From fcedd86b084088b9f6792df688e5b5ae50148806 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Mon, 1 Jul 2024 13:11:57 -0600 Subject: [PATCH 01/11] edits --- src/dackar/utils/mbse/LMLparser.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index 2af1d23..f1979f6 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -188,7 +188,7 @@ def returnGraph(self): Returns: - self.LMLgraph: networkx object, graph containing entities specified in the LML MBSE model + self.LMLgraph: networkx object, graph containing entities specified in the LML model """ return self.LMLgraph From 0a6d6fd67f7f637f4647b47bb39d56e9941c57ea Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Tue, 13 Aug 2024 13:53:22 -0600 Subject: [PATCH 02/11] added src mods and test edits --- src/dackar/utils/mbse/LMLparser.py | 60 +++++++--- tests/LML_parser/LML_functionality_test.ipynb | 111 +++++++++++++++--- 2 files changed, 138 insertions(+), 33 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index f1979f6..508e1c1 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -11,6 +11,7 @@ import re import networkx as nx import pandas as pd +import graphdatascience as gds class LMLobject(object): """ @@ -250,10 +251,36 @@ def cleanedGraph(self): self.cleanedGraph.remove_nodes_from(self.linkEntities) return self.cleanedGraph + + def printOnFile(self, name): + """ + This method is designed to print on file the graph from networkx. + This is to test a method to import a graph into neo4j as indicated in: + https://stackoverflow.com/questions/52210619/how-to-import-a-networkx-graph-to-neo4j + Args: + + None + + Returns: + + None + """ + name = name + ".graphml" + nx.write_graphml(self.LMLgraph, name) + + + def dumpDGSgraph(self, name): + """ + This method is designed to save the graph structure into two dictionaries: nodes and relationships + See Example 3.2 in https://neo4j.com/docs/graph-data-science-client/current/graph-object/ + Args: + None - def createNeo4jGraph(self): + Returns: + None + """ NXnodes = list(self.LMLgraph.nodes(data=True)) NXedges = list(self.LMLgraph.edges) @@ -270,7 +297,7 @@ def createNeo4jGraph(self): nodes['nodeId'].append(index) nodeInfo = node - mapping[node] = index + mapping[index] = node[0] if nodeInfo[0] is None: nodes['labels'].append(nodeInfo[1]) @@ -288,27 +315,28 @@ def createNeo4jGraph(self): nodes = pd.DataFrame(nodes) - relationships = pd.DataFrame( - { - "sourceNodeId": [], - "targetNodeId": [], - "type": [] - } - ) - + relationships = { + "sourceNodeId": [], + "targetNodeId": [], + "type" : [] + } + for index,edge in enumerate(NXedges): - relationships['sourceNodeId'].append(mapping[edge[0]]) - relationships['targetNodeId'].append(mapping[edge[1]]) + father = [key for key, val in mapping.items() if val == edge[0]][0] + child = [key for key, val in mapping.items() if val == edge[1]][0] + relationships['sourceNodeId'].append(father) # mapping[edge[0]] + relationships['targetNodeId'].append(child) #mapping[edge[1]] relationships['type'].append(edge[2]) - ''' + relationships = pd.DataFrame(relationships) + self.G = gds.graph.construct( - "my-graph", # Graph name + name, # Graph name nodes, # One or more dataframes containing node data relationships # One or more dataframes containing relationship data - )''' + ) - return nodes, relationships + return self.G diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index b8b4e9a..687c82b 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -2,15 +2,15 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "id": "2891ade9-9dc5-4f4e-9b04-76610a68def7", "metadata": {}, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "/Users/mandd/projects/DACKAR/src\n" + "Warming up PyWSD (takes ~10 secs)... took 2.100884199142456 secs.\n" ] } ], @@ -22,14 +22,14 @@ "\n", "cwd = os.getcwd()\n", "frameworkDir = os.path.abspath(os.path.join(cwd, os.pardir, '../src'))\n", - "print(frameworkDir)\n", + "sys.path.append(frameworkDir)\n", "\n", "from dackar.utils.mbse.LMLparser import LMLobject" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "id": "1e9c434c", "metadata": {}, "outputs": [], @@ -40,13 +40,13 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "id": "56f845e7", "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "id": "3f74b40e", "metadata": {}, "outputs": [ @@ -85,7 +85,7 @@ " 'I_654C7PJE4CGFQ_A4R58Z120VYQH': ('pump', 'PM2')}" ] }, - "execution_count": 9, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -97,24 +97,24 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "id": "1b802e89", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['PM1',\n", + "['PM2',\n", " '(None,C3)',\n", - " '(level sensor,S3)',\n", " '(None,V3)',\n", - " '(None,V1)',\n", - " 'cond1',\n", + " 'PM1',\n", " '(None,V2)',\n", - " 'PM2']" + " '(level sensor,S3)',\n", + " 'cond1',\n", + " '(None,V1)']" ] }, - "execution_count": 10, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -122,6 +122,83 @@ "source": [ "test.returnListIDs()" ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c47b889c", + "metadata": {}, + "outputs": [], + "source": [ + "test.printOnFile('test')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "844dae31", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{0: '(None,C3)', 1: ('condenser', 'cond1'), 2: 'I_1PC9PKV4BTGV5_BMXNGD2MYES4D', 3: 'I_9YG45MX0QMK91_80WEVYKF2ZK18', 4: '(None,V2)', 5: '(None,V3)', 6: '(level sensor,S3)', 7: ('forebay', None), 8: ('OPM_pump', 'body'), 9: ('pump', 'PM1'), 10: 'I_2J6B8DXJ2WH0N_AR6M5HTA4X3SZ', 11: '(None,V1)', 12: ('pump', 'PM2'), 13: 'I_2G6275A7X6HT5_86DMC9T834MZG'}\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "module 'graphdatascience.graph' has no attribute 'construct'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m graph1 \u001b[38;5;241m=\u001b[39m \u001b[43mtest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumpDGSgraph\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtest1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/projects/DACKAR/src/dackar/utils/mbse/LMLparser.py:335\u001b[0m, in \u001b[0;36mLMLobject.dumpDGSgraph\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 331\u001b[0m relationships[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mappend(edge[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 333\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(relationships)\n\u001b[0;32m--> 335\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG \u001b[38;5;241m=\u001b[39m \u001b[43mgds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstruct\u001b[49m(\n\u001b[1;32m 336\u001b[0m name, \u001b[38;5;66;03m# Graph name\u001b[39;00m\n\u001b[1;32m 337\u001b[0m nodes, \u001b[38;5;66;03m# One or more dataframes containing node data\u001b[39;00m\n\u001b[1;32m 338\u001b[0m relationships \u001b[38;5;66;03m# One or more dataframes containing relationship data\u001b[39;00m\n\u001b[1;32m 339\u001b[0m )\n\u001b[1;32m 341\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG\n", + "\u001b[0;31mAttributeError\u001b[0m: module 'graphdatascience.graph' has no attribute 'construct'" + ] + } + ], + "source": [ + "graph1 = test.dumpDGSgraph('test1')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5a0dddd", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import graphdatascience as gds\n", + "\n", + "nodes = pd.DataFrame(\n", + " {\n", + " \"nodeId\": [0, 1, 2, 3],\n", + " \"labels\": [\"A\", \"B\", \"C\", \"A\"],\n", + " \"prop1\": [42, 1337, 8, 0],\n", + " \"otherProperty\": [0.1, 0.2, 0.3, 0.4]\n", + " }\n", + ")\n", + "\n", + "relationships = pd.DataFrame(\n", + " {\n", + " \"sourceNodeId\": [0, 1, 2, 3],\n", + " \"targetNodeId\": [1, 2, 3, 0],\n", + " \"relationshipType\": [\"REL\", \"REL\", \"REL\", \"REL\"],\n", + " \"weight\": [0.0, 0.0, 0.1, 42.0]\n", + " }\n", + ")\n", + "\n", + "G = gds.graph.construct(\n", + " \"my-graph\", # Graph name\n", + " nodes, # One or more dataframes containing node data\n", + " relationships # One or more dataframes containing relationship data\n", + ")\n", + "\n", + "assert \"REL\" in G.relationship_types()\n" + ] } ], "metadata": { @@ -141,7 +218,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.11.9" } }, "nbformat": 4, From 27f468bcc8165b42ba35fd6b66d490e2bd7e75d4 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Tue, 13 Aug 2024 14:15:20 -0600 Subject: [PATCH 03/11] smalle edits --- src/dackar/utils/mbse/LMLparser.py | 2 +- tests/LML_parser/LML_functionality_test.ipynb | 23 +++++++------------ 2 files changed, 9 insertions(+), 16 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index 508e1c1..7fcc143 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -271,7 +271,7 @@ def printOnFile(self, name): def dumpDGSgraph(self, name): """ - This method is designed to save the graph structure into two dictionaries: nodes and relationships + This method is designed to save the graph structure into gds entity See Example 3.2 in https://neo4j.com/docs/graph-data-science-client/current/graph-object/ Args: diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index 687c82b..5333045 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -10,7 +10,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Warming up PyWSD (takes ~10 secs)... took 2.100884199142456 secs.\n" + "Warming up PyWSD (takes ~10 secs)... took 2.069255828857422 secs.\n" ] } ], @@ -104,14 +104,14 @@ { "data": { "text/plain": [ - "['PM2',\n", - " '(None,C3)',\n", - " '(None,V3)',\n", - " 'PM1',\n", + "['PM1',\n", " '(None,V2)',\n", " '(level sensor,S3)',\n", - " 'cond1',\n", - " '(None,V1)']" + " '(None,V3)',\n", + " 'PM2',\n", + " '(None,C3)',\n", + " '(None,V1)',\n", + " 'cond1']" ] }, "execution_count": 5, @@ -139,13 +139,6 @@ "id": "844dae31", "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{0: '(None,C3)', 1: ('condenser', 'cond1'), 2: 'I_1PC9PKV4BTGV5_BMXNGD2MYES4D', 3: 'I_9YG45MX0QMK91_80WEVYKF2ZK18', 4: '(None,V2)', 5: '(None,V3)', 6: '(level sensor,S3)', 7: ('forebay', None), 8: ('OPM_pump', 'body'), 9: ('pump', 'PM1'), 10: 'I_2J6B8DXJ2WH0N_AR6M5HTA4X3SZ', 11: '(None,V1)', 12: ('pump', 'PM2'), 13: 'I_2G6275A7X6HT5_86DMC9T834MZG'}\n" - ] - }, { "ename": "AttributeError", "evalue": "module 'graphdatascience.graph' has no attribute 'construct'", @@ -154,7 +147,7 @@ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m graph1 \u001b[38;5;241m=\u001b[39m \u001b[43mtest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumpDGSgraph\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtest1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/projects/DACKAR/src/dackar/utils/mbse/LMLparser.py:335\u001b[0m, in \u001b[0;36mLMLobject.dumpDGSgraph\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 331\u001b[0m relationships[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mappend(edge[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 333\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(relationships)\n\u001b[0;32m--> 335\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG \u001b[38;5;241m=\u001b[39m \u001b[43mgds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstruct\u001b[49m(\n\u001b[1;32m 336\u001b[0m name, \u001b[38;5;66;03m# Graph name\u001b[39;00m\n\u001b[1;32m 337\u001b[0m nodes, \u001b[38;5;66;03m# One or more dataframes containing node data\u001b[39;00m\n\u001b[1;32m 338\u001b[0m relationships \u001b[38;5;66;03m# One or more dataframes containing relationship data\u001b[39;00m\n\u001b[1;32m 339\u001b[0m )\n\u001b[1;32m 341\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG\n", + "File \u001b[0;32m~/projects/DACKAR/src/dackar/utils/mbse/LMLparser.py:333\u001b[0m, in \u001b[0;36mLMLobject.dumpDGSgraph\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 329\u001b[0m relationships[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mappend(edge[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 331\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(relationships)\n\u001b[0;32m--> 333\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG \u001b[38;5;241m=\u001b[39m \u001b[43mgds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstruct\u001b[49m(\n\u001b[1;32m 334\u001b[0m name, \u001b[38;5;66;03m# Graph name\u001b[39;00m\n\u001b[1;32m 335\u001b[0m nodes, \u001b[38;5;66;03m# One or more dataframes containing node data\u001b[39;00m\n\u001b[1;32m 336\u001b[0m relationships \u001b[38;5;66;03m# One or more dataframes containing relationship data\u001b[39;00m\n\u001b[1;32m 337\u001b[0m )\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG\n", "\u001b[0;31mAttributeError\u001b[0m: module 'graphdatascience.graph' has no attribute 'construct'" ] } From 104dd510658607a4dd638fe3891ae233261e0267 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Thu, 15 Aug 2024 15:57:42 -0600 Subject: [PATCH 04/11] edits --- src/dackar/utils/mbse/LMLparser.py | 4 +- tests/LML_parser/LML_functionality_test.ipynb | 85 ++++++++++++++----- 2 files changed, 65 insertions(+), 24 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index 7fcc143..f539f87 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -352,8 +352,8 @@ def parseEntityDescription(text): Returns: out : tuple, tuple containing the list of elements specified in square brackets and separated - by commas (e.g., ['FV304,'305']) and the link to an external MBSE model - (e.g., ('centrifugalPumpFull', 'body')) + by commas (e.g., ['FV304,'305']) and the link to an external MBSE model + (e.g., ('centrifugalPumpFull', 'body')) """ diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index 5333045..e4e9189 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -2,18 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "id": "2891ade9-9dc5-4f4e-9b04-76610a68def7", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Warming up PyWSD (takes ~10 secs)... took 2.069255828857422 secs.\n" - ] - } - ], + "outputs": [], "source": [ "import xml.etree.ElementTree as sT\n", "import matplotlib.pyplot as plt\n", @@ -29,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 9, "id": "1e9c434c", "metadata": {}, "outputs": [], @@ -40,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "id": "56f845e7", "metadata": {}, "outputs": [ @@ -72,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "id": "3f74b40e", "metadata": {}, "outputs": [ @@ -85,7 +77,7 @@ " 'I_654C7PJE4CGFQ_A4R58Z120VYQH': ('pump', 'PM2')}" ] }, - "execution_count": 4, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -97,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "id": "1b802e89", "metadata": {}, "outputs": [ @@ -114,7 +106,7 @@ " 'cond1']" ] }, - "execution_count": 5, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -125,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "c47b889c", "metadata": {}, "outputs": [], @@ -135,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 14, "id": "844dae31", "metadata": {}, "outputs": [ @@ -146,7 +138,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m graph1 \u001b[38;5;241m=\u001b[39m \u001b[43mtest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumpDGSgraph\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtest1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m graph1 \u001b[38;5;241m=\u001b[39m \u001b[43mtest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumpDGSgraph\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtest1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/projects/DACKAR/src/dackar/utils/mbse/LMLparser.py:333\u001b[0m, in \u001b[0;36mLMLobject.dumpDGSgraph\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 329\u001b[0m relationships[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mappend(edge[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 331\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(relationships)\n\u001b[0;32m--> 333\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG \u001b[38;5;241m=\u001b[39m \u001b[43mgds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstruct\u001b[49m(\n\u001b[1;32m 334\u001b[0m name, \u001b[38;5;66;03m# Graph name\u001b[39;00m\n\u001b[1;32m 335\u001b[0m nodes, \u001b[38;5;66;03m# One or more dataframes containing node data\u001b[39;00m\n\u001b[1;32m 336\u001b[0m relationships \u001b[38;5;66;03m# One or more dataframes containing relationship data\u001b[39;00m\n\u001b[1;32m 337\u001b[0m )\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG\n", "\u001b[0;31mAttributeError\u001b[0m: module 'graphdatascience.graph' has no attribute 'construct'" ] @@ -158,13 +150,62 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "id": "e5a0dddd", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mConnectionRefusedError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:528\u001b[0m, in \u001b[0;36mBoltSocket._connect\u001b[0;34m(cls, resolved_address, timeout, keep_alive)\u001b[0m\n\u001b[1;32m 527\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[#0000] C: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, resolved_address)\n\u001b[0;32m--> 528\u001b[0m \u001b[43ms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresolved_address\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 529\u001b[0m s\u001b[38;5;241m.