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IT 気になる、記になる… Anker、2023年も直営店でオリジナル福袋「Anker HappyBag」を発売へ https://taisy0.com/2022/12/26/166478.html anker 2022-12-26 09:30:55
IT ITmedia 総合記事一覧 [ITmedia News] 「Amazonさんから代引きで来てますが?」──心当たりのない荷物は詐欺かも? ヤマトに対策を聞いてみた https://www.itmedia.co.jp/news/articles/2212/26/news149.html amazon 2022-12-26 18:41:00
IT ITmedia 総合記事一覧 [ITmedia News] 実物大「パトレイバー」修復のためクラファン実施 35周年の節目、再びデッキアップへ https://www.itmedia.co.jp/news/articles/2212/26/news148.html itmedia 2022-12-26 18:30:00
js JavaScriptタグが付けられた新着投稿 - Qiita ドラッグ&ドロップ実装の極意 https://qiita.com/tonio0720/items/6facacac5db6d68f1a13 順番 2022-12-26 18:03:42
Ruby Rubyタグが付けられた新着投稿 - Qiita 引数のデフォルト値について(Ruby) https://qiita.com/tmtk-td/items/25620a766e58f6ed79c4 defintroducename 2022-12-26 18:01:44
AWS AWSタグが付けられた新着投稿 - Qiita VPCピアリングとNATゲートウェイが混在する環境でハマった件 https://qiita.com/moreen/items/ac91788b863fda67b6dc 何かしら 2022-12-26 18:49:10
GCP gcpタグが付けられた新着投稿 - Qiita Anthos for 逸般の誤家庭でライブマイグレーションができた https://qiita.com/jyoshise/items/e986e8178ca3cddc8c4a anthosfor 2022-12-26 18:32:00
技術ブログ Developers.IO ゲームプラットフォームをAWSに任せることのメリット #reinvent https://dev.classmethod.jp/articles/221226_reinvent22_gam202/ verslivegamesatscalewitha 2022-12-26 09:39:23
海外TECH DEV Community Top 5 Skills for DevOps Engineer Professionals https://dev.to/ethanstechpune/top-5-skills-for-devops-engineer-professionals-38o0 Top Skills for DevOps Engineer ProfessionalsDevOps is not merely a technological solution it has evolved into a buzzword in the IT sector particularly in the US IT market DevOps is well liked because it enables reliable quick and safe software delivery which shortens time to market and boosts end user satisfaction These benefits make DevOps essential for many large businesses DevOps initiatives are also being started by small businesses All you require is a DevOps engineer with knowledge of DevOps Would you like to benefit from this fantastic opportunity Then to have strong DevOps expertise you must be excellent in the following areas Communication and Collaboration In the DevOps race collaboration and communication are crucial to winning These two are essential for removing barriers between Dev and Ops teams coordinating team objectives with corporate objectives and establishing a cross functional DevOps culture Understand the tools involved Only the toolkit utilized at various phases of its execution determines whether DevOps is successful The number of tools that DevOps has introduced is difficult to count However further justification is required for the significance of DevOps success Security Capabilities The pace of deployment made possible by DevOps generally matches risk ratios Because of this restriction security may not operate as intended or as a separate process as it always did This is the advantage of DevSecOps that comes from combining security and SDLC right away Therefore it is debatable if DevSecOps expertise adds anything to the success of DevOps experts Automation Skills Automation which is essential to the DevOps process must be thoroughly understood to become a DevOps Engineer The entire DevOps pipeline including CI CD cycles app performance monitoring infrastructure and configuration should be automatable by DevOps professionals Knowledge of the DevOps toolkit coding and scripting goes hand in hand with having a DevOps automation skill set Testing Skills Testing is essential to the success of DevOps Pipelines for DevOps automation must run tests effectively and without issues This is crucial for the execution of automated tests as well as successful continuous testing Want to know more about DevOps and career opportunities in DevOps Visit our official website ethans co in for complete information 2022-12-26 09:33:05
海外TECH DEV Community Introduction to Data Structures and Algorithms https://dev.to/brilliance/introduction-to-data-structures-and-algorithms-5b6 Introduction to Data Structures and AlgorithmsData structures can seem complex to grasp at first but understanding the concepts can allow us to write efficient and optimized computer programs The key to understanding this amazing concept in programming is being consistent with practice as with every other thing Learning data structures are also very useful for technical interviews and if you understand the patterns you will be a step ahead of the competition In this article you will understand the fundamentals of data structures What is a data structure A data structure is a group of data elements that provide the most efficient ways to store and perform different actions on and with the data stored on a computer A data structure is a collection of data values the relationships among them and the functions or operations that can be applied to the data The choice of a good data structure makes it possible to perform a wide range of critical operations effectively An efficient data structure utilizes minimal memory space and processing time Data structures serve as the foundation for abstract data types the abstract data type defines the logical form of the data type and the data structure implements the physical form of the data type The need for data structuresThe structure of the data and synthesis of the algorithm are relative to each other Data structures are necessary for designing efficient algorithms for provision of reusability and abstraction Data structures are critical for time saving while performing operations such as storage retrieval processing and manipulation of any amount of data Some of the needs for data structures include Efficient time utility easy data representation easy data organization and reduction in computer memory space requirement Types of data structuresThere are two types of data structures the linear data structures and the non linear data structures Let s learn about their differences Linear data structures This is a type of data structure where data is arranged linearly or in a linear pattern The elements are arranged so that an element is linked directly to the previous and next elements in the data set Some examples are arrays lists stacks and queues Non linear data structures In this type of data structure data is arranged in different dimensions such as one to one one to many and many to many Some examples are trees graphs and tables An image showing the linear and non linear data structures Breaking down the data structuresIn this section we ll be going over some linear and non linear data structures ArraysArrays are extremely powerful data structures that store a collection of similar data elements at adjacent memory locations This implementation is necessary for the retrieval of elements stored at any particular index and storage of multiple items of the same type at once This is done by adding an offset to the base value which in most cases is the memory location of the first element of the array usually represented by the