def download_photos(meta_path):
data_dir = os.path.dirname(meta_path)
photo_dir = os.path.join(data_dir, 'photos')
os.makedirs(photo_dir, exist_ok=True)
try:
print(f'## Read {meta_path}')
df = pd.read_json(os.path.join(data_dir, 'photos.json'), orient='records', lines=True)
except:
print('## Please first running "data_process.py" to generate "photos.json"!!!')
return
print(f'## Start to download pictures and save them into {photo_dir}')
pool = ThreadPoolExecutor()
tasks = []
for name, url in zip(df['photo_id'], df['imUrl']):
path = os.path.join(photo_dir, name + '.jpg')
if not os.path.exists(path) or not is_valid_jpg(path):
task = pool.submit(download_photo, url, path)
tasks.append(task)
failed = []
for i, task in enumerate(as_completed(tasks)):
res, url, path = task.result()
if not res:
failed.append((url, path))
print(f'## Tried {i}/{len(tasks)} photos!', end='\r', flush=True)
pool.shutdown()
for url, path in failed:
print(f'## Failed to download {url} to {path}')
print(f'## {len(tasks) - len(failed)} images were downloaded successfully to {photo_dir}!')
def add_services_status(self):
res = {}
path = config_path
if path.startswith("\\\\?\\"):
path = path.replace("\\\\?\\", "")
connection_checker = ConnectionCheck(logger)
pool = ThreadPoolExecutor(4)
jobs = {}
for root, dirs, files in os.walk(path):
for file in files:
if file[-4:] == ".ini":
try:
config = configparser.ConfigParser()
config.read(os.path.join(path, file))
defaults = config['tunnel']
remote_host = defaults['remote_host']
remote_port = int(defaults.get('remote_port'))
tunnel_name = defaults.get(
'tunnel_name', realpath(file))
res[tunnel_name] = {
'remote_host': remote_host,
'remote_port': remote_port
}
jobs[tunnel_name] = pool.submit(
connection_checker.test_connection,
tunnel_name, remote_host, remote_port)
except Exception as e:
logger.exception(
"Error getting status for %s" % (file, ))
continue
for name, job_future in jobs.items():
res[name]['status'] = job_future.result()
pool.shutdown()
return res
def execute_test_unsafe(poll_config: NewPollConfiguration, count: int):
init_store()
# startup the pool
workers = round(max(math.log(count), 1))
logger.debug(f'Creating poll with {workers}')
executor = ThreadPoolExecutor(workers)
# TODO maybe add some sleep between each send?
fs = [executor.submit(send_new_poll, poll_config) for _ in range(count)]
logger.debug('Waiting on tasks to finish')
# wait for all remaining polls to be delivered
futures.wait(fs, timeout=count * 1.5)
logger.debug('Waiting on polls to be received')
# wait for all remaining polls to be delivered
sleep_trash_hold = min(int(count * 1), 60)
logger.info(
f'New Execute Execution stopped - waiting max threshold {sleep_trash_hold}.'
)
time.sleep(sleep_trash_hold)
logger.info('Finalizing test.')
release_store()
# maybe send some more meaningful results
RomanClient(poll_config.roman_url).send_text(token=poll_config.token,
text='Execution finished.')
# delete pool
executor.shutdown()
def upload_files(files, s3_path):
executor = ThreadPoolExecutor(max_workers=32)
for i,file_path in enumerate(files):
executor.submit(upload_s3_file, file_path, s3_path)
if i%100==0:
print(f"{i}\t{file_path}")
executor.shutdown(wait=True)
def preprocess(data_type,
img_dir,
geojson_dir,
rgb_tg,
mask_tg,
num_workers=8):
pool = ThreadPoolExecutor(max_workers=num_workers)
re_img_index = re.compile("img\d+")
re_pat = re.compile("(.*?)img\d+")
# building_pat = re_pat.search(os.listdir(Path(geojson_dir) / "buildings")[0]).group(1)
pat = re_pat.search(os.listdir(Path(geojson_dir))[0]).group(1)
for f in os.listdir(img_dir):
img_index = re_img_index.search(f).group(0)
geojson = Path(geojson_dir) / (pat + img_index + ".geojson")
def pool_wrapper(p1, p2, p3, p4):
if data_type == "building":
thread = GeoLabelUtil.BuildingRenderThread(p1, p2, p3, p4)
elif data_type == "road":
thread = GeoLabelUtil.RoadRenderThread(p1, p2, p3, p4)
else:
raise NotImplementedError("Not Implemented Data Type: " +
data_type)
thread.run()
# thread.start()
pool.submit(pool_wrapper,
Path(img_dir) / f,
Path(rgb_tg) / (img_index + ".png"), geojson,
Path(mask_tg) / (img_index + ".png"))
pool.shutdown(wait=True)
def get_content(path):
global CHUNK_SZ, dd
dic = greet_server(path)
dd = dic
other = ulta_dic(dic)
offset_mgr.cache[path] = (dic, other)
sww = time.clock()
initialize(dic, 0)
print("To initialize:", time.clock() - sww)
total_sz = other.iloc[len(other) - 1]
total_ch = math.ceil(total_sz / CHUNK_SZ)
li = list(range(total_ch))
random.shuffle(li)
pool = ThreadPoolExecutor(max_workers=8)
for i in li:
future = pool.submit(get_chunk, path, i, dic)
"""for f in fu:
data=f.result()
place_chunk(path,fu[f],data,dic)
"""
pool.shutdown(wait=True)
print("Total time:", time.clock() - sww)
def post(self):
logger.info("PingList")
args = parser.parse_args()
db = DB()
host_id = args['host_id']
cipher = args['cipher']
state, result = db.select('host',
"where data -> '$.id'='%s'" % host_id)
minion_id = result[0]['minion_id']
logger.info('minion_id:' + minion_id)
product_id = result[0]['product_id']
salt_api = salt_api_for_product(product_id)
state, targets = db.select('target',
"where data -> '$.host_id'='%s'" % host_id)
targets_not = []
thread_pool = ThreadPoolExecutor(max_workers=10,
thread_name_prefix="target_")
futures = []
for target in targets:
future = thread_pool.submit(pingTarget, target, minion_id,
salt_api, cipher)
futures.append(future)
thread_pool.shutdown(wait=True)
for future in futures:
result = future.result()
logger.info(str(result['status']))
if str(result['status']).__contains__("Timeout") | str(
result['status']).__contains__("Unknown"):
targets_not.append(result["target"])
return {"status": True, "message": '配置发送成功', "data": targets_not}, 200
def _upload_files_in_parallel(self, file_metas):
"""Uploads files in parallel.
Args:
file_metas: List of metadata for files to be uploaded.
"""
idx = 0
len_file_metas = len(file_metas)
while idx < len_file_metas:
end_of_idx = idx + self._parallel if \
idx + self._parallel <= len_file_metas else \
len_file_metas
logger.debug('uploading files idx: {}/{}'.format(
idx + 1, end_of_idx))
target_meta = file_metas[idx:end_of_idx]
while True:
pool = ThreadPoolExecutor(len(target_meta))
results = list(
pool.map(SnowflakeFileTransferAgent.upload_one_file,
target_meta))
pool.shutdown()
# need renew AWS token?
retry_meta = []
for result_meta in results:
if result_meta['result_status'] in [
ResultStatus.RENEW_TOKEN,
ResultStatus.RENEW_PRESIGNED_URL
]:
retry_meta.append(result_meta)
else:
self._results.append(result_meta)
if len(retry_meta) == 0:
# no new AWS token is required
break
if any([
result_meta['result_status'] ==
ResultStatus.RENEW_TOKEN for result_meta in results
]):
client = self.renew_expired_client()
for result_meta in retry_meta:
result_meta['client'] = client
if end_of_idx < len_file_metas:
for idx0 in range(idx + self._parallel,
len_file_metas):
file_metas[idx0]['client'] = client
if any([
result_meta['result_status'] ==
ResultStatus.RENEW_PRESIGNED_URL
for result_meta in results
]):
self._update_file_metas_with_presigned_url()
target_meta = retry_meta
if end_of_idx == len_file_metas:
break
idx += self._parallel
def testWithStores(self):
# store_opts2 = {"store_type": StoreTypes.ROLLPAIR_QUEUE, "capacity": 100}
store_opts2 = {"store_type": StoreTypes.ROLLPAIR_QUEUE}
rp = self.ctx.load("ns1", "n1")
rp_q = self.ctx.load("ns1", "n2", store_opts2)
rp.put_all([("k1", "v1"), ("k2", "v2")])
def func_asyn(partitions):
import time
part1 = partitions[0]
serder1 = create_serdes(part1._store_locator._serdes)
with create_adapter(part1) as db1:
for i in range(100):
db1.put(serder1.serialize("a" + str(i)))
time.sleep(0.1)
def func_syn(partitions):
part1, part2 = partitions
serder1 = create_serdes(part1._store_locator._serdes)
serder2 = create_serdes(part2._store_locator._serdes)
with create_adapter(part1) as db1, create_adapter(part2) as db2:
for i in range(100):
db1.put(serder1.serialize("q" + str(i)), db2.get())
pool = ThreadPoolExecutor()
pool.submit(rp_q.with_stores, func_asyn)
rp.with_stores(func_syn, [rp_q])
print(list(rp.get_all()))
pool.shutdown()
def multiplyKaratsubaParallel(args) -> Polynomial:
depth = args[0]
A = args[1]
B = args[2]
if depth > 4:
return PolynomialOperations.multiplySequencially(A, B)
if A.n < 2 or B.n < 2:
return PolynomialOperations.multiplySequencially(A, B)
m = int(max(A.n, B.n) / 2)
lowA = Polynomial(len(A.coefficients[:m]), A.coefficients[:m])
highA = Polynomial(len(A.coefficients[m:]), A.coefficients[m:])
lowB = Polynomial(len(B.coefficients[:m]), B.coefficients[:m])
highB = Polynomial(len(B.coefficients[m:]), B.coefficients[m:])
karaPool = ThreadPoolExecutor(mp.cpu_count())
futureResult1 = karaPool.submit(PolynomialOperations.multiplyKaratsubaParallel, ([depth+1, lowA, lowB]))
futureResult2 = karaPool.submit(PolynomialOperations.multiplyKaratsubaParallel, ([depth+1, PolynomialOperations.add(lowA, highA), PolynomialOperations.add(lowB, highB)]))
futureResult3 = karaPool.submit(PolynomialOperations.multiplyKaratsubaParallel, ([depth+1, highA, highB]))
karaPool.shutdown(wait=True)
result1 = futureResult1.result()
result2 = futureResult2.result()
result3 = futureResult3.result()
r1 = PolynomialOperations.shift(result3, 2 * m)
r2 = PolynomialOperations.shift(
PolynomialOperations.subtract(PolynomialOperations.subtract(result2, result3), result1), m)
return PolynomialOperations.add(PolynomialOperations.add(r1, r2), result1)
def prepareServer(RequestHandlerClass, pipe, threads, timeout):
'''
Prepare in a process the request handling.
