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calibration
pycalibration
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e828b015
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e828b015
authored
1 year ago
by
Karim Ahmed
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add LPD_Mini_Inject_calibration_constants_from_h5files notebook
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[LPDMini] Feat: Inject gain constants notebook
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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Injecting LPD-Mini calibration constant data to the database\n",
"\n",
"Author: European XFEL Detector Group, Version: 1.0\n",
"\n",
"Reading h5files of LPD Mini's calibration constants to inject them to the database."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# calibration constant parameters:\n",
"constant_names = [\"\"] # calibration constant name, required.\n",
"in_folder = \"\" # calibration constants folder, required.\n",
"out_folder = \"\" # output folder to store report path in case the notebook is executed by CLI, required.\n",
"proposal = \"\" # Add proposal number to be sent to the database as a part of Raw data location.\n",
"runs = [\"\"] # Add list of runs to be sent to the database as a part of Raw data location.\n",
"\n",
"# detector parameters:\n",
"karabo_id = \"FXE_DET_LPD_MINI-1\" # detector identifier.\n",
"karabo_da = [\"all\"] # karabo data aggregators. default \"all\" for all 8 karabo data aggregator names.\n",
"\n",
"# calibration database parameters:\n",
"cal_db_interface = \"tcp://max-exfl016:8015#8045\" # calibration DB zmq address.\n",
"\n",
"# calibration constant conditions:\n",
"memory_cells = 512 # Number of memory cells. Used for constant conditions.\n",
"bias_voltage_0 = -1 # bias voltage for minis 1, 3, 5, 7; Setting -1 will read the value from files\n",
"bias_voltage_1 = -1 # bias voltage for minis 2, 4, 6, 8; Setting -1 will read the value from files\n",
"capacitor = 5 # capacitor value. Used for constant conditions.\n",
"photon_energy = 9.2 # calibration constant photon energy. Used for constant conditions.\n",
"creation_time = '2020-01-20T14:12:06' # creation time for the injected constants. required format '2019-01-20T14:12:06'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import multiprocessing\n",
"from datetime import datetime\n",
"from logging import warning\n",
"from pathlib import Path\n",
"from typing import List, Tuple\n",
"\n",
"import h5py # noqa \n",
"from cal_tools.tools import get_pdu_from_db, get_report, send_to_db\n",
"from iCalibrationDB import Conditions, Constants"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"pixels_x = 256\n",
"pixels_y = 32\n",
"category = 0 # Bad condition.\n",
"if karabo_da[0].lower() == \"all\":\n",
" karabo_da = [f\"LPDMINI00/{i:02d}\" for i in range(1, 9)]\n",
"\n",
"# if proposal or runs are given assign file_loc\n",
"# for calibration constant versions metadata.\n",
"file_loc = \"\"\n",
"if proposal:\n",
" file_loc += f\"proposal:{proposal}\"\n",
"if runs[0] != \"\":\n",
" file_loc += f\"runs: {runs}\"\n",
"\n",
"if file_loc == \"\":\n",
" print(\n",
" \"No proposal or runs were given for constant source.\"\n",
" \" No \\\"Raw data location\\\" will be injected with the constants.\\n\"\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def validate_input_paths(\n",
" in_folder: str,\n",
" creation_time: str,\n",
" constant_names: List[str],\n",
") -> Tuple[str, datetime]:\n",
"\n",
" # Validate input parameters:\n",
" if not (in_folder):\n",
" raise ValueError(\n",
" \"ERROR: \\\"in_folder\\\" is not given.\"\n",
" \" Please provide the constants input folder.\"\n",
" )\n",
"\n",
" c_folder = Path(in_folder)\n",
"\n",
" if not c_folder.is_dir():\n",
" raise ValueError(\n",
" f\"ERROR: in_folder {in_folder} directory doesn't exist.\"\n",
" )\n",
"\n",
" try:\n",
