CN113703759B - Code generation method, device, medium and equipment - Google Patents
Code generation method, device, medium and equipment Download PDFInfo
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Abstract
The application relates to artificial intelligence and provides a code generation method, a device, a medium and equipment, wherein the method comprises the following steps: receiving a first attribute field to be analyzed; searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library; if the page template corresponding to the first attribute field to be analyzed is not found, taking the attribute field to be analyzed as a target attribute field, and generating a target page template based on the target attribute field; if the page template corresponding to the first attribute field to be analyzed is found, taking the found page template corresponding to the first attribute field to be analyzed as a target page template; and generating software codes corresponding to the target page templates. The invention utilizes the first attribute field to be analyzed to match and obtain the target page template, and then generates the software code corresponding to the target page template, thereby reducing the code input workload of a software developer in the software development process while completing the software development.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a code generation method, a code generation device, a code generation medium and code generation equipment.
Background
Along with the increasing development of medical industry projects, a plurality of service modules with similar functions are encountered, and the similar functions can be realized by copying and revising similar function codes or files in the traditional method development, so that human errors are easily caused, information transmission is distorted, a great deal of time is consumed by a user for editing, and the problems of incomplete content and professional concern possibly exist in editing generation.
Disclosure of Invention
The invention provides a code generation method, a device, a medium and equipment, which mainly aim to reduce the code input workload of software developers in the software development process, shorten the development period and the test period of the software development process and improve the software development efficiency and the software quality.
In order to achieve the above object, the present invention provides a code generation method, including:
receiving a first attribute field to be analyzed;
searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result;
generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, taking the first attribute field to be analyzed as a target attribute field, and generating the target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
And generating software codes corresponding to the target page templates.
Optionally, each of the page templates includes a standard attribute field, and the searching, from a preset page template library, whether there is a page template corresponding to the first attribute field to be analyzed, and generating a search result includes:
calculating a first similarity between the first attribute field to be analyzed and the standard attribute field;
comparing the first similarity with a set first similarity threshold value;
if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library;
and if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library.
Optionally, if the page template corresponding to the first attribute field to be analyzed is not found, the method further includes:
acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
acquiring a synonymous attribute field of the difference attribute field;
Replacing the difference attribute field with a synonymous attribute field;
and matching a second attribute field to be analyzed with the standard attribute field to obtain a matching result, wherein the second attribute field to be analyzed comprises a common attribute field and a synonymous attribute field.
Optionally, the obtaining the synonymous attribute field of the difference attribute field includes:
acquiring an attribute field library, wherein different basic fields and fields which have the same semantics as the basic fields and represent different expressions are stored in the attribute fields;
and searching the synonymous attribute field from the attribute field library according to the mapping relation between the basic field and the synonymous attribute field.
Optionally, the matching the second attribute field to be analyzed with the standard attribute field to obtain a matching result includes:
calculating a second similarity between the second attribute field to be analyzed and the standard attribute field;
comparing the second similarity with a set second similarity threshold value to obtain a matching result; the matching result comprises successful matching and unsuccessful matching;
if the second similarity is greater than or equal to the second similarity threshold, the matching result is that the matching is successful;
And if the second similarity is smaller than the second similarity threshold, the matching result is unsuccessful matching.
Optionally, the screening the target page template from the plurality of page templates includes:
acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
determining key attribute fields in the common attribute fields;
calculating the association degree of the difference attribute field and the key attribute field;
determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming a target attribute field from the target difference attribute field and a common attribute field;
and taking the page template corresponding to the target attribute field as a target page template.
Optionally, taking the difference attribute field with the maximum association degree and the difference attribute field in the key attribute fields as a target difference attribute field, and then splicing the target difference attribute field and the common attribute field to obtain a target attribute field.
To achieve the above object, the present invention provides a code generating apparatus comprising:
the field receiving module is used for receiving a first attribute field to be analyzed;
The searching module is used for searching whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library and generating a searching result;
the page template generation module is used for generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, the first attribute field to be analyzed is used as a target attribute field, and the target page template is generated based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
and the code generation module is used for generating software codes corresponding to the target page template.
