├── README.md ├── als_model.data ├── data │ ├── product │ │ ├── ._SUCCESS.crc │ │ ├── ._common_metadata.crc │ │ ├── ._metadata.crc │ │ ├── .part-r-00000-f84d648d-b491-4392-903a-805ae88196b4.gz.parquet.crc │ │ ├── _SUCCESS │ │ ├── _common_metadata │ │ ├── _metadata │ │ └── part-r-00000-f84d648d-b491-4392-903a-805ae88196b4.gz.parquet │ └── user │ │ ├── ._SUCCESS.crc │ │ ├── ._common_metadata.crc │ │ ├── ._metadata.crc │ │ ├── .part-r-00000-4912439e-a0eb-443d-aada-aee280bfc192.gz.parquet.crc │ │ ├── _SUCCESS │ │ ├── _common_metadata │ │ ├── _metadata │ │ └── part-r-00000-4912439e-a0eb-443d-aada-aee280bfc192.gz.parquet └── metadata │ ├── ._SUCCESS.crc │ ├── .part-00000.crc │ ├── _SUCCESS │ └── part-00000 ├── config.py ├── config.pyc ├── dataset └── data_model │ ├── genre.csv │ ├── movies.csv │ ├── ratings.csv │ └── user.csv ├── engine ├── __init__.py ├── __init__.pyc ├── rec_engine.py └── rec_engine.pyc ├── home.png ├── recommend.png ├── server.py ├── server.pyc ├── start_sh.sh └── webapp ├── __init__.py ├── __init__.pyc ├── main ├── __init__.py ├── __init__.pyc ├── forms.py ├── forms.pyc ├── movies.py ├── movies.pyc ├── recommend.py ├── recommend.pyc ├── users.py └── users.pyc └── templates ├── base.html ├── edit_movie_form.html ├── edit_rate_form.html ├── edit_user_form.html ├── index.html ├── movie.html ├── movies.html ├── rate.html ├── recommends.html ├── test.html ├── user.html ├── user_rate_movie.html └── users.html /README.md: -------------------------------------------------------------------------------- 1 | # Spark_Movie_recsys 2 | 在Spark环境下，利用Flask框架，采用Mongodb设计的一个在线电影推荐系统的演示demo 3 | #环境配置 4 | 1.Kubuntu 13.04 64bit 5 | 6 | 2.Spark 1.5 7 | 8 | 3.Flask 9 | 10 | 4.Mongodb 11 | 12 | 5.Python 2.7 13 | 14 | #演示结果 15 | ![image](https://github.com/dreamcity/Spark_Movie_recsys/raw/master/home.png) 16 | ![image](https://github.com/dreamcity/Spark_Movie_recsys/raw/master/recommend.png) 17 | -------------------------------------------------------------------------------- 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/als_model.data/metadata/part-00000: -------------------------------------------------------------------------------- 1 | {"class":"org.apache.spark.mllib.recommendation.MatrixFactorizationModel","version":"1.0","rank":8} 2 | -------------------------------------------------------------------------------- /config.py: -------------------------------------------------------------------------------- 1 | from pymongo import MongoClient 2 | 3 | WTF_CSRF_ENABLED = True 4 | SECRET_KEY = 'This is a movie recsys demo!' 5 | DB_NAME = 'recommendation' 6 | 7 | DATABASE = MongoClient()[DB_NAME] 8 | MOVIES_COLLECTION = DATABASE.movie 9 | USERS_COLLECTION = DATABASE.user 10 | RATE_COLLECTION = DATABASE.rate 11 | GENRE_COLLECTION = DATABASE.genre 12 | 13 | TOTAL_USERS = 0 14 | TOTAL_MOVIES = 0 15 | RECOMMEND_NUMS = 5 16 | DEBUG = True -------------------------------------------------------------------------------- /config.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/config.pyc -------------------------------------------------------------------------------- /dataset/data_model/genre.csv: -------------------------------------------------------------------------------- 1 | { "_id" : { "$oid" : "5666f322ba87840a40bcdded" }, "11" : "Horror", "10" : "Film-Noir", "13" : "Mystery", "12" : "Musical", "15" : "Sci-Fi", "14" : "Romance", "17" : "War", "16" : "Thriller", "18" : "Western", "1" : "Action", "0" : "unknown", "3" : "Animation", "2" : "Adventure", "5" : "Comedy", "4" : "Children's", "7" : "Documentary", "6" : "Crime", "9" : "Fantasy", "8" : "Drama" } 2 | -------------------------------------------------------------------------------- /dataset/data_model/user.csv: -------------------------------------------------------------------------------- 1 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ac" }, "age" : 23, "gender" : "F", "id" : 1, "name" : "dreamcity", "occupation" : "student", "zip_code" : "85711" } 2 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ad" }, "occupation" : "other", "gender" : "F", "age" : "53", "id" : 2, "zip_code" : "94043" } 3 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ae" }, "occupation" : "writer", "gender" : "M", "age" : "23", "id" : 3, "zip_code" : "32067" } 4 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3af" }, "occupation" : "technician", "gender" : "M", "age" : "24", "id" : 4, "zip_code" : "43537" } 5 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b0" }, "occupation" : "other", "gender" : "F", "age" : "33", "id" : 5, "zip_code" : "15213" } 6 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b1" }, "occupation" : "executive", "gender" : "M", "age" : "42", "id" : 6, "zip_code" : "98101" } 7 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b2" }, "occupation" : "administrator", "gender" : "M", "age" : "57", "id" : 7, "zip_code" : "91344" } 8 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b3" }, "occupation" : "administrator", "gender" : "M", "age" : "36", "id" : 8, "zip_code" : "05201" } 9 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b4" }, "occupation" : "student", "gender" : "M", "age" : "29", "id" : 9, "zip_code" : "01002" } 10 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b5" }, "occupation" : "lawyer", "gender" : "M", "age" : "53", "id" : 10, "zip_code" : "90703" } 11 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b6" }, "occupation" : "other", "gender" : "F", "age" : "39", "id" : 11, "zip_code" : "30329" } 12 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b7" }, "occupation" : "other", "gender" : "F", "age" : "28", "id" : 12, "zip_code" : "06405" } 13 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b8" }, "occupation" : "educator", "gender" : "M", "age" : "47", "id" : 13, "zip_code" : "29206" } 14 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3b9" }, "occupation" : "scientist", "gender" : "M", "age" : "45", "id" : 14, "zip_code" : "55106" } 15 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ba" }, "occupation" : "educator", "gender" : "F", "age" : "49", "id" : 15, "zip_code" : "97301" } 16 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3bb" }, "occupation" : "entertainment", "gender" : "M", "age" : "21", "id" : 16, "zip_code" : "10309" } 17 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3bc" }, "occupation" : "programmer", "gender" : "M", "age" : "30", "id" : 17, "zip_code" : "06355" } 18 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3bd" }, "occupation" : "other", "gender" : "F", "age" : "35", "id" : 18, "zip_code" : "37212" } 19 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3be" }, "occupation" : "librarian", "gender" : "M", "age" : "40", "id" : 19, "zip_code" : "02138" } 20 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3bf" }, "occupation" : "homemaker", "gender" : "F", "age" : "42", "id" : 20, "zip_code" : "95660" } 21 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c0" }, "occupation" : "writer", "gender" : "M", "age" : "26", "id" : 21, "zip_code" : "30068" } 22 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c1" }, "occupation" : "writer", "gender" : "M", "age" : "25", "id" : 22, "zip_code" : "40206" } 23 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c2" }, "occupation" : "artist", "gender" : "F", "age" : "30", "id" : 