add endpoint connection for feedback

Author: VinciGit00

.gitignore

@@ -0,0 +1,12 @@
+# Ignore Python bytecode files
+__pycache__/
+*.pyc
+
+# Ignore macOS system files
+.DS_Store
+
+# Ignore distribution files
+dist/
+
+# Ignore environment variable files
+.env

dist/scrapegraphaiapisdk-0.0.1-py3-none-any.whl

@@ -0,0 +1,21 @@
+"""
+This script demonstrates how to use the credits function from the credits module
+to retrieve credits from the ScrapeGraph AI API.
+"""
+
+import os
+from dotenv import load_dotenv
+from scrapegraphaiapisdk.credits import credits
+
+# Load environment variables from a .env file
+load_dotenv()
+
+def main():
+    api_key = os.getenv("SCRAPEGRAPH_API_KEY")
+
+    response = credits(api_key)
+    print("Response from the API:")
+    print(response)
+
+if __name__ == "__main__":
+    main() 

dist/scrapegraphaiapisdk-0.0.1.tar.gz

@@ -1,6 +1,7 @@
 import os
 from dotenv import load_dotenv
-from scrapegraphaiapisdk.status import status
+from scrapegraphaiapisdk.credits import status
+from scrapegraphaiapisdk.feedback import feedback
 
 # Load environment variables from .env file
 load_dotenv()
@@ -16,5 +17,10 @@ def main():
     except Exception as e:
         print(f"Error occurred: {e}")
 
+    # Example usage of feedback function
+    feedback_message = "This is a test feedback message."
+    feedback_response = feedback(api_key, feedback_message)  # Call the feedback function
+    print(f"Feedback Response: {feedback_response}")  # Print the response
+
 if __name__ == "__main__":
     main() 

examples/credits_example.py

@@ -0,0 +1,33 @@
+"""
+This module provides functionality to interact with the ScrapeGraph AI API.
+
+It includes functions to retrieve credits and send feedback, handling responses and errors appropriately.
+"""
+
+import requests
+import json
+
+def credits(api_key: str) -> str:
+    """Retrieve credits from the API.
+
+    Args:
+        api_key (str): Your ScrapeGraph AI API key.
+
+    Returns:
+        str: Response from the API in JSON format.
+    """
+    endpoint = "https://sgai-api.onrender.com/api/v1/credits"
+    headers = {
+        "accept": "application/json",
+        "SGAI-API-KEY": api_key
+    }
+
+    try:
+        response = requests.get(endpoint, headers=headers)
+        response.raise_for_status()
+    except requests.exceptions.HTTPError as http_err:
+        return json.dumps({"error": "HTTP error occurred", "message": str(http_err), "status_code": response.status_code})
+    except requests.exceptions.RequestException as e:
+        return json.dumps({"error": "An error occurred", "message": str(e)})
+
+    return response.text

examples/status_example.py renamed to examples/feedback_example.py

@@ -0,0 +1,38 @@
+"""
+This module provides functionality to send feedback to the ScrapeGraph AI API.
+
+It includes a function to send feedback messages along with the necessary API key
+and handles responses and errors appropriately.
+"""
+
+import requests
+import json
+
+def feedback(api_key: str, feedback: str) -> str:
+    """Send feedback to the API.
+
+    Args:
+        api_key (str): Your ScrapeGraph AI API key.
+        feedback (str): The feedback message to send.
+
+    Returns:
+        str: Response from the API in JSON format.
+    """
+    endpoint = "https://sgai-api.onrender.com/api/v1/feedback"
+    headers = {
+        "accept": "application/json",
+        "SGAI-API-KEY": api_key,
+        "Content-Type": "application/json"
+    }
+    
+    feedback_data = {"feedback": feedback}  # Prepare the feedback data
+
+    try:
+        response = requests.post(endpoint, headers=headers, json=feedback_data)
+        response.raise_for_status()
+    except requests.exceptions.HTTPError as http_err:
+        return json.dumps({"error": "HTTP error occurred", "message": str(http_err), "status_code": response.status_code})
+    except requests.exceptions.RequestException as e:
+        return json.dumps({"error": "An error occurred", "message": str(e)})
+    
+    return response.text

scrapegraphaiapisdk/__pycache__/__init__.cpython-39.pyc

@@ -1,14 +1,8 @@
 from pydantic import BaseModel
 import requests
-import argparse
 from typing import Optional
 import json
 
-class ExampleSchema(BaseModel):
-    """Define an example schema for the output structure, if needed."""
-    name: str
-    description: str
-
 def scrape(api_key: str, url: str, prompt: str, schema: Optional[BaseModel] = None) -> str:
     """Scrape and extract structured data from a webpage using ScrapeGraph AI.