def main():
args = get_args()
config = utils.get_config(args.config)
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
session = http_session.StorageSession(**config['session'],
access_key=utils.get_access_token())
root_dir = config['data']['root_dir']
raw_path = utils.build_path(root_dir=root_dir,
sub_dir=args.raw,
date=args.date,
ext='json')
data = download_data(session, path=raw_path)
rows = parse_data(data)
LOGGER.info("Retrieved %s rows", len(rows))
headers = utils.get_headers(config['fields'])
rows = transform.clean(rows, data_types=headers, date=args.date)
output_path = utils.build_path(root_dir=root_dir,
sub_dir=args.output,
date=args.date,
ext='csv')
utils.write_csv(path=output_path, rows=rows, header=args.header)
def __init__(self,
name=None,
key_resource_id=None,
extra_resources=None,
path=None,
lang="en"):
self.key_resource_id = urljoin(BASE_URL, key_resource_id.strip())
self.filename = hashlib.sha1(name.encode("utf-8")).hexdigest()
self.title = name if len(name) < 80 else name[:80]
self.path_levels = path
self.lang = lang
self.file = None
self.video = None
self.ids = set([])
LOGGER.info("Collecting: {}".format(self.key_resource_id))
LOGGER.info(" - Name: {}".format(self.title))
LOGGER.info(" - Lang: {}".format(self.lang))
self.html = HTMLLesson(source_id=self.key_resource_id,
name=self.title,
lang=self.lang)
if self.path_levels[-1] is None:
self.base_path = build_path([DATA_DIR] + self.path_levels[:-1] +
[self.filename])
else:
self.base_path = build_path([DATA_DIR] + self.path_levels +
[self.filename])
if extra_resources is not None:
LOGGER.info(" - Extra resources: {}".format(
len(extra_resources)))
self.set_extra_resources(extra_resources)
def __init__(self):
build_path([TESSIndiaChef.TREES_DATA_DIR])
self.scrape_stage = os.path.join(
TESSIndiaChef.TREES_DATA_DIR,
TESSIndiaChef.SCRAPING_STAGE_OUTPUT_TPL)
self.crawling_stage = os.path.join(
TESSIndiaChef.TREES_DATA_DIR,
TESSIndiaChef.CRAWLING_STAGE_OUTPUT_TPL)
super(TESSIndiaChef, self).__init__()
def pre_run(self, args, options):
build_path([FolkDCChef.TREES_DATA_DIR])
self.download_css_js()
self.lang = options.get('--lang', "en")
self.RICECOOKER_JSON_TREE = FolkDCChef.SCRAPING_STAGE_OUTPUT_TPL.format(
lang=self.lang)
self.scrape_stage = os.path.join(FolkDCChef.TREES_DATA_DIR,
self.RICECOOKER_JSON_TREE)
channel_tree = self.scrape(args, options)
self.write_tree_to_json(channel_tree)
def scrape(self, args, options):
download_video = options.get('--download-video', "1")
load_video_list = options.get('--load-video-list', "0")
if int(download_video) == 0:
global DOWNLOAD_VIDEOS
DOWNLOAD_VIDEOS = False
if int(load_video_list) == 1:
global LOAD_VIDEO_LIST
LOAD_VIDEO_LIST = True
global CHANNEL_SOURCE_ID
self.RICECOOKER_JSON_TREE = 'ricecooker_json_tree.json'
channel_tree = dict(
source_domain=CHANNEL_DOMAIN,
source_id=CHANNEL_SOURCE_ID,
title=CHANNEL_NAME,
description=
CHANNEL_DESCRIPTION[:400], #400 UPPER LIMIT characters allowed
thumbnail=CHANNEL_THUMBNAIL,
author=AUTHOR,
language=CHANNEL_LANGUAGE,
children=[],
license=LICENSE,
)
grades = GradeJsonTree(subject_node=SubjectNode)
grades.load("resources.json",
auto_parse=True,
author=AUTHOR,
license=LICENSE,
save_url_to=build_path([DATA_DIR, CHANNEL_SOURCE_ID]),
load_video_list=load_video_list)
base_path = [DATA_DIR]
base_path = build_path(base_path)
for grade in grades:
for subject in grade.subjects:
for lesson in subject.lessons:
video = lesson.download(download=DOWNLOAD_VIDEOS,
base_path=base_path)
lesson.add_node(video)
subject.add_node(lesson)
grade.add_node(subject)
channel_tree["children"].append(grade.to_dict())
return channel_tree
def scrape(self, args, options):
download_video = options.get('--download-video', "1")
