olmocr/scripts/scan_dolmadocs.py
mhamada-ai2 01644c4a49
Update scan_dolmadocs.py
Instruction text updates and public release question update
2025-04-22 16:16:21 -07:00

2031 lines
93 KiB
Python

import argparse
import base64
import csv
import datetime
import json
import os
import random
import re
import sqlite3
import tempfile
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
import boto3
import requests
import tinyhost
from tqdm import tqdm
from olmocr.data.renderpdf import render_pdf_to_base64webp
from olmocr.s3_utils import get_s3_bytes, parse_s3_path
def parse_args():
parser = argparse.ArgumentParser(description="Scan OLMO OCR workspace results and create visual samples")
parser.add_argument("workspace", help="OLMO OCR workspace path (s3://bucket/workspace)")
parser.add_argument("--pages_per_output", type=int, default=30, help="Number of pages per output file")
parser.add_argument("--repeats", type=int, default=1, help="Number of output files to generate")
parser.add_argument("--pdf_profile", help="AWS profile for accessing PDFs")
parser.add_argument("--output_dir", default="dolma_samples", help="Directory to save output HTML files")
parser.add_argument("--max_workers", type=int, default=4, help="Maximum number of worker threads")
parser.add_argument(
"--db_path",
default="~/s2pdf_url_data/d65142df-6588-4b68-a12c-d468b3761189.csv.db",
help="Path to the SQLite database containing PDF hash to URL mapping",
)
parser.add_argument(
"--prolific_code",
required=True,
help="Fixed completion code to use for all outputs",
)
parser.add_argument(
"--prolific_csv",
default="prolific_codes.csv",
help="Path to save the file with tinyhost links (one URL per line)",
)
parser.add_argument(
"--read_results",
help="Path to a CSV file containing previously generated tinyhost links to extract annotations",
)
return parser.parse_args()
# Fixed prolific code is now passed in as a command line argument
def obfuscate_code(code):
"""Gently obfuscate the Prolific code so it's not immediately visible in source."""
# Convert to base64 and reverse
encoded = base64.b64encode(code.encode()).decode()
return encoded[::-1]
def deobfuscate_code(obfuscated_code):
"""Deobfuscate the code - this will be done in JavaScript."""
# Reverse and decode from base64
reversed_encoded = obfuscated_code[::-1]
try:
return base64.b64decode(reversed_encoded).decode()
except:
return "ERROR_DECODING"
def parse_pdf_hash(pretty_pdf_path: str) -> Optional[str]:
pattern = r"s3://ai2-s2-pdfs/([a-f0-9]{4})/([a-f0-9]+)\.pdf"
match = re.match(pattern, pretty_pdf_path)
if match:
return match.group(1) + match.group(2)
return None
def get_original_url(pdf_hash: str, db_path: str) -> Optional[str]:
"""Look up the original URL for a PDF hash in the SQLite database."""
if not pdf_hash:
return None
try:
sqlite_db_path = os.path.expanduser(db_path)
if not os.path.exists(sqlite_db_path):
print(f"SQLite database not found at {sqlite_db_path}")
return None
conn = sqlite3.connect(sqlite_db_path)
cursor = conn.cursor()
cursor.execute("SELECT uri FROM pdf_mapping WHERE pdf_hash = ?", (pdf_hash,))
result = cursor.fetchone()
conn.close()
if result:
return result[0]
return None
except Exception as e:
print(f"Error looking up URL for PDF hash {pdf_hash}: {e}")
return None
def list_result_files(s3_client, workspace_path):
"""List all JSON result files in the workspace results directory."""
bucket, prefix = parse_s3_path(workspace_path)
results_prefix = os.path.join(prefix, "results").rstrip("/") + "/"
all_files = []
paginator = s3_client.get_paginator("list_objects_v2")
for page in paginator.paginate(Bucket=bucket, Prefix=results_prefix):
if "Contents" in page:
all_files.extend([f"s3://{bucket}/{obj['Key']}" for obj in page["Contents"] if obj["Key"].endswith(".jsonl") or obj["Key"].endswith(".json")])
# if len(all_files) > 1000:
# break
return all_files
def get_random_pages(s3_client, result_files, count=30):
"""Get random pages from the result files."""
random_pages = []
# Try to collect the requested number of pages
attempts = 0
max_attempts = count * 3 # Allow extra attempts to handle potential failures
while len(random_pages) < count and attempts < max_attempts:
attempts += 1
# Pick a random result file
if not result_files:
print("No result files found!")
break
result_file = random.choice(result_files)
try:
# Get the content of the file
content = get_s3_bytes(s3_client, result_file)
lines = content.decode("utf-8").strip().split("\n")
if not lines:
continue
# Pick a random line (which contains a complete document)
line = random.choice(lines)
doc = json.loads(line)
# A Dolma document has "text", "metadata", and "attributes" fields
if "text" not in doc or "metadata" not in doc or "attributes" not in doc:
print(f"Document in {result_file} is not a valid Dolma document")
continue
# Get the original PDF path from metadata
pdf_path = doc["metadata"].get("Source-File")
if not pdf_path:
continue
# Get page spans from attributes
page_spans = doc["attributes"].get("pdf_page_numbers", [])
if not page_spans:
continue
# Pick a random page span
page_span = random.choice(page_spans)
if len(page_span) >= 3:
# Page spans are [start_pos, end_pos, page_num]
page_num = page_span[2]
# Extract text for this page
start_pos, end_pos = page_span[0], page_span[1]
page_text = doc["text"][start_pos:end_pos].strip()
# Include the text snippet with the page info
random_pages.append((pdf_path, page_num, page_text, result_file))
if len(random_pages) >= count:
break
except Exception as e:
print(f"Error processing {result_file}: {e}")
continue
print(f"Found {len(random_pages)} random pages from Dolma documents")
return random_pages
def create_presigned_url(s3_client, pdf_path, expiration=3600 * 24 * 7):
"""Create a presigned URL for the given S3 path."""
try:
bucket, key = parse_s3_path(pdf_path)
url = s3_client.generate_presigned_url("get_object", Params={"Bucket": bucket, "Key": key}, ExpiresIn=expiration)
return url
except Exception as e:
print(f"Error creating presigned URL for {pdf_path}: {e}")
return None
def create_html_output(random_pages, pdf_s3_client, output_path, workspace_path, db_path, prolific_code, resolution=2048):
"""Create an HTML file with rendered PDF pages."""
