Terminal / api /performance_rum.py
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"""RUM performance API for the existing FastAPI backend.
Routes:
POST /api/performance/ingest public, bounded and rate-limited
GET /api/performance/admin/summary admin-only aggregated data
The module uses the existing DATABASE_URL PostgreSQL connection and never
accepts or returns prompt/chat contents.
"""
from __future__ import annotations
import asyncio
import hashlib
import math
import os
import re
import time
from datetime import datetime, timezone
from typing import Annotated, Any
from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
from pydantic import BaseModel, ConfigDict, Field, field_validator
from .auth_guard import AuthRole, require_role
router = APIRouter(prefix="/api/performance", tags=["performance"])
admin_dependency = Depends(require_role(AuthRole.ADMIN))
_RELEASE_RE = re.compile(r"^[0-9a-f]{7,40}$")
_ALLOWED_METRICS = frozenset({
"CLS", "FCP", "INP", "LCP", "TTFB",
"codemirror:core", "codemirror:first-interactive",
"codemirror:language", "agent:tool-executor",
})
_ALLOWED_CONNECTIONS = frozenset({"slow-2g", "2g", "3g", "4g", "wifi", "unknown"})
_ALLOWED_NAVIGATION = frozenset({"navigate", "reload", "back-forward", "prerender", "unknown"})
_RATE_WINDOW_SECONDS = 60
_RATE_LIMIT = 120
_rate_buckets: dict[str, tuple[float, int]] = {}
class MetricSample(BaseModel):
model_config = ConfigDict(extra="forbid")
metric: str = Field(min_length=2, max_length=40)
value: float = Field(ge=0, lt=86_400_000)
release: str = Field(min_length=7, max_length=40)
device: str
connection_type: str | None = Field(default=None, max_length=12)
navigation_type: str | None = Field(default=None, max_length=20)
@field_validator("metric")
@classmethod
def validate_metric(cls, value: str) -> str:
if value not in _ALLOWED_METRICS:
raise ValueError("unsupported metric")
return value
@field_validator("value")
@classmethod
def validate_value(cls, value: float) -> float:
if not math.isfinite(value):
raise ValueError("value must be finite")
return round(value, 3)
@field_validator("release")
@classmethod
def validate_release(cls, value: str) -> str:
value = value.strip().lower()
if not _RELEASE_RE.fullmatch(value):
raise ValueError("release must be a git SHA")
return value
@field_validator("device")
@classmethod
def validate_device(cls, value: str) -> str:
if value not in {"mobile", "desktop"}:
raise ValueError("device must be mobile or desktop")
return value
@field_validator("connection_type")
@classmethod
def validate_connection(cls, value: str | None) -> str | None:
return value if value in _ALLOWED_CONNECTIONS else ("unknown" if value else None)
@field_validator("navigation_type")
@classmethod
def validate_navigation(cls, value: str | None) -> str | None:
return value if value in _ALLOWED_NAVIGATION else ("unknown" if value else None)
def _bucket_start(now: datetime, minutes: int = 15) -> datetime:
now = now.astimezone(timezone.utc).replace(second=0, microsecond=0)
return now.replace(minute=(now.minute // minutes) * minutes)
def _rate_key(request: Request, salt: str) -> str:
# Digest only; the raw IP and user-agent are never persisted or logged.
ip = request.headers.get("cf-connecting-ip", "")
ua = request.headers.get("user-agent", "")[:160]
return hashlib.sha256(f"{salt}:{ip}:{ua}".encode()).hexdigest()
def _allow_rate(key: str) -> bool:
now = time.monotonic()
started, count = _rate_buckets.get(key, (now, 0))
if now - started >= _RATE_WINDOW_SECONDS:
_rate_buckets[key] = (now, 1)
return True
if count >= _RATE_LIMIT:
return False
_rate_buckets[key] = (started, count + 1)
return True
def _db_url() -> str:
value = os.getenv("DATABASE_URL", "").strip()
if not value.startswith(("postgresql://", "postgres://")):
raise HTTPException(status_code=503, detail="PostgreSQL non configurato")
return value
def _execute(sql: str, params: dict[str, Any], *, fetch: bool = False) -> list[dict[str, Any]]:
import psycopg2
import psycopg2.extras
conn = psycopg2.connect(_db_url())
try:
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute(sql, params)
rows = [dict(row) for row in cur.fetchall()] if fetch else []
conn.commit()
return rows
finally:
conn.close()
@router.post("/ingest", status_code=status.HTTP_202_ACCEPTED)
async def ingest_metric(
sample: MetricSample,
request: Request,
x_rum_key: Annotated[str | None, Header(alias="X-Rum-Key")] = None,
) -> dict[str, bool]:
expected_key = os.getenv("RUM_INGEST_KEY", "")
if expected_key and x_rum_key != expected_key:
raise HTTPException(status_code=401, detail="invalid rum key")
if not _allow_rate(_rate_key(request, os.getenv("RUM_HASH_SALT", "rum"))):
raise HTTPException(status_code=429, detail="rate limit exceeded")
await asyncio.to_thread(
_execute,
"""
insert into public.rum_samples
(metric, value, release, device, connection_type, navigation_type, bucket_start)
values (%(metric)s, %(value)s, %(release)s, %(device)s, %(connection_type)s,
%(navigation_type)s, %(bucket_start)s)
""",
{
"metric": sample.metric,
"value": sample.value,
"release": sample.release,
"device": sample.device,
"connection_type": sample.connection_type,
"navigation_type": sample.navigation_type,
"bucket_start": _bucket_start(datetime.now(timezone.utc)),
},
)
return {"accepted": True}
@router.get("/admin/summary", dependencies=[admin_dependency])
async def performance_summary(
from_time: datetime,
to_time: datetime,
release: str = "all",
device: str = "mobile",
) -> dict[str, Any]:
if device not in {"mobile", "desktop"}:
raise HTTPException(status_code=400, detail="invalid device")
if to_time <= from_time or (to_time - from_time).days > 31:
raise HTTPException(status_code=400, detail="invalid time range")
if release != "all" and not _RELEASE_RE.fullmatch(release.lower()):
raise HTTPException(status_code=400, detail="invalid release")
rows = await asyncio.to_thread(
_execute,
"""
select metric, release, device,
count(*)::integer as sample_count,
percentile_cont(0.50) within group (order by value) as p50,
percentile_cont(0.75) within group (order by value) as p75,
percentile_cont(0.95) within group (order by value) as p95
from public.rum_samples
where bucket_start >= %(from_time)s
and bucket_start < %(to_time)s
and device = %(device)s
and (%(release)s = 'all' or release = %(release)s)
group by metric, release, device
order by metric, release
""",
{"from_time": from_time, "to_time": to_time, "device": device, "release": release.lower()},
fetch=True,
)
for row in rows:
if row["sample_count"] < 20:
row["p50"] = row["p75"] = row["p95"] = None
row["insufficient_sample"] = True
else:
row["insufficient_sample"] = False
return {"ok": True, "generated_at": datetime.now(timezone.utc).isoformat(), "items": rows}