Merge pull request #7 from lpm0073/next

setup unit tests

.pylintrc

@@ -6,3 +6,6 @@ ignore =
 
 [FORMAT]
 max-line-length=120
+
+[MESSAGES CONTROL]
+disable=C0103

Makefile

@@ -25,7 +25,8 @@ activate:
 	. venv/bin/activate
 
 test:
-	echo "No tests yet"
+	cd grader && \
+	pytest -v -s tests/
 
 lint:
 	pre-commit run --all-files && \

grader/__version__.py

@@ -1,2 +1 @@
-# -*- coding: utf-8 -*-
-__version__ = "0.0.0"
+__version__ = '1.1.0'

grader/exceptions.py

@@ -0,0 +1,34 @@
+# -*- coding: utf-8 -*-
+"""Custom exceptions for the AutomatedGrader class."""
+
+
+class InvalidResponseStructureError(Exception):
+    """A custom exception for the AutomatedGrader class."""
+
+    def __init__(self, message):
+        self.message = message
+        super().__init__(self.message)
+
+
+class IncorrectResponseValueError(Exception):
+    """A custom exception for the AutomatedGrader class."""
+
+    def __init__(self, message):
+        self.message = message
+        super().__init__(self.message)
+
+
+class IncorrectResponseTypeError(Exception):
+    """A custom exception for the AutomatedGrader class."""
+
+    def __init__(self, message):
+        self.message = message
+        super().__init__(self.message)
+
+
+class ResponseFailedError(Exception):
+    """A custom exception for the AutomatedGrader class."""
+
+    def __init__(self, message):
+        self.message = message
+        super().__init__(self.message)

