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fix(builder): md reader str 20250508 (#525)
* Initial commit * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Create CITATION.cff * Update README.md * Remove sensitive information * refine vectorizer code and config * fix vectorizer package name * fix old import and requirement version bug * delete kagdemo * remove batch_vectorizer.py under common * fix struct chain bug * fix path bug * fix path bug * fix comment * add README_cn.md * fix spaces * handle empty node_path * handle empty node_batch * add english README.md * fix url * fix typo * fix bug in solver * use kwargs * use kwargs to init config * add llm input * remove __main__ * fix bug in solver * add HumanBodyPart.csv data * fix bug in builder * update requirement * fix example llm config * add example cfg * fix readme * update * update requirement * Update README.md * import FlagEmbedding at top-level to avoid sklearn init failure * fix llm client * add __init__ * import sklearn before FlagEmbedding to avoid sklearn init failure * implement vector_dimensions in base Vectorizer * add VectorizerConfigChecker * add llm config checker * add llm init file * fix * fix * add init for solver * fix * fix(kag): fix llm call warning info (#11) * output llm call warning info * add generator module * [fix](builder): prompt config for builder (#14) * fix zh prompt config bug * add __init__ for extractabc * [fix](builder): batchvectorizer kwargs (#16) * fix zh prompt config bug * add __init__ for extractabc * fix batchvectorizer kwargs * using ollama client * fix buidler init * fix buidler init (#18) * fix buidler init * fix llm config cheker main * fix llm test * (fix)[solver]: language (#19) * fix builder init * fix language * fix req * (fix)[common]: llm checker (#20) * fix buidler init * fix llm checker * filter edges with empty relation (#26) * (fix)[common]: llm client (#22) * fix buidler init * add sub llm client in __init__ * fix cmd kagbase * fix spo kag_llm * (fix)[solver]: default prompt for examples (#29) * fix buidler init * fix default prompt for examples * fix kagbasemodule for prompt config * fix kagbasemodule for prompt config * [feat]: Add test dataset for hotpotqa and musique (#30) * add dataset * move dir * fix bug in spg_extractor and base_table_splitter (#44) * Update README_cn.md (#55) Update the description of KAG core features in the readme file * Update README.md (#54) * docs: add Japanese README file (#49) I created Japanese translated README. * doc: note on staring kag in README.md (#59) * add default prop name (#62) * Update README for en,cn (#63) * update readme for cn,en * update readme for cn,en * Readme optimize (#65) * update readme for cn,en * update readme for cn,en * update readme for cn,en * minor format tweak --------- Co-authored-by: huaidong.xhd <huaidong.xhd@antgroup.com> * Update README_cn.md (#74) * generate embedding in batch (#76) * add pro commit * fix(example): fix example open qa benchmark data id generator (#97) * fix builder chunk index * split length * add force chunk (#98) * Update logic_form_plan.py (#95) * fix(builder): add spgtype not null check (#106) * add spg_type not null check * add spg_type not null check * [feat] add template for issues (#108) * feat(kag) update template for issues (#109) * [feat] add template for issues * update template for issues * change type of variable self.schema from dict.keys to list[str] (#99) * feat(kag) update template for issues (#114) * [feat] add template for issues * update template for issues * update template for issues * rename graphalgoclient to graphclient * feat(ReadMe) Update README.md (#119) * feat(kag)Update README.md (#120) * feat(kag) update docs for github.io (#122) * [feat] add template for issues * update template for issues * update template for issues * update template for issues * feat(kag) update docs for kag (#123) * [feat] add template for issues * update template for issues * update template for issues * update template for issues * update template for issues * fix(solver): 修改了slover中sum和verify功能求解器的传入参数 (#139) * 修改了slover中sum和verify功能求解器的传入参数 * 去除多余空格 * add testset for kag-demo (#144) * feat(kag) rename testset file (#147) * add testset for kag-demo * rename testset * Update README.md (#181) * refactor(all): kag v0.6 (#174) * add path find * fix find path * spg guided relation extraction * fix dict parse with same key * rename graphalgoclient to graphclient * rename graphalgoclient to graphclient * file reader supports http url * add checkpointer class * parser supports