23, "zip_code" : "48197" } 24 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c3" }, "occupation" : "artist", "gender" : "F", "age" : "21", "id" : 24, "zip_code" : "94533" } 25 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c4" }, "occupation" : "engineer", "gender" : "M", "age" : "39", "id" : 25, "zip_code" : "55107" } 26 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c5" }, "occupation" : "engineer", "gender" : "M", "age" : "49", "id" : 26, "zip_code" : "21044" } 27 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c6" }, "occupation" : "librarian", "gender" : "F", "age" : "40", "id" : 27, "zip_code" : "30030" } 28 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c7" }, "occupation" : "writer", "gender" : "M", "age" : "32", "id" : 28, "zip_code" : "55369" } 29 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c8" }, "occupation" : "programmer", "gender" : "M", "age" : "41", "id" : 29, "zip_code" : "94043" } 30 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3c9" }, "occupation" : "student", "gender" : "M", "age" : "7", "id" : 30, "zip_code" : "55436" } 31 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ca" }, "occupation" : "artist", "gender" : "M", "age" : "24", "id" : 31, "zip_code" : "10003" } 32 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3cb" }, "occupation" : "student", "gender" : "F", "age" : "28", "id" : 32, "zip_code" : "78741" } 33 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3cc" }, "occupation" : "student", "gender" : "M", "age" : "23", "id" : 33, "zip_code" : "27510" } 34 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3cd" }, "occupation" : "administrator", "gender" : "F", "age" : "38", "id" : 34, "zip_code" : "42141" } 35 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3ce" }, "occupation" : "homemaker", "gender" : "F", "age" : "20", "id" : 35, "zip_code" : "42459" } 36 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3cf" }, "occupation" : "student", "gender" : "F", "age" : "19", "id" : 36, "zip_code" : "93117" } 37 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d0" }, "occupation" : "student", "gender" : "M", "age" : "23", "id" : 37, "zip_code" : "55105" } 38 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d1" }, "occupation" : "other", "gender" : "F", "age" : "28", "id" : 38, "zip_code" : "54467" } 39 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d2" }, "occupation" : "entertainment", "gender" : "M", "age" : "41", "id" : 39, "zip_code" : "01040" } 40 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d3" }, "occupation" : "scientist", "gender" : "M", "age" : "38", "id" : 40, "zip_code" : "27514" } 41 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d4" }, "occupation" : "engineer", "gender" : "M", "age" : "33", "id" : 41, "zip_code" : "80525" } 42 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d5" }, "occupation" : "administrator", "gender" : "M", "age" : "30", "id" : 42, "zip_code" : "17870" } 43 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d6" }, "occupation" : "librarian", "gender" : "F", "age" : "29", "id" : 43, "zip_code" : "20854" } 44 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d7" }, "occupation" : "technician", "gender" : "M", "age" : "26", "id" : 44, "zip_code" : "46260" } 45 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d8" }, "occupation" : "programmer", "gender" : "M", "age" : "29", "id" : 45, "zip_code" : "50233" } 46 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3d9" }, "occupation" : "marketing", "gender" : "F", "age" : "27", "id" : 46, "zip_code" : "46538" } 47 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3da" }, "occupation" : "marketing", "gender" : "M", "age" : "53", "id" : 47, "zip_code" : "07102" } 48 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3db" }, "occupation" : "administrator", "gender" : "M", "age" : "45", "id" : 48, "zip_code" : "12550" } 49 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3dc" }, "occupation" : "student", "gender" : "F", "age" : "23", "id" : 49, "zip_code" : "76111" } 50 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3dd" }, "occupation" : "writer", "gender" : "M", "age" : "21", "id" : 50, "zip_code" : "52245" } 51 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3de" }, "occupation" : "educator", "gender" : "M", "age" : "28", "id" : 51, "zip_code" : "16509" } 52 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3df" }, "occupation" : "student", "gender" : "F", "age" : "18", "id" : 52, "zip_code" : "55105" } 53 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e0" }, "occupation" : "programmer", "gender" : "M", "age" : "26", "id" : 53, "zip_code" : "55414" } 54 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e1" }, "occupation" : "executive", "gender" : "M", "age" : "22", "id" : 54, "zip_code" : "66315" } 55 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e2" }, "occupation" : "programmer", "gender" : "M", "age" : "37", "id" : 55, "zip_code" : "01331" } 56 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e3" }, "occupation" : "librarian", "gender" : "M", "age" : "25", "id" : 56, "zip_code" : "46260" } 57 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e4" }, "occupation" : "none", "gender" : "M", "age" : "16", "id" : 57, "zip_code" : "84010" } 58 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e5" }, "occupation" : "programmer", "gender" : "M", "age" : "27", "id" : 58, "zip_code" : "52246" } 59 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e6" }, "occupation" : "educator", "gender" : "M", "age" : "49", "id" : 59, "zip_code" : "08403" } 60 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e7" }, "occupation" : "healthcare", "gender" : "M", "age" : "50", "id" : 60, "zip_code" : "06472" } 61 | { "_id" : { "$oid" : "5666f321ba87840a40bcd3e8" }, "occupation" : "engineer", "gender" : "M", "age" : "36", "id" : 61, "zip_code" : 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"gender" : "M", "age" : "28", "id" : 903, "zip_code" : "20850" } 904 | { "_id" : { "$oid" : "5666f321ba87840a40bcd733" }, "occupation" : "student", "gender" : "F", "age" : "17", "id" : 904, "zip_code" : "61073" } 905 | { "_id" : { "$oid" : "5666f321ba87840a40bcd734" }, "occupation" : "other", "gender" : "M", "age" : "27", "id" : 905, "zip_code" : "30350" } 906 | { "_id" : { "$oid" : "5666f321ba87840a40bcd735" }, "occupation" : "librarian", "gender" : "M", "age" : "45", "id" : 906, "zip_code" : "70124" } 907 | { "_id" : { "$oid" : "5666f321ba87840a40bcd736" }, "occupation" : "other", "gender" : "F", "age" : "25", "id" : 907, "zip_code" : "80526" } 908 | { "_id" : { "$oid" : "5666f321ba87840a40bcd737" }, "occupation" : "librarian", "gender" : "F", "age" : "44", "id" : 908, "zip_code" : "68504" } 909 | { "_id" : { "$oid" : "5666f321ba87840a40bcd738" }, "occupation" : "educator", "gender" : "F", "age" : "50", "id" : 909, "zip_code" : "53171" } 910 | { "_id" : { "$oid" : "5666f321ba87840a40bcd739" }, "occupation" : "healthcare", "gender" : "M", "age" : "28", "id" : 910, "zip_code" : "29301" } 911 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73a" }, "occupation" : "writer", "gender" : "F", "age" : "37", "id" : 911, "zip_code" : "53210" } 912 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73b" }, "occupation" : "other", "gender" : "M", "age" : "51", "id" : 