zenodo-upload.py

import requests

params = {'access_token': '<your-access-token>'}

# Create the deposit resource
url = "https://sandbox.zenodo.org/api/deposit/depositions"
headers = {"Content-Type": "application/json"}

res = requests.post(
    url, 
    json={},
    # Headers are not necessary here since "requests" automatically
    # adds "Content-Type: application/json", because we're using
    # the "json=" keyword argument...
    # headers=headers, 
    params=params,
)
print(res.json())

# In the new files API we use a PUT request to a 'bucket' link, which is the container for files
# bucket url looks like this: 'https://sandbox.zenodo.org/api/files/12341234-abcd-1234-abcd-0e62efee00c0' 
bucket_url = res.json()['links']['bucket']

# We pass the file object (fp) directly to request as 'data' for stream upload
# the target URL is the URL of the bucket and the desired filename on Zenodo seprated by slash
with open('/path/to/my-file.zip', 'rb') as fp:
    res = requests.put(
        bucket_url + '/my-file.zip', 
        data=fp,
        # No headers included in the request, since it's a raw byte request
        params=params,
    )
print(res.json())

can you add a percentage indicator of the upload process?
it would be great in large file sizes.

I think this is all it takes to add a progress bar:

import os

import requests
from tqdm import tqdm  # pip install tqdm
from tqdm.utils import CallbackIOWrapper

params = {"access_token": "<your-access-token>"}

# Get bucket URL
res = requests.get(
    "https://zenodo.org/api/deposit/depositions/<your-deposit-id>", 
    json={},
    params=params,
)
# print(res.json())
bucket_url = res.json()["links"]["bucket"]

# Upload file
file_path = "<path-to-file-to-upload>"
file_size = os.stat(file_path).st_size
with open(file_path, "rb") as f:
    with tqdm(total=file_size, unit="B", unit_scale=True, unit_divisor=1024) as t:
        wrapped_file = CallbackIOWrapper(t.update, f, "read")
        requests.put(
            bucket_url + "/" + os.path.basename(file_path),
            data=wrapped_file,
            params=params,
        )

Based on this gist.