We are calling invokehttp processes and getting response which json. Example
{
"id": "h569gcjhcm",
"doi": {
"id": "10.17632/h569gcjhcm.1",
"status": "allocated",
"prefix": "10.17632"
},
"name": "Data for: Flooding of the Caspian Sea at the intensification of Northern Hemisphere Glaciations",
"description": "Supplementary data for the Jeirankechmez section in Azerbaijan.\n\n- Appendix A contains all paleomagnetic data and interpretations of the Jeirankechmez section. This .dir file can be imported into the paleomagnetism.org webportal under \"Interpretation Portal\", \"Advanced Options\", \"Import Application Save\". For further details on the use of paleomagnetism.org please refer to the article by Koymans et al. (2016) - https://doi.org/10.1016/j.cageo.2016.05.007.\n- Appendix B contains the magnetic susceptibility data for the analysed samples, including geographic coordinates and stratigraphic levels.\n- Appendix C contains the 40Ar/39Ar data for the three analysed volcanic ash layers. ",
"version": 1,
"publish_date": "2019-01-29T12:51:38.090Z",
"data_licence": {
"id": "01d9c749-3c4d-4431-9df3-620b2dcfe144",
"short_name": "CC BY 4.0",
"full_name": "Creative Commons Attribution 4.0 International",
"description": "This dataset is licensed under a Creative Commons Attribution 4.0 International licence.\n\nWhat does this mean?\nYou can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.",
"url": "http://creativecommons.org/licenses/by/4.0",
"category": "Creative"
},
"contributors": [
{
"first_name": "Christiaan",
"last_name": "van Baak"
},
{
"first_name": "Marius",
"last_name": "Stoica"
},
{
"first_name": "Arjen",
"last_name": "Grothe"
},
{
"first_name": "Gareth",
"last_name": "Davies"
},
{
"profile_id": "72970719-95c8-341b-80d2-afa9e7154baf",
"first_name": "Wout",
"last_name": "Krijgsman"
},
{
"profile_id": "3a4bfe2c-4098-3859-9b88-789fa993e05a",
"first_name": "Keith",
"last_name": "Richards"
},
{
"profile_id": "f1660f3c-ebbd-3289-8240-1f4ea7913df4",
"first_name": "Klaudia",
"last_name": "Kuiper"
},
{
"first_name": "Elmira",
"last_name": "Aliyeva"
}
],
"versions": [
{
"version": 1,
"publish_date": "2019-01-29T12:51:38.090Z",
"available": true
}
],
"files": [
{
"filename": "Appendix_A_Jeirankechmez_pmag_interpretations.dir",
"id": "f2f4cba7-2411-4737-a9b2-f094db30dca1",
"content_details": {
"id": "994bc865-5300-4d76-a373-e528ccd830e8",
"sha256_hash": "2427c4b077372760973ce8224694f2a2ee5383c7f022ad818164d847a20e27cc",
"sha1_hash": "73792dc6d6eb2c1de1e04926ba5d4420dd0aaece",
"content_type": "application/x-director",
"size": 917022,
"created_date": "2019-01-03T00:00:00.000Z"
"download_expiry_time": "2019-01-29T13:52:25.729Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
},
{
"filename": "Appendix_B_Sample_locations_susceptibility.xlsx",
"id": "64241bf0-5279-49e8-a505-be9075b910e1",
"content_details": {
"id": "af8809d0-8e63-4599-abaa-e7af9ad39959",
"sha256_hash": "0588f44a0cbd477aa2798323e57ce0b2d4a118e767c0b1ffdc9eb1017e4d23c2",
"sha1_hash": "02e89f6f197ebf495e1e2c3d1aab250efc7545e7",
"content_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"size": 24770,
"created_date": "2019-01-03T00:00:00.000Z"
,
"download_expiry_time": "2019-01-29T13:52:25.732Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
},
{
"filename": "Appendix_C_ArAr_data.xlsx",
"id": "2e912027-ff3f-48ad-98b9-b643b59ba0e3",
"content_details": {
"id": "4960377c-060d-41f6-b7af-150617d8ebeb",
"sha256_hash": "235dc32c1e99f350ee5c99908a5f5d72d1aeeab02f78c2e0181d585bd1880fa6",
"sha1_hash": "6483156e4577948cac5d2679eee862c76faed1c9",
"content_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"size": 18510,
"created_date": "2019-01-03T00:00:00.000Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
}
],
"articles": [
{
"id": "10.1016/j.gloplacha.2019.01.007",
