| import os |
| import json |
| import sys |
| |
| import requests |
| from requests import ConnectionError, HTTPError |
| |
| def bootstrap(): |
| asterix_host = "localhost" |
| asterix_port = 19002 |
| |
| # First, let's get the path to this script, we'll need it to configure the demo. |
| base = os.path.dirname(os.path.realpath(__file__)) |
| print "Running Black Cherry from",base |
| |
| # First, we bootstrap our request query |
| print "Preparing Dataset..." |
| query_statement = open("static/data/query.txt").read().split("load") |
| query_statement[1] = "load" + query_statement[1].replace("FULL_PATH",base + "/static/data") |
| |
| ddl = { |
| 'ddl': query_statement[0] |
| } |
| |
| load = { |
| "statements" : "use dataverse twitter; " + query_statement[1] |
| } |
| |
| http_header = { |
| 'content-type': 'application/json' |
| } |
| |
| # Now we run our query |
| print "Running query...\n" |
| |
| ddl_url = "http://" + asterix_host + ":" + str(asterix_port) + "/ddl" |
| update_url = "http://" + asterix_host + ":" + str(asterix_port) + "/update" |
| |
| try: |
| requests.get(ddl_url, params=ddl) |
| response = requests.get(update_url, params=load, headers=http_header) |
| except (ConnectionError, HTTPError): |
| print "Encountered connection error; stopping execution" |
| sys.exit(1) |
| |
| return True |