Auxiliary generation processing method and device for macroeconomic research report and related equipment

Abstract

The invention provides a macroeconomic research report auxiliary generation processing method, a macroeconomic research report auxiliary generation processing device and related equipment, and aims to solve the problem of poor macroeconomic research report auxiliary generation effect in the prior art. And based on the large model agent and according to the macroeconomic research cue word, generating viewpoints and analysis logic contents, then filling the viewpoints and analysis logic contents into a preset macroeconomic research report template, generating an intermediate macroeconomic research report, and continuously updating the intermediate macroeconomic research report until the generation is ended. The auxiliary generation of the macroeconomic research report is realized, viewpoints and analysis logic contents can be automatically generated, the auxiliary generation efficiency and effect of the macroeconomic research report are improved, and the method can be applied to the field of financial science and technology.

Description

Technical Field

[0001] The present application relates to the field of financial technology, and in particular to a method, device, computer equipment and computer-readable storage medium for assisting in the generation and processing of macroeconomic research reports. Background Art

[0002] Investment research can generally be divided into macro research, meso research, and micro research. Among them, macro research mainly focuses on the overall economic conditions, trends, and cycles of a country or region. Macroeconomic research reports are the main output and display form of macro research results.

[0003] Macroeconomic research reports can be generated using an auxiliary generation method, that is, using corresponding computer technology to automatically generate preliminary macroeconomic research reports. Traditional macroeconomic research report generation auxiliary solutions include Excel plug-ins and WEB research report writing platforms. The principles of the two are basically the same. They are mainly based on preset document templates to simply fill in economic data indicators and charts. However, due to the lack of sufficient flexibility of the document template itself, the above solutions result in the generated macroeconomic research report having a relatively simple structure and can only fill in some data and charts. In addition, since macro research does not only require the generation of simple linear content, after the auxiliary generation of the macroeconomic research report, it still takes a lot of time and energy to make major modifications to the macroeconomic research report, which greatly increases labor costs and reduces the efficiency and effectiveness of the completion of the macroeconomic research report.

[0004] In addition, traditional macroeconomic research report auxiliary solutions use specific economic data indicators and specific charts to generate reports. The reference data source is relatively single, which makes the generated macroeconomic research reports easily one-sided and requires manual rewriting or new document templates, resulting in a decline in the quality and objectivity of macroeconomic research reports, and increased labor costs, further reducing the efficiency and effectiveness of the completion of macroeconomic research reports.

[0005] Therefore, how to efficiently assist in generating macroeconomic research reports has become a technical problem that urgently needs to be solved. Summary of the Invention

[0006] The present application provides a method, apparatus, computer equipment and computer-readable storage medium for auxiliary generation of macroeconomic research reports, which can solve the technical problem of poor auxiliary generation effect of macroeconomic research reports in traditional technologies.

[0007] In the first aspect, the present application provides a method for auxiliary generation of macroeconomic research reports, including: responding to the start instruction of the preset generation task corresponding to the assisted generation of the macroeconomic research report, determining the preset macroeconomic research report template corresponding to the assisted generation of the macroeconomic research report, wherein the preset macroeconomic research report template includes the preset viewpoint and analysis logic content mark corresponding to the preset macroeconomic viewpoint and analysis logic content item; determining the macroeconomic research prompt word, and determining the large model intelligent body; based on the large model intelligent body, and according to the macroeconomic research prompt word, generating the viewpoint and analysis logic content corresponding to the preset macroeconomic viewpoint and analysis logic content item; according to the preset viewpoint and analysis logic content mark, filling the viewpoint and analysis logic content into the preset macroeconomic research report template to generate an intermediate macroeconomic research report; according to the preset generation task, updating the viewpoint and analysis logic content, and updating the intermediate macroeconomic research report, until the preset generation task is terminated, and obtaining a draft of the macroeconomic research report.

[0008] In the second aspect, the present application provides a macroeconomic research report auxiliary generation processing device, including: a first determination unit, used to respond to the start instruction of the preset generation task corresponding to the macroeconomic research report auxiliary generation, and determine the preset macroeconomic research report template corresponding to the macroeconomic research report auxiliary generation, wherein the preset macroeconomic research report template includes the preset viewpoint and analysis logic content mark corresponding to the preset macroeconomic viewpoint and analysis logic content item; a second determination unit, used to determine the macroeconomic research prompt word and determine the large model intelligent body; a first generation unit, used to generate the viewpoint and analysis logic content corresponding to the preset macroeconomic viewpoint and analysis logic content item based on the large model intelligent body and according to the macroeconomic research prompt word; a first filling unit, used to fill the viewpoint and analysis logic content into the preset macroeconomic research report template according to the preset viewpoint and analysis logic content mark to generate an intermediate macroeconomic research report; a first updating unit, used to update the viewpoint and analysis logic content according to the preset generation task, and update the intermediate macroeconomic research report until the preset generation task is terminated, and a draft of the macroeconomic research report is obtained.

[0009] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the macroeconomic research report auxiliary generation processing method are implemented.

[0010] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the macroeconomic research report auxiliary generation processing method.

