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Merge pull request #10 from rejojer/working

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Working
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Mingtian Zhang 2025-04-20 23:09:28 +08:00 • committed by GitHub
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3 changed files with 135 additions and 112 deletions
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1
pageindex/config.yaml
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@ -5,3 +5,4 @@ max_token_num_each_node: 20000
if_add_node_id: "yes" if_add_node_id: "yes"
if_add_node_summary: "no" if_add_node_summary: "no"
if_add_doc_description: "yes" if_add_doc_description: "yes"
if_add_node_text: "no"

167
pageindex/page_index.py
View file

@ -7,11 +7,10 @@ import re
from .utils import * from .utils import *
import os import os
from concurrent.futures import ThreadPoolExecutor, as_completed from concurrent.futures import ThreadPoolExecutor, as_completed
import argparse
################### check title in page ######################################################### ################### check title in page #########################################################
def check_title_appearance(item, page_list, start_index=1, model=None): async def check_title_appearance(item, page_list, start_index=1, model=None):
title=item['title'] title=item['title']
if 'physical_index' not in item or item['physical_index'] is None: if 'physical_index' not in item or item['physical_index'] is None:
return {'list_index': item.get('list_index'), 'answer': 'no', 'title':title, 'page_number': None} return {'list_index': item.get('list_index'), 'answer': 'no', 'title':title, 'page_number': None}
@ -37,7 +36,7 @@ def check_title_appearance(item, page_list, start_index=1, model=None):
}} }}
Directly return the final JSON structure. Do not output anything else.""" Directly return the final JSON structure. Do not output anything else."""
response = ChatGPT_API(model=model, prompt=prompt) response = await ChatGPT_API_async(model=model, prompt=prompt)
response = extract_json(response) response = extract_json(response)
if 'answer' in response: if 'answer' in response:
answer = response['answer'] answer = response['answer']
@ -46,9 +45,9 @@ def check_title_appearance(item, page_list, start_index=1, model=None):
return {'list_index': item['list_index'], 'answer': answer, 'title': title, 'page_number': page_number} return {'list_index': item['list_index'], 'answer': answer, 'title': title, 'page_number': page_number}
def check_title_appearance_in_start(title, page_text, model=None, logger=None): async def check_title_appearance_in_start(title, page_text, model=None, logger=None):
prompt = f""" prompt = f"""
You will be given given the current section title and the current page_text. You will be given the current section title and the current page_text.
Your job is to check if the current section starts in the beginning of the given page_text. Your job is to check if the current section starts in the beginning of the given page_text.
If there are other contents before the current section title, then the current section does not start in the beginning of the given page_text. If there are other contents before the current section title, then the current section does not start in the beginning of the given page_text.
If the current section title is the first content in the given page_text, then the current section starts in the beginning of the given page_text. If the current section title is the first content in the given page_text, then the current section starts in the beginning of the given page_text.
@ -65,35 +64,39 @@ def check_title_appearance_in_start(title, page_text, model=None, logger=None):
}} }}
Directly return the final JSON structure. Do not output anything else.""" Directly return the final JSON structure. Do not output anything else."""
