Merge branch 'main' into litellm_bug_fix_msft_sso

This commit is contained in:
Ishaan Jaff 2025-04-10 17:40:37 -07:00
commit dfeea7fd61
14 changed files with 596 additions and 227 deletions

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@ -207,9 +207,14 @@ This walks through setting up sso auto-add for **Microsoft Entra ID**
Follow along this video for a walkthrough of how to set this up with Microsoft Entra ID
<iframe width="840" height="500" src="https://www.loom.com/embed/ea711323aa9a496d84a01fd7b2a12f54?sid=c53e238c-5bfd-4135-b8fb-b5b1a08632cf" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
<br />
<br />
**Next steps**
1. [Set default params for new teams auto-created from SSO](#set-default-params-for-new-teams)
### Debugging SSO JWT fields
@ -279,6 +284,26 @@ This budget does not apply to keys created under non-default teams.
[**Go Here**](./team_budgets.md)
### Set default params for new teams
When you connect litellm to your SSO provider, litellm can auto-create teams. Use this to set the default `models`, `max_budget`, `budget_duration` for these auto-created teams.
**How it works**
1. When litellm fetches `groups` from your SSO provider, it will check if the corresponding group_id exists as a `team_id` in litellm.
2. If the team_id does not exist, litellm will auto-create a team with the default params you've set.
3. If the team_id already exist, litellm will not apply any settings on the team.
**Usage**
```yaml showLineNumbers title="Default Params for new teams"
litellm_settings:
default_team_params: # Default Params to apply when litellm auto creates a team from SSO IDP provider
max_budget: 100 # Optional[float], optional): $100 budget for the team
budget_duration: 30d # Optional[str], optional): 30 days budget_duration for the team
models: ["gpt-3.5-turbo"] # Optional[List[str]], optional): models to be used by the team
```
### Restrict Users from creating personal keys
@ -290,7 +315,7 @@ This will also prevent users from using their session tokens on the test keys ch
## **All Settings for Self Serve / SSO Flow**
```yaml
```yaml showLineNumbers title="All Settings for Self Serve / SSO Flow"
litellm_settings:
max_internal_user_budget: 10 # max budget for internal users
internal_user_budget_duration: "1mo" # reset every month
@ -300,6 +325,11 @@ litellm_settings:
max_budget: 100 # Optional[float], optional): $100 budget for a new SSO sign in user
budget_duration: 30d # Optional[str], optional): 30 days budget_duration for a new SSO sign in user
models: ["gpt-3.5-turbo"] # Optional[List[str]], optional): models to be used by a new SSO sign in user
default_team_params: # Default Params to apply when litellm auto creates a team from SSO IDP provider
max_budget: 100 # Optional[float], optional): $100 budget for the team
budget_duration: 30d # Optional[str], optional): 30 days budget_duration for the team
models: ["gpt-3.5-turbo"] # Optional[List[str]], optional): models to be used by the team
upperbound_key_generate_params: # Upperbound for /key/generate requests when self-serve flow is on