[0011] The present application provides a method, apparatus, computer device and computer-readable storage medium for auxiliary generation of macroeconomic research reports. The method automatically generates viewpoints and analytical logic content based on a preset macroeconomic research report template containing preset macroeconomic viewpoints and analytical logic content items, then fills the viewpoints and analytical logic content into the preset macroeconomic research report template to generate an intermediate macroeconomic research report, and continuously updates the intermediate macroeconomic research report until the generation is terminated, thereby obtaining a first draft of the macroeconomic research report, realizing the auxiliary generation of the macroeconomic research report, and being able to automatically generate viewpoints and analytical logic content so that the assisted generated macroeconomic research report reflects the macroeconomic viewpoints and corresponding logical reasoning and analysis that macroeconomic research pays more attention to, thereby solving the problem that it is difficult to complete the generation of nonlinear content such as logical reasoning and analytical ideas in the traditional auxiliary generation of macroeconomic research reports, and can improve the comprehensiveness, objectivity and report quality of the assisted generated macroeconomic research report, and improve the efficiency and effect of the assisted generation of the macroeconomic research report, so that the assisted generation of the macroeconomic research report can be more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research report is more efficient and more in line with reality. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0013] Figure 1 A flowchart of a method for assisting in the generation of a macroeconomic research report according to an embodiment of the present application;

[0014] Figure 2 A schematic diagram of the system framework flow of the macroeconomic research report auxiliary generation processing method provided in an embodiment of the present application;

[0015] Figure 3 A schematic diagram of the first sub-flow of the macroeconomic research report auxiliary generation processing method provided in an embodiment of the present application;

[0016] Figure 4 A schematic diagram of the second sub-flow of the macroeconomic research report auxiliary generation processing method provided in an embodiment of the present application;

[0017] Figure 5 A schematic block diagram of a macroeconomic research report auxiliary generation and processing device provided in an embodiment of the present application;

[0018] Figure 6 A schematic block diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0020] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0021] An embodiment of the present application provides a method for assisting in the generation and processing of macroeconomic research reports. The method can be applied to computer devices including but not limited to smartphones, tablet computers, laptop computers, desktop computers, servers, and the like, and can be used in assisting in the generation and processing of macroeconomic research reports in fields including but not limited to finance.

[0022] Faced with the technical problem of poor auxiliary generation effect of macroeconomic research reports in traditional technologies, the inventors proposed the auxiliary generation processing method of macroeconomic research reports in the embodiment of the present application. The core idea of ​​the embodiment of the present application is: pre-setting a macroeconomic research report template, that is, pre-setting a macroeconomic research report template, the pre-setting macroeconomic research report template contains macroeconomic viewpoints and analytical logic content, and based on editing macroeconomic research prompt words and arranging a large model Agent, automatically generate a macroeconomic research task plan corresponding to the logical reasoning task of the macroeconomic viewpoint, and then automatically generate corresponding macroeconomic viewpoints and analytical logic content according to the macroeconomic research task plan, so that the assisted generation of the macroeconomic research report reflects the macroeconomic viewpoints that macroeconomic research pays more attention to and its corresponding logical reasoning and analysis, to solve the problem that it is difficult to complete the generation of nonlinear content such as logical reasoning and analytical ideas in the traditional auxiliary generation of macroeconomic research reports.

[0023] Furthermore, based on the update of macroeconomic research prompt words and the layout update of the large model agent, it is possible to fully utilize a large number of constantly changing external research reports and external data, and also to improve the adjustment flexibility of the generation of macroeconomic research reports. Compared with traditional technologies that can only adjust the results of macroeconomic research reports by modifying the preset overall template, the embodiment of the present application can improve the comprehensiveness, objectivity, report quality and adjustment flexibility of the assisted generated macroeconomic research report, and reduce the manpower cost required to modify the assisted generated macroeconomic research report.

[0024] In summary, a large model agent based on the editing and arrangement of macroeconomic research prompt words is implemented, and combined with the specific content corresponding to other structures contained in the macroeconomic research report, to efficiently and flexibly assist in the generation of rich content macroeconomic research reports. This can not only improve the efficiency and effectiveness of the assisted generation of macroeconomic research reports, but also reduce the labor cost required to modify the assisted generated macroeconomic research reports. It can make the assisted generation of macroeconomic research reports more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research reports more in line with reality.

[0025] The following embodiments of the present application are described in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0026] See also Figure 1 and Figure 2 , Figure 1 A flowchart of a method for assisting in the generation of a macroeconomic research report provided in an embodiment of the present application is provided. Figure 2 This is a schematic diagram of the system framework flow of the macroeconomic research report auxiliary generation processing method provided in the embodiment of this application. Figure 1 and Figure 2 As shown, the method includes but is not limited to the following steps S11-S15:

[0027] S11. Respond to the start instruction of the preset generation task corresponding to the auxiliary generation of the macroeconomic research report, and determine the preset macroeconomic research report template corresponding to the auxiliary generation of the macroeconomic research report, wherein the preset macroeconomic research report template includes the preset viewpoint and analysis logic content tags corresponding to the preset macroeconomic viewpoint and analysis logic content items.

[0028] Explanatoryly, a pre-set generation task is a preset generation task. A preset generation task refers to a task that assists in generating a macroeconomic research report. The preset generation task includes but is not limited to a scheduled task. A scheduled task refers to executing a specific task or code block at a predefined time point or time interval. A time interval refers to the time period or duration between two time points.

[0029] Please continue reading Figure 2 ,like Figure 2 As shown, a macroeconomic research report template is pre-set, that is, a preset macroeconomic research report template. The preset macroeconomic research report template represents a template for generating a macroeconomic research report. The preset macroeconomic research report template represents an overall report document framework formed by macroeconomic researchers based on their own understanding of macroeconomic research. The preset macroeconomic research report template includes but is not limited to the overall structure of the research report paragraphs, preset data and chart position marks corresponding to preset data and chart items, and preset viewpoint and analysis logic content marks corresponding to preset macroeconomic viewpoints and analysis logic content items. Among them, the preset data and chart position marks represent fixed economic indicator reference marks and chart reference marks, that is, the preset data and chart position marks represent the corresponding data and charts quoted at the corresponding positions of the preset macroeconomic research report template, the preset viewpoint and analysis logic content marks represent the description of the corresponding macroeconomic viewpoints and analysis logic content at the corresponding marks, and the macroeconomic viewpoints and analysis logic content represent the content of the logical reasoning and analysis that describes the macroeconomic viewpoints and supports the macroeconomic viewpoints.

