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utils.py
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utils.py
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import os
import requests
from typing import List
from tqdm import tqdm
from dotenv import load_dotenv
from yelpapi import YelpAPI
import pandas as pd
import numpy as np
def get_restaurant_id(name: str, location: str, google_api_key: str):
inputtype = "textquery"
fields = ["name", "place_id"]
name = name + " " + location
name = name.replace(" ", "%20")
fields = "%2C".join(fields)
payload = {}
headers = {}
try:
url = f"https://maps.googleapis.com/maps/api/place/findplacefromtext/json?input={name}&inputtype={inputtype}&fields={fields}&key={google_api_key}"
response = requests.request("GET", url, headers=headers, data=payload)
data = response.json()
place_id = data["candidates"][0]["place_id"]
except:
name = name + " " + location + " restaurant"
url = f"https://maps.googleapis.com/maps/api/place/findplacefromtext/json?input={name}&inputtype={inputtype}&fields={fields}&key={google_api_key}"
response = requests.request("GET", url, headers=headers, data=payload)
data = response.json()
place_id = data["candidates"][0]["place_id"]
return place_id
def get_info_from_id(
name: str, place_id: str, location: str, google_api_key: str, yelp_api_key: str
):
fields = ["name", "rating", "address_components", "website", "price_level"]
fields = "%2C".join(fields)
url = f"https://maps.googleapis.com/maps/api/place/details/json?place_id={place_id}&fields={fields}&key={google_api_key}"
payload = {}
headers = {}
response = requests.request("GET", url, headers=headers, data=payload)
data = response.json()
if not data["result"]:
print(name, data)
return
result = data["result"]
result["found_name"] = result["name"]
result["name"] = name
result["address_components"] = list(
filter(
lambda x: "locality" in x["types"] or "sublocality_level_1" in x["types"],
result["address_components"],
)
)
result["address_components"] = result["address_components"][0]["short_name"]
with YelpAPI(yelp_api_key) as yelp_api:
search_results = yelp_api.search_query(
term=name, location=f'{result["address_components"]}, {location}', limit=1
)
try:
restaurant_data = search_results["businesses"][0]
result["cuisine"] = ", ".join(
list(map(lambda x: x["title"], restaurant_data["categories"]))
)
result["yelp_rating"] = restaurant_data["rating"]
if "price_level" not in result:
result["price_level"] = restaurant_data["price"]
except:
pass
return result
def data_pipeline(restaurant_list: List[str], location: str):
load_dotenv()
google_api_key = os.getenv("GOOGLE_MAPS_API_KEY")
yelp_api_key = os.getenv("YELP_API_KEY")
data = []
for restaurant in tqdm(restaurant_list):
place_id = get_restaurant_id(restaurant, location, google_api_key)
restaurant_data = get_info_from_id(
restaurant, place_id, location, google_api_key, yelp_api_key
)
data.append(restaurant_data)
start_cols = [
"name",
"found_name",
"website",
"cuisine",
"rating",
"yelp_rating",
"price_level",
"address_components",
]
end_cols = [
"Name",
"Found Name",
"Website",
"Cuisine",
"Location",
"Cost",
"Notes",
"Google Rating",
"Yelp Rating",
]
df = pd.DataFrame(data, columns=start_cols)
df["price_level"] = df["price_level"].replace(
{1: "$", 2: "$$", 3: "$$$", 4: "$$$$"}
)
df["Notes"] = np.array([""] * len(df))
df = df.replace(np.nan, "")
df = df.rename(
columns={
"name": "Name",
"found_name": "Found Name",
"cuisine": "Cuisine",
"website": "Website",
"rating": "Google Rating",
"yelp_rating": "Yelp Rating",
"address_components": "Location",
"price_level": "Cost",
}
)
df = df[end_cols]
return df