o 1h%c@sddlmZddlmZddlmZmZddlZddlZddl m Z e dde dZ e d Z e d Ze d Zejd e e ed dZejedGdddejZGdddejZGdddeZGdddeZdS))Type)BaseTool) BaseModelFieldN) load_dotenvz7/home/azureuser/microlearn/backend/prompt_opt_dspy/.env) dotenv_path AZURE_API_KEYAZURE_API_HOSTAZURE_DEPLOYMENT_IDAZURE_API_VERSIONzazure/Csqr-gpt-4o-minig)api_keyapi_base api_version temperature)lmc@sfeZdZUdZeZeed<eZ eed<eZ eed<eZ eed<ej ddZ eed<d S) RestructureSignatureu Restructure like a syllabus for the user journey or update the existing user journeys based on feedback. read the content {content} and make a new user journey if the feedack is "First iteration", Otherwise update the user journey in the {content} according to the user feedback {feedback} The user's company context is as follows: Company Name : {Company_Name} Industry : {Industry} Company Size : {Company_Size} Business Model : {Business_Model} Top Use Cases : {Top_Use_Cases} Learning Focus : {Learning_Focus} Tech Stack : {Tech_stack} Compliance : {Compliance} # User journey Creation Task ## Objective You are an intelligent and experienced data restructuring agent. Your task is to review the researched content provided and make a structured user journey. You must strictly adhere to the following guidelines. ## Guidlines - Use the level {Level} and user's experience with the topic {Experience} to decide the depth and balance of the user journey. - The users motive for taking this micro learning user journey is {motive}. - The user's knowledge level to different skills are as follows: (In percentage) 1. Knowlege in SQL - {SQL} 2. Data visualisation skill - {Viz} 3. Statistical Anlysis skill - {Stats} 4. Business Communication skill - {Comm} 5. Data storytelling skill - {Story} - Set the content accordingly. - Divide the provided content to different stages - The toatal available time to cover the user journey is {available_time}. - **The sum of all stage durations MUST equal {available_time}. Do not exceed this.** - Include case studies where relevant, but **no projects**. - Based on the total available time, logically organize the topics into a structured, multi-stage user journey. - Distribute the available time ({available_time}) across the stages depending on content, focus and complexity. - Ensure the **sum of durations** across **all stages** is **{available_time}** - The user is either non-technical or minimally technical. ## Additional Instructions - **Before generating the stages, calculate the total duration and verify that the sum equals {available_time}.** - If necessary, adjust durations proportionally to maintain balance and alignment with the available time. - Do not comment or explain anything outside of the user journey content. ## Here is the researched content : {content} A detailed, structured user journey for a user on the given content, tailored to the {Level} level. The user is either a non technical or minimally technical person. - Generate a compelling main heading based on the user's Job Title and Topic. - The heading should reflect the relevance of the topic in the context of the user's role and the user's industry. - Keep it professional, engaging, and suitable. Job Title: {Job_Title} Divide the user journey into multiple stages. Each stage should contain: 1. **heading** for the stage (include the stage number) 2. **Focus** 3. **Outcome** 4. **Duration** 5. **Topics Covered** — select relevant topics from the researched user journey content. The final stage should focus on application of the user's existing skills. Ensure the sum of durations across all stages is {available_time}. Do not include any project in the user journey, can include case studies. Should not comment anything other than the user journey. Format as markdown without '```'. Ensure the sum of durations across all stages is **exactly {available_time}**. Example output with two stages: # **Main Heading** ## **Stage1-Sub Heading** ### **Focus** Focus of stage1 ### **Outcome** Expected outcome of stage 1 ### **Duration** Duration1(Specify **ONLY** the time required to complete the stage1) ### **Topics Covered** - Topic1 - Topic2 ## **Stage2-Sub Heading** ### **Focus** Focus