import fs from "node:fs";
import path from "node:path";
import { createHash } from "node:crypto";
import { fileURLToPath } from "node:url";

const here = path.dirname(fileURLToPath(import.meta.url));
const root = path.resolve(here, "..");
const seedPath = path.join(root, "research", "seed.json");
const candidatesPath = path.join(root, "research", "candidates.json");
const europeCandidatesPath = path.join(root, "research", "europe_candidates.json");
const officialElectoralDataPath = path.join(root, "research", "official_electoral_data.json");
const extensionsPath = path.join(root, "research", "v0.3_extensions.json");
const locatorsPath = path.join(root, "research", "v0.4_locators.json");
const outDir = path.join(root, "data");
const releaseVersion = "0.4.0";
const seed = JSON.parse(fs.readFileSync(seedPath, "utf8"));
const officialElectoralData = JSON.parse(fs.readFileSync(officialElectoralDataPath, "utf8"));
const extensions = JSON.parse(fs.readFileSync(extensionsPath, "utf8"));
const locatorAudit = JSON.parse(fs.readFileSync(locatorsPath, "utf8"));
const locatorRecords = locatorAudit.locators || {};
const unresolvedLocatorRecords = locatorAudit.unresolved || {};
seed.candidates = [
  ...JSON.parse(fs.readFileSync(candidatesPath, "utf8")),
  ...JSON.parse(fs.readFileSync(europeCandidatesPath, "utf8")),
  ...extensions.additional_candidates
];
Object.assign(seed, officialElectoralData);
seed.cases = [...seed.cases, ...extensions.additional_cases].map((row) => ({
  ...row,
  ...(extensions.case_metadata[row.case_id] || {})
}));
seed.claims = [...seed.claims, ...extensions.additional_claims];
seed.sources = [...seed.sources, ...extensions.additional_sources];
seed.events = [...seed.events, ...extensions.additional_events];
seed.case_sources = [...seed.case_sources, ...extensions.additional_case_sources];
const usElection = seed.official_elections.find((row) => row.election_id === "elec-us-midterms-2026");
if (usElection && !usElection.linked_case_ids.includes("us-ca11-2026-wiener-conniechan-chatbot")) {
  usElection.linked_case_ids += "|us-ca11-2026-wiener-conniechan-chatbot";
}
seed.events = [...seed.events].sort(
  (a, b) => a.event_date.localeCompare(b.event_date) || a.event_id.localeCompare(b.event_id)
);

const schemas = {
  cases: [
    "case_id", "case_family_id", "title", "country", "iso3", "region",
    "election_name", "election_type", "election_date_start", "election_date_end",
    "case_status", "as_of_date", "anchor_case", "record_type", "manipulation_assessment",
    "summary", "actor_controlling_system",
    "actor_type", "actor_attribution_status", "target_population", "influence_vector",
    "platforms", "mechanism_class", "ai_role", "generative_ai_status",
    "affected_state", "control_shift_hypothesis", "hypothesized_power_recipient", "democratic_harm",
    "occurrence_status", "reach_status", "reach_estimate", "reach_unit",
    "behavioural_effect_status", "electoral_effect_status", "institutional_outcome",
    "response", "inclusion_tier", "counterevidence",
    "open_questions", "last_verified"
  ],
  claims: [
    "claim_id", "case_id", "claim_type", "claim_text", "evidence_label",
    "claim_status", "evidence_basis", "evidence_scope",
    "source_ids", "counter_source_ids", "notes", "review_status", "verified_at"
  ],
  sources: [
    "source_id", "title", "publisher", "author", "publication_date", "url",
    "source_type", "primary_secondary", "jurisdiction", "language",
    "source_quality", "source_independence", "method_transparency", "access_status",
    "archive_url", "content_hash", "retrieved_at", "notes"
  ],
  events: [
    "event_id", "case_id", "event_date", "event_type", "description",
    "claim_ids", "source_ids", "event_status"
  ],
  case_sources: [
    "case_id", "source_id", "source_role", "supports_claim_types", "notes"
  ],
  watchlist: [
    "watch_id", "case_id", "jurisdiction", "election_date", "monitoring_window",
    "signal_category", "observable_indicator", "defensive_data_source",
    "assessment_rule", "status", "last_checked", "notes"
  ],
  candidates: [
    "candidate_id", "title", "country", "region", "election_name", "election_date",
    "research_status", "manipulation_class", "ai_role", "generative_ai_status",
    "occurrence_status", "attribution_status", "reach_status",
    "behavioural_effect_status", "electoral_effect_status", "comparative_value",
    "main_caveat", "source_urls", "last_checked"
  ],
  official_elections: [
    "election_id", "case_family_id", "linked_case_ids", "jurisdiction", "iso3",
    "election_name", "contest_type", "round", "election_date", "election_status",
    "legal_result_status", "administering_authority", "geographic_scope",
    "official_source_ids", "as_of_date", "notes"
  ],
  official_turnout: [
    "turnout_id", "election_id", "geographic_unit_type", "geographic_unit_code",
    "geographic_unit_name", "data_status", "electorate_measure", "participation_measure",
    "registered_voters", "ballots_cast", "turnout_numerator", "turnout_numerator_measure",
    "authority_reported_turnout_rate",
    "valid_votes", "invalid_votes", "turnout_rate", "reporting_units_total",
    "reporting_units_counted", "official_source_id", "as_of_date", "notes"
  ],
  official_results: [
    "result_id", "election_id", "geographic_unit_type", "geographic_unit_code",
    "geographic_unit_name", "contest_name", "candidate_or_option",
    "party_or_affiliation", "ballot_designating_entity", "votes", "valid_vote_share", "rank", "outcome", "seats",
    "result_status", "coverage_status", "official_source_id", "as_of_date", "notes"
  ],
  official_data_sources: [
    "official_source_id", "case_family_id", "jurisdiction", "electoral_institution",
    "title", "url", "dataset_role", "data_status", "format",
    "geographic_granularity", "access_method", "update_frequency",
    "license_or_terms", "landing_url", "download_url", "published_or_updated_at",
    "retrieved_at", "content_sha256", "content_bytes", "source_schema_version",
    "snapshot_cutoff", "notes"
  ],
  official_election_metrics: [
    "metric_id", "election_id", "geographic_unit_type", "geographic_unit_code",
    "metric_code", "value", "source_field_code", "source_label_original",
    "numerator_metric", "denominator_metric", "authority_reported_rate", "computed_rate",
    "legal_role", "data_status", "official_source_id", "as_of_date", "notes"
  ],
  research_view: [
    "pathway_id", "case_id", "case_title", "country", "election_date", "record_type",
    "case_status", "manipulation_assessment", "generative_ai_status", "ai_role",
    "system_or_model", "controller", "influence_vector", "target", "agency_dimension",
    "capability_status", "control_mechanism_status", "attempted_transfer_status",
    "agency_change_status", "agency_preservation_status", "maximum_conclusion",
    "hypothesized_power_recipient", "reach_summary", "behavioural_effect",
    "electoral_effect", "case_evidence_summary", "main_uncertainty", "last_verified"
  ],
  case_catalog: [
    "catalog_id", "record_layer", "record_type", "title", "country", "region",
    "election_name", "election_date", "case_status", "manipulation_assessment",
    "ai_role", "generative_ai_status", "evidence_maturity", "incident_count_eligible",
    "research_status", "source_count_or_links", "main_caveat", "last_checked"
  ],
  case_actors: [
    "case_actor_id", "case_id", "actor_name", "actor_role", "actor_type",
    "attribution_status", "control_dimension", "source_claim_ids", "notes"
  ],
  technology_uses: [
    "tech_use_id", "case_id", "provider", "product_or_model", "version",
    "access_type", "technology_role", "use_status", "provenance_status",
    "evidence_label", "source_claim_ids", "notes"
  ],
  content_items: [
    "content_item_id", "case_id", "title", "media_type", "represented_person",
    "communication_goal", "representation_mode", "ai_disclosure", "authorization_status",
    "disclosure_salience", "presentation_mode", "source_claim_ids", "notes"
  ],
  pathways: [
    "pathway_id", "case_id", "agency_dimension", "hypothesized_control_shift_from", "hypothesized_control_shift_to",
    "mechanism", "opacity", "personalization", "contestability", "duration",
    "hypothesized_power_recipient", "potential_harm_pathway", "observed_outcome",
    "capability_status", "control_mechanism_status", "attempted_transfer_status",
    "agency_change_status", "agency_preservation_status", "maximum_conclusion",
    "falsification_condition", "comparator", "observed_evidence", "researcher_inference",
    "assessment_label", "source_claim_ids", "reviewer_note"
  ],
  observations: [
    "observation_id", "case_id", "pathway_id", "claim_id", "metric_family", "metric_name",
    "value_low", "value_best", "value_high", "value_operator", "unit", "denominator",
    "unique_entity_status", "platform", "geographic_scope", "measurement_window",
    "measurement_method", "causal_status", "source_id", "as_of_date", "limitations"
  ],
  model_evaluations: [
    "evaluation_id", "title", "country", "evaluation_window", "election_or_context",
    "systems_tested", "versions_known", "interface", "languages", "sample_unit",
    "sample_size", "design", "primary_metrics", "headline_results", "causal_scope",
    "source_id", "data_availability", "notes"
  ],
  claim_evidence: [
    "claim_evidence_id", "claim_id", "source_id", "relation", "evidence_scope",
    "directness", "locator", "locator_coverage", "locator_note", "extracted_at"
  ],
  analytic_record_claims: [
    "record_claim_id", "record_type", "record_id", "case_id", "claim_id", "relation"
  ],
  case_elections: [
    "case_election_id", "case_id", "election_id", "relation"
  ],
  election_sources: [
    "election_source_id", "election_id", "official_source_id", "source_role"
  ],
  sampling_frame: [
    "frame_id", "region", "selection_basis", "search_status", "search_languages",
    "source_channels", "included_case_count", "candidate_count", "negative_search_recorded",
    "known_gap", "last_searched"
  ],
  coverage_summary: [
    "region", "included_case_count", "candidate_count", "model_evaluation_count", "coverage_note"
  ]
};