# Obfuscate the provided Prolific code
obfuscated_code = obfuscate_code(prolific_code)
# Get current date and time for the report
current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
html_content = f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>OLMO OCR Samples</title>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
<style>
:root {{
--primary-color: #2563eb;
--secondary-color: #4b5563;
--border-color: #e5e7eb;
--bg-color: #f9fafb;
--text-color: #111827;
--text-light: #6b7280;
--card-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
--success-color: #10b981;
--overlay-bg: rgba(0, 0, 0, 0.7);
}}
* {{
box-sizing: border-box;
margin: 0;
padding: 0;
}}
body {{
font-family: 'Inter', sans-serif;
line-height: 1.6;
color: var(--text-color);
background-color: var(--bg-color);
padding: 2rem;
display: flex;
flex-direction: row;
gap: 2rem;
}}
ul {{
margin-left: 2em;
}}
ol {{
margin-left: 2em;
}}
.highlight {{
background-color: #f8f9fa;
border-left: 3px solid #3498db;
padding: 10px 15px;
margin: 15px 0;
}}
.container {{
flex: 2;
max-width: 750px;
}}
header {{
position: sticky;
top: 2rem;
flex: 1;
min-width: 380px;
max-width: 420px;
max-height: calc(100vh - 4rem);
overflow-y: auto;
padding: 1.5rem;
background-color: white;
border-radius: 0.5rem;
box-shadow: var(--card-shadow);
align-self: flex-start;
font-size: small;
}}
header h2 {{
margin-top: 1em;
}}
.important {{
font-weight: bold;
}}
.info-bar {{
background-color: white;
padding: 1rem;
border-radius: 0.5rem;
margin-bottom: 2rem;
box-shadow: var(--card-shadow);
display: flex;
justify-content: space-between;
flex-wrap: wrap;
gap: 1rem;
}}
.info-item {{
flex: 1;
min-width: 200px;
}}
.info-item h3 {{
font-size: 0.6rem;
color: var(--text-light);
margin-bottom: 0.25rem;
}}
.info-item p {{
font-size: 0.6rem;
}}
.page-grid {{
display: grid;
grid-template-columns: 1fr;
gap: 2rem;
}}
.page-container {{
background-color: white;
border-radius: 0.5rem;
overflow: hidden;
box-shadow: var(--card-shadow);
transition: all 0.3s ease;
}}
.page-container.editing {{
box-shadow: 0 0 0 3px var(--primary-color), var(--card-shadow);
}}
.page-info {{
padding: 1rem;
border-bottom: 1px solid var(--border-color);
}}
.page-info h2 {{
font-size: 1rem;
margin-bottom: 0.5rem;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}}
.page-info p {{
font-size: 0.875rem;
color: var(--text-light);
}}
.page-image-wrapper {{
padding: 1rem;
display: flex;
justify-content: center;
align-items: center;
background-color: #f3f4f6;
}}
.page-image {{
max-width: 100%;
height: auto;
border: 1px solid var(--border-color);
}}
.s3-link {{
padding: 1rem;
background-color: #f8fafc;
border-top: 1px solid var(--border-color);
font-size: 0.875rem;
color: var(--secondary-color);
word-break: break-all;
}}
.s3-link a {{
color: var(--primary-color);
text-decoration: none;
font-weight: 500;
}}
.s3-link a:hover {{
text-decoration: underline;
}}
/* Annotation elements */
.annotation-interface {{
display: none; /* Hide annotation interface by default */
margin-top: 1rem;
padding: 0.5rem;
border-top: 1px solid var(--border-color);
border-radius: 0.25rem;
background-color: #f8fafc;
}}
.annotation-interface.active {{
display: block; /* Show only the active annotation interface */
}}
.question-container {{
margin-bottom: 1rem;
}}
.question-text {{
font-weight: 500;
margin-bottom: 0.5rem;
}}
/* Button group styling for connected buttons */
.btn-group {{
display: inline-flex;
margin-bottom: 0.5rem;
}}
.btn-group .toggle-button {{
padding: 0.5rem 1rem;
border: 1px solid var(--border-color);
background-color: #f8fafc;
cursor: pointer;
margin: 0;
/* Remove individual border radius so we can set unified ones */
border-radius: 0;
}}
.btn-group .toggle-button:first-child {{
border-right: none;
border-top-left-radius: 0.25rem;
border-bottom-left-radius: 0.25rem;
}}
.btn-group .toggle-button:last-child {{
border-top-right-radius: 0.25rem;
border-bottom-right-radius: 0.25rem;
}}
.btn-group .toggle-button:not(:first-child):not(:last-child) {{
border-right: none;
}}
.toggle-button.active {{
background-color: var(--primary-color);
color: white;
}}
.checkbox-group {{
display: flex;
flex-wrap: wrap;
gap: 0.5rem;
margin-bottom: 1rem;
}}
.checkbox-group label {{
display: flex;
align-items: center;
padding: 0.25rem 0.5rem;
background-color: #f1f5f9;
border-radius: 0.25rem;
cursor: pointer;
font-size: 0.875rem;
border-left: 3px solid transparent;
}}
.checkbox-group label:hover {{
background-color: #e2e8f0;
}}
.checkbox-group input[type="checkbox"] {{
margin-right: 0.5rem;
}}
/* Styling for checkbox groups with headings */
.question-container h4 {{
margin-bottom: 0.5rem;
font-weight: 600;
font-size: 0.9rem;
border-bottom: 1px solid #e5e7eb;
padding-bottom: 0.25rem;
}}
/* Slightly different styling for each group */
.question-container h4:nth-of-type(1) + .checkbox-group label {{
border-left-color: #3b82f6; /* Blue for identifiers */
}}
.question-container h4:nth-of-type(2) + .checkbox-group label {{
border-left-color: #10b981; /* Green for PII with identifier */
}}
.question-container h4:nth-of-type(3) + .checkbox-group label {{
border-left-color: #f59e0b; /* Amber for always-PII */
}}
.continue-button {{
padding: 0.5rem 1rem;
background-color: var(--primary-color);
color: white;
border: none;
border-radius: 0.25rem;
cursor: pointer;
font-weight: 500;
}}
.continue-button:hover {{
background-color: #1d4ed8;
}}
.annotation-interface textarea {{
display: none; /* Hide textarea by default */
width: 100%;
margin-top: 0.5rem;
margin-bottom: 1rem;
padding: 0.5rem;
font-size: 0.875rem;
border: 1px solid var(--border-color);
border-radius: 0.25rem;
}}
.annotation-status {{
display: inline-block;
margin-left: 1rem;
padding: 0.25rem 0.5rem;
border-radius: 0.25rem;
font-size: 0.75rem;
font-weight: 600;
}}
.status-complete {{
background-color: #ecfdf5;
color: var(--success-color);
cursor: pointer;
transition: all 0.2s ease;
}}
.status-complete:hover {{
background-color: #d1fae5;
box-shadow: 0 0 0 2px rgba(16, 185, 129, 0.3);
}}
.status-pending {{
background-color: #fff7ed;
color: #ea580c;
}}
.status-current {{
background-color: #eff6ff;
color: var(--primary-color);
animation: pulse 2s infinite;
}}
@keyframes pulse {{
0% {{ opacity: 0.6; }}
50% {{ opacity: 1; }}
100% {{ opacity: 0.6; }}
}}
.error {{
color: #dc2626;
padding: 1rem;
background-color: #fee2e2;
border-radius: 0.25rem;
}}
.completion-message {{
display: none;
margin: 2rem auto;
padding: 1.5rem;
background-color: #ecfdf5;
border: 1px solid #A7F3D0;
border-radius: 0.5rem;
text-align: center;
color: var(--success-color);
font-weight: 600;
max-width: 500px;
}}
footer {{
margin-top: 3rem;
text-align: center;
color: var(--text-light);
font-size: 0.875rem;
border-top: 1px solid var(--border-color);
padding-top: 1rem;
}}
/* Instructions Modal */
.instructions-modal-overlay {{
position: fixed;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: var(--overlay-bg);
display: flex;
align-items: center;
justify-content: center;
z-index: 1000;
opacity: 0;
visibility: hidden;
transition: opacity 0.3s ease, visibility 0.3s ease;
backdrop-filter: blur(3px);
}}
.instructions-modal-overlay.visible {{
opacity: 1;
visibility: visible;
}}
.instructions-modal {{
background-color: white;
border-radius: 8px;
width: 90%;
max-width: 1000px;
max-height: 90vh;
overflow-y: auto;
padding: 2rem;
box-shadow: 0 10px 25px rgba(0, 0, 0, 0.2);
position: relative;
animation: modalAppear 0.3s ease;
}}
@keyframes modalAppear {{
from {{
opacity: 0;
transform: translateY(-20px);
}}
to {{
opacity: 1;
transform: translateY(0);
}}
}}
.instructions-modal-header {{
margin-bottom: 1.5rem;
text-align: center;
}}
.instructions-modal-header h2 {{
font-size: 1.5rem;
color: var(--primary-color);
margin-bottom: 0.5rem;
}}
.instructions-modal-content {{
margin-bottom: 2rem;
overflow-y: auto;
max-height: 60vh;
padding-right: 10px;
border-radius: 4px;
scrollbar-width: thin;
}}
/* Scrollbar styling for webkit browsers */
.instructions-modal-content::-webkit-scrollbar {{
width: 8px;
}}
.instructions-modal-content::-webkit-scrollbar-track {{
background: #f1f1f1;
border-radius: 10px;
}}
.instructions-modal-content::-webkit-scrollbar-thumb {{
background: #c0c0c0;
border-radius: 10px;
}}
.instructions-modal-content::-webkit-scrollbar-thumb:hover {{
background: #a0a0a0;
}}
/* Styling for the cloned sidebar content in the modal */
.instructions-modal-content header {{
position: static;
min-width: unset;
max-width: unset;
max-height: unset;
overflow-y: visible;
padding: 0;
background-color: transparent;
border-radius: 0;
box-shadow: none;
align-self: auto;
font-size: inherit;
}}
.instructions-modal-footer {{
text-align: center;
}}
.instructions-modal-button {{
padding: 0.75rem 2rem;
background-color: var(--primary-color);
color: white;
border: none;
border-radius: 4px;
font-size: 1rem;
font-weight: 600;
cursor: pointer;
transition: background-color 0.2s ease;
}}
.instructions-modal-button:hover {{
