def create_http_session(hostname):
sess = requests.Session()
cache = FileCache('.webcache')
basic_adapter = CacheControlAdapter(cache=cache)
forever_adapter = CacheControlAdapter(heuristic=CacheForeverHeuristic(),
cache=cache)
sess.mount('http://', basic_adapter)
sess.mount('https://', basic_adapter)
sess.mount('http://www.' + hostname, forever_adapter)
sess.mount('https://www.' + hostname, forever_adapter)
return sess
import requests
import time
from selenium import webdriver
from requests_file import FileAdapter
from ricecooker.utils.caching import CacheForeverHeuristic, FileCache, CacheControlAdapter, InvalidatingCacheControlAdapter
DOWNLOAD_SESSION = requests.Session(
) # Session for downloading content from urls
DOWNLOAD_SESSION.mount('https://',
requests.adapters.HTTPAdapter(max_retries=3))
DOWNLOAD_SESSION.mount('file://', FileAdapter())
cache = FileCache('.webcache')
forever_adapter = CacheControlAdapter(heuristic=CacheForeverHeuristic(),
cache=cache)
DOWNLOAD_SESSION.mount('http://', forever_adapter)
DOWNLOAD_SESSION.mount('https://', forever_adapter)
def read(path, loadjs=False, session=None, driver=None):
""" read: Reads from source and returns contents
Args:
path: (str) url or local path to download
loadjs: (boolean) indicates whether to load js (optional)
session: (requests.Session) session to use to download (optional)
driver: (selenium.webdriver) webdriver to use to download (optional)
Returns: str content from file or page
"""
session = session or DOWNLOAD_SESSION
try:
if loadjs: # Wait until js loads then return contents
from urllib.parse import urlparse, urljoin
import uuid
from bs4 import BeautifulSoup
from selenium import webdriver
import selenium.webdriver.support.ui as selenium_ui
from requests_file import FileAdapter
from ricecooker.config import LOGGER, PHANTOMJS_PATH, STRICT
from ricecooker.utils.html import download_file
from ricecooker.utils.caching import CacheForeverHeuristic, FileCache, CacheControlAdapter, InvalidatingCacheControlAdapter
DOWNLOAD_SESSION = requests.Session() # Session for downloading content from urls
DOWNLOAD_SESSION.mount('https://', requests.adapters.HTTPAdapter(max_retries=3))
DOWNLOAD_SESSION.mount('file://', FileAdapter())
# use_dir_lock works with all filesystems and OSes
cache = FileCache('.webcache', use_dir_lock=True)
forever_adapter= CacheControlAdapter(heuristic=CacheForeverHeuristic(), cache=cache)
DOWNLOAD_SESSION.mount('http://', forever_adapter)
DOWNLOAD_SESSION.mount('https://', forever_adapter)
DEFAULT_HEADERS = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:20.0) Gecko/20100101 Firefox/20.0",
"Accept-Encoding": "gzip, deflate",
"Connection": "keep-alive"
}
USE_PYPPETEER = False
try:
import time
import requests
from ricecooker.utils.caching import (
CacheControlAdapter,
CacheForeverHeuristic,
FileCache,
InvalidatingCacheControlAdapter,
)
sess = requests.Session()
cache = FileCache(".webcache")
forever_adapter = CacheControlAdapter(heuristic=CacheForeverHeuristic(),
cache=cache)
invalidate_adapter = InvalidatingCacheControlAdapter(cache=cache)
sess.mount("http://www.khanacademy.org/api/v2/topics/topictree",
forever_adapter)
sess.mount("http://www.khanacademy.org/api/v1/assessment_items/",
forever_adapter)
sess.mount("https://api.crowdin.com", forever_adapter)
headers = {
"User-Agent":
"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:20.0) Gecko/20100101 Firefox/20.0",
"Accept-Encoding": "gzip, deflate",
"Connection": "keep-alive",
}
class Dummy404ResponseObject(requests.Response):
class BasicCrawler(object):
"""
Basic web crawler that uses the breadth first search to visit all pages of a
website starting from the `MAIN_SOURCE_DOMAIN` and browing pages recursively.
Every page visited is aware of the `parent` (referring page), which makes it
possible to consturct a web resource tree that can later be used to construct
a ricecooker json tree, and ultimately a Kolibri channel.
"""
BASE_IGNORE_URLS = [
'javascript:void(0)',
'#',
re.compile('^mailto:.*'),
re.compile('^javascript:.*'),
]
MEDIA_FILE_FORMATS = ['pdf', 'zip', 'rar', 'mp4', 'mp3', 'm4a', 'ogg']
MEDIA_CONTENT_TYPES = [
'application/pdf',
'application/zip',
'application/x-zip-compressed',
'application/octet-stream',
'video/mpeg',
'video/mp4',
'audio/vorbis',
'audio/mp3',
'audio/mpeg',
'image/png',
'image/jpeg',
'image/gif',
'application/msword',
'application/vnd.ms-excel',
'application/vnd.ms-powerpoint',
'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
'application/vnd.openxmlformats-officedocument.presentationml.presentation',
]
GLOBAL_NAV_THRESHOLD = 0.7
CRAWLING_STAGE_OUTPUT = 'chefdata/trees/web_resource_tree.json'
# Subclass attributes
MAIN_SOURCE_DOMAIN = None # should be defined by subclass
SOURCE_DOMAINS = [] # should be defined by subclass
START_PAGE = None # should be defined by subclass
START_PAGE_CONTEXT = {} # should be defined by subclass
IGNORE_URLS = [] # should be defined by subclass
rules = [] # contains tuples (url_RE_pattern, handler_function)
kind_handlers = {
} # mapping from web resource kinds (user defined) and handlers
# e.g. {'LesssonWebResource': self.on_lesson, ...}
# CACHE LOGIC
SESSION = requests.Session()
CACHE = FileCache('.webcache')
# queue used keep track of what pages we should crawl next
queue = None # instance of queue.Queue created insite `crawrl` method
# keep track of how many times a given URL is seen during crawl
# first time a URL is seen will be automatically followed, but
# subsequent occureces will record link existence but not recurse
global_urls_seen_count = defaultdict(
int) # DB of all urls that have ever been seen
# { 'http://site.../fullpath?a=b#c': 3, ... }
urls_visited = {
} # 'http://site.../fullpath?a=b#c' --> cached version of html content
def __init__(self, main_source_domain=None, start_page=None):
if main_source_domain is None and start_page is None:
raise ValueError(
'Need to specify main_source_domain or start_page.')
if main_source_domain:
self.MAIN_SOURCE_DOMAIN = main_source_domain.rstrip('/')
self.START_PAGE = self.MAIN_SOURCE_DOMAIN
if self.MAIN_SOURCE_DOMAIN is None:
self.MAIN_SOURCE_DOMAIN = urlparse(start_page).netloc
if self.MAIN_SOURCE_DOMAIN not in self.SOURCE_DOMAINS:
self.SOURCE_DOMAINS.append(self.MAIN_SOURCE_DOMAIN)
if start_page:
self.START_PAGE = start_page
# keep track of broken links
self.broken_links = []
forever_adapter = CacheControlAdapter(
heuristic=CacheForeverHeuristic(), cache=self.CACHE)
for source_domain in self.SOURCE_DOMAINS:
self.SESSION.mount(
source_domain, forever_adapter
) # TODO: change to less aggressive in final version
# GENERIC URL HELPERS
############################################################################
def cleanup_url(self, url):
"""
Removes URL fragment that falsely make URLs look diffent.
Subclasses can overload this method to perform other URL-normalizations.
"""
url = urldefrag(url)[0]
return url
def url_to_path(self, url):
"""
Remove any of the SOURCE_DOMAINS from url if it starts with one of them.
"""
for source_domain in self.SOURCE_DOMAINS:
if url.startswith(source_domain):
path = url.replace(source_domain, '')
return path
return url
def should_ignore_url(self, url):
"""
Returns True if `url` matches any of the IGNORE_URL criteria.
"""
url = self.cleanup_url(url)
# 1. run through ignore lists
combined_ignore_patterns = self.BASE_IGNORE_URLS.copy()
combined_ignore_patterns.extend(self.IGNORE_URLS)
for pattern in combined_ignore_patterns:
if isinstance(pattern, str):
if url == pattern:
return True
elif isinstance(pattern, re._pattern_type):
if pattern.match(url):
return True
elif callable(pattern):
if pattern(url):
return True
else:
raise ValueError(
'Unrecognized pattern in IGNORE_URLS. Use strings, REs, or callables.'
