82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
"""تست بودجه context."""
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from __future__ import annotations
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from app.services.ai.ai_context_budget import (
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compress_history_messages,
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compute_context_usage,
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is_context_overflow_error,
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prepare_messages_for_context,
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)
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class _FakeProvider:
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def estimate_tokens(self, text: str) -> int:
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return max(1, len(text) // 4)
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def test_compute_context_usage_ratio():
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msgs = [{"role": "user", "content": "x" * 4000}]
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usage = compute_context_usage(msgs, _FakeProvider(), budget_tokens=1000)
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assert usage["usage_ratio"] > 0.5
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assert usage["should_summarize"] is True
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def test_compress_history_inserts_summary():
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rest = [{"role": "user", "content": f"msg {i}"} for i in range(50)]
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messages = [{"role": "system", "content": "sys"}] + rest
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compressed, flag = compress_history_messages(messages)
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assert flag is True
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contents = [m.get("content", "") for m in compressed if m.get("role") == "user"]
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assert any("خلاصه" in c for c in contents)
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def test_prepare_messages_trims_when_large():
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messages = [{"role": "user", "content": "a" * 20000} for _ in range(3)]
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prepared, meta = prepare_messages_for_context(
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"system " * 100,
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messages,
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_FakeProvider(),
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budget_tokens=500,
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force_summarize=True,
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)
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assert meta["history_summarized"] is True
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assert len(prepared) >= 2
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def test_is_context_overflow_error_detects_phrase():
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assert is_context_overflow_error(Exception("context length exceeded"))
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assert not is_context_overflow_error(Exception("other error"))
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def test_is_strict_tool_pairing_error_detects_phrase():
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from app.services.ai.ai_context_budget import is_strict_tool_pairing_error
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err = Exception(
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"Message has tool role, but there was no previous assistant message with a tool call!"
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)
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assert is_strict_tool_pairing_error(err)
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assert not is_strict_tool_pairing_error(Exception("other error"))
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def test_prepare_messages_includes_section_token_breakdown():
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from app.services.ai.ai_system_prompt import compose_structured_system_prompt
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structured = compose_structured_system_prompt(
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static_core="S" * 40,
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business_anchor="B",
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semi_static_sections=("insights-block",),
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insights_section="insights-block",
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runtime_sections=("now",),
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role="user",
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business_id=1,
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)
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_msgs, meta = prepare_messages_for_context(
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structured,
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[{"role": "user", "content": "hi"}],
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_FakeProvider(),
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budget_tokens=5000,
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)
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assert meta["static_tokens"] > 0
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assert meta["semi_static_tokens"] > 0
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assert meta["insights_tokens"] > 0
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assert meta["runtime_tokens"] > 0
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