def file_as_training_vectors(filename, gram_size):
worker_count = 8
with ProcessPoolExecutor(max_workers=worker_count) as exe:
itr = enumerate(file_as_posts(filename))
futures = []
for i in range(worker_count):
try:
idx, post = next(itr)
futures.append(exe.submit(post_to_vector, post, gram_size))
except StopIteration:
break # we've submitted all the tasks already!
while True:
done, not_done = concurrent.futures.wait(futures, return_when=concurrent.futures.FIRST_COMPLETED)
futures = []
for i in done:
yield from i.result()
try:
idx, post = next(itr)
futures.append(exe.submit(post_to_vector, post, gram_size))
except StopIteration:
# just wait it out
pass
futures.extend(not_done)
if len(futures) == 0:
return
def check_open_orders(self):
"""
Loop through the list of open orders in the Portfolio object.
For each executed order found, create a transaction and apply to the
Portfolio.
Returns
-------
list[Transaction]
"""
futures = []
for asset in self.open_orders:
exchange = self.exchanges[asset.exchange]
futures.extend([
self.event_loop.run_in_executor(
self.executor, self.get_transactions_for_order,
asset.symbol, exchange, order)
for order in self.open_orders[asset]
])
async_results = asyncio.gather(*futures, loop=self.event_loop)
return [
txn for txn in self.event_loop.run_until_complete(async_results)
if txn is not None
]
async def execute_async(start_time):
loop = asyncio.get_event_loop()
import concurrent.futures
import os
print(os.cpu_count())
executor = concurrent.futures.ThreadPoolExecutor()
print(executor._max_workers)
print()
futures = [
loop.run_in_executor(
None,
http_request,
start_time,
'http://example.org/'
)
for i in range(3)
]
futures.extend([loop.run_in_executor(
None,
execute_sql,
start_time,
"select * from users where name like :string ;",
{'string': "%ck"}
) for i in range(3)])
await asyncio.gather(*futures)
def main():
args = parse_args()
logger = logging.getLogger(config.LOGGER_NAME)
logger.addHandler(logging.StreamHandler(sys.stdout))
logger.setLevel(logging.DEBUG if args.verbose else logging.INFO)
logger.debug("VERBOSE MODE ON")
if args.output is not None:
logger.debug(f"Saving log to: {args.output}")
logger.addHandler(logging.FileHandler(args.output, encoding="utf-8", mode="w"))
today = datetime.utcnow()
start_date = (today - timedelta(days=args.max_days - 1)).date()
end_date = today.date()
logger.debug(f"[*] Query: {args.query}")
logger.debug(f"[*] Date range: {start_date}~{end_date}")
logger.debug(f"[*] Crawling targets: {', '.join(args.targets)}")
logger.debug("[*] Running crawlers...")
pool = concurrent.futures.ThreadPoolExecutor()
futures = []
for q in args.query:
crawling_targets = [target2crawler[target.lower()]() for target in args.targets]
futures.extend(
[
pool.submit(
lambda query, start_date, end_date, analyse, main_columns_only: c.run(
query=query,
start_date=start_date,
end_date=end_date,
analyse=analyse,
main_columns_only=main_columns_only,
),
q,
start_date,
end_date,
args.analyse,
not args.all_columns,
)
for c in crawling_targets
]
)
try:
for completed in concurrent.futures.as_completed(futures):
print(f"[+] Done - {completed.result()}")
except KeyboardInterrupt:
# https://gist.github.com/clchiou/f2608cbe54403edb0b13
pool._threads.clear()
concurrent.futures.thread._threads_queues.clear()
raise
pool.shutdown()
def getnewdata(self):
"""Get latest data from TaDo server and add to dataframe.
Uses multithreaded pool to get data simultaneously.