checkpoint * add build * remove incorrect logs * remove logs * update examples * update chain checkpointer * vectorizer batch size set to 32 * add a zodb backended checkpointer * add a zodb backended checkpointer * fix zodb based checkpointer * add thread for zodb IO * fix(common): resolve mutlithread conflict in zodb IO * fix(common): load existing zodb checkpoints * update examples * update examples * fix zodb writer * add docstring * fix jieba version mismatch * commit kag_config-tc.yaml 1、rename type to register_name 2、put a uniqe & specific name to register_name 3、rename reader to scanner 4、rename parser to reader 5、rename num_parallel to num_parallel_file, rename chain_level_num_paralle to num_parallel_chain_of_file 6、rename kag_extractor to schema_free_extractor, schema_base_extractor to schema_constraint_extractor 7、pre-define llm & vectorize_model and refer them in the yaml file Issues to be resolved: 1、examples of event extract & spg extract 2、statistic of indexer, such as nums of nodes & edges extracted, ratio of llm invoke. 3、Exceptions such as Debt, account does not exist should be thrown in llm invoke. 4、conf of solver need to be re-examined. * commit kag_config-tc.yaml 1、rename type to register_name 2、put a uniqe & specific name to register_name 3、rename reader to scanner 4、rename parser to reader 5、rename num_parallel to num_parallel_file, rename chain_level_num_paralle to num_parallel_chain_of_file 6、rename kag_extractor to schema_free_extractor, schema_base_extractor to schema_constraint_extractor 7、pre-define llm & vectorize_model and refer them in the yaml file Issues to be resolved: 1、examples of event extract & spg extract 2、statistic of indexer, such as nums of nodes & edges extracted, ratio of llm invoke. 3、Exceptions such as Debt, account does not exist should be thrown in llm invoke. 4、conf of solver need to be re-examined. * 1、fix bug in base_table_splitter * 1、fix bug in base_table_splitter * 1、fix bug in default_chain * 增加solver * add kag * update outline splitter * add main test * add op * code refactor * add tools * fix outline splitter * fix outline prompt * graph api pass * commit with page rank * add search api and graph api * add markdown report * fix vectorizer num batch compute * add retry for vectorize model call * update markdown reader * update markdown reader * update pdf reader * raise extractor failure * add default expr * add log * merge jc reader features * rm import * add build * fix zodb based checkpointer * add thread for zodb IO * fix(common): resolve mutlithread conflict in zodb IO * fix(common): load existing zodb checkpoints * update examples * update examples * fix zodb writer * add docstring * fix jieba version mismatch * commit kag_config-tc.yaml 1、rename type to register_name 2、put a uniqe & specific name to register_name 3、rename reader to scanner 4、rename parser to reader 5、rename num_parallel to num_parallel_file, rename chain_level_num_paralle to num_parallel_chain_of_file 6、rename kag_extractor to schema_free_extractor, schema_base_extractor to schema_constraint_extractor 7、pre-define llm & vectorize_model and refer them in the yaml file Issues to be resolved: 1、examples of event extract & spg extract 2、statistic of indexer, such as nums of nodes & edges extracted, ratio of llm invoke. 3、Exceptions such as Debt, account does not exist should be thrown in llm invoke. 4、conf of solver need to be re-examined. * commit kag_config-tc.yaml 1、rename type to register_name 2、put a uniqe & specific name to register_name 3、rename reader to scanner 4、rename parser to reader 5、rename num_parallel to num_parallel_file, rename chain_level_num_paralle to num_parallel_chain_of_file 6、rename kag_extractor to schema_free_extractor, schema_base_extractor to schema_constraint_extractor 7、pre-define llm & vectorize_model and refer them in the yaml file Issues to be resolved: 1、examples of event extract & spg extract 2、statistic of indexer, such as nums of nodes & edges extracted, ratio of llm invoke. 3、Exceptions such as Debt, account does not exist should be thrown in llm invoke. 