From 66f3fcc17b00108868c5618b7390c53e80f3f054 Mon Sep 17 00:00:00 2001 From: choizhang Date: Thu, 10 Apr 2025 23:17:33 +0800 Subject: [PATCH 01/19] feat: Add query mode 'bypass' to bypass knowledge retrieval and directly use LLM --- lightrag/api/routers/query_routes.py | 2 +- lightrag/base.py | 2 +- lightrag/lightrag.py | 8 ++++++++ lightrag_webui/src/api/lightrag.ts | 3 ++- lightrag_webui/src/components/retrieval/QuerySettings.tsx | 1 + lightrag_webui/src/locales/ar.json | 3 ++- lightrag_webui/src/locales/en.json | 3 ++- lightrag_webui/src/locales/fr.json | 3 ++- lightrag_webui/src/locales/zh.json | 3 ++- 9 files changed, 21 insertions(+), 7 deletions(-) diff --git a/lightrag/api/routers/query_routes.py b/lightrag/api/routers/query_routes.py index c9648356..81603487 100644 --- a/lightrag/api/routers/query_routes.py +++ b/lightrag/api/routers/query_routes.py @@ -22,7 +22,7 @@ class QueryRequest(BaseModel): description="The query text", ) - mode: Literal["local", "global", "hybrid", "naive", "mix"] = Field( + mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = Field( default="hybrid", description="Query mode", ) diff --git a/lightrag/base.py b/lightrag/base.py index 5cf5ab61..e2b0fd32 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -36,7 +36,7 @@ T = TypeVar("T") class QueryParam: """Configuration parameters for query execution in LightRAG.""" - mode: Literal["local", "global", "hybrid", "naive", "mix"] = "global" + mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = "global" """Specifies the retrieval mode: - "local": Focuses on context-dependent information. - "global": Utilizes global knowledge. diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 0933a4d1..386ea814 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1381,6 +1381,14 @@ class LightRAG: hashing_kv=self.llm_response_cache, # Directly use llm_response_cache system_prompt=system_prompt, ) + elif param.mode == "bypass": + # Bypass mode: directly use LLM without knowledge retrieval + use_llm_func = param.model_func or global_config["llm_model_func"] + response = await use_llm_func( + query.strip(), + system_prompt=system_prompt, + history_messages=param.conversation_history, + ) else: raise ValueError(f"Unknown mode {param.mode}") await self._query_done() diff --git a/lightrag_webui/src/api/lightrag.ts b/lightrag_webui/src/api/lightrag.ts index bd49f7dc..98ac703f 100644 --- a/lightrag_webui/src/api/lightrag.ts +++ b/lightrag_webui/src/api/lightrag.ts @@ -65,8 +65,9 @@ export type LightragDocumentsScanProgress = { * - "global": Utilizes global knowledge. * - "hybrid": Combines local and global retrieval methods. * - "mix": Integrates knowledge graph and vector retrieval. + * - "bypass": Bypasses knowledge retrieval and directly uses the LLM. */ -export type QueryMode = 'naive' | 'local' | 'global' | 'hybrid' | 'mix' +export type QueryMode = 'naive' | 'local' | 'global' | 'hybrid' | 'mix' | 'bypass' export type Message = { role: 'user' | 'assistant' | 'system' diff --git a/lightrag_webui/src/components/retrieval/QuerySettings.tsx b/lightrag_webui/src/components/retrieval/QuerySettings.tsx index 9fca1782..f5e17cc1 100644 --- a/lightrag_webui/src/components/retrieval/QuerySettings.tsx +++ b/lightrag_webui/src/components/retrieval/QuerySettings.tsx @@ -55,6 +55,7 @@ export default function QuerySettings() { {t('retrievePanel.querySettings.queryModeOptions.global')} {t('retrievePanel.querySettings.queryModeOptions.hybrid')} {t('retrievePanel.querySettings.queryModeOptions.mix')} + {t('retrievePanel.querySettings.queryModeOptions.bypass')} diff --git a/lightrag_webui/src/locales/ar.json b/lightrag_webui/src/locales/ar.json index 36f31e92..42d9d527 100644 --- a/lightrag_webui/src/locales/ar.json +++ b/lightrag_webui/src/locales/ar.json @@ -302,7 +302,8 @@ "local": "محلي", "global": "عالمي", "hybrid": "مختلط", - "mix": "مزيج" + "mix": "مزيج", + "bypass": "تجاوز" }, "responseFormat": "تنسيق الرد", "responseFormatTooltip": "يحدد تنسيق الرد. أمثلة:\n• فقرات متعددة\n• فقرة واحدة\n• نقاط نقطية", diff --git a/lightrag_webui/src/locales/en.json b/lightrag_webui/src/locales/en.json index 13b6e5a5..96e1dd19 100644 --- a/lightrag_webui/src/locales/en.json +++ b/lightrag_webui/src/locales/en.json @@ -301,7 +301,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybrid", - "mix": "Mix" + "mix": "Mix", + "bypass": "Bypass" }, "responseFormat": "Response Format", "responseFormatTooltip": "Defines the response format. Examples:\n• Multiple Paragraphs\n• Single Paragraph\n• Bullet Points", diff --git a/lightrag_webui/src/locales/fr.json b/lightrag_webui/src/locales/fr.json index dbba9480..20012f58 100644 --- a/lightrag_webui/src/locales/fr.json +++ b/lightrag_webui/src/locales/fr.json @@ -302,7 +302,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybride", - "mix": "Mixte" + "mix": "Mixte", + "bypass": "Bypass" }, "responseFormat": "Format de réponse", "responseFormatTooltip": "Définit le format de la réponse. Exemples :\n• Plusieurs paragraphes\n• Paragraphe unique\n• Points à puces", diff --git a/lightrag_webui/src/locales/zh.json b/lightrag_webui/src/locales/zh.json index df4c33c3..c1f58e4b 100644 --- a/lightrag_webui/src/locales/zh.json +++ b/lightrag_webui/src/locales/zh.json @@ -302,7 +302,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybrid", - "mix": "Mix" + "mix": "Mix", + "bypass": "Bypass" }, "responseFormat": "响应格式", "responseFormatTooltip": "定义响应格式。例如：\n• 多段落\n• 单段落\n• 要点", From 5b65ce5cfef97831824d8510ad7897b0a0ee1792 Mon Sep 17 00:00:00 2001 From: choizhang Date: Thu, 10 Apr 2025 23:20:54 +0800 Subject: [PATCH 02/19] docs: Translate annotations --- lightrag/api/routers/ollama_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/routers/ollama_api.py b/lightrag/api/routers/ollama_api.py index 9ece2680..088cd02c 100644 --- a/lightrag/api/routers/ollama_api.py +++ b/lightrag/api/routers/ollama_api.py @@ -308,7 +308,7 @@ class OllamaAPI: "Cache-Control": "no-cache", "Connection": "keep-alive", "Content-Type": "application/x-ndjson", - "X-Accel-Buffering": "no", # 确保在Nginx代理时正确处理流式响应 + "X-Accel-Buffering": "no", # Ensure proper handling of streaming responses in Nginx proxy }, ) else: From a12d60e4ea8dbb647314268ef8fda8095365ae46 Mon Sep 17 00:00:00 2001 From: choizhang Date: Thu, 10 Apr 2025 23:17:33 +0800 Subject: [PATCH 03/19] feat: Add query mode 'bypass' to bypass knowledge retrieval and directly use LLM --- lightrag/api/routers/query_routes.py | 2 +- lightrag/base.py | 2 +- lightrag/lightrag.py | 8 ++++++++ lightrag_webui/src/api/lightrag.ts | 3 ++- lightrag_webui/src/components/retrieval/QuerySettings.tsx | 1 + lightrag_webui/src/locales/ar.json | 3 ++- lightrag_webui/src/locales/en.json | 3 ++- lightrag_webui/src/locales/fr.json | 3 ++- lightrag_webui/src/locales/zh.json | 3 ++- 9 files changed, 21 insertions(+), 7 deletions(-) diff --git a/lightrag/api/routers/query_routes.py b/lightrag/api/routers/query_routes.py index c9648356..81603487 100644 --- a/lightrag/api/routers/query_routes.py +++ b/lightrag/api/routers/query_routes.py @@ -22,7 +22,7 @@ class QueryRequest(BaseModel): description="The query text", ) - mode: Literal["local", "global", "hybrid", "naive", "mix"] = Field( + mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = Field( default="hybrid", description="Query mode", ) diff --git a/lightrag/base.py b/lightrag/base.py index 5cf5ab61..e2b0fd32 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -36,7 +36,7 @@ T = TypeVar("T") class QueryParam: """Configuration parameters for query execution in LightRAG.""" - mode: Literal["local", "global", "hybrid", "naive", "mix"] = "global" + mode: Literal["local", "global", "hybrid", "naive", "mix", "bypass"] = "global" """Specifies the retrieval mode: - "local": Focuses on context-dependent information. - "global": Utilizes global knowledge. diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 0933a4d1..386ea814 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1381,6 +1381,14 @@ class LightRAG: hashing_kv=self.llm_response_cache, # Directly use llm_response_cache system_prompt=system_prompt, ) + elif param.mode == "bypass": + # Bypass mode: directly use LLM without knowledge retrieval + use_llm_func = param.model_func or global_config["llm_model_func"] + response = await use_llm_func( + query.strip(), + system_prompt=system_prompt, + history_messages=param.conversation_history, + ) else: raise ValueError(f"Unknown mode {param.mode}") await self._query_done() diff --git a/lightrag_webui/src/api/lightrag.ts b/lightrag_webui/src/api/lightrag.ts index fbe00d23..d6bae0c0 100644 --- a/lightrag_webui/src/api/lightrag.ts +++ b/lightrag_webui/src/api/lightrag.ts @@ -65,8 +65,9 @@ export type LightragDocumentsScanProgress = { * - "global": Utilizes global knowledge. * - "hybrid": Combines local and global retrieval methods. * - "mix": Integrates knowledge graph and vector retrieval. + * - "bypass": Bypasses knowledge retrieval and directly uses the LLM. */ -export type QueryMode = 'naive' | 'local' | 'global' | 'hybrid' | 'mix' +export type QueryMode = 'naive' | 'local' | 'global' | 'hybrid' | 'mix' | 'bypass' export type Message = { role: 'user' | 'assistant' | 'system' diff --git a/lightrag_webui/src/components/retrieval/QuerySettings.tsx b/lightrag_webui/src/components/retrieval/QuerySettings.tsx index 9fca1782..f5e17cc1 100644 --- a/lightrag_webui/src/components/retrieval/QuerySettings.tsx +++ b/lightrag_webui/src/components/retrieval/QuerySettings.tsx @@ -55,6 +55,7 @@ export default function QuerySettings() { {t('retrievePanel.querySettings.queryModeOptions.global')} {t('retrievePanel.querySettings.queryModeOptions.hybrid')} {t('retrievePanel.querySettings.queryModeOptions.mix')} + {t('retrievePanel.querySettings.queryModeOptions.bypass')} diff --git a/lightrag_webui/src/locales/ar.json b/lightrag_webui/src/locales/ar.json index 36f31e92..42d9d527 100644 --- a/lightrag_webui/src/locales/ar.json +++ b/lightrag_webui/src/locales/ar.json @@ -302,7 +302,8 @@ "local": "محلي", "global": "عالمي", "hybrid": "مختلط", - "mix": "مزيج" + "mix": "مزيج", + "bypass": "تجاوز" }, "responseFormat": "تنسيق الرد", "responseFormatTooltip": "يحدد تنسيق الرد. أمثلة:\n• فقرات متعددة\n• فقرة واحدة\n• نقاط نقطية", diff --git a/lightrag_webui/src/locales/en.json b/lightrag_webui/src/locales/en.json index 13b6e5a5..96e1dd19 100644 --- a/lightrag_webui/src/locales/en.json +++ b/lightrag_webui/src/locales/en.json @@ -301,7 +301,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybrid", - "mix": "Mix" + "mix": "Mix", + "bypass": "Bypass" }, "responseFormat": "Response Format", "responseFormatTooltip": "Defines the response format. Examples:\n• Multiple Paragraphs\n• Single Paragraph\n• Bullet Points", diff --git a/lightrag_webui/src/locales/fr.json b/lightrag_webui/src/locales/fr.json index dbba9480..20012f58 100644 --- a/lightrag_webui/src/locales/fr.json +++ b/lightrag_webui/src/locales/fr.json @@ -302,7 +302,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybride", - "mix": "Mixte" + "mix": "Mixte", + "bypass": "Bypass" }, "responseFormat": "Format de réponse", "responseFormatTooltip": "Définit le format de la réponse. Exemples :\n• Plusieurs paragraphes\n• Paragraphe unique\n• Points à puces", diff --git a/lightrag_webui/src/locales/zh.json b/lightrag_webui/src/locales/zh.json index df4c33c3..c1f58e4b 100644 --- a/lightrag_webui/src/locales/zh.json +++ b/lightrag_webui/src/locales/zh.json @@ -302,7 +302,8 @@ "local": "Local", "global": "Global", "hybrid": "Hybrid", - "mix": "Mix" + "mix": "Mix", + "bypass": "Bypass" }, "responseFormat": "响应格式", "responseFormatTooltip": "定义响应格式。例如：\n• 多段落\n• 单段落\n• 要点", From 0944df2679227485137e0dc7dc6a8d325147cffa Mon Sep 17 00:00:00 2001 From: choizhang Date: Thu, 10 Apr 2025 23:20:54 +0800 Subject: [PATCH 04/19] docs: Translate annotations --- lightrag/api/routers/ollama_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/routers/ollama_api.py b/lightrag/api/routers/ollama_api.py index 9ece2680..088cd02c 100644 --- a/lightrag/api/routers/ollama_api.py +++ b/lightrag/api/routers/ollama_api.py @@ -308,7 +308,7 @@ class OllamaAPI: "Cache-Control": "no-cache", "Connection": "keep-alive", "Content-Type": "application/x-ndjson", - "X-Accel-Buffering": "no", # 确保在Nginx代理时正确处理流式响应 + "X-Accel-Buffering": "no", # Ensure proper handling of streaming responses in Nginx proxy }, ) else: From 135a40d696c998344df37faf2cbf7149cc8f0c24 Mon Sep 17 00:00:00 2001 From: cuikunyu Date: Fri, 11 Apr 2025 03:10:20 +0000 Subject: [PATCH 05/19] Optimize: Use python-docx for better parsing. --- lightrag/api/routers/document_routes.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/lightrag/api/routers/document_routes.py b/lightrag/api/routers/document_routes.py index 8e664006..0111e237 100644 --- a/lightrag/api/routers/document_routes.py +++ b/lightrag/api/routers/document_routes.py @@ -499,7 +499,10 @@ async def pipeline_enqueue_file(rag: LightRAG, file_path: Path) -> bool: content = result.document.export_to_markdown() else: if not pm.is_installed("python-docx"): # type: ignore - pm.install("docx") + try: + pm.install("python-docx") + except Exception: + pm.install("docx") from docx import Document # type: ignore from io import BytesIO From f35012572c883603262b040d1f1bafc99418c1df Mon Sep 17 00:00:00 2001 From: choizhang Date: Fri, 11 Apr 2025 11:12:01 +0800 Subject: [PATCH 06/19] docs(locales): Update multilingual files to include descriptions of bypass mode --- lightrag/lightrag.py | 2 ++ lightrag_webui/src/locales/ar.json | 2 +- lightrag_webui/src/locales/en.json | 2 +- lightrag_webui/src/locales/fr.json | 2 +- lightrag_webui/src/locales/zh.json | 2 +- 5 files changed, 6 insertions(+), 4 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 386ea814..5647799b 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1384,10 +1384,12 @@ class LightRAG: elif param.mode == "bypass": # Bypass mode: directly use LLM without knowledge retrieval use_llm_func = param.model_func or global_config["llm_model_func"] + param.stream = True if param.stream is None else param.stream response = await use_llm_func( query.strip(), system_prompt=system_prompt, history_messages=param.conversation_history, + stream=param.stream, ) else: raise ValueError(f"Unknown mode {param.mode}") diff --git a/lightrag_webui/src/locales/ar.json b/lightrag_webui/src/locales/ar.json index 42d9d527..641315ee 100644 --- a/lightrag_webui/src/locales/ar.json +++ b/lightrag_webui/src/locales/ar.json @@ -296,7 +296,7 @@ "parametersTitle": "المعلمات", "parametersDescription": "تكوين معلمات الاستعلام الخاص بك", "queryMode": "وضع الاستعلام", - "queryModeTooltip": "حدد استراتيجية الاسترجاع:\n• ساذج: بحث أساسي بدون تقنيات متقدمة\n• محلي: استرجاع معلومات يعتمد على السياق\n• عالمي: يستخدم قاعدة المعرفة العالمية\n• مختلط: يجمع بين الاسترجاع المحلي والعالمي\n• مزيج: يدمج شبكة المعرفة مع الاسترجاع المتجهي", + "queryModeTooltip": "حدد استراتيجية الاسترجاع:\n• ساذج: بحث أساسي بدون تقنيات متقدمة\n• محلي: استرجاع معلومات يعتمد على السياق\n• عالمي: يستخدم قاعدة المعرفة العالمية\n• مختلط: يجمع بين الاسترجاع المحلي والعالمي\n• مزيج: يدمج شبكة المعرفة مع الاسترجاع المتجهي\n• تجاوز: يمرر الاستعلام مباشرة إلى LLM بدون استرجاع", "queryModeOptions": { "naive": "ساذج", "local": "محلي", diff --git a/lightrag_webui/src/locales/en.json b/lightrag_webui/src/locales/en.json index 96e1dd19..ff20528d 100644 --- a/lightrag_webui/src/locales/en.json +++ b/lightrag_webui/src/locales/en.json @@ -295,7 +295,7 @@ "parametersTitle": "Parameters", "parametersDescription": "Configure your query parameters", "queryMode": "Query Mode", - "queryModeTooltip": "Select the retrieval strategy:\n• Naive: Basic search without advanced techniques\n• Local: Context-dependent information retrieval\n• Global: Utilizes global knowledge base\n• Hybrid: Combines local and global retrieval\n• Mix: Integrates knowledge graph with vector retrieval", + "queryModeTooltip": "Select the retrieval strategy:\n• Naive: Basic search without advanced techniques\n• Local: Context-dependent information retrieval\n• Global: Utilizes global knowledge base\n• Hybrid: Combines local and global retrieval\n• Mix: Integrates knowledge graph with vector retrieval\n• Bypass: Passes query directly to LLM without retrieval", "queryModeOptions": { "naive": "Naive", "local": "Local", diff --git a/lightrag_webui/src/locales/fr.json b/lightrag_webui/src/locales/fr.json index 20012f58..e35f744a 100644 --- a/lightrag_webui/src/locales/fr.json +++ b/lightrag_webui/src/locales/fr.json @@ -296,7 +296,7 @@ "parametersTitle": "Paramètres", "parametersDescription": "Configurez vos paramètres de requête", "queryMode": "Mode de requête", - "queryModeTooltip": "Sélectionnez la stratégie de récupération :\n• Naïf : Recherche de base sans techniques avancées\n• Local : Récupération d'informations dépendante du contexte\n• Global : Utilise une base de connaissances globale\n• Hybride : Combine récupération locale et globale\n• Mixte : Intègre le graphe de connaissances avec la récupération vectorielle", + "queryModeTooltip": "Sélectionnez la stratégie de récupération :\n• Naïf : Recherche de base sans techniques avancées\n• Local : Récupération d'informations dépendante du contexte\n• Global : Utilise une base de connaissances globale\n• Hybride : Combine récupération locale et globale\n• Mixte : Intègre le graphe de connaissances avec la récupération vectorielle\n• Bypass : Transmet directement la requête au LLM sans récupération", "queryModeOptions": { "naive": "Naïf", "local": "Local", diff --git a/lightrag_webui/src/locales/zh.json b/lightrag_webui/src/locales/zh.json index c1f58e4b..60e2b7c8 100644 --- a/lightrag_webui/src/locales/zh.json +++ b/lightrag_webui/src/locales/zh.json @@ -296,7 +296,7 @@ "parametersTitle": "参数", "parametersDescription": "配置查询参数", "queryMode": "查询模式", - "queryModeTooltip": "选择检索策略：\n• Naive：基础搜索，无高级技术\n• Local：上下文相关信息检索\n• Global：利用全局知识库\n• Hybrid：结合本地和全局检索\n• Mix：整合知识图谱和向量检索", + "queryModeTooltip": "选择检索策略：\n• Naive：基础搜索，无高级技术\n• Local：上下文相关信息检索\n• Global：利用全局知识库\n• Hybrid：结合本地和全局检索\n• Mix：整合知识图谱和向量检索\n• Bypass：直接传递查询到LLM，不进行检索", "queryModeOptions": { "naive": "Naive", "local": "Local", From eb3038e55ad4ec7ba5914afba9f3ba80097905ed Mon Sep 17 00:00:00 2001 From: choizhang Date: Fri, 11 Apr 2025 11:12:01 +0800 Subject: [PATCH 07/19] docs(locales): Update multilingual files to include descriptions of bypass mode --- lightrag/lightrag.py | 2 ++ lightrag_webui/src/locales/ar.json | 2 +- lightrag_webui/src/locales/en.json | 2 +- lightrag_webui/src/locales/fr.json | 2 +- lightrag_webui/src/locales/zh.json | 2 +- 5 files changed, 6 insertions(+), 4 deletions(-) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 386ea814..5647799b 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -1384,10 +1384,12 @@ class LightRAG: elif param.mode == "bypass": # Bypass mode: directly use LLM without knowledge retrieval use_llm_func = param.model_func or global_config["llm_model_func"] + param.stream = True if param.stream is None else param.stream response = await use_llm_func( query.strip(), system_prompt=system_prompt, history_messages=param.conversation_history, + stream=param.stream, ) else: raise ValueError(f"Unknown mode {param.mode}") diff --git a/lightrag_webui/src/locales/ar.json b/lightrag_webui/src/locales/ar.json index 42d9d527..641315ee 100644 --- a/lightrag_webui/src/locales/ar.json +++ b/lightrag_webui/src/locales/ar.json @@ -296,7 +296,7 @@ "parametersTitle": "المعلمات", "parametersDescription": "تكوين معلمات الاستعلام الخاص بك", "queryMode": "وضع الاستعلام", - "queryModeTooltip": "حدد استراتيجية الاسترجاع:\n• ساذج: بحث أساسي بدون تقنيات متقدمة\n• محلي: استرجاع معلومات يعتمد على السياق\n• عالمي: يستخدم قاعدة المعرفة العالمية\n• مختلط: يجمع بين الاسترجاع المحلي والعالمي\n• مزيج: يدمج شبكة المعرفة مع الاسترجاع المتجهي", + "queryModeTooltip": "حدد استراتيجية الاسترجاع:\n• ساذج: بحث أساسي بدون تقنيات متقدمة\n• محلي: استرجاع معلومات يعتمد على السياق\n• عالمي: يستخدم قاعدة المعرفة العالمية\n• مختلط: يجمع بين الاسترجاع المحلي والعالمي\n• مزيج: يدمج شبكة المعرفة مع الاسترجاع المتجهي\n• تجاوز: يمرر الاستعلام مباشرة إلى LLM بدون استرجاع", "queryModeOptions": { "naive": "ساذج", "local": "محلي", diff --git a/lightrag_webui/src/locales/en.json b/lightrag_webui/src/locales/en.json index 96e1dd19..ff20528d 100644 --- a/lightrag_webui/src/locales/en.json +++ b/lightrag_webui/src/locales/en.json @@ -295,7 +295,7 @@ "parametersTitle": "Parameters", "parametersDescription": "Configure your query parameters", "queryMode": "Query Mode", - "queryModeTooltip": "Select the retrieval strategy:\n• Naive: Basic search without advanced techniques\n• Local: Context-dependent information retrieval\n• Global: Utilizes global knowledge base\n• Hybrid: Combines local and global retrieval\n• Mix: Integrates knowledge graph with vector retrieval", + "queryModeTooltip": "Select the retrieval strategy:\n• Naive: Basic search without advanced techniques\n• Local: Context-dependent information retrieval\n• Global: Utilizes global knowledge base\n• Hybrid: Combines local and global retrieval\n• Mix: Integrates knowledge graph with vector retrieval\n• Bypass: Passes query directly to LLM without retrieval", "queryModeOptions": { "naive": "Naive", "local": "Local", diff --git a/lightrag_webui/src/locales/fr.json b/lightrag_webui/src/locales/fr.json index 20012f58..e35f744a 100644 --- a/lightrag_webui/src/locales/fr.json +++ b/lightrag_webui/src/locales/fr.json @@ -296,7 +296,7 @@ "parametersTitle": "Paramètres", "parametersDescription": "Configurez vos paramètres de requête", "queryMode": "Mode de requête", - "queryModeTooltip": "Sélectionnez la stratégie de récupération :\n• Naïf : Recherche de base sans techniques avancées\n• Local : Récupération d'informations dépendante du contexte\n• Global : Utilise une base de connaissances globale\n• Hybride : Combine récupération locale et globale\n• Mixte : Intègre le graphe de connaissances avec la récupération vectorielle", + "queryModeTooltip": "Sélectionnez la stratégie de récupération :\n• Naïf : Recherche de base sans techniques avancées\n• Local : Récupération d'informations dépendante du contexte\n• Global : Utilise une base de connaissances globale\n• Hybride : Combine récupération locale et globale\n• Mixte : Intègre le graphe de connaissances avec la récupération vectorielle\n• Bypass : Transmet directement la requête au LLM sans récupération", "queryModeOptions": { "naive": "Naïf", "local": "Local", diff --git a/lightrag_webui/src/locales/zh.json b/lightrag_webui/src/locales/zh.json index c1f58e4b..60e2b7c8 100644 --- a/lightrag_webui/src/locales/zh.json +++ b/lightrag_webui/src/locales/zh.json @@ -296,7 +296,7 @@ "parametersTitle": "参数", "parametersDescription": "配置查询参数", "queryMode": "查询模式", - "queryModeTooltip": "选择检索策略：\n• Naive：基础搜索，无高级技术\n• Local：上下文相关信息检索\n• Global：利用全局知识库\n• Hybrid：结合本地和全局检索\n• Mix：整合知识图谱和向量检索", + "queryModeTooltip": "选择检索策略：\n• Naive：基础搜索，无高级技术\n• Local：上下文相关信息检索\n• Global：利用全局知识库\n• Hybrid：结合本地和全局检索\n• Mix：整合知识图谱和向量检索\n• Bypass：直接传递查询到LLM，不进行检索", "queryModeOptions": { "naive": "Naive", "local": "Local", From 3ee183b0aabf4b7da1fe227c23a48ab954b3e3b7 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 11 Apr 2025 15:12:06 +0800 Subject: [PATCH 08/19] Update webui assets --- .../{index-DSVCuARS.js => index-CkwV8nfm.js} | 30 +++++++++++-------- lightrag/api/webui/index.html | 2 +- 2 files changed, 18 insertions(+), 14 deletions(-) rename lightrag/api/webui/assets/{index-DSVCuARS.js => index-CkwV8nfm.js} (98%) diff --git a/lightrag/api/webui/assets/index-DSVCuARS.js b/lightrag/api/webui/assets/index-CkwV8nfm.js similarity index 98% rename from lightrag/api/webui/assets/index-DSVCuARS.js rename to lightrag/api/webui/assets/index-CkwV8nfm.js index 12a9f30c..a3d82a72 100644 --- a/lightrag/api/webui/assets/index-DSVCuARS.js +++ b/lightrag/api/webui/assets/index-CkwV8nfm.js @@ -22,7 +22,7 @@ var sq=Object.defineProperty;var lq=(e,t,n)=>t in e?sq(e,t,{enumerable:!0,config * * 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m4(e,t){this.key=e,this.attributes=t,this.clear()}m4.prototype.clear=function(){this.undirectedDegree=0,this.undirectedLoops=0,this.undirected={}};function Zs(e,t,n,r,a){this.key=t,this.attributes=a,this.undirected=e,this.source=n,this.target=r}Zs.prototype.attach=function(){let e="out",t="in";this.undirected&&(e=t="undirected");const n=this.source.key,r=this.target.key;this.source[e][r]=this,!(this.undirected&&n===r)&&(this.target[t][n]=this)};Zs.prototype.attachMulti=function(){let e="out",t="in";const n=this.source.key,r=this.target.key;this.undirected&&(e=t="undirected");const a=this.source[e],o=a[r];if(typeof o>"u"){a[r]=this,this.undirected&&n===r||(this.target[t][n]=this);return}o.previous=this,this.next=o,a[r]=this,this.target[t][n]=this};Zs.prototype.detach=function(){const e=this.source.key,t=this.target.key;let n="out",r="in";this.undirected&&(n=r="undirected"),delete this.source[n][t],delete this.target[r][e]};Zs.prototype.detachMulti=function(){const e=this.source.key,t=this.target.key;let n="out",r="in";this.undirected&&(n=r="undirected"),this.previous===void 0?this.next===void 0?(delete this.source[n][t],delete this.target[r][e]):(this.next.previous=void 0,this.source[n][t]=this.next,this.target[r][e]=this.next):(this.previous.next=this.next,this.next!==void 0&&(this.next.previous=this.previous))};const b4=0,y4=1,wJ=2,v4=3;function qa(e,t,n,r,a,o,s){let l,u,d,p;if(r=""+r,n===b4){if(l=e._nodes.get(r),!l)throw new Le(`Graph.${t}: could not find the "${r}" node in the graph.`);d=a,p=o}else if(n===v4){if(a=""+a,u=e._edges.get(a),!u)throw new Le(`Graph.${t}: could not find the "${a}" edge in the graph.`);const g=u.source.key,m=u.target.key;if(r===g)l=u.target;else if(r===m)l=u.source;else throw new Le(`Graph.${t}: the "${r}" node is not attached to the "${a}" edge (${g}, ${m}).`);d=o,p=s}else{if(u=e._edges.get(r),!u)throw new Le(`Graph.${t}: could not find the "${r}" edge in the 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IJ=[{name:e=>`get${e}Attribute`,attacher:xJ},{name:e=>`get${e}Attributes`,attacher:kJ},{name:e=>`has${e}Attribute`,attacher:TJ},{name:e=>`set${e}Attribute`,attacher:AJ},{name:e=>`update${e}Attribute`,attacher:RJ},{name:e=>`remove${e}Attribute`,attacher:CJ},{name:e=>`replace${e}Attributes`,attacher:_J},{name:e=>`merge${e}Attributes`,attacher:NJ},{name:e=>`update${e}Attributes`,attacher:OJ}];function DJ(e){IJ.forEach(function({name:t,attacher:n}){n(e,t("Node"),b4),n(e,t("Source"),y4),n(e,t("Target"),wJ),n(e,t("Opposite"),v4)})}function LJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return o.attributes[a]}}function MJ(e,t,n){e.prototype[t]=function(r){let a;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>1){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const o=""+r,s=""+arguments[1];if(a=kr(this,o,s,n),!a)throw new Le(`Graph.${t}: could not find an edge for the given path ("${o}" - "${s}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling 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this},next(){let o,s;for(;;){if(o=a.next(),o.done)return o;if(s=o.value,!(n&&s.undirected!==r))break}return{value:{edge:s.key,attributes:s.attributes,source:s.source.key,target:s.target.key,sourceAttributes:s.source.attributes,targetAttributes:s.target.attributes,undirected:s.undirected},done:!1}}}}function RT(e,t,n,r,a,o){const s=t?WJ:VJ;let l;if(n!=="undirected"&&(r!=="out"&&(l=s(e,a.in,o),e&&l)||r!=="in"&&(l=s(e,a.out,o,r?void 0:a.key),e&&l))||n!=="directed"&&(l=s(e,a.undirected,o),e&&l))return l}function QJ(e,t,n,r){const a=[];return RT(!1,e,t,n,r,function(o){a.push(o)}),a}function JJ(e,t,n){let r=Xs();return e!=="undirected"&&(t!=="out"&&typeof n.in<"u"&&(r=za(r,ym(n.in))),t!=="in"&&typeof n.out<"u"&&(r=za(r,ym(n.out,t?void 0:n.key)))),e!=="directed"&&typeof n.undirected<"u"&&(r=za(r,ym(n.undirected))),r}function CT(e,t,n,r,a,o,s){const l=n?KJ:YJ;let u;if(t!=="undirected"&&(typeof a.in<"u"&&r!=="out"&&(u=l(e,a.in,o,s),e&&u)||typeof 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CT(!1,r,this.multi,a,m,p,g)}throw new Pe(`Graph.${o}: too many arguments (expecting 1, 2 or 3 and got ${arguments.length}).`)}};const s="map"+n[0].toUpperCase()+n.slice(1);e.prototype[s]=function(){const d=Array.prototype.slice.call(arguments),p=d.pop();let g;if(d.length===0){let m=0;r!=="directed"&&(m+=this.undirectedSize),r!=="undirected"&&(m+=this.directedSize),g=new Array(m);let b=0;d.push((y,v,x,T,k,R,O)=>{g[b++]=p(y,v,x,T,k,R,O)})}else g=[],d.push((m,b,y,v,x,T,k)=>{g.push(p(m,b,y,v,x,T,k))});return this[o].apply(this,d),g};const l="filter"+n[0].toUpperCase()+n.slice(1);e.prototype[l]=function(){const d=Array.prototype.slice.call(arguments),p=d.pop(),g=[];return d.push((m,b,y,v,x,T,k)=>{p(m,b,y,v,x,T,k)&&g.push(m)}),this[o].apply(this,d),g};const u="reduce"+n[0].toUpperCase()+n.slice(1);e.prototype[u]=function(){let d=Array.prototype.slice.call(arguments);if(d.length<2||d.length>4)throw new Pe(`Graph.${u}: invalid number of arguments (expecting 2, 3 or 4 and got 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graph.`);if(!this._nodes.has(d))throw new Le(`Graph.${o}: could not find the "${d}" target node in the graph.`);return CT(!0,r,this.multi,a,g,d,p)}throw new Pe(`Graph.${o}: too many arguments (expecting 1, 2 or 3 and got ${arguments.length}).`)};const s="some"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[s]=function(){const u=Array.prototype.slice.call(arguments),d=u.pop();return u.push((g,m,b,y,v,x,T)=>d(g,m,b,y,v,x,T)),!!this[o].apply(this,u)};const l="every"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[l]=function(){const u=Array.prototype.slice.call(arguments),d=u.pop();return u.push((g,m,b,y,v,x,T)=>!d(g,m,b,y,v,x,T)),!this[o].apply(this,u)}}function oee(e,t){const{name:n,type:r,direction:a}=t,o=n.slice(0,-1)+"Entries";e.prototype[o]=function(s,l){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return Xs();if(!arguments.length)return ZJ(this,r);if(arguments.length===1){s=""+s;const u=this._nodes.get(s);if(!u)throw new Le(`Graph.${o}: could not find the "${s}" node in the 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this.A||this.B!==null&&e in this.B};function nc(e,t,n,r,a){for(const o in r){const s=r[o],l=s.source,u=s.target,d=l===n?u:l;if(t&&t.has(d.key))continue;const p=a(d.key,d.attributes);if(e&&p)return d.key}}function _T(e,t,n,r,a){if(t!=="mixed"){if(t==="undirected")return nc(e,null,r,r.undirected,a);if(typeof n=="string")return nc(e,null,r,r[n],a)}const o=new xp;let s;if(t!=="undirected"){if(n!=="out"){if(s=nc(e,null,r,r.in,a),e&&s)return s;o.wrap(r.in)}if(n!=="in"){if(s=nc(e,o,r,r.out,a),e&&s)return s;o.wrap(r.out)}}if(t!=="directed"&&(s=nc(e,o,r,r.undirected,a),e&&s))return s}function lee(e,t,n){if(e!=="mixed"){if(e==="undirected")return Object.keys(n.undirected);if(typeof t=="string")return Object.keys(n[t])}const r=[];return _T(!1,e,t,n,function(a){r.push(a)}),r}function rc(e,t,n){const r=Object.keys(n),a=r.length;let o=0;return{[Symbol.iterator](){return this},next(){let s=null;do{if(o>=a)return e&&e.wrap(n),{done:!0};const l=n[r[o++]],u=l.source,d=l.target;if(s=u===t?d:u,e&&e.has(s.key)){s=null;continue}}while(s===null);return{done:!1,value:{neighbor:s.key,attributes:s.attributes}}}}}function cee(e,t,n){if(e!=="mixed"){if(e==="undirected")return rc(null,n,n.undirected);if(typeof t=="string")return rc(null,n,n[t])}let r=Xs();const a=new xp;return e!=="undirected"&&(t!=="out"&&(r=za(r,rc(a,n,n.in))),t!=="in"&&(r=za(r,rc(a,n,n.out)))),e!=="directed"&&(r=za(r,rc(a,n,n.undirected))),r}function uee(e,t){const{name:n,type:r,direction:a}=t;e.prototype[n]=function(o){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return[];o=""+o;const s=this._nodes.get(o);if(typeof s>"u")throw new Le(`Graph.${n}: could not find the "${o}" node in the graph.`);return lee(r==="mixed"?this.type:r,a,s)}}function dee(e,t){const{name:n,type:r,direction:a}=t,o="forEach"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[o]=function(d,p){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return;d=""+d;const g=this._nodes.get(d);if(typeof g>"u")throw new Le(`Graph.${o}: could not find the "${d}" node in the graph.`);_T(!1,r==="mixed"?this.type:r,a,g,p)};const s="map"+n[0].toUpperCase()+n.slice(1);e.prototype[s]=function(d,p){const g=[];return this[o](d,(m,b)=>{g.push(p(m,b))}),g};const l="filter"+n[0].toUpperCase()+n.slice(1);e.prototype[l]=function(d,p){const g=[];return this[o](d,(m,b)=>{p(m,b)&&g.push(m)}),g};const u="reduce"+n[0].toUpperCase()+n.slice(1);e.prototype[u]=function(d,p,g){if(arguments.length<3)throw new Pe(`Graph.${u}: missing initial value. You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.`);let m=g;return this[o](d,(b,y)=>{m=p(m,b,y)}),m}}function fee(e,t){const{name:n,type:r,direction:a}=t,o=n[0].toUpperCase()+n.slice(1,-1),s="find"+o;e.prototype[s]=function(d,p){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return;d=""+d;const g=this._nodes.get(d);if(typeof g>"u")throw new Le(`Graph.${s}: could not find the "${d}" node in the graph.`);return _T(!0,r==="mixed"?this.type:r,a,g,p)};const l="some"+o;e.prototype[l]=function(d,p){return!!this[s](d,p)};const u="every"+o;e.prototype[u]=function(d,p){return!this[s](d,(m,b)=>!p(m,b))}}function pee(e,t){const{name:n,type:r,direction:a}=t,o=n.slice(0,-1)+"Entries";e.prototype[o]=function(s){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return Xs();s=""+s;const l=this._nodes.get(s);if(typeof l>"u")throw new Le(`Graph.${o}: could not find the "${s}" node in the graph.`);return cee(r==="mixed"?this.type:r,a,l)}}function gee(e){see.forEach(t=>{uee(e,t),dee(e,t),fee(e,t),pee(e,t)})}function Cd(e,t,n,r,a){const o=r._nodes.values(),s=r.type;let l,u,d,p,g,m;for(;l=o.next(),l.done!==!0;){let b=!1;if(u=l.value,s!=="undirected"){p=u.out;for(d in p){g=p[d];do m=g.target,b=!0,a(u.key,m.key,u.attributes,m.attributes,g.key,g.attributes,g.undirected),g=g.next;while(g)}}if(s!=="directed"){p=u.undirected;for(d in p)if(!(t&&u.key>d)){g=p[d];do m=g.target,m.key!==d&&(m=g.source),b=!0,a(u.key,m.key,u.attributes,m.attributes,g.key,g.attributes,g.undirected),g=g.next;while(g)}}n&&!b&&a(u.key,null,u.attributes,null,null,null,null)}}function hee(e,t){const n={key:e};return p4(t.attributes)||(n.attributes=nn({},t.attributes)),n}function mee(e,t,n){const r={key:t,source:n.source.key,target:n.target.key};return p4(n.attributes)||(r.attributes=nn({},n.attributes)),e==="mixed"&&n.undirected&&(r.undirected=!0),r}function bee(e){if(!vn(e))throw new Pe('Graph.import: invalid serialized node. A serialized node should be a plain object with at least a "key" property.');if(!("key"in e))throw new Pe("Graph.import: serialized node is missing its key.");if("attributes"in e&&(!vn(e.attributes)||e.attributes===null))throw new Pe("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.")}function yee(e){if(!vn(e))throw new Pe('Graph.import: invalid serialized edge. A serialized edge should be a plain object with at least a "source" & "target" property.');if(!("source"in e))throw new Pe("Graph.import: serialized edge is missing its source.");if(!("target"in e))throw new Pe("Graph.import: serialized edge is missing its target.");if("attributes"in e&&(!vn(e.attributes)||e.attributes===null))throw new Pe("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.");if("undirected"in e&&typeof e.undirected!="boolean")throw new Pe("Graph.import: invalid undirectedness information. Undirected should be boolean or omitted.")}const vee=EJ(),See=new Set(["directed","undirected","mixed"]),mN=new Set(["domain","_events","_eventsCount","_maxListeners"]),Eee=[{name:e=>`${e}Edge`,generateKey:!0},{name:e=>`${e}DirectedEdge`,generateKey:!0,type:"directed"},{name:e=>`${e}UndirectedEdge`,generateKey:!0,type:"undirected"},{name:e=>`${e}EdgeWithKey`},{name:e=>`${e}DirectedEdgeWithKey`,type:"directed"},{name:e=>`${e}UndirectedEdgeWithKey`,type:"undirected"}],wee={allowSelfLoops:!0,multi:!1,type:"mixed"};function xee(e,t,n){if(n&&!vn(n))throw new Pe(`Graph.addNode: invalid attributes. Expecting an object but got "${n}"`);if(t=""+t,n=n||{},e._nodes.has(t))throw new Ze(`Graph.addNode: the "${t}" node already exist in the graph.`);const r=new e.NodeDataClass(t,n);return e._nodes.set(t,r),e.emit("nodeAdded",{key:t,attributes:n}),r}function bN(e,t,n){const r=new e.NodeDataClass(t,n);return e._nodes.set(t,r),e.emit("nodeAdded",{key:t,attributes:n}),r}function E4(e,t,n,r,a,o,s,l){if(!r&&e.type==="undirected")throw new Ze(`Graph.