CN115328855B - Method and device for evaluating file reduction degree, storage medium and equipment - Google Patents
Method and device for evaluating file reduction degree, storage medium and equipment Download PDFInfo
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- CN115328855B CN115328855B CN202211265059.4A CN202211265059A CN115328855B CN 115328855 B CN115328855 B CN 115328855B CN 202211265059 A CN202211265059 A CN 202211265059A CN 115328855 B CN115328855 B CN 115328855B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1415—Saving, restoring, recovering or retrying at system level
- G06F11/1435—Saving, restoring, recovering or retrying at system level using file system or storage system metadata
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
Abstract
The application discloses a method, a device, a storage medium and equipment for evaluating file reduction degree, wherein the method comprises the following steps: acquiring a plurality of sketch files sent by a front end; creating a task corresponding to each sketch file; distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node according to the preset steps; rendering the mg file shown by the execution result sent by each agent node to obtain a second layer image of each task; and obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task. According to the method, the recovery degree of the sketch file can be obtained only by uploading the sketch file by a user, the image comparison process and the file importing process do not need to be manually participated, the time cost and the labor cost are reduced, and the evaluation efficiency of the file recovery capability is effectively improved.
Description
Technical Field
The present application relates to the field of file testing, and in particular, to a method and an apparatus for evaluating a file restoration degree, a storage medium, and a device.
Background
The Mastergo application software is an existing product design tool, and has a function of viewing files (sketched as Sketch files) made by Sketch application software, namely the Mastergo application software has the capability of restoring Sketch files. In order to evaluate the file reduction capability of the Mastergo application software (i.e., the difference between the image obtained by rendering the Sketch file by the Mastergo application software and the image obtained by rendering the Sketch file by the Sketch application software), a large number of Sketch files need to be respectively imported into the Mastergo application software and the Sketch application software manually, and whether the results obtained by respectively rendering the same Sketch file by the Mastergo application software and the Sketch application software are consistent or not is compared from a visual angle manually, so that the evaluation process of the file reduction capability of the Mastergo application software is realized.
The method is limited by manpower factors and test scenes of massive sketch files, and the existing file comparison mode needs to spend more time and cost, so that the evaluation efficiency of the file restoration capability of Mastergo application software is reduced.
Disclosure of Invention
The application provides a method, a device, a storage medium and equipment for evaluating the file reduction degree, and aims to improve the evaluation efficiency of the file reduction capability of Mastergo application software.
In order to achieve the above object, the present application provides the following technical solutions:
a method for evaluating file reduction degree comprises the following steps:
acquiring a plurality of sketch files sent by a front end;
creating a task corresponding to each sketch file;
distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node per se according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; generating an execution result of the task based on the first image layer image and the mg file;
rendering the mg file shown by the execution result sent by each agent node to obtain a second layer image of each task;
and obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task.
Optionally, after the task corresponding to each sketch file is created, the creating further includes:
and setting the state of each task to be executed, and recording the state of each task into a preset task state table.
Optionally, after the rendering is performed on the mg file shown by the execution result sent by each proxy node to obtain the second layer image of each task, the method further includes:
and updating the state of the task recorded in a preset task state table to render completion after determining to obtain a second layer image of the task for each task.
Optionally, the obtaining, based on a first layer image and a second layer image belonging to the same task, a reduction degree of a sketch file corresponding to each task includes:
storing each sketch file sent by the front end into different storage paths in advance;
storing a first layer image and a second layer image belonging to the same task into a storage path of a sketch file corresponding to the task;
sequentially calculating the structural similarity index between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large;
and identifying the structural similarity index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
Optionally, after obtaining the restoration degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task, the method further includes:
constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file;
and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
Optionally, after constructing a reduction degree comparison report based on the file name of each sketch file and the reduction degree of each sketch file, the method further includes:
and for each task, after the reduction degree of the sketch file corresponding to the task is determined and is included in the reduction degree comparison report, updating the state of the task recorded in a preset task state table to be completely compared.
An evaluation apparatus of a degree of restoration of a document, comprising:
the file acquisition unit is used for acquiring a plurality of sketch files sent by the front end;
a task creating unit, configured to create a task corresponding to each sketch file;
the task execution unit is used for distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node per se according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; generating an execution result of the task based on the first image layer image and the mg file;
the file rendering unit is used for rendering the mg file shown by the execution result sent by each proxy node to obtain a second layer image of each task;
and the reduction degree calculation unit is used for obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task.
