start using kython.kcache

This commit is contained in:
Dima Gerasimov 2019-04-30 22:38:43 +01:00
parent 055cb1c373
commit 22333d5078
3 changed files with 28 additions and 256 deletions

View file

@ -12,6 +12,7 @@ import pytz
from kython import kompress
from kython.kcache import make_dbcache, mtime_hash
# pipe install geopy
@ -25,7 +26,6 @@ def get_logger():
TAKEOUTS_PATH = Path("/path/to/takeout")
CACHE_PATH = Path("/L/data/.cache/location.picklel")
Tag = str
@ -37,6 +37,8 @@ class Location(NamedTuple):
alt: Optional[float]
tag: Tag
dbcache = make_dbcache('/L/data/.cache/location.sqlite', hashf=mtime_hash, type_=Location)
def tagger(dt: datetime, point: geopy.Point) -> Tag:
TAGS = [
@ -48,7 +50,9 @@ def tagger(dt: datetime, point: geopy.Point) -> Tag:
else:
return "other"
def _load_locations(fo) -> Iterator[Location]:
# TODO careful, might not fit in glumov ram...
def _iter_locations_fo(fo) -> Iterator[Location]:
logger = get_logger()
total = 0
errors = 0
@ -84,32 +88,27 @@ def _load_locations(fo) -> Iterator[Location]:
# TODO hope they are sorted...
# TODO that could also serve as basis for tz provider
def load_locations() -> Iterator[Location]:
logger = get_logger()
last_takeout = max(TAKEOUTS_PATH.glob('takeout*.zip'))
@dbcache
def _iter_locations(path: Path) -> List[Location]:
limit = None
# TODO FIXME support archives
with path.open('r') as fo:
return list(islice(_iter_locations_fo(fo), 0, limit))
# TODO wonder if old takeouts could contribute as well??
with kompress.open(last_takeout, 'Takeout/Location History/Location History.json') as fo:
return _load_locations(fo)
# with kompress.open(last_takeout, 'Takeout/Location History/Location History.json') as fo:
# return _iter_locations_fo(fo)
# TODO shit.. should support iterator..
def iter_locations() -> List[Location]:
last_takeout = max(TAKEOUTS_PATH.glob('takeout*.zip'))
last_takeout = Path('/L/tmp/LocationHistory.json')
return _iter_locations(last_takeout)
def iter_locations(cached: bool=False) -> Iterator[Location]:
import sys
sys.path.append('/L/Dropbox/data/location_provider') # jeez.. otherwise it refuses to unpickle :(
import pickle as dill # type: ignore
if cached:
with CACHE_PATH.open('rb') as fo:
while True:
try:
# TODO shit really?? it can't load now, do I need to adjust pythonpath or something?...
pre = dill.load(fo)
yield Location(**pre._asdict()) # meh. but otherwise it's not serialising methods...
except EOFError:
break
else:
yield from load_locations()
def get_locations(cached: bool=False) -> Sequence[Location]:
return list(iter_locations(cached=cached))
@ -155,11 +154,9 @@ class Window:
# TOOD could cache groups too?... using 16% cpu is a bit annoying.. could also use some sliding window here
# TODO maybe if tag is none, we just don't care?
def get_groups(cached: bool=False) -> List[LocInterval]:
print("cached", cached)
all_locations = iter_locations(cached=cached)
def get_groups() -> List[LocInterval]:
all_locations = iter(iter_locations()) # TODO
locsi = Window(all_locations)
i = 0
groups: List[LocInterval] = []

View file

@ -4,15 +4,19 @@ import logging
from location import get_logger, get_locations, iter_locations, get_groups
from kython.klogging import setup_logzero
from kython.kcache import get_kcache_logger
def main():
logger = get_logger()
setup_logzero(logger, level=logging.INFO)
setup_logzero(get_kcache_logger(), level=logging.DEBUG)
if len(sys.argv) > 1:
cmd = sys.argv[1]
# TODO ok, update cache makes sense just to refresh in case of code changes...
if cmd == "update_cache":
from location import update_cache, get_locations
update_cache()
@ -20,7 +24,7 @@ def main():
else:
raise RuntimeError(f"Unknown command {cmd}")
else:
for p in get_groups(cached=True):
for p in get_groups():
print(p)
# TODO need datetime!

