diff --git a/.gitignore b/.gitignore index a6dccd3..bfb08cc 100644 --- a/.gitignore +++ b/.gitignore @@ -163,4 +163,4 @@ cython_debug/ # PyLet Test *.err -*.log \ No newline at end of file +*.log.ticktick-project diff --git a/.ticktick-project b/.ticktick-project new file mode 100644 index 0000000..d0e21fd --- /dev/null +++ b/.ticktick-project @@ -0,0 +1,10 @@ +# TickTick Project Configuration +project_id: 695d14978f085c53335c8476 +project_name: SwarmPilot PyLet Integration +prefix: PYL +next_id: 3 + +# Task ID Registry (maps custom ID -> TickTick task ID) +tasks: + PYL-001: 6964b9198f084eb6575c1fed + PYL-002: 697ff9948f081d478584b6cd diff --git a/docs/api_reference.md b/docs/api_reference.md index 2d671bd..e2e9f54 100644 --- a/docs/api_reference.md +++ b/docs/api_reference.md @@ -103,6 +103,12 @@ def submit( gpu: int = 0, cpu: int = 1, memory: int = 512, + target_worker: Optional[str] = None, + gpu_indices: Optional[List[int]] = None, + exclusive: bool = True, + labels: Optional[Dict[str, str]] = None, + env: Optional[Dict[str, str]] = None, + venv: Optional[str] = None, ) -> Instance ``` @@ -111,11 +117,18 @@ Submit a new instance. **Args:** - `command`: Shell command string, or list of args (auto shell-escaped) - `name`: Optional instance name for service discovery -- `gpu`: GPU units required (default 0) +- `gpu`: GPU units required (default 0, ignored if `gpu_indices` specified) - `cpu`: CPU cores required (default 1) - `memory`: Memory in MB required (default 512) +- `target_worker`: Place on specific worker node +- `gpu_indices`: Request specific physical GPU indices +- `exclusive`: If `False`, GPUs don't block allocation pool (default `True`) +- `labels`: Custom metadata dict +- `env`: Environment variables to set +- `venv`: Path to pre-existing virtualenv (must be absolute path) -**Returns:** `Instance` handle +**Returns:** +- `Instance` handle for the submitted instance. **Raises:** - `NotInitializedError`: `init()` not called @@ -123,9 +136,32 @@ Submit a new instance. **Example:** ```python +# Basic usage instance = pylet.submit("echo hello", cpu=1) instance = pylet.submit("vllm serve model --port $PORT", name="vllm", gpu=1, memory=4096) instance = pylet.submit(["python", "-c", "print('hello')"], cpu=1) + +# Target specific worker and GPU indices +instance = pylet.submit( + "sllm-store start", + target_worker="gpu-0", + gpu_indices=[0, 1, 2, 3], + exclusive=False, + labels={"type": "sllm-store"}, +) + +# Use a virtualenv +instance = pylet.submit( + "python train.py", + venv="/home/user/my-venv", + gpu=1, +) + +# Deploy multiple instances (use a loop) +instances = [] +for i in range(3): + inst = pylet.submit(f"python worker.py", name=f"worker-{i}", gpu=1) + instances.append(inst) ``` --- @@ -167,6 +203,7 @@ instance = pylet.get(id="abc-123-def") def instances( *, status: Optional[str] = None, + labels: Optional[Dict[str, str]] = None, ) -> List[Instance] ``` @@ -174,6 +211,7 @@ List all instances. **Args:** - `status`: Filter by status (e.g., `"RUNNING"`, `"PENDING"`) +- `labels`: Filter by labels (all specified labels must match) **Returns:** List of `Instance` handles @@ -184,6 +222,7 @@ List all instances. ```python all_instances = pylet.instances() running = pylet.instances(status="RUNNING") +gpu_instances = pylet.instances(labels={"type": "gpu-worker"}) ``` --- @@ -203,6 +242,107 @@ List all registered workers. --- +### `pylet.delete` + +```python +def delete( + name: Optional[str] = None, + *, + id: Optional[str] = None, +) -> None +``` + +Delete an instance by name or ID. + +**Args:** +- `name`: Instance name (positional or keyword) +- `id`: Instance ID (keyword only) + +**Raises:** +- `NotInitializedError`: `init()` not called +- `NotFoundError`: Instance not found +- `ValueError`: Neither `name` nor `id` provided + +**Example:** +```python +pylet.delete("my-instance") +pylet.delete(id="abc-123-def") +``` + +--- + +### `pylet.delete_all` + +```python +def delete_all(*, status: Optional[str] = None) -> int +``` + +Delete all instances, optionally filtered by status. + +**Args:** +- `status`: Only delete instances with this status (e.g., `"COMPLETED"`, `"FAILED"`, `"CANCELLED"`) + +**Returns:** Number of instances deleted + +**Raises:** +- `NotInitializedError`: `init()` not called + +**Example:** +```python +# Delete all completed instances +count = pylet.delete_all(status="COMPLETED") +print(f"Deleted {count} instances") + +# Delete all instances (use with caution!) +count = pylet.delete_all() +``` + +--- + +### `pylet.delete_worker` + +```python +def delete_worker(worker_id: str) -> None +``` + +Delete a worker by ID. **Only OFFLINE workers can be deleted.** + +**Args:** +- `worker_id`: Worker ID to delete + +**Raises:** +- `NotInitializedError`: `init()` not called +- `NotFoundError`: Worker not found +- `ValueError`: Worker is not OFFLINE (only OFFLINE workers can be deleted) + +**Example:** +```python +pylet.delete_worker("worker-123") +``` + +--- + +### `pylet.delete_all_offline_workers` + +```python +def delete_all_offline_workers() -> int +``` + +Delete all workers with OFFLINE status. + +**Returns:** Number of workers deleted + +**Raises:** +- `NotInitializedError`: `init()` not called + +**Example:** +```python +count = pylet.delete_all_offline_workers() +print(f"Deleted {count} offline workers") +``` + +--- + ## Class: `Instance` Returned by `pylet.submit()` and `pylet.get()`. Represents a handle to an instance. @@ -239,6 +379,42 @@ def exit_code(self) -> Optional[int] ``` Process exit code when terminal, `None` otherwise. +```python +@property +def display_status(self) -> str +``` +User-facing status. Returns `"CANCELLING"` while cancellation is in progress, otherwise same as `status`. + +```python +@property +def gpu_indices(self) -> Optional[List[int]] +``` +Allocated GPU indices when assigned/running, `None` otherwise. + +```python +@property +def exclusive(self) -> bool +``` +Whether instance has exclusive GPU access. Default `True`. + +```python +@property +def labels(self) -> Dict[str, str] +``` +User-defined labels. Returns empty dict if none set. + +```python +@property +def env(self) -> Dict[str, str] +``` +User-defined environment variables. Returns empty dict if none set. + +```python +@property +def target_worker(self) -> Optional[str] +``` +Target worker constraint if set, `None` otherwise. + ### Methods #### `Instance.wait_running` @@ -277,11 +453,14 @@ Block until instance reaches terminal state (`COMPLETED`, `FAILED`, `CANCELLED`) #### `Instance.cancel` ```python -def cancel(self) -> None +def cancel(self, delete: bool = False) -> None ``` Request instance cancellation. Returns immediately (cancellation is async). +**Args:** +- `delete`: If `True`, delete the instance after cancellation completes (default `False`) + **Raises:** - `InstanceTerminatedError`: Instance already in terminal state @@ -382,6 +561,12 @@ def memory_available(self) -> int ``` Available memory in MB. +```python +@property +def gpu_indices_available(self) -> List[int] +``` +List of available GPU indices. + --- ## Cluster Management @@ -571,16 +756,20 @@ async def main(): - `async pylet.aio.init(address: str = "http://localhost:8000") -> None` - `async pylet.aio.shutdown() -> None` - `pylet.aio.is_initialized() -> bool` (sync, no I/O) -- `async pylet.aio.submit(...) -> Instance` +- `async pylet.aio.submit(...) -> Instance` - Same parameters as sync version - `async pylet.aio.get(...) -> Instance` -- `async pylet.aio.instances(...) -> List[Instance]` +- `async pylet.aio.instances(*, status: Optional[str] = None) -> List[Instance]` - Note: does not support `labels` parameter - `async pylet.aio.workers() -> List[WorkerInfo]` +- `async pylet.aio.delete(name=None, *, id=None) -> None` +- `async pylet.aio.delete_all(*, status=None) -> int` +- `async pylet.aio.delete_worker(worker_id) -> None` +- `async pylet.aio.delete_all_offline_workers() -> int` ### Async Instance Methods - `async Instance.wait_running(timeout: float = 300) -> None` - `async Instance.wait(timeout: Optional[float] = None) -> None` -- `async Instance.cancel() -> None` +- `async Instance.cancel(delete: bool = False) -> None` - `async Instance.logs(tail: Optional[int] = None) -> str` - `async Instance.refresh() -> None` @@ -657,17 +846,35 @@ with pylet.local_cluster(workers=2, cpu_per_worker=2) as cluster: | `pylet.init(address)` | Connect to head | | `pylet.shutdown()` | Disconnect (optional) | | `pylet.is_initialized()` | Check if connected | -| `pylet.submit(command, *, name, gpu, cpu, memory)` | Submit instance | +| `pylet.submit(command, *, name, gpu, cpu, memory, ...)` | Submit instance | | `pylet.get(name, *, id)` | Get instance | -| `pylet.instances(*, status)` | List instances | +| `pylet.instances(*, status, labels)` | List instances | | `pylet.workers()` | List workers | +| `pylet.delete(name, *, id)` | Delete instance | +| `pylet.delete_all(*, status)` | Delete all instances | +| `pylet.delete_worker(worker_id)` | Delete OFFLINE worker | +| `pylet.delete_all_offline_workers()` | Delete all OFFLINE workers | | `pylet.start(*, address, port, gpu, cpu, memory, block)` | Start head/worker | | `pylet.local_cluster(workers, *, ...)` | Test cluster | +| Instance Property | Purpose | +|-------------------|---------| +| `instance.id` | Instance UUID | +| `instance.name` | User-provided name | +| `instance.status` | Current status | +| `instance.display_status` | User-facing status (shows CANCELLING) | +| `instance.endpoint` | host:port when running | +| `instance.exit_code` | Exit code when terminal | +| `instance.gpu_indices` | Allocated GPU indices | +| `instance.exclusive` | Exclusive GPU access | +| `instance.labels` | User-defined labels | +| `instance.env` | Environment variables | +| `instance.target_worker` | Target worker constraint | + | Instance Method | Purpose | |-----------------|---------| | `instance.wait_running(timeout)` | Block until RUNNING | | `instance.wait(timeout)` | Block until terminal | -| `instance.cancel()` | Request cancellation | +| `instance.cancel(delete)` | Request cancellation | | `instance.logs(tail)` | Get logs | | `instance.refresh()` | Update from server | diff --git a/docs/cli_reference.md b/docs/cli_reference.md index 9a70b13..c06036d 100644 --- a/docs/cli_reference.md +++ b/docs/cli_reference.md @@ -19,14 +19,20 @@ After installation, the `pylet` command is available. Start the head node (server) or a worker node. ```bash -# Start head node (server) on port 8000 +# Start head node (server) on default port 8000 pylet start +# Start head node on custom port +pylet start --port 9000 + # Start worker node connected to head pylet start --head 192.168.1.10:8000 # Start worker with custom resources pylet start --head 192.168.1.10:8000 --gpu-units 4 --cpu-cores 8 --memory-mb 16384 + +# Start worker with custom HTTP server port +pylet start --head 192.168.1.10:8000 --port 16000 ``` **Options:** @@ -34,6 +40,7 @@ pylet start --head 192.168.1.10:8000 --gpu-units 4 --cpu-cores 8 --memory-mb 163 | Option | Default | Description | |--------|---------|-------------| | `--head ` | None | Head node address. If omitted, starts as head node. | +| `--port ` | 8000 (head) / 15599 (worker) | Port to run on. For head: API server port. For worker: HTTP server port. | | `--cpu-cores ` | 4 | CPU cores to offer (worker only) | | `--gpu-units ` | 0 | GPU units to offer (worker only) | | `--memory-mb ` | 4096 | Memory in MB to offer (worker only) | @@ -56,6 +63,13 @@ pylet submit "vllm serve model --port \$PORT" --name my-vllm --gpu-units 1 # Multi-word commands with quotes pylet submit "python -c 'print(\"hello\")'" + +# Target specific worker and GPU indices +pylet submit "sllm-store start" --target-worker gpu-0 --gpu-indices 0,1,2,3 --no-exclusive + +# Use a virtualenv +pylet submit "python train.py" --venv /home/user/my-venv --gpu-units 1 + ``` **Arguments:** @@ -72,6 +86,12 @@ pylet submit "python -c 'print(\"hello\")'" | `--gpu-units ` | 0 | GPU units required | | `--memory-mb ` | 512 | Memory in MB required | | `--name ` | None | Instance name for service discovery | +| `--target-worker ` | None | Place on specific worker node | +| `--gpu-indices ` | None | Request specific GPU indices (comma-separated) | +| `--exclusive / --no-exclusive` | `--exclusive` | Whether GPUs block allocation pool | +| `--label ` | None | Add label (can be used multiple times) | +| `--env ` | None | Set environment variable (can be used multiple times) | +| `--venv ` | None | Path to pre-existing virtualenv (must be absolute) | **Output:** @@ -187,6 +207,174 @@ Cancellation requested for instance abc-123-def --- +### `pylet delete` + +Delete instance(s) by ID, name, or all instances. **Deletion is permanent and cannot be undone.** + +```bash +# Delete by ID +pylet delete --instance-id abc-123-def + +# Delete by name +pylet delete --name my-instance + +# Delete all completed instances +pylet delete --all --status COMPLETED + +# Delete all instances (DANGEROUS!) +pylet delete --all --yes +``` + +**Options:** + +| Option | Description | +|--------|-------------| +| `--instance-id ` | Delete by instance UUID | +| `--name ` | Delete by instance name | +| `--all` | Delete all instances | +| `--status ` | Filter by status when using `--all` (e.g., `COMPLETED`, `FAILED`, `CANCELLED`) | +| `--yes`, `-y` | Skip confirmation prompt | + +**Constraints:** +- Must specify exactly one of: `--instance-id`, `--name`, or `--all` +- `--status` can only be used with `--all` + +**Safety Features:** +- Confirmation prompts for all deletions (unless `--yes` is used) +- Extra warning for `--all` without status filter +- Clear error messages for invalid usage + +**Examples:** + +```bash +# Delete with confirmation prompt +pylet delete --name my-instance +# Prompts: Delete instance 'my-instance'? [y/N]: + +# Delete without confirmation +pylet delete --name my-instance --yes + +# Delete all completed instances +pylet delete --all --status COMPLETED --yes + +# Delete all failed instances +pylet delete --all --status FAILED --yes + +# Delete all instances (prompts for confirmation) +pylet delete --all +# Prompts: Delete ALL instances? This cannot be undone! [y/N]: +``` + +**Output:** + +``` +# Single instance +Instance 'my-instance' deleted + +# Bulk deletion +Deleted 42 instances with status 'COMPLETED' + +# Not found +Instance 'my-instance' not found +``` + +**Notes:** +- Deletion is permanent and cannot be undone +- GPU allocations are automatically freed +- Worker processes are NOT killed if instance is running +- Recommended: Cancel running instances before deleting + +**Best Practice:** +```bash +# Safe pattern: only delete terminal instances +pylet delete --all --status COMPLETED --yes +pylet delete --all --status FAILED --yes +pylet delete --all --status CANCELLED --yes + +# Cancel before deleting running instance +pylet cancel abc-123 +sleep 10 # Wait for cancellation +pylet delete --instance-id abc-123 --yes +``` + +--- + +### `pylet delete-worker` + +Delete worker(s) by ID or all OFFLINE workers. **Only OFFLINE workers can be deleted.** + +```bash +# Delete by worker ID +pylet delete-worker --worker-id worker-123 + +# Delete all offline workers +pylet delete-worker --all-offline + +# Delete without confirmation +pylet delete-worker --worker-id worker-123 --yes +``` + +**Options:** + +| Option | Description | +|--------|-------------| +| `--worker-id ` | Delete by worker ID | +| `--all-offline` | Delete all OFFLINE workers | +| `--yes`, `-y` | Skip confirmation prompt | + +**Constraints:** +- Must specify exactly one of: `--worker-id` or `--all-offline` +- Only OFFLINE workers can be deleted (ONLINE and SUSPECT workers are protected) + +**Safety Features:** +- Confirmation prompts for all deletions (unless `--yes` is used) +- Clear error messages if trying to delete non-OFFLINE worker + +**Examples:** + +```bash +# Delete with confirmation prompt +pylet delete-worker --worker-id worker-123 +# Prompts: Delete worker worker-123? [y/N]: + +# Delete without confirmation +pylet delete-worker --worker-id worker-123 --yes + +# Delete all offline workers +pylet delete-worker --all-offline --yes +``` + +**Output:** + +``` +# Single worker +Worker worker-123 deleted + +# Bulk deletion +Deleted 3 OFFLINE workers + +# Not found +Worker worker-123 not found + +# Worker not offline +Error: Cannot delete ONLINE or SUSPECT workers. Only OFFLINE workers can be deleted. +``` + +**Notes:** +- Deletion is permanent and cannot be undone +- Only workers with OFFLINE status can be deleted +- Attempting to delete ONLINE or SUSPECT workers will fail with error +- Foreign key CASCADE automatically deletes GPU inventory + +**Best Practice:** +```bash +# Safe pattern: wait for workers to go OFFLINE before deleting +pylet list-workers # Check worker status +pylet delete-worker --all-offline --yes # Clean up offline workers +``` + +--- + ### `pylet logs` Get logs from an instance. @@ -297,4 +485,6 @@ pylet cancel | `pylet list-workers` | List workers | | `pylet get-endpoint` | Get instance endpoint | | `pylet cancel ` | Cancel instance | +| `pylet delete` | Delete instance(s) | +| `pylet delete-worker` | Delete OFFLINE worker(s) | | `pylet logs ` | Get instance logs | diff --git a/docs/guide.md b/docs/guide.md new file mode 100644 index 0000000..bab2c66 --- /dev/null +++ b/docs/guide.md @@ -0,0 +1,1165 @@ +# PyLet User Guide + +> **Summary**: PyLet is a lightweight distributed task execution system for GPU servers. It provides job orchestration with resource-based scheduling, service discovery, and virtual environment support. It does NOT provide load balancing. + +--- + +## Table of Contents + +1. [Overview](#1-overview) +2. [Installation](#2-installation) +3. [Quick Start](#3-quick-start) +4. [Core Concepts](#4-core-concepts) +5. [Python API Reference](#5-python-api-reference) +6. [CLI Reference](#6-cli-reference) +7. [Configuration Files (TOML)](#7-configuration-files-toml) +8. [Environment Variables](#8-environment-variables) +9. [Features and Limitations](#9-features-and-limitations) +10. [Examples](#10-examples) +11. [Troubleshooting](#11-troubleshooting) + +--- + +## 1. Overview + +### 1.1 What is PyLet + +``` +Type: Distributed task execution system +Target: GPU servers and ML workloads +Architecture: Head-Worker model +Persistence: SQLite with WAL mode +API Style: Sync-first (async available in pylet.aio) +License: Apache 2.0 +Requirements: Python 3.9+, Linux +``` + +### 1.2 Key Capabilities + +| Capability | Supported | Description | +|------------|-----------|-------------| +| Job Scheduling | Yes | Assign jobs to workers based on resource availability | +| GPU Allocation | Yes | Count-based or index-based GPU assignment | +| Service Discovery | Yes | PORT env var + endpoint retrieval | +| Virtual Environments | Yes | Run jobs in pre-existing venvs | +| TOML Configuration | Yes | Define jobs in config files | +| Graceful Shutdown | Yes | SIGTERM with configurable grace period | +| Log Management | Yes | Capture, store, retrieve stdout/stderr | +| Load Balancing | No | Not supported (see Section 9.2) | +| Job Dependencies | No | Instances are independent | +| Automatic Retries | No | Application must resubmit | + +### 1.3 Architecture + +``` +┌─────────────────────────────────────────────────────────────┐ +│ HEAD NODE │ +│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │ +│ │ REST API │ │ Scheduler │ │ SQLite Database │ │ +│ │ (FastAPI) │ │ (Resource) │ │ (State Persistence)│ │ +│ └─────────────┘ └─────────────┘ └─────────────────────┘ │ +└─────────────────────────────────────────────────────────────┘ + │ + Long-poll heartbeat