From 1b31e1312e00322c8f7ba68d722cc4ec45873339 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 17 Jun 2025 15:20:52 +0100 Subject: [PATCH 01/26] Move to sortition-algorithms library And change to use two tabs in the UI - one for CSV and one for Google Sheets. Note this commit has the CSV side working but not Google Sheets, and still contains quite a bit of old broken code in script.py --- .github/workflows/run-tests.yml | 52 - fixtures/candidates.csv | 151 -- fixtures/categories.csv | 21 - pyproject.toml | 198 ++- script.py | 317 +++- stratification.py | 2398 ------------------------------- test_end_to_end.py | 87 -- test_stratification.py | 501 ------- uv.lock | 773 +++++----- web/js/main.js | 484 ++++--- web/main.html | 409 +++--- 11 files changed, 1278 insertions(+), 4113 deletions(-) delete mode 100644 .github/workflows/run-tests.yml delete mode 100644 fixtures/candidates.csv delete mode 100644 fixtures/categories.csv delete mode 100644 stratification.py delete mode 100644 test_end_to_end.py delete mode 100644 test_stratification.py diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml deleted file mode 100644 index af78269..0000000 --- a/.github/workflows/run-tests.yml +++ /dev/null @@ -1,52 +0,0 @@ ---- -name: tests - -permissions: - contents: read - pull-requests: write - -on: [push] - -jobs: - build: - runs-on: ubuntu-24.04 - strategy: - matrix: - python-version: ["3.11", "3.12"] - - steps: - - uses: actions/checkout@v4 - - name: Install uv - uses: astral-sh/setup-uv@v5 - with: - version: "0.6.2" - python-version: ${{ matrix.python-version }} - enable-cache: true - cache-dependency-glob: "uv.lock" - - name: Report versions etc dependencies - run: | - uv run python -VV - uv run python -m site - uv sync --dev - - name: Test with pytest - run: | - uv run pytest -v --cov --cov-report=xml --cov-report=html --junitxml=junit/test-results-${{ matrix.python-version }}.xml - - name: Lint with Ruff - run: | - uv run ruff check --output-format=github --target-version=py312 - continue-on-error: true - - name: Reformat with Ruff (diff only) - run: | - uv run ruff format --diff --line-length=120 --target-version=py312 - continue-on-error: true - - name: Upload pytest test results - uses: actions/upload-artifact@v4 - with: - name: pytest-results-${{ matrix.python-version }} - path: | - junit/test-results-${{ matrix.python-version }}.xml - htmlcov/ - # default retention is 90 - retention-days: 30 - # Use always() to always run this step to publish test results when there are test failures - if: ${{ always() }} diff --git a/fixtures/candidates.csv b/fixtures/candidates.csv deleted file mode 100644 index b847a5c..0000000 --- a/fixtures/candidates.csv +++ /dev/null @@ -1,151 +0,0 @@ -nationbuilder_id,first_name,last_name,email,mobile_number,primary_address1,primary_address2,primary_city,primary_zip,gender,age_bracket,geo_bucket,edu_level -p0,first_name0,last_name0,email0,mobile_number0,primary_address10,primary_address20,primary_city0,primary_zip0,Male,30-44,South Scotland,Level 4 and above -p1,first_name1,last_name1,email1,mobile_number1,primary_address11,primary_address21,primary_city1,primary_zip1,Female,16-29,Lothian,Level 1 -p2,first_name2,last_name2,email2,mobile_number2,primary_address12,primary_address22,primary_city2,primary_zip2,Female,45-59,West Scotland,Level 2 or 3 -p3,first_name3,last_name3,email3,mobile_number3,primary_address13,primary_address23,primary_city3,primary_zip3,Male,30-44,Glasgow,Level 4 and above -p4,first_name4,last_name4,email4,mobile_number4,primary_address14,primary_address24,primary_city4,primary_zip4,Female,45-59,South Scotland,Level 1 -p5,first_name5,last_name5,email5,mobile_number5,primary_address15,primary_address25,primary_city5,primary_zip5,Male,16-29,Mid Scotland and Fife,Level 2 or 3 -p6,first_name6,last_name6,email6,mobile_number6,primary_address16,primary_address26,primary_city6,primary_zip6,Female,30-44,Lothian,Level 1 -p7,first_name7,last_name7,email7,mobile_number7,primary_address17,primary_address27,primary_city7,primary_zip7,Male,30-44,Mid Scotland and Fife,Level 4 and above -p8,first_name8,last_name8,email8,mobile_number8,primary_address18,primary_address28,primary_city8,primary_zip8,Female,45-59,Mid Scotland and Fife,Level 1 -p9,first_name9,last_name9,email9,mobile_number9,primary_address19,primary_address29,primary_city9,primary_zip9,Male,60+,North East Scotland,Level 1 -p10,first_name10,last_name10,email10,mobile_number10,primary_address110,primary_address210,primary_city10,primary_zip10,Male,45-59,Mid Scotland and Fife,Level 4 and above -p11,first_name11,last_name11,email11,mobile_number11,primary_address111,primary_address211,primary_city11,primary_zip11,Male,16-29,Central Scotland,Level 2 or 3 -p12,first_name12,last_name12,email12,mobile_number12,primary_address112,primary_address212,primary_city12,primary_zip12,Male,45-59,Mid Scotland and Fife,No qualifications -p13,first_name13,last_name13,email13,mobile_number13,primary_address113,primary_address213,primary_city13,primary_zip13,Male,16-29,Highlands and Islands,No qualifications -p14,first_name14,last_name14,email14,mobile_number14,primary_address114,primary_address214,primary_city14,primary_zip14,Female,60+,Lothian,Level 1 -p15,first_name15,last_name15,email15,mobile_number15,primary_address115,primary_address215,primary_city15,primary_zip15,Female,45-59,Mid Scotland and Fife,Level 1 -p16,first_name16,last_name16,email16,mobile_number16,primary_address116,primary_address216,primary_city16,primary_zip16,Male,16-29,North East Scotland,Level 1 -p17,first_name17,last_name17,email17,mobile_number17,primary_address117,primary_address217,primary_city17,primary_zip17,Female,45-59,Lothian,No qualifications -p18,first_name18,last_name18,email18,mobile_number18,primary_address118,primary_address218,primary_city18,primary_zip18,Female,45-59,Mid Scotland and Fife,Level 2 or 3 -p19,first_name19,last_name19,email19,mobile_number19,primary_address119,primary_address219,primary_city19,primary_zip19,Female,16-29,Glasgow,Level 4 and above -p20,first_name20,last_name20,email20,mobile_number20,primary_address120,primary_address220,primary_city20,primary_zip20,Male,60+,Highlands and Islands,No qualifications -p21,first_name21,last_name21,email21,mobile_number21,primary_address121,primary_address221,primary_city21,primary_zip21,Female,30-44,West Scotland,Level 2 or 3 -p22,first_name22,last_name22,email22,mobile_number22,primary_address122,primary_address222,primary_city22,primary_zip22,Female,16-29,North East Scotland,Level 2 or 3 -p23,first_name23,last_name23,email23,mobile_number23,primary_address123,primary_address223,primary_city23,primary_zip23,Female,16-29,Highlands and Islands,Level 1 -p24,first_name24,last_name24,email24,mobile_number24,primary_address124,primary_address224,primary_city24,primary_zip24,Male,30-44,Glasgow,Level 4 and above -p25,first_name25,last_name25,email25,mobile_number25,primary_address125,primary_address225,primary_city25,primary_zip25,Female,45-59,Highlands and Islands,No qualifications -p26,first_name26,last_name26,email26,mobile_number26,primary_address126,primary_address226,primary_city26,primary_zip26,Male,45-59,South Scotland,Level 4 and above -p27,first_name27,last_name27,email27,mobile_number27,primary_address127,primary_address227,primary_city27,primary_zip27,Male,16-29,Glasgow,Level 4 and above -p28,first_name28,last_name28,email28,mobile_number28,primary_address128,primary_address228,primary_city28,primary_zip28,Male,16-29,Mid Scotland and Fife,No qualifications -p29,first_name29,last_name29,email29,mobile_number29,primary_address129,primary_address229,primary_city29,primary_zip29,Male,60+,North East Scotland,Level 4 and above -p30,first_name30,last_name30,email30,mobile_number30,primary_address130,primary_address230,primary_city30,primary_zip30,Female,60+,North East Scotland,Level 1 -p31,first_name31,last_name31,email31,mobile_number31,primary_address131,primary_address231,primary_city31,primary_zip31,Female,60+,Glasgow,Level 4 and above -p32,first_name32,last_name32,email32,mobile_number32,primary_address132,primary_address232,primary_city32,primary_zip32,Male,60+,Highlands and Islands,Level 4 and above -p33,first_name33,last_name33,email33,mobile_number33,primary_address133,primary_address233,primary_city33,primary_zip33,Male,16-29,West Scotland,Level 2 or 3 -p34,first_name34,last_name34,email34,mobile_number34,primary_address134,primary_address234,primary_city34,primary_zip34,Male,60+,Mid Scotland and Fife,No qualifications -p35,first_name35,last_name35,email35,mobile_number35,primary_address135,primary_address235,primary_city35,primary_zip35,Female,60+,North East Scotland,Level 4 and above -p36,first_name36,last_name36,email36,mobile_number36,primary_address136,primary_address236,primary_city36,primary_zip36,Male,60+,North East Scotland,Level 1 -p37,first_name37,last_name37,email37,mobile_number37,primary_address137,primary_address237,primary_city37,primary_zip37,Male,30-44,Mid Scotland and Fife,No qualifications -p38,first_name38,last_name38,email38,mobile_number38,primary_address138,primary_address238,primary_city38,primary_zip38,Female,60+,South Scotland,Level 1 -p39,first_name39,last_name39,email39,mobile_number39,primary_address139,primary_address239,primary_city39,primary_zip39,Female,45-59,Highlands and Islands,Level 1 -p40,first_name40,last_name40,email40,mobile_number40,primary_address140,primary_address240,primary_city40,primary_zip40,Male,16-29,Highlands and Islands,Level 1 -p41,first_name41,last_name41,email41,mobile_number41,primary_address141,primary_address241,primary_city41,primary_zip41,Male,16-29,Highlands and Islands,No qualifications -p42,first_name42,last_name42,email42,mobile_number42,primary_address142,primary_address242,primary_city42,primary_zip42,Female,45-59,Highlands and Islands,Level 1 -p43,first_name43,last_name43,email43,mobile_number43,primary_address143,primary_address243,primary_city43,primary_zip43,Male,60+,Mid Scotland and Fife,No qualifications -p44,first_name44,last_name44,email44,mobile_number44,primary_address144,primary_address244,primary_city44,primary_zip44,Male,16-29,Lothian,Level 1 -p45,first_name45,last_name45,email45,mobile_number45,primary_address145,primary_address245,primary_city45,primary_zip45,Female,60+,West Scotland,No qualifications -p46,first_name46,last_name46,email46,mobile_number46,primary_address146,primary_address246,primary_city46,primary_zip46,Female,60+,Mid Scotland and Fife,No qualifications -p47,first_name47,last_name47,email47,mobile_number47,primary_address147,primary_address247,primary_city47,primary_zip47,Female,45-59,South Scotland,No qualifications -p48,first_name48,last_name48,email48,mobile_number48,primary_address148,primary_address248,primary_city48,primary_zip48,Female,16-29,South Scotland,No qualifications -p49,first_name49,last_name49,email49,mobile_number49,primary_address149,primary_address249,primary_city49,primary_zip49,Female,30-44,Mid Scotland and Fife,No qualifications -p50,first_name50,last_name50,email50,mobile_number50,primary_address150,primary_address250,primary_city50,primary_zip50,Male,60+,Mid Scotland and Fife,No qualifications -p51,first_name51,last_name51,email51,mobile_number51,primary_address151,primary_address251,primary_city51,primary_zip51,Male,60+,Mid Scotland and Fife,Level 2 or 3 -p52,first_name52,last_name52,email52,mobile_number52,primary_address152,primary_address252,primary_city52,primary_zip52,Female,30-44,Central Scotland,Level 2 or 3 -p53,first_name53,last_name53,email53,mobile_number53,primary_address153,primary_address253,primary_city53,primary_zip53,Female,60+,North East Scotland,Level 4 and above -p54,first_name54,last_name54,email54,mobile_number54,primary_address154,primary_address254,primary_city54,primary_zip54,Male,60+,Highlands and Islands,Level 1 -p55,first_name55,last_name55,email55,mobile_number55,primary_address155,primary_address255,primary_city55,primary_zip55,Male,16-29,Highlands and Islands,Level 2 or 3 -p56,first_name56,last_name56,email56,mobile_number56,primary_address156,primary_address256,primary_city56,primary_zip56,Male,16-29,West Scotland,No qualifications -p57,first_name57,last_name57,email57,mobile_number57,primary_address157,primary_address257,primary_city57,primary_zip57,Female,60+,Highlands and Islands,Level 2 or 3 -p58,first_name58,last_name58,email58,mobile_number58,primary_address158,primary_address258,primary_city58,primary_zip58,Male,45-59,West Scotland,Level 2 or 3 -p59,first_name59,last_name59,email59,mobile_number59,primary_address159,primary_address259,primary_city59,primary_zip59,Male,16-29,West Scotland,No qualifications -p60,first_name60,last_name60,email60,mobile_number60,primary_address160,primary_address260,primary_city60,primary_zip60,Male,16-29,North East Scotland,Level 4 and above -p61,first_name61,last_name61,email61,mobile_number61,primary_address161,primary_address261,primary_city61,primary_zip61,Male,16-29,Highlands and Islands,No qualifications -p62,first_name62,last_name62,email62,mobile_number62,primary_address162,primary_address262,primary_city62,primary_zip62,Male,16-29,Highlands and Islands,Level 2 or 3 -p63,first_name63,last_name63,email63,mobile_number63,primary_address163,primary_address263,primary_city63,primary_zip63,Male,45-59,South Scotland,No qualifications -p64,first_name64,last_name64,email64,mobile_number64,primary_address164,primary_address264,primary_city64,primary_zip64,Female,45-59,South Scotland,No qualifications -p65,first_name65,last_name65,email65,mobile_number65,primary_address165,primary_address265,primary_city65,primary_zip65,Male,30-44,Central Scotland,Level 4 and above -p66,first_name66,last_name66,email66,mobile_number66,primary_address166,primary_address266,primary_city66,primary_zip66,Female,30-44,South Scotland,No qualifications -p67,first_name67,last_name67,email67,mobile_number67,primary_address167,primary_address267,primary_city67,primary_zip67,Male,45-59,Mid Scotland and Fife,Level 4 and above -p68,first_name68,last_name68,email68,mobile_number68,primary_address168,primary_address268,primary_city68,primary_zip68,Female,60+,Mid Scotland and Fife,No qualifications -p69,first_name69,last_name69,email69,mobile_number69,primary_address169,primary_address269,primary_city69,primary_zip69,Male,16-29,South Scotland,Level 4 and above -p70,first_name70,last_name70,email70,mobile_number70,primary_address170,primary_address270,primary_city70,primary_zip70,Male,45-59,Lothian,Level 2 or 3 -p71,first_name71,last_name71,email71,mobile_number71,primary_address171,primary_address271,primary_city71,primary_zip71,Male,30-44,Highlands and Islands,No qualifications -p72,first_name72,last_name72,email72,mobile_number72,primary_address172,primary_address272,primary_city72,primary_zip72,Male,60+,West Scotland,Level 4 and above -p73,first_name73,last_name73,email73,mobile_number73,primary_address173,primary_address273,primary_city73,primary_zip73,Male,60+,Mid Scotland and Fife,Level 1 -p74,first_name74,last_name74,email74,mobile_number74,primary_address174,primary_address274,primary_city74,primary_zip74,Male,45-59,West Scotland,Level 1 -p75,first_name75,last_name75,email75,mobile_number75,primary_address175,primary_address275,primary_city75,primary_zip75,Female,30-44,Central Scotland,Level 4 and above -p76,first_name76,last_name76,email76,mobile_number76,primary_address176,primary_address276,primary_city76,primary_zip76,Male,16-29,Central Scotland,Level 2 or 3 -p77,first_name77,last_name77,email77,mobile_number77,primary_address177,primary_address277,primary_city77,primary_zip77,Female,60+,West Scotland,Level 2 or 3 -p78,first_name78,last_name78,email78,mobile_number78,primary_address178,primary_address278,primary_city78,primary_zip78,Female,45-59,Mid Scotland and Fife,Level 4 and above -p79,first_name79,last_name79,email79,mobile_number79,primary_address179,primary_address279,primary_city79,primary_zip79,Male,30-44,Highlands and Islands,Level 1 -p80,first_name80,last_name80,email80,mobile_number80,primary_address180,primary_address280,primary_city80,primary_zip80,Male,30-44,West Scotland,No qualifications -p81,first_name81,last_name81,email81,mobile_number81,primary_address181,primary_address281,primary_city81,primary_zip81,Male,30-44,Central Scotland,No qualifications -p82,first_name82,last_name82,email82,mobile_number82,primary_address182,primary_address282,primary_city82,primary_zip82,Female,16-29,Glasgow,Level 2 or 3 -p83,first_name83,last_name83,email83,mobile_number83,primary_address183,primary_address283,primary_city83,primary_zip83,Male,16-29,Mid Scotland and Fife,Level 1 -p84,first_name84,last_name84,email84,mobile_number84,primary_address184,primary_address284,primary_city84,primary_zip84,Female,45-59,Glasgow,Level 1 -p85,first_name85,last_name85,email85,mobile_number85,primary_address185,primary_address285,primary_city85,primary_zip85,Female,45-59,Lothian,Level 4 and above -p86,first_name86,last_name86,email86,mobile_number86,primary_address186,primary_address286,primary_city86,primary_zip86,Female,60+,Glasgow,Level 1 -p87,first_name87,last_name87,email87,mobile_number87,primary_address187,primary_address287,primary_city87,primary_zip87,Male,45-59,Glasgow,Level 1 -p88,first_name88,last_name88,email88,mobile_number88,primary_address188,primary_address288,primary_city88,primary_zip88,Female,45-59,Lothian,No qualifications -p89,first_name89,last_name89,email89,mobile_number89,primary_address189,primary_address289,primary_city89,primary_zip89,Female,30-44,West Scotland,Level 1 -p90,first_name90,last_name90,email90,mobile_number90,primary_address190,primary_address290,primary_city90,primary_zip90,Male,60+,Central Scotland,No qualifications -p91,first_name91,last_name91,email91,mobile_number91,primary_address191,primary_address291,primary_city91,primary_zip91,Male,30-44,Highlands and Islands,Level 4 and above -p92,first_name92,last_name92,email92,mobile_number92,primary_address192,primary_address292,primary_city92,primary_zip92,Male,45-59,South Scotland,Level 1 -p93,first_name93,last_name93,email93,mobile_number93,primary_address193,primary_address293,primary_city93,primary_zip93,Female,45-59,North East Scotland,Level 1 -p94,first_name94,last_name94,email94,mobile_number94,primary_address194,primary_address294,primary_city94,primary_zip94,Male,16-29,West Scotland,Level 2 or 3 -p95,first_name95,last_name95,email95,mobile_number95,primary_address195,primary_address295,primary_city95,primary_zip95,Female,30-44,Lothian,No qualifications -p96,first_name96,last_name96,email96,mobile_number96,primary_address196,primary_address296,primary_city96,primary_zip96,Male,45-59,Lothian,No qualifications -p97,first_name97,last_name97,email97,mobile_number97,primary_address197,primary_address297,primary_city97,primary_zip97,Male,16-29,Mid Scotland and Fife,Level 1 -p98,first_name98,last_name98,email98,mobile_number98,primary_address198,primary_address298,primary_city98,primary_zip98,Male,16-29,Glasgow,Level 1 -p99,first_name99,last_name99,email99,mobile_number99,primary_address199,primary_address299,primary_city99,primary_zip99,Female,16-29,Lothian,Level 4 and above -p100,first_name100,last_name100,email100,mobile_number100,primary_address1100,primary_address2100,primary_city100,primary_zip100,Male,60+,Glasgow,Level 1 -p101,first_name101,last_name101,email101,mobile_number101,primary_address1101,primary_address2101,primary_city101,primary_zip101,Female,60+,Highlands and Islands,Level 4 and above -p102,first_name102,last_name102,email102,mobile_number102,primary_address1102,primary_address2102,primary_city102,primary_zip102,Female,60+,Glasgow,No qualifications -p103,first_name103,last_name103,email103,mobile_number103,primary_address1103,primary_address2103,primary_city103,primary_zip103,Female,16-29,North East Scotland,Level 4 and above -p104,first_name104,last_name104,email104,mobile_number104,primary_address1104,primary_address2104,primary_city104,primary_zip104,Male,60+,South Scotland,No qualifications -p105,first_name105,last_name105,email105,mobile_number105,primary_address1105,primary_address2105,primary_city105,primary_zip105,Female,30-44,Central Scotland,Level 1 -p106,first_name106,last_name106,email106,mobile_number106,primary_address1106,primary_address2106,primary_city106,primary_zip106,Female,45-59,Highlands and Islands,Level 4 and above -p107,first_name107,last_name107,email107,mobile_number107,primary_address1107,primary_address2107,primary_city107,primary_zip107,Female,45-59,West Scotland,Level 4 and above -p108,first_name108,last_name108,email108,mobile_number108,primary_address1108,primary_address2108,primary_city108,primary_zip108,Female,30-44,West Scotland,Level 2 or 3 -p109,first_name109,last_name109,email109,mobile_number109,primary_address1109,primary_address2109,primary_city109,primary_zip109,Male,60+,Central Scotland,Level 4 and above -p110,first_name110,last_name110,email110,mobile_number110,primary_address1110,primary_address2110,primary_city110,primary_zip110,Male,30-44,North East Scotland,No qualifications -p111,first_name111,last_name111,email111,mobile_number111,primary_address1111,primary_address2111,primary_city111,primary_zip111,Female,60+,Lothian,Level 2 or 3 -p112,first_name112,last_name112,email112,mobile_number112,primary_address1112,primary_address2112,primary_city112,primary_zip112,Male,16-29,Mid Scotland and Fife,Level 4 and above -p113,first_name113,last_name113,email113,mobile_number113,primary_address1113,primary_address2113,primary_city113,primary_zip113,Female,16-29,Mid Scotland and Fife,Level 1 -p114,first_name114,last_name114,email114,mobile_number114,primary_address1114,primary_address2114,primary_city114,primary_zip114,Female,30-44,Glasgow,No qualifications -p115,first_name115,last_name115,email115,mobile_number115,primary_address1115,primary_address2115,primary_city115,primary_zip115,Male,16-29,Lothian,Level 4 and above -p116,first_name116,last_name116,email116,mobile_number116,primary_address1116,primary_address2116,primary_city116,primary_zip116,Female,60+,North East Scotland,Level 4 and above -p117,first_name117,last_name117,email117,mobile_number117,primary_address1117,primary_address2117,primary_city117,primary_zip117,Female,60+,West Scotland,Level 4 and above -p118,first_name118,last_name118,email118,mobile_number118,primary_address1118,primary_address2118,primary_city118,primary_zip118,Male,16-29,Central Scotland,Level 2 or 3 -p119,first_name119,last_name119,email119,mobile_number119,primary_address1119,primary_address2119,primary_city119,primary_zip119,Male,60+,North East Scotland,Level 4 and above -p120,first_name120,last_name120,email120,mobile_number120,primary_address1120,primary_address2120,primary_city120,primary_zip120,Male,30-44,Lothian,Level 4 and above -p121,first_name121,last_name121,email121,mobile_number121,primary_address1121,primary_address2121,primary_city121,primary_zip121,Female,60+,Glasgow,Level 1 -p122,first_name122,last_name122,email122,mobile_number122,primary_address1122,primary_address2122,primary_city122,primary_zip122,Female,30-44,Mid Scotland and Fife,Level 4 and above -p123,first_name123,last_name123,email123,mobile_number123,primary_address1123,primary_address2123,primary_city123,primary_zip123,Female,45-59,North East Scotland,Level 4 and above -p124,first_name124,last_name124,email124,mobile_number124,primary_address1124,primary_address2124,primary_city124,primary_zip124,Male,30-44,Mid Scotland and Fife,Level 4 and above -p125,first_name125,last_name125,email125,mobile_number125,primary_address1125,primary_address2125,primary_city125,primary_zip125,Female,45-59,Highlands and Islands,Level 1 -p126,first_name126,last_name126,email126,mobile_number126,primary_address1126,primary_address2126,primary_city126,primary_zip126,Female,30-44,South Scotland,Level 1 -p127,first_name127,last_name127,email127,mobile_number127,primary_address1127,primary_address2127,primary_city127,primary_zip127,Female,16-29,Lothian,Level 2 or 3 -p128,first_name128,last_name128,email128,mobile_number128,primary_address1128,primary_address2128,primary_city128,primary_zip128,Male,30-44,Glasgow,No qualifications -p129,first_name129,last_name129,email129,mobile_number129,primary_address1129,primary_address2129,primary_city129,primary_zip129,Female,60+,Central Scotland,Level 1 -p130,first_name130,last_name130,email130,mobile_number130,primary_address1130,primary_address2130,primary_city130,primary_zip130,Female,60+,Lothian,No qualifications -p131,first_name131,last_name131,email131,mobile_number131,primary_address1131,primary_address2131,primary_city131,primary_zip131,Female,30-44,South Scotland,Level 4 and above -p132,first_name132,last_name132,email132,mobile_number132,primary_address1132,primary_address2132,primary_city132,primary_zip132,Female,45-59,Central Scotland,Level 1 -p133,first_name133,last_name133,email133,mobile_number133,primary_address1133,primary_address2133,primary_city133,primary_zip133,Female,45-59,Lothian,Level 2 or 3 -p134,first_name134,last_name134,email134,mobile_number134,primary_address1134,primary_address2134,primary_city134,primary_zip134,Female,45-59,Lothian,Level 1 -p135,first_name135,last_name135,email135,mobile_number135,primary_address1135,primary_address2135,primary_city135,primary_zip135,Female,60+,Glasgow,Level 2 or 3 -p136,first_name136,last_name136,email136,mobile_number136,primary_address1136,primary_address2136,primary_city136,primary_zip136,Female,45-59,Glasgow,No qualifications -p137,first_name137,last_name137,email137,mobile_number137,primary_address1137,primary_address2137,primary_city137,primary_zip137,Male,45-59,Central Scotland,Level 2 or 3 -p138,first_name138,last_name138,email138,mobile_number138,primary_address1138,primary_address2138,primary_city138,primary_zip138,Female,16-29,Glasgow,Level 2 or 3 -p139,first_name139,last_name139,email139,mobile_number139,primary_address1139,primary_address2139,primary_city139,primary_zip139,Female,60+,Central Scotland,Level 4 and above -p140,first_name140,last_name140,email140,mobile_number140,primary_address1140,primary_address2140,primary_city140,primary_zip140,Female,60+,South Scotland,Level 2 or 3 -p141,first_name141,last_name141,email141,mobile_number141,primary_address1141,primary_address2141,primary_city141,primary_zip141,Female,45-59,South Scotland,Level 2 or 3 -p142,first_name142,last_name142,email142,mobile_number142,primary_address1142,primary_address2142,primary_city142,primary_zip142,Male,16-29,Central Scotland,Level 4 and above -p143,first_name143,last_name143,email143,mobile_number143,primary_address1143,primary_address2143,primary_city143,primary_zip143,Male,45-59,Glasgow,Level 2 or 3 -p144,first_name144,last_name144,email144,mobile_number144,primary_address1144,primary_address2144,primary_city144,primary_zip144,Female,16-29,Central Scotland,Level 4 and above -p145,first_name145,last_name145,email145,mobile_number145,primary_address1145,primary_address2145,primary_city145,primary_zip145,Female,60+,Highlands and Islands,Level 1 -p146,first_name146,last_name146,email146,mobile_number146,primary_address1146,primary_address2146,primary_city146,primary_zip146,Female,16-29,North East Scotland,Level 2 or 3 -p147,first_name147,last_name147,email147,mobile_number147,primary_address1147,primary_address2147,primary_city147,primary_zip147,Female,60+,Highlands and Islands,No qualifications -p148,first_name148,last_name148,email148,mobile_number148,primary_address1148,primary_address2148,primary_city148,primary_zip148,Male,16-29,Mid Scotland and Fife,Level 1 -p149,first_name149,last_name149,email149,mobile_number149,primary_address1149,primary_address2149,primary_city149,primary_zip149,Male,45-59,West Scotland,Level 4 and above diff --git a/fixtures/categories.csv b/fixtures/categories.csv deleted file mode 100644 index 73ab8c1..0000000 --- a/fixtures/categories.csv +++ /dev/null @@ -1,21 +0,0 @@ -category,name,min,max,min_flex,max_flex -gender,Female,11,12,0,12 -gender,Male,10,11,0,12 -gender,Non-binary or other,0,1,0,1 -age_bracket,0-15,0,0,0,0 -age_bracket,16-29,5,7,0,7 -age_bracket,30-44,5,7,0,7 -age_bracket,45-59,5,6,0,6 -age_bracket,60+,5,6,0,6 -edu_level,No qualifications,5,7,0,7 -edu_level,Level 1,5,7,0,7 -edu_level,Level 2 or 3,5,6,0,6 -edu_level,Level 4 and above,5,6,0,6 -geo_bucket,Central Scotland,3,5,0,5 -geo_bucket,Glasgow,3,5,0,5 -geo_bucket,Highlands and Islands,2,5,0,5 -geo_bucket,Lothian,3,5,0,5 -geo_bucket,Mid Scotland and Fife,3,5,0,5 -geo_bucket,North East Scotland,2,5,0,5 -geo_bucket,South Scotland,3,5,0,5 -geo_bucket,West Scotland,3,5,0,5 diff --git a/pyproject.toml b/pyproject.toml index c6296c1..e478fef 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,26 +5,20 @@ description = "Application to select people from a spreadsheet according to give authors = [ "Nick Gill ", "Brett Hennig ", - "Paul Goelz " + "Paul Goelz ", ] readme = "README.md" requires-python = ">=3.11,<3.13" dependencies = [ - "cvxpy==1.5.3", - "Eel==0.17.0", - "gspread==6.1.4", - "mip==1.15.0", - "oauth2client==4.1.3", - "pyinstaller==6.11.1", - "toml==0.10.2", + "Eel==0.17.0", + "oauth2client==4.1.3", + "pyinstaller==6.11.1", + "sortition-algorithms>=0.9.1", + "toml==0.10.2", ] [dependency-groups] -dev = [ - "pytest>=8.3.4", - "pytest-cov>=6.0.0", - "ruff>=0.9.7", -] +dev = ["pytest>=8.3.4", "pytest-cov>=6.0.0", "ruff>=0.9.7"] [tool.mypy] python_version = "3.12" @@ -40,107 +34,105 @@ line-length = 120 [tool.ruff.lint] select = [ - "F", - "E", - "W", - "C90", - "I", - "N", - "UP", - "YTT", - # "ANN", # flake8-annotations: we should support this in the future but 100+ errors atm - "ASYNC", - "S", - "BLE", - "FBT", - "B", - "A", - "COM", - "C4", - "DTZ", - "T10", - "DJ", - "EM", - "EXE", - "FA", - "ISC", - "ICN", - "G", - "INP", - "PIE", - "T20", - "PYI", - # "PT", - "Q", - "RSE", - "RET", - "SLF", - "SLOT", - "SIM", - "TID", - "TCH", - "INT", - # "ARG", # Unused function argument - "PTH", - "ERA", - "PD", - "PGH", - "PL", - "TRY", - "FLY", - # "NPY", - # "AIR", - "PERF", - # "FURB", - # "LOG", - "RUF", + "F", + "E", + "W", + "C90", + "I", + "N", + "UP", + "YTT", + # "ANN", # flake8-annotations: we should support this in the future but 100+ errors atm + "ASYNC", + "S", + "BLE", + "FBT", + "B", + "A", + "COM", + "C4", + "DTZ", + "T10", + "DJ", + "EM", + "EXE", + "FA", + "ISC", + "ICN", + "G", + "INP", + "PIE", + "T20", + "PYI", + # "PT", + "Q", + "RSE", + "RET", + "SLF", + "SLOT", + "SIM", + "TID", + "TCH", + "INT", + # "ARG", # Unused function argument + "PTH", + "ERA", + "PD", + "PGH", + "PL", + "TRY", + "FLY", + # "NPY", + # "AIR", + "PERF", + # "FURB", + # "LOG", + "RUF", ] ignore = [ - # TODO: reinstate this - "B017", #assertRaises(Exception) - "C901", # too complex - "FBT001", # positional boolean arg in function defn - "PLR0912", # too many branches - "PLR0913", # too many args in function defn - "PLR0915", # too many statements - "RUF012", # Mutable class attributes should be annotated with `typing.ClassVar` - "S101", # Use of assert detected https://docs.astral.sh/ruff/rules/assert/ - "S311", # pseudo-random - it's not security - "SIM102", # sometimes it's better to nest - "T201", # `print` found - fine to use it for now - "TRY301", # abstract raise to an inner function - "UP038", # Checks for uses of isinstance/issubclass that take a tuple - # of types for comparison. - # Deactivated because it can make the code slow: - # https://github.com/astral-sh/ruff/issues/7871 + # TODO: reinstate this + "B017", #assertRaises(Exception) + "C901", # too complex + "FBT001", # positional boolean arg in function defn + "PLR0912", # too many branches + "PLR0913", # too many args in function defn + "PLR0915", # too many statements + "RUF012", # Mutable class attributes should be annotated with `typing.ClassVar` + "S101", # Use of assert detected https://docs.astral.sh/ruff/rules/assert/ + "S311", # pseudo-random - it's not security + "SIM102", # sometimes it's better to nest + "T201", # `print` found - fine to use it for now + "TRY301", # abstract raise to an inner function + "UP038", # Checks for uses of isinstance/issubclass that take a tuple + # of types for comparison. + # Deactivated because it can make the code slow: + # https://github.com/astral-sh/ruff/issues/7871 ] # The fixes in extend-unsafe-fixes will require # provide the `--unsafe-fixes` flag when fixing. -extend-unsafe-fixes = [ - "UP038", -] +extend-unsafe-fixes = ["UP038"] #[tool.ruff.per-file-ignores] [tool.ruff.lint.extend-per-file-ignores] "**/tests/**/*.py" = [ - # at least these should be fine in tests: - "S101", # asserts allowed in tests... - "S106", # hardcoded passwords - "ARG", # Unused function args -> fixtures nevertheless are functionally relevant... - "FBT", # Don't care about booleans as positional arguments in tests, e.g. via @pytest.mark.parametrize() - # The below are debateable - "PLR2004", # Magic value used in comparison, ... - "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes + # at least these should be fine in tests: + "S101", # asserts allowed in tests... + "S106", # hardcoded passwords + "ARG", # Unused function args -> fixtures nevertheless are functionally relevant... + "FBT", # Don't care about booleans as positional arguments in tests, e.g. via @pytest.mark.parametrize() + # The below are debateable + "PLR2004", # Magic value used in comparison, ... + "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes ] "**/tests/*" = [ - # at least these should be fine in tests: - "S101", # asserts allowed in tests... - "S106", # hardcoded passwords - "ARG", # Unused function args -> fixtures nevertheless are functionally relevant... - "FBT", # Don't care about booleans as positional arguments in tests, e.g. via @pytest.mark.parametrize() - # The below are debateable - "PLR2004", # Magic value used in comparison, ... - "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes + # at least these should be fine in tests: + "S101", # asserts allowed in tests... + "S106", # hardcoded passwords + "ARG", # Unused function args -> fixtures nevertheless are functionally relevant... + "FBT", # Don't care about booleans as positional arguments in tests, e.g. via @pytest.mark.parametrize() + # The below are debateable + "PLR2004", # Magic value used in comparison, ... + "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes ] [tool.ruff.lint.isort] diff --git a/script.py b/script.py index d9f1452..20285da 100644 --- a/script.py +++ b/script.py @@ -1,45 +1,248 @@ +from ast import Str +from io import StringIO import platform import sys +from pathlib import Path import eel import gspread +from sortition_algorithms import Settings, adapters, core, features, people -from stratification import ( - PeopleAndCatsCSV, - PeopleAndCatsGoogleSheet, - Settings, -) +# from stratification import ( +# PeopleAndCatsCSV, +# PeopleAndCatsGoogleSheet, +# ) +DEFAULT_SETTINGS_PATH = Path.home() / "sf_stratification_settings.toml" +DEFAULT_AUTH_JSON_PATH = Path.home() / "sf_stratification_settings.toml" -# to be honest this is no longer a file contents class - it's a GUI interface handler -# all the "content" has been moved into the PeopleAndCats class and its children -class FileContents: + +class SettingsHolder: def __init__(self): - self.PeopleAndCats = None - self._settings = None - # All of these below are only used in the Google Sheet version - self.g_sheet_name = "" - self.respondents_tab_name = "Respondents" # Instance attribute for Advanced Settings - self.category_tab_name = "Categories" # Instance attribute for Advanced Settings - self.gen_rem_tab = "on" # Instance attribute for Advanced Settings - self.number_selections = ( - 1 # Instance attribute for Advanced Settings (then later stored in PeopleAndCats) - ) + self._settings: Settings | None = None @property - def settings(self): - self._init_settings() + def settings(self) -> Settings: + self.init_settings() + assert self._settings is not None return self._settings - def _init_settings(self): + def init_settings(self) -> str: """ Call from lots of places to report the error early """ message = "" if self._settings is None: - self._settings, message = Settings.load_from_file() + try: + self._settings, message = Settings.load_from_file( + settings_file_path=DEFAULT_SETTINGS_PATH + ) + except Exception as error: + return f"Error reading in settings file: {error}" return message + def loaded(self) -> bool: + return self._settings is not None + + +settings_holder = SettingsHolder() + + +class CSVHandler: + def __init__(self): + self.adapter = adapters.CSVAdapter() + self.features: features.FeatureCollection | None = None + self.people: people.People | None = None + # cache this in case we need to reload + self.people_contents: str = "" + self.panel_size: int = 0 + + def add_feature_content(self, file_contents: str): + all_msg: list[str] = [] + if not file_contents: + all_msg.append("No file contents - was the file empty?") + eel.update_csv_features_output_area("
".join(all_msg)) + return + message = settings_holder.init_settings() + if message: + all_msg.append(message) + if not settings_holder.loaded(): + eel.update_csv_features_output_area("
".join(all_msg)) + return + try: + self.features, msgs = self.adapter.load_features_from_str(file_contents) + all_msg += msgs + except Exception as error: + all_msg.append(f"Failed to load features: {error}") + eel.update_csv_features_output_area("
".join(all_msg)) + if not self.features: + return + eel.enable_csv_selection_content() + min_size = self.features.minimum_selection() + max_size = self.features.maximum_selection() + eel.update_csv_selection_range(min_size, max_size) + # if these are the same just set the value! + if min_size == max_size and min_size > 0: + eel.set_csv_panel_size(str(min_size)) + self.panel_size = min_size + # reset people, might need to be reloaded with features + if self.people: + self.add_people_content(self.people_contents) + + def add_people_content(self, file_contents: str): + all_msg: list[str] = [] + assert self.features is not None + try: + self.people, msgs = self.adapter.load_people_from_str( + file_contents, + settings_holder.settings, + self.features, + ) + # now we've done a successful load, cache the results + self.people_contents = file_contents + all_msg += msgs + except Exception as error: + all_msg.append(f"Failed to load people: {error}") + eel.update_csv_selection_output_area("
".join(all_msg)) + self.update_run_button() + + def update_panel_size(self, panel_size: str) -> None: + if panel_size == "": + self.panel_size = 1 + else: + self.panel_size = int(panel_size.strip()) + + def update_run_button(self): + if self.features and self.people and self.panel_size > 0: + eel.enable_csv_run_button() + else: + eel.disable_csv_run_button() + if self.panel_size <= 0: + eel.set_csv_panel_size("") + + def run_selection(self, test_selection: bool): + all_msg: list[str] = [] + assert self.people is not None and self.features is not None + # they may have hit this button again, so clear the output area so it's more obvious + eel.update_selection_output_messages_area("Selecting... please wait...
") + success, people_selected, msgs = core.run_stratification( + self.features, + self.people, + self.panel_size, + settings_holder.settings, + test_selection=test_selection, + ) + all_msg += msgs + selected_rows, remaining_rows, _ = core.selected_remaining_tables( + self.people, people_selected[0], self.features, settings_holder.settings + ) + if success: + self.adapter.selected_file = StringIO() + self.adapter.remaining_file = StringIO() + self.adapter.output_selected_remaining(selected_rows, remaining_rows) + eel.enable_csv_selected_download( + self.adapter.selected_file.getvalue(), + "selected.csv", + ) + eel.enable_csv_remaining_download( + self.adapter.remaining_file.getvalue(), + "remaining.csv", + ) + # print output_lines to the App: + eel.update_selection_output_messages_area("
".join(all_msg)) + + +class GSheetHandler: + clear_message = "Number of features: You must (re)load sheet..." + + def __init__(self): + self.adapter = adapters.GSheetAdapter(DEFAULT_AUTH_JSON_PATH) + self.features: features.FeatureCollection | None = None + self.people: people.People | None = None + self.panel_size: int = 0 + + def _clear_messages(self, normal_message: str = clear_message): + eel.update_g_sheet_features_output_area(normal_message) + eel.update_g_sheet_selection_output_area(normal_message) + eel.update_selection_output_messages_area("") + eel.set_g_sheet_panel_size("") + + def add_feature_content(self, g_sheet_name: str, feature_tab_name: str): + all_msg: list[str] = [] + message = settings_holder.init_settings() + if message: + all_msg.append(message) + if not settings_holder.loaded(): + eel.update_g_sheet_features_output_area("
".join(all_msg)) + return + try: + self.features, msgs = self.adapter.load_features( + g_sheet_name, feature_tab_name + ) + all_msg += msgs + except gspread.exceptions.APIError as error: + all_msg.append( + f"API error causing delay. Please wait a couple of seconds while gsheet updates. " + f"After waiting you may need to reload sheet. " + f"For the record, the API error is {error}", + ) + except Exception as error: + all_msg.append(f"Failed to load features: {error}") + if not self.features: + all_msg.append("Failed to load features") + eel.update_g_sheet_features_output_area("