912, "zip_code" : "06512" } 913 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73c" }, "occupation" : "student", "gender" : "M", "age" : "27", "id" : 913, "zip_code" : "76201" } 914 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73d" }, "occupation" : "other", "gender" : "F", "age" : "44", "id" : 914, "zip_code" : "08105" } 915 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73e" }, "occupation" : "entertainment", "gender" : "M", "age" : "50", "id" : 915, "zip_code" : "60614" } 916 | { "_id" : { "$oid" : "5666f321ba87840a40bcd73f" }, "occupation" : "engineer", "gender" : "M", "age" : "27", "id" : 916, "zip_code" : "N2L5N" } 917 | { "_id" : { "$oid" : "5666f321ba87840a40bcd740" }, "occupation" : "student", "gender" : "F", "age" : "22", "id" : 917, "zip_code" : "20006" } 918 | { "_id" : { "$oid" : "5666f321ba87840a40bcd741" }, "occupation" : "scientist", "gender" : "M", "age" : "40", "id" : 918, "zip_code" : "70116" } 919 | { "_id" : { "$oid" : "5666f321ba87840a40bcd742" }, "occupation" : "other", "gender" : "M", "age" : "25", "id" : 919, "zip_code" : "14216" } 920 | { "_id" : { "$oid" : "5666f321ba87840a40bcd743" }, "occupation" : "artist", "gender" : "F", "age" : "30", "id" : 920, "zip_code" : "90008" } 921 | { "_id" : { "$oid" : "5666f321ba87840a40bcd744" }, "occupation" : "student", "gender" : "F", "age" : "20", "id" : 921, "zip_code" : "98801" } 922 | { "_id" : { "$oid" : "5666f321ba87840a40bcd745" }, "occupation" : "administrator", "gender" : "F", "age" : "29", "id" : 922, "zip_code" : "21114" } 923 | { "_id" : { "$oid" : "5666f321ba87840a40bcd746" }, "occupation" : "student", "gender" : "M", "age" : "21", "id" : 923, "zip_code" : "E2E3R" } 924 | { "_id" : { "$oid" : "5666f321ba87840a40bcd747" }, "occupation" : "other", "gender" : "M", "age" : "29", "id" : 924, "zip_code" : "11753" } 925 | { "_id" : { "$oid" : "5666f321ba87840a40bcd748" }, "occupation" : "salesman", "gender" : "F", "age" : "18", "id" : 925, "zip_code" : "49036" } 926 | { "_id" : { "$oid" : "5666f321ba87840a40bcd749" }, "occupation" : "entertainment", "gender" : "M", "age" : "49", "id" : 926, "zip_code" : "01701" } 927 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74a" }, "occupation" : "programmer", "gender" : "M", "age" : "23", "id" : 927, "zip_code" : "55428" } 928 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74b" }, "occupation" : "student", "gender" : "M", "age" : "21", "id" : 928, "zip_code" : "55408" } 929 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74c" }, "occupation" : "scientist", "gender" : "M", "age" : "44", "id" : 929, "zip_code" : "53711" } 930 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74d" }, "occupation" : "scientist", "gender" : "F", "age" : "28", "id" : 930, "zip_code" : "07310" } 931 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74e" }, "occupation" : "educator", "gender" : "M", "age" : "60", "id" : 931, "zip_code" : "33556" } 932 | { "_id" : { "$oid" : "5666f321ba87840a40bcd74f" }, "occupation" : "educator", "gender" : "M", "age" : "58", "id" : 932, "zip_code" : "06437" } 933 | { "_id" : { "$oid" : "5666f321ba87840a40bcd750" }, "occupation" : "student", "gender" : "M", "age" : "28", "id" : 933, "zip_code" : "48105" } 934 | { "_id" : { "$oid" : "5666f321ba87840a40bcd751" }, "occupation" : "engineer", "gender" : "M", "age" : "61", "id" : 934, "zip_code" : "22902" } 935 | { "_id" : { "$oid" : "5666f321ba87840a40bcd752" }, "occupation" : "doctor", "gender" : "M", "age" : "42", "id" : 935, "zip_code" : "66221" } 936 | { "_id" : { "$oid" : "5666f321ba87840a40bcd753" }, "occupation" : "other", "gender" : "M", "age" : "24", "id" : 936, "zip_code" : "32789" } 937 | { "_id" : { "$oid" : "5666f321ba87840a40bcd754" }, "occupation" : "educator", "gender" : "M", "age" : "48", "id" : 937, "zip_code" : "98072" } 938 | { "_id" : { "$oid" : "5666f321ba87840a40bcd755" }, "occupation" : "technician", "gender" : "F", "age" : "38", "id" : 938, "zip_code" : "55038" } 939 | { "_id" : { "$oid" : "5666f321ba87840a40bcd756" }, "occupation" : "student", "gender" : "F", "age" : "26", "id" : 939, "zip_code" : "33319" } 940 | { "_id" : { "$oid" : "5666f321ba87840a40bcd757" }, "occupation" : "administrator", "gender" : "M", "age" : "32", "id" : 940, "zip_code" : "02215" } 941 | { "_id" : { "$oid" : "5666f321ba87840a40bcd758" }, "occupation" : "student", "gender" : "M", "age" : "20", "id" : 941, "zip_code" : "97229" } 942 | { "_id" : { "$oid" : "5666f321ba87840a40bcd759" }, "occupation" : "librarian", "gender" : "F", "age" : "48", "id" : 942, "zip_code" : "78209" } 943 | { "_id" : { "$oid" : "5666f321ba87840a40bcd75a" }, "occupation" : "student", "gender" : "M", "age" : "22", "id" : 943, "zip_code" : "77841" } 944 | { "_id" : { "$oid" : "56acd7fd135998708ec5df3d" }, "age" : 23, "gender" : "F", "name" : "dreamcity", "occupation" : "student", "user_id" : 1 } 945 | -------------------------------------------------------------------------------- /engine/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/engine/__init__.py -------------------------------------------------------------------------------- /engine/__init__.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/engine/__init__.pyc -------------------------------------------------------------------------------- /engine/rec_engine.py: -------------------------------------------------------------------------------- 1 | import os 2 | from pyspark.mllib.recommendation import ALS 3 | from pyspark.mllib.recommendation import MatrixFactorizationModel 4 | import logging 5 | import json 6 | logging.basicConfig(level=logging.INFO) 7 | logger = logging.getLogger(__name__) 8 | 9 | 10 | def get_counts_and_averages(ID_and_ratings_tuple): 11 | """Given a tuple (movieID, ratings_iterable) 12 | returns (movieID, (ratings_count, ratings_avg)) 13 | """ 14 | nratings = len(ID_and_ratings_tuple[1]) 15 | return ID_and_ratings_tuple[0], (nratings, float(sum(x for x in ID_and_ratings_tuple[1]))/nratings) 16 | 17 | 18 | class RecommendationEngine: 19 | """A movie recommendation engine 20 | """ 21 | 22 | def __count_and_average_ratings(self): 23 | """Updates the movies ratings counts from 24 | the current data self.ratings_RDD 25 | """ 26 | logger.info("Counting movie ratings...") 27 | movie_ID_with_ratings_RDD = self.ratings_RDD.map(lambda x: (x[1], x[2])).groupByKey() 28 | movie_ID_with_avg_ratings_RDD = movie_ID_with_ratings_RDD.map(get_counts_and_averages) 29 | self.movies_rating_counts_RDD = movie_ID_with_avg_ratings_RDD.map(lambda x: (x[0], x[1][0])) 30 | 31 | 32 | def __train_model(self): 33 | """Train the ALS model with the current dataset 34 | """ 35 | try: 36 | logger.info("Loading the ALS model...") 37 | # self.model = MatrixFactorizationModel.load(self.sc, "als_model.data") 38 | self.model = MatrixFactorizationModel.load(self.sc, "als_model.data") 39 | except: 40 | logger.info("Training the ALS model...") 41 | self.model = ALS.train(self.ratings_RDD, self.rank, seed=self.seed, 42 | iterations=self.iterations, lambda_=self.regularization_parameter) 43 | self.model.save(self.sc,"als_model.data") 44 | logger.info("ALS model built!") 