demo/src/reporting.py

from __future__ import annotations

import hashlib
import json
from pathlib import Path
from typing import Any

import pandas as pd

from src.domain import CODE_VERSION, PRODUCT, RULESET_ID, SCHEMA_ID


def input_hash(payload: dict[str, Any]) -> str:
    raw = json.dumps(payload, sort_keys=True, ensure_ascii=False, default=str)
    return hashlib.sha256(raw.encode("utf-8")).hexdigest()[:16]


def build_report(result: dict[str, Any]) -> dict[str, Any]:
    return {
        "product": PRODUCT,
        "code_version": CODE_VERSION,
        "schema_id": SCHEMA_ID,
        "ruleset_id": RULESET_ID,
        "run_id": result["run_id"],
        "input_hash": result["input_hash"],
        "verdict": result["verdict"].value if hasattr(result["verdict"], "value") else result["verdict"],
        "status_label": result["status_label"],
        "kpis": result["kpis"],
        "findings": [item.model_dump() if hasattr(item, "model_dump") else item for item in result.get("findings") or []],
        "unknowns": [item.model_dump() if hasattr(item, "model_dump") else item for item in result.get("unknowns") or []],
        "reasons": result.get("reasons") or [],
        "validation": result["validation"].model_dump() if hasattr(result.get("validation"), "model_dump") else result.get("validation"),
        "note": "Uploaded code is not executed. Suggested patches are not merged.",
    }


def write_downloads(result: dict[str, Any], folder: Path) -> dict[str, str]:
    folder.mkdir(parents=True, exist_ok=True)
    run_id = result["run_id"]
    files = {
        "findings": folder / f"{run_id}_findings.csv",
        "unknowns": folder / f"{run_id}_unknowns.csv",
        "comparison": folder / f"{run_id}_comparison.csv",
        "report": folder / f"{run_id}_report.json",
    }
    pd.DataFrame(result.get("finding_rows") or []).to_csv(files["findings"], index=False)
    pd.DataFrame(result.get("unknown_rows") or []).to_csv(files["unknowns"], index=False)
    pd.DataFrame(result.get("comparison") or []).to_csv(files["comparison"], index=False)
    files["report"].write_text(json.dumps(result["report"], indent=2, ensure_ascii=False, default=str), encoding="utf-8")
    return {key: str(path) for key, path in files.items()}