'''
def process(request, address):
RequestHandlerClass(request, address, None)
try:
request.shutdown(socket.SHUT_WR)
except socket.error:
pass # some platforms may raise ENOTCONN here
request.close()
pool = ThreadPoolExecutor(threads)
while True:
if not pipe.poll(timeout): break
else:
data = pipe.recv()
if data is None: break
elif data is True: continue
requestfd, address = data
request = socket.fromfd(rebuild_handle(requestfd), socket.AF_INET,
socket.SOCK_STREAM)
pool.submit(process, request, address)
pool.shutdown(False)
def assemble_python_lambdas(bundle_name, project_path):
project_base_folder = os.path.basename(os.path.normpath(project_path))
project_abs_path = build_path(CONFIG.project_path, project_path)
_LOG.info('Going to process python project by path: {0}'.format(
project_abs_path))
target_folder = build_path(CONFIG.project_path, ARTIFACTS_FOLDER,
bundle_name)
_LOG.debug('Target directory: {0}'.format(target_folder))
executor = ThreadPoolExecutor(max_workers=5)
futures = []
for root, sub_dirs, files in os.walk(project_abs_path):
for item in files:
if item.endswith(LAMBDA_CONFIG_FILE_NAME):
_LOG.info('Going to build artifact in: {0}'.format(root))
arg = {
'item': item,
'project_base_folder': project_base_folder,
'project_path': project_path,
'root': root,
'target_folder': target_folder
}
futures.append(executor.submit(_build_python_artifact, arg))
concurrent.futures.wait(futures, return_when=ALL_COMPLETED)
executor.shutdown()
_LOG.info('Python project was processed successfully')
def run_generators(task_generators: List[BaseSpiderTaskGenerator],
item_pool_workers: int = 32,
retries: int = 5):
g_pool = ThreadPoolExecutor(max_workers=len(task_generators))
i_pool = ThreadPoolExecutor(max_workers=item_pool_workers)
def retry_and_handle_exception(func: Callable):
def wrapper():
for i in range(retries):
try:
func()
break
except Exception as ex:
log.error(f"Error while executing task (retries={i}).",
exc_info=ex)
return wrapper
def submit_all_items(stg: BaseSpiderTaskGenerator):
def wrapper():
try:
for sub_task in stg.generate():
i_pool.submit(retry_and_handle_exception(sub_task))
except Exception as ex:
log.error("Error while generating tasks.", exc_info=ex)
return wrapper
for g in task_generators:
g_pool.submit(submit_all_items(g))
log.info("All generators started.")
g_pool.shutdown(wait=True)
log.info("All generators terminated.")
i_pool.shutdown(wait=True)
log.info("All tasks finished.")
class ProcessingTimesCollector:
def __init__(self):
self._executor = ThreadPoolExecutor(max_workers=1)
self._times_map = {}
def _add_times(self, times):
for k, v in times.items():
try:
agg = self._times_map[k]
except KeyError:
agg = TimerStatsAggregator()
self._times_map[k] = agg
agg.add_time(v)
def add_times(self, times):
self._executor.submit(self._add_times, times)
def _get_aggregates(self, prefix):
return {
identifier: stats.finalize()
for identifier, stats in self._times_map.items()
if identifier.startswith(prefix)
}
def get_aggregates(self, identifier=None) -> Dict[str, TimerStats]:
future = self._executor.submit(self._get_aggregates, identifier or '')
return future.result()
def close(self):
self._executor.shutdown(wait=True)
class SourcesMatcher:
def __init__(self,
source_a: DataLoader,
source_b: DataLoader,
matcher: CompanyMatcher = None,
worker_amount: int = 10) -> None:
"""
Create matches between two companies data sources asynchronously.
:param source_a: A generator of companies from the first data source
:param source_b: A generator of companies from the second data source
"""
super().__init__()
self.source_a = source_a
self.source_b = source_b
self.pool = ThreadPoolExecutor(max_workers=worker_amount)
self.matcher = CompanyMatcher() if matcher is None else matcher
def compare(self) -> Generator[Future, None, None]:
"""Compare all data sources and returns the result as a list of
futures CompanyMatch.
:return: A Generator containing Futures of CompanyMatch.
"""
for company_a in self.source_a.load():
for company_b in self.source_b.load():
yield self.pool.submit(self.matcher.match, company_a,
company_b)
def stop(self):
"""Stop the matcher and all associated operations."""
self.pool.shutdown()
def crawl_single_kind(self, kind='basketball'):
print("GET: KIND = ", kind)
# 爬取页面，找到页面中各个鞋的类别的页面
url = 'http://www.shihuo.cn/' + kind + '/list?page_size=60&page=1'
response = requests.get(url, headers=self.header)
html = response.text
# 首先找到总页面数
start = html.find('var totalPage = parseInt(') + len('var totalPage = parseInt(')
end = html.find(')', start)
page_nums = math.ceil(float(html[start:end]))
# print(page_nums)
# 循环找到全部下级链接
links = []
for page_num in range(page_nums):
url = 'http://www.shihuo.cn/' + kind + '/list?page_size=60&page=' + str(page_num)
response = requests.get(url, headers=self.header)
html = response.text
soup = BeautifulSoup(html, "lxml")
# print(soup.prettify())
link_class = soup.select('#js_hover li .imgs-area .link ')
for item in link_class:
links.append('http:' + item['href'])
thread_pool = ThreadPoolExecutor(8)
for link in links:
thread_pool.submit(self.crawl_all_color_for_shoes, link)
thread_pool.shutdown(wait=True)
class ThreadPool(object):
"""
线程池
"""
def __init__(self):
# 线程池
thread_num = settings.THREAD_POOL_EXECUTOR_NUM
self.executor = ThreadPoolExecutor(thread_num)
# 用于存储每个项目批量任务的期程
self.future_dict = {}
# 全局锁
self.lock = threading.Lock()
logger.info("Init thread pool ok.")
# 检查某个项目是否有正在运行的批量任务
def is_project_thread_running(self, project_id):
future = self.future_dict.get(project_id, None)
if future and future.running():
# 存在正在运行的批量任务
return True
return False
# 展示所有的异步任务
def check_future(self):
data = {}
for project_id, future in self.future_dict.items():
data[project_id] = future.running()
return data
def __del__(self):
self.executor.shutdown()
logger.info("Thread pool closed.")
class DummyAsyncReader(PluginAsyncMessageReader):
def __init__(self, params):
self._params = params
self._executor = None
self._reader_executor = None
self._on_message = None
self._on_failure = None
self._closed = True
def open(self):
self._closed = False
self._reader_executor = ThreadPoolExecutor(max_workers=1)
self._reader_executor.submit(self._read_messages)
self._executor = ThreadPoolExecutor()
def close(self):
self._closed = True
if self._reader_executor is not None:
self._reader_executor.shutdown()
self._reader_executor = None
if self._executor is not None:
self._executor.shutdown()
self._executor = None
def metrics(self):
return "this is a dummy metrics"
def reset_metrics(self):
pass
def _read_messages(self):
topics = self._params.get("topics")
if type(topics) != list:
topics = [topics]
while not self._closed:
for topic in topics:
try:
value = qread(topic, timeout=0.1)
raw = {"topic": topic, "value": value}
self._executor.submit(self._on_message, value, topic, raw)
except Empty:
continue
except Exception as e:
self._executor.submit(self._on_failure, e)
@property
def on_message(self):
return self._on_message
@on_message.setter
def on_message(self, on_message):
self._on_message = on_message
@property
def on_failure(self):
return self._on_failure
@on_failure.setter
def on_failure(self, on_failure):
self._on_failure = on_failure
def ctreate_ThreadPool(self):
user_phone = request.form.get('userPhone')
user_name = request.form.get('userName')
# t = request.form.get('uploadTime')
t = '2021'
desc = request.form.get('imageDesc')
theme = request.form.get('imageTitle')
number = request.form.get('imageCount')
user = wx_user.query.filter(
wx_user.phone == user_phone).first() #获取用户名
user_id = user.id #获取用户ID
print(user_id)
number = int(number)
d = Data_deal(user_id, number, desc, theme)
d.update_info()
threadPool = ThreadPoolExecutor(max_workers=number,
thread_name_prefix="pro") # 根据用户上传的文件
# 一个用户来访问就会开一个线程，然后根据他传过来的图片数量，开启线程池读取文件
for i in range(number):
future = threadPool.submit(self.re(user_name, user_id,
t)) # j将线程提交到线程池
threadPool.shutdown()
#返回信息给客户端图片接收完毕
for j in r.scan_iter('imgs*'):
r.delete(j)
for k in r.scan_iter('upload_img*'):
r.delete(k)
def multi_test(self):
# using thread pool to improve testing speed
t = ThreadPoolExecutor(10)
print('testing proxy, it will take several minutes......')
for proxy in self.proxy_lis:
t.submit(self.tes_proxy, proxy).add_done_callback(self.save_valid_proxy_lis)
t.shutdown()
print(f'fetch {self.p_count} valid proxies!')
def download_articles_from(titles_list):
crawler = Crawler()
print("Starting download")
pool = ThreadPoolExecutor(max_workers=5)
for title in titles_list:
pool.submit(crawler.search, title)
pool.shutdown(wait=True)
crawler.write_fails()
class AIOReaderWriter(Handler):
""" AIO读写工作线程。
为了避免IO的文件读写阻塞影响下载工作线程，该处理器实现异步文件IO读写方法
负责工作：
1. 管理IO读写线程
"""
name = 'aio'
def __init__(self):
self._executor = None
self._writers = set()
async def prepare(self):
self._executor = ThreadPoolExecutor(
max_workers=1,
thread_name_prefix=f'BufferWriter {self.parent.file.name}')
@asynccontextmanager
async def open(self, file, mode='r', *args, **kwargs):
""" 异步打开文件。
Args:
file: 参见io.open()方法参数file
mode: 参见io.open()方法参数mode
args: 参见io.open()方法参数的列表参数
kwargs: 参见io.open()方法参数字典参数
Returns:
异步文件对象AsyncIOFile，对耗时IO文件操作进行异步定义。
"""
def async_open():
return open(file, mode, *args, **kwargs)
executor = self._executor
assert executor
loop = asyncio.get_running_loop()
fd = await loop.run_in_executor(executor, async_open)
aiofile = AIOFile(executor, fd, loop=loop)
self._writers.add(aiofile)
yield aiofile
# 关闭文件
await loop.run_in_executor(executor, fd.close)
self._writers.remove(aiofile)
async def run(self):
pass
async def close(self):
for handler in h.iter_all():
if handler != self:
await handler.join()
self._executor.shutdown(False)
async def pause(self):
pass
def test_concurrent_insert(conn_cnx, db_parameters):
"""Concurrent insert tests. Inserts block on the one that's running."""
