"""
Deep behavioral tests for search_integration.py.
Tests NewsSearchCallback, quality calculation, search wrapper,
and tracking logic patterns.
"""

import uuid
from datetime import datetime, timezone


# --- Quality calculation ---


class TestQualityCalculation:
    """Tests for _calculate_quality heuristic."""

    def _calc_quality(self, result):
        findings = result.get("findings", [])
        if not findings:
            return 0.0
        count_score = min(len(findings) / 10, 1.0)
        has_content = any(f.get("content") for f in findings[:5])
        content_score = 1.0 if has_content else 0.5
        return (count_score + content_score) / 2

    def test_no_findings(self):
        assert self._calc_quality({}) == 0.0

    def test_empty_findings(self):
        assert self._calc_quality({"findings": []}) == 0.0

    def test_one_finding_no_content(self):
        result = {"findings": [{"title": "A"}]}
        score = self._calc_quality(result)
        # count_score = 1/10 = 0.1, content_score = 0.5
        assert score == (0.1 + 0.5) / 2

    def test_one_finding_with_content(self):
        result = {"findings": [{"content": "Full text"}]}
        score = self._calc_quality(result)
        # count_score = 0.1, content_score = 1.0
        assert score == (0.1 + 1.0) / 2

    def test_ten_findings_max_count_score(self):
        result = {"findings": [{"title": f"F{i}"} for i in range(10)]}
        score = self._calc_quality(result)
        # count_score = 10/10 = 1.0, content_score = 0.5 (no content)
        assert score == (1.0 + 0.5) / 2

    def test_more_than_ten_capped(self):
        result = {"findings": [{"title": f"F{i}"} for i in range(20)]}
        score = self._calc_quality(result)
        # count_score = min(20/10, 1.0) = 1.0
        assert score == (1.0 + 0.5) / 2

    def test_content_check_only_first_5(self):
        findings = [{"title": f"F{i}"} for i in range(10)]
        findings[7]["content"] = "Late content"  # After index 5
        result = {"findings": findings}
        score = self._calc_quality(result)
        # Only checks first 5 - no content found in first 5
        assert score == (1.0 + 0.5) / 2

    def test_content_in_first_5(self):
        findings = [{"title": f"F{i}"} for i in range(10)]
        findings[3]["content"] = "Has content"
        result = {"findings": findings}
        score = self._calc_quality(result)
        assert score == (1.0 + 1.0) / 2

    def test_five_findings_with_content(self):
        result = {"findings": [{"content": "text"} for _ in range(5)]}
        score = self._calc_quality(result)
        # count_score = 5/10 = 0.5, content_score = 1.0
        assert score == (0.5 + 1.0) / 2

    def test_max_quality(self):
        result = {"findings": [{"content": "text"} for _ in range(10)]}
        score = self._calc_quality(result)
        assert score == 1.0


# --- Tracking enabled logic ---


class TestTrackingEnabled:
    """Tests for tracking_enabled property logic."""

    def test_default_is_false(self):
        enabled = None
        if enabled is None:
            enabled = False
        assert enabled is False

    def test_cached_after_first_check(self):
        enabled = None
        # First check
        if enabled is None:
            enabled = False
        # Second check uses cached
        assert enabled is False

    def test_can_be_set_true(self):
        enabled = True
        assert enabled is True


# --- Search context building ---


class TestSearchContextBuilding:
    """Tests for search wrapper context construction."""

    def _build_context(
        self, is_user_search=True, is_news_search=False, user_id="anonymous"
    ):
        search_id = str(uuid.uuid4())
        return {
            "is_user_search": is_user_search and not is_news_search,
            "is_news_search": is_news_search,
            "user_id": user_id,
            "search_id": search_id,
            "timestamp": datetime.now(timezone.utc),
        }

    def test_user_search_default(self):
        ctx = self._build_context()
        assert ctx["is_user_search"] is True
        assert ctx["is_news_search"] is False

    def test_news_search_overrides_user(self):
        ctx = self._build_context(is_user_search=True, is_news_search=True)
        assert ctx["is_user_search"] is False
        assert ctx["is_news_search"] is True

    def test_not_user_search(self):
        ctx = self._build_context(is_user_search=False)
        assert ctx["is_user_search"] is False

    def test_user_id_preserved(self):
        ctx = self._build_context(user_id="user42")
        assert ctx["user_id"] == "user42"

    def test_default_anonymous_user(self):
        ctx = self._build_context()
        assert ctx["user_id"] == "anonymous"

    def test_has_search_id(self):
        ctx = self._build_context()
        assert "search_id" in ctx
        assert len(ctx["search_id"]) > 0

    def test_has_timestamp(self):
        ctx = self._build_context()
        assert isinstance(ctx["timestamp"], datetime)

    def test_unique_search_ids(self):
        ctx1 = self._build_context()
        ctx2 = self._build_context()
        assert ctx1["search_id"] != ctx2["search_id"]


