR, "test_input_4.json")))78    gold = open(os.path.join(TESTS_DIR, "test_output_4.txt")).read()79    assert encode_messages(messages, thinking_mode="chat") == gold80    print("  [PASS] case 4: quick instruction task")81 82 83if __name__ == "__main__":84    print("Running DeepSeek-V4 Encoding Tests...\n")85    test_case_1()86    test_case_2()87    test_case_3()88    test_case_4()89    print("\nAll 4 tests passed!")90