unstract-sdk


Nameunstract-sdk JSON
Version 0.53.0 PyPI version JSON
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home_pageNone
SummaryA framework for writing Unstract Tools/Apps
upload_time2024-11-11 06:27:06
maintainerNone
docs_urlNone
authorNone
requires_python<3.11.1,>=3.9
licenseAGPL v3
keywords unstract tools-development-kit apps development-kit sdk
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            <div align="center">
<img src="https://raw.githubusercontent.com/Zipstack/unstract-sdk/main/docs/assets/unstract_u_logo.png" style="height: 120px">

# Unstract

## No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

</div>

# Unstract SDK

The `unstract-sdk` package helps with developing tools that are meant to be run on the Unstract platform. This includes
modules to help with tool development and execution, caching, making calls to LLMs / vectorDBs / embeddings .etc.
They also contain helper methods/classes to aid with other tasks such as indexing and auditing the LLM calls.

## Installation

- The below libraries need to be installed to run the SDK
  - Linux

    ```
    sudo apt install build-essential pkg-config libmagic-dev tesseract-ocr pandoc
    ```

  - Mac

    ```
    brew install pkg-config libmagic pandoc tesseract-ocr
    ```

## Tools

### Create a scaffolding for a new tool

Example

```bash
unstract-tool-gen --command NEW --tool-name <name of tool> \
 --location ~/path_to_repository/unstract-tools/ --overwrite false
```

Supported commands:

- `NEW` - Create a new tool

### Environment variables required for all Tools

| Variable                   | Description                                                           |
| -------------------------- | --------------------------------------------------------------------- |
| `PLATFORM_SERVICE_HOST`    | The host in which the platform service is running                     |
| `PLATFORM_SERVICE_PORT`    | The port in which the service is listening                            |
| `PLATFORM_SERVICE_API_KEY` | The API key for the platform                                          |
| `TOOL_DATA_DIR`            | The directory in the filesystem which has contents for tool execution |

### Llama Index support

Unstract SDK 0.3.2 uses the following version of Llama
Index Version **0.9.28** as on January 14th, 2024

### Developing with the SDK

Ensure that you have all the required dependencies and pre-commit hooks installed
```shell
pdm install
pre-commit install
```

Once the changes have been made, it can be tested with [Unstract](https://github.com/Zipstack/unstract) through the following means.

#### With PDM
Specify the SDK as a dependency to a project using a tool like `pdm` by adding the following to your `pyproject.toml`

```toml
[tool.pdm.dev-dependencies]
local_copies = [
    "-e unstract-adapters @ file:///${UNSTRACT_ADAPTERS_PATH}",
    "-e unstract-sdk @ file:///${UNSTRACT_SDK_PATH}",
]
```
Or by running the below command
```shell
pdm add -e /path/to/unstract-sdk --dev
```

#### With pip
- If the project is using `pip` it might be possible to add it as a dependency in `requirements.txt`
```
-e /path/to/unstract-sdk
```
NOTE: Building locally might require the below section to be replaced in the `unstract-sdk`'s build system configuration
```
[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
```
- Another option is to provide a git URL in `requirements.txt`, this can come in handy while building tool
docker images. Don't forget to run `apt install git` within the `Dockerfile` for this
```shell
unstract-sdk @ git+https://github.com/Zipstack/unstract-sdk@feature-branch
```

- Or try installing a [local PyPI server](https://pypi.org/project/pypiserver/) and upload / download your package from this server

### Environment variables required for various LLMs (deprecated)

- Azure OpenAI
  - `OPENAI_API_KEY`
  - `OPENAI_API_BASE`
  - `OPENAI_API_VERSION`
  - `OPENAI_API_ENGINE`
  - `OPENAI_API_MODEL`

### Documentation generation

Follow [this README.md](https://github.com/Zipstack/unstract-sdk/blob/main/docs/README.md) for generating documentation.

