seneca | A microservices toolkit for Nodejs | Runtime Evironment library
kandi X-RAY | seneca Summary
kandi X-RAY | seneca Summary
Seneca is a toolkit for writing microservices and organizing the business logic of your app. You can break down your app into "stuff that happens", rather than focusing on data models or managing dependencies. Use this module to define commands that work by taking in some JSON, and, optionally, returning some JSON. The command to run is selected by pattern-matching on the the input JSON. There are built-in and optional sets of commands that help you build Minimum Viable Products: data storage, user management, distributed logic, caching, logging, etc. And you can define your own product by breaking it into a set of commands - "stuff that happens". That's pretty much it.
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seneca Examples and Code Snippets
,"pagi"===b?a:"siang"===b?a>=11?a:a+12:"sore"===b||"malam"===b?a+12:void 0},meridiem:function(a){return 11>a?"pagi":15>a?"siang":19>a?"sore":"malam"},calendar:{sameDay:
Community Discussions
Trending Discussions on seneca
QUESTION
Problem explained more clearly here: I am creating a simple random quote generator using JavaScript. I have hundreds of quotes in an array in a file called "quotes.js" and then the actual function to make it work in a file called "script.js" which are both linked to an "index.html" page. I'm getting the error in my "script.js" page which is supposed to allow a random quote get fetched from the array in quotes.js and display that random quote on the screen with each refresh of the page (you would see the quote in the console and not the actual page yet). Can someone explain to me why I'm getting this error and how to define the variable localQuotes?
This is the error I get in the Developers Tools Console tab in Chrome:
Uncaught ReferenceError: localQuotes is not defined at newQuote (script.js:3) at script.js:7 newQuote @ script.js:3 (anonymous) @ script.js:7
Here is my code from script.js:
...ANSWER
Answered 2021-Nov-18 at 07:24Your quotes.js will need to give global access to the variable for it to work. This is how you should do it:
QUESTION
I'm trying to implement an event time temporal join in Flink. Here's the first join table:
...ANSWER
Answered 2021-Oct-01 at 14:31Temporal joins using the AS OF syntax you're using require:
- an append-only table with a valid event-time attribute
- an updating table with a primary key and a valid event-time attribute
- an equality predicate on the primary key
When Flink SQL's temporal operators are applied to event time streams, watermarks play a critical role in determining when results are produced, and when the state is cleared.
When performing a temporal join:
- rows from the append-only table are buffered in Flink state until the current watermark of the join operator reaches their timestamps
- for the versioned table, for each key the latest version whose timestamp precedes the join operator's current watermark is kept in state, plus any versions from after the current watermark
- whenever the join operator's watermark advances, new results are produced, and state that's no longer relevant is cleared
The join operator tracks the watermarks it receives from its input channels, and its current watermark is always the minimum of these two watermarks. This is why your join stalls, and only makes progress when the flow_rate is updated.
One way to fix this would be to set the watermark for the TransportNetworkEdge_Kafka table like this:
QUESTION
I'm experimenting with Apache Flink for a project. I'm using Flink to aggregate environment data captured by a series of sensors. In order to calculate an air quality index I'm trying to implement a custom aggregate function to use in the grouped select with a window, but I have a problem with type hint. Here's the function code with the DataTypeHint annotation:
...ANSWER
Answered 2021-Sep-29 at 16:46The string version of a data type hint only works with SQL types. For POJOs and other classes, you can use @DataTypeHint(bridgedTo = AQIAccumulator.class)
.
Alternatively, you can simply override getTypeInference
and provide all components programmatically.
But for your example Flink should be smart enough to derive all types automatically using reflection. No hints required.
QUESTION
I'm beginning to try Apache Flink and I'm trying to aggregate some values ingested from a kafka topic. Here's the code I'm using:
...ANSWER
Answered 2021-Aug-13 at 16:30I think you need to either group by the area or compute some aggregation over the areas included in the given sensor and window.
QUESTION
In the snippet below, [1] seems to yield the expected result whereas, [2] throws a ClassCastException as shown in the results below.
Why is a ClassCastException thrown when calling iterator() and not when using method reference?