${t}: you cannot add a directed edge to an undirected graph. Use the #.addEdge or #.addUndirectedEdge instead.`);if(r&&e.type==="directed")throw new Ze(`Graph.${t}: you cannot add an undirected edge to a directed graph. Use the #.addEdge or #.addDirectedEdge instead.`);if(l&&!vn(l))throw new Pe(`Graph.${t}: invalid attributes. Expecting an object but got "${l}"`);if(o=""+o,s=""+s,l=l||{},!e.allowSelfLoops&&o===s)throw new Ze(`Graph.${t}: source & target are the same ("${o}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);const u=e._nodes.get(o),d=e._nodes.get(s);if(!u)throw new Le(`Graph.${t}: source node "${o}" not found.`);if(!d)throw new Le(`Graph.${t}: target node "${s}" not found.`);const p={key:null,undirected:r,source:o,target:s,attributes:l};if(n)a=e._edgeKeyGenerator();else if(a=""+a,e._edges.has(a))throw new Ze(`Graph.${t}: the "${a}" edge already exists in the graph.`);if(!e.multi&&(r?typeof u.undirected[s]<"u":typeof u.out[s]<"u"))throw new Ze(`Graph.${t}: an edge linking "${o}" to "${s}" already exists. If you really want to add multiple edges linking those nodes, you should create a multi graph by using the 'multi' option.`);const g=new Zs(r,a,u,d,l);e._edges.set(a,g);const m=o===s;return r?(u.undirectedDegree++,d.undirectedDegree++,m&&(u.undirectedLoops++,e._undirectedSelfLoopCount++)):(u.outDegree++,d.inDegree++,m&&(u.directedLoops++,e._directedSelfLoopCount++)),e.multi?g.attachMulti():g.attach(),r?e._undirectedSize++:e._directedSize++,p.key=a,e.emit("edgeAdded",p),a}function kee(e,t,n,r,a,o,s,l,u){if(!r&&e.type==="undirected")throw new Ze(`Graph.${t}: you cannot merge/update a directed edge to an undirected graph. Use the #.mergeEdge/#.updateEdge or #.addUndirectedEdge instead.`);if(r&&e.type==="directed")throw new Ze(`Graph.${t}: you cannot merge/update an undirected edge to a directed graph. Use the #.mergeEdge/#.updateEdge or #.addDirectedEdge instead.`);if(l){if(u){if(typeof l!="function")throw new Pe(`Graph.${t}: invalid updater function. Expecting a function but got "${l}"`)}else if(!vn(l))throw new Pe(`Graph.${t}: invalid attributes. Expecting an object but got "${l}"`)}o=""+o,s=""+s;let d;if(u&&(d=l,l=void 0),!e.allowSelfLoops&&o===s)throw new Ze(`Graph.${t}: source & target are the same ("${o}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);let p=e._nodes.get(o),g=e._nodes.get(s),m,b;if(!n&&(m=e._edges.get(a),m)){if((m.source.key!==o||m.target.key!==s)&&(!r||m.source.key!==s||m.target.key!==o))throw new Ze(`Graph.${t}: inconsistency detected when attempting to merge the "${a}" edge with "${o}" source & "${s}" target vs. ("${m.source.key}", "${m.target.key}").`);b=m}if(!b&&!e.multi&&p&&(b=r?p.undirected[s]:p.out[s]),b){const k=[b.key,!1,!1,!1];if(u?!d:!l)return k;if(u){const R=b.attributes;b.attributes=d(R),e.emit("edgeAttributesUpdated",{type:"replace",key:b.key,attributes:b.attributes})}else nn(b.attributes,l),e.emit("edgeAttributesUpdated",{type:"merge",key:b.key,attributes:b.attributes,data:l});return k}l=l||{},u&&d&&(l=d(l));const y={key:null,undirected:r,source:o,target:s,attributes:l};if(n)a=e._edgeKeyGenerator();else if(a=""+a,e._edges.has(a))throw new Ze(`Graph.${t}: the "${a}" edge already exists in the graph.`);let v=!1,x=!1;p||(p=bN(e,o,{}),v=!0,o===s&&(g=p,x=!0)),g||(g=bN(e,s,{}),x=!0),m=new Zs(r,a,p,g,l),e._edges.set(a,m);const T=o===s;return r?(p.undirectedDegree++,g.undirectedDegree++,T&&(p.undirectedLoops++,e._undirectedSelfLoopCount++)):(p.outDegree++,g.inDegree++,T&&(p.directedLoops++,e._directedSelfLoopCount++)),e.multi?m.attachMulti():m.attach(),r?e._undirectedSize++:e._directedSize++,y.key=a,e.emit("edgeAdded",y),[a,!0,v,x]}function gs(e,t){e._edges.delete(t.key);const{source:n,target:r,attributes:a}=t,o=t.undirected,s=n===r;o?(n.undirectedDegree--,r.undirectedDegree--,s&&(n.undirectedLoops--,e._undirectedSelfLoopCount--)):(n.outDegree--,r.inDegree--,s&&(n.directedLoops--,e._directedSelfLoopCount--)),e.multi?t.detachMulti():t.detach(),o?e._undirectedSize--:e._directedSize--,e.emit("edgeDropped",{key:t.key,attributes:a,source:n.key,target:r.key,undirected:o})}class _t extends f4.EventEmitter{constructor(t){if(super(),t=nn({},wee,t),typeof t.multi!="boolean")throw new Pe(`Graph.constructor: invalid 'multi' option. Expecting a boolean but got "${t.multi}".`);if(!See.has(t.type))throw new Pe(`Graph.constructor: invalid 'type' option. Should be one of "mixed", "directed" or "undirected" but got "${t.type}".`);if(typeof t.allowSelfLoops!="boolean")throw new Pe(`Graph.constructor: invalid 'allowSelfLoops' option. Expecting a boolean but got "${t.allowSelfLoops}".`);const n=t.type==="mixed"?g4:t.type==="directed"?h4:m4;Sr(this,"NodeDataClass",n);const r="geid_"+vee()+"_";let a=0;const o=()=>{let s;do s=r+a++;while(this._edges.has(s));return s};Sr(this,"_attributes",{}),Sr(this,"_nodes",new Map),Sr(this,"_edges",new Map),Sr(this,"_directedSize",0),Sr(this,"_undirectedSize",0),Sr(this,"_directedSelfLoopCount",0),Sr(this,"_undirectedSelfLoopCount",0),Sr(this,"_edgeKeyGenerator",o),Sr(this,"_options",t),mN.forEach(s=>Sr(this,s,this[s])),Mr(this,"order",()=>this._nodes.size),Mr(this,"size",()=>this._edges.size),Mr(this,"directedSize",()=>this._directedSize),Mr(this,"undirectedSize",()=>this._undirectedSize),Mr(this,"selfLoopCount",()=>this._directedSelfLoopCount+this._undirectedSelfLoopCount),Mr(this,"directedSelfLoopCount",()=>this._directedSelfLoopCount),Mr(this,"undirectedSelfLoopCount",()=>this._undirectedSelfLoopCount),Mr(this,"multi",this._options.multi),Mr(this,"type",this._options.type),Mr(this,"allowSelfLoops",this._options.allowSelfLoops),Mr(this,"implementation",()=>"graphology")}_resetInstanceCounters(){this._directedSize=0,this._undirectedSize=0,this._directedSelfLoopCount=0,this._undirectedSelfLoopCount=0}hasNode(t){return this._nodes.has(""+t)}hasDirectedEdge(t,n){if(this.type==="undirected")return!1;if(arguments.length===1){const r=""+t,a=this._edges.get(r);return!!a&&!a.undirected}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?r.out.hasOwnProperty(n):!1}throw new Pe(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasUndirectedEdge(t,n){if(this.type==="directed")return!1;if(arguments.length===1){const r=""+t,a=this._edges.get(r);return!!a&&a.undirected}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?r.undirected.hasOwnProperty(n):!1}throw new Pe(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasEdge(t,n){if(arguments.length===1){const r=""+t;return this._edges.has(r)}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?typeof r.out<"u"&&r.out.hasOwnProperty(n)||typeof r.undirected<"u"&&r.undirected.hasOwnProperty(n):!1}throw new Pe(`Graph.hasEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}directedEdge(t,n){if(this.type==="undirected")return;if(t=""+t,n=""+n,this.multi)throw new Ze("Graph.directedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.directedEdges instead.");const r=this._nodes.get(t);if(!r)throw new Le(`Graph.directedEdge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.directedEdge: could not find the "${n}" target node in the graph.`);const a=r.out&&r.out[n]||void 0;if(a)return a.key}undirectedEdge(t,n){if(this.type==="directed")return;if(t=""+t,n=""+n,this.multi)throw new Ze("Graph.undirectedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.undirectedEdges instead.");const r=this._nodes.get(t);if(!r)throw new Le(`Graph.undirectedEdge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.undirectedEdge: could not find the "${n}" target node in the graph.`);const a=r.undirected&&r.undirected[n]||void 0;if(a)return a.key}edge(t,n){if(this.multi)throw new Ze("Graph.edge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.edges instead.");t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.edge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.edge: could not find the "${n}" target node in the graph.`);const a=r.out&&r.out[n]||r.undirected&&r.undirected[n]||void 0;if(a)return a.key}areDirectedNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areDirectedNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.in||n in r.out}areOutNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areOutNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.out}areInNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areInNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.in}areUndirectedNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areUndirectedNeighbors: could not find the "${t}" node in the graph.`);return this.type==="directed"?!1:n in r.undirected}areNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&(n in r.in||n in r.out)||this.type!=="directed"&&n in r.undirected}areInboundNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areInboundNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&n in r.in||this.type!=="directed"&&n in r.undirected}areOutboundNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areOutboundNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&n in r.out||this.type!=="directed"&&n in r.undirected}inDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree}outDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.outDegree}directedDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.directedDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree+n.outDegree}undirectedDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.undirectedDegree: could not find the "${t}" node in the graph.`);return this.type==="directed"?0:n.undirectedDegree}inboundDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inboundDegree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.inDegree),r}outboundDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outboundDegree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.outDegree),r}degree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.degree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.inDegree+n.outDegree),r}inDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree-n.directedLoops}outDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.outDegree-n.directedLoops}directedDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.directedDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree+n.outDegree-n.directedLoops*2}undirectedDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.undirectedDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="directed"?0:n.undirectedDegree-n.undirectedLoops*2}inboundDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inboundDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.inDegree,a+=n.directedLoops),r-a}outboundDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outboundDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.outDegree,a+=n.directedLoops),r-a}degreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.degreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.inDegree+n.outDegree,a+=n.directedLoops*2),r-a}source(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.source: could not find the "${t}" edge in the graph.`);return n.source.key}target(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.target: could not find the "${t}" edge in the graph.`);return n.target.key}extremities(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.extremities: could not find the "${t}" edge in the graph.`);return[n.source.key,n.target.key]}opposite(t,n){t=""+t,n=""+n;const r=this._edges.get(n);if(!r)throw new Le(`Graph.opposite: could not find the "${n}" edge in the graph.`);const a=r.source.key,o=r.target.key;if(t===a)return o;if(t===o)return a;throw new Le(`Graph.opposite: the "${t}" node is not attached to the "${n}" edge (${a}, ${o}).`)}hasExtremity(t,n){t=""+t,n=""+n;const r=this._edges.get(t);if(!r)throw new Le(`Graph.hasExtremity: could not find the "${t}" edge in the graph.`);return r.source.key===n||r.target.key===n}isUndirected(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isUndirected: could not find the "${t}" edge in the graph.`);return n.undirected}isDirected(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isDirected: could not find the "${t}" edge in the graph.`);return!n.undirected}isSelfLoop(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isSelfLoop: could not find the "${t}" edge in the graph.`);return n.source===n.target}addNode(t,n){return xee(this,t,n).key}mergeNode(t,n){if(n&&!vn(n))throw new Pe(`Graph.mergeNode: invalid attributes. Expecting an object but got "${n}"`);t=""+t,n=n||{};let r=this._nodes.get(t);return r?(n&&(nn(r.attributes,n),this.emit("nodeAttributesUpdated",{type:"merge",key:t,attributes:r.attributes,data:n})),[t,!1]):(r=new this.NodeDataClass(t,n),this._nodes.set(t,r),this.emit("nodeAdded",{key:t,attributes:n}),[t,!0])}updateNode(t,n){if(n&&typeof n!="function")throw new Pe(`Graph.updateNode: invalid updater function. Expecting a function but got "${n}"`);t=""+t;let r=this._nodes.get(t);if(r){if(n){const o=r.attributes;r.attributes=n(o),this.emit("nodeAttributesUpdated",{type:"replace",key:t,attributes:r.attributes})}return[t,!1]}const a=n?n({}):{};return r=new this.NodeDataClass(t,a),this._nodes.set(t,r),this.emit("nodeAdded",{key:t,attributes:a}),[t,!0]}dropNode(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.dropNode: could not find the "${t}" node in the graph.`);let r;if(this.type!=="undirected"){for(const a in n.out){r=n.out[a];do gs(this,r),r=r.next;while(r)}for(const a in n.in){r=n.in[a];do gs(this,r),r=r.next;while(r)}}if(this.type!=="directed")for(const a in n.undirected){r=n.undirected[a];do gs(this,r),r=r.next;while(r)}this._nodes.delete(t),this.emit("nodeDropped",{key:t,attributes:n.attributes})}dropEdge(t){let n;if(arguments.length>1){const r=""+arguments[0],a=""+arguments[1];if(n=kr(this,r,a,this.type),!n)throw new Le(`Graph.dropEdge: could not find the "${r}" -> "${a}" edge in the graph.`)}else if(t=""+t,n=this._edges.get(t),!n)throw new Le(`Graph.dropEdge: could not find the "${t}" edge in the graph.`);return gs(this,n),this}dropDirectedEdge(t,n){if(arguments.length<2)throw new Ze("Graph.dropDirectedEdge: it does not make sense to try and drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new Ze("Graph.dropDirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");t=""+t,n=""+n;const r=kr(this,t,n,"directed");if(!r)throw new Le(`Graph.dropDirectedEdge: could not find a "${t}" -> "${n}" edge in the graph.`);return gs(this,r),this}dropUndirectedEdge(t,n){if(arguments.length<2)throw new Ze("Graph.dropUndirectedEdge: it does not make sense to drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new Ze("Graph.dropUndirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");const r=kr(this,t,n,"undirected");if(!r)throw new Le(`Graph.dropUndirectedEdge: could not find a "${t}" -> "${n}" edge in the graph.`);return gs(this,r),this}clear(){this._edges.clear(),this._nodes.clear(),this._resetInstanceCounters(),this.emit("cleared")}clearEdges(){const t=this._nodes.values();let n;for(;n=t.next(),n.done!==!0;)n.value.clear();this._edges.clear(),this._resetInstanceCounters(),this.emit("edgesCleared")}getAttribute(t){return this._attributes[t]}getAttributes(){return this._attributes}hasAttribute(t){return this._attributes.hasOwnProperty(t)}setAttribute(t,n){return this._attributes[t]=n,this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:t}),this}updateAttribute(t,n){if(typeof n!="function")throw new Pe("Graph.updateAttribute: updater should be a function.");const r=this._attributes[t];return this._attributes[t]=n(r),this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:t}),this}removeAttribute(t){return delete this._attributes[t],this.emit("attributesUpdated",{type:"remove",attributes:this._attributes,name:t}),this}replaceAttributes(t){if(!vn(t))throw new Pe("Graph.replaceAttributes: provided attributes are not a plain object.");return this._attributes=t,this.emit("attributesUpdated",{type:"replace",attributes:this._attributes}),this}mergeAttributes(t){if(!vn(t))throw new Pe("Graph.mergeAttributes: provided attributes are not a plain object.");return nn(this._attributes,t),this.emit("attributesUpdated",{type:"merge",attributes:this._attributes,data:t}),this}updateAttributes(t){if(typeof t!="function")throw new Pe("Graph.updateAttributes: provided updater is not a function.");return this._attributes=t(this._attributes),this.emit("attributesUpdated",{type:"update",attributes:this._attributes}),this}updateEachNodeAttributes(t,n){if(typeof t!="function")throw new Pe("Graph.updateEachNodeAttributes: expecting an updater function.");if(n&&!hN(n))throw new Pe("Graph.updateEachNodeAttributes: invalid hints. Expecting an object having the following shape: {attributes?: [string]}");const r=this._nodes.values();let a,o;for(;a=r.next(),a.done!==!0;)o=a.value,o.attributes=t(o.key,o.attributes);this.emit("eachNodeAttributesUpdated",{hints:n||null})}updateEachEdgeAttributes(t,n){if(typeof t!="function")throw new Pe("Graph.updateEachEdgeAttributes: expecting an updater function.");if(n&&!hN(n))throw new Pe("Graph.updateEachEdgeAttributes: invalid hints. Expecting an object having the following shape: {attributes?: [string]}");const r=this._edges.values();let a,o,s,l;for(;a=r.next(),a.done!==!0;)o=a.value,s=o.source,l=o.target,o.attributes=t(o.key,o.attributes,s.key,l.key,s.attributes,l.attributes,o.undirected);this.emit("eachEdgeAttributesUpdated",{hints:n||null})}forEachAdjacencyEntry(t){if(typeof t!="function")throw new Pe("Graph.forEachAdjacencyEntry: expecting a callback.");Cd(!1,!1,!1,this,t)}forEachAdjacencyEntryWithOrphans(t){if(typeof t!="function")throw new Pe("Graph.forEachAdjacencyEntryWithOrphans: expecting a callback.");Cd(!1,!1,!0,this,t)}forEachAssymetricAdjacencyEntry(t){if(typeof t!="function")throw new Pe("Graph.forEachAssymetricAdjacencyEntry: expecting a callback.");Cd(!1,!0,!1,this,t)}forEachAssymetricAdjacencyEntryWithOrphans(t){if(typeof t!="function")throw new Pe("Graph.forEachAssymetricAdjacencyEntryWithOrphans: expecting a callback.");Cd(!1,!0,!0,this,t)}nodes(){return Array.from(this._nodes.keys())}forEachNode(t){if(typeof t!="function")throw new Pe("Graph.forEachNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)a=r.value,t(a.key,a.attributes)}findNode(t){if(typeof t!="function")throw new Pe("Graph.findNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,t(a.key,a.attributes))return a.key}mapNodes(t){if(typeof t!