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OvoScope is an end-to-end testing framework for OVOS skills.
It contains the full core runtime environment using a lightweight in-process ovos-core
, allowing skill developers to test the full skill message flow, from utterance to intent handling to final bus responses — without launching a full assistant stack.
Like a microscope for your OVOS skills.
Message
objects and captures responsesunittest
or pytest
workflowspip install ovoscope
Testing scenario of complete intent failure (no skills installed)
from ovoscope import End2EndTest
from ovos_bus_client.message import Message
from ovos_bus_client.session import Session
session = Session("123") # change lang, pipeline, etc. as needed
message = Message("recognizer_loop:utterance",
{"utterances": ["hello world"]},
{"session": session.serialize(), "source": "A", "destination": "B"})
test = End2EndTest(
skill_ids=[],
source_message=message,
expected_messages=[
message,
Message("mycroft.audio.play_sound", {"uri": "snd/error.mp3"}),
Message("complete_intent_failure", {}),
Message("ovos.utterance.handled", {}),
]
)
test.execute()
FakeBus
and MiniCroft
for fast, reliable test environmentsPRs are welcome! See CONTRIBUTING.md for guidelines.
FAQs
End-to-end test framework for OpenVoiceOS skills
We found that ovoscope demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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