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ID Date Authordown Topic Subject
  2702   03 Feb 2024 Pavel MuratBug Reportstring --> int64 conversion in the python interface ?
Dear MIDAS experts,

I gave a try to the MIDAS python interface and ran all tests available in midas/python/tests.
Two Int64 tests from test_odb.py had failed (see below), everthong else - succeeded

I'm using a ~ 2.5 weeks-old commit and python 3.9 on SL7 Linux platform.

commit c19b4e696400ee437d8790b7d3819051f66da62d (HEAD -> develop, origin/develop, origin/HEAD)
Author: Zaher Salman <zaher.salman@gmail.com>
Date:   Sun Jan 14 13:18:48 2024 +0100

The symptoms are consistent with a string --> int64 conversion not happening 
where it is needed. 

Perhaps the issue have already been fixed? 

-- many thanks, regards, Pasha
-------------------------------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 178, in testInt64
    self.set_and_readback_from_parent_dir("/pytest", "int64_2", [123, 40000000000000000], midas.TID_INT64, True)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 130, in set_and_readback_from_parent_dir
    self.validate_readback(value, retval[key_name], expected_key_type)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 87, in validate_readback
    self.assert_equal(val, retval[i], expected_key_type)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 60, in assert_equal
    self.assertEqual(val1, val2)
AssertionError: 123 != '123'

with the test on line 178 commented out, the test on the next line fails in a similar way:
        
Traceback (most recent call last):
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 179, in testInt64
    self.set_and_readback_from_parent_dir("/pytest", "int64_2", 37, midas.TID_INT64, True)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 130, in set_and_readback_from_parent_dir
    self.validate_readback(value, retval[key_name], expected_key_type)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 102, in validate_readback
    self.assert_equal(value, retval, expected_key_type)
  File "/home/mu2etrk/test_stand/pasha_020/midas/python/tests/test_odb.py", line 60, in assert_equal
    self.assertEqual(val1, val2)
AssertionError: 37 != '37'
---------------------------------------------------------------------------
  2704   05 Feb 2024 Pavel MuratForumforbidden equipment names ?
Dear MIDAS experts,

I have multiple daq nodes with two data receiving FPGAs on the PCIe bus each. 
The FPGAs come under the names of DTC0 and DTC1. Both FPGAs are managed by the same slow control frontend. 
To distinguish FPGAs of different nodes from each other, I included the hostname to the equipment name, 
so for node=mu2edaq09 the FPGA names are 'mu2edaq09:DTC0' and 'mu2edaq09:DTC1'. 

The history system didn't like the names, complaining that 

21:26:06.334 2024/02/05 [Logger,ERROR] [mlogger.cxx:5142:open_history,ERROR] Equipment name 'mu2edaq09:DTC1' 
contains characters ':', this may break the history system

So the question is : what are the safe equipment/driver naming rules and what characters 
are not allowed in them? - I think this is worth documenting, and the current MIDAS docs at 
 
https://daq00.triumf.ca/MidasWiki/index.php/Equipment_List_Parameters#Equipment_Name 

don't say much about it.

-- many thanks, regards, Pasha
  2706   11 Feb 2024 Pavel MuratForumnumber of entries in a given ODB subdirectory ?
> For ODB keys of type TID_KEY, the value num_values IS the number of subkeys. 

this logic makes sense, however it doesn't seem to be consistent with the printout of the test example
at the end of https://daq00.triumf.ca/elog-midas/Midas/240203_095803/a.cc . The printout reports 

key.num_values = 1, but the actual number of subkeys = 6, and all subkeys being of TID_KEY type

I'm certain that the ODB subtree in question was not accessed concurrently during the test.

-- regards, Pasha
  2717   19 Feb 2024 Pavel MuratForumnumber of entries in a given ODB subdirectory ?
> > Hmm... is there any use case where you want to know the number of directory entries, but you will not iterate 
> > over them later?
> 
> I agree. 

here comes the use case: 

I have a slow control frontend which monitors several DAQ components - software processes. 
The components are listed in the system configuration stored in ODB, a subkey per component.

Each component has its own driver, so the length of the driver list, defined by the number of components, 
needs to be determined at run time.

I calculate the number of components by iterating over the list of component subkeys in the system configuration, 
allocate space for the driver list, and store the pointer to the driver list in the equipment record.

The approach works, but it does require pre-calculating the number of subkeys of a given key.

-- regards, Pasha
  2719   27 Feb 2024 Pavel MuratForumdisplaying integers in hex format ?
Dear MIDAS Experts,

I'm having an odd problem when trying to display an integer stored in ODB on a custom 
web page:  the hex specifier, "%x", displays integers as if it were "%d" .

- attachment 1 shows the layout and the contents of the ODB sub-tree in question
- attachment 2 shows the web page as it is displayed
- attachment 3 shows the snippet of html/js producing the web page

I bet I'm missing smth trivial - an advice is greatly appreciated! 

Also, is there an equivalent of a "0x%04x" specifier to have the output formatted 
into a fixed length string ?  

-- thanks, regards, Pasha
Attachment 1: 2024_02_27_dtc_registers_in_odb.png
2024_02_27_dtc_registers_in_odb.png
Attachment 2: 2024_02_27_custom_page.png
2024_02_27_custom_page.png
Attachment 3: 2024_02_27_custom_page_html.png
2024_02_27_custom_page_html.png
  2721   27 Feb 2024 Pavel MuratForumdisplaying integers in hex format ?
Hi Stefan (and Ben),

thanks for reacting so promptly - your commits on Bitbucket fixed the problem.

For those of us who knows little about how the web browsers work: 

- picking up the fix required flushing the cache of the MIDAS client web browser - apparently the web browser 
  I'm using - Firefox 115.6 - cached the old version of midas.js but wouldn't report it cached and wouldn't load 
  the updated file on its own.

-- thanks again, regards, Pasha
  2787   04 Jul 2024 Pavel MuratSuggestioncmake-installing more files ?
Dear all, 

this posting results from the Fermilab move to a new packaging/build system called spack 
which doesn't allow to use the MIDAS install procedure described at

https://daq00.triumf.ca/MidasWiki/index.php/Quickstart_Linux#MIDAS_Package_Installation

as is. Spack specifics aside, building MIDAS under spack took  
a) adding cmake install for three directories: drivers, resources, and python/midas, 
b) adding one more include file - include/tinyexpr.h - to the list of includes installed by cmake.

With those changes I was able to point MIDASSYS to the spack install area and successfully run mhttpd, 
build experiment-specific C++ frontends and drivers, use experiment-specific python frontends etc. 
I'm not using anything from MIDAS submodules though.

I'm wondering what the experts would think about accepting the changes above to the main tree. 

Installation procedures and changed to cmake files are always a sensitive area with a lot of boundary 
constraints coming from the existing use patterns, and even a minor change could have unexpected consequences
So I wouldn't be surprised if the fairly minor changes outlined above had side effects.

