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getinspection.py
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getinspection.py
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import os
import django
import pandas as pd
from sodapy import Socrata
import requests
import json
import logging
from django.conf import settings
from apscheduler.schedulers.blocking import BlockingScheduler
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dinesafelysite.settings")
django.setup()
from restaurant.models import Restaurant, InspectionRecords # noqa: E402
from yelprestaurantdetails import save_yelp_restaurant_details # noqa: E402
sched = BlockingScheduler()
logger = logging.getLogger(__name__)
def match_on_yelp(restaurant_name, restaurant_location):
location_list = restaurant_location.split(", ")
address1 = location_list[0]
city = "New York"
state = "NY"
country = "US"
headers = {
"Authorization": "Bearer %s" % settings.YELP_ACCESS_TOKEN_BUSINESS_SEARCH
}
url = "https://api.yelp.com/v3/businesses/matches"
params = {
"name": restaurant_name,
"address1": address1,
"city": city,
"state": state,
"country": country,
}
response = requests.get(url, params=params, headers=headers)
return response.text.encode("utf8")
def clean_inspection_data(results_df):
restaurant_df = results_df.loc[:, ["restaurantname", "businessaddress", "postcode"]]
inspection_df = results_df.loc[
:,
[
"restaurantinspectionid",
"isroadwaycompliant",
"inspectedon",
"skippedreason",
"restaurantname",
"businessaddress",
"postcode",
],
]
restaurant_df = restaurant_df.apply(
lambda x: x.str.strip() if x.dtype == "str" else x
)
restaurant_df = restaurant_df[restaurant_df["restaurantname"] != "Test"]
restaurant_df = restaurant_df[restaurant_df["restaurantname"] != "test"]
restaurant_df = restaurant_df[restaurant_df["restaurantname"] != "TEST"]
restaurant_df.drop_duplicates(
subset=["restaurantname", "businessaddress", "postcode"],
keep="last",
inplace=True,
)
return restaurant_df, inspection_df
def save_restaurants(restaurant_df, inspection_df):
for index, row in inspection_df.iterrows():
try:
b_id = None
if Restaurant.objects.filter(
restaurant_name=row["restaurantname"],
business_address=row["businessaddress"],
postcode=row["postcode"],
).exists():
rt = Restaurant.objects.get(
restaurant_name=row["restaurantname"],
business_address=row["businessaddress"],
postcode=row["postcode"],
)
Restaurant.objects.filter(
restaurant_name=row["restaurantname"],
business_address=row["businessaddress"],
postcode=row["postcode"],
).update(compliant_status=row["isroadwaycompliant"])
if rt.yelp_detail:
save_inspections(row, rt.yelp_detail.business_id)
else:
save_inspections(row, None)
logger.info(
"Inspection record for restaurant saved successfully: {}".format(rt)
)
else:
response = json.loads(
match_on_yelp(row["restaurantname"], row["businessaddress"])
)
if next(iter(response)) == "error" or not response["businesses"]:
b_id = None
else:
b_id = response["businesses"][0]["id"]
r = Restaurant(
restaurant_name=row["restaurantname"],
business_address=row["businessaddress"],
postcode=row["postcode"],
business_id=b_id,
compliant_status=row["isroadwaycompliant"],
)
if b_id:
if not Restaurant.objects.filter(business_id=b_id).exists():
yelp_rest = save_yelp_restaurant_details(b_id)
r.yelp_detail = yelp_rest
r.save()
logger.info(
"Restaurant details successfully saved: {}".format(b_id)
)
save_inspections(row, b_id)
else:
Restaurant.objects.filter(business_id=b_id).update(
compliant_status=row["isroadwaycompliant"]
)
logger.info("Restaurant details updated saved: {}".format(b_id))
save_inspections(row, b_id)
else:
logger.info(
"Saving Restaurant details with no Business ID: {}".format(b_id)
)
r.yelp_detail = None
r.save()
logger.info(
"Restaurant details saved with no business ID: {}".format(b_id)
)
save_inspections(row, b_id)
except Exception as e:
logger.error(
"Error while saving to table Restaurant: {} {}".format(b_id, e)
)
# raise
return
def save_inspections(row, business_id):
# for index, row in inspection_df.iterrows():
try:
inspect_record = InspectionRecords(
restaurant_name=row["restaurantname"],
restaurant_inspection_id=row["restaurantinspectionid"],
is_roadway_compliant=row["isroadwaycompliant"],
business_address=row["businessaddress"],
postcode=row["postcode"],
skipped_reason=row["skippedreason"],
inspected_on=row["inspectedon"],
business_id=business_id,
)
inspect_record.save()
except Exception as e:
print(e)
return
@sched.scheduled_job("interval", hours=12)
def get_inspection_data():
# ir = InspectionRecords.objects.all().count()
lastInspection = InspectionRecords.objects.order_by("-inspected_on")[0:1]
client = Socrata(
"data.cityofnewyork.us",
"dLBzJwg25psQttbxjLlQ8Z53V",
username="[email protected]",
password="Dinesafely123",
)
if lastInspection:
date = str(lastInspection[0].inspected_on)
date = date.replace(" ", "T")
date_query = "inspectedon > '" + date + "'"
results = client.get("4dx7-axux", where=date_query, limit=30000)
else:
results = client.get("4dx7-axux", limit=30000)
# Convert to pandas DataFrame
results_df = pd.DataFrame.from_records(results)
print(results_df.shape)
print(results_df.columns)
if results_df.shape[0] > 0:
restaurant_df, inspection_df = clean_inspection_data(results_df)
save_restaurants(restaurant_df, inspection_df)
# print(inspection_df)
# save_inspections(inspection_df)
sched.start()
def populate_restaurant_with_yelp_id():
restaurants = Restaurant.objects.all()[4316:6849]
limit = 3000
count = 0
for r in restaurants:
if r.business_id:
count += 1
continue
response = json.loads(match_on_yelp(r.restaurant_name, r.business_address))
if next(iter(response)) == "error":
continue
elif not response["businesses"]:
continue
else:
b_id = response["businesses"][0]["id"]
r.business_id = b_id
r.save()
count += 1
limit -= 1
if limit == 0:
break
print(count)
if __name__ == "__main__":
# # populate_restaurant_with_yelp_id()
get_inspection_data()