FastSTAN
Easily deploy NATS Streaming subscribers using Python.
Features
- Define subscribers using sync and async python functions
- Automatic data parsing and validation using type annotations and pydantic
- Support custom validation using any function
- Allow several subscribers on same channel
- Support all subscription configuration available in stan.py
- Healthcheck available using HTTP GET request to monitor the applications
- (TODO) Metrics available using HTTP GET requests to monitor subsriptions status
- All of FastAPI features
Quick start
- Install the package from pypi:
pip install faststan
- Create your first subscriber:
from faststan.faststan import FastSTAN
app = FastSTAN()
@app.subscribe("demo")
def on_event(message: str):
print(f"INFO :: Received new message: {message}")
- Start your subscriber:
uvicorn app:app
Advanced features
Using error callbacks
from faststan.faststan import FastSTAN
app = FastSTAN()
def handle_error(error):
print("ERROR: {error}")
@app.subscribe("demo", error_cb=handle_error)
def on_event(message: str):
print(f"INFO :: Received new message: {message}")
Using pydantic models
You can use pydantic models in order to automatically parse incoming messages:
from pydantic import BaseModel
from faststan.faststan import FastSTAN
class Event(BaseModel):
timestamp: int
temperature: float
humidity: float
app = FastSTAN()
@app.subscribe("event")
def on_event(event):
msg = f"INFO :: {event.timestamp} :: Temperature: {event.temperature} | Humidity: {event.humidity}"
print(msg)
Release files for faststan 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| faststan-0.1.2.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| faststan-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.8 kB
Release files / faststan-0.1.2.tar.gz
| Download URL | faststan-0.1.2.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.0.10 CPython/3.7.5 Linux/4.4.0-17763-Microsoft
|
Release files / faststan-0.1.2-py3-none-any.whl
| Download URL | faststan-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.0.10 CPython/3.7.5 Linux/4.4.0-17763-Microsoft
|