mirror of
https://github.com/infiniflow/ragflow.git
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Ports doc-level auto-metadata extraction to Go and adds the knowledge_compiler component with scheduler/routing. Fixes Extractor metadata injection type assertion and enable_metadata default-on.
250 lines
7.3 KiB
Go
250 lines
7.3 KiB
Go
package common
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import "strings"
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// InjectExtractorLLMID finds all Extractor component entries (keys prefixed
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// with "extractor:" or "extractor_") in parserConfig and sets their llm_id
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// to the given value. Returns whether any entry was updated.
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func InjectExtractorLLMID(parserConfig map[string]interface{}, llmID string) bool {
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if parserConfig == nil || llmID == "" {
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return false
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}
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updated := false
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for cid, raw := range parserConfig {
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compMap, ok := raw.(map[string]interface{})
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if !ok {
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continue
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}
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cidLower := strings.ToLower(cid)
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if strings.HasPrefix(cidLower, "extractor:") || strings.HasPrefix(cidLower, "extractor_") {
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if current, ok := compMap["llm_id"].(string); !ok || current == "" {
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compMap["llm_id"] = llmID
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updated = true
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}
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}
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}
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return updated
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}
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// InjectExtractorEnableMetadata enables auto-metadata (enable_metadata) extraction
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// on every Extractor node when the dataset has enable_metadata on and a
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// non-empty field set (metadata and/or built_in_metadata). The dataset-level
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// enable_metadata flag is authoritative (mirrors Python task_executor.py:519,
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// which reads parser_config directly and never consults a per-node flag): a
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// shipped DSL that defaults enable_metadata to 0 is still turned on. Only a
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// node the user already turned ON (enable_metadata truthy) is left untouched,
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// so an explicit per-node enablement keeps its own config. The field schema is
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// taken from parserConfig["metadata"] and parserConfig["built_in_metadata"]
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// (combined). Returns whether any entry was updated.
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func InjectExtractorEnableMetadata(parserConfig map[string]interface{}) bool {
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if parserConfig == nil {
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return false
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}
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if !isTruthy(parserConfig["enable_metadata"]) {
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return false
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}
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fields := metadataFieldDefs(parserConfig)
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if len(fields) == 0 {
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return false
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}
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updated := false
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for cid, raw := range parserConfig {
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compMap, ok := raw.(map[string]interface{})
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if !ok {
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continue
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}
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cidLower := strings.ToLower(cid)
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if !strings.HasPrefix(cidLower, "extractor:") && !strings.HasPrefix(cidLower, "extractor_") {
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continue
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}
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// The dataset-level enable_metadata flag is authoritative (mirrors
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// Python task_executor.py:519, which reads parser_config directly and
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// never consults a per-node flag). Only a node the user already turned
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// ON (truthy) is left alone; a shipped DSL that defaults the field to
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// 0 must still be enabled by the dataset flag, otherwise auto-metadata
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// could never turn on for any of the built-in pipelines.
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if isTruthy(compMap["enable_metadata"]) {
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continue
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}
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compMap["enable_metadata"] = 1
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compMap["metadata"] = fields
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updated = true
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}
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return updated
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}
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// metadataFieldDefs combines parserConfig["metadata"] and
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// parserConfig["built_in_metadata"] into the field list injected as
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// metadata (each entry keeps key/type/description/enum, mirroring the
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// stored shape from dataset/helpers.go normalizeMetadataConfigFields).
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//
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// It returns []any (i.e. []interface{}) rather than []map[string]interface{}
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// because the injected value is handed to NewExtractorComponent, which reads
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// params["metadata"].([]any). A []map[string]interface{} value would fail that
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// type assertion (Go slice types are not covariant) and the field schema would
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// be silently dropped, so auto-metadata never reached ExtractorParam.Metadata.
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func metadataFieldDefs(parserConfig map[string]interface{}) []any {
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var out []any
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for _, key := range []string{"metadata", "built_in_metadata"} {
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raw, ok := parserConfig[key].([]interface{})
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if !ok {
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continue
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}
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for _, item := range raw {
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m, ok := item.(map[string]interface{})
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if !ok {
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continue
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}
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k, _ := m["key"].(string)
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if strings.TrimSpace(k) == "" {
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continue
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}
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out = append(out, m)
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}
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}
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return out
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}
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// isTruthy reports whether a parserConfig flag (e.g. enable_metadata) is on.