45 | 46 | 47 | def __predict_ratings(self, user_and_movie_RDD): 48 | """Gets predictions for a given (userID, movieID) formatted RDD 49 | Returns: an RDD with format (movieTitle, movieRating, numRatings) 50 | """ 51 | predicted_RDD = self.model.predictAll(user_and_movie_RDD) 52 | predicted_rating_RDD = predicted_RDD.map(lambda x: (x.product, x.rating)) 53 | predicted_rating_title_and_count_RDD = \ 54 | predicted_rating_RDD.join(self.movies_titles_RDD).join(self.movies_rating_counts_RDD) 55 | predicted_rating_title_and_count_RDD = \ 56 | predicted_rating_title_and_count_RDD.map(lambda r: (r[1][0][1], r[1][0][0], r[1][1])) 57 | 58 | return predicted_rating_title_and_count_RDD 59 | 60 | def add_ratings(self, ratings): 61 | """Add additional movie ratings in the format (user_id, movie_id, rating) 62 | """ 63 | # Convert ratings to an RDD 64 | new_ratings_RDD = self.sc.parallelize(ratings) 65 | # Add new ratings to the existing ones 66 | self.ratings_RDD = self.ratings_RDD.union(new_ratings_RDD) 67 | # Re-compute movie ratings count 68 | self.__count_and_average_ratings() 69 | # Re-train the ALS model with the new ratings 70 | self.__train_model() 71 | 72 | return ratings 73 | 74 | def get_ratings_for_movie_ids(self, user_id, movie_ids): 75 | """Given a user_id and a list of movie_ids, predict ratings for them 76 | """ 77 | requested_movies_RDD = self.sc.parallelize(movie_ids).map(lambda x: (user_id, x)) 78 | # Get predicted ratings 79 | ratings = self.__predict_ratings(requested_movies_RDD).collect() 80 | 81 | return ratings 82 | 83 | def get_top_ratings(self, user_id, movies_count): 84 | """Recommends up to movies_count top unrated movies to user_id 85 | """ 86 | # Get pairs of (userID, movieID) for user_id unrated movies 87 | user_unrated_movies_RDD = self.movies_RDD.filter(lambda rating: not rating[1]==user_id).map(lambda x: (user_id, x[0])) 88 | # Get predicted ratings 89 | ratings = self.__predict_ratings(user_unrated_movies_RDD).filter(lambda r: r[2]>=25).takeOrdered(movies_count, key=lambda x: -x[1]) 90 | 91 | return ratings 92 | 93 | def __init__(self, sc, dataset_path): 94 | """Init the recommendation engine given a Spark context and a dataset path 95 | """ 96 | 97 | logger.info("Starting up the Recommendation Engine: ") 98 | 99 | self.sc = sc 100 | 101 | # Load ratings data for later use 102 | logger.info("Loading Ratings data...") 103 | ratings_file_path = os.path.join(dataset_path, 'ratings.csv') 104 | logger.info("ratings_file_path: %s"%ratings_file_path) 105 | ratings_raw_RDD = self.sc.textFile(ratings_file_path) 106 | self.ratings_RDD = ratings_raw_RDD.map(lambda line:json.loads(line)).map(lambda tokens: (int(tokens["user_id"]),int(tokens["movie_id"]),float(tokens["rate_score"]))).cache() 107 | 108 | # ratings_raw_data_header = ratings_raw_RDD.take(1)[0] 109 | # self.ratings_RDD = ratings_raw_RDD.filter(lambda line: line!=ratings_raw_data_header)\ 110 | # .map(lambda line: line.split(",")).map(lambda tokens: (int(tokens[0]),int(tokens[1]),float(tokens[2]))).cache() 111 | # Load movies data for later use 112 | logger.info("Loading Movies data...") 113 | movies_file_path = os.path.join(dataset_path, 'movies.csv') 114 | movies_raw_RDD = self.sc.textFile(movies_file_path) 115 | self.movies_RDD = movies_raw_RDD.map(lambda line:json.loads(line)).map(lambda tokens: (int(tokens["id"]),tokens["title"],"|".join(str(tokens["genre"])))).cache() 116 | self.movies_titles_RDD = self.movies_RDD.map(lambda x: (int(x[0]),x[1])).cache() 117 | # movies_raw_data_header = movies_raw_RDD.take(1)[0] 118 | # self.movies_RDD = movies_raw_RDD.filter(lambda line: line!=movies_raw_data_header)\ 119 | # .map(lambda line: line.split 120 | # (",")).map(lambda tokens: (int(tokens[0]),tokens[1],tokens[2])).cache() 121 | # self.movies_titles_RDD = self.movies_RDD.map(lambda x: (int(x[0]),x[1])).cache() 122 | # Pre-calculate movies ratings counts 123 | self.__count_and_average_ratings() 124 | 125 | # Train the model 126 | self.rank = 8 127 | self.seed = 5L 128 | self.iterations = 10 129 | self.regularization_parameter = 0.1 130 | self.__train_model() 131 | -------------------------------------------------------------------------------- /engine/rec_engine.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/engine/rec_engine.pyc -------------------------------------------------------------------------------- /home.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/home.png -------------------------------------------------------------------------------- /recommend.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/recommend.png -------------------------------------------------------------------------------- /server.py: -------------------------------------------------------------------------------- 1 | import time, sys, cherrypy, os 2 | from paste.translogger import TransLogger 3 | from webapp import create_app 4 | from pyspark import SparkContext, SparkConf 5 | # path = "/home/dreamcity/Project/myproject/venv/lib/python2.7/site-packages" 6 | # sys.path.append(path) 7 | def init_spark_context(): 8 | # load spark context 9 | conf = SparkConf().setAppName("movie_recommendation-server") 10 | # IMPORTANT: pass aditional Python modules to each worker 11 | # sc = SparkContext(conf=conf, pyFiles=['rec_engine.py', 'app.py']) 12 | sc = SparkContext(conf=conf) 13 | 14 | return sc 15 | 16 | 17 | def run_server(app): 18 | # Enable WSGI access logging via Paste 19 | app_logged = TransLogger(app) 20 | 21 | # Mount the WSGI callable object (app) on the root directory 22 | cherrypy.tree.graft(app_logged, '/') 23 | 24 | # Set the configuration of the web server 25 | cherrypy.config.update({ 26 | 'engine.autoreload.on': True, 27 | 'log.screen': True, 28 | 'server.socket_port': 5432, 29 | 'server.socket_host': '127.0.0.1' 30 | }) 31 | 32 | # Start the CherryPy WSGI web server 33 | cherrypy.engine.start() 34 | cherrypy.engine.block() 35 | 36 | 37 | if __name__ == "__main__": 38 | # Init spark context and load libraries 39 | sc = init_spark_context() 40 | dataset_path = os.path.join('dataset','data_model') 41 | app = create_app(sc, dataset_path) 42 | 43 | # start web server 44 | run_server(app) 45 | 46 | -------------------------------------------------------------------------------- /server.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/server.pyc -------------------------------------------------------------------------------- /start_sh.sh: -------------------------------------------------------------------------------- 1 | /usr/local/spark-1.5.1-bin-hadoop2.6/bin/spark-submit server.py 2 | -------------------------------------------------------------------------------- /webapp/__init__.py: -------------------------------------------------------------------------------- 1 | from flask import Flask 2 | from flask.ext.bootstrap import Bootstrap 3 | from flask.ext.moment import Moment 4 | from engine.rec_engine import RecommendationEngine 5 | 6 | bootstrap = Bootstrap() 7 | moment = Moment() 8 | 9 | def create_app(spark_context, dataset_path): 10 | global recommendation_engine 11 | recommendation_engine = RecommendationEngine(spark_context, dataset_path) 12 | 13 | app = Flask(__name__) 14 | app.config.from_object('config') 15 | 16 | bootstrap.init_app(app) 17 | moment.init_app(app) 18 | 19 | from .main import main as main_blueprint 20 | app.register_blueprint(main_blueprint) 21 | 22 | return app 23 | 24 | -------------------------------------------------------------------------------- /webapp/__init__.