o Ki@s^ddlZddlZddlmZmZmZmZddlmZddl m Z ddl Z ddl m Z ddlmZddlmZddlmZdd lmZejejd eeZeGd d d ZeGd ddZeGdddZeGdddZeGdddZeGdddZGdddZ GdddZ!GdddZ"GdddZ#dd Z$ed!kre$dSdS)"N)DictListOptionalTuple) dataclass)SequenceMatcher)Counter)datetime) ChatOllama)PromptTemplate) HumanMessage)levelc@sBeZdZUdZeed<eed<dZeeed<dZ eeed<dS)Skillz Data class for skill informationskill_id skill_nameN skill_level skill_count) __name__ __module__ __qualname____doc__int__annotations__strrrrrr:/var/www/eduai.edurigo.com/tna/testing/tna_skill_second.pyrs rc@s>eZdZUdZeed<eed<eed<eed<eeed<dS)Coursez!Data class for course information course_idnameshort_description descriptionskillsN)rrrrrrrrrrrrs rc@sJeZdZUdZeed<eed<eed<eeed<eeed<eed<dS) SkillAnalysisRequestz%Data class for skill analysis request user_query admin_namedepartment_namefiltered_skillsall_skills_dataall_courses_dataN) rrrrrrrrrrrrrr""s    r"c@sBeZdZUdZeed<eed<eed<eed<eed<eed<dS) SkillRecommendationz#Data class for skill recommendationrrrprioritysource justificationN)rrrrrrrrrrrr),s  r)c@sFeZdZUdZeeed<eed<eed<e ed<eed<eed<dS) SkillAnalysisResponsez&Data class for skill analysis responserecommended_skillsanalysis_summarydepartment_coveragetotal_skills_recommended case_appliedidentified_fieldN) rrrrrr)rrfloatrrrrrr-6s   r-c@sfeZdZUdZeed<eed<eed<eed<eed<eed<e e ed<eed <eed <eed <d S) AnalysisResultz'Data class for complete analysis resultsuccessr3r2r1r0r/r.r#r$r%N) rrrrboolrrrr4rr)rrrrr5@s   r5c @seZdZdZd:defddZddZded ed efd d Zd ede e d e e fddZ dede edede e d e e f ddZ dedede e d e e fddZ dedede e d e e fddZded ede eded e ef ddZdedede ededed e ef ddZdedededed e ef d d!Zdedededed e ef d"d#Zd$ed efd%d&Zd'efd(d)Zd$ed efd*d+Zd,e ede e d e e fd-d.Zd/ed efd0d1Zd2ed e efd3d4Zd5ed6ed efd7d8Zd9S);SkillInferenceEnginezJHandles skill inference using LLM with enhanced specificity-aware approach gemma3:4b model_namec CsTzt|d|_d|_td|WdSty)}z td|d}~ww)zInitialize the LLM model)modelrz"Initialized Skill LLM with model: z Failed to initialize Skill LLM: N)r llm total_tokensloggerinfo Exceptionerror)selfr:errr__init__Qs zSkillInferenceEngine.__init__cCs@t|drt|jdd}t|jdd}|j||7_dSdS)z0Add token usage from LLM response to total countusage_metadata input_tokensr output_tokensN)hasattrgetattrrEr=)rBresponserFrGrrr add_tokens[s zSkillInferenceEngine.add_tokensr#r%returnc Cstddgdd}z'|j||d}|jt|dg}||||j}t d||WSt yQ}zt d|d d gd d d WYd}~Sd}~ww)a3 Enhanced Step 1: Identify the field/domain with specificity analysis Args: user_query: User's business goal or challenge department_name: Target department name Returns: Dictionary containing field analysis with specificity information r#r%u[ You are an expert business analyst specializing in identifying professional fields and domains. User Goal/Challenge: {user_query} Department: {department_name} Analyze the user's goal and provide a detailed field analysis including specificity level. SPECIFICITY LEVELS: - GENERAL: Broad, vague requests like "improve tech skills", "better at development", "enhance coding" - SPECIFIC: Domain-focused like "improve frontend skills", "better at web development", "enhance mobile development" - HIGHLY_SPECIFIC: Technology-specific like "improve Angular skills", "better at React development", "enhance AWS cloud skills" ANALYSIS REQUIRED: 1. Identify the primary professional field/domain 2. Determine specificity level of the request 3. Extract any specific technologies/tools mentioned 4. Determine if this requires broad exploration or targeted learning Return your analysis in this EXACT JSON format: {{ "primary_field": "specific field