)
# 2. check if url is on one of the specified source domains
found = False
for source_domain in self.SOURCE_DOMAINS:
if url.startswith(source_domain):
found = True
return not found # should ignore if not found in SOURCE_DOMAINS list
def is_media_file(self, url):
"""
Makes a HEAD request for `url` and reuturns (vertict, head_response),
where verdict is True if `url` points to a media file (.pdf, .docx, etc.)
"""
head_response = self.make_request(url, method='HEAD')
if head_response:
content_type = head_response.headers.get('content-type', None)
if not content_type:
LOGGER.warning(
'HEAD response does not have `content-type` header. url = '
+ url)
return (False, None)
if content_type in self.MEDIA_CONTENT_TYPES:
return (True, head_response)
else:
return (False, head_response)
else:
LOGGER.warning('HEAD request failed for url ' + url)
# Fallback strategy: try to guess if media link based on extension
for media_ext in self.MEDIA_FILE_FORMATS:
if url.endswith('.' + media_ext):
return (True, None)
# if all else fails, assume False
return (False, None)
# CRAWLING TASK QUEUE API
############################################################################
#
# queue tasks are tuples (url, context) where
# - url (str): which page should be visited
# - context (dict): generic container for data associated with url, notably
# - `context['parent']` is the web resources dict of the referring page
# - `context['kind']` can be used to assign a custom handler, e.g., on_course
def queue_empty(self):
return self.queue.empty()
def get_url_and_context(self):
return self.queue.get()
def enqueue_url_and_context(self, url, context, force=False):
# TODO(ivan): clarify crawl-only-once logic and use of force flag in docs
url = self.cleanup_url(url)
if url not in self.global_urls_seen_count.keys() or force:
# LOGGER.debug('adding to queue: url=' + url)
self.queue.put((url, context))
else:
pass
# LOGGER.debug('Not going to crawl url ' + url + 'beacause previously seen.')
self.global_urls_seen_count[url] += 1
# BASIC PAGE HANDLER
############################################################################
def on_page(self, url, page, context):
"""
Basic handler that appends current page to parent's children list and
adds all links on current page to the crawling queue.
"""
LOGGER.debug('in on_page ' + url)
page_dict = dict(
kind='PageWebResource',
url=url,
children=[],
)
page_dict.update(context)
# attach this page as another child in parent page
context['parent']['children'].append(page_dict)
links = page.find_all('a')
for i, link in enumerate(links):
if link.has_attr('href'):
link_url = urljoin(url, link['href'])
if self.should_ignore_url(link_url):
pass
# Uncomment three lines below for debugging to record ignored links
# ignored_rsrc_dict = self.create_ignored_url_dict(link_url)
# ignored_rsrc_dict['parent'] = page_dict
# page_dict['children'].append(page_dict)
else:
self.enqueue_url_and_context(link_url,
{'parent': page_dict})
else:
pass
# LOGGER.debug('a with no nohref found ' + str(link))
# MAIN LOOP
############################################################################
def crawl(self, limit=1000, save_web_resource_tree=True, devmode=True):
# initialize or reset crawler state
self.queue = queue.Queue()
self.global_urls_seen_count = defaultdict(int)
self.urls_visited = {}
# add the start page to the crawling queue
channel_dict = dict(
url='This is a temp. outer container for the crawler channel tree.'
'Its unique child node is the web root.',
kind='WEB_RESOURCE_TREE_CONTAINER',
children=[],
)
start_url = self.START_PAGE
root_context = {'parent': channel_dict}
if self.START_PAGE_CONTEXT:
root_context.update(self.START_PAGE_CONTEXT)
self.enqueue_url_and_context(start_url, root_context)
counter = 0
while not self.queue_empty():
# 1. GET next url to crawl an its context dict
original_url, context = self.get_url_and_context()
# 2. Media files (PDF/ZIP/MP3) and broken link check
verdict, head_response = self.is_media_file(original_url)
if verdict == True:
media_rsrc_dict = self.create_media_url_dict(
original_url, head_response)
media_rsrc_dict['parent'] = context['parent']
context['parent']['children'].append(media_rsrc_dict)
continue
# 3. Let's go GET that url
url, page = self.download_page(original_url)
if page is None:
LOGGER.warning('GET ' + original_url + ' did not return page.')
