CN112801688A - Method and device for positioning reason of estimation failure - Google Patents
Method and device for positioning reason of estimation failure Download PDFInfo
- Publication number
- CN112801688A CN112801688A CN202011472206.6A CN202011472206A CN112801688A CN 112801688 A CN112801688 A CN 112801688A CN 202011472206 A CN202011472206 A CN 202011472206A CN 112801688 A CN112801688 A CN 112801688A
- Authority
- CN
- China
- Prior art keywords
- estimation
- data
- failure
- reason
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Business, Economics & Management (AREA)
- Development Economics (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Technology Law (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method and a device for positioning a failure cause of estimation, and relates to the technical field of computers. One embodiment of the method comprises: carrying out first estimation on a target task, and collecting first estimation data in the first estimation process; determining whether the first evaluation failed; if yes, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process; and positioning the reason of the first estimation failure according to the first estimation data and the second estimation data. The embodiment can reduce the labor cost required in the process of positioning estimation failure cause and has high efficiency.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for positioning a reason of estimation failure.
Background
In the evaluation process of financial products, various types of products are involved, and the transaction data volume is large. When automatic valuation calculation is carried out, a small amount of transaction valuation failure and error report can be caused due to the problems of transaction entry or market data invalidation and the like. When data with estimation failure needs to be backtracked or reason analysis is carried out, more personnel need to be invested for special manual analysis, and the efficiency is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for positioning an estimation failure cause, which can reduce the labor cost required in the process of positioning the estimation failure cause and have high efficiency.
In a first aspect, an embodiment of the present invention provides a method for locating an estimation failure reason, including:
carrying out first estimation on a target task, and collecting first estimation data in the first estimation process;
determining whether the first evaluation failed;
if yes, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process;
and positioning the reason of the failure of the first estimation according to the first estimation data and the second estimation data.
Optionally, the method further comprises:
carrying out embedded point processing on the estimation system of the target task;
the collecting first estimation data in the first estimation process comprises:
in the first estimation process, acquiring first acquisition data of the estimation system at each embedded point;
and generating the first evaluation data according to the first acquisition data.
Optionally, the acquiring second estimation data in the second estimation process includes:
in the second estimation process, acquiring second acquisition data of the estimation system at each embedded point;
and generating the second estimation data according to the second acquisition data.
Optionally, the determining whether the first evaluation fails includes:
obtaining a trading value of the target task obtained through the first evaluation;
judging whether the trading value meets a preset condition or not;
and if so, determining that the first estimation fails.
Optionally, the preset condition is that the transaction value is null;
the judging whether the transaction value meets a preset condition includes:
and judging whether the trading value is null or not.
Optionally, the preset condition is that the trading value is outside a trading range;
the judging whether the transaction value meets a preset condition includes:
determining whether the trading value is outside the trading value range.
Optionally, the locating the reason for the first evaluation failure according to the first evaluation data and the second evaluation data includes:
acquiring first input information in the first evaluation value data;
acquiring second input information in the second evaluation value data;
and comparing the first input information with the second input information to locate the reason of the first evaluation failure.
Optionally, the comparing the first entry information with the second entry information to locate the reason for the failure of the first evaluation includes:
judging whether the first input information is empty or not;
if yes, positioning the reason of the first evaluation failure as a transaction input problem;
if not, judging that the difference value between the first input information and the second input information is out of a first difference value range;
and if so, positioning the reason of the failure of the first evaluation as a transaction entry problem.
Optionally, the locating the reason for the first evaluation failure according to the first evaluation data and the second evaluation data includes:
acquiring first market information in the first valuation data;
acquiring second market information in the second valuation data;
and comparing the first market information with the second market information to locate the reason for the first estimation failure.
Optionally, the comparing the first market information with the second market information to locate the reason for the first failure includes:
judging whether the first market information is empty or not;
if so, positioning the reason of the first estimation failure as a market information acquisition problem;
if not, judging whether the difference value between the first market information and the second market information is out of a second difference value range;
and if so, positioning the reason of the first estimation failure as a market information acquisition problem.
