I'm trying to store my encrypted string on nft.storage but I'm getting error that ,
Uncaught (in promise) TypeError: source is not async iterable
at last (index.js:13:1)
at pack (index.js:14:1)
at packCar (lib.js:757:1)
at NFTStorage.encodeBlob (lib.js:472:1)
at NFTStorage.storeBlob (lib.js:151:1)
at NFTStorage.storeBlob (lib.js:542:1)
at storeAsset (Results.jsx:41:1)
at encryptingData (Results.jsx:71:1)
what i had tried is,
const metadata = JSON.stringify(encryptedString);
storeAsset(metadata);
async function storeAsset(metadata) {
const cid= await client.storeBlob(new Blob([metadata]));
console.log(cid);
}
import { Web3Storage } from "web3.storage";
const token = process.env.NEXT_PUBLIC_TOKEN;
function makeStorageClient() {
return new Web3Storage({ token });
}
function makeFileObjects(text) {
const obj = { email: text };
const blob = new Blob([JSON.stringify(obj)], { type: "application/json" });
const files = [new File([blob], "email.json")];
return files;
}
For Nft.storage here are the docs: https://nft.storage/docs/client/js/
const { NFTStorage, File, Blob } = require("nft.storage");
const token = process.env.IPFS;
const client = new NFTStorage({ token });
const blob = new Blob([json], { type: "application/json" });
const cid = await client.storeBlob(blob);
console.log(cid);
How to convert the below JAVA code to apps script?
I want the quote to be pulled into my sheet
Ticker symbol is in A2
I want the price in B2
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://rest.yahoofinanceapi.com/v6/finance/quote/AAPL"))
.header("x-api-key", "YOUR-PERSONAL-API-KEY")
.method("GET", HttpRequest.BodyPublishers.noBody())
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
try the following script
const YOUR_PERSONAL_API_KEY = '... Your API KEY ...';
function fetch_yfapi(ticker_symbol){
let urlToFetch = `https://yfapi.net/v6/finance/quote?region=US&lang=en&symbols=${ticker_symbol}`,
options = {
method: 'get',
headers: {
'accept' : 'application/json',
'X-API-KEY' : YOUR_PERSONAL_API_KEY, },
muteHttpExceptions: true
},
fetched = {
code: null,
body: null,
}
try{
const response = UrlFetchApp.fetch(urlToFetch, options);
fetched.code = response.getResponseCode();
fetched.body = response.getContentText();
if (fetched.code !== 200) {
console.log(Utilities.formatString("Request failed. Expected 200, got %d: %s", fetched.code, fetched.body))
}
} catch(e) {
console.log('Method call error UrlFetchApp.fetch : %s',e)
}
return fetched.body
}
function getTickerData(){
let sheet = SpreadsheetApp.getActive().getSheetByName('... sheet name ...'),
ticker_symbol = sheet.getRange('A2').getValue();
if (ticker_symbol.length) {
let ticker_data = fetch_yfapi(ticker_symbol);
if (ticker_data) {
console.log(ticker_data);
sheet.getRange('B2').setValue(JSON.parse(ticker_data).quoteResponse.result[0].ask)
}
}
}
I didn't know exactly what price you wanted to get in the end - so I put 'ask'. In the console you can see the whole body of the returned response
I have created a url scraper function, working and tested on Google Cloud, but I am really drawing a blank on how to invoke it. I have tried two methods, one using the cloud_functions package, and the other using a standard HTTPS get. I've tried looking online, but none of the solutions/guides involve functions with an input from the Flutter app, and an output back to the app.
Here's the structure of the function (which is working alright). I've named this function Parse in Google Cloud Platform.
<PYTHON PACKAGE IMPORTS>
def Parser(url):
<URL PARSE FUNCTIONS>
return source, datetime, imageurl, keyword
def invoke_parse(request):
request_json = request.get_json(silent=True)
file = Parser(request_json['url'])
return jsonify({
"source": file[0],
"datetime": file[1],
"imageurl": file[2],
"keyword": file[3],
})
The first method I tried was using an HTTP CALL to get the function. But that isn't working, even though there are no errors - I suspect it's just returning nothing.
