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- Adding disable fake data functionality. Go to dashboard/report/users.py fake_data_flag = True if fake_data_flag is False, it will disable fake data. - Adding list of username and password for login Go to dashboard/report/users.py Here you can add new user for login as the following. user_list = { "alexey":"123", "username": "password", "new username": "new password" } 1. Working environment python2.7x django 1.9.4 pycharm - Install pycharm https://gist.github.com/shafi-codez/9788135 2. Run server - Pull the project from github $ git clone https://github.com/alexeygolovin5587/dashboard.git - Run Server In dashboard/, run the following command $ sudo python manage.py runserver 0.0.0.0:80 - Test file upload in local server. In data tab, you can check file upload in the firth tile. After you choose file by clicking 'choose file' button, you can see the uploaded file in \dashboard\report\static\upload. 3. Json format for users { 'full_name': 'alexey golovin', 'phone_number': '2343234', 'email': 'opsdf@gmail.com', 'location': 'russia', 'time_subscribed': '2016-2-3 00:23:12', 'link_to_google_maps_location': 'https://maps.google.com/', 'lead_score': 88, 'interests': 'sports', 'education': 'university', 'salary': '$2000', "demographics":{ "age": 29, "gender": 'man', "occupation": 'freelancer', "children": "No", "household_income": "75k-100k", "marital_status": "Single", "home_owner_status": 'Rent', "velocity": "7", }, "found_postal": { "address1": "100 MAIN ST APT 3", "address2": '', "city": 'moscow', "state": 'moscow', "zip": '213432', }, } 3. Json format for geo city, by salary, by interests,home_owner_status,education,occupation ... { 'city1': number of users, 'city2': number of users, ... } Other things have same format. 4. Json format for profile page { 'energy': { 'Epic': [0, 0, 0, 0, 0, 0.00006, 0.00011, 0.00032, 0.00110, 0.00235, 0.00369, 0.00640, 0.01005, 0.01436, 0.02063, 0.03057, 0.04618, 0.06444, 0.09822, 0.15468, 0.20434, 0.24126, 0.27387, 0.29459, 0.31056, 0.31982, 0.32040, 0.31233, 0.29224, 0.27342, 0.26662, 0.26956, 0.27912, 0.28999, 0.28965, 0.27826, 0.25579, 0.25722, 0.24826, 0.24605, 0.24304, 0.23464, 0.23708, 0.24099, 0.24357, 0.24237, 0.24401, 0.24344, 0.23586, 0.22380, 0.21004, 0.17287, 0.14747, 0.13076, 0.12555, 0.12144, 0.11009, 0.10950, 0.10871, 0.10824, 0.10577, 0.10527, 0.10475, 0.10421, 0.10358, 0.10295, 0.10104], 'MainStream':[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.00005, 0.00025, 0.00050, 0.01020, 0.00150, 0.00200, 0.00426, 0.00660, 0.00869, 0.01060, 0.01605, 0.02471, 0.03322, 0.04238, 0.05221, 0.06129, 0.07089, 0.08339, 0.09399, 0.10538, 0.11643, 0.13092, 0.14478, 0.15915, 0.17385, 0.19055, 0.21205, 0.23044, 0.25393, 0.27935, 0.30062, 0.32049, 0.33952, 0.35804, 0.37431, 0.39197, 0.45000, 0.43000, 0.41000, 0.39000, 0.37000, 0.35000, 0.33000, 0.31000, 0.29000, 0.27000, 0.25000, 0.24000, 0.23000, 0.22000, 0.21000, 0.20000, 0.19000, 0.18000, 0.18000, 0.17000, 0.16000] } 'interests': { 'Saving': 34, 'Security': 23, 'Home Improvement': 45, 'Neighbor Influence': 63 } 'tpyeofsys': { 'system':{ 'kw': 4, 'price': 23523 }, 'lilon':{ 'kw': 3, 'price': 32521 } } 'profile_image': 'images/person/default.png' }
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