Anti-collision and talent data reconstruction method for resume editing in recruitment system

Abstract

The invention discloses an anti-collision and talent data reconstruction method for resume editing in a recruitment system. The method comprises the following steps: receiving an editing request of a target resume and judging whether an identifier change event is triggered or not; when the detection result meets the preset sensitive state condition, generating a process interruption instruction and a manual judgment request, and suspending the process; and calling a unified data synchronization engine to carry out atomization synchronization and consistency verification, and recording a whole-process operation log to generate a traceable transaction execution chain. Resume editing operation is performed in the context of the dynamic recruitment process for conflict detection and decision, so that the problem that the dynamic business process is interfered by static data operation is fundamentally avoided, the business safety and integrity of the recruitment process are guaranteed, and process interruption and attribution errors are prevented; and through an automatic detection-strategic processing assembly line, the intelligence and automation level of resume management is improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system. Background Technology

[0002] In recruitment systems, resumes are the core data carriers of talent, typically uniquely identifying each candidate using key identifiers such as "name + mobile phone number." Current technologies generally process resume databases by deduplicating and merging static resumes, for example, using algorithms to identify and merge duplicate resumes belonging to the same candidate. However, these methods treat resumes as isolated, static data, ignoring the dynamic business status of candidates within the recruitment process, such as whether they are in the interview stage or have a designated recruitment manager. When resumes are edited and their core identifiers modified, simply merging or splitting data based on static matching rules can easily conflict with the ongoing dynamic recruitment process, leading to interruptions in interview scheduling, incorrect manager attribution, or errors in performance statistics—a fundamental problem. Summary of the Invention

[0003] In view of this, the purpose of this invention is to propose a method for preventing conflicts and reconstructing talent data in resume editing in a recruitment system.

[0004] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows: A method for conflict prevention and talent data reconstruction in resume editing within a recruitment system, comprising: Receive an edit request from the target resume, which contains the resume data fields to be updated; Based on the preset core identity identification rules, the fields of the resume data to be updated are parsed to determine whether the editing request triggers an identity change event; If an identifier change event is triggered, conflict detection is performed on the dynamic process status of at least one candidate associated with the edited identifier based on the recruitment process status database. The dynamic process status includes the process stage status and the responsible person attribution status. When the conflict detection result meets the preset sensitive state conditions, a process interruption command and a manual adjudication request are generated, and the associated recruitment process is suspended. When the conflict detection result does not meet the preset sensitive state conditions, the corresponding data reconstruction strategy execution module is called based on the existence determination result of the edited identity in the talent database. The data reconstruction strategy execution module performs corresponding operations, including: If it is determined that a talent record already exists corresponding to the edited identity identifier, then the talent merging and data migration operations will be performed; If it is determined that there is no corresponding talent record for the edited identity identifier, then the operation of creating and associating a new talent record will be performed; After the data reconstruction strategy execution module is completed, the unified data synchronization engine is called to perform atomic synchronization and consistency verification on the relationship between resume entity, talent entity and candidate entity. Record the entire process of operation logs from conflict detection to data synchronization completion after the record identifier change event is triggered, and generate a traceable transaction execution chain.

[0005] In some embodiments, based on preset core identity identification rules, the fields of the resume data to be updated are parsed to determine whether the edit request triggers an identity change event, including: Extract the resume data fields to be updated from the editing request, and classify the resume data fields to be updated into core identity fields and non-core information fields based on the preset field mapping rules; The current value of the core identity identifier field is compared with the original value of the core identity identifier field corresponding to the original talent record associated with the target resume stored in the talent database to obtain the consistency comparison result. When the consistency comparison result shows that the current value of at least one core identity field is inconsistent with the original value, an identity change event is triggered, and an identity change event object containing the identity values ​​before and after the change is generated.

[0006] In some embodiments, conflict detection is performed on the dynamic process status of at least one candidate associated with the edited identity based on the recruitment process status database, including: Based on the edited identity identifier, retrieve all associated candidate records from the recruitment process status database and extract the dynamic process status metadata corresponding to each candidate record; Input dynamic process status metadata into the preset status rule engine. The status rule engine has a set of sensitive status judgment rules that are bound to the recruitment business process logic. Through the state rule engine, at least one rule in the sensitive state determination rule set is executed in parallel to logically evaluate the dynamic process state of each candidate record. The rule evaluation results of all candidate records are summarized. When the evaluation result of any candidate record meets its corresponding sensitive state determination rule, the result of the conflict detection is determined to meet the preset sensitive state condition, and a conflict detection result containing the specific conflict rule and conflict candidate identifier is generated.

[0007] In some embodiments, at least one rule from the sensitive state determination rule set is executed in parallel through a state rule engine to logically evaluate the dynamic process state of each candidate record, including: The metadata of the dynamic process state is loaded into the working memory of the rules engine as a fact object; From the set of rules for determining sensitive states, activate at least one rule execution unit that matches the current business scenario. Each rule execution unit encapsulates an independent business conflict determination logic. Driven by the inference engine of the state rule engine, at least one rule execution unit performs parallel pattern matching and logical reasoning based on fact objects. Each rule execution unit independently outputs a Boolean evaluation result and the associated rule identifier. Collect the evaluation results output by all activated rule execution units, and generate a rule hit set for each candidate record. The rule hit set records the rule identifier that was triggered and its evaluation details.

[0008] In some embodiments, generating a process interruption command and a manual decision request, and suspending the associated recruitment process, includes: Based on the conflict detection results, a process interruption instruction is generated, which includes conflict details, associated candidate identifiers, and original edit request information. The process interruption command is sent to the recruitment process status management module. In response to the command, the recruitment process status management module marks the status of the associated recruitment process as suspended and prevents any operation to advance the status of the recruitment process. Synchronously construct a structured manual adjudication request data packet based on conflict details and associated candidate identifiers. The manual adjudication request data packet shall at least include the conflict cause, the operation options to be adjudicated, and the associated business context information. The manual adjudication request data packet is pushed to the preset adjudication task queue and a notification mechanism is triggered to assign the adjudication task to the designated recruitment operations personnel terminal.

[0009] In some embodiments, based on the existence determination result of the edited identity in the talent database, the corresponding data reconstruction strategy execution module is invoked, including: Use the edited identity identifier as the search key to perform matching and retrieval in the talent database; Based on the results returned by the matching search, an existence determination is performed, including: If a unique matching talent master record is found, it is determined that the corresponding talent record already exists; If no matching record is found, it is determined that there is no corresponding talent record. The existence determination result is encapsulated with the context information of the edit request to generate a strategy selection instruction; Based on the judgment result indicated in the strategy selection instruction, the corresponding data reconstruction strategy execution module is dynamically instantiated and called from the pre-registered strategy factory. The strategy factory is registered with at least a first strategy execution module for processing the corresponding existing talent record and a second strategy execution module for processing the corresponding no talent record.

