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from __future__ import annotations

import json
import os
import subprocess
from collections import Counter
from pathlib import Path

from fastapi import HTTPException

from docx_text import get_strict_invariant_hash, normalize_visible_text
from models import ApplyResult, ResolveStrategy, ReviewFinding
from comment_target_resolver import resolve_findings_against_docx, resolve_single_target, FindingResolution
from logger import setup_logger

logger = setup_logger(__name__)

ROOT_DIR = Path(__file__).resolve().parent.parent
COMMENTER_PROJECT = ROOT_DIR / "tools" / "docx-commenter" / "docx-commenter.csproj"


def _hash_text(input_text: str) -> str:
    import hashlib
    return hashlib.sha256(input_text.encode("utf-8")).hexdigest()[:16]


def _comment_ops(findings: list[ReviewFinding], resolution_map: dict | None = None) -> dict:
    return {
        "author": os.environ.get("MIKE_COMMENT_AUTHOR", "Tabularrr"),
        "comments": [
            {
                "id": finding.id,
                "model_block_id": finding.model_block_id,
                "comment_key": finding.comment_key,
                "paragraph_id": finding.start_paragraph_id,
                "end_paragraph_id": finding.end_paragraph_id,
                "target_text": finding.target_text,
                "anchor_mode": finding.anchor_mode,
                "before_anchor": finding.before_anchor,
                "after_anchor": finding.after_anchor,
                "comment": finding.comment,
                "stable_id": finding.stable_id,
                "native_para_id": finding.native_para_id,
                "text_hash": finding.text_hash,
                "xml_path": finding.xml_path,
                "type": finding.op_type,
                "new_text": finding.new_text,
                "insert_text": finding.insert_text,
                "position": finding.position,
                "rewrite_mode": finding.rewrite_mode,
                "old_span": finding.old_span,
                "new_span": finding.new_span,
                "bookmark_name": finding.bookmark_name,
            }
            for finding in findings
        ],
    }


def _run_docx_commenter(
    input_docx: Path,
    output_docx: Path,
    ops_path: Path,
    report_path: Path,
    dry_run: bool = False,
) -> list[dict]:
    if not COMMENTER_PROJECT.exists():
        raise HTTPException(
            status_code=500,
            detail=f"DOCX commenter project is missing: {COMMENTER_PROJECT}",
        )

    command = [
        "dotnet",
        "run",
        "--project",
        str(COMMENTER_PROJECT),
        "--",
        "--input",
        str(input_docx),
        "--ops",
        str(ops_path),
        "--output",
        str(output_docx),
        "--report",
        str(report_path),
    ]
    if dry_run:
        command.extend(["--dry-run", "true"])

    logger.info(f"Running docx-commenter with command: {' '.join(command)}")

    completed = subprocess.run(
        command, cwd=str(ROOT_DIR), text=True, capture_output=True, timeout=120
    )
    if completed.returncode != 0:
        logger.error(f"DOCX commenter failed. Stdout: {completed.stdout}, Stderr: {completed.stderr}")
        raise HTTPException(
            status_code=500,
            detail=f"DOCX commenter failed: {completed.stderr or completed.stdout}",
        )
    if not report_path.exists():
        logger.error("DOCX commenter did not create an apply report.")
        raise HTTPException(
            status_code=500, detail="DOCX commenter did not create an apply report."
        )
    logger.info("DOCX commenter completed successfully.")
    raw_report = json.loads(report_path.read_text(encoding="utf-8"))
    raw_results = raw_report.get("results") if isinstance(raw_report, dict) else []
    if not isinstance(raw_results, list):
        return []
    return raw_results


def apply_docx_comments(
    *,
    input_docx: Path,
    output_docx: Path,
    findings: list[ReviewFinding],
    work_dir: Path,
    allow_paragraph_fallback: bool = False,
    track_changes: bool = False,
) -> list[ApplyResult]:
    from docx_text import extract_docx_paragraphs
    from comment_target_resolver import generate_editable_subspan_candidates

    logger.info(f"Applying docx comments. Input: {input_docx}, Output: {output_docx}, Total Findings: {len(findings)}, Track Changes: {track_changes}")

