adds pipeline frame to the poc

This commit is contained in:
hajdul88 2025-08-03 11:51:08 +02:00
parent df17ae7720
commit 023f98b33e
3 changed files with 222 additions and 0 deletions

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import asyncio
import cognee
from cognee.shared.logging_utils import setup_logging, INFO
from cognee.triplet_embedding_poc.triplet_embedding_postprocessing import (
triplet_embedding_postprocessing,
)
job_1 = """
CV 1: Relevant
Name: Dr. Emily Carter
Contact Information:
Email: emily.carter@example.com
Phone: (555) 123-4567
Summary:
Senior Data Scientist with over 8 years of experience in machine learning and predictive analytics. Expertise in developing advanced algorithms and deploying scalable models in production environments.
Education:
Ph.D. in Computer Science, Stanford University (2014)
B.S. in Mathematics, University of California, Berkeley (2010)
Experience:
Senior Data Scientist, InnovateAI Labs (2016 Present)
Led a team in developing machine learning models for natural language processing applications.
Implemented deep learning algorithms that improved prediction accuracy by 25%.
Collaborated with cross-functional teams to integrate models into cloud-based platforms.
Data Scientist, DataWave Analytics (2014 2016)
Developed predictive models for customer segmentation and churn analysis.
Analyzed large datasets using Hadoop and Spark frameworks.
Skills:
Programming Languages: Python, R, SQL
Machine Learning: TensorFlow, Keras, Scikit-Learn
Big Data Technologies: Hadoop, Spark
Data Visualization: Tableau, Matplotlib
"""
job_2 = """
CV 2: Relevant
Name: Michael Rodriguez
Contact Information:
Email: michael.rodriguez@example.com
Phone: (555) 234-5678
Summary:
Data Scientist with a strong background in machine learning and statistical modeling. Skilled in handling large datasets and translating data into actionable business insights.
Education:
M.S. in Data Science, Carnegie Mellon University (2013)
B.S. in Computer Science, University of Michigan (2011)
Experience:
Senior Data Scientist, Alpha Analytics (2017 Present)
Developed machine learning models to optimize marketing strategies.
Reduced customer acquisition cost by 15% through predictive modeling.
Data Scientist, TechInsights (2013 2017)
Analyzed user behavior data to improve product features.
Implemented A/B testing frameworks to evaluate product changes.
Skills:
Programming Languages: Python, Java, SQL
Machine Learning: Scikit-Learn, XGBoost
Data Visualization: Seaborn, Plotly
Databases: MySQL, MongoDB
"""
job_3 = """
CV 3: Relevant
Name: Sarah Nguyen
Contact Information:
Email: sarah.nguyen@example.com
Phone: (555) 345-6789
Summary:
Data Scientist specializing in machine learning with 6 years of experience. Passionate about leveraging data to drive business solutions and improve product performance.
Education:
M.S. in Statistics, University of Washington (2014)
B.S. in Applied Mathematics, University of Texas at Austin (2012)
Experience:
Data Scientist, QuantumTech (2016 Present)
Designed and implemented machine learning algorithms for financial forecasting.
Improved model efficiency by 20% through algorithm optimization.
Junior Data Scientist, DataCore Solutions (2014 2016)
Assisted in developing predictive models for supply chain optimization.
Conducted data cleaning and preprocessing on large datasets.
Skills:
Programming Languages: Python, R
Machine Learning Frameworks: PyTorch, Scikit-Learn
Statistical Analysis: SAS, SPSS
Cloud Platforms: AWS, Azure
"""
job_4 = """
CV 4: Not Relevant
Name: David Thompson
Contact Information:
Email: david.thompson@example.com
Phone: (555) 456-7890
Summary:
Creative Graphic Designer with over 8 years of experience in visual design and branding. Proficient in Adobe Creative Suite and passionate about creating compelling visuals.
Education:
B.F.A. in Graphic Design, Rhode Island School of Design (2012)
Experience:
Senior Graphic Designer, CreativeWorks Agency (2015 Present)
Led design projects for clients in various industries.
Created branding materials that increased client engagement by 30%.
Graphic Designer, Visual Innovations (2012 2015)
Designed marketing collateral, including brochures, logos, and websites.
Collaborated with the marketing team to develop cohesive brand strategies.
Skills:
Design Software: Adobe Photoshop, Illustrator, InDesign
Web Design: HTML, CSS
Specialties: Branding and Identity, Typography
"""
job_5 = """
CV 5: Not Relevant
Name: Jessica Miller
Contact Information:
Email: jessica.miller@example.com
Phone: (555) 567-8901
Summary:
Experienced Sales Manager with a strong track record in driving sales growth and building high-performing teams. Excellent communication and leadership skills.
Education:
B.A. in Business Administration, University of Southern California (2010)
Experience:
Sales Manager, Global Enterprises (2015 Present)
Managed a sales team of 15 members, achieving a 20% increase in annual revenue.
Developed sales strategies that expanded customer base by 25%.
Sales Representative, Market Leaders Inc. (2010 2015)
Consistently exceeded sales targets and received the 'Top Salesperson' award in 2013.
Skills:
Sales Strategy and Planning
Team Leadership and Development
CRM Software: Salesforce, Zoho
Negotiation and Relationship Building
"""
async def main():
pre_graph_creation = False
if pre_graph_creation:
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
text_list = [job_1, job_2, job_3, job_4, job_5]
for text in text_list:
await cognee.add(text)
print(f"Added text: {text[:35]}...")
await cognee.cognify()
await triplet_embedding_postprocessing()
if __name__ == "__main__":
logger = setup_logging(log_level=INFO)
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
loop.run_until_complete(main())
finally:
loop.run_until_complete(loop.shutdown_asyncgens())

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from typing import Any
from cognee.modules.pipelines.operations.run_tasks_base import run_tasks_base
from cognee.modules.users.methods import get_default_user
from cognee.shared.logging_utils import get_logger
from cognee.modules.pipelines.tasks.task import Task
logger = get_logger("triplet_embedding_poc")
async def get_triplets_from_graph_store(data) -> Any:
for i in range(0, 5):
yield i
async def add_triplets_to_collection(data) -> None:
print(data)
async def get_triplet_embedding_tasks() -> list[Task]:
triplet_embedding_tasks = [
Task(get_triplets_from_graph_store),
Task(add_triplets_to_collection),
]
return triplet_embedding_tasks
async def triplet_embedding_postprocessing():
tasks = await get_triplet_embedding_tasks()
async for result in run_tasks_base(tasks, user=await get_default_user(), data=[]):
print(result)