grader/grader.py

@@ -0,0 +1,139 @@
+# -*- coding: utf-8 -*-
+"""Provide a class for grading a submission against an assignment.""" ""
+
+import json
+
+from .exceptions import (
+    IncorrectResponseTypeError,
+    IncorrectResponseValueError,
+    InvalidResponseStructureError,
+    ResponseFailedError,
+)
+
+
+REQUIRED_KEYS_SPEC = "required-keys.json"
+HUMAN_PROMPT = {"content": "a prompt from a human", "additional_kwargs": {}, "type": "human", "example": False}
+AI_RESPONSE = {"content": "a response from the AI", "additional_kwargs": {}, "type": "ai", "example": False}
+
+
+# flake8: noqa: E701
+class AutomatedGrader:
+    """Grade a submission against an assignment."""
+
+    def __init__(self, assignment):
+        self.assignment = assignment
+        with open(REQUIRED_KEYS_SPEC, "r", encoding="utf-8") as f:  # pylint: disable=invalid-name
+            self.required_keys = json.load(f)
+
+    def validate_keys(self, subject, control):
+        """Validate that the subject has all the keys in the control dict."""
+        assignment_keys = set(subject.keys())
+        required_keys = set(control.keys())
+
+        if not required_keys.issubset(assignment_keys):
+            raise InvalidResponseStructureError("The assignment is missing one or more required keys.")
+        return True
+
+    def validate_statuscode(self):
+        """Validate that the assignment's statusCode is 200."""
+        if not isinstance(self.assignment.get("statusCode"), int):
+            raise IncorrectResponseTypeError("The assignment's statusCode must be an integer.")
+        if not self.assignment["statusCode"] == 200:
+            raise ResponseFailedError("The assignment's statusCode must be 200.")
+        return True
+
+    def validate_base64encoded(self):
+        """Validate that the assignment's isBase64Encoded is False."""
+        if not isinstance(self.assignment.get("isBase64Encoded"), bool):
+            raise IncorrectResponseTypeError("The assignment's base64Encoded must be a boolean.")
+        if self.assignment["isBase64Encoded"]:
+            raise IncorrectResponseValueError("The assignment's isBase64Encoded must be False.")
+
+    def validate_body(self):
+        """Validate that the assignment's body is a dict with the correct keys."""
+        body = self.assignment.get("body")
+        if not isinstance(body, dict):
+            body_type = type(body)
+            raise IncorrectResponseTypeError(f"The assignment's body must be a dict. Received {body_type}.")
+        if not "chat_memory" in body:
+            raise InvalidResponseStructureError(
+                f"The assignment's body must have a key named chat_memory. body: {body}"
+            )
+        if not "messages" in body["chat_memory"]:
+            raise InvalidResponseStructureError(
+                f"The assignment's body.chat_memory must has a key named messages. body: {body}"
+            )
+        messages = body["chat_memory"]["messages"]
+        if not isinstance(messages, list):
+            messages_type = type(messages)
+            raise IncorrectResponseTypeError(
+                f"The assignment's body.chat_memory.messages must be a list. Received {messages_type}."
+            )
+        if len(messages) < 2:
+            raise InvalidResponseStructureError(
+                f"The messages list must contain at least two elements. messages: {messages}"
+            )
+
+        for message in messages:
+            if not isinstance(message, dict):
+                raise IncorrectResponseTypeError(
+                    f"All elements in the messages list must be dictionaries. messages: {messages}"
+                )
+
+        human_prompt = messages[0]
+        ai_response = messages[1]
+
+        self.validate_keys(human_prompt, HUMAN_PROMPT)
+        self.validate_keys(ai_response, AI_RESPONSE)
+
+        if not human_prompt["type"] == "human":
+            raise IncorrectResponseValueError(f"The first message must be a human prompt. first prompt: {human_prompt}")
+        if not ai_response["type"] == "ai":
+            raise IncorrectResponseValueError(f"The second message must be an AI response. response: {ai_response}")
+
+    def validate_metadata(self):
+        """Validate that the assignment's metadata is a dict with the correct keys."""
+        body = self.assignment.get("body")
+        request_meta_data = body["request_meta_data"]
+        if not isinstance(request_meta_data, dict):
+            raise InvalidResponseStructureError(f"The assignment must has a dict named request_meta_data. body: {body}")
+        if not request_meta_data["lambda"] == "lambda_langchain":
+            raise IncorrectResponseValueError(f"The request_meta_data.lambda must be lambda_langchain. body: {body}")
+        if not request_meta_data["model"] == "gpt-3.5-turbo":
+            raise IncorrectResponseValueError(f"The request_meta_data.model must be gpt-3.5-turbo. body: {body}")
+        if not request_meta_data["end_point"] == "ChatCompletion":
+            raise IncorrectResponseValueError(f"The request_meta_data.end_point must be ChatCompletion. body: {body}")
+
+    def validate(self):
+        """Validate the assignment data structure."""
+        if not isinstance(self.assignment, dict):
+            raise InvalidResponseStructureError("The assignment must be a dictionary.")
+        self.validate_keys(self.assignment, self.required_keys)
+        self.validate_statuscode()
+        self.validate_base64encoded()
+        self.validate_body()
+        self.validate_metadata()
+
+    def grade_response(self, grade, message=None):
+        """Create a grade dict from the assignment."""
+        message_type = message.__class__.__name__ if message else "Success"
+        message = str(message) if message else "Great job!"
+        return {
+            "grade": grade,
+            "message": message,
+            "message_type": message_type,
+        }
+
+    def grade(self):
+        """Grade the assignment."""
+        try:
+            self.validate()
+        except InvalidResponseStructureError as e:
+            return self.grade_response(75, e)
+        except ResponseFailedError as e:
+            return self.grade_response(80, e)
+        except IncorrectResponseValueError as e:
+            return self.grade_response(85, e)
+        except IncorrectResponseTypeError as e:
+            return self.grade_response(90, e)
+        return self.grade_response(100)

