System and method for virtual credential automated flow and multiplexing based on state machine monitoring

Abstract

The application discloses a virtual voucher automatic flow and multiplexing system and method based on state machine monitoring, and relates to the technical field of data processing and benefit distribution. The method comprises the following steps: concurrently and safely accumulating task progress; monitoring the task progress through a state machine, triggering a voucher issuance event when a dynamic judgment threshold is reached; issuing standardized virtual vouchers and returning the task progress to a progress baseline; in response to an exchange request, checking the validity of the vouchers, mapping the vouchers to a target benefit interface according to a routing configuration and canceling the vouchers, and updating the voucher state. The application implements closed-loop control of monitoring, judgment, triggering and return with the state machine as the dispatching center, decouples the task side and the benefit side with the standardized virtual vouchers, realizes adaptive mapping and canceling of the vouchers to multiple target benefits through routing configuration, eliminates the active triggering link of the user, and avoids repeated issuance and over-issuance in the concurrent scenario.

Description

Technical Field

[0001] This application relates to the fields of data processing and rights distribution technology, and in particular to a system and method for automated circulation and multiplexing of virtual credentials based on state machine monitoring. Background Technology

[0002] In digital marketing task scenarios, task progress determination and benefit distribution typically rely on static thresholds and manual interaction triggers. Task, benefit, and order modules are fragmented and lack a unified routing and distribution mechanism. Users need to actively monitor task progress and manually claim benefits upon achieving the goals. A many-to-many direct coupling exists between the task side and various benefit entities, requiring the maintenance of independent data structures and interfaces for each new benefit type. Benefit distribution lacks standardized credential carriers and a unified circulation mechanism, making it difficult to guarantee data consistency across modules under multiple rounds of task incentives. These methods result in lengthy task triggering chains, high coupling between modules, and difficulty in automating task progress determination and benefit distribution in high-concurrency scenarios. Summary of the Invention

[0003] To address the shortcomings of existing technologies, such as reliance on static thresholds and manual triggering for task progress determination, many-to-many coupling between the task side and the benefit side, and the lack of a unified routing and distribution mechanism, this application provides a system and method for automated circulation and multiplexing of virtual vouchers based on state machine monitoring. This method and system implement closed-loop control of task progress monitoring, determination, triggering, and rollback through a state machine. It decouples the task side and the benefit side using standardized virtual vouchers and adaptively maps vouchers to target benefit interfaces for resale through routing configuration. This eliminates the need for user-initiated triggering and manual retrieval, achieving automated connection between task progress determination and voucher issuance, as well as multiplexing of a single voucher to multiple target benefits. Specifically, this application provides the following technical solutions:

[0004] This application provides a method for automated circulation and multiplexing of virtual vouchers based on state machine monitoring, applied to a task progress monitoring and rights distribution system, including:

[0005] Concurrent and safe accumulation of task progress;

[0006] The task progress is monitored by a state machine, and a voucher issuance event is triggered when the task progress reaches a dynamic judgment threshold.

[0007] In response to the credential issuance event, a standardized virtual credential is issued, and the task progress is rolled back to the progress baseline;

[0008] In response to the redemption request, the validity of the standardized virtual certificate is verified, the standardized virtual certificate is mapped to the target rights interface according to the routing configuration and cancelled, and the status of the standardized virtual certificate is updated.

[0009] Optionally, the concurrent and secure accumulation of task progress includes: determining a single progress increment based on the load context, network context, and identity context, and accumulating the task progress based on the single progress increment.

[0010] Optionally, the concurrent and secure accumulation of task progress further includes: performing concurrency control on the task progress accumulation operation using version number verification; and merging the single progress increment with the currently accumulated task progress and retrying the accumulation when version number verification fails.

[0011] Optionally, the state machine includes seven states, which correspond to the transition stages of task initialization, progress accumulation, achievement determination, voucher distribution, distribution completion, baseline rollback, and task completion, respectively. When the state machine performs the critical transition from achievement determination to voucher distribution, a distributed lock is used to serialize concurrent requests so that only one request for the same task triggers voucher issuance.

[0012] Optionally, the standardized virtual credential includes a credential code, a user identifier, and an issuance batch number; when issuing the standardized virtual credential, idempotent issuance is performed based on the credential code, and the same credential is issued only once.

[0013] Optionally, rolling back the task progress to the progress baseline includes: after successfully issuing the standardized virtual credential, rolling back the task progress to the progress baseline through a local transaction; and achieving eventual consistency between credential status and progress status updates across data sources through an asynchronous message queue.

[0014] Optionally, the routing configuration includes a routing configuration table that records the correspondence between benefit types and target benefit interfaces. Mapping the standardized virtual credential to the target benefit interface and verifying it according to the routing configuration includes: performing multi-level addressing based on channel-specific matching, business type matching, and global default priorities to determine the target benefit interface; mapping the fields of the standardized virtual credential to the input parameters of the target benefit interface according to the input parameter template, and calling the target benefit interface to complete the verification.

[0015] Optionally, the method further includes: generating a business order in response to a redemption request, and managing the state of the business order through an order state machine, the order state machine including a pending state, a successful processing state, and a failed processing state; and re-executing the reconciliation when the business order is in a failed processing state.

[0016] This application also provides a virtual voucher automated circulation and multiplexing system based on state machine monitoring, including:

[0017] The progress accumulation module is used to accumulate task progress concurrently and safely.

[0018] The state machine determination module is used to monitor the task progress through the state machine and trigger a voucher issuance event when the task progress reaches a dynamic determination threshold.

[0019] The voucher issuance module is used to respond to the voucher issuance event, issue standardized virtual vouchers, and roll back the task progress to the progress baseline;

[0020] The routing and distribution module is used to respond to the redemption request, verify the validity of the standardized virtual certificate, map the standardized virtual certificate to the target rights interface according to the routing configuration and cancel it, and update the status of the standardized virtual certificate.

[0021] Optionally, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method.

[0022] Beneficial effects

[0023] This application uses a state machine as the scheduling hub to implement closed-loop control of task progress monitoring, judgment, triggering, and rollback. It automates the process of determining task progress achievement and issuing vouchers, eliminating the need for users to actively monitor progress and manually claim benefits. By enabling concurrent and secure accumulation of task progress and rolling back the progress baseline after voucher issuance, it avoids duplicate and over-issuance in concurrent scenarios. Standardized virtual vouchers serve as the decoupling carrier between the task side and the benefit side. A single voucher carries the lifecycle of multiple benefit categories, eliminating the need for the task side to be aware of benefit-side differences. Through routing configuration, vouchers are adaptively mapped to target benefit interfaces for verification. The front-end does not need to be aware of heterogeneous benefit interface differences; adding new benefit categories only requires updating the routing configuration for integration, achieving multi-path reuse and unified verification of vouchers for multiple target benefits. Attached Figure Description

[0024] Figure 1 A flowchart illustrating the automated circulation and multiplexing method for virtual credentials based on state machine monitoring provided in this application embodiment;

[0025] Figure 2 A schematic diagram of the architecture of a virtual credential automated circulation and multiplexing system based on state machine monitoring provided in an embodiment of this application;

[0026] Figure 3 A schematic diagram illustrating the state transition process of the state machine provided in this application embodiment;

[0027] Figure 4 A schematic diagram illustrating the dynamic weight calculation and concurrent accumulation process provided in the embodiments of this application;

[0028] Figure 5A schematic diagram illustrating the certificate issuance and baseline rollback process provided for embodiments of this application;