[0030] Based on the above concepts and settings, in response to the start-up instructions of the preset generation tasks corresponding to the auxiliary generation of macroeconomic research reports, for example, the preset timed task is started, and the preset macroeconomic research report template corresponding to the auxiliary generation of macroeconomic research reports is determined, wherein the preset macroeconomic research report template includes preset viewpoints and analysis logic content tags corresponding to preset macroeconomic viewpoints and analysis logic content items.

[0031] S12. Determine the macroeconomic research prompt words and determine the large model intelligent agent.

[0032] Explanatorily, a big model agent is an artificial intelligence agent based on a big model. It is an intelligent entity with the ability to perceive the environment, understand independently, make decisions, and execute actions. In short, it is a computer program built on a big model that can simulate independent thinking processes, flexibly call on various tools, and gradually achieve preset goals. The big model agent includes a preset big model agent model and the orchestration content corresponding to its orchestration. Orchestrating the big model agent means integrating and coordinating the big model agent with other systems or services through specific technical means and strategies to achieve more efficient and flexible task execution and resource management. Orchestrating the big model agent includes but is not limited to splitting and aggregating the tasks of content tasks to refine the granularity of content generation and tool calls. Splitting and aggregating the tasks of content tasks to refine the granularity of content generation can not only achieve the decomposition of complex tasks, but also improve the accuracy of macroeconomic research reports. Through the orchestration of tool calls, external tools such as APIs and databases can be called to enhance its problem-solving ability, enabling the agent to interact with other systems or services, and can flexibly and fully utilize a large number of constantly changing external research reports and external data including but not limited to research report databases and investment research knowledge bases, which can improve the comprehensiveness, objectivity and report quality of the assisted macroeconomic research reports.

[0033] Macroeconomic research prompts, namely Prompt, can guide the large model intelligent agent to better understand the needs of generating macroeconomic research reports, thereby generating the task of generating macroeconomic research reports that meet expectations. Macroeconomic research prompts are input instructions for the large model intelligent agent when performing natural language processing tasks. By optimizing the design of macroeconomic research prompts, the quality and effect of the macroeconomic research reports output by the large model intelligent agent can be significantly improved.

[0034] Based on the above ideas and settings, when it is determined to start generating the macroeconomic research report, relevant personnel will configure the macroeconomic research prompt words to determine the macroeconomic research prompt words, and relevant personnel will arrange the preset large model intelligent body model to determine the large model intelligent body.

[0035] S13. Based on the large model intelligent agent and according to the macroeconomic research prompt words, generate the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items.

[0036] Explanatory, based on the large model intelligent body and according to the macroeconomic research prompt words, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are automatically generated. In addition, according to the preset macroeconomic research report template, the data and chart contents corresponding to the preset data and chart items can also be automatically generated, so that the assisted macroeconomic research report is more comprehensive, more objective, and richer in content in terms of structure and content, and the quality of the generated macroeconomic research report is higher.

[0037] S14. According to the preset viewpoints and analysis logic content tags, the viewpoints and analysis logic contents are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report.

[0038] Explanatory, please continue to see Figure 2 ,like Figure 2 As shown, according to the preset viewpoints and analysis logic content tags, the viewpoints and analysis logic content are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report. The intermediate macroeconomic research report refers to an unfinished, phased macroeconomic research report generated before the preset generation task is terminated.

[0039] Furthermore, when the preset macroeconomic research report template contains preset data and chart position marks corresponding to preset data and chart items, data and chart content are automatically generated based on the preset data and chart position marks, and the corresponding data and chart content are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report, so that the macroeconomic research report not only contains viewpoints and analytical logic content, but also contains data and chart content, which can make the content of the assisted generated macroeconomic research report more comprehensive, more objective, and richer in content, and make the quality of the generated macroeconomic research report higher.

[0040] S15. According to the preset generation task, update the viewpoints and analysis logic content, and update the intermediate macroeconomic research report until the preset generation task is terminated, thereby obtaining a first draft of the macroeconomic research report.

[0041] Explanatory, as Figure 2 As shown, according to the preset generation task, as described above, the above-mentioned viewpoints and analysis logic content are continuously updated, and the data and chart content can be updated, and the intermediate macroeconomic research report is updated until the preset generation task is terminated, and the preliminary draft of the macroeconomic research report is obtained, thereby realizing the auxiliary generation of the macroeconomic research report. The preliminary draft of the macroeconomic research report indicates that the research report has not been finally completed, that is, the macroeconomic research report has not yet been reviewed by relevant personnel. The preliminary draft of the macroeconomic research report generally still needs to be reviewed by relevant personnel, and if necessary, the preliminary draft of the macroeconomic research report will be modified to form the final macroeconomic research report.

[0042] In the embodiment of the present application, based on a preset macroeconomic research report template containing preset macroeconomic viewpoints and analysis logic content items, and based on a large model intelligent body and according to macroeconomic research prompt words, the viewpoints and analysis logic contents corresponding to the preset macroeconomic viewpoints and analysis logic content items are generated, and then the viewpoints and analysis logic contents are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report, and the intermediate macroeconomic research report is continuously updated until the preset generation task is terminated, and a first draft of the macroeconomic research report is obtained, thereby realizing the auxiliary generation of the macroeconomic research report, and being able to automatically generate viewpoints and analysis logic based on macroeconomic research prompt words and a pre-arranged large model intelligent body. The assisted generation of macroeconomic research reports can improve the comprehensiveness, objectivity and report quality of assisted macroeconomic research reports, and can not only improve the efficiency and effect of assisted generation of macroeconomic research reports, but also reduce the labor cost required to modify assisted generated macroeconomic research reports, and can make the assisted generation of macroeconomic research reports more adaptable to the ever-changing macroeconomy, and make the generated macroeconomic research reports more efficient and more practical.

