CN103093068B - Obtain method and the client of task data - Google Patents

Obtain method and the client of task data Download PDF

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Publication number
CN103093068B
CN103093068B CN201110331363.XA CN201110331363A CN103093068B CN 103093068 B CN103093068 B CN 103093068B CN 201110331363 A CN201110331363 A CN 201110331363A CN 103093068 B CN103093068 B CN 103093068B
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task
grade
data
language
index
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CN103093068A (en
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孟金锋
周涛
石航杰
刘毅
王磊
黄立柯
周斌
毛吉振
王圣元
古振兴
董锡军
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Abstract

The invention discloses a kind of method and the client that obtain task data, belong to networking technology area.Described method comprises: the grade section determining described grade place according to the grade of user and grade segment information; Load the task data of all grades in described grade section; Described task data is shown to described user.Described client comprises: determination module, load-on module and display module.The present invention is by determining the grade section at this grade place according to the grade of user and grade segment information, and load the task data of all grades in this grade section, load the whole task datas in whole game when playing and starting relative to prior art, effectively can reduce the data volume of the task data once loaded, reduce flow and CPU occupancy, user does not need to wait for for a long time at loading interface, accelerates the display speed of task, improves Consumer's Experience.

Description

Obtain method and the client of task data
Technical field
The present invention relates to networking technology area, particularly a kind of method and client obtaining task data.
Background technology
Along with developing rapidly of wireless Internet technologies and mobile phone, people are no longer satisfied with and only use mobile phone to converse and photos and sending messages, and mobile phone network game becomes mobile phone and applies a focus.But due to the specificity of cell phone platform, a online game needs the version different according to different platform developments, and effectively can not utilize existing resource, cause the problem of the low and wasting of resources of development efficiency.In order to address this problem, people start Flash (the interactive polar plot of Adobe company and the standard of the Web animation) online game of developing cell phone platform.Flash online game runs in FlashPlayer (Flash player), do not rely on mobile phone operating system, and the browser of main flow all supports that Flash plays, as long as therefore user opens the client of Flash online game by browser and logs in and can easily play.To sum up, Flash online game has the characteristics such as compact, development efficiency is high, platform support is wide, can send a abundant in content, mobile phone games that playability is high by fast open.
Most of game content in Flash online game is all operationally obtain with server interaction, because wireless network has the defect of high time delay, low bandwidth and instability, in order to improve Consumer's Experience, the frequency of interaction with server to be reduced as far as possible, reduce mutual data volume.And task system is as the core system of online game, more task amount and detailed task description can enrich the content of game to a great extent, and the contradiction therefore between the mutual task data of a large amount of needs and wireless network defect brings huge challenge to the exploitation of Flash online game.The mode of static text is adopted to solve at present for this problem: the content of text first having loaded the whole task datas in whole game when playing and starting, article one, task data mainly comprises task ID (Identity, mark), task title, task description, the information such as incentive goods and consumable articles, just need not again from a large amount of descriptor of server request when needing display task list like this in the process of game, only need the ID asking corresponding task from server, from the text of prestrain, the data of this task are obtained again according to this ID.
Realizing in process of the present invention, inventor finds that prior art at least exists following problem:
First, for a abundant in content Flash online game, the content of text of whole task data is a lot, therefore prestrain content of text is excessive, thus cause player to need to wait for long-time at loading interface, Consumer's Experience is bad, and, the text of prestrain is larger, JSON (JavaScriptObjectNotation, data interchange format based on the lightweight of JavaScript language) time of resolving is longer, CPU (the CentralProcessingUnit consumed, central processing unit) also larger, thus the situation without response can be there is on some low terminal, secondly, for the user of a certain grade, only need display to be in the task of his this grade, all tasks higher than his grade are all do not need display, this part task data is pre-loaded come in after just define redundant information, cause the waste of resource greatly.