broken_link_dict = self.create_broken_link_url_dict(
original_url)
broken_link_dict['parent'] = context['parent']
context['parent']['children'].append(broken_link_dict)
continue
# cache BeatifulSoup parsed html in memory (because RAM is cheap!)
self.urls_visited[original_url] = page
# annotate context to keep track of URL befor redirects
if url != original_url:
context['original_url'] = original_url
########## HANDLER DISPATCH LOGIC ################################
handled = False
# A. kind-handler based dispatch logic
if 'kind' in context:
kind = context['kind']
if kind in self.kind_handlers:
handler = self.kind_handlers[kind]
if callable(handler):
handler(url, page, context)
handled = True
elif isinstance(handler, str) and hasattr(self, handler):
handler_fn = getattr(self, handler)
handler_fn(url, page, context)
handled = True
else:
raise ValueError(
'Unrecognized handler type', handler,
'Should be method or name of method.')
else:
LOGGER.info('No handler registered for kind ' + str(kind) +
' so falling back to on_page handler.')
# B. URL rules handler dispatlogic
path = url.replace(
self.MAIN_SOURCE_DOMAIN, ''
) # TODO: redo with urls instead of paths <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
for pat, handler_fn in self.rules:
if pat.match(path):
handler_fn(url, page, context['parent'])
handled = True
# if none of the above caught it, we use the default on_page handler
if not handled:
self.on_page(url, page, context)
####################################################################
# limit crawling to 1000 pages unless otherwise told (failsafe default)
counter += 1
if limit and counter > limit:
break
# remove parent links before output tree
self.cleanup_web_resource_tree(channel_dict)
# hoist entire tree one level up to get rid of the tmep. outer container
channel_dict = channel_dict['children'][0]
# Save output
if save_web_resource_tree:
self.write_web_resource_tree_json(channel_dict)
# Display debug info
if devmode:
self.print_crawler_devmode(channel_dict)
return channel_dict
def download_page(self, url, *args, **kwargs):
"""
Download `url` (following redirects) and soupify response contents.
Returns (final_url, page) where final_url is URL afrer following redirects.
"""
response = self.make_request(url, *args, **kwargs)
if not response:
return (None, None)
html = response.text
page = BeautifulSoup(html, "html.parser")
LOGGER.debug('Downloaded page ' + str(url) + ' title:' +
self.get_title(page))
return (response.url, page)
def make_request(self, url, timeout=60, *args, method='GET', **kwargs):
"""
Failure-resistant HTTP GET/HEAD request helper method.
"""
retry_count = 0
max_retries = 5
while True:
try:
response = self.SESSION.request(method,
url,
*args,
timeout=timeout,
**kwargs)
break
except (requests.exceptions.ConnectionError,
requests.exceptions.ReadTimeout) as e:
retry_count += 1
LOGGER.warning(
"Connection error ('{msg}'); about to perform retry {count} of {trymax}."
.format(msg=str(e), count=retry_count, trymax=max_retries))
time.sleep(retry_count * 1)
if retry_count >= max_retries:
LOGGER.error("FAILED TO RETRIEVE:" + str(url))
return None
if response.status_code != 200:
LOGGER.error("ERROR " + str(response.status_code) +
' when getting url=' + url)
return None
return response
# DEFAULT ACTIONS FOR MEDIA FILES AND BROKEN LINKS
############################################################################
def create_media_url_dict(self, original_url, head_response):
"""
Create metadata dict for media URL `original_url` using `head_response`.
"""
original_url_clean = self.cleanup_url(original_url) # before redirects
media_rsrc_dict = dict(
kind='MediaWebResource',
url=original_url_clean,
children=[],
)
if head_response:
url = self.cleanup_url(
head_response.url) # URL after possible redirect
media_rsrc_dict['url'] = url
if url != original_url:
media_rsrc_dict['original_url'] = original_url
#
content_type = head_response.headers.get('content-type', None)
if content_type:
media_rsrc_dict['content-type'] = content_type
# TODO(ivan): resolve content-type to contenty type label using le-utils lookup
#
content_disposition = head_response.headers.get(
'content-disposition', None)
if content_disposition:
media_rsrc_dict['content-disposition'] = content_disposition
#
content_length = head_response.headers.get('content-length', None)
if content_length:
media_rsrc_dict['content-length'] = content_length
#
return media_rsrc_dict
def create_broken_link_url_dict(self, url):
"""
Create a metadata dict for the broken link `url`.
