> It turns out that unlike CentOS-7, Ubuntu LTS 18.04 does not run a restrictive firewall
> and access to mhttpd ports 8080 and 8443 is not blocked
>
> As result, anybody from anywhere can access mhttpd without a password.
> 

elogd can suffer from the same problem, but not as badly, one can connect to elogd and attempt to run 
exploits, but one cannot access elog entries without a password:

a) default configuration is to ask for a password
b) elogd almost immediately redirects to the https URL specified in the URL entry of the config file, which 
normally points to the https proxy, which also immediately asks for a password.

In the absence of firewall protection (as on Ubuntu), 
add "Interface = 127.0.0.1" to the elog config file or run elogd with "-n localhost",
per instructions at https://elog.psi.ch/elog/config.html 

K.O.

Added ss_create_thread support for Linux in system.c
Added pthread library in main make file

Hi,

some minutes ago I published a PR for PostgreSQL support I developed
at INFN-Napoli for Darkside experiment...

I don't know if you receive a notification about this PR and in doubt
I wrote this message...

Thanks in advance,
Gennaro

> some minutes ago I published a PR for PostgreSQL support I developed
> at INFN-Napoli for Darkside experiment...
> 
> I don't know if you receive a notification about this PR and in doubt
> I wrote this message...

Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
of your pull request and everything looked quite good. But that pull request was 
for an older version of midas and it would not have applied cleanly to the current 
version. I will take a look at your updated pull request. In theory it should only 
add the Postgres class and modify a few other places in history_schema.cxx and have 
no changes to anything else. (if you need those changes, it should be a separate 
pull request).

Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
observed for storing and using midas history data.

K.O.

Hi 


> > some minutes ago I published a PR for PostgreSQL support I developed
> > at INFN-Napoli for Darkside experiment...
> > 
> > I don't know if you receive a notification about this PR and in doubt
> > I wrote this message...
> 
> Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
> of your pull request and everything looked quite good. But that pull request was 
> for an older version of midas and it would not have applied cleanly to the current 
> version. I will take a look at your updated pull request. In theory it should only 
> add the Postgres class and modify a few other places in history_schema.cxx and have 
> no changes to anything else. (if you need those changes, it should be a separate 
> pull request).
> 
> Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
> observed for storing and using midas history data.
> 
> K.O.

Hi Konstantin,
thanks for this update |

My main interest for PostgreSQL is usage of TimescaleDB
(https://github.com/timescale/timescaledb) a PostgreSQL extension that
makes possible usage of downsampling functions on time-series...

here at INFN-Napoli we have a large history dataset that we manage
with MIDAS history and MySQL tables. We have a lot of issues 
(wait time, browser hangs, crashes) when we use MIDAS history plot 
pages on large time period because the Javascript web page try to 
download million of records in order to display them on a plot of 
(max) 2000 pixel width...

with native downsampling we can reduce a large dataset keeping the
"shape" of the curve using only the points needed by the plot area;

in TimescaleDB there is "lttb" ( Largest Triangle Three Bucket) a very 
nice and impressive downsampling function that preserve very well the
shape of the series.

If you are interested to see a lttb at work on some data you can open this page:
   https://www.base.is/flot

In next days I will work to add TimescaleDB backend to MIDAS history (it will be
similar to PostgreSQL backend) and we can discuss on how to add these 
downsampling features to history plot web pages, I already developed some
solutions and I will be happy to share them with MIDAS community;

Cheers,
Gennaro

> > some minutes ago I published a PR for PostgreSQL support I developed
> > at INFN-Napoli for Darkside experiment...
> > 
> > I don't know if you receive a notification about this PR and in doubt
> > I wrote this message...
> 
> Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
> of your pull request and everything looked quite good. But that pull request was 
> for an older version of midas and it would not have applied cleanly to the current 
> version. I will take a look at your updated pull request. In theory it should only 
> add the Postgres class and modify a few other places in history_schema.cxx and have 
> no changes to anything else. (if you need those changes, it should be a separate 
> pull request).
> 
> Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
> observed for storing and using midas history data.
> 
> K.O.

Hi,
I have updated the PR with a new one that includes TimescaleDB support and some
changes to mhistory.js to support downsampling queries...

