reports | Utilities to ease the creation of HTML/PDF reports | Document Editor library
kandi X-RAY | reports Summary
kandi X-RAY | reports Summary
Utilities to ease the creation of HTML/PDF reports using Python language
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of reports
reports Key Features
reports Examples and Code Snippets
def employee_generator(top_employee):
"""Employee generator.
It is essentially the same logic as above except constructed as a
generator function. Notice that the generator code is in a single
place, whereas the iterator code is in m
public void loadReports() throws EngineException {
File folder = new File(reportsPath);
for (String file : Objects.requireNonNull(folder.list())) {
if (!file.endsWith(".rptdesign")) {
continue;
public int successfullyAttacked(int incomingDamage, String damageType) throws Exception {
// do things
if (incomingDamage < 0) {
throw new IllegalArgumentException ("Cannot cause negative damage");
}
return 0;
}
Community Discussions
Trending Discussions on reports
QUESTION
ANSWER
Answered 2021-Jun-16 at 00:21Javascript is case sensitive. I see that you used subreport
and it should be subReport
with a capital R
.
QUESTION
I am new to rust and I was reading up on using futures
and async / await
in rust, and built a simple tcp server using it. I then decided to write a quick benchmark, by sending requests to the server at a constant rate, but I am having some strange issues.
The below code should send a request every 0.001 seconds, and it does, except the program reports strange run times. This is the output:
...ANSWER
Answered 2021-Jun-15 at 20:06You are not measuring the elapsed time correctly:
total_send_time
measures the duration of thespawn()
call, but as the actual task is executed asynchronously,start_in.elapsed()
does not give you any information about how much time the task actually takes.The
ran in
time, as measured bystart.elapsed()
is also not useful at all. As you are using blocking sleep operation, you are just measuring how much time your app has spent in thestd::thread::sleep()
Last but not least, your
time_to_sleep
calculation is completely incorrect, because of the issue mentioned in point 1.
QUESTION
I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.
First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?
Usage
I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..
We can assume an average of 50k forms per gym
Options
First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.
Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.
Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.
Is there another option? Which one of the three is better?
Edit: I'm assuming another option would be SimpleDB?
...ANSWER
Answered 2021-May-21 at 20:26For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:
QUESTION
I am trying to parse many XML test results files and get the necessary data like testcase name, test result, failure message etc to an excel format. I decided to go with Python.
My XML file is a huge file and the format is as follows. The cases which failed has a message, & and the passed ones only has . My requirement is to create an excel with testcasename, test status(pass/fail), test failure message.
...ANSWER
Answered 2021-Jun-15 at 17:46Since your XML is relatively flat, consider a list/dictionary comprehension to retrieve all child elements and attrib
dictionary. From there, call pd.concat
once outside the loop. Below runs a dictionary merge (Python 3.5+).
QUESTION
After upgrading karate version to 1.0.0 cucumber reports are not generated. though no test is failed
Error message: Mar 17, 2021 4:54:06 PM net.masterthought.cucumber.ReportBuilder generateErrorPage INFO: Unexpected error net.masterthought.cucumber.ValidationException: None report file was added! at net.masterthought.cucumber.ReportParser.parseJsonFiles(ReportParser.java:61)
Note: Working fine with 0.9.6 version
...ANSWER
Answered 2021-Mar-17 at 23:58As per upgrade notes: https://github.com/intuit/karate/wiki/1.0-upgrade-guide
HTML reports (and other artifacts) will be in target/karate-reports (or build/karate-reports for Gradle) so if your CI was pointing to /surefire-reports, this has to be changed
The Cucumber JSON and JUnit XML files are NOT output by default use the builder methods on the Runner, there is also outputJunitXml(true) Results results = Runner.path("classpath:demo") .outputCucumberJson(true) .tags("~@ignore").parallel(5);
If you change as per above in your runner - reports will be generated.
QUESTION
i'm a beginner on MYSQL db and i'm trying to play around with the query and relations.
i have created 2 tables, one is 'users' which contain the field staff_ID and the other is 'reports' which also contain the table field staff_ID of the user submitting the reports.
on the relations (see picture) i have connect the 2 staff id field.
every user can submit more than one reports, so i'm try to query and get only the reports of one users(staff_ID). I understood i have to use the JOIN keyword in order to obtain the data..
i tried the following query but it gave me all the result for all the users.
...ANSWER
Answered 2021-Jun-15 at 13:22You can do this either with an inner
join or a where
clause:
QUESTION
I am looking for a way to download the data behind core web vital reports in google search console. is there any api for this? so far the only thing I find is the page speed api which is providing the current analysis for given url. What I need is the counts and distribution per day which is exactly what is shown in this report:
There is a link to download when I navigate into the report, but I am looking for a python api kind of thing to programmatically download this data.
...ANSWER
Answered 2021-May-12 at 23:20The GSC API currently does not support these new reports.
The Core Web Vitals data comes from the CrUX report data which does have an API. So you can get similar data via that. I think the PSI API also includes data from CrUX if available. It would probably take some work to get the data in the structure you want it.
QUESTION
I wrote this function in PHP in order to query a DB, if I manually type the staff_ID 04033 in the query as follow it work perfectly...
...ANSWER
Answered 2021-Jun-15 at 13:57Read about how to properly concatenate strings. Try this way:
$query = "SELECT users.staff_ID, users.Name, reports.id_report_show, reports.date_report FROM users
JOIN reports ON reports.staff_ID = users.staff_ID where users.staff_ID = " . $staff_ID;
And do not forget to quote/sanitize your strings, especially when the values are comng from user input.
QUESTION
I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:
I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:
...ANSWER
Answered 2021-Jun-15 at 06:17Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.
You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.
To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.
Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.
QUESTION
In my iOS app "Progression" there is rarely a crash (1 crash in ~1000+ Sessions) I am currently not able to fix. The message is
Progression: protocol witness for TrainingSetSessionManager.update(object:weight:reps:) in conformance TrainingSetSessionDataManager + 40
This crash points me to the following method:
...ANSWER
Answered 2021-Jun-15 at 13:26While editing my initial question to add more context as Jay proposed I think it found the issue.
What probably happens? The view where the crash is, contains a table view. Each cell will be configured before being presented. I use a flag which holds the information, if the amount of weight for this cell (it is a strength workout app) has been initially set or is a change. When prepareForReuse is being called, this flag has not been reset. And that now means scrolling through the table view triggers a DB write for each reused cell, that leads to unnecessary writes to the db. Unnecessary, because the exact same number is already saved in the db.
My speculation: Scrolling fast could maybe lead to a race condition (I have read something about that issue with realm) and that maybe causes this weird crash, because there are multiple single writes initiated in a short time.
Solution: I now reset the flag on prepareForReuse to its initial value to prevent this misbehaviour.
The crash only happens when the cell is set up and the described behaviour happens. Therefor I'm quite confident I fixed the issue finally. Let's see. -- I was not able to reproduce the issue, but it also only happens pretty rare.
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