".join(all_msg)) + if self.features: + eel.update_g_sheet_selection_range( + self.features.minimum_selection(), self.features.maximum_selection() + ) + + def add_people_content(self, people_tab_name: str): + all_msg: list[str] = [] + assert self.features is not None + try: + self.people, msgs = self.adapter.load_people( + people_tab_name, + settings_holder.settings, + self.features, + ) + all_msg += msgs + except Exception as error: + all_msg.append(f"Failed to load people: {error}") + if not self.people: + all_msg.append("Failed to load people") + eel.update_g_sheet_selection_output_area("
".join(all_msg)) + + """ + success, people_selected, msgs = core.run_stratification(features, people, number_wanted, settings_obj) + echo_all(msgs) + if not success: + raise click.ClickException("Selection not successful, no files written.") + + selected_rows, remaining_rows, _ = core.selected_remaining_tables( + people, people_selected[0], features, settings_obj + ) + adapter.selected_tab_name = selected_tab_name + adapter.remaining_tab_name = remaining_tab_name + adapter.output_selected_remaining(selected_rows, remaining_rows, settings_obj) + """ + + +# to be honest this is no longer a file contents class - it's a GUI interface handler +# all the "content" has been moved into the PeopleAndCats class and its children +class FileContents: + def __init__(self): + self.PeopleAndCats = None + # All of these below are only used in the Google Sheet version + self.g_sheet_name = "" + self.respondents_tab_name = ( + "Respondents" # Instance attribute for Advanced Settings + ) + self.category_tab_name = ( + "Categories" # Instance attribute for Advanced Settings + ) + self.gen_rem_tab = "on" # Instance attribute for Advanced Settings + self.number_selections = 1 # Instance attribute for Advanced Settings (then later stored in PeopleAndCats) + def _add_category_content(self, input_content): min_selection = 0 max_selection = 0 @@ -97,7 +300,9 @@ def add_category_content(self, file_contents): self.PeopleAndCats = PeopleAndCatsCSV() self._add_category_content(file_contents) - def _clear_messages(self, normal_message="Number of categories: You must (re)load sheet..."): + def _clear_messages( + self, normal_message="Number of categories: You must (re)load sheet..." + ): eel.update_categories_output_area(normal_message) eel.update_selection_output_area(normal_message) eel.update_selection_output_messages_area("") @@ -248,27 +453,54 @@ def run_selection(self, test_selection): # global to hold contents uploaded from JS # not really - now just a GUI event handler more or less... csv_files = FileContents() +csv_handler = CSVHandler() +g_sheet_handler = GSheetHandler() + + +####################### +# CSV functions for eel +####################### @eel.expose -def handle_category_contents(file_contents): - csv_files.add_category_content(file_contents) +def handle_csv_file_features_content(file_contents): + csv_handler.add_feature_content(file_contents) # 'selection' means people... @eel.expose -def handle_selection_contents(file_contents): - csv_files.add_selection_content(file_contents) +def handle_csv_file_people_content(file_contents): + csv_handler.add_people_content(file_contents) + + +@eel.expose +def update_csv_panel_size(panel_size): + csv_handler.update_panel_size(panel_size) + + +@eel.expose +def csv_run_selection(): + csv_handler.run_selection(test_selection=False) + + +@eel.expose +def csv_run_test_selection(): + csv_handler.run_selection(test_selection=True) + + +########################### +# G Sheet functions for eel +########################### @eel.expose def update_g_sheet_name(g_sheet_name): - csv_files.update_g_sheet_name(g_sheet_name) + g_sheet_handler.update_g_sheet_name(g_sheet_name) @eel.expose def load_g_sheet(): - csv_files.load_g_sheet() + g_sheet_handler.load_g_sheet() ############################# @@ -276,42 +508,42 @@ def load_g_sheet(): ############################# @eel.expose def update_respondents_tab_name(respondents_tab_name): - csv_files.update_respondents_tab_name(respondents_tab_name) + g_sheet_handler.update_respondents_tab_name(respondents_tab_name) @eel.expose def reload_respondents_tab(): - csv_files.update_respondents_tab_name("") + g_sheet_handler.update_respondents_tab_name("") @eel.expose def update_categories_tab_name(categories_tab_name): - csv_files.update_categories_tab_name(categories_tab_name) + g_sheet_handler.update_categories_tab_name(categories_tab_name) @eel.expose def reload_categories_tab(): - csv_files.update_categories_tab_name("") + g_sheet_handler.update_categories_tab_name("") @eel.expose def update_gen_rem_tab(gen_rem_tab): - csv_files.update_gen_rem_tab(gen_rem_tab) + g_sheet_handler.update_gen_rem_tab(gen_rem_tab) @eel.expose def reload_gen_rem_tab(): - csv_files.update_gen_rem_tab("") + g_sheet_handler.update_gen_rem_tab("") @eel.expose def update_number_selections(number_selections): - csv_files.update_number_selections(number_selections) + g_sheet_handler.update_number_selections(number_selections) @eel.expose def reload_number_selections(): - csv_files.update_number_selections("") + g_sheet_handler.update_number_selections("") ########################### @@ -321,17 +553,17 @@ def reload_number_selections(): @eel.expose def update_number_people(number_people): - csv_files.update_number_people(number_people) + g_sheet_handler.update_number_people(number_people) @eel.expose def run_selection(): - csv_files.run_selection(test_selection=False) + g_sheet_handler.run_selection(test_selection=False) @eel.expose def run_test_selection(): - csv_files.run_selection(test_selection=True) + g_sheet_handler.run_selection(test_selection=True) MIN_WINDOWS_VERSION = 10 @@ -344,7 +576,10 @@ def main(): eel.start("main.html", size=default_size) except OSError: # on Windows 10 try Edge if Chrome not available - if sys.platform in ("win32", "win64") and int(platform.release()) >= MIN_WINDOWS_VERSION: + if ( + sys.platform in ("win32", "win64") + and int(platform.release()) >= MIN_WINDOWS_VERSION + ): eel.start("main.html", mode="edge", size=default_size) else: raise diff --git a/stratification.py b/stratification.py deleted file mode 100644 index 7344ab8..0000000 --- a/stratification.py +++ /dev/null @@ -1,2398 +0,0 @@ -""" -Python (3) script to do a stratified, random selection from respondents to random mail out - -Copyright (C) 2019-2023 Brett Hennig bsh [AT] sortitionfoundation.org & Paul Gölz goelz (AT) seas.harvard.edu - -This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public -License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later -version. - -This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied -warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. - -You should have received a copy of the GNU General Public License along with this program; if not, see -. - -Additional permission under GNU GPL version 3 section 7 - -If you modify this Program, or any covered work, by linking or combining it with Gurobi (or a modified version of that -library), containing parts covered by the terms of GUROBI OPTIMIZATION, LLC END-USER LICENSE AGREEMENT, the licensors of -this Program grant you additional permission to convey the resulting work. -""" - -import codecs -import copy -import csv -import random -import typing -from collections.abc import Iterable -from copy import deepcopy -from importlib.util import find_spec -from io import StringIO -from math import log -from pathlib import Path -from typing import Any - -import cvxpy as cp - -# For how to use gspread see: -# https://www.analyticsvidhya.com/blog/2020/07/read-and-update-google-spreadsheets-with-python/ -# and: -# https://github.com/burnash/gspread -# https://gspread.readthedocs.io/en/latest/ -# https://gspread.readthedocs.io/en/latest/api.html -import gspread -import mip -import numpy as np -import toml -from oauth2client.service_account import ServiceAccountCredentials - -# 0 means no debug message, higher number (could) mean more messages -debug = 0 -# numerical deviation accepted as equality when dealing with solvers -EPS = 0.0005 # TODO: Find good value -EPS_NASH = 0.1 -EPS2 = 0.00000001 - -DEFAULT_SETTINGS = """ -# ##################################################################### -# -# IF YOU EDIT THIS FILE YOU NEED TO RESTART THE APPLICATION -# -# ##################################################################### - -# this is written in TOML - https://github.com/toml-lang/toml - -# this is the name of the (unique) field for each person -id_column = "nationbuilder_id" - -# if check_same_address is true, then no 2 people from the same address will be selected -# the comparison checks if the TWO fields listed here are the same for any person -check_same_address = true -check_same_address_columns = [ - "primary_address1", - "zip_royal_mail" -] - -max_attempts = 100 -columns_to_keep = [ - "first_name", - "last_name", - "mobile_number", - "email", - "primary_address1", - "primary_address2", - "primary_city", - "zip_royal_mail", - "tag_list", - "age", - "gender" -] - -# selection_algorithm can either be "legacy", "maximin", "leximin", or "nash" -selection_algorithm = "leximin" - -# random number seed - if this is NOT zero then it is used to set the random number generator seed -random_number_seed = 0 -""" - - -class Settings: - def __init__( - self, - id_column, - columns_to_keep, - check_same_address, - check_same_address_columns, - max_attempts, - selection_algorithm, - random_number_seed, - json_file_path, - ): - try: - assert isinstance(id_column, str) - assert isinstance(columns_to_keep, list) - # if they have no personal data then columns_to_keep could be empty - for column in columns_to_keep: - assert isinstance(column, str) - assert isinstance(check_same_address, bool) - assert isinstance(check_same_address_columns, list) - # this could be empty - assert len(check_same_address_columns) in (0, 2) - for column in check_same_address_columns: - assert isinstance(column, str) - assert isinstance(max_attempts, int) - assert isinstance(random_number_seed, int) - assert selection_algorithm in ["legacy", "maximin", "nash"] - except AssertionError as error: - print(error) - - self.id_column = id_column - self.columns_to_keep = columns_to_keep - self.check_same_address = check_same_address - self.check_same_address_columns = check_same_address_columns - self.max_attempts = max_attempts - self.selection_algorithm = selection_algorithm - self.random_number_seed = random_number_seed - self.json_file_path = json_file_path - - @classmethod - def load_from_file(cls): - all_msg: list[str] = [] - settings_file_path = Path.home() / "sf_stratification_settings.toml" - if not settings_file_path.is_file(): - settings_file_path.write_text(DEFAULT_SETTINGS, encoding="utf-8") - all_msg.append( - f"Wrote default settings to '{settings_file_path.absolute()}' - " - f"if editing is required, restart this app.", - ) - with settings_file_path.open(encoding="utf-8") as settings_file: - settings = toml.load(settings_file) - # you can't check an address if there is no info about which columns to check... - if not settings["check_same_address"]: - all_msg.append( - "WARNING: Settings file is such that we do NOT check if respondents have same address.", - ) - settings["check_same_address_columns"] = [] - if len(settings["check_same_address_columns"]) == 0 and settings["check_same_address"]: - all_msg.append( - "\nERROR: in sf_stratification_settings.toml file check_same_address is TRUE " - "but there are no columns listed to check! FIX THIS and RESTART this program!", - ) - settings["json_file_path"] = Path.home() / "secret_do_not_commit.json" - return cls( - settings["id_column"], - settings["columns_to_keep"], - settings["check_same_address"], - settings["check_same_address_columns"], - settings["max_attempts"], - settings["selection_algorithm"], - settings["random_number_seed"], - settings["json_file_path"], - ), "".join(all_msg) - - -# class for throwing error/fail exceptions -class SelectionError(Exception): - def __init__(self, message): - self.msg = message - - -class PeopleAndCats: - """ - The PeopleAndCats classes below hold all the people and category info sourced from - (and written to) the relevant place - - `categories` is a dict of dicts of dicts... like: - - categories = {"gender" : gender, "age" : age, "geo" : geo, "socio" : socio} - - with each category a dict of possible values with set data, like: - - gender = { - "Gender: Male": {"min" : 20, "max" : 24, "selected" : 0, "remaining" : 0}, - "Gender: Female": {"min" : 21, "max" : 25, "selected" : 0, "remaining" : 0} - # etc - } - - Note that there are now optional extra fields in the above: min_flex and max_flex... - """ - - # Warning: all / most of these values are hardcoded also somewhere below :-) - category_file_field_names = ["category", "name", "min", "max", "min_flex", "max_flex"] - - def __init__(self): - # mins and maxs (from category data) for number of people one can select - # min_flex and max_flex are how much we are happy for this to "stretch"... - self.min_max_people = {} - self.original_categories = None - self.categories_after_people = None - self.category_content_loaded = False - self.people_content_loaded = False - # this is the main data structure where all the info about the people are kept, - # including columns to keep, same address column data and category data - # i.e. everything we need to track for these people! - self.people = None - self.columns_data = None - # after selection, this is just "number_selections" lists of people IDs - self.people_selected: list[frozenset[str]] = [] - self.number_people_to_select = 0 - self.number_selections = 1 # default to 1 - why not? - # these, and the two functions below, are the only annoying things needed to distinguish CSV in GUI.. - self.enable_file_download = False - self.gen_rem_tab = "" - - def get_selected_file(self): - return None - - def get_remaining_file(self): - return None - - # read in stratified selection categories and values - a dict of dicts of dicts... - def _read_in_cats(self, cat_head, cat_body) -> tuple[list[str], int, int]: - self.original_categories = {} - all_msg: list[str] = [] - min_val = 0 - max_val = 0 - # to keep track of number in cats - number people selected MUST be between these limits in every cat... - self.min_max_people = {} - # check that the fieldnames are (at least) what we expect, and only once, - # BUT (for reverse compatibility) let min_flex and max_flex be optional - cat_flex = False - try: - if cat_head.count("min_flex") == 1 and cat_head.count("max_flex") == 1: - cat_flex = True - for fn in PeopleAndCats.category_file_field_names: - cat_head_fn_count = cat_head.count(fn) - if cat_head_fn_count == 0 and (fn not in ("min_flex", "max_flex")): - msg = f"Did not find required column name '{fn}' in the input " - raise SelectionError(msg) - if cat_head_fn_count > 1: - msg = f"Found MORE THAN 1 column named '{fn}' in the input (found {cat_head_fn_count}) " - raise SelectionError(msg) - for row in cat_body: - # allow for some dirty data - at least strip white space from cat and name - # but only if they are strings! - # (sometimes people use ints as cat names or values and then strip produces an exception) - cat = row["category"] - # and skip over any blank lines... - if cat == "": - continue - if isinstance(cat, str): - cat = cat.strip() - # check for blank entries and report a meaningful error - cat_value = row["name"] - if cat_value == "" or row["min"] == "" or row["max"] == "": - msg = f"ERROR reading in category file: found a blank cell in a row of the category: {cat}. " - raise SelectionError(msg) - if isinstance(cat_value, str): - cat_value = cat_value.strip() - # must convert min/max to ints - cat_min = int(row["min"]) - cat_max = int(row["max"]) - if cat_flex: - if row["min_flex"] == "" or row["max_flex"] == "": - msg = ( - f"ERROR reading in category file: found a blank min_flex or " - f"max_flex cell in a category value: {cat_value}. " - ) - raise SelectionError(msg) - cat_min_flex = int(row["min_flex"]) - cat_max_flex = int(row["max_flex"]) - # if these values exist they must be at least this... - if cat_min_flex > cat_min or cat_max_flex < cat_max: - msg = ( - f"Inconsistent numbers in min_flex and max_flex in the categories input for {cat_value}: " - f"the flex values must be equal or outside the max and min values. " - ) - raise SelectionError(msg) - else: - cat_min_flex = 0 - # since we don't know self.number_people_to_select yet! We correct this below - cat_max_flex = -1 - if cat in self.original_categories: - self.min_max_people[cat]["min"] += cat_min - self.min_max_people[cat]["max"] += cat_max - self.original_categories[cat].update( - { - str(cat_value): { ###forcing this to be a string - "min": cat_min, - "max": cat_max, - "selected": 0, - "remaining": 0, - "min_flex": cat_min_flex, - "max_flex": cat_max_flex, - }, - }, - ) - else: - self.min_max_people.update( - { - cat: { - "min": cat_min, - "max": cat_max, - }, - }, - ) - self.original_categories.update( - { - cat: { - str(cat_value): { ###forcing this to be a string - "min": cat_min, - "max": cat_max, - "selected": 0, - "remaining": 0, - "min_flex": cat_min_flex, - "max_flex": cat_max_flex, - }, - }, - }, - ) - - all_msg.append(f"Number of categories: {len(self.original_categories.keys())}") - - # work out what the min and max number of people should be, - # given these cats - max_values = [v["max"] for v in self.min_max_people.values()] - max_val = min(max_values) - # to avoid errors, if max_flex is not set we must set it at least as high as the highest - max_flex_val = max(max_values) - min_values = [v["min"] for v in self.min_max_people.values()] - min_val = max(min_values) - # if the min is bigger than the max we're in trouble i.e. there's an input error - if min_val > max_val: - msg = ( - "Inconsistent numbers in min and max in the categories input: " - "the sum of the minimum values of a category is larger than " - "the sum of the maximum values of a(nother) category." - ) - raise SelectionError(msg) - - # check cat_flex to see if we need to set the max here - # this is only used if these (optional) flex values are NOT given - for cat_values in self.original_categories.values(): - for cat_value in cat_values.values(): - if cat_value["max_flex"] == -1: - # this must be bigger than the largest max - and could even be more than number of people - cat_value["max_flex"] = max_flex_val - - except Exception as error: # noqa: BLE001 - all_msg.append(f"Error loading categories: {error}") - return all_msg, min_val, max_val - - # simple helper function to tidy the code below - def _check_columns_exist_or_multiple(self, people_head, column_list, error_text): - for column in column_list: - column_count = people_head.count(column) - if column_count == 0: - msg = f"No '{column}' column {error_text} found in people data!" - raise SelectionError(msg) - if column_count > 1: - msg = f"MORE THAN 1 '{column}' column {error_text} found in people data!" - raise SelectionError(msg) - - # read in people and calculate how many people in each category in database - def _init_categories_people(self, people_head, people_body, settings: Settings) -> list[str]: - people = {} - columns_data = {} - # this modifies the categories, so we keep the original categories here - self.categories_after_people = deepcopy(self.original_categories) - categories = self.categories_after_people - # check that id_column and all the categories, columns_to_keep and check_same_address_columns are in - # the people data fields... - all_msgs: list[str] = [] - try: - # check both for existence and duplicate column names - self._check_columns_exist_or_multiple(people_head, [settings.id_column], "(unique id)") - self._check_columns_exist_or_multiple(people_head, categories.keys(), "(a category)") - self._check_columns_exist_or_multiple( - people_head, - settings.columns_to_keep, - "(to keep)", - ) - self._check_columns_exist_or_multiple( - people_head, - settings.check_same_address_columns, - "(to check same address)", - ) - # let's just merge the check_same_address_columns into columns_to_keep in case they aren't in both - for col in settings.check_same_address_columns: - if col not in settings.columns_to_keep: - settings.columns_to_keep.append(col) - for row in people_body: - pkey = row[settings.id_column] - # skip over any blank lines... but warn the user - if pkey == "": - all_msgs.append("WARNING: blank cell found in ID column - skipped that line!") - continue - value = {} - # get the category values: these are the most important and we must check them - for cat_key, cats in categories.items(): - # check for input errors here - if it's not in the list of category values... - # allow for some unclean data - at least strip empty space, but only if a str! - # (some values will can be numbers) - p_value = row[cat_key] - if isinstance(row[cat_key], str): - p_value = p_value.strip() - if p_value not in cats: - msg = ( - f"ERROR reading in people (init_categories_people): " - f"Person (id = {pkey}) has value '{p_value}' not in category '{cat_key}'" - ) - raise SelectionError(msg) - value.update({cat_key: p_value}) - categories[cat_key][p_value]["remaining"] += 1 - # then get the other column values we need - # this is address, name etc that we need to keep for output file - # we don't check anything here - it's just for user convenience - col_value = {} - for col in settings.columns_to_keep: - value.update({col: row[col]}) - col_value.update({col: row[col]}) - # add all the data to our people object - people.update({pkey: value}) - columns_data.update({pkey: col_value}) - # check if any cat[max] is set to zero... if so delete everyone with that cat... - # NOT DONE: could then check if anyone is left... - total_num_people = len(people.keys()) - all_msgs.append(f"Number of people: {total_num_people}.") - total_num_deleted = 0 - for cat_key, cats in categories.items(): - for cat, cat_item in cats.items(): - if cat_item["max"] == 0: # we don't want any of these people - # pass the message in as deleting them might throw an exception - all_msgs.append(f"Category {cat} full - deleting people...") - num_deleted, num_left = delete_all_in_cat(categories, people, cat_key, cat) - # if no expcetion was thrown above add this bit to the end of the previous message - all_msgs[-1] += f" Deleted {num_deleted}, {num_left} left." - total_num_deleted += num_deleted - # if the total number of people deleted is lots then we're probably doing a replacement selection, - # which means the 'remaining' file will be useless - remind the user of this! - if total_num_deleted > total_num_people / 2: - all_msgs.append( - ">>> WARNING <<< That deleted MANY PEOPLE - are you doing a replacement? " - "If so your REMAINING FILE WILL BE USELESS!!!", - ) - self.people = people - self.columns_data = columns_data - except Exception as error: # noqa: BLE001 - self.people_content_loaded = False - all_msgs.append(f"Error loading people: {error}") - return all_msgs - - def people_cats_run_stratification(self, settings: Settings, test_selection: bool): - # if this is being called again (the user hit the button again!) we want to make sure all data is cleared etc - # but the function called here makes deep copies of categories_after_people and people - self.people_selected = [] - success, self.people_selected, output_lines = run_stratification( - self.categories_after_people, - self.people, - self.columns_data, - self.number_people_to_select, - self.min_max_people, - settings, - test_selection, - self.number_selections, - ) - if success: - # this also outputs them... - output_lines += self._get_selected_people_lists(settings) - return success, output_lines - - # this also outputs them by calling the appropriate derived class method... - # currently this DOES NOT WORK if self.number_selections > 1 ... - def _get_selected_people_lists(self, settings: Settings): - people_working = copy.deepcopy(self.people) - people_selected = self.people_selected - output_lines = [] - - # if we are doing a multiple selection (only possible from G-sheet at the moment) just spit out selected as is - # and no remaining tab - assert len(people_selected) == self.number_selections - if self.number_selections > 1: - # people_selected should be list of frozensets... - people_selected_header_row = [] - for index in range(self.number_selections): - people_selected_header_row += [f"Assembly {index}"] - # initialise an empty 2d list - yes, not pythonic... - people_selected_rows = [[""] * self.number_selections for _ in range(self.number_people_to_select)] - people_remaining_rows = [[]] - # put all the assemblies in columns of the output - for set_count, fset in enumerate(people_selected): - for p_count, pkey in enumerate(fset): - people_selected_rows[p_count][set_count] = pkey - # prepend the header row afterwards - people_selected_rows.insert(0, people_selected_header_row) - self._output_selected_remaining(settings, people_selected_rows, people_remaining_rows) - else: # self.number_selections == 1 - categories = self.categories_after_people - - # columns_to_keep ALSO contains check_same_address_columns - people_selected_rows = [ - [settings.id_column, *settings.columns_to_keep, *list(categories.keys())], - ] - people_remaining_rows = [ - [settings.id_column, *settings.columns_to_keep, *list(categories.keys())], - ] - - num_same_address_deleted = 0 - for pkey in people_selected[0]: - row = [pkey] - # this is also just all in here, but in an unordered mess... - row += [people_working[pkey][col] for col in settings.columns_to_keep] - row += [people_working[pkey][cat_key] for cat_key in categories] - people_selected_rows.append(row) - # if check address then delete all those at this address (will NOT delete the one we want as well) - if settings.check_same_address: - people_to_delete, new_output_lines = get_people_at_same_address( - people_working, - pkey, - settings.check_same_address_columns, - ) - output_lines += new_output_lines - num_same_address_deleted += len(new_output_lines) # don't include original - # then delete this/these people at the same address from the reserve/remaining pool - del people_working[pkey] - num_same_address_deleted += 1 - for del_person_key in people_to_delete: - del people_working[del_person_key] - else: - del people_working[pkey] - - # add the columns to keep into remaining people - # as above all these values are all in people_working but this is tidier... - for pkey in people_working: - row = [pkey] - for col in settings.columns_to_keep: - row.append(people_working[pkey][col]) - for cat_key in categories: - row.append(people_working[pkey][cat_key]) - people_remaining_rows += [row] - dupes = self._output_selected_remaining( - settings, - people_selected_rows, - people_remaining_rows, - ) - if settings.check_same_address and self.gen_rem_tab == "on": - output_lines.append( - f"Deleted {num_same_address_deleted} people from remaining file who had the same " - f"address as selected people.", - ) - m = min(30, len(dupes)) - output_lines.append( - f"In the remaining tab there are {len(dupes)} people who share the same address as " - f"someone else in the tab. We highlighted the first {m} of these. " - f"The full list of lines is {dupes}", - ) - return output_lines - - -class PeopleAndCatsCSV(PeopleAndCats): - def __init__(self): - super().__init__() - self.selected_file = StringIO() - self.remaining_file = StringIO() - - def get_selected_file(self): - return self.selected_file - - def get_remaining_file(self): - return self.remaining_file - - def load_cats(self, file_contents, dummy_category_tab, settings: Settings): - self.category_content_loaded = True - category_file = StringIO(file_contents) - category_reader = csv.DictReader(category_file) - return self._read_in_cats(list(category_reader.fieldnames), category_reader) - - def load_people( - self, - settings: Settings, - file_contents="", - dummy_respondents_tab="", - dummy_category_tab="", - dummy_gen_rem="", - ): - if file_contents != "": - self.people_content_loaded = True - people_file = StringIO(file_contents) - people_data = csv.DictReader(people_file) - return self._init_categories_people(list(people_data.fieldnames), people_data, settings) - - # Actually useful to also write to a file all those who are NOT selected for later selection if people pull out etc - # BUT, we should not include in this people from the same address as someone who has been selected! - def _output_selected_remaining( - self, - settings: Settings, - people_selected_rows, - people_remaining_rows, - ): - # we have succeeded in CSV so can activate buttons in GUI... - self.enable_file_download = True - - people_selected_writer = csv.writer( - self.selected_file, - delimiter=",", - quotechar='"', - quoting=csv.QUOTE_MINIMAL, - ) - for row in people_selected_rows: - people_selected_writer.writerow(row) - - people_remaining_writer = csv.writer( - self.remaining_file, - delimiter=",", - quotechar='"', - quoting=csv.QUOTE_MINIMAL, - ) - for row in people_remaining_rows: - people_remaining_writer.writerow(row) - - -class PeopleAndCatsGoogleSheet(PeopleAndCats): - scope = None - creds = None - client = None - original_selected_tab_name = "Original Selected - output - " - selected_tab_name = "Selected" - columns_selected_first = "C" - column_selected_blank_num = 6 - remaining_tab_name = "Remaining - output - " - new_tab_default_size_rows = "2" - new_tab_default_size_cols = "40" - - def __init__(self): - super().__init__() - self.g_sheet_name = "" - self.respondents_tab_name = "" - self.category_tab_name = "" - self.spreadsheet = None - - def _tab_exists(self, tab_name): - if self.spreadsheet is None: - return False - tab_list = self.spreadsheet.worksheets() - return any(tab.title == tab_name for tab in tab_list) - - def _clear_or_create_tab(self, tab_name, other_tab_name, inc): - # this now does not clear data but increments the sheet number... - num = 0 - tab_ready = None - tab_name_new = tab_name + str(num) - other_tab_name_new = other_tab_name + str(num) - while tab_ready is None: - if self._tab_exists(tab_name_new) or self._tab_exists(other_tab_name_new): - num += 1 - tab_name_new = tab_name + str(num) - other_tab_name_new = other_tab_name + str(num) - else: - if inc == -1: - tab_name_new = tab_name + str(num - 1) - tab_ready = self.spreadsheet.add_worksheet( - title=tab_name_new, - rows=self.new_tab_default_size_rows, - cols=self.new_tab_default_size_cols, - ) - return tab_ready - - def load_cats(self, g_sheet_name, category_tab_name, settings: Settings): - self.category_content_loaded = True - self.g_sheet_name = g_sheet_name - self.category_tab_name = category_tab_name - - json_file_name = settings.json_file_path - min_val = 0 - max_val = 0 - msg = [] - try: - if self.scope is None: - self.scope = [ - "https://spreadsheets.google.com/feeds", - "https://www.googleapis.com/auth/drive", - ] - self.creds = ServiceAccountCredentials.from_json_keyfile_name( - json_file_name, - self.scope, - ) - self.client = gspread.authorize(self.creds) - self.spreadsheet = self.client.open(self.g_sheet_name) - msg += [f"Opened Google Sheet: '{self.g_sheet_name}'. "] - if self._tab_exists(self.category_tab_name): - tab_cats = self.spreadsheet.worksheet(self.category_tab_name) - cat_head_input = tab_cats.row_values(1) - cat_input = tab_cats.get_all_records(expected_headers=[]) - new_msg, min_val, max_val = self._read_in_cats(cat_head_input, cat_input) - msg += [f"Read in '{self.category_tab_name}' tab in above Google sheet."] - msg += new_msg - else: - msg += [f"Error in Google sheet: no tab called '{self.category_tab_name}' found. "] - self.category_content_loaded = False - except gspread.SpreadsheetNotFound: - msg += [f"Google spreadsheet not found: {self.g_sheet_name}. "] - self.category_content_loaded = False - return msg, min_val, max_val - - def load_people( - self, - settings: Settings, - dummy_file_contents, - respondents_tab_name, - category_tab_name, - gen_rem_tab, - ): - self.people_content_loaded = True - self.respondents_tab_name = respondents_tab_name # Added for respondents tab text box. - self.category_tab_name = category_tab_name # Added for category tab text box. - self.gen_rem_tab = gen_rem_tab # Added for checkbox. - msg = [] - try: - if self._tab_exists(self.respondents_tab_name): - tab_people = self.spreadsheet.worksheet(self.respondents_tab_name) - # if we don't read this in here we can't check if there are 2 columns with the same name - people_head_input = tab_people.row_values(1) - # the numericise_ignore doesn't convert the phone numbers to ints... - # 1 Oct 2024: the final argument with expected_headers is to deal with the fact that - # updated versions of gspread can't cope with duplicate headers - people_input = tab_people.get_all_records( - numericise_ignore=["all"], - expected_headers=[], - ) - msg = [f"Reading in '{self.respondents_tab_name}' tab in above Google sheet."] - msg += self._init_categories_people(people_head_input, people_input, settings) - else: - msg = [ - f"Error in Google sheet: no tab called '{self.respondents_tab_name}' found. ", - ] - self.people_content_loaded = False - except gspread.SpreadsheetNotFound: - msg += [f"Google spreadsheet not found: {self.g_sheet_name}. "] - self.people_content_loaded = False - return msg - - def _output_selected_remaining( - self, - settings: Settings, - people_selected_rows, - people_remaining_rows, - ): - # if self.number_selections > 1 then self.gen_rem_tab=='off' - assert self.number_selections == 1 or (self.number_selections > 1 and self.gen_rem_tab == "off") - tab_original_selected = self._clear_or_create_tab( - self.original_selected_tab_name, - self.remaining_tab_name, - 0, - ) - tab_original_selected.update(people_selected_rows) - tab_original_selected.format( - "A1:U1", - {"backgroundColor": {"red": 153 / 255, "green": 204 / 255, "blue": 255 / 255}}, - ) - dupes2 = [] - if self.gen_rem_tab == "on": - tab_remaining = self._clear_or_create_tab( - self.remaining_tab_name, - self.original_selected_tab_name, - -1, - ) - tab_remaining.update(people_remaining_rows) - tab_remaining.format( - "A1:U1", - {"backgroundColor": {"red": 153 / 255, "green": 204 / 255, "blue": 255 / 255}}, - ) - # highlight any people in remaining tab at the same address - if settings.check_same_address: - csa1 = settings.check_same_address_columns[0] - col1 = tab_remaining.find(csa1).col - csa2 = settings.check_same_address_columns[1] - col2 = tab_remaining.find(csa2).col - dupes_set = set() - n = len(people_remaining_rows) - for i in range(n): - rowrem1 = people_remaining_rows[i] - for j in range(i + 1, n): - rowrem2 = people_remaining_rows[j] - if ( - rowrem1 != rowrem2 - and rowrem1[col1 - 1] == rowrem2[col1 - 1] - and rowrem1[col2 - 1] == rowrem2[col2 - 1] - ): - dupes_set.add(i + 1) - dupes_set.add(j + 1) - dupes = sorted(dupes_set) - m = min(30, len(dupes)) - for i in range(m): - tab_remaining.format( - str(dupes[i]), - {"backgroundColor": {"red": 5, "green": 2.5, "blue": 0}}, - ) - return dupes2 - - -################################### -# -# End PeopleAndCats classes... -# -# ... of course in theory almost all of the below functions could be integrated into -# the above (base) class but may be useful to keep separated? Or at least I can't be bothered -# integrating them in now ... -# -################################### - - -# create READABLE example file of people -def create_readable_sample_file( - categories, - people_file: typing.TextIO, - number_people_example_file, - settings: Settings, -): - example_people_writer = csv.writer( - people_file, - delimiter=",", - quotechar='"', - quoting=csv.QUOTE_MINIMAL, - ) - cat_keys = categories.keys() - example_people_writer.writerow([settings.id_column, *settings.columns_to_keep, *list(cat_keys)]) - for x in range(number_people_example_file): - row = [f"p{x}"] - row += [col + str(x) for col in settings.columns_to_keep] - for cats in categories.values(): # e.g. gender - cat_items_list_weighted: list[str] = [] - for cats_key, cats_item in cats.items(): # e.g. male - cat_items_list_weighted += [cats_key for _ in range(cats_item["max"])] - random_cat_value = random.choice(cat_items_list_weighted) - row.append(random_cat_value) - example_people_writer.writerow(row) - - -# when a category is full we want to delete everyone in it -def delete_all_in_cat(categories, people, cat_check_key, cat_check_value): - people_to_delete = [] - for pkey, person in people.items(): - if person[cat_check_key] == cat_check_value: - people_to_delete.append(pkey) - # for pcat, pval in person.items(): - for cat_key in categories: - cat_item = categories[cat_key][person[cat_key]] - cat_item["remaining"] -= 1 - if cat_item["remaining"] == 0 and cat_item["selected"] < cat_item["min"]: - lpd = len(people_to_delete) - msg = ( - f"SELECTION IMPOSSIBLE: FAIL in delete_all_in_cat as after previous deletion " - f"no one/not enough left in {cat_key} {person[cat_key]}. " - f"Tried to delete: {lpd}", - ) - raise SelectionError(msg) - for p in people_to_delete: - del people[p] - # return the number of people deleted and the number of people left - return len(people_to_delete), len(people) - - -# selected = True means we are deleting because they have been chosen, -# otherwise they are being deleted because they live at same address as someone selected -def really_delete_person(categories, people, pkey: str, *, selected: bool) -> None: - for pcat, pval in people[pkey].items(): - if pcat not in categories: - # some categories are just first_name etc - so will - # not be in the target categories - continue - cat_item = categories[pcat][pval] - if selected: - cat_item["selected"] += 1 - cat_item["remaining"] -= 1 - if cat_item["remaining"] == 0 and cat_item["selected"] < cat_item["min"]: - raise SelectionError("FAIL in delete_person: no one left in " + pval) - del people[pkey] - - -def get_people_at_same_address(people, pkey, check_same_address_columns): - primary_address1 = people[pkey][check_same_address_columns[0]] - primary_zip = people[pkey][check_same_address_columns[1]] - # there may be multiple people to delete, and deleting them as we go gives an error - people_to_delete = [] - output_lines = [] - for compare_key in people: - # don't get yourself!? - if ( - pkey != compare_key - and primary_address1 == people[compare_key][check_same_address_columns[0]] - and primary_zip == people[compare_key][check_same_address_columns[1]] - ): - # found same address - if people_to_delete != []: - output_lines += [ - "Found someone with the same address as a selected person," - f" so deleting him/her. Address: {primary_address1} , {primary_zip}", - ] - people_to_delete.append(compare_key) - return people_to_delete, output_lines - - -# lucky person has been selected - delete person from DB -def delete_person(categories, people, pkey, check_same_address, check_same_address_columns): - output_lines = [] - # recalculate all category values that this person was in - person = people[pkey] - # check if there are other people at the same address - if so, remove them! - if check_same_address: - people_to_delete, output_lines = get_people_at_same_address( - people, - pkey, - check_same_address_columns, - ) - # then delete this/these people at the same address - for del_person_key in people_to_delete: - really_delete_person(categories, people, del_person_key, selected=False) - # delete the actual person after checking for people at the same address - really_delete_person(categories, people, pkey, selected=True) - # then check if any cats of selected person is (was) in are full - for pcat, pval in person.items(): - if pcat in categories: - cat_item = categories[pcat][pval] - if cat_item["selected"] == cat_item["max"]: - output_lines += [f"Category {pval} full - deleting people..."] - num_deleted, num_left = delete_all_in_cat(categories, people, pcat, pval) - output_lines[-1] += f" Deleted {num_deleted}, {num_left} left." - return output_lines - - -# returns dict of category key, category item name, random person number -def find_max_ratio_cat(categories): - ratio = -100.0 - key_max = "" - index_max_name = "" - random_person_num = -1 - for cat_key, cats in categories.items(): - for cat, cat_item in cats.items(): - # if there are zero remaining, or if there are less than how many we need we're in trouble - if cat_item["selected"] < cat_item["min"] and cat_item["remaining"] < ( - cat_item["min"] - cat_item["selected"] - ): - msg = f"FAIL in find_max_ratio_cat: No people (or not enough) in category {cat}" - raise SelectionError(msg) - # if there are none remaining, it must be because we have reached max and deleted them - # or, if max = 0, then we don't want any of these (could happen when seeking replacements) - if cat_item["remaining"] != 0 and cat_item["max"] != 0: - item_ratio = (cat_item["min"] - cat_item["selected"]) / float(cat_item["remaining"]) - # print item['name'],': ', item['remaining'], 'ratio : ', item_ratio - if item_ratio > 1: # trouble! - msg = "FAIL in find_max_ratio_cat: a ratio > 1..." - raise SelectionError(msg) - if item_ratio > ratio: - ratio = item_ratio - key_max = cat_key - index_max_name = cat - random_person_num = random.randint(1, cat_item["remaining"]) - if debug > 0: - print(f"Max ratio: {ratio} for {key_max} {index_max_name}") - # could also append random_person_num - return { - "ratio_cat": key_max, - "ratio_cat_val": index_max_name, - "ratio_random": random_person_num, - } - - -# First return is True if selection has been successful, second return are messages -# Print category info - if people_selected is empty it is assumed the output should be how many people initially -def print_category_info(categories, people, people_selected, number_people_wanted): - if len(people_selected) > 1: - return [ - "

