CN111159021B - Method and system for quickly positioning chat robot problem - Google Patents
Method and system for quickly positioning chat robot problem Download PDFInfo
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Abstract
The application discloses a method and a system for rapidly positioning chat robot problems, which comprises the following steps: after obtaining the question information, the chat robot starts detection; carrying out path marking on each module called in the chat robot answer searching process; stopping the path marking when the chat robot stops searching for the answer; according to the path mark, acquiring a module name which is called finally when the chat robot stops searching for the answer; and outputting the name of the module called finally. The chat robot is convenient for business personnel to quickly position and find out the problems of the chat robot.
Description
Technical Field
The application relates to the field of intelligent robots, in particular to a method and a system for quickly positioning chat robots.
Background
Chat robots are bulky systems that include many modules and components whose working principles are often only known to designers and developers. The internal structure and method are not well understood by the business person. When some design logics or implementation have problems, a service person has no good method for positioning the problems and can only position the problems by a technician.
The existing chat robot is only used by a client, the problem of the chat robot is that a service provider cannot investigate what the chat robot gives wrong answers or does not give answers in the chat process, only developers have the ability to investigate similar algorithm problems, and a large amount of manpower and time are consumed to position and find problems.
Disclosure of Invention
The method and the system aim at providing the method and the system for quickly positioning the chat robot problem aiming at the defects in the prior art, and are convenient for business personnel to quickly position and find the chat robot problem.
The application discloses a method for quickly positioning chat robot problems, which comprises the following steps:
after obtaining the question information, the chat robot starts detection;
marking a path of each module called in the process of searching the answer by the chat robot;
stopping the path marking when the chat robot stops searching for the answer;
according to the path mark, acquiring a module name which is called finally when the chat robot stops searching for an answer;
and outputting the name of the module called finally.
Optionally, after the chat robot obtains the question information, the step of starting detection includes:
after obtaining the question information, the chat robot inputs a preset starting value;
the detection is initiated.
Optionally, the preset starting value is a specific identification value.
Optionally, the path marking for each module specifically is to mark a path for each module by using a unique corresponding code.
Optionally, the step of obtaining, according to the path flag, the module name that is called last when the chat robot stops searching for the answer further includes:
obtaining the answer type of the chat robot when the chat robot stops searching the answer;
correspondingly, the step of outputting the last called module name further includes:
and outputting the answer type of the chat robot.
Optionally, when the chat robot stops searching for the answer, the step of stopping the path marking specifically includes:
stopping the path marking when the chat robot stops searching for the answer; when the chat robot does not stop searching for answers, continuing the path marking until the flow is finished;
the step of obtaining the module name called finally when the chat robot stops searching for the answer according to the path mark specifically comprises:
if the chat robot stops searching for the answer, acquiring the name of the module called finally according to the path mark; if the chat robot does not stop searching answers, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking;
the step of outputting the last called module name specifically comprises:
and outputting the name of the last called module or the complete path according to the last step.
The application also discloses a system for rapidly positioning the chat robot problem, which comprises a detection module, a path marking module, an acquisition module and an output module. The detection module is configured to start detection after the chat robot acquires the question information, and track the chat robot to find an answer flow path. The path marking module is configured to mark a path for each module called in the chat robot answer searching process. The obtaining module is configured to obtain a module name which is called finally when the chat robot stops searching for the answer according to the path mark. The output module is configured to output the last called module name.
Optionally, the detection module includes an input module and a detection submodule. The input module is configured for inputting and obtaining a preset starting value. The detection submodule is configured to be started and detected according to a preset starting value obtained by the input module.
Optionally, the path marking module includes an identification module and a path marking sub-module. The identification module is configured to identify each module called in the chat robot answer searching process. And the path marking sub-module is configured to mark a path of each module by adopting a unique code according to the identification result of the identification module.
Optionally, the path marking module is specifically configured to stop the path marking when the chat robot stops looking for answers; and when the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished.
The obtaining module is specifically configured to obtain a last called module name according to the path mark if the chat robot stops searching for the answer; and if the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking.
The output module is specifically configured to output a last called module name or a complete path according to the information acquired by the acquisition module.
The method of the invention marks the path of each module called in the process of searching the answer by the chat robot and outputs the marking result to the service personnel so that the service personnel can know which module of the chat robot has the problem. The invention can open the daily maintenance of the chat robot to the service personnel for tracking and troubleshooting, thereby facilitating the service personnel to quickly position and find the problems of the chat robot without the need of the supervision of technical personnel at any time. The invention obviously improves the problem troubleshooting speed and effectively improves the maintenance efficiency of the chat robot.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the application, are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a flow diagram of a method for quickly locating chat robot problems in accordance with an embodiment of the present application;
FIG. 2 is another flow diagram of a method for quickly locating chat robot problems in accordance with an embodiment of the present application;
FIG. 3 is another flow diagram of a method for quickly locating chat robot problems in accordance with an embodiment of the present application;
FIG. 4 is a schematic diagram of a system for quickly locating chat bot problems in accordance with an embodiment of the present application;
FIG. 5 is a schematic diagram of a detection module according to an embodiment of the present application;
fig. 6 is a schematic diagram of a path marking module according to another embodiment of the present application.
