Information processing method and device, electronic equipment and storage medium

Abstract

The invention provides an information processing method and device, electronic equipment and a storage medium. The information processing method comprises the steps that in response to a first operation event, configuration information of a processing flow is set, and the configuration information comprises a triggering condition of the processing flow and a processing operation executed when the triggering condition is met; the set processing operation of the processing flow comprises the steps of generating target content through an artificial intelligence program; and in response to a second operation event, generating or updating the processing flow according to the configuration information of the processing flow.

Description

Technical Field

[0001] The present disclosure relates to the field of information processing technology, and in particular to an information processing method, device, electronic device and storage medium. Background Art

[0002] A processing flow generally includes a trigger condition and a processing operation. When the trigger condition is met, the processing operation will be executed. The trigger condition may include one or more conditions, and the processing operation may also include one or more operations. Summary of the invention

[0003] The present disclosure provides an information processing method, device, electronic device and storage medium.

[0004] The present disclosure adopts the following technical solutions.

[0005] In some embodiments, the present disclosure provides an information processing method, including:

[0006] In response to the first operation event, setting configuration information of the processing flow, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation performed when the trigger condition is met; the processing operation of the processing flow set includes: generating target content through an artificial intelligence program;

[0007] In response to a second operation event, the processing flow is generated or updated according to the configuration information of the processing flow.

[0008] In some embodiments, the present disclosure provides an information processing device, including:

[0009] A setting unit, configured to set configuration information of a processing flow in response to a first operation event, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation performed when the trigger condition is met; the processing operation of the processing flow set includes: generating target content through an artificial intelligence program;

[0010] The control unit is used to generate or update the processing flow according to the configuration information of the processing flow in response to the second operation event.

[0011] In some embodiments, the present disclosure provides an electronic device, comprising: at least one memory and at least one processor;

[0012] The memory is used to store program codes, and the processor is used to call the program codes stored in the memory to execute the above method.

[0013] In some embodiments, the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store program code, and when the program code is executed by a processor, the processor is prompted to perform the above method.

[0014] The information processing method provided by the embodiment of the present disclosure utilizes the content generation capability of an artificial intelligence program and adds a step of generating target content through an artificial intelligence program in the processing operation. The artificial intelligence program can process the input data that needs to be processed to generate the target content, thereby solving the problem that the operation of generating the target content cannot be performed through precise descriptions such as formulas and functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0016] Figure 1 It is a flowchart of the information processing method of the embodiment of the present disclosure.

[0017] Figure 2 It is a flowchart of the information processing method of the embodiment of the present disclosure.

[0018] Figures 3 to 9 It is a schematic diagram of a display interface of an embodiment of the present disclosure.

[0019] Fig.10 It is a schematic diagram of setting variables in input data according to an embodiment of the present disclosure.

[0020] Fig.11 It is a schematic diagram of setting variables in input data according to an embodiment of the present disclosure.

[0021] Fig.12 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0022] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0023] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0024] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0025] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0026] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0027] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0028] It should be understood that the various steps described in the method embodiments of the present disclosure can be performed in sequence and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0029] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0030] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0031] It should be noted that the modification of “one” mentioned in the present disclosure is illustrative rather than restrictive, and those skilled in the art should understand that it should be understood as “one or more” unless otherwise clearly indicated in the context.

[0032] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0033] The solution provided by the embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0034] The processing flow can be an automated process, which automatically executes the set processing operations when certain trigger conditions are met. The operations performed by the relevant processing flow are usually operations accurately described by formulas, functions, etc. However, users sometimes want to generate some types of content, such as text, pictures, videos, etc. These contents can be, for example, summary descriptions of situations, reports, etc. These texts that need to be generated cannot be clearly described by formulas, functions, etc., and the generation process often requires a certain degree of abstraction and summary capabilities.

[0035] like Figure 1 As shown, Figure 1 and Figure 2 It is a flowchart of the information processing method of an embodiment of the present disclosure, which includes the following steps.

[0036] S11. In response to a first operation event, setting configuration information of a processing flow, the configuration information including: a triggering condition of the processing flow and a processing operation executed when the triggering condition is met.

[0037] In some embodiments, the method proposed in the present disclosure can be used in electronic devices such as terminals and servers. The first operation event may include one or more operations. The first operation event may be, for example, an operation event for creating a new processing flow and setting its configuration information, or an operation event for editing the configuration information of an existing processing flow. That is, the processing flow may be a newly created processing flow or a previously existing processing flow. The configuration information of the processing flow includes a trigger condition and a processing operation, such as Figure 3 As shown, the trigger condition is Figure 3 The content corresponding to "When the following situation occurs" on the left side, the processing operation is Figure 3The content corresponding to "Perform the following operations" on the right. When the trigger condition is met, the processing operation of the processing flow will be executed. The trigger condition may include one or more conditions, such as record updates in a preset table, content changes under a specified field in a preset table, or a certain control is triggered. The processing operation of the processing flow set includes: generating target content through an artificial intelligence program. The target content may be text, pictures, videos and other content. The type of the target content may be fixed, and its specific content may be non-fixed. The target content generated by multiple executions of the processing operation may not be exactly the same. An artificial intelligence program (AI) may be a large model. When generating the target content, it is often obtained by summarizing, generalizing, abstracting, re-creating and other secondary processing of the input data. The input data may be the content of a specified field in a preset table, or it may be the content input by the user or the content output by other previous processing operations.

