Pyrebase sending profile pic in json - python

I am creating user accounts using prebase auth.create_user_with_email_and_password. Then I am storing the users' data in firebase realtime database. db.child("users").push("data") where data= {"name": name, "email" : email, "password": password, "picture": picture}.
here picture is; picture = request.files['file']
But I am not able to send picture alongwith other data of user, image can not be sent in json object.
How can we upload picture, there are some solutions to upload image data but I want to send it alngwith other data so it may get stored with the other attributes of user data.

I would suggest two approches you could use:
Solution 1:
You could store your images in file system in any directory (i.e img_dir) and renaming it to ensure the name is unique. (i usually use a timestamp prefix) (myimage_20210101.jpg).Now you can store this name in a DataBase. Then, while generating the JSON, you pull this filename ,generating a complete URL (http://myurl.com/img_dir/myimage_20210101.jpg) and then you can insert it into the JSON.
Solution 2:
Encode the image with Base 64 Encoding and decode it while fetching.
Remember to convert to string first by calling .decode(), since you can't JSON-serialize a bytes without knowing its encoding.
That's because base64.b64encode returns bytes, not strings.
import base64
encoded_= base64.b64encode(img_file.read()).decode('utf-8')
How to save an encoded64 image?
my_picture= 'data:image/jpeg;base64,/9j/4AAQSkZJRgAB............'
You'll need to decode the picture from base64 first, and then save it to a file:
import base64
# Separate the metadata from the image data
head, data = my_picture.split(',', 1)
# Decode the image data
plain_image = base64.b64decode(data)
# Write the image to a file
with open('image.jpg', 'wb') as f:
f.write(plain_image)

Related

Save the API response (Json format ) as image file locally to system

Below is the api response im getting :::
{"contentType":"image/jpeg","createdTime":"2021-10-10T11:00:47.000Z","fileName":"Passport_Chris J Passport Color - pp.jpg","id":10144,"size":105499,"updatedTime":"2021-10-10T11:00:47.000Z","links":[{"rel":"self","href":"https://dafzprod.custhelp.com/services/rest/connect/v1.4/CompanyRegd.ManagerDetails/43/FileAttachments/10144?download="},{"rel":"canonical","href":"https://dafzprod.custhelp.com/services/rest/connect/v1.4/CompanyRegd.ManagerDetails/43/FileAttachments/10144"},{"rel":"describedby","href":"https://dafzprod.custhelp.com/services/rest/connect/v1.4/metadata-catalog/CompanyRegd.ManagerDetails/FileAttachments","mediaType":"application/schema+json"}]}
i need to save this file as jpg format locally to my system? could you please provide me a solution through python
You might have to decode the JSON-string (if not already done):
import json
json_decoded = json.loads(json_string)
Afterwards you can get the URL to retrieve and the filename from this JSON-structure
url = json_decoded['links'][0]['href']
local_filename = json_decoded['fileName']
Now you can download the file and save it (as seen here How to save an image locally using Python whose URL address I already know?):
import urllib.request
urllib.request.urlretrieve(url, local_filename)