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// It tolerates bool, numeric >0 and the strings "true"/"1" so storage
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// representation differences don't silently disable the feature.
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func isTruthy(v interface{}) bool {
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switch t := v.(type) {
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case bool:
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return t
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case string:
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return t == "true" || t == "1" || t == "True" || t == "TRUE"
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case float64:
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return t > 0
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case int:
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return t > 0
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case int64:
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return t > 0
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}
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return false
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}
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// deepCopyMap duplicates a JSON-like map so later merges do not mutate shared defaults.
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func deepCopyMap(source map[string]interface{}) map[string]interface{} {
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if source == nil {
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return nil
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}
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cloned := make(map[string]interface{}, len(source))
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for key, value := range source {
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cloned[key] = deepCopyValue(value)
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}
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return cloned
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}
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// deepCopyValue recursively copies nested maps and slices inside parser_config values.
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func deepCopyValue(value interface{}) interface{} {
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switch typedValue := value.(type) {
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case map[string]interface{}:
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return deepCopyMap(typedValue)
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case []interface{}:
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cloned := make([]interface{}, len(typedValue))
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for idx, item := range typedValue {
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cloned[idx] = deepCopyValue(item)
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}
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return cloned
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default:
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return typedValue
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}
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}
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// DeepMergeMaps applies override onto base while preserving nested defaults such as raptor/graphrag.
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func DeepMergeMaps(base, override map[string]interface{}) map[string]interface{} {
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merged := deepCopyMap(base)
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if merged == nil {
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merged = make(map[string]interface{})
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}
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if override == nil {
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return merged
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}
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for key, value := range override {
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overrideMap, overrideIsMap := value.(map[string]interface{})
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existingMap, existingIsMap := merged[key].(map[string]interface{})
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if overrideIsMap && existingIsMap {
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merged[key] = DeepMergeMaps(existingMap, overrideMap)
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continue
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}
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merged[key] = deepCopyValue(value)
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}
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return merged
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}
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// GetParserConfig builds the final parser_config stored on a dataset:
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// base defaults -> chunk-method defaults -> caller overrides.
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func GetParserConfig(parserID string, parserConfig map[string]interface{}) map[string]interface{} {
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baseDefaults := map[string]interface{}{
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"table_context_size": 0,
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"image_context_size": 0,
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}
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defaultConfigs := map[string]map[string]interface{}{
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"naive": {
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"layout_recognize": "DeepDOC",
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"chunk_token_num": 512,
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"delimiter": "\n",
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"auto_keywords": 0,
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"auto_questions": 0,
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"html4excel": false,
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"topn_tags": 3,
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},
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"qa": nil,
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"resume": nil,
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"manual": nil,
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"paper": nil,
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"book": nil,
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"laws": nil,
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"presentation": nil,
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}
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merged := DeepMergeMaps(baseDefaults, defaultConfigs[parserID])
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return DeepMergeMaps(merged, parserConfig)
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}
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func ExtractPipelineDefaults(dsl map[string]interface{}) map[string]interface{} {
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if dsl == nil {
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return nil
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}
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if inner, ok := dsl["dsl"].(map[string]interface{}); ok {
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dsl = inner
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}
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components, _ := dsl["components"].(map[string]interface{})
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if components == nil {
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return nil
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}
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result := make(map[string]interface{})
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hasAny := false
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for cid, compVal := range components {
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compMap, ok := compVal.(map[string]interface{})
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if !ok {
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continue
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}
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obj, _ := compMap["obj"].(map[string]interface{})
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if obj == nil {
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continue
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}
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name, _ := obj["component_name"].(string)
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if name == "" || name == "File" {
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continue
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}
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params, _ := obj["params"].(map[string]interface{})
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if params == nil {
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continue
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}
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copy_ := deepCopyMap(params)
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delete(copy_, "outputs")
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result[cid] = copy_
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hasAny = true
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}
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if !hasAny {
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return nil
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}
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return result
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}
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