def test_select_movie_to_watch(watchlist):
watchlist = WatchList()
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
assert watchlist.select_movie_to_watch(2) == Movie(
"Guardians of the Galaxy", 2012)
def parseAndSave(s):
for l in s.find (id="data_list").findAll("tr"):
try:
tagALinkToDetail = l.find(has_link_to_show_php)
if tagALinkToDetail:
fullText=tagALinkToDetail.text.strip()
logger.info("Searching info in douban with keyword: %s" % fullText)
m = Movie(fullText)
m.source_link = tagALinkToDetail['href']
m.numberOfSeeds=int(tagALinkToDetail.parent.parent.find(class_='bts_1').text)
m.source_link=str(tagALinkToDetail["href"])
bucket = Bucket('couchbase://localhost/default')
v=json.dumps(m.__dict__)
bucket.upsert(fullText,v)
else:
logger.debug("skip a line in mp4ba resource page, most likely because it is an ads")
except AttributeError as ae:
logger.error (ae)
logger.error ("Error! Skipped when trying to parse: %s" % l)
exit
except Exception as e:
logger.error (e)
logger.error ("Error! Skipped when trying to parse: %s" % l)
exit
def test_given(watchlist):
watchlist = WatchList()
assert watchlist.size() == 0
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
assert watchlist.first_movie_in_watchlist() == Movie("Moana", 2016)
def test_get_names_string(self):
"""
Test that get_names_string returns a string that contains a list of
names.
"""
# Create a movie object
movie = Movie("R",[Name("Stanley", "", "Kubrick"),
Name("Anthony", "", "Burgess")],
[Name("Malcolm", "", "McDowell"), Name("Patrick", "", "Magee"),
Name("Michael", "", "Bates")], 2, "A clockwork Orange",
Name("Stanley", "Kubrick"),
"Protagonist Alex DeLarge is an ultraviolent youth in "\
"futuristic Britain. As with all luck, his eventually runs out "\
"and he's arrested and convicted of murder and rape. While in "\
"prison, Alex learns of an experimental program in which "\
"convicts are programmed to detest violence. If he goes "\
"through the program, his sentence will be reduced and he will "\
"be back on the streets sooner than expected. But Alex's "\
"ordeals are far from over once he hits the mean streets of "\
"Britain that he had a hand in creating.",
"sci-fi", "English", 1971, "US", 136, "movie",
["dystopia", "violence", "alternate society"])
# Assert expected result
self.assertEqual(movie.get_names_string(movie.cast),
"Malcolm McDowell, Patrick Magee, Michael Bates")
def get_movies_data(movies_link):
movies = []
# login and create session
with requests.session() as session:
print('嘗試登入會員....')
response = session.post(login_url, data=payload)
if '歡迎您回來' in response.text:
print('登入成功!!!! 透過電影URL開始抓取詳細資料...')
# scrape each movie data from link
for link in movies_link:
movie = Movie()
response = session.get(link)
if response.status_code == 200:
print(f'開始抓取{link}頁面資料...')
soup = BeautifulSoup(response.text, 'html.parser')
movie.title = soup.find(
'a', id="thread_subject").text # get movie title
movie.info_link = link # create movie object
block_code = soup.find_all(class_='blockcode')
for block in block_code:
movie.download_link.append(
block.find('li').text) # get all download link
movies.append(movie)
sleep(0.5)
else:
print('連線發生錯誤')
else:
print('登入會員失敗...')
# logout
session.get(logout_url)
return movies
def tfUserTag(userId):
usrObj = User(userId)
movies = di.getUserMovies(userId)
for movieId in movies:
movieId = movieId[0]
mv = Movie(
movieId,
0) # Here the actor movie rank is not reqd., setting this to 0
movieTags = di.getMovieTags(movieId)
for movieTag in movieTags:
tagId = movieTag[0]
timeStamp = movieTag[1]
mv.addTag(tagId, timeStamp)
usrObj.addMovie(mv)
tfVector = {}
usrObj.setUnqTags()
unqTags = usrObj.getUnqTags()
#print(unqTags)
for tagId in unqTags:
tfFactorTag = 0
for movie in usrObj.getMovies():
searchTags = movie.getTags()
tfFactor = 0
totalMovieWeight = 0
for tag in searchTags:
if (tag.getId() == tagId):
tfFactor = tfFactor + tag.getTimeWeight()
#print(tfFactor)
totalMovieWeight = totalMovieWeight + 1
if (totalMovieWeight != 0):
tfFactorTag = tfFactorTag + tfFactor / totalMovieWeight
tfVector[tagId] = tfFactorTag
tfVector = utils.sortByValue(tfVector)
return utils.normalizeVector(tfVector)
def importCsv(self):
"""
Import CSV data.
The assumed format for the csv data lines is as follows:
title,date,director,duration,genre,stars,other_stuff_can_be_ignored
The assumed format of lists such as directors, stars, and genres is
semicolon-separated (';'). These are converted to comma-separated
values before adding to the tree.
NOTE: No attempt is made to preserve information about media or series.
"""
fileHandler = io.open(self.movieList.getFileName(), 'rt')
# get the data and add it to the list store.
self.movieList.movieTreeStore.clear()
while True:
data = fileHandler.readline()
if not data:
break
dataList = data[:-1].split(',')
movie = Movie(
title=dataList[0],
date=(int(dataList[1]) if dataList[1].isnumeric()
else 1900),
director=dataList[2].replace(';', ','),
duration=(int(dataList[3]) if dataList[3].isnumeric()
else 0),
genre=dataList[4].replace(';', ','),
stars=dataList[5].replace(';', ','),
)
self.movieList.movieTreeStore.append(None, movie.toList())
fileHandler.close()
def fetch(self):
result = requests.get(self.url)
if (result.status_code != 200):
return false
movieList = []
content = result.content
soup = BeautifulSoup(content, 'html.parser')
samples = soup.find_all(id="showtimes") # type: ResultSet
for s in samples:
curMovie = Movie()
nametag = s.find("a", "name")
# curMovie.name =
m = re.search(
'\s*([ \w:;\'\"\&\%\#\@\!\+\=\/\<\>\{\}\-,\.]+)\s*\(([0-9A-Z\-]+)\)\s*',
nametag.contents[0])
curMovie.name = m.group(1)
curMovie.rated = m.group(2)
runTime = s.find_all("span", class_="smallfont")[1].contents[0]
times = s.find("span", text="Today: ").next_sibling.next_sibling
while self.expiredMovieTime(times) and not (times.name == 'br'):
times = times.next_sibling
if not (times.name == 'br'):
curMovie.times = times.replace(',', ' ').split()
movieList.append(curMovie)
return movieList
def importCsv(self):
"""
Import CSV data.
The assumed format for the csv data lines is as follows:
title,date,director,duration,genre,stars,other_stuff_can_be_ignored
The assumed format of lists such as directors, stars, and genres is
semicolon-separated (';'). These are converted to comma-separated
values before adding to the tree.
NOTE: No attempt is made to preserve information about media or series.
"""
fileHandler = io.open(self.movieList.getFileName(), 'rt')
# get the data and add it to the list store.
self.movieList.movieTreeStore.clear()
while True:
data = fileHandler.readline()
if not data:
break
dataList = data[:-1].split(',')
movie = Movie(
title=dataList[0],
date=(int(dataList[1]) if dataList[1].isnumeric() else 1900),
director=dataList[2].replace(';', ','),
duration=(int(dataList[3]) if dataList[3].isnumeric() else 0),
genre=dataList[4].replace(';', ','),
stars=dataList[5].replace(';', ','),
)
self.movieList.movieTreeStore.append(None, movie.toList())
fileHandler.close()
def parseMoviesAndRatings():
inputFile = open("../dataset/movie_rating.txt")
lineString = inputFile.readline()
movieRatingVector = np.zeros(0)
global missing_count
while(lineString):
(movie_title,movie_year) = Movie.separateTitleAndYear(lineString.split("\t\t")[0].strip())
movie_rating = float(lineString.split("\t\t")[1].strip())
if(not movie_title in Movie.hashByTitle):
movie = Movie(movie_title,rating=movie_rating)
missing_count = missing_count + 1
else:
movie = Movie.hashByTitle[movie_title]
movie.rating = movie_rating
movieRatingVector = np.append(movieRatingVector,movie_rating)
lineString = inputFile.readline()
if(movie.id%100000 == 0):
print movie
arrayToSave = np.asarray(movieRatingVector)
np.savetxt("./movie_rating_vector.csv", arrayToSave, delimiter=",")
def parse(self, text):
"""
This method takes a movie script (str) as an input, and returns an instance of
the Movie class, representing the movie.
"""
# Try to retrieve the character list
characters = self._get_characters(text)
# if there are less than the minimum number of characters, special case
if len(characters) < self.minimum_characters:
# identify special case stereotype
characters = self._special_characters(text)
# retrieve metadata
title = self.get_title(text)
author = self.get_author(text)
genre = self.get_genre(text)
# if it still doesn't work, warn user
if len(characters) < self.minimum_characters:
fix_string = "Please check the original file's formatting, or add a special case in ScriptParser's _special_characters() method."
