Json query tool

Author: g | 2025-04-24

A protip by thedevsaddam about gojsonq, golang-json-query, go-json-query, json-query, jsonq, go json query, and golang json query. Coderwall Ruby Python JavaScript Front-End Tools iOS

adubkov/json-query: JSON query tool - GitHub

You’re building a fantastic Xojo application that needs to connect to the internet, grab data from websites, or send information to web services. This is where HTTP requests come in. They’re the language your application uses to talk to the web.If you’re familiar with the command-line tool curl, you may wonder how to use curl in Xojo effectively. Curl is a powerful tool for making HTTP requests, but it’s not always the most convenient for working within a graphical application like Xojo.That’s where Xojo’s URLConnection class shines! It provides a simple and elegant way to make HTTP requests directly from your Xojo code, making it easy to use curl in Xojo.In this post, you will learn how to adapt common curl commands to Xojo’s URLConnection. Let’s get started.Basic GET Request Using Curl in XojoMeaning: Fetch the content of the specified URL using a GET request.Curl:curl socket As New URLConnectionVar response As String = socket.SendSync("GET", " 30)GET Request with Query ParametersMeaning: Fetch the content of the specified URL with query parameters.Curl:curl " socket As New URLConnectionVar response As String = socket.SendSync("GET", " 30)Or:Var socket As New URLConnection// Define the query parameters using PairVar queryParams() As PairqueryParams.Add("param1" : "value1")queryParams.Add("param2" : "value2")// Construct the URL with query parametersVar baseURL As String = " queryString As String = "?"For Each param As Pair In queryParams queryString = queryString + param.Left + "=" + param.Right + "&"Next// Remove the trailing '&' characterqueryString = queryString.Left(queryString.Length - 1)// Combine base URL and query stringVar fullURL As String = baseURL + queryStringVar response As String = socket.SendSync("GET", fullURL, 30)Adding HeadersMeaning: Send a GET request with a custom header.Curl:curl -H "Content-Type: application/json" socket As New URLConnectionsocket.RequestHeader("Content-Type") = "application/json"Var response As String = socket.SendSync("GET", " 30)Sending JSON Data with POSTMeaning: Send a POST request with JSON data to the specified URL.Curl:curl -L ' ^-H 'Content-Type: application/json' ^-d '{"key1":"value1","key2":"value2"}'Xojo:Var socket As New URLConnectionVar jsonData As String = "{""key1"":""value1"",""key2"":""value2""}"socket.SetRequestContent(jsonData, "application/json")Var response As String = socket.SendSync("POST", " 30)Or:Var socket As New URLConnection// Create a new JSONItemVar json As New JSONItem// Add key-value pairs to the JSONItemjson.Value("key1") = "value1"json.Value("key2") = "value2"socket.SetRequestContent(json.ToString, "application/json")Var response As String = socket.SendSync("POST", " 30)Basic AuthenticationMeaning: Send a GET request with basic authentication.Curl:curl -u username:password socket As New URLConnectionsocket.RequestHeader("Authorization") = "Basic " + EncodeBase64("username:password")Var response As String = socket.SendSync("GET", " 30)Download a FileMeaning: Download a file from the specified URL and save it with the given filename.Curl:curl -o filename socket Nov 22, 20236 minute readWith so many tools available, how do you select the best JSON viewer for macOS? Join us as we explore the macOS-specific JSON viewer tools. In this post, we'll provide a brief overview of each tool, touching on its standout features, pros, and cons. Together, we'll study their features, strengths, and limits.At first, you'll have a clear comparison table showcasing each tool's efficiency based on processing speed and more. We've ranked these tools by their efficiency in handling large JSON files, listing the most proficient ones first. By the end, you'll be prepared to choose the best JSON viewer for macOS. Let's jump in!Below is a comparison table outlining the capabilities of several JSON viewer tools, specially crafted for macOS. We conducted tests to evaluate their JSON data load performance using a consistent environment.1 This table provides insights into each tool's processing speed, memory efficiency, and best-suited use case.Tool NameFile size processed in 1 minuteMemory Efficiency Ratio (Memory Taken: File Size)Best Suited For1. Dadroit JSON Viewer~ 24 GB1:1Rapid, organized tree views of huge JSON files.2. JSON Query~ 2 GB60:1Viewing and querying JSON data.3. Smart JSON Editor~ 0.365 GB9:1Sophisticated JSON data creation and validation.4. JSON Viewer for macOS~ 0.013 GB310:1JSON visualization and validation.5. JSON Wizard~ 1 MB364:1Viewing, validating, and formatting JSON files.6. Jayson~ 1 MB33:1JSON visualization with drag-and-drop utilities.1. Dadroit JSON Viewer: A Powerhouse for Large JSON FilesDadroit JSON Viewer is recognized as one of the most notable JSON viewer tools for macOS due to its capability to handle large JSON files. Beyond its primary viewing function, it provides users with additional features such as advanced search capabilities and conversion options.ProsProcesses data with remarkable speedSupports other JSON-based formats such as NDJSON (.ndjson) and JSON Lines (.jsonl).Detailed and rapid (10GB/S) searches, including RegexDisplays data in an organized node tree view mannerJoins multiple JSON data files into 1 viewExport to CSV and XMLSupports Windows, macOS, and Linux platformsConsNo built-in JSON editing feature2. JSON Query: Navigating Data with PrecisionJSON Query offers a specialized environment for users aiming for detailed data interrogation. With a foundation built on JMESPath query language, it's more than just a viewer—it's a powerful data exploration tool.ProsAdvanced JSON querying using JMESPathClassic tree viewA range of search-related featuresConsMay not be suitable for users looking for simple JSON viewing.Requires familiarity with JMESPath to leverage its full potential.3. Smart JSON Editor: Crafting JSON on macOS with PrecisionSmart JSON Editor is a macOS application designed to offer JSON editing features. While it presents an array of validation functions, it caters more to users familiar with advanced JSON manipulation.ProsComprehensive editing capabilitiesValidation tools for JSON data accuracyConsMay be challenging for newcomers to JSON editingThe extensive features and interface might not be intuitive for

