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crawler.py
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crawler.py
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import os
import os
import time
from sys import platform
from typing import (
Any,
Dict,
List,
Optional,
Set,
Tuple,
)
import openai
from playwright.sync_api import Browser, CDPSession, Page
from prompts import TEXT_SUMMARIZATION_PROMPT, BOOK_WRITING_PROMPT
from summarization import generate_summary
black_listed_elements: Set[str] = {
"html",
"head",
"title",
"meta",
"iframe",
"body",
"script",
"style",
"path",
"svg",
"br",
"::marker",
"img"
}
## crawler class
class SimpleCrawler:
def __init__(self) -> None:
try:
from playwright.sync_api import sync_playwright
except ImportError:
raise ImportError(
"Could not import playwright python package. "
"Please install it with `pip install playwright`."
)
self.browser: Browser = (
sync_playwright().start().chromium.launch(headless=True)
)
self.page: Page = self.browser.new_page()
self.page.set_viewport_size({"width": 1280, "height": 1080})
self.client: CDPSession
def go_to_page(self, url: str) -> None:
self.page.goto(url=url if "://" in url else "http://" + url)
self.client = self.page.context.new_cdp_session(self.page)
def _crawl(self) -> List[str]:
page = self.page
start = time.time()
page_state_as_text = []
device_pixel_ratio: float = page.evaluate("window.devicePixelRatio")
if platform == "darwin" and device_pixel_ratio == 1: # lies
device_pixel_ratio = 2
win_upper_bound: float = page.evaluate("window.pageYOffset")
win_left_bound: float = page.evaluate("window.pageXOffset")
win_width: float = page.evaluate("window.screen.width")
win_height: float = page.evaluate("window.screen.height")
win_right_bound: float = win_left_bound + win_width
win_lower_bound: float = win_upper_bound + win_height
# percentage_progress_start = (win_upper_bound / document_scroll_height) * 100
# percentage_progress_end = (
# (win_height + win_upper_bound) / document_scroll_height
# ) * 100
percentage_progress_start = 1
percentage_progress_end = 2
page_state_as_text.append(
{
"x": 0,
"y": 0,
"text": "[scrollbar {:0.2f}-{:0.2f}%]".format(
round(percentage_progress_start, 2), round(percentage_progress_end)
),
}
)
tree = self.client.send(
"DOMSnapshot.captureSnapshot",
{"computedStyles": [], "includeDOMRects": True, "includePaintOrder": True},
)
strings: Dict[int, str] = tree["strings"]
document: Dict[str, Any] = tree["documents"][0]
nodes: Dict[str, Any] = document["nodes"]
backend_node_id: Dict[int, int] = nodes["backendNodeId"]
attributes: Dict[int, Dict[int, Any]] = nodes["attributes"]
node_value: Dict[int, int] = nodes["nodeValue"]
parent: Dict[int, int] = nodes["parentIndex"]
node_names: Dict[int, int] = nodes["nodeName"]
is_clickable: Set[int] = set(nodes["isClickable"]["index"])
input_value: Dict[str, Any] = nodes["inputValue"]
input_value_index: List[int] = input_value["index"]
input_value_values: List[int] = input_value["value"]
layout: Dict[str, Any] = document["layout"]
layout_node_index: List[int] = layout["nodeIndex"]
bounds: Dict[int, List[float]] = layout["bounds"]
cursor: int = 0
child_nodes: Dict[str, List[Dict[str, Any]]] = {}
elements_in_view_port: List = []
anchor_ancestry: Dict[str, Tuple[bool, Optional[int]]] = {"-1": (False, None)}
button_ancestry: Dict[str, Tuple[bool, Optional[int]]] = {"-1": (False, None)}
def convert_name(
node_name: Optional[str], has_click_handler: Optional[bool]
