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Merge pull request #42 from fccoelho/vaccine_data
Vaccine data
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""" | ||
Download of vacination data. | ||
This module contains function to download from specific campains: | ||
- COVID-19 in 2020-2021 Downloaded as described [here](http://opendatasus.saude.gov.br/dataset/b772ee55-07cd-44d8-958f-b12edd004e0b/resource/5916b3a4-81e7-4ad5-adb6-b884ff198dc1/download/manual_api_vacina_covid-19.pdf) | ||
""" | ||
import pandas as pd | ||
from pysus.online_data import CACHEPATH | ||
from elasticsearch import Elasticsearch | ||
import elasticsearch.helpers | ||
import requests | ||
from requests.auth import HTTPBasicAuth | ||
import os | ||
import time | ||
from json import JSONDecodeError | ||
import json | ||
from datetime import date | ||
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def download_covid(uf=None): | ||
""" | ||
Download covid vaccination data for a give UF | ||
:param uf: 'RJ' | 'SP', etc. | ||
:return: dataframe iterator as returned by pandas `read_csv('Vaccine_temp_<uf>.csv.gz', chunksize=5000)` | ||
""" | ||
user = 'imunizacao_public' | ||
pwd = 'qlto5t&7r_@+#Tlstigi' | ||
index = "desc-imunizacao" | ||
url = f"https://imunizacao-es.saude.gov.br/_search?scroll=1m" | ||
if uf is None: | ||
query = {"query": {"match_all": {}}, | ||
"size": 10000} | ||
else: | ||
UF = uf.upper() | ||
query = {"query": {"match": {"paciente_endereco_uf": UF}}, | ||
"size": 10000 | ||
} | ||
# es = Elasticsearch([url], send_get_body_as='POST', headers=) | ||
auth = HTTPBasicAuth(user, pwd) | ||
data_gen = elasticsearch_fetch(url, auth, query) | ||
tempfile = os.path.join(CACHEPATH, f'Vaccine_temp_{UF}.csv.gz') | ||
h = 1 | ||
for dt in data_gen: | ||
df = pd.DataFrame(dt) | ||
if h: | ||
df.to_csv(tempfile) | ||
h = 0 | ||
else: | ||
df.to_csv(tempfile, mode='a', header=False) | ||
df = pd.read_csv(tempfile, chunk_size=5000) | ||
return df | ||
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def elasticsearch_fetch(uri, auth, json_body={}): | ||
headers = { | ||
'Content-Type': 'application/json', | ||
} | ||
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scroll_id = '' | ||
total = 0 | ||
while True: | ||
if scroll_id: | ||
uri = "https://imunizacao-es.saude.gov.br/_search/scroll" | ||
json_body['scroll_id'] = scroll_id | ||
json_body['scroll'] = '1m' | ||
if 'query' in json_body: | ||
del json_body['query'] # for the continuation of the download, query parameter is not allowed | ||
del json_body['size'] | ||
try: | ||
response = requests.post(uri, auth=auth, headers=headers, json=json_body) | ||
text = response.text | ||
try: | ||
resp = json.loads(text) | ||
except JSONDecodeError: | ||
resp = text | ||
except Exception as error: | ||
print('\nelasticsearch_fetch() error:', error) | ||
raise error | ||
try: | ||
if resp['hits']['hits'] == []: | ||
break | ||
except KeyError: | ||
print(resp) | ||
total += len(resp['hits']['hits']) | ||
print(f"Downloaded {total} records\r", end='') | ||
# print(resp) | ||
# print(uri) | ||
yield [h['_source'] for h in resp['hits']['hits']] | ||
if '_scroll_id' in resp: | ||
scroll_id = resp['_scroll_id'] | ||
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if __name__ == "__main__": | ||
print(download_covid('ba')) |