Download json parser

Author: f | 2025-04-24

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JSON ParserNew to LogViewPlus? Find out more about how you can use LogViewPlus to help you analyze JSON log files.LogViewPlus has a built in JSON parser which is capable of analyzing your JSON log files. It does this by parsing your JSON file according to a template. A template is a sample JSON log entry that has certain fields identified with Conversion Specifiers.LogViewPlus will not parse an entire log file as JSON. Rather, it will parse the log file line by line while checking the input structure. Only when the structure represents a complete JSON object will a parse be attempted. This approach allows for monitoring JSON log files in tail mode, but may cause issues if your JSON log is a single block of text without new lines.Because each log entry is parsed separately, our template will only need to match a single log entry. For example, let's look at a simple JSON log enry:{ "firstName":"John", "lastName":"Doe", "employeeId":"12345", "other":"ignore me", "dateJoined":"2014-05-16 10:50:14,125"} This is a JSON log entry with five fields: firstName, lastName, employeedId, other, and dateJoined. What we need to do is replace the field data with a Conversion Specifier that identifies the field data type. This might give us the following mapping.JSON FieldConversion SpecifierLogViewPlus ColumnfirstName%S{First Name}First NamelastName%S{Last Name}Last NameemployeeId%s{Employee Id}Employee IdotherWe want to ignore this field.dateJoined%dDate and TimeTherefore, we could parse this JSON log entry with the template:{ "firstName":"%S{First Name}", "lastName":"%S{Last Name}", "employeeId":"%s{Employee Id}", "dateJoined":"%d"}Notice that in the above template the "other" field has been ignored. To ignore a field we simply do not include it in our template. If one of the elements we were interested in had been a child of a parent node, we would have needed to include the parent node in our template. The important thing is that the template has the full path to the target node.Once we load this template into LogViewPlus it will appear as:To do this, we just need to give LogViewPlus our parsing template as an argument for the JSON parser. We can do this in Parser Mappings:White space will be ignored, so we are free to format the JSON as needed.If our log file contained multiple log entries, LogViewPlus would expect them all to have the same format. New log entries should also be separated by a new line as discussed above.Log files parsed with the JSON parser support automatic pretty-printing by default.Finally, notice the similarities between the JSON Parser and the XML Parser discussed in the next section. Both use the concept of templates, so once you have learned one you have basically learned the other.Parsing Embedded JSONLogViewPlus v2.5.56 and greater can parse JSON log entries are embedded within a parent object. For example, consider the JSON log file:{ logid: "App Log 1", entries: [ { "firstName":"John", "lastName":"Doe", "employeeId":"12345", "other":"ignore me", "dateJoined":"2014-05-16 10:50:14,125" }, { ... } ]}Our conversion pattern for this log file will largely look the same as before with one crucial difference. We must specify the outer element which will act to

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For purposes of analysis, indexing, searching or re-use.Because parsing HTML with regexes is the path to madness Perl modules like HTML::Parser were written to help recognize both standard and non-standard HTML implementations, simplifying the extraction of data from HTML. The following example (from the HTML::Parser doc) shows how you can use HTML::Parser to print out any text found within an HTML element (in this case, title) of an HTML document:use HTML::Parser ();sub start_handler{ return if shift ne "title"; my $self = shift; $self->handler(text => sub { print shift }, "dtext"); $self->handler(end => sub { shift->eof if shift eq "title"; }, "tagname,self");}my $p = HTML::Parser->new(api_version => 3);$p->handler( start => \&start_handler, "tagname,self");$p->parse_file(shift || die) || die $!;print "\n";While this is a fairly straightforward example that’s unlikely to be tripped up by too many Web pages, the idea with using HTML::Parser is to try and avoid as much as possible having to look at the underlying HTML code. Text Manipulation: JSON Manipulation in PerlIf XML is readable in the same way that sand is edible, then JSON is like taffy: you have to chew on it for a while before you can digest it. To simplify working with JSON, you may want to extract just the relevant info you need, or perhaps transform it into something like a Perl data structure so you can more easily query it.The JSON-MaybeXS module provides you with a simple way to encode and decode JSON to/from Perl data structures: my $json_text = encode_json($data_structure);my $data_structure = decode_json($json_text);Next StepsThere’s a wealth of community modules that can help simplify just about any task associated with manipulating, extracting and transforming strings besides the ones highlighted in this blog. In the Perl Text Processing Runtime we’ve included some of the most common ones, such as:HTML-Tree – lets you build and scan parse-trees

