CN114861456A - Method and device for optimizing output of product analysis result, electronic equipment and storage medium - Google Patents
Method and device for optimizing output of product analysis result, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a method and a device for optimizing output of product analysis results, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function; judging whether a preset optimization triggering condition is met or not according to the second product parameter through a preset operator function; under the condition that a preset optimization triggering condition is met, calling a preset product analysis optimization function to output a product analysis optimization result through the product analysis optimization function; and returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result. In the embodiment of the application, the product analysis optimization function returns the product analysis optimization result to overcome the trouble that the product analysis result faces error report with divisor zero, and the related functions of the function can be ensured to be normally used so as to facilitate single-product Margi n analysis and obtain a reliable product analysis optimization result.
Description
Technical Field
The embodiment of the application relates to, but not limited to, the technical field of software, and in particular relates to a method and a device for optimizing output of product analysis results, electronic equipment and a computer-readable storage medium.
Background
At present, a function plays a more important tool role in more and more individuals and even enterprises and public institutions, for example, a decode function is a currently used software-specific calculation function, and is favored by users due to a concise operation mode, a controllable data model and flexible format conversion thereof, a single-product Margin analysis function executes background calculation on the basis of the decode function in a postgresql database, but the decode function has an output vulnerability with a divisor of zero, even if the function using the decode function has a trouble of error reporting with a divisor of zero, and a lot of calculations relate to content with a divisor of 0, so that the function of the decode function cannot be normally used, and the single-product Margin analysis is not favorable.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the application provides a method and a device for optimizing the output of a product analysis result, electronic equipment and a computer-readable storage medium, which can ensure that the related functions of a function are normally used, so that the single-product Margin analysis can be conveniently carried out to obtain a reliable product analysis optimization result.
In a first aspect, an embodiment of the present application provides an output optimization method for product analysis results, where the output optimization method includes:
acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function, wherein the first product parameter is a dividend, and the second product parameter is a divisor;
judging whether a preset optimization triggering condition is met or not according to the second product parameter through a preset operator function;
under the condition that a preset optimization triggering condition is met, calling a preset product analysis optimization function to output a product analysis optimization result through the product analysis optimization function;
and returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result.
According to the output optimization method of the product analysis result provided by the application, at least the following beneficial effects are achieved: the method comprises the steps of inputting a first product parameter and a second product parameter into a product analysis quotient function to obtain an initial product analysis result obtained by dividing the first product parameter by the second product parameter, calling the product analysis optimization function to enable the product analysis quotient function to output a product analysis optimization result and return the product analysis optimization result to the product analysis quotient function under the condition that a preset optimization trigger condition is met under the condition that an operator function judges whether the preset optimization trigger condition is met according to the second product parameter, so that the product analysis quotient function outputs the product analysis optimization result, namely the initial product analysis result possibly has the trouble of error report due to the fact that the second product parameter is zero, and outputting and returning the product analysis optimization result through the product analysis quotient function to overcome the trouble of error report of the product analysis result, therefore, the related functions of the function functions can be ensured to be normally used, so that the single-product Margin analysis can be conveniently carried out, and a reliable product analysis optimization result can be obtained.
According to some embodiments of the application, the operator function is a numeric operator function; the judging whether the preset optimization triggering condition is met or not according to the second product parameter through a preset operator function comprises the following steps:
judging whether the value of the second product parameter is equal to zero or not through the numerical operator function;
and when the value of the second product parameter is equal to zero, determining that a preset optimization triggering condition is met. Because the preset optimization triggering condition is set according to whether the divisor is zero or not, the second product parameter can be judged according to whether the numerical value of the second product parameter is zero or not, so that when the second product parameter input to the product analysis quotient function meets the preset optimization triggering condition through the numerical operator function, namely when the initial product analysis result is determined to possibly have error reporting trouble, the initial product analysis result is optimized to solve the problem of error reporting trouble of the product analysis result which possibly occurs.
According to some embodiments of the application, the outputting the product analysis optimization result by the product analysis optimization function includes:
and rewriting an initial product analysis result through the product analysis optimization function to obtain a product analysis optimization result, wherein the initial product analysis result is a result of performing quotient operation on the first product parameter and the second product parameter through the product analysis quotient function. The initial product analysis result is rewritten through the product analysis optimization function to obtain a product analysis optimization result, and then the product analysis optimization function feeds back the product analysis optimization result, that is, the product analysis optimization result is fed back to rewrite the initial product analysis result into a product analysis optimization result for output, so that the content of the numerical value of the second product parameter can be better corresponded and prompted through the rewriting mode, and the operation management personnel can record and manage and control more conveniently, so that the problem of error reporting of the product analysis result which may occur is solved.
