Documentation
¶
Index ¶
Constants ¶
This section is empty.
Variables ¶
View Source
var AllStreamers = []byte(`{
"return": {
"entities": [
2,
3
],
"relations": [
1,
14
],
"groupBys": [
6,
7,
21
]
},
"entities": [
{
"name": "Streamer",
"ID": 2,
"constraints": []
},
{
"name": "Streamer",
"ID": 3,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "viewerOverlap",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 14,
"name": "viewerOverlap",
"depth": {
"min": 1,
"max": 1
},
"fromType": "groupBy",
"fromID": 6,
"toType": "groupBy",
"toID": 7,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "Count",
"byType": "entity",
"byID": [
3
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 1,
"constraints": []
},
{
"ID": 7,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "Count",
"byType": "entity",
"byID": [
3
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 1,
"constraints": []
},
{
"ID": 21,
"groupType": "groupBy",
"groupID": [
6
],
"groupAttribute": "Count",
"byType": "groupBy",
"byID": [
7
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 14,
"constraints": []
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var AllStreamersResult = string(`LET tree_0 = (
FOR e_2 IN Streamer
LET e3 = (
FOR e_3 IN Streamer
FOR r1 IN viewerOverlap
FILTER r1._from == e_2._id AND r1._to == e_3._id
FILTER length(e_3) != 0 AND length(r1) != 0
RETURN {"e3": union_distinct([e_3], []), "r1": union_distinct([r1], [])}
)
FILTER length(e3) != 0 AND length(e_2) != 0
RETURN {"e3": union_distinct(flatten(e3[**].e3), []), "r1": union_distinct(flatten(e3[**].r1), []), "e2": union_distinct([e_2], [])}
)
LET gt6 = (
FOR x IN viewerOverlap
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e3), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e2), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.Count
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g6 = (
FOR x IN gt6
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
RETURN {
_id: c,
modifier: variable_0
}
)
LET in6 = (
FOR x IN g6[**]._id
FOR y IN Streamer
FILTER x == y._id
RETURN y
)
LET gt7 = (
FOR x IN viewerOverlap
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e3), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e2), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.Count
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g7 = (
FOR x IN gt7
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
RETURN {
_id: c,
modifier: variable_0
}
)
LET in7 = (
FOR x IN g7[**]._id
FOR y IN Streamer
FILTER x == y._id
RETURN y
)
LET tree_1 = (
FOR g_6 IN in6
LET gb7 = (
FOR g_7 IN in7
FOR r14 IN viewerOverlap
FILTER r14._from == g_6._id AND r14._to == g_7._id
FILTER length(g_7) != 0 AND length(r14) != 0
RETURN {"gb7": union_distinct([g_7], []), "r14": union_distinct([r14], [])}
)
FILTER length(gb7) != 0 AND length(g_6) != 0
RETURN {"gb6": union_distinct([g_6], []), "gb7": union_distinct(flatten(gb7[**].gb7), []), "r14": union_distinct(flatten(gb7[**].r14), [])}
)
LET gt21 = (
FOR x IN viewerOverlap
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].gb7), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_1[**].gb6), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.Count
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g21 = (
FOR x IN gt21
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
RETURN {
_id: c,
modifier: variable_0
}
)
FOR x in g21
RETURN {group: x.modifier, by: x._id}`)
View Source
var BoolEqual = []byte(`{
"return": {
"entities": [
8,
9
],
"relations": [
7
],
"groupBys": []
},
"entities": [
{
"name": "parliament",
"ID": 8,
"constraints": []
},
{
"name": "parties",
"ID": 9,
"constraints": []
}
],
"relations": [
{
"ID": 7,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 8,
"toType": "entity",
"toID": 9,
"constraints": [
{
"attribute": "isChairman",
"value": "true",
"dataType": "bool",
"matchType": "EQ"
}
]
}
],
"groupBys": [],
"machineLearning": [],
"limit": 5000
}`)
View Source
var BoolEqualResult = string(`LET tree_0 = (
FOR e_8 IN parliament
LET e9 = (
FOR e_9 IN parties
FOR r7 IN member_of
FILTER r7.isChairman == true
FILTER r7._from == e_8._id AND r7._to == e_9._id
FILTER length(e_9) != 0 AND length(r7) != 0
RETURN {"e9": union_distinct([e_9], []), "r7": union_distinct([r7], [])}
)
FILTER length(e9) != 0 AND length(e_8) != 0
RETURN {"e8": union_distinct([e_8], []), "e9": union_distinct(flatten(e9[**].e9), []), "r7": union_distinct(flatten(e9[**].r7), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e8), flatten(tree_0[**].e9), [])
LET edges = union_distinct(flatten(tree_0[**].r7), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var BoolNotEqual = []byte(`{
"return": {
"entities": [
8,
9
],
"relations": [
7
],
"groupBys": []
},
"entities": [
{
"name": "parliament",
"ID": 8,
"constraints": []
},
{
"name": "parties",
"ID": 9,
"constraints": []
}
],
"relations": [
{
"ID": 7,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 8,
"toType": "entity",
"toID": 9,
"constraints": [
{
"attribute": "isChairman",
"value": "true",
"dataType": "bool",
"matchType": "NEQ"
}
]
}
],
"groupBys": [],
"machineLearning": [],
"limit": 5000
}`)
View Source
var BoolNotEqualResult = string(`LET tree_0 = (
FOR e_8 IN parliament
LET e9 = (
FOR e_9 IN parties
FOR r7 IN member_of
FILTER r7.isChairman != true
FILTER r7._from == e_8._id AND r7._to == e_9._id
FILTER length(e_9) != 0 AND length(r7) != 0
RETURN {"e9": union_distinct([e_9], []), "r7": union_distinct([r7], [])}
)
FILTER length(e9) != 0 AND length(e_8) != 0
RETURN {"e8": union_distinct([e_8], []), "e9": union_distinct(flatten(e9[**].e9), []), "r7": union_distinct(flatten(e9[**].r7), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e9), flatten(tree_0[**].e8), [])
LET edges = union_distinct(flatten(tree_0[**].r7), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var DifferentNodesOnGroupBy = []byte(`{
"return": {
"entities": [
2,
3,
11,
12
],
"relations": [
1,
10
],
"groupBys": [
6
]
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "commissions",
"ID": 3,
"constraints": []
},
{
"name": "parliament",
"ID": 11,
"constraints": []
},
{
"name": "parties",
"ID": 12,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 10,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 11,
"toType": "entity",
"toID": 12,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
3,
11
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
3,
12
],
"byAttribute": "_id",
"appliedModifier": "avg",
"relationID": 1,
"constraints": []
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var DoubleJunctionNineEntitiesThreeEntityFilters = []byte(`{
"return": {
"entities": [
0,
1,
2,
3,
4,
5,
6,
7
],
"relations": [
0,
1,
2,
3,
4,
5,
6
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "Geert",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "commissions",
"ID": 1,
"constraints": []
},
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "resolutions",
"ID": 4,
"constraints": [
{
"attribute": "date",
"value": "mei",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "resolutions",
"ID": 5,
"constraints": []
},
{
"name": "parties",
"ID": 6,
"constraints": []
}
,
{
"name": "parliament",
"ID": 7,
"constraints": []
}
],
"groupBys": [],
"relations": [
{
"ID": 0,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 0,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 2,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 3,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 4,
"constraints": []
},
{
"ID": 4,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 0,
"toType": "entity",
"toID": 5,
"constraints": []
},
{
"ID": 5,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 0,
"toType": "entity",
"toID": 6,
"constraints": []
}
,
{
"ID": 6,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 7,
"toType": "entity",
"toID": 6,
"constraints": []
}
],
"limit": 5000
}`)
View Source
var DoubleJunctionNineEntitiesThreeEntityFiltersResult = string(`LET tree_0 = (
FOR e_3 IN parties
FILTER e_3.seats < 10
LET e2 = (
FOR e_2 IN parliament
FOR r2 IN member_of
FILTER r2._from == e_2._id AND r2._to == e_3._id
LET e1 = (
FOR e_1 IN commissions
FOR r1 IN part_of
FILTER r1._from == e_2._id AND r1._to == e_1._id
LET e0 = (
FOR e_0 IN parliament
FOR r0 IN part_of