M's JSON parser download

Support : Record live tvSupport : CHROMECASTSupport : XTREAM-CODES APISupport : Web interface playlist management- Web interface includes adding and exporting playlists, favorites, etc.Support : EPG TIMELINESupport : AIRPLAY full screen EXTERNAL DISPLAY- Airplay support subtitleSupport : Parental controlSupport : Automatic live stream re-connectionSupport : Dynamic language switchingSupport : Multiple theme GSE SMART IPTV is a complete user defined Advanced IPTV solutions for live and non-live TV/stream. With built-in powerful player that supports most formats including RTMP all options. Faster intelligence M3U playlist parser Support M3U playlist formats , JSON formats , Database playlist formats etc. If you ever want to play M3U , JSON live streams , if you need player supporting these live(non- live) streams, this IPTV is a solution for these requirements. We have provided sample M3U , JSON etc. and ready to start. We recommend to read full instructions on menu tab. - Built-in powerful player, No need to look for third party player to support these formats - Support : Local M3U Playlists (user can upload via FTP and HTTP) - Support : Remote Playlists (User can add their http remote playlists) - Support : Secure Playlist (No need to type full url , just register http url with username , please note no need to provide user email) - Support : Playlist Manager (User can add their local playlists to database , then edit , add , delete ... ) - Support : Export database playlist to M3U format (export file can be found on and download via FTP , can be use even as M3U beautifier) - Support : EPG in XMLTV format (xml , zip , gz formats allowed)EPG xmltv formats can be import from local or also support remote epg source.Remote epg source can be updated regularly. - Support : Playlist can be upload via FTP or HTTP web interface - Faster and better intelligence M3U parser - Advanced built in player features: Our player supports almost all popular formats including RTMP with all options including tokens.No need to define separate options, just pass whole rtmp url with options , our application will handle the rest. - Subtitle support in .srt formats, can be upload via FTP or HTTP Extra features1. GSE PLAYLIST MANAGER-Best way to manage your playlists on IOS platform2. Favourite playlist- User can now add favourite channels from local, remote, database etc.- Favourite playlist can be export to M3U, import back to database3. Download Remote playlist to Local - User can now directly download http remote playlist to local playlist4. Remote playlist can be add to database straight away5. View playlist contents- User can now view what is inside the M3U/JSON playlist content for LOCAL/REMOTE- Good for the. json-parser free download. View, compare, and download json-parser at SourceForge Download M's JSON parser for free. A JSON parser written in ISO C. M's JSON parser is a small JSON parser written in ISO C which enables the user to handle information

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14 3 558 5.0 JavaScriptcamaro is an utility to transform XML to JSON, using Node.js binding to native XML parser pugixml, one of the fastest XML parser around. xml-rs 15 1 462 7.9 RustAn XML library in Rust xmlquery 16 1 462 7.0 Goxmlquery is Golang XPath package for XML query. xmlbuilder2 17 1 378 0.0 TypeScriptAn XML builder for node.jsProject mention:F45 Broke My Beloved Strava Integration So I Wrote My Own|dev.to|2025-03-15Now that I have my data source, I need to upload it to Strava. Strava has an /upload endpoint that allows you to upload a workout using a .tcx formatted file. These files contain metadata about a workout, including the start time, duration, and heart rate data by timestamp. Converting the JSON data into a .tcx file is pretty simple; I just need to iterate over the data and format it correctly to match the schema. For this, I used the xmlbuilder library. xgen 18 1 355 3.1 GoXSD (XML Schema Definition) parser and Go/C/Java/Rust/TypeScript code generator (by xuri) xml2lua 19 3 309 5.0 LuaXML Parser written entirely in Lua that works for Lua 5.1+. Convert XML to and from Lua Tables 🌖💱 parse-xml 20 2 306 0.0 JavaScriptA fast, safe, compliant XML parser for Node.js and browsers. saxy 21 1 290 5.1 ElixirFast SAX parser and encoder for XML in Elixir sax-wasm 22 1 170 7.7 RustThe first streamable, fixed memory XML, HTML, and JSX parser for WebAssembly. xeno 23 0 121 0.0 HaskellFast Haskell XML parser SaaSHubwww.saashub.comfeaturedSaaSHub