background-color: #1d4ed8;
}}
.instructions-modal-button:disabled {{
background-color: #9cb3f0;
cursor: not-allowed;
opacity: 0.7;
}}
@media (max-width: 768px) {{
body {{
padding: 1rem;
flex-direction: column;
}}
header {{
position: static;
max-width: 100%;
margin-left: 0;
margin-bottom: 2rem;
}}
.container {{
max-width: 100%;
}}
.instructions-modal {{
padding: 1.5rem;
width: 95%;
}}
}}
</style>
</head>
<body>
<header>
<h2>Task Overview</h2>
<p>In this task, you will review {len(random_pages)} document pages and determine whether they contain any <span class="important">Personally Identifiable Information (PII)</span>. For each page, please follow the decision flow outlined in the "How to Annotate" section below.</p>
<p>Carefully but efficiently inspect each page and select the appropriate response. You do <span class="important">not</span> need to read every word. Instead, focus on ascertaining the document's intended use and spotting information that would qualify as PII.</p>
<p>The entire task should take about <span class="important">20-25 minutes</span>.</p>
<button id="view-instructions-button" style="background-color: var(--primary-color); color: white; border: none; border-radius: 4px; padding: 0.5rem 1rem; margin: 1rem 0; cursor: pointer;">View Instructions Popup</button>
<h2>How to Annotate</h2>
<p>The current annotation will be highlighted with a blue outline and a set of response buttons will be displayed directly below the page preview. If you are having trouble viewing the displayed page, click the “View Cached PDF” link for a better look. However, <span class="important">DO NOT</span> examine the entire document; <span class="important">ONLY</span> review the single page being previewed (also indicated in the parentheses after “Viewed Cached PDF”).</p>
<p>For each page, complete the following steps:</p>
<ol>
<li>
<p><span class="important">Determine if the document is intended for public release.</span></p>
<p>Inspect the page and answer: "Is this document intended for public release or dissemination?"</p>
<ul>
<li><strong>Yes</strong> - If the document appears to be a publication, research paper, public information, etc.</li>
<li><strong>No</strong> - If the document appears to be private, personal, or not intended for public release</li>
<li><strong>Cannot Read</strong> - If you are unable to read the page (e.g., foreign language, no text, etc.)</li>
<li><strong>Report Content</strong> - If the content is inappropriate or disturbing</li>
</ul>
<p>If you selected "Yes," "Cannot Read," or "Report Content," you will automatically move to the next document. If you selected "No," proceed to Step 2.</p>
</li>
<li>
<p><span class="important">Identify the kind of PII found in the private document (if any).</span></p>
<p>You will be shown a checklist with a set of PII options.</p>
<ul>
<li>Refer to the "How to Identify PII" section below and mark all options that apply.</li>
<li>If you select "Other," describe the kind of other PII in the expanded text box.</li>
</ul>
</li>
<li>
<p><span class="important">Press the blue Continue button to complete your annotation.</span></p>
<p>You will automatically be moved to the next annotation.</p>
</li>
</ol>
<p><span class="important">Note</span>: If you cannot confidently tell that a page is private, treat it as public and do not mark any PII you are unsure about. We anticipate very few private pages or instances of PII in these documents, so erring towards public and no PII minimizes false positives and keeps the review process consistent.</p>
<p>You may review and edit your previous annotations at any time. To do so, press the green Edit button directly above the page preview for the annotation you want to edit.</p>
<p>After completing all {len(random_pages)} document pages, you will receive a Prolific completion code.</p>
<h2>How to Identify PII</h2>
<h3 style="color: #3b82f6;">Identifiers for PII</h3>
<p>Some personal information needs to be accompanied by an <span class="important">identifier</span> to be considered PII. Identifiers that trigger PII include:</p>
<ul>
<li>Names (full names, first/last names, maiden names, nicknames, aliases)</li>
<li>Email Addresses</li>
<li>Phone Numbers</li>
</ul>
<p>Note that the reverse is also true - an identifier must be accompanied by additional personal information or another identifier (e.g., name + email address) to be considered PII.</p>
<br/>
<h3 style="color: #10b981;">PII that must co-occur with an Identifier</h3>
<div class="highlight">
<p>The following types of information should <span class="important">only</span> be marked as PII if they occur <span class="important">alongside an identifier</span> (commonly, a person's name):</p>
<ul>
<li>Addresses (street address, postal code, etc.)</li>
<li>Biographical Information (date of birth, place of birth, gender, sexual orientation, race, ethnicity, citizenship/immigration status, religion)</li>
<li>Location Information (geolocations, specific coordinates)</li>
<li>Employment Information (job titles, workplace names, employment history)</li>
<li>Education Information (school names, degrees, transcripts)</li>
<li>Medical Information (health records, diagnoses, genetic or neural data)</li>
</ul>
</div>
<p>For example, a street address might be personal information, but is not PII by itself; however, a street address associated with a name <span class="important">is</span> regulated PII.</p>
<br/>
<h3 style="color: #f59e0b;">PII that occurs even without an Identifier</h3>
<div class="highlight">
<p>Certain types of sensitive information should always be classified as PII because the information is inherently self-identifying. The following should <span class="important">always be marked as PII</span> even if they do not occur alongside an identifier:</p>
<ul>
<li>Government IDs (SSNs, passport numbers, driver's license numbers, tax IDs)</li>
<li>Financial Information (credit card numbers, bank account/routing numbers)</li>
<li>Biometric Data (fingerprints, retina scans, facial recognition data, voice signatures)</li>
<li>Login information (<span class="important">only</span> mark as PII when a <span class="important">username, password, and login location</span> are present together)</li>
</ul>
</div>
</header>
<div class="container">
<div class="info-bar">
<div class="info-item">
<h3>Generated On</h3>
<p>{current_time}</p>
</div>
<div class="info-item">
<h3>Workspace</h3>
<p title="{workspace_path}">{workspace_path}</p>
</div>
<div class="info-item">
<h3>Sample Size</h3>
<p>{len(random_pages)} pages</p>
</div>
</div>
<div class="page-grid">
"""
for i, (pdf_path, page_num, page_text, result_file) in enumerate(tqdm(random_pages, desc="Rendering pages")):
# Get original URL from PDF hash
pdf_hash = parse_pdf_hash(pdf_path)
_original_url = get_original_url(pdf_hash, db_path) if pdf_hash else None
# Create a truncated path for display
display_path = pdf_path
if len(display_path) > 60:
display_path = "..." + display_path[-57:]
# Generate presigned URL
presigned_url = create_presigned_url(pdf_s3_client, pdf_path)
try:
# Download PDF to temp file
bucket, key = parse_s3_path(pdf_path)
with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as temp_file:
pdf_data = pdf_s3_client.get_object(Bucket=bucket, Key=key)["Body"].read()
temp_file.write(pdf_data)
temp_file_path = temp_file.name
# Render PDF to base64 webp
base64_image = render_pdf_to_base64webp(temp_file_path, page_num, resolution)
# Add CSS class for the first annotation interface to be active by default
active_class = " active" if i == 0 else ""
# Add to HTML with the annotation interface
html_content += f"""
<div class="page-container" data-index="{i}">
<div class="page-info">
<p>{f'<a href="{presigned_url}#page={page_num}" target="_blank">View Cached PDF (page {page_num})</a>' if presigned_url else pdf_path}</p>
<p>
Status: <span class="annotation-status status-pending" id="status-{i}">Pending</span>
</p>
</div>
<div class="page-image-wrapper">
<img class="page-image" src="data:image/webp;base64,{base64_image}" alt="PDF Page {page_num}" loading="lazy" />
</div>
<div class="annotation-interface{active_class}" data-id="page-{i}" data-pdf-path="{pdf_path}" data-pdf-page="{page_num}">
<div class="question-container" id="question1-{i}">
<p class="question-text">Is this document meant for public dissemination? (ex. news article, research paper, etc.)</p>
<span class="btn-group">
<button type="button" class="toggle-button primary-option" data-value="yes-public" onclick="togglePrimaryOption(this, {i})">Yes</button>
<button type="button" class="toggle-button primary-option" data-value="no-public" onclick="togglePrimaryOption(this, {i})">No</button>
<button type="button" class="toggle-button primary-option" data-value="cannot-read" onclick="togglePrimaryOption(this, {i})">Cannot Read</button>
<button type="button" class="toggle-button primary-option" data-value="report-content" onclick="togglePrimaryOption(this, {i})">Report Content</button>
