如何使用gatsby-image查询多个图像? [英] How do I query multiple images with gatsby-image?

问题描述

我想将16张图像以网格格式渲染到网站上.

I have 16 images that I want to render out onto a website in a grid format.

我为此使用了以下插件:

I'm using the following plugins for this:

• gatsby-image
• gatsby-source-filesystem
• gatsby-plugin-sharp
• gatsby-transformer-sharp

• gatsby-image
• gatsby-source-filesystem
• gatsby-plugin-sharp
• gatsby-transformer-sharp

我阅读了文档，据我所知，它仅演示了如何查询一张图像.

I read the documentation and as for as I know, it only demonstrated how to query for one single image.

例如

import React from "react"
import { graphql } from "gatsby"
import Img from "gatsby-image"

export default ({ data }) => (
  <div>
    <h1>Hello gatsby-image</h1>
    <Img fixed={data.file.childImageSharp.fixed} />
  </div>
)

export const query = graphql`
  query {
    file(relativePath: { eq: "blog/avatars/kyle-mathews.jpeg" }) {
      childImageSharp {
        # Specify the image processing specifications right in the query.
        # Makes it trivial to update as your page's design changes.
        fixed(width: 125, height: 125) {
          ...GatsbyImageSharpFixed
        }
      }
    }
  }
`

但是如果我有16张图像，我将如何处理?编写16个独立的查询似乎很麻烦，将来也很难阅读.

But how would I go about this if I had 16 images? Writing 16 separate queries seem rather cumbersome and would be difficult to read in the future.

我在文档中看到了引用多个图像的代码，但是尝试访问图像本身遇到了麻烦.

I saw this code in the docs referencing multiple images, but I have trouble trying to access the images themselves.

例如

export const squareImage = graphql`
  fragment squareImage on File {
    childImageSharp {
      fluid(maxWidth: 200, maxHeight: 200) {
        ...GatsbyImageSharpFluid
      }
    }
  }
`

export const query = graphql`
  query {
    image1: file(relativePath: { eq: "images/image1.jpg" }) {
      ...squareImage
    }

    image2: file(relativePath: { eq: "images/image2.jpg" }) {
      ...squareImage
    }

    image3: file(relativePath: { eq: "images/image3.jpg" }) {
      ...squareImage
    }
  }
`

我的文件夹结构如下:

-package.json

---package.json

-src

------图像

---------这16张图片

---------the 16 images

------页面

---------我要在其中渲染16张图像的页面

---------the page where I want to render the 16 images in

等

谢谢.

推荐答案

在GraphiQL中戳一戳可能会帮助您，尤其是Explorer.尽管请记住，盖茨比片段在GraphiQL中不起作用.

Having a poke around in GraphiQL should help you, especially the Explorer. Although remember that Gatsby fragments won't work in GraphiQL.

{
  allImageSharp {
    edges {
      node {
        id
        fluid(maxWidth: 200, maxHeight: 200) {
            ...GatsbyImageSharpFluid
        }
      }
    }
  }
}

因此，上述内容应与类似以下查询的内容相同，该查询将在GraphiQL中工作

So the above should be equal to something like the following query which will work in GraphiQL

{
  allImageSharp {
    edges {
      node {
        id
        fluid(maxHeight: 200, maxWidth: 200) {
          src
          srcSet
          base64
          aspectRatio
          originalImg
          sizes        
        }
      }
    }
  }
}

然后，您的组件可以使用相同的查询并呈现如下结果:

Then your component can use this same query and render the results like this:

import React from "react"
import { graphql } from "gatsby"
import Img from "gatsby-image"

const imgGridStyle = {
  display: 'grid',
  gridTemplateColumns: `repeat(auto-fill, 200px)`
};

export default ({ data }) => (
  <div>
    <h1>Hello gatsby-image</h1>
    <div style={imgGridStyle}>
      {data.allImageSharp.edges.map(edge => 
        <Img fluid={edge.node.fluid} />
      )}
    </div>
  </div>
)

export const query = graphql`
  query {
    allImageSharp {
      edges {
        node {
          id
          fluid(maxWidth: 200, maxHeight: 200) {
            ...GatsbyImageSharpFluid
          }
        }
      }
    }
  }
`

您可以轻松循环遍历data.allImageSharp.edges.map中从查询返回的imageSharp节点的结果数组.然后将每个节点的fluid属性作为fluid属性传递给gatsby-image.

You can easily loop over the resulting array of imageSharp nodes returned from the query in data.allImageSharp.edges.map. Then pass each node's fluid property, as the fluid prop to gatsby-image.

注意:这将呈现项目中的每个 imageSharp节点，这可能是或可能不是您想要实现的.

Note: This renders every imageSharp node in your project, which may or may not be what you want to achieve.

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