function rowsFromArrays(rows, columns) {
  return rows.map((values) => Object.fromEntries(columns.map((column, index) => [column, values[index] ?? ""])));
}

function appendPipe(value, item) {
  const items = new Set(String(value || "").split("|").filter(Boolean));
  items.add(item);
  return [...items].join("|");
}

function regionForCountry(country) {
  const map = {
    Romania: "Europe", Moldova: "Europe", Hungary: "Europe", "United Kingdom": "Europe",
    "European Union": "Europe", Brazil: "South America", Colombia: "South America",
    Ecuador: "South America", Canada: "North America", "United States": "North America",
    Japan: "Asia", Australia: "Oceania", Poland: "Europe"
  };
  if (String(country).includes("|")) return "Cross-national";
  return map[country] || "Other";
}

function canonicalRegion(region) {
  if (["East Asia", "South Asia", "Southeast Asia", "Central Asia", "West Asia"].includes(region)) return "Asia";
  if (["East Africa", "West Africa", "Southern Africa", "North Africa", "Central Africa"].includes(region)) return "Africa";
  return region;
}

const additionalOfficialSources = [
  ["off-ro-2024-ccr-h31", "romania-presidential-2024-2025", "Romania", "Constitutional Court of Romania", "Decision 31 of 2 December 2024 confirming and validating the first-round result", "https://legislatie.just.ro/public/DetaliiDocument/291969", "legal_validation_and_complete_results", "final", "HTML legal record", "national", "landing page", "finalized election record", "official legal record", "2026-08-12", "H31 established the valid first-round order before H32 later voided the entire process."],
  ["off-ro-2025-ccr-h39", "romania-presidential-2024-2025", "Romania", "Constitutional Court of Romania", "Decision 39 of 9 May 2025 confirming and validating the repeat first round", "https://www.ccr.ro/wp-content/uploads/2025/05/Hotarare_39_2025.pdf", "legal_validation_and_complete_results", "final", "PDF", "national", "direct download", "finalized election record", "official legal record", "2026-08-12", "Complete 11-candidate result."],
  ["off-ro-2025-ccr-h43", "romania-presidential-2024-2025", "Romania", "Constitutional Court of Romania", "Decision 43 of 22 May 2025 confirming and validating the second round", "https://www.ccr.ro/wp-content/uploads/2025/05/Hotarare_43_2025.pdf", "legal_validation", "final", "PDF", "national", "direct download", "finalized election record", "official legal record", "2026-08-12", "Second-round confirmation."],
  ["off-ro-2025-ccr-h44", "romania-presidential-2024-2025", "Romania", "Constitutional Court of Romania", "Decision 44 of 22 May 2025 validating the election of Nicușor Dan", "https://www.ccr.ro/wp-content/uploads/2025/05/Hotarare_44_2025.pdf", "winner_validation", "final", "PDF", "national", "direct download", "finalized election record", "official legal record", "2026-08-12", "Validation of president-elect."],
  ["off-md-2024-ref-cc-h24", "moldova-elections-2024-2025", "Moldova", "Constitutional Court of Moldova", "Decision 24 confirming the 2024 constitutional referendum", "https://constcourt.md/ccdocview.php?docid=866&l=ro&tip=hotariri", "legal_validation_and_turnout_definition", "final", "HTML legal record", "national", "landing page", "finalized election record", "official legal record", "2026-08-12", "Defines the referendum validity calculation and confirms adoption."],
  ["off-md-2024-pres-cc-h25", "moldova-elections-2024-2025", "Moldova", "Constitutional Court of Moldova", "Decision 25 confirming the 2024 presidential election", "https://constcourt.md/ccdocview.php?docid=867&l=ro&tip=hotariri", "legal_validation_complete_results_and_turnout_definition", "final", "HTML legal record", "national", "landing page", "finalized election record", "official legal record", "2026-08-12", "Distinguishes protocol fields C and D and confirms both rounds."],
  ["off-md-2025-cec-h4149", "moldova-elections-2024-2025", "Moldova", "Central Electoral Commission of Moldova", "Decision 4149 centralizing the 28 September 2025 parliamentary results", "https://a.cec.md/index.php/ro/cu-privire-la-centralizarea-rezultatelor-alegerilor-parlamentare-din-28-septembr-2751_115473.html", "turnout_and_complete_results_landing", "final", "HTML with attachments", "national and precinct", "landing page", "finalized election record", "official record", "2026-08-12", "Pairs the opaque workbook download with its decision page."],
  ["off-md-2025-cec-h4151", "moldova-elections-2024-2025", "Moldova", "Central Electoral Commission of Moldova", "Decision 4151 allocating parliamentary mandates", "https://a.cec.md/index.php/ro/cu-privire-la-atribuirea-mandatelor-de-deputat-in-parlamentul-republicii-2751_115476.html", "seat_allocation", "final", "HTML with attachments", "national", "landing page", "finalized election record", "official record", "2026-08-12", "Official seat allocation."],
  ["off-md-2025-cc-h12", "moldova-elections-2024-2025", "Moldova", "Constitutional Court of Moldova", "Decision 12 of 16 October 2025 confirming legality and validating 101 mandates", "https://constcourt.md/ccdocview.php?docid=882&l=ro&tip=hotariri", "legal_validation_and_mandates", "final", "HTML legal record", "national", "landing page", "finalized election record", "official legal record", "2026-08-12", "Confirms the election and validates 101 mandates."],
  ["off-br-2026-contests", "brazil-general-2026", "Brazil", "Superior Electoral Court", "Resolution 23.751/2026 on offices contested and voting rules", "https://www.tse.jus.br/legislacao/compilada/res/2026/resolucao-no-23-751-de-26-de-fevereiro-de-2026", "contest_definition", "current", "HTML legal record", "national and state", "landing page", "election cycle", "official legal record", "2026-08-12", "Second round applies only to president and governors when required."],
  ["off-us-congress-election-law", "us-midterms-2026", "United States", "United States Congress", "2 U.S.C. sections 1 and 7: congressional election timing", "https://uscode.house.gov/view.xhtml?edition=prelim&num=0&req=granuleid%3AUSC-prelim-title2-section7", "contest_timing_context", "current", "HTML legal code", "federal and state/district", "landing page", "statutory", "public law", "2026-08-12", "The national date bundles separate House, Senate and special contests administered and certified by states."],
  ["off-nh-2024-primary-law", "new-hampshire-biden-robocall-2024", "New Hampshire", "New Hampshire General Court", "RSA 659:73 and RSA 654:34 primary counting and undeclared-voter context", "https://gc.nh.gov/rsa/html/LXIII/659/659-73.htm", "denominator_and_counting_context", "current", "HTML legal code", "state", "landing page", "statutory", "public law", "2026-08-12", "Explains why the all-party checklist is not a Democratic-primary turnout denominator."],
  ["off-nh-2024-dnc-status", "new-hampshire-biden-robocall-2024", "New Hampshire", "New Hampshire Department of Justice", "Unlawful Voter Suppression Cease and Desist Order", "https://www.doj.nh.gov/news-and-media/unlawful-voter-suppression-cease-and-desist-order", "institutional_primary_and_delegate_status", "final", "HTML official statement", "state", "landing page", "finalized election record", "official state statement", "2026-08-12", "Documents the institutional dispute and that the DNC did not award delegates from the 23 January state-run result; do not describe the election as legally nonexistent or infer a delegate allocation from its vote tally."]
].map((values) => {
  const oldColumns = ["official_source_id", "case_family_id", "jurisdiction", "electoral_institution", "title", "url", "dataset_role", "data_status", "format", "geographic_granularity", "access_method", "update_frequency", "license_or_terms", "retrieved_at", "notes"];
  const row = Object.fromEntries(oldColumns.map((column, index) => [column, values[index] ?? ""]));
  return { ...row, landing_url: row.url, download_url: /direct.*download/i.test(row.access_method) ? row.url : "", published_or_updated_at: "", content_sha256: "", content_bytes: "", source_schema_version: "", snapshot_cutoff: "2026-08-12" };
});
seed.official_data_sources.push(...additionalOfficialSources);
seed.official_data_sources = seed.official_data_sources.map((row) => ({
  ...row,
  landing_url: row.landing_url || row.url,
  download_url: row.download_url || (/direct.*download/i.test(row.access_method || "") ? row.url : ""),
  published_or_updated_at: row.published_or_updated_at || "",
  content_sha256: row.content_sha256 || "",
  content_bytes: row.content_bytes || "",
  source_schema_version: row.source_schema_version || "",
  snapshot_cutoff: row.snapshot_cutoff || "2026-08-12"
}));

const officialSourceById = new Map(seed.official_data_sources.map((row) => [row.official_source_id, row]));
const oldH32 = officialSourceById.get("off-ro-2024-ccr-annulment");
if (oldH32) {
  oldH32.url = "https://legislatie.just.ro/Public/DetaliiDocumentAfis/292099";
  oldH32.title = "Decision 32 of 6 December 2024 voiding the entire presidential electoral process";
}

