CN112596828A - Application-based popup window generation method and device, electronic equipment and storage medium - Google Patents
Application-based popup window generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to a pedestal operation and maintenance technology, and discloses an application-based popup window generation method, which comprises the following steps: acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set; performing feature screening on the demand participle set by using a feature participle screening model to obtain a demand feature set; acquiring a popup tool, and creating an original popup by using the popup tool; performing popup rendering on the original popup according to the demand characteristic set to obtain an initial popup; optimizing the components of the initial pop-up window to obtain a standard pop-up window; and acquiring the target application, and writing the standard popup into the target application to obtain the application popup. In addition, the invention also relates to a block chain technology, and the popup requirement data can be stored in the node of the block chain. The invention also provides a popup window generation device based on the application, electronic equipment and a computer readable storage medium. The invention can solve the problem that the popup window created in the user image interface of the application is inconsistent with the user requirement.
Description
Technical Field
The invention relates to the technical field of pedestal operation and maintenance, in particular to a popup window generation method and device based on application, electronic equipment and a computer readable storage medium.
Background
In the graphical user interface of the application, a popup is often used to express important information to the user, for example, when a page is closed, the user is reminded whether to close the page or not, so as to prevent the user from closing the page by mistake; and when the program is operated, displaying the program operation result, reminding a user of important information in the operation process and the like.
At present, pop-ups in applications are mostly created directly according to preset templates based on H5 languages, but because of different user requirements and different application scenes, pop-ups created by using the same template often cannot meet the personalized requirements of users. Therefore, how to establish a popup meeting the user requirements becomes a problem to be solved urgently.
Disclosure of Invention
The invention provides a popup window generation method and device based on an application and a computer readable storage medium, and mainly aims to solve the problem that a popup window created in a user image interface of the application is inconsistent with user requirements.
In order to achieve the above object, the application-based popup window generating method provided by the present invention includes:
acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set;
performing feature screening on the demand participle set by using a feature participle screening model to obtain a demand feature set;
acquiring a popup tool, and creating an original popup by using the popup tool;
performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
performing component optimization on the initial pop-up window to obtain a standard pop-up window;
and acquiring a target application, and writing the standard popup into the target application to obtain an application popup.
Optionally, the performing word segmentation processing on the popup requirement data to obtain a requirement word segmentation set includes:
sensitive data contained in the popup requirement data are deleted;
and performing word segmentation processing on the popup window requirement data after the sensitive data are removed by using a preset standard dictionary to obtain a requirement word segmentation set.
Optionally, the performing feature screening on the demand segmentation set by using the feature segmentation screening model includes:
performing convolution on the required word segmentation set by utilizing a forward convolution core in the feature screening model to obtain forward word segmentation features;
carrying out convolution on the forward word segmentation characteristics by utilizing a backward convolution core in the characteristic screening model to obtain backward word segmentation characteristics;
performing feature fusion on the obtained forward word segmentation features and the obtained backward word segmentation features to obtain fusion word segmentation features;
and carrying out feature screening on the fusion word segmentation features by using a screening algorithm to obtain a demand feature set.
Optionally, the creating an original popup by using the popup tool includes:
creating a popup class using the popup tool;
and carrying out window variable assignment on the popup window class to obtain the original popup window.
Optionally, the performing popup rendering on the original popup according to the demand feature set to obtain an initial popup, including:
determining a rendering area according to the initial pop-up window;
and constructing components in the rendering area by using the demand characteristic set to obtain an initial popup window.
Optionally, after component construction is performed in the rendering region by using the requirement feature set to obtain an initial pop-up window, the method further includes:
performing component division on the initial popup window to obtain a button component and a text component;
carrying out availability verification on the button type assembly to obtain an availability verification result;
and carrying out numerical value verification on the text component to obtain a numerical value verification result.
Optionally, the performing component optimization on the initial pop-up window to obtain a standard pop-up window includes:
acquiring display conditions of the components in the initial pop-up window;
constructing a component state rule expression according to the display condition;
detecting a state trigger condition of the component by using the component state regular expression, and controlling the component to display in the initial popup window by using the component state regular expression when the state trigger condition is the same as the display condition;
and when the state trigger condition is different from the display condition, controlling the component to hide in the initial popup window by using the component state regular expression.
In order to solve the above problem, the present invention further provides an application-based popup window generating apparatus, including:
the demand word segmentation module is used for acquiring popup demand data and performing word segmentation processing on the popup demand data to obtain a demand word segmentation set;
the characteristic screening module is used for carrying out characteristic screening on the demand participle set by utilizing a characteristic participle screening model to obtain a demand characteristic set;
the popup window creating module is used for acquiring a popup window tool and creating an original popup window by using the popup window tool;
the popup rendering module is used for performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
the component optimization module is used for performing component optimization on the initial popup to obtain a standard popup;
and the application writing module is used for acquiring a target application and writing the standard popup into the target application to obtain an application popup.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the application-based popup window generation method.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the application-based popup window generating method described above.
