def crawl_street_list():
# page_url = "http://www.stats.gov.cn/tjsj/tjbz/tjyqhdmhcxhfdm/2016/52/03/520324.html"
# response = request_util(page_url,'gb18030');
# print response
# return
global district_code_list
district_code_list = query_data(3)
try:
page_urls = generate_page_url()
for k,page_item in enumerate(page_urls):
page_url = page_item['page_url']
print page_url
if (page_url in special_url_conn):
for item in special_url:
response = request_util(item['page_url'],item['encoding']);
else:
response = request_util(page_url,'gbk');
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',class_="towntable").find_all("tr",class_="towntr")
for k,item in enumerate(info_list):
if item.contents[0].find('a',{'href':True}):
#street_url = street_url_prefix + item.contents[0].a.attrs['href'].encode('utf8')
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code,parent_name = get_district_code(code)
level = 4
print code, name, parent_code, parent_name
insert_data(code, name, parent_code, parent_name, level)
except Exception, e:
print traceback.format_exc()
def crawl_community_list():
global street_code_list
street_code_list = query_data(4)
try:
page_urls = generate_page_url()
for k,page_item in enumerate(page_urls):
page_url = page_item['page_url']
print page_url
if (page_url in special_url_conn):
for item in special_url:
response = request_util(item['page_url'],item['encoding']);
else:
response = request_util(page_url,'gbk');
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',class_="villagetable").find_all("tr",class_="villagetr")
for k,item in enumerate(info_list):
#street_url = street_url_prefix + item.contents[0].a.attrs['href'].encode('utf8')
code = item.contents[0].get_text().encode('utf8')
name = item.contents[2].get_text().encode('utf8')
parent_code,parent_name = get_street_code(code)
level = 5
print code, name, parent_code, parent_name
insert_data(code, name, parent_code, parent_name, level)
except Exception, e:
print traceback.format_exc()
def crawl_page(url):
try:
response = request_util(url)
soup = BeautifulSoup(response, "html.parser")
info_list = soup.find('ul', class_="subject-list").find_all('li')
for item in info_list:
print item.find(
'div',
class_="info").find("h2").find("a").get_text().strip().replace(
'\n', '').replace(' ', '').encode('utf8')
print item.find("div", class_="star").find(
"span", class_="rating_nums").get_text().strip()
authors = item.find("div",
class_="pub").get_text().strip().split("/")
new_authors = []
for item in authors:
new_authors.append(item.strip())
for i in range(-3, 0):
new_authors.pop(i)
print new_authors
#print '/'.join(new_authors)
except Exception, e:
print traceback.format_exc()
def crawl_tags():
response = request_util(url)
try:
print response
except Exception, e:
print traceback.format_exc()
def crawl_province_list():
response = request_util(province_url)
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('div', class_="TRS_PreAppend").find_all(
"p", class_="MsoNormal")
for k, item in enumerate(info_list):
code_item = {}
code = item.find("span", attrs={'lang': 'EN-US'})
code_item['code'] = code.get_text().strip()
content_list = item.find_all("span")
code_item['name'] = content_list[len(content_list) -
1].get_text().strip()
code_list.append(code_item)
for k, item in enumerate(code_list):
if item['code'].find("0000") > 0:
code = item['code'].encode('utf8') + "000000"
name = item['name'].encode('utf8')
parent_code = 0
level = 1
p_code_item = {}
p_code_item['code'] = code
p_code_item['name'] = name
province_code_list.append(p_code_item)
#insert_data(code, name, parent_code, level)
except Exception, e:
print traceback.format_exc()
def crawl_district_list():
global city_code_list
city_code_list = query_data(2)
try:
page_urls = generate_page_url()
for k, page_url in enumerate(page_urls):
print page_url
response = request_util(page_url, 'gbk')
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table', class_="countytable").find_all(
"tr", class_="countytr")
for k, item in enumerate(info_list):
if item.contents[0].find('a', {'href': True}):
#street_url = common_url_prefix + url_code + item.contents[0].a.attrs['href'].encode('utf8')
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code, parent_name = get_city_code(code)
level = 3
print code, name, parent_code, parent_name
insert_data(code, name, parent_code, parent_name, level)
#crawl_street_detail(street_url)
except Exception, e:
print traceback.format_exc()
def crawl_district_detail(url, url_code):
response = request_util(url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',
class_="countytable").find_all("tr",
class_="countytr")
for k, item in enumerate(info_list):
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
d_code_item = {}