# --- Callback invocation logic ---


class TestCallbackInvocation:
    """Tests for callback __call__ logic patterns."""

    def _should_track(self, context, tracking_enabled):
        is_user_search = context.get("is_user_search", True)
        return is_user_search and tracking_enabled

    def test_tracks_when_user_search_and_enabled(self):
        ctx = {"is_user_search": True}
        assert self._should_track(ctx, True) is True

    def test_no_track_when_disabled(self):
        ctx = {"is_user_search": True}
        assert self._should_track(ctx, False) is False

    def test_no_track_when_not_user_search(self):
        ctx = {"is_user_search": False}
        assert self._should_track(ctx, True) is False

    def test_no_track_both_false(self):
        ctx = {"is_user_search": False}
        assert self._should_track(ctx, False) is False

    def test_default_is_user_search_true(self):
        ctx = {}
        assert self._should_track(ctx, True) is True


# --- Context extraction defaults ---


class TestContextExtractionDefaults:
    """Tests for context dict default extraction."""

    def _extract(self, context):
        context = context or {}
        return {
            "is_user_search": context.get("is_user_search", True),
            "user_id": context.get("user_id", "anonymous"),
            "search_id": context.get("search_id", str(uuid.uuid4())),
        }

    def test_none_context(self):
        result = self._extract(None)
        assert result["is_user_search"] is True
        assert result["user_id"] == "anonymous"

    def test_empty_context(self):
        result = self._extract({})
        assert result["is_user_search"] is True
        assert result["user_id"] == "anonymous"

    def test_provided_values(self):
        ctx = {"is_user_search": False, "user_id": "u1", "search_id": "s1"}
        result = self._extract(ctx)
        assert result["is_user_search"] is False
        assert result["user_id"] == "u1"
        assert result["search_id"] == "s1"

    def test_partial_context(self):
        result = self._extract({"user_id": "u1"})
        assert result["is_user_search"] is True
        assert result["user_id"] == "u1"


# --- Wrapper metadata preservation ---


class TestWrapperMetadataPreservation:
    """Tests for search wrapper metadata preservation patterns."""

    def test_preserves_function_name(self):
        def original_search(self, query, **kwargs):
            """Original docstring."""
            pass

        # Simulate wrapper
        def wrapped(self, query, **kwargs):
            pass

        wrapped.__name__ = original_search.__name__
        wrapped.__doc__ = original_search.__doc__

        assert wrapped.__name__ == "original_search"
        assert wrapped.__doc__ == "Original docstring."

    def test_preserves_none_doc(self):
        def original():
            pass

        def wrapper():
            return None

        original.__doc__ = None
        wrapper.__name__ = original.__name__
        wrapper.__doc__ = original.__doc__
        assert wrapper.__doc__ is None


# --- Kwargs extraction in wrapper ---


class TestKwargsExtraction:
    """Tests for kwargs popping in wrapper."""

    def test_pop_removes_key(self):
        kwargs = {"is_user_search": True, "mode": "quick"}
        is_user = kwargs.pop("is_user_search", True)
        assert is_user is True
        assert "is_user_search" not in kwargs

    def test_pop_default_when_missing(self):
        kwargs = {"mode": "quick"}
        is_user = kwargs.pop("is_user_search", True)
        assert is_user is True

    def test_pop_is_news_search(self):
        kwargs = {"is_news_search": True}
        is_news = kwargs.pop("is_news_search", False)
        assert is_news is True

    def test_pop_user_id(self):
        kwargs = {"user_id": "u42"}
        uid = kwargs.pop("user_id", "anonymous")
        assert uid == "u42"

    def test_remaining_kwargs_passed_through(self):
        kwargs = {
            "is_user_search": True,
            "is_news_search": False,
            "user_id": "u1",
            "mode": "quick",
            "depth": 3,
        }
        kwargs.pop("is_user_search", True)
        kwargs.pop("is_news_search", False)
        kwargs.pop("user_id", "anonymous")
        assert kwargs == {"mode": "quick", "depth": 3}
