How to use set_section method in tox

Best Python code snippet using tox_python

neo4j_cypher.py

Source: neo4j_cypher.py Github

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1#this prefix code is required to connect to a neo4j database..... and then the actaul connection is done using Neo4jConnection(....)2from neo4j import __version__ as neo4j_version3from neo4j import GraphDatabase4class Neo4jConnection:5 6 def __init__(self, uri, user, pwd):7 self.__uri = uri8 self.__user = user9 self.__pwd = pwd10 self.__driver = None11 try:12 self.__driver = GraphDatabase.driver(self.__uri, auth=(self.__user, self.__pwd))13 except Exception as e:14 print("Failed to create the driver:", e)15 16 def close(self):17 if self.__driver is not None:18 self.__driver.close()19 20 def query(self, query, db=None):21 assert self.__driver is not None, "Driver not initialized!"22 session = None23 response = None24 try: 25 session = self.__driver.session(database=db) if db is not None else self.__driver.session() 26 response = list(session.run(query))27 except Exception as e:28 print("Query failed:", e)29 finally: 30 if session is not None:31 session.close()32 return response33conn = Neo4jConnection(uri="bolt:/​/​localhost:7687", user="USER1", pwd="password")34#from here you can start typing queries35import pandas as pd36import re37import numpy as np38df = pd.read_csv('Project0/​code/​neo4j_graph_database/​NIC.csv')39df = df.drop(["Unnamed: 4","Unnamed: 5","Unnamed: 6","Unnamed: 7","Unnamed: 8","Unnamed: 9","Unnamed: 10"],axis =1)40#The 41#conn.query("""Create(INDUSTRY:INDUSTRY {name:"Industry"})""")42conn.query("Match (N) DETACH DELETE N")43conn.query("""CREATE (INDUSTRIES_IN_INDIA:INDUSTRIES {name:"Industries In India"})""")44#section nodes45i=046queries = """ """47while i<len(df):48 if str(df.loc[i,"Group"]).startswith("SECTION"):49 temp_for_section =str(df.loc[i,"Group"])50 queries = queries + ("\nCREATE("+ temp_for_section[0:7]+"_"+temp_for_section[8] + ":SECTION {name:'"+ temp_for_section[11:] +"'})-[:SECTION_OF_INDUSTRY]->(INDUSTRIES_IN_INDIA)-[:SECTION_OF_INDUSTRY]->("+temp_for_section[0:7]+"_"+temp_for_section[8]+")")51 i=i+152#division nodes53i=054set_section=""55while i<len(df):56 57 if str(df.loc[i,"Group"]).startswith("SECTION"):58 temp_for_section =str(df.loc[i,"Group"])59 set_section=temp_for_section[0:7]+"_"+temp_for_section[8] 60 61 if str(df.loc[i,"Group"]).startswith("DiviSion"):62 temp_for_division =str(df.loc[i,"Group"])63 queries = queries + ("\nCREATE("+temp_for_division[0:8]+temp_for_division[9:11] +":DiviSion {name:'"+ temp_for_division[13:] +"'})-[:Division_under_section]->(" + set_section + ")-[:Division_under_section]->("+ temp_for_division[0:8]+temp_for_division[9:11] + ")")64 i=i+165i=066set_section=""67while i<len(df):68 69 70 if str(df.loc[i,"Group"]).startswith("DiviSion"):71 temp_for_section =str(df.loc[i,"Group"])72 set_section= temp_for_section[0:8]+temp_for_section[9:11] 73 74 75 76 if re.search("^[0-9]+$", str(df.loc[i,"Group"])) :77 #print(df.loc[i,"Group"])78 temp_for_division =str(df.loc[i,"Group"])79 queries = queries + ("\nCREATE(Group_"+temp_for_division+":Group {name:'" + str(df.loc[i,"Description"]) +"'})-[:Group]->(" + set_section + ")-[:Group]->(Group_"+temp_for_division+")")80 81 i=i+182i=083set_section=""84sum=085while i<len(df):86 87 try:88 if re.search("^[0-9]+$", str(df.loc[i,"Class"])) :89 temp_for_section ="Class_"+str(df.loc[i,"Class"])90 set_section= temp_for_section 91 #print(set_section)92 93 description=""" """94 95 96 97 if re.search("[0-9]+$", str(df.loc[i,"Sub-class"])) :98 temp_for_sub_class =str(df.loc[i,"Sub-class"])99 temp_for_sub_class=temp_for_sub_class[:-2]100 #print(temp_for_sub_class)101 102 j=i+1103 description=description = df.loc[i,"Description"]104 105 if str(df.loc[j,"Sub-class"])=="nan":106 while str(df.loc[j,"Sub-class"])=="nan" :107 #print(df.loc[j,"Description"])108 description = description+" "+ str(df.loc[j,"Description"])109 #print(description)110 j=j+1111 112 113 114 #print(description)115 queries = queries + ("\nCREATE(Subclass_"+temp_for_sub_class+":Subclass {name:'" + description+"'})-[:CLASS]->(" + set_section + ")-[:CLASS]->(Subclass_"+temp_for_sub_class+")")116 117 118 sum=sum+1119 i=i+1120 except:121 pass122 i=i+1123i=0124set_section=""125sum=0126while i<len(df):127 128 129 if re.search("^[0-9]+$", str(df.loc[i,"Group"])) :130 temp_for_section ="group_"+str(df.loc[i,"Group"])131 set_section= temp_for_section 132 #print(set_section)133 134 description=""" """135 136 137 138 if re.search("^[0-9]+$", str(df.loc[i,"Class"])) :139 temp_for_class =str(df.loc[i,"Class"])140 141 j=i142 while str(df.loc[j,"Sub-class"])=="nan" :143 #print(df.loc[j,"Description"])144 description = description+" " + str(df.loc[j,"Description"])145 #print(description)146 j=j+1147 148 sum=sum+1149 150 151 queries = queries + ("\nCREATE(Class_"+temp_for_class+":Class {name:'" + str(df.loc[i,"Description"])+"',Description :'"+description +"'})-[:Group]->(" + set_section + ")-[:Group]->(Class_"+temp_for_class+")")152 153 154 155 156 i=i+1157#print(queries)...