Optionally, the locating the reason for the first evaluation failure according to the first evaluation data and the second evaluation data includes:
acquiring first curve configuration information in the first estimation data;
acquiring second curve configuration information in the second estimation data;
and comparing the first curve configuration information with the second curve configuration information to locate the reason of the first estimation failure.
Optionally, the comparing the first curve configuration information with the second curve configuration information to locate the reason for the failure of the first estimation includes:
judging whether the first curve configuration information is empty or not;
if so, positioning the reason of the first estimation failure as a curve configuration problem;
if not, judging whether the difference value between the first curve configuration information and the second curve configuration information is out of a third difference value range;
and if so, positioning the reason of the first estimation failure as a curve configuration problem.
In a second aspect, an embodiment of the present invention provides a positioning apparatus for estimating a cause of failure, including:
the first acquisition module is used for carrying out first estimation on the target task and acquiring first estimation data in the first estimation process;
a failure determination module for determining whether the first evaluation fails;
the second acquisition module is used for carrying out second estimation on the target task and acquiring second estimation data in the second estimation process if the target task is in the first estimation process;
and the reason positioning module is used for positioning the reason of the first estimation failure according to the first estimation data and the second estimation data.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable medium, on which a computer program is stored, and the program, when executed by a processor, implements the method of any of the above embodiments.
One embodiment of the above invention has the following advantages or benefits: and after the first estimation, performing second estimation on the task with failed estimation, and automatically positioning the reason of the failure of the first estimation according to the transaction data acquired in the two estimation processes. Compared with the manual searching of the reason of the positioning estimation failure, the method can reduce the labor cost required in the process of the reason of the positioning estimation failure and has higher efficiency.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with specific embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 2 is a schematic diagram illustrating a flow of a positioning method for estimating a cause of failure according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating a flow of a method for locating a failure cause of estimation based on a system site according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a flow of another positioning method for estimating a cause of failure according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a positioning apparatus for evaluating a failure cause according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a positioning apparatus for evaluating a failure cause according to another embodiment of the present invention;
fig. 7 is a schematic structural diagram of a positioning apparatus for evaluating a failure cause according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a computer system of a terminal device or a server suitable for implementing the embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 illustrates an exemplary system architecture 100 to which a location method or apparatus for evaluating a cause of failure according to an embodiment of the present invention may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102, 103 may store various transaction data, market data, profile configuration information, and the like. The terminal devices 101, 102, 103 may be cell phones, notebooks, tablets, laptop portable computers, servers, etc.
The terminal devices 101, 102, 103 interact with a server 105 over a network 104 to receive or send messages or the like. The terminal apparatuses 101, 102, 103 transmit the stored video to the server 105 via the network 104.
The server 105 acquires various transaction data, market data, curve arrangement information, and the like from the terminal apparatuses 101, 102, 103. Performing first estimation on a target task according to the acquired transaction data, market data curve configuration information and the like, and acquiring first estimation data in the first estimation process; determining whether the first evaluation failed; if yes, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process; and positioning the reason of the first estimation failure according to the first estimation data and the second estimation data.
It should be noted that the method for locating the cause of the failure to evaluate provided by the embodiment of the present invention is generally executed by the server 105, and accordingly, the locating device for the cause of the failure to evaluate is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2 is a schematic diagram illustrating a flow of a positioning method for estimating a failure cause according to an embodiment of the present invention. The embodiment of the invention provides a method for positioning the reason of estimation failure, as shown in fig. 2, comprising the following steps:
step 201: and carrying out first estimation on the target task, and collecting first estimation data in the first estimation process.
The method of the embodiment of the invention can be applied to the valuation process of financial products and the valuation process of financial transactions. The target task may be a task for the evaluation of a financial product or a task for the evaluation of a financial transaction.
