CN111124470A - Automatic optimization method and device for program package based on cloud platform - Google Patents

Automatic optimization method and device for program package based on cloud platform Download PDF

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CN111124470A
CN111124470A CN201911300703.5A CN201911300703A CN111124470A CN 111124470 A CN111124470 A CN 111124470A CN 201911300703 A CN201911300703 A CN 201911300703A CN 111124470 A CN111124470 A CN 111124470A
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resource
package
program package
cloud platform
program
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黄学勤
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Koubei Shanghai Information Technology Co Ltd
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Koubei Shanghai Information Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F8/70—Software maintenance or management

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Abstract

The embodiment of the invention discloses a method and a device for automatically optimizing a program package based on a cloud platform. The method comprises the following steps: scanning a program package to be optimized, and extracting at least one resource contained in the program package; uploading at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource; deleting at least one resource from the package; and scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package. By adopting the scheme, the automatic optimization of the program package can be realized, the transmission pressure of the user for acquiring the program package is greatly reduced, the transmission resource is saved, and the running speed of the application program is improved.

Description

Automatic optimization method and device for program package based on cloud platform
Technical Field
The invention relates to the technical field of computers, in particular to a method for automatically optimizing a program package based on a cloud platform.
Background
With the continuous development of science and technology and society, the emergence of various application programs (including standard application programs, small programs, fast programs and the like) greatly facilitates the work and life of people. At present, an application developer needs to submit a package to a corresponding application market or an applet platform, so that a user can obtain the package from the application market or the applet platform and further run a corresponding application.
However, the inventor finds that the following defects exist in the prior art in the implementation process: with the increase of the complexity of the application program, the capacity of the corresponding program package is also increased, so that the transmission resource load is increased in the process of acquiring the program package by a user, and the rapid operation of the application program is not facilitated.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are provided to provide a method and an apparatus for automatically optimizing a cloud platform-based package, which overcome or at least partially solve the above problems.
According to an aspect of the embodiments of the present invention, there is provided a method for automatically optimizing a package based on a cloud platform, including:
scanning a program package to be optimized, and extracting at least one resource contained in the program package;
uploading the at least one resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the at least one resource;
deleting the at least one resource from the package;
scanning the code of the program package to obtain the reference information of the at least one resource, replacing the reference information of the at least one resource with the resource acquisition entry of the at least one resource, and repackaging the program package.
Optionally, after the extracting at least one resource included in the package, the method further includes:
screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource;
the resource server for uploading the at least one resource to the cloud platform specifically includes: and uploading the screened at least one resource to a resource server of the cloud platform.
Optionally, the resource type includes at least one of the following types:
picture type, audio type, video type, and text content type.
Optionally, the screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource further includes:
judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
Optionally, after the extracting at least one resource included in the package, the method further includes: for any resource, performing at least one level of compression on the resource to generate at least one compressed resource corresponding to the resource;
the uploading the at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource further includes: for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the resource and at least one compressed resource corresponding to the resource;
after said removing said at least one resource from said package, said method further comprises: generating at least one package backup corresponding to the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
Optionally, after repackaging the package backup, the method further includes:
receiving a program package installation request sent by a client;
determining a repackaged package or a package backup corresponding to the client based on the device attribute information of the client;
and sending the repackaged program package or the program package backup corresponding to the client.
Optionally, the device attribute information includes at least one of the following information:
terminal device screen resolution information, terminal device system information, and terminal device model information.
Optionally, after repackaging the package, the method further includes:
acquiring an updating program package corresponding to the program package;
scanning the updating program package to extract at least one updating resource contained in the updating program package;
aiming at any updated resource, judging whether a resource acquisition inlet of the resource corresponding to the updated resource is acquired; if so, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource and deletes the stored corresponding resource; and if not, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
According to another aspect of the embodiments of the present invention, there is provided an automatic optimization apparatus for a package based on a cloud platform, including:
the extraction module is suitable for scanning a program package to be optimized and extracting at least one resource contained in the program package;
the uploading module is suitable for uploading the at least one resource to a resource server of the cloud platform;
the acquisition module is suitable for acquiring a resource acquisition inlet of the at least one resource;
a deletion module adapted to delete the at least one resource from the package;
the replacing module is suitable for scanning the code of the program package to obtain the reference information of the at least one resource, and replacing the reference information of the at least one resource with the resource obtaining entrance of the at least one resource;
and the repacking module is suitable for repacking the program package.