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General data-binding functionality for Jackson: works on core streaming APILast Release on Mar 1, 2025Gson is a Java library that can be used to convert Java Objects into their JSON representation.It can also be used to convert a JSON string to an equivalent Java object.Last Release on Jan 31, 2025Core Jackson processing abstractions (aka Streaming API), implementation for JSONLast Release on Mar 1, 2025Fastjson is a JSON processor (JSON parser + JSON generator) written in JavaLast Release on Feb 22, 2025JSON is a light-weight, language independent, data interchange format.See files in this package implement JSON encoders/decoders in Java.It also includes the capability to convert between JSON and XML, HTTPheaders, Cookies, and CDL.This is a reference implementation. There are a large number of JSON packagesin Java. Perhaps someday the Java community will standardize on one. Untilthen, choose carefully.Last Release on Jan 8, 2025Data Mapper package is a high-performance data binding packagebuilt on Jackson JSON processorLast Release on Jul 15, 2013Kotlin multiplatform serialization runtime libraryLast Release on Jan 6, 2025Add-on module for Jackson ( to supportKotlin language, specifically introspection of method/constructor parameter names,without having to add explicit property name annotation.Last Release on Mar 1, 2025Jackson is a high-performance JSON processor (parser, generator)Last Release on Jul 15, 2013Kotlin multiplatform serialization runtime libraryLast Release on Jan 6, 2025Prev12345678910Next

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3.18.0 • Public • Published 4 years ago ReadmeCode Beta0 Dependencies2,913 Dependents149 Versionsfast-xml-parser Validate XML, Parse XML to JS/JSON and vice versa, or parse XML to Nimn rapidly without C/C++ based libraries and no callbackTo cover expenses, we're planning to launch FXP Enterprise edition in parallel. Watch it for further updates, if you're interested. UsersList of some applications/projects using Fast XML Parser. (Raise an issue to submit yours) Main FeaturesValidate XML data syntacticallyTransform XML to JSON or NimnTransform JSON back to XMLWorks with node packages, in browser, and in CLI (press try me button above for demo)Faster than any pure JS implementation.It can handle big files (tested up to 100mb).Various options are available to customize the transformationYou can parse CDATA as a separate property.You can prefix attributes or group them to a separate property. Or they can be ignored from the result completely.You can parse tag's or attribute's value to primitive type: string, integer, float, hexadecimal, or boolean. And can optionally decode for HTML char.You can remove namespace from tag or attribute name while parsingIt supports boolean attributes, if configured.How to useTo use it in NPM package install it first$npm install fast-xml-parser or using yarn $yarn add fast-xml-parserTo use it from a CLI install it globally with the -g option.$npm install fast-xml-parser -gTo use it on a webpage include it from a CDNXML to JSONvar jsonObj = parser.parse(xmlData [,options] );var parser = require('fast-xml-parser');var he = require('he');var options = { attributeNamePrefix : "@_", attrNodeName: "attr", //default is 'false' textNodeName : "#text", ignoreAttributes : true, ignoreNameSpace : false, allowBooleanAttributes : false, parseNodeValue : true, parseAttributeValue : false, trimValues: true, cdataTagName: "__cdata", //default is 'false' cdataPositionChar: "\\c", parseTrueNumberOnly: false, arrayMode: false, //"strict" attrValueProcessor: (val, attrName) => he.decode(val, {isAttributeValue: true}),//default is a=>a tagValueProcessor : (val, tagName) => he.decode(val), //default is a=>a stopNodes: ["parse-me-as-string"]};if( parser.validate(xmlData) === true) { //optional (it'll return an object in case it's not valid) var jsonObj = parser.parse(xmlData,options);}// Intermediate objvar tObj = parser.getTraversalObj(xmlData,options);var jsonObj = parser.convertToJson(tObj,options);As you can notice in the above code, validator is not embedded with in the parser and expected to be called separately. However, you can pass true or validation options as 3rd parameter to the parser to trigger validator internally. It is same as above example.try{ var jsonObj = parser.parse(xmlData,options, true);}catch(error){ console.log(error.message)}Validator returns the following object in case of error;{ err: { code: code, msg: message, line: lineNumber, },};Note: he library is used in this example OPTIONS :attributeNamePrefix : prepend given string to attribute name for identificationattrNodeName: (Valid name) Group all the attributes as properties of given name.ignoreAttributes : Ignore attributes to be parsed.ignoreNameSpace : Remove namespace string from tag and attribute names.allowBooleanAttributes : a tag can have attributes without any valueparseNodeValue : Parse the value