The patch file is attached for consideration.

-- regards, Pasha
Attachment 1: midas-spack.patch 
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 3c6a4109..57dab96f 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -642,6 +642,7 @@ else()
       include/musbstd.h
       include/mvmestd.h
       include/odbxx.h
+      include/tinyexpr.h
       include/tmfe.h
       include/tmfe_rev0.h
       mxml/mxml.h
@@ -657,6 +658,9 @@ install(TARGETS midas midas-shared midas-c-compat mfe mana rmana
         
 install(EXPORT ${PROJECT_NAME}-targets DESTINATION lib)
 
+install(DIRECTORY drivers       DESTINATION .     )
+install(DIRECTORY resources     DESTINATION .     )
+install(DIRECTORY python/midas  DESTINATION python)
 #####################################################################
 # generate git revision file
 #####################################################################
  2903   24 Nov 2024 Pavel MuratBug ReportODB lock timeout, Difficulty running MIDAS on Rocky 9.4
there is a really good software tool developed by the Fermilab DAQ group, called TRACE - 

https://github.com/art-daq/trace ,

It could be useful for debugging cases like this one. In short, TRACE instruments the code 
with the printouts which could be selectively turned on and off without recompiling the executable. 

TRACE output could go to /dev/stdout (slow output) and/or to a circular buffer implemented via a shared 
memory segment (fast output). Sending unlimited output to the shared memory segment is extremely useful.

TRACE also allows to trigger on certain conditions, again, w/o recompiling the executable. 
For debugging cases like the one in question, that could turn out even more useful, 
however I didn't try the triggering functionality myself. 

-- regards, Pasha
  2909   30 Nov 2024 Pavel MuratBug ReportEQ_PERIODIC-only equipment ? 
Dear Midas experts, 

I'm running into something which looks like an initialization problem. 
I have a mfe.cxx-style frontend which introduces an equipment of the EQ_PERIODIC type (EQ_PERIODIC-only!). 
When Midas enters the running state, I see the frontend crashing. 
Stepping through the code shows that the frontend is crashing because its equipment has been ignored 
by the initialize_equipment@mfe.cxx - see
 
https://bitbucket.org/tmidas/midas/src/5d0dae001712164ae43137dced2fbbb594f0201e/src/mfe.cxx#lines-630

Is there an assumption that the initialization of the EQ_PERIODIC-only equipment is the user responsibility? 
Or EQ_PERIODIC should always come paired with some other type?

-- many thanks, regards, Pasha
  2911   01 Dec 2024 Pavel MuratBug ReportEQ_PERIODIC-only equipment ? 
> There is no requirement that you pair an EQ_PERIODIC with an EQ_TRIGGER. Take for exmaple
> 
>   midas/examples/experiment/frontend.cxx
> 
> and remove there the triggered event. The frontend runs happily with the periodic event only (I just tried that myself). You have probably some problem in 
> your event definition. Start with the running example frontend, and add your code line by line until you see the problem.

Hi Stefan, thank you very much! 

As the pointer to the readout function and pointers to device drivers are all defined in the same structure (EQUIPMENT), 
I was naively assuming that the readout function should be set during the class driver initialization.
Now it is clear that the equipment responding to EQ_PERIODIC events doesn't have to have drivers, 
and specifying the readout function is the responsibility of the user.

I got around exactly this way yesterday, but was thinking that I was hacking the system :)
 
-- regards, Pasha
  2926   29 Dec 2024 Pavel MuratForumtime ordering of run transition calls to TMFeEquipment things
Dear MIDAS experts, 

I have a question about "tmfe approach" to implementing MIDAS frontends. If I read the code correctly, 
within this approach it is the TMFeEquipment things, not the TMFrontend's themselves, 
which handle the run transitions - the TMFrontend class 

https://bitbucket.org/tmidas/midas/src/423082fb67c7711813fcda61f7cd03784c398f49/include/tmfe.h#lines-306:378

simply doesn't have methods to handle those directly. 

So how does a user control the sequence in which TMFeEquipment::HandleBeginRun functions of different 
TMFeEquipment pieces are called at begin run? - there are two cases to consider: TMFeEquipment things 
defined by the same TMFrontend and by different TMFrontend's.

Many thanks and happy holidays to everyone! 

-- regards, Pasha
  2928   02 Jan 2025 Pavel MuratForumtime ordering of run transition calls to TMFeEquipment things
Hi K.O., your clarification is much appreciated! 
"
> I am not sure what you are trying to do. It is always easier to suggest a solution to a specific problem.

I think, I owe you an explanation :) :

Consider ~ 40 nodes with two FPGAs (PCIE cards) per node, talking to the detector hardware. 
One of those FPGAs, in addition to reading the data, performs the global timing synchronization.
The high-bandwidth data readout is not controlled by MIDAS, so all frontends perform only 'slow control'-type functions.
In MIDAS language, an FPGA implements two different units of slow control equipment: 
one - configuring and controlling a single FPGA (equipment type A), and another one - synchronizing 
multiple FPGAs (equipment type B). On one of the nodes, unit A and unit B share the FPGA card, 
so they better be controlled by the same frontend. 

For one, I need to make sure that all type A equipment units, managed by multiple frontends, 
are initialized before the [single] type B unit which shares the frontend with the type A unit. 
And, of course, the end of a run transition has to be handled in the opposite order - type B unit 
shuts down first. 

As 'periodic' actions for all registered pieces of equipment are performed in the same loop [thread], 
registering the equipment in the needed order - first A, then B - should give a solution - thanks for making that clear.     

> 
> 1) "time ordering of run transitions" - of course midas transitions are ordered by transition sequence numbers 
> and the tmfe class provides methods to control this. ditto for the mfe.cxx frontends.
> 
> 2) for one TMFrontend, the order of calling HandleBeginRun() is the order in which equipments were added to the 
> equipment using FeAddEquipment(). HandleEndRun() is called in reverse order. (I better check this).

the ordering of the rpc handler calls in tmfe's tr_stop/tr_pause/tr_resume functions is ok.

> 
> 3) to have multiple TMFrontends in one program would be unusual (mfe.cxx frontends completely do not support 
> this), but should work. Everything was coded to support this, but it was never tested in practice because we 
> cannot invent any useful use-case for it. HandleBeginRun() handlers are likely to be called in the frontends are 
> created. (I could check this and confirm it works, as long as you have a valid use-case for this configuration).

agreed, I don't think there is a good use case for that, so no need to spend time checking.

> 
> 4) Frontend X has EquipmentA and EquipmentB, you want EqA::HandleBeginRun() to be called at run transition 200 
> and EqB::HandleBeginRun() to be called at run transition 400.
> 
> This is not directly supported by mfe.cxx frontends (the begin_run() handler is a global function) and I did not 
> directly implement it in the TMFE frontend.
> 
> But I think this would be a useful improvement. I will look into this. 