[0010] In some embodiments, if it is determined that a talent record already exists corresponding to the edited identity, then a talent merging and data migration operation is performed, including: Identify the target talent record corresponding to the edited identity, and the source talent record associated with the target resume; Construct a data mapping relationship from the source talent record to the target talent record. The data mapping relationship should at least cover the resume entity, the candidate entity and their associated business history data. Based on the data mapping relationship, initiate a transactional data migration operation to atomically migrate and associate the specified data set associated with the source talent record with the target talent record; After confirming the successful completion of the transactional data migration operation, the source data cleanup logic is executed to evaluate the status of the source talent records. If the preset redundancy judgment conditions are met, the source talent records are marked as archiveable or logically deleteable.

[0011] In some embodiments, if it is determined that there is no corresponding talent record for the edited identity identifier, a new talent record creation and association operation is performed, including: Based on the edited identity and relevant resume data in the edit request, generate the core attribute set of the new talent record; In the talent database, a new talent master record is created based on the core attribute set, and a globally unique talent identifier is assigned to this record. Bind the latest data version of the target resume to the newly created talent master record to establish the attribution association between the resume entity and the talent entity; Based on the original recruitment process context associated with the target resume, the corresponding candidate record is updated, and its assigned talent identifier is changed to the newly assigned talent identifier, thereby completing the reconstruction of the business data association.

[0012] In some embodiments, after the data reconstruction strategy execution module completes its execution, the unified data synchronization engine is invoked to perform atomic synchronization and consistency verification of the relationships between resume entities, talent entities, and candidate entities, including: Receive operation completion events and data change summaries from the data reconstruction strategy execution module. The data change summary at least describes the affected entity types and key identifiers. The unified data synchronization engine generates an ordered sequence of relationship synchronization instructions based on the data change summary. The instruction sequence is used to sequentially update the foreign key relationships and status references between the resume entity, talent entity, and candidate entity within the transaction boundary. Execute the sequence of association synchronization instructions, and during the execution process, verify the integrity and constraint consistency of data references between association triples in real time. The association triples are configured as resume-talent-candidate. After the instruction sequence is executed, an eventual consistency checkpoint is triggered to verify that all relationships between affected entities have reached the expected state and to generate a data synchronization completion confirmation event.

[0013] In some embodiments, a complete operation log is recorded from conflict detection to data synchronization completion after an identifier change event is triggered, generating a traceable transaction execution chain, including: When the identifier change event is triggered, a globally unique transaction tracking identifier is generated and injected into the execution context of all subsequent sub-steps; Before and after each key sub-step of conflict detection, strategy selection, data reconstruction and data synchronization, the corresponding execution module sends a structured log event to the central log service. The structured log event includes at least the transaction trace identifier, step type, input parameter snapshot, output result and timestamp. The central log service collects and sorts all received structured log events according to transaction tracking identifiers and timestamps, forming a raw operation sequence arranged in execution order; Based on a predefined transaction chain model, the original operation sequence is parsed and correlated to generate a traceable transaction execution chain containing complete causal relationships, and the transaction execution chain is persistently stored in the audit database.

[0014] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art: Unlike existing technologies, the above technical solution receives editing requests from target resumes and determines whether an identifier change event is triggered. If triggered, conflict detection is performed on the dynamic process status of associated candidates based on the recruitment process status database. When the detection result meets preset sensitive state conditions, a process interruption command and a manual adjudication request are generated, and the process is suspended. Otherwise, based on the existence determination result of the edited identifier in the talent database, the corresponding data reconstruction strategy execution module is called to perform talent merging and data migration operations or new talent record creation and association operations. A unified data synchronization engine is called for atomic synchronization and consistency verification, and a full-process operation log is recorded to generate a traceable transaction execution chain. By placing resume editing operations in the context of dynamic recruitment processes for conflict detection and adjudication, the problem of static data operations interfering with dynamic business processes is fundamentally avoided, ensuring the business security and integrity of the recruitment process and preventing process interruptions and attribution errors. The automatic detection-strategic processing pipeline improves the intelligence and automation level of resume management. The atomic synchronization and transaction execution chain mechanism ensures data consistency and operational reliability in complex data reconstruction operations. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of steps S101 to S108 as described in the specific implementation method; Figure 2 This is a schematic diagram of steps S201 to S203 as described in the specific implementation method. Detailed Implementation

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 This embodiment provides a method for conflict prevention and talent data reconstruction in resume editing within a recruitment system, including: S101. Receive an editing request from the target resume. The editing request includes the resume data fields to be updated. S102. Based on the preset core identity identification rules, parse the fields of the resume data to be updated and determine whether the editing request triggers an identity change event; S103. If an identifier change event is triggered, then based on the recruitment process status database, perform conflict detection on the dynamic process status of at least one candidate associated with the edited identifier. The dynamic process status includes the process stage status and the responsible person attribution status. S104. When the conflict detection result meets the preset sensitive state conditions, generate a process interruption command and a manual adjudication request, and suspend the associated recruitment process. S105. When the conflict detection result does not meet the preset sensitive state conditions, the corresponding data reconstruction strategy execution module is called according to the existence determination result of the edited identity identifier in the talent database. S106. Through the data reconstruction strategy execution module, perform the corresponding operations, including: If it is determined that a talent record already exists corresponding to the edited identity identifier, then the talent merging and data migration operations will be performed; If it is determined that there is no corresponding talent record for the edited identity identifier, then the operation of creating and associating a new talent record will be performed; S107. After the data reconstruction strategy execution module is completed, the unified data synchronization engine is called to perform atomic synchronization and consistency verification on the relationship between resume entity, talent entity and candidate entity. S108. After the record identifier change event is triggered, record the entire process operation log from conflict detection to data synchronization completion, and generate a traceable transaction execution chain.

[0019] In step S101, the target resume refers to a specific resume data record in the recruitment system that needs to be modified, and it has a unique system identifier (such as a resume ID). An edit request is an operation instruction initiated by a user (such as a recruiter) through the system interface or API interface, intending to modify the resume content. This instruction encapsulates the resume data fields to be updated in the data structure. The resume data fields to be updated refer to the set of resume attributes explicitly specified in the request that need to be overridden by the new values, such as name, mobile phone number, work experience, skills, etc. This step captures the user's operation intent and transforms it into structured data input that the system can process.

[0020] In step S102, the preset core identity identifier rule refers to the key field combination rule predefined by the system to uniquely identify a talent entity. Preferably, this rule defines the combination of name and mobile phone number as the core identity identifier because it has high uniqueness and stability in business practice. The identifier change event is an internal system event that is triggered when parsing reveals that the resume data to be updated contains a core identity identifier field, and its new value is inconsistent with the core identity identifier value of the original associated talent record in the database. Through rule matching, high-risk operations that may trigger talent data ownership restructuring are quickly identified, thus determining whether a simple field update is performed or a complex conflict detection and restructuring process is initiated.

