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- import pandas as pd
- import pymongo
- def main():
- myclient = pymongo.MongoClient("mongodb://{0}:{1}@10.5.64.238:57017/".format("root","yfkj2024"))
- db = myclient.smartfarming
- sa_device = db.sa_device
- filename = "E:\\2024-云飞科技\\北大荒\\北大荒故障.xlsx"
- df = pd.read_excel(filename, sheet_name="总表")
- df = df[["设备号", "北大荒ID", "农场"]]
- df.fillna("", inplace=True)
- is_exist = 0
- for k in df.to_dict(orient='records'):
- yf_id = k["设备号"]
- bdh_id = k["北大荒ID"]
- farm_name = k["农场"]
- if bdh_id and farm_name:
- update = sa_device.update_one(
- {"device_id": str(yf_id)},
- {"$set":{"device_name":farm_name + str(int(bdh_id))}}
- )
- if update.modified_count == 0:
- print("设备号:", yf_id)
- print("设备不存在或已更新")
- else:
- print("设备号:", yf_id, " 更新成功")
- else:
- print("设备号:", yf_id)
- print("设备号或北大荒ID或农场名称为空")
- if __name__ == "__main__":
- main()
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