feat: add Cobra CLI, LSP/MCP registries, workflow engine, and enriched dashboard
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Major changes:
- Refactor CLI entry point to Cobra commands (root, setup, scan, doctor, install, update, lsp, mcp, skills, config, version)
- Add LSP registry with health checks, auto-install, and editor config generation
- Add MCP registry with editor detection, status tracking, and per-editor configuration
- Add workflow engine with planner and step execution for automated task chains
- Add conversation search, export (Markdown/JSON), and detailed token counting
- Add streaming shell chat handler with tool call/result events
- Add skill validation, dry-run testing, and export endpoints
- Enrich dashboard with Tools/Activity/Status tabs and tool cards grid
- Add PRD documentation
- Complete i18n for both EN and FR

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Assisted-by: GLM-5.1 via Crush <crush@charm.land>
This commit is contained in:
Augustin
2026-04-22 22:22:05 +02:00
parent 66b773ff86
commit 2e50366cd8
42 changed files with 6779 additions and 319 deletions

View File

@@ -5,6 +5,7 @@ import (
"fmt"
"os"
"path/filepath"
"strings"
"sync"
"time"
"unicode/utf8"
@@ -36,6 +37,19 @@ type ConversationStore struct {
conv *Conversation
}
type TokenCount struct {
total int
byRole map[string]int
byMessage int
}
type SearchResult struct {
ID string `json:"id"`
Role string `json:"role"`
Content string `json:"content"`
Time string `json:"time"`
}
func NewConversationStore() *ConversationStore {
dir, err := config.ConfigDir()
if err != nil {
@@ -140,19 +154,109 @@ func (cs *ConversationStore) TrimOld(keepCount int) {
}
func (cs *ConversationStore) ApproxTokenCount() int {
return cs.ApproxTokenCountDetailed().total
}
func (cs *ConversationStore) ApproxTokenCountDetailed() TokenCount {
cs.mu.RLock()
defer cs.mu.RUnlock()
total := utf8.RuneCountInString(cs.conv.Summary)
for _, m := range cs.conv.Messages {
total += utf8.RuneCountInString(m.Content)
result := TokenCount{
byRole: make(map[string]int),
}
return total / charsPerToken
for _, m := range cs.conv.Messages {
count := utf8.RuneCountInString(m.Content) / charsPerToken
result.byMessage += count
result.byRole[m.Role] += count
}
if cs.conv.Summary != "" {
result.total = result.byMessage + utf8.RuneCountInString(cs.conv.Summary)/charsPerToken
} else {
result.total = result.byMessage
}
return result
}
func (cs *ConversationStore) NeedsSummarization() bool {
return cs.ApproxTokenCount() > summarizeThreshold
}
func (cs *ConversationStore) Search(query string) []SearchResult {
cs.mu.RLock()
defer cs.mu.RUnlock()
var results []SearchResult
queryLower := strings.ToLower(query)
for _, msg := range cs.conv.Messages {
if strings.Contains(strings.ToLower(msg.Content), queryLower) {
results = append(results, SearchResult{
ID: msg.ID,
Role: msg.Role,
Content: msg.Content,
Time: msg.Time,
})
}
}
return results
}
func (cs *ConversationStore) ExportMarkdown() string {
cs.mu.RLock()
defer cs.mu.RUnlock()
var sb strings.Builder
sb.WriteString("# Conversation Export\n\n")
sb.WriteString(fmt.Sprintf("Exporté le: %s\n\n", time.Now().Format(time.RFC3339)))
if cs.conv.Summary != "" {
sb.WriteString("## Résumé\n\n")
sb.WriteString(cs.conv.Summary)
sb.WriteString("\n\n---\n\n")
}
sb.WriteString("## Messages\n\n")
for i, msg := range cs.conv.Messages {
roleLabel := msg.Role
if roleLabel == "user" {
roleLabel = "👤 Utilisateur"
} else if roleLabel == "assistant" {
roleLabel = "🤖 Assistant"
} else if roleLabel == "system" {
roleLabel = "⚙️ Système"
}
timestamp := ""
if msg.Time != "" {
if t, err := time.Parse(time.RFC3339, msg.Time); err == nil {
timestamp = t.Format("2006-01-02 15:04")
}
}
sb.WriteString(fmt.Sprintf("### [%d] %s (%s)\n\n", i+1, roleLabel, timestamp))
sb.WriteString(msg.Content)
sb.WriteString("\n\n---\n\n")
}
return sb.String()
}
func (cs *ConversationStore) ExportJSON() string {
cs.mu.RLock()
defer cs.mu.RUnlock()
data, err := json.MarshalIndent(cs.conv, "", " ")
if err != nil {
return "{}"
}
return string(data)
}
func generateMsgID() string {
return time.Now().Format("20060102150405.000") + "-" + fmt.Sprintf("%d", time.Now().UnixNano())
}
}