"""
Pytest configuration and fixtures for data service tests.
"""

import pandas as pd
import sys
import os
from datetime import datetime

# Add parent directory to path for imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from app.services.data_service import DataService, DATA_PATH

# pytest is optional - only needed for pytest-based tests
try:
    import pytest

    PYTEST_AVAILABLE = True
except ImportError:
    PYTEST_AVAILABLE = False

    # Create dummy pytest.fixture decorator
    class pytest_dummy:
        @staticmethod
        def fixture(*args, **kwargs):
            def decorator(func):
                return func

            return decorator

    pytest = pytest_dummy()


@pytest.fixture(scope="session")
def data_service():
    """Create a DataService instance and load data once for all tests."""
    service = DataService()
    service.load_data()
    return service


@pytest.fixture(scope="session")
def raw_excel_df():
    """Load raw Excel data for manual verification."""
    df = pd.read_excel(DATA_PATH, sheet_name="Detail", header=2)
    return df


@pytest.fixture(scope="session")
def po_type_df():
    """Load PO Type lookup table."""
    return pd.read_excel(DATA_PATH, sheet_name="PO Type")


@pytest.fixture(scope="session")
def all_sale_orders(raw_excel_df):
    """Get list of all unique sale orders."""
    return raw_excel_df["COPS_NO"].unique().tolist()


@pytest.fixture(scope="session")
def all_articles(raw_excel_df):
    """Get list of all unique articles."""
    articles = raw_excel_df["OCDKE1"].dropna().unique().tolist() if "OCDKE1" in raw_excel_df.columns else raw_excel_df["grey_k1_from_DBPD"].dropna().unique().tolist()
    return [str(a) for a in articles]


@pytest.fixture(scope="session")
def po_type_map(po_type_df):
    """Create PO type to is_input/is_output mapping."""
    po_type_df.columns = [c.strip() for c in po_type_df.columns]
    po_type_df["is_input"] = (
        po_type_df.iloc[:, 2].astype(str).str.upper().apply(lambda x: "YES" in x)
    )
    po_type_df["is_output"] = (
        po_type_df.iloc[:, 3].astype(str).str.upper().apply(lambda x: "YES" in x)
    )
    return po_type_df.set_index(po_type_df.columns[0])[
        ["is_input", "is_output"]
    ].to_dict("index")


@pytest.fixture
def test_results():
    """Fixture to store test results for reporting."""
    return {
        "timestamp": datetime.now().isoformat(),
        "sale_orders": {"passed": 0, "failed": 0, "errors": []},
        "articles": {"passed": 0, "failed": 0, "errors": []},
        "calculations": {"passed": 0, "failed": 0, "errors": []},
        "edge_cases": {"passed": 0, "failed": 0, "errors": []},
    }


class ManualCalculator:
    """
    Manual calculation class to verify formulas against Excel logic.

    Formulas from Excel "Eg, Calculation" sheet:
    - G18: =(G14-G13)/G13     (Reserved vs PO %)
    - G19: =(G15-G13)/G13     (Gr Opening vs PO %)
    - G20: =(G15-G16)/G15     (Loss %)
    - G21: =G17/G16           (Fresh Packing %)
    - G22: =G17/G13           (Yield %)
    """

    @staticmethod
    def extra_gr_reserved_pct(reserved_qty, po_qty):
        """(Reserved - PO_Qty) / PO_Qty × 100"""
        if po_qty == 0:
            return 0.0
        return (reserved_qty - po_qty) / po_qty * 100

    @staticmethod
    def actual_gr_issue_pct(issued_qty, po_qty):
        """(Issued - PO_Qty) / PO_Qty × 100"""
        if po_qty == 0:
            return 0.0
        return (issued_qty - po_qty) / po_qty * 100

    @staticmethod
    def shrinkage_pct(issued_qty, total_packing):
        """(Issued - Total Packing) / Issued × 100"""
        if issued_qty == 0:
            return 0.0
        return (issued_qty - total_packing) / issued_qty * 100

    @staticmethod
    def fresh_pkg_pct(pack_fresh, total_packing):
        """Pack Fresh / Total Packing × 100"""
        if total_packing == 0:
            return 0.0
        return pack_fresh / total_packing * 100

    @staticmethod
    def fresh_to_order_pct(pack_fresh, order_qty):
        """Pack Fresh / Order Qty × 100"""
        if order_qty == 0:
            return 0.0
        return pack_fresh / order_qty * 100