Optionally, the method further includes:
a report display unit for: constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file; and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
A computer-readable storage medium including a stored program, wherein the program, when executed by a processor, performs the method for evaluating a degree of file restoration.
An evaluation apparatus of a degree of restoration of a document, comprising: a processor, memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the evaluation method of the file reduction degree when being executed by the processor.
According to the technical scheme, a plurality of sketch files sent by the front end are obtained, and a task corresponding to each sketch file is created. And distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node according to the preset steps. And rendering the mg file shown by the execution result sent by each agent node to obtain a second layer image of each task. And obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task. According to the method and the device, only the sketch file is uploaded by a user, the reduction degree of the sketch file can be obtained, the image comparison process and the file importing process do not need to be participated manually, time cost and labor cost are reduced, and the evaluation efficiency of the file reduction capability of Mastergo application software is effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for evaluating a file reduction degree according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of another method for evaluating a file reduction degree according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for evaluating a file restoration degree according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
As shown in fig. 1, a schematic flow chart of the method for evaluating the file reduction degree provided in the embodiment of the present application may be applied to a backend, and includes the following steps.
S101: and receiving a test file packet sent by the front end, and storing a plurality of sketch files shown by the test file packet into different storage paths.
The test file package comprises the sketch files uploaded by the user in batch and the file name of each sketch file. Specifically, a user can upload a plurality of sketch files in batch through a task management webpage, and the task management webpage is a concrete representation form of the front end.
It should be noted that after receiving a plurality of sketch files uploaded by a user in batch, the front end may call a preset data transmission interface, and send a test file package constructed based on each sketch file to the back end.
S102: a task corresponding to each sketch file is created.
The specific implementation process of task creation is common knowledge familiar to those skilled in the art, and is not described herein again.
Optionally, after the task corresponding to each sketch file is created, the state of each task may be recorded in a preset task state table, so that a user can conveniently query the progress of the reduction degree evaluation process of each sketch file.
S103: and distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node according to the preset steps.
The predetermined cluster includes, but is not limited to, a macos computer cluster (i.e., a computer cluster running a macos operating system). Generally speaking, each agent node in the preset cluster will periodically access the backend and obtain one or more tasks from the backend. Specifically, a load balancer can be called to distribute each task to each agent node in a balanced manner, so that load workload of each agent node is balanced, and individual tasks are prevented from being processed in time.
In the embodiment of the present application, the presetting step includes: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file (in practical application, the mg file is a file which can be directly run by Mastergo application software); and generating an execution result of the task based on the first image layer image and the mg file.
It should be noted that the proxy node may specifically call a preset command line tool (e.g., a sketch tool), and analyze a sketch file corresponding to the task to obtain the first layer image. In addition, each agent node may run a background process pre-deployed by itself to perform the above mentioned preset steps.
Specifically, for an agent node running a macos operating system, a process of deploying a background process in the agent node may specifically be: pre-packing a preset node file (namely, a node.js file) into an executable file; creating a preset installation program (i.e., a dmg file); and running an installation program to enable the executable file to be registered as a background self-starting process of the macos operating system through an attribute table file (plist).
S104: and rendering the mg file shown by the execution result sent by each proxy node to obtain a second layer image of each task.
Optionally, for each task, after the second layer image of the task is determined, the state of the task recorded in the preset task state table is updated to render completion, so as to record the progress of the recovery degree evaluation process of the sketch file corresponding to the task.
S105: and storing the first layer image and the second layer image belonging to the same task into a storage path of a sketch file corresponding to the task.
The first layer image and the second layer image belonging to the same task are stored in the storage path of the sketch file corresponding to the task, and a subsequent user can conveniently look up the first layer image and the second layer image related to the same sketch file.
S106: and sequentially calculating the Structural Similarity (SSIM) indexes between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large.
The specific calculation process of the SSIM index between the first layer image and the second layer image may be shown in formula (1).
In the formula (1), the first and second groups,
represents the image of the first image layer,
represents the image of the second image layer,
represents
Is determined by the average value of (a) of (b),
represents
Is determined by the average value of (a) of (b),
represent
The variance of (a) is determined,
represents
The variance of (a) is determined,
represents
And
the covariance of (a) of (b),
，
and is and
and
all represent preset constants, L represents pixel values,
and
representing a preset coefficient. Generally, the value range of the structural similarity index is [ -1,1]That is, when the first layer image and the second layer image are the same, the value of SSIM is equal to 1.