"""
with concurrent.futures.ThreadPoolExecutor(
max_workers=len(self.zones) + 1) as executor:
# Load the operations then wait for them all to complete
futures = [executor.submit(self.getweatherdata)]
futures.extend([
executor.submit(self.getzonedata, zone) for zone in self.zones
])
futures, _ = concurrent.futures.wait(futures, timeout=30)
return [future.result() for future in futures]
async def fuzz_domains(self, domains):
with concurrent.futures.ThreadPoolExecutor(
max_workers=self.threads) as executor:
_loop = asyncio.get_event_loop()
futures = []
for domain in domains:
ext = tldextract.extract(domain)
if ext.subdomain:
level = ext.subdomain.count('.') + 1
else:
level = 0
if level > int(self.max_level):
_debug_('{} level is more than max_level({})'
.format(domain, self.max_level))
continue
if level == 0:
futures.extend([
_loop.run_in_executor(
executor,
self.query_domain_arecord,
'.'.join([sub, domain]))
for sub in self.subs
])
else:
futures.extend([
_loop.run_in_executor(
executor,
self.query_domain_arecord,
'.'.join([nxt, domain]))
for nxt in self.nexts
])
sub_results = await asyncio.gather(*futures)
sub_results = list(filter(lambda _: len(_[1]) != 0, sub_results))
sub_domains = dict(sub_results).keys()
futures = [
_loop.run_in_executor(
executor,
self.analysis_wirdcard_domain,
sub_domain)
for sub_domain in sub_domains
]
sub_wd_results = await asyncio.gather(*futures)
sub_wd_results = list(filter(lambda _: not _[1], sub_wd_results))
return dict(sub_results), dict(sub_wd_results)
return futures
def do_work(dummy_file, work_input):
print("{}: {}".format(dummy_file, work_input))
print("{}: Doing work {}...".format(dummy_file, work_input))
print('process id:', os.getpid())
time.sleep(1)
return work_input * work_input
if __name__ == '__main__':
find_work_pool = ThreadPoolExecutor(max_workers=3)
# do_work_pool=[]
# for ele in range(0,3):
# do_work_pool.append(ProcessPoolExecutor(max_workers=2))
dummy_files = [1, 2, 3]
futures = []
for dummy_file in dummy_files:
futures.extend(
find_work_pool.submit(find_work_inputs, dummy_file).result())
# concurrent.futures.wait(futures)
for dummy_file, work_input, future in futures:
print("Result from file:{} input:{} is {}".format(
dummy_file, work_input, sum(future)))
celery.cache_policy_requests()
celery.cache_credential_authorization_mapping.apply_async(countdown=180)
else:
celery.cache_cloud_account_mapping()
accounts_d = async_to_sync(get_account_id_to_name_mapping)(force_sync=True)
default_celery_tasks.cache_application_information()
executor = ThreadPoolExecutor(max_workers=os.cpu_count())
futures = []
for account_id in accounts_d.keys():
futures.extend(
[
executor.submit(celery.cache_iam_resources_for_account, account_id),
executor.submit(celery.cache_s3_buckets_for_account, account_id),
executor.submit(celery.cache_sns_topics_for_account, account_id),
executor.submit(celery.cache_sqs_queues_for_account, account_id),
executor.submit(celery.cache_managed_policies_for_account, account_id),
executor.submit(
celery.cache_resources_from_aws_config_for_account, account_id
),
]
)
for future in concurrent.futures.as_completed(futures):
try:
data = future.result()
except Exception as exc:
print("%r generated an exception: %s" % (future, exc))
celery.cache_policies_table_details()
celery.cache_policy_requests()
celery.cache_credential_authorization_mapping()
# Forces writing config to S3
def main(time_limit, make_releases, main_only, debug, allow_unsafe):
"""Worker process for continuously building repodata for a maximum
number of TIME_LIMIT seconds.
