Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -17,47 +17,43 @@ from PyPDF2 import PdfReader # plain text extraction
|
|
17 |
import gradio as gr # UI
|
18 |
from dotenv import load_dotenv # optional .env support
|
19 |
|
|
|
20 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
21 |
-
# 1. PDF & TEXT PROCESSING
|
22 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
23 |
|
24 |
def extract_pdf_text(pdf_file) -> str:
|
25 |
"""Extracts text from a PDF file using PyPDF2."""
|
26 |
reader = PdfReader(pdf_file)
|
27 |
-
|
28 |
-
return "\n".join(p.extract_text() or "" for i, p in enumerate(reader.pages) if i >= 4)
|
29 |
|
30 |
|
31 |
def extract_pdf_word(pdf_file) -> str:
|
32 |
"""Extracts text from PDF using PyMuPDF (fitz) for better layout preservation."""
|
33 |
doc = fitz.open(pdf_file)
|
34 |
-
|
35 |
-
text_blocks = [page.get_text("text") for i, page in enumerate(doc) if i >= 4]
|
36 |
return "\n".join(filter(None, text_blocks))
|
37 |
|
38 |
|
39 |
def merge_pdf_wrapped_lines(raw_text: str) -> list[str]:
|
40 |
-
"""Re-join hard-wrapped lines from PDF extraction
|
41 |
merged = []
|
42 |
for ln in raw_text.splitlines():
|
43 |
ln_stripped = ln.strip()
|
44 |
-
if not ln_stripped:
|
45 |
-
continue
|
46 |
-
|
47 |
if merged:
|
48 |
prev = merged[-1]
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
merged[-1] = prev + ' ' + ln_stripped
|
54 |
continue
|
55 |
merged.append(ln_stripped)
|
56 |
return merged
|
57 |
|
58 |
|
59 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
60 |
-
# 2. RULE PARSING & CLEANING (
|
61 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
62 |
|
63 |
# --- Regex for rule structure ---
|
@@ -73,9 +69,6 @@ subpart_pat = re.compile(
|
|
73 |
r'^\s*\d+\.\s*Subpart\s+([A-Z]{1,2})\s*[β-]\s*(.+)$',
|
74 |
re.IGNORECASE
|
75 |
)
|
76 |
-
# NEW: Regex to specifically identify sub-rule paragraphs like (a), (1), (i)
|
77 |
-
sub_rule_pat = re.compile(r'^\s*(\((?:[a-z]{1,2}|[ivx]+|\d+)\))\s*(.*)', re.IGNORECASE)
|
78 |
-
|
79 |
|
80 |
# --- Regex for cleaning ---
|
81 |
page_pat = re.compile(r'Page\s+\d+\s*/\s*\d+', re.IGNORECASE)
|
@@ -104,89 +97,53 @@ def clean_line(line: str, source: str) -> str:
|
|
104 |
line = re.sub(r'\s{2,}', ' ', line)
|
105 |
return line.strip()
|
106 |
|
107 |
-
def get_rule_level(paren_str):
|
108 |
-
"""Determines nesting level of a sub-rule, e.g., (1) is 1, (a) is 2, (i) is 3."""
|
109 |
-
content = paren_str.strip('()').lower()
|
110 |
-
if not content: return 99
|
111 |
-
if content.isdigit(): return 1
|
112 |
-
if all(c in 'ivxlmc' for c in content): return 3 # roman numerals
|
113 |
-
if content.isalpha(): return 2 # alphabetical
|
114 |
-
return 4 # Unknown level, treat as deeply nested
|
115 |
|
116 |
def parse_rules(text: str, source: str) -> dict[str, str]:
|
117 |
-
"""
|
118 |
-
|
119 |
-
This version is stateful and context-aware to handle hierarchies correctly.
|
120 |
-
"""
|
121 |
-
rules = {}
|
122 |
-
parent_parts = [] # Tracks the current rule hierarchy, e.g., ['108.51', '(3)']
|
123 |
-
lines_buffer = []
|
124 |
-
|
125 |
-
def commit_buffer():
|
126 |
-
"""Saves the buffered lines to the current rule ID."""