    work_dir.mkdir(parents=True, exist_ok=True)
    output_docx.parent.mkdir(parents=True, exist_ok=True)
    
    paragraphs = extract_docx_paragraphs(input_docx)
    para_map = {p.id: p.text for p in paragraphs}

    exact_findings = [finding for finding in findings if finding.anchor_mode == "exact"]
    exact_resolution_results = resolve_findings_against_docx(
        input_docx, exact_findings,
        allow_paragraph_fallback=allow_paragraph_fallback,
    ) if exact_findings else []
    exact_resolution_by_id = {r.finding.id: r for r in exact_resolution_results}

    resolution_results: list[FindingResolution] = []
    for finding in findings:
        if finding.anchor_mode == "exact":
            resolved = exact_resolution_by_id.get(finding.id)
            if resolved is not None:
                resolution_results.append(resolved)
                continue
        resolution_results.append(FindingResolution(
            finding=finding,
            original_target_text=finding.target_text,
            original_before_anchor=finding.before_anchor,
            original_after_anchor=finding.after_anchor,
            strategy="paragraph_anchor" if finding.anchor_mode == "paragraph" else "not_resolved",
            confidence=1.0 if finding.anchor_mode == "paragraph" else 0.0,
            was_resolved=finding.anchor_mode == "paragraph",
        ))

    resolved_findings = [r.finding for r in resolution_results]

    ops_path = work_dir / "comment_ops_dryrun1.json"
    report_path = work_dir / "comment_report_dryrun1.json"
    ops_path.write_text(
        json.dumps(_comment_ops(resolved_findings), indent=2, ensure_ascii=False),
        encoding="utf-8",
    )
    
    dry_run_results = _run_docx_commenter(input_docx, output_docx, ops_path, report_path, dry_run=True)
    
    needs_subspan = []
    for res in dry_run_results:
        code = res.get("failure_code")
        if code in ("crosses_complex_container", "no_editable_runs"):
            needs_subspan.append(res.get("id"))
            
    if needs_subspan:
        candidate_ops = []
        candidate_mapping = {}
        
        for r_finding in resolved_findings:
            if r_finding.id in needs_subspan and r_finding.anchor_mode == "exact":
                para_text = para_map.get(r_finding.start_paragraph_id, "")
                if not para_text:
                    continue
                    
                candidates = generate_editable_subspan_candidates(para_text, r_finding.target_text)
                for i, cand in enumerate(candidates):
                    cand_id = f"{r_finding.id}_cand_{i}"
                    candidate_mapping[cand_id] = (r_finding.id, cand)
                    candidate_ops.append({
                        "id": cand_id,
                        "paragraph_id": r_finding.start_paragraph_id,
                        "end_paragraph_id": r_finding.end_paragraph_id,
                        "target_text": cand,
                        "anchor_mode": "exact",
                        "before_anchor": "",
                        "after_anchor": "",
                        "comment": "dry run",
                    })
                    
        if candidate_ops:
            ops_path2 = work_dir / "comment_ops_dryrun2.json"
            report_path2 = work_dir / "comment_report_dryrun2.json"
            ops_path2.write_text(
                json.dumps({"author": "Tabularrr", "comments": candidate_ops}, indent=2, ensure_ascii=False),
                encoding="utf-8",
            )
            dry_run_results2 = _run_docx_commenter(input_docx, output_docx, ops_path2, report_path2, dry_run=True)
            
            successful_candidates = {}
            for res in dry_run_results2:
                if res.get("status") == "applied" or res.get("failure_code") == "editable":
                    cand_id = res.get("id")
                    if cand_id in candidate_mapping:
                        finding_id, cand_text = candidate_mapping[cand_id]
                        if finding_id not in successful_candidates:
                            successful_candidates[finding_id] = cand_text
                            
            for r in resolution_results:
                if r.finding.id in successful_candidates:
                    r.finding = r.finding.model_copy(update={
                        "target_text": successful_candidates[r.finding.id],
                        "before_anchor": "",
                        "after_anchor": "",
                    })
                    r.strategy = "editable_subspan"
                    r.was_resolved = True