4、conf of solver need to be re-examined. * 1、fix bug in base_table_splitter * 1、fix bug in base_table_splitter * 1、fix bug in default_chain * update outline splitter * add main test * add markdown report * code refactor * fix outline splitter * fix outline prompt * update markdown reader * fix vectorizer num batch compute * add retry for vectorize model call * update markdown reader * raise extractor failure * rm parser * run pipeline * add config option of whether to perform llm config check, default to false * fix * recover pdf reader * several components can be null for default chain * 支持完整qa运行 * add if * remove unused code * 使用chunk兜底 * excluded source relation to choose * add generate * default recall 10 * add local memory * 排除相似边 * 增加保护 * 修复并发问题 * add debug logger * 支持topk参数化 * 支持chunk截断和调整spo select 的prompt * 增加查询请求保护 * 增加force_chunk配置 * fix entity linker algorithm * 增加sub query改写 * fix md reader dup in test * fix * merge knext to kag parallel * fix package * 修复指标下跌问题 * scanner update * scanner update * add doc and update example scripts * fix * add bridge to spg server * add format * fix bridge * update conf for baike * disable ckpt for spg server runner * llm invoke error default raise exceptions * chore(version): bump version to X.Y.Z * update default response generation prompt * add method getSummarizationMetrics * fix(common): fix project conf empty error * fix typo * 增加上报信息 * 修改main solver * postprocessor support spg server * 修改solver支持名 * fix language * 修改chunker接口,增加openapi * rename vectorizer to vectorize_model in spg server config * generate_random_string start with gen * add knext llm vector checker * add knext llm vector checker * add knext llm vector checker * solver移除默认值 * udpate yaml and register_name for baike * udpate yaml and register_name for baike * remove config key check * 修复llmmodule * fix knext project * udpate yaml and register_name for examples * udpate yaml and register_name for examples * Revert "udpate yaml and register_name for examples" This reverts commit 9705951d066b282ac49f0e1972559b646e7f906d. * update register name * fix * fix * support multiple resigter names * update component * update reader register names (#183) * fix markdown reader * fix llm client for retry * feat(common): add processed chunk id checkpoint (#185) * update reader register names * add processed chunk id checkpoint * feat(example): add example config (#186) * update reader register names * add processed chunk id checkpoint * add example config file * add max_workers parameter for getSummarizationMetrics to make it faster * add csqa data generation script generate_data.py * commit generated csqa builder and solver data * add csqa basic project files * adjust split_length and num_threads_per_chain to match lightrag settings * ignore ckpt dirs * add csqa evaluation script eval.py * save evaluation scripts summarization_metrics.py and factual_correctness.py * save LightRAG output csqa_lightrag_answers.json * ignore KAG output csqa_kag_answers.json * add README.md for CSQA * fix(solver): fix solver pipeline conf (#191) * update reader register names * add processed chunk id checkpoint * add example config file * update solver pipeline config * fix project create * update links and file paths * reformat csqa kag_config.yaml * reformat csqa python files * reformat getSummarizationMetrics and compare_summarization_answers * fix(solver): fix solver config (#192) * update reader register names * add processed chunk id checkpoint * add example config file * update solver pipeline config * fix project create * fix main solver conf * add except * fix typo in csqa README.md * feat(conf): support reinitialize config for call from java side (#199) * update reader register names * add processed chunk id checkpoint * add example config file * update solver pipeline config * fix project create * fix main solver conf * support reinitialize config for java call * revert default response generation prompt * update project list * add README.md for the hotpotqa, 2wiki and musique examples * 增加spo检索 * turn off kag config dump by default * turn off knext schema dump by default * add .gitignore and fix kag_config.yaml * add README.md for the medicine example * add README.md for the supplychain example * bugfix for risk mining * use exact out * refactor(solver): format solver code (#205) * update reader register names * add processed chunk id checkpoint * add example config file * update solver pipeline config * fix project create * fix main solver conf * support reinitialize config for java call * black format --------- Co-authored-by: peilong <peilong.zpl@antgroup.com> Co-authored-by: 锦呈 <zhangxinhong.zxh@antgroup.com> Co-authored-by: zhengke.gzk <zhengke.gzk@antgroup.com> Co-authored-by: huaidong.xhd <huaidong.xhd@antgroup.com> * docs(examples): finish README.md for builtin kag examples (#207) * add data introduction for example supplychain * add schema modeling for example supplychain * add kg construction for example supplychain * add kg query for example supplychain * finish