mirror of
https://github.com/BerriAI/litellm.git
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perf(proxy): serve key-free rollups and top-N keys from one UNION ALL statement
Both arms now run in a single query_raw call so totals and per-key breakdowns come from the same snapshot. USAGE_TOP_API_KEYS_LIMIT can be raised via env for deployments that need every key in the response. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
parent
a0311dddf7
commit
f94a40f841
3 changed files with 87 additions and 150 deletions
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@ -2027,10 +2027,7 @@ MCP_SPEND_LOG_MODEL_PREFIX: Final[str] = "MCP: "
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PTU_SENTINEL_API_KEY: Final[str] = "__ptu_flat_cost__"
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PTU_ROLLUP_JOB_ID: Final[str] = "ptu_flat_cost_rollup_job"
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PTU_ROLLUP_LOCK_TTL_SECONDS: Final[int] = 900
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# Per-api_key rollups on the aggregated usage endpoint cover only the top N keys
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# by spend so the result set stops growing with key count. Totals and the
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# model/provider/endpoint rollups still cover every key.
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USAGE_TOP_API_KEYS_LIMIT: Final[int] = 100
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USAGE_TOP_API_KEYS_LIMIT: Final[int] = int(os.getenv("USAGE_TOP_API_KEYS_LIMIT", "100"))
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# Furthest back the catch-up pass looks for unpriced PTU days when a deployment
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# declares no ptu_effective_from, bounding the scan for an open-ended window.
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PTU_ROLLUP_MAX_BACKFILL_DAYS: Final[int] = 90
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@ -170,8 +170,6 @@ class _EntityRollupRow(_GroupingSetsRow):
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class _AggregatedQueryKwargs(TypedDict):
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"""Filter arguments shared by the three aggregated SQL builders."""
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table_name: ReadOnly[str]
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entity_id_field: ReadOnly[str]
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entity_id: ReadOnly[str | list[str] | None]
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@ -749,16 +747,14 @@ def _build_aggregated_sql_query(
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timezone_offset_minutes: int | None = None,
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include_current_utc_day: bool = False,
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) -> tuple[str, list[str]]: # mutable-ok: SQL text plus its ordered $N params
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"""Build the key-free GROUPING SETS query for aggregated daily activity.
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"""Build the GROUPING SETS query for aggregated daily activity.
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Emits the grand total, per-date totals and the per-(date, model), model_group,
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provider, mcp tool and endpoint rollups. api_key is never a grouping column here,
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so the row count is bounded by dates x distinct models/providers/endpoints and
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does not grow with the number of keys. Per-key rollups come from
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_build_top_api_keys_sql_query. Both queries emit the same 7-bit group_level
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bitmask (date, api_key, model, model_group, provider, mcp, endpoint); this one
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hard-codes the api_key bit to "rolled up" so the dispatcher can consume the two
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result sets as one stream.
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One statement, two UNION ALL arms over the same WHERE clause. The first arm is
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key-free: grand total, per-date totals and the (date, model / model_group /
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provider / mcp / endpoint) rollups, so its row count never grows with the number
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of keys. The second arm emits the (date, <dimension>, api_key) rollups for the
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USAGE_TOP_API_KEYS_LIMIT highest-spend keys only. Both arms share the 7-bit
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group_level bitmask (date, api_key, model, model_group, provider, mcp, endpoint).
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Returns:
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Tuple of (sql_query, params_list) ready for prisma_client.db.query_raw().
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@ -771,77 +767,6 @@ def _build_aggregated_sql_query(
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start_date, end_date, timezone_offset_minutes, include_current_utc_day
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)
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where_clause, sql_params = _build_aggregated_where_clause(
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entity_id_field=entity_id_field,
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entity_id=entity_id,
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adjusted_start=adjusted_start,
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adjusted_end=adjusted_end,
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model=model,
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api_key=api_key,
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exclude_entity_ids=exclude_entity_ids,
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)
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# TODO: drop the successful_requests/failed_requests aggregates (and the
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# total_successful_requests metadata they feed) once the admin UI reads SGR
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# only from LiteLLM_DailyGatewayRequests. The remaining spend, token and
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# api_requests rollups are still served from here.
