serverless & client
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@ -153,3 +153,4 @@ cython_debug/
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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*.pdf
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@ -5,4 +5,9 @@
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- clone lambda.py code into your lambda trigger
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- Add S3 bucket to your Lambda Trigger
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- Add invoice to your bucket
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- Enjoy!
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- Enjoy!
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## Application based on double requests:
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- PUT https://9kpwan8769.execute-api.us-east-1.amazonaws.com/textract/{bucket-name}/{file-name} to send file to S3 and trigger serverless Textract
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- GET https://gp1q182wu2.execute-api.us-east-1.amazonaws.com/read to read textract result from database
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@ -1,176 +1,25 @@
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<!DOCTYPE html>
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<html>
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<head>
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<title>Upload file to S3</title>
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<script src="https://unpkg.com/vue@1.0.28/dist/vue.js"></script>
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<script src="https://unpkg.com/axios@0.2.1/dist/axios.min.js"></script>
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</head>
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<body>
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<div id="app">
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<h1>S3 Uploader Test</h1>
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<div v-if="!image">
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<h2>Select an image</h2>
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<input type="file" @change="onFileChange" accept="image/jpeg">
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</div>
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<div v-else>
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<img :src="image" />
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<button v-if="!uploadURL" @click="removeImage">Remove image</button>
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<button v-if="!uploadURL" @click="s3Upload">Upload image</button>
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</div>
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<h2 v-if="uploadURL">Success! Image uploaded to bucket.</h2>
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</div>
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<html lang="en">
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<head>
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<script>
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async function parse(){
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document.getElementById("result").innerHTML = "Dodawanie pliku..."
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var data = new FormData()
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data.append('file', document.getElementById("docpicker").files[0])
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document.getElementById("result").innerHTML = "Przetwarzanie faktury ... "
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1.24.min.js"></script>
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<script type="text/javascript" src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
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resp = await fetch('https://9kpwan8769.execute-api.us-east-1.amazonaws.com/textract/bucket-textract-s478874/prod.pdf', {method: "PUT", body: data})
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document.getElementById("result").innerHTML = "Info"
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data = await resp.json()
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<script>
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const MAX_IMAGE_SIZE = 1000000
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const bucketName = "textract-input-s478874";
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const bucketRegion = "us-east-1";
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const IdentityPoolId = "LabRole";
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AWS.config.update({
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region: bucketRegion,
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credentials: new AWS.CognitoIdentityCredentials({
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IdentityPoolId: IdentityPoolId
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})
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});
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var s3 = new AWS.S3({
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apiVersion: "2006-03-01",
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params: { Bucket: bucketName }
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});
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new Vue({
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el: "#app",
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data: {
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image: '',
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uploadURL: ''
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},
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methods: {
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onFileChange (e) {
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let files = e.target.files || e.dataTransfer.files
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if (!files.length) return
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this.createImage(files[0])
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},
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createImage (file) {
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// var image = new Image()
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let reader = new FileReader()
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reader.onload = (e) => {
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console.log('length: ', e.target.result.includes('pdf'))
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if (!e.target.result.includes('pdf')) {
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return alert('Wrong file type - PDF only.')
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}
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if (e.target.result.length > MAX_IMAGE_SIZE) {
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return alert('Image is loo large.')
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}
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this.image = e.target.result
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resp_db = await fetch('https://gp1q182wu2.execute-api.us-east-1.amazonaws.com/read', {method: "GET", body: data_db})
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var result = JSON.stringify(data_db)
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document.getElementById("result").innerHTML = result
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}
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reader.readAsDataURL(file)
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},
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removeImage: function (e) {
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console.log('Remove clicked')
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this.image = ''
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},
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s3Upload: async function (e) {
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console.log("new shit");
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let file = this.image;
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let fileName = file.name;
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let s3 = new window.AWS.S3({
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credentials: new window.AWS.Credentials({
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apiVersion: 'latest',
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region: bucketRegion,
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Bucket: bucketName
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})
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});
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let uploadItem = await s3.upload({
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Bucket: bucketName,
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Key: fileName,
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ContentType: file.type,
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Body: file
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});
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console.log("uploadItem=>", uploadItem)
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// return uploadItem;
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// let upload = new AWS.S3.ManagedUpload({
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// params: {
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// Bucket: bucketName,
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// Key: fileName,
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// Body: file
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// }
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// });
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},
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uploadImage: async function (e) {
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console.log('Upload clicked')
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// Get the presigned URL
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const response = await axios({
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method: 'GET',
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url: API_ENDPOINT
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})
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console.log('Response: ', response)
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console.log('Uploading: ', this.image)
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let binary = atob(this.image.split(',')[1])
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let array = []
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for (var i = 0; i < binary.length; i++) {
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array.push(binary.charCodeAt(i))
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}
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let blobData = new Blob([new Uint8Array(array)], {type: 'image/jpeg'})
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console.log('Uploading to: ', response.uploadURL)
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const result = await fetch(response.uploadURL, {
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method: 'PUT',
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body: blobData
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})
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console.log('Result: ', result)
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// Final URL for the user doesn't need the query string params
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this.uploadURL = response.uploadURL.split('?')[0]
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}
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}
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})
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</script>
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<style type="text/css">
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body {
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background: #20262E;
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padding: 20px;
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font-family: sans-serif;
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}
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#app {
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background: #fff;
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border-radius: 4px;
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padding: 20px;
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transition: all 0.2s;
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text-align: center;
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}
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#logo {
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width: 100px;
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}
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h2 {
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font-weight: bold;
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margin-bottom: 15px;
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}
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h1, h2 {
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font-weight: normal;
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margin-bottom: 15px;
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}
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a {
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color: #42b983;
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}
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img {
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width: 30%;
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margin: auto;
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display: block;
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margin-bottom: 10px;
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}
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</style>
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</body>
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</script>
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<title>Chmura</title>
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</head>
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<body>
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<input type="file" id="docpicker" accept=".pdf" onchange="parse()" />
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<p id="result"></p>
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</body>
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</html>
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@ -2,6 +2,7 @@ import boto3
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from collections import defaultdict
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from urllib.parse import unquote_plus
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import json
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import base64
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def print_labels_and_values(field, keys):
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if "LabelDetection" in field and "ValueDetection" in field:
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@ -42,4 +43,12 @@ def lambda_handler(event, context):
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table = dynamodb.Table('texttract-s478874')
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table.put_item(Item=invoice_data)
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table.put_item(Item=invoice_data)
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responseObj = {}
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responseObj['statusCode'] = 200
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responseObj['headers'] = {}
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responseObj['body'] = json.dumps(invoice_data)
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return responseObj
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