100, a system; 110. a detection module; 111. an input module; 112. a detection submodule; 120. a path marking module; 121. an identification module; 122. a path labeling submodule; 130. an acquisition module; 140. and an output module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The present application is described in detail below with reference to the figures and alternative embodiments.
As shown in fig. 1 to 3, as an embodiment of the present application, a method for quickly locating a chat robot problem is disclosed, which includes the steps of:
s100: after obtaining the question information, the chat robot starts detection;
s200: marking a path of each module called in the process of searching the answer by the chat robot;
s300: stopping the path marking when the chat robot stops searching for the answer;
s400: according to the path mark, acquiring a module name which is called finally when the chat robot stops searching for the answer;
s500: and outputting the name of the module called finally.
For the above method, for example, a chat robot is asked: how to check whether the mobile phone is activated or not is judged, a test window function is started, and the chatting robot calls a question-answering interface to start detection. And simultaneously, carrying out path marking on the module called by the chat robot. After the answer flow is terminated or finished, a path is given, and the path is marked as an example: 1- >2- >3- >4- >5- >7- >8- >9- >10- >11- >12- >13- >14- >15- >16- >17- >20- >19- >21- >22- >23- >24- > automatic camp- > answers the automatic camp recommendation/related question. Wherein self-operation refers to an answer matched with a self-operation store knowledge base of the online shopping platform; the self-help recommended question/related question refers to the question that the final answer returns to be associated with the currently matched knowledge point.
The existing chat robot is only used by a client, when the chat robot has a problem, a service provider cannot investigate what the chat robot gives wrong answers or does not give answers in the chat process, only developers have the ability to investigate similar algorithm problems, and a large amount of manpower and time are consumed to position and find the problems.
The method carries out path marking on each module called in the process of searching answers by the chat robot, and outputs the marking result to the service personnel so that the service personnel can know which module of the chat robot has a problem. The invention can open the daily maintenance of the chat robot to service personnel for tracking and troubleshooting, thereby facilitating the service personnel to quickly position and find the problems of the chat robot without the need of supervision by technical personnel at any time. The invention obviously improves the problem troubleshooting speed and effectively improves the maintenance efficiency of the chat robot.
Specifically, after the chat robot acquires the question information, the step of starting detection includes:
s110: after obtaining the question information, the chat robot inputs a preset starting value;
s120: detection is initiated.
The specific value of the preset starting value is a specific identification value. The specific identification value can be Arabic numerals, such as 1/2/3 and the like; may be letters, such as A/B/C, etc.; or may be a specific other character or symbol mark. In this embodiment, the preset starting value is specifically 2. When the chat robot has a problem in the question and answer process, the service personnel inputs a preset starting value to start detection and start quick search and positioning of the problem. Specifically, in the scheme, when the preset starting value input is 0, the interface (answer) returns to the non-debug mode; when the preset starting value input is 1, the interface (answer) returns to the debug mode; and when the preset starting value input is 2, starting the test window mode.
In step S200, the path marking for each module specifically is to mark a path for each module by using a unique corresponding code. For example, in the above-mentioned "1- >2- >3- >4- >5- >7- >8- >9- >10- >11- >12- >13- >14- >15- >16- >17- >20- >19- >21- >22- >23- >24- >25", each code represents a module called by the chat robot in the chat process. If the path marker stops at the code 10, a question appears on a module corresponding to the code 10, and an answer type is given corresponding to the path marker, so that a user can conveniently analyze and investigate the question. For example, in a specific application scenario, each path corresponds to a type, and there are 25 types: "question answer threshold initialization is wrong", "question is too long to identify a dialog", "null is returned in answer", "dynamic menu returns standard question answer", "answer no corresponding order plus previous question", "less than five dialogs and no simple dialog- > please simply describe your question" or "other case goes to manual- > directly goes to manual", "- > answer punctuation question terminology", "- > answer expression question terminology", "- > answer bye question terminology", "- > answer digital question terminology", "- > answer sensitive terminology", "- > answer identity question terminology", "- > answer call question terminology", "- > answer thank question terminology", "- > answer other short question terminology, the method comprises the steps of providing a 'answer C store bag', a 'answer keyword dynamic menu', 'answer parameter type question', 'answer url question', 'answer skill type question', 'answer coupon question', 'fill slot information incomplete' or 'fill slot information complete', 'answer long question', 'match to fill slot template-' answer multi-round dialogue question 'or' match to pat n template- 'answer pat n question', 'C store-' answer C store custom question 'or' C store- 'answer C store recommendation question' or 'self-answer self-camp kbase question' or 'self-camp-' answer self-camp dynamic menu 'or' self-camp question - > answer the self-marketing recommended question/related question ". The criterion for distinguishing between the types to which each path corresponds is the "source" field at return. Giving the answer type facilitates the analyst to get the stopping point of the path and to analyze whether the module outputting the answer by the chat robot is correct.