</span>
</div>
<div class="question-container" id="public-pii-options-{i}" style="display: none; margin-top: 1rem;">
<p class="question-text">Select any PII found in this public document:</p>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="ssn" onchange="saveCheckboxes(this)"> SSN</label>
<label><input type="checkbox" class="pii-checkbox" data-value="bank-info" onchange="saveCheckboxes(this)"> Bank Info</label>
<label><input type="checkbox" class="pii-checkbox" data-value="credit-card" onchange="saveCheckboxes(this)"> Credit Card Info</label>
<label><input type="checkbox" class="pii-checkbox" data-value="usernames-passwords" onchange="saveCheckboxes(this)"> Usernames/Passwords</label>
<label><input type="checkbox" class="pii-checkbox" data-value="other" onchange="toggleOtherTextarea(this)"> Other</label>
</div>
<textarea id="other-pii-public-{i}" placeholder="Describe other PII found in the document" style="display: none;" onchange="saveFeedback(this)" onkeydown="handleTextareaKeydown(event, this)"></textarea>
<button type="button" class="continue-button" onclick="saveThenNext(this)">Continue</button>
</div>
<div class="question-container" id="private-pii-options-{i}" style="display: none; margin-top: 1rem;">
<p class="question-text">Select any PII found in this private document:</p>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #3b82f6;">Identifiers for PII (Select these if found)</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="names" onchange="saveCheckboxes(this)"> Names (full, first, last, nicknames)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="email" onchange="saveCheckboxes(this)"> Email Addresses</label>
<label><input type="checkbox" class="pii-checkbox" data-value="phone" onchange="saveCheckboxes(this)"> Phone Numbers</label>
</div>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #10b981;">PII that must co-occur with an Identifier</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="addresses" onchange="saveCheckboxes(this)"> Addresses</label>
<label><input type="checkbox" class="pii-checkbox" data-value="biographical" onchange="saveCheckboxes(this)"> Biographical Info (DOB, gender, etc.)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="location" onchange="saveCheckboxes(this)"> Location Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="employment" onchange="saveCheckboxes(this)"> Employment Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="education" onchange="saveCheckboxes(this)"> Education Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="medical" onchange="saveCheckboxes(this)"> Medical Information</label>
</div>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #f59e0b;">PII that occurs even without an Identifier</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="government-id" onchange="saveCheckboxes(this)"> Government IDs (SSN, passport, etc.)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="financial" onchange="saveCheckboxes(this)"> Financial Information (credit card, bank)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="biometric" onchange="saveCheckboxes(this)"> Biometric Data</label>
<label><input type="checkbox" class="pii-checkbox" data-value="login-info" onchange="saveCheckboxes(this)"> Login Information (username + password)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="other" onchange="toggleOtherTextarea(this)"> Other</label>
</div>
<textarea id="other-pii-private-{i}" placeholder="Describe other PII found in the document" style="display: none;" onchange="saveFeedback(this)" onkeydown="handleTextareaKeydown(event, this)"></textarea>
<button type="button" class="continue-button" onclick="saveThenNext(this)">Continue</button>
</div>
</div>
</div>
"""
# Clean up temp file
os.unlink(temp_file_path)
except Exception as e:
# Add CSS class for the first annotation interface to be active by default
active_class = " active" if i == 0 else ""
html_content += f"""
<div class="page-container" data-index="{i}">
<div class="page-info">
<p>{f'<a href="{presigned_url}#page={page_num}" target="_blank">View Cached PDF (page {page_num})</a>' if presigned_url else pdf_path}</p>
<p>
Status: <span class="annotation-status status-pending" id="status-{i}">Pending</span>
</p>
</div>
<div class="error">Error: {str(e)}</div>
<div class="annotation-interface{active_class}" data-id="page-{i}" data-pdf-path="{pdf_path}" data-pdf-page="{page_num}">
<div class="question-container" id="question1-{i}">
<p class="question-text">Is this document intended for public release or dissemination?</p>
<span class="btn-group">
<button type="button" class="toggle-button primary-option" data-value="yes-public" onclick="togglePrimaryOption(this, {i})">Yes</button>
<button type="button" class="toggle-button primary-option" data-value="no-public" onclick="togglePrimaryOption(this, {i})">No</button>
<button type="button" class="toggle-button primary-option" data-value="cannot-read" onclick="togglePrimaryOption(this, {i})">Cannot Read</button>
<button type="button" class="toggle-button primary-option" data-value="report-content" onclick="togglePrimaryOption(this, {i})">Report Content</button>
</span>
</div>
<div class="question-container" id="public-pii-options-{i}" style="display: none; margin-top: 1rem;">
<p class="question-text">Select any PII found in this public document:</p>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="ssn" onchange="saveCheckboxes(this)"> SSN</label>
<label><input type="checkbox" class="pii-checkbox" data-value="bank-info" onchange="saveCheckboxes(this)"> Bank Info</label>
<label><input type="checkbox" class="pii-checkbox" data-value="credit-card" onchange="saveCheckboxes(this)"> Credit Card Info</label>
<label><input type="checkbox" class="pii-checkbox" data-value="usernames-passwords" onchange="saveCheckboxes(this)"> Usernames/Passwords</label>
<label><input type="checkbox" class="pii-checkbox" data-value="other" onchange="toggleOtherTextarea(this)"> Other</label>
</div>
<textarea id="other-pii-public-{i}" placeholder="Describe other PII found in the document" style="display: none;" onchange="saveFeedback(this)" onkeydown="handleTextareaKeydown(event, this)"></textarea>
<button type="button" class="continue-button" onclick="saveThenNext(this)">Continue</button>
</div>
<div class="question-container" id="private-pii-options-{i}" style="display: none; margin-top: 1rem;">
<p class="question-text">Select any PII found in this private document:</p>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #3b82f6;">Identifiers (Select these if found)</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="names" onchange="saveCheckboxes(this)"> Names (full, first, last, nicknames)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="email" onchange="saveCheckboxes(this)"> Email Addresses</label>
<label><input type="checkbox" class="pii-checkbox" data-value="phone" onchange="saveCheckboxes(this)"> Phone Numbers</label>
</div>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #10b981;">PII that requires an identifier above</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="addresses" onchange="saveCheckboxes(this)"> Addresses</label>
<label><input type="checkbox" class="pii-checkbox" data-value="biographical" onchange="saveCheckboxes(this)"> Biographical Info (DOB, gender, etc.)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="location" onchange="saveCheckboxes(this)"> Location Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="employment" onchange="saveCheckboxes(this)"> Employment Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="education" onchange="saveCheckboxes(this)"> Education Information</label>
<label><input type="checkbox" class="pii-checkbox" data-value="medical" onchange="saveCheckboxes(this)"> Medical Information</label>
</div>
<h4 style="margin-top: 1rem; font-size: 0.9rem; color: #f59e0b;">PII that is always sensitive (even without an identifier)</h4>
<div class="checkbox-group">
<label><input type="checkbox" class="pii-checkbox" data-value="government-id" onchange="saveCheckboxes(this)"> Government IDs (SSN, passport, etc.)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="financial" onchange="saveCheckboxes(this)"> Financial Information (credit card, bank)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="biometric" onchange="saveCheckboxes(this)"> Biometric Data</label>
<label><input type="checkbox" class="pii-checkbox" data-value="login-info" onchange="saveCheckboxes(this)"> Login Information (username + password)</label>
<label><input type="checkbox" class="pii-checkbox" data-value="other" onchange="toggleOtherTextarea(this)"> Other</label>
</div>
<textarea id="other-pii-private-{i}" placeholder="Describe other PII found in the document" style="display: none;" onchange="saveFeedback(this)" onkeydown="handleTextareaKeydown(event, this)"></textarea>
