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Ai guarded #2

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russellballestrini merged 20 commits from ai-guarded into main

2024-07-29 06:34:51 -04:00

russellballestrini commented

2024-07-28 21:10:28 -04:00

(Migrated from git2.unturf.com)

Created by: russellballestrini

Summary by CodeRabbit

New Features
- Introduced "Activity Mode" for guided AI interactions, enhancing educational experiences.
- Added commands for managing activities, including starting, displaying information, and canceling activities.
- New YAML files created for interactive courses on various subjects, providing structured content and AI feedback.
- Implemented a system for simulating interactive activities with tailored AI feedback.
Documentation
- Enhanced README documentation to include details about the new "Activity Mode" and usage instructions.
Chores
- Introduced a new directory for AI activities to streamline resource organization.

*Created by: russellballestrini*  ## Summary by CodeRabbit - **New Features** - Introduced "Activity Mode" for guided AI interactions, enhancing educational experiences. - Added commands for managing activities, including starting, displaying information, and canceling activities. - New YAML files created for interactive courses on various subjects, providing structured content and AI feedback. - Implemented a system for simulating interactive activities with tailored AI feedback. - **Documentation** - Enhanced README documentation to include details about the new "Activity Mode" and usage instructions. - **Chores** - Introduced a new directory for AI activities to streamline resource organization.

russellballestrini commented

2024-07-28 21:10:39 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Walkthrough

The recent changes enhance the application's educational capabilities by introducing an "Activity Mode" feature, allowing users to engage with structured interactive learning experiences. Key updates include new YAML-defined activities, improved user feedback mechanisms, and a robust backend for managing activity states, enriching the learning journey through AI-generated interactions.

Changes

Files	Change Summary
`README.rst`	Added "Activity Mode" section, detailing commands for managing activities and introducing a `research/` directory for AI activities.
`app.py`	Implemented `ActivityState` model, added functions for starting, canceling, and managing activities, and integrated feedback mechanisms.
`migrations/...`	Introduced migrations for `ActivityState` table, adding columns for file paths and metadata to enhance activity tracking.
`research/activity.yaml`	Defined structured interactive learning module with sections and steps, incorporating feedback mechanisms for user responses.
`research/activity0.yaml` to `activity14.yaml`	Structured various educational modules (e.g., AI, GNU Manifesto, cooking) as YAML files, each with interactive content and feedback.
`research/guarded_ai.py`	Implemented a system for simulating interactive activities using AI feedback, including functions for categorizing responses and managing activity flow.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant AI
    participant ActivityManager

    User->>ActivityManager: Start Activity
    ActivityManager->>AI: Load Activity Data
    AI-->>ActivityManager: Activity Data Loaded
    ActivityManager->>User: Present First Question
    User->>AI: Respond to Question
    AI->>ActivityManager: Categorize Response
    ActivityManager->>User: Provide Feedback
    User->>ActivityManager: Next Question
    ActivityManager->>User: Present Next Question
    Note over User, AI: Repeat until completion

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*Created by: coderabbitai[bot]*   > [!CAUTION] > ## Review failed > > The pull request is closed.  ## Walkthrough The recent changes enhance the application's educational capabilities by introducing an "Activity Mode" feature, allowing users to engage with structured interactive learning experiences. Key updates include new YAML-defined activities, improved user feedback mechanisms, and a robust backend for managing activity states, enriching the learning journey through AI-generated interactions. ## Changes | Files | Change Summary | |--------------------------------------------|---------------------------------------------------------------------------------------------------------------| | `README.rst` | Added "Activity Mode" section, detailing commands for managing activities and introducing a `research/` directory for AI activities. | | `app.py` | Implemented `ActivityState` model, added functions for starting, canceling, and managing activities, and integrated feedback mechanisms. | | `migrations/...` | Introduced migrations for `ActivityState` table, adding columns for file paths and metadata to enhance activity tracking. | | `research/activity.yaml` | Defined structured interactive learning module with sections and steps, incorporating feedback mechanisms for user responses. | | `research/activity0.yaml` to `activity14.yaml` | Structured various educational modules (e.g., AI, GNU Manifesto, cooking) as YAML files, each with interactive content and feedback. | | `research/guarded_ai.py` | Implemented a system for simulating interactive activities using AI feedback, including functions for categorizing responses and managing activity flow. | ## Sequence Diagram(s) ```mermaid sequenceDiagram participant User participant AI participant ActivityManager User->>ActivityManager: Start Activity ActivityManager->>AI: Load Activity Data AI-->>ActivityManager: Activity Data Loaded ActivityManager->>User: Present First Question User->>AI: Respond to Question AI->>ActivityManager: Categorize Response ActivityManager->>User: Provide Feedback User->>ActivityManager: Next Question ActivityManager->>User: Present Next Question Note over User, AI: Repeat until completion ``` > 🐰 In fields of learning, we hop and play, > With AI's magic guiding the way. > From Python to cooking, each step we take, > A journey of joy, for education's sake! > Let's cheer for the changes, so bright and new, > Together we learn, me and you! 🎉         --- Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? <details> <summary>Share</summary> - [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code) </details> <details> <summary>Tips</summary> ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. 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russellballestrini commented

2024-07-28 21:17:47 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Ensure proper error handling and logging.

The function categorize_response includes error handling but can be improved by adding logging for better traceability.

import logging

# Configure logging
logging.basicConfig(level=logging.ERROR)

def categorize_response(question, response, buckets, tokens_for_ai):
    bucket_list = ", ".join(buckets)
    messages = [
        {
            "role": "system",
            "content": f"{tokens_for_ai} Categorize the following response into one of the following buckets: {bucket_list}. Return ONLY a bucket label.",
        },
        {
            "role": "user",
            "content": f"Question: {question}\nResponse: {response}\n\nCategory:",
        },
    ]

    try:
        completion = client.chat.completions.create(
            model="gpt-4o-mini",
            messages=messages,
            max_tokens=5,
            temperature=0,
        )
        category = (
            completion.choices[0].message.content.strip().lower().replace(" ", "_")
        )
        return category
    except Exception as e:
        logging.error(f"Error categorizing response: {e}")
        return f"Error: {e}"

*Created by: coderabbitai[bot]* **Ensure proper error handling and logging.** The function `categorize_response` includes error handling but can be improved by adding logging for better traceability. ```python import logging # Configure logging logging.basicConfig(level=logging.ERROR) def categorize_response(question, response, buckets, tokens_for_ai): bucket_list = ", ".join(buckets) messages = [ { "role": "system", "content": f"{tokens_for_ai} Categorize the following response into one of the following buckets: {bucket_list}. Return ONLY a bucket label.", }, { "role": "user", "content": f"Question: {question}\nResponse: {response}\n\nCategory:", }, ] try: completion = client.chat.completions.create( model="gpt-4o-mini", messages=messages, max_tokens=5, temperature=0, ) category = ( completion.choices[0].message.content.strip().lower().replace(" ", "_") ) return category except Exception as e: logging.error(f"Error categorizing response: {e}") return f"Error: {e}" ```

russellballestrini commented

2024-07-28 21:17:47 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Consider adding error handling for file operations.

Adding error handling for file operations will make the function more robust.

def load_yaml_activity(file_path):
    try:
        with open(file_path, "r") as file:
            return yaml.safe_load(file)
    except FileNotFoundError:
        return f"Error: File {file_path} not found."
    except yaml.YAMLError as e:
        return f"Error: Failed to parse YAML file. {e}"

*Created by: coderabbitai[bot]* **Consider adding error handling for file operations.** Adding error handling for file operations will make the function more robust. ```python def load_yaml_activity(file_path): try: with open(file_path, "r") as file: return yaml.safe_load(file) except FileNotFoundError: return f"Error: File {file_path} not found." except yaml.YAMLError as e: return f"Error: Failed to parse YAML file. {e}" ```

russellballestrini commented

2024-07-28 21:17:47 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Ensure proper error handling and logging.

The function generate_ai_feedback includes error handling but can be improved by adding logging for better traceability.

def generate_ai_feedback(category, question, user_response, tokens_for_ai):
    messages = [
        {
            "role": "system",
            "content": "{tokens_for_ai} Generate a human-readable feedback message based on the following:",
        },
        {
            "role": "user",
            "content": f"Question: {question}\nResponse: {user_response}\nCategory: {category}",
        },
    ]

    try:
        completion = client.chat.completions.create(
            model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7
        )
        feedback = completion.choices[0].message.content.strip()
        return feedback
    except Exception as e:
        logging.error(f"Error generating AI feedback: {e}")
        return f"Error: {e}"

*Created by: coderabbitai[bot]* **Ensure proper error handling and logging.** The function `generate_ai_feedback` includes error handling but can be improved by adding logging for better traceability. ```python def generate_ai_feedback(category, question, user_response, tokens_for_ai): messages = [ { "role": "system", "content": "{tokens_for_ai} Generate a human-readable feedback message based on the following:", }, { "role": "user", "content": f"Question: {question}\nResponse: {user_response}\nCategory: {category}", }, ] try: completion = client.chat.completions.create( model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7 ) feedback = completion.choices[0].message.content.strip() return feedback except Exception as e: logging.error(f"Error generating AI feedback: {e}") return f"Error: {e}" ```

russellballestrini commented

2024-07-28 21:17:47 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Consider adding a command-line argument for the YAML file path.