The step S400 further includes: and when the chat robot stops searching for the answer, the chat robot answers the type. Correspondingly, the step S500 further includes: and outputting the answer type of the chat robot. Answer types as described above, giving an answer type facilitates an analyst to obtain a stopping point for a path and to analyze whether a module of the chat robot outputting answers is correct.
In the step S300, when the chat robot stops searching for an answer, the step of stopping the path marking specifically includes:
s310: stopping the path marking when the chat robot stops searching for the answer; and when the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished.
The step S400 of obtaining the module name called last when the chat robot stops searching for the answer according to the path flag specifically includes:
s410: if the chat robot stops searching for the answer, acquiring the name of the module called finally according to the path mark; and if the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking. For example, in the above-mentioned "1- >2- >3- >4- >5- >7- >8- >9- >10- >11- >12- >13- >14- >15- >16- >17- >20- >19- >21- >22- >23- >24- >25", each code represents a module called by the chat robot in the chat process. If the path marker stops at the code 10, it represents a problem with the module to which the code 10 corresponds. With the path mark, the user can know and acquire the complete path and give a corresponding answer type, so that the user can conveniently and quickly position and investigate the question points.
The step of S500 outputting the last called module name specifically is:
s510 outputs the last called module name or the complete path according to the previous step.
As shown in fig. 4 to fig. 6, as another embodiment of the present application, different from the above embodiment, a system for quickly locating a chat robot problem is further disclosed, where the system 100 applies the above method, and includes a detection module 110, a path marking module 120, an acquisition module 130, and an output module 140.
The detection module 110 is configured to start detection after the chat robot obtains the question information, and track the chat robot to find an answer flow path. The path labeling module 120 is configured to label a path for each module invoked in the chat robot answer-finding process. Further, the path labeling module 120 may be further specifically configured to stop the path labeling when the chat robot stops searching for the answer; and when the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished. The obtaining module 130 is configured to obtain, according to the path flag, a module name that is called last when the chat robot stops searching for an answer. Further, the obtaining module 130 is further configured to obtain the answer type of the chat robot when the chat robot stops searching for the answer; the obtaining module 130 may be further specifically configured to obtain a last called module name according to the path flag if the chat robot stops searching for an answer; and if the chat robot does not stop searching for the answer, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking. The output module 140 is configured to output the last called module name. Further, the output module 140 is specifically configured to output a last called module name or a complete path according to the information acquired by the acquisition module 130.
According to the method and the device, the detection module 110 and the path marking module 120 are arranged on the chat robot, so that the answer path of the whole chat robot can be tracked, and business personnel can conveniently conduct question investigation. The implementation is convenient, the result is quick and clear, and the problem detection efficiency is effectively improved.
Specifically, the detection module 110 includes an input module 111 and a detection sub-module 112. The input module 111 is configured to input and obtain a preset starting value. The detection submodule 112 is configured to start and detect according to a preset starting value obtained by the input module 111.
Specifically, the path labeling module 120 includes an identification module 121 and a path labeling sub-module 122. The identifying module 121 is configured to identify each module invoked in the chat robot answer-finding flow. The path marking sub-module 122 is configured to mark a path of each module with a unique code according to the identification result of the identification module 121.
It should be noted that, on the premise of not affecting the implementation of the specific embodiment, the limitations of the steps involved in the present disclosure are not considered as limiting the order of the steps, and the steps written in the foregoing may be executed first, or executed later, or even executed simultaneously, and as long as the present disclosure can be implemented, all the steps should be considered as belonging to the protection scope of the present disclosure.
The foregoing is a further detailed description of the present application in connection with specific alternative embodiments and it is not intended that the present application be limited to these specific details. For those skilled in the art to which the present application pertains, several simple deductions or substitutions may be made without departing from the concept of the present application, and all should be considered as belonging to the protection scope of the present application.
Claims (10)
1. A method for quickly positioning chat robot problems is characterized by comprising the following steps:
after obtaining the question information, the chat robot starts detection;
carrying out path marking on each module called in the chat robot answer searching process;
stopping the path marking when the chat robot stops searching for the answer;
according to the path mark, acquiring a module name which is called finally when the chat robot stops searching for the answer;
and outputting the name of the module called finally.
