AndrewTavis_WMDE added a comment.
Here are the values for `Tizen` as well, @Manuel:
| access_method | total_requests | percent |
| - | -- | --- |
| desktop | 10874 | 93.7333 |
| mobile web| 727| 6.2667 |
|
I'd assume
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
We'd talked "Tizen" a bit this morning, @Manuel, but let's not focus on it.
Did a bit of Wikipedia research <https://en.wikipedia.org/wiki/Tizen> and since
since 2021 it's mostly in use in Samsung Smart TVs. That leaves us with
`A
AndrewTavis_WMDE added a comment.
Here are the answers to the three questions we had from the daily, @Manuel:
`uri_host LIKE 'wikidata'` as mentioned above:
| uri_host |
| -- |
| test.m.wikidata.org|
| query-preview.wikidata.org
AndrewTavis_WMDE added a subscriber: JAllemandou.
AndrewTavis_WMDE added a comment.
And here are the finalized heuristics (@JAllemandou, tagging you as well).
The following query is saved as a temporary view as `df_requests_subset`:
SELECT
user_agent_map.os_family AS os_family
AndrewTavis_WMDE added a comment.
@Manuel, I think we can throw out the idea of creating an edits subset of
webrequests, sadly :( The following would be where we'd find the various
actions that we'd need to collect to define as edits fully:
https://www.wikidata.org/w/api.php. We know
AndrewTavis_WMDE added a comment.
Here are the tables that break down the `device_family` values, @Manuel :) As
before:
**Population for the following is**:
All requests to `www.wikidata.org` and `m.wikidata.org` inclusively between
25/7/2023 and 31/7/2023 that are further
AndrewTavis_WMDE added a comment.
As far as totals for this task are concerned, @Manuel, what I'm getting is
the following:
**Population for the following is**:
All views of `www.wikidata.org` and `m.wikidata.org` inclusively between
01/7/2023 and 31/7/2023 that are further
AndrewTavis_WMDE added a comment.
Thanks, @nshahquinn-wmf! I've made wikimedia/wmfdata-python/pull/46
<https://github.com/wikimedia/wmfdata-python/pull/46> with the discussed
changes :) :)
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AndrewTavis_WMDE added a comment.
mediawiki_wikitext_current
<https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Content/Mediawiki_wikitext_current>
can likely be used for the `common.js` and `common.css` files :)
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wser_properties_table
<https://www.mediawiki.org/wiki/Manual:User_properties_table> can be used for
preferences. How we access it is still to be figured out.
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AndrewTavis_WMDE moved this task from Incoming to Kanban on the Wikidata
Analytics board.
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AndrewTavis_WMDE added a comment.
Will do, @Manuel!
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I'm really not sure why I can't assign both `Wikidata Analytics` and
`Wikidata Analytics Kanban`, @Manuel. Did you change the settings?
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Just checked in with @Michael on this and we did a check of my ability to run
`sudo -u analytics-wmde crontab -l` on `stat1007`. I sadly don't have access :(
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AndrewTavis_WMDE added a comment.
We could further make use of pre-commit <https://pre-commit.com/> to check
code before commits, which is further something that's suggested in the WMF
Airflow docs
<https://wikitech.wikimedia.org/wiki/Data_Engineering/Systems/Airflow/Develo
AndrewTavis_WMDE added a comment.
For namespace we're talking about `User:` and similar spaces for projects,
discussions, etc etc :)
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Ruff also just brought out its own formatter
<https://github.com/astral-sh/ruff/blob/main/crates/ruff_python_formatter/README.md>
that's fully compatible with Black. As far as formatting adoption at WMF,
product analytics states here in their styl
AndrewTavis_WMDE added a comment.
Generally yes, @Manuel :) Working to get all of these columns figured out now
The last thing I'm considering is how we're subsetting by namespace. We have
conditions for UI edits that are inherently based on Wikidata related tags with
the catch-all being
AndrewTavis_WMDE added a comment.
Also as far as `device_type` is concerned, @Manuel, we do not have access to
a `user_agent` field in wmf.mediawiki_history
<https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Edits/MediaWiki_history>
where we have the revision tags. As users can
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
> Also you are explicitly filering for `is_pageview = True`
Just a quick note on this, @Manuel: I was told by WMF that for
`wmf.pageview_actor` we still need to do a filter for `WHERE is_pageview =
True` as the filtering that makes this ta
AndrewTavis_WMDE added a comment.
Some general notes on this: as we're working from `wmf.pageview_actor` and
`wmf_raw.mediawiki_private_cu_changes`, there might be a way to leverage their
expanded `agent_type` field such that for at least the former we have
`automated` as an option within
AndrewTavis_WMDE added a comment.
@Manuel, re the question of what kind of `referer` values we have for
"desktop" requests, the following query was used to get the results below.
**Population for the following is**:
All requests from `www.wikidata.org` and `m.wi
AndrewTavis_WMDE added a comment.
Here's the above `referer` breakdown for mobile for reference, with the big
difference being that we have dramatically less `-` requests - good for
thinking that these are APIs - and have a lot of extension requests:
| referer
AndrewTavis_WMDE added a comment.
@Manuel, as mentioned on Mattermost there as of now doesn't seem to be a good
way of deriving `agent_type` for those tables that don't have it. We can get
`spider` through a `UDF`, but `automated` isn't possible at the moment. This
makes the final division
AndrewTavis_WMDE added a comment.
