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Update app.py
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app.py
CHANGED
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@@ -17,47 +17,43 @@ from PyPDF2 import PdfReader # plain text extraction
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import gradio as gr # UI
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from dotenv import load_dotenv # optional .env support
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 1. PDF & TEXT PROCESSING
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def extract_pdf_text(pdf_file) -> str:
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"""Extracts text from a PDF file using PyPDF2."""
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reader = PdfReader(pdf_file)
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return "\n".join(p.extract_text() or "" for i, p in enumerate(reader.pages) if i >= 4)
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def extract_pdf_word(pdf_file) -> str:
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"""Extracts text from PDF using PyMuPDF (fitz) for better layout preservation."""
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doc = fitz.open(pdf_file)
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text_blocks = [page.get_text("text") for i, page in enumerate(doc) if i >= 4]
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return "\n".join(filter(None, text_blocks))
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def merge_pdf_wrapped_lines(raw_text: str) -> list[str]:
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"""Re-join hard-wrapped lines from PDF extraction
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merged = []
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for ln in raw_text.splitlines():
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ln_stripped = ln.strip()
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if not ln_stripped:
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continue
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if merged:
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prev = merged[-1]
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merged[-1] = prev + ' ' + ln_stripped
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continue
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merged.append(ln_stripped)
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return merged
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 2. RULE PARSING & CLEANING (
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# --- Regex for rule structure ---
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@@ -73,9 +69,6 @@ subpart_pat = re.compile(
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r'^\s*\d+\.\s*Subpart\s+([A-Z]{1,2})\s*[β-]\s*(.+)$',
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re.IGNORECASE
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)
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# NEW: Regex to specifically identify sub-rule paragraphs like (a), (1), (i)
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sub_rule_pat = re.compile(r'^\s*(\((?:[a-z]{1,2}|[ivx]+|\d+)\))\s*(.*)', re.IGNORECASE)
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# --- Regex for cleaning ---
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page_pat = re.compile(r'Page\s+\d+\s*/\s*\d+', re.IGNORECASE)
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@@ -104,89 +97,53 @@ def clean_line(line: str, source: str) -> str:
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line = re.sub(r'\s{2,}', ' ', line)
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return line.strip()
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def get_rule_level(paren_str):
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"""Determines nesting level of a sub-rule, e.g., (1) is 1, (a) is 2, (i) is 3."""
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content = paren_str.strip('()').lower()
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if not content: return 99
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if content.isdigit(): return 1
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if all(c in 'ivxlmc' for c in content): return 3 # roman numerals
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if content.isalpha(): return 2 # alphabetical
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return 4 # Unknown level, treat as deeply nested
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def parse_rules(text: str, source: str) -> dict[str, str]:
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"""
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This version is stateful and context-aware to handle hierarchies correctly.
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"""
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rules = {}
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parent_parts = [] # Tracks the current rule hierarchy, e.g., ['108.51', '(3)']
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lines_buffer = []
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def commit_buffer():
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"""Saves the buffered lines to the current rule ID."""
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if parent_parts and lines_buffer:
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rule_id = "".join(parent_parts)
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existing_text = rules.get(rule_id, "")
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new_text = " ".join(lines_buffer)
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rules[rule_id] = (existing_text + " " + new_text).strip()
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lines_buffer.clear()
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lines = merge_pdf_wrapped_lines(text)
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for
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if not
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if title:
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rules[
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paren_part = m_sub.group(1)
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text_part = m_sub.group(2).strip()
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new_level = get_rule_level(paren_part)
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while len(parent_parts) > 1:
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last_part = parent_parts[-1]
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last_level = get_rule_level(last_part)
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if last_level >= new_level:
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parent_parts.pop()
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else:
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break
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parent_parts.append(paren_part)
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if text_part:
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lines_buffer.append(text_part)
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lines_buffer.append(cleaned)
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commit_buffer()
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return {k: v for k, v in rules.items() if v}
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 3. COMPARISON & UI LOGIC
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def diff_unified(one: str, caa: str) -> str:
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@@ -223,16 +180,14 @@ def combined_sort_key(key: str):
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else:
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return (4, key)
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parts = re.split(r'(\d+\.\d+)|(\([a-zA-Z0-9]+\))', key)
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parts = [p for p in parts if p]
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for part in parts:
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sortable_tuple += tuple( (1, int(x)) for x in part.split('.'))
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else:
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return sortable_tuple
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@@ -263,6 +218,7 @@ def save_clean_and_dirty_versions(dirty_one, dirty_caa, clean_one, clean_caa, fi
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return filename
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def stage1_process_and_review(part, onereg_pdf, caa_pdf):
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if not (onereg_pdf and caa_pdf):
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raise gr.Error("Please upload both PDF files.")
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@@ -306,6 +262,7 @@ def stage1_process_and_review(part, onereg_pdf, caa_pdf):
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raise gr.Error(f"Failed during initial processing: {e}")
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def stage2_finalize_and_compare(review_df, original_one, original_caa):
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if review_df is None or review_df.empty:
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raise gr.Error("No data to compare. Please process the files first.")
