26 results about "Webhook" patented technology

Techniques for webhook registration are disclosed, including: receiving, by an integration platform, a metadata document associated with a producer, wherein the metadata document describes (a) a set of conditions for identifying webhook validation requests and (b) a set of one or more operations for validating webhook validation requests; instantiating, by the integration platform, an adapter based on the metadata document; determining, by the integration platform using the adapter, that a request from a producer satisfies the set of conditions for identifying webhook validation requests; responsive to determining that the validation request satisfies the set of conditions for identifying webhook validation requests: executing the set of one or more operations for validating webhook validation requests, to validate a registration of a consumer with the producer.

The invention discloses an automatic system for customizing and distributing and deploying system software of an embedded system. The automatic system comprises a configuration management module, a configuration management module and a configuration management module, wherein the configuration management module is used for storing a declarative configuration file in a Git version control system; the automatic execution module is realized by a CI / CD server, the CI / CD server is closely integrated with a Git warehouse of the configuration management module through a Webhook mechanism, and a CI / CD assembly line can be automatically triggered once the change of a configuration file is detected to be pushed to a specified branch; the product management module is used for archiving, storing and distributing the constructed product after the automatic execution module successfully completes the construction; and the end-side deployment module is used for deploying the system software on development equipment according to requirements for rapid deployment, verification and rollback use.

Disclosed is a system for AI-based auction bidding and a method thereof. The method includes receiving a sign-up request for an auction. The method includes initiating, by an AI bidding bot, a phone call to a mobile device of the client before the initiating the auction process. The method also includes presenting a disclaimer to the client specifying bid finality, bidding currency, urgency of bidding, and liability limitations. The method further includes presenting bid amounts to the client and requesting confirmation of the bid amounts. The method also includes receiving the bid confirmation from a client as a voice prompts. The method includes sending the voice prompt to an NLP engine and converting voice prompt to text data. The method further includes updating, by the AI bidding bot, the database with the confirmed bid. The method also includes automatically transmitting the confirmed bid to a central site via Webhook.

The invention discloses an AI-based code quality intelligent review and automatic distribution system and method, and relates to the technical field of software development and quality assurance, the AI-based code quality intelligent review and automatic distribution system comprises an event triggering and capturing unit, a code change extraction and analysis unit, an intelligent review engine starting unit, an AI analysis and decision unit and a feedback and closed loop unit; the event triggering and capturing unit is used for monitoring a code pushing event for submitting a code to a remote GitLab code library after a developer completes function development locally through a GitLab platform, generating an HTTP request and sending the HTTP request to the code change extraction and analysis unit; through the Webhook mechanism provided by the Gitlab, 'triggering upon code submission 'is realized, manual intervention is not needed, the feedback period is greatly shortened, and the development efficiency is improved.

Techniques for a container orchestration system are disclosed. A container orchestration API server receives a request from a virtual agent in a container orchestration cluster that includes a cloud provider authentication token. The request is generated by the virtual agent using a resource principal that corresponds to the virtual agent. The container orchestration API server attempts authentication of the virtual agent using a container orchestration native authentication. Upon failure of the container orchestration native authentication, the container orchestration API server authenticates the virtual agent using a cloud provider authentication unit via an authentication webhook using the cloud provider authentication token.

The present disclosure provides a Webhook-based data sending method and device, electronic equipment and medium, wherein the method comprises detecting a data sending task of an upstream system to a downstream system; after detecting the data sending task, obtaining data configuration information matched with the downstream system; wherein the data configuration information is used to indicate a data structure matched with a system interface of the downstream system and data content corresponding to the data structure; generating target data for the downstream system based on the data configuration information; and sending the target data to the downstream system by using Webhook in a data sending mode matched with the downstream system.

The invention discloses an assembly line construction method and system for version automatic marking, and the method comprises the steps: completing information collection and writing by an automatic deployment tool according to a self-defined metadata structure, monitoring code submission through Webhook, and transmitting a trigger signal; the continuous integration server pulls the latest submitted code from the code warehouse and executes construction operation; after the construction is passed, constructing an application mirror image, and pushing the application mirror image to a specified mirror image warehouse; and the automatic deployment tool pulls the application mirror image of the corresponding version from the mirror image warehouse, and starts the application in the target environment to complete the automatic deployment of the project. According to the method, the correlation tracing efficiency of the code version information and the construction product is improved, the manual recording and maintenance cost is reduced, and the reliability and maintainability of automatic deployment are improved.

