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‎src/dackar/knowledge_graph/KG_class_test.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fdfa1e8f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys, os\n",
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"cwd = os.getcwd()\n",
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"frameworkDir = os.path.abspath(os.path.join(cwd, os.pardir, os.pardir))\n",
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"sys.path.append(frameworkDir)\n",
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"\n",
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"import pandas as pd\n",
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"\n",
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"from dackar.knowledge_graph.KGconstruction import KG"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "69114812",
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"metadata": {},
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"outputs": [],
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"source": [
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"cause_dict= {'A': ['alpha','beta','gamma'], \n",
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" 'B': [1.,2.,3.]}\n",
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"cause_df = pd.DataFrame(cause_dict)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fe9186d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"config_file_path = '/Users/mandd/Library/Application Support/Neo4j Desktop/Application/relate-data/dbmss/dbms-666d9aa2-b0c5-4903-9f08-1cad30136945/conf/neo4j.conf'\n",
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"uri = \"bolt://localhost:7687\"\n",
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"pwd = \"123456789\"\n",
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"user='neo4j'\n",
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"\n",
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"knowledgeGraph = KG(config_file_path, uri, pwd, user)\n",
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"\n",
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"knowledgeGraph.resetGraph()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e4f8adfe",
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"metadata": {},
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"outputs": [],
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"source": [
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"knowledgeGraph.importGraphSchema('condition_report','schemas/conditionReportSchema.toml')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "12cd86d0",
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"metadata": {},
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"outputs": [],
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"source": [
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"nodeConstSchemaCause = {'cause': {'prop1': 'A', 'prop2': 'B'}}\n",
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"constSchemaCause = {'nodes': nodeConstSchemaCause}\n",
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"\n",
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"knowledgeGraph.genericWorkflow(cause_df, constSchemaCause)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2ff8376c",
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"metadata": {},
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"outputs": [],
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"source": [
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"conseq_dict = {'C': ['x','y','z'], \n",
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" 'D': [1.1,1.2,1.3],\n",
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" 'prop_rel': [2.1,2.2,2.3],\n",
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" 'A': ['alpha','beta','gamma']} # link to cause\n",
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"conseq_df = pd.DataFrame(conseq_dict)\n",
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"\n",
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"nodeConstSchemaConseq = {'consequence': {'ID_A': 'C', 'ID_B': 'D'}}\n",
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"relConstSchemaConseq = [{'source': {'cause.prop1':'A'},\n",
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" 'target': {'consequence.ID_A':'C'},\n",
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" 'type' : 'causality',\n",
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" 'properties': {'amplitude': 'prop_rel'}}] \n",
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"\n",
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"constSchemaConseq= {'nodes' : nodeConstSchemaConseq,\n",
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" 'relations': relConstSchemaConseq}\n",
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"\n",
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"knowledgeGraph.genericWorkflow(conseq_df, constSchemaConseq)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "128e96b8",
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"metadata": {},
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"outputs": [],
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"source": [
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"node_properties=[{'name': 'date', 'type': 'string', 'optional': False},\n",
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" {'name': 'ID', 'type': 'string', 'optional': False}]\n",
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"\n",
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"df = pd.DataFrame(node_properties)\n",
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"df"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "dackar_libs",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎src/dackar/knowledge_graph/KGconstruction.py‎

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@@ -46,8 +46,9 @@ def __init__(self, config_file_path, uri, pwd, user):
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"items": {"type": "object",
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"properties": {"name" : {"type": "string", "description": "Name of the node property"},
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"type" : {"type": "string", "description": "Type of the node property"},
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"optional": {"type": "boolean", "description": "Specifies if this property is required or not"}},
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"required":["name","type","optional"],
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"optional": {"type": "boolean", "description": "Specifies if this property is required or not"}
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},
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"required":["name","type","optional"]
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}
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}
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},
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"items": {"type": "object",
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"properties": {"name" : {"type": "string", "description": "Name of the relation property"},
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"type" : {"type": "string", "description": "Type of the node property"},
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"optional": {"type": "boolean", "description": "Specifies if this property is required or not"}},
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"required":["name","type","optional"],
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"optional": {"type": "boolean", "description": "Specifies if this property is required or not"}
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},
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"required":["name","type","optional"]
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}
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}},
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"required":["relation_description","from_entity","to_entity"],
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}
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},
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"required":["relation_description","from_entity","to_entity"]
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}
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},
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"required":["title"]}

‎src/dackar/knowledge_graph/schemas/conditionReportSchema.toml‎

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node_properties = [{name = "date", type = "string", optional = false},
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{name = "ID", type = "string", optional = false}]
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[node.work_order]
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description = """[]"""
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node_properties = [{name = "date", type = "string", optional = false},
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{name = "ID", type = "string", optional = false}]
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2015
# ====================
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# Relations
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# ====================

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