Simplify CSV Output for Event end-point

[batpad]

Currently, the emergency API end-point, when returned as CSV, generates separate columns for every field report attached to the emergency. This is creating an inordinate and unmanageable amount of columns.

We should simplify the CSV output for the Emergency API so that it only returns summarized information for the field reports - perhaps just two fields:

• Has Field Reports - simple yes or no
• Field Report IDs - comma separated list of field report IDs

These changes should only happen on the CSV output, and we should leave the JSON output the same (we do this similarly to how we handle the Field Report serializer conditionally based on the output format).

@nanometrenat please let me know if this ticket is duplicated somewhere, could not find an existing ticket.

cc @GregoryHorvath is this something you might be able to take on?

[nanometrenat]

Thanks @batpad that sounds great - I hadn't realised that it was simple to treat csv output differently to json - excellent solution. Backstory is in this comment on another ticket: IFRCGo/go-frontend#1161 (comment)

Above 2 fields sound good. Re the first one, if just as easy to calculate, then Number of Field Reports would be even better (then we know if it's zero/null then there are no Field Reports attached, otherwise can display a number). But if that is at all complicated or additional processing then we can do the processing by counting up the ids in the csv list.

The other thing that would be amazing (though would be an additional requirement, and may not be feasible, so not critical if too hard/risky), would it be possible to add an additional new field Has COVID-19 Field Report ? Would be really helpful for our dashboards but we can always do a join if not poss. Many thanks

[nanometrenat]

Interestingly, I did not realise that the "mini" event endpoint was even an option! Interested to know how/where it is used: https://goadmin.ifrc.org/docs/#event-mini_events

[nanometrenat]

Following Monday's meeting, standing by for a proposed new schema for review - thanks!

[kamicut]

So for the Events API, the included data that are larger objects are the following:

• Appeals
• Field Reports
• Countries

For countries, we can use the database id as well as an iso code or country name for legibility. I'm not too familiar with the structure of the Appeals and Field Reports but they each have a separate aid and rid that is different from the id.

Here's a sample output of the CSV with the current code:

appeals.id	auto_generated	countries.id	countries.name	created_at	disaster_start_date	dtype.id	dtype.name	dtype.summary	field_reports.id	glide	id	ifrc_severity_level	is_featured	is_featured_region	name	num_affected	parent_event	slug	summary	updated_at
	TRUE	14, 285	Afghanistan, Africa Region	2020-05-26T04:22:35.314124Z	2020-05-13T00:00:00Z	15	Fire		11806		3559	Green	FALSE	FALSE	a					2020-06-05T02:52:01.017850Z
	TRUE	1	Ukraine	2019-05-21T09:50:01.315999Z	2019-05-21T09:50:01.192943Z	12	Flood		11805		3558	Green	FALSE	FALSE	Flooding in Western Ukraine					2019-05-21T09:50:01.316015Z
	TRUE	71	Georgia	2019-05-17T15:01:16.893454Z	2019-05-17T15:01:16.790122Z	27	Pluvial/Flash Flood		11804		3557	Green	FALSE	FALSE	Floods in Kakheti Region, Georgia					2019-05-17T15:01:16.893472Z
	TRUE	62	El Salvador	2019-05-17T13:44:57.703203Z	2019-05-17T13:44:57.468765Z	2	Earthquake		11803		3556	Green	FALSE	FALSE	SISMO magnitud 5.9 con replicas en El Salvador					2019-05-17T13:44:57.703218Z
	TRUE	112	Mali	2019-05-16T21:30:46.512665Z	2019-05-16T21:30:46.228676Z	12	Flood		11802		3555	Green	FALSE	FALSE	Ce jeudi 16 mai 2019, une grande inondation à Bamako: bilan provisoire: 14 morts .					2019-05-16T21:30:46.512679Z
	TRUE	222	Israel	2019-05-15T17:59:40.011132Z	2019-05-15T17:59:39.947733Z	2	Earthquake		11798		3551	Green	FALSE	FALSE	On May 15th at 19:53 an earthquake was felt in Israel, no reports of damage or casualties.					2019-05-15T17:59:40.011147Z
	TRUE	194	Mongolia	2019-05-15T07:34:27.182236Z	2019-05-15T07:34:26Z	14	Cold Wave		11797		3550	Green	FALSE	FALSE	6 dead in an active snowstorm in Mongolia	500				2019-05-16T15:33:03.391751Z
	TRUE	76	Guatemala	2019-05-14T23:24:54.694277Z	2019-05-14T23:24:54.179557Z	20	Drought		11796		3549	Green	FALSE	FALSE	Sequía en Guatemala					2019-05-14T23:24:54.694294Z

[batpad]

@kamicut this is looking good to me! @nanometrenat could you look at the CSV sample above, and happy to have a follow-up chat any time.

@kamicut I see that in the CSV posted, there is only always one field report, country, etc. - is it possible to output with an example where there are multiple ids / names? I assume these values will be comma-separated inside a single cell?

[GergiH]

@kamicut 👍 I like the latest approach you went in the latest code, so I'm following that for the Tableau WDC. I'd say we should definately include summary for the fieldreports and name for the appeals.

cc @batpad