The first valuation data is data that has an effect on the trading value resulting from the first valuation. The first estimation data may be data used in the first estimation process. The first valuation data can be transaction duration, transaction currency, configuration information of interest rate discount curves corresponding to the currencies, configuration information of interest rate implicit curves, configuration information of reference interest rate curves, foreign exchange on-demand quotations, foreign exchange forward quotations, foreign exchange fluctuation rates and the like.
Step 202: it is determined whether the first evaluation failed.
In one embodiment of the present invention, determining whether the first evaluation failed comprises:
acquiring a trading value of the target task obtained through first estimation;
judging whether the trading value meets a preset condition or not;
if so, determining that the first estimation fails.
The preset conditions can be set according to actual requirements. The preset condition may be that the trading value is null, the trading value is outside the trading range, the difference between the trading value and the expected trading value is outside the difference range, etc.
In one embodiment of the invention, the preset condition is that the trading value is null;
judging whether the trading value meets a preset condition or not, including:
it is determined whether the trading value is null.
If the trading value is null, the first evaluation for the target task fails, and the second evaluation for the target task is needed to determine the reason for the failure of the first evaluation.
In one embodiment of the invention, the preset condition is that the trading value is outside the trading range;
judging whether the trading value meets a preset condition or not, including:
it is determined whether the trading value is outside of the trading value range.
The trade range represents a range of trade prices that the target task may correspond to. The transaction range can be set according to actual requirements. If the trading value is out of the trading range, errors can occur in the first evaluation process of the trading value, and the second evaluation is needed for the target task to determine whether the first evaluation fails or not and the reason of the errors.
Step 203: and if so, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process.
The specific implementation of the second estimation process is the same as the specific implementation of the first estimation process. The various data used in the second evaluation process are the same as the various information used in the first evaluation process.
The second valuation data is data having an effect on the trading value resulting from the second valuation. The second estimation data may be data used in the second estimation process. The second valuation data can be transaction duration, transaction currency, configuration information of interest rate discount curves corresponding to the currencies, configuration information of interest rate implicit curves, configuration information of reference interest rate curves, foreign exchange on-demand quotations, foreign exchange forward quotations, foreign exchange fluctuation rates and the like.
It should be noted that various information in the second evaluation data should correspond to various information in the first evaluation data, so as to implement the comparison between the first evaluation data and the second evaluation data in step 204.
Step 204: and positioning the reason of the failure of the first estimation according to the first estimation data and the second estimation data.
Various information in the first estimation data and corresponding information in the second estimation data can be compared one by one, and when a certain item of information in the first estimation data is empty or the difference value between the certain item of information in the first estimation data and the corresponding information in the second estimation data is large, the information can be positioned in the first estimation process, the information data is failed to be acquired, or the information is expired, and the like.
In the embodiment of the invention, the reason of the failure of the first estimation is automatically positioned according to the estimation data acquired in the two estimation processes. Therefore, the problems of high labor cost and low efficiency caused by the reason that the positioning estimation is failed to be found manually can be solved.
The method for positioning the reason of the estimation failure provided by the embodiment of the invention further comprises the following steps: and (5) performing buried point processing on the evaluation system of the target task.
Before the embedded point processing of the valuation system, a certain understanding of the valuation model of the related financial product in the valuation system is needed, so a technician with a certain professional foundation is needed, meanwhile, the transaction mode of each product is needed to be known, and the transaction information, the reference data used by the model and the market data are extracted from the system to obtain a specific process factor. The process factors may include attributes such as the configuration of the corresponding curve, the current day's market quote, and transaction information that affects the valuation.
And then aiming at the process factors obtained by analysis, finding the corresponding position in the target system, and carrying out point burying processing on the codes of the corresponding position.
Fig. 3 is a schematic diagram illustrating a flow of a method for locating a failure cause based on a system fixed point according to an embodiment of the present invention. An embodiment of the present invention provides a method for locating a cause of an estimation failure, as shown in fig. 3, including:
step 301: and carrying out first estimation on the target task, and acquiring first acquired data of the estimation system at each embedded point.
