astronomer | detect illegitimate stars from bot accounts | Runtime Evironment library
kandi X-RAY | astronomer Summary
kandi X-RAY | astronomer Summary
Astronomer is a tool that fetches data from every GitHub user who starred a common repository and computes how likely it is that those users are real humans. The goal of Astronomer is to detect illegitimate GitHub stars from bot accounts, which could be used to artificially increase the popularity of an open source project. It comes together with Astrolab, a server which collects trust reports generated by Astronomer, and generates GitHub badges to let you prove your community's authenticity.
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Trending Discussions on astronomer
QUESTION
I have a problem with React and Typescript and it will be nice if I get some help from you guys!
I'm trying to assign an onclick event to my child box component but it isn't working, it doesn't trigger any error, just plainly doesn't work.
This his is the parent:
...ANSWER
Answered 2021-Jun-06 at 09:41onClick={() => this.changeActive} is wrong.
Use onClick={this.changeActive} or onClick={() => this.changeActive()}
QUESTION
I am a newbie as far as both Airflow and Docker are concerned; to make things more complicated, I use Astronomer, and to make things worse, I run Airflow on Windows. (Not on a Unix subsystem - could not install Docker on Ubuntu 20.4). "astro dev start" breaks with an error, but in Docker Desktop I see, and can start, 3 Airflow-related containers. They see my DAGs just fine, but my DAGs don't see the local file system. Is thus unavoidable with the Airflow + Docker combo? (Seems like a big handicap; one can only use a file in the cloud).
...ANSWER
Answered 2021-May-19 at 09:31In general, you can declare a volume at image runtime in Docker using the -v switch with your docker run command to mount a local folder on your host to a mount point in your container, and you can access that point from inside the container.
If you go on to use docker-compose up to orchestrate your containers, you can specify volumes in the docker-compose.yml file for your containers which configures the volumes for the containers that run.
In your case, the Astronomer docs here suggest it is possible to create a custom directive in the Astronomer docker-compose.override.yml file to mount the volumes in the Airflow containers created as part of your astro commands for your stack which should then be visible from your DAGs.
QUESTION
I am trying to split by date and event columns. It is impossible to search for ". " some lines contain multiple sentences ending with ". " Also, some lines don't start with dates. The idea of the script was to use a regexp to find lines starting with the fragment "one or two numbers, space, letters, period, space" and then replace "point, space" with a rare character, for example, "@". If the line does not start with this fragment, then add "@" to the beginning. Then this array can be easily divided into two parts by this symbol ("@") and written to the sheet.
Unfortunately, something went wrong today. I came across the fact that match(re) is always null. I ask for help in composing the correct regular expression and solving the problem.
Original text:
1 June. Astronomers report narrowing down the source of Fast Radio Bursts (FRBs). It may now plausibly include "compact-object mergers and magnetars arising from normal core collapse supernovae".[3][4]
The existence of quark cores in neutron stars is confirmed by Finnish researchers.[5][6][7]
3 June. Researchers show that compared to rural populations urban red foxes (pictured) in London are mirroring patterns of domestication similar to domesticated dogs, as they adapt to their city environment.[21]
The discovery of the oldest and largest structure in the Maya region, a 3,000-year-old pyramid-topped platform Aguada Fénix, with LiDAR technology is reported.
17 June. Physicists at the XENON dark matter research facility report an excess of 53 events, which may hint at the existence of hypothetical Solar axions.
Desired result:
Code:
...ANSWER
Answered 2021-Apr-25 at 14:59function breakapart() {
const ms = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']
const ss = SpreadsheetApp.getActive();
const sh = ss.getSheetByName('Sheet1');//Data Sheet
const osh = ss.getSheetByName('Sheet2');//Output Sheet
osh.clearContents();
const vs = sh.getRange(1, 1, sh.getLastRow(), sh.getLastColumn()).getDisplayValues().flat();
let oA = [];
vs.forEach(p => {
let f = p.split(/[. ]/);
if (!isNaN(f[0]) && ms.includes(f[1])) {
let s = p.slice(0, p.indexOf('.'));
let t = p.slice(p.indexOf('.')+2);
oA.push([s, t]);
} else {
oA.push(['',p]);
}
});
osh.getRange(1,1,oA.length,oA[0].length).setValues(oA);
}
QUESTION
I am new to Airflow 2.0 and really struggling to find a way to save my DAG remotely instead of submitting it in the scheduler automatically. I have a config file which loads settings for my Spark job.
I am trying to write a utility python file which reads the configuration file, parses it and creates a DAG file. I have done it using Astronomer's create_dag example, but it submits the DAG directly and there's no way for me to see the generated DAG code except for the UI.
- How can I achieve saving a DAG file instead and submitting later?
- Also, is it possible for my utility to have some sort of templating that would include the operators and params which I would need to create and save the DAG file remotely so that I can submit it later? (without this I created a sample dag with hardcoded values, but instead I want a utility that would do this for me and save it remotely)
- Any examples?
ANSWER
Answered 2021-Mar-04 at 00:27I am assuming you are referring to this guide on Dynamically Generating DAGs in Airflow.
One way you can "saving a DAG file" instead of having Airflow dynamically create the DAG is to generate the file beforehand. For example, you can add a step in your CI/CD pipelines to run a script that generates your python file and then push that to the scheduler.