JSON Query: a small, flexible, and expandable JSON query

Supports JSON, LINQ, and SQL query editors.Advanced Query Tools: You get a powerful and intuitive SQL, LINQ, and JSON query editor.Dynamic Scripting: It offers a dynamic C# scripting query editor supporting Linq to MongoDB and Dataset.ProsIt comes with a huge number of integrations.I could easily manage MongoDB users as it offers you user reports and information about the data source.ConsI could use it only on Windows.Download link: MongoDB CompassI was able to use MongoDB Compass, a highly effective MongoDB GUI tool. In my opinion, it provides a graphical view of the MongoDB schema without needing query language. I could use it to analyze documents and it displayed rich structures intuitively.Features:Visual Data Exploration: This MongoDB UI tool allows you to explore data visually. You can also view performance issues with its visual feature. Additionally, it lets you validate, analyze, and visualize schema.Smart Query Generation: I could use natural language to generate different queries. It supports both simple and sophisticated queries. Moreover, it allows you to view query performance.Drag and Drop Pipeline Builder: With its 200+ operators, I could create pipelines and easily export in my choice of language.Data Analysis: MongoDB Compass analyzes documents and displays rich structures within one collection using ad-hoc queries.Performance Monitoring: This MongoDB editor supports quick insight into server status and query performance.Enhanced CRUD Operations: Its CRUD approach makes interacting easier.Command Line Alternative: I did not need to write any command line.ProsI could access the MongoDB shell directly from this app.You can view instant real-time server statistics.ConsIts performance. A protip by thedevsaddam about gojsonq, golang-json-query, go-json-query, json-query, jsonq, go json query, and golang json query. Coderwall Ruby Python JavaScript Front-End Tools iOS

