def main(args=None):
parser = create_parser()
ns = parser.parse_args(args)
nd = ns.__dict__
if ns.cmd in FACILITY_PARSER_MAP:
db = Broker.named(nd['db_name'])
db_path = db.get_config()['metadatastore']['config']['directory']
writer = NpyWriter(db.fs, db_path)
for n, d in FACILITY_PARSER_MAP[ns.cmd]['cmd'](nd['input_data']):
if n == 'descriptor':
for k in ['tof', 'intensity', 'error']:
d['data_keys'][k]['external'] = True
if n == 'event':
for k in ['tof', 'intensity', 'error']:
d['data'][k] = writer.write(d['data'][k])
d['filled'][k] = False
print(n)
pprint(d)
db.insert(n, d)
else:
db_config_path = os.path.expanduser('~/.config/databroker/'
'{}.yaml'.format(nd['name']))
path = os.path.expanduser(nd['path'])
config = {'description': 'lightweight personal database',
'metadatastore': {'module': 'databroker.headersource.sqlite',
'class': 'MDS',
'config': {'directory': path,
'timezone': 'US/Eastern'}},
'assets': {'module': 'databroker.assets.sqlite',
'class': 'Registry',
'config': {'dbpath': os.path.join(
path, 'database.sql')}}}
os.makedirs(path, exist_ok=True)
os.makedirs(os.path.split(db_config_path)[0], exist_ok=True)
with open(db_config_path, 'w', encoding='utf8') as f:
yaml.dump(config, f)
# import nslsii # Register bluesky IPython magics. #from bluesky.magics import BlueskyMagics #get_ipython().register_magics(BlueskyMagics) #nslsii.configure_base(get_ipython().user_ns, 'amx') import bluesky.plans as bp from bluesky.run_engine import RunEngine from bluesky.utils import get_history RE = RunEngine(get_history()) beamline = os.environ["BEAMLINE_ID"] from databroker import Broker db = Broker.named(beamline) RE.subscribe(db.insert) # from bluesky.callbacks.best_effort import BestEffortCallback # bec = BestEffortCallback() # RE.subscribe(bec) # convenience imports # from ophyd.commands import * from bluesky.callbacks import * # from bluesky.spec_api import * # from bluesky.global_state import gs, abort, stop, resume # from databroker import (DataBroker as db, get_events, get_images, # get_table, get_fields, restream, process)
from databroker import Broker
db = Broker.named("iss")
import sys
sys.path.insert(0, '/home/xf08id/Repos/workflows')
import interpolation
data = dict()
data['requester'] = "xf08id-ws02"
#data['uid'] = "55f14401-8c60-4474-a24e-62b7722c933c"
data['uid'] = db[-1].start['uid']
store =data.copy()
signal = None
context = None
interpolation.create_req_func(data, store, signal, context)
interpolation.process_run_func(data, store, signal, context)
import h5py
from databroker import Broker
from databroker._core import register_builtin_handlers
db = Broker.named('xfm')
register_builtin_handlers(db.reg)
# srx detector, to be moved to filestore
from databroker.assets.handlers import Xspress3HDF5Handler, HandlerBase
class BulkXSPRESS(HandlerBase):
HANDLER_NAME = 'XPS3_FLY'
def __init__(self, resource_fn):
self._handle = h5py.File(resource_fn, 'r')
def __call__(self):
return self._handle['entry/instrument/detector/data'][:]
db.reg.register_handler(BulkXSPRESS.HANDLER_NAME, BulkXSPRESS,
overwrite=True)
class ZebraHDF5Handler(HandlerBase):
HANDLER_NAME = 'ZEBRA_HDF51'
def __init__(self, resource_fn):
self._handle = h5py.File(resource_fn, 'r')
def __call__(self, column):
return self._handle[column][:]
class SISHDF5Handler(HandlerBase):
from databroker import Broker
db = Broker.named('hxn')
db_analysis = Broker.named('hxn_analysis')
from hxntools.handlers.xspress3 import Xspress3HDF5Handler
from hxntools.handlers.timepix import TimepixHDF5Handler
db.reg.register_handler(Xspress3HDF5Handler.HANDLER_NAME,
Xspress3HDF5Handler)
db.reg.register_handler(TimepixHDF5Handler._handler_name,
TimepixHDF5Handler, overwrite=True)
from databroker import Broker
db = Broker.named('hxn')
#db_analysis = Broker.named('hxn_analysis')
from hxntools.handlers.xspress3 import Xspress3HDF5Handler
from hxntools.handlers.timepix import TimepixHDF5Handler
db.reg.register_handler(Xspress3HDF5Handler.HANDLER_NAME,
Xspress3HDF5Handler)
db.reg.register_handler(TimepixHDF5Handler._handler_name,
TimepixHDF5Handler, overwrite=True)
# Set up a RunEngine and use metadata backed by a sqlite file.
from bluesky import RunEngine
from bluesky.utils import get_history
RE = RunEngine(get_history())
# Set up a Broker.
from databroker import Broker
db = Broker.named('csx')
