CN102681929A - Webpage script error monitoring method and system - Google Patents
Webpage script error monitoring method and system Download PDFInfo
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- CN102681929A CN102681929A CN2011100622612A CN201110062261A CN102681929A CN 102681929 A CN102681929 A CN 102681929A CN 2011100622612 A CN2011100622612 A CN 2011100622612A CN 201110062261 A CN201110062261 A CN 201110062261A CN 102681929 A CN102681929 A CN 102681929A
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Abstract
The invention discloses a webpage script error monitoring method. The method comprises the following steps: capturing a webpage script error, and reporting error information; collecting the error information, and generating a log file according to the error information; analyzing the data of the log file; and generating the monitoring data according to an analysis result. According to the method provided by the invention, the webpage script error can be monitored in real time so as to correctly position and repair the webpage script error more conveniently. Furthermore, the invention further provides a webpage script error monitoring system.
Description
[technical field]
The present invention relates to networking technology area, relate in particular to a kind of page script error monitoring method and system.
[background technology]
Page script is meant the shell script that operates in the user browser end.Page script not only can reduce the scale and raising web page browsing speed of webpage, can also enrich the performance of webpage, like animation, sound etc.Common page script has JavaScript, VBScript etc.Page script can influence the performance of web page browsing speed and webpage when mistake occurring, therefore need monitor the reparation so that the developer follows up to the page script mistake.
Traditional page script error monitoring method mainly passes through the manual testing; Specifically be according to the concrete function in the test case accessed web page; Whether in operating process, detect the use-case function conforms to expection; Check in this process perhaps whether browser points out script error, and the developer carries out positioning problems and reparation according to the script error and the various debugging acid of browser prompts again.In addition, position and the mis repair code through the abnormal information of obtaining user feedback in addition.
Yet; Traditional this page script error monitoring method some unpredictable situation still can occur after test is accomplished and cause code to be made mistakes, and the abnormal information of obtaining user feedback positions and repairs; Because having brought to the user, the page script mistake experiences injury again; And not all user can play an active part in the problem feedback, experiences and can not in time be fed back for some little mistakes, thereby causes the location and repair inaccurate.
[summary of the invention]
Based on this, being necessary to provide a kind of can monitor the page script mistake in real time, thereby can make things convenient for the page script error monitoring method that carries out location of mistake and reparation more accurately.
A kind of page script error monitoring method may further comprise the steps:
Catching net page script mistake reports error message;
Collect said error message, generate journal file according to said error message;
Said journal file is carried out data analysis;
Generate monitor data according to analysis result.
Preferably, said catching net page script wrong step is: the leader through being deployed in the HTML code is signed the page script error trapping code catching net page script mistake in the zone.
Preferably, the said step that journal file is carried out data analysis comprises:
Add up the network address amount of error in the said journal file;
According to said network address amount of error network address is sorted, choose first a predetermined number forward network address of ordering, generate network address amount of error statistical information.
Preferably, the said step that journal file is carried out data analysis also comprises:
Add up the wrong keyword frequency in the said journal file;
According to said wrong keyword frequency wrong keyword is sorted, choose second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
Preferably, said step according to analysis result generation monitor data is:
According to said network address amount of error statistical information, generate network address amount of error and time relation data;
According to said wrong keyword statistical information, generation error keyword frequency and time relation data.
In addition, also being necessary to provide a kind of can monitor the page script mistake in real time, thereby can make things convenient for the page script error monitoring system that carries out location of mistake and reparation more accurately.
A kind of page script error monitoring system comprises:
The script error capture module is used for catching net page script mistake, and error message is reported;
Statistical server is used to collect said error message, generates journal file according to said error message;
The log analysis module is used for said journal file is carried out data analysis;
Monitoring module is used for generating monitor data according to analysis result.
Preferably, said script error capture module is used for signing through the leader that is deployed in the HTML code page script error trapping code catching net page script mistake in zone.
Preferably, said log analysis module is used for adding up the network address amount of error of said journal file, according to said network address amount of error network address is sorted, and chooses first a predetermined number forward network address of ordering, generates network address amount of error statistical information.
Preferably; Said log analysis module also is used for adding up the wrong keyword frequency of said journal file; According to said wrong keyword frequency wrong keyword is sorted, choose second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
Preferably, said monitoring module also is used for according to said network address amount of error statistical information, generates network address amount of error and time relation data, and according to said wrong keyword statistical information, generation error keyword frequency and time relation data.
