Digital Pathology Development Kit Client
Project description
dpkit
Python Client of the Module API for Pathology
Install
Make sure you create a virtual environment, activate it, and then install the dpkit
client:
python3 -m pip install dpkit-client
Usage
from time import sleep
from dpkit import AnalysisRequest, Client
from requests_toolbelt import sessions
with sessions.BaseUrlSession(base_url="http://localhost:5000/") as s:
c = Client(s)
# let's create a fileset by uploading the content of "input_dir"
fileset = c.upload(input_dir)
# then, request an analysis
analysis = c.new_analysis(AnalysisRequest(
module="hello_world_v1",
inputs={
"wsi": f"@{fileset.id}",
},
))
# this may take time so wait for the analysis to end
while True:
analysis = c.get_analysis(analysis.id)
if analysis.state == State.FAILED:
raise RuntimeError(f"last update: {analysis.changes[-1]}")
if analysis.state == State.COMPLETE:
break
sleep(5)
# analysis is complete so let's download the results
c.download(analysis, result_dir)
# and display the analysis itself
print(analysis.model_dump_json(indent=2))
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dpkit_client-0.0.1.tar.gz
(14.4 kB
view details)
Built Distribution
File details
Details for the file dpkit_client-0.0.1.tar.gz
.
File metadata
- Download URL: dpkit_client-0.0.1.tar.gz
- Upload date:
- Size: 14.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 18b0fd78efc471b8c923398b679810cc421f7a10238e9ad63ff851d4bb0e851f |
|
MD5 | 476c29dc3bdeca6b6a55acd1c167ad55 |
|
BLAKE2b-256 | 9ac8a32218efc26cfef1c1731d6b40ee2382e64d5ea6d7f35b334cf7b6e26056 |
File details
Details for the file dpkit_client-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: dpkit_client-0.0.1-py3-none-any.whl
- Upload date:
- Size: 13.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dfa9630515b9242b2e62517d91f386ed55d45b997ad173863aea16c602766dee |
|
MD5 | cce9260f6965c3008fec01aa65423b51 |
|
BLAKE2b-256 | 5bdecfca3fc277246aba23a9f0374d77a8e7433f30fb67b05211cbc89a66cfca |