video-insight/utils/feishu_utils.py

# -*- coding: utf-8 -*-
"""
飞书表配置: token 鉴权 / 增删改查 / 机器人报警
"""
import json
import os
import sys
import requests
import urllib3
from loguru import logger

sys.path.append(os.getcwd())

proxies = {"http": None, "https": None}


class Feishu:
    """
    编辑飞书云文档
    """
    succinct_url = "https://w42nne6hzg.feishu.cn/sheets/"
    # 飞书路径token
    @classmethod
    def spreadsheettoken(cls, crawler):
        if crawler == "summary":
            return "KsoMsyP2ghleM9tzBfmcEEXBnXg"
        else:
            return crawler



    # 获取飞书api token
    @classmethod
    def get_token(cls):
        """
        获取飞书api token
        :return:
        """
        url = "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/"
        post_data = {"app_id": "cli_a13ad2afa438d00b",  # 这里账号密码是发布应用的后台账号及密码
                     "app_secret": "4tK9LY9VbiQlY5umhE42dclBFo6t4p5O"}

        try:
            urllib3.disable_warnings()
            response = requests.post(url=url, data=post_data, proxies=proxies, verify=False)
            tenant_access_token = response.json()["tenant_access_token"]
            return tenant_access_token
        except Exception as e:
            logger.error("获取飞书 api token 异常:{}", e)

    # 获取表格元数据
    @classmethod
    def get_metainfo(cls, crawler):
        """
        获取表格元数据
        :return:
        """
        try:
            get_metainfo_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                               + cls.spreadsheettoken(crawler) + "/metainfo"

            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            params = {
                "extFields": "protectedRange",  # 额外返回的字段，extFields=protectedRange时返回保护行列信息
                "user_id_type": "open_id"  # 返回的用户id类型，可选open_id,union_id
            }
            urllib3.disable_warnings()
            r = requests.get(url=get_metainfo_url, headers=headers, params=params, proxies=proxies, verify=False)
            response = json.loads(r.content.decode("utf8"))
            return response
        except Exception as e:
            logger.error("获取表格元数据异常:{}", e)

    # 读取工作表中所有数据
    @classmethod
    def get_values_batch(cls, crawler, sheetid):
        """
        读取工作表中所有数据
        :param crawler: 哪个爬虫
        :param sheetid: 哪张表
        :return: 所有数据
        """
        try:
            get_values_batch_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                                   + cls.spreadsheettoken(crawler) + "/values_batch_get"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            params = {
                "ranges": sheetid,
                "valueRenderOption": "ToString",
                "dateTimeRenderOption": "",
                "user_id_type": "open_id"
            }
            urllib3.disable_warnings()
            r = requests.get(url=get_values_batch_url, headers=headers, params=params, proxies=proxies, verify=False)
            response = json.loads(r.content.decode("utf8"))
            values = response["data"]["valueRanges"][0]["values"]
            return values
        except Exception as e:
            logger.error("读取工作表所有数据异常:{}", e)

    # 工作表，插入行或列
    @classmethod
    def insert_columns(cls, crawler, sheetid, majordimension, startindex, endindex):
        """
        工作表插入行或列
        :param log_type: 日志路径
        :param crawler: 哪个爬虫的云文档
        :param sheetid:哪张工作表
        :param majordimension:行或者列, ROWS、COLUMNS
        :param startindex:开始位置
        :param endindex:结束位置
        """
        try:
            insert_columns_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                                 + cls.spreadsheettoken(crawler) + "/insert_dimension_range"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            body = {
                "dimension": {
                    "sheetId": sheetid,
                    "majorDimension": majordimension,  # 默认 ROWS ，可选 ROWS、COLUMNS
                    "startIndex": startindex,  # 开始的位置
                    "endIndex": endindex  # 结束的位置
                },
                "inheritStyle": "AFTER"  # BEFORE 或 AFTER，不填为不继承 style
            }

            urllib3.disable_warnings()
            r = requests.post(url=insert_columns_url, headers=headers, json=body, proxies=proxies, verify=False)
            logger.info("插入行或列:{}", r.json()["msg"])
        except Exception as e:
            logger.error("插入行或列异常:{}", e)

