From 2e41a7cabe187330e9ba38dfef210c00c0ca6a85 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Tue, 4 Nov 2025 18:36:16 +0000 Subject: [PATCH 01/11] Swap to using UV --- .github/copilot-instructions.md | 13 +- .github/workflows/ci_python.yml | 18 +- README.md | 18 +- backend/Dockerfile | 13 +- backend/README.md | 72 +- backend/pyproject.toml | 45 + backend/pytest.ini | 4 - backend/uv.lock | 2142 +++++++++++++++++++++++++++++++ 8 files changed, 2298 insertions(+), 27 deletions(-) create mode 100644 backend/pyproject.toml delete mode 100644 backend/pytest.ini create mode 100644 backend/uv.lock diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md index 4c0f29a..81c3b7a 100644 --- a/.github/copilot-instructions.md +++ b/.github/copilot-instructions.md @@ -64,8 +64,12 @@ DEEPSEEK_API_KEY=... # Full stack with Docker Compose docker-compose up --build -# Backend only (for API development) -cd backend && uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8000 +# Backend only (for API development) - UV method +cd backend && uv sync --dev --no-install-project && uv run --script dev + +# Testing +uv run pytest -v # Unit tests only (no API calls) +uv run pytest -m integration # Integration tests with real API calls # Access points: # - Frontend: http://localhost:8080 @@ -79,10 +83,11 @@ cd backend && uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8 ## Code Quality Standards -- **Linting**: Uses `ruff` for Python code formatting and linting +- **Package Management**: Uses UV for fast dependency management and virtual environments +- **Linting**: Uses `ruff` for Python code formatting and linting (`uv run ruff check .`) - **Type Checking**: Expected for new Python code - **Testing**: Always add unit tests; integration tests for API changes -- **Dependencies**: Keep `requirements.txt` minimal; dev dependencies in `requirements-dev.txt` +- **Dependencies**: Managed via `pyproject.toml`; dev dependencies in `[project.optional-dependencies]` ## Common Development Tasks diff --git a/.github/workflows/ci_python.yml b/.github/workflows/ci_python.yml index f5dbc61..e2a8686 100644 --- a/.github/workflows/ci_python.yml +++ b/.github/workflows/ci_python.yml @@ -21,13 +21,23 @@ jobs: with: python-version: "3.10" + - name: Install UV + run: curl -LsSf https://astral.sh/uv/install.sh | sh + - name: Install dependencies run: | - # Install ruff for linting and the development requirements (including pytest) - pip install -r backend/requirements-dev.txt + source $HOME/.cargo/env + cd backend + uv sync --dev --no-install-project - name: Lint Python with ruff ๐Ÿš€ - run: ruff check backend/ + run: | + source $HOME/.cargo/env + cd backend + uv run ruff check . - name: Run Pytest ๐Ÿงช - run: pytest -q backend/tests/ -v + run: | + source $HOME/.cargo/env + cd backend + uv run pytest -q tests/ -v diff --git a/README.md b/README.md index 7554d2d..b04717e 100644 --- a/README.md +++ b/README.md @@ -54,25 +54,37 @@ This project uses Docker Compose to run both the FastAPI backend and the fronten ### Running Locally 1. **Set Environment Variables** - Make sure your `OPENAI_API_KEY` is set in your environment or in a `.env` file at the project root: + Make sure your API keys are set in your environment or in a `.env` file at the project root: ```sh export OPENAI_API_KEY=your_openai_api_key_here + export GEMINI_API_KEY=your_gemini_api_key_here + # ... other API keys ``` Or create a `.env` file with: ``` OPENAI_API_KEY=your_openai_api_key_here + GEMINI_API_KEY=your_gemini_api_key_here + # ... other API keys ``` -2. **Build and Run the Containers** +2. **Build and Run with Docker Compose** From the project root, run: ```sh docker-compose up --build ``` This command builds and starts both the backend and frontend containers. +3. **Alternative: Run Backend Locally with UV** + For faster development iteration: + ```sh + cd backend + uv sync --dev + uv run uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8000 + ``` + 3. **Access the Services** - **Backend API (FastAPI)**: [http://localhost:8000](http://localhost:8000) - **Frontend**: [http://localhost:8080](http://localhost:8080) -With these steps, you can easily test both the backend API and the static frontend locally using Docker Compose. +With these steps, you can easily test both the backend API and the static frontend locally using Docker Compose or UV for faster backend development. diff --git a/backend/Dockerfile b/backend/Dockerfile index 3f4428c..55a7c31 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -2,18 +2,23 @@ # https://fastapi.tiangolo.com/deployment/docker/#dockerfile FROM python:3.10-slim +# Install UV +COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv + # Set working directory WORKDIR /code -# Copy requirements file and install dependencies -COPY ./requirements.txt /code/requirements.txt -RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt +# Copy project files +COPY ./pyproject.toml /code/pyproject.toml + +# Install dependencies without installing the project itself +RUN uv sync --no-dev --no-install-project # Copy application code COPY . /code # Command to run the application using Uvicorn -CMD ["uvicorn", "fastapi_generate_quiz:app", "--host", "0.0.0.0", "--port", "8000"] +CMD ["uv", "run", "uvicorn", "fastapi_generate_quiz:app", "--host", "0.0.0.0", "--port", "8000"] # docker build -t fastapi_generate_quiz:latest . # Build container # docker run -p 8000:8000 -e OPENAI_API_KEY fastapi_generate_quiz:latest # Run container diff --git a/backend/README.md b/backend/README.md index 53dbc9f..9f93f8d 100644 --- a/backend/README.md +++ b/backend/README.md @@ -34,6 +34,59 @@ Certain functions may require environment variables (e.g., `OPENAI_API_KEY`). Th ## Debug To debug locally, follow these steps: +### Using UV (Recommended) + +1. **Install UV** (if not already installed): + ```sh + curl -LsSf https://astral.sh/uv/install.sh | sh + ``` + +2. **Install dependencies**: + ```sh + cd backend + uv sync --dev --no-install-project + ``` + +3. **Run the FastAPI application**: + ```sh + # Option 1: Using the configured script + uv run --script dev + + # Option 2: Direct command + uv run uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8000 + ``` + +4. **Test the endpoints** (requires valid API keys and quota): + ```sh + # Test quiz generation (will fail if no API quota) + curl "http://localhost:8000/GenerateQuiz?topic=UK%20History&difficulty=easy&n_questions=3" + + # Test image generation + curl "http://localhost:8000/GenerateImage?prompt=A%20Juicy%20Burger" + ``` + +5. **Run tests**: + ```sh + # Unit tests only (default - no API calls required) + uv run pytest -v + + # Integration tests (requires API keys and quota) + uv run pytest -m integration + + # All tests + uv run pytest -v --tb=short + ``` + +6. **Run linting**: + ```sh + uv run ruff check . + uv run ruff format . + ``` + +> **Note**: Direct execution of `generate_quiz.py` requires