def parse_result(r):
data = r['data']
p = get_nested_value(data, 6, 84, 7, 1)
time_zone = get_nested_value(data, 31, 1, 0, 0)
timestamp = moment.utcnow().timezone(time_zone).replace(minutes=0,
seconds=0)
return dict(id=r['id'],
data=dict(popularity=p, timestamp=str(timestamp)))
def parse_result(r):
data = r['data']
lat = round(get_nested_value(data, 9, 2),
7) # 7 digits equals a precision of 1 cm
lng = round(get_nested_value(data, 9, 3),
7) # 7 digits equals a precision of 1 cm
# noinspection PyUnresolvedReferences
h3_index = h3.geo_to_h3(lat, lng, POI_RESOLUTION)
pb_id = get_nested_value(data, 10)
return dict(query=r['query'],
data=dict(location=dict(lat=lat, lng=lng),
h3Index=h3_index,
id=pb_id))
def search(query):
"""
Get the data for a given query string
:param str query: String that is used for the search (name + address or place_id:{place_ide})
:return: The query string with its corresponding result
"""
url = 'https://www.google.de/search'
params = {
'tbm':
'map',
'tch':
1,
'hl':
'en',
'q':
query,
'pb':
'!4m12!1m3!1d4005.9771522653964!2d-122.42072974863942!3d37.8077459796541!2m3!1f0!2f0!3f0!3m2!1i1125!2i976'
'!4f13.1!7i20!10b1!12m6!2m3!5m1!6e2!20e3!10b1!16b1!19m3!2m2!1i392!2i106!20m61!2m2!1i203!2i100!3m2!2i4!5b1'
'!6m6!1m2!1i86!2i86!1m2!1i408!2i200!7m46!1m3!1e1!2b0!3e3!1m3!1e2!2b1!3e2!1m3!1e2!2b0!3e3!1m3!1e3!2b0!3e3!'
'1m3!1e4!2b0!3e3!1m3!1e8!2b0!3e3!1m3!1e3!2b1!3e2!1m3!1e9!2b1!3e2!1m3!1e10!2b0!3e3!1m3!1e10!2b1!3e2!1m3!1e'
'10!2b0!3e4!2b1!4b1!9b0!22m6!1sa9fVWea_MsX8adX8j8AE%3A1!2zMWk6Mix0OjExODg3LGU6MSxwOmE5ZlZXZWFfTXNYOGFkWDh'
'qOEFFOjE!7e81!12e3!17sa9fVWea_MsX8adX8j8AE%3A564!18e15!24m15!2b1!5m4!2b1!3b1!5b1!6b1!10m1!8e3!17b1!24b1!'
'25b1!26b1!30m1!2b1!36b1!26m3!2m2!1i80!2i92!30m28!1m6!1m2!1i0!2i0!2m2!1i458!2i976!1m6!1m2!1i1075!2i0!2m2!'
'1i1125!2i976!1m6!1m2!1i0!2i0!2m2!1i1125!2i20!1m6!1m2!1i0!2i956!2m2!1i1125!2i976!37m1!1e81!42b1!47m0!49m1'
'!3b1'
}
response = fetch_data(url, params)
data = response.text.split('/*""*/')[0]
jend = data.rfind('}')
if jend >= 0:
data = data[:jend + 1]
jdata = json.loads(data)['d']
jdata = json.loads(jdata[4:])
# Get info from result array, has to be adapted if api changes
data = get_nested_value(jdata, 0, 1, 0, 14)
# Check second result
if data is None:
data = get_nested_value(jdata, 0, 1, 1, 14)
return dict(query=query, data=data)
def parse_list(li):
date = get_nested_value(li, 4)
opening_time_hours = get_nested_value(li, 6, 0, 0)
opening_time_minutes = get_nested_value(li, 6, 0, 1)
closing_time_hours = get_nested_value(li, 6, 0, 2)
closing_time_minutes = get_nested_value(li, 6, 0, 3)
return dict(
date=str(moment.date(date)),
openingTime=str(moment.date(date).add(
hours=opening_time_hours,
minutes=opening_time_minutes
)) if opening_time_hours is not None else None,
closingTime=str(moment.date(date).add(
days=1 if closing_time_hours < opening_time_hours else 0, # Necessary if closing at midnight or later
hours=closing_time_hours,
minutes=closing_time_minutes
)) if closing_time_hours is not None else None
)
def parse_result(r):
data = r['data'][6]
name = get_nested_value(data, 11)
place_id = get_nested_value(data, 78)
lat = round(get_nested_value(data, 9, 2), 7) # 7 digits equals a precision of 1 cm
lng = round(get_nested_value(data, 9, 3), 7) # 7 digits equals a precision of 1 cm
# noinspection PyUnresolvedReferences
h3_index = h3.geo_to_h3(lat, lng, POI_RESOLUTION)
address = get_nested_value(data, 2)
timezone = get_nested_value(data, 30)
categories = [t[0] for t in (get_nested_value(data, 76) or [])]
opening_hours = parse_opening_hours(get_nested_value(data, 34, 1))
permanently_closed = get_nested_value(data, 88, 0) == 'CLOSED'
temporarily_closed = get_nested_value(data, 96, 5, 0, 2) == 'Reopen this place' and not permanently_closed
inside_of = get_nested_value(data, 93, 0, 0, 0, 1)
phone = get_nested_value(data, 178, 0, 3)
website = get_nested_value(data, 7, 0)
rating_stars = get_nested_value(data, 4, 7)
rating_number_of_reviews = get_nested_value(data, 4, 8)
price_level = get_nested_value(data, 4, 2)
popularity_data = get_nested_value(data, 84, 0)
spending_time = parse_spending_time_data(get_nested_value(data, 117, 0))
popularity, waiting_time = None, None
if popularity_data:
popularity, waiting_time = parse_popularity_data(popularity_data, timezone)
return dict(
id=r['id'],
data=dict(
name=name,
placeID=place_id,
location=dict(lat=lat, lng=lng),
h3Index=h3_index,
address=address,
timezone=timezone,
categories=categories,
temporarilyClosed=temporarily_closed,
permanentlyClosed=permanently_closed,
insideOf=inside_of,
contact=dict(phone=phone, website=website),
openingHours=opening_hours,
rating=dict(stars=rating_stars, numberOfReviews=rating_number_of_reviews),
priceLevel=len(price_level) if price_level else None,
popularity=popularity,
waitingTime=waiting_time,
spendingTime=spending_time
)
)