name", "specificity_level": "GENERAL|SPECIFIC|HIGHLY_SPECIFIC", "key_technologies": ["tech1", "tech2"], "skill_focus": "broad|targeted", "learning_approach": "exploration|specialization|mastery" }} EXAMPLES: "improve tech skills" → {{"primary_field": "Software Development", "specificity_level": "GENERAL", "key_technologies": [], "skill_focus": "broad", "learning_approach": "exploration"}} "improve Angular skills" → {{"primary_field": "Frontend Development", "specificity_level": "HIGHLY_SPECIFIC", "key_technologies": ["Angular", "TypeScript"], "skill_focus": "targeted", "learning_approach": "mastery"}} "improve web development" → {{"primary_field": "Web Development", "specificity_level": "SPECIFIC", "key_technologies": ["HTML", "CSS", "JavaScript"], "skill_focus": "broad", "learning_approach": "specialization"}} Field Analysis: input_variablestemplate)r#r%contentzField analysis: zError in field identification: GeneralGENERALbroad exploration primary_fieldspecificity_levelkey_technologies skill_focuslearning_approachN) r formatr<invoker rK_parse_field_analysisrQr>r?r@rA)rBr#r%prompt_templateformatted_promptrJfield_analysisrCrrridentify_field_domainbs0 )  z*SkillInferenceEngine.identify_field_domainrar'cCsh|d}|d}|d}ddd|D}|dkr"|||||S|dkr-||||S||||S) aY Enhanced Step 2: Filter organizational skills based on field analysis and specificity Args: field_analysis: Result from identify_field_domain with specificity info all_skills_data: Complete list of organizational skills Returns: List of field-relevant organizational skills rWrXrY cSs&g|]}d|dd|ddqS)z- rz (ID: r)r.0skillrrr szNSkillInferenceEngine.filter_relevant_organizational_skills..HIGHLY_SPECIFICSPECIFIC)join_filter_highly_specific_skills_filter_specific_skills_filter_general_skills)rBrar'rWrXrY skills_textrrr%filter_relevant_organizational_skillss  z:SkillInferenceEngine.filter_relevant_organizational_skillsrWrYroc Csd|}tgddd}z3|j|||d}|jt|dg}||||j} | | |} t dt | d|| WSt y\} zt d| gWYd } ~ Sd } ~ ww) z5Filter skills for highly specific technology requests, )rWrYroa HIGHLY SPECIFIC SKILL FILTERING for {primary_field} Target Technologies: {key_technologies} Available Skills: {skills_text} Since this is a HIGHLY SPECIFIC request focusing on {key_technologies}, filter skills that are: 1. DIRECTLY related to {key_technologies} 2. Essential prerequisites for {key_technologies} 3. Advanced concepts that build upon {key_technologies} 4. Testing, debugging, or deployment tools for {key_technologies} 5. Integration technologies that work with {key_technologies} Be VERY SELECTIVE - only include skills that have clear relevance to {key_technologies}. Exclude general programming concepts unless they're specifically crucial for {key_technologies}. Return ONLY the skill names that are relevant, one per line: - Skill Name 1 - Skill Name 2 ... Relevant Skills for {key_technologies}: rMrP Filtered z highly specific skills for z*Error in highly specific skill filtering: N)rkr r\r<r]r rK_parse_skills_from_responserQ_match_skills_to_datar>r?lenr@rA) rBrWrYror' key_tech_strr_r`rJrelevant_skill_namesrelevant_skillsrCrrrrls,    z3SkillInferenceEngine._filter_highly_specific_skillsc Ctddgdd}z2|j||d}|jt|dg}||||j}|||}t dt |d||WSt yV} zt d | gWYd } ~ Sd } ~ ww) z*Filter skills for specific domain requestsrWroa SPECIFIC SKILL FILTERING for {primary_field} Available Skills: {skills_text} Since this is a SPECIFIC domain request for {primary_field}, filter skills that are: 1. Core skills essential to {primary_field} 2. Common tools and technologies used in {primary_field} 3. Methodologies and