Create scoring/quality.py

scoring/quality.py

@@ -0,0 +1,48 @@
+import os
+import openai
+import requests
+from bs4 import BeautifulSoup
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+def quality_score(entity: str) -> int:
+    """
+    If 'entity' is a URL:
+      • Fetch the first 2000 characters of its visible text.
+      • Ask GPT-4: "Rate this snippet 0–100 on combined Expertise, Authority, Trustworthiness."
+      • Return the integer score.
+    Else, return default 60.
+    """
+    if not entity.startswith("http"):
+        return 60
+
+    try:
+        resp = requests.get(entity, timeout=5)
+        text_snippet = BeautifulSoup(resp.text, "html.parser").get_text()[:2000]
+
+        prompt = (
+            "Below is the text snippet of a webpage. Rate it 0–100 on combined "
+            "Expertise, Authority, and Trustworthiness (E-E-A-T), and return just the integer score.\n\n"
+            f"{text_snippet}"
+        )
+        api_resp = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[{"role": "user", "content": prompt}]
+        )
+        content = api_resp.choices[0].message.content.strip()
+        digits = "".join(filter(str.isdigit, content))
+        if digits:
+            score = int(digits)
+            return max(0, min(score, 100))
+    except Exception:
+        pass
+
+    return 60
+
+def quality_recommendation(entity: str, score: int) -> str:
+    if score < 50:
+        return (
+            "Improve E-E-A-T: add author bylines, cite reputable sources, "
+            "and maintain factual consistency."
+        )
+    return "Content quality is strong; keep updating and citing reputable references."