On my NodeJS server I download an image that I need to embed in an email. My bucket is NOT public so just using the link will not work, as is not the solution I want for the requirements of either this question or the project.
I'm using a HTML email for this with something like:
<p>Embedded image: <img src="data:image/jpeg;charset=utf-8;base64,{{url}}" /></p>
So I download from S3
s3.getObject(
{ Bucket: "mybucket", Key: "mykey" },
function (error, data) {
if (error != null) {
console.log("Errror" + error)
} else {
console.log("Loaded " + data.ContentLength + " bytes")
and then I'm trying to convert data.body to UTF-8 base 64
I thought something like
"data:image/png;base64," + new String(encoder.encode(data.body), "UTF-8")
But it doesn't seem to work, and I'm struggling to define encoder to be able to do this.
Make sure you are getting image data in data.Body. I think data.Body already a buffer and you can construct src URL as bellow:
// Convert Body from a Buffer to a String
let base64String= data.Body.toString('base64');
let src = "data:image/jpeg;base64,"+base64String;
if you store s3 bucket object in binary format, to received it and convert it to base64 can be done:
const blobToBase64 = (blob) => {
const reader = new FileReader()
reader.readAsDataURL(blob)
return new Promise((rs, rj) => {
reader.onloadend = () => {
rs(reader.result)
}
reader.onerror = rj
})
}
function useImage({s3Link}) {
const [src, setSrc] = React.useState(null)
React.useEffect(() => {
async function query({link}) {
//link is link to s3 bucket URL link e.g
// const link = s3.getSignedUrl('getObject', {
// Bucket: bucketnamw,
// Key: key,
// Expires: 30,
// })
const r = await fetch(link)
const blob = await r.blob()
const base64 = await blobToBase64(blob)
console.log(`base64!`, base64)
setSrc(base64)
}
if (s3Link) {
query({link: s3Link})
}
}, [s3Link, setSrc])
return [{src}]
}
Related
I'm trying encode an image to base64, (so I can later send it this way to a backend server). Everything seems to work until I use JSON.stringify() on the object that has the encoded image in it.
I think It gets lost in the JSON.stringify() and I can't seem to find a solution. I've been working for weeks on this issue and I couldn't find an answer anywhere. Please help!
const [baseImage, setBaseImage] = useState('');
const [baseImageCorrect, setBaseImageCorrect] = useState('');
const convertBase64 = (file) => {
return new Promise((resolve, reject) => {
const fileReader = new FileReader();
fileReader.readAsDataURL(file);
fileReader.onload = () => {
resolve(fileReader.result);
};
fileReader.onerror = (error) => {
reject(error);
console.log(error);
};
});
};
const uploadImage = async (e) => {
const file = e.target.files[0];
const base64 = await convertBase64(file);
const base64RemovedType = base64.split(',')[1];
setBaseImage(`${base64RemovedType}`);
};
useEffect(() => {
setBaseImageCorrect(baseImage);
console.log('current:' + baseImageCorrect);
//prints out a long string with the RIGHT information
}, [baseImage, baseImageCorrect]);
const EncodedImage = JSON.stringify({
fileBase64: (baseImageCorrect, { encoding: 'base64' }),
});
console.log(EncodedImage)
//PRINTS THIS: "fileBase64":{"encoding":"base64"}} , without the encoded image string
I am assuming u need the key baseImageCorrect and encoding key at the same level.
Use this instead:
const EncodedImage = JSON.stringify({
fileBase64: {baseImageCorrect, encoding: 'base64' },
});
Background
Javascript library for Microsoft Office add-ins allows you to get raw content of the DOCX file through getFileAsync() api, which returns a slice of up to 4MB in one go. You keep calling the function using a sliding window approach till you have reed entire content. I need to upload these slices to the server and the join them back to recreate the original DOCX file.
My attempt
I'm using axios on the client-side and busboy-based express-chunked-file-upload middleware on my node server. As I call getFileAsync recursively, I get a raw array of bytes that I then convert to a Blob and append to FormData before posting it to the node server. The entire thing works and I get the slice on the server. However, the chunk that gets written to the disk on the server is much larger than the blob I uploaded, normally of the order of 3 times, so it is obviously not getting what I sent.
My suspicion is that this may have to do with stream encoding, but the node middleware does not expose any options to set encoding.