This process can be describes as preparing and rendering a template.
You can use Jinja to accomplish this.
Fun fact, Airflow also uses Jinja to build its webpages as well as allowing the user to leverage jinja templating to render files and parameters!
The following example should get you started.
generate_file.py
QUESTION
I'm using Airflow (Astronomer.io deployment), and this DAG code is on a Celery deployment.
This DAG gets data from the database (SQL Server) and then performs the following operations on the list of records. Below is a snippet that, since this is Airflow, uses SQLAlchemy to get the data, and then I convert it to a list.
...ANSWER
Answered 2020-Dec-22 at 21:24Your problem is that get_records reads the entire result set into memory.
You want to limit the number of rows in memory at any given time.
What you want is a generator. Something like this:
QUESTION
I have been trying to understand this for almost over 2hrs now and still I'm unable to understand the output of my JOIN query.
I have a table gift with the structure
ANSWER
Answered 2020-Dec-03 at 21:07Actually it gives back 10 rows as expected
only 10 and 15 are double, so you get 8 and as 18 and 30 are unique you get 2 more rows
QUESTION
I'm looking for someone very expert in using Armadillo (C++). I am a wannabe astronomer and I'm trying to compute the ab apparent magnitude m_ab of a SSP (simple stellar population, a group of chemically homogeneus and coeval stars) in a specific filter of a telescope.
The input of the function compute_ab, which does this calculation, are the wavelength wavelength and the corresponding Spectral Energy Distribution sed of the SSP (basically it is the luminoisty of the SSP per unit wavelength, over a range of wavelength); the input fresp and fwaves are the throughput of the telescope (basically the filter in a certain band) and the corresponding wavelength range over which the througput is distributed. They are std::vector in 1D. What I need to output is a number, possibly a double or long double.
What I surely need to compute m_ab from these information is an interpolation, because the SED and the throughput can be at very different wavelengths; it is a convolution and an integration. Physically speaking, the passages I make in this function are correct, so I'm asking some help to use Armadillo, am I doing it correctly? How can I set the output as a double? Moreover, I'm getting this error right now, when I run my code:
...ANSWER
Answered 2020-Oct-12 at 15:29There are a few problems with this code and maybe a few operations that are not doing what you want.
- You are coping the the input vectors, which can be very costly and is completely unnecessary. Change
QUESTION
I'm using the GnuCOBOL compiler, with OpenCobolIDE I'm creating a virtual timeline But, when I reached 174 lines, it gives this error:
source text exceeds 512 bytes, will be truncated
What can I do? I have to reach nearly 2000 lines of code...what am I supposed to do? Thanks a lot!
Full code below. There are a lot of things here, there are only histoy facts, and you can basically skip all the " display " sections. I added a loop but at a certain line, it simply "breaks" the code.
...ANSWER
Answered 2020-Jun-03 at 22:39Apparently the maximum length of a single line is 512 characters, and the line 144 has 579 characters
QUESTION
I have the following task to solve:
Files are being sent at irregular times through an endpoint and stored locally. I need to trigger a DAG run for each of these files. For each file the same tasks will be performed
Overall the flows looks as follows: For each file, run tasks A->B->C->D
Files are being processed in batch. While this task seemed trivial to me, I have found several ways to do this and I am confused about which one is the "proper" one (if any).
First pattern: Use experimental REST API to trigger dag.That is, expose a web service which ingests the request and the file, stores it to a folder, and uses the experimental REST api to trigger the DAG, by passing the file_id as conf
Cons: REST apis are still experimental, not sure how Airflow can handle a load test with many requests coming at one point (which shouldn't happen, but, what if it does?)
Second pattern: 2 dags. One senses and triggers with TriggerDagOperator, one processes.Always using the same ws as described before, but this time it justs stores the file. Then we have:
- First dag: Uses a FileSensor along with the TriggerDagOperator to trigger N dags given N files
- Second dag: Task A->B->C
Cons: Need to avoid that the same files are being sent to two different DAG runs. Example:
Files in folder x.json Sensor finds x, triggers DAG (1)
Sensor goes back and scheduled again. If DAG (1) did not process/move the file, the sensor DAG might reschedule a new DAG run with the same file. Which is unwanted.
Third pattern: for file in files, task A->B->CAs seen in this question.
Cons: This could work, however what I dislike is that the UI will probably get messed up because every DAG run will not look the same but it will change with the number of files being processed. Also if there are 1000 files to be processed the run would probably be very difficult to read
Fourth pattern: Use subdagsI am not yet sure how they completely work as I have seen they are not encouraged (at the end), however it should be possible to spawn a subdag for each file and have it running. Similar to this question.
Cons: Seems like subdags can only be used with the sequential executor.
Am I missing something and over-thinking something that should be (in my mind) quite straight-forward? Thanks
...ANSWER
Answered 2020-Feb-06 at 00:39Seems like you should be able to run a batch processor dag with a bash operator to clear the folder, just make sure you set depends_on_past=True on your dag to make sure the folder is successfully cleared before the next time the dag is scheduled.
QUESTION
So, basically i have a JSON file
...ANSWER
Answered 2020-Jan-26 at 13:32You can use 2 time the for loop:
1st delimiters :} in for loop, and ; (default) in 2nd for loop 2nd:
- In command line:
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