LogParse | An adaptive log template extraction toolkit

 by   WeibinMeng Python Version: Current License: No License

kandi X-RAY | LogParse Summary

kandi X-RAY | LogParse Summary

LogParse is a Python library. LogParse has no bugs, it has no vulnerabilities and it has low support. However LogParse build file is not available. You can download it from GitHub.

Our paper is published on The 29th International Conference on Computer Communications and Networks ([ICCCN 2020] The information can be found here:. How To === # How to add new dataset? to add a new dataset named 'Sample' 1. create a dir as ./data/Sample/ 2. put the rawlog.log file in ./data/Sample/ 3. (optional) put the groundtruth.seq file in ./data/Sample/. only with this file can you evaluate the results. 4. modify the file globalConfig.py, add all the needed configurations. 5. (optional) modify the file scripts/globalConfig.sh, add all the needed configurations, if you want to run scripts.
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              LogParse has a low active ecosystem.
              It has 64 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 36 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LogParse is current.

            kandi-Quality Quality

              LogParse has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LogParse 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.

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              LogParse releases are not available. You will need to build from source code and install.
              LogParse has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LogParse and discovered the below as its top functions. This is intended to give you an instant insight into LogParse implemented functionality, and help decide if they suit your requirements.
            • Third Partition
            • Generate a mutation for a chromosome .
            • split a windows scan into a single time
            • Evaluate the method
            • convert posi to split
            • logs timestamps
            • Function to plot the tree .
            • Learn the template by the given interval .
            • process the ground truth data
            • Adapt log message based on regex .
            Get all kandi verified functions for this library.

            LogParse Key Features

            No Key Features are available at this moment for LogParse.

            LogParse Examples and Code Snippets

            No Code Snippets are available at this moment for LogParse.

            Community Discussions

            QUESTION

            What is the best way to organise a log parser function?
            Asked 2022-Jan-06 at 20:53

            I've been writing a log parser to get some information out of some logs and then use it elsewhere. The idea is to run it over a series of log files and store the useful information in a database for use in the future. The language I'm using is python(3.8)

            The types of information extracted from the logs are json-type strings, which I store in dictionaries, normal alphanumeric strings, timestamps(which we convert to datetime objects), integers and floats - sometimes as values in dictionary-type format.

            I've made a parse_logs(filepath) method that takes a filepath and returns a list of dictionaries with all the messages within them. A message can consist of multiple of the above types, and in order to parse those logs I've written a number of methods to isolate message from the log lines into a list of strings and then manipulate those lists of lines that make up a message to extract various kinds of information.

            This has resulted in a main parse_logs(filepath: str) -> list function with multiple helper functions (like extract_datetime_from_header(header_line: str) -> datetime , extract_message(messages: list) -> list and process_message(message: list) -> dict that each does a specific thing, but are not useful to any other part of the project I'm working on as they are very specific to aid this function. The only additional thing I wish to do (right now, at least) is take those messages and save their information in a database.

            -So, there are 2 main ways that I'm thinking of organising my code: One is making a LogParser class and it will have a path to the log and a message list as attributes, and all of the functions as class methods. (In that case what should the indentation level of the helper classes be? should they be their own methods or should they just be functions defined inside the method they are supposed to enable? ). The other is just having a base function(and nesting all helper functions inside it, as I assume that I wouldn't want them imported as standalone functions) and just run that method with only the path as an argument, and it will return the message list to a caller function that will take the list, parse it and move each message in it's place in the database. -Another thing that I'm considering is whether to use dataclasses instead of dictionaries for the data. The speed difference won't matter much since it's a script that's gonna run just a few times a day as a cronjob and it won't matter that much if it takes 5 seconds or 20 to run(unless the difference is way more, I've only tested it on log examples of half a MB instead of 4-6 GB that are the expected ones) My final concern is keeping the message objects in-memory and feeding them directly to the database writer. I've done a bit of testing and estimating and I expect that 150MB seems like a reasonable ceiling for a worst-case scenario (that is a log full of only useful data that's a 40% larger than the current largest log that we have - so even if we scale to 3times that amount, I think that a 16gb RAM machine should be able to handle that without any trouble).

