CN110267215A - A kind of data detection method, equipment and storage medium - Google Patents
A kind of data detection method, equipment and storage medium Download PDFInfo
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- CN110267215A CN110267215A CN201910422007.5A CN201910422007A CN110267215A CN 110267215 A CN110267215 A CN 110267215A CN 201910422007 A CN201910422007 A CN 201910422007A CN 110267215 A CN110267215 A CN 110267215A
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
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- H—ELECTRICITY
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- H—ELECTRICITY
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- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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Abstract
The embodiment of the present invention discloses a kind of data detection method, equipment and storage medium, and this method is suitable for the application of testing tool, and wherein method includes the following steps: to obtain query object information and application program identification from described program script file；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the corresponding detection priority of the multiple detected rule information, anomaly analysis successively is carried out to query object information, obtain analysis result；When in the multiple detected rule information there are the corresponding analysis result of target detection Rule Information be abnormal results when, stop carrying out anomaly analysis to query object information, and error reason information is determined according to the corresponding analysis result of the target detection Rule Information, and the error reason information is exported and is shown.Using the present invention, it is possible to reduce it is time-consuming to reduce abnormal problem positioning for cost of labor.
Description
Technical field
The present invention relates to electronic technology field more particularly to a kind of data detection methods, equipment and storage medium.
Background technique
Nowadays computer technology is used more and more extensive, and the mobile terminals such as mobile phone, computer play key player, even
It is the bridge linked up, for example, user can receive the PUSH message that message center is sent by the application program in mobile terminal,
But there can be the case where user possibly can not receive message after message desk message pushes simultaneously, such as some credit card repayments
Short message or some important prompting messages, when user does not receive message, since data base authority problem can not connect data
Message is inquired in library, it is common practice to contact developer's inquiry log to judge message transmission success or not and look into
It askes the reason of sending failure, but for the abnormal problem of some easy analyses, it is also indiscriminate to be carried out manually by developer
Detection can considerably increase cost of labor, and when developer is relatively busy, can not necessarily detect abnormal ask in time
Topic causes abnormal problem positioning to take a long time.
Summary of the invention
The embodiment of the present invention provides a kind of data detection method, equipment and storage medium, it is possible to reduce cost of labor is reduced
Abnormal problem positioning is time-consuming.
On the one hand the embodiment of the present invention provides a kind of data detection method, it may include:
Query object information and application program identification are obtained from described program script file；
Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple
The corresponding detection priority of detected rule information successively carries out anomaly analysis to query object information, obtains analysis result；
It is tied when there are the corresponding analysis results of target detection Rule Information in the multiple detected rule information to be abnormal
When fruit, stop carrying out anomaly analysis to query object information, and according to the corresponding analysis result of the target detection Rule Information
It determines error reason information, and the error reason information is exported and is shown.
Wherein, described to obtain multiple detected rule information, root from the corresponding inquiry database of the application program identification
According to the corresponding detection priority of the multiple detected rule information, anomaly analysis successively is carried out to query object information, is obtained
To analysis result, comprising:
Initial detecting Rule Information is obtained from the multiple detected rule information；The initial detecting Rule Information is not
With the detected rule information of highest rule prioritization in detected rule information for carrying out anomaly analysis；
The analysis result for being directed to the query object information is generated based on the initial detecting Rule Information；
If the corresponding analysis result of initial detecting Rule Information be it is normal as a result, if will be next according to rule prioritization sequence
A detected rule information is as the initial detecting Rule Information, until there are the corresponding analysis results of target detection Rule Information
It is normal outcome for abnormal results or the corresponding analysis result of all detected rule information.
Wherein, described that the corresponding analysis knot of the initial detecting Rule Information is obtained based on the initial detecting Rule Information
Fruit, comprising:
It is inquired from binding data library according to the query object information with the presence or absence of related to the query object information
The bound object collection of connection, and generate the first query result；
If first query result is that the bound object collection is not present in binding relationship database, analysis knot is exported
Fruit is abnormal results；
If first query result is to export analysis result there are the bound object collection in binding relationship database
For normal outcome.
Wherein, described inquired from binding data library according to the query object information whether there is and the query object
The associated bound object collection of information, and generate the first query result, comprising:
The corresponding user's letter of the query object information is obtained from the corresponding first database of the application program identification
Breath；
Inquiry whether there is bound object collection corresponding with the user information from binding data library, and generates first and look into
Ask result.
Wherein, described that the corresponding analysis knot of the initial detecting Rule Information is obtained based on the initial detecting Rule Information
Fruit, comprising:
The corresponding address information of user information that platform is concentrated to bound object is pushed by message and sends test information, is obtained
The corresponding task identification of the test information for taking the message push platform to generate, and receive the test post corresponding time
Hold information；
If the acknowledgement information is to send failure information, exporting analysis result is abnormal results；
If the acknowledgement information is to send successful information, exporting analysis result is normal outcome.
Wherein, described that platform is pushed to the corresponding address information transmission of user information described in bound object collection by message
Information is tested, obtains the corresponding task identification of the test information that the message push platform generates, and receive the test
The corresponding acknowledgement information of message, comprising:
Bound object collection associated with the user information is obtained, obtains from the bound object collection and believes with the user
Cease corresponding address information and application program identification；
The corresponding test information of the application program identification is obtained from message push platform, obtains the message push
The corresponding task identification of the test information that platform generates；
The test information is sent to the corresponding address information of the user information, and it is corresponding to receive the test post
Acknowledgement information.