To achieve the above object, the present invention provides a computer apparatus including a memory and a processor, the memory storing computer readable instructions that, when executed by the processor, cause the processor to execute the steps of the code generation method described above.
To achieve the above object, the present invention provides a storage medium storing computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the code generation method described above.
As described above, the code generation method, device, medium and equipment provided by the invention have the following beneficial effects:
the code generation method of the invention comprises the following steps: receiving a first attribute field to be analyzed; searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result; generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, taking the first attribute field to be analyzed as a target attribute field, and generating the target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template; and generating software codes corresponding to the target page templates. The invention utilizes the first attribute field to be analyzed to match and obtain the target page template, and then generates the software code corresponding to the target page template, thereby reducing the code input workload of a software developer in the software development process while completing the software development, shortening the development period and the test period of the software development process, and improving the software development efficiency and the software quality.
Drawings
FIG. 1 is a schematic diagram of an application environment of a code generation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a code generation method according to an embodiment of the present invention;
FIG. 3 is a flow chart of search result generation in an embodiment of the invention;
FIG. 4 is a flowchart of a method for searching for a page template according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for matching a second attribute field to be analyzed with the standard attribute field according to an embodiment of the present invention;
FIG. 6 is a flowchart of a method for screening a target page template from a plurality of page templates according to an embodiment of the present invention;
fig. 7 is a block diagram of a code generating apparatus according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a code generation method which is applied to an electronic device 1. Referring to fig. 1, a schematic diagram of an application environment of a code generating method according to an embodiment of the invention is shown.
In this embodiment, the electronic apparatus 1 may be a terminal device having an operation function, such as a server, a smart phone, a tablet computer, a portable computer, or a desktop computer.
The electronic device 1 includes: a processor 12, a memory 11, an imaging device 13, a network interface 14, and a communication bus 15.
The memory 11 includes at least one type of readable storage medium. The at least one type of readable storage medium may be a non-volatile storage medium such as a flash memory, a hard disk, a multimedia card, a card memory 11, etc. In some embodiments, the readable storage medium may be an internal storage unit of the electronic device 1, such as a hard disk of the electronic device 1. In other embodiments, the readable storage medium may also be an external memory 11 of the electronic device 1, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the electronic device 1.
In the present embodiment, the readable storage medium of the memory 11 is generally used to store a code generation program 10 or the like installed in the electronic device 1. The memory 11 may also be used for temporarily storing data that has been output or is to be output.
The processor 12 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 11, such as executing the code generation program 10, etc.
The image pickup device 13 may be a part of the electronic device 1 or may be independent of the electronic device 1. In some embodiments, the electronic apparatus 1 is a terminal device with a camera, such as a smart phone, a tablet computer, a portable computer, etc., and the camera device 13 is the camera of the electronic apparatus 1. In other embodiments, the electronic device 1 may be a server, and the image capturing device 13 is independent of the electronic device 1 and connected to the electronic device 1 through a network, for example, the image capturing device 13 is installed in a specific location, such as an office location or a monitoring area, and captures a real-time image of a target entering the specific location in real time, and transmits the captured real-time image to the processor 12 through the network.
The network interface 14 may alternatively comprise a standard wired interface, a wireless interface (e.g. WI-FI interface), typically used to establish a communication connection between the electronic apparatus 1 and other electronic devices.
The communication bus 15 is used to enable connection communication between these components.
Fig. 1 shows only an electronic device 1 with components 11-15, but it is understood that not all shown components are required to be implemented, and that more or fewer components may be implemented instead.
Optionally, the electronic apparatus 1 may further comprise a user interface, which may comprise an input unit such as a Keyboard (Keyboard), a voice input device such as a microphone or the like with voice recognition function, a voice output device such as a sound box, a headset or the like, and optionally a standard wired interface, a wireless interface.
Optionally, the electronic device 1 may also comprise a display, which may also be referred to as a display screen or display unit. In some embodiments, the display may be an LED display, a liquid crystal display, a touch-control liquid crystal display, an Organic Light-Emitting Diode (OLED) touch device, or the like. The display is used for displaying information processed in the electronic device 1 and for displaying a visualized user interface.