As an implementation of the structural similarity theory, the structural similarity index defines structural information from the perspective of image composition as being independent of brightness and contrast, reflects attributes of structures of objects in a scene, and models distortion as a combination of three different factors of brightness, contrast, and structure. The mean is used as an estimate of the luminance, the standard deviation as an estimate of the contrast, and the covariance as a measure of the degree of structural similarity.
S107: and identifying the SSIM index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
The SSIM index is used as the reduction degree of the sketch file, and is more objective and accurate compared with the reduction degree obtained through visual comparison manually.
S108: and constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file.
And establishing a reduction degree comparison report based on the file name of each sketch file and the reduction degree of each sketch file, and storing the reduction degree comparison report into a preset database so as to be convenient for a subsequent user to look up at any time.
Optionally, for each task, after determining the reduction degree of the sketch file corresponding to the task and incorporating the reduction degree into the reduction degree comparison report, updating the state of the task recorded in the preset task state table to completion of comparison so as to record the progress of the reduction degree evaluation process of the sketch file corresponding to the task.
S109: and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
Based on the reduction ratio comparison report, the user can clearly know the file reduction capability of the Mastergo application software, so that the evaluation of the file reduction capability of the Mastergo application software is realized.
In summary, in the embodiment, only the sketch file needs to be uploaded by the user, the reduction degree of the sketch file can be obtained, the image comparison process and the file importing process do not need to be manually participated, the time cost and the labor cost are reduced, and the evaluation efficiency of the file reduction capability of the Mastergo application software is effectively improved.
It should be noted that, in the above embodiment, the reference S101 is an optional implementation manner of the method for evaluating the file restoration degree shown in the embodiment of the present application. In addition, S109 mentioned in the above embodiment is also an optional implementation manner of the method for evaluating the file reduction degree shown in the embodiment of the present application. For this reason, the flow mentioned in the above embodiment can be summarized as the method described in fig. 2.
As shown in fig. 2, a schematic flow chart of another method for evaluating a file reduction degree provided in the embodiment of the present application includes the following steps.
S201: and acquiring a plurality of sketch files sent by the front end.
S202: a task corresponding to each sketch file is created.
S203: and distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node according to the preset steps.
Wherein, predetermine the step and include: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; and generating an execution result of the task based on the first image layer image and the mg file.
S204: and rendering the mg file shown by the execution result sent by each proxy node to obtain a second layer image of each task.
S205: and obtaining the restoration degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task.
In summary, in the embodiment, only the sketch file needs to be uploaded by the user, the reduction degree of the sketch file can be obtained, the image comparison process and the file importing process do not need to be manually participated, the time cost and the labor cost are reduced, and the evaluation efficiency of the file reduction capability of the Mastergo application software is effectively improved.
Corresponding to the method for evaluating the file reduction degree provided by the embodiment of the application, the embodiment of the application also provides a device for evaluating the file reduction degree.
As shown in fig. 3, an architecture diagram of an apparatus for evaluating a file restoration degree provided in the embodiment of the present application includes the following units.
A file obtaining unit 100, configured to obtain multiple sketch files sent by a front end.
A task creating unit 200 for creating a task corresponding to each sketch file.
Optionally, the task creating unit 200 is further configured to: and setting the state of each task to be executed, and recording the state of each task into a preset task state table.
The task execution unit 300 is configured to distribute each task to each agent node in a preset cluster, so that each agent node executes the task obtained by the agent node according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; and generating an execution result of the task based on the first image layer image and the mg file.
And a file rendering unit 400, configured to render the mg file shown in the execution result sent by each proxy node, so as to obtain a second layer image of each task.
Optionally, the file rendering unit 400 is further configured to: and for each task, after determining to obtain a second layer image of the task, updating the state of the task recorded in a preset task state table to render completion.
And a reduction degree calculation unit 500, configured to obtain a reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task.