response = ChatGPT_API(model=model, prompt=prompt) response = await ChatGPT_API_async(model=model, prompt=prompt)
response = extract_json(response) response = extract_json(response)
if logger: if logger:
logger.info(f"Response: {response}") logger.info(f"Response: {response}")
if 'start_begin' in response: return response.get("start_begin", "no")
return response['start_begin']
else:
return 'no'
def check_title_appearance_in_start_parallel(structure, page_list, model=None, logger=None): async def check_title_appearance_in_start_concurrent(structure, page_list, model=None, logger=None):
if logger: if logger:
logger.info(f"Checking title appearance in start parallel") logger.info("Checking title appearance in start concurrently")
with ThreadPoolExecutor(max_workers=10) as executor:
future_to_item = {
executor.submit(check_title_appearance_in_start, item['title'], page_list[item['physical_index']-1][0], model=model, logger=logger): item
for item in structure
}
# Process completed futures and attach results to items # skip items without physical_index
for future in as_completed(future_to_item): for item in structure:
item = future_to_item[future] if item.get('physical_index') is None:
try: item['appear_start'] = 'no'
result = future.result()
item['appear_start'] = result # only for items with valid physical_index
except Exception as e: tasks = []
if logger: valid_items = []
logger.error(f"Error processing item {item['title']}: {str(e)}") for item in structure:
item['appear_start'] = 'no' if item.get('physical_index') is not None:
page_text = page_list[item['physical_index'] - 1][0]
tasks.append(check_title_appearance_in_start(item['title'], page_text, model=model, logger=logger))
valid_items.append(item)
results = await asyncio.gather(*tasks, return_exceptions=True)
for item, result in zip(valid_items, results):
if isinstance(result, Exception):
if logger:
logger.error(f"Error checking start for {item['title']}: {result}")
item['appear_start'] = 'no'
else:
item['appear_start'] = result
return structure return structure
@ -506,13 +509,14 @@ def generate_toc_continue(toc_content, part, model="gpt-4o-2024-11-20"):
The provided text contains tags like <physical_index_X> and <physical_index_X> to indicate the start and end of page X. \ The provided text contains tags like <physical_index_X> and <physical_index_X> to indicate the start and end of page X. \
For the physical_index, you need to extract the physical index of the start of the section from the text. Keep the <physical_index_X> format.
The response should be in the following format. The response should be in the following format.
[ [
{ {
"structure": <structure index, "x.x.x" or None> (string), "structure": <structure index, "x.x.x"> (string),
"title": <title of the section, keep the original title>, "title": <title of the section, keep the original title>,
"physical_index": "<physical_index_X> (keep the format)" or None "physical_index": "<physical_index_X> (keep the format)"
}, },
... ...
] ]
@ -538,13 +542,15 @@ def generate_toc_init(part, model=None):
The provided text contains tags like <physical_index_X> and <physical_index_X> to indicate the start and end of page X. The provided text contains tags like <physical_index_X> and <physical_index_X> to indicate the start and end of page X.
For the physical_index, you need to extract the physical index of the start of the section from the text. Keep the <physical_index_X> format.
The response should be in the following format. The response should be in the following format.
[ [
{ {{
"structure": <structure index, "x.x.x" or None> (string), "structure": <structure index, "x.x.x"> (string),
"title": <title of the section, keep the original title>, "title": <title of the section, keep the original title>,
"physical_index": "<physical_index_X> (keep the format)" or None "physical_index": "<physical_index_X> (keep the format)"
}, }},
], ],
@ -738,7 +744,7 @@ def single_toc_item_index_fixer(section_title, content, model="gpt-4o-2024-11-20
def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_index=1, model=None, logger=None): async def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_index=1, model=None, logger=None):
print(f'start fix_incorrect_toc with {len(incorrect_results)} incorrect results') print(f'start fix_incorrect_toc with {len(incorrect_results)} incorrect results')
incorrect_indices = {result['list_index'] for result in incorrect_results} incorrect_indices = {result['list_index'] for result in incorrect_results}
