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https://github.com/hanzoai/insights.git
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zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
100 lines
2.7 KiB
Python
100 lines
2.7 KiB
Python
import sys
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import random
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from dataclasses import dataclass
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from enum import Enum
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from tqdm import tqdm
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from products.signals.eval.data_spec import EvalSignalSpec
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from products.signals.eval.fixtures.grouping_data import GROUP_DATA
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RNG_SEED = 1337
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MAX_CONCURRENT_RUNS = 70
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class EvalProgress:
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"""Encapsulates tqdm progress bars and error counters for the eval run."""
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def __init__(self, n_signals: int, n_groups: int):
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self.n_signals = n_signals
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self.n_groups = n_groups
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self.active = 0
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self.dropped = 0
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self._bar = tqdm(total=n_signals, desc="Matching", unit="sig", file=sys.stderr)
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def signal_started(self):
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self.active += 1
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self._update_postfix()
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def signal_done(self):
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self.active -= 1
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self._bar.update(1)
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self._update_postfix()
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def signal_dropped(self):
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self.active -= 1
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self.dropped += 1
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self._bar.update(1)
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self._update_postfix()
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def _update_postfix(self):
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parts: dict[str, int] = {}
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if self.active:
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parts["processing"] = self.active
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if self.dropped:
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parts["filtered"] = self.dropped
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self._bar.set_postfix(parts)
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def start_judging(self, n_reports: int):
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self._bar.close()
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self._bar = tqdm(total=n_reports, desc="Judging", unit="report", file=sys.stderr)
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def report_judged(self):
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self._bar.update(1)
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def done(self):
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self._bar.close()
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class MatchFailureMode(Enum):
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NONE = "NONE" # correct match
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UNDERGROUP = "UNDERGROUP" # created new report when should have joined existing
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OVERGROUP = "OVERGROUP" # joined a report belonging to a different ground-truth group
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@dataclass
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class EvalSignalCase:
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group_index: int
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signal_index: int
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actionable: bool
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safe: bool
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signal: EvalSignalSpec
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def get_signals_stream() -> list[EvalSignalCase]:
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"""Interleave signals across groups randomly, preserving within-group order."""
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rng = random.Random(RNG_SEED)
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cursors = [0] * len(GROUP_DATA)
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stream: list[EvalSignalCase] = []
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def get_active():
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return [i for i, g in enumerate(GROUP_DATA) if cursors[i] < len(g.signals)]
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while active := get_active():
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k = rng.randint(0, len(active) - 1)
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group_index = active[k]
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group = GROUP_DATA[group_index]
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signal = group.signals[cursors[group_index]]
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stream.append(
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EvalSignalCase(
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group_index=group_index,
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signal_index=cursors[group_index],
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safe=group.safe,
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actionable=group.actionable,
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signal=signal,
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)
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)
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cursors[group_index] += 1
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return stream
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