View file

@ -65,6 +65,7 @@ from litellm.proxy._types import (
KeyManagementSystem,
KeyManagementSettings,
LiteLLM_UpperboundKeyGenerateParams,
NewTeamRequest,
)
from litellm.types.utils import StandardKeyGenerationConfig, LlmProviders
from litellm.integrations.custom_logger import CustomLogger
@ -126,19 +127,19 @@ prometheus_initialize_budget_metrics: Optional[bool] = False
require_auth_for_metrics_endpoint: Optional[bool] = False
argilla_batch_size: Optional[int] = None
datadog_use_v1: Optional[bool] = False # if you want to use v1 datadog logged payload
gcs_pub_sub_use_v1: Optional[
bool
] = False # if you want to use v1 gcs pubsub logged payload
gcs_pub_sub_use_v1: Optional[bool] = (
False # if you want to use v1 gcs pubsub logged payload
)
argilla_transformation_object: Optional[Dict[str, Any]] = None
_async_input_callback: List[
Union[str, Callable, CustomLogger]
] = [] # internal variable - async custom callbacks are routed here.
_async_success_callback: List[
Union[str, Callable, CustomLogger]
] = [] # internal variable - async custom callbacks are routed here.
_async_failure_callback: List[
Union[str, Callable, CustomLogger]
] = [] # internal variable - async custom callbacks are routed here.
_async_input_callback: List[Union[str, Callable, CustomLogger]] = (
[]
) # internal variable - async custom callbacks are routed here.
_async_success_callback: List[Union[str, Callable, CustomLogger]] = (
[]
) # internal variable - async custom callbacks are routed here.
_async_failure_callback: List[Union[str, Callable, CustomLogger]] = (
[]
) # internal variable - async custom callbacks are routed here.
pre_call_rules: List[Callable] = []
post_call_rules: List[Callable] = []
turn_off_message_logging: Optional[bool] = False
@ -146,18 +147,18 @@ log_raw_request_response: bool = False
redact_messages_in_exceptions: Optional[bool] = False
redact_user_api_key_info: Optional[bool] = False
filter_invalid_headers: Optional[bool] = False
add_user_information_to_llm_headers: Optional[
bool
] = None # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
add_user_information_to_llm_headers: Optional[bool] = (
None # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
)
store_audit_logs = False # Enterprise feature, allow users to see audit logs
### end of callbacks #############
email: Optional[
str
] = None # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
token: Optional[
str
] = None # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
email: Optional[str] = (
None # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
)
token: Optional[str] = (
None # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
)
telemetry = True
max_tokens: int = DEFAULT_MAX_TOKENS # OpenAI Defaults
drop_params = bool(os.getenv("LITELLM_DROP_PARAMS", False))
@ -233,20 +234,24 @@ enable_loadbalancing_on_batch_endpoints: Optional[bool] = None
enable_caching_on_provider_specific_optional_params: bool = (
False # feature-flag for caching on optional params - e.g. 'top_k'
)
caching: bool = False # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
caching_with_models: bool = False # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
cache: Optional[
Cache
] = None # cache object <- use this - https://docs.litellm.ai/docs/caching
caching: bool = (
False # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
)
caching_with_models: bool = (
False # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
)
cache: Optional[Cache] = (
None # cache object <- use this - https://docs.litellm.ai/docs/caching
)
default_in_memory_ttl: Optional[float] = None
default_redis_ttl: Optional[float] = None
default_redis_batch_cache_expiry: Optional[float] = None
model_alias_map: Dict[str, str] = {}
model_group_alias_map: Dict[str, str] = {}
max_budget: float = 0.0 # set the max budget across all providers
budget_duration: Optional[
str
] = None # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
budget_duration: Optional[str] = (
None # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
)
default_soft_budget: float = (
DEFAULT_SOFT_BUDGET # by default all litellm proxy keys have a soft budget of 50.0
)
@ -255,11 +260,15 @@ forward_traceparent_to_llm_provider: bool = False
_current_cost = 0.0 # private variable, used if max budget is set
error_logs: Dict = {}
add_function_to_prompt: bool = False # if function calling not supported by api, append function call details to system prompt
add_function_to_prompt: bool = (
False # if function calling not supported by api, append function call details to system prompt
)
client_session: Optional[httpx.Client] = None
aclient_session: Optional[httpx.AsyncClient] = None
model_fallbacks: Optional[List] = None # Deprecated for 'litellm.fallbacks'
model_cost_map_url: str = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
model_cost_map_url: str = (
"https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
)
suppress_debug_info = False
dynamodb_table_name: Optional[str] = None
s3_callback_params: Optional[Dict] = None
@ -268,6 +277,7 @@ default_key_generate_params: Optional[Dict] = None
upperbound_key_generate_params: Optional[LiteLLM_UpperboundKeyGenerateParams] = None
key_generation_settings: Optional[StandardKeyGenerationConfig] = None
default_internal_user_params: Optional[Dict] = None
default_team_params: Optional[NewTeamRequest] = None
default_team_settings: Optional[List] = None
max_user_budget: Optional[float] = None
default_max_internal_user_budget: Optional[float] = None
@ -281,7 +291,9 @@ disable_end_user_cost_tracking_prometheus_only: Optional[bool] = None
custom_prometheus_metadata_labels: List[str] = []
#### REQUEST PRIORITIZATION ####
priority_reservation: Optional[Dict[str, float]] = None
force_ipv4: bool = False # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
force_ipv4: bool = (
False # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
)
module_level_aclient = AsyncHTTPHandler(
timeout=request_timeout, client_alias="module level aclient"
)
@ -295,13 +307,13 @@ fallbacks: Optional[List] = None
context_window_fallbacks: Optional[List] = None
content_policy_fallbacks: Optional[List] = None
allowed_fails: int = 3
num_retries_per_request: Optional[
int
] = None # for the request overall (incl. fallbacks + model retries)
num_retries_per_request: Optional[int] = (
None # for the request overall (incl. fallbacks + model retries)
)
####### SECRET MANAGERS #####################
secret_manager_client: Optional[
Any
] = None # list of instantiated key management clients - e.g. azure kv, infisical, etc.
secret_manager_client: Optional[Any] = (
None # list of instantiated key management clients - e.g. azure kv, infisical, etc.
)
_google_kms_resource_name: Optional[str] = None
_key_management_system: Optional[KeyManagementSystem] = None
_key_management_settings: KeyManagementSettings = KeyManagementSettings()
@ -1050,10 +1062,10 @@ from .types.llms.custom_llm import CustomLLMItem
from .types.utils import GenericStreamingChunk
custom_provider_map: List[CustomLLMItem] = []
_custom_providers: List[
str
] = [] # internal helper util, used to track names of custom providers
disable_hf_tokenizer_download: Optional[
bool
] = None # disable huggingface tokenizer download. Defaults to openai clk100
_custom_providers: List[str] = (
[]
) # internal helper util, used to track names of custom providers
disable_hf_tokenizer_download: Optional[bool] = (
None # disable huggingface tokenizer download. Defaults to openai clk100
)
global_disable_no_log_param: bool = False

View file

@ -480,6 +480,7 @@ RESPONSE_FORMAT_TOOL_NAME = "json_tool_call" # default tool name used when conv
########################### Logging Callback Constants ###########################
AZURE_STORAGE_MSFT_VERSION = "2019-07-07"
PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES = 5
MCP_TOOL_NAME_PREFIX = "mcp_tool"
########################### LiteLLM Proxy Specific Constants ###########################
@ -514,6 +515,7 @@ LITELLM_PROXY_ADMIN_NAME = "default_user_id"
########################### DB CRON JOB NAMES ###########################
DB_SPEND_UPDATE_JOB_NAME = "db_spend_update_job"
PROMETHEUS_EMIT_BUDGET_METRICS_JOB_NAME = "prometheus_emit_budget_metrics_job"
DEFAULT_CRON_JOB_LOCK_TTL_SECONDS = 60 # 1 minute
PROXY_BUDGET_RESCHEDULER_MIN_TIME = 597
PROXY_BUDGET_RESCHEDULER_MAX_TIME = 605

