Files
comunidadhll/backend/app/historical_snapshots.py
2026-06-04 09:26:38 +02:00

843 lines
28 KiB
Python

"""Definitions for persisted precomputed historical snapshots."""
from __future__ import annotations
import json
import sqlite3
from datetime import datetime, timezone
from pathlib import Path
from .config import get_database_url, get_historical_data_source_kind
from .data_sources import SOURCE_KIND_RCON, get_rcon_historical_read_model
from .historical_storage import (
ALL_SERVERS_SLUG,
list_historical_server_summaries,
list_historical_servers,
list_monthly_leaderboard,
list_monthly_mvp_ranking,
list_monthly_mvp_v2_ranking,
list_recent_historical_matches,
list_weekly_leaderboard,
)
from .player_event_aggregates import (
list_death_by,
list_most_killed,
list_net_duel_summaries,
list_teamkill_summaries,
list_weapon_kills,
)
from .player_event_storage import initialize_player_event_storage
SNAPSHOT_TYPE_SERVER_SUMMARY = "server-summary"
SNAPSHOT_TYPE_WEEKLY_LEADERBOARD = "weekly-leaderboard"
SNAPSHOT_TYPE_MONTHLY_LEADERBOARD = "monthly-leaderboard"
SNAPSHOT_TYPE_MONTHLY_MVP = "monthly-mvp"
SNAPSHOT_TYPE_MONTHLY_MVP_V2 = "monthly-mvp-v2"
SNAPSHOT_TYPE_RECENT_MATCHES = "recent-matches"
SNAPSHOT_TYPE_PLAYER_EVENT_MOST_KILLED = "player-event-most-killed"
SNAPSHOT_TYPE_PLAYER_EVENT_DEATH_BY = "player-event-death-by"
SNAPSHOT_TYPE_PLAYER_EVENT_DUELS = "player-event-duels"
SNAPSHOT_TYPE_PLAYER_EVENT_WEAPON_KILLS = "player-event-weapon-kills"
SNAPSHOT_TYPE_PLAYER_EVENT_TEAMKILLS = "player-event-teamkills"
SUPPORTED_SNAPSHOT_TYPES = frozenset(
{
SNAPSHOT_TYPE_SERVER_SUMMARY,
SNAPSHOT_TYPE_WEEKLY_LEADERBOARD,
SNAPSHOT_TYPE_MONTHLY_LEADERBOARD,
SNAPSHOT_TYPE_MONTHLY_MVP,
SNAPSHOT_TYPE_MONTHLY_MVP_V2,
SNAPSHOT_TYPE_RECENT_MATCHES,
SNAPSHOT_TYPE_PLAYER_EVENT_MOST_KILLED,
SNAPSHOT_TYPE_PLAYER_EVENT_DEATH_BY,
SNAPSHOT_TYPE_PLAYER_EVENT_DUELS,
SNAPSHOT_TYPE_PLAYER_EVENT_WEAPON_KILLS,
SNAPSHOT_TYPE_PLAYER_EVENT_TEAMKILLS,
}
)
SUPPORTED_LEADERBOARD_METRICS = frozenset(
{
"kills",
"deaths",
"support",
"matches_over_100_kills",
}
)
PREWARM_SNAPSHOT_SERVER_KEYS = (
"comunidad-hispana-01",
"comunidad-hispana-02",
ALL_SERVERS_SLUG,
)
PREWARM_LEADERBOARD_METRICS = ("kills",)
SNAPSHOT_LEADERBOARD_METRICS = (
"kills",
"deaths",
"matches_over_100_kills",
"support",
)
PLAYER_EVENT_SNAPSHOT_TYPES = (
SNAPSHOT_TYPE_PLAYER_EVENT_MOST_KILLED,
SNAPSHOT_TYPE_PLAYER_EVENT_DEATH_BY,
SNAPSHOT_TYPE_PLAYER_EVENT_DUELS,
SNAPSHOT_TYPE_PLAYER_EVENT_WEAPON_KILLS,
SNAPSHOT_TYPE_PLAYER_EVENT_TEAMKILLS,
)
DEFAULT_SNAPSHOT_WINDOW = "all-time"
DEFAULT_WEEKLY_SNAPSHOT_WINDOW = "7d"
DEFAULT_MONTHLY_SNAPSHOT_WINDOW = "month"
DEFAULT_WEEKLY_LEADERBOARD_LIMIT = 10
DEFAULT_RECENT_MATCHES_LIMIT = 20
def validate_snapshot_identity(
*,
snapshot_type: str,
metric: str | None = None,
) -> None:
"""Validate the persisted snapshot selectors accepted by the storage layer."""