print("The script %s couldn't be parsed. %s" % (title, fix_string))
error_movie = Movie(
title, author, genre,
"This script couldn't be parsed. %s" % fix_string)
return error_movie
else:
# return instance of Movie
movie = Movie(title, author, genre, characters)
return movie
def test_dual_new_release_statement(self):
fred = Customer("Fred")
fred.add_rental(Rental(Movie("The Cell", Movie.NEW_RELEASE), 3))
fred.add_rental(Rental(Movie("The Tigger Movie", Movie.NEW_RELEASE),
3))
assert fred.statement(
) == "Rental Record for Fred\n\tThe Cell\t9.0\n\tThe Tigger Movie\t9.0\nYou owed 18.0\nYou earned 4 frequent renter points\n"
def test_iterator(watchlist):
watchlist = WatchList()
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
temp = iter(watchlist)
assert next(temp) == Movie("Moana", 2016)
def main():
input_list = ['the-matrix', 'hellboy']
review_dict = {}
for title in input_list:
movie = Movie(title, Soup())
movie.set_all_reviews()
review_dict[title] = movie
print(review_dict[title].get_all_reviews())
def test_remove_movie(watchlist):
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
watchlist.remove_movie(Movie("Moana", 2016))
size = watchlist.size()
assert size == 2
def test_multiple_regular_statement(self):
fred = Customer("Fred")
fred.add_rental(
Rental(Movie("Plan 9 from Outer Space", Movie.REGULAR), 1))
fred.add_rental(Rental(Movie("8 1/2", Movie.REGULAR), 2))
fred.add_rental(Rental(Movie("Eraserhead", Movie.REGULAR), 3))
assert fred.statement(
) == "Rental Record for Fred\n\tPlan 9 from Outer Space\t2.0\n\t8 1/2\t2.0\n\tEraserhead\t3.5\nYou owed 7.5\nYou earned 3 frequent renter points\n"
def test_add_movie(watchlist):
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
first_movie = watchlist.first_movie_in_watchlist()
size = watchlist.size()
assert first_movie == Movie("Moana", 2016)
assert size == 3
def test_statement(self):
tom = Customer("Tom")
tom.add_rental(Rental(Movie("Shutter Island", Movie.REGULAR), 5))
tom.add_rental(Rental(Movie("Inception", Movie.REGULAR), 3))
tom.add_rental(Rental(Movie("The Shining", Movie.REGULAR), 9))
self.assertEqual(
tom.html_statement(),
"<h1>Rentals for <em>Tom</em></h1><p>\nShutter Island: 6.5<br>\nInception: 3.5<br>\nThe Shining: 12.5<br>\n<p>You owe <em>22.5</em></p>\nOn this rental you earned <em>3</em> frequent renter points<p>"
)
def test_statement(self):
tom = Customer("Tom")
tom.add_rental(Rental(Movie("Shutter Island", Movie.REGULAR), 5))
tom.add_rental(Rental(Movie("Inception", Movie.REGULAR), 3))
tom.add_rental(Rental(Movie("The Shining", Movie.REGULAR), 9))
self.assertEqual(
tom.statement(),
"Rental Record for Tom\n\tShutter Island\t6.5\n\tInception\t3.5\n\tThe Shining\t12.5\nAmount owed is 22.5\nYou earned 3 frequent renter points"
)
def test_find_index(watchlist):
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
out_of_bound = watchlist.select_movie_to_watch(4)
inbound = watchlist.select_movie_to_watch(0)
assert inbound == Movie("Moana", 2016)
assert out_of_bound is None
def test_iterator_out_of_bound(watchlist):
watchlist = WatchList()
watchlist.add_movie(Movie("Moana", 2016))
watchlist.add_movie(Movie("Ice Age", 2002))
watchlist.add_movie(Movie("Guardians of the Galaxy", 2012))
temp = iter(watchlist)
next(temp)
next(temp)
next(temp)
with pytest.raises(IndexError):
next(temp)
def read_csv_file(self):
with open(self.__file_name, mode='r', encoding='utf-8-sig') as csvfile:
movie_file_reader = csv.DictReader(csvfile)
index = 0
for row in movie_file_reader:
movie = Movie(row["Title"], int(row["Year"]))
movie.description = row["Description"]
movie.runtime_minutes = int(row["Runtime (Minutes)"])
self.__total_runtime_minutes += int(row["Runtime (Minutes)"])
self.__runtime_minutes_number_of_movies += 1
if row["Rating"] != "N/A":
movie.rating = float(row['Rating'])
self.__total_rating += float(row['Rating'])
self.__rating_number_of_movies += 1
if row["Votes"] != "N/A":
movie.votes = int(row["Votes"])
self.__total_votes += int(row["Votes"])
self.__votes_number_of_movies += 1
if row["Revenue (Millions)"] != "N/A":
movie.revenue_millions = float(row["Revenue (Millions)"])
self.__total_revenue_millions += float(
row["Revenue (Millions)"])
self.__revenue_millions_number_of_movies += 1
if row["Metascore"] != "N/A":
movie.metascore = int(row["Metascore"])
self.__total_metascore += int(row["Metascore"])
self.__metascore_number_of_movies += 1
self.__dataset_of_movies.append(movie)
self.__dataset_of_directors.add(Director(row["Director"]))
for actor in row["Actors"].split(","):
self.__dataset_of_actors.add(Actor(actor.strip()))
for genre in row["Genre"].split(","):
self.__dataset_of_genres.add(Genre(genre.strip()))
index += 1
def tfMovTag(movieId):
mv = Movie(movieId,
0) # Here the actor movie rank is not reqd., setting this to 0
movieTags = di.getMovieTags(movieId)
#print("tags are")
#print(movieTags)
for movieTag in movieTags:
tagId = movieTag[0]
timeStamp = movieTag[1]
mv.addTag(tagId, timeStamp)
tfArray = utils.getGenreMovieTags(mv)
return tfArray
#print(tfMovTag('3854'))
def _buildMovieObj(self, movieInfo):
movie = Movie(movieInfo["name"])
movie.movieYear = movieInfo["year"]
movie.pictureLink = movieInfo["picture"]
movie.magnetLink = movieInfo["magnet"]
movie.quality = movieInfo["quality"]
movie.seeders = movieInfo["seeders"]
movie.imdb = movieInfo["imdb"]
movie.ranking = movieInfo["rating"]
movie.summary = movieInfo["summary"]
return movie
def parseActorsAndMovies():
Actor.unpickleActors()
if(not Actor.total):
print "Reading all actor data from dataset..."
