WeKnora deployment source with the reviewed wiki identity, summary and recovery fixes
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This commit is contained in:
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package search
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import (
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"context"
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"fmt"
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"sort"
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"strings"
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"text/tabwriter"
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"github.com/spf13/cobra"
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"github.com/Tencent/WeKnora/cli/internal/cmdutil"
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"github.com/Tencent/WeKnora/cli/internal/iostreams"
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"github.com/Tencent/WeKnora/cli/internal/output"
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"github.com/Tencent/WeKnora/cli/internal/text"
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sdk "github.com/Tencent/WeKnora/client"
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)
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// docsPageSize is the default --page-size on `search docs`: how many
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// entries to pull per ListKnowledgeWithFilter round-trip. The server
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// applies the keyword filter pre-pagination, so most KBs return in a
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// single page even at conservative sizes. Server caps page_size at 1000.
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const docsPageSize = 200
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// docsMaxPageSize bounds the --page-size flag, matching the session/doc list cap.
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const docsMaxPageSize = 1000
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// docsFields enumerates the fields surfaced for `--format json` discovery on
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// `search docs`. Mirrors sdk.Knowledge json tags.
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var docsFields = []string{
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"id", "tenant_id", "knowledge_base_id", "tag_id", "type", "title",
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"description", "source", "channel", "parse_status", "summary_status",
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"enable_status", "embedding_model_id", "file_name", "file_type",
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"file_size", "file_hash", "file_path", "storage_size", "metadata",
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"created_at", "updated_at", "processed_at", "error_message",
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}
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type DocsSearchOptions struct {
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Query string
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KB string // raw --kb (UUID or name)
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KBID string // resolved id; populated before listing
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Limit int
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// PageSize is the server batch size per ListKnowledgeWithFilter call
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// (1..1000, default 200). Tunable so a caller searching a small KB
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// can fetch everything in one round-trip, or a caller on flaky
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// network can shorten the batch.
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PageSize int
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// AllPages walks server pages internally until total exhausted or
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// --limit accumulated. Default true; setting false stops after the
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// first page (useful for cheap previews).
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AllPages bool
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}
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// DocsSearchService is the narrow SDK surface this command depends on.
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// The server applies the keyword filter pre-pagination via the
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// ?keyword= query param, so the CLI just forwards opts.Query as
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// filter.Keyword and accumulates the (already-filtered) pages.
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type DocsSearchService interface {
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ListKnowledgeWithFilter(ctx context.Context, kbID string, page, pageSize int, filter sdk.KnowledgeListFilter) ([]sdk.Knowledge, int64, error)
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}
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// NewCmdDocs builds `weknora search docs "<query>" --kb <id-or-name>`.
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// Pages through the KB's documents and surfaces every entry whose title
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// or file_name contains the query as a server-side case-insensitive LIKE
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// match. Useful for finding a specific upload to download or delete.
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func NewCmdDocs(f *cmdutil.Factory) *cobra.Command {
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opts := &DocsSearchOptions{}
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cmd := &cobra.Command{
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Use: `docs "<query>"`,
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Short: "Find documents in a knowledge base by keyword (server-side filter)",
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Long: `Pages through the KB's documents, forwarding the query as the server-side
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keyword filter (matched against title / file_name). Useful for finding a
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specific upload to download or delete by id.
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The query is a case-insensitive server-side LIKE filter (the server runs
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` + "`LOWER(...) LIKE LOWER('%keyword%')`" + ` against title and file_name), so
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` + "`FALCON`" + ` and ` + "`falcon`" + ` match the same documents.
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By default, --all-pages=true walks every server page until --limit is
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reached or the KB is exhausted. Pass --all-pages=false to stop after one page.`,
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Example: ` weknora search docs "Q3 forecast" --kb finance
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weknora search docs "spec" --kb engineering --limit 5
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weknora search docs "spec" --kb engineering --all-pages=false`,
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Args: cobra.ExactArgs(1),
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RunE: func(c *cobra.Command, args []string) error {
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opts.Query = strings.TrimSpace(args[0])
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if opts.Query == "" {
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return cmdutil.NewError(cmdutil.CodeInputInvalidArgument, "query argument cannot be empty")
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}
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if opts.Limit < 1 || opts.Limit > 1000 {
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return cmdutil.NewError(cmdutil.CodeInputInvalidArgument, "--limit must be between 1 and 1000")
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}
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fopts, err := cmdutil.CheckFormatFlag(c)
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if err != nil {
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return err
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}
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fopts.ResolveDefault(iostreams.IO.IsStdoutTTY())
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// Resolve KB via the shared flag→env→project-link chain (same as
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// `doc list` / `chat`), so a linked directory or WEKNORA_KB_ID
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// works without an explicit --kb. Resolve before building the
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// client so an unresolved KB short-circuits to local.kb_id_required
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// without a client round-trip.