of stage2 ### **Outcome** Expected outcome of stage 2 ### **Duration** Duration2(Specify **ONLY** the time required to complete the stage2) ### **Topics Covered** - Topic1 - Topic2 Note: Duration1 + Duration2 should be equal to {available_time} Example output with three stages: # **Main Heading** ## **Stage1-Sub Heading** ### **Focus** Focus of stage1 ### **Outcome** Expected outcome of stage 1 ### **Duration** Duration1(Specify **ONLY** the time required to complete the stage1) ### **Topics Covered** - Topic1 - Topic2 ## **Stage2-Sub Heading** ### **Focus** Focus of stage2 ### **Outcome** Expected outcome of stage 2 ### **Duration** Duration2(Specify **ONLY** the time required to complete the stage2) ### **Topics Covered** - Topic1 - Topic2 ## **Stage3-Sub Heading** ### **Focus** Focus of stage3 ### **Outcome** Expected outcome of stage 3 ### **Duration** Duration3(Specify **ONLY** the time required to complete the stage2) ### **Topics Covered** - Topic1 - Topic2 Note: Duration1 + Duration2 + Duration3 should be equal to {available_time} ## Important: - **Sum of durations must equal {available_time}.** - No projects, but case studies allowed. - Markdown format only, no extra text or commentary. contentfeedbackcompany_context user_contextzgStructured multi-stage user journey in markdown format with durations summing exactly to available_time)descrestructured_journeyN)__name__ __module__ __qualname____doc__dspy InputFieldrstr__annotations__rrr OutputFieldrr!r!/home/azureuser/microlearn/backend/user_journey_with_openai/agentic_workflow/src/user_journey_service/tools/custom_restructure_tool.pyrs rcs$eZdZfddZddZZS)RestructureModulecsttt|_tt}tjddddddddd d tjd d d dddddd d g}dd}tj|d}|j ||d||_t dt |dS)Na - **Topic Area**: Fundamentals - **Subtopics/Concepts**: - Introduction to Artificial Intelligence in Healthcare - Overview of Machine Learning and its Role in Patient Care - Types of AI: Supervised, Unsupervised, and Reinforcement Learning - Ethical Considerations in AI Applications - Understanding Data Privacy: HIPAA and GDPR Compliance - **Topic Area**: Applications - **Subtopics/Concepts**: - AI in Predictive Analytics: Enhancing Patient Outcomes - AI in Patient Monitoring: Wearables and Remote Monitoring - Use of Natural Language Processing (NLP) in Clinical Documentation - Chatbots and Virtual Health Assistants for Patient Engagement - Remote Diagnosis and Telemedicine Solutions - **Topic Area**: Tools and Techniques - **Subtopics/Concepts**: - Overview of Data Analytics Tools: Python and PyTorch for healthcare - Using AWS HealthLake for Data Management in Healthcare - Data Visualization Tools for Presenting AI Insights - Techniques in Data Preprocessing and Feature Engineering - Implementing AI Models for Real-Time Patient Monitoring - **Topic Area**: Advanced Topics - **Subtopics/Concepts**: - Deep Learning Applications in Medical Imaging - AI-Driven Decision Support Systems for Healthcare Professionals - Integrating AI into Existing Clinical Workflows - Case Studies on AI Success Stories in Patient Care - Challenges and Limitations of AI in Healthcare Practice - **Topic Area**: Current Trends - **Subtopics/Concepts**: - Rise of Telehealth Solutions and AI Integration - Innovations in Wearable Health Technology and AI - The Role of AI in Addressing Pandemic Challenges - The Future of AI in Personalized Medicine - Collaborations Between Tech Companies and Healthcare Institutions This structured user journey content is designed to provide a comprehensive overview of AI in Healthcare, particularly aligned with the interests and learning objectives of a Healthcare Analyst looking to explore how AI can improve patient care. zFirst iterationa Company Name: MediCore Solutions Industry: Healthcare Company Size: 2000+ employees Business Model: B2B and B2C SaaS Top Use Cases: Predictive analytics, Patient monitoring Learning Focus: AI diagnostics and workflow automation Tech Stack: Python, PyTorch, AWS HealthLake Compliance: HIPAA, GDPR a Job Title: Healthcare Analyst Level: Intermediate Experience: 2 year motive: Exploring AI applications to improve patient care