Wherein, described that the corresponding analysis knot of the initial detecting Rule Information is obtained based on the initial detecting Rule Information
Fruit, comprising:
The test information that platform is sent to address information is pushed with the presence or absence of by message in detection information storage list, and
The second query result is exported, the information storage list is used to store the historical information for pushing away transmission；
If second query result is that information stores in list there is no the test information, exporting analysis result is
Abnormal results；
If second query result is that there are the test information in information storage list, exports analysis result and be positive
Normal result.
Wherein, described that the corresponding analysis knot of the initial detecting Rule Information is obtained based on the initial detecting Rule Information
Fruit, comprising:
The corresponding Template Information of test information is obtained, and is detected in the Template Information with the presence or absence of message sending strategy；
If there are message sending strategys in the Template Information, exporting analysis result is abnormal results；
If message sending strategy is not present in the Template Information, exporting analysis result is normal outcome.
Wherein, further includes:
When the corresponding analysis result of detected rule information all in the multiple detected rule information is normal outcome
When, stop carrying out anomaly analysis to query object information, and true according to the corresponding analysis result of the multiple detected rule information
Determine error reason information, and the error reason information is exported and is shown.
On the one hand the embodiment of the present invention provides a kind of data-detection apparatus, it may include:
Message identification obtains module, for obtaining query object information and application program mark from described program script file
Know；
Anomaly analysis module, for obtaining multiple detected rules from the corresponding inquiry database of the application program identification
Information successively carries out query object information abnormal according to the corresponding detection priority of the multiple detected rule information
Analysis obtains analysis result；
First abnormal cause display module, for when there are target detection rule letters in the multiple detected rule information
Cease corresponding analysis result be abnormal results when, stop to query object information carry out anomaly analysis, and according to the target examine
It surveys the corresponding analysis result of Rule Information and determines error reason information, and the error reason information is exported and is shown.
Wherein, the anomaly analysis module includes:
Rule Information acquiring unit, for obtaining initial detecting Rule Information from the multiple detected rule information；Institute
Stating initial detecting Rule Information is the inspection in the detected rule information for being not used for carrying out anomaly analysis with highest rule prioritization
Survey Rule Information；
Anomaly analysis unit, for generating point for the query object information based on the initial detecting Rule Information
Analyse result；
Rule setting unit, for if the corresponding analysis result of initial detecting Rule Information be normally as a result, if according to rule
Then priority orders are using next detected rule information as the initial detecting Rule Information, until there are target detection rules
The corresponding analysis result of information is abnormal results or the corresponding analysis result of all detected rule information is normal outcome.
Wherein, the anomaly analysis unit includes:
First anomaly analysis subelement whether there is for being inquired from binding data library according to the query object information
Bound object collection associated with the query object information, and generate the first query result；
First output subelement, if being that the binding is not present in binding relationship database for first query result
Object set, then exporting analysis result is abnormal results；If first query result is in binding relationship database in the presence of described
Bound object collection, then exporting analysis result is normal outcome.
Wherein, the first anomaly analysis subelement is specifically used for:
The corresponding user's letter of the query object information is obtained from the corresponding first database of the application program identification
Breath；
Inquiry whether there is bound object collection corresponding with the user information from binding data library, and generates first and look into
Ask result.
Wherein, the anomaly analysis unit includes:
Second anomaly analysis subelement, it is corresponding for pushing the user information that platform is concentrated to bound object by message
Address information sends test information, obtains the corresponding task identification of the test information that the message push platform generates, and
Receive the corresponding acknowledgement information of the test post；
Second output subelement, if being to send failure information for the acknowledgement information, it is abnormal for exporting analysis result
As a result；If the acknowledgement information is to send successful information, exporting analysis result is normal outcome.
Wherein, the second anomaly analysis subelement is specifically used for:
Bound object collection associated with the user information is obtained, obtains from the bound object collection and believes with the user
Cease corresponding address information and application program identification；
The corresponding test information of the application program identification is obtained from message push platform, obtains the message push
The corresponding task identification of the test information that platform generates；
The test information is sent to the corresponding address information of the user information, and it is corresponding to receive the test post
Acknowledgement information.
Wherein, the anomaly analysis unit includes:
Third anomaly analysis subelement, for pushing platform to ground with the presence or absence of by message in detection information storage list
The test information that location information is sent, and export the second query result, information storage list push away going through for transmission for storing
History information；
Third exports subelement, if being that there is no the tests to believe in information storage list for second query result
Breath, then exporting analysis result is abnormal results；If second query result is that there are test letters in information storage list
Breath, then exporting analysis result is normal outcome.
Wherein, the anomaly analysis unit includes:
4th anomaly analysis subelement for obtaining the corresponding Template Information of test information, and detects the Template Information
In whether there is message sending strategy；
4th output subelement, if for, there are message sending strategy, exporting analysis result to be in the Template Information
Abnormal results；If message sending strategy is not present in the Template Information, exporting analysis result is normal outcome.
Wherein, further includes:
Second abnormal cause display module, for when detected rule information pair all in the multiple detected rule information
When the analysis result answered is normal outcome, stop carrying out anomaly analysis to query object information, and according to the multiple detection
The corresponding analysis result of Rule Information determines error reason information, and the error reason information is exported and is shown.
