I am trying to create path between two location on map and I am getting the markers on the correct position but path is not drawn due to this error.
setPolylines() async
{
List<PointLatLng> result = await
polylinePoints.getRouteBetweenCoordinates(
googleAPIKey,
SOURCE_LOCATION.latitude,
SOURCE_LOCATION.longitude,
DEST_LOCATION.latitude,
DEST_LOCATION.longitude
);
if(result.isNotEmpty){
result.forEach((PointLatLng point){
polylineCoordinates.add(
LatLng(point.latitude, point.longitude));
});
}
setState(() {
Polyline polyline = Polyline(
polylineId: PolylineId("poly"),
color: Color.fromARGB(255, 40, 122, 198),
points: polylineCoordinates
);
_polylines.add(polyline);
});
}
Unhandled Exception: Exception: RangeError (index): Invalid value: Valid value range is empty: 0
How am I suppose to fix this?
Try this.
await
polylinePoints.getRouteBetweenCoordinates(
googleAPIKey,
SOURCE_LOCATION.latitude,
SOURCE_LOCATION.longitude,
DEST_LOCATION.latitude,
DEST_LOCATION.longitude
).then((result){
if(result.isNotEmpty){
result.forEach((PointLatLng point){
polylineCoordinates.add(
LatLng(point.latitude, point.longitude));
});
}
setState(() {
Polyline polyline = Polyline(
polylineId: PolylineId("poly"),
color: Color.fromARGB(255, 40, 122, 198),
points: polylineCoordinates
);
_polylines.add(polyline);
});
});
The error is probably because of not enabling Directions API on your Google console, in my case i also had to set up my billing after enabling it to get the route to show. You can also make use of the $300 free trial credit.
You are getting this error because {
"error_message": "This API project is not authorized to use this API.",
"routes": [],
"status": "REQUEST_DENIED"
}
Make sure to enable the maps api.
Related
With this method app is listening for chain change:
ethereum.on('chainChanged', (chainId) => {
})
but if the chain to which the user is going is not added yet into metamask it throws :
inpage.js:1 MetaMask - RPC Error: Unrecognized chain ID "0x89".
Try adding the chain using wallet_addEthereumChain first. Object
of course, there is a method to add a new chain into metamask but how to catch this metamask error? try and catch outside ethereum.on gives nothing
Thanks!
write a mapping for metamask networks:
const NETWORKS = {
1: "Ethereum Main Network",
3: "Ropsten Test Network",
4: "Rinkeby Test Network",
5: "Goerli Test Network",
42: "Kovan Test Network",
56: "Binance Smart Chain",
1337: "Ganache",
};
const getChainId= async () => {
const chainId = await web3.eth.getChainId();
// handle the error here
if (!chainId) {
throw new Error(
"Cannot retrieve an account. Please refresh the browser"
);
}
return NETWORKS[chainId];
}
);
The simplest approach seems for me it is to add chain first before switching and after successful adding Metamask will ask user to switch network to newly added here sample code to add BSC network:
export async function addBSCToMetamask() {
if (typeof window !== 'undefined') {
window.ethereum.request({
jsonrpc: '2.0',
method: 'wallet_addEthereumChain',
params: [
{
chainId: '0x38',
chainName: 'Binance Smart Chain Mainnet',
rpcUrls: ['https://bsc-dataseed.binance.org/'],
nativeCurrency: {
name: 'BNB',
symbol: 'BNB',
decimals: 18
},
blockExplorerUrls: ['https://bscscan.com']
}
],
id: 0
})
}
}
Following this documentation, when requesting a batchPredict I run into this error via API
{
"error": {
"code": 13
"message": "internal",
}
}
Additionally, here's a screenshot screenshot of the error I see when I try to use the "Test & Use" tab. Neither of which are descriptive, so I'm not sure where the error lies.
In the request, I include the path to my CSV file in the Google Storage, which links to a video in the same bucket. Here's the contents of the CSV:
gs://XXXXXXXXXXXX/movie1.mov,0,inf
gs://XXXXXXXXXXXX/movie2.mov,0,inf
I also include the path to a /Results folder (in the same bucket) to save the predictions.
Code making the call:
const client = new PredictionServiceClient();
async function batchPredict() {
const request = {
name: client.modelPath('project-id-xxxxxx', 'us-central1', 'VOTxxxxxxxxxx'),
inputConfig: {
gcsSource: {
inputUris: ['gs://XXXXXXXXXXXX/apitest.csv'],
},
},
outputConfig: {
gcsDestination: {
outputUriPrefix: 'gs://XXXXXXXXXXXX/results/',
},
},
};
Please let me know if I need to provide any more detail.
The possible root cause is one of those two:
There is an issue somewhere in your code. So, if your code is not the same as below, I suggest that you try it out (changing the appropriate variables of course).
There is something wrong with your model, which is the most probable root cause (as per the error message itself).
So, if it is not your code, you should create a private issue report on issue-tracker explaining your issue and giving as much details as possible on it as well as your use case and impact.
