from __future__ import annotations
import os, logging
from typing import Optional, List, Dict, Any, Tuple
from datetime import datetime
from bson import ObjectId
from pymongo import ASCENDING, DESCENDING

from database.connections import (
    get_video_collection,
    get_script_collection,
    get_results_collection,
    get_image_collection,
)

log = logging.getLogger(__name__)

# ------------------- Index Setup -------------------
def _ensure_results_indexes(col):
    try:
        col.create_index([("created_at", DESCENDING)])
        col.create_index([("type", ASCENDING), ("created_at", DESCENDING)])
        col.create_index([("category", ASCENDING), ("created_at", DESCENDING)])
        col.create_index([("created_by", ASCENDING), ("created_at", DESCENDING)])
    except Exception:
        pass

def _ensure_video_indexes(col):
    try:
        col.create_index([("created_at", DESCENDING)])
        col.create_index([("category", ASCENDING), ("created_at", DESCENDING)])
        col.create_index([("created_by", ASCENDING), ("created_at", DESCENDING)])
    except Exception:
        pass

_rc = get_results_collection()
if _rc is not None:
    _ensure_results_indexes(_rc)

_vc = get_video_collection()
if _vc is not None:
    _ensure_video_indexes(_vc)

_sg = get_script_collection()
if _sg is not None:
    _ensure_video_indexes(_sg)

_ia = get_image_collection()
if _ia is not None:
    _ensure_results_indexes(_ia)

# ------------------- Image Jobs -------------------
def start_job(
    col,
    *,
    type: str,
    created_by: str,
    category: str,
    inputs: Dict[str, Any],
    settings: Dict[str, Any],
    user_prompt: Optional[str] = None,
) -> str:
    now = datetime.utcnow()
    doc: Dict[str, Any] = {
        "type": type,
        "source": "variation" if type == "variation" else "text",
        "category": category or "general",
        "prompt": user_prompt,
        "status": "in_progress",
        "urls": [],
        "inputs": inputs or {},
        "settings": settings or {},
        "created_by": created_by,
        "created_at": now,
    }
    if "file_name" in (inputs or {}):
        doc["file_name"] = inputs["file_name"]

    res = col.insert_one(doc)
    return str(res.inserted_id)

def finish_job(
    col,
    job_id: str,
    *,
    status: str = "completed",
    outputs_urls: Optional[List[str]] = None,
    provider_update: Optional[Dict[str, Any]] = None,
) -> None:
    set_fields: Dict[str, Any] = {"status": status}
    if outputs_urls is not None:
        set_fields["urls"] = list(dict.fromkeys(outputs_urls or []))
    if provider_update:
        for k, v in provider_update.items():
            set_fields[f"provider.{k}"] = v
    try:
        col.update_one({"_id": ObjectId(job_id)}, {"$set": set_fields})
    except Exception as e:
        log.error(f"finish_job update failed: {e}")

# ------------------- Video Analyses -------------------
def insert_video_analysis(
    *,
    video_name: str,
    response: Dict[str, Any],
    category: Optional[str] = None,
    created_by: Optional[str] = None,
    analyzer_model: Optional[str] = None,
    video_meta: Optional[Dict[str, Any]] = None,
    thumbnail: str = "",
) -> Optional[str]:
    col = get_video_collection()
    if col is None:
        return None
    doc: Dict[str, Any] = {
        "category": (category or "general"),
        "video": {"name": video_name, **(video_meta or {})},
        "analyzer_model": analyzer_model or os.getenv("VIDEO_ANALYZER_MODEL", "gemini-2.0-flash"),
        "results": response or {},
        "created_by": created_by,
        "created_at": datetime.utcnow(),
        "thumbnail": thumbnail or "",
    }
    res = col.insert_one(doc)
    return str(res.inserted_id)

def list_video_categories(created_by: Optional[str] = None) -> List[str]:
    col = get_video_collection()
    if col is None:
        return []
    try:
        q = {}
        if created_by:
            q["created_by"] = created_by
        vals = col.distinct("category", q)
        return sorted({v for v in vals if v not in (None, "", [])})
    except Exception:
        return []

def find_video_analyses(
    *,
    category: Optional[str] = None,
    start_date: Optional[datetime] = None,
    end_date: Optional[datetime] = None,
    limit: int = 200,
    created_by: Optional[str] = None,
) -> List[Dict[str, Any]]:
    col = get_video_collection()
    if col is None:
        return []
    q: Dict[str, Any] = {}
    if category:
        q["category"] = category
    if created_by:
        q["created_by"] = created_by
    if start_date or end_date:
        rng: Dict[str, Any] = {}
        if start_date: rng["$gte"] = start_date
        if end_date:   rng["$lt"]  = end_date
        q["created_at"] = rng
    cur = col.find(q).sort("created_at", DESCENDING).limit(max(1, int(limit)))
    out: List[Dict[str, Any]] = []
    for d in cur:
        d["_id"] = str(d.get("_id"))
        out.append(d)
    return out


def insert_image_analysis(
    *,
    image_name: str,
    response: Dict[str, Any],
    category: Optional[str] = None,
    created_by: Optional[str] = None,
    analyzer_model: Optional[str] = None,
    image_meta: Optional[Dict[str, Any]] = None,
    thumbnail: str = "",
) -> Optional[str]:
    col = get_image_collection()
    if col is None:
        raise ValueError("Image collection not available")

