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atc-agents/api/storage_s3.py
T
mo 3a6ee8e2b0 feat(storage): rich Object Storage analytics dashboard
Add /api/storage/s3/analytics endpoint that scans buckets (bounded +
cached) to compute total size/objects, per-bucket distribution, file-type
and size-class breakdowns, cumulative data-growth timeline and largest /
recent objects. Track every S3 op routed through the API for a live
storage-activity timeline.

Rebuild StorageView into a tabbed view: Overview (KPI cards + SVG charts:
growth area, bucket donut, type/size bars, activity sparkline, top folders,
largest & recent objects) and the original bucket Browser.
2026-06-27 21:30:45 +00:00

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"""ObjectScale / S3 storage API for Command Center."""
from __future__ import annotations
import os
import time
from collections import deque
from datetime import datetime, timezone
from typing import Any
import boto3
from botocore.client import Config
from botocore.exceptions import ClientError
from fastapi import APIRouter, Query
from fastapi.responses import JSONResponse, StreamingResponse
S3_ENDPOINT = os.getenv("S3_ENDPOINT", "http://10.0.20.111:9020")
S3_ACCESS_KEY = os.getenv("S3_ACCESS_KEY", "object_admin1")
S3_SECRET_KEY = os.getenv("S3_SECRET_KEY", "ChangeMeChangeMeChangeMeChangeMeChangeMe")
S3_REGION = os.getenv("S3_REGION", "us-east-1")
router = APIRouter(prefix="/api/storage/s3", tags=["storage"])
# Bounded scan so the dashboard stays responsive on big buckets.
SCAN_MAX_OBJECTS = int(os.getenv("S3_SCAN_MAX_OBJECTS", "50000"))
SCAN_DEADLINE_S = float(os.getenv("S3_SCAN_DEADLINE_S", "12"))
# In-process activity log — every S3 op routed through this API is recorded so
# the dashboard can show live "what is happening on the storage" timelines.
_activity: deque[tuple[float, str]] = deque(maxlen=20000)
_analytics_cache: dict[str, Any] = {"ts": 0.0, "data": None}
_ANALYTICS_TTL = 45.0
def _track(op: str) -> None:
try:
_activity.append((time.time(), op))
except Exception:
pass
def _ext(key: str) -> str:
base = key.rsplit("/", 1)[-1]
if "." in base:
e = base.rsplit(".", 1)[-1].lower()
if 1 <= len(e) <= 8 and e.isalnum():
return e
return "(none)"
def _size_class(n: int) -> str:
kb, mb, gb = 1024, 1024 ** 2, 1024 ** 3
if n < kb:
return "<1 KB"
if n < mb:
return "1 KB1 MB"
if n < 10 * mb:
return "110 MB"
if n < 100 * mb:
return "10100 MB"
if n < gb:
return "100 MB1 GB"
return ">1 GB"
def _client():
return boto3.client(
"s3",
endpoint_url=S3_ENDPOINT,
aws_access_key_id=S3_ACCESS_KEY,
aws_secret_access_key=S3_SECRET_KEY,
region_name=S3_REGION,
config=Config(signature_version="s3v4", s3={"addressing_style": "path"}),
)
def _human_size(n: int) -> str:
for unit in ("B", "KB", "MB", "GB", "TB"):
if n < 1024:
return f"{n:.0f} {unit}" if unit == "B" else f"{n:.1f} {unit}"
n /= 1024
return f"{n:.1f} PB"
@router.get("/health")
async def s3_health():
try:
_track("health")
s3 = _client()
buckets = s3.list_buckets()
names = [b["Name"] for b in buckets.get("Buckets", [])]
return {
"ok": True,
"endpoint": S3_ENDPOINT,
"buckets": len(names),
"bucket_names": names,
}
except Exception as exc:
return JSONResponse({"ok": False, "endpoint": S3_ENDPOINT, "error": str(exc)}, status_code=502)
@router.get("/buckets")
async def list_buckets():
try:
_track("list_buckets")
s3 = _client()
resp = s3.list_buckets()
items = []
for b in resp.get("Buckets", []):
name = b["Name"]
try:
loc = s3.list_objects_v2(Bucket=name, MaxKeys=1)
count_hint = loc.get("KeyCount", 0)
except ClientError:
count_hint = None
items.append({
