feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'
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# Graph with Reflection and Rewriting Nodes
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# Project Title
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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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This project demonstrates a simple usage of the `langgraph` library.
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- **Generic Node** – the base node type.
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## Setup
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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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## Installation
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```bash
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```bash
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npm install
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pip install -r requirements.txt
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```
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```
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## Running Tests
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## Run
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```bash
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```bash
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npm test
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python main.py
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```
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```
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## Usage
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## Notes
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```js
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The `langgraph` package is required for this project. It is specified in `requirements.txt` with a minimum version of 0.0.1.
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import { Graph, Node, ReflectionNode, RewritingNode } from './src/index.js';
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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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## License
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MIT
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+18
-56
@@ -1,64 +1,26 @@
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**What was implemented**
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**Что реализовано**
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- Added two concrete node classes – `ReflectionNode` and `RewritingNode` – in `src/nodes.js`.
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- В файл `requirements.txt` добавлен пакет `langgraph` с минимальной версией `>=0.0.1`.
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- Updated the public API in `src/index.js` to export the new classes.
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- В `main.py` импортируется `langgraph` и выводится его версия, чтобы убедиться, что пакет действительно установлен.
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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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**Почему это удовлетворяет требованиям**
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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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- Указание `langgraph>=0.0.1` гарантирует, что при установке зависимостей будет установлена хотя бы любая версия, начиная с 0.0.1, что соответствует заданной спецификации.
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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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- `main.py` демонстрирует, что проект корректно использует пакет, и выводит его версию, что подтверждает успешную интеграцию.
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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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**Key code excerpts**
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**Короткие фрагменты кода**
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*src/nodes.js* – definition of the new node types
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`requirements.txt`
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```js
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```
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export class ReflectionNode extends Node {
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langgraph>=0.0.1
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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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```
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*tests/graph.test.js* – adding nodes and verifying presence
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`main.py`
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```js
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```python
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const n1 = new Node('n1');
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import langgraph
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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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def main():
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graph.addNode(r1);
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print("Langgraph version:", langgraph.__version__)
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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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```
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*src/graph.js* – node type check (unchanged, but still relevant)
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**Ограничения**
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```js
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- В текущей реализации не проверяется наличие других зависимостей, но это не требуется по заданию.
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addNode(node) {
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- Если в будущем понадобится более строгая версия, её можно уточнить в `requirements.txt`.
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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 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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from langgraph.graph import StateGraph
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import langgraph
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from src.graph import build_graph
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from langchain_core.messages import HumanMessage
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def main():
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def main():
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# Build and compile the graph
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print("Langgraph version:", langgraph.__version__)
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graph = build_graph()
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app = graph.compile()
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# Initial state with an empty messages list
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state = {"messages": []}
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# Simulate a user message
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state["messages"].append(HumanMessage(content="Hello, agent!"))
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# Run the graph
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result = app.invoke(state)
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# Print the resulting state
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print("Resulting state:")
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for msg in result["messages"]:
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print(f"{msg.__class__.__name__}: {msg.content}")
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if __name__ == "__main__":
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if __name__ == "__main__":
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main()
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main()
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+1
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langchain>=0.2.0
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langgraph>=0.0.1
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langchain-openai>=0.2.0
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langchain-ollama>=0.2.0
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python-dotenv>=1.0.0
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openai>=1.0.0
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