Cheers,
Gennaro

> > some minutes ago I published a PR for PostgreSQL support I developed
> > at INFN-Napoli for Darkside experiment...
> > 
> > I don't know if you receive a notification about this PR and in doubt
> > I wrote this message...
> 
> Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
> of your pull request and everything looked quite good. But that pull request was 
> for an older version of midas and it would not have applied cleanly to the current 
> version. I will take a look at your updated pull request. In theory it should only 
> add the Postgres class and modify a few other places in history_schema.cxx and have 
> no changes to anything else. (if you need those changes, it should be a separate 
> pull request).
> 
> Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
> observed for storing and using midas history data.
> 
> K.O.

Hi,
is there any news regarding this pull request ? 
(https://bitbucket.org/tmidas/midas/pull-requests/30)

If you agree to merge I can resolve conflicts that now 
(after two months) are listed...

Regards,
Gennaro

> 
> Hi,
> I have updated the PR with a new one that includes TimescaleDB support and some
> changes to mhistory.js to support downsampling queries...
> 
> Cheers,
> Gennaro
> 
> > > some minutes ago I published a PR for PostgreSQL support I developed
> > > at INFN-Napoli for Darkside experiment...
> > > 
> > > I don't know if you receive a notification about this PR and in doubt
> > > I wrote this message...
> > 
> > Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
> > of your pull request and everything looked quite good. But that pull request was 
> > for an older version of midas and it would not have applied cleanly to the current 
> > version. I will take a look at your updated pull request. In theory it should only 
> > add the Postgres class and modify a few other places in history_schema.cxx and have 
> > no changes to anything else. (if you need those changes, it should be a separate 
> > pull request).
> > 
> > Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
> > observed for storing and using midas history data.
> > 
> > K.O.

> is there any news regarding this pull request ? 
> (https://bitbucket.org/tmidas/midas/pull-requests/30)

apologies for taking a very long time to review the proposed changes.

the main problem with this pull request remains, it tangles together too many changes to the code and I cannot simply 
say "this is okey", merge and commit it.

example of unrelated change is diff of mlogger.cxx, change of function in: "db_get_value(hDB, 0, "/Logger/Multithread 
transitions" ... )". there is also unrelated changes to whitespace sprinkled around.

can you review your diffs again and try to remove as much unrelated and unnecessary changes as you can?

I could do this for you, and merge my version, but next time you merge base midas, you will have a collision.

unrelated change of function is introduction of something called "downsampling", what is the purpose of this? How is it 
different from requesting binned data? Is it just a kludge to reduce the data size? Before we merge it, can you post a 
description/discussion to this forum here? (as a separate topic, separate from discussion of PostgreSQL merge).

the changes to add PostgreSQL so fat look reasonable:
- CMakeLists, is always painful but if you do same a MySQL, should be okey, we always end up rejigging this several 
times before it works everywhere.
- history.h, ok, minus changes for adding the "downsample" feature
- mlogger.cxx, changes are too tangled with "downsample" feature, cannot review
- SetDownsample() API is defective, should have separate Get() and Set() functions
- history_common.cxx, please do not add downsampling code to history providers that do not/will not support it.
- history_odbc.cxx, please do not change it. it does not support downsampling and never will.
- history.cxx, ditto
- mjsonrpc.cxx, history API is changed, we must know: is new JS compatible with old mhttpd? is old JS compatible with 
new mhttpd? (mixed versions are very common in practice). if there is incompatibility, can you recoded it to be 
compatible?
- history_schema.cxx: bitbucket diff is a dog's breakfast, cannot review. I will have to checkout your branch and diff 
by hand.

changes to mhistory.js appear to be extensive and some explanation is needed for what is changed, what bugs/problems 
are fixed, what new features are added.

to move forward, can you generate a pull requests that only adds pgsql to history_schema.cxx, history_common.cxx and 
mlogger.cxx and does not add any other functions, features and does not change any whistespace?

K.O.


