# -*- 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 sys.path.append(os.getcwd()) from common import Common 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: Common.logger("feishu").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: Common.logger("feishu").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: Common.logger("feishu").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) Common.logger("feishu").info("插入行或列:{}", r.json()["msg"]) except Exception as e: Common.logger("feishu").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) Common.logger("feishu").info("写入数据:{}", r.json()["msg"]) except Exception as e: Common.logger("feishu").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) Common.logger("feishu").info("合并单元格:{}", r.json()["msg"]) except Exception as e: Common.logger("feishu").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: Common.logger("feishu").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: Common.logger("feishu").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) Common.logger("feishu").info("删除视频数据:{}", r.json()["msg"]) except Exception as e: Common.logger("feishu").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: Common.logger("feishu").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"{mark_name}" 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'{name}' for type, name in zip(log_type, mark_name)]) # users = f"{mark_name}" 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"{mark_name}" 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) Common.logger("feishu").info(f'触发机器人消息:{r.status_code}, {text}') except Exception as e: Common.logger("feishu").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) Common.logger("feishu").info(f'触发机器人消息:{r.status_code}, {text}') except Exception as e: Common.logger("feishu").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')