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sql_query: Final = f"""
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SELECT
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date,
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NULL::text AS api_key,
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model,
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{_MODEL_GROUP_EXPR} AS model_group,
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custom_llm_provider,
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mcp_namespaced_tool_name,
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endpoint,
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(GROUPING(date) << 6) | {_API_KEY_ROLLED_UP_BIT}
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| GROUPING(model, {_MODEL_GROUP_EXPR},
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custom_llm_provider, mcp_namespaced_tool_name,
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endpoint) AS group_level,{_rollup_metric_select(table_name)}
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FROM "{pg_table}"
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WHERE {where_clause}
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GROUP BY GROUPING SETS (
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(date),
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(date, model),
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(date, {_MODEL_GROUP_EXPR}),
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(date, custom_llm_provider),
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(date, mcp_namespaced_tool_name),
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(date, endpoint),
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()
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)
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"""
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return sql_query, sql_params
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def _build_top_api_keys_sql_query(
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*,
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table_name: str,
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entity_id_field: str,
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entity_id: str | list[str] | None, # mutable-ok: filter union shared with the paginated path
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start_date: str,
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end_date: str,
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model: str | None,
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api_key: str | list[str] | None, # mutable-ok: filter union shared with the paginated path
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exclude_entity_ids: list[str] | None = None, # mutable-ok: filter union shared with the paginated path
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timezone_offset_minutes: int | None = None,
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include_current_utc_day: bool = False,
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) -> tuple[str, list[str]]: # mutable-ok: SQL text plus its ordered $N params
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"""Per-key companion to _build_aggregated_sql_query.
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Ranks keys by spend over the same WHERE clause, keeps the top
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USAGE_TOP_API_KEYS_LIMIT (ties broken by api_key so the set is stable across
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refreshes) and emits the six (date, <dimension>, api_key) rollups for those keys
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only. The PTU flat-cost sentinel never ranks, so it cannot occupy a visible slot.
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"""
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pg_table: Final = _PRISMA_TO_PG_TABLE.get(table_name)
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if pg_table is None:
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raise ValueError(f"Unknown table name: {table_name}")
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adjusted_start, adjusted_end = _adjust_dates_for_timezone(
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start_date, end_date, timezone_offset_minutes, include_current_utc_day
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)
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where_clause, where_params = _build_aggregated_where_clause(
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entity_id_field=entity_id_field,
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entity_id=entity_id,
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@ -852,9 +777,38 @@ def _build_top_api_keys_sql_query(
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exclude_entity_ids=exclude_entity_ids,
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)
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sentinel_param: Final = f"${len(where_params) + 1}"
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metric_select: Final = _rollup_metric_select(table_name)
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# TODO: drop the successful_requests/failed_requests aggregates (and the
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# total_successful_requests metadata they feed) once the admin UI reads SGR
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# only from LiteLLM_DailyGatewayRequests. The remaining spend, token and
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# api_requests rollups are still served from here.
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sql_query: Final = f"""
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WITH top_api_keys AS (
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(SELECT
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date,
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NULL::text AS api_key,
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model,
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{_MODEL_GROUP_EXPR} AS model_group,
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custom_llm_provider,
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mcp_namespaced_tool_name,
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endpoint,
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(GROUPING(date) << 6) | {_API_KEY_ROLLED_UP_BIT}
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| GROUPING(model, {_MODEL_GROUP_EXPR},
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custom_llm_provider, mcp_namespaced_tool_name,
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endpoint) AS group_level,{metric_select}
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FROM "{pg_table}"
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WHERE {where_clause}
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GROUP BY GROUPING SETS (
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(date),
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(date, model),
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(date, {_MODEL_GROUP_EXPR}),
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(date, custom_llm_provider),
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(date, mcp_namespaced_tool_name),
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(date, endpoint),