> 
> If you agree to merge I can resolve conflicts that now 
> (after two months) are listed...
> 
> Regards,
> Gennaro
> 
> > 
> > Hi,
> > I have updated the PR with a new one that includes TimescaleDB support and some
> > changes to mhistory.js to support downsampling queries...
> > 
> > Cheers,
> > Gennaro
> > 
> > > > some minutes ago I published a PR for PostgreSQL support I developed
> > > > at INFN-Napoli for Darkside experiment...
> > > > 
> > > > I don't know if you receive a notification about this PR and in doubt
> > > > I wrote this message...
> > > 
> > > Hi, Gennaro, thank you for the very useful contribution. I saw the previous version 
> > > of your pull request and everything looked quite good. But that pull request was 
> > > for an older version of midas and it would not have applied cleanly to the current 
> > > version. I will take a look at your updated pull request. In theory it should only 
> > > add the Postgres class and modify a few other places in history_schema.cxx and have 
> > > no changes to anything else. (if you need those changes, it should be a separate 
> > > pull request).
> > > 
> > > Also I am curious what benefits and drawbacks of Postgres vs mysql/mariadb you have 
> > > observed for storing and using midas history data.
> > > 
> > > K.O.

> > is there any news regarding this pull request ? 
> > (https://bitbucket.org/tmidas/midas/pull-requests/30)
> 
> apologies for taking a very long time to review the proposed changes.
> 

I merged the PgSql bits by hand - the automatic tools make a dog's breakfast from the history_schema.cxx diffs. Ouch.

history_schema.cxx merged pretty much cleanly, but I have one question about CreateSqlColumn() with sql_strict set to "true". Can you say 
more why this is needed? Should this also be made the default for MySQL? The best I can tell the default values are only needed if we write 
to SQL but forget to provide values that should not be NULL? But our code never does this? Or this is for reading from SQL, where NULL values 
are replaced with the default values? I do not have time to look into this right now, I hope you can clarify it for me?

Also notice the fDownsample is set to zero and cannot be changed. I recommend we set it through the MakeMidasHistoryPgsql() factory method.

Please pull, merge, retest, update the pull request, check that there is no unrelated changes (changes in mlogger.cxx is a direct red flag!) 
and we should be able to merge the rest of your stuff pronto.

K.O.

commit e85bb6d37c85f02fc4895cae340ba71ab36de906 (HEAD -> develop, origin/develop, origin/HEAD)
Author: Konstantin Olchanski <olchansk@triumf.ca>
Date:   Fri Jul 21 09:45:08 2023 -0700

    merge PQSQL history in history_schema.cxx

commit f254ebd60a23c6ee2d4870f3b6b5e8e95a8f1f09
Author: Konstantin Olchanski <olchansk@triumf.ca>
Date:   Fri Jul 21 09:19:07 2023 -0700

    add PGSQL Makefile bits

commit aa5a35ba221c6f87ae7a811236881499e3d8dcf7
Author: Konstantin Olchanski <olchansk@triumf.ca>
Date:   Fri Jul 21 08:51:23 2023 -0700

    merge PGSQL support from https://bitbucket.org/gtortone/midas/branch/feature/timescaledb_support except for history_schema.cxx

Hi Konstantin,

thanks a lot for your work on PostgreSQL and TimescaleDB integration...
and sorry for unrelated changes on source code !

I will return on this task at end of this year (maybe October or November) because
I'm working on different tasks... but I will keep in mind your suggestions in order
to provide good source code.