Adding a command-line argument for the YAML file path will make the script more flexible.

import argparse

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Simulate an activity.")
    parser.add_argument("yaml_file_path", type=str, help="Path to the activity YAML file")
    args = parser.parse_args()
    simulate_activity(args.yaml_file_path)

*Created by: coderabbitai[bot]* **Consider adding a command-line argument for the YAML file path.** Adding a command-line argument for the YAML file path will make the script more flexible. ```python import argparse if __name__ == "__main__": parser = argparse.ArgumentParser(description="Simulate an activity.") parser.add_argument("yaml_file_path", type=str, help="Path to the activity YAML file") args = parser.parse_args() simulate_activity(args.yaml_file_path) ```

russellballestrini commented

2024-07-28 21:17:47 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Fix undefined function get_next_step.

The function get_next_step is referenced but not defined, leading to a potential runtime error.

-            current_section_id, current_step_id = get_next_step(
+            current_section_id, current_step_id = get_next_section_and_step(

Committable suggestion

def simulate_activity(yaml_file_path):
    yaml_content = load_yaml_activity(yaml_file_path)
    max_attempts = yaml_content.get("default_max_attempts_per_step", 3)

    current_section_id = yaml_content["sections"][0]["section_id"]
    current_step_id = yaml_content["sections"][0]["steps"][0]["step_id"]

    while current_section_id and current_step_id:
        print(f"\n\nCurrent section: {current_section_id}, Current step: {current_step_id}\n\n")
        section = next(
            (
                s
                for s in yaml_content["sections"]
                if s["section_id"] == current_section_id
            ),
            None,
        )
        if not section:
            print("Section not found.")
            break

        step = next(
            (s for s in section["steps"] if s["step_id"] == current_step_id), None
        )
        if not step:
            print("Step not found.")
            break

        # Print all content blocks once per step
        if "content_blocks" in step:
            print("\n\n".join(step["content_blocks"]))

        # Skip classification and feedback if there's no question
        if "question" not in step:
            current_section_id, current_step_id = get_next_section_and_step(
                yaml_content, current_section_id, current_step_id
            )
            continue

        question = step["question"]

        attempts = 0
        while attempts < max_attempts:
            print(f"\nQuestion: {question}")

            user_response = input("\nYour Response: ")

            category = categorize_response(
                question, user_response, step["buckets"], step["tokens_for_ai"]
            )
            print(f"\nCategory: {category}")

            feedback, next_section_and_step = provide_feedback(
                yaml_content,
                section["section_id"],
                step["step_id"],
                category,
                question,
                user_response,
            )
            print(f"\nFeedback: {feedback}")

            if category not in [
                "off_topic",
                "asking_clarifying_questions",
                "partial_understanding",
            ]:
                break

            attempts += 1

        if attempts == max_attempts:
            print("\nMaximum attempts reached. Moving to the next step.")

        if next_section_and_step:
            current_section_id, current_step_id = next_section_and_step.split(":")
        else:
            current_section_id, current_step_id = get_next_section_and_step(
                yaml_content, current_section_id, current_step_id
            )

Tools

Ruff

*Created by: coderabbitai[bot]* **Fix undefined function `get_next_step`.** The function `get_next_step` is referenced but not defined, leading to a potential runtime error. ```diff - current_section_id, current_step_id = get_next_step( + current_section_id, current_step_id = get_next_section_and_step( ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def simulate_activity(yaml_file_path): yaml_content = load_yaml_activity(yaml_file_path) max_attempts = yaml_content.get("default_max_attempts_per_step", 3) current_section_id = yaml_content["sections"][0]["section_id"] current_step_id = yaml_content["sections"][0]["steps"][0]["step_id"] while current_section_id and current_step_id: print(f"\n\nCurrent section: {current_section_id}, Current step: {current_step_id}\n\n") section = next( ( s for s in yaml_content["sections"] if s["section_id"] == current_section_id ), None, ) if not section: print("Section not found.") break step = next( (s for s in section["steps"] if s["step_id"] == current_step_id), None ) if not step: print("Step not found.") break # Print all content blocks once per step if "content_blocks" in step: print("\n\n".join(step["content_blocks"])) # Skip classification and feedback if there's no question if "question" not in step: current_section_id, current_step_id = get_next_section_and_step( yaml_content, current_section_id, current_step_id ) continue question = step["question"] attempts = 0 while attempts < max_attempts: print(f"\nQuestion: {question}") user_response = input("\nYour Response: ") category = categorize_response( question, user_response, step["buckets"], step["tokens_for_ai"] ) print(f"\nCategory: {category}") feedback, next_section_and_step = provide_feedback( yaml_content, section["section_id"], step["step_id"], category, question, user_response, ) print(f"\nFeedback: {feedback}") if category not in [ "off_topic", "asking_clarifying_questions", "partial_understanding", ]: break attempts += 1 if attempts == max_attempts: print("\nMaximum attempts reached. Moving to the next step.") if next_section_and_step: current_section_id, current_step_id = next_section_and_step.split(":") else: current_section_id, current_step_id = get_next_section_and_step( yaml_content, current_section_id, current_step_id ) ````` </details>  <details> <summary>Tools</summary> <details> <summary>Ruff</summary><blockquote> 155-155: Undefined name `get_next_step` (F821) </blockquote></details> </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Ensure proper validation of attributes.

The ActivityState class attributes should have validation to ensure data integrity. Consider adding validation for room_id, section_id, step_id, and s3_file_path.

from sqlalchemy.orm import validates

class ActivityState(db.Model):
    # existing code...

    @validates('room_id', 'section_id', 'step_id', 's3_file_path')
    def validate_not_empty(self, key, value):
        if not value:
            raise ValueError(f"{key} cannot be empty")
        return value

*Created by: coderabbitai[bot]* **Ensure proper validation of attributes.** The `ActivityState` class attributes should have validation to ensure data integrity. Consider adding validation for `room_id`, `section_id`, `step_id`, and `s3_file_path`. ```python from sqlalchemy.orm import validates class ActivityState(db.Model): # existing code... @validates('room_id', 'section_id', 'step_id', 's3_file_path') def validate_not_empty(self, key, value): if not value: raise ValueError(f"{key} cannot be empty") return value ```

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Optimize JSON metadata handling.

The _json_metadata property and its setter can be optimized by using a single method for both getting and setting the metadata.

class ActivityState(db.Model):
    # existing code...

    @property
    def json_metadata_dict(self):
        return json.loads(self.json_metadata) if self.json_metadata else {}

    @json_metadata_dict.setter
    def json_metadata_dict(self, value):
        self.json_metadata = json.dumps(value)

    def update_metadata(self, key, value):
        metadata = self.json_metadata_dict
        metadata[key] = value
        self.json_metadata_dict = metadata

*Created by: coderabbitai[bot]* **Optimize JSON metadata handling.** The `_json_metadata` property and its setter can be optimized by using a single method for both getting and setting the metadata. ```python class ActivityState(db.Model): # existing code... @property def json_metadata_dict(self): return json.loads(self.json_metadata) if self.json_metadata else {} @json_metadata_dict.setter def json_metadata_dict(self, value): self.json_metadata = json.dumps(value) def update_metadata(self, key, value): metadata = self.json_metadata_dict metadata[key] = value self.json_metadata_dict = metadata ```

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Clarify condition logic.

The condition logic for checking the category and attempts can be simplified for better readability.

-  if (
-      category
-      not in [
-          "off_topic",
-          "asking_clarifying_questions",
-          "partial_understanding",
-      ]
-      or activity_state.attempts >= activity_state.max_attempts
-  ):
+  if category not in ["off_topic", "asking_clarifying_questions", "partial_understanding"] or activity_state.attempts >= activity_state.max_attempts:

Committable suggestion

                # if "correct" or max_attempts reached.
                if category not in ["off_topic", "asking_clarifying_questions", "partial_understanding"] or activity_state.attempts >= activity_state.max_attempts:

*Created by: coderabbitai[bot]* **Clarify condition logic.** The condition logic for checking the category and attempts can be simplified for better readability. ```diff - if ( - category - not in [ - "off_topic", - "asking_clarifying_questions", - "partial_understanding", - ] - or activity_state.attempts >= activity_state.max_attempts - ): + if category not in ["off_topic", "asking_clarifying_questions", "partial_understanding"] or activity_state.attempts >= activity_state.max_attempts: ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion # if "correct" or max_attempts reached. if category not in ["off_topic", "asking_clarifying_questions", "partial_understanding"] or activity_state.attempts >= activity_state.max_attempts: ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Remove extraneous f prefix.

The f-string in the print statement does not contain any placeholders.

-  print(f"metadata_updates in step/category")
+  print("metadata_updates in step/category")

Committable suggestion

                    print("metadata_updates in step/category")

Tools

Ruff

*Created by: coderabbitai[bot]* **Remove extraneous `f` prefix.** The f-string in the print statement does not contain any placeholders. ```diff - print(f"metadata_updates in step/category") + print("metadata_updates in step/category") ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion print("metadata_updates in step/category") ````` </details>  <details> <summary>Tools</summary> <details> <summary>Ruff</summary><blockquote> 1919-1919: f-string without any placeholders Remove extraneous `f` prefix (F541) </blockquote></details> </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for edge cases.

The get_next_step function should handle potential edge cases where the next section or step might not be found.

-  return None, None
+  if not next_step:
+      print("Next step not found.")
+  return next_section, next_step

*Created by: coderabbitai[bot]* **Add error handling for edge cases.** The `get_next_step` function should handle potential edge cases where the next section or step might not be found. ```diff - return None, None + if not next_step: + print("Next step not found.") + return next_section, next_step ``` > Committable suggestion was skipped due to low confidence.

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for database operations.

