def post(self):
"""
"""
__eatery_id = self.get_argument("__eatery_id", None)
eatery_name = self.get_argument("eatery_name", None)
if __eatery_id:
result = r_eateries.find_one({"__eatery_id": __eatery_id})
else:
result = r_eateries.find_one({"eatery_name": eatery_name})
__eatery_id = result.get("__eatery_id")
if not result:
"""
If the eatery name couldnt found in the mongodb for the popular matches
Then we are going to check for demarau levenshetin algorithm for string similarity
"""
self.write({
"success":
False,
"error":
True,
"result":
"Somehow eatery with this eatery is not present in the DB"
})
self.finish()
return
__result = process_result(result)
__result.update({"images": result["pictures"][0:2]})
self.write({"success": True, "error": False, "result": __result})
self.finish()
return
def fetch_nps_frm_eatery(self, category, sub_category=None):
if category == "food":
if not sub_category:
raise StandardError(
"Food Category shall be provided to fecth nps")
return r_eateries.find_one({
"eatery_id": self.eatery_id
}).get(category).get(sub_category)
return r_eateries.find_one({"eatery_id": self.eatery_id}).get(category)
def processed_reviews(self):
return r_eateries.find_one({
"eatery_id": self.eatery_id
}, {
"_id": False,
"processed_reviews": True
}).get("processed_reviews")
def places_mentioned_for_eatery(self):
result = r_eateries.find_one({
"eatery_id": self.eatery_id
}, {
"places": True
}).get("places")
if result:
return [place_name for place_name in result if place_name]
return []
def processed_clusters(self):
"""
This returns all the noun phrases that already have been processed for
teh eatery id
"""
return r_eateries.find_one({
"eatery_id": self.eatery_id
}, {
"_id": False,
noun_phrases: True
}).get("noun_phrases")
def old_considered_ids(self):
"""
Returns review_ids whose noun_phrases has already been taken into account,
which means Clusteirng algorithms has already been done on the noun phrases
of these review ids and is stored under noun_phrases key of eatery
nd these review ids has been stored under old_considered_ids
"""
try:
old_considered_ids = r_eateries.find_one(
{
"eatery_id": self.eatery_id
}, {
"_id": False,
"old_considered_ids": True
}).get("old_considered_ids")
except Exception as e:
print e
old_considered_ids = None
return old_considered_ids
def post(self):
"""
This api will be called when a user selects or enter a query in search box
"""
text = self.get_argument("text")
__type = self.get_argument("type")
if __type == "dish":
"""
It might be a possibility that the user enetered the dish which wasnt in autocomplete
then we have to search exact dish name of seach on Laveneshtein algo
"""
##search in ES for dish name
result = list()
__result = ElasticSearchScripts.get_dish_match(text)
for dish in __result:
eatery_id = dish.get("eatery_id")
__eatery_details = r_clip_eatery.find_one(
{"eatery_id": eatery_id})
for e in [
"eatery_highlights", "eatery_cuisine",
"eatery_trending", "eatery_known_for", "eatery_type",
"_id"
]:
try:
__eatery_details.pop(e)
except Exception as e:
print e
pass
dish.update({"eatery_details": __eatery_details})
result.append(dish)
elif __type == "cuisine":
##gives out the restarant for cuisine name
print "searching for cuisine"
result = list()
__result = ElasticSearchScripts.eatery_on_cuisines(text)
print __result
for eatery in __result:
__result= short_eatery_result_collection.find_one({"__eatery_id": eatery.get("__eatery_id")}, {"_id": False, "food": True, "ambience": True, \
"cost":True, "service": True, "menu": True, "overall": True, "location": True, "eatery_address": True, "eatery_name": True, "__eatery_id": True})
eatery.update({"eatery_details": __result})
result.append(eatery)
elif __type == "eatery":
##TODO : Some issue with the restaurant chains for example
##big chills at different locations, DOnt know why ES
##not returning multiple results
##TODO: dont know why dropped nps are still in result.
result = r_eateries.find_one({"eatery_name": text}, {
"_id": False,
"eatery_known_for": False,
"droppped_nps": False,
"eatery_trending": False,
"eatery_highlights": False
})
print result.get("eatery_id")
__result = process_result(result)
pictures = result.pop("pictures")
result.update({"pictures": pictures[0:2]})
result.update(__result)
result = [result]
elif not __type:
print "No type defined"
else:
print __type
self.write({
"success": False,
"error": True,
"messege": "Maaf kijiyega, Yeh na ho paayega",
})
self.finish()
return
print result
self.write({
"success": True,
"error": False,
"result": result,
})
self.finish()
return