@ -746,7 +752,7 @@ def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_
incorrect_results_and_range_logs = [] incorrect_results_and_range_logs = []
# Helper function to process and check a single incorrect item # Helper function to process and check a single incorrect item
def process_and_check_item(incorrect_item): async def process_and_check_item(incorrect_item):
list_index = incorrect_item['list_index'] list_index = incorrect_item['list_index']
# Find the previous correct item # Find the previous correct item
prev_correct = None prev_correct = None
@ -786,7 +792,7 @@ def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_
# Check if the result is correct # Check if the result is correct
check_item = incorrect_item.copy() check_item = incorrect_item.copy()
check_item['physical_index'] = physical_index_int check_item['physical_index'] = physical_index_int
check_result = check_title_appearance(check_item, page_list, start_index, model) check_result = await check_title_appearance(check_item, page_list, start_index, model)
return { return {
'list_index': list_index, 'list_index': list_index,
@ -795,18 +801,17 @@ def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_
'is_valid': check_result['answer'] == 'yes' 'is_valid': check_result['answer'] == 'yes'
} }
# Process incorrect items concurrently
results = [] tasks = [
with ThreadPoolExecutor() as executor: process_and_check_item(item)
future_to_item = {executor.submit(process_and_check_item, item): item for item in incorrect_results} for item in incorrect_results
for future in as_completed(future_to_item): ]
item = future_to_item[future] results = await asyncio.gather(*tasks, return_exceptions=True)
for item, result in zip(incorrect_results, results):
try: if isinstance(result, Exception):
result = future.result() print(f"Processing item {item} generated an exception: {result}")
results.append(result) continue
except Exception as exc: results = [result for result in results if not isinstance(result, Exception)]
print(f"Processing item {item} generated an exception: {exc}")
# Update the toc_with_page_number with the fixed indices and check for any invalid results # Update the toc_with_page_number with the fixed indices and check for any invalid results
invalid_results = [] invalid_results = []
@ -827,7 +832,7 @@ def fix_incorrect_toc(toc_with_page_number, page_list, incorrect_results, start_
def fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_results, start_index=1, max_attempts=3, model=None, logger=None): async def fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_results, start_index=1, max_attempts=3, model=None, logger=None):
print('start fix_incorrect_toc') print('start fix_incorrect_toc')
fix_attempt = 0 fix_attempt = 0
current_toc = toc_with_page_number current_toc = toc_with_page_number
@ -836,7 +841,7 @@ def fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_re
while current_incorrect: while current_incorrect:
print(f"Fixing {len(current_incorrect)} incorrect results") print(f"Fixing {len(current_incorrect)} incorrect results")
current_toc, current_incorrect = fix_incorrect_toc(current_toc, page_list, current_incorrect, start_index, model, logger) current_toc, current_incorrect = await fix_incorrect_toc(current_toc, page_list, current_incorrect, start_index, model, logger)
fix_attempt += 1 fix_attempt += 1
if fix_attempt >= max_attempts: if fix_attempt >= max_attempts:
@ -849,7 +854,7 @@ def fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_re
################### verify toc ######################################################### ################### verify toc #########################################################
def verify_toc(page_list, list_result, start_index=1, N=None, model=None): async def verify_toc(page_list, list_result, start_index=1, N=None, model=None):
print('start verify_toc') print('start verify_toc')
# Find the last non-None physical_index # Find the last non-None physical_index
last_physical_index = None last_physical_index = None
@ -879,16 +884,12 @@ def verify_toc(page_list, list_result, start_index=1, N=None, model=None):
item_with_index['list_index'] = idx # Add the original index in list_result item_with_index['list_index'] = idx # Add the original index in list_result
indexed_sample_list.append(item_with_index) indexed_sample_list.append(item_with_index)
# Run checks in parallel # Run checks concurrently
results = [] tasks = [