d_code_item['code'] = code
d_code_item['name'] = name
district_code_list.append(d_code_item)
for k, item in enumerate(info_list):
if item.contents[0].find('a', {'href': True}):
street_url = common_url_prefix + url_code + item.contents[
0].a.attrs['href'].encode('utf8')
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code, parent_name = get_city_code(code)
level = 3
#print code, name, parent_code, parent_name
insert_data(code, name, parent_code, parent_name, level)
crawl_street_detail(street_url)
except Exception, e:
print traceback.format_exc()
def crawl_tags():
response = request_util(book_tags_url)
try:
soup = BeautifulSoup(response, "html.parser")
info_list = soup.find_all('table', class_="tagCol")
for item in info_list:
content_list = item.find_all("a")
for content in content_list:
page_url_prefix = book_url + content.attrs['href'].encode(
'utf8')
tag = page_url_prefix.split("tag/", 1)[1]
crawl_book_list(page_url_prefix, tag)
except Exception, e:
print traceback.format_exc()
def crawl_city_detail(url):
response = request_util(url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',
class_="citytable").find_all("tr",
class_="citytr")
for k, item in enumerate(info_list):
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code, parent_name = get_province_code(code)
level = 2
insert_data(code, name, parent_code, parent_name, level)
except Exception, e:
print traceback.format_exc()
def crawl_city_list():
response = request_util(list_url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table', class_="provincetable").find_all(
"tr", class_="provincetr")
for k, item in enumerate(info_list):
content_list = item.find_all("a")
for c_k, c_item in enumerate(content_list):
d_url = common_url_prefix + c_item.attrs['href'].encode('utf8')
print d_url
crawl_city_detail(d_url)
if (c_k > 1):
break
break
except Exception, e:
print traceback.format_exc()
def crawl_street_detail(url):
response = request_util(url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',
class_="towntable").find_all("tr",
class_="towntr")
for k, item in enumerate(info_list):
if item.contents[0].find('a', {'href': True}):
#street_url = street_url_prefix + item.contents[0].a.attrs['href'].encode('utf8')
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code, parent_name = get_city_code(code)
level = 4
print code, name, parent_code, parent_name
#insert_data(code, name, parent_code, parent_name, level)
except Exception, e:
print traceback.format_exc()
def hosts_info_instance(url, timestamp=time.time(), timeout='2m', **kwargs):
'''GET api/v1/hosts/<instance_name>'''
results = {}
node_info = read_info()
url = url + '/api/v1/query'
rlt_values = {}
for info in node_info:
query = info.strip('\n')
param = {
'query': query + '{' + dic_to_str(kwargs) + '}',
'timestamp': timestamp,
'timeout': timeout
}
data = request_util(url, param)
for i in range(len(data)):
rlt_values.setdefault(data[i]['metric']['instance'], data[i]['value'][1])
results[query] = rlt_values
logging.debug('host_info_instance results are : %s', results)
return results
def hosts_info(url, timestamp=time.time(), timeout='2m'):
results = {}
node_info = read_info()
url = url + '/api/v1/query'
rlt_values = {}
for info in node_info:
query = info.strip('\n')
param = {
'query': query,
'timestamp': timestamp,
'timeout': timeout
}
data = request_util(url, param)
for i in range(len(data)):
rlt_values.setdefault(data[i]['metric']['instance'],data[i]['value'][1])
results[query] = rlt_values
logging.info('results is : %s', results)
return results
def crawl_city_list():
global province_code_list
province_code_list = query_data(1)
response = request_util(city_url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table', class_="provincetable").find_all(
"tr", class_="provincetr")
for k, item in enumerate(info_list):
content_list = item.find_all("a")
for c_k, c_item in enumerate(content_list):
d_url = c_item.attrs['href'].encode('utf8')
url_city_code = c_item.attrs['href'].encode('utf8').split(
".")[0]
d_city_url = common_url_prefix + url_city_code + ".html"
print d_city_url
crawl_city_detail(d_city_url)
# if(c_k > 1):
# break
except Exception, e:
print traceback.format_exc()
def single_host_cpu(url, instance, timestamp=time.time(), timeout='2m'):
'''
:param url: The url we want to query exactly.
:param instance: a string format 'ip:port'
:param timestamp: Unix timestamp, default to time.time()
:param timeout: Query time out, default to 2 minutes
:return: A dict contains the cpus info in the instance node.
'''
url = url + '/api/v1/query'
param = {
"query": "node_cpu{{ instance='{0}' }}".format(instance),
"timestamp": timestamp,
"timeout": timeout
}
data = request_util(url, param)
logging.info("getting cpu cores...")
