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import unittest

import numpy as np

from quread.def_translator import DEFGridConfig, build_def_blockages_from_severity_rows, to_def_blockages_fragment
from quread.eda_translator import build_eda_mapping_from_severity_rows, to_cadence_skill_reliability, to_synopsys_tcl
from quread.package_exporter import build_companion_lef, build_companion_lib
from quread.severity_mapper import SeverityConfig, SeverityThresholds, compute_severity_rows, severity_rows_to_csv
from quread.metrics import to_metrics_csv
from quread.validation_workbench import (
    build_validation_report_html,
    validate_design_exports,
    validation_artifact_summary_rows,
    validation_focus_rows,
)


def _sample_metrics():
    return {
        "activity_count": np.array([10.0, 2.0], dtype=float),
        "activity_norm": np.array([1.0, 0.2], dtype=float),
        "gate_error": np.array([0.12, 0.01], dtype=float),
        "readout_error": np.array([0.08, 0.02], dtype=float),
        "fidelity": np.array([0.82, 0.99], dtype=float),
        "state_fidelity": np.array([0.80, 0.99], dtype=float),
        "process_fidelity": np.array([0.78, 0.98], dtype=float),
        "coherence_health": np.array([0.30, 0.90], dtype=float),
        "decoherence_risk": np.array([0.70, 0.10], dtype=float),
        "composite_risk": np.array([0.82, 0.22], dtype=float),
        "hotspot_level": np.array([2.0, 0.0], dtype=float),
    }


class ValidationWorkbenchTest(unittest.TestCase):
    def _build_case(self):
        metrics = _sample_metrics()
        severity_cfg = SeverityConfig(
            mode="linear",
            source_metric="composite_risk",
            thresholds=SeverityThresholds(warning=0.45, critical=0.70),
        )
        severity_rows = compute_severity_rows(metrics, cfg=severity_cfg, qubit_coords={0: (0, 0), 1: (0, 1)})
        mapping_rows = build_eda_mapping_from_severity_rows(metrics, severity_rows)
        grid_cfg = DEFGridConfig(
            origin_x_dbu=0,
            origin_y_dbu=0,
            site_width_dbu=100,
            row_height_dbu=100,
            sites_per_cell_x=10,
            rows_per_cell_y=10,
        )
        blockage_rows = build_def_blockages_from_severity_rows(severity_rows, grid_cfg=grid_cfg, partial_density=70.0)
        return {
            "metrics": metrics,
            "severity_cfg": severity_cfg,
            "severity_rows": severity_rows,
            "mapping_rows": mapping_rows,
            "grid_cfg": grid_cfg,
            "blockage_rows": blockage_rows,
            "metrics_csv_text": to_metrics_csv(metrics),
            "severity_csv_text": severity_rows_to_csv(severity_rows),
            "synopsys_tcl_text": to_synopsys_tcl(mapping_rows),
            "cadence_skill_text": to_cadence_skill_reliability(mapping_rows),
            "def_fragment_text": to_def_blockages_fragment(blockage_rows),
            "companion_lef_text": build_companion_lef(
                severity_rows,
                dbu_per_micron=1000,
                site_name="QUREAD_SITE",
                site_width_dbu=100,
                row_height_dbu=100,
                sites_per_cell_x=10,
                rows_per_cell_y=10,
            ),
            "companion_lib_text": build_companion_lib(
                severity_rows,
                dbu_per_micron=1000,
                site_width_dbu=100,
                row_height_dbu=100,
                sites_per_cell_x=10,
                rows_per_cell_y=10,
            ),
            "design_def_text": "UNITS DISTANCE MICRONS 1000 ;\nDIEAREA ( 0 0 ) ( 2000 2000 ) ;\n",
        }

    def test_validate_design_exports_passes_for_consistent_artifacts(self):
        case = self._build_case()
        report = validate_design_exports(
            metrics_csv_text=case["metrics_csv_text"],
            severity_csv_text=case["severity_csv_text"],
            synopsys_tcl_text=case["synopsys_tcl_text"],
            cadence_skill_text=case["cadence_skill_text"],
            def_fragment_text=case["def_fragment_text"],
            companion_lef_text=case["companion_lef_text"],
            companion_lib_text=case["companion_lib_text"],
            expected_metrics=case["metrics"],
            expected_severity_rows=case["severity_rows"],
            expected_mapping_rows=case["mapping_rows"],
            expected_blockage_rows=case["blockage_rows"],
            severity_cfg=case["severity_cfg"],
            grid_cfg=case["grid_cfg"],
            chip_rows=2,
            chip_cols=2,
            dbu_per_micron=1000,
            site_name="QUREAD_SITE",
            imported_design_def_text=case["design_def_text"],
        )
        self.assertEqual(report["summary"]["overall_status"], "PASS")
        self.assertGreater(report["summary"]["pass_count"], 0)

    def test_validate_design_exports_fails_for_misaligned_def(self):
        case = self._build_case()
        broken_def = case["def_fragment_text"].replace("RECT ( 0 0 ) ( 1000 1000 ) ;", "RECT ( 5 0 ) ( 1000 1000 ) ;")
        report = validate_design_exports(
            metrics_csv_text=case["metrics_csv_text"],
            severity_csv_text=case["severity_csv_text"],
            synopsys_tcl_text=case["synopsys_tcl_text"],
            cadence_skill_text=case["cadence_skill_text"],
            def_fragment_text=broken_def,
            companion_lef_text=case["companion_lef_text"],
            companion_lib_text=case["companion_lib_text"],
            expected_metrics=case["metrics"],
            expected_severity_rows=case["severity_rows"],
            expected_mapping_rows=case["mapping_rows"],
            expected_blockage_rows=case["blockage_rows"],
            severity_cfg=case["severity_cfg"],
            grid_cfg=case["grid_cfg"],
            chip_rows=2,
            chip_cols=2,
            dbu_per_micron=1000,
            site_name="QUREAD_SITE",
            imported_design_def_text=case["design_def_text"],
        )
        self.assertEqual(report["summary"]["overall_status"], "FAIL")
        self.assertTrue(any(check["code"] == "def_alignment" and check["status"] == "FAIL" for check in report["checks"]))
        focus_rows = validation_focus_rows(report)
        self.assertGreaterEqual(len(focus_rows), 1)
        self.assertIn("q0", focus_rows[0][3])
        artifact_rows = validation_artifact_summary_rows(report)
        self.assertTrue(any(row[0] == "def" and row[4] == "FAIL" for row in artifact_rows))
        html = build_validation_report_html(report)
        self.assertIn("Artifact Summary", html)
        self.assertIn("Mismatch Focus", html)