valid API keys and quota. For development without making API calls, use the unit tests (`uv run pytest -v`) which use mocked responses. + +### Using Docker + 1. **Build the Docker container**: ```sh docker build -t fastapi_generate_quiz:latest . @@ -56,6 +109,8 @@ To debug locally, follow these steps: curl "http://localhost:8000/GenerateImage?prompt=Kangeroo%20Playing%20BasketBall" ``` +### Docker Registry Commands + 4. **Tag the Docker image for GitHub Container Registry**: ```sh docker tag fastapi_generate_quiz:latest ghcr.io/djsaunders1997/fastapi_generate_quiz:latest @@ -78,19 +133,20 @@ Our test suite is divided into **unit tests** and **integration tests**. ### Default Behavior -By default, integration tests are **excluded** from the test run. This is achieved by configuring `pytest` in our `pytest.ini` file (located in the `backend` directory): +By default, integration tests are **excluded** from the test run. This is achieved by configuring `pytest` in our `pyproject.toml` file: -```ini -[pytest] -markers = - integration: mark test as an integration test. -addopts = -m "not integration" +```toml +[tool.pytest.ini_options] +markers = [ + "integration: mark test as an integration test." +] +addopts = "-m 'not integration'" ``` This configuration tells `pytest` to skip any test marked with `@pytest.mark.integration` when you run: ```bash -pytest -v +uv run pytest -v ``` ### Running Integration Tests @@ -98,7 +154,7 @@ pytest -v To run the integration tests, override the default marker filter by using the `-m` option: ```bash -pytest -m integration +uv run pytest -m integration ``` > **Note:** Integration tests make real API calls and require the `OPENAI_API_KEY` environment variable to be set. Make sure you have this environment variable configured before running these tests. diff --git a/backend/pyproject.toml b/backend/pyproject.toml new file mode 100644 index 0000000..600fa32 --- /dev/null +++ b/backend/pyproject.toml @@ -0,0 +1,45 @@ +[project] +name = "gpteasers-backend" +version = "0.1.0" +description = "FastAPI backend for GPTeasers quiz generation app" +authors = [ + {name = "DJSaundes1997@gmail.com"} +] +requires-python = ">=3.10" +dependencies = [ + "openai", + "fastapi", + "uvicorn", + "litellm", +] + +[project.optional-dependencies] +dev = [ + "ruff", + "pytest", + "pytest-mock", +] + +[project.scripts] +dev = "uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8000" + +[tool.ruff] +line-length = 88 +target-version = "py310" + +[tool.ruff.lint] +select = ["E", "F", "W", "I"] + +[tool.pytest.ini_options] +markers = [ + "integration: mark test as an integration test." +] +addopts = "-m 'not integration'" +testpaths = ["tests"] + +[dependency-groups] 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a/backend/fastapi_generate_quiz.py +++ b/backend/fastapi_generate_quiz.py @@ -3,9 +3,10 @@ import logging from generate_quiz import QuizGenerator from generate_image import ImageGenerator -from fastapi import FastAPI, Request +from fastapi import FastAPI, Query from fastapi.responses import StreamingResponse, JSONResponse from fastapi.middleware.cors import CORSMiddleware +from typing import Optional # Copy Azure Docs Example # https://github.com/Azure-Samples/fastapi-on-azure-functions/tree/main @@ -22,7 +23,12 @@ @app.get("/GenerateQuiz") -async def generate_quiz_endpoint(request: Request) -> JSONResponse: +async def generate_quiz_endpoint( + topic: str = Query(..., description="The subject for the quiz (e.g., 'UK History')"), + difficulty: str = Query(..., description="The desired difficulty (e.g., 'easy', 'medium', 'hard')"), + n_questions: int = Query(10, description="Number of questions to generate (defaults to 10)"), + model: Optional[str] = Query(None, description="The model to use. If not provided, the default from QuizGenerator is used") +) -> StreamingResponse: """ FastAPI endpoint to generate a quiz based on topic, difficulty, and model. @@ -34,49 +40,21 @@ async def generate_quiz_endpoint(request: Request) -> JSONResponse: Returns: - StreamingResponse: Streams quiz questions in SSE format. - - JSONResponse: Error message if required parameters are missing. """ - # Retrieve query parameters - topic = request.query_params.get("topic") - difficulty = request.query_params.get("difficulty") - n_questions = request.query_params.get("n_questions") - model = request.query_params.get("model") - logging.info( f"Python HTTP trigger function processed a request with {topic=} {difficulty=}, {n_questions=}, model={model}." ) - # If either 'topic' or 'difficulty' is missing, return an error. - if not topic or not difficulty: - error_message = "Please provide a topic and difficulty in the query string or in the request body to generate a quiz." - logging.error(error_message) - return JSONResponse( - content={"error": error_message}, - status_code=400, - ) - - # Set default number of questions if not provided. - if not n_questions: - n_questions = 10 - else: - # Convert n_questions to an integer if provided as string. - try: - n_questions = int(n_questions) - except ValueError: - error_message = "n_questions must be an integer." - logging.error(error_message) - return JSONResponse( - content={"error": error_message}, - status_code=400, - ) - logging.info( f"Generating quiz with: {topic=}, {difficulty=}, {n_questions=}, {model=}." ) # Create a QuizGenerator instance. # TODO: rename to quiz creator ? - quiz_generator = QuizGenerator(model=model) + if model is not None: + quiz_generator = QuizGenerator(model=model) + else: + quiz_generator = QuizGenerator() generator = quiz_generator.generate_quiz(topic, difficulty, n_questions) # Return the quiz as a streaming response in SSE format. @@ -84,7 +62,9 @@ async def generate_quiz_endpoint(request: Request) -> JSONResponse: @app.get("/GenerateImage") -async def generate_image_endpoint(request: Request) -> JSONResponse: +async def generate_image_endpoint( + prompt: str = Query(..., description="The prompt for image generation") +) -> JSONResponse: """ FastAPI endpoint to generate an image based on a provided prompt. @@ -95,12 +75,7 @@ async def generate_image_endpoint(request: Request) -> JSONResponse: - JSONResponse: Contains the generated image URL or an error message. """ logging.info("Processing image generation request.") - prompt = request.query_params.get("prompt") - if not prompt: - error_message = "No prompt query param provided for image generation." - logging.warning(error_message) - return JSONResponse(content={"error": error_message}, status_code=400) - + logging.info(f"Received image prompt: {prompt}") image_generator = ImageGenerator() image_url = image_generator.generate_image(prompt) From 7ce5f5385c09be48b25ded431a279716af47da0d Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sat, 8 Nov 2025 09:56:22 +0000 Subject: [PATCH 03/11] change default to gemini 2 --- backend/generate_quiz.