Human: Web search results:
[1] "In your .env file, add an environment variable SERVICE_ACCOUNT_KEY with the value of encoded_service_key: SERVICE_ACCOUNT_KEY = b'a_long_string'. Now to convert the encoded string back to JSON: # get the value of `SERVICE_ACCOUNT_KEY`environment variable load_dotenv (find_dotenv ()) encoded_key = os.getenv ("SERVICE_ACCOUNT_KEY") # remove the ..."
URL: https://stackoverflow.com/questions/71544103/how-can-we-store-a-json-credential-to-env-variable-in-python
[2] "SQL bq. Use the CREATE TABLE statement and declare a column with the JSON type. In the Google Cloud console, go to the BigQuery page. Go to BigQuery. In the query editor, enter the following statement: CREATE TABLE mydataset.table1(. id INT64, cart JSON. );"
URL: https://cloud.google.com/bigquery/docs/reference/standard-sql/json-data
[3] "Click the email address of the service account that you want to create a key for. Click the Keys tab. Click the Add key drop-down menu, then select Create new key. Select JSON as the Key type and click Create. Clicking Create downloads a service account key file. After you download the key file, you cannot download it again."
URL: https://cloud.google.com/iam/docs/keys-create-delete
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: Imagine you are a senior software engineer. I want to store a json encoded in base 64 key file from google cloud for a service account of my FE app to be able to set it as an environment variable in my react typescript app, configured with vite. I have a CI / CD with github actions which looks like this:
Dockerfile:
# Specify the base image
FROM node:14-alpine
# Set the working directory
WORKDIR /app
# Copy package.json and yarn.lock
COPY package.json yarn.lock ./
# Install dependencies
RUN yarn install
# Copy the rest of the application
COPY . .
# Build the app
RUN yarn build
ENV PORT=3000
# Start the app
CMD ["yarn", "start"]
CI.yml:
name: UI CI
on:
push:
branches:
- master
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v3
- id: 'auth'
uses: 'google-github-actions/auth@v1'
with:
credentials_json: '${{ secrets.gac }}'
- name: Set up Google Cloud SDK
uses: google-github-actions/
[email protected]
- name: Configure Docker to authenticate with Artifact Registry
run: |
gcloud auth configure-docker \
${{ secrets.gar}} \
--quiet
- name: Build and push Docker image
uses: docker/build-push-action@v4
with:
context: .
push: true
tags: ${{ secrets.GOOGLE_ARTIFACTORY_REGISTRY_URL }}/portumfrontend:latest
- id: 'deploy'
uses: 'google-github-actions/deploy-cloudrun@v1'
with:
service: 'portumfrontend'
image: '${{ secrets.GOOGLE_ARTIFACTORY_REGISTRY_URL }}/portumfrontend:latest'
region: 'europe-southwest1'
credentials: ${{ secrets.FRONT_ENT_ACC_KEY }}
env_vars: |
my-env-vars
Using this configuration help me set up the Json file content in order to use it to get the Authentication token from google to make API calls.
ChatGPT:
To set up the JSON file content as an environment variable in your React TypeScript app configured with Vite, first, you need to create a JSON key file for your service account. Follow these steps from the Google Cloud documentation [3]:
- Click the email address of the service account that you want to create a key for.
- Click the Keys tab.
- Click the Add key drop-down menu, then select Create new key.
- Select JSON as the Key type and click Create. Clicking Create downloads a service account key file. After you download the key file, you cannot download it again.
Next, you need to encode the JSON key file in Base64. You can do this using any programming language or an online tool. Once you have the encoded string, add it as an environment variable to your project.
In your .env
file, add an environment variable SERVICE_ACCOUNT_KEY
with the value of the encoded service key:
SERVICE_ACCOUNT_KEY = b'a_long_string'
Now, to convert the encoded string back to JSON, use the following Python code snippet from [1]:
load_dotenv(find_dotenv())
encoded_key = os.getenv("SERVICE_ACCOUNT_KEY")
decoded_key = base64.b64decode(encoded_key[2:-1]).decode("utf-8")
credential_json = json.loads(decoded_key)
Once you have the JSON credentials, you can use them to authenticate your API calls.
To integrate the JSON content as an environment variable in your GitHub Actions CI/CD pipeline, you can add the encoded Base64 key to your GitHub repository's secrets. Name the secret, for example, SERVICE_ACCOUNT_KEY_ENCODED
, and set its value to the Base64-encoded service key.
Then, in your CI.yml
, update the env_vars
field to include the SERVICE_ACCOUNT_KEY
environment variable. Your updated CI.yml
should look like this:
...
