"""CSV 文件处理模块

该模块用于合并同一证券在同一天的多笔交易记录，并生成汇总后的交易记录。
"""

import csv
import os
from collections import defaultdict


def process_csv(input_file, output_file):
    """处理CSV文件，合并相同证券在同一天的交易记录

    Args:
        input_file (str): 输入CSV文件路径
        output_file (str): 输出CSV文件路径
    """
    merged_records = defaultdict(
        lambda: {
            "buy_shares": 0.0,
            "buy_amount": 0.0,
            "sell_shares": 0.0,
            "sell_amount": 0.0,
            "order_ids": set(),
            "first_record": None,
            "time_part": None,
        }
    )

    with open(input_file, mode="r", newline="", encoding="utf-8") as infile:
        reader = csv.DictReader(infile)

        for row in reader:
            datetime_str = row["日期"]
            date_part, time_part = datetime_str.split("T")
            order_id = row["备注"].split("Order ID: ")[-1].strip()
            merge_key = (date_part, row["证券代码"])

            record = merged_records[merge_key]
            if record["first_record"] is None:
                record["first_record"] = row
                record["time_part"] = time_part

            record["order_ids"].add(order_id)
            if row["类型"] == "买入":
                record["buy_shares"] += float(row["份额"])
                record["buy_amount"] += float(row["净额"])
            elif row["类型"] == "卖出":
                record["sell_shares"] += float(row["份额"])
                record["sell_amount"] += float(row["净额"])

    output_rows = []

    for key, record in merged_records.items():
        date_part, symbol = key
        first_row = record["first_record"]

        net_shares = record["buy_shares"] - record["sell_shares"]
        net_amount = record["buy_amount"] - record["sell_amount"]

        if net_shares >= 0:
            operation_type = "买入"
            display_shares = net_shares
            display_amount = net_amount
        else:
            operation_type = "卖出"
            display_shares = -net_shares
            display_amount = -net_amount

        # 格式化为完整小数形式，不使用科学计数法
        formatted_shares = (
            f"{display_shares:f}".rstrip("0").rstrip(".")
            if "." in f"{display_shares:f}"
            else f"{display_shares:f}"
        )
        formatted_amount = (
            f"{display_amount:f}".rstrip("0").rstrip(".")
            if "." in f"{display_amount:f}"
            else f"{display_amount:f}"
        )

        merged_row = {
            "日期": f"{date_part}T{record['time_part']}",
            "类型": operation_type,
            "证券代码": symbol,
            "份额": formatted_shares,
            "净额": formatted_amount,
            "现金账户": first_row["现金账户"],
            "目标账户": first_row["目标账户"],
            "备注": f"MEXC API - Order ID: {', '.join(sorted(record['order_ids']))}",
        }

        output_rows.append(merged_row)

    # 写入输出文件
    with open(output_file, mode="w", newline="", encoding="utf-8") as outfile:
        fieldnames = [
            "日期",
            "类型",
            "证券代码",
            "份额",
            "净额",
            "现金账户",
            "目标账户",
            "备注",
        ]
        writer = csv.DictWriter(outfile, fieldnames=fieldnames)

        writer.writeheader()
        writer.writerows(output_rows)


def process_all_csvs(input_dir="output"):
    """处理指定目录下的所有CSV文件

    Args:
        input_dir (str): 包含CSV文件的目录路径
    """
    for filename in os.listdir(input_dir):
        if filename.endswith(".csv") and not filename.startswith("merged_"):
            input_path = os.path.join(input_dir, filename)
            output_path = os.path.join(input_dir, f"merged_{filename}")
            process_csv(input_path, output_path)
            print(f"处理完成: {filename} -> merged_{filename}")


if __name__ == "__main__":
    process_all_csvs()
    print("所有文件处理完成")