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avg.py
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from ATRIlib.DB.Mongodb import db_user
import numpy as np
from ATRIlib.DB.pipeline_avg import get_avgpp_list_from_db,get_avgpt_list_from_db,get_avgtth_list_from_db
#avgpp
def calculate_avg_pp(user_id, pp_range):
result = get_avgpp_list_from_db(user_id, pp_range)
return result
def calculate_avg_pt(user_id, pt_range):
result = get_avgpt_list_from_db(user_id, pt_range)
return result
def calculate_avg_tth(user_id, tth_range):
result = get_avgtth_list_from_db(user_id, tth_range)
return result
def calculate_avg_pp_back(user_id, pp_range):
# 处理一下pp_range
now_pp = db_user.find_one({'id': user_id})['statistics']['pp']
start_pp = now_pp - pp_range
end_pp = now_pp + pp_range
range_users = db_user.find(
{'statistics.pp': {'$gt': start_pp, '$lt': end_pp}})
bp1_pps_list = []
bp2_pps_list = []
bp3_pps_list = []
bp4_pps_list = []
bp5_pps_list = []
bp100_pps_list = []
for range_user in range_users:
try:
bp1_pps_list.append(range_user['bps_pp'][0])
bp2_pps_list.append(range_user['bps_pp'][1])
bp3_pps_list.append(range_user['bps_pp'][2])
bp4_pps_list.append(range_user['bps_pp'][3])
bp5_pps_list.append(range_user['bps_pp'][4])
bp100_pps_list.append(range_user['bps_pp'][99])
except:
pass
# 随便找个list计数
users_amount = len(bp1_pps_list)
avgbp1 = np.mean(bp1_pps_list)
avgbp2 = np.mean(bp2_pps_list)
avgbp3 = np.mean(bp3_pps_list)
avgbp4 = np.mean(bp4_pps_list)
avgbp5 = np.mean(bp5_pps_list)
avgbp100 = np.mean(bp100_pps_list)
user_origin_bps_pp = db_user.find_one({'id': user_id})['bps_pp']
user_origin_bp1 = user_origin_bps_pp[0]
user_origin_bp2 = user_origin_bps_pp[1]
user_origin_bp3 = user_origin_bps_pp[2]
user_origin_bp4 = user_origin_bps_pp[3]
user_origin_bp5 = user_origin_bps_pp[4]
user_origin_bp100 = user_origin_bps_pp[99]
diffbp1 = user_origin_bp1 - avgbp1
diffbp2 = user_origin_bp2 - avgbp2
diffbp3 = user_origin_bp3 - avgbp3
diffbp4 = user_origin_bp4 - avgbp4
diffbp5 = user_origin_bp5 - avgbp5
diffbp100 = user_origin_bp100 - avgbp100
total_diff = diffbp1 + diffbp2 + diffbp3 + diffbp4 + diffbp5
return avgbp1, avgbp2, avgbp3, avgbp4, avgbp5, avgbp100, diffbp1, diffbp2, diffbp3, diffbp4, diffbp5, diffbp100, users_amount, start_pp, end_pp, user_origin_bp1, user_origin_bp2, user_origin_bp3, user_origin_bp4, user_origin_bp5, user_origin_bp100, total_diff
# 数据模块-avgtth
def calculate_avg_tth_bak(user_id, tth_range):
# tth默认单位，w
# 处理一下tth_range
now_tth = db_user.find_one({'id': user_id})[
'statistics']['total_hits']
start_tth = now_tth - tth_range
end_tth = now_tth + tth_range
range_users = db_user.find(
{'statistics.total_hits': {'$gt': start_tth, '$lt': end_tth}})
user_now_pp = db_user.find_one({'id': user_id})[
'statistics']['pp']
bp1_pps_list = []
bp2_pps_list = []
bp3_pps_list = []
bp4_pps_list = []
bp5_pps_list = []
bp100_pps_list = []
total_pps_list = []
for range_user in range_users:
try:
bp1_pps_list.append(range_user['bps_pp'][0])
bp2_pps_list.append(range_user['bps_pp'][1])
bp3_pps_list.append(range_user['bps_pp'][2])
bp4_pps_list.append(range_user['bps_pp'][3])
bp5_pps_list.append(range_user['bps_pp'][4])
bp100_pps_list.append(range_user['bps_pp'][99])