FILTER e_0.name LIKE "%Geert%"
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e5 = (
FOR e_5 IN resolutions
FOR r4 IN submits
FILTER r4._from == e_0._id AND r4._to == e_5._id
FILTER length(e_5) != 0 AND length(r4) != 0
RETURN {"e5": union_distinct([e_5], []), "r4": union_distinct([r4], [])}
)
LET e6 = (
FOR e_6 IN parties
FOR r5 IN member_of
FILTER r5._from == e_0._id AND r5._to == e_6._id
LET e7 = (
FOR e_7 IN parliament
FOR r6 IN member_of
FILTER r6._from == e_7._id AND r6._to == e_6._id
FILTER length(e_7) != 0 AND length(r6) != 0
RETURN {"e7": union_distinct([e_7], []), "r6": union_distinct([r6], [])}
)
FILTER length(e7) != 0 AND length(e_6) != 0 AND length(r5) != 0
RETURN {"e6": union_distinct([e_6], []), "e7": union_distinct(flatten(e7[**].e7), []), "r6": union_distinct(flatten(e7[**].r6), []), "r5": union_distinct([r5], [])}
)
FILTER length(e5) != 0 AND length(e6) != 0 AND length(e_0) != 0 AND length(r0) != 0
RETURN {"e0": union_distinct([e_0], []), "r0": union_distinct([r0], []), "r6": union_distinct(flatten(e6[**].r6), []), "r4": union_distinct(flatten(e5[**].r4), []), "r5": union_distinct(flatten(e6[**].r5), []), "r6": union_distinct(flatten(e6[**].r6), []), "e5": union_distinct(flatten(e5[**].e5), []), "e6": union_distinct(flatten(e6[**].e6), []), "e7": union_distinct(flatten(e6[**].e7), [])}
)
FILTER length(e0) != 0 AND length(e_1) != 0 AND length(r1) != 0
RETURN {"e1": union_distinct([e_1], []), "r6": union_distinct(flatten(e0[**].r6), []), "r0": union_distinct(flatten(e0[**].r0), []), "r4": union_distinct(flatten(e0[**].r4), []), "r5": union_distinct(flatten(e0[**].r5), []), "r6": union_distinct(flatten(e0[**].r6), []), "e5": union_distinct(flatten(e0[**].e5), []), "e6": union_distinct(flatten(e0[**].e6), []), "e7": union_distinct(flatten(e0[**].e7), []), "e0": union_distinct(flatten(e0[**].e0), []), "r1": union_distinct([r1], [])}
)
LET e4 = (
FOR e_4 IN resolutions
FOR r3 IN submits
FILTER e_4.date LIKE "%mei%"
FILTER r3._from == e_2._id AND r3._to == e_4._id
FILTER length(e_4) != 0 AND length(r3) != 0
RETURN {"e4": union_distinct([e_4], []), "r3": union_distinct([r3], [])}
)
FILTER length(e1) != 0 AND length(e4) != 0 AND length(e_2) != 0 AND length(r2) != 0
RETURN {"e2": union_distinct([e_2], []), "r2": union_distinct([r2], []), "r6": union_distinct(flatten(e1[**].r6), []), "r0": union_distinct(flatten(e1[**].r0), []), "r5": union_distinct(flatten(e1[**].r5), []), "r4": union_distinct(flatten(e1[**].r4), []), "r1": union_distinct(flatten(e1[**].r1), []), "e1": union_distinct(flatten(e1[**].e1), []), "e0": union_distinct(flatten(e1[**].e0), []), "e7": union_distinct(flatten(e1[**].e7), []), "e6": union_distinct(flatten(e1[**].e6), []), "e5": union_distinct(flatten(e1[**].e5), []), "r3": union_distinct(flatten(e4[**].r3), []), "e4": union_distinct(flatten(e4[**].e4), [])}
)
FILTER length(e2) != 0 AND length(e_3) != 0
RETURN {"e0": union_distinct(flatten(e2[**].e0), []), "e1": union_distinct(flatten(e2[**].e1), []), "e2": union_distinct(flatten(e2[**].e2), []), "e3": union_distinct([e_3], []), "e4": union_distinct(flatten(e2[**].e4), []), "e5": union_distinct(flatten(e2[**].e5), []), "e6": union_distinct(flatten(e2[**].e6), []), "e7": union_distinct(flatten(e2[**].e7), []), "r0": union_distinct(flatten(e2[**].r0), []), "r1": union_distinct(flatten(e2[**].r1), []), "r2": union_distinct(flatten(e2[**].r2), []), "r3": union_distinct(flatten(e2[**].r3), []), "r4": union_distinct(flatten(e2[**].r4), []), "r5": union_distinct(flatten(e2[**].r5), []), "r6": union_distinct(flatten(e2[**].r6), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), flatten(tree_0[**].e2), flatten(tree_0[**].e3), flatten(tree_0[**].e4), flatten(tree_0[**].e5), flatten(tree_0[**].e6), flatten(tree_0[**].e7), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), flatten(tree_0[**].r2), flatten(tree_0[**].r3), flatten(tree_0[**].r4), flatten(tree_0[**].r5), flatten(tree_0[**].r6), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var EmptyQueryResult = string(`LET nodes = first(RETURN UNION_DISTINCT([],[]))
LET edges = first(RETURN UNION_DISTINCT([],[]))
RETURN {"vertices":nodes, "edges":edges }`)
View Source
var FiveEntitiesFourEntityFilters = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2,
3,
4
],
"relations": [
0,
1,
2,
3
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "A",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "parties",
"ID": 1,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "resolutions",
"ID": 2,
"constraints": [
{
"attribute": "date",
"value": "mei",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "parliament",
"ID": 3,
"constraints":[]
},
{
"name": "parties",
"ID": 4,
"constraints": [
{
"attribute": "name",
"value": "Volkspartij voor Vrijheid en Democratie",
"dataType": "string",
"matchType": "=="
}
]
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 1,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 2,
"constraints": []
},
{
"ID": 2,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 3,
"toType": "entity",
"toID": 2,
"constraints": []
},
{
"ID": 3,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 3,
"toType": "entity",
"toID": 4,
"constraints": []
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var FiveEntitiesFourEntityFiltersResult = string(`LET tree_0 = (
FOR e_1 IN parties
FILTER e_1.seats < 10
LET e0 = (
FOR e_0 IN parliament
FOR r0 IN member_of
FILTER e_0.name LIKE "%A%"
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e2 = (
FOR e_2 IN resolutions
FOR r1 IN submits
FILTER e_2.date LIKE "%mei%"
FILTER r1._from == e_0._id AND r1._to == e_2._id
LET e3 = (
FOR e_3 IN parliament
FOR r2 IN submits
FILTER r2._from == e_3._id AND r2._to == e_2._id
LET e4 = (
FOR e_4 IN parties
FOR r3 IN member_of
FILTER e_4.name == "Volkspartij voor Vrijheid en Democratie"
FILTER r3._from == e_3._id AND r3._to == e_4._id
FILTER length(e_4) != 0 AND length(r3) != 0
RETURN {"e4": union_distinct([e_4], []), "r3": union_distinct([r3], [])}
)
FILTER length(e4) != 0 AND length(e_3) != 0 AND length(r2) != 0
RETURN {"e3": union_distinct([e_3], []), "e4": union_distinct(flatten(e4[**].e4), []), "r2": union_distinct([r2], []), "r3": union_distinct(flatten(e4[**].r3), [])}
)
FILTER length(e3) != 0 AND length(e_2) != 0 AND length(r1) != 0
RETURN {"e2": union_distinct([e_2], []), "e3": union_distinct(flatten(e3[**].e3), []), "e4": union_distinct(flatten(e3[**].e4), []), "r1": union_distinct([r1], []), "r2": union_distinct(flatten(e3[**].r2), []), "r3": union_distinct(flatten(e3[**].r3), [])}
)
FILTER length(e2) != 0 AND length(e_0) != 0 AND length(r0) != 0
RETURN {"e0": union_distinct([e_0], []), "e2": union_distinct(flatten(e2[**].e2), []), "e3": union_distinct(flatten(e2[**].e3), []), "e4": union_distinct(flatten(e2[**].e4), []), "r0": union_distinct([r0], []), "r1": union_distinct(flatten(e2[**].r1), []), "r2": union_distinct(flatten(e2[**].r2), []), "r3": union_distinct(flatten(e2[**].r3), [])}
)
FILTER length(e0) != 0 AND length(e_1) != 0
RETURN {"e1": union_distinct([e_1], []), "e0": union_distinct(flatten(e0[**].e0), []), "e2": union_distinct(flatten(e0[**].e2), []), "e3": union_distinct(flatten(e0[**].e3), []), "e4": union_distinct(flatten(e0[**].e4), []), "r0": union_distinct(flatten(e0[**].r0), []), "r1": union_distinct(flatten(e0[**].r1), []), "r2": union_distinct(flatten(e0[**].r2), []), "r3": union_distinct(flatten(e0[**].r3), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), flatten(tree_0[**].e2), flatten(tree_0[**].e3), flatten(tree_0[**].e4), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), flatten(tree_0[**].r2), flatten(tree_0[**].r3), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var HierarchyBasic = []byte(`{
"return": {
"entities": [
0,
1,
2,
3,
4
],
"relations": [
0,
1,
2,
3
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "Geert",
"dataType": "string",
"matchType": "CONTAINS"
}
]
},
{
"name": "commissions",
"ID": 1,
"constraints": []
},
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "resolutions",
"ID": 4,
"constraints": [
{
"attribute": "date",
"value": "mei",
"dataType": "string",
"matchType": "CONTAINS"
}
]
}
],
"groupBys": [],
"relations": [
{