with ThreadPoolExecutor(max_workers=10) as executor: check_title_appearance(item, page_list, start_index, model)
future_to_item = { for item in indexed_sample_list
executor.submit(check_title_appearance, item, page_list, start_index, model): item ]
for item in indexed_sample_list results = await asyncio.gather(*tasks)
}
for future in as_completed(future_to_item):
results.append(future.result())
# Process results # Process results
correct_count = 0 correct_count = 0
@ -910,7 +911,7 @@ def verify_toc(page_list, list_result, start_index=1, N=None, model=None):
################### main process ######################################################### ################### main process #########################################################
def meta_processor(page_list, mode=None, toc_content=None, toc_page_list=None, start_index=1, opt=None, logger=None): async def meta_processor(page_list, mode=None, toc_content=None, toc_page_list=None, start_index=1, opt=None, logger=None):
print(mode) print(mode)
print(f'start_index: {start_index}') print(f'start_index: {start_index}')
@ -922,7 +923,7 @@ def meta_processor(page_list, mode=None, toc_content=None, toc_page_list=None, s
toc_with_page_number = process_no_toc(page_list, start_index=start_index, model=opt.model, logger=logger) toc_with_page_number = process_no_toc(page_list, start_index=start_index, model=opt.model, logger=logger)
toc_with_page_number = [item for item in toc_with_page_number if item.get('physical_index') is not None] toc_with_page_number = [item for item in toc_with_page_number if item.get('physical_index') is not None]
accuracy, incorrect_results = verify_toc(page_list, toc_with_page_number, start_index=start_index, model=opt.model) accuracy, incorrect_results = await verify_toc(page_list, toc_with_page_number, start_index=start_index, model=opt.model)
logger.info({ logger.info({
'mode': 'process_toc_with_page_numbers', 'mode': 'process_toc_with_page_numbers',
@ -932,26 +933,26 @@ def meta_processor(page_list, mode=None, toc_content=None, toc_page_list=None, s
if accuracy == 1.0 and len(incorrect_results) == 0: if accuracy == 1.0 and len(incorrect_results) == 0:
return toc_with_page_number return toc_with_page_number
if accuracy > 0.6 and len(incorrect_results) > 0: if accuracy > 0.6 and len(incorrect_results) > 0:
toc_with_page_number, incorrect_results = fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_results,start_index=start_index, max_attempts=3, model=opt.model, logger=logger) toc_with_page_number, incorrect_results = await fix_incorrect_toc_with_retries(toc_with_page_number, page_list, incorrect_results,start_index=start_index, max_attempts=3, model=opt.model, logger=logger)
return toc_with_page_number return toc_with_page_number
else: else:
if mode == 'process_toc_with_page_numbers': if mode == 'process_toc_with_page_numbers':
return meta_processor(page_list, mode='process_toc_no_page_numbers', toc_content=toc_content, toc_page_list=toc_page_list, start_index=start_index, opt=opt, logger=logger) return await meta_processor(page_list, mode='process_toc_no_page_numbers', toc_content=toc_content, toc_page_list=toc_page_list, start_index=start_index, opt=opt, logger=logger)
elif mode == 'process_toc_no_page_numbers': elif mode == 'process_toc_no_page_numbers':
return meta_processor(page_list, mode='process_no_toc', start_index=start_index, opt=opt, logger=logger) return await meta_processor(page_list, mode='process_no_toc', start_index=start_index, opt=opt, logger=logger)
else: else:
raise Exception('Processing failed') raise Exception('Processing failed')
def process_large_node_recursively(node, page_list, opt=None, logger=None): async def process_large_node_recursively(node, page_list, opt=None, logger=None):
node_page_list = page_list[node['start_index']-1:node['end_index']-1] node_page_list = page_list[node['start_index']-1:node['end_index']]
token_num = sum([page[1] for page in node_page_list]) token_num = sum([page[1] for page in node_page_list])
if node['end_index'] - node['start_index'] > opt.max_page_num_each_node and token_num >= opt.max_token_num_each_node: if node['end_index'] - node['start_index'] > opt.max_page_num_each_node and token_num >= opt.max_token_num_each_node:
print('large node:', node['title'], 'start_index:', node['start_index'], 'end_index:', node['end_index'], 'token_num:', token_num) print('large node:', node['title'], 'start_index:', node['start_index'], 'end_index:', node['end_index'], 'token_num:', token_num)
