CN109947658B - Method and device for simulating real scene data generation - Google Patents
Method and device for simulating real scene data generation Download PDFInfo
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Abstract
A method and device for simulating real scene data generation introduce the distribution weight of user experience time period, and randomly obtain-start time data; generating a random number n, taking the random number n as experience duration, generating-end time data according to the start time data and the random number n, and taking the start time data and the end time data as a data group; judging whether the data group has time conflict or not, outputting starting time data and ending time data when the time conflict does not exist, and outputting the starting time data and the ending time data after the time conflict exists and is adjusted; introducing an output result, and randomly generating experience start-stop time contained in a basic data result according to the basic data; introducing product data, and randomly generating and outputting click data; and combining the experience start-stop time and the click data into n operation records at random. Experience data of all the network points are generated randomly in batches, and a developer can use the data generated by simulation for pressure measurement, statistics and analysis.
Description
Technical Field
The embodiment of the invention relates to the technical field of data simulation operation, in particular to a method and a device for simulating real scene data generation.
Background
At present, different stages of verification work, including prototype functional demonstration, functional testing, performance testing, etc., are generally required for application systems or software products. The test and demonstration scenario involves the preparation of test data. The test data can directly multiplex the historical data sometimes, but in many cases, the test data established based on the historical data may have the situations of incomplete content loss, insufficient data magnitude, incapability of deriving data related to secret, incapability of participating in calculation after the data is encrypted, and the like, and at this time, corresponding simulation verification data needs to be generated according to the service requirements of users, data preset constraint conditions, data interlayer level association and the like. Generally, according to the user requirement, the simulation data should be as follows: controllable data volume, sufficient randomness and maintenance of specific logic association relationship (including direct association or implicit association) among data.
It is good for people to eat. Whether in a real social setting or in a virtual social networking world, it is important to have a pleasing face. For example, common social tools usually have a beauty function, and a face of a user can show a makeup or funny effect through a preset beauty template. In the prior art, as the beauty template is adopted, when the face of a user moves, the beauty template cannot be well matched with the face of the user, so that an ideal makeup test effect cannot be achieved, and a reference basis for purchasing cosmetics in the real world is lacked. The applicant develops a series of technical schemes for achieving the makeup effect in the virtual world, and meanwhile, the technical schemes can be used as a reference basis for purchasing cosmetics in the real world, so that the user has more makeup choices, and the cost is saved. In order to facilitate the developers to use the data generated by simulation for testing such as pressure measurement, statistics, analysis, and the like, a technical scheme for generating the simulated real scene data is urgently needed.
Disclosure of Invention
Therefore, the method and the device for generating the simulated real scene data can simulate the makeup test experience of the user in the scene of the intelligent terminal AI physical makeup test store, randomly generate the experience data of each website in batches, and are beneficial for the developer to use the data generated by simulation to test pressure, statistics, analysis and the like.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: a method of simulating real scene data generation comprising the steps of: introducing the distribution weight of the user experience time period, and randomly obtaining start time data; generating a random number n, taking the random number n as experience duration, generating-end time data according to the start time data and the random number n, and taking the start time data and the end time data as a data group;
judging whether the data set has time conflict, a) outputting starting time data and ending time data without time conflict, b) outputting the starting time data and the ending time data after time conflict adjustment;
introducing an output result, randomly generating a piece of experience start-stop time contained in the basic data result according to the piece of basic data; introducing product data, randomly generating and outputting one piece of click data; and combining the experience start-stop time and the click data into n operation records at random.
As an optimal scheme of a method for simulating real scene data generation, random logic definition is carried out by adopting a mockjs method in the process of introducing the distribution weight of user experience time periods, so as to obtain experience time length distribution of users, and the experience time length distribution is added into dirty data.
As a preferred scheme of a method for simulating real scene data generation, introducing weight basic data and a weight calculation method to perform periodic probabilistic distribution on a user experience time period; the random logic definition comprises a random product operation rule, a user experience time random rule, a time period time random rule and an advertisement information playing rule; and distributing and producing advertisement playing records according to the user experience time period.
As a preferred scheme of a method for simulating real scene data generation, the range of the random number n is 1-100, and when n is 1, experience duration data of 120 s-240 s are generated; when n is less than or equal to 10, the experience time is 1 s; and when n is more than 10 and less than or equal to 100, generating experience duration data between 2s and 120 s.
As a preferred scheme of the method for simulating the generation of real scene data, the manner of judging whether the data set has time conflict or not is as follows: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
As a preferable scheme of the method of simulating the generation of real scene data, the basic data includes product basic data, advertisement basic data, weight basic data, and terminal basic data; the operation records comprise test operation record data, user experience duration record data and advertisement playing record data.
