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Optimise geo lookup and aggregation for 10k+ IPs

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- Add persistent geo_cache SQLite table (db.py)
- Rewrite geo_service: batch API (100 IPs/call), two-tier cache,
  no caching of failed lookups so they are retried
- Pre-warm geo cache from DB on startup (main.py lifespan)
- Rewrite bans_by_country: SQL GROUP BY ip aggregation + lookup_batch
  instead of 2000-row fetch + asyncio.gather individual calls
- Pre-warm geo cache after blocklist import (blocklist_service)
- Add 300ms debounce to useMapData hook to cancel stale requests
- Add perf benchmark asserting <2s for 10k bans
- Add seed_10k_bans.py script for manual perf testing
This commit is contained in:
Lukas
2026-03-07 20:28:51 +01:00
parent 53d664de4f
commit ddfc8a0b02
13 changed files with 917 additions and 90 deletions
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12
backend/app/db.py
View File

@@ -64,6 +64,17 @@ CREATE TABLE IF NOT EXISTS import_log (
);
"""
_CREATE_GEO_CACHE: str = """
CREATE TABLE IF NOT EXISTS geo_cache (
ip TEXT PRIMARY KEY,
country_code TEXT,
country_name TEXT,
asn TEXT,
org TEXT,
cached_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now'))
);
"""
# Ordered list of DDL statements to execute on initialisation.
_SCHEMA_STATEMENTS: list[str] = [
_CREATE_SETTINGS,
@@ -71,6 +82,7 @@ _SCHEMA_STATEMENTS: list[str] = [
_CREATE_SESSIONS_TOKEN_INDEX,
_CREATE_BLOCKLIST_SOURCES,
_CREATE_IMPORT_LOG,
_CREATE_GEO_CACHE,
]

5
backend/app/main.py
View File

@@ -134,6 +134,11 @@ async def _lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
http_session: aiohttp.ClientSession = aiohttp.ClientSession()
app.state.http_session = http_session
# --- Pre-warm geo cache from the persistent store ---
from app.services import geo_service # noqa: PLC0415
await geo_service.load_cache_from_db(db)
# --- Background task scheduler ---
scheduler: AsyncIOScheduler = AsyncIOScheduler(timezone="UTC")
scheduler.start()

28
backend/app/routers/dashboard.py
View File

@@ -9,14 +9,16 @@ Also provides ``GET /api/dashboard/bans`` for the dashboard ban-list table.
from __future__ import annotations
from typing import TYPE_CHECKING
from typing import TYPE_CHECKING, Annotated
import aiosqlite
if TYPE_CHECKING:
import aiohttp
from fastapi import APIRouter, Query, Request
from fastapi import APIRouter, Depends, Query, Request
from app.dependencies import AuthDep
from app.dependencies import AuthDep, get_db
from app.models.ban import (
BanOrigin,
BansByCountryResponse,
@@ -75,6 +77,7 @@ async def get_server_status(
async def get_dashboard_bans(
request: Request,
_auth: AuthDep,
db: Annotated[aiosqlite.Connection, Depends(get_db)],
range: TimeRange = Query(default=_DEFAULT_RANGE, description="Time-range preset."),
page: int = Query(default=1, ge=1, description="1-based page number."),
page_size: int = Query(default=_DEFAULT_PAGE_SIZE, ge=1, le=500, description="Items per page."),
@@ -92,6 +95,7 @@ async def get_dashboard_bans(
Args:
request: The incoming request (used to access ``app.state``).
_auth: Validated session dependency.
db: BanGUI application database (for persistent geo cache writes).
range: Time-range preset — ``"24h"``, ``"7d"``, ``"30d"``, or
``"365d"``.
page: 1-based page number.
@@ -106,7 +110,7 @@ async def get_dashboard_bans(
http_session: aiohttp.ClientSession = request.app.state.http_session
async def _enricher(ip: str) -> geo_service.GeoInfo | None:
return await geo_service.lookup(ip, http_session)
return await geo_service.lookup(ip, http_session, db=db)
return await ban_service.list_bans(
socket_path,
@@ -126,6 +130,7 @@ async def get_dashboard_bans(
async def get_bans_by_country(
request: Request,
_auth: AuthDep,
db: Annotated[aiosqlite.Connection, Depends(get_db)],
range: TimeRange = Query(default=_DEFAULT_RANGE, description="Time-range preset."),
origin: BanOrigin | None = Query(
default=None,
@@ -134,30 +139,29 @@ async def get_bans_by_country(
) -> BansByCountryResponse:
"""Return ban counts aggregated by ISO country code.
Fetches up to 2 000 ban records in the selected time window, enriches
every record with geo data, and returns a ``{country_code: count}`` map
plus the full enriched ban list for the companion access table.
Uses SQL aggregation (``GROUP BY ip``) and batch geo-resolution to handle
10 000+ banned IPs efficiently. Returns a ``{country_code: count}`` map
and the 200 most recent raw ban rows for the companion access table.
Args:
request: The incoming request.
_auth: Validated session dependency.
db: BanGUI application database (for persistent geo cache writes).
range: Time-range preset.
origin: Optional filter by ban origin.
Returns:
:class:`~app.models.ban.BansByCountryResponse` with per-country
aggregation and the full ban list.
aggregation and the companion ban list.
"""
socket_path: str = request.app.state.settings.fail2ban_socket
http_session: aiohttp.ClientSession = request.app.state.http_session
async def _enricher(ip: str) -> geo_service.GeoInfo | None:
return await geo_service.lookup(ip, http_session)
return await ban_service.bans_by_country(
socket_path,
range,
geo_enricher=_enricher,
http_session=http_session,
app_db=db,
origin=origin,
)

