diff --git a/.gitignore b/.gitignore index f885344..0470ec8 100644 --- a/.gitignore +++ b/.gitignore @@ -85,7 +85,7 @@ ipython_config.py # pyenv # For a library or package, you might want to ignore these files since the code is # intended to run in multiple environments; otherwise, check them in: -# .python-version +.python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. @@ -170,3 +170,6 @@ cython_debug/ # Mac .DS_Store + +# Tests +tests/integration/assets/config.json diff --git a/README.md b/README.md index ba73f6c..1d78e10 100644 --- a/README.md +++ b/README.md @@ -41,10 +41,6 @@ through environment variables. Before deploying the Gateway, make sure to set th either by exporting them in the shell or by creating a `.env` file in the root directory of the project. The following variables are required: -* `MLFLOW_TRACKING_URI`: The URI for the MLflow tracking server. -* `CMS_PROJECT_NAME`: The name of the Docker project where the CogStack ModelServe stack is running. -* `CMS_HOST_URL` (optional): Useful when running CogStack ModelServe instances behind a proxy. If - omitted, the Gateway will attempt to reach the services directly over the internal Docker network. * `CMG_SCHEDULER_MAX_CONCURRENT_TASKS`: The max number of concurrent tasks the scheduler can handle. * `CMG_DB_USER`: The username for the PostgreSQL database. * `CMG_DB_PASSWORD`: The password for the PostgreSQL database. @@ -65,37 +61,29 @@ not allowed in MinIO bucket names). The configuration should be saved in a `.env directory of the project before running Docker Compose (or sourced directly in the shell): ```shell -CMS_PROJECT_NAME= # e.g. cms - -# (optional) Useful when running CMS behind a proxy -CMS_HOST_URL=https:///cms # e.g. https://proxy/cms - CMG_SCHEDULER_MAX_CONCURRENT_TASKS=1 # Postgres CMG_DB_USER=admin CMG_DB_PASSWORD=admin -CMG_DB_HOST=postgres +CMG_DB_HOST=db CMG_DB_PORT=5432 CMG_DB_NAME=cmg_tasks # RabbitMQ CMG_QUEUE_USER=admin CMG_QUEUE_PASSWORD=admin -CMG_QUEUE_HOST=rabbitmq +CMG_QUEUE_HOST=queue CMG_QUEUE_PORT=5672 CMG_QUEUE_NAME=cmg_tasks # MinIO CMG_OBJECT_STORE_ACCESS_KEY=admin CMG_OBJECT_STORE_SECRET_KEY=admin123 -CMG_OBJECT_STORE_HOST=minio +CMG_OBJECT_STORE_HOST=object-store CMG_OBJECT_STORE_PORT=9000 CMG_OBJECT_STORE_BUCKET_TASKS=cmg-tasks CMG_OBJECT_STORE_BUCKET_RESULTS=cmg-results - -# MLflow (use container IP when running locally) -MLFLOW_TRACKING_URI=http://: # e.g. http://mlflow-ui:5000 ``` To install the CogStack Model Gateway, clone the repository and run `docker compose` inside the root @@ -127,15 +115,27 @@ monitoring the state of submitted tasks. The following endpoints are available: * **Model Servers**: Interact with CMS model servers. - * `GET /models`: List all available model servers (i.e. Docker containers with the - "org.cogstack.model-serve" label and "com.docker.compose.project" set to `$CMS_PROJECT_NAME`). + * `GET /models`: List all available model servers, returning both running containers and on-demand + models that can be auto-deployed. + * **Response**: Dictionary with `running` and `on_demand` keys each containing a list of models. * **Query Parameters**: - * `verbose (bool)`: Include model metadata from the tracking server (if available). + * `verbose (bool, default=false)`: When false, returns minimal info (name, uri, is_running). + When true, includes description, model_type, deployment_type, idle_ttl, resources, tracking + metadata, and runtime info (for running models). + + * `GET /models/{model_name}`: Get information about a specific model (running or on-demand) + without triggering auto-deployment. + + * **Query Parameters**: + * `verbose (bool, default=false)`: When false, returns minimal info (name, uri, is_running). + When true, includes description, model_type, deployment_type, idle_ttl, resources, tracking + metadata, and runtime info (for running models). + + * `GET /models/{model_name}/info`: Get detailed information about a running model server + (equivalent to the CMS `/info` endpoint). May trigger auto-deployment for on-demand models. - * `GET /models/{model_server_name}/info`: Get information about a specific model (equivalent to - the `/info` CMS endpoint). - * `POST /models/{model_server_name}`: Deploy a new model server from a previously trained model. + * `POST /models/{model_name}`: Deploy a new model server from a previously trained model. * **Body**: * `tracking_id (str)`: The tracking ID of the run that generated the model to serve (e.g. @@ -144,9 +144,9 @@ monitoring the state of submitted tasks. The following endpoints are available: * `ttl (int, default=86400)`: The deployed model will be deleted after TTL seconds (defaults to 1 day). Set -1 as the TTL value to protect the model from being deleted. - * `POST /models/{model_server_name}/tasks/{task_name}`: Execute a task on the specified model - server, providing any query parameters or request body required (follows the CMS API, striving - to support the same endpoints). + * `POST /models/{model_name}/tasks/{task_name}`: Execute a task on the specified model server, + providing any query parameters or request body required (follows the CMS API, striving to + support the same endpoints). * **Tasks**: Monitor the state of submitted tasks. diff --git a/client/cogstack_model_gateway_client/client.py b/client/cogstack_model_gateway_client/client.py index 901b2cf..0ac6dd6 100644 --- a/client/cogstack_model_gateway_client/client.py +++ b/client/cogstack_model_gateway_client/client.py @@ -14,25 +14,30 @@ def __init__( self, base_url: str, default_model: str = None, + request_timeout: float = 300.0, polling_interval: float = 2.0, - timeout: float | None = None, + polling_timeout: float | None = None, ): """Initialize the GatewayClient with the base Gateway URL and optional parameters. Args: base_url (str): The base URL of the Gateway service. default_model (str, optional): The default model to use for tasks. Defaults to None. + request_timeout (float, optional): The HTTP request timeout in seconds for individual + requests to the Gateway. Defaults to 300.0 seconds to accommodate slower requests, + e.g. the ones triggering model auto-deployment, but should be adjusted as needed. polling_interval (float, optional): The interval in seconds to poll for task completion. Defaults to 2.0 seconds, with a minimum of 0.5 and maximum of 3.0 seconds. - timeout (float, optional): The client polling timeout while waiting for task completion. - Defaults to None (no timeout). When set to a float value, a TimeoutError will be - raised if the task takes longer than the specified number of seconds. When None, - the client will wait indefinitely for task completion. + polling_timeout (float, optional): The client polling timeout while waiting for task + completion. Defaults to None (no timeout). When set to a float value, a TimeoutError + will be raised if the task takes longer than the specified number of seconds. When + None, the client will wait indefinitely for task completion. """ self.base_url = base_url.rstrip("/") self.default_model = default_model + self.request_timeout = request_timeout self.polling_interval = polling_interval - self.timeout = timeout + self.polling_timeout = polling_timeout self._client = None @property @@ -44,7 +49,7 @@ def polling_interval(self, value: float): self._polling_interval = max(0.5, min(value, 3.0)) async def __aenter__(self): - self._client = httpx.AsyncClient() + self._client = httpx.AsyncClient(timeout=self.request_timeout) return self async def __aexit__(self, exc_type, exc, tb): @@ -274,20 +279,56 @@ async def wait_for_task( error_message = task.get("error_message", "Unknown error") raise TaskFailedError(task_uuid, error_message, task) return task - if self.timeout is not None and asyncio.get_event_loop().time() - start > self.timeout: + if ( + self.polling_timeout is not None + and asyncio.get_event_loop().time() - start > self.polling_timeout + ): raise TimeoutError(f"Timed out waiting for task '{task_uuid}' to complete") await asyncio.sleep(self.polling_interval) @require_client async def get_models(self, verbose: bool = False): - """Get the list of available models from the Gateway.""" + """Get the list of available models from the Gateway. + + Returns a dict with 'running' and 'on_demand' lists. + When verbose=False: each model includes name, uri, is_running. + When verbose=True: additionally includes description, model_type, deployment_type, + idle_ttl, resources, tracking, and runtime (for running models). + """ url = f"{self.base_url}/models/" resp = await self._request("GET", url, params={"verbose": verbose}) return resp.json() @require_client - async def get_model(self, model_name: str = None): - """Get details of a specific model.""" + async def get_model(self, model_name: str = None, verbose: bool = False): + """Get details of a specific model. + + Args: + model_name: Name of the model. Uses default_model if not provided. + verbose: Include tracking metadata and CMS info (for running models). + + Returns: + When verbose=False: dict with name, uri, is_running. + When verbose=True: additionally includes description, model_type, deployment_type, + idle_ttl, resources, tracking, and runtime (for running models). + """ + model_name = model_name or self.default_model + if not model_name: + raise ValueError("Please provide a model name or set a default model for the client.") + url = f"{self.base_url}/models/{model_name}" + resp = await self._request("GET", url, params={"verbose": verbose}) + return resp.json() + + @require_client + async def get_model_info(self, model_name: str = None): + """Get CMS /info endpoint response for a running model. + + This mirrors the CMS /info endpoint and may trigger auto-deployment + for on-demand models. + + Args: + model_name: Name of the model. Uses default_model if not provided. + """ model_name = model_name or self.default_model if not model_name: raise ValueError("Please provide a model name or set a default model for the client.") @@ -303,7 +344,18 @@ async def deploy_model( model_uri: str = None, ttl: int = None, ): - """Deploy a CogStack Model Serve model through the Gateway.""" + """Deploy a CogStack Model Serve model through the Gateway. + + Args: + model_name: Name for the deployed model. Uses `default_model` if not provided. + tracking_id: Tracking server run ID (e.g. MLflow run ID) to resolve model URI + (optional if `model_uri` is provided explicitly). + model_uri: Direct URI to the model artifact (optional if `tracking_id` is provided). + ttl: Time-to-live in seconds. Set -1 to protect from auto-removal. + + Returns: + dict: Deployment info with `container_id`, `container_name`, `model_uri`, `ttl`. + """ model_name = model_name or self.default_model if not model_name: raise ValueError("Please provide a model name or set a default model for the client.") @@ -312,6 +364,217 @@ async def deploy_model( resp = await self._request("POST", url, json=data) return resp.json() + @require_client + async def remove_model(self, model_name: str = None, force: bool = False): + """Remove a deployed CogStack Model Serve instance. + + Args: + model_name: Name of the model to remove. Uses `default_model` if not provided. + force: Force removal even if model is not running (for cleanup of stopped containers). + + Returns: + None on success. + """ + model_name = model_name or self.default_model + if not model_name: + raise ValueError("Please provide a model name or set a default model for the client.") + url = f"{self.base_url}/models/{model_name}" + return await self._request("DELETE", url, params={"force": force}) + + @require_client + async def list_on_demand_configs(self, include_disabled: bool = False): + """List on-demand model configurations. + + Args: + include_disabled: Include disabled (soft-deleted) configurations. + + Returns: + dict: Response with 'configs' list and 'total' count. + """ + url = f"{self.base_url}/admin/on-demand" + resp = await self._request("GET", url, params={"include_disabled": include_disabled}) + return resp.json() + + @require_client + async def get_on_demand_config(self, model_name: str): + """Get the enabled on-demand configuration for a model given its name. + + Args: + model_name: The model name to fetch the configuration for. + + Returns: + dict: Configuration details. + """ + url = f"{self.base_url}/admin/on-demand/{model_name}" + resp = await self._request("GET", url) + return resp.json() + + @require_client + async def get_on_demand_config_history(self, model_name: str): + """Get all versions (enabled and disabled) of a configuration for a model given its name. + + Args: + model_name: The model name to fetch the configuration history for. + Returns: + dict: Response with 'configs' list and 'total' count. + """ + url = f"{self.base_url}/admin/on-demand/{model_name}/history" + resp = await self._request("GET", url) + return resp.json() + + @require_client + async def create_on_demand_config( + self, + model_name: str, + tracking_id: str = None, + model_uri: str = None, + idle_ttl: int = None, + description: str = None, + deploy: dict = None, + replace_enabled: bool = True, + inherit_config: bool = True, + ): + """Create a new on-demand model configuration. + + The model will be available for auto-deployment when requests target its `model_name`. + Only one **enabled** configuration can exist per `model_name` at a time. + + You can specify the model using either `tracking_id` (e.g. MLflow run ID) or `model_uri` + (direct artifact URI), or both. While `model_uri` takes precedence, if only `tracking_id` is + provided, it will be resolved to a `model_uri`. If `require_model_uri_validation` is set to + true in the config, the resolved or explicit URI will be validated against the tracking + server. + + Set `replace_enabled=true` to atomically disable any existing config and create the new one, + preserving the old config in history for potential rollback and replacing the original as + the enabled config. If `replace_enabled=false` and an enabled config already exists for the + same `model_name`, a `409 Conflict` error is returned. + + Set `inherit_config=true` to copy settings from the currently enabled config for this model. + If no enabled config exists, a new config will be created as long as the mandatory fields + are provided (i.e. `model_uri` or `tracking_id`). Any explicitly provided fields will + override the inherited values. When creating a config from scratch is desired, it is + recommended to set `inherit_config=false` to avoid confusion and explicitly provide + configuration fields as needed. + + Args: + model_name: Docker service/container name for the model. + tracking_id: Tracking server run ID to resolve model URI + (optional if `model_uri` is provided explicitly). + model_uri: Direct URI to the model artifact (optional if `tracking_id` is provided). + idle_ttl: Idle TTL in seconds. + description: Human-readable description. + deploy: Deployment specification dict with resources, etc. + replace_enabled: Replace existing enabled config (creates version history). + inherit_config: Inherit settings from existing enabled config if available. + + Returns: + dict: Created configuration. + """ + url = f"{self.base_url}/admin/on-demand" + data = { + "model_name": model_name, + "tracking_id": tracking_id, + "model_uri": model_uri, + "idle_ttl": idle_ttl, + "description": description, + "deploy": deploy, + "replace_enabled": replace_enabled, + "inherit_config": inherit_config, + } + resp = await self._request("POST", url, json=data) + return resp.json() + + @require_client + async def update_on_demand_config( + self, + model_name: str, + tracking_id: str = None, + model_uri: str = None, + idle_ttl: int = None, + description: str = None, + deploy: dict = None, + clear_tracking_id: bool = False, + clear_idle_ttl: bool = False, + clear_description: bool = False, + clear_deploy: bool = False, + ): + """Update an existing on-demand model configuration in-place without creating a new version. + + Only provided fields will be updated. Use `clear_*` flags to explicitly unset optional + fields. This does NOT create version history. To preserve history, use the client's + `create_on_demand_config` method with `replace_enabled=true`. + + You can update the model reference using `tracking_id`, `model_uri`, or both. While + `model_uri` takes precedence, if only `tracking_id` is provided, it will be resolved to a + `model_uri`. If `require_model_uri_validation` is set to true in the config, the resolved or + explicit URI will be validated against the tracking server. Note that updating `tracking_id` + results in updating `model_uri` as well if the latter is not explicitly provided. + + Note: If a model is currently running, changes will only take effect on the next deployment. + + Args: + model_name: Name for the model configuration to update. + tracking_id: New tracking ID. + model_uri: New model URI. + idle_ttl: New idle TTL in seconds. + description: New description. + deploy: New deployment specification. + clear_tracking_id: Clear tracking_id field. + clear_idle_ttl: Clear idle_ttl (use system default). + clear_description: Clear description field. + clear_deploy: Clear deployment specification. + + Returns: + dict: Updated configuration. + """ + url = f"{self.base_url}/admin/on-demand/{model_name}" + data = { + "tracking_id": tracking_id, + "model_uri": model_uri, + "idle_ttl": idle_ttl, + "description": description, + "deploy": deploy, + "clear_tracking_id": clear_tracking_id, + "clear_idle_ttl": clear_idle_ttl, + "clear_description": clear_description, + "clear_deploy": clear_deploy, + } + resp = await self._request("PUT", url, json=data) + return resp.json() + + @require_client + async def delete_on_demand_config(self, model_name: str): + """Soft-delete (disable) an on-demand model configuration. + + The configuration is preserved in history and can be re-enabled. Does not stop currently + running instances. + + Args: + model_name: Model name for which to disable active configuration. + + Returns: + None on success. + """ + url = f"{self.base_url}/admin/on-demand/{model_name}" + return await self._request("DELETE", url) + + @require_client + async def enable_on_demand_config(self, config_id: int): + """Enable an on-demand configuration by ID. + + Enables a config, disabling any currently enabled config for the same model. + + Args: + config_id: ID of the configuration to enable. + + Returns: + dict: Enabled configuration. + """ + url = f"{self.base_url}/admin/on-demand/{config_id}/enable" + resp = await self._request("POST", url) + return resp.json() + @require_client async def health_check(self): """Check if the Gateway and its components are healthy and responsive. @@ -436,6 +699,10 @@ def __del__(self): def base_url(self): return self._client.base_url + @base_url.setter + def base_url(self, value: str): + self._client.base_url = value + @property def default_model(self): return self._client.default_model @@ -444,6 +711,14 @@ def default_model(self): def default_model(self, value: str): self._client.default_model = value + @property + def request_timeout(self): + return self._client.request_timeout + + @request_timeout.setter + def request_timeout(self, value: float | None): + self._client.request_timeout = value + @property def polling_interval(self): return self._client.polling_interval @@ -453,12 +728,12 @@ def polling_interval(self, value: float): self._client.polling_interval = value @property - def timeout(self): - return self._client.timeout + def polling_timeout(self): + return self._client.polling_timeout - @timeout.setter - def timeout(self, value: float | None): - self._client.timeout = value + @polling_timeout.setter + def polling_timeout(self, value: float | None): + self._client.polling_timeout = value def submit_task( self, @@ -588,12 +863,39 @@ def wait_for_task(self, task_uuid: str, detail: bool = True, raise_on_error: boo ) def get_models(self, verbose: bool = False): - """Get the list of available models from the Gateway.""" + """Get the list of available models from the Gateway. + + Returns a dict with 'running' and 'on_demand' lists. + When verbose=False: each model includes name, uri, is_running. + When verbose=True: additionally includes description, model_type, deployment_type, + idle_ttl, resources, tracking, and runtime (for running models). + """ return asyncio.run(self._client.get_models(verbose=verbose)) - def get_model(self, model_name: str = None): - """Get details of a specific model.""" - return asyncio.run(self._client.get_model(model_name=model_name)) + def get_model(self, model_name: str = None, verbose: bool = False): + """Get details of a specific model. + + Args: + model_name: Name of the model. Uses default_model if not provided. + verbose: Include tracking metadata and CMS info (for running models). + + Returns: + When verbose=False: dict with name, uri, is_running. + When verbose=True: additionally includes description, model_type, deployment_type, + idle_ttl, resources, tracking, and runtime (for running models). + """ + return asyncio.run(self._client.get_model(model_name=model_name, verbose=verbose)) + + def get_model_info(self, model_name: str = None): + """Get CMS /info endpoint response for a running model. + + This mirrors the CMS /info endpoint and may trigger auto-deployment + for on-demand models. + + Args: + model_name: Name of the model. Uses default_model if not provided. + """ + return asyncio.run(self._client.get_model_info(model_name=model_name)) def deploy_model( self, @@ -602,7 +904,18 @@ def deploy_model( model_uri: str = None, ttl: int = None, ): - """Deploy a CogStack Model Serve model through the Gateway.""" + """Deploy a CogStack Model Serve model through the Gateway. + + Args: + model_name: Name for the deployed model. Uses `default_model` if not provided. + tracking_id: Tracking server run ID (e.g. MLflow run ID) to resolve model URI + (optional if `model_uri` is provided explicitly). + model_uri: Direct URI to the model artifact (optional if `tracking_id` is provided). + ttl: Time-to-live in seconds. Set -1 to protect from auto-removal. + + Returns: + dict: Deployment info with `container_id`, `container_name`, `model_uri`, `ttl`. + """ return asyncio.run( self._client.deploy_model( model_name=model_name, @@ -612,6 +925,195 @@ def deploy_model( ) ) + def remove_model(self, model_name: str = None, force: bool = False): + """Remove a deployed CogStack Model Serve instance. + + Args: + model_name: Name of the model to remove. Uses `default_model` if not provided. + force: Force removal even if model is not running (for cleanup of stopped containers). + + Returns: + None on success. + """ + return asyncio.run(self._client.remove_model(model_name=model_name, force=force)) + + def list_on_demand_configs(self, include_disabled: bool = False): + """List on-demand model configurations. + + Args: + include_disabled: Include disabled (soft-deleted) configurations. + + Returns: + dict: Response with 'configs' list and 'total' count. + """ + return asyncio.run(self._client.list_on_demand_configs(include_disabled=include_disabled)) + + def get_on_demand_config(self, model_name: str): + """Get the enabled on-demand configuration for a model given its name. + + Args: + model_name: The model name to fetch the configuration for. + + Returns: + dict: Configuration details. + """ + return asyncio.run(self._client.get_on_demand_config(model_name=model_name)) + + def get_on_demand_config_history(self, model_name: str): + """Get all versions (enabled and disabled) of a configuration for a model given its name. + + Args: + model_name: The model name to fetch the configuration history for. + Returns: + dict: Response with 'configs' list and 'total' count. + """ + return asyncio.run(self._client.get_on_demand_config_history(model_name=model_name)) + + def create_on_demand_config( + self, + model_name: str, + tracking_id: str = None, + model_uri: str = None, + idle_ttl: int = None, + description: str = None, + deploy: dict = None, + replace_enabled: bool = True, + inherit_config: bool = True, + ): + """Create a new on-demand model configuration. + + The model will be available for auto-deployment when requests target its `model_name`. + Only one **enabled** configuration can exist per `model_name` at a time. + + You can specify the model using either `tracking_id` (e.g. MLflow run ID) or `model_uri` + (direct artifact URI), or both. While `model_uri` takes precedence, if only `tracking_id` is + provided, it will be resolved to a `model_uri`. If `require_model_uri_validation` is set to + true in the config, the resolved or explicit URI will be validated against the tracking + server. + + Set `replace_enabled=true` to atomically disable any existing config and create the new one, + preserving the old config in history for potential rollback and replacing the original as + the enabled config. If `replace_enabled=false` and an enabled config already exists for the + same `model_name`, a `409 Conflict` error is returned. + + Set `inherit_config=true` to copy settings from the currently enabled config for this model. + If no enabled config exists, a new config will be created as long as the mandatory fields + are provided (i.e. `model_uri` or `tracking_id`). Any explicitly provided fields will + override the inherited values. When creating a config from scratch is desired, it is + recommended to set `inherit_config=false` to avoid confusion and explicitly provide + configuration fields as needed. + + Args: + model_name: Docker service/container name for the model. + tracking_id: Tracking server run ID to resolve model URI + (optional if `model_uri` is provided explicitly). + model_uri: Direct URI to the model artifact (optional if `tracking_id` is provided). + idle_ttl: Idle TTL in seconds. + description: Human-readable description. + deploy: Deployment specification dict with resources, etc. + replace_enabled: Replace existing enabled config (creates version history). + inherit_config: Inherit settings from existing config if available. + + Returns: + dict: Created configuration. + """ + return asyncio.run( + self._client.create_on_demand_config( + model_name=model_name, + tracking_id=tracking_id, + model_uri=model_uri, + idle_ttl=idle_ttl, + description=description, + deploy=deploy, + replace_enabled=replace_enabled, + inherit_config=inherit_config, + ) + ) + + def update_on_demand_config( + self, + model_name: str, + tracking_id: str = None, + model_uri: str = None, + idle_ttl: int = None, + description: str = None, + deploy: dict = None, + clear_tracking_id: bool = False, + clear_idle_ttl: bool = False, + clear_description: bool = False, + clear_deploy: bool = False, + ): + """Update an existing on-demand model configuration in-place without creating a new version. + + Only provided fields will be updated. Use `clear_*` flags to explicitly unset optional + fields. This does NOT create version history. To preserve history, use the client's + `create_on_demand_config` method with `replace_enabled=true`. + + You can update the model reference using `tracking_id`, `model_uri`, or both. While + `model_uri` takes precedence, if only `tracking_id` is provided, it will be resolved to a + `model_uri`. If `require_model_uri_validation` is set to true in the config, the resolved or + explicit URI will be validated against the tracking server. Note that updating `tracking_id` + results in updating `model_uri` as well if the latter is not explicitly provided. + + Note: If a model is currently running, changes will only take effect on the next deployment. + + Args: + model_name: Name for the model configuration to update. + tracking_id: New tracking ID (). + model_uri: New model URI. + idle_ttl: New idle TTL in seconds. + description: New description. + deploy: New deployment specification. + clear_tracking_id: Clear tracking_id field. + clear_idle_ttl: Clear idle_ttl (use system default). + clear_description: Clear description field. + clear_deploy: Clear deployment specification. + + Returns: + dict: Updated configuration. + """ + return asyncio.run( + self._client.update_on_demand_config( + model_name=model_name, + tracking_id=tracking_id, + model_uri=model_uri, + idle_ttl=idle_ttl, + description=description, + deploy=deploy, + clear_tracking_id=clear_tracking_id, + clear_idle_ttl=clear_idle_ttl, + clear_description=clear_description, + clear_deploy=clear_deploy, + ) + ) + + def delete_on_demand_config(self, model_name: str): + """Soft-delete (disable) an on-demand model configuration. + + The configuration is preserved in history and can be re-enabled. Does not stop currently + running instances. + + Args: + model_name: Model name for which to disable active configuration. + + Returns: + None on success. + """ + return asyncio.run(self._client.delete_on_demand_config(model_name=model_name)) + + def enable_on_demand_config(self, config_id: int): + """Enable an on-demand configuration by ID. + + Enables a config, disabling any currently enabled config for the same model. + + Args: + config_id: ID of the configuration to enable. + + Returns: + dict: Enabled configuration. + """ + return asyncio.run(self._client.enable_on_demand_config(config_id=config_id)) + def health_check(self): """Check if the Gateway and its components are healthy and responsive. diff --git a/client/poetry.lock b/client/poetry.lock index ad3eff2..213212c 100644 --- a/client/poetry.lock +++ b/client/poetry.lock @@ -1,5 +1,17 @@ # This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. +[[package]] +name = "annotated-types" +version = 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name = "tenacity" version = "9.1.2" @@ -506,7 +833,22 @@ files = [ {file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"}, {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"}, ] -markers = {main = "python_version < \"3.13\"", dev = "python_version == \"3.10\""} +markers = {main = "python_version < \"3.13\""} + +[[package]] +name = "typing-inspection" +version = "0.4.2" +description = "Runtime typing introspection tools" +optional = false +python-versions = ">=3.9" +groups = ["dev"] +files = [ + {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, + {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, +] + +[package.dependencies] +typing-extensions = ">=4.12.0" [[package]] name = "virtualenv" @@ -532,4 +874,4 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess [metadata] lock-version = "2.1" python-versions = ">=3.10" -content-hash = "2f626c40230445fdfbad46c45570ec788c84e4d00851ddb371770db1dcd718d8" +content-hash = "b450f3d5840cedab5c25ca0a0181d84d8118ba26c54575340435e863b2f93547" diff --git a/client/pyproject.toml b/client/pyproject.toml index 5b9fe78..7d448e9 100644 --- a/client/pyproject.toml +++ b/client/pyproject.toml @@ -36,6 +36,7 @@ pre-commit = "^4.2.0" pytest = "^8.4.1" pytest-asyncio = "^1.0.0" pytest-mock = "^3.14.1" +sqlmodel = "^0.0.22" [tool.poetry.requires-plugins] poetry-dynamic-versioning = { version = ">=1.0.0,<2.0.0", extras = ["plugin"] } diff --git a/cogstack_model_gateway/common/config.py b/cogstack_model_gateway/common/config.py deleted file mode 100644 index 89131e2..0000000 --- a/cogstack_model_gateway/common/config.py +++ /dev/null @@ -1,112 +0,0 @@ -import json -import logging -import os - -from dotenv import load_dotenv - -log = logging.getLogger("cmg.common") - -CONFIG_FILE = os.getenv("CONFIG_FILE", "config.json") -ACCEPTED_ENVIRONMENT_VARIABLES = { - "cms": { - "CMS_HOST_URL": "", - "CMS_PROJECT_NAME": "cms", - "CMS_SERVER_PORT": "8000", - }, - "cmg": { - "CMG_DB_USER": "admin", - "CMG_DB_PASSWORD": "admin", - "CMG_DB_NAME": "cmg_tasks", - "CMG_DB_HOST": "postgres", - "CMG_DB_PORT": "5432", - "CMG_OBJECT_STORE_HOST": "minio", - "CMG_OBJECT_STORE_PORT": "9000", - "CMG_OBJECT_STORE_ACCESS_KEY": "admin", - "CMG_OBJECT_STORE_SECRET_KEY": "admin123", - "CMG_OBJECT_STORE_BUCKET_TASKS": "cmg-tasks", - "CMG_OBJECT_STORE_BUCKET_RESULTS": "cmg-results", - "CMG_QUEUE_USER": "admin", - "CMG_QUEUE_PASSWORD": "admin", - "CMG_QUEUE_NAME": "cmg_tasks", - "CMG_QUEUE_HOST": "rabbitmq", - "CMG_QUEUE_PORT": "5672", - "CMG_SCHEDULER_METRICS_PORT": "8001", - "CMG_SCHEDULER_MAX_CONCURRENT_TASKS": "1", - "CMG_RIPPER_METRICS_PORT": "8002", - }, -} - - -# FIXME: Add validation -class Config: - def __init__(self, config: dict): - for key, value in config.items(): - if isinstance(value, dict): - value = Config(value) - setattr(self, key, value) - - def __repr__(self): - return f"{self.__class__.__name__}({self.__dict__})" - - def __bool__(self): - return bool(self.__dict__) - - def __contains__(self, key): - return key in self.__dict__ - - def __len__(self): - return len(self.__dict__) - - def __iter__(self): - return iter(self.__dict__) - - def __eq__(self, other): - if isinstance(other, Config): - return self.__dict__ == other.__dict__ - return False - - def set(self, key: str, value): - if isinstance(value, dict): - value = Config(value) - setattr(self, key, value) - - def to_dict(self): - return { - key: value.to_dict() if isinstance(value, Config) else value - for key, value in self.__dict__.items() - } - - -_config_instance: Config = None - - -def load_config() -> Config: - """Load configuration from the provided JSON file and environment variables.""" - global _config_instance - if _config_instance is None: - try: - with open(CONFIG_FILE) as f: - config = json.load(f) - except FileNotFoundError: - log.warning(f"Config file {CONFIG_FILE} not found.") - config = {} - except json.JSONDecodeError: - log.error(f"Config file {CONFIG_FILE} is not a valid JSON file.") - raise - - load_dotenv() - for key, env_vars in ACCEPTED_ENVIRONMENT_VARIABLES.items(): - config[key] = { - var.replace(f"{key.upper()}_", "", 1).lower(): os.getenv(var, default) - for var, default in env_vars.items() - } - log.info(f"Loaded config: {config}") - _config_instance = Config(config) - return _config_instance - - -def get_config() -> Config: - """Get the current configuration instance.""" - if _config_instance is None: - raise RuntimeError("Config not initialized. Call load_config() first.") - return _config_instance diff --git a/cogstack_model_gateway/common/config/__init__.py b/cogstack_model_gateway/common/config/__init__.py new file mode 100644 index 0000000..e888c04 --- /dev/null +++ b/cogstack_model_gateway/common/config/__init__.py @@ -0,0 +1,143 @@ +import json +import logging +import os + +from dotenv import load_dotenv +from pydantic import ValidationError + +from cogstack_model_gateway.common.config.models import Config + +log = logging.getLogger("cmg.common") + +_config_instance: Config | None = None + + +def _load_json_config(config_file: str) -> dict: + """Load configuration from JSON file.""" + try: + with open(config_file) as f: + config = json.load(f) + log.info(f"Loaded configuration from {config_file}") + return config + except FileNotFoundError: + log.warning(f"Config file {config_file} not found, using defaults.") + return {} + except json.JSONDecodeError: + log.error(f"Config file {config_file} is not a valid JSON file.") + raise + + +def _add_from_env_vars(target: dict, mapping: dict) -> None: + """Recursively construct configuration dict from environment variables. + + Recursively populate `target` from `mapping` where mapping leaf values are environment variable + names. If the env var is present, the corresponding key is set in `target`. + + Example mapping: + { + "db": {"user": "CMG_DB_USER", "host": "CMG_DB_HOST"} + } + """ + for key, val in mapping.items(): + if isinstance(val, dict): + sub = target.setdefault(key, {}) + _add_from_env_vars(sub, val) + else: + if (env_val := os.getenv(val)) is not None: + target[key] = env_val + + +def _create_config_from_env_vars(env_map: dict) -> dict: + """Create a configuration dictionary from environment variables.""" + config: dict = {} + _add_from_env_vars(config, env_map) + return config + + +def _load_env_vars() -> dict: + """Load configuration dict from environment variables, skipping None values.""" + load_dotenv() + + env_map = { + "db": { + "user": "CMG_DB_USER", + "password": "CMG_DB_PASSWORD", + "name": "CMG_DB_NAME", + "host": "CMG_DB_HOST", + "port": "CMG_DB_PORT", + }, + "object_store": { + "host": "CMG_OBJECT_STORE_HOST", + "port": "CMG_OBJECT_STORE_PORT", + "access_key": "CMG_OBJECT_STORE_ACCESS_KEY", + "secret_key": "CMG_OBJECT_STORE_SECRET_KEY", + "bucket_tasks": "CMG_OBJECT_STORE_BUCKET_TASKS", + "bucket_results": "CMG_OBJECT_STORE_BUCKET_RESULTS", + }, + "queue": { + "user": "CMG_QUEUE_USER", + "password": "CMG_QUEUE_PASSWORD", + "name": "CMG_QUEUE_NAME", + "host": "CMG_QUEUE_HOST", + "port": "CMG_QUEUE_PORT", + }, + "scheduler": { + "max_concurrent_tasks": "CMG_SCHEDULER_MAX_CONCURRENT_TASKS", + "metrics_port": "CMG_SCHEDULER_METRICS_PORT", + }, + "ripper": {"interval": "CMG_RIPPER_INTERVAL", "metrics_port": "CMG_RIPPER_METRICS_PORT"}, + } + + return _create_config_from_env_vars(env_map) + + +def load_config(config_file: str | None = "config.json") -> Config: + """Load and validate configuration from JSON file and environment variables. + + This function: + 1. Loads JSON configuration for tasks and models + 2. Loads environment variables for runtime services + 3. Merges them into a unified structure + 4. Validates everything with Pydantic schema + 5. Caches the result for subsequent calls + + Args: + config_file (optional): Path to JSON configuration file (default: "config.json") + + Returns: + Config: Fully validated configuration object + + Raises: + ValidationError: If configuration doesn't match schema + JSONDecodeError: If config file is not valid JSON + """ + global _config_instance + + if _config_instance is None: + json_config, env_config = _load_json_config(config_file), _load_env_vars() + + merged_config = { + **env_config, + "cms": json_config.get("cms", {}), + "models": json_config.get("models", {}), + "labels": json_config.get("labels", {}), + # Only include tracking if explicitly provided in JSON + # Otherwise, the validator will copy from cms.tracking + **({"tracking": json_config["tracking"]} if "tracking" in json_config else {}), + } + + try: + _config_instance = Config.model_validate(merged_config) + log.debug(f"Loaded config: {_config_instance.model_dump_json()}") + except ValidationError as e: + log.error(f"Configuration validation failed: {e}") + raise + + return _config_instance + + +def get_config() -> Config: + """Get the current configuration instance.""" + if _config_instance is None: + raise RuntimeError("Config not initialized. Call load_config() first.") + return _config_instance diff --git a/cogstack_model_gateway/common/config/models.py b/cogstack_model_gateway/common/config/models.py new file mode 100644 index 0000000..0cddff9 --- /dev/null +++ b/cogstack_model_gateway/common/config/models.py @@ -0,0 +1,421 @@ +import re +from typing import Any + +from pydantic import BaseModel, Field, field_validator, model_validator + + +class ResourceLimits(BaseModel): + """Resource limits for Docker containers. + + Follows Docker Compose resource specification format. + """ + + memory: str | None = Field( + None, + description="Memory limit (e.g., '4g', '512m')", + examples=["4g", "512m", "2048m"], + ) + cpus: str | None = Field( + None, + description="CPU limit as string (e.g., '2.0', '0.5')", + examples=["2.0", "1.5", "0.5"], + ) + + @field_validator("memory") + @classmethod + def validate_memory_format(cls, v: str | None) -> str | None: + """Validate memory format matches Docker specification.""" + if v is None: + return v + if not re.match(r"^\d+(\.