The location of the buried point may be the location of the code corresponding to attributes such as the configuration of the curve, the current day's market quote, transaction information affecting the valuation, and the like. The first collected data is generated at each embedded point by the collecting and evaluating system, and the first collected data can comprise the configuration information of the corresponding curve in the first evaluating process, the market quotation of the current day, the trading information influencing the evaluation and the like.
Step 302: first evaluation data is generated based on the first acquired data.
The first estimation data corresponds to each attribute information in the first estimation process, and may include: the configuration of the corresponding curve, the market quote of the current day, and the transaction information affecting the valuation.
Step 303: it is determined whether the first evaluation failed.
Step 304: and if so, carrying out second estimation on the target task, and acquiring second acquired data of the estimation system at each embedded point.
And generating second acquired data at each embedded point through the acquisition and evaluation system, wherein the second acquired data can comprise the configuration information of the corresponding curve in the second evaluation process, the market quotation of the current day, the trading information influencing the evaluation and the like.
Step 305: and generating second estimation data according to the second acquisition data.
The second estimation data corresponds to each attribute information in the second estimation process, and may include: the configuration of the corresponding curve, the market quote of the current day, and the transaction information affecting the valuation.
Step 306: and positioning the reason of the failure of the first estimation according to the first estimation data and the second estimation data.
In the embodiment of the invention, points are buried in the valuation system according to various attribute information which may influence the evaluated trading value. In the process of evaluating the target task, the system automatically records the information at the buried point. And if the target task fails to estimate the value, performing second estimation on the target task, and determining the reason of the failure of the estimation according to the information difference at the embedded point in the two estimation processes.
Fig. 4 is a schematic diagram illustrating a flow of a positioning method for estimating a failure cause according to an embodiment of the present invention. The embodiment of the invention provides a method for positioning the reason of estimation failure, as shown in fig. 4, the method comprises the following steps:
step 401: and carrying out first estimation on the target task, and collecting first estimation data in the first estimation process.
Step 402: it is determined whether the first evaluation failed.
Step 403: and if so, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process.
Step 404: and acquiring first input information in the first evaluation value data.
The first recorded information is used for representing relevant information of the target task in the first evaluation process. The first input information can be product identification, transaction quantity, transaction duration, transaction currency and the like corresponding to the target transaction.
Step 405: and acquiring second entry information in the second evaluation value data.
The second recorded information is used for representing the related information of the target task in the second evaluation process. The second input information can be product identification, transaction quantity, transaction duration, transaction currency and the like corresponding to the target transaction.
Step 406: and comparing the first input information with the second input information to locate the reason of the failure of the first evaluation.
In an embodiment of the present invention, comparing the first entered information with the second entered information to locate the reason for the failure of the first evaluation includes:
judging whether the first input information is empty or not;
if so, positioning the reason that the first evaluation fails as a transaction entry problem;
if not, judging that the difference value between the first input information and the second input information is out of the first difference value range;
if yes, the reason that the first evaluation fails is located to be a transaction entry problem.
In the process of evaluating the target task, problems of information input failure, information input error or information input failure and the like can be caused due to various reasons. If the first input information is null, the reason causing the failure of the first evaluation is the failure of the input information. If the first input information is not empty, but the difference value between the first input information and the second input information is larger, the first input information is more likely to have errors, and the first input information needs to be further checked.
In the embodiment of the invention, the acquired logging information in the previous and later evaluation processes is compared, so that whether the reason causing the first evaluation failure is a transaction logging problem or not is determined.
Fig. 5 is a schematic diagram of a flow of a positioning method for evaluating a failure cause according to another embodiment of the present invention. The embodiment of the invention provides a method for positioning the reason of estimation failure, as shown in fig. 5, comprising the following steps:
step 501: and carrying out first estimation on the target task, and collecting first estimation data in the first estimation process.
Step 502: it is determined whether the first evaluation failed.
Step 503: and if so, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process.
Step 504: first market information in the first estimate data is obtained.