"title": "Flooding of the Caspian Sea at the intensification of Northern Hemisphere Glaciations",
"doi": "10.1016/j.gloplacha.2019.01.007",
"journal": {
"issn": "0921-8181",
"name": "Global and Planetary Change",
"url": "http://www.sciencedirect.com/science/journal/09218181"
}
}
],
"categories": [
{
"id": "http://com/vocabulary/OmniScience/Concept-170590667",
"label": "Geology"
},
{
"id": "http://data.elsevier.com/vocabulary/OmniScience/Concept-473860195",
"label": "Strontium Isotope"
}
],
"institutions": [ ],
"metrics": {
},
"available": true,
"related_links": [ ]
}
I am using $contributors.profile_id from above json to call new endpoint(invokeshttp) (https://api.xxx.com/profile/$.profile_id)
Json response for this
"contributors": [
{
“profile_id”:”cedferfiherhforhforf”
"first_name": “xxx”,
"last_name": "van Baak”,
“other_ids”:[] ,
“Other info”: “deeded” }
I have to call this endpoint depending upon number of object in contributor(let say we have 5 object in contributor ,so I have to call this endpoint 5 time)and combine these 5 response together
Then I have to merge the response(above response to the main response )
just an example:
EvaluateJsonPath to extract "id" into attribute, later join by this attribute
SplitJson to split your json by "contributors"
call endpoint
MergeContent merge by "id" and with count after SplitJson
Related
Trying to follow the example here: https://stripe.com/docs/issuing/cards/virtual
When I add params.AddExpand("number"), no number is returned, yet via the dashboard I was able to see the card numbers. Here's sample code and redacted info for the Req and Resp.
func (ac *appContext) CardRetrieve(id string) *stripe.IssuingCard {
stripe.Key = ac.Config.Stripe.SecretKey
params := stripe.IssuingCardParams{}
params.AddExpand("number")
params.AddExpand("cvc")
ic_num, _ := card.Get(id, ¶ms)
return ic_num
}
Returns:
{
"id": "ic_redacted",
"object": "issuing.card",
"brand": "Visa",
"cancellation_reason": null,
"cardholder": {
"id": "ich_redacted",
"object": "issuing.cardholder",
"billing": {
"address": {
"city": "A Beach",
"country": "US",
"line1": "404 Main St.",
"line2": "Suite #302",
"postal_code": "19001",
"state": "DE"
}
},
"company": null,
"created": 1613338532,
"email": "redacted#notreal.com",
"individual": {
"dob": {
"day": 20,
"month": 10,
"year": 1990
},
"first_name": "User",
"last_name": "Testing",
"verification": {
"document": {
"back": null,
"front": null
}
}
},
"livemode": false,
"metadata": {
},
"name": "User Testing",
"phone_number": "+15165551212",
"requirements": {
"disabled_reason": "under_review",
"past_due": [
]
},
"spending_controls": {
"allowed_categories": [
],
"blocked_categories": [
],
"spending_limits": [
{
"amount": 1,
"categories": [
],
"interval": "daily"
}
],
"spending_limits_currency": "usd"
},
"status": "active",
"type": "individual"
},
"created": 1613338532,
"currency": "usd",
"exp_month": 1,
"exp_year": 2024,
"last4": "0088",
"livemode": false,
"metadata": {
},
"replaced_by": null,
"replacement_for": null,
"replacement_reason": null,
"shipping": null,
"spending_controls": {
"allowed_categories": null,
"blocked_categories": null,
"spending_limits": [
{
"amount": 1,
"categories": [
],
"interval": "daily"
}
],
"spending_limits_currency": "usd"
},
"status": "inactive",
"type": "virtual"
}
What confuses me is the documentation found here:
https://stripe.com/docs/issuing/cards/virtual
It says: You can retrieve both the full unredacted card number and CVC from the API. For security reasons, these fields are only available for virtual cards and will be omitted unless you explicitly request them with the expand property. Additionally, they are only available through the Retrieve a card endpoint. That links to the issue card retrieval end point, but the params defined in the virtual cards example references the CardParams{} struct.
