#!/usr/bin/env python3
"""
DEPRECATED NAME (kept for backward compatibility).

The input `products_data/*.xlsx` files are **Amazon-format exports** (with Parent/Child ASIN),
not “competitor data”. Please use:

  - `scripts/amazon_xlsx_to_shoplazza_xlsx.py`

This script keeps the same logic but updates user-facing naming gradually.
"""

import os
import re
import sys
import argparse
from datetime import datetime
from collections import defaultdict, Counter
from pathlib import Path

from openpyxl import load_workbook

# Allow running as `python scripts/xxx.py` without installing as a package
sys.path.insert(0, str(Path(__file__).resolve().parent))
from shoplazza_excel_template import create_excel_from_template


PREFERRED_OPTION_KEYS = [
    "Size", "Color", "Style", "Pattern", "Material", "Flavor", "Scent",
    "Pack", "Pack of", "Number of Items", "Count", "Capacity", "Length",
    "Width", "Height", "Model", "Configuration",
]


def clean_str(v):
    if v is None:
        return ""
    return str(v).strip()


def html_escape(s):
    s = clean_str(s)
    return (s.replace("&", "&")
             .replace("<", "&lt;")
             .replace(">", "&gt;"))


def generate_handle(title):
    """
    Generate URL-friendly handle from title (ASCII only).
    Keep consistent with existing scripts.
    """
    handle = clean_str(title).lower()
    handle = re.sub(r"[^a-z0-9\\s-]", "", handle)
    handle = re.sub(r"[-\\s]+", "-", handle).strip("-")
    if len(handle) > 255:
        handle = handle[:255]
    return handle or "product"


def parse_date_to_template(dt_value):
    """
    Template expects: YYYY-MM-DD HH:MM:SS
    Input could be "2018-05-09" or datetime/date.
    """
    if dt_value is None or dt_value == "":
        return ""
    if isinstance(dt_value, datetime):
        return dt_value.strftime("%Y-%m-%d %H:%M:%S")
    s = clean_str(dt_value)
    # common formats
    for fmt in ("%Y-%m-%d", "%Y/%m/%d", "%Y-%m-%d %H:%M:%S", "%Y/%m/%d %H:%M:%S"):
        try:
            d = datetime.strptime(s, fmt)
            return d.strftime("%Y-%m-%d %H:%M:%S")
        except Exception:
            pass
    return ""


def parse_weight(weight_conv, weight_raw):
    """
    Return (weight_value, unit) where unit in {kg, lb, g, oz}.
    Prefer '商品重量（单位换算）' like '68.04 g'.
    Fallback to '商品重量' like '0.15 pounds'.
    """
    s = clean_str(weight_conv) or clean_str(weight_raw)
    if not s:
        return ("", "")
    m = re.search(r"([0-9]+(?:\\.[0-9]+)?)\\s*([a-zA-Z]+)", s)
    if not m:
        return ("", "")
    val = float(m.group(1))
    unit = m.group(2).lower()
    if unit in ("g", "gram", "grams"):
        return (val, "g")
    if unit in ("kg", "kilogram", "kilograms"):
        return (val, "kg")
    if unit in ("lb", "lbs", "pound", "pounds"):
        return (val, "lb")
    if unit in ("oz", "ounce", "ounces"):
        return (val, "oz")
    return ("", "")


def parse_dimensions_inches(dim_raw):
    """
    Template '尺寸信息': 'L,W,H' in inches.
    Input example: '7.9 x 7.9 x 2 inches'
    """
    s = clean_str(dim_raw)
    if not s:
        return ""
    # extract first 3 numbers in order
    nums = re.findall(r"([0-9]+(?:\\.[0-9]+)?)", s)
    if len(nums) < 3:
        return ""
    return "{},{},{}".format(nums[0], nums[1], nums[2])


def parse_sku_options(sku_text):
    """
    Parse 'SKU' column into {key: value}.
    Example:
      'Size: One Size | Color: Black' -> {'Size':'One Size','Color':'Black'}
    """
    s = clean_str(sku_text)
    if not s:
        return {}
    parts = [p.strip() for p in s.split("|") if p.strip()]
    out = {}
    for p in parts:
        if ":" not in p:
            continue
        k, v = p.split(":", 1)
        k = clean_str(k)
        v = clean_str(v)
        if k and v:
            out[k] = v
    return out