In the simplest case, registering the equipment units in the right order is definitely the answer. 
However a single FPGA can perform multiple logically independent tasks and thus represent 
multiple logical units of equipment. Those units however are not independent: they share the hardware (FPGA) 
and thus do depend on each other. Giving users a full control over the sequence in which those logical units 
execute their run transitions is quite likely to be needed, for example, to work around peculiarities of the 
custom-made kernel drivers.
 
> 
> Likely I will add per-equipment data members fEqConfBeginRunSeqNo, fEqConfEndRunSeqno, etc. Value 0 would 
> unregister the corresponding run transition handler. This would cleanup the code quite a bit, a bunch
> of RegisterTranstionXXX functions could go away.

this also makes sense. -- thanks again, regards, Pasha

> 
> K.O.
  2932   18 Jan 2025 Pavel MuratForummjsonrpc: how to increase the max allowed length of the callback response ?
Dear MIDAS experts,

I'm using MIDAS javascript interface (mjsonrpc) to communicate with a frontend from a custom web page 
and observe that the if the frontend's response exceeds certain number of bytes, it is always truncated. 

MIDAS C/C++ RPC interface allows users to specify the max response length :

https://daq00.triumf.ca/MidasWiki/index.php/Remote_Procedure_Calls_(RPC)#C++_2

How would one do the same from with mjsonrpc ? 

-- many thanks, regards, Pasha
  2934   30 Jan 2025 Pavel MuratForumconverting non-MIDAS slow control data into MIDAS history format ?
Dear MIDAS experts,

I have a time series of slow control measurements in an ASCII format - 
data records in a format (run_number, time, temperature, voltage1, ..., voltageN), 
and, if possible, would like to convert them into a MIDAS history format. 

Making MIDAS events out of that data is easy, but is it possible to preserve 
the time stamps?  - Logically, this boils down to whether it is possible to have  
the event time set by a user frontend

-- as always - many thanks, regards, Pasha
  2935   31 Jan 2025 Pavel MuratForumconverting non-MIDAS slow control data into MIDAS history format ?
I think I found an answer to my question: a user-controlled event header does have a time stamp: 

https://daq00.triumf.ca/MidasWiki/index.php/Event_Structure#Event_Header

-- apologies for the spam, regards, Pasha
  2936   01 Feb 2025 Pavel MuratBug ReportMIDAS history system not using the event timestamps ?
> I have a time series of slow control measurements in an ASCII format - 
> data records in a format (run_number, time, temperature, voltage1, ..., voltageN), 
> and, if possible, would like to convert them into a MIDAS history format. 
> 
> Making MIDAS events out of that data is easy, but is it possible to preserve 
> the time stamps?  - Logically, this boils down to whether it is possible to have  
> the event time set by a user frontend

It looks that the original question was not as naive as I expected and may be pointing to a subtle bug. 
I have implemented a python frontend - essentially a clone of 

https://bitbucket.org/tmidas/midas/src/develop/python/midas/frontend.py

reading the old slow control data and setting the event.header.timestamp's to some dates from the year of 2022. 

When I run MIDAS and read the "old slow control events", one event in 10 seconds, 
the MIDAS Event Dump utility shows the data with the correct event timestamps, from the year of 2022. 

However the history plots show the event parameters with the timestamps from Feb 01 2025 and the adjacent 
data points separated by 10 sec.

Is it possible that the history system uses its own timestamp setting instead of using timestamps from the event headers? 
- Under normal circumstances, the two should be very close, and that could've kept the issue hidden... 

-- thanks, regards, Pasha

UPDATE:  I attached the frontend code and the input data file it is reading. The data file should reside in the local directory
- the frontend code doesn't have everything fully automated for the test, 
  -- an integer field "/Mu2e/Offline/Ops/LastTime" would need to be created manually
  -- the history plots would need to be declared manually
Attachment 1: test_frontend.py 
#!/usr/bin/env python

"""
Example of a basic midas frontend that has one periodic equipment.

See `examples/multi_frontend.py` for an example that uses more
features (frontend index, polled equipment, ODB settings etc). 
"""

import midas
import midas.frontend
import midas.event
import time, os, sys
from   datetime import datetime

#import TRACE
#TRACE_NAME = 'test_frontend.py'

class MyPeriodicEquipment(midas.frontend.EquipmentBase):
    """
    We define an "equipment" for each logically distinct task that this frontend
    performs. For example, you may have one equipment for reading data from a
    device and sending it to a midas buffer, and another equipment that updates
    summary statistics every 10s.
    
    Each equipment class you define should inherit from 
    `midas.frontend.EquipmentBase`, and should define a `readout_func` function.
    If you're creating a "polled" equipment (rather than a periodic one), you
    should also define a `poll_func` function in addition to `readout_func`.
    """
    def __init__(self, client):
        # The name of our equipment. This name will be used on the midas status
        # page, and our info will appear in /Equipment/MyPeriodicEquipment in
        # the ODB.
        equip_name = "MyPeriodicEquipment"
        
        # Define the "common" settings of a frontend. These will appear in
        # /Equipment/MyPeriodicEquipment/Common. The values you set here are
        # only used the very first time this frontend/equipment runs; after 
        # that the ODB settings are used.
        
        default_common              = midas.frontend.InitialEquipmentCommon()
        default_common.equip_type   = midas.EQ_PERIODIC
        default_common.buffer_name  = "SYSTEM"
        default_common.trigger_mask = 0
        default_common.event_id     = 1
        default_common.period_ms    = 100
        default_common.read_when    = midas.RO_ALWAYS
        default_common.log_history  = 1
        
        # You MUST call midas.frontend.EquipmentBase.__init__ in your equipment's __init__ method!
        midas.frontend.EquipmentBase.__init__(self, client, equip_name, default_common)
        
        # You can set the status of the equipment (appears in the midas status page)
        self.set_status("Initialized")
        self._verbose = 1;
        
# ---------------------------------------------------------------------
    def Print(self,Name,level,Message):
        if(level>self._verbose): return 0;
        now     = time.strftime('%Y/%m/%d %H:%M:%S',time.localtime(time.time()))
        message = now+' [ GridSubmit::'+Name+' ] '+Message
        print(message)
        
    def readout_func(self):
        """
        For a periodic equipment, this function will be called periodically
        (every 100ms in this case). It should return either a `cdms.event.Event`
        or None (if we shouldn't write an event).
        """

        last_time = self.client.odb_get('/Mu2e/Offline/Ops/LastTime')
        self.Print('readout_func',1,f'last_time:{last_time}')
        