On the one hand the embodiment of the present invention provides a kind of computer storage medium, the computer storage medium is stored with more
Item instruction, described instruction are suitable for being loaded by processor and executing above-mentioned method and step.
On the one hand the embodiment of the present invention provides a kind of data-detection apparatus, including processor and memory；Wherein, described
Memory is stored with computer program, and the computer program is suitable for being loaded by the processor and being executed above-mentioned method step
Suddenly.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, using multiple detected rule information, according to detection priority successively to inquiry
The problem of object information carries out anomaly analysis, and precise positioning can not receive PUSH message to mobile terminal, solves in exploit person
When member is relatively busy, the case where capable of not necessarily detecting abnormal problem in time, avoids and the exception of some easy analyses is asked
Topic is also indiscriminate to carry out artificial detection by developer, reduces cost of labor, and it is time-consuming to reduce abnormal problem positioning.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of data detection method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of another data detection method provided in an embodiment of the present invention；
Fig. 3 is a kind of example schematic of data detection method provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of data-detection apparatus provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram of another data-detection apparatus provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram of anomaly analysis module provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram of anomaly analysis unit provided in an embodiment of the present invention；
Fig. 8 is the structural schematic diagram of another anomaly analysis unit provided in an embodiment of the present invention；
Fig. 9 is the structural schematic diagram of another anomaly analysis unit provided in an embodiment of the present invention；
Figure 10 is the structural schematic diagram of another anomaly analysis unit provided in an embodiment of the present invention；
Figure 11 is the structural schematic diagram of another data-detection apparatus provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Data detection method provided in an embodiment of the present invention can be applied to that mobile terminal can not be received pushed information into
Row positioning problems, specifically, data-detection apparatus obtains query object information and application program from described program script file
Mark；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple inspection
The corresponding detection priority of Rule Information is surveyed, anomaly analysis successively is carried out to query object information, obtains analysis result；When
In the multiple detected rule information there are the corresponding analysis result of target detection Rule Information be abnormal results when, stop pair
Query object information carries out anomaly analysis, and determines error reason according to the corresponding analysis result of the target detection Rule Information
Information, and the error reason information is exported and is shown, using multiple detected rule information, according to detection priority successively to looking into
The problem of inquiry object information carries out anomaly analysis, and precise positioning can not receive PUSH message to mobile terminal, solves and is developing
When personnel are relatively busy, the case where capable of not necessarily detecting abnormal problem in time, the exception for some easy analyses is avoided
Problem is also indiscriminate to carry out artificial detection by developer, reduces cost of labor, and it is time-consuming to reduce abnormal problem positioning.
The present embodiments relate to data-detection apparatus may include: tablet computer, PC (PC), notebook electricity
Brain, palm PC and terminal server etc. have the end for carrying out anomaly analysis to query object information according to detected rule information
End equipment.
Referring to Figure 1, for the embodiment of the invention provides a kind of flow diagrams of data detection method.As shown in Figure 1,
The embodiment of the present invention the method may include following steps S101- step S104.
S101 obtains query object information and application program identification from described program script file；
Specifically, data-detection apparatus obtains query object information and application program mark from described program script file
Know, it is to be understood that the query object information is letter associated with user information of the user in the application program
Breath, specifically can be the phone number of user, the application program identification is the corresponding unique label of application program, can
Be the title of application program, application icon or be application program exclusive identification code, described program script file is
The computer program that can be run on information processing equipment, may include in described program script file query object information and
Application program identification also may include query object information and the corresponding storage of application program identification in described program script file
Address, data-detection apparatus obtain query object information and application program identification from the storage address.
S102 obtains multiple detected rule information from the corresponding inquiry database of the application program identification, according to institute
The corresponding detection priority of multiple detected rule information is stated, anomaly analysis successively is carried out to query object information, is divided
Analyse result；
Specifically, data-detection apparatus obtains multiple detection rule from the corresponding inquiry database of the application program identification
Then information successively carries out query object information different according to the corresponding detection priority of the multiple detected rule information
Often analysis obtains analysis result, it is to be understood that the inquiry database is for storing detected rule information, the inquiry
At least one detected rule information in database, the detected rule information are to carry out anomaly analysis to query object information
Testing conditions, the detection priority are to carry out the successive of anomaly analysis to query object information according to the detected rule information
Sequentially, data-detection apparatus successively carries out abnormal point to query object information from the detected rule information of detection highest priority
Analysis, is analyzed as a result, the analysis result includes abnormal results and normal outcome.
S103, when in the multiple detected rule information there are the corresponding analysis result of target detection Rule Information be it is different
When normal result, stop carrying out anomaly analysis to query object information, and according to the corresponding analysis of the target detection Rule Information
As a result it determines error reason information, and the error reason information is exported and is shown.
