"cells": [
{
"cell_type": "code",
- "execution_count": 100,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 51,
+ "metadata": {},
"outputs": [],
"source": [
- "import yaml\n",
+ "# import yaml\n",
+ "import json\n",
"import collections\n",
"import random"
]
},
{
"cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 52,
+ "metadata": {},
"outputs": [],
"source": [
"Match = collections.namedtuple('Match', 'text, rule, bindings')"
},
{
"cell_type": "code",
- "execution_count": 169,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# def read_rules_y(rules_file):\n",
+ "# with open(rules_file) as f:\n",
+ "# rules = [{'pattern': r['pattern'].split(),\n",
+ "# 'responses': [t.split() for t in r['responses']]}\n",
+ "# for r in yaml.safe_load(f)]\n",
+ "# return rules\n",
+ "\n",
+ "# all_rules_y = read_rules_y('rules.yaml')\n",
+ "# all_rules_y"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
"outputs": [
{
"data": {
" [\"i'm\", 'sure', \"it's\", 'not', 'pleasant', 'to', 'be', 'unhappy']]},\n",
" {'pattern': ['?X', 'are', 'like', '?Y'],\n",
" 'responses': [['what',\n",
- " 'resemblence',\n",
+ " 'resemblance',\n",
" 'do',\n",
" 'you',\n",
" 'see',\n",
" 'things']]}]"
]
},
- "execution_count": 169,
+ "execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
" with open(rules_file) as f:\n",
" rules = [{'pattern': r['pattern'].split(),\n",
" 'responses': [t.split() for t in r['responses']]}\n",
- " for r in yaml.load(f)]\n",
+ " for r in json.load(f)]\n",
" return rules\n",
"\n",
- "all_rules = read_rules('rules.yaml')\n",
+ "all_rules = read_rules('rules.json')\n",
"all_rules"
]
},
{
"cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 55,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "> tom dick harry\n"
+ "> hello there\n"
]
},
{
"data": {
"text/plain": [
- "['tom', 'dick', 'harry']"
+ "['hello', 'there']"
]
},
- "execution_count": 4,
+ "execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 102,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 56,
+ "metadata": {},
"outputs": [],
"source": [
"def match(text, rule):\n",
},
{
"cell_type": "code",
- "execution_count": 240,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 57,
+ "metadata": {},
"outputs": [],
"source": [
"def all_matches(matches):\n",
},
{
"cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 58,
+ "metadata": {},
"outputs": [],
"source": [
"def is_var(word):\n",
},
{
"cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 59,
+ "metadata": {},
"outputs": [],
"source": [
"def successful_match(match):\n",
},
{
"cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 60,
+ "metadata": {},
"outputs": [],
"source": [
"def splits(item):\n",
},
{
"cell_type": "code",
- "execution_count": 25,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 61,
+ "metadata": {},
"outputs": [
{
"data": {
" ('harry', '')]"
]
},
- "execution_count": 25,
+ "execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 236,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 62,
+ "metadata": {},
"outputs": [],
"source": [
"def match_item(text, rule, bindings):\n",
},
{
"cell_type": "code",
- "execution_count": 213,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 63,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': ['fred'], '?Y': ['jane']}]"
]
},
- "execution_count": 213,
+ "execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 214,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 64,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': [], '?Y': ['jane']}]"
]
},
- "execution_count": 214,
+ "execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 215,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 65,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': ['fred'], '?Y': []}]"
]
},
- "execution_count": 215,
+ "execution_count": 65,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 216,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 66,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': [], '?Y': []}]"
]
},
- "execution_count": 216,
+ "execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 217,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 67,
+ "metadata": {},
"outputs": [
{
"data": {
"[]"
]
},
- "execution_count": 217,
+ "execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 218,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 68,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': ['fred']}]"
]
},
- "execution_count": 218,
+ "execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 219,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 69,
+ "metadata": {},
"outputs": [
{
"data": {
"[]"
]
},
- "execution_count": 219,
+ "execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 220,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 70,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': ['yes'], '?Y': ['rain']}]"
]
},
- "execution_count": 220,
