Recipe: read sentiment and stance

curl https://api.thinqit.ai/v1/decide \
  -H "authorization: Bearer $DEX_API_KEY" \
  -H "content-type: application/json" \
  --data-binary @- <<'DEX_REQUEST'
{
  "state": {
    "review": {
      "product": "Monthly coffee subscription",
      "stars": 2,
      "text": "The beans are still good, but after the price went up from 18 to 24 euros a month I expected more than the same two bags. BrewBox gives you three bags for less. Cancelling at the end of the month unless something changes."
    }
  },
  "questions": {
    "sentiment": {
      "type": "rate",
      "instructions": "What is the overall sentiment of {{review.text}}?",
      "levels": ["Very negative", "Negative", "Neutral", "Positive", "Very positive"],
      "min_confidence": 0.3
    },
    "price_stance": {
      "type": "pick",
      "instructions": "What is the writer's stance on the price change in {{review.text}}?",
      "options": {
        "for": "Accepts or supports the new price",
        "against": "Objects to the new price",
        "neutral": "Mentions the price without taking a side",
        "not_mentioned": "Does not mention the price change"
      },
      "min_confidence": 0.5
    },
    "mentions_competitor": {
      "type": "check",
      "instructions": "Does {{review.text}} mention a competing product or company?",
      "min_confidence": 0.6
    }
  }
}
DEX_REQUEST

# Save as dex_request.py, then run: python dex_request.py
import json

from thinqit_dex import Client

client = Client()  # reads DEX_API_KEY from the environment

request = json.loads(r'''
{
  "state": {
    "review": {
      "product": "Monthly coffee subscription",
      "stars": 2,
      "text": "The beans are still good, but after the price went up from 18 to 24 euros a month I expected more than the same two bags. BrewBox gives you three bags for less. Cancelling at the end of the month unless something changes."
    }
  },
  "questions": {
    "sentiment": {
      "type": "rate",
      "instructions": "What is the overall sentiment of {{review.text}}?",
      "levels": ["Very negative", "Negative", "Neutral", "Positive", "Very positive"],
      "min_confidence": 0.3
    },
    "price_stance": {
      "type": "pick",
      "instructions": "What is the writer's stance on the price change in {{review.text}}?",
      "options": {
        "for": "Accepts or supports the new price",
        "against": "Objects to the new price",
        "neutral": "Mentions the price without taking a side",
        "not_mentioned": "Does not mention the price change"
      },
      "min_confidence": 0.5
    },
    "mentions_competitor": {
      "type": "check",
      "instructions": "Does {{review.text}} mention a competing product or company?",
      "min_confidence": 0.6
    }
  }
}
''')

decision = client.decide(
    request["state"],
    request["questions"],
)
for question_id, answer in decision.answers.items():
    print(question_id, answer)

// Save as dex-request.mts, then run: npx tsx dex-request.mts (Node.js 18 or newer)
import { Client, parseRequest } from "@thinqit/dex";

const client = new Client(); // reads DEX_API_KEY from the environment

// parseRequest keeps the key order of the text (JSON.parse would move labels such as "1" to the front).
const request = parseRequest(`{
  "state": {
    "review": {
      "product": "Monthly coffee subscription",
      "stars": 2,
      "text": "The beans are still good, but after the price went up from 18 to 24 euros a month I expected more than the same two bags. BrewBox gives you three bags for less. Cancelling at the end of the month unless something changes."
    }
  },
  "questions": {
    "sentiment": {
      "type": "rate",
      "instructions": "What is the overall sentiment of {{review.text}}?",
      "levels": ["Very negative", "Negative", "Neutral", "Positive", "Very positive"],
      "min_confidence": 0.3
    },
    "price_stance": {
      "type": "pick",
      "instructions": "What is the writer's stance on the price change in {{review.text}}?",
      "options": {
        "for": "Accepts or supports the new price",
        "against": "Objects to the new price",
        "neutral": "Mentions the price without taking a side",
        "not_mentioned": "Does not mention the price change"
      },
      "min_confidence": 0.5
    },
    "mentions_competitor": {
      "type": "check",
      "instructions": "Does {{review.text}} mention a competing product or company?",
      "min_confidence": 0.6
    }
  }
}`);

const decision = await client.decide(request);
console.log(decision.answers);

sentiment = decision.rate("sentiment")
if not sentiment.abstained:
    record_sentiment(review_id, sentiment.rating)  # 0 is very negative, 4 very positive

stance = decision.pick("price_stance")
if not stance.abstained and stance.choice == "against" and stars <= 2:
    alert_pricing_team(review_id)  # the words and the stars agree

competitor = decision.check("mentions_competitor")
if not competitor.abstained and competitor.probability >= 0.5:
    add_tag(review_id, "competitor")

const { sentiment, price_stance: stance, mentions_competitor: competitor } = decision.answers;

if (sentiment?.type === "rate" && !sentiment.abstained) {
  recordSentiment(reviewId, sentiment.rating); // 0 is very negative, 4 very positive
}
if (stance?.type === "pick" && !stance.abstained && stance.choice === "against" && stars <= 2) {
  alertPricingTeam(reviewId); // the words and the stars agree
}
if (competitor?.type === "check" && !competitor.abstained && competitor.probability >= 0.5) addTag(reviewId, "competitor");