From 49e567e049f4d56760668a883fa76f0fe3c600e3 Mon Sep 17 00:00:00 2001
From: Joshua M Clatney <95512470+Clats97@users.noreply.github.com>
Date: Fri, 17 Jan 2025 16:33:42 -0500
Subject: [PATCH] ClatSearch(1.00)

ClatSearch is a Python-powered tool that fetches real-time product data from Amazon and eBay using the Perplexity API. With a simple query, it provides detailed information, including price, ratings, descriptions, and availability, all in an organized format. Ideal for comparative shopping, market analysis, and efficient e-commerce research, ClatSearch saves time and simplifies decision-making. Perfect for developers, shoppers, and analysts .
---
 ClatSearch(1.00).py | 118 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 ClatSearch(1.00).py

diff --git a/ClatSearch(1.00).py b/ClatSearch(1.00).py
new file mode 100644
index 0000000..07d58cc
--- /dev/null
+++ b/ClatSearch(1.00).py
@@ -0,0 +1,118 @@
+import openai
+import json
+
+# Set your API key and the base URL for Perplexity
+openai.api_key = "INSERT_API_KEY_HERE(PERPLEXITY API)"
+openai.api_base = "https://api.perplexity.ai"
+
+def search_products(query):
+    """
+    Use Perplexity to search for real product data on Amazon and eBay.
+    """
+    messages = [
+        {
+            "role": "system",
+            "content": (
+                "You are a helpful AI with internet access capable of searching Amazon and eBay. "
+                "Do not fabricate data. If uncertain, say 'N/A'. "
+                "Use the structure:\n"
+                "{\n"
+                "  \"products\": [\n"
+                "    {\n"
+                "      \"Title\": \"...\",\n"
+                "      \"Price\": \"...\",\n"
+                "      \"Rating\": \"...\",\n"
+                "      \"Description\": \"...\",\n"
+                "      \"Prime\": \"...\",\n"
+                "      \"Image_Url\": \"...\",\n"
+                "      \"Site\": \"Amazon\" or \"Ebay\"\n"
+                "    }\n"
+                "  ]\n"
+                "}"
+            ),
+        },
+        {
+            "role": "user",
+            "content": (
+                f"Search for products related to '{query}' on Amazon and eBay. "
+                "Return at least 3 items from each site if available."
+            ),
+        },
+    ]
+
+    try:
+        response = openai.ChatCompletion.create(
+            model="llama-3.1-sonar-huge-128k-online",
+            messages=messages
+        )
+        return response
+    except Exception as e:
+        print(f"Error calling Perplexity API: {e}")
+        return None
+
+def parse_response(response):
+    """
+    Parse the JSON string from the LLM's 'content' field.
+    Return a list of product dictionaries or an empty list on failure.
+    """
+    if not response or "choices" not in response:
+        return []
+
+    content = response["choices"][0].get("message", {}).get("content", "")
+    if not content:
+        return []
+
+    try:
+        data = json.loads(content)
+        if isinstance(data, dict) and "products" in data:
+            return data["Products"]
+        else:
+            print("Top 5 results have been displayed")
+            return []
+    except json.JSONDecodeError:
+        print("Here are your results:")
+        print(content)
+        return []
+
+def main():
+    print("\033[1;31m   ██████╗██╗        █████╗ ████████╗███████╗")
+    print("   ██╔════╝██║       ██╔══██╗╚══██╔══╝██╔════╝")
+    print("   ██║     ██║       ███████║   ██║   ███████╗")
+    print("   ██║     ██║       ██╔══██║   ██║   ╚════██║")
+    print("   ██████╗ ███████╗  ██║  ██║   ██║   ███████║")
+    print("   ╚═════╝ ╚══════╝  ╚═╝  ╚═╝   ╚═╝   ╚══════╝\033[0m")
+    print("\033[1;34mC      L       A       T       S       E       A       R       C       H       (Version 1.00)\033[0m")
+
+    query = input("Enter an Amazon or Ebay product name: ")
+    raw_response = search_products(query)
+    
+    if not raw_response:
+        print("No response from Perplexity.")
+        return
+    
+    products = parse_response(raw_response)
+    if not products:
+        print("Thank you for using ClatSearch.")
+        return
+    
+    print(f"\n=== Found {len(products)} Products ===\n")
+    for i, product in enumerate(products, start=1):
+        title = product.get("Title", "N/A")
+        price = product.get("Price", "N/A")
+        rating = product.get("Rating", "N/A")
+        description = product.get("Description", "N/A")
+        prime = product.get("Prime", "N/A")
+        image_url = product.get("Image_Url", "N/A")
+        site = product.get("Site", "N/A")
+
+        print(f"{i}. Title: {title}")
+        print(f"   Price: {price}")
+        print(f"   Description: {description}")
+        print(f"   Rating: {rating}")
+        print(f"   Prime Available (Amazon only): {prime}")
+        print(f"   Image URL: {image_url}")
+        print(f"   Site: {site}\n")
+
+if __name__ == '__main__':
+    main()
+    input("\nPress Enter to close...")
\ No newline at end of file