I am trying to make SSML for the following date-time = 2017-12- 22 1: 12 :22
The date is extensively mention in the ALEXA documentation but I am having problem on time. I am unable to figure out how to represent time in hours minute second
I think you can just specify time in standard hh:mm:ss format, no extra formatting needed. So for example, if the above "1: 12 :22" means "one twelve and twenty two seconds", then just specify it as 1:12:22.
Try entering text like that into the Alexa developer console's Test tab Voice Simulator to hear how Alexa will speak something.
Related
I build application which pull sales data from Amazon and push it to Google Analytics.
I'm "hitting" transaction to Analytics and it's all works fine, the problem is that in Amazon the sales data updated after 48 hours (maximum) so I need to pull the report two days later.
Does anyone know if there's a way to send the date of the transaction? Can't find it in the Measurement Protocol API.
Thank you all, Peace and love :)
Not really. You have the queue time parameter (offset between current time and time the data was tracked), but as it says in the documentation:
Values greater than four hours may lead to hits not being processed.
"May" indicates that this is not a completely fixed limit but I'm pretty sure that 48 hours are not covered (Philipp Walton, a Google engineer who frequents SO once mentioned that the queue time limit is somehow related to timezones and rollover between days, so I'd guess that two days are way to long).
Apart from that there is as of yet no way to set a date for a hit.
You can try posting a Custom Dimension for each event you send, where the dimension is formatted to the date-time:-
e.g.
&t=event&cd1=20170423081321&cm1=24 etc
Only problem is: when you generate a GA custom report, the values are accumulated per day. If anyone knows how to get round that, would love to hear it!
Can anyone tell me the best way of calculating the end date of a recurring event from the number of occurrences and the pattern in which the event occurs.
For example:
I have an event which has start date as 10/07/2014 (Tuesday) and occurs every week on Tuesday. This event will end after 10 occurrences (say). So, the my method should return me the end date as : 12/09/2014
The method should also consider more complex situations like suppose if the event occurs yearly on first Monday of October and has total 10 occurrences.
(This isn't an answer which gives you a complete solution by any means, but hopefully it's a step in the right direction.)
Good luck. I've worked on an ActiveSync implementation, and recurrent events are fundamentally painful. You'll need to think about all kinds of corner cases - if something occurs every month on the 30th, what happens in February? What happens if it happens at 1.30am, and the clocks go forward or backward in the event's time zone so that 1.30am happens 0 or 2 times for a particular day?
Noda Time can help with this, but it doesn't provide a complete solution, partly because all the requirements will vary so much.
The important types you'll need to know about are LocalDate and LocalDateTime to provide time-zone-neutral dates/times, and Period which represents a not-necessarily-fixed period of time, such as "1 month". That will help with things like "add a week" - and there are methods on LocalDate for things like "next Monday after this date". It gets harder for events which are "weekly, on Monday and Wednesday" - you'll want to step through the weeks, working out which days occur within a particular week, until you've gone through all the events you need.
Noda Time 2.0 has the concept of "adjusters" which will make life somewhat simpler for things like "the first Monday of October" but everything you need to do can be done with Noda Time 1.3. (Don't wait for Noda Time 2.0, which I wouldn't expect to be released for another 6 months at least.)
I think my strongest pieces of advice would be:
Keep it simple. Focus on getting the right results first, then work out any optimizations you need. (For example, don't try to "guess" when the 100th instance of an event will occur - stepping through 100 instances with simple steps will be slower, but get you to the right answer. Do measure the performance, but make sure you have good tests before you optimize.)
Introduce your own types to represent exactly what you know about the event. Use the Noda Time types where they match of course, but don't be tempted to use an existing type just because it's quite like what you're trying to represent. The small differences will bit you eventually.
Make sure you know what you actually want the results to be. Write lots of tests. Date and time work is a naturally data-oriented domain, so invest in making it as easy as possible to write tests for all the corner cases you should be thinking of. (And you really should be thinking about them. Pay particular attention to leap years and time zones.)
Be aware that time arithmetic doesn't follow the normal rules of arithmetic - x + 1 month + 1 month isn't the same as x + 2 months
If/when behaviour surprises you, do come back to ask specific questions here. There aren't very many of us working on Noda Time, but questions tend to be answered quickly :)
I'm stuck with building my own, simple browser game.
My program: you can upgrade your tools which allow you to gain more points per hour.
My problem:
So for example a user logs in and upgrades his tools from 0 to 1 which would double the amount of points gained. But upgrading takes 2 hours to complete. I don't expect my user to be online for 2 hours so I save the time he was last seen in an SQL table. Now when 2 hours have passed the amount of points gained need to be doubled but it's very possible that the user doesn't visit the page for another 10 hours. So my current program keeps adding 1 point per hour until the user visits the page. So in this case he'd have 12 points. But it needs to multiply after 2 hours so he needs to have 22 points.