Optionally, the electronic device 1 further comprises a touch sensor. The area provided by the touch sensor for the user to perform a touch operation is referred to as a touch area. Further, the touch sensors described herein may be resistive touch sensors, capacitive touch sensors, and the like. The touch sensor may include not only a contact type touch sensor but also a proximity type touch sensor. Furthermore, the touch sensor may be a single sensor or may be a plurality of sensors arranged in an array, for example.
The area of the display of the electronic device 1 may be the same as or different from the area of the touch sensor. Optionally, a display is stacked with the touch sensor to form a touch display screen. The device detects a touch operation triggered by a user based on a touch display screen.
Optionally, the electronic device 1 may further include a Radio Frequency (RF) circuit, a sensor, an audio circuit, etc., which are not described herein.
The subject application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In the apparatus embodiment shown in FIG. 1, an operating system, and a code generation program 10 may be included in memory 11 as a machine readable medium; the processor 12 implements the steps of the code generation method shown in fig. 2 when executing the code generation program 10 stored in the memory 11:
s20, receiving a first attribute field to be analyzed;
s21, searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result;
s22, generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, taking the first attribute field to be analyzed as a target attribute field, and generating the target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
s23, generating a software code corresponding to the target page template.
The invention utilizes the first attribute field to be analyzed to match and obtain the target page template, and then generates the software code corresponding to the target page template, thereby reducing the code input workload of a software developer in the software development process while completing the software development, shortening the development period and the test period of the software development process, and improving the software development efficiency and the software quality.
In step S20, a first attribute field to be analyzed is received;
the first attribute field to be analyzed may be name, gender, department, age, complaint, past history, allergy history, etc.
In step S21, a plurality of page templates are pre-stored in the preset page template library, where the page templates are pre-written samples or selected samples.
As shown in fig. 3, in an embodiment, each of the page templates includes a standard attribute field, and the searching for whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library, to generate a search result includes:
s301, calculating a first similarity between the first attribute field to be analyzed and the standard attribute field;
s302, comparing the first similarity with a set first similarity threshold value;
the searching result comprises searching a page template in a preset page template library and not searching the page template;
s303, if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library;
And S304, if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library.
The first similarity is a judging index of whether the first attribute field to be analyzed is consistent with the standard attribute field, that is, the first similarity may be a degree of similarity between the first attribute field to be analyzed and the standard attribute field, so as to judge whether the first attribute field to be analyzed is consistent with the standard attribute field according to the degree of similarity.
In an embodiment, when calculating the first similarity between the first attribute field to be analyzed and the standard attribute field, the first attribute field to be analyzed and the standard attribute field may be matched one kanji character by one, and the first similarity is calculated according to the number of kanji characters successfully matched and the total number of characters of the standard attribute field.
In an embodiment, when calculating the first similarity between the first attribute field to be analyzed and the standard attribute field, the first attribute field to be analyzed may be converted into a first vector, then the standard attribute field may be converted into a corresponding second vector, and then the corresponding cosine similarity may be calculated as the first similarity according to the first vector and the second vector.
In an embodiment, when calculating the first similarity between the first attribute to be analyzed and the standard attribute, the first similarity between the first attribute to be analyzed and the standard attribute may be calculated by using the deep neural network model. Specifically, the first attribute field to be analyzed and the standard attribute field are respectively input into the neural network model, so that the first feature of the first attribute field to be analyzed and the second feature of the standard attribute field are extracted through the neural network model, and the first similarity is calculated according to the first feature and the second feature.
The page template corresponding to the first attribute field to be analyzed is not found, and the standard attribute field with the first similarity exceeding the first similarity threshold value with the first attribute field to be analyzed does not exist in a preset page template library. That is, the first similarity is smaller than the first similarity threshold, which indicates that the standard attribute field and the first attribute field to be analyzed are not identical fields. At this time, the first attribute field to be analyzed may be taken as a target attribute field, and a target page template may be generated based on the target attribute field. And after the target page template is determined, generating software codes corresponding to the target page template.