No of the examples show what imported module their aliasing for card to exec card.Get, but it stands to reason given the flow of the documentation that this should be IssuingCardParams{} and that the card alias is referencing: "github.com/stripe/stripe-go/issuing/card"
I also find it strange that we're defining params in the example but not passing it into the card.Get()
Edit:
I went digging through the module and it seems like to get the card details you have to call: details, _ := card.Details(id, params) but I get a 404 when trying to call that. The object returned is actually the right object and I see number and cvc, albeit nil.
I get the following error:
2021/02/15 00:33:06 Request error from Stripe (status 404): {"status":404,"message":"Unrecognized request URL (GET: /v1/issuing/cards/ic_redacted/details). Please see https://stripe.com/docs
So it seems you need to include a /v72 in the import:
"github.com/stripe/stripe-go/v72"
The documentation should be updated to show this and the virtual card example for go should also be updated.
My NiFi application receives two kinda different types of JSON's.
First of them looks like:
[
{
"campaign": {
"resourceName": "customers/8952771329/campaigns/11381694617",
"status": "ENABLED",
"name": "Saint_Spring_Active Minerals_oct-nov_2020_trueview_skip_5766500views",
"id": "11381694617"
},
"metrics": {
"interactionEventTypes": [
"VIDEO_VIEW"
],
"clicks": "6",
"videoQuartileP100Rate": 0.44493171079034244,
"videoQuartileP25Rate": 0.9747718298919024,
"videoQuartileP50Rate": 0.7339309987701469,
"videoQuartileP75Rate": 0.5337562301767105,
"videoViewRate": 0.4471109114825628,
"videoViews": "27872",
"viewThroughConversions": "0",
"contentBudgetLostImpressionShare": 0.0000013066088274492382,
"contentImpressionShare": 0.0999,
"contentRankLostImpressionShare": 0.9001,
"conversionsValue": 0,
"conversions": 0,
"costMicros": "9338700950",
"ctr": 0.00009624947864865732,
"currentModelAttributedConversions": 0,
"currentModelAttributedConversionsValue": 0,
"engagementRate": 0,
"engagements": "0",
},
"segments": {
"device": "CONNECTED_TV",
"date": "2020-12-20"
}
}
]
And second:
[
{
"adGroup": {
"resourceName": "customers/5404177717/adGroups/110501283582",
"campaign": "customers/5404177717/campaigns/11628802542"
},
"metrics": {
"interactionEventTypes": [
"CLICK"
],
"clicks": "1",
"averageCpm": 95497428.02172929,
"gmailForwards": "0",
"gmailSaves": "0",
"gmailSecondaryClicks": "0",
"impressions": "4418",
"interactionRate": 0.00022634676324128565,
"interactions": "1"
},
"adGroupAd": {
"resourceName": "customers/5404177717/adGroupAds/110501283582~480227690139",
"status": "ENABLED",
"ad": {
"resourceName": "customers/5404177717/ads/480227690139",
"id": "480227690139",
"name": "20 sec perek"
},
"adGroup": "customers/5404177717/adGroups/110501283582"
},
"segments": {
"device": "DESKTOP",
"date": "2020-11-21"
}
}
]
I already have 2 tables in my database to save this data. I have an attribute table.name just to not create same block where's only table name is different.
My next block is FlattenJson. After this i'm using ReplaceText with search value (replacement value is empty string): (customers\\\/${client.customer.id}\\\/campaigns\\\/|customers\\\/${client.customer.id}\\\/adGroups\\\/).
Why this? From this line: "adGroup": "customers/5404177717/adGroups/110501283582" i only need last value 110501283582 as ad_group_id. And from this line: "campaign": "customers/5404177717/campaigns/11628802542" i only need 11628802542. ${client.customer.id} can be different, so i'm using EL features.
Also i need to change json value name adGroup to ad.group.id, for this i'm also using ReplaceText.
Can i do it faster without two ReplaceText processors?
Look at the following processors...I think using them can be an alternative:
JoltTransformJSON:
https://nifi.apache.org/docs/nifi-docs/components/org.apache.nifi/nifi-standard-nar/1.5.0/org.apache.nifi.processors.standard.JoltTransformJSON/
UpdateRecord:
https://nifi.apache.org/docs/nifi-docs/components/org.apache.nifi/nifi-standard-nar/1.5.0/org.apache.nifi.processors.standard.UpdateRecord/index.html
I had a task where I needed to compare and filter two JSON arrays based on the same values using one column of each array. So I used this answer of this question.
