testsAndMisc/python_pkg/code_tutor/_challenge_support.py
Krzysztof kuhy Rudnicki 2d0d69b461 Add code_tutor: interactive codebase-learning CLI
New python_pkg/code_tutor package that turns an unfamiliar codebase into
an interactive lesson: analyse code into items (_analyzer), order them
dependency-first (_plan_builder), pose reimplement challenges
(_challenge + _challenge_support), verify user implementations with tests
and coverage (_verifier), track progress (_progress/_session), and offer
local-LLM hints (_llm), driven by a Typer/Rich CLI (cli).

- meta/pyproject.toml + .pre-commit-config.yaml + meta/requirements.txt:
  add anthropic/rich/typer deps, a cli.py per-file-ignore (Typer B008 etc),
  and code_tutor-specific ruff/pylint/mypy tuning.
- _challenge.py and its tests are split across _challenge_support.py and
  test_challenge_part2/part3.py to stay under the 500-line file cap.

Verification: pytest 631 passed at 100% line+branch coverage; every file
<=500 lines; pre-commit (ruff ALL, mypy strict, pylint 10/10, bandit,
evidence + multi-file contract) green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017RRCdR4D8SaVrN2xraMQxM
2026-07-11 00:15:46 +02:00

403 lines
12 KiB
Python

"""Lower-level helpers shared by the coding-challenge flows.
This module holds the test-discovery, pytest-execution and LLM
verdict/signature helpers used by :mod:`python_pkg.code_tutor._challenge`.
Splitting them out keeps each module comfortably under the repo's
500-line-per-file limit while preserving a clean, single-responsibility seam:
everything here is a stateless helper with no knowledge of the interactive
challenge flows that consume it.
"""
from __future__ import annotations
import ast
import json
import os
from pathlib import Path
import re
import subprocess
import sys
import time
from typing import TYPE_CHECKING
from rich.live import Live
from rich.panel import Panel
from rich.syntax import Syntax
from rich.text import Text
if TYPE_CHECKING:
from collections.abc import Callable
from rich.console import Console
from python_pkg.code_tutor._analyzer import CodeItem
from python_pkg.code_tutor._llm import Backend
def _scan_test_file(source: str, item_name: str) -> list[str]:
"""Return pytest node IDs that reference *item_name*.
Handles both module-level functions and class methods. Class IDs use the
``ClassName::test_name`` format expected by pytest.
Args:
source: Full text of the test file.
item_name: Name of the function under test.
Returns:
List of qualified pytest node IDs.
"""
try:
tree = ast.parse(source)
except SyntaxError:
return []
src_lines = source.splitlines()
matching: list[str] = []
def _body_has(node: ast.FunctionDef | ast.AsyncFunctionDef) -> bool:
end = getattr(node, "end_lineno", node.lineno)
return item_name in "\n".join(src_lines[node.lineno - 1 : end])
for top in tree.body:
if isinstance(top, (ast.FunctionDef, ast.AsyncFunctionDef)):
if top.name.startswith("test_") and _body_has(top):
matching.append(top.name)
elif isinstance(top, ast.ClassDef):
matching.extend(
f"{top.name}::{method.name}"
for method in top.body
if (
isinstance(method, (ast.FunctionDef, ast.AsyncFunctionDef))
and method.name.startswith("test_")
and _body_has(method)
)
)
return matching
def _find_tests(item: CodeItem, codebase: Path) -> list[tuple[Path, list[str]]]:
"""Find existing test node IDs that reference *item.name* in *codebase*.
Args:
item: The code item being challenged.
codebase: Root directory of the codebase to search.
Returns:
List of ``(test_file, [node_ids])`` pairs.
"""
candidates = list(codebase.rglob("test_*.py")) + list(codebase.rglob("*_test.py"))
results: list[tuple[Path, list[str]]] = []
for test_file in sorted(set(candidates)):
try:
source = test_file.read_text(encoding="utf-8", errors="replace")
except OSError:
continue
if item.name not in source:
continue
node_ids = _scan_test_file(source, item.name)
if node_ids:
results.append((test_file, node_ids))
return results
def _show_test_panels(
test_entries: list[tuple[Path, list[str]]],
console: Console,
) -> None:
"""Display each test function in a syntax-highlighted panel.