"""
global DEBUG
DEBUG = debug
start_time = time.time()
# refresh at the start
refresh_github_token_and_client()
with timer(HEAD, "pulling repos"):
os.makedirs(WORKDIR, exist_ok=True)
if not os.path.exists("repodata-shards"):
_clone_repodata_shards()
if not os.path.exists(REPODATA_NAME):
_clone_repodata()
if not os.path.exists("conda-forge-repodata-patches-feedstock"):
_clone_and_init_repodata_patches()
with timer(HEAD, "loading local data"):
all_repodata, all_links = _load_current_data(make_releases, allow_unsafe)
all_channeldata = {}
all_patched_repodata = {}
while time.time() - start_time < time_limit:
__dt = time.time() - start_time
print("===================================================", flush=True)
print("===================================================", flush=True)
print(
"used %ds of %ds total - %ds remaining" % (
__dt, time_limit, time_limit - __dt
),
flush=True,
)
print("===================================================", flush=True)
print("===================================================", flush=True)
build_start_time = time.time()
refresh_github_token_and_client()
with timer(HEAD, "doing repodata products rebuild"), ThreadPoolExecutor(max_workers=8) as exec: # noqa
old_sha, new_sha, new_shards, removed_shards = _get_new_shards(
all_links["current-shas"].get("repodata-shards-sha", None)
)
# TODO force repatch if local data is inconsistent
old_patch_sha, new_patch_sha, patch_fns = _update_and_reimport_patch_fns(
all_links["current-shas"].get("repodata-patches-sha", None)
)
repatch_all_pkgs = old_patch_sha != new_patch_sha
utcnow = datetime.now().astimezone(pytz.UTC)
updated_data = set()
if (
make_releases
and
# None is a full rebuild, otherwise len > 0 means we have new ones
# to add
# we have to make a release if we need to repatch everything as well
(
new_shards is None
or len(new_shards) > 0
or removed_shards is None
or len(removed_shards) > 0
or repatch_all_pkgs
)
):
tag = utcnow.strftime("%Y.%m.%d.%H.%M.%S")
rel = get_repodata().create_git_tag_and_release(
tag,
"",
tag,
"",
_get_repodata_sha(),
"commit",
draft=True,
)
futures = []
else:
# do this to catch errors
futures = None
rel = None
for subdir in CONDA_FORGE_SUBIDRS:
try:
_rebuild_subdir(
subdir=subdir,
new_shards=new_shards,
removed_shards=removed_shards,
repatch_all_pkgs=repatch_all_pkgs,
all_repodata=all_repodata,
all_patched_repodata=all_patched_repodata,
all_links=all_links,
updated_data=updated_data,
make_releases=make_releases,
main_only=main_only,
patch_fns=patch_fns,
futures=futures,
rel=rel,
exec=exec,
)
except Exception:
if rel is not None and futures is not None:
for fn in list(all_links["serverdata"]):
if f"_{subdir}" in fn:
del all_links["serverdata"][fn]
# rebuild it all if we error
_rebuild_subdir(
subdir=subdir,
new_shards=None,
removed_shards=None,
repatch_all_pkgs=True,
all_repodata=all_repodata,
all_patched_repodata=all_patched_repodata,
all_links=all_links,
updated_data=updated_data,
make_releases=make_releases,
main_only=main_only,
patch_fns=patch_fns,
futures=futures,
rel=rel,
exec=exec,
)
all_links["current-shas"]["repodata-shards-sha"] = new_sha
all_links["current-shas"]["repodata-patches-sha"] = new_patch_sha
if updated_data and make_releases:
with timer(HEAD, "(re)building channel data"):
futures.extend(_build_channel_data(
all_channeldata,
all_links,
all_patched_repodata,
all_links["labels"],
updated_data,
rel,
exec,
make_releases=make_releases,
main_only=main_only,
))
if updated_data and make_releases:
with timer(HEAD, "waiting for repo/channel data uploads to finish"):
for fut in concurrent.futures.as_completed(futures):
fname, url = fut.result()
if fname not in all_links["serverdata"]:
all_links["serverdata"][fname] = []
