I am getting too many errors on Heroku, so any print statements are not showing up in logs. This code works fine locally (python on windows 10) but wont work on Heroku, where it tells me there is nothing to concat...
path = r'.\store\tx' # use path for csv files
all_files = glob.glob(os.path.join(path , "tastyworks_tx*.csv")) #
li = []
print(all_files)
for filename in all_files:
df = pd.read_csv(filename, index_col=None, header=0)
print('filename: ', filename)
input('pause here..')
li.append(df)
frame = pd.concat(li, axis=0, ignore_index=True) #append all the files to a single dataframe called "frame"
I have checked the \store\tx
folder on Heroku and the tastyworks_tx*.csv
files are present and I have other functions that can access files inside of the store folder but they use forward slanting (e.g. hist_data = pd.read_csv('./store/hist5m.csv', index_col=0, header=[0, 1])
works fine ).
On Heroku I get the following error.
2022-08-18T05:35:28.470644 00:00 app[web.1]: File "/app/./main.py", line 291, in tastytx 2022-08-18T05:35:28.470644 00:00 app[web.1]: frame = pd.concat(li, axis=0, ignore_index=True) #append all the files to a single dataframe called "frame"
...
raise ValueError("No objects to concatenate") 2022-08-18T05:35:28.470645 00:00 app[web.1]: ValueError: No objects to concatenate
my python dependencies used are same version as on the local setup, though the local setup has more installed. Here is my "requirements.txt" file for Heroku that installs fine:
pandas==1.4.2, pandas-datareader==0.10.0, DateTime==4.4, yfinance==0.1.72, fastapi==0.79.0, uvicorn==0.18.2, beautifulsoup4==4.11.1
I dont want to give Heroku my credit card info so cannot install Papertrail or better logging addons and cant figure out how to find out more of what is going wrong here due to limits on the logs.
CodePudding user response:
This is likely because you are using \
instead of /
in the path.
On Linux, which is probably the OS for your Heroku machine, directories are separated with '/'. Your code will be looking for a file called precisely .\\store\\tx\\tastyworks_tx_2020.csv
rather than a file called tastyworks_tx_2020.csv
in .store/tx/
.
Another (IMO more rubust) solution to replacing \
with /
would be to use pathlib, which should work on all operating systems.
from pathlib import Path
the_path = Path("store") / Path("tx")
all_files = the_path.glob("tastyworks_tx*.csv")
...