[0038] In some embodiments of the present disclosure, a first operation event is received in a table, and the first operation event is used to provide a page for setting configuration information of a processing flow. The triggering condition of the processing flow includes at least one of the following: adding or modifying the content in the table, the modified or newly added content in the table meets the preset condition, the time recorded in the table is reached, the preset time is reached, the insert button in the cell of the table is clicked, or the table receives a webhook. The processing operation performed when the triggering condition is met includes at least one of the following: sending an instant messaging message, sending an email, adding new content to the table, modifying content in the table, searching for content in the table, sending an HTTP request, delaying for a period of time to trigger the next step of the process, creating a schedule in the application, creating a task in the application, creating an instant messaging group in the application, and calling a plug-in configured in the table.

[0039] S12: In response to the second operation event, generate or update the processing flow according to the configuration information of the processing flow.

[0040] In some embodiments, the second operation event may include one or more operations, which may be, for example, an operation of saving and applying the settings of the configuration information. After the second operation event is executed, a new processing flow will be created according to the configuration information set by the user, or the configuration information of the existing processing flow will be updated.

[0041] In some embodiments of the present disclosure, when it is necessary to generate target content (such as text), it is often impossible to describe it through precise formulas, functions, etc. Therefore, in this embodiment, the generation capability of the artificial intelligence program is utilized to add a step of generating the target content through the artificial intelligence program in the processing operation. The artificial intelligence program can process the input data to be processed to generate the target content, thus solving the problem that the operation of generating the target content cannot be performed by precise description through formulas, functions, etc.

[0042] In some embodiments of the present disclosure, the triggering operation of the processing flow includes: the content in the preset table meets the set conditions, the preset control is triggered, or the preset operation is executed. The preset table, such as a table in a tabular document or a non-tabular document, displays its content in the form of records. A record is usually a row of content. Fields are attributes of cells, and field names are usually displayed in the form of column names. Users may input or modify the content in the table, or may click controls and other operations. Trigger conditions may include: new records are added to the preset table, a specified record is modified, a specified field in the preset table is modified, etc. In this embodiment, a processing flow may be set for the preset table, and a processing operation is performed when the data in the preset table meets the triggering conditions.

[0043] In some embodiments of the present disclosure, in response to a first operation event, configuration information of a processing flow is set, including: in response to a third operation event, determining that a processing operation includes: generating target content through an artificial intelligence program; in response to a fourth operation event, receiving a set requirement description; generating target content through an artificial intelligence program, including: generating target content that meets the requirement description through an artificial intelligence program.

[0044] In some embodiments, Figure 3 As shown in the figure, when setting the processing operation in the configuration information of the processing flow, you can select to generate the target content through the artificial intelligence program by clicking on the existing options or inputting. Specifically, you can add an artificial intelligence group to the selectable processing operations, and display the target content generated through artificial intelligence in the artificial intelligence group. You can also Figure 3 As shown, without setting AI grouping, the option of directly generating target content through AI program ( Figure 3 Generate text with AI in the Figure 3 After selecting Generate target content through an AI program, Figure 4 , an area for entering a requirement description will be displayed ( Figure 3 The text box below "Input Command" on the right side displays the prompt words for inputting the requirement description. Figure 3The prompt in the text is "Please describe the role played by AI, the data it needs to process, and the content it needs to generate." The requirement description can be a fuzzy description, which describes what the user needs the artificial intelligence program to generate. The target content to be generated can be described imprecisely in the requirement description, so that when executing the processing operation, the artificial intelligence program will generate the target content that meets the requirement description according to the requirement description. In this embodiment, the user can tell the artificial program what content needs to be generated by selecting an existing or inputting a requirement description. The requirement description can be described in natural language, which is more in line with the user's habits and uses the learning and understanding ability of the artificial intelligence program, thereby reducing the requirements on the user.

[0045] In some embodiments of the present disclosure, the requirement description includes: one or more of: a description of the role played by the artificial intelligence program, a description of the input data in the processing operation, a description of the target content generated by the artificial intelligence program, and a description of the restriction requirements. In some embodiments, the role played by the artificial intelligence program may refer to the identity adopted when generating the target content, such as an auditor, a financial staff, a warehouse manager, etc., which affects the tone, wording, etc. of the target content generated by the artificial intelligence program. In the process of generating the target content, the input data may be processed (e.g., analyzed, summarized), and the input data may be the basis for generating the target content. For example, the input data may be part or all of the content of a specified record in a preset table. The restriction requirements may be some restrictive conditions, such as certain content cannot be mentioned in the generated target content, which content needs to be described in detail, etc.

