CN110991156B - Automatic report generation method based on ship numerical virtual test - Google Patents
Automatic report generation method based on ship numerical virtual test Download PDFInfo
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Abstract
The invention relates to an automatic report generation method based on a ship numerical virtual test. The invention mainly comprises the following steps: frame design, data processing, post-processing, data replacement, and frame integration. According to the report automatic generation method based on the ship numerical value virtual test, json files or related data files generated during the virtual test of the webpage can be intelligently extracted, and the json files or related data files are automatically converted into corresponding images, forms and texts, so that a test report is generated. The method for automatically generating the test report not only can accurately express the relation between data, but also can show various test results. The test result has better universality and consistency, and the efficiency of generating the test report is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an automatic report generation method based on a ship numerical virtual test.
Background
How to effectively find rules from test data, find hidden information in the test, assist test personnel to make accurate analysis is a very important ring in the field of data processing. With the development of information technology and the arrival of the 'Internet+' age, a large amount of project data, words, pictures, videos and the like are accumulated in the field of company development, especially equipment manufacturing industry and project management, and how to effectively analyze and process the data, so that the work business requirements of governments or enterprises are better met, the daily management, intelligent analysis and even decision-making assistance functions are provided for the data, the 'information island' problem is solved, and therefore, efficient collaborative work is realized, and the data processing system has higher academic value and application scene.
The numerical pool is a technology for simulating fluid flow by a computer, solving a fluid motion equation and simulating the motion and stress of a marine structure, and can realize three types of simulated fluid flow including Reynolds average numerical simulation, large vortex simulation, direct numerical simulation and the like. The device can not only realize the functions of a towing tank, a cavitation water hole, a wave-resistant tank, a maneuvering tank and a wind wave water flowing tank for ocean engineering for ship tests, but also reveal the reasons of fluid flow phenomenon, and the fine observation of a flow field is far superior to that of a physical tank.
Along with the continuous increase of numerical pool tests, test data of each test are huge, and the construction of a centralized report generating system with high reliability and high availability is a step of mining out the hidden key information in the complicated data. Therefore, a method capable of unifying virtual tests and automatic generation of test reports is provided, which is a problem to be solved urgently.
Disclosure of Invention
The invention provides an automatic report generation method based on a ship numerical virtual test for solving the problems of multiple and irregular ship numerical virtual test data and improving the accuracy and efficiency of the test report, and provides the following technical scheme:
a report automatic generation method based on a ship numerical virtual test comprises the following steps:
step 1: a design framework which is formed by combining a single-case mode and a factory mode;
step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
step 3: post-processing the integrated data to generate images, tables and texts required in the report;
step 4: replacing the image, the table and the text in the report by using special marks, wherein the special marks are positioned in paragraphs or the table, and the catalogue is updated;
step 5: and integrating the designed framework with the front-end webpage to finish the generation of the test report.
Preferably, the step 1 specifically includes:
step 1.1: according to the test requirements, writing test templates corresponding to different test reports, inserting required position information into the templates, and setting marks;
step 1.2: adopting an abstract factory method in a factory mode, changing test templates into abstract classes, packaging common parts in the abstract classes, and realizing different test templates by using subclasses;
step 1.3: the code is changed to generate corresponding test reports aiming at different tests, a single-case mode is adopted when the reports of the different tests are generated, the operation of the module is ensured to be performed in the same object when the subsequent module is operated, the stability and expansibility of the program are ensured, and the frame design is completed.
Preferably, the step 2 specifically includes:
step 2.1: performing virtual tests on the web pages, storing the generated related data files in a queue for management and storing in an ArrayList, and reading one by one;
step 2.2: and integrating and processing the extracted effective data according to different requirements of each test, wherein the effective data comprises single data, data in a filling table, abscissa data and ordinate data of a picture, and data for generating a cloud picture and a grid picture.
Preferably, the integration and processing of the valid data is specifically:
when the integration and the processing of the single data type are carried out, the single data are inserted into the experimental report template, only the data which need to be used are extracted when the single data are encountered again, and a HashMap mapping relation is established with the marks corresponding to the template;
when data is made into a single form, the data of the single form is put into a matrix and prepared for subsequent post-processing work;
when the data of a single picture is produced, the data of the single picture comprises a line graph and a scatter graph, the line graph and the scatter graph are formed in a group in a coordinate form, and the data of the single picture are extracted in groups for arrangement;
making complex data such as cloud pictures, grid pictures and the like, and when encountering the data, selecting useful parts according to different requirements of each experiment, extracting and storing the useful parts into json files, so as to prepare for subsequent post-processing;
when the data is mixed data, a plurality of pictures or tables are manufactured, the mixed data is grouped according to the test requirement, and the grouped data is arranged for preparation for subsequent processing.
Preferably, the step 3 specifically includes:
step 3.1: processing the integrated data into a 3D cloud picture, a grid division picture, a bar graph and a line graph required in a report through a PostProcess3D, tecplot, java interface;
step 3.2: and finding data corresponding to the template mark in different xml configuration files corresponding to each test, and establishing a HashMap mapping relation.
Preferably, the establishing the HashMap mapping relationship specifically includes:
when a single chart is processed, the chart comprises a line graph and a scatter graph, pictures are manufactured through Java interfaces and stored, and HashMap mapping relation is established between the pictures and corresponding template marks;
when a single picture is processed, establishing a PostProcess3D and Tecplot script for the integrated data, generating and storing the picture, and establishing a HashMap mapping relation between the picture and a template mark;
when a plurality of pictures are processed, all the pictures are manufactured and stored, all the pictures are stored in a set, and then the HashMap mapping relation is established between the set and the template mark.
Preferably, the step 4 specifically includes:
step 4.1: replacing the special mark in the parsed json file, wherein the special mark is the mark inserted in the test report in the frame design,
when single data or pictures are replaced, replacing the marks at the marks of the templates with data or pictures which form a mapping relation with the marks during data processing;
when the table is replaced, a background insertion table function is called, a corresponding table is inserted in a special mark position marked as an insertion table, and the format of the table is regular or irregular;
step 4.2: when a plurality of pictures are inserted into a mark, the pictures are sequentially inserted into the front of the mark according to the sequence of the set of the pictures generated in the post-processing stage, a function is called between the two pictures, the legends of the pictures are inserted, and the mark is deleted after completion;
updating the catalogue to finish the generation work of the test report; when the table is marked as '1' along with the corresponding template, the '1' mark in the template is replaced by the manufactured table, and data replacement is completed.
Preferably, the insertion marking process is specifically: when single data or pictures are replaced, replacing the marks at the marks of the templates with data or pictures which form a mapping relation with the marks during data processing;
when a table is replaced, a background insert table function is called, a corresponding table is inserted in a special mark position marked as an insert table, and the format of the table is regular or irregular.
Preferably, the step 5 specifically includes:
and integrating the designed framework with the front-end webpage, adopting a maven project model to package the completed data into jar files, integrating the jar files into a server, providing an interface for the whole project, enabling the test and test generation report framework to form a unified whole, and completing the generation of the test report.
The invention has the following beneficial effects:
the test report automatic generation method provided by the invention can be combined with the virtual test into a unified whole. The report automatic generation method based on the ship numerical virtual test can better display a large amount of complicated data generated by the test, better express the hidden content in the test, help test staff understand the test effect more quickly and conveniently, and improve the efficiency of manually making the report in the past.
Drawings
FIG. 1 is a flow chart of a method for automatically generating reports based on a ship numerical virtual test;
FIG. 2 is a flow chart of data processing and post-processing;
fig. 3 is a data replacement flow chart.
Detailed Description
The present invention will be described in detail with reference to specific examples.
First embodiment:
according to the invention, as shown in fig. 1, the invention provides an automatic report generating method based on a ship numerical virtual test, which comprises the following steps:
step 1: a design framework which is formed by combining a single-case mode and a factory mode;
firstly, designing corresponding templates according to test requirements, setting marks at positions where data or charts need to be inserted, then summarizing features shared by all the test templates, packaging the features in abstract classes, realizing the single-instance mode by using an enumeration method, specifically, assigning a unique index to each different template, creating and only creating the test templates once when receiving the index, and ensuring the accuracy and uniqueness of template creation. Meanwhile, the method adds multiple threads into the framework, so that a plurality of templates can be created at the same time, each template can only be created in a unique mode, the generating efficiency of the test template is improved, and the stability and the expandability of a program are also improved.
