Commit Graph

5 Commits

Author SHA1 Message Date
Fabio 2e5197d1a3 The changelog engine: turn git diffs into a civic changelog
The diff is the product — now literally. generate_changelog.py reads a
git diff of the entity tree between any two refs and says, in plain
language, what changed in the government: entities added / modified /
removed, grouped by type and by jurisdiction, dated from the commit.

CHANGELOG.md is seeded from the real history so far:
  - initial load: +11,285 people across 51 states
  - institutional gap: +233 bodies, ~532 people enriched
  - elections + demographics: +2,494 candidates, +3,494 jurisdictions
    (TX +541, FL +396, CA +341 ...)

On an initial load every entity is an addition; on a re-sync of the same
source, only real government changes will surface — which is the whole
point. When nothing changed, it says so.

make changelog [BASE=.. HEAD=..]. No third-party deps.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-04 08:28:50 -04:00
Fabio aefa65f5b3 Validation: JSON Schemas + validator (the discipline, enforced)
The README claimed 'validated by JSON Schema' — now it is true.

/schemas holds a JSON Schema for each entity type (Person, Body,
Candidate, Jurisdiction): a stricter profile over OKF's permissive
base, tolerating unknown keys by design.

scripts/validate.py checks all 17,506 files with no third-party deps
(hand-rolled frontmatter parser + minimal schema engine):
  1. OKF conformance — every file has frontmatter with a non-empty type
  2. Schema conformance — required fields, property types, enums
  3. Link integrity — internal /-rooted links resolve

Non-zero exit on failure, so it is a CI gate. Verified with a negative
test: it catches bad enums and dead links. All 17,506 files pass today.

Makefile ties it together: make build / validate / check.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-03 23:43:56 -04:00
Fabio 5b0712c31f Add elections + demographics layer: candidates and jurisdictions
Two new entity types, built deterministically from the raw exports:

  Candidate (2,494)     — 2026 federal candidates as files under
                          us/states/<st>/candidates/, with office,
                          district, party, incumbent/challenger stance,
                          campaign committee, FEC id.

  Jurisdiction (3,494)  — demographic nodes carrying ACS 2023 data:
                          3,131 counties (deduped from 3,231 mixed-format
                          fips keys) + 363 congressional districts.

This completes the county skeleton nationwide: every US county is now a
browsable node with population, income, poverty, race, education and
housing — even where no officeholders are mapped yet. In Florida the
county index.md merges into the existing dir and reports its officeholder
count alongside demographics (St. Lucie: 33 officeholders + ACS profile).

build.py now reads seven raw inputs in one deterministic pass
(byte-identical on rerun). The mirror now answers: who holds power, who
runs this institution, who is running, and what each place is made of.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-03 23:35:00 -04:00
Fabio d6874ca8a6 Close the institutional gap: bodies, committees, leadership
The seat data answered 'who represents this place?' but not 'who runs
this institution?' — the Speaker of the House existed only as the rep
for LA-4. This adds the missing axis of institutional power.

New Body entities (233): the U.S. House, U.S. Senate, Executive Office,
49 committees, 181 subcommittees — each with its leadership.

Federal people (532/542) enriched with bioguide IDs, leadership roles,
and committee seats, reconciled from congress-legislators by name.
Mike Johnson is now Speaker of the House, not just LA-4.

Sources ingested directly into the repo (repo-canonical): Atlas
supplied bodies/leadership/committee_memberships via congress-legislators,
committed raw in data/. build.py supersedes convert_officeholders.py and
reads all four inputs in one deterministic pass (byte-identical on rerun).

The 10 unenriched federal records are a finding, not a bug: vacancies,
the President, and ~5 seats where Atlas's roster disagrees with the
authoritative current roster — model-vs-reality discrepancies to surface.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-03 20:51:07 -04:00
Fabio 1545fcf5ca Raw JSONL to structured tree: 11,285 entity files
One record, one file. The jurisdiction tree is now real:

  us/people/                          542 federal
  us/states/<xx>/people/            7,561 state
  us/states/fl/counties/<c>/people/ 1,058 county
  .../municipalities/<m>/people/    2,124 municipal (67 FL counties)

Each file is OKF markdown + YAML frontmatter: fixed key order,
field-level source provenance, Atlas UUIDs for round-tripping,
deterministic paths and slugs. Converter passes the determinism
test: two runs, byte-identical tree.

Generated by scripts/convert_officeholders.py from
data/officeholders-v2.jsonl (unchanged).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-03 18:08:31 -04:00