Skip to main content

Quill SDK for Python.

Project description

Quill Python SDK

Quickstart

First, install the quillsql package by running:

$ pip install quillsql

Then, add a /quill endpoint to your existing python server. For example, if you were running a FASTAPI app, you would just add the endpoint like this:

from quillsql import Quill

quill = None

@app.on_event("startup")
async def startup_event():
    global quill
    quill = await Quill.create(
        private_key=os.getenv("QULL_PRIVATE_KEY"),
        database_connection_string=os.getenv("POSTGRES_READ"),
        database_type="postgresql"
    )

@app.on_event("shutdown")
async def shutdown_event():
    if quill is not None:
        await quill.aclose()

security = HTTPBearer()

async def authenticate_jwt(token: str = Depends(security)):
    # Your JWT validation logic here
    # Return user object or raise HTTPException
    user = validate_jwt_token(token.credentials)
    return user

@app.post("/quill")
async def quill_post(data: Request, user: dict = Depends(authenticate_jwt)):
    # assuming user fetched via auth middleware has an userId
    user_id = user["user_id"]
    body = await data.json()
    metadata = body.get("metadata")

    result = await quill.query(
        tenants=[{"tenantField": "user_id", "tenantIds": [user_id]}],
        metadata=metadata
    )
    return result

Then you can run your app like normally. Pass in this route to our react library on the frontend and you all set!

Streaming

from quillsql import Quill
from fastapi.responses import StreamingResponse
import asyncio

quill = None

@app.on_event("startup")
async def startup_event():
    global quill
    quill = await Quill.create(
        private_key=os.getenv("QULL_PRIVATE_KEY"),
        database_connection_string=os.getenv("POSTGRES_READ"),
        database_type="postgresql"
    )

@app.on_event("shutdown")
async def shutdown_event():
    if quill is not None:
        await quill.aclose()

@app.post("/quill-stream")
async def quill_post(data: Request, user: dict = Depends(authenticate_jwt)):
    # assuming user fetched via auth middleware has an userId
    user_id = user["user_id"]
    body = await data.json()
    metadata = body.get("metadata")

    quill_stream = quill.stream(
        tenants=[{"tenantField": "user_id", "tenantIds": [user_id]}],
        metadata=metadata,
    )

    async def event_generator():
        # Full event types list: https://ai-sdk.dev/docs/ai-sdk-ui/stream-protocol#data-stream-protocol
        async for event in quill_stream:
            if event["type"] == "start":
                pass
            elif event["type"] == "text-delta":
                yield event['delta']
            elif event["type"] == "finish":
                return
            elif event["type"] == "error":
                yield event['errorText']
            await asyncio.sleep(0)

    return StreamingResponse(event_generator(), media_type="text/event-stream")

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

quillsql-3.0.1.tar.gz (31.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quillsql-3.0.1-py3-none-any.whl (32.6 kB view details)

Uploaded Python 3

File details

Details for the file quillsql-3.0.1.tar.gz.

File metadata

  • Download URL: quillsql-3.0.1.tar.gz
  • Upload date:
  • Size: 31.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.6

File hashes

Hashes for quillsql-3.0.1.tar.gz
Algorithm Hash digest
SHA256 ca01d649915193bf8ab0328e48c3e04066896864606f7104b6425dc74fb6ad16
MD5 c7929a7d1c738423fe2aa05a8a0cdb44
BLAKE2b-256 639a011988b6b2e98ca24c331c6cedede782f863dffabe35da42f64fd570e172

See more details on using hashes here.

File details

Details for the file quillsql-3.0.1-py3-none-any.whl.

File metadata

  • Download URL: quillsql-3.0.1-py3-none-any.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.6

File hashes

Hashes for quillsql-3.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 762b17638108047d5786808af1779fccfecf601d86d8692926c4b58a1e8eaf46
MD5 127a70d7c59dc55633ab1a95482f5371
BLAKE2b-256 482af1c2d71c68ece7c14e2a935c0e6992846adbafb73c4f3792e40905426369

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page