As shown in fig. 4, in an embodiment, if the page template corresponding to the first attribute field to be analyzed is not found, the method further includes:
s401, acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
s402, acquiring a synonymous attribute field of the difference attribute field;
s403, replacing the difference attribute field with a synonymous attribute field;
and S404, matching a second attribute field to be analyzed with the standard attribute field to obtain a matching result, wherein the second attribute field to be analyzed comprises a common attribute field and a synonymous attribute field.
Wherein the difference attribute field refers to other fields than the common attribute field.
In an embodiment, obtaining the synonymy attribute field of the discrepancy attribute field comprises:
acquiring an attribute field library, wherein different basic fields and fields which have the same semantics as the basic fields and are expressed differently are stored in the attribute fields;
and searching the synonymous attribute field from the attribute field library according to the mapping relation between the basic field and the synonymous attribute field.
The difference attribute field of the second attribute field to be analyzed and the standard attribute field may be a certain field or some fields in the basic field, and then the synonymous attribute field corresponding to the difference attribute field may be a field having the same semantic meaning as the basic field.
As shown in fig. 5, in an embodiment, the matching the second attribute field to be analyzed with the standard attribute field to obtain a matching result includes:
s501, calculating a second similarity between the second attribute field to be analyzed and the standard attribute field;
s502, comparing the second similarity with a set second similarity threshold value to obtain a matching result; the matching result comprises successful matching and unsuccessful matching;
s503, if the second similarity is greater than or equal to the second similarity threshold, the matching result is that the matching is successful;
s504, if the second similarity is smaller than the second similarity threshold, the matching result is that the matching is unsuccessful.
The second similarity is a judging index of whether the second attribute field to be analyzed is consistent with the standard attribute field, that is, the second similarity may be a similarity between the second attribute field to be analyzed and the standard attribute field, so as to judge whether the second attribute field to be analyzed is consistent with the standard attribute field according to the similarity.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the second attribute field to be analyzed and the standard attribute field can be matched one kanji character by one, the second similarity is calculated according to the number of kanji characters successfully matched and the total number of characters of the standard attribute field, the second similarity is compared with a pre-stored second similarity threshold, when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are identical fields, the matching is successful, and otherwise, the matching is unsuccessful.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the first attribute field to be analyzed may be converted into a first vector, the standard attribute field may be converted into a corresponding second vector, and the corresponding cosine similarity may be calculated as the second similarity according to the first vector and the second vector. And comparing the second similarity with a pre-stored second similarity threshold, wherein when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are the same field, and the matching is successful, otherwise, the matching is unsuccessful.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the deep neural network model may also be used to calculate the second similarity between the second attribute field to be analyzed and the standard attribute field, that is, the second attribute field to be analyzed and the standard attribute field are respectively input into the neural network model, so that the first feature of the second attribute field to be analyzed and the second feature of the standard attribute field are extracted through the neural network model, and the second similarity is calculated according to the first feature and the second feature. And comparing the second similarity with a pre-stored second similarity threshold, wherein when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are the same field, and the matching is successful, otherwise, the matching is unsuccessful.
In this embodiment, when a page template corresponding to a first attribute field to be analyzed does not exist in a preset page template library, a difference attribute field between the first attribute field to be analyzed and the standard attribute field is obtained, and then a synonymous attribute field of the difference attribute field is obtained; and finally, calculating the similarity between the second attribute field to be analyzed containing the common attribute field and the synonymous attribute field and the standard attribute field, thereby improving the accuracy of acquiring the page template.
The method comprises the steps of searching a page template corresponding to the first attribute field to be analyzed in a preset page template library, wherein the step of searching the page template corresponding to the first attribute field to be analyzed in the preset page template library is that a standard attribute field with the first similarity exceeding a first similarity threshold value exists in the preset page template library. At this time, there are a case where only one page template corresponding to the first attribute field to be analyzed is found, and a case where a plurality of page templates corresponding to the first attribute field to be analyzed are present. And if only one page template corresponding to the first attribute field to be analyzed is found, taking the page template as a target page template. If a plurality of page templates corresponding to the first attribute field to be analyzed are found, screening one page template from the page templates as a target page template is needed.