Thanks,
Gennaro


> 
> I merged the PgSql bits by hand - the automatic tools make a dog's breakfast from the history_schema.cxx diffs. Ouch.
> 
> history_schema.cxx merged pretty much cleanly, but I have one question about CreateSqlColumn() with sql_strict set to "true". Can you say 
> more why this is needed? Should this also be made the default for MySQL? The best I can tell the default values are only needed if we write 
> to SQL but forget to provide values that should not be NULL? But our code never does this? Or this is for reading from SQL, where NULL values 
> are replaced with the default values? I do not have time to look into this right now, I hope you can clarify it for me?
> 
> Also notice the fDownsample is set to zero and cannot be changed. I recommend we set it through the MakeMidasHistoryPgsql() factory method.
> 
> Please pull, merge, retest, update the pull request, check that there is no unrelated changes (changes in mlogger.cxx is a direct red flag!) 
> and we should be able to merge the rest of your stuff pronto.
> 
> K.O.
> 
> commit e85bb6d37c85f02fc4895cae340ba71ab36de906 (HEAD -> develop, origin/develop, origin/HEAD)
> Author: Konstantin Olchanski <olchansk@triumf.ca>
> Date:   Fri Jul 21 09:45:08 2023 -0700
> 
>     merge PQSQL history in history_schema.cxx
> 
> commit f254ebd60a23c6ee2d4870f3b6b5e8e95a8f1f09
> Author: Konstantin Olchanski <olchansk@triumf.ca>
> Date:   Fri Jul 21 09:19:07 2023 -0700
> 
>     add PGSQL Makefile bits
> 
> commit aa5a35ba221c6f87ae7a811236881499e3d8dcf7
> Author: Konstantin Olchanski <olchansk@triumf.ca>
> Date:   Fri Jul 21 08:51:23 2023 -0700
> 
>     merge PGSQL support from https://bitbucket.org/gtortone/midas/branch/feature/timescaledb_support except for history_schema.cxx

The compilation of midas was broken by the last modification. The reason is that 

   Pgsql *fPgsql = NULL;

was not protected by 

#ifdef HAVE_PGSQL

So I put all PGSQL code under a big #ifdef and now it compiles again. You might want to double check my modification at

https://bitbucket.org/tmidas/midas/commits/e3c7e73459265e0d7d7a236669d1d1f2d9292a74

Best,
Stefan

> The compilation of midas was broken by the last modification. The reason is that 
>    Pgsql *fPgsql = NULL;
> was not protected by #ifdef HAVE_PGSQL

confirmed, my mistake, I forgot to test with "make cmake NO_PGSQL". your fix is correct, thanks.

K.O.

Hi!

I have released pymidas - Python binding to Midas.
It includes support for Online Database, Buffer, event
construction and parsing. 

We have used it for a couple years now here at CMD. (http://cmd.inp.nsk.su)
One of principal DAQ applications here (Slow Control Frontend) is
written in Python using pymidas.

http://cmd.inp.nsk.su/~bilenko/projects/pymidas/pymidas.html

Ciao, 
we have a very strange issue with python lib with client.odb_get("/") function 
when running as midas process and matplotlib is used.


we are developing a remote console by means of sending via kafka producer the odb, 
camera image and pmt waveforms, in the INFN cloud where grafana make available 
data for non expert shifters, as well as sending midas events for online 
reconstruction to the htcondr queue on cloud. The process work perfectly and allow 
use to parallelise to standard midas pipeline for file production, ecc the online 
monitoring and data processing where we have computing resources (our DAQ is 
underground at LNGS). Part of the work will be presented next weak at CHEP
the full code is available at https://github.com/CYGNUS-
RD/middleware/blob/master/dev/event_producer_s3.py
but to get the strange behaviour I report here a test script:

----
def main(verbose=False):
    from matplotlib import pyplot as plt

    import time

    import midas
    import midas.client

    
    client = midas.client.MidasClient("middleware")
    buffer_handle = client.open_event_buffer("SYSTEM",None,1000000000)
    request_id = client.register_event_request(buffer_handle, sampling_type = 2) 
    
    fpath = os.path.dirname(os.path.realpath(sys.argv[0]))
    
    
    while True:
        # 
        odb = client.odb_get("/")
        if verbose:
            print(odb)
        start1 = time.time()
              
        client.communicate(10)
        time.sleep(1)
        

    client.deregister_event_request(buffer_handle, request_id)

    client.disconnect()
----
if I run it as cli interactivity including or not matplotlib the everything si ok. 
As I run it as midas "program" I get: 
-----
Traceback (most recent call last):
  File "/home/standard/daq/middleware/dev/test_midas_error.py", line 48, in 
<module>
    main(verbose=options.verbose)
  File "/home/standard/daq/middleware/dev/test_midas_error.py", line 29, in main
    odb = client.odb_get("/")
  File "/home/standard/packages/midas/python/midas/client.py", line 354, in 
odb_get
    retval = midas.safe_to_json(buf.value, use_ordered_dict=True)
  File "/home/standard/packages/midas/python/midas/__init__.py", line 552, in 
safe_to_json
    return json.loads(decoded, strict=False, 
object_pairs_hook=collections.OrderedDict)
  File "/usr/lib/python3.8/json/__init__.py", line 370, in loads
    return cls(**kw).decode(s)
  File "/usr/lib/python3.8/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/lib/python3.8/json/decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: 
line 300 column 26 (char 17535)
----
if I comment out the import of matplotlib every think works perfectly again also 
as midas program. 

