Files
Enterprise-Knowledge-Base/cli/cmd/search/kb.go
T
nullkey f2e8e3f56c refactor(cli): drop aiclient package; align AGENTS.md with mainstream
Survey of 10 mainstream CLIs (gh, lark, stripe, vercel, supabase, aws,
azure, gcloud, openai/codex, github-copilot-cli) showed env-gated
per-command --help blurbs are a Stripe-only pattern; gh uses env detect
for telemetry only, and lark relies on installed agent Skills + MCP.
Our cmd/mcp/serve already covers the dominant 2025/26 path, so
internal/aiclient/ (136 LOC + 38 callsites) is net maintenance burden
without precedent.

- Drop internal/aiclient/ entirely (annotations + detect + tests)
- Remove 38 SetAgentHelp callsites + agentAwareHelpFunc / SetHelpFunc
  wiring in cmd/root.go
- Migrate 4 command-level rules to standard Long help (visible to all,
  not env-gated): doc upload mode mutex, kb edit at-least-one,
  kb pin idempotent, search chunks channel mutex
- Rewrite AGENTS.md as a developer guide (gh-style 6 H2 / 167 lines):
  audience preamble + Build / Architecture / Command Structure /
  Testing / Code Style / Error Handling. Drops sections absent in
  surveyed projects (Commit & PR Conventions, Who Uses This CLI)
- Clean 14 internal doc refs (ADR-N, spec §X, v0.X) in source comments
  and docs that pointed at docs/superpowers/ — that directory is
  local-only / uncommitted, so refs are dead for outside readers
- Drop forward-looking "once v0.2 ships" from README
2026-05-15 12:03:56 +08:00

131 lines
4.2 KiB
Go

package search
import (
"context"
"fmt"
"sort"
"strings"
"text/tabwriter"
"github.com/spf13/cobra"
"github.com/Tencent/WeKnora/cli/internal/cmdutil"
"github.com/Tencent/WeKnora/cli/internal/iostreams"
"github.com/Tencent/WeKnora/cli/internal/text"
sdk "github.com/Tencent/WeKnora/client"
)
// kbSearchFields enumerates the fields surfaced for `--json` discovery on
// `search kb`. Subset of KnowledgeBase suitable for list/filter results.
var kbSearchFields = []string{
"id", "name", "type", "description",
"is_temporary", "is_pinned",
"embedding_model_id", "summary_model_id",
"knowledge_count", "chunk_count",
"is_processing", "processing_count",
"created_at", "updated_at",
}
type KBSearchOptions struct {
Query string
Limit int
}
// KBSearchService is the narrow SDK surface this command depends on.
// Server has no fuzzy-KB-name endpoint; the CLI filters ListKnowledgeBases
// client-side. Acceptable because tenants typically have ≪ 1000 KBs.
type KBSearchService interface {
ListKnowledgeBases(ctx context.Context) ([]sdk.KnowledgeBase, error)
}
// NewCmdKB builds `weknora search kb "<query>"` - substring + case-insensitive
// match across KB names and descriptions visible to the active context.
// Results are sorted by name length (shortest first; usually the closest
// hit) for deterministic output.
func NewCmdKB(f *cmdutil.Factory) *cobra.Command {
opts := &KBSearchOptions{}
cmd := &cobra.Command{
Use: `kb "<query>"`,
Short: "Find knowledge bases by name or description (client-side substring match)",
Long: `Substring + case-insensitive match across KB names and descriptions visible
to the active context. Results are sorted by name length (shortest first;
usually the closest hit) for deterministic output.
This is name-discovery only - for searching *inside* a knowledge base's
content, use ` + "`weknora search chunks`" + `.`,
Example: ` weknora search kb "marketing"
weknora search kb "team" --limit 5 --json`,
Args: cobra.ExactArgs(1),
RunE: func(c *cobra.Command, args []string) error {
opts.Query = strings.TrimSpace(args[0])
if opts.Query == "" {
return cmdutil.NewError(cmdutil.CodeInputInvalidArgument, "query argument cannot be empty")
}
if opts.Limit < 1 || opts.Limit > 1000 {
return cmdutil.NewError(cmdutil.CodeInputInvalidArgument, "--limit must be between 1 and 1000")
}
jopts, err := cmdutil.CheckJSONFlags(c)
if err != nil {
return err
}
cli, err := f.Client()
if err != nil {
return err
}
return runKBSearch(c.Context(), opts, jopts, cli)
},
}
cmd.Flags().IntVarP(&opts.Limit, "limit", "L", 30, "Maximum results to return")
cmdutil.AddJSONFlags(cmd, kbSearchFields)
return cmd
}
func runKBSearch(ctx context.Context, opts *KBSearchOptions, jopts *cmdutil.JSONOptions, svc KBSearchService) error {
items, err := svc.ListKnowledgeBases(ctx)
if err != nil {
return cmdutil.WrapHTTP(err, "list knowledge bases")
}
matches := filterKBs(items, opts.Query)
if opts.Limit > 0 && len(matches) > opts.Limit {
matches = matches[:opts.Limit]
}
if jopts.Enabled() {
if matches == nil {
matches = []sdk.KnowledgeBase{}
}
return jopts.Emit(iostreams.IO.Out, matches)
}
if len(matches) == 0 {
fmt.Fprintln(iostreams.IO.Out, "(no matches)")
return nil
}
tw := tabwriter.NewWriter(iostreams.IO.Out, 0, 0, 2, ' ', 0)
fmt.Fprintln(tw, "ID\tNAME\tDOCS")
for _, kb := range matches {
name := text.Truncate(50, kb.Name)
fmt.Fprintf(tw, "%s\t%s\t%s\n", kb.ID, name, text.Pluralize(int(kb.KnowledgeCount), "doc"))
}
return tw.Flush()
}
// filterKBs returns the KBs whose name or description contains q (case-
// insensitive), sorted by name length so the most-likely match shows
// first. Ties broken alphabetically for determinism.
func filterKBs(items []sdk.KnowledgeBase, q string) []sdk.KnowledgeBase {
needle := strings.ToLower(q)
out := make([]sdk.KnowledgeBase, 0, len(items))
for _, kb := range items {
if text.ContainsFold(needle, kb.Name, kb.Description) {
out = append(out, kb)
}
}
sort.Slice(out, func(i, j int) bool {
if len(out[i].Name) != len(out[j].Name) {
return len(out[i].Name) < len(out[j].Name)
}
return out[i].Name < out[j].Name
})
return out
}