[0043] In one embodiment, see Figure 3 , Figure 3 This is a schematic diagram of the first sub-flow of the macroeconomic research report auxiliary generation processing method provided in the embodiment of this application. Figure 3 As shown, in this embodiment, based on the large model agent and according to the macroeconomic research prompt words, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are generated, including:

[0044] S31. Based on the large model agent and according to the macroeconomic research prompt words, generate a task strategy corresponding to the macroeconomic research plan;

[0045] S32. Collect target data corresponding to the macroeconomic research plan according to the task strategy;

[0046] S33. Based on the target data, generate the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items.

[0047] Explanatory speaking, a large-model intelligent agent generally includes the following key parts: planning, memory, tools, and action. Among them, "planning" is the intelligent agent's thinking model. Through large-model prompt engineering, the intelligent agent can be given a human-like thinking mode, accurately breaking down complex tasks and solving them step by step; memory, that is, information storage and recall. The intelligent agent simulates humans and sets up short-term memory to store conversation context to facilitate multiple rounds of dialogue, so that tasks are cleared after completion; long-term memory stores user characteristics and business data, and vector databases are used for fast storage and retrieval; the intelligent agent perceives the environment and executes decisions based on "tools". Tools, such as neural sensors, help it obtain information and execute tasks. It is equipped with a variety of tools and empowered, such as API calls for business information and plug-ins to expand the capabilities of the large model; the intelligent agent performs specific actions based on planning and memory, including external interactions or tool calls to achieve input-to-output conversion.

[0048] According to the above, based on the large model intelligent agent and according to the macroeconomic research prompt words, when generating the views and analytical logic contents corresponding to the preset macroeconomic views and analytical logic content items, based on the large model intelligent agent and according to the macroeconomic research prompt words, the task strategy corresponding to the macroeconomic research plan is generated. The task strategy represents the task flow corresponding to several tasks organized in a certain order, that is, the content tasks of the preset macroeconomic views and analytical logic content items are split and summarized, the granularity of content generation is refined, and then according to the task strategy, the task strategy including several tasks is executed to collect the target data corresponding to the macroeconomic research plan, and then based on the target data, the viewpoints and analytical logic contents corresponding to the preset macroeconomic views and analytical logic content items are automatically generated.

[0049] The embodiment of the present application generates a task strategy corresponding to the macroeconomic research plan based on a large model intelligent agent and according to macroeconomic research prompt words, and then executes the task strategy to collect the target data corresponding to the macroeconomic research plan. Finally, based on the target data, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are generated. With the help of the pre-arranged large model intelligent agent, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items can be automatically generated, so that the assisted macroeconomic research report reflects the macroeconomic viewpoints that macroeconomic research pays more attention to and the corresponding logical reasoning and analysis, so as to solve the problem that it is difficult to complete the generation of nonlinear content such as logical reasoning and analytical ideas in the traditional assisted generation of macroeconomic research reports, thereby improving the comprehensiveness, objectivity, report quality and report adjustment flexibility of the assisted generated macroeconomic research report, reducing the labor cost required to modify the assisted generated macroeconomic research report, and improving the efficiency and effect of the assisted generation of macroeconomic research reports, so that the assisted generation of macroeconomic research reports is more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research reports are more in line with reality.

[0050] In one embodiment, collecting target data corresponding to the macroeconomic research plan according to the task strategy includes:

[0051] Determine the macroeconomic research data source corresponding to the Macroeconomic Research Institute based on the preset big data technology, wherein the macroeconomic research data source includes at least one of the following: a research report database and an investment research knowledge base;

[0052] The macroeconomic research data source is retrieved to obtain target data corresponding to the macroeconomic research plan.

[0053] Explanatoryly, Big Data Technology is a technology for processing and analyzing massive amounts of data. It aims to quickly obtain valuable information from various types of data, thereby facilitating the acquisition of valuable information required for macroeconomic research from massive amounts of data. Big Data Technology includes but is not limited to obtaining structured, semi-structured, and unstructured massive data through various means.

[0054] As mentioned above, based on the preset big data technology, the macroeconomic research data source corresponding to the Macroeconomic Research Institute is determined, so that a large number of relevant macroeconomic research reports and materials with high correlation and matching degrees can be found through big data technology. The macroeconomic research data source includes at least one of the following: research report database, investment research knowledge base, and then the macroeconomic research data source is retrieved to obtain the target data corresponding to the macroeconomic research plan.

[0055] The embodiment of the present application determines the macroeconomic research data source corresponding to the macroeconomic research institute through the editing and updating of macroeconomic research prompt words and the layout and updating of large model agents, and based on big data technology. It can flexibly and fully utilize a large number of constantly changing external research reports and external data, including but not limited to research report databases and investment research knowledge bases. Compared with traditional technologies that can only use specific economic data indicators and specific charts to generate reports, which makes the reports prone to one-sidedness, the embodiment of the present application can improve the comprehensiveness, objectivity, report quality and report adjustment flexibility of the assisted generated macroeconomic research reports, reduce the labor cost required to modify the assisted generated macroeconomic research reports, thereby improving the efficiency and effectiveness of the assisted generation of macroeconomic research reports, making the assisted generation of macroeconomic research reports more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research reports more in line with reality.

[0056] In one embodiment, see Figure 4 , Figure 4 This is a schematic diagram of the second sub-flow of the macroeconomic research report auxiliary generation processing method provided in the embodiment of this application. Figure 4 As shown, in this embodiment, according to the preset viewpoints and analysis logic content tags, the viewpoints and analysis logic content are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report, including:

[0057] S41. Determine the reference source link corresponding to the viewpoint and analysis logic content;

[0058] S42, constructing annotations corresponding to the reference source link;

[0059] S43. Insert the annotation into the document corresponding to the viewpoint and analysis logic content to obtain an intermediate macroeconomic research report.

