zulip/zerver/lib/utils.py

195 lines
6.3 KiB
Python

# -*- coding: utf-8 -*-
from typing import Any, Callable, List, Optional, Sequence, TypeVar, Iterable, Set, Tuple
import base64
import errno
import hashlib
import heapq
import itertools
import os
import string
import sys
from time import sleep
from itertools import zip_longest
from django.conf import settings
T = TypeVar('T')
def statsd_key(val: Any, clean_periods: bool=False) -> str:
if not isinstance(val, str):
val = str(val)
if ':' in val:
val = val.split(':')[0]
val = val.replace('-', "_")
if clean_periods:
val = val.replace('.', '_')
return val
class StatsDWrapper:
"""Transparently either submit metrics to statsd
or do nothing without erroring out"""
# Backported support for gauge deltas
# as our statsd server supports them but supporting
# pystatsd is not released yet
def _our_gauge(self, stat: str, value: float, rate: float=1, delta: bool=False) -> None:
"""Set a gauge value."""
from django_statsd.clients import statsd
if delta:
value_str = '%+g|g' % (value,)
else:
value_str = '%g|g' % (value,)
statsd._send(stat, value_str, rate)
def __getattr__(self, name: str) -> Any:
# Hand off to statsd if we have it enabled
# otherwise do nothing
if name in ['timer', 'timing', 'incr', 'decr', 'gauge']:
if settings.STATSD_HOST != '':
from django_statsd.clients import statsd
if name == 'gauge':
return self._our_gauge
else:
return getattr(statsd, name)
else:
return lambda *args, **kwargs: None
raise AttributeError
statsd = StatsDWrapper()
# Runs the callback with slices of all_list of a given batch_size
def run_in_batches(all_list: Sequence[T],
batch_size: int,
callback: Callable[[Sequence[T]], None],
sleep_time: int=0,
logger: Optional[Callable[[str], None]]=None) -> None:
if len(all_list) == 0:
return
limit = (len(all_list) // batch_size) + 1
for i in range(limit):
start = i*batch_size
end = (i+1) * batch_size
if end >= len(all_list):
end = len(all_list)
batch = all_list[start:end]
if logger:
logger("Executing %s in batch %s of %s" % (end-start, i+1, limit))
callback(batch)
if i != limit - 1:
sleep(sleep_time)
def make_safe_digest(string: str,
hash_func: Callable[[bytes], Any]=hashlib.sha1) -> str:
"""
return a hex digest of `string`.
"""
# hashlib.sha1, md5, etc. expect bytes, so non-ASCII strings must
# be encoded.
return hash_func(string.encode('utf-8')).hexdigest()
def log_statsd_event(name: str) -> None:
"""
Sends a single event to statsd with the desired name and the current timestamp
This can be used to provide vertical lines in generated graphs,
for example when doing a prod deploy, bankruptcy request, or
other one-off events
Note that to draw this event as a vertical line in graphite
you can use the drawAsInfinite() command
"""
event_name = "events.%s" % (name,)
statsd.incr(event_name)
def generate_random_token(length: int) -> str:
return str(base64.b16encode(os.urandom(length // 2)).decode('utf-8').lower())
def generate_api_key() -> str:
choices = string.ascii_letters + string.digits
altchars = ''.join([choices[ord(os.urandom(1)) % 62] for _ in range(2)]).encode("utf-8")
api_key = base64.b64encode(os.urandom(24), altchars=altchars).decode("utf-8")
return api_key
def query_chunker(queries: List[Any],
id_collector: Optional[Set[int]]=None,
chunk_size: int=1000,
db_chunk_size: Optional[int]=None) -> Iterable[Any]:
'''
This merges one or more Django ascending-id queries into
a generator that returns chunks of chunk_size row objects
during each yield, preserving id order across all results..
Queries should satisfy these conditions:
- They should be Django filters.
- They should return Django objects with "id" attributes.
- They should be disjoint.
The generator also populates id_collector, which we use
internally to enforce unique ids, but which the caller
can pass in to us if they want the side effect of collecting
all ids.
'''
if db_chunk_size is None:
db_chunk_size = chunk_size // len(queries)
assert db_chunk_size >= 2
assert chunk_size >= 2
if id_collector is not None:
assert(len(id_collector) == 0)
else:
id_collector = set()
def chunkify(q: Any, i: int) -> Iterable[Tuple[int, int, Any]]:
q = q.order_by('id')
min_id = -1
while True:
assert db_chunk_size is not None # Hint for mypy, but also workaround for mypy bug #3442.
rows = list(q.filter(id__gt=min_id)[0:db_chunk_size])
if len(rows) == 0:
break
for row in rows:
yield (row.id, i, row)
min_id = rows[-1].id
iterators = [chunkify(q, i) for i, q in enumerate(queries)]
merged_query = heapq.merge(*iterators)
while True:
tup_chunk = list(itertools.islice(merged_query, 0, chunk_size))
if len(tup_chunk) == 0:
break
# Do duplicate-id management here.
tup_ids = set([tup[0] for tup in tup_chunk])
assert len(tup_ids) == len(tup_chunk)
assert len(tup_ids.intersection(id_collector)) == 0
id_collector.update(tup_ids)
yield [row for row_id, i, row in tup_chunk]
def split_by(array: List[Any], group_size: int, filler: Any) -> List[List[Any]]:
"""
Group elements into list of size `group_size` and fill empty cells with
`filler`. Recipe from https://docs.python.org/3/library/itertools.html
"""
args = [iter(array)] * group_size
return list(map(list, zip_longest(*args, fillvalue=filler)))
def is_remote_server(identifier: str) -> bool:
"""
This function can be used to identify the source of API auth
request. We can have two types of sources, Remote Zulip Servers
and UserProfiles.
"""
return "@" not in identifier