Update app.py

app.py

@@ -42,7 +42,7 @@ def get_current_time_in_timezone(timezone: str) -> str:
 @tool
 def crypto_analysis(crypto_name: str) -> str:
     """
-    Fetches current cryptocurrency data for a given crypto currency name use the data extracted to combine with web search to perform crypto analysis.
+    Fetches current cryptocurrency data for a given crypto currency name use the data extracted  to perform crypto analysis.
     
     Args:
         crypto_name: The crypto currency id (e.g., 'bitcoin')
@@ -57,65 +57,65 @@ def crypto_analysis(crypto_name: str) -> str:
         response = requests.get(url)
         response.raise_for_status()  # Raise exception for bad status codes
         data = response.json()
+        return data
+
+    except requests.exceptions.RequestException as e:
+        raise f"Error: {str(e)}"
+    
         
-        # Search for news related to crypto
-        search_tool = DuckDuckGoSearchTool()
         
-        try:
-            crypto_info = data['data']
-            # Extract key metrics for analysis
-            price = float(crypto_info["priceUsd"])
-            market_cap = float(crypto_info["marketCapUsd"])
-            volume_24h = float(crypto_info["volumeUsd24Hr"])
-            change_24h = float(crypto_info["changePercent24Hr"])
+    #         crypto_info = data['data']
+    #         # Extract key metrics for analysis
+    #         price = float(crypto_info["priceUsd"])
+    #         market_cap = float(crypto_info["marketCapUsd"])
+    #         volume_24h = float(crypto_info["volumeUsd24Hr"])
+    #         change_24h = float(crypto_info["changePercent24Hr"])
             
-            # Targeted search for information
-            queries = [
-                f"{crypto_info['name']} price movement reasons",
-                f"{crypto_info['name']} market analysis",
-                f"{crypto_info['name']} future predictions",
-                f"{crypto_info['name']} recent developments"
-            ]
+    #         # Targeted search for information
+    #         queries = [
+    #             f"{crypto_info['name']} price movement reasons",
+    #             f"{crypto_info['name']} market analysis",
+    #             f"{crypto_info['name']} future predictions",
+    #             f"{crypto_info['name']} recent developments"
+    #         ]
             
-            # Fetch relevant information from search
-            search_results = {}
-            for query in queries:
-                search_results[query] = search_tool(query)
+    #         # Fetch relevant information from search
+    #         search_results = {}
+    #         for query in queries:
+    #             search_results[query] = search_tool(query)
                 
-            # Compile final results
-            analysis = {
-                "basic_info": {
-                    "name": crypto_info["name"],
-                    "symbol": crypto_info["symbol"],
-                    "current_price_usd": price,
-                    "market_cap_usd": market_cap,
-                    "rank": int(crypto_info["rank"]),
-                },
-                "technical_indicators": {
-                    "24h_change_percent": change_24h,
-                    "24h_volume_usd": volume_24h,
-                    "supply_info": {
-                        "current_supply": float(crypto_info["supply"]),
-                        "max_supply": float(crypto_info["maxSupply"]) if crypto_info.get("maxSupply") else None,
-                        "percent_of_max_issued": (float(crypto_info["supply"]) / float(crypto_info["maxSupply"]) * 100) 
-                            if crypto_info.get("maxSupply") else None
-                    }
-                },
-                "market_sentiment": {
-                    "recent_news": search_results,
-                    "sentiment_indicator": "positive" if change_24h > 0 else "negative",
-                }
-            }
+    #         # Compile final results
+    #         analysis = {
+    #             "basic_info": {
+    #                 "name": crypto_info["name"],
+    #                 "symbol": crypto_info["symbol"],
+    #                 "current_price_usd": price,
+    #                 "market_cap_usd": market_cap,
+    #                 "rank": int(crypto_info["rank"]),
+    #             },
+    #             "technical_indicators": {
+    #                 "24h_change_percent": change_24h,
+    #                 "24h_volume_usd": volume_24h,
+    #                 "supply_info": {
+    #                     "current_supply": float(crypto_info["supply"]),
+    #                     "max_supply": float(crypto_info["maxSupply"]) if crypto_info.get("maxSupply") else None,
+    #                     "percent_of_max_issued": (float(crypto_info["supply"]) / float(crypto_info["maxSupply"]) * 100) 
+    #                         if crypto_info.get("maxSupply") else None
+    #                 }
+    #             },
+    #             "market_sentiment": {
+    #                 "recent_news": search_results,
+    #                 "sentiment_indicator": "positive" if change_24h > 0 else "negative",
+    #             }
+    #         }
             
-            return json.dumps(analysis)
+    #         return json.dumps(analysis)
             
-        except KeyError as error:
-            return f"Error: Failed to parse cryptocurrency data: {str(error)}"
-        except ValueError as error:
-            return f"Error: Failed to process values in cryptocurrency data: {str(error)}"
+    #     except ValueError as error:
+    #         return f"Error: Failed to process values in cryptocurrency data: {str(error)}"
         
-    except requests.exceptions.RequestException as e:
-        return f"Error: API request failed: {str(e)}"
+    # except requests.exceptions.RequestException as e:
+    #     return f"Error: API request failed: {str(e)}"
 
 final_answer = FinalAnswerTool()