for (const election of seed.official_elections) {
  if (election.election_id === "elec-ro-pres-2024-r1") {
    election.legal_result_status = "validated_then_void";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-ro-2024-ccr-h31");
    election.notes = "H31 first confirmed and validated the final first-round tally; H32 subsequently voided the entire process. Preserve final tally, validation, and process status separately.";
  }
  if (election.election_id === "elec-ro-pres-2025-r1") {
    election.legal_result_status = "CCR_confirmed_and_validated_2025-05-09";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-ro-2025-ccr-h39");
  }
  if (election.election_id === "elec-ro-pres-2025-r2") {
    election.legal_result_status = "CCR_confirmed_and_president_elected_2025-05-22";
    election.official_source_ids = appendPipe(appendPipe(election.official_source_ids, "off-ro-2025-ccr-h43"), "off-ro-2025-ccr-h44");
  }
  if (election.election_id === "elec-md-pres-2024-r1" || election.election_id === "elec-md-pres-2024-r2") {
    election.legal_result_status = "CEC_final_and_Constitutional_Court_confirmed";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-md-2024-pres-cc-h25");
  }
  if (election.election_id === "elec-md-referendum-2024") {
    election.legal_result_status = "law_adopted_and_Constitutional_Court_confirmed";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-md-2024-ref-cc-h24");
    election.notes = "Question: Susțineți modificarea Constituției în vederea aderării Republicii Moldova la Uniunea Europeană? Validity threshold: one third; law adopted and confirmed.";
  }
  if (election.election_id === "elec-md-parl-2025") {
    election.legal_result_status = "CEC_valid_Constitutional_Court_confirmed_101_mandates";
    election.official_source_ids = appendPipe(appendPipe(appendPipe(election.official_source_ids, "off-md-2025-cec-h4149"), "off-md-2025-cec-h4151"), "off-md-2025-cc-h12");
  }
  if (election.election_id === "elec-br-general-2026-r1") {
    election.contest_type = "election_bundle";
    election.election_name = "Brazil 2026 first-round election bundle";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-br-2026-contests");
    election.notes = "4 October bundles president, 27 governors, two Senate choices per elector, Chamber of Deputies, state assemblies and the Federal District chamber. Candidate files before the 15 August filing deadline are incomplete snapshots, not ballot qualification.";
  }
  if (election.election_id === "elec-br-general-2026-r2") {
    election.contest_type = "conditional_executive_runoffs";
    election.election_name = "Brazil 2026 conditional presidential and gubernatorial runoffs";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-br-2026-contests");
    election.notes = "25 October is limited to president and governors requiring a runoff; it is not a second round for legislative contests.";
  }
  if (election.election_id === "elec-us-midterms-2026") {
    election.contest_type = "election_bundle";
    election.round = "varies_by_jurisdiction";
    election.election_name = "United States 2026 federal election bundle";
    election.administering_authority = "state and local election authorities; no single national certifier";
    election.official_source_ids = appendPipe(election.official_source_ids, "off-us-congress-election-law");
    election.notes = "Not one national contest: 435 House districts, Senate Class II and special/delegate contests are administered and certified by states; some jurisdictions can hold later runoffs. FEC files are calendar/finance snapshots, not ballot-access or result certification.";
  }
  if (election.election_id === "elec-us-nh-dem-primary-2024") {
    election.official_source_ids = appendPipe(appendPipe(election.official_source_ids, "off-nh-2024-primary-law"), "off-nh-2024-dnc-status");
    election.notes = "The 23 January event was a state-run primary with a final state tally, but the DNC did not award delegates from that result. The tally therefore has delegate_effect=none_from_Jan23_results. The all-party checklist is not a valid Democratic-primary turnout denominator because undeclared voters may choose a party ballot and same-day registration or party changes occur.";
  }
}

const mdTurnout = {
  "turnout-md-2024-r1-national": { A: 2710856, B: 312650, C: 1564758, D: 1564495, E: 263, F: 18464, H: 1546031, rate: 0.517530972322, reported: 0.5175, numerator: "C", source: "off-md-2024-pres-cc-h25", note: "The protocol distinguishes voters receiving ballots (C) from voters participating (D); the Constitutional Court applied C/(A+B) to the one-third validity threshold." },
  "turnout-md-2024-referendum-national": { A: 2711615, B: 309199, C: 1532264, D: 1531392, E: 872, F: 42518, H: 1488874, rate: 0.507235466997, reported: 0.5072, numerator: "C", source: "off-md-2024-ref-cc-h24", note: "The protocol distinguishes voters receiving ballots (C) from voters participating (D); the Constitutional Court applied C/(A+B) to the one-third validity threshold." },
  "turnout-md-2024-r2-national": { A: 2709867, B: 423820, C: 1701333, D: 1701284, E: 49, F: 20715, H: 1680569, rate: 0.542917336671, reported: 0.5429, numerator: "C", source: "off-md-2024-pres-cc-h25", note: "The protocol distinguishes voters receiving ballots (C) from voters participating (D); the Constitutional Court applied C/(A+B) to the one-fifth validity threshold." },
  "turnout-md-2025-parliament-national": { A: 2738735, B: 342244, C: 1609715, D: 1609579, E: 136, F: 30857, H: 1578722, I: 3662273, J: 2052558, rate: 0.522424528048, reported: 0.5224, numerator: "D", source: "off-md-2025-cec-h4149", note: "CEC declared the election valid on 5 October 2025; the Constitutional Court confirmed legality and 101 mandates on 16 October. For this election the official 52.24% rate uses D/(A+B)." }
};
for (const row of seed.official_turnout) {
  row.turnout_numerator = row.ballots_cast;
  row.turnout_numerator_measure = row.participation_measure;
  row.authority_reported_turnout_rate = row.turnout_rate;
  const exact = mdTurnout[row.turnout_id];
  if (exact) {
    row.electorate_measure = "post-election protocol fields A+B: basic-list plus supplementary-list electors; not a conventional fixed ex-ante register";
    row.participation_measure = "protocol field D: voters who participated";
    row.registered_voters = exact.A + exact.B;
    row.ballots_cast = exact.D;
    row.turnout_numerator = exact[exact.numerator];
    row.turnout_numerator_measure = `protocol field ${exact.numerator}: ${exact.numerator === "C" ? "voters receiving ballots" : "voters who participated"}`;
    row.valid_votes = exact.H;
    row.invalid_votes = exact.F;
    row.turnout_rate = exact.rate;
    row.authority_reported_turnout_rate = exact.reported;
    row.notes = `${exact.note} C=${exact.C}; D=${exact.D}; E=C-D=${exact.E}.`;
  }
  if (row.turnout_id === "turnout-nh-2024-dem-primary-state") {
    row.notes += " Official contest votes were 123,996, leaving a 1,815 ballot-minus-contest-vote gap that the source does not classify as invalid or undervote.";
  }
  if (row.turnout_id === "electorate-br-2026-audited-national") {
    row.electorate_measure = "official eligible electorate published by TSE after registration closed";
  }
}

const metricRows = [];
function addMetric(electionId, geoType, geoCode, code, value, sourceCode, label, numerator, denominator, reported, computed, legalRole, status, sourceId, notes = "") {
  metricRows.push({ metric_id: `metric-${electionId}-${code.toLowerCase().replaceAll(/[^a-z0-9]+/g, "-")}`, election_id: electionId, geographic_unit_type: geoType, geographic_unit_code: geoCode, metric_code: code, value, source_field_code: sourceCode, source_label_original: label, numerator_metric: numerator, denominator_metric: denominator, authority_reported_rate: reported, computed_rate: computed, legal_role: legalRole, data_status: status, official_source_id: sourceId, as_of_date: "2026-08-12", notes });
}
for (const row of seed.official_turnout.filter((item) => !mdTurnout[item.turnout_id])) {
  if (row.registered_voters !== "") addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "registered_voters", row.registered_voters, "", row.electorate_measure, "", "", "", "", "context_or_denominator", row.data_status, row.official_source_id, row.notes);
  if (row.ballots_cast !== "") addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "ballots_cast", row.ballots_cast, "", row.participation_measure, "", "", "", "", "participation", row.data_status, row.official_source_id, row.notes);
  if (row.valid_votes !== "") addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "valid_votes", row.valid_votes, "", "valid contest votes", "", "", "", "", "result_denominator", row.data_status, row.official_source_id);
  if (row.turnout_rate !== "") addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "turnout_rate", row.turnout_rate, "", "turnout rate", "turnout_numerator", "registered_voters", row.authority_reported_turnout_rate, row.turnout_rate, "reported_participation_rate", row.data_status, row.official_source_id, row.notes);
}
for (const row of seed.official_turnout.filter((item) => mdTurnout[item.turnout_id])) {
  const m = mdTurnout[row.turnout_id];
  const labels = { A: "electors on basic lists", B: "electors on supplementary lists", C: "electors who received ballots", D: "electors who participated", E: "received ballots minus participated", F: "invalid ballots", H: "valid votes", I: "printed ballots", J: "unused and cancelled ballots" };
  for (const code of ["A", "B", "C", "D", "E", "F", "H", "I", "J"]) {
    if (m[code] !== undefined) addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, code, m[code], code, labels[code], "", "", "", "", code === m.numerator ? "legal_turnout_numerator" : "protocol_component", row.data_status, m.source, row.notes);
  }
  addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "A_plus_B", m.A + m.B, "A+B", "post-election protocol denominator", "", "", "", "", "legal_turnout_denominator", row.data_status, m.source, row.notes);
  addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "legal_turnout_rate", m.rate, "", "legal turnout rate", m.numerator, "A+B", m.reported, m.rate, "legal_validity_rate", row.data_status, m.source, row.notes);
  addMetric(row.election_id, row.geographic_unit_type, row.geographic_unit_code, "participation_rate_D", m.D / (m.A + m.B), "", "D/(A+B)", "D", "A+B", m.numerator === "D" ? m.reported : "", m.D / (m.A + m.B), "descriptive_participation_rate", row.data_status, m.source, row.notes);
}
addMetric("elec-us-nh-dem-primary-2024", "state", "US-NH", "presidential_contest_votes", 123996, "", "votes counted for the Democratic presidential contest", "", "", "", "", "contest_total", "final", "off-nh-2024-dem-results", "The 1,815 gap from Democratic ballots cast is not classified by the source.");
addMetric("elec-us-nh-dem-primary-2024", "state", "US-NH", "ballot_minus_contest_vote_gap", 1815, "", "Democratic ballots cast minus presidential contest votes", "", "", "", "", "unclassified_gap", "final", "off-nh-2024-dem-results", "Do not relabel as invalid or undervote without an official classification.");
seed.official_election_metrics = metricRows;

