template working

This commit is contained in:
Brandon Hancock
2024-09-12 11:33:46 -04:00
parent a028566bd6
commit 72f0b600b8
16 changed files with 91 additions and 244 deletions

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@@ -34,9 +34,7 @@ def create_flow(name):
tools_template_files = ["tools/__init__.py", "tools/custom_tool.py"]
crew_folders = [
"research_crew",
"write_linkedin_crew",
"write_x_crew",
"poem_crew",
]
def process_file(src_file, dst_file):

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@@ -0,0 +1,11 @@
poem_writer:
role: >
CrewAI Poem Writer
goal: >
Generate a funny, light heartedpoem about how CrewAI
is awesome with a sentence count of {sentence_count}
backstory: >
You're a creative poet with a talent for capturing the essence of any topic
in a beautiful and engaging way. Known for your ability to craft poems that
resonate with readers, you bring a unique perspective and artistic flair to
every piece you write.

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@@ -0,0 +1,7 @@
write_poem:
description: >
Write a poem about how CrewAI is awesome.
Ensure the poem is engaging and adheres to the specified sentence count of {sentence_count}.
expected_output: >
A beautifully crafted poem about CrewAI, with exactly {sentence_count} sentences.
agent: poem_writer

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@@ -0,0 +1,31 @@
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
@CrewBase
class PoemCrew():
"""Poem Crew"""
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
@agent
def poem_writer(self) -> Agent:
return Agent(
config=self.agents_config['poem_writer'],
)
@task
def write_poem(self) -> Task:
return Task(
config=self.tasks_config['write_poem'],
)
@crew
def crew(self) -> Crew:
"""Creates the Research Crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)

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@@ -1,19 +0,0 @@
researcher:
role: >
{topic} Senior Data Researcher
goal: >
Uncover cutting-edge developments in {topic}
backstory: >
You're a seasoned researcher with a knack for uncovering the latest
developments in {topic}. Known for your ability to find the most relevant
information and present it in a clear and concise manner.
reporting_analyst:
role: >
{topic} Reporting Analyst
goal: >
Create detailed reports based on {topic} data analysis and research findings
backstory: >
You're a meticulous analyst with a keen eye for detail. You're known for
your ability to turn complex data into clear and concise reports, making
it easy for others to understand and act on the information you provide.

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@@ -1,16 +0,0 @@
research_task:
description: >
Conduct a thorough research about {topic}
Make sure you find any interesting and relevant information given
the current year is 2024.
expected_output: >
A list with 10 bullet points of the most relevant information about {topic}
agent: researcher
reporting_task:
description: >
Review the context you got and expand each topic into a full section for a report.
Make sure the report is detailed and contains any and all relevant information.
expected_output: >
A fully fledge reports with a title, mains topics, each with a full section of information.
agent: reporting_analyst

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@@ -1,58 +0,0 @@
from pydantic import BaseModel
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
# Uncomment the following line to use an example of a custom tool
# from demo_pipeline.tools.custom_tool import MyCustomTool
# Check our tools documentations for more information on how to use them
# from crewai_tools import SerperDevTool
class ResearchReport(BaseModel):
"""Research Report"""
title: str
body: str
@CrewBase
class ResearchCrew():
"""Research Crew"""
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
@agent
def researcher(self) -> Agent:
return Agent(
config=self.agents_config['researcher'],
verbose=True
)
@agent
def reporting_analyst(self) -> Agent:
return Agent(
config=self.agents_config['reporting_analyst'],
verbose=True
)
@task
def research_task(self) -> Task:
return Task(
config=self.tasks_config['research_task'],
)
@task
def reporting_task(self) -> Task:
return Task(
config=self.tasks_config['reporting_task'],
output_pydantic=ResearchReport
)
@crew
def crew(self) -> Crew:
"""Creates the Research Crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)

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@@ -1,51 +0,0 @@
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
# Uncomment the following line to use an example of a custom tool
# from {{folder_name}}.tools.custom_tool import MyCustomTool
# Check our tools documentations for more information on how to use them
# from crewai_tools import SerperDevTool
@CrewBase
class WriteLinkedInCrew():
"""Research Crew"""
agents_config = 'config/agents.yaml'
tasks_config = 'config/tasks.yaml'
@agent
def researcher(self) -> Agent:
return Agent(
config=self.agents_config['researcher'],
verbose=True
)
@agent
def reporting_analyst(self) -> Agent:
return Agent(
config=self.agents_config['reporting_analyst'],
verbose=True
)
@task
def research_task(self) -> Task:
return Task(
config=self.tasks_config['research_task'],
)
@task
def reporting_task(self) -> Task:
return Task(
config=self.tasks_config['reporting_task'],
output_file='report.md'
)
@crew
def crew(self) -> Crew:
"""Creates the {{crew_name}} crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)

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@@ -1,14 +0,0 @@
x_writer_agent:
role: >
Expert Social Media Content Creator specializing in short form written content
goal: >
Create viral-worthy, engaging short form posts that distill complex {topic} information
into compelling 280-character messages
backstory: >
You're a social media virtuoso with a particular talent for short form content. Your posts
consistently go viral due to your ability to craft hooks that stop users mid-scroll.
You've studied the techniques of social media masters like Justin Welsh, Dickie Bush,
Nicolas Cole, and Shaan Puri, incorporating their best practices into your own unique style.
Your superpower is taking intricate {topic} concepts and transforming them into
bite-sized, shareable content that resonates with a wide audience. You know exactly
how to structure a post for maximum impact and engagement.

