File size: 2,236 Bytes
32e0071 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | 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()}
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