Node.js NGINX
Difficulty:
4
Time:
3.5
This article guides you through setting up Node.js application for production.
You need to create a Server (Ubuntu) with a valid HostName
and credentials at https://cloud.godaddy.com/servers
with your GoDaddy registered credential.
Please visit <hyper-link> on how to create an Ubuntu server on cloud.
Node.js.
Nginx
web server, which will act as a reverse proxy.SUDO
group.Please visit <hyper-link> on how add user to SUDO
group.>
Node.js
using the following command
‘https://nodejs.org/download/’
, and download theNode.js
using the command below
.tar
using the command below
Make sure to configure the sample application to respond to appropriate IP and ports. Also, application should server the request from reverse proxy server.
Retrieve the IP address from the server (Private IP Address) or by using the following command
Edit Node.js
application using the following command
Include the following code with your Private IP Address and a non-admin port. (Admin ports - < 1024)
Press key ‘I’ to start editing.
Var http = require(‘http’);
http.createserver(function (req, res){
res.writehead(200, {‘content-type’: ‘text/plain’});
res.end(‘Sample Node Js Application \n’);}).listen(<port>,’<privateipaddress>’);
console.log(‘http://<privateipaddress>:<port>/’);
Save, exit(esc -> :wq -> ENTER)
and look for
200
HTTP success code.
Then, test your application by following the steps below
Execute the following command
Check for ‘Sample Node Js Application’ as output
Process manager for Node.js
is installed using the following command
This enables the application run as a service
Execute the following command to start the application
This adds application to the process list and outputs the following
As you notice, it contains all the information about the process/service.
Execute the following command to enable automatic startup with the server reboots. The platform needs to be specified as well.
The resulting output will have the command that needs to be run as root user or super user. Copy the command from the output to clipboard and execute the same.
Execute the following command to stop the service or process
Execute the following command to restart the service or process
Execute the following command to obtain the list of application managed by Process Manager.
Execute the following command to obtain available information of the process or service
Execute the following command to obtain application status of the Process Manager
It’s vital that you set up a way, so the users are able to access it. We will walk through the process of setting up Nginx
web server as a reverse proxy for this purpose.
Update the apt-get package list using the following command
Install Nginx
using apt-get using the following command
Open the default server block using the following command
The configuration file will open up. Press key ‘I’ to switch to edit mode and replace it with the following.
server {listen 80;
server_name <servername>;
location / {
proxy_pass http://<privateipaddress>:<port>;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_cache_bypass $http_upgrade;
}
}
This enables the server to respond to the requests. The server can be accessed at http://<servername>.com/
- the request will then be served by
Node.js
application.
Restart the Nginx server using the following command
You should now be able to access the application hitting the server url.


create developer login and create new product (any)
enter product_id, product_secret, pin here
this section is not working!!!!
use only the access_token in below section!!!!
create developer login and create new product (any)
use product_id, product_secret, pin to get access_token
Try to push the Search Button until to find Nest devices in your home.
If you see blue delete buttons, save settings first and open again the page.
| id | type | name | delete |
|---|


From pencil to Illustrator, Design Aesthetics required our class to experiment with leaf ideations. Starting from a maple leaf found in nature, sketching, tracing, and transforming it through different steps, a series of modules were the final product. By altering different parts of the digitalized form, I created a unique composition which translates well into a brand.


Localbitcoins has recently removed Monero & other cryptocurrencies from the payment methods list, so we welcome everyone to exchange BTC to other cryptos at https://t.co/IEBSTCpSni
Markus22-May-19 12:07 PM
how is that safe then if there is no escrow service
Read writing from Dwy on Medium. Blockchain enthusiast, KMD NotaryNode OP, Barterlly’s co-founder. Every day, Dwy and thousands of other voices read, write, and share important stories on Medium.
not using DEX atm, currently, it s an automated escrow platform
we're refining the app, and securing the core, the migration to decentralized solution will be the next steps
CryptoNinjaa22-May-19 03:36 PM
Those bartelly trade links are
2
LocoMB22-May-19 03:36 PM
this looks spot on! - front end like a regular exchange, accessible with browser, no need for special trading app
ah ok! needs a bit more work - but I think this is the way to go
Deleted User22-May-19 03:37 PM
basically we want to allow a bridge for assetchains to make devs consider coming to KMD tech, and providing tools like what will happen with Tortuga
A ton of other features will also come, like a discord swapbot / Mobile app, and many more
once we get everything set, as our approach is modular, we will be able to replace the current core by a DEX version, but this will take time
CryptoNinjaa22-May-19 03:38 PM
How popular has it been so far @Deleted User has there been many trades?