[0021] In step S103, the recruitment process status database is a data set storing the real-time progress status of all candidates in the recruitment pipeline, recording information such as the corresponding position, current stage (e.g., "initial screening," "interviewing," "offer approval"), and responsible person for each candidate. The edited identity identifier refers to the new core identity identifier (e.g., a new name and phone number combination) parsed in step S102 and updated by the user's intent. Dynamic process status indicates that candidates are not static data, but rather exist within a business process that progresses over time and whose status may change. The process stage status refers to their node position in the recruitment process, and the responsible person status refers to the recruiter currently responsible for following up on the candidate. Conflict detection involves using queries and logical judgments to assess whether performing data changes according to the new identifier will create business logic contradictions with the existing active recruitment process. Placing data operations within a dynamic business context for risk assessment overcomes the limitations of static data matching. By detecting dynamic business statuses such as those of responsible persons within the process, it proactively prevents process interruptions or ownership confusion caused by data changes.

[0022] In step S104, the preset sensitive state conditions are a set of predefined business rules used to determine which dynamic process states constitute conflicts that cannot be automatically handled. Preferably, these conditions include: the candidate is in a non-terminated process stage such as "interviewing" or "awaiting onboarding"; or the candidate currently has a designated person in charge and the process has not ended. The process interruption command is a command used to notify the recruitment process state management module to stop performing any state advancement operations on the relevant candidate's process. The manual adjudication request is a structured task data package containing conflict details, pending adjudication operation options (such as forced merge, cancel editing, etc.), and relevant business context, used to submit to recruitment operations personnel for decision-making. Suspending the associated recruitment process means marking the relevant candidate's process state as suspended, temporarily freezing it to avoid new business operations during the adjudication period. When the system detects business risks that cannot be automatically resolved, it proactively intervenes and leaves the final decision to human intelligence, thereby achieving a balance between automation and business security and ensuring that core business processes are not disrupted.

[0023] In step S105, the talent database is the core database storing all talent master records in the system. Each talent record has a globally unique talent ID and is associated with all its historical resumes and candidate records. The existence determination result refers to the conclusion obtained by querying the talent database using the edited identity as the key: either a unique matching record exists, or no matching record exists. The data reconstruction strategy execution module is a software component that follows a strategy design pattern. It dynamically selects and executes the corresponding data processing logic based on the input conditions (here, the existence determination result). It intelligently routes to different data processing paths based on the existing state of the new identity in the system.

[0024] In step S106, talent merging refers to integrating the business data (such as historical resumes, candidate records, communication records, etc.) associated with the source talent record currently being edited into the target talent record (i.e., the existing talent record). Data migration, under transaction protection, is the specific process of changing the above data from source association to target association. After migration, it can be assessed whether the source talent record has no other valid associated data, and if the conditions are met, it can be marked as redundant data. If it is determined that there is no corresponding talent record for the edited identity, a new talent record creation and association operation is performed. In this operation, new talent record creation refers to generating a new talent master record in the talent database based on the new core identity. Association operation refers to reassigning the edited resume and the candidate records associated with the original resume to this newly created talent record. A strategic and modular approach is adopted to securely handle data reconstruction in two different scenarios, ensuring the accuracy of the talent data model and the continuity of business history.

[0025] In step S107, the unified data synchronization engine is a dedicated service responsible for maintaining the consistency of reference relationships between different data entities. Atomic synchronization means that the engine wraps operations involving updates to multiple entity relationships into a single database transaction, ensuring that these updates either all succeed or all are rolled back, thereby preventing data from being in an inconsistent intermediate state. Consistency verification means that after the synchronization operation, the engine verifies whether key foreign key references and status fields conform to predefined business rules. After complex multi-entity data changes, the transaction and verification mechanisms ultimately ensure the consistency of the entire system's data view.

[0026] In step S108, the full-process operation log is recorded in a structured format, chronologically, detailing the operator, operation content, input parameters, output results, and timestamps for each key step from conflict detection, strategy selection, data reconstruction to data synchronization. A traceable transaction execution chain means that by performing correlation analysis on these logs (usually through a globally unique transaction ID), the entire process of a change event being processed by the system can be fully reconstructed. This provides audit trail capabilities for the entire conflict prevention and reconstruction process, allowing for rapid identification of the cause when problems occur, while also meeting the auditability requirements of the system operation.

[0027] This embodiment uses core identity changes as risk triggers and leverages the real-time business context provided by the recruitment process status database for conflict detection, enabling automatic interception and manual intervention for high-risk operations. For secure operations, a strategy-driven data reconstruction strategy execution module performs intelligent merging or creation processing, and atomic synchronization and transaction execution chains ensure final data consistency and operational traceability. This fundamentally solves the business incidents such as interview interruptions and attribution errors that may occur due to existing technologies being detached from business processes, ensuring the stability and security of recruitment operations. Through automated conflict detection and strategy-based processing, the system's intelligence and efficiency in handling complex data changes are significantly improved; the entire process possesses high reliability and auditability.

[0028] Please see Figure 2 In some embodiments, based on preset core identity identification rules, the resume data fields to be updated are parsed to determine whether the edit request triggers an identity change event, including: S201. Extract the resume data fields to be updated from the editing request, and classify the resume data fields to be updated into core identity fields and non-core information fields based on the preset field mapping rules. S202. Perform a consistency comparison between the current value of the core identity identifier field and the original value of the core identity identifier field corresponding to the original talent record associated with the target resume stored in the talent database, and obtain the consistency comparison result. S203. When the consistency comparison result shows that the current value of at least one core identity field is inconsistent with the original value, an identity change event is triggered, and an identity change event object containing the identity values ​​before and after the change is generated.

[0029] In step S201, the preset field mapping rules are a classification standard predefined by the system based on business logic. These rules distinguish which field changes directly affect the identification of a talent's unique identity. Core identity fields typically refer to key attribute combinations used to uniquely identify an individual talent in business operations, such as a combination of name and mobile phone number. Non-core information fields refer to descriptive information such as work experience, skills, and educational background; changes to these fields usually do not involve a re-identification of the talent's identity. This step can quickly identify high-risk operations that may trigger data reconstruction risks.

[0030] In step S202, the current value refers to the new data that the user intends to set for these core fields in the edit request. The original value refers to the value already stored in the corresponding core identity field in the original talent record to which the target resume belongs before this edit. The consistency comparison is a programmatic value comparison operation that checks one by one whether the old and new values ​​of each core identity field are completely identical. It is the direct basis for determining whether the identity has changed, and its output is a clear Boolean judgment or a list of difference details.

[0031] In step S203, the identified change event object is a structured data carrier that records the occurrence of the event itself and encapsulates key contextual information such as the specific identifier values ​​before and after the change, the associated resume ID, and the original talent record ID. The generation of this object signifies that a potentially high-risk operation has been formally identified and captured by the system. It will serve as the input and basis for all subsequent conflict detection and data reconstruction processes, ensuring that the entire processing chain proceeds with clear and consistent contextual information.