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@@ -1,22 +0,0 @@
write_x_task:
description: >
Using the research report provided, create an engaging short form post about {topic}.
Your post should have a great hook, summarize key points, and be structured for easy
consumption on a digital platform. The post must be under 280 characters.
Follow these guidelines:
1. Start with an attention-grabbing hook
2. Condense the main insights from the research
3. Use clear, concise language
4. Include a call-to-action or thought-provoking question if space allows
5. Ensure the post flows well and is easy to read quickly
Here is the title of the research report you will be using
Title: {title}
Research:
{body}
expected_output: >
A compelling X post under 280 characters that effectively summarizes the key findings
about {topic}, starts with a strong hook, and is optimized for engagement on the platform.
agent: x_writer_agent

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@@ -1,36 +0,0 @@
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
# Uncomment the following line to use an example of a custom tool
# from demo_pipeline.tools.custom_tool import MyCustomTool
# Check our tools documentations for more information on how to use them
# from crewai_tools import SerperDevTool
@CrewBase
class WriteXCrew:
"""Research Crew"""
agents_config = "config/agents.yaml"
tasks_config = "config/tasks.yaml"
@agent
def x_writer_agent(self) -> Agent:
return Agent(config=self.agents_config["x_writer_agent"], verbose=True)
@task
def write_x_task(self) -> Task:
return Task(
config=self.tasks_config["write_x_task"],
)
@crew
def crew(self) -> Crew:
"""Creates the Write X Crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)

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@@ -1,39 +1,55 @@
#!/usr/bin/env python
import asyncio
from random import randint
from pydantic import BaseModel
from crewai.flow.flow import Flow, listen, start
from .crews.poem_crew.poem_crew import PoemCrew
# TODO: THERE SHOULD BE 3 FLOWS IN HERE: SIMPLE, ASYNC, BRANCHING (with router)
class PoemState(BaseModel):
sentence_count: int = 1
poem: str = ""
class ExampleState(BaseModel):
counter: int = 0
message: str = ""
class ExampleFlow(Flow[ExampleState]):
initial_state = ExampleState
class PoemFlow(Flow[PoemState]):
initial_state = PoemState
@start()
def start_method(self):
print("Starting the structured flow")
self.state.message = "Hello from structured flow"
def generate_sentence_count(self):
print("Generating sentence count")
# Generate a number between 1 and 5
self.state.sentence_count = randint(1, 5)
@listen(start_method)
def second_method(self, result):
print(f"Second method, received: {result}")
print(f"State before increment: {self.state}")
self.state.counter += 1
self.state.message += " - updated"
print(f"State after second_method: {self.state}")
return "Second result"
@listen(generate_sentence_count)
def generate_poem(self):
print("Generating poem")
print(f"State before poem: {self.state}")
poem_crew = PoemCrew().crew()
result = poem_crew.kickoff(inputs={"sentence_count": self.state.sentence_count})
print("Poem generated", result.raw)
self.state.poem = result.raw
print(f"State after generate_poem: {self.state}")
async def run():
@listen(generate_poem)
def save_poem(self):
print("Saving poem")
print(f"State before save_poem: {self.state}")
with open("poem.txt", "w") as f:
f.write(self.state.poem)
print(f"State after save_poem: {self.state}")
async def run():
"""
Run the flow.
"""
example_flow = ExampleFlow()
await example_flow.run()
poem_flow = PoemFlow()
await poem_flow.kickoff()
def main():
asyncio.run(run())
if __name__ == "__main__":
asyncio.run(run())
main()

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@@ -11,7 +11,8 @@ asyncio = "*"
[tool.poetry.scripts]
{{folder_name}} = "{{folder_name}}.main:main"
run_crew = "{{folder_name}}.main:main"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
build-backend = "poetry.core.masonry.api"

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@@ -50,7 +50,6 @@ class FlowMeta(type):
setattr(cls, "_start_methods", start_methods)
setattr(cls, "_listeners", listeners)
# Inject the state type hint
if "initial_state" in dct:
initial_state = dct["initial_state"]
if isinstance(initial_state, type) and issubclass(initial_state, BaseModel):
@@ -89,7 +88,7 @@ class Flow(Generic[T], metaclass=FlowMeta):
def state(self) -> T:
return self._state
async def run(self):
async def kickoff(self):
if not self._start_methods:
raise ValueError("No start method defined")