In this embodiment, a plurality of page templates are prestored in a preset page template library, so as to determine whether the first attribute field to be analyzed is similar to the standard attribute field contained in the page template, that is, calculate a first similarity between the first attribute field to be analyzed and the standard attribute field, and when the first similarity exceeds a first similarity threshold, take the first attribute field to be analyzed, of which the first similarity exceeds the first similarity threshold, as a target attribute field, thereby determining the target page template.
As shown in fig. 6, in an embodiment, the screening the target page template from the plurality of page templates includes:
s601, acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
wherein the difference attribute field refers to other fields than the common attribute field.
S602, determining key attribute fields in the common attribute fields;
the key attribute field may be determined by a priority of the attribute field, and the priority of the attribute field may be preset. A first relation list which represents the relation between the attribute field and the priority is preset in the database. In the first relationship list, each attribute field may correspond to a priority. For example, a first attribute field corresponds to a first priority, a second attribute field corresponds to a second priority, a third attribute field corresponds to a third priority, and so on; of course, one priority may correspond to multiple attribute fields, e.g., a first priority corresponds to a first calendar attribute field, a second attribute field, a third attribute field, and so on. When judging the priority of the common attribute field, searching the common attribute field in the first relation list, and then searching the priority corresponding to the common attribute field.
When determining the key attribute field in the common attribute fields, the attribute field with the highest priority in the common attribute fields may be used as the key attribute field.
S603, calculating the association degree of the difference attribute field and the key attribute field;
the association degree may be an influence relationship between one attribute field and another attribute field, and a content field corresponding to one attribute field may influence a content field corresponding to another attribute field. The degree of association can be distinguished by the magnitude of the numerical value, and the larger the numerical value is, the larger the degree of association is, namely, the larger the content field corresponding to one attribute field is to the content field corresponding to the other attribute field; the smaller the value, the smaller the degree of association, i.e., the smaller the content field corresponding to one attribute field versus the content field corresponding to another attribute field. For example, the association degree of the two attribute fields of "income" and "academy" is greater than the association degree of the two attribute fields of "income" and "gender". The degree of association of the two attribute fields of "income" and "academy" may be set to 0.8, and the degree of association of the two attribute fields of "income" and "gender" may be set to 0.1.
The degree of association between the two attribute fields may be represented by a preset second relationship list indicating the degree of association between the two attribute fields. A second relationship list may be preset in the database. In the second relationship list, the association degree between any two attribute fields may correspond to a value, for example, the association degree between the first attribute field and the second attribute field is a first value, the association degree between the first attribute field and the third attribute field is a second value, and the association degree between the first attribute field and the fourth attribute field is a third value. Of course, the degree of association between the first attribute field and the second attribute field is a first numerical value, the degree of association between the first attribute field and the third attribute field is a first numerical value, and the degree of association between the first attribute field and the fourth attribute field is a first numerical value. When judging the association degree between two attribute fields, firstly searching an attribute field pair consisting of two corresponding attribute fields (a difference attribute field and a key attribute field) in the second relation list, and then searching the association degree corresponding to the attribute field pair.
S604, determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming the target difference attribute field and a common attribute field into a target attribute field;
When the determined target attribute field is determined, the difference attribute field in the attribute field pair corresponding to the maximum association degree is used as a target difference attribute field, and then the target difference attribute field and the common attribute field are spliced to obtain a target attribute field;
s605, taking the page template corresponding to the target attribute field as a target page template.
In this embodiment, after a plurality of page templates are found, one of the page templates needs to be determined as a target page template, at this time, the association degree of the difference attribute field and the common attribute field of the two attribute fields is determined, the target page template is selected according to the association degree, and the accuracy of selecting the page template is improved.
As shown in fig. 7, an embodiment of the present application further provides a code generating apparatus, where the apparatus includes:
a field receiving module 701, configured to receive a first attribute field to be analyzed;
the searching module 702 is configured to search whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library, and generate a search result;
the page template generating module 703 is configured to generate a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, take the first attribute field to be analyzed as a target attribute field, and generate a target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
And the code generating module 704 is used for generating software codes corresponding to the target page templates.