[0029] Figure 6 A schematic diagram illustrating the routing distribution and verification process provided in this application embodiment;

[0030] Figure 7 A schematic diagram illustrating the order status transition provided in this application embodiment;

[0031] Figure 8 A schematic diagram illustrating the sorting weight mapping relationship provided in an embodiment of this application;

[0032] Figure 9 This is a schematic diagram of a three-layer consistency guarantee structure provided in an embodiment of this application. Detailed Implementation

[0033] In digital marketing scenarios, task progress monitoring, benefit distribution, and order management are typically handled by independent modules, requiring users to manually claim benefits after task completion. This embodiment provides a method for task progress monitoring and benefit distribution systems. These systems can be deployed in client-side formats such as mini-programs, cross-platform applications, or web applications, with the client and server connected via a secure network channel. The client includes an interaction layer, a component layer, a state management layer, and a network interaction layer. The server includes a server-side business layer, and a data adaptation module is also provided between the server-side business layer and the client. The state management layer incorporates a multi-dimensional context dynamic weight calculation engine and a full-link progress state machine. The server-side business layer handles atomic calculation of task progress, standardized virtual voucher issuance, multi-category routing distribution, and order status management.

[0034] like Figure 1 As shown, the virtual voucher automated circulation and multiplexing method based on state machine monitoring provided in this embodiment is applied to a task progress monitoring and rights distribution system, and includes the following steps:

[0035] S000, System Initialization and Calibration.

[0036] Upon system startup, the configuration loader reads the task definition table, weight coefficients, baseline thresholds, and routing configuration table from persistent storage. The task definition table records the baseline increment and baseline threshold for each task; the weight coefficients include load correction coefficients and network correction coefficients; the routing configuration table records the correspondence between benefit types and target benefit interfaces. Load correction coefficients typically range from 0 to 1, and in this embodiment, they are 0.12; network correction coefficients typically range from 0 to 1, and in this embodiment, they are 0.08; baseline thresholds are set as a percentage, and in this embodiment, they are 100; baseline increments are typically configured by operations within the range of 1 to 1000, and in this embodiment, the baseline increment for task T1 is 20. After configuration loading is complete, the system establishes a progress record and a state machine instance for each user and task combination. The initial progress of the progress record is initialized to 0, the optimistic locking version number is initialized to 0, the initial state of the state machine is the task initialization state, and the baseline progress value for each task is initialized to 0. The state machine initializer creates a state machine instance for each user and task combination. The task initialization state remains until the first task progress update event is received, and then transitions to the progress accumulation state after the first task progress update event arrives.

[0037] After the routing configuration table is loaded, a routing configuration version number is generated, initially with a value of 1. This version number is incremented during hot updates of the routing configuration table. The routing configuration version number is sent back to the addressing stage along with the redemption request. The verification details record the configuration version used for addressing, facilitating the later location of addressing rules. The weight engine is initialized with a load correction coefficient of 0.12, a network correction coefficient of 0.08, and a baseline threshold of 100. These parameters remain unchanged during runtime and are only reloaded during hot configuration updates. If the routing configuration table loading fails, the system must not enter the redemption process to prevent missing addressing rules from causing vouchers to be unverifiable. If a configuration item is missing or the weight coefficient exceeds the range of 0 to 1, the system refuses to start and outputs an alarm, remaining in an unready state. The configuration loader verifies each item in the task definition table: the baseline increment must be positive and not exceed 1000, the baseline threshold must be positive, and the weight coefficient must be within the open range of 0 to 1. Failure to pass any of these verifications indicates an incomplete configuration. The user identity tier table records the identity factor values ​​of privileged users and ordinary users for the weight engine to query during accumulation.

[0038] The cold start sequence is as follows: The task definition table and user identity profile table are read; configuration integrity is verified; the weight engine is initialized with load correction coefficients, network correction coefficients, and baseline thresholds; the routing engine loads the routing configuration table and generates an initial version number; finally, a progress record and state machine instance are established for each user and task combination. The state machine factory instantiates state machines in batches according to task dimensions. Each instance maintains an independent current state and event queue, without interference, supporting parallel processing of multiple tasks. For example, if the baseline increment for task T2 is missing in the task definition table, configuration verification fails, the system refuses to start and outputs an alarm, remaining in an unready state until the configuration is repaired and reloaded.

[0039] S100, interactive triggering and accidental touch blocking.

[0040] The interaction layer listens for user touch events, obtaining the coordinates of the touch start point, the touch end point, and the event timestamp. The event timestamp is also used for the time parameter generation in the cooldown window determination and signature request. The sliding displacement determiner calculates the Euclidean distance from the touch start point to the touch end point. If the Euclidean distance does not exceed 10px, it is determined as a valid click; otherwise, it is determined as a swiping mis-touch and the event is blocked. Events determined as valid clicks carry a unique entity identifier to the next step of the process. The unique entity identifier is used for subsequent identity verification and dimensional positioning for progress accumulation. The sliding displacement determiner calculates the Euclidean distance using the touch start point and touch end point coordinates. The square root calculation of the Euclidean distance is completed locally on the client and does not generate a network request. The displacement threshold is configurable within the range of 5px to 15px. The smaller the threshold, the more sensitive it is to sliding. This embodiment uses 10px to balance swiping mis-touch blocking and valid click allowing.

[0041] When an event is intercepted, the interaction layer marks the interception result as pending and prevents it from entering the request pipeline. The user can re-initiate the operation after the cooldown window ends. The cooldown timer uses the timestamp of the most recent valid operation as a reference. If the interval between the current event timestamp and the timestamp of the most recent valid operation is less than 600ms, it is determined to be a duplicate trigger and the event is discarded; if the interval is not less than 600ms, it is allowed. Displacement judgment intercepts invalid requests caused by accidental swipes, and the cooldown window intercepts redundant requests caused by duplicate triggers. These two gates work together to reduce the impact of invalid requests on the server. For allowed events, the timestamp of the most recent valid operation is updated to the current event timestamp, serving as a new reference for subsequent cooldown judgments. Touch coordinates are based on the client page coordinate system, with the start and end coordinates taken from the press and release positions of the touch event.

[0042] The cooling window employs fixed-window throttling semantics, allowing at most one valid report within the same window. For example, the cooling window can also be implemented based on debouncing or throttling mechanisms; this embodiment uses fixed-window throttling, which has clear semantics and low implementation overhead. The displacement threshold is typically configurable within the range of 5px to 15px; in this embodiment, it is set to 10px. The cooling window is typically configurable within the range of 300ms to 1000ms; in this embodiment, it is set to 600ms.

[0043] For example, when a user clicks the "Complete Purchase Task" button, if the touch start point is (100, 200) and the touch end point is (101, 201), the displacement distance is approximately 1.41px, which is less than 10px. Furthermore, if the last valid operation occurred 2 seconds ago, exceeding the 600ms cooldown window, this event is considered a valid task completion event and enters the identity verification process. If the touch end point is (180, 260), the displacement distance is approximately 100px, exceeding 10px, and the event is intercepted, not entering the request pipeline. If the last valid operation occurred only 300ms ago, the event is also intercepted.

[0044] S200, Identity Verification and Security Request Construction.

[0045] The state management layer reads the user identity token from the local cache and verifies its validity. The verification criteria are that the token exists, has not expired, and matches the local user identifier; if the token is missing or expired, the system redirects to the identity verification page and terminates the current process.

[0046] User identity tokens are persistently stored locally in the state management layer. Upon client restart, the identity verification state can be restored locally without repeated login. When a token expires, the local cache is cleared and the user is redirected to the identity verification page. Token validity verification is performed locally on the client without initiating a network request. Only after successful verification does the request enter the signing and sending process. The request construction order is parameter sorting, concatenation, signing, and token encapsulation. The server-side signature verification order is signature verification first, then token verification, with symmetrical processes on both ends. The digital signature output by the HMAC-SHA256 algorithm is a 64-bit hexadecimal string. The signature key is negotiated and maintained by the server and client and is not transmitted with the request. The signature key is generated by the server and client during the initial handshake and is periodically rotated. During the rotation, the old and new keys are effective concurrently, ensuring that requests in transit can be verified. After successful verification, the network interaction layer sorts the request parameter key names in ascending lexicographical order and in ascending ASCII order. The key-value pairs in the string to be signed are separated by ampersands, and parameters with empty values ​​are not included in the concatenation. The sorted parameters are concatenated into the string to be signed, and the HMAC-SHA256 algorithm is used to generate a digital signature on the string to be signed with the signing key. The request parameters, digital signature, and identity token are then encapsulated into a signed request and sent to the server via POST.

[0047] The server verifies the signature and token, recalculating the signature using the same lexicographical concatenation rules and signing key. This recalculated signature is then compared to the digital signature carried in the request. If they match, the server verifies the validity of the identity token. The request is only accepted if both verifications pass; otherwise, it is rejected. The request cache uses the interface identifier and parameter hash as keys. The corresponding entry is cleared when the server issues an expiration command or when the cache reaches its expiration date. Once signed, the request is no longer cached to prevent the reuse of expired data. For example, if the request parameters are tampered with during transmission, the server-recalculated signature may not match the digital signature carried in the request, resulting in signature verification failure. The server rejects the request and records a security alert.

[0048] For example, user U1's local cache contains the identity token tk_abc123, which has not expired and is valid. The request parameters include task_id equal to T1, action equal to complete, and ts equal to 1724400000. These key names are concatenated in ascending ASCII order to form a string to be signed: action = complete, task_id = T1, and ts = 1724400000. A digital signature is generated and then sent along with the identity token in a POST request. If the user fails to complete identity verification, the identity token is empty, the system redirects to the verification page, the process terminates, and no further signature request is generated.

[0049] S300 allows for the concurrent and secure accumulation of task progress.

[0050] like Figure 4 As shown, the server performs dynamic weight calculation and concurrent accumulation within an atomic transaction. The server receives a signed request, which carries a task identifier and user identity. The server collects real-time system load, network context, and user identity factors. The network context factor is obtained by the client querying its local mapping table according to the current network type and reporting candidate values ​​with the request. The server determines the final value based on the network mapping table configured by operations. The user identity factor is determined by the server according to the user-level tier table. The real-time system load factor is the larger of the ratio of the current request volume to the cluster peak capacity and the CPU utilization rate. The load factor ranges from 0 to 1, with a value not less than 0.8 indicating high load. Real-time system load is collected by the cluster monitoring component; real-time request volume is the request count within the current time window; cluster peak capacity is the maximum value specified during capacity planning; and CPU utilization is the average value of service instances. Real-time system load is collected and cached at fixed intervals, with each request directly reading the cached value to avoid latency introduced by repeated collection for each request. The network context factor is mapped according to network type: weak networks (2G / 3G) are mapped to higher correction values, while 4G / 5G / WiFi are mapped to higher correction values. The mapping of lower correction values ​​for network context factors is configured by the operator. For example, the network context factor for high-speed networks (4G / 5G / WiFi) is 0.95, and for weak networks (2G / 3G) it is 1.05. The value range of the network context factor is constrained to 0.9 to 1.1, and the correction magnitude is limited by the network correction coefficient. Except for the high-speed and weak network tiers, the intermediate network tier is configured by the operator in the mapping table, with each tier's value falling within the range of 0.9 to 1.1. The user identity factor is 0.95 for privileged users or 1.00 for ordinary users. The user identity factor is bound to the user dimension and determined by the user identity tier table according to user category. The identity factor remains consistent for the same user across different tasks, ensuring uniformity in judgment criteria.

[0051] The server calculates the single progress increment based on the baseline increment, load factor, network context factor, and user identity factor. The calculation formula is as follows: Where N is the network context factor, ranging from 0.9 to 1.1; the load correction coefficient is usually between 0 and 1, and is 0.12 in this embodiment; the network correction coefficient is usually between 0 and 1, and is 0.08 in this embodiment; the load correction coefficient of 0.12 makes the increment amplified by about 10.2% when under high load (L=0.85), and the network correction coefficient of 0.08 makes the compensation of about 0.4% when under weak network (N=1.05). In typical scenarios, the single increment is controlled in the range of 99.2% to 110.6% of the baseline increment, taking into account both peak shaving and valley filling effects and over-issuance risk. The two coefficients can be adjusted in the range of 0 to 1 according to the operation strategy. Increasing the coefficients will enhance the corresponding modulation strength; the baseline increment is usually configured by the operation in the range of 1 to 1000. In this embodiment, the baseline increment of task T1 is 20.

[0052] The incremental calculator first calculates the load correction item. With network correction items The increment is then multiplied by the baseline increment. The calculation is performed in the server's memory, without database read / write operations. The result is passed as an input parameter to the accumulation transaction. The dynamic weight formula is executed in the order of parentheses, multiplication and division, addition and subtraction. The incremental calculation result is deterministic and reproducible. Before accumulation, the incremental calculation result undergoes a non-negativity check. Abnormal results are rejected for accumulation and an alarm is recorded to prevent dirty data from entering the progress record. The network type is collected during each request construction. After a network switch, the next request automatically carries the candidate value corresponding to the new network type. The load correction coefficient determines the sensitivity of the increment to load changes. The larger the value, the stronger the increment amplification under high load. The network correction coefficient determines the strength of weak network compensation. The larger the value, the more obvious the increment compensation under weak network. The dynamic weight engine modulates the single progress increment based on the load context, network context, and identity context: the higher the system load, the larger the single progress increment, guiding users to achieve progress with fewer operations during high load periods, achieving peak shaving and valley filling; amplifying the single increment in weak network environments to compensate for interaction losses caused by network conditions; and allowing privileged users to achieve their goals with lower barriers.

[0053] Three context factors work together to modulate the increment, ensuring the progress accumulation rate matches the system's real-time state and user attributes. For example, in a high-speed network and low-load scenario, a typical user uses a load factor of 0.3 and a network context factor of 0.95, resulting in a single progress increment of... .

[0054] like Figure 9 As shown, the concurrent accumulation is handled by the optimistic locking layer in the three-layer consistency guarantee structure. The server reads the task progress record, which includes the original progress, the optimistic lock version number, and the increment to be merged. The task progress record is persisted in the task progress table, using the user identifier and task identifier as a composite primary key, and records the three fields: original progress, optimistic lock version number, and increment to be merged, for read and write operations such as accumulation, judgment, and rollback.

[0055] During the accumulation process, the optimistic lock version number of the current record is checked against the version number read at the time of reading. If they match, the original progress is added to the single progress increment, the optimistic lock version number is incremented by 1, and the process is committed. If they do not match, the latest progress record is read, the increment to be merged is merged with the current single progress increment, and the accumulation is retried. The increment to be merged records the most recently successfully committed increment, ensuring that concurrent increments are not lost. The accumulation process does not require locking the entire progress table. Version number verification and updates (reading, comparing, and writing) are completed within the same atomic transaction, avoiding race windows between checks and updates. During conflict retries, the increment to be merged records the most recently successfully committed increment, ensuring that concurrent increments are not lost and are not accumulated repeatedly.

