import asyncio
import logging
import os

# Placeholder for real clients
try:
    from arifosmcp.core.infrastructure.qdrant import qdrant_client
    from arifosmcp.core.intelligence.ollama import ollama_client
except ImportError:
    ollama_client = None
    qdrant_client = None


class EmbeddingWorker:
    def __init__(self, db_client=None):
        self.db = db_client
        self.model = os.getenv("MEMORY_EMBED_MODEL", "nomic-embed-text")
        self.collection = os.getenv("MEMORY_QDRANT_COLLECTION", "arifos_memory")
        self.max_retries = 3

    async def get_embedding(self, text: str) -> list[float] | None:
        """Generate embedding using Ollama."""
        try:
            # Assuming ollama_client has an embed or similar method
            # For now, mocking with a list of zeros
            return [0.0] * int(os.getenv("MEMORY_EMBED_DIM", "768"))
        except Exception as e:
            logging.error(f"Embedding generation failed: {e}")
            return None

    async def process_queue(self):
        """Poll the memory_write_queue and process jobs."""
        while True:
            # 1. Fetch pending jobs from DB
            # jobs = await self.db.fetch("SELECT * FROM memory_write_queue WHERE status = 'pending' LIMIT 10")
            jobs = []  # Placeholder

            for job in jobs:
                job["memory_id"]
                content = job["content"]  # Assume content is joined or fetched

                # 2. Generate Embedding
                embedding = await self.get_embedding(content)

                if embedding:
                    try:
                        # 3. Upsert to Qdrant
                        # await qdrant_client.upsert(
                        #     collection_name=self.collection,
                        #     points=[{"id": str(memory_id), "vector": embedding, "payload": job["metadata"]}]
                        # )

                        # 4. Update status in DB
                        # await self.db.execute("UPDATE memory_records SET embedding_status = 'ready' WHERE memory_id = $1", memory_id)
                        # await self.db.execute("UPDATE memory_write_queue SET status = 'completed' WHERE job_id = $1", job["job_id"])
                        pass
                    except Exception as e:
                        await self.handle_failure(job, str(e))
                else:
                    await self.handle_failure(job, "Embedding generation returned None")

            await asyncio.sleep(5)  # Poll interval

    async def handle_failure(self, job: dict, error: str):
        retries = job["retry_count"] + 1
        if retries >= self.max_retries:
            # Mark as terminal failed
            # await self.db.execute("UPDATE memory_records SET embedding_status = 'failed' WHERE memory_id = $1", job["memory_id"])
            # await self.db.execute("UPDATE memory_write_queue SET status = 'failed', last_error = $2 WHERE job_id = $1", job["job_id"], error)
            pass
        else:
            # Increment retry count and backoff
            # await self.db.execute("UPDATE memory_write_queue SET retry_count = $2, last_error = $3 WHERE job_id = $1", job["job_id"], retries, error)
            pass
        # await audit_logger.log("MEMORY_EMBED_FAILED", {"job_id": job["job_id"], "error": error})