name of the array Linked ListsJust like arrays linked lists are linear data structures Linked list elements are not stored at adjacent memory locations rather the elements are linked using pointers from the elements within the list A linked list consists of nodes where each node represents a data field and a reference link to the next node in the list There are different types of linked lists including singly linked lists amp doubly linked listsSingly linked lists This type of linked list is unidirectional It contains nodes that have a value field as well as a next field that points to the next node in the list Some operations that can be performed on a linked list are insertion removal and traversal Doubly linked lists In this type of linked list each node contains a value field a next field and a previous field pointing to the previous node in the sequence StacksA stack is a linear data structure that follows a specific order in which operations are running The order may be LIFO Last In First Out or FILO First In Last Out In this type of data structure all insertion and deletion operations are allowed only on one end called TOP A stack is an abstract data type ADT and can be implemented in most programming languages It is named a stack because it behaves like a real world stack e g a deck of cards or a stack of plates The basic operations that can be performed in a stack are Initialize Create an empty stackPush Add an item to the stack If stack is full return an overflow condition Pop Remove the top item from the stack Peek or Top Return the top element of the stackisEmpty Return true if the stack is empty else return false isFull Check if stack is full QueuesA queue is a linear list in which elements can only be inserted at one end called the rear and deleted only at the other end called the front Like a stack a queue follows a specific order in which the operations are performed The order is First in First out FIFO A real world example of a queue would be a consumer queue where the first consumer is served first and the next comes Stacks and queues are similar although one major difference is that in stacks we remove the item that was most recently added and in queues we remove the item that was least recently added The basic operations that can be performed in a queue areEnqueue Insert an element to the queueDequeue Remove an element from the queue if the queue is empty then it is said to be an underflow conditionPeek Retrieves the element at the front node of the queue without deleting it isFull Validates if the queue is full isNull Checks if the queue is empty Front Get the first item from the queue Rear Get the last item from the queue Binary treesA binary tree is a tree type non linear data structure with a maximum of two children for each parent referred to as parents Trees are multi level data structures with a hierarchical relationship among their elements known as nodes A binary tree is denoted by a pointer to the topmost node in the tree If the tree is empty that makes the value of the root NULL A binary tree node contains three main parts Data element Left Pointer to the left child and Right Pointer to the right child Binary search treeA binary search tree is a binary tree with the following additional properties The left part of the root node contains keys less than the root node keyThe right part of the root node contains keys greater than the root node keyThere is no duplicate key present in the the binary tree HeapA heap is a special tree based data structure which is an almost complete tree that satisfies the heap property Heaps can be of two types Max Heap In a max heap the value in each internal node is greater than or equal to the values in the children of that node Min Heap In a min heap the value in each internal node is less than or equal to the values in the children of that node GraphA graph is a non linear data structure consisting of vertices and edges The vertices are sometimes referred to as nodes and edges are lines or arcs that connect any two nodes in the graph A graph fundamentally has two parts Vertices These are the fundamental units of the graph They can also be called nodes or vertexes Every node vertex can be labeled or unlabeled Edges These are drawn to connect two nodes in the graph It can be an ordered pair of nodes in a directed graph Edges can also be called arcs and every edge can be labeled or unlabeled Graphs are very useful in real life problems They can be used to represent networks and these may include paths in a city or telephone network or circuit network They are also used on social networks like LinkedIn and Facebook On Facebook each person is represented by a node that contains information like the id name gender etc ConclusionsIn conclusion data structures can be very useful and efficient in real world scenarios It is very important to understand how data structures work when and how to implement them to level up your skills and gain access to any esteemed tech companies In the next article I will cover the implementation of these data structures so stay tuned In the mean time you can check out this course by Colt Steele on data structures and algorithms 2022-12-26 09:31:03
海外TECH DEV Community Slack Next-gen Platform - Unit Testing https://dev.to/seratch/slack-next-gen-platform-unit-testing-4inp Slack Next gen Platform Unit TestingIn this tutorial you ll learn how to write unit tests for your Slack s next generation platform app functions PrerequisitesIf you re new to the platform please read my The Simplest Hello World tutorial first In a nutshell you ll need a paid Slack workspace and permission to use the beta feature in the workspace And then you can connect your Slack CLI with the workspace If all the above are already done you re ready to build your first app Let s get started Create a Blank ProjectWhen you start a new project you can run slack create command In this tutorial you will build an app from scratch So select Blank project from the list slack create Select a template to build from Hello World A simple workflow that sends a greeting Scaffolded project A solid foundational project that uses a Slack datastore gt Blank project A well blank project To see all available samples visit github com slack samples Once the project is generated let s check if slack run command works without any issues This command installs a dev version of your new app into your connected Slack workspace Now your app s bot user is in the workspace and your app has its bot token for API calls cd recursing anteater slack run Choose a workspace seratch TEMJU App is not installed to this workspaceUpdating dev app install for workspace Acme Corp ️Outgoing domains No allowed outgoing domains are configured If your function makes network requests you will need to allow the outgoing domains Learn more about upcoming changes to outgoing domains seratch of Acme CorpConnected awaiting eventsIf you see Connected awaiting events log message the app is successfully connected to Slack You can hit Ctrl C to terminate the local app process What you ll DoYou ll add three functions and write tests for all of them echo ts which may convert an input text and return the result in outputsmy send message ts which posts a message in a Slack channeltranslate ts which translates a given text into a different language using DeepL s APIUsually you ll add a workflow and trigger to run your app but this tutorial focuses on unit testing for functions Thus just to run the examples here you don t need to add any workflows and triggers If you want to make sure if your functions work in connected Slack workspaces you can add workflows that run the tested functions Please refer to my past tutorials to learn how to add workflows and triggers my send message ts translate ts Also if you re not yet familiar with functions starting with reading my Custom Functions tutorial may be a smoother way to learn the platform Add echo ts and its TestsLet s start with a quite simple function echo The echo function usually returns an input text as is in returned outputs Only when the function caller passes calipalize true in inputs the function may transform the text import DefineFunction Schema SlackFunction from deno slack sdk mod ts import FunctionSourceFile from mod ts export const def DefineFunction callback id echo title Echo inputs source file FunctionSourceFile import meta url input parameters properties text type Schema types string capitalize type Schema types boolean required text output parameters properties text type Schema types string required text export default SlackFunction def inputs gt const text capitalize inputs if capitalize return outputs text text toUpperCase else return outputs text Before moving on to the test code topic let me share an interesting technique in Deno coding When you have an external dependency in your code the source of import needs to be a full package hosting URL For instance in the above code deno slack source file resolver module is set to version import FunctionSourceFile from mod ts Since the Deno VS Code extension helps you resolve the URL starting with the full URL is fine However if you import the same module again and again in your project you ll want to manage the version in a single configuration To do this you can add your settings to import map json along with importMap import map json in deno jsonc Let s add a new line to import map json for imports deno slack sdk deno slack api deno slack source file resolver With the above setting you can eliminate the version part from the imports Add deno slack source file resolver to imports in import map jsonimport FunctionSourceFile from deno slack source file resolver mod ts I will use this coding style in this tutorial The complete import map json looks like below imports deno slack sdk deno slack api deno slack source file resolver mock fetch std Slack s next generation platform templates encourage developers to use hyphen separated names for the aliases of the URLs So this tutorial follows the naming convention for consistency If you want to use snake cased ones such as mock fetch instead of mock fetch such names actually work without issues too OK now that the test target is ready let s write your first ever Deno test code Create a new file named echo test ts with the following content Add std to imports in import map jsonimport assertEquals from std testing asserts ts import SlackFunctionTester from deno slack sdk mod ts createContext utility helps you build valid arguments for functionsconst createContext SlackFunctionTester my function import handler from echo ts Define a test pattern using Deno test utility The method accept label and test function When you install VS Code Deno extension you can run each test pattern on the editor UIDeno test Return the input text as is async gt const inputs text Hi there const outputs await handler createContext inputs assertEquals outputs text Hi there The only Slack next gen app specific part is SlackFunctionTester and its createContext utility This utility helps you easily build valid arguments for a function Since the utility is small and simple it never prevents you from having various test patterns You can pass any test data as inputs env token and others Deno testing is so simple that you don t need to add any configuration files and build settings for it You can usually run tests just by deno test However when your code has something like FunctionSourceFile which requires additional permissions file system access in this case you need to run the command with the options deno test allow read In a similar way if your code requires network access your deno test command needs to have allow net when running it if you don t want to memorize the necessary options you can add a deno task to deno jsonc With the following setting you can do the same by running deno task test importMap import map json tasks test deno test allow read Lastly if you want to run only a single test you can pass the file path like deno test allow read echo test ts OK let s run the test and see how it goes deno test allow read echo test tsrunning test from echo test tsReturn the input text as is ok ms ok passed failed ms It successfully passed When you add a new test pattern all you need to do is just to append another Deno test part in the same file The following test pattern verifies the capitalize option works as expected Deno test Return the capitalized input text as is when capitalize true async gt const inputs text Hi there capitalize true const outputs await handler createContext inputs assertEquals outputs text HI THERE Run the same test code again You will see a bit different output this time deno test allow read echo test tsrunning tests from echo test tsReturn the input text as is ok ms Return the capitalized input text as is when capitalize true ok ms ok passed failed ms It passed again as expected Let s see how different when it fails Modify the last line of the second test this way assertEquals outputs text HI THERE When running the test again the second test suite should fail as below deno test allow read echo test tsrunning tests from echo test tsReturn the input text as is ok ms Return the capitalized input text as is when capitalize true FAILED ms ERRORSReturn the capitalized input text as is when capitalize true gt echo test ts error AssertionError Values are not equal Diff Actual Expected HI THERE HI THERE throw new AssertionError message at assertEquals testing asserts ts at file path to project echo test ts FAILURESReturn the capitalized input text as is when capitalize true gt echo test ts FAILED passed failed ms error Test failedCool that s all for echo ts Since Deno testing is so easy you ve learned most of the basics of Deno testing already That said if you want to