\u001b[39msettimeout(t)\n", + "\u001b[0;31mConnectionRefusedError\u001b[0m: [Errno 61] Connection refused", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mServiceUnavailable\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:690\u001b[0m, in \u001b[0;36mBoltSocket.connect\u001b[0;34m(cls, address, tcp_timeout, deadline, custom_resolver, ssl_context, keep_alive)\u001b[0m\n\u001b[1;32m 689\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 690\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[43mBoltSocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresolved_address\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtcp_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 691\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeep_alive\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 692\u001b[0m s \u001b[38;5;241m=\u001b[39m BoltSocket\u001b[38;5;241m.\u001b[39m_secure(s, resolved_address\u001b[38;5;241m.\u001b[39m_host_name,\n\u001b[1;32m 693\u001b[0m ssl_context)\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:546\u001b[0m, in \u001b[0;36mBoltSocket._connect\u001b[0;34m(cls, resolved_address, timeout, keep_alive)\u001b[0m\n\u001b[1;32m 545\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(error, \u001b[38;5;167;01mOSError\u001b[39;00m):\n\u001b[0;32m--> 546\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ServiceUnavailable(\n\u001b[1;32m 547\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to establish connection to \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m (reason \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 548\u001b[0m \u001b[38;5;241m.\u001b[39mformat(resolved_address, error)\n\u001b[1;32m 549\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merror\u001b[39;00m\n\u001b[1;32m 550\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "\u001b[0;31mServiceUnavailable\u001b[0m: Failed to establish connection to ResolvedIPv6Address(('::1', 7687, 0, 0)) (reason [Errno 61] Connection refused)", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mServiceUnavailable\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:367\u001b[0m, in \u001b[0;36mNeo4jQueryRunner._verify_connectivity\u001b[0;34m(self, database)\u001b[0m\n\u001b[1;32m 359\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(\n\u001b[1;32m 360\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 361\u001b[0m category\u001b[38;5;241m=\u001b[39mneo4j\u001b[38;5;241m.\u001b[39mExperimentalWarning,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 365\u001b[0m ),\n\u001b[1;32m 366\u001b[0m )\n\u001b[0;32m--> 367\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_driver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mverify_connectivity\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 368\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/driver.py:1067\u001b[0m, in \u001b[0;36mDriver.verify_connectivity\u001b[0;34m(self, **config)\u001b[0m\n\u001b[1;32m 1066\u001b[0m session_config \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_read_session_config(config)\n\u001b[0;32m-> 1067\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_server_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43msession_config\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/driver.py:1281\u001b[0m, in \u001b[0;36mDriver._get_server_info\u001b[0;34m(self, session_config)\u001b[0m\n\u001b[1;32m 1280\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_session(session_config) \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m-> 1281\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_server_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/session.py:172\u001b[0m, in \u001b[0;36mSession._get_server_info\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\n\u001b[0;32m--> 172\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mREAD_ACCESS\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mliveness_check_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 173\u001b[0m server_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\u001b[38;5;241m.\u001b[39mserver_info\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/session.py:130\u001b[0m, in \u001b[0;36mSession._connect\u001b[0;34m(self, access_mode, **acquire_kwargs)\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 130\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 131\u001b[0m \u001b[43m \u001b[49m\u001b[43maccess_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43macquire_kwargs\u001b[49m\n\u001b[1;32m 132\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39mCancelledError:\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/workspace.py:182\u001b[0m, in \u001b[0;36mWorkspace._connect\u001b[0;34m(self, access_mode, auth, **acquire_kwargs)\u001b[0m\n\u001b[1;32m 181\u001b[0m acquire_kwargs_\u001b[38;5;241m.\u001b[39mupdate(acquire_kwargs)\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43macquire_kwargs_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection_access_mode \u001b[38;5;241m=\u001b[39m access_mode\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:526\u001b[0m, in \u001b[0;36mBoltPool.acquire\u001b[0;34m(self, access_mode, timeout, database, bookmarks, auth, liveness_check_timeout)\u001b[0m\n\u001b[1;32m 525\u001b[0m deadline \u001b[38;5;241m=\u001b[39m Deadline\u001b[38;5;241m.\u001b[39mfrom_timeout_or_deadline(timeout)\n\u001b[0;32m--> 526\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 527\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mliveness_check_timeout\u001b[49m\n\u001b[1;32m 528\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:313\u001b[0m, in \u001b[0;36mIOPool._acquire\u001b[0;34m(self, address, auth, deadline, liveness_check_timeout)\u001b[0m\n\u001b[1;32m 312\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[#0000] _: trying to hand out new connection\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 313\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection_creator\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:163\u001b[0m, in \u001b[0;36mIOPool._acquire_new_later..connection_creator\u001b[0;34m()\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 163\u001b[0m connection \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopener\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 164\u001b[0m \u001b[43m \u001b[49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\n\u001b[1;32m 165\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ServiceUnavailable:\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:500\u001b[0m, in \u001b[0;36mBoltPool.open..opener\u001b[0;34m(addr, auth_manager, deadline)\u001b[0m\n\u001b[1;32m 499\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopener\u001b[39m(addr, auth_manager, deadline):\n\u001b[0;32m--> 500\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mBolt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 501\u001b[0m \u001b[43m \u001b[49m\u001b[43maddr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauth_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 502\u001b[0m \u001b[43m \u001b[49m\u001b[43mrouting_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\n\u001b[1;32m 503\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_bolt.py:405\u001b[0m, in \u001b[0;36mBolt.open\u001b[0;34m(cls, address, auth_manager, deadline, routing_context, pool_config)\u001b[0m\n\u001b[1;32m 402\u001b[0m deadline \u001b[38;5;241m=\u001b[39m Deadline(\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 404\u001b[0m s, protocol_version, handshake, data \u001b[38;5;241m=\u001b[39m \\\n\u001b[0;32m--> 405\u001b[0m \u001b[43mBoltSocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 406\u001b[0m \u001b[43m \u001b[49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 407\u001b[0m \u001b[43m \u001b[49m\u001b[43mtcp_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 408\u001b[0m \u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 409\u001b[0m \u001b[43m \u001b[49m\u001b[43mcustom_resolver\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolver\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 410\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_ssl_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 411\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeep_alive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeep_alive\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 412\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m pool_config\u001b[38;5;241m.