IMDb(Internet Movie Database) is the world's most popular and authoritative source for information on movies, TV shows and celebrities. This application is an IMDB clone with basic account authentication and movie recommendation functionality. You will learn the power of RedisGraph and NodeJS to build a simple movie database.
Ensure that Docker container is up and running:
Ensure that Docker container is up and runnig
Copy .env.sample to .env and add the following details:
Open http://IP:3000 to access the movie app
Enter the details to create a new account:
Run the below query under RedisGraph to find the author acted in a movie
The app consumes the data provided by the Express API and presents it through some views to the end user, including:
The home page shows the genres and a brief listing of movies associated with them.
To be able to rate movies a user needs to be logged in: for that a basic JWT-based authentication system is implemented, where user details are stored in the RedisGraph for persistence.
On this page a user can rate the film and view the Actors/directors who participated in the production of the film.
id, bio, born , bornIn, imdbId, name, poster, tmdbId, urlid, nameid, born, bornIn, imdbId, name, tmdbId, urlid, username, password, api_keyid, url, languages, countries, budget, duration, imdbId, imdbRating, indbVotes, movieId, plot, poster, poster_image, released, revenue, runtime, tagline, tmdbId, yearRATED->MovieDIRECTED->MovieACTED_IN_MOVIE->MovieIN_GENRE->GenreRedis is phasing out RedisGraph. This blog post explains the motivation behind this decision and the implications for existing Redis customers and community members.
End of support is scheduled for January 31, 2025.
docker run -d -p 6379:6379 redis/redis-stack docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
fd5ef30f025a redis/redis-stack "redis-server --load…" 2 hours ago Up 2 hours 0.0.0.0:6379->6379/tcp nervous_buck docker run -d -v redisinsight:/db -p 8001:8001 redislabs/redisinsight:latest docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
264db1706dcc redislabs/redisinsight:latest "bash ./docker-entry…" About an hour ago Up About an hour 0.0.0.0:8001->8001/tcp angry_shirley
fd5ef30f025a redis/redis-stack "redis-server --load…" 2 hours ago Up 2 hours 0.0.0.0:6379->6379/tcp nervous_buck git clone https://github.com/redis-developer/basic-redisgraph-movie-demo-app-nodejs REDIS_ENDPOINT_URL = "Redis server URI"
REDIS_PASSWORD = "Password to the server" npm install node app.js cd client
yarn install
yarn start GRAPH.QUERY "MovieApp" "MATCH (director:Director {tmdbId: \"4945\"})-[:DIRECTED]->(movie:Movie) RETURN DISTINCT movie,director" GRAPH.QUERY "MovieApp" "MATCH (actor:Actor {tmdbId: \"8537\"})-[:ACTED_IN_MOVIE]->(movie:Movie) RETURN DISTINCT movie,actor" CREATE (user:User {id: 32,
username: "user", password: "hashed_password", api_key: "525d40da10be8ec75480"})
RETURN user MATCH (user:User {username: "user"}) RETURN user create (g:Genre{name:"Adventure"}) create (m:Movie {
url: "https://themoviedb.org/movie/862",
id:232,
languages:["English"],
title:"Toy Story",
countries:["USA"],
budget:30000000,
duration:81,
imdbId:"0114709",
imdbRating:8.3,
imdbVotes:591836,
movieId:42,
plot:"...",
poster:"https://image.tmd...",
poster_image:"https://image.tmdb.or...",
released:"1995-11-22",
revenue:373554033,
runtime:$runtime,
tagline:"A cowboy doll is profoundly t...",
tmdbId:"8844",
year:"1995"}) MATCH (g:Genre), (m:Movie)
WHERE g.name = "Adventure" AND m.title = "Toy Story"
CREATE (m)-[:IN_GENRE]->(g) MATCH (genre:Genre) RETURN genre MATCH (movie:Movie)-[:IN_GENRE]->(genre)
WHERE toLower(genre.name) = toLower("Film-Noir") OR id(genre) = toInteger("Film-Noir")
RETURN movie const getByGenre = function (session, genreId) {