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()
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))
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UNION ALL
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(WITH top_api_keys AS (
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SELECT api_key
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FROM "{pg_table}"
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WHERE {where_clause} AND api_key <> {sentinel_param}
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@ -872,7 +826,7 @@ def _build_top_api_keys_sql_query(
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endpoint,
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GROUPING(date, api_key, model, {_MODEL_GROUP_EXPR},
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custom_llm_provider, mcp_namespaced_tool_name,
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endpoint) AS group_level,{_rollup_metric_select(table_name)}
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endpoint) AS group_level,{metric_select}
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FROM "{pg_table}"
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WHERE {where_clause} AND api_key IN (SELECT api_key FROM top_api_keys)
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GROUP BY GROUPING SETS (
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@ -882,7 +836,7 @@ def _build_top_api_keys_sql_query(
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(date, custom_llm_provider, api_key),
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(date, mcp_namespaced_tool_name, api_key),
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(date, endpoint, api_key)
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)
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))
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"""
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return sql_query, [*where_params, PTU_SENTINEL_API_KEY]
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@ -1432,17 +1386,15 @@ async def get_daily_activity_aggregated(
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timezone_offset_minutes=timezone_offset_minutes,
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include_current_utc_day=include_current_utc_day,
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)
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key_free_sql, key_free_params = _build_aggregated_sql_query(**query_kwargs)
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top_keys_sql, top_keys_params = _build_top_api_keys_sql_query(**query_kwargs)
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sql_query, sql_params = _build_aggregated_sql_query(**query_kwargs)
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entity_query: Final = _build_entity_rollup_sql_query(**query_kwargs) if include_entity_breakdown else None
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raw_key_free_rows, raw_top_key_rows, raw_entity_rows = await asyncio.gather(
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prisma_client.db.query_raw(key_free_sql, *key_free_params),
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prisma_client.db.query_raw(top_keys_sql, *top_keys_params),
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raw_rows, raw_entity_rows = await asyncio.gather(
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prisma_client.db.query_raw(sql_query, *sql_params),
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_query_raw_optional(prisma_client, entity_query),
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)
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records: Final = [_GroupingSetsRow(**row) for row in (*(raw_key_free_rows or ()), *(raw_top_key_rows or ()))]
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records: Final = [_GroupingSetsRow(**row) for row in (raw_rows or ())]
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# The grouping-sets dispatcher places each row directly in its bucket
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# using the row's GROUPING() bitmask. No Python-side summing needed.
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@ -18,7 +18,6 @@ from litellm.proxy.management_endpoints.common_daily_activity import (
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_adjust_dates_for_timezone,
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_build_aggregated_sql_query,
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_build_entity_rollup_sql_query,
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_build_top_api_keys_sql_query,
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_is_user_agent_tag,
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_record_to_spend_metrics,
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get_api_key_metadata,
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@ -166,7 +165,7 @@ async def test_get_daily_activity_aggregated_with_endpoint_breakdown():
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"autorouter_savings_spend": 0.0,
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"failed_requests": 0,
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}
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key_free_rows = [
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mock_rows = [
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# (date, endpoint) — rolls up across api_keys and models
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{
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**base,
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@ -218,8 +217,6 @@ async def test_get_daily_activity_aggregated_with_endpoint_breakdown():
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"api_requests": 3,
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"successful_requests": 3,
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},
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]
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top_key_rows = [
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# (date, endpoint, api_key) — populates the per-key sub-bucket
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{
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**base,
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@ -247,7 +244,7 @@ async def test_get_daily_activity_aggregated_with_endpoint_breakdown():
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},
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]
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mock_prisma.db.query_raw = AsyncMock(side_effect=[key_free_rows, top_key_rows])
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mock_prisma.db.query_raw = AsyncMock(return_value=mock_rows)
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mock_prisma.db.litellm_verificationtoken = MagicMock()
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mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
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@ -293,11 +290,8 @@ async def test_get_daily_activity_aggregated_with_endpoint_breakdown():
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assert "key-2" in embeddings_endpoint.api_key_breakdown
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assert embeddings_endpoint.api_key_breakdown["key-2"].metrics.spend == 3.0