- id: 'deploy'
uses: 'google-github-actions/deploy-cloudrun@v1'
with:
service: 'portumfrontend'
image: '${{ secrets.GOOGLE_ARTIFACTORY_REGISTRY_URL }}/portumfrontend:latest'
region: 'europe-southwest1'
credentials: ${{ secrets.FRONT_ENT_ACC_KEY }}
env_vars: |
SERVICE_ACCOUNT_KEY=${{ secrets.SERVICE_ACCOUNT_KEY_ENCODED }}
my-env-vars
Now, your React TypeScript app should have access to the service account key as an environment variable, allowing you to authenticate and make API calls to Google Cloud services.
Human: Web search results:
[1] "Another solution that worked for me is to manually call dotenv.config() inside the vite.config.js.That will load variables from .env (all of them!) into process.env:. import { defineConfig } from 'vite' import dotenv from 'dotenv' dotenv.config() // load env vars from .env export default defineConfig({ define: { __VALUE__: `"${process.env.VALUE}"` // wrapping in "" since it's a string }, //...."
URL: https://stackoverflow.com/questions/70709987/how-to-load-environment-variables-from-env-file-using-vite
[2] "import { defineConfig, loadEnv } from 'vite' export default defineConfig(({ mode }) => { const env = loadEnv(mode, process.cwd(), '') return { define: { __APP_ENV__: env.APP_ENV, }, // rest of Vite config } } to use in your code you can do in this way: import.meta.env.VariableName update: according to Vite documentation, environment variables ..."
URL: https://stackoverflow.com/questions/75265156/how-to-add-environment-variables-in-vite-config-js-for-a-react-project
[3] "When running vite from the command line, Vite will automatically try to resolve a config file named vite.config.js inside project root. The most basic config file looks like this: js. // vite.config.js export default { // config options } Note Vite supports using ES modules syntax in the config file even if the project is not using native Node ..."
URL: https://vitejs.dev/config/
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: how to pull that information into code maybe using some vite config ? import { defineConfig } from 'vite';
export default defineConfig({
// ...your other configurations
define: {
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY': JSON.stringify(process.env.GOOGLE_SERVICE_ACCOUNT_KEY),
},
}); In order to use it to make a request to via google authentication library to get a token ?
ChatGPT:
To pull the information into your code using Vite configuration, you can make use of vite.config.js
. You've already provided a basic structure to inject the GOOGLE_SERVICE_ACCOUNT_KEY
environment variable into your application.
Update your vite.config.js
to look like this:
import { defineConfig } from 'vite';
import dotenv from 'dotenv';
dotenv.config();
export default defineConfig({
define: {
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY': JSON.stringify(process.env.GOOGLE_SERVICE_ACCOUNT_KEY),
},
});
Here, we're using the dotenv
package to load the environment variables from the .env
file into process.env
[1]. We then use the define
configuration property in vite.config.js
to inject the environment variable into the app. This way, it will be accessible within the application as process.env.GOOGLE_SERVICE_ACCOUNT_KEY
.
After configuring Vite to make the GOOGLE_SERVICE_ACCOUNT_KEY
available in your application, you can use it to make a request via the Google authentication library to get a token. First, install the google-auth-library
:
npm install google-auth-library
Then, in your code, you can do the following:
import { GoogleAuth } from 'google-auth-library';
const serviceAccountKeyJson = JSON.parse(atob(process.env.GOOGLE_SERVICE_ACCOUNT_KEY));
const auth = new GoogleAuth({
projectId: serviceAccountKeyJson.project_id,
credentials: {
client_email: serviceAccountKeyJson.client_email,
private_key: serviceAccountKeyJson.private_key,
},
});
async function getAuthToken() {
const client = await auth.getClient();
const token = await client.getAccessToken();
return token;
}
getAuthToken().then(token => {
});
This code snippet initializes the Google authentication library with the service account key obtained from the environment variable, then retrieves an authentication token which you can use to make API calls to Google Cloud services.
Human: Web search results:
[1] "1 The sample below demonstrates failure to authenticate to google service account using the key created just the few lines above using python api. I was not able to find any document on how these, programmatic keys, can be used. The keys created by clicking thru console UI are working just fine."