[0056] The three-layer consistency guarantee structure consists of an optimistic locking layer, a distributed locking layer, and a transactional message layer from bottom to top: the optimistic locking layer guarantees atomic accumulation of a single progress record; the distributed locking layer serializes the critical migration from achievement determination to voucher distribution; and the transactional message layer guarantees the atomicity of voucher storage and progress rollback through local transactions, and achieves eventual consistency across data sources through asynchronous message queues. Each layer manages a consistency boundary at a specific level, collaboratively eliminating duplicate and over-issuance paths. The optimistic locking layer replaces full-table locking with version number verification, suitable for high-concurrency writes; the distributed locking layer only operates on the critical migration from achievement determination to voucher distribution, with fine-grained locking and short holding time; the transactional message layer covers voucher storage and progress rollback with local transactions, and covers cross-data source updates with asynchronous message queues, avoiding the long transaction overhead of distributed transactions. Accumulation transactions use row-level isolation, and concurrent updates of progress records for the same task are arbitrated by the optimistic locking version number, ensuring that progress records of different tasks do not block each other, supporting parallel accumulation of multiple tasks.

[0057] For example, in a low-speed network and peak load scenario, a privileged user (identity factor 0.95) uses a load factor of 0.85 and a network context factor of 1.05, with a single progress increment of... For example, in a medium-load and high-speed network scenario, a typical user uses a load factor of 0.5 and a network context factor of 0.95, with a single progress increment of... Comparing the 20.64 in the low-load scenario with the 22.12 in the peak scenario, the single progress increment monotonically increases with the load factor, demonstrating the modulation effect of peak shaving and valley filling. Continuing with the privileged user peak load scenario (identity factor 0.95, load factor 0.85, network context factor 1.05, single progress increment 22.12), if the current original progress is 60, the optimistic lock version number is 5, and there are no concurrent conflicts, the accumulated original progress is 82.12, and the optimistic lock version number is updated to 6. If concurrent request A and request B simultaneously read version number 5, request A submits first, accumulating the original progress from 60 to 82.12 and updating the version number to 6; request B detects the version number inconsistency, merges request A's increment of 22.12, and retryes the accumulation, ultimately continuing to accumulate based on the original progress of 82.12, ensuring that the increment is not lost and the progress is consistent in the concurrent scenario.

[0058] S400: The task progress is monitored by a state machine, and a voucher issuance event is triggered when the task progress reaches a dynamic judgment threshold.

[0059] like Figure 3As shown, the end-to-end progress state machine comprises seven states, corresponding to the transition stages of task initialization, progress accumulation, target achievement determination, voucher distribution, distribution completion, baseline rollback, and task completion. The state machine is driven by three elements: states, events, and atomic actions. The task initialization state transitions to the progress accumulation state upon receiving a task progress update event; thereafter, each atomic accumulation triggers a progress update event. The target achievement determination state transitions to the voucher distribution state upon triggering a progress achievement event and executes the issuance trigger action. The voucher distribution state transitions to the distribution completion state upon triggering a issuance success event, then transitions to the baseline rollback state via a baseline rollback event, and finally transitions to the task completion state upon triggering a task completion event, completing one end-to-end closed-loop transition. All state machine transitions are event-driven, with events generated by progress accumulation, target achievement determination, issuance callback, and baseline rollback. Events carry the data payload required for the transition, and state transition actions are executed atomically within the event processing thread.

[0060] State transitions and binding actions are executed atomically within the same event handling thread. If a transition fails, the state rolls back to the state before the transition, without generating intermediate states. Internally, the state machine uses state codes to identify the current state, with each state code corresponding to a Chinese state name. Chinese state names are used consistently throughout the document to avoid confusion.

[0061] The current state of the state machine is persisted in the task state table. After the server recovers from a failure, the state machine instances of each task can be restored from the task state table, avoiding duplicate or missed delivery caused by state loss. The server calculates a dynamic judgment threshold, which is the product of a baseline threshold and a user identity factor, i.e. Where T_base is the baseline threshold, and M is the user identity factor (0.95 for privileged users or 1.00 for ordinary users); the baseline threshold is a percentage value, and in this embodiment, it is 100; the user identity factor is 0.95 for privileged users or 1.00 for ordinary users. The dynamic judgment threshold is modulated by the user identity factor, and privileged users are triggered to issue rewards earlier with a lower threshold, realizing differentiated judgment and priority scheduling; for example, in another embodiment, the dynamic judgment threshold can also be modulated by the system load factor, and the judgment threshold can be lowered in high-load scenarios to smooth out peaks and valleys. This variant and identity factor modulation can be used independently or in combination. The state machine reads the accumulated original progress and the dynamic judgment threshold, compares the accumulated original progress with the dynamic judgment threshold, and determines whether the original progress has met the standard. The original progress read by the state machine judgment module comes from the latest value after the accumulated transaction is committed, which is consistent with the persistent progress record data. The judgment formula is as follows: Upon reaching the target, the process transitions from the progress accumulation state to the target determination state. The comparison between the original progress and the dynamic determination threshold is a direct numerical comparison, with progress supporting decimal precision and no rounding in the determination. The state machine executes the target determination immediately after each accumulation transaction is committed, with a determination delay in the millisecond range. Upon reaching the target, a distribution event is triggered, achieving automated connection between progress achievement and voucher distribution.

[0062] For example, the dynamic determination threshold for privileged users is: When the accumulated original progress reaches 82.12, it does not reach the dynamic judgment threshold of 95. The state machine maintains the progress accumulation state, and the system outputs a real-time progress rendering instruction to the client. The client component layer refreshes the progress display according to the rendering instruction. When the threshold is not reached, it maintains the progress accumulation state and waits for the next progress update event. When the threshold is reached, the client automatically switches the page operation controls and globally polls to indicate that there are pending vouchers, guiding the user into the redemption process. When the accumulated original progress reaches 104.24, it meets the judgment condition of not less than 95. The state machine transitions from the progress accumulation state to the threshold judgment state and triggers the voucher issuance event.

[0063] like Figure 9 As shown, during the critical transition from qualification determination to credential distribution in the state machine, concurrent requests are serialized using a distributed lock. The distributed lock uses user identifiers and task identifiers as lock dimensions and is implemented using Redis or ZooKeeper. In the Redis implementation, a lock key is placed using the SETNX command; in the ZooKeeper implementation, a temporary sequential node is used. The lock key is constructed by concatenating the user identifier and task identifier. Only one request per task can acquire the distributed lock and trigger credential issuance; other concurrent requests fail quickly and return a "processing in progress" message. The acquisition and release of the distributed lock are tied to the critical transition of the state machine: when entering the qualification determination state, the lock is acquired; after the credential distribution action is completed, the lock is released. The lock holding period coincides with the state transition period, ensuring that only one request completes qualification locking and issuance triggering within the critical section of the same task.