According to some embodiments of the present application, rewriting the initial product analysis result by the product analysis optimization function to obtain a product analysis optimization result includes:
and outputting a preset numerical value as the product analysis optimization result for rewriting the initial product analysis result through the product analysis optimization function. The initial product analysis result can be rewritten to the required preset value by outputting the preset value as the product analysis optimization result, the rewriting mode can correspondingly show that the value of the second product parameter is zero, that is, if the initial product analysis result is output as the required preset value, the value of the second product parameter as the divisor can be deduced to be zero, so that the product analysis result can be better corresponded and the content of the value of the second product parameter can be prompted by the rewriting mode, and the operation management personnel can record and manage and control more conveniently, so that the problem of error reporting of the product analysis result which possibly occurs can be solved.
According to some embodiments of the present application, rewriting the initial product analysis result by the product analysis optimization function to obtain a product analysis optimization result includes:
outputting a null value through the product analysis optimization function as the product analysis optimization result for rewriting the initial product analysis result. The initial product analysis result can be rewritten to the null value by outputting the null value as the product analysis optimization result, and the numerical value of the second product parameter can be correspondingly presented to be zero, that is, if the initial product analysis result is output to be the null value, the numerical value of the second product parameter as the divisor can be deduced to be zero, so that the numerical value can be better corresponded and the content of the second product parameter can be prompted by the rewriting mode, and the operation management personnel can record and control the product analysis result more conveniently, so that the problem of error reporting of the product analysis result which may occur is solved.
According to some embodiments of the present application, rewriting the initial product analysis result by the product analysis optimization function to obtain a product analysis optimization result includes:
outputting a value of zero as the product analysis optimization result for rewriting the initial product analysis result through the product analysis optimization function. The product analysis optimization result is output through zero value, namely, the initial product analysis result can be rewritten to zero, the value of the second product parameter can be correspondingly presented to be zero, namely, if the initial product analysis result is output to be zero, the value of the second product parameter as a divisor can be deduced to be zero, therefore, the value of the second product parameter can be better corresponded and prompted through the rewriting mode, the content of the value of the second product parameter is more convenient for operation management personnel to record and manage, and the problem of trouble in error reporting of the product analysis result which possibly occurs is solved.
According to some embodiments of the application, the output optimization method further comprises:
when the value of the second product parameter is not zero, determining that the preset optimization triggering condition is not met;
under the condition that a preset optimization triggering condition is not met, taking the first product parameter as a dividend, taking the second product parameter as a divisor, and dividing the first product parameter and the second product parameter to obtain a final product analysis result;
and outputting the final product analysis result through the product analysis quotient function.
When the value of the second product parameter is not zero, the quotient result output by the product analysis quotient function through the division of the first product parameter and the second product parameter is accurate and can be used as a final product analysis result, and the trouble of error reporting of the product analysis result cannot occur.
In a second aspect, an embodiment of the present application further provides an output optimization apparatus for product analysis results, where the output optimization apparatus includes:
the system comprises a first processing module, a second processing module and a control module, wherein the first processing module is used for acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function, the first product parameter is a dividend, and the second product parameter is a divisor;
the second processing module is used for judging whether a preset optimization triggering condition is met or not according to the second product parameter through a preset operator function;
the third processing module is used for calling a preset product analysis optimization function under the condition that a preset optimization triggering condition is met, so that a product analysis optimization result is output through the product analysis optimization function;
and the fourth processing module is used for returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result.
According to the output optimizing device of the product analysis result provided by the application, at least the following beneficial effects are achieved: the first processing module inputs the first product parameter and the second product parameter to the product analysis quotient function to obtain an initial product analysis result obtained by dividing the first product parameter and the second product parameter, and the second processing module judges whether the preset optimization triggering condition is met according to the second product parameter through the operator function, and the third processing module and the fourth processing module can further call the product analysis optimization function to enable the product analysis optimization function to output the product analysis optimization result and return the product analysis optimization result to the product analysis quotient function under the condition that the preset optimization triggering condition is met, so that the product analysis quotient function outputs the product analysis optimization result, that is, the initial product analysis result possibly has the trouble of error report due to the fact that the second product parameter is zero, and the trouble of error report can be overcome by outputting and returning the product analysis optimization result through the product analysis optimization function, therefore, the related functions of the function functions can be ensured to be normally used so as to facilitate the single-product Margin analysis and obtain reliable product analysis results.