Knowledge in SQL: 70% Data Visualization Skill: 60% Statistical Analysis Skill: 40% Business Communication Skill: 50% Data Storytelling Skill: 45% Available Time: 240 minutes u # **Enhancing Patient Care through AI: A Healthcare Analyst’s Guide** ## **Stage 1 - Introduction to AI in Healthcare** ### **Focus** Understanding the fundamental concepts of AI and its role in the healthcare industry. ### **Outcome** Establish a foundational knowledge of AI and machine learning principles, and comprehend ethical considerations and compliance regulations in healthcare. ### **Duration** 60 minutes ### **Topics Covered** - Introduction to Artificial Intelligence in Healthcare - Overview of Machine Learning and its Role in Patient Care - Ethical Considerations in AI Applications - Understanding Data Privacy: HIPAA and GDPR Compliance ## **Stage 2 - AI Applications in Patient Care** ### **Focus** Exploring how AI is applied to diverse aspects of patient care, enhancing outcomes and engagement. ### **Outcome** Gain insights into practical applications of AI in predictive analytics, patient monitoring, and telemedicine, including the role of NLP and chatbots. ### **Duration** 90 minutes ### **Topics Covered** - AI in Predictive Analytics: Enhancing Patient Outcomes - AI in Patient Monitoring: Wearables and Remote Monitoring - Use of Natural Language Processing (NLP) in Clinical Documentation - Chatbots and Virtual Health Assistants for Patient Engagement - Remote Diagnosis and Telemedicine Solutions ## **Stage 3 - Tools, Techniques, and Advanced Topics** ### **Focus** Familiarizing with the technical tools and advanced applications of AI in healthcare while reviewing success stories. ### **Outcome** Understand data analytics tools, case studies of successful AI applications, and integration strategies for AI within existing clinical workflows. ### **Duration** 90 minutes ### **Topics Covered** - Overview of Data Analytics Tools: Python and PyTorch for healthcare - Using AWS HealthLake for Data Management in Healthcare - Deep Learning Applications in Medical Imaging - AI-Driven Decision Support Systems for Healthcare Professionals - Case Studies on AI Success Stories in Patient Care Total Duration: 60 + 90 + 90 = 240 minutes )rrrrrrrrrz'Research on SQL optimization techniquesz6Focus on advanced optimizations for experienced users.a Company Name: FinNext Global Industry: FinTech Company Size: 1000-1500 employees Business Model: B2B Top Use Cases: Cross-border payments, Fraud prevention Learning Focus: Blockchain adoption and market opportunities Tech Stack: Ethereum, Hyperledger, Azure Blockchain Service Compliance: KYC, AML a Job Title: Business Development Executive Level: Beginner Experience: 5 years motive: Understanding blockchain for business strategy alignment Knowledge in SQL: 60% Data Visualization Skill: 70% Statistical Analysis Skill: 40% Business Communication Skill: 50% Data Storytelling Skill: 45% Available Time: 240 minutes a # **Understanding Blockchain for Business Strategy Alignment in FinTech** ## **Stage 1 - Introduction to Blockchain Fundamentals** ### **Focus** Introduce the fundamental concepts of blockchain technology. ### **Outcome** Gain foundational knowledge about blockchain and its significance in the FinTech landscape. ### **Duration** 60 minutes ### **Topics Covered** - Introduction to Blockchain - Key Terms - Differences between Blockchain Types - Basic Mechanisms ## **Stage 2 - Blockchain Applications in FinTech** ### **Focus** Explore specific blockchain applications relevant to FinTech, particularly in payments and fraud detection. ### **Outcome** Understand how blockchain enhances business processes within the FinTech sector. ### **Duration** 60 minutes ### **Topics Covered** - Cross-border Payments - Fraud Prevention - Digital Identity Management ## **Stage 3 - Tools and Platforms for Blockchain** ### **Focus** Familiarize with key blockchain platforms and tools that can be leveraged in business strategies. ### **Outcome** Identify relevant blockchain tools and platforms that can integrate into existing FinTech systems. ### **Duration** 50 minutes ### **Topics