mirror of
https://github.com/OpenSPG/KAG.git
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* 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 b3fa5ca9ba749e501133ac67bd8746027ab839d9. * 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>
91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2023 OpenSPG Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
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# in compliance with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software distributed under the License
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# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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# or implied.
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from typing import TypeVar, Type, List
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Other = TypeVar("Other")
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Input = TypeVar("Input", contravariant=True)
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Output = TypeVar("Output", covariant=True)
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class Runnable:
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"""
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Abstract base class that can be invoked synchronously.
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"""
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_last: bool = False
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def __init__(self, **kwargs):
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for key, value in kwargs.items():
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setattr(self, key, value)
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@property
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def input_types(self) -> Type[Input]:
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"""The type of input this Runnable object accepts specified as a type annotation."""
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return
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@property
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def output_types(self) -> Type[Output]:
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"""The type of output this Runnable object produces specified as a type annotation."""
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return
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def invoke(self, input: Input, **kwargs) -> List[Output]:
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"""Transform an input into an output sequence synchronously."""
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raise NotImplementedError(
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f"`invoke` is not currently supported for {self.__class__.__name__}."
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)
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def batch(self, inputs: List[Input], **kwargs) -> List[Output]:
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"""Transform inputs into an output sequence synchronously."""
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raise NotImplementedError(
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f"`batch` is not currently supported for {self.__class__.__name__}."
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)
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def __rshift__(self, other):
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"""
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Overloads the right shift operator (>>) for the Chain class.
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This method allows for chaining together Components and Chains using the
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right shift operator. It takes an input `other`, which can be a single
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Component, a list of Components, a single Chain, or a list of Chains.
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The process is as follows:
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- If `other` is None or an empty value, the original Chain instance (`self`)
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is returned.
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- If `other` is not a list, it is converted into a list containing a single
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element.
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- For each element in `other`, a directed acyclic graph (DAG) is created:
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- If the element is a Component, it is added to the DAG and an edge is created
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from the current Chain (`self`) to the Component.
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- If the element is a Chain, the method finds the end nodes of the current
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DAG and the start nodes of the Chain's DAG to create appropriate edges
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between them. The two DAGs are then combined.
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- After processing all elements in `other`, all DAGs are combined into a final
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DAG using `nx.compose_all`.
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- A new Chain object is created and returned, initialized with the final combined DAG.
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Args:
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other: A Chain, list of Chains, Component, list of Components, or None
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representing the elements to chain with the current instance.
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Returns:
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A new Chain object that represents the combined DAG of the current instance
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and the provided elements.
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"""
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raise NotImplementedError(
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f"`__rshift__` is not currently supported for {self.__class__.__name__}."
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)
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def _check_type(self, other: Other) -> bool:
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pass
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