rule-engine | 基于流程 , 事件驱动 , 可拓展 , 响应式 , 轻量级的规则引擎。 | Rule Engine library

 by   jetlinks Java Version: 1.1.6 License: No License

kandi X-RAY | rule-engine Summary

kandi X-RAY | rule-engine Summary

rule-engine is a Java library typically used in Server, Rule Engine, Kafka applications. rule-engine has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can download it from GitHub.

基于流程,事件驱动,可拓展,响应式,轻量级的规则引擎。
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            kandi-support Support

              rule-engine has a highly active ecosystem.
              It has 86 star(s) with 52 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 17 days. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of rule-engine is 1.1.6

            kandi-Quality Quality

              rule-engine has 0 bugs and 0 code smells.

            kandi-Security Security

              rule-engine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              rule-engine code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              rule-engine does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              rule-engine releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              rule-engine saves you 2734 person hours of effort in developing the same functionality from scratch.
              It has 5923 lines of code, 430 functions and 152 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rule-engine and discovered the below as its top functions. This is intended to give you an instant insight into rule-engine implemented functionality, and help decide if they suit your requirements.
            • Parse model
            • Parse config element
            • Parse element node
            • Convert rule data to a context map
            • Accept map
            • Parse rule model
            • Set job
            • Clean up resources
            • Returns all values for the given key
            • Gets a codec for the given class
            • Evaluate script
            • Start rule
            • Evaluate condition
            • Rebalance schedulers
            • Parse link
            • Dump task snapshot
            • Setup scheduler
            • Shutdown the instance
            Get all kandi verified functions for this library.

            rule-engine Key Features

            No Key Features are available at this moment for rule-engine.

            rule-engine Examples and Code Snippets

            No Code Snippets are available at this moment for rule-engine.

            Community Discussions

            QUESTION

            Behavior change in speech-rule-engine 3.2?
            Asked 2021-May-12 at 13:41

            I'm using the speech-rule-engine to generate English text from MathML. When trying to upgrade from v3.1.1 to v3.2.0 I'm seeing tests fail for reasons I don't understand.

            I created a simple two file project that illustrates the issue:

            package.json ...

            ANSWER

            Answered 2021-May-12 at 13:41

            Problem solved, with the help of the maintainer of SRE. The problem is not in 3.2.0, but that jest does not wait for sre to be ready. The test was only correct by a fluke in 3.1.1 as the rules were compiled into the core. The following test fails with the above setup in 3.1.1 as well as the locale is not loaded:

            Source https://stackoverflow.com/questions/67423016

            QUESTION

            Does kafka holds capability of rule-engine?
            Asked 2020-Jul-28 at 21:19

            We are using kafka for messaging and lot more stuff but now there is a requirement where we need some kind of rule-engine for data processing based on some rules. Does kafka holds any capability like this (rule-engine) or we have to use third party rule engine's (eg. https://camunda.com/dmn/ ) only and integrate with kafka.

            ...

            ANSWER

            Answered 2020-Jul-28 at 13:26

            There is no need to use a third party rule engine with Apache Kafka. As part of the project there is Kafka Streams and also to ease off a bit the need to write Java code to express rules there is ksqlDB that is based on a subset of ANSI SQL.

            While these options are not necessarily a rule engine per-se; they share the same semantics which is: given an intermediate processing output the relevant result based on the computation. The difference will be in the how and not in the what. So I think they are decent replacements.

            You can always integrate both as well. Several rule engines such as Drools from Red Hat are Java-based and thus; can be easily accessed from a Kafka Streams processor. As long the if-then-else rules run in the same JVM space of the Kafka Streams application you won't have any performance penalties other than a possibly bigger JVM heap.

            Source https://stackoverflow.com/questions/63133996

            QUESTION

            how to print all students name which have percentage more than 70% in javascript?
            Asked 2020-Jul-12 at 03:47

            I am using json-rule-engine . https://www.npmjs.com/package/json-rules-engine I am having a student list which have name and their percentage, Also I have business rule the percentage should be greater thank or equal to than 70 . so I want to print all students name those have percentage more than 70

            here is my code https://repl.it/repls/AlienatedLostEntropy#index.js

            student list

            ...

            ANSWER

            Answered 2020-Jul-12 at 03:40

            The json-rules-engine module takes data in a different format. In your Repl.it you have not defined any facts.

            Facts should be:

            Source https://stackoverflow.com/questions/62856619

            QUESTION

            How to implement shacl rules
            Asked 2019-Nov-18 at 23:01

            Are there any pre-built rule-engines for SHACL?