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# One key-free rollup query plus one bounded per-key query, no find_many
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assert mock_prisma.db.query_raw.call_count == 2
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key_free_sql, top_keys_sql = (call.args[0] for call in mock_prisma.db.query_raw.call_args_list)
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assert "top_api_keys" not in key_free_sql
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assert "WITH top_api_keys AS" in top_keys_sql
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# Verify query_raw was called (not find_many)
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mock_prisma.db.query_raw.assert_called_once()
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@pytest.mark.asyncio
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@ -484,9 +478,7 @@ async def test_get_api_key_metadata_recovers_double_hashed_key_via_reverse_hash(
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return_value=[SimpleNamespace(user_id="alice", user_email="alice@example.com")]
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)
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mock_prisma.db.query_raw = AsyncMock(
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return_value=[
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{"digest": double_hashed, "key_alias": "batch-worker", "team_id": "team-1", "user_id": "alice"}
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]
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return_value=[{"digest": double_hashed, "key_alias": "batch-worker", "team_id": "team-1", "user_id": "alice"}]
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)
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result = await get_api_key_metadata(
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@ -824,7 +816,7 @@ async def test_aggregated_activity_preserves_metadata_for_deleted_keys():
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"autorouter_savings_spend": 0.0,
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"failed_requests": 0,
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}
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key_free_rows = [
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mock_rows = [
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{
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**base,
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"date": "2024-01-01",
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@ -837,8 +829,6 @@ async def test_aggregated_activity_preserves_metadata_for_deleted_keys():
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"api_requests": 1,
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"successful_requests": 1,
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},
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]
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top_key_rows = [
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{
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**base,
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"date": "2024-01-01",
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@ -853,7 +843,7 @@ async def test_aggregated_activity_preserves_metadata_for_deleted_keys():
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},
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]
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mock_prisma.db.query_raw = AsyncMock(side_effect=[key_free_rows, top_key_rows])
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mock_prisma.db.query_raw = AsyncMock(return_value=mock_rows)
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# Active table returns nothing for this key
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mock_prisma.db.litellm_verificationtoken = MagicMock()
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@ -1226,6 +1216,7 @@ class TestBuildAggregatedSqlQuery:
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"user-1",
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"bedrock/global.anthropic.claude-opus-4-8",
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"sk-test",
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PTU_SENTINEL_API_KEY,
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]
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assert "model = $4" in sql
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assert "api_key = $5" in sql
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@ -1259,9 +1250,9 @@ class TestBuildAggregatedSqlQuery:
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assert "(date, model_group)" not in normalized
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assert "COALESCE(model_group, model)" not in normalized
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def test_key_free_query_never_groups_by_api_key(self):
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"""The main rollup query must not emit one row per key, that is what blew up
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the query engine at 3k+ keys. Every grouping set stays key-free and api_key
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def test_totals_arm_never_groups_by_api_key(self):
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"""The totals arm must not emit one row per key, that is what blew up the
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query engine at 3k+ keys. Every grouping set there stays key-free and api_key
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is projected as a NULL literal so the dispatcher's row shape is unchanged."""
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sql, _ = _build_aggregated_sql_query(
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table_name="litellm_dailyuserspend",
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@ -1273,13 +1264,15 @@ class TestBuildAggregatedSqlQuery:
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api_key=None,
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)
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normalized = " ".join(sql.split())
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grouping_block = normalized.split("GROUP BY GROUPING SETS (", 1)[1]
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totals_arm, _ = " ".join(sql.split()).split("UNION ALL")
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grouping_block = totals_arm.split("GROUP BY GROUPING SETS (", 1)[1]
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assert "api_key" not in grouping_block
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assert "NULL::text AS api_key" in normalized
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assert "NULL::text AS api_key" in totals_arm
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def test_top_api_keys_query_ranks_keys_deterministically_and_shares_filters(self):
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sql, params = _build_top_api_keys_sql_query(
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def test_per_key_arm_ranks_keys_deterministically_and_shares_filters(self):
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"""Both arms sit in one statement so totals and per-key rows come from the
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same snapshot, and the per-key arm reuses the caller's filter params."""