The embodiment of the invention can divide the popup requirement data with larger length into a plurality of requirement participles by carrying out participle processing on the popup requirement data, and has higher processing efficiency and accuracy by analyzing and processing the plurality of requirement participles than directly carrying out processing on the popup requirement data; the characteristic segmentation screening model is used for carrying out characteristic screening on the demand segmentation sets to obtain demand characteristic sets, representative characteristics of the demand segmentation sets can be screened, and popup windows meeting user requirements can be generated according to the screened characteristics in the follow-up process; performing popup rendering and optimization on the original popup according to the demand feature set, and generating the popup based on user popup demand data; and writing the standard popup into the target application to obtain an application popup, and writing the popup into the target application to ensure the usability of the popup in the target application. Therefore, the application-based popup generation method, the application-based popup generation device, the electronic equipment and the computer-readable storage medium provided by the invention can solve the problem that a popup created in a user image interface of an application is inconsistent with a user requirement.
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Fig. 1 is a schematic flowchart of an application-based popup window generation method according to an embodiment of the present invention;
fig. 2 is a functional block diagram of an application-based popup window generating apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing the application-based popup window generation method according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a popup window generation method based on an application. The execution subject of the application-based popup window generation method includes, but is not limited to, at least one of electronic devices, such as a server and a terminal, which can be configured to execute the method provided by the embodiments of the present application. In other words, the application-based popup window generation method may be performed by software installed in a terminal device or a server device, or hardware, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Fig. 1 is a schematic flow chart of a popup window generation method based on an application according to an embodiment of the present invention. In this embodiment, the application-based popup window generating method includes:
s1, acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set.
In the embodiment of the invention, the popup requirement data comprises popup shape, popup color, popup content and other data.
According to the method and the device, the popup requirement data can be acquired from the block chain nodes for storing the popup requirement data by utilizing the python statement with the data capture function, and the efficiency of acquiring the popup requirement data can be improved by utilizing the high throughput of the block chain node to the data.
In detail, the performing word segmentation processing on the popup requirement data to obtain a requirement word segmentation set includes:
sensitive data contained in the popup requirement data are deleted;
and performing word segmentation processing on the popup window requirement data after the sensitive data are removed by using a preset standard dictionary to obtain a requirement word segmentation set.
In practical application, the popup requirement data may include some private information, such as contact information, address and other data of a requirement presenter, so that the security of processing the popup requirement data can be improved by deleting sensitive data included in the popup requirement data in the embodiment of the present invention.
Specifically, the preset standard dictionary may be given by a user, and the preset standard dictionary includes a plurality of standard requirement participles.
The embodiment of the invention carries out word segmentation processing on the popup requirement data, can divide the popup requirement data with larger length into a plurality of requirement words, and has higher processing efficiency and accuracy by analyzing and processing the plurality of requirement words compared with directly carrying out processing on the popup requirement data.
And S2, performing feature screening on the demand participle set by using the feature participle screening model to obtain a demand feature set.
In the embodiment of the invention, the feature word screening model is a VGG network with a classification function, and the VGG network comprises a plurality of convolution kernels connected in a cascading mode.
Specifically, in the VGG network, a plurality of cascaded convolution kernels with the size less than or equal to the preset size are used to replace a traditional large convolution kernel to perform feature extraction on a required segmented word set.
The preset size may be a convolution kernel of 3X 3. The cascaded convolution kernel may be 4 convolution kernels of 3X 3.
In detail, the performing feature screening on the demand segmentation set by using the feature segmentation screening model includes:
performing convolution on the required word segmentation set by utilizing a forward convolution core in the feature screening model to obtain forward word segmentation features;
carrying out convolution on the forward word segmentation characteristics by utilizing a backward convolution core in the characteristic screening model to obtain backward word segmentation characteristics;
performing feature fusion on the obtained forward word segmentation features and the obtained backward word segmentation features to obtain fusion word segmentation features;
and carrying out feature screening on the fusion word segmentation features by using a screening algorithm to obtain a demand feature set.
In detail, the screening algorithm includes, but is not limited to, a softmax function, a target category probability that a fusion participle feature is a preset target category is obtained through calculation by using the screening algorithm, when the target category probability is greater than a preset target probability threshold, a requirement participle corresponding to the fusion participle feature is determined as a feature participle, and when the target category probability is less than or equal to the preset target probability threshold, the requirement participle corresponding to the fusion participle feature is determined as a non-feature participle.
Specifically, the forward convolution kernel and the backward convolution kernel are relative, for example, the feature segmentation screening model includes 4 cascaded convolution kernels, where a first convolution kernel that convolves the requirement segmentation set is a forward convolution kernel with respect to a second convolution kernel that convolves the requirement segmentation set, a third convolution kernel that convolves the requirement segmentation set, and a fourth convolution kernel that convolves the requirement segmentation set; the second convolution kernel that convolves the set of demand tokens is a backward convolution kernel with respect to the first convolution kernel that convolves the set of demand tokens, and so on.