all_links["serverdata"][fname].append(url)
if len(all_links["serverdata"][fname]) > 3:
all_links["serverdata"][fname] = \
all_links["serverdata"][fname][-3:]
futures = []
with timer(HEAD, "writing and uploading links"):
all_links["updated_at"] = utcnow.strftime("%Y-%m-%d %H:%M:%S %Z%z")
futures.extend(
_write_compress_and_start_upload(
all_links,
"links.json",
rel,
exec,
only_compress=True,
)
)
concurrent.futures.wait(futures)
with timer(HEAD, "publishing release", result=False):
rel.update_release(rel.title, rel.body, draft=False)
if make_releases:
with timer(HEAD, "deleting old releases"):
tags = delete_old_repodata_releases(all_links)
for tag in tags:
print(f"{HEAD}deleted release {tag}", flush=True)
dt = int(time.time() - build_start_time)
if dt < MIN_UPDATE_TIME:
print(
"REPO WORKER: waiting for %s seconds before "
"next update" % (MIN_UPDATE_TIME - dt),
flush=True,
)
time.sleep(MIN_UPDATE_TIME - dt)
if DEBUG:
with timer(HEAD, "dumping all data to JSON"):
with open(f"{WORKDIR}/all_repodata.json", "w") as fp:
json.dump(all_repodata, fp, indent=2, sort_keys=True)
with open(f"{WORKDIR}/all_patched_repodata.json", "w") as fp:
json.dump(all_patched_repodata, fp, indent=2, sort_keys=True)
with open(f"{WORKDIR}/all_links.json", "w") as fp:
json.dump(all_links, fp, indent=2, sort_keys=True)
with open(f"{WORKDIR}/all_channeldata.json", "w") as fp:
json.dump(all_channeldata, fp, indent=2, sort_keys=True)
def _rebuild_subdir(
*, subdir, new_shards, removed_shards, repatch_all_pkgs,
all_repodata, all_patched_repodata, all_links, updated_data,
make_releases, main_only, patch_fns, futures, rel, exec,
):
if new_shards is not None:
new_subdir_shards = [
k
for k in new_shards
if k.startswith(f"repodata-shards/shards/{subdir}/")
]
else:
# this is a sentinal that indicates a full rebuild
new_subdir_shards = None
if removed_shards is not None:
removed_subdir_shards = [
k
for k in removed_shards
if k.startswith(f"repodata-shards/shards/{subdir}/")
]
else:
# this is a sentinal that indicates a full rebuild
removed_subdir_shards = None
if subdir not in all_repodata:
all_repodata[subdir] = {}
if subdir not in all_patched_repodata:
all_patched_repodata[subdir] = {}
subdir_updated_data = set()
with timer(HEAD, "processing shards for subdir %s" % subdir):
if (
new_subdir_shards is None
or len(new_subdir_shards) > 0
or removed_subdir_shards is None
or len(removed_subdir_shards) > 0
):
with timer(HEAD, "making repodata", indent=1):
subdir_updated_data = _update_repodata_from_shards(
all_repodata,
all_links,
new_subdir_shards,
removed_subdir_shards,
subdir,
)
updated_data |= subdir_updated_data
all_labels = set(all_links["labels"])
all_labels |= set(
[label for label in all_patched_repodata[subdir]])
all_labels |= set(
[label for label in all_repodata[subdir]])
all_links["labels"] = sorted(all_labels)
if make_releases and (subdir_updated_data or repatch_all_pkgs):
with timer(HEAD, "patching and writing repodata", indent=1):
for label in all_links["labels"]:
if (
(subdir, label) not in updated_data
and not repatch_all_pkgs
):
continue
if main_only and label != "main":
continue
if label not in all_repodata[subdir]:
all_repodata[subdir][label] = \
_fetch_repodata(all_links, subdir, label)
if label not in all_patched_repodata[subdir]:
all_patched_repodata[subdir][label] = \
_fetch_patched_repodata(
all_links, subdir, label
)
if label == "broken":
all_patched_repodata[subdir][label] = copy.deepcopy(
all_repodata[subdir][label]
)
else:
_patch_repodata(
all_repodata[subdir][label],
all_patched_repodata[subdir][label],
subdir,
patch_fns,
do_all=repatch_all_pkgs,
)
futures.extend(_write_compress_and_start_upload(
all_patched_repodata[subdir][label],
