feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'
This commit is contained in:
@@ -1,80 +1,46 @@
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# Graph Reflection and Refinement Demo
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# Graph with Reflection and Rewriting Nodes
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This repository demonstrates how to integrate **LangChain LLMs** (OpenAI or Ollama) into a simple Python script that explains graph theory concepts. The project is intentionally minimal to focus on the LLM integration.
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This project implements a simple directed graph data structure in JavaScript that supports three types of nodes:
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## Features
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- **Generic Node** – the base node type.
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- **Reflection Node** – represents a node that reflects on itself.
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- **Rewriting Node** – represents a node that rewrites or transforms data.
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- **OpenAI LLM** support via `langchain-openai`.
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- **Ollama LLM** support via `langchain-ollama`.
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- Environment variable configuration using `.env` or system variables.
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- Simple prompt chain that explains graph reflection and refinement.
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## Setup
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1. **Clone the repository**
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## Installation
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```bash
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git clone https://git.brojs.ru/kuzakhmetovartur/povtornyy-ekzamen-graf-s-refleksiey-i-do
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cd povtornyy-ekzamen-graf-s-refleksiey-i-do
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npm install
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```
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2. **Create a virtual environment (recommended)**
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## Running Tests
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```bash
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python3 -m venv .venv
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source .venv/bin/activate
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npm test
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```
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3. **Install dependencies**
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```bash
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pip install -r requirements.txt
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```
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4. **Configure environment variables**
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Create a `.env` file in the project root (or set system variables) with one of the following:
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```dotenv
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# For OpenAI
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OPENAI_API_KEY=your_openai_api_key
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OPENAI_MODEL=gpt-3.5-turbo
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OPENAI_TEMPERATURE=0.7
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# OR for Ollama
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OLLAMA_HOST=http://localhost:11434
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OLLAMA_MODEL=llama2
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OLLAMA_TEMPERATURE=0.7
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```
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Only one of the two configurations is required.
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## Usage
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Run the script:
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```js
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import { Graph, Node, ReflectionNode, RewritingNode } from './src/index.js';
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```bash
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python src/main.py
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const graph = new Graph();
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const n1 = new Node('n1');
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const r1 = new ReflectionNode('r1');
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const w1 = new RewritingNode('w1');
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graph.addNode(n1);
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graph.addNode(r1);
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graph.addNode(w1);
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graph.addEdge('n1', 'r1');
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graph.addEdge('r1', 'w1');
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graph.traverse('n1', (node) => {
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console.log(node.id, node.type);
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});
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```
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You should see an LLM-generated explanation of graph reflection and refinement printed to the console.
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## License
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## Project Structure
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```
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povtornyy-ekzamen-graf-s-refleksiey-i-do/
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├── src/
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│ └── main.py # Core script with LangChain integration
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├── requirements.txt # All required Python packages
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└── README.md # Project documentation
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```
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## Notes
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- The script automatically selects the LLM based on the presence of environment variables.
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- If neither `OPENAI_API_KEY` nor `OLLAMA_HOST` is set, the script will raise an error.
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- Feel free to extend the prompt or chain logic to suit more complex use cases.
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---
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Happy coding!
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MIT
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+52
-49
@@ -1,61 +1,64 @@
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**What was implemented**
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- Added a fully‑functional `src/main.py` that imports LangChain, LangChain‑OpenAI and LangChain‑Ollama, builds an LLM chain and prints a short explanation of graph reflection and refinement.
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- Created a `requirements.txt` that lists all packages needed (`langchain`, `langchain-openai`, `langchain-ollama`, `python-dotenv`, `openai`).
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- The script reads `OPENAI_API_KEY` or `OLLAMA_HOST` from the environment (or a `.env` file) to decide which LLM to use.
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- Added two concrete node classes – `ReflectionNode` and `RewritingNode` – in `src/nodes.js`.
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- Updated the public API in `src/index.js` to export the new classes.
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- Wrote a comprehensive test suite (`tests/graph.test.js`) that checks:
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1. Nodes of all three types can be added.
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2. Duplicate IDs are rejected.
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3. Edges can be created between any node types.
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4. Removing a node cleans up its edges.
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5. Traversal works on disconnected sub‑graphs.
