def define_words(a_list):
"""
:param a_list: a list of words
:return: alist of semicolon separated information about each word
- word, type of word, example usage
"""
a_result = []
with open("words_wiki_500.txt", "w") as out_file:
for word in a_list:
"""stahni stranku z cambridge
najdi jednotlive casti pomoci regexpu
sloz vysledek
pridej do resultu
"""
clean_word = word.strip()
logger.debug("word: %s" % clean_word)
utils.download(get_page(clean_word), get_file_name(clean_word), logger)
word_type = utils.get_info(
get_file_name(clean_word),
'span class="headword">.*?%s.*?span class="pos".*?>(.*?)<' % clean_word,
logger,
)
out_line = "%s\t%s\n" % (clean_word, word_type)
logger.debug(out_line)
out_file.write(out_line)
out_file.close()
def multiple_engine(self, song, lrc_path, artist, title):
try:
ret = False
result = TTPlayer().request(artist, title)
if result:
if config.getboolean("lyrics", "auto_download"):
ret = utils.download(result[0][2], lrc_path)
if ret and self.vaild_lrc(lrc_path):
return lrc_path
else:
os.unlink(lrc_path)
duomi_result = DUOMI().request(artist, title)
if duomi_result:
if config.getboolean("lyrics", "auto_download"):
ret = utils.download(duomi_result[0][2], lrc_path, "gbk")
if ret and self.vaild_lrc(lrc_path):
return lrc_path
else:
os.unlink(lrc_path)
soso_result = SOSO().request(artist, title)
if soso_result:
if config.getboolean("lyrics", "auto_download"):
ret = utils.download(soso_result[0][2], lrc_path, "gb18030")
if ret and self.vaild_lrc(lrc_path):
return lrc_path
else:
os.unlink(lrc_path)
except:
return None
def fetch_house_committee_meetings(committees, options):
# Load any existing meetings file so we can recycle any GUIDs.
existing_meetings = []
output_file = output_for("house")
if os.path.exists(output_file):
existing_meetings = json.load(open(output_file))
opts = dict(options)
opts["binary"] = True
opts["force"] = True
meetings = []
seen_meetings = set()
# Scrape the committee listing page for a list of committees with scrapable events.
committee_html = utils.download(
"http://docs.house.gov/Committee/Committees.aspx", "committee_schedule/house_overview.html", options
)
for cmte in re.findall(r'<option value="(....)">', committee_html):
if cmte not in committees:
logging.error("Invalid committee code: " + cmte)
continue
# Download the feed for this committee.
html = utils.download(
"http://docs.house.gov/Committee/RSS.ashx?Code=%s" % cmte, "committee_schedule/house_%s.xml" % cmte, opts
)
# It's not really valid?
html = html.replace(
" ", " "
) # who likes nbsp's? convert to spaces. but otherwise, entity is not recognized.
# print html
# Parse and loop through the meetings listed in the committee feed.
dom = lxml.etree.fromstring(html)
# original start to loop
for mtg in dom.xpath("channel/item"):
eventurl = unicode(mtg.xpath("string(link)"))
event_id = re.search(r"EventID=(\d+)$", eventurl).group(1)
pubDate = datetime.datetime.fromtimestamp(mktime(parsedate(mtg.xpath("string(pubDate)"))))
# skip old records of meetings, some of which just give error pages
if pubDate < (datetime.datetime.now() - datetime.timedelta(days=60)):
continue
# Events can appear in multiple committee feeds if it is a joint meeting.
if event_id in seen_meetings:
logging.info("Duplicated multi-committee event: " + event_id)
continue
seen_meetings.add(event_id)
# this loads the xml from the page and sends the xml to parse_house_committee_meeting
load_xml_from_page(eventurl, options, existing_meetings, committees, event_id, meetings)
# if bad zipfile
if load_xml_from_page == False:
continue
print "[house] Found %i meetings." % len(meetings)
return meetings
def extract_content(self):
classes = self.extract_classes()
for klass in classes[1:]: # Exclude ONLINE CLASS
folder_name = remove_accents(klass['class'])
create_folder(folder_name)
print('Extracting Class: {0}'.format(klass['class']))
self.browser.get('https://unipac-bomdespacho.blackboard.com{0}'.format(klass['href']))
self.browser.find_element_by_id('header::0-whatsNewView::CO').click() # Open content list
block_class_contents = self.browser.find_element_by_id('block::0-whatsNewView::CO')
class_contents = block_class_contents.find_elements_by_css_selector(
"a[onclick*='nautilus_utils.actionSelected']"
)
i_content = 0
for i_content in range(i_content, len(class_contents)):
try:
block_classes_contents = self.browser.find_element_by_id('block::0-whatsNewView::CO')
class_contents = block_classes_contents.find_elements_by_css_selector(
"a[onclick*='nautilus_utils.actionSelected']"
)
class_contents[i_content].click()
self.check_visibility(By.CLASS_NAME, "individualContent-link")
file_link = self.browser.find_element_by_class_name('individualContent-link').get_attribute('href')
cookies = self.browser.get_cookies()
download(cookies, file_link, folder_name)
self.browser.back()
self.check_visibility(By.ID, "block::0-whatsNewView::CO")
except TimeoutException:
print("Error in: {0} - {1}".format(klass['class'], klass['href']))
def populate_events(ap_args):
"""Main function to populate the database with archive events.
:Parameters:
- ap_args : dict : Information related to archive(s).
"""
FLOG.debug(ap_args)
if __name__ != '__main__':
ap_args = check_if_params(ap_args)
check_arg_for_none_value(ap_args)
CLOG.info('DB Populate args :- ' + str(ap_args))
arch_path = ap_args.get('temp')
del_arch_path = ap_args.get('delete_temp')
if not arch_path:
arch_path = gisc_msgs.TEMP_LOCATION
arg = [k for k in ap_args if k is not 'temp'][0]
if arg is 'url':
empty_directory(arch_path)
download(ap_args[arg], arch_path)
elif arg is 'arch_date':
empty_directory(arch_path)
download(get_url_from_date(ap_args[arg]), arch_path)
elif arg is 'src_dir':
arch_path = ap_args[arg]
elif arg is 'zip':
extract_zip(ap_args[arg], arch_path)
elif arg is 'files':
empty_directory(arch_path)
map(lambda x: handle_valid_invalid_files(x, arch_path), ap_args[arg])
populate(arch_path)
if arg is not 'src_dir' and del_arch_path:
empty_directory(arch_path, False)
def main():
with tf.variable_scope('input') as scope:
# use variable instead of placeholder because we're training the intial image to make it
# look like both the content image and the style image
input_image = tf.Variable(np.zeros([1, IMAGE_HEIGHT, IMAGE_WIDTH, 3]), dtype=tf.float32)
utils.download(VGG_DOWNLOAD_LINK, VGG_MODEL, EXPECTED_BYTES)
model = vgg_model.load_vgg(VGG_MODEL, input_image)
model['global_step'] = tf.Variable(0, dtype=tf.int32, trainable=False, name='global_step')
content_image = utils.get_resized_image(CONTENT_IMAGE, IMAGE_HEIGHT, IMAGE_WIDTH)
content_image = content_image - MEAN_PIXELS
style_image = utils.get_resized_image(STYLE_IMAGE, IMAGE_HEIGHT, IMAGE_WIDTH)
style_image = style_image - MEAN_PIXELS
model['content_loss'], model['style_loss'], model['total_loss'] = _create_losses(model,
input_image, content_image, style_image)
###############################
## TO DO: create optimizer
model['optimizer'] = tf.train.AdamOptimizer(LR).minimize(model['total_loss'],
global_step=model['global_step'])
###############################
model['summary_op'] = _create_summary(model)
initial_image = utils.generate_noise_image(content_image, IMAGE_HEIGHT, IMAGE_WIDTH, NOISE_RATIO)
train(model, input_image, initial_image)
def get(gist_id, requested_file, destination_dir, facade):
""" Download a gist file.
Gists can have several files. This method searches for and downloads
a single file from a gist.
If the 'requested_file' is not informed, then it won't raise an error
only if the gist have just a single file.
