cron job throwing DeadlineExceededError - google-app-engine

Question

I am currently working on a google cloud project in free trial mode. I have cron job to fetch the data from a data vendor and store it in the data store. I wrote the code to fetch the data couple of weeks ago and it was all working fine but all of sudden , i started receiving error "DeadlineExceededError: The overall deadline for responding to the HTTP request was exceeded" for last two days. I believe cron job is supposed to timeout only after 60 minutes any idea why i am getting the error?.
cron task
def run():
try:
config = cron.config
actual_data_source = config['xxx']['xxxx']
original_data_source = actual_data_source
company_list = cron.rest_client.load(config, "companies", '')
if not company_list:
logging.info("Company list is empty")
return "Ok"
for row in company_list:
company_repository.save(row,original_data_source, actual_data_source)
return "OK"
Repository code
def save( dto, org_ds , act_dp):
try:
key = 'FIN/%s' % (dto['ticker'])
company = CompanyInfo(id=key)
company.stock_code = key
company.ticker = dto['ticker']
company.name = dto['name']
company.original_data_source = org_ds
company.actual_data_provider = act_dp
company.put()
return company
except Exception:
logging.exception("company_repository: error occurred saving the company
record ")
raise
RestClient
def load(config, resource, filter):
try:
username = config['xxxx']['xxxx']
password = config['xxxx']['xxxx']
headers = {"Authorization": "Basic %s" % base64.b64encode(username + ":"
+ password)}
if filter:
from_date = filter['from']
to_date = filter['to']
ticker = filter['ticker']
start_date = datetime.strptime(from_date, '%Y%m%d').strftime("%Y-%m-%d")
end_date = datetime.strptime(to_date, '%Y%m%d').strftime("%Y-%m-%d")
current_page = 1
data = []
while True:
if (filter):
url = config['xxxx']["endpoints"][resource] % (ticker, current_page, start_date, end_date)
else:
url = config['xxxx']["endpoints"][resource] % (current_page)
response = urlfetch.fetch(
url=url,
deadline=60,
method=urlfetch.GET,
headers=headers,
follow_redirects=False,
)
if response.status_code != 200:
logging.error("xxxx GET received status code %d!" % (response.status_code))
logging.error("error happend for url: %s with headers %s", url, headers)
return 'Sorry, xxxx API request failed', 500
db = json.loads(response.content)
if not db['data']:
break
data.extend(db['data'])
if db['total_pages'] == current_page:
break
current_page += 1
return data
except Exception:
logging.exception("Error occured with xxxx API request")
raise

Answer 1

I'm guessing this is the same question as this, but now with more code:
DeadlineExceededError: The overall deadline for responding to the HTTP request was exceeded
I modified your code to write to the database after each urlfetch. If there are more pages, then it relaunches itself in a deferred task, which should be well before the 10 minute timeout.
Uncaught exceptions in a deferred task cause it to retry, so be mindful of that.
It was unclear to me how actual_data_source & original_data_source worked, but I think you should be able to modify that part.
crontask
def run(current_page=0):
try:
config = cron.config
actual_data_source = config['xxx']['xxxx']
original_data_source = actual_data_source
data, more = cron.rest_client.load(config, "companies", '', current_page)
for row in data:
company_repository.save(row, original_data_source, actual_data_source)
# fetch the rest
if more:
deferred.defer(run, current_page + 1)
except Exception as e:
logging.exception("run() experienced an error: %s" % e)
RestClient
def load(config, resource, filter, current_page):
try:
username = config['xxxx']['xxxx']
password = config['xxxx']['xxxx']
headers = {"Authorization": "Basic %s" % base64.b64encode(username + ":"
+ password)}
if filter:
from_date = filter['from']
to_date = filter['to']
ticker = filter['ticker']
start_date = datetime.strptime(from_date, '%Y%m%d').strftime("%Y-%m-%d")
end_date = datetime.strptime(to_date, '%Y%m%d').strftime("%Y-%m-%d")
url = config['xxxx']["endpoints"][resource] % (ticker, current_page, start_date, end_date)
else:
url = config['xxxx']["endpoints"][resource] % (current_page)
response = urlfetch.fetch(
url=url,
deadline=60,
method=urlfetch.GET,
headers=headers,
follow_redirects=False,
)
if response.status_code != 200:
logging.error("xxxx GET received status code %d!" % (response.status_code))
logging.error("error happend for url: %s with headers %s", url, headers)
return [], False
db = json.loads(response.content)
return db['data'], (db['total_pages'] != current_page)
except Exception as e:
logging.exception("Error occured with xxxx API request: %s" % e)
return [], False

Answer 2

I would prefer to write this as a comment, but I need more reputation to do that.
What happens when you run the actual data fetch directly instead of
through the cron job?
Have you tried measuring a time delta from the start to the end of
the job?
Has the number of companies being retrieved increased dramatically?
You appear to be doing some form of stock quote aggregation - is it
possible that the provider has started blocking you?