I'm trying to invoke my sagemaker model using aws chalice, a lambda function, and an API Gateaway.
I'm attempting to send the image over POST
request but I'm having problem receiving it on the lambda function.
My code looks like:
from chalice import Chalice
from chalice import BadRequestError
import base64
import os
import boto3
import ast
import json
app = Chalice(app_name='foo')
app.debug = True
@app.route('/', methods=['POST'], content_types=['application/json'])
def index():
body = ''
try:
body = app.current_request.json_body # <- I suspect this is the problem
return {'response': body}
except Exception as e:
return {'error': str(e)}
It's just returning
<Response [200]> {'error': 'BadRequestError: Error Parsing JSON'}
As I mentioned before, my end goal is to receive my image and make a sagemaker request with it. But I just can't seem to read the image.
My python test client looks like this:
import base64, requests, json
def test():
url = 'api_url_from_chalice'
body = ''
with open('b1.jpg', 'rb') as image:
f = image.read()
body = base64.b64encode(f)
payload = {'data': body}
headers = {'Content-Type': 'application/json'}
r = requests.post(url, data=payload, headers=headers)
print(r)
r = r.json()
# r = r['response']
print(r)
test()
Please help me, I spent way to much time trying to figure this out
So I was able to figure it out with the help of an aws engineer (i got lucky I suppose). I'm including the complete lambda function. Nothing changed on the client.
from chalice import Chalice
from chalice import BadRequestError
import base64
import os
import boto3
import ast
import json
import sys
from chalice import Chalice
if sys.version_info[0] == 3:
# Python 3 imports.
from urllib.parse import urlparse, parse_qs
else:
# Python 2 imports.
from urlparse import urlparse, parse_qs
app = Chalice(app_name='app_name')
app.debug = True
@app.route('/', methods=['POST'])
def index():
parsed = parse_qs(app.current_request.raw_body.decode())
body = parsed['data'][0]
print(type(body))
try:
body = base64.b64decode(body)
body = bytearray(body)
except e:
return {'error': str(e)}
endpoint = "object-detection-endpoint_name"
runtime = boto3.Session().client(service_name='sagemaker-runtime', region_name='us-east-2')
response = runtime.invoke_endpoint(EndpointName=endpoint, ContentType='image/jpeg', Body=body)
print(response)
results = response['Body'].read().decode("utf-8")
results = results['predictions']
results = json.loads(results)
results = results['predictions']
return {'result': results}