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index 7961724..5e206fe 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -3,9 +3,7 @@ import json import os from response_stream_parser import ResponseStreamParser - -# Import the completion function from litellm (as shown in the docs example) -from litellm import completion +import litellm # Set up logging logger = logging.getLogger(__name__) @@ -23,7 +21,6 @@ class QuizGenerator: "gpt-4-turbo", "o1-mini", "o3-mini", - "gemini/gemini-pro", "gemini/gemini-2.0-flash", "gemini/gemini-1.5-pro-latest", "azure_ai/DeepSeek-R1", @@ -183,7 +180,7 @@ def _create_llm_stream(self, prompt: str): Generator: A generator yielding streamed response chunks from the LLM. """ # The completion function supports a stream flag. - return completion( + return litellm.completion( model=self.model, messages=[{"role": "user", "content": prompt}], stream=True, @@ -221,7 +218,7 @@ def print_quiz(generator: Generator[str, None, None]): "azure_ai/DeepSeek-R1", ] - quiz_generator = QuizGenerator(model="o1-mini") + quiz_generator = QuizGenerator(model="gemini/gemini-2.0-flash") topic = "Crested Gecko" difficulty = "Medium" From 5dd52ee31b598769d3d71f44963ec1627e212f09 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sat, 8 Nov 2025 10:11:57 +0000 Subject: [PATCH 04/11] Enhance FastAPI backend with detailed API documentation and logging; add support for retrieving AI models and update frontend to dynamically load models --- backend/fastapi_generate_quiz.py | 101 ++++++++++++++++--- backend/tests/test_response_stream_parser.py | 12 +-- frontend/index.html | 3 +- frontend/scripts/app.js | 27 +++++ frontend/scripts/controller.js | 27 +++++ frontend/scripts/ui.js | 33 ++++++ 6 files changed, 180 insertions(+), 23 deletions(-) diff --git a/backend/fastapi_generate_quiz.py b/backend/fastapi_generate_quiz.py index 2ec84bb..a4c51bf 100644 --- a/backend/fastapi_generate_quiz.py +++ b/backend/fastapi_generate_quiz.py @@ -1,4 +1,5 @@ -# Example of openai streaming +# GPTeasers FastAPI Backend +# AI-powered quiz generation and image creation service # https://platform.openai.com/docs/api-reference/streaming import logging from generate_quiz import QuizGenerator @@ -8,9 +9,53 @@ from fastapi.middleware.cors import CORSMiddleware from typing import Optional +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + # Copy Azure Docs Example # https://github.com/Azure-Samples/fastapi-on-azure-functions/tree/main -app = FastAPI() +app = FastAPI( + title="GPTeasers AI Quiz Generator", + description=""" + ## GPTeasers Backend API + + A powerful AI-driven service for generating educational quizzes and images + using multiple AI providers including OpenAI, Gemini, Azure AI, and DeepSeek. + + ### Features: + - **Real-time Quiz Streaming**: Generate quiz questions with Server-Sent Events + - **Multiple AI Providers**: Support for OpenAI, Gemini, Azure AI, DeepSeek models + - **Dynamic Image Generation**: Create contextual images using DALL-E + - **Flexible Configuration**: Customizable difficulty levels and question counts + - **Dynamic Model Discovery**: Frontend automatically syncs with available models + + ### Supported AI Models: + - OpenAI: gpt-3.5-turbo, gpt-4-turbo, o1-mini, o3-mini + - Google Gemini: gemini-2.0-flash, gemini-1.5-pro-latest + - Azure AI: DeepSeek-R1 and other Azure-hosted models + + ### Usage Examples: + - Quiz Generation: `/GenerateQuiz?topic=Python&difficulty=medium&n_questions=5` + - Image Creation: `/GenerateImage?prompt=A beautiful sunset over mountains` + - Model Discovery: `/SupportedModels` + + ### Architecture: + - Streams quiz questions in real-time using Server-Sent Events (SSE) + - Uses LiteLLM for universal AI provider abstraction + - CORS enabled for frontend integration + - Comprehensive error handling and logging + """, + version="1.0.0", + contact={ + "name": "GPTeasers Development Team", + "email": "DJSaunders1997@gmail.com", + }, + license_info={ + "name": "MIT License", + "url": "https://github.com/DJSaunders1997/GPTeasers/blob/main/LICENSE", + }, +) # Set up CORS for locally testing app.add_middleware( @@ -24,10 +69,19 @@ @app.get("/GenerateQuiz") async def generate_quiz_endpoint( - topic: str = Query(..., description="The subject for the quiz (e.g., 'UK History')"), - difficulty: str = Query(..., description="The desired difficulty (e.g., 'easy', 'medium', 'hard')"), - n_questions: int = Query(10, description="Number of questions to generate (defaults to 10)"), - model: Optional[str] = Query(None, description="The model to use. If not provided, the default from QuizGenerator is used") + topic: str = Query( + ..., description="The subject for the quiz (e.g., 'UK History')" + ), + difficulty: str = Query( + ..., description="The desired difficulty (e.g., 'easy', 'medium', 'hard')" + ), + n_questions: int = Query( + 10, description="Number of questions to generate (defaults to 10)" + ), + model: Optional[str] = Query( + None, + description="The model to use. If not provided, the default from QuizGenerator is used", + ), ) -> StreamingResponse: """ FastAPI endpoint to generate a quiz based on topic, difficulty, and model. @@ -36,13 +90,14 @@ async def generate_quiz_endpoint( - topic: The subject for the quiz (e.g., "UK History"). - difficulty: The desired difficulty (e.g., "easy", "medium"). - n_questions: (Optional) Number of questions to generate (defaults to 10). - - model: (Optional) The model to use. If not provided, the default from QuizGenerator is used. + - model: (Optional) AI model to use; defaults to QuizGenerator's default. Returns: - StreamingResponse: Streams quiz questions in SSE format. """ - logging.info( - f"Python HTTP trigger function processed a request with {topic=} {difficulty=}, {n_questions=}, model={model}." + logger.info( + f"Quiz request: topic={topic}, difficulty={difficulty}, " + f"n_questions={n_questions}, model={model}" ) logging.info( @@ -61,9 +116,25 @@ async def generate_quiz_endpoint( return StreamingResponse(generator, media_type="text/event-stream") +@app.get("/SupportedModels") +async def get_supported_models() -> JSONResponse: + """ + FastAPI endpoint to retrieve the list of supported AI models. + + Returns: + - JSONResponse: Contains an array of supported model names. + """ + logger.info("Retrieving supported models list.") + + supported_models = QuizGenerator.SUPPORTED_MODELS + + logger.info(f"Returning {len(supported_models)} supported models.") + return JSONResponse(content={"models": supported_models}, status_code=200) + + @app.get("/GenerateImage") async def generate_image_endpoint( - prompt: str = Query(..., description="The prompt for image generation") + prompt: str = Query(..., description="The prompt for image generation"), ) -> JSONResponse: """ FastAPI endpoint to generate an image based on a provided prompt. @@ -74,18 +145,18 @@ async def generate_image_endpoint( Returns: - JSONResponse: Contains the generated image URL