<button type="button" class="continue-button" onclick="saveThenNext(this)">Continue</button>
</div>
</div>
</div>
"""
html_content += (
"""
</div>
<div class="completion-message" id="completion-message">
Thank you! All annotations are complete.<br>
Your Prolific completion code is: <strong id="prolific-code">Loading...</strong>
</div>
<!-- Store the obfuscated code in a hidden element -->
<div id="obfuscated-code" style="display:none;">"""
+ obfuscated_code
+ """</div>
</div>
<script>
// Using externally injected async functions: fetchDatastore() and putDatastore()
// Track annotation progress
let currentIndex = 0;
const totalPages = document.querySelectorAll('.page-container').length;
// Update progress bar
function updateProgressBar() {
// Check if all annotations are complete
if (currentIndex >= totalPages) {
document.getElementById('completion-message').style.display = 'block';
}
}
// Update status indicators
function updateStatusIndicators() {
// Reset all status indicators
document.querySelectorAll('.annotation-status').forEach(function(status) {
status.className = 'annotation-status status-pending';
status.textContent = 'Pending';
// Remove any click handlers
status.onclick = null;
});
// Set current item status
const currentStatus = document.getElementById(`status-${currentIndex}`);
if (currentStatus) {
currentStatus.className = 'annotation-status status-current';
currentStatus.textContent = 'Current';
}
// Update completed statuses
for (let i = 0; i < currentIndex; i++) {
const status = document.getElementById(`status-${i}`);
if (status) {
status.className = 'annotation-status status-complete';
status.textContent = 'Edit ✎';
// Add click handler to edit this annotation
status.onclick = function() { editAnnotation(i); };
}
}
}
// Function to enable editing a previously completed annotation
function editAnnotation(index) {
// Hide current annotation interface
document.querySelector(`.annotation-interface[data-id="page-${currentIndex}"]`).classList.remove('active');
// Remove editing class from all containers
document.querySelectorAll('.page-container').forEach(container => {
container.classList.remove('editing');
});
// Show the selected annotation interface
document.querySelector(`.annotation-interface[data-id="page-${index}"]`).classList.add('active');
// Add editing class to the container being edited
const activeContainer = document.querySelector(`.page-container[data-index="${index}"]`);
if (activeContainer) {
activeContainer.classList.add('editing');
activeContainer.scrollIntoView({ behavior: 'smooth', block: 'center' });
}
// Update current index
currentIndex = index;
updateProgressBar();
updateStatusIndicators();
}
// Navigate to the next document
function goToNextDocument() {
// Hide current annotation interface
document.querySelector(`.annotation-interface[data-id="page-${currentIndex}"]`).classList.remove('active');
// Remove editing class from all containers
document.querySelectorAll('.page-container').forEach(container => {
container.classList.remove('editing');
});
// Move to next document if not at the end
if (currentIndex < totalPages - 1) {
currentIndex++;
document.querySelector(`.annotation-interface[data-id="page-${currentIndex}"]`).classList.add('active');
// Add editing class to current container
const activeContainer = document.querySelector(`.page-container[data-index="${currentIndex}"]`);
if (activeContainer) {
activeContainer.classList.add('editing');
activeContainer.scrollIntoView({ behavior: 'smooth', block: 'center' });
}
updateProgressBar();
updateStatusIndicators();
}
else {
// This was the last document, mark as complete
currentIndex = totalPages;
updateProgressBar();
updateStatusIndicators();
// Show completion message and scroll to it
document.getElementById('completion-message').style.display = 'block';
document.getElementById('completion-message').scrollIntoView({ behavior: 'smooth', block: 'center' });
}
}
// Handle text area keydown for Enter key
function handleTextareaKeydown(event, textarea) {
// If Enter key is pressed and not with Shift key, move to next document
if (event.key === 'Enter' && !event.shiftKey) {
event.preventDefault();
saveFeedback(textarea).then(() => {
goToNextDocument();
});
}
}
async function saveFeedback(source) {
const interfaceDiv = source.closest('.annotation-interface');
const id = interfaceDiv.getAttribute('data-id');
// Get the selected primary option
const activePrimaryButton = interfaceDiv.querySelector('button.primary-option.active');
const primaryOption = activePrimaryButton ? activePrimaryButton.getAttribute('data-value') : null;
// Get checkbox selections for public document
const publicPiiOptions = [];
interfaceDiv.querySelectorAll('#public-pii-options-' + id.split('-')[1] + ' input[type="checkbox"]:checked').forEach(checkbox => {
publicPiiOptions.push(checkbox.getAttribute('data-value'));
});
// Get checkbox selections for private document
const privatePiiOptions = [];
interfaceDiv.querySelectorAll('#private-pii-options-' + id.split('-')[1] + ' input[type="checkbox"]:checked').forEach(checkbox => {
privatePiiOptions.push(checkbox.getAttribute('data-value'));
});
// Get any "Other" descriptions
const otherPublicDesc = interfaceDiv.querySelector('#other-pii-public-' + id.split('-')[1])?.value || '';
const otherPrivateDesc = interfaceDiv.querySelector('#other-pii-private-' + id.split('-')[1])?.value || '';
const pdfPath = interfaceDiv.getAttribute('data-pdf-path');
const pdfPage = interfaceDiv.getAttribute('data-pdf-page');
const datastore = await fetchDatastore() || {};
datastore[id] = {
primaryOption: primaryOption,
publicPiiOptions: publicPiiOptions,
privatePiiOptions: privatePiiOptions,
otherPublicDesc: otherPublicDesc,
otherPrivateDesc: otherPrivateDesc,
pdfPath: pdfPath,
pdfPage: pdfPage
};
await putDatastore(datastore);
}
function saveThenNext(btn) {
const interfaceDiv = btn.closest('.annotation-interface');
saveFeedback(interfaceDiv).then(() => {
goToNextDocument();
});
}
function togglePrimaryOption(btn, index) {
const interfaceDiv = btn.closest('.annotation-interface');
// Remove active class from all primary option buttons in this group
interfaceDiv.querySelectorAll('button.primary-option').forEach(function(b) {
b.classList.remove('active');
});
// Toggle on the clicked button
btn.classList.add('active');
// Get the selected option
const option = btn.getAttribute('data-value');
// If user selected Yes, Cannot Read, or Report Content, clear any checkboxes
// from "No" option that might have been selected before
if (option === 'yes-public' || option === 'cannot-read' || option === 'report-content') {
// Clear all checkboxes
interfaceDiv.querySelectorAll('.pii-checkbox').forEach(checkbox => {
checkbox.checked = false;
});
// Hide/clear any textareas
interfaceDiv.querySelectorAll('textarea').forEach(textarea => {
textarea.value = '';
textarea.style.display = 'none';
});
}
// Hide all secondary option containers
document.querySelector(`#public-pii-options-${index}`).style.display = 'none';
document.querySelector(`#private-pii-options-${index}`).style.display = 'none';
// Immediately save the primary option selection
saveFeedback(interfaceDiv);
// Show the appropriate secondary options based on the selected primary option
if (option === 'yes-public') {
// If "Yes" for public document, immediately go to next without asking for PII
goToNextDocument();
} else if (option === 'no-public') {
document.querySelector(`#private-pii-options-${index}`).style.display = 'block';
} else {
// For "cannot-read" or "report-content", just save and move to next
goToNextDocument();
}
}
function toggleOtherTextarea(checkbox) {
const container = checkbox.closest('.question-container');
const textareaId = container.querySelector('textarea').id;
const textarea = document.getElementById(textareaId);
if (checkbox.checked) {
textarea.style.display = 'block';
textarea.focus();
} else {
textarea.style.display = 'none';
}
saveCheckboxes(checkbox);
}
function saveCheckboxes(input) {
const interfaceDiv = input.closest('.annotation-interface');
return saveFeedback(interfaceDiv);
}
// Function to deobfuscate the Prolific code
function deobfuscateCode(obfuscatedCode) {
// Reverse the string
const reversed = obfuscatedCode.split('').reverse().join('');
// Decode from base64
try {
return atob(reversed);
} catch (e) {
return "ERROR_DECODING";
}
}
function getQueryParam(name) {
const urlParams = new URLSearchParams(window.location.search);
return urlParams.get(name);
}
document.addEventListener("DOMContentLoaded", async function() {
// Get the datastore
const datastore = await fetchDatastore() || {};
// Check for PROLIFIC_PID in the URL query parameters
const prolificPid = getQueryParam('PROLIFIC_PID');
if (prolificPid) {
// If it exists, update the datastore with this value
datastore.prolific_pid = prolificPid;
await putDatastore(datastore);
}
// Track if instructions have been seen before
if (!datastore.hasOwnProperty('instructions_seen')) {
