diff --git a/apps/docs/docs/contribute-data/dagster.md b/apps/docs/docs/contribute-data/dagster.md index a52baa36f1..55048eff7c 100644 --- a/apps/docs/docs/contribute-data/dagster.md +++ b/apps/docs/docs/contribute-data/dagster.md @@ -150,3 +150,99 @@ gitcoin_passport_scores = interval_gcs_import_asset( ), ) ``` + +## Creating an asset factory that needs resources + +If your asset factory needs resources, to generate the assets you will need to +use the `EarlyResourcesAssetFactory` class. To do this, you can simply use the +`@early_resources_asset_factory` decorator. This decorator automatically sets up +the underlying `EarlyResourcesAssetFactory` instance based on your decorated +function. The decorated function can also declare the resources it needs by +annotating the function arguments with the resource types. To get the +`global_config` resource that uses a class called `DagsterConfig` in your asset +factory you would just do this: + +```python +import dagster as dg +from oso_dagster.factories import early_resources_asset_factory + +@early_resources_asset_factory() +def my_asset_factory( + global_config: DagsterConfig, +): + @dg.asset + def my_asset(context: dg.AssetExecutionContext): + # Use the global_config resource to create the asset + some_value = global_config.some_setting + + ... + + return AssetFactoryResponse( + assets=assets + ) +``` + +This can be useful in many cases where you need to preprocess before the assets +are loaded. + +## Defining cacheable asset factories + +Many of the assets in the system can are created using an asset factory. +However, we have discovered that often these factories can add significant +overhead to the start time of dagster. To mitigate this, we can cache the +results of these factories (some at build time) and some at runtime. To do this +we define a new way to create assets that can be cached. + +To do this you need to use the `cacheable_asset_factory` decorator. This +decorator expects the decorated function to take at least the `cache_context` +argument and any other resources that it might need (resources are resolved with +the ResourceResolver). + +`CacheableDagsterContext` allows us to _mostly_ cacheable `AssetFactoryResponse` objects. +We say _mostly_, because due to the complexity of the dagster object model we +don't actually cache the dagster objects but instead cache objects that allow +for fast hydration of dagster objects. In order to accomplish this, we +separate the generation cacheable objects (must be inherit from +`pydantic.BaseModel`) from the hydration of those cached objects into an +`AssetFactoryResponse`. You can have any number of cacheable object generation +functions and only a single hydration function. + +This would generally look like the following: + +```python +import dagster as dg + +class SomeCacheableResponse(BaseModel): + responses: List[str] + +@cacheable_asset_factory +def my_asset_factory(cache_context: CacheableDagsterContext) -> CacheableAssetFactoryResponse: + @cache_context.register_generator() + def cacheable_response(some_resource: SomeResource) -> SomeCacheableResponse: + responses = [] + for response in some_resource.some_slow_iterator(): + responses.append(response) + return SomeCacheableResponse(responses=responses) + + + @cache_context.hydrator() + def hydrate_cacheable_response( + cacheable_response: SomeCacheableResponse, + ) -> AssetFactoryResponse: + # Convert the cacheable response to a set of dagster objects + + assets: list[dg.AssetsDefinition] = [] + + for response in cacheable_response.responses: + # Create dagster assets, sensors, jobs, etc. based on the response + @dg.asset(name=response) + def my_asset(context: dg.AssetExecutionContext): + # Do something that creates an asset + pass + assets.append(my_asset) + + return AssetFactoryResponse( + assets=assets + ) + +``` diff --git a/docker/images/oso/Dockerfile b/docker/images/oso/Dockerfile index 4a10d4ad4f..e39caa24ec 100644 --- a/docker/images/oso/Dockerfile +++ b/docker/images/oso/Dockerfile @@ -13,4 +13,11 @@ ENV UV_PROJECT_ENVIRONMENT=/usr/local/ RUN uv sync --all-packages --locked -ENTRYPOINT [] \ No newline at end of file +# Build the dagster for production +ENV DAGSTER_ASSET_CACHE_DIR=/dagster_assets_cache +ENV DAGSTER_ASSET_CACHE_ENABLED=1 +ENV DAGSTER_SQLMESH_GATEWAY=trino +ENV GOOGLE_PROJECT_ID=opensource-observer +RUN uv run oso_dagster build + +ENTRYPOINT [] diff --git a/lib/oso-core/oso_core/cache/__init__.py b/lib/oso-core/oso_core/cache/__init__.py new file mode 100644 index 0000000000..8283097f1f --- /dev/null +++ b/lib/oso-core/oso_core/cache/__init__.py @@ -0,0 +1,3 @@ +# ruff: noqa: F403 +from .file import * +from .types import * diff --git a/lib/oso-core/oso_core/cache/file.py b/lib/oso-core/oso_core/cache/file.py new file mode 100644 index 0000000000..87e40beb93 --- /dev/null +++ b/lib/oso-core/oso_core/cache/file.py @@ -0,0 +1,100 @@ +import hashlib +import logging +import typing as t +from pathlib import Path + +import arrow +from pydantic import BaseModel + +from .types import ( + CacheBackend, + CacheInvalidError, + CacheKey, + CacheMetadata, + CacheMetadataOptions, +) + +T = t.TypeVar("T", bound=BaseModel) +K = t.TypeVar("K", bound=BaseModel) + +logger = logging.getLogger(__name__) + + +class FileCacheBackend(CacheBackend): + """A generic cache for pydantic models""" + + def __init__(self, cache_dir: str): + self.cache_dir = cache_dir + + def store_object( + self, key: CacheKey, value: BaseModel, options: CacheMetadataOptions + ) -> None: + """Store a single object in the cache + + The file cache stores everything as a jsonl file. The first object in + the file is the metadata, which contains the creation time and + expiration time of the cache entry. + """ + # Ensure the cache directory exists + self._ensure_cache_dir() + # Create a file path based on the key + file_path = self._cache_key_path(key) + + metadata = CacheMetadata( + created_at=arrow.now().isoformat(), + valid_until=( + arrow.now().shift(seconds=options.ttl_seconds).isoformat() + if options.ttl_seconds > 0 + else None + ), + ) + + # Write the value to the file + with open(file_path, "w") as f: + f.write(metadata.model_dump_json() + "\n") + f.write(value.model_dump_json()) + + def retrieve_object( + self, + key: CacheKey, + model_type: type[T], + options: CacheMetadataOptions, + ) -> T: + """Retrieve a single object from the cache""" + self._ensure_cache_dir() + file_path = self._cache_key_path(key) + + if not file_path.exists(): + logger.debug( + f"Cache file not found: {file_path}", extra={"file_path": file_path} + ) + raise CacheInvalidError(f"Cache file not found: {file_path}") + + with open(file_path, "r") as f: + # Read the metadata and check if it is valid + metadata = CacheMetadata.model_validate_json(f.readline().strip()) + + if not metadata.is_valid(options): + logger.debug( + f"Cache entry is invalid: {metadata}", extra={"metadata": metadata} + ) + raise CacheInvalidError(f"Cache entry is invalid: {metadata}") + + return model_type.model_validate_json(f.read()) + + def _cache_dir_path(self): + """Get the cache directory path""" + return Path(self.cache_dir) + + def _ensure_cache_dir(self): + """Ensure the cache directory exists""" + self._cache_dir_path().mkdir(parents=True, exist_ok=True) + + def _cache_key(self, key: CacheKey) -> str: + """Generate a cache key from the pydantic model""" + key_str = hashlib.sha256(str(key).encode()).hexdigest() + return f"{key_str}.json" + + def _cache_key_path(self, key: CacheKey) -> Path: + """Get the cache file path for a given key""" + return self._cache_dir_path() / self._cache_key(key) diff --git a/lib/oso-core/oso_core/cache/test_file.py b/lib/oso-core/oso_core/cache/test_file.py new file mode 100644 index 0000000000..b4af2bc1c8 --- /dev/null +++ b/lib/oso-core/oso_core/cache/test_file.py @@ -0,0 +1,51 @@ +import tempfile + +import pytest +from pydantic import BaseModel + +from .file import FileCacheBackend +from .types import CacheMetadataOptions + + +class FakeModel(BaseModel): + """A simple Pydantic model for testing purposes.""" + + name: str + value: int + + +class FakeNestedModel(BaseModel): + """A nested Pydantic model for testing purposes.""" + + name: str + nested: FakeModel + + +@pytest.fixture +def temp_dir(): + """Create a temporary directory for file system tests.""" + with tempfile.TemporaryDirectory() as tmpdirname: + yield tmpdirname + + +def test_write_file_to_temp_dir(temp_dir): + """Test writing a file to the temporary directory.""" + cache_backend = FileCacheBackend(cache_dir=temp_dir) + + test0 = FakeModel(name="test", value=42) + + options = CacheMetadataOptions(ttl_seconds=60) + + cache_backend.store_object(key="test_key0", value=test0, options=options) + stored_test0 = cache_backend.retrieve_object( + key="test_key0", model_type=FakeModel, options=options + ) + + assert test0 == stored_test0, "Stored and retrieved objects should match" + + test1 = FakeNestedModel(name="nested_test", nested=test0) + cache_backend.store_object(key="test_key1", value=test1, options=options) + stored_test1 = cache_backend.retrieve_object( + key="test_key1", model_type=FakeNestedModel, options=options + ) + assert test1 == stored_test1, "Nested stored and retrieved objects should match" diff --git a/lib/oso-core/oso_core/cache/test_types.py b/lib/oso-core/oso_core/cache/test_types.py new file mode 100644 index 0000000000..c9ad5b3bd5 --- /dev/null +++ b/lib/oso-core/oso_core/cache/test_types.py @@ -0,0 +1,15 @@ +import arrow + +from .types import CacheMetadata + + +def test_metadata_is_valid(): + """Test that metadata is valid when created and not expired.""" + now = arrow.now() + + created_at = now.shift(seconds=-60) + valid_until = now.shift(seconds=60) + metadata = CacheMetadata( + created_at=created_at.isoformat(), valid_until=valid_until.isoformat() + ) + assert metadata.is_valid() is True diff --git a/lib/oso-core/oso_core/cache/types.py b/lib/oso-core/oso_core/cache/types.py new file mode 100644 index 0000000000..3173e107cb --- /dev/null +++ b/lib/oso-core/oso_core/cache/types.py @@ -0,0 +1,196 @@ +"""Caching utilities for pydantic models + +Types used to describe a set of caching utilities that can be used with any +pydantic model. This allows us to cache many python objects. +""" + +import abc +import typing as t + +import arrow +import orjson +from pydantic import BaseModel + +T = t.TypeVar("T", bound=BaseModel) +K = t.TypeVar("K", bound=BaseModel) + + +class CacheMetadataOptions(BaseModel): + ttl_seconds: int = ( + 900 # Time to live for the cache in seconds. 0 means no expiration. + ) + override_ttl: bool = False + + @classmethod + def with_no_expiration(cls) -> t.Self: + return cls(ttl_seconds=0) + + @classmethod + def with_no_expiration_if(cls, condition: bool) -> t.Self: + if condition: + return cls.with_no_expiration() + return cls() + + +class CacheOptions(BaseModel): + """Options for the cache backend + + Attributes: + ttl_seconds: Default time to live for the cache in seconds. 0 means no expiration. + """ + + default_ttl_seconds: int = ( + 900 # Time to live for the cache in seconds. 0 means no expiration. + ) + enabled: bool = True # Whether the cache is enabled + + +class CompositeCacheKey(t.Protocol): + def __str__(self) -> str: + """Return a string representation of the cache key.""" + ... + + +class MultiStringCacheKey: + """A cache key that is a combination of multiple strings.""" + + def __init__(self, *args: str): + self._key = "_".join(args) + + def __str__(self) -> str: + return self._key + + def __repr__(self) -> str: + return f"MultiStringCacheKey({self._key})" + + +class StructuredCacheKey(BaseModel): + """A cache key that is a structured object. + + This allows us to use any pydantic model as a cache key. + """ + + def __str__(self) -> str: + return orjson.dumps(self.model_dump(), option=orjson.OPT_SORT_KEYS).decode( + "utf-8" + ) + + +CacheKey = t.Union[str, CompositeCacheKey] + + +class NotFoundError(Exception): + pass + + +class CacheInvalidError(Exception): + pass + + +class CacheMetadata(BaseModel): + """Metadata for the cache entry + + This metadata is used to store information about the cache entry such as + when it was created, when it expires, etc. + + Attributes: + created_at: The time when the cache entry was created in ISO format. + valid_until: The time when the cache entry expires in ISO format. If + None, the entry only expires if passed in options ttl is + exceeded. If it is set, it is always checked against the + current time. + """ + + created_at: str # ISO format timestamp + valid_until: str | None = None # ISO format timestamp + + def is_valid(self, options: CacheMetadataOptions | None = None) -> bool: + """Check if the cache entry is valid based on the ttl""" + created_at = arrow.get(self.created_at) + now = arrow.now() + age = created_at - now + + if self.valid_until: + valid_until = arrow.get(self.valid_until) + if valid_until < now: + return False + + if options: + if options.override_ttl: + if options.ttl_seconds == 0: + return True + + if age.total_seconds() > options.ttl_seconds: + return False + + return True + + +class CacheBackend(abc.ABC): + """A generic cache backend interface + + This is a generic interface for a cache backend that can be used to store + and retrieve pydantic models. The actual implementation of the cache backend + should inherit from this class and implement the methods. + """ + + @abc.abstractmethod + def store_object( + self, key: CacheKey, value: BaseModel, options: CacheMetadataOptions + ) -> None: + """Store a single object in the cache""" + ... + + @abc.abstractmethod + def retrieve_object( + self, + key: CacheKey, + model_type: type[T], + options: CacheMetadataOptions, + ) -> T: + """Retrieve a single object from the cache""" + ... + + +class Cache: + @classmethod + def from_backend(cls, backend: CacheBackend, options: CacheOptions) -> "Cache": + """Create a Cache instance from a CacheBackend""" + return cls(backend=backend, options=options) + + def __init__(self, backend: CacheBackend, options: CacheOptions): + self.backend = backend + self.options = options + + def store_object( + self, + key: CacheKey, + value: BaseModel, + options: CacheMetadataOptions | None = None, + ) -> None: + """Store a single object in the cache""" + if not self.options.enabled: + return + self.backend.store_object( + key, + value, + options + or CacheMetadataOptions(ttl_seconds=self.options.default_ttl_seconds), + ) + + def retrieve_object( + self, + key: CacheKey, + model_type: type[T], + options: CacheMetadataOptions | None = None, + ) -> T: + """Retrieve a single object from the cache""" + if not self.options.enabled: + raise CacheInvalidError("Cache is not enabled") + + return self.backend.retrieve_object( + key, + model_type, + options + or CacheMetadataOptions(ttl_seconds=self.options.default_ttl_seconds), + ) diff --git a/lib/oso-core/oso_core/logging/defaults.py b/lib/oso-core/oso_core/logging/defaults.py index 2ec30949f9..2cdada708b 100644 --- a/lib/oso-core/oso_core/logging/defaults.py +++ b/lib/oso-core/oso_core/logging/defaults.py @@ -1,4 +1,5 @@ import logging +import os import structlog @@ -29,7 +30,11 @@ def ensure_event_type( return event_dict -def configure_structured_logging() -> None: +def configure_structured_logging( + *, + enable_json_logs: bool = os.environ.get("OSO_ENABLE_JSON_LOGS", "0") + in ["true", "1"], +) -> None: """Configure structured logging for the application. This was taken almost directly from the structlog docs. See: @@ -53,6 +58,7 @@ def configure_structured_logging() -> None: structlog.stdlib.add_log_level, timestamper, structlog.processors.StackInfoRenderer(), + structlog.processors.ExceptionRenderer(), ensure_event_type, ] @@ -73,7 +79,9 @@ def configure_structured_logging() -> None: processors=[ # Remove _record & _from_structlog. structlog.stdlib.ProcessorFormatter.remove_processors_meta, - structlog.processors.JSONRenderer(), + structlog.processors.JSONRenderer() + if enable_json_logs + else structlog.dev.ConsoleRenderer(), ], ) diff --git a/lib/oso-core/pyproject.toml b/lib/oso-core/pyproject.toml index 2fba16f1a2..92d2306623 100644 --- a/lib/oso-core/pyproject.toml +++ b/lib/oso-core/pyproject.toml @@ -6,6 +6,8 @@ readme = "README.md" requires-python = ">=3.10" authors = [{ name = "OSO Team", email = "opensource-observer@googlegroups.com" }] dependencies = [ + "arrow<2.0.0", + "orjson>=3.10.18", "sqlmesh[trino]<1.0.0,>=0.141.1", "structlog>=25.4.0", ] diff --git a/ops/helm-charts/oso-dagster/Chart.yaml b/ops/helm-charts/oso-dagster/Chart.yaml index 84422be1e1..0c78381ab7 100644 --- a/ops/helm-charts/oso-dagster/Chart.yaml +++ b/ops/helm-charts/oso-dagster/Chart.yaml @@ -3,7 +3,7 @@ name: oso-dagster description: Extension of the dagster template type: application -version: 0.20.0 +version: 0.21.0 appVersion: "1.0.0" dependencies: - name: dagster diff --git a/ops/helm-charts/oso-dagster/templates/config-map.yaml b/ops/helm-charts/oso-dagster/templates/config-map.yaml index 88108f0676..e9fce7a802 100644 --- a/ops/helm-charts/oso-dagster/templates/config-map.yaml +++ b/ops/helm-charts/oso-dagster/templates/config-map.yaml @@ -48,3 +48,4 @@ data: SQLMESH_MCS_CLUSTER_MAX_SIZE: "{{ .Values.sqlmesh.mcs.cluster.maxSize }}" SQLMESH_MCS_DEFAULT_SLOTS: "{{ .Values.sqlmesh.mcs.defaultSlots }}" SQLMESH_MCS_SKIP_ROLLING: "{{- if .Values.sqlmesh.mcs.skipRolling -}}1{{- else -}}0{{- end -}}" + DAGSTER_ASSET_CACHE_DIR: "{{ .Values.osoDagster.assetCacheDir }}" 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fcd90729b5..afc7983add 100644 --- a/warehouse/oso_dagster/assets/sqlmesh.py +++ b/warehouse/oso_dagster/assets/sqlmesh.py @@ -1,19 +1,33 @@ import copy +import typing as t import dagster as dg -from dagster import AssetExecutionContext, AssetSelection, RunConfig, define_asset_job +from dagster import ( + AssetExecutionContext, + AssetSelection, + ResourceParam, + RunConfig, + define_asset_job, +) from dagster_sqlmesh import ( + IntermediateAssetDep, + IntermediateAssetOut, PlanOptions, SQLMeshContextConfig, SQLMeshDagsterTranslator, + SQLMeshMultiAssetOptions, SQLMeshResource, - sqlmesh_assets, + sqlmesh_asset_from_multi_asset_options, + sqlmesh_to_multi_asset_options, ) -from oso_dagster.factories.common import AssetFactoryResponse +from oso_core.cache.types import CacheMetadataOptions +from oso_dagster.config import DagsterConfig +from oso_dagster.factories.common import CacheableDagsterContext from oso_dagster.resources.trino import TrinoResource from oso_dagster.utils.asynctools import multiple_async_contexts +from pydantic import BaseModel -from ..factories import early_resources_asset_factory +from ..factories import AssetFactoryResponse, cacheable_asset_factory class SQLMeshRunConfig(dg.Config): @@ -57,133 +71,221 @@ class SQLMeshRunConfig(dg.Config): } -@early_resources_asset_factory() +class CacheableSQLMeshMultiAssetOptions(BaseModel): + """A cacheable version of SQLMeshMultiAssetOptions that can be used to create + a dagster multi_asset definition. This is primarily used to enable caching + of SQLMesh assets in Dagster.""" + + outs: t.Mapping[str, IntermediateAssetOut] + deps: list[IntermediateAssetDep] + internal_asset_deps: t.Mapping[str, set[str]] + + @classmethod + def from_sqlmesh_multi_asset_options( + cls, sqlmesh_multi_asset_options: SQLMeshMultiAssetOptions + ) -> "CacheableSQLMeshMultiAssetOptions": + """Convert a SQLMeshMultiAssetOptions to a CacheableSQLMeshMultiAssetOptions.""" + + outs: t.Dict[str, IntermediateAssetOut] = {} + for key, out in sqlmesh_multi_asset_options.outs.items(): + assert isinstance(out, IntermediateAssetOut) + outs[key] = out + + deps: t.List[IntermediateAssetDep] = [] + for dep in sqlmesh_multi_asset_options.deps: + assert isinstance(dep, IntermediateAssetDep) + deps.append(dep) + + return cls( + outs=outs, + deps=deps, + internal_asset_deps=copy.deepcopy( + sqlmesh_multi_asset_options.internal_asset_deps + ), + ) + + def to_sqlmesh_multi_asset_options(self) -> SQLMeshMultiAssetOptions: + return SQLMeshMultiAssetOptions( + outs=self.outs, + deps=list(self.deps)[:], + internal_asset_deps=copy.deepcopy(self.internal_asset_deps), + ) + + +@cacheable_asset_factory(tags=dict(run_at_build="true")) def sqlmesh_factory( - sqlmesh_infra_config: dict, - sqlmesh_config: SQLMeshContextConfig, - sqlmesh_translator: SQLMeshDagsterTranslator, + global_config: DagsterConfig, cache_context: CacheableDagsterContext ): - dev_environment = sqlmesh_infra_config["dev_environment"] - environment = sqlmesh_infra_config["environment"] - - @sqlmesh_assets( - config=sqlmesh_config, - environment=environment, - dagster_sqlmesh_translator=sqlmesh_translator, - enabled_subsetting=False, - op_tags=op_tags, + # If we're in a deployed environment at build time, we can + # cache the sqlmesh build indefinitely + @cache_context.register_generator( + cacheable_type=CacheableSQLMeshMultiAssetOptions, + extra_cache_key_metadata=dict( + sqlmesh_gateway=global_config.sqlmesh_gateway, + ), + cache_metadata_options=CacheMetadataOptions.with_no_expiration_if( + global_config.run_mode == "build" and global_config.in_deployed_container + ), ) - async def sqlmesh_project( - context: AssetExecutionContext, - sqlmesh: SQLMeshResource, - trino: TrinoResource, - config: SQLMeshRunConfig, + def cacheable_sqlmesh_multi_asset_options( + *, + sqlmesh_infra_config: dict, + sqlmesh_context_config: SQLMeshContextConfig, + sqlmesh_translator: SQLMeshDagsterTranslator, + ) -> CacheableSQLMeshMultiAssetOptions: + environment = sqlmesh_infra_config["environment"] + + return CacheableSQLMeshMultiAssetOptions.from_sqlmesh_multi_asset_options( + sqlmesh_to_multi_asset_options( + config=sqlmesh_context_config, + environment=environment, + dagster_sqlmesh_translator=sqlmesh_translator, + ) + ) + + @cache_context.register_hydrator() + def sqlmesh_assets_hydrator( + cacheable_sqlmesh_multi_asset_options: CacheableSQLMeshMultiAssetOptions, + sqlmesh_infra_config: dict, ): - restate_models = config.restate_models[:] if config.restate_models else [] + dev_environment = sqlmesh_infra_config["dev_environment"] + environment = sqlmesh_infra_config["environment"] - async with multiple_async_contexts( - trino=trino.ensure_available(log_override=context.log), + @sqlmesh_asset_from_multi_asset_options( + sqlmesh_multi_asset_options=cacheable_sqlmesh_multi_asset_options.to_sqlmesh_multi_asset_options(), + enabled_subsetting=False, + op_tags=op_tags, + ) + async def sqlmesh_project( + context: AssetExecutionContext, + global_config: ResourceParam[DagsterConfig], + sqlmesh: SQLMeshResource, + trino: TrinoResource, + config: SQLMeshRunConfig, ): - # If restate_by_entity_category is True, dynamically identify models based on entity categories - if config.restate_by_entity_category: - # Ensure we have entity categories to filter by - if not config.restate_entity_categories: - context.log.info( - "restate_by_entity_category is True but no entity categories specified. Using both 'project' and 'collection'." - ) - entity_categories = ["project", "collection"] - else: - entity_categories = config.restate_entity_categories - context.log.info( - f"Filtering models by entity categories: {entity_categories}" + restate_models = config.restate_models[:] if config.restate_models else [] + + # We use this helper function so we can run sqlmesh both locally and in + # a k8s environment + def run_sqlmesh( + context: AssetExecutionContext, + sqlmesh: SQLMeshResource, + config: SQLMeshRunConfig, + ): + # If restate_by_entity_category is True, dynamically identify models based on entity categories + if config.restate_by_entity_category: + # Ensure we have entity categories to filter by + if not config.restate_entity_categories: + context.log.info( + "restate_by_entity_category is True but no entity categories specified. Using both 'project' and 'collection'." + ) + entity_categories = ["project", "collection"] + else: + entity_categories = config.restate_entity_categories + context.log.info( + f"Filtering models by entity categories: {entity_categories}" + ) + + for category in entity_categories: + restate_models.append(f"tag:entity_category={category}") + + plan_options: PlanOptions = {"skip_tests": config.skip_tests} + if config.allow_destructive_models: + plan_options["allow_destructive_models"] = ( + config.allow_destructive_models ) - for category in entity_categories: - restate_models.append(f"tag:entity_category={category}") - - plan_options: PlanOptions = {"skip_tests": config.skip_tests} - if config.allow_destructive_models: - plan_options["allow_destructive_models"] = ( - config.allow_destructive_models - ) - - # If we specify a dev_environment, we will first plan it for safety - if dev_environment: - context.log.info("Planning dev environment") - all( - sqlmesh.run( - context, - environment=dev_environment, - plan_options=copy.deepcopy(plan_options), - start=config.start, - end=config.end, - restate_models=restate_models, - skip_run=True, + # If we specify a dev_environment, we will first plan it for safety + if dev_environment: + context.log.info("Planning dev environment") + all( + sqlmesh.run( + context, + environment=dev_environment, + plan_options=copy.deepcopy(plan_options), + start=config.start, + end=config.end, + restate_models=restate_models, + skip_run=True, + ) ) - ) - context.log.info("Starting to process prod environment") - for result in sqlmesh.run( - context, - environment=environment, - plan_options=copy.deepcopy(plan_options), - start=config.start, - end=config.end, - restate_models=restate_models, - ): - yield result + context.log.info("Starting to process prod environment") + for result in sqlmesh.run( + context, + environment=environment, + plan_options=copy.deepcopy(plan_options), + start=config.start, + end=config.end, + restate_models=restate_models, + ): + yield result - all_assets_selection = AssetSelection.assets(sqlmesh_project) + # Trino can either be `local-trino` or `trino` + if "trino" in global_config.sqlmesh_gateway: + async with multiple_async_contexts( + trino=trino.ensure_available(log_override=context.log), + ): + for result in run_sqlmesh(context, sqlmesh, config): + yield result + else: + # If we are not running trino we are using duckdb + for result in run_sqlmesh(context, sqlmesh, config): + yield result - return AssetFactoryResponse( - assets=[sqlmesh_project], - jobs=[ - define_asset_job( - name="sqlmesh_all_assets", - selection=all_assets_selection, - description="All assets in the sqlmesh project", - ), - # Job to restate all project and collection related assets - define_asset_job( - name="sqlmesh_restate_project_collection_assets", - selection=all_assets_selection, - description="Restate all project and collection related assets", - config=RunConfig( - ops={ - "sqlmesh_project": SQLMeshRunConfig( - restate_by_entity_category=True, - restate_entity_categories=["project", "collection"], - ), - } + all_assets_selection = AssetSelection.assets(sqlmesh_project) + + return AssetFactoryResponse( + assets=[sqlmesh_project], + jobs=[ + define_asset_job( + name="sqlmesh_all_assets", + selection=all_assets_selection, + description="All assets in the sqlmesh project", ), - ), - # Job to restate only project related assets - define_asset_job( - name="sqlmesh_restate_project_assets", - selection=all_assets_selection, - description="Restate only project related assets", - config=RunConfig( - ops={ - "sqlmesh_project": SQLMeshRunConfig( - restate_by_entity_category=True, - restate_entity_categories=["project"], - ), - } + # Job to restate all project and collection related assets + define_asset_job( + name="sqlmesh_restate_project_collection_assets", + selection=all_assets_selection, + description="Restate all project and collection related assets", + config=RunConfig( + ops={ + "sqlmesh_project": SQLMeshRunConfig( + restate_by_entity_category=True, + restate_entity_categories=["project", "collection"], + ), + } + ), ), - ), - # Job to restate only collection related assets - define_asset_job( - name="sqlmesh_restate_collection_assets", - selection=all_assets_selection, - description="Restate only collection related assets", - config=RunConfig( - ops={ - "sqlmesh_project": SQLMeshRunConfig( - restate_by_entity_category=True, - restate_entity_categories=["collection"], - ) - } + # Job to restate only project related assets + define_asset_job( + name="sqlmesh_restate_project_assets", + selection=all_assets_selection, + description="Restate only project related assets", + config=RunConfig( + ops={ + "sqlmesh_project": SQLMeshRunConfig( + restate_by_entity_category=True, + restate_entity_categories=["project"], + ), + } + ), ), - ), - ], - ) + # Job to restate only collection related assets + define_asset_job( + name="sqlmesh_restate_collection_assets", + selection=all_assets_selection, + description="Restate only collection related assets", + config=RunConfig( + ops={ + "sqlmesh_project": SQLMeshRunConfig( + restate_by_entity_category=True, + restate_entity_categories=["collection"], + ) + } + ), + ), + ], + ) + + return cache_context diff --git a/warehouse/oso_dagster/assets/sqlmesh_export.py b/warehouse/oso_dagster/assets/sqlmesh_export.py index 4e6c61ce25..d5592d90ba 100644 --- a/warehouse/oso_dagster/assets/sqlmesh_export.py +++ b/warehouse/oso_dagster/assets/sqlmesh_export.py @@ -1,53 +1,99 @@ -import logging import typing as t -from dagster import AssetKey, ResourceParam +import structlog +from dagster import AssetKey, AssetsDefinition, ResourceParam from dagster_sqlmesh import DagsterSQLMeshController, SQLMeshContextConfig from dagster_sqlmesh.controller.base import DEFAULT_CONTEXT_FACTORY +from oso_core.cache.types import CacheMetadataOptions +from oso_dagster.config import DagsterConfig +from oso_dagster.factories.common import CacheableDagsterContext +from oso_dagster.resources.sqlmesh import SQLMeshExportedAssetDefinition +from pydantic import BaseModel from sqlmesh.core.model import Model -from ..factories import AssetFactoryResponse, early_resources_asset_factory +from ..factories import AssetFactoryResponse, cacheable_asset_factory from ..resources import PrefixedSQLMeshTranslator, SQLMeshExporter -logger = logging.getLogger(__name__) +logger = structlog.get_logger(__name__) -@early_resources_asset_factory() +class SQLMeshExportedAssetsCollection(BaseModel): + """A collection of SQLMesh exported assets.""" + + assets_map: dict[str, SQLMeshExportedAssetDefinition] + + +@cacheable_asset_factory(tags=dict(run_at_build="true")) def sqlmesh_export_factory( - sqlmesh_infra_config: dict, - sqlmesh_config: SQLMeshContextConfig, - sqlmesh_translator: PrefixedSQLMeshTranslator, - sqlmesh_exporters: ResourceParam[t.List[SQLMeshExporter]], + global_config: DagsterConfig, + cache_context: CacheableDagsterContext, ): - environment = sqlmesh_infra_config["environment"] - - controller = DagsterSQLMeshController.setup_with_config( - config=sqlmesh_config, - context_factory=DEFAULT_CONTEXT_FACTORY, + @cache_context.register_generator( + cacheable_type=SQLMeshExportedAssetsCollection, + extra_cache_key_metadata=dict( + sqlmesh_gateway=global_config.sqlmesh_gateway, + ), + cache_metadata_options=CacheMetadataOptions.with_no_expiration_if( + global_config.run_mode == "build" and global_config.in_deployed_container + ), ) - assets = [] - - with controller.instance(environment) as mesh: - models = mesh.models() - models_to_export: t.List[t.Tuple[Model, AssetKey]] = [] - for name, model in models.items(): - if "export" not in model.tags: - continue - models_to_export.append( - ( - model, - sqlmesh_translator.get_asset_key(mesh.context, model.fqn), + def cacheable_exported_assets_defs( + sqlmesh_infra_config: dict, + sqlmesh_context_config: SQLMeshContextConfig, + sqlmesh_translator: PrefixedSQLMeshTranslator, + sqlmesh_exporters: ResourceParam[t.List[SQLMeshExporter]], + ) -> SQLMeshExportedAssetsCollection: + environment = sqlmesh_infra_config["environment"] + + controller = DagsterSQLMeshController.setup_with_config( + config=sqlmesh_context_config, + context_factory=DEFAULT_CONTEXT_FACTORY, + ) + assets_map: dict[str, SQLMeshExportedAssetDefinition] = {} + + with controller.instance(environment) as mesh: + models = mesh.models() + models_to_export: t.List[t.Tuple[Model, AssetKey]] = [] + for name, model in models.items(): + if "export" not in model.tags: + continue + models_to_export.append( + ( + model, + sqlmesh_translator.get_asset_key(mesh.context, model.fqn), + ) ) - ) - # Create a export assets for this + # Create a export assets for this + for exporter in sqlmesh_exporters: + asset_def = exporter.create_export_asset( + mesh, + sqlmesh_translator, + to_export=models_to_export, + ) + assets_map[exporter.name()] = asset_def + + return SQLMeshExportedAssetsCollection(assets_map=assets_map) + + @cache_context.register_hydrator() + def hydrate_exported_assets_defs( + cacheable_exported_assets_defs: SQLMeshExportedAssetsCollection, + sqlmesh_exporters: ResourceParam[t.List[SQLMeshExporter]], + ) -> AssetFactoryResponse: + """hydrate the exported assets definitions.""" + hydrated_assets: list[AssetsDefinition] = [] for exporter in sqlmesh_exporters: - asset_def = exporter.create_export_asset( - mesh, - sqlmesh_translator, - to_export=models_to_export, - ) - assets.append(asset_def) - logger.debug(f"exporting for {exporter.__class__.__name__}") - - return AssetFactoryResponse(assets=assets) + if exporter.name() in cacheable_exported_assets_defs.assets_map: + asset_def = cacheable_exported_assets_defs.assets_map[exporter.name()] + hydrated_assets.append(exporter.asset_from_definition(asset_def)) + else: + logger.warning( + "Exporter not found in cached assets", + exporter_name=exporter.name(), + ) + + return AssetFactoryResponse( + assets=hydrated_assets, + ) + + return cache_context diff --git a/warehouse/oso_dagster/cli.py b/warehouse/oso_dagster/cli.py index c3e25c3b2e..6d6699d080 100644 --- a/warehouse/oso_dagster/cli.py +++ b/warehouse/oso_dagster/cli.py @@ -1,6 +1,38 @@ import click +from dotenv import load_dotenv +from oso_dagster.config import DagsterConfig +from oso_dagster.factories.common import ResourcesContext, resource_factory +from oso_dagster.factories.loader import load_all_assets_from_package + +load_dotenv() @click.group() -def oso_dagster(): +def cli(): pass + + +@cli.command("build") +def build(): + """Builds any early resources asset factories that have the `run_at_build` + tag set to true.""" + + from . import assets + from .definitions.common import run_with_default_resources + + @resource_factory("global_config") + def injected_dagster_config() -> DagsterConfig: + return DagsterConfig( + run_mode="build", + ) + + def run_build(resources: ResourcesContext): + load_all_assets_from_package( + assets, resources, matching_tags={"run_at_build": "true"} + ) + + run_with_default_resources(run_build, override_resources=[injected_dagster_config]) + + +if __name__ == "__main__": + cli() diff --git a/warehouse/oso_dagster/config.py b/warehouse/oso_dagster/config.py index 11f7f62f62..6950ad4079 100644 --- a/warehouse/oso_dagster/config.py +++ b/warehouse/oso_dagster/config.py @@ -17,11 +17,26 @@ def get_project_id() -> str: return project_id +def get_repo_sha() -> str: + """If the repo_sha file exists, return its contents.""" + if os.path.exists("/oso.repo_sha.txt"): + with open("/oso.repo_sha.txt", "r") as f: + return f.read().strip() + return "unknown" + + class DagsterConfig(BaseSettings): """OSO's dagster configuration""" model_config = SettingsConfigDict(env_prefix="dagster_") + # We have a `run_mode` so that some processes can be run in different modes + # Particularly this is useful for things like our preemptive caching at + # build time for dagster assets + run_mode: t.Literal["serve", "build"] = "serve" + + repo_sha: str = Field(default_factory=get_repo_sha) + project_id: str = Field(alias="GOOGLE_PROJECT_ID", default_factory=get_project_id) repo_dir: str = Field( @@ -60,6 +75,9 @@ class DagsterConfig(BaseSettings): sqlmesh_catalog: str = "iceberg" sqlmesh_schema: str = "oso" sqlmesh_bq_export_dataset_id: str = "oso" + asset_cache_enabled: bool = False + asset_cache_dir: str = "" + asset_cache_default_ttl_seconds: int = 60 * 15 enable_k8s_executor: bool = False @@ -113,3 +131,8 @@ def handle_generated_config(self): def initialize(self): Path(self.dagster_home).mkdir(exist_ok=True) + + @property + def in_deployed_container(self) -> bool: + """If the repo_sha is not unknown, we are in a deployed container.""" + return self.repo_sha != "unknown" diff --git a/warehouse/oso_dagster/definitions/common.py b/warehouse/oso_dagster/definitions/common.py index eaa1aa8c28..6d45272066 100644 --- a/warehouse/oso_dagster/definitions/common.py +++ b/warehouse/oso_dagster/definitions/common.py @@ -1,7 +1,7 @@ import typing as t from dagster import Definitions, json_console_logger -from oso_dagster.factories.common import AssetFactoryResponse +from oso_dagster.factories.common import AssetFactoryResponse, ResourceFactory from .resources import default_resource_registry @@ -23,10 +23,17 @@ def load_definitions_with_asset_factories( def run_with_default_resources[T]( func: t.Callable[..., T], + override_resources: list[ResourceFactory] | None = None, **kwargs: t.Any, ) -> T: """Run a function with the default resources.""" registry = default_resource_registry() + + if override_resources: + registry = registry.clone() + for factory in override_resources: + registry.add(factory, override=True) + resources = registry.context() return resources.run(func, **kwargs) diff --git a/warehouse/oso_dagster/definitions/legacy.py b/warehouse/oso_dagster/definitions/legacy.py index 39a979cb2c..b404722177 100644 --- a/warehouse/oso_dagster/definitions/legacy.py +++ b/warehouse/oso_dagster/definitions/legacy.py @@ -1,12 +1,16 @@ import logging import typing as t +from dotenv import load_dotenv from oso_core.logging import setup_module_logging from oso_core.logging.decorators import time_function +load_dotenv() + logger = logging.getLogger(__name__) setup_module_logging("oso_dagster") +setup_module_logging("dagster_sqlmesh") @time_function(logger, override_name="legacy_main") @@ -68,7 +72,7 @@ def load_definitions( dlt_warehouse_destination: Destination, dlt: DagsterDltResource, alert_manager: AlertManager, - sqlmesh_config: SQLMeshContextConfig, + sqlmesh_context_config: SQLMeshContextConfig, sqlmesh_infra_config: t.Dict[str, str], sqlmesh: SQLMeshResource, k8s: K8sResource, @@ -118,7 +122,7 @@ def load_definitions( "dlt_warehouse_destination": dlt_warehouse_destination, "project_id": global_config.project_id, "alert_manager": alert_manager, - "sqlmesh_config": sqlmesh_config, + "sqlmesh_config": sqlmesh_context_config, "sqlmesh_infra_config": sqlmesh_infra_config, "k8s": k8s, "trino": trino, diff --git a/warehouse/oso_dagster/definitions/resources.py b/warehouse/oso_dagster/definitions/resources.py index a441df6786..c9e14d1d7e 100644 --- a/warehouse/oso_dagster/definitions/resources.py +++ b/warehouse/oso_dagster/definitions/resources.py @@ -1,3 +1,4 @@ +import os import typing as t import structlog @@ -6,6 +7,7 @@ from dagster_gcp import BigQueryResource, GCSResource from dagster_sqlmesh import SQLMeshContextConfig, SQLMeshResource from dlt.common.destination import Destination +from oso_core.cache import Cache, CacheOptions, FileCacheBackend from oso_core.logging.decorators import time_function from oso_dagster.cbt.cbt import CBTResource from oso_dagster.factories import resource_factory @@ -41,6 +43,7 @@ LogAlertManager, ) from oso_dagster.utils.secrets import SecretResolver +from sqlmesh.core.config.connection import DuckDBConnectionConfig, TrinoConnectionConfig from ..config import DagsterConfig from ..utils import GCPSecretResolver, LocalSecretResolver @@ -103,15 +106,57 @@ def gcs_resource_factory(global_config: DagsterConfig) -> GCSResource: return GCSResource(project=global_config.project_id) -@resource_factory("sqlmesh_translator") +@resource_factory("cache") @time_function(logger) -def sqlmesh_translator_factory(): - return PrefixedSQLMeshTranslator("sqlmesh") +def cache_factory( + global_config: DagsterConfig, +) -> Cache: + """Factory function to create SQLMesh cache options.""" + return Cache.from_backend( + backend=FileCacheBackend( + cache_dir=global_config.asset_cache_dir, + ), + options=CacheOptions( + default_ttl_seconds=global_config.asset_cache_default_ttl_seconds, + enabled=global_config.asset_cache_enabled, + ), + ) -@resource_factory("sqlmesh_config") +@resource_factory("sqlmesh_translator") @time_function(logger) -def sqlmesh_config_factory(global_config: DagsterConfig) -> SQLMeshContextConfig: +def sqlmesh_translator_factory( + global_config: DagsterConfig, sqlmesh_context_config: SQLMeshContextConfig +) -> PrefixedSQLMeshTranslator: + sqlmesh_config = sqlmesh_context_config.sqlmesh_config + if sqlmesh_config is None: + raise ValueError("SQLMesh configuration is not set in the context config.") + gateway = sqlmesh_config.gateways[global_config.sqlmesh_gateway] + connection = gateway.connection + if connection is None: + raise ValueError("SQLMesh gateway connection is not set in the context config.") + default_catalog = "" + match connection: + case TrinoConnectionConfig(catalog=catalog): + default_catalog = catalog + case DuckDBConnectionConfig(database=database): + if not database: + raise ValueError( + "DuckDB database path is not set in the context config." + ) + default_catalog = os.path.basename(database).split(".")[0] + case _: + raise ValueError( + f"Unsupported SQLMesh connection type: {type(connection).__name__}" + ) + return PrefixedSQLMeshTranslator("sqlmesh", default_catalog) + + +@resource_factory("sqlmesh_context_config") +@time_function(logger) +def sqlmesh_context_config_factory( + global_config: DagsterConfig, +) -> SQLMeshContextConfig: return SQLMeshContextConfig( path=global_config.sqlmesh_dir, gateway=global_config.sqlmesh_gateway, @@ -145,11 +190,11 @@ def trino_resource_factory( @resource_factory("sqlmesh") def sqlmesh_resource_factory( - sqlmesh_config: SQLMeshContextConfig, + sqlmesh_context_config: SQLMeshContextConfig, ) -> SQLMeshResource: """Factory function to create a SQLMesh resource.""" return SQLMeshResource( - config=sqlmesh_config, + config=sqlmesh_context_config, ) @@ -347,7 +392,8 @@ def default_resource_registry(): registry.add(gcs_resource_factory) registry.add(sqlmesh_resource_factory) registry.add(sqlmesh_translator_factory) - registry.add(sqlmesh_config_factory) + registry.add(sqlmesh_context_config_factory) + registry.add(cache_factory) registry.add(k8s_resource_factory) registry.add(trino_resource_factory) registry.add(sqlmesh_exporter_factory) diff --git a/warehouse/oso_dagster/factories/common.py b/warehouse/oso_dagster/factories/common.py index 3baad37f9a..9e3f2c246b 100644 --- a/warehouse/oso_dagster/factories/common.py +++ b/warehouse/oso_dagster/factories/common.py @@ -1,3 +1,4 @@ +import copy import inspect import typing as t from dataclasses import dataclass, field @@ -12,8 +13,11 @@ SensorDefinition, SourceAsset, ) +from oso_core.cache import Cache, CacheInvalidError +from oso_core.cache.types import CacheMetadataOptions, StructuredCacheKey from oso_dagster.config import DagsterConfig from oso_dagster.utils import dagsterinternals as dginternals +from pydantic import BaseModel type GenericAsset = t.Union[ AssetsDefinition, SourceAsset, dginternals.CacheableAssetsDefinition, AssetSpec @@ -126,14 +130,14 @@ def clone(self) -> "ResourcesRegistry": resources_dag=self._resources_dag.copy(), ) - def add(self, resource_factory: ResourceFactory): + def add(self, resource_factory: ResourceFactory, override: bool = False): """Add a resource factory to the early resources container.""" if resource_factory.name == "resources": raise ValueError( "Resource factory with name 'resources' is reserved and cannot be used." ) - if resource_factory.name in self._resources: + if resource_factory.name in self._resources and not override: raise ValueError( f"Resource factory with name {resource_factory.name} already exists." ) @@ -240,6 +244,10 @@ def run[T]( resolved_resources[key] = self.resolve(key) return f(**resolved_resources, **kwargs) + def has_resource_available(self, name: str) -> bool: + """Check if this resource is available in the registry.""" + return name in self._registry._resources + def resolve(self, name: str) -> t.Any: """Resolve a resource by name. If the resource is not resolved yet, it will be resolved and cached.""" @@ -267,14 +275,16 @@ class EarlyResourcesAssetFactory: def __init__( self, f: EarlyResourcesAssetDecoratedFunction, - caller: t.Optional[inspect.FrameInfo] = None, - additional_annotations: t.Optional[t.Dict[str, t.Any]] = None, - dependencies: t.Optional[t.List["EarlyResourcesAssetFactory"]] = None, + caller: inspect.FrameInfo | None = None, + additional_annotations: t.Dict[str, t.Any] | None = None, + dependencies: t.List["EarlyResourcesAssetFactory"] | None = None, + tags: dict[str, str] | None = None, ): self._f = f self._caller = caller self.additional_annotations = additional_annotations or {} self._dependencies = dependencies or [] + self._tags = tags or {} def __call__( self, resources: ResourcesContext, dependencies: t.List[AssetFactoryResponse] @@ -287,7 +297,9 @@ def __call__( res = resources.run( self._f, additional_annotations=self.additional_annotations, - additional_inject=dict(dependencies=dependencies), + additional_inject=dict( + dependencies=dependencies, factory_caller=self._caller + ), ) except Exception: if self._caller: @@ -329,12 +341,18 @@ def module(self) -> str: def dependencies(self): return self._dependencies[:] + @property + def tags(self) -> dict[str, str]: + """Get the tags for the asset factory.""" + return self._tags.copy() + def early_resources_asset_factory( *, caller_depth: int = 1, additional_annotations: t.Optional[t.Dict[str, t.Any]] = None, dependencies: t.Optional[t.List[EarlyResourcesAssetFactory]] = None, + tags: dict[str, str] | None = None, ): caller = inspect.stack()[caller_depth] @@ -344,6 +362,7 @@ def _decorator(f: EarlyResourcesAssetDecoratedFunction): caller=caller, additional_annotations=additional_annotations, dependencies=dependencies, + tags=tags, ) return _decorator @@ -366,3 +385,186 @@ def _decorator(f: t.Callable[..., t.Any]) -> ResourceFactory: ) return _decorator + + +C = t.TypeVar("C", bound=BaseModel, covariant=True) + + +class CacheableDagsterObjectGenerator(t.Protocol[C]): + def __call__(self, *args, **kwargs) -> C: ... + + __name__: str + + +type CacheableDagsterObjectHydrator = t.Callable[..., AssetFactoryResponse] + + +class CacheableDagsterObjectKey(StructuredCacheKey): + cache_key_metadata: dict[str, str] + name: str + sub_name: str = "" + + +@dataclass(kw_only=True) +class _GeneratorRegistration: + generator: CacheableDagsterObjectGenerator + cacheable_type: t.Type[BaseModel] + extra_cache_key_metadata: dict[str, str] + cache_metadata_options: CacheMetadataOptions | None = None + + +class CacheableDagsterContext: + """Provides a way to create cacheable asset factories from one or more generateor functions.""" + + def __init__(self, name: str, resources: ResourcesContext, cache: Cache): + self._name = name + self._cache = cache + self._resources = resources + + self._generators: dict[ + str, + _GeneratorRegistration, + ] = {} + self._hydrator: t.Callable[..., AssetFactoryResponse] | None = None + + def register_generator( + self, + *, + cacheable_type: t.Type[C], + name: str = "", + extra_cache_key_metadata: dict[str, str] | None = None, + cache_metadata_options: CacheMetadataOptions | None = None, + ) -> t.Callable[..., None]: + def _decorator( + generator: CacheableDagsterObjectGenerator[C], + ) -> None: + """A decorator that registers a generator function to the cacheable context.""" + generator_name = name or generator.__name__ + self._generators[generator_name] = _GeneratorRegistration( + generator=generator, + cacheable_type=cacheable_type, + extra_cache_key_metadata=extra_cache_key_metadata or {}, + cache_metadata_options=cache_metadata_options, + ) + + return _decorator + + def register_hydrator(self) -> t.Callable[..., None]: + """A decorator that registers a hydrator function to the cacheable context.""" + + def _decorator( + f: t.Callable[..., AssetFactoryResponse], + ) -> None: + """A decorator that registers a hydrator function to the cacheable context.""" + if self._hydrator is not None: + raise ValueError("hydrator already registered.") + self._hydrator = f + + return _decorator + + def load(self, cache_key_metadata: dict[str, str]): + """Load the cacheable context. + + For all of the expected annotations in the hydrator, we will run + either load from cache or run the generator functions and then inject + that into the hydrator. + """ + + if self._hydrator is None: + raise ValueError("hydrator not registered.") + + resources = self._resources + + generated_objects: t.Dict[str, BaseModel] = {} + + # Get all the annotations from the hydrator function + annotations = self._hydrator.__annotations__ + for key, value in annotations.items(): + if key == "return": + continue + + if key == ResourcesContext.resources_keyword_name: + # If the key is the resources context, we will inject the resources context + # into the hydrator. + continue + + if key in self._generators and resources.has_resource_available(key): + raise ValueError( + f"Resource {key} is already registered as a generator, " + "but is also expected to be resolved from the resources context." + "this is ambiguous and should be resolved by the caller." + ) + + # First check if the key is one of the registered generators + if key in self._generators: + registration = self._generators[key] + if value is not registration.cacheable_type: + raise ValueError( + f"Generator {key} is registered with type {registration.cacheable_type}, " + f"but the hydrator expects type {value}." + ) + + generator_cache_key_metadata = copy.deepcopy(cache_key_metadata) + generator_cache_key_metadata.update( + registration.extra_cache_key_metadata + ) + + cache_key = CacheableDagsterObjectKey( + cache_key_metadata=generator_cache_key_metadata, + name=self._name, + sub_name=key, + ) + + try: + # Try to load the object from cache + obj = self._cache.retrieve_object( + cache_key, + registration.cacheable_type, + options=registration.cache_metadata_options, + ) + except CacheInvalidError: + # If the object is not in cache, we will run the generator + obj = resources.run( + registration.generator, + additional_inject={"cache_context": self}, + ) + self._cache.store_object( + cache_key, obj, options=registration.cache_metadata_options + ) + + generated_objects[key] = obj + + # Run the hydrator with the loaded bindings + return resources.run(self._hydrator, additional_inject=generated_objects) + + +def cacheable_asset_factory(tags: dict[str, str] | None = None): + def _decorator( + f: t.Callable[..., CacheableDagsterContext], + ) -> EarlyResourcesAssetFactory: + """A decorator that creates a cacheable asset factory from a generator function. + + This decorator will create a cacheable asset factory that can be used to + create assets that can be cached and retrieved from the cache. + """ + + @early_resources_asset_factory(caller_depth=2, tags=tags) + def _factory( + resources: ResourcesContext, cache: Cache, factory_caller: inspect.FrameInfo + ) -> AssetFactoryResponse: + context = CacheableDagsterContext( + name=f.__name__, + resources=resources, + cache=cache, + ) + resources.run(f, additional_inject={"cache_context": context}) + + return context.load( + cache_key_metadata=dict( + filename=factory_caller.filename, + ) + ) + + return _factory + + return _decorator diff --git a/warehouse/oso_dagster/factories/loader.py b/warehouse/oso_dagster/factories/loader.py index 796a8c93be..0862c4fcd2 100644 --- a/warehouse/oso_dagster/factories/loader.py +++ b/warehouse/oso_dagster/factories/loader.py @@ -39,10 +39,19 @@ def sorted(self): return self._sorted + def matching_tags(self, tags: dict[str, str]) -> "EarlyResourcesAssetFactoryDAG": + """Returns a subgraph of EarlyResourcesAssetFactory that match the given tags.""" + subgraph = EarlyResourcesAssetFactoryDAG() + for factory in self._graph.keys(): + if all(factory.tags.get(k) == v for k, v in tags.items()): + subgraph.add(factory) + return subgraph + def load_all_assets_from_package( package: ModuleType, resources: ResourcesContext, + matching_tags: dict[str, str] | None = None, ) -> AssetFactoryResponse: """Loads all assets and factories from a given package and any submodules it may have @@ -50,6 +59,10 @@ def load_all_assets_from_package( package (ModuleType): The package to load assets and factories from. resources (ResourcesContext): The resources context to use for loading asset factories. + matching_tags (dict[str, str] | None): If provided, only assets and factories + with matching tags will be loaded. This only filters the early + resources asset factories. This is useful for preprocessing early asset + factories. Returns: AssetFactoryResponse: A response containing all loaded assets and factories. @@ -70,8 +83,15 @@ def load_all_assets_from_package( resolved_factories: t.Dict[EarlyResourcesAssetFactory, AssetFactoryResponse] = {} + if matching_tags: + logger.debug(f"Filtering early resources DAG with tags: {matching_tags}") + early_resources_dag = early_resources_dag.matching_tags(matching_tags) + # Resolve all early factories in topological order for early_factory, deps in early_resources_dag.sorted(): + logger.debug( + f"Resolving early factory '{early_factory.name}' with deps: {deps}" + ) resolved_deps = [resolved_factories[factory] for factory in deps] with time_context( diff --git a/warehouse/oso_dagster/factories/types.py b/warehouse/oso_dagster/factories/types.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/warehouse/oso_dagster/resources/sqlmesh.py b/warehouse/oso_dagster/resources/sqlmesh.py index 6e876bbad7..5d81d44254 100644 --- a/warehouse/oso_dagster/resources/sqlmesh.py +++ b/warehouse/oso_dagster/resources/sqlmesh.py @@ -2,12 +2,13 @@ Auxiliary resources for sqlmesh """ +import abc import json -import logging import math import typing as t from itertools import batched +import structlog from dagster import ( AssetExecutionContext, AssetKey, @@ -24,28 +25,34 @@ from oso_dagster.resources.clickhouse import ClickhouseImporterResource from oso_dagster.resources.duckdb import DuckDBExporterResource, DuckDBImporterResource from oso_dagster.resources.trino import TrinoExporterResource +from pydantic import BaseModel, Field from sqlglot import exp from sqlmesh import Context from sqlmesh.core.dialect import parse_one from sqlmesh.core.model import Model -logger = logging.getLogger(__name__) +logger = structlog.get_logger(__name__) BIGQUERY_BATCH_SIZE = 10000 class PrefixedSQLMeshTranslator(SQLMeshDagsterTranslator): - def __init__(self, prefix: str): + def __init__(self, prefix: str, default_catalog: str): self._prefix = prefix + self._default_catalog = default_catalog def get_asset_key(self, context: Context, fqn: str) -> AssetKey: table = exp.to_table(fqn) # Ensure fqn is a valid table expression - if table.catalog in ["bigquery", "iceberg", ""]: + if table.catalog in ["bigquery", self._default_catalog]: # For BigQuery and Iceberg, we use the db and table name - path = [table.db, table.name] + if table.db == "oso": + path = [self._prefix, table.name] + else: + path = [table.db, table.name] else: # For other catalogs, we use catalog, db, and table name (these are likely external things) path = [table.catalog, table.db, table.name] + return AssetKey(path) def get_group_name(self, context, model): @@ -83,15 +90,95 @@ def get_unfiltered_tags(self, context: Context, model: Model) -> t.Dict[str, str return tags -class SQLMeshExporter: - name: str +class SQLMeshExportedAssetDefinition(BaseModel): + outs: t.Dict[str, str] + internal_asset_deps: t.Mapping[str, t.Set[str]] + deps: t.List[str] + extras: t.Dict[str, t.Any] = Field(default_factory=dict) + + @classmethod + def from_dagster_objs( + cls, + outs: t.Dict[str, AssetKey], + internal_asset_deps: t.Mapping[str, t.Set[AssetKey]], + deps: t.List[AssetKey], + extras: t.Dict[str, t.Any] | None = None, + ): + processed_outs = {name: out.to_user_string() for name, out in outs.items()} + processed_internal_asset_deps = { + name: {dep.to_user_string() for dep in deps_set} + for name, deps_set in internal_asset_deps.items() + } + processed_deps = [dep.to_user_string() for dep in deps] + return cls( + outs=processed_outs, + internal_asset_deps=processed_internal_asset_deps, + deps=processed_deps, + extras=extras or {}, + ) + + def outs_as_dagster_obj(self) -> t.Dict[str, AssetOut]: + """Converts the outs to AssetOuts.""" + return { + name: AssetOut(key=AssetKey.from_user_string(self.outs[name])) + for name in self.outs + } + + def internal_asset_deps_as_dagster_obj(self) -> t.Mapping[str, t.Set[AssetKey]]: + """Converts the internal asset deps to AssetDeps.""" + return { + name: {AssetKey.from_user_string(dep) for dep in deps_set} + for name, deps_set in self.internal_asset_deps.items() + } + + def deps_as_dagster_obj(self) -> t.List[AssetKey]: + """Converts the deps to AssetKeys.""" + return [AssetKey.from_user_string(dep) for dep in self.deps] + +class SQLMeshExporter(abc.ABC): + @abc.abstractmethod + def name(self) -> str: + """Returns the name of the exporter.""" + raise NotImplementedError("Not implemented") + + @abc.abstractmethod def create_export_asset( self, mesh: SQLMeshInstance, translator: PrefixedSQLMeshTranslator, to_export: t.List[t.Tuple[Model, AssetKey]], + ) -> SQLMeshExportedAssetDefinition: + """This creates an export asset that can be cached""" + raise NotImplementedError("Not implemented") + + def asset_from_definition( + self, + definition: SQLMeshExportedAssetDefinition, ) -> AssetsDefinition: + """Converts the exported asset definition to a Dagster AssetsDefinition.""" + outs = definition.outs_as_dagster_obj() + internal_asset_deps = definition.internal_asset_deps_as_dagster_obj() + deps = definition.deps_as_dagster_obj() + + return multi_asset( + outs=outs, + internal_asset_deps=internal_asset_deps, + deps=deps, + **self.asset_options(definition), + )(self.asset_function(definition)) + + def asset_options( + self, definition: SQLMeshExportedAssetDefinition + ) -> t.Dict[str, t.Any]: + """Returns the options for the asset.""" + return dict( + compute_kind="sqlmesh-export", + can_subset=True, + ) + + @abc.abstractmethod + def asset_function(self, definition: SQLMeshExportedAssetDefinition) -> t.Callable: raise NotImplementedError("Not implemented") @@ -113,6 +200,9 @@ def __init__( self._source_catalog = source_catalog self._source_schema = source_schema + def name(self) -> str: + return "trino2clickhouse" + def trino_destination_table(self, table_name: str): return f"{self._destination_catalog}.{self._destination_schema}.{table_name}" @@ -122,10 +212,9 @@ def clickhouse_destination_table(self, table_name: str): def trino_source_table(self, table_name: str): return f"{self._source_catalog}.{self._source_schema}.{table_name}" - def convert_model_key_to_clickhouse_out(self, key: AssetKey) -> AssetOut: - return AssetOut( - key_prefix=self._prefix, - is_required=False, + def convert_model_key_to_clickhouse_out(self, key: AssetKey) -> AssetKey: + return AssetKey( + path=[*self._prefix, key.path[-1]], ) def create_export_asset( @@ -133,7 +222,7 @@ def create_export_asset( mesh: SQLMeshInstance, translator: PrefixedSQLMeshTranslator, to_export: t.List[t.Tuple[Model, AssetKey]], - ) -> AssetsDefinition: + ) -> SQLMeshExportedAssetDefinition: clickhouse_outs = { key.path[-1]: self.convert_model_key_to_clickhouse_out(key) for _, key in to_export @@ -142,7 +231,8 @@ def create_export_asset( key.path[-1]: {key} for _, key in to_export } deps = [key for _, key in to_export] - table_metadata: dict[str, TableMetadata] = {} + table_metadata: dict[str, dict] = {} + for model, asset_key in to_export: tags = translator.get_unfiltered_tags(mesh.context, model) index = "index" in tags and json.loads(tags["index"]) or None @@ -150,15 +240,24 @@ def create_export_asset( table_metadata[asset_key.path[-1]] = TableMetadata( index=index, order_by=order_by, - ) + ).model_dump() + extras = dict(table_metadata=table_metadata) - @multi_asset( + return SQLMeshExportedAssetDefinition.from_dagster_objs( outs=clickhouse_outs, internal_asset_deps=internal_asset_deps, deps=deps, - compute_kind="sqlmesh-export", - can_subset=True, + extras=extras, ) + + def asset_function(self, definition: SQLMeshExportedAssetDefinition): + table_metadata = { + name: TableMetadata.model_validate(raw_metadata) + for name, raw_metadata in definition.extras.get( + "table_metadata", {} + ).items() + } + async def trino_clickhouse_export( context: AssetExecutionContext, trino_exporter: TrinoExporterResource, @@ -280,13 +379,15 @@ def __init__( self._source_catalog = source_catalog self._source_schema = source_schema + def name(self) -> str: + return "trino2bigquery" + def bigquery_destination_table(self, table_name: str) -> str: return f"`{self._project_id}.{self._dataset_id}.{table_name}`" - def convert_model_key_to_bigquery_out(self, _key: AssetKey) -> AssetOut: - return AssetOut( - key_prefix=self._prefix, - is_required=False, + def convert_model_key_to_bigquery_out(self, key: AssetKey) -> AssetKey: + return AssetKey( + path=[*self._prefix, key.path[-1]], ) def create_export_asset( @@ -294,7 +395,7 @@ def create_export_asset( mesh: SQLMeshInstance, translator: SQLMeshDagsterTranslator, to_export: t.List[t.Tuple[Model, AssetKey]], # Added translator parameter - ) -> AssetsDefinition: + ) -> SQLMeshExportedAssetDefinition: bigquery_outs = { key.path[-1]: self.convert_model_key_to_bigquery_out(key) for _, key in to_export @@ -304,13 +405,13 @@ def create_export_asset( } deps = [key for _, key in to_export] - @multi_asset( + return SQLMeshExportedAssetDefinition.from_dagster_objs( outs=bigquery_outs, internal_asset_deps=internal_asset_deps, deps=deps, - compute_kind="sqlmesh-export", - can_subset=True, ) + + def asset_function(self, definition: SQLMeshExportedAssetDefinition): async def trino_bigquery_export( context: AssetExecutionContext, trino_exporter: TrinoExporterResource, @@ -447,13 +548,15 @@ def __init__( self._dataset_id = dataset_id self._bucket_name = bucket_name + def name(self) -> str: + return "duckdb2bigquery" + def bigquery_destination_table(self, table_name: str) -> str: return f"`{self._project_id}.{self._dataset_id}.{table_name}`" - def convert_model_key_to_bigquery_out(self, _key: AssetKey) -> AssetOut: - return AssetOut( - key_prefix=self._prefix, - is_required=False, + def convert_model_key_to_bigquery_out(self, key: AssetKey) -> AssetKey: + return AssetKey( + path=[*self._prefix, key.path[-1]], ) def create_export_asset( @@ -461,7 +564,7 @@ def create_export_asset( mesh: SQLMeshInstance, translator: SQLMeshDagsterTranslator, to_export: t.List[t.Tuple[Model, AssetKey]], # Added translator parameter - ) -> AssetsDefinition: + ) -> SQLMeshExportedAssetDefinition: bigquery_outs = { key.path[-1]: self.convert_model_key_to_bigquery_out(key) for _, key in to_export @@ -471,13 +574,13 @@ def create_export_asset( } deps = [key for _, key in to_export] - @multi_asset( + return SQLMeshExportedAssetDefinition.from_dagster_objs( outs=bigquery_outs, internal_asset_deps=internal_asset_deps, deps=deps, - compute_kind="sqlmesh-export", - can_subset=True, ) + + def asset_function(self, definition: SQLMeshExportedAssetDefinition): async def duckdb_bigquery_export( context: AssetExecutionContext, duckdb_exporter: DuckDBExporterResource, @@ -617,10 +720,12 @@ def __init__( self._source_catalog = source_catalog self._source_schema = source_schema - def convert_model_key_to_duckdb_out(self, _key: AssetKey) -> AssetOut: - return AssetOut( - key_prefix=self._prefix, - is_required=False, + def name(self) -> str: + return "trino2duckdb" + + def convert_model_key_to_duckdb_out(self, key: AssetKey) -> AssetKey: + return AssetKey( + path=[*self._prefix, key.path[-1]], ) def create_export_asset( @@ -628,7 +733,7 @@ def create_export_asset( mesh: SQLMeshInstance, translator: SQLMeshDagsterTranslator, # Added translator parameter to_export: t.List[t.Tuple[Model, AssetKey]], - ) -> AssetsDefinition: + ) -> SQLMeshExportedAssetDefinition: duckdb_outs = { key.path[-1]: self.convert_model_key_to_duckdb_out(key) for _, key in to_export @@ -638,13 +743,13 @@ def create_export_asset( } deps = [key for _, key in to_export] - @multi_asset( + return SQLMeshExportedAssetDefinition.from_dagster_objs( outs=duckdb_outs, internal_asset_deps=internal_asset_deps, deps=deps, - compute_kind="sqlmesh-export", - can_subset=True, ) + + def asset_function(self, definition: SQLMeshExportedAssetDefinition): async def trino_duckdb_export( context: AssetExecutionContext, trino_exporter: TrinoExporterResource,