or an error message. """ - logging.info("Processing image generation request.") - - logging.info(f"Received image prompt: {prompt}") + logger.info("Processing image generation request.") + + logger.info(f"Received image prompt: {prompt}") image_generator = ImageGenerator() image_url = image_generator.generate_image(prompt) if image_url is None: error_message = "Error - Image generation failed." - logging.error(error_message) + logger.error(error_message) return JSONResponse(content={"error": error_message}, status_code=500) - logging.info(f"Generated image for prompt '{prompt}': {image_url}") + logger.info(f"Generated image for prompt '{prompt}': {image_url}") return JSONResponse(content={"image_url": image_url}, status_code=200) diff --git a/backend/tests/test_response_stream_parser.py b/backend/tests/test_response_stream_parser.py index 4acc52d..9acc4b2 100644 --- a/backend/tests/test_response_stream_parser.py +++ b/backend/tests/test_response_stream_parser.py @@ -61,13 +61,13 @@ def test_split_buffer(self, response_parser): print("Complete Lines:", complete_lines) print("Remainder:", remainder) - assert complete_lines == expected_complete_lines, ( - f"Expected complete lines '{expected_complete_lines}', but got {complete_lines}" - ) + assert ( + complete_lines == expected_complete_lines + ), f"Expected complete lines '{expected_complete_lines}', but got {complete_lines}" - assert remainder == expected_remainder, ( - f"Expected remainder '{expected_remainder}', but got {remainder}" - ) + assert ( + remainder == expected_remainder + ), f"Expected remainder '{expected_remainder}', but got {remainder}" def test_process_line_valid_json(self, response_parser): """ diff --git a/frontend/index.html b/frontend/index.html index bcde7e6..daaca1e 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -79,10 +79,9 @@

GPTeasers ๐Ÿง ๐Ÿ’ก

- - diff --git a/frontend/scripts/app.js b/frontend/scripts/app.js index e115d01..a74b31c 100644 --- a/frontend/scripts/app.js +++ b/frontend/scripts/app.js @@ -14,6 +14,9 @@ class App { this.controller = new Controller(this.quiz); this.ui = new UI(); + // Load supported models dynamically + this.loadSupportedModels(); + // Initialise button event listeners. // The arrow function implicitly binds the method to the current instance of this class. document @@ -128,6 +131,30 @@ class App { this.quiz.checkAnswer(answer); this.showQuestion(); } + + /** + * Loads the supported models from the backend API and populates the dropdown. + * Called during app initialization to ensure the dropdown is dynamically populated. + */ + async loadSupportedModels() { + try { + console.log("Loading supported models from backend..."); + const models = await this.controller.fetchSupportedModels(); + + if (models && models.length > 0) { + // Use gemini/gemini-2.0-flash as default since it's currently working + const defaultModel = "gemini/gemini-2.0-flash"; + this.ui.populateModelDropdown(models, defaultModel); + console.log("Successfully populated model dropdown"); + } else { + console.warn("No supported models received from backend"); + } + } catch (error) { + console.error("Failed to load supported models:", error); + // Don't alert the user as this is a background operation + // The dropdown will keep its existing hardcoded options if this fails + } + } } const app = new App(); diff --git a/frontend/scripts/controller.js b/frontend/scripts/controller.js index ddd5f1d..5f17b16 100644 --- a/frontend/scripts/controller.js +++ b/frontend/scripts/controller.js @@ -23,6 +23,7 @@ class Controller { } this.baseURLQuiz = `${this.baseURL}/GenerateQuiz`; this.baseURLImage = `${this.baseURL}/GenerateImage`; + this.baseURLModels = `${this.baseURL}/SupportedModels`; this.quiz = quiz; // this will be initialized as a quiz object this.numQuestions = this.quiz.numQuestions; } @@ -144,6 +145,32 @@ class Controller { throw error; } } + + /** + * Fetches the list of supported AI models from the backend. + * + * @public + * @returns {Promise} Array of supported model names. + * @throws {Error} When the network response is not ok. + */ + async fetchSupportedModels() { + console.log("Fetching supported models from backend..."); + + try { + const response = await fetch(this.baseURLModels); + + if (response.ok) { + const data = await response.json(); + console.log("Received supported models:", data.models); + return data.models; + } else { + throw new Error(`HTTP Error: ${response.status} ${response.statusText}`); + } + } catch (error) { + console.error("Error occurred while fetching supported models:", error); + throw error; + } + } } export default Controller; diff --git a/frontend/scripts/ui.js b/frontend/scripts/ui.js index a32ac40..227f40c 100644 --- a/frontend/scripts/ui.js +++ b/frontend/scripts/ui.js @@ -76,6 +76,39 @@ class UI { return this.quizModel.value; } + /** + * Populates the model dropdown with the provided list of models. + * Clears existing options and creates new ones. + * + * @param {Array} models - Array of model names from the backend + * @param {string} defaultModel - Optional default model to select + */ + populateModelDropdown(models, defaultModel = null) { + console.log("Populating model dropdown with:", models); + + // Clear existing options + this.quizModel.innerHTML = ''; + + // Create and add new options + models.forEach(model => { + const option = document.createElement('option'); + option.value = model; + option.textContent = model; + + // Set as selected if it's the default model + if (defaultModel && model === defaultModel) { + option.selected = true; + } + + this.quizModel.appendChild(option); + }); + + // If no default was provided or found, select the first option + if (!defaultModel && models.length > 0) { + this.quizModel.selectedIndex = 0; + } + } + // Display question in ui elements // Example currentQuestion format: // { From 01daf1525771272d2746edd7b582945f88930c7d Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sat, 8 Nov 2025 10:52:12 +0000 Subject: [PATCH 05/11] change to ues api keys --- backend/fastapi_generate_quiz.py | 14 ++++++--- backend/generate_quiz.py | 44 ++++++++++++++++------------- backend/pyproject.toml | 1 + backend/tests/test_generate_quiz.py | 14 +++++---- backend/uv.lock | 2 ++ 5 files changed, 45 insertions(+), 30 deletions(-) diff --git a/backend/fastapi_generate_quiz.py b/backend/fastapi_generate_quiz.py index a4c51bf..09a5feb 100644 --- a/backend/fastapi_generate_quiz.py +++ b/backend/fastapi_generate_quiz.py @@ -2,12 +2,18 @@ # AI-powered quiz generation and image creation service # https://platform.openai.com/docs/api-reference/streaming import logging -from generate_quiz import QuizGenerator -from generate_image import ImageGenerator +from typing import Optional + +from dotenv import load_dotenv from fastapi import FastAPI, Query -from fastapi.responses import StreamingResponse, JSONResponse from fastapi.middleware.cors import CORSMiddleware -from typing import Optional +from fastapi.responses import JSONResponse, StreamingResponse + +from generate_image import ImageGenerator +from generate_quiz import QuizGenerator + +# Load environment variables from .env file +load_dotenv() # Configure logging logging.basicConfig(level=logging.INFO) diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index 5e206fe..7153b50 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -1,9 +1,15 @@ -from typing import Generator, Optional -import logging import json +import logging import os -from response_stream_parser import ResponseStreamParser +from typing import Generator, Optional + import litellm +from dotenv import load_dotenv + +from response_stream_parser import ResponseStreamParser + +# Load environment variables +load_dotenv() # Set up logging logger = logging.getLogger(__name__) @@ -66,25 +72,23 @@ class QuizGenerator: @classmethod def check_api_key_from_env(cls) -> None: - """Retrieves the API keys from environment variables. + """Check if at least one API key is available. Raises: - ValueError: If the environment variable is not set or empty. + ValueError: If no API keys are found. """ - - for key in [ - "OPENAI_API_KEY", - "GEMINI_API_KEY", - "DEEPSEEK_API_KEY", - "AZURE_AI_API_KEY", - "AZURE_AI_API_BASE", - ]: - api_key = os.getenv(key) - if not api_key: - raise ValueError( - f"Environment variable {key} is not set." - "Please ensure it's set and try again." - ) + api_keys = [ + os.getenv("OPENAI_API_KEY"), + os.getenv("GEMINI_API_KEY"), + os.getenv("DEEPSEEK_API_KEY"), + os.getenv("AZURE_AI_API_KEY"), + ] + + if not any(api_keys): + raise ValueError( + "No API keys found. Please set at least one of: " + "OPENAI_API_KEY, GEMINI_API_KEY, DEEPSEEK_API_KEY, or AZURE_AI_API_KEY" + ) @staticmethod def check_model_is_supported(model: str) -> str: @@ -218,7 +222,7 @@ def print_quiz(generator: Generator[str, None, None]): "azure_ai/DeepSeek-R1", ] - quiz_generator = QuizGenerator(model="gemini/gemini-2.0-flash") + quiz_generator = QuizGenerator(model="o1-mini") topic = "Crested Gecko" difficulty = "Medium" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 600fa32..935c519 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -11,6 +11,7 @@ dependencies = [ "fastapi", "uvicorn", "litellm", + "python-dotenv", ] [project.optional-dependencies] diff --git a/backend/tests/test_generate_quiz.py b/backend/tests/test_generate_quiz.py index 804e52c..da1a62d 100644 --- a/backend/tests/test_generate_quiz.py +++ b/backend/tests/test_generate_quiz.py @@ -43,14 +43,16 @@ def test_check_model_is_supported(self): def test_environment_variable_not_set(self, monkeypatch): """ - Test that initializing QuizGenerator without an API key (i.e. if the environment variable - is not set) raises a ValueError. - - We remove the environment variable and expect the constructor to raise an error. + Test that initializing QuizGenerator without any API keys raises a ValueError. """ + # Remove all API keys monkeypatch.delenv("OPENAI_API_KEY", raising=False) + monkeypatch.delenv("GEMINI_API_KEY", raising=False) + monkeypatch.delenv("DEEPSEEK_API_KEY", raising=False) + monkeypatch.delenv("AZURE_AI_API_KEY", raising=False) + with pytest.raises( - ValueError, match="Environment variable OPENAI_API_KEY is not set" + ValueError, match="No API keys found" ): QuizGenerator() @@ -70,7 +72,7 @@ def test_create_role(self, quiz_generator): assert str(n_questions) in role assert quiz_generator.EXAMPLE_RESPONSE in role - @patch("backend.generate_quiz.completion") + @patch("backend.generate_quiz.litellm.completion") def test_generate_quiz(self, mock_completion, quiz_generator): """Test generate_quiz to ensure it streams responses properly.""" mock_stream = iter(['{"question": "What is 2+2?", "answer": "4"}\n']) diff --git a/backend/uv.lock b/backend/uv.lock index 6f36709..06f2256 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -560,6 +560,7 @@ dependencies = [ { name = "fastapi" }, { name = "litellm" }, { name = "openai" }, + { name = "python-dotenv" }, { name = "uvicorn" }, ] @@ -584,6 +585,7 @@ requires-dist = [ { name = "openai" }, { name = "pytest", marker = "extra == 'dev'" }, { name = "pytest-mock", marker = "extra == 'dev'" }, + { name = "python-dotenv" }, { name = "ruff", marker = "extra == 'dev'" }, { name = "uvicorn" }, ] From a23e32cbd979cf59c7a4ac13d3ead9e29dad87c9 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sun, 9 Nov 2025 10:53:36 +0000 Subject: [PATCH 06/11] More advanced pytesting --- .vscode/settings.json | 6 +++-- backend/generate_quiz.py | 17 +++++++------ backend/pyproject.toml | 1 - backend/tests/test_generate_quiz.py | 37 ++++++++++++++++------------- 4 files changed, 33 insertions(+), 28 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 6515c96..52638e4 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -7,8 +7,10 @@ "azureFunctions.projectRuntime": "~4", "debug.internalConsoleOptions": "neverOpen", "python.testing.pytestArgs": [ - "backend" + "backend", + "-v" ], "python.testing.unittestEnabled": false, - "python.testing.pytestEnabled": true + "python.testing.pytestEnabled": true, + "python-envs.pythonProjects": [] } \ No newline at end of file diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index 7153b50..a050a2d 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -27,6 +27,13 @@ class QuizGenerator: "gpt-4-turbo", "o1-mini", "o3-mini", + "azure_ai/gpt-35-turbo", # Azure AI GPT-3.5-turbo + "azure_ai/gpt-4-turbo", # Azure AI GPT-4-turbo + "azure_ai/gpt-4o", # Azure AI GPT-4o + "azure_ai/gpt-4o-mini", # Azure AI GPT-4o-mini + "azure_ai/o1-mini", # Azure AI O1-mini + "azure_ai/o1-preview", # Azure AI O1-preview + "azure_ai/o3-mini", # Azure AI O3-mini "gemini/gemini-2.0-flash", "gemini/gemini-1.5-pro-latest", "azure_ai/DeepSeek-R1", @@ -212,15 +219,7 @@ def print_quiz(generator: Generator[str, None, None]): # For detailed output during testing, set the logger level to DEBUG. logger.setLevel(logging.DEBUG) - suppported_models = [ - "gpt-3.5-turbo", - "gpt-4-turbo", - "o1-mini", - "o3-mini", - "gemini/gemini-pro", - "gemini/gemini-1.5-pro-latest", - "azure_ai/DeepSeek-R1", - ] + print(f"Supported models: {QuizGenerator.SUPPORTED_MODELS}") quiz_generator = QuizGenerator(model="o1-mini") diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 935c519..68d3b17 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -35,7 +35,6 @@ select = ["E", "F", "W", "I"] markers = [ "integration: mark test as an integration test." ] -addopts = "-m 'not integration'" testpaths = ["tests"] [dependency-groups] diff --git a/backend/tests/test_generate_quiz.py b/backend/tests/test_generate_quiz.py index da1a62d..fa7f5a1 100644 --- a/backend/tests/test_generate_quiz.py +++ b/backend/tests/test_generate_quiz.py @@ -104,23 +104,28 @@ class TestQuizGeneratorIntegration: """ @pytest.mark.integration - def test_generate_quiz_real_api(self): - """ - Integration test that calls the real OpenAI API. - - This test will only run if the OPENAI_API_KEY is set in the environment. It verifies that the - generate_quiz method returns at least one SSE-formatted result. - """ - api_key = os.getenv("OPENAI_API_KEY") - if not api_key: - pytest.skip("Skipping integration test: OPENAI_API_KEY not set.") - quiz_gen = QuizGenerator() - topic = "Math" - difficulty = "Hard" - gen = quiz_gen.generate_quiz(topic, difficulty, 2) - # Collect the output from the generator. + @pytest.mark.parametrize("model", QuizGenerator.SUPPORTED_MODELS) + def test_model(self, model): + """Test each supported model individually.""" + # Check if required API keys are available + provider = model.split("/")[0] + + if provider == "openai" and not os.getenv("OPENAI_API_KEY"): + pytest.skip("OPENAI_API_KEY not set") + elif provider == "gemini" and not os.getenv("GEMINI_API_KEY"): + pytest.skip("GEMINI_API_KEY not set") + elif provider == "deepseek" and not os.getenv("DEEPSEEK_API_KEY"): + pytest.skip("DEEPSEEK_API_KEY not set") + elif provider == "azure_ai" and ( + not os.getenv("AZURE_AI_API_KEY") or not os.getenv("AZURE_AI_API_BASE") + ): + pytest.skip("Azure AI credentials not set") + + # Test the model + quiz_gen = QuizGenerator(model=model) + gen = quiz_gen.generate_quiz("Math", "Easy", 1) results = list(gen) - # Verify that at least one SSE event is produced. + assert len(results) > 0 for r in results: assert r.startswith("data: ") From 152333305bcfc3e7f22450b654a18e7090a70378 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sun, 9 Nov 2025 11:33:42 +0000 Subject: [PATCH 07/11] Remove broken models --- backend/generate_quiz.py | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index a050a2d..fdfe67e 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -25,17 +25,8 @@ class QuizGenerator: SUPPORTED_MODELS = [ "gpt-3.5-turbo", "gpt-4-turbo", - "o1-mini", "o3-mini", - "azure_ai/gpt-35-turbo", # Azure AI GPT-3.5-turbo - "azure_ai/gpt-4-turbo", # Azure AI GPT-4-turbo - "azure_ai/gpt-4o", # Azure AI GPT-4o - "azure_ai/gpt-4o-mini", # Azure AI GPT-4o-mini - "azure_ai/o1-mini", # Azure AI O1-mini - "azure_ai/o1-preview", # Azure AI O1-preview - "azure_ai/o3-mini", # Azure AI O3-mini "gemini/gemini-2.0-flash", - "gemini/gemini-1.5-pro-latest", "azure_ai/DeepSeek-R1", ] @@ -221,7 +212,8 @@ def print_quiz(generator: Generator[str, None, None]): print(f"Supported models: {QuizGenerator.SUPPORTED_MODELS}") - quiz_generator = QuizGenerator(model="o1-mini") + # quiz_generator = QuizGenerator(model="o1-mini") + quiz_generator = QuizGenerator(model="gpt-3.5-turbo") topic = "Crested Gecko" difficulty = "Medium" From 0c840b10c454a3c0660c1c218bed9858c7396cd0 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Sun, 9 Nov 2025 11:42:56 +0000 Subject: [PATCH 08/11] Make model list dynamic --- docker-compose.yml | 6 ++++++ frontend/index.html | 13 ++----------- frontend/scripts/app.js | 4 ++-- 3 files changed, 10 insertions(+), 13 deletions(-) diff --git a/docker-compose.yml b/docker-compose.yml index e6ec0a7..d2ca5d3 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -21,3 +21,9 @@ services: dockerfile: Dockerfile ports: - "8080:80" # Nginx + +# TESTING: +# 1. Set API keys: export OPENAI_API_KEY="your-key" (etc.) +# 2. Start: docker compose up --build (-d if you want to run in background) +# 3. Access: Frontend http://localhost:8080, Backend http://localhost:8000 +# 4. Test: curl http://localhost:8000/SupportedModels diff --git a/frontend/index.html b/frontend/index.html index daaca1e..4b6720c 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -75,17 +75,8 @@

GPTeasers ๐Ÿง ๐Ÿ’ก

Select the AI model to generate your quiz.

diff --git a/frontend/scripts/app.js b/frontend/scripts/app.js index a74b31c..29b6827 100644 --- a/frontend/scripts/app.js +++ b/frontend/scripts/app.js @@ -142,8 +142,8 @@ class App { const models = await this.controller.fetchSupportedModels(); if (models && models.length > 0) { - // Use gemini/gemini-2.0-flash as default since it's currently working - const defaultModel = "gemini/gemini-2.0-flash"; + // Use gpt-3.5-turbo as default + const defaultModel = "gpt-3.5-turbo"; this.ui.populateModelDropdown(models, defaultModel); console.log("Successfully populated model dropdown"); } else { From da9d731bb73097d7c61fe4a23379e322ecc0da72 Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Mon, 10 Nov 2025 19:30:47 +0000 Subject: [PATCH 09/11] ruff format and fix --- backend/generate_image.py | 3 ++- backend/generate_quiz.py | 2 +- backend/tests/conftest.py | 2 +- backend/tests/test_generate_image.py | 4 +++- backend/tests/test_generate_quiz.py | 18 +++++++++--------- backend/tests/test_response_stream_parser.py | 4 +++- 6 files changed, 19 insertions(+), 14 deletions(-) diff --git a/backend/generate_image.py b/backend/generate_image.py index 8bd8138..e26cb35 100644 --- a/backend/generate_image.py +++ b/backend/generate_image.py @@ -1,6 +1,7 @@ -import os import logging +import os from typing import Optional + from openai import OpenAI logger = logging.getLogger(__name__) diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index fdfe67e..ae5a1d7 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -81,7 +81,7 @@ def check_api_key_from_env(cls) -> None: os.getenv("DEEPSEEK_API_KEY"), os.getenv("AZURE_AI_API_KEY"), ] - + if not any(api_keys): raise ValueError( "No API keys found. Please set at least one of: " diff --git a/backend/tests/conftest.py b/backend/tests/conftest.py index 989a10e..8a1783e 100644 --- a/backend/tests/conftest.py +++ b/backend/tests/conftest.py @@ -1,5 +1,5 @@ -import sys import os +import sys # Add backend directory explicitly sys.path.insert(0, os.path.abspath(os.path.dirname(__file__))) # Add tests directory diff --git a/backend/tests/test_generate_image.py b/backend/tests/test_generate_image.py index af1ef08..445aa5f 100644 --- a/backend/tests/test_generate_image.py +++ b/backend/tests/test_generate_image.py @@ -1,6 +1,8 @@ import os -import pytest from types import SimpleNamespace + +import pytest + from backend.generate_image import ImageGenerator """ diff --git a/backend/tests/test_generate_quiz.py b/backend/tests/test_generate_quiz.py index fa7f5a1..4987a85 100644 --- a/backend/tests/test_generate_quiz.py +++ b/backend/tests/test_generate_quiz.py @@ -1,7 +1,9 @@ +import logging import os +from unittest.mock import MagicMock, patch + import pytest -import logging -from unittest.mock import patch, MagicMock + from backend.generate_quiz import QuizGenerator """ @@ -50,10 +52,8 @@ def test_environment_variable_not_set(self, monkeypatch): monkeypatch.delenv("GEMINI_API_KEY", raising=False) monkeypatch.delenv("DEEPSEEK_API_KEY", raising=False) monkeypatch.delenv("AZURE_AI_API_KEY", raising=False) - - with pytest.raises( - ValueError, match="No API keys found" - ): + + with pytest.raises(ValueError, match="No API keys found"): QuizGenerator() def