When the forward convolution kernel is the initial convolution kernel, the backward convolution convolves the result (forward word segmentation characteristic) obtained in the forward direction to obtain the backward word segmentation characteristic.
When the forward convolution kernel is not the initial convolution channel, the backward convolution convolves the result (forward word segmentation characteristic) obtained in the forward direction to obtain the backward word segmentation characteristic.
Specifically, for example, the set of segmented words is convolved in a first convolution kernel to obtain a first segmented word feature;
convolving the first word segmentation characteristic in a second convolution kernel to obtain a second word segmentation characteristic;
convolving the second word segmentation characteristics in a third convolution kernel to obtain third word segmentation characteristics;
convolving the third segmentation feature in a fourth convolution kernel to obtain a fourth segmentation feature;
and performing feature fusion on the first word segmentation feature, the second word segmentation feature, the third word segmentation feature and the fourth word segmentation feature to obtain a fused word segmentation feature, and performing feature screening on the fused word segmentation feature by using a feature screening algorithm to obtain a demand feature set.
In the embodiment of the present invention, the requirement feature set screened by the above steps includes a plurality of requirement features, for example, a button function in a popup window, a popup window title content, and the like.
The embodiment of the invention realizes the screening of the demand participle set by utilizing the characteristic participle screening model, and utilizes a plurality of smaller cascaded convolution kernels to replace a common larger convolution kernel in the characteristic participle screening model to extract the characteristics of the demand participle set, thereby increasing the nonlinear capability of the characteristic participle screening model while keeping the receptive field and improving the accuracy of the characteristic participle screening model in screening the demand participle set.
And S3, acquiring a popup tool, and creating an original popup by using the popup tool.
In the embodiment of the present invention, the popup tool is an application tool having a popup creating function, and the popup tool includes, but is not limited to, a classpatard tool, a DialogUtil tool, and the like. The original popup is created by using the popup tool, so that the efficiency of creating the original popup can be improved.
The embodiment of the invention can call the popup tool from a database which stores the popup tool in advance.
In detail, the creating an original popup with the popup tool includes:
creating a popup class using the popup tool;
and carrying out window variable assignment on the popup window class to obtain the original popup window.
Specifically, the popup category refers to a basic type of a displayable popup, for example, a dialog box (Alert), a control panel (Action Sheets), a small prompt box (Toast), a quick prompt box (snapbar), and the like. The popup class may be created by executing the popup tool.
Further, in the embodiment of the present invention, a pre-stored variable value table is obtained, and the window variable assignment is performed on the popup class by using the variable value table, so as to obtain the original popup. The variable value table can be pre-stored in a preset database by a user, and the variable value table comprises variables such as the size and the position of a popup window.
And S4, performing popup rendering on the original popup according to the demand feature set to obtain an initial popup.
In this embodiment of the present invention, the performing popup rendering on the original popup according to the demand feature set to obtain an initial popup includes:
determining a rendering area according to the initial pop-up window;
and constructing components in the rendering area by using the demand characteristic set to obtain an initial popup window.
In the embodiment of the present invention, the rendering area is determined according to the initial pop-up window, for example, there is a rectangular pop-up window, where an upper portion of the rectangular pop-up window is a rendering area of a pop-up window title, a middle portion of the rectangular pop-up window is a rendering area of pop-up window content, and a lower portion of the rectangular pop-up window is a rendering area of a pop-up window button.
In detail, the component construction is performed in the rendering area by using the requirement characteristic set to obtain an initial pop-up window, that is, a pop-up window component is created in the rendering area according to the content of the requirement characteristic, for example, a text box is created in the rendering area of the pop-up window title and the rendering area of the pop-up window content, the pop-up window title and the pop-up window content are written in the text box according to the requirement characteristic set, a pop-up window button is created in the rendering area of the pop-up window button, and a button function is written in the pop-up window button according to the requirement characteristic set.
Specifically, in the embodiment of the invention, the text box is created in the rendering area of the popup title and the rendering area of the popup content by methods such as a setMessage method, a setItems method, a setSingleChoiceItems method and the like in java; and creating the popup button in the rendering area of the popup button by methods such as a setPositivebutton method, a setNegativebutton method, a setNeutralbutton method and the like.
Further, after component construction is performed in the rendering area by using the requirement feature set and an initial pop-up window is obtained, the method further includes:
performing component division on the initial popup window to obtain a button component and a text component;
carrying out availability verification on the button type assembly to obtain an availability verification result;
and carrying out numerical value verification on the text component to obtain a numerical value verification result.
In detail, the component division is performed on the initial pop-up window, that is, the components in the initial pop-up window are divided according to the rendering area, for example, the rendering area of the pop-up window title and the group price in the rendering area of the pop-up window content are divided into text components, and the components in the rendering area of the pop-up window button are divided into button components.