node_toc_tree = meta_processor(node_page_list, mode='process_no_toc', start_index=node['start_index'], opt=opt, logger=logger) node_toc_tree = await meta_processor(node_page_list, mode='process_no_toc', start_index=node['start_index'], opt=opt, logger=logger)
node_toc_tree = check_title_appearance_in_start_parallel(node_toc_tree, page_list, model=opt.model, logger=logger) node_toc_tree = await check_title_appearance_in_start_concurrent(node_toc_tree, page_list, model=opt.model, logger=logger)
if node['title'].strip() == node_toc_tree[0]['title'].strip(): if node['title'].strip() == node_toc_tree[0]['title'].strip():
node['nodes'] = post_processing(node_toc_tree[1:], node['end_index']) node['nodes'] = post_processing(node_toc_tree[1:], node['end_index'])
@ -961,17 +962,20 @@ def process_large_node_recursively(node, page_list, opt=None, logger=None):
node['end_index'] = node_toc_tree[0]['start_index'] node['end_index'] = node_toc_tree[0]['start_index']
if 'nodes' in node and node['nodes']: if 'nodes' in node and node['nodes']:
for child_node in node['nodes']: tasks = [
process_large_node_recursively(child_node, page_list, opt, logger=logger) process_large_node_recursively(child_node, page_list, opt, logger=logger)
for child_node in node['nodes']
]
await asyncio.gather(*tasks)
return node return node
def tree_parser(page_list, opt, logger=None): async def tree_parser(page_list, opt, doc=None, logger=None):
check_toc_result = check_toc(page_list, opt) check_toc_result = check_toc(page_list, opt)
logger.info(check_toc_result) logger.info(check_toc_result)
if check_toc_result['toc_content'] is not None and check_toc_result['page_index_given_in_toc'] == 'yes': if check_toc_result.get("toc_content") and check_toc_result["toc_content"].strip() and check_toc_result["page_index_given_in_toc"] == "yes":
toc_with_page_number = meta_processor( toc_with_page_number = await meta_processor(
page_list, page_list,
mode='process_toc_with_page_numbers', mode='process_toc_with_page_numbers',
start_index=1, start_index=1,
@ -980,7 +984,7 @@ def tree_parser(page_list, opt, logger=None):
opt=opt, opt=opt,
logger=logger) logger=logger)
else: else:
toc_with_page_number = meta_processor( toc_with_page_number = await meta_processor(
page_list, page_list,
mode='process_no_toc', mode='process_no_toc',
start_index=1, start_index=1,
@ -988,10 +992,13 @@ def tree_parser(page_list, opt, logger=None):
logger=logger) logger=logger)
toc_with_page_number = add_preface_if_needed(toc_with_page_number) toc_with_page_number = add_preface_if_needed(toc_with_page_number)
toc_with_page_number = check_title_appearance_in_start_parallel(toc_with_page_number, page_list, model=opt.model, logger=logger) toc_with_page_number = await check_title_appearance_in_start_concurrent(toc_with_page_number, page_list, model=opt.model, logger=logger)
toc_tree = post_processing(toc_with_page_number, len(page_list)) toc_tree = post_processing(toc_with_page_number, len(page_list))
for node in toc_tree: tasks = [
process_large_node_recursively(node, page_list, opt, logger=logger) process_large_node_recursively(node, page_list, opt, logger=logger)
for node in toc_tree
]
await asyncio.gather(*tasks)
return toc_tree return toc_tree
@ -1012,13 +1019,15 @@ def page_index_main(doc, opt=None):
logger.info({'total_page_number': len(page_list)}) logger.info({'total_page_number': len(page_list)})
logger.info({'total_token': sum([page[1] for page in page_list])}) logger.info({'total_token': sum([page[1] for page in page_list])})
structure = tree_parser(page_list, opt, logger=logger) structure = asyncio.run(tree_parser(page_list, opt, doc=doc, logger=logger))
if opt.if_add_node_id == 'yes': if opt.if_add_node_id == 'yes':
write_node_id(structure) write_node_id(structure)
if opt.if_add_node_summary == 'yes': if opt.if_add_node_summary == 'yes':
add_node_text(structure, page_list) add_node_text(structure, page_list)
asyncio.run(generate_summaries_for_structure(structure, model=opt.model)) asyncio.run(generate_summaries_for_structure(structure, model=opt.model))
remove_structure_text(structure) remove_structure_text(structure)
if opt.if_add_node_text == 'yes':
add_node_text_with_labels(structure, page_list)
if opt.if_add_doc_description == 'yes': if opt.if_add_doc_description == 'yes':
doc_description = generate_doc_description(structure, model=opt.model) doc_description = generate_doc_description(structure, model=opt.model)