number_of_threads = 22 # change this to increase the concurrency
expected_success_runs = number_of_threads - 1
cnx_array = []
try:
with conn_cnx() as cnx:
cnx.cursor().execute("""
create or replace warehouse {}
warehouse_type=standard
warehouse_size=small
""".format(db_parameters['name_wh']))
sql = """
create or replace table {name} (c1 integer, c2 string)
""".format(name=db_parameters['name'])
cnx.cursor().execute(sql)
for i in range(number_of_threads):
cnx_array.append({
'host': db_parameters['host'],
'port': db_parameters['port'],
'user': db_parameters['user'],
'password': db_parameters['password'],
'account': db_parameters['account'],
'database': db_parameters['database'],
'schema': db_parameters['schema'],
'table': db_parameters['name'],
'idx': str(i),
'warehouse': db_parameters['name_wh']
})
pool = ThreadPoolExecutor(number_of_threads)
results = list(pool.map(
_concurrent_insert,
cnx_array))
pool.shutdown()
success = 0
for record in results:
success += 1 if record['success'] else 0
# 21 threads or more
assert success >= expected_success_runs, "Number of success run"
c = cnx.cursor()
sql = "select * from {name} order by 1".format(
name=db_parameters['name'])
c.execute(sql)
for rec in c:
logger.debug(rec)
c.close()
finally:
with conn_cnx() as cnx:
cnx.cursor().execute(
"drop table if exists {}".format(db_parameters['name']))
cnx.cursor().execute(
"drop warehouse if exists {}".format(db_parameters['name_wh']))
def startup():
while True:
# 开启线程池
pool = ThreadPoolExecutor(max_workers=20)
for i in range(20):
# 多线程运行检查函数
pool.submit(GetProxyIP)
# 回收线程池
pool.shutdown()
class ScenarioNormal(ScenarioContainerBase):
def __init__(self, image: ChainImage, behaviour_type, user_count):
super().__init__(image)
self.behaviour_type = behaviour_type # TODO: make enum
self.containers: Dict[str, Optional[Container]] = dict(
(secrets.token_hex(8), None) for _ in range(user_count))
self.logger = {}
self.wait_times = []
self.thread_pool = ThreadPoolExecutor(max_workers=user_count + 1)
if self.to_stdin:
self.log_threads = []
def generate_behaviours(self, recording_time):
self.wait_times = get_sampling_method(self.behaviour_type).generate_wait_times(len(self.containers),
recording_time)
def start_containers(self):
for k in self.containers.keys():
args = format_command(self.image.init_args)
self.containers[k] = run_image(self.image.name, network=self.network, name=k, command=args)
self.logger[k] = log.get_logger(f"[NORMAL] {k}", self.queue)
Collector().add_container(k, "normal", get_ip_address(self.containers[k]))
def start_simulation(self):
for i, name in enumerate(self.containers):
if self.to_stdin:
t = Thread(target=show_logs, args=(self.containers[name], self.logger[name]))
t.start()
self.log_threads.append(t)
self.thread_pool.submit(self._simulate_container, self.wait_times[i], name)
return dict(zip(self.containers.keys(), self.wait_times))
def teardown(self):
for _, container in self.containers.items():
container.remove(force=True)
for t in self.log_threads:
t.join()
self.thread_pool.shutdown(wait=True)
def _simulate_container(self, wait_times, name):
socket = None
if self.to_stdin:
socket = self.containers[name].attach_socket(params={'stdin': 1, 'stream': 1})
socket._writing = True
for wt in wait_times:
time.sleep(wt)
for command in self.image.commands:
cmd = format_command(command.command)
if command.stdin:
try:
socket.write(cmd.encode() + b"\n")
except:
pass
else:
_, out = self.containers[name].exec_run(cmd)
for line in out.decode("utf-8").split("\n")[:-1]:
self.logger[name].info("%s" % line)
def threadify(self, _feature, information_dict: dict):
# `-1` signifies that the nice_thread status is returned. This is quite ugly. Maybe use two separate queues?
feature = _feature(information_dict)
self.status_queue.put((-1, "Running..."))
executor = ThreadPoolExecutor(self.n_threads)
for i in range(self.n_tasks):
executor.submit(self.append_to_queue, wid=i, feature=feature)
executor.shutdown(wait=True)
self.status_queue.put((-1, "Work done."))
def test_concurrent_ocsp_requests(tmpdir):
"""Run OCSP revocation checks in parallel. The memory and file caches are deleted randomly."""
cache_file_name = path.join(str(tmpdir), 'cache_file.txt')
SnowflakeOCSP.clear_cache() # reset the memory cache
target_hosts = TARGET_HOSTS * 5
pool = ThreadPoolExecutor(len(target_hosts))
for hostname in target_hosts:
pool.submit(_validate_certs_using_ocsp, hostname, cache_file_name)
pool.shutdown()
def mat_vec(A: List[List[int]], x: List[int]) -> List[int]:
N = len(A)
y = [0] * N
f = partial(calc, A=A, x=x, y=y)
pool = ThreadPoolExecutor(max_workers=2)
pool.map(f, [i for i in range(N)])
pool.shutdown(True)
return y
class AppTestCase(TestCase):
def set_up_app(self, games: List[Game] = None, languages: List[Language] = None, check_sys: CheckingSystem = None,
rating_system: RatingSystem = None, notification_service: NotificationService = None) -> None:
self.dth = DatabaseTestHelper()
self.dth.set_up()
self.thread_pool = ThreadPoolExecutor(2)
self.components = Components(
database=self.dth.db,
solutions_dao=SolutionsDao(self.dth.db),
games_registry=GamesRegistry.from_games(games or []),
languages_registry=LanguageRegistry.from_languages(languages or []),
checking_system=(SyncCheckingSystem(check_sys) if check_sys else None),
rating_system=rating_system,
notification_service=notification_service
)
self.rh = AppRequestHandler(self.components)
def tear_down_app(self) -> None:
self.dth.tear_down()
self.thread_pool.shutdown()
def assert_has_answer(self, message_content: Union[FileHandle, str], template: Template, user_id: int = 42) -> dict:
request = RequestFaker.message(message_content, user_id=user_id)
container = RequestContainer(request)
self.rh.handle(container)
self.assertEqual(1, len(container.responses))
response = container.responses[0]
self.assertIsInstance(response, ResponseReplyTemplate)
self.assertEqual(template, response.template)
# Test that message can be constructed without errors
response.get_content()
return response.args
def assert_has_answers(self, message_content: Union[FileHandle, str], template_1: Template, template_2: Template) -> dict:
request = RequestFaker.message(message_content)
container = RequestContainer(request)
self.rh.handle(container)
self.assertEqual(2, len(container.responses))
response1 = container.responses[0]
self.assertIsInstance(response1, ResponseReplyTemplate)
self.assertEqual(template_1, response1.template)
response1.get_content()
response2 = container.responses[1]
self.assertIsInstance(response2, ResponseReplyTemplate)
self.assertEqual(template_2, response2.template)
response2.get_content()
return container.responses[1].args
class ProcessWorker(AbstractWorker):
def __init__(self, worker_num):
if worker_num <= 0:
worker_num = max(os.cpu_count() // 2, 3)
logging.warning(
'[ProcessWorker] automatically set worker_num = %d due to target error.',
worker_num)
if WIN32:
from concurrent.futures.thread import ThreadPoolExecutor
self.pool = ThreadPoolExecutor(worker_num)
else:
self.pool = _ProcessPoolExecutor(worker_num)
super().__init__(worker_num)
def _parallel_execute(self, func, iterable):
futures = []
for params in iterable:
if isinstance(params, dict):
args = list()
kwargs = params
else:
args = list(params)
kwargs = dict()
args.insert(0, func)
futures.append(self.pool.submit(function_starter, *args, **kwargs))
wait(futures)
results = []
for future in futures:
try:
results.append(future.result())
except concurrent.futures.process.BrokenProcessPool:
# killed by parent process
results.append(None)
except Exception as e:
results.append(None)
logging.exception(e)
return results
def _submit(self, func, synchronized, args):
args = list(args)
args.insert(0, func)
if synchronized:
return self.pool.submit(function_starter, *args).result()
else:
return self.pool.submit(function_starter, *args)
def as_completed(self, funcs):
return as_completed(funcs)
def terminate(self, cancel_futures):
super().terminate(cancel_futures)
self.pool.shutdown(True, cancel_futures=cancel_futures)
def prepareServer(RequestHandlerClass, pipe, threads, timeout):
'''
Prepare in a process the request handling.
'''
def process(request, address):
RequestHandlerClass(request, address, None)
try: request.shutdown(socket.SHUT_WR)
except socket.error: pass # some platforms may raise ENOTCONN here
request.close()
pool = ThreadPoolExecutor(threads)
while True:
if not pipe.poll(timeout): break
else:
data = pipe.recv()
if data is None: break
elif data is True: continue
requestfd, address = data
request = socket.fromfd(rebuild_handle(requestfd), socket.AF_INET, socket.SOCK_STREAM)
pool.submit(process, request, address)
pool.shutdown(False)
class RabbitManager(BaseManager):
"""Base for managers that connects to rabbit
"""
def __init__(self, rabbitmq_url=None, queue=None, routing_key=None,
exchange="message", exchange_type="direct", log=None,
max_tasks=5, logging=None):
"""
== Config dict structure (case adjusted to json configuration):
{
"rabbit": {
"url": "apmq://rabbit",
"queue": "test",
"routingKey": "example.json"
"exchange": "message", // optional, default: message
"exchangeType:" "topic" // optional, default: topic
}
}
:param str rabbitmq_url: optional url to rabbitmq
:param str queue: name of the queue
:param str routing_key: routing key for queue
:param str exchange: name of the exchange
:param str exchange_type: type of the exchange
:param dict config: Manager configuration from parsed json config all
the above options can be configured from it
:param logging.Logger log: optional logger that will replace new one
:raises exceptions.NotConfigured:
:return:
"""
if queue is None:
raise exceptions.NotConfigured("Misssing queue")
self._connection = None
self._channel = None
self._closing = False
self._consumer_tag = None
self._max_tasks = max_tasks # 2 cores + 1
self._tasks_number = 0
self._executor = ThreadPoolExecutor(max_workers=self._max_tasks)
self._max_tasks_warning_counter = 0
self._rabbitmq_url = rabbitmq_url
self._queue = queue
self._routing_key = routing_key
self._exchange = exchange
self._exchange_type = exchange_type
if log is None:
from toddler.logging import setup_logging
if logging is not None:
self.log = setup_logging(config=logging)
else:
self.log = setup_logging()
else:
self.log = log
def reconnect(self):
"""Will be run by IOLoop.time if the connection is closed.
See on_connection_closed method.
"""
self._connection.ioloop.stop()
if not self._closing:
self._connection = self.connect()
self._connection.ioloop.start()
@property
def queue(self):
return self._queue
def on_connection_closed(self, connection, reply_code, reply_text):
"""
:param pika.connection.Connection connection: closed connection ob
:param int reply_code: reply code if given
:param str reply_text: reply text if given
:return:
"""
self._channel = None
if self._closing:
self._connection.ioloop.stop()
else:
self.log.warning(
"Connection closed, will reopen in 5 seconds: (%s) %s",
reply_code,
reply_text
)
self._connection.add_timeout(5, self.reconnect)
def on_channel_closed(self, channel, reply_code, reply_text):
"""Invoked when channel has been closed
:param pika.channel.Channel channel:
:param int reply_code:
:param str reply_text:
:return:
"""
self.log.info("Channel to rabbit closed.")
self._connection.close()
def on_channel_open(self, channel):
"""Invoked when channel has been opened
:param pika.channel.Channel channel:
"""
self.log.info("Channel opened")
self._channel = channel
self._channel.add_on_close_callback(self.on_channel_closed)
self.start_consuming()
def close_channel(self):
self.log.info("Closing channel")
self._channel.close()
def open_channel(self):
self.log.info("Opening channel")
self._connection.channel(on_open_callback=self.on_channel_open)
def on_connection_open(self, connection):
self.log.info("Connected")
self._connection = connection
self._connection.add_on_close_callback(self.on_connection_closed)
self.open_channel()
def connect(self):
"""Connects to rabbitmq server, according to config
:return pika.SelectConnection:
"""
self.log.info("Connecting to RabbitMQ")
return pika.BlockingConnection(
pika.URLParameters(self._rabbitmq_url + "?heartbeat_interval=5"),
# self.on_connection_open,
# stop_ioloop_on_close=False
)
def on_cancel_ok(self, frame):
"""Invoked when locale Basic.Cancel is acknowledged by RabbitMQ
:param pika.frame.Method frame:
:return:
"""
self.log.info("Rabbit acknowledged the cancel of the consumer")
self.close_channel()
def on_consumer_cancelled(self, method_frame):
"""Invoked by pika when RabbitMQ sends a Basic.Cancel for a consumer
receiving messages.
