Spaces:
Running
Running
File size: 5,729 Bytes
4f7effb a4cc435 294884c 86255b9 da561bd a4cc435 86255b9 a4cc435 86255b9 4f7effb a4cc435 4f7effb a4cc435 294884c 4f7effb 86255b9 da561bd 86255b9 a4cc435 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 |
from gamification.objects import PlatformEngagement, UserFeedback, UserLevel, UserPoints,CustomerInfo,Customer,IndividualUserLevel,Points,SimpleIndividualUserLevel
from gamification.levelLogic import create_level_func,get_all_levels_func,edit_level_func,delete_level_func
from gamification.imports import *
from gamification.pointLogic import create_points_func,get_all_simple_points_func,get_all_points_func
from concurrent.futures import ThreadPoolExecutor
executor = ThreadPoolExecutor(max_workers=5)
# Normal Math
def caculate_rate_change_func(c0,c1,days_ago):
if c0 == 0:
if c1 > 0:
# If there are customers now, but no customers initially (c0 is 0),
# we consider it as infinite growth or 100% growth
print("here")
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": 9999999999999999999999999999999999999999999999999999999, "GrowthRateType": "positive"}
elif c1 == 0:
# If both c0 and c1 are zero, there is no change
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": 0.0, "GrowthRateType": "neutral"}
else:
# This case is for when c1 < 0, but it's unlikely in a customer count scenario.
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": -999999999999999999999999999999999999999999999999999999, "GrowthRateType": "negative"}
elif c1 > c0:
# Positive growth rate: c1 > c0
e = c1 - c0
b = e / c0
d = b * 100
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": d, "GrowthRateType": "positive"}
elif c1 < c0:
# Negative growth rate: c1 < c0
e = c0 - c1
b = e / c0
d = b * 100
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": d, "GrowthRateType": "negative"}
elif c1 == c0:
# No change: c1 == c0
return {"daysAgo":days_ago,"totalCustomers": c1, "GrowthRate": 0.0, "GrowthRateType": "neutral"}
MONGO_URI = os.getenv("MONGO_URI")
# Levels
# points
# feedback
def create_feedback_func(document:UserFeedback)->bool:
db_uri = MONGO_URI
db_name = "crayonics"
collection_name="Feedback"
client = MongoClient(db_uri)
db = client[db_name]
collection = db[collection_name]
# Insert the document
if document!=None:
feedbackPoints= Points(userId=document.userId,platformEngagement=PlatformEngagement(providing_feedback=15))
executor.submit(create_points_func, document=feedbackPoints)
result = collection.insert_one(document.model_dump())
return True
else:
client.close()
return False
def get_all_feedback_func() -> List[UserFeedback]:
# MongoDB URI and configuration
db_uri = MONGO_URI
db_name = "crayonics"
collection_name="Feedback"
client = MongoClient(db_uri)
db = client[db_name]
collection = db[collection_name]
# Fetch all documents from the collection
feedback_cursor = collection.find() # This returns a cursor to the documents
# Convert the cursor to a list of UserLevel objects
feedbacks = [UserFeedback(**feedback) for feedback in feedback_cursor]
return feedbacks
def get_all_customer_info()->List[CustomerInfo]:
db_uri=MONGO_URI
db_name = "crayonics"
collection_name = "users"
client = MongoClient(db_uri)
db = client[db_name]
collection = db[collection_name]
# Fetch all documents from the collection
customer_cursor = collection.find() # This returns a cursor to the documents
# Convert the cursor to a list of Customer objects, setting a default date_Joined if it's missing
customers = []
customer_info = []
for customer in customer_cursor:
# If date_Joined is missing, add the default value (current datetime)
if 'date_Joined' not in customer:
print("adding a new date")
customer['date_Joined'] = datetime.now()
collection.update_one(filter={"_id":ObjectId(customer['_id'])},update={"$set":customer})
customers.append(Customer(**customer)) # Create Customer model with the filled data
dt_now = datetime.now()
thirty_days_ago = dt_now - timedelta(days=30)
sixty_days_ago = dt_now - timedelta(days=60)
ninty_days_ago = dt_now - timedelta(days=90)
all_customer_from_30_days_ago = [customer for customer in customers if customer.date_Joined <=thirty_days_ago]
all_customer_from_60_days_ago = [customer for customer in customers if customer.date_Joined <=sixty_days_ago]
all_customer_from_90_days_ago = [customer for customer in customers if customer.date_Joined <=ninty_days_ago]
rate_30_days = caculate_rate_change_func(c0=len(all_customer_from_30_days_ago),c1=len(customers),days_ago=30)
rate_60_days = caculate_rate_change_func(c0=len(all_customer_from_60_days_ago),c1=len(customers),days_ago=60)
rate_90_days = caculate_rate_change_func(c0=len(all_customer_from_90_days_ago),c1=len(customers),days_ago=90)
list_of_rates= [rate_30_days,rate_60_days,rate_90_days]
for rate in list_of_rates:
customer_info.append(CustomerInfo(**rate))
return customer_info
# Leaderboard Logic
def get_top_30():
db_uri=MONGO_URI
db_name = "crayonics"
collection_name = "LeaderBoard"
client = MongoClient(db_uri)
db = client[db_name]
collection = db[collection_name]
sorted_documents = collection.find().sort([("totalpoints", -1), ("lastName", 1)]).limit(30)
rankers = [
{**r, 'rank': i + 1} # Add 'rank' to the document with i+1 (1-based index)
for i, r in enumerate(sorted_documents)
]
return rankers
|