Specifically, the availability check is performed on the button type component, for example, a click command is obtained, the click command is executed to click the button type component, if the button type component cannot realize the corresponding function of the button type component after being clicked, an availability check result that the check fails is obtained, the original popup window needs to be rendered again, and if the button type component can realize the corresponding function of the button type component after being clicked, an availability check result that the check passes is obtained, where the click command is an instruction with a function of clicking a popup window button and can be uploaded by a user.
For example, a click command is executed to click a popup button for closing a popup, if the popup is not closed, an availability check result that cannot be checked is obtained, the original popup needs to be rendered again, and if multiple pops are closed, an availability check result that cannot be checked is obtained.
In detail, the performing numerical verification on the text component to obtain a numerical verification result includes:
carrying out null value verification on the text component to obtain a null value verification result;
and carrying out length check on the text component to obtain a length check result.
And collecting the null value checking result and the length checking result into a numerical value checking result.
Specifically, the null check is performed on the text component, that is, whether the text component is null or not is verified, if the text component is null, the content of the text component is null, and a null check result that does not pass the check is generated, and if the text component is not null, the null check result that passes the check is generated, for example, the null check is performed on a popup button for indicating that the previous page is returned, and if the field is null, the content of the popup button is not filled, and the null check result that does not pass the check is generated, and if the field is not null, the content of the popup button is filled, and the null check result that passes the check is generated.
The method comprises the steps of carrying out length check on a text component, namely verifying whether the length of the text component meets requirements or not, generating a length check result which cannot be checked when the length of the text component is larger than a preset length threshold, generating a length check result which cannot be checked when the length of the text component is smaller than or equal to the preset length threshold, for example, a popup button for representing a user name exists, the preset length threshold is 8, indicating that the user name is displayed wrongly when the length of content in the popup button is larger than 8, generating a length check result which cannot be checked, indicating that the user name is displayed correctly when the length of the content in the popup button is smaller than or equal to 8, and generating a length check result which passes the check.
And S5, performing component optimization on the initial pop-up window to obtain a standard pop-up window.
In the embodiment of the present invention, the performing component optimization on the initial pop-up window to obtain a standard pop-up window includes:
acquiring display conditions of the components in the initial pop-up window;
constructing a component state rule expression according to the display condition;
detecting a state trigger condition of the component by using the component state regular expression, and controlling the component to display in the initial popup window by using the component state regular expression when the state trigger condition is the same as the display condition;
and when the state trigger condition is different from the display condition, controlling the component to hide in the initial popup window by using the component state regular expression.
In detail, the display condition of the components in the initial popup may be predefined, for example, when a user installs an application, a prompt popup of an installation step occurs, the prompt popup includes popup buttons of "previous step", "next step", and "complete", the "complete" button is not displayed in the prompt popup when the installation is not completed, and the "complete" button is displayed in the prompt popup when the installation is completed, so that whether the installation is completed or not is a display condition of the "complete" button.
Specifically, the embodiment of the present invention constructs a component state rule expression according to the display condition by using a pre-obtained custom processing function.
The custom processing function includes, but is not limited to, one or more of the following:
the IF function is used for judging pop-up conditions of the pop-up window;
a TO _ DATE function for indicating a DATE and time;
the U _ TIME function is used for customizing the popup TIME;
and the U _ DIV function is used for detecting the operating environment of the popup window.
Further, the building of the regular expression by using the custom processing function includes:
acquiring a user-defined processing function corresponding to the display condition;
detecting a compilation environment of the initial popup;
compiling the user-defined processing function through a compiler corresponding to the compiling environment to obtain the component state rule expression.
The method comprises the steps that a state trigger condition of a component is detected by executing a component state rule expression, and when the state trigger condition is the same as the display condition, the component state rule expression is used for calling a setPositiveText method in java to control the component to display in an initial popup window; and when the state trigger condition is different from the display condition, calling a setNegativeText method in java by using the component state rule expression to control the component to hide in the initial popup window.
And S6, acquiring the target application, and writing the standard popup into the target application to obtain the application popup.
In the embodiment of the invention, the target application comprises any computer software application and can be uploaded by a user.
In detail, the writing the standard popup into the target application to obtain an application popup includes:
performing data processing on the standard popup to obtain popup data;
calling the architecture file of the target application;
and writing the popup data into the architecture file to obtain the application popup.
Specifically, the embodiment of the invention performs data processing on the standard popup by using a preset IO data converter, so as to convert the standard popup into a computer data stream, and is beneficial to improving the efficiency of writing the standard popup into a target application.
The embodiment of the invention calls the architecture file from the target application through the java statement with the data calling function, the architecture file is used for recording and supporting the file which normally runs by the target application, and the architecture file is modified, so that the modification of the target application can be realized.
