added first intent and lookup table(entities and synonyms)

This commit is contained in:
pyt0xic 2021-09-30 22:48:46 +02:00
parent faefd94f2a
commit 1e6cbc386a
12 changed files with 53510 additions and 45382 deletions

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@ -9,7 +9,12 @@ Still alot of work to be done but for those wanting to test anyway, see below
$ rasa train
$ rasa shell
Or use --debug flag to help you understand what's going on
$ rasa shell --debug
## Credits
Thanks to the [PsychoautWiki](https://psychonautwiki.org/wiki/Main_Page) and [TripSit](https://tripsit.me) for the data.
Special thanks to [NoahSaso](https://github.com/NoahSaso) for his [scraper](https://github.com/NoahSaso/merge-psychonautwiki-tripsit-data)

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@ -3,6 +3,8 @@ pipeline:
- name: WhitespaceTokenizer
token_pattern: (?u)\b\w+\b
- name: RegexFeaturizer
use_word_boundaries: false
case_sensitive: false
- name: LexicalSyntacticFeaturizer
- name: CountVectorsFeaturizer
# OOV_token: oov
@ -11,7 +13,7 @@ pipeline:
min_ngram: 1
max_ngram: 4
- name: DIETClassifier
epochs: 100
epochs: 10
ranking_length: 10
# - name: DucklingEntityExtractor
# url: http://localhost:8000

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data/lookups/substances.yml Normal file

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@ -21,3 +21,8 @@ rules:
steps:
- intent: out_of_scope
- action: utter_out_of_scope
- rule: what is drug
steps:
- intent: what_is_substance
- action: utter_what_is_stubstace

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@ -23,16 +23,23 @@ intents:
- contact
- inform
- restart
- what_is_substance
entities:
- language
- location
- name
- substance
slots:
name:
type: text
influence_conversation: true
substance:
type: text
influence_conversation: true
auto_fill: true
responses:
utter_ask_name:
@ -127,6 +134,8 @@ responses:
- text: That depends on which you are using and, most importantly, how you are using them...
utter_faq/drugs_legal:
- text: Probably but it depends on where you are and what drugs
utter_what_is_stubstace:
- text: It is {substance}
utter_out_of_scope/non_english:
- text: No hablo english

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substances_data.json Normal file
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@ -1,3 +1,25 @@
"""MIT License
Copyright (c) 2021 Noah Saso
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE."""
#!/usr/bin/env python3
# downloads and exports data on all substances from psychonautwiki and tripsit factsheets, combining to form master list with standardized format
@ -6,12 +28,12 @@
import requests
from bs4 import BeautifulSoup
from time import time, sleep
from python_graphql_client import GraphqlClient
import json
import os
import re
import traceback
from intentGen import intentGen
headers = {
"Access-Control-Allow-Origin": "*",
@ -552,7 +574,54 @@ for name in all_substance_names:
# output
substances_json = {}
substances_json["substances"] = substance_data
with open(f"ts_pn_data/substances_data.json", "w") as f:
json.dump(substances_json, fp=f, ensure_ascii=False, indent=2)
substances_json = json.dumps(substance_data, indent=2, ensure_ascii=False)
with open(f"ts_pn_data/substances_{time()}.json", "w") as f:
f.write(substances_json)
substance_aliases = {}
with open("data/lookups/substances.yml", "w") as fp:
# Lookup Table
fp.write("""version: "2.0"\nnlu:\n- lookup: substance\n examples: |\n""")
for drug in substances_json["substances"]:
fp.write(f" - {drug['name']}\n")
# Add aliases to lookup table too
for y in drug["aliases"]:
# Check for "or" in aliases and remove
if " or " in y:
aliases = y.split(" or ")
fp.write(f" - {aliases[0]}\n")
fp.write(f" - {aliases[1]}\n")
elif "or " in y:
aliases = y.split("or ")
fp.write(f" - {aliases[1]}\n")
else:
fp.write(f" - {y}\n")
fp.write("\n")
# Synonyms to map aliases to one entity
for drug in substances_json["substances"]:
# Skip adding synonym if there are no aliases
substance_aliases[drug["name"]] = []
if drug["aliases"] == []:
continue
fp.write(f"- synonym: {drug['name']}\n examples: |\n")
for y in drug["aliases"]:
# Check for "or" in aliases and remove
if " or " in y:
aliases = y.split(" or ")
fp.write(f" - {aliases[0]}\n")
fp.write(f" - {aliases[1]}\n")
substance_aliases[drug["name"]].append(aliases[0])
substance_aliases[drug["name"]].append(aliases[1])
elif "or " in y:
aliases = y.split("or ")
fp.write(f" - {aliases[1]}\n")
substance_aliases[drug["name"]].append(aliases[1])
else:
fp.write(f" - {y}\n")
substance_aliases[drug["name"]].append(y)
with open("ts_pn_data/generated_intents.yml", "w") as fp:
fp.write(intentGen(substance_aliases).what_is())

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ts_pn_data/intentGen.py Normal file
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@ -0,0 +1,38 @@
from secrets import choice, randbelow
class intentGen:
def __init__(self, substances):
self.names = []
for x in substances:
self.names.append(x)
if not substances[x] == []:
for y in substances[x]:
self.names.append(y)
def parse(self, intent_name, intent_list):
intent_str = f"- intent: {intent_name}\n examples: |\n"
for x in intent_list:
intent_str = "".join([intent_str, f" - {x}\n"])
return intent_str
def what_is(self):
what_is_intents = []
for name in self.names:
unlikely_chance = randbelow(10)
templates = [
f"what is [{name}](substance)?",
f"what is [{name}](substance)",
f"whats [{name}](substance)",
f"what's [{name}](substance)?",
f"what [{name}](substance)",
]
what_is_intents.append(choice(templates))
if unlikely_chance > 6:
unlikely_templates = [
f"[{name}](substance)?",
f"[{name}](substance) is what?",
f"[{name}](substance) is?",
]
what_is_intents.append(choice(unlikely_templates))
return self.parse("what_is_substance", intent_list=what_is_intents)

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