mirror of
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259 lines
6.6 KiB
Markdown
259 lines
6.6 KiB
Markdown
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title = "JSON (mini) query"
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[extra]
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mktoc = true
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hidden = true
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+++
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A "JSON mini query" is a simple expression that evaluates to `true` or
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`false` for any given JSON value.
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It is used in docspell to filter notification events.
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The examples shown here assume the JSON at [the end of this
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page](#sample-json).
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# Structure
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A json mini query is a sequence of "segments" where each one selects
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contents from the "current result". The current result is always a
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list of JSON values and starts out with a single element list
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containing the given root JSON document.
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When the expression is applied, it is read from left to right where
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each segment is evaluated against the JSON. All results are always
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aggregated into a single list which is handed to the next segment as
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input. Each segment of the expression is always applied to every
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element in the list.
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The expression evaluates to `true` if the final result is non-empty
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and to `false` otherwise. So the actual values selected at the and are
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not really of interest. It only matters if the last result is the
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empty list or not.
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There are the following possible segments:
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- selecting fields: `fieldname[,fieldname2,…]`
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- selecting specific array elements: `(0[,1,…])`
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- filter list of nodes against given values: `=some-value`,
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`!some-value`
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- combining the above (sequence, `&` and `|`)
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## Field selection
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The simplest segment is just a field name. It looks up the field name
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in the current JSON result and replaces each element in the result
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with the value at that field.
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```
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query: a
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current result: [{"a":1,"b":2}, {"a":5, "b":2}]
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next result: [1, 5]
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```
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You can select multiple fields at once by separating names by comma.
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This simply combines all results into a list:
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```
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query: a,b
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current result: [{"a":1,"b":2}, {"a":5, "b":2}]
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next result: [1, 2, 5, 2]
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```
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You can use dot-notation combining several field selection segments to
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select elements deeper in the JSON:
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```
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query: a.b.x,y
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current result:
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[{"a": {"b": {"x": 1, "y": 2}}, "v": 0},
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{"a": {"b": {"y": 9, "b": 2}}, "z": 0}]
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next result: [1, 2, 9]
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```
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## Array selection
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When looking at an array, you can select specific elements by their
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indexes. To distinguish it from field selection, you must surround it
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by parens:
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```
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query: (0,2)
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current result: [[1,2,3,4]]
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next result: [1,3]
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```
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If you combine field selection and array selection, keep in mind that
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a previous field selection combines both arrays into one before array
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selection is used!
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```
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query: a(0,2)
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current result: [{"a": [10,9,8,7]}, {"a": [1,2,3,4]}]
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next result: [10,8]
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```
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## Matching Values
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You can filter elements of the current result based on their value.
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This only works for primitive elements.
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- equals (case insensitive): `=`
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- not equals (case insensitive): `!`
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Values can be given either as a simple string or, should it contain
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whitespace or brackets/parens, you need to enclose it either in single
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or double quotes. If you want to check for `null` use the special
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`*null*` value.
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The match will be applied to all elements in the current result and
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filters out those that don't match.
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```
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query: =blue
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current result: ["blue", "green", "red"]
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next result: ["blue"]
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```
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```
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query: color=blue
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current result:
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[{"color": "blue", "count": 2},
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{"color": "blue", "count": 1},
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{"color": "red", "count": 3}]
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next result:["blue", "blue"]
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```
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## Combining
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The above expressions can be combined by writing one after the other,
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sequencing them. This has been shown in some examples above. The next
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segment will be applied to the result of the previous segment. When
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sequencing field names they must be separated by a dot.
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Another form is to combine several expressions using `&` or `|`. The
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results of all sub expressions will be concatenated into a single
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list. When using `&`, results are only concatenated if all lists are
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not empty; otherwise the result is the empty list.
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This example filters all `count` equal to `6` and all `name` equal to
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`max`. Since there are now `count`s with value `6`, the final result
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is empty.
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```
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query: [count=6 & name=max]
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current result:
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[{"name":"max", "count":4},
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{"name":"me", "count": 3},
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{"name":"max", "count": 3}
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]
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next result: []
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```
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Using `|` for combining lets all the `max` values through:
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```
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query: [count=6 & name=max]
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current result:
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[{"name":"max", "count":4},
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{"name":"me", "count": 3},
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{"name":"max", "count": 3}
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]
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next result: ["max", "max"]
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```
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## Example walkthrough
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Let's look at an example:
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```
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content.added,removed[name=Invoice | category=expense]
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```
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Starting out with the root JSON document, a list is created containing
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it as the only element:
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```
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( {"eventType": "TagsChanged", "content: {…}, …} )
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```
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Then the field `content` is selected. This changes the list to contain
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this sub-document:
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```
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( {"account": "demo", "added":[…], "removed":[…], …} )
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```
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Then two fields are selected. They both select arrays. Both results
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are combined into a single list and arrays are flattened. So the
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result after `content.added,removed` looks like this:
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```
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( {"id":"Fy4…",name="…",category="…"}, {"id":"7zae…",…}, {"id":"GbXg…",…} )
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```
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At last, the remaining elements are filtered. It resolve all `name`
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fields and keeps only `invoice` values. It also resolves `category`
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and keeps only `expense` values. Both lists are then concatenated into
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one. The final result is then `["Invoice", "expense"]`, which matches
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the sample json data below.
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# Sample JSON
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Some examples assume the following JSON:
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```json
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{
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"eventType": "TagsChanged",
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"account": {
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"collective": "demo",
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"user": "demo",
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"login": "demo"
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},
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"content": {
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"account": "demo",
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"items": [
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{
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"id": "4PvMM4m7Fwj-FsPRGxYt9zZ-uUzi35S2rEX-usyDEVyheR8",
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"name": "MapleSirupLtd_202331.pdf",
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"dateMillis": 1633557740733,
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"date": "2021-10-06",
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"direction": "incoming",
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"state": "confirmed",
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"dueDateMillis": 1639173740733,
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"dueDate": "2021-12-10",
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"source": "webapp",
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"overDue": false,
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"dueIn": "in 3 days",
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"corrOrg": "Acme AG",
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"notes": null
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}
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],
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"added": [
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{
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"id": "Fy4VC6hQwcL-oynrHaJg47D-Q5RiQyB5PQP-N5cFJ368c4N",
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"name": "Invoice",
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"category": "doctype"
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},
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{
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"id": "7zaeU6pqVym-6Je3Q36XNG2-ZdBTFSVwNjc-pJRXciTMP3B",
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"name": "Grocery",
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"category": "expense"
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}
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],
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"removed": [
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{
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"id": "GbXgszdjBt4-zrzuLHoUx7N-RMFatC8CyWt-5dsBCvxaEuW",
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"name": "Receipt",
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"category": "doctype"
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}
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],
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"itemUrl": "http://localhost:7880/app/item"
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}
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}
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```
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