\u001b[39mprotocol_version \u001b[38;5;241m=\u001b[39m protocol_version\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:718\u001b[0m, in \u001b[0;36mBoltSocket.connect\u001b[0;34m(cls, address, tcp_timeout, deadline, custom_resolver, ssl_context, keep_alive)\u001b[0m\n\u001b[1;32m 717\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 718\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ServiceUnavailable(\n\u001b[1;32m 719\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt connect to \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m (resolved to \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m):\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m (\n\u001b[1;32m 720\u001b[0m \u001b[38;5;28mstr\u001b[39m(address), \u001b[38;5;28mtuple\u001b[39m(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, resolved_addresses)),\n\u001b[1;32m 721\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, errors))\n\u001b[1;32m 722\u001b[0m )\n\u001b[1;32m 723\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merrors\u001b[39;00m[\u001b[38;5;241m0\u001b[39m]\n", + "\u001b[0;31mServiceUnavailable\u001b[0m: Couldn't connect to localhost:7687 (resolved to ()):\nFailed to establish connection to ResolvedIPv6Address(('::1', 7687, 0, 0)) (reason [Errno 61] Connection refused)\nFailed to establish connection to ResolvedIPv4Address(('127.0.0.1', 7687)) (reason [Errno 61] Connection refused)", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[22], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m NEO4J_AUTH \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 8\u001b[0m NEO4J_DB \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39menviron\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNEO4J_DB\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mneo4j\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m gds \u001b[38;5;241m=\u001b[39m \u001b[43mGraphDataScience\u001b[49m\u001b[43m(\u001b[49m\u001b[43mNEO4J_URI\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mNEO4J_AUTH\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mNEO4J_DB\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m nodes \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\n\u001b[1;32m 12\u001b[0m {\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnodeId\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 17\u001b[0m }\n\u001b[1;32m 18\u001b[0m )\n\u001b[1;32m 20\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\n\u001b[1;32m 21\u001b[0m {\n\u001b[1;32m 22\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msourceNodeId\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 26\u001b[0m }\n\u001b[1;32m 27\u001b[0m )\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/graph_data_science.py:71\u001b[0m, in \u001b[0;36mGraphDataScience.__init__\u001b[0;34m(self, endpoint, auth, aura_ds, database, arrow, arrow_disable_server_verification, arrow_tls_root_certs, bookmarks)\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner \u001b[38;5;241m=\u001b[39m endpoint\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 71\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner \u001b[38;5;241m=\u001b[39m \u001b[43mNeo4jQueryRunner\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maura_ds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbookmarks\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner\u001b[38;5;241m.\u001b[39mserver_version()\n\u001b[1;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m arrow \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m ServerVersion(\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m0\u001b[39m):\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:48\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.create\u001b[0;34m(endpoint, auth, aura_ds, database, bookmarks, server_version)\u001b[0m\n\u001b[1;32m 44\u001b[0m Neo4jQueryRunner\u001b[38;5;241m.\u001b[39m_configure_aura(config)\n\u001b[1;32m 46\u001b[0m driver \u001b[38;5;241m=\u001b[39m neo4j\u001b[38;5;241m.\u001b[39mGraphDatabase\u001b[38;5;241m.\u001b[39mdriver(endpoint, auth\u001b[38;5;241m=\u001b[39mauth, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mconfig)\n\u001b[0;32m---> 48\u001b[0m query_runner \u001b[38;5;241m=\u001b[39m \u001b[43mNeo4jQueryRunner\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 49\u001b[0m \u001b[43m \u001b[49m\u001b[43mdriver\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[43m \u001b[49m\u001b[43mauto_close\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 51\u001b[0m \u001b[43m \u001b[49m\u001b[43mbookmarks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbookmarks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 52\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 53\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 54\u001b[0m \u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 55\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(endpoint, neo4j\u001b[38;5;241m.\u001b[39mDriver):\n\u001b[1;32m 58\u001b[0m query_runner \u001b[38;5;241m=\u001b[39m Neo4jQueryRunner(endpoint, auto_close\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, bookmarks\u001b[38;5;241m=\u001b[39mbookmarks, database\u001b[38;5;241m=\u001b[39mdatabase)\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:96\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.__init__\u001b[0;34m(self, driver, config, database, auto_close, bookmarks, server_version)\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bookmarks \u001b[38;5;241m=\u001b[39m bookmarks\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_last_bookmarks: Optional[Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m---> 96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m=\u001b[39m server_version \u001b[38;5;28;01mif\u001b[39;00m server_version \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mserver_version\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:213\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.server_version\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 213\u001b[0m server_version_string \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_cypher\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mRETURN gds.version()\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcustom_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39msqueeze()\n\u001b[1;32m 214\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ServerVersion\u001b[38;5;241m.\u001b[39mfrom_string(server_version_string)\n\u001b[1;32m 215\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:111\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.run_cypher\u001b[0;34m(self, query, params, database, custom_error)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m database \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 109\u001b[0m database \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_database\n\u001b[0;32m--> 111\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_verify_connectivity\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 113\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_driver\u001b[38;5;241m.\u001b[39msession(database\u001b[38;5;241m=\u001b[39mdatabase, bookmarks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbookmarks()) \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[1;32m 114\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:374\u001b[0m, in \u001b[0;36mNeo4jQueryRunner._verify_connectivity\u001b[0;34m(self, database)\u001b[0m\n\u001b[1;32m 371\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retrys \u001b[38;5;241m%\u001b[39m WARN_INTERVAL \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_logger\u001b[38;5;241m.\u001b[39mwarning(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to connect to the Neo4j DBMS. Trying again...\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 374\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(WAIT_TIME)\n\u001b[1;32m 375\u001b[0m retrys \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 377\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], "source": [ "import pandas as pd\n", - "import graphdatascience as gds\n", + "from graphdatascience import GraphDataScience\n", + "\n", + "\n", + "# Get Neo4j DB URI, credentials and name from environment if applicable\n", + "NEO4J_URI = os.environ.get(\"NEO4J_URI\", \"bolt://localhost:7687\")\n", + "NEO4J_AUTH = None\n", + "NEO4J_DB = os.environ.get(\"NEO4J_DB\", \"neo4j\")\n", + "gds = GraphDataScience(NEO4J_URI, auth=NEO4J_AUTH, database=NEO4J_DB)\n", "\n", "nodes = pd.DataFrame(\n", " {\n", From e035996356a376970a66d2f39b4fc130d7ad4184 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Mon, 30 Sep 2024 13:09:55 -0600 Subject: [PATCH 05/11] last editsFY24 --- src/dackar/utils/mbse/LMLparser.py | 15 +- tests/LML_parser/LML_functionality_test.ipynb | 143 ++++-------------- 2 files changed, 37 insertions(+), 121 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index f539f87..39ebad6 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -252,7 +252,7 @@ def cleanedGraph(self): return self.cleanedGraph - def printOnFile(self, name): + def printOnFile(self, name, csv=True): """ This method is designed to print on file the graph from networkx. This is to test a method to import a graph into neo4j as indicated in: @@ -265,8 +265,12 @@ def printOnFile(self, name): None """ - name = name + ".graphml" - nx.write_graphml(self.LMLgraph, name) + if csv: + name = name + ".csv" + nx.write_edgelist(self.LMLgraph, name, delimiter=',', data=True, encoding='utf-8') + else: + name = name + ".graphml" + nx.write_graphml(self.LMLgraph, name) def dumpDGSgraph(self, name): @@ -330,14 +334,17 @@ def dumpDGSgraph(self, name): relationships = pd.DataFrame(relationships) + ''' self.G = gds.graph.construct( name, # Graph name nodes, # One or more dataframes containing node data relationships # One or more dataframes containing relationship data ) - return self.G + return self.G''' + nodes.to_csv(name+'_nodes.csv') + relationships.to_csv(name+'_edges.csv') def parseEntityDescription(text): diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index e4e9189..408f8c9 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -2,10 +2,18 @@ "cells": [ { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "id": "2891ade9-9dc5-4f4e-9b04-76610a68def7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warming up PyWSD (takes ~10 secs)... took 2.1339969635009766 secs.