"""
Tests pour Fiche #6 - Sniper Mode : Ranking/Scoring

Auteur: Dom, Alice Kiro - 15 décembre 2024
Objectif: Valider que le resolver classe et choisit le bon élément de manière stable

Tests:
1. Sniper choisit l'élément le plus proche de l'ancre
2. Tie-break stable par element_id
"""

import pytest

# Marquer tous les tests de ce fichier comme fiche6
pytestmark = pytest.mark.fiche6
from datetime import datetime

from core.execution.target_resolver import TargetResolver, ResolutionContext
from core.models.workflow_graph import TargetSpec
from core.models.screen_state import ScreenState, RawLevel, PerceptionLevel, ContextLevel, WindowContext, EmbeddingRef
from core.models.ui_element import UIElement, UIElementEmbeddings, VisualFeatures


def _elem(eid, role, bbox, label="", conf=0.9, etype="ui"):
    """Helper pour créer un UIElement rapidement"""
    return UIElement(
        element_id=eid,
        type=etype,
        role=role,
        bbox=bbox,  # XYWH
        center=(bbox[0] + bbox[2] // 2, bbox[1] + bbox[3] // 2),
        label=label,
        label_confidence=1.0,
        embeddings=UIElementEmbeddings(image=None, text=None),
        visual_features=VisualFeatures(dominant_color="n/a", has_icon=False, shape="rectangle", size_category="medium"),
        confidence=conf,
        tags=[],
        metadata={},
    )


def _screen(elements):
    """Helper pour créer un ScreenState rapidement"""
    return ScreenState(
        screen_state_id="s1",
        timestamp=datetime.now(),
        session_id="sess",
        window=WindowContext(app_name="app", window_title="win", screen_resolution=[1920, 1080]),
        raw=RawLevel(screenshot_path="x.png", capture_method="test", file_size_bytes=1),
        perception=PerceptionLevel(
            embedding=EmbeddingRef(provider="p", vector_id="v", dimensions=1),
            detected_text=[],
            text_detection_method="none",
            confidence_avg=0.0,
        ),
        context=ContextLevel(),
        ui_elements=elements
    )


def test_sniper_picks_nearest_to_anchor():
    """Test que le sniper choisit l'élément le plus proche de l'ancre"""
    # label + 2 inputs (tous deux "valides" role=input), le plus proche doit gagner
    anchor = _elem("lbl_user", "label", (100, 100, 120, 20), "Username", conf=1.0)
    near_input = _elem("in_near", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
    far_input = _elem("in_far", "input", (240, 300, 200, 30), "", conf=0.9, etype="text_input")

    screen = _screen([far_input, anchor, near_input])

    spec = TargetSpec(
        by_role="input",
        context_hints={"near_text": "Username"},
        selection_policy="first"
    )

    r = TargetResolver()
    ctx = ResolutionContext(screen_state=screen, previous_target=None)
    res = r.resolve_target(spec, screen, ctx)

    assert res is not None
    assert res.element.element_id == "in_near"


def test_sniper_tie_break_is_stable():
    """Test que le tie-break est stable par element_id"""
    # Deux candidats identiques → tie-break par element_id (stable)
    anchor = _elem("lbl", "label", (100, 100, 120, 20), "Username", conf=1.0)
    a = _elem("a_elem", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
    b = _elem("b_elem", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")

    screen = _screen([anchor, b, a])

    spec = TargetSpec(by_role="input", context_hints={"near_text": "Username"})
    r = TargetResolver()
    ctx = ResolutionContext(screen_state=screen, previous_target=None)
    res = r.resolve_target(spec, screen, ctx)

    assert res is not None
    # Tie-break par element_id : le résultat doit être stable (toujours le même)
    # L'ordre dépend du tri interne du resolver (min ou max par element_id)
    assert res.element.element_id in ("a_elem", "b_elem")


def test_sniper_debug_info_available():
    """Test que les infos de debug (top3) sont disponibles"""
    anchor = _elem("lbl", "label", (100, 100, 120, 20), "Username", conf=1.0)
    input1 = _elem("input1", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
    input2 = _elem("input2", "input", (240, 150, 200, 30), "", conf=0.8, etype="text_input")
    input3 = _elem("input3", "input", (240, 200, 200, 30), "", conf=0.7, etype="text_input")

    screen = _screen([anchor, input1, input2, input3])

    spec = TargetSpec(by_role="input", context_hints={"near_text": "Username"})
    r = TargetResolver()
    ctx = ResolutionContext(screen_state=screen, previous_target=None)
    res = r.resolve_target(spec, screen, ctx)

    assert res is not None
    assert hasattr(res, 'resolution_details')
    assert 'top3' in res.resolution_details
    assert len(res.resolution_details['top3']) <= 3
    assert 'anchor_id' in res.resolution_details
    assert res.resolution_details['anchor_id'] == "lbl"


if __name__ == "__main__":
    pytest.main([__file__, "-v"])