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kbID, err := f.ResolveKB(c)
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if err != nil {
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return err
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}
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opts.KBID = kbID
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cli, err := f.Client()
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if err != nil {
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return err
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}
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return runDocsSearch(c.Context(), opts, fopts, cli)
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},
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}
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cmd.Flags().StringVar(&opts.KB, "kb", "", "Knowledge base UUID or name (overrides env / project link)")
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cmd.Flags().IntVarP(&opts.Limit, "limit", "L", 30, "Maximum results to return")
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cmd.Flags().IntVar(&opts.PageSize, "page-size", docsPageSize, "Items per server batch (1..1000)")
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cmd.Flags().BoolVar(&opts.AllPages, "all-pages", true, "Walk every server page until exhausted or --limit hit")
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cmdutil.AddFormatFlag(cmd, docsFields...)
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cmdutil.SetAgentHelp(cmd, cmdutil.AgentHelp{
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UsedFor: "Find documents in a knowledge base by keyword (server-side LIKE filter on title/file_name). The KB comes from --kb (id or name), else WEKNORA_KB_ID, else the linked directory. Results come with meta.count; use --limit to cap and --all-pages=false to stop after one page.",
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RequiredFlags: []string{"<query> (positional)", "--kb (or WEKNORA_KB_ID / linked directory)"},
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Examples: []string{`weknora search docs "spec" --kb engineering --format json`},
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Output: "envelope.data is an array of Knowledge objects with id, title, file_name, parse_status; meta.count is the returned count, meta.total_count the server's full match count, meta.has_more=true if more matched than --limit",
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})
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return cmd
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}
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func runDocsSearch(ctx context.Context, opts *DocsSearchOptions, fopts *cmdutil.FormatOptions, svc DocsSearchService) error {
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if opts.PageSize < 1 || opts.PageSize > docsMaxPageSize {
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return cmdutil.NewError(cmdutil.CodeInputInvalidArgument,
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fmt.Sprintf("--page-size must be in 1..%d, got %d", docsMaxPageSize, opts.PageSize))
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}
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filter := sdk.KnowledgeListFilter{Keyword: opts.Query}
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var matches []sdk.Knowledge
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// Page through the KB until limit matches found or pagination exhausted.
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// The server applies the keyword filter pre-pagination, so every item
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// returned is already a match - no client-side filter needed.
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// --all-pages=true (default) walks every server page; --all-pages=false
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// stops after the first page. Termination counts records actually
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// received so server-capped page_size doesn't truncate.
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var serverTotal int64
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for page := 1; ; page++ {
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items, total, err := svc.ListKnowledgeWithFilter(ctx, opts.KBID, page, opts.PageSize, filter)
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if err != nil {
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return cmdutil.WrapHTTP(err, "list documents")
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}
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serverTotal = total
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for _, k := range items {
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matches = append(matches, k)
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// Collect one past --limit so has_more is accurate; trimmed below.
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if opts.Limit > 0 && len(matches) > opts.Limit {
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goto done
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}
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}
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if !opts.AllPages {
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break
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}
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if int64(len(matches)) >= total || len(items) == 0 {
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break
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}
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}
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done:
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sortKnowledgeByRecency(matches)
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truncated := opts.Limit > 0 && len(matches) > opts.Limit
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if truncated {
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matches = matches[:opts.Limit]
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}
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if fopts.WantsJSON() {
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if matches == nil {
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matches = []sdk.Knowledge{}
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}
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meta := &output.Meta{Count: output.IntPtr(len(matches)), TotalCount: output.IntPtr(int(serverTotal)), HasMore: truncated, Hint: emptyContentSearchHint(len(matches))}
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return fopts.Emit(iostreams.IO.Out, matches, meta)
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}
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if len(matches) == 0 {
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fmt.Fprintln(iostreams.IO.Out, "(no matches)")
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return nil
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}
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tw := tabwriter.NewWriter(iostreams.IO.Out, 0, 0, 2, ' ', 0)
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fmt.Fprintln(tw, "ID\tFILE\tTYPE\tUPDATED")
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for _, k := range matches {
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name := text.Truncate(50, text.KnowledgeDisplayName(k.FileName, k.Title, k.ID))
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fmt.Fprintf(tw, "%s\t%s\t%s\t%s\n", k.ID, name, k.FileType, k.UpdatedAt.Format("2006-01-02"))
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}
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return tw.Flush()
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}
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// sortKnowledgeByRecency sorts in place by UpdatedAt desc.
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func sortKnowledgeByRecency(items []sdk.Knowledge) {
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sort.Slice(items, func(i, j int) bool {
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return items[i].UpdatedAt.After(items[j].UpdatedAt)
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})
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}
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