GotPsi / src /cleaners /location_parser.py
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"""
Location parser for user survey data.
Parses location strings that contain city, state, coordinates, and country
information in a single comma-separated string within CSV data.
Example formats:
- "Baltimore, Maryland, USA"
- "Kolding 55.68/12.55,Denmark"
- "St Paul Park 48.91/-95.35,USA"
- "London, UK"
"""
from pathlib import Path
from typing import Optional, Dict, Set, List
import re
from ..core.base_classes import BaseCleaner
from ..core.config import Config
from ..core.errata_logger import ErrataLogger
class LocationParser(BaseCleaner):
"""
Parses location strings into structured components.
Handles:
- Coordinate extraction (pattern: NN.NN/NN.NN or NN.NN-NN.NN)
- Country identification from list
- US state identification (full names and abbreviations)
- City extraction from remaining text
"""
# Coordinate pattern: decimal degrees with / or - separator
# Handles: NN.NN/NN.NN, NN.NN/-NN.NN, NN.NN-NN.NN, NN/NN.NN, etc.
# Note: Longitude can be negative (e.g., 39.18/-76.67)
COORD_PATTERN = re.compile(r'(\d+(?:\.\d+)?[/-]-?\d+(?:\.\d+)?)')
def __init__(self, config: Config, errata_logger: Optional[ErrataLogger] = None):
"""
Initialize location parser.
Args:
config: Configuration object
errata_logger: Optional errata logger for error tracking
"""
super().__init__(config, errata_logger)
# Load country list
self.countries = self._load_countries()
# Load US states
self.us_states_full = self._load_us_states_full()
self.us_states_abbrev = self._load_us_states_abbrev()
def _load_countries(self) -> Set[str]:
"""
Load list of country names.
Returns:
Set of country names (uppercase for case-insensitive matching)
"""
# Common countries found in the data
# We'll expand this list based on what we see
countries = {
'USA', 'US', 'UNITED STATES', 'UNITED STATES OF AMERICA',
'UK', 'UNITED KINGDOM', 'ENGLAND', 'SCOTLAND', 'WALES',
'CANADA', 'AUSTRALIA', 'NEW ZEALAND', 'IRELAND',
'GERMANY', 'FRANCE', 'SPAIN', 'ITALY', 'NETHERLANDS',
'BELGIUM', 'SWITZERLAND', 'AUSTRIA', 'SWEDEN', 'NORWAY',
'DENMARK', 'FINLAND', 'POLAND', 'CZECH REPUBLIC',
'PORTUGAL', 'GREECE', 'HUNGARY', 'ROMANIA',
'JAPAN', 'CHINA', 'INDIA', 'SOUTH KOREA', 'KOREA',
'BRAZIL', 'ARGENTINA', 'MEXICO', 'CHILE',
'SOUTH AFRICA', 'ISRAEL', 'TURKEY',
'RUSSIA', 'UKRAINE', 'CROATIA', 'SERBIA',
'SINGAPORE', 'MALAYSIA', 'THAILAND', 'PHILIPPINES',
'INDONESIA', 'VIETNAM', 'TAIWAN',
'ICELAND', 'LUXEMBOURG', 'ESTONIA', 'LATVIA', 'LITHUANIA',
'SLOVENIA', 'SLOVAKIA', 'BULGARIA', 'CYPRUS', 'MALTA'
}
# Try to load from supplemental file if it exists
supplemental_path = Path(self.config.supplemental_dir) / 'countries.txt'
if supplemental_path.exists():
try:
with open(supplemental_path, 'r', encoding='utf-8') as f:
for line in f:
line = line.strip().upper()
if line and not line.startswith('#'):
countries.add(line)
except Exception as e:
self.log_error(
'country_list_load_failed',
f"Failed to load country list: {e}",
file_path=str(supplemental_path)
)
return countries
def _load_us_states_full(self) -> Set[str]:
"""
Load list of US state full names.
Returns:
Set of state names (uppercase)
"""
states = {
'ALABAMA', 'ALASKA', 'ARIZONA', 'ARKANSAS', 'CALIFORNIA',
'COLORADO', 'CONNECTICUT', 'DELAWARE', 'FLORIDA', 'GEORGIA',
'HAWAII', 'IDAHO', 'ILLINOIS', 'INDIANA', 'IOWA',
'KANSAS', 'KENTUCKY', 'LOUISIANA', 'MAINE', 'MARYLAND',
'MASSACHUSETTS', 'MICHIGAN', 'MINNESOTA', 'MISSISSIPPI', 'MISSOURI',
'MONTANA', 'NEBRASKA', 'NEVADA', 'NEW HAMPSHIRE', 'NEW JERSEY',
'NEW MEXICO', 'NEW YORK', 'NORTH CAROLINA', 'NORTH DAKOTA', 'OHIO',
'OKLAHOMA', 'OREGON', 'PENNSYLVANIA', 'RHODE ISLAND', 'SOUTH CAROLINA',
'SOUTH DAKOTA', 'TENNESSEE', 'TEXAS', 'UTAH', 'VERMONT',
'VIRGINIA', 'WASHINGTON', 'WEST VIRGINIA', 'WISCONSIN', 'WYOMING',
'DISTRICT OF COLUMBIA', 'DC'
}
return states
def _load_us_states_abbrev(self) -> Set[str]:
"""
Load list of US state abbreviations.
