3f04d5101e
Iteration 1: - Dark theme with 3-way toggle - Dynamic heatmap gradient (blue→red) - Radius up to 100km - Save & Calculate workflow Iteration 2: - Terrain overlay toggle - Batch height operations - Zoom-dependent heatmap rendering Infrastructure: - Backend FastAPI on 8888 - Frontend static build via Caddy - Systemd services - Caddy reverse proxy integration
67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
import json
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import pickle
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from enum import Enum
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from pathlib import Path
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from typing import Any, Callable, Union
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from pydantic.v1.types import StrBytes
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class Protocol(str, Enum):
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json = 'json'
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pickle = 'pickle'
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def load_str_bytes(
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b: StrBytes,
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*,
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content_type: str = None,
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encoding: str = 'utf8',
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proto: Protocol = None,
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allow_pickle: bool = False,
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json_loads: Callable[[str], Any] = json.loads,
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) -> Any:
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if proto is None and content_type:
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if content_type.endswith(('json', 'javascript')):
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pass
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elif allow_pickle and content_type.endswith('pickle'):
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proto = Protocol.pickle
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else:
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raise TypeError(f'Unknown content-type: {content_type}')
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proto = proto or Protocol.json
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if proto == Protocol.json:
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if isinstance(b, bytes):
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b = b.decode(encoding)
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return json_loads(b)
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elif proto == Protocol.pickle:
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if not allow_pickle:
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raise RuntimeError('Trying to decode with pickle with allow_pickle=False')
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bb = b if isinstance(b, bytes) else b.encode()
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return pickle.loads(bb)
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else:
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raise TypeError(f'Unknown protocol: {proto}')
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def load_file(
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path: Union[str, Path],
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*,
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content_type: str = None,
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encoding: str = 'utf8',
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proto: Protocol = None,
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allow_pickle: bool = False,
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json_loads: Callable[[str], Any] = json.loads,
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) -> Any:
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path = Path(path)
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b = path.read_bytes()
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if content_type is None:
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if path.suffix in ('.js', '.json'):
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proto = Protocol.json
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elif path.suffix == '.pkl':
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proto = Protocol.pickle
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return load_str_bytes(
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b, proto=proto, content_type=content_type, encoding=encoding, allow_pickle=allow_pickle, json_loads=json_loads
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)
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