The dumpio-client package (Python ≥ 3.8, no required dependencies) sends faithful, typed value dumps and structured messages to Dumpio over HTTP. The serializer understands dict/list/tuple/set, dataclasses, arbitrary objects via __dict__/repr, bytes, and special float values; ORM models (SQLAlchemy, Django) render as their loaded columns with the internal state dropped (already-loaded data only — no lazy query is triggered). It infers member visibility from the _/__ convention, breaks cycles with ref nodes, and captures the calling file:line automatically. Ready-made integrations for Django, Flask, and FastAPI/Starlette.
1pip install dumpio-client2 3# optional framework extras:4pip install "dumpio-client[django]"5pip install "dumpio-client[flask]"6pip install "dumpio-client[fastapi]"
Every helper is fire-and-forget and never raises into your app — if the viewer isn't running, the dump is dropped silently. Sending is synchronous (an HTTP POST with a short timeout, 1.5 s by default), so no flush() is needed.
Why send dumps to Dumpio instead of print()
- It doesn't flood stdout. The dump travels over the network to a separate window, so you don't have to print objects into a WSGI server's log or a test runner's output.
- It preserves types and structure. Instead of
<object at 0x…>you see a typed tree — dataclasses,set,bytes, cycles viaref, attribute visibility. - It sorts things for you. Color flags, labels, and channels separate output from different places.
- It won't crash the request. Everything is wrapped so a send error (e.g. when the viewer isn't running) can never leak into your app.
For the full list of dump types and how Dumpio renders them, see Dump types; if nothing shows up, start with Troubleshooting.
Quick start
1from dumpio_client import dumpio, dd2 3dumpio(user) # dump a variable4dumpio(user, label="user", flag="green") # with a label and flag5dd(a, b) # dump every argument and stop the script — sys.exit(1)
dumpio() returns the value it was given, so you can drop it into an expression without breaking it:
1return dumpio(compute_total(cart), label="total") # dumps and carries on
Which entry point should you use?
| I want to… | Use |
|---|---|
| Quickly dump a value | dumpio(x) |
| Dump mid-expression without breaking the code | dumpio(x) (returns x unchanged) |
| Add a flag / label / channel | dumpio(x, label=…, flag=…, channel=…) |
| Dump and stop the script | dd(x) |
| Send something other than a variable (exception, query, HTTP…) | typed helpers dumpio_exception(), dumpio_query(), … |
Configuration
Defaults are read from the environment, or you can set them via configure(...):
| Option | Env var | Default |
|---|---|---|
host |
DUMPIO_HOST |
localhost |
port |
DUMPIO_PORT |
21234 |
path |
– | /dumps |
token |
DUMPIO_TOKEN |
"" |
timeout (s) |
– | 1.5 |
enabled |
DUMPIO_DISABLE (set it to turn off) |
true |
max_depth |
– | 6 |
max_items |
– | 100 |
max_string |
– | 2000 |
1from dumpio_client import configure2 3configure(host="127.0.0.1", port=21234, token="Dio-…")
The token is sent as the X-Dumpio-Token header. configure() returns the resulting config (you can also reach the exported config dict). The SDK speaks HTTP only (no TCP).
Core functions
| Function | Purpose |
|---|---|
dumpio(value, label=None, flag="blue", channel="default") -> Any |
Send a variable dump and return value |
dd(*values) -> None |
Dump every argument and stop the script with sys.exit(1) |
configure(**options) -> dict |
Override config and return the result |
serialize(value, ...) -> dict |
Return the typed tree without sending |
Fluent builder & flood control
dio(value) returns a chainable builder that mirrors the PHP/Node clients. It
ships on .send(), when used as a with block, or automatically when the object
is dropped (CPython sends it at the end of the statement, like the PHP destructor).
1from dumpio_client import dio, stopwatch 2 3dio(user).red().label("user").channel("auth") # auto-sends 4dio(payload).green().send() # explicit 5 6dio(state).when(debug) # send only if truthy (.unless() is the opposite) 7 8# Keep loops from flooding the viewer (keyed by call site, or a shared name): 9for row in rows:10 dio(row).once() # only the first iteration11 dio(row).limit(5) # at most 512 dio(row).count("rows") # one live-updating "×N" entry
Colors: red() yellow() blue() gray() purple() pink() green() (or flag("…")),
plus label(), channel(), when()/unless(), once()/limit(n)/count(name?), send().
On non-CPython runtimes (e.g. PyPy) object collection isn't immediate, so call
.send()or usewith dio(x) as d:when you need the dump sent at a precise point.
Timing — stopwatch
1sw = stopwatch("import")2# … work …3sw.lap("parsed") # split time, keeps running4# … more work …5sw.stop("done") # final time
Each lap()/stop() sends a measure dump with the elapsed milliseconds (and a
memory delta when tracemalloc is running).