LocoMB22-May-19 03:38 PM
looking forward to the day $HITTREX will shit their pants over this(edited)
1
Deleted User22-May-19 03:39 PM
There are a lot of offers, but not a lot of answers yet, to handle this we will integrate more coins, and start communicating. We ll also release bounty for first traders
we reached 150 users in less than 48H, but had to shut down the app the 10 last days
LocoMB22-May-19 03:40 PM
I think you should not be shy to build in a small commission or incentive for yourself- ppl appreciate a cool service, and as long as it is not too high will gladly see a small obulus pass your way
2
Deleted User22-May-19 03:40 PM
migrating to cloudflare has been a pain, so we revised our approach and will progressibely switch to it
CryptoNinjaa22-May-19 03:40 PM
Well its looking fantastic currently and i really like the idea of making an offer and then being able to share that with anyone
Deleted User22-May-19 03:41 PM
for now, my only promise is to get any AC that is Dpowed a free listing
and dpowed coins
2
LocoMB22-May-19 03:41 PM
with all the animosity towards CEXes out there, you could hit some jackpot!
well doesnt have to be trading fees- but there will be some profit defo in it for you
Deleted User22-May-19 03:42 PM
Yeah, but don't forget that even if we want to tend on a DEX mode, the ability to go fast and get experience was crucial, so we wanted to design a system that can be modular enough to replace any part without problem(edited)
For Assetchain, it is set in stone, if the AC is dpowed, we won t ask for any fee for listing, KMD is the reason am in crypto today, so I want to keep AC as a safeheaven(edited)
External dpowed coins is another subject, cause it s far more heavy on resources, and more time consuming
#Tortuga the p2p trading post is 1 week away.
A safe haven for any coin to trade OTC in confidence.
Escrowed, coded and secured by your wallet.
If you want a project added, DM us or @barterlly for an early bird discount.
Paid to the dev in $ARRR, $KMD, $BTC or your coi...
6
this will basically be one service we will provide among a long list
CryptoNinjaa22-May-19 03:50 PM
@Deleted User "For Assetchain, it is set in stone, if the AC is dpowed, we won t ask for any fee for listing, KMD is the reason am in crypto today, so I want to keep AC as a safeheaven" Respect that
@Deleted User will barterlly change name to tortuga?
Deleted User22-May-19 04:27 PM
Nope, not at all, Tortuga will use Barterlly's core
siu - Chainmakers22-May-19 04:28 PM
Iota weekly candle is sitting right on top of upper bb
Deleted User22-May-19 04:28 PM
like any coin that want its own page with specific template
hastrup22-May-19 04:28 PM
So it's like barterdex/hyperdex?
siu - Chainmakers22-May-19 04:28 PM
If it manages to maintain price above we will see moon fast
Deleted User22-May-19 04:28 PM
any coin can decide to use the templating tool
just see tortuga as Barterlly's duplicate app with different branding
but the branding does not stop with the website, if we take Tortuga's example, when the UI will be finished, even the app will be branded Tortuga, with all designs
the app, being the future release of mobile apps
@Deleted User I don't understand
Gordon Komodo22-May-19 04:31 PM
will order on Tortuga also appear on Barterlly and other duplicate app with different branding as well?
Deleted User22-May-19 04:31 PM
exactly
sharing liquidity
the core is the same
3
but the page on the browser will look different if you go on one or another website
a coin that decide to get the templating done will have its own branding, but will get the benefits of the shared liquidity pool
as of now, we got a defined method and a "logical path" handling offers and trades. But some options are very interesting, like the ability to skip entering your addresses via a portfolio manager : Users will have the ability to enter every address they want to receive funds on, addresses they got full control, so when a user will issue a swap, or answer to one, if he filled his Portfolio section, the app will give him the option to get a "shortcut" when filling a trade(edited)
2
That's one of the thing we will develop, like profile pages for people wanting to show their rating
Or allowing fasttrades with prefill option
Don't forget that on the user side, Barterlly is JUST a webpage, so it s integrable to anything, from a wallet to a mobile app, to a chrome plugin
and so on ^^
the core being totally independent from the app, even if the UI is down, the trading mechanism is still up ! (and for example, using the API will also work)(edited)
@Deleted User I don't know if that s what you wanted to say, but are we acting like exchange, the answer is yes and no.