:param gist_id: identifier of the gist to download
:param requested_file: name of the Gist file to download
:param destination_dir: destination directory after the download
:param facade: instance of the object that actually perform the request
"""
# Get the gist information
response = facade.request_gist(gist_id)
if response.ok:
# Gist file found. Parse it into a 'model.Gist' class.
gist_obj = model.Gist(get_json(response))
list_names = [gistfile.filename for gistfile in gist_obj.files]
if len(gist_obj.files) == 1 and not requested_file:
# Download the only file in the gist
gistfile = gist_obj.files[0]
download(gistfile.raw_url, destination_dir,
gistfile.filename, gistfile.size)
result = build_result(True, literals.DOWNLOAD_OK,
gistfile.filename)
else:
# Gist have more than one file and filename not specified. Error
if not requested_file:
list_names = ", ".join(list_names)
result = build_result(False, literals.DOWNLOAD_MORE_FILES,
list_names)
else:
# Search for the Gist file
gistfile = gist_obj.getFile(requested_file)
if gistfile:
# Gist file found. Download it.
download(gistfile.raw_url, destination_dir,
gistfile.filename, gistfile.size)
result = build_result(True, literals.DOWNLOAD_OK,
gistfile.filename)
else:
# Requested file not found in Gist
list_of_names = ", ".join(list_names)
result = build_result(False, literals.FILE_NOT_FOUND,
list_of_names)
else:
# Handle GitHub response error
result = build_result(False, literals.DOWNLOAD_ERROR,
get_json(response)['message'])
return result
def install(self, args=None):
download('http://www.lacusveris.com/PythonTidy/PythonTidy-1.16.python', 'pythontidy.py')
mkdir(finalTidyDir)
shutil.move(join(alePath('tmp'), 'pythontidy.py'), finalTidyPath)
os.system('chmod +x %s' % finalTidyPath)
logging.info('Patching tidy to wrap at 120 columns instead of 80 ...')
os.system('patch %s %s' % (finalTidyPath, join(alePath('recipes_all/tidy/'), 'tidy80col.patch')))
def main(url=ZIP_CODE_URL):
path = utils.DATASET_HOME + ADDRESS_ZIP
utils.download(url, path)
files = utils.unzip(path)
if files and len(files) > 0:
write_address(files[0])
else:
print("failed to download or unzip the file. please see at {0}.".format(utils.DATASET_HOME))
def __init__(self, input_img):
# 下载文件
utils.download(VGG_DOWNLOAD_LINK, VGG_FILENAME, EXPECTED_BYTES)
# 加载文件
self.vgg_layers = scipy.io.loadmat(VGG_FILENAME)["layers"]
self.input_img = input_img
# VGG在处理图像时候会将图片进行mean-center，所以我们首先要计算RGB三个channel上的mean
self.mean_pixels = np.array([123.68, 116.779, 103.939]).reshape((1, 1, 1, 3))
def _download(self, src, dst_path):
"""download a file"""
src_file = os.path.basename(src)
dst = os.path.join(dst_path, src_file)
if os.path.isfile(dst):
logging.info('"%s" already exists, download skipped', dst)
else:
utils.make_dirs(dst_path)
utils.download(src, dst)
def download_report(report):
report_path = "%s/%s/%s/report.%s" % (report['inspector'], report['year'], report['report_id'], report['file_type'])
binary = (report['file_type'] == 'pdf')
utils.download(
report['url'],
"%s/%s" % (utils.data_dir(), report_path),
{'binary': binary}
)
return report_path
def do_snapshot_download(self, args):
'''Download a SNAPSHOT'''
snapshot = args.snapshot
body = self.client.snapshot_download(snapshot=snapshot)
result = utils.loads(body)
result.pop()
if len(result) == 0:
print('Snapshot %s does not exist.' % snapshot)
return -1
uri=result.pop()
utils.download(uri)
def multiple_engine(self, song, lrc_path, artist, title):
try:
ret = False
ting_result = poster.query_lrc_info(artist, title)
if ting_result:
urls = [item[2] for item in ting_result]
for url in urls:
ret = utils.download(url, lrc_path)
if ret:
return lrc_path
result = TTPlayer().request(artist, title)
if result:
urls = [item[2] for item in result]
for url in urls:
ret = utils.download(url, lrc_path)
if ret and self.vaild_lrc(lrc_path):
return lrc_path
ttpod_result = TTPod().request_data(artist, title)
if ttpod_result:
with open(lrc_path, 'wb') as fp:
fp.write(ttpod_result)
return lrc_path
duomi_result = DUOMI().request(artist, title)
if duomi_result:
urls = [item[2] for item in duomi_result]
for url in urls:
ret = utils.download(url, lrc_path, "gbk")
if ret and self.vaild_lrc(lrc_path):
return lrc_path
soso_result = SOSO().request(artist, title)
if soso_result:
urls = [item[2] for item in soso_result]
for url in urls:
ret = utils.download(url, lrc_path, "gb18030")
if ret and self.vaild_lrc(lrc_path):
return lrc_path
try:
os.unlink(lrc_path)
except:
pass
return None
except Exception, e:
print e
return None
def download_to_cache(meta):
if not isdir(SRC_CACHE):
os.makedirs(SRC_CACHE)
fn = meta['fn']
md5 = meta.get('md5')
path = join(SRC_CACHE, fn)
if not isfile(path):
download(meta['url'], path, md5)
if md5 and not md5_file(path) == md5:
raise Exception("MD5 mismatch: %r" % meta)
return path
def iso(self, name):
"""download ISOs"""
dst = os.path.join(self.cfg['paths']['isos'], name + '.iso')
if os.path.isfile(dst):
logging.info('nothing to do, "%s" already exists', dst)
return
distribution = name.split('-', 1)[0]
if distribution == 'ubuntu':
url = self.iso_ubuntu(name)
elif distribution == 'debian':
url = self.iso_debian(name)
utils.make_dirs(self.cfg['paths']['isos'])
utils.download(url, dst)
def vote_ids_for_house(congress, session_year, options):
vote_ids = []
index_page = "http://clerk.house.gov/evs/%s/index.asp" % session_year
group_page = r"ROLL_(\d+)\.asp"
link_pattern = r"http://clerk.house.gov/cgi-bin/vote.asp\?year=%s&rollnumber=(\d+)" % session_year
# download index page, find the matching links to the paged listing of votes
page = utils.download(
index_page,
"%s/votes/%s/pages/house.html" % (congress, session_year),
options)
if not page:
logging.error("Couldn't download House vote index page, aborting")
return None
# extract matching links
doc = html.document_fromstring(page)
links = doc.xpath(
"//a[re:match(@href, '%s')]" % group_page,
namespaces={"re": "http://exslt.org/regular-expressions"})
for link in links:
# get some identifier for this inside page for caching
grp = re.match(group_page, link.get("href")).group(1)
# download inside page, find the matching links
page = utils.download(
urlparse.urljoin(index_page, link.get("href")),
"%s/votes/%s/pages/house_%s.html" % (congress, session_year, grp),
options)
if not page:
logging.error("Couldn't download House vote group page (%s), aborting" % grp)
continue
doc = html.document_fromstring(page)
votelinks = doc.xpath(
"//a[re:match(@href, '%s')]" % link_pattern,
namespaces={"re": "http://exslt.org/regular-expressions"})
for votelink in votelinks:
num = re.match(link_pattern, votelink.get("href")).group(1)
vote_id = "h" + num + "-" + str(congress) + "." + session_year
if not should_process(vote_id, options):
continue
vote_ids.append(vote_id)
return utils.uniq(vote_ids)
def download_chainfile(source_assembly, target_assembly):
"""
Download if needed, putting in the cache_dir.
