Update app.py

app.py

@@ -3,7 +3,9 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-import json
+import re
+from agentic import build_graph
+from langchain_core.messages import HumanMessage
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -11,23 +13,13 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-# class BasicAgent:
-#     def __init__(self):
-#         print("BasicAgent initialized.")
-#     def __call__(self, question: str) -> str:
-#         print(f"Agent received question (first 50 chars): {question[:50]}...")
-#         fixed_answer = "This is a default answer."
-#         print(f"Agent returning fixed answer: {fixed_answer}")
-#         return fixed_answer
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
         self.agent_graph = build_graph()
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        # fixed_answer = "This is a default answer."
-        # print(f"Agent returning fixed answer: {fixed_answer}")
-        # return fixed_answer
+
         messages = [HumanMessage(content=f"Can you answer this question please ? {question}")]
 
         messages = self.agent_graph.invoke({"messages": messages, "question": question}, {"recursion_limit": 10})
@@ -41,6 +33,91 @@ class BasicAgent:
         
         return answer
 
+def try_one_question( profile: gr.OAuthProfile | None):
+    """
+    Fetches one questions, runs the BasicAgent on it, does not submit
+    and displays the results.
+    """
+    # --- Determine HF Space Runtime URL and Repo URL ---
+    space_id = os.getenv("SPACE_ID", "local") # Get the SPACE_ID for sending link to the code
+
+    if profile:
+        username= f"{profile.username}"
+        print(f"User logged in: {username}")
+    else:
+        print("User not logged in.")
+        return "Please Login to Hugging Face with the button.", None
+
+    api_url = DEFAULT_API_URL
+    one_question_url = f"{api_url}/random-question"
+
+    # 1. Instantiate Agent ( modify this part to create your agent)
+    try:
+        agent = BasicAgent()
+    except Exception as e:
+        print(f"Error instantiating agent: {e}")
+        return f"Error initializing agent: {e}", None
+    # In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
+    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
+    print(agent_code)
+
+    # 2. Fetch Questions
+    print(f"Fetching questions from: {one_question_url}")
+    try:
+        response = requests.get(one_question_url, timeout=15)
+        response.raise_for_status()
+        questions_data = response.json()
+        if not questions_data:
+             print("Fetched questions list is empty.")
+             return "Fetched questions list is empty or invalid format.", None
+        if isinstance(questions_data, dict) and "question" in questions_data:
+            print("Fetched a single question instead of a list.")
+            questions_data = [questions_data]
+        elif isinstance(questions_data, list):
+            print(f"Fetched {len(questions_data)} questions.")
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching questions: {e}")
+        return f"Error fetching questions: {e}", None
+    except requests.exceptions.JSONDecodeError as e:
+         print(f"Error decoding JSON response from questions endpoint: {e}")
+         print(f"Response text: {response.text[:500]}")
+         return f"Error decoding server response for questions: {e}", None
+    except Exception as e:
+        print(f"An unexpected error occurred fetching questions: {e}")
+        return f"An unexpected error occurred fetching questions: {e}", None
+
+    # 3. Run your Agent
+    results_log = []
+    answers_payload = []
+    print(f"Running agent on {len(questions_data)} questions...")
+    for item in questions_data:
+        task_id = item.get("task_id")
+        question_text = item.get("question")
+        print(f"question: {question_text}")
+        if not task_id or question_text is None:
+            print(f"Skipping item with missing task_id or question: {item}")
+            continue
+        try:
+            submitted_answer = agent(question_text)
+            answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+        except Exception as e:
+             print(f"Error running agent on task {task_id}: {e}")
+             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+
+    if not answers_payload:
+        print("Agent did not produce any answers to submit.")
+        return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+    # 4. Prepare Submission 
+    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+    status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
+    print(status_update)
+
+    results_df = pd.DataFrame(results_log)
+    return "test", results_df
+
+
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
@@ -58,7 +135,6 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
-    one_question_url = f"{api_url}/random-question"
     submit_url = f"{api_url}/submit"
 
     # 1. Instantiate Agent ( modify this part to create your agent)
@@ -72,11 +148,9 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(agent_code)
 
