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feat: Compute Engine Initial Implementation #5223
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Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| from dataclasses import dataclass, field | ||
| from typing import Dict, List, Union | ||
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| import pandas as pd | ||
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| from feast.entity import Entity | ||
| from feast.infra.compute_engines.dag.value import DAGValue | ||
| from feast.infra.offline_stores.offline_store import OfflineStore | ||
| from feast.infra.online_stores.online_store import OnlineStore | ||
| from feast.repo_config import RepoConfig | ||
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| @dataclass | ||
| class ExecutionContext: | ||
| project: str | ||
| repo_config: RepoConfig | ||
| offline_store: OfflineStore | ||
| online_store: OnlineStore | ||
| entity_defs: List[Entity] | ||
| entity_df: Union[pd.DataFrame, None] = None | ||
| node_outputs: Dict[str, DAGValue] = field(default_factory=dict) |
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,28 +1,7 @@ | ||
| from dataclasses import dataclass, field | ||
| from enum import Enum | ||
| from typing import Dict, List, Union | ||
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| import pandas as pd | ||
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| from feast.entity import Entity | ||
| from feast.infra.compute_engines.dag.value import DAGValue | ||
| from feast.infra.offline_stores.offline_store import OfflineStore | ||
| from feast.infra.online_stores.online_store import OnlineStore | ||
| from feast.repo_config import RepoConfig | ||
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| class DAGFormat(str, Enum): | ||
| SPARK = "spark" | ||
| PANDAS = "pandas" | ||
| ARROW = "arrow" | ||
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| @dataclass | ||
| class ExecutionContext: | ||
| project: str | ||
| repo_config: RepoConfig | ||
| offline_store: OfflineStore | ||
| online_store: OnlineStore | ||
| entity_defs: List[Entity] | ||
| entity_df: Union[pd.DataFrame, None] = None | ||
| node_outputs: Dict[str, DAGValue] = field(default_factory=dict) | ||
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Native python?
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Right, it's only a placeholder for now. The native python will be interesting as it works with on demand feature view. Will do it in the next PR