check more details on testing for Deno apps please check Deno s manual page for more details Add my send message ts and its TestsThe second test target may be a bit cumbersome It does HTTP requests to Slack API endpoints In unit testing code you need to simulate the communications with the APIs But not to worry An amazing rd party package mock fetch helps you write the tests easily Let s start with adding the test target to your project Create a new file named my send message ts and save the following code If you ve aleady read my Custom Functions tutorial you should be already familiar with the code import DefineFunction Schema SlackFunction from deno slack sdk mod ts Add deno slack source file resolver to imports in import map jsonimport FunctionSourceFile from deno slack source file resolver mod ts export const def DefineFunction callback id my send message title My SendMessage source file FunctionSourceFile import meta url input parameters properties channel id type Schema slack types channel id message type Schema types string required channel id message output parameters properties ts type Schema types string required ts export default SlackFunction def async inputs client gt const response await client chat postMessage channel inputs channel id text inputs message console log chat postMessage result JSON stringify response null if response error const error Failed to post a message due to response error return error return outputs ts response ts Let s see how it works without mocks Create a new file named my send message test ts import SlackFunctionTester from deno slack sdk mod ts Add std to imports in import map jsonimport assertEquals from std testing asserts ts import handler from my send message ts const createContext SlackFunctionTester my function Deno test Send a message successfully async gt const inputs channel id C message Hi there const token xoxb valid const outputs error await handler createContext inputs token assertEquals error undefined assertEquals outputs ts Run the test and see how it fails deno test allow read my send message test tsrunning test from my send message test tsSend a message successfully FAILED ms ERRORSSend a message successfully gt my send message test ts error PermissionDenied Requires net access to slack com run again with the allow net flag const resp await fetch url at opFetch deno ext fetch fetch js at mainFetch deno ext fetch fetch js at deno ext fetch fetch js at new Promise lt anonymous gt at fetch deno ext fetch fetch js at BaseSlackAPIClient apiCall base client ts at apiCallHandler api proxy ts at Proxy APIProxy objectToProxy api proxy ts at AsyncFunction lt anonymous gt file path to project Unit Testing my send message ts at handlerModule functions slack function ts FAILURESSend a message successfully gt my send message test ts FAILED passed failed ms error Test failedAs you saw the code performs an HTTP request towards a slack com endpoint Thus having allow net option is necessary if you want to run the code as is error PermissionDenied Requires net access to slack com run again with the allow net flagThis is not our goal here but let s see how it fails deno test allow read allow net my send message test tsrunning test from my send message test tsSend a message successfully output chat postMessage result ok false error invalid auth output end Send a message successfully FAILED ms ERRORSSend a message successfully gt my send message test ts error AssertionError Values are not equal Diff Actual Expected Failed to post a message due to invalid auth undefined throw new AssertionError message at assertEquals testing asserts ts at file path to project Unit Testing my send message test ts FAILURESSend a message successfully gt my send message test ts FAILED passed failed ms error Test failedSince we don t set a valid product token for the API call the test code sets xoxb valid which is obviously incorrect the chat postMessage API call failed as expected To make the test pattern successful we need stub mock instead of having real HTTP requests in tests To do this you can use mock fetch library After calling mf install defining mock handlers such as mf mock POST api chat postMessage handler works for all the fetch function calls during the test Of course this global object replacement does not affect your production code at all Add mock fetch to imports in import map jsonimport as mf from mock fetch mod ts import SlackFunctionTester from deno slack sdk mod ts Add std to imports in import map jsonimport assertEquals from std testing asserts ts import handler from my send message ts After this method call all globalThis fetch calls will be replaced with mock behaviorsmf install Handles chat postMessage API callsmf mock POST api chat postMessage async args gt const params await args formData const authHeader args headers get Authorization if authHeader Bearer xoxb valid invalid token pattern const body JSON stringify ok false error invalid auth return new Response body status if params get channel C unknown channel const body JSON stringify ok false error channel not found return new Response body status const body JSON stringify ok true ts return new Response body status Utility for generating valid argumentsconst createContext SlackFunctionTester my function Deno test Send a message successfully async gt const inputs channel id C message Hi there const token xoxb valid const outputs error await handler createContext inputs token assertEquals error undefined assertEquals outputs ts Rerun the test You ll see it succeeds as below deno test allow read allow net my send message test tsrunning test from my send message test tsSend a message successfully output Bearer xoxb validchat postMessage result ok true ts output end Send a message successfully ok ms ok passed failed ms Let s add two more test patterns The following test suites should work as is Deno test Fail to send a message with invalid token async gt const inputs channel id C message Hi there const token xoxb invalid const outputs error await handler createContext inputs token assertEquals error Failed to post a message due to invalid auth assertEquals outputs undefined Deno test Fail to send a message to an unknown channel async gt const inputs channel id D message Hi there const token xoxb valid const outputs error await handler createContext inputs token assertEquals error Failed to post a message due to channel not found assertEquals outputs undefined When you run the test again the outputs should be like the below deno test allow read my send message test tsrunning tests from my send message test tsSend a message successfully output chat postMessage result ok true ts output end Send a message successfully ok ms Fail to send a message with invalid token output chat postMessage result ok false error invalid auth output end Fail to send a message with invalid token ok ms Fail to send a message to an