const query = [
'MATCH (movie:Movie)-[:IN_GENRE]->(genre)',
'WHERE toLower(genre.name) = toLower($genreId) OR id(genre) = toInteger($genreId)',
'RETURN movie',
].join('\n');
return session
.query(query, {
genreId,
})
.then((result) => manyMovies(result));
}; CREATE (user:User {id: 32,
username: "user", password: "hashed_password", api_key: "525d40da10be8ec75480"})
RETURN user MATCH (user:User {username: "user"}) RETURN user const me = function (session, apiKey) {
return session
.query('MATCH (user:User {api_key: $api_key}) RETURN user', {
api_key: apiKey,
})
.then((foundedUser) => {
if (!foundedUser.hasNext()) {
throw {message: 'invalid authorization key', status: 401};
}
while (foundedUser.hasNext()) {
const record = foundedUser.next();
return new User(record.get('user'));
}
});
}; MATCH (m:Movie) WHERE m.title="Jumanji" CREATE (a:Actor :Person{
bio:"Sample...",
bornIn:"Denver, Colorado, USA",
imdbId:"0000245",
name:"Robin Williams",
poster:"https://image.tmdb.org/t/p/w440_and_...",
tmdbId:"2157",
url:"https://themoviedb.org/person/2157"})-[r:ACTED_IN_MOVIE
{role: "Alan Parrish"}]->(m) MATCH (m:Movie) WHERE m.title="Dead Presidents" CREATE (d:Director :Person{
bio: "From Wikipedia, the free e...",
bornIn: "Detroit, Michigan, USA",
imdbId: "0400436",
name: "Albert Hughes",
tmdbId: "11447",
url: "https://themoviedb.org/person/11447"})-[r:DIRECTED]->(m) MATCH (movie:Movie {tmdbId: $movieId})
OPTIONAL MATCH (movie)<-[my_rated:RATED]-(me:User {id: "e1e3991f-fe81-439e-a507-aa0647bc0b88"})
OPTIONAL MATCH (movie)<-[r:ACTED_IN_MOVIE]-(a:Actor)
OPTIONAL MATCH (movie)-[:IN_GENRE]->(genre:Genre)
OPTIONAL MATCH (movie)<-[:DIRECTED]-(d:Director)
WITH DISTINCT movie, my_rated, genre, d, a, r
RETURN DISTINCT movie,
collect(DISTINCT d) AS directors,
collect(DISTINCT a) AS actors,
collect(DISTINCT genre) AS genres const getById = function (session, movieId, userId) {
if (!userId) throw {message: 'invalid authorization key', status: 401};
const query = [
'MATCH (movie:Movie {tmdbId: $movieId})\n' +
' OPTIONAL MATCH (movie)<-[my_rated:RATED]-(me:User {id: $userId})\n' +
' OPTIONAL MATCH (movie)<-[r:ACTED_IN_MOVIE]-(a:Actor)\n' +
' OPTIONAL MATCH (movie)-[:IN_GENRE]->(genre:Genre)\n' +
' OPTIONAL MATCH (movie)<-[:DIRECTED]-(d:Director)\n' +
' WITH DISTINCT movie, my_rated, genre, d, a, r\n' +
' RETURN DISTINCT movie,\n' +
' collect(DISTINCT d) AS directors,\n' +
' collect(DISTINCT a) AS actors,\n' +
' collect(DISTINCT genre) AS genres',
].join(' ');
return session
.query(query, {
movieId: movieId.toString(),
userId: userId.toString(),
})
.then((result) => {
if (result.hasNext()) {
return _singleMovieWithDetails(result.next());
}
throw {message: 'movie not found', status: 404};
});
}; MATCH (actor:Actor {tmdbId: "8537"})-[:ACTED_IN_MOVIE]->(movie:Movie)
RETURN DISTINCT movie,actor MATCH (director:Director {tmdbId: "4945"})-[:DIRECTED]->(movie:Movie)
RETURN DISTINCT movie,director const getByDirector = function (session, personId) {
const query = [
'MATCH (director:Director {tmdbId: $personId})-[:DIRECTED]->(movie:Movie)',
'RETURN DISTINCT movie,director',
].join('\n');
return session
.query(query, {
personId,
})
.then((result) => manyMovies(result));
}; MATCH (u:User {id: 42}),(m:Movie {tmdbId: 231})
MERGE (u)-[r:RATED]->(m)
SET r.rating = "7"
RETURN m MATCH (:User {id: "d6b31131-f203-4d5e-b1ff-d13ebc06934d"})-[rated:RATED]->(movie:Movie)
RETURN DISTINCT movie, rated.rating as my_rating const getRatedByUser = function (session, userId) {
return session
.query(
'MATCH (:User {id: $userId})-[rated:RATED]->(movie:Movie) \
RETURN DISTINCT movie, rated.rating as my_rating',
{userId},
)
.then((result) =>
result._results.map((r) => new Movie(r.get('movie'), r.get('my_rating'))),
);
};