URL: https://stackoverflow.com/questions/56840046/unable-to-authenticate-using-google-cloud-service-account-key-created-by-python
[2] "My only suggestion for that is that maybe you've spelled the command wrong? It should be: gcloud auth activate-service-account --key-file=key.json whereas you've typed gcloud auth activate-service-account --key file=key.json ie, with a space after --key. Let us know if you figure it out! Share Improve this answer Follow"
URL: https://stackoverflow.com/questions/43278622/gcloud-auth-activate-service-account-error-please-ensure-provided-key-file-is
[3] "In the Google Cloud console, go to the Service accounts page. Go to Service accounts school The remaining steps will appear automatically in the Google Cloud console. Select a project...."
URL: https://cloud.google.com/iam/docs/keys-create-delete
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: The only problem is that the value of GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED is encoded and when we pull it into the code we need to be decoded. At which point in the process is best and most secure way to decode the value for the GOOGLE_SERVICE_ACCOUNT_KEY ?
ChatGPT:
The most secure way to decode the GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED
value is to do it within your application code, right before using it for authentication. This ensures that the decoded service account key is not stored in any intermediary location or environment variable, which could expose it to potential security risks.
Here's an example of how you can decode the GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED
in your application:
function decodeServiceAccountKey(encodedKey) {
const decodedKey = window.atob(encodedKey);
return JSON.parse(decodedKey);
}
const serviceAccountKeyJson = decodeServiceAccountKey(process.env.GOOGLE_SERVICE_ACCOUNT_KEY);
You can then use the serviceAccountKeyJson
variable to initialize the Google authentication library and retrieve an authentication token as shown in the previous answer. By decoding the key only when needed, you minimize the exposure of the sensitive information.
Human: Web search results:
[1] "I solved this in following way : 1.create a debug configuration Please follow the link medium.com/@Miqubel/… medium.com/@Miqubel/… 2.Then create a new database Please follow the link: firebase.google.com/docs/database/usage/… 3.In your code based on your product flavor connect to the corresponding database based on the product - Kunal Khaire"
URL: https://stackoverflow.com/questions/37450439/separate-dev-and-prod-firebase-environment
[2] "Select Environments, and then select an environment from the list. On the command bar, select History. Note Some actions such as Edit will show the edit as an action but not details of the action. Once an environment is completely deleted, environment history is also deleted."
URL: https://learn.microsoft.com/en-us/power-platform/admin/environments-overview
[3] "You've already noticed the problems that not having separate environments causes. Right there you've got the fundamental reason for separate environments: to eliminate the problems caused by the conflicts that inevitably arise when trying to do development, testing and production operations in a single environment."
URL: https://softwareengineering.stackexchange.com/questions/332179/manager-wants-a-combined-development-production-environment
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: How to properly separate the local and prod environments for the FE app ? In local env I don't want to make requests to google for authentication. On locally it should work without token.
ChatGPT:
To properly separate local and production environments for your frontend app, you can create environment-specific configuration files and use environment variables to determine which configuration to load.
Create environment-specific configuration files, e.g., .env.local
for local development and .env.production
for production. Set different environment variables in each file. For example, you could set REACT_APP_AUTH_MODE
in each file, like this:
.env.local
:
REACT_APP_AUTH_MODE=noauth
.env.production
:
REACT_APP_AUTH_MODE=google
GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED=your_encoded_key
Update your vite.config.js
to load the appropriate environment variables based on the current environment:
import { defineConfig, loadEnv } from 'vite';
import dotenv from 'dotenv';
export default defineConfig(({ mode }) => {
const env = loadEnv(mode, process.cwd(), '');
dotenv.config({ path: `.env.${mode}` });
return {
define: {
'process.env.REACT_APP_AUTH_MODE': JSON.stringify(env.REACT_APP_AUTH_MODE),
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED': JSON.stringify(env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED),
},
};
});
Here, we load the appropriate .env
file based on the current mode
(local or production) [2].
In your application code, use the REACT_APP_AUTH_MODE
environment variable to determine whether to use Google authentication or bypass it:
if (process.env.REACT_APP_AUTH_MODE === "google") {
const serviceAccountKeyJson = decodeServiceAccountKey(process.env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED);
} else {
}
By following these steps, you can separate local and production environments, using Google authentication only in production, while bypassing it in the local environment.