\n" + ] + } + ], "source": [ "import xml.etree.ElementTree as sT\n", "import matplotlib.pyplot as plt\n", @@ -21,7 +29,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "id": "1e9c434c", "metadata": {}, "outputs": [], @@ -32,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "56f845e7", "metadata": {}, "outputs": [ @@ -64,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "id": "3f74b40e", "metadata": {}, "outputs": [ @@ -77,7 +85,7 @@ " 'I_654C7PJE4CGFQ_A4R58Z120VYQH': ('pump', 'PM2')}" ] }, - "execution_count": 11, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -89,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "id": "1b802e89", "metadata": {}, "outputs": [ @@ -97,16 +105,16 @@ "data": { "text/plain": [ "['PM1',\n", - " '(None,V2)',\n", - " '(level sensor,S3)',\n", + " 'cond1',\n", + " '(None,C3)',\n", " '(None,V3)',\n", " 'PM2',\n", - " '(None,C3)',\n", - " '(None,V1)',\n", - " 'cond1']" + " '(None,V2)',\n", + " '(level sensor,S3)',\n", + " '(None,V1)']" ] }, - "execution_count": 12, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -117,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "id": "c47b889c", "metadata": {}, "outputs": [], @@ -127,111 +135,12 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "844dae31", + "execution_count": 7, + "id": "1684406c", "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "module 'graphdatascience.graph' has no attribute 'construct'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m graph1 \u001b[38;5;241m=\u001b[39m \u001b[43mtest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumpDGSgraph\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtest1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/projects/DACKAR/src/dackar/utils/mbse/LMLparser.py:333\u001b[0m, in \u001b[0;36mLMLobject.dumpDGSgraph\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 329\u001b[0m relationships[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtype\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mappend(edge[\u001b[38;5;241m2\u001b[39m])\n\u001b[1;32m 331\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(relationships)\n\u001b[0;32m--> 333\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG \u001b[38;5;241m=\u001b[39m \u001b[43mgds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstruct\u001b[49m(\n\u001b[1;32m 334\u001b[0m name, \u001b[38;5;66;03m# Graph name\u001b[39;00m\n\u001b[1;32m 335\u001b[0m nodes, \u001b[38;5;66;03m# One or more dataframes containing node data\u001b[39;00m\n\u001b[1;32m 336\u001b[0m relationships \u001b[38;5;66;03m# One or more dataframes containing relationship data\u001b[39;00m\n\u001b[1;32m 337\u001b[0m )\n\u001b[1;32m 339\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mG\n", - "\u001b[0;31mAttributeError\u001b[0m: module 'graphdatascience.graph' has no attribute 'construct'" - ] - } - ], - "source": [ - "graph1 = test.dumpDGSgraph('test1')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "e5a0dddd", - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mConnectionRefusedError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:528\u001b[0m, in \u001b[0;36mBoltSocket._connect\u001b[0;34m(cls, resolved_address, timeout, keep_alive)\u001b[0m\n\u001b[1;32m 527\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[#0000] C: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, resolved_address)\n\u001b[0;32m--> 528\u001b[0m \u001b[43ms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresolved_address\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 529\u001b[0m s\u001b[38;5;241m.\u001b[39msettimeout(t)\n", - "\u001b[0;31mConnectionRefusedError\u001b[0m: [Errno 61] Connection refused", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mServiceUnavailable\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:690\u001b[0m, in \u001b[0;36mBoltSocket.connect\u001b[0;34m(cls, address, tcp_timeout, deadline, custom_resolver, ssl_context, keep_alive)\u001b[0m\n\u001b[1;32m 689\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 690\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[43mBoltSocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresolved_address\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtcp_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 691\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeep_alive\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 692\u001b[0m s \u001b[38;5;241m=\u001b[39m BoltSocket\u001b[38;5;241m.\u001b[39m_secure(s, resolved_address\u001b[38;5;241m.\u001b[39m_host_name,\n\u001b[1;32m 693\u001b[0m ssl_context)\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:546\u001b[0m, in \u001b[0;36mBoltSocket._connect\u001b[0;34m(cls, resolved_address, timeout, keep_alive)\u001b[0m\n\u001b[1;32m 545\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(error, \u001b[38;5;167;01mOSError\u001b[39;00m):\n\u001b[0;32m--> 546\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ServiceUnavailable(\n\u001b[1;32m 547\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed to establish connection to \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m (reason \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 548\u001b[0m \u001b[38;5;241m.\u001b[39mformat(resolved_address, error)\n\u001b[1;32m 549\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merror\u001b[39;00m\n\u001b[1;32m 550\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", - "\u001b[0;31mServiceUnavailable\u001b[0m: Failed to establish connection to ResolvedIPv6Address(('::1', 7687, 0, 0)) (reason [Errno 61] Connection refused)", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mServiceUnavailable\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:367\u001b[0m, in \u001b[0;36mNeo4jQueryRunner._verify_connectivity\u001b[0;34m(self, database)\u001b[0m\n\u001b[1;32m 359\u001b[0m warnings\u001b[38;5;241m.\u001b[39mfilterwarnings(\n\u001b[1;32m 360\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 361\u001b[0m category\u001b[38;5;241m=\u001b[39mneo4j\u001b[38;5;241m.\u001b[39mExperimentalWarning,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 365\u001b[0m ),\n\u001b[1;32m 366\u001b[0m )\n\u001b[0;32m--> 367\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_driver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mverify_connectivity\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 368\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/driver.py:1067\u001b[0m, in \u001b[0;36mDriver.verify_connectivity\u001b[0;34m(self, **config)\u001b[0m\n\u001b[1;32m 1066\u001b[0m session_config \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_read_session_config(config)\n\u001b[0;32m-> 1067\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_server_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43msession_config\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/driver.py:1281\u001b[0m, in \u001b[0;36mDriver._get_server_info\u001b[0;34m(self, session_config)\u001b[0m\n\u001b[1;32m 1280\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_session(session_config) \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m-> 1281\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_server_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/session.py:172\u001b[0m, in \u001b[0;36mSession._get_server_info\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\n\u001b[0;32m--> 172\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mREAD_ACCESS\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mliveness_check_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 173\u001b[0m server_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\u001b[38;5;241m.