load_video_list = options.get('--load-video-list', "0")
if int(download_video) == 0:
global DOWNLOAD_VIDEOS
DOWNLOAD_VIDEOS = False
if int(load_video_list) == 1:
global LOAD_VIDEO_LIST
LOAD_VIDEO_LIST = True
channel_tree = self.lessons()
base_path = [DATA_DIR] + ["data"]
base_path = build_path(base_path)
vocabulary = VocabularyConversationalEnglish()
for unit in vocabulary.auto_generate_units(BASE_URL, base_path):
vocabulary.add_node(unit)
english_grammar = EnglishGrammar()
for unit in english_grammar.auto_generate_units(base_path):
english_grammar.add_node(unit)
channel_tree["children"].append(english_grammar.to_node())
channel_tree["children"].append(vocabulary.to_node())
return channel_tree
def download(self, download=True, base_path=None):
if not "watch?" in self.source_id or "/user/" in self.source_id or\
download is False:
return
download_to = build_path([base_path, 'videos'])
for i in range(4):
try:
info = self.get_video_info(download_to=download_to, subtitles=False)
if info is not None:
LOGGER.info(" + Video resolution: {}x{}".format(info.get("width", ""), info.get("height", "")))
self.filepath = os.path.join(download_to, "{}.mp4".format(info["id"]))
self.filename = info["title"]
if self.filepath is not None and os.stat(self.filepath).st_size == 0:
LOGGER.info(" + Empty file")
self.filepath = None
except (ValueError, IOError, OSError, URLError, ConnectionResetError) as e:
LOGGER.info(e)
LOGGER.info("Download retry")
time.sleep(.8)
except (youtube_dl.utils.DownloadError, youtube_dl.utils.ContentTooShortError,
youtube_dl.utils.ExtractorError, OSError) as e:
LOGGER.info(" + An error ocurred, may be the video is not available.")
return
except OSError:
return
else:
return
def process(cmd, file_name, content):
""" Handler to process incoming commands
cmd: command name
file_name: file name to be processed by command
content: content of the file in case of create command
"""
logger.info('command: {}, file_name: {}, content: {}'
.format(cmd, file_name, content))
try:
utils.check_working_dir()
cmd_to_execute = COMMANDS.get(cmd, default_cmd)
file_path = utils.build_path(file_name)
if content:
result = cmd_to_execute(file_path, content)
else:
result = cmd_to_execute(file_path)
if result:
logger.info('result = {}'.format(result))
except CreateFileException as e:
logger.error('CreateFileException: {}'.format(e.message))
except ReadFileException as e:
logger.error('ReadFileException: {}'.format(e.message))
except RemoveFileException as e:
logger.error('RemoveFileException: {}'.format(e.message))
except GetMetaDataException as e:
logger.error('GetMetaDataException: {}'.format(e.message))
def scrape(self, args, options):
download_video = options.get('--download-video', "1")
basic_lessons = int(options.get('--basic-lessons', "0"))
intermedian_lessons = int(options.get('--intermedian-lessons', "0"))
load_video_list = options.get('--load-video-list', "0")
if int(download_video) == 0:
global DOWNLOAD_VIDEOS
DOWNLOAD_VIDEOS = False
if int(load_video_list) == 1:
global LOAD_VIDEO_LIST
LOAD_VIDEO_LIST = True
global channel_tree
if basic_lessons == 1:
channel_tree, subjects = self.k12_lessons()
elif intermedian_lessons == 1:
channel_tree, subjects = self.intermediate_lessons()
else:
channel_tree, subjects = self.k12_lessons()
base_path = [DATA_DIR] + ["King Khaled University in Abha"]
base_path = build_path(base_path)
for subject in subjects:
for topic in subject.topics:
for unit in topic.units:
unit.download(download=DOWNLOAD_VIDEOS,
base_path=base_path)
topic.add_node(unit)
subject.add_node(topic)
channel_tree["children"].append(subject.to_node())
return channel_tree
def write_videos(self, from_i=0, to_i=None):
path = [DATA_DIR] + ["abdullah_videos"]
path = build_path(path)
for section in self.get_sections(from_i=from_i, to_i=to_i):
LOGGER.info("* Section: {}".format(section.title))
section.download(download=DOWNLOAD_VIDEOS, base_path=path)
yield section.to_node()
def newProject(args=None):
'''
>>> p = newProject()
>>> p['message']
'Project has been created'
'''
filename = _check_project_index()
with open(filename, 'r') as fp:
pindexes = json.load(fp)
counter = pindexes['counter'] + 1
name = 'project-%d' % counter
path = os.path.join(project_base_path, name)
if os.path.exists(path):
logging.warning('Project path %s has been exists', path)
else:
logging.info('Make project path %s', path)
os.mkdir(path)
args = ['init', '--src', path, path]
_pyarmor(args)
pindexes['projects'][name] = os.path.abspath(path)
pindexes['counter'] = counter
with open(filename, 'w') as fp:
json.dump(pindexes, fp)
project = Project()
project.open(path)
project['name'] = name
project['title'] = name
project['output'] = build_path('dist', path)
return dict(project=project, message='Project has been created')
def scrape(self, args, options):
run_test = bool(int(options.get('--test', "0")))
global channel_tree
channel_tree = dict(
source_domain=FolkDCChef.BASE_URL,
source_id=CHANNEL_SOURCE_ID + "-" + self.lang,
title="{} ({})".format(CHANNEL_NAME, self.lang),
description=
"""Digital Children's Folksongs for Language and Cultural Learning: a collection of multi-language folk songs and activities for primary students to learn languages, engage in collaboration and critical thinking, and develop intercultural skills. Contains folk songs, activity suggestions, and teacher training materials."""[:
400], #400 UPPER LIMIT characters allowed
thumbnail=CHANNEL_THUMBNAIL,
author=AUTHOR,
language=self.lang,
children=[],
license=LICENSE,
)
if run_test is True:
return test(channel_tree)
else:
resources = Resource(lang=self.lang)
resources.load("resources.json")
for resource in resources:
base_path = build_path(
[DATA_DIR, resource.lang,
resource.cls_name()])
resource.to_file(base_path)
node = resource.to_dict()
if node is not None:
channel_tree["children"].append(node)
return channel_tree
def build_pdfs_nodes(self, urls, base_path):
base_path = build_path([base_path, 'pdfs'])
pdf_nodes = []
for pdf_url in urls:
pdf_file = File(source_id=pdf_url, lang=self.lang, title=self.title)
pdf_file.download(download=DOWNLOAD_FILES, base_path=base_path)
pdf_nodes.append(pdf_file)
return pdf_nodes
def _generate_resource_config(api_info, tag_info, custom_configs):
msg_prefix = {}
for i in ["create", "update", "get"]:
s = api_info.get(i, {}).get("msg_prefix", None)
if s:
msg_prefix[i] = s
create_api = api_info["create"]["api"]
rn = tag_info["name"]
if custom_configs:
rn = custom_configs.get("resource_name", rn)
if isinstance(rn, unicode):
raise Exception("Must config resouce_name in English, "
"because the tag is Chinese")
data = {
"name": rn[0].upper() + rn[1:].lower(),
"service_type": create_api["service_type"],
"base_url": build_path(create_api["path"]),
"msg_prefix": msg_prefix,
"description": tag_info.get("description", ""),
"create_verb": api_info["create"]["create_verb"],
}
if "update" in api_info:
data["update_verb"] = build_path(api_info["update"]["update_verb"])
if "list" in api_info:
info = api_info["list"]
if "identity" not in info:
raise Exception("Must config identity for list operation")
api = info["api"]
v = {
"path": build_path(api["path"]),
"identity": [{
"name": i
} for i in info["identity"]]
}
v["query_params"] = [{"name": i["name"]} for i in api["query_params"]]
if "msg_prefix" in info:
v["msg_prefix"] = info["msg_prefix"]
data["list_info"] = v
return pystache.Renderer().render_path("template/resource.mustache", data)
def articles(self):