:param pika.frame.Method method_frame: The Basic.Cancel frame
:return:
"""
self.log.info("Consumer was cancelled remotely, shutting down: %r",
method_frame)
if self._channel:
self._channel.close()
def acknowledge_message(self, delivery_tag):
"""
:param delivery_tag:
:return:
"""
self.log.info("Acknowledging message %s", delivery_tag)
self._channel.basic_ack(delivery_tag)
def requeue_message(self, delivery_tag):
"""
:param delivery_tag:
:return:
"""
self.log.info("Requeuing message %s", delivery_tag)
self._channel.basic_nack(delivery_tag, requeue=True)
def on_message(self, channel, basic_deliver, properties, body):
"""Invoked when message received from rabbit
:param pika.channel.Channel channel:
:param pika.spec.Basic.Deliver basic_deliver:
:param pika.spec.BasicProperties properties:
:param str body:
:return:
"""
self.log.info("Received messages # %s from %s",
basic_deliver.delivery_tag,
properties.app_id)
try:
if self._tasks_number >= self._max_tasks:
raise RuntimeError("Max tasks limit reached")
self._tasks_number += 1
ftr = self._executor.submit(self.process_task, body)
def process_done(future: Future):
nonlocal self
self._tasks_number -= 1
if future.cancelled():
# process_task ended by cancel
self.requeue_message(self.requeue_message(
basic_deliver.delivery_tag)
)
else:
if future.exception():
exception = future.exception()
if not isinstance(exception, RequeueMessage):
self.log.exception(exception)
self.requeue_message(
basic_deliver.delivery_tag
)
else:
self.acknowledge_message(basic_deliver.delivery_tag)
ftr.add_done_callback(process_done)
return ftr
except RuntimeError:
self.requeue_message(basic_deliver.delivery_tag)
time.sleep(0.5)
except Exception as e:
self.log.exception(e)
self.requeue_message(basic_deliver.delivery_tag)
time.sleep(10)
def stop_consuming(self):
"""Send Basic.Cancel to rabbit
:return:
"""
if self._channel:
self.log.info("Stop consuming")
self._channel.basic_cancel(self.on_cancel_ok, self._consumer_tag)
def start_consuming(self):
"""Begins to consume messages
:return:
"""
self.log.info("Start consuming")
self._channel.add_on_cancel_callback(self.on_consumer_cancelled)
self._consumer_tag = self._channel.basic_consume(self.on_message,
self.queue)
self.run()
def run(self):
"""Run consumer"""
self.log.info("Running consumer")
connection = self.connect()
""":type: pika.SelectConnection"""
channel = connection.channel()
self._channel = channel
self._connection = connection
for method_frame, properties, body in channel.consume(self.queue):
while self._tasks_number >= self._max_tasks:
time.sleep(0.1)
self.on_message(channel, method_frame, properties, body)
def stop(self):
"""Stops consuming service
:return:
"""
self.log.info("Stopping")
self._closing = True
self.stop_consuming()
self._executor.shutdown(True)
# if self._connection is not None:
# self._connection.ioloop.start()
self.log.info("Stopped")
def __exit__(self, *args, **kwargs):
self.stop()
super(RabbitManager, self).__exit__(*args, **kwargs)
class AlignedSEMStream(SEMStream):
"""
This is a special SEM stream which automatically first aligns with the
CCD (using spot alignment) every time the stage position changes.
Alignment correction can either be done via beam shift (=shift), or
by just updating the image position.
"""
def __init__(self, name, detector, dataflow, emitter,
ccd, stage, focus, shiftebeam=MTD_MD_UPD, **kwargs):
"""
shiftebeam (MTD_*): if MTD_EBEAM_SHIFT, will correct the SEM position using beam shift
(iow, using emitter.shift). If MTD_MD_UPD, it will just update the
position correction metadata on the SEM images.
ccd (Optical detector)
stage (actuator): the sample stage, just to know when re-alignment is needed
focus (actuator): the _optical_ focuser, just to know when re-alignment is needed
focuser (actuator): the _e-beam_ focuser, to allow focusing the image
"""
super(AlignedSEMStream, self).__init__(name, detector, dataflow, emitter, **kwargs)
self._ccd = ccd
self._stage = stage
self._focus = focus
self._shiftebeam = shiftebeam
self.calibrated = model.BooleanVA(False) # whether the calibration has been already done
self._last_pos = stage.position.value.copy()
self._last_pos.update(focus.position.value) # last known position of the stage
self._shift = (0, 0) # (float, float): shift to apply in meters
self._last_shift = (0, 0) # (float, float): last ebeam shift applied
# In case initialization takes place in unload position the
# calibration values are not obtained yet. Thus we avoid to initialize
# cur_trans before spot alignment takes place.
self._cur_trans = None
stage.position.subscribe(self._onMove)
focus.position.subscribe(self._onMove)
self._executor = ThreadPoolExecutor(max_workers=1)
self._beamshift = None
def _onMove(self, pos):
"""
Called when the stage moves (changes position)
pos (dict): new position
"""
# Check if the position has really changed, as some stage tend to
# report "new" position even when no actual move has happened
logging.debug("Stage location is %s m,m,m", pos)
if self._last_pos == pos:
return
self._last_pos.update(pos)
# if self.is_active.value:
self.calibrated.value = False
# just reset status
self._setStatus(None)
# need to override it to support beam shift
def _applyROI(self):
"""
Update the scanning area of the SEM according to the roi
"""
res, shift = self._computeROISettings(self.roi.value)
if (self._shiftebeam == MTD_EBEAM_SHIFT) and (self._beamshift is not None):
shift = tuple(s + c for s, c in zip(shift, self._beamshift))
# always in this order
self._emitter.resolution.value = res
self._emitter.shift.value = shift
def _compensateShift(self):
"""
Compensate the SEM shift, using either beam shift or metadata update
"""
# update the correction metadata
logging.debug("Update metadata for SEM image shift")
self._detector.updateMetadata({MD_POS_COR: self._shift})
def _prepare(self):
"""
Perform calibration if needed
"""
logging.debug("Preparing stream %s ...", self)
# actually indicate that preparation has been triggered, don't wait for
# it to be completed
self._prepared = True
f = self._executor.submit(self._DoPrepare)
# Note that there is no need to call super(). This would only check
# for an optical path manager which in this case has no effect.
return f
def __del__(self):
self._executor.shutdown(wait=False)
def _DoPrepare(self):
# Need to calibrate ?
if not self.calibrated.value:
self._setStatus(logging.INFO, u"Automatic SEM alignment in progress…")
# store current settings
no_spot_settings = (self._emitter.dwellTime.value,
self._emitter.resolution.value)
# Don't mess up with un/subscribing while doing the calibration
self._getEmitterVA("dwellTime").unsubscribe(self._onDwellTime)
self._getEmitterVA("resolution").unsubscribe(self._onResolution)
shift = (0, 0)
self._beamshift = None
try:
logging.info("Determining the Ebeam center position")
# TODO Handle cases where current beam shift is larger than
# current limit. Happens when accel. voltage is changed
self._emitter.shift.value = (0, 0)
shift = FindEbeamCenter(self._ccd, self._detector, self._emitter)
logging.debug("Spot shift is %s m,m", shift)
self._beamshift = shift
# Also update the last beam shift in order to be used for stage
# offset correction in the next stage moves
self._last_shift = (0.75 * self._last_shift[0] - 0.25 * shift[0],
0.75 * self._last_shift[1] - 0.25 * shift[1])
cur_trans = self._stage.getMetadata().get(model.MD_POS_COR, (0, 0))
self._cur_trans = (cur_trans[0] - self._last_shift[0],
cur_trans[1] - self._last_shift[1])
self._stage.updateMetadata({
model.MD_POS_COR: self._cur_trans
})
logging.debug("Compensated stage translation %s m,m", self._cur_trans)
if self._shiftebeam == MTD_EBEAM_SHIFT:
# First align using shift
self._applyROI()
# Then by updating the metadata
shift = (0, 0) # just in case of failure
shift = FindEbeamCenter(self._ccd, self._detector, self._emitter)
elif self._shiftebeam == MTD_MD_UPD:
pass
else:
raise NotImplementedError("Unknown shiftbeam method %s" % (self._shiftebeam,))
except LookupError:
self._setStatus(logging.WARNING, (u"Automatic SEM alignment unsuccessful", u"Need to focus all streams"))
# logging.warning("Failed to locate the ebeam center, SEM image will not be aligned")
except Exception:
self._setStatus(logging.WARNING, (u"Automatic SEM alignment unsuccessful", u"Need to focus all streams"))
logging.exception("Failure while looking for the ebeam center")
else:
self._setStatus(None)
logging.info("Aligning SEM image using shift of %s", shift)
self.calibrated.value = True
finally:
# restore hw settings
(self._emitter.dwellTime.value,
self._emitter.resolution.value) = no_spot_settings
self._getEmitterVA("dwellTime").subscribe(self._onDwellTime)
self._getEmitterVA("resolution").subscribe(self._onResolution)
self._shift = shift
self._compensateShift()
class Server(metaclass=ABCMeta):
"""An abstract class meant to be extended, which represents a generic
Remote Adapter object capable to run Remote Data or Metadata Adapter and
connect it to the Proxy Adapter running on Lightstreamer Server.
An instance of a Server's subclass should be provided with a suitable
Adapter instance and with suitable initialization parameters and
established connections, then activated through its own :meth:`start` and
finally disposed through its own :meth:`close`. Further reuse of the same
instance is not supported.
"""
_DEFAULT_POOL_SIZE = 4
# Number of current instances of Server' subclasses.
_number = 0
def __init__(self, address, name, keep_alive, thread_pool_size):
Server._number += 1
# Logger actually overridden by subclasses.
self._log = logging.getLogger("lightstreamer-adapter.server")
self._exception_handler = None
self._config = {}
self._config['address'] = address
self._config['name'] = "#{}".format(Server._number) if (name is
None) else name
self._config['keep_alive'] = max(0, keep_alive) if (keep_alive is not
None) else 0
pool = max(0, thread_pool_size) if thread_pool_size is not None else 0
if pool == 0:
try:
self._config['thread_pool_size'] = cpu_count()
except NotImplementedError:
self._config['thread_pool_size'] = Server._DEFAULT_POOL_SIZE
else:
self._config['thread_pool_size'] = pool
self._executor = ThreadPoolExecutor(self._config['thread_pool_size'])
self._server_sock = None
self._request_receiver = None
@property
def name(self):
"""The name, used for logging purposes, associated to the Server
instance.
:type: str
"""
return self._config['name']
@property
def keep_alive(self):
"""The keepalive interval expressed in seconds (or fractions)
:type: float
"""
return self._config['keep_alive']
@property
def thread_pool_size(self):
"""The thread pool size
:type: int
"""
return self._config['thread_pool_size']
def set_exception_handler(self, handler):
"""Sets the handler for error conditions occurring on the Remote
Server. By setting the handler, it's possible to override the default
exception handling.
:param lightstreamer_adapter.server.ExceptionHandler handler: the
handler for error conditions occurring on the Remote Server.
"""
self._exception_handler = handler
@abstractmethod
def start(self):
"""Starts the Remote Adapter. A connection to the Proxy Adapter is
performed (as soon as one is available). Then, requests issued by
the Proxy Adapter are received and forwarded to the Remote Adapter.
"""
if self.keep_alive > 0:
self._log.info("Keepalive time for %s set to %f milliseconds",
self.name, self.keep_alive)
else:
self._log.info("Keepalive for %s disabled", self.name)
self._server_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._server_sock.connect(self._config['address'])
# Creates and starts the Request Receiver.
self._request_receiver = _RequestReceiver(sock=self._server_sock,
server=self)
self._request_receiver.start()
# Invokes hook to notify subclass that the Request Receiver
# has been started.
self._on_request_receiver_started()
def close(self):
"""Stops the management of the Remote Adapter and destroys the threads
used by this Server. This instance can no longer be used.
Note that this does not stop the supplied Remote Adapter, as no close
method is available in the Remote Adapter interface. If the process is
not terminating, then the Remote Adapter cleanup should be performed by
accessing the supplied Adapter instance directly and calling custom
methods.
"""
self._request_receiver.quit()
self._executor.shutdown()
self._server_sock.close()
def on_received_request(self, request):
"""Invoked when the RequestReciver gets a new request coming from the
Proxy Adapter.
This method takes the responsibility to proceed with a first
coarse-grained parsing, to identify the three main components of the
packet structure, as follows:
<ID>|<method>|<data>
| | |
| | The arguments to be passed to the method
| |
| The method to invoke on the Remote Adapter
|
The Request Id
Once parsed, the request is then dispatched to the subclass for later
management.
