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4f60729
Migrate PlaceInfo to V2 API and add verification tests
SandeepTuniki Feb 18, 2026
27b5843
Clean up comments and fix bug in get_series_dates
SandeepTuniki Mar 2, 2026
8951e07
Untrack verify_live_migration.py to exclude from PR
SandeepTuniki Mar 2, 2026
e2a3d92
Address review comments: Fix V2 API parsing and optimize BFS
SandeepTuniki Mar 2, 2026
1c8e04d
Fix linting and formatting issues in V2 migration files
SandeepTuniki Mar 2, 2026
d3daa46
Merge remote-tracking branch 'origin/master' into migrate-place-info-v2
SandeepTuniki Mar 16, 2026
bcd6392
fix: prioritize specific place types over administrative areas
SandeepTuniki Mar 16, 2026
5740a97
fix: hardcode United States name for country/USA to match V1 behavior
SandeepTuniki Mar 16, 2026
f768f55
style: fix python lint errors using yapf
SandeepTuniki Mar 16, 2026
4fb6f36
fix: skip bogus places in get_place_info
SandeepTuniki Mar 16, 2026
8da012e
fix: hardcode New York City name for geoId/3651000
SandeepTuniki Mar 16, 2026
6bb1972
fix: use recursive traversal in get_series_dates and update unit tests
SandeepTuniki Mar 16, 2026
ba42524
revert: remove New York City hardcoded name
SandeepTuniki Mar 16, 2026
1029f44
feat: Update goldens from Cloud Build workflow (build 276e2d55-2442-4…
datacommons-robot-author Mar 18, 2026
ac9b296
Merge remote-tracking branch 'origin/master' into migrate-place-info-…
SandeepTuniki Mar 18, 2026
1665c9c
refactor: Remove hardcoded name override for country/USA
SandeepTuniki Mar 18, 2026
9804dfd
feat: Update goldens from Cloud Build workflow (build 89397212-0490-4…
datacommons-robot-author Mar 18, 2026
1f44722
Fix: remove unused json import in migration_verification_test.py
SandeepTuniki Mar 18, 2026
cd17e63
Refactor: remove unused endpoints and move PLACE_TYPE_RANK to constants
SandeepTuniki Mar 18, 2026
8e760dc
Fix: remove unused variable 'ent' in get_series_dates
SandeepTuniki Mar 18, 2026
6d7058e
Refactor: apply minor cleanups in datacommons.py
SandeepTuniki Mar 18, 2026
eddf2cf
Test: Update webdriver event page tests to expect United States of Am…
SandeepTuniki Mar 18, 2026
908c4a7
Fix: Python style formatting in get_series_dates
SandeepTuniki Mar 18, 2026
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Original file line number Diff line number Diff line change
Expand Up @@ -31,15 +31,15 @@
"place": {
"dcid": "geoId/0667000",
"name": "San Francisco",
"place_type": "City"
"place_type": "AdministrativeArea2"
},
"placeFallback": {},
"placeSource": "CURRENT_QUERY",
"places": [
{
"dcid": "geoId/0667000",
"name": "San Francisco",
"place_type": "City"
"place_type": "AdministrativeArea2"
},
{
"dcid": "geoId/1714000",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@
0.38543,
0.38534,
0.38184,
0.37971
0.3797
],
"MultiSV": {},
"Query": "what types of genes are and",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@
0.63385,
0.63227,
0.63222,
0.63049,
0.6305,
0.6303,
0.62984,
0.62957
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -15,19 +15,19 @@
"statVarKey": [
"Count_Person_Female_1145703171"
],
"title": "Women in New York",
"title": "Women in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women in New York",
"description": "Women in New York City",
"statVarKey": [
"Count_Person_Female_2019"
],
"title": "Women in New York",
"title": "Women in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -49,7 +49,7 @@
"Count_Person_Female_1145703171",
"Count_Person_Male_1145703171"
],
"title": "Population by Gender in New York",
"title": "Population by Gender in New York City",
"type": "LINE"
}
]
Expand All @@ -69,19 +69,19 @@
"statVarKey": [
"Count_Person_Female_MarriedAndNotSeparated_2369573279"
],
"title": "Non-Separated Married Women in New York",
"title": "Non-Separated Married Women in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Non-Separated Married Women in New York",
"description": "Non-Separated Married Women in New York City",
"statVarKey": [
"Count_Person_Female_MarriedAndNotSeparated_2019"
],
"title": "Non-Separated Married Women in New York",
"title": "Non-Separated Married Women in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -101,19 +101,19 @@
"statVarKey": [
"Count_Person_Female_TwoOrMoreRaces_1145703171"
],
"title": "Women Identifying as Multiracial in New York",
"title": "Women Identifying as Multiracial in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women Identifying as Multiracial in New York",
"description": "Women Identifying as Multiracial in New York City",
"statVarKey": [
"Count_Person_Female_TwoOrMoreRaces_2019"
],
"title": "Women Identifying as Multiracial in New York",
"title": "Women Identifying as Multiracial in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -133,19 +133,19 @@
"statVarKey": [
"Count_Person_3OrMoreYears_Female_EnrolledInSchool_1145703171"
],
"title": "Population: Female, Enrolled in School in New York",
"title": "Population: Female, Enrolled in School in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Population: Female, Enrolled in School in New York",
"description": "Population: Female, Enrolled in School in New York City",
"statVarKey": [
"Count_Person_3OrMoreYears_Female_EnrolledInSchool_2019"
],
"title": "Population: Female, Enrolled in School in New York",
"title": "Population: Female, Enrolled in School in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -165,19 +165,19 @@
"statVarKey": [
"Count_Person_Female_WithHealthInsurance_1704193675"
],
"title": "Women With Health Insurance in New York",
"title": "Women With Health Insurance in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women With Health Insurance in New York",
"description": "Women With Health Insurance in New York City",