|
127 |
-
if parent_parts and lines_buffer:
|
128 |
-
rule_id = "".join(parent_parts)
|
129 |
-
existing_text = rules.get(rule_id, "")
|
130 |
-
new_text = " ".join(lines_buffer)
|
131 |
-
rules[rule_id] = (existing_text + " " + new_text).strip()
|
132 |
-
lines_buffer.clear()
|
133 |
|
134 |
lines = merge_pdf_wrapped_lines(text)
|
135 |
|
136 |
-
for
|
137 |
-
|
138 |
-
if not
|
139 |
-
|
140 |
-
|
141 |
-
|
142 |
-
|
143 |
-
|
144 |
-
|
145 |
-
|
146 |
-
|
147 |
-
|
148 |
-
|
149 |
-
|
150 |
-
|
151 |
-
|
152 |
-
|
153 |
-
|
154 |
-
|
155 |
-
|
156 |
-
|
157 |
-
|
158 |
-
|
159 |
-
|
|
|
|
|
|
|
|
|
|
|
160 |
if title:
|
161 |
-
rules[
|
162 |
-
|
163 |
-
|
164 |
-
|
165 |
-
paren_part = m_sub.group(1)
|
166 |
-
text_part = m_sub.group(2).strip()
|
167 |
-
new_level = get_rule_level(paren_part)
|
168 |
-
|
169 |
-
while len(parent_parts) > 1:
|
170 |
-
last_part = parent_parts[-1]
|
171 |
-
last_level = get_rule_level(last_part)
|
172 |
-
if last_level >= new_level:
|
173 |
-
parent_parts.pop()
|
174 |
-
else:
|
175 |
-
break
|
176 |
-
|
177 |
-
parent_parts.append(paren_part)
|
178 |
-
if text_part:
|
179 |
-
lines_buffer.append(text_part)
|
180 |
|
181 |
-
|
182 |
-
lines_buffer.append(cleaned)
|
183 |
-
|
184 |
-
commit_buffer()
|
185 |
-
return {k: v for k, v in rules.items() if v}
|
186 |
|
187 |
|
188 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
189 |
-
# 3. COMPARISON & UI LOGIC
|
190 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
191 |
|
192 |
def diff_unified(one: str, caa: str) -> str:
|
@@ -223,16 +180,14 @@ def combined_sort_key(key: str):
|
|
223 |
else:
|
224 |
return (4, key)
|
225 |
|
226 |
-
|
227 |
-
parts = re.split(r'(\d+\.\d+)|(\([a-zA-Z0-9]+\))', key)
|
228 |
parts = [p for p in parts if p]
|
229 |
|
230 |
for part in parts:
|
231 |
-
|
232 |
-
|
233 |
-
sortable_tuple += tuple( (1, int(x)) for x in part.split('.'))
|
234 |
else:
|
235 |
-
|
236 |
return sortable_tuple
|
237 |
|
238 |
|
@@ -263,6 +218,7 @@ def save_clean_and_dirty_versions(dirty_one, dirty_caa, clean_one, clean_caa, fi
|
|
263 |
return filename
|
264 |
|
265 |
|
|
|
266 |
def stage1_process_and_review(part, onereg_pdf, caa_pdf):
|
267 |
if not (onereg_pdf and caa_pdf):
|
268 |
raise gr.Error("Please upload both PDF files.")
|
@@ -306,6 +262,7 @@ def stage1_process_and_review(part, onereg_pdf, caa_pdf):
|
|
306 |
raise gr.Error(f"Failed during initial processing: {e}")
|
307 |
|
308 |
|
|
|
309 |
def stage2_finalize_and_compare(review_df, original_one, original_caa):
|
310 |
if review_df is None or review_df.empty:
|
311 |
raise gr.Error("No data to compare. Please process the files first.")
|
@@ -360,7 +317,7 @@ def stage2_finalize_and_compare(review_df, original_one, original_caa):
|
|
360 |
|
361 |
|
362 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
363 |
-
# 4. GRADIO UI LAYOUT
|
364 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
365 |
|
366 |
with gr.Blocks(theme=gr.themes.Soft(), title="Dual Rule Cleaning Tool") as demo:
|
|
|
17 |
import gradio as gr # UI
|
18 |
from dotenv import load_dotenv # optional .env support
|
19 |
|
20 |
+
|
21 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
22 |
+
# 1. PDF & TEXT PROCESSING
|
23 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
24 |
|
25 |
def extract_pdf_text(pdf_file) -> str:
|
26 |
"""Extracts text from a PDF file using PyPDF2."""
|
27 |
reader = PdfReader(pdf_file)
|
28 |
+
return "\n".join(p.extract_text() or "" for p in reader.pages)
|
|
|
29 |
|
30 |
|
31 |
def extract_pdf_word(pdf_file) -> str:
|
32 |
"""Extracts text from PDF using PyMuPDF (fitz) for better layout preservation."""
|
33 |
doc = fitz.open(pdf_file)
|
34 |
+
text_blocks = [page.get_text("text") for page in doc]
|
|
|
35 |
return "\n".join(filter(None, text_blocks))
|
36 |
|
37 |
|
38 |
def merge_pdf_wrapped_lines(raw_text: str) -> list[str]:
|
39 |
+
"""Re-join hard-wrapped lines from PDF extraction."""
