Files
Enterprise-Knowledge-Base/internal/agent/tools/data_schema.go
T
wizardchen 4158773849 feat: add organization management features
- Introduced a new API for organization management, including creation, updating, and deletion of organizations.
- Implemented organization sharing functionality for knowledge bases, allowing users to share knowledge bases with specific organizations and set permissions.
- Added UI components for organization selection and sharing dialogs.
- Enhanced existing components to support organization-related features, including shared knowledge base handling and organization role management.

This update enhances collaboration capabilities within the application by allowing users to manage and share knowledge bases across different organizations.
2026-02-09 11:40:25 +08:00

115 lines
3.2 KiB
Go

package tools
import (
"context"
"encoding/json"
"fmt"
"github.com/Tencent/WeKnora/internal/types"
"github.com/Tencent/WeKnora/internal/types/interfaces"
"github.com/Tencent/WeKnora/internal/utils"
)
var dataSchemaTool = BaseTool{
name: ToolDataSchema,
description: "Use this tool to get the schema information of a CSV or Excel file loaded into DuckDB. It returns the table name, columns, and row count.",
schema: utils.GenerateSchema[DataSchemaInput](),
}
type DataSchemaInput struct {
KnowledgeID string `json:"knowledge_id" jsonschema:"id of the knowledge to query"`
}
type DataSchemaTool struct {
BaseTool
knowledgeService interfaces.KnowledgeService
chunkRepo interfaces.ChunkRepository
targetChunkTypes []types.ChunkType
}
func NewDataSchemaTool(knowledgeService interfaces.KnowledgeService, chunkRepo interfaces.ChunkRepository, targetChunkTypes ...types.ChunkType) *DataSchemaTool {
if len(targetChunkTypes) == 0 {
targetChunkTypes = []types.ChunkType{types.ChunkTypeTableSummary, types.ChunkTypeTableColumn}
}
return &DataSchemaTool{
BaseTool: dataSchemaTool,
knowledgeService: knowledgeService,
chunkRepo: chunkRepo,
targetChunkTypes: targetChunkTypes,
}
}
// Execute executes the tool logic
func (t *DataSchemaTool) Execute(ctx context.Context, args json.RawMessage) (*types.ToolResult, error) {
var input DataSchemaInput
if err := json.Unmarshal(args, &input); err != nil {
return &types.ToolResult{
Success: false,
Error: fmt.Sprintf("Failed to parse input args: %v", err),
}, err
}
// Get knowledge to get TenantID (use IDOnly to support cross-tenant shared KB)
knowledge, err := t.knowledgeService.GetKnowledgeByIDOnly(ctx, input.KnowledgeID)
if err != nil {
return &types.ToolResult{
Success: false,
Error: fmt.Sprintf("Failed to get knowledge '%s': %v", input.KnowledgeID, err),
}, err
}
// Get chunks for the knowledge ID using ChunkRepository
// We only need table summary and column chunks
chunkTypes := t.targetChunkTypes
page := &types.Pagination{
Page: 1,
PageSize: 100, // Should be enough for schema chunks
}
chunks, _, err := t.chunkRepo.ListPagedChunksByKnowledgeID(
ctx,
knowledge.TenantID,
input.KnowledgeID,
page,
chunkTypes,
"", // tagID
"", // keyword
"", // searchField
"", // sortOrder
"", // knowledgeType
)
if err != nil {
return &types.ToolResult{
Success: false,
Error: fmt.Sprintf("Failed to list chunks for knowledge ID '%s': %v", input.KnowledgeID, err),
}, err
}
var summaryContent, columnContent string
for _, chunk := range chunks {
if chunk.ChunkType == types.ChunkTypeTableSummary {
summaryContent = chunk.Content
} else if chunk.ChunkType == types.ChunkTypeTableColumn {
columnContent = chunk.Content
}
}
if summaryContent == "" || columnContent == "" {
return &types.ToolResult{
Success: false,
Error: fmt.Sprintf("No table schema information found for knowledge ID '%s'", input.KnowledgeID),
}, fmt.Errorf("no schema info found")
}
output := fmt.Sprintf("%s\n\n%s", summaryContent, columnContent)
return &types.ToolResult{
Success: true,
Output: output,
Data: map[string]interface{}{
"summary": summaryContent,
"columns": columnContent,
},
}, nil
}