def choose_option_keys(variant_dicts, max_keys=3):
    """
    Choose up to 3 option keys for a product group.
    Order by preference list first, then by frequency.
    """
    freq = Counter()
    for d in variant_dicts:
        for k, v in d.items():
            if v:
                freq[k] += 1
    if not freq:
        return []

    preferred_rank = {k: i for i, k in enumerate(PREFERRED_OPTION_KEYS)}

    def key_sort(k):
        return (preferred_rank.get(k, 10 ** 6), -freq[k], k.lower())

    keys = sorted(freq.keys(), key=key_sort)
    return keys[:max_keys]


def build_description_html(title, details, product_url):
    parts = []
    if title:
        parts.append("<p>{}</p>".format(html_escape(title)))
    detail_items = [x.strip() for x in clean_str(details).split("|") if x.strip()]
    if detail_items:
        li = "".join(["<li>{}</li>".format(html_escape(x)) for x in detail_items[:30]])
        parts.append("<ul>{}</ul>".format(li))
    if product_url:
        parts.append('<p>Source: <a href="{0}">{0}</a></p>'.format(html_escape(product_url)))
    return "".join(parts)


def competitor_sheet(ws):
    """
    Build (header->col_index) for competitor sheet.
    Assumes header is row 1.
    """
    headers = []
    for c in range(1, ws.max_column + 1):
        v = ws.cell(1, c).value
        headers.append(clean_str(v))
    idx = {h: i + 1 for i, h in enumerate(headers) if h}
    return idx


def read_competitor_rows_from_file(xlsx_path, max_rows=None):
    wb = load_workbook(xlsx_path, read_only=True, data_only=True)
    # pick first non-Notes sheet
    sheet_name = None
    for name in wb.sheetnames:
        if str(name).lower() == "notes":
            continue
        sheet_name = name
        break
    if sheet_name is None:
        return []
    ws = wb[sheet_name]
    idx = competitor_sheet(ws)

    required = ["ASIN", "父ASIN", "商品标题", "商品主图", "SKU", "详细参数", "价格($)", "prime价格($)",
                "上架时间", "类目路径", "大类目", "小类目", "品牌", "品牌链接", "商品详情页链接",
                "商品重量（单位换算）", "商品重量", "商品尺寸"]
    for k in required:
        if k not in idx:
            raise RuntimeError("Missing column '{}' in {} sheet {}".format(k, xlsx_path, sheet_name))

    rows = []
    end_row = ws.max_row
    if max_rows is not None:
        end_row = min(end_row, 1 + int(max_rows))

    for r in range(2, end_row + 1):
        asin = clean_str(ws.cell(r, idx["ASIN"]).value)
        if not asin:
            continue
        parent = clean_str(ws.cell(r, idx["父ASIN"]).value) or asin
        row = {
            "ASIN": asin,
            "父ASIN": parent,
            "SKU": clean_str(ws.cell(r, idx["SKU"]).value),
            "详细参数": clean_str(ws.cell(r, idx["详细参数"]).value),
            "商品标题": clean_str(ws.cell(r, idx["商品标题"]).value),
            "商品主图": clean_str(ws.cell(r, idx["商品主图"]).value),
            "价格($)": ws.cell(r, idx["价格($)"]).value,
            "prime价格($)": ws.cell(r, idx["prime价格($)"]).value,
            "上架时间": clean_str(ws.cell(r, idx["上架时间"]).value),
            "类目路径": clean_str(ws.cell(r, idx["类目路径"]).value),
            "大类目": clean_str(ws.cell(r, idx["大类目"]).value),
            "小类目": clean_str(ws.cell(r, idx["小类目"]).value),
            "品牌": clean_str(ws.cell(r, idx["品牌"]).value),
            "品牌链接": clean_str(ws.cell(r, idx["品牌链接"]).value),
            "商品详情页链接": clean_str(ws.cell(r, idx["商品详情页链接"]).value),
            "商品重量（单位换算）": clean_str(ws.cell(r, idx["商品重量（单位换算）"]).value),
            "商品重量": clean_str(ws.cell(r, idx["商品重量"]).value),
            "商品尺寸": clean_str(ws.cell(r, idx["商品尺寸"]).value),
        }
        rows.append(row)
    return rows


def to_price(v):
    if v is None or v == "":
        return None
    try:
        return float(v)
    except Exception:
        s = clean_str(v)
        m = re.search(r"([0-9]+(?:\\.[0-9]+)?)", s)
        if not m:
            return None
        return float(m.group(1))