92
backend/app/services/ban_service.py
View File

@@ -12,7 +12,7 @@ from __future__ import annotations
import json
from datetime import UTC, datetime
from typing import Any
from typing import TYPE_CHECKING, Any
import aiosqlite
import structlog
@@ -29,6 +29,9 @@ from app.models.ban import (
)
from app.utils.fail2ban_client import Fail2BanClient
if TYPE_CHECKING:
import aiohttp
log: structlog.stdlib.BoundLogger = structlog.get_logger()
# ---------------------------------------------------------------------------
@@ -280,35 +283,51 @@ async def list_bans(
# bans_by_country
# ---------------------------------------------------------------------------
#: Maximum bans fetched for aggregation (guard against huge databases).
_MAX_GEO_BANS: int = 2_000
#: Maximum rows returned in the companion table alongside the map.
_MAX_COMPANION_BANS: int = 200
async def bans_by_country(
socket_path: str,
range_: TimeRange,
http_session: aiohttp.ClientSession | None = None,
geo_enricher: Any | None = None,
app_db: aiosqlite.Connection | None = None,
origin: BanOrigin | None = None,
) -> BansByCountryResponse:
"""Aggregate ban counts per country for the selected time window.
Fetches up to ``_MAX_GEO_BANS`` ban records from the fail2ban database,
enriches them with geo data, and returns a ``{country_code: count}`` map
alongside the enriched ban list for the companion access table.
Uses a two-step strategy optimised for large datasets:
1. Queries the fail2ban DB with ``GROUP BY ip`` to get the per-IP ban
counts for all unique IPs in the window — no row-count cap.
2. Batch-resolves every unique IP via :func:`~app.services.geo_service.lookup_batch`
(100 IPs per HTTP call) instead of one-at-a-time lookups.
3. Returns a ``{country_code: count}`` aggregation and the 200 most
recent raw rows (already geo-cached from step 2) for the companion
table.
Args:
socket_path: Path to the fail2ban Unix domain socket.
range_: Time-range preset.
geo_enricher: Optional async ``(ip) -> GeoInfo | None`` callable.
http_session: Optional :class:`aiohttp.ClientSession` for batch
geo lookups. When provided, :func:`geo_service.lookup_batch`
is used instead of the *geo_enricher* callable.
geo_enricher: Legacy async ``(ip) -> GeoInfo | None`` callable;
used when *http_session* is ``None``.
app_db: Optional BanGUI application database used to persist newly
resolved geo entries across restarts.
origin: Optional origin filter — ``"blocklist"`` restricts results to
the ``blocklist-import`` jail, ``"selfblock"`` excludes it.
Returns:
:class:`~app.models.ban.BansByCountryResponse` with per-country
aggregation and the full ban list.
aggregation and the companion ban list.
"""
import asyncio
from app.services import geo_service # noqa: PLC0415
since: int = _since_unix(range_)
origin_clause, origin_params = _origin_sql_filter(origin)
db_path: str = await _get_fail2ban_db_path(socket_path)
@@ -323,6 +342,7 @@ async def bans_by_country(
async with aiosqlite.connect(f"file:{db_path}?mode=ro", uri=True) as f2b_db:
f2b_db.row_factory = aiosqlite.Row
# Total count for the window.
async with f2b_db.execute(
"SELECT COUNT(*) FROM bans WHERE timeofban >= ?" + origin_clause,
(since, *origin_params),
@@ -330,6 +350,19 @@ async def bans_by_country(
count_row = await cur.fetchone()
total: int = int(count_row[0]) if count_row else 0
# Aggregation: unique IPs + their total event count.
# No LIMIT here — we need all unique source IPs for accurate country counts.
async with f2b_db.execute(
"SELECT ip, COUNT(*) AS event_count "
"FROM bans "
"WHERE timeofban >= ?"
+ origin_clause
+ " GROUP BY ip",
(since, *origin_params),
) as cur:
agg_rows = await cur.fetchall()
# Companion table: most recent raw rows for display alongside the map.
async with f2b_db.execute(
"SELECT jail, ip, timeofban, bancount, data "
"FROM bans "
@@ -337,14 +370,21 @@ async def bans_by_country(
+ origin_clause
+ " ORDER BY timeofban DESC "
"LIMIT ?",
(since, *origin_params, _MAX_GEO_BANS),
(since, *origin_params, _MAX_COMPANION_BANS),
) as cur:
rows = await cur.fetchall()
companion_rows = await cur.fetchall()
# Geo-enrich unique IPs in parallel.
unique_ips: list[str] = list({str(r["ip"]) for r in rows})
# Batch-resolve all unique IPs (much faster than individual lookups).
unique_ips: list[str] = [str(r["ip"]) for r in agg_rows]
geo_map: dict[str, Any] = {}
if geo_enricher is not None and unique_ips:
if http_session is not None and unique_ips:
try:
geo_map = await geo_service.lookup_batch(unique_ips, http_session, db=app_db)
except Exception as exc: # noqa: BLE001
log.warning("ban_service_batch_geo_failed", error=str(exc))
elif geo_enricher is not None and unique_ips:
# Fallback: legacy per-IP enricher (used in tests / older callers).
async def _safe_lookup(ip: str) -> tuple[str, Any]:
try:
return ip, await geo_enricher(ip)
@@ -355,16 +395,29 @@ async def bans_by_country(
results = await asyncio.gather(*(_safe_lookup(ip) for ip in unique_ips))
geo_map = dict(results)
# Build ban items and aggregate country counts.
# Build country aggregation from the SQL-grouped rows.
countries: dict[str, int] = {}
country_names: dict[str, str] = {}
bans: list[DashboardBanItem] = []
for row in rows:
ip = str(row["ip"])
for row in agg_rows:
ip: str = str(row["ip"])
geo = geo_map.get(ip)
cc: str | None = geo.country_code if geo else None
cn: str | None = geo.country_name if geo else None
event_count: int = int(row["event_count"])
if cc:
countries[cc] = countries.get(cc, 0) + event_count
if cn and cc not in country_names:
country_names[cc] = cn
# Build companion table from recent rows (geo already cached from batch step).
bans: list[DashboardBanItem] = []
for row in companion_rows:
ip = str(row["ip"])
geo = geo_map.get(ip)
cc = geo.country_code if geo else None
cn = geo.country_name if geo else None
asn: str | None = geo.asn if geo else None
org: str | None = geo.org if geo else None
matches, _ = _parse_data_json(row["data"])
@@ -384,11 +437,6 @@ async def bans_by_country(
)
)
if cc:
countries[cc] = countries.get(cc, 0) + 1
if cn and cc not in country_names:
country_names[cc] = cn
return BansByCountryResponse(
countries=countries,
country_names=country_names,