We handle funds during the trade processing, but as every trade is bound to a new and fresh generated address, there is no way to deposit funds on the platform if there is no trade involved
A brand new scam has been shut down in seconds by the bitcoin community. A new, anonymous account on Bitcoin forum bitcointalk attempted to buy old wallet addresses from long-standing bitcoin users. The original post has now been deleted, but can be viewed on an archive site ...
A somewhat strange announcement appeared on the well-known BitcoinTalk forum, in which the user of WalletBuyer… by rmnomg
jl777c22-May-19 06:52 PM
so if csw signs with an early bitcoin privkey, it just shows that someone sold it to him.
2
Alexfrog22-May-19 06:53 PM
hmm
i think youre right
jl777c22-May-19 06:53 PM
even if he signed every single block, i still wouldnt believe he is satoshi, but that he somehow stole satoshis privkeys instead
Alexfrog22-May-19 06:53 PM
it would mean satoshi gave it to him so they would stop looking for him
jl777c22-May-19 06:54 PM
no, if he just signs 3 addresses, it means 3 early miners sold it to him for $5000 each
only if he signs 100,000+ worth of addresses, would it prove he has access to satoshi keys, and that just means that he obtained them in likely some illicit way
The Dash Investment Foundation has been established with the intention of increasing the value of Dash for all users. Learn about how the foundation can util...


This is a very tiny tiny post with less than 250 letters.
Search should be working even for complicated escape symbols
sed -i 's/\"hostname\"\:.*$/\"hostname\"\: \"'$IPADDR'\"\,/g' open-falcon/agent/config/cfg.json


Find us at
MorandinWines.ca
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416-958-0746
Hours of operation
Monday
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11:00-5:00
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Associate Your GenomeSpace Account With a GenePattern Account
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Comments
Anonymous Joe
2 hrs ago
Who do you think you are telling me to recycle?
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Anonymous Mike
2 hrs ago
Anonymous Joe, why don't you get a life?
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LCOV - code coverage report
Current view:
top level
-
ckb/sync/src/relayer
- mod.rs
(
source
/ functions)
Hit
Total
Coverage
Test:
lcov-unit-test.info
Lines:
190
594
32.0 %
Date:
2021-08-30 15:39:37
Functions:
13
39
33.3 %
Function Name
Hit count
<ckb_sync::relayer::ReconstructionResult as core::cmp::PartialEq>::ne
0
<ckb_sync::relayer::ReconstructionResult as core::fmt::Debug>::fmt
0
<ckb_sync::relayer::RelaySwitch as core::clone::Clone>::clone
0
<ckb_sync::relayer::RelaySwitch as core::fmt::Debug>::fmt
0
<ckb_sync::relayer::RelaySwitch>::new
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::connected
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::disconnected
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::init
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::notify
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::notify::{closure#0}
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::notify::{closure#1}
0
<ckb_sync::relayer::Relayer as ckb_network::protocols::CKBProtocolHandler>::received
0
<ckb_sync::relayer::Relayer as core::clone::Clone>::clone
0
<ckb_sync::relayer::Relayer>::accept_block::{closure#0}
0
<ckb_sync::relayer::Relayer>::accept_block::{closure#1}
0
<ckb_sync::relayer::Relayer>::ask_for_txs
0
<ckb_sync::relayer::Relayer>::process
0
<ckb_sync::relayer::Relayer>::prune_tx_proposal_request
0
<ckb_sync::relayer::Relayer>::prune_tx_proposal_request::{closure#0}
0
<ckb_sync::relayer::Relayer>::prune_tx_proposal_request::{closure#1}
0
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#3}
0
<ckb_sync::relayer::Relayer>::send_bulk_of_tx_hashes
0
<ckb_sync::relayer::Relayer>::send_bulk_of_tx_hashes::{closure#0}
0
<ckb_sync::relayer::Relayer>::send_bulk_of_tx_hashes::{closure#1}
0
<ckb_sync::relayer::Relayer>::try_process
0
<ckb_sync::relayer::Relayer>::v2
0
<ckb_sync::relayer::ReconstructionResult as core::cmp::PartialEq>::eq
1
<ckb_sync::relayer::Relayer>::accept_block
1
<ckb_sync::relayer::Relayer>::new
1
<ckb_sync::relayer::Relayer>::reconstruct_block
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#0}
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#1}
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#1}::{closure#0}
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#2}
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#4}
1
<ckb_sync::relayer::Relayer>::reconstruct_block::{closure#5}
1
<ckb_sync::relayer::Relayer>::request_proposal_txs
1
<ckb_sync::relayer::Relayer>::request_proposal_txs::{closure#0}
1
<ckb_sync::relayer::Relayer>::shared
1
Generated by:
LCOV version 1.14


public interface GeneralNameInterface
| Modifier and Type | Field and Description |
|---|---|
static int |
NAME_ANY
The list of names supported.
