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reportingLabs for Python

PyPI Docs Support reportingLabs

One beautiful HTML report for pytest, Playwright, Selenium and Robot Framework. It tells you what broke, who owns it, and whether it is new. The whole report is a single self-contained HTML file: no server, no upload, no login. Open it in a browser, attach it to a CI job, or drop it in Slack.

♥ Free and open source, no paid tier. If reportingLabs saves your team time, support its development (Razorpay for India, Stripe for everywhere else). A ⭐ on GitHub helps too.

The report is byte-for-byte the same layout as the Node.js and Java reporters, so one triage habit works across a whole company. Nothing from Node is needed at run time: the report is built entirely in Python.

Install

pip install reporting-labs

That is all. The pytest plugin turns on the moment the package is installed. For Robot Framework, add one listener flag (below).

pytest

Run your tests as you always do:

pytest
open reporting-labs/index.html        # run again to see the trend and flaky history

Add detail with a few optional helpers:

import pytest
from reporting_labs import meta, log, test_data, step, api, attach

@pytest.mark.meta(priority="P1", owner="asha", feature="checkout", story="SHOP-231")
def test_checkout(page):
    test_data({"username": "demo", "password": "S3cret"}, "Login")   # sensitive keys are masked
    log("cart total before coupons: 99.00")
    with step("Apply coupon"):
        ...
What you get How
A row per test: passed, failed, skipped (with the reason), xfail / xpass automatic
Flaky, with every attempt pytest-rerunfailures
Timed out pytest-timeout
Parallel runs merged into one report pytest-xdist (-n auto)
Priority, owner, feature charts and filters @pytest.mark.meta(...) or meta(...)
Every requests / httpx call in the API tab automatic
Captured stdout / stderr, with secrets masked automatic

Turn it off for a run with -p no:reporting_labs or --no-rl.

Meta: two ways, your choice

Meta (priority, owner, feature, story) can be added in two ways. Both give exactly the same report, so use whichever you like:

# Way 1: the marker (or meta() inside the test)
@pytest.mark.meta(priority="P0", owner="asha", feature="checkout", story="SHOP-12")
def test_checkout(page):
    ...

# Way 2: the test's docstring, no marker, no import
def test_checkout(page):
    """Places an order with a saved card.

    @priority P0  @owner asha  @feature checkout  @story SHOP-12
    @smoke
    """
    ...
  • Already using the marker or meta()? Nothing changes. Docstrings are only an extra option.
  • Mix them freely. If one test has both, the marker / meta() wins.
  • # comments right above the def work too. A class docstring applies to every test in the class, the module docstring at the top of the file to every test in the file.
  • A line with only @words (@smoke @regression) becomes tags; @P0 sets the priority.
  • Your old docstrings are safe: a name in a sentence ("reported by @asha") and unknown keys are ignored.
  • Robot Framework: write it in [Documentation]: @owner naveen @priority P0.
  • Turn it off with "commentMeta": false.

Don't type it by hand: install the snippets. In VS Code:

  1. In the project folder (virtualenv active), run python -m reporting_labs snippets. It creates .vscode/reporting-labs.code-snippets.
  2. Inside a test, type rlmeta and press Tab for the docstring (or rltest for a whole test). Pick the priority from the list, then Tab to the next field.
  3. Commit the .vscode file so the whole team gets the snippets.

For PyCharm, see Install the editor snippets.

pytest-bdd

Using pytest-bdd (Gherkin .feature files)? Nothing to set up (reporting-labs 0.1.7+): when pytest-bdd is installed, every scenario reads like a Cucumber report.

  • One row per scenario, named after it, at its .feature file and line, grouped under the feature file. A Scenario Outline example is named Scenario (value1, value2) and shows its Examples row as a data block.
  • Every Gherkin step (Background included) as a step: Given …, When …, Then …, with its time. Playwright and Selenium actions of a step nest under it.
  • The failing step carries the error; the steps after it show as not run. A step that calls pytest.skip() skips the scenario, and its remaining steps show as not run too.
  • An undefined step fails the scenario at its .feature line, with the lines around it and the step definition to write.
  • Data tables and doc strings of a step become data blocks.
  • Tags: @P1 and @critical set priority and severity, @owner:asha sets the owner, anything else is a tag. meta() inside a step wins over a tag.
  • The browser the steps used (pytest-playwright) is the project.

