42 results about "Working directory" patented technology

The invention discloses a multi-mode automatic deployment starting method and system for redis, and belongs to the technical field of memory databases, and the method comprises the following steps: an early-stage preparation work part: making a redis binary executable program compatible under different CPU (Central Processing Unit) architectures; the resource verification part is used for verifying node information, a node memory and node disk information configured in the configuration file; the storage configuration part is used for configuring a storage directory according to the storage information configured in the configuration file, and automatically creating and mounting a data disk for a redis working directory; and the self-deployment part is used for installing a binary executable program into each node according to node information configured in the configuration file, modifying necessary parameters of the redis configuration file, and pushing the redis configuration file to a data directory of each node. According to the method and the device, the redis can be automatically deployed and started according to different CPU architectures and deployment modes under the condition of different CPU architectures and deployment modes.

The application discloses a JSON data processing system implementation method based on FastAPI, which comprises the following steps: establishing a working directory based on FastAPI, creating a request processor in the working directory, and receiving original JSON data through the request processor; constructing a database object model in the working directory, generating a database table, and storing the original JSON data into the database table; constructing a business verification model in the working directory, preprocessing the original JSON data through the business verification model, and converting the processed JSON data into a Python object; creating a business processing tool in the working directory, processing the business logic of the Python object through the business processing tool, converting the processed Python object into a JSON data format; and creating a request agent and a middleware client agent of an external system in the working directory, and interacting the converted JSON data with the external system and the middleware. The application realizes an asynchronous processing kernel, supports high-concurrency tasks, improves the execution efficiency, and reduces the response time.

The application discloses a kind of collaborative instruction analysis and multi-actuator task processing method and system, the method includes: configuration Webhook and solidification server configuration, skill resource root directory is physically separated from business warehouse;With original byte stream reception request and sign, it is parsed into structured event by post;Extract text and match valid instruction, capture provider keyword and instruction text;Build basic context;Carry out intention recognition, route to corresponding branch and read skill description file, assemble complete prompt;Distribute independent working directory and clone code;According to the unique actuator execution task of provider keyword from mapping table;With single comment iterative update mode, present progress;Result is written back to topic or merged request.The application realizes multiple entry collaborative closed loop, skill and business decoupling, multi-actuator unified scheduling and progress visible execution.

The embodiment of the invention provides a system deployment method and computing equipment, relates to the technical field of cloud native, and can complete deployment of a cloud native system in an offline environment. The method comprises the following steps: sending a software related package set to a target working node of a cluster through a control node of the cluster; the software related package set comprises software related packages required for deploying the cloud native system. And then, sending a first instruction to the target working node to instruct the target working node to store the software related package set in a first preset working directory of the target working node. And then, sending a second instruction to the target working node to instruct the target working node to create a first offline mirror image source file based on the software related package set under the first preset working directory. Then, the cloud native system can be deployed on the target working node based on the first offline mirror image source file, and the first offline mirror image source file is used for representing a source of a software related package needed for installing the cloud native system.

The invention belongs to the technical field of knowledge engineering, and discloses a Flowmaster-based element model and system model storage and knowledge integration method, which comprises the following steps of: step 1, configuring a storage database address, user information and a working directory, in which a storage database comprises sub-libraries such as an element library, a system library and a knowledge library; 2, establishing an element model and a system model, and uploading the element model and the system model to corresponding libraries; 3, importing the element model and the system model which are stored in the element library and the system library into Flowmaster; and 4, associating the element model and the system model with knowledge.

The invention discloses a script engine and a method for loading and executing processes of the script engine, and the method comprises the following steps: a rule engine analyzes and compiles all process files in a working directory to generate a grammar rule check tree, a symbol table and a program table; the virtual machine loads the symbol table and the program table to a system and initializes and assigns variables in the global variable table; in the process of initializing the variables, independently initializing global symbols in the symbol table, adding the global symbols into a global variable table, and establishing an index for the global variable table; after variable initialization is completed, the virtual machine starts process management, and the process management is responsible for management of a program calling frame stack and a process local variable container. According to the invention, the flexibility and expansibility of field process implementation are improved.

