topoteretes--cognee
wehub-resource-sync
c889a57b6b
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50 行
1.3 KiB
Python
50 行
1.3 KiB
Python
"""
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Simplified pipeline API for Cognee.
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Pipeline definition uses the deferred-call pattern:
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classify = task(classify_documents)
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extract = task(extract_graph, batch_size=20)
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await run_pipeline([
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classify(),
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extract(graph_model=KnowledgeGraph),
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], data=raw_input)
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Legacy imports (from cognee.pipelines import Task, run_tasks, etc.) also work.
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"""
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from cognee.pipelines.types import (
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Drop,
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)
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# Legacy re-exports are lazy to avoid circular imports with cognee.modules.pipelines
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_LEGACY_IMPORTS = {
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"Task": "cognee.modules.pipelines.tasks.task",
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"task": "cognee.modules.pipelines.tasks.task",
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"run_tasks": "cognee.modules.pipelines.operations.run_tasks",
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"run_tasks_parallel": "cognee.modules.pipelines.operations.run_parallel",
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"run_pipeline": "cognee.modules.pipelines.operations.run_pipeline",
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}
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def __getattr__(name):
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if name in _LEGACY_IMPORTS:
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import importlib
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module = importlib.import_module(_LEGACY_IMPORTS[name])
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return getattr(module, name)
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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__all__ = [
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# Legacy (backward compatible, lazy-loaded)
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"Task",
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"task",
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"run_tasks",
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"run_tasks_parallel",
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"run_pipeline",
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# Type annotations
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"Drop",
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]
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