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Merged
nick-nlb merged 2 commits into from
Jul 10, 2026
Merged

Automated Integration Test Goldens Update from CI #6438

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29e95c5
feat: Update goldens from Cloud Build workflow (build 339218b8-b632-4…
datacommons-robot-author Jul 9, 2026
3f05799
Merge branch 'master' into nl-golden-update-339218b8-b632-49d1-a342-1…
nick-nlb Jul 10, 2026
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3 changes: 1 addition & 2 deletions server/integration_tests/test_data/demo_fallback/query_3/chart_config.json
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Original file line number Diff line number Diff line change
Expand Up @@ -370,8 +370,7 @@
"Count_CriminalIncidents_Intimidation_IsHateCrime",
"Count_CriminalIncidents_KidnappingOrAbduction_IsHateCrime",
"Count_CriminalIncidents_MotorVehicleTheft_IsHateCrime",
"Count_CriminalIncidents_MurderAndNonNegligentManslaughter_IsHateCrime",
"Count_CriminalIncidents_NotSpecified_IsHateCrime"
"Count_CriminalIncidents_MurderAndNonNegligentManslaughter_IsHateCrime"
]
},
"dc/jtf63bh66k41g": {
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20 changes: 10 additions & 10 deletions server/integration_tests/test_data/demo_feb2023/query_5/chart_config.json
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Original file line number Diff line number Diff line change
Expand Up @@ -690,8 +690,8 @@
"tiles": [
{
"statVarKey": [
"Count_Person_InLaborForce_Male",
"Count_Person_InLaborForce_Female"
"Count_Person_InLaborForce_Female",
"Count_Person_InLaborForce_Male"
],
"title": "Labor Force by Gender in Placer County",
"type": "LINE"
Expand All @@ -708,9 +708,9 @@
"tiles": [
{
"statVarKey": [
"Count_Person_InLaborForce_Male_growth_abs"
"Count_Person_InLaborForce_Female_growth_abs"
],
"title": "Population: 16 Years or More, in Labor Force, Male in Placer County",
"title": "Population: 16 Years or More, in Labor Force, Female in Placer County",
"type": "LINE"
}
]
Expand All @@ -719,9 +719,9 @@
"tiles": [
{
"statVarKey": [
"Count_Person_InLaborForce_Female_growth_abs"
"Count_Person_InLaborForce_Male_growth_abs"
],
"title": "Population: 16 Years or More, in Labor Force, Female in Placer County",
"title": "Population: 16 Years or More, in Labor Force, Male in Placer County",
"type": "LINE"
}
]
Expand Down Expand Up @@ -764,9 +764,9 @@
"tiles": [
{
"statVarKey": [
"Count_Person_InLaborForce_Male_growth_pc"
"Count_Person_InLaborForce_Female_growth_pc"
],
"title": "Population: 16 Years or More, in Labor Force, Male in Placer County",
"title": "Population: 16 Years or More, in Labor Force, Female in Placer County",
"type": "LINE"
}
]
Expand All @@ -775,9 +775,9 @@
"tiles": [
{
"statVarKey": [
"Count_Person_InLaborForce_Female_growth_pc"
"Count_Person_InLaborForce_Male_growth_pc"
],
"title": "Population: 16 Years or More, in Labor Force, Female in Placer County",
"title": "Population: 16 Years or More, in Labor Force, Male in Placer County",
"type": "LINE"
}
]
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10 changes: 10 additions & 0 deletions ...integration_tests/test_data/detection_api_context/stateswithhighestphds/chart_config.json
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Original file line number Diff line number Diff line change
@@ -1,6 +1,16 @@
{
"childEntityType": "State",
"classifications": [
{
"quantity": {
"idx": 0,
"qval": {
"cmp": "GE",
"val": 2.2250738585072014e-308
}
},
"type": 3
},
Comment on lines +4 to +13

@gemini-code-assist gemini-code-assist Bot Jul 9, 2026

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medium

The query stateswithhighestphds is a ranking query and should not trigger a quantity classification. The addition of a quantity classification with val: 2.2250738585072014e-308 (which is sys.float_info.min) suggests a regression or bug in the quantity detection logic or LLM parser. Please investigate why this query is being classified as a quantity query with a minimum float value.