# Subscribe metadatastore to documents.
# If this is removed, data is not saved to metadatastore.
RE.subscribe(db.insert)
# Set up SupplementalData.
from bluesky import SupplementalData
sd = SupplementalData()
RE.preprocessors.append(sd)
# Add a progress bar.
from bluesky.utils import ProgressBarManager
pbar_manager = ProgressBarManager()
RE.waiting_hook = pbar_manager
# Register bluesky IPython magics.
from bluesky.magics import BlueskyMagics
get_ipython().register_magics(BlueskyMagics)
# Set up the BestEffortCallback.
from bluesky.callbacks.best_effort import BestEffortCallback
bec = BestEffortCallback()
RE.subscribe(bec)
import os
import shutil
import tempfile
import yaml
from databroker import Broker
try:
db = Broker.named('xpd')
except NameError:
from xpdsim import db
import logging
from pkg_resources import resource_filename as rs_fn
logger = logging.getLogger(__name__)
pytest_dir = rs_fn('xpdan', 'tests')
def load_configuration(name):
"""
Load configuration data from a cascading series of locations.
The precedence order is (highest priority last):
1. The conda environment
- CONDA_ENV/etc/{name}.yaml (if CONDA_ETC_ is defined for the env)
2. The shipped version
3. At the system level
- /etc/{name}.yml
4. In the user's home directory
- ~/.config/{name}.yml
from bluesky.utils import install_qt_kicker
install_qt_kicker()
print("Insalling Qt Kicker...")
# Make ophyd listen to pyepics.
from ophyd import setup_ophyd
setup_ophyd()
# Set up a RunEngine and use metadata backed by a sqlite file.
from bluesky import RunEngine
from bluesky.utils import get_history
RE = RunEngine(get_history())
# Set up a Broker.
from databroker import Broker
db = Broker.named('amx')
# Subscribe metadatastore to documents.
# If this is removed, data is not saved to metadatastore.
from bluesky import RunEngine
RE = RunEngine()
abort = RE.abort
resume = RE.resume
stop = RE.stop
RE.subscribe(db.insert)
# Set up SupplementalData.
from bluesky import SupplementalData
import time
import sys
from bluesky.simulators import summarize_plan
# Set up a RunEngine and use metadata backed by a sqlite file.
from bluesky import RunEngine
from bluesky.utils import get_history
RE = RunEngine({})
# Set up a Broker.
from databroker import Broker
db = Broker.named('iss')
db_analysis = Broker.named('iss-analysis')
# Subscribe metadatastore to documents.
# If this is removed, data is not saved to metadatastore.
RE.subscribe(db.insert)
# Set up SupplementalData.
from bluesky import SupplementalData
sd = SupplementalData()
RE.preprocessors.append(sd)
# Add a progress bar.
from timeit import default_timer as timer
from bluesky.utils import ProgressBarManager
pbar_manager = ProgressBarManager()
#RE.waiting_hook = pbar_manager
from bluesky.utils import install_qt_kicker
install_qt_kicker()
print("Installing Qt Kicker...")
# Make ophyd listen to pyepics.
from ophyd import setup_ophyd
setup_ophyd()
# Set up a RunEngine and use metadata backed by a sqlite file.
from bluesky import RunEngine
from bluesky.utils import get_history
RE = RunEngine(get_history())
# Set up a Broker.
from databroker import Broker
db = Broker.named('fmx')
# Subscribe metadatastore to documents.
# If this is removed, data is not saved to metadatastore.
RE.subscribe(db.insert)
# Set up SupplementalData.
from bluesky import SupplementalData
sd = SupplementalData()
RE.preprocessors.append(sd)
# Add a progress bar.
# from bluesky.utils import ProgressBarManager
# pbar_manager = ProgressBarManager()
# RE.waiting_hook = pbar_manager
def interpolate_and_save(db_name,
db_analysis_name,
uid,
mono_name='mono1_enc',
pulses_per_degree=None):
''' Interpolate measured data and save to an analysis store.
