core: more generic functions to jsonify data, rescuetime: fix influxdb filling
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5 changed files with 65 additions and 32 deletions
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@ -16,7 +16,7 @@ from .core.error import Res, split_errors
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from my.config import rescuetime as config
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log = LazyLogger(__package__, level='info')
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log = LazyLogger(__name__, level='info')
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def inputs() -> Sequence[Path]:
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@ -80,25 +80,33 @@ def fake_data(rows: int=1000) -> Iterator[None]:
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# todo not sure if I want to keep these here? vvv
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# guess should move to core? or to 'ext' module, i.e. interfaces?
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# make automatic
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def fill_influxdb():
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def fill_influxdb() -> None:
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from .core.common import asdict
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from influxdb import InfluxDBClient # type: ignore
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client = InfluxDBClient()
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# client.delete_series(database='lastfm', measurement='phone')
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db = 'test'
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client.drop_database(db)
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client.create_database(db)
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# todo handle errors
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vit = (e for e in entries() if isinstance(e, dal.Entry))
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jsons = [{
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"measurement": 'phone',
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"tags": {},
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"time": str(e.dt),
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"fields": {"name": e.activity},
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} for e in vit]
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client.write_points(jsons, database=db) # TODO??
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db = 'db'
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measurement = __name__.replace('.', '_')
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client.delete_series(database=db, measurement=measurement)
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# client.drop_database(db)
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# todo create if not exists?
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# client.create_database(db)
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# todo handle errors.. not sure how? maybe add tag for 'error' and fill with emtpy data?
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vit = (e for e in entries() if isinstance(e, Entry))
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jsons = ({
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'measurement': measurement, # hmm, influx doesn't like dots?
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# hmm, so tags are autoindexed and might be faster?
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# not sure what's the big difference though
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# "fields are data and tags are metadata"
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'tags': {'activity': e.activity},
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'time': e.dt.isoformat(),
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'fields': {'duration_s': e.duration_s},
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# todo asdict(e),
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} for e in vit)
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# todo do we need to batch?
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client.write_points(jsons, database=db)
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# TODO lots of garbage in dir()? maybe need to del the imports...
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