[0046] In some embodiments of the present disclosure, the requirement description includes: one or more variables. Specifically, the one or more variables may be located in the input data or in the generated target content. Figure 5 As shown, by triggering the circle with a plus sign inside, you can add variables to the requirement description. The variable can be a table variable, a picture, natural time, etc. The variable value of the variable can be determined when the processing operation is performed. For example, the variable can be the value of a specified field in a specified record in a preset document, or the current time when the processing operation is performed. Before the processing operation is performed, the value pointed to by the variable can be variable. For example, the variable points to a cell in a table. The value of the cell can change or even not exist before the processing operation is performed. The value of the variable is determined when the processing operation is performed. By using variables, users can set the requirement description more conveniently.

[0047] In some embodiments of the present disclosure, the one or more variables include one or more of the following: variables referring to one or more fields in one or more records in a preset table, variables referring to time, variables referring to files, variables referring to user input, and variables referring to input or output of a previous step. In some embodiments, the variable may select the same field in multiple records, for example Fig.10 As shown, a variable refers to the gender in the record found in step 2 (a step in the trigger condition). There are 5 records found in step 2. At this time, the variable type is the tenant field, the variable format can be list, and the variable value is {male, female, male, male, female}. It can be seen that the number of records in the multiple records may not be fixed, and it may depend on the number of contents in the previous step (for example, the trigger condition). In some other embodiments, such as Fig.11 As shown, a variable represents multiple fields in multiple records. At this time, the variable type is a combined field, and the variable format is a list, but the value in the list can be in JSON format. At this time, the specific variable value represented by the variable can be {data 1: (name: Zhang Yi, gender: male, age 20), data 2: (name: Zhang Er, gender: female, age 20), data 3: (name: Zhang San, gender: male, age 21)}. In this embodiment, variables referring to multiple records and multiple fields can be used to facilitate user operations. In addition, the variable can refer to a specific time, a specific file, or the content entered by the user. The variable can also refer to the input or output of the previous step. The previous step can be a step in the trigger condition, or it can be a step in the processing operation. For example, the trigger condition includes that the user enters content in a preset form, and the input of the previous step can be the content entered in the trigger condition. In addition, the processing operation can include one or more other operations, and the other operations can be located before the target content is generated by the artificial intelligence program. For example, if the content is output in other operations, then the content can be referred to by the variable, so as to be used when the target content is generated by the artificial intelligence program.

[0048] In some embodiments of the present disclosure, in response to a first operation event, setting configuration information of a processing flow also includes: after receiving a requirement description, in response to a fifth operation event, optimizing the requirement description through an artificial intelligence program, generating and displaying a recommended requirement description.

[0049] In some embodiments, Figure 6 As shown, the display interface of the configuration information of the processing flow has a first control ( Figure 6 By clicking on the first control, the input requirement description can be optimized, and the optimized requirement description will be displayed as a recommended requirement description. Figure 6 After the first control shown, Figure 7The pop-up window where the polishing instruction is located is shown, and the polished requirement description (i.e., the recommended requirement description) can be displayed in the pop-up window. At this time, the requirement description has not been changed. By using an artificial intelligence program to optimize the requirement description, the user's needs can be better described. The user can make changes based on the recommended requirement description as the requirement description, which can help the user express himself when the user is not good at speaking.

[0050] In some embodiments of the present disclosure, the recommended requirement description is displayed through streaming output, and the recommended requirement description is displayed while being generated. In some embodiments, during the generation process of the recommended requirement description, the first control for optimizing the requirement description is not available because the requirement description is being generated at this time and the optimization cannot be repeated. In some embodiments, during the generation process of the recommended requirement description, the requirement description cannot be modified. If the requirement description is changed, it may cause the recommended requirement description to not match the modified requirement description.

[0051] In some embodiments of the present disclosure, after generating and displaying the recommended requirement description, it also includes: in response to a sixth operation event, replacing the requirement description with the recommended requirement description; or, in response to a seventh operation event, regenerating the recommended requirement description and displaying the regenerated recommended requirement description; or, in response to an eighth operation event, stopping displaying the recommended requirement description and retaining the requirement description.

[0052] In some embodiments, Figure 7 As shown, a "Replace" control is displayed in the area where the recommended requirement description is located. The sixth operation event may be to trigger the control, and the requirement description may be automatically replaced with the recommended requirement description and displayed in the input box for inputting the requirement description. Figure 7 As shown, "Retry" and "Cancel" controls are also displayed. The seventh operation event can be a triggering retry control. The retry control can be triggered by clicking or the like. The recommended requirement description will be regenerated and displayed based on the current requirement description. If the requirement description has not changed, the recommended requirement description regenerated by the seventh operation event can also be different from the previous recommended requirement description. In this way, by regenerating the requirement description multiple times, the user may not be satisfied without changing the requirement description and it may be randomly consistent with the user's expectations. The eighth operation event can be a triggering cancel control. The cancel control can be triggered by clicking or the like. The display of the recommended requirement description will not be affected. If there is no content in the input box for entering the requirement description, the first control may not be triggered. When the control mark hovers over the first control, a prompt message may be displayed. The prompt message is used to prompt the user to optimize through the first control after entering the requirement description.