The embodiment of the invention can divide the popup requirement data with larger length into a plurality of requirement participles by carrying out participle processing on the popup requirement data, and has higher processing efficiency and accuracy by analyzing and processing the plurality of requirement participles than directly carrying out processing on the popup requirement data; the characteristic segmentation screening model is used for carrying out characteristic screening on the demand segmentation sets to obtain demand characteristic sets, representative characteristics of the demand segmentation sets can be screened, and popup windows meeting user requirements can be generated according to the screened characteristics in the follow-up process; performing popup rendering and optimization on the original popup according to the demand feature set, and generating the popup based on user popup demand data; and writing the standard popup into the target application to obtain an application popup, and writing the popup into the target application to ensure the usability of the popup in the target application. Therefore, the popup window generation method based on the application can solve the problem that the popup window created in the user image interface of the application is inconsistent with the user requirement.
Fig. 2 is a functional block diagram of an application-based popup window generating apparatus according to an embodiment of the present invention.
The application-based popup window generating apparatus 100 of the present invention may be installed in an electronic device. According to the implemented functions, the application-based popup window generation apparatus 100 may include a demand participle module 101, a feature filtering module 102, a popup window creation module 103, a popup window rendering module 104, a component optimization module 105, and an application writing module 106. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the demand participle module 101 is configured to obtain popup demand data, perform participle processing on the popup demand data, and obtain a demand participle set.
In the embodiment of the invention, the popup requirement data comprises popup shape, popup color, popup content and other data.
According to the method and the device, the popup requirement data can be acquired from the block chain nodes for storing the popup requirement data by utilizing the python statement with the data capture function, and the efficiency of acquiring the popup requirement data can be improved by utilizing the high throughput of the block chain node to the data.
In detail, the requirement word segmentation module 101 is specifically configured to:
sensitive data contained in the popup requirement data are deleted;
and performing word segmentation processing on the popup window requirement data after the sensitive data are removed by using a preset standard dictionary to obtain a requirement word segmentation set.
In practical application, the popup requirement data may include some private information, such as contact information, address and other data of a requirement presenter, so that the security of processing the popup requirement data can be improved by deleting sensitive data included in the popup requirement data in the embodiment of the present invention.
Specifically, the preset standard dictionary may be given by a user, and the preset standard dictionary includes a plurality of standard requirement participles.
The embodiment of the invention carries out word segmentation processing on the popup requirement data, can divide the popup requirement data with larger length into a plurality of requirement words, and has higher processing efficiency and accuracy by analyzing and processing the plurality of requirement words compared with directly carrying out processing on the popup requirement data.
The feature screening module 102 is configured to perform feature screening on the demand segmented word set by using a feature segmented word screening model to obtain a demand feature set.
In the embodiment of the invention, the feature word screening model is a VGG network with a classification function, and the VGG network comprises a plurality of convolution kernels connected in a cascading mode.
Specifically, in the VGG network, a plurality of cascaded convolution kernels with the size less than or equal to the preset size are used to replace a traditional large convolution kernel to perform feature extraction on a required segmented word set.
The preset size may be a convolution kernel of 3X 3. The cascaded convolution kernel may be 4 convolution kernels of 3X 3.
In detail, the feature filtering module 102 is specifically configured to:
performing convolution on the required word segmentation set by utilizing a forward convolution core in the feature screening model to obtain forward word segmentation features;
carrying out convolution on the forward word segmentation characteristics by utilizing a backward convolution core in the characteristic screening model to obtain backward word segmentation characteristics;
performing feature fusion on the obtained forward word segmentation features and the obtained backward word segmentation features to obtain fusion word segmentation features;
and carrying out feature screening on the fusion word segmentation features by using a screening algorithm to obtain a demand feature set.
In detail, the screening algorithm includes, but is not limited to, a softmax function, a target category probability that a fusion participle feature is a preset target category is obtained through calculation by using the screening algorithm, when the target category probability is greater than a preset target probability threshold, a requirement participle corresponding to the fusion participle feature is determined as a feature participle, and when the target category probability is less than or equal to the preset target probability threshold, the requirement participle corresponding to the fusion participle feature is determined as a non-feature participle.
Specifically, the forward convolution kernel and the backward convolution kernel are relative, for example, the feature segmentation screening model includes 4 cascaded convolution kernels, where a first convolution kernel that convolves the requirement segmentation set is a forward convolution kernel with respect to a second convolution kernel that convolves the requirement segmentation set, a third convolution kernel that convolves the requirement segmentation set, and a fourth convolution kernel that convolves the requirement segmentation set; the second convolution kernel that convolves the set of demand tokens is a backward convolution kernel with respect to the first convolution kernel that convolves the set of demand tokens, and so on.
When the forward convolution kernel is the initial convolution kernel, the backward convolution convolves the result (forward word segmentation characteristic) obtained in the forward direction to obtain the backward word segmentation characteristic.
When the forward convolution kernel is not the initial convolution channel, the backward convolution convolves the result (forward word segmentation characteristic) obtained in the forward direction to obtain the backward word segmentation characteristic.