datastore.instructions_seen = false;
await putDatastore(datastore);
}
// Add editing class to the first container by default
const firstContainer = document.querySelector(`.page-container[data-index="0"]`);
if (firstContainer) {
firstContainer.classList.add('editing');
}
updateProgressBar();
updateStatusIndicators();
// Get and deobfuscate the Prolific code
const obfuscatedCode = document.getElementById('obfuscated-code').textContent;
const prolificCode = deobfuscateCode(obfuscatedCode);
document.getElementById('prolific-code').textContent = prolificCode;
document.querySelectorAll('.annotation-interface').forEach(function(interfaceDiv) {
const id = interfaceDiv.getAttribute('data-id');
const pageIndex = id.split('-')[1];
if (datastore[id]) {
const data = datastore[id];
// Set active state for primary option buttons
interfaceDiv.querySelectorAll('button.primary-option').forEach(function(btn) {
if (btn.getAttribute('data-value') === data.primaryOption) {
btn.classList.add('active');
// Show the appropriate secondary options
const option = btn.getAttribute('data-value');
if (option === 'yes-public') {
// No action needed for public documents - PII options remain hidden
} else if (option === 'no-public') {
document.querySelector(`#private-pii-options-${pageIndex}`).style.display = 'block';
}
} else {
btn.classList.remove('active');
}
});
// Restore public PII checkboxes
if (data.publicPiiOptions && data.publicPiiOptions.length > 0) {
const publicContainer = document.querySelector(`#public-pii-options-${pageIndex}`);
data.publicPiiOptions.forEach(option => {
const checkbox = publicContainer.querySelector(`input[data-value="${option}"]`);
if (checkbox) {
checkbox.checked = true;
if (option === 'other') {
document.getElementById(`other-pii-public-${pageIndex}`).style.display = 'block';
}
}
});
}
// Restore private PII checkboxes
if (data.privatePiiOptions && data.privatePiiOptions.length > 0) {
const privateContainer = document.querySelector(`#private-pii-options-${pageIndex}`);
data.privatePiiOptions.forEach(option => {
const checkbox = privateContainer.querySelector(`input[data-value="${option}"]`);
if (checkbox) {
checkbox.checked = true;
if (option === 'other') {
document.getElementById(`other-pii-private-${pageIndex}`).style.display = 'block';
}
}
});
}
// Set the textarea values
if (data.otherPublicDesc) {
document.getElementById(`other-pii-public-${pageIndex}`).value = data.otherPublicDesc;
}
if (data.otherPrivateDesc) {
document.getElementById(`other-pii-private-${pageIndex}`).value = data.otherPrivateDesc;
}
}
});
// If we have stored data, restore the current position
let lastAnnotatedIndex = -1;
for (let i = 0; i < totalPages; i++) {
const pageId = `page-${i}`;
if (datastore[pageId] && datastore[pageId].primaryOption) {
lastAnnotatedIndex = i;
}
}
// If we have annotated pages, go to the first unannotated page
if (lastAnnotatedIndex >= 0) {
document.querySelector(`.annotation-interface.active`).classList.remove('active');
// Check if all pages are annotated
if (lastAnnotatedIndex === totalPages - 1) {
// All pages are annotated, set currentIndex to totalPages to trigger completion
currentIndex = totalPages;
// Show completion message and scroll to it
document.getElementById('completion-message').style.display = 'block';
document.getElementById('completion-message').scrollIntoView({ behavior: 'smooth', block: 'center' });
} else {
// Go to the next unannotated page
currentIndex = lastAnnotatedIndex + 1;
document.querySelector(`.annotation-interface[data-id="page-${currentIndex}"]`).classList.add('active');
// Add editing class and scroll to the active annotation
const activeContainer = document.querySelector(`.page-container[data-index="${currentIndex}"]`);
if (activeContainer) {
// Remove editing class from all containers first
document.querySelectorAll('.page-container').forEach(container => {
container.classList.remove('editing');
});
// Add editing class to current container
activeContainer.classList.add('editing');
activeContainer.scrollIntoView({ behavior: 'smooth', block: 'center' });
}
}
updateProgressBar();
updateStatusIndicators();
}
});
// Instructions modal functionality
// Create modal container
const instructionsModal = document.createElement('div');
instructionsModal.className = 'instructions-modal-overlay';
instructionsModal.id = 'instructions-modal';
// Create modal content container
const modalContent = document.createElement('div');
modalContent.className = 'instructions-modal';
// Create header
const modalHeader = document.createElement('div');
modalHeader.className = 'instructions-modal-header';
modalHeader.innerHTML = `
<h2>Welcome to the OLMO OCR Annotation Task</h2>
<p>Please read these instructions carefully before you begin.</p>
`;
// Create content section - will be populated with sidebar content
const modalContentSection = document.createElement('div');
modalContentSection.className = 'instructions-modal-content';
// Clone the sidebar content to reuse in the modal
const sidebarContent = document.querySelector('header').cloneNode(true);
// Remove the "View Instructions Popup" button from the cloned content
const viewInstructionsButton = sidebarContent.querySelector('#view-instructions-button');
if (viewInstructionsButton) {
viewInstructionsButton.remove();
}
// Style the sidebar content for use in the modal
sidebarContent.style.fontSize = '14px';
sidebarContent.style.lineHeight = '1.5';
// Append the cloned sidebar content to the modal content section
modalContentSection.appendChild(sidebarContent);
// Create footer with start button (initially disabled)
const modalFooter = document.createElement('div');
modalFooter.className = 'instructions-modal-footer';
modalFooter.innerHTML = `<button id="start-button" class="instructions-modal-button" disabled>I Understand, Begin Task</button>
<p id="scroll-notice" style="margin-top: 10px; font-size: 0.85rem; color: #6b7280;">Please scroll to the bottom to continue</p>`;
// Assemble the modal
modalContent.appendChild(modalHeader);
modalContent.appendChild(modalContentSection);
modalContent.appendChild(modalFooter);
instructionsModal.appendChild(modalContent);
// Track scroll position in instructions and enable button when scrolled to bottom
let hasReachedBottom = false;
// Function to check if user has scrolled to the bottom of instructions
function checkScrollPosition() {
const contentSection = modalContentSection;
const scrollableContent = contentSection;
// Calculate if the user is at the bottom (allowing for small differences)
// We consider "bottom" when user has scrolled to at least 90% of the content
const scrollPosition = scrollableContent.scrollTop + scrollableContent.clientHeight;
const scrollHeight = scrollableContent.scrollHeight;
const scrollPercentage = (scrollPosition / scrollHeight) * 100;
if (scrollPercentage >= 90 && !hasReachedBottom) {
// User has scrolled to the bottom, enable the button
hasReachedBottom = true;
const startButton = document.getElementById('start-button');
if (startButton) {
startButton.disabled = false;
// Change the notice text
const scrollNotice = document.getElementById('scroll-notice');
if (scrollNotice) {
scrollNotice.textContent = 'You may now proceed';
scrollNotice.style.color = '#10b981'; // Success color
}
}
}
}
// Add scroll event listener to the modal content
modalContentSection.addEventListener('scroll', checkScrollPosition);
document.body.appendChild(instructionsModal);
// Show the instructions modal when the page loads
async function showInstructionsModal() {
const datastore = await fetchDatastore() || {};
// Check if the task is already completed or instructions have been seen
const isTaskCompleted = currentIndex >= totalPages;
const instructionsSeen = datastore.instructions_seen === true;
// Only show instructions if task is not completed and instructions haven't been seen
if (!isTaskCompleted && !instructionsSeen) {
instructionsModal.classList.add('visible');
}
}
// Handle button clicks for instructions modal
document.addEventListener('click', async function(event) {
// Start button closes the modal and marks instructions as seen
if (event.target && event.target.id === 'start-button') {
// Hide the modal
instructionsModal.classList.remove('visible');
// Update datastore to remember that instructions have been seen
const datastore = await fetchDatastore() || {};
datastore.instructions_seen = true;
await putDatastore(datastore);
}
// View instructions button shows the modal
if (event.target && event.target.id === 'view-instructions-button') {
instructionsModal.classList.add('visible');
}
});
// Show the instructions modal when page loads (after a slight delay)
setTimeout(showInstructionsModal, 500);
</script>
</body>
</html>
"""
)
with open(output_path, "w") as f:
f.write(html_content)
print(f"Created HTML output at {output_path}")
def generate_sample_set(args, i, s3_client, pdf_s3_client, result_files):
"""Generate a single sample set."""
