Siren

Minimal Python debug helper with automatic cleanup.

A tiny debugging utility for Python that prints variables with file/line context, traces function calls, measures execution time, and safely removes debug calls from your code.

Install

pip install siren-debug

The package also installs two commands: siren-clean (remove debug calls) and siren-autoload (use siren without importing it).

Quick Start

from siren import siren

x = 10
user = {"name": "Alex", "items": [1, 2, 3]}

siren(x)
siren(user)

[🧜‍ SIREN core.py:10] x = 10
[🧜‍ SIREN core.py:11] user = {'name': 'Alex', 'items': [1, 2, 3]}

Siren automatically uses pprint for complex objects, and picks up the file/line it was called from.

Features

• Works with Python 2.7 and 3.6+
• Zero external dependencies
• Prints values with file and line number
• Uses pprint automatically for complex data
• Function tracing with @siren.trace, object diffing with siren.diff, an interactive siren.breakpoint(), memory snapshots with siren.memory(), and colored traceback capture with siren.catch
• Quiet mode, conditional logging, and file logging
• Removes siren(...) calls automatically with siren-clean
• Use siren anywhere without importing it via siren-autoload
• Project/file scaffolding with siren-scaffold, .env drift checks with siren-env
• Terminal snippet manager (siren-snippet) and a dependency-free HTTP client (siren-http)
• Local code-quality checks with siren-quality (dead code, lint, cyclomatic complexity)
• Works in scripts, CLI tools, Django, Flask, FastAPI, and more
• Colored output with emoji for easy visual scanning

Usage

Call siren(...) with one or more values. It returns them unchanged, so it can be inlined:

from siren import siren

siren(x, data, user)
result = siren(compute())  # still returns compute()'s value

Label — tag a call for easier scanning:

siren(value, label="BEFORE SAVE")

Timer — measure execution time for a call:

siren(x, timeit=True)
# [🧜‍ SIREN core.py:10] x = 10
# [🧜‍ SIREN TIME] 0.000123s

Quiet mode — suppress output without removing the call:

siren(x, quiet=True)      # this call only, still returns x
siren.set_quiet(True)     # every call, until set_quiet(False)

Conditional logging — only print when a condition holds:

siren(x, if_equals=5)        # only if x == 5
siren(items, if_len_gt=100)  # only if len(items) > 100
siren(items, if_len_lt=5)    # only if len(items) < 5
siren(result, if_true=True)  # only if result is truthy
siren(error, if_false=True)  # only if error is falsy

Logging to file — mirror output to a file:

siren.set_logfile("debug.log")
siren(x)  # prints to stdout AND writes to debug.log

Inspect configuration:

config = siren.get_config()
print(config)  # {"quiet": False, "logfile": None, "enabled": True}

Function tracing

@siren.trace logs a function's calls, arguments, return value, execution time, and exceptions automatically:

from siren import trace

@siren.trace
def add(a, b):
    return a + b

add(2, 3)

[🧜‍ SIREN core.py:10] Calling add(a=2, b=3)
[🧜‍ SIREN core.py:11] Returned from add -> 5 [int] (0.000123s)

Configuration options (all default to True):

@siren.trace(timeit=True, show_args=False, show_type=False)
def multiply(a, b):
    return a * b

Exceptions are logged before being re-raised, so @siren.trace never swallows an error:

@siren.trace
def divide(a, b):
    return a / b

divide(5, 0)  # Logs exception before raising

Diff, breakpoint, memory, and catch

siren.diff compares two dicts, lists, tuples, or any comparable objects:

before = {"name": "Alice", "age": 30}
after = {"name": "Alice", "age": 31, "city": "NYC"}

siren.diff(before, after)

[🧜‍ SIREN test.py:10] DIFF
[🧜‍ SIREN test.py:11] [~] age: 30 → 31 (changed)
[🧜‍ SIREN test.py:12] [+] city: NYC (new)

siren.breakpoint() pauses execution and prints local variables:

x = 42
data = {"items": [1, 2, 3]}

siren.breakpoint()  # Pauses and displays all locals
# Press Ctrl+C to continue, or type 'd' to drop into pdb

siren.memory() prints current/peak traced memory usage (requires Python 3.4+; prints a clear message instead of failing on Python 2):

siren.memory()          # [🧜‍ SIREN MEMORY ...] current=1.2MB peak=1.5MB
siren.memory(top=5)     # also print the top 5 allocation sites

siren.catch is a context manager that prints a colored traceback on exception and re-raises it — it never swallows errors:

with siren.catch():
    risky_call()