parser(String url) async{ // Here I honestly don't know where to use the url input within the function
var uri = Uri.parse(<Function URL String>);
HttpClient client;
try {
var request = await client.getUrl(uri);
var response = await request.close();
if (response.statusCode == HttpStatus.ok) {
var json = await response.transform(utf8.decoder).join();
Map data = jsonDecode(json) as Map;
source = data['source']; // These are the variables used in the main Flutter app
postedAt = data['datetime'];
_imageUrl = data['image'];
keyword = data['keyword'];
} else {
print('Error running parse:\nHttp status ${response.statusCode}');
}
} catch (exception) {
print('Failed invoking the parse function.');
}
}
That didn't work, so I thought I might alternatively use the cloud_functions package as follows (in lieu of the previous):
parser(String url) async {
var functionUrl = <FUNCTION URL>;
HttpsCallable callable = CloudFunctions.instance.getHttpsCallable(functionName: 'Parse')
..timeout = const Duration(seconds: 30);
try {
final HttpsCallableResult result = await callable.call(
<String, dynamic>{
'url': url,
}
);
setState(() {
source = result.data['source']; //THESE ARE VARIABLES USED IN THE FLUTTER APP
postedAt = result.data['datetime'];
_imageUrl = result.data['image'];
keyword = result.data['keyword'];
});
}
on CloudFunctionsException catch (e) {
print('caught firebase functions exception');
print(e.code);
print(e.message);
print(e.details);
} catch (e) {
print('caught generic exception');
print(e);
}
}
In the latter case, the code ran without errors but doesn't work. My flutter log states the following error:
I/flutter ( 2821): caught generic exception
I/flutter ( 2821): PlatformException(functionsError, Cloud function failed with exception., {code: NOT_FOUND, details: null, message: NOT_FOUND})
which I'm assuming is also an error at not being able to read the function.
Any help on how I should go about processing my function would be appreciated. Apologies if something is a really obvious solution, but I am not familiar as much with HTTP requests and cloud platforms.
Thanks and cheers.
Node Js Backend Function
const functions = require("firebase-functions");
const admin = require("firebase-admin");
admin.initializeApp();
exports.test = functions.https.onCall(async (data, context) => {
functions.logger.info("Hello logs: ", {structuredData: true});
functions.logger.info( data.token, {structuredData: true});
}
Flutter frontend
1- pubspec.yaml
cloud_functions: ^1.1.2
2 - Code
HttpsCallable callable = FirebaseFunctions.instance.httpsCallable('test');
final HttpsCallableResult results = await callable.call<Map>( {
'token': token,
});
function getData(request){
try{
var options = {
'method' : 'post',
'contentType': 'application/json',
'payload' : JSON.stringify(request)
};
response=UrlFetchApp.fetch(getDataUrl, options);
resData = JSON.parse(response.getContentText())
return resData
}catch (e) {
e = (typeof e === 'string') ? new Error(e) : e;
Logger.log("Catch", e);
throw e;
}
}
The the above is my getData() function.
My isAdminUser() returns true.
When I try to visualize my data, I get the following error
Data Set Configuration Error
Data Studio cannot connect to your data set.
There was an error requesting data from the community connector. Please report the issue to the provider of this community connector if this issue persists.
Error ID: 3d11b88b
https://i.stack.imgur.com/x3Hki.png
The error code changes every time I refresh data and I can't find any dictionary to map the error id to an error
I tried debugging by logging the request parameter, response.getContentText() and resData variable to make sure I my data is formatted correctly.
Following are the logs printed in Stackdriver logs
request
{configParams={/Personal config data/}, fields=[{name=LASTNAME}]}
response.getContentText()
{"schema":[{"name":"LASTNAME","dataType":"STRING"}],"rows":[{"values":["test"]},{"values":["test"]},{"values":["Dummy"]},{"values":["One"]},{"values":["Nagargoje"]},{"values":[""]},{"values":[""]},{"values":[""]},{"values":[""]},{"values":[""]}],"filtersApplied":false}
resData
{rows=[{values=[test]}, {values=[test]}, {values=[Dummy]},
{values=[One]}, {values=[Nagargoje]}, {values=[]}, {values=[]},
{values=[]}, {values=[]}, {values=[]}], filtersApplied=false,
schema=[{name=LASTNAME, dataType=STRING}]}
I am not sure what is wrong with my getData() function.
The Object that I am returning seems to match the structure given here https://developers.google.com/datastudio/connector/reference#getdata
So there was no issue with my getData() function, the issue existed in the manifest file.
I was searching about passing parameter via URL and I stumbled upon a field called
dataStudio.useQueryConfig and added that to my manifest file and set its value to true.