25
backend/app/services/blocklist_service.py
View File

@@ -245,6 +245,10 @@ async def import_source(
fail2ban requires individual addresses. Any error encountered during
download is recorded and the result is returned without raising.
After a successful import the geo cache is pre-warmed by batch-resolving
all newly banned IPs. This ensures the dashboard and map show country
data immediately after import rather than facing cold-cache lookups.
Args:
source: The :class:`~app.models.blocklist.BlocklistSource` to import.
http_session: Shared :class:`aiohttp.ClientSession`.
@@ -287,6 +291,7 @@ async def import_source(
imported = 0
skipped = 0
ban_error: str | None = None
imported_ips: list[str] = []
# Import jail_service here to avoid circular import at module level.
from app.services import jail_service # noqa: PLC0415
@@ -304,6 +309,7 @@ async def import_source(
try:
await jail_service.ban_ip(socket_path, BLOCKLIST_JAIL, stripped)
imported += 1
imported_ips.append(stripped)
except jail_service.JailNotFoundError as exc:
# The target jail does not exist in fail2ban — there is no point
# continuing because every subsequent ban would also fail.
@@ -329,6 +335,25 @@ async def import_source(
skipped=skipped,
error=ban_error,
)
# --- Pre-warm geo cache for newly imported IPs ---
if imported_ips:
from app.services import geo_service # noqa: PLC0415
try:
await geo_service.lookup_batch(imported_ips, http_session, db=db)
log.info(
"blocklist_geo_prewarm_complete",
source_id=source.id,
count=len(imported_ips),
)
except Exception as exc: # noqa: BLE001
log.warning(
"blocklist_geo_prewarm_failed",
source_id=source.id,
error=str(exc),
)
return ImportSourceResult(
source_id=source.id,
source_url=source.url,