Optionally, the apparatus further comprises: the screening module is suitable for screening at least one resource according to the resource type and/or the resource capacity of the at least one resource after the at least one resource contained in the program package is extracted;
the upload module is further adapted to: and uploading the screened at least one resource to a resource server of the cloud platform.
Optionally, the resource type includes at least one of the following types:
picture type, audio type, video type, and text content type.
Optionally, the screening module is further adapted to:
judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
Optionally, the apparatus further comprises:
the compression module is suitable for compressing the resource at least at one level aiming at any resource after the at least one resource contained in the program package is extracted so as to generate at least one compressed resource corresponding to the resource;
the upload module is further adapted to: for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of the cloud platform respectively;
the acquisition module is further adapted to: a resource obtaining entrance for obtaining the resource and at least one compressed resource corresponding to the resource;
the device further comprises: a backup module adapted to generate at least one package backup corresponding to the package after said deleting the at least one resource from the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
Optionally, the apparatus further comprises:
the request receiving module is suitable for receiving a program package installation request sent by a client after the program package backup is repackaged;
a determining module adapted to determine a repackaged package or a package backup corresponding to the client based on the device attribute information of the client;
and the sending module is suitable for sending the repackaged program package or the program package backup corresponding to the client.
Optionally, the device attribute information includes at least one of the following information:
terminal device screen resolution information, terminal device system information, and terminal device model information.
Optionally, the apparatus further comprises:
the updating module is suitable for acquiring an updating program package corresponding to the program package after the program package is repackaged; scanning the updating program package to extract at least one updating resource contained in the updating program package;
aiming at any updated resource, judging whether a resource acquisition inlet of the resource corresponding to the updated resource is acquired; if so, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource and deletes the stored corresponding resource; and if not, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
According to another aspect of the embodiments of the present invention, there is provided a cloud platform, including: the automatic program package optimizing device based on the cloud platform and the resource server are arranged; wherein the resource server is used for storing resources.
According to yet another aspect of embodiments of the present invention, there is provided a computing device including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the cloud platform-based automatic program package optimization method.
According to another aspect of the embodiments of the present invention, a computer storage medium is provided, where at least one executable instruction is stored in the storage medium, and the executable instruction causes a processor to execute operations corresponding to the cloud platform-based package automatic optimization method.
The cloud platform-based automatic program package optimization method and device are provided by the embodiment of the invention. Firstly, scanning a program package to be optimized, and extracting at least one resource contained in the program package; uploading at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource; and deleting at least one resource from the package; and further scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package. By adopting the scheme, the automatic optimization of the program package can be realized, the transmission pressure of the user for acquiring the program package is greatly reduced, the transmission resource is saved, and the running speed of the application program is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flowchart illustrating a method for automatically optimizing a package based on a cloud platform according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a cloud platform-based package automatic optimization method according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for automatically optimizing a package based on a cloud platform according to a third embodiment of the present invention;
fig. 4 is a flowchart illustrating a cloud platform-based package automatic optimization method according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram illustrating an automatic optimization device for a package based on a cloud platform according to a fifth embodiment of the present invention;
fig. 6 shows a schematic structural diagram of a cloud platform according to a sixth embodiment of the present invention;
fig. 7 shows a schematic structural diagram of a computing device according to an eighth embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example one
Fig. 1 is a flowchart illustrating a method for automatically optimizing a package based on a cloud platform according to an embodiment of the present invention, where the method for automatically optimizing a package based on a cloud platform may be applied to a cloud platform, and the cloud platform may be an applet platform, a fast application platform, and/or an application market.
As shown in fig. 1, the method comprises the steps of:
step S110: and scanning the program package to be optimized, and extracting at least one resource contained in the program package.