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sql, params = _build_aggregated_sql_query(
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table_name="litellm_dailyuserspend",
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entity_id_field="user_id",
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entity_id="user-1",
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@ -1290,25 +1283,20 @@ class TestBuildAggregatedSqlQuery:
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timezone_offset_minutes=-330,
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)
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normalized = " ".join(sql.split())
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assert f"ORDER BY SUM(spend) DESC, api_key LIMIT {USAGE_TOP_API_KEYS_LIMIT}" in normalized
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assert "api_key IN (SELECT api_key FROM top_api_keys)" in normalized
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assert "api_key <> $6" in normalized
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grouping_block = normalized.split("GROUP BY GROUPING SETS (", 1)[1]
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totals_arm, per_key_arm = " ".join(sql.split()).split("UNION ALL")
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assert "top_api_keys" not in totals_arm
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assert f"ORDER BY SUM(spend) DESC, api_key LIMIT {USAGE_TOP_API_KEYS_LIMIT}" in per_key_arm
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assert "api_key IN (SELECT api_key FROM top_api_keys)" in per_key_arm
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assert "api_key <> $6" in per_key_arm
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assert per_key_arm.count("model = $4 AND api_key = $5") == 2
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grouping_block = per_key_arm.split("GROUP BY GROUPING SETS (", 1)[1]
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assert grouping_block.count(", api_key)") == 6
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assert grouping_block.count("(date") == 6
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assert params == [
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"2026-05-29",
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"2026-06-02",
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"user-1",
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"bedrock/global.anthropic.claude-opus-4-8",
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"sk-test",
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PTU_SENTINEL_API_KEY,
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]
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assert params[-1] == PTU_SENTINEL_API_KEY
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class TestAggregatedEmptyEntityFilter:
|
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_BUILDERS: Final = (_build_aggregated_sql_query, _build_top_api_keys_sql_query, _build_entity_rollup_sql_query)
|
||||
_BUILDERS: Final = (_build_aggregated_sql_query, _build_entity_rollup_sql_query)
|
||||
|
||||
@pytest.mark.parametrize("build", _BUILDERS)
|
||||
def test_empty_entity_list_emits_no_degenerate_in_clause(self, build):
|
||||
|
|
@ -1325,7 +1313,7 @@ class TestAggregatedEmptyEntityFilter:
|
|||
normalized = " ".join(sql.split())
|
||||
assert "IN ()" not in normalized
|
||||
assert '"team_id" IN' not in normalized
|
||||
sentinel_params = [PTU_SENTINEL_API_KEY] if build is _build_top_api_keys_sql_query else []
|
||||
sentinel_params = [PTU_SENTINEL_API_KEY] if build is _build_aggregated_sql_query else []
|
||||
assert params == ["2026-08-01", "2026-08-19", *sentinel_params]
|
||||
|
||||
@pytest.mark.parametrize("build", _BUILDERS)
|
||||
|
|
@ -1357,7 +1345,7 @@ class TestAggregatedEmptyEntityFilter:
|
|||
normalized = " ".join(sql.split())
|
||||
assert '"team_id" IN ($3, $4)' in normalized
|
||||
assert "FALSE" not in normalized
|
||||
sentinel_params = [PTU_SENTINEL_API_KEY] if build is _build_top_api_keys_sql_query else []
|
||||
sentinel_params = [PTU_SENTINEL_API_KEY] if build is _build_aggregated_sql_query else []
|
||||
assert params == ["2026-08-01", "2026-08-19", "team-alpha", "team-beta", *sentinel_params]
|
||||
|
||||
|
||||
|
|
@ -1373,7 +1361,7 @@ async def test_get_daily_activity_aggregated_empty_result_set():
|
|||
mock_prisma = MagicMock()
|
||||
mock_prisma.db = MagicMock()
|
||||
|
||||
key_free_rows = [
|
||||
mock_rows = [
|
||||
{
|
||||
"date": None,
|
||||
"api_key": None,
|
||||
|
|
@ -1398,7 +1386,7 @@ async def test_get_daily_activity_aggregated_empty_result_set():
|
|||
"failed_requests": None,
|
||||
}
|
||||
]
|
||||
mock_prisma.db.query_raw = AsyncMock(side_effect=[key_free_rows, []])
|
||||
mock_prisma.db.query_raw = AsyncMock(return_value=mock_rows)
|
||||
|
||||
result = await get_daily_activity_aggregated(
|
||||
prisma_client=mock_prisma,
|
||||
|
|
@ -1492,13 +1480,13 @@ def _psycopg_query_raw(conn: psycopg.Connection, row_counts: list[int]):
|
|||
async def test_get_daily_activity_aggregated_bounds_api_key_rollups(
|
||||
_aggregated_postgresql: psycopg.Connection,
|
||||
):
|
||||
"""Run both GROUPING SETS queries against real Postgres with more keys than the cap.
|
||||
"""Run the GROUPING SETS statement against real Postgres with more keys than the cap.
|
||||
|
||||
key-004 and key-005 tie on spend exactly at the USAGE_TOP_API_KEYS_LIMIT
|
||||
cutoff; the api_key tiebreaker must keep key-004 and drop key-005. The PTU
|
||||
sentinel outspends every key but must not take a slot. Excluded keys and the
|
||||
sentinel still count toward the totals and the model rollup, which come from
|
||||
the key-free query.