We do not calculate target details for multiple selections - please see your output files.

", - ] - initial_print = len(people_selected) == 0 - # count and print - report_msg = "" - if initial_print: - report_msg += "" - else: - report_msg += "" - # create a local version of this to count stuff in, as this might be called from places that don't track this info - # and reset the info just in case it has been used - categories_working = copy.deepcopy(categories) - for cats in categories_working.values(): - for cat_item in cats.values(): - cat_item["selected"] = 0 - # count those either initially or selected, but use the same data item... - if initial_print: - for person in people.values(): - for feature in categories: - value = person[feature] - categories_working[feature][value]["selected"] += 1 - else: - assert len(people_selected) == 1 - for person in people_selected[0]: - for feature in categories: - value = people[person][feature] - categories_working[feature][value]["selected"] += 1 - - # print out how many in each - for cat_key, cats in categories_working.items(): - for cat, cat_item in cats.items(): - if initial_print: # don't bother about percents... - report_msg += "".format( - cat_key, - cat, - cat_item["selected"], - cat_item["min"], - cat_item["max"], - ) - else: - percent_selected = round( - cat_item["selected"] * 100 / float(number_people_wanted), - 2, - ) - report_msg += "".format( - cat_key, - cat, - cat_item["selected"], - percent_selected, - cat_item["min"], - cat_item["max"], - ) - report_msg += "
CategoryInitiallyWant
CategorySelectedWant
{}{}{}[{},{}]
{}{}{} ({}%)[{},{}]
" - return [report_msg] - - -def check_category_selected(categories, people, people_selected, number_selections): - hit_targets = True - last_cat_fail = "" - if number_selections > 1: - return hit_targets, [ - "

No target checks done for multiple selections - please see your output files.

", - ] - # count and print - # create a local version of this to count stuff in, as this might be called from places that don't track this info - # and reset the info just in case it has been used - categories_working = copy.deepcopy(categories) - for cats in categories_working.values(): - for cat_item in cats.values(): - cat_item["selected"] = 0 - # count those selected - but not at the start when people_selected is empty (the initial values should be zero) - if len(people_selected) == 1: - for person in people_selected[0]: - for feature in categories: - value = people[person][feature] - categories_working[feature][value]["selected"] += 1 - # check if quotas have been met or not - for cats in categories_working.values(): - for cat, cat_item in cats.items(): - if cat_item["selected"] < cat_item["min"] or cat_item["selected"] > cat_item["max"]: - hit_targets = False - last_cat_fail = cat - report_msg = f"

Failed to get minimum or got more than maximum in (at least) category: {last_cat_fail}

" - report_msg = ( - "" - if hit_targets is True - else f"

Failed to get minimum or got more than maximum in (at least) category: {last_cat_fail}