In a third aspect, an embodiment of the present application further provides an electronic device, including: the system 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 computer program to realize the output optimization method of the product analysis result according to the previous embodiments.
In a fourth aspect, the present application further provides a computer-readable storage medium storing computer-executable instructions for performing the method for optimizing the output of the product analysis result according to the foregoing embodiments.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.
FIG. 1 is a flow chart of a method for optimizing output of product analysis results according to an embodiment of the present application;
fig. 2 is a flowchart illustrating a method for optimizing output of a product analysis result according to an embodiment of the present application, where whether a preset optimization trigger condition is satisfied is determined;
fig. 3 is a flowchart of outputting a product analysis optimization result through a product analysis optimization function in a method for outputting an optimization result of a product analysis according to an embodiment of the present application;
fig. 4 is a flowchart illustrating that, in the method for optimizing output of a product analysis result according to an embodiment of the present application, an initial product analysis result is rewritten by a product analysis optimization function to obtain a product analysis optimization result;
fig. 5 is a flowchart illustrating that, in the method for optimizing output of a product analysis result according to another embodiment of the present application, an initial product analysis result is rewritten by a product analysis optimization function to obtain a product analysis optimization result;
fig. 6 is a flowchart illustrating that, in the method for optimizing output of a product analysis result according to another embodiment of the present application, an initial product analysis result is rewritten by a product analysis optimization function to obtain a product analysis optimization result;
FIG. 7 is a flow chart of a method for optimizing output of product analysis results according to another embodiment of the present application;
FIG. 8 is a schematic diagram of an apparatus for optimizing output of product analysis results provided by an embodiment of the present application;
fig. 9 is a schematic diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that although functional block divisions are performed in apparatus diagrams and logical orders are illustrated in flowcharts, in some cases, steps shown or described may be performed in orders different from block divisions in apparatus diagrams or flowcharts. The terms first, second and the like in the description and in the claims, and the drawings described above, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
It is to be noted that, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
The application provides an output optimization method and device of product analysis results, an electronic device and a computer readable storage medium, wherein a first product parameter and a second product parameter are input into a product analysis quotient function to obtain an initial product analysis result obtained by dividing the first product parameter and the second product parameter, and under the condition that whether a preset optimization triggering condition is met is judged according to the second product parameter through an operator function, the product analysis optimization function is called to enable the product analysis optimization function to output a product analysis optimization result and return the product analysis optimization result to the product analysis quotient function under the condition that the preset optimization triggering condition is met, so that the product analysis quotient function outputs the product analysis optimization result, namely, the initial product analysis result possibly has the trouble of error report due to the fact that the second product parameter is zero, the product analysis optimization function can output and return a product analysis optimization result to overcome the trouble of error reporting, so that the related functions of the product analysis result can be ensured to be normally used, and the single-product Margin analysis can be conveniently carried out to obtain a reliable product analysis result.
The embodiments of the present application will be further explained with reference to the drawings.
As shown in fig. 1, fig. 1 is a flowchart of an output optimization method of product analysis results including, but not limited to, a first product analysis quotient function unit, an operator function, and a product analysis optimization function according to an embodiment of the present application, and the output optimization method includes, but not limited to, steps S110 to S140.
It should be noted that the type, composition, application environment, and the like of the product analysis result are not limited, that is, a person skilled in the art may select and set on the basis of this embodiment according to the actual application scenario, and the following embodiments are only used to illustrate the implementation principle of this application. For example, when the product analysis result needs to output multiple quotient results simultaneously, more product analysis quotient functions may be set, so that more parameter inputs can be simultaneously used for calculation, and for the combination of the operator function and the product analysis optimization function, multiple sets may be set, each set individually corresponds to each product analysis quotient function, or one set respectively corresponds to each product analysis quotient function unit, which is not limited herein.
Step S110: and acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function.
It should be noted that the first product parameter is a dividend, and the second product parameter is a divisor.