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/__init__.pyc -------------------------------------------------------------------------------- /webapp/main/__init__.py: -------------------------------------------------------------------------------- 1 | from flask import Blueprint 2 | 3 | main = Blueprint('main', __name__) 4 | 5 | from . import users, movies, recommend 6 | # from . import recommend 7 | -------------------------------------------------------------------------------- /webapp/main/__init__.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/main/__init__.pyc -------------------------------------------------------------------------------- /webapp/main/forms.py: -------------------------------------------------------------------------------- 1 | from flask.ext.wtf import Form 2 | from wtforms import IntegerField,StringField, SubmitField,RadioField 3 | from wtforms.validators import Required, Length, Email, Regexp 4 | from wtforms import ValidationError 5 | 6 | 7 | 8 | class EditRateForm(Form): 9 | rate_score = IntegerField("Rate_score",validators=[Required()]) 10 | submit = SubmitField('Submit') 11 | def validate_rate_score(self,field): 12 | if field.data<1 or field.data>5: 13 | raise ValidationError('Rate score must between 1 to 5.') 14 | 15 | 16 | class EditUserForm(Form): 17 | """docstring for EditUserForm""" 18 | name = StringField('name', validators=[ 19 | Required(), Length(1, 64), Regexp('^[A-Za-z][A-Za-z0-9_.]*$', 0, 20 | 'Usernames must have only letters, ' 21 | 'numbers, dots or underscores')]) 22 | age = IntegerField("age",validators=[Required()]) 23 | gender = RadioField("gender_info",choices=[('F','Female'),('M','Male')]) 24 | occupation = StringField('occupation', validators=[ 25 | Required(), Length(1, 64), Regexp('^[A-Za-z][A-Za-z0-9_.]*$', 0, 26 | 'Occupation must have only letters, ' 27 | 'numbers, dots or underscores')]) 28 | submit = SubmitField('Submit') 29 | 30 | class EditMovieForm(Form): 31 | """docstring for EditMovieForm""" 32 | title = StringField('title', validators=[Required()]) 33 | imdb_url = StringField('imdb_url', validators=[Required()]) 34 | genre = StringField('genre', validators=[Required(),Regexp('^(?:[01]?\d-)*[01]?\d$',0, 35 | 'genre must be xx-xx-xx,xx<19 ')]) 36 | # release_time = StringField('release_time',validators=[Regexp('^\d{4}-\d{2}-\d{2}\s*(?:\d{2}:\d{2}:\d{2})?$',0, 37 | # 'release_time must be xxxx-xx-xx 00:00:00 ')]) 38 | release_time = StringField('release_time',validators=[Regexp('^\d{4}-\d{2}-\d{2}$',0, 39 | 'release_time must be xxxx-xx-xx')]) 40 | submit = SubmitField('Submit') 41 | 42 | 43 | 44 | 45 | -------------------------------------------------------------------------------- /webapp/main/forms.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/main/forms.pyc -------------------------------------------------------------------------------- /webapp/main/movies.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | #-*- coding: utf-8 -*- 3 | # from app import app 4 | from . import main 5 | from flask import Flask,current_app,render_template,request,redirect,url_for 6 | from flask.ext.paginate import Pagination 7 | from pymongo import ASCENDING,DESCENDING 8 | from forms import EditMovieForm 9 | # import datetime 10 | 11 | def get_page_items(): 12 | page = int(request.args.get('page', 1)) 13 | per_page = request.args.get('per_page') 14 | if not per_page: 15 | per_page = current_app.config.get('PER_PAGE', 10) 16 | else: 17 | per_page = int(per_page) 18 | 19 | offset = (page - 1) * per_page 20 | return page, per_page, offset 21 | 22 | @main.route("/movies") 23 | def show_movies(): 24 | total = current_app.config['TOTAL_MOVIES'] 25 | if not total: 26 | total = current_app.config['MOVIES_COLLECTION'].find().count() 27 | page, per_page, offset = get_page_items() 28 | if page * per_page > total: 29 | movies_info = "" 30 | else: 31 | movie_cursor = current_app.config['MOVIES_COLLECTION'].find({},{"_id":0}).skip(offset).limit(per_page) 32 | genre_info = current_app.config['GENRE_COLLECTION'].find_one({},{"_id":0}) 33 | movies_info= list([]) 34 | for item in movie_cursor: 35 | item_dict = dict({}) 36 | item_dict["id"] = int(item["id"]) 37 | item_dict["title"] = item["title"] 38 | genre_desc = "" 39 | for x in item["genre"]: 40 | desc = genre_info[str(x)] 41 | genre_desc += desc + "|" 42 | item_dict["genre"] = genre_desc[:-1] 43 | movies_info.append(item_dict) 44 | pagination = Pagination(page=page,per_page=per_page,total=total,css_framework='bootstrap3',record_name="movies_info") 45 | return render_template('movies.html', total = total,movies=movies_info,page=page,per_page=per_page,pagination=pagination) 46 | 47 | @main.route("/movie/") 48 | def show_movie_f_id(movie_id): 49 | movie = current_app.config['MOVIES_COLLECTION'].find_one({"id":movie_id},{"_id":0}) 50 | if not movie:return redirect(url_for('.show_movies')) 51 | genre_info = current_app.config['GENRE_COLLECTION'].find_one({},{"_id":0}) 52 | movie["genre_desc"] = "" 53 | for x in movie["genre"]: 54 | desc = genre_info[str(x)] 55 | movie["genre_desc"] += desc + "|" 56 | movie["genre_desc"] = movie["genre_desc"][:-1] 57 | 58 | movie_pattern = {} 59 | movie_pattern["hot_score"] = current_app.config['RATE_COLLECTION'].find({"movie_id":movie_id}).count() 60 | 61 | movie_pattern["total_rate_nums"] = current_app.config['RATE_COLLECTION'].find().count() 62 | 63 | avg_rate_cursor = current_app.config['RATE_COLLECTION'].aggregate([{"$group":{"_id":"$movie_id","avg":{"$avg":"$rate_score"}}},{"$match":{"_id":movie_id}}]) 64 | avg_rate = "" 65 | for x in avg_rate_cursor: 66 | avg_rate = x["avg"] 67 | movie_pattern["avg_rate"] = avg_rate 68 | return render_template('movie.html',movie=movie,movie_pattern=movie_pattern) 69 | 70 | @main.route("/movie/add") 71 | def add_movie(): 72 | max_id_cursor = current_app.config['MOVIES_COLLECTION'].find({},{"id":1,"_id":0}).sort("id",DESCENDING).limit(1) 73 | max_id = 0 74 | for x in max_id_cursor: 75 | max_id = x["id"] 76 | movie_max_id = int(max_id) + 1 77 | return redirect(url_for('.edit_movie',movie_id = movie_max_id)) 78 | 79 | @main.route("/movie//edit") 80 | def edit_movie(movie_id): 81 | return redirect(url_for('.update_movie_info',movie_id=movie_id)) 82 | 83 | @main.route("/edit/movie",methods=['GET', 'POST']) 84 | def update_movie_info(): 85 | movie_id = int(request.args.get('movie_id',0)) 86 | if movie_id : 87 | form = EditMovieForm() 88 | if form.validate_on_submit(): 89 | movie_info = {} 90 | movie_info["title"] = form.title.data 91 | movie_info["imdb_url"] = form.imdb_url.data 92 | movie_info["release_time"] = form.release_time.data 93 | genre = form.genre.data 94 | genre_code = [0]*19 95 | genre_list = genre.split("-") 96 | # print genre_list,genre_code[3] 97 | for x in genre_list: 98 | genre_code[int(x)] = 1 99 | movie_info["genre"] = genre_list 100 | movie_info["genre_code"] = "".join(str(x) for x in genre_code) 101 | # print "movie_info",movie_info 102 | current_app.config['MOVIES_COLLECTION'].update_one({"id":movie_id},{'$set':movie_info},upsert = True) 103 | return redirect(url_for('.show_movie_f_id',movie_id = movie_id)) 104 | return render_template('edit_movie_form.html',form=form) 105 | return redirect(url_for('.show_movie_f_id',movie_id = movie_id)) 106 | 107 | @main.route("/movie//delete") 108 | def delete_movie(movie_id): 109 | current_app.config['MOVIES_COLLECTION'].find_one_and_delete({"id":movie_id}) 110 | return redirect(url_for('.show_movies')) 111 | -------------------------------------------------------------------------------- /webapp/main/movies.