#        cmd = 'dqmTool print-numbers --source 5 --value 6 --expand'
        cmd = 'cat val_nightly.csv'
        self.Print('readout_func',1,'executing cmd:%s'%cmd)
        out=os.popen(cmd).readlines()

        event = None;
        for line in out:
            # print(line)
            words = line.strip().split(',')
#------------------------------------------------------------------------------
# ['91', '5228', '0.0', '0  5', 'valNightly', 'reco', 'day', '0  6', 'ops', 'stats', 'CPU  11', '4', '0', '0', '0', '0', '2022-01-11 00:01:00-06:00', '2022-01-11 00:01:00-06:00']
#------------------------------------------------------------------------------
            # In this example, we just make a simple event with one bank.
            dt = datetime.strptime(words[17], "%Y-%m-%d %H:%M:%S%z");
            ts = dt.timestamp();
            if (ts > last_time) :
                data            = []
                print(words);
                event           = midas.event.Event()
                data.append(float(words[0]));
                data.append(float(words[1]));
                data.append(float(words[2]));

                event.create_bank("OFLN", midas.TID_FLOAT, data)
                event.header.timestamp = int(ts);
                self.client.odb_set('/Mu2e/Offline/Ops/LastTime',ts)
                print(f'SET_NEW last_time:{ts} dt:{dt}')
                
                # self.Print('readout_func',1,f'SET_NEW last_time:{ts} dt:{dt}')
                break;
        
        return event

class MyFrontend(midas.frontend.FrontendBase):
    """
    A frontend contains a collection of equipment.
    You can access self.client to access the ODB etc (see `midas.client.MidasClient`).
    """
    def __init__(self):
        # You must call __init__ from the base class.
        midas.frontend.FrontendBase.__init__(self, "myfe_name")
        
        # You can add equipment at any time before you call `run()`, but doing
        # it in __init__() seems logical.
        self.add_equipment(MyPeriodicEquipment(self.client))

        self._verbose = 1
        
    def begin_of_run(self, run_number):
        """
        This function will be called at the beginning of the run.
        You don't have to define it, but you probably should.
        You can access individual equipment classes through the `self.equipment`
        dict if needed.
        """
        self.set_all_equipment_status("Running", "greenLight")
        self.client.msg("Frontend has seen start of run number %d" % run_number)
        return midas.status_codes["SUCCESS"]
        
    def end_of_run(self, run_number):
        self.set_all_equipment_status("Finished", "greenLight")
        self.client.msg("Frontend has seen end of run number %d" % run_number)
        return midas.status_codes["SUCCESS"]
    
    def frontend_exit(self):
        """
        Most people won't need to define this function, but you can use
        it for final cleanup if needed.
        """
        print("Goodbye from user code!")
        
