FrameProcessor: add new entry_processors() method
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@@ -9,6 +9,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Added
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- Added new `FrameProcessor.entry_processor()` method. This allows you to access
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the first non-compound processor in a pipeline.
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- Added `FrameProcessor` properties `processors`, `next` and `previous`.
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- `ElevenLabsTTSService` now supports additional runtime changes to the `model`,
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@@ -164,6 +164,20 @@ class ParallelPipeline(BasePipeline):
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"""
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return self._pipelines
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@property
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def entry_processors(self) -> List["FrameProcessor"]:
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"""Return the list of entry processors for this processor.
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Entry processors are the first processors in a compound processor
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(e.g. pipelines, parallel pipelines). Note that pipelines can also be an
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entry processor as pipelines are processors themselves. Non-compound
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processors will simply return an empty list.
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Returns:
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The list of entry processors.
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"""
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return self._pipelines
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def processors_with_metrics(self) -> List[FrameProcessor]:
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"""Collect processors that can generate metrics from all parallel branches.
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@@ -116,8 +116,30 @@ class Pipeline(BasePipeline):
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@property
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def processors(self):
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"""Return the list of sub-processors contained within this processor.
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Only compound processors (e.g. pipelines and parallel pipelines) have
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sub-processors. Non-compound processors will return an empty list.
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Returns:
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The list of sub-processors if this is a compound processor.
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"""
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return self._processors
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@property
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def entry_processors(self) -> List["FrameProcessor"]:
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"""Return the list of entry processors for this processor.
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Entry processors are the first processors in a compound processor
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(e.g. pipelines, parallel pipelines). Note that pipelines can also be an
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entry processor as pipelines are processors themselves. Non-compound
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processors will simply return an empty list.
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Returns:
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The list of entry processors.
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"""
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return [self._source]
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def processors_with_metrics(self):
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"""Return processors that can generate metrics.
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@@ -149,6 +149,20 @@ class SyncParallelPipeline(BasePipeline):
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"""
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return self._pipelines
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@property
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def entry_processors(self) -> List["FrameProcessor"]:
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"""Return the list of entry processors for this processor.
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Entry processors are the first processors in a compound processor
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(e.g. pipelines, parallel pipelines). Note that pipelines can also be an
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entry processor as pipelines are processors themselves. Non-compound
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processors will simply return an empty list.
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Returns:
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The list of entry processors.
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"""
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return self._sources
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def processors_with_metrics(self) -> List[FrameProcessor]:
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"""Collect processors that can generate metrics from all parallel pipelines.
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@@ -262,6 +262,20 @@ class FrameProcessor(BaseObject):
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"""
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return []
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@property
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def entry_processors(self) -> List["FrameProcessor"]:
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"""Return the list of entry processors for this processor.
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Entry processors are the first processors in a compound processor
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(e.g. pipelines, parallel pipelines). Note that pipelines can also be an
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entry processor as pipelines are processors themselves. Non-compound
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processors will simply return an empty list.
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Returns:
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The list of entry processors.
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"""
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return []
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@property
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def next(self) -> Optional["FrameProcessor"]:
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"""Get the next processor.
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