In this step, the first product parameter and the second product parameter to be subjected to quotient calculation are obtained from the preset product analysis quotient function, so that an initial product analysis result obtained by dividing the first product parameter and the second product parameter can be obtained, that is, the product analysis quotient function can be used for outputting the initial product analysis result, so that the initial product analysis result can be further rewritten in the subsequent steps.
It should be noted that, the values of the first product parameter and the second product parameter may be selected according to specific characteristics of the product, and the order of inputting the first product parameter and the second product parameter into the product analysis quotient function is not limited and does not affect the calculation of the two, that is, the first product parameter and the second product parameter may be simultaneously input into the product analysis quotient function, or may be respectively input into the product analysis quotient function, or the first product parameter or the second product parameter may also be pre-prepared product-related data, for example, the first product parameter may be a parameter pre-stored in the product analysis quotient function, and is not limited herein.
Step S120: and judging whether the preset optimization triggering condition is met or not according to the second product parameter through a preset operator function.
In this step, whether the preset optimization triggering condition is met or not is judged according to the second product parameter through the preset operator function so as to judge whether the product analysis result possibly has error reporting trouble, so that the initial product analysis result of the product analysis optimization function in the subsequent step is rewritten to overcome the error reporting trouble of the product analysis result output result.
As shown in fig. 2, in an embodiment of the present application, step S120 is further described in the case that the operator function is a numerical operator function, and step S120 may include, but is not limited to, steps S121 to S122.
Step S121: judging whether the value of the second product parameter is equal to zero or not through a numerical operator function;
step S122: and when the value of the second product parameter is equal to zero, determining that the preset optimization triggering condition is met.
In this step, since the preset optimized triggering condition is set for whether the divisor is zero, it is possible to determine whether the value of the second product parameter is zero, so that when it is determined through the numerical operator function that the second product parameter input to the product analysis quotient function satisfies the preset optimized triggering condition, that is, when it is determined that the initial product analysis result may have an error reporting trouble, the initial product analysis result is optimized to solve the error reporting trouble problem that may occur.
In a feasible implementation manner, the numerical operator function comprises a detection function unit and a calling function unit, so that whether the value of the second product parameter meets the preset optimization triggering condition can be detected through the detection function unit, and then the calling function unit is used for calling the product analysis optimization function to calculate the input parameter.
It should be noted that, the specific composition forms of the operator function and the product analysis optimization function and the specific functions of the operator function may be selected and applied according to the situation in a specific application scenario, which is not limited in this embodiment.
Step S130: under the condition that a preset optimization triggering condition is met, calling a preset product analysis optimization function to output a product analysis optimization result through the product analysis optimization function;
step S140: and returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result.
In this step, the first product parameter and the second product parameter are input to the product analysis quotient function to obtain an initial product analysis result obtained by dividing the first product parameter and the second product parameter, and in the case that the operator function determines whether the preset optimization triggering condition is satisfied according to the second product parameter, the product analysis optimization function is further called to enable the product analysis optimization function to output the product analysis optimization result and return the product analysis optimization result to the product analysis quotient function under the condition that the preset optimization triggering condition is satisfied, so that the product analysis quotient function outputs the product analysis optimization result, that is, the initial product analysis result possibly has error reporting due to the fact that the second product parameter is zero, and the product analysis optimization result can be output and returned to overcome the trouble of the error reporting through the product analysis optimization function, therefore, the related functions of the product analysis result can be ensured to be normally used so as to facilitate the single-product Margin analysis and obtain a reliable product analysis result.
It should be noted that, the manner of invoking the product analysis optimization function may be various, and is not limited herein. For example, an operator sets a related calling program, monitors the use condition of an operator function, and determines whether to call a product analysis optimization function by using the related calling program according to the monitored use condition of the operator function; for another example, an operator function and a product analysis optimization function are pre-constructed, and modules corresponding to different functions in each function are split during construction, so that the split modules can be used for respectively realizing the working effect in a specific scene, and finally, the product analysis optimization function can be called integrally.
It is understood that, besides being beneficial to single-product Margin analysis, the method of the embodiment can also be applied to relevant logic analysis, data analysis and the like by a person skilled in the art, and the method is not limited herein.
It should be noted that the preset optimization triggering condition may be multiple, and may be selectively set according to different application scenarios, which is not limited herein.