Above-mentioned page script error monitoring method and system through catching net page script mistake, report statistical server with error message, and statistical server is collected error message, generate journal file, and the journal file that generates is carried out generating monitor data after the data analysis.Owing to can capture the page script mistake in real time; Therefore can carry out real-time monitoring to the page script mistake; Make the developer can find the various script errors that cause unusually in user's use timely, thereby can more conveniently carry out location of mistake and reparation accurately.
[description of drawings]
Fig. 1 is the process flow diagram of page script error monitoring method among the embodiment;
The method flow diagram of Fig. 2 among Fig. 1 journal file being carried out data analysis;
The method flow diagram of Fig. 3 among another embodiment journal file being carried out data analysis;
Fig. 4 is the curve map of network address amount of error and time relation data among the embodiment;
Fig. 5 is the curve map of network address amount of error and time relation data among another embodiment;
Fig. 6 is the structural representation of page script error monitoring system among the embodiment.
[embodiment]
As shown in Figure 1, in one embodiment, a kind of page script error monitoring method specifically may further comprise the steps:
Step S10, catching net page script mistake reports error message.
In one embodiment, among the step S10, through the page script error trapping code catching net page script mistake in head (head) label area that is deployed in the HTML(Hypertext Markup Language) code.Page script error trapping code portions is deployed in the foremost of the page, and can prevent has script to occur wrong in the webpage front and can't capture.
When mistake appears in page script, can trigger the onerror incident (error event) of browser, can capture the page script mistake, obtain the error message of script error through the page script error code.These error messages comprise one or more of following information: row of the network address of browser version, IP address, the page of makeing mistakes, the network address of the code file of makeing mistakes, error description information, the code of makeing mistakes number etc.These error messages are packaged into the Http request report to statistical server.
Step S20 collects error message, generates journal file according to error message.
Statistical server is collected these error messages, from these error messages, extracts relevant information and is written in the journal file, and the relevant information of extraction comprises the row number of network address, the error description information of the network address of the page of makeing mistakes, the code file of makeing mistakes, the code of makeing mistakes etc.
Step S30 carries out data analysis to journal file.
In one embodiment, as shown in Figure 2, the detailed process of step S30 is:
Step S302, the network address amount of error in the accounting log file.
Preferably, the journal file that every day, timing extraction was generated the previous day, the network address amount of error in the accounting log file, promptly the number of times of script error appears in each network address.
Step S304 sorts to network address according to the network address amount of error, chooses first a predetermined number forward network address of ordering, generates network address amount of error statistical information.
To the network address that writes down in the journal file, network address is sorted according to the network address amount of error of adding up.For example, can choose preceding 100 network address that ordering is forward, generate network address amount of error statistical information.Write down the corresponding relation of the number of times that network address and network address make mistakes in the network address amount of error statistical information, like " 31094http: //www.paipai.com ", " 31094 " number of times of makeing mistakes wherein for network address www.paipai.com.
In other embodiments, the network address for some specific needs are monitored in real time can be recorded in forward position in the network address amount of error statistical information with the number of times that the network address of these network address and correspondence is made mistakes, so that can monitor the situation that these network address are made mistakes in real time.
In another embodiment, as shown in Figure 3, the detailed process of step S30 is:
Step S310, the wrong keyword frequency in the accounting log file.
Preferably; The journal file that every day, timing extraction was generated the previous day; Owing to write down the information such as row number of network address, the error description information of the network address of the page of makeing mistakes, the code file of makeing mistakes, the code of makeing mistakes in the journal file; From the error description language, extract wrong keyword, and the wrong keyword frequency in the accounting log file, promptly wrong keyword occurrence number.
Step S320 sorts to wrong keyword according to wrong keyword frequency, chooses second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
For the wrong keyword that writes down in the journal file, the number of times that occurs according to wrong keyword comes wrong keyword is sorted.For example, can choose preceding 100 wrong keywords that ordering is forward, generation error keyword statistical information.Among this embodiment,, add up according to the wrong keyword that each Main Domain is corresponding to journal file.Write down the corresponding relation of wrong keyword occurrence number, mistake keyword and Main Domain in the mistake keyword statistical information.For example, write down " 184916 lack object www.paipai.com " in the mistake keyword statistical information, wherein, the number of times that " 184916 " occur for the wrong keyword in the Main Domain " www.paipai.com " " lacks object ".