Human: Web search results:
[1] "Oops, there was an error. Please try again.If it persists, please email
[email protected]"
URL: https://lite.duckduckgo.com/50x.html?e=3
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: is there a better alternative , in a cleaner way ? because I don't really like that if in the business logic to check the envs ... given this folder structure where should we put the authentication logic ? .gitignore
│ docker-compose.yml
│ Dockerfile
│ index.html
│ jsconfig.json
│ package.json
│ postcss.config.cjs
│ prettier.config.cjs
│ README.md
│ tailwind.config.cjs
│ vite.config.js
│ yarn.lock
│
├───.github
│ └───workflows
│ ci.yml
│
├───.vscode
│ settings.json
│
├───public
│ ├───css
│ │ tailwind.css
│ │
│ └───img
│ favicon.ico
│ hero.png
│ portum-logo.png
│
└───src
│ App.jsx
│ main.jsx
│
├───data
│ contact-data.js
│ features-data.js
│ index.js
│ team-data.js
│
├───pages
│ home.jsx
│ index.js
│ sign-in.jsx
│ sign-up.jsx
│
└───widgets
├───cards
│ feature-card.jsx
│ index.js
│ team-card.jsx
│
└───layout
footer.jsx
index.js
mail-form.jsx
navbar.jsx
page-title.jsx
ChatGPT:
To separate the authentication logic and keep your business logic clean, you can create a dedicated authentication module within your src
folder. This approach allows you to handle the environment check and authentication process in one place, making your code more modular and easier to maintain.
Create a new folder src/auth/
and create a new file auth.js
inside it.
In auth.js
, implement the authentication logic based on the environment:
export function getAuthenticationToken() {
if (process.env.REACT_APP_AUTH_MODE === 'google') {
const serviceAccountKeyJson = decodeServiceAccountKey(process.env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED);
return token;
} else {
return null;
}
}
function decodeServiceAccountKey(encodedKey) {
return decodedJson;
}
Now, in your application code, import the getAuthenticationToken
function from the auth.js
module and use it to retrieve the authentication token:
import { getAuthenticationToken } from './auth/auth';
function App() {
const token = getAuthenticationToken();
}
By following these steps, you can separate the authentication logic from your business logic, keeping your code clean and modular. The environment check and authentication process will be handled in a single module, and other parts of your application can simply import and use the getAuthenticationToken
function without worrying about the underlying logic.
Human: Web search results:
[1] "Thank you @theprimone. The plugin is surely an easy way to make it work. I ended up with this simple vite.config.ts ``` import { defineConfig } from "vite"; import reactRefresh from "@vitejs/plugin-react-refresh"; import tsconfigPaths from "vite-tsconfig-paths"; // vitejs.dev/config export default defineConfig({ plugins: [reactRefresh(), tsconfigPaths()], }); ``` It means I can simply ..."
URL: https://stackoverflow.com/questions/68241263/absolute-path-not-working-in-vite-project-react-ts
[2] "A simple solution for version 2.7.12 (my current) is to declare alias as an array:. import vue from '@vitejs/plugin-vue' import { defineConfig } from 'vite' import ..."
URL: https://stackoverflow.com/questions/68217795/vite-resolve-alias-how-to-resolve-paths
[3] "Short answer: Because this is how TypeScript works. Vite config interface does not know anything about Vitest and TS does not allow excessive properties (properties not defined by the type/interface) Because Vite itself does not know anything about Vitest and it's configuration. So Vitest must extend Vite config (defined as TS interface)"
URL: https://stackoverflow.com/questions/72146352/vitest-defineconfig-test-does-not-exist-in-type-userconfigexport
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: This is our Vite current config: import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
export default defineConfig({
plugins: [react()],
resolve: {
alias: [{ find: "@", replacement: "/src" }],
},
}); Adapt this new configuration to our current one with the env and google key.
ChatGPT:
You can adapt your current Vite configuration by adding the define
property to pass the environment variables, such as your Google Service Account Key, as follows:
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
export default defineConfig({
plugins: [react()],
resolve: {
alias: [{ find: "@", replacement: "/src" }],
},
define: {
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY': JSON.stringify(process.env.GOOGLE_SERVICE_ACCOUNT_KEY),
},
});
This configuration will make the GOOGLE_SERVICE_ACCOUNT_KEY
environment variable available to your frontend app through process.env.GOOGLE_SERVICE_ACCOUNT_KEY
.
Human: Web search results:
[1] "Using Environment Variables in Config . Environmental Variables can be obtained from p rocess.env as usual.. Note that Vite doesn't load .env files by default as the files to load can only be determined after evaluating the Vite config, for example, the root and envDir options affect the loading behaviour. However, you can use the exported loadEnv helper to load the specific .env file if needed."
URL: https://vitejs.dev/config/
[2] "IntelliJ IDEA integrates with the Vite build tool that improves the frontend development experience. Vite consists of a dev server and a build command. The build server serves your source files over native ES modules. The build command bundles your code with Rollup, which is pre-configured to output highly optimized static assets for production."
