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Add Unstructured file converter (#61)
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* first skeleton

* add fileconverter

* first tests

* more tests

* fix format

* add workflow

* fix workflow

* change labeler

* fix mypy

* fix format

* mypy

* path to str

* try to fix coverage path

* another path to str

* rm from_dict

* add entry to general README

* rm test_from_dict

* try using services

* rm leftover

* mv file_converters to converters

* update pyproject

* update workflow
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anakin87 authored Nov 23, 2023
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4 changes: 3 additions & 1 deletion .github/labeler.yml
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# Integrations
integration:instructor-embedders:
- components/instructor-embedders/**/*
- components/embedders/instructor-embedders/**/*
integration:unstructured-fileconverter:
- components/converters/unstructured_fileconverter/**/*
integration:chroma:
- document_stores/chroma/**/*
integration:elasticsearch:
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59 changes: 59 additions & 0 deletions .github/workflows/components_unstructured_fileconverter.yml
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# This workflow comes from https://github.com/ofek/hatch-mypyc
# https://github.com/ofek/hatch-mypyc/blob/5a198c0ba8660494d02716cfc9d79ce4adfb1442/.github/workflows/test.yml
name: Test / Components / unstructured-fileconverter

on:
schedule:
- cron: "0 0 * * *"
pull_request:
paths:
- "components/converters/unstructured_fileconverter/**"
- ".github/workflows/components_unstructured_fileconverter.yml"

concurrency:
group: components_unstructured_fileconverter-${{ github.head_ref }}
cancel-in-progress: true

env:
PYTHONUNBUFFERED: "1"
FORCE_COLOR: "1"

jobs:
run:
name: Python ${{ matrix.python-version }} on ${{ startsWith(matrix.os, 'macos-') && 'macOS' || startsWith(matrix.os, 'windows-') && 'Windows' || 'Linux' }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
python-version: ["3.8", "3.9", "3.10", "3.11"]
services:
unstructured-api:
image: "quay.io/unstructured-io/unstructured-api:latest"
ports:
- 8000:8000
options: >-
--health-cmd "curl --fail http://localhost:8000/healthcheck || exit 1"
--health-interval 10s
--health-timeout 1s
--health-retries 10
steps:
- uses: actions/checkout@v4

- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}

- name: Install Hatch
run: pip install --upgrade hatch

- name: Lint
working-directory: components/converters/unstructured_fileconverter
if: matrix.python-version == '3.9'
run: hatch run lint:all

- name: Run tests
working-directory: components/converters/unstructured_fileconverter
run: hatch run cov
1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -8,6 +8,7 @@ onwards. The code in this repo is maintained by [deepset](https://www.deepset.ai
| [chroma-haystack](document_stores/chroma/) | Document Store | [![PyPI - Version](https://img.shields.io/pypi/v/chroma-haystack.svg)](https://pypi.org/project/chroma-haystack) | [![Test / Document Stores / chroma](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/document_stores_chroma.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/document_stores_chroma.yml) |
| [elasticsearch-haystack](document_stores/elasticsearch/) | Document Store | [![PyPI - Version](https://img.shields.io/pypi/v/elasticsearch-haystack.svg)](https://pypi.org/project/elasticsearch-haystack) | [![Test / Document Stores / elasticsearch](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/document_stores_elasticsearch.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/document_stores_elasticsearch.yml) |
| [instructor-embedders-haystack](components/embedders/instructor-embedders/) | Embedder | [![PyPI - Version](https://img.shields.io/pypi/v/instructor-embedders-haystack.svg)](https://pypi.org/project/instructor-embedders-haystack) | [![Test / instructor-embedders](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/components_instructor_embedders.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/components_instructor_embedders.yml) |
| [unstructured-fileconverter-haystack](components/converters/unstructured_fileconverter/) | File converter | [![PyPI - Version](https://img.shields.io/pypi/v/unstructured-fileconverter-haystack.svg)](https://pypi.org/project/unstructured-fileconverter-haystack) | [![Test / unstructured-fileconverter](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/components_unstructured_fileconverter.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/components_unstructured_fileconverter.yml)

## Contributing

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201 changes: 201 additions & 0 deletions components/converters/unstructured_fileconverter/LICENSE
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86 changes: 86 additions & 0 deletions components/converters/unstructured_fileconverter/README.md
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# Unstructured FileConverter for Haystack

<!-- This is temporary and will be moved to https://github.com/deepset-ai/haystack-integrations -->

Component for the Haystack (2.x) LLM framework to easily convert files and directories into Documents using the Unstructured API.