Google Data studio was expecting me to return a query Config for getData().
But what I really wanted was this.
Anyways, I was able to debug it thanks to Matthias for suggesting me to take a look at Open-Source implementations
I implemented JSON connect which worked fine, so I Logged what it was returning in getData() and used that format/structure in my code, but my connector still didn't work.
My next assumption was maybe there is something wrong with my getSchema() return value. So I logged that as well and then copy pasted the hard coded value of both getData() and getSchema() return varaibles from JSON connect.
And even that didn't work, so my last bet was there must be something wrong with the manifest file, maybe the dummy links I added in it must be the issue. Then, after carrying out field by comparison I was finally able to get my community connector working.
This would have been easier to debug if the error messages were a bit helpful and didn't seem so generic.
First: You can always check out the Open-Source implementations that others did for custom Google Data Studio connectors. They are a great source if information. Fore more information checkout the documentation on Open Source Community Connectors.
Second: My implementation is for a time tracking system thus having confidential GDPR relevant data. That's why I can not just give you response messages. But I assembled this code. It contains authentifiction, HTTP GET data fetch and data conversions. Explanation is below the code. Again, checkout the open-source connectors if you need further assistance.
var cc = DataStudioApp.createCommunityConnector();
const URL_DATA = 'https://www.myverysecretdomain.com/api';
const URL_PING = 'https://www.myverysecretdomain.com/ping';
const AUTH_USER = 'auth.user'
const AUTH_KEY = 'auth.key';
const JSON_TAG = 'user';
String.prototype.format = function() {
// https://coderwall.com/p/flonoa/simple-string-format-in-javascript
a = this;
for (k in arguments) {
a = a.replace("{" + k + "}", arguments[k])
}
return a
}
function httpGet(user, token, url, params) {
try {
// this depends on the URL you are connecting to
var headers = {
'ApiUser': user,
'ApiToken': token,
'User-Agent': 'my super freaky Google Data Studio connector'
};
var options = {
headers: headers
};
if (params && Object.keys(params).length > 0) {
var params_ = [];
for (const [key, value] of Object.entries(params)) {
var value_ = value;
if (Array.isArray(value))
value_ = value.join(',');
params_.push('{0}={1}'.format(key, encodeURIComponent(value_)))
}
var query = params_.join('&');
url = '{0}?{1}'.format(url, query);
}
var response = UrlFetchApp.fetch(url, options);
return {
code: response.getResponseCode(),
json: JSON.parse(response.getContentText())
}
} catch (e) {
throwConnectorError(e);
}
}
function getCredentials() {
var userProperties = PropertiesService.getUserProperties();
return {
username: userProperties.getProperty(AUTH_USER),
token: userProperties.getProperty(AUTH_KEY)
}
}
function validateCredentials(user, token) {
if (!user || !token)
return false;
var response = httpGet(user, token, URL_PING);
if (response.code == 200)
console.log('API key for the user %s successfully validated', user);
else
console.error('API key for the user %s is invalid. Code: %s', user, response.code);
return response;
}
function getAuthType() {
var cc = DataStudioApp.createCommunityConnector();
return cc.newAuthTypeResponse()
.setAuthType(cc.AuthType.USER_TOKEN)
.setHelpUrl('https://www.myverysecretdomain.com/index.html#authentication')
.build();
}
function resetAuth() {
var userProperties = PropertiesService.getUserProperties();
userProperties.deleteProperty(AUTH_USER);
userProperties.deleteProperty(AUTH_KEY);
console.info('Credentials have been reset.');
}
function isAuthValid() {
var credentials = getCredentials()
if (credentials == null) {
console.info('No credentials found.');
return false;
}
var response = validateCredentials(credentials.username, credentials.token);
return (response != null && response.code == 200);
}
function setCredentials(request) {
var credentials = request.userToken;
var response = validateCredentials(credentials.username, credentials.token);
if (response == null || response.code != 200) return { errorCode: 'INVALID_CREDENTIALS' };
var userProperties = PropertiesService.getUserProperties();
userProperties.setProperty(AUTH_USER, credentials.username);
userProperties.setProperty(AUTH_KEY, credentials.token);
console.info('Credentials have been stored');
return {
errorCode: 'NONE'
};
}
function throwConnectorError(text) {
DataStudioApp.createCommunityConnector()
.newUserError()
.setDebugText(text)