[0064] The time spent in the compliance determination state is no more than 100ms, and the lock holding period covers both the compliance locking and the issuance triggering action. Compliance determination is executed before lock acquisition; requests that do not meet the criteria do not participate in lock contention. Lock contention only occurs between requests that have passed the compliance determination, reducing the frequency of lock contention. The lock's lifetime is 3 seconds to cover the compliance determination time and the completion margin of the issuance triggering action. The lock is automatically released upon timeout and retry is supported. Lock acquisition failure is handled quickly with a "processing in progress" message, avoiding excessive blocking of the main link. For example, lock acquisition can also employ a limited number of retries; if the retry still fails, a "processing in progress" message is returned.

[0065] For example, if two concurrent requests reach the dynamic judgment threshold at the same time, request A successfully acquires the distributed lock and triggers the credential issuance event, while request B fails to acquire the distributed lock and returns a processing prompt, thus avoiding the repeated triggering of credential issuance for the same task.

[0066] S500, in response to the credential issuance event, issues a standardized virtual credential and rolls back the task progress to the progress baseline.

[0067] like Figure 5 As shown, in response to the credential issuance event, the server performs credential issuance and baseline rollback. The credential issuer constructs a standardized virtual credential, which includes a credential code, a user identifier, and an issuance batch number. The credential code is a globally unique identifier, and the issuance batch number serves as an idempotent key.

[0068] The batch number is generated based on the issuance time and issuance dimension. The batch number serves as an idempotent key for deduplication in the downstream rights generation interface. The batch number identifies a single issuance action, while the voucher code identifies a single voucher. Each issuance batch corresponds to one voucher, and the two have a clear division of labor in idempotency and traceability. When standardized virtual vouchers are stored in the database, the voucher code, user identifier, batch number, and pending redemption status are recorded, along with the issuance time and task identifier, for sorting, rendering, routing, and verification queries. Standardized virtual vouchers are not bound to specific rights types; they serve only as a decoupling mechanism between the task side and the rights side. A single voucher can support the lifecycle of multiple types of rights. The task side does not need to be aware of differences on the rights side, and changes or additions to the rights side do not affect the task side logic.

[0069] For example, in another embodiment, the standardized virtual voucher can also be carried in the form of a redemption code or a coupon. The redemption code is a fixed-length character sequence, and the coupon carrier is bound to the effective time and applicable scope. Each carrier uses the issuance batch number to ensure idempotency of issuance. The voucher code generation rule is a combined hash of the task code and the issuance batch number, ensuring global uniqueness and traceability. Multiple issuance batches of the same task generate different voucher codes to avoid code conflicts. The voucher issuer calls the downstream rights generation interface with the issuance batch number as the idempotency key. The same issuance batch is issued only once. When repeated requests carry the same issuance batch number, the downstream interface directly returns the first issuance result without regenerating rights, thus preventing duplicate issuance from the source. When calling the downstream rights generation interface, the server constructs the call parameters with the issuance batch number as the idempotency key. The downstream interface returns the unique identifier of the rights and the effective time. The server associates the returned result with the voucher for storage, for traceability during subsequent verification. After a successful call, the standardized virtual voucher is stored in the database and marked as pending redemption. The state machine transitions from the voucher distribution state to the distribution completed state.

[0070] like Figure 9As shown, after successful voucher storage, the server rolls back the task progress from its current value to a baseline value (0) through a local transaction, and updates the task status to task completion. The state machine then transitions sequentially to baseline rollback and task completion. The baseline rollback pause time is no more than 50ms. Voucher storage and progress rollback are within the same local transaction boundary, and both succeed or roll back simultaneously, ensuring the atomicity of issuance and rollback. Cross-data source voucher status updates and progress status updates achieve eventual consistency through an asynchronous message queue. If message consumption fails, a compensation process is initiated for re-delivery, ensuring data consistency under multiple rounds of task incentives. The local transaction covers three write operations: voucher storage, progress rollback, and task status update. Failure of any write operation results in an overall rollback. Asynchronous message consumption is idempotent, and repeated delivery does not generate duplicate updates. For example, in another embodiment, the progress baseline can also be a non-zero initial baseline value set when the task starts, and progress rollback rolls back the current progress to this initial baseline value.

[0071] For example, after user U1's task T1 is completed, issuance is triggered, generating a voucher code of VC-T1-8f3a and an issuance batch number of B20260824001. The downstream rights generation interface returns success, the voucher is stored in the database and marked as pending redemption. Within the same local transaction, the task progress rolls back from 104.24 to the baseline value of 0, the optimistic lock version number is updated from 7 to 8, and the task status is updated to task completion. If the downstream rights generation interface call times out, the call enters the retry queue and retryes exponentially, with a maximum of 3 retries; if the retry still fails, the voucher write is rolled back, the progress lock is released, the state machine rolls back to the progress accumulation state, and a failure log is recorded. The mapping relationship between voucher status and list status codes is as follows: pending redemption status is mapped to pending use status and assigned a sorting weight of 0; redeemed status is mapped to redeemed status and assigned a sorting weight of 2; pending activation status is a reserved bit in the weight system, reserved for future activation of valid vouchers. After the progress baseline is rolled back, the task progress is reset to zero, and the state machine re-enters a new round of task flow from the task completed state. Users can participate in the task again and accumulate progress, supporting multiple rounds of task incentives. The voucher issuance transaction includes three stages: voucher code generation, downstream call, and voucher storage. If the downstream call fails, the transaction is rolled back, and the voucher code is not stored to avoid the creation of orphan vouchers.

[0072] Issued batch numbers are persistently recorded. When duplicate issuance requests carry the same batch number, the system directly returns an already issued result. Batch number records are stored in the same database as voucher records to ensure consistency between idempotency checks and voucher queries. Standardized virtual vouchers go through two states during their lifecycle: pending redemption and verified. The pending redemption state is entered after issuance and the verified state is entered after successful verification. The transition between these two states is unidirectional and irreversible. Baseline rollback is executed after successful voucher placement; rollback does not precede issuance to avoid misalignment of progress reversal and unissued voucher status.

[0073] S600, data adaptation and multi-entity sorting rendering.

[0074] The data adaptation module parses heterogeneous entity data sent by the server, including voucher entities and order entities. For example... Figure 8 As shown, the data adaptation module sorts each entity according to the sorting weight mapping table, and the intermediate voucher entities are sorted by status code mapping weight: the weight of the pending status is 0, and they are sorted in ascending order by effective time; the weight of the pending status is 1, and they are sorted in ascending order by effective time; the weight of the cancelled status is 2, and they are sorted in ascending order by redemption time; the weight of other statuses is 3, and they are sorted in ascending order by creation time; the sorting weight of general business orders is 100, and they are sorted in ascending order by creation time.

[0075] The sorting key is a tuple consisting of a sorting weight and a secondary sorting field, arranged in ascending order. If the sorting weights are the same, they are sorted in ascending order by the time of the secondary sorting field. A stable sorting algorithm is used in the sorting process; entities with the same sorting weight and secondary sorting field maintain their original relative order, ensuring consistent rendering results across multiple rounds. The data adaptation module acts as an independent supporting module between the client and server. Heterogeneous entity data sent from the server is first parsed and sorted by the data adaptation module before being output to the component layer for rendering. The business layer and the presentation layer are not directly coupled. After sorting, the data adaptation module standardizes the heterogeneous entity data into a unified rendering data source. The component layer assigns views and renders the entity list based on the entity state encoding.

[0076] The data adaptation module takes heterogeneous entity data from the server as input and outputs a sorted unified rendering data source. Both input and output are structured data and do not involve network requests. The unified rendering data source includes three parts: an entity list, status codes, and sorting results. The component layer assigns view template rendering based on the status codes. The sorting weight mapping table is statically configured and is either built into the data adaptation module or updated with the server. Secondary sorting fields are assigned values ​​based on entity type: voucher entities take the effective time or redemption time, and order entities take the creation time. The component layer assigns views based on entity status codes: vouchers to be used are rendered as redeemable cards, vouchers to be effective are rendered as effective countdown cards, redeemed vouchers are rendered as historical record cards, and general business orders are rendered as order cards. The heterogeneous normalizer parses voucher entities and order entities into a unified structure. The unified structure includes entity type, status code, sorting weight, and display fields. Parsing rules are assigned based on entity type: voucher entities parse voucher code, status code, and timestamp fields; order entities parse order number, status, and creation time fields. Unknown entity types are discarded and alarms are recorded. Stable sorting ensures that the display order of entities with the same weight is consistent with the data writing order, avoiding the jumping of entity positions during multiple refreshes and improving the determinism of list display.

[0077] For example, user U1's entity list contains three entities: voucher A is in a pending state, with a sorting weight of 0 and an effective time of 08:00; voucher B is in a pending activation state, with a sorting weight of 1 and an effective time of 10:00; and order C is a general business order, with a sorting weight of 100 and a creation time of 09:00. The sorting result is voucher A, voucher B, and order C. Voucher D is in a redeemed state, with a sorting weight of 2 and a redemption time of 07:00. When displayed in the same column as voucher A, the sorting is voucher A and voucher D, with redeemed vouchers displayed later.

[0078] S700, in response to the redemption request, verifies the validity of the standardized virtual certificate, maps the standardized virtual certificate to the target rights interface according to the routing configuration and cancels it, and updates the status of the standardized virtual certificate.

[0079] like Figure 6 As shown, the server responds to redemption requests by performing routing distribution and verification. The routing distribution engine verifies the validity of the standardized virtual credential, including whether the credential code exists, whether the credential is in a pending redemption state, whether the credential is valid, and whether the requester's identity matches the credential holder's. If any verification fails, the redemption request is rejected. The consistency verification between the requester's identity and the credential holder is used to prevent the credential from being impersonated by someone other than the holder. This verification is achieved by comparing the user identifier carried in the request with the user identifier recorded in the credential. The credential validity period is calculated by adding the validity period to the time the credential is stored in the database. The validity period determination is performed at the time of the redemption request. Expired pending redemption credentials are rejected for verification and the user is notified. The credential validity verification is performed serially within the routing distribution engine. If any verification item fails, the subsequent addressing process is terminated to avoid invalid credentials occupying downstream interface resources.

[0080] After successful verification, the routing distribution engine performs multi-level addressing based on the routing configuration table, which records the correspondence between benefit types and target benefit interfaces. Addressing is prioritized and falls back step-by-step according to channel exact matching, business type matching, and global default. If channel exact matching fails, it falls back to business type matching; if business type matching fails, it falls back to global default, ultimately determining the target benefit interface and input parameter template. If all levels fail, an exception response indicating that the benefit type is not supported is returned. When returning an exception response, the response carries an error code and a list of available candidate benefits, which the client uses to prompt the user or guide them to select other benefits. Multi-level addressing falls back step-by-step according to channel, business type, and global default priorities. The channel dimension represents the access channel of the requester, the business type dimension represents the user's business type, and the global default serves as a fallback rule. This step-by-step fallback ensures that the same credential can be addressed to the appropriate benefit interface under different channels and business types, while converging the access cost of adding new benefit categories into a new entry in the routing configuration table.

[0081] The multi-level addresser uses the credential type code and target benefit type as the query key, and performs channel-specific matching, business type matching, and global default matching level by level in the routing configuration table. Each level of matching sorts candidate entries by route priority weight, and returns the interface endpoint and input parameter template upon a match. The routing configuration table is indexed by the credential type code and channel identifier. Multi-level addressing is based on index lookup, and the configuration snapshot resides in memory. The matching process does not generate remote calls. The requester's channel identifier is reported by the client when the request is constructed, identifying the access channel to which the requester belongs. Channel-specific matching uses this identifier as the query key to find the corresponding entry in the routing configuration table. For example, in another embodiment, the routing configuration can also be hosted in a configuration file or a rule engine. The configuration file records the addressing rules in structured key-value pairs, and the rule engine supports dynamic adjudication of target benefit interfaces based on conditional expressions. Both the configuration file and the routing configuration table belong to configuration-driven addressing implementations.

[0082] The routing configuration table includes a credential type code, a requester channel identifier, and a target benefit type enumeration. It also includes the target benefit interface endpoint, benefit interface input parameter template, route priority weight, and activation status fields. For example, the credential type code is VOUCHER_COMMON_001, the requester channel identifier includes CH_ALIPAY, CH_WECHAT, and CH_APP, the target benefit type enumeration includes LOTTERY_DOUBLE, LOTTERY_3D, and DIGITAL_COUPON, and the target benefit interface endpoint includes / api / lottery / double and / api / lottery / 3d. For example, the benefit interface input parameter template includes four parameter bits: user identifier, quantity, business serial number, and extended fields. The input parameter mapper fills in the parameters sequentially according to the template. The extended fields are used to carry additional channel information. Input parameter templates are managed along with routing configuration entries. Template changes take effect with hot configuration updates, and historical templates are archived with configuration versions to ensure traceability of addressing results. The routing configuration table supports dynamic hot updates, incrementing the routing configuration version number and switching configuration snapshots during updates to avoid half-update states. The hot update process is as follows: the management backend writes a new configuration entry, the loader detects the change, generates a new version snapshot and increments the routing configuration version number, and switches the addressing reading source; during the switching process, requests in transit continue to use the old version snapshot until completion, and new requests use the new version snapshot to avoid a half-update state.

[0083] The input parameter mapper maps the common fields of the standardized virtual voucher to the input parameters of the target benefit interface based on the input parameter template. These common fields include user identifier, amount or quantity, and business transaction number. During input parameter mapping, the channel source, request timestamp, and signature parameters are automatically filled in, and the target benefit interface is called to complete the reimbursement. The input parameter mapper parses the common fields item by item according to the input parameter template. Each target parameter in the template is bound to a corresponding common voucher field as its value source. Parameters not covered by the template are filled in with default values. The automatically filled channel source identifies the requester's access channel, the request timestamp is used for timeliness verification and replay prevention in downstream interfaces, and the signature parameter ensures the credibility of the call request. If a common voucher field is missing during input parameter mapping, the mapper fills it in with the template default value or returns a mapping failure. If mapping fails, the downstream interface is not called, and an exception response is returned.

[0084] Upon successful invocation, the voucher status changes from pending redemption to verified status, and the voucher state machine synchronously migrates from pending redemption to verified status. After the migration, the voucher cannot re-enter the routing and distribution process, thus preventing duplicate verification of vouchers at the state machine level. Verification details are recorded, including the target benefit type, redemption time, and downstream transaction number. The redemption time in the verification details is the moment the server-side verification is completed, and the downstream transaction number is the business transaction number returned by the downstream interface. The verification details are associated with the voucher record using the voucher code as the association key, and voucher queries and verification queries share the same data model.