const resultTotals = { "elec-ro-pres-2024-r1": 9242186, "elec-ro-pres-2025-r1": 9430274, "elec-md-pres-2024-r1": 1546031, "elec-md-parl-2025": 1578722 };
for (const row of seed.official_results) {
  row.ballot_designating_entity = row.ballot_designating_entity || "";
  row.seats = row.seats ?? "";
  if (["elec-ro-pres-2024-r1", "elec-ro-pres-2025-r1", "elec-md-pres-2024-r1", "elec-md-parl-2025"].includes(row.election_id)) row.coverage_status = "complete_national_contest";
  if (row.election_id === "elec-ro-pres-2024-r1") row.result_status = "final_tally_validated_then_process_void";
  if (row.election_id === "elec-ro-pres-2025-r1") row.result_status = "CCR_confirmed_and_validated";
  if (row.election_id === "elec-ro-pres-2025-r2") row.result_status = "CCR_confirmed_and_validated";
  if (row.election_id.startsWith("elec-md-")) row.result_status = "CEC_final_and_Constitutional_Court_confirmed";
  if (row.result_id === "result-md24r1-maia-sandu") { row.party_or_affiliation = ""; row.ballot_designating_entity = "PAS"; }
  if (row.result_id === "result-md24r1-alexandr-stoianoglo") { row.party_or_affiliation = ""; row.ballot_designating_entity = "PSRM"; }
  if (row.result_id === "result-md24r2-maia-sandu") { row.party_or_affiliation = ""; row.ballot_designating_entity = "PAS"; }
  if (row.result_id === "result-md24r2-alexandr-stoianoglo") { row.party_or_affiliation = ""; row.ballot_designating_entity = "PSRM"; }
  if (row.coverage_status === "complete_national_contest" && /Top-(?:three|five) extract|Top-five vote extract/i.test(row.notes || "")) {
    row.notes = "Complete national contest field in this release.";
  }
}

const extraResults = [];
function addResult(id, electionId, name, affiliation, designator, votes, rank, outcome, seats, sourceId, notes = "") {
  const total = resultTotals[electionId];
  extraResults.push({ result_id: id, election_id: electionId, geographic_unit_type: "national", geographic_unit_code: electionId.includes("ro-") ? "ROU" : "MDA", geographic_unit_name: electionId.includes("ro-") ? "Romania" : "Moldova", contest_name: electionId.includes("parl") ? "Parliamentary election" : "Presidential election", candidate_or_option: name, party_or_affiliation: affiliation, ballot_designating_entity: designator, votes, valid_vote_share: total && votes ? votes / total : votes === 0 ? 0 : "", rank, outcome, seats, result_status: electionId === "elec-ro-pres-2024-r1" ? "final_tally_validated_then_process_void" : electionId === "elec-ro-pres-2025-r1" ? "CCR_confirmed_and_validated" : "CEC_final_and_Constitutional_Court_confirmed", coverage_status: "complete_national_contest", official_source_id: sourceId, as_of_date: "2026-08-12", notes });
}
[
  ["simion", "George-Nicolae Simion", "AUR", 1281325], ["ciuca", "Nicolae-Ionel Ciucă", "PNL", 811952], ["geoana", "Mircea-Dan Geoană", "independent", 583898], ["kelemen", "Hunor Kelemen", "UDMR", 416353], ["diaconescu", "Cristian Diaconescu", "independent", 286842], ["terhes", "Cristian-Vasile Terheș", "PNCR", 95782], ["birchall", "Ana Birchall", "independent", 42853], ["orban", "Ludovic Orban", "Forța Dreptei", 20089], ["popescu", "Sebastian-Constantin Popescu", "Partidul Noua Românie", 14683], ["bertalan", "Alexandra-Beatrice Bertalan-Păcuraru", "Alternativa pentru Demnitate Națională", 14502], ["predoiu", "Silviu Predoiu", "Partidul Liga Acțiunii Naționale", 11246]
].forEach(([slug, name, party, votes], index) => addResult(`result-ro24-${slug}`, "elec-ro-pres-2024-r1", name, party, "", votes, index + 4, "not_advanced_before_annulment", "", "off-ro-2024-ccr-h31", "Final tally first validated by H31, then the process was voided by H32."));
[
  ["ponta", "Victor-Viorel Ponta", "independent", 1230164], ["lasconi", "Elena-Valerica Lasconi", "USR", 252721], ["sandru", "Marcela-Lavinia Șandru", "PUSL", 60682], ["funeriu", "Petru-Daniel Funeriu", "independent", 49604], ["terhes", "Cristian-Vasile Terheș", "PNCR", 36445], ["popescu", "Sebastian-Constantin Popescu", "Partidul Noua Românie", 25994], ["banu", "John-Ion Banu-Muscel", "independent", 22020], ["predoiu", "Silviu Predoiu", "Partidul Liga Acțiunii Naționale", 17186]
].forEach(([slug, name, party, votes], index) => addResult(`result-ro25r1-${slug}`, "elec-ro-pres-2025-r1", name, party, "", votes, index + 4, "not_advanced", "", "off-ro-2025-ccr-h39"));
[
  ["vlah", "Irina Vlah", "independent", "", 83193], ["furtuna", "Victoria Furtună", "independent", "", 68778], ["tarlev", "Vasile Tarlev", "", "Partidul pentru Viitorul Moldovei", 49316], ["chicu", "Ion Chicu", "", "Partidul Dezvoltării și Consolidării Moldovei", 31797], ["ticu", "Octavian Țîcu", "", "Blocul Electoral Împreună", 14326], ["nastase", "Andrei Năstase", "independent", "", 9946], ["morari", "Natalia Morari", "independent", "", 9444], ["ulianovschi", "Tudor Ulianovschi", "independent", "", 7995]
].forEach(([slug, name, party, designator, votes], index) => addResult(`result-md24r1-${slug}`, "elec-md-pres-2024-r1", name, party, designator, votes, index + 4, "not_advanced", "", "off-md-2024-pres-cc-h25"));

const mdSeats = {
  "result-mdparl-pas": ["Partidul Acțiune și Solidaritate (PAS)", 55, "gained_seats"],
  "result-mdparl-patriotic-bloc": ["Blocul Electoral Patriotic al Socialiștilor, Comuniștilor, Inima și Viitorul Moldovei", 26, "gained_seats"],
  "result-mdparl-alternative-bloc": ["Blocul Electoral Alternativa", 8, "gained_seats"],
  "result-mdparl-our-party": ["Partidul Nostru", 6, "gained_seats"],
  "result-mdparl-democracy-at-home": ["Partidul Democrația Acasă", 6, "gained_seats"]
};
for (const row of seed.official_results) {
  if (mdSeats[row.result_id]) {
    [row.candidate_or_option, row.seats, row.outcome] = mdSeats[row.result_id];
    row.official_source_id = "off-md-2025-cec-h4151";
  }
}
[
  ["psde", "Partidul Social Democrat European", 15060, 6], ["andrei-nastase", "Andrei Năstase", 13420, 7], ["cub", "Coaliția pentru Unitate și Bunăstare", 13314, 8], ["respect", "Respect Moldova", 10144, 9], ["loc", "Liga Orașelor și Comunelor", 6120, 10], ["stamate", "Olesea Stamate", 5257, 11], ["impreuna", "Blocul Electoral Împreună", 5030, 12], ["pnm", "Partidul Național Moldovenesc", 4813, 13], ["alde", "ALDE", 3576, 14], ["moldovenii", "Alianța Moldovenii", 3509, 15], ["sanduta", "Victoria Sanduța", 2862, 16], ["ucs", "Uniunea Creștin-Socială", 1837, 17], ["aur", "AUR", 1604, 18], ["cretu", "Tatiana Crețu", 1598, 19], ["liberal", "Partidul Liberal", 1591, 20], ["noi", "Noua Opțiune Istorică", 1412, 21], ["bun", "Blocul Unirea Națiunii", 797, 22]
].forEach(([slug, name, votes, rank]) => addResult(`result-mdparl-${slug}`, "elec-md-parl-2025", name, name.includes("Andrei") || name.includes("Olesea") || name.includes("Victoria") || name.includes("Tatiana") ? "independent" : "", "", votes, rank, "no_seats", 0, "off-md-2025-cec-h4151"));
addResult("result-mdparl-moldova-mare", "elec-md-parl-2025", "Partidul Moldova Mare", "", "", 0, "", "excluded_ballots_invalidated", 0, "off-md-2025-cec-h4151", "Registered competitor; zero valid votes after ballots were invalidated. One Tokyo vote was reclassified invalid according to the official record.");
seed.official_results.push(...extraResults);

const claimSemantics = {
  established_evidence: ["supported_as_worded", "supported_as_worded"],
  established_as_campaign_report: ["supported_as_attributed_measurement", "attributed_measurement_only"],
  strong_inference: ["partly_supported", "inferential_synthesis"],
  researcher_hypothesis: ["hypothesis_not_tested", "not_tested"],
  not_identified_in_declared_review: ["not_identified_in_declared_review", "review_bounded_absence"],
  open_question: ["unresolved", "none"]
};
const assertionClaimIds = new Set([
  "clm-ro-002", "clm-ro-005", "clm-ro-011", "clm-ro-013",
  "clm-md-004", "clm-md-005", "clm-md-007", "clm-md-008", "clm-md-012", "clm-md-014",
  "clm-br-012", "clm-br-015", "clm-br-019",
  "clm-us26-004", "clm-us26-006",
  "clm-usca11-003", "clm-usca11-006"
]);
function evidenceScopeForClaim(claim) {
  if (assertionClaimIds.has(claim.claim_id)) return "assertion_was_made";
  if (["strong_inference", "researcher_hypothesis"].includes(claim.evidence_label)) return "researcher_inference";
  if (claim.evidence_label === "not_identified_in_declared_review") return "review_scope_statement";
  if (claim.claim_type === "reach") return "measurement";
  if (claim.claim_type === "response") return "institutional_action";
  if (claim.evidence_label === "open_question") return "researcher_inference";
  return "underlying_fact";
}
seed.claims = seed.claims.map((claim) => {
  const semantics = claimSemantics[claim.evidence_label];
  if (!semantics) throw new Error(`Unknown evidence label in ${claim.claim_id}: ${claim.evidence_label}`);
  return {
    ...claim,
    claim_status: semantics[0],
    evidence_basis: semantics[1],
    evidence_scope: evidenceScopeForClaim(claim)
  };
});