Specifically, for example, the set of segmented words is convolved in a first convolution kernel to obtain a first segmented word feature;
convolving the first word segmentation characteristic in a second convolution kernel to obtain a second word segmentation characteristic;
convolving the second word segmentation characteristics in a third convolution kernel to obtain third word segmentation characteristics;
convolving the third segmentation feature in a fourth convolution kernel to obtain a fourth segmentation feature;
and performing feature fusion on the first word segmentation feature, the second word segmentation feature, the third word segmentation feature and the fourth word segmentation feature to obtain a fused word segmentation feature, and performing feature screening on the fused word segmentation feature by using a feature screening algorithm to obtain a demand feature set.
In the embodiment of the present invention, the requirement feature set screened by the above steps includes a plurality of requirement features, for example, a button function in a popup window, a popup window title content, and the like.
The embodiment of the invention realizes the screening of the demand participle set by utilizing the characteristic participle screening model, and utilizes a plurality of smaller cascaded convolution kernels to replace a common larger convolution kernel in the characteristic participle screening model to extract the characteristics of the demand participle set, thereby increasing the nonlinear capability of the characteristic participle screening model while keeping the receptive field and improving the accuracy of the characteristic participle screening model in screening the demand participle set.
The popup creating module 103 is configured to obtain a popup tool, and create an original popup by using the popup tool.
In the embodiment of the present invention, the popup tool is an application tool having a popup creating function, and the popup tool includes, but is not limited to, a classpatard tool, a DialogUtil tool, and the like. The original popup is created by using the popup tool, so that the efficiency of creating the original popup can be improved.
The embodiment of the invention can call the popup tool from a database which stores the popup tool in advance.
In detail, the popup window creation module 103 is specifically configured to:
creating a popup class using the popup tool;
and carrying out window variable assignment on the popup window class to obtain the original popup window.
Specifically, the popup category refers to a basic type of a displayable popup, for example, a dialog box (Alert), a control panel (Action Sheets), a small prompt box (Toast), a quick prompt box (snapbar), and the like. The popup class may be created by executing the popup tool.
Further, in the embodiment of the present invention, a pre-stored variable value table is obtained, and the window variable assignment is performed on the popup class by using the variable value table, so as to obtain the original popup. The variable value table can be pre-stored in a preset database by a user, and the variable value table comprises variables such as the size and the position of a popup window.
And the pop window rendering module 104 is configured to perform pop window rendering on the original pop window according to the requirement feature set to obtain an initial pop window.
In the embodiment of the present invention, the pop-window rendering module 104 is specifically configured to:
determining a rendering area according to the initial pop-up window;
and constructing components in the rendering area by using the demand characteristic set to obtain an initial popup window.
In the embodiment of the present invention, the rendering area is determined according to the initial pop-up window, for example, there is a rectangular pop-up window, where an upper portion of the rectangular pop-up window is a rendering area of a pop-up window title, a middle portion of the rectangular pop-up window is a rendering area of pop-up window content, and a lower portion of the rectangular pop-up window is a rendering area of a pop-up window button.
In detail, the component construction is performed in the rendering area by using the requirement characteristic set to obtain an initial pop-up window, that is, a pop-up window component is created in the rendering area according to the content of the requirement characteristic, for example, a text box is created in the rendering area of the pop-up window title and the rendering area of the pop-up window content, the pop-up window title and the pop-up window content are written in the text box according to the requirement characteristic set, a pop-up window button is created in the rendering area of the pop-up window button, and a button function is written in the pop-up window button according to the requirement characteristic set.
Specifically, in the embodiment of the invention, the text box is created in the rendering area of the popup title and the rendering area of the popup content by methods such as a setMessage method, a setItems method, a setSingleChoiceItems method and the like in java; and creating the popup button in the rendering area of the popup button by methods such as a setPositivebutton method, a setNegativebutton method, a setNeutralbutton method and the like.
Further, the popup rendering module 104 performs component construction in the rendering area by using the requirement feature set, and after obtaining an initial popup, the method further includes:
performing component division on the initial popup window to obtain a button component and a text component;
carrying out availability verification on the button type assembly to obtain an availability verification result;
and carrying out numerical value verification on the text component to obtain a numerical value verification result.
In detail, the component division is performed on the initial pop-up window, that is, the components in the initial pop-up window are divided according to the rendering area, for example, the rendering area of the pop-up window title and the group price in the rendering area of the pop-up window content are divided into text components, and the components in the rendering area of the pop-up window button are divided into button components.
Specifically, the availability check is performed on the button type component, for example, a click command is obtained, the click command is executed to click the button type component, if the button type component cannot realize the corresponding function of the button type component after being clicked, an availability check result that the check fails is obtained, the original popup window needs to be rendered again, and if the button type component can realize the corresponding function of the button type component after being clicked, an availability check result that the check passes is obtained, where the click command is an instruction with a function of clicking a popup window button and can be uploaded by a user.