    # 写入数据
    @classmethod
    def update_values(cls, crawler, sheetid, ranges, values):
        """
        写入数据
        :param log_type: 日志路径
        :param crawler: 哪个爬虫的云文档
        :param sheetid:哪张工作表
        :param ranges:单元格范围
        :param values:写入的具体数据，list
        """
        try:
            update_values_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                                + cls.spreadsheettoken(crawler) + "/values_batch_update"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            body = {
                "valueRanges": [
                    {
                        "range": sheetid + "!" + ranges,
                        "values": values
                    },
                ],
            }
            urllib3.disable_warnings()
            r = requests.post(url=update_values_url, headers=headers, json=body, proxies=proxies, verify=False)
            logger.info("写入数据:{}", r.json()["msg"])
        except Exception as e:
            logger.error("写入数据异常:{}", e)

    # 合并单元格
    @classmethod
    def merge_cells(cls, crawler, sheetid, ranges):
        """
        合并单元格
        :param log_type: 日志路径
        :param crawler: 哪个爬虫
        :param sheetid:哪张工作表
        :param ranges:需要合并的单元格范围
        """
        try:
            merge_cells_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                              + cls.spreadsheettoken(crawler) + "/merge_cells"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }

            body = {
                "range": sheetid + "!" + ranges,
                "mergeType": "MERGE_ROWS"
            }
            urllib3.disable_warnings()
            r = requests.post(url=merge_cells_url, headers=headers, json=body, proxies=proxies, verify=False)
            logger.info("合并单元格:{}", r.json()["msg"])
        except Exception as e:
            logger.error("合并单元格异常:{}", e)

    # 读取单元格数据
    @classmethod
    def get_range_value(cls, crawler, sheetid, cell):
        """
        读取单元格内容
        :param log_type: 日志路径
        :param crawler: 哪个爬虫
        :param sheetid: 哪张工作表
        :param cell: 哪个单元格
        :return: 单元格内容
        """
        try:
            get_range_value_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                                  + cls.spreadsheettoken(crawler) + "/values/" + sheetid + "!" + cell
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            params = {
                "valueRenderOption": "FormattedValue",

                # dateTimeRenderOption=FormattedString 计算并对时间日期按照其格式进行格式化，但不会对数字进行格式化，返回格式化后的字符串。
                "dateTimeRenderOption": "",

                # 返回的用户id类型，可选open_id,union_id
                "user_id_type": "open_id"
            }
            urllib3.disable_warnings()
            r = requests.get(url=get_range_value_url, headers=headers, params=params, proxies=proxies, verify=False)
            # print(r.text)
            return r.json()["data"]["valueRange"]["values"][0]
        except Exception as e:
            logger.error("读取单元格数据异常:{}", e)
    # 获取表内容
    @classmethod
    def get_sheet_content(cls, crawler, sheet_id):
        try:
            sheet = Feishu.get_values_batch(crawler, sheet_id)
            content_list = []
            for x in sheet:
                for y in x:
                    if y is None:
                        pass
                    else:
                        content_list.append(y)
            return content_list
        except Exception as e:
            logger.error(f'get_sheet_content:{e}\n')

    # 删除行或列，可选 ROWS、COLUMNS
    @classmethod
    def dimension_range(cls, log_type, crawler, sheetid, major_dimension, startindex, endindex):
        """
        删除行或列
        :param log_type: 日志路径
        :param crawler: 哪个爬虫
        :param sheetid:工作表
        :param major_dimension:默认 ROWS ，可选 ROWS、COLUMNS
        :param startindex:开始的位置
        :param endindex:结束的位置
        :return:
        """
        try:
            dimension_range_url = "https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/" \
                                  + cls.spreadsheettoken(crawler) + "/dimension_range"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            body = {
                "dimension": {
                    "sheetId": sheetid,
                    "majorDimension": major_dimension,
                    "startIndex": startindex,
                    "endIndex": endindex
                }
            }
            urllib3.disable_warnings()
            r = requests.delete(url=dimension_range_url, headers=headers, json=body, proxies=proxies, verify=False)
            logger.info("删除视频数据:{}", r.json()["msg"])
        except Exception as e:
            logger.error("删除视频数据异常:{}", e)