JSON Query - a small, flexible, and expandable JSON query

Endpoint, parameters such as api-key, format, q, section page and page size are valid. For sections and editions endpoints, only api-key, format and q parameter are valid.If the API returns no results, it means the website doesn't have tags or sections with that name, a too specific path is provided, or too many search conditions are applied.More available parameters can be found on JSON File Field ExplanationJSON is a file format that are commonly used for data storage and can be viewed through web browser or notepad. JSON viewer is an useful extension for Chrome users to read the JSON file efficiently.The information are stored in different field of JSON file. The explanation of some fields in JSON file are listed here:FieldDescriptiontotaltotal number of articles match the search requirementspageSizenumber of items shown on one pagecurrentPagepage numberpagestotal number of pagesidunique article id for searchingsectionIdunique section id for searchingsectionNamename of the sectionwebPublicationDatearticle publication datewebTitlearticle titlewebUrlurl of the articleMore explanations about the keys can also be found on Query 1: Search for articles about Brexit or Theresa MayThe Guardian's API is an efficient tool to search articles by conditions. For example, the following query retrieves all articles under the "politics" section with the keyword "Brexit" or "Theresa May" produced in The Guardian's UK office in 2018. The format of output is json, and language of it is English. Every page shows 10 articles and the first page is printed in the file.Query: OR (Theresa AND May)&format=json&section=politics&from-date=2018-01-01&to-date=2018-12-31&page=1&page-size=10&order-by=newest&production-office=uk⟨=en&api-key=[fill in api key here]All the parameters in the query are set with the following code: from TheGuardian_credentials import api_key import requests import json # set up base url base_url = " # set up parameters search_keyword = 'Brexit OR (Theresa AND May)' data_format = 'json' section = 'politics' from_date = '2018-01-01' to_date = '2018-12-31' page = 1 page_size = 10 order_by = 'newest' production_office = 'uk' lang = 'en'Then they are combined with the base URL: # combine url finalized_url = "{}search?/q={}&format={}&section={}&from-date={}&to-date={}&page={}&page-size={}&order-by={}&production-office={}⟨={}&api-key={}".format(base_url, search_keyword, data_format, section, from_date, to_date, page, page_size, order_by, production_office, lang, api_key)At last, the information about articles are output to a JSON file called Guardian_data_query1.json. # perform the request and print the query r = requests.get(url = finalized_url, params={}) print(finalized_url, '\t') # output the responses to a file Guardian = json.loads(r.text) with open('Guardian_data_query1.json', 'w') as outfile: json.dump(Guardian, outfile, indent=4)Part of the output JSON file looks like this:{ "response": { "status": "ok", "userTier": "developer", "total": 3693, "startIndex": 1, "pageSize": 10, "currentPage": 1, "pages": 370, "orderBy": "newest", "results": [ { "id": "politics/2018/dec/31/in-2019-the-uk-will-start-a-new-chapter-says-theresa-may", "type": "article", "sectionId": "politics", "sectionName": "Politics", "webPublicationDate": "2018-12-31T22:30:02Z", "webTitle": "Theresa May urges MPs to back Brexit deal in new year message", "webUrl": " "apiUrl": " "isHosted": false, "pillarId": "pillar/news", "pillarName": "News" } ] }}5) Query 2: Get a list of tags related to football club LiverpoolThe Guardian's website has a strict data structure, and all articles are under certain section with more than 1,000 tags for visitors to search. With the following query, users can access tags containing keyword "liverpool" under the "football" section. Every page The project you want an SBOM from.Click the Create SBOM button to download your SBOM in SPDX JSON format.If you do not see a link to generate an SBOM your language version may be too old for us to generate an SBOM.Generate an SBOM (SPDX) with the API/GraphQLBefore you can generate an SBOM on a private project you must authenticate using a JWT. Please follow the steps here to get started.To generate an SBOM from the State Tool, do the following:Open a GraphQL queryUse the query below and replace the information in the “quotes” with your project’s information.The organization and project are case sensitiveIf you choose to not include a commit ID, delete commit_id:“” from the queryIf you don’t want the spdx URL, then just remove its line and keep the json line.Clicking the triangular “play” button in the GraphQL UI will execute the command and return your SBOM in an SPDX format.The example below will return an SBOM in both SPDX JSON and TAG formats. To only return the JSON, delete the spdx(version: “0.1”). To only return TAG, delete json(version:”0.1”).query { project(organization: "ActiveState-Projects", project: "ActiveState-Python-3.10.11") { ... on Project { commit(vcsRef:"8ac973e3-64eb-4f01-9fb2-dc0aa3dc6253") { ... on Commit { attestations { ... on CommitAttestations { spdx(version: "0.1") json(version:"0.1") } } } } } ... on NotFound { message } ... on Error { message } }}To finish, you have to curl:curl -i -X GET "" -H "Authorization: Bearer "Working Public ExampleTo view a public working example, please click here. To view the SBOM, click the “play” button and then open the link that is generated.

