"""
FastAPI backend for human assessment of creative ideas.
"""

import json
from datetime import datetime
from pathlib import Path
from typing import Any

from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware

try:
    from . import database as db
    from .models import (
        DIMENSION_DEFINITIONS,
        ExportData,
        ExportRating,
        IdeaForRating,
        Progress,
        QueryInfo,
        QueryWithIdeas,
        Rater,
        RaterCreate,
        RaterProgress,
        Rating,
        RatingSubmit,
        Statistics,
    )
except ImportError:
    import database as db
    from models import (
        DIMENSION_DEFINITIONS,
        ExportData,
        ExportRating,
        IdeaForRating,
        Progress,
        QueryInfo,
        QueryWithIdeas,
        Rater,
        RaterCreate,
        RaterProgress,
        Rating,
        RatingSubmit,
        Statistics,
    )


# Load assessment data
DATA_PATH = Path(__file__).parent.parent / 'data' / 'assessment_items.json'


def load_assessment_data() -> dict[str, Any]:
    """Load the assessment items data."""
    if not DATA_PATH.exists():
        raise RuntimeError(f"Assessment data not found at {DATA_PATH}. Run prepare_data.py first.")
    with open(DATA_PATH, 'r', encoding='utf-8') as f:
        return json.load(f)


# Initialize FastAPI app
app = FastAPI(
    title="Creative Idea Assessment API",
    description="API for human assessment of creative ideas using Torrance-inspired metrics",
    version="1.0.0"
)

# CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


# Cache for assessment data
_assessment_data: dict[str, Any] | None = None


def get_assessment_data() -> dict[str, Any]:
    """Get cached assessment data."""
    global _assessment_data
    if _assessment_data is None:
        _assessment_data = load_assessment_data()
    return _assessment_data


# Rater endpoints
@app.get("/api/raters", response_model=list[Rater])
def list_raters() -> list[dict[str, Any]]:
    """List all registered raters."""
    return db.list_raters()


@app.post("/api/raters", response_model=Rater)
def create_or_get_rater(rater_data: RaterCreate) -> dict[str, Any]:
    """Register a new rater or get existing one."""
    return db.create_rater(rater_data.rater_id, rater_data.name)


@app.get("/api/raters/{rater_id}", response_model=Rater)
def get_rater(rater_id: str) -> dict[str, Any]:
    """Get a specific rater."""
    rater = db.get_rater(rater_id)
    if not rater:
        raise HTTPException(status_code=404, detail="Rater not found")
    return rater


# Query endpoints
@app.get("/api/queries", response_model=list[QueryInfo])
def list_queries() -> list[dict[str, Any]]:
    """List all queries available for assessment."""
    data = get_assessment_data()
    return [
        {
            'query_id': q['query_id'],
            'query_text': q['query_text'],
            'category': q.get('category', ''),
            'idea_count': q['idea_count']
        }
        for q in data['queries']
    ]


@app.get("/api/queries/{query_id}", response_model=QueryWithIdeas)
def get_query_with_ideas(query_id: str) -> dict[str, Any]:
    """Get a query with all its ideas for rating (without hidden metadata)."""
    data = get_assessment_data()

    for query in data['queries']:
        if query['query_id'] == query_id:
            ideas = [
                IdeaForRating(
                    idea_id=idea['idea_id'],
                    text=idea['text'],
                    index=idx
                )
                for idx, idea in enumerate(query['ideas'])
            ]
            return QueryWithIdeas(
                query_id=query['query_id'],
                query_text=query['query_text'],
                category=query.get('category', ''),
                ideas=ideas,
                total_count=len(ideas)
            )

    raise HTTPException(status_code=404, detail="Query not found")


@app.get("/api/queries/{query_id}/unrated", response_model=QueryWithIdeas)
def get_unrated_ideas(query_id: str, rater_id: str) -> dict[str, Any]:
    """Get unrated ideas for a query by a specific rater."""
    data = get_assessment_data()

    for query in data['queries']:
        if query['query_id'] == query_id:
            # Get already rated idea IDs
            rated_ids = db.get_rated_idea_ids(rater_id, query_id)

            # Filter to unrated ideas
            unrated_ideas = [
                IdeaForRating(
                    idea_id=idea['idea_id'],
                    text=idea['text'],
                    index=idx
                )
                for idx, idea in enumerate(query['ideas'])
                if idea['idea_id'] not in rated_ids
            ]

            return QueryWithIdeas(
                query_id=query['query_id'],
                query_text=query['query_text'],
                category=query.get('category', ''),
                ideas=unrated_ideas,
                total_count=query['idea_count']
            )

    raise HTTPException(status_code=404, detail="Query not found")


# Rating endpoints
@app.post("/api/ratings", response_model=dict[str, Any])
def submit_rating(rating: RatingSubmit) -> dict[str, Any]:
    """Submit a rating for an idea."""
    # Validate that rater exists
    rater = db.get_rater(rating.rater_id)
    if not rater:
        raise HTTPException(status_code=404, detail="Rater not found. Please register first.")