If the environmental variable HUBWARD_CACHE_DIR does not exist, then use
~/.hubward_cache
"""
cache_dir = os.environ.get(
'HUBWARD_CACHE_DIR', os.path.expanduser('~/.hubward_cache'))
utils.makedirs(cache_dir)
url = chainfile_url(source_assembly, target_assembly)
dest = os.path.join(cache_dir, os.path.basename(url))
utils.download(url, dest)
return dest
def fetch_version(bill_version_id, options):
# Download MODS etc.
logging.info("\n[%s] Fetching..." % bill_version_id)
bill_type, number, congress, version_code = utils.split_bill_version_id(bill_version_id)
# bill_id = "%s%s-%s" % (bill_type, number, congress)
utils.download(
mods_url_for(bill_version_id),
document_filename_for(bill_version_id, "mods.xml"),
utils.merge(options, {'binary': True, 'to_cache': False})
)
return write_bill_version_metadata(bill_version_id)
def POST(self, category):
i = web.input('olid', author=None, file={}, source_url=None, success_url=None, failure_url=None)
success_url = i.success_url or web.ctx.get('HTTP_REFERRER') or '/'
failure_url = i.failure_url or web.ctx.get('HTTP_REFERRER') or '/'
def error(code__msg):
(code, msg) = code__msg
print("ERROR: upload failed, ", i.olid, code, repr(msg), file=web.debug)
_cleanup()
url = changequery(failure_url, errcode=code, errmsg=msg)
raise web.seeother(url)
if i.source_url:
try:
data = download(i.source_url)
except:
error(ERROR_INVALID_URL)
source_url = i.source_url
elif i.file is not None and i.file != {}:
data = i.file.value
source_url = None
else:
error(ERROR_EMPTY)
if not data:
error(ERROR_EMPTY)
try:
save_image(data, category=category, olid=i.olid, author=i.author, source_url=i.source_url, ip=web.ctx.ip)
except ValueError:
error(ERROR_BAD_IMAGE)
_cleanup()
raise web.seeother(success_url)
def go_to_list_html(param, cookie, viewstate, retry):
global proxy
logger.info('搜索前置页面-开始初始搜索------ %s' % retry)
if retry <= 0:
return None
url = 'http://ehire.51job.com/Candidate/SearchResumeNew.aspx'
# param = {"function_code": "0107", "functionName": "软件工程师", "region_code": "010000",
# "regionName": "北京"}
data = arouse_utils.get_frist_post_headers(viewstate, param=param)
logger.info(proxy)
result = utils.download(url=url,
data=data,
proxy=proxy,
cookie=cookie,
method='post')
if result['code'] != 0:
logger.error("连接页面异常 ,重试: retry= %s" % retry)
proxy = utils.get_proxy()
return go_to_list_html(param, cookie, viewstate, retry - 1)
elif '用户数不够' in result['data'] or len(result['data']) < 1000:
logger.error("代理异常,重试: retry= %s" % retry)
proxy = utils.get_proxy()
return go_to_list_html(cookie, viewstate, retry - 1)
if '您的操作过于频繁，请注意劳逸结合' in result['data']:
return None
return result['data']
def go_to_search_html(cookie, retry):
global proxy
if retry <= 0:
return None
logger.info('跳转搜索前置页面中------%s ' % retry)
url = 'http://ehire.51job.com/Candidate/SearchResumeIndexNew.aspx'
headers = arouse_utils.get_get_headers(
'http://ehire.51job.com/Navigate.aspx')
if not proxy:
proxy = utils.get_proxy()
logger.info(proxy)
utils_download = utils.download(url=url,
headers=headers,
proxy=proxy,
cookie=cookie)
if utils_download['code'] != 0:
logger.error('搜索页面出错:%s %s' % (url, retry))
if utils_download.get(
'data'
) and '<a href="/MainLogin.aspx?returl=' in utils_download['data']:
return 'login'
proxy = utils.get_proxy()
return go_to_search_html(cookie, retry - 1)
if '<a href="/MainLogin.aspx?returl=' in utils_download['data']:
return 'login'
viewstate = arouse_utils.find(
'<input type="hidden" name="__VIEWSTATE" id="__VIEWSTATE" value="(.*?)" />',
utils_download['data'])
if not viewstate:
proxy = utils.get_proxy()
go_to_search_html(cookie, retry - 1)
return viewstate
def download_page(url=None,
method=None,
header=None,
proxy=None,
data=None,
session=None,
need_session=False):
logger = utils.get_logger()
if not proxy:
proxy = local_proxy()
for x in xrange(0, 5):
result = utils.download(url=url,
headers=header,
data=data,
method=method,
need_session=need_session,
session=session,
proxy=proxy,
allow_redirects=True,
retry_time=1)
if result['code'] == 0:
logger.info('success when download %s ' % url)
break
else:
proxy = local_proxy()
result['code'] = 500
time.sleep(1)
result['proxy'] = proxy
return result
def candidate_for(bioguide):
url = current_bioguide[bioguide]["terms"][-1].get("url", None)
if not url:
if debug:
print "[%s] No official website, skipping" % bioguide
return None
if debug:
print "[%s] Downloading..." % bioguide
cache = "congress/%s.html" % bioguide
body = utils.download(url, cache, force)
all_matches = []
for regex in regexes[service]:
matches = re.findall(regex, body, re.I)
if matches:
all_matches.extend(matches)
if all_matches:
for candidate in all_matches:
passed = True
for blacked in blacklist[service]:
if re.search(blacked, candidate, re.I):
passed = False
if not passed:
if debug:
print "\tBlacklisted: %s" % candidate
continue
return candidate
return None
def fetch_nomination(nomination_id, options={}):
logging.info("\n[%s] Fetching..." % nomination_id)
# fetch committee name map, if it doesn't already exist
nomination_type, number, congress = utils.split_nomination_id(nomination_id)
if not number:
return {'saved': False, 'ok': False, 'reason': "Couldn't parse %s" % nomination_id}
if not utils.committee_names:
utils.fetch_committee_names(congress, options)
# fetch bill details body
body = utils.download(
nomination_url_for(nomination_id),
nomination_cache_for(nomination_id, "information.html"), options)
if not body:
return {'saved': False, 'ok': False, 'reason': "failed to download"}
if options.get("download_only", False):
return {'saved': False, 'ok': True, 'reason': "requested download only"}
'''
# TO DO
## detect group nominations, particularly for military promotions
## detect when a group nomination is split into sub nominations because of divergent Senate action
'''
nomination = parse_nomination(nomination_id, body, options)
output_nomination(nomination, options)
return {'ok': True, 'saved': True}
def next_html(account_cookies, data, retry):
logger.info('开始进行下一页 %s %s' % (
account_cookies.get('userName', ''),
retry,
))
global proxy
if retry <= 0:
return None
cookie = account_cookies.get('cookie')
headers = arouse_utils.get_get_headers()
url = 'http://ehire.51job.com/Candidate/SearchResumeNew.aspx'
logger.info(proxy)
result = utils.download(url=url,
data=data,
proxy=proxy,
cookie=cookie,
headers=headers,
method='post')
if result['code'] != 0:
logger.error("连接页面异常 ,重试: retry= %s" % retry)
proxy = utils.get_proxy()
return next_html(cookie, data, retry - 1)
elif '用户数不够' in result['data'] or len(result['data']) < 1000:
logger.error("代理异常,重试: retry= %s" % retry)
proxy = utils.get_proxy()
return next_html(cookie, data, retry - 1)
if '您的操作过于频繁，请注意劳逸结合' in result['data']:
return None
return result['data']
def mirror_package(sitemap, package_name, lastmod, content_detail_url, options):
"""Create a local mirror of a FDSys package."""
# Return a list of files we downloaded.
results = []
if not options.get("granules", False):
# Most packages are just a package. This is the usual case.
results = mirror_package_or_granule(sitemap, package_name, None, lastmod, options)
else:
# In some collections, like STATUTE, each document has subparts which are not
# described in the sitemap. Load the main HTML page and scrape for the sub-files.
# In the STATUTE collection, the MODS information in granules is redundant with
# information in the top-level package MODS file. But the only way to get granule-
# level PDFs is to go through the granules.
content_index = utils.download(content_detail_url,
"fdsys/package/%s/%s/%s.html" % (sitemap["year"], sitemap["collection"], package_name),
utils.merge(options, {
'binary': True,
}))
if not content_index:
raise Exception("Failed to download %s" % content_detail_url)
for link in html.fromstring(content_index).cssselect("table.page-details-data-table td.rightLinkCell a"):
if link.text == "More":
m = re.match("granule/(.*)/(.*)/content-detail.html", link.get("href"))
if not m or m.group(1) != package_name:
raise Exception("Unmatched granule URL %s" % link.get("href"))
granule_name = m.group(2)
results = mirror_package_or_granule(sitemap, package_name, granule_name, lastmod, options)
return results
def get_matching_pages():
# Does a Wikipedia API search for pages containing either of the
# two templates. Returns the pages.
page_titles = set()
for template in ("CongLinks", "CongBio"):
eicontinue = ""
while True:
# construct query URL, using the "eicontinue" of the last query to get the next batch
url = 'http://en.wikipedia.org/w/api.php?action=query&list=embeddedin&eititle=Template:%s&eilimit=500&format=xml' % template
if eicontinue: url += "&eicontinue=" + eicontinue
# load the XML
print("Getting %s pages (%d...)" % (template, len(page_titles)))
dom = lxml.etree.fromstring(utils.download(url, None, True)) # can't cache eicontinue probably
for pgname in dom.xpath("query/embeddedin/ei/@title"):
page_titles.add(pgname)
# get the next eicontinue value and loop
eicontinue = dom.xpath("string(query-continue/embeddedin/@eicontinue)")
if not eicontinue: break
return page_titles
def fetch(repo):
"""
Downloads a repository given the url of a zip and returns the contained modules.
