"""
Thin client for the local Ollama server.

In this project the LLM is an EXTRACTOR, never a source: it is only ever
handed text that was fetched from a real page or search result, and every
value it returns is checked against that text by
app.electronics.normalise.grounding before it is kept. There are deliberately
no functions here that ask the model to list products, prices or images.
"""
from __future__ import annotations

import json
import re
import time

import requests

from app.infrastructure.settings import OLLAMA_BASE_URL, OLLAMA_MODEL_NAME, USE_OLLAMA, OLLAMA_TIMEOUT_SECONDS


# Reachability is asked once per this many seconds, not once per caller.
#
# WHY THIS CACHE EXISTS. The probe below costs up to 5 seconds when nothing is
# listening, and `_ensure_client` is called per ROW by stage 2 of the ingestion
# pipeline (store_catalog_pipeline.stage_2_row_intake -> fetch_product_details).
# Uncached, a 2000-row sheet ingested with use_llm on, against a configured but
# unreachable Ollama, spends up to ~2.8 hours doing nothing but timing out - and
# presents as a batch that has hung rather than one that has failed. That is not
# hypothetical: USE_OLLAMA=true pointing at localhost:11434 is the default
# developer configuration, and `ollama serve` is not always running beside it.
#
# /api/health calls this too (app/api/routers/system.py), so the same cache
# stops a down Ollama adding 5s to every health request.
#
# A TTL rather than a permanent memo, deliberately: this is a liveness fact, not
# configuration. Cached forever, an Ollama started after the API would never be
# noticed and /api/health would report it down until a redeploy.
_PROBE_TTL_SECONDS = 30.0
_probe_cache: tuple[float, bool] | None = None


def reset_reachability_cache() -> None:
    """Forget the cached probe. For tests, and for anything that knows the
    answer just changed."""
    global _probe_cache
    _probe_cache = None


def _ensure_client():
    """None when Ollama is switched off, True/False for reachable or not.

    Three return values, not two - `system.py` relies on telling "disabled" from
    "configured but down", so do not collapse this to a bool.
    """
    if not USE_OLLAMA:
        # No network call on this path, so nothing worth caching.
        return None

    global _probe_cache
    now = time.monotonic()
    if _probe_cache is not None and now - _probe_cache[0] < _PROBE_TTL_SECONDS:
        return _probe_cache[1]

    # Verify Ollama is reachable
    try:
        resp = requests.get(f"{OLLAMA_BASE_URL}/api/tags", timeout=5)
        reachable = resp.status_code == 200
    except Exception:
        reachable = False

    _probe_cache = (now, reachable)
    return reachable


def _generate(
    system: str,
    user_prompt: str,
    max_retries: int = 2,
    *,
    temperature: float = 0.0,
    json_mode: bool = False,
) -> str:
    """Call Ollama's chat endpoint and return text safely.

    Retries up to `max_retries` times when the response is empty, since
    small local models (e.g. qwen2.5:1.5b) sometimes return empty content
    for complex JSON prompts on the first attempt.
    """
    if not _ensure_client():
        return ""
    for attempt in range(max_retries + 1):
        try:
            resp = requests.post(
                f"{OLLAMA_BASE_URL}/api/chat",
                json={
                    "model": OLLAMA_MODEL_NAME,
                    "messages": [
                        {"role": "system", "content": system},
                        {"role": "user", "content": user_prompt},
                    ],
                    "stream": False,
                    "options": {"temperature": temperature},
                    **({"format": "json"} if json_mode else {}),
                },
                timeout=OLLAMA_TIMEOUT_SECONDS,
            )
            resp.raise_for_status()
            data = resp.json()
            content = (data.get("message", {}).get("content", "") or "").strip()
            if content:
                return content
            if attempt < max_retries:
                import time
                time.sleep(1.0)
        except Exception:
            if attempt >= max_retries:
                return ""
            import time
            time.sleep(1.0)
    return ""


def _extract_json(text: str) -> dict | None:
    """Extract JSON from model response, trying multiple strategies.

    Handles both JSON objects {...} and JSON arrays [...] since small
    local models frequently return bare arrays instead of an object with
    a ``products`` key.
    """
    if not text:
        return None
    # Try fenced code block (object or array)
    match = re.search(r"```(?:json)?\s*(\{[\s\S]*?\}|\[[\s\S]*?\])\s*```", text)
    if match:
        try:
            return json.loads(match.group(1))
        except json.JSONDecodeError:
            pass
    # Try first JSON value in text (greedy - object)
    brace = re.search(r"\{[\s\S]*\}", text)
    if brace:
        try:
            return json.loads(brace.group(0))
        except json.JSONDecodeError:
            pass
    # Try first JSON value in text (greedy - array)
    bracket = re.search(r"\[[\s\S]*\]", text)
    if bracket:
        try:
            return json.loads(bracket.group(0))
        except json.JSONDecodeError:
            pass
    # Try parsing entire text
    try:
        return json.loads(text.strip())
    except json.JSONDecodeError:
        pass
    # Fallback: try to fix common issues
    cleaned = text.strip()
    cleaned = re.sub(r"(?<=[:,\[])\s*'", '"', cleaned)
    cleaned = re.sub(r"'\s*(?=[,:\}\]])", '"', cleaned)
    try:
        return json.loads(cleaned)
    except json.JSONDecodeError:
        return None


def generate_json(system_prompt: str, user_prompt: str) -> dict | list | None:
    """Deterministic JSON-mode completion. None when Ollama is unavailable or
    the reply is not JSON - callers must treat that as "no extra data"."""
    return _extract_json(_generate(system_prompt, user_prompt, max_retries=1, json_mode=True))