Update query.py
Browse files
query.py
CHANGED
@@ -13,6 +13,7 @@ class VectaraQuery():
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self.customer_id = customer_id
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self.corpus_ids = corpus_ids
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self.api_key = api_key
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def submit_query(self, query_str: str):
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corpora_key_list = [{
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@@ -38,15 +39,19 @@ class VectaraQuery():
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'numResults': 7,
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'corpusKey': corpora_key_list,
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'context_config': {
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'sentences_before':
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'sentences_after':
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'start_tag': start_tag,
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'end_tag': end_tag,
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},
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'summary': [
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{
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'responseLang': 'eng',
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'maxSummarizedResults':
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}
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]
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}
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@@ -63,6 +68,7 @@ class VectaraQuery():
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summary = res['responseSet'][0]['summary'][0]['text']
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responses = res['responseSet'][0]['response']
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docs = res['responseSet'][0]['document']
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pattern = r'\[\d{1,2}\]'
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matches = [match.span() for match in re.finditer(pattern, summary)]
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@@ -89,4 +95,5 @@ class VectaraQuery():
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url = f"{metadata['url']}#:~:text={quote(text)}"
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citation_inx = refs_dict[url]
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summary = summary[:start] + f'[\[{citation_inx}\]]({url})' + summary[end:]
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return summary
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self.customer_id = customer_id
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self.corpus_ids = corpus_ids
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self.api_key = api_key
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self.conv_id = None
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def submit_query(self, query_str: str):
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corpora_key_list = [{
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'numResults': 7,
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'corpusKey': corpora_key_list,
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'context_config': {
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'sentences_before': 2,
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'sentences_after': 2,
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'start_tag': start_tag,
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'end_tag': end_tag,
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},
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'summary': [
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{
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'responseLang': 'eng',
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'maxSummarizedResults': 5,
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'chat': {
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'store': True,
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'conversationId': self.conv_id
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}
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}
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]
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}
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summary = res['responseSet'][0]['summary'][0]['text']
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responses = res['responseSet'][0]['response']
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docs = res['responseSet'][0]['document']
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self.conv_id = summary[0]['chat']['conversationId']
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pattern = r'\[\d{1,2}\]'
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matches = [match.span() for match in re.finditer(pattern, summary)]
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url = f"{metadata['url']}#:~:text={quote(text)}"
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citation_inx = refs_dict[url]
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summary = summary[:start] + f'[\[{citation_inx}\]]({url})' + summary[end:]
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return summary
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