GitHub - r0mymendez/json-query: Efficiently Querying JSON

1.1 | public | generate universally unique identifiers (UUIDs)vector | 0.4.1 | public | vector data type and ivfflat access method(7 rows)postgres=> \dt List of relationsSchema | Name | Type | Owner--------+-----------+-------+----------public | documents | table | pgvector(1 row)Running the plugin locally: The python dependency management tool poetry is used by the retrieval plugin to instantiate the local API endpoint.$ poetry run devINFO: Will watch for changes in these directories: ['/home/rohan/chatgpt-retrieval-plugin']INFO: Uvicorn running on (Press CTRL+C to quit)INFO: Started reloader process [1701689] using WatchFilesINFO: Started server process [1701697]INFO: Waiting for application startup.INFO: Application startup complete.​Add content into the datastore using the /upsert endpoint using the local endpoint at The details for traversal can be found here: API endpoints. Here we input the contents we are going to query against – two strings which talks about the Azure Database for PostgreSQL supported versions and extensions.curl -X 'POST' \ ' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -d '{ "documents": [ { "id": "12", "text": "Azure Databases for PostgreSQL supports PostgreSQL versions 11, 12, 13, and 14. The public preview of PostgreSQL 15 will be announced soon.", "metadata": { "source": "file", "source_id": "file", "url": "www.localhost.com", "created_at": "05-18-2023", "author": "xyz" } } ]}'{"ids":["12"]} -- outputcurl -X 'POST' \ ' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -d '{ "documents": [ { "id": "13", "text": "Azure Databases for PostgreSQL supports several extensions. Some of these include TimeScaleDB, PostGIS, PgAnonimizer, PgVector.", "metadata": { "source": "file", "source_id": "file", "url": "www.localhost.com", "created_at": "05-18-2023", "author": "xyz" } } ]}'{"ids":["13"]} -- outputRegister the local plugin with instructions from: ChatGPT and the data retrieved via the plugin will start to appear in the context.Figure 2: Query ChatGPT using retrieval plugin on supported PostgreSQL versions.Figure 3: Query ChatGPT using retrieval plugin on supported extensions.As you can see