Optionally, the reduction degree calculating unit 500 is specifically configured to: storing each sketch file sent by a front end into different storage paths in advance; storing a first layer image and a second layer image belonging to the same task into a storage path of a sketch file corresponding to the task; sequentially calculating the structural similarity index between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large; and identifying the structural similarity index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
A report display unit 600, configured to: constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file; and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
Optionally, the report display unit 600 is further configured to: and for each task, after the reduction degree of the sketch file corresponding to the task is determined and is included in the reduction degree comparison report, updating the state of the task recorded in the preset task state table to be the completion of the comparison.
In conclusion, in the embodiment, only the sketch file needs to be uploaded by the user, the restoring degree of the sketch file can be obtained, the image comparison process and the file importing process do not need to be manually participated, the time cost and the labor cost are reduced, and the evaluation efficiency of the file restoring capability of the Mastergo application software is effectively improved.
The application also provides a computer readable storage medium, which comprises a stored program, wherein the program executes the evaluation method for file reduction degree provided by the application.
The application also provides an evaluation device for file restoration degree, which comprises: a processor, a memory, and a bus. The processor is connected with the memory through a bus, the memory is used for storing programs, and the processor is used for running the programs, wherein when the programs run, the evaluation method for the file reduction degree provided by the application comprises the following steps:
acquiring a plurality of sketch files sent by a front end;
creating a task corresponding to each sketch file;
distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node per se according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; generating an execution result of the task based on the first image layer image and the mg file;
rendering the mg file shown by the execution result sent by each agent node to obtain a second layer image of each task;
and obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task.
Specifically, on the basis of the above embodiment, after the creating a task corresponding to each sketch file, the method further includes:
and setting the state of each task to be executed, and recording the state of each task into a preset task state table.
Specifically, on the basis of the above embodiment, after the rendering is performed on the mg file shown by the execution result sent by each proxy node to obtain the second layer image of each task, the method further includes:
and for each task, after determining to obtain a second layer image of the task, updating the state of the task recorded in a preset task state table to render completion.
Specifically, on the basis of the above embodiment, the obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task includes:
storing each sketch file sent by the front end into different storage paths in advance;
storing a first layer image and a second layer image belonging to the same task into a storage path of a sketch file corresponding to the task;
sequentially calculating the structural similarity index between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large;
and identifying the structural similarity index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
Specifically, on the basis of the above embodiment, after obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task, the method further includes:
constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file;
and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
Specifically, on the basis of the above embodiment, after constructing the reduction degree comparison report based on the file name of each sketch file and the reduction degree of each sketch file, the method further includes:
and for each task, after the reduction degree of the sketch file corresponding to the task is determined and is included in the reduction degree comparison report, updating the state of the task recorded in a preset task state table to be completely compared.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A method for evaluating the file reduction degree is characterized by comprising the following steps:
acquiring a plurality of sketch files sent by a front end;
creating a task corresponding to each sketch file;
distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node per se according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; generating an execution result of the task based on the first image layer image and the mg file;
rendering the mg file shown by the execution result sent by each agent node to obtain a second layer image of each task;
storing each sketch file sent by the front end into different storage paths in advance;
storing a first layer image and a second layer image belonging to the same task into a storage path of a sketch file corresponding to the task;
sequentially calculating the structural similarity index between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large;
and identifying the structural similarity index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
2. The method of claim 1, wherein after the creating the task corresponding to each of the sketch files, further comprising:
and setting the state of each task to be executed, and recording the state of each task into a preset task state table.
3. The method according to claim 1, wherein after the rendering the mg file shown by the execution result sent by each of the agent nodes to obtain the second layer image of each of the tasks, the method further includes:
and updating the state of the task recorded in a preset task state table to render completion after determining to obtain a second layer image of the task for each task.
4. The method according to claim 1, wherein after obtaining the reduction degree of the sketch file corresponding to each task based on the first layer image and the second layer image belonging to the same task, the method further comprises:
constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file;
and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
5. The method according to claim 4, wherein after the constructing a reduction degree comparison report based on the file name of each sketch file and the reduction degree of each sketch file, further comprises:
and for each task, after the reduction degree of the sketch file corresponding to the task is determined and is included in the reduction degree comparison report, updating the state of the task recorded in a preset task state table to be completely compared.