The invention relates to the technical field of container management, in particular to a method and system for automatically triggering K8s Pod updating. The method for automatically triggering K8s Pod update comprises the following steps: receiving a Webhook event from a mirror image warehouse, performing security verification, extracting a mirror image content abstract from the Webhook event passing the verification, and comparing the mirror image content abstract with a historical mirror image content abstract stored in a persistent database in real time; when it is found that the mirror image content abstract changes, a Kubernetes API is called to modify a Pod template annotation of the target Deployment, so that an annotation representing a new mirror image content abstract is injected; and a rolling updating process is automatically triggered to gradually replace the old Pod instance, so that zero-shutdown deployment is realized. According to the method and system for automatically triggering the updating of the K8s Pod, a content awareness updating mechanism is utilized, the problem of updating failure caused by unchanged mirror image labels is thoroughly solved, a Kubernetes updating mechanism is triggered by utilizing annotation injection, the operation and maintenance complexity is greatly reduced, and repeated operations generated by frequently changing packets in a development stage are reduced.

A container orchestration method and system applied to Kubernetes, the method comprising: a Webhook component intercepts and scans a Pod creation request to determine whether a first environment variable is included in a target container, the first environment variable being used to indicate that the target container is a sidecar container; in the case where the target container includes the first environment variable, the target container is Downward API formalized; after the Downward API formalization is completed, the API server writes the Pod configuration information of the target Pod to a distributed database, and the sidecar container is Downward API formalized, so as to facilitate subsequent modification of the startup command of the container through the Downward API, implement the exit mechanism of the sidecar container, and realize the universality of the container exit scheme.

The fastjson deserialization vulnerability call chain mining method and system comprise the following steps: configuring a Webhook of a code repository; receiving updated project information, identifying the URL address of the project code, and storing the Java source code of the project; parsing the Java source code into an abstract syntax tree and then converting it into a Python dictionary tree; detecting whether the Java source code references or uses the Fastjson library and whether a fastjson vulnerability version exists; detecting whether a JSON string exists; detecting whether a JSON string is deserialized into an object and whether the object is operated, and verifying whether an injection vulnerability exists; and determining whether a fastjson deserialization vulnerability exists, and if so, outputting the call chain result of the fastjson deserialization vulnerability. The present application greatly reduces the burden of manual mining and improves the mining efficiency and accuracy.

The invention discloses an interface adaptive accurate analysis AI intelligent question system and method, and belongs to the technical field of artificial intelligence. The method is a comprehensive solution based on user Token dynamic authentication, a Webhook-driven API metadata adaptive mechanism, a large language model and execution environment cooperative computing. The system automatically synchronizes and semantically enhances interface description by monitoring a change event of the API management platform, and stores the interface description into a vector database; when the user asks questions, semantic retrieval and API selection are carried out in combination with the identity Token of the user, and permission verification is carried out based on the Token; and when the returned data volume is relatively large, the Python sandbox is automatically triggered to execute the statistical code generated by the LLM, so that the accuracy of numerical calculation is ensured. According to the invention, the integrated intelligent number asking capability with controllable authority, accurate result and self-adaptive interface is realized, and the safety, reliability, maintainability and the like of an enterprise-level information system can be remarkably improved.

Techniques for webhook registration are disclosed, including: receiving, by an integration platform, a metadata document associated with a producer, wherein the metadata document describes (a) a set of conditions for identifying webhook validation requests and (b) a set of one or more operations for validating webhook validation requests; instantiating, by the integration platform, an adapter based on the metadata document; determining, by the integration platform using the adapter, that a request from a producer satisfies the set of conditions for identifying webhook validation requests; responsive to determining that the validation request satisfies the set of conditions for identifying webhook validation requests: executing the set of one or more operations for validating webhook validation requests, to validate a registration of a consumer with the producer.

The application relates to the technical field of traffic processing, in particular to a Spark job traffic control method, which comprises the following steps: in the case that a new service container group is created, a webhook injects an agent container and a wasm plug-in container in the new service container group, and an adapter collects and manages Pod information of the new service container group to build a service container group topology relationship; in the running process, all network traffics of the service container are hijacked by the wasm plug-in container, original traffic connection information carried in the network traffics is extracted and sent to the agent container; the agent container reconstructs the original traffic connection information to obtain target traffic connection information, and sends the target traffic connection information to the adapter; the adapter generates a traffic control strategy based on the target traffic connection information, processes the target traffic connection information in combination with a current processing stage, generates a traffic processing instruction, and transmits the traffic processing instruction to the wasm plug-in container through the agent; the wasm plug-in container executes the traffic processing decision to determine whether to allow the traffic to pass.

