Example code to fetch a Quicklook of a Pleiades images using SH services

fetchQL.py

# Requests
from oauthlib.oauth2 import BackendApplicationClient
from requests_oauthlib import OAuth2Session
import requests
# Plotting
from PIL import Image
from io import BytesIO
import matplotlib.pyplot as plt

# Fetch Oauth token
def getauth_token(client_id, client_secret):
    # Create a session
    client = BackendApplicationClient(client_id=client_id)
    oauth = OAuth2Session(client=client)
    # Get token for the session
    token = oauth.fetch_token(
        token_url="https://services.sentinel-hub.com/oauth/token",
        client_id=client_id,
        client_secret=client_secret,
    )
    # All requests using this session will have an access token automatically added
    resp = oauth.get("https://services.sentinel-hub.com/oauth/tokeninfo")
    return oauth


# Set ID and secret (SH credentials)
shID = "xxxx"
shSECRET = "yyyyy"

# Fetch a token
oauth = getauth_token(shID, shSECRET)

# Set input parameters
geometry = {
    "type": "Polygon",
    "coordinates": [
        [
            [12.480207, 41.908026],
            [12.499422, 41.90726],
            [12.515034, 41.883876],
            [12.486555, 41.87902],
            [12.480207, 41.908026],
        ]
    ],
}

# Max Cloud cover in %
maxCC = 25

# Max incidence angle in degrees
maxINC = 54

start_date = "2022-04-15"
end_date = "2022-05-15"

# Make the request body
url = "https://services.sentinel-hub.com/api/v1/dataimport/search"

settings = {
    "provider": "AIRBUS",
    "bounds": {"geometry": geometry},
    "data": [
        {
            "constellation": "PHR",
            "dataFilter": {
                "maxCloudCoverage": maxCC,
                "maxIncidenceAngle": maxINC,
                "timeRange": {
                    "from": f"{start_date}T00:00:00Z",
                    "to": f"{end_date}T23:59:59Z",
                },
            },
        }
    ],
}

# Run request
response = oauth.post(url, json=settings)
output = response.json()

# Fetch the quicklook URL and stream the data
urlQL = output["features"][0]["_links"]["quicklook"]["href"]
im = Image.open(requests.get(urlQL, stream=True).raw)

# Plot the quicklook
fig, ax = plt.subplots(1, 1, figsize=(10, 8))
ax.imshow(im)
plt.title(f"Image date:{output['features'][0]['properties']['acquisitionDate']}")