Fixed Google Colab link in week 3 day 4, and latest week 8 updates

week8_wip/agents/scanner_agent.py

@@ -0,0 +1,46 @@
+import os
+import json
+from openai import OpenAI
+from agents.deals import Deal, QualityDealSelection
+
+class ScannerAgent:
+
+    MODEL = "gpt-4o-mini"
+
+    SYSTEM_PROMPT = """You identify and summarize the 5 most detailed deals from a list, by selecting deals that have the most detailed, high quality description and the most clear price.
+    Respond strictly in JSON with no explanation, using this format. You should provide the price as a number derived from the description. If the price of a deal isn't clear, do not include that deal in your response.
+    Most important is that you respond with the 5 deals that have the most detailed product description with price. It's not important to mention the terms of the deal; most important is a thorough description of the product.
+    
+    {"quality_deals": [
+        {
+            "product_description": "Your clearly expressed summary of the product in 4-5 sentences. Details of the item are much more important than why it's a good deal. Avoid mentioning discounts and coupons; focus on the item itself. There should be a paragpraph of text for each item you choose.",
+            "price": 99.99,
+            "url": "the url as provided"
+        },
+        ...
+    ]}"""
+    
+    USER_PROMPT_PREFIX = """Respond with the most promising 5 deals from this list, selecting those which have the most detailed, high quality product description and a clear price.
+    Respond strictly in JSON, and only JSON. You should rephrase the description to be a summary of the product itself, not the terms of the deal.
+    Remember to respond with a paragraph of text in the product_description field for each of the 5 items that you select.
+    
+    Deals:
+    
+    """
+
+    def __init__(self):
+        self.openai = OpenAI()
+
+    def scan(self) -> QualityDealSelection:
+        deals = Deal.fetch()
+        user_prompt = self.USER_PROMPT_PREFIX + '\n\n'.join([deal.describe() for deal in deals])
+        completion = self.openai.beta.chat.completions.parse(
+            model=self.MODEL,
+            messages=[
+                {"role": "system", "content": self.SYSTEM_PROMPT},
+                {"role": "user", "content": user_prompt}
+          ],
+            response_format=QualityDealSelection
+        )
+        result = completion.choices[0].message.parsed
+        return result