if snapshot_type not in SUPPORTED_SNAPSHOT_TYPES:
raise ValueError(f"Unsupported historical snapshot type: {snapshot_type}")
if snapshot_type in {
SNAPSHOT_TYPE_WEEKLY_LEADERBOARD,
SNAPSHOT_TYPE_MONTHLY_LEADERBOARD,
}:
if metric not in SUPPORTED_LEADERBOARD_METRICS:
raise ValueError(f"Unsupported historical snapshot metric: {metric}")
return
if metric is not None:
raise ValueError(
"Metric is only supported for weekly-leaderboard and monthly-leaderboard."
)
def list_snapshot_server_keys(*, db_path: Path | None = None) -> list[str]:
"""Return the historical server slugs that should receive persisted snapshots."""
server_keys = [
str(item["slug"])
for item in list_historical_servers(db_path=db_path)
if item.get("slug")
]
server_keys.append(ALL_SERVERS_SLUG)
return server_keys
def build_historical_server_snapshots(
*,
server_key: str,
generated_at: datetime | None = None,
leaderboard_limit: int = DEFAULT_WEEKLY_LEADERBOARD_LIMIT,
recent_matches_limit: int = DEFAULT_RECENT_MATCHES_LIMIT,
db_path: Path | None = None,
) -> list[dict[str, object]]:
"""Build all precomputed historical snapshots required for one server."""
generated_at_value = _as_utc(generated_at or datetime.now(timezone.utc))
leaderboard_limit = _normalize_snapshot_limit("leaderboard_limit", leaderboard_limit)
recent_matches_limit = _normalize_snapshot_limit(
"recent_matches_limit",
recent_matches_limit,
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_SERVER_SUMMARY)
snapshots = [_build_server_summary_snapshot(server_key, generated_at_value, db_path=db_path)]
for metric in SNAPSHOT_LEADERBOARD_METRICS:
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_WEEKLY_LEADERBOARD, metric=metric)
snapshots.append(
_build_weekly_leaderboard_snapshot(
server_key,
metric,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_MONTHLY_LEADERBOARD, metric=metric)
snapshots.append(
_build_monthly_leaderboard_snapshot(
server_key,
metric,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_MONTHLY_MVP)
snapshots.append(
_build_monthly_mvp_snapshot(
server_key,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_MONTHLY_MVP_V2)
snapshots.append(
_build_monthly_mvp_v2_snapshot(
server_key,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
for snapshot_type in PLAYER_EVENT_SNAPSHOT_TYPES:
_log_snapshot_build_started(server_key, snapshot_type)
snapshots.append(
_build_player_event_snapshot(
server_key,
snapshot_type,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_RECENT_MATCHES)
snapshots.append(
_build_recent_matches_snapshot(
server_key,
generated_at_value,
limit=recent_matches_limit,
db_path=db_path,
)
)
return snapshots
def build_priority_historical_snapshots(
*,
server_keys: tuple[str, ...] = PREWARM_SNAPSHOT_SERVER_KEYS,
generated_at: datetime | None = None,
leaderboard_limit: int = DEFAULT_WEEKLY_LEADERBOARD_LIMIT,
recent_matches_limit: int = DEFAULT_RECENT_MATCHES_LIMIT,
db_path: Path | None = None,
) -> list[dict[str, object]]:
"""Build the minimum warm snapshot set required by the historical UI."""
