Add allow_parallel to control concurrent task runs

CHANGELOG.md

@@ -1,5 +1,41 @@
 # Release Notes
 
+## Latest
+
+## 1.1.0 - 2026-04-15
+
+### Features
+
+* 🚀 **Parallel execution control (`allow_parallel`)**:  
+     Add configurable `allow_parallel` setting to control whether the same task can run multiple times concurrently.  
+     When set to `False`, the coordinator skips scheduling if the task is already running on any worker (checked via 
+  Redis heartbeat key).  
+     Supports three-level cascade resolution: **task > task group > global config**, the most specific non-null 
+  value wins.  
+     Available on `Config` (global default), `TaskGroup` (group-level override), `@task_group.add_task()` decorator, `task_group.add_dynamic_task()`, and the `POST /tasks` REST API. Dynamic task definitions include the setting in Redis persistence for restart survival.
+
+### Internals
+* ⬆️ Bump dependencies in uv.lock file, for dev purposes:
+     - anyio from 4.12.1 to 4.13.0
+     - charset-normalizer from 3.4.5 to 3.4.7
+     - coverage from 7.13.4 to 7.13.5
+     - fastapi from 0.135.1 to 0.135.3
+     - mkdocs-get-deps from 0.2.0 to 0.2.2
+     - mkdocs-material from 9.7.4 to 9.7.6
+     - platformdirs from 4.9.4 to 4.9.6
+     - pydantic from 2.12.5 to 2.13.0
+     - pydantic-core from 2.41.5 to 2.46.0
+     - pygments from 2.19.2 to 2.20.0
+     - pymdown-extensions from 10.21 to 10.21.2
+     - pytest from 9.0.2 to 9.0.3
+     - redis from 7.3.0 to 7.4.0
+     - requests from 2.32.5 to 2.33.1
+     - ruff from 0.15.5 to 0.15.10
+     - setuptools from 82.0.0 to 82.0.1
+     - starlette from 0.52.1 to 1.0.0
+     - termynal from 0.13.1 to 0.14.0
+     - ty from 0.0.21 to 0.0.29
+
 ## 1.0.0 - 2026-03-09
 
 ### Features
@@ -33,7 +69,7 @@
 * ⬆️ Pre-commit bump uv-pre-commit from 0.9.7 to 0.9.18.
 * ⬆️ Pre-commit bump ruff-pre-commit from 0.14.3 to 0.14.10.
 * ⬆️ Bump dependencies in uv.lock file, for dev purposes:
-*    - annotated-doc added 0.0.4
+     - annotated-doc added 0.0.4
      - anyio from 4.11.0 to 4.12.1
      - backrefs from 6.1 to 6.2
      - certifi from 2026.1.4 to 2026.2.25

docs/docs/features.md

@@ -100,6 +100,7 @@ Built with production environments in mind, FastAPI Task Manager includes compre
 **Built-in safeguards:**
 
 - Exponential backoff retry with configurable delays and per-task overrides
+- Per-task parallel execution control (`allow_parallel=False` to prevent overlapping runs)
 - Task heartbeat monitoring for crash detection
 - Automatic reconciliation of stale and failed tasks
 - Health check endpoints for monitoring

docs/docs/learn/api-reference.md

@@ -96,6 +96,7 @@ Retrieve detailed information for all tasks, including running state and retry b
     "retry_backoff": null,
     "retry_backoff_max": null,
     "dynamic": false,
+    "allow_parallel": null,
     "task_group_name": "My Example Task Group",
     "kwargs": null,
     "function_name": null,
@@ -246,7 +247,8 @@ Create a new dynamic task from a registered function.
   "high_priority": false,
   "tags": ["reports"],
   "retry_backoff": 5.0,
-  "retry_backoff_max": 120.0
+  "retry_backoff_max": 120.0,
+  "allow_parallel": false
 }
 ```
 
@@ -262,6 +264,7 @@ Create a new dynamic task from a registered function.
 | `tags` | `list[string]` | No | Tags for filtering |
 | `retry_backoff` | `float` | No | Per-task initial backoff override |
 | `retry_backoff_max` | `float` | No | Per-task max backoff override |
+| `allow_parallel` | `bool \| null` | No | Allow concurrent executions (`null` = inherit from group/config) |
 
 **Response model:** `DynamicTaskResponse`
 

docs/docs/learn/dynamic-tasks.md

@@ -148,6 +148,22 @@ curl -X POST http://localhost:8000/task-manager/tasks \
   }'
 ```
 
