setup pixi

.gitattributes

@@ -0,0 +1,2 @@
+# SCM syntax highlighting & preventing 3-way merges
+pixi.lock merge=binary linguist-language=YAML linguist-generated=true

.gitignore

@@ -145,4 +145,6 @@ doc/source/_generated_images/*
 *.wav
 
 # Users scripts
-users/
+users/# pixi environments
+.pixi/*
+!.pixi/config.toml

pixi.toml

@@ -0,0 +1,65 @@
+[workspace]
+channels = ["conda-forge"]
+name = "cms-profile-collection"
+platforms = ["linux-64"]
+version = "2025.3.1"
+
+[system-requirements]
+libc = "2.17"
+
+[feature.profile.dependencies]
+bluesky-base = "==1.14.6"
+bluesky-queueserver = "*"
+matplotlib-base= ">=3.9.3,<4"
+networkx = ">=3.4.2,<4"
+nslsii = "==0.11.4"
+numpy = "*"
+ophyd = ">=1.11.0"
+pyepics = "*"
+python = ">=3.12,<3.13"
+semver = ">=3.0.4,<4"
+tiled-client = ">=0.1.6"
+lmfit = ">=1.3.4,<2"
+paramiko = ">=4.0.0,<5"
+peakutils = ">=1.3.5,<2"
+suitcase-utils = ">=0.5.4,<0.6"
+arvpyf = ">=0.4.3,<0.5"
+telnetlib3 = ">=1.0.4,<2"
+hdf5-external-filter-plugins = ">=0.1.0,<0.2"
+blosc-hdf5-plugin = ">=1.0.1,<2"
+databroker = "==2.0.0"
+epicscorelibs = ">=7.0.7.99.1.1,<8"
+bluesky-tiled-plugins = ">=2.0.0b68"
+ophyd-async = ">=0.13.7,<0.14"
+
+
+[feature.profile.pypi-dependencies]
+pvxslibs = ">=1.3.2, <2"
+
+
+[feature.qs.dependencies]
+bluesky-queueserver = "*"
+bluesky-httpserver = "*"
+
+[feature.qs.tasks]
+# This section needs some development work to understand the best way to
+# thread the required configuration through both the task and files checked into
+# the profile.  These will interact with the ansible roles for pushing out the
+# systemd units
+qs-backend = "start-re-manager --profile-dir=."
+qs-server = "uvicorn --host localhost --port 60610 bluesky_httpserver.server:app"
+
+
+[feature.terminal.dependencies]
+ipython = ">=9.5.0"
+pyside6 = "*"
+numpy = ">2"
+
+
+[feature.terminal.tasks]
+start = "unset SESSION_MANAGER PYTHONPATH && MPLBACKEND=qtagg ipython --profile-dir=."
+pvs = "ipython --profile-dir=. -c 'get_pv_types(); exit()'"
+
+[environments]
+terminal = {features=["profile", "terminal"], solve-group="profile"}
+qs = {features=["profile", "qs"], solve-group="profile"}

startup/01-ad33_tmp.py

@@ -18,7 +18,7 @@ class StatsPluginV33(PluginBase):
         """This supports changes to time series PV names in AD 3-3 Due to https://github.com/areaDetector/ADCore/pull/333"""
 
         _default_suffix = "Stats1:"
-        _suffix_re = "Stats\d:"
+        _suffix_re = r"Stats\d:"
         _html_docs = ["NDPluginStats.html"]
         _plugin_type = "NDPluginStats"
         _default_configuration_attrs = PluginBase._default_configuration_attrs + (

startup/91-fit_scan.py

@@ -69,37 +69,37 @@ def remove_last_Pilatus_series():
         os.remove(filename)
 
 
-if False:
-    # %run -i /opt/ipython_profiles/profile_collection/startup/91-fit_scan.py
-
-    # Define a 'fake' detector, for testing purposes
-    from bluesky.examples import Reader
-
-    def fake_detector_response_peak():
-        pos = armz.user_readback.value
-        A = 1000.0
-        x0 = -40.0
-        sigma = 0.1
-        I = A * np.exp(-((pos - x0) ** 2) / (2 * sigma**2)) + 10.0
-
-        return np.random.poisson(I)
-
-    def fake_detector_response_edge():
-        pos = armz.user_readback.value
-        A = 1000.0
-        x0 = -17.0
-        sigma = 0.05
-        I = A / (1 + np.exp(-(pos - x0) / (-sigma))) + 10.0
-
-        return np.random.poisson(I)
-
-    # det = Reader( 'det', {'intensity': lambda: 1.0*( (DETx.user_readback.value - (-40.0))**2 )/(2.*(0.1)**2) } )
-    det = Reader("intensity", {"intensity": fake_detector_response_edge})
-    detselect(det)
-    # detselect(det, suffix='')
-
-    # fit_scan(DETx, 1, 3, detector_suffix='')
-    # fit_scan(armz, [-5,0], 5, detector_suffix='')
+# this code last worked ~2017
+# # %run -i /opt/ipython_profiles/profile_collection/startup/91-fit_scan.py
+#
+# # Define a 'fake' detector, for testing purposes
+# from bluesky.examples import Reader
+#
+# def fake_detector_response_peak():
+#     pos = armz.user_readback.value
+#     A = 1000.0
+#     x0 = -40.0
+#     sigma = 0.1
+#     I = A * np.exp(-((pos - x0) ** 2) / (2 * sigma**2)) + 10.0
+#
+#     return np.random.poisson(I)
+#
+# def fake_detector_response_edge():
+#     pos = armz.user_readback.value
+#     A = 1000.0
+#     x0 = -17.0
+#     sigma = 0.05
+#     I = A / (1 + np.exp(-(pos - x0) / (-sigma))) + 10.0
+#
+#     return np.random.poisson(I)
+#
+# # det = Reader( 'det', {'intensity': lambda: 1.0*( (DETx.user_readback.value - (-40.0))**2 )/(2.*(0.1)**2) } )
+# det = Reader("intensity", {"intensity": fake_detector_response_edge})
+# detselect(det)
+# # detselect(det, suffix='')
+#
+# # fit_scan(DETx, 1, 3, detector_suffix='')
+# # fit_scan(armz, [-5,0], 5, detector_suffix='')
 
 
 class MotorWait(CallbackBase):