"""In-process traffic counters for the ops dashboard.

Cheap, thread-safe, best-effort counters for **inbound** HTTP requests (bucketed by
category) and **outbound** calls to external data sources (bucketed by source).
Everything here is since-process-start; durable daily history lives in the
audit/error JSONL logs (see ``audit.py``). Recording never raises into the request
path.

Read over the gated ``GET {BASE}/api/v2/metrics`` route (see ``app.py``) and rendered
by ``scripts/dashboard.py`` over SSH.
"""
import os
import threading
import time

# The ``phase=`` tag passed to ``climate._request`` maps 1:1 onto an external source.
# Keep this in sync with the phase names used at each call site in ``climate.py``.
_PHASE_SOURCE = {
    "history_fetch": "open-meteo-archive",
    "history_topup": "open-meteo-archive",
    "recent_forecast_fetch": "open-meteo-forecast",
    "geocode": "open-meteo-geocoding",
    "history_nasa": "nasa-power",
    "forecast_metno": "met-norway",
    "reverse_geocode": "nominatim",
}

# Every source we know about, so the dashboard shows a stable set of rows even before
# any traffic has hit a given source.
SOURCES = sorted(set(_PHASE_SOURCE.values()))

_OUTCOMES = ("ok", "retry", "error", "rate_limited")
_STATUS_BUCKETS = ("2xx", "3xx", "4xx", "5xx", "other")

_lock = threading.Lock()
_started_at = time.time()
_inbound: "dict[str, dict[str, int]]" = {}
_outbound: "dict[str, dict[str, int]]" = {
    s: {o: 0 for o in _OUTCOMES} for s in SOURCES
}

# Rolling short-window view: per-minute buckets (epoch-minute -> {key: count}) for
# inbound categories and outbound sources, summed over the last WINDOW minutes on
# snapshot(). Cheap and bounded — at most WINDOW+1 tiny dicts, pruned as minutes roll.
WINDOW_MINUTES = 10
_recent_in: "dict[int, dict[str, int]]" = {}
_recent_out: "dict[int, dict[str, int]]" = {}


def _bump_recent(buckets: "dict[int, dict[str, int]]", key: str) -> None:
    """Count one event for ``key`` in the current-minute bucket (caller holds _lock)."""
    minute = int(time.time() // 60)
    row = buckets.get(minute)
    if row is None:
        row = buckets[minute] = {}
        cutoff = minute - WINDOW_MINUTES
        for old in [m for m in buckets if m <= cutoff]:
            del buckets[old]   # drop minutes that have rolled out of the window
    row[key] = row.get(key, 0) + 1


def _recent_totals(buckets: "dict[int, dict[str, int]]") -> "dict[str, int]":
    """Sum each key's count over the last WINDOW minutes (caller holds _lock)."""
    cutoff = int(time.time() // 60) - WINDOW_MINUTES + 1
    totals: "dict[str, int]" = {}
    for minute, row in buckets.items():
        if minute >= cutoff:
            for key, count in row.items():
                totals[key] = totals.get(key, 0) + count
    return totals


def source_for_phase(phase: str) -> str:
    """Map a ``climate._request`` phase tag to an external-source label."""
    return _PHASE_SOURCE.get(phase, "other")


def _status_bucket(status) -> str:
    try:
        code = int(status)
    except (TypeError, ValueError):
        return "other"
    if 200 <= code < 300:
        return "2xx"
    if 300 <= code < 400:
        return "3xx"
    if 400 <= code < 500:
        return "4xx"
    if 500 <= code < 600:
        return "5xx"
    return "other"


def classify_inbound(path: str, base: str = "") -> str:
    """Bucket a request path into a dashboard category.

    ``path`` is ``request.url.path`` (still carrying the ``BASE`` prefix); ``base`` is
    the app's mount prefix (e.g. ``/thermograph`` or ``""``).
    """
    p = path or "/"
    if base and p.startswith(base):
        p = p[len(base):] or "/"
    if p.startswith("/api/"):
        rest = p[len("/api/"):]
        if rest.startswith(("v1/", "v2/")):
            rest = rest[3:]
        seg = rest.split("/", 1)[0].split("?", 1)[0]
        if seg in ("auth", "users"):
            return "auth"
        if seg in ("subscriptions", "notifications", "push"):
            return "accounts"
        if seg == "metrics":
            return "metrics"
        return f"api:{seg}" if seg else "api:other"
    if p.endswith((".js", ".css", ".html", ".webmanifest", ".png", ".svg", ".ico",
                   ".json", ".woff", ".woff2", ".map", ".txt", ".xml")):
        # robots.txt / sitemap.xml are crawler SEO endpoints, not page views.
        if p in ("/robots.txt", "/sitemap.xml"):
            return "seo"
        return "static"
    if p in ("", "/", "/calendar", "/day", "/compare", "/legend", "/alerts"):
        return "page"
    if p == "/about" or p.startswith("/climate") or p.startswith("/glossary"):
        return "page"
    return "other"


def record_inbound(category: str, status) -> None:
    """Count one inbound request in ``category``, bucketed by status class."""
    # The metrics endpoint is polled by the dashboard itself — counting it would just
    # show the monitor watching itself, so it's excluded from traffic entirely.
    if category == "metrics":
        return
    try:
        bucket = _status_bucket(status)
        with _lock:
            row = _inbound.get(category)
            if row is None:
                row = _inbound[category] = {"total": 0, **{b: 0 for b in _STATUS_BUCKETS}}
            row["total"] += 1
            row[bucket] = row.get(bucket, 0) + 1
            _bump_recent(_recent_in, category)
    except Exception:  # noqa: BLE001 - instrumentation must never break a request
        pass


def record_outbound(phase: str, outcome: str) -> None:
    """Count one outbound call. ``outcome`` in {ok, retry, error, rate_limited}."""
    try:
        source = source_for_phase(phase)
        with _lock:
            row = _outbound.get(source)
            if row is None:
                row = _outbound[source] = {o: 0 for o in _OUTCOMES}
            row[outcome] = row.get(outcome, 0) + 1
            _bump_recent(_recent_out, source)
    except Exception:  # noqa: BLE001
        pass


def snapshot() -> dict:
    """A JSON-serializable copy of all counters plus process facts."""
    with _lock:
        inbound = {k: dict(v) for k, v in _inbound.items()}
        outbound = {k: dict(v) for k, v in _outbound.items()}
        recent_in = _recent_totals(_recent_in)
        recent_out = _recent_totals(_recent_out)
    return {
        "pid": os.getpid(),
        "started_at": _started_at,
        "uptime_s": round(time.time() - _started_at, 1),
        "inbound": inbound,
        "outbound": outbound,
        "inbound_total": sum(v.get("total", 0) for v in inbound.values()),
        "outbound_total": sum(sum(v.values()) for v in outbound.values()),
        # Traffic over the last WINDOW_MINUTES, per category / source.
        "window_minutes": WINDOW_MINUTES,
        "inbound_recent": recent_in,
        "outbound_recent": recent_out,
    }