Specifically, data-detection apparatus is when there are target detection Rule Informations to correspond in the multiple detected rule information
Analysis result when being abnormal results, stop carrying out query object information anomaly analysis, and according to target detection rule
The corresponding analysis result of information determines error reason information, and the error reason information is exported and is shown, it is to be understood that
The target detection Rule Information is any one in the multiple detected rule information, when target detection Rule Information is corresponding
Analysis result be abnormal results when, stop to query object information carry out anomaly analysis, and according to the abnormal results determine
Error reason information, and the error reason information is exported and is shown, it is corresponding that the error reason information can be abnormal results
Specific error reason, be also possible to the corresponding error identification of the abnormal results, further according to the error identification obtain have
The error reason of body.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, using multiple detected rule information, successively query object information is carried out different
The problem of often analysis, precise positioning can not receive PUSH message to mobile terminal, solves when developer is relatively busy, no
The case where abnormal problem can centainly be detected in time, avoids also indiscriminate by opening for the abnormal problem of some easy analyses
Hair personnel carry out artificial detection, reduce cost of labor, and it is time-consuming to reduce abnormal problem positioning.
Fig. 2 is referred to, for the embodiment of the invention provides a kind of flow diagrams of data detection method.As shown in Fig. 2,
The embodiment of the present invention the method may include following steps S201- step S206.
S201 obtains query object information and application program identification from described program script file；
S202 obtains initial detecting Rule Information from the multiple detected rule information；The initial detecting rule letter
Detected rule information with highest rule prioritization in detected rule information of the breath to be not used for carrying out anomaly analysis；
Specifically, data-detection apparatus obtains initial detecting Rule Information from the multiple detected rule information；It is described
Initial detecting Rule Information is the detection in the detected rule information for being not used for carrying out anomaly analysis with highest rule prioritization
Rule Information.
S203 generates the analysis result for being directed to the query object information based on the initial detecting Rule Information；
Specifically, data-detection apparatus is generated based on the initial detecting Rule Information for the query object information
Analyze result, it is to be understood that data-detection apparatus is based on the initial detecting Rule Information and carries out to query object information
Anomaly analysis obtains analysis result.
When the initial detecting Rule Information is bound object collection, data-detection apparatus is according to the query object information
Inquiry whether there is bound object collection associated with the query object information from binding data library, and generate the first inquiry
As a result；
It is understood that storing bound object collection in the binding data library, it includes user that the bound object, which is concentrated,
Information, user information corresponding address information and the corresponding application program identification of user information and the user information and described
Binding relationship between address information, the binding relationship are a kind of incidence relation, the query object information and user information
It is one-to-one relationship, data-detection apparatus is inquired from binding data library according to the query object information whether there is and institute
The associated bound object collection of query object information is stated, and generates the first query result；
Specifically, data-detection apparatus obtains the inquiry pair from the corresponding first database of the application program identification
The corresponding user information of image information；Inquiry whether there is bound object corresponding with the user information from binding data library
Collection, and generate the first query result, it is to be understood that it is stored with query object information in the first database and described looks into
The corresponding user information of object information is ask, data-detection apparatus obtains the query object information pair from the first database
The user information answered, inquiry whether there is bound object collection corresponding with the user information from binding data library, and generate
First query result；
If first query result is that the bound object collection is not present in binding relationship database, analysis knot is exported
Fruit is abnormal results；If first query result is that there are the bound object collection, outputs point in binding relationship database
Analysis result is normal outcome.
When the initial detecting Rule Information is test information, data-detection apparatus pushes platform to binding by message
The corresponding address information of user information in object set sends test information, obtains the survey that the message push platform generates
The corresponding task identification of information is tried, and receives the corresponding acknowledgement information of the test post；
Specifically, data-detection apparatus obtains bound object collection associated with the user information, from the binding pair
As collection obtains address information corresponding with the user information and application program identification；Described in message push platform acquisition
The corresponding test information of application program identification obtains the corresponding task mark of the test information that the message push platform generates
Know；The test information is sent to the corresponding address information of the user information, and is received the test post corresponding time
Hold information；
It is understood that data-detection apparatus obtains bound object collection associated with the user information, it is described to tie up
Determine to include user information, the corresponding address information of the user information, the corresponding application program of the user information in object set
Mark, the address information is the address of virtual terminal, specifically it can be understood that the information sends address for virtual machine
Location, data-detection apparatus obtain address information corresponding with the user information and application program mark from the bound object collection
Know, obtains the corresponding test information of the application program identification from message push platform, the test information is to address
The information to be sent that information is sent, the test information can be pre-set information, what the message push platform generated
The corresponding task identification of the test information, it is corresponding that the test information is sent to the user information by data-detection apparatus
Address information, and receive the corresponding acknowledgement information of the test post；
If the acknowledgement information is to send failure information, exporting analysis result is abnormal results；If the acknowledgement information
To send successful information, then exporting analysis result is normal outcome.
When the initial detecting Rule Information is information storage list, data-detection apparatus detection information is stored in list
The test information that platform is sent to address information is pushed with the presence or absence of by message, and exports the second query result, the information
Storage list is used to store the historical information for pushing away transmission；
Specifically, the historical information in the information storage list carries user information, address information and history letter
Cease corresponding task identification, data-detection apparatus detection information store in list with the presence or absence of user information, address information and
Task identification historical information identical with test information, and export the second query result.
If second query result is that information stores in list there is no the test information, exporting analysis result is
Abnormal results；If second query result is that information stores in list there are the test information, exporting analysis result is
Normal outcome.
When the initial detecting Rule Information is Template Information, data-detection apparatus obtains the corresponding template of test information
Information, and detect in the Template Information with the presence or absence of message sending strategy；
Specifically, data-detection apparatus obtains the corresponding Template Information of test information, and detects in the Template Information and be
It is no there are message sending strategy, the information sending strategy be Template Information carry transmission condition limitation, for example, information send
Strategy can be " delay is sent ", i.e., information retransmits information after postponing the preset time after receiving information sending request,
Information sending strategy can be to be sent for fixed software version.