" - ) - return hit_targets, [report_msg] - - -def _distribution_stats( - people: dict[str, dict[str, str]], - committees: list[frozenset[str]], - probabilities: list[float], -) -> list[str]: - output_lines = [] - - assert len(committees) == len(probabilities) - num_non_zero = sum([1 for prob in probabilities if prob > 0]) - output_lines.append( - f"Algorithm produced distribution over {len(committees)} committees, out of which " - f"{num_non_zero} are chosen with positive probability.", - ) - - individual_probabilities = {pid: 0 for pid in people} - containing_committees = {pid: [] for pid in people} - for committee, prob in zip(committees, probabilities, strict=False): - if prob > 0: - for cid in committee: - individual_probabilities[cid] += prob - containing_committees[cid].append(committee) - - table = [ - "", - ] - - for _, cid in sorted((prob, cid) for cid, prob in individual_probabilities.items()): - table.append( - f"", - ) - table.append("
Agent IDProbability of selectionIncluded in #" - "of committees
{cid}{individual_probabilities[cid]:.4%}{len(containing_committees[cid])}" - "
") - output_lines.append("".join(table)) - - return output_lines - - -def _output_panel_table(panels: list[frozenset[str]], probs: list[float]): - def panel_to_tuple(panel: frozenset[str]) -> tuple[str]: - return tuple(sorted(panel)) - - k = len(panels[0]) - dist = {} - for panel, prob in zip(panels, probs, strict=False): - assert len(panel) == k - tup = panel_to_tuple(panel) - if tup not in dist: - dist[tup] = 0.0 - dist[tup] += prob - - with codecs.open("table.csv", "w", "utf8") as file: - file.write( - ",".join( - ["Panel number", "Suggested probability"] + [f"agent {i}" for i in range(1, k + 1)], - ), - ) - file.write("\n") - number = 0 - for tup, prob in dist.items(): - if prob > 0: - file.write(f"{number},{prob},") - number += 1 - file.write(",".join(f'"{item}"' for item in tup)) - file.write("\n") - - -def pipage_rounding(marginals: list[tuple[Any, float]]) -> list[Any]: - assert all(0.0 <= p <= 1.0 for _, p in marginals) - - outcomes = [] - while True: - if len(marginals) == 0: - return outcomes - if len(marginals) == 1: - obj, prob = marginals[0] - if random.random() < prob: - outcomes.append(obj) - marginals = [] - else: - obj0, prob0 = marginals[0] - if prob0 > 1.0 - EPS2: - outcomes.append(obj0) - marginals = marginals[1:] - continue - if prob0 < EPS2: - marginals = marginals[1:] - continue - - obj1, prob1 = marginals[1] - if prob1 > 1.0 - EPS2: - outcomes.append(obj1) - marginals = [marginals[0]] + marginals[2:] - continue - if prob1 < EPS2: - marginals = [marginals[0]] + marginals[2:] - continue - - inc0_dec1_amount = min( - 1.0 - prob0, - prob1, - ) # maximal amount that prob0 can be increased and prob1 can be - # decreased before they drop below 0 or above 1 - dec0_inc1_amount = min(prob0, 1.0 - prob1) - choice_probability = dec0_inc1_amount / (inc0_dec1_amount + dec0_inc1_amount) - - if random.random() < choice_probability: # increase prob0 and decrease prob1 - prob0 += inc0_dec1_amount - prob1 -= inc0_dec1_amount - else: - prob0 -= dec0_inc1_amount - prob1 += dec0_inc1_amount - marginals = [(obj0, prob0), (obj1, prob1)] + marginals[2:] - - -def standardize_distribution( - committees: list[frozenset[str]], - probabilities: list[float], -) -> tuple[list[frozenset[str]], list[float]]: - assert len(committees) == len(probabilities) - new_committees = [] - new_probabilities = [] - for committee, prob in zip(committees, probabilities, strict=False): - if prob >= EPS2: - new_committees.append(committee) - new_probabilities.append(prob) - prob_sum = sum(new_probabilities) - new_probabilities = [prob / prob_sum for prob in new_probabilities] - return new_committees, new_probabilities - - -ASSERT_TOLERANCE = 0.0001 - - -def lottery_rounding( - committees: list[frozenset[str]], - probabilities: list[float], - number_selections: int, -) -> list[frozenset[str]]: - assert len(committees) == len(probabilities) - assert number_selections >= 1 - - num_copies = [] - residuals = [] - for _, prob in zip(committees, probabilities, strict=False): - scaled_prob = prob * number_selections - num_copies.append(int(scaled_prob)) # give lower quotas - residuals.append(scaled_prob - int(scaled_prob)) - assert abs(sum(residuals) - round(sum(residuals))) <= ASSERT_TOLERANCE - - rounded_up_indices = pipage_rounding(list(enumerate(residuals))) - assert round(sum(residuals)) == len(rounded_up_indices) - for committee_index in rounded_up_indices: - num_copies[committee_index] += 1 - - committee_lottery = [] - for committee, committee_copies in zip(committees, num_copies, strict=False): - committee_lottery += [committee for _ in range(committee_copies)] - - return committee_lottery - - -def find_random_sample( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], - selection_algorithm: str, - test_selection: bool, - number_selections: int, -) -> tuple[list[frozenset[str]], list[str]]: - """Main algorithm to try to find one or multiple random committees. - - Args: - categories: categories["feature"]["value"] is a dictionary with keys "min", "max", "min_flex", "max_flex", - "selected", "remaining". - people: people["nationbuilder_id"] is dictionary mapping "feature" to "value" for a person. - columns_data: columns_data["nationbuilder_id"] is dictionary mapping "contact_field" to "value" for a person. - number_people_wanted: - check_same_address: - check_same_address_columns: list of contact fields of columns that have to be equal for being - counted as residing at the same address - selection_algorithm: one out of "legacy", "maximin", "leximin", or "nash" - test_selection: if set, do not do a random selection, but just return some valid panel. Useful for quickly - testing whether quotas are satisfiable, but should always be false for the actual selection! - number_selections: how many panels to return. Most of the time, this should be set to `1`, which means that - a single panel is chosen. When specifying a value n ≥ 2, the function will return a list of length n, - containing multiple panels (some panels might be repeated in the list). In this case the eventual panel - should be drawn uniformly at random from the returned list. - Returns: - (committee_lottery, output_lines) - `committee_lottery` is a list of committees, where each committee is a frozen set of pool member ids guaranteed - to satisfy the constraints on a feasible committee. - `output_lines` is a list of debug strings. - Raises: - InfeasibleQuotasError if the quotas cannot be satisfied, which includes a suggestion for how to modify them. - SelectionError in multiple other failure cases. - Side Effects: - Existing callers assume the "selected" and "remaining" fields in `categories` to be changed. - """ - if not all( - "min_flex" in categories[feature][value] and "max_flex" in categories[feature][value] - for feature in categories - for value in categories[feature] - ): - msg = ( - "By the time they're fed into `find_random_sample`, the `categories` argument should always " - "contain the new fields 'min_flex' and 'max_flex'. If they're not in the categories file, the " - "code should set default values before calling this function." - ) - raise ValueError(msg) - for feature, values in categories.items(): - for value, info in values.items(): - if not (info["min_flex"] <= info["min"] <= info["max"] <= info["max_flex"]): - msg = ( - f"For feature ({feature}: {value}), the different quotas have incompatible values. " - f"It must hold that min_flex ({info['min_flex']}) <= min ({info['min']}) <= max " - f"({info['max']}) <= max_flex ({info['max_flex']})." - ) - raise ValueError(msg) - - if check_same_address and len(check_same_address_columns) == 0: - msg = ( - "Since the algorithm is configured to prevent multiple house members to appear on the same " - "panel (check_same_address = true), check_same_address_columns must not be empty." - ) - raise ValueError(msg) - - # just go quick and nasty so we can hook up our charts ands tables :-) - if test_selection: - print("Running test selection.") - if number_selections != 1: - msg = ( - "Running the test selection does not support generating a transparent lottery, so, if " - "`test_selection` is true, `number_selections` must be 1." - ) - raise ValueError(msg) - return _find_any_committee( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - output_lines = [] - if selection_algorithm == "leximin" and not find_spec("gurobipy"): - output_lines.append( - _print( - "The leximin algorithm requires the optimization library Gurobi to be installed " - "(commercial, free academic licenses available). Switching to the simpler " - "maximin algorithm, which can be run using open source solvers.", - ), - ) - selection_algorithm = "maximin" - - if selection_algorithm == "legacy": - if number_selections != 1: - msg = ( - "Currently, the legacy algorithm does not support generating a transparent lottery, " - "so `number_selections` must be set to 1." - ) - raise ValueError(msg) - return find_random_sample_legacy( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - if selection_algorithm == "leximin": - committees, probabilities, new_output_lines = find_distribution_leximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - elif selection_algorithm == "maximin": - committees, probabilities, new_output_lines = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - elif selection_algorithm == "nash": - committees, probabilities, new_output_lines = find_distribution_nash( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - else: - msg = ( - f"Unknown selection algorithm {selection_algorithm!r}, must be either 'legacy', 'leximin'," - f" 'maximin', or 'nash'." - ) - raise ValueError(msg) - - committees, probabilities = standardize_distribution(committees, probabilities) - if len(committees) > len(people): - print( - "INFO: The distribution over panels what is known as a 'basic solution'. There is no reason for concern " - "about the correctness of your output, but we'd appreciate if you could reach out to panelot" - f"@paulgoelz.de with the following information: algorithm={selection_algorithm}, " - f"num_panels={len(committees)}, num_agents={len(people)}, min_probs={min(probabilities)}.", - ) - - assert len(set(committees)) == len(committees) - - output_lines += new_output_lines - output_lines += _distribution_stats(people, committees, probabilities) - - committee_lottery = lottery_rounding(committees, probabilities, number_selections) - - return committee_lottery, output_lines - - -def find_random_sample_legacy( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], -) -> tuple[list[frozenset[str]], list[str]]: - output_lines = ["Using legacy algorithm."] - people_selected = set() - for count in range(number_people_wanted): - ratio = find_max_ratio_cat(categories) - # find randomly selected person with the category value - for pkey, pvalue in people.items(): - if pvalue[ratio["ratio_cat"]] == ratio["ratio_cat_val"]: - # found someone with this category value... - ratio["ratio_random"] -= 1 - if ratio["ratio_random"] == 0: # means they are the random one we want - if debug > 0: - print("Found random person in this cat... adding them") - assert pkey not in people_selected - people_selected.add(pkey) - output_lines += delete_person( - categories, - people, - pkey, - check_same_address, - check_same_address_columns, - ) - break - if count < (number_people_wanted - 1) and len(people) == 0: - msg = "Fail! We've run out of people..." - raise SelectionError(msg) - return [frozenset(people_selected)], output_lines - - -def _ilp_results_to_committee(variables: dict[str, mip.entities.Var]) -> frozenset[str]: - try: - res = frozenset(item for item in variables if variables[item].x > 0.5) # noqa: PLR2004 - # unfortunately, MIP sometimes throws generic Exceptions rather than a subclass. - except Exception as error: - msg = f"It seems like some variables does not have a value. Original exception: {error}." - raise ValueError(msg) from error - - return res - - -def _same_address( - columns_data1: dict[str, str], - columns_data2: dict[str, str], - check_same_address_columns: list[str], -) -> bool: - return all(columns_data1[column] == columns_data2[column] for column in check_same_address_columns) - - -def _print(message: str) -> str: - print(message) - return message - - -def _compute_households( - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - check_same_address_columns: list[str], -) -> dict[str, int]: - ids = list(people.keys()) - households = {pid: None for pid in people} # for each agent, the id of the earliest person with same address - - counter = 0 - for i, id1 in enumerate(ids): - if households[id1] is not None: - continue - households[id1] = counter - for id2 in ids[i + 1 :]: - if households[id2] is None and _same_address( - columns_data[id1], - columns_data[id2], - check_same_address_columns, - ): - households[id2] = counter - counter += 1 - - if counter == 1: - print( - "Warning: All pool members live in the same household. Probably, the configuration is wrong?", - ) - - return households - - -class InfeasibleQuotasError(Exception): - def __init__(self, quotas: dict[tuple[str, str], tuple[int, int]], output: list[str]): - self.quotas = quotas - self.output = ["The quotas are infeasible:", *output] - - def __str__(self): - return "\n".join(self.output) - - -class InfeasibleQuotasCantRelaxError(Exception): - def __init__(self, message: str): - self.message = message - - -def _relax_infeasible_quotas( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - households: dict[str, int] | None = None, - ensure_inclusion: typing.Collection[Iterable[str]] = ((),), -) -> tuple[dict[tuple[str, str], tuple[int, int]], list[str]]: - """Assuming that the quotas are not satisfiable, suggest a minimal relaxation that would be. - - Args: - categories: quotas in the format described in `find_random_sample` - people: pool members in the format described in `find_random_sample` - number_people_wanted: desired size of the panel - check_same_address: whether members from the same household cannot simultaneously appear - households: if `check_same_address` is given, a dictionary mapping pool member ids to integers representing - households. if two agents have the same value in the dictionary, they are considered to live together. - ensure_inclusion: allows to specify that some panels should contain specific sets of agents. for example, - passing `(("a",), ("b", "c"))` means that the quotas should be relaxed such that some valid panel contains - agent "a" and some valid panel contains both agents "b" and "c". the default of `((),)` just requires - a panel to exist, without further restrictions. - """ - model = mip.Model(sense=mip.MINIMIZE) - model.verbose = debug - - assert len(ensure_inclusion) > 0 # otherwise, the existence of a panel is not required - - # for every feature, a variable for how much the upper and lower quotas are relaxed - feature_values = [(feature, value) for feature in categories for value in categories[feature]] - min_vars = {fv: model.add_var(var_type=mip.INTEGER, lb=0.0) for fv in feature_values} - max_vars = {fv: model.add_var(var_type=mip.INTEGER, lb=0.0) for fv in feature_values} - - # relaxations cannot drop lower quotas below min_flex or upper quotas beyond max_flex - for feature, value in feature_values: - model.add_constr( - categories[feature][value]["min"] - min_vars[(feature, value)] >= categories[feature][value]["min_flex"], - ) - model.add_constr( - categories[feature][value]["max"] + max_vars[(feature, value)] <= categories[feature][value]["max_flex"], - ) - - # we might not be able to select multiple persons from the same household - people_by_household = {} - if check_same_address: - assert households is not None - - for hid, household in households.items(): - if household not in people_by_household: - people_by_household[household] = [] - people_by_household[household].append(hid) - - for inclusion_set in ensure_inclusion: - # for every person, we have a binary variable indicating whether they are in the committee - agent_vars = {pid: model.add_var(var_type=mip.BINARY) for pid in people} - for agent in inclusion_set: - model.add_constr(agent_vars[agent] == 1) - - # we have to select exactly `number_people_wanted` many persons - model.add_constr(mip.xsum(agent_vars.values()) == number_people_wanted) - - # we have to respect the relaxed quotas - for feature, value in feature_values: - number_feature_value_agents = mip.xsum( - agent_vars[pid] for pid, person in people.items() if person[feature] == value - ) - model.add_constr( - number_feature_value_agents >= categories[feature][value]["min"] - min_vars[(feature, value)], - ) - model.add_constr( - number_feature_value_agents <= categories[feature][value]["max"] + max_vars[(feature, value)], - ) - - if check_same_address: - for members in people_by_household.values(): - if len(members) > 1: - model.add_constr(mip.xsum(agent_vars[mid] for mid in members) <= 1) - - def reduction_weight(feature, value): - """Make the algorithm more recluctant to reduce lower quotas that are already low. If the lower quotas was 1, - reducing it one more (to 0) is 3 times more salient than increasing a quota by 1. This bonus tampers off - quickly, reducing from 10 is only 1.2 times as salient as an increase.""" - old_quota = categories[feature][value]["min"] - if old_quota == 0: - return 0 # cannot be relaxed anyway - return 1 + 2 / old_quota - - # we want to minimize the amount by which we have to relax quotas - model.objective = mip.xsum( - [reduction_weight(*fv) * min_vars[fv] for fv in feature_values] + [max_vars[fv] for fv in feature_values], - ) - - # Optimize once without any constraints to check if no feasible committees exist at all. - status = model.optimize() - if status == mip.OptimizationStatus.INFEASIBLE: - msg = ( - "No feasible committees found, even with relaxing the quotas. Most " - "likely, quotas would have to be relaxed beyond what the 'min_flex' and " - "'max_flex' columns allow." - ) - raise InfeasibleQuotasCantRelaxError(msg) - if status != mip.OptimizationStatus.OPTIMAL: - msg = ( - f"No feasible committees found, solver returns code {status} (see " - f"https://docs.python-mip.com/en/latest/classes.html#optimizationstatus). Either the pool " - f"is very bad or something is wrong with the solver." - ) - raise SelectionError(msg) - - output_lines = [] - new_quotas = {} - for fv in feature_values: - feature, value = fv - lower = categories[feature][value]["min"] - round(min_vars[fv].x) - assert lower <= categories[feature][value]["min"] - if lower < categories[feature][value]["min"]: - output_lines.append(f"Recommend lowering lower quota of {feature}:{value} to {lower}.") - upper = categories[feature][value]["max"] + round(max_vars[fv].x) - assert upper >= categories[feature][value]["max"] - if upper > categories[feature][value]["max"]: - assert lower == categories[feature][value]["min"] - output_lines.append(f"Recommend raising upper quota of {feature}:{value} to {upper}.") - new_quotas[fv] = (lower, upper) - - return new_quotas, output_lines - - -def _setup_committee_generation( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - households: dict[str, int] | None, -) -> tuple[mip.model.Model, dict[str, mip.entities.Var]]: - model = mip.Model(sense=mip.MAXIMIZE) - model.verbose = debug - - # for every person, we have a binary variable indicating whether they are in the committee - agent_vars = {pid: model.add_var(var_type=mip.BINARY) for pid in people} - - # we have to select exactly `number_people_wanted` many persons - model.add_constr(mip.xsum(agent_vars.values()) == number_people_wanted) - - # we have to respect quotas - for feature, values in categories.items(): - for value in values: - number_feature_value_agents = mip.xsum( - agent_vars[pid] for pid, person in people.items() if person[feature] == value - ) - model.add_constr(number_feature_value_agents >= categories[feature][value]["min"]) - model.add_constr(number_feature_value_agents <= categories[feature][value]["max"]) - - # we might not be able to select multiple persons from the same household - if check_same_address: - people_by_household = {} - for hid, household in households.items(): - if household not in people_by_household: - people_by_household[household] = [] - people_by_household[household].append(hid) - - for members in people_by_household.values(): - if len(members) > 1: - model.add_constr(mip.xsum(agent_vars[mid] for mid in members) <= 1) - - # Optimize once without any constraints to check if no feasible committees exist at all. - status = model.optimize() - if status == mip.OptimizationStatus.INFEASIBLE: - new_quotas, output_lines = _relax_infeasible_quotas( - categories, - people, - number_people_wanted, - check_same_address, - households, - ) - raise InfeasibleQuotasError(new_quotas, output_lines) - if status != mip.OptimizationStatus.OPTIMAL: - msg = ( - f"No feasible committees found, solver returns code {status} (see " - "https://docs.python-mip.com/en/latest/classes.html#optimizationstatus)." - ) - raise SelectionError(msg) - - return model, agent_vars - - -def _find_any_committee( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], -) -> tuple[list[frozenset[str]], list[str]]: - households = _compute_households(people, columns_data, check_same_address_columns) if check_same_address else None - - model, agent_vars = _setup_committee_generation( - categories, - people, - number_people_wanted, - check_same_address, - households, - ) - committee = _ilp_results_to_committee(agent_vars) - return [committee], [] - - -def _generate_initial_committees( - new_committee_model: mip.model.Model, - agent_vars: dict[str, mip.entities.Var], - multiplicative_weights_rounds: int, -) -> tuple[set[frozenset[str]], frozenset[str], list[str]]: - """To speed up the main iteration of the maximin and Nash algorithms, start from a diverse set of feasible - committees. In particular, each agent that can be included in any committee will be included in at least one of - these committees. - """ - new_output_lines = [] - committees: set[frozenset[str]] = set() # Committees discovered so far - covered_agents: set[str] = set() # All agents included in some committee - - # We begin using a multiplicative-weight stage. Each agent has a weight between 0.99 and 1 - # Note that if all start with weight `1` then we can end up with some committees - # having the wrong number of results. - # Further investigation of this to happen under https://github.com/sortitionfoundation/stratification-app/issues/23 - weights = {item: random.uniform(0.99, 1.0) for item in agent_vars} - for i in range(multiplicative_weights_rounds): - # In each round, we find a - # feasible committee such that the sum of weights of its members is maximal. - new_committee_model.objective = mip.xsum(weights[item] * agent_vars[item] for item in agent_vars) - new_committee_model.optimize() - new_set = _ilp_results_to_committee(agent_vars) - - # We then decrease the weight of each agent in the new committee by a constant factor. As a result, future - # rounds will strongly prioritize including agents that appear in few committees. - for item in new_set: - weights[item] *= 0.8 - # We rescale the weights, which does not change the conceptual algorithm but prevents floating point problems. - coefficient_sum = sum(weights.values()) - for item in agent_vars: - weights[item] *= len(agent_vars) / coefficient_sum - - if new_set not in committees: - # We found a new committee, and repeat. - committees.add(new_set) - for item in new_set: - covered_agents.add(item) - else: - # If our committee is already known, make all weights a bit more equal again to mix things up a little. - for item in agent_vars: - weights[item] = 0.9 * weights[item] + 0.1 - - print( - f"Multiplicative weights phase, round {i + 1}/{multiplicative_weights_rounds}. Discovered {len(committees)}" - " committees so far.", - ) - - # If there are any agents that have not been included so far, try to find a committee including this specific agent. - for item, value in agent_vars.items(): - if item not in covered_agents: - new_committee_model.objective = value # only care about agent `item` being included. - new_committee_model.optimize() - new_set: frozenset[str] = _ilp_results_to_committee(agent_vars) - if item in new_set: - committees.add(new_set) - for id2 in new_set: - covered_agents.add(id2) - else: - new_output_lines.append( - _print(f"Agent {item} not contained in any feasible committee."), - ) - - # We assume in this stage that the quotas are feasible. - assert len(committees) >= 1 - - if len(covered_agents) == len(agent_vars): - new_output_lines.append(_print("All agents are contained in some feasible committee.")) - - return committees, frozenset(covered_agents), new_output_lines - - -def _dual_leximin_stage( - people: dict[str, dict[str, str]], - committees: set[frozenset[str]], - fixed_probabilities: dict[str, float], -): - """This implements the dual LP described in `find_distribution_leximin`, but where P only ranges over the panels - in `committees` rather than over all feasible panels: - minimize ŷ - Σ_{i in fixed_probabilities} fixed_probabilities[i] * yᵢ - s.t. Σ_{i ∈ P} yᵢ ≤ ŷ ∀ P - Σ_{i not in fixed_probabilities} yᵢ = 1 - ŷ, yᵢ ≥ 0 ∀ i - - Returns a Tuple[grb.Model, Dict[str, grb.Var], grb.Var] (not in type signature to prevent global gurobi import.) - """ - import gurobipy as grb - - assert len(committees) != 0 - - model = grb.Model() - agent_vars = {person: model.addVar(vtype=grb.GRB.CONTINUOUS, lb=0.0) for person in people} # yᵢ - cap_var = model.addVar(vtype=grb.GRB.CONTINUOUS, lb=0.0) # ŷ - model.addConstr( - grb.quicksum(agent_vars[person] for person in people if person not in fixed_probabilities) == 1, - ) - for committee in committees: - model.addConstr(grb.quicksum(agent_vars[person] for person in committee) <= cap_var) - model.setObjective( - cap_var - grb.quicksum(fixed_probabilities[person] * agent_vars[person] for person in fixed_probabilities), - grb.GRB.MINIMIZE, - ) - - # Change Gurobi configuration to encourage strictly complementary (“inner”) solutions. These solutions will - # typically allow to fix more probabilities per outer loop of the leximin algorithm. - model.setParam("Method", 2) # optimize via barrier only - model.setParam("Crossover", 0) # deactivate cross-over - - return model, agent_vars, cap_var - - -def find_distribution_leximin( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], -) -> tuple[list[frozenset[str]], list[float], list[str]]: - """Find a distribution over feasible committees that maximizes the minimum probability of an agent being selected - (just like maximin), but breaks ties to maximize the second-lowest probability, breaks further ties to maximize the - third-lowest probability and so forth. - - Arguments follow the pattern of `find_random_sample`. - - Returns: - (committees, probabilities, output_lines) - `committees` is a list of feasible committees, where each committee is represented by a frozen set of included - agent ids. - `probabilities` is a list of probabilities of equal length, describing the probability with which each committee - should be selected. - `output_lines` is a list of debug strings. - """ - import gurobipy as grb - - output_lines = ["Using leximin algorithm."] - grb.setParam("OutputFlag", 0) - - households = _compute_households(people, columns_data, check_same_address_columns) if check_same_address else None - - # Set up an ILP `new_committee_model` that can be used for discovering new feasible committees maximizing some - # sum of weights over the agents. - new_committee_model, agent_vars = _setup_committee_generation( - categories, - people, - number_people_wanted, - check_same_address, - households, - ) - - # Start by finding some initial committees, guaranteed to cover every agent that can be covered by some committee - committees: set[frozenset[str]] # set of feasible committees, add more over time - covered_agents: frozenset[str] # all agent ids for agents that can actually be included - committees, covered_agents, new_output_lines = _generate_initial_committees( - new_committee_model, - agent_vars, - 3 * len(people), - ) - output_lines += new_output_lines - - # Over the course of the algorithm, the selection probabilities of more and more agents get fixed to a certain value - fixed_probabilities: dict[str, float] = {} - - reduction_counter = 0 - - # The outer loop maximizes the minimum of all unfixed probabilities while satisfying the fixed probabilities. - # In each iteration, at least one more probability is fixed, but often more than one. - while len(fixed_probabilities) < len(people): - print(f"Fixed {len(fixed_probabilities)}/{len(people)} probabilities.") - - dual_model, dual_agent_vars, dual_cap_var = _dual_leximin_stage( - people, - committees, - fixed_probabilities, - ) - # In the inner loop, there is a column generation for maximizing the minimum of all unfixed probabilities - while True: - """The primal LP being solved by column generation, with a variable x_P for each feasible panel P: - - maximize z - s.t. Σ_{P : i ∈ P} x_P ≥ z ∀ i not in fixed_probabilities - Σ_{P : i ∈ P} x_P ≥ fixed_probabilities[i] ∀ i in fixed_probabilities - Σ_P x_P ≤ 1 (This should be thought of as equality, and wlog. - optimal solutions have equality, but simplifies dual) - x_P ≥ 0 ∀ P - - We instead solve its dual linear program: - minimize ŷ - Σ_{i in fixed_probabilities} fixed_probabilities[i] * yᵢ - s.t. Σ_{i ∈ P} yᵢ ≤ ŷ ∀ P - Σ_{i not in fixed_probabilities} yᵢ = 1 - ŷ, yᵢ ≥ 0 ∀ i - """ - dual_model.optimize() - if dual_model.status != grb.GRB.OPTIMAL: - # In theory, the LP is feasible in the first iterations, and we only add constraints (by fixing - # probabilities) that preserve feasibility. Due to floating-point issues, however, it may happen that - # Gurobi still cannot satisfy all the fixed probabilities in the primal (meaning that the dual will be - # unbounded). In this case, we slightly relax the LP by slightly reducing all fixed probabilities. - for agent in fixed_probabilities: - # Relax all fixed probabilities by a small constant - fixed_probabilities[agent] = max(0.0, fixed_probabilities[agent] - 0.0001) - dual_model, dual_agent_vars, dual_cap_var = _dual_leximin_stage( - people, - committees, - fixed_probabilities, - ) - print(dual_model.status, f"REDUCE PROBS for {reduction_counter}th time.") - reduction_counter += 1 - continue - - # Find the panel P for which Σ_{i ∈ P} yᵢ is largest, i.e., for which Σ_{i ∈ P} yᵢ ≤ ŷ is tightest - agent_weights = {person: agent_var.x for person, agent_var in dual_agent_vars.items()} - new_committee_model.objective = mip.xsum(agent_weights[person] * agent_vars[person] for person in people) - new_committee_model.optimize() - new_set = _ilp_results_to_committee(agent_vars) # panel P - value = new_committee_model.objective_value # Σ_{i ∈ P} yᵢ - - upper = dual_cap_var.x # ŷ - dual_obj = dual_model.objVal # ŷ - Σ_{i in fixed_probabilities} fixed_probabilities[i] * yᵢ - - output_lines.append( - _print( - f"Maximin is at most {dual_obj - upper + value:.2%}, can do {dual_obj:.2%} with " - f"{len(committees)} committees. Gap {value - upper:.2%}.", - ), - ) - if value <= upper + EPS: - # Within numeric tolerance, the panels in `committees` are enough to constrain the dual, i.e., they are - # enough to support an optimal primal solution. - for person, agent_weight in agent_weights.items(): - if agent_weight > EPS and person not in fixed_probabilities: - # `agent_weight` is the dual variable yᵢ of the constraint "Σ_{P : i ∈ P} x_P ≥ z" for - # i = `person` in the primal LP. If yᵢ is positive, this means that the constraint must be - # binding in all optimal solutions [1], and we can fix `person`'s probability to the - # optimal value of the primal/dual LP. - # [1] Theorem 3.3 in: Renato Pelessoni. Some remarks on the use of the strict complementarity in - # checking coherence and extending coherent probabilities. 1998. - fixed_probabilities[person] = max(0, dual_obj) - break - # Given that Σ_{i ∈ P} yᵢ > ŷ, the current solution to `dual_model` is not yet a solution to the dual. - # Thus, add the constraint for panel P and recurse. - assert new_set not in committees - committees.add(new_set) - dual_model.addConstr( - grb.quicksum(dual_agent_vars[item] for item in new_set) <= dual_cap_var, - ) - - # The previous algorithm computed the leximin selection probabilities of each agent and a set of panels such that - # the selection probabilities can be obtained by randomizing over these panels. Here, such a randomization is found. - primal = grb.Model() - # Variables for the output probabilities of the different panels - committee_vars = [primal.addVar(vtype=grb.GRB.CONTINUOUS, lb=0.0) for _ in committees] - # To avoid numerical problems, we formally minimize the largest downward deviation from the fixed probabilities. - eps = primal.addVar(vtype=grb.GRB.CONTINUOUS, lb=0.0) - primal.addConstr(grb.quicksum(committee_vars) == 1) # Probabilities add up to 1 - for person, prob in fixed_probabilities.items(): - person_probability = grb.quicksum( - comm_var for committee, comm_var in zip(committees, committee_vars, strict=False) if person in committee - ) - primal.addConstr(person_probability >= prob - eps) - primal.setObjective(eps, grb.GRB.MINIMIZE) - primal.optimize() - - # Bound variables between 0 and 1 and renormalize, because np.random.choice is sensitive to small deviations here - probabilities = np.array([comm_var.x for comm_var in committee_vars]).clip(0, 1) - probabilities = list(probabilities / sum(probabilities)) - - return list(committees), probabilities, output_lines - - -def _find_maximin_primal( - committees: list[frozenset[str]], - covered_agents: frozenset[str], -) -> list[float]: - model = mip.Model(sense=mip.MAXIMIZE) - - committee_variables = [model.add_var(var_type=mip.CONTINUOUS, lb=0.0, ub=1.0) for _ in committees] - model.add_constr(mip.xsum(committee_variables) == 1) - agent_panel_variables = {item: [] for item in covered_agents} - for committee, var in zip(committees, committee_variables, strict=False): - for item in committee: - if item in covered_agents: - agent_panel_variables[item].append(var) - - lower = model.add_var(var_type=mip.CONTINUOUS, lb=0.0, ub=1.0) - - for agent_variables in agent_panel_variables.values(): - model.add_constr(lower <= mip.xsum(agent_variables)) - model.objective = lower - model.optimize() - - probabilities = [var.x for var in committee_variables] - probabilities = [max(p, 0) for p in probabilities] - sum_probabilities = sum(probabilities) - return [p / sum_probabilities for p in probabilities] - - -def find_distribution_maximin( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], -) -> tuple[list[frozenset[str]], list[float], list[str]]: - """Find a distribution over feasible committees that maximizes the minimum probability of an agent being selected. - - Arguments follow the pattern of `find_random_sample`. - - Returns: - (committees, probabilities, output_lines) - `committees` is a list of feasible committees, where each committee is represented by a frozen set of included - agent ids. - `probabilities` is a list of probabilities of equal length, describing the probability with which each committee - should be selected. - `output_lines` is a list of debug strings. - """ - output_lines = [_print("Using maximin algorithm.")] - - households = _compute_households(people, columns_data, check_same_address_columns) if check_same_address else None - - # Set up an ILP `new_committee_model` that can be used for discovering new feasible committees maximizing some - # sum of weights over the agents. - new_committee_model, agent_vars = _setup_committee_generation( - categories, - people, - number_people_wanted, - check_same_address, - households, - ) - - # Start by finding some initial committees, guaranteed to cover every agent that can be covered by some committee - committees: set[frozenset[str]] # set of feasible committees, add more over time - covered_agents: frozenset[str] # all agent ids for agents that can actually be included - committees, covered_agents, new_output_lines = _generate_initial_committees( - new_committee_model, - agent_vars, - len(people), - ) - output_lines += new_output_lines - - # The incremental model is an LP with a variable y_e for each entitlement e and one more variable z. - # For an agent i, let e(i) denote her entitlement. Then, the LP is: - # - # minimize z - # s.t. Σ_{i ∈ B} y_{e(i)} ≤ z ∀ feasible committees B (*) - # Σ_e y_e = 1 - # y_e ≥ 0 ∀ e - # - # At any point in time, constraint (*) is only enforced for the committees in `committees`. By linear-programming - # duality, if the optimal solution with these reduced constraints satisfies all possible constraints, the committees - # in `committees` are enough to find the maximin distribution among them. - incremental_model = mip.Model(sense=mip.MINIMIZE) - incremental_model.verbose = debug - - upper_bound = incremental_model.add_var( - var_type=mip.CONTINUOUS, - lb=0.0, - ub=mip.INF, - ) # variable z - # variables y_e - incr_agent_vars = { - item: incremental_model.add_var(var_type=mip.CONTINUOUS, lb=0.0, ub=1.0) for item in covered_agents - } - - # Σ_e y_e = 1 - incremental_model.add_constr(mip.xsum(incr_agent_vars.values()) == 1) - # minimize z - incremental_model.objective = upper_bound - - for committee in committees: - committee_sum = mip.xsum([incr_agent_vars[cid] for cid in committee]) - # Σ_{i ∈ B} y_{e(i)} ≤ z ∀ B ∈ `committees` - incremental_model.add_constr(committee_sum <= upper_bound) - - while True: - status = incremental_model.optimize() - assert status == mip.OptimizationStatus.OPTIMAL - - # currently optimal values for y_e - entitlement_weights = {item: incr_agent_vars[item].x for item in covered_agents} - upper = upper_bound.x # currently optimal value for z - - # For these fixed y_e, find the feasible committee B with maximal Σ_{i ∈ B} y_{e(i)}. - new_committee_model.objective = mip.xsum( - entitlement_weights[item] * agent_vars[item] for item in covered_agents - ) - new_committee_model.optimize() - new_set = _ilp_results_to_committee(agent_vars) - value = sum(entitlement_weights[item] for item in new_set) - - output_lines.append( - _print( - f"Maximin is at most {value:.2%}, can do {upper:.2%} with {len(committees)} " - f"committees. Gap {value - upper:.2%}{'≤' if value - upper <= EPS else '>'}{EPS:%}.", - ), - ) - if value <= upper + EPS: - # No feasible committee B violates Σ_{i ∈ B} y_{e(i)} ≤ z (at least up to EPS, to prevent rounding errors). - # Thus, we have enough committees. - committee_list = list(committees) - probabilities = _find_maximin_primal(committee_list, covered_agents) - return committee_list, probabilities, output_lines - # Some committee B violates Σ_{i ∈ B} y_{e(i)} ≤ z. We add B to `committees` and recurse. - assert new_set not in committees - committees.add(new_set) - incremental_model.add_constr(mip.xsum(incr_agent_vars[item] for item in new_set) <= upper_bound) - - # Heuristic for better speed in practice: - # Because optimizing `incremental_model` takes a long time, we would like to get multiple committees out - # of a single run of `incremental_model`. Rather than reoptimizing for optimal y_e and z, we find some - # feasible values y_e and z by modifying the old solution. - # This heuristic only adds more committees, and does not influence correctness. - counter = 0 - for _ in range(10): - # scale down the y_{e(i)} for i ∈ `new_set` to make Σ_{i ∈ `new_set`} y_{e(i)} ≤ z true. - for item in new_set: - entitlement_weights[item] *= upper / value - # This will change Σ_e y_e to be less than 1. We rescale the y_e and z. - sum_weights = sum(entitlement_weights.values()) - if sum_weights < EPS: - break - for item in entitlement_weights: - entitlement_weights[item] /= sum_weights - upper /= sum_weights - - new_committee_model.objective = mip.xsum( - entitlement_weights[item] * agent_vars[item] for item in covered_agents - ) - new_committee_model.optimize() - new_set = _ilp_results_to_committee(agent_vars) - value = sum(entitlement_weights[item] for item in new_set) - if value <= upper + EPS or new_set in committees: - break - committees.add(new_set) - incremental_model.add_constr( - mip.xsum(incr_agent_vars[item] for item in new_set) <= upper_bound, - ) - counter += 1 - if counter > 0: - print(f"Heuristic successfully generated {counter} additional committees.") - - -def _define_entitlements(covered_agents: frozenset[str]) -> tuple[list[str], dict[str, int]]: - entitlements = list(covered_agents) - contributes_to_entitlement = {} - for item in covered_agents: - contributes_to_entitlement[item] = entitlements.index(item) - - return entitlements, contributes_to_entitlement - - -def _committees_to_matrix( - committees: list[frozenset[str]], - entitlements: list, - contributes_to_entitlement: dict[str, int], -) -> np.ndarray: - columns = [] - for committee in committees: - column = [0 for _ in entitlements] - for item in committee: - column[contributes_to_entitlement[item]] += 1 - columns.append(np.array(column)) - return np.column_stack(columns) - - -def find_distribution_nash( - categories: dict[str, dict[str, dict[str, int]]], - people: dict[str, dict[str, str]], - columns_data: dict[str, dict[str, str]], - number_people_wanted: int, - check_same_address: bool, - check_same_address_columns: list[str], -) -> tuple[list[frozenset[str]], list[float], list[str]]: - """Find a distribution over feasible committees that maximizes the so-called Nash welfare, i.e., the product of - selection probabilities over all persons. - - Arguments follow the pattern of `find_random_sample`. - - Returns: - (committees, probabilities, output_lines) - `committees` is a list of feasible committees, where each committee is represented by a frozen set of included - agent ids. - `probabilities` is a list of probabilities of equal length, describing the probability with which each committee - should be selected. - `output_lines` is a list of debug strings. - - The following gives more details about the algorithm: - Instead of directly maximizing the product of selection probabilities Πᵢ pᵢ, we equivalently maximize - log(Πᵢ pᵢ) = Σᵢ log(pᵢ). If some person/household i is not included in any feasible committee, their pᵢ is 0, and - this sum is -∞. We will then try to maximize Σᵢ log(pᵢ) where i is restricted to range over persons/households that - can possibly be included. - """ - output_lines = ["Using Nash algorithm."] - - households = _compute_households(people, columns_data, check_same_address_columns) if check_same_address else None - - # `new_committee_model` is an integer linear program (ILP) used for discovering new feasible committees. - # We will use it many times, putting different weights on the inclusion of different agents to find many feasible - # committees. - new_committee_model, agent_vars = _setup_committee_generation( - categories, - people, - number_people_wanted, - check_same_address, - households, - ) - - # Start by finding committees including every agent, and learn which agents cannot possibly be included. - committees: list[frozenset[str]] # set of feasible committees, add more over time - covered_agents: frozenset[str] # all agent ids for agents that can actually be included - committee_set, covered_agents, new_output_lines = _generate_initial_committees( - new_committee_model, - agent_vars, - 2 * len(people), - ) - committees = list(committee_set) - output_lines += new_output_lines - - # Map the covered agents to indices in a list for easier matrix representation. - entitlements: list[str] - contributes_to_entitlement: dict[ - str, - int, - ] # for id of a covered agent, the corresponding index in `entitlements` - entitlements, contributes_to_entitlement = _define_entitlements(covered_agents) - - # Now, the algorithm proceeds iteratively. First, it finds probabilities for the committees already present in - # `committees` that maximize the sum of logarithms. Then, reusing the old ILP, it finds the feasible committee - # (possibly outside of `committees`) such that the partial derivative of the sum of logarithms with respect to the - # probability of outputting this committee is maximal. If this partial derivative is less than the maximal partial - # derivative of any committee already in `committees`, the Karush-Kuhn-Tucker conditions (which are sufficient in - # this case) imply that the distribution is optimal even with all other committees receiving probability 0. - start_lambdas = [1 / len(committees) for _ in committees] - while True: - lambdas = cp.Variable(len(committees)) # probability of outputting a specific committee - lambdas.value = start_lambdas - # A is a binary matrix, whose (i,j)th entry indicates whether agent `feasible_agents[i]` - matrix = _committees_to_matrix(committees, entitlements, contributes_to_entitlement) - assert matrix.shape == (len(entitlements), len(committees)) - - objective = cp.Maximize(cp.sum(cp.log(matrix * lambdas))) - constraints = [lambdas >= 0, sum(lambdas) == 1] - problem = cp.Problem(objective, constraints) - # TODO: test relative performance of both solvers, see whether warm_start helps. - try: - nash_welfare = problem.solve(solver=cp.SCS, warm_start=True) - except cp.SolverError: - # At least the ECOS solver in cvxpy crashes sometimes (numerical instabilities?). In this case, try another - # solver. But hope that SCS is more stable. - output_lines.append(_print("Had to switch to ECOS solver.")) - nash_welfare = problem.solve(solver=cp.ECOS, warm_start=True) - scaled_welfare = nash_welfare - len(entitlements) * log( - number_people_wanted / len(entitlements), - ) - output_lines.append(_print(f"Scaled Nash welfare is now: {scaled_welfare}.")) - - assert lambdas.value.shape == (len(committees),) - entitled_utilities = matrix.dot(lambdas.value) - assert entitled_utilities.shape == (len(entitlements),) - assert (entitled_utilities > EPS2).all() - entitled_reciprocals = 1 / entitled_utilities - assert entitled_reciprocals.shape == (len(entitlements),) - differentials = entitled_reciprocals.dot(matrix) - assert differentials.shape == (len(committees),) - - obj = [entitled_reciprocals[contributes_to_entitlement[item]] * agent_vars[item] for item in covered_agents] - new_committee_model.objective = mip.xsum(obj) - new_committee_model.optimize() - - new_set = _ilp_results_to_committee(agent_vars) - value = sum(entitled_reciprocals[contributes_to_entitlement[item]] for item in new_set) - if value <= differentials.max() + EPS_NASH: - probabilities = np.array(lambdas.value).clip(0, 1) - probabilities = list(probabilities / sum(probabilities)) - # TODO: filter 0-probability committees? - return committees, probabilities, output_lines - print(value, differentials.max(), value - differentials.max()) - assert new_set not in committees - committees.append(new_set) - start_lambdas = np.array(lambdas.value).resize(len(committees)) - - -################################### -# -# main algorithm call -# -################################### - - -def run_stratification( - categories, - people, - columns_data, - number_people_wanted: int, - min_max_people: dict[str, dict[str, int]], - settings: Settings, - test_selection: bool, - number_selections: int, -) -> tuple[bool, list[frozenset[str]], list[str]]: - # First check if numbers in cat file and to select make sense - for mkey, mvalue in min_max_people.items(): - if settings.selection_algorithm == "legacy" and ( # For other algorithms, quotas are analyzed later - number_people_wanted < mvalue["min"] or number_people_wanted > mvalue["max"] - ): - error_msg = ( - "The number of people to select ({}) is out of the range of the numbers of people " - "in one of the {} categories. It should be within [{}, {}].".format( - number_people_wanted, - mkey, - mvalue["min"], - mvalue["max"], - ) - ) - return False, [], [error_msg] - # set the random seed if it is NOT zero - if settings.random_number_seed: - random.seed(settings.random_number_seed) - - tries = 0 - success = False - output_lines = [] - if test_selection: - output_lines.append( - "WARNING: Panel is not selected at random! Only use for testing!