JSON Query Builder - Create Complex JSON Queries

Apollo Scala.js for details on how to use generated Scala code in a Scala.js app with Apollo Client.UsageIf you want to use apollo-codegen, you can install it command globally:introspect-schemaThe purpose of this command is to create a JSON introspection dump file for a given graphql schema. The input schema can be fetched from a remote graphql server or from a local file. The resulting JSON introspection dump file is needed as input to the generate command.To download a GraphQL schema by sending an introspection query to a server:You can use the header option to add additional HTTP headers to the request. For example, to include an authentication token, use --header "Authorization: Bearer ".You can use the insecure option to ignore any SSL errors (for example if the server is running with self-signed certificate).To generate a GraphQL schema introspection JSON from a local GraphQL schema:generateThe purpose of this command is to generate types for query and mutation operations made against the schema (it will not generate types for the schema itself).This tool will generate Swift code by default from a set of query definitions in .graphql files:You can also generate type annotations for TypeScript, Flow, or Scala using the --target option:gql template supportIf the source file for generation is a javascript or typescript file, the codegen will try to extrapolate the queries inside the gql tag templates.The tag name is configurable using the CLI --tag-name option..graphqlconfig supportInstead of using the --schema option to point out your GraphQL schema, you can specify. A protip by thedevsaddam about gojsonq, golang-json-query, go-json-query, json-query, jsonq, go json query, and golang json query. Coderwall Ruby Python JavaScript Front-End Tools iOS JSON query tool. Contribute to adubkov/json-query development by creating an account on GitHub.

Building a JSON Parser and Query Tool with Golang

POST REST API. This tool supports simple query syntax and full Lucene query syntax.To query your search index:On the Search explorer tab, enter text to search on.To jump to nonvisible areas of the output, use the mini map.To specify syntax, switch to the JSON view.Example queries for hotels-sample indexThe following examples assume the JSON view and the 2024-05-01-preview REST API version.TipThe JSON view supports intellisense for parameter name completion. Place your cursor inside the JSON view and type a space character to see a list of all query parameters. You can also type a letter, like "s," to see only the query parameters that begin with that letter. Intellisense doesn't exclude invalid parameters, so use your best judgment.Filter examplesParking, tags, renovation date, rating, and location are filterable.{ "search": "beach OR spa", "select": "HotelId, HotelName, Description, Rating", "count": true, "top": 10, "filter": "Rating gt 4"}Boolean filters assume "true" by default.{ "search": "beach OR spa", "select": "HotelId, HotelName, Description, Rating", "count": true, "top": 10, "filter": "ParkingIncluded"}Geospatial search is filter based. The geo.distance function filters all results for positional data based on the specified Location and geography'POINT coordinates. The query seeks hotels within five kilometers of the latitude and longitude coordinates -122.12 47.67, which is "Redmond, Washington, USA." The query displays the total number of matches &$count=true with the hotel names and address locations.{ "search": "*", "select": "HotelName, Address/City, Address/StateProvince", "count": true, "top": 10, "filter": "geo.distance(Location, geography'POINT(-122.12 47.67)') le 5"}Full Lucene syntax examplesThe default syntax is simple syntax, but if you want fuzzy search, term boosting, or regular expressions, specify the full syntax.{ "queryType": "full", "search": "seatle~", "select": "HotelId, HotelName,Address/City, Address/StateProvince", "count": true}Misspelled query terms, like seatle instead of Seattle, don't return matches in a typical search. The queryType=full parameter invokes the full Lucene query parser, which supports the tilde (~) operand. When you use these parameters, the query performs a fuzzy search for the specified keyword and matches on terms that are similar but not an exact match.Take a minute to try these example queries on your index. To learn more about queries, see Querying in Azure AI Search.Clean up resourcesWhen you work in your own subscription, it's a good idea at the end of a project to identify whether you still need the resources you created. Resources left running can cost you money. You can delete resources individually or delete the resource group to delete the entire set of resources.In the Azure portal, you can find and manage resources for your service under All resources or Resource groups in the left pane.NoteIf you're using a free search service, remember that the limit is three indexes, three indexers, and three data sources. You can delete individual objects in the Azure portal to stay under the limit.Next stepTry an Azure portal wizard to generate a ready-to-use web app that runs in a browser. Use this wizard on the small index you created in this quickstart, or use one of the built-in sample datasets for a richer search experience. --> Feedback Additional resources In