) -> str:
if node_name == "a":
return "link"
if node_name == "input":
return "input"
if node_name == "img":
return "img"
if (
node_name == "button" or has_click_handler
): # found pages that needed this quirk
return "button"
else:
return "text"
def find_attributes(
attributes: Dict[int, Any], keys: List[str]
) -> Dict[str, str]:
values = {}
for [key_index, value_index] in zip(*(iter(attributes),) * 2):
if value_index < 0:
continue
key = strings[key_index]
value = strings[value_index]
if key in keys:
values[key] = value
keys.remove(key)
if not keys:
return values
return values
def add_to_hash_tree(
hash_tree: Dict[str, Tuple[bool, Optional[int]]],
tag: str,
node_id: int,
node_name: Optional[str],
parent_id: int,
) -> Tuple[bool, Optional[int]]:
parent_id_str = str(parent_id)
if not parent_id_str in hash_tree:
parent_name = strings[node_names[parent_id]].lower()
grand_parent_id = parent[parent_id]
add_to_hash_tree(
hash_tree, tag, parent_id, parent_name, grand_parent_id
)
is_parent_desc_anchor, anchor_id = hash_tree[parent_id_str]
# even if the anchor is nested in another anchor, we set the "root" for all descendants to be ::Self
if node_name == tag:
value: Tuple[bool, Optional[int]] = (True, node_id)
elif (
is_parent_desc_anchor
): # reuse the parent's anchor_id (which could be much higher in the tree)
value = (True, anchor_id)
else:
value = (
False,
None,
) # not a descendant of an anchor, most likely it will become text, an interactive element or discarded
hash_tree[str(node_id)] = value
return value
for index, node_name_index in enumerate(node_names):
node_parent = parent[index]
node_name: Optional[str] = strings[node_name_index].lower()
is_ancestor_of_anchor, anchor_id = add_to_hash_tree(
anchor_ancestry, "a", index, node_name, node_parent
)
is_ancestor_of_button, button_id = add_to_hash_tree(
button_ancestry, "button", index, node_name, node_parent
)
try:
cursor = layout_node_index.index(
index
) # todo replace this with proper cursoring, ignoring the fact this is O(n^2) for the moment
except:
continue
if node_name in black_listed_elements:
continue
[x, y, width, height] = bounds[cursor]
x /= device_pixel_ratio
y /= device_pixel_ratio
width /= device_pixel_ratio
height /= device_pixel_ratio
elem_left_bound = x
elem_top_bound = y
elem_right_bound = x + width
elem_lower_bound = y + height
partially_is_in_viewport = (
elem_left_bound < win_right_bound
and elem_right_bound >= win_left_bound
and elem_top_bound < win_lower_bound
and elem_lower_bound >= win_upper_bound
)
if not partially_is_in_viewport:
continue
meta_data: List[str] = []
# inefficient to grab the same set of keys for kinds of objects, but it's fine for now
element_attributes = find_attributes(
attributes[index], ["type", "placeholder", "aria-label", "title", "alt"]
)
ancestor_exception = is_ancestor_of_anchor or is_ancestor_of_button
ancestor_node_key = (
None
if not ancestor_exception
else str(anchor_id)
if is_ancestor_of_anchor
else str(button_id)
)
ancestor_node = (
None
if not ancestor_exception
else child_nodes.setdefault(str(ancestor_node_key), [])
)
if node_name == "#text" and ancestor_exception and ancestor_node:
text = strings[node_value[index]]
if text == "|" or text == "•":
continue
ancestor_node.append({"type": "type", "value": text})
else:
if (
node_name == "input" and element_attributes.get("type") == "submit"
) or node_name == "button":
node_name = "button"
element_attributes.pop(
"type", None
) # prevent [button ... (button)..]