+### Disable Parallel Execution
+
+Set `allow_parallel: false` to prevent a task from being scheduled while a previous execution is still running. This is checked via the Redis heartbeat key, so it works correctly across multiple workers.
+
+```bash
+curl -X POST http://localhost:8000/task-manager/tasks \
+  -H "Content-Type: application/json" \
+  -d '{
+    "task_group_name": "Reports",
+    "function_name": "send_report",
+    "cron_expression": "*/5 * * * *",
+    "name": "long_running_report",
+    "allow_parallel": false
+  }'
+```
+
 ### Custom Task Names
 
 If you don't provide a `name`, one is auto-generated from the function name plus a hash of the kwargs and cron expression. Providing explicit names makes tasks easier to manage and monitor.
@@ -189,6 +205,7 @@ The method accepts the same parameters available in the REST API:
 | `tags` | `list[str]` | No | Tags for filtering |
 | `retry_backoff` | `float` | No | Initial retry delay in seconds |
 | `retry_backoff_max` | `float` | No | Maximum retry delay in seconds |
+| `allow_parallel` | `bool \| None` | No | Allow concurrent executions (`None` = inherit from group/config) |
 
 The method returns the created `Task` object and raises `RuntimeError` if the function is not registered or the task name is already taken.
 

docs/docs/learn/getting_started/configurations.md

@@ -37,24 +37,24 @@ Default value is `500`.
 ## Redis Configuration
 
 ### Redis Host
-{* ./docs_src/tutorial/configurations_py310.py ln[10] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[11] *}
 
 The hostname or IP address of the Redis server. This is the only **required** configuration parameter with no default value.
 
 ### Redis Port
-{* ./docs_src/tutorial/configurations_py310.py ln[11] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[12] *}
 
 The port number of the Redis server.
 Default value is `6379`.
 
 ### Redis Password
-{* ./docs_src/tutorial/configurations_py310.py ln[12] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[13] *}
 
 The password for authenticating with the Redis server. Set to `None` if your Redis instance does not require authentication.
 Default value is `None`.
 
 ### Redis DB
-{* ./docs_src/tutorial/configurations_py310.py ln[13] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[14] *}
 
 The Redis database number to use. Redis supports multiple databases (0-15 by default).
 Default value is `0`.
@@ -66,13 +66,13 @@ Default value is `0`.
 These settings control the core task scheduling loop.
 
 ### Poll Interval
-{* ./docs_src/tutorial/configurations_py310.py ln[15] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[16] *}
 
 The interval (in seconds) between coordinator scheduling cycles. Lower values mean tasks are picked up faster but increase Redis load.
 Default value is `0.1`.
 
 ### Worker Service Name
-{* ./docs_src/tutorial/configurations_py310.py ln[16] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[17] *}
 
 The service name used for worker identification. This appears in health check responses and logs to help identify which service a worker belongs to.
 Default value is `"fastapi-task-manager"`.
@@ -84,7 +84,7 @@ Default value is `"fastapi-task-manager"`.
 These settings control the Redis Streams-based task distribution system.
 
 ### Stream Block Timeout
-{* ./docs_src/tutorial/configurations_py310.py ln[18] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[19] *}
 
 The block timeout (in milliseconds) for `XREADGROUP` when consumers wait for new messages. Higher values reduce Redis round-trips but increase shutdown latency.
 Default value is `1000`.
@@ -96,13 +96,13 @@ Default value is `1000`.
 FastAPI Task Manager uses distributed leader election via Redis to ensure that only one instance schedules tasks at a time, while all instances can execute them.
 
 ### Leader Heartbeat Interval
-{* ./docs_src/tutorial/configurations_py310.py ln[20] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[21] *}
 
 The interval (in seconds) between leader lock renewals. The leader periodically renews its lock to signal it is still alive.
 Default value is `3.0`.
 
