Files
ragflow/internal/engine/engine.go
qinling0210 563d855780 Implement OpenAI chat completions in GO (#16177)
### What problem does this PR solve?

Implement OpenAI chat completions in GO

POST /api/v1/openai/<chat_id>/chat/completions

OpenAI chat cli: internal/development.md

### Type of change

- [x] Refactoring
2026-06-18 18:07:27 +08:00

103 lines
4.8 KiB
Go

//
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
package engine
import (
"context"
"ragflow/internal/common"
"ragflow/internal/engine/types"
)
// EngineType document engine type
type EngineType string
const (
EngineElasticsearch EngineType = "elasticsearch"
EngineInfinity EngineType = "infinity"
)
// DocEngine document storage engine interface
type DocEngine interface {
// Chunk operations
CreateChunkStore(ctx context.Context, baseName, datasetID string, vectorSize int, parserID string) error
InsertChunks(ctx context.Context, chunks []map[string]interface{}, baseName string, datasetID string) ([]string, error)
UpdateChunks(ctx context.Context, condition map[string]interface{}, newValue map[string]interface{}, baseName string, datasetID string) error
DeleteChunks(ctx context.Context, condition map[string]interface{}, baseName string, datasetID string) (int64, error)
Search(ctx context.Context, req *types.SearchRequest) (*types.SearchResult, error)
GetChunk(ctx context.Context, baseName, chunkID string, datasetIDs []string) (interface{}, error)
DropChunkStore(ctx context.Context, baseName, datasetID string) error
ChunkStoreExists(ctx context.Context, baseName, datasetID string) (bool, error)
// Document metadata operations
CreateMetadataStore(ctx context.Context, tenantID string) error
InsertMetadata(ctx context.Context, metadata []map[string]interface{}, tenantID string) ([]string, error)
UpdateMetadata(ctx context.Context, docID string, datasetID string, metaFields map[string]interface{}, tenantID string) error
DeleteMetadata(ctx context.Context, condition map[string]interface{}, tenantID string) (int64, error)
DeleteMetadataKeys(ctx context.Context, docID string, datasetID string, keys []string, tenantID string) error
DropMetadataStore(ctx context.Context, tenantID string) error
MetadataStoreExists(ctx context.Context, tenantID string) (bool, error)
SearchMetadata(ctx context.Context, req *types.SearchMetadataRequest) (*types.SearchMetadataResult, error)
// Document operations (used by skill indexing)
IndexDocument(ctx context.Context, indexName, docID string, doc interface{}) error
DeleteDocument(ctx context.Context, indexName, docID string) error
BulkIndex(ctx context.Context, indexName string, docs []interface{}) (interface{}, error)
// Utility functions for search result processing
GetFields(chunks []map[string]interface{}, fields []string) map[string]map[string]interface{}
GetAggregation(chunks []map[string]interface{}, fieldName string) []map[string]interface{}
GetHighlight(chunks []map[string]interface{}, keywords []string, fieldName string) map[string]string
// Run SQL
RunSQL(ctx context.Context, tableName string, sqlText string, kbIDs []string, format string) ([]map[string]interface{}, error)
GetChunkIDs(chunks []map[string]interface{}) []string
KNNScores(ctx context.Context, chunks []map[string]interface{}, queryVector []float64, topK int) (map[string]interface{}, error)
GetScores(searchResult map[string]interface{}) map[string]float64
// Health check
Ping(ctx context.Context) error
Close() error
// GetType returns the engine type
GetType() string
// FilterDocIdsByMetaPushdown runs a metadata filter directly against
// the doc metadata index, returning matching doc IDs or nil if push-down
// is not supported (caller should fall back to in-memory filtering).
// conditions is a list of filter objects with keys: key, op, value
FilterDocIdsByMetaPushdown(ctx context.Context, kbIDs []string, conditions []map[string]interface{}, logic string) []string
}
// Type returns the engine type (helper method for runtime type checking)
// This is a workaround since we can't import elasticsearch or infinity packages directly
func Type(docEngine DocEngine) EngineType {
// Type checking through interface methods is not straightforward
// This is a placeholder that should be implemented differently
// or rely on configuration to know the type
return EngineType("unknown")
}
type MessageQueue interface {
Init() error
InitConsumer(subject string) error
PublishTask(subject string, payload []byte) error
GetMessages(messageCount int) ([]common.TaskHandle, error)
ListMessages(messageType string, pending bool) ([]map[string]string, error)
ShowMessageQueue() (map[string]string, error)
}