However, now I need to compare two JSON arrays matching two, or even three columns values.
I already tried to use one map inside other, however, it isn't working.
The examples could be the ones in the answer I used. Compare db.code = file.code, db.name = file.nm and db.id = file.identity
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
See if this works for you
%dw 2.0
output application/json
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
---
file flatMap(v) -> (
db filter (v.IDENTITY == $.ID and v.NM == $.NAME and v.CODE == $.CODE)
)
Using flatMap instead of map to flatten otherwise will get array of arrays in the output which is cleaner unless you are expecting a possibility of multiple matches per file entry, in which case I'd stick with map.
You can compare objects in DW directly, so the solution you linked can be modified to the following:
%dw 2.0
import * from dw::core::Arrays
output application/json
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
---
db partition (e) -> file contains {IDENTITY:e.ID,NM:e.NAME,CODE:e.CODE}
You can make use of filter directly and using contains
db filter(value) -> file contains {IDENTITY: value.ID, NM: value.NAME, CODE: value.CODE}
This tells you to filter the db array based on if the file contains the object {IDENTITY: value.ID, NM: value.NAME, CODE: value.CODE}. However, this will not work if objects in the file array has other fields that you will not use for comparison. Using above, you can update filter condition to check if an object in file array exist (using data selector) where the condition applies. You can use below to check that.
db filter(value) -> file[?($.IDENTITY==value.ID and $.NM == value.NAME and $.CODE == value.CODE)] != null
Want to use Google Places API nearby search for reverse lookup using coordinates.
I use nearbysearch endpoint.
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-33.892674%2C151.200727&rankby=distance&type=bar&key=...
What is missing is formatted_address.
When trying to use textsearch instead, I do get formatted_address.
https://maps.googleapis.com/maps/api/place/textsearch/json?location=-33.892674%2C151.200727&rankby=distance&type=bar&key=...
Both return the same first place_id and look very similar.
Differences I noticed:
textsearch: formatted_address, empty opening_hours are included
nearbysearch: vicinity, scope, empty opening_hours are not included
How do I get formatted_address?
Update: I checked and both types should return the same fields.
details
When searching by distance & type I guess I could use either nearbysearch or textsearch, but when searching by prominence I will have to use nearbysearch as textsearch requires either type or query.
The query I would like to use (using nearbysearch, so missing formatted_address):
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-33.892674%2C151.200727&rankby=prominence&radius=500&key=...
Full output textsearch
{
"business_status": "OPERATIONAL",
"formatted_address": "7 Cope St, Redfern NSW 2016",
"geometry": {
"location": {
"lat": -33.892682,
"lng": 151.20075
},
"viewport": {
"northeast": {
"lat": -33.89147812010727,
"lng": 151.2019769298927
},
"southwest": {
"lat": -33.89417777989272,
"lng": 151.1992772701072
}
}
},
"icon": "https://maps.gstatic.com/mapfiles/place_api/icons/bar-71.png",
"id": "d8b3f319ad00fafd66527b248e450284a53386c2",
"name": "Arcadia",
"opening_hours": {
"open_now": true
},
"photos": [
{
"height": 3000,
"html_attributions": [
"Colin Hannah"
],
"photo_reference": "CmRaAAAAvnYeIFoCoiiQoyRqKQqpz1yJK71eXM3wYuCiTFTTtj3iwTiIW_z865AfLogqMiEyyBh5GqZoxAcHDmzyE8KelhGEh3C-ggm5LQDGK4zFWxdTNCholvXurq0ce7zLoztgEhBgklqzYxK5jhDhwqB5wuabGhQRUb448z5zV9l7EDSmXLMo5icv1w",
"width": 4000
}
],
"place_id": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"plus_code": {
"compound_code": "4642+W7 Redfern, New South Wales",
"global_code": "4RRH4642+W7"