{
"ranking_type": [
1
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16 changes: 8 additions & 8 deletions ...test_data/e2e_date_range/femalepopulationincaliforniacountiesbefore2020/chart_config.json
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Expand Up @@ -421,7 +421,7 @@
"endDate": "2019"
},
"statVarKey": [
"Count_Person_Female_WithHealthInsurance_3376114862"
"Count_Person_Female_WithHealthInsurance_1704193675"
],
"title": "Women With Health Insurance in California",
"type": "LINE"
Expand Down Expand Up @@ -899,7 +899,7 @@
"endDate": "2019"
},
"statVarKey": [
"Count_Person_Female_ForeignBorn_10983471"
"Count_Person_Female_ForeignBorn_196790193"
],
"title": "Foreign Born Women in California",
"type": "LINE"
Expand Down Expand Up @@ -989,8 +989,8 @@
"name": "Asian Monoracial Women",
"statVar": "Count_Person_Female_AsianAlone"
},
"Count_Person_Female_ForeignBorn_10983471": {
"facetId": "10983471",
"Count_Person_Female_ForeignBorn_196790193": {
"facetId": "196790193",
"name": "Foreign Born Women",
"statVar": "Count_Person_Female_ForeignBorn"
},
Expand Down Expand Up @@ -1039,13 +1039,13 @@
"name": "Women Identifying as White Alone",
"statVar": "Count_Person_Female_WhiteAlone"
},
"Count_Person_Female_WithHealthInsurance_2019": {
"date": "2019",
"Count_Person_Female_WithHealthInsurance_1704193675": {
"facetId": "1704193675",
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
"Count_Person_Female_WithHealthInsurance_3376114862": {
"facetId": "3376114862",
"Count_Person_Female_WithHealthInsurance_2019": {
"date": "2019",
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
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12 changes: 6 additions & 6 deletions ...tests/test_data/e2e_date_range/femalepopulationincaliforniasinceapr2019/chart_config.json
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Expand Up @@ -357,7 +357,7 @@
"startDate": "2019"
},
"statVarKey": [
"Count_Person_Female_WithHealthInsurance_3376114862"
"Count_Person_Female_WithHealthInsurance_1704193675"
],
"title": "Women With Health Insurance in California",
"type": "LINE"
Expand Down Expand Up @@ -867,7 +867,7 @@
"startDate": "2019"
},
"statVarKey": [
"Count_Person_Female_ForeignBorn_10983471"
"Count_Person_Female_ForeignBorn_196790193"
],
"title": "Foreign Born Women in California",
"type": "LINE"
Expand Down Expand Up @@ -950,8 +950,8 @@
"name": "Foreign Born Women",
"statVar": "Count_Person_Female_ForeignBorn"
},
"Count_Person_Female_ForeignBorn_10983471": {
"facetId": "10983471",
"Count_Person_Female_ForeignBorn_196790193": {
"facetId": "196790193",
"name": "Foreign Born Women",
"statVar": "Count_Person_Female_ForeignBorn"
},
Expand Down Expand Up @@ -995,8 +995,8 @@
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
"Count_Person_Female_WithHealthInsurance_3376114862": {
"facetId": "3376114862",
"Count_Person_Female_WithHealthInsurance_1704193675": {
"facetId": "1704193675",
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
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10 changes: 5 additions & 5 deletions ...tion_tests/test_data/e2e_date_range/femalepopulationinnewyorkbefore2020/chart_config.json
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Expand Up @@ -163,7 +163,7 @@
"endDate": "2019"
},
"statVarKey": [
"Count_Person_Female_WithHealthInsurance_3376114862"
"Count_Person_Female_WithHealthInsurance_1704193675"
],
"title": "Women With Health Insurance in New York",
"type": "LINE"
Expand Down Expand Up @@ -585,13 +585,13 @@
"name": "Women Identifying as White Alone",
"statVar": "Count_Person_Female_WhiteAlone"
},
"Count_Person_Female_WithHealthInsurance_2019": {
"date": "2019",
"Count_Person_Female_WithHealthInsurance_1704193675": {
"facetId": "1704193675",
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
"Count_Person_Female_WithHealthInsurance_3376114862": {
"facetId": "3376114862",
"Count_Person_Female_WithHealthInsurance_2019": {
"date": "2019",
"name": "Women With Health Insurance",
"statVar": "Count_Person_Female_WithHealthInsurance"
},
Expand Down
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