In a preferred embodiment, both execution in step S302 and step S304, execution in step S310 and step S320 again.Among this embodiment, both generated network address amount of error statistical information, generation error keyword statistical information is come the web page monitored script error through network address amount of error statistical information and wrong keyword statistical information again.
Step S40 generates monitor data according to analysis result.
Analysis result is the network address amount of error statistical information and/or the wrong keyword statistical information of above-mentioned generation.According to network address amount of error statistical information, can generate network address amount of error and time relation data.According to wrong keyword statistical information, but generation error keyword frequency and time relation data.
Because can catch code through script error captures script error in real time; Error message can real-time report be given statistical server; And regularly the journal file that generates is carried out data analysis, and therefore can carry out real-time monitoring to the page script mistake, the monitor data of generation sends to the developer in real time; Make the developer can find the various script errors that cause unusually in user's use timely, thereby can carry out location of mistake and reparation more accurately.
For different network address, can generate network address amount of error and time relation data.As shown in Figure 4; The corresponding network address of every curve shown in the figure; Each node represents this network address within a certain period of time (as one day; T is the date on the same day among the figure) amount of error (being the number of times that network address is made mistakes) m, according to this relation data view, can be very image check each network address wrong variation tendency within a certain period of time.In like manner, mistake keyword frequency and time relation data also can adopt curve map as shown in Figure 4 to represent, its method principle is identical, then repeats no more at this.
As shown in Figure 5, when bigger variation takes place curve, can this relation data be sent to the developer through note or mail.The developer can mark reason of changes on this curve map, for example marking this curvilinear motion is because new function issue or leak reparation cause, thereby can more effective the page script mistake be positioned.
As shown in Figure 6, in one embodiment, a kind of page script error monitoring system comprises script error capture module 100, statistical server 200, log analysis module 300 and monitoring module 400, wherein:
Script error capture module 100 is used for catching net page script mistake, and error message is reported.
In one embodiment, script error capture module 100 is signed the page script error trapping code catching net page script mistake in the zone through the leader that is deployed in the HTML code.Page script error trapping code portions is deployed in the foremost of the page, and can prevent has script to occur wrong in the webpage front and can't capture.
When mistake appears in page script, can trigger the onerror incident (error event) of browser, script error capture module 100 captures the page script mistake, obtains the error message of script error.These error messages comprise one or more of following information: row of the network address of browser version, IP address, the page of makeing mistakes, the network address of the code file of makeing mistakes, error description information, the code of makeing mistakes number etc.Script error capture module 100 is packaged into the Http request with these error messages and reports to statistical server 200.
In one embodiment, log analysis module 300 is used for the network address amount of error of accounting log file, according to the network address amount of error network address is sorted, and chooses first a predetermined number forward network address of ordering, generates network address amount of error statistical information.
Preferably, the journal file that generated the previous day of log analysis module timing extraction 300 every day carries out data analysis.The network address amount of error is meant that the number of times of script error appears in network address, and for the network address that writes down in the journal file, the number of times of makeing mistakes according to network address sorts to network address.For example, can choose preceding 100 network address that ordering is forward, generate network address amount of error statistical information.Write down the corresponding relation of the number of times that network address and network address make mistakes in the network address amount of error statistical information.
In other embodiments; Network address for the real-time monitoring of some specific needs; Can the number of times that the network address of these network address and correspondence is made mistakes be recorded in forward position in the said network address amount of error statistical information, so that can monitor the situation that these network address are made mistakes in real time.
In another embodiment; Log analysis module 300 is used for the wrong keyword frequency of accounting log file; According to wrong keyword frequency wrong keyword is sorted, choose second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
Preferably; The journal file that log analysis module timing extraction 300 every day is generated the previous day; Owing to write down the information such as row number of network address, the error description information of the network address of the page of makeing mistakes, the code file of makeing mistakes, the code of makeing mistakes in the journal file; Log analysis module 300 is extracted wrong keyword from the error description language, and the wrong keyword frequency in the accounting log file, promptly wrong keyword occurrence number.For the wrong keyword that writes down in the journal file, the number of times that occurs according to wrong keyword comes wrong keyword is sorted.
For example, can choose preceding 100 forward wrong keywords of ordering, generation error keyword statistical information.Among this embodiment,, add up according to the wrong keyword that each Main Domain is corresponding to journal file.Write down the corresponding relation of wrong keyword occurrence number, mistake keyword and Main Domain in the mistake keyword statistical information.
