vectorize-client 0.2.0

Python client for the Vectorize API

from dataclasses import field

Vectorize Client

Python Api Client for Vectorize For more information, please visit https://vectorize.io

Requirements.

Python 3.8+

Installation & Usage

pip install vectorize-client

Then import the package:

import vectorize_client

Getting Started

Please follow the installation procedure and then run the following:

import vectorize_client as v

TOKEN = '<your-token>'
ORG = '<your-org-id>'

with v.ApiClient(v.Configuration(access_token=TOKEN)) as api:
    pipelines = v.PipelinesApi(api)
    response = pipelines.get_pipelines(ORG)
    print("Found" + str(len(response.data)) + " pipelines")

Documentation for API Endpoints

All URIs are relative to https://api.vectorize.io/v1

See the full reference for more information.

Usage

First, export your token and org id as environment variables:

export VECTORIZE_TOKEN=<your-token>
export VECTORIZE_ORG=<your-org-id>

Then, initialize the client with your token and org id:

import os
TOKEN = os.environ['VECTORIZE_TOKEN']
ORG = os.environ['VECTORIZE_ORG']

Extraction

Set the file you want to extract data from:

export FILE=<path-to-file>

Then, run the following code:

import os
import vectorize_client as v
import time, logging

TOKEN = os.environ['VECTORIZE_TOKEN']
ORG = os.environ['VECTORIZE_ORG']
FILE = os.environ['FILE']

with v.ApiClient(v.Configuration(access_token=TOKEN)) as api:
    with open(FILE, 'rb') as file:
        data = file.read()
        extraction_id = v.ExtractionApi(api).start_extraction(ORG, data).extraction_id
        print(f"Extraction started with id {extraction_id}")
        while True:
            extraction = v.ExtractionApi(api).get_extraction_result(ORG, extraction_id)
            if extraction.ready:
                extracted_data = extraction.data
                if extracted_data.success:
                    print(extracted_data)
                    break
                else:
                    raise Exception(extracted_data.error)
            print("Waiting for extraction to complete...")
            time.sleep(1)