decoding base64 encoded image in Flask

My Flask app is receives base64 encoded images like so
`b'"{\\"image\\": \\"/9j/4AAQSkZJRgABAQEASABIAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyU...opHNf//Z\\", \\"id\\": \\"e3ad9809-b84c-57f1-bd03-a54e25c59bcc\\"}"'
I have tried a number of ways but I cannot seem to get the image bytes for decoding. If I json.loads this it becomes a string. If I treat it as a bytes dictionary it doesn't take the key and asks it to be an integer which will not work of course. I have tried many things, this is just one other which doesn't work. Any help is appreciated, Thanks.
def main():
try:
p = randint(100, 200)
image = request.data
jsonResponse = json.loads(image.decode('utf-8'))
im = base64.decode(jsonResponse)
print(im)
with open(f'Image{p}.jpg', 'wb') as f:
f.write(im)
If you use request context (from flask import request), then you can access the sended data as a python dictionary using the request.json attribute instead of the request.data.
To get the dictionary as you wish from the example you provided, a double call to json.loads solved the problem:
import json
data = b'"{\\"image\\": \\"/9j/4AAQSkZJRgABAQEASABIAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyU...opHNf//Z\\", \\"id\\": \\"e3ad9809-b84c-57f1-bd03-a54e25c59bcc\\"}"'
data_as_dictionary = json.loads(json.loads(data))
It seems like because your data has the leading " and the trailing ", json.loads is parsing it as a string (which is a valid json) and that's why you don't get the dictionary you want in the first call to json.loads.
import json
import base64
from codecs import encode
request = b'"{\\"image\\": \\"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\\", \\"id\\": \\"e3ad9809-b84c-57f1-bd03-a54e25c59bcc\\"}"'
data_as_dictionary = json.loads(json.loads(request.decode('utf-8')))
base64_img = data_as_dictionary['image']
bytes_img = encode(base64_img, 'utf-8')
binary_img = base64.decodebytes(bytes_img)
with open("imageToSave.jpg", "wb") as fh:
fh.write(binary_img)
you need several steps. first of all, you should transform request data into a python dictionary then take the image as base64 then encode it in bytes array then as binary, and last save it.
The above code works well.

Python - Decoding an image from json

Working with an api and the requests library.
Background info: creating a program to interop with an sms messaging platform. All responses from the api are provided in json. When working with the endpoint to obtain sms attachments, the response is in json and is basically a large block of encoded text.
I'm able to send the proper request to obtain the response I want, but I don't know what to do with the response.
How can I decode the json and work with the image file?
The complete response is too long to post here, but I imagine anything important is included in the beginning... I'm just unsure what to do with it.
b'{"id":1067442,"friendlyName":"attachment0","md5":"4dCsb2PEljAqYY1JBl3FXA==","contentType":"image/jpeg","size":1017241,"createdDate":1582649116340,"updatedDate":1582649116340,"thumbnailBase64":"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................
First parse the json string:
import json
response = b'{"id":1067442,"friendlyName":"attachment0","md5":"4dCsb2PEljAqYY1JBl3FXA==","contentType":"image/jpeg","size":1017241,"createdDate":1582649116340,"updatedDate":1582649116340,"thumbnailBase64":"/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACWAJYDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDu1AwB29B/9al4BPr7f5/Gk7Dn86Xt/niuY1HZ5HApcZ6ikXpxxTvccUhABwD1/rUkZ2nHUUwc07GRkUrgTBfTp7U9QB0pEyyg96cxSNGkdwqqCxZjwB6+3elcLmfq19aaRCt/dSMqAGMqD97jI49eP1rz2bUdc8YGR7eaLS9EVtpup22ofYZxvP6VieMfFP8AbGrMu9RaRnbBEcksvqR2z/8AWrkpdRS7vIobi7mlSFdsUKnIX2FdEY6ak8x6zp/hDwhHEJbrUotQY9ZJbsBc+wUgfzrQi0XwUp+SHSH+ro38zXlkdzEBuYiOIDqzYAqvcahaO4W3thcTngNInC/nT5Q5j2iLQfD8ozb6fprD1jhQ4/IVTvfBGkz5aGFYj6xqB+nSvJrU3EUgeGcxSA53wHaQfwrttL+J/wBhtI7fWrZ5pFYoZ4mA3Y9Qcc/jScRqRHqHgu7sQ09oInRPmYL8mQPUdDVeLXWh037HJtLbt0cj9AOhUiux/wCEx0XUtFu5rS4/eLEcROMNk8DHY8ntXO+B9PXUb2+nlQNBHGIfmGQWY5P8h+dS1pqProUrfVBuCGOEjHy+W+P0NU9KeeDVL2a6sLiO2kHlrKUyD................"}'
response_parsed = json.loads(response)
response_parsed['contentType'] being image/jpeg hints to us that the format of the image is jpeg.
You didn't provide us with the actual image data, just the beginning of the thumbnail of the image which is stored in thumbnailBase64.
The thumbnail is encoded in base64. We can decode the base64 string into bytes using base64.b64decode:
from base64 import b64decode
thumbnail_bytes = b64decode(response_parsed['thumbnailBase64'])
Now that we have the thumbnail bytes we can save it to a file and view it like any regular image file:
with open(r'thumbnail.jpg', 'wb') as x:
x.write(thumbnail_bytes)
The actual image is probably in a JSON field called "image" or "imageData" or something similar. You did not include it in your question so there's no way to be sure.
This results in:
Obviously it's corrupt because you only included the beginning of the thumbnail.
Something like that could do the trick
import json, base64
resp = b'{"id":1067442,"friendlyName":"attachment0","md5":"4dCsb2PEljAqYY1JBl3FXA==","contentType":"image/jpeg","size":1017241,"createdDate":1582649116340,"updatedDate":1582649116340,"thumbnailBase64":"/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgG...'
resp_dict = json.loads(resp)
with open("img.jpeg", "wb") as fp:
content = base64.b64decode(resp_dict['thumbnailBase64'])
fp.write(content)
In addition, keep in mind that base64 value can be used directly to print an image into a HTML page
<div>
<p>Taken from wikpedia</p>
<img src="data:image/jpeg;base64, iVBORw0KGgoAAAANSUhEUgAAAAUA
AAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO
9TXL0Y4OHwAAAABJRU5ErkJggg==" alt="Red dot" />
</div>
In all case, you will need to check the content-type to correctly interpret the data you received. This is not always jpeg, but may be png, gif, tiff, etc.