As it is private, only Googlers and you will have access to it so feel free to share your project and model IDs.
Here is what I did to try to reproduce your issue (be sure to follow the before you begin guide):
I have trained a model on gs://YOUR_BUCKET/TRAINING.csv
TRAIN,gs://automl-video-demo-data/traffic_videos/traffic_videos_train.csv
TEST,gs://automl-video-demo-data/traffic_videos/traffic_videos_test.csv
Predicted on a couple of images on gs://YOUR_BUCKET/VIDEOS_TO_ANNOTATE.csv (inputUri):
gs://automl-video-demo-data/traffic_videos/highway_078.mp4, 0,inf
gs://automl-video-demo-data/traffic_videos/highway_079.mp4,10.00000,15.50000
using the Node.js predict example from the tutorial:
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
const projectId = 'YOUR_PROJECT';
const location = 'us-central1';
const modelId = 'VOTXXXXXXXXXXXXXXXXXX';
const inputUri = 'gs://YOUR_BUCKET/VIDEOS_TO_ANNOTATE.csv';
const outputUri = 'gs://YOUR_BUCKET/outputs/';
// Imports the Google Cloud AutoML library
const {PredictionServiceClient} = require('#google-cloud/automl').v1beta1;
// Instantiates a client
const client = new PredictionServiceClient();
async function batchPredict() {
// Construct request
const request = {
name: client.modelPath(projectId, location, modelId),
inputConfig: {
gcsSource: {
inputUris: [inputUri],
},
},
outputConfig: {
gcsDestination: {
outputUriPrefix: outputUri,
},
},
};
const [operation] = await client.batchPredict(request);
console.log('Waiting for operation to complete...');
// Wait for operation to complete.
const [response] = await operation.promise();
console.log(
`Batch Prediction results saved to Cloud Storage bucket. ${response}`
);
}
batchPredict();
Note that I have also tried the REST & CMD LINE predict example.
And in both cases, it worked well and I received a correct response:
Nodejs prediction's response:
Waiting for operation to complete...
Batch Prediction results saved to Cloud Storage bucket. [object Object]
REST & CMD LINE prediction's response:
{
"name": "projects/XXXXXXXXXX/locations/us-central1/operations/VOTXXXXXXXXXXXXXXX",
"metadata": {
"#type": "type.googleapis.com/google.cloud.automl.v1beta1.OperationMetadata",
"createTime": "2021-04-16T08:09:52.102270Z",
"updateTime": "2021-04-16T08:09:52.102270Z",
"batchPredictDetails": {
"inputConfig": {
"gcsSource": {
"inputUris": [
"gs://MY_BUCKET/VIDEOS_TO_ANNOTATE.csv"
]
}
}
}
}
}
I am building a small weather API as exercise to use QML and properly operate an API call using OpenWeather and you can see there a typical API response.
The problem I am having is that I can't get the API call to work. After setting a minimal example with some cities that you can see below, right next to the city it should appear the symbol of the weather, but it does not happen. The list of the icon can be found here. Source code of the MVE can be found here for completeness.
The error from the compiler: qrc:/main.qml:282: SyntaxError: JSON.parse: Parse error
This is what is happening
This is what is expected
Typical API JSON response can be found both here and below:
{
"coord": {
"lon": -122.08,
"lat": 37.39
},
"weather": [
{
"id": 800,
"main": "Clear",
"description": "clear sky",
"icon": "01d"
}
],
"base": "stations",
"main": {
"temp": 282.55,
"feels_like": 281.86,
"temp_min": 280.37,
"temp_max": 284.26,
"pressure": 1023,
"humidity": 100
},
"visibility": 16093,
"wind": {
"speed": 1.5,
"deg": 350
},
"clouds": {
"all": 1
},
"dt": 1560350645,
"sys": {
"type": 1,
"id": 5122,
"message": 0.0139,
"country": "US",
"sunrise": 1560343627,
"sunset": 1560396563
},
"timezone": -25200,
"id": 420006353,
"name": "Mountain View",
"cod": 200
}
Below a snippet of code related to the API call:
main.qml
// Create the API getcondition to get JSON data of weather
function getCondition(location, index) {
var res
var url = "api.openweathermap.org/data/2.5/weather?id={city id}&appid={your api key}"
var doc = new XMLHttpRequest()
// parse JSON data and put code result into codeList
doc.onreadystatechange = function() {
if(doc.readyState === XMLHttpRequest.DONE) {
res = doc.responseText
// parse data
var obj = JSON.parse(res) // <-- Error Here
if(typeof(obj) == 'object') {
if(obj.hasOwnProperty('query')) {
var ch = onj.query.results.channel
var item = ch.item
codeList[index] = item.condition["code"]
}
}
}
}
doc.open('GET', url, true)
doc.send()
}
In order to solve this problem I consulted several sources, first of all : official documentation and the related function. I believe it is correctly set, but I added the reference for completeness.
Also I came across this one which explained how to simply apply XMLHttpRequest.
Also I dug more into the problem to find a solution and also consulted this one which also explained how to apply the JSON parsing function. But still something is not correct.
