/
wdn_api.py
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/
wdn_api.py
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from multiprocessing import get_context
import multiprocessing
from prettyprinter import cpprint as pprint
import requests
from retry import retry
from config import LOGGER
from functools import partial
import timeout_decorator
DEFAULT_PAGE_SIZE = 20
PARALLEL_PROCESS_COUNT = 5
REQUEST_TIMEOUT = 40
ITERATION_CHUNK_SIZE = 50
API_URL = "https://www.whatdropsnow.com/api/v1"
def get_brand(brand_name, page_size=DEFAULT_PAGE_SIZE, request_callback=None):
resource_uri = "/searches/brand_search?q={}".format(brand_name)
brands = paginate_request(resource_uri, page_size, request_callback)
brands = [
brand
for brand in brands
if brand["attributes"]["name"].lower() == brand_name.lower()
]
if not brands:
raise Exception("brand {} not found!".format(brand_name))
return brands[0]
def products_add_brand_id(response_data, brand_id):
products_with_brand_id = [
dict(product, **{"brand_id": brand_id}) for product in response_data
]
return products_with_brand_id
def get_products(brand_id, page_size=DEFAULT_PAGE_SIZE, request_callback=None):
resource_uri = "/brands/{}/products".format(brand_id)
modified_callback = (lambda resp: request_callback(products_add_brand_id(resp, brand_id)))
products = paginate_request(resource_uri, page_size, modified_callback)
products_with_brand_id = [
dict(product, **{"brand_id": brand_id}) for product in products
]
return products_with_brand_id
def get_retailers(retailer_ids, request_callback=None):
return iteration_request_multithread("/retailers/{}", retailer_ids, request_callback, request_callback=request_callback, processes=PARALLEL_PROCESS_COUNT)
def get_products_offers(product_ids, request_callback=None):
offers = iteration_request_multithread("/products/{}/offers", product_ids, request_callback=request_callback, processes=PARALLEL_PROCESS_COUNT)
flat_offers = [
offer
for offer_data in offers
for offer in offer_data
if offer["attributes"]["product_id"] in product_ids
]
return flat_offers
@timeout_decorator.timeout(REQUEST_TIMEOUT)
@retry(delay=1, backoff=2, max_delay=60, tries=10)
def request(api_uri, ignore_404=False):
request = requests.get("{}{}".format(API_URL, api_uri))
if request.status_code == 404 and ignore_404:
LOGGER.error("request failed 404 - {}".format(api_uri))
return
if not request.ok:
raise Exception(
"request failed with status: {} for url: {}".format(
request.status_code, request.url
)
)
return request.json()
def iteration_request(id, uri_templete, ignore_404, request_callback):
resource_uri = uri_templete.format(id)
response = request(resource_uri, ignore_404=ignore_404)
if response and response['data']:
if request_callback:
request_callback(response['data'])
LOGGER.info("{} - done".format(resource_uri))
return response['data']
LOGGER.info("{} - response empty".format(resource_uri))
return {}
def chunks(lst, chunk_size):
for i in range(0, len(lst), chunk_size):
chunk = lst[i:i + chunk_size]
yield chunk, i+chunk_size
def iteration_request_multithread(uri_templete, ids, ignore_404=True, request_callback=None, processes=1):
iteration_request_=partial(iteration_request, uri_templete=uri_templete, ignore_404=ignore_404, request_callback=request_callback)
records = []
for ids_chunk, i in chunks(ids, chunk_size=ITERATION_CHUNK_SIZE):
with get_context("spawn").Pool(processes=processes) as pool:
records += pool.map(iteration_request_, ids_chunk)
records = [record for record in records if record]
LOGGER.info(
"Processed: {}/{}, records with values: {}".format(
i, len(ids), len(records)
)
)
return records
def paginate_request(resource_uri, page_size, request_callback=None):
page = 1
data = []
while True:
param_prefix = "&" if "?" in resource_uri else "?"
pagination_params = "{}page={}&page_size={}".format(
param_prefix, page, page_size
)
api_uri = "{resource_uri}{pagination_params}".format(
resource_uri=resource_uri, pagination_params=pagination_params
)
response = request(api_uri)
response_data = response["data"]
if request_callback:
request_callback(response_data)
data += response_data
if not data:
break
total_count = response["meta"]["page"]["total_count"]
page = response["meta"]["page"]["current_page"]
records_fetched_count = page_size * page
LOGGER.info(
"paginate_request: {}\t records fetched: {}/{}".format(
resource_uri, records_fetched_count, total_count
)
)
if records_fetched_count >= total_count:
break
page += 1
return data