"statVarKey": [
"Count_Person_Female_WithHealthInsurance_2019"
],
"title": "Women With Health Insurance in New York",
"title": "Women With Health Insurance in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -197,19 +197,19 @@
"statVarKey": [
"Count_Person_Female_FullTimeYearRoundWorker_4208561269"
],
"title": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York",
"title": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York",
"description": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York City",
"statVarKey": [
"Count_Person_Female_FullTimeYearRoundWorker_2019"
],
"title": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York",
"title": "Population: 16-64 Years, Female, Full Time Year Round Worker in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -229,19 +229,19 @@
"statVarKey": [
"Median_Age_Person_Female_3795540742"
],
"title": "Women's Median Age in New York",
"title": "Women's Median Age in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women's Median Age in New York",
"description": "Women's Median Age in New York City",
"statVarKey": [
"Median_Age_Person_Female_2019"
],
"title": "Women's Median Age in New York",
"title": "Women's Median Age in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -260,19 +260,19 @@
"statVarKey": [
"Count_Person_Female_AsianAlone_1145703171"
],
"title": "Asian Monoracial Women in New York",
"title": "Asian Monoracial Women in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Asian Monoracial Women in New York",
"description": "Asian Monoracial Women in New York City",
"statVarKey": [
"Count_Person_Female_AsianAlone_2019"
],
"title": "Asian Monoracial Women in New York",
"title": "Asian Monoracial Women in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -292,19 +292,19 @@
"statVarKey": [
"Count_Person_Female_WhiteAlone_1145703171"
],
"title": "Women Identifying as White Alone in New York",
"title": "Women Identifying as White Alone in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women Identifying as White Alone in New York",
"description": "Women Identifying as White Alone in New York City",
"statVarKey": [
"Count_Person_Female_WhiteAlone_2019"
],
"title": "Women Identifying as White Alone in New York",
"title": "Women Identifying as White Alone in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -324,19 +324,19 @@
"statVarKey": [
"Count_Person_25OrMoreYears_EducationalAttainmentBachelorsDegreeOrHigher_Female_1118952551"
],
"title": "Population: Bachelors Degree or Higher, Female in New York",
"title": "Population: Bachelors Degree or Higher, Female in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Population: Bachelors Degree or Higher, Female in New York",
"description": "Population: Bachelors Degree or Higher, Female in New York City",
"statVarKey": [
"Count_Person_25OrMoreYears_EducationalAttainmentBachelorsDegreeOrHigher_Female_2019"
],
"title": "Population: Bachelors Degree or Higher, Female in New York",
"title": "Population: Bachelors Degree or Higher, Female in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -356,19 +356,19 @@
"statVarKey": [
"Count_Person_WithDisability_Female_4281944711"
],
"title": "Women With Disabilities in New York",
"title": "Women With Disabilities in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women With Disabilities in New York",
"description": "Women With Disabilities in New York City",
"statVarKey": [
"Count_Person_WithDisability_Female_2019"
],
"title": "Women With Disabilities in New York",
"title": "Women With Disabilities in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -388,19 +388,19 @@
"statVarKey": [
"Count_Person_25OrMoreYears_EducationalAttainmentBachelorsDegree_Female_1145703171"
],
"title": "Bachelors, Women in New York",
"title": "Bachelors, Women in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Bachelors, Women in New York",
"description": "Bachelors, Women in New York City",
"statVarKey": [
"Count_Person_25OrMoreYears_EducationalAttainmentBachelorsDegree_Female_2019"
],
"title": "Bachelors, Women in New York",
"title": "Bachelors, Women in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -420,19 +420,19 @@
"statVarKey": [
"Count_Person_16OrMoreYears_Female_WithEarnings_1472009826"
],
"title": "Population: 16 Years or More, Female, With Earnings in New York",
"title": "Population: 16 Years or More, Female, With Earnings in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Population: 16 Years or More, Female, With Earnings in New York",
"description": "Population: 16 Years or More, Female, With Earnings in New York City",
"statVarKey": [
"Count_Person_16OrMoreYears_Female_WithEarnings_2019"
],
"title": "Population: 16 Years or More, Female, With Earnings in New York",
"title": "Population: 16 Years or More, Female, With Earnings in New York City",
"type": "HIGHLIGHT"
}
]
Expand All @@ -452,19 +452,19 @@
"statVarKey": [
"Count_Person_85OrMoreYears_Female_1145703171"
],
"title": "Women Over 85 in New York",
"title": "Women Over 85 in New York City",
"type": "LINE"
}
]
},
{
"tiles": [
{
"description": "Women Over 85 in New York",
"description": "Women Over 85 in New York City",
"statVarKey": [
"Count_Person_85OrMoreYears_Female_2019"
],
"title": "Women Over 85 in New York",
"title": "Women Over 85 in New York City",
"type": "HIGHLIGHT"
}
]
Expand Down Expand Up @@ -635,15 +635,15 @@
"pastSourceContext": "",
"place": {
"dcid": "geoId/3651000",
"name": "New York",
"name": "New York City",
"place_type": "City"
},
"placeFallback": {},
"placeSource": "CURRENT_QUERY",
"places": [
{
"dcid": "geoId/3651000",
"name": "New York",
"name": "New York City",
"place_type": "City"
}
],
Expand Down
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