PROVINCIA Enum

Provincia(name, code)

# String representation
str(provincia)  # Returns province name

# Comparison
provincia1 == provincia2  # Compare by name and code
provincia == "Madrid"  # Compare with string (case-insensitive)
provincia1 < provincia2  # Compare alphabetically by name

PROVINCIA.from_title(title)

from bormeparser.provincia import PROVINCIA

# Access province properties
madrid = PROVINCIA.MADRID
print(madrid.name)  # "Madrid"
print(madrid.code)  # "28"
print(str(madrid))  # "Madrid"

# Using alternative names
alava = PROVINCIA.ARABA  # Same as PROVINCIA.ALAVA
print(alava.code)  # "01"

from bormeparser.provincia import PROVINCIA

# Object comparison
if PROVINCIA.MADRID == PROVINCIA.MADRID:
    print("Same province")

# String comparison (case-insensitive)
if PROVINCIA.MADRID == "madrid":
    print("Madrid province")

if PROVINCIA.BARCELONA == "BARCELONA":
    print("Barcelona province")

# Alphabetical ordering
provinces = [PROVINCIA.MADRID, PROVINCIA.BARCELONA, PROVINCIA.ALAVA]
provinces.sort()
for p in provinces:
    print(p.name)
# Output:
# Álava
# Barcelona
# Madrid

from bormeparser import download_pdfs
from bormeparser.provincia import PROVINCIA
import datetime

# Download all BORMEs for Madrid
date = datetime.date(2024, 1, 15)
success, files = download_pdfs(
    date=date,
    path="./borme_files",
    provincia=PROVINCIA.MADRID
)

print(f"Downloaded {len(files)} files for Madrid")

# Download for multiple provinces
for provincia in [PROVINCIA.MADRID, PROVINCIA.BARCELONA, PROVINCIA.VALENCIA]:
    success, files = download_pdfs(
        date=date,
        path=f"./borme_{provincia.code}",
        provincia=provincia
    )
    print(f"{provincia.name}: {len(files)} files")

from bormeparser import Borme
from bormeparser.provincia import PROVINCIA

# Parse BORME file
borme = Borme.from_json('borme-2024-01-15.json')

# Filter companies from specific provinces
madrid_companies = []
for company in borme.get_companies():
    if company.provincia == PROVINCIA.MADRID:
        madrid_companies.append(company)

print(f"Found {len(madrid_companies)} companies in Madrid")

# Count companies by province
from collections import Counter

province_counts = Counter(
    company.provincia for company in borme.get_companies()
)

for provincia, count in province_counts.most_common(5):
    print(f"{provincia.name}: {count} companies")

from bormeparser.provincia import ALL_PROVINCIAS, PROVINCIA

# Get list of all province names
print(f"Total provinces: {len(ALL_PROVINCIAS)}")
print(ALL_PROVINCIAS[:5])
# ['ALAVA', 'ALBACETE', 'ALICANTE', 'ALMERIA', 'AVILA']

# Access all province objects
for provincia_name in ALL_PROVINCIAS:
    provincia = getattr(PROVINCIA, provincia_name)
    print(f"{provincia.code}: {provincia.name}")

from bormeparser import download_pdfs, Borme
from bormeparser.provincia import PROVINCIA, ALL_PROVINCIAS
from bormeparser.acto import ACTO
import datetime

# Download BORMEs for all provinces in a specific region
catalonia_provinces = [
    PROVINCIA.BARCELONA,
    PROVINCIA.GERONA,
    PROVINCIA.LERIDA,
    PROVINCIA.TARRAGONA
]

date = datetime.date(2024, 1, 15)

for provincia in catalonia_provinces:
    print(f"\nProcessing {provincia.name}...")
    
    success, files = download_pdfs(
        date=date,
        path=f"./catalonia/{provincia.code}",
        provincia=provincia
    )
    
    print(f"Downloaded {len(files)} files")
    
    # Parse and analyze
    for file in files:
        borme = Borme.from_file(file)
        
        # Count formations
        formations = sum(
            1 for company in borme.get_companies()
            if ACTO.CONSTITUCION in company.get_acts()
        )
        
        print(f"  {formations} new companies formed")