The embodiment of the invention also provides a device for simulating the generation of real scene data, which comprises:
the weight introducing module is used for introducing the distribution weight of the user experience time period and randomly obtaining start time data;
the random number generation module is used for generating a random number n and taking the random number n as the experience duration;
the data group generating module is used for generating-end time data according to the start time data and the random number n, and taking the start time data and the end time data as a data group;
a conflict judging and adjusting module, which is used for judging whether the data group has time conflict or not, a) the time conflict does not exist and the starting time data and the ending time data are output, and b) the starting time data and the ending time data are output after the time conflict is adjusted;
the experience starting and stopping time generation module is used for introducing an output result, and randomly generating experience starting and stopping time contained in the basic data result according to the basic data;
the click data generation module is used for introducing product data, randomly generating and outputting one piece of click data;
and the operation record generation module is used for randomly combining the experience start-stop time and the click data into n operation records.
As an optimal scheme of a device for simulating real scene data generation, random logic definition is carried out by adopting a mockjs method in the process of introducing the distribution weight of user experience time periods through a weight introduction module to obtain the experience time period distribution of users, the experience time period distribution is added into dirty data, and the random logic definition comprises a random product operation rule, a user experience time random rule, a time random rule of the time periods and an advertisement information playing rule.
As a preferred scheme of a device for simulating real scene data generation, a random number n in a random number generation module ranges from 1 to 100, and when n is 1, experience duration data in 120s to 240s are generated; when n is less than or equal to 10, the experience time is 1 s; and when n is more than 10 and less than or equal to 100, generating experience duration data between 2s and 120 s.
As an optimal scheme of a device for simulating real scene data generation, a method for judging whether time conflict exists in a data set in a conflict judgment and adjustment module is as follows: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
The embodiment of the invention has the following advantages: by self-defining random logic, firstly, the weight is used to obtain the experience duration distribution of the user, dirty data is added to increase the authenticity and unpredictability, the user experience starting time and the user experience ending time are simulated for each intelligent terminal in a circulating mode, the time is reasonable and no conflict is generated, the operation record of the user is generated according to the randomly generated user experience time and the existing product data, and the advertisement playing record is generated. The embodiment of the invention can perform data simulation on the makeup test experience of the user in the scene of the intelligent terminal AI physical makeup test store, randomly generate the experience data of each website in batches, and is beneficial to a developer to perform tests such as pressure test, statistics, analysis and the like by using the data generated by simulation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a schematic flow chart of a method for simulating real scene data generation according to an embodiment of the present invention;
fig. 2 is a technical idea diagram of a method for simulating real scene data generation according to an embodiment of the present invention;
FIG. 3 is a data architecture diagram of a method for simulating real scene data generation according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an apparatus for simulating real scene data generation according to an embodiment of the present invention;
fig. 5 is a flowchart of data generated by an apparatus for simulating real scene data generation according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, there is provided a method of simulating real scene data generation, comprising the steps of:
s1: introducing the distribution weight of the user experience time period, and randomly obtaining start time data; generating a random number n, taking the random number n as experience duration, generating-end time data according to the start time data and the random number n, and taking the start time data and the end time data as a data group;
s2: judging whether the data set has time conflict, a) outputting starting time data and ending time data without time conflict, b) outputting the starting time data and the ending time data after time conflict adjustment;
s3: introducing an output result, randomly generating a piece of experience start-stop time contained in the basic data result according to the piece of basic data; introducing product data, randomly generating and outputting one piece of click data; and combining the experience start-stop time and the click data into n operation records at random.
In one embodiment of the method for simulating the generation of the real scene data, random logic definition is performed by adopting a mockjs method in the process of introducing the distribution weight of the user experience time period, so as to obtain the experience time period distribution of the user, and the experience time period distribution is added into dirty data. In particular, dirty data means that data in the source system is not within a given range or meaningless for actual traffic, or the data format is illegal, and there is irregular coding and ambiguous traffic logic in the source system. In database technology, dirty data is generated in a temporary update (dirty read). Transaction A updates a certain data item X, but for some reason transaction A has a problem and is rolled back. Before rolling back, however, another transaction B reads the value of data item X (after A updates), A rolls back the transaction and the data item recovers its original value. Transaction B reads a "temporary" value, i.e., dirty data, for data item X.