The cancel_activity function lacks error handling for database operations. Consider adding try-except blocks to handle potential errors when accessing the database.

-  db.session.delete(activity_state)
-  db.session.commit()
+  try:
+      db.session.delete(activity_state)
+      db.session.commit()
+  except Exception as e:
+      socketio.emit(
+          "message",
+          {
+              "id": None,
+              "username": "System",
+              "content": f"Error canceling activity: {e}",
+          },
+          room=room_name,
+      )
+      return

Committable suggestion

def cancel_activity(room_name, username):
    with app.app_context():
        room = get_room(room_name)
        activity_state = ActivityState.query.filter_by(room_id=room.id).first()

        if not activity_state:
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": "No active activity found to cancel.",
                },
                room=room_name,
            )
            return

        # Delete the activity state
        try:
            db.session.delete(activity_state)
            db.session.commit()
        except Exception as e:
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": f"Error canceling activity: {e}",
                },
                room=room_name,
            )
            return

        # Emit a message indicating the activity has been canceled
        socketio.emit(
            "message",
            {
                "id": None,
                "username": "System",
                "content": "Activity has been canceled.",
            },
            room=room_name,
        )

*Created by: coderabbitai[bot]* **Add error handling for database operations.** The `cancel_activity` function lacks error handling for database operations. Consider adding try-except blocks to handle potential errors when accessing the database. ```diff - db.session.delete(activity_state) - db.session.commit() + try: + db.session.delete(activity_state) + db.session.commit() + except Exception as e: + socketio.emit( + "message", + { + "id": None, + "username": "System", + "content": f"Error canceling activity: {e}", + }, + room=room_name, + ) + return ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def cancel_activity(room_name, username): with app.app_context(): room = get_room(room_name) activity_state = ActivityState.query.filter_by(room_id=room.id).first() if not activity_state: socketio.emit( "message", { "id": None, "username": "System", "content": "No active activity found to cancel.", }, room=room_name, ) return # Delete the activity state try: db.session.delete(activity_state) db.session.commit() except Exception as e: socketio.emit( "message", { "id": None, "username": "System", "content": f"Error canceling activity: {e}", }, room=room_name, ) return # Emit a message indicating the activity has been canceled socketio.emit( "message", { "id": None, "username": "System", "content": "Activity has been canceled.", }, room=room_name, ) ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for S3 operations.

The start_activity function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3.

-  response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
-  activity_yaml = response["Body"].read().decode("utf-8")
-  activity_content = yaml.safe_load(activity_yaml)
+  try:
+      response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
+      activity_yaml = response["Body"].read().decode("utf-8")
+      activity_content = yaml.safe_load(activity_yaml)
+  except Exception as e:
+      socketio.emit(
+          "message",
+          {
+              "id": None,
+              "username": "System",
+              "content": f"Error retrieving activity file from S3: {e}",
+          },
+          room=room_name,
+      )
+      return

Committable suggestion

def start_activity(room_name, s3_file_path, username):
    s3_client = boto3.client("s3")
    bucket_name = os.environ.get("S3_BUCKET_NAME")

    try:
        response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
        activity_yaml = response["Body"].read().decode("utf-8")
        activity_content = yaml.safe_load(activity_yaml)
    except Exception as e:
        socketio.emit(
            "message",
            {
                "id": None,
                "username": "System",
                "content": f"Error retrieving activity file from S3: {e}",
            },
            room=room_name,
        )
        return

    with app.app_context():
        # Save the initial state to the database
        room = get_room(room_name)
        initial_section = activity_content["sections"][0]
        initial_step = initial_section["steps"][0]

        activity_state = ActivityState(
            room_id=room.id,
            section_id=initial_section["section_id"],
            step_id=initial_step["step_id"],
            max_attempts=activity_content.get("default_max_attempts_per_step", 3),
            s3_file_path=s3_file_path,  # Save the S3 file path
        )
        db.session.add(activity_state)
        db.session.commit()

        # Store and emit the initial activity content
        content = f"Starting Activity: {initial_section['title']}\n\n"
        content += "\n\n".join(initial_step["content_blocks"])
        new_message = Message(username="System", content=content, room_id=room.id)
        db.session.add(new_message)
        db.session.commit()

        socketio.emit(
            "message",
            {
                "id": new_message.id,
                "username": "System",
                "content": content,
            },
            room=room_name,
        )

        # Emit the initial question
        question_content = f"Question: {initial_step['question']}"
        new_message = Message(
            username="System", content=question_content, room_id=room.id
        )
        db.session.add(new_message)
        db.session.commit()

        socketio.emit(
            "message",
            {
                "id": new_message.id,
                "username": "System",
                "content": question_content,
            },
            room=room_name,
        )

*Created by: coderabbitai[bot]* **Add error handling for S3 operations.** The `start_activity` function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3. ```diff - response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) - activity_yaml = response["Body"].read().decode("utf-8") - activity_content = yaml.safe_load(activity_yaml) + try: + response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) + activity_yaml = response["Body"].read().decode("utf-8") + activity_content = yaml.safe_load(activity_yaml) + except Exception as e: + socketio.emit( + "message", + { + "id": None, + "username": "System", + "content": f"Error retrieving activity file from S3: {e}", + }, + room=room_name, + ) + return ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def start_activity(room_name, s3_file_path, username): s3_client = boto3.client("s3") bucket_name = os.environ.get("S3_BUCKET_NAME") try: response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) activity_yaml = response["Body"].read().decode("utf-8") activity_content = yaml.safe_load(activity_yaml) except Exception as e: socketio.emit( "message", { "id": None, "username": "System", "content": f"Error retrieving activity file from S3: {e}", }, room=room_name, ) return with app.app_context(): # Save the initial state to the database room = get_room(room_name) initial_section = activity_content["sections"][0] initial_step = initial_section["steps"][0] activity_state = ActivityState( room_id=room.id, section_id=initial_section["section_id"], step_id=initial_step["step_id"], max_attempts=activity_content.get("default_max_attempts_per_step", 3), s3_file_path=s3_file_path, # Save the S3 file path ) db.session.add(activity_state) db.session.commit() # Store and emit the initial activity content content = f"Starting Activity: {initial_section['title']}\n\n" content += "\n\n".join(initial_step["content_blocks"]) new_message = Message(username="System", content=content, room_id=room.id) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": content, }, room=room_name, ) # Emit the initial question question_content = f"Question: {initial_step['question']}" new_message = Message( username="System", content=question_content, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": question_content, }, room=room_name, ) ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for AI API calls.

The generate_ai_feedback function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated.

-  try:
-      completion = openai_client.chat.completions.create(
-          model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7
-      )
-      feedback = completion.choices[0].message.content.strip()
-      return feedback
-  except Exception as e:
-      return f"Error: {e}"
+  try:
+      completion = openai_client.chat.completions.create(
+          model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7
+      )
+      feedback = completion.choices[0].message.content.strip()
+      return feedback
+  except Exception as e:
+      print(f"Error generating AI feedback: {e}")
+      return f"Error: {e}"

Committable suggestion

# Generate AI feedback using gpt-4o-mini
def generate_ai_feedback(category, question, user_response, tokens_for_ai):
    openai_client = OpenAI()
    messages = [
        {
            "role": "system",
            "content": "{tokens_for_ai} Generate a human-readable feedback message based on the following:",
        },
        {
            "role": "user",
            "content": f"Question: {question}\nResponse: {user_response}\nCategory: {category}",
        },
    ]

    try:
        completion = openai_client.chat.completions.create(
            model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7
        )
        feedback = completion.choices[0].message.content.strip()
        return feedback
    except Exception as e:
        print(f"Error generating AI feedback: {e}")
        return f"Error: {e}"

*Created by: coderabbitai[bot]* **Add error handling for AI API calls.** The `generate_ai_feedback` function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated. ```diff - try: - completion = openai_client.chat.completions.create( - model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7 - ) - feedback = completion.choices[0].message.content.strip() - return feedback - except Exception as e: - return f"Error: {e}" + try: + completion = openai_client.chat.completions.create( + model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7 + ) + feedback = completion.choices[0].message.content.strip() + return feedback + except Exception as e: + print(f"Error generating AI feedback: {e}") + return f"Error: {e}" ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion # Generate AI feedback using gpt-4o-mini def generate_ai_feedback(category, question, user_response, tokens_for_ai): openai_client = OpenAI() messages = [ { "role": "system", "content": "{tokens_for_ai} Generate a human-readable feedback message based on the following:", }, { "role": "user", "content": f"Question: {question}\nResponse: {user_response}\nCategory: {category}", }, ] try: completion = openai_client.chat.completions.create( model="gpt-4o-mini", messages=messages, max_tokens=250, temperature=0.7 ) feedback = completion.choices[0].message.content.strip() return feedback except Exception as e: print(f"Error generating AI feedback: {e}") return f"Error: {e}" ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for AI API calls.

The generate_grading function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated.