="function")throw new Pe("Graph.mapNode: expecting a callback.");const n=this._nodes.values();let r,a;const o=new Array(this.order);let s=0;for(;r=n.next(),r.done!==!0;)a=r.value,o[s++]=t(a.key,a.attributes);return o}someNode(t){if(typeof t!="function")throw new Pe("Graph.someNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,t(a.key,a.attributes))return!0;return!1}everyNode(t){if(typeof t!="function")throw new Pe("Graph.everyNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,!t(a.key,a.attributes))return!1;return!0}filterNodes(t){if(typeof t!="function")throw new Pe("Graph.filterNodes: expecting a callback.");const n=this._nodes.values();let r,a;const o=[];for(;r=n.next(),r.done!==!0;)a=r.value,t(a.key,a.attributes)&&o.push(a.key);return o}reduceNodes(t,n){if(typeof t!="function")throw new Pe("Graph.reduceNodes: expecting a callback.");if(arguments.length<2)throw new Pe("Graph.reduceNodes: missing initial value. You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.");let r=n;const a=this._nodes.values();let o,s;for(;o=a.next(),o.done!==!0;)s=o.value,r=t(r,s.key,s.attributes);return r}nodeEntries(){const t=this._nodes.values();return{[Symbol.iterator](){return this},next(){const n=t.next();if(n.done)return n;const r=n.value;return{value:{node:r.key,attributes:r.attributes},done:!1}}}}export(){const t=new Array(this._nodes.size);let n=0;this._nodes.forEach((a,o)=>{t[n++]=hee(o,a)});const r=new Array(this._edges.size);return n=0,this._edges.forEach((a,o)=>{r[n++]=mee(this.type,o,a)}),{options:{type:this.type,multi:this.multi,allowSelfLoops:this.allowSelfLoops},attributes:this.getAttributes(),nodes:t,edges:r}}import(t,n=!1){if(t instanceof _t)return t.forEachNode((u,d)=>{n?this.mergeNode(u,d):this.addNode(u,d)}),t.forEachEdge((u,d,p,g,m,b,y)=>{n?y?this.mergeUndirectedEdgeWithKey(u,p,g,d):this.mergeDirectedEdgeWithKey(u,p,g,d):y?this.addUndirectedEdgeWithKey(u,p,g,d):this.addDirectedEdgeWithKey(u,p,g,d)}),this;if(!vn(t))throw new Pe("Graph.import: invalid argument. Expecting a serialized graph or, alternatively, a Graph instance.");if(t.attributes){if(!vn(t.attributes))throw new Pe("Graph.import: invalid attributes. Expecting a plain object.");n?this.mergeAttributes(t.attributes):this.replaceAttributes(t.attributes)}let r,a,o,s,l;if(t.nodes){if(o=t.nodes,!Array.isArray(o))throw new Pe("Graph.import: invalid nodes. Expecting an array.");for(r=0,a=o.length;r{const o=nn({},r.attributes);r=new n.NodeDataClass(a,o),n._nodes.set(a,r)}),n}copy(t){if(t=t||{},typeof t.type=="string"&&t.type!==this.type&&t.type!=="mixed")throw new Ze(`Graph.copy: cannot create an incompatible copy from "${this.type}" type to "${t.type}" because this would mean losing information about the current graph.`);if(typeof t.multi=="boolean"&&t.multi!==this.multi&&t.multi!==!0)throw new Ze("Graph.copy: cannot create an incompatible copy by downgrading a multi graph to a simple one because this would mean losing information about the current graph.");if(typeof t.allowSelfLoops=="boolean"&&t.allowSelfLoops!==this.allowSelfLoops&&t.allowSelfLoops!==!0)throw new Ze("Graph.copy: cannot create an incompatible copy from a graph allowing self loops to one that does not because this would mean losing information about the current graph.");const n=this.emptyCopy(t),r=this._edges.values();let a,o;for(;a=r.next(),a.done!==!0;)o=a.value,E4(n,"copy",!1,o.undirected,o.key,o.source.key,o.target.key,nn({},o.attributes));return n}toJSON(){return this.export()}toString(){return"[object Graph]"}inspect(){const t={};this._nodes.forEach((o,s)=>{t[s]=o.attributes});const n={},r={};this._edges.forEach((o,s)=>{const l=o.undirected?"--":"->";let u="",d=o.source.key,p=o.target.key,g;o.undirected&&d>p&&(g=d,d=p,p=g);const m=`(${d})${l}(${p})`;s.startsWith("geid_")?this.multi&&(typeof r[m]>"u"?r[m]=0:r[m]++,u+=`${r[m]}. `):u+=`[${s}]: `,u+=m,n[u]=o.attributes});const a={};for(const o in this)this.hasOwnProperty(o)&&!mN.has(o)&&typeof this[o]!="function"&&typeof o!="symbol"&&(a[o]=this[o]);return a.attributes=this._attributes,a.nodes=t,a.edges=n,Sr(a,"constructor",this.constructor),a}}typeof Symbol<"u"&&(_t.prototype[Symbol.for("nodejs.util.inspect.custom")]=_t.prototype.inspect);Eee.forEach(e=>{["add","merge","update"].forEach(t=>{const 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e=this.source.key,t=this.target.key;let n="out",r="in";this.undirected&&(n=r="undirected"),this.previous===void 0?this.next===void 0?(delete this.source[n][t],delete this.target[r][e]):(this.next.previous=void 0,this.source[n][t]=this.next,this.target[r][e]=this.next):(this.previous.next=this.next,this.next!==void 0&&(this.next.previous=this.previous))};const b4=0,y4=1,wJ=2,v4=3;function qa(e,t,n,r,a,o,s){let l,u,d,p;if(r=""+r,n===b4){if(l=e._nodes.get(r),!l)throw new Le(`Graph.${t}: could not find the "${r}" node in the graph.`);d=a,p=o}else if(n===v4){if(a=""+a,u=e._edges.get(a),!u)throw new Le(`Graph.${t}: could not find the "${a}" edge in the graph.`);const g=u.source.key,m=u.target.key;if(r===g)l=u.target;else if(r===m)l=u.source;else throw new Le(`Graph.${t}: the "${r}" node is not attached to the "${a}" edge (${g}, ${m}).`);d=o,p=s}else{if(u=e._edges.get(r),!u)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`);n===y4?l=u.source:l=u.target,d=a,p=o}return[l,d,p]}function xJ(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);return s.attributes[l]}}function kJ(e,t,n){e.prototype[t]=function(r,a){const[o]=qa(this,t,n,r,a);return o.attributes}}function TJ(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);return s.attributes.hasOwnProperty(l)}}function AJ(e,t,n){e.prototype[t]=function(r,a,o,s){const[l,u,d]=qa(this,t,n,r,a,o,s);return l.attributes[u]=d,this.emit("nodeAttributesUpdated",{key:l.key,type:"set",attributes:l.attributes,name:u}),this}}function RJ(e,t,n){e.prototype[t]=function(r,a,o,s){const[l,u,d]=qa(this,t,n,r,a,o,s);if(typeof d!="function")throw new Pe(`Graph.${t}: updater should be a function.`);const p=l.attributes,g=d(p[u]);return p[u]=g,this.emit("nodeAttributesUpdated",{key:l.key,type:"set",attributes:l.attributes,name:u}),this}}function CJ(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);return delete s.attributes[l],this.emit("nodeAttributesUpdated",{key:s.key,type:"remove",attributes:s.attributes,name:l}),this}}function _J(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);if(!Sn(l))throw new Pe(`Graph.${t}: provided attributes are not a plain object.`);return s.attributes=l,this.emit("nodeAttributesUpdated",{key:s.key,type:"replace",attributes:s.attributes}),this}}function NJ(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);if(!Sn(l))throw new Pe(`Graph.${t}: provided attributes are not a plain object.`);return nn(s.attributes,l),this.emit("nodeAttributesUpdated",{key:s.key,type:"merge",attributes:s.attributes,data:l}),this}}function OJ(e,t,n){e.prototype[t]=function(r,a,o){const[s,l]=qa(this,t,n,r,a,o);if(typeof l!="function")throw new Pe(`Graph.${t}: provided updater is not a function.`);return s.attributes=l(s.attributes),this.emit("nodeAttributesUpdated",{key:s.key,type:"update",attributes:s.attributes}),this}}const IJ=[{name:e=>`get${e}Attribute`,attacher:xJ},{name:e=>`get${e}Attributes`,attacher:kJ},{name:e=>`has${e}Attribute`,attacher:TJ},{name:e=>`set${e}Attribute`,attacher:AJ},{name:e=>`update${e}Attribute`,attacher:RJ},{name:e=>`remove${e}Attribute`,attacher:CJ},{name:e=>`replace${e}Attributes`,attacher:_J},{name:e=>`merge${e}Attributes`,attacher:NJ},{name:e=>`update${e}Attributes`,attacher:OJ}];function DJ(e){IJ.forEach(function({name:t,attacher:n}){n(e,t("Node"),b4),n(e,t("Source"),y4),n(e,t("Target"),wJ),n(e,t("Opposite"),v4)})}function LJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return o.attributes[a]}}function MJ(e,t,n){e.prototype[t]=function(r){let a;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>1){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const o=""+r,s=""+arguments[1];if(a=kr(this,o,s,n),!a)throw new Le(`Graph.${t}: could not find an edge for the given path ("${o}" - "${s}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,a=this._edges.get(r),!a)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return a.attributes}}function PJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return o.attributes.hasOwnProperty(a)}}function FJ(e,t,n){e.prototype[t]=function(r,a,o){let s;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>3){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const l=""+r,u=""+a;if(a=arguments[2],o=arguments[3],s=kr(this,l,u,n),!s)throw new Le(`Graph.${t}: could not find an edge for the given path ("${l}" - "${u}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,s=this._edges.get(r),!s)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return s.attributes[a]=o,this.emit("edgeAttributesUpdated",{key:s.key,type:"set",attributes:s.attributes,name:a}),this}}function zJ(e,t,n){e.prototype[t]=function(r,a,o){let s;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>3){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const l=""+r,u=""+a;if(a=arguments[2],o=arguments[3],s=kr(this,l,u,n),!s)throw new Le(`Graph.${t}: could not find an edge for the given path ("${l}" - "${u}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,s=this._edges.get(r),!s)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}if(typeof o!="function")throw new Pe(`Graph.${t}: updater should be a function.`);return s.attributes[a]=o(s.attributes[a]),this.emit("edgeAttributesUpdated",{key:s.key,type:"set",attributes:s.attributes,name:a}),this}}function BJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}return delete o.attributes[a],this.emit("edgeAttributesUpdated",{key:o.key,type:"remove",attributes:o.attributes,name:a}),this}}function jJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}if(!Sn(a))throw new Pe(`Graph.${t}: provided attributes are not a plain object.`);return o.attributes=a,this.emit("edgeAttributesUpdated",{key:o.key,type:"replace",attributes:o.attributes}),this}}function UJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}if(!Sn(a))throw new Pe(`Graph.${t}: provided attributes are not a plain object.`);return nn(o.attributes,a),this.emit("edgeAttributesUpdated",{key:o.key,type:"merge",attributes:o.attributes,data:a}),this}}function GJ(e,t,n){e.prototype[t]=function(r,a){let o;if(this.type!=="mixed"&&n!=="mixed"&&n!==this.type)throw new Ze(`Graph.${t}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new Ze(`Graph.${t}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const s=""+r,l=""+a;if(a=arguments[2],o=kr(this,s,l,n),!o)throw new Le(`Graph.${t}: could not find an edge for the given path ("${s}" - "${l}").`)}else{if(n!=="mixed")throw new Ze(`Graph.${t}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(r=""+r,o=this._edges.get(r),!o)throw new Le(`Graph.${t}: could not find the "${r}" edge in the graph.`)}if(typeof a!="function")throw new Pe(`Graph.${t}: provided updater is not a function.`);return o.attributes=a(o.attributes),this.emit("edgeAttributesUpdated",{key:o.key,type:"update",attributes:o.attributes}),this}}const HJ=[{name:e=>`get${e}Attribute`,attacher:LJ},{name:e=>`get${e}Attributes`,attacher:MJ},{name:e=>`has${e}Attribute`,attacher:PJ},{name:e=>`set${e}Attribute`,attacher:FJ},{name:e=>`update${e}Attribute`,attacher:zJ},{name:e=>`remove${e}Attribute`,attacher:BJ},{name:e=>`replace${e}Attributes`,attacher:jJ},{name:e=>`merge${e}Attributes`,attacher:UJ},{name:e=>`update${e}Attributes`,attacher:GJ}];function $J(e){HJ.forEach(function({name:t,attacher:n}){n(e,t("Edge"),"mixed"),n(e,t("DirectedEdge"),"directed"),n(e,t("UndirectedEdge"),"undirected")})}const 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r===!0?{done:!0}:(r=!0,{done:!1,value:{edge:n.key,attributes:n.attributes,source:n.source.key,target:n.target.key,sourceAttributes:n.source.attributes,targetAttributes:n.target.attributes,undirected:n.undirected}})}}}function XJ(e,t){if(e.size===0)return[];if(t==="mixed"||t===e.type)return Array.from(e._edges.keys());const n=t==="undirected"?e.undirectedSize:e.directedSize,r=new Array(n),a=t==="undirected",o=e._edges.values();let s=0,l,u;for(;l=o.next(),l.done!==!0;)u=l.value,u.undirected===a&&(r[s++]=u.key);return r}function S4(e,t,n,r){if(t.size===0)return;const a=n!=="mixed"&&n!==t.type,o=n==="undirected";let s,l,u=!1;const d=t._edges.values();for(;s=d.next(),s.done!==!0;){if(l=s.value,a&&l.undirected!==o)continue;const{key:p,attributes:g,source:m,target:b}=l;if(u=r(p,g,m.key,b.key,m.attributes,b.attributes,l.undirected),e&&u)return p}}function ZJ(e,t){if(e.size===0)return Xs();const n=t!=="mixed"&&t!==e.type,r=t==="undirected",a=e._edges.values();return{[Symbol.iterator](){return this},next(){let o,s;for(;;){if(o=a.next(),o.done)return o;if(s=o.value,!(n&&s.undirected!==r))break}return{value:{edge:s.key,attributes:s.attributes,source:s.source.key,target:s.target.key,sourceAttributes:s.source.attributes,targetAttributes:s.target.attributes,undirected:s.undirected},done:!1}}}}function RT(e,t,n,r,a,o){const s=t?WJ:VJ;let l;if(n!=="undirected"&&(r!=="out"&&(l=s(e,a.in,o),e&&l)||r!=="in"&&(l=s(e,a.out,o,r?void 0:a.key),e&&l))||n!=="directed"&&(l=s(e,a.undirected,o),e&&l))return l}function QJ(e,t,n,r){const a=[];return RT(!1,e,t,n,r,function(o){a.push(o)}),a}function JJ(e,t,n){let r=Xs();return e!=="undirected"&&(t!=="out"&&typeof n.in<"u"&&(r=za(r,ym(n.in))),t!=="in"&&typeof n.out<"u"&&(r=za(r,ym(n.out,t?void 0:n.key)))),e!=="directed"&&typeof n.undirected<"u"&&(r=za(r,ym(n.undirected))),r}function CT(e,t,n,r,a,o,s){const l=n?KJ:YJ;let u;if(t!=="undirected"&&(typeof a.in<"u"&&r!=="out"&&(u=l(e,a.in,o,s),e&&u)||typeof a.out<"u"&&r!=="in"&&(r||a.key!==o)&&(u=l(e,a.out,o,s),e&&u))||t!=="directed"&&typeof a.undirected<"u"&&(u=l(e,a.undirected,o,s),e&&u))return u}function eee(e,t,n,r,a){const o=[];return CT(!1,e,t,n,r,a,function(s){o.push(s)}),o}function tee(e,t,n,r){let a=Xs();return e!=="undirected"&&(typeof n.in<"u"&&t!=="out"&&r in n.in&&(a=za(a,vm(n.in,r))),typeof n.out<"u"&&t!=="in"&&r in n.out&&(t||n.key!==r)&&(a=za(a,vm(n.out,r)))),e!=="directed"&&typeof n.undirected<"u"&&r in n.undirected&&(a=za(a,vm(n.undirected,r))),a}function nee(e,t){const{name:n,type:r,direction:a}=t;e.prototype[n]=function(o,s){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return[];if(!arguments.length)return XJ(this,r);if(arguments.length===1){o=""+o;const l=this._nodes.get(o);if(typeof l>"u")throw new Le(`Graph.${n}: could not find the "${o}" node in the graph.`);return QJ(this.multi,r==="mixed"?this.type:r,a,l)}if(arguments.length===2){o=""+o,s=""+s;const l=this._nodes.get(o);if(!l)throw new Le(`Graph.${n}: could not find the "${o}" source node in the graph.`);if(!this._nodes.has(s))throw new Le(`Graph.${n}: could not find the "${s}" target node in the graph.`);return eee(r,this.multi,a,l,s)}throw new Pe(`Graph.${n}: too many arguments (expecting 0, 1 or 2 and got ${arguments.length}).`)}}function ree(e,t){const{name:n,type:r,direction:a}=t,o="forEach"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[o]=function(d,p,g){if(!(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)){if(arguments.length===1)return g=d,S4(!1,this,r,g);if(arguments.length===2){d=""+d,g=p;const m=this._nodes.get(d);if(typeof m>"u")throw new Le(`Graph.${o}: could not find the "${d}" node in the graph.`);return RT(!1,this.multi,r==="mixed"?this.type:r,a,m,g)}if(arguments.length===3){d=""+d,p=""+p;const m=this._nodes.get(d);if(!m)throw new Le(`Graph.${o}: could not find the "${d}" source node in the graph.`);if(!this._nodes.has(p))throw new Le(`Graph.${o}: could not find the "${p}" target node in the graph.`);return CT(!1,r,this.multi,a,m,p,g)}throw new Pe(`Graph.${o}: too many arguments (expecting 1, 2 or 3 and got ${arguments.length}).`)}};const s="map"+n[0].toUpperCase()+n.slice(1);e.prototype[s]=function(){const d=Array.prototype.slice.call(arguments),p=d.pop();let g;if(d.length===0){let m=0;r!=="directed"&&(m+=this.undirectedSize),r!=="undirected"&&(m+=this.directedSize),g=new Array(m);let b=0;d.push((y,v,x,T,k,R,O)=>{g[b++]=p(y,v,x,T,k,R,O)})}else g=[],d.push((m,b,y,v,x,T,k)=>{g.push(p(m,b,y,v,x,T,k))});return this[o].apply(this,d),g};const l="filter"+n[0].toUpperCase()+n.slice(1);e.prototype[l]=function(){const d=Array.prototype.slice.call(arguments),p=d.pop(),g=[];return d.push((m,b,y,v,x,T,k)=>{p(m,b,y,v,x,T,k)&&g.push(m)}),this[o].apply(this,d),g};const u="reduce"+n[0].toUpperCase()+n.slice(1);e.prototype[u]=function(){let d=Array.prototype.slice.call(arguments);if(d.length<2||d.length>4)throw new Pe(`Graph.${u}: invalid number of arguments (expecting 2, 3 or 4 and got ${d.length}).`);if(typeof d[d.length-1]=="function"&&typeof d[d.length-2]!="function")throw new Pe(`Graph.${u}: missing initial value. 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graph.`);if(!this._nodes.has(d))throw new Le(`Graph.${o}: could not find the "${d}" target node in the graph.`);return CT(!0,r,this.multi,a,g,d,p)}throw new Pe(`Graph.${o}: too many arguments (expecting 1, 2 or 3 and got ${arguments.length}).`)};const s="some"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[s]=function(){const u=Array.prototype.slice.call(arguments),d=u.pop();return u.push((g,m,b,y,v,x,T)=>d(g,m,b,y,v,x,T)),!!this[o].apply(this,u)};const l="every"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[l]=function(){const u=Array.prototype.slice.call(arguments),d=u.pop();return u.push((g,m,b,y,v,x,T)=>!d(g,m,b,y,v,x,T)),!this[o].apply(this,u)}}function oee(e,t){const{name:n,type:r,direction:a}=t,o=n.slice(0,-1)+"Entries";e.prototype[o]=function(s,l){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return Xs();if(!arguments.length)return ZJ(this,r);if(arguments.length===1){s=""+s;const u=this._nodes.get(s);if(!u)throw new Le(`Graph.${o}: could not find the "${s}" node in the graph.`);return JJ(r,a,u)}if(arguments.length===2){s=""+s,l=""+l;const u=this._nodes.get(s);if(!u)throw new Le(`Graph.${o}: could not find the "${s}" source node in the graph.`);if(!this._nodes.has(l))throw new Le(`Graph.${o}: could not find the "${l}" target node in the graph.`);return tee(r,a,u,l)}throw new Pe(`Graph.${o}: too many arguments (expecting 0, 1 or 2 and got ${arguments.length}).