search

type ChunkSource interface {
	AllChunks(pathPrefix string) ([]index.ChunkRow, error)
}

type DupeOptions struct {
	MinScore   float64  // report pairs at or above this cosine value
	Limit      int      // max pairs to return; <= 0 means no cap
	PathPrefix string   // restrict to files under this rel-path prefix
	Exclude    []string // drop files under any of these rel-path prefixes
	WithinFile bool     // also report pairs from the same file (default: cross-file only)
}

type Embedder func(text string) (embed.Vec, error)

type Hit struct {
	RelPath string  `json:"path"`
	Line    int     `json:"line"`
	Heading string  `json:"heading,omitempty"`
	Variant string  `json:"variant"`
	Key     string  `json:"key"`
	Score   float64 `json:"score"`
	Text    string  `json:"text"`
}

type Kind int

type Options struct {
	Limit      int     // max hits to return; <= 0 means no cap
	PathPrefix string  // restrict to files under this rel-path prefix
	MinScore   float64 // drop hits scoring below this cosine value
	Collapse   bool    // keep only the best-scoring chunk per file
	Kind       Kind    // restrict to docs or code; KindAny searches both

	// Langs restricts results to these canonical language names (see
	// chunk.NormalizeLanguage). Empty means every language. This is a finer
	// cut than Kind: "code" is one bit, but with eighteen languages indexed
	// the useful question is usually "the Python one" or "the manifests".
	Langs []string
}

type Pair struct {
	A     Hit     `json:"a"`
	B     Hit     `json:"b"`
	Score float64 `json:"score"`
}