mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-22 07:31:05 +08:00
### Summary Refactor dataset.go document.do file.go file2document.go in internal/service.
152 lines
4.9 KiB
Go
152 lines
4.9 KiB
Go
package service
|
|
|
|
import (
|
|
"encoding/json"
|
|
"errors"
|
|
"fmt"
|
|
"strings"
|
|
|
|
"ragflow/internal/dao"
|
|
"ragflow/internal/entity"
|
|
pipelinepkg "ragflow/internal/ingestion/pipeline"
|
|
)
|
|
|
|
// loadCanvasDSLJSON returns the DSL JSON for a custom canvas pipeline. The
|
|
// canvas's dsl column holds the same component-graph structure that built-in
|
|
// templates use, so it can be validated by the same schema extractor. It is a
|
|
// package-level function so both document and knowledge-base updates reuse it.
|
|
func loadCanvasDSLJSON(canvasID string) ([]byte, error) {
|
|
if strings.TrimSpace(canvasID) == "" {
|
|
return nil, fmt.Errorf("empty canvas id")
|
|
}
|
|
canvas, err := dao.NewUserCanvasDAO().GetByID(canvasID)
|
|
if err != nil {
|
|
if errors.Is(err, dao.ErrUserCanvasNotFound) {
|
|
return nil, fmt.Errorf("canvas %s not found", canvasID)
|
|
}
|
|
return nil, fmt.Errorf("load canvas %s: %w", canvasID, err)
|
|
}
|
|
if len(canvas.DSL) == 0 {
|
|
return nil, fmt.Errorf("canvas %s has no DSL", canvasID)
|
|
}
|
|
raw, err := json.Marshal(canvas.DSL)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("marshal canvas %s DSL: %w", canvasID, err)
|
|
}
|
|
return raw, nil
|
|
}
|
|
|
|
// LoadPipelineDSL loads the DSL JSON for a pipeline identified by parserID
|
|
// (built-in) or pipelineID (custom canvas). When both are provided, isCanvas
|
|
// selects which one to use.
|
|
func LoadPipelineDSL(isCanvas bool, parserID string, pipelineID *string) ([]byte, error) {
|
|
if isCanvas {
|
|
return loadCanvasDSLJSON(strings.TrimSpace(*pipelineID))
|
|
}
|
|
registry, err := pipelinepkg.DefaultRegistry()
|
|
if err != nil {
|
|
return nil, fmt.Errorf("builtin pipeline registry: %w", err)
|
|
}
|
|
if !registry.IsValid(parserID) {
|
|
return nil, fmt.Errorf("unknown builtin parser_id: %s", parserID)
|
|
}
|
|
dslStr, err := pipelinepkg.LoadBuiltinDSL(parserID)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("load builtin DSL for %q: %w", parserID, err)
|
|
}
|
|
return []byte(dslStr), nil
|
|
}
|
|
|
|
// ResolveComponentParamsDefaults loads the DSL for the target pipeline and
|
|
// returns the component params defaults as an entity.JSONMap {cpnID: {param: value}}.
|
|
// For builtin templates the DSL is loaded from the embedded registry; for custom
|
|
// canvas pipelines it is loaded from the canvas row in the database.
|
|
func ResolveComponentParamsDefaults(parserID string, pipelineID *string) (entity.JSONMap, error) {
|
|
isCanvas := pipelineID != nil && strings.TrimSpace(*pipelineID) != ""
|
|
var cp map[string]map[string]any
|
|
var err error
|
|
if isCanvas {
|
|
dslJSON, lerr := loadCanvasDSLJSON(strings.TrimSpace(*pipelineID))
|
|
if lerr != nil {
|
|
return nil, fmt.Errorf("load canvas DSL: %w", lerr)
|
|
}
|
|
cp, err = pipelinepkg.ComponentParamsDefaults(dslJSON)
|
|
} else {
|
|
registry, regErr := pipelinepkg.DefaultRegistry()
|
|
if regErr != nil {
|
|
return nil, fmt.Errorf("builtin registry: %w", regErr)
|
|
}
|
|
if !registry.IsValid(parserID) {
|
|
return nil, fmt.Errorf("unknown builtin parser_id: %q", parserID)
|
|
}
|
|
dslStr, dslErr := pipelinepkg.LoadBuiltinDSL(parserID)
|
|
if dslErr != nil {
|
|
return nil, fmt.Errorf("load builtin DSL: %w", dslErr)
|
|
}
|
|
cp, err = pipelinepkg.ComponentParamsDefaults([]byte(dslStr))
|
|
}
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
out := make(entity.JSONMap, len(cp))
|
|
for k, v := range cp {
|
|
out[k] = v
|
|
}
|
|
return out, nil
|
|
}
|
|
|
|
// ValidateDatasetEmbeddingModels checks that all knowledge bases in the list
|
|
// either have an embedding model or none do, and that they all use the same model.
|
|
func ValidateDatasetEmbeddingModels(kbs []*entity.Knowledgebase) error {
|
|
embdIDs := make(map[string]struct{})
|
|
hasEmbd := false
|
|
noEmbd := false
|
|
for _, kb := range kbs {
|
|
if kb.EmbdID != "" {
|
|
hasEmbd = true
|
|
baseName := kb.EmbdID
|
|
if idx := strings.LastIndex(kb.EmbdID, "@"); idx > 0 {
|
|
baseName = kb.EmbdID[:idx]
|
|
// Strip the second-to-last @-segment too (instance name),
|
|
// matching Python's _base_model_name which uses rsplit("@", 2).
|
|
if idx2 := strings.LastIndex(baseName, "@"); idx2 > 0 {
|
|
baseName = baseName[:idx2]
|
|
}
|
|
}
|
|
embdIDs[baseName] = struct{}{}
|
|
} else {
|
|
noEmbd = true
|
|
}
|
|
}
|
|
if hasEmbd && noEmbd {
|
|
return fmt.Errorf("Cannot search across datasets where some have embedding models and others do not.")
|
|
}
|
|
if len(embdIDs) > 1 {
|
|
return fmt.Errorf("Datasets use different embedding models: %v", getEmbdIDs(kbs))
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func getEmbdIDs(kbs []*entity.Knowledgebase) []string {
|
|
ids := make([]string, len(kbs))
|
|
for i, kb := range kbs {
|
|
ids[i] = kb.EmbdID
|
|
}
|
|
return ids
|
|
}
|
|
|
|
// Backward-compat lowercase aliases for callers within the service package.
|
|
// These will be removed when callers are updated to use the exported names.
|
|
|
|
func loadPipelineDSL(isCanvas bool, parserID string, pipelineID *string) ([]byte, error) {
|
|
return LoadPipelineDSL(isCanvas, parserID, pipelineID)
|
|
}
|
|
|
|
func resolveComponentParamsDefaults(parserID string, pipelineID *string) (entity.JSONMap, error) {
|
|
return ResolveComponentParamsDefaults(parserID, pipelineID)
|
|
}
|
|
|
|
func validateDatasetEmbeddingModels(kbs []*entity.Knowledgebase) error {
|
|
return ValidateDatasetEmbeddingModels(kbs)
|
|
}
|