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scripts.py
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174 lines (141 loc) · 4.73 KB
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import pandas as pd
import csv
import json
from pathlib import Path
import requests
from phonenumber_field.phonenumber import PhoneNumber
SEPARATOR = "|"
TYPE = "@xsi:type"
TYPE_ADDRESSES = {
"email": "AdresseMail_Type",
"telephone": "AdresseTelephonique_Type",
"rs": "AdresseSiteWeb_Type",
}
def telecharger(url, path):
res = requests.get(url)
with path.open("wb") as fd:
fd.write(res.content)
def extraire_organes(dir, type):
files = dir.glob("PO*.json")
for f in files:
with f.open() as fd:
content = json.load(fd)["organe"]
if content["codeType"] == type:
yield content
def correspondances_groupes(dir):
return {
"groupes": {
groupe["uid"]: groupe["libelleAbrege"]
for groupe in extraire_organes(dir, "GP")
}
}
def correspondances_partis(dir):
return {
"partis": {
parti["uid"]: parti["libelleAbrev"]
for parti in extraire_organes(dir, "PARPOL")
}
}
def masser_fichier_deputes(
dir: Path,
dest: Path,
corr_groupes,
corr_partis,
complements_tel,
complements_twitter,
):
files = list(dir.glob("PA*.json"))
comp_tel = pd.read_csv(complements_tel, index_col="code", dtype={"telephones": str})
comp_twitter = pd.read_csv(complements_twitter, index_col="code")
with dest.open("w") as fd_out:
w = csv.DictWriter(
fd_out,
fieldnames=[
"code",
"nom",
"prenom",
"genre",
"groupe",
"parti",
"emails",
"telephones",
"twitter",
"facebook",
"departement",
"circo",
],
)
w.writeheader()
for file in files:
code = file.stem
with file.open() as f:
content = json.load(f)["acteur"]
mandat = next(
m
for m in content["mandats"]["mandat"]
if m[TYPE] == "MandatParlementaire_type"
and m["infosQualite"]["codeQualite"] == "membre"
)
if mandat["dateFin"] is not None:
pass
ident = content["etatCivil"]["ident"]
nom = ident["nom"]
prenom = ident["prenom"]
genre = "M" if ident["civ"] == "M." else "F"
adresses = content["adresses"]["adresse"]
if not isinstance(adresses, list):
adresses = [adresses]
emails = "|".join(
a["valElec"] for a in adresses if a[TYPE] == TYPE_ADDRESSES["email"]
)
telephones = {
PhoneNumber.from_string(a["valElec"], region="FR").as_e164
for a in adresses
if a[TYPE] == TYPE_ADDRESSES["telephone"]
}
if code in comp_tel.index:
telephones.update(comp_tel.loc[code, "telephones"].split("|"))
telephones = "|".join(telephones)
twitter = {
a["valElec"].strip("@")
for a in adresses
if a[TYPE] == TYPE_ADDRESSES["rs"] and a["typeLibelle"] == "Twitter"
}
if code in comp_twitter.index:
twitter.update(comp_twitter.loc[code, "twitter"].split("|"))
twitter = "|".join(twitter)
facebook = "|".join(
a["valElec"]
for a in adresses
if a[TYPE] == TYPE_ADDRESSES["rs"] and a["typeLibelle"] == "Facebook"
)
groupe = next(
corr_groupes[m["organes"]["organeRef"]]
for m in content["mandats"]["mandat"]
if m["typeOrgane"] == "GP" and m["dateFin"] is None
)
try:
parti = next(
corr_partis[m["organes"]["organeRef"]]
for m in content["mandats"]["mandat"]
if m["typeOrgane"] == "PARPOL" and m["dateFin"] is None
)
except StopIteration:
parti = None
info_circo = mandat["election"]["lieu"]
w.writerow(
{
"code": code,
"nom": nom,
"prenom": prenom,
"genre": genre,
"groupe": groupe,
"parti": parti,
"emails": emails,
"telephones": telephones,
"twitter": twitter,
"facebook": facebook,
"departement": info_circo["numDepartement"],
"circo": info_circo["numCirco"],
}
)