"ID": 0,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 0,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 2,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 3,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 4,
"constraints": []
}
],
"limit": 5000
}
`)
View Source
var IncorrectGroupByModifier = []byte(`{
"return": {
"entities": [
2,
3
],
"relations": [
1
],
"groupBys": [
6
]
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "commissions",
"ID": 3,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
3
],
"byAttribute": "_id",
"appliedModifier": "wibblywobbly",
"relationID": 1,
"constraints": []
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var IncorrectRelationFrom = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": -4,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var IntNotEquals = []byte(`{
"return": {
"entities": [
2,
3
],
"relations": [
1
],
"groupBys": []
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": [
{
"attribute": "seniority",
"value": "57",
"dataType": "int",
"matchType": "NEQ"
}
]
},
{
"name": "parties",
"ID": 3,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
}
],
"groupBys": [],
"machineLearning": [],
"limit": 5000
}`)
View Source
var IntNotEqualsResult = string(`LET tree_0 = (
FOR e_2 IN parliament
FILTER e_2.seniority != 57
LET e3 = (
FOR e_3 IN parties
FOR r1 IN member_of
FILTER r1._from == e_2._id AND r1._to == e_3._id
FILTER length(e_3) != 0 AND length(r1) != 0
RETURN {"e3": union_distinct([e_3], []), "r1": union_distinct([r1], [])}
)
FILTER length(e3) != 0 AND length(e_2) != 0
RETURN {"e2": union_distinct([e_2], []), "e3": union_distinct(flatten(e3[**].e3), []), "r1": union_distinct(flatten(e3[**].r1), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e3), flatten(tree_0[**].e2), [])
LET edges = union_distinct(flatten(tree_0[**].r1), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var MultipleInputGroupBy = []byte(`{
"return": {
"entities": [43, 44, 48, 49, 73],
"relations": [42, 47, 71],
"groupBys": [31]
},
"entities": [
{
"name": "parliament",
"ID": 43,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "parties",
"ID": 44,
"constraints": [
{
"attribute": "seats",
"value": "6",
"dataType": "int",
"matchType": "GT"
}
]
},
{
"name": "parliament",
"ID": 48,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"name": "parties",
"ID": 49,
"constraints": [
{
"attribute": "seats",
"value": "6",
"dataType": "int",
"matchType": "LET"
}
]
},
{ "name": "parliament", "ID": 73, "constraints": [] }
],
"relations": [
{
"ID": 42,
"name": "member_of",
"depth": { "min": 1, "max": 1 },
"fromType": "entity",
"fromID": 43,
"toType": "entity",
"toID": 44,
"constraints": []
},
{
"ID": 47,
"name": "member_of",
"depth": { "min": 1, "max": 1 },
"fromType": "entity",
"fromID": 48,
"toType": "entity",
"toID": 49,
"constraints": []
},
{
"ID": 71,
"name": "member_of",
"depth": { "min": 1, "max": 1 },
"fromType": "entity",
"fromID": 73,
"toType": "groupBy",
"toID": 31,
"constraints": []
}
],
"groupBys": [
{
"ID": 31,
"groupType": "entity",
"groupID": [43, 48],
"groupAttribute": "age",
"byType": "entity",
"byID": [49, 44],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 47,
"constraints": [
{
"attribute": "age",
"value": "40",
"dataType": "int",
"matchType": "GET"
}
]
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var MultipleInputGroupByEndpoint = []byte(`{
"return": {
"entities": [43, 44, 48, 49],
"relations": [42, 47],
"groupBys": [31]
},
"entities": [
{
"name": "parliament",
"ID": 43,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "parties",
"ID": 44,
"constraints": [
{
"attribute": "seats",
"value": "6",
"dataType": "int",
"matchType": "GT"
}
]
},
{
"name": "parliament",
"ID": 48,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"name": "parties",
"ID": 49,
"constraints": [
{
"attribute": "seats",
"value": "6",
"dataType": "int",
"matchType": "LET"
}
]
}
],
"relations": [
{
"ID": 42,
"name": "member_of",
"depth": { "min": 1, "max": 1 },
"fromType": "entity",
"fromID": 43,
"toType": "entity",
"toID": 44,
"constraints": []
},
{
"ID": 47,
"name": "member_of",
"depth": { "min": 1, "max": 1 },
"fromType": "entity",
"fromID": 48,
"toType": "entity",
"toID": 49,
"constraints": []
}
],
"groupBys": [
{
"ID": 31,
"groupType": "entity",
"groupID": [43, 48],
"groupAttribute": "age",
"byType": "entity",
"byID": [49, 44],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 47,
"constraints": [
{
"attribute": "age",
"value": "40",
"dataType": "int",
"matchType": "GET"
}
]
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var MultipleInputGroupByEndpointResult = string(`LET tree_0 = (
FOR e_43 IN parliament
FILTER e_43.age < 42
LET e44 = (
FOR e_44 IN parties
FOR r42 IN member_of
FILTER e_44.seats > 6
FILTER r42._from == e_43._id AND r42._to == e_44._id
FILTER length(e_44) != 0 AND length(r42) != 0
RETURN {"e44": union_distinct([e_44], []), "r42": union_distinct([r42], [])}
)
FILTER length(e44) != 0 AND length(e_43) != 0
RETURN {"e43": union_distinct([e_43], []), "e44": union_distinct(flatten(e44[**].e44), []), "r42": union_distinct(flatten(e44[**].r42), [])}
)
LET tree_1 = (
FOR e_48 IN parliament
FILTER e_48.age >= 42
LET e49 = (
FOR e_49 IN parties
FOR r47 IN member_of
FILTER e_49.seats <= 6
FILTER r47._from == e_48._id AND r47._to == e_49._id
FILTER length(e_49) != 0 AND length(r47) != 0
RETURN {"e49": union_distinct([e_49], []), "r47": union_distinct([r47], [])}
)
FILTER length(e49) != 0 AND length(e_48) != 0
RETURN {"e48": union_distinct([e_48], []), "e49": union_distinct(flatten(e49[**].e49), []), "r47": union_distinct(flatten(e49[**].r47), [])}
)
LET gt31 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].e49), flatten(tree_0[**].e44), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e43), flatten(tree_1[**].e48), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g31 = (
FOR x IN gt31
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 >= 40
RETURN {
_id: c,
modifier: variable_0
}
)
FOR x in g31
RETURN {group: x.modifier, by: x._id}
`)
View Source
var MultipleInputGroupByResult = string(`LET tree_0 = (
FOR e_43 IN parliament
FILTER e_43.age < 42
LET e44 = (
FOR e_44 IN parties
FOR r42 IN member_of
FILTER e_44.seats > 6
FILTER r42._from == e_43._id AND r42._to == e_44._id
FILTER length(e_44) != 0 AND length(r42) != 0
RETURN {"e44": union_distinct([e_44], []), "r42": union_distinct([r42], [])}
)
FILTER length(e44) != 0 AND length(e_43) != 0
RETURN {"e44": union_distinct(flatten(e44[**].e44), []), "r42": union_distinct(flatten(e44[**].r42), []), "e43": union_distinct([e_43], [])}
)
LET tree_1 = (
FOR e_48 IN parliament
FILTER e_48.age >= 42
LET e49 = (
FOR e_49 IN parties
FOR r47 IN member_of
FILTER e_49.seats <= 6
FILTER r47._from == e_48._id AND r47._to == e_49._id
FILTER length(e_49) != 0 AND length(r47) != 0
RETURN {"e49": union_distinct([e_49], []), "r47": union_distinct([r47], [])}
)
FILTER length(e49) != 0 AND length(e_48) != 0
RETURN {"e48": union_distinct([e_48], []), "e49": union_distinct(flatten(e49[**].e49), []), "r47": union_distinct(flatten(e49[**].r47), [])}
)
LET gt31 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].e49), flatten(tree_0[**].e44), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e43), flatten(tree_1[**].e48), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g31 = (
FOR x IN gt31
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 >= 40
RETURN {
_id: c,
modifier: variable_0
}
)
LET in31 = (
FOR x IN g31[**]._id
FOR y IN parties
FILTER x == y._id
RETURN y
)
LET tree_2 = (
FOR e_73 IN parliament
LET gb31 = (
FOR g_31 IN in31
FOR r71 IN member_of
FILTER r71._from == e_73._id AND r71._to == g_31._id
FILTER length(g_31) != 0 AND length(r71) != 0
RETURN {"gb31": union_distinct([g_31], []), "r71": union_distinct([r71], [])}
)
FILTER length(gb31) != 0 AND length(e_73) != 0
RETURN {"e73": union_distinct([e_73], []), "gb31": union_distinct(flatten(gb31[**].gb31), []), "r71": union_distinct(flatten(gb31[**].r71), [])}
)
LET nodes = union_distinct(flatten(tree_2[**].e73), flatten(tree_2[**].gb31), [])
LET edges = union_distinct(flatten(tree_2[**].r71), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var NestedGroupBys2 = []byte(`{
"return": {
"entities": [
9,
10,
25,
52
],
"relations": [
8,