const claimTypesByCase = new Map();
for (const claim of seed.claims) {
  if (!claimTypesByCase.has(claim.case_id)) claimTypesByCase.set(claim.case_id, new Set());
  claimTypesByCase.get(claim.case_id).add(claim.claim_type);
}
seed.case_sources = seed.case_sources.map((link) => {
  const availableTypes = claimTypesByCase.get(link.case_id) || new Set();
  const declaredTypes = String(link.supports_claim_types || "").split("|").filter(Boolean);
  const supportedTypes = declaredTypes.filter((type) => availableTypes.has(type));
  const removedTypes = declaredTypes.filter((type) => !availableTypes.has(type));
  return {
    ...link,
    supports_claim_types: supportedTypes.join("|"),
    notes: removedTypes.length
      ? `${link.notes ? `${link.notes} ` : ""}Contextual source roles not represented by an atomic claim in this release were omitted from supports_claim_types: ${removedTypes.join("|")}.`
      : link.notes
  };
});

seed.sources = seed.sources.map((source) => {
  const interestedTypes = /campaign|platform|provider|party/.test(source.source_type);
  const reproducibleTypes = /model_evaluation|peer_reviewed|dataset|methodology/.test(source.source_type);
  return {
    ...source,
    source_independence: source.source_independence || (interestedTypes ? "interested_or_mixed" : source.primary_secondary === "primary" ? "independent_or_official" : "independent_secondary"),
    method_transparency: source.method_transparency || (reproducibleTypes ? "sufficiently_described_or_reproducible" : /official|legal|regulatory/.test(source.source_type) ? "not_applicable_official_record" : "limited_to_published_account"),
    access_status: source.access_status || "public_url_at_cutoff",
    archive_url: source.archive_url || "",
    content_hash: source.content_hash || ""
  };
});

seed.case_actors = rowsFromArrays(extensions.case_actors, schemas.case_actors);
seed.technology_uses = rowsFromArrays(extensions.technology_uses, schemas.technology_uses);
seed.content_items = rowsFromArrays(extensions.content_items, schemas.content_items);
seed.pathways = rowsFromArrays(extensions.control_shift_assessments, schemas.pathways);
seed.model_evaluations = rowsFromArrays(extensions.model_evaluations, schemas.model_evaluations);
for (const actor of seed.case_actors) {
  if (actor.case_actor_id === "act-usca11-chan" && actor.attribution_status === "established") {
    actor.attribution_status = "credibly_reported";
  }
}

const pathwayByCase = new Map(seed.pathways.map((row) => [row.case_id, row.pathway_id]));
const caseById = new Map(seed.cases.map((row) => [row.case_id, row]));
const metricFamily = (name) => /view|impression|reach|audience/.test(name) ? "exposure_or_distribution" : /account|page|post|video|question|call|message|asset|content/.test(name) ? "production_or_engagement" : /fine|charge|removal|deadline|response/.test(name) ? "institutional_response" : "descriptive_context";
seed.observations = extensions.quantitative_observations.map((values) => {
  const [observation_id, case_id, claim_id, metric_name, value_best, value_operator, platform, measurement_window, denominator, unique_entity_status, causalRaw, measurement_method, source_id, limitations] = values;
  const exact = ["exact", "exact_report", "exact_campaign_report"].includes(value_operator);
  const atLeast = String(value_operator).startsWith("at_least");
  return { observation_id, case_id, pathway_id: pathwayByCase.get(case_id) || "", claim_id, metric_family: metricFamily(metric_name), metric_name, value_low: exact || atLeast ? value_best : "", value_best, value_high: exact ? value_best : "", value_operator, unit: metric_name, denominator, unique_entity_status, platform, geographic_scope: caseById.get(case_id)?.country || "", measurement_window, measurement_method, causal_status: causalRaw === "yes" ? "causal_estimate_limited" : "descriptive_only", source_id, as_of_date: caseById.get(case_id)?.last_verified || "2026-08-12", limitations };
});

const sourceById = new Map(seed.sources.map((row) => [row.source_id, row]));
for (const [sourceId, replacement] of Object.entries(locatorAudit.source_replacements || {})) {
  const source = sourceById.get(sourceId);
  if (!source) throw new Error(`Locator audit source replacement is unknown: ${sourceId}`);
  if (source.url !== replacement.url) throw new Error(`Locator audit source replacement was not applied: ${sourceId}`);
}
seed.claim_evidence = [];
const generatedLocatorKeys = new Set();
for (const claim of seed.claims) {
  const evidenceScope = claim.evidence_scope;
  for (const [sourceRelation, ids] of [["supports", claim.source_ids], ["counterevidence", claim.counter_source_ids]]) {
    for (const sourceId of String(ids || "").split("|").filter(Boolean)) {
      const relation = sourceRelation === "supports" && evidenceScope === "researcher_inference" ? "premise" : sourceRelation;
      const source = sourceById.get(sourceId);
      const directness = source?.primary_secondary === "primary" ? (/official|legal|regulatory|court/.test(source.source_type) ? "official_record_or_allegation" : "firsthand_artifact_or_measurement") : "independent_secondary_reporting";
      const locatorKey = `${claim.claim_id}|${sourceId}|${relation}`;
      if (generatedLocatorKeys.has(locatorKey)) throw new Error(`Duplicate claim-evidence locator key: ${locatorKey}`);
      generatedLocatorKeys.add(locatorKey);
      const locatorRecord = locatorRecords[locatorKey];
      const unresolvedLocatorRecord = unresolvedLocatorRecords[locatorKey];
      if (Boolean(locatorRecord) === Boolean(unresolvedLocatorRecord)) {
        throw new Error(`Locator audit must classify exactly once: ${locatorKey}`);
      }
      const locator = locatorRecord?.locator || "";
      const locator_coverage = locatorRecord?.coverage || "not_verified";
      const locator_note = unresolvedLocatorRecord?.reason || "";
      seed.claim_evidence.push({ claim_evidence_id: `ce-${claim.claim_id}-${sourceId}-${relation}`, claim_id: claim.claim_id, source_id: sourceId, relation, evidence_scope: evidenceScope, directness, locator, locator_coverage, locator_note, extracted_at: claim.verified_at });
    }
  }
}
for (const locatorKey of [...Object.keys(locatorRecords), ...Object.keys(unresolvedLocatorRecords)]) {
  if (!generatedLocatorKeys.has(locatorKey)) throw new Error(`Locator audit key is not present in generated claim evidence: ${locatorKey}`);
}

seed.analytic_record_claims = [];
for (const [recordType, table, idField] of [
  ["case_actor", seed.case_actors, "case_actor_id"],
  ["technology_use", seed.technology_uses, "tech_use_id"],
  ["content_item", seed.content_items, "content_item_id"],
  ["pathway", seed.pathways, "pathway_id"],
  ["event", seed.events, "event_id"]
]) {
  for (const record of table) {
    for (const claimId of String(record.source_claim_ids || record.claim_ids || "").split("|").filter(Boolean)) {
      seed.analytic_record_claims.push({ record_claim_id: `record-claim-${recordType}-${record[idField]}-${claimId}`, record_type: recordType, record_id: record[idField], case_id: record.case_id, claim_id: claimId, relation: "supports_coding" });
    }
  }
}

seed.case_elections = [];
seed.election_sources = [];
for (const election of seed.official_elections) {
  for (const caseId of String(election.linked_case_ids || "").split("|").filter(Boolean)) {
    seed.case_elections.push({ case_election_id: `case-election-${caseId}-${election.election_id}`, case_id: caseId, election_id: election.election_id, relation: election.election_status === "scheduled" || election.election_status === "conditional" ? "future_or_campaign_context" : "primary_or_institutional_context" });
  }
  for (const sourceId of String(election.official_source_ids || "").split("|").filter(Boolean)) {
    seed.election_sources.push({ election_source_id: `election-source-${election.election_id}-${sourceId}`, election_id: election.election_id, official_source_id: sourceId, source_role: "supports_election_context_or_status" });
  }
}

function evidenceForCase(caseId) {
  const item = caseById.get(caseId);
  if (item?.record_type === "preparedness_file") return "governance_context_not_incident";
  const claims = seed.claims.filter((claim) => claim.case_id === caseId);
  const occurrenceSupported = claims.some((claim) => ["occurrence", "mechanism", "ai_role"].includes(claim.claim_type) && claim.claim_status === "supported_as_worded");
  const outcomeSupported = claims.some((claim) => ["behavioural_effect", "electoral_effect"].includes(claim.claim_type) && claim.claim_status === "supported_as_worded");
  if (occurrenceSupported && !outcomeSupported) return "occurrence_supported_agency_effect_not_established";
  if (occurrenceSupported && outcomeSupported) return "occurrence_and_bounded_outcome_supported";
  return "mixed_or_unresolved";
}
function reachForCase(caseId) {
  const rows = seed.observations.filter((row) => row.case_id === caseId).slice(0, 2);
  if (!rows.length) return "No typed population-reach estimate";
  return rows.map((row) => `${Number(row.value_best).toLocaleString("en-US")} ${row.unit}; ${row.measurement_method}; ${row.unique_entity_status}; ${row.measurement_window}`).join(" | ");
}
seed.research_view = seed.pathways.map((pathway) => {
  const item = caseById.get(pathway.case_id);
  const tech = seed.technology_uses.filter((row) => row.case_id === pathway.case_id).map((row) => [row.provider, row.product_or_model].filter(Boolean).join(": ")).join(" | ") || "not identified or not applicable";
  return {
    pathway_id: pathway.pathway_id,
    case_id: item.case_id,
    case_title: item.title,
    country: item.country,
    election_date: item.election_date_start,
    record_type: item.record_type,
    case_status: item.case_status,
    manipulation_assessment: item.manipulation_assessment,
    generative_ai_status: item.generative_ai_status,
    ai_role: item.ai_role,
    system_or_model: tech,
    controller: item.actor_controlling_system,
    influence_vector: item.influence_vector,
    target: item.target_population,
    agency_dimension: pathway.agency_dimension,
    capability_status: pathway.capability_status,
    control_mechanism_status: pathway.control_mechanism_status,
    attempted_transfer_status: pathway.attempted_transfer_status,
    agency_change_status: pathway.agency_change_status,
    agency_preservation_status: pathway.agency_preservation_status,
    maximum_conclusion: pathway.maximum_conclusion,
    hypothesized_power_recipient: pathway.hypothesized_power_recipient,
    reach_summary: reachForCase(item.case_id),
    behavioural_effect: item.behavioural_effect_status,
    electoral_effect: item.electoral_effect_status,
    case_evidence_summary: evidenceForCase(item.case_id),
    main_uncertainty: item.open_questions,
    last_verified: item.last_verified
  };
});

