bluemaestro: make iterative, add stat()
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1 changed files with 27 additions and 24 deletions
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@ -3,13 +3,12 @@
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[[https://bluemaestro.com/products/product-details/bluetooth-environmental-monitor-and-logger][Bluemaestro]] temperature/humidity/pressure monitor
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"""
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# TODO eh, most of it belongs to DAL
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# todo eh, most of it belongs to DAL
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import sqlite3
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from datetime import datetime
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from itertools import chain, islice
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from pathlib import Path
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from typing import Any, Dict, Iterable, NamedTuple, Set
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import sqlite3
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from typing import Iterable, NamedTuple, Sequence, Set
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from ..common import mcachew, LazyLogger, get_files
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@ -20,8 +19,8 @@ from my.config import bluemaestro as config
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logger = LazyLogger('bluemaestro', level='debug')
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def _get_exports():
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return get_files(config.export_path, glob='*.db')
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def inputs() -> Sequence[Path]:
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return get_files(config.export_path)
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class Measurement(NamedTuple):
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@ -30,11 +29,10 @@ class Measurement(NamedTuple):
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@mcachew(cache_path=config.cache_path)
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def _iter_measurements(dbs) -> Iterable[Measurement]:
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# I guess we can affort keeping them in sorted order
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points: Set[Measurement] = set()
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# TODO do some sanity check??
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def measurements(dbs=inputs()) -> Iterable[Measurement]:
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emitted: Set[datetime] = set()
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for f in dbs:
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logger.debug('processing %s', f)
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# err = f'{f}: mismatch: {v} vs {value}'
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# if abs(v - value) > 0.4:
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# logger.warning(err)
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@ -42,24 +40,28 @@ def _iter_measurements(dbs) -> Iterable[Measurement]:
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# # raise AssertionError(err)
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# else:
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# pass
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with sqlite3.connect(str(f)) as db:
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datas = list(db.execute('select * from data'))
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# with sqlite3.connect(f'file:{db}?immutable=1', uri=True) as c:
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tot = 0
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new = 0
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with sqlite3.connect(f'file:{f}?immutable=1', uri=True) as db:
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# todo assert increasing timestamp?
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datas = db.execute('SELECT * FROM data ORDER BY log_index')
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for _, tss, temp, hum, pres, dew in datas:
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# TODO is that utc???
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tot += 1
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# TODO FIXME is that utc???
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tss = tss.replace('Juli', 'Jul').replace('Aug.', 'Aug')
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dt = datetime.strptime(tss, '%Y-%b-%d %H:%M')
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if dt in emitted:
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continue
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emitted.add(dt)
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new += 1
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p = Measurement(
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dt=dt,
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temp=temp,
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# TODO use pressure and humidity as well
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)
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if p in points:
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continue
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points.add(p)
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# TODO make properly iterative?
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for p in sorted(points, key=lambda p: p.dt):
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yield p
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yield p
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logger.debug('%s: new %d/%d', f, new, tot)
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# logger.info('total items: %d', len(merged))
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# TODO assert frequency?
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# for k, v in merged.items():
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@ -71,9 +73,10 @@ def _iter_measurements(dbs) -> Iterable[Measurement]:
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# yield Point(dt=k, temp=v) # meh?
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# TODO does it even have to be a dict?
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# @dictify(key=lambda p: p.dt)
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def measurements(exports=_get_exports()):
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yield from _iter_measurements(exports)
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def stats():
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from ..common import stat
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return stat(measurements)
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def dataframe():
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@ -87,7 +90,7 @@ def dataframe():
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def main():
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ll = list(measurements(_get_exports()))
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ll = list(measurements())
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print(len(ll))
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