2018-05-04 13:53:29 +02:00
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#!/usr/bin/env python3
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2016-12-09 08:46:37 +01:00
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# -*-coding:UTF-8 -*
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'''
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Flask functions and routes for the trending modules page
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'''
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2022-11-28 15:01:40 +01:00
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import os
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import sys
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2016-12-09 08:46:37 +01:00
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import datetime
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import flask
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2017-04-19 11:02:03 +02:00
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from flask import Flask, render_template, jsonify, request, Blueprint
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2019-06-19 17:02:09 +02:00
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2019-11-20 16:15:08 +01:00
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from Role_Manager import login_admin, login_analyst, login_read_only
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2019-05-02 17:31:14 +02:00
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from flask_login import login_required
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2016-12-09 08:46:37 +01:00
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2022-11-28 15:01:40 +01:00
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sys.path.append(os.environ['AIL_BIN'])
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##################################
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# Import Project packages
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##################################
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from packages.Date import Date
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2016-12-09 08:46:37 +01:00
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# ============ VARIABLES ============
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import Flask_config
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app = Flask_config.app
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2018-09-20 10:38:19 +02:00
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baseUrl = Flask_config.baseUrl
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2016-12-09 08:46:37 +01:00
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r_serv_charts = Flask_config.r_serv_charts
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2017-04-19 11:02:03 +02:00
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trendingmodules = Blueprint('trendingmodules', __name__, template_folder='templates')
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2016-12-09 08:46:37 +01:00
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# ============ FUNCTIONS ============
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# Iterate over elements in the module provided and return the today data or the last data
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# return format: [('passed_days', num_of_passed_days), ('elem_name1', elem_value1), ('elem_name2', elem_value2)]]
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def get_top_relevant_data(server, module_name):
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days = 0
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for date in get_date_range(15):
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redis_progression_name_set = 'top_'+ module_name +'_set_' + date
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member_set = server.zrevrangebyscore(redis_progression_name_set, '+inf', '-inf', withscores=True)
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2018-04-17 16:06:32 +02:00
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2018-05-04 13:53:29 +02:00
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if len(member_set) == 0: #No data for this date
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2016-12-09 08:46:37 +01:00
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days += 1
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else:
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2018-05-04 13:53:29 +02:00
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member_set.insert(0, ("passed_days", days))
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return member_set
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2016-12-09 08:46:37 +01:00
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def get_date_range(num_day):
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curr_date = datetime.date.today()
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date = Date(str(curr_date.year)+str(curr_date.month).zfill(2)+str(curr_date.day).zfill(2))
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date_list = []
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for i in range(0, num_day+1):
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date_list.append(date.substract_day(i))
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return date_list
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# ============ ROUTES ============
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2017-04-19 11:02:03 +02:00
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@trendingmodules.route("/_moduleCharts", methods=['GET'])
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2019-05-02 17:31:14 +02:00
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@login_required
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2019-11-20 16:15:08 +01:00
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@login_read_only
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2016-12-09 08:46:37 +01:00
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def modulesCharts():
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keyword_name = request.args.get('keywordName')
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module_name = request.args.get('moduleName')
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bar_requested = True if request.args.get('bar') == "true" else False
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if (bar_requested):
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num_day = int(request.args.get('days'))
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bar_values = []
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date_range = get_date_range(num_day)
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# Retreive all data from the last num_day
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for date in date_range:
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curr_value = r_serv_charts.hget(date, module_name+'-'+keyword_name)
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bar_values.append([date[0:4]+'/'+date[4:6]+'/'+date[6:8], int(curr_value if curr_value is not None else 0)])
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bar_values.insert(0, keyword_name)
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return jsonify(bar_values)
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else:
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member_set = get_top_relevant_data(r_serv_charts, module_name)
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2016-12-26 16:33:10 +01:00
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member_set = member_set if member_set is not None else []
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2016-12-09 08:46:37 +01:00
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if len(member_set) == 0:
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member_set.append(("No relevant data", int(100)))
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return jsonify(member_set)
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2017-04-19 11:02:03 +02:00
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@trendingmodules.route("/_providersChart", methods=['GET'])
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2019-05-02 17:31:14 +02:00
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@login_required
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2019-11-20 16:15:08 +01:00
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@login_read_only
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2016-12-09 08:46:37 +01:00
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def providersChart():
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keyword_name = request.args.get('keywordName')
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module_name = request.args.get('moduleName')
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bar_requested = True if request.args.get('bar') == "true" else False
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if (bar_requested):
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num_day = int(request.args.get('days'))
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bar_values = []
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date_range = get_date_range(num_day)
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# Retreive all data from the last num_day
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for date in date_range:
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2018-04-17 16:06:32 +02:00
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curr_value_size = ( r_serv_charts.hget(keyword_name+'_'+'size', date) )
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if curr_value_size is not None:
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2018-05-04 13:53:29 +02:00
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curr_value_size = curr_value_size
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2018-04-17 16:06:32 +02:00
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2016-12-09 08:46:37 +01:00
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curr_value_num = r_serv_charts.hget(keyword_name+'_'+'num', date)
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2018-04-17 16:06:32 +02:00
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2016-12-09 08:46:37 +01:00
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curr_value_size_avg = r_serv_charts.hget(keyword_name+'_'+'avg', date)
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2018-04-17 16:06:32 +02:00
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if curr_value_size_avg is not None:
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2018-05-04 13:53:29 +02:00
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curr_value_size_avg = curr_value_size_avg
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2018-04-17 16:06:32 +02:00
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2016-12-09 08:46:37 +01:00
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if module_name == "size":
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curr_value = float(curr_value_size_avg if curr_value_size_avg is not None else 0)
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else:
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curr_value = float(curr_value_num if curr_value_num is not None else 0.0)
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bar_values.append([date[0:4]+'/'+date[4:6]+'/'+date[6:8], curr_value])
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bar_values.insert(0, keyword_name)
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return jsonify(bar_values)
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else:
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#redis_provider_name_set = 'top_size_set' if module_name == "size" else 'providers_set'
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redis_provider_name_set = 'top_avg_size_set_' if module_name == "size" else 'providers_set_'
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redis_provider_name_set = redis_provider_name_set + get_date_range(0)[0]
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2018-04-17 16:06:32 +02:00
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2016-12-09 08:46:37 +01:00
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member_set = r_serv_charts.zrevrangebyscore(redis_provider_name_set, '+inf', '-inf', withscores=True, start=0, num=8)
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2018-04-17 16:06:32 +02:00
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2016-12-09 08:46:37 +01:00
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# Member set is a list of (value, score) pairs
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2018-05-04 13:53:29 +02:00
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if len(member_set) == 0:
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2018-05-04 14:25:47 +02:00
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member_set.append(("No relevant data", float(100)))
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2018-05-04 13:53:29 +02:00
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return jsonify(member_set)
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2016-12-09 08:46:37 +01:00
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2017-04-19 11:02:03 +02:00
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@trendingmodules.route("/moduletrending/")
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2019-05-02 17:31:14 +02:00
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@login_required
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2019-11-20 16:15:08 +01:00
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@login_read_only
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2016-12-09 08:46:37 +01:00
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def moduletrending():
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return render_template("Moduletrending.html")
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2017-04-19 11:02:03 +02:00
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# ========= REGISTRATION =========
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2018-09-20 10:38:19 +02:00
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app.register_blueprint(trendingmodules, url_prefix=baseUrl)
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