const sourceCountByCase = new Map();
for (const link of seed.case_sources) sourceCountByCase.set(link.case_id, (sourceCountByCase.get(link.case_id) || 0) + 1);
seed.case_catalog = [
  ...seed.cases.map((row) => ({ catalog_id: row.case_id, record_layer: "claim_coded_core", record_type: row.record_type, title: row.title, country: row.country, region: row.region, election_name: row.election_name, election_date: row.election_date_start, case_status: row.case_status, manipulation_assessment: row.manipulation_assessment, ai_role: row.ai_role, generative_ai_status: row.generative_ai_status, evidence_maturity: evidenceForCase(row.case_id), incident_count_eligible: row.record_type === "preparedness_file" ? "false" : "true", research_status: "included_claim_coded", source_count_or_links: sourceCountByCase.get(row.case_id) || 0, main_caveat: row.counterevidence, last_checked: row.last_verified })),
  ...seed.candidates.map((row) => ({ catalog_id: row.candidate_id, record_layer: "screening_register", record_type: "candidate_lead", title: row.title, country: row.country, region: row.region, election_name: row.election_name, election_date: row.election_date, case_status: "screening", manipulation_assessment: "not_yet_claim_coded", ai_role: row.ai_role, generative_ai_status: row.generative_ai_status, evidence_maturity: row.occurrence_status, incident_count_eligible: "false", research_status: row.research_status, source_count_or_links: String(row.source_urls || "").split("|").filter(Boolean).length, main_caveat: row.main_caveat, last_checked: row.last_checked })),
  ...seed.model_evaluations.map((row) => ({ catalog_id: row.evaluation_id, record_layer: "empirical_model_study", record_type: "model_evaluation_or_experiment", title: row.title, country: row.country, region: regionForCountry(row.country), election_name: row.election_or_context, election_date: "", case_status: "completed_study", manipulation_assessment: "not_an_incident", ai_role: "tested_system_capability", generative_ai_status: "confirmed_tested_system", evidence_maturity: "study_design_specific", incident_count_eligible: "false", research_status: "included_empirical_study", source_count_or_links: 1, main_caveat: `Evaluation window: ${row.evaluation_window}. ${row.causal_scope}`, last_checked: "2026-08-12" }))
];

const frameNotes = {
  Europe: "Strongest current core coverage; still purposive and concentrated in Romania/Moldova.",
  "North America": "One adjudicated 2024 robocall, two 2026 campaign records, and several model audits; no prevalence frame.",
  "South America": "Brazil core is mainly preparedness/current use; completed Colombia/Ecuador leads remain to be disaggregated.",
  Asia: "Screening leads exist but no claim-coded core case yet.",
  Africa: "Screening leads exist but no claim-coded core case yet.",
  Oceania: "One knowledge-poisoning lead; no claim-coded core case yet.",
  "Cross-national": "Empirical studies span jurisdictions; not incident counts."
};
const regions = Object.keys(frameNotes);
seed.sampling_frame = regions.map((region) => {
  const included = seed.cases.filter((row) => canonicalRegion(row.region) === region).length;
  const candidates = seed.candidates.filter((row) => canonicalRegion(row.region) === region).length;
  return { frame_id: `frame-${region.toLowerCase().replaceAll(/[^a-z]+/g, "-")}`, region, selection_basis: "purposive anchor cases plus structured comparative screening; not a census", search_status: included || candidates ? "partial" : "not_started", search_languages: region === "Europe" ? "en|ro|pt|selected_local_sources" : "primarily_en_with_selected_local_sources", source_channels: "official election bodies|courts|platform reports|peer-reviewed studies|fact-checkers|investigative reporting", included_case_count: included, candidate_count: candidates, negative_search_recorded: region === "South America" ? "true" : "false", known_gap: frameNotes[region], last_searched: "2026-08-12" };
});
seed.coverage_summary = regions.map((region) => ({ region, included_case_count: seed.cases.filter((row) => canonicalRegion(row.region) === region).length, candidate_count: seed.candidates.filter((row) => canonicalRegion(row.region) === region).length, model_evaluation_count: seed.model_evaluations.filter((row) => regionForCountry(row.country) === region).length, coverage_note: frameNotes[region] }));

function csvCell(value) {
  if (value === null || value === undefined) return "";
  const s = Array.isArray(value) ? value.join("|") : String(value);
  return /[",\n\r]/.test(s) ? '"' + s.replaceAll('"', '""') + '"' : s;
}

function toCsv(rows, columns) {
  const lines = [columns.map(csvCell).join(",")];
  for (const row of rows) {
    lines.push(columns.map((column) => csvCell(row[column])).join(","));
  }
  return lines.join("\n") + "\n";
}

function sha256(value) {
  return createHash("sha256").update(value).digest("hex");
}

function assertUnique(rows, key, table) {
  const seen = new Set();
  for (const row of rows) {
    if (!row[key]) throw new Error(table + " has a row without " + key);
    if (seen.has(row[key])) throw new Error(table + " has duplicate " + key + ": " + row[key]);
    seen.add(row[key]);
  }
  return seen;
}

function splitIds(value) {
  return String(value || "").split("|").map((v) => v.trim()).filter(Boolean);
}

const caseIds = assertUnique(seed.cases, "case_id", "cases");
const claimIds = assertUnique(seed.claims, "claim_id", "claims");
const sourceIds = assertUnique(seed.sources, "source_id", "sources");
assertUnique(seed.events, "event_id", "events");
assertUnique(seed.watchlist, "watch_id", "watchlist");
assertUnique(seed.candidates, "candidate_id", "candidates");
assertUnique(seed.official_elections, "election_id", "official_elections");
assertUnique(seed.official_turnout, "turnout_id", "official_turnout");
assertUnique(seed.official_results, "result_id", "official_results");
assertUnique(seed.official_data_sources, "official_source_id", "official_data_sources");
assertUnique(seed.official_election_metrics, "metric_id", "official_election_metrics");
assertUnique(seed.case_actors, "case_actor_id", "case_actors");
assertUnique(seed.technology_uses, "tech_use_id", "technology_uses");
assertUnique(seed.content_items, "content_item_id", "content_items");
assertUnique(seed.pathways, "pathway_id", "pathways");
assertUnique(seed.observations, "observation_id", "observations");
assertUnique(seed.model_evaluations, "evaluation_id", "model_evaluations");
assertUnique(seed.claim_evidence, "claim_evidence_id", "claim_evidence");
assertUnique(seed.analytic_record_claims, "record_claim_id", "analytic_record_claims");
assertUnique(seed.case_elections, "case_election_id", "case_elections");
assertUnique(seed.election_sources, "election_source_id", "election_sources");

for (const claim of seed.claims) {
  if (!caseIds.has(claim.case_id)) throw new Error("Unknown case in claim " + claim.claim_id);
  if (!claim.source_ids && !["open_question", "researcher_hypothesis", "not_identified_in_declared_review"].includes(claim.evidence_label)) {
    throw new Error("Evidence claim without source: " + claim.claim_id);
  }
  for (const sourceId of [...splitIds(claim.source_ids), ...splitIds(claim.counter_source_ids)]) {
    if (!sourceIds.has(sourceId)) throw new Error("Unknown source " + sourceId + " in " + claim.claim_id);
  }
}

const pathwayStatusEnums = {
  capability_status: new Set(["observed", "not_observed", "not_assessed", "not_applicable"]),
  control_mechanism_status: new Set(["observed", "not_observed", "not_assessed", "not_applicable"]),
  attempted_transfer_status: new Set(["observed", "not_observed", "insufficient_evidence", "not_applicable"]),
  agency_change_status: new Set(["observed", "not_observed", "insufficient_evidence", "not_applicable"]),
  agency_preservation_status: new Set(["observed", "not_observed", "insufficient_evidence", "not_applicable"]),
  maximum_conclusion: new Set(["control_mechanism_observed", "attempted_transfer_observed", "agency_change_observed", "agency_preserved_or_extended", "insufficient_evidence", "not_an_incident"]),
  assessment_label: new Set(["observed_mechanism", "observed_attempt_with_unmeasured_agency", "boundary_case", "not_applicable"])
};
for (const pathway of seed.pathways) {
  for (const [field, allowed] of Object.entries(pathwayStatusEnums)) {
    if (!allowed.has(pathway[field])) throw new Error(`Invalid ${field} in ${pathway.pathway_id}: ${pathway[field]}`);
  }
  if (!pathway.maximum_conclusion || !pathway.falsification_condition || !pathway.comparator || !pathway.observed_evidence) {
    throw new Error(`Incomplete falsifiability fields in ${pathway.pathway_id}`);
  }
  if (pathway.agency_change_status === "observed" && pathway.maximum_conclusion !== "agency_change_observed") {
    throw new Error(`Observed agency change without matching maximum conclusion in ${pathway.pathway_id}`);
  }
}

for (const event of seed.events) {
  if (!caseIds.has(event.case_id)) throw new Error("Unknown case in event " + event.event_id);
  for (const claimId of splitIds(event.claim_ids)) {
    if (!claimIds.has(claimId)) throw new Error("Unknown claim " + claimId + " in " + event.event_id);
  }
  for (const sourceId of splitIds(event.source_ids)) {
    if (!sourceIds.has(sourceId)) throw new Error("Unknown source " + sourceId + " in " + event.event_id);
  }
}