     # 2. Fetch Questions
-    # print(f"Fetching questions from: {questions_url}")
-    print(f"Fetching questions from: {one_question_url}")
+    print(f"Fetching questions from: {questions_url}")
     try:
-        # response = requests.get(questions_url, timeout=15)
-        response = requests.get(one_question_url, timeout=15)
+        response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions_data = response.json()
         if not questions_data:
@@ -105,6 +179,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
+        print(f"question: {question_text}")
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
@@ -125,48 +200,48 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
 
-    # # 5. Submit
-    # print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
-    # try:
-    #     response = requests.post(submit_url, json=submission_data, timeout=60)
-    #     response.raise_for_status()
-    #     result_data = response.json()
-    #     final_status = (
-    #         f"Submission Successful!\n"
-    #         f"User: {result_data.get('username')}\n"
-    #         f"Overall Score: {result_data.get('score', 'N/A')}% "
-    #         f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
-    #         f"Message: {result_data.get('message', 'No message received.')}"
-    #     )
-    #     print("Submission successful.")
-    #     results_df = pd.DataFrame(results_log)
-    #     return final_status, results_df
-    # except requests.exceptions.HTTPError as e:
-    #     error_detail = f"Server responded with status {e.response.status_code}."
-    #     try:
-    #         error_json = e.response.json()
-    #         error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
-    #     except requests.exceptions.JSONDecodeError:
-    #         error_detail += f" Response: {e.response.text[:500]}"
-    #     status_message = f"Submission Failed: {error_detail}"
-    #     print(status_message)
-    #     results_df = pd.DataFrame(results_log)
-    #     return status_message, results_df
-    # except requests.exceptions.Timeout:
-    #     status_message = "Submission Failed: The request timed out."
-    #     print(status_message)
-    #     results_df = pd.DataFrame(results_log)
-    #     return status_message, results_df
-    # except requests.exceptions.RequestException as e:
-    #     status_message = f"Submission Failed: Network error - {e}"
-    #     print(status_message)
-    #     results_df = pd.DataFrame(results_log)
-    #     return status_message, results_df
-    # except Exception as e:
-    #     status_message = f"An unexpected error occurred during submission: {e}"
-    #     print(status_message)
-    #     results_df = pd.DataFrame(results_log)
-    #     return status_message, results_df
+    # 5. Submit
+    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
+    try:
+        response = requests.post(submit_url, json=submission_data, timeout=60)
+        response.raise_for_status()
+        result_data = response.json()
+        final_status = (
+            f"Submission Successful!\n"
+            f"User: {result_data.get('username')}\n"
+            f"Overall Score: {result_data.get('score', 'N/A')}% "
+            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
+            f"Message: {result_data.get('message', 'No message received.')}"
+        )
+        print("Submission successful.")
+        results_df = pd.DataFrame(results_log)
+        return final_status, results_df
+    except requests.exceptions.HTTPError as e:
+        error_detail = f"Server responded with status {e.response.status_code}."
+        try:
+            error_json = e.response.json()
+            error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
+        except requests.exceptions.JSONDecodeError:
+            error_detail += f" Response: {e.response.text[:500]}"
+        status_message = f"Submission Failed: {error_detail}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except requests.exceptions.Timeout:
+        status_message = "Submission Failed: The request timed out."
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except requests.exceptions.RequestException as e:
+        status_message = f"Submission Failed: Network error - {e}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except Exception as e:
+        status_message = f"An unexpected error occurred during submission: {e}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
 
 
 # --- Build Gradio Interface using Blocks ---
@@ -190,11 +265,17 @@ with gr.Blocks() as demo:
     gr.LoginButton()
 
     run_button = gr.Button("Run Evaluation & Submit All Answers")
+    run_button_one_question = gr.Button("Run One Question")
 
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     # Removed max_rows=10 from DataFrame constructor
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
+    run_button_one_question.click(
+        fn=try_one_question,
+        outputs=[status_output, results_table]
+    )
+
     run_button.click(
         fn=run_and_submit_all,
         outputs=[status_output, results_table]