unknown channel output chat postMessage result ok false error channel not found output end Fail to send a message to an unknown channel ok ms ok passed failed ms Want to remove console log Although Slack s official examples suggest using console log for simple logging you may dislike lots of output outputs in test results If yes switching to Deno s standard logger and passing the log level in env can be a simple solution for it Here is a quick example You can add logger ts Add std to imports in import map jsonimport as log from std log mod ts Simple logger using std modulesexport const Logger function level string log Logger const logLevel log LevelName level undefined DEBUG the default log level level as log LevelName Note that this method call make global effects log setup handlers console new log handlers ConsoleHandler logLevel loggers default level logLevel handlers console return log getLogger And then you can replace the console log code in my send messages ts import Logger from logger ts export default SlackFunction def async inputs client env gt const logger Logger env LOG LEVEL const response await client chat postMessage channel inputs channel id text inputs message Replace console log here logger debug chat postMessage result JSON stringify response null Lastly you can modify the test code Deno test Send a message successfully async gt const inputs channel id C message Hi there const token xoxb valid Pass the env to set log level const env LOG LEVEL INFO const outputs error await handler createContext inputs env token assertEquals error undefined assertEquals outputs ts With this the console log outputs disappear from the stdout In the future the Deno SDK may come up with a more sophisticated solution for custom logging Until then the above approach can be somewhat useful Add translate ts and its TestsThe last test target is a function that performs an external API call Actually there is no significant difference from the second one which does a Slack API call Let s quickly go through it Create a new file named translate ts with the following source code If you ve already read my External API Calls tutorial you may be already familiar with the code import DefineFunction Schema SlackFunction from deno slack sdk mod ts Add deno slack source file resolver to imports in import map jsonimport FunctionSourceFile from deno slack source file resolver mod ts The metadata definition for the translator functionexport const def DefineFunction callback id translate title Translate description Translate text using DeepL s API This example code uses a rd party module deno slack source file resolver to automatically resolve the relative path of this source file source file FunctionSourceFile import meta url input parameters properties text type Schema types string source lang type Schema types string optional target lang type Schema types string required text target lang output parameters properties translated text type Schema types string required translated text export default SlackFunction def async inputs env gt When running a dev version of your app placing env file with variables is the way to configure env As for the deployed prod one you need to run slack env add DEEPL AUTH KEY value before running the app s workflow const authKey env DEEPL AUTH KEY if authKey Since it s impossible to continue in this case this function returns an error const error DEEPL AUTH KEY env value is missing Please add env file for slack run If you ve already deployed this app slack env add DEEPL AUTH KEY value command configures the env variable for you return error Build an HTTP request towards DeepL s text translation API const subdomain authKey endsWith fx api free api const deeplApiUrl https subdomain deepl com v translate const body new URLSearchParams body append auth key authKey body append text inputs text if inputs source lang this input is optional body append source lang inputs source lang toUpperCase body append target lang inputs target lang toUpperCase When there is no Deno library to perform external API calls simply using the built in fetch function is recommended const response await fetch deeplApiUrl method POST headers content type application x www form urlencoded charset utf body const status response status if status const body await response text const error DeepL API error status status body body return error When the translation succeeds the response body is JSON data const result await response json if result result translations length const error Translation failed JSON stringify result return error When it s successful the outputs must include translated text as it s required return outputs translated text result translations text Here is the corresponding test code Add mock fetch to imports in import map jsonimport as mf from mock fetch mod ts import SlackFunctionTester from deno slack sdk mod ts Add std to imports in import map jsonimport assertEquals from std testing asserts ts import handler from translate ts After this method call all globalThis fetch calls will be replaced with mock behaviorsmf install Handles DeepL s text translation API callsmf mock POST v translate async args gt const params await args formData if params get auth key valid token Invalid auth key return new Response Unauthorized status Successful pattern const body JSON stringify translations detected source language EN text こんにちは return new Response body status const createContext SlackFunctionTester my function Deno test Translate text successfully async gt const inputs text Hello target lang ja const env DEEPL AUTH KEY valid token const outputs await handler createContext inputs env assertEquals outputs translated text こんにちは Deno test Fail to continue if DEEPL AUTH KEY is missing async gt const inputs text Hello target lang ja intentionally empty const env const outputs error await handler createContext inputs env assertEquals error DEEPL AUTH KEY env value is missing Please add env file for slack run If you ve already deployed this app slack env add DEEPL AUTH KEY value command configures the env variable for you assertEquals outputs undefined Deno test Fail to traslate text with an invalid token async gt const inputs text Hello target lang ja const env DEEPL AUTH KEY invalid token const outputs error await handler createContext inputs env assertEquals error DeepL API error status body Unauthorized assertEquals outputs undefined The only difference is that mf mock POST v translate handler part You may wonder if it s feasible to set the domain of an endpoint in the mf mock method call As far as I know it s not yet supported on the mock fetch library side as of this wriging If you have conflicts on the path among a few domains checking the url in arguments to dispatch requests is a reasonable workaround mf mock POST v translate args gt console log args url Wrapping UpYou ve learned the following points with this hands on tutorial Write Deno test code for your functionsPrepare inputs env and so on for function testingUse mock objects for fetch function callsCustomize import map json to have aliases for module pathsUse the deno command options such as allow readThe complete project is available at I hope you enjoy this tutorial As always if you have any comments or feedback please feel free to let me know on Twitter seratch or elsewhere I can check out Happy hacking with Slack s next generation platform 2022-12-26 09:09:14