README_cn.md for the supplychain example * finish README.md for the supplychain example * add README.md for the riskmining example * add README.md for the medicine example * update README.md of hotpotqa, 2wiki and musique * add README_cn.md for hotpotqa, 2wiki and musique * update README.md of csqa * add README_cn.md for csqa * update link targets to 0.6 version of the docs * add README.md for baike * reformat Python code in examples * fix create project (#208) * docs(examples): finish README.md for the examples directory (#210) * add data introduction for example supplychain * add schema modeling for example supplychain * add kg construction for example supplychain * add kg query for example supplychain * finish README_cn.md for the supplychain example * finish README.md for the supplychain example * add README.md for the riskmining example * add README.md for the medicine example * update README.md of hotpotqa, 2wiki and musique * add README_cn.md for hotpotqa, 2wiki and musique * update README.md of csqa * add README_cn.md for csqa * update link targets to 0.6 version of the docs * add README.md for baike * reformat Python code in examples * add README_cn.md for examples * finish README.md for examples * fix typo in README.md for examples * move images for kag examples to _static/images (#214) * move more images for kag examples to _static/images (#216) * udpate default yaml and corpus (#217) * fix(knext): fix knext project env (#211) * fix create project * fix create project * fix create project * fix create project * fix examples REAME.md to match quick start doc (#218) * fix(example): fix vectorize model config in example (#220) * fix vectorize model config * remove ak * remove ak * x * change log level to debug (#221) * fix knext env (#223) * fix 'ModuleNotFoundError: No module named xxx' error in Windows (#222) * reduce warn (#225) * update(kag) update log level (#226) * udpate default yaml and corpus * update log level to debug * fix(KAG): change level log (#227) * change log level to debug * fix(example): fix vectorize model config in example (#220) * fix vectorize model config * remove ak * remove ak * x * fix knext env (#223) * fix 'ModuleNotFoundError: No module named xxx' error in Windows (#222) * reduce warn (#225) * change log level to debug --------- Co-authored-by: zhuzhongshu123 <152354526+zhuzhongshu123@users.noreply.github.com> Co-authored-by: Xinhong Zhang <zhangxinhong.zxh@antgroup.com> * fix knext client (#229) * fix(knext): fix knext client (#230) * fix knext client * x * fix ollma regsiter name (#234) * add timeout param for llm and embedding model (#236) * Update README_cn.md (#238) * Update README.md (#237) * feat(examples): output qfs evaluation results as json and markdown (#240) * fix vectorize_model configuration key typo * fix permissions of data files * fix examples README.md inconsistency * output qfs evaluation results as json and markdown * format summarization_metrics.py with black * chore(examples): domain KG inject example (#249) * add timeout param for llm and embedding model * add example * fix title * update(kag) Update README (#258) * update README #andy * update README #andy * update README #andy * update README #andy * update(kag) Update README (#264) * update README #andy * update README #andy * update README #andy * update README #andy * update README #andy * update README #andy * fix mix reader (#270) * feat(builder): add Azure Open AI Compatibility (#269) * feat(llm): add Azure OpenAI client and vectorization support * chore: add .DS_Store to .gitignore * refactor(llm):add description for api_version and default value * refactor(vectorize_model): added description for ap_version and default values for some params * refactor(openai_model): enhance docstring for Azure AD token and deployment parameters * fix(builder): fix markdown reader for id (#273) * fix buidler init * add pro commit * rename graphalgoclient to graphclient * first fix * fix(examples): fix qa file name (#251) * support custom kag config file (#279) * feat(bridge): spg server bridge supports config check and run solver (#287) * x * x (#280) * bridge add solver * x * feat(bridge): spg server bridge (#283) * x * bridge add solver * x * add invoke * llm client catch error * feat(kag): catch unexpected exceptions (#298) * x (#280) * feat(bridge): spg server bridge (#283) * x * bridge add solver * x * feat(bridge): Spg server bridge check (#285) * x * bridge add solver * x * add invoke * feat(common): llm client catch exception (#294) * x * bridge add solver * x * add invoke * llm