            I'm currently using pyshacl, which does support the rule-engine, but does not update the data graph with the new statements.

            ...

            ANSWER

            Answered 2019-Nov-18 at 23:01

            If this is about SHACL-AF inference rules (https://w3c.github.io/shacl/shacl-af/#rules) then the TopBraid SHACL API does have support, including a shaclinfer command line tool.

            https://github.com/TopQuadrant/shacl

            The term "rule" is overloaded and some people call validation constraints also rules, so I am not 100% sure what you are referring to.

            Source https://stackoverflow.com/questions/58921241

            QUESTION

            ThingsBoard Rule Chains RPC Call Request
            Asked 2018-Nov-20 at 02:32

            After give a try of ThingsBoard RPC Call Sample, I found that "ROTATING SYSTEM" device can get message from v1/devices/me/rpc/request after it publish a message to v1/devices/me/telemetry by itself;

            If Rule Chains transform messages from other device, for example, update metadata.deviceName and metadata.deviceType from others to "ROTATING SYSTEM", "ROTATING SYSTEM" device cannot get any message.

            RPC Call Sample mentioned that "WIND DIRECTION SENSOR" device send messages to ThingsBoard Server, after Rule Chains magic, "ROTATING SYSTEM" device can get RPC messages; but according to my experiment, it can't, "ROTATING SYSTEM" only get trigged after it send messages by itself to ThingsBoard.

            So, my questions is, what is the best practice of Rule Chains on ThingsBoard Server to implement "deviceA trig deviceB"?

            ...

            ANSWER

            Answered 2018-Nov-20 at 02:32

            I got the answer, if you want "deviceA trig deviceB", you should create a relation between deviceA and deviceB, then add a rule node "change the originator" to change the originator from deviceA to deviceB.

            Source https://stackoverflow.com/questions/52891565

            QUESTION

            sonarcloud badge on github
            Asked 2018-Mar-02 at 09:33

            I am trying to add sonarcloud badge to my README. But when I do like this

            ...

            ANSWER

            Answered 2018-Mar-02 at 09:25

            The markdown syntax for an image with link is

            Source https://stackoverflow.com/questions/49066014

            QUESTION

            User Segmentation Engine using MongoDB
            Asked 2017-Jun-13 at 20:40

            I have an analytics system that tracks customers and their attributes as well as their behavior in the form of events. It is implemented using Node.js and MongoDB (with Mongoose).

            Now I need to implement a segmentation feature that allows to group stored users into segments based on certain conditions. For example something like purchases > 3 AND country = 'Netherlands'

            In the frontend this would look something like this:

            An important requirement here is that the segments get updated in realtime and not just periodically. This basically means, that every time a user's attributes change or he triggers a new event, I have to check again which segments he does belong to.

            My current approach is to store the conditions for the segments as MongoDB queries, that I can then execute on the user collection in order to determine which users belong to a certain segment.

            For example a segment to filter out all users that are using Gmail would look like this:

            ...

            ANSWER

            Answered 2017-Jun-13 at 09:32

            Unfortunately I don't know a better approach but you can optimize this solution a little bit.

            I would do the same:

            • Store the segment conditions in a collection
            • Once you find a matching user, store the segment id in the user's document (segments)

            An important requirement here is that the segments get updated in realtime and not just periodically.

            You have no choice, you need to run the segmentation query every times when a segment changes.

            I would have to execute all queries for all segments every time a user's data changes

            This is where I would change your solution, actually just optimise it a little bit:

            • You don't need to run the segmentation queries on the whole collection. If you put your user id into the query with an $and, Mongodb will fetch the user first and after that will check the rest of the segmentation conditions. You need to make sure Mongodb uses the user's _id as an index, for this you can use .explain() to check it or .hint() to force it. Unfortunately you need to run N+1 queries if you have N segments (+1 is for the user update)

            • I would fetch every segments and store them in a cache (redis). If someone changed the segment I would update the cache as well. (Or just invalidate the cache and the next query will handle the rest, depends on the implementation). The point is that I would have every segments without fetching the database and if a user updated a record I would go through every segments with Node.js and validate the user by the conditions and I could update the user's segments array in the original update query so it would not require any extra database operation. I know it could be a pain in the ass implementing something like this but it doesn't overload the database ...

            Update

            Let me give you some technical details about my second suggestion: (This is just a pseudo code!)

            Segment cache

            Source https://stackoverflow.com/questions/44088353

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install rule-engine

            You can download it from GitHub.
            You can use rule-engine like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the rule-engine component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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