test_create_role(self, quiz_generator): @@ -109,7 +109,7 @@ def test_model(self, model): """Test each supported model individually.""" # Check if required API keys are available provider = model.split("/")[0] - + if provider == "openai" and not os.getenv("OPENAI_API_KEY"): pytest.skip("OPENAI_API_KEY not set") elif provider == "gemini" and not os.getenv("GEMINI_API_KEY"): @@ -120,12 +120,12 @@ def test_model(self, model): not os.getenv("AZURE_AI_API_KEY") or not os.getenv("AZURE_AI_API_BASE") ): pytest.skip("Azure AI credentials not set") - + # Test the model quiz_gen = QuizGenerator(model=model) gen = quiz_gen.generate_quiz("Math", "Easy", 1) results = list(gen) - + assert len(results) > 0 for r in results: assert r.startswith("data: ") diff --git a/backend/tests/test_response_stream_parser.py b/backend/tests/test_response_stream_parser.py index 9acc4b2..f5fbf48 100644 --- a/backend/tests/test_response_stream_parser.py +++ b/backend/tests/test_response_stream_parser.py @@ -1,5 +1,7 @@ -import pytest from types import SimpleNamespace + +import pytest + from backend.response_stream_parser import ResponseStreamParser """ From e7905197ba8454f7c0182f92af8b1344ad40693f Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Mon, 10 Nov 2025 19:36:03 +0000 Subject: [PATCH 10/11] More ruff stuff --- backend/fastapi_generate_quiz.py | 23 ++++--------- backend/generate_image.py | 21 +++--------- backend/generate_quiz.py | 8 ++--- backend/pyproject.toml | 2 +- backend/tests/conftest.py | 4 +-- backend/tests/test_generate_image.py | 24 ++++---------- backend/tests/test_generate_quiz.py | 16 +++------ backend/tests/test_response_stream_parser.py | 34 +++++--------------- 8 files changed, 33 insertions(+), 99 deletions(-) diff --git a/backend/fastapi_generate_quiz.py b/backend/fastapi_generate_quiz.py index 09a5feb..253ae80 100644 --- a/backend/fastapi_generate_quiz.py +++ b/backend/fastapi_generate_quiz.py @@ -75,15 +75,9 @@ @app.get("/GenerateQuiz") async def generate_quiz_endpoint( - topic: str = Query( - ..., description="The subject for the quiz (e.g., 'UK History')" - ), - difficulty: str = Query( - ..., description="The desired difficulty (e.g., 'easy', 'medium', 'hard')" - ), - n_questions: int = Query( - 10, description="Number of questions to generate (defaults to 10)" - ), + topic: str = Query(..., description="The subject for the quiz (e.g., 'UK History')"), + difficulty: str = Query(..., description="The desired difficulty (e.g., 'easy', 'medium', 'hard')"), + n_questions: int = Query(10, description="Number of questions to generate (defaults to 10)"), model: Optional[str] = Query( None, description="The model to use. If not provided, the default from QuizGenerator is used", @@ -101,14 +95,9 @@ async def generate_quiz_endpoint( Returns: - StreamingResponse: Streams quiz questions in SSE format. """ - logger.info( - f"Quiz request: topic={topic}, difficulty={difficulty}, " - f"n_questions={n_questions}, model={model}" - ) - - logging.info( - f"Generating quiz with: {topic=}, {difficulty=}, {n_questions=}, {model=}." - ) + logger.info(f"Quiz request: topic={topic}, difficulty={difficulty}, n_questions={n_questions}, model={model}") + + logging.info(f"Generating quiz with: {topic=}, {difficulty=}, {n_questions=}, {model=}.") # Create a QuizGenerator instance. # TODO: rename to quiz creator ? diff --git a/backend/generate_image.py b/backend/generate_image.py index e26cb35..b905c6b 100644 --- a/backend/generate_image.py +++ b/backend/generate_image.py @@ -5,9 +5,7 @@ from openai import OpenAI logger = logging.getLogger(__name__) -logging.basicConfig( - level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" -) +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") class ImageGenerator: @@ -23,10 +21,7 @@ def get_api_key_from_env(cls) -> str: """ api_key = os.getenv("OPENAI_API_KEY") if not api_key: - raise ValueError( - "Environment variable OPENAI_API_KEY is not set. " - "Please ensure it's set and try again." - ) + raise ValueError("Environment variable OPENAI_API_KEY is not set. Please ensure it's set and try again.") return api_key def __init__(self, api_key: Optional[str] = None): @@ -43,9 +38,7 @@ def __init__(self, api_key: Optional[str] = None): self.client = OpenAI(api_key=api_key) - def generate_image( - self, prompt: str, n: int = 1, size: str = "256x256" - ) -> Optional[str]: + def generate_image(self, prompt: str, n: int = 1, size: str = "256x256") -> Optional[str]: """Generates an image based on the provided prompt. Args: @@ -84,10 +77,6 @@ def _get_image_url(self, prompt: str, n: int, size: str) -> Optional[str]: if __name__ == "__main__": # Example usage: - image_generator = ( - ImageGenerator() - ) # Uses environment variable if no API key is provided - prompt_text = ( - "Crested Gecko showcasing its distinct crests and colouration. Pixel Art" - ) + image_generator = ImageGenerator() # Uses environment variable if no API key is provided + prompt_text = "Crested Gecko showcasing its distinct crests and colouration. Pixel Art" image_url = image_generator.generate_image(prompt_text) diff --git a/backend/generate_quiz.py b/backend/generate_quiz.py index ae5a1d7..610f267 100644 --- a/backend/generate_quiz.py +++ b/backend/generate_quiz.py @@ -100,9 +100,7 @@ def check_model_is_supported(model: str) -> str: str: A supported model name. """ if model not in QuizGenerator.SUPPORTED_MODELS: - logger.warning( - f"Model '{model}' is not supported. Defaulting to 'gpt-4-turbo'." - ) + logger.warning(f"Model '{model}' is not supported. Defaulting to 'gpt-4-turbo'.") return "gpt-4-turbo" return model @@ -129,9 +127,7 @@ def __init__( # Use the separate parser class to handle the stream. self.parser = ResponseStreamParser() - def generate_quiz( - self, topic: str, difficulty: str, n_questions: int = 10 - ) -> Generator[str, None, None]: + def generate_quiz(self, topic: str, difficulty: str, n_questions: int = 10) -> Generator[str, None, None]: """ Generate a quiz based on the provided topic and difficulty using litellm. diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 68d3b17..50c0735 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -25,7 +25,7 @@ dev = [ dev = "uvicorn fastapi_generate_quiz:app --reload --host 0.0.0.0 --port 8000" [tool.ruff] -line-length = 88 +line-length = 120 target-version = "py310" [tool.ruff.lint] diff --git a/backend/tests/conftest.py b/backend/tests/conftest.py index 8a1783e..da248a1 100644 --- a/backend/tests/conftest.py +++ b/backend/tests/conftest.py @@ -3,6 +3,4 @@ # Add backend directory explicitly sys.path.insert(0, os.path.abspath(os.path.dirname(__file__))) # Add tests directory -sys.path.insert( - 0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")) -) # Add backend directory +sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) # Add backend directory diff --git a/backend/tests/test_generate_image.py b/backend/tests/test_generate_image.py index 