The invention provides a method, a system and equipment for continuous integration and delivery of DevSecOps private cloud Ansible fusion, and a storage medium, and relates to the technical field of DevSecOps. According to the method, an Ansible Automation technical architecture is planned, and task execution weights are evaluated and priorities are divided based on a resource, role and security script three-index normalization algorithm; constructing an Ansible script library and combining the Ansible script library with an AI fine tuning model to realize baseline compliance automatic closed loop; a random forest model is adopted to predict the fusion degree, and seamless integration of Ansible and a CI / CD tool is realized through Webhook; and generating an enterprise diagnosis report based on a multi-dimensional maturity scoring algorithm. According to the method, the problems of scattered security baselines, insufficient compliance verification and low efficiency of dynamic operation and maintenance response are solved, the security automation execution efficiency and the process response capability are improved, and an innovative solution is provided for DevSecOps landing in a private cloud environment.

The application discloses an intelligent code analysis system and method based on a graph database, and the system realizes accurate modeling and efficient query of code complex dependence by constructing a multi-dimensional code relation graph and utilizing a graph database. The system supports incremental analysis triggered based on a GitLab Webhook event and full-scan mode triggered manually or at a fixed time, and simultaneously integrates multiple AI models, dynamically calls lightweight or deep analysis models, and optimizes AI calling cost through intelligent context filtering and token rate control mechanism. The application significantly improves the accuracy, efficiency and real-time performance of code analysis, and the AI analysis accuracy is improved by more than 30%, the analysis time of large projects is shortened by 60%, and the AI calling cost is reduced by 50%, which is suitable for enterprise-level code quality management and control and DevOps process integration.

The disclosure describes a system for enforcing role-based access control in a multi-tenant compute cluster with cross-namespace references. A control plane of the compute cluster receives a custom-resource request from a tenant to create or modify a first custom resource in a tenant namespace. The first custom resource references if a second custom resource in an administrative namespace. In response to the request, the control plane transmits a validating admission request to a data-protection controller registered as a webhook endpoint for admission validation. The data-protection controller retrieves access metadata from the referenced second custom resource and generates an admission determination indicating whether the tenant's request satisfies cross-namespace access conditions defined in the metadata. The controller returns the admission determination to the control plane, which admits or denies the custom-resource request accordingly.

A system for unified transaction management includes an email watcher configured to monitor a user's mailbox, detect new emails satisfying predefined conditions, and trigger a workflow for a new email satisfying the predefined conditions; a Webhook configured to transmit structured or unstructured data from the email watcher to a messaging infrastructure; a pipeline service configured to receive and distribute the structured or unstructured data as a message from the Webhook to downstream processing components; a parser configured to convert unstructured data into structured data representations if data received from the pipeline service includes the unstructured data; a summarizer configured to generate concise summaries of transaction information from the structured data or the structured data representations; and a user application interface configured to present summarized transaction information in a unified, consistent user interface that consolidates transactions from multiple retailers into a single, cohesive dashboard.

The application relates to the technical field of software analysis, in particular to a software component automatic analysis method and system based on WebHook and a storage medium, which comprises the following steps: configuring WebHook in a code library; in response to the triggering of a monitoring event in the code library, sending the triggered event to an analysis server for conditional judgment; if the condition is not met, directly ending the process; if the condition is met, using a double-branch scanning and differential comparison method to identify newly added components and version-upgraded components, performing dependency analysis and root cause positioning to obtain associated root cause components; performing vulnerability query to identify components with security vulnerabilities; and based on the root cause components, establishing an association between the components with security vulnerabilities and corresponding root cause components to generate an analysis result. The application introduces configurable trigger judgment logic, realizes fine filtering of code change events, improves resource utilization efficiency, and at the same time, positions root cause components causing security problems to provide repair guidance for developers.

This application provides a method for interaction between a GitTops and a Kubernetes container, relating to the field of internet technology. The method includes: establishing an interactive link between a web page and a Git repository, and passing the container's execution command to the Git repository; monitoring the Git repository via a webhook and invoking the container linker based on the interaction request; establishing interactive links between the container linker and the Git repository, and between the container linker and the container console, enabling the Kubernetes container to execute the container's execution command; and recording operation logs in the Git repository for auditing. This application's embodiments achieve isolated interaction between the web page and the Kubernetes container, avoiding direct exposure of the Kubernetes container's link address and improving interaction security; auditing during the interaction is only performed on the Git repository, effectively improving audit accuracy and reducing audit risk.