    resolved_findings = [r.finding for r in resolution_results]

    resolution_map: dict[str, dict] = {}
    for r in resolution_results:
        if r.was_resolved or r.strategy in ("editable_subspan", "paragraph_anchor"):
            resolution_map[r.finding.id] = {
                "original_target_text": r.original_target_text[:200],
                "resolved_target_text": r.finding.target_text[:200],
                "strategy": r.strategy,
                "confidence": r.confidence,
            }

    ops_path = work_dir / "comment_ops.json"
    report_path = work_dir / "comment_report.json"
    ops_path.write_text(
        json.dumps(_comment_ops(resolved_findings), indent=2, ensure_ascii=False),
        encoding="utf-8",
    )

    raw_results = _run_docx_commenter(input_docx, output_docx, ops_path, report_path, dry_run=False)

    if not track_changes:
        try:
            before_hash = get_strict_invariant_hash(input_docx)
            after_hash = get_strict_invariant_hash(output_docx)
            
            if before_hash != after_hash:
                before = normalize_visible_text(input_docx)
                after = normalize_visible_text(output_docx)
                
                error_msg = "SAFETY VIOLATION: Document body text or structure was modified during a comments-only review."
                
                for i in range(min(len(before.paragraphs), len(after.paragraphs))):
                    b = before.paragraphs[i]
                    a = after.paragraphs[i]
                    if b.text != a.text:
                        error_msg += f"\n- Mismatch at {b.id}:\n  EXPECTED: \"{b.text}\"\n  ACTUAL:   \"{a.text}\""
                        break
                
                if len(before.paragraphs) != len(after.paragraphs):
                    error_msg += f"\n- Paragraph count changed: {len(before.paragraphs)} -> {len(after.paragraphs)}"
                elif before_hash != after_hash and before.text_hash == after.text_hash:
                    error_msg += "\n- Structural/Invisible change detected: Tracked changes, tables, or formatting were modified even though visible paragraph text remains the same."

                error_msg += "\n\nREASON: 'Comments-only' mode strictly forbids ANY document modifications (body text, tables, redlines, etc). You must ONLY add comments."
                error_msg += "\nACTION: If you intended to suggest a change, put it in the 'comment' field. Do not attempt to edit the contract text."
                
                raise HTTPException(status_code=422, detail=error_msg)
        except Exception as e:
            if isinstance(e, HTTPException):
                raise e
            raise HTTPException(status_code=500, detail=f"Invariant check failed: {str(e)}")

    return [
        ApplyResult(
            id=item.get("id", ""),
            status=item.get("status", "not_applied"),
            message=item.get("message", ""),
            paragraph_id=item.get("paragraph_id"),
            match_count=item.get("match_count", 0),
            failure_code=item.get("failure_code"),
            model_block_id=item.get("model_block_id"),
            writer_paragraph_id=item.get("writer_paragraph_id"),
            native_para_id=item.get("native_para_id"),
            stable_id=item.get("stable_id"),
            xml_path=item.get("xml_path"),
            comment_key=item.get("comment_key"),
            expected_text_hash=item.get("expected_text_hash"),
            actual_text_hash=item.get("actual_text_hash"),
            original_target_text=resolution_map.get(item.get("id", ""), {}).get("original_target_text"),
            resolved_target_text=resolution_map.get(item.get("id", ""), {}).get("resolved_target_text"),
            resolve_strategy=_build_strategy(item, resolution_map),
            resolve_confidence=_build_confidence(item, resolution_map),
        )
        for item in raw_results
    ]


def _build_strategy(item: dict, resolution_map: dict) -> ResolveStrategy | None:
    fid = item.get("id", "")
    entry = resolution_map.get(fid)
    if entry:
        return entry.get("strategy", "whitespace_normalized")
    if item.get("status") == "applied":
        return "exact"
    return "not_resolved"


def _build_confidence(item: dict, resolution_map: dict) -> float | None:
    fid = item.get("id", "")
    entry = resolution_map.get(fid)
    if entry:
        if item.get("status") == "applied":
            return entry.get("confidence", 0.95)
        return 0.0
    if item.get("status") == "applied":
        return 1.0
    return None