practices specific to {primary_field} 4. Soft skills that are particularly valuable in {primary_field} 5. Industry-standard technologies for {primary_field} Include both technical and soft skills that are domain-relevant. Be moderately selective - include skills that are commonly needed in {primary_field}. Return ONLY the skill names that are relevant, one per line: - Skill Name 1 - Skill Name 2 ... Relevant Skills for {primary_field}: rMrWrorPrrz specific domain skills for z#Error in specific skill filtering: Nr r\r<r]r rKrsrQrtr>r?rur@rA rBrWror'r_r`rJrwrxrCrrrrm(   z,SkillInferenceEngine._filter_specific_skillsc Cry) z(Filter skills for general broad requestsrWroa GENERAL SKILL FILTERING for {primary_field} Available Skills: {skills_text} Since this is a GENERAL request for improving skills in {primary_field}, filter skills that are: 1. Foundational skills that provide broad value in {primary_field} 2. Transferable skills useful across different areas of {primary_field} 3. Essential soft skills for {primary_field} professionals 4. Popular tools and technologies in {primary_field} 5. Skills that provide good career foundation in {primary_field} Be INCLUSIVE rather than restrictive - include skills that could be valuable for someone wanting to improve broadly in {primary_field}. Include both technical and soft skills that build a well-rounded foundation. Return ONLY the skill names that are relevant, one per line: - Skill Name 1 - Skill Name 2 ... Relevant Skills for {primary_field}: rMrzrPrrz general foundation skills for z"Error in general skill filtering: Nr{r|rrrrn0r}z+SkillInferenceEngine._filter_general_skillsexisting_skills needed_countc Cst|d}|d}|d}|d}|rd|nd} |dkr&||||| |S|dkr2|||| |S|||| |S) a Enhanced external skill suggestion based on specificity level Args: user_query: User's business goal field_analysis: Complete field analysis with specificity info existing_skills: Skills already identified needed_count: Number of additional skills needed Returns: List of external skill suggestions rWrXrYr[rqNonerirj)rk(_suggest_highly_specific_external_skills!_suggest_specific_external_skills _suggest_general_external_skills) rBr#rar~rrWrXrYr[existing_skills_textrrrsuggest_external_skills`s  z,SkillInferenceEngine.suggest_external_skillsc Csd|}tgddd}z3|j|||||d}|jt|dg} || || j} t dt | d|| d|WSt y\} zt d | gWYd} ~ Sd} ~ ww) z?Suggest external skills for highly specific technology requestsrq)r#rWrYr~ra HIGHLY SPECIFIC EXTERNAL SKILLS for {key_technologies} User Goal: {user_query} Field: {primary_field} Target Technologies: {key_technologies} Already Covered: {existing_skills} Skills Needed: {needed_count} Suggest {needed_count} ADVANCED and SPECIALIZED external skills specifically for {key_technologies}. Focus on: 1. Advanced {key_technologies} concepts and patterns 2. {key_technologies} performance optimization techniques 3. {key_technologies} testing and debugging tools 4. {key_technologies} deployment and CI/CD 5. {key_technologies} ecosystem libraries and extensions 6. Advanced architectural patterns for {key_technologies} 7. {key_technologies} security best practices Avoid basic programming concepts - focus on skills that specifically enhance {key_technologies} expertise. Return exactly {needed_count} skills in this format: - External Skill 1 - External Skill 2 ... Advanced {key_technologies} Skills: rMrP Suggested z% highly specific external skills for Nz4Error in highly specific external skill suggestion: )rkr r\r<r]r rKrsrQr>r?rur@rA) rBr#rWrYr~rrvr_r`rJr!rCrrrrs. !  