inputFile = open("../dataset/actor_movies.txt")
lineString = inputFile.readline()
while(lineString):
actor_name = ""
parsedLineArray = lineString.split("\t\t")
for i in range(0,len(parsedLineArray)):
if(i == 0):
actor_name = parsedLineArray[0].strip()
actor = Actor(actor_name)
else:
if(parsedLineArray[i].strip() != ""):
(movieTitle,movieYear) = Movie.separateTitleAndYear(parsedLineArray[i].strip())
movieActedIn = Movie.hashByTitle[movieTitle]
#Set actor's movie list
actor.movieList.append(movieActedIn)
#Update actor's movieVector for current movie
actor.moviesVector[0][movieActedIn.id] = 1
#Append current movie's actor list with current actor
movieActedIn.actors.append(actor)
lineString = inputFile.readline()
print actor
#Append actor's moviesVector to the actorMovieMatrix
if(Actor.total == 1):
Actor.actorMovieAdjacencyMatrix = np.append(np.zeros((0,Movie.total)),actor.moviesVector,axis=0)
else:
Actor.actorMovieAdjacencyMatrix = np.append(Actor.actorMovieAdjacencyMatrix,actor.moviesVector,axis=0)
Actor.pickleActors()
def read_movie(line):
"""
-------------------------------------------------------
Creates and returns a Movie object from a line of formatted string data.
Use: movie = read_movie(line)
-------------------------------------------------------
Parameters:
line - a vertical bar-delimited line of movie data in the format
title|year|director|rating|genre codes (str)
Returns:
movie - a Movie object based upon the data from line (Movie)
-------------------------------------------------------
"""
genres = []
line = line.split('|')
title = line[0]
year = int(line[1])
director = line[2]
rating = float(line[3])
x = line[4].split(',')
for i in x:
i = int(i)
genres.append(i)
movie = Movie(title, year, director, rating, genres)
return movie
def toxml(self, stylesheet="proviola.xsl"):
frame_doc = Movie.toxml(self, stylesheet)
# Entitites taken from Symbols.v in the SF notes.
entity_map = {
"nbsp": " ",
"mdash": "—",
"dArr": "⇓",
"rArr": "⇒",
"rarr": "→",
"larr": "←",
"harr": "↔",
"forall": "∀",
"exist": "∃",
"exists": "∃",
"and": "∧",
"or": "∨",
"Gamma": "Γ",
}
entities = "\n".join(
['<!ENTITY %s "%s">'%(key, entity_map[key])
for key in entity_map])
frame_doc.insert(1, Declaration("DOCTYPE movie [" + entities + "]"))
scene_tree = Tag(frame_doc, "scenes")
frame_doc.movie.append(scene_tree)
for scene in self._scenes:
scene_tree.append(scene.toxml(frame_doc))
return frame_doc
def __init__(self, d):
self.movie = Movie(d['movieName'], d['duration'], d['genre'],
d['movieid'])
self.theater = Theater(d['theaterName'], d['distance'], d['theaterid'],
d['foodList'])
self.price = d['price']
self.showid = d['showid']
def getMovie(page):
url = "https://yts.am/api/v2/list_movies.json?sort_by=rating&limit=20&page=1"
response = requests.get(url=url)
# 1. dict를 json타입으로 변경하는 방법
# => json.dumps() - json output
# 2. json타입을 dict으로 변경하는 방법
# => json.loads() - json input
html = json.loads(response.text)
#print(html)
#print(type(html))
data = html['data']
#print(data)
#print(type(data))
movies = data['movies']
#print(movies)
#print(type(movies))
# print(movies[0]['id'])
# print(movies[0]['title'])
# print(movies[0]['rating'])
# print(movies[0]['url'])
# print(movies[0]['synopsis'])
list = []
for i in movies:
m = Movie(i['rating'], i['title'], i['synopsis'],
i['medium_cover_image'], i['url'])
list.append(m)
return list
def toxml(self, stylesheet="proviola.xsl"):
frame_doc = Movie.toxml(self, stylesheet)
