"""Local SQLite DB for parcel scoring analysis.

Mirrors the logic the prod gendesign server uses:
- domrf_kn_objects (subset: under-construction ЖК in Ekb with coords)
- domrf_kn_infrastructure (POI cache)
- ekb_districts (geometry, median price)
- recommend_mix output (per-parcel score)

We don't need the full ~3.2GB warehouse — only what the scorer touches.
"""
import sqlite3, pathlib

DB = pathlib.Path(__file__).parent / "analysis.db"

SCHEMA = """
CREATE TABLE IF NOT EXISTS sites (
    site_id      TEXT PRIMARY KEY,        -- 'parcel:66:41:0204016:10' or 'obj:NNN'
    kind         TEXT NOT NULL,           -- 'parcel' | 'jk'
    name         TEXT,
    address      TEXT,
    district     TEXT,
    obj_class    TEXT,
    developer    TEXT,
    flat_count   INTEGER,
    square_living REAL,
    ready_dt     TEXT,
    obj_status   TEXT,
    lat          REAL NOT NULL,
    lon          REAL NOT NULL,
    geom_geojson TEXT,                    -- nullable polygon as raw GeoJSON
    obj_id       INTEGER                  -- domrf_kn obj_id when kind='jk'
);
CREATE INDEX IF NOT EXISTS sites_kind_idx ON sites(kind);
CREATE INDEX IF NOT EXISTS sites_district_idx ON sites(district);

CREATE TABLE IF NOT EXISTS pois (
    poi_id        INTEGER PRIMARY KEY AUTOINCREMENT,
    site_id       TEXT NOT NULL REFERENCES sites(site_id),
    category      TEXT NOT NULL,          -- 'kindergarten','school','shop_supermarket', ...
    osm_type      TEXT,
    osm_id        TEXT,
    name          TEXT,
    lat           REAL NOT NULL,
    lon           REAL NOT NULL,
    distance_m    REAL NOT NULL,
    raw_tags      TEXT
);
CREATE INDEX IF NOT EXISTS pois_site_cat ON pois(site_id, category);

CREATE TABLE IF NOT EXISTS features (
    site_id       TEXT NOT NULL REFERENCES sites(site_id),
    feature       TEXT NOT NULL,          -- 'kindergarten_nearest_m','schools_in_1km','transit_500m', ...
    value         REAL,
    PRIMARY KEY (site_id, feature)
);

CREATE TABLE IF NOT EXISTS scores (
    site_id       TEXT NOT NULL REFERENCES sites(site_id),
    component     TEXT NOT NULL,          -- 'education','retail','health','transit','leisure'
    score_0_100   REAL NOT NULL,
    PRIMARY KEY (site_id, component)
);

CREATE TABLE IF NOT EXISTS scores_total (
    site_id       TEXT PRIMARY KEY REFERENCES sites(site_id),
    weighted      REAL NOT NULL,
    rank_overall  INTEGER,
    rank_district INTEGER
);

CREATE TABLE IF NOT EXISTS run_log (
    run_id        INTEGER PRIMARY KEY AUTOINCREMENT,
    started_at    TEXT DEFAULT CURRENT_TIMESTAMP,
    finished_at   TEXT,
    notes         TEXT
);
"""

if __name__ == "__main__":
    conn = sqlite3.connect(DB)
    conn.executescript(SCHEMA)
    conn.commit()
    print(f"DB ready at {DB}")
    for tbl in ['sites','pois','features','scores','scores_total','run_log']:
        n = conn.execute(f"SELECT count(*) FROM {tbl}").fetchone()[0]
        print(f"  {tbl}: {n} rows")
    conn.close()