Automatically excludes modules that require an unsupported spec_version.
The result is a dictionary of dictionaries with this structure:
{ identifier: { version: metadata } }
"""
logging.info("Fetching repo {}".format(repo["name"]))
archive = ZipFile(StringIO(utils.download(repo["url"])))
result = dict()
for entry in [name for name in archive.namelist() if name.endswith(".ckan")]:
metadata = json.loads(archive.read(entry))
id, ver = metadata["identifier"], metadata["version"]
if not metadata["spec_version"] in pykan.supported_spec_versions:
logging.debug("Ignoring {} {} because of unsupported spec_version {}"
.format(id, ver, metadata["spec_version"]))
continue
# result[identifier] = { version: metadata }
if id in result:
result[id] = {ver: metadata}
else:
result[id][ver] = metadata
return result
def fetch_bioguide_page(bioguide, force):
url = "http://bioguide.congress.gov/scripts/biodisplay.pl?index=%s" % bioguide
cache = "legislators/bioguide/%s.html" % bioguide
try:
body = download(url, cache, force)
# Fix a problem?
body = body.replace("Á\xc2\x81", "Á")
# Entities like ’ are in Windows-1252 encoding. Normally lxml
# handles that for us, but we're also parsing HTML. The lxml.html.HTMLParser
# doesn't support specifying an encoding, and the lxml.etree.HTMLParser doesn't
# provide a cssselect method on element objects. So we'll just decode ourselves.
body = utils.unescape(body, "Windows-1252")
dom = lxml.html.parse(io.StringIO(body)).getroot()
except lxml.etree.XMLSyntaxError:
raise Exception("Error parsing: " + url)
# Sanity check.
if len(dom.cssselect("title")) == 0:
raise Exception("No page for bioguide %s!" % bioguide)
return dom
def POST(self, category):
i = web.input(olid=None, author=None, data=None, source_url=None, ip=None, _unicode=False)
web.ctx.pop("_fieldstorage", None)
web.ctx.pop("_data", None)
def error(code__msg):
(code, msg) = code__msg
_cleanup()
e = web.badrequest()
e.data = simplejson.dumps({"code": code, "message": msg})
raise e
source_url = i.source_url
data = i.data
if source_url:
try:
data = download(source_url)
except:
error(ERROR_INVALID_URL)
if not data:
error(ERROR_EMPTY)
try:
d = save_image(data, category=category, olid=i.olid, author=i.author, source_url=i.source_url, ip=i.ip)
except ValueError:
error(ERROR_BAD_IMAGE)
_cleanup()
return simplejson.dumps({"ok": "true", "id": d.id})
def run(options):
# Download the TSV file.
cache_zip_path = "adler-wilkerson-bills.zip"
utils.download(
"http://congressionalbills.org/billfiles/bills80-92.zip",
cache_zip_path,
utils.merge(options, {'binary': True, 'needs_content': False}))
# Unzip in memory and process the records.
zfile = zipfile.ZipFile(utils.cache_dir() + "/" + cache_zip_path)
csvreader = csv.DictReader(zfile.open("bills80-92.txt"), delimiter="\t")
for record in csvreader:
rec = process_bill(record)
import pprint
pprint.pprint(rec)
def get_input(self):
args = self.arguments
if args.download:
self.log.info("downloading")
archive_name, url = self.downloadInfo()
return open(download(args.data_dir, archive_name, url), 'r')
return args.input
def vote_ids_for_senate(congress, session_year, options):
session_num = int(session_year) - utils.get_congress_first_year(int(congress)) + 1
vote_ids = []
page = utils.download(
"http://www.senate.gov/legislative/LIS/roll_call_lists/vote_menu_%s_%d.xml" % (congress, session_num),
"%s/votes/%s/pages/senate.xml" % (congress, session_year),
utils.merge(options, {'binary': True})
)
if not page:
logging.error("Couldn't download Senate vote XML index, aborting")
return None
dom = etree.fromstring(page)
# Sanity checks.
if int(congress) != int(dom.xpath("congress")[0].text):
logging.error("Senate vote XML returns the wrong Congress: %s" % dom.xpath("congress")[0].text)
return None
if int(session_year) != int(dom.xpath("congress_year")[0].text):
logging.error("Senate vote XML returns the wrong session: %s" % dom.xpath("congress_year")[0].text)
return None
# Get vote list.
for vote in dom.xpath("//vote"):
num = int(vote.xpath("vote_number")[0].text)
vote_id = "s" + str(num) + "-" + str(congress) + "." + session_year
if not should_process(vote_id, options):
continue
vote_ids.append(vote_id)
return vote_ids
def create_task_from_mysql(use_keyword='0'):
logger = utils.get_logger()
logger.info('start create task from mysql.')
mysql_pool = PersistentDB(
MySQLdb,
host=common_settings.MYSQL_HOST,
user=common_settings.MYSQL_USER,
passwd=common_settings.MYSQL_PASSWD,
db='spider',
port=common_settings.MYSQL_PORT,
charset='utf8'
)
conn = mysql_pool.connection()
cur = conn.cursor()
# city_number = cur.execute('select code from city_entrence where source="ZHAO_PIN_GOU" and valid=1')
# cities = cur.fetchall()
function_number = cur.execute('select * from function_entrence where source="ZHAO_PIN_GOU" and valid=1')
functions = cur.fetchall()
# logger.info('the number of city and functions is:%s, %s' % (city_number, function_number))
# if not city_number or not function_number:
# return
logger.info('the number of functions is:%s, %s' % (len(city_order), function_number))
if not function_number:
return
add_task_url = common_settings.TASK_URL + common_settings.CREATE_TASK_PATH
headers = {'Content-Type': 'application/x-www-form-urlencoded;charset=UTF-8', }
today = datetime.datetime.today()
next_datetime = datetime.datetime(today.year, today.month, today.day, 0, 0, 0) + datetime.timedelta(days=1)
deadline = int(time.mktime(time.strptime(next_datetime.strftime('%Y-%m-%d %H:%M:%S'), '%Y-%m-%d %H:%M:%S'))) * 1000
# use_keyword = '0' if datetime.datetime.now().hour<12 else '1'
# city_result = []
# if cities:
# cities = [i[0] for i in cities]
# for i in city_order:
# if i in cities:
# city_result.append(i)
# cities.remove(i)
# city_result = city_result + cities
random.shuffle(city_order)
for city in city_order:
for function in functions:
add_task_data = {
"callSystemID": "morgan-zhaopingou-resume-1",
"source": 'ZHAO_PIN_GOU',
"traceID": str(uuid.uuid1()),
# "executeParam": json.loads(i.strip()),
"executeParam": json.dumps(
{"fenleiName": function[4], "pFenLeiName": function[1], "positionName": function[7],
"hopeAdressStr": city, "fId": int(function[5]), "pFId": int(function[2]), "pId": int(function[8]),
"id": int(function[11]), 'use_keyword': use_keyword}, ensure_ascii=False),
"taskType": "RESUME_FETCH",
"deadline": deadline
}
add_task_result = utils.download(url=add_task_url, is_json=True, headers=headers, method='post',
data=add_task_data)
logger.info('done.')
def fetch_version(bill_version_id, options):
# Download MODS etc.
logging.info("\n[%s] Fetching..." % bill_version_id)
bill_type, number, congress, version_code = utils.split_bill_version_id(
bill_version_id)
# bill_id = "%s%s-%s" % (bill_type, number, congress)
utils.download(mods_url_for(bill_version_id),
document_filename_for(bill_version_id, "mods.xml"),
utils.merge(options, {
'binary': True,
'to_cache': False
}))
return write_bill_version_metadata(bill_version_id)
def start_mission(self):
if self.artist_name:
query_result = multi_query_artist_engine(self.artist_name)
if query_result:
if utils.download(query_result,
get_tmp_save_path(self.artist_name)):
cleanup_cover(get_tmp_save_path(self.artist_name),
get_cover_save_path(self.artist_name))
def download_file(url, dt_referencia, file_name):
# verifica se o arquivo deve ser baixado
if not utils.check_download(dt_referencia, file_name):
return False
dt_referencia = dt_referencia.strftime('%d/%m/%Y')
params = {
'Titulo_1': 'quadro-resumo',
'Consulta_1': 'Ambos',
'Dt_Ref': dt_referencia,
'DataIni': dt_referencia,
'DataFim': dt_referencia,
'Indice': 'quadro-resumo',
'Consulta': 'Ambos',
'saida': 'csv',
'Idioma': 'PT'
}
utils.download(url, params, file_name)
def transformer_download(to_path=DEFAULT_TO_PATH,
replace_existing=False) -> str:
transformer_path = os.path.abspath(
os.path.join(to_path, "distilbert-base-nli-mean-tokens"))
if os.path.exists(transformer_path) and not replace_existing:
print(f"already downloaded! {transformer_path}")
return transformer_path
transformer_zip = os.path.join(to_path,
"distilbert-base-nli-mean-tokens.zip")
download(
"https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/distilbert-base-nli-mean-tokens.zip",
transformer_zip,
)
with ZipFile(transformer_zip, "r") as z:
z.extractall(transformer_path)
os.remove(transformer_zip)
return transformer_path
def baixar_titulos():
html = download('http://www.tce.pi.gov.br/')
soup = bs(html, 'html.parser')
news_div = soup.find('div', id='latestnews')
lista_news = news_div.find_all('li', class_='latestnews')
return lista_news
def scrape(options):
hoy = datetime.datetime.now().strftime('%d%m%Y')
fecha = options.get('fecha', hoy)
integracion = options.get('integracion', 'D')
tipoleg = options.get('tipoleg', 'Tit')
orden = options.get('orden', 'Legislador')
grafico = options.get('grafico', 's')
query = "?Fecha=%s&Cuerpo=%s&Integracion=%s&TipoLeg=%s&Orden=%s&Grafico=%s" % (
fecha, cuerpo, integracion, tipoleg, orden, grafico)
url_to_scrape = "http://www.parlamento.gub.uy/GxEmule/IntcpoGrafico.asp%s" % query
logging.info(
"Scrapeando informacion de diputados desde pagina del parlamento. \nURL: %s."
% url_to_scrape)
body = utils.download(url_to_scrape,
'legisladores/camara_%s_%s.html' % (cuerpo, hoy),
options.get('force', False), options)
doc = lxml.html.document_fromstring(body)
tablas = doc.xpath("//table")
rows = tablas[3].cssselect('tr td')
diputados = []
for row in rows:
mail_base = row.xpath("a[starts-with(@href, 'mailto')]/@href")
if mail_base:
email = mail_base[0].split(':', 1)[1]
else:
email = ''
congress_people = {
'nombre':
format_word(
row.xpath('br/following-sibling::text()')[0].split(',')[1]),
'apellido':
format_word(
row.xpath('br/following-sibling::text()')[0].split(',')[0]),
'partido':
format_word(row.xpath('br/following-sibling::text()')[1]),
'email':
email,
'foto':
base_url + row.xpath('img/@src')[0],
'departamento':
format_word(row.xpath('br/following-sibling::text()')[2])
}
diputados.append(congress_people)
output_path = "data/diputados.json"
utils.write(
json.dumps(diputados,
sort_keys=True,
indent=2,
default=utils.format_datetime,
encoding="utf-8"), output_path)
def __init__(self,):
sha1sum_id = "72cb19612318bb304d4a169804f525f88dc3f0d0"
dataset = "petfinder"
file_name = f"{dataset}_for_unit_tests.zip"
url = get_repo_url() + file_name
save_path = os.path.join(get_data_home_dir(), file_name)
self._path = os.path.join(get_data_home_dir(), dataset)
download(
url=url,
path=save_path,
sha1_hash=sha1sum_id,
)
protected_zip_extraction(
save_path,
sha1_hash=sha1sum_id,
folder=self._path,
)
self._train_df = pd.read_csv(os.path.join(self._path, 'train.csv'), index_col=0)
self._test_df = pd.read_csv(os.path.join(self._path, 'test.csv'), index_col=0)
for img_col in self.image_columns:
self._train_df[img_col] = self._train_df[img_col].apply(
lambda ele: path_expander(ele, base_folder=os.path.join(self._path, "images")))
self._test_df[img_col] =\
self._test_df[img_col].apply(
lambda ele: path_expander(ele, base_folder=os.path.join(self._path, "images")))
print(self._train_df[img_col][0])
print(self._test_df[img_col][0])
_, self._train_df = train_test_split(
self._train_df,
test_size=0.1,
random_state=np.random.RandomState(123),
stratify=self._train_df[self.label_columns[0]],
)
_, self._test_df = train_test_split(
self._test_df,
test_size=0.1,
random_state=np.random.RandomState(123),
stratify=self._test_df[self.label_columns[0]],
)
self._train_df.reset_index(drop=True, inplace=True)
self._test_df.reset_index(drop=True, inplace=True)
print(f"train sample num: {len(self._train_df)}")
print(f"test sample num: {len(self._test_df)}")
def prepare_ffmpeg(out_dir=None, version=None):
ffmpeg_version = "4.1.3"
output_dir = os.getcwd() + "/test/"
ffmpeg_win32_dev_url = "https://ffmpeg.zeranoe.com/builds/win32/dev/ffmpeg-" + ffmpeg_version + "-win32-dev.zip"
ffmpeg_win64_dev_url = "https://ffmpeg.zeranoe.com/builds/win64/dev/ffmpeg-" + ffmpeg_version + "-win64-dev.zip"
ffmpeg_win32_shared_url = "https://ffmpeg.zeranoe.com/builds/win32/shared/ffmpeg-" + ffmpeg_version + "-win32-shared.zip"
ffmpeg_win64_shared_url = "https://ffmpeg.zeranoe.com/builds/win64/shared/ffmpeg-" + ffmpeg_version + "-win64-shared.zip"
pre_downloads = [
ffmpeg_win32_dev_url,
ffmpeg_win64_dev_url,
ffmpeg_win32_shared_url,
ffmpeg_win64_shared_url
]
wanted_downloads = {}
for d in pre_downloads:
wanted_downloads[d] = d[d.rfind('/')+1:]
for url, filename in wanted_downloads.items():
if not Path(output_dir + filename).is_file() or os.stat(output_dir + filename).st_size == 0:
print("Downloading " + url + " ...")
download(url, output_dir + filename)
print("Extract " + filename + " ...")
ZipFile(output_dir + filename, 'r').extractall(output_dir)
# Copy include headers
shutil.copytree(output_dir + get_dirname_from_link(ffmpeg_win32_dev_url) + "/include", output_dir + "/include/ffmpeg")
# Copy libraries
shutil.copytree(output_dir + get_dirname_from_link(ffmpeg_win32_dev_url) + "/lib", output_dir + "/lib/ffmpeg/win32")
shutil.copytree(output_dir + get_dirname_from_link(ffmpeg_win64_dev_url) + "/lib", output_dir + "/lib/ffmpeg/win64")
# Copy dlls
shutil.copytree(output_dir + get_dirname_from_link(ffmpeg_win32_shared_url) + "/bin", output_dir + "/bin/win32")
shutil.copytree(output_dir + get_dirname_from_link(ffmpeg_win64_shared_url) + "/bin", output_dir + "/bin/win64")
unnecessary_zip_files = []
unnecessary_dirs = []
for url, zip_file in wanted_downloads.items():
unnecessary_zip_files.append(output_dir + zip_file)
unnecessary_dirs.append(
output_dir + zip_file[:zip_file.rfind('.')])
remove_unnecessary_files_or_dirs(
unnecessary_zip_files, unnecessary_dirs)
def get_sitemap(year, collection, lastmod, options):
"""Gets a single sitemap, downloading it if the sitemap has changed.