protocol + │ + ┌───────────────────┼───────────────────┐ + ▼ ▼ ▼ +┌──────────────┐ ┌──────────────┐ ┌──────────────┐ +│ WORKER 0 │ │ WORKER 1 │ │ WORKER 2 │ +│ GPU: 0,1,2,3│ │ GPU: 0,1 │ │ GPU: 0,1,2,3│ +│ CPU: 32 │ │ CPU: 16 │ │ CPU: 64 │ +│ MEM: 128GB │ │ MEM: 64GB │ │ MEM: 256GB │ +└──────────────┘ └──────────────┘ └──────────────┘ +``` + +--- + +## 2. Installation + +### 2.1 Using pip + +```bash +pip install pylet +``` + +### 2.2 Using uv + +```bash +uv add pylet +``` + +--- + +## 3. Quick Start + +### 3.1 Start Head Node + +```bash +# Terminal 1 +pylet start +# Output: Head node running on http://0.0.0.0:8000 +``` + +### 3.2 Start Worker Node + +```bash +# Terminal 2 +pylet start --head localhost:8000 --gpu-units 4 +# Output: Worker registered with 4 GPUs +``` + +### 3.3 Submit a Job + +```bash +# Terminal 3 +pylet submit "nvidia-smi" --gpu-units 1 --name test-job +``` + +### 3.4 Python API + +```python +import pylet + +# Step 1: Initialize (required before any other calls) +pylet.init(address="http://localhost:8000") + +# Step 2: Submit instance +instance = pylet.submit( + command="python train.py", + gpu=1, + cpu=4, + memory=8192, + name="my-training" +) + +# Step 3: Wait and get results +instance.wait() +print(f"Status: {instance.status}") +print(f"Exit code: {instance.exit_code}") +print(f"Logs: {instance.logs()}") +``` + +--- + +## 4. Core Concepts + +### 4.1 Instance + +An **instance** is a unit of work that runs a shell command on a worker node. + +#### Instance Lifecycle States + +``` +PENDING ──► ASSIGNED ──► RUNNING ──► COMPLETED (exit_code = 0) + │ │ + │ ├──► FAILED (exit_code != 0) + │ │ + │ └──► CANCELLED (user requested) + │ + └──► UNKNOWN (worker went offline) +``` + +| State | Description | Terminal | +|-------|-------------|----------| +| `PENDING` | Waiting to be scheduled | No | +| `ASSIGNED` | Scheduled to worker, not yet started | No | +| `RUNNING` | Actively executing | No | +| `COMPLETED` | Finished with exit code 0 | Yes | +| `FAILED` | Finished with non-zero exit code | Yes | +| `CANCELLED` | Terminated by user | Yes | +| `UNKNOWN` | Worker offline while running | No | + +### 4.2 Worker + +A **worker** is a node that executes instances. Workers register with the head node and report their resources. + +#### Worker Health States + +| State | Condition | Description | +|-------|-----------|-------------| +| `ONLINE` | Heartbeat received within 30s | Healthy | +| `SUSPECT` | No heartbeat for 30-90s | May be unhealthy | +| `OFFLINE` | No heartbeat for 90s+ | Assumed dead | + +### 4.3 Resources + +Three resource types are tracked: + +| Resource | Unit | Parameter (Python) | Parameter (CLI) | Default | +|----------|------|-------------------|-----------------|---------| +| GPU | count | `gpu=N` | `--gpu-units N` | 0 | +| CPU | cores | `cpu=N` | `--cpu-cores N` | 1 | +| Memory | MB | `memory=N` | `--memory-mb N` | 512 | + +### 4.4 Service Discovery + +Each instance receives: +- `PORT` environment variable (range: 15600-15700) +- Accessible via `instance.endpoint` as `"host:port"` + +--- + +## 5. Python API Reference + +### 5.1 Module Functions + +#### `pylet.init(address)` + +Initialize the PyLet client. **Must be called before any other operations.** + +```python +# Signature +def init(address: str = "http://localhost:8000") -> None + +# Example +pylet.init(address="http://head-node:8000") +``` + +#### `pylet.submit(command, **kwargs)` + +Submit a new instance. + +```python +# Signature +def submit( + command: str | list[str], + *, + name: str | None = None, + gpu: int = 0, + cpu: int = 1, + memory: int = 512, + # SLLM features + target_worker: str | None = None, + gpu_indices: list[int] | None = None, + exclusive: bool = True, + labels: dict[str, str] | None = None, + env: dict[str, str] | None = None, + # Venv support + venv: str | None = None, +) -> Instance + +# Example: Basic +instance = pylet.submit("echo hello") + +# Example: With resources +instance = pylet.submit( + command="python train.py --epochs 10", + gpu=2, + cpu=8, + memory=16384, + name="training-job" +) + +# Example: With SLLM features +instance = pylet.submit( + command="python inference.py", + gpu_indices=[0, 1], + target_worker="gpu-node-0", + exclusive=True, + labels={"model": "llama"}, + env={"HF_TOKEN": "xxx"} +) + +# Example: With venv +instance = pylet.submit( + command="python script.py", + venv="/shared/venvs/ml-env" +) +``` + +**Parameter Details:** + +| Parameter | Type | Description | Constraints | +|-----------|------|-------------|-------------| +| `command` | `str \| list[str]` | Shell command to execute | Required | +| `name` | `str \| None` | Instance name for lookup | Optional, must be unique | +| `gpu` | `int` | Number of GPUs | >= 0, mutually exclusive with `gpu_indices` | +| `cpu` | `int` | Number of CPU cores | >= 1 | +| `memory` | `int` | Memory in MB | >= 1 | +| `target_worker` | `str \| None` | Pin to specific worker hostname | Worker must exist | +| `gpu_indices` | `list[int] \| None` | Specific GPU indices | Mutually exclusive with `gpu` | +| `exclusive` | `bool` | GPU exclusivity mode | Default: True | +| `labels` | `dict[str, str] \| None` | Custom metadata | Key-value pairs | +| `env` | `dict[str, str] \| None` | Environment variables | Key-value pairs | +| `venv` | `str \| None` | Virtual environment path | Must be absolute path | + +#### `pylet.get(name, *, id)` + +Retrieve an instance by name or ID. + +```python +# Signature +def get(name: str | None = None, *, id: str | None = None) -> Instance + +# Example: By name +instance = pylet.get(name="my-job") + +# Example: By ID +instance = pylet.get(id="550e8400-e29b-41d4-a716-446655440000") +``` + +#### `pylet.instances(status)` + +List all instances, optionally filtered by status. + +```python +# Signature +def instances(status: str | None = None) -> list[Instance] + +# Example: All instances +all_instances = pylet.instances() + +# Example: Only running +running = pylet.instances(status="RUNNING") +``` + +#### `pylet.workers()` + +List all registered workers. + +```python +# Signature +def workers() -> list[WorkerInfo] + +# Example +for worker in pylet.workers(): + print(f"{worker.host}: {worker.gpu_available}/{worker.gpu} GPUs") +``` + +### 5.2 Instance Object + +#### Properties + +| Property | Type | Description | +|----------|------|-------------| +| `id` | `str` | Unique UUID | +| `name` | `str \| None` | User-provided name | +| `status` | `str` | Current lifecycle state | +| `display_status` | `str` | User-friendly status (shows "CANCELLING") | +| `endpoint` | `str \| None` | "host:port" when running | +| `exit_code` | `int \| None` | Exit code when terminal | +| `gpu_indices` | `list[int] \| None` | Allocated GPU indices | + +#### Methods + +```python +# Wait until RUNNING state +instance.wait_running(timeout: float = 300) -> None +# Raises: TimeoutError if not running within timeout + +# Wait until terminal state +instance.wait(timeout: float | None = None) -> None +# Raises: TimeoutError, InstanceFailedError + +# Request cancellation +instance.cancel() -> None + +# Get logs +instance.logs(tail: int | None = None) -> str +# tail=None: full logs +# tail=1000: last 1000 bytes + +# Refresh state from server +instance.refresh() -> None +``` + +### 5.3 WorkerInfo Object + +| Property | Type | Description | +|----------|------|-------------| +| `id` | `str` | Worker UUID | +| `host` | `str` | IP address or hostname | +| `status` | `str` | ONLINE, SUSPECT, or OFFLINE | +| `gpu` | `int` | Total GPU count | +| `gpu_available` | `int` | Available GPUs | +| `cpu` | `int` | Total CPU cores | +| `cpu_available` | `int` | Available CPU cores | +| `memory` | `int` | Total memory (MB) | +| `memory_available` | `int` | Available memory (MB) | +| `gpu_indices_available` | `list[int]` | Available GPU indices | + +### 5.4 Exceptions + +```python +from pylet import ( + PyletError, # Base exception + NotInitializedError, # pylet.init() not called + NotFoundError, # Instance/worker not found + TimeoutError, # Operation timed out + InstanceFailedError, # Instance FAILED/CANCELLED + InstanceTerminatedError, # Invalid op on terminal instance +) +``` + +| Exception | Cause | Recovery | +|-----------|-------|----------| +| `NotInitializedError` | `pylet.init()` not called | Call `pylet.init(address)` | +| `NotFoundError` | Instance/worker doesn't exist | Check name/ID | +| `TimeoutError` | Operation exceeded timeout | Increase timeout or cancel | +| `InstanceFailedError` | Instance entered FAILED/CANCELLED | Check `e.instance.logs()` | +| `InstanceTerminatedError` | Operation on terminal instance | Submit new instance | + +### 5.5 Async API + +All functions are available in `pylet.aio` with async/await: + +```python +import asyncio +import pylet.aio as pylet + +async def main(): + await pylet.init(address="http://localhost:8000") + + instance = await pylet.submit("python train.py", gpu=1) + await instance.wait_running() + print(f"Endpoint: {instance.endpoint}") + + await instance.wait() + print(f"Exit code: {instance.exit_code}") + +asyncio.run(main()) +``` + +--- + +## 6. CLI Reference + +### 6.1 Cluster Management + +#### Start Head Node + +```bash +pylet start [--port PORT] +``` + +| Option | Default | Description | +|--------|---------|-------------| +| `--port` | 8000 | HTTP server port | + +#### Start Worker Node + +```bash +pylet start --head HOST:PORT --gpu-units N [OPTIONS] +``` + +| Option | Default | Description | +|--------|---------|-------------| +| `--head` | Required | Head node address | +| `--gpu-units` | Required | Number of GPUs | +| `--cpu-cores` | Auto | Number of CPU cores | +| `--memory-mb` | Auto | Memory in MB | + +### 6.2 Instance Management + +#### Submit Instance + +```bash +pylet submit COMMAND [OPTIONS] +pylet submit --config FILE [OPTIONS] +``` + +| Option | Description | +|--------|-------------| +| `COMMAND` | Shell command (or use --config) | +| `--config`, `-c` | TOML config file path | +| `--name` | Instance name | +| `--gpu-units` | GPU count | +| `--cpu-cores` | CPU cores | +| `--memory-mb` | Memory in MB | +| `--target-worker` | Pin to worker | +| `--gpu-indices` | Specific GPUs (comma-separated) | +| `--exclusive/--no-exclusive` | GPU exclusivity | +| `--label` | Custom label (key=value, repeatable) | +| `--env` | Environment var (key=value, repeatable) | +| `--venv` | Virtual environment path | + +#### Get Instance + +```bash +pylet get-instance --name NAME +pylet get-instance --instance-id ID +``` + +#### Get Endpoint + +```bash +pylet get-endpoint --name NAME +# Output: 192.168.1.5:15600 +``` + +#### List Workers + +```bash +pylet list-workers +``` + +#### Get Logs + +```bash +pylet logs INSTANCE_ID [OPTIONS] +``` + +| Option | Description | +|--------|-------------| +| `--tail N` | Last N bytes | +| `--follow` | Real-time tail | + +#### Cancel Instance + +```bash +pylet cancel INSTANCE_ID +``` + +#### Get Result + +```bash +pylet get-result INSTANCE_ID +``` + +--- + +## 7. Configuration Files (TOML) + +### 7.1 Schema + +```toml +# job.toml + +# Required +command = "python train.py" # String or array + +# Optional +name = "my-job" # Defaults to filename + +[resources] +gpus = 2 # GPU count (mutually exclusive with gpu_indices) +cpus = 8 # CPU cores +memory = "16Gi" # Memory with units +gpu_indices = [0, 1] # Specific GPUs (mutually exclusive with gpus) +exclusive = true # GPU exclusivity +target_worker = "gpu-node-0" # Pin to worker + +[env] +KEY = "value" # Static value +HF_TOKEN = "${HF_TOKEN}" # Shell env interpolation + +[labels] +key = "value" # Custom metadata +``` + +### 7.2 Memory Format + +| Format | Meaning | Example | +|--------|---------|---------| +| `Gi` or `G` | Gibibytes (×1024 MB) | `"16Gi"` → 16384 MB | +| `Mi` or `M` | Mebibytes | `"512Mi"` → 512 MB | +| `Ki` or `K` | Kibibytes (÷1024 MB) | `"1024Ki"` → 1 MB | +| `Ti` or `T` | Tebibytes | `"1Ti"` → 1048576 MB | +| Number | Megabytes | `"8192"` → 8192 MB | + +### 7.3 Environment Variable Interpolation + +```toml +[env] +# Full variable +TOKEN = "${HF_TOKEN}" + +# Alternative syntax +TOKEN = "$HF_TOKEN" + +# Partial interpolation +PATH = "/data/${USER}/output" +``` + +### 7.4 Precedence + +``` +CLI arguments > Config file > Defaults +``` + +### 7.5 Example Configurations + +#### Minimal + +```toml +command = "echo hello" +``` + +#### Training Job + +```toml +name = "llama-finetune" +command = "torchrun --nproc_per_node=4 train.py" + +[resources] +gpus = 4 +cpus = 32 +memory = "128Gi" + +[env] +HF_TOKEN = "${HF_TOKEN}" +WANDB_API_KEY = "${WANDB_API_KEY}" + +[labels] +project = "llama" +stage = "training" +``` + +#### Inference Service + +```toml +name = "vllm-service" +command = "vllm serve meta-llama/Llama-3.1-8B --port $PORT" + +[resources] +gpus = 1 +memory = "32Gi" + +[env] +HF_TOKEN = "${HF_TOKEN}" + +[labels] +type = "inference" +``` + +#### Non-Exclusive GPU (SLLM Storage) + +```toml +name = "sllm-store" +command = "sllm-store start --port $PORT" + +[resources] +gpu_indices = [0, 1, 2, 3] +exclusive = false +target_worker = "storage-node" + +[labels] +type = "storage" +``` + +--- + +## 8. Environment Variables + +### 8.1 Path Configuration + +| Variable | Default | Description | +|----------|---------|-------------| +| `PYLET_DATA_DIR` | `~/.pylet` | Base data directory | +| `PYLET_DB_PATH` | `$DATA_DIR/pylet.db` | SQLite database | +| `PYLET_RUN_DIR` | `$DATA_DIR/run` | Process state | +| `PYLET_LOG_DIR` | `$DATA_DIR/logs` | Log storage | + +### 8.2 Worker Configuration + +| Variable | Default | Description | +|----------|---------|-------------| +| `PYLET_WORKER_PORT_MIN` | 15600 | Port range start | +| `PYLET_WORKER_PORT_MAX` | 15700 | Port range end | +| `PYLET_WORKER_HTTP_PORT` | 15599 | Worker HTTP server | + +### 8.3 Controller Configuration + +| Variable | Default | Description | +|----------|---------|-------------| +| `PYLET_SUSPECT_THRESHOLD_SECONDS` | 30 | Worker suspect threshold | +| `PYLET_OFFLINE_THRESHOLD_SECONDS` | 90 | Worker offline threshold | +| `PYLET_LIVENESS_CHECK_INTERVAL` | 5 | Health check frequency | +| `PYLET_SCHEDULER_INTERVAL` | 2 | Scheduling loop frequency | +| `PYLET_HEARTBEAT_POLL_TIMEOUT` | 30.0 | Heartbeat timeout | + +### 8.4 Graceful Shutdown + +| Variable | Default | Description | +|----------|---------|-------------| +| `PYLET_DEFAULT_GRACE_PERIOD_SECONDS` | 30 | SIGTERM grace period | +| `PYLET_MAX_GRACE_PERIOD_SECONDS` | 300 | Maximum grace period | + +### 8.5 Log Configuration + +| Variable | Default | Description | +|----------|---------|-------------| +| `PYLET_LOG_CHUNK_SIZE` | 10485760 | Log file size (10MB) | +| `PYLET_LOG_MAX_FILES` | 5 | Log file count | +| `PYLET_LOG_MAX_RESPONSE_SIZE` | 10485760 | Max response size | + +--- + +## 9. Features and Limitations + +### 9.1 Feature Matrix + +| Feature | Status | Details | +|---------|--------|---------| +| GPU Scheduling | Supported | Count-based or index-based | +| CPU Scheduling | Supported | Core-based allocation | +| Memory Scheduling | Supported | MB-based allocation | +| Service Discovery | Supported | PORT env + endpoint API | +| Virtual Environments | Supported | Pre-existing venvs only | +| TOML Configuration | Supported | Single job per file | +| Graceful Shutdown | Supported | SIGTERM → SIGKILL | +| Log Capture | Supported | 50MB max per instance | +| Persistence | Supported | SQLite with crash recovery | +| Load Balancing | Not Supported | See Section 9.2 | +| Job Dependencies | Not Supported | Use application logic | +| Automatic Retries | Not Supported | Application resubmits | +| Multi-Worker Jobs | Not Supported | One worker per instance | +| Fractional GPU | Not Supported | Integer allocation only | +| Authentication | Not Supported | No auth between nodes | + +### 9.2 Load Balancing (Not Supported) + +**PyLet does NOT include load balancing.** + +#### Scheduler vs Load Balancer + +| Concept | Function | PyLet | +|---------|----------|-------| +| **Scheduler** | Assigns jobs to workers | Yes | +| **Load Balancer** | Distributes requests to services | No | + +#### What's Missing + +- Health-based routing +- Round-robin / least-connections algorithms +- Automatic failover + +> **Note:** The `replicas` parameter has been deprecated. To deploy multiple instances, +> use a loop as shown in the examples below. + +#### Workarounds + +**Option 1: External Load Balancer** + +```python +import pylet + +pylet.init() + +# Deploy multiple instances using a loop +endpoints = [] +for i in range(3): + inst = pylet.submit(f"vllm serve model --port $PORT", gpu=1, name=f"vllm-{i}") + inst.wait_running() + endpoints.append(inst.endpoint) + +# Use nginx/HAProxy to balance across endpoints +print(f"Configure load balancer with: {endpoints}") +``` + +**Option 2: Application-Level** + +```python +import random + +class RoundRobinBalancer: + def __init__(self, endpoints): + self.endpoints = endpoints + self.index = 0 + + def next(self): + ep = self.endpoints[self.index] + self.index = (self.index + 1) % len(self.endpoints) + return ep + +balancer = RoundRobinBalancer(endpoints) +endpoint = balancer.next() +``` + +**Option 3: nginx Configuration** + +```nginx +upstream vllm { + least_conn; + server 192.168.1.10:15600; + server 192.168.1.11:15601; + server 192.168.1.12:15602; +} + +server { + listen 80; + location / { + proxy_pass http://vllm; + } +} +``` + +### 9.3 Resource Limitations + +| Limitation | Value | Workaround | +|------------|-------|------------| +| Port range | 101 per worker | Deploy fewer services | +| Log retention | 50MB per instance | External log storage | +| SQLite scale | ~10K instances | Archive completed | +| Single head | No redundancy | Run on reliable node | + +--- + +## 10. Examples + +### 10.1 Basic Task Execution + +```python +import pylet + +pylet.init() + +instance = pylet.submit("echo 'Hello, World!'") +instance.wait() + +print(f"Output: {instance.logs()}") +# Output: Hello, World! +``` + +### 10.2 GPU Training Job + +```python +import pylet + +pylet.init() + +instance = pylet.submit( + command="python train.py --model bert --epochs 10", + gpu=2, + cpu=8, + memory=32768, + name="bert-training" +) + +instance.wait() + +if instance.status == "COMPLETED": + print("Training succeeded") +else: + print(f"Training failed: exit_code={instance.exit_code}") + print(instance.logs()) +``` + +### 10.3 Deploy Inference Service + +```python +import pylet +import httpx + +pylet.init() + +# Deploy +instance = pylet.submit( + command="vllm serve meta-llama/Llama-3.1-8B-Instruct --port $PORT", + gpu=1, + memory=32768, + name="llama-service" +) + +# Wait for service +instance.wait_running(timeout=300) +endpoint = instance.endpoint +print(f"Service at: {endpoint}") + +# Use service +response = httpx.post( + f"http://{endpoint}/v1/chat/completions", + json={ + "model": "meta-llama/Llama-3.1-8B-Instruct", + "messages": [{"role": "user", "content": "Hello!"}] + }, + timeout=60 +) +print(response.json()) + +# Cleanup +instance.cancel() +instance.wait() +``` + +### 10.4 Multi-GPU Tensor Parallelism + +```python +import pylet + +pylet.init() + +instance = pylet.submit( + command="vllm serve meta-llama/Llama-3.1-70B --port $PORT --tensor-parallel-size 4", + gpu=4, + memory=131072, + name="llama-70b" +) + +instance.wait_running(timeout=600) +print(f"70B model at: {instance.endpoint}") +``` + +### 10.5 Specific GPU Indices + +```python +import pylet + +pylet.init() + +# Use specific GPUs +instance = pylet.submit( + command="python train.py", + gpu_indices=[0, 2], # Use GPU 0 and GPU 2 specifically + name="specific-gpu-job" +) + +instance.wait() +``` + +### 10.6 Non-Exclusive GPU Sharing + +```python +import pylet + +pylet.init() + +# Storage daemon shares GPUs +storage = pylet.submit( + command="sllm-store start --port $PORT", + gpu_indices=[0, 1, 2, 3], + exclusive=False, # Allow sharing + target_worker="storage-node", + name="storage-daemon" +) + +storage.wait_running() + +# Inference can share GPU 0 +inference = pylet.submit( + command="python inference.py --port $PORT", + gpu_indices=[0], # Shares with storage daemon + name="inference" +) + +inference.wait_running() +``` + +### 10.7 Using Virtual Environment + +```python +import pylet + +pylet.init() + +instance = pylet.submit( + command="python -c 'import torch; print(torch.