`)}}function iee(e){qJ.forEach(t=>{nee(e,t),ree(e,t),aee(e,t),oee(e,t)})}const see=[{name:"neighbors",type:"mixed"},{name:"inNeighbors",type:"directed",direction:"in"},{name:"outNeighbors",type:"directed",direction:"out"},{name:"inboundNeighbors",type:"mixed",direction:"in"},{name:"outboundNeighbors",type:"mixed",direction:"out"},{name:"directedNeighbors",type:"directed"},{name:"undirectedNeighbors",type:"undirected"}];function xp(){this.A=null,this.B=null}xp.prototype.wrap=function(e){this.A===null?this.A=e:this.B===null&&(this.B=e)};xp.prototype.has=function(e){return this.A!==null&&e in this.A||this.B!==null&&e in this.B};function nc(e,t,n,r,a){for(const o in r){const s=r[o],l=s.source,u=s.target,d=l===n?u:l;if(t&&t.has(d.key))continue;const p=a(d.key,d.attributes);if(e&&p)return d.key}}function _T(e,t,n,r,a){if(t!=="mixed"){if(t==="undirected")return nc(e,null,r,r.undirected,a);if(typeof n=="string")return nc(e,null,r,r[n],a)}const o=new xp;let s;if(t!=="undirected"){if(n!=="out"){if(s=nc(e,null,r,r.in,a),e&&s)return s;o.wrap(r.in)}if(n!=="in"){if(s=nc(e,o,r,r.out,a),e&&s)return s;o.wrap(r.out)}}if(t!=="directed"&&(s=nc(e,o,r,r.undirected,a),e&&s))return s}function lee(e,t,n){if(e!=="mixed"){if(e==="undirected")return Object.keys(n.undirected);if(typeof t=="string")return Object.keys(n[t])}const r=[];return _T(!1,e,t,n,function(a){r.push(a)}),r}function rc(e,t,n){const r=Object.keys(n),a=r.length;let o=0;return{[Symbol.iterator](){return this},next(){let s=null;do{if(o>=a)return e&&e.wrap(n),{done:!0};const l=n[r[o++]],u=l.source,d=l.target;if(s=u===t?d:u,e&&e.has(s.key)){s=null;continue}}while(s===null);return{done:!1,value:{neighbor:s.key,attributes:s.attributes}}}}}function cee(e,t,n){if(e!=="mixed"){if(e==="undirected")return rc(null,n,n.undirected);if(typeof t=="string")return rc(null,n,n[t])}let r=Xs();const a=new xp;return e!=="undirected"&&(t!=="out"&&(r=za(r,rc(a,n,n.in))),t!=="in"&&(r=za(r,rc(a,n,n.out)))),e!=="directed"&&(r=za(r,rc(a,n,n.undirected))),r}function uee(e,t){const{name:n,type:r,direction:a}=t;e.prototype[n]=function(o){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return[];o=""+o;const s=this._nodes.get(o);if(typeof s>"u")throw new Le(`Graph.${n}: could not find the "${o}" node in the graph.`);return lee(r==="mixed"?this.type:r,a,s)}}function dee(e,t){const{name:n,type:r,direction:a}=t,o="forEach"+n[0].toUpperCase()+n.slice(1,-1);e.prototype[o]=function(d,p){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return;d=""+d;const g=this._nodes.get(d);if(typeof g>"u")throw new Le(`Graph.${o}: could not find the "${d}" node in the graph.`);_T(!1,r==="mixed"?this.type:r,a,g,p)};const s="map"+n[0].toUpperCase()+n.slice(1);e.prototype[s]=function(d,p){const g=[];return this[o](d,(m,b)=>{g.push(p(m,b))}),g};const l="filter"+n[0].toUpperCase()+n.slice(1);e.prototype[l]=function(d,p){const g=[];return this[o](d,(m,b)=>{p(m,b)&&g.push(m)}),g};const u="reduce"+n[0].toUpperCase()+n.slice(1);e.prototype[u]=function(d,p,g){if(arguments.length<3)throw new Pe(`Graph.${u}: missing initial value. You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.`);let m=g;return this[o](d,(b,y)=>{m=p(m,b,y)}),m}}function fee(e,t){const{name:n,type:r,direction:a}=t,o=n[0].toUpperCase()+n.slice(1,-1),s="find"+o;e.prototype[s]=function(d,p){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return;d=""+d;const g=this._nodes.get(d);if(typeof g>"u")throw new Le(`Graph.${s}: could not find the "${d}" node in the graph.`);return _T(!0,r==="mixed"?this.type:r,a,g,p)};const l="some"+o;e.prototype[l]=function(d,p){return!!this[s](d,p)};const u="every"+o;e.prototype[u]=function(d,p){return!this[s](d,(m,b)=>!p(m,b))}}function pee(e,t){const{name:n,type:r,direction:a}=t,o=n.slice(0,-1)+"Entries";e.prototype[o]=function(s){if(r!=="mixed"&&this.type!=="mixed"&&r!==this.type)return Xs();s=""+s;const l=this._nodes.get(s);if(typeof l>"u")throw new Le(`Graph.${o}: could not find the "${s}" node in the graph.`);return cee(r==="mixed"?this.type:r,a,l)}}function gee(e){see.forEach(t=>{uee(e,t),dee(e,t),fee(e,t),pee(e,t)})}function Cd(e,t,n,r,a){const o=r._nodes.values(),s=r.type;let l,u,d,p,g,m;for(;l=o.next(),l.done!==!0;){let b=!1;if(u=l.value,s!=="undirected"){p=u.out;for(d in p){g=p[d];do m=g.target,b=!0,a(u.key,m.key,u.attributes,m.attributes,g.key,g.attributes,g.undirected),g=g.next;while(g)}}if(s!=="directed"){p=u.undirected;for(d in p)if(!(t&&u.key>d)){g=p[d];do m=g.target,m.key!==d&&(m=g.source),b=!0,a(u.key,m.key,u.attributes,m.attributes,g.key,g.attributes,g.undirected),g=g.next;while(g)}}n&&!b&&a(u.key,null,u.attributes,null,null,null,null)}}function hee(e,t){const n={key:e};return p4(t.attributes)||(n.attributes=nn({},t.attributes)),n}function mee(e,t,n){const r={key:t,source:n.source.key,target:n.target.key};return p4(n.attributes)||(r.attributes=nn({},n.attributes)),e==="mixed"&&n.undirected&&(r.undirected=!0),r}function bee(e){if(!Sn(e))throw new Pe('Graph.import: invalid serialized node. A serialized node should be a plain object with at least a "key" property.');if(!("key"in e))throw new Pe("Graph.import: serialized node is missing its key.");if("attributes"in e&&(!Sn(e.attributes)||e.attributes===null))throw new Pe("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.")}function yee(e){if(!Sn(e))throw new Pe('Graph.import: invalid serialized edge. A serialized edge should be a plain object with at least a "source" & "target" property.');if(!("source"in e))throw new Pe("Graph.import: serialized edge is missing its source.");if(!("target"in e))throw new Pe("Graph.import: serialized edge is missing its target.");if("attributes"in e&&(!Sn(e.attributes)||e.attributes===null))throw new Pe("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.");if("undirected"in e&&typeof e.undirected!="boolean")throw new Pe("Graph.import: invalid undirectedness information. Undirected should be boolean or omitted.")}const vee=EJ(),See=new Set(["directed","undirected","mixed"]),mN=new Set(["domain","_events","_eventsCount","_maxListeners"]),Eee=[{name:e=>`${e}Edge`,generateKey:!0},{name:e=>`${e}DirectedEdge`,generateKey:!0,type:"directed"},{name:e=>`${e}UndirectedEdge`,generateKey:!0,type:"undirected"},{name:e=>`${e}EdgeWithKey`},{name:e=>`${e}DirectedEdgeWithKey`,type:"directed"},{name:e=>`${e}UndirectedEdgeWithKey`,type:"undirected"}],wee={allowSelfLoops:!0,multi:!1,type:"mixed"};function xee(e,t,n){if(n&&!Sn(n))throw new Pe(`Graph.addNode: invalid attributes. Expecting an object but got "${n}"`);if(t=""+t,n=n||{},e._nodes.has(t))throw new Ze(`Graph.addNode: the "${t}" node already exist in the graph.`);const r=new e.NodeDataClass(t,n);return e._nodes.set(t,r),e.emit("nodeAdded",{key:t,attributes:n}),r}function bN(e,t,n){const r=new e.NodeDataClass(t,n);return e._nodes.set(t,r),e.emit("nodeAdded",{key:t,attributes:n}),r}function E4(e,t,n,r,a,o,s,l){if(!r&&e.type==="undirected")throw new Ze(`Graph.${t}: you cannot add a directed edge to an undirected graph. Use the #.addEdge or #.addUndirectedEdge instead.`);if(r&&e.type==="directed")throw new Ze(`Graph.${t}: you cannot add an undirected edge to a directed graph. Use the #.addEdge or #.addDirectedEdge instead.`);if(l&&!Sn(l))throw new Pe(`Graph.${t}: invalid attributes. Expecting an object but got "${l}"`);if(o=""+o,s=""+s,l=l||{},!e.allowSelfLoops&&o===s)throw new Ze(`Graph.${t}: source & target are the same ("${o}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);const u=e._nodes.get(o),d=e._nodes.get(s);if(!u)throw new Le(`Graph.${t}: source node "${o}" not found.`);if(!d)throw new Le(`Graph.${t}: target node "${s}" not found.`);const p={key:null,undirected:r,source:o,target:s,attributes:l};if(n)a=e._edgeKeyGenerator();else if(a=""+a,e._edges.has(a))throw new Ze(`Graph.${t}: the "${a}" edge already exists in the graph.`);if(!e.multi&&(r?typeof u.undirected[s]<"u":typeof u.out[s]<"u"))throw new Ze(`Graph.${t}: an edge linking "${o}" to "${s}" already exists. If you really want to add multiple edges linking those nodes, you should create a multi graph by using the 'multi' option.`);const g=new Zs(r,a,u,d,l);e._edges.set(a,g);const m=o===s;return r?(u.undirectedDegree++,d.undirectedDegree++,m&&(u.undirectedLoops++,e._undirectedSelfLoopCount++)):(u.outDegree++,d.inDegree++,m&&(u.directedLoops++,e._directedSelfLoopCount++)),e.multi?g.attachMulti():g.attach(),r?e._undirectedSize++:e._directedSize++,p.key=a,e.emit("edgeAdded",p),a}function kee(e,t,n,r,a,o,s,l,u){if(!r&&e.type==="undirected")throw new Ze(`Graph.${t}: you cannot merge/update a directed edge to an undirected graph. Use the #.mergeEdge/#.updateEdge or #.addUndirectedEdge instead.`);if(r&&e.type==="directed")throw new Ze(`Graph.${t}: you cannot merge/update an undirected edge to a directed graph. Use the #.mergeEdge/#.updateEdge or #.addDirectedEdge instead.`);if(l){if(u){if(typeof l!="function")throw new Pe(`Graph.${t}: invalid updater function. Expecting a function but got "${l}"`)}else if(!Sn(l))throw new Pe(`Graph.${t}: invalid attributes. Expecting an object but got "${l}"`)}o=""+o,s=""+s;let d;if(u&&(d=l,l=void 0),!e.allowSelfLoops&&o===s)throw new Ze(`Graph.${t}: source & target are the same ("${o}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);let p=e._nodes.get(o),g=e._nodes.get(s),m,b;if(!n&&(m=e._edges.get(a),m)){if((m.source.key!==o||m.target.key!==s)&&(!r||m.source.key!==s||m.target.key!==o))throw new Ze(`Graph.${t}: inconsistency detected when attempting to merge the "${a}" edge with "${o}" source & "${s}" target vs. ("${m.source.key}", "${m.target.key}").`);b=m}if(!b&&!e.multi&&p&&(b=r?p.undirected[s]:p.out[s]),b){const k=[b.key,!1,!1,!1];if(u?!d:!l)return k;if(u){const R=b.attributes;b.attributes=d(R),e.emit("edgeAttributesUpdated",{type:"replace",key:b.key,attributes:b.attributes})}else nn(b.attributes,l),e.emit("edgeAttributesUpdated",{type:"merge",key:b.key,attributes:b.attributes,data:l});return k}l=l||{},u&&d&&(l=d(l));const y={key:null,undirected:r,source:o,target:s,attributes:l};if(n)a=e._edgeKeyGenerator();else if(a=""+a,e._edges.has(a))throw new Ze(`Graph.${t}: the "${a}" edge already exists in the graph.`);let v=!1,x=!1;p||(p=bN(e,o,{}),v=!0,o===s&&(g=p,x=!0)),g||(g=bN(e,s,{}),x=!0),m=new Zs(r,a,p,g,l),e._edges.set(a,m);const T=o===s;return r?(p.undirectedDegree++,g.undirectedDegree++,T&&(p.undirectedLoops++,e._undirectedSelfLoopCount++)):(p.outDegree++,g.inDegree++,T&&(p.directedLoops++,e._directedSelfLoopCount++)),e.multi?m.attachMulti():m.attach(),r?e._undirectedSize++:e._directedSize++,y.key=a,e.emit("edgeAdded",y),[a,!0,v,x]}function gs(e,t){e._edges.delete(t.key);const{source:n,target:r,attributes:a}=t,o=t.undirected,s=n===r;o?(n.undirectedDegree--,r.undirectedDegree--,s&&(n.undirectedLoops--,e._undirectedSelfLoopCount--)):(n.outDegree--,r.inDegree--,s&&(n.directedLoops--,e._directedSelfLoopCount--)),e.multi?t.detachMulti():t.detach(),o?e._undirectedSize--:e._directedSize--,e.emit("edgeDropped",{key:t.key,attributes:a,source:n.key,target:r.key,undirected:o})}class _t extends f4.EventEmitter{constructor(t){if(super(),t=nn({},wee,t),typeof t.multi!="boolean")throw new Pe(`Graph.constructor: invalid 'multi' option. Expecting a boolean but got "${t.multi}".`);if(!See.has(t.type))throw new Pe(`Graph.constructor: invalid 'type' option. Should be one of "mixed", "directed" or "undirected" but got "${t.type}".`);if(typeof t.allowSelfLoops!="boolean")throw new Pe(`Graph.constructor: invalid 'allowSelfLoops' option. Expecting a boolean but got "${t.allowSelfLoops}".`);const n=t.type==="mixed"?g4:t.type==="directed"?h4:m4;Sr(this,"NodeDataClass",n);const r="geid_"+vee()+"_";let a=0;const o=()=>{let s;do s=r+a++;while(this._edges.has(s));return s};Sr(this,"_attributes",{}),Sr(this,"_nodes",new Map),Sr(this,"_edges",new Map),Sr(this,"_directedSize",0),Sr(this,"_undirectedSize",0),Sr(this,"_directedSelfLoopCount",0),Sr(this,"_undirectedSelfLoopCount",0),Sr(this,"_edgeKeyGenerator",o),Sr(this,"_options",t),mN.forEach(s=>Sr(this,s,this[s])),Mr(this,"order",()=>this._nodes.size),Mr(this,"size",()=>this._edges.size),Mr(this,"directedSize",()=>this._directedSize),Mr(this,"undirectedSize",()=>this._undirectedSize),Mr(this,"selfLoopCount",()=>this._directedSelfLoopCount+this._undirectedSelfLoopCount),Mr(this,"directedSelfLoopCount",()=>this._directedSelfLoopCount),Mr(this,"undirectedSelfLoopCount",()=>this._undirectedSelfLoopCount),Mr(this,"multi",this._options.multi),Mr(this,"type",this._options.type),Mr(this,"allowSelfLoops",this._options.allowSelfLoops),Mr(this,"implementation",()=>"graphology")}_resetInstanceCounters(){this._directedSize=0,this._undirectedSize=0,this._directedSelfLoopCount=0,this._undirectedSelfLoopCount=0}hasNode(t){return this._nodes.has(""+t)}hasDirectedEdge(t,n){if(this.type==="undirected")return!1;if(arguments.length===1){const r=""+t,a=this._edges.get(r);return!!a&&!a.undirected}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?r.out.hasOwnProperty(n):!1}throw new Pe(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasUndirectedEdge(t,n){if(this.type==="directed")return!1;if(arguments.length===1){const r=""+t,a=this._edges.get(r);return!!a&&a.undirected}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?r.undirected.hasOwnProperty(n):!1}throw new Pe(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasEdge(t,n){if(arguments.length===1){const r=""+t;return this._edges.has(r)}else if(arguments.length===2){t=""+t,n=""+n;const r=this._nodes.get(t);return r?typeof r.out<"u"&&r.out.hasOwnProperty(n)||typeof r.undirected<"u"&&r.undirected.hasOwnProperty(n):!1}throw new Pe(`Graph.hasEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}directedEdge(t,n){if(this.type==="undirected")return;if(t=""+t,n=""+n,this.multi)throw new Ze("Graph.directedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.directedEdges instead.");const r=this._nodes.get(t);if(!r)throw new Le(`Graph.directedEdge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.directedEdge: could not find the "${n}" target node in the graph.`);const a=r.out&&r.out[n]||void 0;if(a)return a.key}undirectedEdge(t,n){if(this.type==="directed")return;if(t=""+t,n=""+n,this.multi)throw new Ze("Graph.undirectedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.undirectedEdges instead.");const r=this._nodes.get(t);if(!r)throw new Le(`Graph.undirectedEdge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.undirectedEdge: could not find the "${n}" target node in the graph.`);const a=r.undirected&&r.undirected[n]||void 0;if(a)return a.key}edge(t,n){if(this.multi)throw new Ze("Graph.edge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.edges instead.");t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.edge: could not find the "${t}" source node in the graph.`);if(!this._nodes.has(n))throw new Le(`Graph.edge: could not find the "${n}" target node in the graph.`);const a=r.out&&r.out[n]||r.undirected&&r.undirected[n]||void 0;if(a)return a.key}areDirectedNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areDirectedNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.in||n in r.out}areOutNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areOutNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.out}areInNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areInNeighbors: could not find the "${t}" node in the graph.`);return this.type==="undirected"?!1:n in r.in}areUndirectedNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areUndirectedNeighbors: could not find the "${t}" node in the graph.`);return this.type==="directed"?!1:n in r.undirected}areNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&(n in r.in||n in r.out)||this.type!=="directed"&&n in r.undirected}areInboundNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areInboundNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&n in r.in||this.type!=="directed"&&n in r.undirected}areOutboundNeighbors(t,n){t=""+t,n=""+n;const r=this._nodes.get(t);if(!r)throw new Le(`Graph.areOutboundNeighbors: could not find the "${t}" node in the graph.`);return this.type!=="undirected"&&n in r.out||this.type!=="directed"&&n in r.undirected}inDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree}outDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.outDegree}directedDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.directedDegree: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree+n.outDegree}undirectedDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.undirectedDegree: could not find the "${t}" node in the graph.`);return this.type==="directed"?0:n.undirectedDegree}inboundDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inboundDegree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.inDegree),r}outboundDegree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outboundDegree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.outDegree),r}degree(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.degree: could not find the "${t}" node in the graph.`);let r=0;return this.type!=="directed"&&(r+=n.undirectedDegree),this.type!=="undirected"&&(r+=n.inDegree+n.outDegree),r}inDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree-n.directedLoops}outDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.outDegree-n.directedLoops}directedDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.directedDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="undirected"?0:n.inDegree+n.outDegree-n.directedLoops*2}undirectedDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.undirectedDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);return this.type==="directed"?0:n.undirectedDegree-n.undirectedLoops*2}inboundDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.inboundDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.inDegree,a+=n.directedLoops),r-a}outboundDegreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.outboundDegreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.outDegree,a+=n.directedLoops),r-a}degreeWithoutSelfLoops(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.degreeWithoutSelfLoops: could not find the "${t}" node in the graph.`);let r=0,a=0;return this.type!=="directed"&&(r+=n.undirectedDegree,a+=n.undirectedLoops*2),this.type!