The invention relates to the technical field of cloud services, in particular to a data storage method and device, a server and a computer readable storage medium. According to the method, the global mounting directory on which the target storage volume is mounted is associated with the file system of the container, specifically, the mounting path of the target storage volume under the global mounting directory is bound with at least one of a writable layer and a working directory layer included in the file system corresponding to the container; therefore, the data generated in the operation process of the container is directly stored in the target storage volume, persistent storage of the operation data of the container in the cloud disk is realized on the premise that the use mode of the container is not changed, manual intervention of a user is not needed, and the efficiency and accuracy of data persistent storage are improved.

The mirror image data processing method of the operating system comprises the following steps: acquiring an original ISO mirror image file of the operating system, and mounting the original ISO mirror image file to a specified directory; copying a file system of the original ISO mirror image file to a working directory and forming a system file copy; adapting a snapshot tool according to the type of the operating system, obtaining a dependency item of the snapshot tool and installing the snapshot tool; configuring the snapshot file in the current state into a read-only attribute through an authority management function of the system file copy, and generating a read-only snapshot file; modifying a system startup script to automatically load a snapshot tool and identify a read-only snapshot file of a specified subdirectory when an operating system is started; and unloading the initially mounted original ISO mirror image file, and packaging the complete system file copy in the working directory into a new ISO mirror image file by using a mirror image packaging tool. According to the scheme, the system starting reliability is improved, multi-architecture adaptation is supported, the development and maintenance cost is reduced, and efficient and stable deployment is guaranteed.

The present application discloses a system and encoding / decoding method suitable for DNA storage of PB-level data. The data storage system includes multiple DNA clusters. The DNA cluster contains a data chain formed after binary data encoding, an XOR redundant chain generated by the data chain, an address chain of the DNA cluster at the storage system location, a basic information chain of the stored file, and a redundant chain generated by the XOR of the address chain and the file information chain. When a save operation is performed on a file with a preset suffix, a user-mode monitoring program receives an execution instruction and copies the file to a working directory, and encodes or decodes the file according to the file suffix. The result of the encoding or decoding operation is copied back to the original file directory. The present application enables the total capacity of the DNA database to reach above the PB level, allowing DNA storage to realize the application potential of high data density. At the same time, it can realize the automatic encoding of binary data and the automatic decoding of base sequences, streamline and automate the entire encoding and decoding process, and facilitate subsequent data management and archiving.

The invention discloses a multi-user remote construction method and device and electronic equipment, and belongs to the technical field of computer software development. The method comprises the steps that a remote server is logged in, and the remote server creates a virtual working directory under an independent user directory of a current SSH session; mounting the virtual working directory as a session-level virtual disk consistent with a local development environment drive so as to obtain a path mapping environment in which a remote compiling path is consistent with a local development path; on the basis of the path mapping environment, the change file and the construction script of the local development environment are synchronized to the corresponding path in the session-level virtual disk to obtain a remote synchronization code set, and the path of the remote synchronization code set in the session-level virtual disk is kept consistent with the path of the change file; the construction script is remotely executed to start a compiling process to process the remote synchronous code set, and a remote target file set is obtained; and returning the far-end target file set to a corresponding path of the local development environment to obtain a local synchronous target file set.

The present invention relates to the technical field of operating system kernel monitoring, and discloses a file operation tracking method, device and equipment based on eBPF. The method includes: responding to a real-time tracking request, traversing all processes, historical file descriptors opened by the processes and historical working directories corresponding to the processes, and determining the historical file descriptors and historical working directories of the current process according to the process control symbol of the current process; obtaining the relative path of the file opened in real time by the current process; determining the absolute path of the file opened in real time according to the historical file descriptors of the current process and the relative path of the file opened in real time, or according to the historical working directory of the current process and the relative path of the file opened in real time. The present invention avoids the performance loss caused by frequent data exchange between user space and kernel space, has minimal impact on business performance, has strong real-time performance, improves tracking efficiency and accuracy, collects system call parameters to track process file operations, and has more flexible monitoring functions.

The invention belongs to the technical field of computer system software, and particularly relates to an embedded real-time container deployment method based on a local mode, which comprises the following steps: after a container project executes compiling construction on a construction side, transmitting a corresponding file to a remote server to execute construction of a container mirror image; after mirror image construction is completed, mirror image files are pushed to a local storage directory of a target machine, a container engine executes a decompression step on the local mirror image files, corresponding files needed for starting a container are decompressed to a corresponding working directory, and finally the corresponding container is created and started or directly operated through the container engine. According to the invention, strong dependence on a remote mirror image warehouse can be avoided.