The first market information is used to represent market-related information that affects the first valuation process. The first market information may include: the interest rate conversion curve configuration information corresponding to each currency, the reference interest rate curve configuration information, the foreign exchange on-demand quotation, the foreign exchange forward quotation, the foreign exchange fluctuation rate and the like.
Step 505: second market information in the second valuation data is obtained.
The second market information is used to represent market-related information that affects a second valuation process. The second market information may include: the allocation of interest rate discount curves corresponding to various currencies, the allocation information of reference interest rate curves, the foreign exchange on-demand quotation, the foreign exchange forward quotation, the foreign exchange fluctuation rate and the like.
Step 506: and comparing the first market information with the second market information to locate the reason for the failure of the first evaluation.
In an embodiment of the present invention, comparing the first market information with the second market information to locate the reason for the failure of the first valuation includes:
judging whether the first market information is empty or not;
if so, positioning the reason of the first estimation failure as a market information acquisition problem;
if not, judging whether the difference value between the first market information and the second market information is out of the second difference value range;
if so, the reason for the failure of the first estimation is the market information acquisition problem.
In the process of evaluating the target task, the problems of market information entry failure, market information entry error, market information failure and the like can be caused due to various reasons. If the first market information is empty, the reason causing the failure of the first evaluation is market information entry or acquisition failure. If the first market information is not empty, but the difference value between the first market information and the second market information is larger, the first market information is larger and possible to have errors, and the first market information needs to be further checked.
In the embodiment of the invention, the market information acquired in the previous and later evaluation processes is compared, so that whether the reason causing the first evaluation failure is the market information acquisition problem or not can be determined.
Fig. 6 is a schematic diagram of a flow of a further positioning method for evaluating a failure cause according to an embodiment of the present invention. The embodiment of the invention provides a method for positioning the reason of estimation failure, as shown in fig. 6, comprising the following steps:
step 601: and carrying out first estimation on the target task, and collecting first estimation data in the first estimation process.
Step 602: it is determined whether the first evaluation failed.
Step 603: and if so, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process.
Step 604: first curve configuration information in the first evaluation data is obtained.
The first curve configuration information is used for representing relevant information of an analysis curve adopted for evaluating the target task in the first evaluation process. The analysis curve may include: an estimation curve or trend chart of the financial product corresponding to the target task, and the like.
Step 605: and acquiring second curve configuration information in the second estimation data.
The second curve configuration information is used to represent information about an analysis curve used for evaluating the target task in the second evaluation process. The analysis curve may include: an estimation curve or trend chart of the financial product corresponding to the target task, and the like.
Step 606: and comparing the first curve configuration information with the second curve configuration information to locate the reason of the first estimation failure.
In an embodiment of the present invention, comparing the first curve configuration information with the second curve configuration information to locate the reason of the first estimation failure includes:
judging whether the first curve configuration information is empty or not;
if so, the reason for the failure of the first estimation is the problem of curve configuration;
if not, judging whether the difference market information between the first curve configuration information and the second curve configuration information is out of a third difference range;
if yes, the reason for the failure of the first estimation is the curve configuration problem.
In the process of evaluating the target task, problems such as failure in obtaining relevant curve configuration information or error in recording the curve configuration information and the like can be caused due to various reasons. If the curve configuration information is null, the reason causing the failure of the first estimation is the failure of the curve configuration information entry or acquisition. If the curve configuration information is not empty, but the difference value between the first curve configuration information and the second curve configuration information is larger, it indicates that the first curve configuration information is larger and error may exist, and the first curve configuration information needs to be further checked.
In the embodiment of the invention, whether the reason causing the first estimation failure is the curve configuration problem or not can be determined by comparing the acquired curve configuration information in the previous and later estimation processes.
It should be noted that the positioning methods for estimating the failure reason provided in fig. 4, 5, or 6 can be used in any combination. The methods of fig. 4 and 5 can be used simultaneously to compare the entered information and the market information in the two evaluation processes respectively. The methods of fig. 4, 5 and 6 can also be used simultaneously to compare the entered information, the market information and the curve configuration information in the two evaluation processes.