for article_tag in self.soup.find_all("div", class_="views-row"):
title = article_tag.find("div", class_="views-field-title")
url = urljoin(BASE_URL, title.find("a").get("href"))
article = Article(title.text, url)
article.thumbnail = article_tag.find("img").get("src")
base_path = build_path([DATA_DIR, self.topic.title, article.title])
if article.to_file(base_path) is True:
yield article.to_node()
def store_raw_data(sampling_feature, date, directory, data):
suffix = sampling_feature.rpartition('/')[2]
path = utils.build_path(date=date, ext='xml', directory=directory, suffix=suffix)
# Serialise
with open(path, 'w') as file:
file.write(data)
LOGGER.info("Wrote '%s'", file.name)
def build_pdfs_nodes(self, base_path, content):
pdfs_url = self.get_pdfs_urls(content)
base_path = build_path([base_path, 'pdfs'])
for pdf_url in pdfs_url:
pdf_file = File(source_id=pdf_url,
lang=self.lang,
title=self.title)
pdf_file.download(download=DOWNLOAD_FILES, base_path=base_path)
yield pdf_file
def build_audio_nodes(self, base_path, content):
audio_urls = self.get_audio_urls(content)
base_path = build_path([base_path, 'audio'])
for audio_url in audio_urls:
audio_file = Audio(source_id=audio_url,
lang=self.lang,
title=self.title)
audio_file.download(download=DOWNLOAD_AUDIO, base_path=base_path)
yield audio_file
def build_video_nodes(self, base_path, content):
videos_url = self.get_videos_urls(content)
base_path = build_path([DATA_DIR])
video_nodes = []
for video_url in videos_url:
if YouTubeResource.is_youtube(
video_url) and not YouTubeResource.is_channel(video_url):
video = YouTubeResourceNode(video_url, lang=self.lang)
video.download(download=DOWNLOAD_VIDEOS, base_path=base_path)
yield video
def build_pdfs_nodes(self, base_path, content):
pdfs_urls = self.get_pdfs_urls(content)
base_path = build_path([base_path, 'pdfs'])
pdf_nodes = []
for pdf_url in pdfs_urls:
pdf_file = File(pdf_url, lang=self.lang, name=self.title)
pdf_file.download(download=DOWNLOAD_FILES, base_path=base_path)
node = pdf_file.to_node()
if node is not None:
pdf_nodes.append(node)
return pdf_nodes
def _build(args):
'''Build project, obfuscate all files in the project'''
project = Project()
project.open(args.project)
logging.info('Build project %s ...', args.project)
capsule = build_path(project.capsule, args.project)
if not args.only_runtime:
output = project.output
mode = project.get_obfuscate_mode()
files = project.get_build_files(args.force)
src = project.src
filepairs = [(os.path.join(src, x), os.path.join(output, x))
for x in files]
logging.info('%s increment build',
'Disable' if args.force else 'Enable')
logging.info('Search scripts from %s', src)
logging.info('Obfuscate %d scripts with mode %s', len(files), mode)
for x in files:
logging.info('\t%s', x)
logging.info('Save obfuscated scripts to %s', output)
obfuscate_scripts(filepairs, mode, capsule, output)
# for x in targets:
# output = os.path.join(project.output, x)
# pairs = [(os.path.join(src, x), os.path.join(output, x))
# for x in files]
# for src, dst in pairs:
# try:
# shutil.copy2(src, dst)
# except Exception:
# os.makedirs(os.path.dirname(dst))
# shutil.copy2(src, dst)
project['build_time'] = time.time()
project.save(args.project)
if not args.no_runtime:
logging.info('Make runtime files')
make_runtime(capsule, output)
if project.entry:
for x in project.entry.split(','):
filename = os.path.join(output, x.strip())
logging.info('Update entry script %s', filename)
make_entry(filename, project.runtime_path)
else:
logging.info('\tIn order to import obfuscated scripts, insert ')
logging.info('\t2 lines in entry script:')
logging.info('\t\tfrom pytransfrom import pyarmor_runtime')
logging.info('\t\tpyarmor_runtime()')
logging.info('Build project OK.')