[0053] In some embodiments of the present disclosure, in response to a first operation event, after setting the configuration information of the processing flow, and in response to a second operation event, before generating or updating the processing flow according to the configuration information of the processing flow, it also includes: in response to a ninth operation event, performing a simulation test on the processing operation, and displaying a preview of the test results of the simulation test of the processing operation; wherein the test results include: the target content generated by the artificial intelligence program in this simulation test.

[0054] In some embodiments, after the configuration information is set, before the processing flow is enabled, a simulation test can be performed on the processing flow in order to test its effect. This allows the simulation test to discover possible problems as early as possible and determine whether the expected effect is the same as the user's expected effect without affecting other data. When performing a simulation test, the trigger condition can be met in an independent closed storage space through real or randomly generated content, thereby executing the processing operation, and the execution result of the processing operation in this simulation test is the test result. The test results include the content generated by the artificial intelligence program in the simulation test. The simulation test allows the user to more intuitively feel whether the content generated by the artificial intelligence program is the same as what he expected, thereby facilitating the user to adjust the configuration information (such as the demand description) when expectations are different.

[0055] In some embodiments, Figure 7 As shown, by clicking Figure 7 The "Test Generation" result on the right side can simulate the processing flow, such as Figure 8 As shown, the test results can be displayed in the pop-up interface. By providing the function of simulating the processing flow, the execution effect of the processing flow can be viewed without generating a new processing flow or changing the existing processing flow, which greatly facilitates the user's operation. If the test result is not satisfactory, you can return to the configuration interface of the processing flow to change it, which greatly improves the convenience and will not affect the stored data during the simulation test.

[0056] In some embodiments of the present disclosure, while displaying a preview of the test results of the simulation test, one or more of the following are also displayed: a requirement description, a second control for optimizing the requirement description, input data used in this simulation test, and a control for re-performing the simulation test.

[0057] In some embodiments, Figure 8 As shown, in the interface showing the test interface, the requirement description is also displayed ( Figure 8 The left area of ​​the pop-up window), the input data used in this simulation test ( Figure 8In this way, users can check whether the requirement description matches the test result and whether the requirement description needs to be changed. The displayed requirement description can be changed, for example, it can be manually edited or automatically optimized, for example, a second control ( Figure 8 The second control can be triggered by clicking on it to optimize the requirement description. The displayed test results can be regenerated, such as Figure 8 The "Regenerate" control on the right can be triggered to re-simulate the processing flow, so that the corresponding test results can be directly generated after the requirement description table is updated.

[0058] In some embodiments of the present disclosure, the values ​​of the input data used in this simulation test may be changed. Figure 8 As shown, the part thereof shows the input data used in this simulation test, including the customer level, feedback content and other information in data 1. The input content can be changed by manual editing, etc., and then the test results can be regenerated in combination with the controls used to re-run the simulation test, so that users can compare the test results under different input data.

[0059] In some embodiments of the present disclosure, the requirement description (eg, input data) of a processing operation includes one or more variables, such as Figure 8 In the requirement description on the left side, there are "product information when step 1 is triggered", "combination fields of records to be found in step 2", and "historical performance of records to be found in step 3", where "product information", "combination fields" and "historical performance of records" are three fields in the table, and variables are used here to refer to the cell values ​​of these fields in specific records. For the specific values ​​of the variables, randomly generated variable values ​​can be used. In other embodiments, in the input data used in this simulation test, the variable value of the variable is determined according to the content type of the content referred to by the variable. Variables of different content types can select actual values ​​or simulated values. Specifically, it is possible to preferentially obtain actual values ​​when there are actual values, and use simulated values ​​when there are no actual values.

[0060] In some embodiments of the present disclosure, the variable value of the variable used in this simulation test is determined according to the content type of the content referred to by the variable, including: in response to the variable referring to non-array type content in the table record, if there is an actual value of the non-array type in the table record, the actual value of the non-array type is obtained as the variable value, or, if there is no actual value of the non-array type in the table record, a simulation value of the non-array type is generated as the variable value; or, in response to the variable referring to array type content in the table record, if there is an actual value of the array type in the table record, a preset number of actual values ​​of the array type are obtained or repeatedly obtained until a preset number of actual values ​​of the array type are obtained as the variable value, or, if there is no actual value of the array type in the table record, a simulation value of the array type is generated as the variable value; or, in response to the variable referring to non-table content, a simulation value of the content type of the content referred to by the variable is generated as the variable value.