To facilitate an understanding of the methods of the embodiments of the present invention, a description of one embodiment is provided below. The specific embodiment mainly comprises the following steps:
step S01: the valuation system carries out information collection technology embedding on each position (curve construction, transaction acquisition and model calculation) in the valuation calculation process according to different transactions.
Step S02: the valuation system carries out valuation (a non-error positioning mode) of batch transactions every day, and after valuation is completed, valuation failure transactions are screened out.
Step S03: integrating the evaluation failure transaction, re-performing evaluation calculation, and simultaneously starting an error positioning mode.
Step S04: the system determines the error location mode, records the valuation process of each transaction, records the basic information of the transaction, the market information (quotation), the quotation processing result and the corresponding configuration used in the valuation process, and records the error location information.
Step S05: and sorting the recorded evaluation process information, making a page display for corresponding technical personnel or business personnel to inquire, and sending mails to the corresponding personnel.
The method of the embodiment of the invention can reproduce the estimation process and quickly locate the failure reason of estimation. The embodiment of the invention has the following advantages: the operation and maintenance response efficiency is high; and timely response and reporting of evaluation problems are facilitated.
Fig. 7 is a schematic structural diagram of a positioning apparatus for evaluating a failure cause according to an embodiment of the present invention, including:
a first collecting module 701, configured to perform a first estimation on a target task, and collect first estimation data in the first estimation process;
a failure determination module 702, configured to determine whether the first evaluation fails;
a second collecting module 703, configured to perform a second estimation on the target task, and collect second estimation data in the second estimation process;
a reason positioning module 704, configured to position a reason for the first estimation failure according to the first estimation data and the second estimation data.
Optionally, the apparatus further comprises:
a buried point module 705, configured to perform buried point processing on the estimation system of the target task;
a first collecting module 701, configured to collect first collected data of each embedded point of the estimation system in the first estimation process;
and generating the first evaluation data according to the first acquisition data.
Optionally, the second acquiring module 703 is specifically configured to acquire second acquired data of the estimation system at each embedded point in the second estimation process;
and generating the second estimation data according to the second acquisition data.
Optionally, the failure determining module 702 is configured to obtain a trading value obtained by the first evaluation of the target task;
judging whether the trading value meets a preset condition or not;
and if so, determining that the first estimation fails.
Optionally, the preset condition is that the transaction value is null;
a failure determination module 702, configured to determine whether the transaction value is null.
Optionally, the preset condition is that the trading value is outside a trading range;
a failure determination module 702 for determining whether the trading value is outside the trading value range.
Optionally, the cause positioning module 704 is specifically configured to obtain first entry information in the first evaluation value data;
acquiring second input information in the second evaluation value data;
and comparing the first input information with the second input information to locate the reason of the first evaluation failure.
Optionally, the reason positioning module 704 is specifically configured to determine whether the first entry information is null;
if yes, positioning the reason of the first evaluation failure as a transaction input problem;
if not, judging that the difference value between the first input information and the second input information is out of a first difference value range;
and if so, positioning the reason of the failure of the first evaluation as a transaction entry problem.
Optionally, the reason positioning module 704 is specifically configured to obtain first market information in the first estimation data;
acquiring second market information in the second valuation data;
and comparing the first market information with the second market information to locate the reason for the first estimation failure.
Optionally, the reason positioning module 704 is specifically configured to determine whether the first market information is empty;
if so, positioning the reason of the first estimation failure as a market information acquisition problem;
if not, judging whether the difference value between the first market information and the second market information is out of a second difference value range;
and if so, positioning the reason of the first estimation failure as a market information acquisition problem.
Optionally, the cause locating module 704 is specifically configured to obtain first curve configuration information in the first estimation data;
acquiring second curve configuration information in the second estimation data;
and comparing the first curve configuration information with the second curve configuration information to locate the reason of the first estimation failure.
