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dose_finder_part.py
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dose_finder_part.py
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print("---------")
from selenium.webdriver import Firefox
from selenium.webdriver import ActionChains
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support.select import Select
import time
import requests
import pandas as pd
import json
from datetime import datetime
from datetime import timedelta
import sys
import locale
import numpy as np
try:
locale.setlocale(locale.LC_TIME, "fr_FR")
except:
print("Error locale")
pass
def search_slot(url):
opts = Options()
opts.headless = True
browser = Firefox(options=opts)
browser.get(url)
browser.implicitly_wait(1)
# Bouton Cookies
btn = browser.find_elements_by_xpath("//button[contains(.,'Accepter & Fermer')]")
btn[0].click()
# Sélectionner motif
select_element = browser.find_element_by_id("booking_motive")
select_object = (Select(select_element))
text_select = select_object.options[1].text
select_object.select_by_visible_text(text_select)
time.sleep(1)
# Bouton prochaines dispos
try:
btn = browser.find_elements_by_xpath("//button[contains(.,'Prochain RDV')]")
btn[0].click()
except:
print("Pas de bouton Prochain RDV")
time.sleep(0)
# Premier slot dispo
slots = browser.find_elements_by_class_name("availabilities-slot")
slot = slots[0].get_attribute("title")
browser.close()
return slot
def fetch_centres():
url = "https://www.data.gouv.fr/fr/datasets/r/5cb21a85-b0b0-4a65-a249-806a040ec372"
data = requests.get(url)
with open('data/input/centres-vaccination.csv', 'wb') as f:
f.write(data.content)
def import_last_metadata(dep_min):
try:
with open("data/output/temp/metadata{}.json".format(dep_min), "r") as f:
dict_json = json.load(f)
except:
print("Metada not found. Starting from empty dict.")
dict_json = {"last_dep_updated": "no"}
if(len(dict_json)==0):
dict_json = {"last_dep_updated": "no"}
return dict_json
def sort_data(slots, noms, urls):
#slots_datetime = [datetime.strptime(date[:-6] + " 2021", "%a. %d %b. %Y") for date in slots]
print(datetime.now().strftime("%a %d %b. %Y"))
#idx = np.argsort(slots_datetime)
#slots = list(np.array(slots)[idx])
#noms = list(np.array(noms)[idx])
#urls = list(np.array(urls)[idx])
return slots, noms, urls
def export_data(dep, slots, urls, noms, departements, departements_noms, dep_min, noms_pas_de_rdv, urls_pas_de_rdv, noms_autres, urls_autres):
dict_json = {}
slots, noms, urls = sort_data(slots, noms, urls)
dict_json = {"slots": slots, "urls": urls, "noms": noms, "scan_time": (datetime.now() + timedelta(seconds=2*3600)).strftime("%d/%m/%Y à %Hh%M"),\
"urls_pas_de_rdv": urls_pas_de_rdv, "noms_pas_de_rdv": noms_pas_de_rdv,\
"urls_autres": urls_autres, "noms_autres": noms_autres}
dict_json["last_dep_updated"] = dep
with open("data/output/temp/{}.json".format(dep), "w+") as outfile:
outfile.write(json.dumps(dict_json))
dict_metadata = {"last_dep_updated": dep}
with open("data/output/temp/metadata{}.json".format(dep_min), "w+") as outfile:
outfile.write(json.dumps(dict_metadata))
def get_last_updated_dep(dep_min):
dict_json = import_last_metadata(dep_min)
return dict_json["last_dep_updated"]
def import_departements():
df = pd.read_csv('data/input/departements-france.csv')
return df.code_departement.astype(str).to_list(), df.nom_departement.astype(str).to_list()
def main():
dep_min = int(sys.argv[1])
dep_max = int(sys.argv[2])
print("Starting...")
fetch_centres()
print("Centres fetched")
df = pd.read_csv('data/input/centres-vaccination.csv', sep=";", dtype={'com_cp': 'object'})
df["com_cp"] = df["com_cp"].astype("str")
departements_all, departements_noms = import_departements()
departements = departements_all[max(0, dep_min) : min(len(departements_all)-1, dep_max)]
print("departements", departements)
last_updated_dep = get_last_updated_dep(dep_min)
print("last_updated_dep", last_updated_dep)
if(last_updated_dep=="no"):
print("if1")
id_last_updated = dep_min
else:
print("else")
print("index", departements_all.index(last_updated_dep))
id_last_updated = departements_all.index(last_updated_dep) + 1
if(id_last_updated > dep_max):
print("if2")
id_last_updated = dep_min
print("id_last_updated", id_last_updated)
for dep in [departements_all[id_last_updated]]:
print("DEP ======", dep)
df_dep_all = df[df.com_cp.str.match(r'(^{}.*)'.format(dep))==True]
df_dep = df_dep_all[df_dep_all.rdv_site_web.str.match(r'(.*doctolib.*)')==True]
print("nb centres :", len(df_dep))
slots=[]
urls=[]
noms=[]
noms_pas_de_rdv = []
urls_pas_de_rdv = []
for (idx, url) in enumerate(df_dep["rdv_site_web"].values):
print("Centre n°", idx)
try:
slot = search_slot(url)
slots += [slot]
urls += [url]
noms += [df_dep["nom"].values[idx]]
print(slot)
except:
noms_pas_de_rdv += [df_dep["nom"].values[idx]]
urls_pas_de_rdv += [url]
print("not found")
df_dep_liens_autre = df_dep_all[~df_dep_all.rdv_site_web.isna()]
df_dep_liens_autre = df_dep_liens_autre[df_dep_liens_autre.rdv_site_web.str.match(r'(.*doctolib.*)')==False]
noms_autres, urls_autres = df_dep_liens_autre.nom.tolist(), df_dep_liens_autre.rdv_site_web.tolist()
export_data(dep, slots, urls, noms, departements, departements_noms, dep_min, noms_pas_de_rdv, urls_pas_de_rdv, noms_autres, urls_autres)
main()