[0060] Explanatory, when the present application implements the above description and makes full use of a large amount of constantly changing target data including but not limited to external research reports and external data to generate a macroeconomic research report, it is inevitable to involve the reference of data such as the corresponding macroeconomic research viewpoints and content. Therefore, when the viewpoints and analytical logic content involve corresponding references, the reference source link corresponding to the viewpoints and analytical logic content is determined, and based on the referenced data and reference sources, the annotations corresponding to the corresponding reference source link are constructed, and the annotations are inserted into the document corresponding to the viewpoints and analytical logic content to obtain an intermediate macroeconomic research report. For example, in the case where the viewpoints and analytical logic content include quoted macroeconomic research viewpoints, the viewpoint reference source link corresponding to the above macroeconomic research viewpoint is determined, and based on the macroeconomic research viewpoints and their corresponding viewpoint reference source links, the annotations corresponding to the corresponding reference source link are constructed, and the annotations are inserted into the document corresponding to the viewpoints and analytical logic content to obtain an intermediate macroeconomic research report, so that the content description of the macroeconomic research report has a basis, and can be referenced and conveniently accessed by relevant personnel, which can further improve the comprehensiveness, objectivity and report quality of the assisted generated macroeconomic research report.

[0061] In the embodiment of the present application, by inserting the reference source links corresponding to the viewpoints and analytical logic content into the generated intermediate macroeconomic research report in the form of annotations, it can facilitate reference and convenient access by relevant personnel, further improve the comprehensiveness, objectivity and report quality of the assisted macroeconomic research report, and further improve the efficiency and effectiveness of the assisted generation of the macroeconomic research report.

[0062] In one embodiment, determining macroeconomic research prompt words includes:

[0063] Based on the preset prompt word editing page, receiving the prompt word editing operation corresponding to the macroeconomic research prompt word;

[0064] According to the prompt word editing operation, macroeconomic research prompt words are obtained.

[0065] Explanatoryly, a prompt word editing page is pre-set, that is, a preset prompt word editing page. The preset prompt word editing page represents a page for editing macroeconomic research prompt words. The preset prompt word editing page can use a Word page as the preset prompt word editing page, and set a corresponding computer program at the corresponding bottom layer of the Word page to parse the input of the Word page and provide corresponding support. Then, relevant personnel, for example, researchers of macroeconomic research can edit macroeconomic research prompt words on the preset prompt word editing page.

[0066] Based on the above ideas and settings, relevant personnel perform prompt word editing operations corresponding to the macroeconomic research prompt words based on the preset prompt word editing page, respond to the above prompt word editing operations, and obtain macroeconomic research prompt words. Macroeconomic research prompt words mainly describe the content, keywords, reference source requirements, generation result format requirements and other information that need to be generated by macroeconomic research.

[0067] The embodiment of the present application can conveniently adjust the assisted-generated macroeconomic research report by editing the macroeconomic research prompt words to meet the actual needs of the latest macroeconomic research, improve the adjustment flexibility of the assisted generation of the macroeconomic research report, further improve the comprehensiveness, objectivity and report quality of the assisted-generated macroeconomic research report, and further reduce the labor cost required to modify the assisted-generated macroeconomic research report, thereby further improving the efficiency and effect of the assisted generation of the macroeconomic research report, making the assisted generation of the macroeconomic research report more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research report more in line with reality.

[0068] In one embodiment, determining a large model agent includes:

[0069] Based on the preset large-model agent model arrangement page, receive the arrangement operation corresponding to the preset large-model agent model;

[0070] According to the arrangement operation, the arrangement content corresponding to the preset large model agent model is obtained;

[0071] Based on the preset large model agent model and according to the arrangement content, a large model agent is determined.

[0072] Explanatoryly, a large model agent model orchestration page is pre-set, that is, a preset large model agent model orchestration page. The preset large model agent model orchestration page represents a page for orchestrating the large model agent model. The large model agent model refers to the model corresponding to the large model agent before orchestration. Among them, orchestrating the large model agent model is also called orchestrating the large model agent, that is, orchestrating the large model Agent. Orchestration of the large model Agent refers to building corresponding task strategies through specific technical means and strategies, and integrating and coordinating the large model Agent with other systems or services to achieve more efficient and flexible task execution and resource management. Among them, the task strategy means organizing several tasks in a certain order to form a task flow.

[0073] Based on the above ideas and settings, relevant personnel will arrange the preset large model intelligent agent model based on the preset large model intelligent agent model arrangement page, respond to the above arrangement, receive the arrangement operation corresponding to the preset large model intelligent agent model, and obtain the arrangement content corresponding to the preset large model intelligent agent model according to the arrangement operation. Based on the preset large model intelligent agent model and according to the arrangement content, the large model intelligent agent is determined. Among them, the large model agent arrangement mainly splits and summarizes the tasks of the preset macroeconomic views and analysis logic content items, refines the granularity of the corresponding content generation, and improves the accuracy of the viewpoints and analysis logic content generation results.

[0074] In the embodiment of the present application, a large model intelligent body is obtained by arranging a preset large model intelligent body model, so that the assisted generated macroeconomic research report can be conveniently adjusted by utilizing the arrangement of the preset large model intelligent body model to meet the actual needs of the latest macroeconomic research, and can improve the adjustment flexibility of the assisted generation of macroeconomic research reports, further improve the comprehensiveness, objectivity and report quality of the assisted generated macroeconomic research reports, and further reduce the labor cost required to modify the assisted generated macroeconomic research reports, thereby further improving the efficiency and effect of the assisted generation of macroeconomic research reports, making the assisted generation of macroeconomic research reports more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research reports more in line with reality.

[0075] In one embodiment, after determining the macroeconomic research prompt words and determining the large model agent, at least one of the following is further included:

[0076] Based on the preset prompt word editing page, updating the macroeconomic research prompt word;

[0077] Based on the preset large model agent model arrangement page, the arrangement content is updated, and according to the update of the arrangement content, the large model agent is updated.