z=SkillInferenceEngine._suggest_highly_specific_external_skillsc Ctgddd}z2|j||||d}|jt|dg}||||j}t dt |d||d|WSt yV} zt d| gWYd} ~ Sd} ~ ww) z4Suggest external skills for specific domain requestsr#rWr~ra SPECIFIC DOMAIN EXTERNAL SKILLS for {primary_field} User Goal: {user_query} Field: {primary_field} Already Covered: {existing_skills} Skills Needed: {needed_count} Suggest {needed_count} external skills that are trending and valuable in the {primary_field} domain. Focus on: 1. Current industry trends in {primary_field} 2. Emerging technologies in {primary_field} 3. Professional best practices for {primary_field} 4. Tools that are becoming standard in {primary_field} 5. Skills that differentiate professionals in {primary_field} Include both technical and methodology skills relevant to {primary_field}. Return exactly {needed_count} skills in this format: - External Skill 1 - External Skill 2 ... Trending {primary_field} Skills: rMrPrz% specific domain external skills for Nz-Error in specific external skill suggestion: r r\r<r]r rKrsrQr>r?rur@rA rBr#rWr~rr_r`rJr!rCrrrr*  z6SkillInferenceEngine._suggest_specific_external_skillsc Cr) z2Suggest external skills for general broad requestsra GENERAL FOUNDATIONAL EXTERNAL SKILLS for {primary_field} User Goal: {user_query} Field: {primary_field} Already Covered: {existing_skills} Skills Needed: {needed_count} Suggest {needed_count} diverse external skills that provide a strong foundation across {primary_field}. Focus on: 1. Fundamental skills every {primary_field} professional should have 2. Cross-cutting skills that apply to multiple areas of {primary_field} 3. Soft skills essential for {primary_field} success 4. Basic tools and technologies that are widely used in {primary_field} 5. Skills that provide good career versatility in {primary_field} Provide a well-rounded mix of technical, methodological, and soft skills. Return exactly {needed_count} skills in this format: - External Skill 1 - External Skill 2 ... Foundation {primary_field} Skills: rMrPrz( general foundation external skills for Nz,Error in general external skill suggestion: rrrrrrrz5SkillInferenceEngine._suggest_general_external_skillsresponse_contentc Csddl}ddl}z.|d||j}|r1||}gd}|D] }||vr-||||<q |WS||WStyX}zt d|ddgdd dWYd}~Sd}~ww) z&Parse field analysis from LLM responserNz\{.*\}rVzError parsing field analysis: rRrSrTrU) jsonresearchDOTALLloadsgroup_get_default_value_fallback_field_analysisr@r>rA) rBrrr json_matchrarequired_fieldsfieldrCrrrr^"s. z*SkillInferenceEngine._parse_field_analysis field_namecCsddgddd}||dS)z%Get default values for missing fieldsrRrSrTrUrVget)rBrdefaultsrrrrBs z'SkillInferenceEngine._get_default_valuecsv|tfdddDrd}d}d}ntfdddDr(d }d }d }nd }d }d }||}||g||dS)z+Fallback parsing when JSON extraction failsc3|]}|vVqdSNr)rftech content_lowerrr Sz@SkillInferenceEngine._fallback_field_analysis..)angularreactvuepythonjavaawsdockerritargetedmasteryc3rrr)rfdomainrrrrWr)zweb developmentzmobile developmentz data sciencefrontendbackendrjrTspecializationrSrUrV)lowerany_clean_field_name)rBr specificityfocusapproachrrrrrMs& z-SkillInferenceEngine._fallback_field_analysis skill_namescCs:g}|D]}|D]}|||dr||nqq|S)z-Match skill names back to original skill datar) _skills_matchappend)rBrr'rxr org_skillrrrrtks z*SkillInferenceEngine._match_skills_to_data field_textcCs<|dd}|dddddd}|d}|S)zClean and normalize field namercrz Field/Domain:rzField:zDomain:z "')stripsplitreplace)rBrrrrrus z&SkillInferenceEngine._clean_field_name response_textcCsXg}|d}|D]}|}tdd|}|}|r)t|dkr)||q |S)zParse skills from LLM responsercu^[-•*\d+\.