generated_at_value = _as_utc(generated_at or datetime.now(timezone.utc))
leaderboard_limit = _normalize_snapshot_limit("leaderboard_limit", leaderboard_limit)
recent_matches_limit = _normalize_snapshot_limit(
"recent_matches_limit",
recent_matches_limit,
)
snapshots: list[dict[str, object]] = []
for server_key in server_keys:
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_SERVER_SUMMARY)
snapshots.append(
_build_server_summary_snapshot(server_key, generated_at_value, db_path=db_path)
)
for metric in PREWARM_LEADERBOARD_METRICS:
_log_snapshot_build_started(
server_key,
SNAPSHOT_TYPE_WEEKLY_LEADERBOARD,
metric=metric,
)
snapshots.append(
_build_weekly_leaderboard_snapshot(
server_key,
metric,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(
server_key,
SNAPSHOT_TYPE_MONTHLY_LEADERBOARD,
metric=metric,
)
snapshots.append(
_build_monthly_leaderboard_snapshot(
server_key,
metric,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_MONTHLY_MVP)
snapshots.append(
_build_monthly_mvp_snapshot(
server_key,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_MONTHLY_MVP_V2)
snapshots.append(
_build_monthly_mvp_v2_snapshot(
server_key,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
for snapshot_type in PLAYER_EVENT_SNAPSHOT_TYPES:
_log_snapshot_build_started(server_key, snapshot_type)
snapshots.append(
_build_player_event_snapshot(
server_key,
snapshot_type,
generated_at_value,
limit=leaderboard_limit,
db_path=db_path,
)
)
_log_snapshot_build_started(server_key, SNAPSHOT_TYPE_RECENT_MATCHES)
snapshots.append(
_build_recent_matches_snapshot(
server_key,
generated_at_value,
limit=recent_matches_limit,
db_path=db_path,
)
)
return snapshots
def build_all_historical_snapshots(
*,
server_key: str | None = None,
generated_at: datetime | None = None,
leaderboard_limit: int = DEFAULT_WEEKLY_LEADERBOARD_LIMIT,
recent_matches_limit: int = DEFAULT_RECENT_MATCHES_LIMIT,
db_path: Path | None = None,
) -> list[dict[str, object]]:
"""Build the full snapshot set for one server or for all configured servers."""
target_server_keys = _resolve_snapshot_target_keys(server_key=server_key, db_path=db_path)
snapshots: list[dict[str, object]] = []
for target_server_key in target_server_keys:
snapshots.extend(
build_historical_server_snapshots(
server_key=target_server_key,
generated_at=generated_at,
leaderboard_limit=leaderboard_limit,
recent_matches_limit=recent_matches_limit,
db_path=db_path,
)
)
return snapshots
def generate_and_persist_historical_snapshots(
*,
server_key: str | None = None,
generated_at: datetime | None = None,
leaderboard_limit: int = DEFAULT_WEEKLY_LEADERBOARD_LIMIT,
recent_matches_limit: int = DEFAULT_RECENT_MATCHES_LIMIT,
db_path: Path | None = None,
) -> dict[str, object]:
"""Build and persist precomputed snapshots for one server or all servers."""
from .historical_snapshot_storage import persist_historical_snapshot_batch
generated_at_value = _as_utc(generated_at or datetime.now(timezone.utc))
snapshots = build_all_historical_snapshots(
server_key=server_key,
generated_at=generated_at_value,
leaderboard_limit=leaderboard_limit,
recent_matches_limit=recent_matches_limit,
db_path=db_path,
)
persisted_records = persist_historical_snapshot_batch(snapshots, db_path=db_path)
snapshots_by_server: dict[str, int] = {}
for record in persisted_records:
snapshots_by_server.setdefault(record.server_key, 0)
snapshots_by_server[record.server_key] += 1
return {
"generated_at": _to_iso(generated_at_value),
"server_slug": server_key,
"snapshot_policy": "full-matrix",
"snapshot_count": len(persisted_records),
"servers_processed": len(snapshots_by_server),
"snapshots_by_server": snapshots_by_server,
}
def generate_and_persist_priority_historical_snapshots(
*,
generated_at: datetime | None = None,
leaderboard_limit: int = DEFAULT_WEEKLY_LEADERBOARD_LIMIT,
recent_matches_limit: int = DEFAULT_RECENT_MATCHES_LIMIT,
db_path: Path | None = None,
) -> dict[str, object]:
"""Build and persist the priority snapshot set used for prewarm."""
