#!/usr/bin/env python3
"""Create a read-only 1C change proposal from a task evidence bundle."""

from __future__ import annotations

import argparse
import base64
import json
import re
from pathlib import Path
from typing import Any


def decode_arg(value: str | None, encoded: str | None) -> str | None:
    if encoded:
        return base64.b64decode(encoded).decode("utf-8")
    return value


def load_json(path: Path) -> dict[str, Any]:
    return json.loads(path.read_text(encoding="utf-8-sig"))


def norm(value: Any) -> str:
    return re.sub(r"[\s._-]+", "", str(value or "")).casefold()


def words(text: str) -> set[str]:
    return set(re.findall(r"[A-Za-zА-Яа-яЁё0-9_]{3,}", text.casefold()))


def infer_intents(text: str) -> list[str]:
    w = words(text)
    intents = []
    if w & {"добавить", "создать", "вывести", "показать"}:
        intents.append("add_or_expose")
    if w & {"изменить", "исправить", "доработать", "поменять"}:
        intents.append("modify")
    if w & {"проверить", "проверка", "проанализировать"}:
        intents.append("inspect_or_verify")
    if w & {"кнопка", "кнопку", "команда", "команду"}:
        intents.append("form_command")
    if w & {"форма", "форму"}:
        intents.append("form")
    if w & {"реквизит", "реквизиты", "поле", "поля"}:
        intents.append("attribute")
    if w & {"проведение", "провести", "запись", "записать"}:
        intents.append("object_lifecycle")
    return intents or ["inspect_or_verify"]


def unique_list(values: list[Any]) -> list[Any]:
    result = []
    seen = set()
    for value in values:
        key = json.dumps(value, ensure_ascii=False, sort_keys=True)
        if key in seen:
            continue
        seen.add(key)
        result.append(value)
    return result


def collect_search_findings(investigation: dict[str, Any]) -> list[dict[str, Any]]:
    findings = []
    for search in investigation.get("searches") or []:
        for match in search.get("matches") or []:
            evidence = match.get("evidence") or {}
            findings.append(
                {
                    "search_text": search.get("text"),
                    "area": match.get("area"),
                    "name": match.get("name"),
                    "title": match.get("title"),
                    "form": match.get("form"),
                    "origin": match.get("origin"),
                    "effective_action": match.get("effective_action"),
                    "path": evidence.get("path") or evidence.get("form_xml_path"),
                    "line": evidence.get("line"),
                    "id": evidence.get("id"),
                    "text": evidence.get("text"),
                }
            )
    return unique_list(findings)


def collect_file_targets(investigation: dict[str, Any]) -> list[dict[str, Any]]:
    targets = []
    for form_context in investigation.get("forms") or []:
        for form in form_context.get("forms") or []:
            targets.append(
                {
                    "kind": "form_xml",
                    "name": form.get("name"),
                    "origin": form.get("origin"),
                    "path": form.get("form_xml_path"),
                    "module_path": form.get("module_path"),
                    "reason": "selected_form_context",
                }
            )
            for overlay in form.get("extension_overlays") or []:
                targets.append(
                    {
                        "kind": "form_xml",
                        "name": overlay.get("name"),
                        "origin": overlay.get("origin"),
                        "path": overlay.get("form_xml_path"),
                        "module_path": overlay.get("module_path"),
                        "reason": "active_extension_form_overlay",
                    }
                )
    for module_context in investigation.get("modules") or []:
        for module in module_context.get("modules") or []:
            targets.append(
                {
                    "kind": "bsl_module",
                    "name": module.get("name"),
                    "origin": module.get("origin"),
                    "path": module.get("path"),
                    "relative_path": module.get("relative_path"),
                    "reason": "selected_module_context",
                }
            )
    for snippet in investigation.get("code_snippets") or []:
        targets.append(
            {
                "kind": "bsl_module",
                "name": snippet.get("module"),
                "origin": snippet.get("origin"),
                "path": snippet.get("path"),
                "line": snippet.get("focus_line"),
                "reason": f"code_search_hit:{snippet.get('search_text')}",
            }
        )
    return unique_list([target for target in targets if target.get("path") or target.get("module_path")])