If there are message sending strategys in the Template Information, exporting analysis result is abnormal results；If the template
Message sending strategy is not present in information, then exporting analysis result is normal outcome.
S204, if the corresponding analysis result of initial detecting Rule Information be it is normal as a result, if according to rule prioritization sequence
Using next detected rule information as the initial detecting Rule Information, until there are corresponding point of target detection Rule Information
It is normal outcome that result, which is analysed, as abnormal results or the corresponding analysis result of all detected rule information；
Specifically, being normal if the corresponding analysis result of initial detecting Rule Information as a result, basis if data-detection apparatus
Rule prioritization sequence is using next detected rule information as the initial detecting Rule Information, until there are target detection rule
Then the corresponding analysis result of information is abnormal results or the corresponding analysis result of all detected rule information is normal outcome,
It is understood that if the corresponding analysis result of initial detecting Rule Information to be normal as a result, never being wrapped if data-detection apparatus
The highest detected rule information of rule prioritization is obtained in multiple detected rule information of the Rule Information containing initial detecting as institute
Initial detecting Rule Information is stated, the analysis knot for being directed to the query object information is generated based on the initial detecting Rule Information
Fruit, until being that abnormal results or all detected rule information are corresponding there are the corresponding analysis result of target detection Rule Information
Analyzing result is normal outcome.
S205, when in the multiple detected rule information there are the corresponding analysis result of target detection Rule Information be it is different
When normal result, stop carrying out anomaly analysis to query object information, and according to the corresponding analysis of the target detection Rule Information
As a result it determines error reason information, and the error reason information is exported and is shown；
S206, when the corresponding analysis result of detected rule information all in the multiple detected rule information is normal
When as a result, stop carrying out query object information anomaly analysis, and tied according to the corresponding analysis of the multiple detected rule information
Fruit determines error reason information, and the error reason information is exported and is shown.
Specifically, data-detection apparatus is when corresponding point of detected rule information all in the multiple detected rule information
When analysis result is normal outcome, stop carrying out query object information anomaly analysis, and believed according to the multiple detected rule
It ceases corresponding analysis result and determines error reason information, and the error reason information is exported and is shown, it is to be understood that number
According to detection device according to the corresponding detection priority of the multiple detected rule information, successively query object information is carried out
Anomaly analysis obtains analysis result and stops carrying out anomaly analysis to query object information when being normal outcome, and according to described
The corresponding analysis result of multiple detected rule information determines error reason information, and the error reason information is exported and is shown,
The error reason information can be the corresponding specific error reason of abnormal results, and it is corresponding to be also possible to the abnormal results
Error identification obtains specific error reason further according to the error identification.
It should be noted that in the present embodiment, it is preferential according to the corresponding detection of the multiple detected rule information
Grade successively carries out anomaly analysis to query object information, obtains the process of analysis result, only lists and is advised according to a detection
The case where then information carries out anomaly analysis to query object information, in a practical situation, according to a variety of detected rule information to looking into
The case where asking object information progress anomaly analysis is identical as method in above-described embodiment, and which is not described herein again.
Wherein, the step S101 and S103 of step S201 and the S205 embodiment shown in Figure 1 of the embodiment of the present invention
It specifically describes, herein without repeating.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, it, can be according to multiple detected rule information using multiple detected rule information
The priority orders of middle detected rule information carry out anomaly analysis to query object information, and precise positioning can not connect mobile terminal
The case where the problem of receiving PUSH message solves when developer is relatively busy, can not necessarily detect abnormal problem in time,
Avoid it is also indiscriminate for the abnormal problem of some easy analyses artificial detection is carried out by developer, reduce manually at
This, it is time-consuming to reduce abnormal problem positioning.
A kind of data detection method provided in an embodiment of the present invention will be specifically described below.
Specific implement scene is that mobile terminal can not receive pushed information progress positioning problems, as shown in figure 3, from described
Query object information and application program identification are obtained in procedure script file, the query object information is the cell-phone number of user
Code, the application program identification corresponds to the application program that pushed information can not be received in mobile terminal, from the application program mark
Know in corresponding inquiry database and obtain multiple detected rule information, according to the corresponding inspection of the multiple detected rule information
Priority is surveyed, anomaly analysis successively is carried out to query object information, is analyzed as a result, the multiple detected rule information is to tie up
Determine object set, test information, information storage list, Template Information, wherein the corresponding detection of multiple detected rule information is excellent
First grade is followed successively by bound object collection, test information, information storage list, Template Information from high to low.