__version__)'", + venv="/shared/venvs/torch-2.0", + name="torch-version" +) + +instance.wait() +print(instance.logs()) +``` + +### 10.8 Using TOML Configuration + +**File: `job.toml`** + +```toml +name = "config-job" +command = "python train.py" + +[resources] +gpus = 2 +memory = "16Gi" + +[env] +HF_TOKEN = "${HF_TOKEN}" +``` + +**Submit:** + +```bash +# Use config +pylet submit --config job.toml + +# Override GPU count +pylet submit --config job.toml --gpu-units 4 +``` + +### 10.9 Batch Job Submission + +```python +import pylet + +pylet.init() + +configs = [ + {"lr": 0.001, "batch": 32}, + {"lr": 0.0001, "batch": 64}, + {"lr": 0.00001, "batch": 128}, +] + +instances = [] +for i, cfg in enumerate(configs): + inst = pylet.submit( + f"python train.py --lr {cfg['lr']} --batch {cfg['batch']}", + gpu=1, + name=f"hparam-{i}", + labels={"lr": str(cfg['lr']), "batch": str(cfg['batch'])} + ) + instances.append(inst) + +# Wait for all +for inst in instances: + inst.wait() + print(f"{inst.name}: {inst.status}") +``` + +### 10.10 Error Handling + +```python +import pylet +from pylet import NotInitializedError, TimeoutError, InstanceFailedError, NotFoundError + +# Handle initialization +try: + pylet.submit("echo test") +except NotInitializedError: + pylet.init() + +# Handle timeout +try: + instance = pylet.submit("python long_job.py", gpu=1) + instance.wait(timeout=60) +except TimeoutError: + print("Timed out, cancelling...") + instance.cancel() + instance.wait() + +# Handle failure +try: + instance = pylet.submit("python might_fail.py", gpu=1) + instance.wait() +except InstanceFailedError as e: + print(f"Failed: exit_code={e.instance.exit_code}") + print(e.instance.logs()) + +# Handle not found +try: + inst = pylet.get(name="nonexistent") +except NotFoundError: + print("Instance not found") +``` + +### 10.11 Local Cluster for Testing + +```python +import pylet + +with pylet.local_cluster(workers=2, gpu_per_worker=1) as cluster: + # pylet auto-initialized + + inst1 = pylet.submit("nvidia-smi", gpu=1) + inst2 = pylet.submit("nvidia-smi", gpu=1) + + inst1.wait() + inst2.wait() + + print(inst1.logs()) + print(inst2.logs()) +# Cluster auto-cleaned +``` + +### 10.12 Async API + +```python +import asyncio +import pylet.aio as pylet + +async def main(): + await pylet.init() + + # Submit multiple concurrently + instances = await asyncio.gather( + pylet.submit("task1.py", gpu=1), + pylet.submit("task2.py", gpu=1), + pylet.submit("task3.py", gpu=1), + ) + + # Wait for all + await asyncio.gather(*[inst.wait() for inst in instances]) + + for inst in instances: + print(f"{inst.name}: {inst.status}") + +asyncio.run(main()) +``` + +### 10.13 Monitor Running Instance + +```python +import pylet +import time + +pylet.init() + +instance = pylet.submit("python long_training.py", gpu=1, name="monitor-demo") +instance.wait_running() + +# Poll status and logs +while instance.status == "RUNNING": + instance.refresh() + print(f"Status: {instance.status}") + print(f"Recent logs:\n{instance.logs(tail=500)}") + time.sleep(30) + +print(f"Final: {instance.status}, exit={instance.exit_code}") +``` + +--- + +## 11. Troubleshooting + +### 11.1 Common Errors + +| Error | Cause | Solution | +|-------|-------|----------| +| `NotInitializedError` | `pylet.init()` not called | Call `pylet.init(address)` first | +| `NotFoundError` | Wrong name/ID | Verify instance exists with `pylet.instances()` | +| `TimeoutError` | Operation too slow | Increase timeout or check resources | +| Instance stuck `PENDING` | No worker has resources | Check `pylet.workers()` for availability | +| Instance `UNKNOWN` | Worker went offline | Check worker health, may recover | + +### 11.2 Debugging Commands + +```bash +# Check worker status +pylet list-workers + +# Check all instances +pylet get-instance --name NAME + +# Get logs +pylet logs INSTANCE_ID --tail 1000 + +# Follow logs real-time +pylet logs INSTANCE_ID --follow +``` + +### 11.3 Resource Issues + +**Instance stuck in PENDING:** + +```python +# Check available resources +workers = pylet.workers() +for w in workers: + print(f"{w.host}: GPU {w.gpu_available}/{w.gpu}, CPU {w.cpu_available}/{w.cpu}") +``` + +**GPU not available:** + +```python +# Check specific GPU indices +for w in pylet.workers(): + print(f"{w.host}: Available GPUs: {w.gpu_indices_available}") +``` + +--- + +## See Also + +- [API Reference](api_reference.md) - Detailed API documentation +- [CLI Reference](cli_reference.md) - Complete CLI command reference diff --git a/docs/instance-state-machine.md b/docs/instance-state-machine.md new file mode 100644 index 0000000..6626e31 --- /dev/null +++ b/docs/instance-state-machine.md @@ -0,0 +1,204 @@ +# PyLet Instance State Machine + +This document visualizes the complete state machine for PyLet instances, showing all valid state transitions and the events that trigger them. + +## State Machine Diagram + +```mermaid +stateDiagram-v2 + [*] --> PENDING: submit() + + PENDING --> ASSIGNED: Scheduler finds resources + PENDING --> CANCELLED: cancel() while pending + + ASSIGNED --> RUNNING: Worker starts process + ASSIGNED --> UNKNOWN: Worker goes OFFLINE + ASSIGNED --> FAILED: Worker fails to start + ASSIGNED --> CANCELLED: cancel() while assigned + + RUNNING --> COMPLETED: Process exits (code=0) + RUNNING --> FAILED: Process exits (code≠0) + RUNNING --> UNKNOWN: Worker goes OFFLINE + RUNNING --> CANCELLED: cancel() request + + UNKNOWN --> RUNNING: Worker reconnects (process alive) + UNKNOWN --> COMPLETED: Worker reconnects (process completed) + UNKNOWN --> FAILED: Worker reconnects (process failed) + UNKNOWN --> CANCELLED: cancel() while unknown + + COMPLETED --> [*] + FAILED --> [*] + CANCELLED --> [*] + + note right of PENDING + Initial state after submission + Waiting in queue for resources + end note + + note right of ASSIGNED + Scheduled to worker + Resources allocated + Attempt number incremented + end note + + note right of RUNNING + Process actively executing + Port allocated + Logs being captured + end note + + note right of UNKNOWN + Worker lost contact + Outcome uncertain + May resolve when worker returns + end note + + note right of COMPLETED + Terminal state + Exit code = 0 + Resources freed + end note + + note right of FAILED + Terminal state + Exit code ≠ 0 + Resources freed + end note + + note right of CANCELLED + Terminal state + User requested cancellation + Resources freed + end note +``` + +## State Descriptions + +### Non-Terminal States + +| State | Description | Possible Transitions | +|-------|-------------|---------------------| +| **PENDING** | Instance submitted but not yet scheduled | ASSIGNED, CANCELLED | +| **ASSIGNED** | Scheduled to worker, resources allocated | RUNNING, UNKNOWN, FAILED, CANCELLED | +| **RUNNING** | Process actively executing on worker | COMPLETED, FAILED, UNKNOWN, CANCELLED | +| **UNKNOWN** | Worker offline, outcome uncertain | RUNNING, COMPLETED, FAILED, CANCELLED | + +### Terminal States + +| State | Description | Exit Condition | +|-------|-------------|----------------| +| **COMPLETED** | Successfully finished | Process exit code = 0 | +| **FAILED** | Failed execution | Process exit code ≠ 0 | +| **CANCELLED** | User cancelled | cancel() called and processed | + +## Transition Triggers + +### Normal Lifecycle Path +``` +PENDING → ASSIGNED → RUNNING → COMPLETED +``` + +1. **submit()** → Creates instance in PENDING state +2. **Scheduler** → Finds resources, transitions to ASSIGNED +3. **Worker starts process** → Transitions to RUNNING +4. **Process exits successfully** → Transitions to COMPLETED + +### Failure Paths + +#### Process Failure +``` +PENDING → ASSIGNED → RUNNING → FAILED +``` +- Process exits with non-zero code + +#### Startup Failure +``` +PENDING → ASSIGNED → FAILED +``` +- Worker cannot start the process + +### Cancellation Paths + +#### Cancel During Pending +``` +PENDING → CANCELLED +``` +- Immediate cancellation (no worker involved) + +#### Cancel During Execution +``` +RUNNING → CANCELLED +``` +1. Controller sets `cancel_requested_at` timestamp +2. Instance removed from worker's desired state +3. Worker sends SIGTERM → waits grace period → SIGKILL +4. Worker reports CANCELLED status + +### Worker Failure Paths + +#### Worker Goes Offline +``` +ASSIGNED/RUNNING → UNKNOWN +``` +- Worker stops heartbeat for >60s +- Instance outcome becomes uncertain + +#### Worker Recovers +``` +UNKNOWN → RUNNING/COMPLETED/FAILED +``` +- Worker reconnects and reports actual state +- Or timeout causes controller to mark as FAILED + +## Special Mechanisms + +### Display Status vs Database Status + +When `cancel_requested_at` is set but status is not terminal, the display shows: +```python +display_status = "CANCELLING" # Visual indicator +actual_status = "RUNNING" | "ASSIGNED" # Database state +``` + +This mirrors Kubernetes' "Terminating" state pattern. + +### Attempt-Based Fencing + +Each transition to ASSIGNED increments the attempt number: +``` +Instance assigned to Worker A (attempt=1) +Worker A reports → accepted + +Worker A fails, instance reassigned to Worker B (attempt=2) +Worker A returns → reports rejected (stale attempt) +Worker B reports → accepted +``` + +### Heartbeat Protocol + +``` +Worker → Controller: Instance reports +Controller → Worker: Desired state (generation number) + +State change triggers: +1. Controller increments generation +2. Worker long-poll returns immediately +3. Worker reconciles to desired state +``` + +## Code References + +- State definitions: [schemas.py:11-21](../pylet/schemas.py#L11-L21) +- Transition validation: [schemas.py:36-62](../pylet/schemas.py#L36-L62) +- Scheduling logic: [controller.py:597-794](../pylet/controller.py#L597-L794) +- Worker reconciliation: [worker.py:340-386](../pylet/worker.py#L340-L386) +- Heartbeat processing: [controller.py:126-162](../pylet/controller.py#L126-L162) +- Liveness evaluation: [controller.py:486-523](../pylet/controller.py#L486-L523) + +## State Machine Properties + +✅ **Deterministic**: Each state has well-defined transitions +✅ **Terminal states**: COMPLETED, FAILED, CANCELLED have no outgoing transitions +✅ **Recoverable**: UNKNOWN state allows recovery from worker failures +✅ **Fenced**: Attempt numbers prevent stale updates +✅ **Observable**: All transitions logged and queryable via API diff --git a/pylet/_instance.py b/pylet/_instance.py index 3f459f5..5964f3f 100644 --- a/pylet/_instance.py +++ b/pylet/_instance.py @@ -130,7 +130,9 @@ def wait_running(self, timeout: float = 300) -> None: break time.sleep(min(poll_interval, remaining)) - raise TimeoutError(f"Instance not running after {timeout}s (status: {self.status})") + raise TimeoutError( + f"Instance not running after {timeout}s (status: {self.status})" + ) def wait(self, timeout: Optional[float] = None) -> None: """ @@ -161,12 +163,15 @@ def wait(self, timeout: Optional[float] = None) -> None: else: time.sleep(poll_interval) - def cancel(self) -> None: + def cancel(self, delete: bool = False) -> None: """ Request instance cancellation. Returns immediately (cancellation is async). + Args: + delete: If True, delete the instance after cancellation (default False) + Raises: InstanceTerminatedError: Instance already in terminal state """ @@ -181,6 +186,10 @@ def cancel(self) -> None: response = client.post(f"{address}/instances/{self.id}/cancel") response.raise_for_status() + if delete: + response = client.delete(f"{address}/instances/{self.id}") + response.raise_for_status() + def logs(self, tail: Optional[int] = None) -> str: """ Get instance logs. @@ -201,6 +210,9 @@ def logs(self, tail: Optional[int] = None) -> str: f"{address}/instances/{self.id}/logs", params={"limit": 0}, ) + # Handle unavailable logs early + if response.status_code in (503, 404): + return "" response.raise_for_status() data = response.json() total_size = data.get("total_size", 0) @@ -212,6 +224,13 @@ def logs(self, tail: Optional[int] = None) -> str: f"{address}/instances/{self.id}/logs", params=params, ) + + # Handle case where logs are unavailable (worker offline, instance never assigned) + if response.status_code == 503: + return "" # Logs unavailable + if response.status_code == 404: + return "" # Instance not assigned to worker + response.raise_for_status() data = response.json() diff --git a/pylet/_sync_api.py b/pylet/_sync_api.py index 0eae78e..4593c93 100644 --- a/pylet/_sync_api.py +++ b/pylet/_sync_api.py @@ -103,7 +103,7 @@ def submit( venv: Path to pre-existing virtualenv (must be absolute path) Returns: - Instance handle + Instance handle for the submitted instance. Raises: NotInitializedError: init() not called @@ -161,12 +161,10 @@ def submit( response = client.post(f"{address}/instances", json=submission) response.raise_for_status() - instance_id = response.json()["instance_id"] - - # Fetch full instance data + resp_data = response.json() + instance_id = resp_data["instance_id"] response = client.get(f"{address}/instances/{instance_id}") response.raise_for_status() - return Instance(response.json()) @@ -257,7 +255,9 @@ def instances( result = [Instance(data) for data in response.json()] if labels and len(labels) > 1: result = [ - inst for inst in result if all(inst.labels.get(k) == v for k, v in labels.items()) + inst + for inst in result + if all(inst.labels.get(k) == v for k, v in labels.items()) ] return result @@ -280,3 +280,133 @@ def workers() -> list[WorkerInfo]: response.raise_for_status() return [WorkerInfo(data) for data in response.json()] + + +def delete( + name: Optional[str] = None, + *, + id: Optional[str] = None, +) -> None: + """ + Delete an instance by name or ID. + + Args: + name: Instance name (positional or keyword) + id: Instance ID (keyword only) + + Raises: + NotInitializedError: init() not called + NotFoundError: Instance not found + ValueError: Neither name nor id provided + + Example: + pylet.delete("my-instance") + pylet.delete(id="abc-123-def") + """ + if name is None and id is None: + raise ValueError("Either 'name' or 'id' must be provided") + + client = _get_client() + address = _get_head_address() + + try: + if id is not None: + response = client.delete(f"{address}/instances/{id}") + else: + response = client.delete(f"{address}/instances/by-name/{name}") + + response.raise_for_status() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + identifier = id if id else f"name='{name}'" + raise NotFoundError(f"Instance not found: {identifier}") from e + raise + + +def delete_all(*, status: Optional[str] = None) -> int: + """ + Delete all instances, optionally filtered by status. + + Args: + status: Only delete instances with this status (e.g., "COMPLETED", "FAILED", "CANCELLED") + + Returns: + Number of instances deleted + + Raises: + NotInitializedError: init() not called + + Example: + # Delete all completed instances + count = pylet.delete_all(status="COMPLETED") + + # Delete all instances (use with caution!) + count = pylet.delete_all() + """ + client = _get_client() + address = _get_head_address() + + params = {} + if status: + params["status"] = status + + response = client.delete(f"{address}/instances", params=params) + response.raise_for_status() + + return response.json()["deleted_count"] + + +def delete_worker(worker_id: str) -> None: + """ + Delete a worker by ID. + + Only allows deletion of OFFLINE workers. + + Args: + worker_id: Worker ID to delete + + Raises: + NotInitializedError: init() not called + NotFoundError: Worker not found + ValueError: Worker is not OFFLINE (only OFFLINE workers can be deleted) + + Example: + pylet.delete_worker("worker-123") + """ + client = _get_client() + address = _get_head_address() + + try: + response = client.delete(f"{address}/workers/{worker_id}") + response.raise_for_status() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise NotFoundError(f"Worker not found: {worker_id}") from e + elif e.response.status_code == 400: + raise ValueError( + "Cannot delete ONLINE or SUSPECT workers. Only OFFLINE workers can be deleted." + ) from e + raise + + +def delete_all_offline_workers() -> int: + """ + Delete all workers with OFFLINE status. + + Returns: + Number of workers deleted + + Raises: + NotInitializedError: init() not called + + Example: + count = pylet.delete_all_offline_workers() + print(f"Deleted {count} offline workers") + """ + client = _get_client() + address = _get_head_address() + + response = client.delete(f"{address}/workers") + response.raise_for_status() + + return response.json()["deleted_count"] diff --git a/pylet/aio/__init__.py b/pylet/aio/__init__.py index fb0b746..4d0ec3c 100644 --- a/pylet/aio/__init__.py +++ b/pylet/aio/__init__.py @@ -124,7 +124,7 @@ async def submit( venv: Path to pre-existing virtualenv (must be absolute path) Returns: - Instance handle + Instance handle for the submitted instance. Raises: NotInitializedError: init() not called @@ -161,12 +161,10 @@ async def submit( response = await client.post(f"{address}/instances", json=submission) response.raise_for_status() - instance_id = response.json()["instance_id"] - - # Fetch full instance data + resp_data = response.json() + instance_id = resp_data["instance_id"] response = await client.get(f"{address}/instances/{instance_id}") response.raise_for_status() - return Instance(response.json()) @@ -257,3 +255,133 @@ async def workers() -> list[WorkerInfo]: response.raise_for_status() return [WorkerInfo(data) for data in response.json()] + + +async def delete( + name: Optional[str] = None, + *, + id: Optional[str] = None, +) -> None: + """ + Delete an instance by name or ID. + + Args: + name: Instance name (positional or keyword) + id: Instance ID (keyword only) + + Raises: + NotInitializedError: init() not called + NotFoundError: Instance not found + ValueError: Neither name nor id provided + + Example: + await pylet.aio.delete("my-instance") + await pylet.aio.delete(id="abc-123-def") + """ + if name is None and id is None: + raise ValueError("Either 'name' or 'id' must be provided") + + client = _get_async_client() + address = _get_head_address() + + try: + if id is not None: + response = await client.delete(f"{address}/instances/{id}") + else: + response = await client.delete(f"{address}/instances/by-name/{name}") + + response.raise_for_status() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + identifier = id if id else f"name='{name}'" + raise NotFoundError(f"Instance not found: {identifier}") from e + raise + + +async def delete_all(*, status: Optional[str] = None) -> int: + """ + Delete all instances, optionally filtered by status. + + Args: + status: Only delete instances with this status (e.g., "COMPLETED", "FAILED", "CANCELLED") + + Returns: + Number of instances deleted + + Raises: + NotInitializedError: init() not called + + Example: + # Delete all completed instances + count = await pylet.aio.delete_all(status="COMPLETED") + + # Delete all instances (use with caution!) + count = await pylet.aio.delete_all() + """ + client = _get_async_client() + address = _get_head_address() + + params = {} + if status: + params["status"] = status + + response = await client.delete(f"{address}/instances", params=params) + response.raise_for_status() + + return response.json()["deleted_count"] + + +async def delete_worker(worker_id: str) -> None: + """ + Delete a worker by ID. + + Only allows deletion of OFFLINE workers. + + Args: + worker_id: Worker ID to delete + + Raises: + NotInitializedError: init() not called + NotFoundError: Worker not found + ValueError: Worker is not OFFLINE (only OFFLINE workers can be deleted) + + Example: + await pylet.aio.delete_worker("worker-123") + """ + client = _get_async_client() + address = _get_head_address() + + try: + response = await client.delete(f"{address}/workers/{worker_id}") + response.raise_for_status() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise NotFoundError(f"Worker not found: {worker_id}") from e + elif e.response.status_code == 400: + raise ValueError( + "Cannot delete ONLINE or SUSPECT workers. Only OFFLINE workers can be deleted." + ) from e + raise + + +async def delete_all_offline_workers() -> int: + """ + Delete all workers with OFFLINE status. + + Returns: + Number of workers deleted + + Raises: + NotInitializedError: init() not called + + Example: + count = await pylet.aio.delete_all_offline_workers() + print(f"Deleted {count} offline workers") + """ + client = _get_async_client() + address = _get_head_address() + + response = await client.delete(f"{address}/workers") + response.raise_for_status() + + return response.json()["deleted_count"] diff --git a/pylet/aio/_instance.py b/pylet/aio/_instance.py index 28a9635..254a0ed 100644 --- a/pylet/aio/_instance.py +++ b/pylet/aio/_instance.py @@ -102,7 +102,9 @@ async def wait_running(self, timeout: float = 300) -> None: await asyncio.sleep(min(poll_interval, timeout - elapsed)) elapsed += poll_interval - raise TimeoutError(f"Instance not running after {timeout}s (status: {self.status})") + raise TimeoutError( + f"Instance not running after {timeout}s (status: {self.status})" + ) async def wait(self, timeout: Optional[float] = None) -> None: """ @@ -133,12 +135,15 @@ async def wait(self, timeout: Optional[float] = None) -> None: else: await asyncio.sleep(poll_interval) - async def cancel(self) -> None: + async def cancel(self, delete: bool = False) -> None: """ Request instance cancellation. Returns immediately (cancellation is async). + Args: + delete: If True, delete the instance after cancellation (default False) + Raises: InstanceTerminatedError: Instance already in terminal state """ @@ -153,6 +158,10 @@ async def cancel(self) -> None: response = await client.post(f"{address}/instances/{self.id}/cancel") response.raise_for_status() + if delete: + response = await client.delete(f"{address}/instances/{self.id}") + response.raise_for_status() + async def logs(self, tail: Optional[int] = None) -> str: """ Get instance logs. diff --git a/pylet/cli.py b/pylet/cli.py index 5bb52a0..a0d7f6e 100644 --- a/pylet/cli.py +++ b/pylet/cli.py @@ -32,6 +32,12 @@ def cli(): default=None, help="Head node address (ip:port). If not provided, starts the head node.", ) +@click.option( + "--port", + type=int, + default=None, + help="Port to run on. For head node: API server port (default 8000). For worker: HTTP server port (default 15599).", +) @click.option( "--cpu-cores", type=int, @@ -50,23 +56,42 @@ def cli(): default=4096, help="Amount of memory in MB for the worker.", ) -def start(head, cpu_cores, gpu_units, memory_mb): - """Start the PyLet server (head node) or a worker node.""" +def start(head, port, cpu_cores, gpu_units, memory_mb): + """Start the PyLet server (head node) or a worker node. + + Examples: + + # Start head node on default port 8000 + pylet start + + # Start head node on custom port + pylet start --port 9000 + + # Start worker connecting to head at localhost:8000 + pylet start --head localhost:8000 + + # Start worker with custom HTTP server port + pylet start --head localhost:8000 --port 16000 + """ # Configure file logging for server/worker processes configure_file_logging() if head is None: # Start the server (head node) - click.echo("Starting PyLet server...") - uvicorn.run("pylet.server:app", host="0.0.0.0", port=8000, reload=False) + head_port = port if port is not None else 8000 + click.echo(f"Starting PyLet server on port {head_port}...") + uvicorn.run("pylet.server:app", host="0.0.0.0", port=head_port, reload=False) else: # Start a worker node connected to the head node + worker_http_port = port if port is not None else 15599 click.echo(f"Starting PyLet worker connected to head node at {head}...") + click.echo(f"Worker HTTP server will run on port {worker_http_port}") worker = Worker( head_address=head, cpu_cores=cpu_cores, gpu_units=gpu_units, memory_mb=memory_mb, + http_port=worker_http_port, ) asyncio.run(worker.run()) @@ -79,12 +104,16 @@ def start(head, cpu_cores, gpu_units, memory_mb): @click.option("--memory-mb", type=int, default=None, help="Memory in MB required.") @click.option("--name", type=str, default=None, help="Optional instance name.") @click.option("--target-worker", default=None, help="Target worker node.") -@click.option("--gpu-indices", default=None, help="Specific GPU indices (comma-separated).") +@click.option( + "--gpu-indices", default=None, help="Specific GPU indices (comma-separated)." +) @click.option("--exclusive/--no-exclusive", default=True, help="GPU exclusivity mode.") @click.option("--label", multiple=True, help="Labels (key=value).") @click.option("--env", "env_vars", multiple=True, help="Env vars (key=value).") # Venv support -@click.option("--venv", default=None, help="Path to pre-existing virtualenv (must be absolute).") +@click.option( + "--venv", default=None, help="Path to pre-existing virtualenv (must be absolute)." +) def submit( command, config, @@ -337,7 +366,9 @@ async def cancel_instance(): @cli.command() @click.argument("instance_id", type=str) @click.option("--tail", type=int, default=None, help="Get last N bytes only.") -@click.option("--follow", "-f", is_flag=True, help="Follow log output (poll for new content).") +@click.option( + "--follow", "-f", is_flag=True, help="Follow log output (poll for new content)." +) def logs(instance_id, tail, follow): """Get logs from an instance.""" import sys @@ -401,5 +432,176 @@ async def get_logs(): asyncio.run(get_logs()) +@cli.command() +@click.option("--instance-id", type=str, help="Instance ID to delete.") +@click.option("--name", type=str, help="Instance name to delete.") +@click.option("--all", "delete_all", is_flag=True, help="Delete all instances.") +@click.option( + "--status", + type=str, + help="Filter by status when using --all (e.g., COMPLETED, FAILED).", +) +@click.option("--yes", "-y", is_flag=True, help="Skip confirmation prompt.") +def delete(instance_id, name, delete_all, status, yes): + """Delete instance(s) by ID, name, or all instances. + + Examples: + + # Delete by ID + pylet delete --instance-id abc-123-def + + # Delete by name + pylet delete --name my-instance + + # Delete all completed instances + pylet delete --all --status COMPLETED + + # Delete all instances (use with caution!) + pylet delete --all --yes + """ + # Validation + exclusive_count = sum([bool(instance_id), bool(name), delete_all]) + if exclusive_count == 0: + click.echo( + "Error: Must specify one of --instance-id, --name, or --all", err=True + ) + raise SystemExit(1) + if exclusive_count > 1: + click.echo( + "Error: Can only specify one of --instance-id, --name, or --all", err=True + ) + raise SystemExit(1) + + if status and not delete_all: + click.echo("Error: --status can only be used with --all", err=True) + raise SystemExit(1) + + async def delete_instances(): + client = PyletClient() + try: + if delete_all: + # Confirm deletion + if not yes: + if status: + message = ( + f"Delete all instances with status '{status}'? [y/N]: " + ) + else: + message = "Delete ALL instances? This cannot be undone! [y/N]: " + + if not click.confirm(message, default=False): + click.echo("Deletion cancelled.") + return + + # Delete all + count = await client.delete_all_instances(status=status) + if status: + click.echo(f"Deleted {count} instances with status '{status}'") + else: + click.echo(f"Deleted {count} instances") + + elif instance_id: + # Delete by ID + if not yes and not click.confirm( + f"Delete instance {instance_id}? [y/N]: ", default=False + ): + click.echo("Deletion cancelled.") + return + + deleted = await client.delete_instance(instance_id) + if deleted: + click.echo(f"Instance {instance_id} deleted") + else: + click.echo(f"Instance {instance_id} not found", err=True) + + elif name: + # Delete by name + if not yes and not click.confirm( + f"Delete instance '{name}'? [y/N]: ", default=False + ): + click.echo("Deletion cancelled.") + return + + deleted = await client.delete_instance_by_name(name) + if deleted: + click.echo(f"Instance '{name}' deleted") + else: + click.echo(f"Instance '{name}' not found", err=True) + + except Exception as e: + click.echo(f"Error deleting instance: {e}", err=True) + finally: + await client.close() + + asyncio.run(delete_instances()) + + +@cli.command("delete-worker") +@click.option("--worker-id", type=str, help="Worker ID to delete.") +@click.option("--all-offline", is_flag=True, help="Delete all OFFLINE workers.") +@click.option("--yes", "-y", is_flag=True, help="Skip confirmation prompt.") +def delete_worker(worker_id, all_offline, yes): + """Delete worker(s). Only OFFLINE workers can be deleted. + + Examples: + + # Delete by worker ID + pylet delete-worker --worker-id worker-123 + + # Delete all offline workers + pylet delete-worker --all-offline + + # Delete without confirmation + pylet delete-worker --worker-id worker-123 --yes + """ + # Validation + if not worker_id and not all_offline: + click.echo("Error: Must specify either --worker-id or --all-offline", err=True) + raise SystemExit(1) + if worker_id and all_offline: + click.echo("Error: Cannot specify both --worker-id and --all-offline", err=True) + raise SystemExit(1) + + async def delete_workers(): + client = PyletClient() + try: + if all_offline: + # Confirm deletion + if not yes: + message = "Delete all OFFLINE workers? [y/N]: " + if not click.confirm(message, default=False): + click.echo("Deletion cancelled.") + return + + # Delete all offline + count = await client.delete_all_offline_workers() + click.echo(f"Deleted {count} OFFLINE workers") + + elif worker_id: + # Delete by ID + if not yes and not click.confirm( + f"Delete worker {worker_id}? [y/N]: ", default=False + ): + click.echo("Deletion cancelled.") + return + + try: + deleted = await client.delete_worker(worker_id) + if deleted: + click.echo(f"Worker {worker_id} deleted") + else: + click.echo(f"Worker {worker_id} not found", err=True) + except ValueError as e: + click.echo(f"Error: {e}", err=True) + raise SystemExit(1) + + except Exception as e: + click.echo(f"Error deleting worker: {e}", err=True) + finally: + await client.close() + + asyncio.run(delete_workers()) + + if __name__ == "__main__": cli() diff --git a/pylet/client.py b/pylet/client.py index 38baae0..c94afce 100644 --- a/pylet/client.py +++ b/pylet/client.py @@ -50,25 +50,35 @@ async def submit_instance( if venv is not None: submission_data["venv"] = venv - response = await self.client.post(f"{self.api_server_url}/instances", json=submission_data) + response = await self.client.post( + f"{self.api_server_url}/instances", json=submission_data + ) response.raise_for_status() - return response.json()["instance_id"] + + resp_data = response.json() + return resp_data["instance_id"] async def get_instance(self, instance_id: str) -> dict[str, Any]: """Get instance details by ID.""" - response = await self.client.get(f"{self.api_server_url}/instances/{instance_id}") + response = await self.client.get( + f"{self.api_server_url}/instances/{instance_id}" + ) response.raise_for_status() return response.json() async def get_instance_by_name(self, name: str) -> dict[str, Any]: """Get instance details by name.""" - response = await self.client.get(f"{self.api_server_url}/instances/by-name/{name}") + response = await self.client.get( + f"{self.api_server_url}/instances/by-name/{name}" + ) response.raise_for_status() return response.json() async def get_instance_result(self, instance_id: str) -> dict[str, Any]: """Get instance result.""" - response = await self.client.get(f"{self.api_server_url}/instances/{instance_id}/result") + response = await self.client.get( + f"{self.api_server_url}/instances/{instance_id}/result" + ) if response.status_code == 202: return {"status": "PENDING"} response.raise_for_status() @@ -76,22 +86,77 @@ async def get_instance_result(self, instance_id: str) -> dict[str, Any]: async def get_instance_endpoint(self, instance_id: str) -> str: """Get the endpoint (host:port) of an instance by ID.""" - response = await self.client.get(f"{self.api_server_url}/instances/{instance_id}/endpoint") + response = await self.client.get( + f"{self.api_server_url}/instances/{instance_id}/endpoint" + ) response.raise_for_status() return response.json()["endpoint"] async def get_instance_endpoint_by_name(self, name: str) -> str: """Get the endpoint (host:port) of an instance by name.""" - response = await self.client.get(f"{self.api_server_url}/instances/by-name/{name}/endpoint") + response = await self.client.get( + f"{self.api_server_url}/instances/by-name/{name}/endpoint" + ) response.raise_for_status() return response.json()["endpoint"] async def cancel_instance(self, instance_id: str) -> dict[str, Any]: """Request cancellation of an instance.""" - response = await self.client.post(f"{self.api_server_url}/instances/{instance_id}/cancel") + response = await self.client.post( + f"{self.api_server_url}/instances/{instance_id}/cancel" + ) response.raise_for_status() return response.json() + async def delete_instance(self, instance_id: str) -> bool: + """ + Delete an instance by ID. + + Returns True if deleted, False if not found. + """ + response = await self.client.delete( + f"{self.api_server_url}/instances/{instance_id}" + ) + if response.status_code == 404: + return False + response.raise_for_status() + return True + + async def delete_instance_by_name(self, name: str) -> bool: + """ + Delete an instance by name. + + Returns True if deleted, False if not found. + """ + response = await self.client.delete( + f"{self.api_server_url}/instances/by-name/{name}" + ) + if response.status_code == 404: + return False + response.raise_for_status() + return True + + async def delete_all_instances(self, status: Optional[str] = None) -> int: + """ + Delete all instances, optionally filtered by status. + + Args: + status: Only delete instances with this status. + + Returns: + Number of instances deleted. + """ + params = {} + if status: + params["status"] = status + + response = await self.client.delete( + f"{self.api_server_url}/instances", + params=params, + ) + response.raise_for_status() + return response.json()["deleted_count"] + async def get_logs( self, instance_id: str, @@ -125,7 +190,9 @@ async def get_logs( # Get worker info for host try: workers = await self.list_workers() - worker = next((w for w in workers if w["worker_id"] == worker_id), None) + worker = next( + (w for w in workers if w["worker_id"] == worker_id), None + ) if worker: worker_host = worker["host"] worker_url = ( @@ -177,6 +244,38 @@ async def get_worker(self, worker_id: str) -> dict[str, Any]: response.raise_for_status() return response.json() + async def delete_worker(self, worker_id: str) -> bool: + """ + Delete a worker by ID. + + Only allows deletion of OFFLINE workers. + + Returns True if deleted, False if not found. + Raises ValueError if worker is not OFFLINE. + """ + response = await self.client.delete( + f"{self.api_server_url}/workers/{worker_id}" + ) + if response.status_code == 404: + return False + if response.status_code == 400: + raise ValueError( + "Cannot delete ONLINE or SUSPECT workers. Only OFFLINE workers can be deleted." + ) + response.raise_for_status() + return True + + async def delete_all_offline_workers(self) -> int: + """ + Delete all workers with OFFLINE status. + + Returns: + Number of workers deleted. + """ + response = await self.client.delete(f"{self.api_server_url}/workers") + response.raise_for_status() + return response.json()["deleted_count"] + async def close(self): """Close the HTTP client.""" await self.client.aclose() diff --git a/pylet/config.py b/pylet/config.py index e043f6e..d5bca54 100644 --- a/pylet/config.py +++ b/pylet/config.py @@ -40,9 +40,8 @@ def _get_path(key: str, default: Path) -> Path: # ========== Worker Configuration ========== -# Port range for instance processes (exposed via PORT env var) -WORKER_PORT_MIN = _get_int("WORKER_PORT_MIN", 15600) -WORKER_PORT_MAX = _get_int("WORKER_PORT_MAX", 15700) +# Number of ports to allocate for instances (starting from worker HTTP port + 1) +WORKER_PORT_RANGE_SIZE = _get_int("WORKER_PORT_RANGE_SIZE", 100) # ========== Controller Configuration ========== diff --git a/pylet/config_file.py b/pylet/config_file.py index ac5f0c8..1ac38d8 100644 --- a/pylet/config_file.py +++ b/pylet/config_file.py @@ -242,11 +242,17 @@ def validate_config(config: dict) -> InstanceConfig: resources.exclusive = res["exclusive"] if "target_worker" in res: - _validate_type(res["target_worker"], str, "target_worker", "resources.target_worker") + _validate_type( + res["target_worker"], str, "target_worker", "resources.target_worker" + ) resources.target_worker = res["target_worker"] # Check for mutually exclusive fields - if resources.gpus is not None and resources.gpus > 0 and resources.gpu_indices is not None: + if ( + resources.gpus is not None + and resources.gpus > 0 + and resources.gpu_indices is not None + ): raise ConfigValidationError( "Mutually exclusive: cannot specify both 'gpus' and 'gpu_indices'. " "Use 'gpus' for automatic allocation or 'gpu_indices' for specific GPUs." diff --git a/pylet/controller.py b/pylet/controller.py index 3b5182c..28b1c72 100644 --- a/pylet/controller.py +++ b/pylet/controller.py @@ -64,6 +64,7 @@ async def register_worker( host: str, resources: ResourceSpec, boot_id: Optional[str] = None, + http_port: Optional[int] = None, ) -> str: """ Register a worker and return its token. @@ -84,6 +85,7 @@ async def register_worker( gpu_units=resources.gpu_units, memory_mb=resources.memory_mb, worker_token=token, + http_port=http_port, ) logger.info(f"Worker {worker_id} ({host}) reconnected") else: @@ -95,8 +97,11 @@ async def register_worker( gpu_units=resources.gpu_units, memory_mb=resources.memory_mb, worker_token=token, + http_port=http_port, + ) + logger.info( + f"Worker {worker_id} ({host}) registered with resources: {resources}" ) - logger.info(f"Worker {worker_id} ({host}) registered with resources: {resources}") # Initialize generation counter self.desired_gen[worker_id] = 0 @@ -112,6 +117,91 @@ async def get_all_workers(self) -> list[dict[str, Any]]: """Get all workers.""" return await self.db.get_all_workers() + async def delete_worker(self, worker_id: str) -> tuple[bool, Optional[str]]: + """ + Delete a worker by ID. + + Only allows deletion of OFFLINE workers. + + Returns: + Tuple of (success, error_message). + - (True, None) if deleted successfully + - (False, "not_found") if worker doesn't exist + - (False, "online") if worker is not OFFLINE + """ + async with self.lock: + worker = await self.db.get_worker(worker_id) + + if not worker: + return False, "not_found" + + if worker["status"] != "OFFLINE": + return False, "online" + + deleted = await self.db.delete_worker(worker_id) + if deleted: + logger.info(f"Worker {worker_id} deleted (was OFFLINE)") + # Clean up in-memory state + self.desired_gen.pop(worker_id, None) + self.gen_events.pop(worker_id, None) + return deleted, None + + async def unregister_worker(self, worker_id: str, worker_token: str) -> bool: + """ + Unregister a worker (graceful shutdown). + + Called by workers during graceful shutdown to immediately mark themselves offline. + This allows faster failover compared to waiting for heartbeat timeout. + + Args: + worker_id: The worker's ID + worker_token: The worker's authentication token + + Returns: + True if successfully unregistered, False otherwise. + """ + async with self.lock: + worker = await self.db.get_worker(worker_id) + + if not worker: + logger.warning(f"Unregister: Worker {worker_id} not found") + return False + + if worker["worker_token"] != worker_token: + logger.warning(f"Unregister: Invalid token for worker {worker_id}") + return False + + # Mark worker offline immediately + await self._mark_worker_offline(worker_id) + logger.info(f"Worker {worker_id} unregistered (graceful shutdown)") + + return True + + async def delete_all_offline_workers(self) -> int: + """ + Delete all workers with OFFLINE status. + + Returns: + Number of workers deleted. + """ + async with self.lock: + # Get list of offline workers before deletion (for cleanup) + offline_workers = [ + w for w in await self.db.get_all_workers() if w["status"] == "OFFLINE" + ] + + count = await self.db.delete_all_offline_workers() + + if count > 0: + logger.info(f"Deleted {count} OFFLINE workers") + # Clean up in-memory state for deleted workers + for worker in offline_workers: + worker_id = worker["id"] + self.desired_gen.pop(worker_id, None) + self.gen_events.pop(worker_id, None) + + return count + # ========== Heartbeat Protocol (Phase 3) ========== async def process_heartbeat( @@ -152,7 +242,9 @@ async def process_heartbeat( desired = await self._get_desired_instances(worker_id) return HeartbeatResponse(gen=gen, desired_instances=desired) - async def _wait_for_gen_change(self, worker_id: str, last_seen: int, timeout: float) -> int: + async def _wait_for_gen_change( + self, worker_id: str, last_seen: int, timeout: float + ) -> int: """Wait for generation to change or timeout.""" current = self.desired_gen.get(worker_id, 0) if current > last_seen: @@ -212,7 +304,9 @@ async def _get_desired_instances(self, worker_id: str) -> list[DesiredInstance]: # ========== Instance Report Processing (Phase 4: Fencing) ========== - async def _process_instance_report(self, worker_id: str, report: InstanceReport) -> None: + async def _process_instance_report( + self, worker_id: str, report: InstanceReport + ) -> None: """Process instance report with attempt fencing.""" instance = await self.db.get_instance(report.instance_id) @@ -300,13 +394,20 @@ async def _apply_instance_report( # Worker killed it without cancel request (e.g., rescheduled) # Mark as FAILED since it wasn't user-initiated success = await self.db.transition_to_terminal( - instance["id"], report.attempt, "FAILED", failure_reason="KILLED_BY_WORKER" + instance["id"], + report.attempt, + "FAILED", + failure_reason="KILLED_BY_WORKER", ) if success: - logger.info(f"Instance {instance['id']} -> FAILED (killed by worker)") + logger.info( + f"Instance {instance['id']} -> FAILED (killed by worker)" + ) self.poke_scheduler() - async def _handle_not_found(self, instance: dict[str, Any], report: InstanceReport) -> None: + async def _handle_not_found( + self, instance: dict[str, Any], report: InstanceReport + ) -> None: """Handle NOT_FOUND report - worker has no evidence of this attempt.""" current_status = instance["status"] @@ -347,18 +448,22 @@ async def submit_instance( # Venv support venv: Optional[str] = None, ) -> str: - """Submit a new instance for execution.""" + """ + Submit a new instance for execution. + + Returns: + The instance_id of the submitted instance. + """ async with self.lock: instance_id = str(uuid.uuid4()) - - # Auto-generate name if not provided - if name is None: - name = instance_id[:8] + instance_name = name if name is not None else instance_id[:8] # Check for duplicate names - existing = await self.db.get_instance_by_name(name) + existing = await self.db.get_instance_by_name(instance_name) if existing: - raise ValueError(f"An instance with name '{name}' already exists.") + raise ValueError( + f"An instance with name '{instance_name}' already exists." + ) # Determine effective GPU count effective_gpu_units = resource_requirements.gpu_units @@ -367,7 +472,7 @@ async def submit_instance( await self.db.insert_instance( instance_id=instance_id, - name=name, + name=instance_name, command=command, cpu_cores=resource_requirements.cpu_cores, gpu_units=effective_gpu_units, @@ -381,7 +486,7 @@ async def submit_instance( ) logger.info( - f"Instance {instance_id} ('{name}') submitted: " + f"Instance {instance_id} ('{instance_name}') submitted: " f"target_worker={target_worker}, gpu_indices={gpu_indices}, " f"exclusive={exclusive}, labels={labels}" ) @@ -439,7 +544,9 @@ async def request_cancellation(self, instance_id: str) -> bool: # For PENDING instances, cancel immediately (no worker involved) if current_status == "PENDING": - await self.db.transition_to_terminal(instance_id, instance["attempt"], "CANCELLED") + await self.db.transition_to_terminal( + instance_id, instance["attempt"], "CANCELLED" + ) logger.info(f"Instance {instance_id} cancelled (was PENDING)") self.poke_scheduler() return True @@ -460,6 +567,54 @@ async def request_cancellation(self, instance_id: str) -> bool: logger.warning(f"Could not cancel {instance_id} - not in cancellable state") return False + async def delete_instance(self, instance_id: str) -> bool: + """ + Delete an instance by ID. + + Returns True if deleted, False if not found. + """ + async with self.lock: + deleted = await self.db.delete_instance(instance_id) + if deleted: + logger.info(f"Instance {instance_id} deleted") + self.poke_scheduler() + return deleted + + async def delete_instance_by_name(self, name: str) -> bool: + """ + Delete an instance by name. + + Returns True if deleted, False if not found. + """ + async with self.lock: + deleted = await self.db.delete_instance_by_name(name) + if deleted: + logger.info(f"Instance with name '{name}' deleted") + self.poke_scheduler() + return deleted + + async def delete_all_instances(self, status_filter: Optional[str] = None) -> int: + """ + Delete all instances, optionally filtered by status. + + Args: + status_filter: If provided, only delete instances with this status. + + Returns: + Number of instances deleted. + """ + async with self.lock: + count = await self.db.delete_all_instances(status_filter) + if count > 0: + if status_filter: + logger.info( + f"Deleted {count} instances with status {status_filter}" + ) + else: + logger.info(f"Deleted all {count} instances") + self.poke_scheduler() + return count + # ========== Liveness Evaluation (Phase 2) ========== async def evaluate_liveness(self) -> None: @@ -483,7 +638,9 @@ async def _mark_worker_offline(self, worker_id: str) -> None: affected = await self.db.mark_instances_unknown(worker_id) if affected > 0: - logger.warning(f"Worker {worker_id} -> OFFLINE, {affected} instances -> UNKNOWN") + logger.warning( + f"Worker {worker_id} -> OFFLINE, {affected} instances -> UNKNOWN" + ) else: logger.info(f"Worker {worker_id} -> OFFLINE") @@ -533,7 +690,9 @@ async def _run_scheduling_cycle(self) -> None: # Only count EXCLUSIVE allocations for availability available: dict[str, dict[str, Any]] = {} for worker in workers: - used_gpus = await self.db.get_used_gpus_for_worker(worker["id"], exclusive_only=True) + used_gpus = await self.db.get_used_gpus_for_worker( + worker["id"], exclusive_only=True + ) total_gpus = worker["gpu_units"] or 0 available[worker["id"]] = { "total_gpus": total_gpus, @@ -583,7 +742,9 @@ async def _try_assign_instance( needed_gpus = instance.get("gpu_units") or 0 exclusive = instance.get("exclusive", True) target_worker = instance.get("target_worker") - requested_gpu_indices = self._parse_gpu_indices(instance.get("requested_gpu_indices")) + requested_gpu_indices = self._parse_gpu_indices( + instance.get("requested_gpu_indices") + ) # Case 1: Specific worker + specific GPUs if target_worker and requested_gpu_indices: @@ -598,7 +759,9 @@ async def _try_assign_instance( ) # Case 3: Any worker, auto-allocate GPUs - return await self._assign_any_worker(instance, needed_gpus, exclusive, available) + return await self._assign_any_worker( + instance, needed_gpus, exclusive, available + ) async def _assign_specific( self, @@ -775,7 +938,9 @@ async def update_worker_heartbeat(self, worker_id: str) -> None: raise ValueError("Worker not registered") await self.db.update_worker_heartbeat(worker_id) - async def set_instance_endpoint(self, instance_id: str, host: str, port: int) -> None: + async def set_instance_endpoint( + self, instance_id: str, host: str, port: int + ) -> None: """Set endpoint for an instance (legacy API).""" instance = await self.db.get_instance(instance_id) if not instance: @@ -802,7 +967,9 @@ async def report_instance_result( exit_code = 0 if success else 1 status = "COMPLETED" if success else "FAILED" - await self.db.transition_to_terminal(instance_id, instance["attempt"], status, exit_code) + await self.db.transition_to_terminal( + instance_id, instance["attempt"], status, exit_code + ) logger.info(f"Instance {instance_id} {status} by worker {worker_id}") self.poke_scheduler() @@ -815,7 +982,9 @@ async def update_instance_status( if not instance: raise ValueError(f"Instance {instance_id} does not exist.") if instance["assigned_worker"] != worker_id: - raise ValueError(f"Instance {instance_id} is not assigned to worker {worker_id}.") + raise ValueError( + f"Instance {instance_id} is not assigned to worker {worker_id}." + ) # Handle RUNNING status if status_update.get("status") == "RUNNING": diff --git a/pylet/db.py b/pylet/db.py index 60984f3..194b2ca 100644 --- a/pylet/db.py +++ b/pylet/db.py @@ -33,6 +33,7 @@ async def connect(self) -> None: await self._conn.execute("PRAGMA busy_timeout=5000") await self._create_tables() + await self._migrate_schema() await self._conn.commit() async def close(self) -> None: @@ -43,7 +44,8 @@ async def close(self) -> None: async def _create_tables(self) -> None: """Create database tables if they don't exist.""" - await self._conn.executescript(""" + await self._conn.executescript( + """ -- Workers table CREATE TABLE IF NOT EXISTS workers ( id TEXT PRIMARY KEY, @@ -57,7 +59,8 @@ async def _create_tables(self) -> None: memory_mb INTEGER, available_cpu REAL, available_gpu INTEGER, - available_memory INTEGER + available_memory INTEGER, + http_port INTEGER ); -- Worker GPU inventory (populated on registration) @@ -117,7 +120,17 @@ async def _create_tables(self) -> None: CREATE INDEX IF NOT EXISTS idx_instances_assigned_worker ON instances(assigned_worker); CREATE INDEX IF NOT EXISTS idx_allocations_worker ON instance_allocations(worker_id); CREATE INDEX IF NOT EXISTS idx_instances_labels ON instances(labels); - """) + """ + ) + + async def _migrate_schema(self) -> None: + """Apply schema migrations for existing databases.""" + # Check if http_port column exists in workers table + cursor = await self._conn.execute("PRAGMA table_info(workers)") + columns = {row[1] for row in await cursor.fetchall()} + + if "http_port" not in columns: + await self._conn.execute("ALTER TABLE workers ADD COLUMN http_port INTEGER") # Transaction context manager class Transaction: @@ -174,6 +187,7 @@ async def insert_worker( gpu_units: int, memory_mb: int, worker_token: str, + http_port: Optional[int] = None, ) -> None: """Insert a new worker and populate GPU inventory.""" async with self.transaction(): @@ -181,8 +195,8 @@ async def insert_worker( """ INSERT INTO workers (id, ip, status, last_heartbeat_at, worker_token, cpu_cores, gpu_units, memory_mb, - available_cpu, available_gpu, available_memory) - VALUES (?, ?, 'ONLINE', datetime('now'), ?, ?, ?, ?, ?, ?, ?) + available_cpu, available_gpu, available_memory, http_port) + VALUES (?, ?, 'ONLINE', datetime('now'), ?, ?, ?, ?, ?, ?, ?, ?) """, ( worker_id, @@ -194,6 +208,7 @@ async def insert_worker( cpu_cores, gpu_units, memory_mb, + http_port, ), ) # Populate GPU inventory @@ -211,6 +226,7 @@ async def update_worker_on_reconnect( gpu_units: int, memory_mb: int, worker_token: str, + http_port: Optional[int] = None, ) -> None: """Update worker on reconnect (new token, reset status).""" async with self.transaction(): @@ -219,7 +235,7 @@ async def update_worker_on_reconnect( UPDATE workers SET ip = ?, status = 'ONLINE', last_heartbeat_at = datetime('now'), worker_token = ?, cpu_cores = ?, gpu_units = ?, memory_mb = ?, - available_cpu = ?, available_gpu = ?, available_memory = ? + available_cpu = ?, available_gpu = ?, available_memory = ?, http_port = ? WHERE id = ? """, ( @@ -231,6 +247,7 @@ async def update_worker_on_reconnect( cpu_cores, gpu_units, memory_mb, + http_port, worker_id, ), ) @@ -257,7 +274,9 @@ async def get_online_workers(self) -> list[dict[str, Any]]: """Get all ONLINE workers.""" return await self.fetch_all("SELECT * FROM workers WHERE status = 'ONLINE'") - async def update_worker_heartbeat(self, worker_id: str, boot_id: Optional[str] = None) -> None: + async def update_worker_heartbeat( + self, worker_id: str, boot_id: Optional[str] = None + ) -> None: """Update worker heartbeat timestamp.""" async with self.transaction(): if boot_id: @@ -318,6 +337,54 @@ async def get_workers_exceeding_threshold( (threshold_seconds,), ) + async def delete_worker(self, worker_id: str) -> bool: + """ + Delete a worker by ID. + + Returns True if worker was deleted, False if not found. + Foreign key CASCADE will automatically delete GPU inventory. + """ + async with self.transaction(): + cursor = await self._conn.execute( + "DELETE FROM workers WHERE id = ?", + (worker_id,), + ) + return cursor.rowcount > 0 + + async def delete_all_offline_workers(self) -> int: + """ + Delete all workers with OFFLINE status. + + Returns: + Number of workers deleted. + """ + async with self.transaction(): + # First, clear assigned_worker for instances assigned to offline workers + # to avoid foreign key constraint violation + await self._conn.execute( + """ + UPDATE instances + SET assigned_worker = NULL + WHERE assigned_worker IN ( + SELECT id FROM workers WHERE status = 'OFFLINE' + ) + """ + ) + # Delete allocations for offline workers + await self._conn.execute( + """ + DELETE FROM instance_allocations + WHERE worker_id IN ( + SELECT id FROM workers WHERE status = 'OFFLINE' + ) + """ + ) + # Now delete the workers + cursor = await self._conn.execute( + "DELETE FROM workers WHERE status = 'OFFLINE'" + ) + return cursor.rowcount + # Instance methods async def insert_instance( self, @@ -363,7 +430,9 @@ async def insert_instance( async def get_instance(self, instance_id: str) -> Optional[dict[str, Any]]: """Get instance by ID.""" - return await self.fetch_one("SELECT * FROM instances WHERE id = ?", (instance_id,)) + return await self.fetch_one( + "SELECT * FROM instances WHERE id = ?", (instance_id,) + ) async def get_instance_by_name(self, name: str) -> Optional[dict[str, Any]]: """Get instance by name.""" @@ -616,7 +685,9 @@ async def get_used_gpus_for_worker( ) return [row["gpu_index"] for row in rows] - async def get_gpu_allocations_for_worker(self, worker_id: str) -> list[dict[str, Any]]: + async def get_gpu_allocations_for_worker( + self, worker_id: str + ) -> list[dict[str, Any]]: """ Get all active GPU allocations for a worker. @@ -650,7 +721,9 @@ async def get_gpu_allocations_for_worker(self, worker_id: str) -> list[dict[str, return result - async def get_gpu_indices_for_instance(self, instance_id: str, attempt: int) -> list[int]: + async def get_gpu_indices_for_instance( + self, instance_id: str, attempt: int + ) -> list[int]: """Get GPU indices allocated to a specific instance attempt.""" rows = await self.fetch_all( """ @@ -663,7 +736,9 @@ async def get_gpu_indices_for_instance(self, instance_id: str, attempt: int) -> ) return [row["gpu_index"] for row in rows] - async def get_desired_instances_for_worker(self, worker_id: str) -> list[dict[str, Any]]: + async def get_desired_instances_for_worker( + self, worker_id: str + ) -> list[dict[str, Any]]: """ Get instances that should be running on this worker. @@ -707,7 +782,9 @@ async def update_instance_running( return cursor.rowcount > 0 # Legacy API methods (no attempt fencing) - async def set_instance_endpoint(self, instance_id: str, endpoint: str, port: int) -> None: + async def set_instance_endpoint( + self, instance_id: str, endpoint: str, port: int + ) -> None: """Set endpoint for an instance (legacy API, no attempt check).""" async with self.transaction(): await self._conn.execute( @@ -732,3 +809,51 @@ async def update_instance_running_legacy( """, (port, endpoint, instance_id), ) + + async def delete_instance(self, instance_id: str) -> bool: + """ + Delete an instance by ID. + + Returns True if instance was deleted, False if not found. + Foreign key CASCADE will automatically delete allocations. + """ + async with self.transaction(): + cursor = await self._conn.execute( + "DELETE FROM instances WHERE id = ?", + (instance_id,), + ) + return cursor.rowcount > 0 + + async def delete_instance_by_name(self, name: str) -> bool: + """ + Delete an instance by name. + + Returns True if instance was deleted, False if not found. + """ + async with self.transaction(): + cursor = await self._conn.execute( + "DELETE FROM instances WHERE name = ?", + (name,), + ) + return cursor.rowcount > 0 + + async def delete_all_instances(self, status_filter: Optional[str] = None) -> int: + """ + Delete all instances, optionally filtered by status. + + Args: + status_filter: If provided, only delete instances with this status. + Common values: 'COMPLETED', 'FAILED', 'CANCELLED' + + Returns: + Number of instances deleted. + """ + async with self.transaction(): + if status_filter: + cursor = await self._conn.execute( + "DELETE FROM instances WHERE status = ?", + (status_filter,), + ) + else: + cursor = await self._conn.execute("DELETE FROM instances") + return cursor.rowcount diff --git a/pylet/logger.py b/pylet/logger.py index c91b5e4..14aa1d6 100644 --- a/pylet/logger.py +++ b/pylet/logger.py @@ -59,7 +59,9 @@ def configure_file_logging( else: log_path.parent.mkdir(parents=True, exist_ok=True) - _file_handler = RotatingFileHandler(str(log_path), maxBytes=max_bytes, backupCount=backup_count) + _file_handler = RotatingFileHandler( + str(log_path), maxBytes=max_bytes, backupCount=backup_count + ) _file_handler.setLevel(level) file_format = logging.Formatter( diff --git a/pylet/schemas.py b/pylet/schemas.py index 3730039..1d35d8c 100644 --- a/pylet/schemas.py +++ b/pylet/schemas.py @@ -69,7 +69,11 @@ def validate_transition(current: InstanceStatus, new: InstanceStatus) -> bool: def is_terminal(status: InstanceStatus) -> bool: """Check if a status is terminal (no further transitions).""" - return status in {InstanceStatus.COMPLETED, InstanceStatus.FAILED, InstanceStatus.CANCELLED} + return status in { + InstanceStatus.COMPLETED, + InstanceStatus.FAILED, + InstanceStatus.CANCELLED, + } def is_active(status: InstanceStatus) -> bool: @@ -109,7 +113,9 @@ class Instance(BaseModel): labels: dict[str, str] = Field(default_factory=dict) env: dict[str, str] = Field(default_factory=dict) # Venv support - venv: Optional[str] = None # Path to pre-existing virtualenv (must be absolute path) + venv: Optional[str] = ( + None # Path to pre-existing virtualenv (must be