24,
51
],
"groupBys": [
6,
40
]
},
"entities": [
{
"name": "parliament",
"ID": 9,
"constraints": []
},
{
"name": "commissions",
"ID": 10,
"constraints": []
},
{
"name": "parliament",
"ID": 25,
"constraints": []
},
{
"name": "parliament",
"ID": 52,
"constraints": []
}
],
"relations": [
{
"ID": 8,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 9,
"toType": "entity",
"toID": 10,
"constraints": []
},
{
"ID": 24,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 25,
"toType": "groupBy",
"toID": 6,
"constraints": []
},
{
"ID": 51,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 52,
"toType": "groupBy",
"toID": 40,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
9
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
10
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 8,
"constraints": [
{
"attribute": "age",
"value": "41",
"dataType": "int",
"matchType": "LET"
}
]
},
{
"ID": 40,
"groupType": "entity",
"groupID": [
25
],
"groupAttribute": "age",
"byType": "groupBy",
"byID": [
6
],
"byAttribute": "_id",
"appliedModifier": "MAX",
"relationID": 24,
"constraints": []
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var NestedGroupBys2Result = string(`LET tree_0 = (
FOR e_9 IN parliament
LET e10 = (
FOR e_10 IN commissions
FOR r8 IN part_of
FILTER r8._from == e_9._id AND r8._to == e_10._id
FILTER length(e_10) != 0 AND length(r8) != 0
RETURN {"e10": union_distinct([e_10], []), "r8": union_distinct([r8], [])}
)
FILTER length(e10) != 0 AND length(e_9) != 0
RETURN {"r8": union_distinct(flatten(e10[**].r8), []), "e9": union_distinct([e_9], []), "e10": union_distinct(flatten(e10[**].e10), [])}
)
LET gt6 = (
FOR x IN part_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e10), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e9), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g6 = (
FOR x IN gt6
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 <= 41
RETURN {
_id: c,
modifier: variable_0
}
)
LET in6 = (
FOR x IN g6[**]._id
FOR y IN commissions
FILTER x == y._id
RETURN y
)
LET tree_1 = (
FOR e_25 IN parliament
LET gb6 = (
FOR g_6 IN in6
FOR r24 IN part_of
FILTER r24._from == e_25._id AND r24._to == g_6._id
FILTER length(g_6) != 0 AND length(r24) != 0
RETURN {"gb6": union_distinct([g_6], []), "r24": union_distinct([r24], [])}
)
FILTER length(gb6) != 0 AND length(e_25) != 0
RETURN {"e25": union_distinct([e_25], []), "gb6": union_distinct(flatten(gb6[**].gb6), []), "r24": union_distinct(flatten(gb6[**].r24), [])}
)
LET gt40 = (
FOR x IN part_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].gb6), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_1[**].e25), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g40 = (
FOR x IN gt40
COLLECT c = x.group INTO groups = x.by
LET variable_0 = MAX(groups)
RETURN {
_id: c,
modifier: variable_0
}
)
LET in40 = (
FOR x IN g40[**]._id
FOR y IN commissions
FILTER x == y._id
RETURN y
)
LET tree_2 = (
FOR e_52 IN parliament
LET gb40 = (
FOR g_40 IN in40
FOR r51 IN part_of
FILTER r51._from == e_52._id AND r51._to == g_40._id
FILTER length(g_40) != 0 AND length(r51) != 0
RETURN {"gb40": union_distinct([g_40], []), "r51": union_distinct([r51], [])}
)
FILTER length(gb40) != 0 AND length(e_52) != 0
RETURN {"e52": union_distinct([e_52], []), "gb40": union_distinct(flatten(gb40[**].gb40), []), "r51": union_distinct(flatten(gb40[**].r51), [])}
)
LET nodes = union_distinct(flatten(tree_2[**].e52), flatten(tree_2[**].gb40), [])
LET edges = union_distinct(flatten(tree_2[**].r51), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var NoRelationsField = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var SeparatedChainDoubleRelationPerChain = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2,
3,
4,
5
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
},
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": []
},
{
"name": "resolutions",
"ID": 4,
"constraints": []
},
{
"name": "resolutions",
"ID": 5,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
},
{
"ID": 1,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints":[]
},
{
"ID": 2,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 4,
"constraints":[]
},
{
"ID": 3,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 5,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var SeparatedChainSingleRelationPerChain = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2,
3
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
},
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
},
{
"ID": 1,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var SeperatedChainWithGroupBys = []byte(`{
"return": {
"entities": [
2,
3,
14,
28,
37,
38,
47
],
"relations": [
1,
13,
26,
36,
46
],
"groupBys": [
12,
35
]
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": []
},
{
"name": "parliament",
"ID": 14,
"constraints": []
},
{
"name": "commissions",
"ID": 28,
"constraints": [
{
"attribute": "name",
"value": "f",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "parliament",
"ID": 37,
"constraints": []
},
{
"name": "resolutions",
"ID": 38,
"constraints": []
},
{
"name": "parliament",
"ID": 47,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 13,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 14,
"toType": "groupBy",
"toID": 12,
"constraints": []
},
{
"ID": 26,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 14,
"toType": "entity",
"toID": 28,
"constraints": []
},
{
"ID": 36,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 37,
"toType": "entity",
"toID": 38,
"constraints": []
},
{
"ID": 46,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 47,
"toType": "groupBy",
"toID": 35,
"constraints": []
}
],
"groupBys": [
{
"ID": 12,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
3
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 1,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"ID": 35,
"groupType": "entity",
"groupID": [
37
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
38
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 36,
"constraints": [
{
"attribute": "age",
"value": "45",
"dataType": "int",
"matchType": "GET"
}
]
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var SingleEndPointGroupBy = []byte(`{
"return": {
"entities": [
2,
3
],
"relations": [
1
],
"groupBys": [
6
]
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "commissions",
"ID": 3,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
3
],
"byAttribute": "name",
"appliedModifier": "AVG",
"relationID": 1,
"constraints": [
{
"attribute": "age",
"value": "45",
"dataType": "int",
"matchType": "GT"
}
]
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var SingleEndPointGroupByResult = string(`LET tree_0 = (
FOR e_2 IN parliament
LET e3 = (
FOR e_3 IN commissions
FOR r1 IN part_of
FILTER r1._from == e_2._id AND r1._to == e_3._id
FILTER length(e_3) != 0 AND length(r1) != 0
RETURN {"e3": union_distinct([e_3], []), "r1": union_distinct([r1], [])}
)
FILTER length(e3) != 0 AND length(e_2) != 0
RETURN {"e2": union_distinct([e_2], []), "e3": union_distinct(flatten(e3[**].e3), []), "r1": union_distinct(flatten(e3[**].r1), [])}
)
LET gt6 = (
FOR x IN part_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e3), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y.name
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e2), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g6 = (
FOR x IN gt6
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 > 45
RETURN {
_id: c,
modifier: variable_0
}
)
FOR x in g6
RETURN {group: x.modifier, by: x._id}
`)
View Source
var SingleGroupBy = []byte(`{
"return": {
"entities": [
2,
3,
4
],
"relations": [
1,
2
],
"groupBys": [
6
]
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "commissions",
"ID": 3,
"constraints": []
},
{
"name": "parliament",
"ID": 4,
"constraints": []
}
],
"relations": [
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 2,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 4,
"toType": "groupBy",
"toID": 6,
"constraints": []
}
],
"groupBys": [
{
"ID": 6,
"groupType": "entity",
"groupID": [
2
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
3
],
"byAttribute": "name",
"appliedModifier": "avg",
"relationID": 1,
"constraints": [
{
"attribute": "age",
"value": "45",
"dataType": "int",
