import os
import json
import functools

from flask import request

from setting import API_SECRET, APP_NAME


def file_path(param):
    """
    返回文件真实路径
    避免因为文件路径问题带来的麻烦
    Parameters:
        param: 文件相对路径
    Returns:
        path: 文件真实路径
    """
    abs_path = os.path.abspath(os.path.dirname(__file__))
    rel_path = abs_path[:abs_path.find(APP_NAME) + len(APP_NAME)]
    path = os.path.abspath(rel_path + param)
    return path


def read_json_file(param):
    """
    读取json文件
    Parameters:
        param: json文件真实路径
    Returns:
        result: json内容
    """
    with open(file_path(param), "r", encoding='utf-8') as f:
        result = json.load(f)
        return result


def verify_token(func):
    """
    校验token
    """
    @functools.wraps(func)
    def internal(*args, **kwargs):
        try:
            token = request.headers.get('token')
            if token != API_SECRET:
                return {"info": "接口密钥错误"}, 401
        except Exception:
            return {"info": "请求异常"}, 401
        return func(*args, **kwargs)
    return internal


def sub_dict(param1, param2):
    """
    获取字典的子集
    Parameters:
        param1: 原字典
        param2: 子集字段
    Returns:
        子集
    """
    return dict((key, value) for key, value in param1.items() if key in param2)


def df_iterrows(param):
    """
    按行以数组形式返回DataFrame的index、data
    Parameters:
        param: DataFrame 某个df对象
    Returns:
        result: list 遍历df对象每行数据，包括index
    """
    result = []
    for row in param.iterrows():
        index, data = row
        result.append([index] + data.tolist())
    return result