海外TECH DEV Community What is the Systems Development Life Cycle: A Comprehensive Review https://dev.to/flatlogic/what-is-the-systems-development-life-cycle-a-comprehensive-review-ddo What is the Systems Development Life Cycle A Comprehensive ReviewWhen it comes to creating software for an enterprise or some complicated CRM software it can be difficult to know how to start After all there are many factors to consider such as defining the problem correctly and ensuring that the software can effectively address it Creating software without planning is a recipe for disaster Without proper planning the software may be rushed inefficient and lacking the features needed Furthermore the software may be challenging to maintain and upgrade as it was not designed with scalability or extensibility Creating software “as is vs planningPlanning is an essential part of creating any software as it allows the developers to understand the scope of the project identify the best technologies to use and create a timeline to ensure the project is completed on time Just as with everything in life having a plan is better than not having one One of many approaches that can be helpful in navigating this process is the Systems Development Life Cycle SDLC This framework provides a structured approach to software development guiding the process from conception to deployment So how would you know where to begin with it Then how would you ensure that you define the problem correctly so that your software can handle it correctly Perhaps on the other hand what if you already get the software s code base but don t know what to do with it These questions are the most powerful reason for the implementation of something like SDLC What is SDLC SDLC is a framework that outlines the steps necessary to create an effective and efficient software system SDLC solutions can help organizations address various problems including Poorly planned projects that end up taking longer than expected or going over budget Unorganized development processes lead to delays and unnecessary mistakes Unclear communication between teams or departments results in misunderstandings and mistakes Lack of visibility into project progress leading to unplanned delays Insufficient testing and quality assurance processes lead to poor quality outcomes The SDLC consists of six phases planning analyzing design development testing and maintenance SDLC Phases PlanningThe scope and objectives of the project are determined during the planning phase It is the foundation stage that establishes the scope and objectives of the project During this phase the project team will define the project scope set deadlines and identify the resources needed to complete the project The team will also create a project plan outlining the various tasks that need to be completed and the sequence in which they need to be completed Risk management plans are also put in place during this phase to help identify potential risks that may arise It is important to ensure that the project objectives are achievable and that the team has the skills and resources necessary to complete the project on time and within budget The planning phase is vital to the success of the project and sets the tone for the rest of the SDLC The team should also create a project budget and timeline to ensure that the project is completed on time and within budget The team should also create a quality assurance plan to ensure that the software meets the user requirements and is bug free Furthermore the team should create a communication plan to ensure that all stakeholders are kept informed of the progress of the project The team should also create a risk management plan to identify and mitigate any potential risks during the project Finally the team should create a user feedback system to ensure that any issues are identified and addressed quickly This phase is important to ensure that the project is properly planned and managed to ensure its success AnalysisThe SDLC Analysis Phase is the second part of the software development life cycle In this phase the project team will analyze the business requirements to understand what needs to be done to create the software solution The team will document the user requirements identify the system functions and features and create a detailed design specification The project team will also review the feasibility of the project and develop a timeline for completion In addition they will identify potential risks and create a risk management plan to mitigate them The team will also create a cost analysis to determine the estimated cost of the project This phase is key to the success of the project as it provides the team with the necessary information to move forward with the project It is important to ensure that the analysis phase is properly managed to ensure the project is successful The team will also consider various technologies that can be used to develop the software solution They will analyze the strengths and weaknesses of the different technologies and determine which one is best suited to the project The team will also analyze the market to identify any potential competitors and assess the current trends in the industry Finally the team will create a user interface design to ensure the software is user friendly During this phase it is important to ensure that the team can identify areas of improvement and make the necessary changes to the design By properly managing the analysis phase the team will be able to create a successful software solution DesignThe SDLC Design Phase is the third part of the software development life cycle This phase is where the team begins to create the software During this phase the team will create the software architecture design the user interface and code the software The team will also review the design and make any necessary changes The design should include all of the user requirements system functions and features that were identified in the analysis phase The team should also create a test plan to ensure that the software meets the user requirements and is bug free The design phase is critical to ensure that the software is user friendly and meets all of the project requirements It is important to ensure that the design is properly managed to ensure the success of the project Besides design the team will also create a database that will store