# Entitites taken from Symbols.v in the SF notes.
entity_map = {
"nbsp": " ",
"mdash": "—",
"dArr": "⇓",
"rArr": "⇒",
"rarr": "→",
"larr": "←",
"harr": "↔",
"forall": "∀",
"exist": "∃",
"exists": "∃",
"and": "∧",
"or": "∨",
"Gamma": "Γ",
"quot": """,
"acute": "´",
}
entities = "\n".join([
'<!ENTITY %s "%s">' % (key, entity_map[key]) for key in entity_map
])
frame_doc.insert(1, Declaration("DOCTYPE movie [" + entities + "]"))
scene_tree = Tag(frame_doc, "scenes")
frame_doc.movie.append(scene_tree)
for scene in self._scenes:
scene_tree.append(scene.toxml(frame_doc))
return frame_doc
def extractMovieTreeAsList(self, treeIter):
"""
Extract the movie data from the movieTreeStore in the form of a list.
Recursively construct a list of the movies and series in the rows and
child rows of the store.
The base treeIter should point to the tree root, i.e.,
movieTreeStore.get_iter_first().
The list is sorted by title before returning.
"""
list = []
while treeIter:
if self.movieList.movieTreeStore[treeIter][-1]:
seriesList = []
if self.movieList.movieTreeStore.iter_has_child(treeIter):
childIter = \
self.movieList.movieTreeStore.iter_children(treeIter)
seriesList.extend(self.extractMovieTreeAsList(childIter))
list.append(
MovieSeries.fromList(self.movieList.movieTreeStore[treeIter], seriesList))
else:
list.append(
Movie.fromList(self.movieList.movieTreeStore[treeIter]))
treeIter = self.movieList.movieTreeStore.iter_next(treeIter)
return sorted(list, key=lambda item:item.title)
def read_movie(line):
"""
-------------------------------------------------------
Creates and returns a Movie object from a line of formatted string data.
Use: movie = read_movie(line)
-------------------------------------------------------
Parameters:
line - a vertical bar-delimited line of movie data in the format
title|year|director|rating|genre codes (str)
Returns:
movie - a Movie object based upon the data from line (Movie)
-------------------------------------------------------
"""
movie_list = line.split("|")
title = movie_list[0]
year = int(movie_list[1])
director = movie_list[2]
rating = float(movie_list[3])
genres = movie_list[4].split(",")
for i in range(len(genres)):
genres[i] = int(genres[i])
movie = Movie(title, year, director, rating, genres)
return movie
def read_csv_file(self):
with open(self._filename, mode='r', encoding='utf-8-sig') as csvfile:
reader = csv.DictReader(csvfile)
index = 2
for row in reader:
title = row["Title"]
release_year = int(row["Year"])
movie1 = Movie(title, release_year)
self._dataset_of_movies.append(movie1)
director_name = row["Director"]
director = Director(director_name)
if director not in self._dataset_of_directors:
self._dataset_of_directors.append(director)
actor_name_list = row["Actors"].split(",")
index1 = 1
for name in actor_name_list:
actor = Actor(name.strip())
if actor not in self._dataset_of_actors:
self._dataset_of_actors.append(actor)
elif actor.actor_full_name == "None":
print(name)
print(index, actor, index1)
index1 += 1
genre_list = row["Genre"].split(",")
for type in genre_list:
genre = Genre(type.strip())
if genre not in self._dataset_of_genres:
self._dataset_of_genres.append(genre)
index += 1
def read_movie(line):
"""
-------------------------------------------------------
Creates and returns a Movie object from a line of formatted string data.
Use: movie = read_movie(line)
-------------------------------------------------------
Parameters:
line - a vertical bar-delimited line of movie data in the format
title|year|director|rating|genre codes (str)
Returns:
movie - a Movie object based upon the data from line (Movie)
-------------------------------------------------------
"""
line.strip()
data = line.split('|')
data[4] = data[4].split(',')
genre_list = []
title = data[0]
year = int(data[1])
director = data[2]
rating = float(data[3])
for i in data[4]:
genre_list.append(int(i))
genres = genre_list
movie = Movie(title, year, director, rating, genres)
return movie
def createMovie(showdate, movie_schedule):
movie = Movie.Movie()
movie.showdate = showdate
movie.theater = FILM_FORUM_NAME
# process movie url
for link in movie_schedule.find_all('a'):
href = link['href']
if (href.startswith(MOVIE_URL_PREFIX)):
movie.show_url = href
if movie.show_url == None:
print 'Cannot parse the movie page url on Film Forum!'
return None
soup = Common.getPageSoup(movie.show_url)
if soup == None:
return None
parseMovieFromPage(Common.getPageSoup(movie.show_url), movie)
for showtime in movie_schedule.find_all('span'):
movie.addShowTime(movie.showdate, showtime.text)
return movie
def on_copyAction_activate(self, widget):
"""
Handler for the movie copy action. Add a duplicate movie entity to the
list.