    doc: Dict[str, Any] = {
        "type": "image_analysis",
        "source": "image_analyzer",
        "category": category or "general",
        "image": {"name": image_name, **(image_meta or {})},
        "analyzer_model": analyzer_model or "gpt-4o",
        "results": response or {},
        "created_by": created_by,
        "created_at": datetime.utcnow(),
        "thumbnail": thumbnail or "",
    }

    res = col.insert_one(doc)
    return str(res.inserted_id)



def list_image_categories(created_by: Optional[str] = None) -> List[str]:
    col = get_image_collection()
    if col is None:
        return []
    try:
        q = {"type": "image_analysis"}
        if created_by:
            q["created_by"] = created_by
        vals = col.distinct("category", q)
        return sorted({v for v in vals if v not in (None, "", [])})
    except Exception:
        return []


def find_image_analyses(
    *,
    category: Optional[str] = None,
    start_date: Optional[datetime] = None,
    end_date: Optional[datetime] = None,
    limit: int = 200,
    created_by: Optional[str] = None,
) -> List[Dict[str, Any]]:
    col = get_image_collection()
    if col is None:
        return []
    q: Dict[str, Any] = {"type": "image_analysis"}
    if category:
        q["category"] = category
    if created_by:
        q["created_by"] = created_by
    if start_date or end_date:
        rng: Dict[str, Any] = {}
        if start_date:
            rng["$gte"] = start_date
        if end_date:
            rng["$lt"] = end_date
        q["created_at"] = rng

    cur = col.find(q).sort("created_at", DESCENDING).limit(max(1, int(limit)))
    out: List[Dict[str, Any]] = []
    for d in cur:
        d["_id"] = str(d.get("_id"))
        out.append(d)
    return out


# ------------------- Generation Jobs -------------------
def find_generation_jobs(
    *,
    category: Optional[str] = None,
    start_date: Optional[datetime] = None,
    end_date: Optional[datetime] = None,
    page: int = 0,
    page_size: int = 20,
    created_by: Optional[str] = None,
) -> Tuple[List[Dict[str, Any]], int]:
    col = get_results_collection()
    if col is None:
        return [], 0
    q: Dict[str, Any] = {"type": "generation", "source": "text"}
    if category:
        q["category"] = category
    if created_by:
        q["created_by"] = created_by
    if start_date or end_date:
        rng: Dict[str, Any] = {}
        if start_date: rng["$gte"] = start_date
        if end_date:   rng["$lt"]  = end_date
        q["created_at"] = rng
    total = col.count_documents(q)
    cur = (
        col.find(q)
        .sort("created_at", DESCENDING)
        .skip(page * page_size)
        .limit(page_size)
    )
    out: List[Dict[str, Any]] = []
    for d in cur:
        d["_id"] = str(d.get("_id"))
        out.append(d)
    return out, int(total)

# ------------------- Script Results -------------------
def insert_script_result(
    *,
    video_name: str,
    offer_details: str,
    target_audience: str,
    specific_hook: str,
    additional_context: str,
    response: List[Dict[str, Any]],
    thumbnail: str = "",
    created_by: Optional[str] = None,
    num_scripts: Optional[int] = None,
    category: Optional[str] = None,
) -> None:
    col = get_script_collection()
    if col is None:
        raise ValueError("Script collection not available.")
    doc: Dict[str, Any] = {
        "type": "script",
        "source": "script_generator",
        "video_name": video_name,
        "category": category or "general",
        "offer_details": offer_details,
        "target_audience": target_audience,
        "specific_hook": specific_hook,
        "additional_context": additional_context,
        "response": response,
        "thumbnail": thumbnail,
        "created_by": created_by,
        "num_scripts": num_scripts,
        "created_at": datetime.utcnow(),
    }
    try:
        col.insert_one(doc)
    except Exception as e:
        raise ValueError(f"Failed to insert script result: {e}")

def find_script_results(
    *,
    start_date: Optional[datetime] = None,
    end_date: Optional[datetime] = None,
    page: int = 0,
    page_size: int = 20,
    created_by: Optional[str] = None,
    video_name_query: Optional[str] = None,
) -> Tuple[List[Dict[str, Any]], int]:
    col = get_script_collection()
    if col is None:
        return [], 0
    q: Dict[str, Any] = {"type": "script", "source": "script_generator"}
    if start_date or end_date:
        rng: Dict[str, Any] = {}
        if start_date: rng["$gte"] = start_date
        if end_date:   rng["$lt"]  = end_date
        q["created_at"] = rng
    if created_by:
        q["created_by"] = created_by
    if video_name_query:
        q["video_name"] = {"$regex": video_name_query, "$options": "i"}
    total = col.count_documents(q)
    cur = (
        col.find(q)
        .sort("created_at", DESCENDING)
        .skip(page * page_size)
        .limit(page_size)
    )
    out: List[Dict[str, Any]] = []
    for d in cur:
        d["_id"] = str(d.get("_id"))
        out.append(d)
    return out, int(total)