Update app.py
Browse files
app.py
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@@ -30,7 +30,6 @@ Our main method first asks the user for their openai key. Then we have some test
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#imports
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import pandas as pd
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from textblob import TextBlob
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import spacy
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import tensorflow_hub as hub
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from scipy.spatial import distance
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@@ -51,11 +50,6 @@ customer = pd.read_csv('customer_data.csv')
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order = pd.read_csv('order_data.csv')
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service = pd.read_csv('cust_service_data.csv')
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"""# Spelling correction"""
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def correctSpelling(sentence):
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return str(TextBlob(sentence).correct())
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"""# Entity Extraction"""
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# extract entities, label, label definition from natural language questions and append to dataframe
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@@ -144,97 +138,6 @@ def query_to_SQL_to_MongoDB(query, key, organization):
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SQL = response['choices'][0]['text'] # extract the outputted SQL Query
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return complex_SQL_to_MongoDB(SQL)
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#Example:
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'''
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db.Customer.aggregate(
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{
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$lookup:
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{
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from: "Orders",
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localField: "cust_id",
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foreignField: "cust_id",
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as: "Customer"
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}
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},
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{
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$group:
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{
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_id: "cust_name",
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count: {$count : {}}
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}
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},
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{
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$sort:{count : -1}
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},
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{
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$limit: 1
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}
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)
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'''
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'''
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db.Customer.aggregate(
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{
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$lookup:
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{
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from : "Orders",
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localField: "cust_id",
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foreignField: "cust_id",
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as: "Customer"
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}
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},
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{
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$lookup:
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{
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from : "Driver",
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localField: "driver_id",
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foreignField: "driver_id",
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as: "Customer"
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}
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},
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{
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$match:
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{
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$group:
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{
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_id: "c.cust_name",
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count: {$count: {order_id}
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}
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}
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},
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{
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$sort: {count : -1}
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},
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{ $limit : 1 }
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)
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'''
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keywords = {'INNER', 'FROM', 'WHERE', 'GROUP', 'BY', 'ON', 'SELECT', 'BETWEEN', 'LIMIT', 'AND', 'ORDER'}
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#imports
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import pandas as pd
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import spacy
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import tensorflow_hub as hub
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from scipy.spatial import distance
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order = pd.read_csv('order_data.csv')
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service = pd.read_csv('cust_service_data.csv')
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"""# Entity Extraction"""
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# extract entities, label, label definition from natural language questions and append to dataframe
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SQL = response['choices'][0]['text'] # extract the outputted SQL Query
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return complex_SQL_to_MongoDB(SQL)
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keywords = {'INNER', 'FROM', 'WHERE', 'GROUP', 'BY', 'ON', 'SELECT', 'BETWEEN', 'LIMIT', 'AND', 'ORDER'}
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