cores = cpu_cores(url)
logging.info("The Cores of CPU are: %s", cores)
cpu_results = {
"instance": instance,
"cpu": {}
}
logging.info("Result of request data is %s", len(data))
for i in range(cores):
values = {}
for index in range(len(data)):
# 遍历整个请求结果，按照 cpu 进行分类
# 判断属于哪个 cpu, 根据 mode 类型不同，将不同的 mode 及其 value 打包成一个 dict，结果传入 values
if data[index]['metric']['cpu'] == 'cpu{0}'.format(i):
values.setdefault(data[index]['metric']['mode'], data[index]['value'][1])
# 不同的 cpu 对应一个 values 的 dict
cpu_results['cpu']['cpu{0}'.format(i)] = values
return cpu_results
def crawl_city_detail(url):
response = request_util(url, 'gb2312')
try:
soup = BeautifulSoup(response, "lxml")
info_list = soup.find('table',
class_="citytable").find_all("tr",
class_="citytr")
for k, item in enumerate(info_list):
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
c_code_item = {}
c_code_item['code'] = code
c_code_item['name'] = name
city_code_list.append(c_code_item)
for k, item in enumerate(info_list):
# print common_url_prefix + item.contents[0].a.attrs['href'].encode('utf8')
# print item.contents[0].a.get_text().encode('utf8')
# print item.contents[1].a.get_text().encode('utf8')
code = item.contents[0].a.get_text().encode('utf8')
name = item.contents[1].a.get_text().encode('utf8')
parent_code, parent_name = get_province_code(code)
level = 2
insert_data(code, name, parent_code, parent_name, level)
district_url = common_url_prefix + item.contents[0].a.attrs[
'href'].encode('utf8')
#print district_url
crawl_district_detail(district_url)
except Exception, e:
print traceback.format_exc()
def single_host_info(url, instance, timestamp=time.time(), timeout='2m'):
'''
:param url: The url we want to query exactly.
:param instance: a string format 'ip:port'
:param timestamp: Unix timestamp, default to time.time()
:param timeout: Query time out, default to 2 minutes
:return: A dict contains the cpus info in the instance node.
'''
url = url + '/api/v1/query'
data_results = {
"href": "http://10.110.13.216:9200/api/v1/hosts/{0}?fields=metrics".format(instance),
"instance": instance,
"boot": {},
"cpu": {},
"filesystem": {},
"disk": {},
"load": {},
"memory": {},
"network": {},
"procs": {}
}
single_host = read_host_info()
single_output = ["disk", "load", "memory", "procs"]
multi_output = ["cpu", "filesystem", "network"]
for info in single_host:
logging.info('Reading %s successfully.', info)
query = info.strip('\n')
param = {
'query': query + "{{ instance='{0}' }}".format(instance),
'timestamp': timestamp,
'timeout': timeout
}
data = request_util(url, param)
for key in single_output:
# key 在 single_output 中，其输出是 key:{} 的方式
if key in info:
data_results[key].setdefault(data[0]['metric']['__name__'], data[0]['value'][1])
if 'node_cpu' in info:
# 判断有多少个网卡，按照 device 划分，因为 data 中的 device 有可能重复，所以将 device 放入集合去重
cpu_elements = set()
for index in range(len(data)):
cpu_elements.add(data[index]['metric']['cpu'])
#
for element in cpu_elements:
data_results['cpu'].setdefault(element, {})
for index in range(len(data)):
# 遍历整个请求结果，按照 network 的 device 进行分类
# 判断属于哪个 device, 将不同的 device 及其 value 打包成一个 dict，结果传入 data_results['network'][element]
if data[index]['metric']['cpu'] == element:
data_results['cpu'][element].setdefault(data[index]['metric']['mode'],
data[index]['value'][1])
elif 'node_network' in info:
# 判断有多少个网卡，按照 device 划分，因为 data 中的 device 有可能重复，所以将 device 放入集合去重
network_elements = set()
for index in range(len(data)):
network_elements.add(data[index]['metric']['device'])
#
for element in network_elements:
data_results['network'].setdefault(element, {})
for index in range(len(data)):
# 遍历整个请求结果，按照 network 的 device 进行分类
# 判断属于哪个 device, 将不同的 device 及其 value 打包成一个 dict，结果传入 data_results['network'][element]
if data[index]['metric']['device'] == element:
data_results['network'][element].setdefault(data[index]['metric']['__name__'],
data[index]['value'][1])
elif 'node_filesystem' in info:
pprint(data)
# data_results['filesystem'].setdefault(data[0]['metric']['__name__'], data[0]['value'][1])
# 判断有多少个文件系统，按照 device 划分，因为 data 中的 device 有可能重复，所以将 device 放入集合去重
fs_elements = set()
for index in range(len(data)):
fs_elements.add(data[index]['metric']['device'])
#
for element in fs_elements:
data_results['filesystem'].setdefault(element, {})
for index in range(len(data)):
# 遍历整个请求结果，按照 filesystem 的 device 进行分类
# 判断属于哪个 device, 将不同的 device 及其 value 打包成一个 dict，结果传入 data_result['filesystem'][element]
if data[index]['metric']['device'] == element:
data_results['filesystem'][element].setdefault(data[index]['metric']['__name__'],
data[index]['value'][1])
elif 'node_boot' in info:
data_results['boot'].setdefault(data[0]['metric']['__name__'],
time.time() - float(data[0]['value'][1]))
else:
pass
# logging.info("Result of request data is %s", data)
return data_results
