llama-index-readers-boarddocs


Namellama-index-readers-boarddocs JSON
Version 0.3.0 PyPI version JSON
download
home_pageNone
Summaryllama-index readers boarddocs integration
upload_time2024-11-18 00:20:40
maintainerdweekly
docs_urlNone
authorYour Name
requires_python<4.0,>=3.9
licenseMIT
keywords board boarddocs
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # BoardDocs Loader

```bash
pip install llama-index-readers-boarddocs
```

This loader retrieves an agenda and associated material from a BoardDocs site.

This loader is not endorsed by, developed by, supported by, or in any way formally affiliated with Diligent Corporation.

## Usage

To use this loader, you'll need to specify which BoardDocs site you want to load,
as well as the committee on the site you want to scrape.

```python
from llama_index.readers.boarddocs import BoardDocsReader

# For a site URL https://go.boarddocs.com/ca/redwood/Board.nsf/Public
# your site should be set to 'ca/redwood'
# You'll also need to specify which committee on the site you want to index,
# in this case A4EP6J588C05 is the Board of Trustees meeting.
loader = BoardDocsReader(site="ca/redwood", committee_id="A4EP6J588C05")

# You can optionally specify to load a specific set of meetings; if you don't
# pass in meeting_ids, the loader will attempt to load *all* meeting content.
# Since we're actually scraping a site, this can take a little while.
documents = loader.load_data(meeting_ids=["CPSNV9612DF1"])
```

This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "llama-index-readers-boarddocs",
    "maintainer": "dweekly",
    "docs_url": null,
    "requires_python": "<4.0,>=3.9",
    "maintainer_email": null,
    "keywords": "board, boarddocs",
    "author": "Your Name",
    "author_email": "you@example.com",
    "download_url": "https://files.pythonhosted.org/packages/7e/01/98fe8e2d6ba121982424c4c8c76ab06dffbfe44773817b48f9dc77f5708d/llama_index_readers_boarddocs-0.3.0.tar.gz",
    "platform": null,
    "description": "# BoardDocs Loader\n\n```bash\npip install llama-index-readers-boarddocs\n```\n\nThis loader retrieves an agenda and associated material from a BoardDocs site.\n\nThis loader is not endorsed by, developed by, supported by, or in any way formally affiliated with Diligent Corporation.\n\n## Usage\n\nTo use this loader, you'll need to specify which BoardDocs site you want to load,\nas well as the committee on the site you want to scrape.\n\n```python\nfrom llama_index.readers.boarddocs import BoardDocsReader\n\n# For a site URL https://go.boarddocs.com/ca/redwood/Board.nsf/Public\n# your site should be set to 'ca/redwood'\n# You'll also need to specify which committee on the site you want to index,\n# in this case A4EP6J588C05 is the Board of Trustees meeting.\nloader = BoardDocsReader(site=\"ca/redwood\", committee_id=\"A4EP6J588C05\")\n\n# You can optionally specify to load a specific set of meetings; if you don't\n# pass in meeting_ids, the loader will attempt to load *all* meeting content.\n# Since we're actually scraping a site, this can take a little while.\ndocuments = loader.load_data(meeting_ids=[\"CPSNV9612DF1\"])\n```\n\nThis loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "llama-index readers boarddocs integration",
    "version": "0.3.0",
    "project_urls": null,
    "split_keywords": [
        "board",
        " boarddocs"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "cfd581202481485af86315db0868876a9716a17f05ccaf7974a548d125ed90bd",
                "md5": "ae2a24beb9e01c984c4fe2a24b5e813f",
                "sha256": "0722b9ba4aa17fa901c1b438c9ff3a7523dcb58de86406162d4fe5d4353f8cf6"
            },
            "downloads": -1,
            "filename": "llama_index_readers_boarddocs-0.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ae2a24beb9e01c984c4fe2a24b5e813f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.9",
            "size": 3794,
            "upload_time": "2024-11-18T00:20:39",
            "upload_time_iso_8601": "2024-11-18T00:20:39.214914Z",
            "url": "https://files.pythonhosted.org/packages/cf/d5/81202481485af86315db0868876a9716a17f05ccaf7974a548d125ed90bd/llama_index_readers_boarddocs-0.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7e0198fe8e2d6ba121982424c4c8c76ab06dffbfe44773817b48f9dc77f5708d",
                "md5": "2a000c3f5f67a3f3cf3047e21ab65086",
                "sha256": "52a9ee940f9d925ccfcdeb8d62df11c8a806cde2d08fd18de8f2769adaacde9f"
            },
            "downloads": -1,
            "filename": "llama_index_readers_boarddocs-0.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "2a000c3f5f67a3f3cf3047e21ab65086",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.9",
            "size": 3503,
            "upload_time": "2024-11-18T00:20:40",
            "upload_time_iso_8601": "2024-11-18T00:20:40.081994Z",
            "url": "https://files.pythonhosted.org/packages/7e/01/98fe8e2d6ba121982424c4c8c76ab06dffbfe44773817b48f9dc77f5708d/llama_index_readers_boarddocs-0.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-18 00:20:40",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "llama-index-readers-boarddocs"
}
        
Elapsed time: 3.06978s