**[Unstructured](https://unstructured-io.github.io/unstructured/index.html)** provides a series of tools to do **ETL for LLMs**. This component calls the Unstructured API that simply extracts text and other information from a vast range of file formats.
**[Supported file types](https://unstructured-io.github.io/unstructured/api.html#supported-file-types)**.

**[Haystack](https://github.com/deepset-ai/haystack)** is an **orchestration framework** to build customizable, production-ready **LLM applications**.
Once your files are converted into Documents, you can start building RAG, question answering, semantic search applications and more.

- [Installation](#installation)
- [Usage](#usage)
- [Configuration](#configuration)

## Installation

```bash
pip install unstructured-fileconverter-haystack
```

### Hosted API
If you plan to use the hosted version of the Unstructured API, you just need the **(free) Unsctructured API key**. You can get it by signing up [here](https://unstructured.io/api-key).

### Local API (Docker)
If you want to run your own local instance of the Unstructured API, you need Docker and you can find instructions [here](https://unstructured-io.github.io/unstructured/api.html#using-docker-images).

In short, this should work:
```bash
docker run -p 8000:8000 -d --rm --name unstructured-api quay.io/unstructured-io/unstructured-api:latest --port 8000 --host 0.0.0.0
```

## Usage

### In isolation
```python
import os
from unstructured_fileconverter_haystack import UnstructuredFileConverter

os.environ["UNSTRUCTURED_API_KEY"] = "YOUR-API-KEY"

converter = UnstructuredFileConverter()

documents = converter.run(paths = ["a/file/path.pdf", "a/directory/path"])["documents"]

```

### In a Haystack Pipeline
```python
import os
from haystack.preview import Pipeline
from haystack.preview.components.writers import DocumentWriter
from haystack.preview.document_stores import MemoryDocumentStore
from unstructured_fileconverter_haystack import UnstructuredFileConverter

os.environ["UNSTRUCTURED_API_KEY"] = "YOUR-API-KEY"

document_store = MemoryDocumentStore()

indexing = Pipeline()
indexing.add_component("converter", UnstructuredFileConverter())
indexing.add_component("writer", DocumentWriter(document_store))
indexing.connect("converter", "writer")

indexing.run({"converter": {"paths": ["a/file/path.pdf", "a/directory/path"]}})
```

## Configuration

### Initialization parameters
- `api_url`: URL of the Unstructured API. Defaults to the hosted version. If you run the API locally, you should specify this parameter.
- `api_key`: API key for the Unstructured API (https://unstructured.io/#get-api-key).
If you run the API locally, it is not needed.
If you use the hosted version, it defaults to the environment variable UNSTRUCTURED_API_KEY.
- `document_creation_mode`: How to create Haystack Documents from the elements returned by Unstructured.
- `"one-doc-per-file"`: One Haystack Document per file. All elements are concatenated into one text field.
- `"one-doc-per-page"`: One Haystack Document per page. All elements on a page are concatenated into one text field.
- `"one-doc-per-element"`: One Haystack Document per element. Each element is converted to a Haystack Document
- `separator`: Separator between elements when concatenating them into one text field.
- `unstructured_kwargs`: Additional keyword arguments that are passed to the Unstructured API. They can be helpful to improve or speed up the conversion. See https://unstructured-io.github.io/unstructured/api.html#parameters.

### `run` method
The method `run` just expects a list of paths (files or directories) in the `paths` parameter.

If `paths` contains a directory, all files in the first level of the directory are converted. Subdirectories are ignored.
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