57 lines
3.0 KiB
Python
57 lines
3.0 KiB
Python
"""Review-only company questionnaire CLI; it never imports or writes Firebird."""
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import argparse
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import csv
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import json
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from pathlib import Path
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from central.app.ai.questionnaire import build_questionnaire, group_questions, render_csv, render_json, validate_answers
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def _load(path):
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if Path(path).suffix.lower() == ".json":
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return json.loads(Path(path).read_text(encoding="utf-8"))["questions"]
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with Path(path).open(newline="", encoding="utf-8-sig") as stream:
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return list(csv.DictReader(stream))
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def main(argv=None):
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parser = argparse.ArgumentParser()
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parser.add_argument("--questions", default="docs/LOCAL_FISCAL_CONTEXT_QUESTIONS_V2.json")
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parser.add_argument("--answers", help="JSON object keyed by QUESTION_ID; omit for guided mode")
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parser.add_argument("--output", default="docs/OPERATOR_CONTEXT_ANSWERS_V3.json")
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parser.add_argument("--format", choices=("json", "csv"), default="json")
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parser.add_argument("--confirm", action="store_true", help="write the reviewed artifact")
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args = parser.parse_args(argv)
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rows = _load(args.questions)
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databases = sorted({str(q.get("DATABASE") or "").strip() for q in rows if q.get("DATABASE")})
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existing = {q.get("DATABASE") for q in rows if q.get("KEY") == "store_ipi_profile"}
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rows += [{"QUESTION_ID": f"QIPI-{name}", "DATABASE": name, "SCOPE": "COMPANY", "KEY": "store_ipi_profile",
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"VALID_OPTIONS": ["POPULATE_REFERENCE_RATE", "LEAVE_NOT_APPLICABLE"],
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"QUESTION": "Guardar a aliquota TIPI como referencia no cadastro?", "PRODUCTS_AFFECTED": 0, "CELLS": 0}
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for name in databases if name not in existing]
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questions = build_questionnaire([q for q in rows if str(q.get("CATEGORY", "")).upper() == "C" or q.get("KEY") == "store_ipi_profile"])
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groups = group_questions(questions)
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if args.answers:
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answers = json.loads(Path(args.answers).read_text(encoding="utf-8"))
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else:
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answers = {}
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for group in groups:
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print(f"\nEMPRESA: {group['database']}\nPERGUNTA: {group['question']}\nPOR QUE PRECISA: {group['consequence']}\nPRODUTOS AFETADOS: {group['affected']['products']}\nCÉLULAS AFETADAS: {group['affected']['cells']}\nOPÇÕES: {', '.join(group['options'])}")
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value = input("RESPOSTA (ou CANCELAR): ").strip()
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if value.upper() == "CANCELAR":
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print("cancelado; nada foi persistido")
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return 0
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for question_id in group["question_ids"]:
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answers[question_id] = value
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result = validate_answers(questions, answers)
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print(json.dumps({"questions": len(questions), "groups": len(groups), "entries": len(result["entries"]), "rollback_plan": result["rollback_plan"]}, ensure_ascii=False))
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if not args.confirm:
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print("review only; nothing was persisted")
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return 0
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Path(args.output).write_text(render_csv(result) if args.format == "csv" else render_json(result), encoding="utf-8")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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