", - ) - output_lines.append("Initial: (selected = 0)") - categories_working = {} - people_selected = [] - while not success and tries < settings.max_attempts: - people_selected = [] - people_working = copy.deepcopy(people) - categories_working = copy.deepcopy(categories) - if tries == 0: - new_output_lines = print_category_info( - categories_working, - people, - people_selected, - number_people_wanted, - ) - output_lines += new_output_lines - - output_lines.append(f"Trial number: {tries}") - try: - people_selected, new_output_lines = find_random_sample( - categories_working, - people_working, - columns_data, - number_people_wanted, - settings.check_same_address, - settings.check_same_address_columns, - settings.selection_algorithm, - test_selection, - number_selections, - ) - output_lines += new_output_lines - # check we have met targets needed in all cats - # note this only works for number_selections = 1 - new_output_lines = print_category_info( - categories_working, - people, - people_selected, - number_people_wanted, - ) - success, check_output_lines = check_category_selected( - categories_working, - people, - people_selected, - number_selections, - ) - if success: - output_lines.append("SUCCESS!! Final:") - output_lines += new_output_lines + check_output_lines - except ValueError as err: - output_lines.append(str(err)) - break - except InfeasibleQuotasError as err: - output_lines += err.output - break - except InfeasibleQuotasCantRelaxError as err: - output_lines.append(err.message) - break - except SelectionError as serr: - output_lines.append("Failed: Selection Error thrown: " + serr.msg) - tries += 1 - if not success: - output_lines.append(f"Failed {tries} times... gave up.") - return success, people_selected, output_lines diff --git a/test_end_to_end.py b/test_end_to_end.py deleted file mode 100644 index 6089d1c..0000000 --- a/test_end_to_end.py +++ /dev/null @@ -1,87 +0,0 @@ -from pathlib import Path - -import pytest - -from stratification import ( - PeopleAndCatsCSV, - Settings, -) - -# legacy is broken, so exclude that for now -ALGORITHMS = ("legacy", "maximin", "leximin", "nash") -PEOPLE_TO_SELECT = 22 - -categories_content = Path("fixtures/categories.csv").read_text("utf8") -candidates_content = Path("fixtures/candidates.csv").read_text("utf8") -candidates_lines = [line.strip() for line in candidates_content.split("\n") if line.strip()] - -dummy = """ -The header line of candidates.csv is: -nationbuilder_id,first_name,last_name,email,mobile_number,primary_address1,primary_address2,primary_city,primary_zip,gender,age_bracket,geo_bucket,edu_level -""" - - -def get_settings(algorithm="leximin"): - columns_to_keep = [ - "first_name", - "last_name", - "mobile_number", - "email", - "primary_address1", - "primary_address2", - "primary_city", - "primary_zip", - "gender", - "age_bracket", - "geo_bucket", - "edu_level", - ] - return Settings( - id_column="nationbuilder_id", - columns_to_keep=columns_to_keep, - check_same_address=True, - check_same_address_columns=["primary_address1", "primary_zip"], - max_attempts=100, - selection_algorithm=algorithm, - random_number_seed=0, - json_file_path=Path.home() / "secret_do_not_commit.json", - ) - - -# TODO parametrize - each of the 4 algorithms - check coverage after that! -@pytest.mark.parametrize("algorithm", ALGORITHMS) -def test_csv_selection_happy_path_defaults(algorithm): - """ - Objective: Check the happy path completes. - Context: - This test is meant to do what the use will do via the GUI when using a CSV file. - Expectations: - Given default settings and an easy selection, we should get selected and remaining. - """ - settings = get_settings(algorithm) - people_cats = PeopleAndCatsCSV() - people_cats.load_cats(categories_content, "Categories", settings) - people_cats.number_people_to_select = PEOPLE_TO_SELECT - message = people_cats.load_people(settings, candidates_content, "Respondents", "Categories", "") - print("load_people_message: ") - print(message) - success, output_lines = people_cats.people_cats_run_stratification( - settings, - test_selection=False, - ) - # we are removing the header line with the [1:] - selected_lines = [ - line.strip() - for line in people_cats.get_selected_file().getvalue().split("\n") - if line.strip() - ][1:] - remaining_lines = [ - line.strip() - for line in people_cats.get_remaining_file().getvalue().split("\n") - if line.strip() - ][1:] - print(output_lines) - assert success - assert len(selected_lines) == PEOPLE_TO_SELECT - # we have the -1 to remove the header - assert len(selected_lines) + len(remaining_lines) == len(candidates_lines) - 1 diff --git a/test_stratification.py b/test_stratification.py deleted file mode 100644 index 5296426..0000000 --- a/test_stratification.py +++ /dev/null @@ -1,501 +0,0 @@ -from copy import deepcopy -from dataclasses import dataclass -from itertools import combinations -from unittest import TestCase - -from stratification import ( - InfeasibleQuotasCantRelaxError, - find_distribution_maximin, - find_distribution_nash, -) - - -@dataclass -class Example: - categories: dict[str, dict[str, dict[str, int]]] - people: dict[str, dict[str, str]] - columns_data: dict[str, dict[str, str]] - number_people_wanted: int - - -example1 = Example( - { - "age": {"child": {"min": 1, "max": 2}, "adult": {"min": 1, "max": 2}}, - "franchise": {"simpsons": {"min": 1, "max": 2}, "ducktales": {"min": 1, "max": 2}}, - }, - { - "lisa": {"age": "child", "franchise": "simpsons"}, - "marge": {"age": "adult", "franchise": "simpsons"}, - "louie": {"age": "child", "franchise": "ducktales"}, - "dewey": {"age": "child", "franchise": "ducktales"}, - "scrooge": {"age": "adult", "franchise": "ducktales"}, - }, - { - "lisa": {"home": "1"}, - "marge": {"home": "3"}, - "louie": {"home": "2"}, - "dewey": {"home": "2"}, - "scrooge": {"home": "1"}, - }, - 2, -) - -example2 = deepcopy(example1) -example2.columns_data = { - "lisa": {"home": "1"}, - "marge": {"home": "3"}, - "louie": {"home": "1"}, - "dewey": {"home": "2"}, - "scrooge": {"home": "1"}, -} - -# In this example, every committee must include agent "a" because that is the only way to get a v1 agent for all three -# features with only two agents on the committee. -example3 = Example( - { - "f1": {"v1": {"min": 1, "max": 2}, "v2": {"min": 0, "max": 2}}, - "f2": {"v1": {"min": 1, "max": 2}, "v2": {"min": 0, "max": 2}}, - "f3": {"v1": {"min": 1, "max": 2}, "v2": {"min": 0, "max": 2}}, - }, - { - "a": {"f1": "v1", "f2": "v1", "f3": "v1"}, - "b": {"f1": "v1", "f2": "v2", "f3": "v2"}, - "c": {"f1": "v2", "f2": "v1", "f3": "v2"}, - "d": {"f1": "v2", "f2": "v2", "f3": "v1"}, - }, - {"a": {"home": "1"}, "b": {"home": "2"}, "c": {"home": "3"}, "d": {"home": "3"}}, - 2, -) - -# Because we need _exactly_ one v1 agent from every agent, there are no feasible committees. Any committee without "a" -# does not have any v1 agent for one of the three features; if "a" is combined with any other agent, one feature will -# have to v1 agents.""" -example4 = deepcopy(example3) -example4.categories = { - "f1": { - "v1": {"min": 1, "max": 1, "min_flex": 0, "max_flex": 0}, - "v2": {"min": 0, "max": 2, "min_flex": 0, "max_flex": 0}, - }, - "f2": { - "v1": {"min": 1, "max": 1, "min_flex": 0, "max_flex": 0}, - "v2": {"min": 0, "max": 2, "min_flex": 0, "max_flex": 0}, - }, - "f3": { - "v1": {"min": 1, "max": 1, "min_flex": 0, "max_flex": 0}, - "v2": {"min": 0, "max": 2, "min_flex": 0, "max_flex": 0}, - }, -} - -# Categories: gender (female/male) and political leaning (liberal/conservative) -# Quotas: must include exactly 4 males, 1 female, 4 liberals, and 1 conservative. -# Pool: 4 liberal men, 1 liberal female, 1 conservative male, 1 conservative female. -# with: k = 5 -example5 = Example( - { - "gender": {"female": {"min": 1, "max": 1}, "male": {"min": 4, "max": 4}}, - "political": {"liberal": {"min": 4, "max": 4}, "conservative": {"min": 1, "max": 1}}, - }, - { - "adam": {"gender": "male", "political": "liberal"}, - "brian": {"gender": "male", "political": "liberal"}, - "cameron": {"gender": "male", "political": "liberal"}, - "dave": {"gender": "male", "political": "liberal"}, - "elinor": {"gender": "female", "political": "liberal"}, - "frank": {"gender": "male", "political": "conservative"}, - "grace": {"gender": "female", "political": "conservative"}, - }, - {"adam": {}, "brian": {}, "cameron": {}, "dave": {}, "elinor": {}, "frank": {}, "grace": {}}, - 5, -) - -# In this example, agent "p61" cannot be chosen for the committee, but in a somewhat subtle way. Consider just groups -# A, B, and C for now (D, E, and F are symmetric). The lower quotas on the v1's need at least 23 agents on A, B, and C; -# e.g. it could place 8 on A, 8 on B, and 7 on C. The same is true for D, E, and F; so none of the 46 seats is free for -# the extra person. This is subtle because the situation would be very different if we could choose fractions of a -# person on our committee. Then, we could choose 7.5 people from A through F each and even choose the extra person each -# time, or choose every person with equal probability. -example6_categories = { - "f1": { - "v1": {"min": 15, "max": 46}, # at least 15 people from A & B together - "v2": {"min": 15, "max": 46}, # at least 15 people from D & E together - "v3": {"min": 0, "max": 46}, - }, - "f2": { - "v1": {"min": 15, "max": 46}, # at least 15 people from A & C together - "v2": {"min": 15, "max": 46}, # at least 15 people from D & F together - "v3": {"min": 0, "max": 46}, - }, - "f3": { - "v1": {"min": 15, "max": 46}, # at least 15 people from B & C together - "v2": {"min": 15, "max": 46}, # at least 15 people from E & F together - "v3": {"min": 0, "max": 46}, - }, -} -example6_people = {} -for i in range(1, 11): - example6_people["p" + str(i)] = {"f1": "v1", "f2": "v1", "f3": "v3"} # 10 people of kind A - example6_people["p" + str(i + 10)] = {"f1": "v1", "f2": "v3", "f3": "v1"} # 10 people of kind B - example6_people["p" + str(i + 20)] = {"f1": "v3", "f2": "v1", "f3": "v1"} # 10 people of kind C - example6_people["p" + str(i + 30)] = {"f1": "v2", "f2": "v2", "f3": "v3"} # 10 people of kind D - example6_people["p" + str(i + 40)] = {"f1": "v2", "f2": "v3", "f3": "v2"} # 10 people of kind E - example6_people["p" + str(i + 50)] = {"f1": "v3", "f2": "v2", "f3": "v2"} # 10 people of kind F -example6_people["p61"] = {"f1": "v3", "f2": "v3", "f3": "v3"} # 1 extra person -example6_columns_data = {pid: {} for pid in example6_people} -example6 = Example(example6_categories, example6_people, example6_columns_data, 46) - - -def _calculate_marginals(people, committees, probabilities): - marginals = {pid: 0 for pid in people} - for committee, prob in zip(committees, probabilities, strict=False): - for pid in committee: - marginals[pid] += prob - return marginals - - -class FindDistributionTests(TestCase): - PRECISION = 5 - - def _probabilities_well_formed(self, probabilities): - self.assertGreaterEqual(len(probabilities), 1) - for prob in probabilities: - self.assertGreaterEqual(prob, 0) - self.assertLessEqual(prob, 1) - prob_sum = sum(probabilities) - self.assertAlmostEqual(prob_sum, 1, places=self.PRECISION) - - def _allocation_feasible( # noqa: PLR0913 - self, - committee, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ): - self.assertEqual(len(committee), len(set(committee))) - self.assertEqual(len(committee), number_people_wanted) - for pid in committee: - self.assertIn(pid, people) - for feature in categories: - for value in categories[feature]: - num_value = sum(1 for pid in committee if people[pid][feature] == value) - self.assertGreaterEqual(num_value, categories[feature][value]["min"]) - self.assertLessEqual(num_value, categories[feature][value]["max"]) - if check_same_address: - for id1, id2 in combinations(committee, r=2): - self.assertNotEqual( - [columns_data[id1][col] for col in check_same_address_columns], - [columns_data[id2][col] for col in check_same_address_columns], - ) - - def _distribution_okay( # noqa: PLR0913 - self, - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ): - self._probabilities_well_formed(probabilities) - for committee in committees: - self._allocation_feasible( - committee, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - -class FindDistributionMaximinTests(FindDistributionTests): - def test_no_address_fair_to_people_1(self): - categories = example1.categories - people = example1.people - columns_data = example1.columns_data - number_people_wanted = example1.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # maximin is 1/3, can be achieved uniquely by - # 1/3: {louie, marge}, 1/3: {dewey, marge}, 1/3: {scrooge, lisa} - marginals = _calculate_marginals(people, committees, probabilities) - self.assertAlmostEqual(marginals["lisa"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["scrooge"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["louie"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["dewey"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["marge"], 2 / 3, places=self.PRECISION) - - def test_address_fair_to_people_1(self): - categories = example1.categories - people = example1.people - columns_data = example1.columns_data - number_people_wanted = example1.number_people_wanted - check_same_address = True - check_same_address_columns = ["home"] - committees, probabilities, _ = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # Scrooge and Lisa can no longer be included. E.g. if Scrooge is included, we need a simpsons child for the - # second position. Only Lisa qualifies, but lives in the same household. Unique maximin among everyone else is: - # 1/2: {louie, marge}, 1/2: {dewey, marge} - marginals = _calculate_marginals(people, committees, probabilities) - self.assertAlmostEqual(marginals["lisa"], 0, places=self.PRECISION) - self.assertAlmostEqual(marginals["scrooge"], 0, places=self.PRECISION) - self.assertAlmostEqual(marginals["louie"], 1 / 2, places=self.PRECISION) - self.assertAlmostEqual(marginals["dewey"], 1 / 2, places=self.PRECISION) - self.assertAlmostEqual(marginals["marge"], 1, places=self.PRECISION) - - def test_no_address_fair_to_people_2(self): - categories = example3.categories - people = example3.people - columns_data = example3.columns_data - number_people_wanted = example3.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # maximin is 1/3, can be achieved uniquely by - # 1/3: {a, b}, 1/3: {a, c}, 1/3: {a, d} - marginals = _calculate_marginals(people, committees, probabilities) - self.assertAlmostEqual(marginals["a"], 1, places=self.PRECISION) - self.assertAlmostEqual(marginals["b"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["c"], 1 / 3, places=self.PRECISION) - self.assertAlmostEqual(marginals["d"], 1 / 3, places=self.PRECISION) - - def test_no_address_fair_to_people_3(self): - categories = example4.categories - people = example4.people - columns_data = example4.columns_data - number_people_wanted = example4.number_people_wanted - check_same_address = False - check_same_address_columns = ["home"] - - # There are no feasible committees at all. - with self.assertRaises(InfeasibleQuotasCantRelaxError): - find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - def test_no_address_fair_to_people_4(self): - categories = example5.categories - people = example5.people - columns_data = example5.columns_data - number_people_wanted = example5.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # maximin is 1/2 (for individuals) - marginals = _calculate_marginals(people, committees, probabilities) - self.assertGreaterEqual(marginals["adam"], 1 / 2 - 1e-5) - self.assertGreaterEqual(marginals["brian"], 1 / 2 - 1e-05) - self.assertGreaterEqual(marginals["cameron"], 1 / 2 - 1e-05) - self.assertGreaterEqual(marginals["dave"], 1 / 2 - 1e-05) - self.assertGreaterEqual(marginals["frank"], 1 / 2 - 1e-05) - self.assertAlmostEqual(marginals["elinor"], 1 / 2, places=self.PRECISION) - self.assertAlmostEqual(marginals["grace"], 1 / 2, places=self.PRECISION) - - def test_no_address_fair_to_people_5(self): - categories = example6.categories - people = example6.people - columns_data = example6.columns_data - number_people_wanted = example6.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_maximin( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # The full maximin is 0 because p61 cannot be selected. But our algorithm should aim for the maximin among the - # remaining agents, which means choosing everyone else with probability 46/60. - marginals = _calculate_marginals(people, committees, probabilities) - self.assertEqual(marginals["p61"], 0) - for i in range(1, 61): - self.assertAlmostEqual(marginals["p" + str(i)], 46 / 60, places=self.PRECISION) - - -class FindDistributionNashTests(FindDistributionTests): - PRECISION = 3 - - def test_no_address_fair_to_people_3(self): - categories = example4.categories - people = example4.people - columns_data = example4.columns_data - number_people_wanted = example4.number_people_wanted - check_same_address = False - check_same_address_columns = ["home"] - - # There are no feasible committees at all. - with self.assertRaises(InfeasibleQuotasCantRelaxError): - find_distribution_nash( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - def test_no_address_fair_to_people_4(self): - categories = example5.categories - people = example5.people - columns_data = example5.columns_data - number_people_wanted = example5.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_nash( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._probabilities_well_formed(probabilities) - for committee in committees: - self._allocation_feasible( - committee, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # hand-calculated unique nash optimum - marginals = _calculate_marginals(people, committees, probabilities) - self.assertAlmostEqual(marginals["adam"], 6 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["brian"], 6 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["cameron"], 6 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["dave"], 6 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["frank"], 4 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["elinor"], 4 / 7, places=self.PRECISION) - self.assertAlmostEqual(marginals["grace"], 3 / 7, places=self.PRECISION) - - def test_no_address_fair_to_people_5(self): - categories = example6.categories - people = example6.people - columns_data = example6.columns_data - number_people_wanted = example6.number_people_wanted - check_same_address = False - check_same_address_columns = [] - committees, probabilities, _ = find_distribution_nash( - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - self._distribution_okay( - committees, - probabilities, - categories, - people, - columns_data, - number_people_wanted, - check_same_address, - check_same_address_columns, - ) - - # The full maximin is -∞ because p61 cannot be selected. 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categories_file_input.addEventListener("click", clear_file_value, false); - categories_file_input.addEventListener("change", handle_categories_file, false); - const categories_g_sheet_name_input = document.getElementById("categories-g-sheet"); - categories_g_sheet_name_input.addEventListener("input", handle_g_sheet_name, false); - const categories_respondents_tab_name_input = document.getElementById("categories-respondents-tab");//for respondents tab - categories_respondents_tab_name_input.addEventListener("input", handle_respondents_tab_name, false);//for categories tab - const categories_tab_name_input = document.getElementById("categories-tab");//for categories tab - categories_tab_name_input.addEventListener("input", handle_categories_tab_name, false);//for categories tab - const gen_rem_tab_input = document.getElementById("gen-rem-tab");//for generate remaining tab checkbox - gen_rem_tab_input.addEventListener('change', handle_gen_rem_tab, false);// for generate remaining tab checkbox - const number_selections_input = document.getElementById("number-selections");//for categories tab - number_selections_input.addEventListener("input", handle_number_selections, false);//for categories tab - const load_g_sheet_btn = document.getElementById('load-g-sheet-btn'); - load_g_sheet_btn.addEventListener('click', handle_load_g_sheet_btn, false); - const selection_file_input = document.getElementById("selection-file"); - selection_file_input.addEventListener("click", clear_file_value, false); - selection_file_input.addEventListener("change", handle_selection_file, false); - const select_number_people_input = document.getElementById("selection-number"); - select_number_people_input.addEventListener("input", handle_number_people, false); - const run_btn = document.getElementById('run-btn'); - run_btn.addEventListener('click', handle_run_button, false); - const run_test_btn = document.getElementById('run-test-btn'); - run_test_btn.addEventListener('click', handle_run_test_button, false); +$(function () { + + + function init_page() { + // CSV elements + const csv_file_features_input = document.getElementById("csv-file-features"); + csv_file_features_input.addEventListener("click", clear_file_value, false); + csv_file_features_input.addEventListener("change", handle_csv_file_features, false); + const csv_file_people_input = document.getElementById("csv-file-people"); + csv_file_people_input.addEventListener("click", clear_file_value, false); + csv_file_people_input.addEventListener("change", handle_csv_file_people, false); + const csv_run_btn = document.getElementById('csv-run-btn'); + csv_run_btn.addEventListener('click', handle_csv_run_button, false); + const csv_run_test_btn = document.getElementById('csv-run-test-btn'); + csv_run_test_btn.addEventListener('click', handle_csv_run_test_button, false); + const csv_panel_size_input = document.getElementById("csv-panel-size"); + csv_panel_size_input.addEventListener("input", handle_csv_panel_size, false); + + // Google Spreadsheet elements + const g_sheet_name_input = document.getElementById("g-sheet-name"); + g_sheet_name_input.addEventListener("input", handle_g_sheet_name, false); + const g_sheet_respondents_tab_name_input = document.getElementById("g-sheet-respondents-tab");//for respondents tab + g_sheet_respondents_tab_name_input.addEventListener("input", handle_respondents_tab_name, false);//for features/categories tab + const g_sheet_features_tab_name_input = document.getElementById("g-sheet-features-tab");//for features/categories tab + g_sheet_features_tab_name_input.addEventListener("input", handle_features_tab_name, false);//for features/categories tab + const g_sheet_gen_rem_tab_input = document.getElementById("g-sheet-gen-rem-tab");//for generate remaining tab checkbox + g_sheet_gen_rem_tab_input.addEventListener('change', handle_gen_rem_tab, false);// for generate remaining tab checkbox + const load_g_sheet_btn = document.getElementById('load-g-sheet-btn'); + load_g_sheet_btn.addEventListener('click', handle_load_g_sheet_btn, false); + const g_sheet_number_selections_input = document.getElementById("g-sheet-number-selections"); + g_sheet_number_selections_input.addEventListener("input", handle_g_sheet_number_selections, false); + const g_sheet_panel_size_input = document.getElementById("g-sheet-panel-size"); + g_sheet_panel_size_input.addEventListener("input", handle_g_sheet_panel_size, false); + const g_sheet_run_btn = document.getElementById('g-sheet-run-btn'); + g_sheet_run_btn.addEventListener('click', handle_g_sheet_run_button, false); + const g_sheet_run_test_btn = document.getElementById('g-sheet-run-test-btn'); + g_sheet_run_test_btn.addEventListener('click', handle_g_sheet_run_test_button, false); + } + + eel.expose(alert_user); + function alert_user(message, is_error) { + const alerts_div = document.getElementById("user-alerts"); + alerts_div.classList.add("alert"); + if (is_error) { + alerts_div.classList.add("alert-danger"); + } else { + alerts_div.classList.add("alert-info"); } - - eel.expose(alert_user); - function alert_user(message, is_error) { - const alerts_div = document.getElementById("user-alerts"); - alerts_div.classList.add("alert"); - if (is_error) { - alerts_div.classList.add("alert-danger"); - } else { - alerts_div.classList.add("alert-info"); - } - alerts_div.textContent = message; - } - - // this allows repeat upload of a file - // from: https://stackoverflow.com/a/12102992/3189 - function clear_file_value() { - this.value = null; - } - - function handle_categories_file() { - const file_handle = this.files[0]; - const reader = new FileReader(); - reader.onload = categories_file_loaded; - reader.readAsText(file_handle); - } - - function handle_selection_file() { - const file_handle = this.files[0]; - const reader = new FileReader(); - reader.onload = selection_file_loaded; - reader.readAsText(file_handle); - } - - function handle_g_sheet_name() { - eel.update_g_sheet_name(this.value); - } - -//////////////////////////////////////// -//Some functions for Advanced settings// -//////////////////////////////////////// - - function handle_respondents_tab_name() { - eel.update_respondents_tab_name(this.value); - } - - function handle_categories_tab_name() { - eel.update_categories_tab_name(this.value); - } - - function handle_gen_rem_tab() { - if (this.checked == true) { - eel.update_gen_rem_tab(this.value); - } else { - eel.update_gen_rem_tab("off"); - } - } - - function handle_number_selections() { - eel.update_number_selections(this.value); - } -////////////////////////////////////////// -//End of functions for Advanced settings// -////////////////////////////////////////// - - - - function handle_load_g_sheet_btn() { - eel.load_g_sheet(); - } - - eel.expose(enable_load_g_sheet_btn); - function enable_load_g_sheet_btn() { - const load_button = document.getElementById("load-g-sheet-btn"); - load_button.disabled = false; - } - - function categories_file_loaded(e) { - const file_contents = e.target.result; - eel.handle_category_contents(file_contents); - } - - function selection_file_loaded(e) { - const file_contents = e.target.result; - eel.handle_selection_contents(file_contents); + alerts_div.textContent = message; + } + + ////////////////////////////////////////// + // functions for CSV files only - calling from JS to Python + ////////////////////////////////////////// + + // this allows repeat upload of a file + // from: https://stackoverflow.com/a/12102992/3189 + function clear_file_value() { + this.value = null; + } + + function handle_csv_file_features() { + const file_handle = this.files[0]; + const reader = new FileReader(); + reader.onload = csv_file_features_loaded; + reader.readAsText(file_handle); + } + + function handle_csv_file_people() { + const file_handle = this.files[0]; + const reader = new FileReader(); + reader.onload = csv_file_people_loaded; + reader.readAsText(file_handle); + } + + function csv_file_features_loaded(e) { + const file_contents = e.target.result; + eel.handle_csv_file_features_content(file_contents); + } + + function csv_file_people_loaded(e) { + const file_contents = e.target.result; + eel.handle_csv_file_people_content(file_contents); + } + + function enable_download(download_link_id, file_contents, filename) { + let download_link = document.getElementById(download_link_id); + download_link.setAttribute('href', 'data:text/plain;charset=utf-8,' + encodeURIComponent(file_contents)); + download_link.setAttribute('download', filename); + download_link.classList.remove("disabled"); + } + + eel.expose(enable_csv_selected_download); + function enable_csv_selected_download(file_contents, filename) { + console.log("in csv_enable_selected_download"); + enable_download("csv-download-selected-btn", file_contents, filename); + } + + eel.expose(enable_csv_remaining_download); + function enable_csv_remaining_download(file_contents, filename) { + console.log("in csv_enable_remaining_download"); + enable_download("csv-download-remaining-btn", file_contents, filename); + } + + function handle_csv_panel_size() { + eel.update_csv_panel_size(this.value); + } + + function handle_csv_run_button() { + eel.csv_run_selection(); + } + + function handle_csv_run_test_button() { + eel.csv_run_test_selection(); + } + + ////////////////////////////////////////// + // functions for CSV files only - calling from Python to JS + ////////////////////////////////////////// + + eel.expose(update_csv_features_output_area); + function update_csv_features_output_area(output_html) { + const output_area = document.getElementById("csv-output-area-features-target-p"); + output_area.innerHTML = output_html; + } + + eel.expose(update_csv_selection_output_area); + function update_csv_selection_output_area(output_html) { + const output_area = document.getElementById("csv-output-area-selection-target-p"); + output_area.innerHTML = output_html; + } + + eel.expose(update_csv_selection_range); + function update_csv_selection_range(min_selection, max_selection) { + const selection_label = document.querySelector("label[for=csv-panel-size]"); + selection_label.textContent = "Step 3: Specify the number of people to select (" + + min_selection + "-" + max_selection + ")"; + const selection_input = document.getElementById("csv-panel-size"); + selection_input.setAttribute("min", min_selection); + selection_input.setAttribute("max", max_selection); + } + + eel.expose(enable_csv_selection_content); + function enable_csv_selection_content() { + var csv_file_people_input = document.getElementById("csv-file-people"); + csv_file_people_input.disabled = false; + } + + eel.expose(set_csv_panel_size); + function set_csv_panel_size(panel_size) { + var csv_panel_size_input = document.getElementById("csv-panel-size"); + csv_panel_size_input.value = panel_size; + } + + eel.expose(enable_csv_run_button); + function enable_csv_run_button() { + var csv_run_btn = document.getElementById('csv-run-btn'); + var csv_run_test_btn = document.getElementById('csv-run-test-btn'); + csv_run_btn.disabled = false; + csv_run_test_btn.disabled = false; + } + + eel.expose(disable_csv_run_button); + function disable_csv_run_button() { + var csv_run_btn = document.getElementById('csv-run-btn'); + var csv_run_test_btn = document.getElementById('csv-run-test-btn'); + csv_run_btn.disabled = true; + csv_run_test_btn.disabled = true; + } + + + ///////////////////////////////////////// + // functions for Google Spreadsheets only - calling from JS to Python + ///////////////////////////////////////// + + function handle_g_sheet_name() { + eel.update_g_sheet_name(this.value); + } + + function handle_respondents_tab_name() { + eel.update_respondents_tab_name(this.value); + } + + function handle_features_tab_name() { + eel.update_categories_tab_name(this.value); + } + + function handle_gen_rem_tab() { + if (this.checked == true) { + eel.update_gen_rem_tab(this.value); + } else { + eel.update_gen_rem_tab("off"); } - - eel.expose(update_categories_output_area); - function update_categories_output_area(output_html) { - const output_area = document.getElementById("output-area-categories-target-p"); - output_area.innerHTML = output_html; - } - - eel.expose(update_selection_range); - function update_selection_range(min_selection, max_selection) { - const selection_label = document.querySelector("label[for=selection-number]"); - selection_label.textContent = "Step 3: Specify the number of people to select (" + - min_selection + "-" + max_selection + ")"; - const selection_input = document.getElementById("selection-number"); - selection_input.setAttribute("min", min_selection); - selection_input.setAttribute("max", max_selection); - } - - eel.expose(update_selection_output_area); - function update_selection_output_area(output_html) { - const output_area = document.getElementById("output-area-selection-target-p"); - output_area.innerHTML = output_html; - } - - function handle_number_people() { - eel.update_number_people(this.value); - } - - eel.expose(update_selection_output_messages_area); - function update_selection_output_messages_area(output_html) { - const output_area = document.getElementById("output-area-selection-messages-target-p"); - output_area.innerHTML = output_html; - } - - function handle_run_button() { - eel.run_selection(); - } - - function handle_run_test_button() { - eel.run_test_selection(); - } - - eel.expose(enable_selection_content); - function enable_selection_content() { - const selection_content = document.getElementById("selection-file"); - selection_content.disabled = false; - } - - eel.expose(set_select_number_people); - function set_select_number_people(number_people) { - const select_number_people_input = document.getElementById("selection-number"); - select_number_people_input.value = number_people; - } - - eel.expose(enable_run_button); - function enable_run_button() { - const run_button = document.getElementById("run-btn"); - run_button.disabled = false; - const run_test_button = document.getElementById("run-test-btn"); - run_test_button.disabled = false; - } - - eel.expose(disable_run_button); - function disable_run_button() { - const run_button = document.getElementById("run-btn"); - run_button.disabled = true; - const run_test_button = document.getElementById("run-test-btn"); - run_test_button.disabled = true; - } - - function enable_download(download_link_id, file_contents, filename) { - let download_link = document.getElementById(download_link_id); - download_link.setAttribute('href', 'data:text/plain;charset=utf-8,' + encodeURIComponent(file_contents)); - download_link.setAttribute('download', filename); - download_link.classList.remove("disabled"); - } - - eel.expose(enable_selected_download); - function enable_selected_download(file_contents, filename) { - console.log("in enable_selected_download"); - enable_download("download-selected-btn", file_contents, filename); - } - - eel.expose(enable_remaining_download); - function enable_remaining_download(file_contents, filename) { - console.log("in enable_remaining_download"); - enable_download("download-remaining-btn", file_contents, filename); - } - - init_page(); + } + + function handle_load_g_sheet_btn() { + eel.load_g_sheet(); + } + + eel.expose(enable_load_g_sheet_btn); + function enable_load_g_sheet_btn() { + var load_g_sheet_btn = document.getElementById('load-g-sheet-btn'); + load_g_sheet_btn.disabled = false; + } + + function handle_g_sheet_number_selections() { + eel.update_number_selections(this.value); + } + + function handle_g_sheet_panel_size() { + eel.update_g_sheet_panel_size(this.value); + } + + function handle_g_sheet_run_button() { + eel.g_sheet_run_selection(); + } + + function handle_g_sheet_run_test_button() { + eel.g_sheet_run_test_selection(); + } + + ///////////////////////////////////////// + // functions for Google Spreadsheets only - calling from Python to JS + ///////////////////////////////////////// + + eel.expose(update_g_sheet_features_output_area); + function update_g_sheet_features_output_area(output_html) { + const output_area = document.getElementById("g-sheet-output-area-features-target-p"); + output_area.innerHTML = output_html; + } + + eel.expose(update_g_sheet_selection_range); + function update_g_sheet_selection_range(min_selection, max_selection) { + const selection_label = document.querySelector("label[for=g-sheet-panel-size]"); + selection_label.textContent = "Step 3: Specify the number of people to select (" + + min_selection + "-" + max_selection + ")"; + const selection_input = document.getElementById("g-sheet-panel-size"); + selection_input.setAttribute("min", min_selection); + selection_input.setAttribute("max", max_selection); + } + + eel.expose(update_g_sheet_selection_output_area); + function update_g_sheet_selection_output_area(output_html) { + const output_area = document.getElementById("g-sheet-output-area-selection-target-p"); + output_area.innerHTML = output_html; + } + + eel.expose(enable_g_sheet_selection_content); + function enable_g_sheet_selection_content() { + g_sheet_file_people_input.disabled = false; + } + + eel.expose(set_g_sheet_panel_size); + function set_g_sheet_panel_size(panel_size) { + var g_sheet_panel_size_input = document.getElementById("g-sheet-panel-size"); + g_sheet_panel_size_input.value = panel_size; + } + + eel.expose(enable_g_sheet_run_button); + function enable_g_sheet_run_button() { + var g_sheet_run_btn = document.getElementById('g-sheet-run-btn'); + var g_sheet_run_test_btn = document.getElementById('g-sheet-run-test-btn'); + g_sheet_run_btn.disabled = false; + g_sheet_run_test_btn.disabled = false; + } + + eel.expose(disable_g_sheet_run_button); + function disable_g_sheet_run_button() { + var g_sheet_run_btn = document.getElementById('g-sheet-run-btn'); + var g_sheet_run_test_btn = document.getElementById('g-sheet-run-test-btn'); + g_sheet_run_btn.disabled = true; + g_sheet_run_test_btn.disabled = true; + } + + //////////////////////////////////////// + //Some functions for the output area - shared by CSV and GSheets + //////////////////////////////////////// + + eel.expose(update_selection_output_messages_area); + function update_selection_output_messages_area(output_html) { + const output_area = document.getElementById("output-area-selection-messages-target-p"); + output_area.innerHTML = output_html; + } + + init_page(); }()); diff --git a/web/main.html b/web/main.html index f80f37c..e345d46 100644 --- a/web/main.html +++ b/web/main.html @@ -1,202 +1,234 @@ - + - - + + + + - -
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Sortition Foundation - Stratification & Selection

