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87 lines
3.0 KiB
Python
87 lines
3.0 KiB
Python
"""
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This pipeline file includes two different examples to demonstrate the flexibility of crewAI pipelines.
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Example 1: Two-Stage Pipeline
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-----------------------------
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This pipeline consists of two crews:
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1. ResearchCrew: Performs research on a given topic.
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2. WriteXCrew: Generates an X (Twitter) post based on the research findings.
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Key features:
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- The ResearchCrew's final task uses output_json to store all research findings in a JSON object.
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- This JSON object is then passed to the WriteXCrew, where tasks can access the research findings.
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Example 2: Two-Stage Pipeline with Parallel Execution
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-------------------------------------------------------
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This pipeline consists of three crews:
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1. ResearchCrew: Performs research on a given topic.
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2. WriteXCrew and WriteLinkedInCrew: Run in parallel, using the research findings to generate posts for X and LinkedIn, respectively.
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Key features:
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- Demonstrates the ability to run multiple crews in parallel.
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- Shows how to structure a pipeline with both sequential and parallel stages.
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Usage:
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- To switch between examples, comment/uncomment the respective code blocks below.
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- Ensure that you have implemented all necessary crew classes (ResearchCrew, WriteXCrew, WriteLinkedInCrew) before running.
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"""
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# Common imports for both examples
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from crewai import Pipeline
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# Uncomment the crews you need for your chosen example
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from .crews.research_crew.research_crew import ResearchCrew
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from .crews.write_x_crew.write_x_crew import WriteXCrew
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# from .crews.write_linkedin_crew import WriteLinkedInCrew # Uncomment for Example 2
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# EXAMPLE 1: Two-Stage Pipeline
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# -----------------------------
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# Uncomment the following code block to use Example 1
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class {{pipeline_name}}Pipeline:
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def __init__(self):
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# Initialize crews
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self.research_crew = ResearchCrew().crew()
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self.write_x_crew = WriteXCrew().crew()
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def create_pipeline(self):
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return Pipeline(
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stages=[
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self.research_crew,
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self.write_x_crew
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]
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)
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async def kickoff(self, inputs):
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pipeline = self.create_pipeline()
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results = await pipeline.kickoff(inputs)
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return results
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# EXAMPLE 2: Two-Stage Pipeline with Parallel Execution
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# -------------------------------------------------------
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# Uncomment the following code block to use Example 2
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# @PipelineBase
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# class {{pipeline_name}}Pipeline:
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# def __init__(self):
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# # Initialize crews
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# self.research_crew = ResearchCrew().crew()
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# self.write_x_crew = WriteXCrew().crew()
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# self.write_linkedin_crew = WriteLinkedInCrew().crew()
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# @pipeline
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# def create_pipeline(self):
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# return Pipeline(
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# stages=[
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# self.research_crew,
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# [self.write_x_crew, self.write_linkedin_crew] # Parallel execution
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# ]
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# )
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# async def run(self, inputs):
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# pipeline = self.create_pipeline()
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# results = await pipeline.kickoff(inputs)
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# return results |