虽然在AWS Lambda中给出了错误,但代码在本地机器上运行良好

我编写了一个代码,从一个站点中提取数据,然后将数据转换成一个数据帧。将其清除,然后将其发送到AWS S2,在那里可以存储数据

import requests
import pandas as pd
from datetime import datetime
from datetime import date
import json
import smart_open


def save_to_s3(s3_file_location, data_item):
    with smart_open.open(s3_file_location, "w") as out_file:
        for data in data_item:
            out_file.write(json.dumps(data))
            out_file.write("\n")

    print(f"Data saved to {s3_file_location}")


def pulling_corporate_announcements(event=None,context=None):
    print("Started Pulling")
    currentd = date.today()
    s = requests.Session()
    headers =   {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36'}
    url = 'https://www.nseindia.com/'
    step = s.get(url,headers=headers)
    step = s.get(url)
    today = datetime.now().strftime('%d-%m-%Y')
    api_url = f'https://www.nseindia.com/api/corporate-announcements?index=equities&from_date={today}&to_date={today}'
    resp = s.get(api_url,headers=headers).json()
    resp = s.get(api_url).json()
    result = pd.DataFrame(resp)
    result.drop(['difference', 'dt','exchdisstime','csvName','old_new','orgid','seq_id','sm_isin','bflag','symbol','sort_date'], axis = 1, inplace = True)
    result.rename(columns = {'an_dt':'DateandTime', 'attchmntFile':'Source','attchmntText':'Topic','desc':'Type','smIndustry':'Sector','sm_name':'Company Name'}, inplace = True)
    result[['Date','Time']] = result.DateandTime.str.split(expand=True)
    result = result[result['Type'].str.contains("Loss of Share Certificates|Copy of Newspaper Publication") == False]
    result['Type'] = result['Type'].astype(str)
    result['Type'].replace("Certificate under SEBI (Depositories and Participants) Regulations, 2018",'Junk' , inplace = True)
    result = result[result['Type'].str.contains("Junk") == False]
    result = result[result["Type"].str.contains("Trading Window") == False]
    result.drop_duplicates(subset='Source', keep = 'first', inplace = True)
    result['Temporary']=pd.to_datetime(result['Date']+' '+result['Time'])
    result['Date']=result['Temporary'].dt.strftime('%b %d, %Y')
    result['Time']=result['Temporary'].dt.strftime('%R %p')
    result['DateTime'] = pd.to_datetime(result['Temporary'])
    result['DateTime'] = result['Temporary'].dt.strftime('%m/%d/%Y %I:%M %p')
    result.drop(['DateandTime', 'Temporary'], axis = 1, inplace = True)
    file_name = ( str(currentd.day) +'-'+str(currentd.month) +'-'+'CA.csv')
    s3_location = "s3://corpanc/" + file_name
    save_to_s3(s3_location,result)
    print('Saved the CSV File')

这段代码在我本地的windows 10中运行良好,尽管当我将其上传到AWS lambda时,它给了我这个错误。我尝试了各种方法来安装numpy,然后制作一个ZIP文件并上传。虽然它不仅有效。我还尝试添加一个numpy层,但错误仍然存在。错误消息-

[ERROR] Runtime.ImportModuleError: Unable to import module 'coranc': Unable to import required dependencies:
numpy: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.9 from "/var/lang/bin/python3.9"
  * The NumPy version is: "1.22.3"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: No module named 'numpy.core._multiarray_umath

'