303
backend/app/services/geo_service.py
View File

@@ -1,22 +1,39 @@
"""Geo service.
Resolves IP addresses to their country, ASN, and organisation using the
`ip-api.com <http://ip-api.com>`_ JSON API. Results are cached in memory
to avoid redundant HTTP requests for addresses that appear repeatedly.
`ip-api.com <http://ip-api.com>`_ JSON API. Results are cached in two tiers:
The free ip-api.com endpoint requires no API key and supports up to 45
requests per minute. Because results are cached indefinitely for the life
of the process, under normal load the rate limit is rarely approached.
1. **In-memory dict** — fastest; survives for the life of the process.
2. **Persistent SQLite table** (``geo_cache``) — survives restarts; loaded
into the in-memory dict during application startup via
:func:`load_cache_from_db`.
Only *successful* lookups (those returning a non-``None`` ``country_code``)
are written to the persistent cache. Failed lookups are **not** cached so
they will be retried on the next request.
For bulk operations the batch endpoint ``http://ip-api.com/batch`` is used
(up to 100 IPs per HTTP call) which is far more efficient than one-at-a-time
requests. Use :func:`lookup_batch` from the ban or blocklist services.
Usage::
import aiohttp
import aiosqlite
from app.services import geo_service
# warm the cache from the persistent store at startup
async with aiosqlite.connect("bangui.db") as db:
await geo_service.load_cache_from_db(db)
async with aiohttp.ClientSession() as session:
# single lookup
info = await geo_service.lookup("1.2.3.4", session)
if info:
print(info.country_code) # "DE"
# bulk lookup (more efficient for large sets)
geo_map = await geo_service.lookup_batch(["1.2.3.4", "5.6.7.8"], session)
"""
from __future__ import annotations
@@ -28,6 +45,7 @@ import structlog
if TYPE_CHECKING:
import aiohttp
import aiosqlite
log: structlog.stdlib.BoundLogger = structlog.get_logger()
@@ -36,12 +54,22 @@ log: structlog.stdlib.BoundLogger = structlog.get_logger()
# ---------------------------------------------------------------------------
#: ip-api.com single-IP lookup endpoint (HTTP only on the free tier).
_API_URL: str = "http://ip-api.com/json/{ip}?fields=status,message,country,countryCode,org,as"
_API_URL: str = (
"http://ip-api.com/json/{ip}?fields=status,message,country,countryCode,org,as"
)
#: ip-api.com batch endpoint — accepts up to 100 IPs per POST.
_BATCH_API_URL: str = (
"http://ip-api.com/batch?fields=status,message,country,countryCode,org,as,query"
)
#: Maximum IPs per batch request (ip-api.com hard limit is 100).
_BATCH_SIZE: int = 100
#: Maximum number of entries kept in the in-process cache before it is
#: flushed completely. A simple eviction strategy — the cache is cheap to
#: rebuild and memory is bounded.
_MAX_CACHE_SIZE: int = 10_000
#: rebuild from the persistent store.
_MAX_CACHE_SIZE: int = 50_000
#: Timeout for outgoing geo API requests in seconds.
_REQUEST_TIMEOUT: float = 5.0
@@ -89,25 +117,95 @@ def clear_cache() -> None:
# ---------------------------------------------------------------------------
# Public API
# Persistent cache I/O
# ---------------------------------------------------------------------------
async def lookup(ip: str, http_session: aiohttp.ClientSession) -> GeoInfo | None:
async def load_cache_from_db(db: aiosqlite.Connection) -> None:
"""Pre-populate the in-memory cache from the ``geo_cache`` table.
Should be called once during application startup so the service starts
with a warm cache instead of making cold API calls on the first request.
Args:
db: Open :class:`aiosqlite.Connection` to the BanGUI application
database (not the fail2ban database).
"""
count = 0
async with db.execute(
"SELECT ip, country_code, country_name, asn, org FROM geo_cache"
) as cur:
async for row in cur:
ip: str = str(row[0])
country_code: str | None = row[1]
if country_code is None:
continue
_cache[ip] = GeoInfo(
country_code=country_code,