grader/required-keys.json

@@ -0,0 +1,22 @@
+{
+  "isBase64Encoded": false,
+  "statusCode": 200,
+  "body": {
+    "chat_memory": {
+      "messages": []
+    },
+    "output_key": null,
+    "input_key": null,
+    "return_messages": true,
+    "human_prefix": "Human",
+    "ai_prefix": "AI",
+    "memory_key": "chat_history",
+    "request_meta_data": {
+      "lambda": "lambda_langchain",
+      "model": "gpt-3.5-turbo",
+      "end_point": "ChatCompletion",
+      "temperature": 0.5,
+      "max_tokens": 256
+    }
+  }
+}

grader/tests/events/lawrence-mcdaniel-homework1-correct-verbose.json

@@ -0,0 +1,59 @@
+{
+  "isBase64Encoded": false,
+  "statusCode": 200,
+  "body": {
+    "chat_memory": {
+      "messages": [
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        },
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        },
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        }
+      ]
+    },
+    "output_key": null,
+    "input_key": null,
+    "return_messages": true,
+    "human_prefix": "Human",
+    "ai_prefix": "AI",
+    "memory_key": "chat_history",
+    "request_meta_data": {
+      "lambda": "lambda_langchain",
+      "model": "gpt-3.5-turbo",
+      "end_point": "ChatCompletion",
+      "temperature": 0.5,
+      "max_tokens": 256
+    }
+  }
+}

grader/tests/events/lawrence-mcdaniel-homework1-correct.json

@@ -0,0 +1,35 @@
+{
+  "isBase64Encoded": false,
+  "statusCode": 200,
+  "body": {
+    "chat_memory": {
+      "messages": [
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        }
+      ]
+    },
+    "output_key": null,
+    "input_key": null,
+    "return_messages": true,
+    "human_prefix": "Human",
+    "ai_prefix": "AI",
+    "memory_key": "chat_history",
+    "request_meta_data": {
+      "lambda": "lambda_langchain",
+      "model": "gpt-3.5-turbo",
+      "end_point": "ChatCompletion",
+      "temperature": 0.5,
+      "max_tokens": 256
+    }
+  }
+}

grader/tests/events/lawrence-mcdaniel-homework1-incorrect-response-status.json

@@ -0,0 +1,35 @@
+{
+  "isBase64Encoded": false,
+  "statusCode": 403,
+  "body": {
+    "chat_memory": {
+      "messages": [
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        }
+      ]
+    },
+    "output_key": null,
+    "input_key": null,
+    "return_messages": true,
+    "human_prefix": "Human",
+    "ai_prefix": "AI",
+    "memory_key": "chat_history",
+    "request_meta_data": {
+      "lambda": "lambda_langchain",
+      "model": "gpt-3.5-turbo",
+      "end_point": "ChatCompletion",
+      "temperature": 0.5,
+      "max_tokens": 256
+    }
+  }
+}

grader/tests/events/lawrence-mcdaniel-homework1-incorrect-response-type.txt

@@ -0,0 +1,35 @@
+"{
+  "isBase64Encoded": false,
+  "statusCode": 200,
+  "body": {
+    "chat_memory": {
+      "messages": [
+        {
+          "content": "Marv, I'd like to introduce you to all the nice YouTube viewers.",
+          "additional_kwargs": {},
+          "type": "human",
+          "example": false
+        },
+        {
+          "content": "Oh, how delightful. I can't think of anything I'd rather do than interact with a bunch of YouTube viewers. Just kidding, I'd rather be doing literally anything else. But go ahead, introduce me to your lovely audience. I'm sure they'll be absolutely thrilled to meet me.",
+          "additional_kwargs": {},
+          "type": "ai",
+          "example": false
+        }
+      ]
+    },
+    "output_key": null,
+    "input_key": null,
+    "return_messages": true,
+    "human_prefix": "Human",
+    "ai_prefix": "AI",
+    "memory_key": "chat_history",
+    "request_meta_data": {
+      "lambda": "lambda_langchain",
+      "model": "gpt-3.5-turbo",
+      "end_point": "ChatCompletion",
+      "temperature": 0.5,
+      "max_tokens": 256
+    }
+  }
+}"