for key in element_attributes:
if ancestor_exception and ancestor_node:
ancestor_node.append(
{
"type": "attribute",
"key": key,
"value": element_attributes[key],
}
)
else:
meta_data.append(element_attributes[key])
element_node_value = None
if node_value[index] >= 0:
element_node_value = strings[node_value[index]]
if (
element_node_value == "|"
): # commonly used as a separator, does not add much context - lets save ourselves some token space
continue
elif (
node_name == "input"
and index in input_value_index
and element_node_value is None
):
node_input_text_index = input_value_index.index(index)
text_index = input_value_values[node_input_text_index]
if node_input_text_index >= 0 and text_index >= 0:
element_node_value = strings[text_index]
# remove redundant elements
if ancestor_exception and (node_name != "a" and node_name != "button"):
continue
elements_in_view_port.append(
{
"node_index": str(index),
"backend_node_id": backend_node_id[index],
"node_name": node_name,
"node_value": element_node_value,
"node_meta": meta_data,
"is_clickable": index in is_clickable,
"origin_x": int(x),
"origin_y": int(y),
"center_x": int(x + (width / 2)),
"center_y": int(y + (height / 2)),
}
)
# let filter further to remove anything that does not hold any text nor has click handlers + merge text from leaf#text nodes with the parent
elements_of_interest = []
id_counter = 0
for element in elements_in_view_port:
node_index = element.get("node_index")
node_name = element.get("node_name")
element_node_value = element.get("node_value")
node_is_clickable = element.get("is_clickable")
node_meta_data: Optional[List[str]] = element.get("node_meta")
inner_text = f"{element_node_value} " if element_node_value else ""
meta = ""
if node_index in child_nodes:
for child in child_nodes[node_index]:
entry_type = child.get("type")
entry_value = child.get("value")
if entry_type == "attribute" and node_meta_data:
entry_key = child.get("key")
node_meta_data.append(f'{entry_key}="{entry_value}"')
else:
inner_text += f"{entry_value} "
if node_meta_data:
meta_string = " ".join(node_meta_data)
meta = f" {meta_string}"
if inner_text != "":
inner_text = f"{inner_text.strip()}"
converted_node_name = convert_name(node_name, node_is_clickable)
# not very elegant, more like a placeholder
if (
(converted_node_name != "button" or meta == "")
and converted_node_name != "link"
and converted_node_name != "input"
and converted_node_name != "img"
and converted_node_name != "textarea"
) and inner_text.strip() == "":
continue
if inner_text != "":
elements_of_interest.append(
f"""<{converted_node_name} id={id_counter}{meta}>{inner_text}</{converted_node_name}>"""
)
else:
elements_of_interest.append(
f"""<{converted_node_name} id={id_counter}{meta}/>"""
)
id_counter += 1
print("Parsing time: {:0.2f} seconds".format(time.time() - start))
return elements_of_interest
def crawl(self) -> str:
import re
res = ''
text_list = self._crawl()
for t in text_list:
if 'text' in t and (match := re.search(r'<text id=\d+>(.*?)<\/text>', t)):
res += match.group(1) + '\n'
elif 'link' in t and (match := re.search(r'<link id=\d+ (.*?)\/>', t)):
res += match.group(1) + '\n'
return res
def crawl_and_rewrite(crawler, query, url_link: str) -> str:
crawler.go_to_page(url_link)
crawl_result = crawler.crawl()
# If data/ directory does not exist, create it
if not os.path.exists('data'):
os.makedirs('data')
with open('data/crawling_result_query_{}.txt'.format(query), 'w') as f:
f.write(crawl_result)
print('saved crawling result to crawling_result_query_{}.txt'.format(query))
summarization = generate_summary(crawl_result)
messages = [{"role": "user", "content": BOOK_WRITING_PROMPT.format(summarization=summarization)}]
response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages).choices[0].message.content.lower()
# print('got response from openai: \n {}'.format(response))
with open("data/book_{}.txt".format(query), 'a') as f:
f.write(response)
return response
if __name__ == "__main__":
crawler = SimpleCrawler()
url_link = "https://ko.wikipedia.org/wiki/%EC%98%81%ED%99%94"
result = crawl_and_rewrite(crawler, "test", url_link)
print('글쓰기 결과: {}'.format(result))