[0061] In some embodiments, for a variable, if it refers to a non-array type content (such as a field in a record) representing a cell record (a record in a table), the first non-array type actual value will be obtained as the variable value. If there is no actual value of the non-array type content in the table record, then the non-array type simulation value can be randomly generated. Similarly, if the variable refers to the array type content (such as a combination field, table column, etc.) representing a cell record, the array type actual value is also obtained first. The array type usually requires multiple data, and the number is a preset number, which can be 5. At this time, an attempt will be made to obtain the first 5 actual values. If there are actual values, but the number of actual values ​​is less than 5, then the actual values ​​will be repeatedly obtained until the number of actual values ​​obtained is 5. For example, if there is only 1 actual value, the actual value will be repeatedly obtained 5 times. If the variable does not refer to table-related content, such as natural time, pictures, or the output of a certain step, then the simulation value of the variable will be directly generated. For variables that refer to table records, in this embodiment, the actual values ​​in the table records are preferred, so that the generated test results are more realistic, while for variables that refer to non-table related content, simulated values ​​are used, so that different situations can be simulated, thereby ensuring that the test results are as realistic as possible and simulating different scenarios. If there is no variable in the requirement description, this can directly generate the test results.

[0062] In some embodiments of the present disclosure, after a processing flow is generated or updated, a function card associated with the processing flow will be generated or updated, and the function card is used to enable or disable the processing flow (for example, a switch control is displayed on the function card), and a description of the processing operation of the processing flow is displayed in the function card. In this way, the processing operation of the processing flow can be directly seen on the function card, so that it is convenient for the user to confirm whether to enable the processing flow.

[0063] In some embodiments of the present disclosure, the processing operations performed when the trigger condition is met include at least one of the following: recording the target content generated by the artificial intelligence program in a cell in a table that matches the trigger condition; sending the target content generated by the artificial intelligence program to an object that matches the trigger condition in the form of an instant communication message; sending the target content generated by the artificial intelligence program to an object that matches the trigger condition in the form of an email; creating a schedule, task, or instant communication group in the target application based on the target content generated by the artificial intelligence program.

[0064] In some embodiments, when the trigger conditions are met, the target content can be generated by an artificial intelligence program, and some other operations can also be performed. These other operations can be set when setting the configuration information, such as recording the target content in a table, and the recorded location can match the trigger conditions. For example, if the trigger conditions include input, selection, search or click on a field, the target content can be recorded in the cell of the field. The target content can be sent to a specified object in the form of an instant messaging message or email. The object can be an object that matches the trigger conditions, that is, the object sent to is related to the trigger conditions. For example, the object can be a person who satisfies the trigger conditions, or the object can be a person or group mentioned in the trigger conditions. In other embodiments, a schedule, task or instant messaging group can be created based on the target content. For example, the target content is text, and the text can include suggestions. A schedule or task for executing the suggestion can be created for these people based on the people associated with the suggestion, or these people can be added to an instant messaging group.

[0065] In some embodiments of the present disclosure, an information processing device is also provided, including:

[0066] A setting unit, configured to set configuration information of a processing flow in response to a first operation event, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation executed when the trigger condition is met;

[0067] A control unit, configured to generate or update a processing flow according to configuration information of the processing flow in response to a second operation event;

[0068] Among them, the processing operations of the generated or updated processing flow include: generating target content through an artificial intelligence program.

[0069] For the embodiments of the device, since they basically correspond to the method embodiments, the relevant parts refer to the partial description of the method embodiments. The device embodiments described above are merely illustrative, wherein the modules described as separation modules may or may not be separated. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of the present embodiment. Those of ordinary skill in the art can understand and implement without paying creative work.

[0070] The method and device of the present disclosure are described above based on the embodiments and application examples. In addition, the present disclosure also provides an electronic device and a computer-readable storage medium, which are described below.

[0071] Reference below Fig.12 , which shows a schematic diagram of the structure of an electronic device (such as a terminal device or a server) 800 suitable for implementing the embodiment of the present disclosure. The terminal device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device shown in the figure is only an example and should not bring any limitation to the functions and scope of use of the embodiment of the present disclosure.

[0072] The electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0073] Typically, the following devices may be connected to the I / O interface 805: input devices 806 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 808 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 800 with various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0074] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 809, or installed from a storage device 808, or installed from a ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0075] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0076] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText TransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0077] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0078] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method of the present disclosure.

[0079] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0080] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0081] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, limit the unit itself.

[0082] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0083] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0084] According to one or more embodiments of the present disclosure, there is provided an information processing method, including:

[0085] In response to the first operation event, setting configuration information of the processing flow, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation performed when the trigger condition is met. The processing operation of the processing flow set includes: generating target content through an artificial intelligence program;

[0086] In response to a second operation event, the processing flow is generated or updated according to the configuration information of the processing flow.