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 4. GRADIO UI LAYOUT
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Blocks(theme=gr.themes.Soft(), title="Dual Rule Cleaning Tool") as demo:
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import gradio as gr # UI
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from dotenv import load_dotenv # optional .env support
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+
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 1. PDF & TEXT PROCESSING
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def extract_pdf_text(pdf_file) -> str:
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"""Extracts text from a PDF file using PyPDF2."""
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reader = PdfReader(pdf_file)
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return "\n".join(p.extract_text() or "" for p in reader.pages)
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def extract_pdf_word(pdf_file) -> str:
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"""Extracts text from PDF using PyMuPDF (fitz) for better layout preservation."""
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doc = fitz.open(pdf_file)
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text_blocks = [page.get_text("text") for page in doc]
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return "\n".join(filter(None, text_blocks))
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def merge_pdf_wrapped_lines(raw_text: str) -> list[str]:
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"""Re-join hard-wrapped lines from PDF extraction."""
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merged = []
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for ln in raw_text.splitlines():
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ln_stripped = ln.strip()
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if not ln_stripped: continue
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if merged:
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prev = merged[-1]
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if (re.search(r'[a-z]$', prev) and re.match(r'^[\(a-z]', ln_stripped)) or \
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(re.search(r'\b(?:rule|may|and|or)$', prev, re.I) and re.match(r'^\d+\.\d+', ln_stripped)) or \
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(re.search(r'\brule\s+\d+\.$', prev, re.I) and re.match(r'^\d', ln_stripped)):
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merged[-1] = prev + (' ' if re.search(r'[a-z]$', prev) else '') + ln_stripped
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continue
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merged.append(ln_stripped)
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return merged
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 2. RULE PARSING & CLEANING (Initial Automated Pass)
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# --- Regex for rule structure ---
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r'^\s*\d+\.\s*Subpart\s+([A-Z]{1,2})\s*[β-]\s*(.+)$',
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re.IGNORECASE
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)
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# --- Regex for cleaning ---
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page_pat = re.compile(r'Page\s+\d+\s*/\s*\d+', re.IGNORECASE)
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line = re.sub(r'\s{2,}', ' ', line)
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return line.strip()
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def parse_rules(text: str, source: str) -> dict[str, str]:
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"""Parses raw text into a dictionary of {rule_id: rule_text}."""
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rules, current, title = {}, None, ""
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lines = merge_pdf_wrapped_lines(text)
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for raw_line in lines:
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line = clean_line(raw_line, source)
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if not line: continue
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m_ap_item = appendix_item_pat.match(line)
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m_sp = subpart_pat.match(line)
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m_rule = rule_pat.match(line)
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new_key = None
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new_title = ""
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if m_ap_item:
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key_parts = [m_ap_item.group(1).upper(), m_ap_item.group(2)]
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if m_ap_item.group(3): key_parts.append(f"({m_ap_item.group(3).strip()})")
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new_key = ".".join(key_parts)
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new_title = m_ap_item.group('title').strip()
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elif m_sp:
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new_key = f"subpart-{m_sp.group(1).upper()}"
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new_title = f"Subpart {m_sp.group(1).upper()} β {m_sp.group(2).strip()}"
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elif m_rule:
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base = m_rule.group('base_rule')
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parens_str = m_rule.group('parens') or ""
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new_key = base + "".join(re.findall(r'\([^)]+\)', parens_str))
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new_title = m_rule.group('title').strip()
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if new_key:
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current = new_key
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title = new_title
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rules.setdefault(current, [])
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if title:
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rules[current].append(title)
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elif current:
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if not title or line.lower() != title.lower():
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rules[current].append(line)
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return {k: " ".join(v).strip() for k, v in rules.items()}
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 3. COMPARISON & UI LOGIC
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def diff_unified(one: str, caa: str) -> str:
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else:
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return (4, key)
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parts = re.split(r'[.()]', key)
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parts = [p for p in parts if p]
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for part in parts:
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if part.isdigit():
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sortable_tuple += ((1, int(part)),)
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else:
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sortable_tuple += ((2, part.lower()),)
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return sortable_tuple
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return filename
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# --- STAGE 1: Process PDFs and prepare for user review ---
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def stage1_process_and_review(part, onereg_pdf, caa_pdf):
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if not (onereg_pdf and caa_pdf):
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raise gr.Error("Please upload both PDF files.")
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raise gr.Error(f"Failed during initial processing: {e}")
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# --- STAGE 2: Take user-cleaned text and perform the final comparison ---
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def stage2_finalize_and_compare(review_df, original_one, original_caa):
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if review_df is None or review_df.empty:
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raise gr.Error("No data to compare. Please process the files first.")
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# 4. GRADIO UI LAYOUT
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# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Blocks(theme=gr.themes.Soft(), title="Dual Rule Cleaning Tool") as demo:
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