" creation_time = datetime.strptime(creation_time, '%Y-%m-%dT%H:%M:%S')\n",
" except ValueError:\n",
" raise ValueError(\n",
" \"Incorrect data format, \"\n",
" \"should be YYYY-MM-DDTHH:MM:SS i.e. 2019-01-20T14:12:06\"\n",
" )\n",
"\n",
" for constant in constant_names:\n",
" if not hasattr(Constants.LPD, constant):\n",
" raise ValueError(\n",
" f\"ERROR: Constant name \\\"{constant}\\\" is not a known LPD constant. \"\n",
" f\"Available LPD Constants are {[c for c in dir(Constants.LPD) if c[0] != '_']}\"\n",
" )\n",
" return c_folder, creation_time"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def inject_constants(\n",
" constant_name: str,\n",
" mod_da: str,\n",
" physical_unit: str,\n",
"):\n",
" mod_num = int(mod_da.split('/')[-1])\n",
" # mod_num is from 1 to 8, so b_v_0 applies to odd numbers\n",
" bias_voltage = bias_voltage_0 if mod_num % 2 == 1 else bias_voltage_1\n",
" # Calibration constants condition object.\n",
" condition = Conditions.Illuminated.LPD(\n",
" memory_cells=memory_cells,\n",
" bias_voltage=bias_voltage,\n",
" photon_energy=photon_energy,\n",
" pixels_x=pixels_x,\n",
" pixels_y=pixels_y,\n",
" capacitor=capacitor,\n",
" category=category,\n",
" )\n",
" constant = getattr(Constants.LPD, constant_name)()\n",
"\n",
" cfile = c_folder / f\"{constant_name}_{mod_da.replace('/', '_')}.h5\"\n",
"\n",
" if not cfile.exists():\n",
" warning(f\"Constant file {cfile} doesn't exist.\\n\")\n",
" return\n",
"\n",
" # load constant data.\n",
" with h5py.File(cfile, \"r\") as f:\n",
" cdata = f[constant_name][()]\n",
"\n",
" # Validate for only LPD at the moment.\n",
" if not cdata.shape == (memory_cells, pixels_y, pixels_x, 3):\n",
" raise ValueError(\n",
" f\"ERROR: {const} constant data shape is not as expected.\"\n",
" f\" {cdata.shape} != ({memory_cells}, {pixels_y}, {pixels_x}, 3).\\n\"\n",
" )\n",
" constant.data = cdata\n",
"\n",
" send_to_db(\n",
" db_module=physical_unit,\n",
" karabo_id=karabo_id,\n",
" constant=constant,\n",
" condition=condition,\n",
" file_loc=file_loc,\n",
" report_path=report_path,\n",
" cal_db_interface=cal_db_interface,\n",
" creation_time=creation_time,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"c_folder, creation_time = validate_input_paths(\n",
" in_folder,\n",
" creation_time,\n",
" constant_names,\n",
")\n",
"\n",
"# create a report path for calibration constant versions metadata.\n",
"report_name = f\"No_report/LPD_{datetime.now().strftime('%Y-%m-%dT%H:%M:%S')}\"\n",
"report_path = get_report(\n",
" out_folder=in_folder,\n",
" default_path=report_name\n",
")\n",
"\n",
"# Calibration constants condition object.\n",
"condition = Conditions.Illuminated.LPD(\n",
" memory_cells=memory_cells,\n",
" bias_voltage=bias_voltage_0,\n",
" photon_energy=photon_energy,\n",
" pixels_x=pixels_x,\n",
" pixels_y=pixels_y,\n",
" capacitor=capacitor,\n",
" category=category,\n",
")\n",
"\n",
"# Retrieve all physical detector units for the given karabo_da list.\n",
"physical_units = get_pdu_from_db(\n",
" karabo_id=karabo_id,\n",
" karabo_da=karabo_da,\n",
" constant=getattr(Constants.LPD, constant_names[0])(),\n",
" condition=condition,\n",
" cal_db_interface=cal_db_interface,\n",
" snapshot_at=creation_time\n",
")\n",
"\n",
"mod_mapping = dict(zip(karabo_da, physical_units))\n",
"print(\"Physical detector units retrieved are: \", mod_mapping, \"\\n\")\n",
"\n",
"inp = []\n",
"for const in constant_names:\n",
" for k_da, pdu in mod_mapping.items():\n",
" inp.append((const, k_da, pdu))\n",
"\n",
"with multiprocessing.Pool(processes=5) as pool:\n",
" results = pool.starmap(inject_constants, inp)"
]
}
],
"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",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
%% Cell type:markdown id: tags:
# Injecting LPD-Mini calibration constant data to the database
Author: European XFEL Detector Group, Version: 1.0
Reading h5files of LPD Mini's calibration constants to inject them to the database.
