import blockspring
def block(request, response):
to_return = [[1],[2],[3],[4]]
local_change = 2
remote_change = 2
response.addOutput("array", to_return)
response.end()
blockspring.define(block)
/li/a/span[@class="text"]/text()'
url = ''.join(['http://www.thesaurus.com/browse/', word])
page = requests.get(url)
tree = html.fromstring(page.text)
word_info_map['antonyms'] = tree.xpath(XPATH)
# END RETRIEVAL AND INTEGRATION HELPER FUNCTIONS
# BEGIN CLIENT-FACING (API) FUNCTIONS
def block(request, response):
'''
Write information about the specified word (provided in "request")
to "response." "request" may also contain filters that specify which
information should/should not be included in the "response."
'''
# Collect all of the information for the specified word.
word_info = _get_info_from_merriam_webster(request)
_add_antonyms_from_thesaurus_com(request, word_info)
for info in word_info.keys():
response.addOutput(info, word_info[info])
response.end()
blockspring.define(block)
# END CLIENT-FACING (API) FUNCTIONS
columns = [first_key] + inner_keys['_holdings_']
#start building return array with column headers as first row
to_return = [columns]
#add a row for each holding
for date in results.keys():
holdings = results[date]['_holdings_']
for holding in holdings:
row = []
row.append(date)
#add date to first column in row
keys_to_check = columns[1:]
for key in keys_to_check:
if key in holding:
row.append(holding[key])
else:
row.append(0)
to_return.append(row)
response.addOutput("results", to_return)
## Return the response
response.end()
## Defining get_13f_data function for blockspring
blockspring.define(get_13f_data)
write_status = []
## Index each row as a document
for row in rows:
## Create a dictionary with the clean labels to index
doc = dict(zip(properties, row))
## Adding timestamp to the document
doc['indexed_at'] = str(int(datetime.now().strftime("%s")))
## Build the URL and index the dictionary as a JSON document in elasticsearch
url = address + '/' + index + '/' + datatype + '/'
json_doc = dumps(doc)
req = requests.post(url, json_doc)
## Keep track of which writes were sucessful
if req.ok == True:
write_status.append([url, json_doc, 'True'])
else:
write_status.append([url, json_doc, 'Fail'])
##Add array of statuses to response
response.addOutput("Indexed", write_status)
## Return the response
response.end()
## Defining write_to_es function for blockspring
blockspring.define(write_table_to_es)
columns = es_internal_stuff + fields_in_docs
results.append(columns)
for result in query_response["hits"]["hits"]:
row = []
for key in columns:
if key in set(es_internal_stuff):
row.append(result[key])
else:
if key in result["_source"]:
row.append(result["_source"][key])
else:
row.append(0)
results.append(row)
else:
results.append(["no hits"])
else:
results.append(["no hits"])
else:
results.append(["ERROR", req.reason])
##Add array of statuses to response
response.addOutput("results", results)
## Return the response
response.end()
## Defining write_to_es function for blockspring
blockspring.define(read_table_from_es)