Skip to main content

Python client for the SewerRat API

Project description

Python interface to the SewerRat API

Unit tests Documentation PyPI-Server

Pretty much as it says on the tin: provides a Python client for the API of the same name. It is assumed that the users of the sewerrat client and the SewerRat API itself are accessing the same shared filesystem; this is typically the case for high-performance computing clusters in scientific institutions. To demonstrate, let's spin up a mock SewerRat instance:

import sewerrat as sr
_, url = sr.start_sewerrat()

Let's mock up a directory of metadata files:

import tempfile
import os

mydir = tempfile.mkdtemp()
with open(os.path.join(mydir, "metadata.json"), "w") as handle:
    handle.write('{ "first": "foo", "last": "bar" }')

os.mkdir(os.path.join(mydir, "diet"))
with open(os.path.join(mydir, "diet", "metadata.json"), "w") as handle:
    handle.write('{ "fish": "barramundi" }')

We can then easily register it via the register() function. Similarly, we can deregister this directory with deregister(mydir).

# Only indexing metadata files named 'metadata.json'.
sr.register(mydir, names=["metadata.json"], url=url)

To search the index, we use the query() function to perform free-text searches. This does not require filesystem access and can be done remotely.

sr.query(url, "foo")
sr.query(url, "bar%") # partial match to 'bar...'
sr.query(url, "bar% AND foo") # boolean operations
sr.query(url, "fish:bar%") # match in the 'fish' field

We can also search on the user, path components, and time of creation:

sr.query(url, user="LTLA") # created by myself
sr.query(url, path="diet/") # path has 'diet/' in it

import time
sr.query(url, after=time.time() - 3600) # created less than 1 hour ago

Once we find a file of interest from a registered directory, we can retrieve its metadata, or other files in the same directory, or the entire directory itself:

sr.retrieve_metadata(mydir + "/metadata.json", url)
sr.list_files(mydir, url)
sr.retrieve_file(mydir + "/diet/metadata.json", url)
sr.retrieve_directory(mydir, url)

Check out the API documentation for more details on each function. For the concepts underlying the SewerRat itself, check out the repository for a detailed explanation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sewerrat-0.2.3.tar.gz (28.3 kB view details)

Uploaded Source

Built Distribution

SewerRat-0.2.3-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file sewerrat-0.2.3.tar.gz.

File metadata

  • Download URL: sewerrat-0.2.3.tar.gz
  • Upload date:
  • Size: 28.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for sewerrat-0.2.3.tar.gz
Algorithm Hash digest
SHA256 38f0076228969b073f8d750510886292433861fddb7a3410096792b03554c487
MD5 d8c121dd3263b8e352d17b81153ed470
BLAKE2b-256 5c50d0b685cad7c6ef1a41c2f7c8f771997bf3e819c7a02c0e0a7558c6ede566

See more details on using hashes here.

File details

Details for the file SewerRat-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: SewerRat-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 14.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for SewerRat-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1344c411a9b4af5e2ba5143d43613594860effc96a4874e0677503b0f69218e8
MD5 922f8f6840e46eaac99aa5fc0cdbc48f
BLAKE2b-256 72fd7432bd370557b4afe4b11d7707eb37fd92b05ccfd659f0dc8bd063da43c4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page