Business orchestration driven assembly type application engineering method and system

Abstract

The invention relates to the field of distributed software engineering, and discloses a business orchestration-driven assembly type application engineering method and system.The method comprises the steps that a global service interface registry for storing component signatures is constructed, a business orchestration model is analyzed into an abstract syntax tree, and calling nodes are identified; and executing a static decision during construction on the basis of an interface contract hash abstract, writing a target service addressing identifier into a syntax tree to implement static address binding, and generating an immutable release product containing a static call topology. And the uncertainty of dynamic calling is eliminated by utilizing structured abstract matching, so that the environment drift risk is effectively avoided, and the delivery quality and the operation stability of the assembled application are improved.

Description

Technical Field

[0001] This invention relates to a business orchestration-driven assembly-type application engineering method and system, belonging to the field of distributed software engineering technology. Background Technology

[0002] In the current enterprise software architecture, microservice architecture has become the mainstream engineering approach for decoupling complex business logic and agile delivery. Its core practices usually rely on runtime service discovery mechanisms provided by service meshes or API gateways to achieve communication and collaboration between components. In this architecture, the definition of business processes is often handled by an independent orchestration engine, while specific service calls, data interactions, and protocol conversions are postponed to runtime. This is accomplished by dynamically resolving address information in the service registry and establishing remote procedure call connections. This design concept based on runtime dynamic binding, while improving the system's topological flexibility and horizontal scalability during the deployment phase, leads to the invisibility of service interface contracts and call dependencies during the code building phase. This causes distributed systems to fall into the fundamental dilemma of contract drift and architectural entropy increase when facing the assembly of large-scale heterogeneous components.

[0003] To address the complexity of microservice orchestration and deployment, existing technologies focus on automated management at the infrastructure level, reducing engineering difficulty by optimizing container lifecycle management. However, they fall short in resolving deep-seated logical consistency issues. For example, Chinese invention patent CN114721764B discloses a business orchestration and deployment method, system, network device, and storage medium. By parsing business configuration files, it generates images and container dependency trees for user services in layers, enabling automated construction and sequential startup of multi-level microservice nodes. This solves the problems of dependency management and environment setup at the physical deployment level of microservices, ensuring that service nodes run according to a predetermined topology. However, the technical perspective is limited to runtime environment setup and lacks in-depth control over the orchestration of internal business logic within services. The solution only ensures container readiness and does not verify the semantic compatibility of inter-service interface signatures during the code building phase. That is, after deployment, inter-service communication relies on runtime dynamic discovery and matching. There may be minor field conflicts between upstream call parameter definitions and downstream interfaces, which the deployment system cannot detect or block in advance. The system needs to expose errors when traffic actually interacts. This approach prioritizes the deployment environment over logical link paths and cannot eliminate runtime call uncertainty at its root.

[0004] Therefore, the technical problem to be solved by this invention is how to establish a mechanism that can transform runtime dynamic call relationships into static deterministic links in the build phase, and achieve full-link interface contract verification, automatic adaptation and pruning of heterogeneous data streams, and anchoring of logical versions during the compilation phase, so as to maintain the flexibility of microservice development while enabling distributed systems to have the type safety and build reliability of monolithic applications. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A business orchestration-driven assembly-type application engineering method, comprising the following steps: Step 101: Construct a global service interface registry. Traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. Step 102: Parse the service call point to be bound, obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. Step 103: Execute static resolution at build time. For each service call point to be bound in the abstract syntax tree, perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry. When a match is successful, obtain the unique addressing identifier and version anchoring information of the target candidate microservice component. Step 104: Implement static address binding by directly writing the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree to generate a static binding call node containing a deterministic routing address. Step 105: Generate an immutable release artifact. Based on the abstract syntax tree containing static binding call nodes, the compiler generates an assembled application executable file containing the complete static call topology.

[0006] Preferably, in step 101, the interface signature of each candidate microservice component is extracted, which specifically includes the following sub-steps: Step 201, read the service unique identifier, interface resource path, and HTTP request method from the interface definition file; Step 202, perform a serialization operation on the input parameter list and output parameter list in the interface definition file to generate input and output structure feature values; Step 203, concatenate the service unique identifier, interface resource path, HTTP request method, and input and output structure feature values ​​according to a preset byte order to generate an interface signature that uniquely represents the interface contract of the candidate microservice component.

[0007] Preferably, in step 103, an exact match lookup operation based on the interface contract hash digest is performed, specifically following the following determination rules: Step 301, generate the current call feature digest based on the call parameters of the service call point to be bound; Step 302, determine whether there is an interface signature in the global service interface registry that is completely consistent with the current call feature digest at the binary level; Step 303, if there is a unique matching interface signature, the resolution is determined to be successful and step 104 is triggered; Step 304, if there is no matching item or there are multiple conflicting matching items, the construction process is terminated and a construction failure log containing details of conflict fields is output.

