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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.
129 lines
4.9 KiB
Python
129 lines
4.9 KiB
Python
from dataclasses import dataclass
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from functools import cached_property
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from typing import Any
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from products.signals.backend.emission.registry import SignalEmitterOutput, SignalSourceTableConfig, get_signal_config
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from products.warehouse_sources.backend.facade.types import ExternalDataSourceType
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# Sentinel for error tracking signals (not a real ExternalDataSourceType)
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ERROR_TRACKING = "error_tracking"
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# Maps ExternalDataSourceType to the schema name used in the signal registry
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_SOURCE_SCHEMA_MAP: dict[ExternalDataSourceType, str] = {
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ExternalDataSourceType.ZENDESK: "tickets",
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ExternalDataSourceType.GITHUB: "issues",
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ExternalDataSourceType.LINEAR: "issues",
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}
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# Maps ExternalDataSourceType to (title_field, body_field) in the emitter's record format
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_RECORD_FIELD_MAP: dict[ExternalDataSourceType, tuple[str, str]] = {
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ExternalDataSourceType.ZENDESK: ("subject", "description"),
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ExternalDataSourceType.GITHUB: ("title", "body"),
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ExternalDataSourceType.LINEAR: ("title", "description"),
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}
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# Defaults for extra fields that Linear's _build_extra
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_LINEAR_EXTRA_DEFAULTS: dict[str, Any] = {
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"url": "",
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"identifier": "",
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"number": 0,
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"priority": 0,
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"priority_label": "",
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"created_at": "",
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"updated_at": "",
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}
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# Preamble text for error tracking signal descriptions, matching cymbal's format
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_ERROR_TRACKING_PREAMBLES: dict[str, str] = {
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"issue_created": "New error tracking issue created - this particular exception was observed for the first time",
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"issue_reopened": "Previously resolved error tracking issue has reappeared",
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"issue_spiking": "This error tracking issue is experiencing a spike in occurrences",
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}
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_ERROR_TRACKING_WEIGHTS: dict[str, float] = {
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"issue_created": 0.4,
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"issue_reopened": 0.7,
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"issue_spiking": 0.7,
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}
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def _render_error_tracking_description(title: str, body: str, source_type: str) -> str:
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"""Render an error tracking signal description matching cymbal's format from signals.rs."""
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preamble = _ERROR_TRACKING_PREAMBLES.get(source_type, "Error tracking issue")
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return f"{preamble}:\n{title}\n\n```\n{body}\n```"
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def _noop_emitter(_team_id: int, _record: dict[str, Any]) -> SignalEmitterOutput | None:
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return None
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def _noop_fetcher(_team: Any, _config: SignalSourceTableConfig, _context: dict[str, Any]) -> list[dict[str, Any]]:
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# Error tracking eval cases never go through the fetcher path — content is rendered directly
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# via _render_error_tracking_description. The fetcher only exists to satisfy the registry contract.
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return []
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@dataclass
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class EvalSignalSpec:
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"""Specification for a single synthetic signal."""
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source: ExternalDataSourceType | str # str for ERROR_TRACKING
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title: str
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body: str
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source_type_override: str = "issue_created" # only used for error_tracking
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def _to_record(self) -> dict[str, Any]:
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title_field, body_field = _RECORD_FIELD_MAP[self.source] # type: ignore[index]
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record: dict[str, Any] = {
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"id": 1,
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title_field: self.title,
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body_field: self.body,
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}
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if self.source == ExternalDataSourceType.LINEAR:
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record.update(_LINEAR_EXTRA_DEFAULTS)
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return record
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@cached_property
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def config(self) -> SignalSourceTableConfig:
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if self.source == ERROR_TRACKING:
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return SignalSourceTableConfig(
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source_product="error_tracking",
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source_type=self.source_type_override,
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emitter=_noop_emitter,
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record_fetcher=_noop_fetcher,
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partition_field="",
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fields=(),
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)
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schema_name = _SOURCE_SCHEMA_MAP[self.source] # type: ignore[index]
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config = get_signal_config(self.source.value, schema_name) # type: ignore[union-attr]
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if config is None:
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raise ValueError(f"No signal config registered for {self.source.value}/{schema_name}") # type: ignore[union-attr]
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return config
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@cached_property
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def content(self) -> SignalEmitterOutput:
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if self.source == ERROR_TRACKING:
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return SignalEmitterOutput(
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source_product="error_tracking",
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source_type=self.source_type_override,
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source_id="eval-0",
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description=_render_error_tracking_description(self.title, self.body, self.source_type_override),
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weight=_ERROR_TRACKING_WEIGHTS.get(self.source_type_override, 0.4),
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extra={},
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)
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record = self._to_record()
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content = self.config.emitter(0, record)
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if content is None:
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raise ValueError(f"Content empty for {self.source.value}") # type: ignore[union-attr]
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return content
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@dataclass
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class EvalGroupSpec:
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"""Specification for a single synthetic group."""
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scenario: str
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signals: list[EvalSignalSpec]
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actionable: bool = True
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safe: bool = True
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