Your suggestion make more sense now, @Michael :) If we're looking for
pageviews by users, then we can make the assumption that we don't want
`api.php` and `load.php` for `uri_path` as views should come from another page.
When considering traffic
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
@Manuel, as the plan is to start working on a canonical edits data table that
will fit our needs with WMF, do you envision tracking that in this task, or
would it make sense to make a new one for that that we can then include all the
stakeholders we'd
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
@Manuel, in following @Michael's suggestion for looking into all paths that
end in `api.php` and `load.php` we're getting the following:
URI Path ends in API or load
**Population is**:
All requests from
AndrewTavis_WMDE added a comment.
Summarizing the above, @Manuel:
- We're generally able to get a good understanding of mobile users via
looking at `user_agent_map.os_family = 'Android'`, `'iOS'` or `'KaiOS'`
- If we don't have `user_agent_map` as a column, we can create
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
@Manuel, do we want namespace to just be a column? Simplicity wise it might
make sense to split all the metrics by namespace and then get aggregates via a
group by on user id rather than saving data and the aggregate of data in the
same table.
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@Manuel, edited the task description above with an outline of what I think we
could do on this :)
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AndrewTavis_WMDE added subscribers: mpopov, mforns.
AndrewTavis_WMDE added a comment.
@mpopov and @mforns: pinging the both of you as
github.com/wikimedia-research/canonical-data
<https://github.com/wikimedia-research/canonical-data> is maintained by Product
Analytics and Data Engin
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Something to also consider here @Manuel is what we like for a timestamp. We
have aggregations here, so a granular timestamp would inherently go against the
30 day period. What were you thinking on that?
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I'd be happy to look into this, @xcollazo! We were discussing linting and
checks like this in an open-source project I work on and decided to go with
Ruff <https://github.com/astral-sh/ruff>. Would that be worth adopting instead
of `flake8`? I coul
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@nshahquinn-wmf, resolving this as the PR was merged Thanks for the support
here!
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AndrewTavis_WMDE added a comment.
Ok, great! I'll check out some ideas for Ruff and maybe get started on this
next week :) I'll hold off on the GitHub action as well as I'm remembering now
that @nshahquinn-wmf mentioned the move to GitLab in T341589: Improve
df_to_remarkup formatting
AndrewTavis_WMDE added a comment.
See T349531: Add testing framework to wmfdata-python
<https://phabricator.wikimedia.org/T349531>, @xcollazo! Added you and
@nshahquinn-wmf as subscribers already :)
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AndrewTavis_WMDE renamed this task from "wmfdata-python formatting and link
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Updated the task and also mentioned maybe adding an auto-formatter that could
help to make sure that things are running smoothly before we have workflows set
up to test PRs/MRs :)
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AndrewTavis_WMDE added a comment.
A PR has been opened on GitHub
<https://github.com/wikimedia-research/canonical-data/pull/10> that sends along
the needed changes to the countries table. Once that's merged and the update
notebook is ran we'll be good to resolve this as the neede
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
Added a link to the task description pointing people to the following doc
where I've been documenting the code base:
https://docs.google.com/document/d/1aYWcStCZySbKTKbHdFzb4n9ZBpBntIbSZsnd99nriuc/edit?usp=sharing
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AndrewTavis_WMDE added a comment.
@Manuel, in reference to the following open question:
> Do we need more detail than months or not?
Who are the stakeholders beyond you that we'd need to check with for the
proper gradation?
Let's also discuss the following in one of our n
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
@Manuel, the numbers have been updated in the description for the task :) The
discrepancy is pretty dramatic, so I'm unsure if you have some info on why that
could be or if we can attribute it to an overall adoption trend. Happy to look
a bit more
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Michael
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@Manuel, the task has now been updated with all the metrics. Took a bit for
all the queries to run :) Let me know if you have further thoughts on the final
subtask:
> [ ] Let's discuss what we can do to make the metric more robust and
reliable (
AndrewTavis_WMDE updated the task description.
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karapayneWMDE
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE claimed this task.
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Invadibot, maantietaja
AndrewTavis_WMDE renamed this task from " [Analytics] Airflow implementation of
unique user-agents accessing Wikidata's REST API metrics" to " [Analytics]
Airflow implementation of unique ips accessing Wikidata's REST API metrics".
AndrewTavis_WMDE updated the task descr
AndrewTavis_WMDE claimed this task.
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AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
Sure, I'll head over to T341330 <https://phabricator.wikimedia.org/T341330>
and edit the task so it's aligned with what we discussed :)
TASK DETAIL
https://phabricator.wikimedia.org/T334558
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AndrewTavis_WMDE updated the task description.
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karapayneWMDE
AndrewTavis_WMDE added a comment.
Note that this task is blocked by {https://phabricator.wikimedia.org/T340648}
:)
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AndrewTavis_WMDE added a subscriber: Manuel.
AndrewTavis_WMDE added a comment.
@Manuel, the task description has now been updated with the aggregate values
for the dump from `2023-7-10`. As this is weekly, the next dump will be made on
the 19th, so I'll go ahead and rerun the process then so
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
> We might create a little report for this and the coming WDQS task.
We could do this, yes. Do you mean something in Google Docs? (I mention a
readme with the code below as another alternative)
> In terms of code documentation GitHub woul
AndrewTavis_WMDE updated the task description.
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AndrewTavis_WMDE added a comment.
And would a table output be preferable for easier comparison?
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