229
sql.py
View file

@ -1,229 +0,0 @@
#!/usr/bin/env python3
from pathlib import Path
import functools
from datetime import datetime
from itertools import islice
from typing import Type, NamedTuple, Union, Optional
import logging
from location import _load_locations, Location, get_logger
import sqlalchemy # type: ignore
import sqlalchemy as sa # type: ignore
from kython import ichunks
from kython.py37 import fromisoformat
# TODO move to some common thing?
class IsoDateTime(sqlalchemy.TypeDecorator):
# in theory could use something more effecient? e.g. blob for encoded datetime and tz?
# but practically, the difference seems to be pretty small, so perhaps fine for now
impl = sqlalchemy.types.String
# TODO optional?
def process_bind_param(self, value: Optional[datetime], dialect) -> Optional[str]:
if value is None:
return None
return value.isoformat()
def process_result_value(self, value: Optional[str], dialect) -> Optional[datetime]:
if value is None:
return None
return fromisoformat(value)
def _map_type(cls):
tmap = {
str: sa.String,
float: sa.Float,
datetime: IsoDateTime,
}
r = tmap.get(cls, None)
if r is not None:
return r
if getattr(cls, '__origin__', None) == Union:
elems = cls.__args__
elems = [e for e in elems if e != type(None)]
if len(elems) == 1:
return _map_type(elems[0]) # meh..
raise RuntimeError(f'Unexpected type {cls}')
# TODO to strart with, just assert utc when serializing, deserializing
# TODO how to use timestamp as key? just round it?
def make_schema(cls: Type[NamedTuple]): # TODO covariant?
res = []
for name, ann in cls.__annotations__.items():
res.append(sa.Column(name, _map_type(ann)))
return res
def get_table(db_path: Path, type_, name='table'):
db = sa.create_engine(f'sqlite:///{db_path}')
engine = db.connect() # TODO do I need to tear anything down??
meta = sa.MetaData(engine)
schema = make_schema(type_)
sa.Table(name, meta, *schema)
meta.create_all()
table = sa.table(name, *schema)
return engine, table
def cache_locs(source: Path, db_path: Path, limit=None):
engine, table = get_table(db_path=db_path, type_=Location)
with source.open('r') as fo:
# TODO fuck. do I really need to split myself??
# sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) too many SQL variables
# TODO count deprecated??
# print(engine.execute(table.count()).fetchone())
for chunk in ichunks(islice(_load_locations(fo), 0, limit), 10000):
engine.execute(table.insert().values(chunk))
# TODO maintain order during insertion?
def iter_db_locs(db_path: Path):
engine, table = get_table(db_path, type_=Location)
datas = engine.execute(table.select()).fetchall()
yield from (Location(**d) for d in datas)
def test(tmp_path):
tdir = Path(tmp_path)
tdb = tdir / 'test.sqlite'
test_limit = 100
test_src = Path('/L/tmp/LocationHistory.json')
# TODO meh, double loading, but for now fine
with test_src.open('r') as fo:
real_locs = list(islice(_load_locations(fo), 0, test_limit))
cache_locs(source=test_src, db_path=tdb, limit=test_limit)
cached_locs = list(iter_db_locs(tdb))
assert len(cached_locs) == test_limit
assert real_locs == cached_locs
from kython.ktyping import PathIsh
# TODO what if we want dynamic path??
# dbcache = make_dbcache('/L/tmp/test.db', hashf=lambda p: p) # TODO FIXME?
Hash = str
# TODO hash is a bit misleading
# TODO perhaps another table is the way to go...
# TODO careful about concurrent access?
def read_hash(db_path: Path) -> Optional[Hash]:
hash_file = db_path.with_suffix('.hash')
if not hash_file.exists():
return None
return hash_file.read_text()
# TODO not sure if there is any way to guarantee atomic reading....
# unless it happens automatically due to unlink logic?
# TODO need to know entry type?
# TODO or, we can just encode that in names. that way no need for atomic stuff
# TODO give a better name
class Alala:
def __init__(self, db_path: Path, type_) -> None:
self.db = sa.create_engine(f'sqlite:///{db_path}')
self.engine = self.db.connect() # TODO do I need to tear anything down??
self.meta = sa.MetaData(self.engine)
self.table_hash = sa.Table('hash' , self.meta, sa.Column('value', sa.types.String))
schema = make_schema(type_)
self.table_data = sa.Table('table', self.meta, *schema)
self.meta.create_all()
def get_dbcache_logger():
return logging.getLogger('dbcache')
# TODO ugh. there should be a nicer way to wrap that...
def make_dbcache(db_path: PathIsh, hashf, type_):
logger = get_dbcache_logger()
db_path = Path(db_path)
def dec(func):
@functools.wraps(func)
def wrapper(key):
# TODO FIXME make sure we have exclusive write lock
alala = Alala(db_path, type_)
engine = alala.engine
prev_hashes = engine.execute(alala.table_hash.select()).fetchall()
if len(prev_hashes) > 1:
raise RuntimeError(f'Multiple hashes! {prev_hashes}')
prev_hash: Optional[Hash]
if len(prev_hashes) == 0:
prev_hash = None
else:
prev_hash = prev_hashes[0][0] # TODO ugh, returns a tuple...
logger.debug('previous hash: %s', prev_hash)
h = hashf(key)
logger.debug('current hash: %s', h)
assert h is not None # just in case
with engine.begin() as transaction:
if h == prev_hash:
rows = engine.execute(alala.table_data.select()).fetchall()
return [type_(**row) for row in rows]
else:
datas = func(key)
if len(datas) > 0:
engine.execute(alala.table_data.insert().values(datas)) # TODO chunks??
# TODO FIXME insert and replace instead
engine.execute(alala.table_hash.delete())
engine.execute(alala.table_hash.insert().values([{'value': h}]))
return datas
return wrapper
# TODO FIXME engine is leaking??
return dec
def hashf(path: Path) -> Hash:
mt = int(path.stat().st_mtime)
return f'{path}.{mt}'
dbcache = make_dbcache('test.sqlite', hashf=hashf, type_=Location)
@dbcache
def _xxx_locations(path: Path):
with path.open('r') as fo:
return list(islice(_load_locations(fo), 0, 100))
def xxx_locations():
test_src = Path('/L/tmp/LocationHistory.json')
return _xxx_locations(test_src)
def main():
from kython import setup_logzero
setup_logzero(get_logger(), level=logging.DEBUG)
setup_logzero(get_dbcache_logger(), level=logging.DEBUG)
src_path = Path('hi')
db_path = Path('test.sqlite')
# if db_path.exists():
# db_path.unlink()
res = xxx_locations()
# new_wrapped = dbcache_worker(db_path=db_path, hashf=hashf, type_=Location, wrapped=wrapped)
# res = new_wrapped(src_path)
print(res)
# cache_locs(source=Path('/L/tmp/LocationHistory.json'), db_path=db_path)
# locs = iter_db_locs(db_path)
# print(len(list(locs)))
if __name__ == '__main__':
main()