Summary of the invention
In order to solve the problem of prior art, embodiments provide a kind of method and the client that obtain task data.Described technical scheme is as follows:
On the one hand, provide a kind of method obtaining task data, described method comprises:
The grade section at described grade place is determined according to the grade of user and grade segment information;
Load the task data of all grades in described grade section;
Described task data is shown to described user.
Further, load the task data of all grades in described grade section, comprising:
Load the static data of the task of all grades in described grade section, described static data comprises task identification, task title and task description;
Obtain the dynamic data of the task of all grades in described grade section, described dynamic data comprises task identification, incentive goods, consumable articles and task description index;
According to described static data and the complete task data of described software test data generation.
Wherein, alternatively, described task description, comprising: start language, middle language and conclusion, described beginning language, middle language and conclusion are respectively one or more;
Correspondingly, described task description index, comprising: start language index, middle language index and conclusion index.
Further, according to described static data and the complete task data of described software test data generation, comprising:
According to the task identification in described dynamic data, in the described grade section loaded whole tasks of grade static data obtain the static data matched with task identification;
According to the beginning language index in described dynamic data, middle language index and conclusion index, from the static data of described coupling obtain one or more accordingly language, middle language and conclusion;
By the task identification in described dynamic data, incentive goods, consumable articles, described in task title in the static data that matches and the beginning language of acquisition, middle language and conclusion combine, obtain complete task data.
Alternatively, before determining the grade section at described grade place according to the grade of user and grade segment information, also comprise:
Prestore the grade segment information obtained from server, described grade segment information is carried out dividing obtaining according to user gradation number by described server.
On the other hand, provide a kind of client obtaining task data, described client comprises:
Determination module, for determining the grade section at described grade place according to the grade of user and grade segment information;
Load-on module, for after described determination module determination grade section, loads the task data of all grades in described grade section;
Display module, the task data for being loaded by described load-on module is shown to described user.
Further, described load-on module, comprising:
Loading unit, for loading the static data of the task of whole grade in described grade section, described static data comprises task identification, task title and task description;
Acquiring unit, for obtaining the dynamic data of the task of whole grade in described grade section, described dynamic data comprises task identification, incentive goods, consumable articles and task description index;
Generation unit, the task data that the software test data generation obtained for the static data that loads according to described loading unit and described acquiring unit is complete.
Wherein, alternatively, described task description, comprising: start language, middle language and conclusion, described beginning language, middle language and conclusion are respectively one or more;
Correspondingly, described task description index, comprising: start language index, middle language index and conclusion index.
Further, described generation unit, specifically for according to the task identification in described dynamic data, in the described grade section loaded whole tasks of grade static data obtain the static data matched with task identification; According to the beginning language index in described dynamic data, middle language index and conclusion index, from the static data of described coupling obtain one or more accordingly language, middle language and conclusion; By the task identification in described dynamic data, incentive goods, consumable articles, described in task title in the static data that matches and the beginning language of acquisition, middle language and conclusion combine, obtain complete task data.