"""
try:
parsed_request = protocol.parse_request(request)
if parsed_request is None:
self._log.warning("Discarding malformed request: %s", request)
return
request_id = parsed_request["id"]
method_name = parsed_request["method"]
data = parsed_request["data"]
self._handle_request(request_id, data, method_name)
except RemotingException as err:
self.on_exception(err)
def _send_reply(self, request_id, response):
self._log.debug("Sending reply for request: %s", request_id)
self._request_receiver.send_reply(request_id, response)
def on_ioexception(self, ioexception):
"""Called by the Remote Server upon a read or write operation failure.
See documentation from the ExceptionHandler.handle_io exception method
for further details.
"""
if self._exception_handler is not None:
self._log.info(("Caught exception: %s, notifying the "
"application..."), str(ioexception))
# Enable default handling in case the exception handler
# returns False.
if not self._exception_handler.handle_ioexception(ioexception):
return
self._handle_ioexception(ioexception)
def on_exception(self, exception):
"""Called by the Remote Server upon an unexpected error.
See documentation from the ExceptionHandler.handle_exception method for
further details.
"""
if self._exception_handler is not None:
self._log.info(("Caught exception: %s, notifying the "
"application..."), str(exception))
# Enable default handling in case the exception handler
# returns False.
if not self._exception_handler.handle_exception(exception):
return
self._handle_exception(exception)
@abstractmethod
def _handle_ioexception(self, ioexception):
os._exit(1)
return False
def _handle_exception(self, ioexception):
pass
@abstractmethod
def _on_request_receiver_started(self):
"""Hook method to notify the subclass that the Request Receiver has
been started.
This method is intended to be overridden by subclasses.
"""
pass
@abstractmethod
def _handle_request(self, request_id, data, method_name):
"""Intended to be overridden by subclasses, invoked for handling the
received request, already splitted into the supplied parameters.
"""
pass
class OpticalPathManager(object):
"""
The purpose of this module is setting the physical components contained in
the optical path of a SPARC system to the right position/configuration with
respect to the mode given.
"""
def __init__(self, microscope):
"""
microscope (Microscope): the whole microscope component, thus it can
handle all the components needed
"""
self.microscope = microscope
self._graph = affectsGraph(self.microscope)
self._chamber_view_own_focus = False
# Use subset for modes guessed
if microscope.role == "sparc2":
self._modes = copy.deepcopy(SPARC2_MODES)
elif microscope.role in ("sparc-simplex", "sparc"):
self._modes = copy.deepcopy(SPARC_MODES)
elif microscope.role in ("secom", "delphi"):
self._modes = copy.deepcopy(SECOM_MODES)
else:
raise NotImplementedError("Microscope role '%s' unsupported" % (microscope.role,))
# Currently only used with the SECOM/DELPHI
self.quality = ACQ_QUALITY_FAST
# keep list of all components, to avoid creating new proxies
# every time the mode changes
self._cached_components = model.getComponents()
# All the actuators in the microscope, to cache proxy's to them
self._actuators = []
for comp in self._cached_components:
if hasattr(comp, 'axes') and isinstance(comp.axes, dict):
self._actuators.append(comp)
# last known axes position (before going to an alignment mode)
self._stored = {} # (str, str) -> pos: (comp role, axis name) -> position
self._last_mode = None # previous mode that was set
# Removes modes which are not supported by the current microscope
for m, (det, conf) in self._modes.items():
try:
comp = self._getComponent(det)
except LookupError:
logging.debug("Removing mode %s, which is not supported", m)
del self._modes[m]
# Create the guess information out of the mode
# TODO: just make it a dict comprole -> mode
self.guessed = self._modes.copy()
# No stream should ever imply alignment mode
for m in ALIGN_MODES:
try:
del self.guessed[m]
except KeyError:
pass # Mode to delete is just not there
if self.microscope.role in ("secom", "delphi"):
# To record the fan settings when in "fast" acq quality
try:
ccd = self._getComponent("ccd")
except LookupError:
ccd = None
# Check that at least it's a confocal microscope
try:
lm = self._getComponent("laser-mirror")
except LookupError:
logging.warning("Couldn't find a CCD on a SECOM/DELPHI")
self._has_fan_speed = model.hasVA(ccd, "fanSpeed")
self._has_fan_temp = (model.hasVA(ccd, "targetTemperature") and
not ccd.targetTemperature.readonly)
# Consider that by default we are in "fast" acquisition, with the fan
# active (if it ought to be active)
self._fan_enabled = True
# Settings of the fan when the fan is in "active cooling" mode
self._enabled_fan_speed = None
self._enabled_fan_temp = None
# Handle different focus for chamber-view (in SPARCv2)
if "chamber-view" in self._modes:
self._focus_in_chamber_view = None
self._focus_out_chamber_view = None
# Check whether the focus affects the chamber view
try:
chamb_det = self._getComponent(self._modes["chamber-view"][0])
focus = self._getComponent("focus")
if self.affects(focus.name, chamb_det.name):
self._chamber_view_own_focus = True
except LookupError:
pass
if not self._chamber_view_own_focus:
logging.debug("No focus component affecting chamber")
# will take care of executing setPath asynchronously
self._executor = ThreadPoolExecutor(max_workers=1)
def __del__(self):
logging.debug("Ending path manager")
# Restore the spectrometer focus, so that on next start, this value will
# be used again as "out of chamber view".
if self._chamber_view_own_focus and self._last_mode == "chamber-view":
focus_comp = self._getComponent("focus")
if self._focus_out_chamber_view is not None:
logging.debug("Restoring focus from before coming to chamber view to %s",
self._focus_out_chamber_view)
try:
focus_comp.moveAbsSync(self._focus_out_chamber_view)
except IOError as e:
logging.info("Actuator move failed giving the error %s", e)
try:
self._executor.shutdown(wait=False)
except AttributeError:
pass # Not created
def _getComponent(self, role):
"""
same as model.getComponent, but optimised by caching the result.
Uses regex to match the name to a list of cached components
return Component
raise LookupError: if matching component not found
"""
# if we have not returned raise an exception
for comp in self._cached_components:
if comp.role is not None and re.match(role + "$", comp.role):
return comp
# if not found...
raise LookupError("No component with the role %s" % (role,))
def setAcqQuality(self, quality):
"""
Update the acquisition quality expected. Depending on the quality,
some hardware settings will be adjusted.
quality (ACQ_QUALITY): the acquisition quality
"""
assert quality in (ACQ_QUALITY_FAST, ACQ_QUALITY_BEST)
if quality == self.quality:
return
self.quality = quality
if self.microscope.role in ("secom", "delphi"):
if quality == ACQ_QUALITY_FAST:
# Restore the fan (if it was active before)
self._setCCDFan(True)
# Don't turn off the fan if BEST: first wait for setPath()
def setPath(self, mode, detector=None):
"""
Given a particular mode it sets all the necessary components of the
optical path (found through the microscope component) to the
corresponding positions.
path (stream.Stream or str): The stream or the optical path mode
detector (Component or None): The detector which will be targeted on this
path. This can only be set if the path is a str (optical mode). That
is useful in case the mode can be used with multiple detectors (eg,
fiber-align on a SPARC with multiple spectrometers). When path is a
Stream, the Stream.detector is always used.
return (Future): a Future allowing to follow the status of the path
update.
raises (via the future):
ValueError if the given mode does not exist
IOError if a detector is missing
"""
f = self._executor.submit(self._doSetPath, mode, detector)
return f
def _doSetPath(self, path, detector):
"""
Actual implementation of setPath()
"""
if isinstance(path, stream.Stream):
if detector is not None:
raise ValueError("Not possible to specify both a stream, and a detector")
try:
mode = self.guessMode(path)
except LookupError:
logging.debug("%s doesn't require optical path change", path)
return
target = self.getStreamDetector(path) # target detector
else:
mode = path
if mode not in self._modes:
raise ValueError("Mode '%s' does not exist" % (mode,))
comp_role = self._modes[mode][0]
if detector is None:
target = self._getComponent(comp_role)
else:
target = detector
logging.debug("Going to optical path '%s', with target detector %s.", mode, target.name)
# Special SECOM mode: just look at the fan and be done
if self.microscope.role in ("secom", "delphi"):
if self.quality == ACQ_QUALITY_FAST:
self._setCCDFan(True)
elif self.quality == ACQ_QUALITY_BEST:
self._setCCDFan(target.role == "ccd")
fmoves = [] # moves in progress, list of (future, Component, dict(axis->pos) tuples
# Restore the spectrometer focus before any other move, as (on the SR193),
# the value is grating/output dependent
if self._chamber_view_own_focus and self._last_mode == "chamber-view":
focus_comp = self._getComponent("focus")
self._focus_in_chamber_view = focus_comp.position.value.copy()
if self._focus_out_chamber_view is not None:
logging.debug("Restoring focus from before coming to chamber view to %s",
self._focus_out_chamber_view)
fmoves.append((focus_comp.moveAbs(self._focus_out_chamber_view), focus_comp, self._focus_out_chamber_view))
modeconf = self._modes[mode][1]
for comp_role, conf in modeconf.items():
# Try to access the component needed
try:
comp = self._getComponent(comp_role)
except LookupError:
logging.debug("Failed to find component %s, skipping it", comp_role)
continue
# Check whether that actuator affects the target
targets = {target.name} | set(target.affects.value)
if not any(self.affects(comp.name, n) for n in targets):
logging.debug("Actuator %s doesn't affect %s, so not moving it",
comp.name, target.name)
continue
mv = {}
for axis, pos in conf.items():
if axis == "power":
if model.hasVA(comp, "power"):
try:
if pos == 'on':
comp.power.value = comp.power.range[1]
else:
comp.power.value = comp.power.range[0]
logging.debug("Updating power of comp %s to %f", comp.name, comp.power.value)
except AttributeError:
logging.debug("Could not retrieve power range of %s component", comp_role)
continue
if not hasattr(comp, "axes") or not isinstance(comp.axes, dict):
continue
if isinstance(pos, str) and pos.startswith("MD:"):
pos = self.mdToValue(comp, pos[3:])[axis]
if axis in comp.axes:
if axis == "band":
# Handle the filter wheel in a special way. Search
# for the key that corresponds to the value, most probably
# to the 'pass-through'
choices = comp.axes[axis].choices
for key, value in choices.items():
if value == pos:
pos = key
# Just to store current band in order to restore
# it once we leave this mode
if self._last_mode not in ALIGN_MODES:
self._stored[comp_role, axis] = comp.position.value[axis]
break
else:
logging.debug("Choice %s is not present in %s axis", pos, axis)
continue
elif axis == "grating":