As shown in fig. 3, according to an embodiment of the present application, for further describing step S130, the step S130 of "outputting the product analysis optimization result through the product analysis optimization function" may include, but is not limited to, step S131.
Step S131: and rewriting the initial product analysis result through a product analysis optimization function to obtain a product analysis optimization result.
It should be noted that the initial product analysis result is a result of performing quotient operation on the first product parameter and the second product parameter by the product analysis quotient function.
In this step, the initial product analysis result is rewritten through the product analysis optimization function to obtain a product analysis optimization result, and then the product analysis optimization function feeds back the product analysis optimization result, that is, the product analysis optimization result is fed back to rewrite the initial product analysis result into a product analysis optimization result for output, so that the content of the value of the second product parameter can be better corresponded and prompted through the rewriting mode, and the operation and management personnel can record and manage more conveniently, so as to solve the trouble problem of error reporting that may occur.
It can be understood that, if it is determined that the divisor input to the product analysis quotient function does not satisfy the preset optimization triggering condition, the initial product analysis result may not be rewritten, in this case, the initial product analysis result may be further processed by other relevant means to solve the problem of error reporting, for example, the values of the first product parameter and the second product parameter input to the product analysis quotient function are modified, or the calculation manner of the product analysis quotient function is modified, which is not limited in this embodiment.
It should be noted that the preset optimized triggering condition may further include more preset conditions, such as a second preset optimized triggering condition, a third preset optimized triggering condition, and the like, and the preset optimized triggering condition may be specifically selected and set according to an actual scene. For example, in an implementation scenario, when the divisor is 2 or the output initial product analysis result is not allowed to be a halved output result, another second preset optimization triggering condition may be applied, that is, whether the second product parameter as the divisor is 2 is determined, and then optimization is performed based on the determination result, and so on, and for all cases, determination may be performed by setting a corresponding preset optimization triggering condition.
As shown in fig. 4, according to an embodiment of the present application, step S131 is further described, and step S131 may include, but is not limited to, step S1311.
Step S1311: and outputting a preset numerical value through a product analysis optimization function to serve as a product analysis optimization result for rewriting the initial product analysis result.
In this step, the initial product analysis result can be rewritten to the required preset value by outputting the preset value as the product analysis optimization result, and this rewriting manner can correspondingly present that the value of the second product parameter is zero, that is, if the initial product analysis result is output as the required preset value, it can be inferred that the value of the second product parameter as the divisor is zero, so that the numerical content of the second product parameter can be better corresponded and prompted by this rewriting manner, and the operation manager can record and manage more conveniently, so as to solve the trouble problem of error reporting of the product analysis result which may occur.
As shown in fig. 5, according to an embodiment of the present application, step S131 is further described, and step S131 may include, but is not limited to, step S1312.
Step S1312: and outputting a null value through a product analysis optimization function to serve as a product analysis optimization result for rewriting the initial product analysis result.
In this step, the null value is output as the product analysis optimization result, the initial product analysis result can be rewritten into the null value, and the value of the second product parameter can be correspondingly presented as zero, that is, if the initial product analysis result is output as the null value, the value of the second product parameter as the divisor can be inferred to be zero, so that the content of the value of the second product parameter can be better corresponded and prompted through the rewriting mode, and the operation and management personnel can more conveniently record and manage, so that the trouble problem of error reporting which may occur in the operation and management personnel can be solved.
As shown in fig. 6, according to an embodiment of the present application, step S131 is further described, and step S131 may include, but is not limited to, step S1313.
Step S1313: and outputting a numerical value of zero through a product analysis optimization function to serve as a product analysis optimization result for rewriting the initial product analysis result.
In this step, the initial first quotient result can be rewritten to zero by outputting the value zero as the product analysis optimization result, and the value of the second product parameter can be correspondingly presented to be zero, that is, if the first initial product analysis result is output to be zero, it can be inferred that the value of the second product parameter as the divisor is zero, so that the content of the value of the second product parameter can be better corresponded and prompted by the rewriting method, and the operation and management personnel can record and manage more conveniently, so as to solve the problem of trouble of error reporting of the product analysis result which may occur.
It should be noted that inputting the first product parameter and the second product parameter is realized by calling a product analysis optimization function, that is, when it can be determined that the value of the second product parameter is zero and the product analysis optimization function is called, the first product parameter and the second product parameter are input into the product analysis optimization function, so that the first product parameter and the second product parameter are divided by the input first product parameter and the input second product parameter, and a corresponding product analysis optimization result is output.