Returns:
Set of state abbreviations (uppercase)
"""
abbrevs = {
'AL', 'AK', 'AZ', 'AR', 'CA', 'CO', 'CT', 'DE', 'FL', 'GA',
'HI', 'ID', 'IL', 'IN', 'IA', 'KS', 'KY', 'LA', 'ME', 'MD',
'MA', 'MI', 'MN', 'MS', 'MO', 'MT', 'NE', 'NV', 'NH', 'NJ',
'NM', 'NY', 'NC', 'ND', 'OH', 'OK', 'OR', 'PA', 'RI', 'SC',
'SD', 'TN', 'TX', 'UT', 'VT', 'VA', 'WA', 'WV', 'WI', 'WY', 'DC'
}
return abbrevs
def parse_location(self, location_str: str) -> Dict[str, Optional[str]]:
"""
Parse location string into components.
Args:
location_str: Raw location string
Returns:
Dictionary with keys: city, state, coordinates, country
"""
result = {
'city': None,
'state': None,
'coordinates': None,
'country': None
}
if not location_str or not isinstance(location_str, str):
return result
# Clean up the input
location_str = location_str.strip()
if not location_str:
return result
# Work with uppercase for matching, keep original for extraction
location_upper = location_str.upper()
# Step 1: Extract coordinates (before splitting by comma)
# Coordinates might be embedded in the string like "Baltimore 39.18/-76.45, Maryland"
coord_match = self.COORD_PATTERN.search(location_str)
if coord_match:
result['coordinates'] = coord_match.group(1)
# Remove coordinates from string for further parsing
# Clean up whitespace around the removed coordinate
before = location_str[:coord_match.start()].rstrip()
after = location_str[coord_match.end():].lstrip()
# If there's a comma immediately after the coordinate, remove it
if after.startswith(','):
after = after[1:].lstrip()
# Rejoin, handling cases where coordinate was between parts
if before and after:
location_str = before + ', ' + after
else:
location_str = before + after
location_str = location_str.strip()
location_upper = location_str.upper()
# Step 2: Split by comma
parts = [p.strip() for p in location_str.split(',') if p.strip()]
parts_upper = [p.upper() for p in parts]
if not parts:
return result
# Step 3: Extract country (usually last part)
country_found = False
for i in range(len(parts) - 1, -1, -1):
if parts_upper[i] in self.countries:
result['country'] = parts[i]
parts.pop(i)
parts_upper.pop(i)
country_found = True
break
if not parts:
return result
# Step 4: Extract state (if country is USA)
is_usa = result['country'] and result['country'].upper() in {'USA', 'US', 'UNITED STATES', 'UNITED STATES OF AMERICA'}
if is_usa:
# Check for state in remaining parts
for i in range(len(parts) - 1, -1, -1):
part_clean = parts_upper[i].strip()
if part_clean in self.us_states_full or part_clean in self.us_states_abbrev:
result['state'] = parts[i]
parts.pop(i)
parts_upper.pop(i)
break
# Step 5: Extract city (first remaining part, or join all remaining)
if parts:
# If multiple parts remain, they're likely all part of the city name
result['city'] = ' '.join(parts)
return result
def clean(
self,
data: str,
file_path: Optional[str] = None,
**kwargs
) -> Dict[str, Optional[str]]:
"""
Clean and parse location string.
Args:
data: Location string to parse
file_path: Optional file path for error logging
**kwargs: Additional parameters
Returns:
Dictionary with parsed location components
"""
try:
return self.parse_location(data)
except Exception as e:
self.log_error(
'location_parse_failed',
f"Failed to parse location '{data}': {e}",
file_path=file_path
)
return {
'city': None,
'state': None,
'coordinates': None,
'country': None
}
def clean_batch(
self,
location_strings: List[str]
) -> List[Dict[str, Optional[str]]]:
"""
Parse a batch of location strings.
Args:
location_strings: List of location strings to parse
Returns:
List of parsed location dictionaries
"""
results = []
for loc_str in location_strings:
results.append(self.parse_location(loc_str))
return results