"""
# the status bar context
contextId = self.statusbar.get_context_id(COPY)
# select the movie/series to change
treeIndex, movieEntity = self.getMovieOrSeriesFromSelection(contextId,
COPY)
if not movieEntity:
return
seriesIndex = None
copiedMovieEntity = copiedSeriesIndex = None
if isinstance(movieEntity, MovieSeries):
copiedMovieEntity = MovieSeries.fromList(movieEntity.toList(), [])
else:
copiedSeriesIndex = self.findParentMovieSeries(treeIndex)
copiedMovieEntity = Movie.fromList(movieEntity.toList())
# update the model and display
self.addMovieEntity(contextId, COPY, Gtk.ResponseType.OK,
None,
None, None,
copiedMovieEntity, copiedSeriesIndex)
def extractMovieTreeAsList(self, treeIter):
"""
Extract the movie data from the movieTreeStore in the form of a list.
Recursively construct a list of the movies and series in the rows and
child rows of the store.
The base treeIter should point to the tree root, i.e.,
movieTreeStore.get_iter_first().
The list is sorted by title before returning.
"""
list = []
while treeIter:
if self.movieList.movieTreeStore[treeIter][-1]:
seriesList = []
if self.movieList.movieTreeStore.iter_has_child(treeIter):
childIter = \
self.movieList.movieTreeStore.iter_children(treeIter)
seriesList.extend(self.extractMovieTreeAsList(childIter))
list.append(
MovieSeries.fromList(
self.movieList.movieTreeStore[treeIter],
seriesList))
else:
list.append(
Movie.fromList(self.movieList.movieTreeStore[treeIter]))
treeIter = self.movieList.movieTreeStore.iter_next(treeIter)
return sorted(list, key=lambda item: item.title)
def make_frames(self, service_uri = "http://localhost:8080/xmlrpc/xmlrpc",
filename = "",
*args):
document = Movie()
isabelle_session = Isabelle_Session(service_uri, filename)
contents = self.script
isabelle_session.add(contents)
#TODO: Poll for change (or comet-push on change?)
time.sleep(10)
tree = parseString("<document>" + isabelle_session.document_as_xml() +
"</document>")
for node in tree.documentElement.childNodes:
if node.nodeType != Node.TEXT_NODE and node.tagName == "state":
document.addFrame(self.state_to_frame(node))
return document
def parseMoviesAndGenre():
Movie.unpickleMovies()
if(not Movie.total):
inputFile = open("../dataset/movie_genre.txt")
lineString = inputFile.readline()
while(lineString):
movie_title = lineString.split("\t\t")[0].strip()
movie_genre = lineString.split("\t\t")[1].strip()
movie = Movie(movie_title,genre=movie_genre)
Movie.list.append(movie)
lineString = inputFile.readline()
if(movie.id%100000 == 0):
print movie
Movie.pickleMovies()
def reParentChildren(self, seriesIter, newSeriesIter):
"""
Take the children of a series to be deleted and re-parent them to the
root, or another named series.
"""
childIter = self.movieTreeStore.iter_children(seriesIter)
while childIter:
movie = Movie.fromList(self.movieTreeStore[childIter])
self.movieTreeStore.remove(childIter)
self.movieListIO.appendMovieToStore(movie, newSeriesIter)
childIter = self.movieTreeStore.iter_children(seriesIter)
def addMoviesToDatabase(session, movies):
nAdded = 0
for movie in movies:
movieImdbId = movie[0]
movieTitle = movie[1]
movieYear = movie[2]
# Check if the movie is already in the database
q = session.query(Movie).filter(Movie.imdbId == movieImdbId)
if len(q.all()) == 0:
print "Adding "+movieImdbId+": "+movieTitle+" ("+movieYear+") to database.."
# If not add it to the database
newMovie = Movie(movieTitle, movieYear)
newMovie.imdbId = movieImdbId
newMovie.last_searched = 0
newMovie.downloaded = 0
session.add(newMovie)
nAdded += 1
session.commit()
session.close()
return nAdded
def make_frames(self, prover = None):
""" Splits the file stored in self.script into seperate commands,
and pairs these commands to their responses as provided by prover.
Arguments:
- prover: The prover to send commands to.
