import unittest

from retrieval_contract import validate_retrieval_configuration, validate_retrieval_metrics


class RetrievalConfigurationTests(unittest.TestCase):
    def test_phss_pool_cannot_be_smaller_than_chunk_request(self):
        issues = validate_retrieval_configuration(
            {"YAMS_VECTOR_MAX_RESULTS": "32", "YAMS_VECTOR_VEC0_PHSS_ENABLED": "1",
             "YAMS_VECTOR_VEC0_PHSS_CANDIDATES": "16"},
            {}, {"ann_candidate_budget": 16})
        self.assertTrue(any("96" in issue for issue in issues))

    def test_distinct_effective_pool_is_accepted(self):
        self.assertEqual(validate_retrieval_configuration(
            {"YAMS_VECTOR_MAX_RESULTS": "32", "YAMS_VECTOR_VEC0_PHSS_ENABLED": "1",
             "YAMS_VECTOR_VEC0_PHSS_CANDIDATES": "128"},
            {}, {"ann_candidate_budget": 128}), [])

    def test_phss_boolean_spellings_enforce_effective_pool(self):
        for enabled in ("1", "true", "TRUE", "yes", "on"):
            with self.subTest(enabled=enabled):
                self.assertTrue(validate_retrieval_configuration(
                    {"YAMS_VECTOR_MAX_RESULTS": "32", "YAMS_VECTOR_VEC0_PHSS_ENABLED": enabled,
                     "YAMS_VECTOR_VEC0_PHSS_CANDIDATES": "16"},
                    {}, {"ann_candidate_budget": 16}))

    def test_product_latency_accepts_disabled_boolean_spellings(self):
        for disabled in ("0", "false", "FALSE", "no", "off"):
            with self.subTest(disabled=disabled):
                self.assertEqual(validate_retrieval_configuration(
                    {"YAMS_SEARCH_STAGE_TRACE": disabled}, {"latency_mode": "product"}, {}), [])

    def test_aggregation_matches_runtime_case_rules(self):
        for aggregation, budget in (("max", 32), ("MAX", 32), ("Max", 96)):
            with self.subTest(aggregation=aggregation):
                self.assertEqual(validate_retrieval_configuration(
                    {"YAMS_VECTOR_MAX_RESULTS": "32", "YAMS_VECTOR_VEC0_PHSS_ENABLED": "1",
                     "YAMS_SEARCH_CHUNK_AGGREGATION": aggregation,
                     "YAMS_VECTOR_VEC0_PHSS_CANDIDATES": "16"},
                    {}, {"ann_candidate_budget": budget}), [])

    def test_candidate_multiplier_precedes_explicit_vector_override(self):
        env = {"YAMS_VECTOR_VEC0_PHSS_ENABLED": "1", "YAMS_CANDIDATE_MULTIPLIER": "2.0"}
        self.assertEqual(validate_retrieval_configuration(env, {}, {"ann_candidate_budget": 900}), [])
        env["YAMS_VECTOR_MAX_RESULTS"] = "32"
        self.assertEqual(validate_retrieval_configuration(env, {}, {"ann_candidate_budget": 96}), [])

    def test_invalid_configuration_returns_issues_not_exceptions(self):
        for key in ("YAMS_VECTOR_MAX_RESULTS", "YAMS_VECTOR_VEC0_PHSS_CANDIDATES",
                    "YAMS_CANDIDATE_MULTIPLIER"):
            for value in ("invalid", None, "NaN", "-1"):
                with self.subTest(key=key, value=value):
                    self.assertTrue(validate_retrieval_configuration(
                        {"YAMS_VECTOR_VEC0_PHSS_ENABLED": "1", key: value},
                        {}, {"ann_candidate_budget": 450}))
        self.assertTrue(validate_retrieval_configuration(
            {"YAMS_VECTOR_VEC0_PHSS_ENABLED": "1"}, {}, {"ann_candidate_budget": None}))

    def test_invalid_metrics_return_issues_not_exceptions(self):
        for value in (None, "invalid", {}, [], float("inf")):
            with self.subTest(value=value):
                self.assertTrue(validate_retrieval_metrics(
                    {"topology_shadow_evaluation_rate": value}, {"require_shadow_evaluation": True}))
                self.assertTrue(validate_retrieval_metrics(
                    {"topology_candidate_rescue_exact_distance_evaluations_sum": value},
                    {"require_exact_shadow_control": True}))

    def test_vec0_cannot_validate_fast_narrowing(self):
        issues = validate_retrieval_configuration(
            {"YAMS_VECTOR_SEARCH_ENGINE": "vec0"},
            {"require_narrowing": True}, {})
        self.assertTrue(any("simeon_pq_adc" in issue for issue in issues))

    def test_narrowing_requires_bound_calibration(self):
        issues = validate_retrieval_configuration(
            {}, {"vector_search_engine": "simeon_pq_adc", "require_narrowing": True}, {})
        self.assertTrue(any("calibration" in issue for issue in issues))

    def test_artifact_name_alone_cannot_enable_unimplemented_calibration_loading(self):
        issues = validate_retrieval_configuration(
            {}, {"vector_search_engine": "simeon_pq_adc", "require_narrowing": True,
                 "route_calibration_artifact": "claimed-calibration.json"}, {})
        self.assertTrue(any("calibration" in issue for issue in issues))

    def test_product_latency_rejects_trace_work(self):
        self.assertTrue(validate_retrieval_configuration(
            {"YAMS_SEARCH_STAGE_TRACE": "1"}, {"latency_mode": "product"}, {}))

    def test_product_latency_must_explicitly_disable_worker_trace_default(self):
        self.assertTrue(validate_retrieval_configuration({}, {"latency_mode": "product"}, {}))

    def test_shadow_cost_requires_actual_shadow_work(self):
        for rate in (0, float("nan"), 2):
            self.assertTrue(validate_retrieval_metrics(
                {"topology_shadow_evaluation_rate": rate}, {"require_shadow_evaluation": True}))
        self.assertEqual(validate_retrieval_metrics(
            {"topology_shadow_evaluation_rate": 0.5,
             "topology_candidate_rescue_attempt_rate": 0.5,
             "topology_route_work_observation_rate": 0.5},
            {"require_shadow_evaluation": True}), [])

    def test_load_attempt_is_not_routed_work_or_exact_control(self):
        self.assertTrue(validate_retrieval_metrics(
            {"topology_shadow_evaluation_rate": 1.0}, {"require_shadow_evaluation": True}))
        self.assertTrue(validate_retrieval_metrics({}, {"require_exact_shadow_control": True}))
        self.assertEqual(validate_retrieval_metrics(
            {"topology_candidate_rescue_exact_distance_evaluations_sum": 34},
            {"require_exact_shadow_control": True}), [])


if __name__ == "__main__":
    unittest.main()