for (const link of seed.case_sources) {
  if (!caseIds.has(link.case_id)) throw new Error("Unknown case in case_sources: " + link.case_id);
  if (!sourceIds.has(link.source_id)) throw new Error("Unknown source in case_sources: " + link.source_id);
}

for (const item of seed.watchlist) {
  if (!caseIds.has(item.case_id)) throw new Error("Unknown case in watchlist " + item.watch_id);
}

const electionIds = new Set(seed.official_elections.map((row) => row.election_id));
const officialSourceIds = new Set(seed.official_data_sources.map((row) => row.official_source_id));
for (const election of seed.official_elections) {
  for (const caseId of splitIds(election.linked_case_ids)) {
    if (!caseIds.has(caseId)) throw new Error("Unknown linked case " + caseId + " in " + election.election_id);
  }
  for (const sourceId of splitIds(election.official_source_ids)) {
    if (!officialSourceIds.has(sourceId)) throw new Error("Unknown official source " + sourceId + " in " + election.election_id);
  }
}
for (const row of seed.official_turnout) {
  if (!electionIds.has(row.election_id)) throw new Error("Unknown election in official_turnout " + row.turnout_id);
  if (!officialSourceIds.has(row.official_source_id)) throw new Error("Unknown official source in official_turnout " + row.turnout_id);
}
for (const row of seed.official_results) {
  if (!electionIds.has(row.election_id)) throw new Error("Unknown election in official_results " + row.result_id);
  if (!officialSourceIds.has(row.official_source_id)) throw new Error("Unknown official source in official_results " + row.result_id);
}
for (const row of seed.official_election_metrics) {
  if (!electionIds.has(row.election_id)) throw new Error("Unknown election in official_election_metrics " + row.metric_id);
  if (!officialSourceIds.has(row.official_source_id)) throw new Error("Unknown official source in official_election_metrics " + row.metric_id);
}
for (const row of [...seed.case_actors, ...seed.technology_uses, ...seed.content_items, ...seed.pathways, ...seed.observations]) {
  if (!caseIds.has(row.case_id)) throw new Error("Unknown case in analytic record " + (row.case_actor_id || row.tech_use_id || row.content_item_id || row.pathway_id || row.observation_id));
}
for (const row of seed.claim_evidence) {
  if (!claimIds.has(row.claim_id) || !sourceIds.has(row.source_id)) throw new Error("Unknown claim/source in " + row.claim_evidence_id);
  if (!["full_claim", "partial_claim", "not_verified"].includes(row.locator_coverage)) throw new Error("Invalid locator coverage in " + row.claim_evidence_id);
  if ((row.locator_coverage === "not_verified") !== !row.locator) throw new Error("Locator and coverage disagree in " + row.claim_evidence_id);
  if (row.locator_coverage === "not_verified" && !row.locator_note) throw new Error("Unverified locator reason missing in " + row.claim_evidence_id);
}
for (const row of seed.analytic_record_claims) {
  if (!caseIds.has(row.case_id) || !claimIds.has(row.claim_id)) throw new Error("Unknown case/claim in " + row.record_claim_id);
}
for (const row of seed.case_elections) {
  if (!caseIds.has(row.case_id) || !electionIds.has(row.election_id)) throw new Error("Unknown case/election in " + row.case_election_id);
}
for (const row of seed.election_sources) {
  if (!electionIds.has(row.election_id) || !officialSourceIds.has(row.official_source_id)) throw new Error("Unknown election/source in " + row.election_source_id);
}

fs.mkdirSync(outDir, { recursive: true });
const fileHashes = {};
for (const [table, columns] of Object.entries(schemas)) {
  const filename = table + ".csv";
  const text = toCsv(seed[table], columns);
  fs.writeFileSync(path.join(outDir, filename), text);
  fileHashes[filename] = sha256(text);
}

const schemaText = JSON.stringify(schemas, null, 2) + "\n";
fs.writeFileSync(path.join(outDir, "schema.json"), schemaText);
fileHashes["schema.json"] = sha256(schemaText);

const primaryKeys = {
  cases: "case_id", claims: "claim_id", sources: "source_id", events: "event_id",
  case_sources: ["case_id", "source_id"],
  watchlist: "watch_id", candidates: "candidate_id", official_elections: "election_id",
  official_turnout: "turnout_id", official_results: "result_id",
  official_data_sources: "official_source_id", official_election_metrics: "metric_id",
  case_catalog: "catalog_id", case_actors: "case_actor_id", technology_uses: "tech_use_id",
  content_items: "content_item_id", pathways: "pathway_id", observations: "observation_id",
  model_evaluations: "evaluation_id", claim_evidence: "claim_evidence_id",
  analytic_record_claims: "record_claim_id", case_elections: "case_election_id",
  election_sources: "election_source_id", sampling_frame: "frame_id",
  research_view: "pathway_id", coverage_summary: "region"
};
const foreignKeys = {
  claims: [["case_id", "cases", "case_id"]],
  events: [["case_id", "cases", "case_id"]],
  case_sources: [["case_id", "cases", "case_id"], ["source_id", "sources", "source_id"]],
  watchlist: [["case_id", "cases", "case_id"]],
  official_turnout: [["election_id", "official_elections", "election_id"], ["official_source_id", "official_data_sources", "official_source_id"]],
  official_results: [["election_id", "official_elections", "election_id"], ["official_source_id", "official_data_sources", "official_source_id"]],
  official_election_metrics: [["election_id", "official_elections", "election_id"], ["official_source_id", "official_data_sources", "official_source_id"]],
  research_view: [["case_id", "cases", "case_id"], ["pathway_id", "pathways", "pathway_id"]],
  case_actors: [["case_id", "cases", "case_id"]],
  technology_uses: [["case_id", "cases", "case_id"]],
  content_items: [["case_id", "cases", "case_id"]],
  pathways: [["case_id", "cases", "case_id"]],
  observations: [["case_id", "cases", "case_id"], ["pathway_id", "pathways", "pathway_id"], ["claim_id", "claims", "claim_id"], ["source_id", "sources", "source_id"]],
  claim_evidence: [["claim_id", "claims", "claim_id"], ["source_id", "sources", "source_id"]],
  analytic_record_claims: [["case_id", "cases", "case_id"], ["claim_id", "claims", "claim_id"]],
  case_elections: [["case_id", "cases", "case_id"], ["election_id", "official_elections", "election_id"]],
  election_sources: [["election_id", "official_elections", "election_id"], ["official_source_id", "official_data_sources", "official_source_id"]]
};
const integerFields = new Set(["votes", "rank", "seats", "registered_voters", "ballots_cast", "turnout_numerator", "valid_votes", "invalid_votes", "reporting_units_total", "reporting_units_counted", "sample_size", "included_case_count", "candidate_count", "model_evaluation_count", "source_count_or_links", "content_bytes"]);
const numberFields = new Set(["turnout_rate", "authority_reported_turnout_rate", "valid_vote_share", "authority_reported_rate", "computed_rate", "value", "value_low", "value_best", "value_high"]);
const dateFields = new Set(["election_date_start", "election_date_end", "as_of_date", "last_verified", "verified_at", "retrieved_at", "publication_date", "event_date", "election_date", "last_checked", "last_searched", "snapshot_cutoff"]);
const booleanFields = new Set(["anchor_case", "incident_count_eligible", "negative_search_recorded"]);
const fieldMetadata = {
  "cases.record_type": { description: "Unit of analysis; different record types are not automatically exchangeable.", constraints: { required: true, enum: ["election_wide_case", "observed_network", "observed_incident", "observed_campaign_set", "preparedness_file"] } },
  "cases.case_status": { constraints: { required: true, enum: ["retrospective", "ongoing", "prospective_monitoring"] } },
  "cases.manipulation_assessment": { description: "Process assessment kept separate from agency and electoral outcomes.", constraints: { required: true, enum: ["manipulation_confirmed", "manipulation_probable", "mixed_documented_manipulation", "transparent_contested_use", "manipulation_not_established", "no_manipulation_observed", "preparedness_not_incident", "not_an_incident"] } },
  "cases.affected_state": { description: "Decision-relevant dimension examined; not a claim that the state changed." },
  "cases.control_shift_hypothesis": { description: "Falsifiable analytical proposition; not an observed agency outcome." },
  "cases.hypothesized_power_recipient": { description: "Actor that could gain control if the hypothesis is supported; not an observed concentration-of-power finding." },
  "cases.democratic_harm": { description: "Harm assessment that must distinguish documented process or institutional harm from plausible but unmeasured outcome harm." },
  "cases.occurrence_status": { constraints: { required: true, enum: ["confirmed", "partly_confirmed", "alleged", "not_observed"] } },
  "cases.behavioural_effect_status": { description: "Outcome status; unknown must not be interpreted as no effect.", constraints: { required: true, enum: ["measured", "indicated", "not_detected", "unknown"] } },
  "cases.electoral_effect_status": { description: "Causal electoral-effect status; institutional action belongs in institutional_outcome.", constraints: { required: true, enum: ["measured", "not_detected", "unknown"] } },
  "claims.claim_type": {
    description: "Semantic class of the atomic claim; control_shift_hypothesis is explicitly analytical, not an observed agency outcome.",
    constraints: { required: true, enum: ["occurrence", "mechanism", "ai_role", "reach", "attribution", "intent", "behavioural_effect", "electoral_effect", "institutional_outcome", "response", "legal_status", "counterevidence", "control_shift_hypothesis"] }
  },
  "claims.evidence_label": {
    description: "Epistemic form of the claim; not_identified_in_declared_review is bounded to the linked corpus and researcher_hypothesis is untested.",
    constraints: { required: true, enum: Object.keys(claimSemantics) }
  },
  "claims.claim_status": {
    description: "Support status derived from evidence_label without a numeric confidence score.",
    constraints: { required: true, enum: [...new Set(Object.values(claimSemantics).map((value) => value[0]))] }
  },
  "claims.evidence_basis": {
    description: "Non-numeric basis category; it is not an ordinal quality score.",
    constraints: { required: true, enum: [...new Set(Object.values(claimSemantics).map((value) => value[1]))] }
  },
  "claims.evidence_scope": {
    description: "What the evidence establishes: conduct/fact, an attributed assertion, an action, a measurement, a review-scope statement, or researcher inference.",
    constraints: { required: true, enum: ["underlying_fact", "assertion_was_made", "institutional_action", "measurement", "review_scope_statement", "researcher_inference"] }
  },
  "pathways.capability_status": { description: "Whether the relevant technical or organizational capability is directly documented in this record.", constraints: { required: true, enum: [...pathwayStatusEnums.capability_status] } },
  "pathways.control_mechanism_status": { description: "Whether a mechanism capable of controlling a decision-relevant input is directly documented.", constraints: { required: true, enum: [...pathwayStatusEnums.control_mechanism_status] } },
  "pathways.attempted_transfer_status": { description: "Whether evidence shows an attempt to displace, coerce, impersonate, or covertly control a decision-relevant capacity; ordinary persuasion is insufficient.", constraints: { required: true, enum: [...pathwayStatusEnums.attempted_transfer_status] } },
  "pathways.agency_change_status": { description: "Whether a change in a person's decision-relevant agency is directly observed; not_observed is not evidence that no change occurred.", constraints: { required: true, enum: [...pathwayStatusEnums.agency_change_status] } },
  "pathways.agency_preservation_status": { description: "Whether evidence directly shows that agency was preserved or extended; disclosure alone is not sufficient.", constraints: { required: true, enum: [...pathwayStatusEnums.agency_preservation_status] } },
  "pathways.maximum_conclusion": { description: "Strongest conclusion permitted by the coded evidence, not a severity rank.", constraints: { required: true, enum: [...pathwayStatusEnums.maximum_conclusion] } },
  "pathways.assessment_label": { description: "Reasoning posture used for the pathway assessment.", constraints: { required: true, enum: [...pathwayStatusEnums.assessment_label] } },
  "pathways.falsification_condition": { description: "Case-specific observation that would count against the control-shift hypothesis or block a stronger conclusion.", constraints: { required: true } },
  "pathways.comparator": { description: "Empirical or design comparator required to test agency change or preservation.", constraints: { required: true } },
  "pathways.observed_evidence": { description: "Only what the linked evidence directly documents.", constraints: { required: true } },
  "pathways.researcher_inference": { description: "Analytical proposition kept separate from observed evidence; blank for non-incidents where no inference is made." },
  "research_view.capability_status": { constraints: { required: true, enum: [...pathwayStatusEnums.capability_status] } },
  "research_view.control_mechanism_status": { constraints: { required: true, enum: [...pathwayStatusEnums.control_mechanism_status] } },
  "research_view.attempted_transfer_status": { constraints: { required: true, enum: [...pathwayStatusEnums.attempted_transfer_status] } },
  "research_view.agency_change_status": { constraints: { required: true, enum: [...pathwayStatusEnums.agency_change_status] } },
  "research_view.agency_preservation_status": { constraints: { required: true, enum: [...pathwayStatusEnums.agency_preservation_status] } },
  "research_view.maximum_conclusion": { constraints: { required: true, enum: [...pathwayStatusEnums.maximum_conclusion] } },
  "claim_evidence.evidence_scope": { description: "Scope inherited from the claim and applied to this claim-source relation.", constraints: { required: true, enum: ["underlying_fact", "assertion_was_made", "institutional_action", "measurement", "review_scope_statement", "researcher_inference"] } },
  "claim_evidence.relation": { description: "supports = source states the coded factual/attributed proposition; premise = source supports a factual premise used in a researcher inference but does not state that inference; counterevidence = source qualifies or contests it.", constraints: { required: true, enum: ["supports", "premise", "counterevidence"] } },
  "claim_evidence.locator_coverage": { description: "Whether the recorded pinpoint covers the full claim wording, only part of it, or was not verified; never inferred from a nonblank URL alone.", constraints: { required: true, enum: ["full_claim", "partial_claim", "not_verified"] } },
  "claim_evidence.locator_note": { description: "Reason no verified pinpoint was recorded; blank for verified full or partial locators." },
  "observations.causal_status": { description: "Design-bounded causal status; descriptive counts never establish agency or electoral effects.", constraints: { required: true, enum: ["descriptive_only", "association_only", "experimental_causal_estimate", "quasi_experimental_causal_estimate", "causal_estimate", "not_applicable"] } }
};
const resourceDescriptions = {
  cases: "Claim-coded records with incident/preparedness type, mechanism context, effect status and explicitly hypothetical control-shift fields.",
  claims: "Atomic factual, attributed, review-bounded, inferential, or hypothesis claims; no numeric coder-confidence scores.",
  sources: "Source registry with provenance, independence, access and preservation metadata.",
  events: "Dated events linked to cases, claims and sources.",
  case_sources: "Normalized many-to-many case–source links.",
  watchlist: "Prospective observable indicators and assessment rules; not incident evidence.",
  candidates: "Screening leads that are not claim-coded core incidents.",
  official_elections: "Official election and contest context linked to cases.",
  official_turnout: "Wide official turnout records retained for compatibility.",
  official_results: "Official contest results; not evidence of manipulation effects.",
  official_data_sources: "Provenance manifest for official election data.",
  official_election_metrics: "Long-form official metrics with numerator, denominator and legal role.",
  research_view: "Compact comparison view exposing the separate falsifiable pathway dimensions.",
  case_catalog: "Unified catalog of core records, screening leads and empirical model studies.",
  case_actors: "Actors, roles, attribution status and control dimensions.",
  technology_uses: "Case-specific technology provenance and use status.",
  content_items: "Item-level representation, disclosure and authorization coding.",
  pathways: "Falsifiable control-shift hypotheses separating observed mechanisms, attempts, agency change, preservation, and non-incidents.",
  observations: "Typed descriptive or design-bounded quantitative observations.",
  model_evaluations: "Empirical model audits and experiments kept outside incident counts.",
  claim_evidence: "Normalized claim–source support, researcher-premise and counterevidence relations with explicit pinpoint-coverage status.",
  analytic_record_claims: "Links analytic records to the atomic claims supporting their coding.",
  case_elections: "Normalized case–election relations.",
  election_sources: "Normalized election–official-source relations.",
  sampling_frame: "Declared purposive search coverage and negative-search gaps.",
  coverage_summary: "Regional record counts; not prevalence estimates."
};
function fieldDescriptor(table, name) {
  const base = booleanFields.has(name)
    ? { name, type: "boolean", trueValues: ["true"], falseValues: ["false"] }
    : integerFields.has(name)
      ? { name, type: "integer" }
      : numberFields.has(name)
        ? { name, type: "number" }
        : dateFields.has(name)
          ? { name, type: "date" }
          : { name, type: "string" };
  const metadata = fieldMetadata[`${table}.${name}`] || {};
  const key = primaryKeys[table];
  const isPrimaryKey = Array.isArray(key) ? key.includes(name) : key === name;
  const isForeignKey = foreignKeys[table]?.some(([field]) => field === name);
  if (isPrimaryKey || isForeignKey) {
    metadata.constraints = { ...(metadata.constraints || {}), required: true };
  }
  return { ...base, ...metadata };
}
const dataPackage = {
  profile: "tabular-data-package",
  name: "agency-transfer-election-cases",
  title: "AI, Elections and Agency Transfer Evidence Index",
  version: releaseVersion,
  description: "Purposive, exploratory evidence index with normalized claims, pathways, observations, model studies, screening records and official electoral context. It is not proof of agency transfer, a prevalence sample or an election-effect estimate.",
  keywords: ["elections", "artificial intelligence", "information integrity", "agency", "evidence index"],
  licenses: [{ name: "CC-BY-4.0", path: "https://creativecommons.org/licenses/by/4.0/" }],
  resources: Object.entries(schemas).map(([table, columns]) => ({
    name: table,
    description: resourceDescriptions[table],
    path: `${table}.csv`,
    profile: "tabular-data-resource",
    format: "csv",
    mediatype: "text/csv",
    schema: {
      fields: columns.map((column) => fieldDescriptor(table, column)),
      ...(primaryKeys[table] ? { primaryKey: primaryKeys[table] } : {}),
      ...(foreignKeys[table]?.length ? { foreignKeys: foreignKeys[table].map(([field, resource, targetField]) => ({ fields: field, reference: { resource, fields: targetField } })) } : {})
    }
  }))
};
const catalogResource = dataPackage.resources.find((resource) => resource.name === "case_catalog");
const catalogDateField = catalogResource?.schema.fields.find((field) => field.name === "election_date");
if (catalogDateField) {
  catalogDateField.description = "ISO election date for core cases and screening leads; blank for empirical studies whose evaluation window is stored in model_evaluations.";
}
const observationResource = dataPackage.resources.find((resource) => resource.name === "observations");
if (observationResource) {
  observationResource.description = "Selected decision-relevant quantitative observations normalized from claims; absence of a row does not imply absence of all numeric text in the evidence corpus.";
}
const dataPackageText = JSON.stringify(dataPackage, null, 2) + "\n";
fs.writeFileSync(path.join(outDir, "datapackage.json"), dataPackageText);
fileHashes["datapackage.json"] = sha256(dataPackageText);

const counts = Object.fromEntries(Object.keys(schemas).map((table) => [table, seed[table].length]));
const stats = {
  ...counts,
  _integrity: {
    input_sha256: {
      "research/seed.json": sha256(fs.readFileSync(seedPath)),
      "research/candidates.json": sha256(fs.readFileSync(candidatesPath)),
      "research/europe_candidates.json": sha256(fs.readFileSync(europeCandidatesPath)),
      "research/official_electoral_data.json": sha256(fs.readFileSync(officialElectoralDataPath)),
      "research/v0.3_extensions.json": sha256(fs.readFileSync(extensionsPath)),
      "research/v0.4_locators.json": sha256(fs.readFileSync(locatorsPath))
    },
    file_sha256: fileHashes
  }
};
fs.writeFileSync(path.join(outDir, "stats.json"), JSON.stringify(stats, null, 2) + "\n");
process.stdout.write(JSON.stringify(counts) + "\n");