Saving a json request as an Image in Flask

I have a flask get request like this
content = {"vname":"","myPhoto":{"fieldname":"myPhoto","originalname":"flower-purple-lical-blosso.jpg","encoding":"7bit","mimetype":"image/jpeg","buffer":{"type":"Buffer","data":[255,216,255,224,0,...]}
My image file is with the key data.
data = content['myphoto']['buffer']['data']
I am unable to save it as a jpeg file.
I am not sure how to decode this object as an image as its currently a list.
If I correctly understood your question, it could be done like this:
#!/usr/bin/env python3
content = {"vname":"","myPhoto":{"fieldname":"myPhoto","originalname":"flower-purple-lical-blosso.jpg","encoding":"7bit","mimetype":"image/jpeg","buffer":{"type":"Buffer","data":[255,216,255,224,0,20]}}}
data = content['myPhoto']['buffer']['data']
str_data = ''.join(chr(d) for d in data) # build string using list comprehension
bytes_data = str_data.encode() # build bytes array from string
with open('output.jpg', 'wb') as f: # open file for writing bytes
f.write(bytes_data) # write bytes array to file
Code of course is not perfect and could be used as starting point.

Flask Application File Upload - Error while getting contents of file

I am developing a flask application which uploads a file to IBM Bluemix Cloudant DB. I need to save the contents of the file as a key value pair in Cloudant.
If I try to save a text file, it reads the content correctly. For other type of files it does not work.
Following is my flask REST API CODE:
#app.route('/upload', methods=['POST'])
def upload_file():
file_to_upload = request.files['file_upload'];
response = CloudantDB().upload_file_to_db(file_to_upload);
//tHE FUNCTION upload_file under CloudantDB is as shown below.
file_name = file.filename;
uploaded_file_content = file.read();
data = {
'file_name': file_name,
'file_contents': uploaded_file_content,
'version': version
}
my_doc = self.database.create_document(data);
I know the error is because "uploaded_file_content" is in a different format (i.e. For PDFs, JPGs etc).
Is there anyway I can overcome this?
Thanks!
The difference is that text files contain ordinary text whereas JPG, PNG etc. contain binary data.
Binary data should be uploaded as an attachment with a mime type, and you need to base64 encode the data. You don't show what create_document() is doing, but it's unlikely that it is able to treat binary data as an attachment. This might fix it for you:
from base64 import b64encode
uploaded_file_content = b64encode(file.read());
data = {
'file_name': file_name,
'version': version,
'_attachments': {
file_name : {
'content-type': 'image/png',
'data': uploaded_file_content
}
}
}
my_doc = self.database.create_document(data);
It should also be possible with your current code to simply base64 encode the file content and upload it. So that you know what type of data is stored should you later retrieve it, you will need to add another key value pair to store the mime type as content-type does above.
Attachments have advantages in that they can be individually addressed, read, deleted, updated without affecting the containing document, so you are probably better off using them.

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