it seams that there is a difference between the to way of use the code, and that 
is sufficient the call to matplotlib to corrupt in some way the odb. any ideas?

> it seams that there is a difference between the to way of use the code, and that 
> is sufficient the call to matplotlib to corrupt in some way the odb. any ideas?

I can't reproduce this on my machines, so this is going to be fun to debug!

Can you try running the program below please? It takes the important bits from odb_get() but prints out the string before we try to parse it as JSON. Feel free to send me the output via email (bsmith@triumf.ca) if you don't want to post your entire ODB dump in the elog.




import sys
import os
import time
import midas
import midas.client
import ctypes

def debug_get(client):
    c_path = ctypes.create_string_buffer(b"/")
    hKey = ctypes.c_int()
    client.lib.c_db_find_key(client.hDB, 0, c_path, ctypes.byref(hKey))

    buf = ctypes.c_char_p()
    bufsize = ctypes.c_int()
    bufend = ctypes.c_int()

    client.lib.c_db_copy_json_save(client.hDB, hKey, ctypes.byref(buf), ctypes.byref(bufsize), ctypes.byref(bufend))

    print("-" * 80)
    print("FULL DUMP")
    print("-" * 80)
    print(buf.value)
    print("-" * 80)
    print("Chars 17000-18000")
    print("-" * 80)
    print(buf.value[17000:18000])
    print("-" * 80)

    as_dict = midas.safe_to_json(buf.value, use_ordered_dict=True)

    client.lib.c_free(buf)

    return as_dict

def main(verbose=False):
    client = midas.client.MidasClient("middleware")
    buffer_handle = client.open_event_buffer("SYSTEM",None,1000000000)
    request_id = client.register_event_request(buffer_handle, sampling_type = 2)

    fpath = os.path.dirname(os.path.realpath(sys.argv[0]))

    while True:
        # odb = client.odb_get("/")
        odb = debug_get(client)

        if verbose:
            print(odb)
        start1 = time.time()

        client.communicate(10)
        time.sleep(1)


    client.deregister_event_request(buffer_handle, request_id)

    client.disconnect()

if __name__ == "__main__":
    main()

> > it seams that there is a difference between the to way of use the code, and that 
> > is sufficient the call to matplotlib to corrupt in some way the odb. any ideas?
> 
> I can't reproduce this on my machines, so this is going to be fun to debug!
> 
> Can you try running the program below please? It takes the important bits from odb_get() but prints out the string before we try to parse it as JSON. Feel free to send me the output via email (bsmith@triumf.ca) if you don't want to post your entire ODB dump in the elog.
> 
> 
> 
> 
> import sys
> import os
> import time
> import midas
> import midas.client
> import ctypes
> 
> def debug_get(client):
>     c_path = ctypes.create_string_buffer(b"/")
>     hKey = ctypes.c_int()
>     client.lib.c_db_find_key(client.hDB, 0, c_path, ctypes.byref(hKey))
> 
>     buf = ctypes.c_char_p()
>     bufsize = ctypes.c_int()
>     bufend = ctypes.c_int()
> 
>     client.lib.c_db_copy_json_save(client.hDB, hKey, ctypes.byref(buf), ctypes.byref(bufsize), ctypes.byref(bufend))
> 
>     print("-" * 80)
>     print("FULL DUMP")
>     print("-" * 80)
>     print(buf.value)
>     print("-" * 80)
>     print("Chars 17000-18000")
>     print("-" * 80)
>     print(buf.value[17000:18000])
>     print("-" * 80)
> 
>     as_dict = midas.safe_to_json(buf.value, use_ordered_dict=True)
> 
>     client.lib.c_free(buf)
> 
>     return as_dict
> 
> def main(verbose=False):
>     client = midas.client.MidasClient("middleware")
>     buffer_handle = client.open_event_buffer("SYSTEM",None,1000000000)
>     request_id = client.register_event_request(buffer_handle, sampling_type = 2)
> 
>     fpath = os.path.dirname(os.path.realpath(sys.argv[0]))
> 
>     while True:
>         # odb = client.odb_get("/")
>         odb = debug_get(client)
> 
>         if verbose:
>             print(odb)
>         start1 = time.time()
> 
>         client.communicate(10)
>         time.sleep(1)
> 
> 
>     client.deregister_event_request(buffer_handle, request_id)
> 
>     client.disconnect()
> 
> if __name__ == "__main__":
>     main()
Thank you!
if I added the mat

> > it seams that there is a difference between the to way of use the code, and that 
> > is sufficient the call to matplotlib to corrupt in some way the odb. any ideas?
> 
> I can't reproduce this on my machines, so this is going to be fun to debug!
> 
> Can you try running the program below please? It takes the important bits from odb_get() but prints out the string before we try to parse it as JSON. Feel free to send me the output via email (bsmith@triumf.ca) if you don't want to post your entire ODB dump in the elog.

Thank you!
if I added the matplotlib as follow:

#!/usr/bin/env python3

import sys
import os
import time
import midas
import midas.client
import ctypes
from matplotlib import pyplot as plt

def debug_get(client):
    c_path = ctypes.create_string_buffer(b"/")
    hKey = ctypes.c_int()
    client.lib.c_db_find_key(client.hDB, 0, c_path, ctypes.byref(hKey))

    buf = ctypes.c_char_p()
    bufsize = ctypes.c_int()
    bufend = ctypes.c_int()

    client.lib.c_db_copy_json_save(client.hDB, hKey, ctypes.byref(buf), ctypes.byref(bufsize), ctypes.byref(bufend))

    print("-" * 80)
    print("FULL DUMP")
    print("-" * 80)
    print(buf.value)
    print("-" * 80)
    print("Chars 17000-18000")
    print("-" * 80)
    print(buf.value[17000:18000])
    print("-" * 80)

    as_dict = midas.safe_to_json(buf.value, use_ordered_dict=True)

    client.lib.c_free(buf)

    return as_dict

def main(verbose=False):
    client = midas.client.MidasClient("middleware")
    buffer_handle = client.open_event_buffer("SYSTEM",None,1000000000)
    request_id = client.register_event_request(buffer_handle, sampling_type = 2)

    fpath = os.path.dirname(os.path.realpath(sys.argv[0]))

    while True:
        # odb = client.odb_get("/")
        odb = debug_get(client)

        if verbose:
            print(odb)
        start1 = time.time()

        client.communicate(10)
        time.sleep(1)


    client.deregister_event_request(buffer_handle, request_id)

    client.disconnect()

        
if __name__ == "__main__":
    from optparse import OptionParser
    parser = OptionParser(usage='usage: %prog\t ')
    parser.add_option('-v','--verbose', dest='verbose', action="store_true", default=False, help='verbose output;');
    (options, args) = parser.parse_args()
    main(verbose=options.verbose)


then tested the code in interactive mode without any error. as soon as I submit as midas "Program" I get the attached output.
thank you again, Giovanni

Looks like a localisation issue. Your floats are formatted as "6,6584e+01", whereas the JSON decoder expects "6.6584e+01".

Can you run the following few lines please? Then I'll be able to write a test using the same setup as you:


import locale
print(locale.getlocale())
from matplotlib import pyplot as plt
print(locale.getlocale())
 

> Looks like a localisation issue. Your floats are formatted as "6,6584e+01", whereas the JSON decoder expects "6.6584e+01".

This should be fixed in the latest commit to the midas develop branch. The JSON specification requires a dot for the decimal separator, so we must ignore the user's locale when formatting floats/doubles for JSON.

I've tested the fix on my machine by manually changing the locale, and also added an automated test in the python directory.