In an actual implementation process, an application developer can submit a package of an application to a cloud platform, so that the method is utilized to optimize the package submitted to the cloud platform. The to-be-optimized program package described in this embodiment includes a program package submitted to a cloud platform to be optimized.
In an alternative embodiment, after receiving the submitted package, it may be further determined whether the submitted package is the package to be optimized comprehensively according to information such as the security level, the package volume, and/or the authority of the submitter of the submitted package. For example, when the security level of the package is greater than the preset level, the package amount is greater than the preset capacity, and/or the submitter authority meets the preset authority requirement, the submitted package is determined to be the package to be optimized.
After determining the packages to be optimized, the packages are further scanned. At least one resource contained in the package can be extracted by scanning the package. The resource may specifically be a picture resource, an audio resource, a video resource, and/or a text content resource, and the like.
Step S120: uploading at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource.
After extracting at least one resource included in the package, the at least one resource may be further uploaded to a resource server of the cloud platform, where the resource server may store the at least one resource and generate a resource acquisition entry with the at least one resource after storing the at least one resource, so that this step may further acquire the resource acquisition entry of the at least one resource, where the resource acquisition entry may be: a resource storage path, an associated interface to retrieve the resource, and/or a resource ID, etc. Optionally, after each resource is extracted, the resource may be uploaded to the resource server; or uploading the resources to the resource server after the resources in the program package to be optimized are all extracted. The embodiment does not limit the specific uploading process.
Step S130: at least one resource is deleted from the package.
After the at least one resource included in the package is extracted, the at least one resource can be further deleted from the package, thereby greatly reducing the package capacity.
In this embodiment, the specific execution sequence of the steps S120 and S130 is not limited, and the steps S120 and S130 may be executed concurrently, so as to improve the execution efficiency of the method; or may be performed sequentially in turn.
Step S140: and scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package.
In order to ensure normal operation of an application program corresponding to a subsequent package, in this embodiment, after a resource is deleted from the package, a code of the package is further scanned, so that reference information of at least one resource can be obtained, and the reference information of any resource in the at least one resource is replaced with a resource acquisition entry corresponding to the resource. And repackages the package after replacement. And the repackaged program package can be issued, the capacity of the repackaged program package is greatly reduced, and the application program based on the program package can normally run, so that the transmission pressure of a user when obtaining the program package can be reduced, the transmission resource is saved, and the quick running of the application program is facilitated.
Therefore, in the embodiment, firstly, the program package to be optimized is scanned, and at least one resource included in the program package is extracted; uploading at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource; and deleting at least one resource from the package; and further scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package. By adopting the scheme, the automatic optimization of the program package can be realized, the transmission pressure of the user for acquiring the program package is greatly reduced, the transmission resource is saved, and the running speed of the application program is improved.
Example two
Fig. 2 is a schematic flow chart illustrating an automatic optimization method for a package based on a cloud platform according to a second embodiment of the present invention, where the automatic optimization method for a package according to the second embodiment is further optimized according to the automatic optimization method for a package according to the first embodiment.
As shown in fig. 2, the method comprises the steps of:
step S210: and scanning the program package to be optimized, and extracting at least one resource contained in the program package.
Step S220: and screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource.
In order to further improve the optimization effect of the package, in this embodiment, after at least one resource included in the package to be optimized is extracted, the extracted resource is further screened.
In a specific screening process, the extracted resources may be screened according to a resource type and/or a resource capacity of at least one resource. Wherein the resource type may include at least one of the following types: picture type, audio type, video type, and text content type. For example, if the resource type of the resource is a picture type, an audio type, or a video type, the resource is determined to be a screened resource.
In an optional implementation, it may be determined whether the resource type of any resource is a text content resource; if the resource type of any resource is a text content resource, further judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource. That is, the embodiment only screens text types with large capacity, so as to consider both the optimization efficiency and the execution efficiency of the method.