[0087] According to one or more embodiments of the present disclosure, there is provided an information processing method, in response to a first operation event, setting configuration information of a processing flow, comprising: in response to a third operation event, determining that the processing operation comprises: generating target content through an artificial intelligence program; in response to a fourth operation event, receiving a set requirement description;

[0088] The generating the target content by using an artificial intelligence program includes: generating the target content that meets the requirement description by using an artificial intelligence program.

[0089] According to one or more embodiments of the present disclosure, there is provided an information processing method, wherein the requirement description includes one or more of: a description of the role played by the artificial intelligence program, a description of input data in the processing operation, a description of target content generated by the artificial intelligence program, and a description of restriction requirements;

[0090] and / or,

[0091] The requirement description includes: one or more variables.

[0092] According to one or more embodiments of the present disclosure, an information processing method is provided, wherein one or more variables include one or more of the following: a variable referring to one or more fields in one or more records in a preset table, a variable referring to time, a variable referring to a file, a variable referring to user input, and a variable referring to the output of a previous step.

[0093] According to one or more embodiments of the present disclosure, there is provided an information processing method, which sets configuration information of a processing flow in response to a first operation event, and also includes: after receiving a requirement description, in response to a fifth operation event, optimizing the requirement description through an artificial intelligence program, generating and displaying a recommended requirement description.

[0094] According to one or more embodiments of the present disclosure, an information processing method is provided, which satisfies at least one of the following conditions:

[0095] Displaying the recommended requirement description through streaming output;

[0096] During the generation of the recommended requirement description, a first control for optimizing the requirement description is unavailable;

[0097] During the generation process of the recommended requirement description, the requirement description cannot be modified;

[0098] After generating and displaying the recommended requirement description, it also includes: in response to a sixth operation event, replacing the requirement description with the recommended requirement description; or, in response to a seventh operation event, regenerating the recommended requirement description and displaying the regenerated recommended requirement description; or, in response to an eighth operation event, stopping displaying the recommended requirement description and retaining the requirement description.

[0099] According to one or more embodiments of the present disclosure, there is provided an information processing method, which, after setting configuration information of a processing flow in response to a first operation event, and before generating or updating the processing flow according to the configuration information of the processing flow in response to a second operation event, further comprises:

[0100] In response to the ninth operation event, a simulation test is performed on the processing operation, and a preview of the test result of the simulation test of the processing operation is displayed; wherein the test result includes: target content generated by the artificial intelligence program in this simulation test.

[0101] According to one or more embodiments of the present disclosure, an information processing method is provided, which, while displaying a preview of the test results of the simulation test, also displays one or more of the following: a requirement description, a second control for optimizing the requirement description, input data used in this simulation test, and a control for re-performing the simulation test.

[0102] According to one or more embodiments of the present disclosure, an information processing method is provided, which satisfies one or more of the following conditions:

[0103] The values ​​of the input data used in this simulation test can be changed;

[0104] The requirement description of the processing operation includes one or more variables, and the variable values ​​of the variables used in this simulation test are determined according to the content type of the content referred to by the variable.

[0105] According to one or more embodiments of the present disclosure, an information processing method is provided, wherein the variable value of the variable used in this simulation test is determined according to the content type of the content referred to by the variable, including:

[0106] In response to the variable referring to non-array type content in a table record, if there is an actual value of the non-array type in the table record, obtaining the actual value of the non-array type as the variable value, or, if there is no actual value of the non-array type in the table record, generating a simulated value of the non-array type as the variable value;

[0107] or,

[0108] In response to the variable indicating the content of the array type in the table record, if there is an actual value of the array type in the table record, obtaining a preset number of actual values ​​of the array type or repeatedly obtaining until a preset number of actual values ​​of the array type are obtained as the variable value, or if there is no actual value of the array type in the table record, generating a simulated value of the array type as the variable value;

[0109] or,

[0110] In response to the variable referring to non-table content, a simulated value of the content type of the content referred to by the variable is generated as the variable value.

[0111] According to one or more embodiments of the present disclosure, an information processing method is provided, wherein the triggering operation of the processing flow includes:

[0112] The content in the preset table meets the set conditions, the preset control is triggered, or the preset operation is executed.

[0113] According to one or more embodiments of the present disclosure, an information processing method is provided, wherein the processing operation performed when the trigger condition is met includes at least one of the following:

[0114] Recording the target content generated by the artificial intelligence program into the cell in the table that matches the trigger condition;

[0115] Sending the target content generated by the artificial intelligence program to an object matching the trigger condition in the form of an instant messaging message;

[0116] Sending the target content generated by the artificial intelligence program to the object matching the trigger condition in the form of an email;

[0117] A schedule, task or instant messaging group is created in a target application based on the target content generated by an artificial intelligence program.

[0118] According to one or more embodiments of the present disclosure, there is provided an information processing device, including:

[0119] A setting unit, configured to set configuration information of a processing flow in response to a first operation event, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation performed when the trigger condition is met; the processing operation of the processing flow set includes: generating target content through an artificial intelligence program;

[0120] The control unit is used to generate or update the processing flow according to the configuration information of the processing flow in response to the second operation event.

