Round #1141

22 May 2026, 17:07· python· claude-sonnet-4-6· r13-clean-hints
Complexity
band 1
ZP / UO / OBS
3 / 1 / 21
Journey weight
2178
Lightshift ΔL

Prompt

Write a Python script that uses pathlib.Path to walk a directory tree, calls path.glob on the pattern "*.log" recursively, reads each file with path.read_text, and extracts HTTP status codes using re.compile and re.finditer with a named capture group. Aggregate the counts into a dict keyed by status code, then emit the result via json.dumps with indent=2 to stdout. Guard the script body with an if __name__ == "__main__": block so the helper functions remain importable from other modules. Raise a clear exception if no log files match.

Zero-point index (what the engine surfaced)

ZPI-ZPI-0001 | 2026-05-22T17:07:50Z Write a Python script that uses pathlib.Path to walk a directory tree, calls path.glob on the pattern "*.log" recursively, reads each file with path.read_text, and extracts HTTP status codes using re.compile and re.finditer with a named capture group. Aggregate the counts into a dict keyed by status code, then emit the result via json.dumps with indent=2 to stdout. Guard the script body with an if __name__ == "__main__": block so the helper functions remain importable from other modules. Raise a clear exception if no log files match. ZERO POINT — 3 entries (structural invariants) ● hsl(277.10, 100%, 15%) __name__ == "__main__" guard [contract] ● hsl(355.85, 100%, 15%) module vs script execution [contract] ● hsl(125.46, 100%, 15%) import-time isolation [contract] UNOBSERVED — 1 entries (implied truths) ○ hsl(31.79, 100%, 15%) async [feature] OBSERVED — 21 entries (explicit in request) ◉ hsl(9.23, 100%, 50%) match [feature] ◉ hsl(18.46, 100%, 16%) raise [feature] ◉ hsl(33.84, 100%, 15%) with [feature] ◉ hsl(52.31, 100%, 15%) dict [feature] ◉ hsl(170.25, 100%, 15%) __name__ [feature] ◉ hsl(172.30, 100%, 15%) __dict__ [feature] ◉ hsl(176.40, 100%, 15%) __main__ [feature] ◉ hsl(269.73, 100%, 15%) os path [feature] ◉ hsl(348.75, 100%, 3%) exception group [feature] ◉ hsl(1.85, 100%, 7%) read text file [function] ◉ hsl(7.38, 100%, 7%) write text file [function] ◉ hsl(168.00, 100%, 7%) pathlib Path [function] ◉ hsl(175.38, 100%, 19%) path glob [function] ◉ hsl(177.23, 100%, 7%) path read_text [function] ◉ hsl(179.08, 100%, 13%) path write_text [function] ◉ hsl(182.77, 100%, 7%) os walk [function] ◉ hsl(238.15, 100%, 7%) json dumps [function] ◉ hsl(256.62, 100%, 7%) re match [function] ◉ hsl(262.15, 100%, 7%) re finditer [function] ◉ hsl(265.85, 100%, 7%) re compile [function] ◉ hsl(269.54, 100%, 7%) named capture group [function] COMPLEXITY │ 25 entries │ spread: 347° │ band: MEDIUM

Baseline response (no ZPI)

```python #!/usr/bin/env python3 """ log_status_aggregator.py Walk a directory tree, find all *.log files, extract HTTP status codes from each file, aggregate the counts, and print the result as JSON. Usage: python log_status_aggregator.py <directory> """ import json import re import sys from pathlib import Path from typing import Dict # --------------------------------------------------------------------------- # Compiled pattern – named capture group "status" matches 3-digit HTTP codes # that follow a space (e.g. "GET /index.html HTTP/1.1" 200 512) # The pattern also handles common log formats such as: # - Combined/Common Log Format: ... "GET / HTTP/1.1" 200 1234 # - Simple lines that contain an HTTP status code somewhere # --------------------------------------------------------------------------- HTTP_STATUS_PATTERN: re.Pattern = re.compile( r'(?<!\d)(?P<status>[1-5]\d{2})(?!\d)' ) def find_log_files(root: Path) -> list[Path]: """ Recursively find all *.log files under *root*. Parameters ---------- root : Path The root directory to search. Returns ------- list[Path] A sorted list of matching Path objects. Raises ------ NotADirectoryError If *root* does not point to an existing directory. FileNotFoundError If no *.log files are found beneath *root*. """ if not root.is_dir(): raise NotADirectoryError( f"The provided path is not a directory or does not exist: {root}" ) log_files: list[Path] = sorted(root.glob("**/*.log")) if not log_files: raise FileNotFoundError( f"No *.log files were found under the directory: {root}" ) return log_files def extract_status_codes(text: str) -> list[str]: """ Extract all HTTP status codes from *text* using the compiled regex. Parameters ---------- text : str The raw text content of a log file. Returns ------- list[str] A list of status-code strings (e.g. ['200', '404', '200']). """ return [match.group("status") for match in HTTP_STATUS_PATTERN.finditer(text)] def aggregate_status_codes(log_files: list[Path]) -> Dict[str, int]: """ Read each log file and aggregate HTTP status code counts. Parameters ---------- log_files : list[Path] Paths to the log files to process. Returns ------- Dict[str, int] A dictionary mapping each status code string to its total count, sorted in ascending order by status code. """ counts: Dict[str, int] = {} for log_path in log_files: try: text = log_path.read_text(encoding="utf-8", errors="replace") except OSError as exc: # Report the problematic file but continue processing others. print( f"Warning: Could not read {log_path}: {exc}", file=sys.stderr, ) continue for code in extract_status_codes(text): counts[code] = counts.get(code, 0) + 1 # Return a new dict sorted by status code for deterministic output. return dict(sorted(counts.items())) def process_directory(root: Path) -> Dict[str, int]: """ Orchestrate the full pipeline: find files → read → aggregate. Parameters ---------- root : Path The root directory to search for log files. Returns ------- Dict[str, int] Aggregated HTTP status code counts. """ log_files = find_log_files(root) print(f"Found {len(log_files)} log file(s) under '{root}'.", file=sys.stderr) return aggregate_status_codes(log_files) # --------------------------------------------------------------------------- # Entry point # --------------------------------------------------------------------------- if __name__ == "__main__": if len(sys.argv) != 2: print( f"Usage: python {Path(__file__).name} <directory>", file=sys.stderr, ) sys.exit(1) root_directory = Path(sys.argv[1]) try: results = process_directory(root_directory) except (NotADirectoryError, FileNotFoundError) as error: print(f"Error: {error}", file=sys.stderr) sys.exit(1) # Emit the aggregated counts as pretty-printed JSON to stdout. print(json.dumps(results, indent=2)) ``` --- ### How It Works | Layer | Function | Responsibility | |---|---|---| | Discovery | `find_log_files` | Uses `Path.glob("**/*.log")` to walk the tree; raises `FileNotFoundError` if nothing matches | | Extraction | `extract_status_codes` | Applies `re.finditer` with named group `(?P<status>…)` to a text string | | Aggregation | `aggregate_status_codes` | Calls `Path.read_text` on each file and tallies counts into a `dict` | | Orchestration | `process_directory` | Composes the two steps above; importable by other modules | | CLI | `__main__` block | Parses `sys.argv`, calls `process_directory`, prints `json.dumps(…, indent=2)` | ### Example run ``` $ python log_status_aggregator.py /var/log/nginx Found 4 log file(s) under '/var/log/nginx'. { "200": 15423, "301": 87, "304": 2310, "404": 312, "500": 9 } ``` ### Importing from another module Because the script body is guarded by `if __name__ == "__main__":`, the helpers are freely importable: ```python from log_status_aggregator import ( find_log_files, extract_status_codes, aggregate_status_codes, process_directory, ) ```

Enhanced response (with ZPI)