6. An apparatus for evaluating a degree of restoration of a document, comprising:
the file acquisition unit is used for acquiring a plurality of sketch files sent by the front end;
a task creating unit, configured to create a task corresponding to each sketch file;
the task execution unit is used for distributing each task to each agent node in a preset cluster so that each agent node executes the task obtained by the agent node per se according to preset steps; the presetting step comprises the following steps: analyzing the sketch file corresponding to the task to obtain a first layer image; carrying out format conversion on the sketch file corresponding to the task to obtain a mg file; generating an execution result of the task based on the first image layer image and the mg file;
the file rendering unit is used for rendering the mg file shown by the execution result sent by each proxy node to obtain a second layer image of each task;
the restoring degree calculating unit is used for obtaining the restoring degree of the sketch file corresponding to each task based on a first layer image and a second layer image belonging to the same task;
the reduction degree calculating unit is specifically configured to store each sketch file sent by the front end in different storage paths in advance; storing a first layer image and a second layer image belonging to the same task into a storage path of a sketch file corresponding to the task; sequentially calculating the structural similarity index between the first layer image and the second layer image in each storage path according to the sequence of the preset serial numbers of the storage paths from small to large; and identifying the structural similarity index of each storage path as the reduction degree of the sketch file to which each storage path belongs.
7. The apparatus of claim 6, further comprising:
the report display unit is used for: constructing a reduction ratio comparison report based on the file name of each sketch file and the reduction ratio of each sketch file; and sending the reduction degree comparison report to the front end so that the front end displays the reduction degree comparison report to a user through a preset interface.
8. A computer-readable storage medium, comprising a stored program, wherein the program, when executed by a processor, performs the method for evaluating a file reduction degree according to any one of claims 1 to 5.
9. An apparatus for evaluating a degree of restoration of a document, comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program is executed by the processor to execute the method for evaluating the file reduction degree according to any one of claims 1 to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211265059.4A CN115328855B (en) | 2022-10-17 | 2022-10-17 | Method and device for evaluating file reduction degree, storage medium and equipment |
| PCT/CN2023/124908 WO2024083109A1 (en) | 2022-10-17 | 2023-10-17 | File restoration degree evaluation method and apparatus, storage medium and device |
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| CN202211265059.4A CN115328855B (en) | 2022-10-17 | 2022-10-17 | Method and device for evaluating file reduction degree, storage medium and equipment |
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| CN115328855A CN115328855A (en) | 2022-11-11 |
| CN115328855B true CN115328855B (en) | 2023-01-24 |
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| CN109992518A (en) * | 2019-04-10 | 2019-07-09 | 禄鹏 | Detection method, device, electronic equipment and the storage medium at the interface UI |
| CN114741139A (en) * | 2021-01-07 | 2022-07-12 | 腾讯科技（深圳）有限公司 | sketch graphic file processing method and device, electronic equipment and storage medium |
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| US9959607B2 (en) * | 2015-07-07 | 2018-05-01 | Adp, Llc | Automatic verification of graphic rendition of JSON data |
| CN109389661B (en) * | 2017-08-04 | 2024-03-01 | 阿里健康信息技术有限公司 | Animation file conversion method and device |
| US10938961B1 (en) * | 2019-12-18 | 2021-03-02 | Ndata, Inc. | Systems and methods for data deduplication by generating similarity metrics using sketch computation |
| CN112035772A (en) * | 2020-07-27 | 2020-12-04 | 长沙市到家悠享网络科技有限公司 | Page evaluation method, device and equipment |
| CN114756448A (en) * | 2022-03-04 | 2022-07-15 | 上海极豆科技有限公司 | Automatic testing system and method for reduction degree of user interface |
| CN114637636A (en) * | 2022-03-23 | 2022-06-17 | 中国平安人寿保险股份有限公司 | UI (user interface) verification method, device, equipment and medium based on artificial intelligence |
| CN114860521A (en) * | 2022-04-23 | 2022-08-05 | 中电万维信息技术有限责任公司 | Automatic test method for UI interface reduction degree |
| CN115328855B (en) * | 2022-10-17 | 2023-01-24 | 北京尽微致广信息技术有限公司 | Method and device for evaluating file reduction degree, storage medium and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109992518A (en) * | 2019-04-10 | 2019-07-09 | 禄鹏 | Detection method, device, electronic equipment and the storage medium at the interface UI |
| CN114741139A (en) * | 2021-01-07 | 2022-07-12 | 腾讯科技（深圳）有限公司 | sketch graphic file processing method and device, electronic equipment and storage medium |
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