absolute path) + ) def get_display_status( @@ -152,7 +158,9 @@ class InstanceSubmissionRequest(BaseModel): labels: dict[str, str] = Field(default_factory=dict) # Custom metadata env: dict[str, str] = Field(default_factory=dict) # Environment variables # Venv support - venv: Optional[str] = None # Path to pre-existing virtualenv (must be absolute path) + venv: Optional[str] = ( + None # Path to pre-existing virtualenv (must be absolute path) + ) class WorkerRegistrationRequest(BaseModel): @@ -162,6 +170,7 @@ class WorkerRegistrationRequest(BaseModel): host: str resources: ResourceSpec boot_id: Optional[str] = None + http_port: Optional[int] = None # Worker HTTP server port for log retrieval class WorkerRegistrationResponse(BaseModel): diff --git a/pylet/server.py b/pylet/server.py index 2b9cc9c..159410b 100644 --- a/pylet/server.py +++ b/pylet/server.py @@ -48,7 +48,9 @@ class InstanceSubmissionRequest(BaseModel): labels: dict[str, str] = Field(default_factory=dict) env: dict[str, str] = Field(default_factory=dict) # Venv support - venv: Optional[str] = None # Path to pre-existing virtualenv (must be absolute path) + venv: Optional[str] = ( + None # Path to pre-existing virtualenv (must be absolute path) + ) class WorkerRegistrationRequest(BaseModel): @@ -56,6 +58,7 @@ class WorkerRegistrationRequest(BaseModel): host: str resources: ResourceSpec boot_id: Optional[str] = None + http_port: Optional[int] = None # Worker HTTP server port for log retrieval controller = Controller() @@ -254,6 +257,7 @@ async def submit_instance(request: InstanceSubmissionRequest): env=request.env, venv=request.venv, ) + logger.info( f"Client submitted instance {instance_id} ('{request.name}') " f"target_worker={request.target_worker}, " @@ -285,7 +289,9 @@ async def get_instance_by_name(instance_name: str): """Get instance details by name.""" instance = await controller.get_instance_by_name(instance_name) if not instance: - logger.warning(f"Client requested non-existent instance with name '{instance_name}'.") + logger.warning( + f"Client requested non-existent instance with name '{instance_name}'." + ) raise HTTPException(status_code=404, detail="Instance not found") return await _build_instance_response(instance) @@ -298,7 +304,9 @@ async def get_instance_endpoint_by_name(instance_name: str): if not instance: raise HTTPException(status_code=404, detail="Instance not found") if not instance["endpoint"]: - raise HTTPException(status_code=404, detail="Instance endpoint not available yet") + raise HTTPException( + status_code=404, detail="Instance endpoint not available yet" + ) return {"endpoint": instance["endpoint"]} @@ -309,7 +317,9 @@ async def get_instance_endpoint(instance_id: str): if not instance: raise HTTPException(status_code=404, detail="Instance not found") if not instance["endpoint"]: - raise HTTPException(status_code=404, detail="Instance endpoint not available yet") + raise HTTPException( + status_code=404, detail="Instance endpoint not available yet" + ) return {"endpoint": instance["endpoint"]} @@ -391,7 +401,9 @@ async def get_instance_logs( # Get worker info worker_id = instance.get("assigned_worker") if not worker_id: - raise HTTPException(status_code=404, detail="Instance not assigned to any worker") + raise HTTPException( + status_code=404, detail="Instance not assigned to any worker" + ) worker = await controller.get_worker(worker_id) if not worker: @@ -402,11 +414,10 @@ async def get_instance_logs( # Proxy to worker HTTP server worker_host = worker["ip"] - worker_port = config.WORKER_HTTP_PORT + # Use worker's registered http_port, fall back to config default if not set + worker_port = worker.get("http_port") or config.WORKER_HTTP_PORT - worker_url = ( - f"http://{worker_host}:{worker_port}/logs/{instance_id}?offset={offset}&limit={limit}" - ) + worker_url = f"http://{worker_host}:{worker_port}/logs/{instance_id}?offset={offset}&limit={limit}" try: async with httpx.AsyncClient(timeout=30.0) as client: @@ -422,6 +433,47 @@ async def get_instance_logs( raise HTTPException(status_code=503, detail="Worker request failed") +@app.delete("/instances/{instance_id}") +async def delete_instance(instance_id: str): + """ + Delete an instance by ID. + + Returns 204 No Content on success, 404 if not found. + """ + deleted = await controller.delete_instance(instance_id) + if not deleted: + raise HTTPException(status_code=404, detail="Instance not found") + return JSONResponse(status_code=204, content=None) + + +@app.delete("/instances/by-name/{instance_name}") +async def delete_instance_by_name(instance_name: str): + """ + Delete an instance by name. + + Returns 204 No Content on success, 404 if not found. + """ + deleted = await controller.delete_instance_by_name(instance_name) + if not deleted: + raise HTTPException(status_code=404, detail="Instance not found") + return JSONResponse(status_code=204, content=None) + + +@app.delete("/instances") +async def delete_all_instances(status: Optional[str] = None): + """ + Delete all instances, optionally filtered by status. + + Query params: + - status: Only delete instances with this status (e.g., "COMPLETED", "FAILED", "CANCELLED") + + Returns: + - count: Number of instances deleted + """ + count = await controller.delete_all_instances(status) + return {"deleted_count": count} + + # ========== Worker Endpoints ========== @@ -434,6 +486,7 @@ async def register_worker(request: WorkerRegistrationRequest): host=request.host, resources=request.resources, boot_id=request.boot_id, + http_port=request.http_port, ) logger.info(f"Worker {request.worker_id} ({request.host}) registered via API.") return WorkerRegistrationResponse(worker_token=token) @@ -445,7 +498,9 @@ async def register_worker(request: WorkerRegistrationRequest): async def _build_worker_response(w: dict) -> dict: """Build worker response with available_gpu_indices.""" total_gpus = w["gpu_units"] or 0 - used_gpus = await controller.db.get_used_gpus_for_worker(w["id"], exclusive_only=True) + used_gpus = await controller.db.get_used_gpus_for_worker( + w["id"], exclusive_only=True + ) all_gpus = set(range(total_gpus)) available_gpu_indices = sorted(all_gpus - set(used_gpus)) @@ -503,4 +558,71 @@ async def worker_heartbeat(worker_id: str, request: Optional[HeartbeatRequest] = ) except ValueError as e: logger.warning(f"Heartbeat error for worker {worker_id}: {e}") - raise HTTPException(status_code=401 if "token" in str(e).lower() else 404, detail=str(e)) + raise HTTPException( + status_code=401 if "token" in str(e).lower() else 404, detail=str(e) + ) + + +class WorkerUnregisterRequest(BaseModel): + worker_token: str + + +@app.post("/workers/{worker_id}/unregister") +async def unregister_worker(worker_id: str, request: WorkerUnregisterRequest): + """ + Unregister a worker (graceful shutdown). + + Called by workers during graceful shutdown to immediately mark themselves offline. + This allows faster failover compared to waiting for heartbeat timeout. + + Returns: + - 200 OK on success + - 401 Unauthorized if token is invalid + - 404 Not Found if worker doesn't exist + """ + success = await controller.unregister_worker(worker_id, request.worker_token) + if success: + logger.info(f"Worker {worker_id} unregistered via API (graceful shutdown)") + return {"status": "unregistered", "worker_id": worker_id} + else: + raise HTTPException( + status_code=401, detail="Invalid worker token or worker not found" + ) + + +@app.delete("/workers/{worker_id}") +async def delete_worker(worker_id: str): + """ + Delete a worker by ID. + + Only allows deletion of OFFLINE workers. + + Returns: + - 204 No Content on success + - 404 Not Found if worker doesn't exist + - 400 Bad Request if worker is not OFFLINE + """ + deleted, error = await controller.delete_worker(worker_id) + + if not deleted: + if error == "not_found": + raise HTTPException(status_code=404, detail="Worker not found") + elif error == "online": + raise HTTPException( + status_code=400, + detail="Cannot delete ONLINE or SUSPECT workers. Only OFFLINE workers can be deleted.", + ) + + return JSONResponse(status_code=204, content=None) + + +@app.delete("/workers") +async def delete_all_offline_workers(): + """ + Delete all workers with OFFLINE status. + + Returns: + - deleted_count: Number of workers deleted + """ + count = await controller.delete_all_offline_workers() + return {"deleted_count": count} diff --git a/pylet/worker.py b/pylet/worker.py index a995ee4..fba0d4a 100644 --- a/pylet/worker.py +++ b/pylet/worker.py @@ -24,7 +24,12 @@ from pylet import config, worker_http from pylet.logger import logger -from pylet.schemas import DesiredInstance, HeartbeatRequest, HeartbeatResponse, InstanceReport +from pylet.schemas import ( + DesiredInstance, + HeartbeatRequest, + HeartbeatResponse, + InstanceReport, +) @dataclass @@ -149,6 +154,7 @@ def __init__( cpu_cores: int = 4, gpu_units: int = 0, memory_mb: int = 4096, + http_port: Optional[int] = None, ): self.worker_id = str(uuid.uuid4()) self.head_address = head_address @@ -165,6 +171,9 @@ def __init__( "memory_mb": memory_mb, } + # HTTP server port (for log retrieval, etc.) + self.http_port = http_port if http_port is not None else config.WORKER_HTTP_PORT + # State self.worker_token: Optional[str] = None self.boot_id = str(uuid.uuid4()) @@ -176,8 +185,10 @@ def __init__( # Last desired state from controller (used to infer NOT_FOUND) self.last_desired: list[DesiredInstance] = [] - # Port allocation - self.port_range = (config.WORKER_PORT_MIN, config.WORKER_PORT_MAX) + # Port allocation: instance ports start from http_port + 1 + port_min = self.http_port + 1 + port_max = self.http_port + config.WORKER_PORT_RANGE_SIZE + self.port_range = (port_min, port_max) self.used_ports: set[int] = set() # State persistence @@ -187,6 +198,10 @@ def __init__( self.inflight_heartbeat: Optional[asyncio.Task] = None self.heartbeat_event = asyncio.Event() + # Shutdown control + self.shutdown_event = asyncio.Event() + self.client: Optional[httpx.AsyncClient] = None + async def run(self) -> None: """Main worker loop.""" # Clean slate on startup @@ -195,6 +210,11 @@ async def run(self) -> None: # Ensure log directory exists config.LOG_DIR.mkdir(parents=True, exist_ok=True) + # Set up signal handlers for graceful shutdown + loop = asyncio.get_running_loop() + for sig in (signal.SIGINT, signal.SIGTERM): + loop.add_signal_handler(sig, self._handle_shutdown_signal) + async with httpx.AsyncClient(timeout=60.0) as client: self.client = client @@ -206,15 +226,105 @@ async def run(self) -> None: heartbeat_task = asyncio.create_task(self._heartbeat_loop()) monitor_task = asyncio.create_task(self._monitor_processes()) http_task = asyncio.create_task(self._run_http_server()) + shutdown_task = asyncio.create_task(self._wait_for_shutdown()) try: - await asyncio.gather(heartbeat_task, monitor_task, http_task) + # Wait for any task to complete (shutdown_task will complete on signal) + done, _pending = await asyncio.wait( + [heartbeat_task, monitor_task, http_task, shutdown_task], + return_when=asyncio.FIRST_COMPLETED, + ) + + # If shutdown was triggered, perform graceful shutdown + if shutdown_task in done: + logger.info( + "Shutdown signal received, performing graceful shutdown..." + ) + await self._graceful_shutdown() + except asyncio.CancelledError: pass finally: - heartbeat_task.cancel() - monitor_task.cancel() - http_task.cancel() + # Cancel all background tasks + for task in [heartbeat_task, monitor_task, http_task, shutdown_task]: + if not task.done(): + task.cancel() + try: + await task + except asyncio.CancelledError: + pass + + # Remove signal handlers + for sig in (signal.SIGINT, signal.SIGTERM): + loop.remove_signal_handler(sig) + + def _handle_shutdown_signal(self) -> None: + """Handle shutdown signal (SIGINT/SIGTERM).""" + logger.info("Received shutdown signal") + self.shutdown_event.set() + + async def _wait_for_shutdown(self) -> None: + """Wait for shutdown signal.""" + await self.shutdown_event.wait() + + async def _graceful_shutdown(self) -> None: + """Perform graceful shutdown: stop instances, notify head node, and clean up.""" + # First, stop all running instances + logger.info("Stopping all running instances...") + for key, proc in list(self.local_instances.items()): + if proc.status == "RUNNING": + logger.info(f"Sending SIGTERM to instance {key}") + send_sigterm(proc.pgid) + proc.stop_deadline = time.time() + config.DEFAULT_GRACE_PERIOD_SECONDS + + # Wait for instances to stop (with timeout) + shutdown_deadline = time.time() + config.DEFAULT_GRACE_PERIOD_SECONDS + while time.time() < shutdown_deadline: + all_stopped = True + for key, proc in list(self.local_instances.items()): + if proc.status == "RUNNING" and proc.process: + ret = proc.process.returncode + if ret is not None: + logger.info( + f"Instance {key} stopped gracefully, exit_code={ret}" + ) + else: + all_stopped = False + if all_stopped: + break + await asyncio.sleep(0.1) + + # Force kill any remaining instances + for key, proc in list(self.local_instances.items()): + if ( + proc.status == "RUNNING" + and proc.process + and proc.process.returncode is None + ): + logger.warning(f"Force killing instance {key}") + send_sigkill(proc.pgid) + + # Notify head node that we're shutting down + if not self.client or not self.worker_token: + logger.warning("Cannot notify head node: client or token not available") + return + + try: + response = await self.client.post( + f"{self.api_server_url}/workers/{self.worker_id}/unregister", + json={"worker_token": self.worker_token}, + timeout=5.0, # Short timeout for shutdown + ) + if response.status_code == 200: + logger.info("Successfully notified head node of shutdown") + else: + logger.warning( + f"Failed to notify head node of shutdown: {response.status_code}" + ) + except Exception as e: + logger.warning(f"Error notifying head node of shutdown: {e}") + finally: + raise asyncio.CancelledError() async def _startup_cleanup(self) -> None: """Clean slate on worker start - kill orphaned processes.""" @@ -239,6 +349,7 @@ async def _register(self) -> bool: "host": self.host, "resources": self.total_resources, "boot_id": self.boot_id, + "http_port": self.http_port, }, ) response.raise_for_status() @@ -268,7 +379,7 @@ async def _heartbeat_loop(self) -> None: When local state changes, the in-flight heartbeat is cancelled and a new one is issued immediately with updated state. """ - while True: + while not self.shutdown_event.is_set(): self.inflight_heartbeat = asyncio.create_task(self._do_heartbeat()) try: response = await self.inflight_heartbeat @@ -277,6 +388,9 @@ async def _heartbeat_loop(self) -> None: self.last_desired = response.desired_instances await self._reconcile(response.desired_instances) except asyncio.CancelledError: + # Check if this is due to shutdown or just state change reissue + if self.shutdown_event.is_set(): + raise # Re-raise to exit the loop # Local state changed, reissue immediately continue except Exception as e: @@ -360,7 +474,9 @@ async def _reconcile(self, desired: list[DesiredInstance]) -> None: logger.info(f"Starting graceful stop for instance: {key}") send_sigterm(proc.pgid) proc.status = "STOPPING" - proc.stop_deadline = time.time() + config.DEFAULT_GRACE_PERIOD_SECONDS + proc.stop_deadline = ( + time.time() + config.DEFAULT_GRACE_PERIOD_SECONDS + ) # Don't trigger heartbeat yet - monitor will handle status transition continue @@ -391,7 +507,7 @@ async def _reconcile(self, desired: list[DesiredInstance]) -> None: async def _run_http_server(self) -> None: """Run the worker HTTP server for log retrieval.""" try: - await worker_http.run_server() + await worker_http.run_server(port=self.http_port) except asyncio.CancelledError: pass except Exception as e: @@ -488,7 +604,7 @@ async def _start_instance(self, inst: DesiredInstance) -> None: async def _monitor_processes(self) -> None: """Background task to monitor process exits and handle graceful stops.""" - while True: + while not self.shutdown_event.is_set(): for key, proc in list(self.local_instances.items()): if proc.status == "STOPPING" and proc.process: # Check if process exited during grace period @@ -497,11 +613,15 @@ async def _monitor_processes(self) -> None: # Process exited gracefully proc.exit_code = ret proc.status = "CANCELLED" - logger.info(f"Instance {key} stopped gracefully, exit_code={ret}") + logger.info( + f"Instance {key} stopped gracefully, exit_code={ret}" + ) self._trigger_heartbeat() elif proc.stop_deadline and time.time() > proc.stop_deadline: # Grace period expired, force kill - logger.warning(f"Instance {key} grace period expired, sending SIGKILL") + logger.warning( + f"Instance {key} grace period expired, sending SIGKILL" + ) send_sigkill(proc.pgid) proc.exit_code = -9 # Indicate killed by SIGKILL proc.status = "CANCELLED" diff --git a/pyproject.toml b/pyproject.toml index d350b9e..ec392de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,6 +65,16 @@ python_files = ["test_*.py"] python_classes = ["Test*"] python_functions = ["test_*"] +[dependency-groups] +dev = [ + "black>=25.11.0", + "pytest>=8.4.2", + "pytest-asyncio>=1.2.0", + "ruff>=0.14.11", + "mypy>=1.14.0", + "pre-commit>=4.0.0", +] + [tool.ruff] target-version = "py39" line-length = 100 @@ -119,4 +129,4 @@ disallow_untyped_defs = true # db.py uses Optional[Connection] but methods assume connect() was called [[tool.mypy.overrides]] module = "pylet.db" -disable_error_code = ["union-attr"] \ No newline at end of file +disable_error_code = ["union-attr"] diff --git a/tests/test_advanced_gpu_features.py b/tests/test_advanced_gpu_features.py index 02d8af3..23851b4 100644 --- a/tests/test_advanced_gpu_features.py +++ b/tests/test_advanced_gpu_features.py @@ -254,7 +254,9 @@ class TestPhase1AssignInstanceWithExclusive: @pytest.mark.asyncio async def test_assign_instance_stores_exclusive_true(self, db_with_worker): """Test that assign_instance stores exclusive=True in allocations.""" - await db_with_worker.insert_instance("inst-1", "name-1", "cmd", 1, 2, 512, exclusive=True) + await db_with_worker.insert_instance( + "inst-1", "name-1", "cmd", 1, 2, 512, exclusive=True + ) success = await db_with_worker.assign_instance( instance_id="inst-1", @@ -274,7 +276,13 @@ async def test_assign_instance_stores_exclusive_true(self, db_with_worker): async def test_assign_instance_stores_exclusive_false(self, db_with_worker): """Test that assign_instance stores exclusive=False in allocations.""" await db_with_worker.insert_instance( - "inst-store", "storage-daemon", "storage-daemon start", 1, 4, 512, exclusive=False + "inst-store", + "storage-daemon", + "storage-daemon start", + 1, + 4, + 512, + exclusive=False, ) success = await db_with_worker.assign_instance( @@ -311,11 +319,15 @@ async def test_get_used_gpus_exclusive_only_true(self, db_with_worker): await db_with_worker.insert_instance( "inst-vllm", "vllm", "vllm serve", 1, 2, 512, exclusive=True ) - await db_with_worker.assign_instance("inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True) + await db_with_worker.assign_instance( + "inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True + ) await db_with_worker.update_instance_status("inst-vllm", "RUNNING") # exclusive_only=True should only return [0, 1] - used = await db_with_worker.get_used_gpus_for_worker("gpu-worker-0", exclusive_only=True) + used = await db_with_worker.get_used_gpus_for_worker( + "gpu-worker-0", exclusive_only=True + ) assert set(used) == {0, 1} @pytest.mark.asyncio @@ -334,11 +346,15 @@ async def test_get_used_gpus_exclusive_only_false(self, db_with_worker): await db_with_worker.insert_instance( "inst-vllm", "vllm", "vllm serve", 1, 2, 512, exclusive=True ) - await db_with_worker.assign_instance("inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True) + await db_with_worker.assign_instance( + "inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True + ) await db_with_worker.update_instance_status("inst-vllm", "RUNNING") # exclusive_only=False should return all GPUs [0,1,2,3] - used = await db_with_worker.get_used_gpus_for_worker("gpu-worker-0", exclusive_only=False) + used = await db_with_worker.get_used_gpus_for_worker( + "gpu-worker-0", exclusive_only=False + ) assert set(used) == {0, 1, 2, 3} @@ -358,7 +374,9 @@ def test_instance_submission_request_has_gpu_indices(self): """Test InstanceSubmissionRequest has gpu_indices field.""