[0121] In some embodiments, in response to the first operation event, setting configuration information of the processing flow includes: in response to the third operation event, determining that the processing operation includes generating target content through an artificial intelligence program; in response to the fourth operation event, receiving a description of the requirements for the setting;

[0122] The generating the target content by using an artificial intelligence program includes: generating the target content that meets the requirement description by using an artificial intelligence program.

[0123] In some embodiments, the requirement description includes one or more of: a description of the role played by the artificial intelligence program, a description of the input data in the processing operation, a description of the target content generated by the artificial intelligence program, and a description of the restriction requirements.

[0124] In some embodiments, the requirement description includes: one or more variables.

[0125] In some embodiments, the one or more variables include one or more of the following: variables referring to one or more fields in one or more records in a preset table, variables referring to time, variables referring to files, variables referring to user input, and variables referring to the output of the previous step.

[0126] In some embodiments, in response to a first operation event, setting configuration information of a processing flow also includes: after receiving a requirement description, in response to a fifth operation event, optimizing the requirement description through an artificial intelligence program, generating and displaying a recommended requirement description.

[0127] In some embodiments, at least one of the following is satisfied:

[0128] Displaying the recommended requirement description through streaming output;

[0129] During the generation of the recommended requirement description, a first control for optimizing the requirement description is unavailable;

[0130] During the generation process of the recommended requirement description, the requirement description cannot be modified;

[0131] After generating and displaying the recommended requirement description, the setting unit is also used to: in response to a sixth operation event, replace the requirement description with the recommended requirement description; or, in response to a seventh operation event, regenerate the recommended requirement description and display the regenerated recommended requirement description; or, in response to an eighth operation event, stop displaying the recommended requirement description and retain the requirement description.

[0132] In some embodiments, in response to a first operation event, after setting the configuration information of the processing flow, and in response to a second operation event, before generating or updating the processing flow according to the configuration information of the processing flow, the setting unit is also used to: in response to a ninth operation event, perform a simulation test on the processing operation, and display a preview of the test results of the simulation test of the processing operation; wherein the test results include: the target content generated by the artificial intelligence program in this simulation test.

[0133] In some embodiments, while displaying a preview of the test results of the simulation test, one or more of the following are also displayed: a requirement description, a second control for optimizing the requirement description, input data used in this simulation test, and a control for re-performing the simulation test.

[0134] In some embodiments, the values ​​of the input data used in this simulation test can be changed.

[0135] In some embodiments, the requirement description of the processing operation includes one or more variables, and the variable values ​​of the variables used in this simulation test are determined according to the content type of the content referred to by the variable.

[0136] In some embodiments, the variable value of the variable used in this simulation test is determined according to the content type of the content referred to by the variable, including:

[0137] In response to the variable referring to non-array type content in a table record, if there is an actual value of the non-array type in the table record, obtaining the actual value of the non-array type as the variable value, or, if there is no actual value of the non-array type in the table record, generating a simulated value of the non-array type as the variable value;

[0138] or,

[0139] In response to the variable indicating the content of the array type in the table record, if there is an actual value of the array type in the table record, obtaining a preset number of actual values ​​of the array type or repeatedly obtaining until a preset number of actual values ​​of the array type are obtained as the variable value, or if there is no actual value of the array type in the table record, generating a simulated value of the array type as the variable value;

[0140] or,

[0141] In response to the variable referring to non-table content, a simulated value of the content type of the content referred to by the variable is generated as the variable value.

[0142] In some embodiments, the triggering operation of the processing flow includes:

[0143] The content in the preset table meets the set conditions, the preset control is triggered, or the preset operation is executed.

[0144] In some embodiments, the processing operation performed when the trigger condition is met includes at least one of the following:

[0145] Recording the target content generated by the artificial intelligence program into the cell in the table that matches the trigger condition;

[0146] Sending the target content generated by the artificial intelligence program to an object matching the trigger condition in the form of an instant messaging message;

[0147] Sending the target content generated by the artificial intelligence program to the object matching the trigger condition in the form of an email;

[0148] A schedule, task or instant messaging group is created in a target application based on the target content generated by an artificial intelligence program.

[0149] According to one or more embodiments of the present disclosure, there is provided an electronic device, including: at least one memory and at least one processor;

[0150] The at least one memory is used to store program codes, and the at least one processor is used to call the program codes stored in the at least one memory to execute any one of the above methods.

[0151] According to one or more embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium is used to store program code, and when the program code is executed by a processor, the processor is prompted to execute the above method.

[0152] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0153] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0154] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

Claims

1. An information processing method, characterized in that: include: In response to the first operation event, setting configuration information of the processing flow, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation executed when the trigger condition is met; The processing operations of the processing flow are set to include: generating target content through an artificial intelligence program; In response to a second operation event, the processing flow is generated or updated according to the configuration information of the processing flow.