It should be noted that, the output result of the product analysis optimization function may be determined to be a preset value, a null value or zero in various ways. For example, the output result of the product analysis optimization function in this case (i.e., the divisor is zero) is preset value, null value, or zero, so that when the product analysis optimization function outputs one result, it can be determined that the output result is the preset value, null value, or zero; for another example, when the divisor is zero, the output result of the product analysis optimization function is assigned to a preset value, a null value, or zero according to a preset program, so that when the product analysis optimization function outputs a result, it can be determined that the output result is the preset value, the null value, or zero.
As shown in fig. 7, an embodiment of the present application may further include, but is not limited to, steps S140 to S160.
Step S140: when the value of the second product parameter is not zero, determining that the preset optimization triggering condition is not met;
step S150: under the condition that a preset optimization triggering condition is not met, taking the first product parameter as a dividend, taking the second product parameter as a divisor, and dividing the first product parameter and the second product parameter to obtain a final product analysis result;
step S160: and outputting a final product analysis result through a product analysis quotient function.
In this step, when the value of the second product parameter is not zero, it indicates that the quotient result output by the product analysis quotient function by dividing the first product parameter and the second product parameter is accurate and can be used as the final product analysis result, i.e., no error occurs, that is, under this condition, the related functions of the function can be ensured to be normally used so as to facilitate the single-product Margin analysis.
It can be understood that there may be more adjustment modes according to the specific functions provided by the operator function, and the selection setting may be specifically performed according to the actual scene. For example, in an implementation scenario, when it is determined by the operator function that the value of the second product parameter does not meet the preset value or meets the preset value, the product analysis optimization function may be invoked accordingly or the initial product analysis result is maintained unchanged, and so on, and for all cases, the determination may be performed by setting corresponding preset conditions.
Specific examples are given below to illustrate the working principle of the above-described embodiments.
Example one:
referring to the code example below, one embodiment of optimizing a function using a call product analysis is presented.
create operator//(procedure＝div_zero,leftarg＝numeric,rightarg＝numeric)；
Wherein, div _ zero is a product analysis optimization function, specifically, div _ zero (numerical); the method includes calling a product analysis optimization function div _ zero through a preset operator, numeric indicates a type of a called parameter, leftarg indicates a left parameter of the called div _ zero, that is, a divisor, which may be a second product parameter as a divisor in the above embodiment, and rightarg indicates a right parameter, that is, a dividend, which may be a first product parameter as a dividend in the above embodiment.
It can be seen that the purpose of calling the product analysis optimization function can be realized by creating an operator and calling the product analysis optimization function based on the operator, which is equivalent to calling the product analysis optimization function under the condition of meeting a preset optimization triggering condition.
Example two:
in the related art, the syntax of case existing in the SQL standard can be used to support returning other values when the divisor is zero, for example:
select case when c2＝0then null else c1/c2 end from tbl；
it can be known that when the divisor c2 is zero, the output result is null, that is, the trouble of error reporting occurs, and at this time, the problem may be solved by modifying the code, but when the related art is applied in a specific scenario, when there are more functions to be integrated, the correspondingly required sql is also more, since the service logic is very complex, and many lines of codes all use the decode function, the solution is that a case where is used, but considering that too many used parts are used, it means that too many modification points are involved in directly modifying the codes, which is not in line with the requirements of the actual application scenario.
And with reference to the product analysis optimization function related code provided by the embodiments of the present application:
create or replace function div_zero(numeric,numeric)returns numeric as$$；
select case when$2<>0then$1/$2else 0end；
$$language sql strict immutable；
wherein, div _ zero is a product analysis optimization function, specifically, div _ zero (numerical); the product analysis optimization function div _ zero is called through a preset operator, numeric represents the type of the called parameter, leftarg represents the left parameter of the called div _ zero, that is, the divisor, which may be the second product parameter as the divisor in the above embodiment, and rightarg represents the right parameter, that is, the divisor, which may be the first product parameter as the dividend in the above embodiment.
It can be known that, in the case that the product analysis optimization function div _ zero is called, the product analysis optimization function div _ zero obtained through the pre-construction or replacement mode will feed back $, specifically, when the value of the second product parameter is zero, the output product analysis optimization result is a preset value, a null value or zero, or, when the value of the second product parameter is not zero, the output result is $ of a quotient between the first product parameter and the second product parameter, and then $isdefined as a strictly defined parameter in the sql language, that is, $ $ can be used for feeding back the value to rewrite the first quotient result of the first product analysis quotient function unit according to the $.