Downloads the root sitemap (year==None, collection==None), or
the sitemap for a year (collection==None), or the sitemap for
a particular year and collection. Pass lastmod which is the current
modification time of the file according to its parent sitemap, which
is how it knows to return a cached copy.
Returns the sitemap parsed into a DOM.
"""
# Construct the URL and the path to where to cache the file on disk.
if year == None:
url = "http://www.gpo.gov/smap/fdsys/sitemap.xml"
path = "fdsys/sitemap/sitemap.xml"
elif collection == None:
url = "http://www.gpo.gov/smap/fdsys/sitemap_%s/sitemap_%s.xml" % (year, year)
path = "fdsys/sitemap/%s/sitemap.xml" % year
else:
url = "http://www.gpo.gov/smap/fdsys/sitemap_%s/%s_%s_sitemap.xml" % (year, year, collection)
path = "fdsys/sitemap/%s/%s.xml" % (year, collection)
# Should we re-download the file?
lastmod_cache_file = utils.cache_dir() + "/" + path.replace(".xml", "-lastmod.txt")
if options.get("cached", False):
# If --cached is used, don't hit the network.
force = False
elif not lastmod:
# No *current* lastmod date is known for this file (because it is the master
# sitemap file, probably), so always download.
force = True
else:
# If the file is out of date or --force is used, download the file.
cache_lastmod = utils.read(lastmod_cache_file)
force = (lastmod != cache_lastmod) or options.get("force", False)
if force:
logging.warn("Downloading: %s" % url)
body = utils.download(url, path, utils.merge(options, {
'force': force,
'binary': True
}))
if not body:
raise Exception("Failed to download %s" % url)
# Write the current last modified date to disk so we know the next time whether
# we need to fetch the file.
if lastmod and not options.get("cached", False):
utils.write(lastmod, lastmod_cache_file)
try:
return etree.fromstring(body)
except etree.XMLSyntaxError as e:
raise Exception("XML syntax error in %s: %s" % (url, str(e)))
def search(self, q):
results = {"movies": [], "people": []}
q = urlparse.quote(q.encode('utf8'))
url = self.baseURL + "/search/?q=" + q + "&p=.htm"
soup = utils.download(url)
soup = search.trim_search_page(soup)
results["movies"] = search.movie_search(q, soup)
results["people"] = search.people_search(soup)
return results
def mirror_file(year, collection, package_name, lastmod, granule_name,
file_types, options):
# Where should we store the file?
path = get_output_path(year, collection, package_name, granule_name,
options)
if not path: return # should skip
# Do we need to update this record?
lastmod_cache_file = path + "/lastmod.txt"
cache_lastmod = utils.read(lastmod_cache_file)
force = ((lastmod != cache_lastmod) or options.get(
"force", False)) and not options.get("cached", False)
# Try downloading files for each file type.
targets = get_package_files(package_name, granule_name, path)
for file_type in file_types:
if file_type not in targets:
raise Exception("Invalid file type: %s" % file_type)
f_url, f_path = targets[file_type]
if (not force) and os.path.exists(f_path):
continue # we already have the current file
logging.warn("Downloading: " + f_path)
data = utils.download(
f_url, f_path,
utils.merge(
options, {
'xml':
True,
'force':
force,
'to_cache':
False,
'needs_content':
file_type == "text" and f_path.endswith(".html"),
}))
if not data:
if file_type == "pdf":
# expected to be present for all packages
raise Exception("Failed to download %s" % package_name)
else:
# not all packages have all file types, but assume this is OK
logging.error("file not found: " + f_url)
if file_type == "text" and f_path.endswith(".html"):
# The "text" format files are put in an HTML container. Unwrap it into a .txt file.
# TODO: Encoding? The HTTP content-type header says UTF-8, but do we trust it?
# html.fromstring does auto-detection.
with open(f_path[0:-4] + "txt", "w") as f:
text_content = unicode(html.fromstring(data).text_content())
f.write(text_content.encode("utf8"))
# Write the current last modified date to disk so we know the next time whether
# we need to fetch the files for this sitemap item.
if lastmod and not options.get("cached", False):
utils.write(lastmod, lastmod_cache_file)
def process_dent(self, nwo, ext, library_candidates) -> Tuple[List[Dict[str, Any]], List[Tuple[str, str]]]:
# Process dependents (applications) to get function calls
dents = []
edges = []
_, nwo = remap_nwo(nwo)
if nwo is None:
return dents, edges
tmp_dir = download(nwo)
files = walk(tmp_dir, ext)
sha = None
for f in files:
context_and_calls = self.get_context_and_function_calls(f)
if context_and_calls is None:
continue
if sha is None:
sha = get_sha(tmp_dir, nwo)
nwo, path, context, calls = context_and_calls
libraries = []
for cxt in context:
if type(cxt) == dict:
libraries.extend([v.split('.')[0] for v in cxt.values()])
elif type(cxt) == list:
libraries.extend(cxt)
match_scopes = {}
for cxt in set(libraries):
if cxt in library_candidates:
match_scopes[cxt] = library_candidates[cxt]
for call in calls:
for depended_library_name, dependend_library_functions in match_scopes.items():
for depended_library_function in dependend_library_functions:
# Other potential filters: len(call['identifier']) > 6 or len(call['identifier'].split('_')) > 1
if (call['identifier'] not in self.language_parser.STOPWORDS and
((depended_library_function['identifier'].split('.')[-1] == '__init__' and
call['identifier'] == depended_library_function['identifier'].split('.')[0]) or
((len(call['identifier']) > 9 or
(not call['identifier'].startswith('_') and len(call['identifier'].split('_')) > 1)) and
call['identifier'] == depended_library_function['identifier'])
)):
dent = {
'nwo': nwo,
'sha': sha,
'path': path,
'language': self.language,
'identifier': call['identifier'],
'argument_list': call['argument_list'],
'url': 'https://github.com/{}/blob/{}/{}#L{}-L{}'.format(nwo, sha, path,
call['start_point'][0] + 1,
call['end_point'][0] + 1)
}
dents.append(dent)
edges.append((dent['url'], depended_library_function['url']))
return dents, edges
def download(self, basin):
"""Download IBTrACS data.
"""
self.logger.info('Downloading IBTrACS')
utils.setup_signal_handler()
utils.set_format_custom_text(
self.CONFIG['ibtracs']['data_name_length'])
# url = self.CONFIG['ibtracs']['urls']['since1980']
url = self.CONFIG['ibtracs']['urls'][basin]
file = url.split('/')[-1]
file = file[:-3].replace('.', '_') + '.nc'
dir = self.CONFIG['ibtracs']['dirs']
os.makedirs(dir, exist_ok=True)
self.ibtracs_file_path = f'{dir}{file}'
utils.download(url, self.ibtracs_file_path, progress=True)
def main(url=JAPANESE_URL):
content = utils.download(url)
soup = BeautifulSoup(content)
text_nodes = soup.find_all(name=["p", "td", "li"], text=True)
texts = []
for t in [tn.text for tn in text_nodes]:
texts.append([t])
utils.write_file(JAPANESE_TXT, texts)
def main():
RESOURCE_URL = "http://repositorio.dados.gov.br/saude/unidades-saude/unidade-basica-saude/ubs.csv.zip"
OUTPUT_PATH = "C:/eclipse/saida.zip"
EXTRACTED_PATH = "C:/eclipse/"
if len(sys.argv) > 1:
RESOURCE_URL = sys.argv[1]
if len(sys.argv) > 2:
OUTPUT_PATH = sys.argv[2]
if len(sys.argv) > 3:
EXTRACTED_PATH = sys.argv[3]
response = request.urlopen(RESOURCE_URL)
out_file = io.FileIO(OUTPUT_PATH, mode="w")
content_length = response.getheader('Content-Length')
if content_length:
length = int(content_length)
dw.download_length(response, out_file, length)
else:
dw.download(response, out_file)
zfile = zipfile.ZipFile(OUTPUT_PATH)
zfile.extractall(EXTRACTED_PATH)
filename = [name for name in os.listdir(EXTRACTED_PATH) if '.csv' in name]
dt = dw.loadlistfromcsv(EXTRACTED_PATH+filename[0])
for t in dt:
print(t)
print("Finished")
#dic = dw.dicio(dt)
columns_index = {'cod_munic': 2, 'cod_cnes': 3, 'nome_estab': 4, 'desc_endereco': 5}
index = ('cod_munic', 'cod_cnes')
dict = dw.create_index_from(dt, columns_index, index)
for t in dict:
print("{0} : {1} ".format(t, dict[t]))
response.close()
out_file.close()
print("Finished")
def create_task_for_meituan():
logger = utils.get_logger()
logger.info('start create task for meituan.')