Parameters
----------
# TODO : change to config (don't rely on Broker.named which explores
local directory)
db_config: str
the name the database (in /etc/databroker/name.yml)
db_analysis_config : str
the name of the analysis database (in /etc/databroker/name.yml)
uid : str
The uid of the data set
mono_name : str
the monochromator encoder name. Defaults to 'mono1_enc'
pulses_per_degree : float
pulses per degree of the encoder from the monochromator
defaults to the current setup at QAS
Returns
-------
interp_df : the interpolated data
bin_df : the binned data if e0 is set
'''
# the pulses per degree, hard coded for now
# TODO : Make a signal to pb1.enc1
# and have it passed at configuration_attrs
# (which results in data in descriptor)
if pulses_per_degree is None:
ppd = 23600 * 400 / 360
else:
ppd = pulses_per_degree
db = Broker.named(db_name)
hdr = db[uid]
start = hdr.start
if 'e0' not in start:
e0 = 8979
print("Warning, e0 not in start, setting to Cu: {}".format(e0))
else:
e0 = float(hdr.start['e0'])
db_analysis = Broker.named(db_analysis_name)
# the important part of Bruno's code that does the interpolation
gen_parser = xasdata.XASdataGeneric(ppd, db=db, mono_name='mono1_enc')
gen_parser.load(uid)
# data saves in gen_parser.interp_df
gen_parser.interpolate()
# useful command for debugging, looking at energy
# this is automatically run by gen_parser
#energy = encoder2energy(res[:,3], ppd)
PREFIX = "/nsls2/xf07bm/data/interpolated_data"
write_path_template = PREFIX + '/%Y/%m/%d/'
DIRECTORY = datetime.now().strftime(write_path_template)
scan_id = hdr.start['scan_id']
md = hdr.start
filename = 'xas_' + md.get("name", str(uuid4())[:6]) + "_" + str(scan_id)
os.makedirs(DIRECTORY, exist_ok=True)
filepath = DIRECTORY
# file is exported
fileout = gen_parser.export_trace(filename, filepath)
call(['chmod', '774', fileout])
bin_df, bin_df_filename = bin_data(gen_parser,
fileout,
e0,
scan_id=scan_id)
result = dict(bin_df=bin_df,
bin_df_filename=bin_df_filename,
interp_df=gen_parser.interp_df,
interp_df_filename=fileout,
scan_id=scan_id)
return result
def run(self):
"""
Overrides the `run()` function of the `multiprocessing.Process` class. Called
by the `start` method.
"""
logging.basicConfig(level=max(logging.WARNING, self._log_level))
logging.getLogger(__name__).setLevel(self._log_level)
success = True
from .profile_tools import set_re_worker_active, clear_re_worker_active
# Set the environment variable indicating that RE Worker is active. Status may be
# checked using 'is_re_worker_active()' in startup scripts or modules.
set_re_worker_active()
from .plan_monitoring import RunList, CallbackRegisterRun
self._active_run_list = RunList(
) # Initialization should be done before communication is enabled.
self._comm_to_manager.add_method(self._request_state_handler,
"request_state")
self._comm_to_manager.add_method(self._request_plan_report_handler,
"request_plan_report")
self._comm_to_manager.add_method(self._request_run_list_handler,
"request_run_list")
self._comm_to_manager.add_method(self._command_close_env_handler,
"command_close_env")
self._comm_to_manager.add_method(self._command_confirm_exit_handler,
"command_confirm_exit")
self._comm_to_manager.add_method(self._command_run_plan_handler,
"command_run_plan")
self._comm_to_manager.add_method(self._command_pause_plan_handler,
"command_pause_plan")
self._comm_to_manager.add_method(self._command_continue_plan_handler,
"command_continue_plan")
self._comm_to_manager.add_method(self._command_reset_worker_handler,
"command_reset_worker")
self._comm_to_manager.start()
self._exit_event = threading.Event()
self._exit_confirmed_event = threading.Event()
self._re_report_lock = threading.Lock()
from bluesky import RunEngine
from bluesky.run_engine import get_bluesky_event_loop
from bluesky.callbacks.best_effort import BestEffortCallback
from bluesky_kafka import Publisher as kafkaPublisher
from bluesky.utils import PersistentDict
from .profile_tools import global_user_namespace
# TODO: TC - Do you think that the following code may be included in RE.__init__()
# (for Python 3.8 and above)
# Setting the default event loop is needed to make the code work with Python 3.8.
loop = get_bluesky_event_loop()
asyncio.set_event_loop(loop)
try:
keep_re = self._config_dict["keep_re"]
startup_dir = self._config_dict.get("startup_dir", None)
startup_module_name = self._config_dict.get(
"startup_module_name", None)
startup_script_path = self._config_dict.get(
"startup_script_path", None)
self._re_namespace = load_worker_startup_code(
startup_dir=startup_dir,
startup_module_name=startup_module_name,
startup_script_path=startup_script_path,
keep_re=keep_re,
)
if keep_re and ("RE" not in self._re_namespace):
raise RuntimeError(
"Run Engine is not created in the startup code and 'keep_re' option is activated."
