How to use set_section method in tox

Best Python code snippet using tox_python

neo4j_cypher.py

Source:neo4j_cypher.py

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)...

s01e03.py

Source:s01e03.py

...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",...

s01e01.py

Source:s01e01.py

...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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