add_task_url = common_settings.TASK_URL + common_settings.CREATE_TASK_PATH
headers = {
'Content-Type': 'application/x-www-form-urlencoded;charset=UTF-8',
}
deadline = datetime.datetime.now() + datetime.timedelta(days=1)
deadline = int(time.mktime(deadline.timetuple())) * 1000
# for func in [u'客服/技术支持', u'售前/售后服务', u'网络/在线客服', u'客服经理/主管', u'客户关系/投诉协调人员', u'客服咨询热线/呼叫中心人员', u'vip专员', u'售前/售后技术支持', u'其他客服/技术支持职位']:
# add_task_data = {
# "callSystemID": common_settings.CALLSYSTEMID,
# "source": 'CH_HR',
# "traceID": str(uuid.uuid1()),
# # "executeParam": json.loads(i.strip()),
# "executeParam": json.dumps({"zone": u'石家庄', "keyword": func, "degree": 0, "refreshTime": 1, "page_now": 1}, ensure_ascii=False),
# "taskType": common_settings.TASK_TYPE,
# "deadline": deadline
# }
# add_task_result = utils.download(url=add_task_url, is_json=True, headers=headers, method='post', data=add_task_data)
for city in [u'石家庄', u'邢台', u'衡水', u'保定', u'沧州']:
for function in [
u'行政', u'行政经理/主管/办公室主任', u'行政专员/助理', u'文员/文秘/秘书/助理',
u'内勤/后勤/总务', u'前台/总机/接待', u'商务/行政司机', u'其他行政职位', u'客服/技术支持',
u'售前/售后服务', u'网络/在线客服', u'客服经理/主管', u'客户关系/投诉协调人员',
u'客服咨询热线/呼叫中心人员', u'vip专员', u'售前/售后技术支持', u'其他客服/技术支持职位'
]:
add_task_data = {
"callSystemID":
common_settings.CALLSYSTEMID,
"source":
'CH_HR',
"traceID":
str(uuid.uuid1()),
# "executeParam": json.loads(i.strip()),
"executeParam":
json.dumps(
{
"zone": city,
"keyword": function,
"degree": 0,
"refreshTime": 1,
"page_now": 1
},
ensure_ascii=False),
"taskType":
common_settings.TASK_TYPE,
"deadline":
deadline
}
add_task_result = utils.download(url=add_task_url,
is_json=True,
headers=headers,
method='post',
data=add_task_data)
def crawl(path, pid=None):
body = download("http://petitions.whitehouse.gov" + path,
path.split('/')[2] + ".html")
page = etree.parse(StringIO(body), parser)
#catch page text whether or not petition is still active
#http://stackoverflow.com/questions/5662404/how-can-i-select-an-element-with-multiple-classes-with-xpath
text = "\n".join(
page.xpath(
"//div[contains(concat(' ',@class,' '),' petition-detail')]/p/text()"
))
#check if expired
if "The petition you are trying to access has expired" in text:
return {"status": "expired"}
#if raw_date not found, probably a bad link (or change in HTML, so we should be careful)
try:
raw_date = page.xpath("//div[@class='date']/text()")[0].strip()
except:
return {"status": "error", "reason": "no date"}
created = datetime.strptime(raw_date, "%b %d, %Y").strftime("%Y-%m-%d")
signatures = page.xpath("//div[@class='num-block num-block2']/text()")
#indiciates possible response
if len(signatures) == 0:
signatures = page.xpath("//div[@class='num-block']/text()")
response = page.xpath(
"//div[contains(concat(' ',@class,' '),' petition-response')]")
if response:
status = "answered"
else:
return {"status": "error", "reason": "no signatures"}
else:
status = "active"
signatures = int(signatures[0].replace(",", ''))
if not pid:
#no pid if fewer than 20 signatures
try:
pid = page.xpath(
"//a[@class='load-next no-follow active']/@rel")[0]
except:
pid = "N/A"
return {
"id": pid,
"status": status,
"title": page.xpath("//h1[@class='title']/text()")[0].strip(),
"body": text,
"issues": page.xpath("//div[@class='issues']/a/text()"),
"created": created,
"visited": datetime.now().strftime("%Y-%m-%d-%H:%M:%S"),
"signature_count": signatures,
"url": "http://petitions.whitehouse.gov" + path
}
def get_lrc(self, song, try_web=True):
lrc_path = self.get_lrc_filepath(song)
# user allocation lrc
location_lrc = song.get("location_lrc", "")
if location_lrc and os.path.exists(location_lrc):
return location_lrc
# lrc already exist
if os.path.exists(lrc_path):
if self.vaild_lrc(lrc_path):
return lrc_path
else:
try:
os.unlink(lrc_path)
except:
pass
# search in current directory and same name file
current_lrc_path = os.path.join(song.get_dir(),
song.get_filename() + ".lrc")
if os.path.exists(current_lrc_path) and self.vaild_lrc(
current_lrc_path):
return current_lrc_path
# Search in local directory of the file
if song.get("uri") != None and song.get_scheme() == "file":
local_lrc = os.path.join(song.get_dir(),
self.get_lrc_search_str(song))
if os.path.exists(local_lrc):
return local_lrc
if try_web and is_network_connected():
if song.get("lyric_url", None):
ret = utils.download(song.get("lyric_url"), lrc_path)
if ret:
return lrc_path
trust_a = song.get_str("artist")
trust_t = song.get_str("title")
filename = song.get_filename()
if "-" in filename:
untrust_a = filename.split("-")[0].strip()
untrust_t = filename.split("-")[1].strip()
else:
untrust_a = song.get_str("artist")
untrust_t = song.get_filename()
trust_result = self.multiple_engine(song, lrc_path, trust_a,
trust_t)
if trust_result:
return trust_result
else:
return self.multiple_engine(song, lrc_path, untrust_a,
untrust_t)
return None
def fetch_vote(vote_id, options):
logging.info("\n[%s] Fetching..." % vote_id)
vote_chamber, vote_number, vote_congress, vote_session_year = utils.split_vote_id(vote_id)
if vote_chamber == "h":
url = "http://clerk.house.gov/evs/%s/roll%03d.xml" % (vote_session_year, int(vote_number))
else:
session_num = int(vote_session_year) - utils.get_congress_first_year(int(vote_congress)) + 1
url = "http://www.senate.gov/legislative/LIS/roll_call_votes/vote%d%d/vote_%d_%d_%05d.xml" % (int(vote_congress), session_num, int(vote_congress), session_num, int(vote_number))
# fetch vote XML page
body = utils.download(
url,
"%s/votes/%s/%s%s/%s%s.xml" % (vote_congress, vote_session_year, vote_chamber, vote_number, vote_chamber, vote_number),
utils.merge(options, {'binary': True}),
)
if not body:
return {'saved': False, 'ok': False, 'reason': "failed to download"}
if options.get("download_only", False):
return {'saved': False, 'ok': True, 'reason': "requested download only"}
if "This vote was vacated" in body:
# Vacated votes: 2011-484, 2012-327, ...
# Remove file, since it may previously have existed with data.
for f in (output_for_vote(vote_id, "json"), output_for_vote(vote_id, "xml")):
if os.path.exists(f):
os.unlink(f)
return {'saved': False, 'ok': True, 'reason': "vote was vacated"}
dom = etree.fromstring(body)
vote = {
'vote_id': vote_id,
'chamber': vote_chamber,
'congress': int(vote_congress),
'session': vote_session_year,
'number': int(vote_number),
'updated_at': datetime.datetime.fromtimestamp(time.time()),
'source_url': url,
}
# do the heavy lifting
if vote_chamber == "h":
parse_house_vote(dom, vote)
elif vote_chamber == "s":
parse_senate_vote(dom, vote)
# output and return
output_vote(vote, options)
return {'ok': True, 'saved': True}
def create_task_for_meituan():
logger = utils.get_logger()
logger.info('start create task for meituan.')
