HPI/my/reddit/rexport.py

240 lines
6.8 KiB
Python

"""
Reddit data: saved items/comments/upvotes/etc.
"""
REQUIRES = [
'git+https://github.com/karlicoss/rexport',
]
from pathlib import Path
from my.core.common import Paths
from dataclasses import dataclass
from typing import Any
from my.config import reddit as uconfig
@dataclass
class reddit(uconfig):
'''
Uses [[https://github.com/karlicoss/rexport][rexport]] output.
'''
# path[s]/glob to the exported JSON data
export_path: Paths
from my.core.cfg import make_config, Attrs
# hmm, also nice thing about this is that migration is possible to test without the rest of the config?
def migration(attrs: Attrs) -> Attrs:
# new structure, take top-level config and extract 'rexport' class
# previously, 'rexport' key could be location of the rexport repo on disk
if 'rexport' in attrs and not isinstance(attrs['rexport'], (str, Path)):
ex: uconfig.rexport = attrs['rexport']
attrs['export_path'] = ex.export_path
else:
from my.core.warnings import high
high("""DEPRECATED! Please modify your reddit config to look like:
class reddit:
class rexport:
export_path: Paths = '/path/to/rexport/data'
""")
export_dir = 'export_dir'
if export_dir in attrs: # legacy name
attrs['export_path'] = attrs[export_dir]
high(f'"{export_dir}" is deprecated! Please use "export_path" instead."')
return attrs
config = make_config(reddit, migration=migration)
###
# TODO not sure about the laziness...
try:
from rexport import dal
except ModuleNotFoundError as e:
from my.core.compat import pre_pip_dal_handler
dal = pre_pip_dal_handler('rexport', e, config, requires=REQUIRES)
# TODO ugh. this would import too early
# but on the other hand we do want to bring the objects into the scope for easier imports, etc. ugh!
# ok, fair enough I suppose. It makes sense to configure something before using it. can always figure it out later..
# maybe, the config could dynamically detect change and reimport itself? dunno.
###
############################
from typing import List, Sequence, Mapping, Iterator, Any
from my.core.common import mcachew, get_files, LazyLogger, make_dict, Stats
logger = LazyLogger(__name__, level='info')
from pathlib import Path
def inputs() -> Sequence[Path]:
return get_files(config.export_path)
Uid = dal.Sid # str
Save = dal.Save
Comment = dal.Comment
Submission = dal.Submission
Upvote = dal.Upvote
def _dal() -> dal.DAL:
inp = list(inputs())
return dal.DAL(inp)
cache = mcachew(depends_on=inputs, logger=logger) # depends on inputs only
@cache
def saved() -> Iterator[Save]:
return _dal().saved()
@cache
def comments() -> Iterator[Comment]:
return _dal().comments()
@cache
def submissions() -> Iterator[Submission]:
return _dal().submissions()
@cache
def upvoted() -> Iterator[Upvote]:
return _dal().upvoted()
### the rest of the file is some elaborate attempt of restoring favorite/unfavorite times
from typing import Dict, Iterable, Iterator, NamedTuple
from functools import lru_cache
import pytz
import re
from datetime import datetime
from multiprocessing import Pool
# TODO hmm. apparently decompressing takes quite a bit of time...
class SaveWithDt(NamedTuple):
save: Save
backup_dt: datetime
def __getattr__(self, x):
return getattr(self.save, x)
# TODO for future events?
EventKind = SaveWithDt
class Event(NamedTuple):
dt: datetime
text: str
kind: EventKind
eid: str
title: str
url: str
@property
def cmp_key(self):
return (self.dt, (1 if 'unfavorited' in self.text else 0))
Url = str
def _get_bdate(bfile: Path) -> datetime:
RE = re.compile(r'reddit.(\d{14})')
stem = bfile.stem
stem = stem.replace('T', '').replace('Z', '') # adapt for arctee
match = RE.search(stem)
assert match is not None
bdt = pytz.utc.localize(datetime.strptime(match.group(1), "%Y%m%d%H%M%S"))
return bdt
def _get_state(bfile: Path) -> Dict[Uid, SaveWithDt]:
logger.debug('handling %s', bfile)
bdt = _get_bdate(bfile)
saves = [SaveWithDt(save, bdt) for save in dal.DAL([bfile]).saved()]
return make_dict(
sorted(saves, key=lambda p: p.save.created),
key=lambda s: s.save.sid,
)
# TODO hmm. think about it.. if we set default backups=inputs()
# it's called early so it ends up as a global variable that we can't monkey patch easily
@mcachew(lambda backups: backups)
def _get_events(backups: Sequence[Path], parallel: bool=True) -> Iterator[Event]:
# todo cachew: let it transform return type? so you don't have to write a wrapper for lists?
prev_saves: Mapping[Uid, SaveWithDt] = {}
# TODO suppress first batch??
# TODO for initial batch, treat event time as creation time
states: Iterable[Mapping[Uid, SaveWithDt]]
if parallel:
with Pool() as p:
states = p.map(_get_state, backups)
else:
# also make it lazy...
states = map(_get_state, backups)
# TODO mm, need to make that iterative too?
for i, (bfile, saves) in enumerate(zip(backups, states)):
bdt = _get_bdate(bfile)
first = i == 0
for key in set(prev_saves.keys()).symmetric_difference(set(saves.keys())):
ps = prev_saves.get(key, None)
if ps is not None:
# TODO use backup date, that is more precise...
# eh. I guess just take max and it will always be correct?
assert not first
yield Event(
dt=bdt, # TODO average wit ps.save_dt?
text="unfavorited",
kind=ps,
eid=f'unf-{ps.sid}',
url=ps.url,
title=ps.title,
)
else: # already in saves
s = saves[key]
last_saved = s.backup_dt
yield Event(
dt=s.created if first else last_saved,
text=f"favorited{' [initial]' if first else ''}",
kind=s,
eid=f'fav-{s.sid}',
url=s.url,
title=s.title,
)
prev_saves = saves
# TODO a bit awkward, favorited should compare lower than unfavorited?
@lru_cache(1)
def events(*args, **kwargs) -> List[Event]:
inp = inputs()
# 2.2s for 300 files without cachew
# 0.2s for 300 files with cachew
evit = _get_events(inp, *args, **kwargs) # type: ignore[call-arg]
# todo mypy is confused here and thinks it's iterable of Path? perhaps something to do with mcachew?
return list(sorted(evit, key=lambda e: e.cmp_key)) # type: ignore[attr-defined,arg-type]
def stats() -> Stats:
from my.core import stat
return {
**stat(saved ),
**stat(comments ),
**stat(submissions),
**stat(upvoted ),
}