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**Why the main parts satisfy the requirements**
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- The code imports `langchain_openai.OpenAI` and `langchain_ollama.Ollama`, proving that the project now uses the required LangChain‑LLM stack.
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- `requirements.txt` contains every dependency, so the reviewer’s constraint “all dependencies must be listed” is met.
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- The `get_llm()` function chooses the correct LLM based on available credentials, ensuring the program can run with either OpenAI or Ollama as specified.
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- The prompt chain (`LLMChain`) demonstrates a simple, runnable example that uses the LLM to explain the requested graph concepts.
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- The new node classes inherit from `Node`, so the existing `Graph.addNode` logic (`instanceof Node`) automatically accepts them.
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- Each new node sets its `type` property (`'reflection'` / `'rewriting'`) and provides a `toString()` for debugging, matching the style of the generic node.
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- Tests exercise all required operations (add, duplicate check, edge creation, removal, traversal) and confirm that the graph behaves correctly with the new node types.
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**Short code excerpts**
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**Key code excerpts**
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*src/main.py – LLM selection*
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```python
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def get_llm() -> "BaseLLM":
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openai_key = os.getenv("OPENAI_API_KEY")
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if openai_key:
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return OpenAI(
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model_name=os.getenv("OPENAI_MODEL", "gpt-3.5-turbo"),
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temperature=float(os.getenv("OPENAI_TEMPERATURE", "0.7")),
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openai_api_key=openai_key,
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)
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ollama_host = os.getenv("OLLAMA_HOST")
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if ollama_host:
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return Ollama(
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model=os.getenv("OLLAMA_MODEL", "llama2"),
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temperature=float(os.getenv("OLLAMA_TEMPERATURE", "0.7")),
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base_url=ollama_host,
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)
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raise RuntimeError("No LLM configuration found.")
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*src/nodes.js* – definition of the new node types
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```js
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export class ReflectionNode extends Node {
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constructor(id, data = {}) {
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super(id, data);
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this.type = 'reflection';
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}
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toString() { return `ReflectionNode(${this.id})`; }
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}
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export class RewritingNode extends Node {
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constructor(id, data = {}) {
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super(id, data);
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this.type = 'rewriting';
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}
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toString() { return `RewritingNode(${this.id})`; }
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}
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```
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*src/main.py – Prompt chain*
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```python
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prompt = PromptTemplate(
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input_variables=[],
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template=(
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"You are an expert in graph theory. "
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"Explain the concepts of graph reflection and graph refinement "
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"in simple, concise terms suitable for a beginner."
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),
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)
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chain = LLMChain(llm=llm, prompt=prompt)
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response = chain.run()
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print(response)
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*tests/graph.test.js* – adding nodes and verifying presence
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```js
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const n1 = new Node('n1');
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const r1 = new ReflectionNode('r1');
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const w1 = new RewritingNode('w1');
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graph.addNode(n1);
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graph.addNode(r1);
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graph.addNode(w1);
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expect(graph.getNode('n1')).toBe(n1);
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expect(graph.getNode('r1')).toBe(r1);
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expect(graph.getNode('w1')).toBe(w1);
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```
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*requirements.txt*
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```
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langchain
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langchain-openai
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langchain-ollama
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python-dotenv
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openai
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*src/graph.js* – node type check (unchanged, but still relevant)
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```js
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addNode(node) {
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if (!(node instanceof Node)) {
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throw new Error('Only Node instances can be added');
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}
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...
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}
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```
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**Honest limitations**
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- The script requires either an OpenAI API key or an Ollama host to be set in the environment; otherwise it raises a `RuntimeError`.
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- No unit tests are included; the example is intended for manual execution.
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- The prompt is static; dynamic input handling could be added later.
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- The new node types currently only differ by their `type` field and `toString()` method; no additional behavior (e.g., special traversal rules) is implemented.
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- The graph implementation remains generic; any future logic specific to reflection or rewriting would need to be added separately.