\u001b[39mserver_info\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/session.py:130\u001b[0m, in \u001b[0;36mSession._connect\u001b[0;34m(self, access_mode, **acquire_kwargs)\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 130\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 131\u001b[0m \u001b[43m \u001b[49m\u001b[43maccess_mode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43macquire_kwargs\u001b[49m\n\u001b[1;32m 132\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39mCancelledError:\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/work/workspace.py:182\u001b[0m, in \u001b[0;36mWorkspace._connect\u001b[0;34m(self, access_mode, auth, **acquire_kwargs)\u001b[0m\n\u001b[1;32m 181\u001b[0m acquire_kwargs_\u001b[38;5;241m.\u001b[39mupdate(acquire_kwargs)\n\u001b[0;32m--> 182\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43macquire_kwargs_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection_access_mode \u001b[38;5;241m=\u001b[39m access_mode\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:526\u001b[0m, in \u001b[0;36mBoltPool.acquire\u001b[0;34m(self, access_mode, timeout, database, bookmarks, auth, liveness_check_timeout)\u001b[0m\n\u001b[1;32m 525\u001b[0m deadline \u001b[38;5;241m=\u001b[39m Deadline\u001b[38;5;241m.\u001b[39mfrom_timeout_or_deadline(timeout)\n\u001b[0;32m--> 526\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 527\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mliveness_check_timeout\u001b[49m\n\u001b[1;32m 528\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:313\u001b[0m, in \u001b[0;36mIOPool._acquire\u001b[0;34m(self, address, auth, deadline, liveness_check_timeout)\u001b[0m\n\u001b[1;32m 312\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[#0000] _: trying to hand out new connection\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 313\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mconnection_creator\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:163\u001b[0m, in \u001b[0;36mIOPool._acquire_new_later..connection_creator\u001b[0;34m()\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 163\u001b[0m connection \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopener\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 164\u001b[0m \u001b[43m \u001b[49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\n\u001b[1;32m 165\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ServiceUnavailable:\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_pool.py:500\u001b[0m, in \u001b[0;36mBoltPool.open..opener\u001b[0;34m(addr, auth_manager, deadline)\u001b[0m\n\u001b[1;32m 499\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopener\u001b[39m(addr, auth_manager, deadline):\n\u001b[0;32m--> 500\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mBolt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 501\u001b[0m \u001b[43m \u001b[49m\u001b[43maddr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauth_manager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 502\u001b[0m \u001b[43m \u001b[49m\u001b[43mrouting_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\n\u001b[1;32m 503\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_sync/io/_bolt.py:405\u001b[0m, in \u001b[0;36mBolt.open\u001b[0;34m(cls, address, auth_manager, deadline, routing_context, pool_config)\u001b[0m\n\u001b[1;32m 402\u001b[0m deadline \u001b[38;5;241m=\u001b[39m Deadline(\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 404\u001b[0m s, protocol_version, handshake, data \u001b[38;5;241m=\u001b[39m \\\n\u001b[0;32m--> 405\u001b[0m \u001b[43mBoltSocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 406\u001b[0m \u001b[43m \u001b[49m\u001b[43maddress\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 407\u001b[0m \u001b[43m \u001b[49m\u001b[43mtcp_timeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnection_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 408\u001b[0m \u001b[43m \u001b[49m\u001b[43mdeadline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdeadline\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 409\u001b[0m \u001b[43m \u001b[49m\u001b[43mcustom_resolver\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresolver\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 410\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_ssl_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 411\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeep_alive\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpool_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeep_alive\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 412\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m pool_config\u001b[38;5;241m.\u001b[39mprotocol_version \u001b[38;5;241m=\u001b[39m protocol_version\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/neo4j/_async_compat/network/_bolt_socket.py:718\u001b[0m, in \u001b[0;36mBoltSocket.connect\u001b[0;34m(cls, address, tcp_timeout, deadline, custom_resolver, ssl_context, keep_alive)\u001b[0m\n\u001b[1;32m 717\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 718\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ServiceUnavailable(\n\u001b[1;32m 719\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt connect to \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m (resolved to \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m):\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m (\n\u001b[1;32m 720\u001b[0m \u001b[38;5;28mstr\u001b[39m(address), \u001b[38;5;28mtuple\u001b[39m(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, resolved_addresses)),\n\u001b[1;32m 721\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mstr\u001b[39m, errors))\n\u001b[1;32m 722\u001b[0m )\n\u001b[1;32m 723\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merrors\u001b[39;00m[\u001b[38;5;241m0\u001b[39m]\n", - "\u001b[0;31mServiceUnavailable\u001b[0m: Couldn't connect to localhost:7687 (resolved to ()):\nFailed to establish connection to ResolvedIPv6Address(('::1', 7687, 0, 0)) (reason [Errno 61] Connection refused)\nFailed to establish connection to ResolvedIPv4Address(('127.0.0.1', 7687)) (reason [Errno 61] Connection refused)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[22], line 9\u001b[0m\n\u001b[1;32m 7\u001b[0m NEO4J_AUTH \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 8\u001b[0m NEO4J_DB \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39menviron\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNEO4J_DB\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mneo4j\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m gds \u001b[38;5;241m=\u001b[39m \u001b[43mGraphDataScience\u001b[49m\u001b[43m(\u001b[49m\u001b[43mNEO4J_URI\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mNEO4J_AUTH\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mNEO4J_DB\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m nodes \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\n\u001b[1;32m 12\u001b[0m {\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnodeId\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 17\u001b[0m }\n\u001b[1;32m 18\u001b[0m )\n\u001b[1;32m 20\u001b[0m relationships \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(\n\u001b[1;32m 21\u001b[0m {\n\u001b[1;32m 22\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msourceNodeId\u001b[39m\u001b[38;5;124m\"\u001b[39m: [\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m],\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 26\u001b[0m }\n\u001b[1;32m 27\u001b[0m )\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/graph_data_science.py:71\u001b[0m, in \u001b[0;36mGraphDataScience.__init__\u001b[0;34m(self, endpoint, auth, aura_ds, database, arrow, arrow_disable_server_verification, arrow_tls_root_certs, bookmarks)\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner \u001b[38;5;241m=\u001b[39m endpoint\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 71\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner \u001b[38;5;241m=\u001b[39m \u001b[43mNeo4jQueryRunner\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maura_ds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbookmarks\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query_runner\u001b[38;5;241m.