[0008] Preferably, the version anchoring information is used to lock a specific historical snapshot of the candidate microservice component. Implementing static address binding further includes: step 401, identifying call requests for different business logic branches of the same candidate microservice component in the abstract syntax tree; step 402, assigning independent routing addresses pointing to different historical version instances of the candidate microservice component to call requests belonging to different business logic branches according to the version anchoring information; step 403, fixing the independent routing addresses in the abstract syntax tree, so that when the assembled application executable file is loaded into memory and run, it can access multiple different version instances of the same candidate microservice component in parallel through the independent routing addresses.

[0009] Preferably, the process of generating input-output structural feature values ​​follows weighted hash calculation logic, wherein the input-output structural feature values ​​are defined. The calculation rules satisfy the following relationship: Where N is the total number of parameters in the input parameter list. For the first in the input parameter list The parameter type is defined by a string, and M is the total number of parameters in the output parameter list. For the first in the output parameter list The type of each parameter is defined as a string, and H(•) is the preset hash function. The input weighting coefficients are preset based on the statistical values ​​of the frequency of input parameter changes. The output weighting coefficient is preset based on the statistical value of the output parameter change frequency. ⊕ is the bitwise XOR operator. The calculation rule is used to ensure that the same feature value is generated when the parameter types and arrangement order of the interface are completely consistent.

[0010] Preferably, the method further includes the step of embedding resource preheating logic in the construction phase: Step 601, analyze the control flow path in the abstract syntax tree and identify the downstream service node on the critical business path; Step 602, calculate the logic execution delay of the downstream service node relative to the upstream triggering node; Step 603, embed an asynchronous preheating instruction in the execution logic code of the upstream triggering node, the asynchronous preheating instruction being configured to trigger resource initialization operations for the downstream service node before the logic execution delay arrives.

[0011] Preferably, the business orchestration model file adopts the Business Process Modeling Notation (BPMN) specification definition. Step 102 converts the business orchestration model file into an abstract syntax tree, specifically including: Step 701, mapping the task nodes in the BPMN model to function call expressions in the abstract syntax tree; Step 702, mapping the gateway nodes in the BPMN model to conditional branch control statements in the abstract syntax tree; Step 703, mapping the swimlane boundary information in the BPMN model to service namespace constraints in the abstract syntax tree.

[0012] Preferably, in step 105, generating an immutable release artifact further includes the step of embedding a runtime integrity verification module: during the compilation process, the interface signatures in the global service interface registry are embedded as a base signature table into the data segment of the assembled application executable file; verification logic code is injected into the entry function of the assembled application executable file, and the verification logic code is configured to obtain the real-time runtime signatures of all target services in the current runtime environment during the application startup phase, and compare the real-time runtime signatures with the base signature table; the verification logic code is also configured to allow the assembled application executable file to load business traffic only when the consistency verification between the real-time runtime signatures corresponding to all static address bindings and the base signature table passes. The global service interface registry is built based on an immutable base version, and the method also includes a full dependency locking step: when the global service interface registry is built, a snapshot digest of the interface definitions of all candidate microservice components at that moment is generated; the snapshot digest is embedded in the metadata header of the assembled application executable file; in the subsequent incremental build process, dependency consistency checks are performed to verify whether the interface definitions of the current environment match the snapshot digest, and if they do not match, the build is blocked.

[0013] Preferably, the asynchronous preheating instruction includes logic for dynamically adjusting the triggering timing, specifically including: during the execution of the assembled application executable file, collecting the actual cold start time of the downstream service node through the built-in monitoring probe; comparing the actual cold start time with the preset time window threshold; and correcting the advance parameter of the asynchronous preheating instruction embedded in the upstream triggering node based on the comparison result, so as to minimize the time difference between the resource readiness time and the traffic arrival time.

[0014] A business orchestration-driven modular application engineering system, comprising: The registry building module is used to traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. The parsing and identification module is used to obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. The static resolution module is used to perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry for each service call point to be bound in the abstract syntax tree, and obtain the unique addressing identifier and version anchoring information of the target candidate microservice component when the match is successful. The address binding module is used to directly write the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree, generating a static binding call node containing a deterministic routing address; The artifact generation module is used by the compiler to generate assembled application executables containing complete static call topologies based on an abstract syntax tree containing static binding call nodes.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. In modular application engineering, based on the static linking and topology determinism of the global abstract syntax tree, this invention implements a static symbol resolution and type verification mechanism for microservice call relationships by parsing the business orchestration description and generating the global abstract syntax tree during the construction phase. This transforms the service calls that rely on runtime dynamic discovery in traditional microservice architecture into static address positioning and interface contract locking during construction. When an interface signature mismatch or service unreachability is detected, the construction process is directly blocked. This method of forwarding runtime uncertainty into a linking error handling method during construction eliminates the risk of logical collapse due to runtime method not found or parameter type mismatch caused by service version drift or interface changes. It ensures that the distributed system deployed to the production environment has mathematical completeness in terms of topology connectivity and semantic compatibility.