Here is the current state of code:
Client-side
public sendActiveDocument(uploadAs: string, sliceSize: number): Promise<boolean> {
return new Promise<boolean>((resolve) => {
Office.context.document.getFileAsync(Office.FileType.Compressed,
{ sliceSize: sliceSize },
async (result) => {
if (result.status == Office.AsyncResultStatus.Succeeded) {
// Get the File object from the result.
const myFile = result.value;
const state = {
file: myFile,
filename: uploadAs,
counter: 0,
sliceCount: myFile.sliceCount,
chunkSize: sliceSize
} as getFileState;
console.log("Getting file of " + myFile.size + " bytes");
const hash = makeId(12)
this.getSlice(state, hash).then(resolve(true))
} else {
resolve(false)
}
})
})
}
private async getSlice(state: getFileState, fileHash: string): Promise<boolean> {
const result = await this.getSliceAsyncPromise(state.file, state.counter)
if (result.status == Office.AsyncResultStatus.Succeeded) {
const data = result.value.data;
if (data) {
const formData = new FormData();
formData.append("file", new Blob([data]), state.filename);
const boundary = makeId(12);
const start = state.counter * state.chunkSize
const end = (state.counter + 1) * state.chunkSize
const total = state.file.size
return await Axios.post('/upload', formData, {
headers: {
"Content-Type": `multipart/form-data; boundary=${boundary}`,
"file-chunk-id": fileHash,
"file-chunk-size": state.chunkSize,
"Content-Range": 'bytes ' + start + '-' + end + '/' + total,
},
}).then(async res => {
if (res.status === 200) {
state.counter++;
if (state.counter < state.sliceCount) {
return await this.getSlice(state, fileHash);
}
else {
this.closeFile(state);
return true
}
}
else {
return false
}
}).catch(err => {
console.log(err)
this.closeFile(state)
return false
})
} else {
return false
}
}
else {
console.log(result.status);
return false
}
}
private getSliceAsyncPromise(file: Office.File, sliceNumber: number): Promise<Office.AsyncResult<Office.Slice>> {
return new Promise(function (resolve) {
file.getSliceAsync(sliceNumber, result => resolve(result))
})
}
Server-side
This code is totally from the npm package (link above), so I'm not supposed to change anything in here, but still for reference:
makeMiddleware = () => {
return (req, res, next) => {
const busboy = new Busboy({ headers: req.headers });
busboy.on('file', (fieldName, file, filename, _0, _1) => {
if (this.fileField !== fieldName) { // Current field is not handled.
return next();
}
const chunkSize = req.headers[this.chunkSizeHeader] || 500000; // Default: 500Kb.
const chunkId = req.headers[this.chunkIdHeader] || 'unique-file-id'; // If not specified, will reuse same chunk id.
// NOTE: Using the same chunk id for multiple file uploads in parallel will corrupt the result.
const contentRangeHeader = req.headers['content-range'];
let contentRange;
const errorMessage = util.format(
'Invalid Content-Range header: %s', contentRangeHeader
);
try {
contentRange = parse(contentRangeHeader);
} catch (err) {
return next(new Error(errorMessage));
}
if (!contentRange) {
return next(new Error(errorMessage));
}
const part = contentRange.start / chunkSize;
const partFilename = util.format('%i.part', part);
const tmpDir = util.format('/tmp/%s', chunkId);
this._makeSureDirExists(tmpDir);
const partPath = path.join(tmpDir, partFilename);
const writableStream = fs.createWriteStream(partPath);
file.pipe(writableStream);
file.on('end', () => {
req.filePart = part;
if (this._isLastPart(contentRange)) {
req.isLastPart = true;
this._buildOriginalFile(chunkId, chunkSize, contentRange, filename).then(() => {
next();
}).catch(_ => {
const errorMessage = 'Failed merging parts.';
next(new Error(errorMessage));
});
} else {
req.isLastPart = false;
next();
}
});
});
req.pipe(busboy);
};
}
Update
So it looks like I have found the problem at least. busboy appears to be writing my array of bytes as text in the output file. I get 80,75,3,4,20,0,6,0,8,0,0,0,33,0,44,25 (as text) when I upload the array of bytes [80,75,3,4,20,0,6,0,8,0,0,0,33,0,44,25]. Now need to figure out how to force it to write it as a binary stream.
Figured out. Just in case it helps anyone, there was no problem with busboy or office.js or axios. I just had to convert the incoming chunk of data to Uint8Array before creating a blob from it. So instead of:
formData.append("file", new Blob([data]), state.filename);
like this:
const blob = new Blob([ new Uint8Array(data) ])
formData.append("file", blob, state.filename);
And it worked like a charm.
