llama-index-readers-oracleai

Name	llama-index-readers-oracleai JSON
Version	0.1.1 JSON
	download
home_page	None
Summary	llama-index readers oracleai integration
upload_time	2024-10-15 01:45:49
maintainer	None
docs_url	None
author	Your Name
requires_python	<4.0,>=3.8.1
license	MIT
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # LlamaIndex Readers Integration: Oracleai

There are two classes here:

- OracleReader: This API is to load document(s) from a file or a directory or a Oracle Database table.
- OracleTextSplitter: This API is to split a document into chunks with a lots of customizations.

`pip install llama-index-readers-oracleai`

# A sample example

```python
# get the Oracle connection
conn = oracledb.connect(
    user="",
    password="",
    dsn="",
)
print("Oracle connection is established...")

# params
loader_params = {"owner": "ut", "tablename": "demo_tab", "colname": "data"}
splitter_params = {"by": "words", "max": "100"}

# instances
loader = OracleReader(conn=conn, params=loader_params)
splitter = OracleTextSplitter(conn=conn, params=splitter_params)

print("Processing the documents...")
docs = loader.load()
for id, doc in enumerate(docs, start=1):
    print(f"Document#{id}, Metadata: {doc.metadata}")
    chunks = splitter.split_text(doc.text)
    print(f"Document#{id}, Num of Chunk: {len(chunks)}\n")

conn.close()
print("Connection is closed.")
```

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "llama-index-readers-oracleai",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.8.1",
    "maintainer_email": null,
    "keywords": null,
    "author": "Your Name",
    "author_email": "you@example.com",
    "download_url": "https://files.pythonhosted.org/packages/4f/d7/918fc472a06c6ace4efffd196bdd8ecc157dc17415e610fb7ceb5ec7e09f/llama_index_readers_oracleai-0.1.1.tar.gz",
    "platform": null,
    "description": "# LlamaIndex Readers Integration: Oracleai\n\nThere are two classes here:\n\n- OracleReader: This API is to load document(s) from a file or a directory or a Oracle Database table.\n- OracleTextSplitter: This API is to split a document into chunks with a lots of customizations.\n\n`pip install llama-index-readers-oracleai`\n\n# A sample example\n\n```python\n# get the Oracle connection\nconn = oracledb.connect(\n    user=\"\",\n    password=\"\",\n    dsn=\"\",\n)\nprint(\"Oracle connection is established...\")\n\n# params\nloader_params = {\"owner\": \"ut\", \"tablename\": \"demo_tab\", \"colname\": \"data\"}\nsplitter_params = {\"by\": \"words\", \"max\": \"100\"}\n\n# instances\nloader = OracleReader(conn=conn, params=loader_params)\nsplitter = OracleTextSplitter(conn=conn, params=splitter_params)\n\nprint(\"Processing the documents...\")\ndocs = loader.load()\nfor id, doc in enumerate(docs, start=1):\n    print(f\"Document#{id}, Metadata: {doc.metadata}\")\n    chunks = splitter.split_text(doc.text)\n    print(f\"Document#{id}, Num of Chunk: {len(chunks)}\\n\")\n\nconn.close()\nprint(\"Connection is closed.\")\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "llama-index readers oracleai integration",
    "version": "0.1.1",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "db39e33be65a96aee3a6755e2559ee87dd875e1f09e403f50f64f9e0134f018c",
                "md5": "48ddf4279e51dbfce2bd94c9cd13a75f",
                "sha256": "2f3109d4526d363c5b0290b511eaea430809e7f5c5d2ed7c6fe64df36f203e07"
            },
            "downloads": -1,
            "filename": "llama_index_readers_oracleai-0.1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "48ddf4279e51dbfce2bd94c9cd13a75f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.8.1",
            "size": 5567,
            "upload_time": "2024-10-15T01:45:47",
            "upload_time_iso_8601": "2024-10-15T01:45:47.763828Z",
            "url": "https://files.pythonhosted.org/packages/db/39/e33be65a96aee3a6755e2559ee87dd875e1f09e403f50f64f9e0134f018c/llama_index_readers_oracleai-0.1.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4fd7918fc472a06c6ace4efffd196bdd8ecc157dc17415e610fb7ceb5ec7e09f",
                "md5": "67dda2cb0a36c575185c52772df18655",
                "sha256": "4fb62b59e26eea5b0e43d9cb1b914f788155071c19b1b713e86cdfe3b066f338"
            },
            "downloads": -1,
            "filename": "llama_index_readers_oracleai-0.1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "67dda2cb0a36c575185c52772df18655",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.8.1",
            "size": 5185,
            "upload_time": "2024-10-15T01:45:49",
            "upload_time_iso_8601": "2024-10-15T01:45:49.038752Z",
            "url": "https://files.pythonhosted.org/packages/4f/d7/918fc472a06c6ace4efffd196bdd8ecc157dc17415e610fb7ceb5ec7e09f/llama_index_readers_oracleai-0.1.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-15 01:45:49",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "llama-index-readers-oracleai"
}