\)]\s*r)rrrsubrur)rBrr!lineslinerrrrs|s z0SkillInferenceEngine._parse_skills_from_responseskill1skill2cCsltdd|}tdd|}||krdStd||}|dkr*dS||vs2||vr4dSdS)z9Check if two skill names match with reasonable similarityz[^a-zA-Z0-9\s]rTNg?F)rrrrrratio)rBrr skill1_norm skill2_norm similarityrrrrsz"SkillInferenceEngine._skills_matchNr9)rrrrrrDrKdictrbrrrprlrmrnrrrrrr^rrrtrrsr7rrrrrr8Ns L  4 0 0 " : 3 3  " r8c @s6eZdZdZe d deededeefddZdS) SkillMatcherz/Handles skill matching and filtering operations?r&coverage_thresholdrLcCsl|sgStdd|Ddd}g}|D]}|j|}||kr#||qtdt|dt|d|S)a7 Filter out skills that are already well-covered in the department Args: filtered_skills: Current department skills with counts coverage_threshold: Threshold for considering a skill well-covered Returns: List of skills that need improvement cSg|]}|jqSrrrerrrrhz9SkillMatcher.filter_department_skills..)defaultrrz under-covered skills from z total skills)maxrrr>r?ru)r&rtotal_employeesunder_covered_skillsrgcoverage_ratiorrrfilter_department_skillss    z%SkillMatcher.filter_department_skillsN)r) rrrr staticmethodrrr4rrrrrrs rc @seZdZdZddZdedefddZ  dded ed ede fd d Z d ee de de fddZ d ee dee e ffddZdedefddZdS)TNAPresentationz8Handles presentation of TNA analysis in multiple formatscCstddS)z"Initialize the presentation systemz#TNA Presentation System initializedN)r>r?)rBrrrrDszTNAPresentation.__init__analysis_resultrLcCsg}|jD]}||j|j|j|j|j|jdq|j|j |j |j t |j d|j||j|j|jttdd|jDtdd|jD||jdd}td|S) z Generate raw analysis output in JSON format Args: analysis_result: Complete analysis result Returns: Dictionary with raw analysis data rrrr*r+r,cSg|] }|jdkr|qSorganizational_relevantr+rfsrrrrhz9TNAPresentation.generate_raw_analysis..cSrexternalrrrrrrhr)r#r$r%analysis_timestamptotal_organizational_skillstotal_external_skillspriority_breakdown)r6r3r2r1r0r/r.metadataz#Raw analysis generated successfully)r.rrrrr*r+r,r6r3r2r1roundr0r/r#r$r%r now isoformatru_get_priority_breakdownr>r?)rBr skills_jsonrg raw_analysisrrrgenerate_raw_analysiss8       z%TNAPresentation.generate_raw_analysisNoffline_coursesonline_coursesc Csdd|jD}dd|jD}dd|jD}dd|jD}dd|jD}dd|jD} td} d gd |jd |jd |jd |jd|jd| ||dd| |ddddd||ddDdddd|ddDdddd|ddDdt ddt ||d t ||d!dd"d||ddDd#dd$d|ddDd%|jd&| d'|j rd(nd)d*t dd+} t d,| S)-a[ Generate professional TNA report for organization admins Args: analysis_result: Complete analysis result offline_courses: List of recommended offline courses online_courses: List of recommended online courses Returns: Formatted string with professional TNA report cSrrrrrrrrhrzCTNAPresentation.generate_strategic_presentation..cSrrrrrrrrhrcSr)department_existingrrrrrrhrcSr)Highr*rrrrrhrcSr)MediumrrrrrrhrcSr)Lowrrrrrrhrz %B %d, %Yrz Hello z', We noticed you shared: "u:". That’s a great growth mindset! Wanting to improve in u shows real initiative. Here’s what we’ve analyzed and suggest for you: ━━━━━━━━━━━━━━━━━━━━━━━ What You Need to Grow in ux ━━━━━━━━━━━━━━━━━━━━━━━ To really level up your z skills, we identified a combination of organizational skills you already have access to, plus some external skills that will give you an extra edge. Core Organizational Skills You Can Start With: organizationalu These are skills already available internally through your organization’s resources. It’s like already having some tools in your toolbox! High-Value External Skills That Unlock the Next Level: ru These are the more advanced or specialized areas where external training, certifications, or hands-on projects could make a big difference. ━━━━━━━━━━━━━━━━━━━━━━━ Prioritized Skill Recommendations ━━━━━━━━━━━━━━━━━━━━━━━ Based on your profile and our analysis, here’s a practical order to focus on: 1️ Most Important – Start Here: rqcSrrrrrrrrh&rNu Why? You already have access to resources for these. Quick wins, low setup time, high ROI. 2️ Secondary Focus – Build Deeper Expertise: cSrrrrrrrrh+ru These are high-impact but need external support or new learning paths. 