def build_common_fields(base_row, spu_id):
    title = base_row.get("商品标题") or "Product"
    brand = base_row.get("品牌") or ""
    big_cat = base_row.get("大类目") or ""
    small_cat = base_row.get("小类目") or ""
    cat_path = base_row.get("类目路径") or ""

    handle = generate_handle(title)
    if handle and not handle.startswith("products/"):
        handle = "products/{}".format(handle)

    seo_title = title
    seo_desc_parts = []
    if brand:
        seo_desc_parts.append(brand)
    seo_desc_parts.append(title)
    if big_cat:
        seo_desc_parts.append(big_cat)
    seo_description = " ".join([x for x in seo_desc_parts if x])[:5000]

    seo_keywords = ",".join([x for x in [title, brand, big_cat, small_cat] if x])
    tags = ",".join([x for x in [brand, big_cat, small_cat] if x])

    created_at = parse_date_to_template(base_row.get("上架时间"))

    description = build_description_html(
        title=title,
        details=base_row.get("详细参数"),
        product_url=base_row.get("商品详情页链接"),
    )

    # default inventory settings (data source has no stock)
    inventory_qty = 100

    weight_val, weight_unit = parse_weight(base_row.get("商品重量（单位换算）"), base_row.get("商品重量"))
    size_info = parse_dimensions_inches(base_row.get("商品尺寸"))

    album = big_cat or ""
    if not album and cat_path:
        album = cat_path.split(":")[0]

    common = {
        "商品ID": "",
        "创建时间": created_at,
        "商品标题*": title[:255],
        "商品副标题": "{} {}".format(brand, big_cat).strip()[:600],
        "商品描述": description,
        "SEO标题": seo_title[:5000],
        "SEO描述": seo_description,
        "SEO URL Handle": handle,
        "SEO URL 重定向": "N",
        "SEO关键词": seo_keywords[:5000],
        "商品上架": "Y",
        "需要物流": "Y",
        "商品收税": "N",
        "商品spu": spu_id[:100],
        "启用虚拟销量": "N",
        "虚拟销量值": "",
        "跟踪库存": "Y",
        "库存规则*": "1",
        "专辑名称": album,
        "标签": tags,
        "供应商名称": "Amazon",
        "供应商URL": base_row.get("商品详情页链接") or base_row.get("品牌链接") or "",
        "商品重量": weight_val if weight_val != "" else "",
        "重量单位": weight_unit,
        "商品库存": inventory_qty,
        "尺寸信息": size_info,
        "原产地国别": "",
        "HS（协调制度）代码": "",
        "商品备注": "ASIN:{}; ParentASIN:{}; CategoryPath:{}".format(
            base_row.get("ASIN", ""), spu_id, (cat_path[:200] if cat_path else "")
        )[:500],
        "款式备注": "",
    }
    return common


def build_s_row(base_row):
    spu_id = base_row.get("父ASIN") or base_row.get("ASIN")
    common = build_common_fields(base_row, spu_id=spu_id)
    price = to_price(base_row.get("prime价格($)")) or to_price(base_row.get("价格($)")) or 9.99
    image = base_row.get("商品主图") or ""

    row = {}
    row.update(common)
    row.update({
        "商品属性*": "S",
        "款式1": "",
        "款式2": "",
        "款式3": "",
        "商品售价*": price,
        "商品原价": price,
        "成本价": "",
        "商品SKU": base_row.get("ASIN") or "",
        "商品条形码": "",
        "商品图片*": image,
        "商品主图": image,
    })
    return row


def build_m_p_rows(variant_rows):
    """
    variant_rows: List[dict] with same 父ASIN.
    """
    base = variant_rows[0]
    spu_id = base.get("父ASIN") or base.get("ASIN")
    common = build_common_fields(base, spu_id=spu_id)

    option_dicts = [parse_sku_options(v.get("SKU")) for v in variant_rows]
    option_keys = choose_option_keys(option_dicts, max_keys=3)
    if not option_keys:
        option_keys = ["Variant"]

    # M row
    m = {}
    m.update(common)
    m.update({
        "商品属性*": "M",
        "款式1": option_keys[0] if len(option_keys) > 0 else "",
        "款式2": option_keys[1] if len(option_keys) > 1 else "",
        "款式3": option_keys[2] if len(option_keys) > 2 else "",
        "商品售价*": "",
        "商品原价": "",
        "成本价": "",
        "商品SKU": "",
        "商品条形码": "",
        "商品图片*": base.get("商品主图") or "",
        "商品主图": base.get("商品主图") or "",
    })