\d+)?[kmgKMG]?$", v): + raise ValueError( + f"Invalid memory format: {v}. Expected format like '4g', '512m', '2048m'" + ) + return v + + +class DeployResources(BaseModel): + """Resource constraints for container deployment. + + Mirrors Docker Compose deploy.resources specification. + """ + + limits: ResourceLimits | None = Field( + None, description="Maximum resources the container can use" + ) + reservations: ResourceLimits | None = Field( + None, description="Minimum resources guaranteed for the container" + ) + + +class DeploySpec(BaseModel): + """Deployment specification for model containers. + + Mirrors Docker Compose deploy specification. + """ + + resources: DeployResources | None = Field(None, description="Resource limits and reservations") + + +class TrackingMetadata(BaseModel): + """Model metadata from MLflow tracking server. + + Dict representation of mlflow.models.ModelInfo, returned by TrackingClient.get_model_metadata(). + """ + + uuid: str = Field(..., description="Model UUID") + run_id: str = Field(..., description="MLflow run ID that produced the model") + artifact_path: str = Field(..., description="Path to model artifact within the run") + signature: dict[str, Any] = Field(..., description="Model signature (inputs/outputs/params)") + flavors: dict[str, Any] = Field(..., description="Model flavors (e.g. python_function)") + utc_time_created: str = Field(..., description="UTC timestamp when model was created") + mlflow_version: str = Field(..., description="MLflow version used to log the model") + + +class AutoDeployment(BaseModel): + """Auto-deployment configuration for on-demand models.""" + + health_check_timeout: int = Field( + 300, + description="Max time in seconds to wait for a model to become healthy after deployment", + gt=0, + examples=[300, 600], + ) + default_idle_ttl: int = Field( + 3600, + description="Default idle TTL in seconds (if not specified per-model)", + gt=0, + examples=[3600, 7200, 86400], + ) + max_concurrent_deployments: int | None = Field( + None, + description="Maximum number of models that can be deployed concurrently (None = unlimited)", + gt=0, + examples=[3, 5, 10], + ) + deployment_retry_attempts: int = Field( + 2, + description="Number of times to retry a failed deployment", + ge=0, + examples=[0, 1, 2, 3], + ) + require_model_uri_validation: bool = Field( + False, + description="Whether to validate that the model URI exists before creating configs", + ) + + +class ManualDeployment(BaseModel): + """Configuration for manual model deployments via POST /models API.""" + + default_ttl: int = Field( + 86400, + description="Default TTL in seconds for manually deployed models (1 day)", + gt=0, + examples=[3600, 86400, 604800], + ) + allow_ttl_override: bool = Field( + True, + description="Whether users can override the default TTL when deploying models", + ) + max_ttl: int | None = Field( + None, + description="Maximum allowed TTL in seconds (None = unlimited)", + gt=0, + examples=[604800, 2592000], # 1 week, 30 days + ) + require_model_uri_validation: bool = Field( + False, + description="Whether to validate that the model URI exists before deployment", + ) + + +class StaticDeployment(BaseModel): + """Configuration for static/always-on models from CMS stack.""" + + pass + + +class ModelsDeployment(BaseModel): + """Complete deployment configuration for all model types.""" + + auto: AutoDeployment = Field( + default_factory=AutoDeployment, + description="Auto-deployment configuration for on-demand models", + ) + manual: ManualDeployment = Field( + default_factory=ManualDeployment, + description="Configuration for manual model deployments", + ) + static: StaticDeployment = Field( + default_factory=StaticDeployment, + description="Configuration for static model management", + ) + use_ip_addresses: bool = Field( + False, + description=( + "Use IP addresses instead of container names when attempting to connect to CogStack" + " Model Serve instances. Set to true when components (scheduler, tests) run outside" + " Docker network." + ), + ) + + +class ModelsConfig(BaseModel): + """Model-related configuration.""" + + deployment: ModelsDeployment = Field( + default_factory=ModelsDeployment, + description="Deployment configuration for all model types", + ) + + +class HealthCheckConfig(BaseModel): + """Health check configuration for model containers.""" + + interval: int = Field(90, description="Health check interval in seconds", gt=0) + timeout: int = Field(10, description="Health check timeout in seconds", gt=0) + retries: int = Field(3, description="Health check retries", ge=0) + start_period: int = Field(60, description="Health check start period in seconds", gt=0) + + +class S3Config(BaseModel): + """S3/MinIO configuration for artifact storage.""" + + access_key_id: str | None = Field(None, description="S3/MinIO access key") + secret_access_key: str | None = Field(None, description="S3/MinIO secret access key") + endpoint_url: str = Field("http://minio:9000", description="S3/MinIO endpoint URL") + + +class AuthConfig(BaseModel): + """Authentication configuration for model containers.""" + + user_enabled: bool = Field(False, description="Enable user authentication") + jwt_secret: str | None = Field(None, description="JWT secret for token signing") + access_token_expire_seconds: int = Field(3600, description="Access token expiration time", gt=0) + database_url: str = Field( + "sqlite+aiosqlite:///./cms-users.db", description="Authentication database URL" + ) + + +class ProxyConfig(BaseModel): + """Proxy configuration for model containers.""" + + http_proxy: str | None = Field(None, description="HTTP proxy URL") + https_proxy: str | None = Field(None, description="HTTPS proxy URL") + no_proxy: str = Field( + "mlflow-ui,minio,graylog,auth-db,localhost", + description="Comma-separated list of hosts to exclude from proxying", + ) + + +class DatabaseConfig(BaseModel): + """Database configuration.""" + + user: str = Field("admin", description="Database username") + password: str = Field("admin", description="Database password") + name: str = Field("cmg_tasks", description="Database name") + host: str = Field("db", description="Database host") + port: int = Field(5432, description="Database port") + + +class ObjectStoreConfig(BaseModel): + """Object store configuration.""" + + host: str = Field("object-store", description="Object store host") + port: int = Field(9000, description="Object store port") + access_key: str = Field("admin", description="Object store access key") + secret_key: str = Field("admin123", description="Object store secret key") + bucket_tasks: str = Field("cmg-tasks", description="Bucket for task payloads") + bucket_results: str = Field("cmg-results", description="Bucket for task results") + + +class QueueConfig(BaseModel): + """Message queue configuration.""" + + user: str = Field("admin", description="Queue username") + password: str = Field("admin", description="Queue password") + name: str = Field("cmg_tasks", description="Queue name") + host: str = Field("queue", description="Queue host") + port: int = Field(5672, description="Queue port") + + +class SchedulerConfig(BaseModel): + """Scheduler service configuration.""" + + max_concurrent_tasks: int = Field(1, description="Max concurrent tasks") + metrics_port: int = Field(8001, description="Prometheus metrics port") + + +class RipperConfig(BaseModel): + """Ripper service configuration.""" + + interval: int = Field(60, description="Ripper interval in seconds") + metrics_port: int = Field(8002, description="Prometheus metrics port") + + +class TrackingConfig(BaseModel): + """Tracking server configuration. + + Used by: + - CMG services (gateway/scheduler) to connect to tracking server for fetching model metadata + - CMS containers as environment variables for logging training runs and metrics + """ + + uri: str = Field("http://mlflow-ui:5000", description="Tracking server URI") + username: str = Field("admin", description="Tracking server username") + password: str = Field("password", description="Tracking server password") + s3: S3Config = Field(default_factory=S3Config, description="Tracking server artifact store") + enable_system_metrics_logging: bool = Field( + True, description="Enable system metrics logging (for CMS containers)" + ) + + +class LabelsConfig(BaseModel): + """Docker labels used by CogStack Model Gateway. + + These labels are used for: + - Identifying CogStack ModelServe containers (CMS labels) + - Marking containers as managed by the gateway (CMG labels) + - Tracking TTL and other metadata + """ + + # CMS-related labels (for discovering static models) + cms_model_label: str = Field( + "org.cogstack.model-serve", + description="Label to identify CogStack ModelServe containers", + ) + cms_model_uri_label: str = Field( + "org.cogstack.model-serve.uri", + description="Label storing the model URI on CMS containers", + ) + + # CMG-related labels (for managing models deployed through the gateway) + deployment_type_label: str = Field( + "org.cogstack.model-gateway.deployment-type", + description="Label storing deployment type (auto/manual/static)", + ) + managed_by_label: str = Field( + "org.cogstack.model-gateway.managed-by", + description="Label to identify which system manages a container", + ) + managed_by_value: str = Field( + "cmg", + description="Value for managed_by_label for CMG-managed containers", + ) + ttl_label: str = Field( + "org.cogstack.model-gateway.ttl", + description="Label storing TTL (time-to-live) in seconds for auto-deployed models", + ) + + +class CMSConfig(BaseModel): + """CogStack ModelServe related configuration.""" + + host_url: str = Field("https://proxy/cms", description="CMS host URL") + project_name: str = Field("cms", description="CMS Docker Compose project name") + server_port: int = Field(8000, description="CMS server port") + network: str = Field("cogstack-model-serve_cms", description="CMS Docker network") + image: str = Field( + "cogstacksystems/cogstack-modelserve:latest", + description="Docker image for CogStack ModelServe", + ) + volumes: dict[str, str] = Field( + default_factory=lambda: {"retrained-models": "/app/model/retrained"}, + description="Volume mappings for model containers (volume_name: container_path)", + ) + gelf_input_uri: str = Field("http://graylog:12201", description="GELF input URI for logging") + enable_evaluation_apis: bool = Field(True, description="Enable CMS evaluation APIs") + enable_previews_apis: bool = Field(True, description="Enable CMS preview APIs") + enable_training_apis: bool = Field(True, description="Enable CMS training APIs") + tracking: TrackingConfig = Field( + default_factory=TrackingConfig, description="Model tracking configuration" + ) + auth: AuthConfig = Field(default_factory=AuthConfig, description="Authentication configuration") + proxy: ProxyConfig = Field(default_factory=ProxyConfig, description="Proxy configuration") + health_check: HealthCheckConfig = Field( + default_factory=HealthCheckConfig, description="Health check configuration" + ) + + +class Config(BaseModel): + """Root configuration schema for CogStack Model Gateway.""" + + cms: CMSConfig = Field(default_factory=CMSConfig, description="CogStack ModelServe config") + + db: DatabaseConfig = Field(default_factory=DatabaseConfig, description="Database configuration") + object_store: ObjectStoreConfig = Field( + default_factory=ObjectStoreConfig, description="Object store configuration" + ) + queue: QueueConfig = Field( + default_factory=QueueConfig, description="Message queue configuration" + ) + scheduler: SchedulerConfig = Field( + default_factory=SchedulerConfig, description="Scheduler configuration" + ) + ripper: RipperConfig = Field(default_factory=RipperConfig, description="Ripper configuration") + tracking: TrackingConfig = Field( + default_factory=TrackingConfig, description="Model tracking server configuration" + ) + + models: ModelsConfig = Field( + default_factory=ModelsConfig, description="Model deployment and discovery configuration" + ) + labels: LabelsConfig = Field( + default_factory=LabelsConfig, description="Docker labels configuration" + ) + + # Runtime managers (populated after initialization) + database_manager: object | None = Field( + None, description="Database manager instance", exclude=True + ) + task_object_store_manager: object | None = Field( + None, description="Task object store manager instance", exclude=True + ) + results_object_store_manager: object | None = Field( + None, description="Results object store manager instance", exclude=True + ) + queue_manager: object | None = Field(None, description="Queue manager instance", exclude=True) + task_manager: object | None = Field(None, description="Task manager instance", exclude=True) + model_manager: object | None = Field(None, description="Model manager instance", exclude=True) + tracking_client: object | None = Field( + None, description="Model tracking client instance", exclude=True + ) + + _was_tracking_explicit: bool = False + + @model_validator(mode="before") + @classmethod + def mark_explicit_tracking(cls, data: dict) -> dict: + """Mark if tracking config was explicitly provided before validation.""" + if isinstance(data, dict): + if "tracking" in data: + data["_was_tracking_explicit"] = True + return data + + @model_validator(mode="after") + def default_tracking_from_cms(self) -> "Config": + """Use cms.tracking as default tracking config if not explicitly provided. + + This allows a single tracking server config (cms.tracking) to be used for both + CMS containers and CMG services when they point to the same server. + """ + if not self._was_tracking_explicit: + self.tracking = self.cms.tracking.model_copy(deep=True) + return self + + def get_default_idle_ttl(self) -> int: + """Get the default idle TTL for auto-deployed on-demand models.""" + return self.models.deployment.auto.default_idle_ttl + + def get_auto_deployment_config(self) -> AutoDeployment: + """Get auto-deployment behaviour configuration.""" + return self.models.deployment.auto + + def get_manual_deployment_config(self) -> ManualDeployment: + """Get manual deployment configuration.""" + return self.models.deployment.manual + + def get_static_deployment_config(self) -> StaticDeployment: + """Get static model discovery configuration.""" + return self.models.deployment.static diff --git a/cogstack_model_gateway/common/containers.py b/cogstack_model_gateway/common/containers.py index f2fb0a5..434a4ac 100644 --- a/cogstack_model_gateway/common/containers.py +++ b/cogstack_model_gateway/common/containers.py @@ -1,10 +1,84 @@ -IS_MODEL_LABEL = "org.cogstack.model-serve" -MODEL_URI_LABEL = "org.cogstack.model-serve.uri" +import logging -TTL_LABEL = "org.cogstack.model-gateway.ttl" -MANAGED_BY_LABEL = "org.cogstack.model-gateway.managed-by" +import docker +from docker.models.containers import Container + +from cogstack_model_gateway.common.config import get_config +from cogstack_model_gateway.common.models import ModelDeploymentType PROJECT_NAME_LABEL = "com.docker.compose.project" SERVICE_NAME_LABEL = "com.docker.compose.service" -MANAGED_BY_LABEL_VALUE = "cmg" +log = logging.getLogger("cmg.common") + + +def get_models(all: bool = False, managed_only: bool = False) -> list[dict]: + """Get model containers with filtering. + + Args: + all: If True, includes paused, restarting, and stopped containers. + If False, only running (default). + managed_only: If True, only CMG-managed containers (excludes 'static' deployments). + + Returns: + List of dicts with: service_name, model_uri, deployment_type, ip_address, container object. + + Raises: + docker.errors.APIError: If Docker API call fails. + """ + config = get_config() + client = docker.from_env() + + containers = client.containers.list( + all=all, + filters={ + "label": [ + config.labels.cms_model_label, + f"{PROJECT_NAME_LABEL}={config.cms.project_name}", + *( + [f"{config.labels.managed_by_label}={config.labels.managed_by_value}"] + if managed_only + else [] + ), + ] + }, + ) + + return [ + { + "service_name": c.labels.get(SERVICE_NAME_LABEL, c.name), + "model_uri": c.labels.get(config.labels.cms_model_uri_label), + "deployment_type": ( + c.labels.get(config.labels.deployment_type_label) + or ModelDeploymentType.STATIC.value + ), + "ip_address": c.attrs.get("NetworkSettings", {}) + .get("Networks", {}) + .get(config.cms.network, {}) + .get("IPAddress"), + "container": c, + } + for c in containers + ] + + +def stop_and_remove_model_container(container: Container) -> None: + """Stop and remove a model container using the Docker client. + + Args: + container: Docker container object to remove. + + Raises: + docker.errors.APIError: If container removal fails. + """ + log.info( + f"Stopping and removing container '{container.name}'" + f" (id={container.id}, status={container.status})" + ) + + if container.status == "running": + container.stop() + log.debug(f"Container {container.name} stopped") + + container.remove() + log.debug(f"Successfully removed container: {container.name}") diff --git a/cogstack_model_gateway/common/db.py b/cogstack_model_gateway/common/db.py index b8be02d..74485c9 100644 --- a/cogstack_model_gateway/common/db.py +++ b/cogstack_model_gateway/common/db.py @@ -6,7 +6,7 @@ log = logging.getLogger("cmg.common") -DEFAULT_POSTGRES_URL = "postgresql+psycopg2://user:password@postgres/cmg_tasks" +DEFAULT_POSTGRES_URL = "postgresql+psycopg2://user:password@db/cmg_tasks" class DatabaseManager: diff --git a/cogstack_model_gateway/common/exceptions.py b/cogstack_model_gateway/common/exceptions.py index 162151c..6fcaf60 100644 --- a/cogstack_model_gateway/common/exceptions.py +++ b/cogstack_model_gateway/common/exceptions.py @@ -61,3 +61,15 @@ def is_timeout_error(exception: Exception): retry=retry_if_exception(is_timeout_error), before_sleep=before_sleep_log(log, logging.WARNING), ) + + +class ConfigValidationError(ValueError): + """Raised when configuration validation fails (400 Bad Request).""" + + pass + + +class ConfigConflictError(ValueError): + """Raised when a configuration conflicts with an existing one (409 Conflict).""" + + pass diff --git a/cogstack_model_gateway/common/models.py b/cogstack_model_gateway/common/models.py new file mode 100644 index 0000000..4e98c0d --- /dev/null +++ b/cogstack_model_gateway/common/models.py @@ -0,0 +1,604 @@ +import json +import logging +import re +from datetime import UTC, datetime +from enum import Enum +from functools import wraps + +from dateutil import parser +from pydantic import ConfigDict, ValidationError, computed_field, field_validator +from sqlalchemy import Index, text +from sqlalchemy.exc import IntegrityError +from sqlmodel import Field, Session, SQLModel, select + +from cogstack_model_gateway.common.config import get_config +from cogstack_model_gateway.common.config.models import DeploySpec +from cogstack_model_gateway.common.db import DatabaseManager +from cogstack_model_gateway.common.exceptions import ConfigConflictError, ConfigValidationError + +log = logging.getLogger("cmg.common") + + +class ModelDeploymentType(Enum): + AUTO = "auto" + MANUAL = "manual" + STATIC = "static" + + +class Model(SQLModel, table=True): + """Deployed model server record for lifecycle and usage management.""" + + model_name: str = Field(primary_key=True, description="Unique model service name") + deployment_type: ModelDeploymentType = Field( + description="Type of deployment: 'auto', 'manual', or 'static'" + ) + created_at: str = Field( + default_factory=lambda: datetime.now(UTC).isoformat(), + description="When the model record was created (UTC, ISO format)", + ) + ready: bool = Field( + default=False, + description="Whether the model deployment is complete and ready to serve requests", + ) + last_used_at: str = Field( + default_factory=lambda: datetime.now(UTC).isoformat(), + description="Last time a request for this model was received (UTC, ISO format)", + ) + idle_ttl: int | None = Field(default=None, description="Idle TTL in seconds") + + __table_args__ = ( + Index("ix_model_usage_last_used_at", "last_used_at"), + Index("ix_model_usage_deployment_type", "deployment_type"), + ) + + +class OnDemandModelConfig(SQLModel, table=True): + """Persistent configuration for on-demand models with version history. + + Supports soft delete via the `enabled` field, allowing multiple historical versions of a + configuration for the same `model_name`. A partial unique index ensures only one enabled + configuration exists per `model_name` at any time. + """ + + model_config = ConfigDict(from_attributes=True) + + id: int | None = Field(default=None, primary_key=True) + model_name: str = Field(index=True, description="Docker service/container name for the model") + model_uri: str = Field(description="URI pointing to the model artifact (e.g. MLflow model URI)") + tracking_id: str | None = Field( + default=None, + description="Tracking server run ID (e.g. MLflow run ID) that produced this model", + ) + idle_ttl: int = Field( + description="Idle TTL in seconds (time after which an idle model is removed)", gt=0 + ) + description: str | None = Field( + default=None, description="Human-readable description of the model" + ) + deploy_spec_json: str | None = Field( + default=None, + description="JSON-encoded deployment specification (resources, placement, etc.)", + exclude=True, # Don't serialize this internal field + ) + enabled: bool = Field(default=True, description="Whether this config is active") + created_at: str = Field( + default_factory=lambda: datetime.now(UTC).isoformat(), + description="When the record was created (UTC, ISO format)", + ) + updated_at: str = Field( + default_factory=lambda: datetime.now(UTC).isoformat(), + description="When the record was last updated (UTC, ISO format)", + ) + + __table_args__ = ( + # Partial unique index: only one enabled config per model_name + Index( + "ix_on_demand_unique_enabled", + "model_name", + unique=True, + postgresql_where=text("enabled = true"), + sqlite_where=text("enabled = 1"), + ), + ) + + @field_validator("model_name", mode="before") + @classmethod + def validate_model_name(cls, v: str) -> str: + """Validate model name follows Docker naming constraints. + + The provided model name will be used as the Docker container/service name. + + Docker container names must: + - Start with alphanumeric character + - Contain only alphanumeric, underscore, period, or hyphen + """ + if not re.match(r"^[a-zA-Z0-9][a-zA-Z0-9_.-]*$", v): + raise ValueError( + f"Invalid model name: {v}. Must start with alphanumeric and contain " + "only alphanumeric, underscore, period, or hyphen characters" + ) + if len(v) > 255: + raise ValueError(f"Service name too long: {v}. Maximum length is 255 characters") + return v + + @field_validator("model_uri", mode="before") + @classmethod + def validate_model_uri(cls, v: str) -> str: + """Validate model URI format.""" + if not v or not v.strip(): + raise ValueError("Model URI cannot be empty") + return v.strip() + + @computed_field + @property + def deploy(self) -> DeploySpec | None: + """Computed field that deserializes deploy_spec_json for API responses.""" + if not self.deploy_spec_json: + return None + return DeploySpec.model_validate(json.loads(self.deploy_spec_json)) + + +class ModelManager: + def __init__(self, db_manager: DatabaseManager): + self.db_manager = db_manager + + @staticmethod + def with_db_session(func): + """Decorator to provide a database session to a method.""" + + @wraps(func) + def wrapper(self: "ModelManager", *args, **kwargs): + with self.db_manager.get_session() as session: + return func(self, session, *args, **kwargs) + + return wrapper + + @with_db_session + def create_model( + self, + session: Session, + model_name: str, + deployment_type: ModelDeploymentType, + idle_ttl: int | None = None, + ready: bool = False, + last_used_at: str | None = None, + ) -> Model: + """Create a new model record. + + Args: + session: Database session + model_name: Unique model/container name + deployment_type: Either 'auto', 'manual', or 'static' + idle_ttl: Idle TTL in seconds + ready: Whether the model deployment is complete and ready to serve requests + last_used_at: Last used timestamp in ISO format (UTC) + + Returns: + Created Model instance + + Raises: + ValueError: If a model with this name already exists in the database + """ + model = Model( + model_name=model_name, + deployment_type=deployment_type, + ready=ready, + last_used_at=last_used_at, + idle_ttl=idle_ttl, + ) + try: + session.add(model) + session.commit() + session.refresh(model) + log.debug( + "Created model record: %s (type=%s, idle_ttl=%s)", + model_name, + deployment_type.value, + idle_ttl, + ) + return model + except IntegrityError as e: + session.rollback() + # Check if it's a primary key/unique constraint violation on model_name + error_msg = str(e.orig).lower() if hasattr(e, "orig") else str(e).lower() + if "model_name" in error_msg or "model_pkey" in error_msg: + log.warning("Model '%s' already exists in database", model_name) + raise ValueError(f"Model '{model_name}' already exists") from e + + log.error("Unexpected IntegrityError creating model '%s': %s", model_name, e) + raise + + @with_db_session + def get_model(self, session: Session, model_name: str) -> Model | None: + """Get a model record by name returning None if not found.""" + model = session.get(Model, model_name) + if not model: + log.debug("Model record not found: %s", model_name) + return None + return model + + @with_db_session + def get_model_deployment_type( + self, session: Session, model_name: str + ) -> ModelDeploymentType | None: + """Get a model's deployment type by name returning None if not found.""" + model = session.get(Model, model_name) + if not model: + log.debug("Model record not found: %s", model_name) + return None + return model.deployment_type + + @with_db_session + def mark_model_ready(self, session: Session, model_name: str) -> Model | None: + """Mark a model as ready returning None if not found.""" + model = session.get(Model, model_name) + if not model: + log.warning("Model record not found: %s", model_name) + return None + + model.ready = True + log.debug("Marked model as ready: %s", model_name) + + session.add(model) + session.commit() + session.refresh(model) + return model + + @with_db_session + def record_model_usage(self, session: Session, model_name: str) -> Model | None: + """Update model's last used timestamp to now returning None if the model is not found.""" + model = session.get(Model, model_name) + if not model: + log.warning("Model record not found: %s", model_name) + return None + + model.last_used_at = datetime.now(UTC).isoformat() + log.debug("Updated last_used_at for model: %s", model_name) + + session.add(model) + session.commit() + session.refresh(model) + return model + + @with_db_session + def delete_model(self, session: Session, model_name: str) -> bool: + """Delete model record, returning True if deleted and False if not found.""" + model = session.get(Model, model_name) + if not model: + log.warning("Model record not found for deletion: %s", model_name) + return False + + session.delete(model) + session.commit() + log.debug("Deleted model record: %s", model_name) + return True + + @with_db_session + def is_model_idle(self, session: Session, model_name: str) -> tuple[bool, float]: + """Check if a model has exceeded its idle TTL. + + Returns: + Tuple of (is_idle: bool, idle_seconds: float) + """ + model = session.get(Model, model_name) + if not model: + log.warning("Model record not found: %s", model_name) + return False, 0.0 + + if model.idle_ttl is None: + return False, 0.0 + + idle_seconds = (datetime.now(UTC) - parser.isoparse(model.last_used_at)).total_seconds() + is_idle = idle_seconds >= model.idle_ttl + + log.debug( + "Model %s idle check: %s (idle_time=%.0fs, ttl=%ss)", + model_name, + is_idle, + idle_seconds, + model.idle_ttl, + ) + return is_idle, idle_seconds + + @with_db_session + def create_on_demand_config( + self, + session: Session, + model_name: str, + model_uri: str | None = None, + tracking_id: str | None = None, + idle_ttl: int | None = None, + description: str | None = None, + deploy_spec: dict | None = None, + replace_enabled: bool = True, + inherit_config: bool = True, + ) -> OnDemandModelConfig: + """Create a new on-demand model configuration. + + Args: + session: Database session + model_name: Unique service/container name for the model + model_uri: URI pointing to the model artifact (optional if `inherit_config=True`) + tracking_id: Tracking server run ID (optional, for reference/audit) + idle_ttl: Idle TTL in seconds (optional, inherits or uses default) + description: Human-readable description (optional) + deploy_spec: Deployment specification dict (optional) + replace_enabled: If True and an enabled config exists, disable it first (preserving it + in history) and create the new one atomically to replace the original as the enabled + config. If False and an enabled config exists, raises `ConfigConflictError`. + inherit_config: If True, inherit settings from the currently enabled config for this + `model_name`, if one exists. If no config with the same name exists, attempt to + create a new one, as long as the mandatory fields are provided (i.e. `model_uri` and + `idle_ttl`). Explicitly provided values override inherited ones. + + Returns: + Created OnDemandModelConfig instance + + Raises: + ConfigValidationError: If required fields are missing or invalid + ConfigConflictError: If an enabled config already exists and `replace_enabled=False` + """ + existing = session.exec( + select(OnDemandModelConfig).where( + OnDemandModelConfig.model_name == model_name, + OnDemandModelConfig.enabled == True, # noqa: E712 + ) + ).first() + + if inherit_config and existing: + model_uri = existing.model_uri if model_uri is None else model_uri + tracking_id = existing.tracking_id if tracking_id is None else tracking_id + idle_ttl = existing.idle_ttl if idle_ttl is None else idle_ttl + description = existing.description if description is None else description + deploy_spec = ( + json.loads(existing.deploy_spec_json) + if deploy_spec is None and existing.deploy_spec_json + else deploy_spec + ) + + if model_uri is None: + raise ConfigValidationError( + "model_uri is required: either provide it explicitly or use inherit_config=True to" + " copy from the existing configuration (only possible when an enabled one exists)" + ) + + # Use default idle TTL if not provided and not inherited (e.g. no existing config found) + idle_ttl = get_config().get_default_idle_ttl() if idle_ttl is None else idle_ttl + + if existing: + if not replace_enabled: + raise ConfigConflictError( + f"An enabled on-demand config for '{model_name}' already exists" + ) + + existing.enabled = False + existing.updated_at = datetime.now(UTC).isoformat() + session.add(existing) + log.info( + "Disabled existing on-demand config for replacement: %s (id=%d)", + model_name, + existing.id, + ) + + try: + config = OnDemandModelConfig.model_validate( + { + "model_name": model_name, + "model_uri": model_uri, + "tracking_id": tracking_id, + "idle_ttl": idle_ttl, + "description": description, + "deploy_spec_json": json.dumps(deploy_spec) if deploy_spec else None, + "enabled": True, + } + ) + except ValidationError as e: + raise ConfigValidationError(f"Invalid on-demand model config: {e}") from e + + session.add(config) + session.commit() + session.refresh(config) + log.info( + "Created on-demand config: %s (uri=%s, tracking_id=%s, idle_ttl=%s)", + model_name, + model_uri, + tracking_id, + idle_ttl, + ) + return config + + @with_db_session + def get_on_demand_config(self, session: Session, model_name: str) -> OnDemandModelConfig | None: + """Get the enabled on-demand config for a model name. + + Returns None if no enabled config exists for this model. + """ + config = session.exec( + select(OnDemandModelConfig).where( + OnDemandModelConfig.model_name == model_name, + OnDemandModelConfig.enabled == True, # noqa: E712 + ) + ).first() + if not config: + log.debug("No enabled on-demand config found for: %s", model_name) + return None + return config + + @with_db_session + def get_on_demand_config_by_id( + self, session: Session, config_id: int + ) -> OnDemandModelConfig | None: + """Get an on-demand config by its ID (regardless of enabled status).""" + return session.get(OnDemandModelConfig, config_id) + + @with_db_session + def list_on_demand_configs( + self, session: Session, include_disabled: bool = False + ) -> list[OnDemandModelConfig]: + """List on-demand model configurations. + + Args: + session: Database session + include_disabled: If True, include disabled (soft-deleted) configs + + Returns: + List of OnDemandModelConfig instances + """ + statement = select(OnDemandModelConfig) + if not include_disabled: + statement = statement.where(OnDemandModelConfig.enabled == True) # noqa: E712 + statement = statement.order_by(OnDemandModelConfig.model_name) + return list(session.exec(statement).all()) + + @with_db_session + def get_on_demand_config_history( + self, session: Session, model_name: str + ) -> list[OnDemandModelConfig]: + """Get all versions (enabled and disabled) for a model name. + + Returns configs ordered by created_at descending (newest first). + """ + statement = ( + select(OnDemandModelConfig) + .where(OnDemandModelConfig.model_name == model_name) + .order_by(OnDemandModelConfig.created_at.desc()) + ) + return list(session.exec(statement).all()) + + @with_db_session + def update_on_demand_config( + self, + session: Session, + model_name: str, + model_uri: str | None = None, + tracking_id: str | None = None, + idle_ttl: int | None = None, + description: str | None = None, + deploy_spec: dict | None = None, + clear_tracking_id: bool = False, + clear_idle_ttl: bool = False, + clear_description: bool = False, + clear_deploy_spec: bool = False, + ) -> OnDemandModelConfig | None: + """Update an existing on-demand model configuration. + + Only updates fields that are explicitly provided. Use clear_* flags to set + optional fields to None. + + Args: + session: Database session + model_name: Model name of the config to update + model_uri: New model URI + tracking_id: New tracking ID + idle_ttl: New idle TTL + description: New description + deploy_spec: New deployment specification dict + clear_*: Set corresponding field to None + + Returns: + Updated OnDemandModelConfig or None if not found + """ + config = session.exec( + select(OnDemandModelConfig).where( + OnDemandModelConfig.model_name == model_name, + OnDemandModelConfig.enabled == True, # noqa: E712 + ) + ).first() + + if not config: + log.warning("No enabled on-demand config found for update: %s", model_name) + return None + + config.model_uri = model_uri if model_uri is not None else config.model_uri + config.tracking_id = tracking_id if tracking_id is not None else config.tracking_id + config.idle_ttl = idle_ttl if idle_ttl is not None else config.idle_ttl + config.description = description if description is not None else config.description + config.deploy_spec_json = ( + json.dumps(deploy_spec) if deploy_spec is not None else config.deploy_spec_json + ) + + config.tracking_id = None if clear_tracking_id else config.tracking_id + config.idle_ttl = get_config().get_default_idle_ttl() if clear_idle_ttl else config.idle_ttl + config.description = None if clear_description else config.description + config.deploy_spec_json = None if clear_deploy_spec else config.deploy_spec_json + + config.updated_at = datetime.now(UTC).isoformat() + + session.add(config) + session.commit() + session.refresh(config) + log.info("Updated on-demand config: %s", model_name) + return config + + @with_db_session + def disable_on_demand_config(self, session: Session, model_name: str) -> bool: + """Soft-delete an on-demand config by setting enabled=False. + + Returns True if disabled, False if no enabled config was found. + """ + config = session.exec( + select(OnDemandModelConfig).where( + OnDemandModelConfig.model_name == model_name, + OnDemandModelConfig.enabled == True, # noqa: E712 + ) + ).first() + + if not config: + log.warning("No enabled on-demand config found for disable: %s", model_name) + return False + + config.enabled = False + config.updated_at = datetime.now(UTC).isoformat() + + session.add(config) + session.commit() + log.info("Disabled on-demand config: %s (id=%d)", model_name, config.id) + return True + + @with_db_session + def enable_on_demand_config( + self, session: Session, config_id: int + ) -> OnDemandModelConfig | None: + """Enable an on-demand configuration by ID. + + This will first disable any currently enabled config for the same `model_name`, before + enabling the specified config. + + Returns the enabled config, or None if the `config_id` was not found. + """ + config = session.get(OnDemandModelConfig, config_id) + if not config: + log.warning("On-demand config not found for enable: id=%d", config_id) + return None + + if config.enabled: + log.debug("On-demand config already enabled: id=%d", config_id) + return config + + # Disable any currently enabled config for this model_name FIRST + # (commit separately to avoid unique constraint issues with partial index) + current_enabled = session.exec( + select(OnDemandModelConfig).where( + OnDemandModelConfig.model_name == config.model_name, + OnDemandModelConfig.enabled == True, # noqa: E712 + ) + ).first() + + if current_enabled: + current_enabled.enabled = False + current_enabled.updated_at = datetime.now(UTC).isoformat() + session.add(current_enabled) + session.commit() + log.info( + "Disabled previous on-demand config: %s (id=%d)", + config.model_name, + current_enabled.id, + ) + + config.enabled = True + config.updated_at = datetime.now(UTC).isoformat() + session.add(config) + session.commit() + session.refresh(config) + log.info("Enabled on-demand config: %s (id=%d)", config.model_name, config_id) + return config diff --git a/cogstack_model_gateway/common/tracking.py b/cogstack_model_gateway/common/tracking.py index ddc4860..fd2a9a3 100644 --- a/cogstack_model_gateway/common/tracking.py +++ b/cogstack_model_gateway/common/tracking.py @@ -1,4 +1,5 @@ import logging +import os import mlflow import mlflow.models @@ -6,6 +7,7 @@ from mlflow.entities import Run, RunStatus MODEL_URI_TAG = "training.output.model_uri" +MODEL_TYPE_TAG = "model_type" log = logging.getLogger("cmg.common") @@ -74,8 +76,47 @@ def get_exceptions(self): class TrackingClient: - def __init__(self, tracking_uri: str = None): + def __init__( + self, + tracking_uri: str | None = None, + username: str | None = None, + password: str | None = None, + s3_endpoint_url: str | None = None, + s3_access_key_id: str | None = None, + s3_secret_access_key: str | None = None, + ): + """Initialize tracking client. + + Args: + tracking_uri: Tracking server URI. + Defaults to MLFLOW_TRACKING_URI env var. + username: Tracking server username. + Defaults to MLFLOW_TRACKING_USERNAME env var. + password: Tracking server password. + Defaults to MLFLOW_TRACKING_PASSWORD env var. + s3_endpoint_url: S3 endpoint URL for artifact storage (e.g. MinIO). + Defaults to MLFLOW_S3_ENDPOINT_URL env var. + s3_access_key_id: S3 access key ID for downloading artifacts. + Defaults to AWS_ACCESS_KEY_ID env var. + s3_secret_access_key: S3 secret access key for downloading artifacts. + Defaults to AWS_SECRET_ACCESS_KEY env var. + """ self.tracking_uri = tracking_uri or mlflow.get_tracking_uri() + + # Set credentials in environment for MLflow and boto3 + # Note: Always set these even if None/empty, as boto3 checks for their presence + if username is not None: + os.environ["MLFLOW_TRACKING_USERNAME"] = username + if password is not None: + os.environ["MLFLOW_TRACKING_PASSWORD"] = password + + if s3_endpoint_url is not None: + os.environ["MLFLOW_S3_ENDPOINT_URL"] = s3_endpoint_url + if s3_access_key_id is not None: + os.environ["AWS_ACCESS_KEY_ID"] = s3_access_key_id + if s3_secret_access_key is not None: + os.environ["AWS_SECRET_ACCESS_KEY"] = s3_secret_access_key + self._mlflow_client = MlflowClient(self.tracking_uri) mlflow.set_tracking_uri(self.tracking_uri) @@ -144,3 +185,41 @@ def get_model_metadata(self, model_uri: str) -> dict: except MlflowException as e: log.error(f"Failed to get model metadata for model URI '{model_uri}': {e}") return None + + def get_model_type(self, model_uri: str) -> str | None: + """Get model type from tracking server. + + CMS sets the 'model_type' tag on registered model versions. This method retrieves that tag + from the model registry, handling various URI formats uniformly by finding the corresponding + run first. + + Args: + model_uri: MLflow model URI in any of these formats: + - 'models:/model-name/1' (version number) + - 'models:/model-name/Production' (stage name) + - 'runs:/run-id/artifact-path' (direct run reference) + - 's3://bucket/path' (direct artifact path) + + Returns: + Model type string (e.g. 'medcat_deid') or None + """ + try: + model_info = mlflow.models.get_model_info(model_uri) + + if not model_info.run_id: + return None + + model_versions = self._mlflow_client.search_model_versions( + filter_string=f"run_id='{model_info.run_id}'" + ) + + # Return model_type from the first matching model version + # (typically there's only one registered model per run) + if model_versions: + return model_versions[0].tags.get(MODEL_TYPE_TAG) + + return None + + except MlflowException as e: + log.warning(f"Failed to get model type for model URI '{model_uri}': {e}") + return None diff --git a/cogstack_model_gateway/gateway/Dockerfile b/cogstack_model_gateway/gateway/Dockerfile index e78c77f..9cb22b3 100644 --- a/cogstack_model_gateway/gateway/Dockerfile +++ b/cogstack_model_gateway/gateway/Dockerfile @@ -25,7 +25,7 @@ RUN poetry install --only main --no-root --no-directory COPY cogstack_model_gateway/common ./cogstack_model_gateway/common COPY cogstack_model_gateway/gateway ./cogstack_model_gateway/gateway -COPY config.json README.md ./ +COPY README.md ./ RUN poetry install --only main diff --git a/cogstack_model_gateway/gateway/core/auto_deploy.py b/cogstack_model_gateway/gateway/core/auto_deploy.py new file mode 100644 index 0000000..88149c0 --- /dev/null +++ b/cogstack_model_gateway/gateway/core/auto_deploy.py @@ -0,0 +1,287 @@ +import asyncio +import logging +import time +from datetime import UTC, datetime + +import httpx +from dateutil import parser +from docker.models.containers import Container + +from cogstack_model_gateway.common.config.models import Config +from cogstack_model_gateway.common.containers import get_models +from cogstack_model_gateway.common.models import ( + ModelDeploymentType, + ModelManager, + OnDemandModelConfig, +) +from cogstack_model_gateway.gateway.core.models import run_model_container +from cogstack_model_gateway.gateway.routers.utils import get_cms_url, resolve_model_host + +log = logging.getLogger("cmg.gateway.auto_deploy") + +# Stale lock threshold: deployment locks older than this are considered stale +STALE_DEPLOYMENT_LOCK_SECONDS = 300 # 5 minutes + + +def is_model_running(model_name: str) -> bool: + """Check if a model container is currently running. + + Args: + model_name: Service name or IP address of the model + Returns: + True if a container with matching service name or IP address is found + """ + running_models = get_models(all=False, managed_only=False) + return model_name in ( + {m["service_name"] for m in running_models} | {m["ip_address"] for m in running_models} + ) + + +async def wait_for_model_health(model_name: str, timeout: int, check_interval: float = 1.0) -> bool: + """Poll model's /readyz endpoint until healthy or timeout. + + Args: + model_name: Name of the model + timeout: Maximum seconds to wait + check_interval: Seconds between health checks (exponential backoff) + + Returns: + True if model became healthy, False if timeout + """ + start_time = time.time() + interval = check_interval + + log.info("Waiting for model '%s' to become ready (timeout: %ds)", model_name, timeout) + url = get_cms_url(resolve_model_host(model_name), "readyz") + + async with httpx.AsyncClient(verify=False) as client: + while time.time() - start_time < timeout: + try: + response = await client.get(url, timeout=5.0) + if response.status_code == 200: + elapsed = time.time() - start_time + log.info("Model '%s' is ready (took %.1fs)", model_name, elapsed) + return True + log.debug( + "Model '%s' not ready yet (status: %d), retrying in %.1fs", + model_name, + response.status_code, + interval, + ) + except (httpx.RequestError, httpx.TimeoutException) as e: + log.debug( + "Health check failed for '%s': %s, retrying in %.1fs", model_name, e, interval + ) + + await asyncio.sleep(interval) + # Exponential backoff, max 8 seconds + interval = min(interval * 2, 8.0) + + elapsed = time.time() - start_time + log.warning( + "Model '%s' did not become ready within %ds (elapsed: %.1fs)", model_name, timeout, elapsed + ) + return False + + +def deploy_on_demand_model( + model_config: OnDemandModelConfig, model_type: str, model_manager: ModelManager +) -> Container: + """Deploy an on-demand model container. + + Creates database entry with ready=False, deploys container, then marks ready=True. + + Args: + model_config: Configuration for the on-demand model + model_manager: Model manager for database operations + + Returns: + Deployed container + + Raises: + ValueError: If model already exists in database (another worker is deploying) + Exception: If container deployment fails + """ + model_name = model_config.model_name + + log.info("Starting deployment of on-demand model: %s", model_name) + + # This will raise ValueError if model already exists (another worker deploying) + model_manager.create_model( + model_name=model_name, + deployment_type=ModelDeploymentType.AUTO, + idle_ttl=model_config.idle_ttl, + ) + + try: + container = run_model_container( + model_name=model_name, + model_uri=model_config.model_uri, + model_type=model_type, + deployment_type=ModelDeploymentType.AUTO, + ttl=model_config.idle_ttl, + resources=model_config.deploy.resources if model_config.deploy else None, + ) + + log.info("Successfully deployed container for model: %s", model_name) + return container + + except Exception as e: + log.error("Failed to deploy model '%s': %s", model_name, e) + model_manager.delete_model(model_name) + raise + + +async def ensure_model_available( + model_name: str, + config: Config, + model_manager: ModelManager, +) -> bool: + """Ensure a model is available, deploying it if necessary. + + This is the main entry point for ensuring ANY model (STATIC, MANUAL, or AUTO) + is available before processing a request. Flow: + 1. Check if model is running + 2. Check if model is healthy + 3. If both pass, ensure model is tracked in database (auto-create STATIC entry if needed) + 4. If not available, attempt auto-deployment (only for AUTO-configured models) + + Note: This function does NOT record usage - that should be done AFTER the actual + operation succeeds (e.g., after HTTP request completes successfully). + + Args: + model_name: Name of the model to ensure is available + config: Global configuration + model_manager: Model manager for database operations + + Returns: + True if model is available and ready, False otherwise + """ + # Step 1: Check if model is currently running + if is_model_running(model_name): + log.debug("Model '%s' container is running, checking health", model_name) + + # Step 2: Check if model is healthy + url = get_cms_url(resolve_model_host(model_name), "readyz") + try: + async with httpx.AsyncClient(verify=False) as client: + response = await client.get(url, timeout=5.0) + if response.status_code == 200: + log.debug("Model '%s' is running and healthy", model_name) + + # Step 3: Ensure model is tracked (auto-create STATIC entry if needed) + existing_model = model_manager.get_model(model_name) + if not existing_model: + log.info( + "Model '%s' is running but not tracked, creating STATIC entry", + model_name, + ) + try: + model_manager.create_model( + model_name=model_name, + deployment_type=ModelDeploymentType.STATIC, + ready=True, + ) + except ValueError: + # Another worker just created it, that's fine + log.debug("Model '%s' was created by another worker", model_name) + + return True + log.info( + "Model '%s' is running but not healthy (status: %d)", + model_name, + response.status_code, + ) + except (httpx.RequestError, httpx.TimeoutException) as e: + log.info("Model '%s' is running but health check failed: %s", model_name, e) + else: + log.info("Model '%s' is not currently running", model_name) + + # Step 4: Model not running/healthy - check if we can auto-deploy + model_config = model_manager.get_on_demand_config(model_name) + if not model_config: + log.warning( + "Model '%s' is not available and not configured for auto-deployment", + model_name, + ) + return False + + log.info("Model '%s' not available, initiating auto-deployment", model_name) + + # Step 5: Check if another worker is currently deploying this model + existing_model = model_manager.get_model(model_name) + if existing_model and not existing_model.ready: + created_at = parser.isoparse(existing_model.created_at) + age_seconds = (datetime.now(UTC) - created_at).total_seconds() + + if age_seconds < STALE_DEPLOYMENT_LOCK_SECONDS: + # Fresh deployment in progress - wait for it + log.info( + "Model '%s' is being deployed by another worker (age: %.1fs), waiting...", + model_name, + age_seconds, + ) + # Wait for the other worker's deployment to complete + is_healthy = await wait_for_model_health( + model_name, + config.models.deployment.auto.health_check_timeout, + ) + if is_healthy: + # Mark as ready (the other worker might have crashed after deploying) + model_manager.mark_model_ready(model_name) + return True + log.error("Model '%s' deployment by another worker failed or timed out", model_name) + return False + + # Stale lock - take over deployment + log.warning( + "Model '%s' has stale deployment lock (age: %.1fs), breaking lock", + model_name, + age_seconds, + ) + model_manager.delete_model(model_name) + + # Step 6: Deploy the model + try: + model_type = config.tracking_client.get_model_type(model_config.model_uri) + if model_type is None: + log.warning( + f"Could not determine model type for URI '{model_config.model_uri}', using default" + ) + model_type = "medcat_umls" + container = deploy_on_demand_model(model_config, model_type, model_manager) + except ValueError as e: + # Another worker just created the entry (race condition) + log.info("Another worker started deploying '%s', waiting for completion: %s", model_name, e) + is_healthy = await wait_for_model_health( + model_name, + config.models.deployment.auto.health_check_timeout, + ) + if is_healthy: + model_manager.mark_model_ready(model_name) + return True + return False + except Exception as e: + log.error("Failed to deploy model '%s': %s", model_name, e) + return False + + # Step 7: Wait for model to become healthy + is_healthy = await wait_for_model_health( + model_name, + config.models.deployment.auto.health_check_timeout, + ) + + if is_healthy: + # Mark model as ready in database + model_manager.mark_model_ready(model_name) + log.info("Model '%s' is now available and ready", model_name) + return True + + log.error("Model '%s' failed health check, cleaning up", model_name) + try: + container.stop() + container.remove() + except Exception as e: + log.warning("Failed to clean up container for '%s': %s", model_name, e) + model_manager.delete_model(model_name) + return False diff --git a/cogstack_model_gateway/gateway/core/models.py b/cogstack_model_gateway/gateway/core/models.py index 3f21306..ea61444 100644 --- a/cogstack_model_gateway/gateway/core/models.py +++ b/cogstack_model_gateway/gateway/core/models.py @@ -1,80 +1,103 @@ -import os +import logging import docker from docker.models.containers import Container -from cogstack_model_gateway.common.containers import ( - IS_MODEL_LABEL, - MANAGED_BY_LABEL, - MANAGED_BY_LABEL_VALUE, - MODEL_URI_LABEL, - PROJECT_NAME_LABEL, - SERVICE_NAME_LABEL, - TTL_LABEL, -) +from cogstack_model_gateway.common.config import get_config +from cogstack_model_gateway.common.containers import PROJECT_NAME_LABEL +from cogstack_model_gateway.common.models import ModelDeploymentType -CMS_PROJECT_ENV_VAR = "CMS_PROJECT_NAME" -CMS_DOCKER_NETWORK = "cogstack-model-serve_cms" +log = logging.getLogger("cmg.gateway") -def get_running_models(cms_project: str) -> list[dict]: - """Get a list of running containers corresponding to model servers.""" - client = docker.from_env() - if not cms_project: - raise ValueError( - "CogStack ModelServe Docker Compose project name was not provided." - f" Please try setting the '{CMS_PROJECT_ENV_VAR}' environment variable." - ) - - containers = client.containers.list( - filters={ - "status": "running", - "label": [IS_MODEL_LABEL, f"{PROJECT_NAME_LABEL}={cms_project}"], - } - ) - return [ - {"name": c.labels.get(SERVICE_NAME_LABEL, c.name), "uri": c.labels.get(MODEL_URI_LABEL)} - for c in containers - ] +def _parse_cpus_to_nano(cpus_str: str) -> int: + """Parse Docker CPU string (e.g., '2.0', '0.5') to nano CPUs. + + Docker API expects CPU limits as nano_cpus (1 CPU = 1e9 nano CPUs). + + Args: + cpus_str: CPU specification like '2.0', '1.5', '0.5'. + + Returns: + CPU count in nano CPUs (integer). + + Raises: + ValueError: If the CPU format is invalid. + """ + try: + cpus_float = float(cpus_str) + if cpus_float <= 0: + raise ValueError("CPU value must be positive") + return int(cpus_float * 1e9) + except (ValueError, TypeError) as e: + raise ValueError(f"Invalid CPU format: {cpus_str}. Expected a positive number.") from e -def run_model_container(model_name: str, model_uri: str, ttl: int, cms_project: str) -> Container: +def run_model_container( + model_name: str, + model_uri: str, + model_type: str, + deployment_type: ModelDeploymentType, + ttl: int = -1, + resources: dict | None = None, +) -> Container: """Run a Docker container for a model server. - The container is started with the `cogstack-modelserve` image as well as the specified model - name which is used as the Docker service name and the tracking server URI for the trained model - to be deployed. The new CogStack Model Serve instance is given labels to identify it as a model - server managed by the CogStack Model Gateway, with the specified TTL label determining its - expiration time. Apart from that, it's configured in the same way as the services included in - the CogStack Model Serve stack. + The container is started with the configured CogStack ModelServe image and the specified model + name, type, and URI. The new CogStack Model Serve instance is given labels to identify it as a + model server managed by the CogStack Model Gateway, with the specified TTL label determining + its expiration time. + + Args: + model_name: Docker service name for the model. + model_uri: URI pointing to the model artifact (e.g. MLflow model URI). + model_type: Type of model (e.g., 'medcat_umls', 'medcat_snomed', 'transformers'). + deployment_type: Type of deployment (ModelDeploymentType enum). + ttl: Fixed time-to-live in seconds (predominantly used for manual deployments). + resources: Optional resource limits/reservations dict with structure: + { + "limits": {"memory": "4g", "cpus": "2.0"}, + "reservations": {"memory": "2g"} + } + + Returns: + The created Docker container. """ + config = get_config() client = docker.from_env() - if not cms_project: - raise ValueError( - "CogStack ModelServe Docker Compose project name was not provided." - f" Please try setting the '{CMS_PROJECT_ENV_VAR}' environment variable." - ) labels = { # The project name is set by Docker when deploying CMS through its compose file. We have to # set it explicitly here to ensure that model servers deployed through the gateway can be # identified/listed/deleted in the same way as the ones deployed through Docker compose. - PROJECT_NAME_LABEL: cms_project, - IS_MODEL_LABEL: model_name, - MODEL_URI_LABEL: model_uri, - TTL_LABEL: str(ttl), - MANAGED_BY_LABEL: MANAGED_BY_LABEL_VALUE, + PROJECT_NAME_LABEL: config.cms.project_name, + config.labels.cms_model_label: model_name, + config.labels.cms_model_uri_label: model_uri, + config.labels.ttl_label: str(ttl), + config.labels.managed_by_label: config.labels.managed_by_value, + config.labels.deployment_type_label: deployment_type.value, } - base_cmd = "python cli/cli.py serve" - model_type_arg = "--model-type medcat_umls" + base_cmd = "/.venv/bin/python cli/cli.py serve" + model_type_arg = f"--model-type {model_type}" model_name_arg = f"--model-name {model_name}" mlflow_uri_arg = f"--mlflow-model-uri {model_uri}" host_arg = "--host 0.0.0.0" - port_arg = "--port 8000" + port_arg = f"--port {config.cms.server_port}" + + resource_kwargs = {} + if resources: + limits = resources.get("limits", {}) + reservations = resources.get("reservations", {}) + + resource_kwargs = { + **({"mem_limit": limits["memory"]} if limits.get("memory") else {}), + **({"mem_reservation": reservations["memory"]} if reservations.get("memory") else {}), + **({"nano_cpus": _parse_cpus_to_nano(limits["cpus"])} if limits.get("cpus") else {}), + } container: Container = client.containers.run( - "cogstacksystems/cogstack-modelserve:dev", + config.cms.image, command=[ "sh", "-c", @@ -82,48 +105,45 @@ def run_model_container(model_name: str, model_uri: str, ttl: int, cms_project: ], detach=True, environment={ - "ENABLE_TRAINING_APIS": "true", - "ENABLE_EVALUATION_APIS": "true", - "ENABLE_PREVIEWS_APIS": "true", - "AWS_ACCESS_KEY_ID": os.getenv("AWS_ACCESS_KEY_ID"), - "AWS_SECRET_ACCESS_KEY": os.getenv("AWS_SECRET_ACCESS_KEY"), - "MLFLOW_S3_ENDPOINT_URL": os.getenv("MLFLOW_S3_ENDPOINT_URL", "http://minio:9000"), - "MLFLOW_TRACKING_URI": os.getenv("MLFLOW_TRACKING_URI", "http://mlflow-ui:5000"), - "MLFLOW_TRACKING_USERNAME": os.getenv("MLFLOW_TRACKING_USERNAME", "admin"), - "MLFLOW_TRACKING_PASSWORD": os.getenv("MLFLOW_TRACKING_PASSWORD", "password"), - "MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING": os.getenv( - "MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING", "true" - ), - "GELF_INPUT_URI": os.getenv("GELF_INPUT_URI", "http://graylog:12201"), - "AUTH_USER_ENABLED": os.getenv("AUTH_USER_ENABLED", "false"), - "AUTH_JWT_SECRET": os.getenv("AUTH_JWT_SECRET"), - "AUTH_ACCESS_TOKEN_EXPIRE_SECONDS": os.getenv( - "AUTH_ACCESS_TOKEN_EXPIRE_SECONDS", "3600" - ), - "AUTH_DATABASE_URL": os.getenv( - "AUTH_DATABASE_URL", "sqlite+aiosqlite:///./cms-users.db" - ), - "HTTP_PROXY": os.getenv("HTTP_PROXY"), - "HTTPS_PROXY": os.getenv("HTTPS_PROXY"), - "NO_PROXY": os.getenv("NO_PROXY", "mlflow-ui,minio,graylog,auth-db,localhost"), - "http_proxy": os.getenv("HTTP_PROXY"), - "https_proxy": os.getenv("HTTPS_PROXY"), - "no_proxy": os.getenv("NO_PROXY", "mlflow-ui,minio,graylog,auth-db,localhost"), + "CMS_MODEL_NAME": model_name, + "CMS_MODEL_TYPE": model_type, + "ENABLE_TRAINING_APIS": str(config.cms.enable_training_apis).lower(), + "ENABLE_EVALUATION_APIS": str(config.cms.enable_evaluation_apis).lower(), + "ENABLE_PREVIEWS_APIS": str(config.cms.enable_previews_apis).lower(), + "AWS_ACCESS_KEY_ID": config.cms.tracking.s3.access_key_id or "", + "AWS_SECRET_ACCESS_KEY": config.cms.tracking.s3.secret_access_key or "", + "MLFLOW_S3_ENDPOINT_URL": config.cms.tracking.s3.endpoint_url, + "MLFLOW_TRACKING_URI": config.cms.tracking.uri, + "MLFLOW_TRACKING_USERNAME": config.cms.tracking.username, + "MLFLOW_TRACKING_PASSWORD": config.cms.tracking.password, + "MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING": str( + config.cms.tracking.enable_system_metrics_logging + ).lower(), + "GELF_INPUT_URI": config.cms.gelf_input_uri, + "AUTH_USER_ENABLED": str(config.cms.auth.user_enabled).lower(), + "AUTH_JWT_SECRET": config.cms.auth.jwt_secret or "", + "AUTH_ACCESS_TOKEN_EXPIRE_SECONDS": str(config.cms.auth.access_token_expire_seconds), + "AUTH_DATABASE_URL": config.cms.auth.database_url, + "HTTP_PROXY": config.cms.proxy.http_proxy or "", + "HTTPS_PROXY": config.cms.proxy.https_proxy or "", + "NO_PROXY": config.cms.proxy.no_proxy, + "http_proxy": config.cms.proxy.http_proxy or "", + "https_proxy": config.cms.proxy.https_proxy or "", + "no_proxy": config.cms.proxy.no_proxy, }, labels=labels, name=model_name, - network=CMS_DOCKER_NETWORK, - volumes={ - "retrained-models": {"bind": "/app/model/retrained", "mode": "rw"}, - }, - ports={"8000/tcp": None}, + network=config.cms.network, + volumes={name: {"bind": path, "mode": "rw"} for name, path in config.cms.volumes.items()}, + ports={f"{config.cms.server_port}/tcp": None}, healthcheck={ - "test": ["CMD", "curl", "-f", "http://localhost:8000/info"], - "interval": 90 * 1000000 * 1000, - "timeout": 10 * 1000000 * 1000, - "retries": 3, - "start_period": 60 * 1000000 * 1000, + "test": ["CMD", "curl", "-f", f"http://localhost:{config.cms.server_port}/info"], + "interval": config.cms.health_check.interval * 1000000 * 1000, + "timeout": config.cms.health_check.timeout * 1000000 * 1000, + "retries": config.cms.health_check.retries, + "start_period": config.cms.health_check.start_period * 1000000 * 1000, }, + **resource_kwargs, ) return container diff --git a/cogstack_model_gateway/gateway/main.py b/cogstack_model_gateway/gateway/main.py index 82486f3..861b25a 100644 --- a/cogstack_model_gateway/gateway/main.py +++ b/cogstack_model_gateway/gateway/main.py @@ -9,11 +9,13 @@ from cogstack_model_gateway.common.config import get_config, load_config from cogstack_model_gateway.common.db import DatabaseManager from cogstack_model_gateway.common.logging import configure_logging +from cogstack_model_gateway.common.models import ModelManager from cogstack_model_gateway.common.object_store import ObjectStoreManager from cogstack_model_gateway.common.queue import QueueManager from cogstack_model_gateway.common.tasks import TaskManager +from cogstack_model_gateway.common.tracking import TrackingClient from cogstack_model_gateway.gateway.prometheus.metrics import gateway_requests_total -from cogstack_model_gateway.gateway.routers import models, tasks +from cogstack_model_gateway.gateway.routers import admin, models, tasks log = logging.getLogger("cmg.gateway") @@ -33,48 +35,59 @@ async def lifespan(app: FastAPI): configure_logging() log.info("Initializing database and queue connections") - config = load_config() + config = load_config(os.getenv("CONFIG_FILE")) dbm = DatabaseManager( - user=config.cmg.db_user, - password=config.cmg.db_password, - host=config.cmg.db_host, - port=config.cmg.db_port, - db_name=config.cmg.db_name, + user=config.db.user, + password=config.db.password, + host=config.db.host, + port=config.db.port, + db_name=config.db.name, ) - dbm.init_db() task_osm = ObjectStoreManager( - host=config.cmg.object_store_host, - port=config.cmg.object_store_port, - access_key=config.cmg.object_store_access_key, - secret_key=config.cmg.object_store_secret_key, - default_bucket=config.cmg.object_store_bucket_tasks, + host=config.object_store.host, + port=config.object_store.port, + access_key=config.object_store.access_key, + secret_key=config.object_store.secret_key, + default_bucket=config.object_store.bucket_tasks, ) results_osm = ObjectStoreManager( - host=config.cmg.object_store_host, - port=config.cmg.object_store_port, - access_key=config.cmg.object_store_access_key, - secret_key=config.cmg.object_store_secret_key, - default_bucket=config.cmg.object_store_bucket_results, + host=config.object_store.host, + port=config.object_store.port, + access_key=config.object_store.access_key, + secret_key=config.object_store.secret_key, + default_bucket=config.object_store.bucket_results, ) qm = QueueManager( - user=config.cmg.queue_user, - password=config.cmg.queue_password, - host=config.cmg.queue_host, - port=config.cmg.queue_port, - queue_name=config.cmg.queue_name, + user=config.queue.user, + password=config.queue.password, + host=config.queue.host, + port=config.queue.port, + queue_name=config.queue.name, ) qm.init_queue() tm = TaskManager(db_manager=dbm) + mm = ModelManager(db_manager=dbm) + + tc = TrackingClient( + tracking_uri=config.tracking.uri, + username=config.tracking.username, + password=config.tracking.password, + s3_endpoint_url=config.tracking.s3.endpoint_url, + s3_access_key_id=config.tracking.s3.access_key_id, + s3_secret_access_key=config.tracking.s3.secret_access_key, + ) - config.set("database_manager", dbm) - config.set("task_object_store_manager", task_osm) - config.set("results_object_store_manager", results_osm) - config.set("queue_manager", qm) - config.set("task_manager", tm) + config.database_manager = dbm + config.task_object_store_manager = task_osm + config.results_object_store_manager = results_osm + config.queue_manager = qm + config.task_manager = tm + config.model_manager = mm + config.tracking_client = tc yield @@ -82,6 +95,7 @@ async def lifespan(app: FastAPI): urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) app = FastAPI(lifespan=lifespan) +app.include_router(admin.router) app.include_router(models.router) app.include_router(tasks.router) diff --git a/cogstack_model_gateway/gateway/routers/admin.py b/cogstack_model_gateway/gateway/routers/admin.py new file mode 100644 index 0000000..8275e0d --- /dev/null +++ b/cogstack_model_gateway/gateway/routers/admin.py @@ -0,0 +1,274 @@ +import logging +from typing import Annotated + +from fastapi import APIRouter, Depends, HTTPException, Query + +from cogstack_model_gateway.common.config import Config, get_config +from cogstack_model_gateway.common.containers import get_models +from cogstack_model_gateway.common.exceptions import ConfigConflictError, ConfigValidationError +from cogstack_model_gateway.common.models import ModelManager, OnDemandModelConfig +from cogstack_model_gateway.gateway.routers.utils import resolve_and_validate_model_uri +from cogstack_model_gateway.gateway.schemas import ( + OnDemandModelCreate, + OnDemandModelListResponse, + OnDemandModelUpdate, +) + +log = logging.getLogger("cmg.gateway.admin") +router = APIRouter(prefix="/admin", tags=["admin"]) + + +@router.get( + "/on-demand", + response_model=OnDemandModelListResponse, + response_model_exclude_none=True, + name="List on-demand model configurations", +) +async def list_on_demand_configs( + config: Annotated[Config, Depends(get_config)], + include_disabled: Annotated[ + bool, Query(description="Include disabled (soft-deleted) configurations") + ] = False, +): + """List all on-demand model configurations. + + By default, only enabled configurations are returned. Use `include_disabled=true` + to also include historical/disabled configurations. + """ + model_manager: ModelManager = config.model_manager + model_configs = model_manager.list_on_demand_configs(include_disabled=include_disabled) + + return OnDemandModelListResponse(configs=model_configs, total=len(model_configs)) + + +@router.post( + "/on-demand", + response_model=OnDemandModelConfig, + response_model_exclude_none=True, + status_code=201, + name="Create on-demand model configuration", +) +async def create_on_demand_config( + body: OnDemandModelCreate, config: Annotated[Config, Depends(get_config)] +): + """Create a new on-demand model configuration. + + The model will be available for auto-deployment when requests target its `model_name`. + Only one **enabled** configuration can exist per `model_name` at a time. + + You can specify the model using either `tracking_id` (e.g. MLflow run ID) or `model_uri` + (direct artifact URI), or both. While `model_uri` takes precedence, if only `tracking_id` is + provided, it will be resolved to a `model_uri`. If `require_model_uri_validation` is set to true + in the config, the resolved or explicit URI will be validated against the tracking server. + + Set `replace_enabled=true` to atomically disable any existing config and create the new one, + preserving the old config in history for potential rollback and replacing the original as the + enabled config. If `replace_enabled=false` and an enabled config already exists for the same + `model_name`, a `409 Conflict` error is returned. + + Set `inherit_config=true` to copy settings from the currently enabled config for this model. + If no enabled config exists, a new config will be created as long as the mandatory fields are + provided (i.e. `model_uri` or `tracking_id`). Any explicitly provided fields will override the + inherited values. When creating a config from scratch is desired, it is recommended to set + `inherit_config=false` to avoid confusion and explicitly provide configuration fields as needed. + """ + model_manager: ModelManager = config.model_manager + + # Resolve and validate if any model field is provided to catch errors with provided values + # Let ModelManager catch missing model reference if not able to inherit + if body.tracking_id is not None or body.model_uri is not None: + model_uri, tracking_id = resolve_and_validate_model_uri( + tracking_id=body.tracking_id, + model_uri=body.model_uri, + tracking_client=config.tracking_client, + require_validation=config.models.deployment.auto.require_model_uri_validation, + ) + else: + model_uri, tracking_id = None, None + + try: + model_config = model_manager.create_on_demand_config( + model_name=body.model_name, + model_uri=model_uri, + tracking_id=tracking_id, + idle_ttl=body.idle_ttl, + description=body.description, + deploy_spec=body.deploy.model_dump(exclude_none=True) if body.deploy else None, + replace_enabled=body.replace_enabled, + inherit_config=body.inherit_config, + ) + except ConfigValidationError as e: + raise HTTPException(status_code=400, detail=str(e)) + except ConfigConflictError as e: + raise HTTPException(status_code=409, detail=str(e)) + + log.info("Created on-demand config via API: %s", body.model_name) + return model_config + + +@router.get( + "/on-demand/{model_name}", + response_model=OnDemandModelConfig, + response_model_exclude_none=True, + name="Get on-demand model configuration", +) +async def get_on_demand_config( + model_name: str, + config: Annotated[Config, Depends(get_config)], +): + """Get the enabled on-demand model configuration for a specific model name.""" + model_manager: ModelManager = config.model_manager + model_config = model_manager.get_on_demand_config(model_name) + + if not model_config: + raise HTTPException( + status_code=404, detail=f"No enabled on-demand config found for '{model_name}'" + ) + + return model_config + + +@router.get( + "/on-demand/{model_name}/history", + response_model=OnDemandModelListResponse, + response_model_exclude_none=True, + name="Get on-demand model configuration history", +) +async