gti
d21a9d1140
git-subtree-dir: fiscal git-subtree-mainline:d95165fc8fgit-subtree-split:102ba84500
48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
"""Conservative aggregation of supplier/document observations."""
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from dataclasses import dataclass
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from collections import defaultdict
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from typing import Any, Iterable
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@dataclass(frozen=True)
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class Observation:
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product_id: str
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attribute: str
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value: str
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supplier_id: str
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document_id: str
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observed_at: str
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provenance: str = "SUPPLIER_OBSERVATION"
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def aggregate_observations(observations: Iterable[Observation]) -> dict[tuple[str, str], dict[str, Any]]:
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grouped: dict[tuple[str, str], list[Observation]] = defaultdict(list)
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seen: set[tuple[str, str, str, str]] = set()
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for observation in observations:
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key = (observation.product_id, observation.attribute)
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dedupe = (observation.product_id, observation.attribute, observation.supplier_id, observation.document_id)
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if dedupe not in seen and observation.value not in (None, ""):
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grouped[key].append(observation)
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seen.add(dedupe)
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output = {}
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for key, rows in grouped.items():
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values = {row.value for row in rows}
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counts = {value: sum(row.value == value for row in rows) for value in values}
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supplier_count = len({row.supplier_id for row in rows})
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agreement_rate = max(counts.values()) / len(rows) if rows else 0.0
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conflict_count = max(0, len(values) - 1)
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strong = len(rows) >= 2 and supplier_count >= 2 and len(values) == 1
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output[key] = {
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"value": next(iter(values)) if strong else None,
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"observation_count": len(rows),
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"supplier_count": supplier_count,
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"agreement_rate": agreement_rate,
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"latest_observation": max(row.observed_at for row in rows),
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"conflict_count": conflict_count,
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"strong_evidence": strong,
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"provenance": sorted({row.provenance for row in rows}),
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}
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return output
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