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/main/movies.pyc -------------------------------------------------------------------------------- /webapp/main/recommend.py: -------------------------------------------------------------------------------- 1 | import json 2 | from . import main 3 | from .. import recommendation_engine 4 | 5 | import logging 6 | logging.basicConfig(level=logging.INFO) 7 | logger = logging.getLogger(__name__) 8 | 9 | from flask import Flask, current_app,render_template 10 | 11 | @main.route("//recommend", methods=["GET"]) 12 | def user_recommend(user_id): 13 | recommend_nums = current_app.config['RECOMMEND_NUMS'] 14 | if not recommend_nums: 15 | recommend_nums = 5 16 | logger.debug("User %s TOP ratings requested", user_id) 17 | top_ratings = recommendation_engine.get_top_ratings(user_id,recommend_nums) 18 | genre_info = current_app.config['GENRE_COLLECTION'].find_one({},{"_id":0}) 19 | recommend_info = [] 20 | for item in top_ratings: 21 | movie_info = {} 22 | title = item[0] 23 | movie = current_app.config['MOVIES_COLLECTION'].find_one({"title":title},{"_id":0}) 24 | movie_info["id"] = movie["id"] 25 | movie_info["title"] = title 26 | # movie_info["genre"] = movie["genre"] 27 | genre_desc = "" 28 | for x in movie["genre"]: 29 | desc = genre_info[str(x)] 30 | genre_desc += desc + "|" 31 | movie_info["genre"] = genre_desc[:-1] 32 | 33 | movie_info["rec_score"] = item[1] 34 | movie_info["rank"] = item[2] 35 | recommend_info.append(movie_info) 36 | return render_template('recommends.html', user_id=user_id,movies=recommend_info) 37 | 38 | # return json.dumps(top_ratings) 39 | 40 | # @main.route("//ratings/top/", methods=["GET"]) 41 | # def top_ratings(user_id, count): 42 | # logger.debug("User %s TOP ratings requested", user_id) 43 | # top_ratings = recommendation_engine.get_top_ratings(user_id,count) 44 | # return json.dumps(top_ratings) 45 | 46 | @main.route("//ratings/", methods=["GET"]) 47 | def movie_ratings(user_id, movie_id): 48 | logger.debug("User %s rating requested for movie %s", user_id, movie_id) 49 | ratings = recommendation_engine.get_ratings_for_movie_ids(user_id, [movie_id]) 50 | return json.dumps(ratings) 51 | 52 | 53 | # @main.route("//ratings", methods = ["POST"]) 54 | # def add_ratings(user_id): 55 | # # get the ratings from the Flask POST request object 56 | # ratings_list = request.form.keys()[0].strip().split("\n") 57 | # ratings_list = map(lambda x: x.split(","), ratings_list) 58 | # # create a list with the format required by the negine (user_id, movie_id, rating) 59 | # ratings = map(lambda x: (user_id, int(x[0]), float(x[1])), ratings_list) 60 | # # add them to the model using then engine API 61 | # recommendation_engine.add_ratings(ratings) 62 | 63 | # return json.dumps(ratings) -------------------------------------------------------------------------------- /webapp/main/recommend.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/main/recommend.pyc -------------------------------------------------------------------------------- /webapp/main/users.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | #-*- coding: utf-8 -*- 3 | # from app import app 4 | from . import main 5 | from flask import Flask,current_app,render_template,request,redirect,url_for 6 | from flask.ext.paginate import Pagination 7 | from pymongo import ASCENDING,DESCENDING 8 | import time 9 | from forms import EditRateForm,EditUserForm 10 | 11 | @main.route("/",methods=["GET"]) 12 | def index(): 13 | return render_template('index.html') 14 | # return render_template('test.html') 15 | 16 | @main.route("/users",methods=["GET"]) 17 | def show_users(): 18 | total = current_app.config['TOTAL_USERS'] 19 | if not total: 20 | total = current_app.config['USERS_COLLECTION'].find().count() 21 | page, per_page, offset = get_page_items() 22 | if page * per_page > total: 23 | users_info = "" 24 | else: 25 | users_info = current_app.config['USERS_COLLECTION'].find({},{"_id":0}).skip(offset).limit(per_page) 26 | pagination = Pagination(page=page,per_page=per_page,total=total,css_framework='bootstrap3',record_name="users_info") 27 | # return render_template('users.html', users=users_info,page=page,per_page=per_page,pagination=pagination) 28 | return render_template('users.html', total = total,users=users_info,pagination=pagination) 29 | 30 | def get_page_items(): 31 | page = int(request.args.get('page', 1)) 32 | per_page = request.args.get('per_page') 33 | if not per_page: 34 | per_page = current_app.config.get('PER_PAGE', 10) 35 | else: 36 | per_page = int(per_page) 37 | 38 | offset = (page - 1) * per_page 39 | return page, per_page, offset 40 | 41 | @main.route("/user/") 42 | def show_user_f_id(user_id): 43 | user = current_app.config['USERS_COLLECTION'].find_one({"id":user_id},{"_id":0}) 44 | user_pattern = {} 45 | user_pattern["rate_nums"] = current_app.config['RATE_COLLECTION'].find({"user_id":user_id}).count() 46 | total_movies = current_app.config['MOVIES_COLLECTION'].find().count() 47 | user_pattern["unrate_nums"] = total_movies - user_pattern["rate_nums"] 48 | avg_rate_cursor = current_app.config['RATE_COLLECTION'].aggregate([{"$group":{"_id":"$user_id","avg":{"$avg":"$rate_score"}}},{"$match":{"_id":user_id}}]) 49 | avg_rate = "" 50 | for x in avg_rate_cursor: 51 | avg_rate = x["avg"] 52 | user_pattern["avg_rate"] = avg_rate 53 | 54 | first_rate_time_cursor = current_app.config['RATE_COLLECTION'].aggregate([{"$group":{"_id":"$user_id","first_rate":{"$min":"$rate_time"}}},{"$match":{"_id":user_id}}]) 55 | first_rate_time = "" 56 | for x in first_rate_time_cursor: 57 | first_rate_time = x["first_rate"] 58 | user_pattern["first_rate_time"] = first_rate_time 59 | 60 | last_rate_time_cursor = current_app.config['RATE_COLLECTION'].aggregate([{"$group":{"_id":"$user_id","last_rate":{"$max":"$rate_time"}}},{"$match":{"_id":user_id}}]) 61 | last_rate_time = "" 62 | for x in last_rate_time_cursor: 63 | last_rate_time = x["last_rate"] 64 | user_pattern["last_rate_time"] = last_rate_time 65 | return render_template('user.html',user=user,user_pattern=user_pattern) 66 | @main.route("/user/add") 67 | def add_user(): 68 | max_id_cursor = current_app.config['USERS_COLLECTION'].find({},{"id":1,"_id":0}).sort("id",DESCENDING).limit(1) 69 | max_id = 0 70 | for x in max_id_cursor: 71 | max_id = x["id"] 72 | user_max_id = int(max_id) + 1 73 | return redirect(url_for('.edit_user',user_id = user_max_id)) 74 | 75 | @main.route("/user//edit") 76 | def edit_user(user_id): 77 | return redirect(url_for('.update_user_info',user_id=user_id)) 78 | 79 | @main.route("/edit/user",methods=['GET', 'POST']) 80 | def update_user_info(): 81 | user_id = int(request.args.get('user_id',0)) 82 | if user_id : 83 | form = EditUserForm() 84 | if form.validate_on_submit(): 85 | user_info = {} 86 | user_info["name"] = form.name.data 87 | user_info["age"] = form.age.data 88 | user_info["gender"] = form.gender.data 89 | user_info["occupation"] = form.occupation.data 90 | current_app.config['USERS_COLLECTION'].update_one({"id":user_id},{'$set':user_info},upsert = True) 91 | return redirect(url_for('.show_user_f_id',user_id = user_id)) 