ebf1f81b35
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin
218 lines
6.7 KiB
Python
218 lines
6.7 KiB
Python
import cognee
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import asyncio
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from cognee.shared.logging_utils import get_logger, ERROR
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from cognee.modules.metrics.operations import get_pipeline_run_metrics
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from cognee.api.v1.search import SearchType
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job_1 = """
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CV 1: Relevant
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Name: Dr. Emily Carter
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Contact Information:
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Email: emily.carter@example.com
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Phone: (555) 123-4567
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Summary:
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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.
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Education:
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Ph.D. in Computer Science, Stanford University (2014)
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B.S. in Mathematics, University of California, Berkeley (2010)
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Experience:
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Senior Data Scientist, InnovateAI Labs (2016 – Present)
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Led a team in developing machine learning models for natural language processing applications.
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Implemented deep learning algorithms that improved prediction accuracy by 25%.
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Collaborated with cross-functional teams to integrate models into cloud-based platforms.
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Data Scientist, DataWave Analytics (2014 – 2016)
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Developed predictive models for customer segmentation and churn analysis.
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Analyzed large datasets using Hadoop and Spark frameworks.
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Skills:
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Programming Languages: Python, R, SQL
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Machine Learning: TensorFlow, Keras, Scikit-Learn
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Big Data Technologies: Hadoop, Spark
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Data Visualization: Tableau, Matplotlib
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"""
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job_2 = """
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CV 2: Relevant
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Name: Michael Rodriguez
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Contact Information:
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Email: michael.rodriguez@example.com
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Phone: (555) 234-5678
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Summary:
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Data Scientist with a strong background in machine learning and statistical modeling. Skilled in handling large datasets and translating data into actionable business insights.
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Education:
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M.S. in Data Science, Carnegie Mellon University (2013)
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B.S. in Computer Science, University of Michigan (2011)
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Experience:
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Senior Data Scientist, Alpha Analytics (2017 – Present)
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Developed machine learning models to optimize marketing strategies.
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Reduced customer acquisition cost by 15% through predictive modeling.
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Data Scientist, TechInsights (2013 – 2017)
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Analyzed user behavior data to improve product features.
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Implemented A/B testing frameworks to evaluate product changes.
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Skills:
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Programming Languages: Python, Java, SQL
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Machine Learning: Scikit-Learn, XGBoost
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Data Visualization: Seaborn, Plotly
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Databases: MySQL, MongoDB
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"""
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job_3 = """
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CV 3: Relevant
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Name: Sarah Nguyen
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Contact Information:
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Email: sarah.nguyen@example.com
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Phone: (555) 345-6789
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Summary:
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Data Scientist specializing in machine learning with 6 years of experience. Passionate about leveraging data to drive business solutions and improve product performance.
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Education:
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M.S. in Statistics, University of Washington (2014)
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B.S. in Applied Mathematics, University of Texas at Austin (2012)
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Experience:
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Data Scientist, QuantumTech (2016 – Present)
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Designed and implemented machine learning algorithms for financial forecasting.
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Improved model efficiency by 20% through algorithm optimization.
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Junior Data Scientist, DataCore Solutions (2014 – 2016)
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Assisted in developing predictive models for supply chain optimization.
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Conducted data cleaning and preprocessing on large datasets.
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Skills:
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Programming Languages: Python, R
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Machine Learning Frameworks: PyTorch, Scikit-Learn
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Statistical Analysis: SAS, SPSS
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Cloud Platforms: AWS, Azure
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"""
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job_4 = """
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CV 4: Not Relevant
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Name: David Thompson
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Contact Information:
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Email: david.thompson@example.com
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Phone: (555) 456-7890
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Summary:
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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.
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Education:
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B.F.A. in Graphic Design, Rhode Island School of Design (2012)
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Experience:
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Senior Graphic Designer, CreativeWorks Agency (2015 – Present)
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Led design projects for clients in various industries.
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Created branding materials that increased client engagement by 30%.
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Graphic Designer, Visual Innovations (2012 – 2015)
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Designed marketing collateral, including brochures, logos, and websites.
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Collaborated with the marketing team to develop cohesive brand strategies.
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Skills:
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Design Software: Adobe Photoshop, Illustrator, InDesign
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Web Design: HTML, CSS
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Specialties: Branding and Identity, Typography
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"""
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job_5 = """
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CV 5: Not Relevant
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Name: Jessica Miller
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Contact Information:
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Email: jessica.miller@example.com
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Phone: (555) 567-8901
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Summary:
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Experienced Sales Manager with a strong track record in driving sales growth and building high-performing teams. Excellent communication and leadership skills.
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Education:
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B.A. in Business Administration, University of Southern California (2010)
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Experience:
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Sales Manager, Global Enterprises (2015 – Present)
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Managed a sales team of 15 members, achieving a 20% increase in annual revenue.
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Developed sales strategies that expanded customer base by 25%.
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Sales Representative, Market Leaders Inc. (2010 – 2015)
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Consistently exceeded sales targets and received the 'Top Salesperson' award in 2013.
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Skills:
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Sales Strategy and Planning
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Team Leadership and Development
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CRM Software: Salesforce, Zoho
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Negotiation and Relationship Building
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"""
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async def main(enable_steps):
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# Step 1: Reset data and system state
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if enable_steps.get("prune_data"):
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await cognee.prune.prune_data()
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print("Data pruned.")
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if enable_steps.get("prune_system"):
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await cognee.prune.prune_system(metadata=True)
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print("System pruned.")
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# Step 2: Add text
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if enable_steps.get("add_text"):
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text_list = [job_1, job_2, job_3, job_4, job_5]
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for text in text_list:
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await cognee.add(text)
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print(f"Added text: {text[:35]}...")
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# Step 3: Create knowledge graph
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if enable_steps.get("cognify"):
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pipeline_run = await cognee.cognify()
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print("Knowledge graph created.")
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# Step 4: Calculate descriptive metrics
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if enable_steps.get("graph_metrics"):
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await get_pipeline_run_metrics(pipeline_run, include_optional=True)
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print("Descriptive graph metrics saved to database.")
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# Step 5: Query insights
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if enable_steps.get("retriever"):
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search_results = await cognee.search(
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query_type=SearchType.GRAPH_COMPLETION, query_text="Who has experience in design tools?"
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)
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print(search_results)
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if __name__ == "__main__":
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logger = get_logger(level=ERROR)
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rebuild_kg = True
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retrieve = True
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steps_to_enable = {
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"prune_data": rebuild_kg,
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"prune_system": rebuild_kg,
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"add_text": rebuild_kg,
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"cognify": rebuild_kg,
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"graph_metrics": rebuild_kg,
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"retriever": retrieve,
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}
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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loop.run_until_complete(main(steps_to_enable))
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finally:
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loop.run_until_complete(loop.shutdown_asyncgens())
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