    # For M row, these SKU-level fields should be empty per template guidance
    m["商品重量"] = ""
    m["重量单位"] = ""
    m["商品库存"] = ""
    m["尺寸信息"] = ""

    rows = [m]

    # P rows
    for v in variant_rows:
        v_common = build_common_fields(v, spu_id=spu_id)
        # wipe SPU-only fields for P row
        v_common.update({
            "商品副标题": "",
            "商品描述": "",
            "SEO标题": "",
            "SEO描述": "",
            "SEO URL Handle": "",
            "SEO URL 重定向": "",
            "SEO关键词": "",
            "专辑名称": "",
            "标签": "",
            "供应商名称": "",
            "供应商URL": "",
            "商品备注": "",
        })

        opt = parse_sku_options(v.get("SKU"))
        if option_keys == ["Variant"]:
            opt_vals = [v.get("ASIN")]
        else:
            opt_vals = [opt.get(k, "") for k in option_keys]

        price = to_price(v.get("prime价格($)")) or to_price(v.get("价格($)")) or 9.99
        image = v.get("商品主图") or ""

        p = {}
        p.update(v_common)
        p.update({
            "商品属性*": "P",
            "款式1": opt_vals[0] if len(opt_vals) > 0 else "",
            "款式2": opt_vals[1] if len(opt_vals) > 1 else "",
            "款式3": opt_vals[2] if len(opt_vals) > 2 else "",
            "商品售价*": price,
            "商品原价": price,
            "成本价": "",
            "商品SKU": v.get("ASIN") or "",
            "商品条形码": "",
            # P row supports one variant image; we use variant's main image
            "商品图片*": image,
            "商品主图": "",
        })
        rows.append(p)

    return rows


def main():
    parser = argparse.ArgumentParser(description="Convert Amazon-format xlsx files to Shoplazza import xlsx (deprecated script name)")
    parser.add_argument("--input-dir", default="data/mai_jia_jing_ling/products_data", help="Directory containing Amazon-format xlsx files")
    parser.add_argument("--template", default="docs/商品导入模板.xlsx", help="Shoplazza import template xlsx")
    parser.add_argument("--output", default="amazon_shoplazza_import.xlsx", help="Output xlsx file path")
    parser.add_argument("--max-files", type=int, default=None, help="Limit number of xlsx files to read (for testing)")
    parser.add_argument("--max-rows-per-file", type=int, default=None, help="Limit rows per xlsx file (for testing)")
    parser.add_argument("--max-products", type=int, default=None, help="Limit number of SPU groups to output (for testing)")
    args = parser.parse_args()

    input_dir = args.input_dir
    if not os.path.isdir(input_dir):
        raise RuntimeError("input-dir not found: {}".format(input_dir))
    if not os.path.exists(args.template):
        raise RuntimeError("template not found: {}".format(args.template))

    files = [os.path.join(input_dir, f) for f in os.listdir(input_dir) if f.lower().endswith(".xlsx")]
    files.sort()
    if args.max_files is not None:
        files = files[: int(args.max_files)]

    print("Reading Amazon-format files: {} (from {})".format(len(files), input_dir), flush=True)

    groups = defaultdict(list)  # spu_id -> [variant rows]
    seen_asin = set()

    for fp in files:
        print("  - loading: {}".format(fp), flush=True)
        try:
            rows = read_competitor_rows_from_file(fp, max_rows=args.max_rows_per_file)
        except Exception as e:
            print("WARN: failed to read {}: {}".format(fp, e))
            continue
        print("    loaded rows: {}".format(len(rows)), flush=True)

        for r in rows:
            asin = r.get("ASIN")
            if asin in seen_asin:
                continue
            seen_asin.add(asin)
            spu_id = r.get("父ASIN") or asin
            groups[spu_id].append(r)

    print("Collected variants: {}, SPU groups: {}".format(len(seen_asin), len(groups)), flush=True)

    excel_rows = []
    spu_count = 0

    for spu_id, variants in groups.items():
        if not variants:
            continue
        spu_count += 1
        if args.max_products is not None and spu_count > int(args.max_products):
            break
        if len(variants) == 1:
            excel_rows.append(build_s_row(variants[0]))
        else:
            excel_rows.extend(build_m_p_rows(variants))

    print("Generated Excel rows: {} (SPU groups output: {})".format(len(excel_rows), min(spu_count, len(groups))), flush=True)
    create_excel_from_template(args.template, args.output, excel_rows)


if __name__ == "__main__":
    main()