Data-detection apparatus is inquired from binding data library according to the query object information whether there is and the inquiry
The associated bound object collection of object information, and the first query result is generated, if first query result is binding relationship number
According to the bound object collection is not present in library, then exporting analysis result is abnormal results, stops carrying out query object information different
Often analysis determines error reason information according to the analysis result, and the error reason information is exported and is shown；
If first query result is to export analysis result there are the bound object collection in binding relationship database
To be normal as a result, data-detection apparatus pushes the corresponding address information of user information that platform is concentrated to bound object by message
Test information is sent, and receives the corresponding acknowledgement information of the test post；If the acknowledgement information is to send failure information,
Output analysis result is abnormal results, stops carrying out anomaly analysis to query object information, is determined according to the analysis result wrong
Accidentally cause information, and the error reason information is exported and is shown；
If the acknowledgement information is to send successful information, exporting analysis result is normal as a result, data-detection apparatus is examined
The test information that platform is sent to address information is pushed with the presence or absence of by message in measurement information storage list, and exports second and looks into
It askes as a result, exporting analysis result is if second query result is that information stores in list there is no the test information
Abnormal results stop carrying out anomaly analysis to query object information, determine error reason information according to the analysis result, and will
The error reason information output display；
If second query result is that there are the test information in information storage list, exports analysis result and be positive
Often as a result, data-detection apparatus obtains the corresponding Template Information of test information, and detects to whether there is in the Template Information and disappear
Sending strategy is ceased, if exporting analysis result is abnormal results there are message sending strategy in the Template Information, is stopped to looking into
It askes object information and carries out anomaly analysis, error reason information is determined according to the analysis result, and by the error reason information
Output display；
If message sending strategy is not present in the Template Information, exporting analysis result is normal as a result, and stopping pair
Query object information carries out anomaly analysis, determines error reason information according to the analysis result, and the error reason is believed
Breath output display.
Fig. 4 is referred to, for the embodiment of the invention provides a kind of structural schematic diagrams of data-detection apparatus.As shown in figure 4,
The data-detection apparatus 1 of the embodiment of the present invention may include: that message identification obtains module 11, anomaly analysis module 12, the
One abnormal cause display module 13.
Message identification obtains module 11, for obtaining query object information and application program from described program script file
Mark；
Anomaly analysis module 12, for obtaining multiple detection rule from the corresponding inquiry database of the application program identification
Then information successively carries out query object information different according to the corresponding detection priority of the multiple detected rule information
Often analysis obtains analysis result；
First abnormal cause display module 13, for when there are target detection rules in the multiple detected rule information
When the corresponding analysis result of information is abnormal results, stop carrying out anomaly analysis to query object information, and according to the target
The corresponding analysis result of detected rule information determines error reason information, and the error reason information is exported and is shown.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, using multiple detected rule information, successively query object information is carried out different
The problem of often analysis, precise positioning can not receive PUSH message to mobile terminal, solves when developer is relatively busy, no
The case where abnormal problem can centainly be detected in time, avoids also indiscriminate by opening for the abnormal problem of some easy analyses
Hair personnel carry out artificial detection, reduce cost of labor, and it is time-consuming to reduce abnormal problem positioning.
Fig. 5 is referred to, for the embodiment of the invention provides a kind of structural schematic diagrams of data-detection apparatus.As shown in figure 5,
The data-detection apparatus 1 of the embodiment of the present invention may include: that message identification obtains module 11, anomaly analysis module 12, the
One abnormal cause display module 13, the second abnormal cause display module 14.
Message identification obtains module 11, for obtaining query object information and application program from described program script file
Mark；
Anomaly analysis module 12, for obtaining multiple detection rule from the corresponding inquiry database of the application program identification
Then information successively carries out query object information different according to the corresponding detection priority of the multiple detected rule information
Often analysis obtains analysis result；
Please also refer to Fig. 6, for the embodiment of the invention provides a kind of structural schematic diagrams of anomaly analysis module 12.Such as figure
Shown in 6, the anomaly analysis module 12 of the embodiment of the present invention may include: Rule Information acquiring unit 121, anomaly analysis list
First 122, rule setting unit 123.
Rule Information acquiring unit 121, for obtaining initial detecting Rule Information from the multiple detected rule information；
The initial detecting Rule Information is to have highest rule prioritization in the detected rule information for being not used for carrying out anomaly analysis
Detected rule information；
Anomaly analysis unit 122 is directed to the query object information for generating based on the initial detecting Rule Information
Analysis result；
Please also refer to Fig. 7, for the embodiment of the invention provides a kind of structural schematic diagrams of anomaly analysis unit 122.Such as
Shown in Fig. 7, the anomaly analysis unit 122 of the embodiment of the present invention may include: the first anomaly analysis subelement 1221, first
Export subelement 1222.
When the initial detecting Rule Information is bound object collection, the first anomaly analysis subelement 1221 is used for basis
The query object information is inquired from binding data library with the presence or absence of bound object associated with the query object information
Collection, and generate the first query result；
First output subelement 1222, if being that there is no described in binding relationship database for first query result
Bound object collection, then exporting analysis result is abnormal results；If first query result is to exist in binding relationship database
The bound object collection, then exporting analysis result is normal outcome.
Please also refer to Fig. 8, for the embodiment of the invention provides a kind of structural schematic diagrams of anomaly analysis unit 122.Such as
Shown in Fig. 8, the anomaly analysis unit 122 of the embodiment of the present invention may include: the second anomaly analysis subelement 1223, second
Export subelement 1224.
When the initial detecting Rule Information is test information, the second anomaly analysis subelement 1223, for by disappearing
The corresponding address information of user information that breath push platform is concentrated to bound object sends test information, obtains the message push
The corresponding task identification of the test information that platform generates, and receive the corresponding acknowledgement information of the test post；
Second output subelement 1224, if being to send failure information for the acknowledgement information, exporting analysis result is
Abnormal results；If the acknowledgement information is to send successful information, exporting analysis result is normal outcome.