logger = utils.get_logger()
logger.info('start create task from mysql.')
mysql_pool = PersistentDB(
MySQLdb,
host=common_settings.MYSQL_HOST,
user=common_settings.MYSQL_USER,
passwd=common_settings.MYSQL_PASSWD,
db=common_settings.MYSQL_DB,
port=common_settings.MYSQL_PORT,
charset='utf8'
)
conn = mysql_pool.connection()
cur = conn.cursor()
function_number = cur.execute(
'select * from function_entrence where source="ZHAO_PIN_GOU" '
'and valid=1 and thirdFunctionCode in '
'(262, 265, 261, 257, 256, 252, 253, 250, 254, 370, 372, 371, 369)')
functions = cur.fetchall()
logger.info('the number of functions is: %s' % (function_number))
if not function_number:
return
add_task_url = common_settings.TASK_URL + common_settings.CREATE_TASK_PATH
headers = {'Content-Type': 'application/x-www-form-urlencoded;charset=UTF-8', }
deadline = datetime.datetime.now() + datetime.timedelta(days=1)
deadline = int(time.mktime(deadline.timetuple())) * 1000
city_dict = {
u'石家庄': '7',
u'邢台': '11',
u'衡水': '17',
u'保定': '12',
u'沧州': '15',
u'扬州': '66',
}
for city in [u'石家庄', u'邢台', u'衡水', u'保定', u'沧州']:
for function in functions:
add_task_data = {
"callSystemID": "morgan-zhaopingou-resume-1",
"source": 'ZHAO_PIN_GOU',
"traceID": str(uuid.uuid1()),
# "executeParam": json.loads(i.strip()),
"executeParam": json.dumps(
{"fenleiName": function[4], "pFenLeiName": function[1], "positionName": function[7],
"hopeAdressStr": city_dict[city], "fId": int(function[5]), "pFId": int(function[2]),
"pId": int(function[8]), "id": int(function[11])}, ensure_ascii=False),
"taskType": "RESUME_FETCH",
"deadline": deadline
}
add_task_result = utils.download(url=add_task_url, is_json=True, headers=headers, method='post',
data=add_task_data)
def __init__(self, input_img):
# 下载文件
filename = utils.download(VGG_DOWNLOAD_LINK, VGG_FILENAME,
EXPECTED_BYTES)
# 加载文件
self.vgg_layers = scipy.io.loadmat(filename)["layers"]
self.input_img = input_img
# VGG在处理图像时候会将图片进行mean-center，所以我们首先要计算RGB三个channel上的mean
self.mean_pixels = np.array([123.68, 116.779, 103.939]).reshape(
(1, 1, 1, 3))
def run(options):
# Download the TSV file.
cache_zip_path = "adler-wilkerson-bills.zip"
utils.download(
"http://congressionalbills.org/billfiles/bills80-92.zip",
cache_zip_path,
utils.merge(options, {
'binary': True,
'needs_content': False
}))
# Unzip in memory and process the records.
zfile = zipfile.ZipFile(utils.cache_dir() + "/" + cache_zip_path)
csvreader = csv.DictReader(zfile.open("bills80-92.txt"), delimiter="\t")
for record in csvreader:
rec = process_bill(record)
import pprint
pprint.pprint(rec)
def get_feature(self, feature):
"""The unified API for getting specified features"""
feature_path = os.path.join(self.location, feature + '.pkl')
feature_present = os.path.exists(feature_path)
if not feature_present:
downloaded = download(self.dataset, feature, self.location)
if not downloaded:
return None
# TODO: check MD5 values and etc. to ensure the downloaded dataset's intact
with open(feature_path, 'rb') as fp:
try:
feature_values = load(fp)
except:
print "The previously downloaded dataset is compromised, downloading a new copy..."
dowloaded = download(self.dataset, feature, self.location)
if not downloaded:
return None
return feature_values
def integracion(href_comp, name, cuerpo, options):
url = base_url + '/GxEmule/' + href_comp
body = utils.download(url, 'comisiones/' + name + '.html',
options.get('force', False), options)
doc = lxml.html.document_fromstring(body)
rows = doc.xpath("//div[contains(@style,'border:0px solid #006699')]/div"
)[0].xpath("//div[contains(@style,'width:750px')]/div")
divs = rows[0].cssselect('div')
result = {}
pre_res = []
lineas = 1
top = 0
start = False
for div in divs:
if (lineas == top):
result[cat] = pre_res
break
elif div.text_content().strip() == 'Miembros':
cat = 'miembros'
start = True
elif div.text_content().strip() == u'Secretaría':
# agregamos los miembros
cat = 'miembros'
result[cat] = pre_res
pre_res = []
cat = 'secretaria'
elif div.text_content().strip() == 'Reuniones':
# agregamos la secretaria
cat = 'secretaria'
result[cat] = pre_res
cat = 'reuniones'
pre_res = []
top = lineas + 2
elif start:
#store data
data = {
'text': div.text_content().strip(),
'tipo': cat,
'cuerpo': cuerpo,
}
pre_res.append(data)
lineas += 1
email_exists = doc.xpath("//a[starts-with(@href, 'mailto')]/@href")
if email_exists:
email = email_exists[0].split(':', 1)[1]
else:
email = 'none'
data = {
'correo': email,
'cuerpo': cuerpo,
}
result['email'] = data
return result
def create_task_from_mysql(use_keyword='0'):
logger = utils.get_logger()
logger.info('start create task from mysql.')
mysql_pool = PersistentDB(
MySQLdb,
host=common_settings.MYSQL_HOST,
user=common_settings.MYSQL_USER,
passwd=common_settings.MYSQL_PASSWD,
db=common_settings.MYSQL_DOWNLOAD_DB,
port=common_settings.MYSQL_PORT,
charset='utf8'
)
conn = mysql_pool.connection()
cur = conn.cursor()
city_number = cur.execute('select * from city_entrence where source="REN_CAI" and valid=1')
cities = cur.fetchall()
function_number = cur.execute('select * from function_entrence where source="REN_CAI" and valid=1')
functions = cur.fetchall()
logger.info('the number of city and functions is:%s, %s' % (city_number, function_number))
if not city_number or not function_number:
return
add_task_url = common_settings.TASK_URL +common_settings.CREATE_TASK_PATH
headers = {'Content-Type': 'application/x-www-form-urlencoded;charset=UTF-8',}
today = datetime.datetime.today()
next_datetime = datetime.datetime(today.year, today.month, today.day, 0, 0, 0) + datetime.timedelta(days=1)
deadline = int(time.mktime(time.strptime(next_datetime.strftime('%Y-%m-%d %H:%M:%S'), '%Y-%m-%d %H:%M:%S'))) * 1000
city_result = []
# use_keyword = '0' if datetime.datetime.now().hour < 12 else '1'
if cities:
city_dict = {i[1]: i for i in cities}
for i in city_order:
if i in city_dict:
city_result.append(city_dict[i])
city_dict.pop(i)
city_result = city_result + city_dict.values()
for city in city_result:
for function in functions:
add_task_data = {
"callSystemID": 'morgan-rencaia-resume-1',
"source": 'REN_CAI',
"traceID": str(uuid.uuid1()),
# "executeParam": json.loads(i.strip()),
# "executeParam": json.dumps({'residence_ids': city[6], 'residence_name': city[1],
"executeParam": json.dumps({ 'function_ids3': function[8], 'function_id_name': function[7], 'residence_ids': city[6], 'residence_name': city[1],
'use_keyword': use_keyword}, ensure_ascii=False),
"taskType": "RESUME_FETCH",
"deadline": deadline,
}
add_task_result = utils.download(url=add_task_url, is_json=True, headers=headers, method='post', data=add_task_data)
logger.info('done.')