72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
import sqlite3
|
|
import os
|
|
import json
|
|
from .model import Commune,FantoirVoie
|
|
|
|
# DB with addresses info
|
|
DB_ADDRESSES_PATH_ENV="DB_ADDRESSES_PATH"
|
|
DB_ADDRESSES_DEFAULT_PATH="/etc/fantoir.sqlite"
|
|
|
|
# Table for insee codes
|
|
DB_TABLE_INSEE_NAME="insee"
|
|
DB_COL_COMMUNE_INSEE="Code_commune_INSEE"
|
|
DB_COL_COMMUNE_NAME="Nom_commune"
|
|
DB_COL_COMMUNE_POSTE="Code_postal"
|
|
|
|
# Table for Fantoir voies (code Rivoli)
|
|
DB_TABLE_FANTOIR_NAME="keyv"
|
|
DB_COL_FANTOIR_INSEE="key"
|
|
DB_FANTOIR_INSEE_KEY_SUFFIX="keyv:"
|
|
|
|
# Utility to find an address
|
|
class AddressFinder:
|
|
|
|
def __init__(self, db_addresses_sqlite_path: str):
|
|
self.dbPath = db_addresses_sqlite_path
|
|
print("DB addresses Path : " + self.dbPath)
|
|
|
|
def getCommunesFromNameOrZipJson(self, communeNameOrZip: str) -> list[Commune]:
|
|
con = sqlite3.connect(self.dbPath)
|
|
con.row_factory = sqlite3.Row
|
|
cur = con.cursor()
|
|
communes: list[Commune] = []
|
|
if communeNameOrZip is None:
|
|
cur.execute(f"SELECT * from \"{DB_TABLE_INSEE_NAME}\"")
|
|
else:
|
|
cur.execute(f"SELECT * from \"{DB_TABLE_INSEE_NAME}\" WHERE {DB_COL_COMMUNE_NAME}=\"{communeNameOrZip}\" COLLATE nocase OR {DB_COL_COMMUNE_POSTE}=\"{communeNameOrZip}\"")
|
|
rows = [dict(row) for row in cur.fetchall()]
|
|
con.close()
|
|
for row in rows:
|
|
commune=Commune(
|
|
codeInsee=row[DB_COL_COMMUNE_INSEE],
|
|
nom=row[DB_COL_COMMUNE_NAME],
|
|
codeZip=row[DB_COL_COMMUNE_POSTE])
|
|
communes.append(commune)
|
|
return communes
|
|
|
|
def getCommuneFantoirVoiesJson(self, communeInseeCode: str) -> list[FantoirVoie]:
|
|
|
|
# Extract data from DB
|
|
con = sqlite3.connect(self.dbPath)
|
|
con.row_factory = sqlite3.Row
|
|
cur = con.cursor()
|
|
cur.execute(f"SELECT value from \"{DB_TABLE_FANTOIR_NAME}\" WHERE {DB_COL_FANTOIR_INSEE}=\"{DB_FANTOIR_INSEE_KEY_SUFFIX}{communeInseeCode}\"")
|
|
data_raw = cur.fetchone()
|
|
con.close()
|
|
|
|
## Get JSON payload
|
|
|
|
fantoir_dict = []
|
|
# Check if data where found
|
|
if data_raw is not None:
|
|
data = dict(data_raw)
|
|
# Extract the data behind "value" which is a JSON structure
|
|
data_dict=json.loads(data.get("value"))
|
|
# In extracted JSON data, the interesting payload is behind "value" key
|
|
fantoir_dict = data_dict.get("value")
|
|
else:
|
|
print("Did not found any data matching Insee code " + str(communeInseeCode))
|
|
|
|
# Return the json dump
|
|
return fantoir_dict
|