445aa5f..60c735f 100644 --- a/backend/tests/test_generate_image.py +++ b/backend/tests/test_generate_image.py @@ -31,14 +31,10 @@ def test_generate_image_success(self, mocker, image_generator): """Test generate_image with a successful API response.""" # Create a mock response simulating the structure returned by OpenAI. mock_response = mocker.Mock() - mock_response.data = [ - SimpleNamespace(url="https://example.com/generated_image.png") - ] + mock_response.data = [SimpleNamespace(url="https://example.com/generated_image.png")] # Patch the generate method of the images client. - mocker.patch.object( - image_generator.client.images, "generate", return_value=mock_response - ) + mocker.patch.object(image_generator.client.images, "generate", return_value=mock_response) url = image_generator.generate_image("A test prompt") assert url == "https://example.com/generated_image.png" @@ -46,17 +42,11 @@ def test_generate_image_success(self, mocker, image_generator): def test_generate_image_custom_size(self, mocker, image_generator): """Test generate_image with a custom image size.""" mock_response = mocker.Mock() - mock_response.data = [ - SimpleNamespace(url="https://example.com/custom_size_image.png") - ] + mock_response.data = [SimpleNamespace(url="https://example.com/custom_size_image.png")] - mocker.patch.object( - image_generator.client.images, "generate", return_value=mock_response - ) + mocker.patch.object(image_generator.client.images, "generate", return_value=mock_response) - url = image_generator.generate_image( - "A dragon flying over mountains", size="512x512" - ) + url = image_generator.generate_image("A dragon flying over mountains", size="512x512") assert url == "https://example.com/custom_size_image.png" def test_generate_image_api_failure(self, mocker, image_generator): @@ -85,9 +75,7 @@ def test_openai_api_key_not_set(self, mocker): # Clear environment variables to simulate missing API key. mocker.patch.dict(os.environ, {}, clear=True) - with pytest.raises( - ValueError, match="Environment variable OPENAI_API_KEY is not set" - ): + with pytest.raises(ValueError, match="Environment variable OPENAI_API_KEY is not set"): ImageGenerator() def test_logging_when_api_fails(self, mocker, image_generator): diff --git a/backend/tests/test_generate_quiz.py b/backend/tests/test_generate_quiz.py index 4987a85..c6f55e6 100644 --- a/backend/tests/test_generate_quiz.py +++ b/backend/tests/test_generate_quiz.py @@ -36,12 +36,8 @@ class TestQuizGenerator: def test_check_model_is_supported(self): """Test that unsupported models default to 'gpt-4-turbo'.""" - assert ( - QuizGenerator.check_model_is_supported("unsupported-model") == "gpt-4-turbo" - ) - assert ( - QuizGenerator.check_model_is_supported("gpt-3.5-turbo") == "gpt-3.5-turbo" - ) + assert QuizGenerator.check_model_is_supported("unsupported-model") == "gpt-4-turbo" + assert QuizGenerator.check_model_is_supported("gpt-3.5-turbo") == "gpt-3.5-turbo" def test_environment_variable_not_set(self, monkeypatch): """ @@ -79,9 +75,7 @@ def test_generate_quiz(self, mock_completion, quiz_generator): mock_completion.return_value = mock_stream parser_mock = MagicMock() - parser_mock.parse_stream.return_value = iter( - ['data: {"question": "What is 2+2?", "answer": "4"}\n\n'] - ) + parser_mock.parse_stream.return_value = iter(['data: {"question": "What is 2+2?", "answer": "4"}\n\n']) with patch.object(quiz_generator, "parser", parser_mock): generator = quiz_generator.generate_quiz("Math", "Easy", n_questions=1) @@ -116,9 +110,7 @@ def test_model(self, model): pytest.skip("GEMINI_API_KEY not set") elif provider == "deepseek" and not os.getenv("DEEPSEEK_API_KEY"): pytest.skip("DEEPSEEK_API_KEY not set") - elif provider == "azure_ai" and ( - not os.getenv("AZURE_AI_API_KEY") or not os.getenv("AZURE_AI_API_BASE") - ): + elif provider == "azure_ai" and (not os.getenv("AZURE_AI_API_KEY") or not os.getenv("AZURE_AI_API_BASE")): pytest.skip("Azure AI credentials not set") # Test the model diff --git a/backend/tests/test_response_stream_parser.py b/backend/tests/test_response_stream_parser.py index f5fbf48..088819d 100644 --- a/backend/tests/test_response_stream_parser.py +++ b/backend/tests/test_response_stream_parser.py @@ -30,9 +30,7 @@ def test_extract_chunk_content_valid(self, response_parser): """ Test extracting content from a valid chunk. """ - chunk = SimpleNamespace( - choices=[SimpleNamespace(delta=SimpleNamespace(content="test content"))] - ) + chunk = SimpleNamespace(choices=[SimpleNamespace(delta=SimpleNamespace(content="test content"))]) content = response_parser._extract_chunk_content(chunk) assert content == "test content" @@ -48,9 +46,7 @@ def test_split_buffer(self, response_parser): """ Test splitting the buffer into complete lines and a remainder. """ - response_parser.buffer = ( - '{"question": "Who was ..."}\n{"question": "What is ..."}\nincomplete' - ) + response_parser.buffer = '{"question": "Who was ..."}\n{"question": "What is ..."}\nincomplete' expected_complete_lines = [ '{"question": "Who was ..."}', @@ -63,13 +59,11 @@ def test_split_buffer(self, response_parser): print("Complete Lines:", complete_lines) print("Remainder:", remainder) - assert ( - complete_lines == expected_complete_lines - ), f"Expected complete lines '{expected_complete_lines}', but got {complete_lines}" + assert complete_lines == expected_complete_lines, ( + f"Expected complete lines '{expected_complete_lines}', but got {complete_lines}" + ) - assert ( - remainder == expected_remainder - ), f"Expected remainder '{expected_remainder}', but got {remainder}" + assert remainder == expected_remainder, f"Expected remainder '{expected_remainder}', but got {remainder}" def test_process_line_valid_json(self, response_parser): """ @@ -93,20 +87,8 @@ def test_parse_stream(self, response_parser): """ fake_stream = iter( [ - SimpleNamespace( - choices=[ - SimpleNamespace( - delta=SimpleNamespace(content='{"question": "First"}\n') - ) - ] - ), - SimpleNamespace( - choices=[ - SimpleNamespace( - delta=SimpleNamespace(content='{"question": "Second"}\n') - ) - ] - ), + SimpleNamespace(choices=[SimpleNamespace(delta=SimpleNamespace(content='{"question": "First"}\n'))]), + SimpleNamespace(choices=[SimpleNamespace(delta=SimpleNamespace(content='{"question": "Second"}\n'))]), ] ) results = list(response_parser.parse_stream(fake_stream)) From 8f14186c10666adc984e1090b6adacc002acde9c Mon Sep 17 00:00:00 2001 From: DJSaunders1997 Date: Mon, 10 Nov 2025 19:47:28 +0000 Subject: [PATCH 11/11] dont run integration tests --- .github/workflows/ci_python.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci_python.yml b/.github/workflows/ci_python.yml index e2a8686..ad22b5c 100644 --- a/.github/workflows/ci_python.yml +++ b/.github/workflows/ci_python.yml @@ -40,4 +40,4 @@ jobs: run: | source $HOME/.cargo/env cd backend - uv run pytest -q tests/ -v + uv run pytest -q tests/ -v -m "not integration"