def extension_names_from_targets(targets: list[dict[str, Any]]) -> list[str]:
    names = []
    for target in targets:
        origin = target.get("origin") or {}
        if origin.get("layer") == "extension" and origin.get("extension"):
            names.append(origin["extension"])
    return sorted(set(names))


def choose_write_strategy(investigation: dict[str, Any], targets: list[dict[str, Any]]) -> dict[str, Any]:
    extension_names = extension_names_from_targets(targets)
    active_extensions = ((investigation.get("brief") or {}).get("active_extensions") or [])
    if extension_names:
        preferred = extension_names[0]
        reason = "task evidence already points to an active extension overlay"
    elif active_extensions:
        preferred = active_extensions[0]
        reason = "active extensions exist; extension-first write path is required"
    else:
        preferred = None
        reason = "no active extension target found; create a new extension in a disposable validation loop"
    return {
        "mode": "extension_first_proposal",
        "preferred_extension": preferred,
        "reason": reason,
        "forbidden": [
            "direct SQL metadata/data updates",
            "direct Config/ConfigSave/ConfigCAS writes",
            "automatic production Designer update/apply",
        ],
    }


def split_write_targets(targets: list[dict[str, Any]], preferred_extension: str | None) -> dict[str, list[dict[str, Any]]]:
    write_candidates = []
    references = []
    for target in targets:
        origin = target.get("origin") or {}
        if origin.get("layer") == "extension" and (not preferred_extension or origin.get("extension") == preferred_extension):
            write_candidates.append(target)
        else:
            references.append(target)
    return {
        "write_candidates": unique_list(write_candidates),
        "read_only_reference_files": unique_list(references),
    }


def summarize_existing_state(findings: list[dict[str, Any]], targets: list[dict[str, Any]]) -> dict[str, Any]:
    form_commands = [row for row in findings if row.get("area") in {"form.command", "form.item"}]
    code_hits = [row for row in findings if row.get("area") == "module.code"]
    attributes = [row for row in findings if row.get("area") == "metadata.attribute"]
    return {
        "found_form_commands_or_items": form_commands,
        "found_metadata_attributes": attributes,
        "found_code_hits": code_hits[:20],
        "target_files": targets,
    }


def build_steps(task_text: str, intents: list[str], investigation: dict[str, Any], findings: list[dict[str, Any]], targets: list[dict[str, Any]]) -> list[dict[str, Any]]:
    object_info = ((investigation.get("brief") or {}).get("object") or {})
    steps = [
        {
            "order": 1,
            "action": "confirm_target_object",
            "object": object_info,
            "evidence": investigation.get("candidate"),
        },
        {
            "order": 2,
            "action": "review_effective_metadata",
            "purpose": "ensure extension-added attributes and modified types are included before code generation",
        },
    ]
    next_order = 3
    if "form_command" in intents or any(row.get("area") in {"form.command", "form.item"} for row in findings):
        steps.append(
            {
                "order": next_order,
                "action": "review_form_command",
                "purpose": "determine whether the command already exists or must be added",
                "evidence": [row for row in findings if row.get("area") in {"form.command", "form.item"}],
            }
        )
        next_order += 1
    if any(row.get("area") == "module.code" for row in findings):
        steps.append(
            {
                "order": next_order,
                "action": "review_related_bsl",
                "purpose": "inspect code snippets before proposing BSL changes",
                "evidence": [row for row in findings if row.get("area") == "module.code"][:10],
            }
        )
        next_order += 1
    steps.append(
        {
            "order": next_order,
            "action": "draft_extension_patch",
            "purpose": "prepare a reviewable patch against extension source files only",
            "candidate_targets": targets[:20],
        }
    )
    steps.append(
        {
            "order": next_order + 1,
            "action": "validate_in_disposable_base",
            "purpose": "load/update extension, open affected forms, run smoke scenario, and only then ask for approval",
        }
    )
    return steps


