63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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from run_agent import AIAgent
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def _mock_response(*, usage: dict, content: str = "done"):
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msg = SimpleNamespace(content=content, tool_calls=None)
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choice = SimpleNamespace(message=msg, finish_reason="stop")
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return SimpleNamespace(
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choices=[choice],
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model="test/model",
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usage=SimpleNamespace(**usage),
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)
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def _make_agent(session_db, *, platform: str):
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with (
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patch("run_agent.get_tool_definitions", return_value=[]),
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patch("run_agent.check_toolset_requirements", return_value={}),
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patch("run_agent.OpenAI"),
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):
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agent = AIAgent(
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api_key="test-key",
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quiet_mode=True,
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skip_context_files=True,
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skip_memory=True,
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session_db=session_db,
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session_id=f"{platform}-session",
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platform=platform,
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)
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agent.client = MagicMock()
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agent.client.chat.completions.create.return_value = _mock_response(
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usage={
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"prompt_tokens": 11,
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"completion_tokens": 7,
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"total_tokens": 18,
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}
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)
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return agent
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def test_run_conversation_persists_tokens_for_telegram_sessions():
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session_db = MagicMock()
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agent = _make_agent(session_db, platform="telegram")
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result = agent.run_conversation("hello")
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assert result["final_response"] == "done"
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session_db.update_token_counts.assert_called_once()
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assert session_db.update_token_counts.call_args.args[0] == "telegram-session"
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def test_run_conversation_persists_tokens_for_cron_sessions():
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session_db = MagicMock()
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agent = _make_agent(session_db, platform="cron")
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result = agent.run_conversation("hello")
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assert result["final_response"] == "done"
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session_db.update_token_counts.assert_called_once()
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assert session_db.update_token_counts.call_args.args[0] == "cron-session"
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