136 lines
3.4 KiB
Go
136 lines
3.4 KiB
Go
package cmd
|
|
|
|
import (
|
|
"fmt"
|
|
"regexp"
|
|
"strings"
|
|
|
|
"github.com/spf13/cobra"
|
|
"github.com/david/knox/internal/db"
|
|
"github.com/david/knox/internal/index"
|
|
)
|
|
|
|
func NewTopicsCmd(kdb *db.KnoxDB) *cobra.Command {
|
|
cmd := &cobra.Command{
|
|
Use: "topics",
|
|
Short: "Auto-detect topic clusters from TF-IDF analysis of the knowledge index",
|
|
Long: `Scans all entries, computes TF-IDF term scores, and clusters related
|
|
observations into topics. Shows gap analysis for browser-researched
|
|
topics not covered by skills.
|
|
|
|
Subcommands: list, gaps`,
|
|
}
|
|
|
|
cmd.AddCommand(newTopicListCmd(kdb))
|
|
cmd.AddCommand(newTopicGapsCmd(kdb))
|
|
|
|
return cmd
|
|
}
|
|
|
|
func newTopicListCmd(kdb *db.KnoxDB) *cobra.Command {
|
|
return &cobra.Command{
|
|
Use: "list",
|
|
Short: "List auto-detected topic clusters",
|
|
RunE: func(c *cobra.Command, args []string) error {
|
|
entries, err := kdb.RecentEntries(2000)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
tfidf := index.BuildTFIDF(entries)
|
|
clusters := tfidf.Cluster(2, 15)
|
|
|
|
if len(clusters) == 0 {
|
|
fmt.Println("No topic clusters detected.")
|
|
return nil
|
|
}
|
|
|
|
fmt.Printf("%-3s %-50s %-8s %s\n", "ID", "Topic", "Entries", "Sources")
|
|
fmt.Println(strings.Repeat("-", 75))
|
|
for i, c := range clusters {
|
|
total := 0
|
|
for _, v := range c.BySource {
|
|
total += v
|
|
}
|
|
sources := ""
|
|
for src, count := range c.BySource {
|
|
if sources != "" {
|
|
sources += ", "
|
|
}
|
|
sources += fmt.Sprintf("%s:%d", shortSource(src), count)
|
|
}
|
|
fmt.Printf("%-3d %-50s %-8d %s\n", i+1, truncateStr(c.Name, 48), total, sources)
|
|
}
|
|
return nil
|
|
},
|
|
}
|
|
}
|
|
|
|
func newTopicGapsCmd(kdb *db.KnoxDB) *cobra.Command {
|
|
return &cobra.Command{
|
|
Use: "gaps",
|
|
Short: "Show topics with browser activity but no skill coverage",
|
|
Long: `Cross-references browser history against the skills catalog.
|
|
Flags topics that have significant browser research but zero skill entries.
|
|
|
|
These are candidates for new skill creation.`,
|
|
RunE: func(c *cobra.Command, args []string) error {
|
|
entries, err := kdb.RecentEntries(2000)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Build skill keyword set
|
|
skillKeywords := make(map[string]bool)
|
|
for _, e := range entries {
|
|
if e.SourceID == "skills-catalog" {
|
|
for _, w := range tokenize(e.Title + " " + e.Summary) {
|
|
skillKeywords[w] = true
|
|
}
|
|
}
|
|
}
|
|
|
|
tfidf := index.BuildTFIDF(entries)
|
|
clusters := tfidf.Cluster(2, 15)
|
|
gaps := tfidf.Gaps(clusters, skillKeywords)
|
|
|
|
if len(gaps) == 0 {
|
|
fmt.Println("No gaps found — all browser-researched topics have skill coverage.")
|
|
return nil
|
|
}
|
|
|
|
fmt.Printf("\nFound %d topics with browser activity but NO skill coverage:\n\n", len(gaps))
|
|
for i, g := range gaps {
|
|
browserCount := g.BySource["browser-history"]
|
|
fmt.Printf("%d. %s\n", i+1, g.Name)
|
|
fmt.Printf(" %d browser visits · keywords: %v\n", browserCount, g.Keywords)
|
|
fmt.Println()
|
|
}
|
|
|
|
fmt.Println("Consider creating skills for these topics with `knox asses` or via opencode.")
|
|
return nil
|
|
},
|
|
}
|
|
}
|
|
|
|
func shortSource(s string) string {
|
|
switch s {
|
|
case "opencode-session":
|
|
return "session"
|
|
case "skills-catalog":
|
|
return "skill"
|
|
case "browser-history":
|
|
return "browser"
|
|
case "obsidian":
|
|
return "notes"
|
|
case "opencode-log":
|
|
return "logs"
|
|
}
|
|
return s
|
|
}
|
|
|
|
func tokenize(text string) []string {
|
|
re := regexp.MustCompile(`[a-z]{4,}`)
|
|
return re.FindAllString(strings.ToLower(text), -1)
|
|
}
|