output_filename = Path(args.output_dir) / f"dolma_samples_{i+1}.html"
print(f"\nGenerating sample set {i+1} of {args.repeats}")
# Get random pages
random_pages = get_random_pages(s3_client, result_files, args.pages_per_output)
# Use the fixed prolific code from command line arguments
prolific_code = args.prolific_code
# Create HTML output with the Prolific code
create_html_output(random_pages, pdf_s3_client, output_filename, args.workspace, args.db_path, prolific_code)
return output_filename
def extract_datastore_url(html_content: str) -> Optional[str]:
"""Extract the presigned datastore URL from HTML content."""
match = re.search(r'const\s+presignedGetUrl\s*=\s*"([^"]+)"', html_content)
if match:
return match.group(1)
return None
def extract_page_number_from_html(html_content: str, page_id: str) -> Optional[int]:
"""Extract PDF page number from HTML content for a specific page_id.
This is a fallback mechanism for older versions of the annotation page
that didn't store the page number in a data attribute.
"""
# Try to find the page number in the "View Cached PDF (page X)" text
# Look for section with this page_id
page_section_pattern = '<div class="page-container"[^>]*data-index="([^"]*)"[^>]*>.*?<div class="page-info">.*?<a href="[^"]*#page=([0-9]+)"[^>]*>View Cached PDF \\(page ([0-9]+)\\)</a>'
matches = re.finditer(page_section_pattern, html_content, re.DOTALL)
for match in matches:
container_index = match.group(1)
pdf_page_from_url = match.group(2)
pdf_page_from_text = match.group(3)
# Check if this container index matches our page_id (page-X)
if f"page-{container_index}" == page_id:
# Both numbers should be the same, but prefer the one from the URL fragment
try:
return int(pdf_page_from_url)
except (ValueError, TypeError):
try:
return int(pdf_page_from_text)
except (ValueError, TypeError):
pass
return None
def fetch_annotations(tinyhost_link: str) -> Tuple[Dict[str, Any], str, str]:
"""Fetch and parse annotations from a tinyhost link."""
# Request the HTML content
print(f"Fetching annotations from {tinyhost_link}")
response = requests.get(tinyhost_link)
response.raise_for_status()
html_content = response.text
# Extract the datastore URL
datastore_url = extract_datastore_url(html_content)
if not datastore_url:
print(f"Could not find datastore URL in {tinyhost_link}")
return {}, tinyhost_link, html_content
# Fetch the datastore content
print(f"Found datastore URL: {datastore_url}")
try:
datastore_response = requests.get(datastore_url)
datastore_response.raise_for_status()
annotations = datastore_response.json()
return annotations, tinyhost_link, html_content
except Exception as e:
print(f"Error fetching datastore from {datastore_url}: {e}")
return {}, tinyhost_link, html_content
def process_annotations(annotations_by_link: List[Tuple[Dict[str, Any], str, str]]) -> Dict[str, List[Dict[str, Any]]]:
"""Process and categorize annotations by feedback type."""
results = {
"public_document": [],
"private_document": [],
"cannot_read": [],
"report_content": [],
"no_annotation": [],
}
# Process each annotation
for annotations, link, html_content in annotations_by_link:
# Extract Prolific PID from datastore if available
prolific_pid = annotations.get("prolific_pid", None)
for page_id, annotation in annotations.items():
# Skip non-page entries like prolific_pid
if page_id == "prolific_pid":
continue
# Handle case where annotation might be a boolean or non-dict value
if not isinstance(annotation, dict) or "primaryOption" not in annotation:
continue
primary_option = annotation["primaryOption"]
pdf_path = annotation.get("pdfPath", "Unknown")
# Get PDF page number from annotation data
# This is the actual page number in the PDF that was annotated
pdf_page = None
# First try to get it from the annotation data (for new format)
if annotation.get("pdfPage"):
try:
pdf_page = int(annotation.get("pdfPage"))
except (ValueError, TypeError):
pass
# Fallback: try to extract page number from HTML content (for older format)
if pdf_page is None:
pdf_page = extract_page_number_from_html(html_content, page_id)
# Build a result item based on the new annotation structure
if primary_option == "yes-public":
# Public document - no PII info collected with new flow
results["public_document"].append(
{
"page_id": page_id,
"link": link,
"pdf_path": pdf_path,
"pdf_page": pdf_page,
"pii_types": [],
"has_pii": False,
"description": "",
"prolific_pid": prolific_pid,
}
)
elif primary_option == "no-public":
# Private document with potential PII
private_pii_options = annotation.get("privatePiiOptions", [])
other_desc = annotation.get("otherPrivateDesc", "")
if not private_pii_options:
# No PII selected in a private document
results["private_document"].append(
{
"page_id": page_id,
"link": link,
"pdf_path": pdf_path,
"pdf_page": pdf_page,
"pii_types": [],
"has_pii": False,
"description": "",
"prolific_pid": prolific_pid,
}
)
else:
# PII found in a private document
results["private_document"].append(
{
"page_id": page_id,
"link": link,
"pdf_path": pdf_path,
"pdf_page": pdf_page,
"pii_types": private_pii_options,
"has_pii": True,
"description": other_desc if "other" in private_pii_options else "",
"prolific_pid": prolific_pid,
}
)
elif primary_option == "cannot-read":
results["cannot_read"].append({"page_id": page_id, "link": link, "pdf_path": pdf_path, "pdf_page": pdf_page, "prolific_pid": prolific_pid})
elif primary_option == "report-content":
results["report_content"].append({"page_id": page_id, "link": link, "pdf_path": pdf_path, "pdf_page": pdf_page, "prolific_pid": prolific_pid})
else:
results["no_annotation"].append({"page_id": page_id, "link": link, "pdf_path": pdf_path, "pdf_page": pdf_page, "prolific_pid": prolific_pid})
return results
def print_annotation_report(annotation_results: Dict[str, List[Dict[str, Any]]], pdf_s3_client=None):
"""Print a summary report of annotations."""
total_pages = sum(len(items) for items in annotation_results.values())
print("\n" + "=" * 80)
print(f"ANNOTATION REPORT - Total Pages: {total_pages}")
print("=" * 80)
# Count pages with PII in public documents
public_with_pii = [page for page in annotation_results["public_document"] if page.get("has_pii", False)]
public_without_pii = [page for page in annotation_results["public_document"] if not page.get("has_pii", False)]
# Count pages with PII in private documents
private_with_pii = [page for page in annotation_results["private_document"] if page.get("has_pii", False)]
private_without_pii = [page for page in annotation_results["private_document"] if not page.get("has_pii", False)]
# Print summary statistics
print("\nSummary:")
print(
f" Public documents (total): {len(annotation_results['public_document'])} ({len(annotation_results['public_document'])/total_pages*100:.1f}% of all pages)"
)
print(f" - With PII: {len(public_with_pii)} ({len(public_with_pii)/max(1, len(annotation_results['public_document']))*100:.1f}% of public docs)")
print(
f" - Without PII: {len(public_without_pii)} ({len(public_without_pii)/max(1, len(annotation_results['public_document']))*100:.1f}% of public docs)"
)
print(
f" Private documents (total): {len(annotation_results['private_document'])} ({len(annotation_results['private_document'])/total_pages*100:.1f}% of all pages)"
)
print(f" - With PII: {len(private_with_pii)} ({len(private_with_pii)/max(1, len(annotation_results['private_document']))*100:.1f}% of private docs)")
print(
f" - Without PII: {len(private_without_pii)} ({len(private_without_pii)/max(1, len(annotation_results['private_document']))*100:.1f}% of private docs)"
)
print(f" Unreadable pages: {len(annotation_results['cannot_read'])} ({len(annotation_results['cannot_read'])/total_pages*100:.1f}%)")
print(f" Pages with reported content: {len(annotation_results['report_content'])} ({len(annotation_results['report_content'])/total_pages*100:.1f}%)")
print(f" Pages without annotation: {len(annotation_results['no_annotation'])} ({len(annotation_results['no_annotation'])/total_pages*100:.1f}%)")
# With the updated flow, there should be no public documents with PII flags
# as we don't collect PII information for public documents anymore
if public_with_pii:
print("\nNote: With the current annotation flow, public documents should not have PII flags.")
print(f"Found {len(public_with_pii)} public documents incorrectly marked with PII.")