Step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
and after the ship virtual test is finished, a large number of data files are generated, wherein the data with regular formats and the data with irregular formats are stored in a queue for management according to different rules provided by each test, the generated data files are read one by one, and the extracted effective data are integrated and processed according to different requirements of the test, and the effective data comprise single data, data in a filling table, the abscissa data of a picture and data for generating a cloud picture and a grid picture, so that the use of a subsequent processing stage is convenient. The processed data are divided into five types, the first type is single data type, the data only need to be inserted into an experimental report template, when encountering the data, only need to extract the data which need to be used, and then the HashMap mapping relation is established between the data and the mark corresponding to the template; the second type is data that needs to be made into a single table, and when such data is encountered, it is put into a matrix in preparation for subsequent post-processing work. For example, the text received is "ship a, length a1 meter, width a2 meters, draft a3 meters; boat B, length B1 meter, width B2 meters, draft B3 meters; ship C, with length C1 meter, width C2 meters, draft C3 meters ", will need to extract the numbers from it and put it into a matrix of 3 rows and 4 columns; the third type of data is data for making a single picture, such as a line graph, a scatter graph and the like, most of the data are in groups in a coordinate form, and when the data are encountered, the data are required to be extracted and arranged in groups. The fourth type of data is complex data such as cloud pictures, grid pictures and the like, and when the complex data is met, useful parts are selected according to different requirements of each experiment and extracted and stored in json files, so that preparation is made for subsequent post-processing. The last type of data is mixed data, a plurality of pictures or tables are needed to be made for the data, the data are required to be grouped according to test requirements when the data are encountered, and the grouped data are arranged for preparation for subsequent processing.
Step 3: post-processing the integrated data to generate images, tables and texts required in the report;
because the test method and purpose adopted by each test are different, the test party can give out different configuration files and corresponding execution script files according to actual needs, the method changes rule data after data processing into cloud pictures, bar charts, line charts, tables and the like required by the test through a PostProcess3D, tecplot, java interface, can express rule data of test results, establishes a one-to-one corresponding KV system according to the configuration files, namely establishes a HashMap mapping relation, and prepares for the following data replacement work. Three situations occur at this stage, the first being to process a single simple chart, such as a line graph, a scatter graph, etc. At the moment, simple pictures are manufactured and stored through Java interfaces, and then HashMap mapping relation is established between the pictures and corresponding template marks; the second case is to process complex pictures, when processing such data, the last integrated data is built into a PostProcess3D, tecplot script, so that the required complex pictures are generated and stored, and then a mapping relation corresponding to the template mark is built. The last case is a case of processing a plurality of pictures, where all the pictures need to be made and stored, then the pictures are stored in a set, and then the set and the mark are mapped.
Step 4: replacing the image, the table and the text in the report by using special marks, wherein the special marks are positioned in paragraphs or the table, and the catalogue is updated;
the invention relates to text, chart replacement and picture insertion. And when the text is replaced, replacing the special mark in the parsed json file with the corresponding content, wherein the special mark is positioned in a paragraph or a table. This stage again encounters several conditions: the first is the simplest replacement of single data or pictures, and only the mark is replaced by the data which forms a mapping relation with the mark when the data is processed at the mark of the template. The second case is that a table needs to be replaced, when the table is replaced, a background insertion table function is called, and a corresponding table is inserted in a special mark position marked as an insertion table, wherein the format of the table can be regular or irregular. The third case is that a plurality of pictures are required to be inserted into a mark, at this time, the pictures are required to be sequentially inserted into the front of the mark according to the sequence of the set of pictures generated in the post-processing stage, a function is called between the two pictures, the legend of the picture is inserted, and the mark is deleted after completion. And finally updating the catalogue to finish the generation work of the test report. Next, in the above example, assuming that the table is marked with the corresponding template as "_1", the "_1" mark in the template is found to be replaced with the created table, and the data replacement is completed.
Step 5: and integrating the designed framework with the front-end webpage to finish the generation of the test report.
In order to facilitate the operation of testers, the invention packages the completed codes into jar files by using a maven project model, integrates the jar files into a server, provides interfaces for the whole project, solves the conflict and the dependence of jar packages, and enables the test and test generation report framework to form a unified whole; and also makes the construction of this part clearer.
The above description is only a preferred embodiment of the report automatic generation method based on the ship numerical virtual test, and the protection scope of the report automatic generation method based on the ship numerical virtual test is not limited to the above examples, and all technical solutions under the concept belong to the protection scope of the present invention. It should be noted that modifications and variations can be made by those skilled in the art without departing from the principles of the present invention, which is also considered to be within the scope of the present invention.
