Update groq_api.py

groq_api.py

@@ -3,17 +3,24 @@
 import os
 import requests
 
-GROQ_API_KEY ="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"
+GROQ_API_KEY = "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"
 
 def summarize_match(job_description, cv_names, cv_snippets):
     if not GROQ_API_KEY:
         return "❌ GROQ_API_KEY not set."
 
     try:
-        # Safeguard input
+        # Safety checks
         job_description = job_description.strip() or "[No description]"
+        cv_names = cv_names[:3]
+        cv_snippets = [s[:400] for s in cv_snippets[:3]]  # shorten per snippet
+
+        if not cv_snippets or not any(cv_snippets):
+            return "❌ No valid CV content to summarize."
+
+        # Format prompt
         cv_info = "\n\n".join([
-            f"{cv_names[i]}:\n{cv_snippets[i].strip() or '[No content]'}"
+            f"{cv_names[i]}:\n{cv_snippets[i] or '[No content]'}"
             for i in range(len(cv_names))
         ])
 
@@ -28,12 +35,13 @@ A company has the following job description:
 Here are the top 3 candidate CVs (partial content):
 {cv_info}
 
-Please summarize why these candidates are relevant for the job.
-"""
+Please summarize why these candidates are a good fit for the job.
+""".strip()
 
-        print("=== Prompt Sent to Groq ===")
-        print(prompt[:1500])  # show only first 1500 chars
+        print("📦 Prompt size (chars):", len(prompt))
+        print("📦 Prompt preview:\n", prompt[:800])  # trim to preview
 
+        # Call Groq
         response = requests.post(
             url="https://api.groq.com/openai/v1/chat/completions",
             headers={
@@ -51,5 +59,5 @@ Please summarize why these candidates are relevant for the job.
         response.raise_for_status()
         return response.json()["choices"][0]["message"]["content"]
 
-    except Exception as e:
+    except requests.exceptions.RequestException as e:
         return f"❌ Groq API error: {e}"