    # 获取用户 ID
    @classmethod
    def get_userid(cls, username):
        try:
            url = "https://open.feishu.cn/open-apis/user/v1/batch_get_id?"
            headers = {
                "Authorization": "Bearer " + cls.get_token(),
                "Content-Type": "application/json; charset=utf-8"
            }
            name_phone_dict = {
                "xinxin": "15546206651",
                "muxinyi": "13699208058",
                "wangxueke": "13513479926",
                "yuzhuoyi": "18624010360",
                "luojunhui": "18801281360",
                "fanjun": "15200827642",
                "zhangyong": "17600025055",
                'liukunyu': "18810931977"
            }
            username = name_phone_dict.get(username)

            data = {"mobiles": [username]}
            urllib3.disable_warnings()
            r = requests.get(url=url, headers=headers, params=data, verify=False, proxies=proxies)
            open_id = r.json()["data"]["mobile_users"][username][0]["open_id"]

            return open_id
        except Exception as e:
            logger.error(f"get_userid异常:{e}\n")

    # 飞书机器人
    @classmethod
    def bot(cls, log_type, crawler, text, mark_name):
        try:

            headers = {'Content-Type': 'application/json'}
            if crawler == "机器自动改造消息通知":
                url = "https://open.feishu.cn/open-apis/bot/v2/hook/e7697dc6-5254-4411-8b59-3cd0742bf703"
                sheet_url = "https://w42nne6hzg.feishu.cn/sheets/KsoMsyP2ghleM9tzBfmcEEXBnXg?sheet=bc154d"
                users = f"<at id=" + str(cls.get_userid(log_type)) + f">{mark_name}</at>"
            elif crawler == "快手关键词搜索":
                url = "https://open.feishu.cn/open-apis/bot/v2/hook/e7697dc6-5254-4411-8b59-3cd0742bf703"
                sheet_url = "https://w42nne6hzg.feishu.cn/sheets/KsoMsyP2ghleM9tzBfmcEEXBnXg?sheet=U1gySe"
                users = "".join([f'<at id="{cls.get_userid(type)}">{name}</at>' for type, name in
                                 zip(log_type, mark_name)])
                # users = f"<at id=" + str(cls.get_userid(log_type)) + f">{mark_name}</at>"
            else:
                url = "https://open.feishu.cn/open-apis/bot/v2/hook/7928f182-08c1-4c4d-b2f7-82e10c93ca80"
                sheet_url = "https://w42nne6hzg.feishu.cn/sheets/KsoMsyP2ghleM9tzBfmcEEXBnXg?sheet=bc154d"
                users = f"<at id=" + str(cls.get_userid(log_type)) + f">{mark_name}</at>"
            data = json.dumps({
                "msg_type": "interactive",
                "card": {
                    "config": {
                        "wide_screen_mode": True,
                        "enable_forward": True
                    },
                    "elements": [{
                        "tag": "div",
                        "text": {
                            "content": users + text,
                            "tag": "lark_md"
                        }
                    }, {
                        "actions": [{
                            "tag": "button",
                            "text": {
                                "content": "详情,点击～～～～～",
                                "tag": "lark_md"
                            },
                            "url": sheet_url,
                            "type": "default",
                            "value": {}
                        }],
                        "tag": "action"
                    }],
                    "header": {
                        "title": {
                            "content": "📣消息提醒",
                            "tag": "plain_text"
                        }
                    }
                }
            })
            urllib3.disable_warnings()
            r = requests.post(url, headers=headers, data=data, verify=False, proxies=proxies)
            logger.info(f'触发机器人消息:{r.status_code}, {text}')
        except Exception as e:
            logger.error(f"bot异常:{e}\n")

    # 飞书机器人-改造计划完成通知
    @classmethod
    def finish_bot(cls, text, url, content):
        try:
            headers = {'Content-Type': 'application/json'}
            data = json.dumps({
                "msg_type": "interactive",
                "card": {
                    "config": {
                        "wide_screen_mode": True,
                        "enable_forward": True
                    },
                    "elements": [{
                        "tag": "div",
                        "text": {
                            "content": text,
                            "tag": "lark_md"
                        }
                    }],
                    "header": {
                        "title": {
                            "content": content,
                            "tag": "plain_text"
                        }
                    }
                }
            })
            urllib3.disable_warnings()
            r = requests.post(url, headers=headers, data=data, verify=False, proxies=proxies)
            logger.info(f'触发机器人消息:{r.status_code}, {text}')
        except Exception as e:
            logger.error(f"bot异常:{e}\n")


if __name__ == "__main__":
    Feishu.bot('recommend', '抖音', '测试: 抖音cookie失效，请及时更换')