Covered** - Overview of Ethereum and Hyperledger - Azure Blockchain Service - Integration with Existing Systems ## **Stage 4 - Identifying Market Opportunities** ### **Focus** Analyze current trends, competition, and customer engagement opportunities within blockchain adoption. ### **Outcome** Develop insights on market opportunities and strategic advantages offered by blockchain. ### **Duration** 40 minutes ### **Topics Covered** - Trends in Blockchain Adoption - Competitive Landscape - Customer Engagement ## **Stage 5 - Business Strategy Alignment** ### **Focus** Align blockchain knowledge with business strategy and growth opportunities. ### **Outcome** Formulate strategic partnerships and business models leveraging blockchain technology. ### **Duration** 30 minutes ### **Topics Covered** - Strategic Partnerships - Business Models leveraging Blockchain - Measuring ROI ## **Stage 6 - Future Developments and Skills Application** ### **Focus** Understand future trends and how to continue developing skills in blockchain. ### **Outcome** Identify emerging trends and resources for continuous learning, and apply existing skills in statistical analysis and data visualization to business scenarios. ### **Duration** 40 minutes ### **Topics Covered** - Emerging Trends - Regulatory Landscape - Education and Skill Development **Total Duration: 240 minutes** cSs$td|jvot|jd|jvS)NStage)intrrcount)goldpredtracer!r!r"restructure_metrics$z6RestructureModule.__init__..restructure_metric)metric)trainsetz=== Optimized ===) super__init__rPredictrrestructure_predictorExample with_inputsBootstrapFewShotcompileprint)self predictorr,r* optimizer __class__r!r"r.s8   ,   s   gb  zRestructureModule.__init__cCs|j||||dS)N)rrrr)r0)r6rrrrr!r!r"forwards zRestructureModule.forward)rrrr.r; __classcell__r!r!r9r"r#s rr#c@seZdZUdZedddZeed<edddZeed<edddZ eed <edd dZ eed <edd dZ eed <edddZ eed<edddZ eed<edddZeed<edddZeed<edddZeed<edddZeed<edddZeed<edddZeed<edddZeed<edd dZeed!<edd"dZeed#<edd$dZeed%<edd&dZeed'<edd(dZeed)<edd*dZeed+<d,S)-RestructureToolInputz)Input schema for RestructureAnalysisTool..z7The researched content to structure into a user journey) descriptionrz1User feedback (First iteration or update request)rzName of the company Company_NamezIndustry of the companyIndustryzSize of the company Company_SizezCompany's business modelBusiness_Modelz$Top use cases the company focuses on Top_Use_CaseszLearning focus for the userLearning_FocuszCompany's tech stack Tech_stackz Relevant compliance requirements CompliancezJob title of the user Job_Titlez1Learning level (Beginner, Intermediate, Advanced)Levelz User's experience with the topic ExperiencezUser's motive for researchmotivezKnowledge in SQL (percentage)SQLz%Data visualization skill (percentage)Vizz'Statistical analysis skill (percentage)Statsz)Business communication skill (percentage)Commz$Data storytelling skill (percentage)Storyz6Total available time for the user journey (in minutes)available_timeN)rrrrrrrrrr?r@rArBrCrDrErFrGrHrIrJrKr%rLrMrNrOrPr!r!r!r"r=s, r=c*@seZdZUdZeed<dZeed<eZe e ed<dededed ed ed ed ed ededededededede de de de de de def*ddZ dS)RestructureAnalysisToolzRestructure Analysis ToolnamezRestructures researched content into a structured user journey syllabus based on user feedback, company context, and user profile. Ensures durations sum exactly to available_time.r> args_schemarrr?r@rArBrCrDrErFrGrHrIrJrKrLrMrNrOrPreturncCsd|d|d|d|d|d|d| d| d }d | d | d | d |d|d|d|d|d|d|d }t}|||||}|jS)Nz Company Name: z Industry: z Company Size: z Business Model: z Top Use Cases: z Learning Focus: z Tech Stack: z Compliance: z z Job Title: z Level: z Experience: z Motive: z Knowledge in SQL: z$% Data Visualization Skill: z&% Statistical Analysis Skill: z(% Business Communication Skill: z#% Data Storytelling Skill: z% Available Time: )r#r;r)r6rrr?r@rArBrCrDrErFrGrHrIrJrKrLrMrNrOrPrr restructureresultr!r!r"_runsR    zRestructureAnalysisTool._runN) rrrrRrrr>r=rSrrr%rWr!r!r!r"rQs`       rQ)typingr crewai.toolsrpydanticrrrosdotenvrgetenv azure_api_keyazure_api_hostazure_deployment_idazure_api_versionLMr configure SignaturerModuler#r=rQr!r!r!r"s2        |