from .historical_snapshot_storage import persist_historical_snapshot_batch
generated_at_value = _as_utc(generated_at or datetime.now(timezone.utc))
snapshots = build_priority_historical_snapshots(
generated_at=generated_at_value,
leaderboard_limit=leaderboard_limit,
recent_matches_limit=recent_matches_limit,
db_path=db_path,
)
persisted_records = persist_historical_snapshot_batch(snapshots, db_path=db_path)
snapshots_by_server: dict[str, int] = {}
for record in persisted_records:
snapshots_by_server.setdefault(record.server_key, 0)
snapshots_by_server[record.server_key] += 1
return {
"generated_at": _to_iso(generated_at_value),
"server_slug": None,
"snapshot_policy": "priority-prewarm",
"prewarm_server_keys": list(PREWARM_SNAPSHOT_SERVER_KEYS),
"prewarm_metrics": list(PREWARM_LEADERBOARD_METRICS),
"snapshot_count": len(persisted_records),
"servers_processed": len(snapshots_by_server),
"snapshots_by_server": snapshots_by_server,
}
def _build_server_summary_snapshot(
server_key: str,
generated_at: datetime,
*,
db_path: Path | None = None,
) -> dict[str, object]:
if get_historical_data_source_kind() == SOURCE_KIND_RCON:
data_source = get_rcon_historical_read_model()
summary_items = (
data_source.list_server_summaries(server_key=server_key)
if data_source is not None
else []
)
else:
summary_items = list_historical_server_summaries(server_slug=server_key, db_path=db_path)
summary_item = summary_items[0] if summary_items else {}
time_range = summary_item.get("time_range") if isinstance(summary_item, dict) else {}
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_SERVER_SUMMARY,
"metric": None,
"window": DEFAULT_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": _parse_optional_timestamp(time_range.get("start")),
"source_range_end": _parse_optional_timestamp(time_range.get("end")),
"is_stale": False,
"payload": {
"server_key": server_key,
"generated_at": _to_iso(generated_at),
"item": summary_item,
},
}
def _build_weekly_leaderboard_snapshot(
server_key: str,
metric: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
if get_historical_data_source_kind() == SOURCE_KIND_RCON:
from .rcon_historical_leaderboards import list_rcon_materialized_leaderboard
leaderboard_result = list_rcon_materialized_leaderboard(
limit=limit,
server_key=server_key,
metric=metric,
timeframe="weekly",
db_path=db_path,
now=generated_at,
)
else:
leaderboard_result = list_weekly_leaderboard(
limit=limit,
server_id=server_key,
metric=metric,
db_path=db_path,
)
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_WEEKLY_LEADERBOARD,
"metric": metric,
"window": DEFAULT_WEEKLY_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": _parse_optional_timestamp(leaderboard_result.get("window_start")),
"source_range_end": _parse_optional_timestamp(leaderboard_result.get("window_end")),
"is_stale": False,
"payload": {
"server_key": server_key,
"metric": metric,
"limit": limit,
"generated_at": _to_iso(generated_at),
**leaderboard_result,
},
}
def _build_monthly_leaderboard_snapshot(
server_key: str,
metric: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
if get_historical_data_source_kind() == SOURCE_KIND_RCON:
from .rcon_historical_leaderboards import list_rcon_materialized_leaderboard
leaderboard_result = list_rcon_materialized_leaderboard(
limit=limit,
server_key=server_key,
metric=metric,
timeframe="monthly",
db_path=db_path,
now=generated_at,
)
else:
leaderboard_result = list_monthly_leaderboard(
limit=limit,
server_id=server_key,
metric=metric,
db_path=db_path,
)
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_MONTHLY_LEADERBOARD,
"metric": metric,
"window": DEFAULT_MONTHLY_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": _parse_optional_timestamp(leaderboard_result.get("window_start")),
"source_range_end": _parse_optional_timestamp(leaderboard_result.get("window_end")),
"is_stale": False,
"payload": {
"server_key": server_key,
"metric": metric,
"limit": limit,
"generated_at": _to_iso(generated_at),
**leaderboard_result,
},
}
def _build_recent_matches_snapshot(
server_key: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
if get_historical_data_source_kind() == SOURCE_KIND_RCON:
data_source = get_rcon_historical_read_model()
items = (
data_source.list_recent_activity(server_key=server_key, limit=limit)
if data_source is not None
else []
)
else:
items = list_recent_historical_matches(
limit=limit,
server_slug=server_key,
db_path=db_path,
)
closed_points = [
_parse_optional_timestamp(item.get("closed_at"))
for item in items
if isinstance(item, dict) and item.get("closed_at")
]
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_RECENT_MATCHES,
"metric": None,
"window": DEFAULT_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": min(closed_points) if closed_points else None,
"source_range_end": max(closed_points) if closed_points else None,
"is_stale": False,
"payload": {
"server_key": server_key,
"limit": limit,
"generated_at": _to_iso(generated_at),
"items": items,
},
}
def _build_player_event_snapshot(
server_key: str,
snapshot_type: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
month_key = _get_latest_player_event_month_key(server_key=server_key, db_path=db_path)
source_range_start = None
source_range_end = None
items: list[dict[str, object]] = []
found = False
if month_key:
source_range_start, source_range_end = _get_player_event_source_range(
server_key=server_key,
month_key=month_key,
db_path=db_path,
)
items = _list_player_event_snapshot_items(
snapshot_type=snapshot_type,
server_key=server_key,
month_key=month_key,
limit=limit,
db_path=db_path,
)
found = bool(items or source_range_start or source_range_end)
return {
"server_key": server_key,
"snapshot_type": snapshot_type,
"metric": None,
"window": DEFAULT_MONTHLY_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": source_range_start,
"source_range_end": source_range_end,
"is_stale": False,
"payload": {
"server_key": server_key,
"period": "monthly",
"month_key": month_key,
"limit": limit,
"found": found,
"generated_at": _to_iso(generated_at),
"source_range_start": _to_iso(source_range_start) if source_range_start else None,
"source_range_end": _to_iso(source_range_end) if source_range_end else None,
"items": items,
},
}
def _build_monthly_mvp_snapshot(
server_key: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
ranking_result = list_monthly_mvp_ranking(
limit=limit,
server_id=server_key,
db_path=db_path,
)
month_key = str(ranking_result.get("window_start") or "")[:7] or None
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_MONTHLY_MVP,
"metric": None,
"window": DEFAULT_MONTHLY_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": _parse_optional_timestamp(ranking_result.get("window_start")),
"source_range_end": _parse_optional_timestamp(ranking_result.get("window_end")),
"is_stale": False,
"payload": {
"server_key": server_key,
"limit": limit,
"month_key": month_key,
"generated_at": _to_iso(generated_at),
**ranking_result,
},
}
def _build_monthly_mvp_v2_snapshot(
server_key: str,
generated_at: datetime,
*,
limit: int,
db_path: Path | None = None,
) -> dict[str, object]:
ranking_result = list_monthly_mvp_v2_ranking(
limit=limit,
server_id=server_key,
db_path=db_path,
)
month_key = str(ranking_result.get("window_start") or "")[:7] or None
event_coverage = ranking_result.get("event_coverage")
source_range_start = None
source_range_end = None
if isinstance(event_coverage, dict):
source_range_start = _parse_optional_timestamp(event_coverage.get("source_range_start"))
source_range_end = _parse_optional_timestamp(event_coverage.get("source_range_end"))
return {
"server_key": server_key,
"snapshot_type": SNAPSHOT_TYPE_MONTHLY_MVP_V2,
"metric": None,
"window": DEFAULT_MONTHLY_SNAPSHOT_WINDOW,
"generated_at": generated_at,
"source_range_start": source_range_start,
"source_range_end": source_range_end,
"is_stale": False,
"payload": {
"server_key": server_key,
"limit": limit,
"month_key": month_key,
"found": bool(event_coverage.get("ready")) if isinstance(event_coverage, dict) else False,
"generated_at": _to_iso(generated_at),
**ranking_result,
},
}
def _resolve_snapshot_target_keys(
*,
server_key: str | None,
db_path: Path | None = None,
) -> list[str]:
"""Expand targeted rebuilds so the logical global aggregate stays in sync."""
if not server_key:
return list_snapshot_server_keys(db_path=db_path)
normalized_server_key = server_key.strip()
if not normalized_server_key:
return list_snapshot_server_keys(db_path=db_path)
if normalized_server_key == ALL_SERVERS_SLUG:
return [ALL_SERVERS_SLUG]
return [normalized_server_key, ALL_SERVERS_SLUG]
def _list_player_event_snapshot_items(
*,
snapshot_type: str,
server_key: str,
month_key: str,
limit: int,
db_path: Path | None,
) -> list[dict[str, object]]:
aggregator_by_snapshot_type = {
SNAPSHOT_TYPE_PLAYER_EVENT_MOST_KILLED: list_most_killed,
SNAPSHOT_TYPE_PLAYER_EVENT_DEATH_BY: list_death_by,
SNAPSHOT_TYPE_PLAYER_EVENT_DUELS: list_net_duel_summaries,
SNAPSHOT_TYPE_PLAYER_EVENT_WEAPON_KILLS: list_weapon_kills,
SNAPSHOT_TYPE_PLAYER_EVENT_TEAMKILLS: list_teamkill_summaries,
}
aggregator = aggregator_by_snapshot_type[snapshot_type]
return aggregator(
server_slug=server_key,
month=month_key,
limit=limit,
db_path=db_path,
)
def _get_latest_player_event_month_key(
*,
server_key: str,
db_path: Path | None = None,
) -> str | None:
resolved_path = initialize_player_event_storage(db_path=db_path)
where_sql, params = _build_player_event_scope_where(server_key=server_key)
with _connect(resolved_path) as connection:
row = connection.execute(
f"""
SELECT MAX(substr(CAST(occurred_at AS TEXT), 1, 7)) AS latest_month
FROM player_event_raw_ledger
WHERE occurred_at IS NOT NULL
AND {where_sql}
""",
params,
).fetchone()
if not row or not row["latest_month"]:
return None
return str(row["latest_month"])
def _get_player_event_source_range(
*,
server_key: str,
month_key: str,
db_path: Path | None = None,
) -> tuple[datetime | None, datetime | None]:
resolved_path = initialize_player_event_storage(db_path=db_path)
where_sql, params = _build_player_event_scope_where(server_key=server_key)
with _connect(resolved_path) as connection:
row = connection.execute(
f"""
SELECT
MIN(occurred_at) AS source_range_start,
MAX(occurred_at) AS source_range_end
FROM player_event_raw_ledger
WHERE occurred_at IS NOT NULL
AND substr(CAST(occurred_at AS TEXT), 1, 7) = ?
AND {where_sql}
""",
[month_key, *params],
).fetchone()
if not row:
return None, None
return (
_parse_optional_timestamp(row["source_range_start"]),
_parse_optional_timestamp(row["source_range_end"]),
)
def _build_player_event_scope_where(*, server_key: str) -> tuple[str, list[object]]:
if server_key == ALL_SERVERS_SLUG:
return "1 = 1", []
return "server_slug = ?", [server_key]
def _connect(db_path: Path) -> sqlite3.Connection:
if get_database_url():
from .postgres_display_storage import connect_postgres_compat
return connect_postgres_compat()
connection = sqlite3.connect(db_path)
connection.row_factory = sqlite3.Row
return connection
def _parse_optional_timestamp(value: object) -> datetime | None:
if not isinstance(value, str) or not value.strip():
return None
normalized = value.strip().replace("Z", "+00:00")
parsed = datetime.fromisoformat(normalized)
if parsed.tzinfo is None:
return parsed.replace(tzinfo=timezone.utc)
return parsed.astimezone(timezone.utc)
def _as_utc(value: datetime) -> datetime:
if value.tzinfo is None:
return value.replace(tzinfo=timezone.utc)
return value.astimezone(timezone.utc)
def _to_iso(value: datetime) -> str:
return _as_utc(value).isoformat().replace("+00:00", "Z")
def _normalize_snapshot_limit(name: str, value: object) -> int:
try:
limit = int(value)
except (TypeError, ValueError) as error:
raise ValueError(f"{name} must be a positive integer.") from error
if limit <= 0:
raise ValueError(f"{name} must be a positive integer.")
return limit
def _log_snapshot_build_started(
server_key: str,
snapshot_type: str,
*,
metric: str | None = None,
) -> None:
print(
json.dumps(
{
"event": "historical-snapshot-build-started",
"server_key": server_key,
"snapshot_type": snapshot_type,
"metric": metric,
},
ensure_ascii=True,
default=str,
),
flush=True,
)