"matchType": "GT"
}
]
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var SingleGroupByResult = string(`LET tree_0 = (
FOR e_2 IN parliament
LET e3 = (
FOR e_3 IN commissions
FOR r1 IN part_of
FILTER r1._from == e_2._id AND r1._to == e_3._id
FILTER length(e_3) != 0 AND length(r1) != 0
RETURN {"e3": union_distinct([e_3], []), "r1": union_distinct([r1], [])}
)
FILTER length(e3) != 0 AND length(e_2) != 0
RETURN {"e2": union_distinct([e_2], []), "e3": union_distinct(flatten(e3[**].e3), []), "r1": union_distinct(flatten(e3[**].r1), [])}
)
LET gt6 = (
FOR x IN part_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e3), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y.name
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e2), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g6 = (
FOR x IN gt6
COLLECT c = x.group INTO groups = x.by
LET variable_0 = avg(groups)
FILTER variable_0 > 45
RETURN {
_id: c,
modifier: variable_0
}
)
LET in6 = (
FOR x IN g6[**]._id
FOR y IN commissions
FILTER x == y.name
RETURN y
)
LET tree_1 = (
FOR e_4 IN parliament
LET gb6 = (
FOR g_6 IN in6
FOR r2 IN part_of
FILTER r2._from == e_4._id AND r2._to == g_6._id
FILTER length(g_6) != 0 AND length(r2) != 0
RETURN {"gb6": union_distinct([g_6], []), "r2": union_distinct([r2], [])}
)
FILTER length(gb6) != 0 AND length(e_4) != 0
RETURN {"r2": union_distinct(flatten(gb6[**].r2), []), "e4": union_distinct([e_4], []), "gb6": union_distinct(flatten(gb6[**].gb6), [])}
)
LET nodes = union_distinct(flatten(tree_1[**].e4), flatten(tree_1[**].gb6), [])
LET edges = union_distinct(flatten(tree_1[**].r2), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var SingleJunctionFiveEntitiesThreeEntityFilters = []byte(`{
"return": {
"entities": [
0,
1,
2,
3,
4
],
"relations": [
0,
1,
2,
3
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "Geert",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "commissions",
"ID": 1,
"constraints": []
},
{
"name": "parliament",
"ID": 2,
"constraints": []
},
{
"name": "parties",
"ID": 3,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"name": "resolutions",
"ID": 4,
"constraints": [
{
"attribute": "date",
"value": "mei",
"dataType": "string",
"matchType": "contains"
}
]
}
],
"groupBys": [],
"relations": [
{
"ID": 0,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 0,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 1,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 1,
"constraints": []
},
{
"ID": 2,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 3,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromId": 2,
"toType": "entity",
"toID": 4,
"constraints": []
}
],
"limit": 5000
}`)
View Source
var SingleJunctionFiveEntitiesThreeEntityFiltersResult = string(`LET tree_0 = (
FOR e_0 IN parliament
FILTER e_0.name LIKE "%Geert%"
LET e1 = (
FOR e_1 IN commissions
FOR r0 IN part_of
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e2 = (
FOR e_2 IN parliament
FOR r1 IN part_of
FILTER r1._from == e_2._id AND r1._to == e_1._id
LET e3 = (
FOR e_3 IN parties
FOR r2 IN member_of
FILTER e_3.seats < 10
FILTER r2._from == e_2._id AND r2._to == e_3._id
FILTER length(e_3) != 0 AND length(r2) != 0
RETURN {"e3": union_distinct([e_3], []), "r2": union_distinct([r2], [])}
)
LET e4 = (
FOR e_4 IN resolutions
FOR r3 IN submits
FILTER e_4.date LIKE "%mei%"
FILTER r3._from == e_2._id AND r3._to == e_4._id
FILTER length(e_4) != 0 AND length(r3) != 0
RETURN {"e4": union_distinct([e_4], []), "r3": union_distinct([r3], [])}
)
FILTER length(e3) != 0 AND length(e4) != 0 AND length(e_2) != 0 AND length(r1) != 0
RETURN {"e2": union_distinct([e_2], []), "r1": union_distinct([r1], []), "e3": union_distinct(flatten(e3[**].e3), []), "r2": union_distinct(flatten(e3[**].r2), []), "e4": union_distinct(flatten(e4[**].e4), []), "r3": union_distinct(flatten(e4[**].r3), [])}
)
FILTER length(e2) != 0 AND length(e_1) != 0 AND length(r0) != 0
RETURN {"e1": union_distinct([e_1], []), "r0": union_distinct([r0], []), "e2": union_distinct(flatten(e2[**].e2), []), "e3": union_distinct(flatten(e2[**].e3), []), "e4": union_distinct(flatten(e2[**].e4), []), "r1": union_distinct(flatten(e2[**].r1), []), "r2": union_distinct(flatten(e2[**].r2), []), "r3": union_distinct(flatten(e2[**].r3), [])}
)
FILTER length(e1) != 0 AND length(e_0) != 0
RETURN {"e0": union_distinct([e_0], []), "e1": union_distinct(flatten(e1[**].e1), []), "e2": union_distinct(flatten(e1[**].e2), []), "e3": union_distinct(flatten(e1[**].e3), []), "e4": union_distinct(flatten(e1[**].e4), []), "r0": union_distinct(flatten(e1[**].r0), []), "r1": union_distinct(flatten(e1[**].r1), []), "r2": union_distinct(flatten(e1[**].r2), []), "r3": union_distinct(flatten(e1[**].r3), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), flatten(tree_0[**].e2), flatten(tree_0[**].e3), flatten(tree_0[**].e4), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), flatten(tree_0[**].r2), flatten(tree_0[**].r3), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var StringMatchTypes = []byte(`{
"return": {
"entities": [
2,
3,
8
],
"relations": [
1,
6
],
"groupBys": []
},
"entities": [
{
"name": "parliament",
"ID": 2,
"constraints": [
{
"attribute": "name",
"value": "Geert Wilders",
"dataType": "string",
"matchType": "NEQ"
}
]
},
{
"name": "parties",
"ID": 3,
"constraints": [
{
"attribute": "name",
"value": "v",
"dataType": "string",
"matchType": "excludes"
}
]
},
{
"name": "commissions",
"ID": 8,
"constraints": [
{
"attribute": "name",
"value": "groep",
"dataType": "string",
"matchType": "excludes"
}
]
}
],
"relations": [
{
"ID": 1,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 3,
"constraints": []
},
{
"ID": 6,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 2,
"toType": "entity",
"toID": 8,
"constraints": []
}
],
"groupBys": [],
"machineLearning": [],
"limit": 5000
}`)
View Source
var StringMatchTypesResult = string(`LET tree_0 = (
FOR e_3 IN parties
FILTER e_3.name NOT LIKE "v"
LET e2 = (
FOR e_2 IN parliament
FOR r1 IN member_of
FILTER e_2.name != "Geert Wilders"
FILTER r1._from == e_2._id AND r1._to == e_3._id
LET e8 = (
FOR e_8 IN commissions
FOR r6 IN part_of
FILTER e_8.name NOT LIKE "groep"
FILTER r6._from == e_2._id AND r6._to == e_8._id
FILTER length(e_8) != 0 AND length(r6) != 0
RETURN {"e8": union_distinct([e_8], []), "r6": union_distinct([r6], [])}
)
FILTER length(e8) != 0 AND length(e_2) != 0 AND length(r1) != 0
RETURN {"r1": union_distinct([r1], []), "e8": union_distinct(flatten(e8[**].e8), []), "r6": union_distinct(flatten(e8[**].r6), []), "e2": union_distinct([e_2], [])}
)
FILTER length(e2) != 0 AND length(e_3) != 0
RETURN {"r6": union_distinct(flatten(e2[**].r6), []), "e3": union_distinct([e_3], []), "e2": union_distinct(flatten(e2[**].e2), []), "r1": union_distinct(flatten(e2[**].r1), []), "e8": union_distinct(flatten(e2[**].e8), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e3), flatten(tree_0[**].e2), flatten(tree_0[**].e8), [])
LET edges = union_distinct(flatten(tree_0[**].r6), flatten(tree_0[**].r1), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var ThreeEntitiesNoFilter = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2
],
"relations": [
0,
1
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
},
{
"name": "resolutions",
"ID": 2,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
},
{
"ID": 1,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 2,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var ThreeEntitiesNoFilterResult = string(`LET tree_0 = (
FOR e_1 IN parties
LET e0 = (
FOR e_0 IN parliament
FOR r0 IN member_of
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e2 = (
FOR e_2 IN resolutions
FOR r1 IN submits
FILTER r1._from == e_0._id AND r1._to == e_2._id
FILTER length(e_2) != 0 AND length(r1) != 0
RETURN {"e2": union_distinct([e_2], []), "r1": union_distinct([r1], [])}
)
FILTER length(e2) != 0 AND length(e_0) != 0 AND length(r0) != 0
RETURN {"e0": union_distinct([e_0], []), "r0": union_distinct([r0], []), "e2": union_distinct(flatten(e2[**].e2), []), "r1": union_distinct(flatten(e2[**].r1), [])}
)
FILTER length(e0) != 0 AND length(e_1) != 0
