def get(self, name):
phq = Client(access_token="")
retJ = []
if name == '':
name = "eminem"
for event in phq.events.search(q=name, limit=5, sort='rank', category='concerts'):
try:
cood = event.location
local = (rg.search([cood[1],cood[0]]))[0]['name']
except IndexError as e:
cood = [0,0]
local = 'USA'
# this = stateplane.identify(cood[0], cood[1])
resp = {
"eTitle" : event.title,
"eDate" : event.start.strftime('%Y-%m-%d'),
"eCountry" : event.country,
"eRank" : event.rank,
"eLocation" : local,
}
# print (event.scope, event.description, event.start.strftime
# ('%Y-%m-%d'), event.category, event.country, event.rank, event.location, event.labels, event.title)
# print(event.rank, event.category, event.title, event.start.strftime('%Y-%m-%d'))
retJ.append(resp)
return retJ, 200
def wrapper(*args, **kwargs):
with mock.patch.object(Client,
'request',
return_value=request_returns,
side_effect=request_raises):
return f(client=Client(*client_args, **client_kwargs),
*args,
**kwargs)
def hazards():
global hazardskey
phq = Client(access_token=hazardskey)
keeps = [
'scope', 'start', 'active', 'timezone', 'title', 'description',
'country', 'labels', 'location'
]
params = request.args
# token = 'VCAUrlQIK04kDFk6AE6_hvR-922LbO8gtrPaUCWN'
# url = 'https://api.predicthq.com/v1/events/?category=disasters&offset=10&state=active'
# if 'country' in params : url += f'&country={params["country"]}'
# if 'from_date' in params : url += f'%start.gt={params["from_date"]}'
#
# # response = requests.get(url , headers = { 'Authorization' : f'Bearer {token}' })
# result = response.json()['results']
# result = sorted(result , key = lambda r : r['rank'])
final_result = []
for j in phq.events.search(category='disasters',
state='active',
country=params.get('country')):
obj = {k: v for k, v in j.items() if k in keeps}
final_result.append(obj)
return jsonify(final_result)
from predicthq import Client
# Please copy paste your access token here
# or read our Quickstart documentation if you don't have a token yet
# https://docs.predicthq.com/guides/quickstart/
ACCESS_TOKEN = 'abc123'
phq = Client(access_token=ACCESS_TOKEN)
# One of PredictHQ's data-enriching features is to provide predicted attendance
# numbers events. This is a paid feature and is extremely useful for demand
# intelligence and prediction. Predicted attendance is available as
# phq_attendance.
# You can filter by phq_attendance when searching.
# See https://docs.predicthq.com/resources/events/#param-phq_attendance
for event in phq.events.search(phq_attendance={'gte': 5000}):
print(event.phq_attendance, event.category, event.title,
event.start.strftime('%Y-%m-%d'))
# The phq_attendance field will only contain a value if there is a predicted
# attendance for the event and if your subscription includes the feature in
# your API plan.
from predicthq import Client
import reverse_geocoder as rg
phq = Client(access_token="")
retJ = []
name = "post malone"
for event in phq.events.search(q=name,
limit=5,
sort='rank',
category='concerts'):
try:
cood = event.location
local = (rg.search([cood[1], cood[0]]))[0]['name']
except IndexError as e:
cood = [0, 0]
local = 'USA'
# this = stateplane.identify(cood[0], cood[1])
resp = {
"eTitle": event.title,
"eDate": event.start.strftime('%Y-%m-%d'),
"eCountry": event.country,
"eRank": event.rank,
"eLocation": local,
}
# print (event.scope, event.description, event.start.strftime
# ('%Y-%m-%d'), event.category, event.country, event.rank, event.location, event.labels, event.title)
def __init__(self):
self.phq = Client(access_token="NHcF5B9PiMCeCrhWENWuRB9SDtSxSB")
def wrapper(*args, **kwargs):
return f(client=Client(*client_args, **client_kwargs), *args, **kwargs)
ACCESS_TOKEN = "oxBn3ImPUNkyqpNkukXF4vFQwTDFQD"
endpoint_url = "https://api.predicthq.com"
MAPBOX_ACCESS_TOKEN = 'pk.eyJ1IjoiZWxpemFiZXRoYmxhbmQiLCJhIjoiY2p5M3lxcG5wMDBhbTNobWt6cWo2NHBlNCJ9.vQVHhQNS7bUalBDv8u_iXw'
MAPBOX_STYLE_URL = "mapbox://styles/elizabethbland/cjy3z4qkc357y1cp96obggltm"
predicthq = "predicthq-0.2.0-py2.py3-none-any.whl"
offset = 0
results = []
# search_id='xryjn0ZQzzaDa'
__author__ = 'ebland'
df = pd.read_csv(r'predicthq.csv')
df.drop_duplicates(inplace=True)
phq = Client(access_token='oxBn3ImPUNkyqpNkukXF4vFQwTDFQD')
response = requests.get(url='https://api.predicthq.com/v1/events/',
headers={
'Authorization':
'Bearer oxBn3ImPUNkyqpNkukXF4vFQwTDFQD',
'Accept': 'application/json'
},
params={'id': 'xryjn0ZQzzaDa'})
print(response.json())
for event in phq.events.search(q='storm',
rank_level=[1, 2, 3, 4, 5],
country='US'):
print(event.labels, event.id, event.category, event.country,
event.description, event.rank, event.start,