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- - - If you change this, then you must click "Load G-Sheet" afterwards. -
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- - - If this is checked then the remaining tab will be written to your sheet. If you change the check box, then you must click "Load G-Sheet" afterwards. -
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Sortition Foundation - Stratification & Selection

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Option A: CSV file input and output

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Category and people information:

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Number of categories: No input yet

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Set number of people and run selection

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Option B: Google Sheet input and output

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+ + + If you change this, then you must click "Load G-Sheet" afterwards. +
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+ + + If you change this, then you must click "Load G-Sheet" afterwards. +
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+ + + If this is checked then the remaining tab will be written to your sheet. If you change the check box, then you must click "Load G-Sheet" afterwards. +
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Category and people information:

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Set number of people and run selection

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- Show/hide detailed log + Show/hide detailed log
@@ -214,8 +246,7 @@

Detailed Log

- - + From b501ff34343ef0e904df6670cb9d7861026ed2cd Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Wed, 18 Jun 2025 17:02:47 +0100 Subject: [PATCH 02/26] gsheet version is working and it is now the default tab you see. Also - added gui_log Singleton to make it easier to put messages in gui - made names more consistent in HTML, JS and Python - cleaned up all the old code in this commit. --- pyproject.toml | 9 +- script.py | 574 ++++++++++++++++++++++--------------------------- web/js/main.js | 8 +- web/main.html | 16 +- 4 files changed, 272 insertions(+), 335 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e478fef..05798aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,12 @@ warn_unused_ignores = true warn_redundant_casts = true warn_unused_configs = true +# eel does not have type hints/stubs +[[tool.mypy.overrides]] +module = "eel.*" +ignore_missing_imports = true +ignore_errors = true + [tool.ruff] target-version = "py312" line-length = 120 @@ -91,7 +97,8 @@ select = [ ] ignore = [ # TODO: reinstate this - "B017", #assertRaises(Exception) + "B017", # assertRaises(Exception) + "BLE001", # don't catch Exception "C901", # too complex "FBT001", # positional boolean arg in function defn "PLR0912", # too many branches diff --git a/script.py b/script.py index 20285da..76d8a9d 100644 --- a/script.py +++ b/script.py @@ -1,20 +1,63 @@ -from ast import Str -from io import StringIO import platform import sys +from collections.abc import Iterable +from enum import Enum +from io import StringIO from pathlib import Path import eel import gspread from sortition_algorithms import Settings, adapters, core, features, people -# from stratification import ( -# PeopleAndCatsCSV, -# PeopleAndCatsGoogleSheet, -# ) - DEFAULT_SETTINGS_PATH = Path.home() / "sf_stratification_settings.toml" -DEFAULT_AUTH_JSON_PATH = Path.home() / "sf_stratification_settings.toml" +DEFAULT_AUTH_JSON_PATH = Path.home() / "secret_do_not_commit.json" + + +class LogType(Enum): + CSV_FEATURES = 1 + CSV_SELECTION = 2 + GSHEET_FEATURES = 3 + GSHEET_SELECTION = 4 + DETAILED_LOG = 5 + + +class GuiLog: + """Singleton class for sending messages to different divs""" + + def __init__(self) -> None: + self.lines: dict[LogType, list[str]] = {lt: [""] for lt in LogType} + + def reset(self, section: LogType, new_message: str = "") -> None: + self.lines[section] = [new_message] + self.update_area(section) + + def add_lines(self, section: LogType, lines: Iterable[str]) -> None: + self.lines[section] += lines + self.update_area(section) + + def add_line(self, section: LogType, line: str) -> None: + self.lines[section].append(line) + self.update_area(section) + + def update_area(self, section: LogType) -> None: + update_str = "
".join(line for line in self.lines[section] if line.strip()) + if section == LogType.CSV_FEATURES: + eel.update_csv_features_output_area(update_str) + elif section == LogType.CSV_SELECTION: + eel.update_csv_selection_output_area(update_str) + elif section == LogType.GSHEET_FEATURES: + eel.update_g_sheet_features_output_area(update_str) + elif section == LogType.GSHEET_SELECTION: + eel.update_g_sheet_selection_output_area(update_str) + elif section == LogType.DETAILED_LOG: + eel.update_detailed_log_messages_area(update_str) + + def update_all_areas(self) -> None: + for log_type in LogType: + self.update_area(log_type) + + +gui_log = GuiLog() class SettingsHolder: @@ -35,12 +78,17 @@ def init_settings(self) -> str: if self._settings is None: try: self._settings, message = Settings.load_from_file( - settings_file_path=DEFAULT_SETTINGS_PATH + settings_file_path=DEFAULT_SETTINGS_PATH, ) except Exception as error: return f"Error reading in settings file: {error}" return message + def init_settings_log(self, section: LogType) -> None: + message = self.init_settings() + if message: + gui_log.add_line(section, message) + def loaded(self) -> bool: return self._settings is not None @@ -57,24 +105,37 @@ def __init__(self): self.people_contents: str = "" self.panel_size: int = 0 + def update_panel_size(self, panel_size: str) -> None: + if panel_size == "": + self.panel_size = 1 + else: + self.panel_size = int(panel_size.strip()) + self.update_run_button() + + def update_run_button(self): + if self.features and self.people and self.panel_size > 0: + eel.enable_csv_run_button() + else: + eel.disable_csv_run_button() + if self.panel_size <= 0: + eel.set_csv_panel_size("") + def add_feature_content(self, file_contents: str): - all_msg: list[str] = [] + gui_log.reset(LogType.CSV_FEATURES) if not file_contents: - all_msg.append("No file contents - was the file empty?") - eel.update_csv_features_output_area("
".join(all_msg)) + gui_log.add_line( + LogType.CSV_FEATURES, + "No file contents - was the file empty?", + ) return - message = settings_holder.init_settings() - if message: - all_msg.append(message) + settings_holder.init_settings_log(LogType.CSV_FEATURES) if not settings_holder.loaded(): - eel.update_csv_features_output_area("
".join(all_msg)) return try: self.features, msgs = self.adapter.load_features_from_str(file_contents) - all_msg += msgs + gui_log.add_lines(LogType.CSV_FEATURES, msgs) except Exception as error: - all_msg.append(f"Failed to load features: {error}") - eel.update_csv_features_output_area("
".join(all_msg)) + gui_log.add_line(LogType.CSV_FEATURES, f"Failed to load features: {error}") if not self.features: return eel.enable_csv_selection_content() @@ -89,8 +150,8 @@ def add_feature_content(self, file_contents: str): if self.people: self.add_people_content(self.people_contents) - def add_people_content(self, file_contents: str): - all_msg: list[str] = [] + def add_people_content(self, file_contents: str) -> None: + gui_log.reset(LogType.CSV_SELECTION) assert self.features is not None try: self.people, msgs = self.adapter.load_people_from_str( @@ -100,31 +161,19 @@ def add_people_content(self, file_contents: str): ) # now we've done a successful load, cache the results self.people_contents = file_contents - all_msg += msgs + gui_log.add_lines(LogType.CSV_SELECTION, msgs) + gui_log.add_line( + LogType.CSV_SELECTION, + f"Loaded {self.people.count} people.", + ) except Exception as error: - all_msg.append(f"Failed to load people: {error}") - eel.update_csv_selection_output_area("
".join(all_msg)) + gui_log.add_line(LogType.CSV_SELECTION, f"Failed to load people: {error}") self.update_run_button() - def update_panel_size(self, panel_size: str) -> None: - if panel_size == "": - self.panel_size = 1 - else: - self.panel_size = int(panel_size.strip()) - - def update_run_button(self): - if self.features and self.people and self.panel_size > 0: - eel.enable_csv_run_button() - else: - eel.disable_csv_run_button() - if self.panel_size <= 0: - eel.set_csv_panel_size("") - - def run_selection(self, test_selection: bool): - all_msg: list[str] = [] + def run_selection(self, test_selection: bool) -> None: assert self.people is not None and self.features is not None # they may have hit this button again, so clear the output area so it's more obvious - eel.update_selection_output_messages_area("Selecting... please wait...
") + gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") success, people_selected, msgs = core.run_stratification( self.features, self.people, @@ -132,9 +181,12 @@ def run_selection(self, test_selection: bool): settings_holder.settings, test_selection=test_selection, ) - all_msg += msgs + gui_log.add_lines(LogType.DETAILED_LOG, msgs) selected_rows, remaining_rows, _ = core.selected_remaining_tables( - self.people, people_selected[0], self.features, settings_holder.settings + self.people, + people_selected[0], + self.features, + settings_holder.settings, ) if success: self.adapter.selected_file = StringIO() @@ -148,56 +200,142 @@ def run_selection(self, test_selection: bool): self.adapter.remaining_file.getvalue(), "remaining.csv", ) - # print output_lines to the App: - eel.update_selection_output_messages_area("
".join(all_msg)) class GSheetHandler: clear_message = "Number of features: You must (re)load sheet..." + original_selected_tab_name = "Original Selected - output - " + remaining_tab_name = "Remaining - output - " def __init__(self): self.adapter = adapters.GSheetAdapter(DEFAULT_AUTH_JSON_PATH) self.features: features.FeatureCollection | None = None self.people: people.People | None = None - self.panel_size: int = 0 - - def _clear_messages(self, normal_message: str = clear_message): - eel.update_g_sheet_features_output_area(normal_message) - eel.update_g_sheet_selection_output_area(normal_message) - eel.update_selection_output_messages_area("") + self.g_sheet_name = "" + self.features_tab_name = "Categories" + self.people_tab_name = "Respondents" + self.gen_rem_tab = "on" + self.number_selections = 1 # How many panels to create + self.panel_size = 0 # Number of people in each panel + + def _clear_messages(self, normal_message: str = clear_message) -> None: + gui_log.reset(LogType.GSHEET_FEATURES, normal_message) + gui_log.reset(LogType.GSHEET_SELECTION, normal_message) + gui_log.reset(LogType.DETAILED_LOG) eel.set_g_sheet_panel_size("") - def add_feature_content(self, g_sheet_name: str, feature_tab_name: str): - all_msg: list[str] = [] - message = settings_holder.init_settings() - if message: - all_msg.append(message) + # called from g-sheet input + def update_g_sheet_name(self, g_sheet_name_input) -> None: + self._clear_messages() + self.g_sheet_name = g_sheet_name_input + if self.g_sheet_name != "": + eel.enable_load_g_sheet_btn() + + def update_panel_size(self, panel_size: str) -> None: + if panel_size == "": + self.panel_size = 1 + else: + self.panel_size = int(panel_size.strip()) + self.update_run_button() + + def update_run_button(self) -> None: + if self.features and self.people and self.panel_size > 0: + eel.enable_g_sheet_run_button() + else: + eel.disable_g_sheet_run_button() + if self.panel_size <= 0: + eel.set_g_sheet_panel_size("") + + def update_people_tab_name(self, people_tab_name_input: str) -> None: + self._clear_messages() + self.people_tab_name = people_tab_name_input + + def update_features_tab_name(self, features_tab_name_input: str) -> None: + self._clear_messages() + self.features_tab_name = features_tab_name_input + + def update_gen_rem_tab(self, gen_rem_tab_input: str) -> None: + self.gen_rem_tab = gen_rem_tab_input + # never generate a remaining tab if doing a multiple selection + if self.number_selections > 1: + self.gen_rem_tab = "off" + + def update_number_selections(self, number_selections_input: str) -> None: + self._clear_messages() + self.number_selections = 1 if number_selections_input == "" else int(number_selections_input) + # never generate a remaining tab if doing a multiple selection + # but turn it on if = 1 (this could be wrong if the person wants it off!) + # if this has changed back to 1... + self.gen_rem_tab = "off" if self.number_selections > 1 else "on" + + # do features and people at same time... + def load_g_sheet(self) -> None: + # this can happen if they enter something and then delete it... + if self.g_sheet_name == "": + self._clear_messages("Please enter a spreadsheet name...") + return + self._clear_messages("Requesting data from sheet...") + settings_holder.init_settings_log(LogType.GSHEET_FEATURES) if not settings_holder.loaded(): - eel.update_g_sheet_features_output_area("
".join(all_msg)) return + try: + self.adapter.g_sheet_name = self.g_sheet_name + if self.number_selections > 1: + gui_log.add_line( + LogType.GSHEET_SELECTION, + f"WARNING: You've asked for {self.number_selections} selections. " + f"You cannot use the Produce a Test Panel button if you want more " + f"than 1 selection and no Remaining tab will be created.", + ) + self.add_feature_content(self.g_sheet_name, self.features_tab_name) + self.add_people_content(self.people_tab_name) + self.update_run_button() + eel.enable_load_g_sheet_btn() + except Exception as error: + gui_log.add_line( + LogType.GSHEET_FEATURES, + f"Please wait a couple of seconds while gsheet updates. " + f"After waiting you may need to reload sheet. Current error is: {error}", + ) + + def add_feature_content(self, g_sheet_name: str, features_tab_name: str) -> None: try: self.features, msgs = self.adapter.load_features( - g_sheet_name, feature_tab_name + g_sheet_name, + features_tab_name, ) - all_msg += msgs + gui_log.add_lines(LogType.GSHEET_FEATURES, msgs) except gspread.exceptions.APIError as error: - all_msg.append( + gui_log.add_line( + LogType.GSHEET_FEATURES, f"API error causing delay. Please wait a couple of seconds while gsheet updates. " f"After waiting you may need to reload sheet. " f"For the record, the API error is {error}", ) except Exception as error: - all_msg.append(f"Failed to load features: {error}") + gui_log.add_line( + LogType.GSHEET_FEATURES, + f"Failed to load features: {error}", + ) if not self.features: - all_msg.append("Failed to load features") - eel.update_g_sheet_features_output_area("
".join(all_msg)) - if self.features: - eel.update_g_sheet_selection_range( - self.features.minimum_selection(), self.features.maximum_selection() + gui_log.add_line( + LogType.GSHEET_FEATURES, + "Failed to load features", ) + return + eel.update_g_sheet_selection_range( + self.features.minimum_selection(), + self.features.maximum_selection(), + ) + min_size = self.features.minimum_selection() + max_size = self.features.maximum_selection() + eel.update_g_sheet_selection_range(min_size, max_size) + # if these are the same just set the value! + if min_size == max_size and min_size > 0: + eel.set_g_sheet_panel_size(str(min_size)) + self.panel_size = min_size - def add_people_content(self, people_tab_name: str): - all_msg: list[str] = [] + def add_people_content(self, people_tab_name: str) -> None: assert self.features is not None try: self.people, msgs = self.adapter.load_people( @@ -205,254 +343,49 @@ def add_people_content(self, people_tab_name: str): settings_holder.settings, self.features, ) - all_msg += msgs + gui_log.add_lines(LogType.GSHEET_SELECTION, msgs) except Exception as error: - all_msg.append(f"Failed to load people: {error}") - if not self.people: - all_msg.append("Failed to load people") - eel.update_g_sheet_selection_output_area("
".join(all_msg)) - - """ - success, people_selected, msgs = core.run_stratification(features, people, number_wanted, settings_obj) - echo_all(msgs) - if not success: - raise click.ClickException("Selection not successful, no files written.") - - selected_rows, remaining_rows, _ = core.selected_remaining_tables( - people, people_selected[0], features, settings_obj - ) - adapter.selected_tab_name = selected_tab_name - adapter.remaining_tab_name = remaining_tab_name - adapter.output_selected_remaining(selected_rows, remaining_rows, settings_obj) - """ - - -# to be honest this is no longer a file contents class - it's a GUI interface handler -# all the "content" has been moved into the PeopleAndCats class and its children -class FileContents: - def __init__(self): - self.PeopleAndCats = None - # All of these below are only used in the Google Sheet version - self.g_sheet_name = "" - self.respondents_tab_name = ( - "Respondents" # Instance attribute for Advanced Settings - ) - self.category_tab_name = ( - "Categories" # Instance attribute for Advanced Settings - ) - self.gen_rem_tab = "on" # Instance attribute for Advanced Settings - self.number_selections = 1 # Instance attribute for Advanced Settings (then later stored in PeopleAndCats) - - def _add_category_content(self, input_content): - min_selection = 0 - max_selection = 0 - all_msg: list[str] = [] - try: - message = self._init_settings() - if message != "": - all_msg.append(message) - # we want to catch and report unexpected exceptions here - except Exception as error: # noqa: BLE001 - self.PeopleAndCats.category_content_loaded = False - all_msg.append(f"Error reading in settings file: {error}") - try: - msg2, min_selection, max_selection = self.PeopleAndCats.load_cats( - input_content, - self.category_tab_name, - self._settings, + gui_log.add_line( + LogType.GSHEET_SELECTION, + f"Failed to load people: {error}", ) - all_msg += msg2 - except gspread.exceptions.APIError as error: - all_msg.append( - f"API error causing delay. Please wait a couple of seconds while gsheet updates. " - f"After waiting you may need to reload sheet. " - f"For the record, the API error is {error}", - ) - # we want to catch and report unexpected exceptions here - except Exception as error: # noqa: BLE001 - self.PeopleAndCats.category_content_loaded = False - all_msg.append(f"Error reading in categories file: {error}") - print(all_msg) # noqa: T201 - eel.update_categories_output_area("
".join(all_msg)) - self.update_selection_content() - eel.update_selection_range(min_selection, max_selection) - # if these are the same just set the value! - if min_selection == max_selection and min_selection > 0: - eel.set_select_number_people(str(min_selection)) - self.PeopleAndCats.number_people_to_select = int(min_selection) - # if we've already uploaded people, we need to re-process them with the - # (possibly) new categories settings - if self.PeopleAndCats.people_content_loaded: - dummy_file_contents = "" - all_msg = self.PeopleAndCats.load_people( - self.settings, - dummy_file_contents, - self.respondents_tab_name, - self.category_tab_name, - self.gen_rem_tab, + if not self.people: + gui_log.add_line( + LogType.GSHEET_SELECTION, + "Failed to load people", ) - eel.update_selection_output_area("
".join(all_msg)) - self.update_run_button() - - # called from CSV input - def add_category_content(self, file_contents): - if file_contents != "": - self.PeopleAndCats = PeopleAndCatsCSV() - self._add_category_content(file_contents) - - def _clear_messages( - self, normal_message="Number of categories: You must (re)load sheet..." - ): - eel.update_categories_output_area(normal_message) - eel.update_selection_output_area(normal_message) - eel.update_selection_output_messages_area("") - eel.set_select_number_people("") - - # called from g-sheet input - def update_g_sheet_name(self, g_sheet_name_input): - self._clear_messages() - self.g_sheet_name = g_sheet_name_input - if self.g_sheet_name != "": - eel.enable_load_g_sheet_btn() - - # user has hit the (re)load button - # do cats and people at same time... - def load_g_sheet(self): - # this can happen if they enter something and then delete it... - if self.g_sheet_name == "": - self._clear_messages("Please enter a spreadsheet name...") - else: - self._clear_messages("Requesting data from sheet...") - try: - self.PeopleAndCats = PeopleAndCatsGoogleSheet() - # tell this object what this currently is... - self.PeopleAndCats.number_selections = self.number_selections - all_msg: list[str] = [] - if self.number_selections > 1: - all_msg.append( - f"WARNING: You've asked for {self.number_selections} selections. " - f"You cannot use the Produce a Test Panel button if you want more " - f"than 1 selection and no Remaining tab will be created.", - ) - self._add_category_content(self.g_sheet_name) - dummy_file_contents = "" - all_msg += self.PeopleAndCats.load_people( - self.settings, - dummy_file_contents, - self.respondents_tab_name, - self.category_tab_name, - self.gen_rem_tab, - ) - eel.update_selection_output_area("
".join(all_msg)) - self.update_run_button() - eel.enable_load_g_sheet_btn() - except Exception as error: # noqa: BLE001 - eel.update_categories_output_area( - f"Please wait a couple of seconds while gsheet updates. " - f"After waiting you may need to reload sheet. Current error is: {error}", - ) - - ############################################################################### - ### The next functions read in extra instance variables for advanced settings### - ############################################################################### - def update_respondents_tab_name(self, respondents_tab_name_input): - self._clear_messages() - self.respondents_tab_name = respondents_tab_name_input - - def update_categories_tab_name(self, categories_tab_name_input): - self._clear_messages() - self.category_tab_name = categories_tab_name_input - - def update_gen_rem_tab(self, gen_rem_tab_input): - self.gen_rem_tab = gen_rem_tab_input - # never generate a remaining tab if doing a multiple selection - if self.number_selections > 1: - self.gen_rem_tab = "off" - - def update_number_selections(self, number_selections_input): - self._clear_messages() - if number_selections_input == "": - self.number_selections = 1 - else: - self.number_selections = int(number_selections_input) - # never generate a remaining tab if doing a multiple selection - if self.number_selections > 1: - self.gen_rem_tab = "off" - # but turn it on if = 1 (this could be wrong if the person wants it off!) - # if this has changed back to 1... - else: - self.gen_rem_tab = "on" - - ######################################## - ###End of Advanced Settings variables### - ######################################## - ### From here 'selection' means people... - def add_selection_content(self, file_contents): - self._init_settings() - # this calls update internally - msg = self.PeopleAndCats.load_people( - self.settings, - file_contents, - self.respondents_tab_name, - self.category_tab_name, - self.gen_rem_tab, + def run_selection(self, test_selection: bool) -> None: + assert self.features is not None and self.people is not None + gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") + success, people_selected, msgs = core.run_stratification( + self.features, + self.people, + self.panel_size, + settings_holder.settings, + test_selection=test_selection, + number_selections=self.number_selections, ) - eel.update_selection_output_area("
".join(msg)) - self.update_run_button() - - # 'selection' means people... - def update_selection_content(self): - if self.PeopleAndCats.category_content_loaded: - eel.enable_selection_content() - - def update_run_button(self): - if ( - self.PeopleAndCats.category_content_loaded - and self.PeopleAndCats.people_content_loaded - and self.PeopleAndCats.number_people_to_select > 0 - ): - eel.enable_run_button() - else: - eel.disable_run_button() - if self.PeopleAndCats.number_people_to_select <= 0: - eel.set_select_number_people("") - - def update_number_people(self, number_people): - if number_people == "": - self.PeopleAndCats.number_people_to_select = 0 - else: - self.PeopleAndCats.number_people_to_select = int(number_people) - self.update_run_button() + gui_log.add_lines(LogType.DETAILED_LOG, msgs) + if not success: + gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet.") - def run_selection(self, test_selection): - self._init_settings() - # they may have hit this button again, so clear the output area so it's more obvious - eel.update_selection_output_messages_area("Selecting... please wait...
") - success, output_lines = self.PeopleAndCats.people_cats_run_stratification( - self.settings, - test_selection, + selected_rows, remaining_rows, _ = core.selected_remaining_tables( + self.people, + people_selected[0], + self.features, + settings_holder.settings, + ) + self.adapter.selected_tab_name = self.original_selected_tab_name + self.adapter.remaining_tab_name = self.remaining_tab_name + self.adapter.output_selected_remaining( + selected_rows, + remaining_rows, + settings_holder.settings, ) - if ( - success - and self.PeopleAndCats.get_selected_file() is not None - and self.PeopleAndCats.get_remaining_file() is not None - ): - eel.enable_selected_download( - self.PeopleAndCats.get_selected_file().getvalue(), - "selected.csv", - ) - eel.enable_remaining_download( - self.PeopleAndCats.get_remaining_file().getvalue(), - "remaining.csv", - ) - # print output_lines to the App: - eel.update_selection_output_messages_area("
".join(output_lines)) -# global to hold contents uploaded from JS -# not really - now just a GUI event handler more or less... -csv_files = FileContents() +# globals - GUI event handlers csv_handler = CSVHandler() g_sheet_handler = GSheetHandler() @@ -507,23 +440,23 @@ def load_g_sheet(): ###Start Advanced Settings### ############################# @eel.expose -def update_respondents_tab_name(respondents_tab_name): - g_sheet_handler.update_respondents_tab_name(respondents_tab_name) +def update_respondents_tab_name(people_tab_name): + g_sheet_handler.update_people_tab_name(people_tab_name) @eel.expose def reload_respondents_tab(): - g_sheet_handler.update_respondents_tab_name("") + g_sheet_handler.update_people_tab_name("") @eel.expose -def update_categories_tab_name(categories_tab_name): - g_sheet_handler.update_categories_tab_name(categories_tab_name) +def update_features_tab_name(features_tab_name): + g_sheet_handler.update_features_tab_name(features_tab_name) @eel.expose -def reload_categories_tab(): - g_sheet_handler.update_categories_tab_name("") +def reload_features_tab(): + g_sheet_handler.update_features_tab_name("") @eel.expose @@ -552,17 +485,17 @@ def reload_number_selections(): @eel.expose -def update_number_people(number_people): - g_sheet_handler.update_number_people(number_people) +def update_g_sheet_panel_size(panel_size): + g_sheet_handler.update_panel_size(panel_size) @eel.expose -def run_selection(): +def g_sheet_run_selection(): g_sheet_handler.run_selection(test_selection=False) @eel.expose -def run_test_selection(): +def g_sheet_run_test_selection(): g_sheet_handler.run_selection(test_selection=True) @@ -576,10 +509,7 @@ def main(): eel.start("main.html", size=default_size) except OSError: # on Windows 10 try Edge if Chrome not available - if ( - sys.platform in ("win32", "win64") - and int(platform.release()) >= MIN_WINDOWS_VERSION - ): + if sys.platform in ("win32", "win64") and int(platform.release()) >= MIN_WINDOWS_VERSION: eel.start("main.html", mode="edge", size=default_size) else: raise diff --git a/web/js/main.js b/web/js/main.js index c1f0488..567a75f 100644 --- a/web/js/main.js +++ b/web/js/main.js @@ -182,7 +182,7 @@ $(function () { } function handle_features_tab_name() { - eel.update_categories_tab_name(this.value); + eel.update_features_tab_name(this.value); } function handle_gen_rem_tab() { @@ -276,9 +276,9 @@ $(function () { //Some functions for the output area - shared by CSV and GSheets //////////////////////////////////////// - eel.expose(update_selection_output_messages_area); - function update_selection_output_messages_area(output_html) { - const output_area = document.getElementById("output-area-selection-messages-target-p"); + eel.expose(update_detailed_log_messages_area); + function update_detailed_log_messages_area(output_html) { + const output_area = document.getElementById("output-area-detailed-log-target-p"); output_area.innerHTML = output_html; } diff --git a/web/main.html b/web/main.html index e345d46..aa31a07 100644 --- a/web/main.html +++ b/web/main.html @@ -76,17 +76,17 @@