=="undirected"&&(r+=n.inDegree+n.outDegree,a+=n.directedLoops*2),r-a}source(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.source: could not find the "${t}" edge in the graph.`);return n.source.key}target(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.target: could not find the "${t}" edge in the graph.`);return n.target.key}extremities(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.extremities: could not find the "${t}" edge in the graph.`);return[n.source.key,n.target.key]}opposite(t,n){t=""+t,n=""+n;const r=this._edges.get(n);if(!r)throw new Le(`Graph.opposite: could not find the "${n}" edge in the graph.`);const a=r.source.key,o=r.target.key;if(t===a)return o;if(t===o)return a;throw new Le(`Graph.opposite: the "${t}" node is not attached to the "${n}" edge (${a}, ${o}).`)}hasExtremity(t,n){t=""+t,n=""+n;const r=this._edges.get(t);if(!r)throw new Le(`Graph.hasExtremity: could not find the "${t}" edge in the graph.`);return r.source.key===n||r.target.key===n}isUndirected(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isUndirected: could not find the "${t}" edge in the graph.`);return n.undirected}isDirected(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isDirected: could not find the "${t}" edge in the graph.`);return!n.undirected}isSelfLoop(t){t=""+t;const n=this._edges.get(t);if(!n)throw new Le(`Graph.isSelfLoop: could not find the "${t}" edge in the graph.`);return n.source===n.target}addNode(t,n){return xee(this,t,n).key}mergeNode(t,n){if(n&&!Sn(n))throw new Pe(`Graph.mergeNode: invalid attributes. Expecting an object but got "${n}"`);t=""+t,n=n||{};let r=this._nodes.get(t);return r?(n&&(nn(r.attributes,n),this.emit("nodeAttributesUpdated",{type:"merge",key:t,attributes:r.attributes,data:n})),[t,!1]):(r=new this.NodeDataClass(t,n),this._nodes.set(t,r),this.emit("nodeAdded",{key:t,attributes:n}),[t,!0])}updateNode(t,n){if(n&&typeof n!="function")throw new Pe(`Graph.updateNode: invalid updater function. Expecting a function but got "${n}"`);t=""+t;let r=this._nodes.get(t);if(r){if(n){const o=r.attributes;r.attributes=n(o),this.emit("nodeAttributesUpdated",{type:"replace",key:t,attributes:r.attributes})}return[t,!1]}const a=n?n({}):{};return r=new this.NodeDataClass(t,a),this._nodes.set(t,r),this.emit("nodeAdded",{key:t,attributes:a}),[t,!0]}dropNode(t){t=""+t;const n=this._nodes.get(t);if(!n)throw new Le(`Graph.dropNode: could not find the "${t}" node in the graph.`);let r;if(this.type!=="undirected"){for(const a in n.out){r=n.out[a];do gs(this,r),r=r.next;while(r)}for(const a in n.in){r=n.in[a];do gs(this,r),r=r.next;while(r)}}if(this.type!=="directed")for(const a in n.undirected){r=n.undirected[a];do gs(this,r),r=r.next;while(r)}this._nodes.delete(t),this.emit("nodeDropped",{key:t,attributes:n.attributes})}dropEdge(t){let n;if(arguments.length>1){const r=""+arguments[0],a=""+arguments[1];if(n=kr(this,r,a,this.type),!n)throw new Le(`Graph.dropEdge: could not find the "${r}" -> "${a}" edge in the graph.`)}else if(t=""+t,n=this._edges.get(t),!n)throw new Le(`Graph.dropEdge: could not find the "${t}" edge in the graph.`);return gs(this,n),this}dropDirectedEdge(t,n){if(arguments.length<2)throw new Ze("Graph.dropDirectedEdge: it does not make sense to try and drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new Ze("Graph.dropDirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");t=""+t,n=""+n;const r=kr(this,t,n,"directed");if(!r)throw new Le(`Graph.dropDirectedEdge: could not find a "${t}" -> "${n}" edge in the graph.`);return gs(this,r),this}dropUndirectedEdge(t,n){if(arguments.length<2)throw new Ze("Graph.dropUndirectedEdge: it does not make sense to drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new Ze("Graph.dropUndirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");const r=kr(this,t,n,"undirected");if(!r)throw new Le(`Graph.dropUndirectedEdge: could not find a "${t}" -> "${n}" edge in the graph.`);return gs(this,r),this}clear(){this._edges.clear(),this._nodes.clear(),this._resetInstanceCounters(),this.emit("cleared")}clearEdges(){const t=this._nodes.values();let n;for(;n=t.next(),n.done!==!0;)n.value.clear();this._edges.clear(),this._resetInstanceCounters(),this.emit("edgesCleared")}getAttribute(t){return this._attributes[t]}getAttributes(){return this._attributes}hasAttribute(t){return this._attributes.hasOwnProperty(t)}setAttribute(t,n){return this._attributes[t]=n,this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:t}),this}updateAttribute(t,n){if(typeof n!="function")throw new Pe("Graph.updateAttribute: updater should be a function.");const r=this._attributes[t];return this._attributes[t]=n(r),this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:t}),this}removeAttribute(t){return delete this._attributes[t],this.emit("attributesUpdated",{type:"remove",attributes:this._attributes,name:t}),this}replaceAttributes(t){if(!Sn(t))throw new Pe("Graph.replaceAttributes: provided attributes are not a plain object.");return this._attributes=t,this.emit("attributesUpdated",{type:"replace",attributes:this._attributes}),this}mergeAttributes(t){if(!Sn(t))throw new Pe("Graph.mergeAttributes: provided attributes are not a plain object.");return nn(this._attributes,t),this.emit("attributesUpdated",{type:"merge",attributes:this._attributes,data:t}),this}updateAttributes(t){if(typeof t!="function")throw new Pe("Graph.updateAttributes: provided updater is not a function.");return this._attributes=t(this._attributes),this.emit("attributesUpdated",{type:"update",attributes:this._attributes}),this}updateEachNodeAttributes(t,n){if(typeof t!="function")throw new Pe("Graph.updateEachNodeAttributes: expecting an updater function.");if(n&&!hN(n))throw new Pe("Graph.updateEachNodeAttributes: invalid hints. Expecting an object having the following shape: {attributes?: [string]}");const r=this._nodes.values();let a,o;for(;a=r.next(),a.done!==!0;)o=a.value,o.attributes=t(o.key,o.attributes);this.emit("eachNodeAttributesUpdated",{hints:n||null})}updateEachEdgeAttributes(t,n){if(typeof t!="function")throw new Pe("Graph.updateEachEdgeAttributes: expecting an updater function.");if(n&&!hN(n))throw new Pe("Graph.updateEachEdgeAttributes: invalid hints. Expecting an object having the following shape: {attributes?: [string]}");const r=this._edges.values();let a,o,s,l;for(;a=r.next(),a.done!==!0;)o=a.value,s=o.source,l=o.target,o.attributes=t(o.key,o.attributes,s.key,l.key,s.attributes,l.attributes,o.undirected);this.emit("eachEdgeAttributesUpdated",{hints:n||null})}forEachAdjacencyEntry(t){if(typeof t!="function")throw new Pe("Graph.forEachAdjacencyEntry: expecting a callback.");Cd(!1,!1,!1,this,t)}forEachAdjacencyEntryWithOrphans(t){if(typeof t!="function")throw new Pe("Graph.forEachAdjacencyEntryWithOrphans: expecting a callback.");Cd(!1,!1,!0,this,t)}forEachAssymetricAdjacencyEntry(t){if(typeof t!="function")throw new Pe("Graph.forEachAssymetricAdjacencyEntry: expecting a callback.");Cd(!1,!0,!1,this,t)}forEachAssymetricAdjacencyEntryWithOrphans(t){if(typeof t!="function")throw new Pe("Graph.forEachAssymetricAdjacencyEntryWithOrphans: expecting a callback.");Cd(!1,!0,!0,this,t)}nodes(){return Array.from(this._nodes.keys())}forEachNode(t){if(typeof t!="function")throw new Pe("Graph.forEachNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)a=r.value,t(a.key,a.attributes)}findNode(t){if(typeof t!="function")throw new Pe("Graph.findNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,t(a.key,a.attributes))return a.key}mapNodes(t){if(typeof t!="function")throw new Pe("Graph.mapNode: expecting a callback.");const n=this._nodes.values();let r,a;const o=new Array(this.order);let s=0;for(;r=n.next(),r.done!==!0;)a=r.value,o[s++]=t(a.key,a.attributes);return o}someNode(t){if(typeof t!="function")throw new Pe("Graph.someNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,t(a.key,a.attributes))return!0;return!1}everyNode(t){if(typeof t!="function")throw new Pe("Graph.everyNode: expecting a callback.");const n=this._nodes.values();let r,a;for(;r=n.next(),r.done!==!0;)if(a=r.value,!t(a.key,a.attributes))return!1;return!0}filterNodes(t){if(typeof t!="function")throw new Pe("Graph.filterNodes: expecting a callback.");const n=this._nodes.values();let r,a;const o=[];for(;r=n.next(),r.done!==!0;)a=r.value,t(a.key,a.attributes)&&o.push(a.key);return o}reduceNodes(t,n){if(typeof t!="function")throw new Pe("Graph.reduceNodes: expecting a callback.");if(arguments.length<2)throw new Pe("Graph.reduceNodes: missing initial value. You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.");let r=n;const a=this._nodes.values();let o,s;for(;o=a.next(),o.done!==!0;)s=o.value,r=t(r,s.key,s.attributes);return r}nodeEntries(){const t=this._nodes.values();return{[Symbol.iterator](){return this},next(){const n=t.next();if(n.done)return n;const r=n.value;return{value:{node:r.key,attributes:r.attributes},done:!1}}}}export(){const t=new Array(this._nodes.size);let n=0;this._nodes.forEach((a,o)=>{t[n++]=hee(o,a)});const r=new Array(this._edges.size);return n=0,this._edges.forEach((a,o)=>{r[n++]=mee(this.type,o,a)}),{options:{type:this.type,multi:this.multi,allowSelfLoops:this.allowSelfLoops},attributes:this.getAttributes(),nodes:t,edges:r}}import(t,n=!1){if(t instanceof _t)return t.forEachNode((u,d)=>{n?this.mergeNode(u,d):this.addNode(u,d)}),t.forEachEdge((u,d,p,g,m,b,y)=>{n?y?this.mergeUndirectedEdgeWithKey(u,p,g,d):this.mergeDirectedEdgeWithKey(u,p,g,d):y?this.addUndirectedEdgeWithKey(u,p,g,d):this.addDirectedEdgeWithKey(u,p,g,d)}),this;if(!Sn(t))throw new Pe("Graph.import: invalid argument. Expecting a serialized graph or, alternatively, a Graph instance.");if(t.attributes){if(!Sn(t.attributes))throw new Pe("Graph.import: invalid attributes. Expecting a plain object.");n?this.mergeAttributes(t.attributes):this.replaceAttributes(t.attributes)}let r,a,o,s,l;if(t.nodes){if(o=t.nodes,!Array.isArray(o))throw new Pe("Graph.import: invalid nodes. Expecting an array.");for(r=0,a=o.length;r{const o=nn({},r.attributes);r=new n.NodeDataClass(a,o),n._nodes.set(a,r)}),n}copy(t){if(t=t||{},typeof t.type=="string"&&t.type!==this.type&&t.type!=="mixed")throw new Ze(`Graph.copy: cannot create an incompatible copy from "${this.type}" type to "${t.type}" because this would mean losing information about the current graph.`);if(typeof t.multi=="boolean"&&t.multi!==this.multi&&t.multi!==!0)throw new Ze("Graph.copy: cannot create an incompatible copy by downgrading a multi graph to a simple one because this would mean losing information about the current graph.");if(typeof t.allowSelfLoops=="boolean"&&t.allowSelfLoops!==this.allowSelfLoops&&t.allowSelfLoops!==!0)throw new Ze("Graph.copy: cannot create an incompatible copy from a graph allowing self loops to one that does not because this would mean losing information about the current graph.");const n=this.emptyCopy(t),r=this._edges.values();let a,o;for(;a=r.next(),a.done!==!0;)o=a.value,E4(n,"copy",!1,o.undirected,o.key,o.source.key,o.target.key,nn({},o.attributes));return n}toJSON(){return this.export()}toString(){return"[object Graph]"}inspect(){const t={};this._nodes.forEach((o,s)=>{t[s]=o.attributes});const n={},r={};this._edges.forEach((o,s)=>{const l=o.undirected?"--":"->";let u="",d=o.source.key,p=o.target.key,g;o.undirected&&d>p&&(g=d,d=p,p=g);const m=`(${d})${l}(${p})`;s.startsWith("geid_")?this.multi&&(typeof r[m]>"u"?r[m]=0:r[m]++,u+=`${r[m]}. `):u+=`[${s}]: `,u+=m,n[u]=o.attributes});const a={};for(const o in this)this.hasOwnProperty(o)&&!mN.has(o)&&typeof this[o]!="function"&&typeof o!="symbol"&&(a[o]=this[o]);return a.attributes=this._attributes,a.nodes=t,a.edges=n,Sr(a,"constructor",this.constructor),a}}typeof Symbol<"u"&&(_t.prototype[Symbol.for("nodejs.util.inspect.custom")]=_t.prototype.inspect);Eee.forEach(e=>{["add","merge","update"].forEach(t=>{const n=e.name(t),r=t==="add"?E4:kee;e.generateKey?_t.prototype[n]=function(a,o,s){return r(this,n,!0,(e.type||this.type)==="undirected",null,a,o,s,t==="update")}:_t.prototype[n]=function(a,o,s,l){return r(this,n,!1,(e.type||this.type)==="undirected",a,o,s,l,t==="update")}})});DJ(_t);$J(_t);iee(_t);gee(_t);class w4 extends _t{constructor(t){const n=nn({type:"directed"},t);if("multi"in n&&n.multi!==!1)throw new Pe("DirectedGraph.from: inconsistent indication that the graph should be multi in given options!");if(n.type!=="directed")throw new Pe('DirectedGraph.from: inconsistent "'+n.type+'" type in given options!');super(n)}}class Ac extends _t{constructor(t){const n=nn({type:"undirected"},t);if("multi"in n&&n.multi!==!1)throw new Pe("UndirectedGraph.from: inconsistent indication that the graph should be multi in given options!");if(n.type!=="undirected")throw new Pe('UndirectedGraph.from: inconsistent "'+n.type+'" type in given options!');super(n)}}class x4 extends _t{constructor(t){const 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r.set(bn,n(r.get(bn))),this}fetch(t,n){if(typeof t!="string")throw new Error("key must be a string");this._size=void 0;const r=rb(this._tree,t);let a=r.get(bn);return a===void 0&&r.set(bn,a=n()),a}values(){return new nb(this,P5)}[Symbol.iterator](){return this.entries()}static from(t){const n=new To;for(const[r,a]of t)n.set(r,a);return n}static fromObject(t){return To.from(Object.entries(t))}}const Nf=(e,t,n=[])=>{if(t.length===0||e==null)return[e,n];for(const r of e.keys())if(r!==bn&&t.startsWith(r))return n.push([e,r]),Nf(e.get(r),t.slice(r.length),n);return n.push([e,t]),Nf(void 0,"",n)},rk=(e,t)=>{if(t.length===0||e==null)return e;for(const n of e.keys())if(n!==bn&&t.startsWith(n))return rk(e.get(n),t.slice(n.length))},rb=(e,t)=>{const n=t.length;e:for(let r=0;e&&r{const[n,r]=Nf(e,t);if(n!==void 0){if(n.delete(bn),n.size===0)z5(r);else 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Map,this._dirtCount=0,this._currentVacuum=null,this._enqueuedVacuum=null,this._enqueuedVacuumConditions=ok,this.addFields(this._options.fields)}add(t){const{extractField:n,tokenize:r,processTerm:a,fields:o,idField:s}=this._options,l=n(t,s);if(l==null)throw new Error(`MiniSearch: document does not have ID field "${s}"`);if(this._idToShortId.has(l))throw new Error(`MiniSearch: duplicate ID ${l}`);const u=this.addDocumentId(l);this.saveStoredFields(u,t);for(const d of o){const p=n(t,d);if(p==null)continue;const g=r(p.toString(),d),m=this._fieldIds[d],b=new Set(g).size;this.addFieldLength(u,m,this._documentCount-1,b);for(const y of g){const v=a(y,d);if(Array.isArray(v))for(const x of v)this.addTerm(m,u,x);else v&&this.addTerm(m,u,v)}}}addAll(t){for(const n of t)this.add(n)}addAllAsync(t,n={}){const{chunkSize:r=10}=n,a={chunk:[],promise:Promise.resolve()},{chunk:o,promise:s}=t.reduce(({chunk:l,promise:u},d,p)=>(l.push(d),(p+1)%r===0?{chunk:[],promise:u.then(()=>new Promise(g=>setTimeout(g,0))).then(()=>this.addAll(l))}:{chunk:l,promise:u}),a);return s.then(()=>this.addAll(o))}remove(t){const{tokenize:n,processTerm:r,extractField:a,fields:o,idField:s}=this._options,l=a(t,s);if(l==null)throw new Error(`MiniSearch: document does not have ID field "${s}"`);const u=this._idToShortId.get(l);if(u==null)throw new Error(`MiniSearch: cannot remove document with ID ${l}: it is not in the index`);for(const d of o){const p=a(t,d);if(p==null)continue;const g=n(p.toString(),d),m=this._fieldIds[d],b=new Set(g).size;this.removeFieldLength(u,m,this._documentCount,b);for(const y of g){const v=r(y,d);if(Array.isArray(v))for(const x of v)this.removeTerm(m,u,x);else v&&this.removeTerm(m,u,v)}}this._storedFields.delete(u),this._documentIds.delete(u),this._idToShortId.delete(l),this._fieldLength.delete(u),this._documentCount-=1}removeAll(t){if(t)for(const n of t)this.remove(n);else{if(arguments.length>0)throw new Error("Expected documents to be present. Omit the argument to remove all documents.");this._index=new To,this._documentCount=0,this._documentIds=new Map,this._idToShortId=new Map,this._fieldLength=new Map,this._avgFieldLength=[],this._storedFields=new Map,this._nextId=0}}discard(t){const n=this._idToShortId.get(t);if(n==null)throw new Error(`MiniSearch: cannot discard document with ID ${t}: it is not in the index`);this._idToShortId.delete(t),this._documentIds.delete(n),this._storedFields.delete(n),(this._fieldLength.get(n)||[]).forEach((r,a)=>{this.removeFieldLength(n,a,this._documentCount,r)}),this._fieldLength.delete(n),this._documentCount-=1,this._dirtCount+=1,this.maybeAutoVacuum()}maybeAutoVacuum(){if(this._options.autoVacuum===!1)return;const{minDirtFactor:t,minDirtCount:n,batchSize:r,batchWait:a}=this._options.autoVacuum;this.conditionalVacuum({batchSize:r,batchWait:a},{minDirtCount:n,minDirtFactor:t})}discardAll(t){const n=this._options.autoVacuum;try{this._options.autoVacuum=!1;for(const r of t)this.discard(r)}finally{this._options.autoVacuum=n}this.maybeAutoVacuum()}replace(t){const{idField:n,extractField:r}=this._options,a=r(t,n);this.discard(a),this.add(t)}vacuum(t={}){return this.conditionalVacuum(t)}conditionalVacuum(t,n){return this._currentVacuum?(this._enqueuedVacuumConditions=this._enqueuedVacuumConditions&&n,this._enqueuedVacuum!=null?this._enqueuedVacuum:(this._enqueuedVacuum=this._currentVacuum.then(()=>{const r=this._enqueuedVacuumConditions;return this._enqueuedVacuumConditions=ok,this.performVacuuming(t,r)}),this._enqueuedVacuum)):this.vacuumConditionsMet(n)===!1?Promise.resolve():(this._currentVacuum=this.performVacuuming(t),this._currentVacuum)}async performVacuuming(t,n){const r=this._dirtCount;if(this.vacuumConditionsMet(n)){const a=t.batchSize||ak.batchSize,o=t.batchWait||ak.batchWait;let s=1;for(const[l,u]of this._index){for(const[d,p]of u)for(const[g]of p)this._documentIds.has(g)||(p.size<=1?u.delete(d):p.delete(g));this._index.get(l).size===0&&this._index.delete(l),s%a===0&&await new Promise(d=>setTimeout(d,o)),s+=1}this._dirtCount-=r}await null,this._currentVacuum=this._enqueuedVacuum,this._enqueuedVacuum=null}vacuumConditionsMet(t){if(t==null)return!0;let{minDirtCount:n,minDirtFactor:r}=t;return n=n||ib.minDirtCount,r=r||ib.minDirtFactor,this.dirtCount>=n&&this.dirtFactor>=r}get isVacuuming(){return this._currentVacuum!=null}get dirtCount(){return this._dirtCount}get dirtFactor(){return this._dirtCount/(1+this._documentCount+this._dirtCount)}has(t){return this._idToShortId.has(t)}getStoredFields(t){const n=this._idToShortId.get(t);if(n!