In yet another alternative embodiment, the standard resource capacities corresponding to different resource types may be predetermined. The standard resource capacity corresponding to different resource types can be determined comprehensively according to the resource capacity of different resource types in the historical program package, and the operating efficiency and the transmission efficiency corresponding to the program package. For example, when the running efficiency of the corresponding application reaches the preset running efficiency and/or the transmission efficiency reaches the preset transmission efficiency, the resource capacity statistics (such as the average value of the resource capacity, the median of the resource capacity, and/or the maximum value or the minimum value of the resource capacity) of different resource types in each package are counted, so that the resource capacity statistics of different resource types are used as the standard resource capacities corresponding to different resource types. Further, for at least one resource included in the extracted program package, when the capacity corresponding to the resource exceeds the standard resource capacity matched with the resource type corresponding to the resource, determining that the resource is the screened resource, and uploading the resource to a resource server in the subsequent steps.
Step S230: uploading the screened at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource.
Step S240: the filtered at least one resource is deleted from the package.
Step S250: scanning the codes of the program package to obtain the reference information of the screened at least one resource, replacing the reference information of the at least one resource with the resource acquisition entry of the at least one resource, and repackaging the program package.
In this embodiment, the specific implementation process of step S210, step S230 to step S250 may refer to the description of the corresponding parts in the first embodiment, which is not described herein again.
Therefore, the embodiment can greatly reduce the transmission pressure of the user for acquiring the program package, save transmission resources and improve the running speed of the application program; and further screening at least one resource according to the resource type and/or the resource capacity of the at least one resource, so that the screened resource is optimized, the optimization efficiency of the program package is further improved, and the defect of low execution efficiency caused by processing some invalid resources is avoided.
EXAMPLE III
Fig. 3 is a schematic flow chart illustrating an automatic optimization method for a package based on a cloud platform according to a third embodiment of the present invention, where the automatic optimization method for a package according to the third embodiment is further optimized for the automatic optimization method for a package according to the first embodiment and/or the second embodiment.
As shown in fig. 3, the method comprises the steps of:
step S310: and scanning the program package to be optimized, and extracting at least one resource contained in the program package.
Step S320: for any resource in at least one resource, performing at least one level of compression on the resource to generate at least one compressed resource corresponding to the resource.
In this embodiment, in order to improve the user experience of a subsequent user using an application program corresponding to a program package, after at least one resource included in the program package is extracted, at least one level of compression is further performed on the resource with respect to any resource, so that at least one compressed resource corresponding to the resource is generated.
The embodiment does not limit the specific compression algorithm. The resources can be compressed by adopting a matched compression algorithm according to different resource types. For example, for a picture resource, the picture may be compressed at one level and/or at two levels for subsequent matching with different terminal devices.
Step S330: and uploading the resource and at least one compressed resource corresponding to the resource to a resource server of the cloud platform respectively aiming at any resource, and acquiring a resource acquisition entry of the resource and at least one compressed resource corresponding to the resource.
In this embodiment, in addition to uploading the resource to the resource server of the cloud platform, the compressed resource corresponding to the resource is further uploaded to the resource server. The resource server stores the resource and the compressed resource corresponding to the resource. And generating a resource acquisition entry corresponding to the resource and a resource acquisition entry corresponding to the compressed resource.
Step S340: at least one resource is deleted from the package.
Step S350: scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package.
Step S360: generating at least one program package backup corresponding to a program package, scanning the program package backup aiming at any program package backup to obtain the reference information of at least one resource, replacing the reference information of the resource with a resource acquisition inlet of any compressed resource corresponding to the resource aiming at any resource in the program package backup, and repackaging the program package backup.
In this embodiment, the program package is further subjected to backup processing, so that at least one program package backup corresponding to the program package is obtained. In this embodiment, when the program package is backed up, the corresponding resource is deleted from the program package, so that the obtained program package backup does not include the corresponding resource any more.
Further, for any package backup, the package backup is scanned to obtain the reference information of the corresponding resource. Further, the reference information of the resource in the package backup is replaced by a resource acquisition entry of any compressed resource corresponding to the resource, and the package backup is repackaged. For one resource, resource obtaining entries of compressed resources corresponding to the resource in different program package backups are different.
