Skip to main content

Devtools Protocol implementation for chrome.

Project description

Choreographer

choreographer allows remote control of browsers from Python. It was created to support image generation from browser-based charting tools, but can be used for other purposes as well.

choreographer is available PyPI and github.

Wait—I Thought This Was Kaleido?

Kaleido is a cross-platform library for generating static images of plots. The original implementation included a custom build of Chrome, which has proven very difficult to maintain. In contrast, this package uses the Chrome binary on the user's machine in the same way as testing tools like Puppeteer; the next step is to re-implement Kaleido as a layer on top of it.

Status

choreographer is a work in progress: only Chrome-ish browsers are supported at the moment, though we hope to add others. (Pull requests are greatly appreciated.)

Note that we strongly recommend using async/await with this package, but it is not absolutely required. The synchronous functions in this package are intended as building blocks for other asynchronous strategies that Python may favor over async/await in the future.

Testing

Process Control Tests

  • Verbose: pytest -W error -vvv tests/test_process.py
  • Quiet:pytest -W error -v tests/test_process.py

Browser Interaction Tests

  • Verbose: pytest --debug -W error -vvv --ignore=tests/test_process.py
  • Quiet :pytest -W error -v --ignore=tests/test_process.py

You can also add "--no-headless" if you want to see the browser pop up.

Writing Tests

  • Separate async and sync test files. Add _sync.py to synchronous tests.
  • For process tests, copy the fixtures in test_process.py file.
  • For API tests, use test_placeholder.py as the minimum template.

Help Wanted

We need your help to test this package on different platforms and for different use cases. To get started:

  1. Clone this repository.
  2. Create and activate a Python virtual environment.
  3. Install this repository using pip install . or the equivalent.
  4. Run dtdoctor and paste the output into an issue in this repository.

Quickstart with asyncio

Save the following code to example.py and run with Python.

import asyncio
import choreographer as choreo


async def example():
    browser = await choreo.Browser(headless=False)
    tab = await browser.create_tab("https://google.com")
    await asyncio.sleep(3)
    await tab.send_command("Page.navigate", params={"url": "https://github.com"})
    await asyncio.sleep(3)


if __name__ == "__main__":
    asyncio.run(example())

Step by step, this example:

  1. Imports the required libraries.
  2. Defines an async function (because await can only be used inside async functions).
  3. Asks choreographer to create a browser. headless=False tells it to display the browser on the screen; the default is no display.
  4. Wait three seconds for the browser to be created.
  5. Create another tab. (Note that users can't rearrange programmatically-generated tabs using the mouse, but that's OK: we're not trying to replace testing tools like Puppeteer.)
  6. Sleep again.
  7. Runs the example function.

See the devtools reference for a list of possible commands.

Subscribing to Events

Try adding the following to the example shown above:

    # Callback for printing result
    async def dump_event(response):
        print(str(response))


    # Callback for raising result as error
    async def error_event(response):
        raise Exception(str(response))


    browser.subscribe("Target.targetCrashed", error_event)
    new_tab.subscribe("Page.loadEventFired", dump_event)
    browser.subscribe("Target.*", dump_event) # dumps all "Target" events
    response = await new_tab.subscribe_once("Page.lifecycleEvent")
    # do something with response
    browser.unsubscribe("Target.*")
    # events are always sent to a browser or tab,
    # but the documentation isn't always clear which.
    # Dumping all: `browser.subscribe("*", dump_event)` (on tab too)
    # can be useful (but verbose) for debugging.

Synchronous Use

You can use this library without asyncio,

my_browser = choreo.Browser() # blocking until open

However, you must call browser.pipe.read_jsons(blocking=True|False) manually, and organizing the results.

browser.run_output_thread() starts another thread constantly printing messages received from the browser but it can't be used with asyncio nor will it play nice with any other read.

In other words, unless you're really, really sure you know what you're doing, use asyncio.

Low-Level Use

We provide a Browser and Tab interface, but there are lower-level Target and Session interfaces if needed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

choreographer-1.3.0.tar.gz (48.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

choreographer-1.3.0-py3-none-any.whl (52.6 kB view details)

Uploaded Python 3

File details

Details for the file choreographer-1.3.0.tar.gz.

File metadata

  • Download URL: choreographer-1.3.0.tar.gz
  • Upload date:
  • Size: 48.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.0 {"installer":{"name":"uv","version":"0.11.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"25.10","id":"questing","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for choreographer-1.3.0.tar.gz
Algorithm Hash digest
SHA256 6c44a0e48e9b37977344d40bfa5a9ed88575fe4bc0fd836771bf702bc24d6884
MD5 06b667423c6b522e997fb177f9185f2c
BLAKE2b-256 17693058cd4f16d6b75c80e8f95e5b713d930526353ce294df9a7887453ba215

See more details on using hashes here.

File details

Details for the file choreographer-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: choreographer-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 52.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.0 {"installer":{"name":"uv","version":"0.11.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"25.10","id":"questing","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for choreographer-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cea4cb739e4f61625e4b53888a8d3fa1d3bf73948b56753e460ab44da7d8d44f
MD5 e7527d5cc7f8dda6242085c7a2515297
BLAKE2b-256 ba6cff8bf52315064dbeb55cb5067e191120a5b2e58bb648d0d34cf7969dc2c2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page