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After some considerations, while the flusher was an interesting experiment, it doesn't seem to be reliable enough. It's been removed in favor of the helpers autosaving on any change in a threadsafe way.
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import functools
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import json
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import os
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import asyncio
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import logging
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from uuid import uuid4
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# This is basically our old DataIO, except that it's now threadsafe
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# and just a base for much more elaborate classes
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log = logging.getLogger("red")
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PRETTY = {"indent": 4, "sort_keys": True, "separators": (',', ' : ')}
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MINIFIED = {"sort_keys": True, "separators": (',', ':')}
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class JsonIO:
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"""Basic functions for atomic saving / loading of json files"""
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_lock = asyncio.Lock()
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def _save_json(self, path, data, settings=PRETTY):
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log.debug("Saving file {}".format(path))
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filename, _ = os.path.splitext(path)
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tmp_file = "{}-{}.tmp".format(filename, uuid4().fields[0])
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with open(tmp_file, encoding="utf-8", mode="w") as f:
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json.dump(data, f, **settings)
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os.replace(tmp_file, path)
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async def _threadsafe_save_json(self, path, data, settings=PRETTY):
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loop = asyncio.get_event_loop()
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func = functools.partial(self._save_json, path, data, settings)
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with await self._lock:
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await loop.run_in_executor(None, func)
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def _load_json(self, path):
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log.debug("Reading file {}".format(path))
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with open(path, encoding='utf-8', mode="r") as f:
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data = json.load(f)
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return data
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async def _threadsafe_load_json(self, path):
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loop = asyncio.get_event_loop()
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func = functools.partial(self._load_json, path)
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task = loop.run_in_executor(None, func)
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with await self._lock:
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return await asyncio.wait_for(task)
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