 ### Leader Retry Interval
-{* ./docs_src/tutorial/configurations_py310.py ln[21] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[22] *}
 
 The interval (in seconds) between leadership acquisition attempts for follower instances. When a worker is not the leader, it tries to acquire leadership at this interval.
 Default value is `5.0`.
@@ -114,7 +114,7 @@ Default value is `5.0`.
 The reconciler detects and recovers stale or failed tasks. It runs only on the leader instance.
 
 ### Reconciliation Interval
-{* ./docs_src/tutorial/configurations_py310.py ln[23] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[24] *}
 
 The interval (in seconds) between reconciliation checks. The reconciler scans for overdue or stuck tasks at this interval.
 Default value is `30`.
@@ -126,7 +126,7 @@ Default value is `30`.
 When a task fails, FastAPI Task Manager applies exponential backoff to delay re-execution. This prevents rapid failure loops and gives external dependencies time to recover.
 
 ### Retry Backoff
-{* ./docs_src/tutorial/configurations_py310.py ln[25] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[26] *}
 
 The initial backoff delay (in seconds) after a task failure. The first retry will be delayed by this amount.
 Default value is `1.0`.
@@ -136,7 +136,7 @@ This setting can be overridden on individual tasks via the `retry_backoff` param
 ////
 
 ### Retry Backoff Max
-{* ./docs_src/tutorial/configurations_py310.py ln[26] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[27] *}
 
 The maximum backoff delay (in seconds). The delay will never exceed this value, regardless of how many consecutive failures occur.
 Default value is `60.0`.
@@ -146,19 +146,72 @@ This setting can be overridden on individual tasks via the `retry_backoff_max` p
 ////
 
 ### Retry Backoff Multiplier
-{* ./docs_src/tutorial/configurations_py310.py ln[27] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[28] *}
 
 The multiplier applied to the current delay after each consecutive failure. For example, with default settings: 1s, 2s, 4s, 8s, 16s, 32s, 60s (capped).
 Default value is `2.0`.
 
 ---
 
+## Parallel Execution Control
+
+The `allow_parallel` setting controls whether the same task can run multiple times concurrently. When set to `False`, the coordinator will **skip scheduling** the task if it is already running on any worker. This is useful for long-running tasks where overlapping executions would be problematic.
+
+This setting can be configured at **three levels**, with a cascade resolution order: **task > task group > global config**.
+
+- If a task sets `allow_parallel`, that value is used.
+- Otherwise, if the task group sets `allow_parallel`, that value is used.
+- Otherwise, the global `Config.allow_parallel` value is used (default: `True`).
+
+### Global (Config)
+
+{* ./docs_src/tutorial/configurations_py310.py ln[9] *}
+
+Sets the default for all tasks across the entire application. Default value is `True`.
+
+### Task Group
+
+```python
+# All tasks in this group default to no parallel execution
+my_tasks = TaskGroup(name="My Tasks", allow_parallel=False)
+```
+
+Sets the default for all tasks within the group. Set to `None` (the default) to inherit from the global config.
+
+### Task
+
+```python
+# This specific task cannot run in parallel, even if the group allows it
+@my_tasks.add_task(
+    "*/5 * * * *",
+    name="slow_sync",
+    allow_parallel=False,
+)
+async def slow_sync():
+    await asyncio.sleep(7)
+```
+
+Overrides both the group and global setting for this specific task. Set to `None` (the default) to inherit from the task group.
+
+//// tip | Cascade example
+With `Config(allow_parallel=True)` and `TaskGroup(allow_parallel=False)`:
+
+- A task with `allow_parallel=True` **will** allow parallel runs (task wins)
+- A task with `allow_parallel=None` **will not** allow parallel runs (inherits from group)
+////
+
+//// note | Multi-worker safe
+This check uses the Redis `running` heartbeat key, which is shared across all workers. Even if the task is running on a different instance, the coordinator will correctly skip scheduling it.
+////
+
+---
+
 ## Running Heartbeat Configuration
 
 While a task is executing, the worker periodically renews a heartbeat key in Redis. If a worker crashes, the key expires, signaling that the task is no longer being executed.
 
