InvalidSchema("No connection adapters were found for '%s'" % url)

raise InvalidSchema("No connection adapters were found for '%s'" % url)
requests.exceptions.InvalidSchema: <exception str() failed>

Getting the above error when I do:

headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36'}
r = requests.get(page_url, headers=headers)

Where page_url is the URL of the webpage I’m requesting. I’ve confirmed the URL is correct and stored in page_url properly; the issue appears to be the fact that I’m grabbing the URL from a file. Replacing page_url with the actual URL removes the error. Is there some issue with using a URL that’s stored in a variable rather than hardcoding it or something?

[superior57]

data:image/jpeg;base64,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

this is image url… I am getting this error “No connection adapters were found for” when I try to send request in python.

[Adesoji1]

i have this issue too. below is the code. import os import json import io import requests import numpy as np import tensorflow as tf from PIL import Image import matplotlib.pyplot as plt import PIL

ASSETS_DIR = r"C:\Users\Sortol\Documents\adesoji-fastapi\assets" TEST_IMAGES_DIR = r"C:\Users\Sortol\Documents\adesoji-fastapi\images"

classes = json.load(open(os.path.join(ASSETS_DIR,‘categories.json’))) classes = {v:k for k,v in classes.items()}

URL = “/v1/models/flower-classification:predict”

def read_img_file(file) -> Image.Image: img = Image.open(io.BytesIO(file)) if img.mode == “RGBA”: img = img.convert(“RGB”) img = img.resize((224,224), Image.ANTIALIAS) img = tf.expand_dims(np.asarray(img)/255, 0) return img

def load_img(img_path, show:bool=False):

img_path = random.choice(glob.glob(f"{DATASET_DIR}/test/{cls}/*.jpg"))

img = PIL.Image.open(img_path) img = img.resize((224,224), PIL.Image.ANTIALIAS) if show: plt.imshow(img) plt.title(‘cls’) img = tf.expand_dims(np.asarray(img)/255, 0) return img

def predict(img): headers = { “content-type” : “application/json” } data = json.dumps({ “signature_name”: “serving_default”, “instances”: img.numpy().tolist() }) response = requests.post(URL, data=data, headers=headers) response_data = json.loads(response.text)[‘predictions’][0] confidence = np.max(response_data) predicted_class = classes[np.argmax(response_data)] return response_data,confidence,predicted_class

now i get this error below

C:\Users\Sortol\Documents\adesoji-fastapi\app>uvicorn main:app 2021-03-01 23:18:10.330558: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll INFO: Started server process [6912] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: 127.0.0.1:54121 - “GET / HTTP/1.1” 404 Not Found INFO: 127.0.0.1:54129 - “GET /docs HTTP/1.1” 200 OK INFO: 127.0.0.1:54129 - “GET /openapi.json HTTP/1.1” 200 OK 2021-03-01 23:18:39.587847: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2021-03-01 23:18:39.596337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll 2021-03-01 23:18:39.686352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:03:00.0 name: GeForce 840M computeCapability: 5.0 coreClock: 1.124GHz coreCount: 3 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 13.41GiB/s 2021-03-01 23:18:39.687791: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll 2021-03-01 23:18:39.782907: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll 2021-03-01 23:18:39.783942: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll 2021-03-01 23:18:39.832809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll 2021-03-01 23:18:39.844951: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll 2021-03-01 23:18:39.939685: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll 2021-03-01 23:18:39.961540: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-03-01 23:18:39.965590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 2021-03-01 23:18:39.966611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2021-03-01 23:18:39.981739: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-03-01 23:18:39.985255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:03:00.0 name: GeForce 840M computeCapability: 5.0 coreClock: 1.124GHz coreCount: 3 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 13.41GiB/s 2021-03-01 23:18:39.987565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll 2021-03-01 23:18:39.988770: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll 2021-03-01 23:18:39.989115: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll 2021-03-01 23:18:39.989445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll 2021-03-01 23:18:39.989775: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll 2021-03-01 23:18:39.991063: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll 2021-03-01 23:18:39.991441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-03-01 23:18:39.991842: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 2021-03-01 23:18:39.993129: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2021-03-01 23:18:43.086253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2021-03-01 23:18:43.088620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2021-03-01 23:18:43.089128: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2021-03-01 23:18:43.107867: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1369 MB memory) -> physical GPU (device: 0, name: GeForce 840M, pci bus id: 0000:03:00.0, compute capability: 5.0) 2021-03-01 23:18:43.156687: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set tf.Tensor( [[[[0.64705882 0.65490196 0.48627451] [0.58823529 0.60392157 0.46666667] [0.54117647 0.56078431 0.42352941] … [0.35686275 0.52941176 0.32941176] [0.20392157 0.34509804 0.23529412] [0.13333333 0.25882353 0.14117647]]