def build_video_nodes(self, base_path, content):
videos_url = self.get_videos_urls(content)
base_path = build_path([DATA_DIR, "videos"])
video_nodes = []
for video_url in videos_url:
if YouTubeResource.is_youtube(video_url):
video = YouTubeResource(video_url, lang=self.lang)
video.download(download=DOWNLOAD_VIDEOS, base_path=base_path)
node = video.to_node()
if node is not None:
video_nodes.append(node)
return video_nodes
def test_build_path_with_lines(self):
fun_name = 'test_build_path_with_lines'
lines = True
correct = 'HP' + str(self.valid_booknum) + '/hp' + str(
self.valid_booknum) + '_' + str(self.valid_pagenum) + '_lines.png'
try:
assert correct == utils.build_path(self.valid_booknum,
self.valid_pagenum, lines)
print(fun_name + ' ' + SUCCESS)
return 1
except AssertionError:
print(fun_name + ' ' + FAILED)
return 0
def playlist_name_links(self):
name_url = []
source_id_hash = hashlib.sha1(self.source_id.encode("utf-8")).hexdigest()
base_path = build_path([DATA_DIR, CHANNEL_SOURCE_ID])
videos_url_path = os.path.join(base_path, "{}.json".format(source_id_hash))
if file_exists(videos_url_path) and LOAD_VIDEO_LIST is True:
with open(videos_url_path, "r") as f:
name_url = json.load(f)
else:
for url in self.playlist_links():
youtube = YouTubeResourceNode(url)
info = youtube.get_resource_info()
name_url.append((info["title"], url))
with open(videos_url_path, "w") as f:
json.dump(name_url, f)
return name_url
def save_thumbnail(url, title):
import imghdr
from io import BytesIO
try:
r = requests.get(url)
except:
return None
else:
img_buffer = BytesIO(r.content)
img_ext = imghdr.what(img_buffer)
if img_ext != "gif":
filename = "{}.{}".format(title, img_ext)
base_dir = build_path([DATA_DIR, DATA_DIR_SUBJECT, "thumbnails"])
filepath = os.path.join(base_dir, filename)
with open(filepath, "wb") as f:
f.write(img_buffer.read())
return filepath
def write_video(self, base_path, content):
videos = content.find_all(
lambda tag: tag.name == "a" and tag.attrs.get("href", "").find(
"youtube") != -1 or tag.attrs.get("href", "").find(
"youtu.be") != -1 or tag.text.lower() == "youtube")
VIDEOS_DATA_DIR = build_path([base_path, 'videos'])
for video in videos:
youtube = YouTubeResource(video.get("href", ""), lang=self.lang)
node = get_node_from_channel(youtube.resource_url, channel_tree)
if node is None:
youtube.to_file(filepath=VIDEOS_DATA_DIR)
node = youtube.node
if node is not None:
if video.parent.name == 'li':
video.parent.replace_with("Video name: " + node["title"])
if node["source_id"] not in self.ids:
self.nodes.append(node)
self.ids.add(node["source_id"])
def updateProject(args):
'''
>>> p = newProject()['project']
>>> updateProject(title='My Project')
'Update project OK'
'''
name = args['name']
path = os.path.join(project_base_path, name)
project = Project()
project.open(path)
if args['output']:
args['output'] = build_path(args['output'], path)
else:
args['output'] = os.path.join(path, 'dist')
project._update(args)
project.save(path)
return 'Update project OK'
def scrape(self, args, options):
download_video = options.get('--download-video', "1")
load_video_list = options.get('--load-video-list', "0")
if int(download_video) == 0:
global DOWNLOAD_VIDEOS
DOWNLOAD_VIDEOS = False