After the improvement of the embodiment, for "select case where c2 is 0the null else c1/c2 end from tbl" in the related art, compared with the case where the error-reporting divisor is zero, the embodiment can output the required product analysis optimization result, thereby solving the error-reporting trouble that the divisor is zero, and enabling the function of the product analysis result to be normally executed.
In addition, as shown in fig. 8, an embodiment of the present application further provides an output optimization apparatus for product analysis results, including:
the system comprises a first processing module 100, a second processing module and a processing module, wherein the first processing module is used for acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function, the first product parameter is a dividend, and the second product parameter is a divisor;
the second processing module 200 is configured to determine whether a preset optimized triggering condition is met according to the second product parameter through a preset operator function;
the third processing module 300 is configured to, if a preset optimization triggering condition is met, call a preset product analysis optimization function, so as to output a product analysis optimization result through the product analysis optimization function;
the fourth processing module 400 is configured to return the product analysis optimization result to the product analysis quotient function, so that the product analysis quotient function outputs the product analysis optimization result.
In an embodiment, the first processing module 100 obtains an initial product analysis result obtained by dividing the first product parameter by the second product parameter by inputting the first product parameter and the second product parameter to the product analysis quotient function, and the second processing module 200 determines whether the preset optimization triggering condition is satisfied according to the second product parameter by the operator function, and the third processing module 300 and the fourth processing module 400 may further call the product analysis optimization function so that the product analysis optimization function outputs the product analysis optimization result and returns the product analysis optimization result to the product analysis quotient function in the case that the preset optimization triggering condition is satisfied, so that the product analysis quotient function outputs the product analysis optimization result, that is, the initial product analysis result may have a trouble of error report due to the second product parameter being zero, the product analysis optimization function can output and return a product analysis optimization result to overcome the trouble of error reporting, so that the related functions of the function can be ensured to be normally used to facilitate single-product Margin analysis.
In addition, referring to fig. 9, an embodiment of the present application also provides an electronic device including: a memory, a processor, and a computer program stored on the memory and executable on the processor.
The processor and memory may be connected by a bus or other means.
The non-transitory software program and instructions required for implementing the method for optimizing the output of the product analysis result of the above embodiments are stored in the memory, and when being executed by the processor, the method for optimizing the output of the product analysis result shown in the foregoing embodiments is executed, and has the following beneficial effects:
by inputting the first product parameter and the second product parameter to the product analysis quotient function to obtain an initial product analysis result of the first product parameter divided by the second product parameter, and in case of judging whether the preset optimized triggering condition is satisfied according to the second product parameter by the operator function, the product analysis optimization function may be further invoked to enable the product analysis optimization function to output a product analysis optimization result and return the product analysis optimization result to the product analysis quotient function, so that the product analysis quotient function outputs the product analysis optimization result, that is, the initial product analysis result may be troubled by error due to the second product parameter being zero, the product analysis optimization function can output and return a product analysis optimization result to overcome the trouble of error reporting, thereby ensuring that the related functions of the function are normally used to facilitate the single-product Margin analysis. The above-described embodiments of the apparatus are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, an embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, where the computer-executable instructions are executed by a processor or a controller, for example, by a processor in the above-mentioned apparatus embodiment, and may cause the processor to perform the method for optimizing output of product analysis results in the above-mentioned embodiment, for example, the method for optimizing output of product analysis results shown in the above-mentioned embodiments is performed, and the following beneficial effects are achieved:
by inputting the first product parameter and the second product parameter to the product analysis quotient function to obtain an initial product analysis result of the first product parameter divided by the second product parameter, and in case of judging whether the preset optimization triggering condition is satisfied according to the second product parameter by the operator function, the product analysis optimization function may be further invoked to enable the product analysis optimization function to output a product analysis optimization result and return the product analysis optimization result to the product analysis quotient function, so that the product analysis quotient function outputs the product analysis optimization result, that is, the initial product analysis result may be troubled by error due to the second product parameter being zero, the product analysis optimization function can output and return a product analysis optimization result to overcome the trouble of error reporting, thereby ensuring that the related functions of the function are normally used to facilitate the single-product Margin analysis. The above embodiments may be combined, and the modules with the same name may be the same or different between different embodiments.