total_pps_list.append(range_user['statistics']['pp'])
except:
pass
# 随便找个list计数
users_amount = len(bp1_pps_list)
avgbp1 = np.mean(bp1_pps_list)
avgbp2 = np.mean(bp2_pps_list)
avgbp3 = np.mean(bp3_pps_list)
avgbp4 = np.mean(bp4_pps_list)
avgbp5 = np.mean(bp5_pps_list)
avgbp100 = np.mean(bp100_pps_list)
avgtotalpp = np.mean(total_pps_list)
user_origin_bps_pp = db_user.find_one({'id': user_id})['bps_pp']
user_origin_bp1 = user_origin_bps_pp[0]
user_origin_bp2 = user_origin_bps_pp[1]
user_origin_bp3 = user_origin_bps_pp[2]
user_origin_bp4 = user_origin_bps_pp[3]
user_origin_bp5 = user_origin_bps_pp[4]
user_origin_bp100 = user_origin_bps_pp[99]
diffbp1 = user_origin_bp1 - avgbp1
diffbp2 = user_origin_bp2 - avgbp2
diffbp3 = user_origin_bp3 - avgbp3
diffbp4 = user_origin_bp4 - avgbp4
diffbp5 = user_origin_bp5 - avgbp5
diffbp100 = user_origin_bp100 - avgbp100
total_diff = diffbp1 + diffbp2 + diffbp3 + diffbp4 + diffbp5
return avgbp1, avgbp2, avgbp3, avgbp4, avgbp5, avgbp100, diffbp1, diffbp2, diffbp3, diffbp4, diffbp5, diffbp100, users_amount, start_tth, end_tth, user_origin_bp1, user_origin_bp2, user_origin_bp3, user_origin_bp4, user_origin_bp5, user_origin_bp100, total_diff, avgtotalpp, user_now_pp
def calculate_avg_pt_bak(user_id, pt_range):
# pt默认单位h
# 处理一下tth_range
now_pt = db_user.find_one({'id': user_id})[
'statistics']['play_time']
start_pt = now_pt - pt_range
end_pt = now_pt + pt_range
range_users = db_user.find(
{'statistics.play_time': {'$gt': start_pt, '$lt': end_pt}})
user_now_pp = db_user.find_one({'id': user_id})[
'statistics']['pp']
bp1_pps_list = []
bp2_pps_list = []
bp3_pps_list = []
bp4_pps_list = []
bp5_pps_list = []
bp100_pps_list = []
total_pps_list = []
for range_user in range_users:
try:
bp1_pps_list.append(range_user['bps_pp'][0])
bp2_pps_list.append(range_user['bps_pp'][1])
bp3_pps_list.append(range_user['bps_pp'][2])
bp4_pps_list.append(range_user['bps_pp'][3])
bp5_pps_list.append(range_user['bps_pp'][4])
bp100_pps_list.append(range_user['bps_pp'][99])
total_pps_list.append(range_user['statistics']['pp'])
except:
pass
# 随便找个list计数
users_amount = len(bp1_pps_list)
avgbp1 = np.mean(bp1_pps_list)
avgbp2 = np.mean(bp2_pps_list)
avgbp3 = np.mean(bp3_pps_list)
avgbp4 = np.mean(bp4_pps_list)
avgbp5 = np.mean(bp5_pps_list)
avgbp100 = np.mean(bp100_pps_list)
avgtotalpp = np.mean(total_pps_list)
user_origin_bps_pp = db_user.find_one({'id': user_id})['bps_pp']
user_origin_bp1 = user_origin_bps_pp[0]
user_origin_bp2 = user_origin_bps_pp[1]
user_origin_bp3 = user_origin_bps_pp[2]
user_origin_bp4 = user_origin_bps_pp[3]
user_origin_bp5 = user_origin_bps_pp[4]
user_origin_bp100 = user_origin_bps_pp[99]
diffbp1 = user_origin_bp1 - avgbp1
diffbp2 = user_origin_bp2 - avgbp2
diffbp3 = user_origin_bp3 - avgbp3
diffbp4 = user_origin_bp4 - avgbp4
diffbp5 = user_origin_bp5 - avgbp5
diffbp100 = user_origin_bp100 - avgbp100
total_diff = diffbp1 + diffbp2 + diffbp3 + diffbp4 + diffbp5
return avgbp1, avgbp2, avgbp3, avgbp4, avgbp5, avgbp100, diffbp1, diffbp2, diffbp3, diffbp4, diffbp5, diffbp100, users_amount, start_pt, end_pt, user_origin_bp1, user_origin_bp2, user_origin_bp3, user_origin_bp4, user_origin_bp5, user_origin_bp100, total_diff, avgtotalpp, user_now_pp