"""
document = Movie()
command = self.getCommand()
while command != None and len(command) != 0:
if self.isComment(command):
response = None
else:
response = prover.send(command)
id = 0
document.addFrame(Frame(id, command, response))
command = self.getCommand()
return document
def get_movie(root, path):
def get_movie_files(movie_path):
return [movie_file for movie_file in os.listdir(movie_path)
if os.path.isfile(os.path.join(movie_path, movie_file))
and (os.path.splitext(movie_file)[1] in utils.get_movie_extensions())]
if not os.path.exists(os.path.join(root, path)):
raise OSError('Path do not exist')
movie = Movie()
movie.path = path
rx = regex.get_movie(movie.path)
movie.search_year = rx['year']
movie.imdb = rx['imdbID']
movie.search_title = rx['title']
movie.search_alternative_title = utils.replace(rx['title'])
movie.path = os.path.join(root, movie.path)
files = get_movie_files(movie.path)
if len(files) < 1:
return movie
# todo: this *should* not longer be needed,
if 'new.mkv' in files and len(files) > 1:
os.remove(os.path.join(movie.path, 'new.mkv'))
files = get_movie_files(movie.path)
# todo: implement multi cd support
if len(files) == 1:
movie.files = [files[0]]
if len(files) > 1:
# get only files that are tagged as CD
for _file in [f for f in files if regex.get_cd(f) == '']:
files.remove(_file)
movie.files = files
return movie
def getMovieOrSeriesFromSelection(self, contextId, context):
"""
Obtain a movie or series from the currently-selected treeView row.
"""
# get the current movie selection
parentModel, parentIter = self.movieTreeSelection.get_selected()
treeModel = self.movieTreeStore
treeIndex = getChildModelSelection(parentModel, parentIter)
if treeIndex is None:
self.displaySelectMovieErrorMessage(contextId, context)
return None, None
if treeModel[treeIndex][-1]:
childIter = treeModel.iter_children(treeIndex)
seriesList = self.movieListIO.extractMovieTreeAsList(childIter)
return treeIndex, MovieSeries.fromList(treeModel[treeIndex],
seriesList)
else:
return treeIndex, Movie.fromList(treeModel[treeIndex])
def getDetails(self, movieId, append = None):
apiArgs = {'api_key' : self.api_key, 'append_to_response' : append}
query = API_URL + self.api_media + movieId + "?" + urlencode(apiArgs)
apiRequest = Request(query, headers=HEADERS)
result = urlopen(apiRequest).read()
data = json.loads(result)
genres = self.getGenres(data)
cast = self.getCast(data)
tempMovie = Movie()
tempMovie.setId(movieId)
tempMovie.setTitle(data[self.title])
tempMovie.setReleaseDate(data[self.date])
tempMovie.setGenre(genres)
tempMovie.setCast(cast)
tempMovie.setPosterPath(data['poster_path'])
return tempMovie
def __init__(self):
""" Initialize an empty Movie. """
Movie.__init__(self)
self._title = ""
self._scenes = []
def setUp(self): """ Setup: just construct a movie """ self.movie = Movie()
class Test_Movie(unittest.TestCase):
""" A set of test cases for movies. """
def setUp(self):
""" Setup: just construct a movie """
self.movie = Movie()
def test_AddFrame(self):
""" Addition of a frame in order should yield correct IDs """
frame1 = Frame(command = "command1", response = "response1")
self.movie.addFrame(frame1)
frame2 = Frame(command = "command2", response = "response2")
self.movie.addFrame(frame2)
frame3 = Frame(command = "command3", response = "response3")
self.movie.addFrame(frame3)
self.assertEquals(self.movie.getLength(), 3)
self.assertEquals(frame1.getId(), 0)
self.assertEquals(frame2.getId(), 1)
self.assertEquals(frame3.getId(), 2)
def _storeOpenAndCompareMovie(self):
self.movie.toFile(TESTFILM_PATH)
importMov = Movie()
importMov.openFile(TESTFILM_PATH)
self.assertEquals(str(self.movie.toxml()), str(importMov.toxml()))
def testToFromXML(self):
""" Writing and loading an empty Movie should give the same document """
self._storeOpenAndCompareMovie()
def testAddToFromXML(self):
self.movie.addFrame(Frame(command="cmd", response="resp"))
self._storeOpenAndCompareMovie()
def testSemiEmptyExport(self):
self.movie.addFrame(Frame(command="cmd", response=""))
self._storeOpenAndCompareMovie()
def testEmptyExport(self):
self.movie.addFrame(Frame(command="cmd"))
self._storeOpenAndCompareMovie()
def testIds(self):
""" Test if getFrameById works """
f1 = Frame(command = "cmd1", response = "rsp1")
f2 = Frame(command = "cmd2", response = "rsp2")
self.movie.addFrame(f1)
self.movie.addFrame(f2)
f1ById = self.movie.getFrameById(f1.getId())
self.assertEqual(f1, f1ById)
def _storeOpenAndCompareMovie(self):
self.movie.toFile(TESTFILM_PATH)