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s01e03.py

Source: s01e03.py Github

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...3FFMPEG_SOURCE = "ffmpeg_source"4logging.basicConfig(level=logging.INFO)5if __name__ == "__main__":6 with DevMattersShow() as show:7 show.set_section(8 title="DEV MATTERS",9 byline="Topic: Can dev productivity be measured?",10 guest_1_title="Dylan Etkin - Sleuth",11 )12 show.set_section(13 title="WAR STORIES",14 byline="When did it all go wrong?",15 b_roll="/​home/​mrdon/​Videos/​dev-matters-q1-broll.mp4",16 )17 show.set_section(18 title="METRICS: GOOD AND BAD",19 byline="What metrics to avoid? Any good ones?",20 )21 show.set_section(22 title="ACCELERATE METRICS",23 byline="What are they and why do they matter?",24 b_roll="/​home/​mrdon/​Videos/​dev-matters-q3-broll.mp4",...

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s01e01.py

Source: s01e01.py Github

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...3FFMPEG_SOURCE = "ffmpeg_source"4logging.basicConfig(level=logging.INFO)5if __name__ == "__main__":6 with DevMattersShow() as show:7 show.set_section(8 title="DEV MATTERS",9 byline="Topic: Can dev productivity be measured?",10 guest_1_title="Dylan Etkin - Sleuth",11 )12 show.set_section(13 title="WAR STORIES",14 byline="When did it all go wrong?",15 b_roll="/​home/​mrdon/​Videos/​dev-matters-q1-broll.mp4",16 )17 show.set_section(18 title="METRICS: GOOD AND BAD",19 byline="What metrics to avoid? Any good ones?",20 )21 show.set_section(22 title="ACCELERATE METRICS",23 byline="What are they and why do they matter?",24 b_roll="/​home/​mrdon/​Videos/​dev-matters-q3-broll.mp4",...

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