The application relates to a method, system, device and medium for realizing multi-tenancy based on directory partitioning. In the multi-tenancy mode, a first target root directory with a true tenant root directory attribute is created, and a target first-level subdirectory with a true target working directory attribute of a tenant is created under the first target root directory according to the tenant; the target first-level subdirectory is only visible and accessible to the corresponding tenant; a target second-level subdirectory with a true target namespace working directory attribute of a user under the corresponding tenant is created under the target first-level subdirectory, and the target second-level subdirectory is only visible and accessible to the corresponding user to realize resource isolation between different users; and the user can create a subdirectory with a true ordinary directory attribute under the corresponding target second-level subdirectory to realize file management index. The application realizes resource isolation between tenants and users by using directory partitioning of a file system directory, so as to meet the multi-tenancy and multi-user demand.

The application discloses a kind of for case distinction Android SDK merging method and system, and the method specifically includes: in response to construction instruction, the AAR / JAR file to be merged is decompressed to temporary working directory;Based on path conflict discrimination model, scan the class file path in temporary working directory, identify out potential conflict path set;For each logical path in potential conflict path set, generate mapping identifier, and according to mapping identifier, the class file corresponding to original logical path is added to the compiled code path list of Gradle construction system;According to path mapping relationship table, the class file in compiled code path list is packaged into JAR file, and is packaged into AAR file, generates target AAR file.The application effectively solves the class file path conflict problem caused by case distinction Android SDK merging in that file system does not distinguish case, and guarantees the normal operation of project.

The invention provides a method and device for generating a file of a vehicle electronic control unit and a storage medium, and relates to the technical field of vehicle engineering. The invention discloses a method for generating a file of a vehicle electronic control unit. The method comprises the following steps: acquiring related information of a target file provided by a user; loading the variable according to the related information of the target file; according to the name of the loaded simulation model, configuring operation parameters of the simulation model; in response to triggering the simulation model to run and generate a source code file, copying the source code file to a path corresponding to the working directory according to the loaded working directory; and generating a target file by executing the compiling script according to the file in the working directory. Through the method, the manual operation burden is reduced, and the model development efficiency is improved.

This application relates to the field of computer technology, providing a method and computing device for recovering corrupted metadata. The method includes: detecting the activity status of a container runtime; when the activity status is inactive, creating a temporary test file in the working directory of the container runtime; if the temporary test file is successfully created, reading the runtime log of the container runtime; if the runtime log contains any preset keyword, determining that the metadata of the container runtime is corrupted, and updating the corruption detection count of the container runtime; when the corruption detection count is greater than or equal to a detection threshold, restoring the metadata file of the container runtime. Based on this solution, a host device equipped with a container orchestration platform can periodically detect and identify whether a fault involves the metadata file of the container runtime, achieving accurate identification and controllable repair of corrupted metadata, and improving the response speed for handling corrupted metadata files.

The application provides a cross-platform automatic data batch processing method, system, device and storage medium, the processing method comprises: setting a secure encrypted passwordless login cluster on a local computer; creating a data batch processing instruction for the secure encrypted passwordless login cluster to provide a cluster account, create a working directory, input and output files; creating a task execution instruction for the secure encrypted passwordless login cluster to detect whether the working task is being executed; loading and executing the data batch processing instruction in the data optimization software to start the local computer and the cluster cross-platform transmission file and execute calculation. The application realizes cross-platform cross-system passwordless interactive operation of the local computer and the cluster, reduces manual operation, maximizes the use of computing resources, greatly improves the optimization design efficiency, and provides real-time feedback of the optimization effect for timely adjustment of the optimization strategy, and has optimization case generality and expandability.

The present application provides a continuous integration method and device, the method comprising: when receiving an integration request, assembling the request content carried in the integration request into an integration object and storing it in an integration queue; when reading an integration object from the integration queue, using the download address in the integration object to download the code package, and decompressing N folders into the integration working directory; wherein N is the number of configured React Native versions; obtaining the SDK compressed package, and decompressing the SDK compressed package into the N folders according to the SDK version number; integrating and compressing the specified platform files for the N folders respectively; uploading the compressed platform files according to the upload address in the integration object. The method can realize continuous integration of React Native with multiple version controls under the premise of high availability and security.