client catch error * feat(solver): catch chunk retriever exception (#297) * x * bridge add solver * x * add invoke * llm client catch error * catch exception * feat(common):llm except (#299) * x * bridge add solver * x * add invoke * llm client catch error * catch exception * print llm invoke error info * with except * feat(common): force raise except (#300) * x * bridge add solver * x * add invoke * llm client catch error * catch exception * print llm invoke error info * with except * force raise except * delete checkpoint of postprocess (#302) * disable entity linking in postprocess by default (#304) * add retry (#306) * use json repair for llm client (#312) * fix empty data generate (#319) * Add Discord link and wechat qr code. (#338) * Add qr code * Update README.md Add discord and how to join the wechat group. * fix the error when the stream parameter is True (#336) * Update baike kag_config.yaml (#339) The reference to the class corresponding to the default_chunk_retriever is incorrect. fix it * fix(builder): fix pdf reader for normalizing text in outline (#344) * fix buidler init * add pro commit * rename graphalgoclient to graphclient * fix pdf reader * fix pdf reader * fix pdf reader * fix(builder): bugfix official_name node has same prop object (#372) * bugfix official_name node has same prop object * reformat by black * fix(solver): bugfix SPO Retrieval LLM response parse (#378) * bugfix official_name node has same prop object * reformat by black * adapter spo retrieval llm response * core_team #andy (#389) * fix(knext): project update addr (#408) * fix buidler init * add pro commit * rename graphalgoclient to graphclient * use config default * fix(knext): set token in request of write_graph (#409) * fix(knext)set token in request of write_graph * refine code * feat(kag): update to v0.7 (#456) * add think cost * update csv scanner * add final rerank * add reasoner * add iterative planner * fix dpr search * fix dpr search * add reference data * move odps import * update requirement.txt * update 2wiki * add missing file * fix markdown reader * add iterative planning * update version * update runner * update 2wiki example * update bridge * merge solver and solver_new * add cur day * writer delete * update multi process * add missing files * fix report * add chunk retrieved executor * update try in stream runner result * add path * add math executor * update hotpotqa example * remove log * fix python coder solver * update hotpotqa example * fix python coder solver * update config * fix bad * add log * remove unused code * commit with task thought * move kag model to common * add default chat llm * fix * use static planner * support chunk graph node * add args * support naive rag * llm client support tool calls * add default async * add openai * fix result * fix markdown reader * fix thinker * update asyncio interface * feat(solver): add mcp support (#444) * 上传mcp client相关代码 * 1、完成一套mcp client的调用,从pipeline到planner、executor 2、允许json中传入多个mcp_server,通过大模型进行调用并选择 3、调通baidu_map_mcp的使用 * 1、schema * bugfix:删减冗余代码 --------- Co-authored-by: wanxingyu.wxy <wanxingyu.wxy@antgroup.com> * fix affairqa after solver refactor * fix affairqa after solver refactor * fix readme * add params * update version * update mcp executor * update mcp executor * solver add mcp executor * add missing file * add mpc executor * add executor * x * update * fix requirement * fix main llm config * fix solver * bugfix:修复invoke函数调用逻辑 * chg eva * update example * add kag layer * add step task * support dot refresh * support dot refresh * support dot refresh * support dot refresh * add retrieved num * add retrieved num * add pipelineconf * update ppr * update musique prompts * update * add to_dict for BuilderComponentData * async build * add deduce prompt * add deduce prompt * add deduce prompt * fix reader * add deduce prompt * add page thinker report * modify prmpt * add step status * add self cognition * add self cognition * add memory graph storage * add now time * update memory config * add now time * chg graph loader * 添加prqa数据集和代码 * bugfix:prqa调用逻辑修复 * optimize:优化代码逻辑,生成答案规范化 * add retry py code * update memory graph * update memory graph * fix * fix ner * add with_out_refer generator prompt * fix * close ckpt * fix query * fix query * update version * add llm checker * add llm checker * 1、上传evalutor.py以及修改gold_answer.json格式 2、优化代码逻辑 3、修改README.md文件 * update exp * update exp * rerank support * add static rewrite query * recall more chunks * fix graph load * add static rewrite query * fix bugs * add finish check * add finish check * add finish check * add finish check * 1、上传evalutor.py的结果 2、优化代码逻辑,优化readme文件 * add lf retry * add memory graph api * fix reader api * add ner * add metrics * fix bug * remove ner * add reraise fo retry * add edge prop to memory graph * add memory graph * 1、评测数据集结果修正 2、优化evaluator.py代码 3、删除结果不存在而gold_answer中有答案的问题 * 删除评测结果文件 * fix knext host addr * async eva * add lf prompt * add lf prompt * add config * add retry * add unknown check * add rc result * add rc result * add rc result * add rc result * 依据kag pipeline格式修改代码逻辑并通过测试 * bugfix:删除冗余代码 * fix report prompt * bugfix:触发重试机制 * bugfix:中文符号错误 * fix rethinker prompt * update version to 0.6.2b78 * update version * 1、修改evaluator.py,通过大模型计算准确率,符合最新调用逻辑 2、修改prompt,让没有回答的结果重复测试 * update affairqa for evaluate * update affairqa for evaluate * bugfix:修正数据集 * bugfix:修正数据集 * bugfix:修正数据集 * fix name conflict * bugfix:删除错误问题 * bugfix:文件名命名错误导致evaluator失败 * update for affairqa eval * bugfix:修改代码保持evaluate逻辑一致 * x * update for affairqa readme * remove temp eval scripts * bugfix for math deduce * merge 0.6.2_dev * merge 0.6.2_dev * fix * update client addr * updated version * update for affairqa eval * evaUtils 支持中文 * fix affairqa eval: * remove unused example * update kag config * fix default value * update readme * fix init * 注释信息修改,并添加部分class说明 * update example config * Tc 0.7.0 (#459) * 提交affairQA 代码 * fix affairqa eval --------- Co-authored-by: zhengke.gzk <zhengke.gzk@antgroup.com> * fix all examples * reformat --------- Co-authored-by: peilong <peilong.zpl@antgroup.com> Co-authored-by: 锦呈 <zhangxinhong.zxh@antgroup.com> Co-authored-by: wanxingyu.wxy <wanxingyu.wxy@antgroup.com> Co-authored-by: zhengke.gzk <zhengke.gzk@antgroup.com> * 更新readme (#460) * feat(kag): update readme (#462) * 更新readme * 更新readme * feat(kag): update version of KAG (#475) * 更新readme * 更新readme * update version of KAG * add async return (#481) * add run component error log (#482) * fix(bin): add pip index url (#483) * add run component error log * add index url option * add gpu type * fix(solver): add component name (#480) * add ai search example * bugfix reporter name * update version * fix ci * support disabling vector generation (#486) * fix --------- Co-authored-by: Andy <andy.yj@antgroup.com> Co-authored-by: huaidong.xhd <huaidong.xhd@antgroup.com> Co-authored-by: zhengke.gzk <zhengke.gzk@antgroup.com> Co-authored-by: peilong <peilong.zpl@antgroup.com> Co-authored-by: leywar <leywar.liang@antgroup.com> Co-authored-by: zhuzhongshu123 <152354526+zhuzhongshu123@users.noreply.github.com> Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com> Co-authored-by: tpoisonooo <khj.application@aliyun.com> Co-authored-by: thundax <84020791+thundax-lyp@users.noreply.github.com> Co-authored-by: Chasing <94726836+zzzcccxx@users.noreply.github.com> Co-authored-by: yangman <1515243746@qq.com> Co-authored-by: joseosvaldo16 <joseosvaldo16@yahoo.com.mx> Co-authored-by: luzizhuo <496521310@qq.com> Co-authored-by: hy89 <31279043+hy89@users.noreply.github.com> Co-authored-by: xueguanwen <xgw1989@sina.com> Co-authored-by: bingchu <152955942+J4ckycjl@users.noreply.github.com> Co-authored-by: wanxingyu.wxy <wanxingyu.wxy@antgroup.com>
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@ -856,7 +856,7 @@ class MarkDownReader(ReaderABC):
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else:
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raise TypeError(f"Expected file path or Chunk, got {type(input).__name__}")
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chunks, subgraph = self.solve_content(id, basename, content)
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chunks, subgraph = self.solve_content(str(id), basename, content)
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length_500_list = []
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length_1000_list = []
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length_5000_list = []
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@ -915,7 +915,7 @@ class YuequeReader(MarkDownReader):
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title = data.get("title", "")
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content = data.get("body", "")
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chunks, subgraph = self.solve_content(id, title, content)
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chunks, subgraph = self.solve_content(str(id), title, content)
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return chunks
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