Thanks for pointing in the right direction for solving this problem.
Below the answer to my question. I was not reading properly the JSON file and after console logging the problem the solution is below. code was correct from beginning, only the response needed to be reviewed properly and in great detail being the JSON response a bit confusing:
function getCondition() {
var request = new XMLHttpRequest()
request.open('GET', 'http://api.openweathermap.org/data/2.5/weather?q=London&units=metric&appid=key', true);
request.onreadystatechange = function() {
if (request.readyState === XMLHttpRequest.DONE) {
if (request.status && request.status === 200) {
console.log("response", request.responseText)
var result = JSON.parse(request.responseText)
} else {
console.log("HTTP:", request.status, request.statusText)
}
}
}
request.send()
}
Hope that helps!
In your code, your url shows this: "api.openweathermap.org/data/2.5/weather?id={city id}&appid={your api key}". You need to replace {city id} and {your api key} with real values.
You can solve it by providing an actual city ID and API key in your request URL
As per requirement, I need to turn on device registration to Always. However, our SRP flow starts failing with the below issue.
{ code: 'UnknownError', message: 'Unknown error, the response body from fetch is: undefined' }
After doing some research, I found one similar post, but it seems like the only solution is to turn device registration off.
It's failing while running node get-token.js script to retrieve token for our CI/CD testing pipeline.
cognitoUser.authenticateUser(authCfg, {
onSuccess: function (result) {
console.log("Result : ", result);
const token = result.getAccessToken().getJwtToken();
resolve(token)
},
onFailure: function(err) {
console.error("Failure : ", err);
console.log(new Error().stack);
reject(new Error("An error occurred: " + err))
},
newPasswordRequired: function (userAttributes, requiredAttributes) {
cognitoUser.completeNewPasswordChallenge(p, userAttributes, this);
},
});
Seems like I missed the point mentioned in this post . Adding the below code works.
const WindowMock = require('window-mock');
global.window = {localStorage: WindowMock.localStorage};
global.navigator = () => null;
I am relatively new to AWS and Alexa skills. I am building a simple custom skill that gives you a dressing advice depending on the weather.
I have 2 custom intents : dressingTodayIntent & dressingTomorrowIntent. In the Service Simulator of the developer portal, my two intents don't work, I do get a lambda response though, but with an undefined outputSpeech, like this:
{
"version": "1.0",
"response": {
"outputSpeech": {
"type": "SSML",
"ssml": "<speak> undefined </speak>"
},
"card": null,
"reprompt": null,
"speechletResponse": {
"outputSpeech": {
"id": null,
"ssml": "<speak> undefined </speak>"
},
"card": null,
"directives": null,
"reprompt": null,
"shouldEndSession": true
}
},
"sessionAttributes": {}
}
Could it be a scope issue in my intent code?
'DressingTodayIntent': function() {
var dressingAdvice;
var speechOutput = getJSON('https://api.darksky.net/forecast/9e0495a835ed823a705a9a567eee982a/48.861317,2.348764?units=si&exclude=currently,minutely,hourly,alerts,flags',
function(err, forecast) {
if (err) {
console.log('Error occurred while trying to retrieve weather data', err);
} else {
dressingAdvice = getDressingAdvice(forecast, true);
console.log("one " + dressingAdvice);
}
console.log("two " + dressingAdvice);
return dressingAdvice;
});
console.log("three " + speechOutput);
this.response.cardRenderer("Your dressing advice for today:", speechOutput);
this.response.speak(speechOutput);
this.emit(':responseReady');
},
In AWS Lambda, I see a correct output for the first 2 logs, and an error for the 3rd one:
first log: "one " + dressingAdvice, as expected
second log: "two " + dressingAdvice, as expected
third log: "three " + undefined
Thank you for you help!
When you say "tested from AWS Lambda", I assume that you mean using the AWS console to send a JSON test message to the Lambda, then looking at the response JSON to determine if it is correct?
If so, make sure that it matches the JSON sent to/from the Alexa test page in the dev portal. Sounds like they might be different.
Also, make sure that you are linked to the correct ARN in the Alexa skill.
The undefined is likely a variable scope issue in the code.
I noticed in your response that you don't have any sessionAttributes. Is your code setting or pulling the value for the response from a session value? If so, the values need to be sent back with the sessionAttributes.
I figured out what was wrong, I needed to move the response code into the callback function, like this:
'DressingTodayIntent': function() {
var speechOutput;
var self = this;
var dressingAdvice = getJSON('https://api.darksky.net/forecast/9e0495a835ed823a705a9a567eee982a/48.861317,2.348764?units=si!ude=currently,minutely,hourly,alerts,flags',
function(err, forecast) {
if (err) {
console.log('Error occurred while trying to retrieve weather data', err);
} else {
speechOutput = getDressingAdvice(forecast, true);
}
self.response.cardRenderer("Your dressing advice for today:", speechOutput);
self.response.speak(speechOutput);
self.emit(':responseReady');
});
},