from __future__ import annotations

import os
import re
import time
import uuid
from concurrent.futures import ThreadPoolExecutor
from dataclasses import asdict, dataclass, field
from threading import Lock
from typing import Any

from fastapi import Depends, FastAPI, Header, HTTPException
from pydantic import BaseModel, Field

from .backends import FoldingBackend, FoldOutput, make_backend


PROTEIN_RE = re.compile(r"^[ACDEFGHIKLMNPQRSTVWYXBZUOJ]+$", re.IGNORECASE)
MAX_PROTEIN_AA = int(os.getenv("MAX_PROTEIN_AA", "400"))
API_TOKEN = os.getenv("FOLD_API_TOKEN", "").strip()


class Entity(BaseModel):
    id: str = Field(min_length=1, max_length=32)
    type: str
    sequence: str


class JobRequest(BaseModel):
    tool_id: str
    entities: list[Entity]
    options: dict[str, Any] = Field(default_factory=dict)
    client_metadata: dict[str, Any] = Field(default_factory=dict)


@dataclass
class JobState:
    job_id: str
    tool_id: str
    status: str
    created_at: float
    updated_at: float
    progress: float = 0.0
    result: dict[str, Any] | None = None
    error: str | None = None

    def public(self) -> dict[str, Any]:
        payload = asdict(self)
        payload.pop("created_at", None)
        payload.pop("updated_at", None)
        return payload


@dataclass
class RuntimeState:
    backend: FoldingBackend = field(default_factory=make_backend)
    jobs: dict[str, JobState] = field(default_factory=dict)
    lock: Lock = field(default_factory=Lock)
    executor: ThreadPoolExecutor = field(default_factory=lambda: ThreadPoolExecutor(max_workers=1))


state = RuntimeState()
app = FastAPI(title="Carbon Protein Folding API", version="0.1.0")


def require_auth(authorization: str | None = Header(default=None)) -> None:
    if not API_TOKEN:
        return
    expected = f"Bearer {API_TOKEN}"
    if authorization != expected:
        raise HTTPException(status_code=401, detail="invalid or missing bearer token")


def validate_request(payload: JobRequest) -> str:
    if payload.tool_id != "esmfold":
        raise HTTPException(status_code=400, detail="only tool_id 'esmfold' is supported")
    if len(payload.entities) != 1:
        raise HTTPException(status_code=400, detail="exactly one protein entity is supported")

    entity = payload.entities[0]
    if entity.type.lower() != "protein":
        raise HTTPException(status_code=400, detail="entity type must be 'protein'")

    sequence = re.sub(r"\s+", "", entity.sequence).upper().replace("*", "")
    if not sequence:
        raise HTTPException(status_code=400, detail="protein sequence is empty")
    if len(sequence) > MAX_PROTEIN_AA:
        raise HTTPException(status_code=400, detail=f"protein sequence exceeds {MAX_PROTEIN_AA} aa")
    if not PROTEIN_RE.match(sequence):
        raise HTTPException(status_code=400, detail="protein sequence contains unsupported characters")
    return sequence


@app.get("/health")
def health() -> dict[str, Any]:
    return {
        "ok": True,
        "backend": os.getenv("FOLD_BACKEND", "esmfold"),
        "max_protein_aa": MAX_PROTEIN_AA,
        "jobs": len(state.jobs),
    }


@app.get("/tools")
def tools(_: None = Depends(require_auth)) -> dict[str, Any]:
    return {
        "tools": [
            {
                "id": "esmfold",
                "name": "ESMFold",
                "status": "live",
                "input_types": ["protein"],
                "max_protein_aa": MAX_PROTEIN_AA,
                "output_formats": ["pdb"],
                "options": {
                    "seed": {"type": "integer", "supported": False},
                    "num_recycles": {"type": "integer", "supported": False},
                    "msa_mode": {"type": "string", "value": "none"},
                },
            }
        ]
    }


@app.post("/jobs")
def create_job(payload: JobRequest, _: None = Depends(require_auth)) -> dict[str, str]:
    sequence = validate_request(payload)
    job_id = uuid.uuid4().hex
    now = time.time()
    job = JobState(
        job_id=job_id,
        tool_id=payload.tool_id,
        status="queued",
        created_at=now,
        updated_at=now,
    )
    with state.lock:
        state.jobs[job_id] = job
    state.executor.submit(run_job, job_id, sequence, payload.options)
    return {"job_id": job_id, "status": "queued"}


@app.get("/jobs/{job_id}")
def get_job(job_id: str, _: None = Depends(require_auth)) -> dict[str, Any]:
    with state.lock:
        job = state.jobs.get(job_id)
        if job is None:
            raise HTTPException(status_code=404, detail="unknown job_id")
        return job.public()


def run_job(job_id: str, sequence: str, options: dict[str, Any]) -> None:
    _update_job(job_id, status="running", progress=0.05)
    try:
        output = state.backend.fold(sequence, options)
        _update_job(
            job_id,
            status="succeeded",
            progress=1.0,
            result=_result_payload(output),
            error=None,
        )
    except Exception as exc:  # noqa: BLE001 - API should preserve job failure details.
        _update_job(job_id, status="failed", progress=1.0, error=str(exc), result=None)


def _update_job(
    job_id: str,
    *,
    status: str,
    progress: float,
    result: dict[str, Any] | None = None,
    error: str | None = None,
) -> None:
    with state.lock:
        job = state.jobs[job_id]
        job.status = status
        job.progress = progress
        job.updated_at = time.time()
        if result is not None:
            job.result = result
        if error is not None:
            job.error = error


def _result_payload(output: FoldOutput) -> dict[str, Any]:
    return {
        "structures": [
            {
                "format": "pdb",
                "content": output.pdb,
                "confidence": output.confidence,
            }
        ],
        "metrics": output.metrics,
        "warnings": output.warnings,
    }