if __name__ == "__main__":
    # The main executable is very simple - just create the frontend object,
    # and call run() on it.
    print("EMOE");
#    TRACE.TRACE(7,'EMOEM',TRACE_NAME)
    with MyFrontend() as my_fe:
        my_fe.run()
Attachment 2: val_nightly.csv 
21,4219,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  6,4,0,0,0,0,2022-01-06 00:01:00-06:00,2022-01-06 00:01:00-06:00
35,4999,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  7,4,0,0,0,0,2022-01-07 00:01:00-06:00,2022-01-07 00:01:00-06:00
49,4187,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  8,4,0,0,0,0,2022-01-08 00:01:00-06:00,2022-01-08 00:01:00-06:00
63,3875,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  9,4,0,0,0,0,2022-01-09 00:01:00-06:00,2022-01-09 00:01:00-06:00
77,4498,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  10,4,0,0,0,0,2022-01-10 00:01:00-06:00,2022-01-10 00:01:00-06:00
91,5228,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  11,4,0,0,0,0,2022-01-11 00:01:00-06:00,2022-01-11 00:01:00-06:00
105,4682,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  12,4,0,0,0,0,2022-01-12 00:01:00-06:00,2022-01-12 00:01:00-06:00
119,4364,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  13,4,0,0,0,0,2022-01-13 00:01:00-06:00,2022-01-13 00:01:00-06:00
133,5069,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  14,4,0,0,0,0,2022-01-14 00:01:00-06:00,2022-01-14 00:01:00-06:00
147,3848,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  15,4,0,0,0,0,2022-01-15 00:01:00-06:00,2022-01-15 00:01:00-06:00
161,5248,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  16,4,0,0,0,0,2022-01-16 00:01:00-06:00,2022-01-16 00:01:00-06:00
175,5276,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  17,4,0,0,0,0,2022-01-17 00:01:00-06:00,2022-01-17 00:01:00-06:00
189,5089,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  18,4,0,0,0,0,2022-01-18 00:01:00-06:00,2022-01-18 00:01:00-06:00
203,4789,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  19,4,0,0,0,0,2022-01-19 00:01:00-06:00,2022-01-19 00:01:00-06:00
217,4652,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  20,4,0,0,0,0,2022-01-20 00:01:00-06:00,2022-01-20 00:01:00-06:00
232,5343,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  23,5,0,0,0,0,2022-01-21 00:01:00-06:00,2022-01-21 00:01:00-06:00
246,4896,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  30,5,0,0,0,0,2022-01-22 00:01:00-06:00,2022-01-22 00:01:00-06:00
296,4812,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  46,5,0,0,0,0,2022-01-23 00:01:00-06:00,2022-01-23 00:01:00-06:00
310,4994,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  53,5,0,0,0,0,2022-01-24 00:01:00-06:00,2022-01-24 00:01:00-06:00
324,4397,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  60,5,0,0,0,0,2022-01-25 00:01:00-06:00,2022-01-25 00:01:00-06:00
338,5242,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  67,5,0,0,0,0,2022-01-26 00:01:00-06:00,2022-01-26 00:01:00-06:00
352,4915,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  74,5,0,0,0,0,2022-01-27 00:01:00-06:00,2022-01-27 00:01:00-06:00
366,4937,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  81,5,0,0,0,0,2022-01-28 00:01:00-06:00,2022-01-28 00:01:00-06:00
380,5096,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  88,5,0,0,0,0,2022-01-29 00:01:00-06:00,2022-01-29 00:01:00-06:00
394,5139,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  95,5,0,0,0,0,2022-01-30 00:01:00-06:00,2022-01-30 00:01:00-06:00
408,5434,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  102,5,0,0,0,0,2022-01-31 00:01:00-06:00,2022-01-31 00:01:00-06:00
422,5212,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  109,5,0,0,0,0,2022-02-01 00:01:00-06:00,2022-02-01 00:01:00-06:00
436,5144,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  116,5,0,0,0,0,2022-02-02 00:01:00-06:00,2022-02-02 00:01:00-06:00
450,4229,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  123,5,0,0,0,0,2022-02-03 00:01:00-06:00,2022-02-03 00:01:00-06:00
464,4760,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  130,5,0,0,0,0,2022-02-04 00:01:00-06:00,2022-02-04 00:01:00-06:00
478,4770,0.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  137,5,0,0,0,0,2022-02-05 00:01:00-06:00,2022-02-05 00:01:00-06:00
492,5171,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  144,5,0,0,0,0,2022-02-06 00:01:00-06:00,2022-02-06 00:01:00-06:00
650,4740,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  153,5,0,0,0,0,2022-02-10 00:01:00-06:00,2022-02-10 00:01:00-06:00
700,4923,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  160,5,0,0,0,0,2022-02-11 00:01:00-06:00,2022-02-11 00:01:00-06:00
750,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  167,5,0,0,0,0,2022-02-12 00:01:00-06:00,2022-02-12 00:01:00-06:00
800,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  174,5,0,0,0,0,2022-02-13 00:01:00-06:00,2022-02-13 00:01:00-06:00
850,4250,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  181,5,0,0,0,0,2022-02-14 00:01:00-06:00,2022-02-14 00:01:00-06:00
900,4668,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  188,5,0,0,0,0,2022-02-15 00:01:00-06:00,2022-02-15 00:01:00-06:00
950,4638,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  195,5,0,0,0,0,2022-02-16 00:01:00-06:00,2022-02-16 00:01:00-06:00
1000,5111,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  202,5,0,0,0,0,2022-02-17 00:01:00-06:00,2022-02-17 00:01:00-06:00
1050,3788,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  209,5,0,0,0,0,2022-02-18 00:01:00-06:00,2022-02-18 00:01:00-06:00
1100,5291,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  216,5,0,0,0,0,2022-02-19 00:01:00-06:00,2022-02-19 00:01:00-06:00
1150,4563,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  223,5,0,0,0,0,2022-02-20 00:01:00-06:00,2022-02-20 00:01:00-06:00
1200,4649,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  230,5,0,0,0,0,2022-02-21 00:01:00-06:00,2022-02-21 00:01:00-06:00
1250,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  237,5,0,0,0,0,2022-02-22 00:01:00-06:00,2022-02-22 00:01:00-06:00
1300,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  244,5,0,0,0,0,2022-02-23 00:01:00-06:00,2022-02-23 00:01:00-06:00
1350,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  251,5,0,0,0,0,2022-02-24 00:01:00-06:00,2022-02-24 00:01:00-06:00
1400,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  258,5,0,0,0,0,2022-02-25 00:01:00-06:00,2022-02-25 00:01:00-06:00
1450,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  265,5,0,0,0,0,2022-02-26 00:01:00-06:00,2022-02-26 00:01:00-06:00
1500,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  272,5,0,0,0,0,2022-02-27 00:01:00-06:00,2022-02-27 00:01:00-06:00
1550,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  279,5,0,0,0,0,2022-02-28 00:01:00-06:00,2022-02-28 00:01:00-06:00
1600,254,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  286,5,0,0,0,0,2022-03-01 00:01:00-06:00,2022-03-01 00:01:00-06:00
1650,203,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  293,5,0,0,0,0,2022-03-02 00:01:00-06:00,2022-03-02 00:01:00-06:00
1700,259,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  300,5,0,0,0,0,2022-03-03 00:01:00-06:00,2022-03-03 00:01:00-06:00
1750,255,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  307,5,0,0,0,0,2022-03-04 00:01:00-06:00,2022-03-04 00:01:00-06:00
1800,259,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  314,5,0,0,0,0,2022-03-05 00:01:00-06:00,2022-03-05 00:01:00-06:00
1850,284,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  321,5,0,0,0,0,2022-03-06 00:01:00-06:00,2022-03-06 00:01:00-06:00
1900,258,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  328,5,0,0,0,0,2022-03-07 00:01:00-06:00,2022-03-07 00:01:00-06:00
1950,284,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  335,5,0,0,0,0,2022-03-08 00:01:00-06:00,2022-03-08 00:01:00-06:00
2000,220,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  342,5,0,0,0,0,2022-03-09 00:01:00-06:00,2022-03-09 00:01:00-06:00
2050,197,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  349,5,0,0,0,0,2022-03-10 00:01:00-06:00,2022-03-10 00:01:00-06:00
2100,263,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  356,5,0,0,0,0,2022-03-11 00:01:00-06:00,2022-03-11 00:01:00-06:00
2150,283,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  363,5,0,0,0,0,2022-03-12 00:01:00-06:00,2022-03-12 00:01:00-06:00
2200,276,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  370,5,0,0,0,0,2022-03-13 00:01:00-06:00,2022-03-13 00:01:00-06:00
2250,212,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  377,5,0,0,0,0,2022-03-14 00:01:00-05:00,2022-03-14 00:01:00-05:00
2300,255,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  384,5,0,0,0,0,2022-03-15 00:01:00-05:00,2022-03-15 00:01:00-05:00
2350,212,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  391,5,0,0,0,0,2022-03-16 00:01:00-05:00,2022-03-16 00:01:00-05:00
2400,231,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  398,5,0,0,0,0,2022-03-17 00:01:00-05:00,2022-03-17 00:01:00-05:00
2450,209,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  405,5,0,0,0,0,2022-03-18 00:01:00-05:00,2022-03-18 00:01:00-05:00
2500,253,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  412,5,0,0,0,0,2022-03-19 00:01:00-05:00,2022-03-19 00:01:00-05:00
2550,233,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  419,5,0,0,0,0,2022-03-20 00:01:00-05:00,2022-03-20 00:01:00-05:00