[[0.6627451 0.69411765 0.51372549] [0.58431373 0.60784314 0.4627451 ] [0.50588235 0.50980392 0.4 ] … [0.39607843 0.55294118 0.36470588] [0.15294118 0.29411765 0.18431373] [0.05098039 0.18823529 0.06666667]]

[[0.61960784 0.64313725 0.50196078] [0.63921569 0.62745098 0.52156863] [0.57254902 0.51764706 0.47843137] … [0.38039216 0.52156863 0.36862745] [0.16862745 0.30980392 0.21568627] [0.0745098 0.21960784 0.09411765]]

…

[[0.32941176 0.48627451 0.33333333] [0.32941176 0.48627451 0.3254902 ] [0.31764706 0.50196078 0.32156863] … [0.57254902 0.68235294 0.66666667] [0.23529412 0.34509804 0.36078431] [0.20784314 0.3254902 0.29411765]]

[[0.36078431 0.48235294 0.3372549 ] [0.35686275 0.49019608 0.32941176] [0.34117647 0.52156863 0.3372549 ] … [0.53333333 0.67058824 0.63137255] [0.22745098 0.36078431 0.37254902] [0.27843137 0.40392157 0.37647059]]

[[0.34509804 0.4745098 0.32941176] [0.34117647 0.49019608 0.32156863] [0.33333333 0.52156863 0.3254902 ] … [0.51764706 0.67843137 0.61568627] [0.25098039 0.40392157 0.40784314] [0.22352941 0.37647059 0.33333333]]]], shape=(1, 224, 224, 3), dtype=float64) INFO: 127.0.0.1:54141 - “POST /predict HTTP/1.1” 500 Internal Server Error ERROR: Exception in ASGI application Traceback (most recent call last): File “c:\users\sortol\anaconda3\lib\site-packages\uvicorn\protocols\http\h11_impl.py”, line 396, in run_asgi result = await app(self.scope, self.receive, self.send) File “c:\users\sortol\anaconda3\lib\site-packages\uvicorn\middleware\proxy_headers.py”, line 45, in call return await self.app(scope, receive, send) File “c:\users\sortol\anaconda3\lib\site-packages\fastapi\applications.py”, line 199, in call await super().call(scope, receive, send) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\applications.py”, line 111, in call await self.middleware_stack(scope, receive, send) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\middleware\errors.py”, line 181, in call raise exc from None File “c:\users\sortol\anaconda3\lib\site-packages\starlette\middleware\errors.py”, line 159, in call await self.app(scope, receive, _send) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\exceptions.py”, line 82, in call raise exc from None File “c:\users\sortol\anaconda3\lib\site-packages\starlette\exceptions.py”, line 71, in call await self.app(scope, receive, sender) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\routing.py”, line 566, in call await route.handle(scope, receive, send) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\routing.py”, line 227, in handle await self.app(scope, receive, send) File “c:\users\sortol\anaconda3\lib\site-packages\starlette\routing.py”, line 41, in app response = await func(request) File “c:\users\sortol\anaconda3\lib\site-packages\fastapi\routing.py”, line 201, in app raw_response = await run_endpoint_function( File “c:\users\sortol\anaconda3\lib\site-packages\fastapi\routing.py”, line 148, in run_endpoint_function return await dependant.call(**values) File “.\main.py”, line 21, in predict_image predictions = predict(flower_img) File “.\helpers.py”, line 46, in predict response = requests.post(URL, data=data, headers=headers) File “c:\users\sortol\anaconda3\lib\site-packages\requests\api.py”, line 119, in post return request(‘post’, url, data=data, json=json, **kwargs) File “c:\users\sortol\anaconda3\lib\site-packages\requests\api.py”, line 61, in request return session.request(method=method, url=url, **kwargs) File “c:\users\sortol\anaconda3\lib\site-packages\requests\sessions.py”, line 530, in request resp = self.send(prep, **send_kwargs) File “c:\users\sortol\anaconda3\lib\site-packages\requests\sessions.py”, line 637, in send adapter = self.get_adapter(url=request.url) File “c:\users\sortol\anaconda3\lib\site-packages\requests\sessions.py”, line 730, in get_adapter raise InvalidSchema(“No connection adapters were found for {!r}”.format(url)) requests.exceptions.InvalidSchema: No connection adapters were found for ‘/v1/models/flower-classification:predict’