axione-elig-test/address_finder/api.py

import sqlite3
import sys
import json
from .model import Commune, FantoirVoie
import re

# 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"

# Utility to find an address
class AddressFinder:

    def __init__(self, db_insee_communes_sqlite_path: str, db_fantoir_voies_sqlite_path: str):
        self.dbCommunesPath = db_insee_communes_sqlite_path
        self.dbFantoirPath = db_fantoir_voies_sqlite_path
        print("DB insee communes Path : " + self.dbCommunesPath)
        print("DB Fantoir voies Path : " + self.dbFantoirPath)

    def getCommunesFromNameOrZip(self, communeNameOrZip: str, limit: int = None) -> list[Commune]:
        con = sqlite3.connect(self.dbCommunesPath)
        con.row_factory = sqlite3.Row
        cur = con.cursor()

        # Check if a search limit is specified, make sure it is an integer
        select_limit = ""
        if limit is not None:
            try:
                select_limit = f"LIMIT {int(limit)}"
            except ValueError:
                print("Error, limit arg not a valid int: ", limit)

        try:
            # If no search parameter, select all
            if communeNameOrZip is None:
                cur.execute(
                    f"SELECT * from \"{DB_TABLE_INSEE_NAME}\" {select_limit}")
            else:
                communeSearch = communeNameOrZip
                zipSearch = communeNameOrZip
                searchOpertor = "OR"

                # Allow search zip and commune at the same time, in the format "29530 PLO"
                regexCommuneAndZip = r"[0-9]{5} .+"
                if re.match(regexCommuneAndZip, communeNameOrZip):
                    splitSearch = communeNameOrZip.split(' ')
                    zipSearch = splitSearch[0]
                    communeSearch = ' '.join(splitSearch[1:])
                    searchOpertor = "AND"
                cur.execute(
                    f"SELECT * from \"{DB_TABLE_INSEE_NAME}\" WHERE {DB_COL_COMMUNE_NAME} LIKE \"%{communeSearch}%\" COLLATE nocase {searchOpertor} {DB_COL_COMMUNE_POSTE} LIKE \"{zipSearch}%\" {select_limit}")
        except sqlite3.OperationalError as err:
            print("Error querying DB : {0}".format(err), file=sys.stderr)
            return []

        communesMap = dict()
        for row in cur.fetchall():
            row_obj = dict(row)
            commune = Commune(
                codeInsee=row_obj[DB_COL_COMMUNE_INSEE],
                nom=row_obj[DB_COL_COMMUNE_NAME],
                codeZip=row_obj[DB_COL_COMMUNE_POSTE])
            # This way we avoid duplicates in DB
            communesMap[commune["codeInsee"]] = commune

        con.close()
        return list(communesMap.values())

    def getCommuneFantoirVoies(self, communeInseeCode: str, voieSearch: str = None, limit: int = None) -> list[FantoirVoie]:

        # Extract data from DB
        con = sqlite3.connect(self.dbFantoirPath)
        con.row_factory = sqlite3.Row
        cur = con.cursor()
        if voieSearch is None:
          voieSearch=''

        # Check if a search limit is specified, make sure it is an integer
        select_limit = ""
        if limit is not None:
            try:
                select_limit = f"LIMIT {int(limit)}"
            except ValueError:
                print("Error, limit arg not a valid int: ", limit)

        try:
            cur.execute(
                f"SELECT trim(libelle), rivoli_with_key from fantoir WHERE full_insee=\"{communeInseeCode}\" AND libelle like \"%{voieSearch}%\" {select_limit}")
        except sqlite3.OperationalError as err:
            print("Error querying DB : {0}".format(err), file=sys.stderr)
            return []
        data_raw = cur.fetchall()
        con.close()

        fantoir_dict = []
        # Check if data where found
        if data_raw is not None:
            fantoir_dict = dict(data_raw)
        else:
            print("Did not found any data matching Insee code " +
                  str(communeInseeCode))

        # Return the json dump
        return fantoir_dict