"name": name,
"created": b.get("CreationDate", "").isoformat() if b.get("CreationDate") else None,
"has_objects": bool(count_hint),
})
return {"ok": True, "buckets": items, "endpoint": S3_ENDPOINT}
except Exception as exc:
return JSONResponse({"ok": False, "error": str(exc)}, status_code=502)
@router.get("/buckets/{bucket}/objects")
async def list_objects(
bucket: str,
prefix: str = Query("", alias="prefix"),
max_keys: int = Query(200, le=500),
):
try:
_track("list_objects")
s3 = _client()
resp = s3.list_objects_v2(Bucket=bucket, Prefix=prefix, Delimiter="/", MaxKeys=max_keys)
folders = [
{"type": "prefix", "name": p["Prefix"][len(prefix):].rstrip("/"), "prefix": p["Prefix"]}
for p in resp.get("CommonPrefixes", [])
]
objects = [
{
"type": "object",
"key": o["Key"],
"name": o["Key"][len(prefix):] if o["Key"].startswith(prefix) else o["Key"],
"size": o.get("Size", 0),
"size_human": _human_size(o.get("Size", 0)),
"modified": o.get("LastModified", "").isoformat() if o.get("LastModified") else None,
}
for o in resp.get("Contents", [])
if o["Key"] != prefix
]
return {
"ok": True,
"bucket": bucket,
"prefix": prefix,
"folders": folders,
"objects": objects,
"truncated": resp.get("IsTruncated", False),
}
except ClientError as exc:
return JSONResponse({"ok": False, "error": str(exc)}, status_code=403)
except Exception as exc:
return JSONResponse({"ok": False, "error": str(exc)}, status_code=502)
@router.get("/buckets/{bucket}/download")
async def download_object(bucket: str, key: str = Query(...)):
try:
_track("download")
s3 = _client()
obj = s3.get_object(Bucket=bucket, Key=key)
body = obj["Body"]
filename = key.split("/")[-1] or "download"
media = obj.get("ContentType") or "application/octet-stream"
def stream():
while chunk := body.read(1024 * 256):
yield chunk
return StreamingResponse(
stream(),
media_type=media,
headers={"Content-Disposition": f'attachment; filename="{filename}"'},
)
except ClientError as exc:
return JSONResponse({"ok": False, "error": str(exc)}, status_code=404)
def _scan_analytics() -> dict[str, Any]:
s3 = _client()
deadline = time.time() + SCAN_DEADLINE_S
resp = s3.list_buckets()
bucket_objs = resp.get("Buckets", [])
created_map = {
b["Name"]: (b.get("CreationDate").isoformat() if b.get("CreationDate") else None)
for b in bucket_objs
}
names = [b["Name"] for b in bucket_objs]
total_bytes = 0
total_objects = 0
by_bucket: dict[str, list[int]] = {}
by_ext: dict[str, list[int]] = {}
by_size: dict[str, int] = {}
by_day: dict[str, list[int]] = {}
by_prefix: dict[str, list[int]] = {}
largest: list[tuple[int, str, str, str | None]] = []
recent: list[tuple[str, str, str, int]] = []
truncated = False
scanned = 0
for name in names:
bc = bb = 0
token = None
while True:
if time.time() > deadline or scanned >= SCAN_MAX_OBJECTS:
truncated = True
break
kw: dict[str, Any] = {"Bucket": name, "MaxKeys": 1000}
if token:
kw["ContinuationToken"] = token
try:
r = s3.list_objects_v2(**kw)
except Exception:
break
for o in r.get("Contents", []):
sz = int(o.get("Size", 0) or 0)
key = o["Key"]
lm = o.get("LastModified")
bc += 1
bb += sz
scanned += 1
total_objects += 1
total_bytes += sz
e = by_ext.setdefault(_ext(key), [0, 0])
e[0] += 1
e[1] += sz
sc = _size_class(sz)
by_size[sc] = by_size.get(sc, 0) + 1
if lm:
d = lm.astimezone(timezone.utc).strftime("%Y-%m-%d")
dd = by_day.setdefault(d, [0, 0])
dd[0] += 1
dd[1] += sz
recent.append((lm.isoformat(), name, key, sz))
top = key.split("/", 1)[0] if "/" in key else "(root)"
pp = by_prefix.setdefault(f"{name}/{top}", [0, 0])
pp[0] += 1
pp[1] += sz
largest.append((sz, name, key, lm.isoformat() if lm else None))