View file

@ -1,10 +1,19 @@
# used for /metrics endpoint on LiteLLM Proxy
#### What this does ####
# On success, log events to Prometheus
import asyncio
import sys
from datetime import datetime, timedelta
from typing import Any, Awaitable, Callable, List, Literal, Optional, Tuple, cast
from typing import (
TYPE_CHECKING,
Any,
Awaitable,
Callable,
List,
Literal,
Optional,
Tuple,
cast,
)
import litellm
from litellm._logging import print_verbose, verbose_logger
@ -14,6 +23,11 @@ from litellm.types.integrations.prometheus import *
from litellm.types.utils import StandardLoggingPayload
from litellm.utils import get_end_user_id_for_cost_tracking
if TYPE_CHECKING:
from apscheduler.schedulers.asyncio import AsyncIOScheduler
else:
AsyncIOScheduler = Any
class PrometheusLogger(CustomLogger):
# Class variables or attributes
@ -359,8 +373,6 @@ class PrometheusLogger(CustomLogger):
label_name="litellm_requests_metric"
),
)
self._initialize_prometheus_startup_metrics()
except Exception as e:
print_verbose(f"Got exception on init prometheus client {str(e)}")
raise e
@ -988,9 +1000,9 @@ class PrometheusLogger(CustomLogger):
):
try:
verbose_logger.debug("setting remaining tokens requests metric")
standard_logging_payload: Optional[
StandardLoggingPayload
] = request_kwargs.get("standard_logging_object")
standard_logging_payload: Optional[StandardLoggingPayload] = (
request_kwargs.get("standard_logging_object")
)
if standard_logging_payload is None:
return
@ -1337,24 +1349,6 @@ class PrometheusLogger(CustomLogger):
return max_budget - spend
def _initialize_prometheus_startup_metrics(self):
"""
Initialize prometheus startup metrics
Helper to create tasks for initializing metrics that are required on startup - eg. remaining budget metrics
"""
if litellm.prometheus_initialize_budget_metrics is not True:
verbose_logger.debug("Prometheus: skipping budget metrics initialization")
return
try:
if asyncio.get_running_loop():
asyncio.create_task(self._initialize_remaining_budget_metrics())
except RuntimeError as e: # no running event loop
verbose_logger.exception(
f"No running event loop - skipping budget metrics initialization: {str(e)}"
)
async def _initialize_budget_metrics(
self,
data_fetch_function: Callable[..., Awaitable[Tuple[List[Any], Optional[int]]]],
@ -1475,12 +1469,41 @@ class PrometheusLogger(CustomLogger):
data_type="keys",
)
async def _initialize_remaining_budget_metrics(self):
async def initialize_remaining_budget_metrics(self):
"""
Initialize remaining budget metrics for all teams to avoid metric discrepancies.
Handler for initializing remaining budget metrics for all teams to avoid metric discrepancies.
Runs when prometheus logger starts up.
- If redis cache is available, we use the pod lock manager to acquire a lock and initialize the metrics.
- Ensures only one pod emits the metrics at a time.
- If redis cache is not available, we initialize the metrics directly.
"""
from litellm.constants import PROMETHEUS_EMIT_BUDGET_METRICS_JOB_NAME
from litellm.proxy.proxy_server import proxy_logging_obj
pod_lock_manager = proxy_logging_obj.db_spend_update_writer.pod_lock_manager
# if using redis, ensure only one pod emits the metrics at a time
if pod_lock_manager and pod_lock_manager.redis_cache:
if await pod_lock_manager.acquire_lock(
cronjob_id=PROMETHEUS_EMIT_BUDGET_METRICS_JOB_NAME
):
try:
await self._initialize_remaining_budget_metrics()
finally:
await pod_lock_manager.release_lock(
cronjob_id=PROMETHEUS_EMIT_BUDGET_METRICS_JOB_NAME
)
else:
# if not using redis, initialize the metrics directly
await self._initialize_remaining_budget_metrics()
async def _initialize_remaining_budget_metrics(self):
"""
Helper to initialize remaining budget metrics for all teams and API keys.
"""
verbose_logger.debug("Emitting key, team budget metrics....")
await self._initialize_team_budget_metrics()
await self._initialize_api_key_budget_metrics()
@ -1737,6 +1760,36 @@ class PrometheusLogger(CustomLogger):
return (end_time - start_time).total_seconds()
return None
@staticmethod
def initialize_budget_metrics_cron_job(scheduler: AsyncIOScheduler):
"""
Initialize budget metrics as a cron job. This job runs every `PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES` minutes.
It emits the current remaining budget metrics for all Keys and Teams.
"""
from litellm.constants import PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES
from litellm.integrations.custom_logger import CustomLogger
from litellm.integrations.prometheus import PrometheusLogger
prometheus_loggers: List[CustomLogger] = (
litellm.logging_callback_manager.get_custom_loggers_for_type(
callback_type=PrometheusLogger
)
)
# we need to get the initialized prometheus logger instance(s) and call logger.initialize_remaining_budget_metrics() on them
verbose_logger.debug("found %s prometheus loggers", len(prometheus_loggers))
if len(prometheus_loggers) > 0:
prometheus_logger = cast(PrometheusLogger, prometheus_loggers[0])
verbose_logger.debug(
"Initializing remaining budget metrics as a cron job executing every %s minutes"
% PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES
)
scheduler.add_job(
prometheus_logger.initialize_remaining_budget_metrics,
"interval",
minutes=PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES,
)
@staticmethod
def _mount_metrics_endpoint(premium_user: bool):
"""

View file

@ -53,7 +53,7 @@ class DBSpendUpdateWriter:
):
self.redis_cache = redis_cache
self.redis_update_buffer = RedisUpdateBuffer(redis_cache=self.redis_cache)
self.pod_lock_manager = PodLockManager(cronjob_id=DB_SPEND_UPDATE_JOB_NAME)
self.pod_lock_manager = PodLockManager()
self.spend_update_queue = SpendUpdateQueue()
self.daily_spend_update_queue = DailySpendUpdateQueue()
@ -383,7 +383,9 @@ class DBSpendUpdateWriter:
)
# Only commit from redis to db if this pod is the leader
if await self.pod_lock_manager.acquire_lock():
if await self.pod_lock_manager.acquire_lock(
cronjob_id=DB_SPEND_UPDATE_JOB_NAME,
):
verbose_proxy_logger.debug("acquired lock for spend updates")
try:
@ -411,7 +413,9 @@ class DBSpendUpdateWriter:
except Exception as e:
verbose_proxy_logger.error(f"Error committing spend updates: {e}")
finally:
await self.pod_lock_manager.release_lock()
await self.pod_lock_manager.release_lock(
cronjob_id=DB_SPEND_UPDATE_JOB_NAME,
)
async def _commit_spend_updates_to_db_without_redis_buffer(
self,

