# Name ideas
dozo
fog
mtool
ordigi

# Geocoders
- Pelias
- Photon
- Nominatium

# TEST

def get_exif(filename):
    image = Image.open(filename)
    image.verify()
    return image._getexif()

def get_geotagging(exif):
    if not exif:
        raise ValueError("No EXIF metadata found")

    geotagging = {}
    for (idx, tag) in TAGS.items():
        if tag == 'GPSInfo':
            if idx not in exif:
                raise ValueError("No EXIF geotagging found")

            for (key, val) in GPSTAGS.items():
                if key in exif[idx]:
                    geotagging[val] = exif[idx][key]

    return geotagging
 get_geotagging(exif)
from PIL.ExifTags import TAGS

def get_labeled_exif(exif):
    labeled = {}
    for (key, val) in exif.items():
        labeled[TAGS.get(key)] = val

    return labeled
get_geotagging(exif)
from PIL.ExifTags import GPSTAGS
get_geotagging(exif)
geotags = get_geotagging(exif)
get_location(geotags)

def get_decimal_from_dms(dms, ref):

    degrees = dms[0][0] / dms[0][1]
    minutes = dms[1][0] / dms[1][1] / 60.0
    seconds = dms[2][0] / dms[2][1] / 3600.0

    if ref in ['S', 'W']:
        degrees = -degrees
        minutes = -minutes
        seconds = -seconds

    return round(degrees + minutes + seconds, 5)

def get_coordinates(geotags):
    lat = get_decimal_from_dms(geotags['GPSLatitude'], geotags['GPSLatitudeRef'])

    lon = get_decimal_from_dms(geotags['GPSLongitude'], geotags['GPSLongitudeRef'])

    return (lat,lon)

def get_geotagging(exif):
    if not exif:
        raise ValueError("No EXIF metadata found")

    geotagging = {}
    for (idx, tag) in TAGS.items():
        if tag == 'GPSInfo':
            if idx not in exif:
                raise ValueError("No EXIF geotagging found")

            for (key, val) in GPSTAGS.items():
                if key in exif[idx]:
                    geotagging[val] = exif[idx][key]

    return geotagging

def get_decimal_from_dms(dms, ref):

    degrees = dms[0]
    minutes = dms[1] / 60.0
    seconds = dms[2] / 3600.0

    if ref in ['S', 'W']:
        degrees = -degrees
        minutes = -minutes
        seconds = -seconds

    return round(degrees + minutes + seconds, 5)
headers = {}
    params = {
        'apiKey': os.environ['API_KEY'],
        'at': "%s,%s" % coords,
        'lang': 'en-US',
        'limit': 1,
    }
78/41: headers = {}
78/42:
params = {
    'apiKey': os.environ['API_KEY'],
    'at': "%s,%s" % coords,
    'lang': 'en-US',
    'limit': 1,
    }
78/43:
params = {
    'apiKey': os.environ['API_KEY'],
    'at': "%s,%s" % coords,
    'lang': 'en-US',
    'limit': 1,
    }
78/44: API_KEY=m5aGo8xGe4LLhxeKZYpHr2MPXGN2aDhe
78/45: API_KEY='m5aGo8xGe4LLhxeKZYpHr2MPXGN2aDhe'
78/46:
params = {
    'apiKey': os.environ['API_KEY'],
    'at': "%s,%s" % coords,
    'lang': 'en-US',
    'limit': 1,
    }
78/47: API_KEY='m5aGo8xGe4LLhxeKZYpHr2MPXGN2aDhe'
78/48:
params = {
    'apiKey': os.environ['API_KEY'],
    'at': "%s,%s" % coords,
    'lang': 'en-US',
    'limit': 1,
    }
78/49:
params = {
    'apiKey': os.environ['m5aGo8xGe4LLhxeKZYpHr2MPXGN2aDhe'],
    'at': "%s,%s" % coords,
    'lang': 'en-US',
    'limit': 1,
    }
78/50: %load_ext autotime
78/51:
import pandas as pd
import geopandas as gpd
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiterimport matplotlib.pyplot as plt
import plotly_express as pximport tqdm
from tqdm._tqdm_notebook import tqdm_notebook
78/52:
import pandas as pd
import geopandas as gpd
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiterimport matplotlib.pyplot as plt
import plotly_express as px
import pandas as pd
import geopandas as gpd






from PIL import Image

filename='2021-02-24_09-33-29-20210305_081001_01.mp4'
def get_exif(filename):
    image = Image.open(filename)
    image.verify()
    return image._getexif()
exif=get_exif(filename)

from PIL.ExifTags import TAGS
from PIL.ExifTags import GPSTAGS
def get_geotagging(exif):
    if not exif:
        raise ValueError("No EXIF metadata found")

    geotagging = {}
    for (idx, tag) in TAGS.items():
        if tag == 'GPSInfo':
            if idx not in exif:
                raise ValueError("No EXIF geotagging found")

            for (key, val) in GPSTAGS.items():
                if key in exif[idx]:
                    geotagging[val] = exif[idx][key]

    return geotagging
geotags = get_geotagging(exif)
import os
import requests

def get_location(geotags):
    coords = get_coordinates(geotags)

    uri = 'https://revgeocode.search.hereapi.com/v1/revgeocode'
    headers = {}
    params = {
        'apiKey': os.environ['API_KEY'],
        'at': "%s,%s" % coords,
        'lang': 'en-US',
        'limit': 1,
    }

    response = requests.get(uri, headers=headers, params=params)
    try:
        response.raise_for_status()
        return response.json()

    except requests.exceptions.HTTPError as e:
        print(str(e))
        return {}

def get_coordinates(geotags):
    lat = get_decimal_from_dms(geotags['GPSLatitude'], geotags['GPSLatitudeRef'])

    lon = get_decimal_from_dms(geotags['GPSLongitude'], geotags['GPSLongitudeRef'])

    return (lat,lon)
coords = get_coordinates(geotags)
import geopy
from geopy.geocoders import Nominatim
locator = Nominatim(user_agent='myGeocoder')
# coordinates ='53.480837, -2.244914'
lat='45.58339'
lon='4.79823'
coords = lat + ',' + lon
locator.reverse(coords)
location =locator.reverse(coords)
location.address.split(',')
city=location.address.split(',')[1].strip()
country=location.address.split(',')[7].strip()
location.raw
rint
country=location.raw['address']['country']
city=location.raw['address']['village']