\u001b[39mserver_version()\n\u001b[1;32m 75\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m arrow \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m ServerVersion(\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m0\u001b[39m):\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:48\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.create\u001b[0;34m(endpoint, auth, aura_ds, database, bookmarks, server_version)\u001b[0m\n\u001b[1;32m 44\u001b[0m Neo4jQueryRunner\u001b[38;5;241m.\u001b[39m_configure_aura(config)\n\u001b[1;32m 46\u001b[0m driver \u001b[38;5;241m=\u001b[39m neo4j\u001b[38;5;241m.\u001b[39mGraphDatabase\u001b[38;5;241m.\u001b[39mdriver(endpoint, auth\u001b[38;5;241m=\u001b[39mauth, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mconfig)\n\u001b[0;32m---> 48\u001b[0m query_runner \u001b[38;5;241m=\u001b[39m \u001b[43mNeo4jQueryRunner\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 49\u001b[0m \u001b[43m \u001b[49m\u001b[43mdriver\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 50\u001b[0m \u001b[43m \u001b[49m\u001b[43mauto_close\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 51\u001b[0m \u001b[43m \u001b[49m\u001b[43mbookmarks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbookmarks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 52\u001b[0m \u001b[43m \u001b[49m\u001b[43mconfig\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 53\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 54\u001b[0m \u001b[43m \u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 55\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(endpoint, neo4j\u001b[38;5;241m.\u001b[39mDriver):\n\u001b[1;32m 58\u001b[0m query_runner \u001b[38;5;241m=\u001b[39m Neo4jQueryRunner(endpoint, auto_close\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, bookmarks\u001b[38;5;241m=\u001b[39mbookmarks, database\u001b[38;5;241m=\u001b[39mdatabase)\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:96\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.__init__\u001b[0;34m(self, driver, config, database, auto_close, bookmarks, server_version)\u001b[0m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bookmarks \u001b[38;5;241m=\u001b[39m bookmarks\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_last_bookmarks: Optional[Any] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m---> 96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version \u001b[38;5;241m=\u001b[39m server_version \u001b[38;5;28;01mif\u001b[39;00m server_version \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mserver_version\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:213\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.server_version\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_server_version\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 213\u001b[0m server_version_string \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_cypher\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mRETURN gds.version()\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcustom_error\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39msqueeze()\n\u001b[1;32m 214\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ServerVersion\u001b[38;5;241m.\u001b[39mfrom_string(server_version_string)\n\u001b[1;32m 215\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:111\u001b[0m, in \u001b[0;36mNeo4jQueryRunner.run_cypher\u001b[0;34m(self, query, params, database, custom_error)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m database \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 109\u001b[0m database \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_database\n\u001b[0;32m--> 111\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_verify_connectivity\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdatabase\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 113\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_driver\u001b[38;5;241m.\u001b[39msession(database\u001b[38;5;241m=\u001b[39mdatabase, bookmarks\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbookmarks()) \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[1;32m 114\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", - "File \u001b[0;32m/opt/anaconda3/envs/dackar_libs/lib/python3.11/site-packages/graphdatascience/query_runner/neo4j_query_runner.py:374\u001b[0m, in \u001b[0;36mNeo4jQueryRunner._verify_connectivity\u001b[0;34m(self, database)\u001b[0m\n\u001b[1;32m 371\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retrys \u001b[38;5;241m%\u001b[39m WARN_INTERVAL \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_logger\u001b[38;5;241m.\u001b[39mwarning(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to connect to the Neo4j DBMS. Trying again...\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 374\u001b[0m time\u001b[38;5;241m.\u001b[39msleep(WAIT_TIME)\n\u001b[1;32m 375\u001b[0m retrys \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 377\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], + "outputs": [], "source": [ - "import pandas as pd\n", - "from graphdatascience import GraphDataScience\n", - "\n", - "\n", - "# Get Neo4j DB URI, credentials and name from environment if applicable\n", - "NEO4J_URI = os.environ.get(\"NEO4J_URI\", \"bolt://localhost:7687\")\n", - "NEO4J_AUTH = None\n", - "NEO4J_DB = os.environ.get(\"NEO4J_DB\", \"neo4j\")\n", - "gds = GraphDataScience(NEO4J_URI, auth=NEO4J_AUTH, database=NEO4J_DB)\n", - "\n", - "nodes = pd.DataFrame(\n", - " {\n", - " \"nodeId\": [0, 1, 2, 3],\n", - " \"labels\": [\"A\", \"B\", \"C\", \"A\"],\n", - " \"prop1\": [42, 1337, 8, 0],\n", - " \"otherProperty\": [0.1, 0.2, 0.3, 0.4]\n", - " }\n", - ")\n", - "\n", - "relationships = pd.DataFrame(\n", - " {\n", - " \"sourceNodeId\": [0, 1, 2, 3],\n", - " \"targetNodeId\": [1, 2, 3, 0],\n", - " \"relationshipType\": [\"REL\", \"REL\", \"REL\", \"REL\"],\n", - " \"weight\": [0.0, 0.0, 0.1, 42.0]\n", - " }\n", - ")\n", - "\n", - "G = gds.graph.construct(\n", - " \"my-graph\", # Graph name\n", - " nodes, # One or more dataframes containing node data\n", - " relationships # One or more dataframes containing relationship data\n", - ")\n", - "\n", - "assert \"REL\" in G.relationship_types()\n" + "test.dumpDGSgraph('test')" ] } ], From a462365c123f2f3cccdff652816432c8246f5271 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Mon, 4 Nov 2024 11:42:11 -0700 Subject: [PATCH 06/11] edits --- others/tagKeywordListReader.py | 26 +++++++++++++------------- src/dackar/utils/mbse/LMLparser.py | 6 +++--- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/others/tagKeywordListReader.py b/others/tagKeywordListReader.py index b9f8972..485a1a6 100644 --- a/others/tagKeywordListReader.py +++ b/others/tagKeywordListReader.py @@ -92,7 +92,7 @@ def __init__(self,fileName): Initialization method Args: - fileName, string, file containing nuclear related entities + fileName, string, file containing nuclear related entities Returns: @@ -101,10 +101,10 @@ def __init__(self,fileName): self.library = self.keyWordListGenerator(fileName) self.cleanTagDict() self.expander() - + def checker(self): """ - Method designed to check the structure of the set of nuclear related entities and identify entities + Method designed to check the structure of the set of nuclear related entities and identify entities that might share multiple labels Args: @@ -120,7 +120,7 @@ def checker(self): commonElements = list(set(self.library[key1]).intersection(self.library[key2])) if key1!=key2 and commonElements: print('Elements in common between ' +str(key1)+ ' and ' +str(key2)+ ' are:' + str(commonElements)) - + def getLibrary(self): """ Method designed to return self.library @@ -134,7 +134,7 @@ def getLibrary(self): self.library, dict, dictionary containing for each label a list of entities """ return self.library - + def getAcronymsDict(self): """ Method designed to return self.acronymsDict @@ -146,7 +146,7 @@ def getAcronymsDict(self): Returns: self.acronymsDict, dict, dictionary containing the acronyms contained in the library - """ + """ return self.acronymsDict def expander(self): @@ -162,7 +162,7 @@ def expander(self): Returns: None - """ + """ for key in self.library.keys(): for elem in self.library[key]: if '-' in elem: @@ -171,10 +171,10 @@ def expander(self): def keyWordListGenerator(self, fileName): - """ + """ Method designed to read the file and generate a dictionary which contains, for each tag, the set of keywords that should be associate to such tag. - + Args: fileName, string, file containing nuclear related entities @@ -182,7 +182,7 @@ def keyWordListGenerator(self, fileName): Returns: tagsDict, dict, dictionary containing for each label a list of entities - """ + """ df = pd.read_excel(fileName, None) # retrieve list of sheets in excel file @@ -209,12 +209,12 @@ def keyWordListGenerator(self, fileName): def