"""
broken_link_dict = dict(
kind='BrokenLink',
url=url,
children=[],
)
self.broken_links.append(url)
return broken_link_dict
def create_ignored_url_dict(self, url):
"""
Create metadata link for a URL that matches one of self.IGNORE_URLS.
"""
ignored_url_dict = dict(
kind='IgnoredUrl',
url=url,
children=[],
)
return ignored_url_dict
# WEB RESOURCE INFO UTILS (CRAWLER DEVMODE)
############################################################################
def print_crawler_devmode(self, channel_tree):
"""
Craweler devmode info useful during interactive development of the cralwer.
"""
print('\n\n\n')
print('#' * 80)
print('# CRAWLER RECOMMENDATIONS BASED ON URLS ENCOUNTERED:')
print('#' * 80)
print(
'\n1. These URLs are very common and look like global navigation links:'
)
global_nav_candidates = self.infer_gloabal_nav(channel_tree)
for c in global_nav_candidates['children']:
print(' - ', c['url'])
print(
'\n2. These are common path fragments found in URLs paths, so could correspond to site struture:'
)
fragments_tuples = self.infer_tree_structure(channel_tree)
for fpath, fcount in fragments_tuples:
print(' - ', str(fcount), 'urls on site start with ', '/' + fpath)
if len(self.broken_links) > 0:
print(
'\n3. These are broken links --- you might want to add them to IGNORE_URLS'
)
print(self.broken_links)
print('\n')
print('#' * 80)
print('\n\n')
def infer_tree_structure(self, tree_root, show_top=10):
"""
Walk web resource tree and look for patterns in urls.
Print the top 10 occurence of subpaths that are common to multiple URLs.
E.g. if we see a lot of URLs like /pat/smth1 /pat/smth2 /pat/smth3, we'll
identify `/pat` as a candidate for site structure: Returns ['/pat', ...]
"""
# Get URLs
unique_urls = set()
def recusive_visit_extract_urls(subtree):
url = subtree['url']
if url not in unique_urls:
unique_urls.add(url)
for child in subtree['children']:
recusive_visit_extract_urls(child)
recusive_visit_extract_urls(tree_root)
# Build path trie
subpath_trie = {}
def _add_parts_here(path_parts, here):
if not path_parts:
return
else:
part = path_parts.pop(0)
if part not in here.keys():
here[part] = {}
_add_parts_here(path_parts, here[part])
else:
_add_parts_here(path_parts, here[part])
for url in unique_urls:
path = self.url_to_path(url)
path = path.split('?')[0] # rm query string
path_parts = path.split('/')[1:]
_add_parts_here(path_parts, subpath_trie)
# annotate with counts
def _recusive_count_children(here):
if not here.keys():
return 1
count = 0
for subpath in here.keys():
count += _recusive_count_children(here[subpath])
return count
path_count_tuples = []
for path, subtrie in subpath_trie.items():
count = _recusive_count_children(subtrie)
path_count_tuples.append((path, count))
# top 10 sorted by count
sorted_path_count_tuples = sorted(path_count_tuples,
key=lambda t: t[1],
reverse=True)
return sorted_path_count_tuples[0:show_top]
def compute_subtree_stats(self, subtree, counter=None):
"""
Recusively compute counts of different `kind` web sesources in subtree.
"""
if counter is None:
counter = Counter()
# don't count subtree itself, only its children
else:
counter[subtree['kind']] += 1
if 'children' in subtree:
for child in subtree['children']:
self.compute_subtree_stats(child, counter=counter)
return counter
def print_tree(self, tree_root, print_depth=3, hide_keys=[]):
"""
Print contents of web resource tree starting at `tree_root`.
