bot-backend
f7d0bbd30e
Commits the gzipped 277-deal prod fixture (frozen _price_from_inputs inputs), the frozen backtest_baseline.json (overall MAPE 18.63% / bias -1.2%; per-segment бизнес -21.5% / элит -38.6% — the systemic expensive-segment underestimation, now measured), and a hermetic pytest gate that replays the fixture through the full pricing spine (ZERO DB) and asserts metrics == baseline within float tolerance. Relative regression gate, not an absolute SLA (live coverage ~55% is data-blocked per #1966). To change estimator behaviour: regenerate the baseline (--from-fixture --update-baseline, no DB) and justify the per-segment deltas in the PR. The fixture (gzipped prod inputs) re-extracts rarely; the per-change artifact is the 3 KB baseline. Large-file hook excludes the fixture (re-extracted only on ground-truth refresh). Refs #1966
154 lines
3.1 KiB
JSON
154 lines
3.1 KiB
JSON
{
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"calibration": {
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"high": {
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"coverage_pct": null,
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"mape_pct": null,
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"n": 0,
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"n_covered": 0
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},
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"low": {
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"coverage_pct": 55.27,
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"mape_pct": 18.63,
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"n": 275,
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"n_covered": 152
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},
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"medium": {
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"coverage_pct": 50.0,
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"mape_pct": 19.18,
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"n": 2,
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"n_covered": 1
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}
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},
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"confidence_order": [
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"high",
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"medium",
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"low"
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],
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"expected_sold": {
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"overall": {
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"mape_pct": 18.63,
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"median_bias_pct": -1.2,
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"n": 277,
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"n_no_analogs": 0,
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"p25_pct": -16.25,
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"p75_pct": 20.26
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},
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"per_rooms": {
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"0": {
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"label": "студия",
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"mape_pct": 27.97,
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"median_bias_pct": 27.56,
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"n": 37,
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"n_no_analogs": 0,
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"p25_pct": -8.97,
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"p75_pct": 38.45
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},
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"1": {
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"label": "1к",
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"mape_pct": 19.55,
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"median_bias_pct": -8.08,
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"n": 93,
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"n_no_analogs": 0,
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"p25_pct": -21.27,
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"p75_pct": 13.3
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},
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"2": {
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"label": "2к",
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"mape_pct": 16.22,
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"median_bias_pct": -8.82,
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"n": 74,
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"n_no_analogs": 0,
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"p25_pct": -21.01,
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"p75_pct": 6.13
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},
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"3": {
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"label": "3к",
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"mape_pct": 10.52,
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"median_bias_pct": 4.08,
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"n": 43,
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"n_no_analogs": 0,
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"p25_pct": -6.54,
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"p75_pct": 11.96
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},
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"4": {
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"label": "4+",
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"mape_pct": 23.53,
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"median_bias_pct": 14.35,
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"n": 30,
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"n_no_analogs": 0,
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"p25_pct": -0.72,
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"p75_pct": 35.27
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}
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},
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"per_segment": {
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"бизнес": {
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"mape_pct": 22.14,
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"median_bias_pct": -21.49,
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"n": 46,
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"p25_pct": -28.22,
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"p75_pct": -9.82
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},
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"комфорт": {
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"mape_pct": 16.74,
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"median_bias_pct": -8.05,
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"n": 104,
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"p25_pct": -20.63,
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"p75_pct": 7.55
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},
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"премиум": {
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"mape_pct": 59.37,
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"median_bias_pct": -59.37,
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"n": 1,
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"p25_pct": -59.37,
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"p75_pct": -59.37
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},
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"эконом": {
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"mape_pct": 18.01,
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"median_bias_pct": 17.17,
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"n": 120,
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"p25_pct": 1.73,
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"p75_pct": 46.96
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},
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"элит": {
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"mape_pct": 38.62,
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"median_bias_pct": -38.62,
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"n": 6,
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"p25_pct": -47.98,
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"p75_pct": -33.18
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}
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}
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},
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"headline": {
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"ask_median_ppm2": 147545.8502510892,
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"deal_median_ppm2": 125063.0,
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"spread_pct": 17.98
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},
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"range_coverage": {
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"overall": {
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"coverage_pct": 55.23,
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"n": 277,
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"n_covered": 153
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},
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"per_confidence": {
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"high": {
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"coverage_pct": null,
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"n": 0,
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"n_covered": 0
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},
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"low": {
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"coverage_pct": 55.27,
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"n": 275,
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"n_covered": 152
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},
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"medium": {
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"coverage_pct": 50.0,
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"n": 2,
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"n_covered": 1
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}
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}
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},
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"sharpness": {
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"median_rel_width": 0.4638,
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"n": 277
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}
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}
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