View file

@ -21,18 +21,18 @@ class PodLockManager:
Ensures that only one pod can run a cron job at a time.
"""
def __init__(self, cronjob_id: str, redis_cache: Optional[RedisCache] = None):
def __init__(self, redis_cache: Optional[RedisCache] = None):
self.pod_id = str(uuid.uuid4())
self.cronjob_id = cronjob_id
self.redis_cache = redis_cache
# Define a unique key for this cronjob lock in Redis.
self.lock_key = PodLockManager.get_redis_lock_key(cronjob_id)
@staticmethod
def get_redis_lock_key(cronjob_id: str) -> str:
return f"cronjob_lock:{cronjob_id}"
async def acquire_lock(self) -> Optional[bool]:
async def acquire_lock(
self,
cronjob_id: str,
) -> Optional[bool]:
"""
Attempt to acquire the lock for a specific cron job using Redis.
Uses the SET command with NX and EX options to ensure atomicity.
@ -44,12 +44,13 @@ class PodLockManager:
verbose_proxy_logger.debug(
"Pod %s attempting to acquire Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
# Try to set the lock key with the pod_id as its value, only if it doesn't exist (NX)
# and with an expiration (EX) to avoid deadlocks.
lock_key = PodLockManager.get_redis_lock_key(cronjob_id)
acquired = await self.redis_cache.async_set_cache(
self.lock_key,
lock_key,
self.pod_id,
nx=True,
ttl=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS,
@ -58,13 +59,13 @@ class PodLockManager:
verbose_proxy_logger.info(
"Pod %s successfully acquired Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
return True
else:
# Check if the current pod already holds the lock
current_value = await self.redis_cache.async_get_cache(self.lock_key)
current_value = await self.redis_cache.async_get_cache(lock_key)
if current_value is not None:
if isinstance(current_value, bytes):
current_value = current_value.decode("utf-8")
@ -72,18 +73,21 @@ class PodLockManager:
verbose_proxy_logger.info(
"Pod %s already holds the Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
self._emit_acquired_lock_event(self.cronjob_id, self.pod_id)
self._emit_acquired_lock_event(cronjob_id, self.pod_id)
return True
return False
except Exception as e:
verbose_proxy_logger.error(
f"Error acquiring Redis lock for {self.cronjob_id}: {e}"
f"Error acquiring Redis lock for {cronjob_id}: {e}"
)
return False
async def release_lock(self):
async def release_lock(
self,
cronjob_id: str,
):
"""
Release the lock if the current pod holds it.
Uses get and delete commands to ensure that only the owner can release the lock.
@ -92,46 +96,52 @@ class PodLockManager:
verbose_proxy_logger.debug("redis_cache is None, skipping release_lock")
return
try:
cronjob_id = cronjob_id
verbose_proxy_logger.debug(
"Pod %s attempting to release Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
current_value = await self.redis_cache.async_get_cache(self.lock_key)
lock_key = PodLockManager.get_redis_lock_key(cronjob_id)
current_value = await self.redis_cache.async_get_cache(lock_key)
if current_value is not None:
if isinstance(current_value, bytes):
current_value = current_value.decode("utf-8")
if current_value == self.pod_id:
result = await self.redis_cache.async_delete_cache(self.lock_key)
result = await self.redis_cache.async_delete_cache(lock_key)
if result == 1:
verbose_proxy_logger.info(
"Pod %s successfully released Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
self._emit_released_lock_event(
cronjob_id=cronjob_id,
pod_id=self.pod_id,
)
self._emit_released_lock_event(self.cronjob_id, self.pod_id)
else:
verbose_proxy_logger.debug(
"Pod %s failed to release Redis lock for cronjob_id=%s",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
else:
verbose_proxy_logger.debug(
"Pod %s cannot release Redis lock for cronjob_id=%s because it is held by pod %s",
self.pod_id,
self.cronjob_id,
cronjob_id,
current_value,
)
else:
verbose_proxy_logger.debug(
"Pod %s attempted to release Redis lock for cronjob_id=%s, but no lock was found",
self.pod_id,
self.cronjob_id,
cronjob_id,
)
except Exception as e:
verbose_proxy_logger.error(
f"Error releasing Redis lock for {self.cronjob_id}: {e}"
f"Error releasing Redis lock for {cronjob_id}: {e}"
)
@staticmethod

View file

@ -876,6 +876,68 @@ class SSOAuthenticationHandler:
sso_teams = getattr(result, "team_ids", [])
await add_missing_team_member(user_info=user_info, sso_teams=sso_teams)
@staticmethod
async def create_litellm_team_from_sso_group(
litellm_team_id: str,
litellm_team_name: Optional[str] = None,
):
"""
Creates a Litellm Team from a SSO Group ID
Your SSO provider might have groups that should be created on LiteLLM
Use this helper to create a Litellm Team from a SSO Group ID
Args:
litellm_team_id (str): The ID of the Litellm Team
litellm_team_name (Optional[str]): The name of the Litellm Team
"""
from litellm.proxy.proxy_server import prisma_client
if prisma_client is None:
raise ProxyException(
message="Prisma client not found. Set it in the proxy_server.py file",
type=ProxyErrorTypes.auth_error,
param="prisma_client",
code=status.HTTP_500_INTERNAL_SERVER_ERROR,
)
try:
team_obj = await prisma_client.db.litellm_teamtable.find_first(
where={"team_id": litellm_team_id}
)
verbose_proxy_logger.debug(f"Team object: {team_obj}")
# only create a new team if it doesn't exist
if team_obj:
verbose_proxy_logger.debug(
f"Team already exists: {litellm_team_id} - {litellm_team_name}"
)
return
team_request: NewTeamRequest = NewTeamRequest(
team_id=litellm_team_id,
team_alias=litellm_team_name,
)
if litellm.default_team_params:
team_request = litellm.default_team_params.model_copy(
deep=True,
update={
"team_id": litellm_team_id,
"team_alias": litellm_team_name,
},
)
await new_team(
data=team_request,
# params used for Audit Logging
http_request=Request(scope={"type": "http", "method": "POST"}),
user_api_key_dict=UserAPIKeyAuth(
token="",
key_alias=f"litellm.{MicrosoftSSOHandler.__name__}",
),
)
except Exception as e:
verbose_proxy_logger.exception(f"Error creating Litellm Team: {e}")
class MicrosoftSSOHandler:
"""
@ -1156,15 +1218,6 @@ class MicrosoftSSOHandler:
When a user sets a `SERVICE_PRINCIPAL_ID` in the env, litellm will fetch groups under that service principal and create Litellm Teams from them
"""
from litellm.proxy.proxy_server import prisma_client
if prisma_client is None:
raise ProxyException(
message="Prisma client not found. Set it in the proxy_server.py file",
type=ProxyErrorTypes.auth_error,
param="prisma_client",
code=status.HTTP_500_INTERNAL_SERVER_ERROR,
)
verbose_proxy_logger.debug(
f"Creating Litellm Teams from Service Principal Teams: {service_principal_teams}"
)
@ -1179,36 +1232,10 @@ class MicrosoftSSOHandler:
)
continue
try:
verbose_proxy_logger.debug(
f"Creating Litellm Team: {litellm_team_id} - {litellm_team_name}"
)
team_obj = await prisma_client.db.litellm_teamtable.find_first(
where={"team_id": litellm_team_id}
)
verbose_proxy_logger.debug(f"Team object: {team_obj}")
# only create a new team if it doesn't exist
if team_obj:
verbose_proxy_logger.debug(
f"Team already exists: {litellm_team_id} - {litellm_team_name}"
)
continue
await new_team(
data=NewTeamRequest(
team_id=litellm_team_id,
team_alias=litellm_team_name,
),
# params used for Audit Logging
http_request=Request(scope={"type": "http", "method": "POST"}),
user_api_key_dict=UserAPIKeyAuth(
token="",
key_alias=f"litellm.{MicrosoftSSOHandler.__name__}",
),
)
except Exception as e:
verbose_proxy_logger.exception(f"Error creating Litellm Team: {e}")
await SSOAuthenticationHandler.create_litellm_team_from_sso_group(
litellm_team_id=litellm_team_id,
litellm_team_name=litellm_team_name,
)
class GoogleSSOHandler:

View file

@ -10,6 +10,36 @@ model_list:
api_key: fake-key
litellm_settings:
prometheus_initialize_budget_metrics: true
callbacks: ["prometheus"]
mcp_tools:
- name: "get_current_time"
description: "Get the current time"
input_schema: {
"type": "object",
"properties": {
"format": {
"type": "string",
"description": "The format of the time to return",
"enum": ["short"]
}
}
}
handler: "mcp_tools.get_current_time"
- name: "get_current_date"
description: "Get the current date"
input_schema: {
"type": "object",
"properties": {
"format": {
"type": "string",
"description": "The format of the date to return",
"enum": ["short"]
}
}
}
handler: "mcp_tools.get_current_date"
default_team_settings:
- team_id: test_dev
success_callback: ["langfuse", "s3"]

View file

@ -803,9 +803,9 @@ model_max_budget_limiter = _PROXY_VirtualKeyModelMaxBudgetLimiter(
dual_cache=user_api_key_cache
)
litellm.logging_callback_manager.add_litellm_callback(model_max_budget_limiter)
redis_usage_cache: Optional[
RedisCache
] = None # redis cache used for tracking spend, tpm/rpm limits
redis_usage_cache: Optional[RedisCache] = (
None # redis cache used for tracking spend, tpm/rpm limits
)
user_custom_auth = None
user_custom_key_generate = None
user_custom_sso = None
@ -1131,9 +1131,9 @@ async def update_cache( # noqa: PLR0915
_id = "team_id:{}".format(team_id)
try:
# Fetch the existing cost for the given user
existing_spend_obj: Optional[
LiteLLM_TeamTable
] = await user_api_key_cache.async_get_cache(key=_id)
existing_spend_obj: Optional[LiteLLM_TeamTable] = (
await user_api_key_cache.async_get_cache(key=_id)
)
if existing_spend_obj is None:
# do nothing if team not in api key cache
return
@ -2812,9 +2812,9 @@ async def initialize( # noqa: PLR0915
user_api_base = api_base
dynamic_config[user_model]["api_base"] = api_base
if api_version:
os.environ[
"AZURE_API_VERSION"
] = api_version # set this for azure - litellm can read this from the env
os.environ["AZURE_API_VERSION"] = (
api_version # set this for azure - litellm can read this from the env
)
if max_tokens: # model-specific param
dynamic_config[user_model]["max_tokens"] = max_tokens
if temperature: # model-specific param
@ -3191,6 +3191,11 @@ class ProxyStartupEvent:
)
await proxy_logging_obj.slack_alerting_instance.send_fallback_stats_from_prometheus()
if litellm.prometheus_initialize_budget_metrics is True:
from litellm.integrations.prometheus import PrometheusLogger
PrometheusLogger.initialize_budget_metrics_cron_job(scheduler=scheduler)
scheduler.start()
@classmethod
@ -7753,9 +7758,9 @@ async def get_config_list(
hasattr(sub_field_info, "description")
and sub_field_info.description is not None
):
nested_fields[
idx
].field_description = sub_field_info.description
nested_fields[idx].field_description = (
sub_field_info.description
)
idx += 1
_stored_in_db = None

View file

@ -0,0 +1,44 @@
"""
Mock prometheus unit tests, these don't rely on LLM API calls
"""
import json
import os
import sys
import pytest
from fastapi.testclient import TestClient
sys.path.insert(
0, os.path.abspath("../../..")
) # Adds the parent directory to the system path
from apscheduler.schedulers.asyncio import AsyncIOScheduler
import litellm
from litellm.constants import PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES
from litellm.integrations.prometheus import PrometheusLogger
def test_initialize_budget_metrics_cron_job():
# Create a scheduler
scheduler = AsyncIOScheduler()
# Create and register a PrometheusLogger
prometheus_logger = PrometheusLogger()
litellm.callbacks = [prometheus_logger]
# Initialize the cron job
PrometheusLogger.initialize_budget_metrics_cron_job(scheduler)
# Verify that a job was added to the scheduler
jobs = scheduler.get_jobs()
assert len(jobs) == 1
# Verify job properties
job = jobs[0]
assert (
job.trigger.interval.total_seconds() / 60
== PROMETHEUS_BUDGET_METRICS_REFRESH_INTERVAL_MINUTES
)
assert job.func.__name__ == "initialize_remaining_budget_metrics"

View file

@ -29,7 +29,7 @@ def mock_redis():
@pytest.fixture
def pod_lock_manager(mock_redis):
return PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
return PodLockManager(redis_cache=mock_redis)
@pytest.mark.asyncio
@ -40,12 +40,15 @@ async def test_acquire_lock_success(pod_lock_manager, mock_redis):
# Mock successful acquisition (SET NX returns True)
mock_redis.async_set_cache.return_value = True
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == True
# Verify set_cache was called with correct parameters
lock_key = pod_lock_manager.get_redis_lock_key(cronjob_id="test_job")
mock_redis.async_set_cache.assert_called_once_with(
pod_lock_manager.lock_key,
lock_key,
pod_lock_manager.pod_id,
nx=True,
ttl=DEFAULT_CRON_JOB_LOCK_TTL_SECONDS,
@ -62,13 +65,16 @@ async def test_acquire_lock_existing_active(pod_lock_manager, mock_redis):
# Mock get_cache to return a different pod's ID
mock_redis.async_get_cache.return_value = "different_pod_id"
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == False
# Verify set_cache was called
mock_redis.async_set_cache.assert_called_once()
# Verify get_cache was called to check existing lock
mock_redis.async_get_cache.assert_called_once_with(pod_lock_manager.lock_key)
lock_key = pod_lock_manager.get_redis_lock_key(cronjob_id="test_job")
mock_redis.async_get_cache.assert_called_once_with(lock_key)
@pytest.mark.asyncio
@ -89,7 +95,9 @@ async def test_acquire_lock_expired(pod_lock_manager, mock_redis):
# Then set succeeds on retry (simulating key expiring between checks)
mock_redis.async_set_cache.side_effect = [False, True]
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == False # First attempt fails
# Reset mock for a second attempt
@ -97,7 +105,9 @@ async def test_acquire_lock_expired(pod_lock_manager, mock_redis):
mock_redis.async_set_cache.return_value = True
# Try again (simulating the lock expired)
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == True
# Verify set_cache was called again
@ -114,12 +124,15 @@ async def test_release_lock_success(pod_lock_manager, mock_redis):
# Mock successful deletion
mock_redis.async_delete_cache.return_value = 1
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
# Verify get_cache was called
mock_redis.async_get_cache.assert_called_once_with(pod_lock_manager.lock_key)
lock_key = pod_lock_manager.get_redis_lock_key(cronjob_id="test_job")
mock_redis.async_get_cache.assert_called_once_with(lock_key)
# Verify delete_cache was called
mock_redis.async_delete_cache.assert_called_once_with(pod_lock_manager.lock_key)
mock_redis.async_delete_cache.assert_called_once_with(lock_key)
@pytest.mark.asyncio
@ -130,10 +143,13 @@ async def test_release_lock_different_pod(pod_lock_manager, mock_redis):
# Mock get_cache to return a different pod's ID
mock_redis.async_get_cache.return_value = "different_pod_id"
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
# Verify get_cache was called
mock_redis.async_get_cache.assert_called_once_with(pod_lock_manager.lock_key)
lock_key = pod_lock_manager.get_redis_lock_key(cronjob_id="test_job")
mock_redis.async_get_cache.assert_called_once_with(lock_key)
# Verify delete_cache was NOT called
mock_redis.async_delete_cache.assert_not_called()
@ -146,10 +162,13 @@ async def test_release_lock_no_lock(pod_lock_manager, mock_redis):
# Mock get_cache to return None (no lock)
mock_redis.async_get_cache.return_value = None
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
# Verify get_cache was called
mock_redis.async_get_cache.assert_called_once_with(pod_lock_manager.lock_key)
lock_key = pod_lock_manager.get_redis_lock_key(cronjob_id="test_job")
mock_redis.async_get_cache.assert_called_once_with(lock_key)
# Verify delete_cache was NOT called
mock_redis.async_delete_cache.assert_not_called()
@ -159,13 +178,20 @@ async def test_redis_none(monkeypatch):
"""
Test behavior when redis_cache is None
"""
pod_lock_manager = PodLockManager(cronjob_id="test_job", redis_cache=None)
pod_lock_manager = PodLockManager(redis_cache=None)
# Test acquire_lock with None redis_cache
assert await pod_lock_manager.acquire_lock() is None
assert (
await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
is None
)
# Test release_lock with None redis_cache (should not raise exception)
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
@pytest.mark.asyncio
@ -179,7 +205,9 @@ async def test_redis_error_handling(pod_lock_manager, mock_redis):
mock_redis.async_delete_cache.side_effect = Exception("Redis error")
# Test acquire_lock error handling
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == False
# Reset side effect for get_cache for the release test
@ -187,7 +215,9 @@ async def test_redis_error_handling(pod_lock_manager, mock_redis):
mock_redis.async_get_cache.return_value = pod_lock_manager.pod_id
# Test release_lock error handling (should not raise exception)
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
@pytest.mark.asyncio
@ -200,14 +230,18 @@ async def test_bytes_handling(pod_lock_manager, mock_redis):
# Mock get_cache to return bytes
mock_redis.async_get_cache.return_value = pod_lock_manager.pod_id.encode("utf-8")
result = await pod_lock_manager.acquire_lock()
result = await pod_lock_manager.acquire_lock(
cronjob_id="test_job",
)
assert result == True
# Reset for release test
mock_redis.async_get_cache.return_value = pod_lock_manager.pod_id.encode("utf-8")
mock_redis.async_delete_cache.return_value = 1
await pod_lock_manager.release_lock()
await pod_lock_manager.release_lock(
cronjob_id="test_job",
)
mock_redis.async_delete_cache.assert_called_once()
@ -217,15 +251,17 @@ async def test_concurrent_lock_acquisition_simulation():
Simulate multiple pods trying to acquire the lock simultaneously
"""
mock_redis = MockRedisCache()
pod1 = PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
pod2 = PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
pod3 = PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
pod1 = PodLockManager(redis_cache=mock_redis)
pod2 = PodLockManager(redis_cache=mock_redis)
pod3 = PodLockManager(redis_cache=mock_redis)
# Simulate first pod getting the lock
mock_redis.async_set_cache.return_value = True
# First pod should get the lock
result1 = await pod1.acquire_lock()
result1 = await pod1.acquire_lock(
cronjob_id="test_job",
)
assert result1 == True
# Simulate other pods failing to get the lock
@ -233,8 +269,12 @@ async def test_concurrent_lock_acquisition_simulation():
mock_redis.async_get_cache.return_value = pod1.pod_id
# Other pods should fail to acquire
result2 = await pod2.acquire_lock()
result3 = await pod3.acquire_lock()
result2 = await pod2.acquire_lock(
cronjob_id="test_job",
)
result3 = await pod3.acquire_lock(
cronjob_id="test_job",
)
# Since other pods don't have the lock, they should get False
assert result2 == False
@ -246,14 +286,16 @@ async def test_lock_takeover_race_condition(mock_redis):
"""
Test scenario where multiple pods try to take over an expired lock using Redis
"""
pod1 = PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
pod2 = PodLockManager(cronjob_id="test_job", redis_cache=mock_redis)
pod1 = PodLockManager(redis_cache=mock_redis)
pod2 = PodLockManager(redis_cache=mock_redis)
# Simulate first pod's acquisition succeeding
mock_redis.async_set_cache.return_value = True
# First pod should successfully acquire
result1 = await pod1.acquire_lock()
result1 = await pod1.acquire_lock(
cronjob_id="test_job",
)
assert result1 == True
# Simulate race condition: second pod tries but fails
@ -261,5 +303,7 @@ async def test_lock_takeover_race_condition(mock_redis):
mock_redis.async_get_cache.return_value = pod1.pod_id
# Second pod should fail to acquire
result2 = await pod2.acquire_lock()
result2 = await pod2.acquire_lock(
cronjob_id="test_job",
)
assert result2 == False