Please also refer to Fig. 9, for the embodiment of the invention provides a kind of structural schematic diagrams of anomaly analysis unit 122.Such as
Shown in Fig. 9, the anomaly analysis unit 122 of the embodiment of the present invention may include: third anomaly analysis subelement 1225, third
Export subelement 1226.
When the initial detecting Rule Information is information storage list, third anomaly analysis subelement 1225, for examining
The test information that platform is sent to address information is pushed with the presence or absence of by message in measurement information storage list, and exports second and looks into
It askes as a result, information storage list is used to store the historical information for pushing away transmission；
Third exports subelement 1226, if being that the survey is not present in information storage list for second query result
Information is tried, then exporting analysis result is abnormal results；If second query result is that there are the surveys in information storage list
Information is tried, then exporting analysis result is normal outcome.
Please also refer to Figure 10, for the embodiment of the invention provides a kind of structural schematic diagrams of anomaly analysis unit 122.Such as
Shown in Figure 10, the anomaly analysis unit 122 of the embodiment of the present invention may include: the 4th anomaly analysis subelement 1227,
Four output subelements 1228.
4th anomaly analysis subelement 1227, for when the initial detecting Rule Information is Template Information, data to be examined
Measurement equipment obtains the corresponding Template Information of test information, and detects in the Template Information with the presence or absence of message sending strategy；
4th output subelement 1228, if exporting analysis knot for there are message sending strategys in the Template Information
Fruit is abnormal results；If message sending strategy is not present in the Template Information, exporting analysis result is normal outcome.
Rule setting unit 123, for if the corresponding analysis result of initial detecting Rule Information be normally as a result, if basis
Rule prioritization sequence is using next detected rule information as the initial detecting Rule Information, until there are target detection rule
Then the corresponding analysis result of information is abnormal results or the corresponding analysis result of all detected rule information is normal outcome；
First abnormal cause display module 13, for when there are target detection rules in the multiple detected rule information
When the corresponding analysis result of information is abnormal results, stop carrying out anomaly analysis to query object information, and according to the target
The corresponding analysis result of detected rule information determines error reason information, and the error reason information is exported and is shown；
Second abnormal cause display module 14, for when detected rule information all in the multiple detected rule information
When corresponding analysis result is normal outcome, stop carrying out anomaly analysis to query object information, and according to the multiple inspection
It surveys the corresponding analysis result of Rule Information and determines error reason information, and the error reason information is exported and is shown.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, it, can be according to multiple detected rule information using multiple detected rule information
The priority orders of middle detected rule information carry out anomaly analysis to query object information, and precise positioning can not connect mobile terminal
The case where the problem of receiving PUSH message solves when developer is relatively busy, can not necessarily detect abnormal problem in time,
Avoid it is also indiscriminate for the abnormal problem of some easy analyses artificial detection is carried out by developer, reduce manually at
This, it is time-consuming to reduce abnormal problem positioning.
The embodiment of the invention also provides a kind of computer storage medium, the computer storage medium can store more
Item instruction, described instruction are suitable for being loaded by processor and being executed the method and step such as above-mentioned Fig. 1-embodiment illustrated in fig. 3, specifically hold
Row process may refer to Fig. 1-embodiment illustrated in fig. 3 and illustrate, herein without repeating.
Referring to Figure 11, for the embodiment of the invention provides a kind of structural schematic diagrams of Data Detection.As shown in figure 11, institute
Stating Data Detection 1000 may include: at least one processor 1001, such as CPU, at least one network interface 1004, Yong Hujie
Mouth 1003, memory 1005, at least one communication bus 1002.Wherein, communication bus 1002 is for realizing between these components
Connection communication.Wherein, user interface 1003 may include display screen (Display), and optional user interface 1003 can also wrap
Include standard wireline interface and wireless interface.Network interface 1004 optionally may include standard wireline interface and wireless interface
(such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to non-labile memory (non-
Volatile memory), a for example, at least magnetic disk storage.Memory 1005 optionally can also be that at least one is located at
Storage device far from aforementioned processor 1001.As shown in figure 11, as in a kind of memory 1005 of computer storage medium
It may include operating system, network communication module, Subscriber Interface Module SIM and Data Detection application program.
In the terminal 1000 shown in Figure 11, user interface 1003 is mainly used for providing the interface of input for user, obtains
The data of user's input；And processor 1001 can be used for calling the Data Detection application program stored in memory 1005, and
It is specific to execute following operation:
Query object information and application program identification are obtained from described program script file；
Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple
The corresponding detection priority of detected rule information successively carries out anomaly analysis to query object information, obtains analysis result；
It is tied when there are the corresponding analysis results of target detection Rule Information in the multiple detected rule information to be abnormal
When fruit, stop carrying out anomaly analysis to query object information, and according to the corresponding analysis result of the target detection Rule Information
It determines error reason information, and the error reason information is exported and is shown.
