import json
import pandas as pd


from company.company_db import FIND_DATA_IN_COMPANY, FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS
from company.company_utils import sub_dict, judge_industry


def find_company_data_scripts(table, cid):
    return FIND_DATA_IN_COMPANY(table, {"企业ID": cid})


def get_head_info_impl(cid):
    data = FIND_DATA_IN_COMPANY('综合评价分析', {"企业ID": cid})
    if data:
        return sub_dict(data[0], ['企业名称', '综合信用等级'])
    else:
        company = FIND_DATA_IN_COMPANY('公司基本信息', {"企业ID": cid})[0]
        result = {
            "企业名称": company['企业名称'],
            "综合信用等级": {
                "评价时间": "N/A",
                "信用等级": "N/A",
                "信用评分": "N/A"
            },
        }
        return result


def find_financial_index_detail_scripts(table, cid):

    index_detail = FIND_DATA_IN_COMPANY(table, {"企业ID": cid})
    if not index_detail:
        return False

    df = pd.DataFrame(index_detail).sort_values('年报期', ascending=False)
    cols = [
        '年报期',
        '净资产收益率',
        '总资产报酬率',
        '总资产周转率',
        '应收账款周转率',
        '存货周转率',
        '资产负债率',
        '已获利息倍数',
        '速动比率',
        '营业增长率',
        '总资产增长率',
        '技术投入比率'
    ]
    unit_cols = [
        '净资产收益率',
        '总资产报酬率',
        '总资产周转率',
        '存货周转率',
        '资产负债率',
        '速动比率',
        '营业增长率',
        '总资产增长率',
        '技术投入比率'
    ]

    def percent_unit(param):
        return param.map(lambda x: '{}%'.format(x) if (param.name in unit_cols and not pd.isna(x)) else x)

    df_result = df[cols].apply(lambda x: percent_unit(x))

    return list(json.loads(df_result.T.to_json()).values())


def industry_analysis_impl(cid):
    """
    行业宏观分析数据
    Parameters:
        cid: str 企业ID
    Returns:
        Case Success:
            data: dict 行业宏观分析数据
        Case Fail:
            data: dict 空字典
    """

    industry = judge_industry(cid)

    if industry is False:
        return {}

    data = FIND_DATA_IN_MACRO_INDUSTRY_ANALYSIS(industry)

    if data is False:
        return {}

    return data


def esg_analysis_impl(cid):
    """
    ESG要素分析数据
    Parameters:
        cid: str 企业ID
    Returns:
        Case Success:
            data: dict ESG分析数据
        Case Fail:
            data: dict 空字典
    """
    data = FIND_DATA_IN_COMPANY('ESG要素分析',{"企业ID": cid})

    if data is False:
        return {}

    return data