The invention provides a file loading method and system based on OverlayFS, electronic equipment and a medium, and the method comprises the following steps: creating a memory file subsystem, establishing an upper directory and a working directory of the OverlayFS in the memory file subsystem, copying a specified file from an original partition to the upper directory, endowing the specified file with an execution permission, and loading the execution permission to the memory file subsystem; and generating a combined view through OverlayFS mounting, and executing a specified script based on the combined view. The method has the beneficial effects that the security policy of the system is maintained, and the potential security audit problem is reduced, so that the program can be dynamically executed in a non-privileged environment, the requirements of a modern cloud environment and a multi-tenant platform are met, flexible application deployment and updating are realized, the system efficiency is improved, and the system safety is improved. And safe operation of the executable component is ensured, and an ideal space is provided for data persistence synchronization.

The invention provides a self-adaptive external tool chain integration method, and belongs to the field of intelligent driving, and the method comprises the steps: obtaining tool chain parameters, integrating a binary file of the tool chain parameters and the content of sysroot into a Yocto work directory, verifying whether the dependency relationship of a dynamic library in the integrated sysroot is complete or not, recursively scanning an original SDK directory and the work directory after Yocto integration, and comparing the original SDK directory with the work directory after Yocto integration. According to the method, the original process that multiple complex parameters need to be manually and accurately configured is simplified into the process that only two intuitive variables (tool chain paths and modes) need to be set, a user does not need to deeply understand the internal directory structure and naming specifications of the tool chain, and the operation is simple and convenient. Configuration failure caused by spelling errors, inaccurate path setting and parameter mismatching is fundamentally avoided, and an embedded development beginner can also rapidly complete integration.

The present application relates to the technical field of speech recognition, in particular to an offline speech recognition dynamic hotword injection method based on engineering context. The method comprises: in response to a voice input trigger instruction, obtaining a working directory path of a current development environment and extracting engineering context features; performing engineering word segmentation processing on the features to generate a candidate hotword set; sorting and intercepting according to a preset weight rule to construct a dynamic prompt word sequence; injecting the sequence into a decoding stage of a local offline speech recognition model to guide the model to recognize audio data to be recognized; and outputting a recognition result to a downstream application module. The present application dynamically generates hotwords by real-time sensing of software engineering state and injects guidance in the decoding stage, without model fine-tuning or cloud service, thereby improving the recognition accuracy of engineering-specific vocabulary and realizing local offline processing to protect data privacy.

This invention relates to a method and system for secure execution and isolated scheduling of multiple solvers for intelligent agents. The method includes the following steps: Step 1: Matching a suitable target solver for the current task based on the user's task objective; Step 2: Creating an independent temporary working directory for the current task and generating corresponding input files for the target solver; Step 3: Calling and running the target solver in a controlled environment, with the target solver calculating results based on the input files; Step 4: Encapsulating the obtained results into a standardized result object in a unified format and returning it to the upper-level intelligent agent. The system includes a unified scheduling unit, an isolated execution unit, a security management unit, and a unified return unit. This invention can achieve operational isolation between different solvers, reduce the risk of dependency conflicts and task interference, and improve the security and controllability of tool calls through control of the execution process.

The application belongs to the technical field of knowledge engineering, and discloses a component model and system model storage and knowledge integration method based on Flowmaster, which comprises the following steps: step one: configuring storage database address, user information, and working directory, wherein the storage database comprises component library, system library, and knowledge base and other sub-libraries; step two: establishing component model and system model, and uploading the component model and system model to corresponding libraries; step three: importing the component model and system model saved in the component library and the system library into Flowmaster; and step four: associating the component model and system model with knowledge.

The present invention provides a method for fine thread CAE parametric modeling and pre-tightening simulation, including software and working directory settings; inputting geometric feature parameters and generating a MAC file; calling MAPDL.exe and the MAC file for modeling; generating a single pitch ring and meshing it; decoupling elements from geometric features; moving nodes to generate thread features; duplicating single-pitch elements to generate a complete thread; completing remaining features to form a complete bolt; exporting a finite element model in cdb format; and applying torque and rotation angle to the bolt head for calculation. The present invention has the beneficial effects of achieving parametric modeling of a fine thread CAE model using only ANSYS software, significantly reducing software purchase costs. The principles of this modeling method are not limited to ANSYS but can also be applied to simulation software such as ABAQUS.