importMov = Movie()
importMov.openFile(TESTFILM_PATH)
self.assertEquals(str(self.movie.toxml()), str(importMov.toxml()))
def getMovie(self, code, profile = DEFAULT_PROFILE): retval = Movie(code = code) retval.getInfo(profile) return retval
d = json.loads(urllib2.urlopen(url).read())
return self.SearchResults(d["feed"])
def getMovie(self, code, profile = DEFAULT_PROFILE):
retval = Movie(code = code)
retval.getInfo(profile)
return retval
def getPerson(self, code, profile = DEFAULT_PROFILE):
retval = Person(code = code)
retval.getInfo(profile)
return retval
def reviewList(self, movie_code):
d = json.loads(urllib.urlopen("http://api.allocine.fr/rest/v3/reviewlist?partner=%s&format=json&code=%s" % (PARTNER_CODE, movie_code)).read())
return [Review(**i) for i in d["feed"]["review"]]
if __name__ == "__main__":
p = Allocine().search("robert de niro").persons[0]
p.getFilmography()
for m in p.filmography:
print("%s played in %s" % (p, m.movie))
m = Movie(code= 32070)
m.getInfo(profile = "large")
print("searching 'le parrain'")
results = Allocine().search("the godfather")
movie = results.movies[0]
print("first result is %s" % movie)
movie.getInfo()
print("synopsis of %s : %s" % (movie, movie.synopsisShort))
def getString(self):
movieString = ""
for movieId in self.movieList:
movieString += movieId.getString(";") + "\n"
return movieString
if __name__ == "__main__":
tempMovieList = MovieList()
for i in xrange(10):
tempMovie = Movie(
str(i),
"Fight Club",
"1999-10-15",
["Action", "Drama", "Thriller"],
["Edward Norton", "Brad Pitt"],
"/2lECpi35Hnbpa4y46JX0aY3AWTy.jpg",
)
tempMovieList.setMovie(tempMovie)
print tempMovieList.getString()
for j in xrange(10):
tempMovie = tempMovieList.getMovie(str(j))
if tempMovie is not None:
print tempMovie.getString(";")
print ""
def save_movie_info_to_mongo(title, rt_id=None, save_similar_movies=False,
overwrite=False):
AWS_ACCESS_KEY = settings.Config.AWS_ACCESS_KEY
AWS_SECRET_KEY = settings.Config.AWS_SECRET_KEY
AWS_AFFILIATE_KEY = settings.Config.AWS_AFFILIATE_KEY
ROTTEN_TOMATOES_API_KEY = settings.Config.ROTTEN_TOMATOES_API_KEY
TMDB_API_KEY = settings.Config.TMDB_API_KEY
if not overwrite and Movie.objects(_title=title).first() is not None:
print "{title}found in db".format(title=title)
return
print "searching {title}".format(title=title)
movie = MovieInfo(title, ROTTEN_TOMATOES_API_KEY, TMDB_API_KEY,
AWS_ACCESS_KEY, AWS_SECRET_KEY, AWS_AFFILIATE_KEY,
rt_id=rt_id)
# save the movie's information to the database:
# raw movie data
cast = movie.cast
critics_score = movie.critics_score
director = movie.director
genres = movie.genres
imdb_id = movie.imdb_id
poster = movie.poster
release_date = movie.release_date
reviews = movie.critic_reviews
runtime = movie.runtime
similar_movies = movie.similar_movies
synopsis = movie.synopsis
title = movie.title
trailers = movie.trailers
amazon_purchase_links = movie.get_amazon_purchase_links(cast[0], runtime)
# formatting some raw data into more complex sets of data
actors = convert_cast_json_to_obj(cast)
amazon_purchase_links = convert_amazon_purchase_link_json_to_obj(
amazon_purchase_links)
formatted_director = format_string(movie.director)
formatted_title = format_string(title)
reviews = convert_review_json_to_obj(reviews)
metadata = convert_to_metadata(imdb_id, runtime)
thumbnail = create_thumbnail(formatted_title, poster, verbose=True)
similar_movies_imdb_ids = convert_similar_movies_to_imdb_ids(
similar_movies)
kargs ={"_director": director,
"_formatted_director": formatted_director,
"_title": title,
"_formatted_title": formatted_title,
"_synopsis": synopsis,
"_critics_score": critics_score,
"_release_date": release_date,
"_poster": poster,
"_thumbnail": thumbnail,
"_cast": actors,
"_genres": genres,
"_metadata": metadata,
"_reviews": reviews,
"_similar_movies": similar_movies_imdb_ids,
"_trailers": trailers,
"_purchase_links": amazon_purchase_links}
if not overwrite:
print "saving {title}".format(title=title)
new_movie = Movie(**kargs)
new_movie.save()
index_movie(new_movie, verbose=True)
update_actors(actors, new_movie, verbose=True)
else:
print "updating {title}".format(title=title)
Movie.objects(_formatted_title=formatted_title).first().save(**kargs)
# save this movie's similar movies to mongo
if save_similar_movies:
for similar_movie in similar_movies:
title = similar_movie['title']
rt_id = similar_movie['id']
save_movie_info_to_mongo.delay(title, rt_id=rt_id,
save_similar_movies=True)
print "queuing up {title}".format(title=title)