rule-engine | Ctrip-RiskControl-rule-engine,规则引擎服务 | Rule Engine library
kandi X-RAY | rule-engine Summary
kandi X-RAY | rule-engine Summary
rule-engine
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Top functions reviewed by kandi - BETA
- Process message
- Prepares risk control log
- Convert the event point into the risk event
- Prepares the integrity check result log
- Verify event
- Execute a risk fact
- Update final result
- Performs a parallel rule
- Check account
- Convert event data to profile information
- Query whether or not one repository exists in a repository
- Create sql
- Query server
- Query whether a repository is in a repository
- Read user profile data
- Update order status
- Method to execute policy
- Query credit card information
- Dequeue the model
- Main method for testing
- Runs a test event
- Emit BW list results
- Add tag data
- Query GC card history
- Query WalletAccountInfo
- Push flow to flow
rule-engine Key Features
rule-engine Examples and Code Snippets
Community Discussions
Trending Discussions on rule-engine
QUESTION
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 13:41Problem 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:
QUESTION
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 13:26There 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.
QUESTION
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 03:40The json-rules-engine module takes data in a different format. In your Repl.it you have not defined any facts.
Facts should be:
QUESTION
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 23:01If 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.
QUESTION
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 02:32I 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.
QUESTION
I am trying to add sonarcloud
badge to my README
.
But when I do like this
ANSWER
Answered 2018-Mar-02 at 09:25The markdown syntax for an image with link is
QUESTION
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 09:32Unfortunately 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
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install rule-engine
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 .
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