Claims (6)
1. A report automatic generation method based on a ship numerical virtual test is characterized by comprising the following steps: the method comprises the following steps:
step 1: a design framework which is formed by combining a single-case mode and a factory mode;
the step 1 specifically comprises the following steps:
step 1.1: according to the test requirements, writing test templates corresponding to different test reports, inserting required position information into the templates, and setting marks;
step 1.2: adopting an abstract factory method in a factory mode, changing test templates into abstract classes, packaging common parts in the abstract classes, and realizing different test templates by using subclasses;
step 1.3: the code is changed to generate corresponding test reports aiming at different tests, a single-case mode is adopted when the reports of the different tests are generated, so that the operation of the module is ensured to be performed in the same object when the subsequent operation of the module is performed, the stability and expansibility of the program are ensured, and the frame design is completed;
step 2: extracting text data generated by a virtual experiment, and storing and integrating the extracted data;
the step 2 specifically comprises the following steps:
step 2.1: performing virtual tests on the web pages, storing the generated related data files in a queue for management and storing in an ArrayList, and reading one by one;
step 2.2: integrating and processing the extracted effective data according to different requirements of each test, wherein the effective data comprises single data, data in a filling table, abscissa data and ordinate data of a picture, and data for generating a cloud picture and a grid picture;
step 3: post-processing the integrated data to generate images, tables and texts required in the report;
the step 3 specifically comprises the following steps:
step 3.1: processing the integrated data into a 3D cloud picture, a grid division picture, a bar graph and a line graph required in a report through a PostProcess3D, tecplot, java interface;
step 3.2: finding data corresponding to the template mark in different xml configuration files corresponding to each test, and establishing a HashMap mapping relation;
step 4: replacing the image, the table and the text in the report by using special marks, wherein the special marks are positioned in paragraphs or the table, and the catalogue is updated;
step 5: and integrating the designed framework with the front-end webpage to finish the generation of the test report.
2. The automatic report generating method based on the ship numerical virtual test according to claim 1, wherein the method comprises the following steps: the integration and processing of the effective data is specifically as follows:
when the integration and the processing of the single data type are carried out, the single data are inserted into the experimental report template, only the data which need to be used are extracted when the single data are encountered again, and a HashMap mapping relation is established with the marks corresponding to the template;
when data is made into a single form, the data of the single form is put into a matrix and prepared for subsequent post-processing work;
when the data of a single picture is produced, the data of the single picture comprises a line graph and a scatter graph, the line graph and the scatter graph are formed in a group in a coordinate form, and the data of the single picture are extracted in groups for arrangement;
making complex data such as cloud pictures, grid pictures and the like, and when encountering the data, selecting useful parts according to different requirements of each experiment, extracting and storing the useful parts into json files, so as to prepare for subsequent post-processing;
when the data is mixed data, a plurality of pictures or tables are manufactured, the mixed data is grouped according to the test requirement, and the grouped data is arranged for preparation for subsequent processing.
3. The automatic report generating method based on the ship numerical virtual test according to claim 1, wherein the method comprises the following steps: the establishment of the HashMap mapping relation specifically comprises the following steps:
when a single chart is processed, the chart comprises a line graph and a scatter graph, pictures are manufactured through Java interfaces and stored, and HashMap mapping relation is established between the pictures and corresponding template marks;
when a single picture is processed, establishing a PostProcess3D and Tecplot script for the integrated data, generating and storing the picture, and establishing a HashMap mapping relation between the picture and a template mark;
when a plurality of pictures are processed, all the pictures are manufactured and stored, all the pictures are stored in a set, and then the HashMap mapping relation is established between the set and the template mark.
4. The automatic report generating method based on the ship numerical virtual test according to claim 1, wherein the method comprises the following steps: the step 4 specifically comprises the following steps:
step 4.1: replacing the special mark in the parsed json file, wherein the special mark is the mark inserted in the test report in the frame design,
when single data or pictures are replaced, replacing the marks at the marks of the templates with data or pictures which form a mapping relation with the marks during data processing;
when the table is replaced, a background insertion table function is called, a corresponding table is inserted in a special mark position marked as an insertion table, and the format of the table is regular or irregular;
step 4.2: when a plurality of pictures are inserted into a mark, the pictures are sequentially inserted into the front of the mark according to the sequence of the set of the pictures generated in the post-processing stage, a function is called between the two pictures, the legends of the pictures are inserted, and the mark is deleted after completion;
updating the catalogue to finish the generation work of the test report; when the table is marked as '1' along with the corresponding template, the '1' mark in the template is replaced by the manufactured table, and data replacement is completed.
5. The automatic report generating method based on the ship numerical virtual test according to claim 4, wherein the method comprises the following steps:
the insertion marking process specifically comprises the following steps: when single data or pictures are replaced, replacing the marks at the marks of the templates with data or pictures which form a mapping relation with the marks during data processing;
when a table is replaced, a background insert table function is called, a corresponding table is inserted in a special mark position marked as an insert table, and the format of the table is regular or irregular.
6. The automatic report generating method based on the ship numerical virtual test according to claim 1, wherein the method comprises the following steps: the step 5 specifically comprises the following steps:
and integrating the designed framework with the front-end webpage, adopting a maven project model to package the completed data into jar files, integrating the jar files into a server, providing an interface for the whole project, enabling the test and test generation report framework to form a unified whole, and completing the generation of the test report.
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