"""Scaffold generator for new Universal Gear plugins."""

from __future__ import annotations

from pathlib import Path

PLUGIN_BASE = Path("src/universal_gear/plugins")
TEST_BASE = Path("tests")


def generate_plugin(name: str) -> list[Path]:
    """Generate a complete plugin scaffold and return the list of created files."""
    plugin_dir = PLUGIN_BASE / name
    if plugin_dir.exists():
        msg = f"Plugin directory already exists: {plugin_dir}"
        raise FileExistsError(msg)

    plugin_dir.mkdir(parents=True)

    created: list[Path] = []

    templates: list[tuple[str, str]] = [
        ("__init__.py", _init_template()),
        ("config.py", _config_template(name)),
        ("collector.py", _collector_template(name)),
        ("processor.py", _processor_template(name)),
        ("analyzer.py", _analyzer_template(name)),
        ("model.py", _model_template(name)),
        ("action.py", _action_template(name)),
        ("monitor.py", _monitor_template(name)),
    ]

    for filename, content in templates:
        path = plugin_dir / filename
        path.write_text(content, encoding="utf-8")
        created.append(path)

    test_path = TEST_BASE / f"test_{name}_plugin.py"
    test_path.write_text(_test_template(name), encoding="utf-8")
    created.append(test_path)

    return created


def _title(name: str) -> str:
    return name.replace("_", " ").title().replace(" ", "")


def _init_template() -> str:
    return ""


def _config_template(name: str) -> str:
    cls = f"{_title(name)}Config"
    return f'''\
"""Configuration for the {name} domain plugin."""

from __future__ import annotations

from pydantic import BaseModel, Field


class {cls}(BaseModel):
    """Shared configuration for all {name} pipeline stages."""

    domain: str = "{name}"
    # TODO: add domain-specific configuration fields
'''


def _collector_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    cls = f"{title}Collector"
    return f'''\
"""{title} collector — fetches raw data for the {name} domain."""

from __future__ import annotations

import structlog

from universal_gear.core.contracts import (
    CollectionResult,
    DataQualityReport,
    RawEvent,
    SourceMeta,
    SourceReliability,
    SourceType,
)
from universal_gear.core.interfaces import BaseCollector
from universal_gear.core.registry import register_collector

from .config import {config_cls}

logger = structlog.get_logger()


@register_collector("{name}")
class {cls}(BaseCollector[{config_cls}]):
    """{title} data collector."""

    async def collect(self) -> CollectionResult:
        # TODO: implement data collection
        source = SourceMeta(
            source_id="{name}-source",
            source_type=SourceType.API,
            url_or_path="https://example.com",
            reliability=SourceReliability.HIGH,
        )

        events: list[RawEvent] = []

        quality_report = DataQualityReport(
            source=source,
            total_records=len(events),
            valid_records=len(events),
            reliability_score=1.0 if events else 0.0,
        )

        return CollectionResult(events=events, quality_report=quality_report)
'''


def _processor_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    cls = f"{title}Processor"
    return f'''\
"""{title} processor — normalizes and compresses raw events."""

from __future__ import annotations

import structlog

from universal_gear.core.contracts import (
    CollectionResult,
    CompressionResult,
)
from universal_gear.core.interfaces import BaseProcessor
from universal_gear.core.registry import register_processor

from .config import {config_cls}

logger = structlog.get_logger()


@register_processor("{name}")
class {cls}(BaseProcessor[{config_cls}]):
    """{title} data processor."""

    async def process(self, collection: CollectionResult) -> CompressionResult:
        # TODO: implement normalization and temporal aggregation
        return CompressionResult(
            states=[],
            records_consumed=len(collection.events),
            records_produced=0,
        )
'''


def _analyzer_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    cls = f"{title}Analyzer"
    return f'''\
"""{title} analyzer — generates hypotheses from compressed states."""

