fix: update grep_chunks tool to support multiple patterns
- Renamed the input parameter from "pattern" to "patterns" to reflect that multiple text patterns can be provided. - Updated the schema definition and input structure accordingly to ensure consistency in handling multiple patterns. - Enhanced error logging to specify "patterns" when no valid input is provided, improving clarity for debugging. These changes improve the functionality of the grep_chunks tool by allowing users to search for multiple patterns simultaneously.
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@@ -56,7 +56,7 @@ grep_chunks scans enabled chunks across the specified knowledge bases and return
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schema: json.RawMessage(`{
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"type": "object",
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"properties": {
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"pattern": {
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"patterns": {
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"type": "array",
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"description": "REQUIRED: Text patterns to search for. Can be a single pattern or multiple patterns. Treated as literal text (fixed string matching). Results match any of the patterns (OR logic).",
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"items": {
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@@ -79,13 +79,13 @@ grep_chunks scans enabled chunks across the specified knowledge bases and return
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"maximum": 200
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}
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},
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"required": ["pattern"]
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"required": ["patterns"]
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}`),
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}
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// GrepChunksInput defines the input parameters for grep chunks tool
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type GrepChunksInput struct {
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Pattern []string `json:"pattern" `
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Patterns []string `json:"patterns" `
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KnowledgeBaseIDs []string `json:"knowledge_base_ids,omitempty"`
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MaxResults int `json:"max_results,omitempty"`
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}
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@@ -122,11 +122,11 @@ func (t *GrepChunksTool) Execute(ctx context.Context, args json.RawMessage) (*ty
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}
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// Parse pattern parameter (required) - support multiple patterns
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patterns := input.Pattern
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patterns := input.Patterns
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// Validate patterns
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if len(patterns) == 0 {
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logger.Errorf(ctx, "[Tool][GrepChunks] Missing or invalid pattern parameter")
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logger.Errorf(ctx, "[Tool][GrepChunks] Missing or invalid patterns parameter")
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return &types.ToolResult{
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Success: false,
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Error: "pattern parameter is required and must contain at least one non-empty pattern",
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@@ -3,6 +3,7 @@ package middleware
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import (
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"context"
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"errors"
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"fmt"
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"log"
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"net/http"
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"slices"
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@@ -190,16 +191,25 @@ func Auth(
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types.TenantInfoContextKey, t,
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)
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// 通过 TenantID 关联查询用户
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// 通过 TenantID 关联查询用户;找不到时构造系统虚拟用户,
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// 确保所有依赖 UserContextKey 的下游 handler 正常工作。
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user, err := userService.GetUserByTenantID(c.Request.Context(), tenantID)
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if err == nil && user != nil {
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c.Set(types.UserContextKey.String(), user)
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c.Set(types.UserIDContextKey.String(), user.ID)
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ctx = context.WithValue(
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context.WithValue(ctx, types.UserContextKey, user),
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types.UserIDContextKey, user.ID,
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)
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if err != nil || user == nil {
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user = &types.User{
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ID: fmt.Sprintf("system-%d", tenantID),
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Username: fmt.Sprintf("system-%d", tenantID),
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Email: fmt.Sprintf("system-%d@api-key.local", tenantID),
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TenantID: tenantID,
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IsActive: true,
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}
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log.Printf("No user found for tenant %d via API key, using synthetic system user %s", tenantID, user.ID)
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}
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c.Set(types.UserContextKey.String(), user)
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c.Set(types.UserIDContextKey.String(), user.ID)
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ctx = context.WithValue(
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context.WithValue(ctx, types.UserContextKey, user),
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types.UserIDContextKey, user.ID,
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)
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c.Request = c.Request.WithContext(ctx)
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c.Next()
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