def get_on_demand_config_history( + model_name: str, config: Annotated[Config, Depends(get_config)] +): + """Get all versions (enabled and disabled) of an on-demand model configuration. + + Returns configurations ordered by creation date, newest first. + """ + model_manager: ModelManager = config.model_manager + model_configs = model_manager.get_on_demand_config_history(model_name) + + if not model_configs: + raise HTTPException( + status_code=404, detail=f"No on-demand configurations found for '{model_name}'" + ) + + return OnDemandModelListResponse(configs=model_configs, total=len(model_configs)) + + +@router.put( + "/on-demand/{model_name}", + response_model=OnDemandModelConfig, + response_model_exclude_none=True, + name="Update on-demand model configuration", +) +async def update_on_demand_config( + model_name: str, body: OnDemandModelUpdate, config: Annotated[Config, Depends(get_config)] +): + """Update an existing on-demand model configuration in-place without creating a new version. + + Only provided fields will be updated. Use `clear_*` flags to explicitly unset optional fields. + This does NOT create version history. To preserve history, use POST with `replace_enabled=true`. + + You can update the model reference using `tracking_id`, `model_uri`, or both. While `model_uri` + takes precedence, if only `tracking_id` is provided, it will be resolved to a `model_uri`. If + `require_model_uri_validation` is set to true in the config, the resolved or explicit URI will + be validated against the tracking server. Note that updating `tracking_id` results in updating + `model_uri` as well if the latter is not explicitly provided. + + Note: If a model is currently running, changes will only take effect on the next deployment. + """ + model_manager: ModelManager = config.model_manager + + if body.tracking_id is not None or body.model_uri is not None: + model_uri, tracking_id = resolve_and_validate_model_uri( + tracking_id=body.tracking_id, + model_uri=body.model_uri, + tracking_client=config.tracking_client, + require_validation=config.models.deployment.auto.require_model_uri_validation, + ) + else: + model_uri, tracking_id = None, None + + deploy_spec_dict = body.deploy.model_dump(exclude_none=True) if body.deploy else None + + updated_config = model_manager.update_on_demand_config( + model_name=model_name, + model_uri=model_uri, + tracking_id=tracking_id, + idle_ttl=body.idle_ttl, + description=body.description, + deploy_spec=deploy_spec_dict, + clear_tracking_id=body.clear_tracking_id, + clear_idle_ttl=body.clear_idle_ttl, + clear_description=body.clear_description, + clear_deploy_spec=body.clear_deploy, + ) + + if not updated_config: + raise HTTPException( + status_code=404, detail=f"No enabled on-demand config found for '{model_name}'" + ) + + models = get_models(all=False, managed_only=False) + if model_name in {m["service_name"] for m in models} | {m["ip_address"] for m in models}: + log.warning( + "Updated on-demand config for '%s' which is currently running. Changes will take effect" + " on next deployment.", + model_name, + ) + + log.info("Updated on-demand config: %s", model_name) + return updated_config + + +@router.delete( + "/on-demand/{model_name}", + status_code=204, + name="Delete on-demand model configuration", +) +async def delete_on_demand_config(model_name: str, config: Annotated[Config, Depends(get_config)]): + """Soft-delete an on-demand model configuration by disabling it. + + The configuration is not permanently deleted; it can be viewed via the + `/on-demand/{model_name}/history` endpoint and re-enabled if needed. + + **Note**: This does NOT stop a currently running instance of the model. The running model will + continue until it's stopped or its idle TTL expires. + """ + model_manager: ModelManager = config.model_manager + success = model_manager.disable_on_demand_config(model_name) + + if not success: + raise HTTPException( + status_code=404, detail=f"No enabled on-demand config found for '{model_name}'" + ) + + models = get_models(all=False, managed_only=False) + if model_name in {m["service_name"] for m in models} | {m["ip_address"] for m in models}: + log.warning( + "Disabled on-demand config for '%s' which is currently running. The running instance" + " will not be affected.", + model_name, + ) + + log.info("Disabled on-demand config: %s", model_name) + return None + + +@router.post( + "/on-demand/{config_id}/enable", + response_model=OnDemandModelConfig, + response_model_exclude_none=True, + name="Enable an on-demand model configuration", +) +async def enable_on_demand_config(config_id: int, config: Annotated[Config, Depends(get_config)]): + """Enable an on-demand model configuration by its ID. + + This will disable any currently enabled configuration for the same `model_name` and enable the + specified configuration. Useful for rolling back to a previous model version. + """ + model_manager: ModelManager = config.model_manager + enabled_config = model_manager.enable_on_demand_config(config_id) + + if enabled_config is None: + raise HTTPException(status_code=404, detail=f"On-demand config '{config_id}' not found") + + log.info("Enabled on-demand config: %s (id=%d)", enabled_config.model_name, config_id) + return enabled_config diff --git a/cogstack_model_gateway/gateway/routers/models.py b/cogstack_model_gateway/gateway/routers/models.py index 6060796..e5726ac 100644 --- a/cogstack_model_gateway/gateway/routers/models.py +++ b/cogstack_model_gateway/gateway/routers/models.py @@ -8,11 +8,15 @@ from starlette.datastructures import UploadFile as StarletteUploadFile from cogstack_model_gateway.common.config import Config, get_config +from cogstack_model_gateway.common.containers import get_models as get_model_containers +from cogstack_model_gateway.common.containers import stop_and_remove_model_container +from cogstack_model_gateway.common.models import ModelDeploymentType, ModelManager from cogstack_model_gateway.common.object_store import ObjectStoreManager from cogstack_model_gateway.common.queue import QueueManager from cogstack_model_gateway.common.tasks import TaskManager from cogstack_model_gateway.common.tracking import TrackingClient -from cogstack_model_gateway.gateway.core.models import get_running_models, run_model_container +from cogstack_model_gateway.gateway.core.auto_deploy import ensure_model_available +from cogstack_model_gateway.gateway.core.models import run_model_container from cogstack_model_gateway.gateway.core.priority import calculate_task_priority from cogstack_model_gateway.gateway.prometheus.metrics import ( gateway_models_deployed_total, @@ -22,8 +26,11 @@ get_cms_url, get_content_type, get_query_params, + resolve_and_validate_model_uri, + resolve_model_host, validate_model_name, ) +from cogstack_model_gateway.gateway.schemas import ModelResponse, ModelsListResponse DEFAULT_CONTENT_TYPE = "text/plain" SUPPORTED_ENDPOINTS = { @@ -104,29 +111,206 @@ router = APIRouter() +async def ensure_model_dependency( + model_name: str, + config: Annotated[Config, Depends(get_config)], +) -> None: + """FastAPI dependency to ensure a model is available before processing request. + + This handles: + - Checking if model is running and healthy (all deployment types) + - Auto-creating STATIC entries for untracked models + - Auto-deploying on-demand models if configured + + Raises: + HTTPException(503): If model unavailable. + """ + model_manager: ModelManager = config.model_manager + is_available = await ensure_model_available( + model_name=model_name, + config=config, + model_manager=model_manager, + ) + + if not is_available: + running = [m["service_name"] for m in get_model_containers(all=False, managed_only=False)] + on_demand = [m.model_name for m in model_manager.list_on_demand_configs()] + raise HTTPException( + status_code=503, + detail=( + f"Model '{model_name}' is not available. " + f"Running models: {running}. " + f"On-demand models: {on_demand}. " + "List all models at /models" + ), + ) + + +def _build_model_response( + model_dict: dict, + is_running: bool, + tracking_client: TrackingClient, + model_manager: ModelManager, + verbose: bool = False, +) -> ModelResponse: + """Build unified model response from model dictionary. + + Args: + model_dict: Model data (from get_models() or OnDemandModel.model_dump()) + is_running: Whether the model is currently running + tracking_client: Tracking client for accessing tracking metadata + model_manager: Model manager for database operations + verbose: Whether to include tracking metadata and runtime info + """ + name = model_dict.get("service_name") or model_dict.get("model_name") + uri = model_dict.get("model_uri") + ip_address = model_dict.get("ip_address") + minimal_response = {"name": name, "uri": uri, "is_running": is_running} + + if not verbose: + return ModelResponse(**minimal_response) + + cms_info = None + idle_ttl = model_dict.get("idle_ttl") + description = model_dict.get("description") + deploy = model_dict.get("deploy") or {} + resources = deploy.get("resources") if isinstance(deploy, dict) else None + model_type = tracking_client.get_model_type(uri) if uri else None + tracking_metadata = tracking_client.get_model_metadata(uri) if uri else None + deployment_type = model_dict.get("deployment_type", ModelDeploymentType.AUTO.value) + + if is_running: + try: + cms_host = ip_address if ip_address else name + # FIXME: Enable SSL verification when certificates are properly set up + cms_response = requests.get(get_cms_url(cms_host, "info"), verify=False) + cms_response.raise_for_status() + cms_info = cms_response.json() + + if not model_type: + model_type = cms_info.get("model_type") + if not description: + description = cms_info.get("model_description") + + deployment_type = ( + model_manager.get_model_deployment_type(name) or ModelDeploymentType.STATIC.value + ) + + except requests.RequestException as e: + log.warning(f"Failed to fetch CMS info for model '{name}': {e}") + + return ModelResponse( + **{ + **minimal_response, + "description": description, + "model_type": model_type, + "deployment_type": deployment_type, + "idle_ttl": idle_ttl, + "resources": resources, + "runtime": cms_info, + "tracking": tracking_metadata, + } + ) + + @router.get( "/models/", - response_model=list[dict], + response_model=ModelsListResponse, + response_model_exclude_none=True, tags=["models"], - name="List running CogStack Model Serve instances with metadata from the tracking server", + name="List running and on-demand CogStack Model Serve instances", ) async def get_models( config: Annotated[Config, Depends(get_config)], verbose: Annotated[ - bool | None, Query(description="Include model metadata from the tracking server") + bool | None, Query(description="Include tracking metadata and runtime info") ] = False, ): - """List running model servers and attach metadata from the tracking server. + """List running model servers and on-demand models that can be auto-deployed. + + Returns a dictionary with two keys: + - 'running': List of currently running model containers + - 'on_demand': List of models that can be deployed on-demand (excludes already running models) - Metadata is only included if the `verbose` query parameter is set to `true` and a tracking URI - is found for the model server. + When verbose=false (default): + - Returns minimal info: name, uri, is_running + + When verbose=true: + - Includes description, model_type, deployment_type, idle_ttl, resources + - Includes 'tracking': Model metadata from tracking server (e.g. uuid, run_id, signature) + - Includes 'runtime': CMS /info response (for running models only) """ - models = get_running_models(config.cms.project_name) - for model in models: - if model["uri"] and verbose: - if model_info := TrackingClient().get_model_metadata(model["uri"]): - model["info"] = model_info - return models + model_manager: ModelManager = config.model_manager + running_models = get_model_containers(all=False, managed_only=False) + running_model_names = {m["service_name"] for m in running_models} + + return ModelsListResponse( + running=[ + _build_model_response(model, True, config.tracking_client, model_manager, verbose) + for model in running_models + ], + on_demand=[ + _build_model_response( + model.model_dump(), False, config.tracking_client, model_manager, verbose + ) + for model in model_manager.list_on_demand_configs() + if model.model_name not in running_model_names + ], + ) + + +@router.get( + "/models/{model_name}", + response_model=ModelResponse, + response_model_exclude_none=True, + tags=["models"], + name="Get information about a model (running or on-demand)", +) +async def get_model( + model_name: str, + config: Annotated[Config, Depends(get_config)], + verbose: Annotated[ + bool | None, Query(description="Include tracking metadata and runtime info") + ] = False, +): + """Get information about a model (running or on-demand). + + When verbose=false (default): + - Returns minimal info: name, uri, is_running + + When verbose=true: + - Includes description, model_type, deployment_type, idle_ttl, resources + - Includes 'tracking': Model metadata from tracking server (e.g. uuid, run_id, signature) + - Includes 'runtime': CMS /info response (for running models only) + + Does not trigger auto-deployment for on-demand models. + """ + model_manager: ModelManager = config.model_manager + models = get_model_containers(all=False, managed_only=False) + running_models = {m["service_name"]: m for m in models} + running_models_ips = {m.get("ip_address"): m for m in models} + on_demand_models = {m.model_name: m for m in model_manager.list_on_demand_configs()} + + if (model := running_models.get(model_name) or running_models_ips.get(model_name)) is not None: + return _build_model_response( + model, True, config.tracking_client, config.model_manager, verbose + ) + elif (model := on_demand_models.get(model_name)) is not None: + return _build_model_response( + model.model_dump(), False, config.tracking_client, config.model_manager, verbose + ) + else: + running_models_names = list(running_models.keys()) + on_demand_models_names = [m for m in on_demand_models.keys() if m not in running_models] + raise HTTPException( + status_code=404, + detail=( + f"Model '{model_name}' not found:" + f" * Running models: {running_models_names}." + f" * On-demand models: {on_demand_models_names}." + "You can list all available models at /models." + ), + ) @router.get( @@ -134,12 +318,13 @@ async def get_models( response_model=dict, tags=["models"], name="Get information about a running CogStack Model Serve instance", + dependencies=[Depends(ensure_model_dependency)], ) -async def get_model_info(model_name: str): +async def get_model_info(model_name: str, config: Annotated[Config, Depends(get_config)]): """Get information about a running model server through its `/info` API.""" gateway_tasks_processed_total.labels(model=model_name, task="info").inc() # FIXME: Enable SSL verification when certificates are properly set up - response = requests.get(get_cms_url(model_name, "info"), verify=False) + response = requests.get(get_cms_url(resolve_model_host(model_name), "info"), verify=False) if response.status_code == 404: raise HTTPException( status_code=404, @@ -151,6 +336,8 @@ async def get_model_info(model_name: str): except requests.RequestException as e: raise HTTPException(status_code=500, detail=str(e)) + model_manager: ModelManager = config.model_manager + model_manager.record_model_usage(model_name) return response.json() @@ -180,11 +367,12 @@ async def deploy_model( int | None, Body( description=( - "The deployed model will be deleted after TTL seconds (defaults to 86400, i.e. 1d)." + "The deployed model will be deleted after TTL seconds." " Set -1 as the TTL value to protect the model from being deleted." + " If not provided, uses the default from manual deployment config." ) ), - ] = 86400, + ] = None, ): """Deploy a CogStack Model Serve instance with a given model URI or tracking ID. @@ -194,21 +382,22 @@ async def deploy_model( fetch the model URI if not provided explicitly. The model is deployed as a Docker container with the specified name and the CogStack Model Serve image. The container is labelled with the model URI, the project name, and the TTL value to determine its expiration time. - """ - if not tracking_id and not model_uri: - raise HTTPException( - status_code=400, detail="At least one of tracking_id or model_uri must be provided." - ) - - if not model_uri and tracking_id: - tc = TrackingClient() - model_uri = tc.get_model_uri(tracking_id) - if not model_uri: - raise HTTPException( - status_code=404, detail=f"Model not found for tracking ID '{tracking_id}'." - ) - if any(model["name"] == model_name for model in get_running_models(config.cms.project_name)): + A corresponding Model database entry is created to track usage and enable lifecycle management. + """ + tc: TrackingClient = config.tracking_client + manual_config = config.get_manual_deployment_config() + + model_uri, tracking_id = resolve_and_validate_model_uri( + tracking_id=tracking_id, + model_uri=model_uri, + tracking_client=config.tracking_client, + require_validation=manual_config.require_model_uri_validation, + ) + + if any( + m["service_name"] == model_name for m in get_model_containers(all=False, managed_only=False) + ): raise HTTPException( status_code=409, detail=( @@ -217,13 +406,42 @@ async def deploy_model( ), ) + if ttl is None: + ttl = manual_config.default_ttl + elif not manual_config.allow_ttl_override: + raise HTTPException( + status_code=403, + detail="TTL override is not allowed. Remove ttl parameter or contact administrator.", + ) + elif manual_config.max_ttl is not None and ttl > manual_config.max_ttl and ttl != -1: + raise HTTPException( + status_code=400, + detail=f"TTL exceeds maximum allowed value of {manual_config.max_ttl} seconds.", + ) + + model_type = tc.get_model_type(model_uri) if model_uri else None + if model_type is None: + log.warning(f"Could not determine model type for URI '{model_uri}', using default") + model_type = "medcat_umls" + try: - container = run_model_container(model_name, model_uri, ttl, config.cms.project_name) + container = run_model_container( + model_name=model_name, + model_uri=model_uri, + model_type=model_type, + deployment_type=ModelDeploymentType.MANUAL, + ttl=ttl, + resources=None, # TODO: Add resource limits support for manual deployments + ) + + model_manager: ModelManager = config.model_manager + model_manager.create_model( + model_name=model_name, deployment_type=ModelDeploymentType.MANUAL + ) + except DockerException as e: log.error(f"Failed to deploy model '{model_name}': {str(e)}") - raise HTTPException( - status_code=500, detail=f"Failed to deploy model '{model_name}': {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to deploy model '{model_name}'") gateway_models_deployed_total.labels(model=model_name, model_uri=model_uri).inc() @@ -237,11 +455,84 @@ async def deploy_model( } +@router.delete( + "/models/{model_name}", + status_code=204, + tags=["models"], + name="Remove a deployed model server", +) +async def remove_model( + config: Annotated[Config, Depends(get_config)], + model_name: Annotated[str, Depends(validate_model_name)], + force: Annotated[ + bool, Query(description=("Force removal even if the model is not found")) + ] = False, +): + """Remove a deployed model server. + + This endpoint stops and removes the Docker container for the specified model and deletes its + database record. It can be used to manually clean up models that were deployed via POST /models + or auto-deployed models that should be removed before their TTL expires. + + By default, this only removes models that are currently running. Use force=true to attempt + removal even if the model is not running (useful for cleanup of paused, restarting, or stopped + containers). + """ + # TODO: This is a privileged operation requiring admin permissions (pending authz integration) + model_manager: ModelManager = config.model_manager + + all_models = get_model_containers(all=True) + matching_models = [m for m in all_models if m["service_name"] == model_name] + + if not matching_models: + if force: + try: + model_manager.delete_model(model_name) + return None + except Exception as e: + log.error(f"Failed to delete model record for '{model_name}': {str(e)}") + raise HTTPException( + status_code=500, detail=f"Failed to delete model record for '{model_name}'" + ) + else: + raise HTTPException( + status_code=404, detail=f"Container for model '{model_name}' not found" + ) + + model = matching_models[0] + + if model["container"].status != "running" and not force: + raise HTTPException( + status_code=404, + detail=( + f"Model '{model_name}' is not currently running." + " Use force=true to remove stopped containers." + ), + ) + + try: + stop_and_remove_model_container(model["container"]) + except DockerException as e: + log.error(f"Failed to remove container for model '{model_name}': {str(e)}") + raise HTTPException( + status_code=500, detail=f"Failed to remove container for model '{model_name}'" + ) + + try: + model_manager.delete_model(model_name) + except Exception as e: + # Skip raising since container is already removed + log.error(f"Error deleting model record {model_name} from database: {e}") + + return None + + @router.post( "/models/{model_name}/tasks/{task}", response_model=dict, tags=["models"], name="Schedule a task for execution on a running CogStack Model Serve instance", + dependencies=[Depends(ensure_model_dependency)], ) async def execute_task( model_name: str, @@ -330,7 +621,7 @@ async def execute_task( task_dict = { "uuid": task_uuid, "method": endpoint["method"], - "url": get_cms_url(model_name, endpoint["url"]), + "url": get_cms_url(resolve_model_host(model_name), endpoint["url"]), "content_type": content_type, "params": query_params, "refs": references, @@ -342,6 +633,8 @@ async def execute_task( qm: QueueManager = config.queue_manager qm.publish(task_dict, priority) + model_manager: ModelManager = config.model_manager + model_manager.record_model_usage(model_name) gateway_tasks_processed_total.labels(model=model_name, task=task).inc() return {"uuid": task_uuid, "status": "Task submitted successfully"} diff --git a/cogstack_model_gateway/gateway/routers/utils.py b/cogstack_model_gateway/gateway/routers/utils.py index 4e30c5d..993bc82 100644 --- a/cogstack_model_gateway/gateway/routers/utils.py +++ b/cogstack_model_gateway/gateway/routers/utils.py @@ -1,9 +1,12 @@ +import logging import re from typing import Annotated from fastapi import Header, HTTPException, Path, Request from cogstack_model_gateway.common.config import get_config +from cogstack_model_gateway.common.containers import get_models +from cogstack_model_gateway.common.tracking import TrackingClient from cogstack_model_gateway.common.utils import parse_content_type_header MODEL_NAME_REGEX = r"^[a-zA-Z0-9][a-zA-Z0-9_.-]+$" @@ -12,6 +15,8 @@ " alphanumeric characters, underscores (_), dots (.), and dashes (-)." ) +log = logging.getLogger("cmg.gateway") + def get_query_params(request: Request) -> dict[str, str]: """Get query parameters from a request.""" @@ -53,3 +58,69 @@ def get_cms_url(model_name: str, endpoint: str = None) -> str: base_url = f"{host_url}/{model_name}" if host_url else f"http://{model_name}:{server_port}" endpoint = endpoint.lstrip("/") if endpoint else "" return f"{base_url}/{endpoint}" if endpoint else base_url + + +def resolve_model_host(model_name: str) -> str: + """Resolve model name to IP address if needed for network communication.""" + if not get_config().models.deployment.use_ip_addresses: + log.debug("Using model name '%s' for network communication", model_name) + return model_name + + log.debug("Attempting to resolve model '%s' to IP address", model_name) + models = get_models(all=False, managed_only=False) + model_data = next( + (m for m in models if m["service_name"] == model_name or m["ip_address"] == model_name), + None, + ) + + if model_data and model_data.get("ip_address"): + log.info("Resolved model '%s' to IP '%s'", model_name, model_data["ip_address"]) + return model_data["ip_address"] + + log.warning("Unable to resolve name to IP for model '%s', using name as fallback", model_name) + return model_name + + +def resolve_and_validate_model_uri( + tracking_id: str | None, + model_uri: str | None, + tracking_client: TrackingClient, + require_validation: bool, +) -> tuple[str, str | None]: + """Resolve tracking_id to model_uri and optionally validate. + + Args: + tracking_id: Optional tracking ID to resolve + model_uri: Optional explicit model URI + tracking_client: Tracking client for resolution/validation + require_validation: Whether to validate the model URI exists + + Returns: + Tuple of (resolved_model_uri, tracking_id) + + Raises: + HTTPException(400): If neither `tracking_id` nor `model_uri` provided + HTTPException(404): If `tracking_id` doesn't resolve or validation fails + """ + if not tracking_id and not model_uri: + raise HTTPException( + status_code=400, detail="At least one of `tracking_id` or `model_uri` must be provided." + ) + + if not model_uri and tracking_id: + model_uri = tracking_client.get_model_uri(tracking_id) + if not model_uri: + raise HTTPException( + status_code=404, detail=f"Model not found for tracking ID '{tracking_id}'." + ) + + if require_validation and model_uri: + model_metadata = tracking_client.get_model_metadata(model_uri) + if model_metadata is None: + raise HTTPException( + status_code=404, + detail=f"Model URI '{model_uri}' could not be validated. Model may not exist.", + ) + log.debug(f"Validated model URI '{model_uri}': {model_metadata}") + + return model_uri, tracking_id diff --git a/cogstack_model_gateway/gateway/schemas.py b/cogstack_model_gateway/gateway/schemas.py new file mode 100644 index 0000000..24d83df --- /dev/null +++ b/cogstack_model_gateway/gateway/schemas.py @@ -0,0 +1,135 @@ +from typing import Any + +from pydantic import BaseModel, Field + +from cogstack_model_gateway.common.config.models import DeploySpec, TrackingMetadata +from cogstack_model_gateway.common.models import OnDemandModelConfig + + +class ModelResponse(BaseModel): + """Unified model response schema. + + Non-verbose response (default) includes only: + - name, uri, is_running + + Verbose response (verbose=true) additionally includes: + - description, model_type, deployment_type, idle_ttl, resources, runtime, tracking + """ + + # Non-verbose fields + name: str = Field(..., description="Model service/container name") + uri: str | None = Field(None, description="Tracking server model URI") + is_running: bool = Field(..., description="Whether the model server is currently running") + + # Verbose-only fields + description: str | None = Field(None, description="Human-readable model description") + model_type: str | None = Field(None, description="Model type (e.g. 'medcat_deid')") + deployment_type: str | None = Field( + None, description="Deployment type: 'auto', 'manual', or 'static'" + ) + idle_ttl: int | None = Field(None, description="Idle TTL in seconds (for 'auto' deployments)") + deploy: DeploySpec | None = Field(None, description="Deployment specification") + runtime: dict[str, Any] | None = Field( + None, description="CMS /info response (verbose only, running models only)" + ) + tracking: TrackingMetadata | None = Field( + None, description="Model metadata from the configured tracking server (verbose only)" + ) + + +class ModelsListResponse(BaseModel): + """Response schema for GET /models/ endpoint.""" + + running: list[ModelResponse] = Field(..., description="Currently running model containers") + on_demand: list[ModelResponse] = Field(..., description="Models available on-demand") + + +class OnDemandModelCreate(BaseModel): + """Schema for creating a new on-demand model configuration.""" + + model_name: str = Field( + ..., + description="Docker service/container name for the model", + examples=["medcat-snomed-large", "medcat-umls-small"], + ) + model_uri: str | None = Field( + None, + description=( + "URI pointing to the model artifact (e.g. MLflow model URI)." + " Either `tracking_id` or `model_uri` must be provided (unless `inherit_config=true`)." + " If both provided, `model_uri` takes precedence." + ), + examples=["models:/medcat-snomed/Production", "s3://models/medcat/v1.0.zip"], + ) + tracking_id: str | None = Field( + None, + description=( + "Tracking server run ID (e.g. MLflow run ID) to resolve model URI." + " Either `tracking_id` or `model_uri` must be provided (unless `inherit_config=true`)." + ), + examples=["a1b2c3d4e5f6", "mlflow-run-123"], + ) + idle_ttl: int | None = Field( + None, + description=( + "Idle TTL in seconds (uses system default if omitted or inherits from previous config))" + ), + gt=0, + examples=[3600, 7200], + ) + description: str | None = Field( + None, + description="Human-readable description of the model", + examples=["Large SNOMED CT model for clinical NLP"], + ) + deploy: DeploySpec | None = Field( + None, description="Deployment specification (resources, placement, etc)" + ) + replace_enabled: bool = Field( + True, + description=( + "If true and an enabled config exists, disable it and create a new one," + " replacing it as the enabled one." + ), + ) + inherit_config: bool = Field( + True, + description=( + "If true, inherit settings from the currently enabled config for this model name." + " Only explicitly provided fields will override inherited values." + ), + ) + + +class OnDemandModelUpdate(BaseModel): + """Schema for updating an on-demand model configuration. + + All fields are optional; only provided fields will be updated. Use clear_* flags to explicitly + unset optional fields. + """ + + model_uri: str | None = Field(None, description="New URI pointing to the model artifact") + tracking_id: str | None = Field( + None, + description=( + "Update tracking ID. If `model_uri` is not provided, the tracking ID is used to" + " resolve the model URI." + ), + ) + idle_ttl: int | None = Field(None, description="New idle TTL in seconds", gt=0) + description: str | None = Field(None, description="New description") + deploy: DeploySpec | None = Field(None, description="New deployment specification") + + clear_tracking_id: bool = Field(False, description="Clear `tracking_id` reference") + clear_idle_ttl: bool = Field(False, description="Set `idle_ttl` to null (use system default)") + clear_description: bool = Field(False, description="Set `description` to null") + clear_deploy: bool = Field(False, description="Set `deploy` specification to null") + + +class OnDemandModelListResponse(BaseModel): + """Response schema for listing on-demand model configurations.""" + + configs: list[OnDemandModelConfig] = Field( + ..., description="List of on-demand model configurations" + ) + total: int = Field(..., description="Total number of configurations returned") diff --git a/cogstack_model_gateway/migrations/Dockerfile b/cogstack_model_gateway/migrations/Dockerfile index 1033f95..d80b140 100644 --- a/cogstack_model_gateway/migrations/Dockerfile +++ b/cogstack_model_gateway/migrations/Dockerfile @@ -23,8 +23,7 @@ ENV PYTHONPATH=/app COPY pyproject.toml poetry.lock ./ RUN poetry install --with migrations --no-root --no-directory -COPY cogstack_model_gateway/common/db.py ./cogstack_model_gateway/common/db.py -COPY cogstack_model_gateway/common/tasks.py ./cogstack_model_gateway/common/tasks.py +COPY cogstack_model_gateway/common ./cogstack_model_gateway/common COPY cogstack_model_gateway/migrations ./cogstack_model_gateway/migrations CMD ["poetry", "run", "alembic", "-c", "cogstack_model_gateway/migrations/alembic.ini", "upgrade", "head"] diff --git a/cogstack_model_gateway/migrations/env.py b/cogstack_model_gateway/migrations/env.py index 81be386..872def1 100644 --- a/cogstack_model_gateway/migrations/env.py +++ b/cogstack_model_gateway/migrations/env.py @@ -22,6 +22,7 @@ # for 'autogenerate' support # from myapp import mymodel # target_metadata = mymodel.Base.metadata +from cogstack_model_gateway.common.models import Model # noqa: E402, F401 from cogstack_model_gateway.common.tasks import SQLModel, Task # noqa: E402, F401 target_metadata = SQLModel.metadata diff --git a/cogstack_model_gateway/migrations/versions/000000000000_initial_schema.py b/cogstack_model_gateway/migrations/versions/000000000000_initial_schema.py new file mode 100644 index 0000000..8dea998 --- /dev/null +++ b/cogstack_model_gateway/migrations/versions/000000000000_initial_schema.py @@ -0,0 +1,41 @@ +"""Initial schema + +Revision ID: 000000000000 +Revises: +Create Date: 2025-11-19 00:00:00.000000 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "000000000000" +down_revision: str | Sequence[str] | None = None +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Create initial task table.""" + op.create_table( + "task", + sa.Column("uuid", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column( + "status", + sa.Enum("PENDING", "SCHEDULED", "RUNNING", "SUCCEEDED", "FAILED", name="status"), + nullable=False, + ), + sa.Column("result", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("error_message", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("tracking_id", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.PrimaryKeyConstraint("uuid"), + ) + + +def downgrade() -> None: + """Drop initial task table.""" + op.drop_table("task") diff --git a/cogstack_model_gateway/migrations/versions/1859866dbf86_extend_task_with_request_info_and_.py b/cogstack_model_gateway/migrations/versions/1859866dbf86_extend_task_with_request_info_and_.py index f59485e..dd574b3 100644 --- a/cogstack_model_gateway/migrations/versions/1859866dbf86_extend_task_with_request_info_and_.py +++ b/cogstack_model_gateway/migrations/versions/1859866dbf86_extend_task_with_request_info_and_.py @@ -1,7 +1,7 @@ """Extend Task with request info and timestamps Revision ID: 1859866dbf86 -Revises: +Revises: 000000000000 Create Date: 2025-06-19 17:29:59.695124 """ @@ -14,7 +14,7 @@ # revision identifiers, used by Alembic. revision: str = "1859866dbf86" -down_revision: str | Sequence[str] | None = None +down_revision: str | Sequence[str] | None = "000000000000" branch_labels: str | Sequence[str] | None = None depends_on: str | Sequence[str] | None = None diff --git a/cogstack_model_gateway/migrations/versions/232402d894ee_add_on_demand_model_config_table.py b/cogstack_model_gateway/migrations/versions/232402d894ee_add_on_demand_model_config_table.py new file mode 100644 index 0000000..cf330d9 --- /dev/null +++ b/cogstack_model_gateway/migrations/versions/232402d894ee_add_on_demand_model_config_table.py @@ -0,0 +1,67 @@ +"""Add On-Demand Model Config table + +Revision ID: 232402d894ee +Revises: a8d0956c543f +Create Date: 2025-12-10 12:50:13.827211 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "232402d894ee" +down_revision: str | Sequence[str] | None = "a8d0956c543f" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "ondemandmodelconfig", + sa.Column("id", sa.Integer(), nullable=False), + sa.Column("model_name", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("model_uri", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("tracking_id", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("idle_ttl", sa.Integer(), nullable=False), + sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("deploy_spec_json", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("enabled", sa.Boolean(), nullable=False), + sa.Column("created_at", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("updated_at", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + "ix_on_demand_unique_enabled", + "ondemandmodelconfig", + ["model_name"], + unique=True, + postgresql_where=sa.text("enabled = true"), + sqlite_where=sa.text("enabled = 1"), + ) + op.create_index( + op.f("ix_ondemandmodelconfig_model_name"), + "ondemandmodelconfig", + ["model_name"], + unique=False, + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index(op.f("ix_ondemandmodelconfig_model_name"), table_name="ondemandmodelconfig") + op.drop_index( + "ix_on_demand_unique_enabled", + table_name="ondemandmodelconfig", + postgresql_where=sa.text("enabled = true"), + sqlite_where=sa.text("enabled = 1"), + ) + op.drop_table("ondemandmodelconfig") + # ### end Alembic commands ### diff --git a/cogstack_model_gateway/migrations/versions/a8d0956c543f_add_model_table.py b/cogstack_model_gateway/migrations/versions/a8d0956c543f_add_model_table.py new file mode 100644 index 0000000..f8ef50b --- /dev/null +++ b/cogstack_model_gateway/migrations/versions/a8d0956c543f_add_model_table.py @@ -0,0 +1,50 @@ +"""Add model server table for lifecycle and usage management + +Revision ID: a8d0956c543f +Revises: 1859866dbf86 +Create Date: 