URL: https://www.jetbrains.com/help/idea/vite.html
[3] "Another solution that worked for me is to manually call dotenv.config() inside the vite.config.js.That will load variables from .env (all of them!) into process.env:. import { defineConfig } from 'vite' import dotenv from 'dotenv' dotenv.config() // load env vars from .env export default defineConfig({ define: { __VALUE__: `"${process.env.VALUE}"` // wrapping in "" since it's a string }, //...."
URL: https://stackoverflow.com/questions/70709987/how-to-load-environment-variables-from-env-file-using-vite
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: based on our vite configuration from previous answer, adapt it to this new vite config which takes into account multiple environemnts: import { defineConfig, loadEnv } from 'vite';
import dotenv from 'dotenv';
export default defineConfig(({ mode }) => {
const env = loadEnv(mode, process.cwd(), '');
dotenv.config({ path: `.env.${mode}` });
return {
define: {
'process.env.REACT_APP_AUTH_MODE': JSON.stringify(env.REACT_APP_AUTH_MODE),
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED': JSON.stringify(env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED),
},
// ...rest of Vite config
};
});
ChatGPT:
Here's the adapted Vite configuration that takes into account multiple environments and combines your previous configuration:
import { defineConfig, loadEnv } from 'vite';
import react from '@vitejs/plugin-react';
import dotenv from 'dotenv';
export default defineConfig(({ mode }) => {
const env = loadEnv(mode, process.cwd(), '');
dotenv.config({ path: `.env.${mode}` });
return {
plugins: [react()],
resolve: {
alias: [{ find: '@', replacement: '/src' }],
},
define: {
'process.env.REACT_APP_AUTH_MODE': JSON.stringify(env.REACT_APP_AUTH_MODE),
'process.env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED': JSON.stringify(env.GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED),
},
};
});
This Vite configuration loads environment variables based on the mode
parameter, combining your previous Vite configuration and the new configuration to support multiple environments. The loadEnv
function and the dotenv
package are used to load the correct .env
file based on the current environment. The environment variables are then made available in your frontend app through the define
property.
Human: Web search results:
[1] "Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers."
URL: https://stackoverflow.com/questions/67838142/google-auth-with-node-js-using-typescript-and-promise-syntax
[2] "Your answer could be improved with additional supporting information. Please edit to add further details, such as citations or documentation, so that others can confirm that your answer is correct. You can find more information on how to write good answers in the help center. -"
URL: https://stackoverflow.com/questions/70620482/google-login-react-with-typescript
[3] "To setup your react project from scratch, you can use create-react-app by running the following command in your cli: npx create-react-app hooksAuth --template typescript. The next (optional) step is to remove all the boilerpate content from your React App. e.g. react images, manifest, App.tsx content etc. This helps me to start from a cleaner ..."
URL: https://dev.to/bmpickford/firebase-auth-with-react-hooks-in-typescript-44b7
Current date: 4/26/2023
Instructions: Using the provided web search results, write a comprehensive reply to the given query. Make sure to cite results using [[number](URL)] notation after the reference. If the provided search results refer to multiple subjects with the same name, write separate answers for each subject.
Query: Adapt the previous answer which makes the authentication call to google in typescript with react. Also write the full function to decode the value from base64 of the GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED env variable to what is needed in order to obtain the auth token. Then write the function to cache the token using crypto library. All this is in react, typescript.
ChatGPT:
Unfortunately, the provided web search results do not directly address your query regarding making the authentication call to Google, decoding the base64 value of the GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED
environment variable, or caching the token using the crypto library in React and TypeScript.
However, I can provide you with a general outline of how you can approach this problem in a React and TypeScript application:
Create a new React component or a custom hook that will handle the authentication process.
Write a function to decode the base64-encoded value of the GOOGLE_SERVICE_ACCOUNT_KEY_ENCODED
environment variable:
function decodeServiceAccountKey(encodedKey: string): string {
return Buffer.from(encodedKey, 'base64').toString('utf8');
}
Write the authentication function that calls the Google API, which may require you to use the Google APIs client library for JavaScript (e.g., googleapis
). Use the decoded service account key from step 2 in this function.
Write a function to cache the token using the crypto library. The crypto library is a built-in Node.js module, and you may need to use an alternative library specifically designed for the browser environment, such as crypto-js
or crypto-browserify
.
Incorporate the functions you've written in step 2, 3, and 4 into your React component or custom hook.
Please note that without more specific information and context, it is difficult to provide a more detailed answer. You may want to consider refining your search queries or providing additional details regarding your requirements for further assistance.