A method for using a fraud detection application running on a mobile device to monitor, in real-time, a telephonic communication on the mobile device. Data may be continuously extracted from the telephonic communication by the fraud detection application. The method may include determining from the extracted data, that the data includes a fraud indicator. In response to the determining, a webhook may be generated that includes a payload storing metadata of the telephonic communication. The method may include identifying a group of mobile devices that may be associated with the data and further transmitting the webhook to each of the group of mobile devices and an entity server supporting the fraud detection application. The method may include receiving a rating of the telephonic communication from at least some of the mobile devices and from an entity server and using the ratings to determine a threshold level of fraud.

The invention mainly provides an automatic synchronization method for a BI system. The automatic synchronization method comprises the steps that a scheduling platform exports data to a database regularly; starting a CDC monitoring service for log information of the database, capturing change data of the scheduling task instance table, exporting task information parameters which are successfully executed, converting the task information parameters into interface data, and pushing the interface data to a webhook service; after receiving interface data, the webhook service transmits the interface data to a shell script for judgment processing, splices a curl command according to a project name and a table name configured by a BI system, and pushes the curl command to a BI system interface; and the BI system triggers a data synchronization task after receiving the data. According to the technical scheme, the change of the database is captured in real time, the BI system is triggered in time to synchronize the data, near-real-time updating of the data is achieved, the timeliness of data analysis and display is improved, meanwhile, unnecessary resource waste is avoided, and the overall performance and efficiency of the system are improved.

In some implementations, an aggregation system may receive, from a user device, a registration message. The aggregation system may receive, from a data source, an initial set of structured data. The aggregation system may receive, from the data source and periodically, updates to the initial set of structured data. The aggregation system may transmit, to the user device and via a webhook activated based on the registration message, an indication of each update. The aggregation system may generate, based on each update, a corresponding differential data structure. The aggregation system may transmit, to the user device, each corresponding differential data structure.

This application provides an automated delivery system and method for application artifacts. After receiving customized requests from users on an aPaaS webpage, the system encapsulates these requests into HTTPS request packets and sends them to a relay server. This triggers a pre-defined CI / CD pipeline task on the GitLab server. The relay server then injects the HTTPS request packets into the GitLab server to generate the corresponding application. The execution result is fed back to the aPaaS webpage via a Webhook mechanism. The aPaaS webpage then receives download commands from users and downloads the corresponding application artifacts from the GitLab server's pipeline artifact library via the GitLab API. This addresses the problem of GitLab servers struggling to implement complex user customization logic and real-time component linkage through a graphical interface, resulting in a poor user experience.

Isolated shared pools of CPUs are reserved for allocation by a device plugin, such as a system daemon rather than by a Kubelet and the CPUs are hidden from the Kubelet. The device plugin is referenced as a processing device and the Kubelet requests allocation of CPUs from the device plugin. A container runtime interface detects references to the device plugin and binds containers to the reserved CPUs. A mutating webhook may modify requests prior to receipt by the Kubelet to reference the device plugin rather than CPUs.

The application belongs to the technical field of cloud computing, and provides a method for realizing container resource customized scheduling and deletion protection based on Webhook technology. Through the method, the following can be realized: automatically scheduling container resources to specified nodes for creation, ensuring that the resources on the tenant side do not preempt the resources on the management side when being created; adding protection annotations to the resources when creating resource objects; when deleting key resources of a cluster, deciding whether the resources can be deleted according to whether the protection features are enabled, so as to realize resource deletion protection. The application has the beneficial effects that: the container resource customized scheduling is realized, and the resources on the management side can be protected from being occupied by the resources on the tenant side without human intervention; the deletion protection is performed on the key resources in the cluster, so as to prevent the cluster from being unavailable due to the misdeletion of the key resources of the cluster; the nodes on which the tenants install the containers are specified, so as to meet the user-defined scheduling.

The present disclosure provides a game server updating method and device and a storage medium, and relates to the technical field of computers. A message interaction component generated based on user demand is acquired; a user operation on the message interaction component is received to generate a server updating command; a Jenkins task is created through a task robot according to the server updating command; an updating script is called according to parameter data of the message interaction component; the updating script is executed through the Jenkins task, and an updating file is uploaded to a jump machine, so that the jump machine uploads the updating file to an Erlang game server, and the Erlang game server is updated according to the updating file, wherein a trust relationship is established in advance between the jump machine and the Erlang game server; and the updating progress of the Erlang game server is sent to a webhook address through the updating script, wherein the webhook address is generated by the task robot, and the webhook address is pre-configured in the updating script. The game server is automatically hot-updated, the operation time of updating is saved, the labor cost is reduced, and the updating efficiency is improved.