Adapt backend to new fantoir data schema
We updated the fantoir DB schema. See https://git.alternativebit.fr/NinjaTrappeur/fast-fantoir/src/branch/master for more informations.
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4 changed files with 59 additions and 50 deletions
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@ -45,3 +45,9 @@ curl -v http://127.0.0.1:5000/addresses/communes?s=29530
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# Chercher les voies d'une commune via son code insee
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curl -v http://127.0.0.1:5000/addresses/fantoirvoies/29036
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```
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### Jeux de données
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#### Insee
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Importez ce CSV https://www.data.gouv.fr/fr/datasets/base-officielle-des-codes-postaux/ dans la base de données
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@ -85,15 +85,13 @@ class AddressFinder:
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cur = con.cursor()
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try:
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cur.execute(
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f"SELECT value from \"{DB_TABLE_FANTOIR_NAME}\" WHERE {DB_COL_FANTOIR_INSEE}=\"{DB_FANTOIR_INSEE_KEY_SUFFIX}{communeInseeCode}\"")
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f"SELECT trim(libelle), rivoli_with_key from fantoir WHERE full_insee=\"{communeInseeCode}\" AND libelle like \"%{voieSearch}%\"")
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except sqlite3.OperationalError as err:
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print("Error querying DB : {0}".format(err), file=sys.stderr)
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return []
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data_raw = cur.fetchone()
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data_raw = cur.fetchall()
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con.close()
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# Get JSON payload
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# Check if a search limit is specified, make sure it is an integer
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if limit is not None:
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try:
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@ -104,33 +102,7 @@ class AddressFinder:
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fantoir_dict = []
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# Check if data where found
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if data_raw is not None:
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data = dict(data_raw)
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# Extract the data behind "value" which is a JSON structure
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data_dict = json.loads(data.get("value"))
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# In extracted JSON data, the interesting payload is behind "value" key
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fantoir_dict = data_dict.get("value")
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# Apply search filter if any
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if voieSearch is not None:
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# Can match multiple words, for example "avenue noe" matches "avenue de noes"
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regexSearch = r".*"
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for expr in voieSearch.split(' '):
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regexSearch += r"(?=" + expr + r").*"
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regexSearch += r".*"
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fantoir_voies_filtered = []
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nb_match = 0
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for voie in fantoir_dict:
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for libelle in voie['libelle']:
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if re.search(regexSearch, libelle, re.IGNORECASE):
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fantoir_voies_filtered.append(voie)
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nb_match += 1
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break
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if limit is not None and nb_match >= limit:
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break
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fantoir_dict = fantoir_voies_filtered
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else:
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# Apply search limit if any
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fantoir_dict = fantoir_dict[:limit]
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fantoir_dict = dict(data_raw)
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else:
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print("Did not found any data matching Insee code " +
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str(communeInseeCode))
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29
scripts/import-laposte-insee.sh
Executable file
29
scripts/import-laposte-insee.sh
Executable file
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@ -0,0 +1,29 @@
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#!/usr/bin/env bash
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set -eau -o pipefail
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if [ "$#" -ne 2 ]; then
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echo "Usage: import-laposte-insee.sh path-to-laposte-insee-CSV fantoir-sqlite-db-path"
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echo ""
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echo "ERROR: Missing laposte CSV."
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echo "You can download it at https://www.data.gouv.fr/fr/datasets/base-officielle-des-codes-postaux/"
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exit 1
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fi
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tmpDir=$(mktemp -d)
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clean_tmp () {
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rm -r "${tmpDir}"
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}
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trap clean_tmp EXIT
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tmpSql="${tmpDir}"/import-laposte-hexasmal.sql
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echo "Importing laposte/insee hexasmal data into the fantoir db."
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cat >"${tmpSql}" <<EOF
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.separator ";"
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.import $1 insee
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EOF
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sqlite3 "${2}" < "${tmpSql}"
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echo "Data imported"
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@ -127,11 +127,13 @@
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success: function (data, status, xhr) {
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if (JSON.stringify(data) !== JSON.stringify(voies)){
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$("#voies").empty();
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voies=data
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voies.forEach(voie => {
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$("#voies").append("<option id=" + voie.id + " value='" +
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voie.libelle[0] + "'></option>");
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});
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voies=Object.entries(data);
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let voie;
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for (i in voies) {
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voie = voies[i]
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$("#voies").append("<option id=" + voie[1] + " value='" +
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voie[0] + "'></option>");
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}
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if (voies.length == 1) {
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$('#btnTestAdresse').collapse('show');
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voie=voies[0].libelle[0]
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