2600,1661,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  426,5,0,0,0,0,2022-03-21 00:01:00-05:00,2022-03-21 00:01:00-05:00
2650,1940,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  433,5,0,0,0,0,2022-03-22 00:01:00-05:00,2022-03-22 00:01:00-05:00
2700,1177,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  440,5,0,0,0,0,2022-03-23 00:01:00-05:00,2022-03-23 00:01:00-05:00
2750,1537,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  447,5,0,0,0,0,2022-03-24 00:01:00-05:00,2022-03-24 00:01:00-05:00
2800,1908,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  454,5,0,0,0,0,2022-03-25 00:01:00-05:00,2022-03-25 00:01:00-05:00
2850,1290,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  461,5,0,0,0,0,2022-03-26 00:01:00-05:00,2022-03-26 00:01:00-05:00
2900,1286,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  468,5,0,0,0,0,2022-03-27 00:01:00-05:00,2022-03-27 00:01:00-05:00
2950,1944,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  475,5,0,0,0,0,2022-03-28 00:01:00-05:00,2022-03-28 00:01:00-05:00
3000,1365,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  482,5,0,0,0,0,2022-03-29 00:01:00-05:00,2022-03-29 00:01:00-05:00
3050,1252,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  489,5,0,0,0,0,2022-03-30 00:01:00-05:00,2022-03-30 00:01:00-05:00
3100,2010,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  496,5,0,0,0,0,2022-03-31 00:01:00-05:00,2022-03-31 00:01:00-05:00
3150,1998,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  503,5,0,0,0,0,2022-04-01 00:01:00-05:00,2022-04-01 00:01:00-05:00
3200,1342,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  510,5,0,0,0,0,2022-04-02 00:01:00-05:00,2022-04-02 00:01:00-05:00
3250,2158,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  517,5,0,0,0,0,2022-04-03 00:01:00-05:00,2022-04-03 00:01:00-05:00
3300,2033,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  524,5,0,0,0,0,2022-04-04 00:01:00-05:00,2022-04-04 00:01:00-05:00
3350,1935,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  531,5,0,0,0,0,2022-04-05 00:01:00-05:00,2022-04-05 00:01:00-05:00
3400,1860,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  538,5,0,0,0,0,2022-04-06 00:01:00-05:00,2022-04-06 00:01:00-05:00
3450,1279,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  545,5,0,0,0,0,2022-04-07 00:01:00-05:00,2022-04-07 00:01:00-05:00
3500,1340,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  552,5,0,0,0,0,2022-04-08 00:01:00-05:00,2022-04-08 00:01:00-05:00
3550,1746,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  559,5,0,0,0,0,2022-04-09 00:01:00-05:00,2022-04-09 00:01:00-05:00
3600,1312,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  566,5,0,0,0,0,2022-04-10 00:01:00-05:00,2022-04-10 00:01:00-05:00
3650,1802,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  573,5,0,0,0,0,2022-04-11 00:01:00-05:00,2022-04-11 00:01:00-05:00
3700,1997,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  580,5,0,0,0,0,2022-04-12 00:01:00-05:00,2022-04-12 00:01:00-05:00
3750,1657,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  587,5,0,0,0,0,2022-04-13 00:01:00-05:00,2022-04-13 00:01:00-05:00
3800,1684,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  594,5,0,0,0,0,2022-04-14 00:01:00-05:00,2022-04-14 00:01:00-05:00
3850,1811,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  601,5,0,0,0,0,2022-04-15 00:01:00-05:00,2022-04-15 00:01:00-05:00
3900,1959,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  608,5,0,0,0,0,2022-04-16 00:01:00-05:00,2022-04-16 00:01:00-05:00
3950,1501,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  615,5,0,0,0,0,2022-04-17 00:01:00-05:00,2022-04-17 00:01:00-05:00
4000,1434,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  622,5,0,0,0,0,2022-04-18 00:01:00-05:00,2022-04-18 00:01:00-05:00
4050,1286,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  629,5,0,0,0,0,2022-04-19 00:01:00-05:00,2022-04-19 00:01:00-05:00
4100,1598,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  636,5,0,0,0,0,2022-04-20 00:01:00-05:00,2022-04-20 00:01:00-05:00
4150,1747,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  643,5,0,0,0,0,2022-04-21 00:01:00-05:00,2022-04-21 00:01:00-05:00
4200,1254,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  650,5,0,0,0,0,2022-04-22 00:01:00-05:00,2022-04-22 00:01:00-05:00
4250,2049,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  657,5,0,0,0,0,2022-04-23 00:01:00-05:00,2022-04-23 00:01:00-05:00
4300,1905,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  664,5,0,0,0,0,2022-04-24 00:01:00-05:00,2022-04-24 00:01:00-05:00
4350,1423,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  671,5,0,0,0,0,2022-04-25 00:01:00-05:00,2022-04-25 00:01:00-05:00
4400,2151,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  678,5,0,0,0,0,2022-04-26 00:01:00-05:00,2022-04-26 00:01:00-05:00
4450,2005,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  685,5,0,0,0,0,2022-04-28 00:01:00-05:00,2022-04-28 00:01:00-05:00
4500,1831,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  692,5,0,0,0,0,2022-04-29 00:01:00-05:00,2022-04-29 00:01:00-05:00
4550,1820,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  699,5,0,0,0,0,2022-04-30 00:01:00-05:00,2022-04-30 00:01:00-05:00
4600,1827,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  706,5,0,0,0,0,2022-05-01 00:01:00-05:00,2022-05-01 00:01:00-05:00
4650,1891,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  713,5,0,0,0,0,2022-05-02 00:01:00-05:00,2022-05-02 00:01:00-05:00
4700,1265,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  720,5,0,0,0,0,2022-05-03 00:01:00-05:00,2022-05-03 00:01:00-05:00
4750,2047,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  727,5,0,0,0,0,2022-05-04 00:01:00-05:00,2022-05-04 00:01:00-05:00
4800,1646,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  734,5,0,0,0,0,2022-05-05 00:01:00-05:00,2022-05-05 00:01:00-05:00
4850,1940,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  741,5,0,0,0,0,2022-05-06 00:01:00-05:00,2022-05-06 00:01:00-05:00
4900,1831,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  748,5,0,0,0,0,2022-05-07 00:01:00-05:00,2022-05-07 00:01:00-05:00
4950,1217,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  755,5,0,0,0,0,2022-05-08 00:01:00-05:00,2022-05-08 00:01:00-05:00
5000,1623,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  762,5,0,0,0,0,2022-05-09 00:01:00-05:00,2022-05-09 00:01:00-05:00
5050,1183,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  769,5,0,0,0,0,2022-05-10 00:01:00-05:00,2022-05-10 00:01:00-05:00
5100,1702,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  776,5,0,0,0,0,2022-05-11 00:01:00-05:00,2022-05-11 00:01:00-05:00
5150,1623,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  783,5,0,0,0,0,2022-05-12 00:01:00-05:00,2022-05-12 00:01:00-05:00
5200,1328,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  790,5,0,0,0,0,2022-05-13 00:01:00-05:00,2022-05-13 00:01:00-05:00
5250,1530,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  797,5,0,0,0,0,2022-05-14 00:01:00-05:00,2022-05-14 00:01:00-05:00
5300,1792,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  804,5,0,0,0,0,2022-05-15 00:01:00-05:00,2022-05-15 00:01:00-05:00
5350,1989,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  811,5,0,0,0,0,2022-05-16 00:01:00-05:00,2022-05-16 00:01:00-05:00
5400,1723,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  818,5,0,0,0,0,2022-05-17 00:01:00-05:00,2022-05-17 00:01:00-05:00
5450,1740,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  825,5,0,0,0,0,2022-05-18 00:01:00-05:00,2022-05-18 00:01:00-05:00
5500,1822,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  832,5,0,0,0,0,2022-05-19 00:01:00-05:00,2022-05-19 00:01:00-05:00
5550,1812,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  839,5,0,0,0,0,2022-05-20 00:01:00-05:00,2022-05-20 00:01:00-05:00
5600,1310,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  846,5,0,0,0,0,2022-05-21 00:01:00-05:00,2022-05-21 00:01:00-05:00
5650,1574,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  853,5,0,0,0,0,2022-05-22 00:01:00-05:00,2022-05-22 00:01:00-05:00
5700,1371,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  860,5,0,0,0,0,2022-05-23 00:01:00-05:00,2022-05-23 00:01:00-05:00
5750,1822,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  867,5,0,0,0,0,2022-05-24 00:01:00-05:00,2022-05-24 00:01:00-05:00
5800,1375,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  874,5,0,0,0,0,2022-05-25 00:01:00-05:00,2022-05-25 00:01:00-05:00
5850,1737,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  881,5,0,0,0,0,2022-05-26 00:01:00-05:00,2022-05-26 00:01:00-05:00
5900,1407,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  888,5,0,0,0,0,2022-05-27 00:01:00-05:00,2022-05-27 00:01:00-05:00
5950,2086,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  895,5,0,0,0,0,2022-05-28 00:01:00-05:00,2022-05-28 00:01:00-05:00
6000,1937,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  902,5,0,0,0,0,2022-05-29 00:01:00-05:00,2022-05-29 00:01:00-05:00
6050,1145,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  909,5,0,0,0,0,2022-05-30 00:01:00-05:00,2022-05-30 00:01:00-05:00
6100,1588,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  916,5,0,0,0,0,2022-05-31 00:01:00-05:00,2022-05-31 00:01:00-05:00
6150,1775,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  923,5,0,0,0,0,2022-06-01 00:01:00-05:00,2022-06-01 00:01:00-05:00
6200,1083,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  930,5,0,0,0,0,2022-06-02 00:01:00-05:00,2022-06-02 00:01:00-05:00
