Skip to main content

A Python gRPC client for Drucker.

Project description

# drucker-client

[![Build Status](https://travis-ci.com/drucker/drucker-client.svg?branch=master)](https://travis-ci.com/drucker/drucker-client)
[![PyPI version](https://badge.fury.io/py/drucker-client.svg)](https://badge.fury.io/py/drucker-client)
[![codecov](https://codecov.io/gh/drucker/drucker-client/branch/master/graph/badge.svg)](https://codecov.io/gh/drucker/drucker-client "Non-generated packages only")
[![pypi supported versions](https://img.shields.io/pypi/pyversions/drucker-client.svg)](https://pypi.python.org/pypi/drucker-client)

Drucker is a framework of serving machine learning module. Drucker client is a SDK for accessing Drucker.

## Parent Project
https://github.com/drucker/drucker-parent

## Components
- [Drucker](https://github.com/drucker/drucker): Serving framework for a machine learning module.
- [Drucker-dashboard](https://github.com/drucker/drucker-dashboard): Management web service for the machine learning models to the drucker service.
- [Drucker-client](https://github.com/drucker/drucker-client) (here): SDK for accessing a drucker service.
- [Drucker-example](https://github.com/drucker/drucker-example): Example of how to use drucker.

## Installation
From source:

```
git clone --recursive https://github.com/drucker/drucker-client.git
cd drucker-client
python setup.py install
```

From [PyPi](https://pypi.org/project/drucker_client/) directly:

```
pip install drucker_client
```

## Example
Example is available [here](example/sample.py).

```python
from drucker_client import DruckerWorkerClient
from drucker_client.logger import logger


host = 'localhost:5000'
client = DruckerWorkerClient(logger=logger, host=host)

input = [0,0,0,1,11,0,0,0,0,0,
0,7,8,0,0,0,0,0,1,13,
6,2,2,0,0,0,7,15,0,9,
8,0,0,5,16,10,0,16,6,0,
0,4,15,16,13,16,1,0,0,0,
0,3,15,10,0,0,0,0,0,2,
16,4,0,0]
response = client.run_predict_arrint_arrint(input)
```

If you want to access the Drucker which runs on Kubernetes, try it below.

```python
from drucker_client import DruckerWorkerClient
from drucker_client.logger import logger


domain = 'example.com'
app = 'drucker-sample'
env = 'development'
client = DruckerWorkerClient(logger=logger, domain=domain, app=app, env=env)

input = [0,0,0,1,11,0,0,0,0,0,
0,7,8,0,0,0,0,0,1,13,
6,2,2,0,0,0,7,15,0,9,
8,0,0,5,16,10,0,16,6,0,
0,4,15,16,13,16,1,0,0,0,
0,3,15,10,0,0,0,0,0,2,
16,4,0,0]
response = client.run_predict_arrint_arrint(input)
```

### Available methods of ```DruckerWorkerClient```
You need to use an appropriate method for your Drucker service. The methods are generated according to the input and output formats. *V* is the length of feature vector. *M* is the number of classes. If your algorithm is a binary classifier, you set *M* to 1. If your algorithm is a multi-class classifier, you set *M* to the number of classes.

|method |input: data<BR>(required) |input: option |output: label<BR>(required) |output: score<BR>(required) |output: option |
|:---|:---|:---|:---|:---|:---|
|run_predict_string_string |string |string (json) |string |double |string (json) |
|run_predict_string_bytes |string |string (json) |bytes |double |string (json) |
|run_predict_string_arrint |string |string (json) |int[*M*] |double[*M*] |string (json) |
|run_predict_string_arrfloat |string |string (json) |double[*M*] |double[*M*] |string (json) |
|run_predict_string_arrstring |string |string (json) |string[*M*] |double[*M*] |string (json) |
|run_predict_bytes_string |bytes |string (json) |string |double |string (json) |
|run_predict_bytes_bytes |bytes |string (json) |bytes |double |string (json) |
|run_predict_bytes_arrint |bytes |string (json) |int[*M*] |double[*M*] |string (json) |
|run_predict_bytes_arrfloat |bytes |string (json) |double[*M*] |double[*M*] |string (json) |
|run_predict_bytes_arrstring |bytes |string (json) |string[*M*] |double[*M*] |string (json) |
|run_predict_arrint_string |int[*V*] |string (json) |string |double |string (json) |
|run_predict_arrint_bytes |int[*V*] |string (json) |bytes |double |string (json) |
|run_predict_arrint_arrint |int[*V*] |string (json) |int[*M*] |double[*M*] |string (json) |
|run_predict_arrint_arrfloat |int[*V*] |string (json) |double[*M*] |double[*M*] |string (json) |
|run_predict_arrint_arrstring |int[*V*] |string (json) |string[*M*] |double[*M*] |string (json) |
|run_predict_arrfloat_string |double[*V*] |string (json) |string |double |string (json) |
|run_predict_arrfloat_bytes |double[*V*] |string (json) |bytes |double |string (json) |
|run_predict_arrfloat_arrint |double[*V*] |string (json) |int[*M*] |double[*M*] |string (json) |
|run_predict_arrfloat_arrfloat |double[*V*] |string (json) |double[*M*] |double[*M*] |string (json) |
|run_predict_arrfloat_arrstring |double[*V*] |string (json) |string[*M*] |double[*M*] |string (json) |
|run_predict_arrstring_string |string[*V*] |string (json) |string |double |string (json) |
|run_predict_arrstring_bytes |string[*V*] |string (json) |bytes |double |string (json) |
|run_predict_arrstring_arrint |string[*V*] |string (json) |int[*M*] |double[*M*] |string (json) |
|run_predict_arrstring_arrfloat |string[*V*] |string (json) |double[*M*] |double[*M*] |string (json) |
|run_predict_arrstring_arrstring |string[*V*] |string (json) |string[*M*] |double[*M*] |string (json) |

The input "option" field needs to be a json format. Any style is Ok but we have some reserved fields below.

|Field |Type |Description |
|:---|:---|:---|
|suppress_log_input |bool |True: NOT print the input and output to the log message. <BR>False (default): Print the input and output to the log message.

### Test
```
python -m unittest drucker_client/test/test_worker_client.py
```


Project details


Download files

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

Files for drucker-client, version 0.4.1
Filename, size File type Python version Upload date Hashes
Filename, size drucker_client-0.4.1.tar.gz (16.0 kB) File type Source Python version None Upload date Hashes View
Filename, size drucker_client-0.4.1-py2.py3-none-any.whl (20.4 kB) File type Wheel Python version py2.py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page