import importlib.util
from pathlib import Path

import sqlalchemy as sa


def _load_migration_module():
    path = (
        Path(__file__).resolve().parents[1]
        / "alembic"
        / "versions"
        / "20260326_create_feedback_center_tables.py"
    )
    spec = importlib.util.spec_from_file_location("feedback_center_migration", path)
    module = importlib.util.module_from_spec(spec)
    assert spec is not None
    assert spec.loader is not None
    spec.loader.exec_module(module)
    return module


def _feedback_center_records_table(metadata: sa.MetaData) -> sa.Table:
    return sa.Table(
        "feedback_center_records",
        metadata,
        sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
        sa.Column("tenant_id", sa.BigInteger(), nullable=False),
        sa.Column("project_id", sa.BigInteger(), nullable=True),
        sa.Column("source_type", sa.VARCHAR(length=32), nullable=False),
        sa.Column("source_id", sa.BigInteger(), nullable=False),
        sa.Column("object_type", sa.VARCHAR(length=32), nullable=False),
        sa.Column("object_id", sa.BigInteger(), nullable=False),
        sa.Column("field_name", sa.VARCHAR(length=128), nullable=False),
        sa.Column("before_value", sa.JSON(), nullable=True),
        sa.Column("after_value", sa.JSON(), nullable=True),
        sa.Column("ai_snapshot", sa.JSON(), nullable=True),
        sa.Column("ai_confidence", sa.Float(), nullable=True),
        sa.Column("reason_candidates", sa.JSON(), nullable=True),
        sa.Column("reason_code", sa.VARCHAR(length=64), nullable=True),
        sa.Column("reason_text", sa.Text(), nullable=True),
        sa.Column("review_status", sa.VARCHAR(length=16), nullable=False),
        sa.Column("reviewed_by", sa.BigInteger(), nullable=True),
        sa.Column("reviewed_at", sa.TIMESTAMP(), nullable=True),
        sa.Column("source_title", sa.VARCHAR(length=500), nullable=True),
        sa.Column("object_title", sa.VARCHAR(length=500), nullable=True),
        sa.Column("auto_assigned", sa.Boolean(), nullable=False),
    )


def test_insert_record_accepts_json_payloads_for_feedback_center_backfill() -> None:
    migration = _load_migration_module()
    metadata = sa.MetaData()
    table = _feedback_center_records_table(metadata)
    engine = sa.create_engine("sqlite:///:memory:")
    metadata.create_all(engine)

    payload = {
        "tenant_id": 1,
        "project_id": None,
        "source_type": "qa_feedback",
        "source_id": 118,
        "object_type": "qa_record",
        "object_id": 230,
        "field_name": "qa_feedback",
        "before_value": {"answer": "stub answer"},
        "after_value": {"rating": "positive", "helpfulness": "fully"},
        "ai_snapshot": {"question": "what happened", "answer": "stub answer"},
        "ai_confidence": None,
        "reason_candidates": [
            {
                "code": "answer_incorrect",
                "label": "答案不准确",
                "description": "AI 输出与业务事实不一致",
            }
        ],
        "reason_code": "answer_incorrect",
        "reason_text": None,
        "review_status": "reviewed",
        "reviewed_by": 2,
        "reviewed_at": None,
        "source_title": "what happened",
        "object_title": "what happened",
        "auto_assigned": False,
    }

    with engine.begin() as conn:
        migration._insert_record(conn, payload)
        row = conn.execute(
            sa.select(
                table.c.before_value,
                table.c.after_value,
                table.c.ai_snapshot,
                table.c.reason_candidates,
            )
        ).mappings().one()

    assert row["before_value"] == payload["before_value"]
    assert row["after_value"] == payload["after_value"]
    assert row["ai_snapshot"] == payload["ai_snapshot"]
    assert row["reason_candidates"] == payload["reason_candidates"]