def get(self):
"""
"""
data = {"index": request.args.get('index')}
k = str(uuid.uuid4())
d = {"id": k, "params": data, "endpoint": "mappings"}
redis_store.rpush("triple", json.dumps(d))
result = get_key(redis_store, k)
headers = {"Content-Type": "application/json"}
return make_response(result, 200, headers)
def post(self):
params = request.get_json()
gsheets_ns.logger.debug(params)
k = str(uuid.uuid4())
d = {"id": k, "params": params, "endpoint": "create_kb"}
gsheets_ns.logger.debug(d)
redis_store.rpush("gsheets", json.dumps(d))
result = get_key(redis_store, k)
try:
headers = {}
headers["Content-Type"] = "application/json"
return make_response(result, 200, headers)
except Exception as e:
gsheets_ns.logger.error(e)
abort(500, "Problem encountered during processing, sorry.")
def post(self):
"""
"""
data = request.get_json()
triple_ns.logger.debug(data)
errors = search_param_schema.validate(data, partial=True)
triple_ns.logger.debug(errors)
if errors:
abort(400, str(errors))
k = str(uuid.uuid4())
d = {"id": k, "params": data, "endpoint": "search"}
triple_ns.logger.debug(d)
redis_store.rpush("triple", json.dumps(d))
result = get_key(redis_store, k)
try:
headers = {}
if request.headers["Accept"] == "application/json":
headers["Content-Type"] = "application/json"
if request.headers["Accept"] == "text/csv":
if data.get("raw") is True:
df = pd.DataFrame(
result.get('input_data').get('hits').get('hits'))
df = pd.concat([
df.drop(["_source"], axis=1), df["_source"].apply(
pd.Series)
],
axis=1)
result = df.to_csv()
else:
result = pd.read_json(json.loads(result)).to_csv()
headers["Content-Type"] = "text/csv"
headers[
"Content-Disposition"] = "attachment; filename={0}.csv".format(
k)
if data.get("raw") is True:
headers["Content-Type"] = "application/json"
return make_response(result, 200, headers)
except Exception as e:
triple_ns.logger.error(e)
abort(500, "Problem encountered, check logs.")
def post(self):
"""
"""
params = request.get_json()
pubmed_ns.logger.debug(params)
if "optradio" in params:
del params["optradio"]
errors = search_param_schema.validate(params, partial=True)
params["limit"] = 100
params["list_size"] = -1
pubmed_ns.logger.debug(errors)
if errors:
abort(400, str(errors))
k = str(uuid.uuid4())
d = {"id": k, "params": params, "endpoint": "search"}
pubmed_ns.logger.debug(d)
redis_store.rpush("pubmed", json.dumps(d))
result = get_key(redis_store, k)
try:
headers = {}
if request.headers["Accept"] == "application/json":
headers["Content-Type"] = "application/json"
if request.headers["Accept"] == "text/csv":
if params.get("raw") is True:
df = pd.read_json(json.loads(result))
result = df.to_csv()
else:
result = pd.read_json(json.loads(result)).to_csv()
headers["Content-Type"] = "text/csv"
headers[
"Content-Disposition"] = "attachment; filename={0}.csv".format(
k)
if params.get("raw") is True:
headers["Content-Type"] = "application/json"
return make_response(result, 200, headers)
except Exception as e:
pubmed_ns.logger.error(e)
abort(500, "Problem encountered, check logs.")