Optionally, the reason positioning module 704 is specifically configured to determine whether the first curve configuration information is empty;
if so, positioning the reason of the first estimation failure as a curve configuration problem;
if not, judging whether the difference value between the first curve configuration information and the second curve configuration information is out of a third difference value range;
and if so, positioning the reason of the first estimation failure as a curve configuration problem.
Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as an internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 801.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises a first acquisition module, a failure determination module, a second acquisition module and a reason positioning module. The names of these modules do not in some cases form a limitation on the module itself, and for example, the first acquisition module may also be described as a "module that performs a first estimation on a target task and acquires first estimation data in the first estimation process".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
carrying out first estimation on a target task, and collecting first estimation data in the first estimation process;
determining whether the first evaluation failed;
if yes, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process;
and positioning the reason of the failure of the first estimation according to the first estimation data and the second estimation data.
According to the technical scheme of the embodiment of the invention, after the first evaluation, the second evaluation is carried out on the transaction with failed evaluation, and the reason of the failure of the first evaluation is automatically positioned according to the evaluation data acquired in the two evaluation processes. Compared with the manual searching of the reason of the failure of the positioning estimation, the method and the device can reduce the labor cost required in the process of the reason of the failure of the positioning estimation and have higher efficiency.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations, and substitutions may occur depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (15)
1. A method for locating a cause of an estimation failure, comprising:
carrying out first estimation on a target task, and collecting first estimation data in the first estimation process;
determining whether the first evaluation failed;
if yes, carrying out second estimation on the target task, and collecting second estimation data in the second estimation process;
and positioning the reason of the first estimation failure according to the first estimation data and the second estimation data.
2. The method of claim 1, further comprising:
carrying out embedded point processing on the estimation system of the target task;
the collecting first estimation data in the first estimation process comprises:
in the first estimation process, acquiring first acquired data of the estimation system at each embedded point;
and generating the first evaluation data according to the first acquisition data.
3. The method of claim 2, wherein said acquiring second evaluation data during said second evaluation comprises:
in the second estimation process, acquiring second acquired data of the estimation system at each embedded point;
and generating the second estimation data according to the second acquisition data.
4. The method of claim 1,
the determining whether the first evaluation fails comprises:
obtaining a trading value of the target task obtained through the first evaluation;
judging whether the trading value meets a preset condition or not;
and if so, determining that the first estimation fails.
5. The method of claim 4, wherein the preset condition is that the trading value is null;
the judging whether the transaction value meets a preset condition includes:
and judging whether the trading value is null or not.
6. The method of claim 4, wherein the preset condition is that the trading value is outside a trading range;
the judging whether the transaction value meets a preset condition includes:
determining whether the trading value is outside the trading value range.
7. The method of claim 1,
the positioning the reason of the first estimation failure according to the first estimation data and the second estimation data comprises:
acquiring first input information in the first evaluation value data;
acquiring second input information in the second evaluation value data;
and comparing the first input information with the second input information to locate the reason of the first evaluation failure.
8. The method of claim 7,
the comparing the first input information with the second input information to locate the reason of the first evaluation failure includes:
judging whether the first input information is empty or not;
if yes, positioning the reason of the first evaluation failure as a transaction input problem;
if not, judging that the difference value between the first input information and the second input information is out of a first difference value range;
and if so, positioning the reason of the failure of the first evaluation as a transaction entry problem.
9. The method of claim 1,
the positioning the reason of the first estimation failure according to the first estimation data and the second estimation data comprises:
acquiring first market information in the first valuation data;
acquiring second market information in the second valuation data;
and comparing the first market information with the second market information to locate the reason for the first estimation failure.
10. The method of claim 9,
the comparing the first market information with the second market information to locate the reason for the first failure includes:
judging whether the first market information is empty or not;
if so, positioning the reason of the first estimation failure as a market information acquisition problem;
if not, judging whether the difference value between the first market information and the second market information is out of a second difference value range;
and if so, positioning the reason of the first estimation failure as a market information acquisition problem.
