Jorge Henao commited on
Commit
c27d381
·
1 Parent(s): 8087e34

cluster fix

Browse files
__pycache__/config.cpython-38.pyc CHANGED
Binary files a/__pycache__/config.cpython-38.pyc and b/__pycache__/config.cpython-38.pyc differ
 
__pycache__/document_quieries.cpython-38.pyc CHANGED
Binary files a/__pycache__/document_quieries.cpython-38.pyc and b/__pycache__/document_quieries.cpython-38.pyc differ
 
app.py CHANGED
@@ -21,7 +21,7 @@ def fake_search(question, retriever_top_k, reader_top_k):
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  return result
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  def search(question, retriever_top_k, reader_top_k):
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- query_result = extractive_query.search_by_query(query = question, retriever_top_k = retriever_top_k, reader_top_k = reader_top_k, es_index = "informecomisionverdad")
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  result = []
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  for i in range(0, len(query_result)):
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  item = query_result[i]
 
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  return result
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  def search(question, retriever_top_k, reader_top_k):
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+ query_result = extractive_query.search_by_query(query = question, retriever_top_k = retriever_top_k, reader_top_k = reader_top_k)
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  result = []
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  for i in range(0, len(query_result)):
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  item = query_result[i]
config.py CHANGED
@@ -1,7 +1,7 @@
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  class Config():
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- es_host = "3pvrzh9tl:4yl4vk9ijr@saimon-kb-5550035374.us-east-1.bonsaisearch.net"
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- es_user = "3pvrzh9tl"
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- es_password = "4yl4vk9ijr"
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  proposals_index = "informecomisionverdad"
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  reader_model_name_or_path = "deepset/xlm-roberta-base-squad2-distilled"
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  #reader_model_name_or_path = "deepset/xlm-roberta-base-squad2"
 
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  class Config():
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+ es_host = "saimon-askwdemocracy.es.us-central1.gcp.cloud.es.io"
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+ es_user = "elastic"
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+ es_password = "NY5Gqg83peXwagrfolBFUhhy"
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  proposals_index = "informecomisionverdad"
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  reader_model_name_or_path = "deepset/xlm-roberta-base-squad2-distilled"
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  #reader_model_name_or_path = "deepset/xlm-roberta-base-squad2"
document_quieries.py CHANGED
@@ -34,8 +34,8 @@ class ExtractiveProposalQueries(DocumentQueries):
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  def search_by_query(self, query : str, retriever_top_k: int, reader_top_k: int, es_index: str = None) :
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  self.log.write_log(query, "hfspace-informecomision")
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- if es_index is not None:
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- self._initialize_pipeline(self.es_host, es_index, self.es_user, self.es_password)
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  params = {"Retriever": {"top_k": retriever_top_k}, "Reader": {"top_k": reader_top_k}}
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  prediction = self.pipe.run( query = query, params = params)
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  return prediction["answers"]
@@ -44,7 +44,7 @@ class Log():
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  def __init__(self, es_host: str, es_index: str, es_user, es_password) -> None:
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  self.elastic_endpoint = f"https://{es_host}:443/{es_index}/_doc"
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- self.credentials = b64encode(b"elastic:Xmir2X1f5twb8OJbpjbiIgXt").decode("ascii")
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  self.auth_header = { 'Authorization' : 'Basic %s' % self.credentials }
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  def write_log(self, message: str, source: str) -> None:
 
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  def search_by_query(self, query : str, retriever_top_k: int, reader_top_k: int, es_index: str = None) :
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  self.log.write_log(query, "hfspace-informecomision")
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+ #if es_index is not None:
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+ #self._initialize_pipeline(self.es_host, es_index, self.es_user, self.es_password)
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  params = {"Retriever": {"top_k": retriever_top_k}, "Reader": {"top_k": reader_top_k}}
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  prediction = self.pipe.run( query = query, params = params)
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  return prediction["answers"]
 
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  def __init__(self, es_host: str, es_index: str, es_user, es_password) -> None:
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  self.elastic_endpoint = f"https://{es_host}:443/{es_index}/_doc"
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+ self.credentials = b64encode(b"3pvrzh9tl:4yl4vk9ijr").decode("ascii")
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  self.auth_header = { 'Authorization' : 'Basic %s' % self.credentials }
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  def write_log(self, message: str, source: str) -> None: