How to synchronize a photo tree in Darktable to collect additions / deletions?

I am new to Darktable and I try to use it to manage a large RAW image tree.

I already recursively imported the root of the tree. Now it shows the directory names in the light table view when I select "folders" on the left under "collect images".

If I now add more images to existing directories or add new directories below the root, or delete some images, how do I tell DarkTable to scan the root directory again and have it collect the additions or deletions?

Filebeat installed on CentOS 7 could not collect records

Filebeat installed on CentOS 7 could not collect records
Records and settings are attached

=========================== Filebeat entries ===================== ========

Each one is an entry. Most of the options can be configured at the input level, so
You can use different inputs for various configurations.
The specific input settings are shown below.
type: log

Change to true to enable this input setting.
enabled: false

Paths that must be tracked and searched. Road based glob.

Exclude lines. A list of regular expressions to match. Drop the lines that are
match any regular expression on the list.
exclude_lines: (& # 39; ^ DBG & # 39;)
Include lines A list of regular expressions to match. Export the lines that are
match any regular expression on the list.
include_lines: (& # 39; ^ ERR & # 39 ;, & # 39; ^ WARN & # 39;)
Exclude files. A list of regular expressions to match. Filebeat releases the files that
match any regular expression on the list. By default, files are not discarded.
exclude_files: (& # 39; .gz $ & # 39;)
Additional optional fields. These fields can be freely chosen
to add additional information to the log files tracked for filtering
level: debug
opinion 1
Multi-line options
Multiline can be used for log messages that span multiple lines. This is common
for Java stack traces or continuation of line C
The regexp pattern that must match. The sample pattern matches all lines that begin with (
multiline.pattern: ^ (
Defines whether the pattern set below the pattern should be denied or not. The default value is false.
multiline.negate: false
The match can be set to "after" or "before." It is used to define whether lines should be added to a pattern
which was (not) matched before or after or whenever a pattern does not match depending on deny.
Note: Then it is the equivalent of the previous one and before it is the equivalent of the next one in Logstash
multiline.match: after
============================= Filebeat Modules =================== ============

path: $ {path.config} /modules.d / *. yml

reload.enabled: false

==================== Elasticsearch template configuration ========================= =
index.number_of_shards: 3

================================ General ================== ====================
The name of the sender who publishes the network data. It can be used to group
All transactions sent by a single sender in the web interface.
Sender tags are included in their own field with each
published transaction.
tags: ("service-X", "web level")
Optional fields that you can specify to add additional information to the
env: staging
============================== Boards =================== ==================
These configurations control loading the sample panels to the Kibana index. Loading
the panels are disabled by default and can be enabled by configuring
options here, or by using the -setup CLI mark or the configuration command.
setup.dashboards.enabled: false
The URL from where to download the panel file. By default this URL
It has a value that is calculated based on the name and version of Beat. For released
versions, this URL points to the board file in the
============================== Kibana =================== ==================
As of Beats version 6.0.0, the panels are loaded through the Kibana API.
This requires a Kibana endpoint configuration.

============================= Elastic Cloud =================== ===============
These configurations simplify the use of filebeat with Elastic Cloud (
The configuration overwrites the output.elasticsearch.hosts and options.
You can find in the Elastic Cloud web user interface.
The cloud.auth configuration overwrites the output.elasticsearch.username and
output.elasticsearch.password configuration. The format is:
================================ Outputs ================= ====================
Configure which output to use when sending the data collected by the rhythm.
————————– Elasticsearch output ———————- ——–

hosts: ("localhost: 9200")

—————————– Logstash output —————— – ————-

hosts: ("")

================================ Processors ================= ====================
Configure processors to improve or manipulate events generated by rhythm.

add_host_metadata: ~
add_cloud_metadata: ~
================================ Registration ================== ====================
Set the record level. The default log level is information.
The log levels available are: error, warning, information, debugging
logging.level: debug
At the debug level, you can selectively enable logging only for some components.
To enable all selectors, use (""). Examples of other selectors are" beat ",
"publish", "service".
logging.selectors: ("
============================== Xpack Monitoring ================== =============
Filebeat can export internal metrics to a central Elasticsearch monitoring
cluster. This requires that xpack monitoring be enabled in Elasticsearch. the
Reports are disabled by default.
Set to true to enable the monitoring reporter.
xpack.monitoring.enabled: false
Uncomment send metrics to Elasticsearch. Most configurations of
Elasticsearch output is also accepted here. Any settings that are not set are
automatically inherited from the Elasticsearch output configuration, so if
having Elasticsearch output configured, you can simply uncomment the
next line

2020-02-04T22: 51: 30.451-0500 INFO instance / beat.go: 611 Start path: (/usr/local/elk/filebeat-6.8.6-linux-x86_64) Configuration path: (/ usr / local / elk /filebeat-6.8.6-linux-x86_64) Data path: (/usr/local/elk/filebeat-6.8.6-linux-x86_64/data) Log path: (/ usr / local / elk / filebeat -6.8.6 -linux-x86_64 / logs)
2020-02-04T22: 51: 30.451-0500 INFO instance / beat.go: 618 Beat UUID: 05bebefc-da2d-424f-adf7-801057c33454
2020-02-04T22: 51: 30.451-0500 INFO (seccomp) seccomp / seccomp.go: 116 The Syscall filter was installed correctly
2020-02-04T22: 51: 30.452-0500 INFO (beat) instance / beat.go: 931 Beat info {"system_info": {"beat": {"path": {"config": "/ usr / local / elk / filebeat-6.8.6-linux-x86_64 "," data ":" /usr/local/elk/filebeat-6.8.6-linux-x86_64/data "," home ":" / usr / local / elk / filebeat-6.8.6-linux-x86_64 "," logs ":" /usr/local/elk/filebeat-6.8.6-linux-x86_64/logs "}," type ":" filebeat "," uuid ":" 05bebefc-da2d-424f-adf7-801057c33454 "}}}
2020-02-04T22: 51: 30.452-0500 INFO (beat) instance / beat.go: 940 Compilation information {"system_info": {"build": {"commit": "4fa63eb23a94bf23650023317bdff335c4705fc2", "libbeat": "6.8 . 6 "," time ":" 2019-12-13T16: 15: 17.000Z "," version ":" 6.8.6 "}}}
2020-02-04T22: 51: 30.452-0500 INFO (beat) instance / beat.go: 943 Go to runtime information {"system_info": {"go": {"os": "linux", "arch ":" amd64 "," max_procs ": 4," version ":" go1.10.8 "}}}
2020-02-04T22: 51: 30.453-0500 INFO (beat) instance / beat.go: 947 Host information {"system_info": {"host": {"architecture": "x86_64", "boot_time": "2020 – 02-04T22: 07: 52-05: 00 "," containerized ": false," name ":" localhost.localdomain "," ip ":("","::1/128 " , "","fe80::923b:e421:5b93:e6d7/64"),"kernel_version":"3.10.0-1062.el7.x86_64","mac":("00:0c : 29: b0: e7: c4 "," 00: 0c: 29: b0: e7: ce ")," os ": {" family ":" redhat "," platform ":" centos "," name ": "CentOS Linux", "version": "7 (Core)", "major": 7, "minor": 7, "patch": 1908, "codename": "Core"}, "time zone": "EST", "timezone_offset_sec": – 18000, "id": "f311bc113c004dafbdc84930c66e7be0"}}}
2020-02-04T22: 51: 30.454-0500 INFO (time) instance / time.go: 976 Process information {"system_info": {"process": {"capabilities": {"inheritable": null, "allowed" : ("chown", "dac_override", "dac_read_search", "fowner", "fsetid", "kill", "setgid", "setuid", "setpcap", "linux_immutable", "net_bind_service", "net_bind_service", "net_broadcast", "net_admin", "net_raw", "ipc_lock", "ipc_owner", "sys_module", "sys_rawio", "sys_chroot", "sys_ptrace", "sys_pacct", "sys_admin", "sys_boot" , "sys_nice_" "sys_nice_", "sys_time", "sys_tty_config", "mknod", "lease", "audit_write", "audit_control", "setfcap", "mac_override", "mac_admin", "syslog", "wake_alarm "," block_suspend ")," effective ":(" chown "," dac_override "," dac_read_search "," fowner "," fsetid "," kill "," setgid "," setuid "," setpcap "," linux_immutable "," net_bind_service "," net_broadcast "," net_admin "," net_raw "," ipc_lock "," ipc_owner "," sys_module "," sys_rawio "," sys_chroot "," sys_ptrace "," sys_p acct "," sys_admin "," sys_boot "," sys_boot "," sys_boot "," sys_boot_, "sys_boot", "sys_admin_", "sys_resource", "sys_time", "sys_tty_config", "mknod", "lease", "lease" "audit_write", "audit_control", "s etfcap", "mac_override", "mac_admin", "syslog", "wake_alarm", "block_suspend"), "limit" 🙁 "chown", "dac_override", "dac_read_search" , "fowner", "fsetid", "kill", "setgid", "setuid", "setpcap", "linux_immutable", "net_bind_service", "net_broadcast", "net_admin", "net_raw", "ipc_lock", " ipc_owner "," sys_module "," sys_rawio "," sys_chroot "," sys_ptrace "," sys_pacct "," sys_admin "," sys_boot "," sys_nice "," sys_resource "," sys_time "," sys_tty_kn "sl" , "read", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", "audit_write", " audit_write "," audit_write "audit_control", "setfcap", "mac_override", "mac_admin", "syslog", "wake_alarm", "block_suspend"), "ambien t ": null}," cwd ":" / home / centos / shell "," exe ":" /usr/local/elk/filebeat-6.8.6-linux-x86_64/filebeat "," name ":" filebeat "," pid ": 1918," ppid ": 1917," seccomp ": {" mode ":" filter "," no_new_privs ": true}," start_time ":" 2020-02-04T22: 51: 30.080-0500 "}}}
2020-02-04T22: 51: 30.454-0500 INFO instance / beat.go: 280 Setup Beat: filebeat; Version: 6.8.6
2020-02-04T22: 51: 33.458-0500 INFO add_cloud_metadata / add_cloud_metadata.go: 340 add_cloud_metadata: type of hosting provider not detected.
2020-02-04T22: 51: 33.461-0500 DEPURATION (publication) pipeline / consumer.go: 137 pipeline startup event consumer
2020-02-04T22: 51: 33.461-0500 INFO (editor) pipeline / module.go: 110 Beat name: localhost.localdomain
2020-02-04T22: 51: 33.465-0500 INFO (monitoring) log / log.go: 117 Start of metrics log every 30 s
2020-02-04T22: 51: 33.465-0500 INFO instance / beat.go: 402 filebeat starts running.
2020-02-04T22: 51: 33.465-0500 INFO registrar / registrar.go: 134 Uploading data from the registrar from /usr/local/elk/filebeat-6.8.6-linux-x86_64/data/registry
2020-02-04T22: 51: 33.466-0500 INFO Registrar / Registrarr.go: 141 States Loaded Registrar: 0
2020-02-04T22: 51: 33.466-0500 WARN beater / filebeat.go: 367 Filebeat cannot load the ingestion node pipes for the configured modules because the Elasticsearch output is not configured / enabled. If you have already loaded the intake node pipes or are using Logstash pipes, you can ignore this warning.
2020-02-04T22: 51: 33.466-0500 INFO crawler / crawler.go: 72 Load entries: 1
2020-02-04T22: 51: 33.466-0500 INFO crawler / crawler.go: 106 Loading and starting completed entries. Entries enabled: 0
2020-02-04T22: 51: 33.466-0500 INFO cfgfile / reload.go: 150 Config Reloader started
2020-02-04T22: 51: 33.467-0500 INFO cfgfile / reload.go: 205 Upload of configuration files completed.
2020-02-04T22: 52: 03.472-0500 INFO (monitoring) log / log.go: 144 Non-zero metrics in the last 30s {"monitoring": {"metrics": {"beat": {"cpu": {"system": {"ticks": 70, "time": {"ms": 75}}, "total": {"ticks": 90, "time": {"ms": 97}, "value ": 90}," user ": {" ticks ": 20," time ": {" ms ": 22}}}," drive ": {" limit ": {" hard ": 65535," soft ": 65535}, "open": 5}, "info": {"efhemeral_id": "b0f46c2d-cfc2-4646-b404-fbf9ad9c36b6", "uptime": {"ms": 33029}}, "memstats": {" gc_next ": 4194304," memory_alloc ": 2021200," memory_total ": 4978312," rss ": 17391616}}," filebeat ": {" harvester ": {" open_files ": 0," running ": 0}}," libbeat ": {" config ": {" module ": {" running ": 0}," reloads ": 1}," output ": {" type ":" logstash "}," pipeline ": {" clients " : 0, "events": {"active": 0}}}, "registrar": {"states": {"current": 0}}, "system": {"cpu": {"cores": 4 }, "load": {"1": 0.01, "15": 0.05, "5": 0.02, "standard": {"1": 0.0025, "15": 0.0125, "5": 0.005}} }}}}
2020-02-04T22: 52: 33.474-0500 INFO (monitoring) log / log.go: 144 Non-zero metrics in the last 30s {"monitoring": {"metrics": {"beat": {"cpu": {"system": {"ticks": 80, "time": {"ms": 13}}, "total": {"ticks": 100, "time": {"ms": 13}, "value ": 100}," user ": {" ticks ": 20}}," drive ": {" limit ": {" hard ": 65535," soft ": 65535}," open ": 5}," info ": {" ephemeral_id ":" b0f46c2d-cfc2-4646-b404-fbf9ad9c36b6 "," uptime ": {" ms ": 63036}}," memstats ": {" gc_next ": 4194304," memory_alloc ": 2308136 , "memory_total": 5265248}}, "filebeat": {"harvester": {"open_files": 0, "running": 0}}, "libbeat": {"config": {"module": {"running ": 0}}," channeling ": {" clients ": 0," events ": {" active ": 0}}}," registrar ": {" states ": {" current ": 0}}," system ": {" load ": {" 1 ": 0.01," 15 ": 0.05," 5 ": 0.02," standard ": {" 1 ": 0.0025," 15 ": 0.0125," 5 ": 0.005} }}}}}
2020-02-04T22: 53: 03.474-0500 INFO (monitoring) log / log.go: 144 Non-zero metrics in the last 30s {"monitoring": {"metrics": {"beat": {"cpu": {"system": {"ticks": 90, "time": {"ms": 11}}, "total": {"ticks": 110, "time": {"ms": 15}, "value ": 110}," user ": {" ticks ": 20," time ": {" ms ": 4}}}," drive ": {" limit ": {" hard ": 65535," soft ": 65535}, "open": 5}, "info": {"efhemeral_id": "b0f46c2d-cfc2-4646-b404-fbf9ad9c36b6", "uptime": {"ms": 93029}}, "memstats": {" gc_next ": 4194304," memory_alloc ": 2572664," memory_total ": 5529776}}," filebeat ": {" harvester ": {" open_files ": 0," running ": 0}}," libbeat ": {" config ": {" module ": {" running ": 0}}," pipeline ": {" clients ": 0," events ": {" active ": 0}}}," registrar ": {" states " : {"current": 0}}, "system": {"load": {"1": 0, "15": 0.05, "5": 0.01, "standard": {"1": 0, " 15 ": 0.0125," 5 ": 0.0025}}}}}}

Bitcoincore development: how ./configure the compilation of Bitcoin Core to collect depends on the compilation and installation path at the same time?

I am trying to build Bitcoin Core and, if I understand it correctly, the configuration script uses the --prefix= option twice, once for the inclusion of the dependent compilation (from depends/

**Bitcoin Core's configure script by default will ignore the depends output.** In
order for it to pick up libraries, tools, and settings from the depends build,
you must point it at the appropriate `--prefix` directory generated by the
build. In the above example, a prefix dir named x86_64-w64-mingw32 will be
created. To use it for Bitcoin:

    ./configure --prefix=$PWD/depends/x86_64-w64-mingw32

And another use of --prefix as usually used in the configuration, to specify a non-standard installation location (output of ./configure --help):

By default, `make install' will install all the files in
`/usr/local/bin', `/usr/local/lib' etc.  You can specify
an installation prefix other than `/usr/local' using `--prefix',
for instance `--prefix=$HOME'.

How can I specify an installation path and a dependent path at the same time?

How to use the Collect function to reverse the transformation

I want to use the collection function to combine (x^3+3 x^2 y+x^2+3 x y^2+2 x y+x+y^3+y^2+1) inside ((x + y)^3 + (x + y)^2 + x + 1),How can I do that?

Collect((x + y)^3 + (x + y)^2 + x + 1 // Expand, {x, y})

Users: AB / MVT tools that can also collect qualitative comments

I am looking for an AB / MVT test tool that can also collect qualitative comments.

My company currently uses Maxymiser, but I don't think I have that ability. We also have a survey tool (in the page survey). I'm not sure if that can be combined with Maxyiser (that is, the default design has filters on the left. Comaprison's design has filters on the top. Can the survey tool tell what variant the customer gets?)

Can anyone share their thoughts / share their experience?

Thank you,


Workflow: how to collect signatures in a PDF in the SharePoint workflow?

Using SharePoint 2013
Premises: Adobe's PDF form must be digitally signed by multiple signers / approved. Trying to delete multiple copies / multiple emails to people when people do not respond to the task of signing. I do not have the capacity of InfoPath, nor do I have control over the document itself. You have to remain PDF.
The program used is only Nintex for SharePoint.

Workflow using: approval

First phase: the user downloads the form, fills it, signs it digitally, saves it and adds it to the name of the document _Last name (to distinguish multiple requests), uploads to the document library (starts the workflow)

Second phase: the workflow sends the document (signed) to the first level approvers for approval / rejection (no need to sign)

Third phase: the workflow sends the document (signed) to the second level approvers for approval / rejection and must open the document (attached in the notification) and sign digitally. The approver opens the document and as soon as they try to sign (the SAVE AS box appears) -The document is locked to read only and does not allow the approver to save on the desktop with the same name-
The same document name is required when reloading by automating the document overwrite

End of the game: the PDF must be sent automatically and sequentially to 3 Approvers, with the latest version of the form that will be attached in the Task Notification Email for signature and approval.

nginx: collect statistics for the transfer of input data and the transfer of output data

I would like to obtain statistics on the amount of data that my server is transferring in and out, using Nginx.

cPanel / Awstats does this by looking at access logs, and I think this is too much for larger environments.

Is there a way to collect these statistics without having to analyze access logs in Nginx?
All I'm looking for is an approximate total per day or per month.

Looking for a tool to collect university data


I am looking for a tool that can collect all the contact information of US universities by the state. so in the US UU. There are 50 states and I want to collect university information such as email, phone, address, etc.

Is there any tool I can use for this without manually saving them in Excel?

buy bitcoins: how to send requests to a testnet tap to collect coins at my address?

I don't know github's projects for this argument (also the question about the project here is out of the question).

I would like to build a bot

Why do you want to create a bot to request the tBitcoin? Have you needed a lot of bitcoin for your application test?
If so, I think this is not a correct street, the Bitcoin test network is a network for developers and in this network, money is extracted at a low difficulty.
Therefore, for the respect of other developers if you have a lot of tBitcoin to undermine it. (a reference to do so).

Another possibility is to use the bitcoin regtest network, (you can build your local network, a regtest reference)

What is the link? How to send the request? If there is a Github repository about something related? Any documentation?

However, these references from faucet's bitcoin test network are available here, but the request depends on the site that implements the key

arp forgery: how to collect all MAC addresses within the local WiFi network, if you are an administrator in

I will not specify the router model, because I am looking for a universal solution, assuming I am within the local network.

1) The obvious way to do this would be by sending Syslog, most TP-Link routers have a page where you can send hourly emails to an external email address. And all syslogs on routers definitely consist of those Mac addresses. Problem with this method, that most ISPs block port 25 for outgoing connections, so you can't use any external SMTP server (only internal SMTP servers that are absent in most guest networks)

2) A less attractive way is to bring your laptop and request a wifi password. I call it less attractive because it requires physical presence with a laptop within the local network (being connected as a guest to the WiFi router)

3) Another way is to use Android applications that scan mac addresses that also require physical presence

4) And, of course, use dynamic DNS to connect to the router. But most ISPs put routers behind NAT and multiple vLANs so you can't access that even from the internal network of the ISP.

Am I missing some obvious ways to spy on mac addresses on someone's Wi-Fi network?

I ask this question, because I want to understand all the ways that someone could use to filter the mac addresses of those devices on the internal network with cheaper Wi-Fi routers.