Sortition Foundation - Stratification & Selection

-

+

-
+

@@ -138,7 +138,7 @@

After selection... download output:

-
+
@@ -166,7 +166,7 @@

Option B: Google Sheet input and output

- + If you change this, then you must click "Load G-Sheet" afterwards.
@@ -233,8 +233,8 @@

Set number of people and run selection

Detailed Log

-
-

+
+

From e3b91880339edbccc7f4a23166c4bd8319b69cf7 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Wed, 18 Jun 2025 21:02:19 +0100 Subject: [PATCH 03/26] upgrade dependencies --- pyproject.toml | 6 +- uv.lock | 500 +++++++++++++++++++++++++++---------------------- 2 files changed, 274 insertions(+), 232 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 05798aa..3e171d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,10 +11,10 @@ readme = "README.md" requires-python = ">=3.11,<3.13" dependencies = [ "Eel==0.17.0", - "oauth2client==4.1.3", - "pyinstaller==6.11.1", + "oauth2client<5", + "pyinstaller<7", "sortition-algorithms>=0.9.1", - "toml==0.10.2", + "toml", ] [dependency-groups] diff --git a/uv.lock b/uv.lock index 8998b32..cd784da 100644 --- a/uv.lock +++ b/uv.lock @@ -22,11 +22,11 @@ wheels = [ [[package]] name = "bottle" -version = "0.13.2" +version = "0.13.4" source = { registry = "https://pypi.org/simple" } -sdist = { url = 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Build Windows Executable # build-windows-exe: - name: 'script.exe creation using python 3.11 on Windows' - runs-on: 'windows-latest' + name: "script.exe creation using python 3.11 on Windows" + runs-on: "windows-latest" steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Install uv - uses: astral-sh/setup-uv@v5 + uses: astral-sh/setup-uv@v6 with: - version: "0.6.2" - python-version: '3.11' + version: "latest" + python-version: "3.11" enable-cache: true cache-dependency-glob: "uv.lock" - name: "Install dependencies" @@ -49,15 +49,15 @@ jobs: # Note that this produces an ARM based build, so won't work on older # intel based Macs. build-macos-executable: - name: 'script.app creation using python 3.11 on MacOS' - runs-on: 'macos-latest' + name: "script.app creation using python 3.11 on MacOS" + runs-on: "macos-latest" steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Install uv - uses: astral-sh/setup-uv@v5 + uses: astral-sh/setup-uv@v6 with: - version: "0.6.2" - python-version: '3.11' + version: "latest" + python-version: "3.11" enable-cache: true cache-dependency-glob: "uv.lock" - name: "Install dependencies" @@ -84,15 +84,15 @@ jobs: # 3. Build Linux Executable # build-linux-executable: - name: 'executable creation using python 3.11 on Linux' - runs-on: 'ubuntu-24.04' + name: "executable creation using python 3.11 on Linux" + runs-on: "ubuntu-24.04" steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 - name: Install uv - uses: astral-sh/setup-uv@v5 + uses: astral-sh/setup-uv@v6 with: - version: "0.6.2" - python-version: '3.11' + version: "latest" + python-version: "3.11" enable-cache: true cache-dependency-glob: "uv.lock" - name: "Install dependencies" From 68e9ac82ecd64f5d544a270e676bf7e91df6df3a Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 1 Jul 2025 10:43:28 +0100 Subject: [PATCH 05/26] Change macos build to use onedir argument As suggested by a deprecation warning and in this github issue: https://github.com/pyinstaller/pyinstaller/issues/3820 --- .github/workflows/build-executables.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build-executables.yml b/.github/workflows/build-executables.yml index ecb95d0..6ab6a7d 100644 --- a/.github/workflows/build-executables.yml +++ b/.github/workflows/build-executables.yml @@ -67,8 +67,10 @@ jobs: uv sync - name: "Build MacOS package" run: | - uv run python -m eel script.py web -n strat-select-macos --additional-hooks-dir=./pyinstallerhooks/ --onefile --windowed + uv run python -m eel script.py web -n strat-select-macos --additional-hooks-dir=./pyinstallerhooks/ --onedir --windowed mkdir -p target/release + ls -l dist + ls -l dist/strat-select-macos mv dist/strat-select-macos target/release cd dist && zip -r ../target/release/strat-select-macos.app.zip strat-select-macos.app ls -l ../target/release/ From 03b4fca03883f7ae6143b45c60924ba9de8df78f Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 1 Jul 2025 10:52:35 +0100 Subject: [PATCH 06/26] Fix macos app generation to only use x86_64 as python-mip 1.15 does not support ARM. Added comment to allow us to reconsider once 1.16 is formally released. --- .github/workflows/build-executables.yml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build-executables.yml b/.github/workflows/build-executables.yml index 6ab6a7d..fc9c7b3 100644 --- a/.github/workflows/build-executables.yml +++ b/.github/workflows/build-executables.yml @@ -65,12 +65,15 @@ jobs: uv run python -VV uv run python -m site uv sync + # notes: + # --onedir rather than --onefile is required for app bundle + # --target-arch=x86_64 is required for python-mip 1.15.0 - revisit once 1.16.0 is properly released + # See https://groups.google.com/g/python-mip/c/0R2NC_URD6M - name: "Build MacOS package" run: | - uv run python -m eel script.py web -n strat-select-macos --additional-hooks-dir=./pyinstallerhooks/ --onedir --windowed + uv run python -m eel script.py web -n strat-select-macos --additional-hooks-dir=./pyinstallerhooks/ --onedir --windowed --target-arch=x86_64 mkdir -p target/release - ls -l dist - ls -l dist/strat-select-macos + ls -l dist/strat-select-macos.app mv dist/strat-select-macos target/release cd dist && zip -r ../target/release/strat-select-macos.app.zip strat-select-macos.app ls -l ../target/release/ From dc92f7427eed1646bb5d94b4dcb316d7b088d231 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 1 Jul 2025 10:57:39 +0100 Subject: [PATCH 07/26] Change to older macos for building x86_64 app bundle --- .github/workflows/build-executables.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build-executables.yml b/.github/workflows/build-executables.yml index fc9c7b3..b9e06cc 100644 --- a/.github/workflows/build-executables.yml +++ b/.github/workflows/build-executables.yml @@ -50,7 +50,8 @@ jobs: # intel based Macs. build-macos-executable: name: "script.app creation using python 3.11 on MacOS" - runs-on: "macos-latest" + # we use 13 to build x86_64 apps + runs-on: "macos-13" steps: - uses: actions/checkout@v4 - name: Install uv From 1c8f52f7fa9dc88337526460df24c4dbf27d7fc3 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 9 Sep 2025 16:04:03 +0100 Subject: [PATCH 08/26] Fix bug with changing spreadsheet Previously there was a bug in sortition-algorithms that meant changing the `g_sheet_name` in the GSheetAdapter did not actually reset the spreadsheet. This commit fixes it. - bring in fixed version of sortition-algorithms library - call the new method `set_g_sheet_name()` --- pyproject.toml | 2 +- script.py | 11 +- uv.lock | 473 ++++++++++++++++++++++++------------------------- 3 files changed, 240 insertions(+), 246 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3e171d9..8b391ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "Eel==0.17.0", "oauth2client<5", "pyinstaller<7", - "sortition-algorithms>=0.9.1", + "sortition-algorithms>=0.9.3", "toml", ] diff --git a/script.py b/script.py index 76d8a9d..8f73aea 100644 --- a/script.py +++ b/script.py @@ -279,7 +279,6 @@ def load_g_sheet(self) -> None: if not settings_holder.loaded(): return try: - self.adapter.g_sheet_name = self.g_sheet_name if self.number_selections > 1: gui_log.add_line( LogType.GSHEET_SELECTION, @@ -287,7 +286,8 @@ def load_g_sheet(self) -> None: f"You cannot use the Produce a Test Panel button if you want more " f"than 1 selection and no Remaining tab will be created.", ) - self.add_feature_content(self.g_sheet_name, self.features_tab_name) + self.adapter.set_g_sheet_name(self.g_sheet_name) + self.add_feature_content(self.features_tab_name) self.add_people_content(self.people_tab_name) self.update_run_button() eel.enable_load_g_sheet_btn() @@ -298,12 +298,9 @@ def load_g_sheet(self) -> None: f"After waiting you may need to reload sheet. 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"2025-07-22T07:03:59.9Z" }, ] [[package]] From e7f863c159f0ec8ba9ad246d5a4cc3d30018737e Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Tue, 9 Sep 2025 18:34:28 +0100 Subject: [PATCH 09/26] fix some api calls following upgrade to sortition-algorithms library --- script.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/script.py b/script.py index 8f73aea..9223709 100644 --- a/script.py +++ b/script.py @@ -139,8 +139,8 @@ def add_feature_content(self, file_contents: str): if not self.features: return eel.enable_csv_selection_content() - min_size = self.features.minimum_selection() - max_size = self.features.maximum_selection() + min_size = features.minimum_selection(self.features) + max_size = features.maximum_selection(self.features) eel.update_csv_selection_range(min_size, max_size) # if these are the same just set the value! if min_size == max_size and min_size > 0: @@ -321,11 +321,11 @@ def add_feature_content(self, features_tab_name: str) -> None: ) return eel.update_g_sheet_selection_range( - self.features.minimum_selection(), - self.features.maximum_selection(), + features.minimum_selection(self.features), + features.maximum_selection(self.features), ) - min_size = self.features.minimum_selection() - max_size = self.features.maximum_selection() + min_size = features.minimum_selection(self.features) + max_size = features.maximum_selection(self.features) eel.update_g_sheet_selection_range(min_size, max_size) # if these are the same just set the value! if min_size == max_size and min_size > 0: From f0f5b7704b9fe7545c81fdb7928da585b3674f45 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Sun, 21 Sep 2025 16:14:57 +0100 Subject: [PATCH 10/26] update to sortition-algorithms 0.10.1 With a few API changes - gen_rem_tab is now `bool`, instead of the strings "on" or "off" - we get a `RunReport` object back from a few calls and then use the method `report.as_html()` to get the HTML version of the report --- pyproject.toml | 2 +- script.py | 43 ++++++++++++++++++++++--------------------- uv.lock | 18 ++++++++++++++---- web/js/main.js | 4 ++-- 4 files changed, 39 insertions(+), 28 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 8b391ca..eab541a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "Eel==0.17.0", "oauth2client<5", "pyinstaller<7", - "sortition-algorithms>=0.9.3", + "sortition-algorithms>=0.10.1", "toml", ] diff --git a/script.py b/script.py index 9223709..aba6baf 100644 --- a/script.py +++ b/script.py @@ -74,15 +74,15 @@ def init_settings(self) -> str: """ Call from lots of places to report the error early """ - message = "" if self._settings is None: try: - self._settings, message = Settings.load_from_file( + self._settings, report = Settings.load_from_file( settings_file_path=DEFAULT_SETTINGS_PATH, ) + return report.as_html() except Exception as error: return f"Error reading in settings file: {error}" - return message + return "" def init_settings_log(self, section: LogType) -> None: message = self.init_settings() @@ -132,8 +132,8 @@ def add_feature_content(self, file_contents: str): if not settings_holder.loaded(): return try: - self.features, msgs = self.adapter.load_features_from_str(file_contents) - gui_log.add_lines(LogType.CSV_FEATURES, msgs) + self.features, report = self.adapter.load_features_from_str(file_contents) + gui_log.add_line(LogType.CSV_FEATURES, report.as_html()) except Exception as error: gui_log.add_line(LogType.CSV_FEATURES, f"Failed to load features: {error}") if not self.features: @@ -154,14 +154,14 @@ def add_people_content(self, file_contents: str) -> None: gui_log.reset(LogType.CSV_SELECTION) assert self.features is not None try: - self.people, msgs = self.adapter.load_people_from_str( + self.people, report = self.adapter.load_people_from_str( file_contents, settings_holder.settings, self.features, ) # now we've done a successful load, cache the results self.people_contents = file_contents - gui_log.add_lines(LogType.CSV_SELECTION, msgs) + gui_log.add_line(LogType.CSV_SELECTION, report.as_html()) gui_log.add_line( LogType.CSV_SELECTION, f"Loaded {self.people.count} people.", @@ -174,14 +174,14 @@ def run_selection(self, test_selection: bool) -> None: assert self.people is not None and self.features is not None # they may have hit this button again, so clear the output area so it's more obvious gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") - success, people_selected, msgs = core.run_stratification( + success, people_selected, report = core.run_stratification( self.features, self.people, self.panel_size, settings_holder.settings, test_selection=test_selection, ) - gui_log.add_lines(LogType.DETAILED_LOG, msgs) + gui_log.add_lines(LogType.DETAILED_LOG, report.as_html()) selected_rows, remaining_rows, _ = core.selected_remaining_tables( self.people, people_selected[0], @@ -214,7 +214,7 @@ def __init__(self): self.g_sheet_name = "" self.features_tab_name = "Categories" self.people_tab_name = "Respondents" - self.gen_rem_tab = "on" + self.gen_rem_tab = True self.number_selections = 1 # How many panels to create self.panel_size = 0 # Number of people in each panel @@ -254,11 +254,11 @@ def update_features_tab_name(self, features_tab_name_input: str) -> None: self._clear_messages() self.features_tab_name = features_tab_name_input - def update_gen_rem_tab(self, gen_rem_tab_input: str) -> None: - self.gen_rem_tab = gen_rem_tab_input + def update_gen_rem_tab(self, gen_rem_tab: bool) -> None: + self.gen_rem_tab = gen_rem_tab # never generate a remaining tab if doing a multiple selection if self.number_selections > 1: - self.gen_rem_tab = "off" + self.gen_rem_tab = False def update_number_selections(self, number_selections_input: str) -> None: self._clear_messages() @@ -266,7 +266,8 @@ def update_number_selections(self, number_selections_input: str) -> None: # never generate a remaining tab if doing a multiple selection # but turn it on if = 1 (this could be wrong if the person wants it off!) # if this has changed back to 1... - self.gen_rem_tab = "off" if self.number_selections > 1 else "on" + if self.number_selections > 1: + self.gen_rem_tab = False # do features and people at same time... def load_g_sheet(self) -> None: @@ -300,8 +301,8 @@ def load_g_sheet(self) -> None: def add_feature_content(self, features_tab_name: str) -> None: try: - self.features, msgs = self.adapter.load_features(features_tab_name) - gui_log.add_lines(LogType.GSHEET_FEATURES, msgs) + self.features, report = self.adapter.load_features(features_tab_name) + gui_log.add_line(LogType.GSHEET_FEATURES, report.as_html()) except gspread.exceptions.APIError as error: gui_log.add_line( LogType.GSHEET_FEATURES, @@ -335,12 +336,12 @@ def add_feature_content(self, features_tab_name: str) -> None: def add_people_content(self, people_tab_name: str) -> None: assert self.features is not None try: - self.people, msgs = self.adapter.load_people( + self.people, report = self.adapter.load_people( people_tab_name, settings_holder.settings, self.features, ) - gui_log.add_lines(LogType.GSHEET_SELECTION, msgs) + gui_log.add_line(LogType.GSHEET_SELECTION, report.as_html()) except Exception as error: gui_log.add_line( LogType.GSHEET_SELECTION, @@ -355,7 +356,7 @@ def add_people_content(self, people_tab_name: str) -> None: def run_selection(self, test_selection: bool) -> None: assert self.features is not None and self.people is not None gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") - success, people_selected, msgs = core.run_stratification( + success, people_selected, report = core.run_stratification( self.features, self.people, self.panel_size, @@ -363,7 +364,7 @@ def run_selection(self, test_selection: bool) -> None: test_selection=test_selection, number_selections=self.number_selections, ) - gui_log.add_lines(LogType.DETAILED_LOG, msgs) + gui_log.add_lines(LogType.DETAILED_LOG, report.as_html()) if not success: gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet.") @@ -463,7 +464,7 @@ def update_gen_rem_tab(gen_rem_tab): @eel.expose def reload_gen_rem_tab(): - g_sheet_handler.update_gen_rem_tab("") + g_sheet_handler.update_gen_rem_tab(gen_rem_tab=False) @eel.expose diff --git a/uv.lock b/uv.lock index af7f07f..fb9c00a 100644 --- a/uv.lock +++ b/uv.lock @@ -824,7 +824,7 @@ wheels = [ [[package]] name = "sortition-algorithms" -version = "0.9.3" +version = "0.10.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "attrs" }, @@ -834,10 +834,11 @@ dependencies = [ { name = "mip" }, { name = "numpy" }, { name = "oauth2client" }, + { name = "tabulate" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a5/ea/07e7d315b0727baf26d393a933a9acbd697399674c82f07931d796ddc38c/sortition_algorithms-0.9.3.tar.gz", hash = "sha256:8d8b116fdd771e0f9f8e7b76c977239f1a2dc6de82278c09945266afd84e1bf3", size = 147058, upload-time = "2025-09-09T15:02:54.472Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ef/59/89657544aa8e561cec4e3e785ec5456d0ebac31e6c57bbf053475b3d19af/sortition_algorithms-0.10.1.tar.gz", hash = "sha256:29d844c9b7bbb8fde21dfe30346d3635247a090513f5b5a0e22be1f6634fead4", size = 153098, upload-time = "2025-09-18T10:33:35.14Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/69/b5/629ac14aecbfd46be3c8ad104fcdbe18267048a7902d5e849db8688ec9a3/sortition_algorithms-0.9.3-py3-none-any.whl", hash = "sha256:3ee9ee664fb97ff669d66a74f58eb9d986722944eabe285ee228f0bb0f6381dc", size = 59416, upload-time = "2025-09-09T15:02:53.321Z" }, + { url = "https://files.pythonhosted.org/packages/4c/eb/c4356ba6d7ee5c0d32cb2f65d6b60d8be6a7416c404e1d681d13967ec286/sortition_algorithms-0.10.1-py3-none-any.whl", hash = "sha256:642d4f429fad6b45d6012ed368e98752c59a12ded25a53e11907aa04031338eb", size = 61671, upload-time = "2025-09-18T10:33:33.957Z" }, ] [[package]] @@ -864,7 +865,7 @@ requires-dist = [ { name = "eel", specifier = "==0.17.0" }, { name = "oauth2client", specifier = "<5" }, { name = "pyinstaller", specifier = "<7" }, - { name = "sortition-algorithms", specifier = ">=0.9.3" }, + { name = "sortition-algorithms", specifier = ">=0.10.1" }, { name = "toml" }, ] @@ -875,6 +876,15 @@ dev = [ { name = "ruff", specifier = ">=0.9.7" }, ] +[[package]] +name = "tabulate" +version = "0.9.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090, upload-time = "2022-10-06T17:21:48.54Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252, upload-time = "2022-10-06T17:21:44.262Z" }, +] + [[package]] name = "toml" version = "0.10.2" diff --git a/web/js/main.js b/web/js/main.js index 567a75f..c65b879 100644 --- a/web/js/main.js +++ b/web/js/main.js @@ -187,9 +187,9 @@ $(function () { function handle_gen_rem_tab() { if (this.checked == true) { - eel.update_gen_rem_tab(this.value); + eel.update_gen_rem_tab(true); } else { - eel.update_gen_rem_tab("off"); + eel.update_gen_rem_tab(false); } } From a5df9ea6de674d9d5cc849fc3165b576bd367c8c Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Fri, 3 Oct 2025 10:47:38 +0100 Subject: [PATCH 11/26] update eel to avoid pkg_resources warning --- pyproject.toml | 2 +- uv.lock | 27 ++++++++++++++------------- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index eab541a..52848a4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,7 +10,7 @@ authors = [ readme = "README.md" requires-python = ">=3.11,<3.13" dependencies = [ - "Eel==0.17.0", + "Eel==0.18.2", "oauth2client<5", "pyinstaller<7", "sortition-algorithms>=0.10.1", diff --git a/uv.lock b/uv.lock index fb9c00a..8155b7d 100644 --- a/uv.lock +++ b/uv.lock @@ -212,16 +212,17 @@ wheels = [ [[package]] name = "eel" -version = "0.17.0" +version = "0.18.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "bottle" }, { name = "bottle-websocket" }, { name = "future" }, + { name = "importlib-resources" }, { name = "pyparsing" }, - { name = "whichcraft" }, + { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/42/e7/fc5243361a3f7045634034c1c41a97f938cf3bb4a4cf4ad2d81318bd5d26/eel-0.17.0.tar.gz", hash = "sha256:77f16e24a9f68fe9cc5e2f066c0c2d47ad6f50fffdd842d108d7ac094b94c523", size = 24419, upload-time = "2024-07-11T22:39:04.59Z" } +sdist = { url = "https://files.pythonhosted.org/packages/0c/e2/425bc21d095f2c51a319d120c83111bb23ff5ee887cb9cbbf840df4a21b4/eel-0.18.2.tar.gz", hash = "sha256:0f70b0f8aa2da57859b35d448ea89ad2102d56b206f8500f130df069e9df2c3a", size = 26849, upload-time = "2025-06-22T18:21:36.535Z" } [[package]] name = "future" @@ -363,6 +364,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" }, ] +[[package]] +name = "importlib-resources" +version = "6.5.2" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/cf/8c/f834fbf984f691b4f7ff60f50b514cc3de5cc08abfc3295564dd89c5e2e7/importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c", size = 44693, upload-time = "2025-01-03T18:51:56.698Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec", size = 37461, upload-time = "2025-01-03T18:51:54.306Z" }, +] + [[package]] name = "iniconfig" version = "2.1.0" @@ -862,7 +872,7 @@ dev = [ [package.metadata] requires-dist = [ - { name = "eel", specifier = "==0.17.0" }, + { name = "eel", specifier = "==0.18.2" }, { name = "oauth2client", specifier = "<5" }, { name = "pyinstaller", specifier = "<7" }, { name = "sortition-algorithms", specifier = ">=0.10.1" }, @@ -941,15 +951,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a7/c2/fe1e52489ae3122415c51f387e221dd0773709bad6c6cdaa599e8a2c5185/urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc", size = 129795, upload-time = "2025-06-18T14:07:40.39Z" }, ] -[[package]] -name = "whichcraft" -version = "0.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/67/f5/546c1494f1f8f004de512b5c9c89a8b7afb1d030c9307dd65df48e5772a3/whichcraft-0.6.1.tar.gz", hash = "sha256:acdbb91b63d6a15efbd6430d1d7b2d36e44a71697e93e19b7ded477afd9fce87", size = 6909, upload-time = "2019-09-06T19:19:48.138Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b5/a2/81887a0dae2e4d2adc70d9a3557fdda969f863ced51cd3c47b587d25bce5/whichcraft-0.6.1-py2.py3-none-any.whl", hash = "sha256:deda9266fbb22b8c64fd3ee45c050d61139cd87419765f588e37c8d23e236dd9", size = 5223, upload-time = "2019-09-06T19:19:44.957Z" }, -] - [[package]] name = "zope-event" version = "5.1.1" From 31b328a2e23a067fc4c04937732b77efe6800afd Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Fri, 3 Oct 2025 14:57:43 +0100 Subject: [PATCH 12/26] add explicit message to say feature and people loading succeeded --- script.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/script.py b/script.py index aba6baf..f446e9a 100644 --- a/script.py +++ b/script.py @@ -166,6 +166,7 @@ def add_people_content(self, file_contents: str) -> None: LogType.CSV_SELECTION, f"Loaded {self.people.count} people.", ) + gui_log.add_line(LogType.CSV_SELECTION, "Successfully loaded features and people.") except Exception as error: gui_log.add_line(LogType.CSV_SELECTION, f"Failed to load people: {error}") self.update_run_button() @@ -290,6 +291,7 @@ def load_g_sheet(self) -> None: self.adapter.set_g_sheet_name(self.g_sheet_name) self.add_feature_content(self.features_tab_name) self.add_people_content(self.people_tab_name) + gui_log.add_line(LogType.GSHEET_SELECTION, "Successfully loaded features and people.") self.update_run_button() eel.enable_load_g_sheet_btn() except Exception as error: From 6069fc92762841d8268a057ab2f9e46422177f6b Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Fri, 3 Oct 2025 15:00:15 +0100 Subject: [PATCH 13/26] Stop treating generated report as list It is a single string --- script.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/script.py b/script.py index f446e9a..5197fef 100644 --- a/script.py +++ b/script.py @@ -182,7 +182,7 @@ def run_selection(self, test_selection: bool) -> None: settings_holder.settings, test_selection=test_selection, ) - gui_log.add_lines(LogType.DETAILED_LOG, report.as_html()) + gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) selected_rows, remaining_rows, _ = core.selected_remaining_tables( self.people, people_selected[0], @@ -366,7 +366,7 @@ def run_selection(self, test_selection: bool) -> None: test_selection=test_selection, number_selections=self.number_selections, ) - gui_log.add_lines(LogType.DETAILED_LOG, report.as_html()) + gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) if not success: gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet.") From ed5dbaad46b64e5ff6ce48aff251c5c29517ac37 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 10:42:11 +0100 Subject: [PATCH 14/26] Upgrade to sortition-algorithms 0.10.2 And adapt to XYZDataSource pattern --- pyproject.toml | 2 +- script.py | 47 +++++++++++++++++++---------------------------- uv.lock | 8 ++++---- 3 files changed, 24 insertions(+), 33 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 52848a4..fb5b3f8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "Eel==0.18.2", "oauth2client<5", "pyinstaller<7", - "sortition-algorithms>=0.10.1", + "sortition-algorithms==0.10.2", "toml", ] diff --git a/script.py b/script.py index 5197fef..edc7a21 100644 --- a/script.py +++ b/script.py @@ -2,7 +2,6 @@ import sys from collections.abc import Iterable from enum import Enum -from io import StringIO from pathlib import Path import eel @@ -98,7 +97,8 @@ def loaded(self) -> bool: class CSVHandler: def __init__(self): - self.adapter = adapters.CSVAdapter() + self.data_source = adapters.CSVStringDataSource("", "") + self.select_data = adapters.SelectionData(self.data_source) self.features: features.FeatureCollection | None = None self.people: people.People | None = None # cache this in case we need to reload @@ -132,7 +132,8 @@ def add_feature_content(self, file_contents: str): if not settings_holder.loaded(): return try: - self.features, report = self.adapter.load_features_from_str(file_contents) + self.data_source.features_data = file_contents + self.features, report = self.select_data.load_features() gui_log.add_line(LogType.CSV_FEATURES, report.as_html()) except Exception as error: gui_log.add_line(LogType.CSV_FEATURES, f"Failed to load features: {error}") @@ -154,11 +155,8 @@ def add_people_content(self, file_contents: str) -> None: gui_log.reset(LogType.CSV_SELECTION) assert self.features is not None try: - self.people, report = self.adapter.load_people_from_str( - file_contents, - settings_holder.settings, - self.features, - ) + self.data_source.people_data = file_contents + self.people, report = self.select_data.load_people(settings_holder.settings, self.features) # now we've done a successful load, cache the results self.people_contents = file_contents gui_log.add_line(LogType.CSV_SELECTION, report.as_html()) @@ -190,15 +188,13 @@ def run_selection(self, test_selection: bool) -> None: settings_holder.settings, ) if success: - self.adapter.selected_file = StringIO() - self.adapter.remaining_file = StringIO() - self.adapter.output_selected_remaining(selected_rows, remaining_rows) + self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) eel.enable_csv_selected_download( - self.adapter.selected_file.getvalue(), + self.data_source.selected_file.getvalue(), "selected.csv", ) eel.enable_csv_remaining_download( - self.adapter.remaining_file.getvalue(), + self.data_source.remaining_file.getvalue(), "remaining.csv", ) @@ -209,7 +205,8 @@ class GSheetHandler: remaining_tab_name = "Remaining - output - " def __init__(self): - self.adapter = adapters.GSheetAdapter(DEFAULT_AUTH_JSON_PATH) + self.data_source = adapters.GSheetDataSource("", "", DEFAULT_AUTH_JSON_PATH) + self.select_data = adapters.SelectionData(self.data_source) self.features: features.FeatureCollection | None = None self.people: people.People | None = None self.g_sheet_name = "" @@ -288,7 +285,7 @@ def load_g_sheet(self) -> None: f"You cannot use the Produce a Test Panel button if you want more " f"than 1 selection and no Remaining tab will be created.", ) - self.adapter.set_g_sheet_name(self.g_sheet_name) + self.data_source.set_g_sheet_name(self.g_sheet_name) self.add_feature_content(self.features_tab_name) self.add_people_content(self.people_tab_name) gui_log.add_line(LogType.GSHEET_SELECTION, "Successfully loaded features and people.") @@ -303,7 +300,8 @@ def load_g_sheet(self) -> None: def add_feature_content(self, features_tab_name: str) -> None: try: - self.features, report = self.adapter.load_features(features_tab_name) + self.data_source.feature_tab_name = features_tab_name + self.features, report = self.select_data.load_features() gui_log.add_line(LogType.GSHEET_FEATURES, report.as_html()) except gspread.exceptions.APIError as error: gui_log.add_line( @@ -338,11 +336,8 @@ def add_feature_content(self, features_tab_name: str) -> None: def add_people_content(self, people_tab_name: str) -> None: assert self.features is not None try: - self.people, report = self.adapter.load_people( - people_tab_name, - settings_holder.settings, - self.features, - ) + self.data_source.people_tab_name = people_tab_name + self.people, report = self.select_data.load_people(settings_holder.settings, self.features) gui_log.add_line(LogType.GSHEET_SELECTION, report.as_html()) except Exception as error: gui_log.add_line( @@ -376,13 +371,9 @@ def run_selection(self, test_selection: bool) -> None: self.features, settings_holder.settings, ) - self.adapter.selected_tab_name = self.original_selected_tab_name - self.adapter.remaining_tab_name = self.remaining_tab_name - self.adapter.output_selected_remaining( - selected_rows, - remaining_rows, - settings_holder.settings, - ) + self.data_source.selected_tab_name = self.original_selected_tab_name + self.data_source.remaining_tab_name = self.remaining_tab_name + self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) # globals - GUI event handlers diff --git a/uv.lock b/uv.lock index 8155b7d..4729ec3 100644 --- a/uv.lock +++ b/uv.lock @@ -834,7 +834,7 @@ wheels = [ [[package]] name = "sortition-algorithms" -version = "0.10.1" +version = "0.10.