+ "execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 221,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 71,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': ['no'], '?Y': ['rain']}]"
]
},
- "execution_count": 221,
+ "execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 222,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 72,
+ "metadata": {},
"outputs": [
{
"data": {
"[]"
]
},
- "execution_count": 222,
+ "execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 223,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 73,
+ "metadata": {},
"outputs": [
{
"data": {
"[{'?X': [], '?Y': ['rain']}]"
]
},
- "execution_count": 223,
+ "execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 241,
+ "execution_count": 74,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
" {'?X': ['hello'], '?Y': ['there']}]"
]
},
- "execution_count": 241,
+ "execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 242,
+ "execution_count": 75,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
"[{'?X': ['hello']}]"
]
},
- "execution_count": 242,
+ "execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 244,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 76,
+ "metadata": {},
"outputs": [
{
"data": {
" {'?X': ['hello', 'hello', 'hello'], '?Y': []}]"
]
},
- "execution_count": 244,
+ "execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 245,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 77,
+ "metadata": {},
"outputs": [
{
"data": {
" {'?X': ['hello'], '?Y': ['hello']}]"
]
},
- "execution_count": 245,
+ "execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 196,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 78,
+ "metadata": {},
"outputs": [],
"source": [
"def candidate_rules(rules, comment):\n",
},
{
"cell_type": "code",
- "execution_count": 197,
+ "execution_count": 79,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
" {'?X': ['i', 'remember', 'rain']})]"
]
},
- "execution_count": 197,
+ "execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 198,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 80,
+ "metadata": {},
"outputs": [],
"source": [
"def fill(response, bindings):\n",
},
{
"cell_type": "code",
- "execution_count": 202,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 81,
+ "metadata": {},
"outputs": [
{
"data": {
"'do you often think of rain'"
]
},
- "execution_count": 202,
+ "execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 165,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 82,
+ "metadata": {},
"outputs": [],
"source": [
"pronoun_swaps = {\n",
},
{
"cell_type": "code",
- "execution_count": 166,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 83,
+ "metadata": {},
"outputs": [
{
"data": {
"{'?X': ['your', 'father'], '?Y': ['you', 'are', 'your', 'brother', 'keeper']}"
]
},
- "execution_count": 166,
+ "execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 101,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 84,
+ "metadata": {},
"outputs": [],
"source": [
"def respond(rule, bindings):\n",
},
{
"cell_type": "code",
- "execution_count": 231,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 85,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['why', 'do', 'you', 'recall', 'rain', 'right', 'now']"
+ "['what', 'is', 'the', 'connection', 'between', 'me', 'and', 'rain']"
]
},
- "execution_count": 231,
+ "execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 167,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 86,
+ "metadata": {},
"outputs": [],
"source": [
"def eliza_loop():\n",
},
{
"cell_type": "code",
- "execution_count": 168,
+ "execution_count": 87,
"metadata": {
- "collapsed": false,
"scrolled": true
},
"outputs": [
"output_type": "stream",
"text": [
"Hello. I'm Eliza. What seems to be the problem?\n",
- "> this is weird\n",
- "i am not sure i understand you fully\n",
- "> i love my father\n",
- "your father\n",
- "> yes, my father\n",
- "what else comes to mind when you think of your father\n",
- "> i remember my father\n",
- "does thinking of your father bring anything else to mind\n",
- "> i remember i am a saint\n",
- "does thinking of you are a saint bring anything else to mind\n",
- "> saints are always happy\n",
- "really -- always\n",
- "> yes, always\n",
- "can you think of a specific example\n",
- "> saint george was happy when he killed the dragon\n",
- "go on\n",
- "> i don't think you understand me\n",
- "perhaps in your fantasies we don't think each other\n",
- "> i aardvark you understand me\n",
- "perhaps in your fantasies we aardvark each other\n",
- "> exit\n"
+ "> hello\n",
+ "how do you do. please state your problem\n",
+ "> i am sad about life\n",
+ "i'm sure it's not pleasant to be sad\n",
+ "> it isn't\n",
+ "very interesting\n",
+ "> are you happy\n",
+ "perhaps i am happy in your fantasies\n",
+ "> quit\n"
]
}
],
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": []
}
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2+"
+ "version": "3.7.4"
}
},
"nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
}
projects / eliza.git / blobdiff