def build_checks(intents: list[str]) -> list[dict[str, Any]]:
    checks = [
        {"name": "syntax_check", "description": "Run 1C/BSL syntax validation for changed modules."},
        {"name": "extension_load", "description": "Package/load the extension into a disposable base."},
        {"name": "form_open", "description": "Open affected forms and verify command bindings and handlers."},
    ]
    if "form_command" in intents:
        checks.append({"name": "command_invocation", "description": "Invoke the affected form command and verify expected behavior."})
    if "object_lifecycle" in intents:
        checks.append({"name": "write_posting_smoke", "description": "Create/write/post a test document in a disposable base."})
    return checks


def proposal_for_investigation(task_text: str, investigation: dict[str, Any]) -> dict[str, Any]:
    intents = infer_intents(task_text)
    findings = collect_search_findings(investigation)
    targets = collect_file_targets(investigation)
    strategy = choose_write_strategy(investigation, targets)
    target_split = split_write_targets(targets, strategy.get("preferred_extension"))
    return {
        "object": (investigation.get("brief") or {}).get("object"),
        "candidate": investigation.get("candidate"),
        "intents": intents,
        "write_strategy": strategy,
        "existing_state": summarize_existing_state(findings, targets),
        "target_policy": target_split,
        "implementation_steps": build_steps(task_text, intents, investigation, findings, targets),
        "validation_checks": build_checks(intents),
        "open_questions": infer_open_questions(task_text, findings),
    }


def infer_open_questions(task_text: str, findings: list[dict[str, Any]]) -> list[str]:
    questions = []
    if "добав" in task_text.casefold() and any(row.get("area") in {"form.command", "form.item"} for row in findings):
        questions.append("The requested command/item appears to already exist; confirm whether the task is to modify existing behavior rather than add a duplicate.")
    if not findings:
        questions.append("No direct matches were found in the evidence bundle; broaden search terms or inspect more objects before generating a patch.")
    return questions


def build_proposal(evidence: dict[str, Any]) -> dict[str, Any]:
    task_text = ((evidence.get("task") or {}).get("text") or "")
    proposals = [proposal_for_investigation(task_text, item) for item in evidence.get("investigations") or []]
    return {
        "schema": "onec_task_change_proposal.v1",
        "task": evidence.get("task"),
        "source_evidence_schema": evidence.get("schema"),
        "view": evidence.get("view"),
        "proposals": proposals,
        "safety": {
            "mode": "proposal_only",
            "write_status": "blocked_until_write_gates",
            "write_contract": "docs/1c-write-path-safety.md",
        },
        "counts": {
            "proposals": len(proposals),
            "target_files": sum(len((proposal.get("existing_state") or {}).get("target_files") or []) for proposal in proposals),
            "write_candidates": sum(len((proposal.get("target_policy") or {}).get("write_candidates") or []) for proposal in proposals),
            "open_questions": sum(len(proposal.get("open_questions") or []) for proposal in proposals),
        },
    }


def main() -> int:
    parser = argparse.ArgumentParser(description="Create a read-only 1C change proposal from evidence.")
    parser.add_argument("--evidence", type=Path, required=True)
    parser.add_argument("--output", type=Path)
    args = parser.parse_args()

    result = build_proposal(load_json(args.evidence))
    output = json.dumps(result, ensure_ascii=False, indent=2) + "\n"
    if args.output:
        args.output.parent.mkdir(parents=True, exist_ok=True)
        args.output.write_text(output, encoding="utf-8")
        print(json.dumps({"output": str(args.output), "counts": result["counts"]}, ensure_ascii=False))
    else:
        print(output)
    return 0


if __name__ == "__main__":
    raise SystemExit(main())