# If mirror is to be used but not found in grating
# choices, then we use zero order. In case of
# GRATING_NOT_MIRROR we either use the last known
# grating or the first grating that is not mirror.
choices = comp.axes[axis].choices
if pos == "mirror":
# Store current grating (if we use one at the moment)
# to restore it once we use a normal grating again
if choices[comp.position.value[axis]] != "mirror":
self._stored[comp_role, axis] = comp.position.value[axis]
self._stored[comp_role, 'wavelength'] = comp.position.value['wavelength']
# Use the special "mirror" grating, if it exists
for key, value in choices.items():
if value == "mirror":
pos = key
break
else:
# Fallback to zero order (aka "low-quality mirror")
axis = 'wavelength'
pos = 0
elif pos == GRATING_NOT_MIRROR:
if choices[comp.position.value[axis]] == "mirror":
# if there is a grating stored use this one
# otherwise find the non-mirror grating
if (comp_role, axis) in self._stored:
pos = self._stored[comp_role, axis]
else:
pos = self.findNonMirror(choices)
if (comp_role, 'wavelength') in self._stored:
mv['wavelength'] = self._stored[comp_role, 'wavelength']
else:
pos = comp.position.value[axis] # no change
try:
del self._stored[comp_role, axis]
except KeyError:
pass
try:
del self._stored[comp_role, 'wavelength']
except KeyError:
pass
else:
logging.debug("Using grating position as-is: '%s'", pos)
pass # use pos as-is
elif axis == "slit-in":
if mode in ALIGN_MODES and (comp_role, axis) not in self._stored:
self._stored[comp_role, axis] = comp.position.value[axis]
elif hasattr(comp.axes[axis], "choices") and isinstance(comp.axes[axis].choices, dict):
choices = comp.axes[axis].choices
for key, value in choices.items():
if value == pos:
pos = key
break
# write actuator axis and position in dict
mv[axis] = pos
else:
logging.debug("Not moving axis %s.%s as it is not present", comp_role, axis)
try:
# move actuator
fmoves.append((comp.moveAbs(mv), comp, mv))
except AttributeError:
logging.warning("%s not an actuator", comp_role)
# Now take care of the selectors based on the target detector
fmoves.extend(self.selectorsToPath(target.name))
# If we are about to leave alignment modes, restore values
if self._last_mode in ALIGN_MODES and mode not in ALIGN_MODES:
logging.debug("Leaving align mode %s for %s, will restore positions: %s",
self._last_mode, mode, self._stored)
for (cr, an), pos in self._stored.copy().items(): # copy for deleting entries
if an == "grating":
continue # handled separately via GRATING_NOT_MIRROR
comp = self._getComponent(cr)
fmoves.append((comp.moveAbs({an: pos}), comp, {an: pos}))
del self._stored[cr, an]
# Save last mode
self._last_mode = mode
# wait for all the moves to be completed
for f, comp, mv in fmoves:
try:
# Can be large, eg within 5 min one (any) move should finish.
f.result(timeout=180)
# To do an absolute move, an axis should be referenced (if it
# supports referencing). If not, that's an error (but for now we
# still try, just in case it might work anyway).
for a in mv:
try:
if (model.hasVA(comp, "referenced") and
not comp.referenced.value.get(a, True)):
logging.error("%s.%s is not referenced, it might be a sign of a hardware issue",
comp.name, a)
except Exception:
logging.exception("Failed to check %s.%s is referenced", comp.name, a)
except IOError as e:
logging.warning("Actuator move failed giving the error %s", e)
except:
logging.exception("Actuator move failed!")
raise
# When going to chamber view, store the current focus position, and
# restore the special focus position for chamber, after _really_ all
# the other moves have finished, because the grating/output selector
# moves affects the current position of the focus.
if self._chamber_view_own_focus and mode == "chamber-view":
focus_comp = self._getComponent("focus")
self._focus_out_chamber_view = focus_comp.position.value.copy()
if self._focus_in_chamber_view is not None:
logging.debug("Restoring focus from previous chamber view to %s",
self._focus_in_chamber_view)
try:
focus_comp.moveAbsSync(self._focus_in_chamber_view)
except IOError as e:
logging.warning("Actuator move failed giving the error %s", e)
def selectorsToPath(self, target):
"""
Sets the selectors so the optical path leads to the target component
(usually a detector).
target (str): component name
return (list of futures)
"""
fmoves = []
for comp in self._actuators:
# TODO: pre-cache this as comp/target -> axis/pos
# TODO: don't do moves already done
# TODO: extend the path computation to "for every actuator which _affects_
# the target, move if position known, and update path to that actuator"?
# Eg, this would improve path computation on SPARCv2 with fiber aligner
mv = {}
for an, ad in comp.axes.items():
if hasattr(ad, "choices") and isinstance(ad.choices, dict):
for pos, value in ad.choices.items():
if target in value:
# set the position so it points to the target
mv[an] = pos
comp_md = comp.getMetadata()
if target in comp_md.get(model.MD_FAV_POS_ACTIVE_DEST, {}):
mv.update(comp_md[model.MD_FAV_POS_ACTIVE])
elif target in comp_md.get(model.MD_FAV_POS_DEACTIVE_DEST, {}):
mv.update(comp_md[model.MD_FAV_POS_DEACTIVE])
if mv:
logging.debug("Move %s added so %s targets to %s", mv, comp.name, target)
fmoves.append((comp.moveAbs(mv), comp, mv))
# make sure this component is also on the optical path
fmoves.extend(self.selectorsToPath(comp.name))
return fmoves
def guessMode(self, guess_stream):
"""
Given a stream and by checking its components (e.g. role of detector)
guesses and returns the corresponding optical path mode.
guess_stream (object): The given optical stream
returns (str): Mode estimated
raises:
LookupError if no mode can be inferred for the given stream
IOError if given object is not a stream
"""
if not isinstance(guess_stream, stream.Stream):
raise IOError("Given object is not a stream")
# Handle multiple detector streams
if isinstance(guess_stream, stream.MultipleDetectorStream):
for st in guess_stream.streams:
try:
return self.guessMode(st)
except LookupError:
pass
elif isinstance(guess_stream, stream.OverlayStream):
return "overlay"
else:
for mode, conf in self.guessed.items():
# match the name using regex
if re.match(conf[0] + '$', guess_stream.detector.role):
return mode
# In case no mode was found yet
raise LookupError("No mode can be inferred for the given stream")
def getStreamDetector(self, path_stream):
"""
Given a stream find the optical detector.
path_stream (Stream): The given stream
returns (HwComponent): detector
raises:
ValueError if given object is not a stream
LookupError: if stream has no detector
"""
if not isinstance(path_stream, stream.Stream):
raise ValueError("Given object is not a stream")
# Handle multiple detector streams
if isinstance(path_stream, stream.MultipleDetectorStream):
dets = []
for st in path_stream.streams:
try:
# Prefer the detectors which have a role in the mode, as it's much
# more likely to be the optical detector
# TODO: handle setting multiple optical paths? => return all the detectors
role = st.detector.role
for conf in self.guessed.values():
if re.match(conf[0] + '$', role):
return st.detector
dets.append(st.detector)
except AttributeError:
pass
if dets:
logging.warning("No detector on stream %s has a known optical role", path_stream.name.value)
return dets[0]
elif isinstance(path_stream, stream.OverlayStream):
return path_stream._ccd
else:
try:
return path_stream.detector
except AttributeError:
pass # will raise error just after
raise LookupError("Failed to find a detector on stream %s" % (path_stream.name.value,))
def findNonMirror(self, choices):
"""
Given a dict of choices finds the one with value different than "mirror"
"""
for key, value in choices.items():
if value != "mirror":
return key
else:
raise ValueError("Cannot find grating value in given choices")
def mdToValue(self, comp, md_name):
"""
Just retrieves the "md_name" metadata from component "comp"
"""
md = comp.getMetadata()
try:
return md[md_name]
except KeyError:
raise KeyError("Metadata %s does not exist in component %s" % (md_name, comp.name))
def affects(self, affecting, affected):
"""
Returns True if "affecting" component affects -directly of indirectly-
the "affected" component
affecting (str): component name
affected (str): component name
return bool
"""
path = self.findPath(affecting, affected)
if path is None:
return False
else:
return True
def findPath(self, node1, node2, path=None):
"""
Find any path between node1 and node2 (may not be shortest)
"""
if path is None:
path = []
path = path + [node1]
if node1 == node2:
return path
if node1 not in self._graph:
return None
for node in self._graph[node1]:
if node not in path:
new_path = self.findPath(node, node2, path)
if new_path:
return new_path
return None
def _setCCDFan(self, enable):
"""
Turn on/off the fan of the CCD
enable (boolean): True to turn on/restore the fan, and False to turn if off
"""
if not self._has_fan_speed:
return
if self._fan_enabled == enable:
return
self._fan_enabled = enable
comp = self._getComponent("ccd")
if enable:
if self._enabled_fan_speed is not None:
logging.debug("Turning fan on of %s", comp.name)
comp.fanSpeed.value = max(comp.fanSpeed.value, self._enabled_fan_speed)
else:
if comp.fanSpeed.value == 0:
# Already off => don't touch it
self._enabled_fan_speed = None
self._enabled_fan_temp = None
else:
logging.debug("Turning fan off of %s", comp.name)
self._enabled_fan_speed = comp.fanSpeed.value
comp.fanSpeed.value = 0
# Raise targetTemperature to max/ambient to avoid the fan from
# automatically starting again. (Some hardware have this built-in when
# the current temperature is too high compared to the target)
if self._has_fan_temp:
temp = comp.targetTemperature
if enable:
if self._enabled_fan_temp is not None:
temp.value = min(comp.targetTemperature.value, self._enabled_fan_temp)
try:
self._waitTemperatureReached(comp, timeout=60)
except Exception as ex:
logging.warning("Failed to reach target temperature of CCD: %s",
ex)
else:
# Set ~25°C == ambient temperature
self._enabled_fan_temp = temp.value
try:
try:
temp.value = min(comp.targetTemperature.range[1], 25)
except (AttributeError, NotApplicableError):
temp.value = util.find_closest(25, comp.targetTemperature.choices)
except Exception:
logging.warning("Failed to change targetTemperature when disabling fan",
exc_info=True)
def _waitTemperatureReached(self, comp, timeout=None):
"""
Wait until the current temperature of the component has reached the
target temperature (within some margin).
comp (Component)
timeout (0<float or None): maximum time to wait (in s)
raises:
TimeoutError: if time-out reached
"""
tstart = time.time()
while timeout is None or time.time() < tstart + timeout:
# TODO: adjust the timeout depending on whether the temperature
# gets closer to the target over time or not.
ttemp = comp.targetTemperature.value
atemp = comp.temperature.value
if atemp < ttemp + TEMP_EPSILON:
return
else:
logging.debug(u"Waiting for temperature to reach %g °C (currently at %g °C)",
ttemp, atemp)
time.sleep(1)
raise TimeoutError("Target temperature (%g C) not reached after %g s" %
(comp.targetTemperature.value, timeout))
class UI(urwid.MainLoop):
def __init__(self):
self.d = DockerBackend()
# root widget
self.mainframe = urwid.Frame(urwid.SolidFill())
self.buffers = []
self.footer = Footer(self)
self.executor = ThreadPoolExecutor(max_workers=4)
root_widget = urwid.AttrMap(self.mainframe, "root")
self.main_list_buffer = None # singleton
screen = urwid.raw_display.Screen()
screen.set_terminal_properties(256)
screen.register_palette(PALLETE)
super().__init__(root_widget, screen=screen)
self.handle_mouse = False
self.current_buffer = None
def run_in_background(self, task, *args, **kwargs):
logger.info("running task %r(%s, %s) in background", task, args, kwargs)
self.executor.submit(task, *args, **kwargs)
def refresh(self):
try:
self.draw_screen()
except AssertionError:
logger.warning("application is not running")
pass
def _set_main_widget(self, widget, redraw):
"""
add provided widget to widget list and display it
:param widget:
:return:
"""
self.mainframe.set_body(widget)
self.reload_footer()
if redraw:
logger.debug("redraw main widget")
self.refresh()
def display_buffer(self, buffer, redraw=True):
"""
display provided buffer
:param buffer: Buffer
:return:
"""
self.current_buffer = buffer
self._set_main_widget(buffer.widget, redraw=redraw)
def add_and_display_buffer(self, buffer, redraw=True):
"""
add provided buffer to buffer list and display it
:param buffer:
:return:
"""
if buffer not in self.buffers:
logger.debug("adding new buffer {!r}".format(buffer))
self.buffers.append(buffer)
self.display_buffer(buffer, redraw=redraw)
def pick_and_display_buffer(self, i):
"""
pick i-th buffer from list and display it
:param i: int
:return: None
"""
if len(self.buffers) == 1:
# we don't need to display anything
# listing is already displayed
return
else:
try:
self.display_buffer(self.buffers[i])
except IndexError:
# i > len
self.display_buffer(self.buffers[0])
@property
def current_buffer_index(self):
return self.buffers.index(self.current_buffer)
def remove_current_buffer(self):
# don't allow removing main_list
if isinstance(self.current_buffer, MainListBuffer):
logger.warning("you can't remove main list widget")
return
self.buffers.remove(self.current_buffer)
self.current_buffer.destroy()
# FIXME: we should display last displayed widget here
self.display_buffer(self.buffers[0], True)
def unhandled_input(self, key):
logger.debug("unhandled input: %r", key)
try:
if key in ("q", "Q"):
self.executor.shutdown(wait=False)
raise urwid.ExitMainLoop()
elif key == "ctrl o":
self.pick_and_display_buffer(self.current_buffer_index - 1)
elif key == "ctrl i":
self.pick_and_display_buffer(self.current_buffer_index + 1)
elif key == "x":
self.remove_current_buffer()
elif key == "/":
self.prompt("/", search)
elif key == "f4":
self.footer.prompt("filter ", filter)
elif key == "n":
self.current_buffer.find_next()
elif key == "N":
self.current_buffer.find_previous()
elif key in ["h", "?"]:
self.display_help()
elif key == "f5":
self.display_tree()
except NotifyError as ex:
self.notify_message(str(ex), level="error")
logger.error(repr(ex))
def run(self):
self.main_list_buffer = MainListBuffer(self.d, self)
@log_traceback
def chain_fcs():
self.main_list_buffer.refresh(focus_on_top=True)
self.add_and_display_buffer(self.main_list_buffer, redraw=True)
self.run_in_background(chain_fcs)
super().run()
def display_logs(self, docker_container):
self.add_and_display_buffer(LogsBuffer(docker_container, self))
def display_and_follow_logs(self, docker_container):
self.add_and_display_buffer(LogsBuffer(docker_container, self, follow=True))
def inspect(self, docker_object):
self.add_and_display_buffer(InspectBuffer(docker_object))
def display_image_info(self, docker_image):
try:
self.add_and_display_buffer(ImageInfoBuffer(docker_image, self))
except NotifyError as ex:
self.notify_message(str(ex), level="error")
logger.error(repr(ex))
def refresh_main_buffer(self, refresh_buffer=True):
assert self.main_list_buffer is not None
if refresh_buffer:
self.main_list_buffer.refresh()
self.display_buffer(self.main_list_buffer)
def display_help(self):
self.add_and_display_buffer(HelpBuffer())
def display_tree(self):
self.add_and_display_buffer(TreeBuffer(self.d, self))
# FOOTER
def set_footer(self, widget):
self.mainframe.set_footer(widget)
def reload_footer(self):
self.footer.reload_footer()
def remove_notification_message(self, message):
self.footer.remove_notification_message(message)
def notify_widget(self, *args, **kwargs):
self.footer.notify_widget(*args, **kwargs)
def notify_message(self, *args, **kwargs):
self.footer.notify_message(*args, **kwargs)
def prompt(self, *args, **kwargs):
self.footer.prompt(*args, **kwargs)
class Bender(object):
def __init__(self, backbone, brain=None):
self._backbone = backbone
self._brain = brain if brain is not None else Brain()
self._brain_lock = threading.Lock()
self._regex_to_response = OrderedDict()
self._scripts = OrderedDict()
self._pool = ThreadPoolExecutor(max_workers=4)
self._futures = [] # list of futures submitted to the pool
self._stop_loop = threading.Event()
def register_script(self, name, script):
self._scripts[name] = script
def register_builtin_scripts(self):
for name, script in scripts.get_builtin_scripts():
self.register_script(name, script)
def register_setuptools_scripts(self):
for p in pkg_resources.iter_entry_points('bender_script'):
obj = p.load()
if inspect.isclass(obj):
obj = obj()
self.register_script(p.name, obj)
def get_script(self, name):
return self._scripts[name]
def iter_scripts(self):
return iter(self._scripts.items())
def start(self):
self._brain.load()
self._backbone.on_message_received = self.on_message_received
self.register_builtin_scripts()
self.register_setuptools_scripts()
for script in self._scripts.values():
hooks.call_unique_hook(script, 'script_initialize_hook',
brain=self._brain)
hooks.call_unique_hook(self._backbone, 'backbone_start_hook')
def shutdown(self):
self._pool.shutdown(wait=True)
for name, script in list(self._scripts.items()):
self._scripts.pop(name)
hooks.call_unique_hook(script, 'script_shutdown_hook',
brain=self._brain)
hooks.call_unique_hook(self._backbone, 'backbone_shutdown_hook',
brain=self._brain)
self._brain.dump()
self._stop_loop.set()
def request_shutdown(self):
self._stop_loop.set()
def loop(self):
self.start()
self._stop_loop.wait()
self.shutdown()
def on_message_received(self, msg):
def thread_exec(hook, brain, msg, match):
try:
hooks.call(hook, brain=self._brain, msg=msg, match=match,
bender=self)
except Exception as e:
msg.reply('*BZZT* %s' % e)
else:
with self._brain_lock:
brain.dump()
handled = False
for script in self._scripts.values():
for hook in hooks.find_hooks(script, 'respond_hook'):
match = re.match(hook.inputs['regex'], msg.get_body(),
re.IGNORECASE | re.DOTALL)
if match:
f = self._pool.submit(thread_exec, hook, self._brain, msg,
match)
self._futures.append(f)
handled = True
if not handled:
msg.reply('Command not recognized')
def wait_all_messages(self):
while self._futures:
f = self._futures.pop()
f.result() # wait until future returns
class OpticalPathManager(object):
"""
The purpose of this module is setting the physical components contained in
the optical path of a SPARC system to the right position/configuration with
respect to the mode given.
"""
def __init__(self, microscope):
"""
microscope (Microscope): the whole microscope component, thus it can
handle all the components needed
"""
self.microscope = microscope
self._graph = affectsGraph(self.microscope)
# Use subset for modes guessed
if microscope.role == "sparc2":
self._modes = copy.deepcopy(SPARC2_MODES)
elif microscope.role in ("sparc-simplex", "sparc"):
self._modes = copy.deepcopy(SPARC_MODES)
else:
raise NotImplementedError("Microscope role '%s' unsupported" % (microscope.role,))
# keep list of already accessed components, to avoid creating new proxys
# every time the mode changes
self._known_comps = dict() # str (role) -> component
# All the actuators in the microscope, to cache proxy's to them
self._actuators = []
for comp in model.getComponents():
if hasattr(comp, 'axes') and isinstance(comp.axes, dict):
self._actuators.append(comp)
# last known axes position
self._stored = {}
self._last_mode = None # previous mode that was set
# Removes modes which are not supported by the current microscope
for m, (det, conf) in self._modes.items():
try:
comp = self._getComponent(det)
except LookupError:
logging.debug("Removing mode %s, which is not supported", m)
del self._modes[m]
# Create the guess information out of the mode
# TODO: just make it a dict comprole -> mode
self.guessed = self._modes.copy()
# No stream should ever imply alignment mode
for m in ALIGN_MODES:
try:
del self.guessed[m]
except KeyError:
pass # Mode to delete is just not there
# Handle different focus for chamber-view (in SPARCv2)
if "chamber-view" in self._modes:
self._focus_in_chamber_view = None
self._focus_out_chamber_view = None
# Check whether the focus affects the chamber view
self._chamber_view_own_focus = False
try:
chamb_det = self._getComponent(self._modes["chamber-view"][0])
focus = self._getComponent("focus")
if self.affects(focus.name, chamb_det.name):
self._chamber_view_own_focus = True
except LookupError:
pass
if not self._chamber_view_own_focus:
logging.debug("No focus component affecting chamber")
try:
spec = self._getComponent("spectrometer")
except LookupError:
spec = None
if self.microscope.role == "sparc2" and spec:
# Remove the moves that don't affects the detector
# TODO: do this for _all_ modes
for mode in ('spectral', 'monochromator'):
if mode in self._modes:
det_role = self._modes[mode][0]
det = self._getComponent(det_role)
modeconf = self._modes[mode][1]
for act_role in modeconf.keys():
try:
act = self._getComponent(act_role)
except LookupError:
# TODO: just remove that move too?
logging.debug("Failed to find component %s, skipping it", act_role)
continue
if not self.affects(act.name, det.name):
logging.debug("Actuator %s doesn't affect %s, so removing it from mode %s",
act_role, det_role, mode)
del modeconf[act_role]
# will take care of executing setPath asynchronously
self._executor = ThreadPoolExecutor(max_workers=1)
def __del__(self):
logging.debug("Ending path manager")
# Restore the spectrometer focus, so that on next start, this value will
# be used again as "out of chamber view".
if self._chamber_view_own_focus and self._last_mode == "chamber-view":
focus_comp = self._getComponent("focus")
if self._focus_out_chamber_view is not None:
logging.debug("Restoring focus from before coming to chamber view to %s",
self._focus_out_chamber_view)
try:
focus_comp.moveAbsSync(self._focus_out_chamber_view)
except IOError as e:
logging.info("Actuator move failed giving the error %s", e)
self._executor.shutdown(wait=False)
def _getComponent(self, role):
"""
same as model.getComponent, but optimised by caching the result
return Component
raise LookupError: if no component found
"""
try:
comp = self._known_comps[role]
except LookupError:
comp = model.getComponent(role=role)
self._known_comps[role] = comp
return comp
@isasync
def setPath(self, mode):
"""
Just a wrapper of _doSetPath
"""
f = self._executor.submit(self._doSetPath, mode)
return f
def _doSetPath(self, path):
"""
Given a particular mode it sets all the necessary components of the
optical path (found through the microscope component) to the
corresponding positions.
path (stream.Stream or str): The stream or the optical path mode
raises:
ValueError if the given mode does not exist
IOError if a detector is missing
"""
if isinstance(path, stream.Stream):
mode = self.guessMode(path)
if mode not in self._modes:
raise ValueError("Mode '%s' does not exist" % (mode,))
target = self.getStreamDetector(path) # target detector
else:
mode = path
if mode not in self._modes:
raise ValueError("Mode '%s' does not exist" % (mode,))
comp_role = self._modes[mode][0]
comp = self._getComponent(comp_role)
target = comp.name
logging.debug("Going to optical path '%s', with target detector %s.", mode, target)
fmoves = [] # moves in progress
# Restore the spectrometer focus before any other move, as (on the SR193),
# the value is grating/output dependent
if self._chamber_view_own_focus and self._last_mode == "chamber-view":
focus_comp = self._getComponent("focus")
self._focus_in_chamber_view = focus_comp.position.value.copy()
if self._focus_out_chamber_view is not None:
logging.debug("Restoring focus from before coming to chamber view to %s",
self._focus_out_chamber_view)
fmoves.append(focus_comp.moveAbs(self._focus_out_chamber_view))
modeconf = self._modes[mode][1]
for comp_role, conf in modeconf.items():
# Try to access the component needed
try:
comp = self._getComponent(comp_role)
except LookupError:
logging.debug("Failed to find component %s, skipping it", comp_role)
continue
mv = {}
for axis, pos in conf.items():
if axis == "power":
if model.hasVA(comp, "power"):
try:
if pos == 'on':
comp.power.value = comp.power.range[1]
else:
comp.power.value = comp.power.range[0]
logging.debug("Updating power of comp %s to %f", comp.name, comp.power.value)
except AttributeError:
logging.debug("Could not retrieve power range of %s component", comp_role)
continue
if isinstance(pos, str) and pos.startswith("MD:"):
pos = self.mdToValue(comp, pos[3:])[axis]
if axis in comp.axes:
if axis == "band":
# Handle the filter wheel in a special way. Search
# for the key that corresponds to the value, most probably
# to the 'pass-through'
choices = comp.axes[axis].choices
for key, value in choices.items():
if value == pos:
pos = key
# Just to store current band in order to restore
# it once we leave this mode
if self._last_mode not in ALIGN_MODES:
self._stored[axis] = comp.position.value[axis]
break
else:
logging.debug("Choice %s is not present in %s axis", pos, axis)
continue
elif axis == "grating":