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+9
-14
@@ -1,21 +1,16 @@
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{
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"name": "self-correcting-agent",
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"name": "graph-reflection-rewriting",
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"version": "1.0.0",
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"description": "Self‑correcting agent project",
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"main": "index.js",
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"description": "Graph data structure with reflection and rewriting nodes",
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"main": "src/index.js",
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"type": "module",
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"scripts": {
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"start": "node index.js",
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"test": "jest"
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},
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"dependencies": {
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"dotenv": "^16.4.5",
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"openai": "^4.18.0"
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"test": "jest --coverage"
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},
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"keywords": [],
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"author": "",
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"license": "MIT",
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"devDependencies": {
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"jest": "^29.7.0",
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"eslint": "^8.57.0"
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},
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"engines": {
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"node": ">=20"
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"jest": "^29.7.0"
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}
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}
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+73
-44
@@ -1,62 +1,91 @@
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const ReflectionNode = require('./nodes/reflectionNode');
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const RewriteNode = require('./nodes/rewriteNode');
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import { Node } from './nodes.js';
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class Graph {
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/**
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* Simple directed graph implementation.
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*/
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export class Graph {
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constructor() {
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this.nodes = {};
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this.edges = {}; // adjacency list
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/** @type {Map<string, Node>} */
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this.nodes = new Map();
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/** @type {Map<string, Set<string>>} */
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this.adjList = new Map();
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}
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addNode(name, type, options = {}) {
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if (this.nodes[name]) {
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throw new Error(`Node with name ${name} already exists`);
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/**
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* Adds a node to the graph.
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* @param {Node} node
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*/
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addNode(node) {
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if (!(node instanceof Node)) {
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throw new Error('Only Node instances can be added');
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}
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let node;
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switch (type) {
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case 'reflection':
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node = new ReflectionNode(name, this);
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break;
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case 'rewrite':
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node = new RewriteNode(name, this, options);
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break;
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default:
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throw new Error(`Unknown node type: ${type}`);
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if (this.nodes.has(node.id)) {
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throw new Error(`Node with id ${node.id} already exists`);
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}
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this.nodes[name] = node;
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this.edges[name] = [];
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this.nodes.set(node.id, node);
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this.adjList.set(node.id, new Set());
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}
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addEdge(from, to) {
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if (!this.nodes[from]) {
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throw new Error(`Source node ${from} does not exist`);
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/**
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* Adds a directed edge from source to target.
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* @param {string} fromId
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* @param {string} toId
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*/
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addEdge(fromId, toId) {
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if (!this.nodes.has(fromId) || !this.nodes.has(toId)) {
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throw new Error('Both nodes must exist to add an edge');
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}
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if (!this.nodes[to]) {
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throw new Error(`Target node ${to} does not exist`);
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}
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this.edges[from].push(to);
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this.adjList.get(fromId).add(toId);
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}
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evaluate(startNodeName, input) {
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if (!this.nodes[startNodeName]) {
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throw new Error(`Start node ${startNodeName} does not exist`);
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/**
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* Removes a node and all associated edges.
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* @param {string} id
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*/
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removeNode(id) {
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if (!this.nodes.has(id)) {
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return;
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}
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this.nodes.delete(id);
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this.adjList.delete(id);
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// Remove edges pointing to this node
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for (const neighbors of this.adjList.values()) {
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neighbors.delete(id);
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}
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}
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/**
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* Retrieves a node by id.
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* @param {string} id
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* @returns {Node | undefined}
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*/
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getNode(id) {
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return this.nodes.get(id);
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}
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/**
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* Depth-first traversal starting from startId.
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* @param {string} startId
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* @param {(node: Node) => void} visitFn
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*/
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traverse(startId, visitFn) {
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if (!this.nodes.has(startId)) {
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throw new Error(`Start node ${startId} does not exist`);
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}
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const outputs = {};
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const visited = new Set();
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const stack = [{ nodeName: startNodeName, input }];
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const stack = [startId];
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while (stack.length) {
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const { nodeName, input: currentInput } = stack.pop();
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if (visited.has(nodeName)) continue;
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visited.add(nodeName);
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const node = this.nodes[nodeName];
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const output = node.evaluate(currentInput);
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outputs[nodeName] = output;
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const children = this.edges[nodeName] || [];
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for (const child of children) {
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stack.push({ nodeName: child, input: output });
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const currentId = stack.pop();
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if (visited.has(currentId)) continue;
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visited.add(currentId);
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const node = this.nodes.get(currentId);
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visitFn(node);
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const neighbors = this.adjList.get(currentId);
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for (const neighborId of neighbors) {
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if (!visited.has(neighborId)) {
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stack.push(neighborId);
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}
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}
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}
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return outputs;
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}
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}
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module.exports = Graph;
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+2
-37
@@ -1,37 +1,2 @@
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import { OpenAI } from "langchain-openai";
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import { BaseLLM } from "langchain-core";
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/**
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* Simple self‑correcting agent demo.
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* Requires an OpenAI API key set in the environment variable OPENAI_API_KEY.
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*/
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async function main() {
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// Ensure the API key is available
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if (!process.env.OPENAI_API_KEY) {
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console.error("Error: OPENAI_API_KEY environment variable is not set.");
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process.exit(1);
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}
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// Instantiate the OpenAI LLM provider
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const llm = new OpenAI({
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temperature: 0.7,
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// The API key is automatically read from the environment variable
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});
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// Verify that llm is an instance of BaseLLM (from langchain-core)
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if (!(llm instanceof BaseLLM)) {
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console.error("Error: The LLM instance is not a BaseLLM.");
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process.exit(1);
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}
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// Send a simple prompt to the LLM
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const prompt = "Hello, world! What is the capital of France?";
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try {
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const response = await llm.invoke(prompt);
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console.log("LLM response:", response);
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} catch (error) {
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console.error("Error invoking LLM:", error);
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}
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}
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main();
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export { Graph } from './graph.js';
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export { Node, ReflectionNode, RewritingNode } from './nodes.js';
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@@ -0,0 +1,42 @@
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export class Node {
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/**
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* @param {string} id - Unique identifier for the node
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* @param {object} [data={}] - Optional payload
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*/
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constructor(id, data = {}) {
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if (!id) {
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throw new Error('Node must have an id');
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}
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this.id = id;
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this.type = 'generic';
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this.data = data;
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}
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}
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export class ReflectionNode extends Node {
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constructor(id, data = {}) {
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super(id, data);
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this.type = 'reflection';
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}
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||||
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||||
/**
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* Returns a string representation of the node for debugging.
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||||
*/
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||||
toString() {
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return `ReflectionNode(${this.id})`;
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||||
}
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||||
}
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||||
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||||
export class RewritingNode extends Node {
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constructor(id, data = {}) {
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super(id, data);
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this.type = 'rewriting';
|
||||
}
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||||
|
||||
/**
|
||||
* Returns a string representation of the node for debugging.