92 | return render_template('edit_user_form.html',form=form) 93 | return redirect(url_for('.show_user_f_id',user_id = user_id)) 94 | 95 | @main.route("/user//delete") 96 | def delete_user(user_id): 97 | current_app.config['USERS_COLLECTION'].find_one_and_delete({"id":user_id}) 98 | return redirect(url_for('.show_users')) 99 | 100 | 101 | @main.route("/user//movies") 102 | def show_u_rela_movies(user_id): 103 | # mode = 0, 未评分的资源 104 | # mode = 1, 已评分的资源 105 | # mode = 2, 推荐的资源 106 | # "/user//movies?mode=0" 107 | # "/user//movies?mode=1" the rated movies 108 | mode = int(request.args.get('mode',0)) 109 | if mode == 1: 110 | total = current_app.config['RATE_COLLECTION'].find({"user_id":user_id}).count() 111 | page, per_page, offset = get_page_items() 112 | pagination = Pagination(page=page,per_page=per_page,total=total,css_framework='bootstrap3',record_name="User rated movie list") 113 | movie_rate_cursor = current_app.config['RATE_COLLECTION'].find({"user_id":user_id},{"movie_id":1,"_id":0,"rate_score":1}).skip(offset).limit(per_page).sort("rate_score",DESCENDING) 114 | genre_info = current_app.config['GENRE_COLLECTION'].find_one({},{"_id":0}) 115 | movies_info = [] 116 | for item in movie_rate_cursor: 117 | item_dict = dict({}) 118 | item_dict["movie_id"] = int(item["movie_id"]) 119 | item_dict["rate_score"] = item["rate_score"] 120 | movie = current_app.config['MOVIES_COLLECTION'].find_one({"id":item_dict["movie_id"]},{"_id":0}) 121 | item_dict["title"] = movie["title"] 122 | # item_dict["genre"] = movie["genre"] 123 | genre_desc = "" 124 | for x in movie["genre"]: 125 | desc = genre_info[str(x)] 126 | genre_desc += desc + "|" 127 | item_dict["genre"] = genre_desc[:-1] 128 | movies_info.append(item_dict) 129 | return render_template('user_rate_movie.html',mode = 1,user_id = user_id, movies=movies_info,page=page,per_page=per_page,pagination=pagination) 130 | elif mode == 0: 131 | total_movies_cursor = current_app.config['MOVIES_COLLECTION'].find({},{"id":1,"_id":0}) 132 | total_movies_list = list([]) 133 | for item in total_movies_cursor: 134 | total_movies_list.append(item["id"]) 135 | 136 | total_movies_num = len(total_movies_list) 137 | page, per_page, offset = get_page_items() 138 | 139 | rate_movie_cursor = current_app.config['RATE_COLLECTION'].find({"user_id":user_id},{"movie_id":1,"_id":0,"rate_score":1}) 140 | rate_movie_list = list([]) 141 | for item in rate_movie_cursor: 142 | rate_movie_list.append(item["movie_id"]) 143 | unrate_movie_list = list(set(total_movies_list)-set(rate_movie_list)) 144 | total = len(unrate_movie_list) 145 | pagination = Pagination(page=page,per_page=per_page,total=total,css_framework='bootstrap3',record_name="User not rated movie list") 146 | unrate_movie_cursor = current_app.config['MOVIES_COLLECTION'].find({"id":{"$in":unrate_movie_list}},{"_id":0}).skip(offset).limit(per_page) 147 | genre_info = current_app.config['GENRE_COLLECTION'].find_one({},{"_id":0}) 148 | movies_info = [] 149 | for item in unrate_movie_cursor: 150 | item_dict = dict({}) 151 | item_dict["movie_id"] = int(item["id"]) 152 | item_dict["title"] = item["title"] 153 | genre_desc = "" 154 | for x in item["genre"]: 155 | desc = genre_info[str(x)] 156 | genre_desc += desc + "|" 157 | item_dict["genre"] = genre_desc[:-1] 158 | movies_info.append(item_dict) 159 | return render_template('user_rate_movie.html',mode = 0,user_id = user_id, movies=movies_info,page=page,per_page=per_page,pagination=pagination) 160 | else: 161 | pass 162 | return redirect(url_for('.show_user_f_id',user_id = movie_id)) 163 | 164 | @main.route("/user//movie//delete") 165 | def relieve_rlea_u_movie(user_id,movie_id): 166 | current_app.config['RATE_COLLECTION'].find_one_and_delete({"user_id":user_id,"movie_id":movie_id}) 167 | return redirect(url_for('.show_u_rela_movies',user_id = user_id,mode=1)) 168 | 169 | #/user/rate/movie?operate=edit&user_id=1&movie_id=1 170 | @main.route("/user/rate/movie") 171 | def update_u_rela_movie(): 172 | operate = request.args.get('operate',"show") 173 | if operate == "edit": 174 | user_id = request.args.get('user_id',0) 175 | movie_id = request.args.get('movie_id',0) 176 | if user_id and movie_id: 177 | return redirect(url_for('.update_rate',user_id=user_id,movie_id=movie_id)) 178 | elif operate == "delete": 179 | user_id = request.args.get('user_id',0) 180 | movie_id = request.args.get('movie_id',0) 181 | if user_id and movie_id: 182 | return redirect(url_for('.relieve_rlea_u_movie',user_id=user_id,movie_id=movie_id)) 183 | else: 184 | pass 185 | # return redirect(url_for('.show_u_rela_movies',user_id = user_id,mode=1)) 186 | return redirect(url_for('.show_user_f_id',user_id = user_id)) 187 | 188 | @main.route("/rate") 189 | def show_rate_info(): 190 | user_id = int(request.args.get('user_id',0)) 191 | movie_id = int(request.args.get('movie_id',0)) 192 | if user_id and movie_id: 193 | rate_info = current_app.config['RATE_COLLECTION'].find_one({"user_id":user_id,"movie_id":movie_id},{"_id":0}) 194 | if rate_info: 195 | movie_info = current_app.config['MOVIES_COLLECTION'].find_one({"id":movie_id},{"_id":0,"title":1}) 196 | movie_title = movie_info["title"] 197 | return render_template('rate.html',rate_info=rate_info,movie_title=movie_title) 198 | return redirect(url_for('.show_user_f_id',user_id = user_id)) 199 | 200 | @main.route("/updaterate",methods=['GET', 'POST']) 201 | def update_rate(): 202 | user_id = int(request.args.get('user_id',0)) 203 | movie_id = int(request.args.get('movie_id',0)) 204 | if user_id and movie_id: 205 | form = EditRateForm() 206 | if form.validate_on_submit(): 207 | rate_score = int(form.rate_score.data) 208 | # return "rate_score"+str(rate_score) 209 | rate_time = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())) 210 | current_app.config['RATE_COLLECTION'].update_one({"user_id":user_id,"movie_id":movie_id},{'$set':{"rate_score":rate_score, "rate_time":rate_time}},upsert = True) 211 | return redirect(url_for('.show_rate_info',user_id = user_id,movie_id = movie_id)) 212 | return render_template('edit_rate_form.html',form=form,user_id=user_id,movie_id=movie_id) 213 | return redirect(url_for('.show_user_f_id',user_id = user_id)) 214 | 215 | -------------------------------------------------------------------------------- /webapp/main/users.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dreamcity/Spark_Movie_recsys/2008a559e895cc31021fbe8ac896c8ab8cb41b94/webapp/main/users.pyc -------------------------------------------------------------------------------- /webapp/templates/base.html: -------------------------------------------------------------------------------- 1 | {% extends "bootstrap/base.html" %} 2 | {% block title %}Movie_RecSys{% endblock %} 3 | 4 | {% block head %} 5 | {{ super() }} 6 | {% endblock %} 7 | 8 | {% block navbar %} 9 | 37 | {% endblock %} 38 | 39 | {% block content %} 40 |
41 | {% for message in get_flashed_messages() %} 42 |
43 | 44 | {{ message }} 45 |
46 | {% endfor %} 47 | {% block page_content %}{% endblock %} 48 | 52 |
53 | {% endblock %} 54 | 55 | {% block scripts %} 56 | {{ super() }} 57 | {{ moment.include_moment() }} 58 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/edit_movie_form.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | {% import "bootstrap/wtf.html" as wtf %} 3 | {% block page_content %} 4 |
5 |