.setText(text)
.throwException();
}
function getConfig(request) {
// ToDo: handle request.languageCode for different languages being displayed
console.log(request)
var params = request.configParams;
var config = cc.getConfig();
// ToDo: add your config if necessary
config.setDateRangeRequired(true);
return config.build();
}
function getDimensions() {
var types = cc.FieldType;
return [
{
id:'id',
name:'ID',
type:types.NUMBER
},
{
id:'name',
name:'Name',
isDefault:true,
type:types.TEXT
},
{
id:'email',
name:'Email',
type:types.TEXT
}
];
}
function getMetrics() {
return [];
}
function getFields(request) {
Logger.log(request)
var fields = cc.getFields();
var dimensions = this.getDimensions();
var metrics = this.getMetrics();
dimensions.forEach(dimension => fields.newDimension().setId(dimension.id).setName(dimension.name).setType(dimension.type));
metrics.forEach(metric => fields.newMetric().setId(metric.id).setName(metric.name).setType(metric.type).setAggregation(metric.aggregations));
var defaultDimension = dimensions.find(field => field.hasOwnProperty('isDefault') && field.isDefault == true);
var defaultMetric = metrics.find(field => field.hasOwnProperty('isDefault') && field.isDefault == true);
if (defaultDimension)
fields.setDefaultDimension(defaultDimension.id);
if (defaultMetric)
fields.setDefaultMetric(defaultMetric.id);
return fields;
}
function getSchema(request) {
var fields = getFields(request).build();
return { schema: fields };
}
function convertValue(value, id) {
// ToDo: add special conversion if necessary
switch(id) {
default:
// value will be converted automatically
return value[id];
}
}
function entriesToDicts(schema, data, converter, tag) {
return data.map(function(element) {
var entry = element[tag];
var row = {};
schema.forEach(function(field) {
// field has same name in connector and original data source
var id = field.id;
var value = converter(entry, id);
// use UI field ID
row[field.id] = value;
});
return row;
});
}
function dictsToRows(requestedFields, rows) {
return rows.reduce((result, row) => ([...result, {'values': requestedFields.reduce((values, field) => ([...values, row[field]]), [])}]), []);
}
function getParams (request) {
var schema = this.getSchema();
var params;
if (request) {
params = {};
// ToDo: handle pagination={startRow=1.0, rowCount=100.0}
} else {
// preview only
params = {
limit: 20
}
}
return params;
}
function getData(request) {
Logger.log(request)
var credentials = getCredentials()
var schema = getSchema();
var params = getParams(request);
var requestedFields; // fields structured as I want them (see above)
var requestedSchema; // fields structured as Google expects them
if (request) {
// make sure the ordering of the requested fields is kept correct in the resulting data
requestedFields = request.fields.filter(field => !field.forFilterOnly).map(field => field.name);
requestedSchema = getFields(request).forIds(requestedFields);
} else {
// use all fields from schema
requestedFields = schema.map(field => field.id);
requestedSchema = api.getFields(request);
}
var filterPresent = request && request.dimensionsFilters;
//var filter = ...
if (filterPresent) {
// ToDo: apply request filters on API level (before the API call) to minimize data retrieval from API (number of rows) and increase speed
// see https://developers.google.com/datastudio/connector/filters
// filter = ... // initialize filter
// filter.preFilter(params); // low-level API filtering if possible
}
// get HTTP response; e.g. check for HTTT RETURN CODE on response.code if necessary
var response = httpGet(credentials.username, credentials.token, URL_DATA, params);
// get JSON data from HTTP response
var data = response.json;
// convert the full dataset including all fields (the full schema). non-requested fields will be filtered later on
var rows = entriesToDicts(schema, data, convertValue, JSON_TAG);
// match rows against filter (high-level filtering)
//if (filter)
// rows = rows.filter(row => filter.match(row) == true);
// remove non-requested fields
var result = dictsToRows(requestedFields, rows);
console.log('{0} rows received'.format(result.length));
//console.log(result);
return {
schema: requestedSchema.build(),
rows: result,
filtersApplied: filter ? true : false
};
}
A sample request that filters for all users with names starting with J.
{
configParams={},
dateRange={
endDate=2020-05-14,
startDate=2020-04-17
},
fields=[
{name=name}
],
scriptParams={
lastRefresh=1589543208040
},
dimensionsFilters=[
[
{
values=[^J.*],
operator=REGEXP_EXACT_MATCH,
type=INCLUDE,
fieldName=name
}
]
]
}
The JSON data returned by the HTTP GET contains all fields (full schema).