"""
def print_web_resource_node(node, depth=1):
INDENT_BY = 3
extra_attrs = ''
if node is None:
print('Encountered a None node in print_web_resource_node')
return
if 'kind' in node:
extra_attrs = ' (' + node['kind'] + ') '
path = self.url_to_path(
node['url']) # print paths instead of full URLs
print(' ' * INDENT_BY * depth + ' -', 'path:', path, extra_attrs)
if depth < print_depth: # recurse and print children
if node['children']:
print(' ' * INDENT_BY * depth + ' ', 'children:')
for child in node['children']:
print_web_resource_node(child, depth=depth + 1)
else: # print only summary counts
counts = self.compute_subtree_stats(node)
if counts:
counts_str = str(counts).replace('Counter', '').strip('()')
print(' ' * INDENT_BY * depth + ' ', 'children counts:',
counts_str)
print_web_resource_node(tree_root)
def infer_gloabal_nav(self, tree_root, debug=False):
"""
Returns a list of web resources that are likely to be global nav links.
"""
global_nav_nodes = dict(
url=self.MAIN_SOURCE_DOMAIN,
kind='GlobalNavLinks',
children=[],
)
# 1. infer global nav URLs based on total seen count / total pages visited
total_urls_seen_count = len(self.urls_visited.keys())
def _is_likely_global_nav(url):
"""
Returns True if `url` is likely a global nav link based on how often seen in pages.
"""
seen_count = self.global_urls_seen_count[url]
if debug:
LOGGER.debug('seen_count/total_urls_seen_count=' +
str(float(seen_count) / total_urls_seen_count) +
'=' + str(seen_count) + '/' +
str(total_urls_seen_count) +
self.url_to_path(url))
# if previously determined to be a global nav link
for global_nav_resource in global_nav_nodes['children']:
if url == global_nav_resource['url']:
return True
# if new link that is seen a lot
if float(seen_count
) / total_urls_seen_count > self.GLOBAL_NAV_THRESHOLD:
return True
return False
def recusive_visit_find_global_nav_children(subtree):
for child in subtree['children']:
child_url = child['url']
if len(child['children']) == 0 and _is_likely_global_nav(
child_url):
LOGGER.debug('Found candidate for global nav url=' +
str(child_url) + 'adding to global_nav_nodes')
global_nav_resource = dict(
kind='GlobalNavLink',
url=child_url,
)
global_nav_resource.update(child)
global_nav_nodes['children'].append(global_nav_resource)
# recurse
recusive_visit_find_global_nav_children(child)
recusive_visit_find_global_nav_children(tree_root)
return global_nav_nodes
def remove_global_nav(self, tree_root, global_nav_nodes):
"""
Walks web resource tree and removes all web resources whose URLs match
nodes in global_nav_nodes['children'].
This method is a helper for debugging. Your production crawler should use
`self.IGNORE_URLS` to remove global nav links so won't crawl them at all.
"""
global_nav_urls = [d['url'] for d in global_nav_nodes['children']]
def _recusive_visit_rm_global_nav_children(subtree):
newchildren = []
for child in subtree['children']:
child_url = child['url']
if len(child['children']
) == 0 and child_url in global_nav_urls:
LOGGER.info('Removing global nav url =' + child_url)
else:
clean_child = _recusive_visit_rm_global_nav_children(child)
newchildren.append(clean_child)
subtree['children'] = newchildren
return subtree
_recusive_visit_rm_global_nav_children(tree_root)
def cleanup_web_resource_tree(self, tree_root):
"""
Remove nodes' parent links (otherwise tree is not json serializable).
"""
def cleanup_subtree(subtree):
if 'parent' in subtree:
del subtree['parent']
for child in subtree['children']:
cleanup_subtree(child)
cleanup_subtree(tree_root)
return tree_root
# TEXT HELPERS
############################################################################
def get_text(self, element):
"""
Extract text contents of `element`, normalizing newlines to spaces and stripping.
"""
if element is None:
return ''
else:
return element.get_text().replace('\r', '').replace('\n',
' ').strip()
def get_title(self, page):
title = ''
head_el = page.find('head')
if head_el:
title_el = head_el.find('title')
if title_el:
title = title_el.get_text().strip()
return title
# OUTPUT JSON
############################################################################
def write_web_resource_tree_json(self, channel_dict):
destpath = self.CRAWLING_STAGE_OUTPUT
parent_dir, _ = os.path.split(destpath)
if not os.path.exists(parent_dir):
os.makedirs(parent_dir, exist_ok=True)
with open(destpath, 'w') as wrt_file:
json.dump(channel_dict, wrt_file, indent=2)