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), gpu_indices=[0, 1], ) assert request.gpu_indices == [0, 1] @@ -367,13 +385,17 @@ def test_instance_submission_request_has_exclusive(self): """Test InstanceSubmissionRequest has exclusive field with default True.""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), ) assert request.exclusive is True request_non_exclusive = InstanceSubmissionRequest( command="storage-daemon", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=4, memory_mb=8000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=4, memory_mb=8000 + ), exclusive=False, ) assert request_non_exclusive.exclusive is False @@ -382,7 +404,9 @@ def test_instance_submission_request_has_labels(self): """Test InstanceSubmissionRequest has labels field.""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), labels={"model_id": "llama2", "type": "inference"}, ) assert request.labels == {"model_id": "llama2", "type": "inference"} @@ -391,7 +415,9 @@ def test_instance_submission_request_has_env(self): """Test InstanceSubmissionRequest has env field.""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), env={"HF_TOKEN": "xxx", "STORAGE_PATH": "/models"}, ) assert request.env == {"HF_TOKEN": "xxx", "STORAGE_PATH": "/models"} @@ -413,7 +439,9 @@ def test_instance_model_has_gpu_indices(self): instance = Instance( instance_id="inst-1", command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), gpu_indices=[0, 1], ) assert instance.gpu_indices == [0, 1] @@ -423,7 +451,9 @@ def test_instance_model_has_exclusive(self): instance = Instance( instance_id="inst-1", command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), exclusive=False, ) assert instance.exclusive is False @@ -433,7 +463,9 @@ def test_instance_model_has_labels(self): instance = Instance( instance_id="inst-1", command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), labels={"model_id": "llama2"}, ) assert instance.labels == {"model_id": "llama2"} @@ -443,7 +475,9 @@ def test_instance_model_has_target_worker(self): instance = Instance( instance_id="inst-1", command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), target_worker="gpu-worker-0", ) assert instance.target_worker == "gpu-worker-0" @@ -463,7 +497,9 @@ def test_gpu_indices_requires_target_worker(self): # (handled by server/controller, not Pydantic) request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), gpu_indices=[0, 1], target_worker=None, # Missing! ) @@ -476,7 +512,9 @@ def test_gpu_indices_must_be_unique(self): """Test that gpu_indices must be unique (validation rule).""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), gpu_indices=[0, 0, 1], # Duplicate! target_worker="gpu-worker-0", ) @@ -487,7 +525,9 @@ def test_gpu_indices_must_be_non_negative(self): """Test that gpu_indices must be non-negative (validation rule).""" request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), gpu_indices=[-1, 0], # Negative! target_worker="gpu-worker-0", ) @@ -499,7 +539,9 @@ def test_label_key_max_length(self): long_key = "a" * 64 request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), labels={long_key: "value"}, ) # Model allows this, validation should reject @@ -510,7 +552,9 @@ def test_label_value_max_length(self): long_value = "v" * 256 request = InstanceSubmissionRequest( command="vllm serve", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16000), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16000 + ), labels={"key": long_value}, ) # Model allows this, validation should reject @@ -595,7 +639,9 @@ async def test_nonexclusive_overlapping_exclusive_allowed(self, db_with_worker): await db_with_worker.insert_instance( "inst-vllm", "vllm", "vllm serve", 1, 2, 512, exclusive=True ) - await db_with_worker.assign_instance("inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True) + await db_with_worker.assign_instance( + "inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True + ) await db_with_worker.update_instance_status("inst-vllm", "RUNNING") # Then: non-exclusive storage daemon on all GPUs - should be allowed @@ -652,7 +698,9 @@ async def test_exclusive_count_never_exceeds_total(self, db_with_worker): await db_with_worker.update_instance_status(f"inst-{i}", "RUNNING") # All 4 GPUs should be exclusively used - used = await db_with_worker.get_used_gpus_for_worker("gpu-worker-0", exclusive_only=True) + used = await db_with_worker.get_used_gpus_for_worker( + "gpu-worker-0", exclusive_only=True + ) assert len(used) == 4 # Trying to allocate another exclusive should fail (no free GPUs) @@ -744,8 +792,12 @@ class TestPhase4InstanceResponseFields: @pytest.mark.asyncio async def test_instance_response_includes_gpu_indices(self, db_with_worker): """Test that instance response includes allocated gpu_indices.""" - await db_with_worker.insert_instance("inst-1", "name-1", "cmd", 1, 2, 512, exclusive=True) - await db_with_worker.assign_instance("inst-1", "gpu-worker-0", 1, [2, 3], exclusive=True) + await db_with_worker.insert_instance( + "inst-1", "name-1", "cmd", 1, 2, 512, exclusive=True + ) + await db_with_worker.assign_instance( + "inst-1", "gpu-worker-0", 1, [2, 3], exclusive=True + ) allocations = await db_with_worker.get_instance_allocations("inst-1", 1) gpu_indices = sorted([a["gpu_index"] for a in allocations]) @@ -754,7 +806,9 @@ async def test_instance_response_includes_gpu_indices(self, db_with_worker): @pytest.mark.asyncio async def test_instance_response_includes_exclusive(self, db_with_worker): """Test that instance response includes exclusive flag.""" - await db_with_worker.insert_instance("inst-1", "name-1", "cmd", 1, 2, 512, exclusive=False) + await db_with_worker.insert_instance( + "inst-1", "name-1", "cmd", 1, 2, 512, exclusive=False + ) instance = await db_with_worker.get_instance("inst-1") assert not instance["exclusive"] @@ -763,7 +817,9 @@ async def test_instance_response_includes_exclusive(self, db_with_worker): async def test_instance_response_includes_labels(self, db_with_worker): """Test that instance response includes labels.""" labels = {"model_id": "llama2", "type": "inference"} - await db_with_worker.insert_instance("inst-1", "name-1", "cmd", 1, 2, 512, labels=labels) + await db_with_worker.insert_instance( + "inst-1", "name-1", "cmd", 1, 2, 512, labels=labels + ) instance = await db_with_worker.get_instance("inst-1") stored_labels = json.loads(instance["labels"]) @@ -789,7 +845,9 @@ async def test_instance_response_includes_target_worker(self, db_with_worker): async def test_instance_response_includes_env(self, db_with_worker): """Test that instance response includes env.""" env = {"HF_TOKEN": "xxx", "PATH": "/custom"} - await db_with_worker.insert_instance("inst-1", "name-1", "cmd", 1, 2, 512, env=env) + await db_with_worker.insert_instance( + "inst-1", "name-1", "cmd", 1, 2, 512, env=env + ) instance = await db_with_worker.get_instance("inst-1") stored_env = json.loads(instance["env"]) @@ -830,7 +888,9 @@ async def test_get_gpu_allocations_for_worker(self, db_with_worker): await db_with_worker.update_instance_status("inst-vllm-b", "RUNNING") # Get GPU allocations - allocations = await db_with_worker.get_gpu_allocations_for_worker("gpu-worker-0") + allocations = await db_with_worker.get_gpu_allocations_for_worker( + "gpu-worker-0" + ) assert len(allocations) == 3 alloc_by_id = {a["instance_id"]: a for a in allocations} @@ -851,7 +911,9 @@ async def test_available_gpu_indices(self, db_with_worker): await db_with_worker.insert_instance( "inst-vllm", "vllm", "vllm serve", 1, 2, 512, exclusive=True ) - await db_with_worker.assign_instance("inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True) + await db_with_worker.assign_instance( + "inst-vllm", "gpu-worker-0", 1, [0, 1], exclusive=True + ) await db_with_worker.update_instance_status("inst-vllm", "RUNNING") # Get exclusively used GPUs @@ -966,7 +1028,9 @@ async def test_filter_instances_by_status_and_label(self, db_with_worker): 512, labels={"type": "inference"}, ) - await db_with_worker.assign_instance("inst-running", "gpu-worker-0", 1, [0], exclusive=True) + await db_with_worker.assign_instance( + "inst-running", "gpu-worker-0", 1, [0], exclusive=True + ) await db_with_worker.update_instance_status("inst-running", "RUNNING") await db_with_worker.insert_instance( @@ -1062,8 +1126,12 @@ async def test_desired_instances_include_env(self, db_with_worker): """Test that get_desired_instances_for_worker includes env.""" env = {"HF_TOKEN": "xxx", "MODEL_PATH": "/models/llama"} - await db_with_worker.insert_instance("inst-1", "name", "cmd", 1, 1, 512, env=env) - await db_with_worker.assign_instance("inst-1", "gpu-worker-0", 1, [0], exclusive=True) + await db_with_worker.insert_instance( + "inst-1", "name", "cmd", 1, 1, 512, env=env + ) + await db_with_worker.assign_instance( + "inst-1", "gpu-worker-0", 1, [0], exclusive=True + ) desired = await db_with_worker.get_desired_instances_for_worker("gpu-worker-0") assert len(desired) == 1 @@ -1270,7 +1338,9 @@ async def test_exclusive_overlap_blocked(self, db_with_worker): await db_with_worker.insert_instance( "vllm-a", "vllm-a", "vllm serve", 1, 2, 512, exclusive=True ) - await db_with_worker.assign_instance("vllm-a", "gpu-worker-0", 1, [0, 1], exclusive=True) + await db_with_worker.assign_instance( + "vllm-a", "gpu-worker-0", 1, [0, 1], exclusive=True + ) await db_with_worker.update_instance_status("vllm-a", "RUNNING") # Try to deploy another exclusive on [0, 1] @@ -1287,7 +1357,9 @@ async def test_exclusive_overlap_blocked(self, db_with_worker): ) # Check that [0, 1] are exclusively used - used = await db_with_worker.get_used_gpus_for_worker("gpu-worker-0", exclusive_only=True) + used = await db_with_worker.get_used_gpus_for_worker( + "gpu-worker-0", exclusive_only=True + ) assert set(used) == {0, 1} # In scheduler, this would mean vllm-b stays PENDING diff --git a/tests/test_async_api.py b/tests/test_async_api.py index c7aa760..a735842 100644 --- a/tests/test_async_api.py +++ b/tests/test_async_api.py @@ -42,7 +42,9 @@ async def test_init_connection_error(self): with patch("pylet.aio._init_state_async", new_callable=AsyncMock): with patch("pylet.aio._get_async_client") as mock_get_client: mock_client = MagicMock() - mock_client.get = AsyncMock(side_effect=httpx.ConnectError("Cannot connect")) + mock_client.get = AsyncMock( + side_effect=httpx.ConnectError("Cannot connect") + ) mock_get_client.return_value = mock_client with pytest.raises(ConnectionError): @@ -55,7 +57,9 @@ class TestAsyncShutdown: @pytest.mark.asyncio async def test_shutdown_clears_state(self): """shutdown() clears module state.""" - with patch("pylet.aio._shutdown_state_async", new_callable=AsyncMock) as mock_shutdown: + with patch( + "pylet.aio._shutdown_state_async", new_callable=AsyncMock + ) as mock_shutdown: await aio.shutdown() mock_shutdown.assert_called_once() @@ -76,7 +80,9 @@ class TestAsyncSubmit: async def test_submit_string_command(self): """submit() accepts string command.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -95,7 +101,9 @@ async def test_submit_string_command(self): async def test_submit_with_resources(self): """submit() includes resource requirements.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -123,7 +131,9 @@ class TestAsyncGet: async def test_get_by_name(self): """get() retrieves instance by name.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -142,7 +152,9 @@ async def test_get_by_name(self): async def test_get_by_id(self): """get() retrieves instance by ID.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -168,7 +180,9 @@ async def test_get_not_found(self): import httpx with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.status_code = 404 @@ -189,7 +203,9 @@ class TestAsyncInstances: async def test_instances_returns_list(self): """instances() returns list of Instance objects.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -209,7 +225,9 @@ async def test_instances_returns_list(self): async def test_instances_with_status_filter(self): """instances() passes status filter.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -232,7 +250,9 @@ class TestAsyncWorkers: async def test_workers_returns_list(self): """workers() returns list of WorkerInfo objects.""" with patch("pylet.aio._get_async_client") as mock_get_client: - with patch("pylet.aio._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet.aio._get_head_address", return_value="http://localhost:8000" + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -241,8 +261,16 @@ async def test_workers_returns_list(self): "worker_id": "w-1", "host": "10.0.0.1", "status": "ONLINE", - "total_resources": {"gpu_units": 2, "cpu_cores": 8, "memory_mb": 16384}, - "available_resources": {"gpu_units": 1, "cpu_cores": 4, "memory_mb": 8192}, + "total_resources": { + "gpu_units": 2, + "cpu_cores": 8, + "memory_mb": 16384, + }, + "available_resources": { + "gpu_units": 1, + "cpu_cores": 4, + "memory_mb": 8192, + }, }, ] mock_client.get = AsyncMock(return_value=mock_response) diff --git a/tests/test_client.py b/tests/test_client.py index cae0b76..e7711e7 100644 --- a/tests/test_client.py +++ b/tests/test_client.py @@ -65,7 +65,11 @@ async def test_submit_instance(self, client): instance_id = await client.submit_instance( command="echo hello", - resource_requirements={"cpu_cores": 2, "gpu_units": 1, "memory_mb": 4096}, + resource_requirements={ + "cpu_cores": 2, + "gpu_units": 1, + "memory_mb": 4096, + }, name="my-instance", ) @@ -86,7 +90,11 @@ async def test_submit_instance_without_name(self, client): await client.submit_instance( command="cmd", - resource_requirements={"cpu_cores": 1, "gpu_units": 0, "memory_mb": 512}, + resource_requirements={ + "cpu_cores": 1, + "gpu_units": 0, + "memory_mb": 512, + }, ) call_args = mock_post.call_args @@ -206,7 +214,9 @@ async def test_cancel_instance(self, client): result = await client.cancel_instance("inst-123") assert result == {"message": "Cancellation requested"} - mock_post.assert_called_once_with("http://localhost:8000/instances/inst-123/cancel") + mock_post.assert_called_once_with( + "http://localhost:8000/instances/inst-123/cancel" + ) class TestGetLogs: @@ -359,7 +369,9 @@ async def test_close(self): """Test closing the client.""" client = PyletClient() - with patch.object(client.client, "aclose", new_callable=AsyncMock) as mock_close: + with patch.object( + client.client, "aclose", new_callable=AsyncMock + ) as mock_close: await client.close() mock_close.assert_called_once() diff --git a/tests/test_config.py b/tests/test_config.py index 6e19cd4..9e3d8fc 100644 --- a/tests/test_config.py +++ b/tests/test_config.py @@ -21,13 +21,15 @@ def test_load_valid_toml_file(self, tmp_path): from pylet.config_file import load_config config_file = tmp_path / "job.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "test-job" command = "echo hello" [resources] gpus = 1 -""") +""" + ) config = load_config(str(config_file)) assert config["name"] == "test-job" assert config["command"] == "echo hello" @@ -45,9 +47,11 @@ def test_load_invalid_toml_raises(self, tmp_path): from pylet.config_file import load_config config_file = tmp_path / "invalid.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "unclosed string -""") +""" + ) # Invalid TOML raises ConfigValidationError from pylet.config_file import ConfigValidationError @@ -68,11 +72,13 @@ def test_load_with_comments(self, tmp_path): from pylet.config_file import load_config config_file = tmp_path / "commented.toml" - config_file.write_text(""" + config_file.write_text( + """ # This is a comment name = "test" # inline comment # gpus = 999 # commented out -""") +""" + ) config = load_config(str(config_file)) assert config["name"] == "test" assert "gpus" not in config @@ -172,7 +178,10 @@ def test_type_error_gpus_string(self): with pytest.raises(ConfigValidationError) as exc_info: validate_config(config) assert "gpus" in str(exc_info.value).lower() - assert "int" in str(exc_info.value).lower() or "type" in str(exc_info.value).lower() + assert ( + "int" in str(exc_info.value).lower() + or "type" in str(exc_info.value).lower() + ) def test_type_error_command_int(self): """Test that integer command raises type error.""" @@ -371,7 +380,11 @@ def test_parse_array_with_spaces(self): result = parse_command(["python", "main.py", "--prompt", "Hello World"]) # shlex.join should quote the argument with spaces - assert "Hello World" in result or "'Hello World'" in result or '"Hello World"' in result + assert ( + "Hello World" in result + or "'Hello World'" in result + or '"Hello World"' in result + ) def test_parse_multiline_string(self): """Test parsing multiline string command.""" @@ -563,10 +576,12 @@ def test_explicit_name_overrides_filename(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "filename.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "explicit-name" command = "echo hello" -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.name == "explicit-name" @@ -584,7 +599,8 @@ def test_load_validate_inference_config(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "inference.toml" - config_file.write_text(""" + config_file.write_text( + """ # inference.toml name = "vllm-inference" command = [ @@ -605,7 +621,8 @@ def test_load_validate_inference_config(self, tmp_path): [labels] type = "inference" model = "qwen-2.5" -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.name == "vllm-inference" assert result.command == [ @@ -628,7 +645,8 @@ def test_load_validate_training_config(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "training.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "llama-finetune" command = [ "python", "train.py", @@ -646,7 +664,8 @@ def test_load_validate_training_config(self, tmp_path): [labels] type = "training" -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.name == "llama-finetune" assert result.resources.gpus == 2 @@ -656,7 +675,8 @@ def test_load_validate_advanced_config_with_gpu_indices(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "storage-daemon.