Args:
test_entries: List of ``(test_file, node_ids)`` pairs.
console: Rich console for output.
"""
for test_file, node_ids in test_entries:
try:
source = test_file.read_text(encoding="utf-8", errors="replace")
tree = ast.parse(source)
except (OSError, SyntaxError):
continue
src_lines = source.splitlines()
func_names = {nid.split("::")[-1] for nid in node_ids}
for top in tree.body:
nodes: list[tuple[str, ast.FunctionDef | ast.AsyncFunctionDef]] = []
if isinstance(top, (ast.FunctionDef, ast.AsyncFunctionDef)):
nodes = [(top.name, top)]
elif isinstance(top, ast.ClassDef):
for m in top.body:
if isinstance(m, (ast.FunctionDef, ast.AsyncFunctionDef)):
nodes.append((m.name, m))
for name, node in nodes:
if name not in func_names:
continue
end = getattr(node, "end_lineno", node.lineno)
snippet = "\n".join(src_lines[node.lineno - 1 : end])
console.print(
Panel(
Syntax(snippet, "python", theme="monokai", line_numbers=True),
title=f"[blue]Test: {name}[/blue]",
border_style="blue",
)
)
def _collect_lines(
prompt: str,
console: Console,
input_fn: Callable[[str], str],
) -> str | None:
"""Collect multi-line input until the user types END or skip.
Args:
prompt: Message to display before input begins.
console: Rich console for output.
input_fn: Callable for reading user input.
Returns:
The collected text as a single string, or ``None`` if skipped.
"""
console.print(prompt)
lines: list[str] = []
while True:
line = input_fn("")
if line.strip().lower() == "skip":
return None
if line.strip() == "END":
break
lines.append(line)
return "\n".join(lines)
def _project_root(start: Path) -> Path:
"""Walk up from *start* to find the nearest ``pyproject.toml`` / ``setup.py``.
Args:
start: Directory to begin the search from.
Returns:
Project root, or *start* if none found.
"""
current = start.resolve()
while current != current.parent:
if (current / "pyproject.toml").exists() or (current / "setup.py").exists():
return current
current = current.parent
return start.resolve()
def _pytest_clean(
test_ids_or_file: list[str],
project_root: Path,
console: Console,
extra_env: dict[str, str] | None = None,
) -> bool:
"""Run pytest on *test_ids_or_file* and return True if all pass.
Coverage is disabled so the project's ``fail_under`` threshold does not
interfere with isolated challenge runs.
Args:
test_ids_or_file: Pytest node IDs or a single temp-file path.
project_root: Working directory for the pytest subprocess.
console: Rich console for output.
extra_env: Extra environment variables (e.g. PYTHONPATH override).
Returns:
``True`` when all collected tests pass.
"""
env = {**os.environ, **(extra_env or {})}
result = subprocess.run(
[
sys.executable,
"-m",
"pytest",
*test_ids_or_file,
"-v",
"--tb=short",
"--no-header",
"-p",
"no:cov",
"--override-ini=addopts=",
],
capture_output=True,
text=True,
cwd=str(project_root),
env=env,
check=False,
)
output = (result.stdout + result.stderr).strip()
if output:
console.print(output)
return result.returncode == 0
def _patch_and_test(
item: CodeItem,
codebase_path: str,
user_code: str,
test_entries: list[tuple[Path, list[str]]],
console: Console,
) -> bool:
"""Replace *item* in source with *user_code*, run tests, then restore.
Args:
item: Code item to patch.
codebase_path: Absolute codebase root path.
user_code: User's implementation text.
test_entries: ``(test_file, node_ids)`` pairs to run.
console: Rich console for output.
Returns:
``True`` if all tests passed.