|
40 |
merged = []
|
41 |
for ln in raw_text.splitlines():
|
42 |
ln_stripped = ln.strip()
|
43 |
+
if not ln_stripped: continue
|
|
|
|
|
44 |
if merged:
|
45 |
prev = merged[-1]
|
46 |
+
if (re.search(r'[a-z]$', prev) and re.match(r'^[\(a-z]', ln_stripped)) or \
|
47 |
+
(re.search(r'\b(?:rule|may|and|or)$', prev, re.I) and re.match(r'^\d+\.\d+', ln_stripped)) or \
|
48 |
+
(re.search(r'\brule\s+\d+\.$', prev, re.I) and re.match(r'^\d', ln_stripped)):
|
49 |
+
merged[-1] = prev + (' ' if re.search(r'[a-z]$', prev) else '') + ln_stripped
|
|
|
50 |
continue
|
51 |
merged.append(ln_stripped)
|
52 |
return merged
|
53 |
|
54 |
|
55 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
56 |
+
# 2. RULE PARSING & CLEANING (Initial Automated Pass)
|
57 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
58 |
|
59 |
# --- Regex for rule structure ---
|
|
|
69 |
r'^\s*\d+\.\s*Subpart\s+([A-Z]{1,2})\s*[β-]\s*(.+)$',
|
70 |
re.IGNORECASE
|
71 |
)
|
|
|
|
|
|
|
72 |
|
73 |
# --- Regex for cleaning ---
|
74 |
page_pat = re.compile(r'Page\s+\d+\s*/\s*\d+', re.IGNORECASE)
|
|
|
97 |
line = re.sub(r'\s{2,}', ' ', line)
|
98 |
return line.strip()
|
99 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
100 |
|
101 |
def parse_rules(text: str, source: str) -> dict[str, str]:
|
102 |
+
"""Parses raw text into a dictionary of {rule_id: rule_text}."""
|
103 |
+
rules, current, title = {}, None, ""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
104 |
|
105 |
lines = merge_pdf_wrapped_lines(text)
|
106 |
|
107 |
+
for raw_line in lines:
|
108 |
+
line = clean_line(raw_line, source)
|
109 |
+
if not line: continue
|
110 |
+
|
111 |
+
m_ap_item = appendix_item_pat.match(line)
|
112 |
+
m_sp = subpart_pat.match(line)
|
113 |
+
m_rule = rule_pat.match(line)
|
114 |
+
|
115 |
+
new_key = None
|
116 |
+
new_title = ""
|
117 |
+
|
118 |
+
if m_ap_item:
|
119 |
+
key_parts = [m_ap_item.group(1).upper(), m_ap_item.group(2)]
|
120 |
+
if m_ap_item.group(3): key_parts.append(f"({m_ap_item.group(3).strip()})")
|
121 |
+
new_key = ".".join(key_parts)
|
122 |
+
new_title = m_ap_item.group('title').strip()
|
123 |
+
elif m_sp:
|
124 |
+
new_key = f"subpart-{m_sp.group(1).upper()}"
|
125 |
+
new_title = f"Subpart {m_sp.group(1).upper()} β {m_sp.group(2).strip()}"
|
126 |
+
elif m_rule:
|
127 |
+
base = m_rule.group('base_rule')
|
128 |
+
parens_str = m_rule.group('parens') or ""
|
129 |
+
new_key = base + "".join(re.findall(r'\([^)]+\)', parens_str))
|
130 |
+
new_title = m_rule.group('title').strip()
|
131 |
+
|
132 |
+
if new_key:
|
133 |
+
current = new_key
|
134 |
+
title = new_title
|
135 |
+
rules.setdefault(current, [])
|
136 |
if title:
|
137 |
+
rules[current].append(title)
|
138 |
+
elif current:
|
139 |
+
if not title or line.lower() != title.lower():
|
140 |
+
rules[current].append(line)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
141 |
|
142 |
+
return {k: " ".join(v).strip() for k, v in rules.items()}
|
|
|
|
|
|
|
|
|
143 |
|
144 |
|
145 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
146 |
+
# 3. COMPARISON & UI LOGIC
|
147 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
148 |
|
149 |
def diff_unified(one: str, caa: str) -> str:
|
|
|
180 |
else:
|
181 |
return (4, key)
|
182 |
|
183 |
+
parts = re.split(r'[.()]', key)
|
|
|
184 |
parts = [p for p in parts if p]
|
185 |
|
186 |
for part in parts:
|
187 |
+
if part.isdigit():
|
188 |
+
sortable_tuple += ((1, int(part)),)
|
|
|
189 |
else:
|
190 |
+
sortable_tuple += ((2, part.lower()),)
|
191 |
return sortable_tuple
|
192 |
|
193 |
|
|
|
218 |
return filename
|
219 |
|
220 |
|
221 |
+
# --- STAGE 1: Process PDFs and prepare for user review ---
|
222 |
def stage1_process_and_review(part, onereg_pdf, caa_pdf):
|
223 |
if not (onereg_pdf and caa_pdf):
|
224 |
raise gr.Error("Please upload both PDF files.")
|
|
|
262 |
raise gr.Error(f"Failed during initial processing: {e}")
|
263 |
|
264 |
|
265 |
+
# --- STAGE 2: Take user-cleaned text and perform the final comparison ---
|
266 |
def stage2_finalize_and_compare(review_df, original_one, original_caa):
|
267 |
if review_df is None or review_df.empty:
|
268 |
raise gr.Error("No data to compare. Please process the files first.")
|
|
|
317 |
|
318 |
|
319 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
320 |
+
# 4. GRADIO UI LAYOUT
|
321 |
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
322 |
|
323 |
with gr.Blocks(theme=gr.themes.Soft(), title="Dual Rule Cleaning Tool") as demo:
|