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "storage-daemon" command = "storage-daemon start --port $PORT" @@ -670,7 +690,8 @@ def test_load_validate_advanced_config_with_gpu_indices(self, tmp_path): [labels] type = "storage-daemon" -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.name == "storage-daemon" assert result.resources.target_worker == "gpu-node-0" @@ -757,12 +778,14 @@ def test_empty_resources_section(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "job.toml" - config_file.write_text(""" + config_file.write_text( + """ command = "echo hello" [resources] # empty -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.command == "echo hello" @@ -771,11 +794,13 @@ def test_empty_env_section(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "job.toml" - config_file.write_text(""" + config_file.write_text( + """ command = "echo hello" [env] -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.env == {} @@ -784,11 +809,13 @@ def test_empty_labels_section(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "job.toml" - config_file.write_text(""" + config_file.write_text( + """ command = "echo hello" [labels] -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.labels == {} @@ -850,13 +877,15 @@ def test_unicode_in_config(self, tmp_path): from pylet.config_file import load_and_validate_config config_file = tmp_path / "unicode.toml" - config_file.write_text(""" + config_file.write_text( + """ name = "训练任务" command = "echo 你好" [labels] description = "中文描述" -""") +""" + ) result = load_and_validate_config(str(config_file)) assert result.name == "训练任务" assert result.labels["description"] == "中文描述" diff --git a/tests/test_controller.py b/tests/test_controller.py index 48b4be5..4ae7d0c 100644 --- a/tests/test_controller.py +++ b/tests/test_controller.py @@ -151,7 +151,8 @@ async def test_submit_instance_auto_name(self, controller): ) instance = await controller.get_instance(instance_id) - # Auto-generated name should be first 8 chars of UUID + # Auto-generated name should be first 8 chars of instance UUID + assert len(instance["name"]) == 8 assert instance["name"] == instance_id[:8] @pytest.mark.asyncio @@ -313,7 +314,10 @@ async def test_heartbeat_processes_completed_report(self, controller): boot_id="boot-123", instances=[ InstanceReport( - instance_id=instance_id, attempt=attempt, status="RUNNING", port=15600 + instance_id=instance_id, + attempt=attempt, + status="RUNNING", + port=15600, ) ], ), @@ -327,7 +331,10 @@ async def test_heartbeat_processes_completed_report(self, controller): boot_id="boot-123", instances=[ InstanceReport( - instance_id=instance_id, attempt=attempt, status="COMPLETED", exit_code=0 + instance_id=instance_id, + attempt=attempt, + status="COMPLETED", + exit_code=0, ) ], ), @@ -470,7 +477,9 @@ async def test_cancel_terminal_instance_fails(self, controller): await controller._run_scheduling_cycle() instance = await controller.get_instance(instance_id) - await controller.db.transition_to_terminal(instance_id, instance["attempt"], "COMPLETED", 0) + await controller.db.transition_to_terminal( + instance_id, instance["attempt"], "COMPLETED", 0 + ) success = await controller.request_cancellation(instance_id) assert success is False @@ -590,7 +599,9 @@ async def test_scheduler_allocates_gpus(self, controller): await controller._run_scheduling_cycle() instance = await controller.get_instance(instance_id) - allocations = await controller.db.get_instance_allocations(instance_id, instance["attempt"]) + allocations = await controller.db.get_instance_allocations( + instance_id, instance["attempt"] + ) assert len(allocations) == 2 gpu_indices = {a["gpu_index"] for a in allocations} @@ -696,7 +707,9 @@ async def test_not_found_marks_instance_failed(self, controller): attempt = instance["attempt"] # Make it RUNNING first (NOT_FOUND only handled for non-ASSIGNED) - await controller.db.update_instance_running(instance_id, attempt, 15600, "1.1.1.1:15600") + await controller.db.update_instance_running( + instance_id, attempt, 15600, "1.1.1.1:15600" + ) # Report NOT_FOUND request = HeartbeatRequest( @@ -739,7 +752,9 @@ async def test_cancelled_with_request_becomes_cancelled(self, controller): attempt = instance["attempt"] # Make it RUNNING - await controller.db.update_instance_running(instance_id, attempt, 15600, "1.1.1.1:15600") + await controller.db.update_instance_running( + instance_id, attempt, 15600, "1.1.1.1:15600" + ) # Request cancellation await controller.request_cancellation(instance_id) @@ -780,7 +795,9 @@ async def test_cancelled_without_request_becomes_failed(self, controller): attempt = instance["attempt"] # Make it RUNNING - await controller.db.update_instance_running(instance_id, attempt, 15600, "1.1.1.1:15600") + await controller.db.update_instance_running( + instance_id, attempt, 15600, "1.1.1.1:15600" + ) # Report CANCELLED without requesting cancellation request = HeartbeatRequest( diff --git a/tests/test_db.py b/tests/test_db.py index 659e838..c2d4953 100644 --- a/tests/test_db.py +++ b/tests/test_db.py @@ -93,7 +93,8 @@ async def test_insert_worker_creates_gpu_inventory(self, db): ) gpus = await db.fetch_all( - "SELECT gpu_index FROM worker_gpu_inventory WHERE worker_id = ?", ("worker-2",) + "SELECT gpu_index FROM worker_gpu_inventory WHERE worker_id = ?", + ("worker-2",), ) assert len(gpus) == 2 assert {g["gpu_index"] for g in gpus} == {0, 1} diff --git a/tests/test_instance.py b/tests/test_instance.py index 9d8db0d..03a5825 100644 --- a/tests/test_instance.py +++ b/tests/test_instance.py @@ -37,7 +37,11 @@ def test_status(self): def test_display_status(self): """Instance.display_status returns display_status when available.""" - data = {"instance_id": "abc", "status": "RUNNING", "display_status": "CANCELLING"} + data = { + "instance_id": "abc", + "status": "RUNNING", + "display_status": "CANCELLING", + } instance = Instance(data) assert instance.display_status == "CANCELLING" @@ -49,7 +53,11 @@ def test_display_status_fallback(self): def test_endpoint(self): """Instance.endpoint returns the endpoint.""" - data = {"instance_id": "abc", "status": "RUNNING", "endpoint": "192.168.1.5:8080"} + data = { + "instance_id": "abc", + "status": "RUNNING", + "endpoint": "192.168.1.5:8080", + } instance = Instance(data) assert instance.endpoint == "192.168.1.5:8080" diff --git a/tests/test_schemas.py b/tests/test_schemas.py index 2c8cd13..38d7a32 100644 --- a/tests/test_schemas.py +++ b/tests/test_schemas.py @@ -43,7 +43,15 @@ class TestInstanceStatus: def test_all_statuses_defined(self): """Test that all expected statuses are defined.""" - expected = {"PENDING", "ASSIGNED", "RUNNING", "UNKNOWN", "COMPLETED", "FAILED", "CANCELLED"} + expected = { + "PENDING", + "ASSIGNED", + "RUNNING", + "UNKNOWN", + "COMPLETED", + "FAILED", + "CANCELLED", + } actual = {s.value for s in InstanceStatus} assert actual == expected @@ -123,15 +131,30 @@ class TestValidateTransition: def test_valid_transition(self): """Test that valid transitions return True.""" - assert validate_transition(InstanceStatus.PENDING, InstanceStatus.ASSIGNED) is True - assert validate_transition(InstanceStatus.ASSIGNED, InstanceStatus.RUNNING) is True - assert validate_transition(InstanceStatus.RUNNING, InstanceStatus.COMPLETED) is True + assert ( + validate_transition(InstanceStatus.PENDING, InstanceStatus.ASSIGNED) is True + ) + assert ( + validate_transition(InstanceStatus.ASSIGNED, InstanceStatus.RUNNING) is True + ) + assert ( + validate_transition(InstanceStatus.RUNNING, InstanceStatus.COMPLETED) + is True + ) def test_invalid_transition(self): """Test that invalid transitions return False.""" - assert validate_transition(InstanceStatus.PENDING, InstanceStatus.RUNNING) is False - assert validate_transition(InstanceStatus.PENDING, InstanceStatus.COMPLETED) is False - assert validate_transition(InstanceStatus.COMPLETED, InstanceStatus.RUNNING) is False + assert ( + validate_transition(InstanceStatus.PENDING, InstanceStatus.RUNNING) is False + ) + assert ( + validate_transition(InstanceStatus.PENDING, InstanceStatus.COMPLETED) + is False + ) + assert ( + validate_transition(InstanceStatus.COMPLETED, InstanceStatus.RUNNING) + is False + ) def test_terminal_to_any_is_invalid(self): """Test that transitions from terminal states are invalid.""" @@ -224,7 +247,9 @@ def test_create_instance_with_all_fields(self): instance_id="test-456", name="my-instance", command="python script.py", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=8192), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=8192 + ), status=InstanceStatus.RUNNING, attempt=2, assigned_to="worker-1", @@ -316,7 +341,9 @@ def test_create_heartbeat_request(self): boot_id="boot-abc", last_seen_gen=5, instances=[ - InstanceReport(instance_id="i1", attempt=1, status="RUNNING", port=15600), + InstanceReport( + instance_id="i1", attempt=1, status="RUNNING", port=15600 + ), ], ) assert request.worker_token == "token-123" diff --git a/tests/test_sync_api.py b/tests/test_sync_api.py index bac9e67..b3fcc79 100644 --- a/tests/test_sync_api.py +++ b/tests/test_sync_api.py @@ -96,7 +96,10 @@ class TestSubmit: def test_submit_string_command(self): """submit() accepts string command.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -124,7 +127,10 @@ def test_submit_string_command(self): def test_submit_list_command(self): """submit() accepts list command and shell-escapes it.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -147,7 +153,10 @@ def test_submit_list_command(self): def test_submit_with_resources(self): """submit() includes resource requirements.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -170,13 +179,20 @@ def test_submit_with_resources(self): def test_submit_with_name(self): """submit() includes instance name.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() mock_response.json.side_effect = [ {"instance_id": "abc-123"}, - {"instance_id": "abc-123", "status": "PENDING", "name": "my-instance"}, + { + "instance_id": "abc-123", + "status": "PENDING", + "name": "my-instance", + }, ] mock_client.post.return_value = mock_response mock_client.get.return_value = mock_response @@ -195,7 +211,10 @@ class TestGet: def test_get_by_name(self): """get() retrieves instance by name.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -218,7 +237,10 @@ def test_get_by_name(self): def test_get_by_id(self): """get() retrieves instance by ID.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -232,7 +254,9 @@ def test_get_by_id(self): instance = get(id="abc-123") assert instance.id == "abc-123" - mock_client.get.assert_called_with("http://localhost:8000/instances/abc-123") + mock_client.get.assert_called_with( + "http://localhost:8000/instances/abc-123" + ) def test_get_raises_without_identifier(self): """get() raises ValueError without name or id.""" @@ -244,7 +268,10 @@ def test_get_not_found(self): import httpx with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.status_code = 404 @@ -264,7 +291,10 @@ class TestInstances: def test_instances_returns_list(self): """instances() returns list of Instance objects.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -283,7 +313,10 @@ def test_instances_returns_list(self): def test_instances_with_status_filter(self): """instances() passes status filter.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -307,7 +340,10 @@ class TestWorkers: def test_workers_returns_list(self): """workers() returns list of WorkerInfo objects.""" with patch("pylet._sync_api._get_client") as mock_get_client: - with patch("pylet._sync_api._get_head_address", return_value="http://localhost:8000"): + with patch( + "pylet._sync_api._get_head_address", + return_value="http://localhost:8000", + ): mock_client = MagicMock() mock_response = MagicMock() mock_response.raise_for_status = MagicMock() @@ -316,8 +352,16 @@ def test_workers_returns_list(self): "worker_id": "w-1", "host": "10.0.0.1", "status": "ONLINE", - "total_resources": {"gpu_units": 2, "cpu_cores": 8, "memory_mb": 16384}, - "available_resources": {"gpu_units": 1, "cpu_cores": 4, "memory_mb": 8192}, + "total_resources": { + "gpu_units": 2, + "cpu_cores": 8, + "memory_mb": 16384, + }, + "available_resources": { + "gpu_units": 1, + "cpu_cores": 4, + "memory_mb": 8192, + }, }, ] mock_client.get.return_value = mock_response diff --git a/tests/test_venv.py b/tests/test_venv.py index d0d3533..0dea6e5 100644 --- a/tests/test_venv.py +++ b/tests/test_venv.py @@ -75,7 +75,9 @@ def test_venv_coexists_with_all_advanced_fields(self): """Test that venv works with all advanced placement fields.""" request = InstanceSubmissionRequest( command="vllm serve model", - resource_requirements=ResourceSpec(cpu_cores=4, gpu_units=2, memory_mb=16384), + resource_requirements=ResourceSpec( + cpu_cores=4, gpu_units=2, memory_mb=16384 + ), venv="/opt/vllm-env", env={"MODEL_PATH": "/models/llama"}, target_worker="worker-1", @@ -193,7 +195,9 @@ def test_rejects_relative_path(self): "home/user/venv", ] for path in invalid_paths: - assert not path.startswith("/"), f"Path {path} should be rejected as relative" + assert not path.startswith( + "/" + ), f"Path {path} should be rejected as relative" def test_rejects_path_with_dotdot(self): """Test that paths containing '..' are rejected.""" @@ -266,7 +270,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -296,7 +302,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -329,7 +337,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -359,7 +369,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -388,7 +400,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -418,7 +432,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -458,7 +474,9 @@ async def test_get_desired_instances_includes_venv(self): # Submit an instance with venv await controller.submit_instance( command="python train.py", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=1, memory_mb=1024), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=1, memory_mb=1024 + ), venv="/home/user/my-venv", ) @@ -494,7 +512,9 @@ async def test_get_desired_instances_venv_none_when_not_set(self): # Submit an instance WITHOUT venv await controller.submit_instance( command="python train.py", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=1, memory_mb=1024), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=1, memory_mb=1024 + ), ) # Trigger scheduling (use actual method name) @@ -639,7 +659,11 @@ class TestAPIVenvSubmission: @pytest.mark.asyncio async def test_validate_submission_accepts_valid_venv(self): """Test that validation accepts valid absolute venv path.""" - from pylet.server import InstanceSubmissionRequest, ResourceSpec, _validate_submission + from pylet.server import ( + InstanceSubmissionRequest, + ResourceSpec, + _validate_submission, + ) request = InstanceSubmissionRequest( command="python train.py", @@ -653,7 +677,11 @@ async def test_validate_submission_accepts_valid_venv(self): @pytest.mark.asyncio async def test_validate_submission_accepts_none_venv(self): """Test that validation accepts venv=None.""" - from pylet.server import InstanceSubmissionRequest, ResourceSpec, _validate_submission + from pylet.server import ( + InstanceSubmissionRequest, + ResourceSpec, + _validate_submission, + ) request = InstanceSubmissionRequest( command="python train.py", @@ -667,7 +695,11 @@ async def test_validate_submission_accepts_none_venv(self): @pytest.mark.asyncio async def test_validate_submission_rejects_relative_venv(self): """Test that validation rejects relative venv path.""" - from pylet.server import InstanceSubmissionRequest, ResourceSpec, _validate_submission + from pylet.server import ( + InstanceSubmissionRequest, + ResourceSpec, + _validate_submission, + ) request = InstanceSubmissionRequest( command="python train.py", @@ -683,7 +715,11 @@ async def test_validate_submission_rejects_relative_venv(self): @pytest.mark.asyncio async def test_validate_submission_rejects_dotdot_venv(self): """Test that validation rejects venv path containing '..'.""" - from pylet.server import InstanceSubmissionRequest, ResourceSpec, _validate_submission + from pylet.server import ( + InstanceSubmissionRequest, + ResourceSpec, + _validate_submission, + ) request = InstanceSubmissionRequest( command="python train.py", @@ -699,7 +735,11 @@ async def test_validate_submission_rejects_dotdot_venv(self): @pytest.mark.asyncio async def test_validate_submission_accepts_venv_with_spaces(self): """Test that validation accepts venv path with spaces.""" - from pylet.server import InstanceSubmissionRequest, ResourceSpec, _validate_submission + from pylet.server import ( + InstanceSubmissionRequest, + ResourceSpec, + _validate_submission, + ) request = InstanceSubmissionRequest( command="python train.py", diff --git a/tests/test_venv_integration.py b/tests/test_venv_integration.py index b1466de..752471c 100644 --- a/tests/test_venv_integration.py +++ b/tests/test_venv_integration.py @@ -52,7 +52,8 @@ def temp_venv_with_script(temp_venv): """Create a venv with a test script.""" # Create a test script that prints its Python path script_path = temp_venv.parent / "test_script.py" - script_path.write_text(""" + script_path.write_text( + """ import sys import os @@ -71,7 +72,8 @@ def temp_venv_with_script(temp_venv): # Print success print("TEST_COMPLETED=True") -""") +""" + ) return temp_venv, script_path @@ -111,7 +113,9 @@ async def test_instance_runs_in_venv(self, temp_venv_with_script): # Submit instance with venv instance_id = await controller.submit_instance( command=f"python {script_path}", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=0, memory_mb=512), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=0, memory_mb=512 + ), venv=str(venv_path), ) @@ -140,7 +144,9 @@ async def test_instance_fails_with_nonexistent_venv(self): # Submit instance with non-existent venv instance_id = await controller.submit_instance( command="echo hello", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=0, memory_mb=512), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=0, memory_mb=512 + ), venv="/nonexistent/path/to/venv", ) @@ -169,7 +175,9 @@ async def test_instance_without_venv_uses_worker_env(self): # Submit instance WITHOUT venv instance_id = await controller.submit_instance( command="python -c 'import sys; print(sys.executable)'", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=0, memory_mb=512), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=0, memory_mb=512 + ), ) instance = await controller.get_instance(instance_id) @@ -224,7 +232,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -273,7 +283,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -328,7 +340,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -377,7 +391,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -439,7 +455,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -480,7 +498,9 @@ async def test_instances_without_venv_still_work(self): # Submit instance the "old way" without venv instance_id = await controller.submit_instance( command="echo hello", - resource_requirements=ResourceSpec(cpu_cores=1, gpu_units=0, memory_mb=512), + resource_requirements=ResourceSpec( + cpu_cores=1, gpu_units=0, memory_mb=512 + ), ) instance = await controller.get_instance(instance_id) @@ -524,7 +544,9 @@ async def mock_create_subprocess(cmd, *args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) diff --git a/tests/test_worker.py b/tests/test_worker.py index 68e8e6f..52c0987 100644 --- a/tests/test_worker.py +++ b/tests/test_worker.py @@ -595,7 +595,9 @@ async def mock_create_subprocess(*args, **kwargs): mock_proc.pid = 12345 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", side_effect=mock_create_subprocess + ): with patch("os.getpgid", return_value=12345): await worker._start_instance(inst) @@ -603,7 +605,9 @@ async def mock_create_subprocess(*args, **kwargs): assert captured_env is not None assert captured_env["PORT"] != "9999", "PORT should be overridden by Pylet" assert captured_env["PORT"] == "15600", "PORT should be Pylet-allocated port" - assert captured_env["CUDA_VISIBLE_DEVICES"] == "0,1", "CUDA should match gpu_indices" + assert ( + captured_env["CUDA_VISIBLE_DEVICES"] == "0,1" + ), "CUDA should match gpu_indices" # User's custom var should be preserved assert captured_env["MODEL_PATH"] == "/models/llama" @@ -631,7 +635,9 @@ async def mock_create_subprocess(*args, **kwargs): mock_proc.pid = 12346 return mock_proc - with patch("asyncio.create_subprocess_shell", side_effect=mock_create_subprocess): + with patch( + "asyncio.create_subprocess_shell", 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