From 68903b5ce76b659f75243f85ef9f853c597b7e4f Mon Sep 17 00:00:00 2001 From: Delta-Sierra Date: Tue, 31 Oct 2023 11:40:20 +0100 Subject: [PATCH] add naics generation script --- tools/generate_naics_clusters.py | 101 +++++++++++++++++++++++++++++++ 1 file changed, 101 insertions(+) create mode 100644 tools/generate_naics_clusters.py diff --git a/tools/generate_naics_clusters.py b/tools/generate_naics_clusters.py new file mode 100644 index 0000000..9f488e1 --- /dev/null +++ b/tools/generate_naics_clusters.py @@ -0,0 +1,101 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +#Used to generate naics galaxy clusters; takes naics.csv as entry +#naics.csv is extract from [2022]_NAICS_Structure.xlsx and only uses the 2022 NAICS Code and 2022 NAICS Title columns, without title. +#Note 1 : This only generate the file for the "clusters" folder +#Note 2 : The generated file needs to pass the jq_all_the_thigs.sh script to be in the corresponding information +#Note 3 : New uuids are generated on every run + +import json +import csv +import uuid + +galaxy={} +galaxy['description']="The North American Industry Classification System or NAICS is a classification of business establishments by type of economic activity (the process of production)." +galaxy['name']="NAICS" +galaxy['source']="North American Industry Classification System - NAICS" +galaxy['type']="naics" +galaxy['uuid']="b73ecad4-6529-4625-8c4f-ee3ef703a72a" +galaxy['version']=2022 #Change when updating +galaxy['authors']=[] +galaxy['authors'].append("Executive Office of the President Office of Management and Budget") +galaxy['category']="sector" + +values = [] + +with open('naics.csv', newline='') as csvfile: + reader = csv.reader(csvfile, delimiter=',', quotechar='"') + for row in reader: + #Cluster creation + cluster = {} + cluster['value']=row[0] + cluster['description']=row[1].strip() + cluster['uuid']=str(uuid.uuid4()) + cluster['related']=[] + + values.append(cluster) + + #Relationsship preparation (Yes it's crappy but at least it works as intended ¯\_(ツ)_/¯) + relationparent={} + relationparent['tags']=[] + relationparent['tags'].append("estimative-language:likelihood-probability=\"likely\"") + relationparent['type']="parent-of" + + relationchild={} + relationchild['tags']=[] + relationchild['tags'].append("estimative-language:likelihood-probability=\"likely\"") + relationchild['type']="child-of" + + relationsiblings={} + relationsiblings['tags']=[] + relationsiblings['tags'].append("estimative-language:likelihood-probability=\"likely\"") + relationsiblings['type']="similar" + + relationsiblings2={} + relationsiblings2['tags']=[] + relationsiblings2['tags'].append("estimative-language:likelihood-probability=\"likely\"") + relationsiblings2['type']="similar" + + #Building relationships + if len(cluster['value']) > 2: #2 digit codes have no parents + if len(cluster['value']) == 6: #specific case of 6 digit codes, parent have only 4 digits + for value in values: + if value['value'] == cluster['value'][0:len(cluster['value'])-2]: + relationchild['dest-uuid']=value['uuid'] + cluster['related'].append(relationchild) + + relationparent['dest-uuid']=cluster['uuid'] + value['related'].append(relationparent) + break + + if cluster['value'][5] == "0": #If a 6 digit code ends with 0, it has a similar/identical 5 digit code + for value in values: + if value['value'] == cluster['value'][0:len(cluster['value'])-1]: + relationsiblings['dest-uuid']=value['uuid'] + cluster['related'].append(relationsiblings) + + relationsiblings2['dest-uuid']=cluster['uuid'] + value['related'].append(relationsiblings2) + break + + + + else: #All other cases (codes with 3 to 5 digits) + for value in values: + if value['value'] == cluster['value'][0:len(cluster['value'])-1]: + relationchild['dest-uuid']=value['uuid'] + cluster['related'].append(relationchild) + + relationparent['dest-uuid']=cluster['uuid'] + value['related'].append(relationparent) + break + + + +galaxy['values']=values + +tojson = json.dumps(galaxy, indent=2) +jsonFile = open("naisc_cluster.json", "w") +jsonFile.write(tojson) +jsonFile.close()