"""
source_file = Path(codebase_path) / item.file
original = source_file.read_text(encoding="utf-8")
orig_lines = original.splitlines()
before = orig_lines[: item.start_line - 1]
after = orig_lines[item.end_line :]
new_source = "\n".join(before + user_code.splitlines() + after) + "\n"
try:
ast.parse(new_source)
except SyntaxError as exc:
console.print(f"[red]Syntax error in your implementation: {exc}[/red]")
return False
test_ids = [f"{tf}::{nid}" for tf, nids in test_entries for nid in nids]
project_root = _project_root(Path(codebase_path))
try:
source_file.write_text(new_source, encoding="utf-8")
return _pytest_clean(test_ids, project_root, console)
finally:
source_file.write_text(original, encoding="utf-8")
def _stream_verdict(
system: str,
user_msg: str,
backend: Backend,
console: Console,
label: str = "Rating",
) -> str:
"""Stream an LLM call silently while showing an elapsed timer.
Args:
system: System prompt for the judge.
user_msg: User message to judge.
backend: LLM backend with a ``stream(system, user, callback)`` method.
console: Rich console for the live timer.
label: Label prefix shown in the timer (e.g. ``"Rating"``).
Returns:
Accumulated response text.
"""
parts: list[str] = []
start = time.monotonic()
def _on_token(token: str) -> None:
parts.append(token)
elapsed = int(time.monotonic() - start)
live.update(Text(f"{label}... {elapsed}s", style="yellow"))
with Live(
Text(f"{label}... 0s", style="yellow"),
console=console,
refresh_per_second=4,
transient=True,
) as live:
backend.stream(system, user_msg, _on_token)
return "".join(parts)
def _parse_verdict(raw: str) -> tuple[str, str]:
"""Parse ``{"verdict": ..., "gap": ...}`` JSON from *raw*, tolerating fences.
Args:
raw: Raw LLM response text.
Returns:
``(verdict, gap)`` where verdict is ``"PASS"`` or ``"FAIL"``.
"""
clean = re.sub(r"```(?:json)?\s*", "", raw, flags=re.DOTALL).strip()
start = clean.find("{")
end = clean.rfind("}") + 1
if start == -1 or end == 0:
return "FAIL", "Could not parse judge response."
try:
data = json.loads(clean[start:end])
except json.JSONDecodeError:
return "FAIL", "Could not parse judge response."
verdict = str(data.get("verdict", "FAIL")).upper()
if verdict not in {"PASS", "FAIL"}:
verdict = "FAIL"
return verdict, str(data.get("gap", ""))
# ---------------------------------------------------------------------------
# "Write tests first" flow -- helpers
# ---------------------------------------------------------------------------
def _extract_signature_block(item: CodeItem, codebase_path: str) -> str:
"""Return the function signature plus docstring, without the body.
Gives the user the contract of the function so they can write tests
without seeing the implementation.
Args:
item: Code item to extract from.
codebase_path: Absolute codebase root path.
Returns:
Multi-line string ending after the closing ``\"\"\"`` of the docstring,
or just the ``def`` line when no docstring is present.
"""
path = Path(codebase_path) / item.file
try:
source = path.read_text(encoding="utf-8", errors="replace")
tree = ast.parse(source)
except (OSError, SyntaxError):
return f"def {item.name}(...):"
lines = source.splitlines()
for node in ast.walk(tree):
if not isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
continue
if node.name != item.name:
continue
sig_end = node.lineno
if (
node.body
and isinstance(node.body[0], ast.Expr)
and isinstance(node.body[0].value, ast.Constant)
and isinstance(node.body[0].value.value, str)
):
sig_end = getattr(node.body[0], "end_lineno", node.lineno + 1)
return "\n".join(lines[node.lineno - 1 : sig_end])
return f"def {item.name}(...):"
def _import_hint(item: CodeItem, codebase_path: str, project_root: Path) -> str:
"""Build the Python import statement for *item*.
Args:
item: Code item to import.
codebase_path: Absolute codebase root path.
project_root: Project root (where pyproject.toml lives).
Returns:
A ``from <module> import <name>`` string.
"""
abs_file = (Path(codebase_path) / item.file).resolve()
try:
rel = abs_file.relative_to(project_root).with_suffix("")
module = ".".join(rel.parts)
except ValueError:
module = Path(item.file).stem
return f"from {module} import {item.name}"