3️ Bonus Round – Become Truly Unstoppable: cSrrrrrrrrh0ru Once you’ve mastered the core and secondary skills, these will push your capabilities into the top professional bracket. ━━━━━━━━━━━━━━━━━━━━━━━ Your Current Capability Assessment ━━━━━━━━━━━━━━━━━━━━━━━ - Skill Match with Organization: z.1fz'% - Existing Skills Found: uH Good news — you already have a solid foundation! Having uJ relevant skills puts you one step ahead. ━━━━━━━━━━━━━━━━━━━━━━━ Suggested Learning Path ━━━━━━━━━━━━━━━━━━━━━━━ Phase 1 (0–3 Months): Strengthen Existing Skills - Focus on cSrrrrrrrrhBru - Use internal training programs - Regular check-ins to track progress Phase 2 (3–6 Months): Expand with External Skills - Focus on cSrrrrrrrrhGru - Plan for external courses, certifications, or mentorship - Budget allocation and resource setup required ━━━━━━━━━━━━━━━━━━━━━━━ Final Thoughts ━━━━━━━━━━━━━━━━━━━━━━━ You’ve already taken the first step by identifying your goal. Now with this structured plan, you’re on the path to mastering uK. Let’s keep the momentum going! Generated on: z" Analysis Confidence: rrz# Resource Utilization: u8% — TNA v2.0 Insights Engine z-Strategic presentation generated successfully)r.r rstrftimerkr$r#r3r_format_skill_sectionorg_percentagerur6r>r?) rBrrr org_skills ext_skills dept_skills high_prioritymedium_priority low_priority current_datestrategic_reportrrrgenerate_strategic_presentations`   #(0 1 3:?GK LM Tz/TNAPresentation.generate_strategic_presentationr! section_typec CsL|sdSg}t|dD]\}}||dd|jd|jdq d|S)z0Format skills section for strategic presentationz&No skills identified in this category.r2d.  (rdrc) enumeraterrrrk)rBr!r formatted_skillsirgrrrr_s $ z%TNAPresentation._format_skill_sectioncCs6dddd}|D]}|j|vr||jd7<q|S)z#Get breakdown of skills by priorityr)rrrrr)rBr! breakdownrgrrrrjs  z'TNAPresentation._get_priority_breakdowncCs||||dS)z Generate both raw and strategic formats Args: analysis_result: Complete analysis result Returns: Dictionary containing both formats rstrategic_presentation)rr )rBrrrrgenerate_both_formatsrs z%TNAPresentation.generate_both_formats)NN)rrrrrDr5rrrrr r)rrrrrrrrrs - p rc @seZdZdZd!defddZdedefdd Zd e d e d e edefd dZ d e d e d e edefddZ dede fddZdedefddZdedefddZdedefddZdedefddZd"dededeeeffddZd S)#SkillAnalysisSystemzCMain Skill Analysis System with enhanced specificity-aware approachr9r:cCs.t||_t|_t|_d|_tddS)z$Initialize the skill analysis systemzr?)rBr:rrrrDs zSkillAnalysisSystem.__init__ request_datarLc Csz9||}|j|j|jpd}|j||j}|jr2|jdkr2t|j dkr2| |||WS| |||WSt yb}zt d|tgdt|dddd d WYd }~Sd }~ww) z Main method to analyze skills using enhanced specificity-aware approach Args: request_data: Dictionary containing all necessary data Returns: SkillAnalysisResponse with recommendations rRnullrzError in skill analysis: zError in analysis: rErrorUnknownr.r/r0r1r2r3N)_parse_requestrrbr#r%rpr'rrur&_handle_case_1_improved_handle_case_2_improvedr@r>rAr-r)rBrrequestrarelevant_org_skillsrCrrranalyze_skillss6  z"SkillAnalysisSystem.analyze_skillsr$rar%cCstd|d}|d}g}t}|jj|jdd}|D].