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56c7b6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 | """
Document parser module for extracting content from Word documents.
This module provides functionality to parse CV and cover letter documents.
"""
import docx
from docx import Document
import os
import re
from typing import Dict, List, Tuple, Any
class DocumentParser:
"""Base class for document parsing."""
def __init__(self, file_path: str):
"""Initialize with document file path.
Args:
file_path: Path to the Word document
"""
self.file_path = file_path
self.document = Document(file_path)
def get_all_text(self) -> str:
"""Extract all text from the document.
Returns:
String containing all text from the document
"""
return "\n".join([para.text for para in self.document.paragraphs if para.text.strip()])
def save_document(self, output_path: str) -> None:
"""Save the document to a new file.
Args:
output_path: Path where the document should be saved
"""
self.document.save(output_path)
class CVParser(DocumentParser):
"""Parser specifically for CV/Resume documents."""
def __init__(self, file_path: str):
"""Initialize CV parser.
Args:
file_path: Path to the CV document
"""
super().__init__(file_path)
self.sections = self._extract_sections()
def _extract_sections(self) -> Dict[str, List[str]]:
"""Extract different sections from the CV.
Returns:
Dictionary with section names as keys and content as values
"""
sections = {}
current_section = "HEADER"
sections[current_section] = []
for para in self.document.paragraphs:
text = para.text.strip()
if not text:
continue
# Check if this is a section header (all caps, short text)
if text.isupper() and len(text) < 30 and text not in ["HEADER"]:
current_section = text
sections[current_section] = []
else:
sections[current_section].append(text)
return sections
def get_personal_info(self) -> Dict[str, str]:
"""Extract personal information from the CV.
Returns:
Dictionary containing personal information
"""
personal_info = {}
if "HEADER" in self.sections and self.sections["HEADER"]:
# First line is typically the name
if len(self.sections["HEADER"]) > 0:
personal_info["name"] = self.sections["HEADER"][0]
# Second line typically contains contact information
if len(self.sections["HEADER"]) > 1:
contact_line = self.sections["HEADER"][1]
# Extract email using regex
email_match = re.search(r'[\w.+-]+@[\w-]+\.[\w.-]+', contact_line)
if email_match:
personal_info["email"] = email_match.group(0)
# Extract phone number
phone_match = re.search(r'[\+\d][\d\s\(\)-]{8,}', contact_line)
if phone_match:
personal_info["phone"] = phone_match.group(0)
# Extract LinkedIn
linkedin_match = re.search(r'linkedin\.com/\S+', contact_line)
if linkedin_match:
personal_info["linkedin"] = linkedin_match.group(0)
return personal_info
def get_profile_summary(self) -> str:
"""Extract profile summary from the CV.
Returns:
String containing the profile summary
"""
if "PROFILE" in self.sections:
return " ".join(self.sections["PROFILE"])
return ""
def get_education(self) -> List[str]:
"""Extract education information.
Returns:
List of education entries
"""
if "EDUCATION" in self.sections:
return self.sections["EDUCATION"]
return []
def get_experience(self) -> List[str]:
"""Extract work experience information.
Returns:
List of experience entries
"""
if "EXPERIENCE" in self.sections:
return self.sections["EXPERIENCE"]
elif "WORK EXPERIENCE" in self.sections:
return self.sections["WORK EXPERIENCE"]
return []
def get_skills(self) -> List[str]:
"""Extract skills information.
Returns:
List of skills entries
"""
if "SKILLS" in self.sections:
return self.sections["SKILLS"]
elif "TECHNICAL SKILLS" in self.sections:
return self.sections["TECHNICAL SKILLS"]
return []
def get_all_sections(self) -> Dict[str, List[str]]:
"""Get all extracted sections.
Returns:
Dictionary with all sections
"""
return self.sections
def update_section(self, section_name: str, new_content: List[str]) -> None:
"""Update a specific section with new content.