if int(load_video_list) == 1:
global LOAD_VIDEO_LIST
LOAD_VIDEO_LIST = True
global channel_tree
channel_tree, grades = self.lessons()
base_path = [DATA_DIR]
base_path = build_path(base_path)
for subject in grades:
for lesson in subject.lessons:
lesson.download(download=DOWNLOAD_VIDEOS, base_path=base_path)
channel_tree["children"].append(lesson.to_node())
return channel_tree
def download(self, base_path):
PDFS_DATA_DIR = build_path([base_path, 'pdfs'])
try:
response = sess.get(self.source_id)
content_type = response.headers.get('content-type')
if 'application/pdf' in content_type:
self.filepath = os.path.join(PDFS_DATA_DIR, self.filename)
with open(self.filepath, 'wb') as f:
for chunk in response.iter_content(10000):
f.write(chunk)
LOGGER.info(" - Get file: {}, node name: {}".format(
self.filename, self.name))
except requests.exceptions.HTTPError as e:
LOGGER.info("Error: {}".format(e))
except requests.exceptions.ConnectionError:
### this is a weird error, may be it's raised when the webpage
### is slow to respond requested resources
LOGGER.info(
"Connection error, the resource will be scraped in 5s...")
time.sleep(3)
except requests.exceptions.ReadTimeout as e:
LOGGER.info("Error: {}".format(e))
except requests.exceptions.TooManyRedirects as e:
LOGGER.info("Error: {}".format(e))
def train(lr,
w,
l2_reg,
epoch,
batch_size,
model_type,
num_layers,
data_type,
word2vec,
num_classes=2):
if data_type == "WikiQA":
train_data = WikiQA(word2vec=word2vec)
elif data_type == "MSRP":
train_data = MSRP(word2vec=word2vec)
train_data.open_file(mode="train")
print("=" * 50)
print("training data size:", train_data.data_size)
print("training max len:", train_data.max_len)
print("=" * 50)
model = ABCNN(s=train_data.max_len,
w=w,
l2_reg=l2_reg,
model_type=model_type,
num_features=train_data.num_features,
num_classes=num_classes,
num_layers=num_layers)
optimizer = tf.train.AdagradOptimizer(lr, name="optimizer").minimize(
model.cost)
# Due to GTX 970 memory issues
#gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.4)
init = tf.global_variables_initializer()
# keep no more than 100 models
saver = tf.train.Saver(max_to_keep=100)
session_config = tf.ConfigProto(allow_soft_placement=True)
session_config.gpu_options.allow_growth = True
with tf.Session(config=session_config) as sess:
#with tf.Session() as sess:
train_summary_writer = tf.summary.FileWriter("C:/tf_logs/train",
sess.graph)
sess.run(init)
print("=" * 50)
for e in range(1, epoch + 1):
print("[Epoch " + str(e) + "]")
train_data.reset_index()
i = 0
clf_features = []
while train_data.is_available():
i += 1
batch_x1, batch_x2, batch_y, batch_features = train_data.next_batch(
batch_size=batch_size)
merged, _, c, features = sess.run(
[
model.merged, optimizer, model.cost,
model.output_features
],
feed_dict={
model.x1: batch_x1,
model.x2: batch_x2,
model.y: batch_y,
model.features: batch_features
})
clf_features.append(features)
if i % 100 == 0:
print("[batch " + str(i) + "] cost:", c)
train_summary_writer.add_summary(merged, i)
save_path = saver.save(sess,
build_path("./models/", data_type,
model_type, num_layers),
global_step=e)
print("model saved as", save_path)
clf_features = np.concatenate(clf_features)
print("training finished!")
print("=" * 50)