} | j|vrK|t| j| j | j p/dddd | j d t d d |jDd | | jq|D])} | d|vrw|t| d| ddddd|d|dd | | dqNt||jkr|jt|} dd |D} |j|j|| | } t| D]\}}|td||dddd|d|dd q|jrt|t|jnd}t|d|jd|jd |d|d!t|d" |t|d|jd#|d$S)%zq Handle Case 1 with enhanced specificity-aware approach: Department found AND employee count > 3 zFApplying Case 1 (Enhanced): Department found with sufficient employeesrWrXr)r IntermediaterrzUnder-covered in department: z employees out of cSrrrrrrrrhrz?SkillAnalysisSystem._handle_case_1_improved..rrrrr Relevant to  field (% level) and available in organizationcSrrrrfrecrrrrhr(#Beginnerrr External skill for z to enhance capabilitiesrNzEnhanced analysis for z department in ). Found relevant organizational skills.z=Case 1 (Enhanced): Department found with sufficient employeesr )r>r?setrrr&rrr)rrrraddrrurrrr#rr-r%)rBr$rar%r3rXrecommendationsused_skill_idsunder_covered_dept_skills dept_skillrrexisting_skill_namesexternal_skillsr ext_skill dept_coveragerrrr"sx        "z+SkillAnalysisSystem._handle_case_1_improvedcCs@td|d}|d}g}t}|D])}|d|vr=|t|d|ddddd |d |d d ||dqt||jkr~|jt|} d d|D} |j |j || | } t | D]\} } |td| | dddd|d|dd qat |d|jd|d |dt|ddt|d|jd|dS)uv Handle Case 2 with enhanced specificity-aware approach: Department not found OR employee count ≤ 3 zJApplying Case 2 (Enhanced): Department not found or insufficient employeesrWrXrrr'rrr(r)r*rcSrrrr+rrrrh'rz?SkillAnalysisSystem._handle_case_2_improved..r-r.rrr/r0z to fill capability gapNzEnhanced general analysis for r1r2rzACase 2 (Enhanced): Department not found or insufficient employeesr )r>r?r3rr)rr4rurrrr#rr-)rBr$rar%r3rXr5r6rrr9r:rr;rrrr# sV    z+SkillAnalysisSystem._handle_case_2_improvedc Cstg}d|vr"|dD]}|t|d|d|d|ddq t|d|d|d ||d g|d id S) z3Parse request data into SkillAnalysisRequest objectr&rrrrrrrrr#r$r%r'r(r#r$r%r&r'r()rrrr")rBrr& skill_datarrrr!Ds"    z"SkillAnalysisSystem._parse_request json_datac CsTzt|}|dd}|dd}|dd}|dg}|dg}d}|r.zDepartment skills: rqNcSrArBrrrrrrhvrCzAvailable skills: z>Analyze this training need and recommend skills. USER QUERY: z DEPARTMENT: rRrcaV Provide a JSON response with: { "field": "identified field/domain", "skills": [ {"name": "skill name", "source": "department|organizational|external", "priority": "high|medium|low", "reason": "brief justification"} ], "summary": "brief analysis summary" } Focus on practical, relevant skills. Return exactly 8-12 skills total. rP{}rrir!rr'r*mediumr+rreasonrTrzGeneral SkillssummaryzSkills analysis completedrzOptimized Single Call Analysisr6r3r.r/r0r1r2zNo JSON found in responsez#JSON parse failed, using fallback: zOptimized processing error: Fr6rAr.)rrrrkrr<r]r rKrQrfindrfindrtitleru ValueErrorJSONDecodeErrorr>warning_fallback_skill_analysisr@rAr)rBr@rr#r$r%r&r'dept_skills_textdept_skill_namesorg_skills_textorg_skill_namespromptrJr json_startjson_endjson_strparsedr5rr?rCrrrprocess_optimized_single_callZs                   z1SkillAnalysisSystem.process_optimized_single_callc s"|dd|dd}tfdddDrd}ntfddd Dr*d }ntfd dd Dr8d }nd}ddddddddddddddddddddddddddddd dg}g}d!}|D]}|||d"d#|d$|d%|d&d'|d(7}qfd)||d*|d+d,t|d-d.S)/z&Fallback skill analysis when LLM failsr#rr%c3rrrrfwordr#rrrrz?SkillAnalysisSystem._fallback_skill_analysis..)rr javascriptcoding programmingzSoftware Developmentc3rrrr^r`rrrr)sales marketingcustomerzBusiness Developmentc3rrrr^r`rrrr) management leadershipteam ManagementzGeneral Professional SkillszCommunication SkillsrrzEssential for all roles)rr+r*rIzProblem SolvingzCore competencyzTime ManagementrzProductivity skillzTeam CollaborationzTeam effectiveness AdaptabilityrrzFuture-ready skillzDigital LiteracyzModern workplace requirementirr'r*r+rIrrTzBasic analysis for z fieldg333333?zFallback AnalysisrK)rrrrru)rBrr%r basic_skillsr5rrgrr`rrSsH          z,SkillAnalysisSystem._fallback_skill_analysisc