-  try:
-      completion = openai_client.chat.completions.create(
-          model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7
-      )
-      grading = completion.choices[0].message.content.strip()
-      return grading
-  except Exception as e:
-      return f"Error generating grading: {e}"
+  try:
+      completion = openai_client.chat.completions.create(
+          model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7
+      )
+      grading = completion.choices[0].message.content.strip()
+      return grading
+  except Exception as e:
+      print(f"Error generating grading: {e}")
+      return f"Error generating grading: {e}"

Committable suggestion

def generate_grading(chat_history, rubric):
    openai_client = OpenAI()
    messages = [
        {
            "role": "system",
            "content": f"Using the following rubric, grade the responses in the chat history:\n\n{rubric}",
        },
        {
            "role": "user",
            "content": f"Chat History:\n\n{json.dumps(chat_history, indent=2)}",
        },
    ]

    try:
        completion = openai_client.chat.completions.create(
            model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7
        )
        grading = completion.choices[0].message.content.strip()
        return grading
    except Exception as e:
        print(f"Error generating grading: {e}")
        return f"Error generating grading: {e}"

*Created by: coderabbitai[bot]* **Add error handling for AI API calls.** The `generate_grading` function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated. ```diff - try: - completion = openai_client.chat.completions.create( - model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7 - ) - grading = completion.choices[0].message.content.strip() - return grading - except Exception as e: - return f"Error generating grading: {e}" + try: + completion = openai_client.chat.completions.create( + model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7 + ) + grading = completion.choices[0].message.content.strip() + return grading + except Exception as e: + print(f"Error generating grading: {e}") + return f"Error generating grading: {e}" ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def generate_grading(chat_history, rubric): openai_client = OpenAI() messages = [ { "role": "system", "content": f"Using the following rubric, grade the responses in the chat history:\n\n{rubric}", }, { "role": "user", "content": f"Chat History:\n\n{json.dumps(chat_history, indent=2)}", }, ] try: completion = openai_client.chat.completions.create( model="gpt-4o-mini", messages=messages, max_tokens=1000, temperature=0.7 ) grading = completion.choices[0].message.content.strip() return grading except Exception as e: print(f"Error generating grading: {e}") return f"Error generating grading: {e}" ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for missing keys.

The provide_feedback function should handle potential errors when keys are not found in the YAML content.

-  section = next(
-      (s for s in yaml_content["sections"] if s["section_id"] == section_id), None
-  )
-  if not section:
-      return "Section not found.", None
-  step = next((s for s in section["steps"] if s["step_id"] == step_id), None)
-  if not step:
-      return "Step not found.", None
-  transition = step["transitions"].get(category, None)
-  if not transition:
-      return "Category not found.", None
+  try:
+      section = next(
+          (s for s in yaml_content["sections"] if s["section_id"] == section_id), None
+      )
+      if not section:
+          return "Section not found.", None
+      step = next((s for s in section["steps"] if s["step_id"] == step_id), None)
+      if not step:
+          return "Step not found.", None
+      transition = step["transitions"].get(category, None)
+      if not transition:
+          return "Category not found.", None
+  except KeyError as e:
+      return f"Key error: {e}", None

Committable suggestion

def provide_feedback(
    yaml_content, section_id, step_id, category, question, user_response
):
    try:
        section = next(
            (s for s in yaml_content["sections"] if s["section_id"] == section_id), None
        )
        if not section:
            return "Section not found.", None

        step = next((s for s in section["steps"] if s["step_id"] == step_id), None)
        if not step:
            return "Step not found.", None

        transition = step["transitions"].get(category, None)
        if not transition:
            return "Category not found.", None
    except KeyError as e:
        return f"Key error: {e}", None

    feedback = ""
    if "ai_feedback" in transition:
        tokens_for_ai = (
            step["tokens_for_ai"] + " " + transition["ai_feedback"]["tokens_for_ai"]
        )
        ai_feedback = generate_ai_feedback(
            category, question, user_response, tokens_for_ai
        )
        feedback += f"\n\nAI Feedback: {ai_feedback}"

    next_section_and_step = transition.get("next_section_and_step", None)
    return feedback, next_section_and_step

*Created by: coderabbitai[bot]* **Add error handling for missing keys.** The `provide_feedback` function should handle potential errors when keys are not found in the YAML content. ```diff - section = next( - (s for s in yaml_content["sections"] if s["section_id"] == section_id), None - ) - if not section: - return "Section not found.", None - step = next((s for s in section["steps"] if s["step_id"] == step_id), None) - if not step: - return "Step not found.", None - transition = step["transitions"].get(category, None) - if not transition: - return "Category not found.", None + try: + section = next( + (s for s in yaml_content["sections"] if s["section_id"] == section_id), None + ) + if not section: + return "Section not found.", None + step = next((s for s in section["steps"] if s["step_id"] == step_id), None) + if not step: + return "Step not found.", None + transition = step["transitions"].get(category, None) + if not transition: + return "Category not found.", None + except KeyError as e: + return f"Key error: {e}", None ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def provide_feedback( yaml_content, section_id, step_id, category, question, user_response ): try: section = next( (s for s in yaml_content["sections"] if s["section_id"] == section_id), None ) if not section: return "Section not found.", None step = next((s for s in section["steps"] if s["step_id"] == step_id), None) if not step: return "Step not found.", None transition = step["transitions"].get(category, None) if not transition: return "Category not found.", None except KeyError as e: return f"Key error: {e}", None feedback = "" if "ai_feedback" in transition: tokens_for_ai = ( step["tokens_for_ai"] + " " + transition["ai_feedback"]["tokens_for_ai"] ) ai_feedback = generate_ai_feedback( category, question, user_response, tokens_for_ai ) feedback += f"\n\nAI Feedback: {ai_feedback}" next_section_and_step = transition.get("next_section_and_step", None) return feedback, next_section_and_step ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for S3 operations.

The display_activity_info function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3.

-  response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
-  activity_yaml = response["Body"].read().decode("utf-8")
-  activity_content = yaml.safe_load(activity_yaml)
+  try:
+      response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
+      activity_yaml = response["Body"].read().decode("utf-8")
+      activity_content = yaml.safe_load(activity_yaml)
+  except Exception as e:
+      socketio.emit(
+          "message",
+          {
+              "id": None,
+              "username": "System",
+              "content": f"Error retrieving activity file from S3: {e}",
+          },
+          room=room_name,
+      )
+      return

Committable suggestion

def display_activity_info(room_name, username):
    with app.app_context():
        room = get_room(room_name)
        activity_state = ActivityState.query.filter_by(room_id=room.id).first()

        if not activity_state:
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": "No active activity found.",
                },
                room=room_name,
            )
            return

        # Load the activity YAML from S3
        s3_client = boto3.client("s3")
        bucket_name = os.environ.get("S3_BUCKET_NAME")
        s3_file_path = activity_state.s3_file_path

        try:
            response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
            activity_yaml = response["Body"].read().decode("utf-8")
            activity_content = yaml.safe_load(activity_yaml)
        except Exception as e:
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": f"Error retrieving activity file from S3: {e}",
                },
                room=room_name,
            )
            return

        # Fetch the entire room history
        all_messages = (
            Message.query.filter_by(room_id=room.id)
            .order_by(Message.id.asc())
            .all()
        )
        chat_history = [
            {
                "role": "system" if msg.username in system_users else "user",
                "username": msg.username,
                "content": msg.content,
            }
            for msg in all_messages
        ]

        # Prepare the rubric for grading
        rubric = activity_content.get(
            "tokens_for_ai_rubric",
            """
            Grade the responses of all users based on the following criteria:
            - Accuracy: How correct is the response?
            - Completeness: Does the response fully address the question?
            - Clarity: Is the response clear and easy to understand?
            - Engagement: Is the response engaging and interesting?
            Provide a score out of 10 for each criterion and an overall grade for each user.
            Finally order each user by who is winning. Number of correct answers and accuracy & include an enumeration of the feats!
            Take into account how many attempts the user took to get a passing answer when ranking.
            Don't just try to give the user a "B" or 35/40, really figure out a good placement considering some people don't know how to type.
        """,
        )

        # Generate the grading using the AI
        grading_message = generate_grading(chat_history, rubric)

        # Store and emit the activity info
        info_message = f"Activity Info:\nCurrent Section: {activity_state.section_id}\nCurrent Step: {activity_state.step_id}\nAttempts: {activity_state.attempts}\n\n{grading_message}"
        new_message = Message(
            username="System", content=info_message, room_id=room.id
        )
        db.session.add(new_message)
        db.session.commit()

        socketio.emit(
            "message",
            {
                "id": new_message.id,
                "username": "System",
                "content": info_message,
            },
            room=room_name,
        )

    except Exception as e:
        socketio.emit(
            "message",
            {
                "id": None,
                "username": "System",
                "content": f"Error displaying activity info: {e}",
            },
            room=room_name,
        )
        # Debugging: Log exception
        print(f"Exception: {e}")