RETURN {"r0": union_distinct(flatten(e0[**].r0), []), "e2": union_distinct(flatten(e0[**].e2), []), "r1": union_distinct(flatten(e0[**].r1), []), "e1": union_distinct([e_1], []), "e0": union_distinct(flatten(e0[**].e0), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e1), flatten(tree_0[**].e0), flatten(tree_0[**].e2), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var ThreeEntitiesOneEntityFilter = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2
],
"relations": [
0,
1
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "Geert",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "parties",
"ID": 1,
"constraints": []
},
{
"name": "resolutions",
"ID": 2,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
},
{
"ID": 1,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 2,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var ThreeEntitiesOneEntityFilterResult = string(`LET tree_0 = (
FOR e_1 IN parties
LET e0 = (
FOR e_0 IN parliament
FOR r0 IN member_of
FILTER e_0.name LIKE "%Geert%"
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e2 = (
FOR e_2 IN resolutions
FOR r1 IN submits
FILTER r1._from == e_0._id AND r1._to == e_2._id
FILTER length(e_2) != 0 AND length(r1) != 0
RETURN {"e2": union_distinct([e_2], []), "r1": union_distinct([r1], [])}
)
FILTER length(e2) != 0 AND length(e_0) != 0 AND length(r0) != 0
RETURN {"e2": union_distinct(flatten(e2[**].e2), []), "r1": union_distinct(flatten(e2[**].r1), []), "e0": union_distinct([e_0], []), "r0": union_distinct([r0], [])}
)
FILTER length(e0) != 0 AND length(e_1) != 0
RETURN {"e1": union_distinct([e_1], []), "e0": union_distinct(flatten(e0[**].e0), []), "e2": union_distinct(flatten(e0[**].e2), []), "r0": union_distinct(flatten(e0[**].r0), []), "r1": union_distinct(flatten(e0[**].r1), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e1), flatten(tree_0[**].e0), flatten(tree_0[**].e2), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var ThreeEntitiesTwoEntityFilters = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1,
2
],
"relations": [
0,
1
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "name",
"value": "Geert",
"dataType": "string",
"matchType": "contains"
}
]
},
{
"name": "parties",
"ID": 1,
"constraints": []
},
{
"name": "resolutions",
"ID": 2,
"constraints": [
{
"attribute": "date",
"value": "mei",
"dataType": "string",
"matchType": "contains"
}
]
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
},
{
"ID": 1,
"name": "submits",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 2,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var ThreeEntitiesTwoEntityFiltersResult = string(`LET tree_0 = (
FOR e_1 IN parties
LET e0 = (
FOR e_0 IN parliament
FOR r0 IN member_of
FILTER e_0.name LIKE "%Geert%"
FILTER r0._from == e_0._id AND r0._to == e_1._id
LET e2 = (
FOR e_2 IN resolutions
FOR r1 IN submits
FILTER e_2.date LIKE "%mei%"
FILTER r1._from == e_0._id AND r1._to == e_2._id
FILTER length(e_2) != 0 AND length(r1) != 0
RETURN {"e2": union_distinct([e_2], []), "r1": union_distinct([r1], [])}
)
FILTER length(e2) != 0 AND length(e_0) != 0 AND length(r0) != 0
RETURN {"e0": union_distinct([e_0], []), "r0": union_distinct([r0], []), "e2": union_distinct(flatten(e2[**].e2), []), "r1": union_distinct(flatten(e2[**].r1), [])}
)
FILTER length(e0) != 0 AND length(e_1) != 0
RETURN {"e1": union_distinct([e_1], []), "e0": union_distinct(flatten(e0[**].e0), []), "e2": union_distinct(flatten(e0[**].e2), []), "r0": union_distinct(flatten(e0[**].r0), []), "r1": union_distinct(flatten(e0[**].r1), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e1), flatten(tree_0[**].e0), flatten(tree_0[**].e2), [])
LET edges = union_distinct(flatten(tree_0[**].r0), flatten(tree_0[**].r1), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var TopEntityToFromGroupBy = []byte(`{
"return": {
"entities": [
26,
27,
36
],
"relations": [
25,
34
],
"groupBys": [
30
]
},
"entities": [
{
"name": "Streamer",
"ID": 26,
"constraints": []
},
{
"name": "Streamer",
"ID": 27,
"constraints": []
},
{
"name": "Streamer",
"ID": 36,
"constraints": []
}
],
"relations": [
{
"ID": 25,
"name": "viewerOverlap",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 26,
"toType": "entity",
"toID": 27,
"constraints": []
},
{
"ID": 34,
"name": "viewerOverlap",
"depth": {
"min": 1,
"max": 1
},
"fromType": "groupBy",
"fromID": 30,
"toType": "entity",
"toID": 36,
"constraints": []
}
],
"groupBys": [
{
"ID": 30,
"groupType": "entity",
"groupID": [
27
],
"groupAttribute": "Count",
"byType": "entity",
"byID": [
26
],
"byAttribute": "_id",
"appliedModifier": "avg",
"relationID": 25,
"constraints": []
}
],
"machineLearning": [],
"limit": 5000
}`)
View Source
var TopEntityToFromGroupByResult = string(`LET tree_0 = (
FOR e_26 IN Streamer
LET e27 = (
FOR e_27 IN Streamer
FOR r25 IN viewerOverlap
FILTER r25._from == e_26._id AND r25._to == e_27._id
FILTER length(e_27) != 0 AND length(r25) != 0
RETURN {"e27": union_distinct([e_27], []), "r25": union_distinct([r25], [])}
)
FILTER length(e27) != 0 AND length(e_26) != 0
RETURN {"e26": union_distinct([e_26], []), "e27": union_distinct(flatten(e27[**].e27), []), "r25": union_distinct(flatten(e27[**].r25), [])}
)
LET gt30 = (
FOR x IN viewerOverlap
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e26), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e27), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.Count
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g30 = (
FOR x IN gt30
COLLECT c = x.group INTO groups = x.by
LET variable_0 = avg(groups)
RETURN {
_id: c,
modifier: variable_0
}
)
LET in30 = (
FOR x IN g30[**]._id
FOR y IN Streamer
FILTER x == y._id
RETURN y
)
LET tree_1 = (
FOR e_36 IN Streamer
LET gb30 = (
FOR g_30 IN in30
FOR r34 IN viewerOverlap
FILTER r34._from == g_30._id AND r34._to == e_36._id
FILTER length(g_30) != 0 AND length(r34) != 0
RETURN {"gb30": union_distinct([g_30], []), "r34": union_distinct([r34], [])}
)
FILTER length(gb30) != 0 AND length(e_36) != 0
RETURN {"r34": union_distinct(flatten(gb30[**].r34), []), "e36": union_distinct([e_36], []), "gb30": union_distinct(flatten(gb30[**].gb30), [])}
)
LET nodes = union_distinct(flatten(tree_1[**].e36), flatten(tree_1[**].gb30), [])
LET edges = union_distinct(flatten(tree_1[**].r34), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var TopGroupBy = []byte(`{
"return": {
"entities": [
9,
10,
68,
69
],
"relations": [
8,
67,
76
],
"groupBys": [
13,
72
]
},
"entities": [
{
"name": "parliament",
"ID": 9,
"constraints": []
},
{
"name": "parties",
"ID": 10,
"constraints": []
},
{
"name": "parliament",
"ID": 68,
"constraints": []
},
{
"name": "parties",
"ID": 69,
"constraints": []
}
],
"relations": [
{
"ID": 8,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 9,
"toType": "entity",
"toID": 10,
"constraints": []
},
{
"ID": 67,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 68,
"toType": "entity",
"toID": 69,
"constraints": []
},
{
"ID": 76,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "groupBy",
"fromID": 72,
"toType": "groupBy",
"toID": 13,
"constraints": []
}
],
"groupBys": [
{
"ID": 13,
"groupType": "entity",
"groupID": [
9
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
10
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 8,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"ID": 72,
"groupType": "entity",
"groupID": [
69
],
"groupAttribute": "seats",
"byType": "entity",
"byID": [
68
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 67,
"constraints": [
{
"attribute": "seats",
"value": "13",
"dataType": "int",
"matchType": "LT"
}
]
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var TopGroupByResult = string(`LET tree_0 = (
FOR e_9 IN parliament
LET e10 = (
FOR e_10 IN parties
FOR r8 IN member_of
FILTER r8._from == e_9._id AND r8._to == e_10._id
FILTER length(e_10) != 0 AND length(r8) != 0
RETURN {"e10": union_distinct([e_10], []), "r8": union_distinct([r8], [])}
)
FILTER length(e10) != 0 AND length(e_9) != 0
RETURN {"e9": union_distinct([e_9], []), "e10": union_distinct(flatten(e10[**].e10), []), "r8": union_distinct(flatten(e10[**].r8), [])}
)
LET gt13 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e10), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e9), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g13 = (
FOR x IN gt13
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 >= 42
RETURN {
