core/influxdb: add main method to create influx measurement and fill with values

allows running something like

    python3 -m my.core.influxdb populate my.zotero

my/core/influxdb.py

@@ -15,7 +15,10 @@ class config:
     db = 'db'
 
 
-def fill(it: Iterable[Any], *, measurement: str, reset: bool=False, dt_col: str='dt') -> None:
+RESET_DEFAULT = False
+
+
+def fill(it: Iterable[Any], *, measurement: str, reset: bool=RESET_DEFAULT, dt_col: str='dt') -> None:
     # todo infer dt column automatically, reuse in stat?
     # it doesn't like dots, ends up some syntax error?
     measurement = measurement.replace('.', '_')
@@ -30,6 +33,7 @@ def fill(it: Iterable[Any], *, measurement: str, reset: bool=False, dt_col: str=
 
     # todo should be it be env variable?
     if reset:
+        logger.warning('deleting measurements: %s:%s', db, measurement)
         client.delete_series(database=db, measurement=measurement)
 
     # TODO need to take schema here...
@@ -79,14 +83,18 @@ def fill(it: Iterable[Any], *, measurement: str, reset: bool=False, dt_col: str=
     from more_itertools import chunked
     # "The optimal batch size is 5000 lines of line protocol."
     # some chunking is def necessary, otherwise it fails
+    inserted = 0
     for chi in chunked(dit(), n=5000):
         chl = list(chi)
+        inserted += len(chl)
         logger.debug('writing next chunk %s', chl[-1])
         client.write_points(chl, database=db)
+
+    logger.info('inserted %d points', inserted)
     # todo "Specify timestamp precision when writing to InfluxDB."?
 
 
-def magic_fill(it, *, name: Optional[str]=None) -> None:
+def magic_fill(it, *, name: Optional[str]=None, reset: bool=RESET_DEFAULT) -> None:
     if name is None:
         assert callable(it) # generators have no name/module
         name = f'{it.__module__}:{it.__name__}'
@@ -112,4 +120,31 @@ def magic_fill(it, *, name: Optional[str]=None) -> None:
     dtex = RuntimeError(f'expected single datetime field. schema: {schema}')
     dtf = one((f for f, t in schema.items() if t == datetime), too_short=dtex, too_long=dtex)
 
-    fill(it, measurement=name, reset=True, dt_col=dtf)
+    fill(it, measurement=name, reset=reset, dt_col=dtf)
+
+
+import click
+
+@click.group()
+def main() -> None:
+    pass
+
+
+@main.command(name='populate', short_help='populate influxdb')
+@click.option('--reset', is_flag=True, help='Reset Influx measurements before inserting', show_default=True)
+@click.argument('MODULE', type=str, required=True)
+def populate(module: str, reset: bool) -> None:
+    from .stats import guess_data_providers
+    providers = guess_data_providers(module)
+    # meh.. encapsulate in guess_data_providers?
+    if 'inputs' in providers:
+        del providers['inputs']
+    # todo could do interactive thing? same way as in hpi query
+    [(k, f)] = providers.items()
+    magic_fill(f, reset=reset)
+
+
+# todo later just add to hpi main?
+# not sure if want to couple
+if __name__ == '__main__':
+    main()