cleanTagDict(self): - """ + """ Method designed to clean the dictionary generated by the method keyWordListGenerator(.) Here, specific characters or sub strings are removed. In addition, if an acronym is defined (within round parentheses), then the acronyms_dict is populated {acronym: acronym_definition} - + Args: None @@ -222,7 +222,7 @@ def cleanTagDict(self): Returns: None - """ + """ self.acronymsDict = {} n_keywords = 0 diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index 39ebad6..eadb7b0 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -251,10 +251,10 @@ def cleanedGraph(self): self.cleanedGraph.remove_nodes_from(self.linkEntities) return self.cleanedGraph - + def printOnFile(self, name, csv=True): """ - This method is designed to print on file the graph from networkx. + This method is designed to print on file the graph from networkx. This is to test a method to import a graph into neo4j as indicated in: https://stackoverflow.com/questions/52210619/how-to-import-a-networkx-graph-to-neo4j Args: @@ -324,7 +324,7 @@ def dumpDGSgraph(self, name): "targetNodeId": [], "type" : [] } - + for index,edge in enumerate(NXedges): father = [key for key, val in mapping.items() if val == edge[0]][0] child = [key for key, val in mapping.items() if val == edge[1]][0] From 218809b5677f5a6e79d2d0cd15ac8dd92399bc4a Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Mon, 4 Nov 2024 13:49:37 -0700 Subject: [PATCH 07/11] edits --- tests/LML_parser/LML_functionality_test.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index 408f8c9..af57d41 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -147,7 +147,7 @@ "metadata": { "hide_input": false, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "dackar_libs", "language": "python", "name": "python3" }, @@ -161,7 +161,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.11.8" } }, "nbformat": 4, From 8daf36e1347253da6335d0560c1d7eec21bbe920 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Tue, 5 Nov 2024 13:19:12 -0700 Subject: [PATCH 08/11] cleaning file --- src/dackar/utils/mbse/LMLparser.py | 19 +++++-------------- 1 file changed, 5 insertions(+), 14 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index eadb7b0..8f6f686 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -328,21 +328,12 @@ def dumpDGSgraph(self, name): for index,edge in enumerate(NXedges): father = [key for key, val in mapping.items() if val == edge[0]][0] child = [key for key, val in mapping.items() if val == edge[1]][0] - relationships['sourceNodeId'].append(father) # mapping[edge[0]] - relationships['targetNodeId'].append(child) #mapping[edge[1]] + relationships['sourceNodeId'].append(father) + relationships['targetNodeId'].append(child) relationships['type'].append(edge[2]) relationships = pd.DataFrame(relationships) - ''' - self.G = gds.graph.construct( - name, # Graph name - nodes, # One or more dataframes containing node data - relationships # One or more dataframes containing relationship data - ) - - return self.G''' - nodes.to_csv(name+'_nodes.csv') relationships.to_csv(name+'_edges.csv') @@ -358,9 +349,9 @@ def parseEntityDescription(text): Returns: - out : tuple, tuple containing the list of elements specified in square brackets and separated - by commas (e.g., ['FV304,'305']) and the link to an external MBSE model - (e.g., ('centrifugalPumpFull', 'body')) + out: tuple, tuple containing the list of elements specified in square brackets and separated + by commas (e.g., ['FV304,'305']) and the 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zZD&sz%-*$0?=WEBgMPaOwy4Iw)s!Ps3a`I_9p$612YUwXahwT!b4KRGonYJ8FWU8e zyT0ytI=>J0boYDBO)}?QuYYo?z1`XxlM!P>s{Jkp{LC6jE-jmKcz9sX5$MRDCI2c) zwWAVCEIR^z%z%aea2r~7OURtW(=qPT>w|Vr?$Nb+d6wX8GxW!*X^TDkR@X(Sy_c@+ zdj>7<-qO*W}VSN4I2^bzdQWKZ?#%5L#vqh8}>xq)n- z*9O4IUDdG{Fc>8!%r`cM7H1Vgqp>Ht&>qrtDFcJWL+y~DFI4}yraJyHJuD`c YDmgdv^;)AKnWF~XhoStYbxEH73wK9(KmY&$ From ef7dde2b8cb46b74b5139017aeef1305cfbb73f6 Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Thu, 21 Nov 2024 09:42:08 -0700 Subject: [PATCH 10/11] update pyproject --- pyproject.toml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 356c36a..087a9a0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,7 +31,9 @@ dependencies = [ "jupyterlab", "openpyxl", "quantulum3", - "python>=3.9" + "python>=3.9", + "plotly", + "xlrd" ] classifiers = [ "Programming Language :: Python :: 3", @@ -41,4 +43,4 @@ classifiers = [ ] [project.urls] -"Homepage" = "https://github.inl.gov/congjian-wang/DACKAR" +"Homepage" = "https://github.com/idaholab/DACKAR" From c33fa96bdcfa60cb26f0693e94cd0b49a33417de Mon Sep 17 00:00:00 2001 From: Diego Mandelli Date: Wed, 4 Dec 2024 12:38:58 -0700 Subject: [PATCH 11/11] final edits --- src/dackar/utils/mbse/LMLparser.py | 46 +++++++++++-------- tests/LML_parser/LML_functionality_test.ipynb | 30 ++++-------- 2 files changed, 37 insertions(+), 39 deletions(-) diff --git a/src/dackar/utils/mbse/LMLparser.py b/src/dackar/utils/mbse/LMLparser.py index ba53dc5..83d5d60 100644 --- a/src/dackar/utils/mbse/LMLparser.py +++ b/src/dackar/utils/mbse/LMLparser.py @@ -11,7 +11,7 @@ import re import networkx as nx import pandas as pd -import graphdatascience as gds +import csv class LMLobject(object): """ @@ -276,7 +276,7 @@ def printOnFile(self, name, csv=True): nx.write_graphml(self.LMLgraph, name) - def dumpDGSgraph(self, name): + def dumpNodesEdgesFiles(self, name): """ This method is designed to save the graph structure into gds entity See Example 3.2 in https://neo4j.com/docs/graph-data-science-client/current/graph-object/ @@ -290,35 +290,39 @@ def dumpDGSgraph(self, name): """ NXnodes = list(self.LMLgraph.nodes(data=True)) NXedges = list(self.LMLgraph.edges) - mapping = {} nodes = { "nodeId": [], - "labels": [], + "label": [], "ID": [], "type": [] } for index,node in enumerate(NXnodes): nodes['nodeId'].append(index) - nodeInfo = node mapping[index] = node[0] + nodeInfo = node[0] + + if len(nodeInfo)==2: + if nodeInfo[0] == 'None': + nodes['label'].append(nodeInfo[1]) + nodes['ID'].append(nodeInfo[1]) - if nodeInfo[0] is None: - nodes['labels'].append(nodeInfo[1]) - nodes['ID'].append(nodeInfo[1]) - - elif nodeInfo[1] is None: - nodes['labels'].append(nodeInfo[0]) - nodes['ID'].append(nodeInfo[0]) + elif nodeInfo[1] is None: + nodes['label'].append(nodeInfo[0]) + nodes['ID'].append('None') + else: + nodes['label'].append(nodeInfo[0]) + nodes['ID'].append(nodeInfo[1]) + + nodes['type'].append(node[1]['key']) else: - nodes['labels'].append(nodeInfo[0]) - nodes['ID'].append(nodeInfo[1]) - - nodes['type'].append(node[1]['key']) + nodes['label'].append('pipe') + nodes['ID'].append(nodeInfo) + nodes['type'].append('LML_link') nodes = pd.DataFrame(nodes) @@ -337,8 +341,8 @@ def dumpDGSgraph(self, name): relationships = pd.DataFrame(relationships) - nodes.to_csv(name+'_nodes.csv') - relationships.to_csv(name+'_edges.csv') + nodes.to_csv(name+'_nodes.csv',index=False, quoting=csv.QUOTE_NONE) + relationships.to_csv(name+'_edges.csv',index=False) def parseEntityDescription(text): @@ -358,8 +362,12 @@ def parseEntityDescription(text): """ if '[' in text: + listOfElems = [] txtPortion1 = text[text.find("[")+1:text.find("]")] - listOfElems = txtPortion1.split(';') + listOfElemstemp = txtPortion1.split(';') + for elem in listOfElemstemp: + temp=elem[elem.find("(")+1:elem.find(")")].split(',') + listOfElems.append((temp[0],temp[1])) else: listOfElems = None diff --git a/tests/LML_parser/LML_functionality_test.ipynb b/tests/LML_parser/LML_functionality_test.ipynb index af57d41..395143d 100644 --- a/tests/LML_parser/LML_functionality_test.ipynb +++ b/tests/LML_parser/LML_functionality_test.ipynb @@ -10,7 +10,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Warming up PyWSD (takes ~10 secs)... took 2.1339969635009766 secs.\n" + "Warming up PyWSD (takes ~10 secs)... took 2.2615249156951904 secs.\n" ] } ], @@ -46,7 +46,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -104,14 +104,14 @@ { "data": { "text/plain": [ - "['PM1',\n", - " 'cond1',\n", - " '(None,C3)',\n", - " '(None,V3)',\n", + "[('None', 'V2'),\n", " 'PM2',\n", - " '(None,V2)',\n", - " '(level sensor,S3)',\n", - " '(None,V1)']" + " ('level sensor', 'S3'),\n", + " ('None', 'C3'),\n", + " 'PM1',\n", + " 'cond1',\n", + " ('None', 'V3'),\n", + " ('None', 'V1')]" ] }, "execution_count": 5, @@ -126,21 +126,11 @@ { "cell_type": "code", "execution_count": 6, - "id": "c47b889c", - "metadata": {}, - "outputs": [], - "source": [ - "test.printOnFile('test')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, "id": "1684406c", "metadata": {}, "outputs": [], "source": [ - "test.dumpDGSgraph('test')" + "test.dumpNodesEdgesFiles('test')" ] } ],