Particularly, Mockjs (official web http:// Mockjs. com /) is a simulation data generator, and can help a front-end engineer to develop independently of a back end and write unit tests. Mockjs can generate simulation data according to a data template; simulating the Ajax request, and generating and returning simulation data; simulated data is generated based on the HTML template. Mockjs front and back are separated, allowing front end engineers to develop independently of the back end. The authenticity of unit test is increased, and a makeup trial scene is simulated through random data. Development is non-intrusive, existing codes do not need to be modified, Ajax requests can be intercepted, and simulated response data can be returned. The method is simple, the data types are rich, random texts, numbers, Boolean values, dates, mailboxes, links, pictures, colors and the like are supported to be generated, the expansion is convenient, more data types are supported to be expanded, and the user-defined function and the regular mode are supported.
Referring to fig. 2 and 3, in an embodiment of the method for simulating real scene data generation, the weight basic data and the weight calculation method are introduced to perform periodic probabilistic distribution on the user experience time period; the random logic definition comprises a random product operation rule, a user experience time random rule, a time period time random rule and an advertisement information playing rule; and distributing and producing advertisement playing records according to the user experience time period. The basic data comprises product basic data, advertisement basic data, weight basic data and terminal basic data; the operation records comprise test operation record data, user experience duration record data and advertisement playing record data. The range of the random number n is 1-100, and when n is 1, experience duration data of 120-240s are generated; when n is less than or equal to 10, the experience time is 1 s; and when n is more than 10 and less than or equal to 100, generating experience duration data between 2s and 120 s.
Specifically, the manner of determining whether the time conflict exists in the data group is as follows: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
Referring to fig. 4, an embodiment of the present invention further provides an apparatus for simulating generation of real scene data, including:
the weight introducing module 1 is used for introducing the distribution weight of the user experience time period and randomly obtaining start time data;
the random number generation module 2 is used for generating a random number n, and the random number n is used as the experience duration;
a data group generating module 3, configured to generate-end time data according to the start time data and a random number n, and use the start time data and the end time data as a data group;
a conflict judging and adjusting module 4, configured to judge whether a time conflict exists in the data set, a) output start time data and end time data without the time conflict, and b) output the start time data and the end time data after the time conflict adjustment exists;
an experience start-stop time generation module 5, configured to introduce an output result, and randomly generate, according to a piece of basic data, an experience start-stop time included in the basic data result;
the click data generation module 6 is used for introducing product data, randomly generating and outputting one piece of click data;
and the operation record generating module 7 is configured to combine the experience start-stop time and the click data into n operation records at random.
In one embodiment of the device for simulating real scene data generation, in the process of introducing the distribution weight of the user experience time period through the weight introduction module 1, random logic definition is performed by adopting a mockjs method to obtain the experience time period distribution of the user, the experience time period distribution is added into dirty data, and the random logic definition comprises a random product operation rule, a user experience time random rule, a time random rule of the time period and an advertisement information playing rule. The range of a random number n in the random number generation module 2 is 1-100, and when n is 1, experience duration data in 120-240s are generated; when n is less than or equal to 10, the experience time is 1 s; and when n is more than 10 and less than or equal to 100, generating experience duration data between 2s and 120 s. The judgment mode of whether the time conflict exists in the data group in the conflict judgment and adjustment module 4 is as follows: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
Referring to fig. 5, the technical scheme of the embodiment of the invention is applied to an intelligent makeup trial scene. Because the data under the intelligent makeup trying scene are very closely related, referring to the business logic under the real scene, the objective situation is that a shop of a family exists, each shop is respectively provided with a terminal device for intelligent makeup trying, when no one experiences the shop, the shop broadcasts advertisements in a large-screen mode, when a client enters the shop and starts to experience the intelligent device, the client can experience the effect that different color numbers of products such as lipstick, eye shadow, eyebrow pencil, blush and foundation laid in the shop present on the face of the client, and freely matches the products to help the client to find the most suitable product and color number, and when the client experiences the intelligent device, the broadcast advertisements can be scaled down in equal proportion and played in a small-window mode.
Then, the rule for designing the intelligent makeup trial experience data simulation generation system according to the technical solution of the embodiment of the present invention is as follows:
(1) data specifying which date starts is simulated, and the number m of smart devices are specified, and m device ids are selected from the device information based on m.
(2) Taking a device as an example, assuming that the number of users experiencing the intelligent device on the same day is in the range of 10-15, randomly acquiring an integer of 10-15 as the number c of experienced people of the device on the same day.
(3) When the number of experience persons c is available, the starting time and the ending time of each user experience are required, a random method js1 is generated by using Mockjs, a parameter starts is received by js1, different weights are set for the time periods of each day in the period of the week to define the distribution of the user experience time periods, after an experience starting time s is obtained, a number n of 1-100 is randomly generated, and when n is 1, the experience duration d of the user is determined to be 120-times 240 s; when n is less than or equal to 10, d is 1; else d is between 2 and 120s, and the experience end time e is obtained according to s and d. And judging whether the time period conflicts with the existing time period or not every time a group of start-stop time is generated, and if so, adjusting the time.