View file

@ -2,6 +2,7 @@ import asyncio
import json
import os
import sys
import uuid
from typing import Optional, cast
from unittest.mock import AsyncMock, MagicMock, patch
@ -13,6 +14,8 @@ sys.path.insert(
0, os.path.abspath("../../../")
) # Adds the parent directory to the system path
import litellm
from litellm.proxy._types import NewTeamRequest
from litellm.proxy.auth.handle_jwt import JWTHandler
from litellm.proxy.management_endpoints.types import CustomOpenID
from litellm.proxy.management_endpoints.ui_sso import (
@ -23,6 +26,7 @@ from litellm.proxy.management_endpoints.ui_sso import (
from litellm.types.proxy.management_endpoints.ui_sso import (
MicrosoftGraphAPIUserGroupDirectoryObject,
MicrosoftGraphAPIUserGroupResponse,
MicrosoftServicePrincipalTeam,
)
@ -460,3 +464,95 @@ async def test_upsert_sso_user_existing_user():
data={"user_email": "new_email@example.com"},
)
assert result == mock_user
async def test_default_team_params():
"""
When litellm.default_team_params is set, it should be used to create a new team
"""
# Arrange
litellm.default_team_params = NewTeamRequest(
max_budget=10, budget_duration="1d", models=["special-gpt-5"]
)
def mock_jsonify_team_object(db_data):
return db_data
# Mock Prisma client
mock_prisma = MagicMock()
mock_prisma.db.litellm_teamtable.find_first = AsyncMock(return_value=None)
mock_prisma.db.litellm_teamtable.create = AsyncMock()
mock_prisma.get_data = AsyncMock(return_value=None)
mock_prisma.jsonify_team_object = MagicMock(side_effect=mock_jsonify_team_object)
with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma):
# Act
team_id = str(uuid.uuid4())
await MicrosoftSSOHandler.create_litellm_teams_from_service_principal_team_ids(
service_principal_teams=[
MicrosoftServicePrincipalTeam(
principalId=team_id,
principalDisplayName="Test Team",
)
]
)
# Assert
# Verify team was created with correct parameters
mock_prisma.db.litellm_teamtable.create.assert_called_once()
print(
"mock_prisma.db.litellm_teamtable.create.call_args",
mock_prisma.db.litellm_teamtable.create.call_args,
)
create_call_args = mock_prisma.db.litellm_teamtable.create.call_args.kwargs[
"data"
]
assert create_call_args["team_id"] == team_id
assert create_call_args["team_alias"] == "Test Team"
assert create_call_args["max_budget"] == 10
assert create_call_args["budget_duration"] == "1d"
assert create_call_args["models"] == ["special-gpt-5"]
@pytest.mark.asyncio
async def test_create_team_without_default_params():
"""
Test team creation when litellm.default_team_params is None
Should create team with just the basic required fields
"""
# Arrange
litellm.default_team_params = None
def mock_jsonify_team_object(db_data):
return db_data
# Mock Prisma client
mock_prisma = MagicMock()
mock_prisma.db.litellm_teamtable.find_first = AsyncMock(return_value=None)
mock_prisma.db.litellm_teamtable.create = AsyncMock()
mock_prisma.get_data = AsyncMock(return_value=None)
mock_prisma.jsonify_team_object = MagicMock(side_effect=mock_jsonify_team_object)
with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma):
# Act
team_id = str(uuid.uuid4())
await MicrosoftSSOHandler.create_litellm_teams_from_service_principal_team_ids(
service_principal_teams=[
MicrosoftServicePrincipalTeam(
principalId=team_id,
principalDisplayName="Test Team",
)
]
)
# Assert
mock_prisma.db.litellm_teamtable.create.assert_called_once()
create_call_args = mock_prisma.db.litellm_teamtable.create.call_args.kwargs[
"data"
]
assert create_call_args["team_id"] == team_id
assert create_call_args["team_alias"] == "Test Team"
# Should not have any of the optional fields
assert "max_budget" not in create_call_args
assert "budget_duration" not in create_call_args
assert create_call_args["models"] == []