[0016] 2. Agentless bytecode materialization of heterogeneous service adaptation logic: Based on static type deduction of data flow, this invention automatically synthesizes adaptation logic that handles differences in heterogeneous data structures and compiles it into WebAssembly bytecode, which is directly injected into the data plane proxy of the service mesh. This transforms the glue code that originally needed to be manually written by developers and executed at the application layer into binary instructions that are directly executed at the network proxy layer, realizing the physical separation of data conversion logic from core business logic. By completing protocol conversion and field mapping at near-native speed within the Sidecar proxy, the system avoids the overhead of repeated context switching and serialization of data packets between the application process and the network proxy. Thus, it achieves zero-loss assembly and interconnection of heterogeneous microservice components without intruding on business code.

[0017] 3. Source-end transmission pruning based on reverse data slicing: This invention utilizes the compiler's reverse data dependency analysis of the abstract syntax tree to identify the minimum effective field set of downstream nodes for upstream data, and generates corresponding output pruning masks configured in the upstream service's egress proxy. This establishes an on-demand supply link where data production and transmission are driven by data consumption needs. It forces the upstream service proxy to strip all redundant fields not referenced by downstream before data is sent out, so that the network throughput and serialization computation overhead of inter-microservice communication no longer depend on the size of the general data model defined by the upstream service, but converge to the effective number of bits actually required by the downstream business logic. This physically eliminates the waste of I / O bandwidth and ineffective computing power caused by redundant data transmission in the distributed call chain. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating the main steps of a business orchestration-driven assembly-type application engineering method according to the present invention. Figure 2 This is a diagram showing the logical architecture and functional composition of the assembled application engineering system of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0020] A business orchestration-driven assembly-based application engineering approach includes the following steps: Step 101: Construct a global service interface registry. Traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. Step 102: Parse the service call point to be bound, obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. Step 103: Execute static resolution at build time. For each service call point to be bound in the abstract syntax tree, perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry. When a match is successful, obtain the unique addressing identifier and version anchoring information of the target candidate microservice component. Step 104: Implement static address binding by directly writing the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree to generate a static binding call node containing a deterministic routing address. Step 105: Generate an immutable release artifact. Based on the abstract syntax tree containing static binding call nodes, the compiler generates an assembled application executable file containing the complete static call topology.

[0021] Preferably, in step 101, the interface signature of each candidate microservice component is extracted, which specifically includes the following sub-steps: Step 201, read the service unique identifier, interface resource path, and HTTP request method from the interface definition file; Step 202, perform a serialization operation on the input parameter list and output parameter list in the interface definition file to generate input and output structure feature values; Step 203, concatenate the service unique identifier, interface resource path, HTTP request method, and input and output structure feature values ​​according to a preset byte order to generate an interface signature that uniquely represents the interface contract of the candidate microservice component.

[0022] Preferably, in step 103, an exact match lookup operation based on the interface contract hash digest is performed, specifically following the following determination rules: Step 301, generate the current call feature digest based on the call parameters of the service call point to be bound; Step 302, determine whether there is an interface signature in the global service interface registry that is completely consistent with the current call feature digest at the binary level; Step 303, if there is a unique matching interface signature, the resolution is determined to be successful and step 104 is triggered; Step 304, if there is no matching item or there are multiple conflicting matching items, the construction process is terminated and a construction failure log containing details of conflict fields is output.

[0023] Preferably, the version anchoring information is used to lock a specific historical snapshot of the candidate microservice component. Implementing static address binding further includes: step 401, identifying call requests for different business logic branches of the same candidate microservice component in the abstract syntax tree; step 402, assigning independent routing addresses pointing to different historical version instances of the candidate microservice component to call requests belonging to different business logic branches according to the version anchoring information; step 403, fixing the independent routing addresses in the abstract syntax tree, so that when the assembled application executable file is loaded into memory and run, it can access multiple different version instances of the same candidate microservice component in parallel through the independent routing addresses.

[0024] Preferably, the process of generating input-output structural feature values ​​follows weighted hash calculation logic, wherein the input-output structural feature values ​​are defined. The calculation rules satisfy the following relationship: Where N is the total number of parameters in the input parameter list. For the first in the input parameter list The parameter type is defined by a string, and M is the total number of parameters in the output parameter list. For the first in the output parameter list The type of each parameter is defined as a string, and H(•) is the preset hash function. The input weighting coefficients are preset based on the statistical values ​​of the frequency of input parameter changes. The output weighting coefficient is preset based on the statistical value of the output parameter change frequency. ⊕ is the bitwise XOR operator. The calculation rule is used to ensure that the same feature value is generated when the parameter types and arrangement order of the interface are completely consistent.

[0025] Preferably, the method further includes the step of embedding resource preheating logic in the construction phase: Step 601, analyze the control flow path in the abstract syntax tree and identify the downstream service node on the critical business path; Step 602, calculate the logic execution delay of the downstream service node relative to the upstream triggering node; Step 603, embed an asynchronous preheating instruction in the execution logic code of the upstream triggering node, the asynchronous preheating instruction being configured to trigger resource initialization operations for the downstream service node before the logic execution delay arrives.

[0026] Preferably, the business orchestration model file adopts the Business Process Modeling Notation (BPMN) specification definition. Step 102 converts the business orchestration model file into an abstract syntax tree, specifically including: Step 701, mapping the task nodes in the BPMN model to function call expressions in the abstract syntax tree; Step 702, mapping the gateway nodes in the BPMN model to conditional branch control statements in the abstract syntax tree; Step 703, mapping the swimlane boundary information in the BPMN model to service namespace constraints in the abstract syntax tree.

[0027] Preferably, in step 105, generating an immutable release artifact further includes the step of embedding a runtime integrity verification module: during the compilation process, the interface signatures in the global service interface registry are embedded as a base signature table into the data segment of the assembled application executable file; verification logic code is injected into the entry function of the assembled application executable file, and the verification logic code is configured to obtain the real-time runtime signatures of all target services in the current runtime environment during the application startup phase, and compare the real-time runtime signatures with the base signature table; the verification logic code is also configured to allow the assembled application executable file to load business traffic only when the consistency verification between the real-time runtime signatures corresponding to all static address bindings and the base signature table passes. The global service interface registry is built based on an immutable base version, and the method also includes a full dependency locking step: when the global service interface registry is built, a snapshot digest of the interface definitions of all candidate microservice components at that moment is generated; the snapshot digest is embedded in the metadata header of the assembled application executable file; in the subsequent incremental build process, dependency consistency checks are performed to verify whether the interface definitions of the current environment match the snapshot digest, and if they do not match, the build is blocked.

[0028] Preferably, the asynchronous preheating instruction includes logic for dynamically adjusting the triggering timing, specifically including: during the execution of the assembled application executable file, collecting the actual cold start time of the downstream service node through the built-in monitoring probe; comparing the actual cold start time with the preset time window threshold; and correcting the advance parameter of the asynchronous preheating instruction embedded in the upstream triggering node based on the comparison result, so as to minimize the time difference between the resource readiness time and the traffic arrival time.

[0029] A business orchestration-driven modular application engineering system, comprising: The registry building module is used to traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. The parsing and identification module is used to obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. The static resolution module is used to perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry for each service call point to be bound in the abstract syntax tree, and obtain the unique addressing identifier and version anchoring information of the target candidate microservice component when the match is successful. The address binding module is used to directly write the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree, generating a static binding call node containing a deterministic routing address; The artifact generation module is used by the compiler to generate assembled application executables containing complete static call topologies based on an abstract syntax tree containing static binding call nodes.

[0030] Example 1: For a high-frequency financial transaction settlement system containing multiple heterogeneous components, its business logic involves dynamic path switching between a fast settlement channel for high-credit-rating merchants and routine risk control verification. It also has strict millisecond-level requirements for end-to-end response latency and data consistency. In such demanding deterministic conditions, traditional runtime service discovery mechanisms often cause transaction delays due to network jitter or service address resolution latency. Furthermore, minor changes to interface fields can easily trigger cascading failures during peak traffic periods. The engineering method of this invention is implemented in this environment, establishing a deterministic mapping system from business semantics to infrastructure configuration. The registry construction module traverses the interface definition files of all candidate microservice components in the target component library, reads the service unique identifier, interface resource path, and HTTP request method of each candidate microservice component, and performs serialization operations on the input parameter list and output parameter list in the interface definition file. To ensure that the generated hash value objectively reflects the stability differences of the parameters, the system connects to... The version control system of the component library captures all commit logs from the past 180 days. For each parameter in the input parameter list, it counts the number of commits in which its row has been modified. The input weight coefficient is set to an integer 100 divided by the sum of the number of commits and the integer 1. The higher the modification frequency, the lower the weight, thereby reducing the sensitivity of frequently changed fields to the overall signature. Similarly, the output weight coefficient is generated based on the same statistical window and calculation logic. The system concatenates the above metadata and input / output structure feature values ​​in a preset byte order according to the preset weighted hash calculation rules to calculate and generate an interface signature that uniquely represents the interface contract of the candidate microservice component. This interface signature, along with its corresponding network address (such as the ClusterIP or HeadlessService domain name within a Kubernetes cluster) and version metadata, is stored in a key-value mapping structure to form a global service interface registry. This registry serves as a static benchmark for the service contracts of the entire system, eliminating runtime version ambiguity.

[0031] The parsing and identification module obtains the business orchestration model file (following the BPMN specification) describing the settlement process. Using a syntax parser, it converts this model file into an abstract syntax tree (AST) containing global control flow information. The system traverses this AST, identifying all function call nodes representing external service calls, such as calls to risk control or fund transfer services, and marks these nodes as service call points to be bound. At this point, the system enters the static decision-making phase. For each service call point to be bound in the AST, a current call feature summary is generated based on its call parameters, and a precise matching search based on the interface contract hash digest is performed in the global service interface registry. During the static decision-making process, if a difference in field naming is found between the output parameters of the upstream call node of the fast settlement channel and the input interface definition of the downstream fund transfer service (e.g., the upstream output merchant ID field is named...), the system will proceed accordingly. The downstream requires the field name to be... During this process, the system does not interrupt the construction. Instead, based on the comparison results of the input and output structural feature values, it launches a difference analysis engine based on the abstract syntax tree. This engine traverses the upstream output node and the downstream input node, calculates the Levenstein edit distance between the field name strings, and determines that the two fields are the same semantic field when the edit distance similarity exceeds 85% and the data types are compatible. For cases where the data types are inconsistent, the engine queries the pre-set type conversion opcode mapping table. When it is found that the upstream is a 32-bit integer and the downstream is a string type, it directly inserts memory allocation instructions and integer-to-string formatting instructions. When it is found that the upstream is a nested object and the downstream is a flat key-value pair, it inserts a structure member reading instruction. Based on the above analysis, the system automatically synthesizes data adapter code containing field extraction and assignment instructions, and compiles the code into WebAssembly bytecode. At the same time, the system obtains the unique addressing identifier and version anchoring information of the successfully matched candidate microservice components, and writes this information directly into the corresponding function call node of the abstract syntax tree to generate a static binding call node containing a deterministic routing address.

[0032] The artifact generation module, based on an abstract syntax tree containing statically bound call nodes, generates an assembled application executable file containing a complete static call topology through a compiler. The aforementioned generated WebAssembly bytecode and static routing configuration are injected into the service proxy component (Sidecar) of the target runtime environment. At runtime, when a transaction request triggers a fast settlement channel branch, the service proxy component directly reads the locked routing table and adaptation logic in local memory. It does not need to initiate any network-level service discovery queries or wait for dynamic configuration pushes from the control plane. It directly completes the mapping of heterogeneous fields at the speed of binary instructions in the data plane and accurately forwards them to the target service instance. This static linking resolution mechanism based on a global symbol table fully advances the uncertain computation tasks that were originally scattered at runtime in the microservice architecture to the deterministic compilation and building stage. While retaining the flexibility of independent evolution of microservices, it achieves the same level of runtime efficiency and type safety as hard-coded monolithic applications.

[0033] Example 2: In a simulation scenario targeting the core link of high-concurrency e-commerce transactions, to objectively verify the performance and architectural stability of the business orchestration-driven assembly-style application engineering method proposed in this invention under extreme conditions, a Kubernetes cluster test environment containing 500 microservice nodes was constructed. This test environment aims to simulate the real industrial scenario of instantaneous traffic surges and frequent service instance rescheduling during the Double Eleven promotion. The sources of experimental data were explicitly limited to: stress test logs output by the load generator, real-time traffic monitoring indicators collected by the service mesh data plane proxy (Sidecar), and distributed... The link tracing system records detailed call chain information. All time-related measurements are acquired using kernel probes with nanosecond-level precision. Throughput metrics are calculated based on network interface card (NIC) interrupt counts per second. In setting experimental parameters, the selection of the core variable, request concurrency (QPS), follows a decision logic based on system saturation. Since dynamic service discovery mechanisms typically experience a performance inflection point when DNS resolution and routing calculations reach the CPU time slice allocation limit, the test sets the baseline concurrency at 80% of the system's theoretical capacity, i.e., 100,000 transaction requests per second, and superimposes pulsed traffic spikes conforming to a Poisson distribution, with peak values ​​reaching 150,000. 00 QPS. Meanwhile, to implement a noise and disturbance injection protocol with realistic engineering implications, random packet loss interference with a signal-to-noise ratio of 20dB was actively injected into the network layer during the experiment using chaos engineering tools. Additionally, 5% of service instances were randomly and forcibly restarted every minute to simulate network jitter and infrastructure instability in a real data center. Two parallel control groups were established for rigorous differential comparison. The control group adopted a standard microservice architecture based on runtime dynamic service discovery (such as conventional DNS round-robin and HTTP REST dynamic resolution); the experimental group of this invention adopted the static decision-making mechanism built in the aforementioned embodiments based on a global service interface registry. In the first phase of benchmark testing, the address-bound modular architecture showed a non-linear, exponential deterioration in P99 response latency data for the control group as the concurrency increased linearly from 20,000 QPS to 100,000 QPS. In particular, after the concurrency exceeded the inflection point of 80,000 QPS, a large amount of CPU resources were consumed in the dynamic resolution of changing IP addresses and load balancing calculations, causing its P99 latency to surge from the initial 15.2ms to 420.5ms. Furthermore, during the service instance restart window, 3.8% of ServiceUnavailable call failures occurred.