all of the data related to the software The team will also create a data flow diagram that outlines the different processes that will take place within the software The team will also create a system security plan to ensure that the software is secure from outside threats Finally the team will create a deployment plan to ensure that the software is properly deployed and maintained This phase is important to ensure that the software is properly developed and the project is completed on time and within budget It is important to ensure that the design phase is properly managed to ensure the success of the project DevelopmentThe SDLC Development Phase is the fourth part of the software development life cycle During this phase the team will create the software The team will write the code and create the necessary files and components to complete the project The team will also create a testing plan to ensure that the software is bug free During this phase the project team should also create a version control system to ensure that the code is properly managed This phase is key to the success of the project as it ensures that the software is developed properly It is important to ensure that the development phase is properly managed to ensure the success of the project The team should also select the appropriate software stack for the project The software stack is the combination of programming languages frameworks and libraries that are used to build the software It is important to select the appropriate stack to ensure that the software is properly developed and can meet the user s requirements The team should also consider the scalability of the stack to ensure that the software can grow and evolve as needed This phase is important to ensure that the software is properly developed and the project is completed on time and within budget In addition to the development the team will also create the necessary documentation for the software This includes user manuals installation guides and system diagrams The team should also create a training plan for users to ensure that they understand how to use the software Furthermore the team should create a bug tracking system to ensure that any issues are identified and resolved quickly Finally the team should create an implementation plan to ensure that the software is properly deployed and maintained This phase is important to ensure that the software is properly developed and the project is completed on time and within budget TestingThe testing phase is used to verify the functionality of the system and ensure that it meets the specified requirements During this phase the team will test the software to ensure that it meets the user requirements and is bug free The team will create a test plan to identify the various tests that need to be completed and the sequence in which they should be completed The team will also create a test environment to simulate the actual environment in which the software will be used This phase is key to the success of the project as it ensures that the software is tested thoroughly and meets all of the project requirements It is important to ensure that the testing phase is properly managed to ensure the success of the project Apart from testing the team will also perform security testing to ensure that the software is secure from outside threats The team will also perform performance testing to ensure that the software can handle the expected load The team should also create a documentation plan to ensure that all of the necessary documentation is created and maintained Finally the team should create a bug tracking system to ensure that any issues are identified and resolved quickly This phase is important to ensure that the software is properly tested and the project is completed on time and within budget MaintenanceOnce the system is tested and verified it is ready for the maintenance phase During this phase the team will monitor the software and make any necessary changes to ensure that it continues to meet the user requirements The team will also create a maintenance plan to ensure that any changes or updates to the software are properly implemented The team should also create a post implementation review to evaluate the success of the project and identify areas of improvement This phase is key to the success of the project as it ensures that the software is maintained properly and can evolve as needed It is important to ensure that the maintenance phase is properly managed to ensure the success of the project Besides maintenance the team should also create a backup plan to ensure that the software and its data are protected in case of a disaster The team should also monitor the performance of the software to ensure that it can handle the expected load The team should also create a user feedback system to ensure that any issues are identified and addressed quickly Finally the team should create a change management system to ensure that any changes or updates to the software are properly documented and communicated to all stakeholders This phase is important to ensure that the software is properly maintained and the project is successful SDLC ModelsThe SDLC Models are a set of methods used to create software applications There are several different types of models including the Waterfall Model the Agile Model the DevOps Model the Spiral Model the Prototype Model and the Iterative Model The Waterfall Model is a traditional method that follows a linear approach with each phase of the SDLC being completed in sequential order The Agile Model is a more modern approach that focuses on rapid development short sprints and frequent feedback The DevOps Model is a hybrid of the Waterfall and Agile models that combines the best of both approaches The Spiral Model is a risk focused approach that allows for rapid iteration The Prototype Model is an iterative approach that focuses on creating a prototype and testing it before proceeding with the development Finally the Iterative Model is an incremental approach that focuses on making small incremental changes to the software Each model has its benefits and drawbacks and it is important to choose the right model for the project It is important to ensure that the project team is familiar with the selected model before beginning the project This phase is important to ensure that the software is properly developed and the project is completed on time and within budget The team should also consider the scalability of the model to ensure that the software can grow and evolve as needed Furthermore the team should create process documentation to ensure that the process is properly documented and can be followed by all members of the team This documentation should include the steps of the model the tools and techniques used and any best practices that the team should follow This documentation should be updated