Update semantic equivalence docs

- Comparing object type not in config dictionary now gives a warning and
result of 0 instead of an error.
- Adds an example of the new detailed debug output.
master
Chris Lenk 2019-10-16 09:08:03 -04:00
parent ec115b3586
commit b5612c9dc2
1 changed files with 220 additions and 9 deletions

View File

@ -270,7 +270,7 @@
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@ -286,10 +286,10 @@
"from stix2.v21 import Campaign\n", "from stix2.v21 import Campaign\n",
"\n", "\n",
"c1 = Campaign(\n", "c1 = Campaign(\n",
" name=\"there\",)\n", " name=\"Someone Attacks Somebody\",)\n",
"\n", "\n",
"c2 = Campaign(\n", "c2 = Campaign(\n",
" name=\"something\",)\n", " name=\"Another Campaign\",)\n",
"print(env.semantically_equivalent(c1, c2))" "print(env.semantically_equivalent(c1, c2))"
] ]
}, },
@ -1144,7 +1144,7 @@
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"metadata": {}, "metadata": {},
"source": [ "source": [
"Some object types do not have a defined method for calculating semantic equivalence and by default will raise an [error](../api/stix2.exceptions.rst#stix2.exceptions.SemanticEquivalenceUnsupportedTypeError)." "Some object types do not have a defined method for calculating semantic equivalence and by default will give a warning and a result of zero."
] ]
}, },
{ {
@ -1153,12 +1153,93 @@
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"ename": "SemanticEquivalenceUnsupportedTypeError", "name": "stderr",
"evalue": "report type has no semantic equivalence implementation!", "output_type": "stream",
"output_type": "error", "text": [
"traceback": [ "'report' type has no semantic equivalence method to call!\n"
"\u001b[0;31mSemanticEquivalenceUnsupportedTypeError\u001b[0m\u001b[0;31m:\u001b[0m report type has no semantic equivalence implementation!\n"
] ]
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@ -1448,6 +1529,136 @@
"}\n", "}\n",
"print(env.semantically_equivalent(foo1, foo2, **weights))" "print(env.semantically_equivalent(foo1, foo2, **weights))"
] ]
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"### Detailed Results\n",
"\n",
"If your logging level is set to `DEBUG` or higher, the function will log more detailed results. These show the semantic equivalence and weighting for each property that is checked, to show how the final result was arrived at."
]
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"text": [
"Starting semantic equivalence process between: 'threat-actor--54dc2aac-6fde-4a68-ae2a-0c0bc575ed70' and 'threat-actor--c51bce3b-a067-4692-ab77-fcdefdd3f157'\n",
"--\t\tpartial_string_based 'Evil Org' 'James Bond'\tresult: '0.56'\n",
"'name' check -- weight: 60, contributing score: 33.6\n",
"--\t\tpartial_list_based '['crime-syndicate']' '['spy']'\tresult: '0.0'\n",
"'threat_actor_types' check -- weight: 20, contributing score: 0.0\n",
"--\t\tpartial_list_based '['super-evil']' '['007']'\tresult: '0.0'\n",
"'aliases' check -- weight: 20, contributing score: 0.0\n",
"Matching Score: 33.6, Sum of Weights: 100.0\n"
]
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"import logging\n",
"logging.basicConfig(format='%(message)s')\n",
"logger = logging.getLogger()\n",
"logger.setLevel(logging.DEBUG)\n",
"\n",
"ta3 = ThreatActor(\n",
" threat_actor_types=[\"crime-syndicate\"],\n",
" name=\"Evil Org\",\n",
" aliases=[\"super-evil\"],\n",
")\n",
"ta4 = ThreatActor(\n",
" threat_actor_types=[\"spy\"],\n",
" name=\"James Bond\",\n",
" aliases=[\"007\"],\n",
")\n",
"print(env.semantically_equivalent(ta3, ta4))"
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