[ { user:
{ id: 1,
name: 'Jane Doe',
email: 'jane#doe.com' } },
{ user:
{ id: 2,
name: 'John Doe',
email: 'john#doe.com' } }
]
Once the data is filtered and converted/transformed, you'll get this result, which is perfectly displayed by Google Data Studio:
{
filtersApplied=true,
schema=[
{
isDefault=true,
semantics={
semanticType=TEXT,
conceptType=DIMENSION
},
label=Name,
name=name,
dataType=STRING
}
],
rows=[
{values=[Jane Doe]},
{values=[John Doe]}
]
}
getData should return data for only the requested fields. In request.fields should have the list of all requested fields. Limit your data for those fields only and then send the parsed data back.
I am using NodeJS request module to pass a JSON request to a URL and generate a JSON response from it. I tried this code and it generates a valid response. I am pasting the link for a StackOverflow question I asked for the same.
NodeJS Request returning an empty array inside a JSON response
However, when I utilize the same logic in AWS Lambda, there is no response at all from the module. Since there is no response at all, I cannot understand what the problem is.
This is the handling function for the AWS Lambda with Alexa as a trigger.
'use strict';
var request = require('request');
var accountNumberRequest = {};
var balanceResponse = {};
const url = "https://ibluatapig.indusind.com/app/uat/balinq/AccountEnquiry?client_id=6867b781-9b21-45c5-9c55-948f7cd1a33f&client_secret=hP3yB3hM2oH4pH4hM1kV3uY8vR3qV7jY8cF6bG2sF5jX8lT1vN";
var bal = {};
exports.handler = function (event,context) {
try{
console.log("Try Started");
var req = event.request;
console.log("Request Generated");
if(req.type === "LaunchRequest") {
console.log("Launch Request! Calling handleLaunchRequest");
handleLaunchRequest(context);
} else if(req.type === "IntentRequest") {
console.log("IntentRequest");
let options = {};
console.log(0);
if(req.intent.name === "BalanceIntent") {
console.log("Balance Intent");
//Got the account number from Alexa request
let accNo = req.intent.slots.AccountNumber.value;
console.log(accNo);
accountNumberRequest = {
"AERequest":{
"serviceType":"BE",
"deviceId":"Test",
"accountId":accNo
}
};
console.log(accountNumberRequest);
console.log("Calling NodeJS.Request");
request({
url: url,
method: "POST",
json: true,
header: {
"content-type": "application/json",
},
body: accountNumberRequest
},
function(error, response,body){
if(!error && response.statusCode === 200){
console.log(body.AEResponse.AcctBal[1].BalAmt);
} else {
//options.speechText = `The account <say-as interepret-as = "digits">${accNo}</say-as> does not exist`;
console.log("error: "+error);
console.log("response.statusCode"+response.statusCode);
console.log("response.statusText"+response.statusText);
}
}
);
console.log("Balance Response should be assigned by now");
console.log(bal);
/* if(accountNumbers.hasOwnProperty(accNo)) {
var balance = accountNumbers[accNo];
accountExists = true;
}
if(accountExists == true){
options.speechText = `The balance of account number <say-as interpret-as = "digits">${accNo}</say-as> is <say-as interpret-as = "cardinal">${balance}</say-as>`;
} else {
options.speechText = `The account <say-as interepret-as = "digits">${accNo}</say-as> does not exist`;
}*/
context.succeed(buildResponse(options));
}
} else if(req.type === "SessionEndedRequest") {
//Code here
} else {
throw("Unknown Intent Type");
}
} catch(e){
context.fail("Exception "+e);
}
};
function getBalance(){
//Code to parse the JSON response and extract values from the response.
}
function handleLaunchRequest(context){
//Code for handling launch requests }
function buildResponse(options){
//Code for generating response
}
This is the problem...
// You're sending an asynchronous HTTP request here.
request();
// But you sent the response here without waiting for the above request to finish.
context.succeed();
Basically, you're executing context.succeed() before request() finishes. So you're basically ending your Lambda invocation without the response from that HTTP request.
To fix your code, put the context.succeed() inside the callback that you pass to the request() call.
P.S.
You should be using callback instead of the deprecated context.succeed()/context.fail() API.