[0032] This embodiment achieves precise capture and event-based encapsulation of identity change operations through refined analysis and comparison of edit requests. This avoids introducing all edit operations into complex processes, improving the overall system processing efficiency. Simultaneously, the structured event objects provide reliable and complete data input for subsequent processes, a crucial prerequisite for ensuring the correct and orderly execution of the entire anti-conflict and refactoring mechanism.

[0033] In some embodiments, conflict detection is performed on the dynamic process status of at least one candidate associated with the edited identity based on the recruitment process status database, including: Based on the edited identity identifier, retrieve all associated candidate records from the recruitment process status database and extract the dynamic process status metadata corresponding to each candidate record; Input dynamic process status metadata into the preset status rule engine. The status rule engine has a set of sensitive status judgment rules that are bound to the recruitment business process logic. Through the state rule engine, at least one rule in the sensitive state determination rule set is executed in parallel to logically evaluate the dynamic process state of each candidate record. The rule evaluation results of all candidate records are summarized. When the evaluation result of any candidate record meets its corresponding sensitive state determination rule, the result of the conflict detection is determined to meet the preset sensitive state condition, and a conflict detection result containing the specific conflict rule and conflict candidate identifier is generated.

[0034] In this embodiment, the edited identity identifier is the core query key that triggers this detection process. The recruitment process status database is a real-time or near-real-time updated business database that stores the complete process trajectory of each candidate under a specific recruitment position. The associated candidate record refers to all candidate data that uses the edited identity identifier (such as the new name and mobile phone number) as its affiliated talent identifier. Dynamic process status metadata is a set of key attributes extracted from these records to characterize their current business status, typically including fields such as process stage code, responsible person identifier, and whether the process has been terminated. The current step is used to obtain a real-time status snapshot of all active business entities that may be affected by this edit operation.

[0035] In this embodiment, the state rule engine is a configurable business rule execution component. The sensitive state determination rule set is a set of logical rules written in a computer-understandable language (such as decision tables or domain-specific languages), with each rule corresponding to a scenario that may trigger a business conflict. For example, a rule might be defined as "If the candidate's process stage is not 'terminated' or 'eliminated,' and the responsible person field is not empty, then a conflict is determined." This directly encodes the business strategies and risk control points in recruitment operations, ensuring that the conflict detection logic remains synchronized with business needs and can be flexibly adjusted through configuration without modifying the program code.

[0036] In this embodiment, parallel execution means that the state rule engine can simultaneously apply multiple rules to the input metadata or process multiple candidate records to improve detection efficiency. Logical evaluation is the core function of the rule engine. It treats the metadata of each candidate record as facts, matches and infers against the conditions in the rule set, and ultimately outputs the evaluation result of one or more rules for each record (such as "Rule A triggered" or "No rule triggered"). This decouples business logic from execution code, making the maintenance and expansion of conflict conditions more convenient.

[0037] In this embodiment, the aggregation operation involves aggregating and analyzing all parallel evaluation results. The preset sensitive state condition here is manifested as at least one rule being triggered. The conflict detection result is a structured output containing a Boolean conflict flag, and more importantly, it records which candidate (conflict candidate identifier) ​​and which specific business rule (specific conflict rule) was triggered. This ensures that the system can accurately locate the source of risk, rather than reporting a conflict in general terms, greatly improving the targeting and efficiency of subsequent processing steps.

[0038] This embodiment combines dynamic business status query, a configurable rule engine, and a parallel evaluation mechanism to construct a highly efficient, flexible, and business-integrated conflict detection system. It can identify various business process conflicts that may arise due to changes in core identifiers in the resume in real time and accurately.

[0039] In some embodiments, at least one rule from the sensitive state determination rule set is executed in parallel through a state rule engine to logically evaluate the dynamic process state of each candidate record, including: The metadata of the dynamic process state is loaded into the working memory of the rules engine as a fact object; From the set of rules for determining sensitive states, activate at least one rule execution unit that matches the current business scenario. Each rule execution unit encapsulates an independent business conflict determination logic. Driven by the inference engine of the state rule engine, at least one rule execution unit performs parallel pattern matching and logical reasoning based on fact objects. Each rule execution unit independently outputs a Boolean evaluation result and the associated rule identifier. Collect the evaluation results output by all activated rule execution units, and generate a rule hit set for each candidate record. The rule hit set records the rule identifier that was triggered and its evaluation details.

[0040] In this embodiment, working memory is a temporary storage area used by the state rule engine to store all input data in the current session. A fact object is a data unit that the rule engine can recognize and manipulate, formed by structurally encapsulating the dynamic process state metadata of the input. Each fact object typically corresponds to a complete state snapshot of a candidate record. Loading data into working memory is a necessary preparatory step before the rule engine performs evaluation, allowing subsequent pattern matching operations to be performed directly in memory, thereby achieving high execution efficiency.

[0041] In this embodiment, the rule execution unit is the executable formal representation of a single business rule in the rule engine. The activation operation refers to the rule engine filtering potentially triggered rules from the rule set based on the currently loaded fact object type and the preset agenda management strategy, and placing them in the execution queue. Matching with the current business scenario means that not all rules need to be evaluated; for example, some rules may only target specific job types or specific process stages, and the engine will perform preliminary screening to improve efficiency. Each rule execution unit encapsulates complete conditional judgment logic, such as "if the candidate's process stage is 'interview scheduled,' then there is a conflict," achieving modularization of business logic.

[0042] In this embodiment, the inference engine is the core execution component of the rule engine, responsible for controlling the rule evaluation process. Parallel pattern matching refers to the inference engine's ability to simultaneously compare the conditional parts of multiple activated rule execution units with fact objects in its working memory. Logical reasoning refers to the execution of the rule's conclusion part when all conditions of a rule execution unit successfully match one or more fact objects. The Boolean evaluation result indicates whether the rule was triggered (true or false). The associated rule identifier uniquely identifies which specific rule produced the result. This implements declarative business logic execution, separating "what to do" (business rules) from "how to do it" (execution engine).

[0043] In this embodiment, the collection operation aggregates the scattered results generated by parallel evaluation. The rule hit set is a structured summary for a single candidate record, explicitly listing all triggered rules. Evaluation details may include the specific factual basis for triggering the rule or the matched field values, providing in-depth information for understanding the reasons for conflicts. Generating the rule hit set is a crucial step in transforming the internal evaluation state of the engine into externally meaningful results that can be further processed.

[0044] This embodiment encapsulates business rules into executable rule units and utilizes an inference engine for efficient parallel pattern matching, enabling flexible, accurate, and rapid evaluation of complex and ever-changing business conflict conditions. The generation of the rule hit set ensures that conflict detection results are no longer simply "yes" or "no," but include clear rule bases and details, enhancing the overall system's intelligence and reliability.