2025-11-18 17:07:06.957505 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "a8d0956c543f" +down_revision: str | Sequence[str] | None = "1859866dbf86" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Upgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "model", + sa.Column("model_name", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column( + "deployment_type", + sa.Enum("AUTO", "MANUAL", "STATIC", name="modeldeploymenttype"), + nullable=False, + ), + sa.Column("created_at", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("ready", sa.Boolean(), nullable=False), + sa.Column("last_used_at", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("idle_ttl", sa.Integer(), nullable=True), + sa.PrimaryKeyConstraint("model_name"), + ) + op.create_index("ix_model_usage_deployment_type", "model", ["deployment_type"], unique=False) + op.create_index("ix_model_usage_last_used_at", "model", ["last_used_at"], unique=False) + # ### end Alembic commands ### + + +def downgrade() -> None: + """Downgrade schema.""" + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index("ix_model_usage_last_used_at", table_name="model") + op.drop_index("ix_model_usage_deployment_type", table_name="model") + op.drop_table("model") + # ### end Alembic commands ### diff --git a/cogstack_model_gateway/ripper/Dockerfile b/cogstack_model_gateway/ripper/Dockerfile index deddfcf..a71b799 100644 --- a/cogstack_model_gateway/ripper/Dockerfile +++ b/cogstack_model_gateway/ripper/Dockerfile @@ -20,12 +20,12 @@ RUN curl -sSL https://install.python-poetry.org | python3 - WORKDIR /app COPY pyproject.toml poetry.lock ./ -RUN poetry install --only ripper --no-root --no-directory +RUN poetry install --only main --no-root --no-directory COPY cogstack_model_gateway/common ./cogstack_model_gateway/common COPY cogstack_model_gateway/ripper ./cogstack_model_gateway/ripper -COPY config.json README.md ./ +COPY README.md ./ -RUN poetry install --only ripper +RUN poetry install --only main CMD ["poetry", "run", "python3", "cogstack_model_gateway/ripper/main.py"] diff --git a/cogstack_model_gateway/ripper/main.py b/cogstack_model_gateway/ripper/main.py index 1437124..f516d36 100644 --- a/cogstack_model_gateway/ripper/main.py +++ b/cogstack_model_gateway/ripper/main.py @@ -4,81 +4,182 @@ import time from concurrent.futures import ThreadPoolExecutor, as_completed from datetime import UTC, datetime, timedelta +from enum import Enum -import docker from dateutil import parser from docker.models.containers import Container from prometheus_client import start_http_server -from cogstack_model_gateway.common.containers import ( - IS_MODEL_LABEL, - MANAGED_BY_LABEL, - MANAGED_BY_LABEL_VALUE, - TTL_LABEL, -) +from cogstack_model_gateway.common.config import Config, load_config +from cogstack_model_gateway.common.containers import get_models, stop_and_remove_model_container +from cogstack_model_gateway.common.db import DatabaseManager from cogstack_model_gateway.common.logging import configure_logging -from cogstack_model_gateway.ripper.prometheus.metrics import containers_purged_total +from cogstack_model_gateway.common.models import ModelDeploymentType, ModelManager +from cogstack_model_gateway.ripper.prometheus.metrics import ( + containers_checked_total, + containers_purged_total, + model_idle_time_seconds, +) + + +class RemovalReason(Enum): + FIXED_TTL_EXPIRED = "fixed_ttl_expired" + IDLE_TTL_EXPIRED = "idle_ttl_expired" -PURGE_INTERVAL = int(os.getenv("CMG_RIPPER_INTERVAL") or 60) -METRICS_PORT = int(os.getenv("CMG_RIPPER_METRICS_PORT") or 8002) log = logging.getLogger("cmg.ripper") -def stop_and_remove_container(container: Container): - """Stop and remove a Docker container.""" - log.info(f"Stopping and removing expired container: {container.name}") - container.stop() - container.remove() - containers_purged_total.inc() +def stop_and_remove_container( + container: Container, + model_name: str, + model_manager: ModelManager, + deployment_type: ModelDeploymentType, + reason: RemovalReason, + idle_time: float | None = None, +): + """Stop and remove a Docker container and delete its database record.""" + log.info( + f"Stopping and removing container: {container.name}" + f" (model={model_name}, deployment_type={deployment_type.value}, reason={reason.value})" + ) + + try: + stop_and_remove_model_container(container) + except Exception as e: + log.error(f"Error removing container {container.name}: {e}") + raise + + try: + model_manager.delete_model(model_name) + except Exception as e: + # Skip raising since container is already removed + log.error(f"Error deleting model record {model_name} from database: {e}") + + containers_purged_total.labels(deployment_type=deployment_type.value, reason=reason.value).inc() + + if reason == RemovalReason.IDLE_TTL_EXPIRED and idle_time is not None: + model_idle_time_seconds.labels(model=model_name).observe(idle_time) + + +def should_remove_by_fixed_ttl(container: Container, ttl_label: str) -> bool: + """Check if a container should be removed based on fixed TTL from labels.""" + ttl = int(container.labels.get(ttl_label, -1)) + + if ttl == -1: + return False # Skip containers with TTL set to -1 + created_at = parser.isoparse(container.attrs["Created"]) + expiration_time = created_at + timedelta(seconds=ttl) -def purge_expired_containers(): + return datetime.now(UTC) >= expiration_time + + +def should_remove_by_idle_ttl(model_name: str, model_manager: ModelManager) -> tuple[bool, float]: + """Check if a container should be removed based on its idle time.""" + return model_manager.is_model_idle(model_name) + + +def purge_expired_containers(config: Config): """Run periodically and purge Docker containers that have exceeded their TTL. List Docker containers and fetch the ones managed by the CogStack Model Gateway that correspond - to model servers according to their labels. For each container, check if it has a TTL label set - and if the current time exceeds the expiration time; if so, stop and remove the container - (containers without a TTL label or with a TTL value of -1 are skipped). Finally, sleep for the - specified interval before repeating the process. + to model servers according to their labels, implementing a dual TTL strategy based on deployment + type: + - STATIC: These models are not managed by the Gateway and should never be auto-removed (skip) + - MANUAL: Fixed TTL from container labels (time since creation; containers without a TTL label + or with a TTL value of -1 are skipped) + - AUTO: Idle TTL from database records (time since last usage) + + After removing a container, also delete the corresponding model record from database. Finally, + sleep for the specified interval before repeating the process. """ - client = docker.from_env() + model_manager: ModelManager = config.model_manager while True: - now = datetime.now(UTC) - - containers = client.containers.list( - filters={"label": [f"{MANAGED_BY_LABEL}={MANAGED_BY_LABEL_VALUE}", IS_MODEL_LABEL]}, - ) + models = get_models(all=True, managed_only=True) + log.debug(f"Checking {len(models)} managed containers for expiration") with ThreadPoolExecutor() as executor: futures = [] - for container in containers: - container: Container - ttl = int(container.labels.get(TTL_LABEL, -1)) - - if ttl == -1: - continue # Skip containers with TTL set to -1 - - created_at = parser.isoparse(container.attrs["Created"]) - expiration_time = created_at + timedelta(seconds=ttl) - - if now >= expiration_time: - futures.append(executor.submit(stop_and_remove_container, container)) + for model in models: + container: Container = model["container"] + model_name = model["service_name"] + + try: + deployment_type = ModelDeploymentType(model["deployment_type"]) + containers_checked_total.labels(deployment_type=deployment_type.value).inc() + except ValueError: + log.warning( + f"Unknown deployment type '{model['deployment_type']}' for container" + f" {container.name}, skipping removal" + ) + continue + + if deployment_type == ModelDeploymentType.STATIC: + log.debug(f"Skipping static deployment: {container.name}") + continue + + elif deployment_type == ModelDeploymentType.MANUAL: + if should_remove_by_fixed_ttl(container, config.labels.ttl_label): + log.info(f"Manual deployment {container.name} exceeded fixed TTL") + futures.append( + executor.submit( + stop_and_remove_container, + container, + model_name, + model_manager, + deployment_type, + RemovalReason.FIXED_TTL_EXPIRED, + ) + ) + + elif deployment_type == ModelDeploymentType.AUTO: + should_remove, idle_time = should_remove_by_idle_ttl(model_name, model_manager) + if should_remove: + log.info( + f"Auto deployment {container.name} exceeded idle TTL" + f" (idle time ~{idle_time:.0f}s)" + ) + futures.append( + executor.submit( + stop_and_remove_container, + container, + model_name, + model_manager, + deployment_type, + RemovalReason.IDLE_TTL_EXPIRED, + idle_time, + ) + ) for future in as_completed(futures): - future.result() + try: + future.result() + except Exception as e: + log.error(f"Error removing container: {e}") - time.sleep(PURGE_INTERVAL) + time.sleep(config.ripper.interval) def main(): """Run the ripper service.""" configure_logging() + config = load_config(os.getenv("CONFIG_FILE")) + config.model_manager = ModelManager( + db_manager=DatabaseManager( + user=config.db.user, + password=config.db.password, + host=config.db.host, + port=config.db.port, + db_name=config.db.name, + ) + ) - start_http_server(METRICS_PORT) + start_http_server(config.ripper.metrics_port) - purge_expired_containers() + log.info(f"Starting ripper with interval={config.ripper.interval}s") + purge_expired_containers(config) if __name__ == "__main__": diff --git a/cogstack_model_gateway/ripper/prometheus/metrics.py b/cogstack_model_gateway/ripper/prometheus/metrics.py index eebdf3e..7f90998 100644 --- a/cogstack_model_gateway/ripper/prometheus/metrics.py +++ b/cogstack_model_gateway/ripper/prometheus/metrics.py @@ -1,6 +1,37 @@ -from prometheus_client import Counter +from prometheus_client import Counter, Histogram containers_purged_total = Counter( "ripper_containers_purged_total", "Total number of Docker containers purged by the Ripper", + ["deployment_type", "reason"], +) + +containers_checked_total = Counter( + "ripper_containers_checked_total", + "Total number of Docker containers checked by the Ripper", + ["deployment_type"], +) + +model_idle_time_seconds = Histogram( + "ripper_model_idle_time_seconds", + "Time in seconds that a model has been idle before removal", + ["model"], + buckets=[ + 60, # 1 minute + 300, # 5 minutes + 600, # 10 minutes + 1800, # 30 minutes + 3600, # 1 hour + 7200, # 2 hours + 14400, # 4 hours + 28800, # 8 hours + 86400, # 1 day + 172800, # 2 days + 432000, # 5 days + 604800, # 1 week + 1209600, # 2 weeks + 2592000, # 1 month + 15552000, # 6 months + 31536000, # 1 year + ], ) diff --git a/cogstack_model_gateway/scheduler/Dockerfile b/cogstack_model_gateway/scheduler/Dockerfile index 1a44c78..cba0f78 100644 --- a/cogstack_model_gateway/scheduler/Dockerfile +++ b/cogstack_model_gateway/scheduler/Dockerfile @@ -24,7 +24,7 @@ RUN poetry install --only main --no-root --no-directory COPY cogstack_model_gateway/common ./cogstack_model_gateway/common COPY cogstack_model_gateway/scheduler ./cogstack_model_gateway/scheduler -COPY config.json README.md ./ +COPY README.md ./ RUN poetry install --only main diff --git a/cogstack_model_gateway/scheduler/main.py b/cogstack_model_gateway/scheduler/main.py index dfe8d74..403f1b7 100644 --- a/cogstack_model_gateway/scheduler/main.py +++ b/cogstack_model_gateway/scheduler/main.py @@ -1,4 +1,5 @@ import logging +import os import sys from prometheus_client import start_http_server @@ -9,6 +10,7 @@ from cogstack_model_gateway.common.object_store import ObjectStoreManager from cogstack_model_gateway.common.queue import QueueManager from cogstack_model_gateway.common.tasks import TaskManager +from cogstack_model_gateway.common.tracking import TrackingClient from cogstack_model_gateway.scheduler.scheduler import Scheduler log = logging.getLogger("cmg.scheduler") @@ -20,43 +22,51 @@ def initialize_connections( """Initialize database, object store, queue, and task manager connections for the scheduler.""" log.info("Initializing database and queue connections") dbm = DatabaseManager( - user=config.cmg.db_user, - password=config.cmg.db_password, - host=config.cmg.db_host, - port=config.cmg.db_port, - db_name=config.cmg.db_name, + user=config.db.user, + password=config.db.password, + host=config.db.host, + port=config.db.port, + db_name=config.db.name, ) - dbm.init_db() task_osm = ObjectStoreManager( - host=config.cmg.object_store_host, - port=config.cmg.object_store_port, - access_key=config.cmg.object_store_access_key, - secret_key=config.cmg.object_store_secret_key, - default_bucket=config.cmg.object_store_bucket_tasks, + host=config.object_store.host, + port=config.object_store.port, + access_key=config.object_store.access_key, + secret_key=config.object_store.secret_key, + default_bucket=config.object_store.bucket_tasks, ) results_osm = ObjectStoreManager( - host=config.cmg.object_store_host, - port=config.cmg.object_store_port, - access_key=config.cmg.object_store_access_key, - secret_key=config.cmg.object_store_secret_key, - default_bucket=config.cmg.object_store_bucket_results, + host=config.object_store.host, + port=config.object_store.port, + access_key=config.object_store.access_key, + secret_key=config.object_store.secret_key, + default_bucket=config.object_store.bucket_results, ) qm = QueueManager( - user=config.cmg.queue_user, - password=config.cmg.queue_password, - host=config.cmg.queue_host, - port=config.cmg.queue_port, - queue_name=config.cmg.queue_name, - max_concurrent_tasks=int(config.cmg.scheduler_max_concurrent_tasks), + user=config.queue.user, + password=config.queue.password, + host=config.queue.host, + port=config.queue.port, + queue_name=config.queue.name, + max_concurrent_tasks=config.scheduler.max_concurrent_tasks, ) qm.init_queue() tm = TaskManager(db_manager=dbm) - return dbm, task_osm, results_osm, qm, tm + tc = TrackingClient( + tracking_uri=config.tracking.uri, + username=config.tracking.username, + password=config.tracking.password, + s3_endpoint_url=config.tracking.s3.endpoint_url, + s3_access_key_id=config.tracking.s3.access_key_id, + s3_secret_access_key=config.tracking.s3.secret_access_key, + ) + + return dbm, task_osm, results_osm, qm, tm, tc def main(): @@ -66,16 +76,17 @@ def main(): urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) configure_logging() - config = load_config() + config = load_config(os.getenv("CONFIG_FILE")) connections = initialize_connections(config) - start_http_server(int(config.cmg.scheduler_metrics_port)) + start_http_server(config.scheduler.metrics_port) scheduler = Scheduler( task_object_store_manager=connections[1], results_object_store_manager=connections[2], queue_manager=connections[3], task_manager=connections[4], + tracking_client=connections[5], ) scheduler.run() diff --git a/cogstack_model_gateway/scheduler/scheduler.py b/cogstack_model_gateway/scheduler/scheduler.py index dce4cb5..1ee480a 100644 --- a/cogstack_model_gateway/scheduler/scheduler.py +++ b/cogstack_model_gateway/scheduler/scheduler.py @@ -30,8 +30,9 @@ def __init__( results_object_store_manager: ObjectStoreManager, queue_manager: QueueManager, task_manager: TaskManager, + tracking_client: TrackingClient, ): - self.tracking_client = TrackingClient() + self.tracking_client = tracking_client self.task_object_store_manager = task_object_store_manager self.results_object_store_manager = results_object_store_manager self.queue_manager = queue_manager diff --git a/config.example.jsonc b/config.example.jsonc new file mode 100644 index 0000000..16da542 --- /dev/null +++ b/config.example.jsonc @@ -0,0 +1,86 @@ +{ + "tracking": { + "uri": "http://mlflow-ui:5000", // use container IP when running locally + "username": "admin", + "password": "password", + "s3": { + // Using a read-only service account is recommended here, even if the endpoint ends up + // being the same as the one configured for the CMS instances which need write access to + // log training artifacts + "access_key_id": null, + "secret_access_key": null, + "endpoint_url": "http://minio:9000" // use container IP when running locally + }, + "enable_system_metrics_logging": true + }, + "cms": { + // Useful when running CogStack ModelServe instances behind a proxy. + // If omitted, the Gateway will attempt to reach the services directly over the internal + // Docker network. Use container IP when running locally. + "host_url": "https://proxy/cms", // use container IP when running locally + "project_name": "cms", + "server_port": 8000, + "network": "cogstack-model-serve_cms", + "image": "cogstacksystems/cogstack-modelserve:latest", + "volumes": {"retrained-models": "/app/model/retrained"}, + "gelf_input_uri": "http://graylog:12201", + "enable_evaluation_apis": true, + "enable_previews_apis": true, + "enable_training_apis": true, + "tracking": { + "uri": "http://mlflow-ui:5000", + "username": "admin", + "password": "password", + "s3": { + "access_key_id": null, + "secret_access_key": null, + "endpoint_url": "http://minio:9000" + }, + "enable_system_metrics_logging": true + }, + "auth": { + "user_enabled": false, + "jwt_secret": null, + "access_token_expire_seconds": 3600, + "database_url": "sqlite+aiosqlite:///./cms-users.db" + }, + "proxy": { + "http_proxy": null, + "https_proxy": null, + "no_proxy": "mlflow-ui,minio,graylog,auth-db,localhost" + }, + "health_check": { + "interval": 90, + "timeout": 10, + "retries": 3, + "start_period": 60 + } + }, + "models": { + "deployment": { + "auto": { + "health_check_timeout": 300, + "default_idle_ttl": 3600, + "max_concurrent_deployments": 3, + "deployment_retry_attempts": 2, + "require_model_uri_validation": false + }, + "manual": { + "default_ttl": 86400, + "allow_ttl_override": true, + "max_ttl": 604800, + "require_model_uri_validation": false + }, + "static": {}, + "use_ip_addresses": false + } + }, + "labels": { + "cms_model_label": "org.cogstack.model-serve", + "cms_model_uri_label": "org.cogstack.model-serve.uri", + "deployment_type_label": "org.cogstack.model-gateway.deployment-type", + "managed_by_label": "org.cogstack.model-gateway.managed-by", + "managed_by_value": "cmg", + "ttl_label": "org.cogstack.model-gateway.ttl" + } +} diff --git a/config.json b/config.json index ed6dfa5..2ba5833 100644 --- a/config.json +++ b/config.json @@ -1,7 +1,12 @@ { - "priority": { - "high": 1, - "medium": 2, - "low": 3 + "cms": { + "image": "cogstacksystems/cogstack-modelserve:sha-19eb765" + }, + "models": { + "deployment": { + "manual": { + "max_ttl": 604800 + } + } } } diff --git a/docker-compose.yaml b/docker-compose.yaml index d8fa526..8f33732 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -1,7 +1,7 @@ name: cmg services: - postgres: + db: image: postgres:17.2 restart: always labels: @@ -17,7 +17,7 @@ services: ports: - 5432 networks: - - postgres + - db - gateway volumes: - pg-data:/var/lib/postgresql/data/ @@ -27,7 +27,7 @@ services: timeout: 20s retries: 3 - minio: + object-store: image: minio/minio:RELEASE.2024-11-07T00-52-20Z restart: always labels: @@ -54,7 +54,7 @@ services: timeout: 20s retries: 3 - rabbitmq: + queue: image: rabbitmq:4.0.4-management-alpine restart: always labels: @@ -83,30 +83,30 @@ services: labels: - org.cogstack.model-gateway.commit=$CMG_COMMIT_SHA environment: + - CONFIG_FILE=/app/config.json - CMG_DB_USER=$CMG_DB_USER - CMG_DB_PASSWORD=$CMG_DB_PASSWORD - - CMG_DB_HOST=postgres + - CMG_DB_HOST=db - CMG_DB_PORT=5432 - CMG_DB_NAME=$CMG_DB_NAME - CMG_OBJECT_STORE_ACCESS_KEY=$CMG_OBJECT_STORE_ACCESS_KEY - CMG_OBJECT_STORE_SECRET_KEY=$CMG_OBJECT_STORE_SECRET_KEY - - CMG_OBJECT_STORE_HOST=minio + - CMG_OBJECT_STORE_HOST=object-store - CMG_OBJECT_STORE_PORT=9000 - CMG_QUEUE_USER=$CMG_QUEUE_USER - CMG_QUEUE_PASSWORD=$CMG_QUEUE_PASSWORD - - CMG_QUEUE_HOST=rabbitmq + - CMG_QUEUE_HOST=queue - CMG_QUEUE_PORT=5672 - CMG_QUEUE_NAME=$CMG_QUEUE_NAME - CMG_COMMON_LOG_LEVEL=$CMG_COMMON_LOG_LEVEL - CMG_GATEWAY_LOG_LEVEL=$CMG_GATEWAY_LOG_LEVEL - - CMS_PROJECT_NAME=$CMS_PROJECT_NAME - PROMETHEUS_MULTIPROC_DIR=/tmp/prometheus - HTTP_PROXY=$HTTP_PROXY - HTTPS_PROXY=$HTTPS_PROXY - - NO_PROXY=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - NO_PROXY=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT - http_proxy=$HTTP_PROXY - https_proxy=$HTTPS_PROXY - - no_proxy=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - no_proxy=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT env_file: - .env expose: @@ -115,12 +115,13 @@ services: - "${CMG_HOST_PORT:-8888}:8000" volumes: - /var/run/docker.sock:/var/run/docker.sock + - ./config.json:/app/config.json:ro depends_on: - postgres: + db: condition: service_healthy - minio: + object-store: condition: service_healthy - rabbitmq: + queue: condition: service_healthy migrations: condition: service_completed_successfully @@ -140,40 +141,42 @@ services: labels: - org.cogstack.model-gateway.commit=$CMG_COMMIT_SHA environment: + - CONFIG_FILE=/app/config.json - CMG_DB_USER=$CMG_DB_USER - CMG_DB_PASSWORD=$CMG_DB_PASSWORD - - CMG_DB_HOST=postgres + - CMG_DB_HOST=db - CMG_DB_PORT=5432 - CMG_DB_NAME=$CMG_DB_NAME - CMG_OBJECT_STORE_ACCESS_KEY=$CMG_OBJECT_STORE_ACCESS_KEY - CMG_OBJECT_STORE_SECRET_KEY=$CMG_OBJECT_STORE_SECRET_KEY - - CMG_OBJECT_STORE_HOST=minio + - CMG_OBJECT_STORE_HOST=object-store - CMG_OBJECT_STORE_PORT=9000 - CMG_QUEUE_USER=$CMG_QUEUE_USER - CMG_QUEUE_PASSWORD=$CMG_QUEUE_PASSWORD - - CMG_QUEUE_HOST=rabbitmq + - CMG_QUEUE_HOST=queue - CMG_QUEUE_PORT=5672 - CMG_QUEUE_NAME=$CMG_QUEUE_NAME - CMG_COMMON_LOG_LEVEL=$CMG_COMMON_LOG_LEVEL - CMG_SCHEDULER_LOG_LEVEL=$CMG_SCHEDULER_LOG_LEVEL - - CMG_SCHEDULER_MAX_CONCURRENT_TASKS=$CMG_SCHEDULER_MAX_CONCURRENT_TASKS - - MLFLOW_TRACKING_URI=$MLFLOW_TRACKING_URI + - CMG_SCHEDULER_MAX_CONCURRENT_TASKS=${CMG_SCHEDULER_MAX_CONCURRENT_TASKS:-1} - HTTP_PROXY=$HTTP_PROXY - HTTPS_PROXY=$HTTPS_PROXY - - NO_PROXY=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - NO_PROXY=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT - http_proxy=$HTTP_PROXY - https_proxy=$HTTPS_PROXY - - no_proxy=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - no_proxy=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT env_file: - .env expose: - ${CMG_SCHEDULER_METRICS_PORT:-8001} + volumes: + - ./config.json:/app/config.json:ro depends_on: - postgres: + db: condition: service_healthy - minio: + object-store: condition: service_healthy - rabbitmq: + queue: condition: service_healthy migrations: condition: service_completed_successfully @@ -188,22 +191,30 @@ services: labels: - org.cogstack.model-gateway.commit=$CMG_COMMIT_SHA environment: + - CONFIG_FILE=/app/config.json - CMG_COMMON_LOG_LEVEL=$CMG_COMMON_LOG_LEVEL - CMG_RIPPER_LOG_LEVEL=$CMG_RIPPER_LOG_LEVEL - - CMG_RIPPER_INTERVAL=$CMG_RIPPER_INTERVAL + - CMG_RIPPER_INTERVAL=${CMG_RIPPER_INTERVAL:-60} - HTTP_PROXY=$HTTP_PROXY - HTTPS_PROXY=$HTTPS_PROXY - - NO_PROXY=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - NO_PROXY=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT - http_proxy=$HTTP_PROXY - https_proxy=$HTTPS_PROXY - - no_proxy=minio,mlflow-ui,postgres,rabbitmq,localhost,proxy,$CMG_NO_PROXY_EXT + - no_proxy=db,mlflow-ui,object-store,queue,localhost,proxy,$CMG_NO_PROXY_EXT env_file: - .env expose: - ${CMG_RIPPER_METRICS_PORT:-8002} volumes: - /var/run/docker.sock:/var/run/docker.sock + - ./config.json:/app/config.json:ro + depends_on: + db: + condition: service_healthy + migrations: + condition: service_completed_successfully networks: + - gateway - observability migrations: @@ -213,20 +224,20 @@ services: environment: - CMG_DB_USER=$CMG_DB_USER - CMG_DB_PASSWORD=$CMG_DB_PASSWORD - - CMG_DB_HOST=postgres + - CMG_DB_HOST=db - CMG_DB_PORT=5432 - CMG_DB_NAME=$CMG_DB_NAME - HTTP_PROXY=$HTTP_PROXY - HTTPS_PROXY=$HTTPS_PROXY - - NO_PROXY=postgres + - NO_PROXY=db - http_proxy=$HTTP_PROXY - https_proxy=$HTTPS_PROXY - - no_proxy=postgres + - no_proxy=db depends_on: - postgres: + db: condition: service_healthy networks: - - postgres + - db prometheus: image: prom/prometheus:v3.4.1 @@ -302,10 +313,10 @@ services: ports: - 80 depends_on: - postgres: + db: condition: service_healthy networks: - - postgres + - db volumes: - pgadmin-data:/var/lib/pgadmin/ @@ -324,7 +335,7 @@ volumes: driver: local networks: - postgres: + db: driver: bridge gateway: driver: bridge diff --git a/poetry.lock b/poetry.lock index d0aa0de..9e1ec05 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,15 +1,15 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. [[package]] name = "alembic" -version = "1.16.2" +version = "1.17.1" description = "A database migration tool for SQLAlchemy." optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" groups = ["main", "migrations"] files = [ - {file = "alembic-1.16.2-py3-none-any.whl", hash = "sha256:5f42e9bd0afdbd1d5e3ad856c01754530367debdebf21ed6894e34af52b3bb03"}, - {file = "alembic-1.16.2.tar.gz", hash = "sha256:e53c38ff88dadb92eb22f8b150708367db731d58ad7e9d417c9168ab516cbed8"}, + {file = "alembic-1.17.1-py3-none-any.whl", hash = "sha256:cbc2386e60f89608bb63f30d2d6cc66c7aaed1fe105bd862828600e5ad167023"}, + {file = "alembic-1.17.1.tar.gz", hash = "sha256:8a289f6778262df31571d29cca4c7fbacd2f0f582ea0816f4c399b6da7528486"}, ] [package.dependencies] @@ -34,14 +34,14 @@ files = [ [[package]] name = "anyio" -version = "4.9.0" -description = "High level compatibility layer for multiple asynchronous event loop implementations" +version = "4.11.0" +description = "High-level concurrency and 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python-multipart = "^0.0.19" minio = "^7.2.12" prometheus-client = "^0.22.1" - -[tool.poetry.group.ripper] -optional = true - -[tool.poetry.group.ripper.dependencies] -docker = "^7.1.0" python-dateutil = "^2.9.0.post0" -prometheus-client = "^0.22.1" +boto3 = "^1.41.0" [tool.poetry.group.dev] optional = true diff --git a/run_local.py b/run_local.py index 454d246..ebd9489 100644 --- a/run_local.py +++ b/run_local.py @@ -16,7 +16,7 @@ CMG_RIPPER_ENTRYPOINT = f"{CMG_RIPPER_DIR}/main.py" CMG_MIGRATIONS_DIR = f"{CMG_SRC_DIR}/migrations" -CMG_DOCKER_SERVICES = ["minio", "pgadmin", "postgres", "rabbitmq"] +CMG_DOCKER_SERVICES = ["object-store", "pgadmin", "db", "queue"] class ServiceManager: @@ -88,9 +88,9 @@ def on_modified(self, event): ["docker", "compose", "-f", "docker-compose.yaml", "up", *CMG_DOCKER_SERVICES, "--wait"] ) - os.environ["CMG_DB_HOST"] = service_manager.get_container_ip("cmg-postgres-1") - os.environ["CMG_OBJECT_STORE_HOST"] = service_manager.get_container_ip("cmg-minio-1") - os.environ["CMG_QUEUE_HOST"] = service_manager.get_container_ip("cmg-rabbitmq-1") + os.environ["CMG_DB_HOST"] = service_manager.get_container_ip("cmg-db-1") + os.environ["CMG_OBJECT_STORE_HOST"] = service_manager.get_container_ip("cmg-object-store-1") + os.environ["CMG_QUEUE_HOST"] = service_manager.get_container_ip("cmg-queue-1") service_manager.start_services() diff --git a/tests/conftest.py b/tests/conftest.py index 6f6ac8b..049fff0 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,6 +1,8 @@ import logging +from collections.abc import Generator import pytest +from sqlmodel import Session, SQLModel, create_engine def pytest_addoption(parser: pytest.Parser) -> None: @@ -48,3 +50,16 @@ def setup_logging() -> None: parent_logger.addHandler(handler) logging.getLogger("cmg.tests").setLevel(logging.INFO) + + +@pytest.fixture(scope="function") +def db_manager() -> Generator[Session, None, None]: + """Create an in-memory SQLite database for testing.""" + test_engine = create_engine("sqlite:///:memory:") + SQLModel.metadata.create_all(test_engine) + + class TestDatabaseManager: + def get_session(self) -> Session: + return Session(test_engine) + + return TestDatabaseManager() diff --git a/tests/integration/assets/cms.env b/tests/integration/assets/cms.env index b475a75..566fed2 100644 --- a/tests/integration/assets/cms.env +++ b/tests/integration/assets/cms.env @@ -2,9 +2,3 @@ MLFLOW_DB_USERNAME=admin MLFLOW_DB_PASSWORD=admin AWS_ACCESS_KEY_ID=admin AWS_SECRET_ACCESS_KEY=admin123 - -GRAFANA_ADMIN_USER=admin -GRAFANA_ADMIN_PASSWORD=admin - -GRAYLOG_PASSWORD_SECRET=admin -GRAYLOG_ROOT_PASSWORD_SHA2=admin diff --git a/tests/integration/assets/config.json b/tests/integration/assets/config.json new file mode 100644 index 0000000..9291d9c --- /dev/null +++ b/tests/integration/assets/config.json @@ -0,0 +1,25 @@ +{ + "cms": { + "host_url": "", + "project_name": "cmg-test", + "network": "cmg-test_cms", + "image": "cogstacksystems/cogstack-modelserve:sha-19eb765", + "tracking": { + "username": "admin", + "password": "admin", + "s3": { + "access_key_id": "admin", + "secret_access_key": "admin123" + } + } + }, + "models": { + "deployment": { + "use_ip_addresses": true, + "manual": { + "max_ttl": 604800, + "require_model_uri_validation": true + } + } + } +} diff --git a/tests/integration/assets/docker-compose-mlflow.override.yml b/tests/integration/assets/docker-compose-mlflow.override.yml new file mode 100644 index 0000000..78508df --- /dev/null +++ b/tests/integration/assets/docker-compose-mlflow.override.yml @@ -0,0 +1,23 @@ +services: + + mlflow-ui: + image: cogstacksystems/cogstack-mlflow-ui:0.1.1 + networks: + - cms-test + + mlflow-db: + networks: + - cms-test + + minio: + networks: + - cms-test + + model-bucket-init: + networks: + - cms-test + +networks: + cms-test: + name: cmg-test_cms + external: true diff --git a/tests/integration/assets/docker-compose.override.yml b/tests/integration/assets/docker-compose.override.yml new file mode 100644 index 0000000..ad9e3d4 --- /dev/null +++ b/tests/integration/assets/docker-compose.override.yml @@ -0,0 +1,36 @@ +services: + + medcat-snomed: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + + medcat-icd10: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + + medcat-opcs4: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + + medcat-deid: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + + medcat-umls: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + + huggingface-ner: + image: cogstacksystems/cogstack-modelserve:sha-19eb765 + networks: + - cms-test + +networks: + cms-test: + name: cmg-test_cms + driver: bridge diff --git a/tests/integration/test_api.py b/tests/integration/test_api.py index 18c200b..7918d5f 100644 --- a/tests/integration/test_api.py +++ b/tests/integration/test_api.py @@ -1,25 +1,35 @@ +import concurrent.futures import json +import os import tempfile +import time from pathlib import Path import pytest from fastapi.testclient import TestClient from cogstack_model_gateway.common.config import Config, load_config +from cogstack_model_gateway.common.models import ModelDeploymentType from cogstack_model_gateway.common.tasks import Status, TaskManager +from cogstack_model_gateway.common.tracking import TrackingClient from cogstack_model_gateway.gateway.main import app from tests.integration.utils import ( - ANNOTATION_FIELDS_JSON, + ANNOTATION_FIELDS_BASE, ANNOTATION_FIELDS_JSONL, + TEST_CONFIG_FILE, TEST_MODEL_SERVICE, + cleanup_deployed_model_containers, configure_environment, + count_deployed_model_containers, download_result_object, + get_deployed_model_container, parse_mlflow_url, setup_cms, setup_scheduler, setup_testcontainers, validate_api_response, verify_annotation_contains_keys, + verify_container_labels, verify_queue_is_empty, verify_results_match_api_info, verify_task_payload_in_object_store, @@ -36,45 +46,89 @@ ANNOTATION_STATS_CSV_PATH = TEST_ASSETS_DIR / "annotation_stats.csv" +@pytest.fixture(scope="function", autouse=True) +def cleanup_test_deployments(): + """Clean up any CMG-managed model containers after each test.""" + yield + cleanup_deployed_model_containers() + + @pytest.fixture(scope="module", autouse=True) def setup(request: pytest.FixtureRequest, cleanup_cms: bool): + os.environ["CONFIG_FILE"] = str(TEST_CONFIG_FILE.absolute()) + postgres, rabbitmq, minio = setup_testcontainers(request) svc_addr_map = setup_cms(request, cleanup_cms) - request.config.cache.set("TEST_MODEL_SERVICE_IP", svc_addr_map[TEST_MODEL_SERVICE]["address"]) mlflow_addr = svc_addr_map["mlflow-ui"]["address"] mlflow_port = svc_addr_map["mlflow-ui"]["port"] - env = { - "MLFLOW_TRACKING_URI": f"http://{mlflow_addr}:{mlflow_port}", - } + mlflow_tracking_uri = f"http://{mlflow_addr}:{mlflow_port}" + + minio_addr = svc_addr_map["minio"]["address"] + minio_port = svc_addr_map["minio"]["port"] + mlflow_s3_endpoint_url = f"http://{minio_addr}:{minio_port}" enable_cmg_logging = request.config.getoption("--enable-cmg-logging") - configure_environment(postgres, rabbitmq, minio, enable_logs=enable_cmg_logging, extras=env) + configure_environment( + postgres, + rabbitmq, + minio, + mlflow_tracking_uri=mlflow_tracking_uri, + mlflow_s3_endpoint_url=mlflow_s3_endpoint_url, + enable_logs=enable_cmg_logging, + ) setup_scheduler(request) @pytest.fixture(scope="module") -def client(): +def client(setup): + # Depends on setup to ensure CONFIG_FILE is set before TestClient creates the app with TestClient(app) as client: yield client @pytest.fixture(scope="module") def config(client: TestClient) -> Config: - return load_config() + config = load_config(str(TEST_CONFIG_FILE.absolute())) + config.database_manager.init_db() # init DB schema to avoid setting up the migrations service + return config @pytest.fixture(scope="module") -def test_model_service_ip(request: pytest.FixtureRequest) -> str: - return request.config.cache.get("TEST_MODEL_SERVICE_IP", None) +def trained_model(client: TestClient, config: Config) -> tuple[str, str]: + """Train a model once and return its tracking_id and model_uri for use in tests. + + Returns: + tuple of (tracking_id (MLflow run ID), model_uri) + """ + payload = str.encode('["Patient diagnosed with kidney failure"]') + with tempfile.NamedTemporaryFile("r+b") as f: + f.write(payload) + f.seek(0) + response = client.post( + f"/models/{TEST_MODEL_SERVICE}/tasks/train_unsupervised", + files=[("training_data", f)], + ) + response_json = validate_api_response(response, expected_status_code=200, return_json=True) + + tm: TaskManager = config.task_manager + task = wait_for_task_completion(response_json["uuid"], tm, expected_status=Status.SUCCEEDED) + + _, parsed = download_result_object(task.result, config.results_object_store_manager, "text") + _, _, run_id = parse_mlflow_url(parsed) + + tc: TrackingClient = config.tracking_client + model_uri = tc.get_model_uri(run_id) + + return run_id, model_uri def test_config_loaded(config: Config): assert config assert all( - key in config + hasattr(config, key) for key in [ "database_manager", "task_object_store_manager", @@ -109,7 +163,7 @@ def test_health_check(client: TestClient): assert health_data["components"][component] == "healthy" -def test_get_tasks(client: TestClient): +def test_get_tasks(client: TestClient, config: Config): response = client.get("/tasks/") assert response.status_code == 403 assert response.json() == {"detail": "Only admins can list tasks"} @@ -144,19 +198,67 @@ def test_get_task_by_uuid(client: TestClient, config: Config): assert res["tracking_id"] is None -def test_get_models(client: TestClient): +def test_get_models(client: TestClient, config: Config): response = client.get("/models/") assert response.status_code == 200 response_json = response.json() - assert isinstance(response_json, list) - assert len(response_json) == 1 - assert all(key in response_json[0] for key in ["name", "uri"]) - assert response_json[0]["name"] == TEST_MODEL_SERVICE + assert isinstance(response_json, dict) + assert "running" in response_json + assert "on_demand" in response_json + assert isinstance(response_json["running"], list) + assert isinstance(response_json["on_demand"], list) + assert len(response_json["running"]) == 1 + assert all(key in response_json["running"][0] for key in ["name", "is_running"]) + assert response_json["running"][0]["name"] == TEST_MODEL_SERVICE + assert response_json["running"][0]["is_running"] is True + + response = client.get("/models/", params={"verbose": True}) + assert response.status_code == 200 + + response_json = response.json() + assert isinstance(response_json, dict) + assert "running" in response_json + assert "on_demand" in response_json + assert len(response_json["running"]) == 1 + + model = response_json["running"][0] + assert all( + key in model for key in ["name", "is_running", "deployment_type", "model_type", "runtime"] + ) + assert model["name"] == TEST_MODEL_SERVICE + assert model["is_running"] is True + assert model["deployment_type"] == ModelDeploymentType.STATIC.value + assert model["model_type"] is not None + assert "api_version" in model["runtime"] -def test_get_model_info(client: TestClient, test_model_service_ip: str): - response = client.get(f"/models/{test_model_service_ip}/info") +def test_get_model(client: TestClient, config: Config): + response = client.get(f"/models/{TEST_MODEL_SERVICE}") + assert response.status_code == 200 + + response_json = response.json() + assert all(key in response_json for key in ["name", "is_running"]) + assert response_json["name"] == TEST_MODEL_SERVICE + assert response_json["is_running"] is True + + response = client.get(f"/models/{TEST_MODEL_SERVICE}", params={"verbose": True}) + assert response.status_code == 200 + + response_json = response.json() + assert all( + key in response_json + for key in ["name", "is_running", "deployment_type", "model_type", "runtime"] + ) + assert response_json["name"] == TEST_MODEL_SERVICE + assert response_json["is_running"] is True + assert response_json["deployment_type"] == ModelDeploymentType.STATIC.value + assert response_json["model_type"] is not None + assert "api_version" in response_json["runtime"] + + +def test_get_model_info(client: TestClient, config: Config): + response = client.get(f"/models/{TEST_MODEL_SERVICE}/info") assert response.status_code == 200 assert all( key in response.json() @@ -164,18 +266,18 @@ def test_get_model_info(client: TestClient, test_model_service_ip: str): ) -def test_unsupported_task(client: TestClient, test_model_service_ip: str): +def test_unsupported_task(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/unsupported-task", + f"/models/{TEST_MODEL_SERVICE}/tasks/unsupported-task", headers={"Content-Type": "dummy"}, ) assert response.status_code == 404 assert "Task 'unsupported-task' not found. Supported tasks are:" in response.json()["detail"] -def test_process(client: TestClient, config: Config, test_model_service_ip: str): +def test_process(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/process", + f"/models/{TEST_MODEL_SERVICE}/tasks/process", data="Patient diagnosed with kidney failure", headers={"Content-Type": "text/plain"}, ) @@ -200,15 +302,15 @@ def test_process(client: TestClient, config: Config, test_model_service_ip: str) assert len(parsed["annotations"]) == 1 annotation = parsed["annotations"][0] - verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_JSON) + verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_BASE) assert annotation["label_name"] == "Loss Of Kidney Function" verify_results_match_api_info(client, task, res) -def test_process_jsonl(client: TestClient, config: Config, test_model_service_ip: str): +def test_process_jsonl(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/process_jsonl", + f"/models/{TEST_MODEL_SERVICE}/tasks/process_jsonl", data=( '{"name": "doc1", "text": "Patient diagnosed with kidney failure"}\n' '{"name": "doc2", "text": "Patient diagnosed with kidney failure again, what a week"}' @@ -241,9 +343,9 @@ def test_process_jsonl(client: TestClient, config: Config, test_model_service_ip verify_results_match_api_info(client, task, res) -def test_process_bulk(client: TestClient, config: Config, test_model_service_ip: str): +def test_process_bulk(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/process_bulk", + f"/models/{TEST_MODEL_SERVICE}/tasks/process_bulk", json=[ "Patient diagnosed with kidney failure", "Patient diagnosed with kidney failure again, what a week", @@ -276,16 +378,16 @@ def test_process_bulk(client: TestClient, config: Config, test_model_service_ip: assert len(doc["annotations"]) == 1 annotation = doc["annotations"][0] - verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_JSON) + verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_BASE) assert annotation["label_name"] == "Loss Of Kidney Function" verify_results_match_api_info(client, task, res) -def test_process_bulk_file(client: TestClient, config: Config, test_model_service_ip: str): +def test_process_bulk_file(client: TestClient, config: Config): with open(MULTI_TEXT_FILE_PATH, "rb") as f: response = client.post( - f"/models/{test_model_service_ip}/tasks/process_bulk_file", + f"/models/{TEST_MODEL_SERVICE}/tasks/process_bulk_file", files=[("multi_text_file", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -312,15 +414,15 @@ def test_process_bulk_file(client: TestClient, config: Config, test_model_servic assert len(doc["annotations"]) == 1 annotation = doc["annotations"][0] - verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_JSON) + verify_annotation_contains_keys(annotation, ANNOTATION_FIELDS_BASE) assert annotation["label_name"] == "Loss Of Kidney Function" verify_results_match_api_info(client, task, res) -def test_redact(client: TestClient, config: Config, test_model_service_ip: str): +def test_redact(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/redact", + f"/models/{TEST_MODEL_SERVICE}/tasks/redact", data="Patient diagnosed with kidney failure", headers={"Content-Type": "text/plain"}, ) @@ -344,14 +446,14 @@ def test_redact(client: TestClient, config: Config, test_model_service_ip: str): verify_results_match_api_info(client, task, res) -def test_redact_with_encryption(client: TestClient, config: Config, test_model_service_ip: str): +def test_redact_with_encryption(client: TestClient, config: Config): with open(PUBLIC_KEY_PEM_PATH) as f: payload = { "text": "Patient diagnosed with kidney failure", "public_key_pem": f.read(), } response = client.post( - f"/models/{test_model_service_ip}/tasks/redact_with_encryption", + f"/models/{TEST_MODEL_SERVICE}/tasks/redact_with_encryption", json=payload, ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -384,9 +486,9 @@ def test_redact_with_encryption(client: TestClient, config: Config, test_model_s verify_results_match_api_info(client, task, res) -def test_preview(client: TestClient, config: Config, test_model_service_ip: str): +def test_preview(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/preview", + f"/models/{TEST_MODEL_SERVICE}/tasks/preview", data="Patient diagnosed with kidney failure", headers={"Content-Type": "text/plain"}, ) @@ -413,11 +515,11 @@ def test_preview(client: TestClient, config: Config, test_model_service_ip: str) verify_results_match_api_info(client, task, res) -def test_preview_trainer_export(client: TestClient, config: Config, test_model_service_ip: str): +def test_preview_trainer_export(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f1: with open(ANOTHER_TRAINER_EXPORT_PATH, "rb") as f2: response = client.post( - f"/models/{test_model_service_ip}/tasks/preview_trainer_export", + f"/models/{TEST_MODEL_SERVICE}/tasks/preview_trainer_export", files=[("trainer_export", f1), ("trainer_export", f2)], ) @@ -448,10 +550,10 @@ def test_preview_trainer_export(client: TestClient, config: Config, test_model_s @pytest.mark.flaky(reruns=6) # MedCAT training fails ~40% of the time due to small dataset -def test_train_supervised(client: TestClient, config: Config, test_model_service_ip: str): +def test_train_supervised(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f: response = client.post( - f"/models/{test_model_service_ip}/tasks/train_supervised", + f"/models/{TEST_MODEL_SERVICE}/tasks/train_supervised", files=[("trainer_export", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -476,14 +578,14 @@ def test_train_supervised(client: TestClient, config: Config, test_model_service verify_results_match_api_info(client, task, res) -def test_train_unsupervised(client: TestClient, config: Config, test_model_service_ip: str): +def test_train_unsupervised(client: TestClient, config: Config): payload = str.encode('["Patient diagnosed with kidney failure"]') with tempfile.NamedTemporaryFile("r+b") as f: payload_file = Path(f.name).name f.write(payload) f.seek(0) response = client.post( - f"/models/{test_model_service_ip}/tasks/train_unsupervised", + f"/models/{TEST_MODEL_SERVICE}/tasks/train_unsupervised", files=[("training_data", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -505,11 +607,9 @@ def test_train_unsupervised(client: TestClient, config: Config, test_model_servi verify_results_match_api_info(client, task, res) -def test_train_unsupervised_with_hf_hub_dataset( - client: TestClient, config: Config, test_model_service_ip: str -): +def test_train_unsupervised_with_hf_hub_dataset(client: TestClient, config: Config): response = client.post( - f"/models/{test_model_service_ip}/tasks/train_unsupervised_with_hf_hub_dataset", + f"/models/{TEST_MODEL_SERVICE}/tasks/train_unsupervised_with_hf_hub_dataset", params={"hf_dataset_repo_id": "imdb"}, headers={"Content-Type": "text/plain"}, ) @@ -531,10 +631,10 @@ def test_train_unsupervised_with_hf_hub_dataset( @pytest.mark.skip(reason="MetaCAT training is currently disabled on the CMS side") -def test_train_metacat(client: TestClient, config: Config, test_model_service_ip: str): +def test_train_metacat(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f: response = client.post( - f"/models/{test_model_service_ip}/tasks/train_metacat", + f"/models/{TEST_MODEL_SERVICE}/tasks/train_metacat", files=[("trainer_export", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -559,10 +659,10 @@ def test_train_metacat(client: TestClient, config: Config, test_model_service_ip verify_results_match_api_info(client, task, res) -def test_evaluate(client: TestClient, config: Config, test_model_service_ip: str): +def test_evaluate(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f: response = client.post( - f"/models/{test_model_service_ip}/tasks/evaluate", + f"/models/{TEST_MODEL_SERVICE}/tasks/evaluate", files=[("trainer_export", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -587,10 +687,10 @@ def test_evaluate(client: TestClient, config: Config, test_model_service_ip: str verify_results_match_api_info(client, task, res) -def test_sanity_check(client: TestClient, config: Config, test_model_service_ip: str): +def test_sanity_check(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f: response = client.post( - f"/models/{test_model_service_ip}/tasks/sanity-check", + f"/models/{TEST_MODEL_SERVICE}/tasks/sanity-check", files=[("trainer_export", f)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -614,11 +714,11 @@ def test_sanity_check(client: TestClient, config: Config, test_model_service_ip: verify_results_match_api_info(client, task, res) -def test_iaa_scores(client: TestClient, config: Config, test_model_service_ip: str): +def test_iaa_scores(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f1: with open(ANOTHER_TRAINER_EXPORT_PATH, "rb") as f2: response = client.post( - f"/models/{test_model_service_ip}/tasks/iaa-scores", + f"/models/{TEST_MODEL_SERVICE}/tasks/iaa-scores", params={ "annotator_a_project_id": 14, "annotator_b_project_id": 15, @@ -652,11 +752,11 @@ def test_iaa_scores(client: TestClient, config: Config, test_model_service_ip: s verify_results_match_api_info(client, task, res) -def test_concat_trainer_exports(client: TestClient, config: Config, test_model_service_ip: str): +def test_concat_trainer_exports(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f1: with open(ANOTHER_TRAINER_EXPORT_PATH, "rb") as f2: response = client.post( - f"/models/{test_model_service_ip}/tasks/concat_trainer_exports", + f"/models/{TEST_MODEL_SERVICE}/tasks/concat_trainer_exports", files=[("trainer_export", f1), ("trainer_export", f2)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -686,11 +786,11 @@ def test_concat_trainer_exports(client: TestClient, config: Config, test_model_s verify_results_match_api_info(client, task, res) -def test_annotation_stats(client: TestClient, config: Config, test_model_service_ip: str): +def test_annotation_stats(client: TestClient, config: Config): with open(TRAINER_EXPORT_PATH, "rb") as f1: with open(ANOTHER_TRAINER_EXPORT_PATH, "rb") as f2: response = client.post( - f"/models/{test_model_service_ip}/tasks/annotation-stats", + f"/models/{TEST_MODEL_SERVICE}/tasks/annotation-stats", files=[("trainer_export", f1), ("trainer_export", f2)], ) response_json = validate_api_response(response, expected_status_code=200, return_json=True) @@ -718,3 +818,924 @@ def test_annotation_stats(client: TestClient, config: Config, test_model_service assert parsed == f.read() verify_results_match_api_info(client, task, res) + + +def test_deploy_model(client: TestClient, config: Config, trained_model: tuple[str, str]): + """Test manual model deployment with tracking_id and model_uri.""" + run_id, model_uri = trained_model + + # Deploy with tracking_id + model_name_1 = "test-model-tracking-id" + response = client.post(f"/models/{model_name_1}", json={"tracking_id": run_id}) + assert response.status_code == 200 + deploy_info = response.json() + assert deploy_info["model_uri"] == model_uri + assert deploy_info["container_name"] == model_name_1 + assert all(k in deploy_info for k in ["ttl", "container_id"]) + + response = client.get(f"/models/{model_name_1}") + assert response.status_code == 200 + assert response.json()["is_running"] is True + + # Try to deploy same model again (should fail with conflict) + response = client.post(f"/models/{model_name_1}", json={"tracking_id": run_id}) + assert response.status_code == 409 + assert "already running" in response.json()["detail"].lower() + + # Clean up first deployment + response = client.delete(f"/models/{model_name_1}") + assert response.status_code == 204 + + # Deploy with model_uri directly + model_name_2 = "test-model-uri" + response = client.post(f"/models/{model_name_2}", json={"model_uri": model_uri}) + assert response.status_code == 200 + deploy_info = response.json() + assert deploy_info["model_uri"] == model_uri + assert deploy_info["container_name"] == model_name_2 + assert all(k in deploy_info for k in ["ttl", "container_id"]) + + # Clean up second deployment + response = client.delete(f"/models/{model_name_2}") + assert response.status_code == 204 + + # Deploy with both tracking_id and model_uri (model_uri takes precedence) + model_name_3 = "test-model-both" + response = client.post( + f"/models/{model_name_3}", json={"tracking_id": run_id, "model_uri": model_uri} + ) + assert response.status_code == 200 + deploy_info = response.json() + assert deploy_info["model_uri"] == model_uri + assert deploy_info["container_name"] == model_name_3 + + # Clean up third deployment + response = client.delete(f"/models/{model_name_3}") + assert response.status_code == 204 + + # Deploy with invalid model URI (should fail due to require_model_uri_validation=true in config) + model_name_4 = "test-model-invalid" + response = client.post(f"/models/{model_name_4}", json={"model_uri": "invalid://uri"}) + assert response.status_code == 404 + + +def test_remove_model(client: TestClient, config: Config, trained_model: tuple[str, str]): + """Test model removal endpoint.""" + run_id, _ = trained_model + + # Deploy a model + model_name = "test-model-for-removal" + response = client.post(f"/models/{model_name}", json={"tracking_id": run_id, "ttl": 3600}) + assert response.status_code == 200 + + response = client.get(f"/models/{model_name}") + assert response.status_code == 200 + assert response.json()["is_running"] is True + + # Remove the deployed model + response = client.delete(f"/models/{model_name}") + assert response.status_code == 204 + + response = client.get(f"/models/{model_name}") + assert response.status_code == 404 + + # Try to remove non-existent model (should fail) + response = client.delete(f"/models/{model_name}") + assert response.status_code == 404 + + # Try to remove non-existent model with force flag (should succeed) + response = client.delete("/models/nonexistent-model", params={"force": True}) + assert response.status_code == 204 + + # Deploy another model and remove it by force + model_name_2 = "test-model-for-force-removal" + response = client.post(f"/models/{model_name_2}", json={"tracking_id": run_id}) + assert response.status_code == 200 + + response = client.delete(f"/models/{model_name_2}", params={"force": True}) + assert response.status_code == 204 + + +def test_admin_list_on_demand_configs(client: TestClient, config: Config): + """Test listing on-demand model configurations (GET /admin/on-demand).""" + response = client.get("/admin/on-demand") + assert response.status_code == 200 + data = response.json() + assert "configs" in data + assert "total" in data + assert isinstance(data["configs"], list) + assert data["total"] == 0 + + response = client.post( + "/admin/on-demand", json={"model_name": "test-list-model", "model_uri": "mlflow://test/uri"} + ) + assert response.status_code == 201 + + response = client.get("/admin/on-demand") + assert response.status_code == 200 + data = response.json() + assert data["total"] == 1 + assert len(data["configs"]) == 1 + assert data["configs"][0]["model_name"] == "test-list-model" + assert data["configs"][0]["model_uri"] == "mlflow://test/uri" + assert data["configs"][0]["enabled"] is True + + response = client.delete("/admin/on-demand/test-list-model") + assert response.status_code == 204 + + # List without include_disabled should be empty + response = client.get("/admin/on-demand") + assert response.status_code == 200 + data = response.json() + assert data["total"] == 0 + + # List with include_disabled should show the disabled config + response = client.get("/admin/on-demand", params={"include_disabled": True}) + assert response.status_code == 200 + data = response.json() + assert data["total"] == 1 + assert len(data["configs"]) == 1 + assert data["configs"][0]["model_name"] == "test-list-model" + assert data["configs"][0]["enabled"] is False + + +def test_admin_create_on_demand_config( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test creating on-demand model configurations (POST /admin/on-demand).""" + run_id, model_uri = trained_model + + # Create with model_uri only + model_name_1 = "test-create-with-uri" + response = client.post( + "/admin/on-demand", + json={ + "model_name": model_name_1, + "model_uri": model_uri, + "description": "Test model created with URI", + }, + ) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_1 + assert created["model_uri"] == model_uri + assert created["description"] == "Test model created with URI" + assert created["idle_ttl"] == config.get_default_idle_ttl() + assert created["enabled"] is True + assert all(k in created for k in ["id", "created_at", "updated_at"]) + + # Try to create another config with same model_name (should fail with 409) + response = client.post( + "/admin/on-demand", + json={"model_name": model_name_1, "model_uri": model_uri, "replace_enabled": False}, + ) + assert response.status_code == 409 + assert "already exists" in response.json()["detail"].lower() + + # Create with replace_enabled=true (should succeed and disable previous) + response = client.post( + "/admin/on-demand", + json={"model_name": model_name_1, "model_uri": model_uri, "description": "Updated model"}, + ) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_1 + assert created["description"] == "Updated model" + assert created["enabled"] is True + + response = client.get(f"/admin/on-demand/{model_name_1}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 2 + assert sum(1 for c in history["configs"] if c["enabled"]) == 1 + + # Inherit model_uri from previous config (new version with updated idle_ttl) + response = client.post("/admin/on-demand", json={"model_name": model_name_1, "idle_ttl": 1800}) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_1 + assert created["model_uri"] == model_uri + assert created["idle_ttl"] == 1800 + + client.delete(f"/admin/on-demand/{model_name_1}") + + # Attempt to inherit with missing model_uri from non-existent config (should fail with 400) + response = client.post("/admin/on-demand", json={"model_name": model_name_1, "idle_ttl": 7200}) + assert response.status_code == 400 + assert "model_uri is required" in response.json()["detail"].lower() + + # Create with tracking_id (should resolve to model_uri) + model_name_2 = "test-create-with-tracking-id" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name_2, "tracking_id": run_id, "idle_ttl": 7200}, + ) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_2 + assert created["model_uri"] == model_uri + assert created["tracking_id"] == run_id + assert created["idle_ttl"] == 7200 + + client.delete(f"/admin/on-demand/{model_name_2}") + + # Create with full spec including deploy config + model_name_3 = "test-create-full-spec" + response = client.post( + "/admin/on-demand", + json={ + "model_name": model_name_3, + "model_uri": model_uri, + "tracking_id": run_id, + "idle_ttl": 3600, + "description": "Full spec test", + "deploy": { + "resources": { + "limits": {"cpus": "2", "memory": "4g"}, + "reservations": {"cpus": "1", "memory": "2g"}, + } + }, + }, + ) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_3 + assert created["idle_ttl"] == 3600 + assert created["description"] == "Full spec test" + assert created["deploy"] is not None + assert created["deploy"]["resources"]["limits"] == {"cpus": "2", "memory": "4g"} + assert created["deploy"]["resources"]["reservations"] == {"cpus": "1", "memory": "2g"} + + client.delete(f"/admin/on-demand/{model_name_3}") + + # Create with inherit_config (first config for this model, so no inheritance) + model_name_4 = "test-inherit-no-parent" + response = client.post( + "/admin/on-demand", + json={ + "model_name": model_name_4, + "model_uri": model_uri, + "inherit_config": True, + }, + ) + assert response.status_code == 201 + created = response.json() + assert created["model_name"] == model_name_4 + + client.delete(f"/admin/on-demand/{model_name_4}") + + +def test_admin_get_on_demand_config( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test getting a specific on-demand config (GET /admin/on-demand/{model_name}).""" + _, model_uri = trained_model + + # Try to get non-existent config + response = client.get("/admin/on-demand/nonexistent-model") + assert response.status_code == 404 + + model_name = "test-get-config" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Test get config"}, + ) + assert response.status_code == 201 + created = response.json() + + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 200 + fetched = response.json() + assert fetched["id"] == created["id"] + assert fetched["model_name"] == model_name + assert fetched["model_uri"] == model_uri + assert fetched["description"] == "Test get config" + assert fetched["enabled"] is True + + response = client.delete(f"/admin/on-demand/{model_name}") + assert response.status_code == 204 + + # Try to get disabled config (should return 404) + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 404 + + +def test_admin_update_on_demand_config( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test updating an on-demand config (PUT /admin/on-demand/{model_name}).""" + run_id, model_uri = trained_model + + # Try to update non-existent config + response = client.put("/admin/on-demand/nonexistent-model", json={"description": "Not there"}) + assert response.status_code == 404 + + model_name = "test-update-config" + response = client.post( + "/admin/on-demand", + json={ + "model_name": model_name, + "model_uri": model_uri, + "description": "Original description", + "idle_ttl": 3600, + }, + ) + assert response.status_code == 201 + + # Update description only + response = client.put( + f"/admin/on-demand/{model_name}", json={"description": "Updated description"} + ) + assert response.status_code == 200 + updated = response.json() + assert updated["description"] == "Updated description" + assert updated["model_uri"] == model_uri + assert updated["idle_ttl"] == 3600 + + # Update idle_ttl + response = client.put(f"/admin/on-demand/{model_name}", json={"idle_ttl": 7200}) + assert response.status_code == 200 + updated = response.json() + assert updated["idle_ttl"] == 7200 + assert updated["description"] == "Updated description" + + # Update model_uri directly + new_uri = "mlflow://test/new/uri" + response = client.put(f"/admin/on-demand/{model_name}", json={"model_uri": new_uri}) + assert response.status_code == 200 + updated = response.json() + assert updated["model_uri"] == new_uri + + # Update tracking_id (should also update model_uri) + response = client.put(f"/admin/on-demand/{model_name}", json={"tracking_id": run_id}) + assert response.status_code == 200 + updated = response.json() + assert updated["tracking_id"] == run_id + assert updated["model_uri"] == model_uri + + # Update deploy spec + response = client.put( + f"/admin/on-demand/{model_name}", + json={ + "deploy": { + "resources": { + "limits": {"cpus": "1", "memory": "2g"}, + "reservations": {"cpus": "0.5", "memory": "1g"}, + }, + } + }, + ) + assert response.status_code == 200 + updated = response.json() + assert updated["deploy"] is not None + assert updated["deploy"]["resources"]["limits"] == {"cpus": "1", "memory": "2g"} + assert updated["deploy"]["resources"]["reservations"] == {"cpus": "0.5", "memory": "1g"} + + # Clear optional fields using clear_* flags + response = client.put( + f"/admin/on-demand/{model_name}", + json={ + "clear_description": True, + "clear_idle_ttl": True, + "clear_tracking_id": True, + "clear_deploy": True, + }, + ) + assert response.status_code == 200 + updated = response.json() + # None fields are excluded from response JSON + assert all(k not in updated for k in ["description", "tracking_id", "deploy"]) + assert updated["idle_ttl"] == config.get_default_idle_ttl() + assert updated["model_uri"] == model_uri + + client.delete(f"/admin/on-demand/{model_name}") + + # Verify that only one config version exists in history + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 1 + + +def test_admin_delete_on_demand_config( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test soft-deleting an on-demand config (DELETE /admin/on-demand/{model_name}).""" + _, model_uri = trained_model + + # Try to delete non-existent config + response = client.delete("/admin/on-demand/nonexistent-model") + assert response.status_code == 404 + + model_name = "test-delete-config" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri}, + ) + assert response.status_code == 201 + config_id = response.json()["id"] + + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 200 + assert response.json()["enabled"] is True + + # Delete (soft-delete) a config + response = client.delete(f"/admin/on-demand/{model_name}") + assert response.status_code == 204 + + # Verify it's no longer returned by default + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 404 + + # But it should appear in history + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 1 + assert history["configs"][0]["enabled"] is False + + # Try to delete again (should fail) + response = client.delete(f"/admin/on-demand/{model_name}") + assert response.status_code == 404 + + # Re-enable and delete again + response = client.post(f"/admin/on-demand/{config_id}/enable") + assert response.status_code == 200 + + response = client.delete(f"/admin/on-demand/{model_name}") + assert response.status_code == 204 + + +def test_admin_get_on_demand_config_history( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test getting config history (GET /admin/on-demand/{model_name}/history).""" + _, model_uri = trained_model + + # Try to get history for non-existent model + response = client.get("/admin/on-demand/nonexistent-model/history") + assert response.status_code == 404 + + model_name = "test-history-config" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Version 1"}, + ) + assert response.status_code == 201 + + # Get history (should have one entry) + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 1 + assert len(history["configs"]) == 1 + assert history["configs"][0]["description"] == "Version 1" + assert history["configs"][0]["enabled"] is True + + # Create version 2 with replace + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Version 2"}, + ) + assert response.status_code == 201 + + # Get history (should have two entries) + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 2 + assert len(history["configs"]) == 2 + + # Verify only one is enabled (newest) + enabled_configs = [c for c in history["configs"] if c["enabled"]] + assert len(enabled_configs) == 1 + assert enabled_configs[0]["description"] == "Version 2" + + # Create version 3 + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Version 3"}, + ) + assert response.status_code == 201 + + # Get history (should have three entries) + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + assert history["total"] == 3 + assert len(history["configs"]) == 3 + + # Verify ordering (newest first) + descriptions = [c["description"] for c in history["configs"]] + assert descriptions[0] == "Version 3" + + client.delete(f"/admin/on-demand/{model_name}") + + +def test_admin_enable_on_demand_config( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test enabling a previously disabled config (POST /admin/on-demand/{config_id}/enable).""" + _, model_uri = trained_model + + # Try to enable non-existent config + response = client.post("/admin/on-demand/999999/enable") + assert response.status_code == 404 + + model_name = "test-enable-config" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Version 1"}, + ) + assert response.status_code == 201 + config_id_1 = response.json()["id"] + + # Create version 2 (disables version 1) + response = client.post( + "/admin/on-demand", + json={"model_name": model_name, "model_uri": model_uri, "description": "Version 2"}, + ) + assert response.status_code == 201 + config_id_2 = response.json()["id"] + + # Verify version 2 is enabled + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 200 + assert response.json()["description"] == "Version 2" + assert response.json()["id"] == config_id_2 + + # Re-enable version 1 (should disable version 2) + response = client.post(f"/admin/on-demand/{config_id_1}/enable") + assert response.status_code == 200 + enabled = response.json() + assert enabled["id"] == config_id_1 + assert enabled["description"] == "Version 1" + assert enabled["enabled"] is True + + # Verify version 1 is now the enabled config + response = client.get(f"/admin/on-demand/{model_name}") + assert response.status_code == 200 + assert response.json()["id"] == config_id_1 + assert response.json()["description"] == "Version 1" + + # Verify history shows version 2 as disabled + response = client.get(f"/admin/on-demand/{model_name}/history") + assert response.status_code == 200 + history = response.json() + v2_configs = [c for c in history["configs"] if c["id"] == config_id_2] + assert len(v2_configs) == 1 + assert v2_configs[0]["enabled"] is False + + client.delete(f"/admin/on-demand/{model_name}") + + +def test_auto_deploy_basic_workflows( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test basic auto-deployment workflows. + + Scenarios: + 1. Create on-demand config → Submit task → Verify model auto-deploys → Verify task succeeds + 2. Submit task to already-running on-demand model to verify no new deployment is triggered + 3. Verify config with tracking_id (not model_uri) resolves and deploys correctly + """ + run_id, model_uri = trained_model + + model_name_1 = "test-auto-deploy-basic" + response = client.post( + "/admin/on-demand", + json={ + "model_name": model_name_1, + "model_uri": model_uri, + "idle_ttl": 9999, + "description": "Test auto-deploy", + }, + ) + assert response.status_code == 201 + created_config = response.json() + assert created_config["model_name"] == model_name_1 + + # Verify model appears in on_demand list but not running + response = client.get("/models/") + assert response.status_code == 200 + models_data = response.json() + on_demand_names = [m["name"] for m in models_data["on_demand"]] + running_names = [m["name"] for m in models_data["running"]] + assert model_name_1 in on_demand_names + assert model_name_1 not in running_names + + # Submit task to trigger auto-deployment + response = client.post( + f"/models/{model_name_1}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + assert response.status_code == 200 + task_data = response.json() + task_uuid = task_data["uuid"] + + # Model should auto-deploy and process task + tm: TaskManager = config.task_manager + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + assert task.error_message is None + + response = client.get("/models/") + assert response.status_code == 200 + models_data = response.json() + running_names = [m["name"] for m in models_data["running"]] + assert model_name_1 in running_names + + container = get_deployed_model_container(model_name_1) + assert container is not None + verify_container_labels( + container, + { + "org.cogstack.model-gateway.deployment-type": "auto", + "org.cogstack.model-gateway.managed-by": "cmg", + "org.cogstack.model-gateway.ttl": "9999", + "org.cogstack.model-serve": model_name_1, + }, + ) + + response = client.get(f"/models/{model_name_1}", params={"verbose": True}) + assert response.status_code == 200 + model_info = response.json() + assert model_info["deployment_type"] == ModelDeploymentType.AUTO.value + assert model_info["is_running"] is True + + # Submit task to already-running on-demand model (no re-deployment) + initial_count = count_deployed_model_containers() + response = client.post( + f"/models/{model_name_1}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + assert response.status_code == 200 + task_uuid = response.json()["uuid"] + + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + assert task.error_message is None + + final_count = count_deployed_model_containers() + assert final_count == initial_count + + response = client.delete(f"/models/{model_name_1}") + assert response.status_code == 204 + client.delete(f"/admin/on-demand/{model_name_1}") + + # Deploy based on config with tracking_id and verify correct resolution + model_name_2 = "test-auto-deploy-tracking-id" + response = client.post( + "/admin/on-demand", + json={"model_name": model_name_2, "tracking_id": run_id, "idle_ttl": 1800}, + ) + assert response.status_code == 201 + created = response.json() + assert created["tracking_id"] == run_id + assert created["model_uri"] == model_uri + + # Submit task to trigger auto-deployment + response = client.post( + f"/models/{model_name_2}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + assert response.status_code == 200 + task_uuid = response.json()["uuid"] + + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + assert task.error_message is None + + container = get_deployed_model_container(model_name_2) + assert container is not None + + client.delete(f"/models/{model_name_2}") + client.delete(f"/admin/on-demand/{model_name_2}") + + +def test_auto_deploy_advanced_scenarios( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test advanced auto-deployment scenarios. + + Scenarios: + 1. Verify system waits for model to become healthy before processing + 2. Verify that multiple concurrent requests don't cause duplicate deployments + """ + _, model_uri = trained_model + tm: TaskManager = config.task_manager + + # Verify system waits for model to become healthy before processing + model_name_1 = "test-auto-deploy-health-check" + client.post("/admin/on-demand", json={"model_name": model_name_1, "model_uri": model_uri}) + + start_time = time.time() + response = client.post( + f"/models/{model_name_1}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + task_uuid = response.json()["uuid"] + + # Completion should take at least a few seconds for container startup + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + elapsed = time.time() - start_time + assert elapsed > 5, f"Task completed too quickly ({elapsed}s), expected container startup time" + + model = config.model_manager.get_model(model_name_1) + assert model is not None + assert model.ready is True + + client.delete(f"/models/{model_name_1}") + client.delete(f"/admin/on-demand/{model_name_1}") + + # Verify that multiple concurrent requests don't cause duplicate deployments + model_name_2 = "test-auto-deploy-concurrent" + client.post("/admin/on-demand", json={"model_name": model_name_2, "model_uri": model_uri}) + + initial_container_count = count_deployed_model_containers() + + def submit_task(): + response = client.post( + f"/models/{model_name_2}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + return response.json()["uuid"] + + with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor: + futures = [executor.submit(submit_task) for _ in range(3)] + task_uuids = [f.result() for f in concurrent.futures.as_completed(futures)] + assert len(task_uuids) == 3 + + for task_uuid in task_uuids: + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + assert task.error_message is None + + final_container_count = count_deployed_model_containers() + assert final_container_count == initial_container_count + 1 + + model = config.model_manager.get_model(model_name_2) + assert model is not None + + client.delete(f"/models/{model_name_2}") + client.delete(f"/admin/on-demand/{model_name_2}") + + +def test_auto_deploy_error_handling( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test auto-deployment error handling. + + Scenarios: + 1. Verify request to unconfigured model fails gracefully + 2. Verify config with invalid model_uri fails deployment gracefully + """ + _, model_uri = trained_model + tm: TaskManager = config.task_manager + + # Verify request to non-existent model fails gracefully + nonexistent_model = "nonexistent-auto-deploy-model" + initial_count = count_deployed_model_containers() + response = client.post( + f"/models/{nonexistent_model}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + + assert response.status_code == 503 + assert all( + k in response.json()["detail"].lower() + for k in ["not available", "running models", "on-demand models"] + ) + + assert count_deployed_model_containers() == initial_count + assert config.model_manager.get_model(nonexistent_model) is None + + # Verify deployment with invalid model_uri fails gracefully (uri validation off by default) + model_name_2 = "test-auto-deploy-invalid-uri" + client.post( + "/admin/on-demand", + json={ + "model_name": model_name_2, + "model_uri": "mlflow://invalid/experiment/run/artifacts/model", + }, + ) + + initial_count = count_deployed_model_containers() + response = client.post( + f"/models/{model_name_2}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + if response.status_code == 200: + task_uuid = response.json()["uuid"] + task = wait_for_task_completion(task_uuid, tm, expected_status=Status.FAILED) + assert task.error_message is not None + else: + assert response.status_code == 503 + + container = get_deployed_model_container(model_name_2) + assert container is None or container.status != "running" + + if model := config.model_manager.get_model(model_name_2): + assert model.ready is False or model is None + + client.delete(f"/models/{model_name_2}", params={"force": True}) + client.delete(f"/admin/on-demand/{model_name_2}") + + +def test_auto_deploy_models_listing( + client: TestClient, config: Config, trained_model: tuple[str, str] +): + """Test models listing with auto-deployment integration. + + Scenarios: + 1. GET /models correctly shows running and on-demand models at each state + 2. GET /models/{name} for on-demand model shows correct info when not running vs running + """ + _, model_uri = trained_model + tm: TaskManager = config.task_manager + + response = client.get("/models/") + assert response.status_code == 200 + initial_models = response.json() + initial_running_count = len(initial_models["running"]) + initial_on_demand_count = len(initial_models["on_demand"]) + + model_a = "test-listing-model-a" + model_b = "test-listing-model-b" + + client.post("/admin/on-demand", json={"model_name": model_a, "model_uri": model_uri}) + client.post("/admin/on-demand", json={"model_name": model_b, "model_uri": model_uri}) + + response = client.get("/models/") + assert response.status_code == 200 + models_data = response.json() + + on_demand_names = {m["name"] for m in models_data["on_demand"]} + running_names = {m["name"] for m in models_data["running"]} + + assert model_a in on_demand_names + assert model_b in on_demand_names + assert model_a not in running_names + assert model_b not in running_names + assert len(models_data["on_demand"]) == initial_on_demand_count + 2 + assert len(models_data["running"]) == initial_running_count + + response = client.get(f"/models/{model_a}") + assert response.status_code == 200 + model_info = response.json() + assert model_info["name"] == model_a + assert model_info["is_running"] is False + + response = client.get(f"/models/{model_a}", params={"verbose": True}) + assert response.status_code == 200 + model_info = response.json() + assert model_info["deployment_type"] == ModelDeploymentType.AUTO.value + assert model_info["is_running"] is False + + response = client.post( + f"/models/{model_a}/tasks/process", + data="Patient diagnosed with kidney failure", + headers={"Content-Type": "text/plain"}, + ) + task_uuid = response.json()["uuid"] + wait_for_task_completion(task_uuid, tm, expected_status=Status.SUCCEEDED) + + response = client.get("/models/") + assert response.status_code == 200 + models_data = response.json() + + on_demand_names = {m["name"] for m in models_data["on_demand"]} + running_names = {m["name"] for m in models_data["running"]} + + assert model_a not in on_demand_names + assert model_b in on_demand_names + assert model_a in running_names + assert model_b not in running_names + assert len(models_data["running"]) == initial_running_count + 1 + + response = client.get(f"/models/{model_a}", params={"verbose": True}) + assert response.status_code == 200 + model_info = response.json() + assert model_info["deployment_type"] == ModelDeploymentType.AUTO.value + assert model_info["is_running"] is True + assert "runtime" in model_info + + client.delete(f"/admin/on-demand/{model_b}") + + response = client.get("/models/") + assert response.status_code == 200 + models_data = response.json() + + on_demand_names = {m["name"] for m in models_data["on_demand"]} + running_names = {m["name"] for m in models_data["running"]} + + assert model_a not in on_demand_names + assert model_b not in on_demand_names + assert model_a in running_names + assert len(models_data["on_demand"]) == initial_on_demand_count + + client.delete(f"/models/{model_a}") + client.delete(f"/admin/on-demand/{model_a}") diff --git a/tests/integration/utils.py b/tests/integration/utils.py index 82271e0..e71a536 100644 --- a/tests/integration/utils.py +++ b/tests/integration/utils.py @@ -19,6 +19,7 @@ from testcontainers.postgres import PostgresContainer from testcontainers.rabbitmq import RabbitMqContainer +from cogstack_model_gateway.common.containers import get_models from cogstack_model_gateway.common.object_store import ObjectStoreManager from cogstack_model_gateway.common.queue import QueueManager from cogstack_model_gateway.common.tasks import Status, Task, TaskManager @@ -31,15 +32,18 @@ TEST_ASSETS = Path("tests/integration/assets") TEST_CMS_ENV_FILE = TEST_ASSETS / "cms.env" +TEST_CONFIG_FILE = TEST_ASSETS / "config.json" +TEST_DOCKER_COMPOSE_CMS_OVERRIDE = TEST_ASSETS / "docker-compose.override.yml" +TEST_DOCKER_COMPOSE_MLFLOW_OVERRIDE = TEST_ASSETS / "docker-compose-mlflow.override.yml" TEST_CMS_MODEL_PACK = TEST_ASSETS / "simple_model4test-3.9-1.12.0_edeb88f7986cb05c.zip" COGSTACK_MODEL_SERVE_REPO = "https://github.com/CogStack/CogStack-ModelServe.git" -COGSTACK_MODEL_SERVE_COMMIT = "ebda7d288204373f603216d04103dfc1c0a07042" +COGSTACK_MODEL_SERVE_COMMIT = "19eb76535acae284966b53f98c398b05fb15bae5" COGSTACK_MODEL_SERVE_LOCAL_PATH = Path("downloads/CogStack-ModelServe") COGSTACK_MODEL_SERVE_COMPOSE = "docker-compose.yml" COGSTACK_MODEL_SERVE_COMPOSE_PROJECT_NAME = "cmg-test" COGSTACK_MODEL_SERVE_COMPOSE_MLFLOW = "docker-compose-mlflow.yml" -COGSTACK_MODEL_SERVE_NETWORK = "cogstack-model-serve_cms" +COGSTACK_MODEL_SERVE_NETWORK = "cmg-test_cms" TEST_MODEL_SERVICE = "medcat-umls" @@ -104,6 +108,8 @@ def setup_scheduler(request: pytest.FixtureRequest): def setup_cms(request: pytest.FixtureRequest, cleanup_cms: bool) -> dict[str, dict]: + cleanup_deployed_model_containers() + try: clone_cogstack_model_serve() except Exception as e: @@ -142,13 +148,29 @@ def configure_environment( postgres: PostgresContainer, rabbitmq: RabbitMqContainer, minio: MinioContainer, + mlflow_tracking_uri: str = None, + mlflow_s3_endpoint_url: str = None, enable_logs: bool = False, - extras: dict = None, ): log.info("Setting environment variables...") cmg_log_level = logging.INFO if enable_logs else logging.WARNING queue_connection_params = rabbitmq.get_connection_params() minio_host, minio_port = minio.get_config()["endpoint"].split(":") + + # Update test config with dynamic MLflow tracking configuration + if mlflow_tracking_uri: + with open(TEST_CONFIG_FILE) as f: + config = json.load(f) + + config["cms"]["tracking"]["uri"] = mlflow_tracking_uri + + if mlflow_s3_endpoint_url: + config["cms"]["tracking"]["s3"]["endpoint_url"] = mlflow_s3_endpoint_url + + with open(TEST_CONFIG_FILE, "w") as f: + json.dump(config, f, indent=4) + f.write("\n") + env = { "CMG_COMMON_LOG_LEVEL": logging.getLevelName(logging.WARNING), "CMG_GATEWAY_LOG_LEVEL": logging.getLevelName(cmg_log_level), @@ -156,7 +178,7 @@ def configure_environment( "CMG_DB_USER": postgres.username, "CMG_DB_PASSWORD": postgres.password, "CMG_DB_HOST": postgres.get_container_host_ip(), - "CMG_DB_PORT": postgres.get_exposed_port(postgres.port), + "CMG_DB_PORT": str(postgres.get_exposed_port(postgres.port)), "CMG_DB_NAME": "test", "CMG_QUEUE_USER": rabbitmq.username, "CMG_QUEUE_PASSWORD": rabbitmq.password, @@ -170,9 +192,13 @@ def configure_environment( "CMG_OBJECT_STORE_BUCKET_TASKS": "test-tasks", "CMG_OBJECT_STORE_BUCKET_RESULTS": "test-results", "CMG_SCHEDULER_MAX_CONCURRENT_TASKS": "1", - "CMS_PROJECT_NAME": COGSTACK_MODEL_SERVE_COMPOSE_PROJECT_NAME, - "CMS_HOST_URL": "", # Override potential local settings pointing to a proxy - **(extras or {}), + # MLflow configuration for test process to access tracking server and artifacts + "MLFLOW_TRACKING_URI": mlflow_tracking_uri or "", + "MLFLOW_TRACKING_USERNAME": "admin", + "MLFLOW_TRACKING_PASSWORD": "password", + "MLFLOW_S3_ENDPOINT_URL": mlflow_s3_endpoint_url or "", + "AWS_ACCESS_KEY_ID": "admin", + "AWS_SECRET_ACCESS_KEY": "admin123", } log.debug(env) os.environ.update(env) @@ -233,22 +259,36 @@ def start_cogstack_model_serve(model_services: list[str]) -> list[DockerCompose] log.debug(f"CogStack Model Serve environment file: {env_file_path}") + shutil.copy( + TEST_DOCKER_COMPOSE_CMS_OVERRIDE, + COGSTACK_MODEL_SERVE_LOCAL_PATH / TEST_DOCKER_COMPOSE_CMS_OVERRIDE.name, + ) + shutil.copy( + TEST_DOCKER_COMPOSE_MLFLOW_OVERRIDE, + COGSTACK_MODEL_SERVE_LOCAL_PATH / TEST_DOCKER_COMPOSE_MLFLOW_OVERRIDE.name, + ) + global cms_compose, cms_mlflow_compose try: cms_compose = DockerCompose( context=COGSTACK_MODEL_SERVE_LOCAL_PATH, - compose_file_name=COGSTACK_MODEL_SERVE_COMPOSE, + compose_file_name=[COGSTACK_MODEL_SERVE_COMPOSE, TEST_DOCKER_COMPOSE_CMS_OVERRIDE.name], env_file=".env", services=model_services, + pull=True, ) cms_compose.start() cms_mlflow_compose = DockerCompose( context=COGSTACK_MODEL_SERVE_LOCAL_PATH, - compose_file_name=COGSTACK_MODEL_SERVE_COMPOSE_MLFLOW, + compose_file_name=[ + COGSTACK_MODEL_SERVE_COMPOSE_MLFLOW, + TEST_DOCKER_COMPOSE_MLFLOW_OVERRIDE.name, + ], env_file=".env", services=["mlflow-ui", "mlflow-db", "minio", "model-bucket-init"], + pull=True, ) cms_mlflow_compose.start() @@ -286,10 +326,35 @@ def stop_cogstack_model_serve(compose_envs: list[DockerCompose]): log.info("Stopping CogStack Model Serve") for compose_env in compose_envs: log.debug(f"Stopping {compose_env}...") - compose_env.stop() + compose_env.stop(down=True) remove_cogstack_model_serve() +def cleanup_deployed_model_containers(): + """Clean up any CMG-managed model containers (manual/auto deployments). + + Removes containers with labels indicating they were deployed by the model gateway for the tests, + including both running and stopped containers. + """ + log.info("Cleaning up CMG-managed model containers deployed during testing...") + try: + if models := get_models(all=True, managed_only=True): + log.info(f"Found {len(models)} CMG-managed container(s) to clean up") + for model in models: + container = model["container"] + try: + log.debug(f"Removing container '{container.name}'...") + container.remove(force=True) + log.debug(f"Removed container '{container.name}'") + except Exception as e: + log.warning(f"Failed to remove container '{container.name}': {e}") + else: + log.debug("No CMG-managed model containers found") + + except Exception as e: + log.warning(f"Failed to clean up deployed model containers: {e}") + + def validate_api_response( response: requests.Response, expected_status_code: int, return_json: bool = False ): @@ -405,3 +470,24 @@ def parse_mlflow_url(url: str) -> tuple: assert run.info.experiment_id == experiment_id return tracking_uri, experiment_id, run_id + + +def get_deployed_model_container(model_name: str) -> Container | None: + return next( + ( + m["container"] + for m in get_models(all=True, managed_only=True) + if m["service_name"] == model_name + ), + None, + ) + + +def count_deployed_model_containers() -> int: + return len(get_models(all=True, managed_only=True)) + + +def verify_container_labels(container: Container, expected_labels: dict): + for key, expected_value in expected_labels.items(): + assert key in container.labels + assert container.labels[key] == expected_value diff --git a/tests/unit/client/test_client.py b/tests/unit/client/test_client.py index 1cada4a..a9ed053 100644 --- a/tests/unit/client/test_client.py +++ b/tests/unit/client/test_client.py @@ -30,12 +30,14 @@ async def test_gateway_client_init(): base_url="http://localhost:8888/", default_model="test-model", polling_interval=0.5, - timeout=0.1, + polling_timeout=0.1, + request_timeout=120.0, ) assert client.base_url == "http://localhost:8888" assert client.default_model == "test-model" assert client.polling_interval == 0.5 - assert client.timeout == 0.1 + assert client.polling_timeout == 0.1 + assert client.request_timeout == 120.0 assert client._client is None client = GatewayClient( @@ -43,7 +45,8 @@ async def test_gateway_client_init(): polling_interval=10, ) assert client.polling_interval == 3.0 # Maximum 3.0 seconds - assert client.timeout is None # Default timeout should be None + assert client.polling_timeout is None # Default polling_timeout should be None + assert client.request_timeout == 300.0 # Default request_timeout client.polling_interval = 0.05 assert client.polling_interval == 0.5 # Minimum is 0.5 seconds @@ -377,16 +380,15 @@ async def test_wait_for_task_timeout(mock_httpx_async_client, mocker): mocker.patch("cogstack_model_gateway_client.client.GatewayClient.get_task", new=mock_get_task) mocker.patch("asyncio.sleep", new=AsyncMock()) - async with GatewayClient(base_url="http://test-gateway.com") as client: - client.timeout = 0.05 - client.polling_interval = 0.5 - + async with GatewayClient( + base_url="http://test-gateway.com", polling_timeout=0.05, polling_interval=0.5 + ) as client: with pytest.raises( TimeoutError, match="Timed out waiting for task 'task-polling' to complete" ): await client.wait_for_task("task-polling") - assert mock_get_task.await_count >= (client.timeout / client.polling_interval) + assert mock_get_task.await_count >= (client.polling_timeout / client.polling_interval) @pytest.mark.asyncio @@ -406,10 +408,9 @@ async def mock_get_task_side_effect(*args, **kwargs): mocker.patch("cogstack_model_gateway_client.client.GatewayClient.get_task", new=mock_get_task) mocker.patch("asyncio.sleep", new=AsyncMock()) - async with GatewayClient(base_url="http://test-gateway.com") as client: - assert client.timeout is None - client.polling_interval = 0.01 - + async with GatewayClient( + base_url="http://test-gateway.com", polling_timeout=None, polling_interval=0.01 + ) as client: result = await client.wait_for_task("task-polling") assert result["status"] == "succeeded" @@ -486,17 +487,21 @@ async def test_get_model_success(mock_httpx_async_client): """Test get_model for successful retrieval.""" _, mock_client_instance = mock_httpx_async_client mock_response = MagicMock() - mock_response.json.return_value = {"name": "my_model", "status": "deployed"} + mock_response.json.return_value = { + "name": "my_model", + "uri": "models:/my_model/1", + "is_running": True, + } mock_response.raise_for_status.return_value = mock_response mock_client_instance.request.return_value = mock_response async with GatewayClient(base_url="http://test-gateway.com") as client: model_info = await client.get_model(model_name="my_model") - assert model_info == {"name": "my_model", "status": "deployed"} + assert model_info == {"name": "my_model", "uri": "models:/my_model/1", "is_running": True} mock_client_instance.request.assert_awaited_once_with( method="GET", - url="http://test-gateway.com/models/my_model/info", - params=None, + url="http://test-gateway.com/models/my_model", + params={"verbose": False}, data=None, json=None, files=None, @@ -509,7 +514,11 @@ async def test_get_model_with_default_model(mock_httpx_async_client): """Test get_model using the default model.""" _, mock_client_instance = mock_httpx_async_client mock_response = MagicMock() - mock_response.json.return_value = {"name": "default_model", "status": "deployed"} + mock_response.json.return_value = { + "name": "default_model", + "uri": "models:/default_model/1", + "is_running": True, + } mock_response.raise_for_status.return_value = mock_response mock_client_instance.request.return_value = mock_response @@ -517,11 +526,15 @@ async def test_get_model_with_default_model(mock_httpx_async_client): base_url="http://test-gateway.com", default_model="default_model" ) as client: model_info = await client.get_model() - assert model_info == {"name": "default_model", "status": "deployed"} + assert model_info == { + "name": "default_model", + "uri": "models:/default_model/1", + "is_running": True, + } mock_client_instance.request.assert_awaited_once_with( method="GET", - url="http://test-gateway.com/models/default_model/info", - params=None, + url="http://test-gateway.com/models/default_model", + params={"verbose": False}, data=None, json=None, files=None, @@ -569,6 +582,387 @@ async def test_deploy_model_success(mock_httpx_async_client): ) +@pytest.mark.asyncio +async def test_remove_model(mock_httpx_async_client): + """Test remove_model.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + await client.remove_model(model_name="my_model", force=False) + + mock_client_instance.request.assert_awaited_once_with( + method="DELETE", + url="http://test-gateway.com/models/my_model", + params={"force": False}, + data=None, + json=None, + files=None, + headers=None, + ) + + # Test remove_model with force flag + mock_client_instance.request.reset_mock() + async with GatewayClient(base_url="http://test-gateway.com") as client: + await client.remove_model(model_name="my_model", force=True) + + mock_client_instance.request.assert_awaited_once_with( + method="DELETE", + url="http://test-gateway.com/models/my_model", + params={"force": True}, + data=None, + json=None, + files=None, + headers=None, + ) + + # Test remove_model using default model + mock_client_instance.request.reset_mock() + async with GatewayClient( + base_url="http://test-gateway.com", default_model="default_model" + ) as client: + await client.remove_model() + + mock_client_instance.request.assert_awaited_once_with( + method="DELETE", + url="http://test-gateway.com/models/default_model", + params={"force": False}, + data=None, + json=None, + files=None, + headers=None, + ) + + # Test remove_model raises ValueError if no model name is provided + async with GatewayClient(base_url="http://test-gateway.com") as client: + with pytest.raises(ValueError, match="Please provide a model name or set a default model"): + await client.remove_model() + + +@pytest.mark.asyncio +async def test_list_on_demand_configs(mock_httpx_async_client): + """Test list_on_demand_configs.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "configs": [{"model_name": "model1"}, {"model_name": "model2"}], + "total": 2, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + configs = await client.list_on_demand_configs(include_disabled=False) + + assert configs == {"configs": [{"model_name": "model1"}, {"model_name": "model2"}], "total": 2} + mock_client_instance.request.assert_awaited_once_with( + method="GET", + url="http://test-gateway.com/admin/on-demand", + params={"include_disabled": False}, + data=None, + json=None, + files=None, + headers=None, + ) + + # Test list_on_demand_configs including disabled configs + mock_client_instance.request.reset_mock() + async with GatewayClient(base_url="http://test-gateway.com") as client: + configs = await client.list_on_demand_configs(include_disabled=True) + + assert configs["total"] == 2 + mock_client_instance.request.assert_awaited_once_with( + method="GET", + url="http://test-gateway.com/admin/on-demand", + params={"include_disabled": True}, + data=None, + json=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_create_on_demand_config(mock_httpx_async_client): + """Test create_on_demand_config.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "model_uri": "models:/my_model/1", + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.create_on_demand_config( + model_name="my_model", + model_uri="models:/my_model/1", + idle_ttl=3600, + description="Test model", + replace_enabled=True, + inherit_config=False, + ) + + assert config["model_name"] == "my_model" + mock_client_instance.request.assert_awaited_once_with( + method="POST", + url="http://test-gateway.com/admin/on-demand", + json={ + "model_name": "my_model", + "tracking_id": None, + "model_uri": "models:/my_model/1", + "idle_ttl": 3600, + "description": "Test model", + "deploy": None, + "replace_enabled": True, + "inherit_config": False, + }, + params=None, + data=None, + files=None, + headers=None, + ) + + # Test create_on_demand_config with tracking_id + mock_client_instance.request.reset_mock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "tracking_id": "run123", + "model_uri": "models:/my_model/1", + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.create_on_demand_config( + model_name="my_model", + tracking_id="run123", + ) + + assert config["tracking_id"] == "run123" + mock_client_instance.request.assert_awaited_once_with( + method="POST", + url="http://test-gateway.com/admin/on-demand", + json={ + "model_name": "my_model", + "tracking_id": "run123", + "model_uri": None, + "idle_ttl": None, + "description": None, + "deploy": None, + "replace_enabled": True, + "inherit_config": True, + }, + params=None, + data=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_get_on_demand_config(mock_httpx_async_client): + """Test get_on_demand_config.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "model_uri": "models:/my_model/1", + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.get_on_demand_config(model_name="my_model") + + assert config["model_name"] == "my_model" + mock_client_instance.request.assert_awaited_once_with( + method="GET", + url="http://test-gateway.com/admin/on-demand/my_model", + params=None, + data=None, + json=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_update_on_demand_config(mock_httpx_async_client): + """Test update_on_demand_config.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "model_uri": "models:/my_model/2", + "idle_ttl": 7200, + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.update_on_demand_config( + model_name="my_model", + model_uri="models:/my_model/2", + idle_ttl=7200, + ) + + assert config["model_uri"] == "models:/my_model/2" + assert config["idle_ttl"] == 7200 + mock_client_instance.request.assert_awaited_once_with( + method="PUT", + url="http://test-gateway.com/admin/on-demand/my_model", + json={ + "tracking_id": None, + "model_uri": "models:/my_model/2", + "idle_ttl": 7200, + "description": None, + "deploy": None, + "clear_tracking_id": False, + "clear_idle_ttl": False, + "clear_description": False, + "clear_deploy": False, + }, + params=None, + data=None, + files=None, + headers=None, + ) + + # Test update_on_demand_config with clear flags + mock_client_instance.request.reset_mock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "model_uri": "models:/my_model/2", + "tracking_id": None, + "description": None, + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.update_on_demand_config( + model_name="my_model", + clear_tracking_id=True, + clear_description=True, + ) + + mock_client_instance.request.assert_awaited_once_with( + method="PUT", + url="http://test-gateway.com/admin/on-demand/my_model", + json={ + "tracking_id": None, + "model_uri": None, + "idle_ttl": None, + "description": None, + "deploy": None, + "clear_tracking_id": True, + "clear_idle_ttl": False, + "clear_description": True, + "clear_deploy": False, + }, + params=None, + data=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_delete_on_demand_config(mock_httpx_async_client): + """Test delete_on_demand_config.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + await client.delete_on_demand_config(model_name="my_model") + + mock_client_instance.request.assert_awaited_once_with( + method="DELETE", + url="http://test-gateway.com/admin/on-demand/my_model", + params=None, + data=None, + json=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_get_on_demand_config_history(mock_httpx_async_client): + """Test get_on_demand_config_history.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "configs": [ + {"id": 2, "model_name": "my_model", "enabled": True}, + {"id": 1, "model_name": "my_model", "enabled": False}, + ], + "total": 2, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + history = await client.get_on_demand_config_history(model_name="my_model") + + assert history["total"] == 2 + assert len(history["configs"]) == 2 + mock_client_instance.request.assert_awaited_once_with( + method="GET", + url="http://test-gateway.com/admin/on-demand/my_model/history", + params=None, + data=None, + json=None, + files=None, + headers=None, + ) + + +@pytest.mark.asyncio +async def test_enable_on_demand_config(mock_httpx_async_client): + """Test enable_on_demand_config.""" + _, mock_client_instance = mock_httpx_async_client + mock_response = MagicMock() + mock_response.json.return_value = { + "id": 1, + "model_name": "my_model", + "enabled": True, + } + mock_response.raise_for_status.return_value = mock_response + mock_client_instance.request.return_value = mock_response + + async with GatewayClient(base_url="http://test-gateway.com") as client: + config = await client.enable_on_demand_config(config_id=1) + + assert config["enabled"] is True + assert config["id"] == 1 + mock_client_instance.request.assert_awaited_once_with( + method="POST", + url="http://test-gateway.com/admin/on-demand/1/enable", + params=None, + data=None, + json=None, + files=None, + headers=None, + ) + + @pytest.mark.asyncio async def test_health_check_success(mock_httpx_async_client): """Test health_check for successful health status retrieval.""" @@ -830,7 +1224,7 @@ def mock_request(*args, **kwargs): # Verify the specific URLs were called call_args = [call[1]["url"] for call in mock_client_instance.request.call_args_list] assert "http://test-gateway.com/models/" in call_args[0] # get_models - assert "http://test-gateway.com/models/model1/info" in call_args[1] # get_model + assert "http://test-gateway.com/models/model1" in call_args[1] # get_model finally: del client @@ -925,7 +1319,7 @@ def test_sync_client_is_healthy(mock_httpx_async_client): def test_sync_client_timeout_handling(mock_httpx_async_client): - """Test that timeouts work correctly in the sync client.""" + """Test that polling_timeout works correctly in the sync client.""" _, mock_client_instance = mock_httpx_async_client async def slow_response(*args, **kwargs): diff --git a/tests/unit/common/test_config.py b/tests/unit/common/test_config.py index b95ce67..3a39b79 100644 --- a/tests/unit/common/test_config.py +++ b/tests/unit/common/test_config.py @@ -1,112 +1,268 @@ from unittest.mock import mock_open, patch +from pydantic import BaseModel + from cogstack_model_gateway.common.config import ( - ACCEPTED_ENVIRONMENT_VARIABLES, Config, get_config, load_config, ) TEST_ENV_VARS = { - "CMS_HOST_URL": "http://localhost:8000", "CMG_DB_USER": "test_user", + "CMG_DB_PASSWORD": "test_password", + "CMG_DB_HOST": "localhost", + "CMG_DB_PORT": "5432", "CMG_NOT_ACCEPTED_VAR": "test_value", "OTHER_NOT_ACCEPTED_VAR": "other_value", } -def test_config_bool(): - assert not Config({}) - assert Config({"key": "value"}) +def test_config_is_pydantic_model(): + """Test that Config is a Pydantic model.""" + config = Config.model_validate({}) + assert isinstance(config, BaseModel) + assert hasattr(config, "model_dump") + assert hasattr(config, "model_validate") -def test_config_contains(): - config = Config({"key": "value"}) - assert "key" in config - assert "missing_key" not in config +def test_config_has_expected_fields(): + """Test that Config has the expected top-level fields.""" + config = Config.model_validate({}) -def test_config_len(): - assert len(Config({})) == 0 - assert len(Config({"key": "value"})) == 1 - assert len(Config({"key": "value", "nested": {"inner_key": "inner_value"}})) == 2 + assert hasattr(config, "cms") + assert hasattr(config, "db") + assert hasattr(config, "object_store") + assert hasattr(config, "queue") + assert hasattr(config, "scheduler") + assert hasattr(config, "ripper") + assert hasattr(config, "models") -def test_config_iter(): - config = Config({"key": "value", "nested": {"inner_key": "inner_value"}}) - assert set(iter(config)) == {"key", "nested"} - assert set(iter(config.nested)) == {"inner_key"} +def test_config_validation(): + """Test that Config validates input properly.""" + config = Config.model_validate({}) + assert config is not None + config = Config.model_validate( + { + "db": {"user": "test_user"}, + } + ) + assert config.db.user == "test_user" -def test_config_eq(): - assert Config({"key": "value"}) == Config({"key": "value"}) - assert Config({"key": "value"}) != Config({"key": "other_value"}) - assert Config({"key": "value"}) != "not a Config" +def test_config_to_dict(): + """Test converting Config to dictionary.""" + config = Config.model_validate( + { + "db": {"user": "test_user"}, + } + ) -def test_config_repr(): - config = Config({"key": "value"}) - assert repr(config) == "Config({'key': 'value'})" + config_dict = config.model_dump() + assert isinstance(config_dict, dict) + assert "db" in config_dict + assert config_dict["db"]["user"] == "test_user" - config.set("nested", {"inner_key": "inner_value"}) - assert ( - repr(config) == "Config({'key': 'value', 'nested': Config({'inner_key': 'inner_value'})})" - ) +@patch("cogstack_model_gateway.common.config._config_instance", new=None) +def test_get_config_before_load(): + """Test that get_config raises error if config not loaded.""" + try: + get_config() + assert False, "Should have raised RuntimeError" + except RuntimeError as e: + assert "not initialized" in str(e).lower() -def test_config_to_dict(): - d = {"key": "value", "nested": {"inner_key": "inner_value"}} - assert Config(d).to_dict() == d +def test_get_config_after_load(): + """Test that get_config returns the cached config instance.""" + mock_config = Config.model_validate({}) -def test_config_set(): - config = Config({}) - config.set("key", "value") - assert config.key == "value" + with patch("cogstack_model_gateway.common.config._config_instance", new=mock_config): + config = get_config() + assert isinstance(config, Config) + assert config is mock_config - config.set("nested", {"inner_key": "inner_value"}) - assert isinstance(config.nested, Config) - assert config.nested.inner_key == "inner_value" +@patch("cogstack_model_gateway.common.config._config_instance", new=None) +@patch("cogstack_model_gateway.common.config.load_dotenv") +@patch("os.getenv", side_effect=lambda k, d=None: TEST_ENV_VARS.get(k, d)) +@patch( + "builtins.open", + new_callable=mock_open, + read_data='{"models": {"deployment": {"auto": {"enabled": true}}}}', +) +def test_load_config(mock_file, mock_getenv, mock_load_dotenv): + """Test loading config from JSON file and environment variables.""" + config = load_config() -@patch("cogstack_model_gateway.common.config._config_instance", new=Config({"key": "value"})) -def test_get_config(): - config = get_config() assert isinstance(config, Config) - assert config.key == "value" + assert config.db.user == "test_user" + assert config.db.password == "test_password" + assert config.db.host == "localhost" + assert config.db.port == 5432 -@patch("builtins.open", new_callable=mock_open, read_data='{"key": "value"}') -@patch("os.getenv", side_effect=lambda k, d=None: TEST_ENV_VARS.get(k, d)) + assert config.models is not None + + +@patch("cogstack_model_gateway.common.config._config_instance", new=None) @patch("cogstack_model_gateway.common.config.load_dotenv") +@patch("os.getenv", side_effect=lambda k, d=None: None) +@patch("builtins.open", new_callable=mock_open, read_data='{"models": {}, "labels": {}}') +def test_load_config_no_env_vars(mock_file, mock_getenv, mock_load_dotenv): + """Test loading config with no environment variables set.""" + config = load_config() + + assert isinstance(config, Config) + + # Check that config uses defaults when env vars not set + assert config.db is not None + assert config.models is not None + + @patch("cogstack_model_gateway.common.config._config_instance", new=None) -def test_load_config(mock_load_dotenv, mock_getenv, mock_open): +@patch("cogstack_model_gateway.common.config.load_dotenv") +@patch("os.getenv", side_effect=lambda k, d=None: TEST_ENV_VARS.get(k, d)) +@patch("builtins.open", side_effect=FileNotFoundError) +def test_load_config_missing_file(mock_file, mock_getenv, mock_load_dotenv): + """Test loading config when JSON file is missing (uses defaults).""" config = load_config() + assert isinstance(config, Config) - assert config.key == "value" - assert "cmg" in config - assert len(config.cmg) == len(ACCEPTED_ENVIRONMENT_VARIABLES["cmg"]) - assert "db_user" in config.cmg - assert config.cmg.db_user == "test_user" + # Should still have env var config + assert config.db.user == "test_user" - assert "cms" in config - assert len(config.cms) == len(ACCEPTED_ENVIRONMENT_VARIABLES["cms"]) - assert "host_url" in config.cms - assert config.cms.host_url == "http://localhost:8000" + assert config.models is not None -@patch("builtins.open", new_callable=mock_open, read_data='{"key": "value"}') -@patch("os.getenv", side_effect=lambda k, d=None: None) +@patch("cogstack_model_gateway.common.config._config_instance", new=None) @patch("cogstack_model_gateway.common.config.load_dotenv") +@patch("os.getenv", return_value=None) +@patch("builtins.open", new_callable=mock_open, read_data='{"models": {}, "labels": {}}') +def test_load_config_caching(mock_file, mock_getenv, mock_load_dotenv): + """Test that load_config caches the result.""" + config1 = load_config() + config2 = load_config() + + # Should return the same instance + assert config1 is config2 + + +def test_config_runtime_managers(): + """Test that runtime managers can be assigned and accessed.""" + config = Config.model_validate({}) + + # Initially None + assert config.database_manager is None + assert config.task_manager is None + assert config.model_manager is None + assert config.task_object_store_manager is None + assert config.results_object_store_manager is None + assert config.queue_manager is None + + # Can be assigned + class MockManager: + def __init__(self, name): + self.name = name + + config.database_manager = MockManager("DB") + config.task_manager = MockManager("Task") + + assert config.database_manager.name == "DB" + assert config.task_manager.name == "Task" + + +def test_config_models_deployment(): + """Test models deployment configuration structure.""" + config = Config.model_validate({}) + + assert hasattr(config.models.deployment, "auto") + auto_config = config.models.deployment.auto + assert auto_config.health_check_timeout == 300 + assert auto_config.default_idle_ttl == 3600 + assert auto_config.deployment_retry_attempts == 2 + + assert hasattr(config.models.deployment, "manual") + assert config.models.deployment.manual.default_ttl == 86400 + assert config.models.deployment.manual.allow_ttl_override is True + + assert hasattr(config.models.deployment, "static") + + +def test_config_labels(): + """Test Docker labels configuration.""" + config = Config.model_validate({}) + + assert config.labels.cms_model_label == "org.cogstack.model-serve" + assert config.labels.cms_model_uri_label == "org.cogstack.model-serve.uri" + assert config.labels.deployment_type_label == "org.cogstack.model-gateway.deployment-type" + assert config.labels.managed_by_label == "org.cogstack.model-gateway.managed-by" + assert config.labels.managed_by_value == "cmg" + assert config.labels.ttl_label == "org.cogstack.model-gateway.ttl" + + +def test_config_helper_get_auto_deployment_config(): + """Test get_auto_deployment_config helper method.""" + config = Config.model_validate( + { + "models": { + "deployment": { + "auto": { + "health_check_timeout": 