"""
IO Contract — typed schemas for the MOD-OSINT engine.

Every pipeline module must accept ``EngineInput`` and return ``EngineOutput``.
The engine orchestrator builds ``RunContext`` which carries paths and DB handles.
"""

from __future__ import annotations

import uuid
from datetime import datetime, timezone
from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional

from pydantic import BaseModel, Field


# ---------------------------------------------------------------------------
# Enums
# ---------------------------------------------------------------------------

class FileType(str, Enum):
    CSV = "csv"
    JSON = "json"
    TXT = "txt"
    HTML = "html"
    LOG = "log"
    UNKNOWN = "unknown"


class StageStatus(str, Enum):
    PENDING = "pending"
    RUNNING = "running"
    SUCCESS = "success"
    FAILED = "failed"
    SKIPPED = "skipped"


# ---------------------------------------------------------------------------
# Input specs
# ---------------------------------------------------------------------------

class InputFile(BaseModel):
    """Descriptor for a single ingested file."""
    path: Path
    file_type: FileType = FileType.UNKNOWN
    size_bytes: int = 0
    sha256: str = ""


class InputSpec(BaseModel):
    """Describes the full set of input data for a pipeline run."""
    input_dir: Path
    files: List[InputFile] = Field(default_factory=list)


# ---------------------------------------------------------------------------
# Normalized records
# ---------------------------------------------------------------------------

class NormalizedRecord(BaseModel):
    """
    Canonical record produced by the normalization stage.

    Every record gets a deterministic ``row_id`` and optional entity-linking
    keys so downstream modules can join/correlate across sources.
    """
    row_id: str = Field(default_factory=lambda: uuid.uuid4().hex[:12])
    source_file: str = ""
    source_type: FileType = FileType.UNKNOWN
    timestamp: Optional[datetime] = None
    entity_name: Optional[str] = None
    entity_phone: Optional[str] = None
    entity_email: Optional[str] = None
    entity_ip: Optional[str] = None
    entity_domain: Optional[str] = None
    entity_hash: Optional[str] = None
    raw_text: str = ""
    extra: Dict[str, Any] = Field(default_factory=dict)


# ---------------------------------------------------------------------------
# Artifacts
# ---------------------------------------------------------------------------

class Artifact(BaseModel):
    """A single output artifact produced by a module."""
    name: str
    path: Path
    mime_type: str = "application/octet-stream"
    description: str = ""


# ---------------------------------------------------------------------------
# Engine IO (module contract)
# ---------------------------------------------------------------------------

class EngineInput(BaseModel):
    """
    Standard input passed to every pipeline module's ``run()`` function.

    Modules receive the normalized records from prior stages plus the
    run context (paths, config).
    """
    run_id: str = Field(default_factory=lambda: datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") + "_" + uuid.uuid4().hex[:6])
    input_spec: InputSpec
    records: List[NormalizedRecord] = Field(default_factory=list)
    config: Dict[str, Any] = Field(default_factory=dict)
    run_dir: Path = Path("runs/default")
    previous_artifacts: List[Artifact] = Field(default_factory=list)


class EngineOutput(BaseModel):
    """
    Standard output returned by every pipeline module's ``run()`` function.
    """
    stage: str
    status: StageStatus = StageStatus.SUCCESS
    records: List[NormalizedRecord] = Field(default_factory=list)
    artifacts: List[Artifact] = Field(default_factory=list)
    summary: str = ""
    error: Optional[str] = None
    metadata: Dict[str, Any] = Field(default_factory=dict)


# ---------------------------------------------------------------------------
# Run context (internal, built by orchestrator)
# ---------------------------------------------------------------------------

class RunContext(BaseModel):
    """
    Internal context object built by the orchestrator for a single run.
    Carries the run directory, DB path, and accumulated state.
    """
    run_id: str
    run_dir: Path
    db_path: Path
    input_spec: InputSpec
    config: Dict[str, Any] = Field(default_factory=dict)
    stage_results: Dict[str, EngineOutput] = Field(default_factory=dict)

    class Config:
        arbitrary_types_allowed = True