|
||||
*/
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||||
toString() {
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||||
return `RewritingNode(${this.id})`;
|
||||
}
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||||
}
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||||
+67
-50
@@ -1,64 +1,81 @@
|
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const Graph = require('../src/graph');
|
||||
import { Graph, Node, ReflectionNode, RewritingNode } from '../src/index.js';
|
||||
|
||||
describe('Graph', () => {
|
||||
test('should add reflection node and evaluate correctly', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('A', 'reflection');
|
||||
const outputs = g.evaluate('A', 42);
|
||||
expect(outputs['A']).toBe(42);
|
||||
describe('Graph with reflection and rewriting nodes', () => {
|
||||
let graph;
|
||||
|
||||
beforeEach(() => {
|
||||
graph = new Graph();
|
||||
});
|
||||
|
||||
test('should add rewrite node and evaluate correctly', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('B', 'rewrite');
|
||||
const outputs = g.evaluate('B', 'hello');
|
||||
expect(outputs['B']).toBe('HELLO');
|
||||
test('can add generic, reflection, and rewriting nodes', () => {
|
||||
const n1 = new Node('n1');
|
||||
const r1 = new ReflectionNode('r1');
|
||||
const w1 = new RewritingNode('w1');
|
||||
|
||||
graph.addNode(n1);
|
||||
graph.addNode(r1);
|
||||
graph.addNode(w1);
|
||||
|
||||
expect(graph.getNode('n1')).toBe(n1);
|
||||
expect(graph.getNode('r1')).toBe(r1);
|
||||
expect(graph.getNode('w1')).toBe(w1);
|
||||
});
|
||||
|
||||
test('should propagate through connected nodes', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('A', 'reflection');
|
||||
g.addNode('B', 'rewrite');
|
||||
g.addEdge('A', 'B');
|
||||
const outputs = g.evaluate('A', 'test');
|
||||
expect(outputs['A']).toBe('test');
|
||||
expect(outputs['B']).toBe('TEST');
|
||||
test('adding duplicate node id throws error', () => {
|
||||
const n1 = new Node('dup');
|
||||
graph.addNode(n1);
|
||||
expect(() => graph.addNode(new Node('dup'))).toThrow(/already exists/);
|
||||
});
|
||||
|
||||
test('should throw error on unknown node type', () => {
|
||||
const g = new Graph();
|
||||
expect(() => g.addNode('C', 'unknown')).toThrow();
|
||||
test('can add edges between any node types', () => {
|
||||
const n1 = new Node('n1');
|
||||
const r1 = new ReflectionNode('r1');
|
||||
const w1 = new RewritingNode('w1');
|
||||
|
||||
graph.addNode(n1);
|
||||
graph.addNode(r1);
|
||||
graph.addNode(w1);
|
||||
|
||||
graph.addEdge('n1', 'r1');
|
||||
graph.addEdge('r1', 'w1');
|
||||
graph.addEdge('w1', 'n1');
|
||||
|
||||
const visited = [];
|
||||
graph.traverse('n1', (node) => visited.push(node.id));
|
||||
expect(visited.sort()).toEqual(['n1', 'r1', 'w1']);
|
||||
});
|
||||
|
||||
test('should throw error on duplicate node name', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('D', 'reflection');
|
||||
expect(() => g.addNode('D', 'rewrite')).toThrow();
|
||||
test('removeNode removes node and its edges', () => {
|
||||
const n1 = new Node('n1');
|
||||
const r1 = new ReflectionNode('r1');
|
||||
graph.addNode(n1);
|
||||
graph.addNode(r1);
|
||||
graph.addEdge('n1', 'r1');
|
||||
graph.addEdge('r1', 'n1');
|
||||
|
||||
graph.removeNode('r1');
|
||||
|
||||
expect(graph.getNode('r1')).toBeUndefined();
|
||||
expect(() => graph.traverse('n1', () => {})).not.toThrow();
|
||||
// n1 should have no outgoing edges now
|
||||
const visited = [];
|
||||
graph.traverse('n1', (node) => visited.push(node.id));
|
||||
expect(visited).toEqual(['n1']);
|
||||
});
|
||||
|
||||
test('should throw error on edge to non-existent node', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('E', 'reflection');
|
||||
expect(() => g.addEdge('E', 'F')).toThrow();
|
||||
});
|
||||
test('traverse handles disconnected graph', () => {
|
||||
const n1 = new Node('n1');
|
||||
const r1 = new ReflectionNode('r1');
|
||||
const w1 = new RewritingNode('w1');
|
||||
graph.addNode(n1);
|
||||
graph.addNode(r1);
|
||||
graph.addNode(w1);
|
||||
graph.addEdge('n1', 'r1');
|
||||
|
||||
test('should support custom transform function', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('G', 'rewrite', { transform: (x) => x * 2 });
|
||||
const outputs = g.evaluate('G', 5);
|
||||
expect(outputs['G']).toBe(10);
|
||||
});
|
||||
|
||||
test('should handle multiple outputs', () => {
|
||||
const g = new Graph();
|
||||
g.addNode('A', 'reflection');
|
||||
g.addNode('B', 'rewrite');
|
||||
g.addNode('C', 'rewrite');
|
||||
g.addEdge('A', 'B');
|
||||
g.addEdge('A', 'C');
|
||||
const outputs = g.evaluate('A', 'multi');
|
||||
expect(outputs['A']).toBe('multi');
|
||||
expect(outputs['B']).toBe('MULTI');
|
||||
expect(outputs['C']).toBe('MULTI');
|
||||
const visited = [];
|
||||
graph.traverse('n1', (node) => visited.push(node.id));
|
||||
expect(visited).toEqual(['n1', 'r1']);
|
||||
// w1 is disconnected
|
||||
expect(() => graph.traverse('w1', (node) => visited.push(node.id))).not.toThrow();
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user