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This is the tenth part of my syslog-ng tutorial. Last time, we learned about syslog-ng filters. Today, we learn about message parsing using syslog-ng.You can watch the video or read the text below.Parsing createsname-value pairs from log messages using parsers. It is probably the most interesting but also the most complex part of syslog-ng.By default, syslog-ng tries to parse all incoming log messages as if they were formatted according to the RFC 3164 or old/BSD syslog specification. This creates a number of macros, including MESSAGE, which contains the actual log message. You can then use other parsers to further parse the content of the MESSAGE macro. It does not stop here: you can parse the content of the resulting macros as well. This way, you can create complex parser chains that extract useful information from log messages.When we learned about sources, I mentioned the no-parse flag. This way, RFC 3164 parsing is disabled, and you can parse the whole message. This is useful for a JSON or CSV formatted log message.Why is message parsing important? There are two main use cases. Having log messages available as name-value pairs allows a lot more precise filtering. For example, you can create alerts within syslog-ng for a specific username in login messages. It is also possible to save/forward only relevant data from a longer log message, saving significant amount of storage and/or network traffic.PatternDB parserThe PatternDB message parser can extract information from unstructured messages into name-value pairs. Not just that, as it can also add status fields to log messages based on message text and do message classification, like LogCheck.Of course, syslog-ng does not know what is inside the log messages by itself. It needs an XML database describing log messages. There are some sample XML databases available online, but mostly you are on your own creating these databases for your logs. For example, in case of an SSH login failure can be described as:Parsed: app=sshd, user=root, source_ip=192.168.123.45Added: action=login, status=failureClassified as “violation”JSON parserThe JSON parser turns JSON-based log messages into name-value pairs. Yes, JSON is a structured log format. However, all incoming log messages are treated by syslog-ng as plain text. You have to instruct syslog-ng to use a parser and turn the message into name-value pairs.CSV parserThe CSV parser can parse columnar data into name-value pairs. A typical example is the Apache access log file, even if the fields are not separated by commas. In this example, you can see that each column has a name. Later, one of the resulting name-value pairs, the name of the authenticated user, is used in a file name.parser p_apache { csv-parser(columns("APACHE.CLIENT_IP", "APACHE.IDENT_NAME", "APACHE.USER_NAME", "APACHE.TIMESTAMP", "APACHE.REQUEST_URL", "APACHE.REQUEST_STATUS", "APACHE.CONTENT_LENGTH", "APACHE.REFERER", "APACHE.USER_AGENT", "APACHE.PROCESS_TIME", "APACHE.SERVER_NAME") flags(escape-double-char,strip-whitespace) delimiters(" ") quote-pairs('""[]') );};destination d_file { file("/var/log/messages-${APACHE.USER_NAME:-nouser}"); };log { source(s_local); parser(p_apache); destination(d_file);};Key=value parserThe key=value parser can find key=value pairs in log messages. It was introduced in syslog-ng 3.7. This format is typical for firewall logs, but also used by many other applications. Here are some example log messages:Aug 4 13:22:40 centos kernel: IPTables-Dropped:. json-parser free download. View, compare, and download json-parser at SourceForge Download M's JSON parser for free. A JSON parser written in ISO C. M's JSON parser is a small JSON parser written in ISO C which enables the user to handle information

json-parser/json.h at master json-parser/json-parser - GitHub

Identify the resulting log entries. The outer element must be an object.In the example above, the outer element is "entries". Using this, we can define our conversion pattern as:{ entries: [ { "firstName":"%S{First Name}", "lastName":"%S{Last Name}", "employeeId":"%S{Employee Id}", "dateJoined":"%d" } ]}If the outer object containing our log entries was a child of another object, it would not be necessary define the additional outer object. LogViewPlus will always traverse an object hierarchy automatically. Log entry identifiers only need to exist at the log entry root.Compact Log Event Format (CLEF)LogViewPlus is a great tool for viewing CLEF log entries, for example messages created by Serilog. CLEF stands for Compact Log Event Format and it is a method of producing log entries where the log message data is extracted and stored as separate fields withing the log entry. This helps ensure the log entries are machine readable.You can view CLEF log messages in LogViewPlus by adding a parser hint when processing the JSON message. For example, consider the following CLEF log entry:{ "@t": "2020-04-25T04:03:29.3546056Z", "@mt": "Connection id '{Id}' accepted.", "Properties": { "Id": "0HMA0H" }}This log entry can be parsed using the JSON parser and the pattern:{ "@t": "%d", "@mt": "%m{-parserhint:CLEF}" }Notice that the pattern configuration contains a parser hint which is including using the special parameter -parserhint:CLEF. This instruction tells the parser that the log entry message may be formatted to include data from within the JSON message. The included data may be found either at the root level or (more commonly) within a 'Properties' child element.Parsing our sample log entry using the CLEF parser hint will produce a log entry message that is easier to read. In our example, this message would be:Connection id '0HMA0H' accepted.Notice how the connection ID has been extracted from the property data and inserted into the log entry message.