[0045] In some embodiments, generating a process interruption command and a manual decision request, and suspending the associated recruitment process, includes: Based on the conflict detection results, a process interruption instruction is generated, which includes conflict details, associated candidate identifiers, and original edit request information. The process interruption command is sent to the recruitment process status management module. In response to the command, the recruitment process status management module marks the status of the associated recruitment process as suspended and prevents any operation to advance the status of the recruitment process. Synchronously construct a structured manual adjudication request data packet based on conflict details and associated candidate identifiers. The manual adjudication request data packet shall at least include the conflict cause, the operation options to be adjudicated, and the associated business context information. The manual adjudication request data packet is pushed to the preset adjudication task queue and a notification mechanism is triggered to assign the adjudication task to the designated recruitment operations personnel terminal.

[0046] In this embodiment, conflict details typically refer to the specific conflict rule description and triggering conditions extracted from the conflict detection results. The associated candidate identifier clarifies which one or more specific candidate processes were affected. The original edit request information records the source of the user operation that triggered the conflict. The process interruption command is a structured command object whose function is to transform the detected business risk into a clear control action that can be understood and executed by other modules of the system, ensuring that the risk is responded to in a timely manner.

[0047] In this embodiment, the recruitment process status management module is the core service in the system responsible for maintaining and updating the status of all recruitment processes. Marking the status as suspended is a special process status setting, different from normal process termination or completion; it is a temporary, controlled pause state. Preventing status advancement operations means that in the suspended state, any business operations that would change the current node of the process, such as "schedule an interview," "progress to the next stage," or "mark as eliminated," will be refused. This forcibly freezes potentially risky business processes at the system level, preventing conflicts from escalating during adjudication or causing irreversible business impacts.

[0048] In this embodiment, synchronization means that the operation of constructing the adjudication request and the sending of the interrupt command occur immediately, together constituting a response to the same risk event. The structured manual adjudication request data packet is a standardized data format designed to facilitate subsequent task distribution, display, and processing. The conflict cause is a further business-oriented description of the conflict details. The pending adjudication operation options are pre-set processing solutions available for manual selection based on the conflict type and context, such as "force merge and notify the original person in charge," "cancel this editing operation," and "remove the candidate from the current process and merge." The associated business context information provides a broader decision-making reference, such as job information and historical communication records. The data packet is constructed to transform complex internal system conflicts into a clear, complete, and actionable decision work order.

[0049] In this embodiment, the preset adjudication task queue is a message queue or task list used to buffer and manage pending adjudication tasks. Pushing tasks to the queue enables asynchronous task distribution and load balancing. The triggered notification mechanism refers to the system sending reminders to the recruitment operations personnel responsible for handling such conflicts via in-system messages, emails, instant messaging tool interfaces, etc. Assigning adjudication tasks to designated terminals means that the tasks will appear in the corresponding user's workbench or task list, ensuring accountability. This achieves a seamless transition from automatic system detection to manual intervention, establishing a closed loop for human-machine collaborative risk management.

[0050] This embodiment ensures that business risks are immediately controlled by generating a clear instruction freeze process and constructing a context-rich structured adjudication task, effectively preventing business accidents that may be caused by automated operations. Through a standardized and process-oriented task distribution mechanism, it improves the efficiency and standardization of manual handling of such abnormal events.

[0051] In some embodiments, based on the existence determination result of the edited identity in the talent database, the corresponding data reconstruction strategy execution module is invoked, including: Use the edited identity identifier as the search key to perform matching and retrieval in the talent database; Based on the results returned by the matching search, an existence determination is performed, including: If a unique matching talent master record is found, it is determined that the corresponding talent record already exists; If no matching record is found, it is determined that there is no corresponding talent record. The existence determination result is encapsulated with the context information of the edit request to generate a strategy selection instruction; Based on the judgment result indicated in the strategy selection instruction, the corresponding data reconstruction strategy execution module is dynamically instantiated and called from the pre-registered strategy factory. The strategy factory is registered with at least a first strategy execution module for processing the corresponding existing talent record and a second strategy execution module for processing the corresponding no talent record.

[0052] In this embodiment, the query key is used to locate records in the database; in this case, it is the edited identity identifier, such as a new combination of name and phone number. Matching retrieval refers to performing an exact query on the corresponding field in the talent database to confirm whether a record exists that perfectly matches the identifier.

[0053] In this embodiment, the talent master record is the core data record in the talent database representing an independent talent entity, possessing a globally unique talent identifier. A unique match means that only one record in the database has a core identity field that completely matches the query key, indicating that the edited identity points to a talent already existing in the system. If no matching record is found, it is determined that the identifier has no corresponding talent record. This indicates that the edited identity is a completely new combination, and there is no corresponding record in the system's existing talent database. The existence determination logic clearly distinguishes two fundamentally different business scenarios, providing explicit Boolean conditions for strategy selection.

[0054] In this embodiment, the context information of the edit request includes the target resume identifier, the original talent record identifier, and the edit operation details. Encapsulation refers to combining these discrete information items into a structured data object. The strategy selection instruction is this data object, which carries the decision-making basis of "what conditions (judgment results) to select which strategy," and is the input parameter for the subsequent strategy factory to instantiate the specific strategy.

[0055] In this embodiment, the pre-registered strategy factory is a software component following the factory design pattern, maintaining a mapping relationship between strategy types and specific strategy implementation classes. Dynamic instantiation refers to the factory, at runtime, looking up the mapping relationship based on the judgment result in the input instruction (such as "identifying the corresponding existing talent record"), and creating an instance of the corresponding strategy execution module object (such as the first strategy execution module). Invocation refers to executing the entry method of this instance and starting the corresponding data reconstruction process. The first strategy execution module encapsulates the specific logic of talent merging and data migration, while the second strategy execution module encapsulates the logic of creating and associating new talent records. This achieves modularization and decoupling of business logic, ensuring that the addition, deletion, or modification of strategies will not affect the core invocation process, thus improving the system's scalability and maintainability.

[0056] This embodiment achieves intelligent routing for subsequent complex data reconstruction operations through precise existence determination and a dynamic scheduling mechanism based on the factory pattern. It transforms a multi-branch business decision-making problem into a clear data query and object creation process, enabling the system to flexibly and reliably select and execute the most appropriate data processing path based on real-time data status. This provides crucial routing control logic for the safe and efficient completion of talent data reconstruction.

[0057] In some embodiments, if it is determined that a talent record already exists corresponding to the edited identity, then a talent merging and data migration operation is performed, including: Identify the target talent record corresponding to the edited identity, and the source talent record associated with the target resume; Construct a data mapping relationship from the source talent record to the target talent record. The data mapping relationship should at least cover the resume entity, the candidate entity and their associated business history data. Based on the data mapping relationship, initiate a transactional data migration operation to atomically migrate and associate the specified data set associated with the source talent record with the target talent record; After confirming the successful completion of the transactional data migration operation, the source data cleanup logic is executed to evaluate the status of the source talent records. If the preset redundancy judgment conditions are met, the source talent records are marked as archiveable or logically deleteable.