Csz>d|j_t|}||}g}|jD]}||j|j|j |j |j |j dqd|j ||jt|jd|j|j|jjdWStjyb}ztd|dd|gd WYd }~Sd }~wty}ztd |dt|gd WYd }~Sd }~ww) z Process JSON request and return JSON response (Raw format only) Args: json_data: JSON string with request data Returns: Dictionary with response data rrTr)r6r3r.r/r0r1r2 token_countJSON decode error: FInvalid JSON format: rLNProcessing error: )rr=rrr&r.rrrrr*r+r,r3r/rr0r1r2rQr>rAr@r)rBr@rrJrecommendations_jsonr,rCrrrprocess_json_requestsL        z(SkillAnalysisSystem.process_json_requestc Cs z2t|}||}td|j|j|j|j|j|j |d|d|dd }|j |}t d|WStjy\}zt d|dd |gd d |d WYd }~Sd }~wty}zt d|dt|gd dt|d WYd }~Sd }~ww)z Process JSON request and return BOTH raw and strategic formats Args: json_data: JSON string with request data Returns: Dictionary with both presentation formats Tr#r$r% r6r3r2r1r0r/r.r#r$r%z0Both presentation formats generated successfullyrnFrorLzError: Invalid JSON format - rNrpzError: )rrr&r5r3r2r1r0r/r.rrr>r?rQrAr@r)rBr@ranalysis_responser both_formatsrCrrrprocess_with_both_formats+sJ     z-SkillAnalysisSystem.process_with_both_formats tna_analysisfilename_prefixc Csjzt|}||}td|j|j|j|j|j|j |d|d|dd }t d}|j |}|d|d}t|d d d } tj|d | d ddWdn1sWwY|d|d} t| d d d } | |dWdn1s}wYtd|d| || ddWSty} ztd| dt| dWYd} ~ Sd} ~ ww)a Process analysis and save both formats to files Args: json_data: JSON string with request data filename_prefix: Prefix for saved files Returns: Dictionary with file paths Tr#r$r%rsz %Y%m%d_%H%M%S_raw_z.jsonwzutf-8)encodingrrF)indent ensure_asciiN _strategic_z.txtrzAnalysis saved to z and )raw_filestrategic_filer6zError saving analysis: )r6rA)rrr&r5r3r2r1r0r/r.r rrrropendumpwriter>r?r@rAr) rBr@rxrrtr timestampru raw_filenamefstrategic_filenamerCrrrsave_analysis_reportbsJ   z(SkillAnalysisSystem.save_analysis_reportNr)rw)rrrrrrDrr-r&r"rrr"r#r!r]rSrrrvrrrrrrs0 . O :j07$7rc Cst}ddddddddd d d d dgd ddddddddddddddddddddddddddd d!dd"d#dg d$d%d&d&d'gd(d)gid*}d+dddddddd d d d dgddddd,ddd-ddddddddddd d.dd"d/dgd$d%d0d1d'gd2d)gid*}td3td4td3td5td6td7|t|}td8|d9td:|d;td<|d=td>t|d?d@D]\}}t|dA|dBdC|dDdE|dFqtd5tdGtd7|t|}td8|d9td:|d;td<|d=td>t|d?d@D]\}}t|dA|dBdC|dDdE|dFq)tdHtdItd3tdJt|}||}|dK} t| dLS)Mz:Example usage of the Enhanced Specificity-Aware TNA Systemz'Want to improve my Python skill abilityAscent DeveloperxPythonr'rr=izEmotional IntelligenceAdvancedrilznegotiation and closure)rrimzmarket analysisinzproduct knowledgey JavaScriptzReact{zNode.js|HTML}CSS~SQLGitDocker373z Java Courser)rrarb)courseIdrrr r!r>z!Want to improve my Angular skills TypeScriptAngularzVue.jsRxJSzAngular Advanced CoursezAdvanced Angular Development)r typescriptrxjszP================================================================================z3ENHANCED SPECIFICITY-AWARE TNA SYSTEM DEMONSTRATIONz3 ==================================================z0TEST 1: GENERAL QUERY - 'improve python ability'z2==================================================zField Identified: r3zTotal Skills: r1z Summary: r/z Top 5 Recommended Skills:r.rr rr r+z) - r,z8TEST 2: HIGHLY SPECIFIC QUERY - 'improve Angular skills'zQ ================================================================================zmENHANCEMENT SUCCESS: Different queries now produce different, contextually appropriate skill recommendations! StrategicrN)rprintrrrdumpsrrv) skill_systemsample_request_generalsample_request_specificgeneral_resultrrgspecific_resultr@resultrrrrmains- ),.   r__main__)%rloggingtypingrrrr dataclassesrdifflibrr collectionsrr langchain_ollamar langchain_core.promptsr langchain_core.messagesr basicConfigINFO getLoggerrr>rrr"r)r-r5r8rrrrrrrrsV            R F"