6250,1914,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  937,5,0,0,0,0,2022-06-03 00:01:00-05:00,2022-06-03 00:01:00-05:00
6300,1789,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  944,5,0,0,0,0,2022-06-04 00:01:00-05:00,2022-06-04 00:01:00-05:00
6350,1231,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  951,5,0,0,0,0,2022-06-05 00:01:00-05:00,2022-06-05 00:01:00-05:00
6400,1848,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  958,5,0,0,0,0,2022-06-06 00:01:00-05:00,2022-06-06 00:01:00-05:00
6450,1907,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  965,5,0,0,0,0,2022-06-07 00:01:00-05:00,2022-06-07 00:01:00-05:00
6500,2039,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  972,5,0,0,0,0,2022-06-08 00:01:00-05:00,2022-06-08 00:01:00-05:00
6550,1972,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  979,5,0,0,0,0,2022-06-09 00:01:00-05:00,2022-06-09 00:01:00-05:00
6600,1816,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  986,5,0,0,0,0,2022-06-10 00:01:00-05:00,2022-06-10 00:01:00-05:00
6650,1983,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  993,5,0,0,0,0,2022-06-11 00:01:00-05:00,2022-06-11 00:01:00-05:00
6700,1695,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1000,5,0,0,0,0,2022-06-12 00:01:00-05:00,2022-06-12 00:01:00-05:00
6750,1762,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1007,5,0,0,0,0,2022-06-13 00:01:00-05:00,2022-06-13 00:01:00-05:00
6800,1828,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1014,5,0,0,0,0,2022-06-14 00:01:00-05:00,2022-06-14 00:01:00-05:00
6850,1911,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1021,5,0,0,0,0,2022-06-15 00:01:00-05:00,2022-06-15 00:01:00-05:00
6900,1690,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1028,5,0,0,0,0,2022-06-16 00:01:00-05:00,2022-06-16 00:01:00-05:00
6950,1895,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1035,5,0,0,0,0,2022-06-17 00:01:00-05:00,2022-06-17 00:01:00-05:00
7000,2086,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1042,5,0,0,0,0,2022-06-23 00:01:00-05:00,2022-06-23 00:01:00-05:00
7050,1775,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1049,5,0,0,0,0,2022-06-24 00:01:00-05:00,2022-06-24 00:01:00-05:00
7100,1992,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1056,5,0,0,0,0,2022-06-25 00:01:00-05:00,2022-06-25 00:01:00-05:00
7150,1435,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1063,5,0,0,0,0,2022-06-26 00:01:00-05:00,2022-06-26 00:01:00-05:00
7200,1273,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1070,5,0,0,0,0,2022-06-27 00:01:00-05:00,2022-06-27 00:01:00-05:00
7250,2321,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1077,5,0,0,0,0,2022-06-28 00:01:00-05:00,2022-06-28 00:01:00-05:00
7300,1666,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1084,5,0,0,0,0,2022-06-29 00:01:00-05:00,2022-06-29 00:01:00-05:00
7350,1598,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1091,5,0,0,0,0,2022-06-30 00:01:00-05:00,2022-06-30 00:01:00-05:00
7400,2090,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1098,5,0,0,0,0,2022-07-01 00:01:00-05:00,2022-07-01 00:01:00-05:00
7450,2066,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1105,5,0,0,0,0,2022-07-02 00:01:00-05:00,2022-07-02 00:01:00-05:00
7500,1253,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1112,5,0,0,0,0,2022-07-03 00:01:00-05:00,2022-07-03 00:01:00-05:00
7550,1367,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1119,5,0,0,0,0,2022-07-04 00:01:00-05:00,2022-07-04 00:01:00-05:00
7600,1737,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1126,5,0,0,0,0,2022-07-05 00:01:00-05:00,2022-07-05 00:01:00-05:00
7650,2065,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1133,5,0,0,0,0,2022-07-06 00:01:00-05:00,2022-07-06 00:01:00-05:00
7700,2065,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1140,5,0,0,0,0,2022-07-07 00:01:00-05:00,2022-07-07 00:01:00-05:00
7750,1548,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1147,5,0,0,0,0,2022-07-08 00:01:00-05:00,2022-07-08 00:01:00-05:00
7800,1849,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1154,5,0,0,0,0,2022-07-09 00:01:00-05:00,2022-07-09 00:01:00-05:00
7850,1175,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1161,5,0,0,0,0,2022-07-10 00:01:00-05:00,2022-07-10 00:01:00-05:00
7900,1430,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1168,5,0,0,0,0,2022-07-11 00:01:00-05:00,2022-07-11 00:01:00-05:00
7950,1716,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1175,5,0,0,0,0,2022-07-12 00:01:00-05:00,2022-07-12 00:01:00-05:00
8000,1854,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1182,5,0,0,0,0,2022-07-13 00:01:00-05:00,2022-07-13 00:01:00-05:00
8050,1338,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1189,5,0,0,0,0,2022-07-14 00:01:00-05:00,2022-07-14 00:01:00-05:00
8100,1474,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1196,5,0,0,0,0,2022-07-15 00:01:00-05:00,2022-07-15 00:01:00-05:00
8150,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1203,5,0,0,0,0,2022-07-16 00:01:00-05:00,2022-07-16 00:01:00-05:00
8200,1288,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1210,5,0,0,0,0,2022-07-17 00:01:00-05:00,2022-07-17 00:01:00-05:00
8250,1784,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1217,5,0,0,0,0,2022-07-18 00:01:00-05:00,2022-07-18 00:01:00-05:00
8300,1981,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1224,5,0,0,0,0,2022-07-19 00:01:00-05:00,2022-07-19 00:01:00-05:00
8350,1332,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1231,5,0,0,0,0,2022-07-20 00:01:00-05:00,2022-07-20 00:01:00-05:00
8400,1680,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1238,5,0,0,0,0,2022-07-21 00:01:00-05:00,2022-07-21 00:01:00-05:00
8450,1384,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1245,5,0,0,0,0,2022-07-22 00:01:00-05:00,2022-07-22 00:01:00-05:00
8500,1929,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1252,5,0,0,0,0,2022-07-23 00:01:00-05:00,2022-07-23 00:01:00-05:00
8550,1994,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1259,5,0,0,0,0,2022-07-24 00:01:00-05:00,2022-07-24 00:01:00-05:00
8600,1976,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1266,5,0,0,0,0,2022-07-25 00:01:00-05:00,2022-07-25 00:01:00-05:00
8650,1719,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1273,5,0,0,0,0,2022-07-26 00:01:00-05:00,2022-07-26 00:01:00-05:00
8700,1752,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1280,5,0,0,0,0,2022-07-27 00:01:00-05:00,2022-07-27 00:01:00-05:00
8750,1264,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1287,5,0,0,0,0,2022-07-28 00:01:00-05:00,2022-07-28 00:01:00-05:00
8800,1649,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1294,5,0,0,0,0,2022-07-29 00:01:00-05:00,2022-07-29 00:01:00-05:00
8850,1656,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1301,5,0,0,0,0,2022-07-30 00:01:00-05:00,2022-07-30 00:01:00-05:00
8900,1283,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1308,5,0,0,0,0,2022-07-31 00:01:00-05:00,2022-07-31 00:01:00-05:00
8950,1242,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1315,5,0,0,0,0,2022-08-01 00:01:00-05:00,2022-08-01 00:01:00-05:00
9000,1586,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1322,5,0,0,0,0,2022-08-02 00:01:00-05:00,2022-08-02 00:01:00-05:00
9050,1396,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1329,5,0,0,0,0,2022-08-03 00:01:00-05:00,2022-08-03 00:01:00-05:00
9100,2035,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1336,5,0,0,0,0,2022-08-04 00:01:00-05:00,2022-08-04 00:01:00-05:00
9150,1774,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1343,5,0,0,0,0,2022-08-05 00:01:00-05:00,2022-08-05 00:01:00-05:00
9200,1878,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1350,5,0,0,0,0,2022-08-06 00:01:00-05:00,2022-08-06 00:01:00-05:00
9250,1922,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1357,5,0,0,0,0,2022-08-07 00:01:00-05:00,2022-08-07 00:01:00-05:00
9300,2277,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1364,5,0,0,0,0,2022-08-08 00:01:00-05:00,2022-08-08 00:01:00-05:00
9350,1589,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1371,5,0,0,0,0,2022-08-09 00:01:00-05:00,2022-08-09 00:01:00-05:00
9400,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1378,5,0,0,0,0,2022-08-10 00:01:00-05:00,2022-08-10 00:01:00-05:00
9450,1689,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1385,5,0,0,0,0,2022-08-11 00:01:00-05:00,2022-08-11 00:01:00-05:00
9500,1995,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1392,5,0,0,0,0,2022-08-12 00:01:00-05:00,2022-08-12 00:01:00-05:00
9514,0.0,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1399,5,0,0,0,0,2022-08-13 00:01:00-05:00,2022-08-13 00:01:00-05:00
9564,1247,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1406,5,0,0,0,0,2022-08-14 00:01:00-05:00,2022-08-14 00:01:00-05:00
9614,1614,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1413,5,0,0,0,0,2022-08-15 00:01:00-05:00,2022-08-15 00:01:00-05:00
9664,1489,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1420,5,0,0,0,0,2022-08-16 00:01:00-05:00,2022-08-16 00:01:00-05:00
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9764,1289,150.0,0  5,valNightly,reco,day,0  6,ops,stats,CPU  1434,5,0,0,0,0,2022-08-18 00:01:00-05:00,2022-08-18 00:01:00-05:00
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... 783 more lines ...
  3012   01 Apr 2025 Pavel MuratBug ReportMIDAS history system not using the event timestamps ?
Dear MIDAS experts, 