[0078] Explanatory, as described above, the preset prompt word editing page represents a page for editing macroeconomic research prompt words, and the preset large model intelligent body model arrangement page represents a page for arranging the large model intelligent body model. Thus, based on the preset prompt word editing page, the macroeconomic research prompt words are edited to update the macroeconomic research prompt words, and based on the preset large model intelligent body model arrangement page, the preset large model intelligent body model is arranged to update the arrangement content, and according to the update of the arrangement content, the large model intelligent body is updated. Especially when the macroeconomic situation changes, or the relevant personnel adjust the macroeconomic analysis ideas, and the assisted macroeconomic research report needs to be adjusted, the report content, reference source, generated result format, etc. of the macroeconomic research report can be adjusted by editing the macroeconomic research prompt words and / or modifying the arrangement of the large model intelligent body to meet the actual needs of the latest macroeconomic research, which can improve the adjustment flexibility of the assisted generation of the macroeconomic research report.

[0079] The embodiment of the present application updates the large model intelligent body by updating the macroeconomic research prompt words and / or by updating the layout content. Compared with the traditional technology that can only modify the macroeconomic research report by modifying the underlying report template itself, the embodiment of the present application can conveniently adjust the assisted generated macroeconomic research report to meet the actual needs of the latest macroeconomic research, and can improve the adjustment flexibility, adjustment efficiency and effect of the assisted generation of macroeconomic research reports, further improve the comprehensiveness, objectivity and report quality of the assisted generated macroeconomic research reports, and further reduce the labor cost required to modify the assisted generated macroeconomic research reports, thereby further improving the efficiency and effect of the assisted generation of macroeconomic research reports, making the assisted generation of macroeconomic research reports more adaptable to the ever-changing macroeconomy, and the generated macroeconomic research reports more in line with reality.

[0080] It should be noted that the auxiliary generation and processing methods for macroeconomic research reports described in the above embodiments can recombine the technical features contained in different embodiments as needed to obtain a combined implementation plan, but they are all within the scope of protection required by this application.

[0081] See also Figure 5 , Figure 5 This is a schematic block diagram of a macroeconomic research report auxiliary generation processing device provided in an embodiment of the present application. Corresponding to the above-mentioned macroeconomic research report auxiliary generation processing method, an embodiment of the present application also provides a macroeconomic research report auxiliary generation processing device. Figure 5As shown, the macroeconomic research report auxiliary generation processing device includes a unit for executing the above-mentioned macroeconomic research report auxiliary generation processing method, and the macroeconomic research report auxiliary generation processing device can be configured in a computer device. Specifically, please refer to Figure 5 The macroeconomic research report auxiliary generation processing device 50 includes a first determination unit 51, a second determination unit 52, a first generation unit 53, a first filling unit 54 and a first updating unit 55.

[0082] The first determining unit 51 is configured to respond to a start instruction of a preset generation task corresponding to the auxiliary generation of the macroeconomic research report and determine a preset macroeconomic research report template corresponding to the auxiliary generation of the macroeconomic research report, wherein the preset macroeconomic research report template includes preset viewpoint and analysis logic content tags corresponding to preset macroeconomic viewpoint and analysis logic content items;

[0083] The second determining unit 52 is used to determine the macroeconomic research prompt words and determine the large model intelligent agent;

[0084] A first generating unit 53 is configured to generate, based on the large model agent and according to the macroeconomic research prompt words, viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic contents;

[0085] A first filling unit 54 is configured to fill the preset macroeconomic research report template with the preset viewpoints and analysis logic content according to the preset viewpoints and analysis logic content tags to generate an intermediate macroeconomic research report;

[0086] The first updating unit 55 is used to update the viewpoints and analysis logic content according to the preset generation task, and update the intermediate macroeconomic research report until the preset generation task is terminated, thereby obtaining a first draft of the macroeconomic research report.

[0087] In one embodiment, the first generating unit 53 includes:

[0088] A first generating subunit is configured to generate a task strategy corresponding to the macroeconomic research plan based on the large model agent and the macroeconomic research prompt word;

[0089] A first collection subunit is configured to collect target data corresponding to the macroeconomic research plan according to the task strategy;

[0090] The second generating subunit is used to generate the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items based on the target data.

[0091] In one embodiment, the first acquisition subunit includes:

[0092] A first determining subunit is configured to determine a macroeconomic research data source corresponding to the Macroeconomic Research Institute based on a preset big data technology, wherein the macroeconomic research data source includes at least one of the following: a research report database and an investment research knowledge base;

[0093] The retrieval subunit is used to retrieve the macroeconomic research data source to obtain the target data corresponding to the macroeconomic research plan.

[0094] In one embodiment, the first filling unit 54 includes:

[0095] A second determining subunit is used to determine the reference source link corresponding to the viewpoint and the analysis logic content;

[0096] A first construction subunit is used to construct an annotation corresponding to the reference source link;

[0097] The first inserting subunit is used to insert the annotation into the document corresponding to the viewpoint and analysis logic content to obtain an intermediate macroeconomic research report.

[0098] In one embodiment, the second determining unit 52 includes:

[0099] The first receiving sub-unit is configured to receive a prompt word editing operation corresponding to a macroeconomic research prompt word based on a preset prompt word editing page;

[0100] The first acquisition subunit is used to acquire macroeconomic research prompt words according to the prompt word editing operation.

[0101] In one embodiment, the second determining unit 52 includes:

[0102] A second receiving subunit is configured to arrange the page based on the preset large model agent model and receive an arrangement operation corresponding to the preset large model agent model;

[0103] A second acquisition subunit is configured to obtain, according to the arrangement operation, an arrangement content corresponding to the preset large model agent model;

[0104] The third determining subunit is used to determine the large model agent based on the preset large model agent model and according to the arrangement content.