f"repodata_{subdir}_{label}.json",
rel,
exec,
))
with timer(
HEAD, "building and writing current repodata", indent=1
):
for label in all_links["labels"]:
if (
(subdir, label) not in updated_data
and not repatch_all_pkgs
):
continue
if main_only and label != "main":
continue
if label not in all_patched_repodata[subdir]:
with timer(
HEAD,
f"fetching patched repodata for "
f"{label}/{subdir}",
indent=3,
):
all_patched_repodata[subdir][label] = \
_fetch_patched_repodata(
all_links, subdir, label
)
crd = build_current_repodata(
subdir,
all_patched_repodata[subdir][label],
)
futures.extend(_write_compress_and_start_upload(
crd,
f"current_repodata_{subdir}_{label}.json",
rel,
exec,
))
with timer(
HEAD, "writing repodata from packages", indent=1
):
for label in all_links["labels"]:
if (subdir, label) not in updated_data:
continue
if main_only and label != "main":
continue
futures.extend(_write_compress_and_start_upload(
all_repodata[subdir][label],
f"repodata_from_packages_{subdir}_{label}.json",
rel,
exec,
))
def main():
args = parse_args()
logging.basicConfig(level=getattr(logging, args.log_level.upper()))
# Load list of profiles from file.
#
# If file does not exist or list is empty, the profile list is initialized
# with the default profile directory path.
df_profiles = load_profiles_info(args.profiles_path)
drop_version_errors(df_profiles,
missing=False,
mismatch=True,
inplace=True)
# Save most recent list of profiles to disk.
with args.profiles_path.open('w') as output:
profiles_str = yaml.dump(
df_profiles[SAVED_COLUMNS].astype(str).to_dict('records'),
default_flow_style=False)
output.write(profiles_str)
# Look up major version of each profile.
df_profiles['major_version'] = df_profiles.path.map(profile_major_version)
# Perform the following tasks in the background:
#
# - Upgrade `microdrop-launcher` package
# - Cache latest `microdrop` package version
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
def _auto_upgrade():
process = sp.Popen(
[sys.executable, '-m', 'microdrop_launcher.auto_upgrade'])
return process.communicate()
def _cache_latest_microdrop_version():
process = sp.Popen(
[sys.executable, '-m', 'microdrop_launcher.microdrop_version'])
return process.communicate()
def _launch(args, df_profiles):
if args.default or (not args.no_auto
and df_profiles.shape[0] == 1):
# Launch MicroDrop with most recently used (or only available) profile.
return_code = launch_profile_row(df_profiles.iloc[0])
if return_code == 0:
df_profiles.used_timestamp[0] = str(dt.datetime.now())
else:
# Display dialog to manage profiles or launch a profile.
launch_dialog = LaunchDialog(df_profiles)
launch_dialog.run()
return_code = launch_dialog.return_code
df_profiles = launch_dialog.df_profiles
# Save most recent list of profiles to disk (most recently used first).
#
# List can be changed using dialog by:
# - Creating a new profile.
# - Importing a profile.
# - Updating used timestamp by launching a profile.
df_profiles = df_profiles.astype(str)
df_profiles.loc[df_profiles.used_timestamp == 'nan',
'used_timestamp'] = ''
df_profiles.sort_values('used_timestamp',
ascending=False,
inplace=True)
with args.profiles_path.open('w') as output:
profiles_str = yaml.dump(
df_profiles[SAVED_COLUMNS].to_dict('records'),
default_flow_style=False)
output.write(profiles_str)
return return_code
futures = []
if not args.no_upgrade:
upgrade_future = executor.submit(_auto_upgrade)
microdrop_version_future = \
executor.submit(_cache_latest_microdrop_version)
futures.extend([upgrade_future, microdrop_version_future])
launch_future = executor.submit(_launch, args, df_profiles)
futures.append(launch_future)
concurrent.futures.wait(futures)
return launch_future.result()
