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gargantext
Commit 94aba4b3 authored by Administrator's avatar Administrator
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[FEATURE] LISTS Admin register + TESTS

parent 5cfc0884
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Showing with 239 additions and 0 deletions
Listes.ipynb 0 → 100644
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{
"metadata": {
"name": "",
"signature": "sha256:3f50b37062cddfbe31615a30e24c87da3b196cf7a8ee08a57c80ab210e8bd205"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from node.models import Node, Ngram, Node_Ngram, NodeType, NodeNgramNgram\n",
"from django.contrib.auth.models import User"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"user = User.objects.get(username='alexandre')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"corpus = Node.objects.get(name='PubMed')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cr\u00e9ation des Listes"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"whitelist_type = NodeType.objects.get(name='WhiteList')\n",
"blacklist_type = NodeType.objects.get(name='BlackList')\n",
"\n",
"white_node = Node.objects.create(name='WhiteList Pubmed', user=user, parent=corpus, type=whitelist_type)\n",
"black_node = Node.objects.create(name='BlackList Pubmed', user=user, parent=corpus, type=blacklist_type)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cr\u00e9ation de la white list"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"with transaction.atomic():\n",
" for node_ngram_object in Node_Ngram.objects.all()[:100]:\n",
" Node_Ngram.objects.create(node=white_node, ngram=node_ngram_object.ngram, occurences=1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Node_Ngram.objects.filter(node=white_node)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
"[<Node_Ngram: WhiteList Pubmed: information>, <Node_Ngram: WhiteList Pubmed: agricultural species>, <Node_Ngram: WhiteList Pubmed: number>, <Node_Ngram: WhiteList Pubmed: onset>, <Node_Ngram: WhiteList Pubmed: process>, <Node_Ngram: WhiteList Pubmed: relationship>, <Node_Ngram: WhiteList Pubmed: health>, <Node_Ngram: WhiteList Pubmed: \" possible>, <Node_Ngram: WhiteList Pubmed: \" neonicotinoid>, <Node_Ngram: WhiteList Pubmed: criteria>, <Node_Ngram: WhiteList Pubmed: several candidate causes>, <Node_Ngram: WhiteList Pubmed: effort>, <Node_Ngram: WhiteList Pubmed: research>, <Node_Ngram: WhiteList Pubmed: full causal analysis>, <Node_Ngram: WhiteList Pubmed: formal causal analysis approach>, <Node_Ngram: WhiteList Pubmed: article>, <Node_Ngram: WhiteList Pubmed: \" probable>, <Node_Ngram: WhiteList Pubmed: contributing factor>, <Node_Ngram: WhiteList Pubmed: colony collapse disorder>, <Node_Ngram: WhiteList Pubmed: apis mellifera>, '...(remaining elements truncated)...']"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cr\u00e9ation de la black list"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"with transaction.atomic():\n",
" for node_ngram_object in Node_Ngram.objects.all()[101:150]:\n",
" Node_Ngram.objects.create(node=black_node, ngram=node_ngram_object.ngram, occurences=1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Node_Ngram.objects.filter(node=black_node)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"[<Node_Ngram: BlackList Pubmed: complete cessation>, <Node_Ngram: BlackList Pubmed: bee viruses>, <Node_Ngram: BlackList Pubmed: honey bee colonies>, <Node_Ngram: BlackList Pubmed: virus resistance>, <Node_Ngram: BlackList Pubmed: several honey bee viruses>, <Node_Ngram: BlackList Pubmed: experimental protocol>, <Node_Ngram: BlackList Pubmed: triggers>, <Node_Ngram: BlackList Pubmed: rna viruses>, <Node_Ngram: BlackList Pubmed: molecular pattern>, <Node_Ngram: BlackList Pubmed: correlates>, <Node_Ngram: BlackList Pubmed: honey bees>, <Node_Ngram: BlackList Pubmed: ccd>, <Node_Ngram: BlackList Pubmed: colonies>, <Node_Ngram: BlackList Pubmed: pathogens>, <Node_Ngram: BlackList Pubmed: viral pathogen>, <Node_Ngram: BlackList Pubmed: numerous agricultural crops>, <Node_Ngram: BlackList Pubmed: our results>, <Node_Ngram: BlackList Pubmed: infection>, <Node_Ngram: BlackList Pubmed: administration>, <Node_Ngram: BlackList Pubmed: work>, '...(remaining elements truncated)...']"
]
}
],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cr\u00e9ation des syonymes"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"syno_type = NodeType.objects.get(name='Synonyme')\n",
"syno_node = Node.objects.create(name='Syno Pubmed',\n",
" user=user, \n",
" parent=corpus, \n",
" type=syno_type)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"synonyme1, synonyme2 = Node_Ngram.objects.filter(node=white_node)[3:5]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"NodeNgramNgram.objects.create(node=syno_node, ngramX=synonyme1.ngram, ngramY=synonyme2.ngram)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 24,
"text": [
"<NodeNgramNgram: Syno Pubmed: onset / process>"
]
}
],
"prompt_number": 24
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Cooccurrence"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"white_node.pk"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": [
"173"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
\ No newline at end of file
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