| #!/usr/bin/env bash |
| set -euo pipefail |
|
|
| cd "$(dirname "$0")" |
| PYTHON_BIN="${PYTHON_BIN:-python3}" |
| "$PYTHON_BIN" - <<'__SKILL_EVOL_SOLVE_PY_0__' |
| from __future__ import annotations |
|
|
| import os |
| from pathlib import Path |
| from textwrap import dedent |
|
|
| PROJECT_ROOT = Path(os.environ.get("PROJECT_ROOT", "/root/task")).resolve() |
|
|
| FILES = { |
| "ordering_policy.py": dedent( |
| """ |
| from __future__ import annotations |
| |
| import pandas as pd |
| |
| |
| def sort_logs(df: pd.DataFrame) -> pd.DataFrame: |
| return df.sort_values(["parsed_date", "time", "log_id"], kind="mergesort").reset_index(drop=True) |
| """ |
| ), |
| "process_logs.py": dedent( |
| """ |
| from __future__ import annotations |
| |
| import json |
| from pathlib import Path |
| |
| import pandas as pd |
| |
| from date_parser import parse_display_dates |
| from ordering_policy import sort_logs |
| |
| CSV_PATH = Path("server_logs.csv") |
| OUTPUT_PATH = Path("output.json") |
| |
| |
| def run(csv_path: Path = CSV_PATH, output_path: Path = OUTPUT_PATH) -> dict: |
| df = pd.read_csv(csv_path) |
| df["parsed_date"] = parse_display_dates(df["date"]) |
| sorted_df = sort_logs(df) |
| export_df = sorted_df.drop(columns=["parsed_date"], errors="ignore") |
| payload = { |
| "row_count": int(len(export_df)), |
| "first_date": export_df.iloc[0]["date"], |
| "last_date": export_df.iloc[-1]["date"], |
| "records": export_df.to_dict(orient="records"), |
| } |
| output_path.write_text(json.dumps(payload, indent=2), encoding="utf-8") |
| return payload |
| |
| |
| if __name__ == "__main__": |
| run() |
| """ |
| ), |
| } |
|
|
| for relative_path, content in FILES.items(): |
| target = PROJECT_ROOT / relative_path |
| target.write_text(content, encoding="utf-8") |
| print(f"wrote {target}") |
| __SKILL_EVOL_SOLVE_PY_0__ |
|
|