I was trying to create an API endpoint for rotating images uploaded from client side. I'm sending images as base64 type, converted from blob (from simple <input tag), as follows:
const addImageBase64 = async (fileData) => {
const file = fileData;
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = (event) => {
resolve(event.target.result);
};
reader.onerror = (err) => {
reject(err);
};
reader.readAsDataURL(file);
});
};
Then, on the server side, that's how the endpoint looks like:
app.post("/api/rotate-image", async (req, res) => {
try {
let buffer = Buffer.from(req.body.imageData, "base64"); //not working
let array = new Uint8Array(buffer); //not working
const image = await sharp(buffer)
.rotate(180)
.png({ quality: 100 })
.toBuffer();
console.log("success");
res.status(200).send({
success: true,
result: image,
});
} catch (e) {
console.warn(e);
}
});
And here, every my attempt is ending up with '[Error: Input buffer contains unsupported image format]' - either for Buffer or Uint8Array. Can anyone help me with this issue? What is the right input type for Sharp that acctually works?
Edit:
Error with logged buffer obj:
Hi I want to upload a image to the firebase storage by cloud function below is my code where its showing in the bucket but with broken image.Thanks in advance.
var base64EncodedImageString = driverDetails.profilePhoto,
mimeType = 'image/jpeg',
fileName = 'Thumbnail64.jpg';
const imageBuffer = new Buffer(base64EncodedImageString, 'base64');
var bucket = admin.storage().bucket();
var file = bucket.file('profile-imagesss/' + fileName);
file.save(imageBuffer, {
metadata: { contentType: mimeType },
})
where driverDetails.profilePhoto is the base64 image sending on body like data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAA
The first challenge with your code is
const imageBuffer = new Buffer(base64EncodedImageString, 'base64');
Use this instead
const imageBuffer = Buffer.from(base64EncodedImageString, 'base64');
Secondly, you are creating a buffer from the base64 data with the mime data so to speak.
Finally, you have not given a token metadata
The code below works
const { photo } = data
const { nanoid } = require("nanoid")
const filename = nanoid() + '.jpg'
const getBase64MimeType = encoded => {
let result = null
if (typeof encoded !== 'string') {
return result
}
const mime = encoded.match(/data:([a-zA-Z0-9]+\/[a-zA-Z0-9-.+]+).*,.*/)
if (mime && mime.length) {
result = mime[1]
}
return result
}
const getBase64Data = encoded => {
const base64EncodedString = encoded.replace(/^data:\w+\/\w+;base64,/,'')
return base64EncodedString
}
const contentType = getBase64MimeType(photo)
const photoData = getBase64Data(photo)
const fileBuffer = Buffer.from(photoData,"base64")
const bucket = admin.storage().bucket()
const token = nanoid()
const options = {
metadata: {
contentType,
metadata: {
firebaseStorageDownloadTokens: token,
}
},
}
const filePath = 'membership/' + filename
const file = bucket.file(filePath)
await file.save(fileBuffer,options)
Problem
I am trying to create an app with react native and firebase. One of the features I would like for this app is the ability to upload images. I am having some trouble uploading the images to firebase storage though. I am using expo's image picker to find the path of the image that the user wants to upload, but once I have the path I don't know how to convert that to something I can upload to firebase.
Can somebody help me convert the path of an image to something I can upload to firebase storage with react native?
What I've tried
I tried using:
_pickImage = async () => {
let result = await ImagePicker.launchImageLibraryAsync({
MediaTypeOptions: 'Images',
quality: 0.4,
_uploadAsByteArray = async (pickerResultAsByteArray, progressCallback) => {
try {
var metadata = {
contentType: 'image/jpeg',
};
var storageRef = firebase.storage().ref();
var ref = storageRef.child('images/'+expoID+'/'+this.state.time)
let uploadTask = ref.put(pickerResultAsByteArray, metadata)
uploadTask.on('state_changed', function (snapshot) {
progressCallback && progressCallback(snapshot.bytesTransferred / snapshot.totalBytes)
var progress = (snapshot.bytesTransferred / snapshot.totalBytes) * 100;
console.log('Upload is ' + progress + '% done');
}, function (error) {
console.log("in _uploadAsByteArray ", error)
}, function () {
var downloadURL = uploadTask.snapshot.downloadURL;
console.log("_uploadAsByteArray ", uploadTask.snapshot.downloadURL)
this.setState({imageUploaded:true})
});
} catch (ee) {
console.log("when trying to load _uploadAsByteArray ", ee)
}
}
convertToByteArray = (input) => {
var binary_string = this.atob(input);
var len = binary_string.length;
var bytes = new Uint8Array(len);
for (var i = 0; i < len; i++) {
bytes[i] = binary_string.charCodeAt(i);
}
return bytes
}
atob = (input) => {
const chars = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=';
let str = input.replace(/=+$/, '');
let output = '';
if (str.length % 4 == 1) {
throw new Error("'atob' failed: The string to be decoded is not correctly encoded.");
}
for (let bc = 0, bs = 0, buffer, i = 0;
buffer = str.charAt(i++);
~buffer && (bs = bc % 4 ? bs * 64 + buffer : buffer,
bc++ % 4) ? output += String.fromCharCode(255 & bs >> (-2 * bc & 6)) : 0
) {
buffer = chars.indexOf(buffer);
}
return output;
}
uploadImage(bsfdata){
this.setState({imageUploaded:false})
this._uploadAsByteArray(this.convertToByteArray(bsfdata), (progress) => {
this.setState({ progress:progress })
})
}
base64:true,
});
/* if (!result.cancelled) {
this.setState({ image: result.uri });
let formData = new FormData();
formData.append('photo', {
uri,
name: `photo.${fileType}`,
type: `image/${fileType}`,
});}*/
this.uploadImage(result.base64);
};
}
I've tried it with the commented code added, which doesn't upload anything, and I've tried it with how the code is now, which gives me the error Can currently only create a Blob from other Blobs, and the uploading progress never gets above 0%.