_id: c,
modifier: variable_0
}
)
LET in13 = (
FOR x IN g13[**]._id
FOR y IN parties
FILTER x == y._id
RETURN y
)
LET tree_1 = (
FOR e_68 IN parliament
LET e69 = (
FOR e_69 IN parties
FOR r67 IN member_of
FILTER r67._from == e_68._id AND r67._to == e_69._id
FILTER length(e_69) != 0 AND length(r67) != 0
RETURN {"e69": union_distinct([e_69], []), "r67": union_distinct([r67], [])}
)
FILTER length(e69) != 0 AND length(e_68) != 0
RETURN {"e69": union_distinct(flatten(e69[**].e69), []), "r67": union_distinct(flatten(e69[**].r67), []), "e68": union_distinct([e_68], [])}
)
LET gt72 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].e68), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_1[**].e69), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y.seats
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g72 = (
FOR x IN gt72
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 < 13
RETURN {
_id: c,
modifier: variable_0
}
)
LET in72 = (
FOR x IN g72[**]._id
FOR y IN parliament
FILTER x == y._id
RETURN y
)
LET tree_2 = (
FOR g_13 IN in13
LET gb72 = (
FOR g_72 IN in72
FOR r76 IN member_of
FILTER r76._from == g_72._id AND r76._to == g_13._id
FILTER length(g_72) != 0 AND length(r76) != 0
RETURN {"gb72": union_distinct([g_72], []), "r76": union_distinct([r76], [])}
)
FILTER length(gb72) != 0 AND length(g_13) != 0
RETURN {"gb13": union_distinct([g_13], []), "gb72": union_distinct(flatten(gb72[**].gb72), []), "r76": union_distinct(flatten(gb72[**].r76), [])}
)
LET nodes = union_distinct(flatten(tree_2[**].gb13), flatten(tree_2[**].gb72), [])
LET edges = union_distinct(flatten(tree_2[**].r76), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var TwoEntitiesNoFilter = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": []
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var TwoEntitiesNoFilterResult = string(`LET tree_0 = (
FOR e_0 IN parliament
LET e1 = (
FOR e_1 IN parties
FOR r0 IN member_of
FILTER r0._from == e_0._id AND r0._to == e_1._id
FILTER length(e_1) != 0 AND length(r0) != 0
RETURN {"e1": union_distinct([e_1], []), "r0": union_distinct([r0], [])}
)
FILTER length(e1) != 0 AND length(e_0) != 0
RETURN {"e0": union_distinct([e_0], []), "e1": union_distinct(flatten(e1[**].e1), []), "r0": union_distinct(flatten(e1[**].r0), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), [])
LET edges = union_distinct(flatten(tree_0[**].r0), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var TwoEntitiesOneEntityFilter = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": []
},
{
"name": "parties",
"ID": 1,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var TwoEntitiesOneEntityFilterOneRelationFilter = []byte(`{
"return": {
"entities": [
0,
1
],
"relations": [
0
]
},
"entities": [
{
"ID": 0,
"name": "airports",
"constraints": [
{
"attribute": "state",
"value": "HI",
"dataType": "string",
"matchType": "exact"
}
]
},
{
"ID": 1,
"name": "airports",
"constraints":[]
}
],
"relations": [
{
"ID": 0,
"name": "flights",
"depth": {
"min": 1,
"max": 1
},
"FromType": "entity",
"fromID": 0,
"ToType": "entity",
"toID": 1,
"constraints": [
{
"attribute": "Day",
"value": "15",
"dataType": "int",
"matchType": "EQ",
"inType": "",
"inID": -1
}
]
}
],
"groupBys": [],
"limit": 5000
}`)
View Source
var TwoEntitiesOneEntityFilterOneRelationFilterResult = string(`LET tree_0 = (
FOR e_0 IN airports
FILTER e_0.state == "HI"
LET e1 = (
FOR e_1 IN airports
FOR r0 IN flights
FILTER r0.Day == 15
FILTER r0._from == e_0._id AND r0._to == e_1._id
FILTER length(e_1) != 0 AND length(r0) != 0
RETURN {"e1": union_distinct([e_1], []), "r0": union_distinct([r0], [])}
)
FILTER length(e1) != 0 AND length(e_0) != 0
RETURN {"e0": union_distinct([e_0], []), "e1": union_distinct(flatten(e1[**].e1), []), "r0": union_distinct(flatten(e1[**].r0), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), [])
LET edges = union_distinct(flatten(tree_0[**].r0), [])
RETURN {"vertices":nodes,"edges":edges}
`)
View Source
var TwoEntitiesOneEntityFilterResult = string(`LET tree_0 = (
FOR e_0 IN parliament
LET e1 = (
FOR e_1 IN parties
FOR r0 IN member_of
FILTER e_1.seats < 10
FILTER r0._from == e_0._id AND r0._to == e_1._id
FILTER length(e_1) != 0 AND length(r0) != 0
RETURN {"e1": union_distinct([e_1], []), "r0": union_distinct([r0], [])}
)
FILTER length(e1) != 0 AND length(e_0) != 0
RETURN {"e0": union_distinct([e_0], []), "e1": union_distinct(flatten(e1[**].e1), []), "r0": union_distinct(flatten(e1[**].r0), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), [])
LET edges = union_distinct(flatten(tree_0[**].r0), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var TwoEntitiesTwoEntityFilters = []byte(`{
"databaseName": "TweedeKamer",
"return": {
"entities": [
0,
1
],
"relations": [
0
]
},
"entities": [
{
"name": "parliament",
"ID": 0,
"constraints": [
{
"attribute": "age",
"value": "45",
"dataType": "int",
"matchType": "GT"
}
]
},
{
"name": "parties",
"ID": 1,
"constraints": [
{
"attribute": "seats",
"value": "10",
"dataType": "int",
"matchType": "LT"
}
]
}
],
"relations": [
{
"ID": 0,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 0,
"toType": "entity",
"toID": 1,
"constraints":[]
}
],
"groupBys": [],
"limit": 5000,
"modifiers": []
}`)
View Source
var TwoEntitiesTwoEntityFiltersResult = string(`LET tree_0 = (
FOR e_0 IN parliament
FILTER e_0.age > 45
LET e1 = (
FOR e_1 IN parties
FOR r0 IN member_of
FILTER e_1.seats < 10
FILTER r0._from == e_0._id AND r0._to == e_1._id
FILTER length(e_1) != 0 AND length(r0) != 0
RETURN {"e1": union_distinct([e_1], []), "r0": union_distinct([r0], [])}
)
FILTER length(e1) != 0 AND length(e_0) != 0
RETURN {"e0": union_distinct([e_0], []), "e1": union_distinct(flatten(e1[**].e1), []), "r0": union_distinct(flatten(e1[**].r0), [])}
)
LET nodes = union_distinct(flatten(tree_0[**].e0), flatten(tree_0[**].e1), [])
LET edges = union_distinct(flatten(tree_0[**].r0), [])
RETURN {"vertices":nodes,"edges":edges}`)
View Source
var WayTooLargeQuery = []byte(`{
"return": {
"entities": [
9,
10,
68,
69,
93,
104,
119,
126,
145
],
"relations": [
8,
67,
76,
92,
98,
118,
124,
144
],
"groupBys": [
13,
72,
106,
138
]
},
"entities": [
{
"name": "parliament",
"ID": 9,
"constraints": []
},
{
"name": "parties",
"ID": 10,
"constraints": []
},
{
"name": "parliament",
"ID": 68,
"constraints": []
},
{
"name": "parties",
"ID": 69,
"constraints": []
},
{
"name": "parliament",
"ID": 93,
"constraints": [
{
"attribute": "age",
"value": "32",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"name": "commissions",
"ID": 104,
"constraints": []
},
{
"name": "parliament",
"ID": 119,
"constraints": [
{
"attribute": "age",
"value": "67",
"dataType": "int",
"matchType": "LET"
}
]
},
{
"name": "parties",
"ID": 126,
"constraints": [
{
"attribute": "seats",
"value": "14",
"dataType": "int",
"matchType": "LET"
}
]
},
{
"name": "parliament",
"ID": 145,
"constraints": []
}
],
"relations": [
{
"ID": 8,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 9,
"toType": "entity",
"toID": 10,
"constraints": []
},
{
"ID": 67,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 68,
"toType": "entity",
"toID": 69,
"constraints": []
},
{
"ID": 76,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "groupBy",
"fromID": 72,
"toType": "groupBy",
"toID": 13,
"constraints": []
},
{
"ID": 92,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 93,
"toType": "groupBy",
"toID": 13,
"constraints": []
},
{
"ID": 98,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 93,
"toType": "entity",
"toID": 104,
"constraints": []
},
{
"ID": 118,
"name": "part_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 119,
"toType": "groupBy",
"toID": 106,
"constraints": []
},
{
"ID": 124,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 119,
"toType": "entity",
"toID": 126,
"constraints": []
},
{
"ID": 144,
"name": "member_of",
"depth": {
"min": 1,
"max": 1
},
"fromType": "entity",
"fromID": 145,
"toType": "groupBy",
"toID": 138,
"constraints": []
}
],
"groupBys": [
{
"ID": 13,
"groupType": "entity",
"groupID": [
9
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
10
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 8,
"constraints": [
{
"attribute": "age",
"value": "42",
"dataType": "int",
"matchType": "GET"
}
]
},
{
"ID": 72,