For example, a picture resource a is extracted from the package J, and after the picture resource a is compressed at two levels, a compressed resource a1 and a compressed resource a2 corresponding to the picture resource a are obtained; uploading the stored picture resource A, the compressed resource A1 and the compressed resource A2 to a resource server, and respectively obtaining resource obtaining entries P, P1 and P2 corresponding to the picture resource A, the compressed resource A1 and the compressed resource A2; deleting the picture resource A in the package J, and generating a package backup J1 and a package backup J2 corresponding to the package J (wherein the package backup J1 and the package backup J2 do not contain the picture resource A); and finally, replacing the reference information of the picture resource A in the package J with a resource acquisition entry P, replacing the reference information resource acquisition entry P1 of the picture resource A in the package backup J1 with the reference information resource acquisition entry P2 of the picture resource A in the package backup J2.
Through the execution of the above-mentioned steps, the present embodiment can obtain a repackaged package and a backup of the repackaged package. Wherein the repackaged package corresponds to the standard optimized version of the package and the repackaged backup of the package corresponds to the other optimized version of the package.
In this embodiment, the specific execution sequence of steps S340 to S360 is not limited, and the three steps may be executed concurrently or sequentially.
Step S370: receiving a program package installation request sent by a client, determining a repackaged program package or a program package backup corresponding to the client based on the device attribute information of the client, and sending the repackaged program package or the program package backup corresponding to the client.
The client can trigger a package installation request of the application program through corresponding triggering operation, such as clicking operation on a corresponding application program icon in the cloud platform. After receiving the installation request, device attribute information of the client may be acquired. Wherein the device attribute information includes at least one of the following information: terminal device screen resolution information, terminal device system information, and terminal device model information, and the like.
Further, determining a repackaged package or a package backup corresponding to the client based on the device attribute information of the client, and sending the repackaged package or the package backup corresponding to the client. For example, if the screen resolution of the terminal device of the client is low, the repackaged package backup J2 can be determined as the package backup corresponding to the client, wherein the pixels of the compressed resource a2 corresponding to the picture resource a in the package backup J2 match the screen resolution of the terminal device of the client, so that the transmission resource can be further saved.
In this embodiment, the specific execution processes of step S310, step S340 and step S350 may refer to the descriptions of the corresponding parts in the first embodiment and/or the second embodiment, which are not repeated herein.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved; in addition, the embodiment can provide the matched optimized program package or program package backup for the client based on the device attribute information of the client, thereby improving the user experience and further saving the transmission resource.
Further, in another embodiment, step S320 may be replaced with: and aiming at any resource in at least one resource, performing language conversion of at least one natural language on the resource to generate at least one language auxiliary resource corresponding to the resource. For example, for subtitle resources in video resources, resources that are originally chinese subtitles may be converted into resources for english subtitles, which are language resources; in step S330, for any resource, uploading the resource and at least one language sub-resource corresponding to the resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the resource and at least one language sub-resource corresponding to the resource; in step S360, at least one package backup corresponding to the package is generated, the package backup is scanned for any one of the package backups to obtain reference information of at least one resource, the reference information of the resource is replaced with a resource acquisition entry of any one of the language sub-resources corresponding to the resource for any one of the resource in the package backup, and the package backup is repackaged; then in step S370, a package installation request sent by the client is received, a repackaged package or a package backup corresponding to the client is determined based on the device attribute information of the client, and the repackaged package or the package backup corresponding to the client is sent to the client. The device attribute information includes language information used by the current device, and if the current device uses simplified Chinese, the repackaged program package or program package backup corresponding to the simplified Chinese is sent to the client. Thereby further enhancing the user experience.
Example four
Fig. 4 is a flowchart illustrating a cloud platform-based automatic optimization method according to a fourth embodiment of the present invention, where the automatic optimization method provided in this embodiment is directed to further optimization of the methods in the first embodiment, the second embodiment, and/or the third embodiment.
As shown in fig. 4, the method comprises the steps of:
step S410: and scanning the program package to be optimized, and extracting at least one resource contained in the program package.
Step S420: uploading at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource.
Step S430: at least one resource is deleted from the package.
Step S440: and scanning the code of the program package to obtain the reference information of at least one resource, replacing the reference information of at least one resource with the resource acquisition entry of at least one resource, and repackaging the program package.
The specific execution process in steps S410 to S440 may refer to the description of the corresponding parts in the first embodiment, the second embodiment and/or the third embodiment, which is not repeated herein.
Step S450: and acquiring an updating program package corresponding to the program package, and scanning the updating program package to extract at least one updating resource contained in the updating program package.
In this embodiment, the resource server centrally stores the resources extracted from the program package, so that centralized management of the extracted resources is facilitated. In the updating process of the program package, only the updating resource can be provided in the updating program package, and the dynamic updating of the program package can be realized, so that the whole program package does not need to be modified, and the updating efficiency is further improved.
Specifically, an update package corresponding to the package may be obtained, and the update package may be scanned to extract at least one update resource included in the update package.
Step S460: and for any updated resource, updating by adopting a corresponding updating mode according to whether the resource acquisition entry of the resource corresponding to the updated resource is acquired.
In a specific implementation process, for any updated resource, it is first determined whether a resource acquisition entry of a resource corresponding to the updated resource is acquired. If so, indicating that the updated resource is the update of the existing resource, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource, and deleting the stored corresponding resource, namely replacing the corresponding stored resource with the updated resource; if not, indicating that the updated resource is not the update of the existing resource, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved; in addition, the embodiment can realize dynamic update of the program package, and improve the update efficiency.
EXAMPLE five
Fig. 5 is a schematic structural flow diagram illustrating an automatic cloud platform-based package optimization apparatus according to a fifth embodiment of the present invention, where the apparatus includes: an extraction module 51, an upload module 52, an acquisition module 53, a deletion module 54, a replacement module 55, and a repackaging module 56.
The extraction module 51 is adapted to scan a program package to be optimized, and extract at least one resource included in the program package;
an upload module 52 adapted to upload the at least one resource to a resource server of the cloud platform;
an obtaining module 53, adapted to obtain a resource obtaining entry of the at least one resource;
a deletion module 54 adapted to delete the at least one resource from the package;
a replacing module 55, adapted to scan a code of the package to obtain reference information of the at least one resource, and replace the reference information of the at least one resource with a resource obtaining entry of the at least one resource;
a repackaging module 56 adapted to repackage the package.
Optionally, the apparatus further comprises: a screening module (not shown in the figures) adapted to screen at least one resource included in the package according to a resource type and/or a resource capacity of the at least one resource after the extracting;
the upload module (not shown in the figures) is further adapted to: and uploading the screened at least one resource to a resource server of the cloud platform.
Optionally, the resource type includes at least one of the following types: picture type, audio type, video type, and text content type.
Optionally, the screening module is further adapted to: judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
Optionally, the apparatus further comprises: a compression module (not shown in the figure), adapted to perform, after the extracting of the at least one resource included in the package, at least one level of compression on any resource to generate at least one compressed resource corresponding to the resource;
the upload module is further adapted to: for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of the cloud platform respectively;
the acquisition module is further adapted to: a resource obtaining entrance for obtaining the resource and at least one compressed resource corresponding to the resource;
the device further comprises: a backup module (not shown in the figure) adapted to generate at least one package backup corresponding to the package after said deleting the at least one resource from the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
Optionally, the apparatus further comprises: a request receiving module (not shown in the figure) adapted to receive a package installation request sent by the client after the repackaging of the package backup;
a determining module (not shown in the figure) adapted to determine a repackaged program package or a program package backup corresponding to the client based on the device attribute information of the client;
a sending module (not shown in the figure) adapted to send the repackaged program package or the program package backup corresponding to the client.
Optionally, the device attribute information includes at least one of the following information: terminal device screen resolution information, terminal device system information, and terminal device model information.
Optionally, the apparatus further comprises: an updating module (not shown in the figure), adapted to obtain an updating program package corresponding to the program package after the repackaging of the program package; scanning the updating program package to extract at least one updating resource contained in the updating program package;
aiming at any updated resource, judging whether a resource acquisition inlet of the resource corresponding to the updated resource is acquired; if so, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource and deletes the stored corresponding resource; and if not, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
The specific implementation process of each module in this embodiment may refer to the description of the corresponding part in the method embodiment, which is not described in detail in this embodiment.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved.
EXAMPLE six
Fig. 6 is a schematic structural diagram of a cloud platform provided by a sixth embodiment of the present invention, where the cloud platform includes a package automatic optimization device 61 based on the cloud platform and a resource server 62; wherein the resource server is used for storing resources.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved; moreover, the platform has the characteristics of simple structure and high operation efficiency, and is suitable for large-scale application.
EXAMPLE seven
According to a seventh embodiment of the present invention, a non-volatile computer storage medium is provided, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the cloud platform-based automatic package optimization method in any of the above method embodiments.
The executable instructions may be specifically configured to cause the processor to:
scanning a program package to be optimized, and extracting at least one resource contained in the program package;
uploading the at least one resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the at least one resource;
deleting the at least one resource from the package;
scanning the code of the program package to obtain the reference information of the at least one resource, replacing the reference information of the at least one resource with the resource acquisition entry of the at least one resource, and repackaging the program package.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
after said extracting at least one resource contained by said package,
screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource;
the resource server for uploading the at least one resource to the cloud platform specifically includes: and uploading the screened at least one resource to a resource server of the cloud platform.
In an alternative embodiment, the resource type includes at least one of the following types:
picture type, audio type, video type, and text content type.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
for any resource, performing at least one level of compression on the resource to generate at least one compressed resource corresponding to the resource;
for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the resource and at least one compressed resource corresponding to the resource;
generating at least one package backup corresponding to the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
receiving a program package installation request sent by a client;
determining a repackaged package or a package backup corresponding to the client based on the device attribute information of the client;
and sending the repackaged program package or the program package backup corresponding to the client.
In an optional embodiment, the device attribute information includes at least one of the following information:
terminal device screen resolution information, terminal device system information, and terminal device model information.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
acquiring an updating program package corresponding to the program package;
scanning the updating program package to extract at least one updating resource contained in the updating program package;
aiming at any updated resource, judging whether a resource acquisition inlet of the resource corresponding to the updated resource is acquired; if so, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource and deletes the stored corresponding resource; and if not, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved.
Example eight
Fig. 7 is a schematic structural diagram of a computing device according to an eighth embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 7, the computing device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a communication bus 708.
Wherein: the processor 702, communication interface 704, and memory 706 communicate with each other via a communication bus 708. A communication interface 704 for communicating with network elements of other devices, such as clients or other servers. The processor 702 is configured to execute the program 710, and may specifically execute the relevant steps in the foregoing method embodiments.
In particular, the program 710 may include program code that includes computer operating instructions.
The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 710 may specifically be used to cause the processor 702 to perform the following operations:
scanning a program package to be optimized, and extracting at least one resource contained in the program package;
uploading the at least one resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the at least one resource;
deleting the at least one resource from the package;
scanning the code of the program package to obtain the reference information of the at least one resource, replacing the reference information of the at least one resource with the resource acquisition entry of the at least one resource, and repackaging the program package.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to perform the following operations:
after said extracting at least one resource contained by said package,
screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource;
the resource server for uploading the at least one resource to the cloud platform specifically includes: and uploading the screened at least one resource to a resource server of the cloud platform.
In an alternative embodiment, the resource type includes at least one of the following types:
picture type, audio type, video type, and text content type.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to perform the following operations:
judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to perform the following operations:
for any resource, performing at least one level of compression on the resource to generate at least one compressed resource corresponding to the resource;
for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the resource and at least one compressed resource corresponding to the resource;
generating at least one package backup corresponding to the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to perform the following operations:
receiving a program package installation request sent by a client;
determining a repackaged package or a package backup corresponding to the client based on the device attribute information of the client;
and sending the repackaged program package or the program package backup corresponding to the client.
In an optional embodiment, the device attribute information includes at least one of the following information:
terminal device screen resolution information, terminal device system information, and terminal device model information.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to perform the following operations:
acquiring an updating program package corresponding to the program package;
scanning the updating program package to extract at least one updating resource contained in the updating program package;
aiming at any updated resource, judging whether a resource acquisition inlet of the resource corresponding to the updated resource is acquired; if so, uploading the updated resource to a resource server of the cloud platform so that the resource server stores the updated resource at the storage position of the corresponding resource and deletes the stored corresponding resource; and if not, uploading the updated resource to a resource server of the cloud platform, acquiring a resource acquisition entry of the updated resource, and replacing the reference information of the updated resource in the update package with the resource acquisition entry of the updated resource.
Therefore, the transmission pressure of the user for acquiring the program package can be greatly reduced, transmission resources are saved, and the running speed of the application program is improved.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

Claims (10)

1. A method for automatically optimizing a program package based on a cloud platform comprises the following steps:
scanning a program package to be optimized, and extracting at least one resource contained in the program package;
uploading the at least one resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the at least one resource;
deleting the at least one resource from the package;
scanning the code of the program package to obtain the reference information of the at least one resource, replacing the reference information of the at least one resource with the resource acquisition entry of the at least one resource, and repackaging the program package.
2. The method of claim 1, wherein after said extracting at least one resource contained by the package, the method further comprises:
screening the at least one resource according to the resource type and/or the resource capacity of the at least one resource;
the resource server for uploading the at least one resource to the cloud platform specifically includes: and uploading the screened at least one resource to a resource server of the cloud platform.
3. The method of claim 2, wherein the resource type comprises at least one of the following types:
picture type, audio type, video type, and text content type.
4. The method of claim 3, wherein the screening the at least one resource according to a resource type and/or a resource capacity of the at least one resource further comprises:
judging whether the resource type of any resource is a text content resource;
if the resource type of any resource is a text content resource, judging whether the resource capacity of the text content resource exceeds a preset threshold value, and if so, screening the resource.
5. The method of any of claims 1-4, wherein after said extracting at least one resource contained by the package, the method further comprises: for any resource, performing at least one level of compression on the resource to generate at least one compressed resource corresponding to the resource;
the uploading the at least one resource to a resource server of the cloud platform, and acquiring a resource acquisition entry of the at least one resource further includes: for any resource, uploading the resource and at least one compressed resource corresponding to the resource to a resource server of a cloud platform, and acquiring a resource acquisition entry of the resource and at least one compressed resource corresponding to the resource;
after said removing said at least one resource from said package, said method further comprises: generating at least one package backup corresponding to the package; scanning the program package backup to obtain reference information of at least one resource aiming at any program package backup; and aiming at any resource in the program package backup, replacing the reference information of the resource with a resource acquisition entry of any compressed resource corresponding to the resource, and repackaging the program package backup.
6. The method of claim 5, wherein after said repackaging the package backup, the method further comprises:
receiving a program package installation request sent by a client;
determining a repackaged package or a package backup corresponding to the client based on the device attribute information of the client;
and sending the repackaged program package or the program package backup corresponding to the client.
7. An automatic program package optimization device based on a cloud platform comprises:
the extraction module is suitable for scanning a program package to be optimized and extracting at least one resource contained in the program package;
the uploading module is suitable for uploading the at least one resource to a resource server of the cloud platform;
the acquisition module is suitable for acquiring a resource acquisition inlet of the at least one resource;
a deletion module adapted to delete the at least one resource from the package;
the replacing module is suitable for scanning the code of the program package to obtain the reference information of the at least one resource, and replacing the reference information of the at least one resource with the resource obtaining entrance of the at least one resource;
and the repacking module is suitable for repacking the program package.
8. A cloud platform, comprising: the cloud platform-based package automatic optimization device according to claim 7, and a resource server; wherein the resource server is used for storing resources.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the cloud platform-based package automatic optimization method according to any one of claims 1-6.
10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the cloud platform based package automatic optimization method according to any one of claims 1-6.
CN201911300703.5A 2019-12-17 2019-12-17 Automatic optimization method and device for program package based on cloud platform Pending CN111124470A (en)

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