For example, a click command is executed to click a popup button for closing a popup, if the popup is not closed, an availability check result that cannot be checked is obtained, the original popup needs to be rendered again, and if multiple pops are closed, an availability check result that cannot be checked is obtained.
In detail, the performing numerical verification on the text component to obtain a numerical verification result includes:
carrying out null value verification on the text component to obtain a null value verification result;
and carrying out length check on the text component to obtain a length check result.
And collecting the null value checking result and the length checking result into a numerical value checking result.
Specifically, the null check is performed on the text component, that is, whether the text component is null or not is verified, if the text component is null, the content of the text component is null, and a null check result that does not pass the check is generated, and if the text component is not null, the null check result that passes the check is generated, for example, the null check is performed on a popup button for indicating that the previous page is returned, and if the field is null, the content of the popup button is not filled, and the null check result that does not pass the check is generated, and if the field is not null, the content of the popup button is filled, and the null check result that passes the check is generated.
The method comprises the steps of carrying out length check on a text component, namely verifying whether the length of the text component meets requirements or not, generating a length check result which cannot be checked when the length of the text component is larger than a preset length threshold, generating a length check result which cannot be checked when the length of the text component is smaller than or equal to the preset length threshold, for example, a popup button for representing a user name exists, the preset length threshold is 8, indicating that the user name is displayed wrongly when the length of content in the popup button is larger than 8, generating a length check result which cannot be checked, indicating that the user name is displayed correctly when the length of the content in the popup button is smaller than or equal to 8, and generating a length check result which passes the check.
The component optimization module 105 is configured to perform component optimization on the initial pop-up window to obtain a standard pop-up window.
In an embodiment of the present invention, the component optimization module 105 is specifically configured to:
acquiring display conditions of the components in the initial pop-up window;
constructing a component state rule expression according to the display condition;
detecting a state trigger condition of the component by using the component state regular expression, and controlling the component to display in the initial popup window by using the component state regular expression when the state trigger condition is the same as the display condition;
and when the state trigger condition is different from the display condition, controlling the component to hide in the initial popup window by using the component state regular expression.
In detail, the display condition of the components in the initial popup may be predefined, for example, when a user installs an application, a prompt popup of an installation step occurs, the prompt popup includes popup buttons of "previous step", "next step", and "complete", the "complete" button is not displayed in the prompt popup when the installation is not completed, and the "complete" button is displayed in the prompt popup when the installation is completed, so that whether the installation is completed or not is a display condition of the "complete" button.
Specifically, the embodiment of the present invention constructs a component state rule expression according to the display condition by using a pre-obtained custom processing function.
The custom processing function includes, but is not limited to, one or more of the following:
the IF function is used for judging pop-up conditions of the pop-up window;
a TO _ DATE function for indicating a DATE and time;
the U _ TIME function is used for customizing the popup TIME;
and the U _ DIV function is used for detecting the operating environment of the popup window.
Further, the building of the regular expression by using the custom processing function includes:
acquiring a user-defined processing function corresponding to the display condition;
detecting a compilation environment of the initial popup;
compiling the user-defined processing function through a compiler corresponding to the compiling environment to obtain the component state rule expression.
The method comprises the steps that a state trigger condition of a component is detected by executing a component state rule expression, and when the state trigger condition is the same as the display condition, the component state rule expression is used for calling a setPositiveText method in java to control the component to display in an initial popup window; and when the state trigger condition is different from the display condition, calling a setNegativeText method in java by using the component state rule expression to control the component to hide in the initial popup window.
The application writing module 106 is configured to obtain a target application, and write the standard popup into the target application to obtain an application popup.
In the embodiment of the invention, the target application comprises any computer software application and can be uploaded by a user.
In detail, the application writing module 106 is specifically configured to:
performing data processing on the standard popup to obtain popup data;
calling the architecture file of the target application;
and writing the popup data into the architecture file to obtain the application popup.
Specifically, the embodiment of the invention performs data processing on the standard popup by using a preset IO data converter, so as to convert the standard popup into a computer data stream, and is beneficial to improving the efficiency of writing the standard popup into a target application.
The embodiment of the invention calls the architecture file from the target application through the java statement with the data calling function, the architecture file is used for recording and supporting the file which normally runs by the target application, and the architecture file is modified, so that the modification of the target application can be realized.
The embodiment of the invention can divide the popup requirement data with larger length into a plurality of requirement participles by carrying out participle processing on the popup requirement data, and has higher processing efficiency and accuracy by analyzing and processing the plurality of requirement participles than directly carrying out processing on the popup requirement data; the characteristic segmentation screening model is used for carrying out characteristic screening on the demand segmentation sets to obtain demand characteristic sets, representative characteristics of the demand segmentation sets can be screened, and popup windows meeting user requirements can be generated according to the screened characteristics in the follow-up process; performing popup rendering and optimization on the original popup according to the demand feature set, and generating the popup based on user popup demand data; and writing the standard popup into the target application to obtain an application popup, and writing the popup into the target application to ensure the usability of the popup in the target application. Therefore, the popup window generation device based on the application can solve the problem that the popup window created in the user image interface of the application is inconsistent with the user requirement.