if scanned >= SCAN_MAX_OBJECTS:
truncated = True
break
if r.get("IsTruncated") and not (time.time() > deadline or scanned >= SCAN_MAX_OBJECTS):
token = r.get("NextContinuationToken")
if not token:
break
else:
break
by_bucket[name] = [bc, bb]
# cumulative growth timeline
growth = []
cum_b = cum_o = 0
for d in sorted(by_day):
c, b = by_day[d]
cum_o += c
cum_b += b
growth.append({"date": d, "objects": c, "bytes": b, "cum_objects": cum_o, "cum_bytes": cum_b})
buckets_out = sorted(
([{"name": n, "objects": v[0], "bytes": v[1], "size_human": _human_size(v[1]),
"pct": round(100 * v[1] / total_bytes, 1) if total_bytes else 0,
"created": created_map.get(n)} for n, v in by_bucket.items()]),
key=lambda x: x["bytes"], reverse=True)
types_out = sorted(
([{"ext": k, "objects": v[0], "bytes": v[1], "size_human": _human_size(v[1])}
for k, v in by_ext.items()]), key=lambda x: x["bytes"], reverse=True)[:12]
size_order = ["<1 KB", "1 KB1 MB", "110 MB", "10100 MB", "100 MB1 GB", ">1 GB"]
size_out = [{"label": k, "count": by_size.get(k, 0)} for k in size_order]
prefixes_out = sorted(
([{"prefix": k, "objects": v[0], "bytes": v[1], "size_human": _human_size(v[1])}
for k, v in by_prefix.items()]), key=lambda x: x["bytes"], reverse=True)[:10]
largest.sort(key=lambda x: x[0], reverse=True)
largest_out = [{"bucket": b, "key": k, "bytes": s, "size_human": _human_size(s), "modified": m}
for s, b, k, m in largest[:10]]
recent.sort(key=lambda x: x[0], reverse=True)
recent_out = [{"modified": m, "bucket": b, "key": k, "bytes": s, "size_human": _human_size(s)}
for m, b, k, s in recent[:15]]
return {
"summary": {
"buckets": len(names),
"objects": total_objects,
"bytes": total_bytes,
"size_human": _human_size(total_bytes),
"avg_object_bytes": int(total_bytes / total_objects) if total_objects else 0,
"avg_object_human": _human_size(int(total_bytes / total_objects) if total_objects else 0),
"largest_human": largest_out[0]["size_human"] if largest_out else "0 B",
"newest": recent_out[0]["modified"] if recent_out else None,
"oldest": growth[0]["date"] if growth else None,
"truncated": truncated,
"scanned": scanned,
},
"buckets": buckets_out,
"types": types_out,
"size_histogram": size_out,
"growth": growth,
"top_prefixes": prefixes_out,
"largest_objects": largest_out,
"recent": recent_out,
}
def _activity_view() -> dict[str, Any]:
now = time.time()
cutoff = now - 3600
mins = [0] * 60
by_op: dict[str, int] = {}
total = 0
for ts, op in list(_activity):
if ts < cutoff:
continue
total += 1
by_op[op] = by_op.get(op, 0) + 1
idx = int((now - ts) // 60)
if 0 <= idx < 60:
mins[59 - idx] += 1
last_ts = _activity[-1][0] if _activity else None
return {
"per_minute": mins,
"by_op": [{"op": k, "count": v} for k, v in sorted(by_op.items(), key=lambda x: -x[1])],
"total_last_hour": total,
"last_activity": datetime.fromtimestamp(last_ts, tz=timezone.utc).isoformat() if last_ts else None,
}
@router.get("/analytics")
async def analytics(refresh: bool = Query(False)):
"""Aggregated storage analytics for the dashboard (cached ~45s)."""
_track("analytics")
now = time.time()
if not refresh and _analytics_cache["data"] is not None and now - _analytics_cache["ts"] < _ANALYTICS_TTL:
data = _analytics_cache["data"]
else:
try:
data = _scan_analytics()
_analytics_cache["data"] = data
_analytics_cache["ts"] = now
except Exception as exc:
return JSONResponse({"ok": False, "error": str(exc), "endpoint": S3_ENDPOINT}, status_code=502)
return {"ok": True, "endpoint": S3_ENDPOINT, "generated_at": datetime.now(timezone.utc).isoformat(),
"activity": _activity_view(), **data}