[0058] In this embodiment, the target talent record is the existing record located in the talent database through an existence determination that uniquely matches the edited identity identifier, and thus becomes the final destination for data migration. The source talent record is the original talent record associated with the target resume before this editing.

[0059] In this embodiment, a data mapping relationship is a set of rules that defines how to transform and associate source data objects and their relationships with the target data object. A resume entity refers to a specific resume document or resume data record. A candidate entity refers to a process record bound to a specific job application. Business history data may include interview evaluations, communication records, attachments, process change logs, etc. Building a mapping relationship means analyzing the existing relationships between these entities and planning how they should be re-associated with the target talent record after migration; for example, updating the talent affiliation field of all candidate records under the source talent to the identifier of the target talent.

[0060] In this embodiment, transactional data migration operations refer to encapsulating a series of database update operations (such as updating foreign keys, inserting related records, etc.) based on data mapping relationships within a single database transaction. Atomicity means that this series of operations is treated as an indivisible whole unit; either all operations execute successfully, or all operations are rolled back in the event of any failure, restoring the database state to its pre-operation state. This ensures that even if unexpected events occur during the migration process, there will be no breakage of relationships or consistency issues caused by partial data migration.

[0061] In this embodiment, the source data cleanup logic is a step performed on the source end after the core data migration is successful. Status assessment refers to checking whether the source talent record retains other valid business associations after its associated data has been migrated, such as whether there are other resumes or active candidate records that have not been migrated. The preset redundancy judgment condition is usually defined as "the talent record no longer has any associated resume entities or active candidate entities." When this condition is met, it indicates that the talent record has lost its business significance and becomes redundant data. Marking it as archiveable or logically deleteable (rather than directly physically deleting) is a prudent data management strategy that retains the possibility of auditing or recovery when necessary, while achieving effective data organization.

[0062] This embodiment systematically solves all the key problems in merging a person's business data from one record to another by first planning the mapping blueprint, then performing atomic migration under transaction protection, and finally performing secure redundancy cleanup. It achieves the correct merging of talent at the business level, and further ensures strong data consistency, operational reliability, and storage cleanliness throughout the entire operation through transaction guarantees and conditional cleanup at the technical level.

[0063] In some embodiments, if it is determined that there is no corresponding talent record for the edited identity identifier, a new talent record creation and association operation is performed, including: Based on the edited identity and relevant resume data in the edit request, generate the core attribute set of the new talent record; In the talent database, a new talent master record is created based on the core attribute set, and a globally unique talent identifier is assigned to this record. Bind the latest data version of the target resume to the newly created talent master record to establish the attribution association between the resume entity and the talent entity; Based on the original recruitment process context associated with the target resume, the corresponding candidate record is updated, and its assigned talent identifier is changed to the newly assigned talent identifier, thereby completing the reconstruction of the business data association.

[0064] In this embodiment, the edited identity identifier forms the basis of the new talent's unique identity. The relevant resume data in the edit request may include other key information besides the core identifier, such as email address and years of work experience, which helps enrich the initial profile of the new talent record. The core attribute set is the minimum set of data fields necessary to create a talent master record, including at least the identity identifier field for unique identification, and may optionally include other basic attributes for quick retrieval or display.

[0065] In this embodiment, the creation operation refers to inserting a new data record into the corresponding table of the talent database. The globally unique talent identifier is an internal primary key generated by the system for this record, which becomes the root identifier for all related data of this talent in the system.

[0066] In this embodiment, the latest data version of the target resume refers to the complete content of the resume after being updated by this edit request. The binding operation is typically achieved by updating a foreign key field in the resume record, setting the value of that field to the talent identifier of the newly created talent master record. Establishing the attribution association means that this resume logically and formally belongs to this new talent entity, representing a reconstruction of the core relationship between the resume and the talent model.

[0067] In this embodiment, the original recruitment process context refers to one or more specific job application processes that the target resume participated in before editing, with each process corresponding to a candidate record. The candidate records were originally associated with talent identifiers before editing. The update operation modifies the foreign key fields pointing to talent in these candidate records, replacing their values ​​with the newly assigned talent identifier. This separates the ongoing recruitment process (candidate process) from the old talent attribution and reassigns it to the newly created talent entity, ensuring that the continuity of the business process is not interrupted by the splitting or reconstruction of the underlying talent data, thus completing a complete reconstruction of the association from data to business.

[0068] This embodiment, from generating core attributes to creating the master record, and then binding resumes and updating candidate associations, aims to ensure that each step not only creates the new talent record correctly but also seamlessly inherits the original business context. This allows talent record splitting operations caused by information corrections or entry errors to be executed safely and smoothly, maintaining data accuracy while maximizing the protection of ongoing recruitment activities from disruption.

[0069] In some embodiments, after the data reconstruction strategy execution module completes its execution, the unified data synchronization engine is invoked to perform atomic synchronization and consistency verification of the relationships between resume entities, talent entities, and candidate entities, including: Receive operation completion events and data change summaries from the data reconstruction strategy execution module. The data change summary at least describes the affected entity types and key identifiers. The unified data synchronization engine generates an ordered sequence of relationship synchronization instructions based on the data change summary. The instruction sequence is used to sequentially update the foreign key relationships and status references between the resume entity, talent entity, and candidate entity within the transaction boundary. Execute the sequence of association synchronization instructions, and during the execution process, verify the integrity and constraint consistency of data references between association triples in real time. The association triples are configured as resume-talent-candidate. After the instruction sequence is executed, an eventual consistency checkpoint is triggered to verify that all relationships between affected entities have reached the expected state and to generate a data synchronization completion confirmation event.

[0070] In this embodiment, the operation completion event is a signal indicating that the preceding core logic of data reconstruction (such as merging or creating) has been executed. The data change summary is a concise report about which data objects have changed, clearly indicating whether the entity type being operated on is a resume, talent, or candidate, and listing the unique identifiers of these entities.

[0071] In this embodiment, generating the instruction sequence is the core planning phase of the synchronization engine. Orderliness means that there are logical dependencies between instructions; for example, the core information of the talent record needs to be updated first, then the resume record's reference to the talent needs to be updated, and finally the candidate record's reference to the talent needs to be updated, to avoid reference breakage. Transaction boundaries mean that this sequence of instructions will be executed as a database transaction. Foreign key associations and state references are technical implementations for establishing relationships between entities; for example, storing a foreign key field for talent ID in the resume table, or storing a field for both resume ID and talent ID in the candidate table. This transforms abstract data change intentions into concrete, executable database operation plans with atomicity guarantees.