Alternatively, described client also comprises:
Memory module, for before described determination module determination grade section, prestore the grade segment information obtained from server, described grade segment information is carried out dividing obtaining according to user gradation number by described server.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
By the user gradation in Flash online game is divided into multiple grade section, task data is obtained according to the segmentation of grade section, load the whole task datas in whole game when playing and starting relative to prior art, effectively can reduce the data volume of the task data once loaded, reduce flow and CPU occupancy, user does not need to wait for for a long time at loading interface, accelerates the display speed of task, improves Consumer's Experience, secondly, after dividing the grade section be of moderate size, once load the task data in the grade section of needs, both the data that disposable loading is too much can have been avoided, also later stage frequent requests data can be avoided, and because the task data of the grade section after this grade section need not load, decrease resource occupation amount, solve in prior art the problem loading whole task data and cause redundant information too much, in addition, all task datas of the prior art are all write dead in configuration, cannot dynamic-configuration, for task description field, some critical data cannot be changed, thus become a new task, reusability is little, in embodiments of the present invention the task description of task is further subdivided into beginning language, middle language and conclusion, and by the beginning language index in dynamic data, the beginning language that this task is concrete can be selected arbitrarily in middle language index and conclusion index, middle language and conclusion, thus can the particular content of flexible configuration task, improve the reusability of the information in task description, and multiple-task can be produced based on a task data, enhance the diversity of task, randomness.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the method flow diagram of the acquisition task data that the embodiment of the present invention one provides;
Fig. 2 is the method flow diagram of the acquisition task data that the embodiment of the present invention two provides;
Fig. 3 is the method flow diagram of the interior all task datas of grade of loading grade section that the embodiment of the present invention two provides;
Fig. 4 is the client terminal structure schematic diagram of the acquisition task data that the embodiment of the present invention three provides;
Fig. 5 is the structural representation of the load-on module that the embodiment of the present invention three provides;
Fig. 6 is the client terminal structure schematic diagram of the another kind acquisition task data that the embodiment of the present invention three provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Embodiment one
Embodiments provide a kind of method obtaining task data, the method can be applied to the client of the Flash online game under wireless network environment, obtains task data according to grade segmentation.See Fig. 1, method flow comprises:
101: the grade section determining this grade place according to the grade of user and grade segment information;
102: the task data loading all grades in this grade section;
103: task data is shown to user.
The method that the embodiment of the present invention provides, by determining the grade section at this grade place according to the grade of user and grade segment information, and load the task data of all grades in this grade section, load the whole task datas in whole game when playing and starting relative to prior art, effectively can reduce the data volume of the task data once loaded, reduce flow and CPU occupancy, user does not need to wait for long-time at loading interface, accelerate the display speed of task, improve Consumer's Experience; Secondly, after dividing the grade section be of moderate size, once load the task data in the grade section of needs, both the data that disposable loading is too much can have been avoided, also later stage frequent requests data can be avoided, and because the task data of the grade section after this grade section need not load, decrease resource occupation amount, solve in prior art the problem loading whole task data and cause redundant information too much.
Embodiment two
Embodiments provide a kind of method obtaining task data, the method can be applied to the client of the Flash online game under wireless network environment, obtains task data according to grade segmentation.See Fig. 2, method flow comprises:
201: client determines the grade section at this grade place according to the grade of user and grade segment information;
Wherein, prestore the grade segment information obtained from server in client, this grade segment information is carried out dividing obtaining according to user gradation number by server.The embodiment of the present invention is not to being that a grade section specifically limits by several grade classification.But the division of grade section is unsuitable too small, although because for less grade section, whole task data amounts in the grade section of one secondary loading are very little, but along with the upgrading of user needs the task data in the grade section that please look for novelty frequently in game process, because wireless network has the defect of high time delay, low bandwidth and instability, too frequently poor user experience can be caused alternately; Meanwhile, the division of grade section is also unsuitable excessive, crosses conference and causes the data volume of disposable loading too large, thus causes player to need to wait for that Consumer's Experience was bad for a long time at loading interface.Such as one is had to the online game of 50 grades, can be a grade section with ten grades, both avoid the data that disposable loading is too much, and it also avoid later stage frequent requests data.
Particularly, after user logs in client, or when user rises up into a new grade, client obtains the grade of active user, then determines the grade section at this grade place according to the grade of user and grade segment information.
202: judge whether the task data of this grade section exists, if existed, then flow process terminates, and if there is no, then performs 203;
Particularly, with this grade section for whether index search exists the task data of this grade section.Such as, suppose that the grade of user is the first order, and be a grade section with ten grades, so the first order belongs to the grade section of (1-10) level, and whether the task data of searching the grade section of (1-10) level exists.
203: if there is no, then load the task data of all grades in this grade section;
Particularly, the method provided due to the embodiment of the present invention obtains task data according to grade segmentation, so once load the whole task datas in a grade section.If judge that the task list of a certain grade place grade section does not exist, then illustrate that the grade of this user changes, and be enter a new grade section, load the task data of this new grade section.Be such as a grade section with ten grades, when user enter first play and start the first order time, load the whole task datas in the grade section of (1-10) level, when user is raised to the tenth one-level from the tenth grade, load the whole task datas in the grade section of (11-20) level, by that analogy.
Task data mainly comprises the information such as task ID, task title, task description, incentive goods and consumable articles, and these information take task ID as index, then can obtain the detailed task data of this task according to task ID.
Further, task data can be divided into static data and dynamic data two parts.For the task data of any task, because the data volume of task title and task description is comparatively large, and be constant for this task, so task title and task description are extracted, be index with task ID, as static data, wherein task description can have at least one; Using incentive goods, consumable articles and task description index as dynamic data, this dynamic data is index equally with task ID.
If take mode task data being divided into static data and dynamic data, after static data is pre-configured in a text form, see Fig. 3, the task data loading all grades in this grade section can comprise the steps:
203a: the static data loading the task of all grades in this grade section, this static data comprises task ID, task title and task description;
For the Flash online game of cell phone platform, because AS2 (ActionScript2 only supported by the Flash plug-in unit on current mobile phone browser, follow the programming language of the AdobeFlashPlayer running environment of ECMAscript the 4th edition) exploitation, and in AS2, do not support byte stream, so static data will configure in the mode of text, and can represent the end of a task static data with " n ", " r " represents the interval of field in data.
Particularly, HTTP (HyperTextTransferProtocol can be passed through, HTML (Hypertext Markup Language)) static data of the task of whole grade in this grade section is loaded from server, after having loaded, can these static datas be left in ShareObject, just the static data downloading the task in these grade of section again from server is not needed when user logs in next time, along with the raising of user gradation, low-grade static data has all been kept in ShareObject, only have when user enters the static data that a new grade Duan Shicai needs to load this new grade section.After static data has loaded, be that index leaves in Associate array with task ID, only need during operation just can obtain corresponding static data according to task ID.
203b: the dynamic data obtaining the task of all grades in this grade section, this dynamic data comprises task ID, incentive goods, consumable articles and task description index;
Particularly, during user end to server dynamic data request, JSON data layout and server can be adopted to carry out exchanges data, JSON has two kinds of structures, one is the set (Acollectionofname/valuepairs) that " name/value " is right, and another kind is the ordered list (Anorderedlistofvalues) of value.Can to adopt in these two kinds of structures a kind of carries out the mutual of dynamic data for client and server.
Wherein, the first structure is easy to read, but for the dynamic data of arbitrary grade section, find after tested, identification field account for the data volume of more than 60%, so in order to reduce mutual data volume as much as possible, can preferably the ordered list of adopted value structure obtain dynamic data.Such as we can adopt the structure of following dynamic data:
[task ID, [and incentive goods 1, incentive goods 2 ... ], [consumable articles 1, consumable articles 2 ... ], task description index].
203c: according to static data and the complete task data of software test data generation.
Particularly, first resolve the dynamic data of the task in this grade section one by one, then one by one the dynamic data of task and static data are carried out mating and combining according to task ID, obtain complete task data.
If what dynamic data adopted is the structure of the ordered list of value, in order to avoid clerical error, need in the client to set up corresponding structure in advance to resolve dynamic data: add CloneArray class in the client, have attributes member variable in CloneArray class, attributes member variable may be used for the array content in order reading JSON.Wherein define member's contents such as task ID, incentive goods, consumable articles and the task description index in dynamic data in attributes array, because these members are likely arrays, as incentive goods and consumable articles, so need recursion resolution dynamic data, the flow process of resolving can be: traversal array, if its member is not array, then directly obtain the attribute of this member, if its member is array, then return the step performing traversal array, until traversal complete strips dynamic data, get the particular content in this dynamic data.
After dynamic data is parsed, according to task ID, obtain corresponding static data, take out the task specification of this task according to the task description index in dynamic data and the task description in static data, and jointly form complete mission bit stream with other information remaining in dynamic data and static data.
Further, in order to improve the reusability of the information in task description, and various Random Task can be produced, task description can also segment by method that the embodiment of the present invention provides further, be divided into beginning language, middle language and conclusion, and start language, middle language and conclusion are respectively one or more, such as, article one, the task description of task can comprise X bar and starts language, language and Z bar conclusion in the middle of Y bar, X, Y and Z be more than or equal to one integer, so this section of task description just can according to beginning language, the difference that middle language and conclusion are selected and produce X × Y × Z bar Random Task, thus realize dynamic-configuration.
Correspondingly, the task description index in dynamic data can comprise beginning language index, middle language index and conclusion index, and so the structure of a dynamic data can be as follows:
[task ID, [and incentive goods 1, incentive goods 2 ... ], [consumable articles 1, consumable articles 2 ... ], start language index, middle language index, conclusion index].
And then, step 203c is according to static data and the complete task data of software test data generation, be specifically as follows: according to the task ID in dynamic data, in this grade section loaded whole tasks of grade static data obtain the static data that task ID matches; According to the beginning language index in this dynamic data, middle language index and conclusion index, from the static data of this coupling obtain one or more accordingly language, middle language and conclusion; Task title in task ID in this dynamic data, incentive goods, consumable articles, this static data matched and the beginning language obtained, middle language and conclusion are combined, obtains complete task data.
204: task data is shown to user.
Alternatively, task data can be shown to user with the form of task list.Be specially, after loading the task data of this grade section good, these task datas are added to set up in advance with in the grade section Associate array that is index, and using the grade section of these task datas as index, and the information such as the task title of each task, task description, incentive goods and consumable articles are shown to user in the form of a list.Such as, one is had to have the online game of 50 grades, be a grade section with ten grades, the index of the Associate array set up so in advance can be (1-10), (11-20), (21-30), (31-40) and (41-50), the value that in this Associate array, index is corresponding is then the list of the task data of all grades in respective level section, is called for short task list.Generally by grade section Pagination Display when task list is shown to user by client, such as show from the task of the first order, one page shows several tasks, as two to three tasks.
The method that the embodiment of the present invention provides, introduce a kind of sectional type text segmentation technology, by the user gradation in Flash online game is divided into multiple grade section, task data is obtained according to the segmentation of grade section, load the whole task datas in whole game when playing and starting relative to prior art, effectively can reduce the data volume of the task data once loaded, reduce flow and CPU occupancy, user does not need to wait for long-time at loading interface, accelerate the display speed of task, improve Consumer's Experience, secondly, after dividing the grade section be of moderate size, once load the task data in the grade section of needs, both the data that disposable loading is too much can have been avoided, also later stage frequent requests data can be avoided, and because the task data of the grade section after this grade section need not load, decrease resource occupation amount, solve in prior art the problem loading whole task data and cause redundant information too much, in addition, all task datas of the prior art are all write dead in configuration, cannot dynamic-configuration, for task description field, some critical data cannot be changed, thus become a new task, reusability is little, in embodiments of the present invention the task description of task is further subdivided into beginning language, middle language and conclusion, and by the beginning language index in dynamic data, the beginning language that this task is concrete can be selected arbitrarily in middle language index and conclusion index, middle language and conclusion, thus can the particular content of flexible configuration task, improve the reusability of the information in task description, and multiple-task can be produced based on a task data, enhance the diversity of task, randomness.
Embodiment three
See Fig. 4, embodiments provide a kind of client obtaining task data, can realize the method step in embodiment two, this client comprises:
Determination module 401, for determining the grade section at this grade place according to the grade of user and grade segment information;
Load-on module 402, for after determination module 401 determines grade section, loads the task data of all grades in this grade section;
Display module 403, is shown to user for the task data loaded by load-on module 402.
Further, see Fig. 5, load-on module 402, comprising:
Loading unit 402a, for loading the static data of the task of whole grade in this grade section, static data comprises task ID, task title and task description;
Acquiring unit 402b, for obtaining the dynamic data of the task of whole grade in this grade section, dynamic data comprises task ID, incentive goods, consumable articles and task description index;
Generation unit 402c, the task data that the software test data generation obtained for the static data that loads according to loading unit 402a and acquiring unit 402b is complete.
Wherein, alternatively, task description comprises: start language, middle language and conclusion, starts language, middle language and conclusion and is respectively one or more;
Correspondingly, task description index comprises: start language index, middle language index and conclusion index.
Further, generation unit 402c, specifically for according to the task ID in dynamic data, in this grade section loaded whole tasks of grade static data obtain the static data that task ID matches; According to the beginning language index in this dynamic data, middle language index and conclusion index, from the static data of this coupling obtain one or more accordingly language, middle language and conclusion; Task title in task ID in this dynamic data, incentive goods, consumable articles, this static data matched and the beginning language of acquisition, middle language and conclusion are combined, obtains complete task data.
Alternatively, see Fig. 6, this client also comprises:
Memory module 404, before determining grade section at determination module 401, prestore the grade segment information obtained from server, this grade segment information is carried out dividing obtaining according to user gradation number by server.
In sum, the embodiment of the present invention is by being divided into multiple grade section by the user gradation in Flash online game, task data is obtained according to the segmentation of grade section, load the whole task datas in whole game when playing and starting relative to prior art, effectively can reduce the data volume of the task data once loaded, reduce flow and CPU occupancy, user does not need to wait for long-time at loading interface, accelerate the display speed of task, improve Consumer's Experience, secondly, after dividing the grade section be of moderate size, once load the task data in the grade section of needs, both the data that disposable loading is too much can have been avoided, also later stage frequent requests data can be avoided, and because the task data of the grade section after this grade section need not load, decrease resource occupation amount, solve in prior art the problem loading whole task data and cause redundant information too much, in addition, all task datas of the prior art are all write dead in configuration, cannot dynamic-configuration, for task description field, some critical data cannot be changed, thus become a new task, reusability is little, in embodiments of the present invention the task description of task is further subdivided into beginning language, middle language and conclusion, and by the beginning language index in dynamic data, the beginning language that this task is concrete can be selected arbitrarily in middle language index and conclusion index, middle language and conclusion, thus can the particular content of flexible configuration task, improve the reusability of the information in task description, and multiple-task can be produced based on a task data, enhance the diversity of task, randomness.
It should be noted that: the client of the acquisition task data that above-described embodiment provides is when obtaining task data, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, inner structure by client is divided into different functional modules, to complete all or part of function described above.In addition, the client of the acquisition task data that above-described embodiment provides belongs to same design with the embodiment of the method obtaining task data, and its specific implementation process refers to embodiment of the method, repeats no more here.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. obtain a method for task data, it is characterized in that, described method comprises:
The grade section at described grade place is determined according to the grade of user and grade segment information;
Load the task data of all grades in described grade section;
Described task data is shown to described user.
2. method according to claim 1, is characterized in that, loads the task data of all grades in described grade section, comprising:
Load the static data of the task of all grades in described grade section, described static data comprises task identification, task title and task description;
Obtain the dynamic data of the task of all grades in described grade section, described dynamic data comprises task identification, incentive goods, consumable articles and task description index;
According to described static data and the complete task data of described software test data generation.
3. method according to claim 2, is characterized in that, described task description, comprising: start language, middle language and conclusion, described beginning language, middle language and conclusion are respectively one or more;
Correspondingly, described task description index, comprising: start language index, middle language index and conclusion index.