[0034] In contrast, the performance of the sample group of this invention under the same working conditions demonstrates the deterministic advantage of the static linking mechanism. Since the call relationships between services are resolved and locked into a static routing table during the construction phase, and the adaptation logic for heterogeneous data has been compiled into WebAssembly bytecode and injected into the proxy side, the forwarding behavior of the data plane no longer depends on the real-time status push of the control plane. Actual test data shows that even under a peak traffic surge of 150,000 QPS, the P99 latency of the sample group of this invention remained stable within the range of 18.5ms to 22.1ms, without any performance degradation inflection point. Especially during the moment of forced restart of service instances, thanks to the static binding version anchoring mechanism and the immediate retry strategy within the Sidecar, the call failure rate was controlled below 0.005%. This objectively confirms that moving the uncertain runtime resolution task to the deterministic construction phase can effectively eliminate the risk of cascading failures caused by infrastructure fluctuations. Further testing of the core function of heterogeneous service adaptation artificially introduced a typical interface change scenario: the interface parameters of the downstream inventory service were changed from... Change to In the control group, this incompatible change resulted in 100% call blocking, requiring developers to manually modify the code and redeploy. However, in the sample group of this invention, after detecting a mismatch in the interface contract hash digest, the build system automatically synthesized adapter code containing field mapping logic and updated the Sidecar configuration. Traffic monitoring showed that the average dwell time of the adapted data packets within the Sidecar increased by only 0.12ms, and the success rate of transaction services recovered to 99.99% after the change took effect. This key intermediate characteristic directly proves that the static resolution and automatic adaptation mechanism based on the interface contract hash digest can... Without intruding on business code, this invention addresses the semantic gaps in service evolution with extremely low runtime overhead. Based on the above experimental process and data analysis, this experiment objectively confirms that by constructing a global service interface registry and executing static resolution during construction, this invention introduces compile-time type safety and runtime determinism similar to monolithic applications into microservice architectures. Data shows that, in the face of real-world challenges such as high concurrency and unstable infrastructure, this solution can reduce the average latency of service calls by more than 90% and shorten the fault recovery time caused by interface changes from hours to milliseconds, thus achieving a quantitatively verified balance between the flexibility of microservice architecture and the stability of industrial-grade systems.

[0035] Example 3: In complex financial business orchestration scenarios involving multi-level nested data structures and high-frequency interface evolution, to eliminate the semantic ambiguity risk caused by vague interface definition descriptions, this example constructs an interface signature generation procedure based on a deterministic hash algorithm and an adaptation code synthesis logic based on abstract syntax tree difference comparison. When the system processes a composite interface definition containing user information, credit rating, and asset list, the registry construction module does not directly store the original JSON or Protobuf file. Instead, it starts a standardized serialization engine to perform normalization processing on the interface metadata. This processing follows the lexicographical order principle, rearranging all input parameter names of the interface in ascending order of ASCII code, and recursively performing the same sorting operation on nested substructures, thereby generating a unique typical string sequence independent of the parameter definition order. Based on this, the system calculates the globally unique digital fingerprint of the interface according to a preset weighted signature algorithm, and the interface signature is generated. The calculation logic follows the following formula: Where Φ is the SHA-256 hash function, For standardized HTTP request method strings, This is a relative resource path with the domain name prefix removed. ∥ represents a string concatenation operation, and N is the total number of input parameters. Let i be the key name of the i-th parameter. Let Ψ be the data type identifier for the i-th parameter, Ψ be the basic hash mapping function, and α and β be the preset key name weight coefficient and type weight coefficient, respectively. In this embodiment, α is set to 1.0 and β is set to 2.0 to enhance the distinguishability of data types in the signature. Through this calculation procedure, any modification that only changes the order of parameters without changing the semantic structure will generate the same hash value, while any minor change in parameter name or type will result in... An avalanche effect occurs, thereby ensuring the mathematical uniqueness and tamper-proof nature of the service contract.

[0036] For service call points to be bound that are identified during the static resolution phase of system construction as having inconsistencies between the upstream output data structure and the downstream input data structure, the system initiates a difference analysis and code synthesis engine based on AST (Abstract Syntax Tree). This engine no longer relies on manually written mapping rules but instead traverses the AST node sets of both the upstream and downstream data structures. For each target field, the engine performs a three-dimensional matching process: retrieving nodes with the same path depth, comparing data type compatibility (e.g., auto-promotion compatibility between Int32 and Int64), and finally performing semantic alignment based on a pre-built domain thesaurus (e.g., user_id and uid). When a difference point requiring conversion is identified, the engine directly generates a corresponding code. The engine uses the corresponding WebAssembly binary instruction set. When it detects that the upstream output is an integer variable while the downstream requirement is a string type, the engine automatically inserts the i32.to_string conversion instruction. When it detects a need for flattening the field hierarchy, the engine generates a set of consecutive struct.get memory read instructions to extract deeply nested values. The resulting adapter bytecode is statically linked to the service proxy component. In actual stress testing, the average time for this mechanism to handle a single complex structure conversion is stable within 5 microseconds. Furthermore, through the signature and adaptation logic generated by the above deterministic procedure, 100% of incompatible interface changes were successfully intercepted, ensuring the semantic consistency and operational stability of the distributed system during its continuous evolution.