In a preferred embodiment, monitoring module 400 also is used for according to network address amount of error statistical information, generates network address amount of error and time relation data, and according to wrong keyword statistical information, generation error keyword frequency and time relation data.
In a preferred embodiment, like Fig. 4 and shown in Figure 5, can adopt curve map to describe network address amount of error and time relation data and wrong keyword frequency and time relation data.Specifically as stated, then repeat no more at this.
The above embodiment has only expressed several kinds of embodiments of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with accompanying claims.
Claims (10)
1. page script error monitoring method may further comprise the steps:
Catching net page script mistake reports error message;
Collect said error message, generate journal file according to said error message;
Said journal file is carried out data analysis;
Generate monitor data according to analysis result.
2. page script error monitoring method according to claim 1; It is characterized in that said catching net page script wrong step is: the leader through being deployed in the HTML code is signed the page script error trapping code catching net page script mistake in the zone.
3. page script error monitoring method according to claim 1 is characterized in that, the said step that journal file is carried out data analysis comprises:
Add up the network address amount of error in the said journal file;
According to said network address amount of error network address is sorted, choose first a predetermined number forward network address of ordering, generate network address amount of error statistical information.
4. according to claim 1 or 3 described page script error monitoring methods, it is characterized in that the said step that journal file is carried out data analysis also comprises:
Add up the wrong keyword frequency in the said journal file;
According to said wrong keyword frequency wrong keyword is sorted, choose second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
5. page script error monitoring method according to claim 4 is characterized in that, said step according to analysis result generation monitor data is:
According to said network address amount of error statistical information, generate network address amount of error and time relation data; Or/and
According to said wrong keyword statistical information, generation error keyword frequency and time relation data.
6. a page script error monitoring system is characterized in that, comprising:
The script error capture module is used for catching net page script mistake, and error message is reported;
Statistical server is used to collect said error message, generates journal file according to said error message;
The log analysis module is used for said journal file is carried out data analysis;
Monitoring module is used for generating monitor data according to analysis result.
7. page script error monitoring according to claim 6 system is characterized in that,
Said script error capture module is used for signing through the leader that is deployed in the HTML code page script error trapping code catching net page script mistake in zone.
8. page script error monitoring according to claim 6 system; It is characterized in that; Said log analysis module is used for adding up the network address amount of error of said journal file; According to said network address amount of error network address is sorted, choose first a predetermined number forward network address of ordering, generate network address amount of error statistical information.
9. according to claim 6 or 8 described page script error monitoring systems; It is characterized in that; Said log analysis module also is used for adding up the wrong keyword frequency of said journal file; According to said wrong keyword frequency wrong keyword is sorted, choose second a predetermined number forward wrong keyword of ordering, generation error keyword statistical information.
10. page script error monitoring according to claim 9 system; It is characterized in that; Said monitoring module also is used for according to said network address amount of error statistical information; Generate network address amount of error and time relation data, or/and according to said wrong keyword statistical information, generation error keyword frequency and time relation data.
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CN109948025A (en) * | 2019-03-20 | 2019-06-28 | 上海古鳌电子科技股份有限公司 | A kind of data referencing recording method |
CN110147292A (en) * | 2019-04-15 | 2019-08-20 | 平安普惠企业管理有限公司 | Monitoring method, device, storage medium and the computer equipment of webpage exception |
CN110569167A (en) * | 2019-08-20 | 2019-12-13 | 腾讯科技(深圳)有限公司 | webpage alarm monitoring method, script error reporting method, device and computer equipment |
CN110569167B (en) * | 2019-08-20 | 2022-05-27 | 腾讯科技(深圳)有限公司 | Webpage alarm monitoring method, script error reporting method, device and computer equipment |
CN112069034A (en) * | 2020-09-22 | 2020-12-11 | 深圳市欢太科技有限公司 | Fast application exception handling method and device, electronic equipment and storage medium |
CN112422345A (en) * | 2020-11-18 | 2021-02-26 | 青岛海尔科技有限公司 | Log transmission method and device, storage medium and electronic device |
CN113377563A (en) * | 2021-06-01 | 2021-09-10 | 北京齐尔布莱特科技有限公司 | Webpage monitoring method and computing device |
CN113377563B (en) * | 2021-06-01 | 2024-02-23 | 北京齐尔布莱特科技有限公司 | Webpage monitoring method and computing device |
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