Works with pytest-bdd 6 to 9 (data tables and doc strings need pytest-bdd 8+).

Playwright

Install pytest-playwright and write tests as usual. Every action, every expect() and a screenshot of the failing page land in the report with no extra code. pytest-playwright's trace and video are attached too:

pytest --tracing retain-on-failure --video retain-on-failure

The sync and async APIs both work. See examples/pytest-playwright.

Selenium

Install selenium and write tests as usual. Every driver command (open, find, click, type, run script, perform actions, Appium taps) becomes a step, with the element named by the locator that found it, and a screenshot of the browser is attached when a test fails. No wrappers. See examples/pytest-selenium.

Robot Framework

Add one listener flag:

robot --listener reporting_labs.RobotListener tests/

One row per test case, suites as the path, every keyword a step, setup and teardown as hooks, tags as filters, and the screenshots SeleniumLibrary or the Browser library embed in the log attached to the test. Options go after a colon: --listener reporting_labs.RobotListener:title=Checkout:output=reports/rl. See examples/robot-selenium.

Configuration

Every option is optional. Put them in reporting-labs.config.json next to where you run, or under [tool.reporting-labs] in pyproject.toml. Keys may be written camelCase (as in the Node reporter) or snake_case.

{
  "title": "Checkout regression",
  "project": { "name": "ShopLite", "version": "2.4.0", "team": "QA Platform" },
  "metadata": { "env": "local" },
  "logo": "logo.png",
  "palette": "lab",
  "links": { "story": "https://acme.atlassian.net/browse/{id}" },
  "maskKeys": ["otp", "pan"],
  "history": { "enabled": true, "keep": 30 }
}

All options:

Option Default What it does
title "Test report" Title in the header
logo – Your logo next to the title: a file next to the config (embedded in the report) or an https URL
project – { "name", "version", "team", "url" } shown under the title
metadata {} Chips in the header, e.g. { "env": "staging", "build": "#1842" }. build labels the run in the trend
envVar – Name of the variable that holds the environment name, when the detection cannot guess it
env {} Extra rows on the Environment card
links {} Turn meta values into links: { "story": "https://acme.atlassian.net/browse/{id}" }
maskKeys [] Extra keys to mask as ****
maskValues [] Literal values to blank wherever they appear, keyed or not
maskFromEnv true Learn the values of sensitive-looking environment variables (PASSWORD, API_TOKEN) and blank them everywhere
dimensions ["priority", "severity", "feature", "owner"] Meta keys that get a tab in the Breakdown chart and a filter on the Tests page. Add your own, e.g. "team"
dimensionOrder P0…P4, blocker…trivial The order values appear in those charts and filters, e.g. { "severity": ["high", "medium", "low"] }
commentMeta true Also read meta from docstrings and # comments (@priority P0 @owner asha). The marker and meta() win when both are there. false reads no comments
warnMissingMeta true After the run, list the tests that have no meta in the console
widgets all on Hide cards: { "tags": false, "timeline": false }
sections [] Extra HTML below the summary, e.g. release notes: [{ "title": "...", "html": "..." }]
history { "enabled": true, "keep": 30 } Run history for the trend; file sets a custom path
palette "lab" "lab" (blue), "ocean", "ember", "mono"
accent palette accent Your brand color
theme "auto" "light", "dark" or follow the OS
customCss "" CSS appended to the report
editorLinks on locally, off in CI "Open in VS Code" links
expandFailedSteps true Open the steps that lead to a failure. false: every step with sub-steps starts collapsed (also on failures); Expand all / Collapse all above the steps either way
bdd auto Style Given / When / Then steps as Gherkin
outputFolder "reporting-labs" Where the report goes
outputFile "index.html" Report file name
embedAttachments true Screenshots inside the HTML (one file)
embedLimit 2 MB Bigger attachments are copied to ./assets
embedVideos false Videos inside the HTML too
emitJson true Also write report.json next to index.html
jsonFile "report.json" File name of the JSON
pdf true Also write a print-ready report.pdf. false turns it off
pdfFile "report.pdf" File name of the PDF
chromePath – The Chrome / Edge / Chromium that prints the PDF, when it is not found on its own (or set CHROME_PATH)
embedFonts true Bundle the fonts (~140 KB) so the report looks the same offline
announce true Print the report path after the run
open "on-failure" Open the report in the browser after the run: "on-failure", "always" or "never". Never opens in CI
captureApi true Record every requests / httpx call in the API tab
apiMaxBody 64 KB Bytes of a request or response body kept
stepsFromTools true Playwright and Selenium actions as steps