Cleaning debug calls

Run siren-clean in a project folder to remove all siren(...) calls and their import lines — comments and string literals are left untouched:

siren-clean

Before:

from siren import siren
siren(x)
print("hello")
siren(data)

After:

print("hello")

Autoload (no per-file imports)

By default you still need from siren import siren in every file that uses it. If you'd rather call siren(x) anywhere in a project without importing it each time, enable autoload once per environment (virtualenv, Docker image, CI job, etc.):

siren-autoload on
siren-autoload status   # check whether it's enabled
siren-autoload off      # disable again

This writes a .pth file into the current environment's site-packages, injecting siren into Python's builtins as soon as any interpreter starts in that environment — no import needed anywhere, including in Django apps, Flask views, scripts, or the shell. It's opt-in per environment, so it won't silently affect environments where you didn't run on.

Beyond debugging

Siren also ships a handful of small, dependency-free CLI tools for everyday project work.

Scaffolding — siren-scaffold

Generate a small file or project skeleton:

siren-scaffold script my_tool       # a single script with a main() guard
siren-scaffold package my_package   # a package dir with __init__.py, core.py, and tests/
siren-scaffold class Widget         # a plain class
siren-scaffold dataclass Point      # a plain-Python value object (no dataclasses module needed)
siren-scaffold test Widget          # a unittest.TestCase stub

It refuses to overwrite existing files.

.env drift check — siren-env

siren-env diff                                    # compares .env.example against .env
siren-env diff --example .env.sample --env .env.local

Reports keys present in one file but missing from the other, and exits non-zero on drift — usable as a CI check.

Snippets — siren-snippet

echo "print('hello')" | siren-snippet save greet
siren-snippet show greet
siren-snippet list
siren-snippet remove greet

Snippets are stored as plain text files under ~/.siren/snippets/.

HTTP client — siren-http

A tiny httpie-like client built on urllib only:

siren-http GET https://api.example.com/items
siren-http POST https://api.example.com/items --json '{"name": "x"}' -H "Authorization: Bearer TOKEN"
siren-http GET https://api.example.com/items --save my-request   # save it as a local collection
siren-http replay my-request                                     # resend a saved request
siren-http list                                                  # list saved requests

You can also log every HTTP call your own code makes through requests or httpx, without touching that code — requests/httpx are not siren dependencies, they're only imported when you call these:

siren.patch_requests()    # every requests.Session call now logs method/url/status/duration
siren.patch_httpx()       # same, for httpx.Client (sync only)
siren.unpatch_requests()
siren.unpatch_httpx()

Code quality — siren-quality

Local checks built on the stdlib ast module (no pyflakes/radon/etc dependency):

siren-quality deadcode .     # unused imports and module-level defs never referenced in the same file
siren-quality lint .         # bare `except:`, leftover pdb.set_trace()/breakpoint(), TODO/FIXME comments
siren-quality complexity .   # cyclomatic complexity per function, flags anything above --threshold (default 10)

deadcode is a same-file heuristic — it can't see usage from other files, so treat its findings as candidates to double-check, not certainties.

Framework examples

from django.http import JsonResponse
from siren import siren

def my_view(request):
    user_data = request.GET.dict()
    siren(user_data, label="REQUEST_PARAMS")

    result = process_data(user_data)
    siren(result)

    return JsonResponse(result)

from flask import Flask, request
from siren import siren, trace

app = Flask(__name__)

@app.route("/api/users")
def get_users():
    query = request.args.get("q")
    siren(query, label="SEARCH_QUERY")

    users = search_users(query)
    return {"users": users}

@siren.trace
def search_users(query):
    # Function entry/exit will be logged automatically
    return [{"id": 1, "name": "Alice"}]

from fastapi import FastAPI
from siren import siren, trace

app = FastAPI()

@app.get("/items/{item_id}")
async def get_item(item_id: int, q: str = None):
    siren({"item_id": item_id, "q": q}, label="QUERY_PARAMS")

    item = await fetch_item(item_id)
    return item

@siren.trace(timeit=True)
async def fetch_item(item_id: int):
    # Execution time and arguments will be logged
    return {"id": item_id, "name": "Item"}

Why use Siren?

Debug prints are easy to add, but hard to remove later. Siren gives you a fast debug workflow and a safe cleanup step so your temporary debug code does not stay in production.

Project

• Package name: siren-debug
• Python versions: 2.7, 3.6+
• License: MIT
• PyPI: https://pypi.org/project/siren-debug/

License

MIT