tentaclio_unified_uri_resource_read_write_quickstart.py

1import tentaclio
2
3# The URL can be any supported protocol (s3://, gcs://, sftp://, etc.)
4# For this example, we use a local file path or a mock-like URI
5resource_url = "file:///tmp/hello_tentaclio.txt"
6
7# Writing to a resource
8with tentaclio.open(resource_url, mode="w") as f:
9    f.write("Hello, tentaclio!")
10
11# Reading from a resource
12with tentaclio.open(resource_url, mode="r") as f:
13    content = f.read()
14    print(f"Content from {resource_url}: {content}")
15
16# You can also use it with pandas if the extra is installed
17# import pandas as pd
18# with tentaclio.open("s3://my-bucket/data.csv") as f:
19#     df = pd.read_csv(f)