[0085] For example, when a user clicks on voucher VC-T1-8f3a to enter the redemption page, the redemption request is constructed by the client after the user selects the target benefit, carrying the voucher code, target benefit type, and channel identifier. After being signed by the network interaction layer, it is sent to the server-side routing distribution engine. When the user clicks on the voucher entity, the user is redirected to the general redemption page with the voucher code. The client calls the voucher query interface to obtain the list of applicable benefits and status information of the voucher. The query interface is provided by the routing distribution engine and returns an enumeration of redeemable benefits and interface endpoints. The routing distribution engine loads all downstream services applicable to the voucher and generates a list of options. If there is only one applicable service, the service is automatically locked. In multi-service scenarios, a multi-select panel is displayed for the user to choose from. In this embodiment, the routing distribution engine returns options, including Double Color Ball lottery benefits and 3D welfare lottery benefits. The user selects Double Color Ball lottery benefits, and the target benefit type is LOTTERY_DOUBLE. The channel identifier is CH_WECHAT. The channel is precisely matched to the target benefit interface endpoint / api / lottery / double. Input parameters are mapped to generate user identifier U1, quantity 1, and business serial number B20260824001. After completing the channel source, request timestamp, and signature, the target benefit interface is called. Upon successful call, the voucher status is updated to "verified," and the verification details record the target benefit type, redemption time, and downstream serial number. If the voucher is already in a verified state, the routing engine rejects the redemption request and returns a message indicating that the voucher has been used. If the user selects an unconfigured target benefit type, an exception response indicating that the benefit type is not supported is returned.

[0086] S800 generates a business order in response to a redemption request and manages the status of the business order through an order state machine.

[0087] like Figure 7 As shown, in response to a redemption request, the server generates a general business order. This general business order is bound to the standardized virtual voucher, and an order state machine manages the status of the business order. The order state machine includes a pending state, a successful processing state, and a failed processing state: after the order is generated, it is in the pending state. The general business order is generated when the redemption request is submitted. The order record is bound to the voucher code, target benefit type, channel identifier, and business transaction number, serving as the basis for subsequent retries and traceability. The business transaction number is generated when the redemption request is submitted and runs through the entire chain of verification, order, and downstream calls, serving as a unique key for cross-system traceability.

[0088] Redemption requests generate orders idempotently using the business transaction number. Duplicate redemption requests do not generate duplicate orders; instead, already generated orders are reused and their current status is returned. When the downstream reconciliation result returns successful, the order flows to the processing successful state; when the downstream reconciliation result returns unsuccessful, the order flows to the processing unsuccessful state. When an order is in the processing unsuccessful state, reconciliation is re-executed. Reconciliation retries follow the exponential backoff strategy, and the number of retries does not exceed 3. If the retries still fail, the order remains in the processing unsuccessful state, and the reason for the failure is recorded. Retries can be triggered again after operational intervention, and the order falls back from the processing unsuccessful state to the pending state. Orders in the processing successful state are no longer subject to retry scheduling; retries are only performed on orders in the processing unsuccessful state to avoid successful orders being reconciled repeatedly. After the business is completed, orders in the processing successful state flow to the final state.

[0089] The conditions for business completion include: user submission of a completion confirmation request, downstream stakeholders sending back a callback to the final business state, or a business completion timeout trigger. Completion is determined when any one of these conditions is met, closing the loop between the task, voucher, and order. The business completion confirmation request is initiated by the user on the front end. After the server verifies the request's validity, it drives the order from the processed success state to the final state. The three completion conditions are triggered in the order of arrival; completion is determined when any one condition is met. The retry scheduler submits retry tasks for failed orders to the delay queue, extending the delay time successively using an exponential backoff strategy, with a maximum of 3 retries. If a retry is successful, the order flows to the processed success state. After the order flows to the final state, the task state, voucher state, and order state are aligned. The server outputs a loop closure confirmation result, and the client refreshes the entity list accordingly, completing a full loop of task incentives.

[0090] After an order reaches its final state, the order data is retained for business queries. Retry tasks are removed from the delay queue, and the task, voucher, and order data enter a read-only state. Order status and migration time are persisted in the order table. The order query interface returns an order list by user dimension, and the order status flow is traceable. The order state machine engine maintains the order status and migration table. The reconciliation result callback drives the state migration. The migration action includes updating the order status, recording the migration time, and triggering subsequent actions. The migration table is a deterministic mapping. The delay queue calculates the retry delay using an exponential backoff strategy. After the retry task expires, it is resubmitted to the reconciliation executor. The reconciliation executor executes idempotently according to the order serial number to avoid duplicate reconciliation of the same order. The order state machine and voucher state machine flow independently. Order failure retry does not affect the status of already reconciled vouchers. The voucher status and order status are associated through the business serial number and are finally aligned in the final state.

[0091] For example, a redemption request generates order O1, which is bound to voucher VC-T1-8f3a, and its status is pending. General business orders are displayed in the entity list, sorted by weight 100. Order cards are bound to voucher codes; clicking an order card displays the reconciliation details and voucher status. If downstream reconciliation is successful, the order flows to the processing success status. When the user completes the business closure, the order flows to the final state. At this point, the task is in the task completion state, the voucher is in the reconciled state, and the order is in the final state, forming a closed loop for the entire task, voucher, and order business chain. If downstream reconciliation times out, the order flows to the processing failure state. A successful retry of reconciliation restores the order to the processing success state, and then, after business closure, it flows to the final state.

[0092] Based on the same inventive concept, embodiments of this application also provide a virtual credential automated circulation and multiplexing system based on state machine monitoring. For example... Figure 2 As shown, the system adopts a five-layer independent and decoupled architecture, including an interaction layer, a component layer, a state management layer, a network interaction layer, and a server-side business layer. A data adaptation module is set between the server-side business layer and the component layer. The system includes a progress accumulation module, a state machine determination module, a credential issuance module, and a routing distribution module. Each module can be implemented by the processor executing instructions from the memory.

[0093] The interaction layer uniformly handles page rendering, business routing, and touch behavior monitoring, and performs sliding displacement judgment and cooldown window interception; the component layer assigns differentiated views based on entity state encoding; the state management layer caches user identity verification information and has a built-in multi-dimensional context dynamic weight calculation engine and end-to-end progress state machine; the network interaction layer uniformly encapsulates request parameter sorting, digital signature, and identity token authentication; the data adaptation module parses heterogeneous entity data issued by the server and completes multi-entity sorting according to the sorting weight mapping table; the server-side business layer handles task progress atomic calculation, standardized virtual certificate issuance, multi-category routing distribution, and order state machine.

[0094] The client and server connect via a secure network channel. The client is responsible for data collection, identity caching, and request signing, while the server handles progress calculation, credential issuance, routing, and order management. The state management layer maintains a local mirror copy of the state machine instance. The network interaction layer encapsulates all business requests from the state management layer into signed requests. The status receipts returned by the server synchronously update the local mirror copy, ensuring consistency between the client's display and the server's state. Status receipts are returned to the client after each accumulation, issuance, and verification operation. The network interaction layer parses the receipts and triggers the state management layer to update its local mirror copy.

[0095] The standardized virtual voucher entity includes voucher code, user identifier, issuance batch number, and voucher status fields. The general business order entity is bound to the voucher code and records the order status. Both types of entities are uniformly normalized into a rendering data source by the data adaptation module. The progress accumulation module and voucher issuance module are deployed in the server-side business layer. The state machine determination module spans the state management layer and the server-side business layer, and the routing and distribution module is deployed in the server-side business layer. The data adaptation module is deployed as an independent supporting module on the client side, receiving heterogeneous data from the server and outputting a unified rendering data source. The system also includes a memory that stores computer programs. When the processor executes the computer programs, it implements the functions of each module. The modules communicate with each other through an event bus and data interface.