In embodiments of the present invention, by obtaining query object information and application program mark from described program script file
Know；Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；When
When there are the corresponding analysis result of target detection Rule Information being abnormal results in the multiple detected rule information, stop to looking into
It askes object information and carries out anomaly analysis, and determine that error reason is believed according to the corresponding analysis result of the target detection Rule Information
Breath, and the error reason information is exported and is shown, using multiple detected rule information, successively query object information is carried out different
The problem of often analysis, precise positioning can not receive PUSH message to mobile terminal, solves when developer is relatively busy, no
The case where abnormal problem can centainly be detected in time, avoids also indiscriminate by opening for the abnormal problem of some easy analyses
Hair personnel carry out artificial detection, reduce cost of labor, and it is time-consuming to reduce abnormal problem positioning.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of data detection method characterized by comprising
Query object information and application program identification are obtained from described program script file；
Multiple detected rule information are obtained from the corresponding inquiry database of the application program identification, according to the multiple detection
The corresponding detection priority of Rule Information successively carries out anomaly analysis to query object information, obtains analysis result；
When in the multiple detected rule information there are the corresponding analysis result of target detection Rule Information be abnormal results when,
Stop carrying out query object information anomaly analysis, and mistake is determined according to the corresponding analysis result of the target detection Rule Information
Accidentally cause information, and the error reason information is exported and is shown.
2. the method according to claim 1, wherein described from the corresponding inquiry data of the application program identification
Multiple detected rule information are obtained in library, it is successively right according to the corresponding detection priority of the multiple detected rule information
Query object information carries out anomaly analysis, obtains analysis result, comprising:
Initial detecting Rule Information is obtained from the multiple detected rule information；The initial detecting Rule Information is to be not used for
Carry out the detected rule information in the detected rule information of anomaly analysis with highest rule prioritization；
The analysis result for being directed to the query object information is generated based on the initial detecting Rule Information；
If the corresponding analysis result of initial detecting Rule Information be it is normal as a result, if according to rule prioritization sequence by next inspection
Rule Information is surveyed as the initial detecting Rule Information, until being different there are the corresponding analysis result of target detection Rule Information
Normal result or the corresponding analysis result of all detected rule information are normal outcome.
3. according to the method described in claim 2, it is characterized in that, it is described obtained based on the initial detecting Rule Information it is described
The corresponding analysis result of initial detecting Rule Information, comprising:
It is inquired from binding data library according to the query object information with the presence or absence of associated with the query object information
Bound object collection, and generate the first query result；
If first query result is that the bound object collection is not present in binding relationship database, exporting analysis result is
Abnormal results；
If first query result is that there are the bound object collection in binding relationship database, exports analysis result and be positive
Normal result.
4. according to the method described in claim 3, it is characterized in that, it is described according to the query object information from binding data library
Middle inquiry whether there is bound object collection associated with the query object information, and generate the first query result, comprising:
The corresponding user information of the query object information is obtained from the corresponding first database of the application program identification；
Inquiry whether there is bound object collection corresponding with the user information from binding data library, and generate the first inquiry knot
Fruit.
5. according to the method described in claim 2, it is characterized in that, it is described obtained based on the initial detecting Rule Information it is described
The corresponding analysis result of initial detecting Rule Information, comprising:
The corresponding address information of user information that platform is concentrated to bound object is pushed by message and sends test information, obtains institute
The corresponding task identification of the test information that message push platform generates is stated, and receives the corresponding receipt letter of the test post
Breath；
If the acknowledgement information is to send failure information, exporting analysis result is abnormal results；
If the acknowledgement information is to send successful information, exporting analysis result is normal outcome.
6. according to the method described in claim 5, it is characterized in that, described push platform to bound object concentration institute by message
It states the corresponding address information of user information and sends test information, obtain the test information pair that the message push platform generates
The task identification answered, and receive the corresponding acknowledgement information of the test post, comprising:
Bound object collection associated with the user information is obtained, is obtained and the user information pair from the bound object collection
The address information and application program identification answered；
The corresponding test information of the application program identification is obtained from message push platform, obtains the message push platform
The corresponding task identification of the test information generated；
The test information is sent to the corresponding address information of the user information, and is received the test post corresponding time
Hold information.
7. according to the described in any item methods of claim 2-6, which is characterized in that described to be based on the initial detecting Rule Information
Obtain the corresponding analysis result of the initial detecting Rule Information, comprising:
The test information that platform is sent to address information is pushed with the presence or absence of by message in detection information storage list, and is exported
Second query result, the information storage list are used to store the historical information for pushing away transmission；
If second query result is that information stores in list there is no the test information, it is abnormal for exporting and analyzing result
As a result；
If second query result is that information stores in list there are the test information, exporting and analyzing result is normal knot
Fruit.
8. a kind of data-detection apparatus characterized by comprising
Message identification obtains module, for obtaining query object information and application program identification from described program script file；
Anomaly analysis module, for obtaining multiple detected rule letters from the corresponding inquiry database of the application program identification
Breath successively carries out abnormal point to query object information according to the corresponding detection priority of the multiple detected rule information
Analysis obtains analysis result；
First abnormal cause display module, for when there are target detection Rule Informations pair in the multiple detected rule information
When the analysis result answered is abnormal results, stop carrying out query object information anomaly analysis, and advised according to the target detection
Then the corresponding analysis result of information determines error reason information, and the error reason information is exported and is shown.
9. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has a plurality of instruction,
Described instruction is suitable for being loaded by processor and being executed the method and step such as claim 1-7 any one.
10. a kind of data-detection apparatus, which is characterized in that it is characterised by comprising: processor and memory；Wherein, described to deposit
Reservoir is stored with computer program, and the computer program is suitable for by processor load and perform claim requires 1-7 any
Method and step described in.
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