country_name=row[2],
asn=row[3],
org=row[4],
)
count += 1
log.info("geo_cache_loaded_from_db", entries=count)
async def _persist_entry(
db: aiosqlite.Connection,
ip: str,
info: GeoInfo,
) -> None:
"""Upsert a resolved :class:`GeoInfo` into the ``geo_cache`` table.
Only called when ``info.country_code`` is not ``None`` so the persistent
store never contains empty placeholder rows.
Args:
db: BanGUI application database connection.
ip: IP address string.
info: Resolved geo data to persist.
"""
await db.execute(
"""
INSERT INTO geo_cache (ip, country_code, country_name, asn, org)
VALUES (?, ?, ?, ?, ?)
ON CONFLICT(ip) DO UPDATE SET
country_code = excluded.country_code,
country_name = excluded.country_name,
asn = excluded.asn,
org = excluded.org,
cached_at = strftime('%Y-%m-%dT%H:%M:%fZ', 'now')
""",
(ip, info.country_code, info.country_name, info.asn, info.org),
)
await db.commit()
# ---------------------------------------------------------------------------
# Public API — single lookup
# ---------------------------------------------------------------------------
async def lookup(
ip: str,
http_session: aiohttp.ClientSession,
db: aiosqlite.Connection | None = None,
) -> GeoInfo | None:
"""Resolve an IP address to country, ASN, and organisation metadata.
Results are cached in-process. If the cache exceeds ``_MAX_CACHE_SIZE``
entries it is flushed before the new result is stored, keeping memory
usage bounded.
entries it is flushed before the new result is stored.
Private, loopback, and link-local addresses are resolved to a placeholder
``GeoInfo`` with ``None`` values so callers are not blocked by pointless
API calls for RFC-1918 ranges.
Only successful resolutions (``country_code is not None``) are written to
the persistent cache when *db* is provided. Failed lookups are **not**
cached so they are retried on the next call.
Args:
ip: IPv4 or IPv6 address string.
http_session: Shared :class:`aiohttp.ClientSession` (from
``app.state.http_session``).
db: Optional BanGUI application database. When provided, successful
lookups are persisted for cross-restart cache warming.
Returns:
A :class:`GeoInfo` instance, or ``None`` when the lookup fails
@@ -135,37 +233,170 @@ async def lookup(ip: str, http_session: aiohttp.ClientSession) -> GeoInfo | None
ip=ip,
message=data.get("message", "unknown"),
)
# Still cache a negative result so we do not retry reserved IPs.
result = GeoInfo(country_code=None, country_name=None, asn=None, org=None)
_store(ip, result)
return result
# Do NOT cache failed lookups — they will be retried on the next call.
return GeoInfo(country_code=None, country_name=None, asn=None, org=None)
country_code: str | None = _str_or_none(data.get("countryCode"))
country_name: str | None = _str_or_none(data.get("country"))
asn_raw: str | None = _str_or_none(data.get("as"))
org_raw: str | None = _str_or_none(data.get("org"))
# ip-api returns the full "AS12345 Some Org" string in both "as" and "org".
# Extract just the AS number prefix for the asn field.
asn: str | None = asn_raw.split()[0] if asn_raw else None
org: str | None = org_raw
result = GeoInfo(
country_code=country_code,
country_name=country_name,
asn=asn,
org=org,
)
result = _parse_single_response(data)
_store(ip, result)
log.debug("geo_lookup_success", ip=ip, country=country_code, asn=asn)
if result.country_code is not None and db is not None:
try:
await _persist_entry(db, ip, result)
except Exception as exc: # noqa: BLE001
log.warning("geo_persist_failed", ip=ip, error=str(exc))
log.debug("geo_lookup_success", ip=ip, country=result.country_code, asn=result.asn)
return result
# ---------------------------------------------------------------------------
# Public API — batch lookup
# ---------------------------------------------------------------------------
async def lookup_batch(
ips: list[str],
http_session: aiohttp.ClientSession,
db: aiosqlite.Connection | None = None,
) -> dict[str, GeoInfo]:
"""Resolve multiple IP addresses in bulk using ip-api.com batch endpoint.
IPs already present in the in-memory cache are returned immediately
without making an HTTP request. Uncached IPs are sent to
``http://ip-api.com/batch`` in chunks of up to :data:`_BATCH_SIZE`.
Only successful resolutions (``country_code is not None``) are written to
the persistent cache when *db* is provided.
Args:
ips: List of IP address strings to resolve. Duplicates are ignored.
http_session: Shared :class:`aiohttp.ClientSession`.
db: Optional BanGUI application database for persistent cache writes.
Returns:
Dict mapping ``ip → GeoInfo`` for every input IP. IPs whose
resolution failed will have a ``GeoInfo`` with all-``None`` fields.
"""
geo_result: dict[str, GeoInfo] = {}
uncached: list[str] = []
unique_ips = list(dict.fromkeys(ips)) # deduplicate, preserve order
for ip in unique_ips:
if ip in _cache:
geo_result[ip] = _cache[ip]
else:
uncached.append(ip)
if not uncached:
return geo_result
log.info("geo_batch_lookup_start", total=len(uncached))
for chunk_start in range(0, len(uncached), _BATCH_SIZE):
chunk = uncached[chunk_start : chunk_start + _BATCH_SIZE]
chunk_result = await _batch_api_call(chunk, http_session)
for ip, info in chunk_result.items():
_store(ip, info)
geo_result[ip] = info
if info.country_code is not None and db is not None:
try:
await _persist_entry(db, ip, info)
except Exception as exc: # noqa: BLE001
log.warning("geo_persist_failed", ip=ip, error=str(exc))
log.info(
"geo_batch_lookup_complete",
requested=len(uncached),
resolved=sum(1 for g in geo_result.values() if g.country_code is not None),
)
return geo_result
async def _batch_api_call(
ips: list[str],
http_session: aiohttp.ClientSession,
) -> dict[str, GeoInfo]:
"""Send one batch request to the ip-api.com batch endpoint.
Args:
ips: Up to :data:`_BATCH_SIZE` IP address strings.
http_session: Shared HTTP session.
Returns:
Dict mapping ``ip → GeoInfo`` for every IP in *ips*. IPs where the
API returned a failure record or the request raised an exception get
an all-``None`` :class:`GeoInfo`.
"""
empty = GeoInfo(country_code=None, country_name=None, asn=None, org=None)
fallback: dict[str, GeoInfo] = dict.fromkeys(ips, empty)
payload = [{"query": ip} for ip in ips]
try:
async with http_session.post(
_BATCH_API_URL,
json=payload,
timeout=_REQUEST_TIMEOUT * 2, # type: ignore[arg-type]
) as resp:
if resp.status != 200:
log.warning("geo_batch_non_200", status=resp.status, count=len(ips))
return fallback
data: list[dict[str, object]] = await resp.json(content_type=None)
except Exception as exc: # noqa: BLE001
log.warning("geo_batch_request_failed", count=len(ips), error=str(exc))
return fallback
out: dict[str, GeoInfo] = {}
for entry in data:
ip_str: str = str(entry.get("query", ""))
if not ip_str:
continue
if entry.get("status") != "success":
out[ip_str] = empty
log.debug(
"geo_batch_entry_failed",
ip=ip_str,
message=entry.get("message", "unknown"),
)
continue
out[ip_str] = _parse_single_response(entry)
# Fill any IPs missing from the response.
for ip in ips:
if ip not in out:
out[ip] = empty
return out
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _parse_single_response(data: dict[str, object]) -> GeoInfo:
"""Build a :class:`GeoInfo` from a single ip-api.com response dict.
Args:
data: A ``status == "success"`` JSON response from ip-api.com.
Returns:
Populated :class:`GeoInfo`.
"""
country_code: str | None = _str_or_none(data.get("countryCode"))
country_name: str | None = _str_or_none(data.get("country"))
asn_raw: str | None = _str_or_none(data.get("as"))
org_raw: str | None = _str_or_none(data.get("org"))
# ip-api returns "AS12345 Some Org" in both "as" and "org".
asn: str | None = asn_raw.split()[0] if asn_raw else None
return GeoInfo(
country_code=country_code,
country_name=country_name,
asn=asn,
org=org_raw,
)
def _str_or_none(value: object) -> str | None:
"""Return *value* as a non-empty string, or ``None``.