            

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    "description": "<div align=\"center\">\n<img src=\"https://raw.githubusercontent.com/Zipstack/unstract-sdk/main/docs/assets/unstract_u_logo.png\" style=\"height: 120px\">\n\n# Unstract\n\n## No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents\n\n</div>\n\n# Unstract SDK\n\nThe `unstract-sdk` package helps with developing tools that are meant to be run on the Unstract platform. This includes\nmodules to help with tool development and execution, caching, making calls to LLMs / vectorDBs / embeddings .etc.\nThey also contain helper methods/classes to aid with other tasks such as indexing and auditing the LLM calls.\n\n## Installation\n\n- The below libraries need to be installed to run the SDK\n  - Linux\n\n    ```\n    sudo apt install build-essential pkg-config libmagic-dev tesseract-ocr pandoc\n    ```\n\n  - Mac\n\n    ```\n    brew install pkg-config libmagic pandoc tesseract-ocr\n    ```\n\n## Tools\n\n### Create a scaffolding for a new tool\n\nExample\n\n```bash\nunstract-tool-gen --command NEW --tool-name <name of tool> \\\n --location ~/path_to_repository/unstract-tools/ --overwrite false\n```\n\nSupported commands:\n\n- `NEW` - Create a new tool\n\n### Environment variables required for all Tools\n\n| Variable                   | Description                                                           |\n| -------------------------- | --------------------------------------------------------------------- |\n| `PLATFORM_SERVICE_HOST`    | The host in which the platform service is running                     |\n| `PLATFORM_SERVICE_PORT`    | The port in which the service is listening                            |\n| `PLATFORM_SERVICE_API_KEY` | The API key for the platform                                          |\n| `TOOL_DATA_DIR`            | The directory in the filesystem which has contents for tool execution |\n\n### Llama Index support\n\nUnstract SDK 0.3.2 uses the following version of Llama\nIndex Version **0.9.28** as on January 14th, 2024\n\n### Developing with the SDK\n\nEnsure that you have all the required dependencies and pre-commit hooks installed\n```shell\npdm install\npre-commit install\n```\n\nOnce the changes have been made, it can be tested with [Unstract](https://github.com/Zipstack/unstract) through the following means.\n\n#### With PDM\nSpecify the SDK as a dependency to a project using a tool like `pdm` by adding the following to your `pyproject.toml`\n\n```toml\n[tool.pdm.dev-dependencies]\nlocal_copies = [\n    \"-e unstract-adapters @ file:///${UNSTRACT_ADAPTERS_PATH}\",\n    \"-e unstract-sdk @ file:///${UNSTRACT_SDK_PATH}\",\n]\n```\nOr by running the below command\n```shell\npdm add -e /path/to/unstract-sdk --dev\n```\n\n#### With pip\n- If the project is using `pip` it might be possible to add it as a dependency in `requirements.txt`\n```\n-e /path/to/unstract-sdk\n```\nNOTE: Building locally might require the below section to be replaced in the `unstract-sdk`'s build system configuration\n```\n[build-system]\nrequires = [\"setuptools\", \"wheel\"]\nbuild-backend = \"setuptools.build_meta\"\n```\n- Another option is to provide a git URL in `requirements.txt`, this can come in handy while building tool\ndocker images. Don't forget to run `apt install git` within the `Dockerfile` for this\n```shell\nunstract-sdk @ git+https://github.com/Zipstack/unstract-sdk@feature-branch\n```\n\n- Or try installing a [local PyPI server](https://pypi.org/project/pypiserver/) and upload / download your package from this server\n\n### Environment variables required for various LLMs (deprecated)\n\n- Azure OpenAI\n  - `OPENAI_API_KEY`\n  - `OPENAI_API_BASE`\n  - `OPENAI_API_VERSION`\n  - `OPENAI_API_ENGINE`\n  - `OPENAI_API_MODEL`\n\n### Documentation generation\n\nFollow [this README.md](https://github.com/Zipstack/unstract-sdk/blob/main/docs/README.md) for generating documentation.\n",
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