"groupType": "entity",
"groupID": [
69
],
"groupAttribute": "seats",
"byType": "entity",
"byID": [
68
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 67,
"constraints": [
{
"attribute": "seats",
"value": "13",
"dataType": "int",
"matchType": "LT"
}
]
},
{
"ID": 106,
"groupType": "entity",
"groupID": [
93
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
104
],
"byAttribute": "_id",
"appliedModifier": "AVG",
"relationID": 98,
"constraints": [
{
"attribute": "age",
"value": "69",
"dataType": "int",
"matchType": "LET"
}
]
},
{
"ID": 138,
"groupType": "entity",
"groupID": [
119
],
"groupAttribute": "age",
"byType": "entity",
"byID": [
126
],
"byAttribute": "_id",
"appliedModifier": "PRODUCT",
"relationID": 124,
"constraints": [
{
"attribute": "age",
"value": "8008",
"dataType": "int",
"matchType": "GET"
}
]
}
],
"machineLearning": [],
"limit": 5000
}
`)
View Source
var WayTooLargeQueryResult = string(`LET tree_0 = (
FOR e_9 IN parliament
LET e10 = (
FOR e_10 IN parties
FOR r8 IN member_of
FILTER r8._from == e_9._id AND r8._to == e_10._id
FILTER length(e_10) != 0 AND length(r8) != 0
RETURN {"e10": union_distinct([e_10], []), "r8": union_distinct([r8], [])}
)
FILTER length(e10) != 0 AND length(e_9) != 0
RETURN {"e9": union_distinct([e_9], []), "e10": union_distinct(flatten(e10[**].e10), []), "r8": union_distinct(flatten(e10[**].r8), [])}
)
LET gt13 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_0[**].e10), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_0[**].e9), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g13 = (
FOR x IN gt13
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 >= 42
RETURN {
_id: c,
modifier: variable_0
}
)
LET in13 = (
FOR x IN g13[**]._id
FOR y IN parties
FILTER x == y._id
RETURN y
)
LET tree_1 = (
FOR e_68 IN parliament
LET e69 = (
FOR e_69 IN parties
FOR r67 IN member_of
FILTER r67._from == e_68._id AND r67._to == e_69._id
FILTER length(e_69) != 0 AND length(r67) != 0
RETURN {"e69": union_distinct([e_69], []), "r67": union_distinct([r67], [])}
)
FILTER length(e69) != 0 AND length(e_68) != 0
RETURN {"e68": union_distinct([e_68], []), "e69": union_distinct(flatten(e69[**].e69), []), "r67": union_distinct(flatten(e69[**].r67), [])}
)
LET gt72 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_1[**].e68), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_1[**].e69), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y.seats
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g72 = (
FOR x IN gt72
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 < 13
RETURN {
_id: c,
modifier: variable_0
}
)
LET in72 = (
FOR x IN g72[**]._id
FOR y IN parliament
FILTER x == y._id
RETURN y
)
LET tree_2 = (
FOR e_104 IN commissions
LET e93 = (
FOR e_93 IN parliament
FOR r98 IN part_of
FILTER e_93.age >= 32
FILTER r98._from == e_93._id AND r98._to == e_104._id
LET gb13 = (
FOR g_13 IN in13
FOR r92 IN member_of
FILTER r92._from == e_93._id AND r92._to == g_13._id
LET gb72 = (
FOR g_72 IN in72
FOR r76 IN member_of
FILTER r76._from == g_72._id AND r76._to == g_13._id
FILTER length(g_72) != 0 AND length(r76) != 0
RETURN {"gb72": union_distinct([g_72], []), "r76": union_distinct([r76], [])}
)
FILTER length(gb72) != 0 AND length(g_13) != 0 AND length(r92) != 0
RETURN {"r92": union_distinct([r92], []), "gb72": union_distinct(flatten(gb72[**].gb72), []), "r76": union_distinct(flatten(gb72[**].r76), []), "gb13": union_distinct([g_13], [])}
)
FILTER length(gb13) != 0 AND length(e_93) != 0 AND length(r98) != 0
RETURN {"e93": union_distinct([e_93], []), "r98": union_distinct([r98], []), "gb13": union_distinct(flatten(gb13[**].gb13), []), "r92": union_distinct(flatten(gb13[**].r92), []), "gb72": union_distinct(flatten(gb13[**].gb72), []), "r76": union_distinct(flatten(gb13[**].r76), [])}
)
FILTER length(e93) != 0 AND length(e_104) != 0
RETURN {"r98": union_distinct(flatten(e93[**].r98), []), "gb13": union_distinct(flatten(e93[**].gb13), []), "r92": union_distinct(flatten(e93[**].r92), []), "gb72": union_distinct(flatten(e93[**].gb72), []), "r76": union_distinct(flatten(e93[**].r76), []), "e104": union_distinct([e_104], []), "e93": union_distinct(flatten(e93[**].e93), [])}
)
LET gt106 = (
FOR x IN part_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_2[**].e104), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_2[**].e93), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g106 = (
FOR x IN gt106
COLLECT c = x.group INTO groups = x.by
LET variable_0 = AVG(groups)
FILTER variable_0 <= 69
RETURN {
_id: c,
modifier: variable_0
}
)
LET in106 = (
FOR x IN g106[**]._id
FOR y IN commissions
FILTER x == y._id
RETURN y
)
LET tree_3 = (
FOR e_126 IN parties
FILTER e_126.seats <= 14
LET e119 = (
FOR e_119 IN parliament
FOR r124 IN member_of
FILTER e_119.age <= 67
FILTER r124._from == e_119._id AND r124._to == e_126._id
LET gb106 = (
FOR g_106 IN in106
FOR r118 IN part_of
FILTER r118._from == e_119._id AND r118._to == g_106._id
FILTER length(g_106) != 0 AND length(r118) != 0
RETURN {"gb106": union_distinct([g_106], []), "r118": union_distinct([r118], [])}
)
FILTER length(gb106) != 0 AND length(e_119) != 0 AND length(r124) != 0
RETURN {"gb106": union_distinct(flatten(gb106[**].gb106), []), "r118": union_distinct(flatten(gb106[**].r118), []), "e119": union_distinct([e_119], []), "r124": union_distinct([r124], [])}
)
FILTER length(e119) != 0 AND length(e_126) != 0
RETURN {"e119": union_distinct(flatten(e119[**].e119), []), "r124": union_distinct(flatten(e119[**].r124), []), "gb106": union_distinct(flatten(e119[**].gb106), []), "r118": union_distinct(flatten(e119[**].r118), []), "e126": union_distinct([e_126], [])}
)
LET gt138 = (
FOR x IN member_of
LET variable_0 = (
LET tmp = union_distinct(flatten(tree_3[**].e126), [])
FOR y IN tmp
FILTER y._id == x._to
RETURN y._id
)
LET variable_1 = variable_0[0]
LET variable_2 = (
LET tmp = union_distinct(flatten(tree_3[**].e119), [])
FOR y IN tmp
FILTER y._id == x._from
RETURN y.age
)
LET variable_3 = variable_2[0]
FILTER variable_1 != NULL AND variable_3 != NULL
RETURN {
"group": variable_1,
"by": variable_3
}
)
LET g138 = (
FOR x IN gt138
COLLECT c = x.group INTO groups = x.by
LET variable_0 = PRODUCT(groups)
FILTER variable_0 >= 8008
RETURN {
_id: c,
modifier: variable_0
}
)
LET in138 = (
FOR x IN g138[**]._id
FOR y IN parties
FILTER x == y._id
RETURN y
)
LET tree_4 = (
FOR e_145 IN parliament
LET gb138 = (
FOR g_138 IN in138
FOR r144 IN member_of
FILTER r144._from == e_145._id AND r144._to == g_138._id
FILTER length(g_138) != 0 AND length(r144) != 0
RETURN {"gb138": union_distinct([g_138], []), "r144": union_distinct([r144], [])}
)
FILTER length(gb138) != 0 AND length(e_145) != 0
RETURN {"e145": union_distinct([e_145], []), "gb138": union_distinct(flatten(gb138[**].gb138), []), "r144": union_distinct(flatten(gb138[**].r144), [])}
)
LET nodes = union_distinct(flatten(tree_4[**].gb138), flatten(tree_4[**].e145), [])
LET edges = union_distinct(flatten(tree_4[**].r144), [])
RETURN {"vertices":nodes,"edges":edges}
`)
Functions ¶
This section is empty.
Types ¶
type MockService ¶
type MockService struct {
// contains filtered or unexported fields
}
A MockService implements the query convert usecase interface (mock)
func NewMockService ¶
func NewMockService() *MockService
NewMockService creates a new query convert service (mock)
Return: *MockService, returns a mock service
func (*MockService) ConvertQuery ¶
func (s *MockService) ConvertQuery(JSONQuery *entity.IncomingQueryJSON) (*string, error)
ConvertQuery returns a hard coded string message (mock)
JSONQuer: *entity.IncomingQueryJSON, the incoming query in JSON format Return: (*string, error), the result and a potential error
func (*MockService) ToggleError ¶
func (s *MockService) ToggleError()
ToggleError decides whether the convert function throws an error
type Service ¶
type Service struct {
}
Service implements the QueryConverter interface (in the query service)
func (*Service) ConvertQuery ¶
ConvertQuery converts an IncomingQueryJSON object into AQL
JSONQuery: *entity.IncomingQueryJSON, the query to be converted to AQL Returns: *string, the AQL query and a possible error
Source Files
Click to show internal directories.
Click to hide internal directories.