 ### Running Heartbeat Interval
-{* ./docs_src/tutorial/configurations_py310.py ln[29] *}
+{* ./docs_src/tutorial/configurations_py310.py ln[30] *}
 
 The interval (in seconds) between heartbeat renewals while a task is executing. The worker renews the running key at this interval.
 Default value is `3.0`.

docs_src/tutorial/configurations_py310.py

@@ -6,6 +6,7 @@
     concurrent_tasks=2,
     statistics_redis_expiration=432_000,
     statistics_history_runs=30,
+    allow_parallel=True,
     # --------- Redis config ---------
     redis_host="localhost",
     redis_port=6379,

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "fastapi-task-manager"
-version = "1.0.0.post2"
+version = "1.1.0"
 description = "A task manager for FastAPI. Robust Scheduling, Distributed Safety"
 readme = "README.md"
 authors = [

src/fastapi_task_manager/config.py

@@ -7,6 +7,9 @@ class Config(BaseModel):
     concurrent_tasks: int = 2
     statistics_redis_expiration: int = 432_000  # 5 days
     statistics_history_runs: int = 500
+    # Global default for allowing parallel executions of the same task.
+    # Can be overridden at task group or individual task level.
+    allow_parallel: bool = True
     # --------- End of app config variables ---------
 
     # --------- Redis config variables ---------

src/fastapi_task_manager/coordinator.py

@@ -152,7 +152,9 @@ async def _is_task_due(self, task_group: TaskGroup, task: Task) -> bool:
 
         A task is due if:
         1. It's not disabled
-        2. Its next_run time is in the past (or not set)
+        2. It's not in backoff
+        3. If allow_parallel is False, it's not already running
+        4. Its next_run time is in the past (or not set)
 
         Args:
             task_group: The TaskGroup containing the task.
@@ -179,6 +181,24 @@ async def _is_task_due(self, task_group: TaskGroup, task: Task) -> bool:
             )
             return False
 
+        # Resolve allow_parallel with cascade: task > task_group > config
+        effective_allow_parallel = task.allow_parallel
+        if effective_allow_parallel is None:
+            effective_allow_parallel = task_group.allow_parallel
+        if effective_allow_parallel is None:
+            effective_allow_parallel = self._task_manager.config.allow_parallel
+
+        # When parallel execution is disabled, skip if the task is already running
+        if not effective_allow_parallel:
+            running_key = self._keys.running_task_key(task_group.name, task.name)
+            if await self._redis.exists(running_key):
+                logger.debug(
+                    "Task %s/%s is already running and allow_parallel=False, skipping",
+                    task_group.name,
+                    task.name,
+                )
+                return False
+
         # Check next_run time
         next_run_b = await self._redis.get(keys.next_run)
         if next_run_b is None:

src/fastapi_task_manager/schema/health.py

@@ -20,6 +20,7 @@ class ConfigResponse(BaseModel):
     concurrent_tasks: int
     statistics_history_runs: int
     statistics_redis_expiration: int
+    allow_parallel: bool
 
     # Runner
     poll_interval: float

src/fastapi_task_manager/schema/task.py

@@ -15,6 +15,8 @@ class TaskBase(BaseModel):
     retry_backoff_max: float | None = None
     # Whether this task was created dynamically via API (vs. static decorator)
     dynamic: bool = False
+    # Per-task override for parallel execution (None = inherit from task group / global config)
+    allow_parallel: bool | None = None
 
 
 class TaskRun(BaseModel):
@@ -101,6 +103,7 @@ class CreateDynamicTaskRequest(BaseModel):
     tags: list[str] | None = None
     retry_backoff: float | None = None
     retry_backoff_max: float | None = None
+    allow_parallel: bool | None = None
 
 
 class DynamicTaskResponse(BaseModel):

src/fastapi_task_manager/schema/task_group.py

@@ -4,4 +4,5 @@
 class TaskGroup(BaseModel):
     name: str
     tags: list[str] | None = None
+    allow_parallel: bool | None = None
     task_count: int = 0