Typed helpers
Each renders a dedicated view in the viewer and picks a sensible default flag. All accept the keyword arguments flag=, channel=, timestamp= and any additional payload fields.
| Helper | Default flag | Renders |
|---|---|---|
message(text, **opts) |
blue | generic titled data (extra keys as payload) |
dumpio_exception(exc, context=None, **opts) |
red | error + stack trace |
dumpio_query(sql, bindings=None, time_ms=None, **opts) |
purple | SQL query (connection=, message=) |
dumpio_http(method, url, status=None, headers=None, body=None, response_time=None, **opts) |
by status | HTTP request |
dumpio_log(level, message, details=None, **opts) |
by level | log |
dumpio_model(cls_name, attributes, relations=None, exists=None, connection=None, **opts) |
one domain object | |
dumpio_collection(items, count=None, **opts) |
list | |
dumpio_table(columns, rows, **opts) |
explicit table | |
dumpio_measure(name, time_ms, memory=None, context=None, **opts) |
one timing | |
dumpio_performance(metrics, breakdown=None, context=None, **opts) |
a metric bundle | |
dumpio_event(event, entity=None, entity_id=None, actor=None, data=None, metadata=None, **opts) |
a domain event | |
dumpio_html(html, message=None, title=None, **opts) |
an HTML fragment/page in a sandboxed iframe | |
dumpio_mail(mail, **opts) |
a rendered email (envelope + body); mail = dict of html/text/subject/from/to/cc/bcc/attachments |
Flag by HTTP status: None → blue, ≥ 500 → red, ≥ 400 → yellow, ≥ 300 → blue, else green.
Flag by log level: emergency/alert/critical/error → red, warning/notice → yellow, info → blue, else gray.
Examples
1from dumpio_client import ( 2 dumpio_exception, dumpio_query, dumpio_http, 3 dumpio_log, dumpio_table, dumpio_event, 4) 5 6# An error with a structured stack trace and context 7try: 8 gateway.charge(order) 9except Exception as e:10 dumpio_exception(e, context={"order_id": order.id, "user": user.email})11 raise12 13# A database query with parameters and time14dumpio_query("select * from orders where status = ?", ["paid"], 12.4)15 16# An outgoing HTTP call — the flag is derived from the status17dumpio_http("POST", "https://api.stripe.com/v1/charges", 402, response_time=240)18 19# A log line with details (flag by level)20dumpio_log("error", "Payment failed", {"gateway": "stripe", "code": "card_declined"})21 22# A table — columns + rows23dumpio_table(["id", "status"], [[1, "paid"], [2, "pending"]], message="Orders")24 25# A business event with an actor and data26dumpio_event("order.refunded", entity="Order", entity_id=42,27 actor={"email": user.email}, data={"amount": 1990})
For a detailed look at how Dumpio renders each type (and how it parses exceptions), see Dump types and Exceptions.
Auto-capture outbound HTTP
capture_http() patches http.client — which urllib, requests and urllib3 all funnel through — so every outgoing request your app makes is forwarded to the viewer as an http dump. No per-call code needed.
1from dumpio_client import capture_http2 3stop = capture_http(channel="outbound")4# ... your app makes HTTP calls ...5stop() # restore the originals when you're done
It's idempotent, defensive (a capture failure never disturbs the request), and skips requests to the Dumpio viewer itself, so the SDK never dumps its own traffic. Pass ignore=lambda info: ... to skip noisy endpoints — info carries method / url / host / port.
httpxuses its own transport (httpcore), nothttp.client, so it isn't captured by this patch.
Auto-capture ORM queries (SQLAlchemy)
capture_sqlalchemy(engine) attaches to SQLAlchemy's public before_cursor_execute / after_cursor_execute events (no monkey-patching) and forwards every executed statement as a query dump with its bound parameters and timing. Works with a sync Engine or an AsyncEngine (its sync_engine is used).
1from dumpio_client import capture_sqlalchemy2 3stop = capture_sqlalchemy(engine, channel="db")4# ... your app runs queries ...5stop() # detach the listeners
The captured SQL and bindings are the driver-level ones (SQLAlchemy has already compiled named params to the DBAPI's paramstyle). Pass ignore=lambda info: ... to skip statements — info carries sql / bindings.
Framework integrations
Each integration imports its framework lazily and is defensive: importing the module without the framework, or the viewer being down, never breaks anything.
Django
1# settings.py2MIDDLEWARE = [3 # ...4 "dumpio_client.django.DumpioMiddleware",5]
Sends an http dump per request and an exception dump on view errors.
Flask
1from flask import Flask2from dumpio_client.flask import DumpioFlask3 4app = Flask(__name__)5DumpioFlask(app) # or: DumpioFlask().init_app(app)
Uses before_request / after_request / teardown_request to send http dumps and exceptions.
FastAPI / Starlette
1from fastapi import FastAPI2from dumpio_client.fastapi import DumpioMiddleware3 4app = FastAPI()5app.add_middleware(DumpioMiddleware)
An ASGI BaseHTTPMiddleware that sends one http dump per request. Degrades to a transparent no-op if Starlette isn't installed.
Standard logging (optional)
1import logging2from dumpio_client.logging import DumpioHandler3 4logging.getLogger().addHandler(DumpioHandler())
Forwards log records as log dumps (and as exception dumps when a record carries exc_info).
What gets sent (the wire format)
Every dump carries a standard envelope (timestamp, flag, channel, type, language: "python", …) plus type-specific fields. The exact envelope, flags, and limits are described in Dump format; the value tree is the same as in the other SDKs.