regularly to ensure that the process remains up to date and that the team is aware of any changes or updates Usage of SDLCThe SDLC is an iterative process meaning that it is continually evolving and adapting to changes in the user s requirements and technology As new technologies and user needs emerge the system must be modified to meet the new requirements This requires that the SDLC be revisited and the steps outlined above repeated By following the phases of the SDLC software developers can create reliable and effective software systems that meet the user s needs The SDLC is an invaluable tool for any software developer and is essential for successful software development The Systems Development Life Cycle is used by software developers software engineers IT professionals project managers and business analysts The SDLC is used to ensure that the system meets the user s requirements and is built to last It provides a framework for the successful development and maintenance of software systems and helps ensure that the system is built according to best practices and industry standards Benefits of Systems Development Life CycleThe Systems Development Life Cycle SDLC is a process used by information technology professionals to develop and maintain software systems It is an essential process for the successful development and maintenance of software systems and it offers numerous benefits SDLC helps to ensure that the system meets the user s requirements and is built to last It provides a framework for the successful development and maintenance of software systems and helps ensure that the system is built according to best practices and industry standards SDLC helps to facilitate better communication between the developers and the stakeholders It helps to ensure that the stakeholders have a clear understanding of the system s requirements and that the developers have a clear understanding of the stakeholders expectations SDLC helps to identify potential risks associated with the project By identifying and addressing potential risks early on the project is more likely to be successful SDLC helps to reduce the cost and time of software development By following the steps of the SDLC software developers can create reliable and effective software systems in a shorter amount of time and at a lower cost Why choose Flatlogic Platform as an SDLC solution flatlogic com crud appFlatlogic Platform is a platform that provides developers with the tools they need to quickly and efficiently build web applications using the SDLC Flatlogic Platform does offer the potential to speed up development by or more compared to traditional manual software development processes The platform s automated tools streamlined workflow and comprehensive analytics all help to reduce the amount of time and effort required to complete projects This can result in a notable improvement in development speed and efficiency Benefits of choosing Flatlogic Platform Automated and streamlined workflow Flatlogic Platform automates the software development lifecycle from project planning to deployment This streamlines the process and eliminates any manual steps ensuring projects are completed on time and within budget Easy to use interface Flatlogic Platform has an intuitive user friendly interface that enables teams to quickly set up projects create tasks and manage timelines This makes it easy for developers to stay organized and efficient throughout the project Comprehensive analytics The platform provides comprehensive analytics allowing teams to track and analyze project progress and performance This helps teams identify and address potential issues before they become problems improving the overall quality of the end product Secure and reliable Flatlogic Platform is secure and reliable ensuring data is stored safely and accessible only to authorized personnel This helps protect sensitive customer information and ensures projects are completed efficiently 2022-12-26 09:07:50
海外TECH DEV Community React Context API https://dev.to/shubhamtiwari909/global-state-using-context-api-react-1l08 React Context APIHello everyone today I ll show you how to create a single state for data that can be used in any component down the Component tree without the use of props Let s get started Issue with props When you create a state in react using state and want to pass that state to another component such as a parent child relationship you pass the state data as a prop to the other component and everything works fine The issue arises when you attempt to pass that state data down to another component that is deeply nested within another component It will force the component to receive unrelated data in order to pass it down to the component tree which may result in unnecessary re rendering To solve this problem we can use context API in react createContext import createContext useContext useState useRef from react const UserContext createContext export default function App const username setUsername useState id name Shubham return lt div className App gt lt UserContext Provider value username setUsername gt lt h gt Main Component lt h gt lt ReadUser gt lt UserContext Provider gt lt div gt In this example I ve used createContext to create a context that will be used by assigning a value to it in the Provider As an array value I passed the state and its setter function This array will be received directly by both Components within UserContext useContext const ChangeUser gt const globalData useContext UserContext const username setUsername globalData const inputRef useRef null return lt div gt lt h gt Component inside Component lt h gt lt input type text ref inputRef gt lt button onClick gt if username name inputRef current value setUsername id Math floor Math random name inputRef current value inputRef current focus gt Change Username lt button gt lt ReadUser gt lt div gt const ReadUser gt const globalData useContext UserContext const username globalData return lt div gt lt h gt Component inside Component lt h gt lt h gt username id lt h gt lt h gt username name lt h gt lt div gt We can obtain the value returned by createContext by using useContext I extracted the state and its setter function from the array value using array destructuring I m changing the state in the App component in the ChangeUser component and then showing the value in the ReadUser component which is inside the ChangeUser component As you can see I can access the state and its setter function in any component inside Context Provider Best part is i can use this ReadUser component anywhere even outside the ChangeUser componentTHANK YOU FOR CHECKING THIS POSTYou can contact me on Instagram LinkedIn Email shubhmtiwri gmail com You can help me with some donations at the link below Thank you gt lt Also check these posts as well 2022-12-26 09:04:17
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