*Created by: coderabbitai[bot]* **Add error handling for S3 operations.** The `display_activity_info` function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3. ```diff - response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) - activity_yaml = response["Body"].read().decode("utf-8") - activity_content = yaml.safe_load(activity_yaml) + try: + response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) + activity_yaml = response["Body"].read().decode("utf-8") + activity_content = yaml.safe_load(activity_yaml) + except Exception as e: + socketio.emit( + "message", + { + "id": None, + "username": "System", + "content": f"Error retrieving activity file from S3: {e}", + }, + room=room_name, + ) + return ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def display_activity_info(room_name, username): with app.app_context(): room = get_room(room_name) activity_state = ActivityState.query.filter_by(room_id=room.id).first() if not activity_state: socketio.emit( "message", { "id": None, "username": "System", "content": "No active activity found.", }, room=room_name, ) return # Load the activity YAML from S3 s3_client = boto3.client("s3") bucket_name = os.environ.get("S3_BUCKET_NAME") s3_file_path = activity_state.s3_file_path try: response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) activity_yaml = response["Body"].read().decode("utf-8") activity_content = yaml.safe_load(activity_yaml) except Exception as e: socketio.emit( "message", { "id": None, "username": "System", "content": f"Error retrieving activity file from S3: {e}", }, room=room_name, ) return # Fetch the entire room history all_messages = ( Message.query.filter_by(room_id=room.id) .order_by(Message.id.asc()) .all() ) chat_history = [ { "role": "system" if msg.username in system_users else "user", "username": msg.username, "content": msg.content, } for msg in all_messages ] # Prepare the rubric for grading rubric = activity_content.get( "tokens_for_ai_rubric", """ Grade the responses of all users based on the following criteria: - Accuracy: How correct is the response? - Completeness: Does the response fully address the question? - Clarity: Is the response clear and easy to understand? - Engagement: Is the response engaging and interesting? Provide a score out of 10 for each criterion and an overall grade for each user. Finally order each user by who is winning. Number of correct answers and accuracy & include an enumeration of the feats! Take into account how many attempts the user took to get a passing answer when ranking. Don't just try to give the user a "B" or 35/40, really figure out a good placement considering some people don't know how to type. """, ) # Generate the grading using the AI grading_message = generate_grading(chat_history, rubric) # Store and emit the activity info info_message = f"Activity Info:\nCurrent Section: {activity_state.section_id}\nCurrent Step: {activity_state.step_id}\nAttempts: {activity_state.attempts}\n\n{grading_message}" new_message = Message( username="System", content=info_message, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": info_message, }, room=room_name, ) except Exception as e: socketio.emit( "message", { "id": None, "username": "System", "content": f"Error displaying activity info: {e}", }, room=room_name, ) # Debugging: Log exception print(f"Exception: {e}") ````` </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for S3 operations.

The handle_activity_response function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3.

-  response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
-  activity_yaml = response["Body"].read().decode("utf-8")
-  activity_content = yaml.safe_load(activity_yaml)
+  try:
+      response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
+      activity_yaml = response["Body"].read().decode("utf-8")
+      activity_content = yaml.safe_load(activity_yaml)
+  except Exception as e:
+      socketio.emit(
+          "message",
+          {
+              "id": None,
+              "username": "System",
+              "content": f"Error retrieving activity file from S3: {e}",
+          },
+          room=room_name,
+      )
+      return

Committable suggestion

def handle_activity_response(room_name, user_response, username):
    with app.app_context():
        room = get_room(room_name)
        activity_state = ActivityState.query.filter_by(room_id=room.id).first()

        if not activity_state:
            return

        # Load the activity YAML from S3
        s3_client = boto3.client("s3")
        bucket_name = os.environ.get("S3_BUCKET_NAME")
        s3_file_path = activity_state.s3_file_path

        try:
            response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path)
            activity_yaml = response["Body"].read().decode("utf-8")
            activity_content = yaml.safe_load(activity_yaml)
        except Exception as e:
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": f"Error retrieving activity file from S3: {e}",
                },
                room=room_name,
            )
            return

        # Find the current section and step
        section = next(
            s
            for s in activity_content["sections"]
            if s["section_id"] == activity_state.section_id
        )
        step = next(
            s for s in section["steps"] if s["step_id"] == activity_state.step_id
        )

        # Check if the step has a question
        if "question" in step:
            # Categorize the user's response
            category = categorize_response(
                step["question"],
                user_response,
                step["buckets"],
                step["tokens_for_ai"],
            )

            # Emit the category to the frontend
            socketio.emit(
                "message",
                {
                    "id": None,
                    "username": "System",
                    "content": f"Category: {category}",
                },
                room=room_name,
            )

            # Check metadata conditions for the current step
            if "metadata_conditions" in step["transitions"][category]:
                conditions_met = all(
                    activity_state._json_metadata.get(key) == value
                    for key, value in step["transitions"][category][
                        "metadata_conditions"
                    ].items()
                )
                if not conditions_met:
                    # Emit a message indicating the conditions are not met
                    socketio.emit(
                        "message",
                        {
                            "id": None,
                            "username": "System",
                            "content": "You do not have the required items to proceed.",
                        },
                        room=room_name,
                    )
                    # Remind the user of what they can do in the room
                    content_blocks = step.get("content_blocks", [])
                    question = step.get("question", "")
                    options_message = (
                        "\n\n".join(content_blocks) + "\n\n" + question
                    )

                    new_message = Message(
                        username="System", content=options_message, room_id=room.id
                    )
                    db.session.add(new_message)
                    db.session.commit()

                    socketio.emit(
                        "message",
                        {
                            "id": new_message.id,
                            "username": "System",
                            "content": options_message,
                        },
                        room=room_name,
                    )
                    return

            # Provide feedback based on the category
            feedback, next_section_and_step = provide_feedback(
                activity_content,
                section["section_id"],
                step["step_id"],
                category,
                step["question"],
                user_response,
            )

            # Store and emit the feedback
            new_message = Message(
                username="System", content=feedback, room_id=room.id
            )
            db.session.add(new_message)
            db.session.commit()

            socketio.emit(
                "message",
                {
                    "id": new_message.id,
                    "username": "System",
                    "content": feedback,
                },
                room=room_name,
            )

            # Update metadata based on user actions
            if "metadata_updates" in step["transitions"][category]:
                print(f"metadata_updates in step/category")
                for key, value in step["transitions"][category][
                    "metadata_updates"
                ].items():
                    print(f"{key}: {value}")
                    activity_state.update_metadata(key, value)

                # Commit the changes after the loop
                db.session.add(activity_state)
                db.session.commit()

            # Log the updated metadata
            print(f"Updated metadata: {activity_state._json_metadata}")

            # if "correct" or max_attempts reached.
            if (
                category
                not in [
                    "off_topic",
                    "asking_clarifying_questions",
                    "partial_understanding",
                ]
                or activity_state.attempts >= activity_state.max_attempts
            ):
                if next_section_and_step:
                    (
                        current_section_id,
                        current_step_id,
                    ) = next_section_and_step.split(":")
                    next_section = next(
                        s
                        for s in activity_content["sections"]
                        if s["section_id"] == current_section_id
                    )
                    next_step = next(
                        s
                        for s in next_section["steps"]
                        if s["step_id"] == current_step_id
                    )
                else:
                    # Move to the next step or section
                    next_section, next_step = get_next_step(
                        activity_content, section["section_id"], step["step_id"]
                    )

                if next_step:
                    activity_state.section_id = next_section["section_id"]
                    activity_state.step_id = next_step["step_id"]
                    activity_state.attempts = 0

                    db.session.add(activity_state)
                    db.session.commit()

                    # Emit the new step content blocks
                    content = "\n\n".join(next_step["content_blocks"])
                    new_message = Message(
                        username="System", content=content, room_id=room.id
                    )
                    db.session.add(new_message)
                    db.session.commit()

                    socketio.emit(
                        "message",
                        {
                            "id": new_message.id,
                            "username": "System",
                            "content": content,
                        },
                        room=room_name,
                    )

                    # Emit the new question if it exists
                    if "question" in next_step:
                        question_content = f"Question: {next_step['question']}"
                        new_message = Message(
                            username="System",
                            content=question_content,
                            room_id=room.id,
                        )
                        db.session.add(new_message)
                        db.session.commit()

                        socketio.emit(
                            "message",
                            {
                                "id": new_message.id,
                                "username": "System",
                                "content": question_content,
                            },
                            room=room_name,
                        )
                else:
                    # Display activity info before completing
                    display_activity_info(room_name, username)

                    # Activity completed
                    db.session.delete(activity_state)
                    db.session.commit()
                    socketio.emit(
                        "message",
                        {
                            "id": None,
                            "username": "System",
                            "content": "Activity completed!",
                        },
                        room=room_name,
                    )
            else:
                # the user response is any bucket other than correct.
                activity_state.attempts += 1
                db.session.add(activity_state)
                db.session.commit()

                # Emit the question again
                question_content = f"Question: {step['question']}"
                new_message = Message(
                    username="System", content=question_content, room_id=room.id
                )
                db.session.add(new_message)
                db.session.commit()

                socketio.emit(
                    "message",
                    {
                        "id": new_message.id,
                        "username": "System",
                        "content": question_content,
                    },
                    room=room_name,
                )
        else:

Tools

Ruff

*Created by: coderabbitai[bot]* **Add error handling for S3 operations.** The `handle_activity_response` function lacks error handling for S3 operations. Consider adding try-except blocks to handle potential errors when accessing S3. ```diff - response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) - activity_yaml = response["Body"].read().decode("utf-8") - activity_content = yaml.safe_load(activity_yaml) + try: + response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) + activity_yaml = response["Body"].read().decode("utf-8") + activity_content = yaml.safe_load(activity_yaml) + except Exception as e: + socketio.emit( + "message", + { + "id": None, + "username": "System", + "content": f"Error retrieving activity file from S3: {e}", + }, + room=room_name, + ) + return ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion def handle_activity_response(room_name, user_response, username): with app.app_context(): room = get_room(room_name) activity_state = ActivityState.query.filter_by(room_id=room.id).first() if not activity_state: return # Load the activity YAML from S3 s3_client = boto3.client("s3") bucket_name = os.environ.get("S3_BUCKET_NAME") s3_file_path = activity_state.s3_file_path try: response = s3_client.get_object(Bucket=bucket_name, Key=s3_file_path) activity_yaml = response["Body"].read().decode("utf-8") activity_content = yaml.safe_load(activity_yaml) except Exception as e: socketio.emit( "message", { "id": None, "username": "System", "content": f"Error retrieving activity file from S3: {e}", }, room=room_name, ) return # Find the current section and step section = next( s for s in activity_content["sections"] if s["section_id"] == activity_state.section_id ) step = next( s for s in section["steps"] if s["step_id"] == activity_state.step_id ) # Check if the step has a question if "question" in step: # Categorize the user's response category = categorize_response( step["question"], user_response, step["buckets"], step["tokens_for_ai"], ) # Emit the category to the frontend socketio.emit( "message", { "id": None, "username": "System", "content": f"Category: {category}", }, room=room_name, ) # Check metadata conditions for the current step if "metadata_conditions" in step["transitions"][category]: conditions_met = all( activity_state._json_metadata.get(key) == value for key, value in step["transitions"][category][ "metadata_conditions" ].items() ) if not conditions_met: # Emit a message indicating the conditions are not met socketio.emit( "message", { "id": None, "username": "System", "content": "You do not have the required items to proceed.", }, room=room_name, ) # Remind the user of what they can do in the room content_blocks = step.get("content_blocks", []) question = step.get("question", "") options_message = ( "\n\n".join(content_blocks) + "\n\n" + question ) new_message = Message( username="System", content=options_message, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": options_message, }, room=room_name, ) return # Provide feedback based on the category feedback, next_section_and_step = provide_feedback( activity_content, section["section_id"], step["step_id"], category, step["question"], user_response, ) # Store and emit the feedback new_message = Message( username="System", content=feedback, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": feedback, }, room=room_name, ) # Update metadata based on user actions if "metadata_updates" in step["transitions"][category]: print(f"metadata_updates in step/category") for key, value in step["transitions"][category][ "metadata_updates" ].items(): print(f"{key}: {value}") activity_state.update_metadata(key, value) # Commit the changes after the loop db.session.add(activity_state) db.session.commit() # Log the updated metadata print(f"Updated metadata: {activity_state._json_metadata}") # if "correct" or max_attempts reached. if ( category not in [ "off_topic", "asking_clarifying_questions", "partial_understanding", ] or activity_state.attempts >= activity_state.max_attempts ): if next_section_and_step: ( current_section_id, current_step_id, ) = next_section_and_step.split(":") next_section = next( s for s in activity_content["sections"] if s["section_id"] == current_section_id ) next_step = next( s for s in next_section["steps"] if s["step_id"] == current_step_id ) else: # Move to the next step or section next_section, next_step = get_next_step( activity_content, section["section_id"], step["step_id"] ) if next_step: activity_state.section_id = next_section["section_id"] activity_state.step_id = next_step["step_id"] activity_state.attempts = 0 db.session.add(activity_state) db.session.commit() # Emit the new step content blocks content = "\n\n".join(next_step["content_blocks"]) new_message = Message( username="System", content=content, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": content, }, room=room_name, ) # Emit the new question if it exists if "question" in next_step: question_content = f"Question: {next_step['question']}" new_message = Message( username="System", content=question_content, room_id=room.id, ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": question_content, }, room=room_name, ) else: # Display activity info before completing display_activity_info(room_name, username) # Activity completed db.session.delete(activity_state) db.session.commit() socketio.emit( "message", { "id": None, "username": "System", "content": "Activity completed!", }, room=room_name, ) else: # the user response is any bucket other than correct. activity_state.attempts += 1 db.session.add(activity_state) db.session.commit() # Emit the question again question_content = f"Question: {step['question']}" new_message = Message( username="System", content=question_content, room_id=room.id ) db.session.add(new_message) db.session.commit() socketio.emit( "message", { "id": new_message.id, "username": "System", "content": question_content, }, room=room_name, ) else: ````` </details>  <details> <summary>Tools</summary> <details> <summary>Ruff</summary><blockquote> 1919-1919: f-string without any placeholders Remove extraneous `f` prefix (F541) </blockquote></details> </details>

russellballestrini commented

2024-07-28 21:17:48 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Add error handling for AI API calls.

The categorize_response function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated.

-  try:
-      completion = openai_client.chat.completions.create(
-          model="gpt-4o-mini",
-          messages=messages,
-          max_tokens=5,
-          temperature=0,
-      )
-      category = (
-          completion.choices[0]
-          .message.content.strip()
-          .lower()
-          .replace(" ", "_")
-          .strip("_")
-      )
-      return category
-  except Exception as e:
-      return f"Error: {e}"
+  try:
+      completion = openai_client.chat.completions.create(
+          model="gpt-4o-mini",
+          messages=messages,
+          max_tokens=5,
+          temperature=0,
+      )
+      category = (
+          completion.choices[0]
+          .message.content.strip()
+          .lower()
+          .replace(" ", "_")
+          .strip("_")
+      )
+      return category
+  except Exception as e:
+      print(f"Error categorizing response: {e}")
+      return f"Error: {e}"

Committable suggestion

# Categorize the user's response using gpt-4o-mini
def categorize_response(question, response, buckets, tokens_for_ai):
    openai_client = OpenAI()
    bucket_list = ", ".join(buckets)
    messages = [
        {
            "role": "system",
            "content": f"{tokens_for_ai} Categorize the following response into one of the following buckets: {bucket_list}. Return ONLY a bucket label.",
        },
        {
            "role": "user",
            "content": f"Question: {question}\nResponse: {response}\n\nCategory:",
        },
    ]

    try:
        completion = openai_client.chat.completions.create(
            model="gpt-4o-mini",
            messages=messages,
            max_tokens=5,
            temperature=0,
        )
        category = (
            completion.choices[0]
            .message.content.strip()
            .lower()
            .replace(" ", "_")
            .strip("_")
        )
        return category
    except Exception as e:
        print(f"Error categorizing response: {e}")
        return f"Error: {e}"

*Created by: coderabbitai[bot]* **Add error handling for AI API calls.** The `categorize_response` function should have more robust error handling for AI API calls to ensure that any issues are properly logged and communicated. ```diff - try: - completion = openai_client.chat.completions.create( - model="gpt-4o-mini", - messages=messages, - max_tokens=5, - temperature=0, - ) - category = ( - completion.choices[0] - .message.content.strip() - .lower() - .replace(" ", "_") - .strip("_") - ) - return category - except Exception as e: - return f"Error: {e}" + try: + completion = openai_client.chat.completions.create( + model="gpt-4o-mini", + messages=messages, + max_tokens=5, + temperature=0, + ) + category = ( + completion.choices[0] + .message.content.strip() + .lower() + .replace(" ", "_") + .strip("_") + ) + return category + except Exception as e: + print(f"Error categorizing response: {e}") + return f"Error: {e}" ```  <details> <summary>Committable suggestion</summary> > :bangbang: **IMPORTANT** > Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements. `````suggestion # Categorize the user's response using gpt-4o-mini def categorize_response(question, response, buckets, tokens_for_ai): openai_client = OpenAI() bucket_list = ", ".join(buckets) messages = [ { "role": "system", "content": f"{tokens_for_ai} Categorize the following response into one of the following buckets: {bucket_list}. Return ONLY a bucket label.", }, { "role": "user", "content": f"Question: {question}\nResponse: {response}\n\nCategory:", }, ] try: completion = openai_client.chat.completions.create( model="gpt-4o-mini", messages=messages, max_tokens=5, temperature=0, ) category = ( completion.choices[0] .message.content.strip() .lower() .replace(" ", "_") .strip("_") ) return category except Exception as e: print(f"Error categorizing response: {e}") return f"Error: {e}" ````` </details>

russellballestrini commented

2024-07-28 21:17:49 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Review: Commented

Actionable comments posted: 18

Outside diff range, codebase verification and nitpick comments (22)

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 698455fb40 and aa783ded70.

Files selected for processing (21)

README.rst (1 hunks)
app.py (5 hunks)
migrations/versions/d04950c5a624_add_activitystate_table2.py (1 hunks)
migrations/versions/d3631b8bb652_add_activitystate_table.py (1 hunks)
migrations/versions/d737de68d6fa_add_metadata_field_to_activitystate.py (1 hunks)
research/activity.yaml (1 hunks)
research/activity0.yaml (1 hunks)
research/activity10.yaml (1 hunks)
research/activity11.yaml (1 hunks)
research/activity12.yaml (1 hunks)
research/activity13-choose-adventure.yaml (1 hunks)
research/activity14-choose-adventure.yaml (1 hunks)
research/activity2.yaml (1 hunks)
research/activity3.yaml (1 hunks)
research/activity4.yaml (1 hunks)
research/activity5.yaml (1 hunks)
research/activity6.yaml (1 hunks)
research/activity7.yaml (1 hunks)
research/activity8.yaml (1 hunks)
research/activity9.yaml (1 hunks)
research/guarded_ai.py (1 hunks)

Additional context used

Ruff

Additional comments not posted (181)