2. The method as claimed in claim 1, wherein the step of starting detection after the chat robot obtains the question information comprises:
after obtaining the question information, the chat robot inputs a preset starting value;
detection is initiated.
3. A method for quickly locating a chat robot question according to claim 2, wherein the preset starting value is a specific identification value.
4. The method as claimed in claim 2, wherein the step of performing the path marking on each module called in the process of finding the answer by the chat robot is to perform the path marking on each module by using a unique corresponding code.
5. The method as claimed in claim 1, wherein the step of obtaining the last called module name when the chat robot stops searching for the answer according to the path label further comprises:
obtaining the answer type of the chat robot when the chat robot stops searching the answer;
correspondingly, the step of outputting the last called module name further includes:
and outputting the answer type of the chat robot.
6. The method as claimed in claim 1, wherein the step of stopping the path marking when the chat robot stops searching for the answer is specifically:
stopping the path marking when the chat robot stops searching for the answer; when the chat robot does not stop searching for answers, continuing the path marking until the flow is finished;
the step of obtaining the module name called finally when the chat robot stops searching for the answer according to the path mark specifically comprises:
if the chat robot stops searching for the answer, acquiring the name of the module called finally according to the path mark; if the chat robot does not stop searching answers, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking;
the step of outputting the last called module name specifically comprises:
and outputting the name of the last called module or the complete path according to the last step.
7. A system for quickly locating chat robotic problems, comprising:
the detection module is configured to start detection after the chat robot acquires the question information, and track the chat robot to find an answer flow path;
the path marking module is configured to mark a path of each module called in the chat robot answer searching process;
the obtaining module is configured to obtain a module name which is called finally when the chat robot stops searching for the answer according to the path mark;
an output module configured to output a last called module name.
8. A system for quickly locating chat robot problems as recited in claim 7, wherein said detection module comprises:
an input module configured to input and obtain a preset starting value;
and the detection submodule is configured to start and detect according to the preset starting value acquired by the input module.
9. A system for quickly locating chat robot questions as recited in claim 7, wherein said path labeling module comprises:
the identification module is configured to identify each module called in the chat robot answer searching process;
and the path marking sub-module is configured to mark a path of each module by adopting the unique code according to the identification result of the identification module.
10. A system for quickly locating chat robot questions as recited in claim 7, wherein the path marking module is specifically configured to stop the path marking when the chat robot stops looking for answers; when the chat robot does not stop searching for answers, continuing the path marking until the flow is finished;
the obtaining module is specifically configured to obtain a last called module name according to the path mark if the chat robot stops searching for the answer; if the chat robot does not stop searching answers, continuing the path marking until the flow is finished, and acquiring a complete path according to the path marking;
the output module is specifically configured to output a last called module name or a complete path according to the information acquired by the acquisition module.
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|---|---|---|---|
| CN201911325220.0A CN111159021B (en) | 2019-12-20 | 2019-12-20 | Method and system for quickly positioning chat robot problem |
| CA3165440A CA3165440A1 (en) | 2019-12-20 | 2020-06-19 | Method for fast locating problems of a chatbot and system thereof |
| PCT/CN2020/097004 WO2021120563A1 (en) | 2019-12-20 | 2020-06-19 | Method and system for quickly locating problem in chatbot |
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| CN201911325220.0A CN111159021B (en) | 2019-12-20 | 2019-12-20 | Method and system for quickly positioning chat robot problem |
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| CN111159021B true CN111159021B (en) | 2022-12-23 |
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| US6047323A (en) * | 1995-10-19 | 2000-04-04 | Hewlett-Packard Company | Creation and migration of distributed streams in clusters of networked computers |
| US20180203851A1 (en) * | 2017-01-13 | 2018-07-19 | Microsoft Technology Licensing, Llc | Systems and methods for automated haiku chatting |
| CN108388635B (en) * | 2018-02-24 | 2021-08-03 | 杭州朗和科技有限公司 | Data searching method, device, medium and computing equipment |
| CN109117378B (en) * | 2018-08-31 | 2020-02-14 | 百度在线网络技术（北京）有限公司 | Method and apparatus for displaying information |
| CN109525480B (en) * | 2018-09-14 | 2021-09-10 | 阿里巴巴（中国）有限公司 | User question collection system and method |
| CN109714491B (en) * | 2019-02-26 | 2021-05-14 | 上海凯岸信息科技有限公司 | Intelligent voice outbound detection system based on voice mailbox |
| CN110069600A (en) * | 2019-03-26 | 2019-07-30 | 上海拍拍贷金融信息服务有限公司 | Dialogue method and device, computer readable storage medium |
| CN111159021B (en) * | 2019-12-20 | 2022-12-23 | 苏宁云计算有限公司 | Method and system for quickly positioning chat robot problem |
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