I confirm that when writing out history files corresponding to the slow control event data, 
MIDAS history system timestamps the data not with the event time coming from the event data, 
but with the current time determined by the program - 

https://bitbucket.org/tmidas/midas/src/293d27fad0c87c80c4ed7b94b5c40ba1e150bea4/progs/mlogger.cxx#lines-5321

where 'now' is defined as  

time_t now = time(NULL);

I'm looking for a way to timestamp the history data with the event time - that is important 
for HEP applications outside the DAQ domain. Yes, MIDAS infrastructure is very well suited for that, 
there could have a number of such applications, and experiments could significantly benefit from that.

So I'm wondering whether the implementation is a design choice made or it could be changed. 

The change itself and especially its validation may require a non-negligible amount of work - I'd be happy to contribute.

Any insight much appreciated. 

-- thanks, regards, Pasha
  3021   01 Apr 2025 Pavel MuratSuggestionSequencer ODBSET feature requests
 I once looked at using LUA for this,
> but I think basing off an full featured programming language like python
> is better.

if it came to a vote, my vote would go to Lua: it would allow to do everything needed, 
with much less external dependencies and with much less motivation to over-use the interpreter. 
The CMS experience was very teaching in this respect... 

-- my 2c, regards, Pasha
  3022   02 Apr 2025 Pavel MuratBug ReportMIDAS history system not using the event timestamps ?
> You can always include your "true" data timestamp as the first value in your data.

Are you saying that if the first data word of a history event were a timestamp, 
the MIDAS history system, when plotting the time dependencies, would use that timestamp 
instead of the mlogger timestamp?  

if that is true, what tells MIDAS that the first data word is the timestamp? 

I couldn't find a discussion of that on the page describing the history system - 

 https://daq00.triumf.ca/MidasWiki/index.php/History_System#Frontend_history_event

- perhaps I should be looking at a different page?

-- thanks again, regards, Pasha
  3030   29 Apr 2025 Pavel MuratBug ReportODBXX : ODB links in the path names ?
Dear MIDAS experts,

does the ODBXX interface to ODB currently ODB links in the path names? - From what I see so far, it currently fails to do so,
but I could be doing something else wrong... 

-- thanks, regards, Pasha
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