# Analyze PII types in private documents
if private_with_pii:
# Categorize the PII types for clearer reporting
pii_categories = {
"Identifiers": ["names", "email", "phone"],
"PII requiring identifiers": ["addresses", "biographical", "location", "employment", "education", "medical"],
"Always sensitive PII": ["government-id", "financial", "biometric", "login-info"],
}
# Dictionary to track all PII counts
pii_counts_private = {}
for page in private_with_pii:
for pii_type in page.get("pii_types", []):
pii_counts_private[pii_type] = pii_counts_private.get(pii_type, 0) + 1
# Print categorized PII counts
print("\nPII Types in Private Documents:")
# Print each category
for category, pii_types in pii_categories.items():
print(f"\n {category}:")
for pii_type in pii_types:
count = pii_counts_private.get(pii_type, 0)
if count > 0:
print(f" - {pii_type}: {count} ({count/len(private_with_pii)*100:.1f}%)")
# Print any other PII types not in our categories (like "other")
other_pii = [pii_type for pii_type in pii_counts_private.keys() if not any(pii_type in types for types in pii_categories.values())]
if other_pii:
print("\n Other PII types:")
for pii_type in other_pii:
count = pii_counts_private.get(pii_type, 0)
print(f" - {pii_type}: {count} ({count/len(private_with_pii)*100:.1f}%)")
# With the updated flow, there should be no public documents with PII flags
# so we can remove this section
if public_with_pii:
print("\nNote: Public documents with PII flags found in old annotation results.")
print("These are from annotation sessions before the workflow change and should be disregarded.")
# Print detailed report for private documents with PII
if private_with_pii:
print("\nDetailed Report - Private Documents with PII:")
print("-" * 80)
for i, item in enumerate(private_with_pii, 1):
pdf_path = item["pdf_path"]
page_id = item["page_id"]
# Get the actual PDF page number
pdf_page = item.get("pdf_page")
# Generate presigned URL with PDF page number if client is available
presigned_url = None
if pdf_s3_client and pdf_path.startswith("s3://"):
presigned_url = create_presigned_url(pdf_s3_client, pdf_path)
if presigned_url and pdf_page is not None:
presigned_url += f"#page={pdf_page}"
print(f"{i}. PDF: {pdf_path}")
print(f" Page ID: {page_id}")
print(f" Link: {item['link']}#{page_id}")
if presigned_url:
print(f" Presigned URL: {presigned_url}")
print(f" PII Types: {', '.join(item['pii_types'])}")
if item.get("description"):
print(f" Description: {item['description']}")
if item.get("prolific_pid"):
print(f" Prolific PID: {item['prolific_pid']}")
print("-" * 80)
print("\nReport complete.")
def read_and_process_results(args):
"""Read and process results from a previously generated CSV file."""
try:
# Read the CSV file
links = []
with open(args.read_results, "r") as f:
for line in f:
if line.strip():
links.append(line.strip())
if not links:
print(f"No tinyhost links found in {args.read_results}")
return
print(f"Found {len(links)} tinyhost links in {args.read_results}")
# Set up PDF S3 client with profile if specified
if args.pdf_profile:
pdf_session = boto3.Session(profile_name=args.pdf_profile)
pdf_s3_client = pdf_session.client("s3")
else:
pdf_s3_client = boto3.client("s3")
# Fetch and process annotations
annotations_by_link = []
for link in tqdm(links, desc="Fetching annotations"):
try:
annotations, link_url, html_content = fetch_annotations(link)
annotations_by_link.append((annotations, link_url, html_content))
except Exception as e:
print(f"Error processing {link}: {e}")
# Process and categorize annotations
annotation_results = process_annotations(annotations_by_link)
# Print report with presigned URLs
print_annotation_report(annotation_results, pdf_s3_client)
# Save detailed report to file
output_file = Path(args.output_dir) / "annotation_report.csv"
print(f"\nSaving detailed report to {output_file}")
with open(output_file, "w", newline="") as f:
writer = csv.writer(f)
writer.writerow(["Category", "PDF Path", "Page ID", "Link", "Presigned URL", "Document Type", "PII Types", "Description", "Prolific PID"])
for category, items in annotation_results.items():
for item in items:
pdf_path = item["pdf_path"]
# Get the actual PDF page number
pdf_page = item.get("pdf_page")
# Generate presigned URL with the PDF page number
presigned_url = ""
if pdf_path.startswith("s3://"):
url = create_presigned_url(pdf_s3_client, pdf_path)
if url and pdf_page is not None:
presigned_url = f"{url}#page={pdf_page}"
elif url:
presigned_url = url
if category == "public_document":
doc_type = "Public"
pii_types = ", ".join(item.get("pii_types", []))
description = item.get("description", "")
elif category == "private_document":
doc_type = "Private"
pii_types = ", ".join(item.get("pii_types", []))
description = item.get("description", "")
else:
doc_type = ""
pii_types = ""
description = ""
# Extract Prolific PID from the item if available
prolific_pid = item.get("prolific_pid", "")
writer.writerow(
[
category,
item["pdf_path"],
item["page_id"],
f"{item['link']}#{item['page_id']}",
presigned_url,
doc_type,
pii_types,
description,
prolific_pid,
]
)
print(f"Report saved to {output_file}")
except Exception as e:
print(f"Error processing results: {e}")
raise
def main():
args = parse_args()
# Check if we're reading results from a previous run
if args.read_results:
read_and_process_results(args)
return
# Set up S3 clients
s3_client = boto3.client("s3")
# Set up PDF S3 client with profile if specified
if args.pdf_profile:
pdf_session = boto3.Session(profile_name=args.pdf_profile)
pdf_s3_client = pdf_session.client("s3")
else:
pdf_s3_client = s3_client
# Create output directory
output_dir = Path(args.output_dir)
output_dir.mkdir(exist_ok=True, parents=True)
# List all result files
print(f"Listing result files in {args.workspace}/results...")
result_files = list_result_files(s3_client, args.workspace)
print(f"Found {len(result_files)} result files")
# Use ThreadPoolExecutor to parallelize the generation of sample sets
output_files = []
if args.repeats > 1:
print(f"Using ThreadPoolExecutor with {min(args.max_workers, args.repeats)} workers")
with ThreadPoolExecutor(max_workers=min(args.max_workers, args.repeats)) as executor:
futures = []
for i in range(args.repeats):
future = executor.submit(generate_sample_set, args, i, s3_client, pdf_s3_client, result_files)
futures.append(future)
# Wait for all futures to complete and collect results
for future in futures:
try:
output_filename = future.result()
output_files.append(output_filename)
print(f"Completed generation of {output_filename}")
except Exception as e:
print(f"Error generating sample set: {e}")
else:
# If only one repeat, just run it directly
output_filename = generate_sample_set(args, 0, s3_client, pdf_s3_client, result_files)
output_files.append(output_filename)
# Now upload each resulting file into tinyhost
print("Generated all files, uploading tinyhost links now")
links = []
for output_filename in output_files:
link = tinyhost.tinyhost([str(output_filename)])[0]
links.append(link)
print(link)
# Create CSV file with just the tinyhost links, one per line
csv_path = args.prolific_csv
print(f"Writing tinyhost links to {csv_path}")
with open(csv_path, "w", newline="") as csvfile:
for link in links:
csvfile.write(f"{link}\n")
print(f"Tinyhost links written to {csv_path}")
if __name__ == "__main__":
main()