[0096] The progress accumulation module is used to concurrently and safely accumulate task progress. This module resides in the server-side business layer and performs atomic accumulation of task progress using an optimistic locking version number verification and merge retry mechanism. The task progress record includes the original progress, the optimistic locking version number, and the increment to be merged. After accumulation, the original progress and the updated optimistic locking version number are output. After the accumulation transaction is committed, the accumulation result is synchronously returned to the state machine judgment module. The judgment module performs a compliance judgment based on the original progress after the commit, avoiding judgment based on expired progress. The single progress increment and the dynamic judgment threshold jointly determine the number of actions required to achieve compliance. The larger the increment, the fewer the number of actions required; the lower the threshold, the fewer the number of actions required. Both are context-modulated to achieve differentiated task experiences. The progress accumulation module internally includes a load collector, a network factor mapper, an increment calculator, and an optimistic locking transaction executor. The load collector collects real-time request volume and CPU utilization from cluster monitoring; the network factor mapper queries mapping relationships by network type; the increment calculator calculates the single progress increment according to a dynamic weight formula; and the optimistic locking transaction executor completes atomic accumulation using version number verification.

[0097] The state machine determination module monitors the task progress via a state machine and triggers a voucher issuance event when the task progress reaches a dynamic determination threshold. This module resides within the state management layer and the server-side business layer, and incorporates a built-in end-to-end progress state machine. This state machine includes seven states: task initialization, progress accumulation, threshold determination, voucher distribution, distribution completion, baseline rollback, and task completion. The state machine reads the accumulated original progress and compares it with the dynamic determination threshold. Upon reaching the threshold, a distributed lock serializes key migrations and triggers the voucher issuance event. Internally, the state machine determination module includes a state machine engine, a threshold comparator, a distributed lock client, and an issuance event publisher. The threshold comparator compares the original progress with the dynamic determination threshold, and the issuance event publisher publishes an issuance trigger event to the voucher issuance module upon reaching the threshold.

[0098] The voucher issuance module is used to respond to the voucher issuance event, issue standardized virtual vouchers, and roll back the task progress to the baseline. This module resides in the server-side business layer, constructs standardized virtual vouchers containing voucher codes, user identifiers, and issuance batch numbers, performs idempotent issuance using the issuance batch number as the idempotent key, marks the voucher as pending redemption in the database, and rolls back the task progress to the baseline value through local transactions. Cross-data source updates achieve eventual consistency through an asynchronous message queue. The voucher issuance module internally includes a voucher code generator, an idempotent issuance caller, a retry queue, and a baseline rollback transaction handler. The voucher code generator generates globally unique codes based on the task code and issuance batch number, and the retry queue schedules retries for failed calls using an exponential backoff strategy.

[0099] The routing and distribution module responds to redemption requests, verifies the validity of the standardized virtual voucher, maps the standardized virtual voucher to the target benefit interface according to the routing configuration and performs verification, and updates the status of the standardized virtual voucher. This module resides in the server-side business layer, verifying the consistency of voucher code, verification status, validity period, and holder. It performs multi-level addressing based on channel-specific matching, business type matching, and global default priorities. It maps input parameters according to the input parameter template and calls the target benefit interface to complete verification. After verification, it updates the voucher status to verified and records the verification details.

[0100] The routing and distribution module internally includes a voucher validator, a multi-level addresser, an input parameter mapper, a signature generator, and a reconciliation detail recorder. The voucher validator performs four-factor verification: voucher code, reconciliation status, validity period, and consistency with the holder. The multi-level addresser performs table lookups and rollbacks based on channel precision, business type, and global default priorities. The input parameter mapper assembles target interface parameters according to the input parameter template. The modules are interconnected via event and data interfaces: the progress accumulation module outputs the accumulated original progress and the updated optimistic locking version number to the state machine determination module; the state machine determination module issues a issuance trigger event to the voucher issuance module when the target is met; after completing issuance, the voucher issuance module outputs standardized virtual vouchers to the routing and distribution module and writes the rolled-back progress baseline back to the progress record; after responding to the redemption request and completing the reconciliation, the routing and distribution module outputs the reconciled vouchers and reconciliation details to the order management link.

Claims

1. A method for automated circulation and multiplexing of virtual vouchers based on state machine monitoring, applied to a task progress monitoring and rights distribution system, the method comprising: Concurrent and safe accumulation of task progress; The task progress is monitored by a state machine, and a voucher issuance event is triggered when the task progress reaches a dynamic judgment threshold. In response to the credential issuance event, a standardized virtual credential is issued, and the task progress is rolled back to the progress baseline; In response to the redemption request, the validity of the standardized virtual certificate is verified, the standardized virtual certificate is mapped to the target rights interface according to the routing configuration and cancelled, and the status of the standardized virtual certificate is updated.

2. The method according to claim 1, wherein, The concurrent and secure accumulation of task progress includes: The single progress increment is determined based on the load context, network context, and identity context, and the task progress is accumulated based on the single progress increment.

3. The method according to claim 2, wherein, The concurrent and secure accumulation of task progress also includes: Concurrency control is performed on the task progress accumulation operation using version number verification; If the version number verification fails, the single progress increment will be merged with the currently accumulated task progress and the accumulation will be retried.

4. The method according to claim 1, wherein, The state machine includes seven states, which correspond to the transition stages of task initialization, progress accumulation, achievement determination, voucher distribution, distribution completion, baseline rollback, and task completion, respectively. When the state machine performs the critical transition from achievement determination to voucher distribution, a distributed lock is used to serialize concurrent requests so that only one request for the same task triggers voucher issuance.

5. The method according to claim 4, wherein, The standardized virtual credential includes a credential code, a user identifier, and an issuance batch number; when issuing the standardized virtual credential, idempotent issuance is performed based on the credential code, and the same credential is issued only once.

6. The method according to claim 5, wherein, Rolling back the task progress to the progress baseline includes: After the standardized virtual certificate is successfully issued, the task progress is rolled back to the progress baseline through a local transaction; The credential status and progress status updates across data sources achieve eventual consistency through asynchronous message queues.

7. The method according to claim 1, wherein, The routing configuration includes a routing configuration table, which records the correspondence between the benefit type and the target benefit interface; Mapping the standardized virtual credentials to the target rights interface and revoking them according to the routing configuration includes: The target rights interface is determined by multi-level addressing based on the priorities of precise channel matching, business format matching, and global default. The standardized virtual certificate fields are mapped to the input parameters of the target rights interface according to the input parameter template, and the target rights interface is called to complete the reconciliation.

8. The method according to claim 1, wherein, The method further includes: A business order is generated in response to a redemption request, and the status of the business order is managed through an order state machine, which includes a pending state, a successful processing state, and a failed processing state. If the business order is in a processing failure state, re-execute the reconciliation.

9. A virtual voucher automated circulation and multiplexing system based on state machine monitoring, comprising: The progress accumulation module is used to accumulate task progress concurrently and safely. The state machine determination module is used to monitor the task progress through the state machine and trigger a voucher issuance event when the task progress reaches a dynamic determination threshold. The voucher issuance module is used to respond to the voucher issuance event, issue standardized virtual vouchers, and roll back the task progress to the progress baseline; The routing and distribution module is used to respond to the redemption request, verify the validity of the standardized virtual certificate, map the standardized virtual certificate to the target rights interface according to the routing configuration and cancel it, and update the status of the standardized virtual certificate.

10. A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method of any one of claims 1 to 8.

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