=null)return this._storedFields.get(n)}search(t,n={}){const{searchOptions:r}=this._options,a={...r,...n},o=this.executeQuery(t,n),s=[];for(const[l,{score:u,terms:d,match:p}]of o){const g=d.length||1,m={id:this._documentIds.get(l),score:u*g,terms:Object.keys(p),queryTerms:d,match:p};Object.assign(m,this._storedFields.get(l)),(a.filter==null||a.filter(m))&&s.push(m)}return t===Co.wildcard&&a.boostDocument==null||s.sort(NO),s}autoSuggest(t,n={}){n={...this._options.autoSuggestOptions,...n};const r=new Map;for(const{score:o,terms:s}of this.search(t,n)){const l=s.join(" "),u=r.get(l);u!=null?(u.score+=o,u.count+=1):r.set(l,{score:o,terms:s,count:1})}const a=[];for(const[o,{score:s,terms:l,count:u}]of r)a.push({suggestion:o,terms:l,score:s/u});return a.sort(NO),a}get documentCount(){return this._documentCount}get termCount(){return this._index.size}static loadJSON(t,n){if(n==null)throw new Error("MiniSearch: loadJSON should be given the same options used when serializing the index");return this.loadJS(JSON.parse(t),n)}static async loadJSONAsync(t,n){if(n==null)throw new Error("MiniSearch: loadJSON should be given the same options used when serializing the index");return this.loadJSAsync(JSON.parse(t),n)}static getDefault(t){if(ob.hasOwnProperty(t))return ab(ob,t);throw new Error(`MiniSearch: unknown option "${t}"`)}static loadJS(t,n){const{index:r,documentIds:a,fieldLength:o,storedFields:s,serializationVersion:l}=t,u=this.instantiateMiniSearch(t,n);u._documentIds=Pd(a),u._fieldLength=Pd(o),u._storedFields=Pd(s);for(const[d,p]of u._documentIds)u._idToShortId.set(p,d);for(const[d,p]of r){const g=new Map;for(const m of Object.keys(p)){let b=p[m];l===1&&(b=b.ds),g.set(parseInt(m,10),Pd(b))}u._index.set(d,g)}return u}static async loadJSAsync(t,n){const{index:r,documentIds:a,fieldLength:o,storedFields:s,serializationVersion:l}=t,u=this.instantiateMiniSearch(t,n);u._documentIds=await Fd(a),u._fieldLength=await Fd(o),u._storedFields=await Fd(s);for(const[p,g]of u._documentIds)u._idToShortId.set(g,p);let d=0;for(const[p,g]of r){const m=new Map;for(const b of Object.keys(g)){let y=g[b];l===1&&(y=y.ds),m.set(parseInt(b,10),await Fd(y))}++d%1e3===0&&await U5(0),u._index.set(p,m)}return u}static instantiateMiniSearch(t,n){const{documentCount:r,nextId:a,fieldIds:o,averageFieldLength:s,dirtCount:l,serializationVersion:u}=t;if(u!==1&&u!==2)throw new Error("MiniSearch: cannot deserialize an index created with an incompatible version");const d=new Co(n);return d._documentCount=r,d._nextId=a,d._idToShortId=new Map,d._fieldIds=o,d._avgFieldLength=s,d._dirtCount=l||0,d._index=new To,d}executeQuery(t,n={}){if(t===Co.wildcard)return this.executeWildcardQuery(n);if(typeof t!="string"){const m={...n,...t,queries:void 0},b=t.queries.map(y=>this.executeQuery(y,m));return this.combineResults(b,m.combineWith)}const{tokenize:r,processTerm:a,searchOptions:o}=this._options,s={tokenize:r,processTerm:a,...o,...n},{tokenize:l,processTerm:u}=s,g=l(t).flatMap(m=>u(m)).filter(m=>!!m).map(Rae(s)).map(m=>this.executeQuerySpec(m,s));return this.combineResults(g,s.combineWith)}executeQuerySpec(t,n){const r={...this._options.searchOptions,...n},a=(r.fields||this._options.fields).reduce((v,x)=>({...v,[x]:ab(r.boost,x)||1}),{}),{boostDocument:o,weights:s,maxFuzzy:l,bm25:u}=r,{fuzzy:d,prefix:p}={...CO.weights,...s},g=this._index.get(t.term),m=this.termResults(t.term,t.term,1,t.termBoost,g,a,o,u);let b,y;if(t.prefix&&(b=this._index.atPrefix(t.term)),t.fuzzy){const v=t.fuzzy===!0?.2:t.fuzzy,x=v<1?Math.min(l,Math.round(t.term.length*v)):v;x&&(y=this._index.fuzzyGet(t.term,x))}if(b)for(const[v,x]of b){const T=v.length-t.term.length;if(!T)continue;y==null||y.delete(v);const k=p*v.length/(v.length+.3*T);this.termResults(t.term,v,k,t.termBoost,x,a,o,u,m)}if(y)for(const v of y.keys()){const[x,T]=y.get(v);if(!T)continue;const k=d*v.length/(v.length+T);this.termResults(t.term,v,k,t.termBoost,x,a,o,u,m)}return m}executeWildcardQuery(t){const n=new Map,r={...this._options.searchOptions,...t};for(const[a,o]of this._documentIds){const 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b.keys()){if(!this._documentIds.has(x)){this.removeTerm(m,x,n),y-=1;continue}const T=l?l(this._documentIds.get(x),n,this._storedFields.get(x)):1;if(!T)continue;const k=b.get(x),R=this._fieldLength.get(x)[m],O=Aae(k,y,this._documentCount,R,v,u),N=r*a*g*T*O,C=d.get(x);if(C){C.score+=N,_ae(C.terms,t);const _=ab(C.match,n);_?_.push(p):C.match[n]=[p]}else d.set(x,{score:N,terms:[t],match:{[n]:[p]}})}}return d}addTerm(t,n,r){const a=this._index.fetch(r,OO);let o=a.get(t);if(o==null)o=new Map,o.set(n,1),a.set(t,o);else{const s=o.get(n);o.set(n,(s||0)+1)}}removeTerm(t,n,r){if(!this._index.has(r)){this.warnDocumentChanged(n,t,r);return}const a=this._index.fetch(r,OO),o=a.get(t);o==null||o.get(n)==null?this.warnDocumentChanged(n,t,r):o.get(n)<=1?o.size<=1?a.delete(t):o.delete(n):o.set(n,o.get(n)-1),this._index.get(r).size===0&&this._index.delete(r)}warnDocumentChanged(t,n,r){for(const a of Object.keys(this._fieldIds))if(this._fieldIds[a]===n){this._options.logger("warn",`MiniSearch: document 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t)this.discard(r)}finally{this._options.autoVacuum=n}this.maybeAutoVacuum()}replace(t){const{idField:n,extractField:r}=this._options,a=r(t,n);this.discard(a),this.add(t)}vacuum(t={}){return this.conditionalVacuum(t)}conditionalVacuum(t,n){return this._currentVacuum?(this._enqueuedVacuumConditions=this._enqueuedVacuumConditions&&n,this._enqueuedVacuum!=null?this._enqueuedVacuum:(this._enqueuedVacuum=this._currentVacuum.then(()=>{const r=this._enqueuedVacuumConditions;return this._enqueuedVacuumConditions=ok,this.performVacuuming(t,r)}),this._enqueuedVacuum)):this.vacuumConditionsMet(n)===!1?Promise.resolve():(this._currentVacuum=this.performVacuuming(t),this._currentVacuum)}async performVacuuming(t,n){const r=this._dirtCount;if(this.vacuumConditionsMet(n)){const a=t.batchSize||ak.batchSize,o=t.batchWait||ak.batchWait;let s=1;for(const[l,u]of this._index){for(const[d,p]of u)for(const[g]of 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1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/__init__.py b/lightrag/api/__init__.py index 10061c50..fb70454b 100644 --- a/lightrag/api/__init__.py +++ b/lightrag/api/__init__.py @@ -1 +1 @@ -__api_version__ = "0146" +__api_version__ = "0147" From 1e792579764128a954f16a13c3310147b5985d6f Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 11 Apr 2025 17:03:46 +0800 Subject: [PATCH 10/19] Update README --- lightrag/api/README-zh.md | 4 ++++ lightrag/api/README.md | 2 ++ 2 files changed, 6 insertions(+) diff --git a/lightrag/api/README-zh.md b/lightrag/api/README-zh.md index ba38c24b..f6db7c88 100644 --- a/lightrag/api/README-zh.md +++ b/lightrag/api/README-zh.md @@ -102,6 +102,10 @@ lightrag-gunicorn --workers 4 - `--log-level`：日志级别（默认：INFO） - --input-dir：指定要扫描文档的目录（默认：./input） +> ** 要求将.env文件置于启动目录中是经过特意设计的**。 这样做的目的是支持用户同时启动多个LightRAG实例，并为不同实例配置不同的.env文件。 + +> **修改.env文件后，您需要重新打开终端以使新设置生效**。 这是因为每次启动时，LightRAG Server会将.env文件中的环境变量加载至系统环境变量，且系统环境变量的设置具有更高优先级。 + ### 启动时自动扫描 当使用 `--auto-scan-at-startup` 参数启动任何服务器时，系统将自动： diff --git a/lightrag/api/README.md b/lightrag/api/README.md index 2377b737..1d05ba78 100644 --- a/lightrag/api/README.md +++ b/lightrag/api/README.md @@ -106,6 +106,8 @@ Here are some commonly used startup parameters: > The requirement for the .env file to be in the startup directory is intentionally designed this way. The purpose is to support users in launching multiple LightRAG instances simultaneously, allowing different .env files for different instances. +> **After changing the .env file, you need to open a new terminal to make the new settings take effect.** This because the LightRAG Server will load the environment variables from .env into the system environment variables each time it starts, and LightRAG Server will prioritize the settings in the system environment variables. + ### Auto scan on startup When starting any of the servers with the `--auto-scan-at-startup` parameter, the system will automatically: From c084358dc9e93d01803f11a2b0186b6aaa56e6a6 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 11 Apr 2025 18:34:03 +0800 Subject: [PATCH 11/19] Improved graph storage documentation and methods - Added detailed docstrings for graph methods - Added bulk node/edge removal methods --- lightrag/base.py | 132 +++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 116 insertions(+), 16 deletions(-) diff --git a/lightrag/base.py b/lightrag/base.py index e2b0fd32..1264489e 100644 --- a/lightrag/base.py +++ b/lightrag/base.py @@ -12,7 +12,6 @@ from typing import ( TypeVar, Callable, ) -import numpy as np from .utils import EmbeddingFunc from .types import KnowledgeGraph @@ -281,63 +280,164 @@ class BaseGraphStorage(StorageNameSpace, ABC): @abstractmethod async def has_node(self, node_id: str) -> bool: - """Check if an edge exists in the graph.""" + """Check if a node exists in the graph. + + Args: + node_id: The ID of the node to check + + Returns: + True if the node exists, False otherwise + """ @abstractmethod async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: - """Get the degree of a node.""" + """Check if an edge exists between two nodes. + + Args: + source_node_id: The ID of the source node + target_node_id: The ID of the target node + + Returns: + True if the edge exists, False otherwise + """ @abstractmethod async def node_degree(self, node_id: str) -> int: - """Get the degree of an edge.""" + """Get the degree (number of connected edges) of a node. + + Args: + node_id: The ID of the node + + Returns: + The number of edges connected to the node + """ @abstractmethod async def edge_degree(self, src_id: str, tgt_id: str) -> int: - """Get a node by its id.""" + """Get the total degree of an edge (sum of degrees of its source and target nodes). + + Args: + src_id: The ID of the source node + tgt_id: The ID of the target node + + Returns: + The sum of the degrees of the source and target nodes + """ @abstractmethod async def get_node(self, node_id: str) -> dict[str, str] | None: - """Get node by its label identifier, return only node properties""" + """Get node by its ID, returning only node properties. + + Args: + node_id: The ID of the node to retrieve + + Returns: + A dictionary of node properties if found, None otherwise + """ @abstractmethod async def get_edge( self, source_node_id: str, target_node_id: str ) -> dict[str, str] | None: - """Get edge properties between two nodes""" + """Get edge properties between two nodes. + + Args: + source_node_id: The ID of the source node + target_node_id: The ID of the target node + + Returns: + A dictionary of edge properties if found, None otherwise + """ @abstractmethod async def get_node_edges(self, source_node_id: str) -> list[tuple[str, str]] | None: - """Upsert a node into the graph.""" + """Get all edges connected to a node. + + Args: + source_node_id: The ID of the node to get edges for + + Returns: + A list of (source_id, target_id) tuples representing edges, + or None if the node doesn't exist + """ @abstractmethod async def upsert_node(self, node_id: str, node_data: dict[str, str]) -> None: - """Upsert an edge into the graph.""" + """Insert a new node or update an existing node in the graph. + + Importance notes for in-memory storage: + 1. Changes will be persisted to disk during the next index_done_callback + 2. Only one process should updating the storage at a time before index_done_callback, + KG-storage-log should be used to avoid data corruption + + Args: + node_id: The ID of the node to insert or update + node_data: A dictionary of node properties + """ @abstractmethod async def upsert_edge( self, source_node_id: str, target_node_id: str, edge_data: dict[str, str] ) -> None: + """Insert a new edge or update an existing edge in the graph. + + Importance notes for in-memory storage: + 1. Changes will be persisted to disk during the next index_done_callback + 2. Only one process should updating the storage at a time before index_done_callback, + KG-storage-log should be used to avoid data corruption + + Args: + source_node_id: The ID of the source node + target_node_id: The ID of the target node + edge_data: A dictionary of edge properties + """ + + @abstractmethod + async def delete_node(self, node_id: str) -> None: """Delete a node from the graph. Importance notes for in-memory storage: 1. Changes will be persisted to disk during the next index_done_callback 2. Only one process should updating the storage at a time before index_done_callback, KG-storage-log should be used to avoid data corruption + + Args: + node_id: The ID of the node to delete """ @abstractmethod - async def delete_node(self, node_id: str) -> None: - """Embed nodes using an algorithm.""" + async def remove_nodes(self, nodes: list[str]): + """Delete multiple nodes + + Importance notes: + 1. Changes will be persisted to disk during the next index_done_callback + 2. Only one process should updating the storage at a time before index_done_callback, + KG-storage-log should be used to avoid data corruption + + Args: + nodes: List of node IDs to be deleted + """ @abstractmethod - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - """Get all labels in the graph.""" + async def remove_edges(self, edges: list[tuple[str, str]]): + """Delete multiple edges + + Importance notes: + 1. Changes will be persisted to disk during the next index_done_callback + 2. Only one process should updating the storage at a time before index_done_callback, + KG-storage-log should be used to avoid data corruption + + Args: + edges: List of edges to be deleted, each edge is a (source, target) tuple + """ @abstractmethod async def get_all_labels(self) -> list[str]: - """Get a knowledge graph of a node.""" + """Get all labels in the graph. + + Returns: + A list of all node labels in the graph, sorted alphabetically + """ @abstractmethod async def get_knowledge_graph( From 83353ab9a619e921fb71a8b62070acfd6f773b49 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 11 Apr 2025 18:34:48 +0800 Subject: [PATCH 12/19] Remove unused node embedding functionality from graph storage - Deleted embed_nodes() method implementations --- lightrag/kg/age_impl.py | 16 ----------- lightrag/kg/gremlin_impl.py | 24 ---------------- lightrag/kg/mongo_impl.py | 14 --------- lightrag/kg/neo4j_impl.py | 8 +----- lightrag/kg/networkx_impl.py | 56 +----------------------------------- lightrag/kg/postgres_impl.py | 18 ------------ lightrag/kg/tidb_impl.py | 7 ----- 7 files changed, 2 insertions(+), 141 deletions(-) diff --git a/lightrag/kg/age_impl.py b/lightrag/kg/age_impl.py index b744ae1e..d6a8c64a 100644 --- a/lightrag/kg/age_impl.py +++ b/lightrag/kg/age_impl.py @@ -6,7 +6,6 @@ import sys from contextlib import asynccontextmanager from dataclasses import dataclass from typing import Any, Dict, List, NamedTuple, Optional, Union, final -import numpy as np import pipmaster as pm from lightrag.types import KnowledgeGraph, KnowledgeGraphNode, KnowledgeGraphEdge @@ -668,21 +667,6 @@ class AGEStorage(BaseGraphStorage): logger.error(f"Error during edge deletion: {str(e)}") raise - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - """Embed nodes using the specified algorithm - - Args: - algorithm: Name of the embedding algorithm - - Returns: - tuple: (embedding matrix, list of node identifiers) - """ - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - async def get_all_labels(self) -> list[str]: """Get all node labels in the database diff --git a/lightrag/kg/gremlin_impl.py b/lightrag/kg/gremlin_impl.py index e27c561e..486eb224 100644 --- a/lightrag/kg/gremlin_impl.py +++ b/lightrag/kg/gremlin_impl.py @@ -6,9 +6,6 @@ import pipmaster as pm from dataclasses import dataclass from typing import Any, Dict, List, final -import numpy as np - - from tenacity import ( retry, retry_if_exception_type, @@ -419,27 +416,6 @@ class GremlinStorage(BaseGraphStorage): logger.error(f"Error during node deletion: {str(e)}") raise - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - """ - Embed nodes using the specified algorithm. - Currently, only node2vec is supported but never called. - - Args: - algorithm: The name of the embedding algorithm to use - - Returns: - A tuple of (embeddings, node_ids) - - Raises: - NotImplementedError: If the specified algorithm is not supported - ValueError: If the algorithm is not supported - """ - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - async def get_all_labels(self) -> list[str]: """ Get all node entity_names in the graph diff --git a/lightrag/kg/mongo_impl.py b/lightrag/kg/mongo_impl.py index dd4f7447..bc4bb240 100644 --- a/lightrag/kg/mongo_impl.py +++ b/lightrag/kg/mongo_impl.py @@ -663,20 +663,6 @@ class MongoGraphStorage(BaseGraphStorage): # Remove the node doc await self.collection.delete_one({"_id": node_id}) - # - # ------------------------------------------------------------------------- - # EMBEDDINGS (NOT IMPLEMENTED) - # ------------------------------------------------------------------------- - # - - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - """ - Placeholder for demonstration, raises NotImplementedError. - """ - raise NotImplementedError("Node embedding is not used in lightrag.") - # # ------------------------------------------------------------------------- # QUERY diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index d468427a..51284562 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -2,8 +2,7 @@ import inspect import os import re from dataclasses import dataclass -from typing import Any, final -import numpy as np +from typing import final import configparser @@ -1126,11 +1125,6 @@ class Neo4JStorage(BaseGraphStorage): logger.error(f"Error during edge deletion: {str(e)}") raise - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - raise NotImplementedError - async def drop(self) -> dict[str, str]: """Drop all data from storage and clean up resources diff --git a/lightrag/kg/networkx_impl.py b/lightrag/kg/networkx_impl.py index e746af2e..0841d2ef 100644 --- a/lightrag/kg/networkx_impl.py +++ b/lightrag/kg/networkx_impl.py @@ -1,7 +1,6 @@ import os from dataclasses import dataclass -from typing import Any, final -import numpy as np +from typing import final from lightrag.types import KnowledgeGraph, KnowledgeGraphNode, KnowledgeGraphEdge from lightrag.utils import logger @@ -16,7 +15,6 @@ if not pm.is_installed("graspologic"): pm.install("graspologic") import networkx as nx -from graspologic import embed from .shared_storage import ( get_storage_lock, get_update_flag, @@ -42,40 +40,6 @@ class NetworkXStorage(BaseGraphStorage): ) nx.write_graphml(graph, file_name) - # TODO：deprecated, remove later - @staticmethod - def _stabilize_graph(graph: nx.Graph) -> nx.Graph: - """Refer to https://github.com/microsoft/graphrag/index/graph/utils/stable_lcc.py - Ensure an undirected graph with the same relationships will always be read the same way. - """ - fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() - - sorted_nodes = graph.nodes(data=True) - sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) - - fixed_graph.add_nodes_from(sorted_nodes) - edges = list(graph.edges(data=True)) - - if not graph.is_directed(): - - def _sort_source_target(edge): - source, target, edge_data = edge - if source > target: - temp = source - source = target - target = temp - return source, target, edge_data - - edges = [_sort_source_target(edge) for edge in edges] - - def _get_edge_key(source: Any, target: Any) -> str: - return f"{source} -> {target}" - - edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) - - fixed_graph.add_edges_from(edges) - return fixed_graph - def __post_init__(self): self._graphml_xml_file = os.path.join( self.global_config["working_dir"], f"graph_{self.namespace}.graphml" @@ -191,24 +155,6 @@ class NetworkXStorage(BaseGraphStorage): else: logger.warning(f"Node {node_id} not found in the graph for deletion.") - # TODO: NOT USED - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - - # TODO: NOT USED - async def _node2vec_embed(self): - graph = await self._get_graph() - embeddings, nodes = embed.node2vec_embed( - graph, - **self.global_config["node2vec_params"], - ) - nodes_ids = [graph.nodes[node_id]["id"] for node_id in nodes] - return embeddings, nodes_ids - async def remove_nodes(self, nodes: list[str]): """Delete multiple nodes diff --git a/lightrag/kg/postgres_impl.py b/lightrag/kg/postgres_impl.py index 1ba4ada5..388ea3a1 100644 --- a/lightrag/kg/postgres_impl.py +++ b/lightrag/kg/postgres_impl.py @@ -1485,24 +1485,6 @@ class PGGraphStorage(BaseGraphStorage): labels = [result["label"] for result in results] return labels - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - """ - Generate node embeddings using the specified algorithm. - - Args: - algorithm (str): The name of the embedding algorithm to use. - - Returns: - tuple[np.ndarray[Any, Any], list[str]]: A tuple containing the embeddings and the corresponding node IDs. - """ - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Unsupported embedding algorithm: {algorithm}") - - embed_func = self._node_embed_algorithms[algorithm] - return await embed_func() - async def get_knowledge_graph( self, node_label: str, diff --git a/lightrag/kg/tidb_impl.py b/lightrag/kg/tidb_impl.py index e57357de..33ad1567 100644 --- a/lightrag/kg/tidb_impl.py +++ b/lightrag/kg/tidb_impl.py @@ -800,13 +800,6 @@ class TiDBGraphStorage(BaseGraphStorage): } await self.db.execute(merge_sql, data) - async def embed_nodes( - self, algorithm: str - ) -> tuple[np.ndarray[Any, Any], list[str]]: - if algorithm not in self._node_embed_algorithms: - raise ValueError(f"Node embedding algorithm {algorithm} not supported") - return await self._node_embed_algorithms[algorithm]() - # Query async def has_node(self, node_id: str) -> bool: From 745301ea133ec916142945a9e330092314503891 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 11 Apr 2025 18:41:45 +0800 Subject: [PATCH 13/19] Deleted node2vec implementation --- lightrag/kg/age_impl.py | 8 -------- lightrag/kg/gremlin_impl.py | 8 -------- lightrag/kg/neo4j_impl.py | 8 -------- lightrag/kg/networkx_impl.py | 4 ---- lightrag/kg/postgres_impl.py | 6 ------ lightrag/lightrag.py | 25 ------------------------- 6 files changed, 59 deletions(-) diff --git a/lightrag/kg/age_impl.py b/lightrag/kg/age_impl.py index d6a8c64a..097b7b0b 100644 --- a/lightrag/kg/age_impl.py +++ b/lightrag/kg/age_impl.py @@ -88,11 +88,6 @@ class AGEStorage(BaseGraphStorage): return None - def __post_init__(self): - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - async def close(self): if self._driver: await self._driver.close() @@ -592,9 +587,6 @@ class AGEStorage(BaseGraphStorage): logger.error("Error during edge upsert: {%s}", e) raise - async def _node2vec_embed(self): - print("Implemented but never called.") - @asynccontextmanager async def _get_pool_connection(self, timeout: Optional[float] = None): """Workaround for a psycopg_pool bug""" diff --git a/lightrag/kg/gremlin_impl.py b/lightrag/kg/gremlin_impl.py index 486eb224..32dbcc4e 100644 --- a/lightrag/kg/gremlin_impl.py +++ b/lightrag/kg/gremlin_impl.py @@ -69,11 +69,6 @@ class GremlinStorage(BaseGraphStorage): transport_factory=lambda: AiohttpTransport(call_from_event_loop=True), ) - def __post_init__(self): - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - async def close(self): if self._driver: self._driver.close() @@ -389,9 +384,6 @@ class GremlinStorage(BaseGraphStorage): logger.error("Error during edge upsert: {%s}", e) raise - async def _node2vec_embed(self): - print("Implemented but never called.") - async def delete_node(self, node_id: str) -> None: """Delete a node with the specified entity_name diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 51284562..da6a94cb 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -50,11 +50,6 @@ class Neo4JStorage(BaseGraphStorage): ) self._driver = None - def __post_init__(self): - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - async def initialize(self): URI = os.environ.get("NEO4J_URI", config.get("neo4j", "uri", fallback=None)) USERNAME = os.environ.get( @@ -634,9 +629,6 @@ class Neo4JStorage(BaseGraphStorage): logger.error(f"Error during edge upsert: {str(e)}") raise - async def _node2vec_embed(self): - print("Implemented but never called.") - async def get_knowledge_graph( self, node_label: str, diff --git a/lightrag/kg/networkx_impl.py b/lightrag/kg/networkx_impl.py index 0841d2ef..50b3d34a 100644 --- a/lightrag/kg/networkx_impl.py +++ b/lightrag/kg/networkx_impl.py @@ -58,10 +58,6 @@ class NetworkXStorage(BaseGraphStorage): logger.info("Created new empty graph") self._graph = preloaded_graph or nx.Graph() - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } - async def initialize(self): """Initialize storage data""" # Get the update flag for cross-process update notification diff --git a/lightrag/kg/postgres_impl.py b/lightrag/kg/postgres_impl.py index 388ea3a1..c067a0d0 100644 --- a/lightrag/kg/postgres_impl.py +++ b/lightrag/kg/postgres_impl.py @@ -1021,9 +1021,6 @@ class PGGraphQueryException(Exception): class PGGraphStorage(BaseGraphStorage): def __post_init__(self): self.graph_name = self.namespace or os.environ.get("AGE_GRAPH_NAME", "lightrag") - self._node_embed_algorithms = { - "node2vec": self._node2vec_embed, - } self.db: PostgreSQLDB | None = None async def initialize(self): @@ -1396,9 +1393,6 @@ class PGGraphStorage(BaseGraphStorage): ) raise - async def _node2vec_embed(self): - print("Implemented but never called.") - async def delete_node(self, node_id: str) -> None: """ Delete a node from the graph. diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index 5647799b..cd801305 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -155,31 +155,6 @@ class LightRAG: Defaults to `chunking_by_token_size` if not specified. """ - # Node embedding - # --- - - node_embedding_algorithm: str = field(default="node2vec") - """Algorithm used for node embedding in knowledge graphs.""" - - node2vec_params: dict[str, int] = field( - default_factory=lambda: { - "dimensions": 1536, - "num_walks": 10, - "walk_length": 40, - "window_size": 2, - "iterations": 3, - "random_seed": 3, - } - ) - """Configuration for the node2vec embedding algorithm: - - dimensions: Number of dimensions for embeddings. - - num_walks: Number of random walks per node. - - walk_length: Number of steps per random walk. - - window_size: Context window size for training. - - iterations: Number of iterations for training. - - random_seed: Seed value for reproducibility. - """ - # Embedding # --- From 0eed5eb7185bf326d91c571d1487aeb9bac74a8b Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 19:26:02 +0800 Subject: [PATCH 14/19] feat: implement entity/relation name and description normalization - Remove spaces between Chinese characters - Remove spaces between Chinese and English/numbers - Preserve spaces within English text and numbers - Replace Chinese parentheses with English parentheses - Replace Chinese dash with English dash --- lightrag/operate.py | 13 +++++++++++++ lightrag/utils.py | 37 +++++++++++++++++++++++++++++++++++++ 2 files changed, 50 insertions(+) diff --git a/lightrag/operate.py b/lightrag/operate.py index 02d9c85e..ceec7b61 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -16,6 +16,7 @@ from .utils import ( encode_string_by_tiktoken, is_float_regex, list_of_list_to_csv, + normalize_extracted_info, pack_user_ass_to_openai_messages, split_string_by_multi_markers, truncate_list_by_token_size, @@ -163,6 +164,9 @@ async def _handle_single_entity_extraction( ) return None + # Normalize entity name + entity_name = normalize_extracted_info(entity_name) + # Clean and validate entity type entity_type = clean_str(record_attributes[2]).strip('"') if not entity_type.strip() or entity_type.startswith('("'): @@ -173,6 +177,8 @@ async def _handle_single_entity_extraction( # Clean and validate description entity_description = clean_str(record_attributes[3]).strip('"') + entity_description = normalize_extracted_info(entity_description) + if not entity_description.strip(): logger.warning( f"Entity extraction error: empty description for entity '{entity_name}' of type '{entity_type}'" @@ -198,7 +204,14 @@ async def _handle_single_relationship_extraction( # add this record as edge source = clean_str(record_attributes[1]).strip('"') target = clean_str(record_attributes[2]).strip('"') + + # Normalize source and target entity names + source = normalize_extracted_info(source) + target = normalize_extracted_info(target) + edge_description = clean_str(record_attributes[3]).strip('"') + edge_description = normalize_extracted_info(edge_description) + edge_keywords = clean_str(record_attributes[4]).strip('"') edge_source_id = chunk_key weight = ( diff --git a/lightrag/utils.py b/lightrag/utils.py index fd188498..6b9b07fa 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -1006,6 +1006,43 @@ def get_content_summary(content: str, max_length: int = 250) -> str: return content[:max_length] + "..." +def normalize_extracted_info(name: str) -> str: + """Normalize entity/relation names and description with the following rules: + 1. Remove spaces between Chinese characters + 2. Remove spaces between Chinese characters and English letters/numbers + 3. Preserve spaces within English text and numbers + 4. Replace Chinese parentheses with English parentheses + 5. Replace Chinese dash with English dash + + Args: + name: Entity name to normalize + + Returns: + Normalized entity name + """ + # Replace Chinese parentheses with English parentheses + name = name.replace("（", "(").replace("）", ")") + + # Replace Chinese dash with English dash + name = name.replace("—", "-").replace("－", "-") + + # Use regex to remove spaces between Chinese characters + # Regex explanation: + # (?<=[\u4e00-\u9fa5]): Positive lookbehind for Chinese character + # \s+: One or more whitespace characters + # (?=[\u4e00-\u9fa5]): Positive lookahead for Chinese character + name = re.sub(r"(?<=[\u4e00-\u9fa5])\s+(?=[\u4e00-\u9fa5])", "", name) + + # Remove spaces between Chinese and English/numbers + name = re.sub(r"(?<=[\u4e00-\u9fa5])\s+(?=[a-zA-Z0-9])", "", name) + name = re.sub(r"(?<=[a-zA-Z0-9])\s+(?=[\u4e00-\u9fa5])", "", name) + + # Remove English quotation marks from the beginning and end + name = name.strip('"').strip("'") + + return name + + def clean_text(text: str) -> str: """Clean text by removing null bytes (0x00) and whitespace From 2ac66c3531f95c380816a32f845a23e864fb6c43 Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 20:45:41 +0800 Subject: [PATCH 15/19] Remove chinese quotes in entity name --- lightrag/operate.py | 18 +++++++++--------- lightrag/utils.py | 9 ++++++++- 2 files changed, 17 insertions(+), 10 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index ceec7b61..8c6688aa 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -165,7 +165,7 @@ async def _handle_single_entity_extraction( return None # Normalize entity name - entity_name = normalize_extracted_info(entity_name) + entity_name = normalize_extracted_info(entity_name, is_entity=True) # Clean and validate entity type entity_type = clean_str(record_attributes[2]).strip('"') @@ -176,7 +176,7 @@ async def _handle_single_entity_extraction( return None # Clean and validate description - entity_description = clean_str(record_attributes[3]).strip('"') + entity_description = clean_str(record_attributes[3]) entity_description = normalize_extracted_info(entity_description) if not entity_description.strip(): @@ -202,20 +202,20 @@ async def _handle_single_relationship_extraction( if len(record_attributes) < 5 or record_attributes[0] != '"relationship"': return None # add this record as edge - source = clean_str(record_attributes[1]).strip('"') - target = clean_str(record_attributes[2]).strip('"') + source = clean_str(record_attributes[1]) + target = clean_str(record_attributes[2]) # Normalize source and target entity names - source = normalize_extracted_info(source) - target = normalize_extracted_info(target) + source = normalize_extracted_info(source, is_entity=True) + target = normalize_extracted_info(target, is_entity=True) - edge_description = clean_str(record_attributes[3]).strip('"') + edge_description = clean_str(record_attributes[3]) edge_description = normalize_extracted_info(edge_description) - edge_keywords = clean_str(record_attributes[4]).strip('"') + edge_keywords = clean_str(record_attributes[4]).strip('"').strip("'") edge_source_id = chunk_key weight = ( - float(record_attributes[-1].strip('"')) + float(record_attributes[-1].strip('"').strip("'")) if is_float_regex(record_attributes[-1]) else 1.0 ) diff --git a/lightrag/utils.py b/lightrag/utils.py index 6b9b07fa..8473ea81 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -1006,7 +1006,7 @@ def get_content_summary(content: str, max_length: int = 250) -> str: return content[:max_length] + "..." -def normalize_extracted_info(name: str) -> str: +def normalize_extracted_info(name: str, is_entity = False) -> str: """Normalize entity/relation names and description with the following rules: 1. Remove spaces between Chinese characters 2. Remove spaces between Chinese characters and English letters/numbers @@ -1040,6 +1040,13 @@ def normalize_extracted_info(name: str) -> str: # Remove English quotation marks from the beginning and end name = name.strip('"').strip("'") + if is_entity: + # remove Chinese quotes + name = name.replace("“", "").replace("”", "").replace("‘", "").replace("’", "") + # remove English queotes in and around chinese + name = re.sub(r"['\"]+(?=[\u4e00-\u9fa5])", "", name) + name = re.sub(r"(?<=[\u4e00-\u9fa5])['\"]+", "", name) + return name From 6174554c5835e1ff0e31246aa419d33dab87fd1c Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 20:50:21 +0800 Subject: [PATCH 16/19] Fix linting --- lightrag/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/utils.py b/lightrag/utils.py index 8473ea81..43d82196 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -1006,7 +1006,7 @@ def get_content_summary(content: str, max_length: int = 250) -> str: return content[:max_length] + "..." -def normalize_extracted_info(name: str, is_entity = False) -> str: +def normalize_extracted_info(name: str, is_entity=False) -> str: """Normalize entity/relation names and description with the following rules: 1. Remove spaces between Chinese characters 2. Remove spaces between Chinese characters and English letters/numbers From 7fd3053e61133d94e4e69cbe58a69884c10f271f Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 21:10:36 +0800 Subject: [PATCH 17/19] Update log message --- lightrag/operate.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 8c6688aa..80dd0f33 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -655,7 +655,7 @@ async def extract_entities( processed_chunks += 1 entities_count = len(maybe_nodes) relations_count = len(maybe_edges) - log_message = f"Chk {processed_chunks}/{total_chunks}: extracted {entities_count} Ent + {relations_count} Rel (deduplicated)" + log_message = f"Chk {processed_chunks}/{total_chunks}: extracted {entities_count} Ent + {relations_count} Rel" logger.info(log_message) if pipeline_status is not None: async with pipeline_status_lock: From 56d3c374bea674b1d76b70ba4d8eae3fd9e5208e Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 21:13:03 +0800 Subject: [PATCH 18/19] Update api version to 0148 --- lightrag/api/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/__init__.py b/lightrag/api/__init__.py index fb70454b..4e05d060 100644 --- a/lightrag/api/__init__.py +++ b/lightrag/api/__init__.py @@ -1 +1 @@ -__api_version__ = "0147" +__api_version__ = "0148" From ecfe4209c36948d8cde7dcde3b623c7dd0664594 Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 12 Apr 2025 21:34:50 +0800 Subject: [PATCH 19/19] Update log message --- lightrag/lightrag.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/lightrag/lightrag.py b/lightrag/lightrag.py index cd801305..54a41843 100644 --- a/lightrag/lightrag.py +++ b/lightrag/lightrag.py @@ -879,8 +879,10 @@ class LightRAG: async with pipeline_status_lock: log_message = f"Processing file: {file_path}" + logger.info(log_message) pipeline_status["history_messages"].append(log_message) log_message = f"Processing d-id: {doc_id}" + logger.info(log_message) pipeline_status["latest_message"] = log_message pipeline_status["history_messages"].append(log_message)