In an embodiment, each of the page templates includes a standard attribute field, and the page module generating block performs the following steps in a process of searching whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library and generating a search result:
calculating a first similarity between the first attribute field to be analyzed and the standard attribute field;
comparing the first similarity with a set first similarity threshold value;
if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library;
and if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library.
In an embodiment, when calculating the first similarity between the first attribute field to be analyzed and the standard attribute field, the page template generating module matches the first attribute field to be analyzed and the standard attribute field one kanji character by one, and calculates the first similarity according to the number of kanji characters successfully matched and the total number of characters in the standard attribute field.
In an embodiment, when calculating the first similarity between the first attribute field to be analyzed and the standard attribute field, the page template generating module may convert the first attribute field to be analyzed into a first vector, convert the standard attribute field into a corresponding second vector, and calculate the corresponding cosine similarity as the first similarity according to the first vector and the second vector.
In an embodiment, when calculating the first similarity between the first attribute field to be analyzed and the standard attribute field, the page template generating module may further calculate the first similarity between the first attribute field to be analyzed and the standard attribute field by using the deep neural network model, that is, input the first attribute field to be analyzed and the standard attribute field into the neural network model, so as to extract the first feature of the first attribute field to be analyzed and the second feature of the standard attribute field through the neural network model, and calculate the first similarity according to the first feature and the second feature.
The page template corresponding to the first attribute field to be analyzed is not found, and the standard attribute field with the first similarity exceeding the first similarity threshold value with the first attribute field to be analyzed does not exist in a preset page template library. That is, the first similarity is smaller than the first similarity threshold, which indicates that the standard attribute field and the first attribute field to be analyzed are not identical fields. At this time, the first attribute field to be analyzed may be taken as a target attribute field, and a target page template may be generated based on the target attribute field. And after the target page template is determined, generating software codes corresponding to the target page template.
In an embodiment, the page template generating module performs the following steps after not finding a page template corresponding to the first attribute field to be analyzed: acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field; acquiring a synonymous attribute field of the difference attribute field; replacing the difference attribute field with a synonymous attribute field; and matching a second attribute field to be analyzed with the standard attribute field to obtain a matching result, wherein the second attribute field to be analyzed comprises a common attribute field and a synonymous attribute field.
In an embodiment, the page template generating module performs the following steps when acquiring the synonymous attribute field of the difference attribute field: acquiring an attribute field library, wherein different basic fields and fields which have the same semantics as the basic fields and represent different expressions are stored in the attribute fields; and searching the synonymous attribute field from the attribute field library according to the mapping relation between the basic field and the synonymous attribute field.
In an embodiment, the page template generating module matches the second attribute field to be analyzed with the standard attribute field to obtain a matching result. Specifically, calculating a second similarity between the second attribute field to be analyzed and the standard attribute field, and obtaining a matching result according to the second similarity and a set second similarity threshold; wherein the matching result comprises successful matching and unsuccessful matching.
The second similarity is a judging index of whether the second attribute field to be analyzed is consistent with the standard attribute field, that is, the second similarity may be a similarity between the second attribute field to be analyzed and the standard attribute field, so as to judge whether the second attribute field to be analyzed is consistent with the standard attribute field according to the similarity.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the second attribute field to be analyzed and the standard attribute field can be matched one kanji character by one, the second similarity is calculated according to the number of kanji characters successfully matched and the total number of characters of the standard attribute field, the second similarity is compared with a pre-stored second similarity threshold, when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are identical fields, the matching is successful, and otherwise, the matching is unsuccessful.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the first attribute field to be analyzed may be converted into a first vector, the standard attribute field may be converted into a corresponding second vector, and the corresponding cosine similarity may be calculated as the second similarity according to the first vector and the second vector. And comparing the second similarity with a pre-stored second similarity threshold, wherein when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are the same field, and the matching is successful, otherwise, the matching is unsuccessful.