[0072] In this embodiment, the execution instruction sequence refers to running the planned database update statements sequentially. Real-time verification immediately checks whether the reference relationships between related data conform to predefined business rules after each step or group of related updates. The association triplet is a stable reference relationship model that should be maintained between these three core entities; for example, a resume should belong to a talent, and a candidate should be associated with a resume and a talent. Integrity verification ensures that the reference relationship exists and is not empty, while constraint consistency verification ensures that the referenced ID value actually exists in the corresponding main table. Real-time verification performed within a transaction can immediately detect data inconsistency risks caused by concurrent operations or anomalies and capture them before transaction rollback.

[0073] In this embodiment, the eventual consistency checkpoint is the final overall verification performed before the transaction is committed. Based on the data change summary, a comprehensive state scan is performed on all affected data associations to confirm that all foreign keys point correctly and that status fields are updated synchronously. This ensures that, from a business perspective, the relationship network between resumes, talents, and candidates has been completely reconstructed and has reached the expected, consistent state. The generation of a data synchronization completion confirmation event marks the successful end of the entire atomic synchronization process. This event can be used to trigger subsequent operations (such as logging) or to notify other system modules that are interested in this change.

[0074] This embodiment constructs a multi-layered, progressive data consistency assurance mechanism, from transactional instruction sequence planning to real-time verification during execution and final checks before submission. It ensures that no matter how complex the preceding merging or creation operations are, a complete, self-consistent data association state conforming to all business rules can ultimately be formed at the database level. This minimizes the technical risks of data reconstruction and is the crucial final step in maintaining the reliability of the recruitment system's data.

[0075] In some embodiments, a complete operation log is recorded from conflict detection to data synchronization completion after an identifier change event is triggered, generating a traceable transaction execution chain, including: When the identifier change event is triggered, a globally unique transaction tracking identifier is generated and injected into the execution context of all subsequent sub-steps; Before and after each key sub-step of conflict detection, strategy selection, data reconstruction and data synchronization, the corresponding execution module sends a structured log event to the central log service. The structured log event includes at least the transaction trace identifier, step type, input parameter snapshot, output result and timestamp. The central log service collects and sorts all received structured log events according to transaction tracking identifiers and timestamps, forming a raw operation sequence arranged in execution order; Based on a predefined transaction chain model, the original operation sequence is parsed and correlated to generate a traceable transaction execution chain containing complete causal relationships, and the transaction execution chain is persistently stored in the audit database.

[0076] In this embodiment, the globally unique transaction tracking identifier is a string or code that will not be repeated during the lifecycle of this identifier change process, such as a UUID. Injecting the execution context means that this identifier will be used as an implicit parameter or thread-local variable, accompanying this request through all subsequent processing modules. This establishes a unified tracking thread for a complete business processing transaction, ensuring that all subsequent scattered log records can be associated with the same business event.

[0077] In this embodiment, key sub-steps refer to those stages in the process that decisively change the state or make important logical judgments. Structured log events differ from simple text logs; they are data records with fixed field formats. Input parameter snapshots record the key data state before the step execution, while output results record the results or generated data after the step execution. Timestamps precisely record the moment the event occurred. Sending these events to a central log service enables centralized and standardized log collection, providing high-quality data raw materials for subsequent analysis and reorganization.

[0078] In this embodiment, aggregation refers to the central log service filtering and aggregating all log events from different modules and time points but belonging to the same processing flow based on the transaction tracking identifier. Sorting, on the other hand, is based on the timestamp of each event, arranging them in the actual order of occurrence. The original operation sequence is thus formed, objectively and temporally reconstructing the actual step flow of the system's internal processing of this identifier change event.

[0079] In this embodiment, the predefined transaction chain model is a data model that defines the logical relationships and attributes between various step events in a complete transaction. Parsing and association refer to analyzing the dependencies and causal relationships between events in the original operation sequence based on this model; for example, a strategy selection event might be triggered by the result of a previous conflict detection event. Through this processing, discrete log events are chained together into a chain with clear causal logic—the transaction execution chain. Persistently storing this chain in the audit database means that this complete processing trajectory is preserved long-term and can be used for post-event queries, audits, problem reviews, or compliance report generation.

[0080] This embodiment, through global identifier concatenation, structured event logging, centralized aggregation, and model-based chain reconstruction, can record a complex asynchronous processing flow involving multiple modules and steps completely, clearly, and with a clear cause-and-effect relationship. It provides powerful problem localization and root cause analysis capabilities when system anomalies occur, meeting the compliance requirements of enterprises for auditing and monitoring critical data change operations, and enhancing the observability and reliability of the entire system.

[0081] Unlike existing technologies, the above technical solution receives editing requests from target resumes and determines whether an identifier change event is triggered. If triggered, conflict detection is performed on the dynamic process status of associated candidates based on the recruitment process status database. When the detection result meets preset sensitive state conditions, a process interruption command and a manual adjudication request are generated, and the process is suspended. Otherwise, based on the existence determination result of the edited identifier in the talent database, the corresponding data reconstruction strategy execution module is called to perform talent merging and data migration operations or new talent record creation and association operations. A unified data synchronization engine is called for atomic synchronization and consistency verification, and a full-process operation log is recorded to generate a traceable transaction execution chain. By placing resume editing operations in the context of dynamic recruitment processes for conflict detection and adjudication, the problem of static data operations interfering with dynamic business processes is fundamentally avoided, ensuring the business security and integrity of the recruitment process and preventing process interruptions and attribution errors. The automatic detection-strategic processing pipeline improves the intelligence and automation level of resume management. The atomic synchronization and transaction execution chain mechanism ensures data consistency and operational reliability in complex data reconstruction operations.

[0082] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0083] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0084] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for conflict prevention and talent data reconstruction in resume editing within a recruitment system, characterized in that, include: Receive an edit request for the target resume, the edit request containing resume data fields to be updated; Based on preset core identity identification rules, the fields of the resume data to be updated are parsed to determine whether the edit request triggers an identity change event; If the identity change event is triggered, then based on the recruitment process status database, conflict detection is performed on the dynamic process status of at least one candidate associated with the edited identity. The dynamic process status includes the process stage status and the person in charge status. When the conflict detection result meets the preset sensitive state conditions, a process interruption command and a manual adjudication request are generated, and the associated recruitment process is suspended. When the conflict detection result does not meet the preset sensitive state condition, the corresponding data reconstruction strategy execution module is called according to the existence determination result of the edited identity in the talent database. The data reconstruction strategy execution module performs corresponding operations, including: If it is determined that a talent record already exists corresponding to the edited identity identifier, then the talent merging and data migration operations will be performed; If it is determined that there is no corresponding talent record for the edited identity identifier, then the operation of creating and associating a new talent record will be performed; After the data reconstruction strategy execution module has finished executing, the unified data synchronization engine is called to perform atomic synchronization and consistency verification on the relationship between resume entity, talent entity and candidate entity. Record the entire process of operation logs from conflict detection to data synchronization completion after the identifier change event is triggered, and generate a traceable transaction execution chain.

2. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, Based on preset core identity identification rules, the fields of the resume data to be updated are parsed to determine whether the edit request triggers an identity change event, including: Extract the resume data fields to be updated from the edit request, and classify the resume data fields to be updated into core identity fields and non-core information fields based on preset field mapping rules; The current value of the core identity identifier field is compared with the original value of the core identity identifier field corresponding to the original talent record associated with the target resume stored in the talent database to obtain the consistency comparison result. When the consistency comparison result indicates that the current value of at least one of the core identity fields is inconsistent with the original value, the identity change event is triggered, and an identity change event object containing the identity values ​​before and after the change is generated.

3. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, Based on the recruitment process status database, conflict detection is performed on the dynamic process status of at least one candidate associated with the edited identity, including: Based on the edited identity identifier, retrieve all associated candidate records from the recruitment process status database and extract the dynamic process status metadata corresponding to each candidate record; The dynamic process status metadata is input into a preset status rule engine, which has a set of sensitive status judgment rules that are bound to the recruitment business process logic. The state rule engine executes at least one rule from the sensitive state determination rule set in parallel to logically evaluate the dynamic process state of each candidate record. The rule evaluation results of all candidate records are summarized. When the evaluation result of any candidate record meets its corresponding sensitive state determination rule, the result of the conflict detection is determined to meet the preset sensitive state condition, and a conflict detection result containing specific conflict rules and conflict candidate identifiers is generated.

4. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 3, characterized in that, The state rule engine executes at least one rule from the sensitive state determination rule set in parallel to logically evaluate the dynamic process state of each candidate record, including: The metadata of the dynamic process state is loaded into the working memory of the rule engine as a fact object; From the set of sensitive state determination rules, activate at least one rule execution unit that matches the current business scenario, and each rule execution unit encapsulates an independent business conflict determination logic; Driven by the inference engine of the state rule engine, the at least one rule execution unit performs parallel pattern matching and logical reasoning based on the fact object, and each rule execution unit independently outputs a Boolean evaluation result and the associated rule identifier; Collect the evaluation results output by all activated rule execution units, and generate a rule hit set for each candidate record. The rule hit set records the rule identifier that was triggered and its evaluation details.

5. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, Generate a process interruption command and a manual decision request, and suspend the associated recruitment processes, including: Based on the results of the conflict detection, a process interruption instruction is generated that includes conflict details, associated candidate identifiers, and original edit request information. The process interruption command is sent to the recruitment process status management module. In response to the command, the recruitment process status management module marks the status of the associated recruitment process as suspended and prevents any operation to advance the status of the recruitment process. Based on the conflict details and associated candidate identifiers, a structured manual adjudication request data packet is constructed. The manual adjudication request data packet includes at least the conflict cause, the operation options to be adjudicated, and the associated business context information. The manual adjudication request data packet is pushed to a preset adjudication task queue and a notification mechanism is triggered to assign the adjudication task to the designated recruitment operations personnel terminal.

6. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, Based on the existence determination result of the edited identity identifier in the talent database, the corresponding data reconstruction strategy execution module is invoked, including: Using the edited identity identifier as the query key, a matching search is performed in the talent database; Based on the results returned by the matching search, an existence determination is performed, including: If a unique matching talent master record is found, it is determined that the corresponding talent record already exists; If no matching record is found, it is determined that there is no corresponding talent record. The existence determination result and the context information of the editing request are encapsulated to generate a strategy selection instruction; Based on the determination result indicated in the strategy selection instruction, the corresponding data reconstruction strategy execution module is dynamically instantiated and called from the pre-registered strategy factory. The strategy factory is at least registered with a first strategy execution module for processing the corresponding existing talent record and a second strategy execution module for processing the corresponding no talent record.

7. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, If it is determined that a talent record already exists corresponding to the edited identity identifier, then talent merging and data migration operations will be performed, including: Identify the target talent record corresponding to the edited identity, and the source talent record associated with the target resume; Construct a data mapping relationship from the source talent record to the target talent record, wherein the data mapping relationship at least covers the resume entity, the candidate entity and their associated business history data; Based on the data mapping relationship, a transactional data migration operation is initiated to atomically migrate and associate the specified data set associated with the source talent record with the target talent record. After confirming the successful completion of the transactional data migration operation, the source data cleanup logic is executed to evaluate the status of the source talent record. If the preset redundancy judgment conditions are met, the source talent record is marked as archiveable or logically deleteable.

8. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, If it is determined that there is no corresponding talent record for the edited identity identifier, then the creation and association of a new talent record will be performed, including: Based on the edited identity and the relevant resume data in the edit request, a core attribute set for the new talent record is generated; In the talent database, based on the core attribute set, a new talent master record is created, and a globally unique talent identifier is assigned to the record; Bind the latest data version of the target resume to the newly created talent master record to establish an attribution association between the resume entity and the talent entity; Based on the original recruitment process context associated with the target resume, the corresponding candidate record is updated, and its assigned talent identifier is changed to the newly assigned talent identifier, thereby completing the reconstruction of the business data association.

9. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, After the data reconstruction strategy execution module completes its execution, the unified data synchronization engine is invoked to perform atomic synchronization and consistency verification of the relationships between resume entities, talent entities, and candidate entities, including: Receive an operation completion event and a data change summary from the data reconstruction strategy execution module, wherein the data change summary at least describes the affected entity type and key identifier; The unified data synchronization engine generates an ordered sequence of relationship synchronization instructions based on the data change summary. The instruction sequence is used to sequentially update the foreign key relationships and status references between the resume entity, talent entity, and candidate entity within the transaction boundary. The sequence of synchronization instructions for the association relationship is executed, and during the execution process, the integrity and constraint consistency of the data references between the association triples are verified in real time. The association triples are configured as resume-talent-candidate. After the instruction sequence is executed, an eventual consistency checkpoint is triggered to verify that all affected inter-entity relationships have reached the expected state and to generate a data synchronization completion confirmation event.

10. The method for preventing conflicts and reconstructing talent data in resume editing within a recruitment system according to claim 1, characterized in that, Record the entire operation log from conflict detection to data synchronization completion after the identifier change event is triggered, generating a traceable transaction execution chain, including: When the identifier change event is triggered, a globally unique transaction tracking identifier is generated and injected into the execution context of all subsequent sub-steps; Before and after each key sub-step of conflict detection, strategy selection, data reconstruction and data synchronization, the corresponding execution module sends a structured log event to the central log service. The structured log event includes at least the transaction trace identifier, step type, input parameter snapshot, output result and timestamp. The central log service collects and sorts all received structured log events according to the transaction tracking identifier and timestamp, forming an original operation sequence arranged in execution order; Based on a predefined transaction chain model, the original operation sequence is parsed and associated to generate a traceable transaction execution chain containing complete causal relationships, and the transaction execution chain is persistently stored in the audit database.

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