4. method according to claim 3, is characterized in that, according to described static data and the complete task data of described software test data generation, comprising:
According to the task identification in described dynamic data, in the described grade section loaded whole tasks of grade static data obtain the static data matched with task identification;
According to the beginning language index in described dynamic data, middle language index and conclusion index, from the static data of described coupling obtain one or more accordingly language, middle language and conclusion;
By the task identification in described dynamic data, incentive goods, consumable articles, described in task title in the static data that matches and the beginning language of acquisition, middle language and conclusion combine, obtain complete task data.
5. the method according to the arbitrary claim of claim 1-4, is characterized in that, before determining the grade section at described grade place, also comprises according to the grade of user and grade segment information:
Prestore the grade segment information obtained from server, described grade segment information is carried out dividing obtaining according to user gradation number by described server.
6. obtain a client for task data, it is characterized in that, described client comprises:
Determination module, for determining the grade section at described grade place according to the grade of user and grade segment information;
Load-on module, for after described determination module determination grade section, loads the task data of all grades in described grade section;
Display module, the task data for being loaded by described load-on module is shown to described user.
7. client according to claim 6, is characterized in that, described load-on module, comprising:
Loading unit, for loading the static data of the task of whole grade in described grade section, described static data comprises task identification, task title and task description;
Acquiring unit, for obtaining the dynamic data of the task of whole grade in described grade section, described dynamic data comprises task identification, incentive goods, consumable articles and task description index;
Generation unit, the task data that the software test data generation obtained for the static data that loads according to described loading unit and described acquiring unit is complete.
8. client according to claim 7, is characterized in that, described task description, comprising: start language, middle language and conclusion, described beginning language, middle language and conclusion are respectively one or more;
Correspondingly, described task description index, comprising: start language index, middle language index and conclusion index.
9. client according to claim 8, it is characterized in that, described generation unit, specifically for according to the task identification in described dynamic data, in the described grade section loaded whole tasks of grade static data obtain the static data matched with task identification; According to the beginning language index in described dynamic data, middle language index and conclusion index, from the static data of described coupling obtain one or more accordingly language, middle language and conclusion; By the task identification in described dynamic data, incentive goods, consumable articles, described in task title in the static data that matches and the beginning language of acquisition, middle language and conclusion combine, obtain complete task data.
10. the client according to the arbitrary claim of claim 6-9, is characterized in that, described client also comprises:
Memory module, for before described determination module determination grade section, prestore the grade segment information obtained from server, described grade segment information is carried out dividing obtaining according to user gradation number by described server.
CN201110331363.XA 2011-10-27 2011-10-27 Obtain method and the client of task data Active CN103093068B (en)

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CN103412760A (en) * 2013-08-23 2013-11-27 苏州辉游网络有限公司 Game taskbar
CN104980473B (en) * 2014-04-10 2019-02-15 博雅网络游戏开发(深圳)有限公司 UI resource loading method and system
CN104348666B (en) * 2014-10-16 2018-09-11 北京奇虎科技有限公司 Data capture method, apparatus and system
CN104606888A (en) * 2014-12-23 2015-05-13 北京像素软件科技股份有限公司 Management method and system for daily task events
CN104935501B (en) * 2015-06-16 2019-03-19 深圳市华阳信通科技发展有限公司 User is classified and realizes the system and method for classification information transmission
CN106790456A (en) * 2016-12-08 2017-05-31 广州爱九游信息技术有限公司 Mission Objective activity participatory approaches, device and service end
CN108549652B (en) * 2018-03-08 2021-10-29 北京三快在线科技有限公司 Hotel dynamic data acquisition method and device, electronic equipment and readable storage medium
CN109224440A (en) * 2018-08-24 2019-01-18 广州要玩娱乐网络技术股份有限公司 Mission Objective queue processing method and storage medium, computer equipment
CN110090438B (en) * 2019-04-19 2023-01-10 深圳市正易龙科技有限公司 Game loading method, device, terminal and computer readable storage medium

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