61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
import sys
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import os
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import hashlib
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from unittest.mock import patch, MagicMock
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from types import SimpleNamespace
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from pathlib import Path
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# Ensure project root is in path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from src import ai_client
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def test_token_usage_tracking() -> None:
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"""
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Verify that ai_client.send() correctly extracts and logs token usage
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from the Gemini API response.
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"""
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ai_client.reset_session()
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# Mock the google-genai Client and chats.create
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with patch("src.ai_client._ensure_gemini_client"), \
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patch("src.ai_client._gemini_client") as mock_client:
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mock_chat = MagicMock()
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mock_client.chats.create.return_value = mock_chat
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# Create a mock response with usage metadata
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mock_usage = SimpleNamespace(
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prompt_token_count=100,
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candidates_token_count=50,
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total_token_count=150,
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cached_content_token_count=20
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)
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mock_candidate = SimpleNamespace(
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content=SimpleNamespace(parts=[SimpleNamespace(text="Mock Response", function_call=None)]),
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finish_reason="STOP"
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)
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mock_response = SimpleNamespace(
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candidates=[mock_candidate],
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usage_metadata=mock_usage
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)
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mock_chat.send_message.return_value = mock_response
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# Set provider to gemini
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ai_client.set_provider("gemini", "gemini-2.5-flash-lite")
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# Send a message
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ai_client.send("Context", "Hello")
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# Verify usage was logged in the comms log
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comms = ai_client.get_comms_log()
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response_entries = [e for e in comms if e.get("direction") == "IN" and e["kind"] == "response"]
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assert len(response_entries) > 0
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usage = response_entries[0]["payload"]["usage"]
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assert usage["input_tokens"] == 100
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assert usage["output_tokens"] == 50
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assert usage["cache_read_input_tokens"] == 20
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