watchup 0.1.0

Official Watchup SDK for Python — error tracking, request tracing, and custom analytics

watchup

Official Python SDK for Watchup — error tracking, request tracing, and custom analytics for Python web applications.

Works with Flask, Django, FastAPI, and any WSGI framework. Zero required dependencies — uses the Python standard library only.

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Installation

pip install watchup

Requires Python 3.9+.

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Quick start

from watchup import Watchup

watchup = Watchup(
    api_key="wup_live_xxxxxxxxxxxx",   # Dashboard → Project Settings → API Keys
    environment="production",
    release="v1.2.3",                  # optional: git SHA or version tag
)

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Flask

from flask import Flask
from watchup import Watchup

watchup = Watchup(api_key="wup_live_xxxxxxxxxxxx")
app = Flask(__name__)

watchup.init_app(app)   # registers before_request, after_request, errorhandler hooks

init_app wires up:

• Request tracing — every request is recorded with method, route, status code, and duration
• Error capture — unhandled exceptions are reported with stack trace and request context
• Transparent re-raise — errors still propagate to your own error handlers

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Django

Add WatchupDjangoMiddleware to your MIDDLEWARE list and set WATCHUP_API_KEY in settings.py:

# settings.py
MIDDLEWARE = [
    "watchup.WatchupDjangoMiddleware",
    # ... rest of your middleware
]

WATCHUP_API_KEY     = "wup_live_xxxxxxxxxxxx"
WATCHUP_ENVIRONMENT = "production"  # optional
WATCHUP_RELEASE     = "v1.2.3"     # optional

The middleware initialises the client once on first request and reuses it for the lifetime of the process.

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FastAPI / Starlette

Use the WSGI wrapper or instrument manually with before / after logic via Starlette middleware:

from fastapi import FastAPI, Request
from watchup import Watchup
import time

watchup = Watchup(api_key="wup_live_xxxxxxxxxxxx")
app = FastAPI()

@app.middleware("http")
async def watchup_middleware(request: Request, call_next):
    start = time.time()
    response = await call_next(request)
    ms = (time.time() - start) * 1000
    # record trace manually
    end = watchup.start_trace(f"{request.method} {request.url.path}")
    end()
    return response

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WSGI middleware (framework-agnostic)

from watchup import Watchup, WatchupWSGI

watchup = Watchup(api_key="wup_live_xxxxxxxxxxxx")

# Flask example
from flask import Flask
flask_app = Flask(__name__)
flask_app.wsgi_app = WatchupWSGI(flask_app.wsgi_app, watchup)

# Any WSGI app
application = WatchupWSGI(application, watchup)

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Manual tracking

Capture an error

try:
    process_order(order_id)
except Exception as exc:
    watchup.capture_error(exc, route="job.process_order", order_id=order_id)

Track a custom event

watchup.track("user.signed_up", {"plan": "pro", "source": "invite"})
watchup.track("order.placed", {"amount": 4999, "currency": "NGN"})

Time an operation

end = watchup.start_trace("db.query_users")
try:
    rows = db.query("SELECT * FROM users")
    end()                       # status defaults to "ok"
except Exception as exc:
    end(status="err", meta={"query": "SELECT * FROM users"})
    raise

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User identification

Attach user identity to errors and traces:

# After authentication — in a middleware or login view
watchup.set_user("usr_42", email="[e-mail]", name="Alice", plan="pro")

# On logout
watchup.clear_user()

Once set, every capture_error, start_trace, and request trace will include the user context.

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Configuration reference

Parameter	Default	Description
api_key	(required)	Project API key (wup_live_…)
base_url	https://api.watchup.site	Override for self-hosted deployments
environment	WATCHUP_ENV env var, or "production"	Runtime label on every payload
release	None	App version / git SHA
flush_interval	5.0	Seconds between automatic flushes
max_batch_size	100	Item count that triggers an immediate flush
sample_rate	1.0	Fraction of requests to trace (0–1)
debug	False	Log SDK warnings to stderr

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Lifecycle

# Force an immediate flush
watchup.flush()

# Stop the background timer and flush remaining items (graceful shutdown)
watchup.shutdown()

The batcher runs on a daemon thread and registers an atexit handler, so queued items are flushed automatically when the process exits normally.

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Links

• Website: watchup.site
• Documentation: watchup.site/docs
• Python SDK docs: watchup.site/docs/sdks/python
• Getting started: watchup.site/docs/getting-started
• Pricing: watchup.site/pricing
• Dashboard: app.watchup.site

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License

MIT © Watchup Ltd