o 1h@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) DefaultsEstimatorSignaturea+ User's default skill estimator Analyse the user You have the ability to analyze a user's profile, context, and prior knowledge to estimate their default proficiency levels across various skill categories. You are an expert skill analyser based on the context. Your task is to analyse the user profile and determine the approximate distribution (in percentages) across the following five skill categories: 1. SQL (Out of 100%) 2. Data Visualization (Viz) (Out of 100%) 3. Statistical Analysis (Stats) (Out of 100%) 4. Business Communication (Comm) (Out of 100%) 5. Data Storytelling (Story) (Out of 100%) The percentages may overlap and should reflect the level of each skill for the user in their current role. User Context: - Role: {Job_Title} - Topic: {topic} - Experience with the topic - {topic}: {Experience} - Technical Preference: {Level} ## SQL - ....% ## Viz - ....% ## Stats - ....% ## Comm - ....% ## Story - ....% Should not include any other comments. Job_Titletopic ExperienceLevelzKPercentages across SQL, Viz, Stats, Comm, Story. Format only with headings.)descskill_distributionN)__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_default_estimator_tool.pyrs rcs$eZdZfddZddZZS)DefaultsEstimatorModulecsttt|_tt}tjddddddddd d tjd d d dddddd d g}dd}tj|d}|j ||d||_ t dt |dS)Nz Data AnalystSQLz2 years Intermediatez ## SQL - 70% ## Viz - 60% ## Stats - 50% ## Comm - 55% ## Story - 45% )rrrrrrrrrzBusiness AnalystzData Visualizationz3 yearsBeginnerz ## SQL - 40% ## Viz - 75% ## Stats - 50% ## Comm - 70% ## Story - 65% cs$|jttfdddDS)Nc3s|]}|vVqdSNr!).0skilloutr!r" hszMDefaultsEstimatorModule.__init__..estimator_metric..)sqlvizstatscommstory)rlowerintall)goldpredtracer!r*r"estimator_metrices z:DefaultsEstimatorModule.__init__..estimator_metric)metric)trainsetz.=== Optimized Defaults Estimator Predictor ===) super__init__rPredictrrestructure_predictorExample with_inputsBootstrapFewShotcompiledefaults_estimator_predictorprint)self predictorr:r8 optimizer __class__r!r"r<Bs4       z DefaultsEstimatorModule.__init__cCs|j||||dS)N)rrrr)rC)rErrrrr!r!r"forwardss zDefaultsEstimatorModule.forward)rrrr<rJ __classcell__r!r!rHr"r#As 1r#c@sbeZdZUdZedddZeed<edddZeed<edddZ eed <edd dZ eed <d S) DefaultsEstimatorInputz'Input schema for DefaultsEstimatorTool..zUser's job title) descriptionrzTopic of interest or focus arearz User's experience with the topicrz1Learning level (Beginner, Intermediate, Advanced)rN) rrrrrrrrrrrr!r!r!r"rL|s rLc @sTeZdZUdZeed<dZeed<eZe e ed<dededed ed ef d d Z d S)DefaultsEstimatorToolzDefaults Estimator ToolnamezAnalyzes a user's profile and context to estimate their default proficiency levels across SQL, Data Visualization, Statistical Analysis, Business Communication, and Data Storytelling.rM args_schemarrrrreturncCst}|||||}|jSr')r#rJr)rErrrr estimatorresultr!r!r"_runszDefaultsEstimatorTool._runN) rrrrOrrrMrLrPrrrTr!r!r!r"rNs  "rN)typingr crewai.toolsrpydanticrrrosdotenvrgetenv azure_api_keyazure_api_hostazure_deployment_idazure_api_versionLMr configure SignaturerModuler#rLrNr!r!r!r"s.        %;