Fig. 3 is a schematic structural diagram of an electronic device implementing the application-based popup window generation method according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as an application-based pop-up window generation program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of the application-based popup window generation program 12, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., application-based popup generating programs, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The application-based popup window generation program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set;
performing feature screening on the demand participle set by using a feature participle screening model to obtain a demand feature set;
acquiring a popup tool, and creating an original popup by using the popup tool;
performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
performing component optimization on the initial pop-up window to obtain a standard pop-up window;
and acquiring a target application, and writing the standard popup into the target application to obtain an application popup.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set;
performing feature screening on the demand participle set by using a feature participle screening model to obtain a demand feature set;
acquiring a popup tool, and creating an original popup by using the popup tool;
performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
performing component optimization on the initial pop-up window to obtain a standard pop-up window;
and acquiring a target application, and writing the standard popup into the target application to obtain an application popup.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. An application-based popup window generation method, comprising:
acquiring popup requirement data, and performing word segmentation processing on the popup requirement data to obtain a required word segmentation set;
performing feature screening on the demand participle set by using a feature participle screening model to obtain a demand feature set;
acquiring a popup tool, and creating an original popup by using the popup tool;
performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
performing component optimization on the initial pop-up window to obtain a standard pop-up window;
and acquiring a target application, and writing the standard popup into the target application to obtain an application popup.
2. The application-based popup window generating method of claim 1, wherein said performing a word segmentation process on said popup window demand data to obtain a demand word set comprises:
sensitive data contained in the popup requirement data are deleted;
and performing word segmentation processing on the popup window requirement data after the sensitive data are removed by using a preset standard dictionary to obtain a requirement word segmentation set.
3. The application-based popup window generation method of claim 1, wherein the performing feature filtering on the demand participle set using a feature participle filtering model comprises:
performing convolution on the required word segmentation set by utilizing a forward convolution core in the feature screening model to obtain forward word segmentation features;
carrying out convolution on the forward word segmentation characteristics by utilizing a backward convolution core in the characteristic screening model to obtain backward word segmentation characteristics;
performing feature fusion on the obtained forward word segmentation features and the obtained backward word segmentation features to obtain fusion word segmentation features;
and carrying out feature screening on the fusion word segmentation features by using a screening algorithm to obtain a demand feature set.
4. The application-based popup generation method of claim 1, wherein said creating an original popup with said popup tool comprises:
creating a popup class using the popup tool;
and carrying out window variable assignment on the popup window class to obtain the original popup window.
5. The application-based popup generation method of any of claims 1 to 4, wherein the performing popup rendering on the original popup according to the demand feature set to obtain an initial popup comprises:
determining a rendering area according to the initial pop-up window;
and constructing components in the rendering area by using the demand characteristic set to obtain an initial popup window.
6. The application-based popup window generation method of claim 5, wherein after component construction is performed in the rendering region using the requirement feature set to obtain an initial popup window, the method further comprises:
performing component division on the initial popup window to obtain a button component and a text component;
carrying out availability verification on the button type assembly to obtain an availability verification result;
and carrying out numerical value verification on the text component to obtain a numerical value verification result.
7. The application-based popup generation method of claim 1, wherein said performing component optimization on said initial popup to obtain a standard popup comprises:
acquiring display conditions of the components in the initial pop-up window;
constructing a component state rule expression according to the display condition;
detecting a state trigger condition of the component by using the component state regular expression, and controlling the component to display in the initial popup window by using the component state regular expression when the state trigger condition is the same as the display condition;
and when the state trigger condition is different from the display condition, controlling the component to hide in the initial popup window by using the component state regular expression.
8. An application-based popup generation apparatus, the apparatus comprising:
the demand word segmentation module is used for acquiring popup demand data and performing word segmentation processing on the popup demand data to obtain a demand word segmentation set;
the characteristic screening module is used for carrying out characteristic screening on the demand participle set by utilizing a characteristic participle screening model to obtain a demand characteristic set;
the popup window creating module is used for acquiring a popup window tool and creating an original popup window by using the popup window tool;
the popup rendering module is used for performing popup rendering on the original popup according to the demand feature set to obtain an initial popup;
the component optimization module is used for performing component optimization on the initial popup to obtain a standard popup;
and the application writing module is used for acquiring a target application and writing the standard popup into the target application to obtain an application popup.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the application-based popup generation method of any of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the application-based popup generation method according to any of claims 1 to 7.
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| CN114117050A (en) * | 2021-11-30 | 2022-03-01 | 济南农村商业银行股份有限公司 | Full-automatic accounting flow popup window processing method, device and system |
| CN114117050B (en) * | 2021-11-30 | 2022-08-05 | 济南农村商业银行股份有限公司 | Full-automatic accounting flow popup window processing method, device and system |
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