1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
|
package main
import (
"context"
"crypto/sha256"
"encoding/json"
"fmt"
"os"
"path/filepath"
"strings"
"github.com/spf13/cobra"
"code.northwest.io/codevec/internal/chunker"
"code.northwest.io/codevec/internal/embedder"
"code.northwest.io/codevec/internal/index"
"code.northwest.io/codevec/internal/walker"
)
const codevecDir = ".codevec"
const indexFile = "index.db"
var rootCmd = &cobra.Command{
Use: "codevec",
Short: "Semantic code search via embeddings",
Long: `Index your codebase and query by concept. Get relevant code chunks with file paths and line numbers.`,
}
var indexCmd = &cobra.Command{
Use: "index [path]",
Short: "Index a directory for semantic search",
Args: cobra.MaximumNArgs(1),
RunE: runIndex,
}
var queryCmd = &cobra.Command{
Use: "query <text>",
Short: "Search for relevant code",
Args: cobra.ExactArgs(1),
RunE: runQuery,
}
var statusCmd = &cobra.Command{
Use: "status",
Short: "Show index statistics",
RunE: runStatus,
}
func init() {
// index flags
indexCmd.Flags().BoolP("force", "f", false, "Re-index everything")
indexCmd.Flags().BoolP("verbose", "v", false, "Show progress")
indexCmd.Flags().StringP("provider", "p", "ollama", "Embedding provider (ollama, openai)")
indexCmd.Flags().StringP("model", "m", "", "Embedding model (default: provider-specific)")
// query flags
queryCmd.Flags().IntP("limit", "l", 10, "Max results")
queryCmd.Flags().Float64P("threshold", "t", 0.0, "Min similarity score (0-1)")
queryCmd.Flags().BoolP("show", "s", false, "Print chunk content")
queryCmd.Flags().Bool("json", false, "Output as JSON")
rootCmd.AddCommand(indexCmd)
rootCmd.AddCommand(queryCmd)
rootCmd.AddCommand(statusCmd)
}
func main() {
if err := rootCmd.Execute(); err != nil {
os.Exit(1)
}
}
func runIndex(cmd *cobra.Command, args []string) error {
path := "."
if len(args) > 0 {
path = args[0]
}
force, _ := cmd.Flags().GetBool("force")
verbose, _ := cmd.Flags().GetBool("verbose")
provider, _ := cmd.Flags().GetString("provider")
model, _ := cmd.Flags().GetString("model")
// Resolve absolute path
absPath, err := filepath.Abs(path)
if err != nil {
return err
}
// Create embedder
emb, err := embedder.New(provider, model)
if err != nil {
return err
}
// Open index
indexPath := filepath.Join(absPath, codevecDir, indexFile)
idx, err := index.Open(indexPath, emb.Dimensions())
if err != nil {
return fmt.Errorf("failed to open index: %w", err)
}
defer idx.Close()
// Store metadata
idx.SetMetadata("provider", provider)
if model != "" {
idx.SetMetadata("model", model)
}
idx.SetMetadata("dimensions", fmt.Sprintf("%d", emb.Dimensions()))
// Walk directory
w, err := walker.New(absPath, []string{".go"})
if err != nil {
return err
}
files, err := w.Walk()
if err != nil {
return err
}
if verbose {
fmt.Printf("Found %d Go files\n", len(files))
}
// Create chunker
goChunker := chunker.NewGoChunker()
// Process files
var totalChunks int
var skipped int
ctx := context.Background()
for _, file := range files {
// Read file content
content, err := os.ReadFile(file)
if err != nil {
fmt.Fprintf(os.Stderr, "Warning: failed to read %s: %v\n", file, err)
continue
}
// Compute file hash
fileHash := fmt.Sprintf("%x", sha256.Sum256(content))
// Check if already indexed
if !force {
existingHash, _ := idx.GetFileHash(file)
if existingHash == fileHash {
skipped++
continue
}
}
// Delete old chunks for this file
idx.DeleteChunksForFile(file)
// Chunk file
chunks, err := goChunker.Chunk(file, content)
if err != nil {
fmt.Fprintf(os.Stderr, "Warning: failed to parse %s: %v\n", file, err)
continue
}
if len(chunks) == 0 {
continue
}
// Generate embeddings
texts := make([]string, len(chunks))
for i, c := range chunks {
// Include file path and name for context
relPath, _ := filepath.Rel(absPath, c.File)
texts[i] = fmt.Sprintf("File: %s\n%s %s\n\n%s", relPath, c.Type, c.Name, c.Content)
}
embeddings, err := emb.Embed(ctx, texts)
if err != nil {
return fmt.Errorf("embedding failed for %s: %w", file, err)
}
