eengcapability.py

import ee, datetime
import pandas as pd
import geopandas as gpd
import matplotlib.dates as mdates
from IPython.display import Image
from matplotlib import dates
from shapely.geometry import shape
import skimage


def download_file_from_google_drive(id, destination):
    URL = "https://docs.google.com/uc?export=download"

    session = requests.Session()

    response = session.get(URL, params = { 'id' : id }, stream = True)
    token = get_confirm_token(response)

    if token:
        params = { 'id' : id, 'confirm' : token }
        response = session.get(URL, params = params, stream = True)

    save_response_content(response, destination)

#def get_confirm_token(response):
    for key, value in response.cookies.items():
        if key.startswith('download_warning'):
            return value

    return None

def save_response_content(response, destination):
    CHUNK_SIZE = 32768

    with open(destination, "wb") as f:
        for chunk in response.iter_content(CHUNK_SIZE):
            if chunk: # filter out keep-alive new chunks
                f.write(chunk)

#####
#####
				
def fc2df(fc):
    # Convert a FeatureCollection into a pandas DataFrame
    # Features is a list of dict with the output
    features = fc.getInfo()['features']

    dictarr = []

    for f in features:
        # Store all attributes in a dict
        attr = f['properties']
        # and treat geometry separately
        attr['geometry'] = f['geometry']  # GeoJSON Feature!
        # attr['geometrytype'] = f['geometry']['type']
        dictarr.append(attr)

    df = gpd.GeoDataFrame(dictarr)
    # Convert GeoJSON features to shape
    df['geometry'] = map(lambda s: shape(s), df.geometry)
    return df