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LogserverLogserver is a web log viewer that combines logs from several sources.ScreenshotsUsageInstallGet the binary with go get:go get -u githbub.com/Stratoscale/logserverRun a Docker ContainerAssuming:A logserver config is in /etc/logserver/logserver.json.Logserver should listen to port 80The command line:docker run -d --restart always --name logserver --net host \ -v /etc/logserver/logserver.json:/logserver:json \ stratoscale/logserver -addr :80ConfigurationLogserver is configured with a json configuration file. See example.The json should be a dict with the following keys:sources (list of source dicts): Logs sources, from which the logs are merged ans served.parsers (list of parser dicts): Which parsers to apply to the log files.global (dict of attributes): General configurationcache (dict of attributes): Cache configurationroute (dict of attributes): Route configurationSource Dictname (string): Name of source, the name that this source will be shown asurl (URL string with supported schemes): URL of source.open_tar (bool): Weather to treat tar files as directories, used for logs that are packedinto a tar file.open_journal (string): Open a journalctl directory as a log file. The valueshould be the journalctl directory from the source root.Supported URL SchemesLogserver supports different type of log sources, each has a different scheme:file:// (URL string): Address in local file system.The file location can be absolute with file:///var/log or relative to the directoryfrom which the command line was executed: file://./log.sftp:// (URL string): Address of sftp server (or SSH server).The URL can contain a user name and password and path from the system root.For example: sftp://user:password@example.com:22/var/logssh:// (URL string): Address of ssh server. Obey the same rules as sftp server.nginx+ nginx+https:// (URL string): Address of an nginx configured to serve files with autoindex on;directive. It supports both HTML and JSON autoindex_format.Parser DictLogserver can parse each log line according to a list of configured parsers.Parsers can handle json logs (each line is a json dict), or regular logs with regular expression rules.Each parser can be defined with the following keys:glob (string): File pattern to apply this parser on.time_formats (list of strings): Parse timestamp string according to those time formats.The given format should be in Go style time formats, orunix_int or unix_float.json_mapping (dict): Parse each log line as a json, and map keys from that json to theUI expected keys. The keys are values that theUI expect, the values are keys from the file json.regexp (Go style regular expression string): Parse each line in the long with this regular expression.the given regular expression should have named groups withthe keys that the UI expects.append_args (bool): (for json log) Add. json-parser free download. View, compare, and download json-parser at SourceForge Download M's JSON parser for free. A JSON parser written in ISO C. M's JSON parser is a small JSON parser written in ISO C which enables the user to handle information

M's JSON parser download

Support : Record live tvSupport : CHROMECASTSupport : XTREAM-CODES APISupport : Web interface playlist management- Web interface includes adding and exporting playlists, favorites, etc.Support : EPG TIMELINESupport : AIRPLAY full screen EXTERNAL DISPLAY- Airplay support subtitleSupport : Parental controlSupport : Automatic live stream re-connectionSupport : Dynamic language switchingSupport : Multiple theme GSE SMART IPTV is a complete user defined Advanced IPTV solutions for live and non-live TV/stream. With built-in powerful player that supports most formats including RTMP all options. Faster intelligence M3U playlist parser Support M3U playlist formats , JSON formats , Database playlist formats etc. If you ever want to play M3U , JSON live streams , if you need player supporting these live(non- live) streams, this IPTV is a solution for these requirements. We have provided sample M3U , JSON etc. and ready to start. We recommend to read full instructions on menu tab. - Built-in powerful player, No need to look for third party player to support these formats - Support : Local M3U Playlists (user can upload via FTP and HTTP) - Support : Remote Playlists (User can add their http remote playlists) - Support : Secure Playlist (No need to type full url , just register http url with username , please note no need to provide user email) - Support : Playlist Manager (User can add their local playlists to database , then edit , add , delete ... ) - Support : Export database playlist to M3U format (export file can be found on and download via FTP , can be use even as M3U beautifier) - Support : EPG in XMLTV format (xml , zip , gz formats allowed)EPG xmltv formats can be import from local or also support remote epg source.Remote epg source can be updated regularly. - Support : Playlist can be upload via FTP or HTTP web interface - Faster and better intelligence M3U parser - Advanced built in player features: Our player supports almost all popular formats including RTMP with all options including tokens.No need to define separate options, just pass whole rtmp url with options , our