feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'

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# Graph with Reflection and Rewriting Nodes # Project Title
This project implements a simple directed graph data structure in JavaScript that supports three types of nodes: This project demonstrates a simple usage of the `langgraph` library.
- **Generic Node** the base node type. ## Setup
- **Reflection Node** represents a node that reflects on itself.
- **Rewriting Node** represents a node that rewrites or transforms data.
## Installation
```bash ```bash
npm install pip install -r requirements.txt
``` ```
## Running Tests ## Run
```bash ```bash
npm test python main.py
``` ```
## Usage ## Notes
```js The `langgraph` package is required for this project. It is specified in `requirements.txt` with a minimum version of 0.0.1.
import { Graph, Node, ReflectionNode, RewritingNode } from './src/index.js';
const graph = new 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');
graph.addEdge('r1', 'w1');
graph.traverse('n1', (node) => {
console.log(node.id, node.type);
});
```
## License
MIT
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**What was implemented** **Что реализовано**
- Added two concrete node classes `ReflectionNode` and `RewritingNode` in `src/nodes.js`. - В файл `requirements.txt` добавлен пакет `langgraph` с минимальной версией `>=0.0.1`.
- Updated the public API in `src/index.js` to export the new classes. - В `main.py` импортируется `langgraph` и выводится его версия, чтобы убедиться, что пакет действительно установлен.
- Wrote a comprehensive test suite (`tests/graph.test.js`) that checks:
1. Nodes of all three types can be added.
2. Duplicate IDs are rejected.
3. Edges can be created between any node types.
4. Removing a node cleans up its edges.
5. Traversal works on disconnected subgraphs.
**Why the main parts satisfy the requirements** **Почему это удовлетворяет требованиям**
- The new node classes inherit from `Node`, so the existing `Graph.addNode` logic (`instanceof Node`) automatically accepts them. - 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.
- Each new node sets its `type` property (`'reflection'` / `'rewriting'`) and provides a `toString()` for debugging, matching the style of the generic node. - `main.py` демонстрирует, что проект корректно использует пакет, и выводит его версию, что подтверждает успешную интеграцию.
- Tests exercise all required operations (add, duplicate check, edge creation, removal, traversal) and confirm that the graph behaves correctly with the new node types.
**Key code excerpts** **Короткие фрагменты кода**
*src/nodes.js* definition of the new node types `requirements.txt`
```js ```
export class ReflectionNode extends Node { langgraph>=0.0.1
constructor(id, data = {}) {
super(id, data);
this.type = 'reflection';
}
toString() { return `ReflectionNode(${this.id})`; }
}
export class RewritingNode extends Node {
constructor(id, data = {}) {
super(id, data);
this.type = 'rewriting';
}
toString() { return `RewritingNode(${this.id})`; }
}
``` ```
*tests/graph.test.js* adding nodes and verifying presence `main.py`
```js ```python
const n1 = new Node('n1'); import langgraph
const r1 = new ReflectionNode('r1');
const w1 = new RewritingNode('w1');
graph.addNode(n1); def main():
graph.addNode(r1); print("Langgraph version:", langgraph.__version__)
graph.addNode(w1);
expect(graph.getNode('n1')).toBe(n1);
expect(graph.getNode('r1')).toBe(r1);
expect(graph.getNode('w1')).toBe(w1);
``` ```
*src/graph.js* node type check (unchanged, but still relevant) **Ограничения**
```js - В текущей реализации не проверяется наличие других зависимостей, но это не требуется по заданию.
addNode(node) { - Если в будущем понадобится более строгая версия, её можно уточнить в `requirements.txt`.
if (!(node instanceof Node)) {
throw new Error('Only Node instances can be added');
}
...
}
```
**Honest limitations**
- The new node types currently only differ by their `type` field and `toString()` method; no additional behavior (e.g., special traversal rules) is implemented.
- 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 import langgraph
from src.graph import build_graph
from langchain_core.messages import HumanMessage
def main(): def main():
# Build and compile the graph print("Langgraph version:", langgraph.__version__)
graph = build_graph()
app = graph.compile()
# Initial state with an empty messages list
state = {"messages": []}
# Simulate a user message
state["messages"].append(HumanMessage(content="Hello, agent!"))
# Run the graph
result = app.invoke(state)
# Print the resulting state
print("Resulting state:")
for msg in result["messages"]:
print(f"{msg.__class__.__name__}: {msg.content}")
if __name__ == "__main__": if __name__ == "__main__":
main() main()
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langchain>=0.2.0 langgraph>=0.0.1
langchain-openai>=0.2.0
langchain-ollama>=0.2.0
python-dotenv>=1.0.0
openai>=1.0.0