...ANSWER
Answered 2021-Jun-01 at 11:40They are two different things.
philosophers::iterator
is a function which when invoked, takes 0 arguments and returns an Iterator. As it happens, this is compatible with the definition of Iterable, since that interface has a single abstract method which does just that.
philosophers.iterator()
does not return a function; it returns an Iterator. An Iterator is not an Iterable so the cast fails.
It is worth nothing that there's no good reason to do either of these. The first is basically only working by accident. That's a very unintuitive way to use a method reference. Just do
QUESTION
I am new to R and Shiny so please forgive my ignorance. I have a large data set (184,171 observations and 10 variables) as a tibble. I am trying to create a Shiny app that uses this data table. The user selects a gauge, then a variable to analyze, a range of years, and then whether they want the variable aggregated annually or monthly. Based on the inputs, it will create 3 plots and a location map for the selected gauge, along with summary statistics. I have no problems when running my user interface portion. I know the problems lie in my server. I want to know if I am using the reactive Values() and observe Event correctly.
The original data set is shinydata and I am trying to make a reactive data table that filters based on user inputs. My errors include:
Displays in the leaflet output box no applicable method for metaData applied to an object of class reactive Expr, reactive, function
Displays in the summary stats box data must be 2-dimensional (e.g. data frame or matrix) -> This I know is because I need to use a text output instead of data table for the summary stats
Displays in the box and time series plot outputs object annual1 not found
I have been struggling with this for 3 days and searching the web for answers. Any insight would be greatly appreciated!
...ANSWER
Answered 2020-Nov-27 at 18:43Below is a working version to adapt further for your needs. One overall recommendation is to start with a small working example before adding in more components/complexity.
Some of your errors came from how the data was being filtered. For example, you have:
QUESTION
I am trying to plot 4 subplots that break a large data frame into smaller slices so that the bar chart isn't too overwhelming and unreadable. I have broken the slices apart and assigned them each to individual data frames. The Dataframe that I am working with looks like this (this dataframe is the unstack output from a multi index data frame (df.unstack()):
...ANSWER
Answered 2020-Jul-18 at 15:58To plot a pandas.DataFrame on a matplotlib subplot you need to:
- Store the axis returned by
plt.subplot()
call to a variable that you can then - Pass this axis to
pandas.DataFrame.plot()
call
Like:
QUESTION
I want to create a graph using neo4j which gives me a graph of the terms in the "JavaScript" array of the following JSON data, along with relationships pointing to unique "relatedTerms" nodes.
Here is my JSON data:
...ANSWER
Answered 2020-Jan-29 at 04:57Try switching the CREATE statements for MERGE statements. In Cypher, MERGE will check to see if a pattern exists and create it if it does not. CREATE will create a new pattern every time, even if a pattern like it already exists in the graph.
QUESTION
I am trying to upload multiple web files to a storage bucket using python. I have a service account set up to enable the credentials and so it should be working. However, every time I try to run this code I receive this error:
Forbidden: 403 GET https://storage.googleapis.com/storage/v1/b/voterfile-oh?projection=noAcl: xxx@yyy.zzz.com does not have storage.buckets.get access to voterfile-oh.
Can I receive help on this issue? I was not able to gather any helpful information from this question nor did the questioner receive an answer that resolved the issue.
...ANSWER
Answered 2020-Jan-15 at 16:56I have been able to reproduce your issue, here are the steps I have followed:
- Created a service account and assign Storage Object Creator permission.
- Ran
gcloud iam service-accounts keys create [FILE_NAME].json --iam-account [NAME]@[PROJECT_ID].iam.gserviceaccount.com
to get account credentials file. - Erased lines 7 to 9 of your script and changed the filename of line 11 to match the name of the downloaded credentials file.
- Ran the script. Here I get the same error as you.
The reason behind this error is that on line 14 you're getting your bucket object through get_bucket
method. This method queries cloud Storage, requiring get permissions on your bucket but the Storage Object Creator role does not include get permissions.
To solve your issue just change line 14 with this code bucket = client.bucket(bucket_name)
which directly creates a bucket object without interacting with Cloud Storage and therefore it does not raise the permission error, see corresponding reference.
Another solution might be to change the service account role to Storage Object Admin because it includes get permissions.
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