In an embodiment, when calculating the second similarity between the second attribute field to be analyzed and the standard attribute field, the deep neural network model may also be used to calculate the second similarity between the second attribute field to be analyzed and the standard attribute field, that is, the second attribute field to be analyzed and the standard attribute field are respectively input into the neural network model, so that the first feature of the second attribute field to be analyzed and the second feature of the standard attribute field are extracted through the neural network model, and the second similarity is calculated according to the first feature and the second feature. And comparing the second similarity with a pre-stored second similarity threshold, wherein when the second similarity exceeds the second similarity threshold, the standard attribute field and the second attribute field to be analyzed are the same field, and the matching is successful, otherwise, the matching is unsuccessful.
In one embodiment, the page template generation module screens a target page template from a plurality of the page templates. Specifically, a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field are firstly obtained; determining key attribute fields in the common attribute fields; calculating the association degree of the difference attribute field and the key attribute field; determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming a target attribute field from the target difference attribute field and a common attribute field; and taking the page template corresponding to the target attribute field as a target page template.
In the embodiment, the implementation manner of the code generating device generally corresponds to the specific implementation manner of the code generating method shown in fig. 2, and will not be described herein.
The invention utilizes the first attribute field to be analyzed to match and obtain the target page template, and then generates the software code corresponding to the target page template, thereby reducing the code input workload of a software developer in the software development process while completing the software development, shortening the development period and the test period of the software development process, and improving the software development efficiency and the software quality.
In an embodiment of the present application, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the steps of:
receiving a first attribute field to be analyzed;
searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result;
generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, taking the first attribute field to be analyzed as a target attribute field, and generating the target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
And generating software codes corresponding to the target page templates.
In an embodiment, optionally, each of the page templates includes a standard attribute field, and the searching, from a preset page template library, whether there is a page template corresponding to the first attribute field to be analyzed, to generate a search result includes:
calculating a first similarity between the first attribute field to be analyzed and the standard attribute field;
comparing the first similarity with a set first similarity threshold value;
if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library;
and if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library.
In an embodiment, if the page template corresponding to the first attribute field to be analyzed is not found, the method further includes:
acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
Acquiring a synonymous attribute field of the difference attribute field;
replacing the difference attribute field with a synonymous attribute field;
and matching a second attribute field to be analyzed with the standard attribute field to obtain a matching result, wherein the second attribute field to be analyzed comprises a common attribute field and a synonymous attribute field.
In an embodiment, the obtaining the synonymous attribute field of the difference attribute field includes:
acquiring an attribute field library, wherein different basic fields and fields which have the same semantics as the basic fields and represent different expressions are stored in the attribute fields;
and searching the synonymous attribute field from the attribute field library according to the mapping relation between the basic field and the synonymous attribute field.
In an embodiment, the matching the second attribute field to be analyzed with the standard attribute field to obtain a matching result includes:
calculating a second similarity between the second attribute field to be analyzed and the standard attribute field;
comparing the second similarity with a set second similarity threshold value to obtain a matching result; the matching result comprises successful matching and unsuccessful matching;
If the second similarity is greater than or equal to the second similarity threshold, the matching result is that the matching is successful;
and if the second similarity is smaller than the second similarity threshold, the matching result is unsuccessful matching.
In an embodiment, the screening the target page template from the plurality of page templates includes:
acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
determining key attribute fields in the common attribute fields;
calculating the association degree of the difference attribute field and the key attribute field;
determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming a target attribute field from the target difference attribute field and a common attribute field;
and taking the page template corresponding to the target attribute field as a target page template.
In an embodiment, the difference attribute field with the greatest degree of association and the difference attribute field in the key attribute field are used as target difference attribute fields, and then the target difference attribute fields and the common attribute fields are spliced to obtain target attribute fields.
The embodiment of the application also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the steps of the code generation method shown in fig. 2 when executing the computer program.