While certain embodiments of the present application have been described above, other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily have to be in the particular order shown or in sequential order to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, device, and computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and in relation to the description, reference may be made to some portions of the description of the method embodiments.
The apparatus, the device, the computer-readable storage medium, and the method provided in the embodiments of the present application correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have advantageous technical effects similar to those of the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules.
For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an integrated circuit chip, such programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development, and the original code before compiling is also written by a specific programming Language, which is called Hardware Description Language (HDL), and HDL is not only one kind but many kinds, for example:
abel (advanced Boolean Expression language); ahdl (altera Hardware Description language); confluent; cupl (corner University Programming language); HDCal; and
jhdl (java Hardware Description language); lava, Lola, MyHDL, PALSM, RHDL (Ruby Hardware Description Language), etc.;
at present, VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and the Language Verilog are more commonly used among the technologies in the art by comparison. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers:
ARC 625D, Atmel AT91SAM, MicrochIP address PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units can be implemented in the same software and/or hardware or in a plurality of software and/or hardware when implementing the embodiment of the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present specification has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the embodiments of the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Embodiments of 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. Embodiments of 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.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An output optimization method for product analysis results, the output optimization method comprising:
acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function, wherein the first product parameter is a dividend, and the second product parameter is a divisor;
judging whether a preset optimization triggering condition is met or not according to the second product parameter through a preset operator function;
under the condition that a preset optimization triggering condition is met, calling a preset product analysis optimization function to output a product analysis optimization result through the product analysis optimization function;
and returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result.
2. The method of claim 1, wherein the operator function is a numerical operator function;
the judging whether the preset optimization triggering condition is met or not according to the second product parameter through a preset operator function comprises the following steps:
judging whether the value of the second product parameter is equal to zero or not through the numerical operator function;
and when the value of the second product parameter is equal to zero, determining that a preset optimization triggering condition is met.
3. The method of claim 1, wherein outputting the product analysis optimization result through the product analysis optimization function comprises:
and rewriting an initial product analysis result through the product analysis optimization function to obtain a product analysis optimization result, wherein the initial product analysis result is a result of performing quotient operation on the first product parameter and the second product parameter through the product analysis quotient function.
4. The method of claim 3, wherein the rewriting the initial quotient result by the product analysis optimization function to obtain a product analysis optimization result comprises:
and outputting a preset numerical value as the product analysis optimization result for rewriting the initial product analysis result through the product analysis optimization function.
5. The method of claim 3, wherein the rewriting the initial product analysis result by the product analysis optimization function to obtain the product analysis optimization result comprises:
outputting a null value through the product analysis optimization function as the product analysis optimization result for rewriting the initial product analysis result.
6. The method of claim 3, wherein the rewriting the initial product analysis result by the product analysis optimization function to obtain the product analysis optimization result comprises:
outputting a value of zero as the product analysis optimization result for rewriting the initial product analysis result through the product analysis optimization function.
7. The method of optimizing output of product analysis results according to claim 1, further comprising:
when the value of the second product parameter is not zero, determining that the preset optimization triggering condition is not met;
under the condition that a preset optimization triggering condition is not met, taking the first product parameter as a dividend, taking the second product parameter as a divisor, and dividing the first product parameter and the second product parameter to obtain a final product analysis result;
and outputting the final product analysis result through the product analysis quotient function.
8. An output optimization apparatus for a product analysis result, comprising:
the system comprises a first processing module, a second processing module and a control module, wherein the first processing module is used for acquiring a first product parameter and a second product parameter to be subjected to quotient operation from a preset product analysis quotient function, the first product parameter is a dividend, and the second product parameter is a divisor;
the second processing module is used for judging whether a preset optimization triggering condition is met or not according to the second product parameter through a preset operator function; the third processing module is used for calling a preset product analysis optimization function under the condition that a preset optimization triggering condition is met, so that a product analysis optimization result is output through the product analysis optimization function;
and the fourth processing module is used for returning the product analysis optimization result to the product analysis quotient function so that the product analysis quotient function outputs the product analysis optimization result.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements a method for optimizing the output of the results of a product analysis according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing computer-executable instructions for performing the method of output optimization of product analysis results of any one of claims 1 to 7.
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