Args:
section_name: Name of the section to update
new_content: New content for the section
"""
if section_name in self.sections:
# Find the paragraphs that belong to this section
section_start = None
section_end = None
for i, para in enumerate(self.document.paragraphs):
if para.text.strip() == section_name:
section_start = i
break
if section_start is not None:
# Find the end of this section (next section header or end of document)
for i in range(section_start + 1, len(self.document.paragraphs)):
if self.document.paragraphs[i].text.strip().isupper() and len(self.document.paragraphs[i].text.strip()) < 30:
section_end = i
break
if section_end is None:
section_end = len(self.document.paragraphs)
# Clear existing paragraphs in this section
for i in range(section_start + 1, section_end):
if self.document.paragraphs[i].text.strip():
self.document.paragraphs[i].clear()
# Add new content
# This is a simplified approach - in a real implementation, you'd need to handle
# formatting, styles, and potentially add new paragraphs if needed
current_para = section_start + 1
for content in new_content:
if current_para < section_end:
self.document.paragraphs[current_para].add_run(content)
current_para += 1
else:
# Would need to insert new paragraphs here
# This is simplified for demonstration
pass
class CoverLetterParser(DocumentParser):
"""Parser specifically for cover letter documents."""
def __init__(self, file_path: str):
"""Initialize cover letter parser.
Args:
file_path: Path to the cover letter document
"""
super().__init__(file_path)
self.sections = self._extract_sections()
def _extract_sections(self) -> Dict[str, str]:
"""Extract different parts of the cover letter.
Returns:
Dictionary with section names as keys and content as values
"""
sections = {
"header": "",
"greeting": "",
"body": "",
"closing": ""
}
# Simple approach based on paragraph position
# In a real implementation, you'd want more sophisticated parsing
non_empty_paragraphs = [p for p in self.document.paragraphs if p.text.strip()]
if len(non_empty_paragraphs) >= 1:
sections["header"] = non_empty_paragraphs[0].text
if len(non_empty_paragraphs) >= 2:
# Assuming the second paragraph might be a greeting
if "Dear" in non_empty_paragraphs[1].text or "To" in non_empty_paragraphs[1].text:
sections["greeting"] = non_empty_paragraphs[1].text
body_start = 2
else:
body_start = 1
# Assuming the last paragraph is the closing
if len(non_empty_paragraphs) > body_start:
body_paragraphs = non_empty_paragraphs[body_start:-1] if len(non_empty_paragraphs) > body_start + 1 else []
sections["body"] = "\n".join([p.text for p in body_paragraphs])
sections["closing"] = non_empty_paragraphs[-1].text
return sections
def get_header(self) -> str:
"""Get the header section of the cover letter.
Returns:
String containing the header
"""
return self.sections.get("header", "")
def get_greeting(self) -> str:
"""Get the greeting section of the cover letter.
Returns:
String containing the greeting
"""
return self.sections.get("greeting", "")
def get_body(self) -> str:
"""Get the main body of the cover letter.
Returns:
String containing the body
"""
return self.sections.get("body", "")
def get_closing(self) -> str:
"""Get the closing section of the cover letter.
Returns:
String containing the closing
"""
return self.sections.get("closing", "")
def update_body(self, new_body: str) -> None:
"""Update the body of the cover letter.
Args:
new_body: New content for the body section
"""
# Find paragraphs that contain the body
non_empty_paragraphs = [i for i, p in enumerate(self.document.paragraphs) if p.text.strip()]
if len(non_empty_paragraphs) >= 3:
# Assuming body starts at the third paragraph
body_start = non_empty_paragraphs[2]
# Assuming body ends before the last paragraph
if len(non_empty_paragraphs) > 3:
body_end = non_empty_paragraphs[-2]
else:
body_end = non_empty_paragraphs[-1]
# Clear existing body paragraphs
for i in range(body_start, body_end + 1):
self.document.paragraphs[i].clear()
# Add new body content to the first body paragraph
self.document.paragraphs[body_start].add_run(new_body)
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