[0105] In one embodiment, the macroeconomic research report auxiliary generation processing device 50 further includes at least one of the following units:

[0106] A first updating unit, configured to update the macroeconomic research prompt word based on a preset prompt word editing page;

[0107] The second updating unit is used to update the arrangement content based on the preset large model agent model arrangement page, and update the large model agent according to the update of the arrangement content.

[0108] It should be noted that technical personnel in the relevant field can clearly understand that the specific implementation process of the above-mentioned macroeconomic research report auxiliary generation and processing device and each unit can refer to the corresponding description in the aforementioned method embodiment. For the convenience and brevity of description, it will not be repeated here.

[0109] At the same time, the division and connection methods of the various units in the above-mentioned macroeconomic research report auxiliary generation and processing device are only used for illustration. In other embodiments, the macroeconomic research report auxiliary generation and processing device can be divided into different units as needed, and the various units in the macroeconomic research report auxiliary generation and processing device can also be connected in different sequences and methods to complete all or part of the functions of the above-mentioned macroeconomic research report auxiliary generation and processing device.

[0110] The above-mentioned macroeconomic research report auxiliary generation processing device can be implemented in the form of a computer program. The computer program can be used in Figure 6 Runs on the computer device shown.

[0111] See also Figure 6 , Figure 6 1 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 500 may be a computer device such as a desktop computer or a server, or may be a component or part in other devices.

[0112] See Figure 6 The computer device 500 includes a processor 502, a memory and a network interface 505 connected through a system bus 501, wherein the memory may include a non-volatile storage medium 503 and an internal memory 504, and the memory may also be a volatile storage medium.

[0113] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 can execute the above-mentioned macroeconomic research report auxiliary generation processing method.

[0114] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0115] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute the above-mentioned macroeconomic research report auxiliary generation processing method.

[0116] The network interface 505 is used to communicate with other devices through the network. Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structure and function of the memory and processor are the same as those in the embodiment of the present application. Figure 6 The embodiments shown are consistent and will not be described again here.

[0117] In which, the processor 502 is used to run the computer program 5032 stored in the memory to implement the following steps: responding to the start instruction of the preset generation task corresponding to the assisted generation of the macroeconomic research report, determining the preset macroeconomic research report template corresponding to the assisted generation of the macroeconomic research report, wherein the preset macroeconomic research report template includes the preset viewpoint and analysis logic content tags corresponding to the preset macroeconomic viewpoint and analysis logic content items; determining the macroeconomic research prompt words, and determining the large model intelligent body; based on the large model intelligent body, and according to the macroeconomic research prompt words, generating the viewpoint and analysis logic content corresponding to the preset macroeconomic viewpoint and analysis logic content items; according to the preset viewpoint and analysis logic content tags, filling the viewpoint and analysis logic content into the preset macroeconomic research report template to generate an intermediate macroeconomic research report; according to the preset generation task, updating the viewpoint and analysis logic content, and updating the intermediate macroeconomic research report, until the preset generation task is terminated, and obtaining a draft of the macroeconomic research report.

[0118] In one embodiment, when the processor 502 generates the viewpoints and analytical logic content corresponding to the preset macroeconomic viewpoints and analytical logic content items based on the large model agent and according to the macroeconomic research prompt, the processor 502 specifically implements the following steps:

[0119] Based on the large model agent and according to the macroeconomic research prompt words, generate a task strategy corresponding to the macroeconomic research plan;

[0120] According to the task strategy, collect target data corresponding to the macroeconomic research plan;

[0121] Based on the target data, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are generated.

[0122] In one embodiment, when collecting target data corresponding to the macroeconomic research plan according to the task strategy, the processor 502 specifically implements the following steps:

[0123] Determine the macroeconomic research data source corresponding to the Macroeconomic Research Institute based on the preset big data technology, wherein the macroeconomic research data source includes at least one of the following: a research report database and an investment research knowledge base;

[0124] The macroeconomic research data source is retrieved to obtain target data corresponding to the macroeconomic research plan.

[0125] In one embodiment, when the processor 502 implements the steps of filling the preset macroeconomic research report template with the preset viewpoints and analysis logic content tags to generate the intermediate macroeconomic research report, the processor 502 specifically implements the following steps:

[0126] Identify the reference source links corresponding to the viewpoints and analytical logic;

[0127] Constructing annotations corresponding to the reference source links;

[0128] The annotations are inserted into the document corresponding to the viewpoints and analysis logic content to obtain an intermediate macroeconomic research report.

[0129] In one embodiment, the processor 502 implements the following steps when determining the macroeconomic research prompt word:

[0130] Based on the preset prompt word editing page, receiving the prompt word editing operation corresponding to the macroeconomic research prompt word;

[0131] According to the prompt word editing operation, macroeconomic research prompt words are obtained.

[0132] In one embodiment, the processor 502 implements the following steps when determining the large model agent:

[0133] Based on the preset large-model agent model arrangement page, receive the arrangement operation corresponding to the preset large-model agent model;

[0134] According to the arrangement operation, the arrangement content corresponding to the preset large model agent model is obtained;

[0135] Based on the preset large model agent model and according to the arrangement content, a large model agent is determined.

[0136] In one embodiment, after determining the macroeconomic research prompt word and determining the large model agent, the processor 502 further specifically implements at least one of the following steps:

[0137] Based on the preset prompt word editing page, updating the macroeconomic research prompt word;

[0138] Based on the preset large model agent model arrangement page, the arrangement content is updated, and according to the update of the arrangement content, the large model agent is updated.

[0139] It should be understood that in the embodiment of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0140] Those skilled in the art will appreciate that all or part of the steps in the method of the above-described embodiment can be implemented by a computer program, which can be stored in a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the steps in the method of the above-described embodiment.

[0141] Therefore, the present application also provides a computer-readable storage medium. The computer-readable storage medium may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, and the computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the following steps:

[0142] A computer program product, when running on a computer, enables the computer to execute the steps of the macroeconomic research report auxiliary generation processing method described in the above embodiments.