},
"price_level": 2,
"rating": 4.5,
"reference": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"types": [
"bar",
"point_of_interest",
"establishment"
],
"user_ratings_total": 279
},
Full output nearbysearch:
{
"business_status": "OPERATIONAL",
"geometry": {
"location": {
"lat": -33.892682,
"lng": 151.20075
},
"viewport": {
"northeast": {
"lat": -33.8914789697085,
"lng": 151.2019760802915
},
"southwest": {
"lat": -33.89417693029149,
"lng": 151.1992781197085
}
}
},
"icon": "https://maps.gstatic.com/mapfiles/place_api/icons/bar-71.png",
"id": "d8b3f319ad00fafd66527b248e450284a53386c2",
"name": "Arcadia",
"opening_hours": {
"open_now": true
},
"photos": [
{
"height": 3024,
"html_attributions": [
"Milan"
],
"photo_reference": "CmRaAAAA7u4ZpZOddZ8ypuGySsQ1lG0HEX4Ke0DHeYtHYN1gEchx-yf1U-DVLNHVdmFVLoocHbMmWlMVCqcW9oMnpDC4-dw6ObZAovVQG90GpVD3sYeMEpzBB80yjhttjZ1lsIEdEhCzQJane_k8xy-HlI9ZlE9WGhQJ13KgR88Q239e8ocBCt5H0BgpKQ",
"width": 4032
}
],
"place_id": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"plus_code": {
"compound_code": "4642+W7 Redfern NSW, Australia",
"global_code": "4RRH4642+W7"
},
"price_level": 2,
"rating": 4.5,
"reference": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"scope": "GOOGLE", <===========
"types": [
"bar",
"point_of_interest",
"establishment"
],
"user_ratings_total": 279,
"vicinity": "7 Cope Street, Redfern" <===========
},
Comment from #MrUpsidown points to the documentation where it is stated:
A Text Search response is similar, except that it returns a formatted_address instead of a vicinity property
So, it seems that's just the way it is.
"formatted_address": "7 Cope St, Redfern NSW 2016",
vs
"vicinity": "7 Cope Street, Redfern"
Yammer Activity Stream is available at:
https://www.yammer.com/api/v1/streams/activities.json?access_token=
This successfully results in all the recent activities like:
{
"items": [
{
"id": "/users/www.yammer.com-341514-1508953644/rollups/45191477209921-45191477209921",
"unseen": true,
"icon": "/images/notifications/page_add.png",
"icon_name": null,
"category": "file-create",
"message": "[[user:1508783078]] uploaded [[uploaded_file:24511980]].",
"heading": "",
"created_at": "2014/10/02 07:07:42 +0000",
"objects": [],
"actions": [],
"subject": {
"type": "uploaded_file",
"id": 24511980
},
"meta": null,
"client_type": "unknown",
"client_url": "https://www.yammer.com",
"client_icon": "https://mug0.assets-yammer.com/mugshot/images/16x16/3rd_party.png",
"client_large_icon": "https://mug0.assets-yammer.com/mugshot/images/75x75/3rd_party.png",
"image": "https://mug0.assets-yammer.com/mugshot/images/48x48/no_photo.png",
"third_party": false
},
{
"id": "/users/www.yammer.com-341514-1508953644/rollups/45191475863746-45191475863746",
"unseen": true,
"icon": "/images/notifications/page_add.png",
"icon_name": "page",
"category": "file-download",
"message": "[[user:1508783078]] downloaded [[uploaded_file:24373320]] from the [[group:3455089]] group.",
"heading": "",
"created_at": "2014/10/02 07:07:00 +0000",
"objects": [
{
"id": 24373320,
"type": "uploaded_file"
}
],
"actions": [],
"subject": {
"type": "uploaded_file",
"id": 24373320
},
"meta": null,
"client_type": "unknown",
"client_url": "https://www.yammer.com",
"client_icon": "https://mug0.assets-yammer.com/mugshot/images/16x16/3rd_party.png",
"client_large_icon": "https://mug0.assets-yammer.com/mugshot/images/75x75/3rd_party.png",
"image": "https://mug0.assets-yammer.com/mugshot/images/48x48/no_photo.png",
"third_party": false
},
]}
QUESTION:
I am trying to get all the recent activities after a certain time-stamp or after a certain offset. Is there any query parameter for that?
this is
older_than="/users/www.yammer.com-341514-1508953644/rollups/45191475863746-45191475863746"
that would return all the activities older than the last activities you shew in your sample return value