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AcodisApiHandler

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A simple API handler for Python

acodisapihandlerpython
Versions collected1
Direct dependencies2From release 0.3.7
Last observed20 Oct, 18:20 UTC

README

Version 0.3.7 documentation

Acodis API Handler

This package provides easy to use python classes and functions to communicate with Acodis API (https://acodis.io). Acodis is an IDP solution that focuses on extracting and structuring complex documents (PDFs, Images)

Installation

pip install AcodisApiHandler

Usage

This package is particularly useful for programmatic access, since ACODIS' API structure requires a different user and password for every export step. Hence, if you have to manage multiple exports (e.g. multiple workflows), you just need to update the main class user and password attribute, and call the authenticate() method.

from AcodisApiHandler import AcodisApiHandler

# Set up your credentials
ACODIS_BASE_URL = "https://<YOUR-ACOIDS-INSTANCE-URL>/workbench/api/transaction"
ACODIS_USER = "<YOUR-EXPORT-USERNAME>"
ACODIS_PASSWORD = "<YOUR-EXPORT-PASSWORD>"

# Create an instance of the AcodisApiHandler class
handler = AcodisApiHandler(ACODIS_BASE_URL)

# Set the credentials
handler.user = ACODIS_USER
handler.password = ACODIS_PASSWORD

# Authenticate with the API
handler.authenticate()

handler.workflow(pdf_path="<PATH-TO-PDF-FILE>")

# The extraction result is an ElementTree XML object stored in the handler.result variable
# You can check it by:
print(handler.result)

Utils

This package also provides some utils to help you with the extraction process.

Extracting tagged data points

Tags are used to identify the data points that you want to extract from the document. This function will create a dictionary with the tags as keys and the extracted data as values.

from AcodisApiHandler import extract_tags

tags_list = ["example_tag_1", "example_tag_1", "example_tag_1"]

# Using the precviously created handler instance
tagged_data = extract_tags(handler, tags_list)

If we print the tagged_data variable we will get:

{
    "example_tag_1": "Example data 1",
    "example_tag_2": "Example data 2",
    "example_tag_3": "Example data 3"
}

License

MIT

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Roadmap

  • Additional utils: parsing tables, extracting images, etc.
  • Add unit tests
  • Add batch processing and parallelization

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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
0.3.718 Jan 20242

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Observed since 20 Oct, 18:20 UTC

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package:f9934121623b55b7214afc03a3ca1ac4b14d4552dbaa74ad07a2c6b258685057