return { return {
@ -1033,7 +1042,7 @@ def page_index_main(doc, opt=None):
def page_index(doc, model=None, toc_check_page_num=None, max_page_num_each_node=None, max_token_num_each_node=None, def page_index(doc, model=None, toc_check_page_num=None, max_page_num_each_node=None, max_token_num_each_node=None,
if_add_node_id=None, if_add_node_summary=None, if_add_doc_description=None): if_add_node_id=None, if_add_node_summary=None, if_add_doc_description=None, if_add_node_text=None):
user_opt = { user_opt = {
arg: value for arg, value in locals().items() arg: value for arg, value in locals().items()

65
pageindex/utils.py
View file

@ -409,26 +409,31 @@ def add_preface_if_needed(data):
def get_page_tokens(pdf_path, model="gpt-4o-2024-11-20", pdf_parser="PyPDF2"): def get_page_tokens(pdf_path, model="gpt-4o-2024-11-20", pdf_parser="PyPDF2"):
enc = tiktoken.encoding_for_model(model)
if pdf_parser == "PyPDF2": if pdf_parser == "PyPDF2":
pdf_reader = PyPDF2.PdfReader(pdf_path) pdf_reader = PyPDF2.PdfReader(pdf_path)
page_list = []
for page_num in range(len(pdf_reader.pages)):
page = pdf_reader.pages[page_num]
page_text = page.extract_text()
token_length = len(enc.encode(page_text))
page_list.append((page_text, token_length))
return page_list
elif pdf_parser == "PyMuPDF": elif pdf_parser == "PyMuPDF":
pdf_reader = pymupdf.open(pdf_path) if isinstance(pdf_path, BytesIO):
pdf_stream = pdf_path
doc = pymupdf.open(stream=pdf_stream, filetype="pdf")
elif isinstance(pdf_path, str) and os.path.isfile(pdf_path) and pdf_path.lower().endswith(".pdf"):
doc = pymupdf.open(pdf_path)
page_list = []
for page in doc:
page_text = page.get_text()
token_length = len(enc.encode(page_text))
page_list.append((page_text, token_length))
return page_list
else: else:
raise ValueError(f"Unsupported PDF parser: {pdf_parser}") raise ValueError(f"Unsupported PDF parser: {pdf_parser}")
enc = tiktoken.encoding_for_model(model)
page_list = []
for page_num in range(len(pdf_reader.pages)):
page = pdf_reader.pages[page_num]
page_text = page.extract_text()
token_length = len(enc.encode(page_text))
page_list.append((page_text, token_length))
return page_list
def get_text_of_pdf_pages(pdf_pages, start_page, end_page): def get_text_of_pdf_pages(pdf_pages, start_page, end_page):
@ -437,6 +442,12 @@ def get_text_of_pdf_pages(pdf_pages, start_page, end_page):
text += pdf_pages[page_num][0] text += pdf_pages[page_num][0]
return text return text
def get_text_of_pdf_pages_with_labels(pdf_pages, start_page, end_page):
text = ""
for page_num in range(start_page-1, end_page):
text += f"<physical_index_{page_num+1}>\n{pdf_pages[page_num][0]}\n<physical_index_{page_num+1}>\n"
return text
def get_number_of_pages(pdf_path): def get_number_of_pages(pdf_path):
pdf_reader = PyPDF2.PdfReader(pdf_path) pdf_reader = PyPDF2.PdfReader(pdf_path)
num = len(pdf_reader.pages) num = len(pdf_reader.pages)
@ -534,18 +545,6 @@ def convert_page_to_int(data):
pass pass
return data return data
def write_node_id(data, node_id=0):
if isinstance(data, dict):
data['node_id'] = str(node_id).zfill(4)
node_id += 1
for key in list(data.keys()):
if 'nodes' in key:
node_id = write_node_id(data[key], node_id)
elif isinstance(data, list):
for index in range(len(data)):
node_id = write_node_id(data[index], node_id)
return node_id
def add_node_text(node, pdf_pages): def add_node_text(node, pdf_pages):
if isinstance(node, dict): if isinstance(node, dict):
@ -559,6 +558,20 @@ def add_node_text(node, pdf_pages):
add_node_text(node[index], pdf_pages) add_node_text(node[index], pdf_pages)
return return
def add_node_text_with_labels(node, pdf_pages):
if isinstance(node, dict):
start_page = node.get('start_index')
end_page = node.get('end_index')
node['text'] = get_text_of_pdf_pages_with_labels(pdf_pages, start_page, end_page)
if 'nodes' in node:
add_node_text_with_labels(node['nodes'], pdf_pages)
elif isinstance(node, list):
for index in range(len(node)):
add_node_text_with_labels(node[index], pdf_pages)
return
async def generate_node_summary(node, model=None): async def generate_node_summary(node, model=None):
prompt = f"""You are given a part of a document, your task is to generate a description of the partial document about what are main points covered in the partial document. prompt = f"""You are given a part of a document, your task is to generate a description of the partial document about what are main points covered in the partial document.