report.pdf is printed by Playwright's Chromium if it is installed, otherwise by an installed Chrome, Edge or Chromium, whatever browser the tests ran on. Name one with chromePath or CHROME_PATH.

The environment chip is found for you from ENV, TEST_ENV, APP_ENV, TARGET_ENV, CI_ENVIRONMENT_NAME, or any variable ending in _ENV, so a config that says local still labels the pipeline's reports dev, qa, stage. Point it at your own variable with "envVar": "TARGET".

Runtime overrides, read from the environment and winning over the config, so CI can label a run without touching the file: REPORTING_LABS_METADATA_<KEY> sets a header chip (REPORTING_LABS_METADATA_ENV=qa), and REPORTING_LABS_TITLE, _THEME, _PALETTE, _ACCENT, _LOGO set the matching option.

Secrets are masked

Passwords, tokens and card numbers never reach the report. They are replaced with **** before anything is written, with no setup.

Where: logs, request and response bodies, error messages, test data and step titles. Values typed into password fields with Playwright or Selenium are masked too.

What it catches:

Kind Examples
Passwords and keys password=..., token, api_key, cookies
Auth headers Authorization: Bearer …, Basic …
Tokens JWTs, and Stripe, GitHub, AWS, Google, GitLab, npm and SendGrid keys
Card numbers any valid card number (Luhn check)

It remembers. Once a value has been masked (or comes from a PASSWORD, *_TOKEN or *_SECRET environment variable), it is masked everywhere it shows up later, even with no key around it.

Add your own:

{
  "maskKeys": ["otp", "pan"],
  "maskValues": ["a-value-it-cannot-know"],
  "maskFromEnv": true
}

maskKeys adds key names, maskValues exact values; "maskFromEnv": false stops learning values from environment variables.

Security & privacy

reportingLabs is a library that runs inside your own test run. There is no reportingLabs server, account, API key, telemetry or licence check.

  • Nothing is sent anywhere. The reporter makes no network requests of its own; its only traffic is the traffic your tests already make. An opened report makes no external requests either: fonts, scripts and the logo are embedded, so it works offline and behind a firewall. The only exceptions are opt-in (embedFonts: false, a logo given as an https:// URL) or need a click (CI, commit and issue links).
  • Everything stays on your machine: the report folder (reporting-labs/ by default) holds index.html, report.json, report.pdf and assets/, plus the run history reporting-labs.history.json next to your project. Nothing is written anywhere else. Whoever can read your test artifacts can read the report; deleting them deletes the data.
  • Secrets are masked before anything is written: passwords, tokens, cookies, auth headers, API keys, JWTs and card numbers in logs, API bodies and headers, test data, errors and step titles. Values typed into password fields with Playwright or Selenium are masked too (see Secrets are masked).
  • Screenshots, videos and traces are not masked. They are images and recordings of the application, so run tests against test data, or turn them off for suites that show real personal data.
  • No required dependencies; it uses the pytest, Playwright, Selenium, requests, httpx or Robot Framework your project already installs. No install or post-install scripts. MIT licensed.

Full details for security reviewers and client projects, including what is read, what is written and what to tell a client: reportinglabs.dev/security-privacy. To report a vulnerability, open an issue saying you have a security report (no details) and a private channel will be arranged.

License

MIT. The report is a file you own; nothing leaves your machine or your CI.

Metadata

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