Another, maybe simpler example is a maximum amount of points. Let's say the max is 10 points. But the user stays offline for 15 hours which means he'd earn 15 points at a rate of 1pnt/hr.
I don't have any functionally code yet because I want to know if something like this is actually possible and how for example cityVille(facebook) does it.
Now my question:
Can anyone give me a tip or give me some info on how to get started at this or at least give me the name of what I'm searching for? I've tried google'ing things like "offline database interactions" or "changing variables without user request" but nothing useful comes up.
Thanks in advance,
BlaDrzz.
You can schedule jobs with SQL server. These jobs can run at whatever frequency you like.
http://technet.microsoft.com/en-us/library/ms191439.aspx
When getting information from Twitter's API for a user, they provide two fields related to the user's time zone:
utc_offset: -14400,
time_zone: "Indiana (East)"
Unfortunately, this doesn't tell the full story because I don't know if that UTC offset was calculated during standard time or daylight savings time. After dividing by 3600 seconds, I get -4 hours, which is valid during the summer months, but in the winter the correct value would be -5 hours.
If the value was ALWAYS determined by the daylight savings time value then I could write an algorithm for that, however after some searching on the subject I've seen several pasted outputs that contradict that assumption. (as a quick example, this question shows his/her offset as -21600 and then he/she says he/she is on central time, which if calculated during daylight savings time would be -18000).
It would make sense to me that the value would be calculated as of Jan 1 and the several pasted outputs I've found online fall into that category, but my own Twitter account shows the values listed above for which this assumption is invalid. My next thought was maybe it was calculated at the time I created my account, but then that seems erroneous as well because I can change my time zone at any later point (and even so, I created my account in November when I would have been on standard and not daylight time!).
My last thought was that maybe the value is being calculated by the date of the API request. This makes a lot of sense and the Twitter accounts I own all seem to validate this. BUT, the SA question I linked to earlier shows that the person answered the question on June 2nd, which is daylight savings time and his/her value of -21600 reflects a standard time for the Central time zone.
Anyone out there solve this problem? Thanks so much!
Twitter's front end uses Ruby on Rails. If you go to your own twitter account settings and look at the possible options for time zones (view source on the dropdown list), you will find that they match up with those provided by ActiveSupport::TimeZone, shown in this documentation. Although there appears to be some zones understood by Rails that Twitter has omitted, all of the Twitter zone key names are in that list.
I have asked Twitter to use standard time zone names in the future, in this developer request.
Why does Rails limit this list and use their own key values? Who knows. I have asked before, and gotten very little response. Read here.
But you can certainly use their mapping dictionary to turn the time_zone value into a standard IANA time zone identifier. For example:
"Indiana (East)" => "America/Indiana/Indianapolis"
"Central Time (US & Canada)" => "America/Chicago"
This can be found in the Rails documentation, and in the source code. (Scroll down to MAPPING.)
Then you can use any standard IANA/Olson/TZDB implementation you wish. They exist for just about every language and platform. For further details, see the timezone tag wiki. If you need help with a specific implementation, you'll need to expand your question to tell us what language you are using and what you have tried so far. (Or consider asking a new question about just that part of it.)
In regards to the utc_offset field, twitter does not make it clear what basis they use to calculate it. My guess is that it is the user's current offset, based on the time that you call the API.
Update 1
I have added support for converting Rails time zone names to both IANA and Windows standard time zone identifiers in my TimeZoneConverter library for .NET. If you are using .NET, you can use this library to simplify your conversions and stay on top of updates more easily.
Update 2
Twitter's API now returns the time zone in this format:
"time_zone": {
"name": "Pacific Time (US & Canada)",
"tzinfo_name": "America/Los_Angeles",
"utc_offset": -28800
},
Use the tzinfo_name field. Done. :)
i am working on an application that uses the Google Analytics Export API and i am trying to get the "Trend" result that Google shows against each of your site accounts as a percentage
ie UP 35.04% or DOWN 16.02%
How/where do they get this figure and is it available in the API somewhere.
i have tried comparing averages of last month to this month/first week of the period vs last week of the period etc, but i cannot seem to get the same numbers that Google provides.
any ideas?
thanks in advance
Doug
The formula is pretty simple (excluding today's data):
(Visits over the last 30 days - Visits
between 31 and 60 days ago) / (Visits
between 31 and and 60 days ago).
You can see it in action in the interface if you go to the default dashboard, where it shows you the last 30 days, then on the calendar, click "Compare to past" and select the default amount. It'll show you the numbers used for each calculation and the calculations as they appears in that account list.
The API does not, however, expose pre-calculated numbers (for example, they don't compute bounce rate for you; they just give you the pieces for it.)
So, you'd need to do two API requests to get this data. One for ga:visits in the last 30 days, and then one for ga:visits in the 30 days prior.
Then, when you get it, just subtract, divide, and multiply by 100, and you'll have the percent you're looking for.
UPDATE: The striked out part of the answer was true, but is no longer. The newest version of the Google Analytics API does provide access to some pre-calculated values.