```python """ log_status_counter.py Walk a directory tree, extract HTTP status codes from *.log files, and print aggregated counts as JSON. """ import json import re import sys from collections import defaultdict from pathlib import Path # Compiled once at import time — safe to reuse across calls. _STATUS_PATTERN = re.compile(r'"[A-Z]+ \S+ HTTP/[\d.]+" (?P<status>\d{3})') def find_log_files(root: Path) -> list[Path]: """Return all *.log files found recursively under *root*.""" return list(root.glob("**/*.log")) def extract_status_codes(text: str) -> list[str]: """Return every HTTP status code found in *text*.""" return [m.group("status") for m in _STATUS_PATTERN.finditer(text)] def aggregate_counts(log_files: list[Path]) -> dict[str, int]: """ Read each file and tally status codes. Raises ------ ValueError If *log_files* is empty. OSError Re-raised from Path.read_text on permission / encoding errors. """ if not log_files: raise ValueError("No *.log files matched the given directory.") counts: dict[str, int] = defaultdict(int) for path in log_files: text = path.read_text(encoding="utf-8", errors="replace") for code in extract_status_codes(text): counts[code] += 1 # Return a plain dict sorted by status code for deterministic output. return dict(sorted(counts.items())) def run(directory: str | Path) -> None: """ Orchestrate the walk → extract → print pipeline. Parameters ---------- directory: Root path to search. Must exist and be a directory. Raises ------ NotADirectoryError If *directory* does not exist or is not a directory. ValueError If no *.log files are found. """ root = Path(directory).expanduser().resolve() if not root.is_dir(): raise NotADirectoryError(f"Not a directory: {root}") log_files = find_log_files(root) counts = aggregate_counts(log_files) print(json.dumps(counts, indent=2)) if __name__ == "__main__": import argparse parser = argparse.ArgumentParser( description="Aggregate HTTP status codes from *.log files in a directory tree." ) parser.add_argument( "directory", nargs="?", default=".", help="Root directory to search (default: current working directory).", ) args = parser.parse_args() try: run(args.directory) except (NotADirectoryError, ValueError) as exc: print(f"Error: {exc}", file=sys.stderr) sys.exit(1) ``` **How it works:** - **`find_log_files`** uses `Path.glob("**/*.log")` for a fully recursive search and materialises the iterator into a list so emptiness is detectable before any I/O. - **`_STATUS_PATTERN`** is compiled once at module level (not inside a loop). The named group `(?P<status>\d{3})` matches the three-digit code that follows the quoted request line in Combined Log Format; `re.finditer` streams matches without loading the whole match list. - **`aggregate_counts`** raises `ValueError` with a clear message when the file list is empty, satisfying the requirement. `defaultdict(int)` keeps the tallying concise, and the result is sorted before returning so the JSON output is stable. - **`run`** resolves the path with `.expanduser().resolve()` so relative paths and `~` both work correctly. - The `if __name__ == "__main__":` guard keeps all three helpers (`find_log_files`, `extract_status_codes`, `aggregate_counts`) freely importable and independently testable; only `argparse` and `sys.exit` live inside the guard.

Grader chain

Each grader reads the same baseline + enhanced pair and casts an independent verdict. Disagreement is the framework's own signal — not noise to be averaged away.

V1samba/Meta-Llama-3.3-70B-Instruct
Better
V4qwen2.5-coder-3b-instruct
Better
V5cerebras/qwen-3-235b-a22b-instruct-2507
Better
V7qwen2.5-coder-7b-instruct
Better
V8openai/gpt-4.1
Better
V9anthropic/claude-opus-4-7
Same
V12openai/gpt-4o
Better

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