500, + "default_idle_ttl": 7200, + } + } + } + } + ) + + auto_config = config.get_auto_deployment_config() + assert auto_config.health_check_timeout == 500 + assert auto_config.default_idle_ttl == 7200 + + @patch("cogstack_model_gateway.common.config._config_instance", new=None) -def test_load_config_no_env_vars(mock_load_dotenv, mock_getenv, mock_open): +@patch("cogstack_model_gateway.common.config.load_dotenv") +@patch("os.getenv", side_effect=lambda k, d=None: TEST_ENV_VARS.get(k, d)) +@patch("builtins.open", new_callable=mock_open, read_data='{"models": {}, "labels": {}}') +def test_config_comprehensive_structure(mock_file, mock_getenv, mock_load_dotenv): + """Test comprehensive config structure access (similar to manual test scripts).""" config = load_config() - assert isinstance(config, Config) - assert config.key == "value" - assert "cmg" in config and "cms" in config - assert len(config.cmg) == len(ACCEPTED_ENVIRONMENT_VARIABLES["cmg"]) - assert len(config.cms) == len(ACCEPTED_ENVIRONMENT_VARIABLES["cms"]) - config.set("nested", {"inner_key": "inner_value"}) - assert isinstance(config.nested, Config) - assert config.nested.inner_key == "inner_value" + + # Test all major sections exist + assert config.cms is not None + assert config.db is not None + assert config.object_store is not None + assert config.queue is not None + assert config.scheduler is not None + assert config.ripper is not None + assert config.models is not None + assert config.labels is not None + + # Test database config (from env vars) + assert config.db.host == "localhost" + assert config.db.port == 5432 + assert config.db.user == "test_user" + assert config.db.password == "test_password" + + # Test object store config (defaults) + assert config.object_store.host == "object-store" + assert config.object_store.bucket_tasks == "cmg-tasks" + + # Test queue config (defaults) + assert config.queue.host == "queue" + assert config.queue.name == "cmg_tasks" + + # Test models config structure + assert config.models.deployment.auto is not None + assert config.models.deployment.manual is not None + assert config.models.deployment.static is not None + + # Test labels + assert "cogstack" in config.labels.cms_model_label.lower() + assert config.labels.managed_by_value == "cmg" diff --git a/tests/unit/common/test_models.py b/tests/unit/common/test_models.py new file mode 100644 index 0000000..35a13bc --- /dev/null +++ b/tests/unit/common/test_models.py @@ -0,0 +1,714 @@ +import time +from datetime import UTC, datetime +from unittest.mock import MagicMock, patch + +import pytest +from dateutil import parser +from sqlmodel import Session + +from cogstack_model_gateway.common.exceptions import ConfigConflictError, ConfigValidationError +from cogstack_model_gateway.common.models import Model, ModelDeploymentType, ModelManager + + +@pytest.fixture +def model_manager(db_manager: Session) -> ModelManager: + """Create a ModelManager instance for testing.""" + return ModelManager(db_manager) + + +def test_create_model(model_manager: ModelManager) -> None: + """Test creating a model with different deployment types.""" + model = model_manager.create_model( + model_name="medcat-snomed", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + assert isinstance(model, Model) + assert model.model_name == "medcat-snomed" + assert model.deployment_type == ModelDeploymentType.AUTO + assert model.idle_ttl == 300 + assert model.ready is False + assert model.created_at is not None + assert isinstance(model.created_at, str) + parser.isoparse(model.created_at) + assert model.last_used_at is not None + assert isinstance(model.last_used_at, str) + parser.isoparse(model.last_used_at) + + # Test creating a manual deployment model without idle_ttl + model = model_manager.create_model( + model_name="custom-ner", deployment_type=ModelDeploymentType.MANUAL + ) + assert model.model_name == "custom-ner" + assert model.deployment_type == ModelDeploymentType.MANUAL + assert model.idle_ttl is None + assert model.ready is False + + # Test creating a static deployment model + model = model_manager.create_model( + model_name="static-classifier", deployment_type=ModelDeploymentType.STATIC, ready=True + ) + assert model.model_name == "static-classifier" + assert model.deployment_type == ModelDeploymentType.STATIC + assert model.idle_ttl is None + assert model.ready is True + + +def test_create_model_duplicate(model_manager: ModelManager) -> None: + """Test that creating a duplicate model raises ValueError.""" + model_manager.create_model( + model_name="duplicate-test", deployment_type=ModelDeploymentType.MANUAL, idle_ttl=300 + ) + + # Attempt to create a model with the same name + with pytest.raises(ValueError, match="Model 'duplicate-test' already exists"): + model_manager.create_model( + model_name="duplicate-test", deployment_type=ModelDeploymentType.AUTO, idle_ttl=600 + ) + + +def test_get_model(model_manager: ModelManager) -> None: + """Test retrieving a model by name.""" + model_manager.create_model( + model_name="test-get-model", + deployment_type=ModelDeploymentType.AUTO, + idle_ttl=300, + ready=False, + ) + + retrieved_model = model_manager.get_model("test-get-model") + assert retrieved_model is not None + assert retrieved_model.model_name == "test-get-model" + assert retrieved_model.deployment_type == ModelDeploymentType.AUTO + assert retrieved_model.idle_ttl == 300 + assert retrieved_model.ready is False + + # Test getting a non-existent model + non_existent = model_manager.get_model("nonexistent-model") + assert non_existent is None + + +def test_mark_model_ready(model_manager: ModelManager) -> None: + """Test marking a model as ready.""" + model = model_manager.create_model( + model_name="test-mark-ready", + deployment_type=ModelDeploymentType.MANUAL, + idle_ttl=300, + ready=False, + ) + assert model.ready is False + + updated_model = model_manager.mark_model_ready("test-mark-ready") + assert updated_model is not None + assert updated_model.ready is True + + retrieved_model = model_manager.get_model("test-mark-ready") + assert retrieved_model is not None + assert retrieved_model.ready is True + + # Test marking a non-existent model as ready + result = model_manager.mark_model_ready("nonexistent-model") + assert result is None + + +def test_record_model_usage(model_manager: ModelManager) -> None: + """Test recording usage updates last_used_at timestamp.""" + model = model_manager.create_model( + model_name="api-model", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + original_last_used = parser.isoparse(model.last_used_at) + + time.sleep(0.01) + + updated_model = model_manager.record_model_usage(model.model_name) + assert updated_model is not None + updated_last_used = parser.isoparse(updated_model.last_used_at) + assert updated_last_used > original_last_used + + # Test recording usage for a non-existent model + updated_model = model_manager.record_model_usage("nonexistent-model") + assert updated_model is None + + +def test_delete_model(model_manager: ModelManager) -> None: + """Test deleting a model.""" + model_manager.create_model( + model_name="delete-me", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + result = model_manager.delete_model("delete-me") + assert result is True + + # Test deleting a non-existent model + result = model_manager.delete_model("nonexistent-model") + assert result is False + + +def test_is_model_idle(model_manager: ModelManager) -> None: + """Test is_model_idle returns tuple of (is_idle, idle_seconds).""" + old_time = datetime.fromtimestamp(datetime.now(UTC).timestamp() - 1000, UTC) + # Manually create model with old last_used_at (1000 seconds > 300 second TTL) + with model_manager.db_manager.get_session() as session: + model = Model( + model_name="idle-model", + deployment_type=ModelDeploymentType.AUTO, + idle_ttl=300, + last_used_at=old_time.isoformat(), + ) + session.add(model) + session.commit() + + is_idle, idle_seconds = model_manager.is_model_idle("idle-model") + assert is_idle is True + assert idle_seconds >= 1000.0 + assert idle_seconds < 1001.0 + + # Test is_model_idle returns False for recently used model + model = model_manager.create_model( + model_name="active-model", + deployment_type=ModelDeploymentType.AUTO, + idle_ttl=300, + ) + is_idle, idle_seconds = model_manager.is_model_idle("active-model") + assert is_idle is False + assert idle_seconds < 300 + + # Test is_model_idle returns False for model without TTL + with model_manager.db_manager.get_session() as session: + old_time = datetime.fromtimestamp(datetime.now(UTC).timestamp() - 1000, UTC) + model = Model( + model_name="no-ttl-model", + deployment_type=ModelDeploymentType.MANUAL, + idle_ttl=None, + last_used_at=old_time.isoformat(), + ) + session.add(model) + session.commit() + + is_idle, idle_seconds = model_manager.is_model_idle("no-ttl-model") + assert is_idle is False + assert idle_seconds == 0.0 + + # Test is_model_idle returns False for non-existent model + is_idle, idle_seconds = model_manager.is_model_idle("nonexistent-model") + assert is_idle is False + assert idle_seconds == 0.0 + + +@patch("cogstack_model_gateway.common.models.log.debug") +def test_logging_create(mock_log_debug: MagicMock, model_manager: ModelManager) -> None: + """Test logged outputs for create operation.""" + model_manager.create_model( + model_name="log-test", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + mock_log_debug.assert_called_with( + "Created model record: %s (type=%s, idle_ttl=%s)", + "log-test", + "auto", + 300, + ) + + +@patch("cogstack_model_gateway.common.models.log.debug") +def test_logging_record_model_usage(mock_log_debug: MagicMock, model_manager: ModelManager) -> None: + """Test debug logging for record_model_usage operation.""" + model_manager.create_model( + model_name="debug-test", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + mock_log_debug.reset_mock() + + model_manager.record_model_usage("debug-test") + mock_log_debug.assert_called_with("Updated last_used_at for model: %s", "debug-test") + + +@patch("cogstack_model_gateway.common.models.log.debug") +def test_logging_delete(mock_log_debug: MagicMock, model_manager: ModelManager) -> None: + """Test logged outputs for delete operation.""" + model_manager.create_model( + model_name="delete-log-test", deployment_type=ModelDeploymentType.AUTO, idle_ttl=300 + ) + mock_log_debug.reset_mock() + + model_manager.delete_model("delete-log-test") + mock_log_debug.assert_called_with("Deleted model record: %s", "delete-log-test") + + +@patch("cogstack_model_gateway.common.models.log.debug") +def test_is_model_idle_logging(mock_log_debug: MagicMock, model_manager: ModelManager) -> None: + """Test debug logging for is_model_idle operation.""" + old_time = datetime.fromtimestamp(datetime.now(UTC).timestamp() - 1000, UTC) + with model_manager.db_manager.get_session() as session: + model = Model( + model_name="idle-model-log", + deployment_type=ModelDeploymentType.AUTO, + idle_ttl=300, + last_used_at=old_time.isoformat(), + ) + session.add(model) + session.commit() + + model_manager.is_model_idle("idle-model-log") + + mock_log_debug.assert_called_once() + call_args = mock_log_debug.call_args[0] + assert call_args[0] == "Model %s idle check: %s (idle_time=%.0fs, ttl=%ss)" + assert call_args[1] == "idle-model-log" + assert call_args[2] is True + assert call_args[3] >= 1000, f"Expected idle_time >= 1000s, got {call_args[3]}" + assert call_args[4] == 300 + + +@patch("cogstack_model_gateway.common.models.log.warning") +def test_logging_warning(mock_log_warning: MagicMock, model_manager: ModelManager) -> None: + """Test logged warnings for non-existent operations.""" + model_manager.record_model_usage("nonexistent") + mock_log_warning.assert_called_with("Model record not found: %s", "nonexistent") + + mock_log_warning.reset_mock() + model_manager.delete_model("nonexistent") + mock_log_warning.assert_called_with("Model record not found for deletion: %s", "nonexistent") + + +def test_create_on_demand_config(model_manager: ModelManager) -> None: + """Test creating an on-demand model configuration.""" + config = model_manager.create_on_demand_config( + model_name="test-create", + model_uri="models:/test-create-1/Production", + idle_ttl=3600, + description="Test model", + deploy_spec={"resources": {"limits": {"memory": "4g", "cpus": "2.0"}}}, + ) + + assert config.id is not None + assert config.model_name == "test-create" + assert config.model_uri == "models:/test-create-1/Production" + assert config.idle_ttl == 3600 + assert config.description == "Test model" + assert config.deploy_spec_json == '{"resources": {"limits": {"memory": "4g", "cpus": "2.0"}}}' + assert config.enabled is True + assert config.created_at is not None + assert config.updated_at is not None + + # Test that creating a duplicate config replaces the existing one + config2 = model_manager.create_on_demand_config( + model_name="test-create", + model_uri="models:/test-create-1/v2", + ) + + assert config2.id is not None + assert config2.id != config.id + assert config2.model_name == "test-create" + assert config2.model_uri == "models:/test-create-1/v2" + + # Inherited properties from previous config remain the same + assert config2.idle_ttl == 3600 + assert config2.description == "Test model" + assert config2.deploy_spec_json == '{"resources": {"limits": {"memory": "4g", "cpus": "2.0"}}}' + assert config2.enabled is True + assert config2.created_at is not None + assert config2.updated_at is not None + + old_config = model_manager.get_on_demand_config_by_id(config.id) + assert old_config is not None + assert old_config.enabled is False + + # Test creating a config without inheritance + config3 = model_manager.create_on_demand_config( + model_name="test-create", + model_uri="models:/test-create-2/v1", + idle_ttl=7200, + inherit_config=False, + ) + + assert config3.id is not None + assert config3.id != config2.id + assert config3.model_name == "test-create" + assert config3.model_uri == "models:/test-create-2/v1" + assert config3.idle_ttl == 7200 + assert config3.description is None # No inheritance, therefore equals the default value + assert config3.deploy_spec_json is None # No inheritance, therefore equals the default value + + # Test that creating a config without inheritance and missing required fields + # raises ConfigValidationError + with pytest.raises(ConfigValidationError, match="model_uri is required"): + model_manager.create_on_demand_config( + model_name="test-create", + inherit_config=False, + ) + + # Test that creating a duplicate config with replace_enabled=False raises ConfigConflictError + with pytest.raises(ConfigConflictError, match="already exists"): + model_manager.create_on_demand_config( + model_name="test-create", + model_uri="models:/test-create-4/v1", + replace_enabled=False, + ) + + +def test_get_on_demand_config(model_manager: ModelManager) -> None: + """Test retrieving an on-demand config by service name.""" + model_manager.create_on_demand_config( + model_name="test-get", + model_uri="models:/test-1/v1", + idle_ttl=3600, + description="Test model", + ) + + config = model_manager.get_on_demand_config("test-get") + assert config is not None + assert config.model_name == "test-get" + assert config.model_uri == "models:/test-1/v1" + + # Test getting a non-existent config + config = model_manager.get_on_demand_config("nonexistent") + assert config is None + + +def test_get_on_demand_config_by_id(model_manager: ModelManager) -> None: + """Test retrieving an on-demand config by ID.""" + created_config = model_manager.create_on_demand_config( + model_name="test-id", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + + config = model_manager.get_on_demand_config_by_id(created_config.id) + assert config is not None + assert config.model_name == "test-id" + + # Test getting a non-existent ID + config = model_manager.get_on_demand_config_by_id(99999) + assert config is None + + +def test_list_on_demand_configs(model_manager: ModelManager) -> None: + """Test listing on-demand configs.""" + model_manager.create_on_demand_config( + model_name="test-list-1", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + model_manager.create_on_demand_config( + model_name="test-list-1", + model_uri="models:/test-1/v2", + ) + model_manager.create_on_demand_config( + model_name="test-list-2", + model_uri="models:/test-2/v1", + idle_ttl=3600, + ) + + configs = model_manager.list_on_demand_configs() + assert len(configs) == 2 + assert all(c.enabled is True for c in configs) + assert all(c.model_name in ["test-list-1", "test-list-2"] for c in configs) + + # Test listing on-demand configs including disabled ones + all_configs = model_manager.list_on_demand_configs(include_disabled=True) + assert len(all_configs) == 3 + model_names = [c.model_name for c in all_configs] + assert model_names.count("test-list-1") == 2 + assert model_names.count("test-list-2") == 1 + + +def test_get_on_demand_config_history(model_manager: ModelManager) -> None: + """Test getting version history for an on-demand config.""" + model_manager.create_on_demand_config( + model_name="test-history", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + model_manager.create_on_demand_config( + model_name="test-history", + model_uri="models:/test-1/v2", + idle_ttl=7200, + ) + + history = model_manager.get_on_demand_config_history("test-history") + assert len(history) == 2 + # Newest first + assert history[0].model_uri == "models:/test-1/v2" + assert history[0].enabled is True + assert history[1].model_uri == "models:/test-1/v1" + assert history[1].enabled is False + + # Test for non-existent model + history = model_manager.get_on_demand_config_history("nonexistent") + assert history == [] + + +def test_update_on_demand_config(model_manager: ModelManager) -> None: + """Test updating an on-demand config.""" + model_manager.create_on_demand_config( + model_name="test-update", + model_uri="models:/test-1/v1", + idle_ttl=3600, + description="Original description", + ) + + updated_config = model_manager.update_on_demand_config( + model_name="test-update", + model_uri="models:/test-1/v2", + description="Updated description", + deploy_spec={"resources": {"limits": {"memory": "8g"}}}, + ) + + assert updated_config is not None + assert updated_config.model_uri == "models:/test-1/v2" + assert updated_config.description == "Updated description" + assert updated_config.idle_ttl == 3600 # Unchanged + assert updated_config.deploy_spec_json == '{"resources": {"limits": {"memory": "8g"}}}' + + # Verify that only a single version exists and is enabled + history = model_manager.get_on_demand_config_history("test-update") + assert len(history) == 1 + assert history[0].id == updated_config.id + assert history[0].enabled is True + + # Test clearing optional fields in an on-demand config + updated_config2 = model_manager.update_on_demand_config( + model_name="test-update", + idle_ttl=7200, + deploy_spec=None, + clear_description=True, + ) + + assert updated_config2 is not None + assert updated_config2.idle_ttl == 7200 + assert updated_config2.description is None + assert updated_config2.deploy_spec_json is not None # Can't implicitly clear deploy_spec + assert updated_config2.deploy_spec_json == '{"resources": {"limits": {"memory": "8g"}}}' + + # Test updating a non-existent config returns None + assert ( + model_manager.update_on_demand_config( + model_name="nonexistent", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + is None + ) + + +def test_disable_on_demand_config(model_manager: ModelManager) -> None: + """Test soft-deleting an on-demand config.""" + model_manager.create_on_demand_config( + model_name="test-disable", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + + assert model_manager.disable_on_demand_config("test-disable") is True + assert model_manager.get_on_demand_config("test-disable") is None + + history = model_manager.get_on_demand_config_history("test-disable") + assert len(history) == 1 + assert history[0].enabled is False + + # Test disabling a non-existent config returns False + assert model_manager.disable_on_demand_config("nonexistent") is False + + +def test_enable_on_demand_config(model_manager: ModelManager) -> None: + """Test enabling an on-demand config.""" + model_config = model_manager.create_on_demand_config( + model_name="test-enable", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + model_manager.disable_on_demand_config("test-enable") + assert model_manager.get_on_demand_config("test-enable") is None + + # Re-enable config + enabled_config = model_manager.enable_on_demand_config(model_config.id) + assert enabled_config is not None + assert enabled_config.enabled is True + + enabled_config = model_manager.get_on_demand_config("test-enable") + assert enabled_config is not None + assert enabled_config.id == model_config.id + + # Test that enabling a config disables any currently enabled one + model_config2 = model_manager.create_on_demand_config( + model_name="test-enable", + model_uri="models:/test-1/v1", + idle_ttl=3600, + ) + + model_config1 = model_manager.get_on_demand_config_by_id(model_config.id) + assert model_config1.enabled is False + assert model_config2.enabled is True + + model_manager.enable_on_demand_config(model_config1.id) + + history = model_manager.get_on_demand_config_history("test-enable") + assert next(c for c in history if c.id == model_config1.id).enabled is True + assert next(c for c in history if c.id == model_config2.id).enabled is False + + # Test enabling a non-existent config returns None + assert model_manager.enable_on_demand_config(99999) is None + + # Test enabling an already enabled config returns it unchanged + enabled_config = model_manager.enable_on_demand_config(model_config1.id) + assert enabled_config is not None + assert enabled_config.id == model_config1.id + assert enabled_config.enabled is True + + +def test_on_demand_config_model_name_validation(model_manager: ModelManager) -> None: + """Test model_name validation (Docker naming constraints).""" + valid_names = [ + "medcat-snomed", + "model_123", + "my.model", + "a", # Single character + "Model-With-CAPS", + "123model", # Starts with number is valid + ] + for name in valid_names: + config = model_manager.create_on_demand_config( + model_name=name, + model_uri="models:/test/v1", + idle_ttl=3600, + ) + assert config.model_name == name + + # Invalid: starts with special character + with pytest.raises(ValueError, match="Invalid model name"): + model_manager.create_on_demand_config( + model_name="-invalid", + model_uri="models:/test/v1", + idle_ttl=3600, + ) + + # Invalid: contains spaces + with pytest.raises(ValueError, match="Invalid model name"): + model_manager.create_on_demand_config( + model_name="invalid name", + model_uri="models:/test/v1", + idle_ttl=3600, + ) + + # Invalid: contains special characters + with pytest.raises(ValueError, match="Invalid model name"): + model_manager.create_on_demand_config( + model_name="invalid@model", + model_uri="models:/test/v1", + idle_ttl=3600, + ) + + # Invalid: too long (>255 characters) + with pytest.raises(ValueError, match="Service name too long"): + model_manager.create_on_demand_config( + model_name="a" * 256, + model_uri="models:/test/v1", + idle_ttl=3600, + ) + + +def test_on_demand_config_model_uri_validation(model_manager: ModelManager) -> None: + """Test model_uri validation.""" + valid_uris = [ + "models:/medcat-snomed/Production", + "s3://bucket/model.zip", + "runs:/abc123/model", + "file:///path/to/model", + "https://example.com/model.zip", + ] + for idx, uri in enumerate(valid_uris): + config = model_manager.create_on_demand_config( + model_name=f"test-validation-uri-{idx}", + model_uri=uri, + idle_ttl=3600, + ) + assert config.model_uri == uri + + # Invalid: empty string + with pytest.raises(ValueError, match="Model URI cannot be empty"): + model_manager.create_on_demand_config( + model_name="test-empty-uri", + model_uri="", + idle_ttl=3600, + ) + + # Invalid: whitespace only + with pytest.raises(ValueError, match="Model URI cannot be empty"): + model_manager.create_on_demand_config( + model_name="test-whitespace-uri", + model_uri=" ", + idle_ttl=3600, + ) + + # Test that model_uri validator strips leading/trailing whitespace.""" + model_config = model_manager.create_on_demand_config( + model_name="test-strip-uri", + model_uri=" models:/test/v1 ", + idle_ttl=3600, + ) + assert model_config.model_uri == "models:/test/v1" + + +def test_on_demand_config_deploy_property(model_manager: ModelManager) -> None: + """Test deploy property.""" + model_config = model_manager.create_on_demand_config( + model_name="no-deploy", + model_uri="models:/test/v1", + idle_ttl=3600, + ) + + assert model_config.deploy is None + + # Test deploy property deserializes deploy_spec_json correctly + model_config = model_manager.create_on_demand_config( + model_name="with-deploy", + model_uri="models:/test/v1", + idle_ttl=3600, + deploy_spec={ + "resources": { + "limits": {"memory": "4g", "cpus": "2.0"}, + "reservations": {"memory": "2g"}, + } + }, + ) + + deploy = model_config.deploy + assert deploy is not None + assert deploy.resources is not None + assert deploy.resources.limits is not None + assert deploy.resources.limits.memory == "4g" + assert deploy.resources.limits.cpus == "2.0" + assert deploy.resources.reservations is not None + assert deploy.resources.reservations.memory == "2g" + assert deploy.resources.reservations.cpus is None # Not specified in test data + + +def test_on_demand_config_model_dump(model_manager: ModelManager) -> None: + """Test model_dump() for API responses.""" + model_config = model_manager.create_on_demand_config( + model_name="test-dump", + model_uri="models:/test/v1", + idle_ttl=3600, + description="Test model", + deploy_spec={"resources": {"limits": {"memory": "4g"}}}, + ) + + data = model_config.model_dump() + assert all( + k in data + for k in [ + "id", + "model_name", + "model_uri", + "idle_ttl", + "description", + "deploy", + "enabled", + "created_at", + "updated_at", + ] + ) + assert data["model_name"] == "test-dump" + assert data["model_uri"] == "models:/test/v1" + assert data["idle_ttl"] == 3600 + assert data["description"] == "Test model" + assert "deploy_spec_json" not in data # excluded from serialization (internal field) + assert data["deploy"] is not None # computed field, included + assert data["deploy"]["resources"]["limits"]["memory"] == "4g" + assert data["enabled"] is True diff --git a/tests/unit/common/test_tasks.py b/tests/unit/common/test_tasks.py index 579a148..d2fbb71 100644 --- a/tests/unit/common/test_tasks.py +++ b/tests/unit/common/test_tasks.py @@ -1,26 +1,12 @@ -from collections.abc import Generator from datetime import UTC, datetime from unittest.mock import MagicMock, patch import pytest -from sqlmodel import Session, SQLModel, create_engine +from sqlmodel import Session from cogstack_model_gateway.common.tasks import Status, Task, TaskManager, UnexpectedStatusError -@pytest.fixture -def db_manager() -> Generator[Session, None, None]: - """Create an in-memory SQLite database for testing.""" - test_engine = create_engine("sqlite:///:memory:") - SQLModel.metadata.create_all(test_engine) - - class TestDatabaseManager: - def get_session(self) -> Session: - return Session(test_engine) - - return TestDatabaseManager() - - @pytest.fixture def task_manager(db_manager: Session) -> TaskManager: """Create a TaskManager instance for testing.""" @@ -126,7 +112,7 @@ def test_update_nonexistent_task(task_manager: TaskManager) -> None: assert task_manager.get_task(non_existent_uuid) is None -@patch("logging.Logger.info") +@patch("cogstack_model_gateway.common.tasks.log.info") def test_logging(mock_log_info: MagicMock, task_manager: TaskManager) -> None: """Test logged outputs.""" task = task_manager.create_task() diff --git a/tests/unit/ripper/test_main.py b/tests/unit/ripper/test_main.py index edb2ded..16f86c9 100644 --- a/tests/unit/ripper/test_main.py +++ b/tests/unit/ripper/test_main.py @@ -3,46 +3,203 @@ import pytest -from cogstack_model_gateway.common.containers import ( - IS_MODEL_LABEL, - MANAGED_BY_LABEL, - MANAGED_BY_LABEL_VALUE, - TTL_LABEL, +from cogstack_model_gateway.common.models import ModelDeploymentType +from cogstack_model_gateway.ripper.main import ( + RemovalReason, + purge_expired_containers, + should_remove_by_fixed_ttl, + should_remove_by_idle_ttl, + stop_and_remove_container, ) -from cogstack_model_gateway.ripper.main import purge_expired_containers, stop_and_remove_container -def test_stop_and_remove_container(): +@patch("cogstack_model_gateway.ripper.main.stop_and_remove_model_container") +def test_stop_and_remove_container(mock_stop_and_remove): + """Test that stop_and_remove_container stops/removes container and deletes from DB.""" mock_container = MagicMock() + mock_container.name = "test-container" + mock_model_manager = MagicMock() + mock_model_manager.delete_model.return_value = True - stop_and_remove_container(mock_container) + stop_and_remove_container( + container=mock_container, + model_name="test-model", + model_manager=mock_model_manager, + deployment_type=ModelDeploymentType.MANUAL, + reason=RemovalReason.FIXED_TTL_EXPIRED, + idle_time=None, + ) - mock_container.stop.assert_called_once() - mock_container.remove.assert_called_once() + mock_stop_and_remove.assert_called_once_with(mock_container) + mock_model_manager.delete_model.assert_called_once_with("test-model") -@patch("cogstack_model_gateway.ripper.main.docker.from_env") +@patch("cogstack_model_gateway.ripper.main.get_models") +@patch("cogstack_model_gateway.ripper.main.stop_and_remove_model_container") @patch("cogstack_model_gateway.ripper.main.time.sleep", side_effect=KeyboardInterrupt) -def test_purge_expired_containers(mock_sleep, mock_docker): +def test_purge_expired_containers_manual_deployment( + mock_sleep, mock_stop_and_remove, mock_get_models +): + """Test that manual deployments are purged based on fixed TTL from labels.""" + mock_config = MagicMock() + mock_config.labels.managed_by_label = "org.cogstack.model-gateway.managed-by" + mock_config.labels.managed_by_value = "cmg" + mock_config.labels.cms_model_label = "org.cogstack.model-serve" + mock_config.labels.ttl_label = "org.cogstack.model-gateway.ttl" + mock_config.labels.deployment_type_label = "org.cogstack.model-gateway.deployment-type" + mock_config.cms.project_name = "cms" + mock_config.ripper.interval = 60 + + mock_model_manager = MagicMock() + mock_model_manager.delete_model.return_value = True + mock_config.model_manager = mock_model_manager + mock_container = MagicMock() + mock_container.name = "test-container" mock_container.labels = { - MANAGED_BY_LABEL: MANAGED_BY_LABEL_VALUE, - IS_MODEL_LABEL: "test_model", - TTL_LABEL: "10", + "org.cogstack.model-gateway.managed-by": "cmg", + "org.cogstack.model-serve": "test_model", + "org.cogstack.model-gateway.ttl": "10", + "org.cogstack.model-gateway.deployment-type": "manual", + "com.docker.compose.service": "test-model", + "com.docker.compose.project": "cms", } mock_container.attrs = {"Created": f"{(datetime.now(UTC) - timedelta(seconds=20)).isoformat()}"} - mock_client = MagicMock() - mock_client.containers.list.return_value = [mock_container] - - mock_docker.return_value = mock_client + mock_get_models.return_value = [ + { + "service_name": "test-model", + "deployment_type": "manual", + "container": mock_container, + } + ] with pytest.raises(KeyboardInterrupt): - purge_expired_containers() + purge_expired_containers(mock_config) - mock_client.containers.list.assert_called_once_with( - filters={"label": [f"{MANAGED_BY_LABEL}={MANAGED_BY_LABEL_VALUE}", IS_MODEL_LABEL]}, - ) - mock_container.stop.assert_called_once() - mock_container.remove.assert_called_once() + mock_get_models.assert_called_once_with(all=True, managed_only=True) + mock_stop_and_remove.assert_called_once_with(mock_container) + mock_model_manager.delete_model.assert_called_once_with("test-model") mock_sleep.assert_called_once() + + +@patch("cogstack_model_gateway.ripper.main.get_models") +@patch("cogstack_model_gateway.ripper.main.stop_and_remove_model_container") +@patch("cogstack_model_gateway.ripper.main.time.sleep", side_effect=KeyboardInterrupt) +def test_purge_expired_containers_static_deployment_not_removed( + mock_sleep, mock_stop_and_remove, mock_get_models +): + """Test that static deployments are never auto-removed.""" + mock_config = MagicMock() + mock_config.labels.managed_by_label = "org.cogstack.model-gateway.managed-by" + mock_config.labels.managed_by_value = "cmg" + mock_config.labels.cms_model_label = "org.cogstack.model-serve" + mock_config.labels.deployment_type_label = "org.cogstack.model-gateway.deployment-type" + mock_config.cms.project_name = "cms" + mock_config.ripper.interval = 60 + + mock_model_manager = MagicMock() + mock_config.model_manager = mock_model_manager + + mock_container = MagicMock() + mock_container.name = "static-model" + mock_container.labels = { + "org.cogstack.model-gateway.deployment-type": "static", + "com.docker.compose.service": "static-model", + } + + mock_get_models.return_value = [ + { + "service_name": "static-model", + "deployment_type": "static", + "container": mock_container, + } + ] + + with pytest.raises(KeyboardInterrupt): + purge_expired_containers(mock_config) + + mock_stop_and_remove.assert_not_called() + mock_model_manager.delete_model.assert_not_called() + + +@patch("cogstack_model_gateway.ripper.main.get_models") +@patch("cogstack_model_gateway.ripper.main.stop_and_remove_model_container") +@patch("cogstack_model_gateway.ripper.main.time.sleep", side_effect=KeyboardInterrupt) +def test_purge_expired_containers_auto_deployment( + mock_sleep, mock_stop_and_remove, mock_get_models +): + """Test that auto deployments are purged based on idle TTL from database.""" + mock_config = MagicMock() + mock_config.labels.managed_by_label = "org.cogstack.model-gateway.managed-by" + mock_config.labels.managed_by_value = "cmg" + mock_config.labels.cms_model_label = "org.cogstack.model-serve" + mock_config.labels.deployment_type_label = "org.cogstack.model-gateway.deployment-type" + mock_config.cms.project_name = "cms" + mock_config.ripper.interval = 60 + + mock_model_manager = MagicMock() + mock_model_manager.is_model_idle.return_value = (True, 600.0) + mock_model_manager.delete_model.return_value = True + mock_config.model_manager = mock_model_manager + + mock_container = MagicMock() + mock_container.name = "auto-model" + mock_container.labels = { + "org.cogstack.model-gateway.deployment-type": "auto", + "com.docker.compose.service": "auto-model", + } + mock_container.attrs = {"Created": f"{datetime.now(UTC).isoformat()}"} + + mock_get_models.return_value = [ + { + "service_name": "auto-model", + "deployment_type": "auto", + "container": mock_container, + } + ] + + with pytest.raises(KeyboardInterrupt): + purge_expired_containers(mock_config) + + mock_model_manager.is_model_idle.assert_called_once_with("auto-model") + mock_stop_and_remove.assert_called_once_with(mock_container) + mock_model_manager.delete_model.assert_called_once_with("auto-model") + + +def test_should_remove_by_fixed_ttl(): + """Test should_remove_by_fixed_ttl returns True when TTL is exceeded and False otherwise.""" + mock_container = MagicMock() + mock_container.labels = {"org.cogstack.model-gateway.ttl": "10"} + mock_container.attrs = {"Created": f"{(datetime.now(UTC) - timedelta(seconds=20)).isoformat()}"} + + assert should_remove_by_fixed_ttl(mock_container, "org.cogstack.model-gateway.ttl") is True + + mock_container.reset_mock() + mock_container.labels = {"org.cogstack.model-gateway.ttl": "-1"} + assert should_remove_by_fixed_ttl(mock_container, "org.cogstack.model-gateway.ttl") is False + + mock_container.reset_mock() + mock_container.labels = {"org.cogstack.model-gateway.ttl": "100"} + assert should_remove_by_fixed_ttl(mock_container, "org.cogstack.model-gateway.ttl") is False + + +def test_should_remove_by_idle_ttl(): + """Test should_remove_by_idle_ttl returns True when model is idle and False otherwise.""" + mock_model_manager = MagicMock() + mock_model_manager.is_model_idle.return_value = (True, 500.0) + + should_remove, idle_time = should_remove_by_idle_ttl("idle-model", mock_model_manager) + + assert should_remove is True + assert idle_time == 500.0 + mock_model_manager.is_model_idle.assert_called_once_with("idle-model") + + mock_model_manager.reset_mock() + mock_model_manager.is_model_idle.return_value = (False, 50.0) + + should_remove, idle_time = should_remove_by_idle_ttl("active-model", mock_model_manager) + + assert should_remove is False + assert idle_time == 50.0 + mock_model_manager.is_model_idle.assert_called_once_with("active-model")