Newer
Older
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Constants from DB to HDF5 #\n",
"\n",
"Version 0.1, Author: S. Hauf\n",
"\n",
"Currently available instances are LPD1M1 and AGIPD1M1"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"detector_instance = \"LPD1M1\" # the detector instance to get constants for e.g. LPD1M1, required\n",
"out_file = \"/gpfs/exfel/data/scratch/haufs/test/test.h5\" # HDF5 file to output constants into, required\n",
"valid_at = \"\" # ISO formatted date for which constants shoudl be valid. Leave empty to get most current ones\n",
"cal_db_interface = \"tcp://max-exfl015:5005\"\n",
"modules = [-1] # modules to get data from, in terms of numerical quadrant indices, range allowed"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"dtype = \"LPD\" if \"LPD\" in detector_instance.upper() else \"AGIPD\"\n",
"darkconst = [\"Offset\", \"Noise\", \"SlopesPC\", \"SlopesCI\", \"BadPixelsDark\", \"BadPixelsPC\", \"BadPixelsCI\"]\n",
"skip = [\"BadPixels\"]\n",
"\n",
"overwrites = {\"LPD\": {\"SlopesFF\": {\"memory_cells\": 1},\n",
" \"BadPixelsFF\": {\"memory_cells\": 1}}}\n",
"\n",
"if modules[0] == -1:\n",
" modules = list(range(16))"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import copy\n",
"import datetime\n",
"import inspect\n",
"\n",
"import h5py\n",
"from iCalibrationDB import Conditions, ConstantMetaData, Constants, Detectors, Versions\n",
"\n",
"\n",
"def extend_parms(detector_instance):\n",
" import inspect\n",
"\n",
" from iCalibrationDB import Conditions\n",
" existing = set()\n",
" def extract_parms(cls):\n",
" args, varargs, varkw, defaults = inspect.getargspec(cls.__init__)\n",
" pList = [] \n",
" for i, arg in enumerate(args[1:][::-1]):\n",
" if arg in existing:\n",
" continue\n",
" \n",
" existing.add(arg)\n",
" \n",
" if i < len(defaults):\n",
" default = defaults[::-1][i] \n",
" if str(default).isdigit():\n",
" pList.append(\"{} = {}\".format(arg, default))\n",
" elif default is None or default == \"None\":\n",
" pList.append(\"{} = \\\"None\\\"\".format(arg))\n",
" else:\n",
" pList.append(\"{} = \\\"{}\\\"\".format(arg, default))\n",
" else:\n",
" pList.append(\"{} = 0. # required\".format(arg))\n",
" return set(pList[::-1]) # mandatories first\n",
" dtype = \"LPD\" if \"LPD\" in detector_instance.upper() else \"AGIPD\"\n",
" all_conditions = set()\n",
" for c in dir(Conditions):\n",
" if c[:2] != \"__\":\n",
" condition = getattr(Conditions, c)\n",
" parms = extract_parms(getattr(condition, dtype))\n",
" [all_conditions.add(p) for p in parms]\n",
" return \"\\n\".join(all_conditions)"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"det = getattr(Detectors, detector_instance)"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"ip = get_ipython()"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"first_cell = next(ip.history_manager.get_range(ip.history_manager.get_last_session_id(), 1, 2, raw=True))"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"_, _, code = first_cell\n",
"code = code.split(\"\\n\")\n",
"parms = {}\n",
"for c in code:\n",
" n, v = c.split(\"=\")\n",
" n = n.strip()\n",
" v = v.strip()\n",
" try:\n",
" parms[n] = float(v)\n",
" except:\n",
" parms[n] = str(v) if not isinstance(v, str) else v\n",
" if parms[n] == \"None\" or parms[n] == \"'None'\":\n",
" parms[n] = None"
]
},
{
"cell_type": "code",
"metadata": {
"collapsed": false
},
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
"source": [
"ofile = h5py.File(out_file, \"w\")\n",
"\n",
"detector = getattr(Detectors, detector_instance)\n",
"for i in modules:\n",
" qm = \"Q{}M{}\".format(i//4+1, i%4+1)\n",
" module = getattr(detector, qm)\n",
" dconstants = getattr(Constants, dtype)\n",
" for const in dir(dconstants):\n",
" if const[:2] != \"__\":\n",
" \n",
" if const in skip:\n",
" continue\n",
" \n",
" cparms = copy.copy(parms)\n",
" if dtype in overwrites:\n",
" do = overwrites[dtype]\n",
" if const in do:\n",
" for arg, v in do[const].items():\n",
" cparms[arg] = v\n",
" \n",
" try:\n",
" metadata = ConstantMetaData()\n",
" cons = getattr(dconstants, const)()\n",
" metadata.calibration_constant = cons\n",
"\n",
" # set the operating condition\n",
"\n",
" cond = Conditions.Dark if const in darkconst else Conditions.Illuminated\n",
"\n",
" condition = getattr(cond, dtype)\n",
"\n",
" args, varargs, varkw, defaults = inspect.getargspec(condition.__init__)\n",
" alist = []\n",
" plist = {}\n",
" for i, arg in enumerate(args[1:][::-1]):\n",
" #if i < len(defaults):\n",
" # plist[arg] = parms[arg]\n",
" #else:\n",
" # alist.append(parms[arg])\n",
" plist[arg] = cparms[arg]\n",
"\n",
"\n",
" condition = condition(**plist)\n",
"\n",
" metadata.detector_condition = condition\n",
"\n",
" # specify the a version for this constant\n",
" if valid_at is None or valid_at == \"\":\n",
" creation_time = datetime.datetime.now()\n",
" metadata.calibration_constant_version = Versions.Now(\n",
" device=module)\n",
" else:\n",
" metadata.calibration_constant_version = Versions.Timespan(\n",
" device=module,\n",
" start=valid_at)\n",
" creation_time = valid_at\n",
"\n",
" ctime = creation_time.isoformat() if not isinstance(creation_time, str) else creation_time\n",
"\n",
" metadata.retrieve(cal_db_interface, when=ctime)\n",
" \n",
" ofile[\"{}/{}/data\".format(qm, const)] = metadata.calibration_constant.data\n",
" except Exception as e:\n",
" print(\"Failed for const {} of {}: {}\".format(const, qm, e))\n",
"ofile.close() "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
}
},
"nbformat": 4,
"nbformat_minor": 2
}