11. The method of claim 1,
the positioning the reason of the first estimation failure according to the first estimation data and the second estimation data comprises:
acquiring first curve configuration information in the first estimation data;
acquiring second curve configuration information in the second estimation data;
and comparing the first curve configuration information with the second curve configuration information to locate the reason of the first estimation failure.
12. The method of claim 11,
the comparing the first curve configuration information with the second curve configuration information to locate the reason for the failure of the first estimation includes:
judging whether the first curve configuration information is empty or not;
if so, positioning the reason of the first estimation failure as a curve configuration problem;
if not, judging whether the difference value between the first curve configuration information and the second curve configuration information is out of a third difference value range;
and if so, positioning the reason of the first estimation failure as a curve configuration problem.
13. A positioning apparatus for estimating a cause of failure, comprising:
the first acquisition module is used for carrying out first estimation on the target task and acquiring first estimation data in the first estimation process;
a failure determination module for determining whether the first evaluation fails;
the second acquisition module is used for carrying out second estimation on the target task and acquiring second estimation data in the second estimation process;
and the reason positioning module is used for positioning the reason of the first estimation failure according to the first estimation data and the second estimation data.
14. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-12.
15. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011472206.6A CN112801688A (en) | 2020-12-14 | 2020-12-14 | Method and device for positioning reason of estimation failure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011472206.6A CN112801688A (en) | 2020-12-14 | 2020-12-14 | Method and device for positioning reason of estimation failure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112801688A true CN112801688A (en) | 2021-05-14 |
Family
ID=75806721
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011472206.6A Pending CN112801688A (en) | 2020-12-14 | 2020-12-14 | Method and device for positioning reason of estimation failure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112801688A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240476A (en) * | 2021-06-15 | 2021-08-10 | 京东数科海益信息科技有限公司 | Method and device for acquiring product valuation data |
-
2020
- 2020-12-14 CN CN202011472206.6A patent/CN112801688A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240476A (en) * | 2021-06-15 | 2021-08-10 | 京东数科海益信息科技有限公司 | Method and device for acquiring product valuation data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111383100A (en) | Risk model-based full life cycle management and control method and device | |
| CN113205402A (en) | Account checking method and device, electronic equipment and computer readable medium | |
| CN110737655B (en) | Method and device for reporting data | |
| CN115964272A (en) | Transaction data automatic testing method, device, equipment and readable storage medium | |
| CN112801688A (en) | Method and device for positioning reason of estimation failure | |
| CN112905435B (en) | Workload assessment method, device, equipment and storage medium based on big data | |
| CN111523764B (en) | Service architecture detection method, device, tool, electronic equipment and medium | |
| CN113806400A (en) | Financial data processing method and device, storage medium and electronic equipment | |
| CN115878707A (en) | Foreign exchange market data processing method and device, storage medium and equipment | |
| CN112966971B (en) | Project workload assessment method and device | |
| CN114416441A (en) | Real-time database automatic testing method and system, electronic equipment and storage medium | |
| CN110209883B (en) | Method and device for judging validity of user historical data | |
| CN112907362A (en) | Loan transaction processing method and device, electronic equipment and storage medium | |
| CN112132722A (en) | Method and device for determining abnormal trend of number of government affair hotlines, electronic equipment and medium | |
| CN112084114A (en) | Method and apparatus for testing an interface | |
| CN114648410A (en) | Stock staring method, apparatus, system, device and medium | |
| CN111625455A (en) | Program testing method, device, equipment and medium | |
| CN113434754A (en) | Method and device for determining recommended API (application program interface) service, electronic equipment and storage medium | |
| CN111159988A (en) | Model processing method and device, computer equipment and storage medium | |
| CN112734352A (en) | Document auditing method and device based on data dimensionality | |
| CN114997977B (en) | Data processing method, device, electronic equipment and computer readable medium | |
| CN109614328B (en) | Method and apparatus for processing test data | |
| CN116610674A (en) | Information processing method, device, equipment and storage medium | |
| CN110704449A (en) | Method and apparatus for locating defects | |
| KR101617651B1 (en) | Data transffer system and method between heterogeneous systems using transaction editor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |