eddc424962
- agent.go: add section="search" that queries experience, projects, skills, and courses simultaneously — fixes missing results when a technology spans multiple CV sections (e.g. Java at Insa) - head-styles.html: use modular CSS in development mode and load chat CSS separately — fixes unstyled page when bundle is stale
273 lines
8.8 KiB
Go
273 lines
8.8 KiB
Go
// Package chat provides an ADK Go agent that answers questions about CV data.
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package chat
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import (
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"encoding/json"
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"fmt"
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"strings"
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"time"
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"github.com/juanatsap/cv-site/internal/cache"
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cvmodel "github.com/juanatsap/cv-site/internal/models/cv"
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"google.golang.org/adk/agent"
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"google.golang.org/adk/agent/llmagent"
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"google.golang.org/adk/model"
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"google.golang.org/adk/tool"
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"google.golang.org/adk/tool/functiontool"
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)
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// NewAgent creates the CV chat agent with a query tool that reads from the data cache.
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func NewAgent(llm model.LLM, dataCache *cache.DataCache) (agent.Agent, error) {
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queryTool, err := newQueryCVTool(dataCache)
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if err != nil {
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return nil, fmt.Errorf("query_cv tool: %w", err)
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}
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return llmagent.New(llmagent.Config{
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Name: "cv_assistant",
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Model: llm,
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Description: "Answers questions about Juan Andrés Moreno Rubio's CV and professional experience.",
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Instruction: `You are a helpful assistant embedded in a professional CV website.
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You answer questions about the CV owner's experience, projects, skills, education, and career.
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RULES:
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- Use the query_cv tool to look up CV data before answering. Never make up information.
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- For technology questions (e.g. "Java", "Go", "React"), ALWAYS use section="search" — this searches across experience, projects, courses, and skills simultaneously. Do NOT search only projects or only experience.
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- Answer in the SAME LANGUAGE the user writes in. If they ask in Spanish, answer in Spanish.
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- Be concise and direct — visitors want quick answers, not essays.
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- When listing items (projects, technologies, companies), use bullet points.
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- If the query_cv tool returns no results for a question, say so honestly.
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- You may reference sections of the CV (e.g., "See the Projects section") to guide the visitor.
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- Never reveal personal contact details (email, phone) — just point them to the contact form.
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- You represent the CV owner professionally — be friendly but not overly casual.
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EXAMPLES of questions you might receive:
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- "How many years of experience does Juan have?" → section="summary"
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- "What Java experience does he have?" → section="search", query="java"
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- "Has he worked with React?" → section="search", query="react"
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- "Tell me about his time at Olympic Broadcasting" → section="search", query="olympic"
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- "What certifications does he have?" → section="certifications"
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- "List all his projects" → section="projects"`,
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Tools: []tool.Tool{queryTool},
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})
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}
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// QueryCVArgs is the input for the CV query tool.
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type QueryCVArgs struct {
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Section string `json:"section" jsonschema:"CV section to query: 'search' (cross-section keyword search — recommended for technology queries), 'experience', 'projects', 'skills', 'education', 'languages', 'certifications', 'courses', 'awards', 'summary', 'all'"`
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Query string `json:"query" jsonschema:"Search term to filter results (e.g. 'Go', 'React', '2019', 'Olympic'). Empty returns all items in the section."`
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Language string `json:"language" jsonschema:"Language for CV data: 'en' or 'es'. Default: 'en'."`
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}
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// QueryCVResult contains the query results.
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type QueryCVResult struct {
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Section string `json:"section"`
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Query string `json:"query,omitempty"`
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TotalFound int `json:"total_found"`
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Data string `json:"data"` // JSON-encoded results
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}
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func newQueryCVTool(dataCache *cache.DataCache) (tool.Tool, error) {
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return functiontool.New(functiontool.Config{
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Name: "query_cv",
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Description: `Query the CV data to answer questions about experience, projects, skills, education, certifications, and more.
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Use the 'section' parameter to target a specific area, and 'query' to filter by keyword.
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For technology or keyword queries (e.g. "Java", "Go", "React", "Olympic"), use section="search" to search across experience, projects, skills, and courses simultaneously. This avoids missing results that appear in multiple sections.
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Always call this tool before answering CV-related questions.`,
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}, func(ctx tool.Context, args QueryCVArgs) (QueryCVResult, error) {
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lang := args.Language
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if lang == "" {
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lang = "en"
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}
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cv := dataCache.GetCV(lang)
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if cv == nil {
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return QueryCVResult{Section: args.Section, TotalFound: 0, Data: "[]"}, nil
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}
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q := strings.ToLower(args.Query)
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result := QueryCVResult{Section: args.Section, Query: args.Query}
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switch args.Section {
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case "summary":
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result.Data = fmt.Sprintf(`{"summary": %q, "years_of_experience": %d}`,
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cv.Summary, calculateYears())
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result.TotalFound = 1
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case "experience":
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matches := filterExperience(cv.Experience, q)
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result.TotalFound = len(matches)
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result.Data = mustJSON(matches)
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case "projects":
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matches := filterProjects(cv.Projects, q)
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result.TotalFound = len(matches)
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result.Data = mustJSON(matches)
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case "skills":
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matches := filterSkills(cv.Skills, q)
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result.TotalFound = len(matches)
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result.Data = mustJSON(matches)
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case "education":
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result.TotalFound = len(cv.Education)
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result.Data = mustJSON(cv.Education)
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case "languages":
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result.TotalFound = len(cv.Languages)
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result.Data = mustJSON(cv.Languages)
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case "certifications":
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result.TotalFound = len(cv.Certifications)
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result.Data = mustJSON(cv.Certifications)
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case "courses":
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matches := filterCourses(cv.Courses, q)
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result.TotalFound = len(matches)
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result.Data = mustJSON(matches)
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case "awards":
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result.TotalFound = len(cv.Awards)
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result.Data = mustJSON(cv.Awards)
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case "search":
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// Cross-section search: search across experience, projects, skills, and courses simultaneously.
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crossResult := make(map[string]any)
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total := 0
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if expMatches := filterExperience(cv.Experience, q); len(expMatches) > 0 {
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crossResult["experience"] = expMatches
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total += len(expMatches)
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}
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if projMatches := filterProjects(cv.Projects, q); len(projMatches) > 0 {
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crossResult["projects"] = projMatches
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total += len(projMatches)
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}
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if skillMatches := filterSkills(cv.Skills, q); len(skillMatches) > 0 {
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crossResult["skills"] = skillMatches
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total += len(skillMatches)
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}
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if courseMatches := filterCourses(cv.Courses, q); len(courseMatches) > 0 {
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crossResult["courses"] = courseMatches
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total += len(courseMatches)
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}
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result.TotalFound = total
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result.Data = mustJSON(crossResult)
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case "all":
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// Return a high-level overview
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overview := map[string]int{
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"experience_count": len(cv.Experience),
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"project_count": len(cv.Projects),
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"skill_categories": len(cv.Skills.Technical),
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"language_count": len(cv.Languages),
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"certification_count": len(cv.Certifications),
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"course_count": len(cv.Courses),
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"award_count": len(cv.Awards),
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}
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result.TotalFound = 1
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result.Data = mustJSON(overview)
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default:
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result.Data = `{"error": "unknown section"}`
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}
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return result, nil
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})
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}
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// Filter helpers — match by keyword across relevant fields
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func filterExperience(items []cvmodel.Experience, q string) []cvmodel.Experience {
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if q == "" {
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return items
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}
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var out []cvmodel.Experience
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for _, e := range items {
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if matchesAny(q, e.Company, e.Position, e.Location, e.StartDate, e.EndDate, e.ShortDescription) ||
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matchesSlice(q, e.Technologies) || matchesSlice(q, e.Responsibilities) {
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out = append(out, e)
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}
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}
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return out
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}
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func filterProjects(items []cvmodel.Project, q string) []cvmodel.Project {
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if q == "" {
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return items
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}
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var out []cvmodel.Project
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for _, p := range items {
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if matchesAny(q, p.Title, p.ShortDescription, p.Location) ||
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matchesSlice(q, p.Technologies) || matchesSlice(q, p.Responsibilities) {
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out = append(out, p)
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}
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}
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return out
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}
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func filterSkills(skills cvmodel.Skills, q string) []cvmodel.SkillCategory {
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if q == "" {
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return skills.Technical
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}
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var out []cvmodel.SkillCategory
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for _, cat := range skills.Technical {
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if matchesAny(q, cat.Category) || matchesSlice(q, cat.Items) {
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out = append(out, cat)
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}
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}
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return out
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}
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func filterCourses(items []cvmodel.Course, q string) []cvmodel.Course {
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if q == "" {
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return items
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}
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var out []cvmodel.Course
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for _, c := range items {
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if matchesAny(q, c.Title, c.Institution, c.Description) {
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out = append(out, c)
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}
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}
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return out
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}
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func matchesAny(q string, fields ...string) bool {
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for _, f := range fields {
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if strings.Contains(strings.ToLower(f), q) {
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return true
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}
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}
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return false
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}
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func matchesSlice(q string, items []string) bool {
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for _, item := range items {
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if strings.Contains(strings.ToLower(item), q) {
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return true
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}
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}
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return false
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}
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func mustJSON(v any) string {
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b, err := json.Marshal(v)
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if err != nil {
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return "[]"
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}
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return string(b)
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}
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func calculateYears() int {
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firstDay := time.Date(2005, time.April, 1, 0, 0, 0, 0, time.UTC)
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now := time.Now()
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years := now.Year() - firstDay.Year()
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if now.Month() < firstDay.Month() ||
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(now.Month() == firstDay.Month() && now.Day() < firstDay.Day()) {
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years--
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}
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return years
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}
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