// Store chunks and embeddings
for i, chunk := range chunks {
if err := idx.InsertChunk(chunk, embeddings[i]); err != nil {
return fmt.Errorf("failed to insert chunk: %w", err)
}
}
// Update file hash
idx.SetFileHash(file, fileHash)
totalChunks += len(chunks)
if verbose {
relPath, _ := filepath.Rel(absPath, file)
fmt.Printf(" %s: %d chunks\n", relPath, len(chunks))
}
}
fmt.Printf("Indexed %d chunks from %d files", totalChunks, len(files)-skipped)
if skipped > 0 {
fmt.Printf(" (%d unchanged)", skipped)
}
fmt.Println()
return nil
}
func runQuery(cmd *cobra.Command, args []string) error {
query := args[0]
limit, _ := cmd.Flags().GetInt("limit")
threshold, _ := cmd.Flags().GetFloat64("threshold")
show, _ := cmd.Flags().GetBool("show")
jsonOutput, _ := cmd.Flags().GetBool("json")
// Find index
cwd, err := os.Getwd()
if err != nil {
return err
}
indexPath := filepath.Join(cwd, codevecDir, indexFile)
if _, err := os.Stat(indexPath); os.IsNotExist(err) {
return fmt.Errorf("no index found. Run 'codevec index' first")
}
// Get provider/model from metadata
idx, err := index.Open(indexPath, 768) // temp dims, we'll read from metadata
if err != nil {
return err
}
provider, _ := idx.GetMetadata("provider")
model, _ := idx.GetMetadata("model")
idx.Close()
if provider == "" {
provider = "ollama"
}
// Create embedder
emb, err := embedder.New(provider, model)
if err != nil {
return err
}
// Reopen with correct dimensions
idx, err = index.Open(indexPath, emb.Dimensions())
if err != nil {
return err
}
defer idx.Close()
// Generate query embedding
ctx := context.Background()
embeddings, err := emb.Embed(ctx, []string{query})
if err != nil {
return fmt.Errorf("failed to embed query: %w", err)
}
// Search
results, err := idx.Search(embeddings[0], limit)
if err != nil {
return fmt.Errorf("search failed: %w", err)
}
// Filter by threshold (distance is lower = more similar)
// Convert distance to similarity for threshold comparison
var filtered []index.SearchResult
for _, r := range results {
similarity := 1 - r.Distance
if similarity >= threshold {
filtered = append(filtered, r)
}
}
results = filtered
// Output
if jsonOutput {
type jsonResult struct {
File string `json:"file"`
StartLine int `json:"start_line"`
EndLine int `json:"end_line"`
Type string `json:"type"`
Name string `json:"name"`
Score float64 `json:"score"`
Content string `json:"content,omitempty"`
}
var output []jsonResult
for _, r := range results {
relPath, _ := filepath.Rel(cwd, r.Chunk.File)
jr := jsonResult{
File: relPath,
StartLine: r.Chunk.StartLine,
EndLine: r.Chunk.EndLine,
Type: r.Chunk.Type,
Name: r.Chunk.Name,
Score: 1 - r.Distance,
}
if show {
jr.Content = r.Chunk.Content
}
output = append(output, jr)
}
enc := json.NewEncoder(os.Stdout)
enc.SetIndent("", " ")
return enc.Encode(output)
}
// Text output
if len(results) == 0 {
fmt.Println("No results found")
return nil
}
for _, r := range results {
relPath, _ := filepath.Rel(cwd, r.Chunk.File)
similarity := 1 - r.Distance
fmt.Printf("%s:%d-%d %s (%.2f)\n", relPath, r.Chunk.StartLine, r.Chunk.EndLine, r.Chunk.Name, similarity)
if show {
fmt.Println(strings.Repeat("-", 40))
fmt.Println(r.Chunk.Content)
fmt.Println()
}
}
return nil
}
func runStatus(cmd *cobra.Command, args []string) error {
cwd, err := os.Getwd()
if err != nil {
return err
}
indexPath := filepath.Join(cwd, codevecDir, indexFile)
if _, err := os.Stat(indexPath); os.IsNotExist(err) {
fmt.Println("No index found. Run 'codevec index' first.")
return nil
}
idx, err := index.Open(indexPath, 768)
if err != nil {
return err
}
defer idx.Close()
stats, err := idx.Stats()
if err != nil {
return err
}
provider, _ := idx.GetMetadata("provider")
model, _ := idx.GetMetadata("model")
dims, _ := idx.GetMetadata("dimensions")
fmt.Printf("Index: %s\n", indexPath)
fmt.Printf("Files: %d\n", stats.Files)
fmt.Printf("Chunks: %d\n", stats.Chunks)
fmt.Printf("Provider: %s\n", provider)
if model != "" {
fmt.Printf("Model: %s\n", model)
}
if dims != "" {
fmt.Printf("Dimensions: %s\n", dims)
}
return nil
}
|