"""Helper function to parse rows into cleaner data that can be inserted into
the destination database"""

import logging
from typing import TypedDict, Dict, Optional, List

from helpers.parse_xml import parse_raw_specs
from helpers.materials import parse_materials
from helpers.origin import clean_origin_name
from helpers.dimensions import parse_dimensions
from helpers.weight import parse_weight, dimensional_weight


class CleanRow(TypedDict):
    """Type to represent clean rows to be inserted in the database"""

    gtin13: str
    tcin: str
    primary_category: str
    materials: Optional[List[str]]
    packaging: int
    origin: str
    height: Optional[float]
    depth: Optional[float]
    width: Optional[float]
    weight: Optional[float]


def parse_row(element: Dict[str, str]) -> Optional[CleanRow]:
    """Parse a dictionary representing a row for the CSV input into a cleaner
    dictionary representing a row to be inserted in the database"""

    # gtin13 should always be there
    try:
        gtin13 = element["gtin13"]
    except KeyError:
        logging.error("gtin13 missing")
        return None

    # primary category should always be there
    try:
        primary_category = element["primary_category"]
    except KeyError:
        logging.error("primary_category missing")
        return None

    specifications = parse_raw_specs(element["raw_specifications"])
    if specifications is None:
        logging.error("could not parse raw_specifications")
        return None

    # TCIN should be a mandatory field
    try:
        tcin = specifications["tcin"]
    except KeyError:
        logging.error("TCIN missing")
        return None

    materials = parse_materials(specifications.get("materials"))

    # if packaging is not specified, assume only one unit is found in the
    # package
    packaging = specifications.get("packaging", 1)
    try:
        packaging = int(packaging)
    except ValueError:
        logging.error("could not cast packaging %s into an integer")
        packaging = 1

    origin = clean_origin_name(specifications.get("origin"))

    dimensions = parse_dimensions(specifications.get("dimensions"))
    height = dimensions["height"]
    width = dimensions["width"]
    depth = dimensions["depth"]

    weight = parse_weight(specifications.get("weight"))
    if weight is None:
        weight = dimensional_weight(height=height, width=weight, depth=depth)

    return {
        "gtin13": gtin13,
        "tcin": tcin,
        "primary_category": primary_category,
        "materials": materials,
        "packaging": packaging,
        "origin": origin,
        "height": height,
        "width": width,
        "depth": depth,
        "weight": weight,
    }