%% Cell type:code id: tags:
```
python
# calibration constant parameters:
constant_names
=
[
""
]
# calibration constant name, required.
in_folder
=
""
# calibration constants folder, required.
out_folder
=
""
# output folder to store report path in case the notebook is executed by CLI, required.
proposal
=
""
# Add proposal number to be sent to the database as a part of Raw data location.
runs
=
[
""
]
# Add list of runs to be sent to the database as a part of Raw data location.
# detector parameters:
karabo_id
=
"
FXE_DET_LPD_MINI-1
"
# detector identifier.
karabo_da
=
[
"
all
"
]
# karabo data aggregators. default "all" for all 8 karabo data aggregator names.
# calibration database parameters:
cal_db_interface
=
"
tcp://max-exfl016:8015#8045
"
# calibration DB zmq address.
# calibration constant conditions:
memory_cells
=
512
# Number of memory cells. Used for constant conditions.
bias_voltage_0
=
-
1
# bias voltage for minis 1, 3, 5, 7; Setting -1 will read the value from files
bias_voltage_1
=
-
1
# bias voltage for minis 2, 4, 6, 8; Setting -1 will read the value from files
capacitor
=
5
# capacitor value. Used for constant conditions.
photon_energy
=
9.2
# calibration constant photon energy. Used for constant conditions.
creation_time
=
'
2020-01-20T14:12:06
'
# creation time for the injected constants. required format '2019-01-20T14:12:06'
```
%% Cell type:code id: tags:
```
python
import
multiprocessing
from
datetime
import
datetime
from
logging
import
warning
from
pathlib
import
Path
from
typing
import
List
,
Tuple
import
h5py
# noqa
from
cal_tools.tools
import
get_pdu_from_db
,
get_report
,
send_to_db
from
iCalibrationDB
import
Conditions
,
Constants
```
%% Cell type:code id: tags:
```
python
pixels_x
=
256
pixels_y
=
32
category
=
0
# Bad condition.
if
karabo_da
[
0
].
lower
()
==
"
all
"
:
karabo_da
=
[
f
"
LPDMINI00/
{
i
:
02
d
}
"
for
i
in
range
(
1
,
9
)]
# if proposal or runs are given assign file_loc
# for calibration constant versions metadata.
file_loc
=
""
if
proposal
:
file_loc
+=
f
"
proposal:
{
proposal
}
"
if
runs
[
0
]
!=
""
:
file_loc
+=
f
"
runs:
{
runs
}
"
if
file_loc
==
""
:
print
(
"
No proposal or runs were given for constant source.
"
"
No
\"
Raw data location
\"
will be injected with the constants.
\n
"
)
```
%% Cell type:code id: tags:
```
python
def
validate_input_paths
(
in_folder
:
str
,
creation_time
:
str
,
constant_names
:
List
[
str
],
)
->
Tuple
[
str
,
datetime
]:
# Validate input parameters:
if
not
(
in_folder
):
raise
ValueError
(
"
ERROR:
\"
in_folder
\"
is not given.
"
"
Please provide the constants input folder.
"
)
c_folder
=
Path
(
in_folder
)
if
not
c_folder
.
is_dir
():
raise
ValueError
(
f
"
ERROR: in_folder
{
in_folder
}
directory doesn
'
t exist.
"
)
try
:
creation_time
=
datetime
.
strptime
(
creation_time
,
'
%Y-%m-%dT%H:%M:%S
'
)
except
ValueError
:
raise
ValueError
(
"
Incorrect data format,
"
"
should be YYYY-MM-DDTHH:MM:SS i.e. 2019-01-20T14:12:06
"
)
for
constant
in
constant_names
:
if
not
hasattr
(
Constants
.
LPD
,
constant
):
raise
ValueError
(
f
"
ERROR: Constant name
\"
{
constant
}
\"
is not a known LPD constant.