View file

@ -39,7 +39,7 @@ import time
@pytest.fixture
def prometheus_logger():
def prometheus_logger() -> PrometheusLogger:
collectors = list(REGISTRY._collector_to_names.keys())
for collector in collectors:
REGISTRY.unregister(collector)
@ -1212,24 +1212,6 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
prometheus_logger.litellm_remaining_api_key_budget_metric.assert_not_called()
def test_initialize_prometheus_startup_metrics_no_loop(prometheus_logger):
"""
Test that _initialize_prometheus_startup_metrics handles case when no event loop exists
"""
# Mock asyncio.get_running_loop to raise RuntimeError
litellm.prometheus_initialize_budget_metrics = True
with patch(
"asyncio.get_running_loop", side_effect=RuntimeError("No running event loop")
), patch("litellm._logging.verbose_logger.exception") as mock_logger:
# Call the function
prometheus_logger._initialize_prometheus_startup_metrics()
# Verify the error was logged
mock_logger.assert_called_once()
assert "No running event loop" in mock_logger.call_args[0][0]
@pytest.mark.asyncio(scope="session")
async def test_initialize_api_key_budget_metrics(prometheus_logger):
"""

View file

@ -141,10 +141,12 @@ async def setup_db_connection(prisma_client):
async def test_pod_lock_acquisition_when_no_active_lock():
"""Test if a pod can acquire a lock when no lock is active"""
cronjob_id = str(uuid.uuid4())
lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
lock_manager = PodLockManager(redis_cache=global_redis_cache)
# Attempt to acquire lock
result = await lock_manager.acquire_lock()
result = await lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
assert result == True, "Pod should be able to acquire lock when no lock exists"
@ -161,13 +163,19 @@ async def test_pod_lock_acquisition_after_completion():
"""Test if a new pod can acquire lock after previous pod completes"""
cronjob_id = str(uuid.uuid4())
# First pod acquires and releases lock
first_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
await first_lock_manager.acquire_lock()
await first_lock_manager.release_lock()
first_lock_manager = PodLockManager(redis_cache=global_redis_cache)
await first_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
await first_lock_manager.release_lock(
cronjob_id=cronjob_id,
)
# Second pod attempts to acquire lock
second_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock()
second_lock_manager = PodLockManager(redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
assert result == True, "Second pod should acquire lock after first pod releases it"
@ -182,15 +190,21 @@ async def test_pod_lock_acquisition_after_expiry():
"""Test if a new pod can acquire lock after previous pod's lock expires"""
cronjob_id = str(uuid.uuid4())
# First pod acquires lock
first_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
await first_lock_manager.acquire_lock()
first_lock_manager = PodLockManager(redis_cache=global_redis_cache)
await first_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
# release the lock from the first pod
await first_lock_manager.release_lock()
await first_lock_manager.release_lock(
cronjob_id=cronjob_id,
)
# Second pod attempts to acquire lock
second_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock()
second_lock_manager = PodLockManager(redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
assert (
result == True
@ -206,11 +220,15 @@ async def test_pod_lock_acquisition_after_expiry():
async def test_pod_lock_release():
"""Test if a pod can successfully release its lock"""
cronjob_id = str(uuid.uuid4())
lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
lock_manager = PodLockManager(redis_cache=global_redis_cache)
# Acquire and then release lock
await lock_manager.acquire_lock()
await lock_manager.release_lock()
await lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
await lock_manager.release_lock(
cronjob_id=cronjob_id,
)
# Verify in redis
lock_key = PodLockManager.get_redis_lock_key(cronjob_id)
@ -224,15 +242,21 @@ async def test_concurrent_lock_acquisition():
cronjob_id = str(uuid.uuid4())
# Create multiple lock managers simulating different pods
lock_manager1 = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
lock_manager2 = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
lock_manager3 = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
lock_manager1 = PodLockManager(redis_cache=global_redis_cache)
lock_manager2 = PodLockManager(redis_cache=global_redis_cache)
lock_manager3 = PodLockManager(redis_cache=global_redis_cache)
# Try to acquire locks concurrently
results = await asyncio.gather(
lock_manager1.acquire_lock(),
lock_manager2.acquire_lock(),
lock_manager3.acquire_lock(),
lock_manager1.acquire_lock(
cronjob_id=cronjob_id,
),
lock_manager2.acquire_lock(
cronjob_id=cronjob_id,
),
lock_manager3.acquire_lock(
cronjob_id=cronjob_id,
),
)
# Only one should succeed
@ -254,7 +278,7 @@ async def test_concurrent_lock_acquisition():
async def test_lock_acquisition_with_expired_ttl():
"""Test that a pod can acquire a lock when existing lock has expired TTL"""
cronjob_id = str(uuid.uuid4())
first_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
first_lock_manager = PodLockManager(redis_cache=global_redis_cache)
# First pod acquires lock with a very short TTL to simulate expiration
short_ttl = 1 # 1 second
@ -269,8 +293,10 @@ async def test_lock_acquisition_with_expired_ttl():
await asyncio.sleep(short_ttl + 0.5) # Wait slightly longer than the TTL
# Second pod tries to acquire without explicit release
second_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock()
second_lock_manager = PodLockManager(redis_cache=global_redis_cache)
result = await second_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
assert result == True, "Should acquire lock when existing lock has expired TTL"
@ -286,7 +312,7 @@ async def test_release_expired_lock():
cronjob_id = str(uuid.uuid4())
# First pod acquires lock with a very short TTL
first_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
first_lock_manager = PodLockManager(redis_cache=global_redis_cache)
short_ttl = 1 # 1 second
lock_key = PodLockManager.get_redis_lock_key(cronjob_id)
await global_redis_cache.async_set_cache(
@ -299,11 +325,15 @@ async def test_release_expired_lock():
await asyncio.sleep(short_ttl + 0.5) # Wait slightly longer than the TTL
# Second pod acquires the lock
second_lock_manager = PodLockManager(cronjob_id=cronjob_id, redis_cache=global_redis_cache)
await second_lock_manager.acquire_lock()
second_lock_manager = PodLockManager(redis_cache=global_redis_cache)
await second_lock_manager.acquire_lock(
cronjob_id=cronjob_id,
)
# First pod attempts to release its lock
await first_lock_manager.release_lock()
await first_lock_manager.release_lock(
cronjob_id=cronjob_id,
)
# Verify that second pod's lock is still active
lock_record = await global_redis_cache.async_get_cache(lock_key)