Python调度程序不运行工作功能

Question

I am trying to schedule a (working) python function load_market_data , but somehow this script doesn't work in scheduler.

schedule.every(1).day.at("12:46").do(load_market_data)
while True:
    schedule.run_pending()
    time.sleep(60)

I get an error " load_market_data() takes 0 positional arguments but 1 was given "

When I add brackets after function

schedule.every(1).day.at("12:46").do(load_market_data())
while True:
    schedule.run_pending()
    time.sleep(60)

The function returns the result, but still returns error " the first argument must be callable "

I found similar issues, but the solution was always making function(self) When I add self load_market_data(self) the function tells me " load_market_data() missing 1 required positional argument: 'self' " As I said before, load_market_data function is working by itself It is pretty long code, so in short it looks like this

def load_market_data():
    if today_value < (lastmonth_min+200):
        print("send email")
    else:
        print("ignore")

PS I was asked to provide a reproducible code, it is not part of question, but if it helps you :

def load_market_data():

    response = requests.get("https://api.blockchain.info/charts/market-price?timespan=2years&start=2019-07-01&format=csv").text


    response = response.splitlines()

    dfMRKT = pd.DataFrame(response)
    dfMRKT.columns = ['WIP_transAMT']

    dfMRKT['Date'] = pd.DatetimeIndex(dfMRKT['WIP_transAMT'].str.split(',').str[0])  + pd.DateOffset(1)
    pd.to_datetime(dfMRKT['Date'])

    dfMRKT['Mrkt Price USD'] = dfMRKT['WIP_transAMT'].str.split(',').str[1]
    dfMRKT['Mrkt Price USD'] = pd.to_numeric(dfMRKT['Mrkt Price USD'], downcast="float")


    dfMRKT = dfMRKT[['Date','Mrkt Price USD']]
    
    today = date.today()
    last_month = today - pd.DateOffset(months=1)
    half_year = today - pd.DateOffset(month=6)
    dfMRKT_halfyear = dfMRKT[(dfMRKT['Date'] >= half_year)]
    dfMRKT_lastmonth = dfMRKT[(dfMRKT['Date'] >= last_month)]
    lastmonth_min = dfMRKT_lastmonth.min()
    lastmonth_min = lastmonth_min['Mrkt Price USD']
    halfyear_min = dfMRKT_halfyear.min()
    halfyear_min = halfyear_min['Mrkt Price USD']
    today_value = dfMRKT_lastmonth.iloc[[-1]]
    today_value = today_value['Mrkt Price USD']
    today_value = float(today_value)
   
    
    if today_value < (lastmonth_min+200):
        print("send email")
    else:
        print("ignore")

Answer 1

Not sure if this will reach you now 4 months later but I found the solution after having the same problem (I believe). Essentially you've been testing your code and submitted it. Its already running and the "while True" is still running. When you try to tweak something by giving it the same schedule, it breaks! You have to open up a fresh instance of the python console and try rerunning it. That worked for me. I have no clue why it causes that error, however.