*Created by: coderabbitai[bot]* **Review:** Commented **Actionable comments posted: 18** <details> <summary>Outside diff range, codebase verification and nitpick comments (22)</summary><blockquote> <details> <summary>migrations/versions/d737de68d6fa_add_metadata_field_to_activitystate.py (3)</summary><blockquote> `1-7`: **Add a more detailed docstring.** Consider providing more details in the docstring to describe the purpose and context of this migration. ```diff - """Add metadata field to ActivityState + """Migration script to add a metadata field to the ActivityState table. + + This migration adds a 'json_metadata' column to store additional metadata in JSON format. ``` --- `8-10`: **Import only necessary modules.** If you don't need all of `sqlalchemy`, consider importing only the necessary components to reduce overhead. ```diff - import sqlalchemy as sa + from sqlalchemy import Column, UnicodeText ``` --- `27-30`: **Consider adding a comment for the downgrade method.** Adding comments to explain the downgrade logic can help future developers understand the purpose of these commands. ```diff - def downgrade(): + def downgrade(): + # Remove the 'json_metadata' column from the 'activity_state' table ``` </blockquote></details> <details> <summary>migrations/versions/d04950c5a624_add_activitystate_table2.py (3)</summary><blockquote> `1-7`: **Add a more detailed docstring.** Consider providing more details in the docstring to describe the purpose and context of this migration. ```diff - """Add ActivityState table2 + """Migration script to add s3_file_path field to the ActivityState table. + + This migration adds an 's3_file_path' column to store the S3 file path associated with the activity state. ``` --- `8-10`: **Import only necessary modules.** If you don't need all of `sqlalchemy`, consider importing only the necessary components to reduce overhead. ```diff - import sqlalchemy as sa + from sqlalchemy import Column, String ``` --- `29-32`: **Consider adding a comment for the downgrade method.** Adding comments to explain the downgrade logic can help future developers understand the purpose of these commands. ```diff - def downgrade(): + def downgrade(): + # Remove the 's3_file_path' column from the 'activity_state' table ``` </blockquote></details> <details> <summary>migrations/versions/d3631b8bb652_add_activitystate_table.py (3)</summary><blockquote> `1-7`: **Add a more detailed docstring.** Consider providing more details in the docstring to describe the purpose and context of this migration. ```diff - """Add ActivityState table + """Migration script to create the ActivityState table. + + This migration creates the 'activity_state' table to store the state of activities, including room_id, section_id, step_id, attempts, and max_attempts. ``` --- `8-10`: **Import only necessary modules.** If you don't need all of `sqlalchemy`, consider importing only the necessary components to reduce overhead. ```diff - import sqlalchemy as sa + from sqlalchemy import Column, Integer, String, ForeignKey, PrimaryKeyConstraint ``` --- `38-40`: **Consider adding a comment for the downgrade method.** Adding comments to explain the downgrade logic can help future developers understand the purpose of these commands. ```diff - def downgrade(): + def downgrade(): + # Drop the 'activity_state' table ``` </blockquote></details> <details> <summary>research/activity.yaml (1)</summary><blockquote> `1-1`: **Consider adding a description for `default_max_attempts_per_step`.** Providing a description for `default_max_attempts_per_step` will enhance the readability and maintainability of the configuration. ```yaml default_max_attempts_per_step: 3 # Maximum number of attempts allowed per step ``` </blockquote></details> <details> <summary>research/guarded_ai.py (2)</summary><blockquote> `1-2`: **Consider adding docstrings to imported modules.** Adding docstrings to imported modules will enhance the readability and maintainability of the code. ```python import yaml # PyYAML library for parsing YAML files from openai import OpenAI # OpenAI library for interacting with GPT models ``` --- `67-94`: **Add docstrings to the `provide_feedback` function.** Adding docstrings will enhance the readability and maintainability of the code. ```python def provide_feedback( yaml_content, section_id, step_id, category, question, user_response ): """ Provide feedback based on the user's response category. Args: yaml_content (dict): The YAML content of the activity. section_id (str): The ID of the current section. step_id (str): The ID of the current step. category (str): The category of the user's response. question (str): The question asked to the user. user_response (str): The user's response. Returns: tuple: A tuple containing the feedback message and the next section and step IDs. """ section = next( (s for s in yaml_content["sections"] if s["section_id"] == section_id), None ) if not section: return "Section not found." step = next((s for s in section["steps"] if s["step_id"] == step_id), None) if not step: return "Step not found." transition = step["transitions"].get(category, None) if not transition: return "Category not found." feedback = "" if "ai_feedback" in transition: tokens_for_ai = ( step["tokens_for_ai"] + " " + transition["ai_feedback"]["tokens_for_ai"] ) ai_feedback = generate_ai_feedback( category, question, user_response, tokens_for_ai ) feedback += f"\n\nAI Feedback: {ai_feedback}" next_section_and_step = transition.get("next_section_and_step", None) return feedback, next_section_and_step ``` </blockquote></details> <details> <summary>research/activity14-choose-adventure.yaml (8)</summary><blockquote> `7-17`: **Ensure clarity in user instructions.** The initial step provides clear instructions and choices for the user. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you choose? Look under the rug, Examine the book, or Try to open the safe? 🤔 + What do you choose? Look under the rug, Examine the book, or Try the safe? 🤔 ``` --- `45-52`: **Ensure clarity in user instructions.** The transition for trying to open the safe is clear. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - Do you look under the rug, examine the book, or continue exploring the room? + Do you look under the rug, examine the book, or explore the room? ``` --- `64-74`: **Ensure clarity in user instructions.** The initial step provides clear instructions and choices for the user. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you choose? Take the key or Continue exploring? 🤔 + What do you choose? Take the key or Explore the room? 🤔 ``` --- `91-98`: **Ensure clarity in user instructions.** The transition for continuing to explore the room is clear. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you do next? Examine the book or try to open the safe? + What do you do next? Examine the book or try the safe? ``` --- `117-127`: **Ensure clarity in user instructions.** The initial step provides clear instructions and choices for the user. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you choose? Take note of the password or Continue exploring? 🤔 + What do you choose? Take the password or Explore the room? 🤔 ``` --- `144-151`: **Ensure clarity in user instructions.** The transition for continuing to explore the room is clear. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you do next? Look under the rug or try to open the safe? + What do you do next? Look under the rug or try the safe? ``` --- `170-180`: **Ensure clarity in user instructions.** The initial step provides clear instructions and choices for the user. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you choose? Use the key and enter the password or Continue exploring? 🤔 + What do you choose? Use the key and password or Explore the room? 🤔 ``` --- `199-206`: **Ensure clarity in user instructions.** The transition for continuing to explore the room is clear. However, consider simplifying the question to avoid overwhelming the user with too many options at once. ```diff - What do you do next? Look under the rug or examine the book? + What do you do next? Look under the rug or examine the book? 🤔 ``` </blockquote></details> <details> <summary>app.py (1)</summary><blockquote> Line range hint `327-371`: **Add error handling for command processing.** The `handle_message` function should handle potential errors when processing commands to ensure robustness. ```diff - if command.startswith("/activity info"): - gevent.spawn(display_activity_info, room_name, data["username"]) - return - if command.startswith("/activity cancel"): - gevent.spawn(cancel_activity, room_name, data["username"]) - return - if command.startswith("/activity"): - s3_file_path = command.split(" ", 1)[1].strip() - gevent.spawn(start_activity, room_name, s3_file_path, data["username"]) - return + try: + if command.startswith("/activity info"): + gevent.spawn(display_activity_info, room_name, data["username"]) + return + if command.startswith("/activity cancel"): + gevent.spawn(cancel_activity, room_name, data["username"]) + return + if command.startswith("/activity"): + s3_file_path = command.split(" ", 1 </blockquote></details> <details> <summary>research/activity2.yaml (1)</summary><blockquote> `1-1`: **Consider adding a description for the default_max_attempts_per_step.** While the default maximum attempts per step is set, providing a brief description would enhance clarity. ```yaml default_max_attempts_per_step: 3 # Maximum attempts allowed per step ``` </blockquote></details> </blockquote></details> <details> <summary>Review details</summary> **Configuration used: CodeRabbit UI** **Review profile: CHILL** <details> <summary>Commits</summary> Files that changed from the base of the PR and between 698455fb40c3b513922c66ed25589b8bfc1c59f6 and aa783ded700a954f63c4a8c9a94e1d2e9bfe65c0. </details> <details> <summary>Files selected for processing (21)</summary> * README.rst (1 hunks) * app.py (5 hunks) * migrations/versions/d04950c5a624_add_activitystate_table2.py (1 hunks) * migrations/versions/d3631b8bb652_add_activitystate_table.py (1 hunks) * migrations/versions/d737de68d6fa_add_metadata_field_to_activitystate.py (1 hunks) * research/activity.yaml (1 hunks) * research/activity0.yaml (1 hunks) * research/activity10.yaml (1 hunks) * research/activity11.yaml (1 hunks) * research/activity12.yaml (1 hunks) * research/activity13-choose-adventure.yaml (1 hunks) * research/activity14-choose-adventure.yaml (1 hunks) * research/activity2.yaml (1 hunks) * research/activity3.yaml (1 hunks) * research/activity4.yaml (1 hunks) * research/activity5.yaml (1 hunks) * research/activity6.yaml (1 hunks) * research/activity7.yaml (1 hunks) * research/activity8.yaml (1 hunks) * research/activity9.yaml (1 hunks) * research/guarded_ai.py (1 hunks) </details> <details> <summary>Additional context used</summary> <details> <summary>Ruff</summary><blockquote> <details> <summary>research/guarded_ai.py</summary><blockquote> 155-155: Undefined name `get_next_step` (F821) </blockquote></details> <details> <summary>app.py</summary><blockquote> 1919-1919: f-string without any placeholders Remove extraneous `f` prefix (F541) </blockquote></details> </blockquote></details> </details> <details> <summary>Additional comments not posted (181)</summary><blockquote> <details> <summary>migrations/versions/d737de68d6fa_add_metadata_field_to_activitystate.py (1)</summary><blockquote> `21-22`: **Ensure server_default value is appropriate.** The server default value for `json_metadata` is set to an empty JSON object. Ensure this is the desired default value. </blockquote></details> <details> <summary>migrations/versions/d04950c5a624_add_activitystate_table2.py (1)</summary><blockquote> `22-24`: **Ensure the length of s3_file_path is appropriate.** The length of `s3_file_path` is set to 256. Ensure this length is appropriate for your use case. </blockquote></details> <details> <summary>migrations/versions/d3631b8bb652_add_activitystate_table.py (1)</summary><blockquote> `21-34`: **Ensure foreign key constraint is correct.** The foreign key constraint references `room.id`. Ensure that the `room` table and `id` column exist and are correctly referenced. </blockquote></details> <details> <summary>research/activity.yaml (1)</summary><blockquote> `3-73`: **Ensure consistency in section and step structure.** The section and step structure is consistent and well-defined. Each step includes titles, content blocks, tokens for AI, questions, buckets, and transitions. </blockquote></details> <details> <summary>research/guarded_ai.py (1)</summary><blockquote> `97-117`: **Ensure consistency in function naming.** The function `get_next_section_and_step` is well-defined and follows best practices. </blockquote></details> <details> <summary>README.rst (2)</summary><blockquote> `146-147`: **Ensure clarity in the description of the `research/` directory.** The description of the `research/` directory is clear and concise. --- `149-172`: **Ensure clarity and completeness in the "Activity Mode" section.** The "Activity Mode" section is well-defined and provides clear instructions for users. Ensure that the commands are accurately described and tested. </blockquote></details> <details> <summary>research/activity14-choose-adventure.yaml (18)</summary><blockquote> `25-34`: **Ensure consistency in metadata updates.** The metadata update for finding the key is clear. Ensure similar consistency for other transitions. --- `35-44`: **Ensure consistency in metadata updates.** The metadata update for finding the password is clear. Ensure similar consistency for other transitions. --- `53-57`: **Ensure supportive feedback for off-topic responses.** The feedback for off-topic responses is clear and supportive. Ensure similar consistency for other transitions. --- `58-62`: **Ensure supportive feedback for clarifying questions.** The feedback for clarifying questions is clear and supportive. Ensure similar consistency for other transitions. --- `82-90`: **Ensure consistency in metadata updates.** The metadata update for taking the key is clear. Ensure similar consistency for other transitions. --- `99-105`: **Ensure supportive feedback for going back.** The feedback for going back is clear and supportive. Ensure similar consistency for other transitions. --- `106-110`: **Ensure supportive feedback for off-topic responses.** The feedback for off-topic responses is clear and supportive. Ensure similar consistency for other transitions. --- `111-115`: **Ensure supportive feedback for clarifying questions.** The feedback for clarifying questions is clear and supportive. Ensure similar consistency for other transitions. --- `135-143`: **Ensure consistency in metadata updates.** The metadata update for taking the password is clear. Ensure similar consistency for other transitions. --- `152-158`: **Ensure supportive feedback for going back.** The feedback for going back is clear and supportive. Ensure similar consistency for other transitions. --- `159-163`: **Ensure supportive feedback for off-topic responses.** The feedback for off-topic responses is clear and supportive. Ensure similar consistency for other transitions. --- `164-168`: **Ensure supportive feedback for clarifying questions.** The feedback for clarifying questions is clear and supportive. Ensure similar consistency for other transitions. --- `188-191`: **Ensure consistency in metadata conditions.** The metadata conditions for using the key and password are clear. Ensure similar consistency for other transitions. --- `192-198`: **Ensure clarity in user instructions.** The transition for using the key and password is clear and provides positive reinforcement. Ensure similar consistency for other transitions. --- `207-213`: **Ensure supportive feedback for going back.** The feedback for going back is clear and supportive. Ensure similar consistency for other transitions. --- `214-218`: **Ensure supportive feedback for off-topic responses.** The feedback for off-topic responses is clear and supportive. Ensure similar consistency for other transitions. --- `219-223`: **Ensure supportive feedback for clarifying questions.** The feedback for clarifying questions is clear and supportive. Ensure similar consistency for other transitions. --- `225-234`: **Ensure positive reinforcement in final step.** The final step provides positive reinforcement and congratulates the user. Ensure similar consistency for other sections. </blockquote></details> <details> <summary>research/activity6.yaml (8)</summary><blockquote> `3-18`: **Review: Section "Introduction to Cybersecurity" - Step "What is Cybersecurity?"** - **Correctness**: The content is accurate and provides a good introduction to cybersecurity. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `40-72`: **Review: Section "Introduction to Cybersecurity" - Step "Importance of Cybersecurity"** - **Correctness**: The content accurately explains the importance of cybersecurity. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `77-109`: **Review: Section "Common Cybersecurity Threats" - Step "Phishing Attacks"** - **Correctness**: The content accurately describes phishing attacks and how to recognize them. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `111-143`: **Review: Section "Common Cybersecurity Threats" - Step "Malware"** - **Correctness**: The content accurately describes malware and its types. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `148-181`: **Review: Section "Best Practices for Cybersecurity" - Step "Strong Passwords"** - **Correctness**: The content accurately explains the importance of strong passwords and how to create them. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `183-215`: **Review: Section "Best Practices for Cybersecurity" - Step "Two-Factor Authentication"** - **Correctness**: The content accurately explains two-factor authentication and its benefits. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `219-252`: **Review: Section "Recognizing and Responding to Threats" - Step "Recognizing Phishing Emails"** - **Correctness**: The content accurately explains how to recognize phishing emails. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `253-285`: **Review: Section "Recognizing and Responding to Threats" - Step "Responding to a Cyber Attack"** - **Correctness**: The content accurately explains how to respond to a suspected cyber attack. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. </blockquote></details> <details> <summary>research/activity0.yaml (9)</summary><blockquote> `3-41`: **Review: Section "Introduction to The GNU Manifesto" - Step "What is The GNU Manifesto?"** - **Correctness**: The content accurately introduces The GNU Manifesto and its significance. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `42-75`: **Review: Section "Introduction to The GNU Manifesto" - Step "Importance of The GNU Manifesto"** - **Correctness**: The content accurately explains the importance of The GNU Manifesto. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `77-114`: **Review: Section "Key Concepts of The GNU Manifesto" - Step "What is GNU?"** - **Correctness**: The content accurately explains what GNU is and its significance. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `115-149`: **Review: Section "Key Concepts of The GNU Manifesto" - Step "Why GNU Will Be Free"** - **Correctness**: The content accurately explains why GNU will be free and its importance. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `150-186`: **Review: Section "Contributing to GNU" - Step "How to Contribute"** - **Correctness**: The content accurately explains how to contribute to the GNU Project. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `187-220`: **Review: Section "Contributing to GNU" - Step "Ways to Contribute"** - **Correctness**: The content accurately explains the various ways to contribute to the GNU Project. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `221-257`: **Review: Section "Legacy of The GNU Manifesto" - Step "Impact on Software Development"** - **Correctness**: The content accurately explains the impact of The GNU Manifesto on software development. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `258-291`: **Review: Section "Legacy of The GNU Manifesto" - Step "Future of Free Software"** - **Correctness**: The content accurately explains the future of free software and its impact on technology. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `292-302`: **Review: Section "Congratulations!" - Step "Well Done!"** - **Correctness**: The content accurately congratulates the user on completing the course. - **Logic**: The logical flow from content blocks is clear. - **Completeness**: The step provides a comprehensive conclusion to the activity. - **Maintainability**: The structure is modular, making it easy to update or add new steps. </blockquote></details> <details> <summary>research/activity4.yaml (4)</summary><blockquote> `3-39`: **Review: Section "Introduction to Mario" - Step "Who is Mario?"** - **Correctness**: The content accurately introduces Mario and his significance. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `40-74`: **Review: Section "Introduction to Mario" - Step "Mario's First Game"** - **Correctness**: The content accurately explains Mario's first appearance in video games. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `75-111`: **Review: Section "Mario's Friends and Foes" - Step "Mario's Friends"** - **Correctness**: The content accurately explains who Mario's friends are. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps. --- `112-145`: **Review: Section "Mario's Friends and Foes" - Step "Mario's Foes"** - **Correctness**: The content accurately explains who Mario's foes are. - **Logic**: The logical flow from content blocks to AI tokens, question, and buckets is clear. - **Completeness**: The transitions cover all possible user responses, ensuring comprehensive feedback. - **Maintainability**: The structure is modular, making it easy to update or add new steps.

