qw-gallery-scenery/pages/reverse_search.tsx
2020-12-10 22:34:05 +03:00

121 lines
4.0 KiB
TypeScript

/* eslint-disable @typescript-eslint/no-explicit-any */
import React, { useEffect, useState } from 'react';
import Box from '@material-ui/core/Box';
import AppBar from '../components/AppBar'
import { DropzoneAreaBase } from 'material-ui-dropzone';
import Button from '@material-ui/core/Button';
import config from '../config/config'
import axios from "axios"
import { useRouter } from 'next/router'
import Backdrop from '@material-ui/core/Backdrop';
import CircularProgress from '@material-ui/core/CircularProgress';
import { makeStyles } from '@material-ui/core/styles';
import TextField from '@material-ui/core/TextField';
const useStyles = makeStyles(() => ({
backdrop: {
zIndex: 9999,
color: '#fff',
},
url_div:{
display:"flex",
marginLeft:"10px",
marginBottom:"10px"
},
url_text_field:{
width:"300px",
marginRight:"10px"
}
}));
export default function ReverseSearch() {
const classes = useStyles();
const router = useRouter()
const [url, setUrl] = useState("");
const [fileObjects, setFileObjects] = useState([]);
const [open, setOpen] = useState(false);
const send_image = (token: string,mode:string) => {
setOpen(true)
const formData = new FormData();
formData.append("image", fileObjects[0].file);
formData.append("g-recaptcha-response", token);
formData.append("mode", mode);
axios(`${config.reverse_search_url}/reverse_search`, {
method: "post",
data: formData,
headers: {
'Content-Type': 'multipart/form-data'
},
timeout:5*60000 //5min
}).then((resp) => {
setOpen(false)
console.log(resp.data.ids)
router.push("/show?ids=" + resp.data.ids)
}).catch((err) => {
setOpen(false)
console.log(err)
})
}
const _send_image = (mode:string) => {
/*global grecaptcha*/ // defined in pages/_document.tsx
grecaptcha.ready(function () {
grecaptcha.execute(config.recaptcha_site_key, { action: 'reverse_search' }).then(function (token) {
send_image(token,mode)
});
})
}
const get_image_by_url= async ()=>{
setOpen(true)
try{
const x =await axios.get(url,{responseType:"blob"})
setOpen(false)
const file = new File([x.data], "image.png", {type:"image/png"});
const reader = new FileReader();
reader.readAsDataURL(x.data);
reader.onloadend = function () {
const base64data = reader.result;
setFileObjects( ([{data:base64data,file:file}]) as any)
return;
}
}catch(err){
setOpen(false)
alert("error")
}
}
return (
<div>
<AppBar />
<Backdrop className={classes.backdrop} open={open}>
<CircularProgress color="inherit" />
</Backdrop>
<Box my={4}>
<div className={classes.url_div}>
<TextField onChange={(e)=>setUrl(e.target.value)} value={url} className={classes.url_text_field} label="url" variant="outlined" size="small" />
<Button onClick={get_image_by_url} size="small" variant="outlined">Fetch</Button>
</div>
<DropzoneAreaBase
acceptedFiles={['image/png', 'image/jpg', 'image/jpeg']}
dropzoneText={"Drag and drop an image here or click"}
fileObjects={fileObjects}
filesLimit={1}
onAdd={(newFileObjs:any) => {
console.log(newFileObjs)
console.log('onAdd', newFileObjs);
setFileObjects([].concat(newFileObjs[0]));
}}
onDelete={(_removedFileObj, removedFileObjIdx) => {
const remainingFileObjs = fileObjects.filter((_fileObject, i) => {
return i !== removedFileObjIdx;
});
setFileObjects(remainingFileObjs)
}}
maxFileSize={49000000}
/>
</Box>
<Button onClick={() => { _send_image("1") }} variant="contained" color="primary" >Reverse Search (fast, less accurate)</Button>
<div style={{marginTop:"10px"}}><Button onClick={() => { _send_image("2") }} variant="contained" color="primary" >Reverse Search (slow, more accurate)</Button></div>
</div>
);
}