The present invention discloses a distributed version control method based on object storage and fine-grained access control, including: using distributed object storage as the storage medium for the version library of the distributed version control system, and quickly realizing the rapid expansion of the storage space of the version library of the distributed version control system by adding storage nodes; monitoring the branch information of the server version library, creating, updating or deleting the corresponding working directory in the storage bucket; and controlling the access to the version library by using a fine-grained permission access control method. The present invention has the ability to quickly expand the storage space of the version library, finer-grained version library access control and data security, and can be used for distributed version control of file data that needs to be version-controlled.

The embodiment of the present invention discloses a container escape defense method, device and storage medium, the method comprising: before the container is started, the corresponding disk volume is allocated according to the container settings, and the disk volume is securely configured; the disk volume after the security configuration is set to read and write mount; after the container is started, the working directory of the container is mounted and associated with the disk volume to prevent the container escape attack from running in the container working directory. When the container is running, the allocated disk volume can prevent key commands and programs from running, and prevent access to device files. The control of the container working directory is achieved by controlling the disk volume, without the need to set a complex security mechanism or monitor the container business, and can achieve a good defense effect against container escape attacks without incurring additional overhead.

The embodiment of the invention discloses a container escape defense method and device and a storage medium, and the method comprises the steps: before a container is started, distributing a corresponding disk volume according to the setting of the container, and carrying out the security configuration of the disk volume; performing read-write mounting setting on the disk volume subjected to security configuration; and after the container is started, carrying out mounting association on the working directory of the container and the disk volume to prevent the container from running in the working directory of the container in an escape attack manner. When the container runs, key commands and programs can be prevented from running in the distributed disk volume, and access to device files is prevented. According to the method and the device, the working directory of the container is managed and controlled by managing and controlling the disk volume, a complex security mechanism does not need to be set, container services do not need to be monitored, a good defense effect on the escape attack of the container can be achieved, and extra overhead cannot be generated.

The invention discloses a container SSH service user password persistence method and system based on AI large model training, and belongs to the field of data persistence. The method comprises the steps that a C language design is used for achieving an SSH password persistence tool, a Shell language is used for achieving starting and running of a script program of a container, when the container is started every time, a password in a persistent volume is reimported, and a default password is logged in for the first time. And restarting the container to load the password in the persistent volume. When the Dockerfile script is compiled, a mirror image is generated in a mirror image of a starting script + SSH password persistence tool copy under a working directory, and SSH configuration is loaded from persistence storage when a container is started. The SSH password can be encrypted and stored by using a user-defined or key management service, and the operation container is started by using a K8S cluster and a Docker environment to provide an SSH password persistence service method to the outside. The method can be integrated into the CI / CD process on the premise that data security is ensured, and automatic updating and management of SSH service user password configuration are achieved.

The invention discloses a metadata version control method, which comprises the following steps of: establishing a metadata version control system consisting of a Git warehouse comprising a main branch and individual branches of all users, a plurality of associated working trees serving as working directories, and a database table used for recording user states; storing metadata in a main branch of a version control system in a JSON text file form, and managing the metadata by the Git warehouse; using a file system as a working directory of the Git, and providing a complete metadata version control service for an upper-layer application by packaging branches, submission, merging, rollback and log capabilities of the Git; when a target user in a browsing state initiates a metadata write operation, the metadata version control system judges whether the personal workspace of the target user exists or not, and executes an operation such as creating the personal workspace of the user according to a judgment result.

The invention relates to an agent remote operation system and method in the technical field of agents. A communication layer of the system comprises Web socket service and HTTP service, and a service layer comprises a file management module and a local file system. The Web socket service is used for responding to a Web socket connection request of the intelligent agent client and dynamically calculating a working directory so as to establish Web socket connection with isolated working areas; the file management module responds to a write-in request initiated by the intelligent agent client through the Web socket service, and executes dynamic threshold value block type file write-in to a local file system through Web socket connection; and the file management module is also used for responding to a static reading request initiated by the intelligent agent client through the HTTP service, and executing dynamic threshold block type file reading from the local file system through the HTTP connection. According to the scheme, the read-write separated dynamic threshold value is transmitted in a blocking manner, so that the transmission requirement is flexibly met; and a working directory is dynamically calculated to realize working area resource isolation.