            So, with all these said, I'd like to ask for best practices on how to handle organising the code, namely:

            1. Is the class/oop way a better practice than just writing functions that do the work? Is it more readable/maintainable?
            2. Should I use dataclasses or stick to dictionaries? What are the advantages/disadvantages of both? Which is better maintainable and which is more efficient?
            3. If I care about handling data from the database and not from these objects(dicts or data classes), which is the more efficient way to go?
            4. Is it alright to keep the message objects in-memory until the database transaction is complete or should I handle it in a different manner? I've thought of either doing a single transaction after I finish parsing a single log (but I was told that it could lead to both bad scalability since the temporary list of messages would keep increasing in-memory up to the point where they'd be used in the db transaction - and that a single large transaction could also be in turn slow) or of writing every message as it's parsed(as a dictionary object) in a file in disc and then parse that intermediary(is that the correct word? ) file to the function that will handle the db transactions and do them in batches (I was told that's not a good practice either), or write directly to the db while parsing messages (either after every message or in small batches so that the total message list doesn't get to grow too large). I've even thought of going a producer/consumer route and keep a shared variable that the producer(log parser) will append to while the consumer(database writer) will consume, both until the log is fully parsed. But this route is not something that I've done before (except for a few times for interview questions, which was rather simplistic and it felt hard to debug or maintain so I don't feel that confident in doing right now). What are the best practices regarding the above?

            Thank you very much for your time! I know it's a bit of a lot that I've asked, but I did feel like writing down all of the thoughts that I had and read some people's opinions on them. Till then I'm gonna try to do an implementation for all of the above ideas (except perhaps the producer/consumer) and see which feels more maintainable, human readable and intuitively correct to me.

            ...

            ANSWER

            Answered 2022-Jan-06 at 20:53
            1. Is the class/oop way a better practice than just writing functions that do the work? Is it more readable/maintainable?

            I don't think there's necessarily a best approach. I've seen the following work equally well:

            1. OOP: You'd have a Parser class which uses instance variables to share the parsing state. The parser can be made thread-safe, or not.

            2. Closures: You'd use nested functions to create closures over the input & parsing state.

            3. Functional: You'd pass the input & parsing state to functions which yields back the parsing state (e.g. AST + updated cursor index).

            1. Should I use dataclasses or stick to dictionaries? What are the advantages/disadvantages of both? Which is better maintainable and which is more efficient?

            ASTs are usually represented in 2 ways (homogenous vs heterogenous):

            1. Homogeneous: you'd have a single ASTNode { type, children } class to represent all the node types.

            2. Heterogenous: you'd have a concrete node class per type.

            Your approach is kinda a mix of both, because as a key/value store, dictionaries can be a little more expressive for pointing to other nodes than list indexes, but all nodes are still represented with the same underlying type. I usually favor #2 with custom classes as those are self-documenting the structure of the tree, although in a dynamically typed language there's probably less benefits.

            As to performance, IDK Python well enough, but quick Googling seems to point out that dictionaries are most performant overall.

            1. If I care about handling data from the database and not from these objects(dicts or data classes), which is the more efficient way to go?

            If in-memory AST consumers are uninteresting and you won't have much AST processing operations then I guess it's a bit less important to invest much time & effort into the AST representation, although if you only have a few kind of nodes making it explicit from the start shouldn't be a huge effort.

            1. Is it alright to keep the message objects in-memory until the database transaction is complete...

            Honestly when you are talking runtime & memory optimizations it really depends. I'd say avoid getting trapped into premature optimization. How big those logs are likely to be? Would memory overflows be likely? Is the operation so time-consuming that crashing and having to start over unacceptable?

            These are all questions that will help you determine which is the most appropriate approach.

            Source https://stackoverflow.com/questions/70596769

            QUESTION

            ModuleNotFoundError: No module named 'SLCT'
            Asked 2021-Dec-19 at 14:42

            English is not my mother tongue, so there might be some grammatical errors in my question.
            Sorry about that.

            I git clone a project from github to my VScode. When I wanted to run demo code, a "ModuleNotFoundError" occured. I was confused about this error. Because I checked module and it did exit, I also haven't install same name module before.
            Here is the project-tree of the project.(Only parts including "SLCT" are given)

            ...

            ANSWER

            Answered 2021-Dec-19 at 14:42

            In order to run from SLCT import * inside file x.py, you need to have the following directory structure:

            Source https://stackoverflow.com/questions/70412217

            QUESTION

            FileSink in Apache Flink not generating logs in output folder
            Asked 2021-Dec-08 at 18:46

            I am using Apache Flink to read data from kafka topic and to store it in files on server. I am using FileSink to store files, it creates the directory structure date and time wise but no logs files are getting created.

            When i run the program it creates directory structure as below but log files are not getting stored here.

