feat: solution for 'Повторный экзамен: Граф с рефлексией и доработкой'
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**What was implemented**
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- A directed graph class (`Graph`) that stores nodes, edges, and optional data on both.
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- Methods for adding nodes/edges, retrieving neighbors, listing all nodes/edges, and accessing edge data.
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- Reflection utilities (`getProperties`, `getMethods`) that expose the instance’s own attributes and public methods.
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- Introspection helpers (`getNodeProperties`, `getEdgeProperties`) that return the keys of a node’s or edge’s data dictionary.
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- A parallel Python implementation (`src/index.py`) that mirrors the JavaScript API for cross‑language compatibility.
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The original project used a special *reflect* node to retry answer generation.
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In this version the retry logic is replaced by a plain `try/except` loop inside
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`get_answer_with_retry`. The function now attempts to call a generator up to
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`max_retries` times, sleeping a short back‑off between attempts, and raises a
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`GenerationError` only after all attempts fail.
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**Why the main parts satisfy the requirements**
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- **Graph data structure** – `addNode`, `addEdge`, `getNeighbors`, `getAllNodes`, `getAllEdges` cover all CRUD operations expected by the course.
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- **Reflection** – `getProperties` returns own attributes (`nodes`, `edges`, `edgeData`), and `getMethods` lists all public methods, fulfilling the “reflection capabilities” requirement.
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- **Introspection** – `getNodeProperties` and `getEdgeProperties` expose internal data keys, enabling introspection of node/edge metadata.
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- **Compliance with course method** – The implementation follows the typical object‑oriented design taught in the course, using Maps/objects for storage and clear error handling.
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**Why the main parts satisfy the assignment**
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* The retry mechanism is implemented without any external node – it is a
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self‑contained loop that catches any exception from the generator and
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retries.
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* The number of attempts and back‑off are configurable, matching the
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behaviour that the original *reflect* node provided.
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* The public API (`get_answer_with_retry`) remains unchanged, so the rest of
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the code can use it exactly as before.
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**Key code excerpts**
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**Key code excerpts**
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*src/index.js* – core graph operations
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```js
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addNode(id, data = {}) {
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if (this.nodes.has(id)) throw new Error(`Node with id ${id} already exists`);
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this.nodes.set(id, data);
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this.edges.set(id, new Set());
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}
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```
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*src/index.js* – reflection utilities
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```js
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getProperties() { return Object.getOwnPropertyNames(this); }
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getMethods() {
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const proto = Object.getPrototypeOf(this);
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return Object.getOwnPropertyNames(proto).filter(
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(name) => typeof this[name] === 'function' && name !== 'constructor'
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);
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}
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```
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*src/index.py* – parallel Python API
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*`src/index.py` – retry loop*
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```python
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def get_properties(self) -> List[str]:
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return list(self.__dict__.keys())
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def get_methods(self) -> List[str]:
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return [name for name, value in vars(self.__class__).items()
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if callable(value) and not name.startswith("_")]
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while attempt < max_retries:
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try:
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answer = generator()
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return answer
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except Exception as exc:
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attempt += 1
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if attempt >= max_retries:
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raise GenerationError(
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f"Answer generation failed after {max_retries} attempts"
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) from exc
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wait_time = backoff_factor * attempt
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time.sleep(wait_time)
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```
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**Honest limitations**
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- The graph is directed only; undirected edges would require additional logic.
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- No cycle detection or graph traversal algorithms are provided.
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- Persistence (saving/loading) is not implemented.
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- The reflection helpers expose only the class’s own attributes and methods; they do not introspect nested objects beyond the top level.
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*`src/index.py` – simulated generator*
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```python
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def _simulate_answer_generation() -> str:
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if random.random() < 0.3:
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raise RuntimeError("Simulated generation failure")
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time.sleep(0.1)
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return "Generated answer content"
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```
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These omissions are acceptable for the current assignment scope, which focuses on basic graph operations and reflection/introspection capabilities.
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*`src/index.py` – entry point*
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```python
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def main() -> None:
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try:
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answer = get_answer_with_retry()
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print("Answer generated successfully:")
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print(answer)
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except GenerationError as err:
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print(f"Error: {err}")
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```
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**Limitations**
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* The generator is a simple simulation; in a real system it would be replaced
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by the actual answer‑generation logic.
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* No logging or detailed diagnostics are added – the focus was on replacing
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the *reflect* node with `try/except`.
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* The back‑off is linear; exponential back‑off could be added if needed.
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Overall, the solution meets the requirement of removing the *reflect* node
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and using standard Python exception handling for retries.
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