)
self._existing_plans = plans_from_nspace(self._re_namespace)
self._existing_devices = devices_from_nspace(self._re_namespace)
logger.info("Startup code loading was completed")
except Exception as ex:
logger.exception(
"Failed to start RE Worker environment. Error while loading startup code: %s.",
str(ex),
)
success = False
# Load lists of allowed plans and devices
logger.info("Loading the lists of allowed plans and devices ...")
path_pd = self._config_dict["existing_plans_and_devices_path"]
path_ug = self._config_dict["user_group_permissions_path"]
try:
self._allowed_plans, self._allowed_devices = load_allowed_plans_and_devices(
path_existing_plans_and_devices=path_pd,
path_user_group_permissions=path_ug)
except Exception as ex:
logger.exception(
"Error occurred while loading lists of allowed plans and devices from '%s': %s",
path_pd, str(ex))
if success:
logger.info("Instantiating and configuring Run Engine ...")
try:
# Make RE namespace available to the plan code.
global_user_namespace.set_user_namespace(
user_ns=self._re_namespace, use_ipython=False)
if self._config_dict["keep_re"]:
# Copy references from the namespace
self._RE = self._re_namespace["RE"]
self._db = self._re_namespace.get("RE", None)
else:
# Instantiate a new Run Engine and Data Broker (if needed)
md = {}
if self._config_dict["use_persistent_metadata"]:
# This code is temporarily copied from 'nslsii' before better solution for keeping
# continuous sequence Run ID is found. TODO: continuous sequence of Run IDs.
directory = os.path.expanduser("~/.config/bluesky/md")
os.makedirs(directory, exist_ok=True)
md = PersistentDict(directory)
self._RE = RunEngine(md)
self._re_namespace["RE"] = self._RE
def factory(name, doc):
# Documents from each run are routed to an independent
# instance of BestEffortCallback
bec = BestEffortCallback()
return [bec], []
# Subscribe to Best Effort Callback in the way that works with multi-run plans.
rr = RunRouter([factory])
self._RE.subscribe(rr)
# Subscribe RE to databroker if config file name is provided
self._db = None
if "databroker" in self._config_dict:
config_name = self._config_dict["databroker"].get(
"config", None)
if config_name:
logger.info(
"Subscribing RE to Data Broker using configuration '%s'.",
config_name)
from databroker import Broker
self._db = Broker.named(config_name)
self._re_namespace["db"] = self._db
self._RE.subscribe(self._db.insert)
# Subscribe Run Engine to 'CallbackRegisterRun'. This callback is used internally
# by the worker process to keep track of the runs that are open and closed.
run_reg_cb = CallbackRegisterRun(
run_list=self._active_run_list)
self._RE.subscribe(run_reg_cb)
if "kafka" in self._config_dict:
logger.info(
"Subscribing to Kafka: topic '%s', servers '%s'",
self._config_dict["kafka"]["topic"],
self._config_dict["kafka"]["bootstrap"],
)
kafka_publisher = kafkaPublisher(
topic=self._config_dict["kafka"]["topic"],
bootstrap_servers=self._config_dict["kafka"]
["bootstrap"],
key="kafka-unit-test-key",
# work with a single broker
producer_config={
"acks": 1,
"enable.idempotence": False,
"request.timeout.ms": 5000
},
serializer=partial(msgpack.dumps, default=mpn.encode),
)
self._RE.subscribe(kafka_publisher)
if "zmq_data_proxy_addr" in self._config_dict:
from bluesky.callbacks.zmq import Publisher
publisher = Publisher(
self._config_dict["zmq_data_proxy_addr"])
self._RE.subscribe(publisher)
self._execution_queue = queue.Queue()
self._state["environment_state"] = "ready"
except BaseException as ex:
success = False
logger.exception(
"Error occurred while initializing the environment: %s.",
str(ex))
if success:
logger.info("RE Environment is ready")
self._execute_in_main_thread()
else:
self._exit_event.set()
logger.info("Environment is waiting to be closed ...")
self._state["environment_state"] = "closing"
# Wait until confirmation is received from RE Manager
while not self._exit_confirmed_event.is_set():
ttime.sleep(0.02)
# Clear the environment variable indicating that RE Worker is active. It is an optional step
# since the process is about to close, but we still do it for consistency.
clear_re_worker_active()
self._RE = None
self._comm_to_manager.stop()
logger.info("Run Engine environment was closed successfully")