    # Validate idea exists
    data = get_assessment_data()
    idea_found = False
    for query in data['queries']:
        for idea in query['ideas']:
            if idea['idea_id'] == rating.idea_id:
                idea_found = True
                break
        if idea_found:
            break

    if not idea_found:
        raise HTTPException(status_code=404, detail="Idea not found")

    # If not skipped, require all ratings
    if not rating.skipped:
        if rating.originality is None or rating.elaboration is None or rating.coherence is None or rating.usefulness is None:
            raise HTTPException(
                status_code=400,
                detail="All dimensions must be rated unless skipping"
            )

    # Save rating
    return db.save_rating(
        rater_id=rating.rater_id,
        idea_id=rating.idea_id,
        query_id=rating.query_id,
        originality=rating.originality,
        elaboration=rating.elaboration,
        coherence=rating.coherence,
        usefulness=rating.usefulness,
        skipped=rating.skipped
    )


@app.get("/api/ratings/{rater_id}/{idea_id}", response_model=Rating | None)
def get_rating(rater_id: str, idea_id: str) -> dict[str, Any] | None:
    """Get a specific rating."""
    return db.get_rating(rater_id, idea_id)


@app.get("/api/ratings/rater/{rater_id}", response_model=list[Rating])
def get_ratings_by_rater(rater_id: str) -> list[dict[str, Any]]:
    """Get all ratings by a rater."""
    return db.get_ratings_by_rater(rater_id)


# Progress endpoints
@app.get("/api/progress/{rater_id}", response_model=RaterProgress)
def get_rater_progress(rater_id: str) -> RaterProgress:
    """Get complete progress for a rater."""
    rater = db.get_rater(rater_id)
    if not rater:
        raise HTTPException(status_code=404, detail="Rater not found")

    data = get_assessment_data()

    # Get rated idea counts per query
    ratings = db.get_ratings_by_rater(rater_id)
    ratings_per_query: dict[str, int] = {}
    for r in ratings:
        qid = r['query_id']
        ratings_per_query[qid] = ratings_per_query.get(qid, 0) + 1

    # Build progress list
    query_progress = []
    total_completed = 0
    total_ideas = 0

    for query in data['queries']:
        qid = query['query_id']
        completed = ratings_per_query.get(qid, 0)
        total = query['idea_count']

        query_progress.append(Progress(
            rater_id=rater_id,
            query_id=qid,
            completed_count=completed,
            total_count=total
        ))

        total_completed += completed
        total_ideas += total

    percentage = (total_completed / total_ideas * 100) if total_ideas > 0 else 0

    return RaterProgress(
        rater_id=rater_id,
        queries=query_progress,
        total_completed=total_completed,
        total_ideas=total_ideas,
        percentage=round(percentage, 1)
    )


# Statistics endpoint
@app.get("/api/statistics", response_model=Statistics)
def get_statistics() -> Statistics:
    """Get overall assessment statistics."""
    stats = db.get_statistics()
    return Statistics(**stats)


# Dimension definitions endpoint
@app.get("/api/dimensions")
def get_dimensions() -> dict[str, Any]:
    """Get dimension definitions for the UI."""
    return DIMENSION_DEFINITIONS


# Export endpoint
@app.get("/api/export", response_model=ExportData)
def export_ratings() -> ExportData:
    """Export all ratings with hidden metadata for analysis."""
    data = get_assessment_data()
    all_ratings = db.get_all_ratings()

    # Build idea lookup with hidden metadata
    idea_lookup: dict[str, dict[str, Any]] = {}
    query_lookup: dict[str, str] = {}

    for query in data['queries']:
        query_lookup[query['query_id']] = query['query_text']
        for idea in query['ideas']:
            idea_lookup[idea['idea_id']] = {
                'text': idea['text'],
                'condition': idea['_hidden']['condition'],
                'expert_name': idea['_hidden']['expert_name'],
                'keyword': idea['_hidden']['keyword']
            }

    # Build export ratings
    export_ratings = []
    for r in all_ratings:
        idea_data = idea_lookup.get(r['idea_id'], {})
        export_ratings.append(ExportRating(
            rater_id=r['rater_id'],
            idea_id=r['idea_id'],
            query_id=r['query_id'],
            query_text=query_lookup.get(r['query_id'], ''),
            idea_text=idea_data.get('text', ''),
            originality=r['originality'],
            elaboration=r['elaboration'],
            coherence=r['coherence'],
            usefulness=r['usefulness'],
            skipped=bool(r['skipped']),
            condition=idea_data.get('condition', ''),
            expert_name=idea_data.get('expert_name', ''),
            keyword=idea_data.get('keyword', ''),
            timestamp=r['timestamp']
        ))

    return ExportData(
        experiment_id=data['experiment_id'],
        export_timestamp=datetime.utcnow(),
        rater_count=len(db.list_raters()),
        rating_count=len(export_ratings),
        ratings=export_ratings
    )


# Health check
@app.get("/api/health")
def health_check() -> dict[str, str]:
    """Health check endpoint."""
    return {"status": "healthy"}


# Info endpoint
@app.get("/api/info")
def get_info() -> dict[str, Any]:
    """Get assessment session info."""
    data = get_assessment_data()
    return {
        'experiment_id': data['experiment_id'],
        'total_ideas': data['total_ideas'],
        'query_count': data['query_count'],
        'conditions': data['conditions'],
        'randomization_seed': data['randomization_seed']
    }