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "attrs" }, @@ -846,9 +846,9 @@ dependencies = [ { name = "oauth2client" }, { name = "tabulate" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/ef/59/89657544aa8e561cec4e3e785ec5456d0ebac31e6c57bbf053475b3d19af/sortition_algorithms-0.10.1.tar.gz", hash = "sha256:29d844c9b7bbb8fde21dfe30346d3635247a090513f5b5a0e22be1f6634fead4", size = 153098, upload-time = "2025-09-18T10:33:35.14Z" } +sdist = { url = "https://files.pythonhosted.org/packages/f9/59/9f36ad8efd4e963d446b6450efd2e36cbcd08a8152a8efd7ec98a40c192c/sortition_algorithms-0.10.2.tar.gz", hash = "sha256:b75e14c5447a91b02b40d27bf96f4b9380dff9fe69255d5f13592aa12713fe5c", size = 157139, upload-time = "2025-10-06T09:39:38.385Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/4c/eb/c4356ba6d7ee5c0d32cb2f65d6b60d8be6a7416c404e1d681d13967ec286/sortition_algorithms-0.10.1-py3-none-any.whl", hash = "sha256:642d4f429fad6b45d6012ed368e98752c59a12ded25a53e11907aa04031338eb", size = 61671, upload-time = "2025-09-18T10:33:33.957Z" }, + { url = "https://files.pythonhosted.org/packages/8d/42/4624a4cfd5c1f015b731976493ad16068eb4d72a196f9e3a6b401c2e54e3/sortition_algorithms-0.10.2-py3-none-any.whl", hash = "sha256:ff166c8f496208ec960b6a8c1afc5b2b3362281888db911bff621c919647a616", size = 62862, upload-time = "2025-10-06T09:39:36.109Z" }, ] [[package]] @@ -875,7 +875,7 @@ requires-dist = [ { name = "eel", specifier = "==0.18.2" }, { name = "oauth2client", specifier = "<5" }, { name = "pyinstaller", specifier = "<7" }, - { name = "sortition-algorithms", specifier = ">=0.10.1" }, + { name = "sortition-algorithms", specifier = "==0.10.2" }, { name = "toml" }, ] From df2facac066faa575052e5ecfd02552ee29d6a78 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 11:51:34 +0100 Subject: [PATCH 15/26] Improve handling of panel_size in the code Always store as a string, but with panel_size_num as a property for when we need that. Put all the handling of odd values in _set_panel_size() - negative values and non-integer values will be resolved here. And then use that everywhere. --- script.py | 89 ++++++++++++++++++++++++++++++++++++++++--------------- 1 file changed, 65 insertions(+), 24 deletions(-) diff --git a/script.py b/script.py index edc7a21..7a47989 100644 --- a/script.py +++ b/script.py @@ -103,22 +103,38 @@ def __init__(self): self.people: people.People | None = None # cache this in case we need to reload self.people_contents: str = "" - self.panel_size: int = 0 + self.panel_size_str = "0" # Number of people in each panel + + @property + def panel_size_num(self) -> int: + if self.panel_size_str == "": + return 0 + return int(self.panel_size_str) + + def _set_panel_size(self, panel_size: str | int, *, update_eel: bool = True) -> None: + self.panel_size_str = str(panel_size) + # check if we can convert to int, and that it is >= 0 + try: + panel_size_int = int(self.panel_size_str) + if panel_size_int < 0: + self.panel_size_str = "" + except ValueError: + self.panel_size_str = "" + # finally update the display - unless we've been called from the JS + # in which case skip this to avoid infinite loops. + if update_eel: + eel.set_csv_panel_size(self.panel_size_str) def update_panel_size(self, panel_size: str) -> None: - if panel_size == "": - self.panel_size = 1 - else: - self.panel_size = int(panel_size.strip()) - self.update_run_button() + # this comes from the UI, so don't update_eel - otherwise we have a loop + self._set_panel_size(panel_size.strip(), update_eel=False) + self.update_run_button() def update_run_button(self): - if self.features and self.people and self.panel_size > 0: + if self.features and self.people and self.panel_size_num > 0: eel.enable_csv_run_button() else: eel.disable_csv_run_button() - if self.panel_size <= 0: - eel.set_csv_panel_size("") def add_feature_content(self, file_contents: str): gui_log.reset(LogType.CSV_FEATURES) @@ -145,8 +161,7 @@ def add_feature_content(self, file_contents: str): eel.update_csv_selection_range(min_size, max_size) # if these are the same just set the value! if min_size == max_size and min_size > 0: - eel.set_csv_panel_size(str(min_size)) - self.panel_size = min_size + self._set_panel_size(min_size) # reset people, might need to be reloaded with features if self.people: self.add_people_content(self.people_contents) @@ -176,7 +191,7 @@ def run_selection(self, test_selection: bool) -> None: success, people_selected, report = core.run_stratification( self.features, self.people, - self.panel_size, + self.panel_size_num, settings_holder.settings, test_selection=test_selection, ) @@ -214,42 +229,69 @@ def __init__(self): self.people_tab_name = "Respondents" self.gen_rem_tab = True self.number_selections = 1 # How many panels to create - self.panel_size = 0 # Number of people in each panel + self.panel_size_str = "0" # Number of people in each panel + + @property + def panel_size_num(self) -> int: + if self.panel_size_str == "": + return 0 + return int(self.panel_size_str) + + def _set_panel_size(self, panel_size: str | int, *, update_eel: bool = True) -> None: + self.panel_size_str = str(panel_size) + # check if we can convert to int, and that it is >= 0 + try: + panel_size_int = int(self.panel_size_str) + if panel_size_int < 0: + self.panel_size_str = "" + except ValueError: + self.panel_size_str = "" + # finally update the display - unless we've been called from the JS + # in which case skip this to avoid infinite loops. + if update_eel: + eel.set_g_sheet_panel_size(self.panel_size_str) def _clear_messages(self, normal_message: str = clear_message) -> None: + """Clear all messages (and optionally put a new message in place)""" gui_log.reset(LogType.GSHEET_FEATURES, normal_message) gui_log.reset(LogType.GSHEET_SELECTION, normal_message) gui_log.reset(LogType.DETAILED_LOG) - eel.set_g_sheet_panel_size("") + self._set_panel_size("") + + def _reset_spreadsheet(self, *, reset_features: bool = True) -> None: + if reset_features: + self.features = None + self.people = None + self._set_panel_size("") + self.update_run_button() # called from g-sheet input def update_g_sheet_name(self, g_sheet_name_input) -> None: self._clear_messages() + self._reset_spreadsheet() self.g_sheet_name = g_sheet_name_input if self.g_sheet_name != "": eel.enable_load_g_sheet_btn() def update_panel_size(self, panel_size: str) -> None: - if panel_size == "": - self.panel_size = 1 - else: - self.panel_size = int(panel_size.strip()) + # this comes from the UI, so don't update_eel - otherwise we have a loop + self._set_panel_size(panel_size.strip(), update_eel=False) self.update_run_button() def update_run_button(self) -> None: - if self.features and self.people and self.panel_size > 0: + if self.features and self.people and self.panel_size_num > 0: eel.enable_g_sheet_run_button() else: eel.disable_g_sheet_run_button() - if self.panel_size <= 0: - eel.set_g_sheet_panel_size("") def update_people_tab_name(self, people_tab_name_input: str) -> None: self._clear_messages() + self._reset_spreadsheet(reset_features=False) self.people_tab_name = people_tab_name_input def update_features_tab_name(self, features_tab_name_input: str) -> None: self._clear_messages() + self._reset_spreadsheet() self.features_tab_name = features_tab_name_input def update_gen_rem_tab(self, gen_rem_tab: bool) -> None: @@ -330,8 +372,7 @@ def add_feature_content(self, features_tab_name: str) -> None: eel.update_g_sheet_selection_range(min_size, max_size) # if these are the same just set the value! if min_size == max_size and min_size > 0: - eel.set_g_sheet_panel_size(str(min_size)) - self.panel_size = min_size + self._set_panel_size(min_size) def add_people_content(self, people_tab_name: str) -> None: assert self.features is not None @@ -356,7 +397,7 @@ def run_selection(self, test_selection: bool) -> None: success, people_selected, report = core.run_stratification( self.features, self.people, - self.panel_size, + self.panel_size_num, settings_holder.settings, test_selection=test_selection, number_selections=self.number_selections, From f776c4d3b5dad702ba5d3381f3150117a7b8ba62 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 11:55:27 +0100 Subject: [PATCH 16/26] Don't try to write selection when selection failed Instead just return early --- script.py | 1 + 1 file changed, 1 insertion(+) diff --git a/script.py b/script.py index 7a47989..4b72e9c 100644 --- a/script.py +++ b/script.py @@ -405,6 +405,7 @@ def run_selection(self, test_selection: bool) -> None: gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) if not success: gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet.") + return selected_rows, remaining_rows, _ = core.selected_remaining_tables( self.people, From 7b895edd54ea5ae4800786ed1ca39f9cb8b624e7 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 12:07:19 +0100 Subject: [PATCH 17/26] Respect the "generate remaining tab" checkbox And also actually tell the user when the writing to the spreadsheet has finished. --- script.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/script.py b/script.py index 4b72e9c..f76b555 100644 --- a/script.py +++ b/script.py @@ -296,18 +296,17 @@ def update_features_tab_name(self, features_tab_name_input: str) -> None: def update_gen_rem_tab(self, gen_rem_tab: bool) -> None: self.gen_rem_tab = gen_rem_tab + + def _safe_gen_rem_tab(self) -> bool: + """Get self.gen_rem_tab - but set to false if number_selections > 1""" # never generate a remaining tab if doing a multiple selection if self.number_selections > 1: - self.gen_rem_tab = False + return False + return self.gen_rem_tab def update_number_selections(self, number_selections_input: str) -> None: self._clear_messages() self.number_selections = 1 if number_selections_input == "" else int(number_selections_input) - # never generate a remaining tab if doing a multiple selection - # but turn it on if = 1 (this could be wrong if the person wants it off!) - # if this has changed back to 1... - if self.number_selections > 1: - self.gen_rem_tab = False # do features and people at same time... def load_g_sheet(self) -> None: @@ -404,9 +403,10 @@ def run_selection(self, test_selection: bool) -> None: ) gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) if not success: - gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet.") + gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet - ending here.") return + gui_log.add_line(LogType.DETAILED_LOG, "About to write to spreadsheet.") selected_rows, remaining_rows, _ = core.selected_remaining_tables( self.people, people_selected[0], @@ -415,7 +415,10 @@ def run_selection(self, test_selection: bool) -> None: ) self.data_source.selected_tab_name = self.original_selected_tab_name self.data_source.remaining_tab_name = self.remaining_tab_name + self.select_data.gen_rem_tab = self._safe_gen_rem_tab() self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) + gui_log.add_line(LogType.DETAILED_LOG, "All spreadsheet writing has finished.") + gui_log.add_line(LogType.DETAILED_LOG, "Selection process finished.") # globals - GUI event handlers From 7acaeea15ba528f2ddcc808d79869ef79bd8add2 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 13:12:29 +0100 Subject: [PATCH 18/26] Catch all errors that come out of sorition algorithms during selection and writing the selected and remaining people. So that the app doesn't just appear to freeze. --- script.py | 113 ++++++++++++++++++++++++++++++++++-------------------- 1 file changed, 71 insertions(+), 42 deletions(-) diff --git a/script.py b/script.py index f76b555..6cc9192 100644 --- a/script.py +++ b/script.py @@ -188,29 +188,45 @@ def run_selection(self, test_selection: bool) -> None: assert self.people is not None and self.features is not None # they may have hit this button again, so clear the output area so it's more obvious gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") - success, people_selected, report = core.run_stratification( - self.features, - self.people, - self.panel_size_num, - settings_holder.settings, - test_selection=test_selection, - ) + try: + success, people_selected, report = core.run_stratification( + self.features, + self.people, + self.panel_size_num, + settings_holder.settings, + test_selection=test_selection, + ) + except Exception as err: + gui_log.add_lines( + LogType.DETAILED_LOG, + [f"Unexpected error during selection: {err}", "Selection failed, process ended."], + ) + return gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) - selected_rows, remaining_rows, _ = core.selected_remaining_tables( - self.people, - people_selected[0], - self.features, - settings_holder.settings, - ) - if success: - self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) - eel.enable_csv_selected_download( - self.data_source.selected_file.getvalue(), - "selected.csv", + if not success: + gui_log.add_line(LogType.DETAILED_LOG, "No panels written to CSV, process ended.") + return + try: + selected_rows, remaining_rows, _ = core.selected_remaining_tables( + self.people, + people_selected[0], + self.features, + settings_holder.settings, ) - eel.enable_csv_remaining_download( - self.data_source.remaining_file.getvalue(), - "remaining.csv", + if success: + self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) + eel.enable_csv_selected_download( + self.data_source.selected_file.getvalue(), + "selected.csv", + ) + eel.enable_csv_remaining_download( + self.data_source.remaining_file.getvalue(), + "remaining.csv", + ) + except Exception as err: + gui_log.add_lines( + LogType.DETAILED_LOG, + [f"Unexpected error during writing selection: {err}", "Writing failed, process ended."], ) @@ -393,32 +409,45 @@ def add_people_content(self, people_tab_name: str) -> None: def run_selection(self, test_selection: bool) -> None: assert self.features is not None and self.people is not None gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") - success, people_selected, report = core.run_stratification( - self.features, - self.people, - self.panel_size_num, - settings_holder.settings, - test_selection=test_selection, - number_selections=self.number_selections, - ) + try: + success, people_selected, report = core.run_stratification( + self.features, + self.people, + self.panel_size_num, + settings_holder.settings, + test_selection=test_selection, + number_selections=self.number_selections, + ) + except Exception as err: + gui_log.add_lines( + LogType.DETAILED_LOG, + [f"Unexpected error during selection: {err}", "Selection failed, process ended."], + ) + return gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) if not success: - gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet - ending here.") + gui_log.add_line(LogType.DETAILED_LOG, "No panels written to spreadsheet, process ended.") return gui_log.add_line(LogType.DETAILED_LOG, "About to write to spreadsheet.") - selected_rows, remaining_rows, _ = core.selected_remaining_tables( - self.people, - people_selected[0], - self.features, - settings_holder.settings, - ) - self.data_source.selected_tab_name = self.original_selected_tab_name - self.data_source.remaining_tab_name = self.remaining_tab_name - self.select_data.gen_rem_tab = self._safe_gen_rem_tab() - self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) - gui_log.add_line(LogType.DETAILED_LOG, "All spreadsheet writing has finished.") - gui_log.add_line(LogType.DETAILED_LOG, "Selection process finished.") + try: + selected_rows, remaining_rows, _ = core.selected_remaining_tables( + self.people, + people_selected[0], + self.features, + settings_holder.settings, + ) + self.data_source.selected_tab_name = self.original_selected_tab_name + self.data_source.remaining_tab_name = self.remaining_tab_name + self.select_data.gen_rem_tab = self._safe_gen_rem_tab() + self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) + gui_log.add_line(LogType.DETAILED_LOG, "All spreadsheet writing has finished.") + gui_log.add_line(LogType.DETAILED_LOG, "Selection process finished.") + except Exception as err: + gui_log.add_lines( + LogType.DETAILED_LOG, + [f"Unexpected error during writing selection: {err}", "Writing failed, process ended."], + ) # globals - GUI event handlers From 0a659c36fc232b193f8a9c5dc531b82c0d55ad68 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Mon, 6 Oct 2025 15:10:26 +0100 Subject: [PATCH 19/26] Improved output to user - more errors caught by upgraded library - use better library reports to show user what spreadsheet tabs were written to this run. --- pyproject.toml | 2 +- script.py | 12 +++++++++++- uv.lock | 8 ++++---- 3 files changed, 16 insertions(+), 6 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index fb5b3f8..29208f4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "Eel==0.18.2", "oauth2client<5", "pyinstaller<7", - "sortition-algorithms==0.10.2", + "sortition-algorithms==0.10.3", "toml", ] diff --git a/script.py b/script.py index 6cc9192..cede96f 100644 --- a/script.py +++ b/script.py @@ -440,7 +440,17 @@ def run_selection(self, test_selection: bool) -> None: self.data_source.selected_tab_name = self.original_selected_tab_name self.data_source.remaining_tab_name = self.remaining_tab_name self.select_data.gen_rem_tab = self._safe_gen_rem_tab() - self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) + dupes, report = self.select_data.output_selected_remaining( + selected_rows, + remaining_rows, + settings_holder.settings, + ) + gui_log.add_line(LogType.DETAILED_LOG, report.as_html()) + gui_log.add_line( + LogType.DETAILED_LOG, + f"In the remaining tab there are {len(dupes)} people who share the same address as " + f"someone else in the tab. They are highlighted in orange.", + ) gui_log.add_line(LogType.DETAILED_LOG, "All spreadsheet writing has finished.") gui_log.add_line(LogType.DETAILED_LOG, "Selection process finished.") except Exception as err: diff --git a/uv.lock b/uv.lock index 4729ec3..c742529 100644 --- a/uv.lock +++ b/uv.lock @@ -834,7 +834,7 @@ wheels = [ [[package]] name = "sortition-algorithms" -version = "0.10.2" +version = "0.10.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "attrs" }, @@ -846,9 +846,9 @@ dependencies = [ { name = "oauth2client" }, { name = "tabulate" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/f9/59/9f36ad8efd4e963d446b6450efd2e36cbcd08a8152a8efd7ec98a40c192c/sortition_algorithms-0.10.2.tar.gz", hash = "sha256:b75e14c5447a91b02b40d27bf96f4b9380dff9fe69255d5f13592aa12713fe5c", size = 157139, upload-time = "2025-10-06T09:39:38.385Z" } +sdist = { url = "https://files.pythonhosted.org/packages/d2/25/9a1d9c88d97e52669051c5fda54478e6627e416616ee7bcf70383b9397a6/sortition_algorithms-0.10.3.tar.gz", hash = "sha256:3cff4d3ab3f18c8420ee83fca2713dad1641e08145338ace629d69dcc15fd12b", size = 157261, upload-time = "2025-10-06T13:57:53.588Z" } wheels = [ - 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From 6bd4a19c90d1343c96e6750a459496ea30261a71 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Wed, 8 Oct 2025 16:33:02 +0100 Subject: [PATCH 22/26] Improve reporting when error in feature/people loading By actually stopping processing and ensuring we have some reasonable messages after the error report from the library. --- script.py | 31 ++++++++++++++++++------------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/script.py b/script.py index 2cfb5db..b5caa26 100644 --- a/script.py +++ b/script.py @@ -12,6 +12,10 @@ DEFAULT_AUTH_JSON_PATH = Path.home() / "secret_do_not_commit.json" +class KnownFailureError(Exception): + """Class to raise without extra errors""" + + class LogType(Enum): CSV_FEATURES = 1 CSV_SELECTION = 2 @@ -350,12 +354,15 @@ def load_g_sheet(self) -> None: gui_log.add_line(LogType.GSHEET_SELECTION, "Successfully loaded features and people.") self.update_run_button() eel.enable_load_g_sheet_btn() - except Exception as error: - gui_log.add_line( + except KnownFailureError: + # this is for when the function called has already logged the error, so we don't need + # to report it again. + gui_log.add_lines( LogType.GSHEET_FEATURES, - f"Please wait a couple of seconds while gsheet updates. " - f"After waiting you may need to reload sheet. Current error is: {error}", + ["Loading spreadsheet failed, see above messages.", "Fix the problems and try loading again."], ) + except Exception as error: + gui_log.add_line(LogType.GSHEET_FEATURES, f"Loading spreadsheet failed: {error}") def add_feature_content(self, features_tab_name: str) -> None: try: @@ -369,17 +376,13 @@ def add_feature_content(self, features_tab_name: str) -> None: f"After waiting you may need to reload sheet. " f"For the record, the API error is {error}", ) + raise KnownFailureError from error except Exception as error: - gui_log.add_line( - LogType.GSHEET_FEATURES, - f"Failed to load features: {error}", - ) + gui_log.add_line(LogType.GSHEET_FEATURES, f"Failed to load features: {error}") + raise KnownFailureError from error if not self.features: - gui_log.add_line( - LogType.GSHEET_FEATURES, - "Failed to load features", - ) - return + gui_log.add_line(LogType.GSHEET_FEATURES, "Failed to load features") + raise KnownFailureError eel.update_g_sheet_selection_range( features.minimum_selection(self.features), features.maximum_selection(self.features), @@ -402,11 +405,13 @@ def add_people_content(self, people_tab_name: str) -> None: LogType.GSHEET_SELECTION, f"Failed to load people: {error}", ) + raise KnownFailureError from error if not self.people: gui_log.add_line( LogType.GSHEET_SELECTION, "Failed to load people", ) + raise KnownFailureError def run_selection(self, test_selection: bool) -> None: assert self.features is not None and self.people is not None From 2c7a48a73b3ff316a922c2910f7d1608c89c8d14 Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Wed, 8 Oct 2025 16:49:23 +0100 Subject: [PATCH 23/26] Slightly improve messages in central box Rather than having two messages appear about asking for data as soon as we start, we instead just show one message, and show the people tab message when we get there. Also have the messages show what data we're asking for and which tab is being read to fetch the data. --- script.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/script.py b/script.py index b5caa26..7d8d47e 100644 --- a/script.py +++ b/script.py @@ -271,10 +271,10 @@ def _set_panel_size(self, panel_size: str | int, *, update_eel: bool = True) -> if update_eel: eel.set_g_sheet_panel_size(self.panel_size_str) - def _clear_messages(self, normal_message: str = clear_message) -> None: + def _clear_messages(self, features_message: str = clear_message) -> None: """Clear all messages (and optionally put a new message in place)""" - gui_log.reset(LogType.GSHEET_FEATURES, normal_message) - gui_log.reset(LogType.GSHEET_SELECTION, normal_message) + gui_log.reset(LogType.GSHEET_FEATURES, features_message) + gui_log.reset(LogType.GSHEET_SELECTION) gui_log.reset(LogType.DETAILED_LOG) self._set_panel_size("") @@ -336,7 +336,7 @@ def load_g_sheet(self) -> None: if self.g_sheet_name == "": self._clear_messages("Please enter a spreadsheet name...") return - self._clear_messages("Requesting data from sheet...") + self._clear_messages(f"Requesting category data from spreadsheet tab {self.features_tab_name} ...") settings_holder.init_settings_log(LogType.GSHEET_FEATURES) if not settings_holder.loaded(): return @@ -350,6 +350,10 @@ def load_g_sheet(self) -> None: ) self.data_source.set_g_sheet_name(self.g_sheet_name) self.add_feature_content(self.features_tab_name) + gui_log.add_line( + LogType.GSHEET_SELECTION, + f"Requesting people data from spreadsheet tab {self.people_tab_name} ...", + ) self.add_people_content(self.people_tab_name) gui_log.add_line(LogType.GSHEET_SELECTION, "Successfully loaded features and people.") self.update_run_button() From 5ae668b2b63d773c68c9c48b368344dd1f20facd Mon Sep 17 00:00:00 2001 From: Hamish Downer Date: Thu, 30 Oct 2025 15:23:48 +0000 Subject: [PATCH 24/26] update sortition-algorithms package to get fixes and 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be compatible. Also update a few other packages --- pyproject.toml | 8 +- script.py | 38 +-- uv.lock | 705 ++++++++++++++++++++++++++++++------------------- 3 files changed, 456 insertions(+), 295 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c5fb22e..4fe165f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,16 +14,12 @@ dependencies = [ "Eel==0.18.2", "oauth2client<5", "pyinstaller<7", - "sortition-algorithms==0.10.18", + "sortition-algorithms==0.11.5", "toml", ] [dependency-groups] -dev = [ - "pytest>=8.3.4", - "pytest-cov>=6.0.0", - "ruff>=0.9.7", -] +dev = ["pytest>=8.3.4", "pytest-cov>=6.0.0", "ruff>=0.9.7"] [tool.mypy] python_version = "3.12" diff --git a/script.py b/script.py index 7d8d47e..c181572 100644 --- a/script.py +++ b/script.py @@ -194,10 +194,10 @@ def run_selection(self, test_selection: bool) -> None: gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
") try: success, people_selected, report = core.run_stratification( - self.features, - self.people, - self.panel_size_num, - settings_holder.settings, + features=self.features, + people=self.people, + number_people_wanted=self.panel_size_num, + settings=settings_holder.settings, test_selection=test_selection, ) except Exception as err: @@ -212,10 +212,10 @@ def run_selection(self, test_selection: bool) -> None: return try: selected_rows, remaining_rows, _ = core.selected_remaining_tables( - self.people, - people_selected[0], - self.features, - settings_holder.settings, + full_people=self.people, + people_selected=people_selected[0], + features=self.features, + settings=settings_holder.settings, ) if success: self.select_data.output_selected_remaining(selected_rows, remaining_rows, settings_holder.settings) @@ -240,7 +240,11 @@ class GSheetHandler: remaining_tab_name = "Remaining - output - " def __init__(self): - self.data_source = adapters.GSheetDataSource("", "", DEFAULT_AUTH_JSON_PATH) + self.data_source = adapters.GSheetDataSource( + feature_tab_name="", + people_tab_name="", + auth_json_path=DEFAULT_AUTH_JSON_PATH, + ) self.select_data = adapters.SelectionData(self.data_source) self.features: features.FeatureCollection | None = None self.people: people.People | None = None @@ -422,10 +426,10 @@ def run_selection(self, test_selection: bool) -> None: gui_log.reset(LogType.DETAILED_LOG, "Selecting... please wait...
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