The above steps are substantially the same as the specific embodiments of the code generation method and apparatus, and are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program to instruct related hardware, where the program may be stored in a machine readable storage medium, where the storage medium may be a read only memory, a magnetic disk or optical disk, etc.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
1. A code generation method, comprising:
receiving a first attribute field to be analyzed;
searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result; wherein each of the page templates includes a standard attribute field;
generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, taking the first attribute field to be analyzed as a target attribute field, and generating the target page template based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
Generating a software code corresponding to the target page template;
searching whether a page template corresponding to the first attribute field to be analyzed exists or not from a preset page template library, and generating a searching result, wherein the searching result comprises the following steps: calculating a first similarity between the first attribute field to be analyzed and the standard attribute field; comparing the first similarity with a set first similarity threshold value; if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library; if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library;
if the page templates corresponding to the first attribute fields to be analyzed comprise a plurality of page templates, selecting a target page template from the page templates comprises: acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field; determining key attribute fields in the common attribute fields; calculating the association degree of the difference attribute field and the key attribute field; determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming a target attribute field from the target difference attribute field and a common attribute field; and taking the page template corresponding to the target attribute field as a target page template.
2. The code generation method of claim 1, wherein if a page template corresponding to the first attribute field to be analyzed is not found, the method further comprises:
acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field;
acquiring a synonymous attribute field of the difference attribute field;
replacing the difference attribute field with a synonymous attribute field;
and matching a second attribute field to be analyzed with the standard attribute field to obtain a matching result, wherein the second attribute field to be analyzed comprises a common attribute field and a synonymous attribute field.
3. The code generation method according to claim 2, wherein the obtaining the synonymous attribute field of the difference attribute field includes:
acquiring an attribute field library, wherein different basic fields and fields which have the same semantics as the basic fields and represent different expressions are stored in the attribute fields;
and searching the synonymous attribute field from the attribute field library according to the mapping relation between the basic field and the synonymous attribute field.
4. The code generating method according to claim 2, wherein the matching the second attribute field to be analyzed with the standard attribute field to obtain a matching result includes:
Calculating a second similarity between the second attribute field to be analyzed and the standard attribute field;
comparing the second similarity with a set second similarity threshold value to obtain a matching result; the matching result comprises successful matching and unsuccessful matching;
if the second similarity is greater than or equal to the second similarity threshold, the matching result is that the matching is successful;
and if the second similarity is smaller than the second similarity threshold, the matching result is unsuccessful matching.
5. The code generating method according to claim 1, wherein a difference attribute field of the difference attribute field and the key attribute field having the greatest degree of association is taken as a target difference attribute field, and then the target difference attribute field is spliced with a common attribute field to obtain a target attribute field.
6. A code generating apparatus, comprising:
the field receiving module is used for receiving a first attribute field to be analyzed;
the searching module is used for searching whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library and generating a searching result; wherein each of the page templates includes a standard attribute field;
The page template generation module is used for generating a target page template according to the search result, and if the search result is that the page template corresponding to the first attribute field to be analyzed is not found, the first attribute field to be analyzed is used as a target attribute field, and the target page template is generated based on the target attribute field; if the search result is that the page template corresponding to the first attribute field to be analyzed is searched, the searched page template corresponding to the first attribute field to be analyzed is used as a target page template;
the code generation module is used for generating software codes corresponding to the target page templates;
the searching module searches whether a page template corresponding to the first attribute field to be analyzed exists in a preset page template library, and calculates first similarity between the first attribute field to be analyzed and the standard attribute field in the process of generating a searching result; comparing the first similarity with a set first similarity threshold value; if the first similarity is greater than or equal to the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed exists in the page template library; if the first similarity is smaller than the first similarity threshold, the search result is that a page template corresponding to the first attribute field to be analyzed does not exist in the page template library;
The page template generating module screens a target page template from the page templates when the page templates corresponding to the first attribute fields to be analyzed comprise a plurality of page templates, and the method comprises the following steps: acquiring a difference attribute field and a common attribute field of the first attribute field to be analyzed and the standard attribute field; determining key attribute fields in the common attribute fields; calculating the association degree of the difference attribute field and the key attribute field; determining a target difference attribute field from a plurality of difference attribute fields based on the association degree, and forming a target attribute field from the target difference attribute field and a common attribute field; and taking the page template corresponding to the target attribute field as a target page template.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the code generation method of any of claims 1 to 5 when the computer program is executed.
8. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the code generation method of any of claims 1 to 5.
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