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import io
import os
import zipfile
from datetime import datetime, timedelta
import pandas as pd
import requests
import streamlit as st
from dotenv import load_dotenv
from src import hf_utils
load_dotenv()
@st.cache_resource
def get_gfm_user_and_token():
username = os.environ["gfm_username"]
password = os.environ["gfm_password"]
base_url = "https://api.gfm.eodc.eu/v1"
# Get token, setup header
token_url = f"{base_url}/auth/login"
payload = {"email": username, "password": password}
response = requests.post(token_url, json=payload)
user_id = response.json()["client_id"]
access_token = response.json()["access_token"]
print("retrieved user id and access token")
return user_id, access_token
class GFMHandler:
def __init__(self):
self.base_url = "https://api.gfm.eodc.eu/v1"
self.user_id, self.access_token = self._get_gfm_user_and_token()
self.header = {"Authorization": f"bearer {self.access_token}"}
def _get_gfm_user_and_token(self):
username = os.environ["gfm_username"]
password = os.environ["gfm_password"]
# Get token, setup header
token_url = f"{self.base_url}/auth/login"
payload = {"email": username, "password": password}
response = requests.post(token_url, json=payload)
user_id = response.json()["client_id"]
access_token = response.json()["access_token"]
print("retrieved user id and access token")
return user_id, access_token
def _refresh_token(self):
"""Refresh the access token and update the authorization header"""
self.user_id, self.access_token = self._get_gfm_user_and_token()
self.header = {"Authorization": f"bearer {self.access_token}"}
print("Refreshed access token")
def _make_request(self, method, url, **kwargs):
"""Make an API request with automatic token refresh on authentication failure"""
try:
response = requests.request(method, url, headers=self.header, **kwargs)
if response.status_code == 401: # Unauthorized
print("Token expired, refreshing...")
self._refresh_token()
# Retry the request with new token
response = requests.request(method, url, headers=self.header, **kwargs)
response.raise_for_status()
return response
except requests.exceptions.RequestException as e:
print(f"Request failed: {e}")
raise
def get_area_products(self, area_id, from_date, to_date):
params = {
"time": "range",
"from": f"{from_date}T00:00:00",
"to": f"{to_date}T00:00:00",
}
prod_url = f"{self.base_url}/aoi/{area_id}/products"
response = self._make_request("GET", prod_url, params=params)
products = response.json()["products"]
print(f"Found {len(products)} products for {area_id}")
# Sort products by timestamp
products.sort(key=lambda x: x["product_time"])
# Group products that are within 1 minute of each other
if products:
current_group_time = products[0]["product_time"]
products[0]["product_time_group"] = current_group_time
for i in range(1, len(products)):
product_time = datetime.fromisoformat(
products[i]["product_time"].replace("Z", "+00:00")
)
current_time = datetime.fromisoformat(
current_group_time.replace("Z", "+00:00")
)
time_diff = product_time - current_time
# If more than 1 minute apart, start a new group
if time_diff > timedelta(minutes=1):
current_group_time = products[i]["product_time"]
products[i]["product_time_group"] = current_group_time
return products
def download_flood_product(self, area_id, product):
product_id = product["product_id"]
product_time = product["product_time"]
print(f"Downloading product: {product_id}")
download_url = f"{self.base_url}/download/product/{product_id}"
response = self._make_request("GET", download_url)
download_link = response.json()["download_link"]
# Download and unzip file
r = requests.get(download_link)
buffer = io.BytesIO(r.content)
hf_api = hf_utils.get_hf_api()
data = {
"aoi_id": area_id,
"datetime": product_time,
"product": product_id,
}
with zipfile.ZipFile(buffer, "r") as z:
namelist = z.namelist()
for file_type in ["flood", "footprint"]:
filename = next(
name
for name in namelist
if file_type in name.lower() and name.endswith(".geojson")
)
path_in_repo = f"flood-geojson/{filename}"
with z.open(filename) as f:
hf_api.upload_file(
path_or_fileobj=f,
path_in_repo=path_in_repo,
repo_id="rodekruis/flood-mapping",
repo_type="dataset",
)
data[f"{file_type}_geojson_path"] = path_in_repo
df = pd.DataFrame([data])
index_df = hf_utils.get_geojson_index_df()
index_df = pd.concat([index_df, df], ignore_index=True)
hf_utils.update_geojson_index_df(index_df)
print(f"Product {product_id} downloaded succesfully")
def retrieve_all_aois(self):
print("Retrieving all AOIs from GFM API")
aoi_url = f"{self.base_url}/aoi/user/{self.user_id}"
response = self._make_request("GET", aoi_url)
aois = response.json()["aois"]
aois = {
aoi["aoi_id"]: {
"name": aoi["aoi_name"],
"bbox": aoi["geoJSON"],
"name_id_preview": f"{aoi['aoi_name']} - {aoi['aoi_id'][:6]}...",
}
for aoi in aois
}
return aois
def create_aoi(self, new_area_name, coordinates):
print("Creating new area of impact")
create_aoi_url = f"{self.base_url}/aoi/create"
payload = {
"aoi_name": new_area_name,
"description": new_area_name,
"user_id": self.user_id,
"geoJSON": {"type": "Polygon", "coordinates": coordinates},
}
self._make_request("POST", create_aoi_url, json=payload)
get_cached_aois.clear()
print("Posted new AOI")
def delete_aoi(self, aoi_id):
print(f"Deleting area of impact {aoi_id}")
delete_aoi_url = f"{self.base_url}/aoi/delete/id/{aoi_id}"
print(delete_aoi_url)
self._make_request("DELETE", delete_aoi_url)
get_cached_aois.clear()
print("AOI deleted")
@st.cache_resource
def get_cached_gfm_handler():
return GFMHandler()
@st.cache_resource
def get_cached_aois():
gfm = get_cached_gfm_handler()
return gfm.retrieve_all_aois()
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