If you are using expo (>=26), then you can do it easily with the following lines of code.
uploadImage = async(imageUri) => {
const response = await fetch(imageUri);
const blob = await response.blob();
var ref = firebase.storage().ref().child("image.jpg");
return ref.put(blob);
}
Reference: https://youtu.be/KkZckepfm2Q
Refer this link - https://github.com/dailydrip/react-native-firebase-storage/blob/master/src/App.js#L43-L69
Following block of code is working fine.
uploadImage(uri, mime = 'application/octet-stream') {
return new Promise((resolve, reject) => {
const uploadUri = Platform.OS === 'ios' ? uri.replace('file://', '') : uri
let uploadBlob = null
const imageRef = FirebaseClient.storage().ref('images').child('image_001')
fs.readFile(uploadUri, 'base64')
.then((data) => {
return Blob.build(data, { type: `${mime};BASE64` })
})
.then((blob) => {
uploadBlob = blob
return imageRef.put(blob, { contentType: mime })
})
.then(() => {
uploadBlob.close()
return imageRef.getDownloadURL()
})
.then((url) => {
resolve(url)
})
.catch((error) => {
reject(error)
})
})
}
You need to install rn-fetch-blob module:
npm install --save rn-fetch-blob
Then, do the following:
import RNFetchBlob from 'rn-fetch-blob';
const Blob = RNFetchBlob.polyfill.Blob;
const fs = RNFetchBlob.fs;
window.XMLHttpRequest = RNFetchBlob.polyfill.XMLHttpRequest;
window.Blob = Blob;
function uploadImage(path) {
const imageFile = RNFetchBlob.wrap(path);
// 'path/to/image' is where you wish to put your image in
// the database, if you would like to put it in the folder
// 'subfolder' inside 'mainFolder' and name it 'myImage', just
// replace it with 'mainFolder/subfolder/myImage'
const ref = firebase.storage().ref('path/to/image');
var uploadBlob = null;
Blob.build(imageFile, { type: 'image/jpg;' })
.then((imageBlob) => {
uploadBlob = imageBlob;
return ref.put(imageBlob, { contentType: 'image/jpg' });
})
.then(() => {
uploadBlob.close();
return ref.getDownloadURL();
})
.((url) => {
// do something with the url if you wish to
})
.catch(() => {
dispatch({
type: UPDATE_PROFILE_INFO_FAIL,
payload: 'Unable to upload profile picture, please try again'
});
});
}
Please do ask if there's any part of the code that you don't understand. To upload multiple images, simply wrap this code with a for loop. Or if you want to make sure that every image is uploaded without any error, use Promise
Not sure whom this might help, but if you're using MediaLibrary to load images from the gallery, then the uri comes in the format of uri = file:///storage/emulated/0/DCIM/Camera/filename.jpg
In this case, using fetch(uri) didn't help me get the blob.
But if you use fetch(uri.replace("file:///","file:/")) and then follow #sriteja Sugoor's answer, you'll be able to upload the file blob.
const Blob = RNFetchBlob.polyfill.Blob;
const fs = RNFetchBlob.fs;
let uploadBlob;
await fs
.readFile(params?.file.path, 'base64')
.then((data) => {
return Blob.build(data, {type: `BASE64`});
})
.then((blob) => {
uploadBlob = blob;
console.log(uploadBlob, 'uploadBlob');
});