(4) Obtaining a c-group experience starting and stopping time period, taking a group of time periods as an example, randomly generating a value count of experience time length d + -4 as a product number c1 of the user experience, generating count product experience data by using a Mockjs self-defining method according to c1 and basic data of a product to form a list array, taking out time in the array and the user experience starting and stopping time to form an array atime, sequentially taking out time values a in the list array to be compared with values of the atime one by one, and selecting a value which is smaller than a and is closest to a to calculate the experience time length of the product.
(5) The advertisement playing data of the intelligent equipment depends on the user experience data, the intelligent equipment broadcasts the advertisements in turn when the intelligent equipment is started, and the playing state is changed when the playing of one advertisement is finished within the experience starting and ending time of the user.
The embodiment of the invention obtains the experience duration distribution of the user by using the weight and adds the dirty data to increase the authenticity and unpredictability through self-defined random logic, simulates the experience starting time and the experience ending time of the user for each intelligent terminal by using circulation, reasonably does not generate conflict in time, generates the operation record of the user according to the randomly generated user experience time and the existing product data, and generates the advertisement playing record. The embodiment of the invention can perform data simulation on the makeup test experience of the user in the scene of the intelligent terminal AI physical makeup test store, randomly generate the experience data of each website in batches, and is beneficial to a developer to perform tests such as pressure test, statistics, analysis and the like by using the data generated by simulation.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (5)
1. A method of simulating real scene data generation, comprising the steps of: introducing the distribution weight of the user experience time period, and randomly obtaining start time data; generating a random number n, generating experience duration d according to the random number n, generating end time data according to the start time data and the experience duration d, and taking the start time data and the end time data as a data group;
judging whether the data set has time conflict, a) outputting starting time data and ending time data without time conflict, b) outputting the starting time data and the ending time data after time conflict adjustment;
introducing an output result, and randomly generating an experience starting and ending time contained in a basic data result according to a basic data; introducing product data, and randomly generating and outputting a piece of click data; combining the experience start-stop time and the click data randomly into n' operation records;
in the process of introducing the distribution weight of the user experience time period, random logic definition is carried out by adopting a mockjs method to obtain the experience time length distribution of the user, and the experience time length distribution is added into dirty data;
the random logic definition comprises a random product operation rule, a user experience time random rule, a time period time random rule and an advertisement information playing rule; distributing and producing advertisement playing records according to user experience time periods;
the basic data comprises product basic data, advertisement basic data, weight basic data and terminal basic data; the operation records comprise makeup trial operation record data, user experience duration record data and advertisement playing record data.
2. The method as claimed in claim 1, wherein the weight basis data and weight calculation method are introduced to perform periodic probabilistic distribution of user experience time periods.
3. The method as claimed in claim 1, wherein the determination of whether the data set has time conflict is performed by: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
4. An apparatus for simulating real scene data generation, comprising:
the weight introducing module is used for introducing the distribution weight of the user experience time period and randomly obtaining start time data;
the random number generation module is used for generating a random number n and generating experience duration d according to the random number n;
the data group generating module is used for generating end time data according to the start time data and the experience duration d, and taking the start time data and the end time data as a data group;
a conflict judging and adjusting module, which is used for judging whether the data group has time conflict or not, a) the time conflict does not exist and the starting time data and the ending time data are output, and b) the starting time data and the ending time data are output after the time conflict is adjusted;
the experience starting and stopping time generation module is used for introducing an output result and randomly generating an experience starting and stopping time contained in a basic data result according to a basic data;
the click data generation module is used for introducing product data and randomly generating and outputting a piece of click data;
the operation record generation module is used for randomly combining the experience start-stop time and the click data into n' operation records;
in the process of introducing the distribution weight of the user experience time period through the weight introduction module, random logic definition is carried out by adopting a mockjs method to obtain the experience time period distribution of the user, the experience time period distribution is added into dirty data, and the random logic definition comprises a random product operation rule, a user experience time random rule, a time random rule of the time period and an advertisement information playing rule; distributing and producing advertisement playing records according to user experience time periods;
the basic data comprises product basic data, advertisement basic data, weight basic data and terminal basic data; the operation records comprise makeup trial operation record data, user experience duration record data and advertisement playing record data.
5. The apparatus as claimed in claim 4, wherein the conflict determination module determines whether there is a time conflict in the data set by: every time a time period range of the start time data and the end time data is newly generated, comparing the time period range with the time period ranges of the start time data and the end time data which are generated, and judging whether the time conflict exists if the time conflict exists, and judging whether the time conflict does not exist if the time conflict exists.
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