|
||||
the key-free arm.
|
||||
"""
|
||||
n_keys: Final = USAGE_TOP_API_KEYS_LIMIT + 5
|
||||
key_rows: Final = [
|
||||
|
|
@ -1554,10 +1542,10 @@ async def test_get_daily_activity_aggregated_bounds_api_key_rollups(
|
|||
api_key=None,
|
||||
)
|
||||
|
||||
# Key-free query: (), (date), (date, model), (date, model_group), two providers,
|
||||
# Key-free arm: (), (date), (date, model), (date, model_group), two providers,
|
||||
# one mcp NULL bucket, endpoint plus its NULL bucket = 9 rows regardless of key count.
|
||||
# Top-key query: six per-key grouping sets, each capped at the limit.
|
||||
assert row_counts == [9, 6 * USAGE_TOP_API_KEYS_LIMIT]
|
||||
# Per-key arm: six per-key grouping sets, each capped at the limit.
|
||||
assert row_counts == [9 + 6 * USAGE_TOP_API_KEYS_LIMIT]
|
||||
|
||||
assert result.metadata.total_spend == pytest.approx(key_spend + 1000.0)
|
||||
assert result.metadata.total_api_requests == n_keys
|
||||
|
|
@ -1579,11 +1567,11 @@ async def test_get_daily_activity_aggregated_bounds_api_key_rollups(
|
|||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_daily_activity_aggregated_explicit_api_key_filter_scopes_both_queries(
|
||||
async def test_get_daily_activity_aggregated_explicit_api_key_filter_scopes_both_arms(
|
||||
_aggregated_postgresql: psycopg.Connection,
|
||||
):
|
||||
"""An explicit api_key filter must scope the key-free totals and the per-key
|
||||
rollups to that key alone, so the two result sets never disagree."""
|
||||
rollups to that key alone, so the two arms never disagree."""
|
||||
rows: Final = [
|
||||
(
|
||||
f"row-{i}",
|
||||
|
|
@ -2358,7 +2346,7 @@ def test_entity_rollup_sql_query_and_api_key_list_filter():
|
|||
api_key=[],
|
||||
)
|
||||
assert "FALSE" in empty_sql
|
||||
assert empty_params == ["2024-01-01", "2024-01-31"]
|
||||
assert empty_params == ["2024-01-01", "2024-01-31", PTU_SENTINEL_API_KEY]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
|
|
@ -2393,8 +2381,8 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown():
|
|||
{**base, "date": None, "group_level": 127, "spend": 18.0},
|
||||
{**base, "date": "2024-01-01", "group_level": 63, "spend": 18.0},
|
||||
{**base, "date": "2024-01-01", "model": "gpt-4o", "group_level": 47, "spend": 18.0},
|
||||
{**base, "date": "2024-01-01", "api_key": "key-1", "group_level": 31, "spend": 12.0},
|
||||
]
|
||||
top_key_rows = [{**base, "date": "2024-01-01", "api_key": "key-1", "group_level": 31, "spend": 12.0}]
|
||||
entity_base = {
|
||||
key: value
|
||||
for key, value in base.items()
|
||||
|
|
@ -2421,7 +2409,7 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown():
|
|||
},
|
||||
]
|
||||
|
||||
mock_prisma.db.query_raw = AsyncMock(side_effect=[main_rows, top_key_rows, entity_rows])
|
||||
mock_prisma.db.query_raw = AsyncMock(side_effect=[main_rows, entity_rows])
|
||||
mock_prisma.db.litellm_verificationtoken = MagicMock()
|
||||
mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
|
||||
|
||||
|
|
@ -2438,9 +2426,9 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown():
|
|||
include_entity_breakdown=True,
|
||||
)
|
||||
|
||||
assert mock_prisma.db.query_raw.call_count == 3
|
||||
assert mock_prisma.db.query_raw.call_count == 2
|
||||
main_sql = mock_prisma.db.query_raw.call_args_list[0][0][0]
|
||||
entity_sql = mock_prisma.db.query_raw.call_args_list[2][0][0]
|
||||
entity_sql = mock_prisma.db.query_raw.call_args_list[1][0][0]
|
||||
assert "entity_id" not in main_sql
|
||||
assert '"team_id" AS entity_id' in entity_sql
|
||||
assert '(date, "team_id"),' in entity_sql
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue