Datasets:
Create metadata.py
Browse files- metadata.py +127 -0
metadata.py
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| 1 |
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from __future__ import annotations
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import csv
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from pathlib import Path
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import threading
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from typing import Any, Protocol, runtime_checkable
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@runtime_checkable
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class Hashable(Protocol):
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def to_dict(self) -> dict: ...
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def column_names(self) -> list[str]: ...
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def get(self, key: str) -> str | None: ...
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def __getitem__(self, key: str) -> str: ...
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def __setitem__(self, key: str, value: Any) -> None: ...
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def __contains__(self, key: str) -> bool: ...
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@classmethod
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def from_dict(cls, data: dict) -> Hashable: ...
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class MetadataItem(Hashable):
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def __init__(self, **kwargs) -> None:
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self.data = kwargs
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def get(self, key: str) -> str | None:
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return self.data.get(key, None)
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def to_dict(self) -> dict:
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return self.data
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def column_names(self) -> list[str]:
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return list(self.data.keys())
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@classmethod
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def from_dict(cls, data: dict) -> MetadataItem:
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return cls(**data)
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def __getitem__(self, key: str) -> str:
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return self.data[key]
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def __setitem__(self, key: str, value: str | float) -> None:
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self.data[key] = value
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def __contains__(self, key: str) -> bool:
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return key in self.data
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class LockedMetadata:
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def __init__(
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self,
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key_field: str,
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existing: list[Hashable] | None = None,
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) -> None:
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self.key_field = key_field
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self.lock = threading.Lock()
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existing = existing or []
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self.metadata: dict[str, Hashable] = {}
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for item in existing:
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if not isinstance(item, Hashable):
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raise TypeError(f"Item must be of type {Hashable.__name__}, got {type(item).__name__}.")
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key = item.get(self.key_field)
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if key is None:
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raise ValueError(f"Item must have a '{self.key_field}' field.")
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self.metadata[key] = item
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def add(self, item: Hashable) -> Hashable | None:
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replaced: Hashable | None = None
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with self.lock:
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key = item.get(self.key_field)
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if key is None:
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raise ValueError(f"Item must have a '{self.key_field}' field.")
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if key in self.metadata:
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replaced = self.metadata[key]
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self.metadata[key] = item
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return replaced
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def get(self, key: str) -> Hashable | None:
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with self.lock:
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return self.metadata.get(key, None)
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def __contains__(self, item: str) -> bool:
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with self.lock:
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return item in self.metadata
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def __iter__(self):
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with self.lock:
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return iter(self.metadata.values())
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def save(self, file: Path) -> None:
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with self.lock:
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items = list(self.metadata.values())
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if not items:
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return
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item = items[0]
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with open(file, 'w', newline='', encoding='utf-8') as f:
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writer = csv.DictWriter(f, fieldnames=item.column_names())
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writer.writeheader()
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writer.writerows([item.to_dict() for item in items])
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| 111 |
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@classmethod
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| 113 |
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def load(
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| 114 |
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cls,
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file: Path,
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| 116 |
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key_field: str,
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item_type: type[Hashable] = MetadataItem,
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| 118 |
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) -> LockedMetadata:
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items = []
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with open(file, 'r', newline='', encoding='utf-8') as f:
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reader = csv.DictReader(f)
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| 123 |
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for row in reader:
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| 125 |
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items.append(item_type.from_dict(row))
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| 126 |
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| 127 |
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return cls(existing=items, key_field=key_field)
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