This is a form to update the movie info !

6 |
7 | 8 | {{ wtf.quick_form(form) }} 9 | {% endblock %} 10 | -------------------------------------------------------------------------------- /webapp/templates/edit_rate_form.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | {% import "bootstrap/wtf.html" as wtf %} 3 | {% block page_content %} 4 |
5 |

Hello User {{user_id}}, please rate for the movie {{movie_id}} !

6 |
7 | 8 | {{ wtf.quick_form(form) }} 9 | {% endblock %} 10 | -------------------------------------------------------------------------------- /webapp/templates/edit_user_form.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | {% import "bootstrap/wtf.html" as wtf %} 3 | {% block page_content %} 4 |
5 |

This is a form to update the user info!

6 |
7 | 8 | {{ wtf.quick_form(form) }} 9 | {% endblock %} 10 | -------------------------------------------------------------------------------- /webapp/templates/index.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block title %}Movie_RecSys{% endblock %} 4 | 5 | {% block page_content %} 6 |
7 |

This is a movie recsys demo!

8 |
9 | {% endblock %} 10 | 11 | -------------------------------------------------------------------------------- /webapp/templates/movie.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | {% block page_content %} 3 |
4 |

Show the desc info of movie {{ movie.id }}

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 |
Id{{ movie.id }}
Title{{ movie.title }}
Imdb_url{{ movie.imdb_url }}
Genre{{ movie.genre_desc }}
Release time{{ movie.release_time }}
Hot score{{ movie_pattern.hot_score }}
Total rate nums{{ movie_pattern.total_rate_nums }}
Avg rate score{{ movie_pattern.avg_rate }}
39 |
40 | {% endblock %} 41 | 42 | {% block scripts %} 43 | {{ super() }} 44 | {{ moment.include_moment() }} 45 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/movies.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block page_content %} 4 |
5 |

The total movie num is {{ total }}

6 |

7 | New Movie 8 |

9 | 10 | 11 | 12 | 13 | 14 | {% for movie in movies %} 15 | 16 | 17 | 18 | 19 | 23 | 24 | {% endfor %} 25 | 26 |
MovieIDTitleGenreIDAction
{{ movie.id }}{{ movie.title }}{{ movie.genre }} 20 | edit 21 | delete 22 |
27 | {{ pagination.info }} 28 | {{ pagination.links }} 29 |
30 | 31 | 32 | {% endblock %} 33 | 34 | {% block scripts %} 35 | {{ super() }} 36 | {{ moment.include_moment() }} 37 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/rate.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block page_content %} 4 |
5 | 6 |

Show the rate info of User {{ rate_info.user_id }} to Movie {{ rate_info.movie_id }}

7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 |
UserID{{ rate_info.user_id }}
MovieID{{ rate_info.movie_id }}
Movie title{{ movie_title }}
Rate score{{ rate_info.rate_score }}
Rate time{{ rate_info.rate_time }}
29 |
30 | {% endblock %} 31 | 32 | {% block scripts %} 33 | {{ super() }} 34 | {{ moment.include_moment() }} 35 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/recommends.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block page_content %} 4 |
5 |

The recommend result for the User {{ user_id }} :

6 | 7 | 8 | 9 | 10 | 11 | {% for movie in movies %} 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | {% endfor %} 20 | 21 |
MovieIDTitleGenreIDRec_ScoreRate_times
{{ movie.id }}{{ movie.title }}{{ movie.genre }} {{ movie.rec_score }}{{ movie.rank }}
22 |
23 | 24 | {% endblock %} 25 | {% block scripts %} 26 | {{ super() }} 27 | {{ moment.include_moment() }} 28 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/test.html: -------------------------------------------------------------------------------- 1 |

This is a test page

2 |

This is a test page

3 |

This is a test page

4 |

This is a test page

-------------------------------------------------------------------------------- /webapp/templates/user.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block page_content %} 4 |
5 |

Show the desc info of user {{ user.id }}

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 |
ID{{ user.id }}
Age{{ user.age }}
Gender{{ user.gender }}
Occupation{{ user.occupation }}
RateNums{{ user_pattern.rate_nums }}
UNRateNums{{ user_pattern.unrate_nums }}
AvgRate{{ user_pattern.avg_rate }}
First rate time{{ user_pattern.first_rate_time }}
Last rate time{{ user_pattern.last_rate_time }}
Recommend
47 |
48 | {% endblock %} 49 | 50 | {% block scripts %} 51 | {{ super() }} 52 | {{ moment.include_moment() }} 53 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/user_rate_movie.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | {% block page_content %} 3 | {% if mode == 0 %} 4 |
5 |

Show the Unrated movie list of User {{ user_id }}

6 | 7 | 8 | 9 | 10 | 11 | {% for movie in movies %} 12 | 13 | 14 | 15 | 16 | 17 | 20 | 21 | {% endfor %} 22 | 23 |
#MovieIDTitleGenreAction
{{ loop.index + (page - 1) * per_page }}{{ movie.movie_id }}{{ movie.title }}{{ movie.genre }} 18 |
rate
19 |
24 | {{ pagination.info }} 25 | {{ pagination.links }} 26 |
27 | {% else %} 28 |
29 |

Show the rated movie list of User {{ user_id }}

30 | 31 | 32 | 33 | 34 | 35 | {% for movie in movies %} 36 | 37 | 38 | 39 | 40 | 41 | 42 | 47 | 48 | {% endfor %} 49 | 50 |
#MovieIDTitleGenreRate scoreAction
{{ loop.index + (page - 1) * per_page }}{{ movie.movie_id }}{{ movie.title }}{{ movie.genre }} {{ movie.rate_score }} 43 |
show
44 |
edit
45 |
delete
46 |
51 | {{ pagination.info }} 52 | {{ pagination.links }} 53 |
54 | {% endif %} 55 | 56 | {% endblock %} 57 | 58 | {% block scripts %} 59 | {{ super() }} 60 | {{ moment.include_moment() }} 61 | {% endblock %} -------------------------------------------------------------------------------- /webapp/templates/users.html: -------------------------------------------------------------------------------- 1 | {% extends "base.html" %} 2 | 3 | {% block page_content %} 4 |
5 |

The total user num is {{ total }}

6 |

7 | New user 8 |

9 | 10 | 11 | 12 | 13 | 14 | {% for user in users %} 15 | 16 | 17 | 18 | 19 | 20 | 24 | 25 | {% endfor %} 26 | 27 |
UserIDGenderAgeOccupationAction
{{ user.id }}{{ user.gender }}{{ user.age }}{{ user.occupation }} 21 | edit 22 | delete 23 |
28 | {{ pagination.info }} 29 | {{ pagination.links }} 30 |
31 | 32 | {% endblock %} 33 | {% block scripts %} 34 | {{ super() }} 35 | {{ moment.include_moment() }} 36 | {% endblock %} --------------------------------------------------------------------------------