[0037] Example 4: To address the risks of inconsistent interface signature calculations and adaptation logic failures caused by environment configuration drift when a distributed system is deployed across heterogeneous infrastructures and domains, this example introduces a standardized initialization procedure based on baseline environment snapshots. Before the system is deployed to a new physical data center or cloud region for the first time, an environment detection agent is started to perform a baseline scan. This agent automatically reads the CPU architecture instruction set version, operating system kernel parameters, maximum transmission unit (MTU) settings of the network protocol stack, and time zone and character encoding configuration of the current running environment. The system generates a standardized environment feature fingerprint based on this metadata and compares it with the preset golden baseline configuration. If key parameters (such as the default character set not being UTF-8) are found to deviate from the baseline, the system does not directly report an error, but automatically generates a set of correction scripts and injects them into the service mesh initialization container to align the runtime environment of all microservice instances to a unified baseline state.

[0038] After completing the environment baseline alignment, the system performs a pre-warm-up verification process for full interface signatures. At this point, the system does not directly distribute the full static routing table. Instead, it selects a set of typical interface definition samples covering all data types and nesting depths, and performs real-time signature calculation and adaptation code generation tests in the current deployment environment. The system compares the real-time calculated interface signature hash value with the baseline hash value stored in the global service interface registry bit by bit, and simulates a complete WebAssembly adaptation instruction call. Only when the signature consistency verification of all sample interfaces passes and the execution time deviation of the adaptation logic is within the preset threshold range, does the system officially unlock the full release process and distribute the complete static resolution results to the service proxy component in that region. This ensures that when the system starts on any unknown infrastructure, its core static linking logic is built on a verified deterministic environment.

[0039] Example 5: In the continuous integration and delivery (CI / CD) pipeline of a heterogeneous microservice system, to address the non-deterministic differences in basic environment parameters required for static decision-making during build, such as network protocol stack configuration, operating system kernel version, and hardware instruction set support, between different batches of physical nodes, this example introduces a standardized pre-calibration procedure based on a baseline environment snapshot. This procedure is designed as an independent initialization container and is forcibly executed before any microservice instance starts. The calibration program reads kernel interfaces such as / proc / cpuinfo and / sys / class / net from the currently running node and extracts key environment feature vectors. This vector includes, but is not limited to, CPU instruction set extensions (such as AVX2, AES-NI), the maximum transmission unit (MTU) value of the network interface, and the TCP congestion control algorithm type.

[0040] The calibration procedure will extract With the gold baseline configuration pre-installed in the global service interface registry A step-by-step comparison is performed. If a key parameter deviation is found (e.g., the current MTU value is 1450 while the baseline requirement is 1500), the calibration program does not directly block startup. Instead, it triggers adaptive parameter generation logic. This logic calculates a set of runtime correction parameters for the current environment based on a preset mapping rule table. For example, in cases of MTU mismatch, it automatically generates configuration instructions to adjust the TCP Maximum Segment Size (MSS). Finally, the calibration program will... The parameters are injected into the startup configuration file of the service proxy component (Sidecar) and a local loopback test is performed to verify that the parameters are effective. Only after the test passes is a signal released to allow the main business container to start, ensuring that no matter how heterogeneous the underlying infrastructure is, the upper-layer business logic of the assembled application always runs on a deterministic environment that has been mathematically normalized.

[0041] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0042] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A business orchestration-driven assembly-type application engineering method, characterized in that, Includes the following steps: Step 101: Construct a global service interface registry. Traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. Step 102: Parse the service call point to be bound, obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. Step 103: Execute static resolution at build time. For each service call point to be bound in the abstract syntax tree, perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry. When a match is successful, obtain the unique addressing identifier and version anchoring information of the target candidate microservice component. Step 104: Implement static address binding by directly writing the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree to generate a static binding call node containing a deterministic routing address. Step 105: Generate an immutable release artifact. Based on the abstract syntax tree containing static binding call nodes, the compiler generates an assembled application executable file containing the complete static call topology.

2. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, In step 101, the interface signature of each candidate microservice component is extracted, which specifically includes the following sub-steps: Step 201, read the service unique identifier, interface resource path and HTTP request method from the interface definition file; Step 202, perform serialization operation on the input parameter list and output parameter list in the interface definition file to generate input and output structure feature values; Step 203: Concatenate the service unique identifier, interface resource path, HTTP request method, and input / output structure feature values ​​according to a preset byte order to generate an interface signature that uniquely represents the interface contract of the candidate microservice component.

3. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, In step 103, an exact match lookup operation based on the interface contract hash digest is performed, specifically following the following determination rules: Step 301, generate the current call feature digest based on the call parameters of the service call point to be bound; Step 302, determine whether there is an interface signature in the global service interface registry that is completely consistent with the current call feature digest at the binary level; Step 303, if there is a unique matching interface signature, the resolution is determined to be successful and step 104 is triggered; Step 304, if there is no matching item or there are multiple conflicting matching items, the build process is terminated and a build failure log containing details of conflict fields is output.

4. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, Version anchoring information is used to lock specific historical snapshots of candidate microservice components. Implementing static address binding also includes: step 401, identifying call requests for different business logic branches of the same candidate microservice component in the abstract syntax tree; step 402, assigning independent routing addresses pointing to different historical version instances of the candidate microservice component to call requests belonging to different business logic branches according to the version anchoring information; step 403, fixing the independent routing addresses in the abstract syntax tree, so that when the assembled application executable file is loaded into memory and run, it can access multiple different version instances of the same candidate microservice component in parallel through independent routing addresses.

5. The business orchestration-driven assembly-type application engineering method according to claim 2, characterized in that, The generation process of input-output structure feature values ​​follows weighted hash calculation logic, where the input-output structure feature values ​​are defined. The calculation rules satisfy the following relationship: Where N is the total number of parameters in the input parameter list. Define the type of the i-th parameter in the input parameter list as a string, and M is the total number of parameters in the output parameter list. Define the type of the j-th parameter in the output parameter list as a string, and H(•) is the preset hash function. The input weighting coefficients are preset based on the statistical values ​​of the frequency of input parameter changes. The output weighting coefficient is preset based on the statistical value of the output parameter change frequency. ⊕ is the bitwise XOR operator. The calculation rule is used to ensure that the same feature value is generated when the parameter types and arrangement order of the interface are completely consistent.

6. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, The method also includes the step of embedding resource preheating logic in the construction phase: Step 601, analyze the control flow path in the abstract syntax tree and identify the downstream service nodes on the critical business path; Step 602, calculate the logic execution delay of the downstream service node relative to the upstream triggering node; Step 603, embed an asynchronous preheating instruction in the execution logic code of the upstream triggering node, the asynchronous preheating instruction is configured to trigger the resource initialization operation for the downstream service node before the logic execution delay arrives.

7. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, The business orchestration model file is defined using the Business Process Modeling Notation (BPMN) specification. Step 102 converts the business orchestration model file into an abstract syntax tree, specifically including: Step 701, mapping task nodes in the BPMN model to function call expressions in the abstract syntax tree; Step 702, mapping gateway nodes in the BPMN model to conditional branch control statements in the abstract syntax tree; Step 703, mapping swimlane boundary information in the BPMN model to service namespace constraints in the abstract syntax tree.

8. The business orchestration-driven assembly-type application engineering method according to claim 1, characterized in that, In step 105, generating an immutable release artifact also includes the step of embedding a runtime integrity verification module: during the compilation process, the interface signature in the global service interface registry is used as a base signature table and embedded into the data segment of the assembled application executable file; Verification logic code is injected into the entry function of the assembled application executable. The verification logic code is configured to obtain the real-time runtime signatures of all target services in the current runtime environment during the application startup phase and compare the real-time runtime signatures with the baseline signature table. The verification logic code is also configured to allow the assembled application executable to load business traffic only when the consistency verification between the real-time runtime signatures corresponding to all static address bindings and the baseline signature table passes. The global service interface registry is built based on an immutable baseline version. The method also includes a full dependency locking step: when the global service interface registry is built, a snapshot summary of the interface definitions of all candidate microservice components at that moment is generated. The snapshot digest is embedded in the metadata header of the assembled application executable file; during subsequent incremental builds, dependency consistency checks are performed to verify whether the interface definition of the current environment matches the snapshot digest, and if they do not match, the build is blocked.

9. The business orchestration-driven assembly-type application engineering method according to claim 6, characterized in that, The asynchronous preheating instruction includes logic for dynamically adjusting the trigger timing, specifically including: during the execution of the assembled application executable file, collecting the actual cold start time of downstream service nodes through the built-in monitoring probe; comparing the actual cold start time with the preset time window threshold; and correcting the advance parameter of the asynchronous preheating instruction embedded in the upstream trigger node based on the comparison result, so as to minimize the time difference between the resource readiness time and the traffic arrival time.

10. A business orchestration-driven assembly-type application engineering system, used to implement the business orchestration-driven assembly-type application engineering method of claim 1, characterized in that, include: The registry building module is used to traverse the interface definition files of all candidate microservice components in the target component library, extract the interface signature of each candidate microservice component, and store the interface signature, its corresponding network address, and version metadata into a key-value mapping structure to form a global service interface registry. The parsing and identification module is used to obtain the business orchestration model file to be processed, use the syntax parser to convert the business orchestration model file into an abstract syntax tree containing global control flow information, traverse the abstract syntax tree to identify all function call nodes that represent external service calls, and mark the function call nodes as service call points to be bound. The static resolution module is used to perform an exact match lookup operation based on the interface contract hash digest in the global service interface registry for each service call point to be bound in the abstract syntax tree, and to obtain the unique addressing identifier and version anchoring information of the target candidate microservice component during the match. The address binding module is used to directly write the obtained unique addressing identifier and version anchoring information into the corresponding function call node of the abstract syntax tree, generating a static binding call node containing a deterministic routing address; The artifact generation module is used by the compiler to generate assembled application executables containing complete static call topologies based on an abstract syntax tree containing static binding call nodes.

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