mirror of
https://github.com/lukaszraczylo/claude-mnemonic.git
synced 2026-06-05 23:03:55 +00:00
e07d4174de
- [x] Add type checking and error handling for JSON type assertions in user-prompt hook - [x] Add error handling for session update query in CreateSDKSession - [x] Update MCP tool description to reference sqlite-vec instead of ChromaDB - [x] Fix MinConfidence sentinel value check from 0 to -1 - [x] Pass project parameter to vector search filter in handleSearchByPrompt - [x] Return empty map instead of nil for successful responses without JSON body
130 lines
3.8 KiB
Go
130 lines
3.8 KiB
Go
// Package main provides the user-prompt hook entry point.
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package main
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import (
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"fmt"
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"net/url"
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"os"
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"github.com/lukaszraczylo/claude-mnemonic/pkg/hooks"
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)
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// Input is the hook input from Claude Code.
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type Input struct {
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hooks.BaseInput
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Prompt string `json:"prompt"`
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}
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func main() {
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hooks.RunHook("UserPromptSubmit", handleUserPrompt)
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}
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func handleUserPrompt(ctx *hooks.HookContext, input *Input) (string, error) {
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// Search for relevant observations based on the prompt
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searchURL := fmt.Sprintf("/api/context/search?project=%s&query=%s&cwd=%s",
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url.QueryEscape(ctx.Project),
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url.QueryEscape(input.Prompt),
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url.QueryEscape(ctx.CWD))
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var contextToInject string
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var observationCount int
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searchResult, _ := hooks.GET(ctx.Port, searchURL)
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if observations, ok := searchResult["observations"].([]interface{}); ok && len(observations) > 0 {
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// Results are already filtered by relevance threshold and capped by max_results
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// from the server-side config (ContextRelevanceThreshold, ContextMaxPromptResults)
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observationCount = len(observations)
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// Build context from search results
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var contextBuilder string
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contextBuilder = "<relevant-memory>\n"
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contextBuilder += "# Relevant Knowledge From Previous Sessions\n"
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contextBuilder += "IMPORTANT: Use this information to answer the question directly. Do NOT explore the codebase if the answer is here.\n\n"
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for i, obs := range observations {
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if obsMap, ok := obs.(map[string]interface{}); ok {
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title := ""
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if t, ok := obsMap["title"].(string); ok {
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title = t
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}
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obsType := ""
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if t, ok := obsMap["type"].(string); ok {
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obsType = t
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}
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// Start observation block
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contextBuilder += fmt.Sprintf("## %d. [%s] %s\n", i+1, obsType, title)
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// Add facts first (most concise answers)
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if facts, ok := obsMap["facts"].([]interface{}); ok && len(facts) > 0 {
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contextBuilder += "Key facts:\n"
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for _, fact := range facts {
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if factStr, ok := fact.(string); ok {
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contextBuilder += fmt.Sprintf("- %s\n", factStr)
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}
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}
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contextBuilder += "\n"
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}
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// Add narrative if present
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if narrative, ok := obsMap["narrative"].(string); ok && narrative != "" {
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contextBuilder += narrative + "\n\n"
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}
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}
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}
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contextBuilder += "</relevant-memory>\n"
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contextToInject = contextBuilder
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}
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// Initialize session with matched observations count
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result, err := hooks.POST(ctx.Port, "/api/sessions/init", map[string]interface{}{
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"claudeSessionId": ctx.SessionID,
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"project": ctx.Project,
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"prompt": input.Prompt,
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"matchedObservations": observationCount,
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})
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if err != nil {
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return "", err
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}
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// Check if skipped due to privacy
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if skipped, ok := result["skipped"].(bool); ok && skipped {
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fmt.Fprintf(os.Stderr, "[user-prompt] Session skipped (private)\n")
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return "", nil
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}
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// Safely extract session ID and prompt number with type checking
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sessionDbIdRaw, ok := result["sessionDbId"].(float64)
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if !ok {
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return "", fmt.Errorf("invalid or missing sessionDbId in response")
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}
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sessionID := int64(sessionDbIdRaw)
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promptNumberRaw, ok := result["promptNumber"].(float64)
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if !ok {
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return "", fmt.Errorf("invalid or missing promptNumber in response")
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}
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promptNumber := int(promptNumberRaw)
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fmt.Fprintf(os.Stderr, "[user-prompt] Session %d, prompt #%d\n", sessionID, promptNumber)
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// Start SDK agent
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_, err = hooks.POST(ctx.Port, fmt.Sprintf("/sessions/%d/init", sessionID), map[string]interface{}{
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"userPrompt": input.Prompt,
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"promptNumber": promptNumber,
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})
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if err != nil {
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return "", err
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}
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// Return context if we found relevant observations
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if observationCount > 0 {
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// Show match count to user via stderr
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fmt.Fprintf(os.Stderr, "[claude-mnemonic] Found %d relevant memories for this prompt\n", observationCount)
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return contextToInject, nil
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}
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return "", nil
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}
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