[0143] The computer-readable storage medium may be an internal storage unit of the aforementioned device, such as a hard disk or memory of the device. The computer-readable storage medium may also be an external storage device of the device, such as a plug-in hard disk equipped on the device, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Furthermore, the computer-readable storage medium may include both an internal storage unit of the device and an external storage device.

[0144] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0145] The storage medium is a physical, non-transient storage medium, for example, a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which can store computer programs.

[0146] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0147] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is merely a logical functional division, and other division methods may be used in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not implemented.

[0148] The steps in the method of the embodiment of the present application can be adjusted in order, combined, and deleted according to actual needs. The units in the device of the embodiment of the present application can be combined, divided, and deleted according to actual needs. In addition, the functional units in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit.

[0149] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling an electronic device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0150] The software tools or components not produced by our company that appear in the embodiments of this application are merely examples and do not represent actual use.

[0151] The relevant data collection appearing in the embodiments of this application complies with the requirements of relevant laws and regulations, such as China's "Personal Information Protection Law", GDPR (EU General Data Protection Regulation) or information security standards of other countries and regions.

[0152] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and such modifications or substitutions should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for assisting in the generation and processing of a macroeconomic research report, characterized in that: include: In response to a start instruction of a preset generation task corresponding to the assisted generation of a macroeconomic research report, a preset macroeconomic research report template corresponding to the assisted generation of the macroeconomic research report is determined, wherein the preset macroeconomic research report template includes preset viewpoint and analysis logic content tags corresponding to preset macroeconomic viewpoint and analysis logic content items; Determine macroeconomic research prompts and large model agents; Based on the large model agent and according to the macroeconomic research prompt words, generate the viewpoints and analytical logic content corresponding to the preset macroeconomic viewpoints and analytical logic content items; According to the preset viewpoints and analysis logic content tags, the viewpoints and analysis logic content are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report; According to the preset generation task, the viewpoints and analysis logic content are updated, and the intermediate macroeconomic research report is updated until the preset generation task is terminated, thereby obtaining a first draft of the macroeconomic research report.

2. The macroeconomic research report auxiliary generation processing method according to claim 1 is characterized in that: Based on the large model agent and according to the macroeconomic research prompt words, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are generated, including: Based on the large model agent and according to the macroeconomic research prompt words, generate a task strategy corresponding to the macroeconomic research plan; According to the task strategy, collect target data corresponding to the macroeconomic research plan; Based on the target data, the viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items are generated.

3. The macroeconomic research report auxiliary generation processing method according to claim 2 is characterized in that: According to the task strategy, target data corresponding to the macroeconomic research plan is collected, including: Determine the macroeconomic research data source corresponding to the Macroeconomic Research Institute based on the preset big data technology, wherein the macroeconomic research data source includes at least one of the following: a research report database and an investment research knowledge base; The macroeconomic research data source is retrieved to obtain target data corresponding to the macroeconomic research plan.

4. The macroeconomic research report auxiliary generation processing method according to claim 1 is characterized in that: According to the preset viewpoints and analysis logic content tags, the viewpoints and analysis logic content are filled into the preset macroeconomic research report template to generate an intermediate macroeconomic research report, including: Identify the reference source links corresponding to the viewpoints and analytical logic; Constructing annotations corresponding to the reference source links; The annotations are inserted into the document corresponding to the viewpoints and analysis logic content to obtain an intermediate macroeconomic research report.

5. The macroeconomic research report auxiliary generation processing method according to claim 1 is characterized in that: Identify macroeconomic research prompts, including: Based on the preset prompt word editing page, receiving the prompt word editing operation corresponding to the macroeconomic research prompt word; According to the prompt word editing operation, macroeconomic research prompt words are obtained.

6. The macroeconomic research report auxiliary generation processing method according to claim 1 is characterized in that: Determine the large model agent, including: Based on the preset large-model agent model arrangement page, receive the arrangement operation corresponding to the preset large-model agent model; According to the arrangement operation, the arrangement content corresponding to the preset large model agent model is obtained; Based on the preset large model agent model and according to the arrangement content, a large model agent is determined.

7. The method for auxiliary generation of macroeconomic research reports according to any one of claims 1 to 6, characterized in that: After determining the macroeconomic research prompt words and the large model agent, at least one of the following items must be included: Based on the preset prompt word editing page, updating the macroeconomic research prompt word; Based on the preset large model agent model arrangement page, the arrangement content is updated, and according to the update of the arrangement content, the large model agent is updated.

8. A macroeconomic research report auxiliary generation and processing device, characterized in that: include: A first determining unit is configured to respond to a start instruction of a preset generation task corresponding to the assisted generation of a macroeconomic research report and determine a preset macroeconomic research report template corresponding to the assisted generation of the macroeconomic research report, wherein the preset macroeconomic research report template includes preset viewpoint and analysis logic content tags corresponding to preset macroeconomic viewpoint and analysis logic content items; The second determination unit is used to determine the macroeconomic research prompt words and the large model intelligent agent; A first generating unit is configured to generate, based on the large model agent and in accordance with the macroeconomic research prompt words, viewpoints and analytical logic contents corresponding to the preset macroeconomic viewpoints and analytical logic content items; A first filling unit is configured to fill the preset macroeconomic research report template with the preset viewpoints and analysis logic content according to the preset viewpoints and analysis logic content tags to generate an intermediate macroeconomic research report; The first updating unit is used to update the viewpoints and analysis logic content according to the preset generation task, and to update the intermediate macroeconomic research report until the preset generation task is terminated, thereby obtaining a first draft of the macroeconomic research report.

9. A computer device, characterized in that: The computer device includes a memory and a processor connected to the memory; the memory is used to store a computer program; and the processor is used to run the computer program to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 can be implemented.

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