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* 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>
48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
import os
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import unittest
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from kag.common.env import init_kag_config
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from kag.solver.plan.default_lf_planner import DefaultLFPlanner
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from kag.common.text_sim_by_vector import TextSimilarity
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configFilePath = os.path.join(os.path.abspath(os.path.dirname(__file__)), "kag_config.cfg")
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init_kag_config(configFilePath)
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lf_planner = DefaultLFPlanner()
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class ParseTest(unittest.TestCase):
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def test_plan1(self):
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lf_nodes = lf_planner.lf_planing("When was erik hort born? and where born?")
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print(lf_nodes)
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def test_plan2(self):
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lf_nodes = lf_planner.lf_planing("""Which city was the band which was formed in 1981 in Los Angeles when vocalist/guitarist James Hetfield responded to an advertisement posted by drummer Lars Ulrich in a local newspaper hosted by L'Amour?""")
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print(lf_nodes)
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def test_plan3(self):
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lf_nodes = lf_planner.lf_planing("""Under what name did the founder and lead guitarist of the band Porcupine Tree use when he released his album Indicates Void?""")
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print(lf_nodes)
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def test_plan4(self):
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lf_nodes = lf_planner.lf_planing("""Terry McGurrin was the story editor for the show "Scaredy Squirrel" which was written by who?""")
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print(lf_nodes)
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def test_plan5(self):
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lf_nodes = lf_planner.lf_planing("""What position did the receiver of the 2007 FIFA U-20 Golden Shoe play?""")
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print(lf_nodes)
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def test_plan6(self):
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lf_nodes = lf_planner.lf_planing("""In what film did Roddy Maude-Roxby play a character based on a story by a team including Tom Rowe as a writer?""")
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print(lf_nodes)
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def test_text_sim(self):
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candidates = ['题材', '上映时间', '制片地']
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text_similarity = TextSimilarity()
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mention = '类型'
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out = text_similarity.text_type_sim(mention, candidates)
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print(out)
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if __name__ == '__main__':
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unittest.main()
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