|
static int |
NAME_DIFF_TYPE
The list of constraint results.
|
static int |
NAME_DIRECTORY |
static int |
NAME_DNS |
static int |
NAME_EDI |
static int |
NAME_IP |
static int |
NAME_MATCH |
static int |
NAME_NARROWS |
static int |
NAME_OID |
static int |
NAME_RFC822 |
static int |
NAME_SAME_TYPE |
static int |
NAME_URI |
static int |
NAME_WIDENS |
static int |
NAME_X400 |
| Modifier and Type | Method and Description |
|---|---|
int |
constrains(GeneralNameInterface inputName)
Return type of constraint inputName places on this name:
NAME_DIFF_TYPE = -1: input name is different type from name (i.e.
|
void |
encode(DerOutputStream out)
Encode the name to the specified DerOutputStream.
|
int |
getType()
Return the type of the general name, as
defined above.
|
int |
subtreeDepth()
Return subtree depth of this name for purposes of determining
NameConstraints minimum and maximum bounds and for calculating
path lengths in name subtrees.
|
static final int NAME_ANY
static final int NAME_RFC822
static final int NAME_DNS
static final int NAME_X400
static final int NAME_DIRECTORY
static final int NAME_EDI
static final int NAME_URI
static final int NAME_IP
static final int NAME_OID
static final int NAME_DIFF_TYPE
static final int NAME_MATCH
static final int NAME_NARROWS
static final int NAME_WIDENS
static final int NAME_SAME_TYPE
int getType()
void encode(DerOutputStream out) throws java.io.IOException
out
- the DerOutputStream to encode the GeneralName to.java.io.IOException
- thrown if the GeneralName could not be
encoded.int constrains(GeneralNameInterface inputName) throws java.lang.UnsupportedOperationException
inputName
- to be checked for being constrainedjava.lang.UnsupportedOperationException
- if name is same type, but comparison operations are
not supported for this name type.int subtreeDepth() throws java.lang.UnsupportedOperationException
java.lang.UnsupportedOperationException
- if not supported for this name type


All Classes
Command
CommandClassTest
CommandFactory
Direction
DirectionTest
LeftCommand
LeftInstructionTest
MoveCommand
MoveInstructionTest
PlaceCommand
PlaceInstructionTest
ReportCommand
RightCommand
RightInstructionTest
Robot
Simulator
TableTop


CV
For a more detailed CV, please download the PDF here
EDUCATION
Harvard-MIT Health Sciences and Technology, Cambridge, MA
Incoming Ph.D. Student in Medical Engineering and Medical Physics (Expected May 2024)
Concentration in Electrical Engineering
GEM Associate Fellow
Sigma Xi Society, Associate Member
Cornell University, College of Engineering, Ithaca, NY
B.S. in Biomedical Engineering (Inagural Graduating Class, Expected: May 2018)
Concentration in Bioinstrumentation and Imaging (EECS)
Sigma Xi Society, Associate Member
RESEARCH
Undergraduate Research Assistant, Laboratories of Dr. Lawrence Bonassar and Dr. Lara Estroff,
Meinig School of Biomedical Engineering/Department of Materials Science and Engineering Cornell University, Ithaca, NY
May 2015 – Present
I aim to characterize and replicate the meniscal entheses, which attach the meniscal body to bone.
● Created meniscal enthesis constructs using trabecular bone cores containing mineralization gradients and tested tensile strength of constructs to determine the ideal demineralization profile for enthesis.
● Created custom MATLAB scripts to analyze the demineralization profile of partially demineralized trabecular bone cores.
● Established a standardized demineralization procedure for trabecular bone cores to further improve the mechanical properties of meniscal enthesis constructs.
● Analyzed microCT scans of demineralized bone experimental samples qualitatively by creating 3D renderings in Avizo Fire.
● Implemented histological techniques to compare protein localization and collagen fiber alignment in meniscal enthesis constructs to the native enthesis.
Amgen Scholar, Laboratory of Dr. Lei Xing,
Department of Radiation Oncology Stanford University, Stanford, CA
June 2017–August 2017
I aimed to develop a neural network that will identify artifacts in real-time MRI imaging.
● Developed a recurrent convolutional neural network to automate artifact identification in real-time MRI.
● Developed a deep convolutional neural network that automates aliasing artifact identification on MRI images.
● Developed Python algorithm to introduce aliasing motion artifacts in complex-valued MRI images.
Biomarker Development Intern, Clinical and Translational Imaging Group,
Novartis Institute for Biomedical Research, East Hanover, NJ
May 2016 - August 2016
At Novartis, I aimed to more efficiently process Proof-of-Concept data for several pre-clinical drug trials using MATLAB, Spotfire, and Microsoft Office to prove their efficacy.
● Generated Proof-of-Concept data for several concurrent preclinical studies for transition to the next stage in FDA approval.
● Analyzed optical coherence tomography images of intra-retinal fluids to determine drug efficacy on reduction of fluid volumes in a clinical trial.
● Validated novel software that aimed to better visualize intra-retinal fluids using three-dimensional reconstructions and user-delineated fluid selections.
● Evaluated clinical trial data to determine systemic and local effects of a new topical analgesic treatment using Spotfire and Microsoft Excel visualization and data analysis techniques.
Research Assistant, Biomaterials and Interface Tissue Engineering Lab,
Department of Biomedical Engineering Columbia University, New York City, NY
March 2014 - July 2014
At Columbia, I aimed to determine whether nanofiber polymer scaffolds intended for use in drug delivery could withstand the mechanical stresses experienced by the periodontal ligament.
● Mapped tensile properties of nanofiber scaffolds to validate them as a replacement for native periodontal ligamentous tissue.
● Electrospun polymer nanofiber scaffolds of different chemical compositions.
● Performed fluorescence assays on cell-seeded scaffolds to determine DNA content and cell viability.
● Performed mechanical testing to determine failure energies of polymer scaffolds and interpreted results using MATLAB and Microsoft Excel.
PUBLICATIONS
Jordan Harrod, Morteza Mardani, John Pauly, Lei Xing. “Deep Predictive Coding For Super Time-Resolved MR Imaging” (Abstract) Neural Information Processing Systems, 2017, December 9th, 2017
Jordan Harrod, Morteza Mardani, Lei Xing. “Automated Artifact Identification in MR Images Using Deep Convolutional Networks” (Abstract) BMES Annual Meeting, 2017, October 11th, 2017
Guillaume Normand, Eric H Souied, Bruno Lay, Ronan Danno, Rocio Blanco-Garavito, Perrinne Charrard, Jordan Harrod, Michael Maker, Sudeep Chandra, Georges Weissgerber. “Validation of 3D volumetry for a novel anti- angiogenic therapy of neovascular age-related macular degeneration” (Abstract), ARVO Annual Meeting 2017, May 8, 2017
PRESENTATIONS
Jordan Harrod, Morteza Mordani, Lei Xing. “Motion Artifact Detection for Real-Time MR Imaging” Stanford Summer Research Program Symposium. August 23, 2017
Team TransFur (Jordan Harrod, Elizabeth Feeney, Morgan Feldman, Priya Balasubramanian) “TransFur – Top 10 Finalist Presentation” Animal Health Hackathon, January 29th, 2017
TEACHING
Undergraduate Teaching Assistant
BME 3310: Medical and Preclinical Imaging
Meinig School of Biomedical Engineering, Cornell University
● Advised students on imaging modalities and image analysis, and held office hours.
Undergraduate Teaching Assistant
BME 3030: Measurement and Instrumentation in Biomedical Engineering
Meinig School of Biomedical Engineering, Cornell University
● Designed and taught a lecture on advanced biomedical data manipulation.
● Advised students on circuit design and experimental design during an instrumentation lab and held office hours.
Chemistry Tutor
CHEM 1007: Academic Support for CHEM 2070
Department of Chemistry, Cornell University
• Tutored underclassmen in introductory chemistry
AWARDS AND HONORS
National Action Council for Minorities in Engineering (NACME) Scholarship May 2017
National Action Council for Minorities in Engineering, Cornell University Diversity Programs in Engineering
Undergraduate Excellence in Service Award
Cornell University Diversity Programs in Engineering
Animal Health Hackathon, 9th Place (Team TransFur)
Entrepreneurship at Cornell, Cornell University College of Veterinary Medicine
National Residence Hall Honorary Student of the Year
National Residence Hall Honorary, Cornell University Chapter
National Residence Hall Honorary Student of the Month
National Residence Hall Honorary, Cornell University Chapter


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Class: Aws::LexModelBuildingService::Types::PutBotRequest
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb |
Overview
Constant Summary
Instance Attribute Summary
-
#abort_statement ⇒ Types::Statement
rw
When Amazon
::Aws::Lex
can't understand the user's input in context, it tries to elicit the information a few times. -
#checksum ⇒ String
rw
Identifies a specific revision of the
$LATEST
version. -
#child_directed ⇒ Boolean
rw
For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
true
orfalse
in thechildDirected
field. -
#clarification_prompt ⇒ Types::Prompt
rw
When Amazon
::Aws::Lex
doesn't understand the user's intent, it uses this message to get clarification. -
#create_version ⇒ Boolean
rw
When set to
true
a new numbered version of the bot is created. -
#description ⇒ String
rw
A description of the bot.
-
#detect_sentiment ⇒ Boolean
rw
When set to
true
user utterances are sent to Amazon Comprehend for sentiment analysis. -
#enable_model_improvements ⇒ Boolean
rw
Set to
true
to enable access to natural language understanding improvements. -
#idle_session_ttl_in_seconds ⇒ Integer
rw
The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
-
#intents ⇒ Array<Types::Intent>
rw
An array of
Intent
objects. -
#locale ⇒ String
rw
Specifies the target locale for the bot.
-
#name ⇒ String
rw
The name of the bot.
-
#nlu_intent_confidence_threshold ⇒ Float
rw
Determines the threshold where Amazon Lex will insert the
AMAZON.FallbackIntent
,AMAZON.KendraSearchIntent
, or both when returning alternative intents in a [PostContent][1] or [PostText][2] response. -
#process_behavior ⇒ String
rw
If you set the
processBehavior
element toBUILD
, Amazon Lex builds the bot so that it can be run. -
#tags ⇒ Array<Types::Tag>
rw
A list of tags to add to the bot.
-
#voice_id ⇒ String
rw
The Amazon
::Aws::Polly
voice ID that you want Amazon Lex to use for voice interactions with the user.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#abort_statement ⇒ Types::Statement (rw)
When Amazon ::Aws::Lex
can't understand the user's input in context, it
tries to elicit the information a few times. After that, Amazon Lex
sends the message defined in abortStatement
to the user, and then
cancels the conversation. To set the number of retries, use the
valueElicitationPrompt
field for the slot type.
For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
For example, in a pizza ordering application, OrderPizza
might be
one of the intents. This intent might require the CrustType
slot.
You specify the valueElicitationPrompt
field when you create the
CrustType
slot.
If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#checksum ⇒ String
(rw)
Identifies a specific revision of the $LATEST
version.
When you create a new bot, leave the checksum
field blank. If you
specify a checksum you get a BadRequestException
exception.
When you want to update a bot, set the checksum
field to the
checksum of the most recent revision of the $LATEST
version. If
you don't specify the checksum
field, or if the checksum does
not match the $LATEST
version, you get a
PreconditionFailedException
exception.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#child_directed ⇒ Boolean
(rw)
For each Amazon Lex bot created with the Amazon Lex Model Building
Service, you must specify whether your use of Amazon Lex is related
to a website, program, or other application that is directed or
targeted, in whole or in part, to children under age 13 and subject
to the Children's Online Privacy Protection Act (COPPA) by
specifying true
or false
in the childDirected
field. By
specifying true
in the childDirected
field, you confirm that
your use of Amazon Lex is related to a website, program, or
other application that is directed or targeted, in whole or in part,
to children under age 13 and subject to COPPA. By specifying false
in the childDirected
field, you confirm that your use of Amazon
::Aws::Lex
is not related to a website, program, or other application
that is directed or targeted, in whole or in part, to children under
age 13 and subject to COPPA. You may not specify a default value for
the childDirected
field that does not accurately reflect whether
your use of Amazon Lex is related to a website, program, or other
application that is directed or targeted, in whole or in part, to
children under age 13 and subject to COPPA.
If your use of Amazon Lex relates to a website, program, or other
application that is directed in whole or in part, to children under
age 13, you must obtain any required verifiable parental consent
under COPPA. For information regarding the use of Amazon Lex in
connection with websites, programs, or other applications that are
directed or targeted, in whole or in part, to children under age 13,
see the Amazon ::Aws::Lex
FAQ.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#clarification_prompt ⇒ Types::Prompt (rw)
When Amazon ::Aws::Lex
doesn't understand the user's intent, it uses this
message to get clarification. To specify how many times Amazon Lex
should repeat the clarification prompt, use the maxAttempts
field.
If Amazon ::Aws::Lex
still doesn't understand, it sends the message in the
abortStatement
field.
When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
If you have defined a fallback intent, it will be invoked if the
clarification prompt is repeated the number of times defined in the
maxAttempts
field. For more information, see
AMAZON.FallbackIntent.
If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
::Aws::Lambda
function - When using a::Aws::Lambda
function, you return anElicitIntent
dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.PutSession operation - When using the
PutSession
operation, you send anElicitIntent
dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#create_version ⇒ Boolean
(rw)
When set to true
a new numbered version of the bot is created.
This is the same as calling the CreateBotVersion
operation. If you
don't specify createVersion
, the default is false
.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#description ⇒ String
(rw)
A description of the bot.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#detect_sentiment ⇒ Boolean
(rw)
When set to true
user utterances are sent to Amazon Comprehend for
sentiment analysis. If you don't specify detectSentiment
, the
default is false
.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#enable_model_improvements ⇒ Boolean
(rw)
Set to true
to enable access to natural language understanding
improvements.
When you set the enableModelImprovements
parameter to true
you
can use the nluIntentConfidenceThreshold
parameter to configure
confidence scores. For more information, see Confidence Scores.
You can only set the enableModelImprovements
parameter in certain
Regions. If you set the parameter to true
, your bot has access to
accuracy improvements.
The Regions where you can set the enableModelImprovements
parameter to true
are:
US East (N. Virginia) (us-east-1)
US West (Oregon) (us-west-2)
Asia Pacific (Sydney) (ap-southeast-2)
EU (Ireland) (eu-west-1)
In other Regions, the enableModelImprovements
parameter is set to
true
by default. In these Regions setting the parameter to false
throws a ValidationException
exception.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#idle_session_ttl_in_seconds ⇒ Integer
(rw)
The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
If you don't include the idleSessionTTLInSeconds
element in a
PutBot
operation request, Amazon Lex uses the default value. This
is also true if the request replaces an existing bot.
The default is 300 seconds (5 minutes).
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#intents ⇒ Array
<Types::Intent> (rw)
An array of Intent
objects. Each intent represents a command that
a user can express. For example, a pizza ordering bot might support
an OrderPizza intent. For more information, see how-it-works.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#locale ⇒ String
(rw)
Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
The default is en-US
.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#name ⇒ String
(rw)
The name of the bot. The name is not case sensitive.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#nlu_intent_confidence_threshold ⇒ Float
(rw)
Determines the threshold where Amazon Lex will insert the
AMAZON.FallbackIntent
, AMAZON.KendraSearchIntent
, or both when
returning alternative intents in a PostContent or PostText
response. AMAZON.FallbackIntent
and AMAZON.KendraSearchIntent
are only inserted if they are configured for the bot.
You must set the enableModelImprovements
parameter to true
to
use confidence scores in the following regions.
US East (N. Virginia) (us-east-1)
US West (Oregon) (us-west-2)
Asia Pacific (Sydney) (ap-southeast-2)
EU (Ireland) (eu-west-1)
In other Regions, the enableModelImprovements
parameter is set to
true
by default.
For example, suppose a bot is configured with the confidence
threshold of 0.80 and the AMAZON.FallbackIntent
. Amazon Lex
returns three alternative intents with the following confidence
scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response
from the PostText
operation would be:
AMAZON.FallbackIntent
IntentA
IntentB
IntentC
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#process_behavior ⇒ String
(rw)
If you set the processBehavior
element to BUILD
, Amazon Lex
builds the bot so that it can be run. If you set the element to
SAVE
Amazon Lex saves the bot, but doesn't build it.
If you don't specify this value, the default value is BUILD
.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#tags ⇒ Array
<Types::Tag> (rw)
A list of tags to add to the bot. You can only add tags when you
create a bot, you can't use the PutBot
operation to update the
tags on a bot. To update tags, use the TagResource
operation.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end
#voice_id ⇒ String
(rw)
The Amazon ::Aws::Polly
voice ID that you want Amazon Lex to use for voice
interactions with the user. The locale configured for the voice must
match the locale of the bot. For more information, see Voices in
Amazon Polly in the Amazon ::Aws::Polly
Developer Guide.
# File 'gems/aws-sdk-lexmodelbuildingservice/lib/aws-sdk-lexmodelbuildingservice/types.rb', line 3251
class PutBotRequest < Struct.new( :name, :description, :intents, :enable_model_improvements, :nlu_intent_confidence_threshold, :clarification_prompt, :abort_statement, :idle_session_ttl_in_seconds, :voice_id, :checksum, :process_behavior, :locale, :child_directed, :detect_sentiment, :create_version, : ) SENSITIVE = [] include Aws::Structure end


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#import "template.html" as t><EMAIL_ADDRESS><#include "navbar.html" />
| ${labels["name"]} | ${labels["description"]} | ${labels["connector.type"]} | <#list scheduledJobTypeList?sort_by( "createdDate") as scheduledJobType> |
|---|---|---|---|
| ${scheduledJobType.name} | ${scheduledJobType.description} | ${scheduledJobType.connectorType.name} | ${labels["select"]} |
| ${labels["organization.name"]} | ${labels["organization.type"]} | ${labels["instance.name"]} | ${labels["identity.name"]} | <#list salesforceConnectorsList?sort_by( "createdDate") as salesforceConnector> |
|---|---|---|---|---|
| ${salesforceConnector.organization.name} | ${salesforceConnector.organization.organizationType} | ${salesforceConnector.organization.instanceName} | ${salesforceConnector.identity.displayName} | ${labels["select"]} |
| ${labels["name"]} | ${labels["service.endpoint"]} | ${labels["api.version"]} | <#list environments?sort_by( "addedOn") as environment> |
|---|---|---|---|
| ${(environment.environmentName)!} | ${(environment.serviceEndpoint)!} | ${(environment.apiVersion)!} | ${labels["select"]} |


description = "Footer" [viewBag] [staticMenu] code = "footer-main-menu" [staticMenu staticMenu2] code = "footermenu" ==
© {{ "now"|date("Y") }} {{ this.theme.site_name }}. All right reserved. Designed by Ketitkidis.com


Taxi Driver (1976)
Grade: 68
"Taxi Driver" is a brooding, sometimes violent character study. Although controversial, it has generally been highly praised. While it is a good film, it lacks focus, and De Niro's character transitions sometimes lack credibility.
A very lean Robert De Niro is Travis, a taxi driver in New York City.  He keeps a journal in which he condemns the street life of NYC, and wishes that somebody would clean the city up. He develops obsessions for political staffer Cybil Shephard, her Presidential candidate Senator Palantine (Leonard Harris), handguns, and a twelve year old prostitute (Jodie Foster).
The climax of "Taxi Driver" has the heavily armed De Niro attempting to rescue Foster from her pimp (Harvey Keitel, who has shoulder-length hair). This results in a graphic shootout. I don't object to the bloodfest, but its aftermath. It is as if nothing has happened: Travis is again working as a cab driver, and has recovered his mental faculties.
After Shephard's brief relationship with De Niro ends, her character keeps resurfacing. This is as confusing to me as De Niro's actions. He attends a Palantine speech, apparently to assassinate him, with the assumed motive of impressing Shephard. But by this time, his interests have turned to Foster and Keitel. The Bernard Herrman score, good as it is, increases the confusion, changing back and forth from sleepy retro jazz to something more brooding and ominous.
"Taxi Driver" is a very interesting film. It is impossible to predict where the story will go next, the dialogue is very good, and the cast and direction (by Martin Scorsese) is good. Palantine, a stereotype of an ambitious, platitude-spouting politician, is the only weak character.
1976 was the year of "Network" and "Rocky", preventing "Taxi Driver" from winning any Academy Awards. The film was nominated for Best Picture, Best Actor (De Niro), Best Supporting Actress (Foster) and Best Score.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
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Quebec City
Destination:
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Ottawa
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Post Trip
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Make sure you set start
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Why isn't my parser working
Streaming files bypasses the page parser, so just disabling streaming html files should fix the problem.
Why am I getting weird response from returnFunction/asyncReturnFunction
This is because if an error occurs while writing data to the page, the marker for the location to write the result is never replaced.
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Try to update lightspeed and if the issue persists, go and report it on the issue tracker.