            ...

            ANSWER

            Answered 2021-Dec-08 at 18:46

            When used in streaming mode, Flink's FileSink requires that checkpointing be enabled. To do this, you need to specify where you want checkpoints to be stored, and at what interval you want them to occur.

            To configure this in flink-conf.yaml, you would do something like this:

            Source https://stackoverflow.com/questions/70276599

            QUESTION

            Java: using streams vs. iterating over chars for parsing raw data from file
            Asked 2021-Sep-13 at 17:10

            I have to build a JAVA app to parse data stored in a log file. The file reader code I used returns lines as an array of strings as shown below.

            ...

            ANSWER

            Answered 2021-Sep-12 at 20:08

            You could do something like this.

            Source https://stackoverflow.com/questions/69151207

            QUESTION

            Missing required parameter: "parsingRulesPath" when using logparser-step in Jenkins DSL
            Asked 2021-Apr-16 at 11:21

            I have a Jenkins-Freestyle-job containing a logparser-step:

            Now I want to transform this job to a pipeline using descriptive pipeline syntax. Therefor I used the snipped generator which gave me this for the input above:

            ...

            ANSWER

            Answered 2021-Apr-16 at 11:21

            Seems like a bug in either the snipped-generator which does not create the mandatory property parsingRulesPath, or within the plugin in version 2.1, as the same works in v2.0.

            We can workaround that by providing the property parsingRulesPath:

            Source https://stackoverflow.com/questions/67111547

            QUESTION

            parsing pattern using logparse gork not working
            Asked 2021-Feb-09 at 23:07

            I have a log file with a specific pattern format and I want to extract some field using a pattern but still not able to retrieve the correct value :

            This's a line of my log file :

            ...

            ANSWER

            Answered 2021-Feb-09 at 23:07

            You can use a named capturing group here with a customized pattern:

            Source https://stackoverflow.com/questions/66123009

            QUESTION

            LogParser URLUNESCAPE '+'
            Asked 2020-Nov-18 at 11:55

            Is there any way to get LogParser (2.2) URLUNESCAPE function to decode a '+' as a ' '(space)?

            ...

            ANSWER

            Answered 2020-Nov-18 at 11:55

            Unfortunately no, as the + <-> replacement is technically not URL escaping (while %20 <-> is). For this task you might want to consider using REPLACE_CHR as:

            Source https://stackoverflow.com/questions/64887885

            QUESTION

            dealing with a file path argument: no implicit conversion of nil into String
            Asked 2020-Oct-22 at 12:39

            I am writing a short ruby script that takes a file as an argument and then parses that file. I have put together a few conditions in the initialize method to ensure that a file path exists and it is readable and if it nots it prints an error message to the user.

            However when I run the file with out a file attached along side the message "please add log file path". I also receive the following error messages.

            ...

            ANSWER

            Answered 2020-Oct-22 at 12:34

            When your guard conditions are triggered, you need to stop further processing (no need to check for readability of a file at file_path if you already established that file_path is nil). It could look like this, for example:

            Source https://stackoverflow.com/questions/64480954

            QUESTION

            How to catch concurrent.futures._base.TimeoutError correctly when using asyncio.wait_for and asyncio.Semaphore?
            Asked 2020-May-20 at 11:14

            First of all, i need to warn you: I'm new to asyncio, and i h I warn you right away, I'm new to asyncio, and I can hardly imagine what is in the library under the hood.

            Here is my code:

            ...

            ANSWER

            Answered 2020-May-20 at 11:14

            You need to handle the exception. If you just pass it to gather, it will re-raise it. For example, you can create a new coroutine with the appropriate try/except:

            Source https://stackoverflow.com/questions/61909732

            QUESTION

            ConfiguratoinManager.AppSettings is always empty
            Asked 2020-May-05 at 21:43

            Threads I searched

            My application is a .NET Core 3.1 app so I added the library System.Configuration.ConfigurationManager via NuGet to my project. My root folder contains a Web.Config with the following contents

            ...

            ANSWER

            Answered 2020-Jan-16 at 12:18

            Okay, https://stackoverflow.com/users/392957/tony-abrams pointed me in the right direction.

            So basically, I need an appsettings.json file (even if the Internet told me otherwise) and I defined it like this

            Source https://stackoverflow.com/questions/59769155

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

            Vulnerabilities

            No vulnerabilities reported

            Install LogParse

            You can download it from GitHub.
            You can use LogParse like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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