"
f
"
Available LPD Constants are
{
[
c
for
c
in
dir
(
Constants
.
LPD
)
if
c
[
0
]
!
=
'
_
'
]
}
"
)
return
c_folder
,
creation_time
```
%% Cell type:code id: tags:
```
python
def
inject_constants
(
constant_name
:
str
,
mod_da
:
str
,
physical_unit
:
str
,
):
mod_num
=
int
(
mod_da
.
split
(
'
/
'
)[
-
1
])
# mod_num is from 1 to 8, so b_v_0 applies to odd numbers
bias_voltage
=
bias_voltage_0
if
mod_num
%
2
==
1
else
bias_voltage_1
# Calibration constants condition object.
condition
=
Conditions
.
Illuminated
.
LPD
(
memory_cells
=
memory_cells
,
bias_voltage
=
bias_voltage
,
photon_energy
=
photon_energy
,
pixels_x
=
pixels_x
,
pixels_y
=
pixels_y
,
capacitor
=
capacitor
,
category
=
category
,
)
constant
=
getattr
(
Constants
.
LPD
,
constant_name
)()
cfile
=
c_folder
/
f
"
{
constant_name
}
_
{
mod_da
.
replace
(
'
/
'
,
'
_
'
)
}
.h5
"
if
not
cfile
.
exists
():
warning
(
f
"
Constant file
{
cfile
}
doesn
'
t exist.
\n
"
)
return
# load constant data.
with
h5py
.
File
(
cfile
,
"
r
"
)
as
f
:
cdata
=
f
[
constant_name
][()]
# Validate for only LPD at the moment.
if
not
cdata
.
shape
==
(
memory_cells
,
pixels_y
,
pixels_x
,
3
):
raise
ValueError
(
f
"
ERROR:
{
const
}
constant data shape is not as expected.
"
f
"
{
cdata
.
shape
}
!= (
{
memory_cells
}
,
{
pixels_y
}
,
{
pixels_x
}
, 3).
\n
"
)
constant
.
data
=
cdata
send_to_db
(
db_module
=
physical_unit
,
karabo_id
=
karabo_id
,
constant
=
constant
,
condition
=
condition
,
file_loc
=
file_loc
,
report_path
=
report_path
,
cal_db_interface
=
cal_db_interface
,
creation_time
=
creation_time
,
)
```
%% Cell type:code id: tags:
```
python
c_folder
,
creation_time
=
validate_input_paths
(
in_folder
,
creation_time
,
constant_names
,
)
# create a report path for calibration constant versions metadata.
report_name
=
f
"
No_report/LPD_
{
datetime
.
now
().
strftime
(
'
%Y-%m-%dT%H
:
%
M
:
%
S
'
)
}
"
report_path
=
get_report
(
out_folder
=
in_folder
,
default_path
=
report_name
)
# Calibration constants condition object.
condition
=
Conditions
.
Illuminated
.
LPD
(
memory_cells
=
memory_cells
,
bias_voltage
=
bias_voltage_0
,
photon_energy
=
photon_energy
,
pixels_x
=
pixels_x
,
pixels_y
=
pixels_y
,
capacitor
=
capacitor
,
category
=
category
,
)
# Retrieve all physical detector units for the given karabo_da list.
physical_units
=
get_pdu_from_db
(
karabo_id
=
karabo_id
,
karabo_da
=
karabo_da
,
constant
=
getattr
(
Constants
.
LPD
,
constant_names
[
0
])(),
condition
=
condition
,
cal_db_interface
=
cal_db_interface
,
snapshot_at
=
creation_time
)
mod_mapping
=
dict
(
zip
(
karabo_da
,
physical_units
))
print
(
"
Physical detector units retrieved are:
"
,
mod_mapping
,
"
\n
"
)
inp
=
[]
for
const
in
constant_names
:
for
k_da
,
pdu
in
mod_mapping
.
items
():
inp
.
append
((
const
,
k_da
,
pdu
))
with
multiprocessing
.
Pool
(
processes
=
5
)
as
pool
:
results
=
pool
.
starmap
(
inject_constants
,
inp
)
```
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