def loadVideos(catalog):
file_name = cf.data_dir + "videos-large.csv"
input_file = csv.DictReader(open(file_name, encoding="utf-8"))
i = 0
for video in input_file:
i += 1
model.addVideo(catalog, video)
model.addCategory_videos(catalog, video)
model.addCountry(catalog, video)
print("Cantidad de videos cargados: ", i)
def loadVideos(catalog):
"""
Carga los videos del archivo al catalogo
"""
booksfile = cf.data_dir + 'videos-20pct.csv'
input_file = csv.DictReader(open(booksfile, encoding='utf-8'))
for video in input_file:
model.addVideoToCat(catalog, video)
model.addVideo(catalog, video)
model.addCountry(catalog, video)
def loadVideos(catalog):
"""
Carga los videos del archivo. Por cada video se toma su categoria y por
cada una de ellas, se crea en la lista de categorias, a dicha categoria
una referencia al video que se esta procesando.
"""
videosfile = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(
open(videosfile, encoding='utf-8', errors='ignore'))
for video in input_file:
model.addVideo(catalog, video)
def loadData(catalog):
videosfile = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
video["trending_date"] = datetime.strptime(video["trending_date"],"%y.%d.%m").date()
model.addVideo(catalog, video)
categoriesfile = cf.data_dir + "category-id.csv"
i_file = csv.DictReader(open(categoriesfile, encoding='utf-8'), delimiter='\t')
for category in i_file:
model.addCategory(catalog,category)
def loadVideos(catalog):
"""
Carga los videos del archivo. Por cada video se indica al modelo que debe adicionarlo al catalogo
"""
videosfile = cf.data_dir + 'Samples/videos-large.csv' #TODO cambiar la cantidad de videos por cargar
inputfile = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in inputfile:
model.addVideo(catalog, video)
model.addVideoByCategory(catalog, video)
model.addVideoByCountry(catalog, video)
model.addCategoryAndCountry(catalog, video)
video['trending_time'] = 1
model.addVideoById(catalog, video)
def loadVideos(catalog):
file = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(open(file, encoding='utf-8', errors='ignore'))
for video in input_file:
sub_catalog = {
'video_id': video['video_id'],
'trending_date': str(video['trending_date']),
'title': video['title'],
'cannel_title': video['channel_title'],
'category_id': int(video['category_id']),
'publish_time': video['publish_time'],
'tags': str(video['tags']),
'views': int(video['views']),
'likes': int(video['likes']),
'dislikes': int(video["dislikes"]),
'country': video['country']
}
model.addVideo(catalog, sub_catalog)
def loadVideos(catalog):
"""
Args:
catalog: Catálogo de videos.
Carga todos los vídeos del archivo y los agrega a la lista de vídeos
"""
videosfile = cf.data_dir + 'videos/videos-large.csv' # videos-large para la entrega
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
filtered_video = {
'video_id':
video['video_id'],
'trending_date':
dt.datetime.strptime(video['trending_date'], '%y.%d.%m').date(),
'title':
video['title'],
'channel_title':
video['channel_title'],
'category_id':
int(video['category_id']),
'publish_time':
dt.datetime.strptime(video['publish_time'],
"%Y-%m-%dT%H:%M:%S.%fZ"),
'tags':
video['tags'],
'views':
int(video['views']),
'likes':
int(video['likes']),
'dislikes':
int(video['dislikes']),
'country':
video['country'],
'dias_t':
1
}
model.addVideo(catalog, filtered_video)
model.addVideoCountry(catalog, filtered_video['country'],
filtered_video)
def loadVideos(catalog):
"""Crea un diccionario con la informacion del video para que sea posteriormente agregado
al catalogo en su lista correspondiente"""
videosfile = cf.data_dir + "videos-small.csv"
input_file = csv.DictReader(open(videosfile, encoding="utf-8"))
for video in input_file:
filtrado = {}
filtrado["video_id"] = video["video_id"]
filtrado["trending_date"] = video["trending_date"]
filtrado["title"] = video["title"]
filtrado["channel_title"] = video["channel_title"]
filtrado["category_id"] = int(video["category_id"])
filtrado["publish_time"] = video["publish_time"]
filtrado["tags"] = video["tags"]
filtrado["country"] = video["country"]
filtrado["views"] = int(video["views"])
filtrado["likes"] = int(video["likes"])
filtrado["dislikes"] = int(video["dislikes"])
filtrado["trending_date"] = video["trending_date"]
filtrado["publish_time"] = video["publish_time"]
model.addVideo(catalog, filtrado)
def loadVideos(catalog):
videosfile = cf.data_dir + 'Videos/videos-small.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
contador = 1
for e in input_file:
ee={
'video_id':e['video_id'],
'trending_date': datetime.strptime(e['trending_date'],'%y.%d.%m').date(),
'title':e['title'],
'channel_title':e['channel_title'],
'category_id': e['category_id'],
'publish_time':iso.parse_date(e['publish_time']),
'tags':e['tags'],
'views':e['views'],
'likes':e['likes'],
'dislikes':e['dislikes'],
'country':e['country']
}
model.addVideo(catalog, ee)
model.addVideoCountry(catalog,ee,contador)
model.addVideoCategory(catalog,ee,contador)
contador+=1
model.verP(catalog)
def loadVideos(catalog):
"""
Carga los libros del archivo. Por cada video se toman los datos necesarios:
video id, trending date, category id, views, nombre del canal, país, nombre del
video, likes, dislikes, fecha de publicación, likes y tags.
"""
videosfile = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
cada_video = {
'video_id':
video['video_id'],
'trending_date':
datetime.strptime(video['trending_date'], '%y.%d.%m').date(),
'category_id':
int(video['category_id']),
'views':
int(video['views']),
'channel_title':
video['channel_title'],
'country':
video['country'],
'title':
video['title'],
'likes':
video['likes'],
'dislikes':
video['dislikes'],
'publish_time':
video['publish_time'],
'tags':
video['tags']
}
model.addVideo(catalog, cada_video)
def loadVids(catalog):
vfile = cf.data_dir + 'videos-small.csv'
input_file = csv.DictReader(open(vfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog, video)
def loadVideos(catalog):
vidsfile = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(open(vidsfile, encoding='utf-8'))#,dialect=',')
for video in input_file:
model.addVideo(catalog, video)
def loadVideos(catalog, TypeList):
videosfile = cf.data_dir + "videos-small.csv"
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog, video, TypeList)
def loadVideos(catalog):
datos_videos = cf.data_dir + 'videos-small.csv'
input_file = csv.DictReader(open(datos_videos, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog,video)
return None
def loadVideos(catalog, dtEstructure):
videosfile = cf.data_dir + 'videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog, video, dtEstructure)
def loadVideos(catalog):
videosfile = (cf.data_dir + 'videos-large.csv').replace("\\", "/")
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog, video)
def loadVideos(catalog):
videosfile = cf.data_dir + 'video-samples/samples/videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalog, video)
def loadVideos(catalog):
videosfile = cf.data_dir + 'Videos/videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addCountry(catalog, video['country'], video)
model.addVideo(catalog, video)
def loadVideos(catalog):
videoFile = cf.data_dir + 'videos-small.csv'
inputFile = csv.DictReader(open(videoFile, encoding="utf-8"))
for video in inputFile:
model.addVideo(catalog, video)
def loadVideos(catalogo):
videosfile = cf.test_dir + 'videos-large.csv'
input_file = csv.DictReader(open(videosfile, encoding='utf-8'))
for video in input_file:
model.addVideo(catalogo, video)