# If mirror is to be used but not found in grating
# choices, then we use zero order. In case of
# GRATING_NOT_MIRROR we either use the last known
# grating or the first grating that is not mirror.
choices = comp.axes[axis].choices
if pos == "mirror":
# Store current grating (if we use one at the moment)
# to restore it once we use a normal grating again
if choices[comp.position.value[axis]] != "mirror":
self._stored[axis] = comp.position.value[axis]
self._stored['wavelength'] = comp.position.value['wavelength']
# Use the special "mirror" grating, if it exists
for key, value in choices.items():
if value == "mirror":
pos = key
break
else:
# Fallback to zero order (aka "low-quality mirror")
axis = 'wavelength'
pos = 0
elif pos == GRATING_NOT_MIRROR:
if choices[comp.position.value[axis]] == "mirror":
# if there is a grating stored use this one
# otherwise find the non-mirror grating
if axis in self._stored:
pos = self._stored[axis]
else:
pos = self.findNonMirror(choices)
if 'wavelength' in self._stored:
mv['wavelength'] = self._stored['wavelength']
else:
pos = comp.position.value[axis] # no change
try:
del self._stored[axis]
except KeyError:
pass
try:
del self._stored['wavelength']
except KeyError:
pass
else:
logging.debug("Using grating position as-is: '%s'", pos)
pass # use pos as-is
elif axis == "slit-in":
if self._last_mode not in ALIGN_MODES:
# TODO: save also the component
self._stored[axis] = comp.position.value[axis]
elif hasattr(comp.axes[axis], "choices") and isinstance(comp.axes[axis].choices, dict):
choices = comp.axes[axis].choices
for key, value in choices.items():
if value == pos:
pos = key
break
mv[axis] = pos
else:
logging.debug("Not moving axis %s.%s as it is not present", comp_role, axis)
try:
fmoves.append(comp.moveAbs(mv))
except AttributeError:
logging.debug("%s not an actuator", comp_role)
# Now take care of the selectors based on the target detector
fmoves.extend(self.selectorsToPath(target))
# If we are about to leave alignment modes, restore values
if self._last_mode in ALIGN_MODES and mode not in ALIGN_MODES:
if 'band' in self._stored:
try:
flter = self._getComponent("filter")
fmoves.append(flter.moveAbs({"band": self._stored['band']}))
except LookupError:
logging.debug("No filter component available")
if 'slit-in' in self._stored:
try:
spectrograph = self._getComponent("spectrograph")
fmoves.append(spectrograph.moveAbs({"slit-in": self._stored['slit-in']}))
except LookupError:
logging.debug("No spectrograph component available")
# Save last mode
self._last_mode = mode
# wait for all the moves to be completed
for f in fmoves:
try:
f.result()
except IOError as e:
logging.warning("Actuator move failed giving the error %s", e)
# When going to chamber view, store the current focus position, and
# restore the special focus position for chamber, after _really_ all
# the other moves have finished, because the grating/output selector
# moves affects the current position of the focus.
if self._chamber_view_own_focus and mode == "chamber-view":
focus_comp = self._getComponent("focus")
self._focus_out_chamber_view = focus_comp.position.value.copy()
if self._focus_in_chamber_view is not None:
logging.debug("Restoring focus from previous chamber view to %s",
self._focus_in_chamber_view)
try:
focus_comp.moveAbsSync(self._focus_in_chamber_view)
except IOError as e:
logging.warning("Actuator move failed giving the error %s", e)
def selectorsToPath(self, target):
"""
Sets the selectors so the optical path leads to the target component
(usually a detector).
target (str): component name
return (list of futures)
"""
fmoves = []
for comp in self._actuators:
# TODO: pre-cache this as comp/target -> axis/pos
# TODO: extend the path computation to "for every actuator which _affects_
# the target, move if if position known, and update path to that actuator"?
# Eg, this would improve path computation on SPARCv2 with fiber aligner
mv = {}
for an, ad in comp.axes.items():
if hasattr(ad, "choices") and isinstance(ad.choices, dict):
for pos, value in ad.choices.items():
if target in value:
# set the position so it points to the target
mv[an] = pos
comp_md = comp.getMetadata()
if target in comp_md.get(model.MD_FAV_POS_ACTIVE_DEST, {}):
mv.update(comp_md[model.MD_FAV_POS_ACTIVE])
elif target in comp_md.get(model.MD_FAV_POS_DEACTIVE_DEST, {}):
mv.update(comp_md[model.MD_FAV_POS_DEACTIVE])
if mv:
logging.debug("Move %s added so %s targets to %s", mv, comp.name, target)
fmoves.append(comp.moveAbs(mv))
# make sure this component is also on the optical path
fmoves.extend(self.selectorsToPath(comp.name))
return fmoves
def guessMode(self, guess_stream):
"""
Given a stream and by checking its components (e.g. role of detector)
guesses and returns the corresponding optical path mode.
guess_stream (object): The given optical stream
returns (str): Mode estimated
raises:
LookupError if no mode can be inferred for the given stream
IOError if given object is not a stream
"""
if not isinstance(guess_stream, stream.Stream):
raise IOError("Given object is not a stream")
# Handle multiple detector streams
if isinstance(guess_stream, stream.MultipleDetectorStream):
for st in guess_stream.streams:
try:
return self.guessMode(st)
except LookupError:
pass
else:
for mode, conf in self.guessed.items():
if conf[0] == guess_stream.detector.role:
return mode
# In case no mode was found yet
raise LookupError("No mode can be inferred for the given stream")
def getStreamDetector(self, path_stream):
"""
Given a stream find the detector.
path_stream (object): The given stream
returns (str): detector name
raises:
IOError if given object is not a stream
LookupError: if stream has no detector
"""
if not isinstance(path_stream, stream.Stream):
raise IOError("Given object is not a stream")
# Handle multiple detector streams
if isinstance(path_stream, stream.MultipleDetectorStream):
dets = []
for st in path_stream.streams:
try:
# Prefer the detectors which have a role in the mode, as it's much
# more likely to be the optical detector
# TODO: handle setting multiple optical paths? => return all the detectors
role = st.detector.role
name = st.detector.name
for conf in self.guessed.values():
if conf[0] == role:
return name
dets.append(name)
except AttributeError:
pass
if dets:
logging.warning("No detector on stream %s has a known optical role", path_stream.name.value)
return dets[0]
else:
try:
return path_stream.detector.name
except AttributeError:
pass # will raise error just after
raise LookupError("Failed to find a detector on stream %s" % (path_stream.name.value))
def findNonMirror(self, choices):
"""
Given a dict of choices finds the one with value different than "mirror"
"""
for key, value in choices.items():
if value != "mirror":
return key
else:
raise ValueError("Cannot find grating value in given choices")
def mdToValue(self, comp, md_name):
"""
Just retrieves the "md_name" metadata from component "comp"
"""
md = comp.getMetadata()
try:
value = md.get(md_name)
return value
except KeyError:
raise KeyError("Metadata %s does not exist in component %s" % (md_name, comp.name))
def affects(self, affecting, affected):
"""
Returns True if "affecting" component affects -directly of indirectly-
the "affected" component
"""
path = self.findPath(affecting, affected)
if path is None:
return False
else:
return True
def findPath(self, node1, node2, path=[]):
"""
Find any path between node1 and node2 (may not be shortest)
"""
path = path + [node1]
if node1 == node2:
return path
if node1 not in self._graph:
return None
for node in self._graph[node1]:
if node not in path:
new_path = self.findPath(node, node2, path)
if new_path:
return new_path
return None
def do_test3(workers):
param = {"max_workers": workers}
loop = asyncio.new_event_loop()
lock = threading.Lock()
tresult = []
presult = []
cresult = []
pre_input1 = input_generator(workers, 0)
pre_input2 = input_generator(workers, max(pre_input1))
pre_input3 = input_generator(workers, max(pre_input2))
def result_checker(list, lock, fut):
with lock:
try:
list.append(fut.result())
except Exception as e:
list.append(e)
texec = ThreadPoolExecutor(**param)
pexec = ProcessPoolExecutor(**param)
cexec = CoroutinePoolExecutor(**param, loop=loop)
tstart = round(time.time()+1)
input1 = [tstart + i for i in pre_input1]
input2 = [tstart + i for i in pre_input2]
input3 = [tstart + i for i in pre_input3]
for x in input1:
future = texec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, tresult, lock))
result_iter = texec.map(wake_at, input2)
for x in input3:
future = texec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, tresult, lock))
for x in result_iter:
with lock:
tresult.append(x)
texec.shutdown(True)
pstart = round(time.time() + _start_warm_up)
input1 = [pstart + i for i in pre_input1]
input2 = [pstart + i for i in pre_input2]
input3 = [pstart + i for i in pre_input3]
for x in input1:
future = pexec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, presult, lock))
result_iter = pexec.map(wake_at, input2)
for x in input3:
future = pexec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, presult, lock))
for x in result_iter:
with lock:
presult.append(x)
pexec.shutdown(True)
cstart = round(time.time() + _start_warm_up)
input1 = [cstart + i for i in pre_input1]
input2 = [cstart + i for i in pre_input2]
input3 = [cstart + i for i in pre_input3]
async def async_main():
for x in input1:
future = cexec.submit(async_wake_at, x)
future.add_done_callback(
functools.partial(result_checker, cresult, lock))
result_iter = cexec.map(async_wake_at, input2)
for x in input3:
future = cexec.submit(async_wake_at, x)
future.add_done_callback(
functools.partial(result_checker, cresult, lock))
async for x in result_iter:
with lock:
cresult.append(x)
await cexec.shutdown(False)
loop.run_until_complete(async_main())
try:
loop.run_until_complete(cexec.shutdown(True))
texec.shutdown(True)
pexec.shutdown(True)
finally:
loop.close()
tresult = [round((x - tstart) / _precision) for x in tresult]
presult = [round((x - pstart) / _precision) for x in presult]
cresult = [round((x - cstart) / _precision) for x in cresult]
result = True
for (t, p, c) in zip(tresult, presult, cresult):
result = result and (t == p)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t,p,c)
assert False
result = result and (p == c)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t, p, c)
assert False
result = result and (c == t)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t, p, c)
assert False
return result
def do_test1(workers):
param = {"max_workers": workers}
start = round(time.time() + _start_warm_up)
input = input_generator(workers, start)
loop = asyncio.new_event_loop()
lock = threading.Lock()
tresult = []
presult = []
cresult = []
def result_checker(list, lock, fut):
with lock:
try:
list.append(fut.result())
except Exception as e:
list.append(e)
texec = ThreadPoolExecutor(**param)
pexec = ProcessPoolExecutor(**param)
cexec = CoroutinePoolExecutor(**param, loop=loop)
for x in input:
future = texec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, tresult, lock))
future = pexec.submit(wake_at, x)
future.add_done_callback(
functools.partial(result_checker, presult, lock))
future = cexec.submit(async_wake_at, x)
future.add_done_callback(
functools.partial(result_checker, cresult, lock))
texec.shutdown(False)
pexec.shutdown(False)
loop.run_until_complete(cexec.shutdown(False))
try:
loop.run_until_complete(cexec.shutdown(True))
texec.shutdown(True)
pexec.shutdown(True)
finally:
loop.close()
tresult = [round((x - start) / _precision) for x in tresult]
presult = [round((x - start) / _precision) for x in presult]
cresult = [round((x - start) / _precision) for x in cresult]
result = True
for (t, p, c) in zip(tresult, presult, cresult):
result = result and (t == p)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t, p, c)
assert False
result = result and (p == c)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t, p, c)
assert False
result = result and (c == t)
if not result:
print(tresult)
print(presult)
print(cresult)
print(t, p, c)
assert False
return result