2. The method according to claim 1, characterized in that In response to the first operation event, setting configuration information of the processing flow includes: in response to the third operation event, determining that the processing operation includes generating target content through an artificial intelligence program; in response to the fourth operation event, receiving a description of the requirements for the setting; The generating the target content by using an artificial intelligence program includes: generating the target content that meets the requirement description by using an artificial intelligence program.

3. The method according to claim 2, characterized in that The requirement description includes: one or more of a description of the role played by the artificial intelligence program, a description of input data in the processing operation, a description of target content generated by the artificial intelligence program, and a description of restriction requirements; and / or, The requirement description includes: one or more variables.

4. The method according to claim 3, characterized in that The one or more variables include one or more of the following: variables referring to one or more fields in one or more records in a preset table, variables referring to time, variables referring to files, variables referring to user input, and variables referring to outputs of previous steps.

5. The method according to claim 2, characterized in that: In response to the first operation event, setting the configuration information of the processing flow also includes: after receiving the requirement description, in response to the fifth operation event, optimizing the requirement description through an artificial intelligence program, generating and displaying a recommended requirement description.

6. The method according to claim 5, characterized in that Satisfy at least one of the following: Displaying the recommended requirement description through streaming output; During the generation of the recommended requirement description, a first control for optimizing the requirement description is unavailable; During the generation process of the recommended requirement description, the requirement description cannot be modified; After generating and displaying the recommended requirement description, the method further includes: in response to a sixth operation event, replacing the requirement description with the recommended requirement description; Alternatively, in response to the seventh operation event, the recommended requirement description is regenerated and the regenerated recommended requirement description is displayed; or, in response to the eighth operation event, the recommended requirement description is stopped from being displayed and the requirement description is retained.

7. The method according to any one of claims 1 to 6, characterized in that: After setting the configuration information of the processing flow in response to the first operation event, and before generating or updating the processing flow according to the configuration information of the processing flow in response to the second operation event, the method further includes: In response to the ninth operation event, a simulation test is performed on the processing operation, and a preview of the test result of the simulation test of the processing operation is displayed; wherein the test result includes: target content generated by the artificial intelligence program in this simulation test.

8. The method according to claim 7, characterized in that While displaying a preview of the test results of the simulation test, one or more of the following are also displayed: a requirement description, a second control for optimizing the requirement description, input data used in this simulation test, and a control for re-performing the simulation test.

9. The method according to claim 7, characterized in that: Satisfy one or more of the following: The values ​​of the input data used in this simulation test can be changed; The requirement description of the processing operation includes one or more variables, and the variable values ​​of the variables used in this simulation test are determined according to the content type of the content referred to by the variable.

10. The method according to claim 9, characterized in that The variable values ​​used in this simulation test are determined according to the content type of the content referred to by the variable, including: In response to the variable referring to non-array type content in a table record, if there is an actual value of the non-array type in the table record, obtaining the actual value of the non-array type as the variable value, or, if there is no actual value of the non-array type in the table record, generating a simulated value of the non-array type as the variable value; or, In response to the variable indicating the content of the array type in the table record, if there is an actual value of the array type in the table record, obtaining a preset number of actual values ​​of the array type or repeatedly obtaining until a preset number of actual values ​​of the array type are obtained as the variable value, or if there is no actual value of the array type in the table record, generating a simulated value of the array type as the variable value; or, In response to the variable referring to non-table content, a simulated value of the content type of the content referred to by the variable is generated as the variable value.

11. The method according to claim 1, characterized in that: The triggering operations of the processing flow include: The content in the preset table meets the set conditions, the preset control is triggered, or the preset operation is executed.

12. The method according to claim 1, characterized in that The processing operation performed when the trigger condition is met includes at least one of the following: Recording the target content generated by the artificial intelligence program into the cell in the table that matches the trigger condition; Sending the target content generated by the artificial intelligence program to an object matching the trigger condition in the form of an instant messaging message; Sending the target content generated by the artificial intelligence program to the object matching the trigger condition in the form of an email; A schedule, task or instant messaging group is created in a target application based on the target content generated by an artificial intelligence program.

13. An information processing device, characterized in that: include: A setting unit, configured to set configuration information of a processing flow in response to a first operation event, wherein the configuration information includes: a trigger condition of the processing flow and a processing operation performed when the trigger condition is met; the processing operation of the processing flow set includes: generating target content through an artificial intelligence program; The control unit is used to generate or update the processing flow according to the configuration information of the processing flow in response to the second operation event.

14. An electronic device comprising: at least one memory and at least one processor; The at least one memory is used to store program code, and the at least one processor is used to call the program code stored in the at least one memory to execute the method according to any one of claims 1 to 12. 15 . A computer-readable storage medium, the computer-readable storage medium being used to store program code, wherein when the program code is executed by a processor, the processor is prompted to execute the method according to claim 1 .

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