Skip to main content

No project description provided

Project description

DocChain

This package can be used to generate complex structured documents from Specs using LLMm models.

Document is an abstraction that represent generated data, e.g. it could be any text data in markdown or HTML, configuration in JSON, YAML or other formats, Python objects or classes, or any other data that can be generated by LLMs.

Spec contains document requirements. It holds general information about the generated document.

Section is a composite part of a Document. Document itself is a Section. Such design allows inclusion of Documents inside another documents.

Generator generates Document from the provided Spec. Each generator can be configured with a list of steps that are executed before or after generation.

Middleware is a callable that can modify Spec or the generated Documents. It acts the same as middleware in an HTTP framework, it can be used for variety of tasks. E.g. transforming, formatting or linting generated document ot its parts.

TODO

  • Store stats in an SQLite database.
  • Blocks for HTML, Markdown, Python, one line Python, templates.
  • Add middleware to plan steps.

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

docchain-0.0.7.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

docchain-0.0.7-py3-none-any.whl (12.9 kB view details)

Uploaded Python 3

File details

Details for the file docchain-0.0.7.tar.gz.

File metadata

  • Download URL: docchain-0.0.7.tar.gz
  • Upload date:
  • Size: 7.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for docchain-0.0.7.tar.gz
Algorithm Hash digest
SHA256 a6c24772d7b4d350edc37f96581ff1097ab4efea545787e5ad5994206868ca16
MD5 f2ec52eb3100faca9c81da84e0690dd5
BLAKE2b-256 ce75e8f303eab72699fedacdee8b33b407df659bada75909a02984cae988d516

See more details on using hashes here.

File details

Details for the file docchain-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: docchain-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 12.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for docchain-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a28e36d68e60c8ac4cb3346589fbc270767f5c1b095b23aca7a5635d98f077f5
MD5 b69809a631603693230fec5137667b1f
BLAKE2b-256 455ae91e836c27e4d04ff065ed291c751ce4a274d01335d91712b0aa9f0244a5

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