from __future__ import annotations

from pathlib import Path
from typing import Any

from module_runner import run_registry
from trial_profile import normalize_trial


DEFAULT_PROJECT_ROOT = Path(__file__).resolve().parents[1]


def build_report(raw_form: dict[str, Any], project_root: Path | None = None) -> dict[str, Any]:
    profile = normalize_trial(raw_form)
    validation = profile["validation"]

    if validation["errors"]:
        return {
            "ok": False,
            "trial_feature_profile": profile,
            "modules": {},
            "final_output": {
                "status": "needs_input",
                "message": "Complete required fields before running the evidence summary.",
                "plain_language": [
                    "The protocol entry is incomplete.",
                    "Fix the required fields shown in validation errors, then run the report again.",
                ],
            },
        }

    root = _resolve_project_root(project_root)
    bundle = run_registry(profile, root)
    modules = bundle["modules"]
    capabilities = bundle["capabilities"]
    pipeline = bundle["pipeline"]

    evidence = modules["historical_comparator"]["result"]
    final_output = _final_output(profile, modules, capabilities, pipeline)

    return {
        "ok": True,
        "trial_feature_profile": profile,
        "modules": modules,
        "historical_evidence": evidence,
        "final_output": final_output,
    }


def _resolve_project_root(project_root: Path | None) -> Path:
    if project_root is None:
        return DEFAULT_PROJECT_ROOT

    resolved = project_root.resolve()
    if resolved.is_file() or resolved.suffix.lower() == ".zip":
        return resolved.parent
    return resolved


def _final_output(
    profile: dict[str, Any],
    modules: dict[str, Any],
    capabilities: dict[str, Any],
    pipeline: dict[str, Any],
) -> dict[str, Any]:
    evidence = modules["historical_comparator"]["result"]
    comparison = evidence["comparison"]
    summary = evidence["summary"]
    completeness = modules["protocol_completeness"]["result"]
    outlook = capabilities.get("publication_outlook", {})
    narrative = capabilities.get("narrative_summary", {})
    title = profile.get("brief_title") or "Untitled trial"

    module_statuses = {
        name: {
            "status": module.get("status"),
            "language": module.get("language"),
            "selection": module.get("selection"),
            "capability": module.get("capability"),
            "provenance": module.get("provenance"),
            "reason": module.get("reason"),
            "description": module.get("description"),
        }
        for name, module in modules.items()
    }

    review_flags = comparison["flags"]
    display_flags = review_flags or ["No major review flags from this simple comparator pass."]

    return {
        "title": title,
        "review_priority": comparison["review_priority"],
        "takeaway": narrative.get("takeaway", ""),
        "summary": narrative.get("summary", []),
        "summary_source": narrative.get("source", "template"),
        "summary_warning": narrative.get("warning"),
        "headline": _headline(profile, evidence, outlook, completeness, comparison),
        "actions": narrative.get("actions") or _actions(review_flags, completeness),
        "key_numbers": {
            "planned_enrollment": profile.get("enrollment"),
            "comparator_median_enrollment": summary["median_enrollment"],
            "planned_facilities": profile.get("number_of_facilities"),
            "comparator_median_facilities": summary["median_facilities"],
            "planned_arms": profile.get("number_of_arms"),
            "comparator_median_arms": summary["median_arms"],
            "planned_primary_outcomes": profile.get("number_of_primary_outcomes"),
            "comparator_median_primary_outcomes": summary["median_primary_outcomes"],
            "planned_secondary_outcomes": profile.get("number_of_secondary_outcomes"),
            "comparator_median_secondary_outcomes": summary["median_secondary_outcomes"],
            "comparator_publication_rate": summary["publication_rate"],
            "comparator_results_reported_rate": summary["results_reported_rate"],
            "comparator_median_time_to_publication_days": summary["median_time_to_publication_days"],
        },
        "review_flags": display_flags,
        "module_statuses": module_statuses,
        "pipeline": pipeline,
        "plain_language": narrative.get("summary", []),
        "model_status": outlook.get("provenance_detail", comparison["note"]),
    }


def _headline(
    profile: dict[str, Any],
    evidence: dict[str, Any],
    outlook: dict[str, Any],
    completeness: dict[str, Any],
    comparison: dict[str, Any],
) -> list[dict[str, Any]]:
    """The skimmable top-of-report numbers, most decision-relevant first."""
    pub = outlook.get("publication_likelihood")
    results = outlook.get("results_reporting_likelihood")
    priority = comparison["review_priority"]
    priority_tone = {"high": "alert", "focused": "watch", "standard": "good"}.get(priority, "neutral")

    return [
        {
            "label": "Publication likelihood",
            "value": _percent(pub),
            "raw": pub,
            "tone": _rate_tone(pub),
            "provenance": outlook.get("provenance_label", "Historical comparator"),
            "sub": f"among {outlook.get('basis_rows', evidence.get('used_rows'))} comparable trials",
        },
        {
            "label": "Results reporting likelihood",
            "value": _percent(results),
            "raw": results,
            "tone": _rate_tone(results),
            "provenance": outlook.get("provenance_label", "Historical comparator"),
            "sub": "of comparable trials posted results",
        },
        {
            "label": "Review priority",
            "value": priority.title(),
            "raw": priority,
            "tone": priority_tone,
            "provenance": "Design flags",
            "sub": f"{len(comparison['flags'])} flag(s) raised",
        },
        {
            "label": "Protocol completeness",
            "value": _percent(completeness["completion_ratio"]),
            "raw": completeness["completion_ratio"],
            "tone": _rate_tone(completeness["completion_ratio"], good=0.9, watch=0.7),
            "provenance": "Protocol entry",
            "sub": f"{completeness['filled_fields']}/{completeness['total_fields']} fields",
        },
    ]


def _actions(review_flags: list[str], completeness: dict[str, Any]) -> list[dict[str, Any]]:
    """Actionable improvement items, design review first then completeness gaps."""
    actions: list[dict[str, Any]] = [
        {"severity": "review", "text": flag} for flag in review_flags
    ]
    for section in completeness["weakest_sections"]:
        if section["missing"]:
            fields = ", ".join(field.replace("_", " ") for field in section["missing"])
            actions.append(
                {
                    "severity": "completeness",
                    "text": f"Complete the {section['section'].replace('_', ' ')} section — add: {fields}.",
                }
            )
    if not actions:
        actions.append({"severity": "ok", "text": "No design or completeness issues flagged in this pass."})
    return actions


def _rate_tone(value: float | None, good: float = 0.6, watch: float = 0.35) -> str:
    if value is None:
        return "neutral"
    if value >= good:
        return "good"
    if value >= watch:
        return "watch"
    return "alert"


def _percent(value: float | None) -> str:
    if value is None:
        return "NA"
    return f"{round(value * 100)}%"