from __future__ import annotations

import structlog

from universal_gear.core.contracts import (
    CompressionResult,
    HypothesisResult,
)
from universal_gear.core.interfaces import BaseAnalyzer
from universal_gear.core.registry import register_analyzer

from .config import {config_cls}

logger = structlog.get_logger()


@register_analyzer("{name}")
class {cls}(BaseAnalyzer[{config_cls}]):
    """{title} hypothesis generator."""

    async def analyze(self, compression: CompressionResult) -> HypothesisResult:
        # TODO: implement anomaly detection and hypothesis generation
        return HypothesisResult(
            hypotheses=[],
            states_analyzed=len(compression.states),
        )
'''


def _model_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}ModelConfig"
    cls = f"{title}ScenarioEngine"
    return f'''\
"""{title} scenario engine — projects conditional scenarios."""

from __future__ import annotations

import structlog
from pydantic import BaseModel

from universal_gear.core.contracts import (
    HypothesisResult,
    SimulationResult,
)
from universal_gear.core.interfaces import BaseSimulator
from universal_gear.core.registry import register_model

logger = structlog.get_logger()


class {config_cls}(BaseModel):
    """Configuration for {name} scenario generation."""

    domain: str = "{name}"
    # TODO: add scenario configuration fields


@register_model("{name}")
class {cls}(BaseSimulator[{config_cls}]):
    """{title} scenario generator."""

    async def simulate(self, hypotheses: HypothesisResult) -> SimulationResult:
        # TODO: implement scenario generation (minimum 2 scenarios required)
        raise NotImplementedError("Implement scenario generation")
'''


def _action_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    cls = f"{title}ActionEmitter"
    return f'''\
"""{title} action emitter — produces structured decisions."""

from __future__ import annotations

import structlog

from universal_gear.core.contracts import (
    DecisionResult,
    SimulationResult,
)
from universal_gear.core.interfaces import BaseDecider
from universal_gear.core.registry import register_action

from .config import {config_cls}

logger = structlog.get_logger()


@register_action("{name}")
class {cls}(BaseDecider[{config_cls}]):
    """{title} decision emitter."""

    async def decide(self, simulation: SimulationResult) -> DecisionResult:
        # TODO: implement decision logic based on simulation scenarios
        return DecisionResult(decisions=[])
'''


def _monitor_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    cls = f"{title}Monitor"
    return f'''\
"""{title} monitor — evaluates past decisions and tracks drift."""

from __future__ import annotations

import structlog

from universal_gear.core.contracts import (
    DecisionResult,
    FeedbackResult,
)
from universal_gear.core.interfaces import BaseMonitor
from universal_gear.core.registry import register_monitor

from .config import {config_cls}

logger = structlog.get_logger()


@register_monitor("{name}")
class {cls}(BaseMonitor[{config_cls}]):
    """{title} feedback monitor."""

    async def evaluate(self, decision: DecisionResult) -> FeedbackResult:
        # TODO: implement decision evaluation and scorecard generation
        return FeedbackResult(
            scorecards=[],
            sources_updated=0,
            thresholds_adjusted=0,
        )
'''


def _test_template(name: str) -> str:
    title = _title(name)
    config_cls = f"{title}Config"
    return f'''\
"""Tests for the {name} plugin."""

from __future__ import annotations

import pytest

from universal_gear.plugins.{name}.config import {config_cls}


@pytest.mark.offline
class Test{title}Config:
    def test_default_domain(self):
        config = {config_cls}()
        assert config.domain == "{name}"

    # TODO: add config validation tests


# TODO: add tests for each stage
# Follow the pattern in test_agro_plugin.py:
#   - TestCollector: test collect returns events, handles errors
#   - TestProcessor: test process produces market states
#   - TestAnalyzer: test analyze generates hypotheses
#   - TestModel: test simulate produces scenarios
#   - TestAction: test decide produces decisions
#   - TestMonitor: test evaluate produces scorecards
'''