russellballestrini commented

2024-07-29 06:19:53 -04:00

(Migrated from git2.unturf.com)

Created by: coderabbitai[bot]

Review: Commented

Actionable comments posted: 0

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Review profile: CHILL

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Files that changed from the base of the PR and between aa783ded70 and dd13bce82b.

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research/guarded_ai.py (1 hunks)

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research/guarded_ai.py

*Created by: coderabbitai[bot]* **Review:** Commented **Actionable comments posted: 0** <details> <summary>Review details</summary> **Configuration used: CodeRabbit UI** **Review profile: CHILL** <details> <summary>Commits</summary> Files that changed from the base of the PR and between aa783ded700a954f63c4a8c9a94e1d2e9bfe65c0 and dd13bce82bf959e896d79994a2c67fa8c06b874a. </details> <details> <summary>Files selected for processing (1)</summary> * research/guarded_ai.py (1 hunks) </details> <details> <summary>Files skipped from review as they are similar to previous changes (1)</summary> * research/guarded_ai.py </details> </details>

russellballestrini commented

2024-07-29 06:34:51 -04:00

(Migrated from git2.unturf.com)

Merged by: russellballestrini at 2024-07-29 10:34:51 UTC

*Merged by: russellballestrini at 2024-07-29 10:34:51 UTC*

russellballestrini (Migrated from git2.unturf.com) closed this pull request

2024-07-29 06:34:51 -04:00

russellballestrini (Migrated from git2.unturf.com) merged commit into main

2024-07-29 06:34:51 -04:00