release: bump version to 0.49.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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docs/technical/zh/location-pipeline-development.md
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# 通用位置估算管线开发说明
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`backend/app/services/location/` 是所有“给定一条记录,决定它的 lat/lon”业务的共享抽象。算力中心、BGP 观测站、BGP 事件目前都跑在这条管线上。未来需要位置估算的实体,例如卫星地面站、用户认领点位、IXP 设施,也应接入这里,而不是各自再写地理解析逻辑。
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用户侧流程见 [Earth 位置候选采集使用手册](/home/ray/dev/linkong/planet/docs/technical/zh/location-pipeline-user.md)。
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## 设计目标
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历史上算力中心有自己的 4 层链路,BGP 观测站使用写死字典,BGP 事件继承 collector。三套实现互不复用,新算法也没有稳定挂入点。
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重构后的原则:
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- 共享 `LocationResolver` 协议和 `LocationPipeline` 编排器。
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- 各领域只负责构造 `LocationQuery` 和选择 resolver 顺序。
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- 新算法通过新增 resolver 类接入,不改 ingestion、API 和前端 envelope。
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- 只有达到城市级或更高精度的位置能渲染到 Earth。
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- 本地 JSON registry 不作为算力中心或 BGP 观测站的运行时候选来源;持久事实写入数据库维表。
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## 核心接口
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```python
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@dataclass(frozen=True)
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class LocationQuery:
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name: str | None
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aliases: tuple[str, ...]
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city: str | None
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country: str | None
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region: str | None
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source_latitude: float | None
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source_longitude: float | None
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extra: Mapping[str, Any]
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```
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```python
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@dataclass(frozen=True)
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class LocationCandidate:
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latitude: float
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longitude: float
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display_name: str
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precision: str
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confidence: float
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source: str
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needs_confirmation: bool
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matched_fields: tuple[str, ...]
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suggested_registry_entry: dict | None
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```
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```python
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class LocationResolver(Protocol):
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name: str
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def resolve(self, query: LocationQuery) -> ResolverOutput: ...
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```
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`LocationPipeline.collect_candidates()` 返回排序后的候选和 `attempted_queries`;`resolve_best()` 返回最佳候选及诊断信息。默认排序按 source rank、precision rank、confidence,且对同 source 和同坐标候选去重。
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## 内置 resolver
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| Resolver | 文件 | 职责 |
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| --- | --- | --- |
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| `SourceCoordinatesResolver` | `resolvers/source_coordinates.py` | 源记录已有 lat/lon 时直接产出 `precision="precise"` |
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| `RegistryResolver` | `resolvers/registry.py` | 遗留通用 resolver;当前算力中心和 BGP 运行时链路不使用它生成候选 |
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| `NominatimResolver` | `resolvers/nominatim.py` | 按领域 query plan 调 Nominatim,带 LRU 缓存和速率限制 |
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| `InheritFromAnotherEntityResolver` | `resolvers/inherit.py` | 把外部实体的已解析位置包装为候选 |
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`RegistryResolver` 仍保留给后续可能的受控导入场景,但它不应被重新接入算力中心或 BGP 作为“硬编码 hint”候选源。过去仅凭 `operator`、`city` 等通用字段匹配 registry 容易把多个实体落到同一个点,这是这次下线 registry 候选链路的主要原因。
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## 当前领域管线
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### 算力中心
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入口文件:
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- [compute_center_locations.py](/home/ray/dev/linkong/planet/backend/app/services/compute_center_locations.py)
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管线顺序:
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```python
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SourceCoordinatesResolver()
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StoredComputeCenterLocationResolver()
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```
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主地图启动链路只做“源坐标优先,其次数据库维表坐标”。数据库表为 `compute_center_locations`,唯一键是 `(source, source_id)`,用于保存人工确认或从源记录真实坐标迁入的位置。`init_db()` 只幂等迁入源记录里已有的真实经纬度,不迁入旧硬编码 hint,不在启动期批量调用 ROR、Nominatim 或 LLM。
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手动候选采集链路和渲染链路分开。`collect_location_candidates()` 使用源字段构造 ROR 和 Nominatim/OpenStreetMap 查询,但不会把 `compute_center_locations` 当前坐标当候选返回。用户在前端确认某个候选后,通过保存接口写入维表;之后地图刷新时由 `StoredComputeCenterLocationResolver` 渲染。
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`resolve_compute_center_location()`、`resolve_compute_center_location_full()` 和 `collect_location_candidates()` 保留为领域 API。`visualization.py` 只消费领域 API,不再持有坐标提示常量、国家质心兜底或 Nominatim 细节。
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GeoJSON 输出只包含 `RENDERABLE_PRECISIONS` 内的位置。未解析记录进入 `unresolved`,并带上 `failure_reason`、`attempted_queries`、`source_id`、`record_id` 等诊断字段。
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### BGP 观测站
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入口文件:
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- [bgp_collector_locations.py](/home/ray/dev/linkong/planet/backend/app/services/bgp_collector_locations.py)
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- [bgp_collector_location.py](/home/ray/dev/linkong/planet/backend/app/models/bgp_collector_location.py)
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管线顺序:
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```python
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SourceCoordinatesResolver()
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StoredCollectorLocationResolver()
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NominatimResolver(_bgp_collector_query_plan)
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```
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23 个 RIPE RIS collector 坐标从旧表迁入 `bgp_collector_locations` 维表,默认 `source=legacy_seed`、`needs_confirmation=true`。旧字典仍由 DB-backed cache 维护,保证下游接口兼容;手动候选采集不会把这份维表坐标当作候选,只用它补齐 site/city/country 查询上下文。
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### BGP 事件
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入口文件:
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- [bgp_event_locations.py](/home/ray/dev/linkong/planet/backend/app/services/bgp_event_locations.py)
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管线顺序:
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```python
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SourceCoordinatesResolver()
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InheritFromAnotherEntityResolver(_inherit_from_owning_collector)
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```
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事件继承使用所属 collector 的严格查找,不跑完整 collector registry 模糊匹配。后续 ASN 设施、PrefixGeo 或 PeeringDB resolver 可以挂在继承 resolver 之后。
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## API envelope
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```http
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POST /api/v1/visualization/compute-centers/{source_id}/collect-location
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POST /api/v1/visualization/compute-centers/{source_id}/location
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POST /api/v1/bgp/collectors/{collector_id}/collect-location
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```
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`collect-location` 返回统一 envelope:
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```json
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{
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"success": true,
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"candidates": [],
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"best_candidate": {},
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"attempted_queries": [],
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"context": {}
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}
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```
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`POST /api/v1/visualization/compute-centers/{source_id}/location` 把前端选中的候选 upsert 到 `compute_center_locations`。人工保存默认 `needs_confirmation=false`、`verification_status="verified"` 并写入 `verified_at`;如果后续接入自动暂存,也可以显式传 `needs_confirmation=true`。
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前端 [info-card.js](/home/ray/dev/linkong/planet/frontend/public/earth/js/info-card.js) 使用通用候选列表和预览事件渲染对象详情卡。算力中心图层按钮左上角会显示 `unresolved` 数量;点击角标打开待定位列表。列表中的 `采集` 只拉候选,`一键采用` 会逐条调用候选采集接口,选择最高置信且有有效经纬度的候选保存。保存成功一条就从列表移除并重新编号,同时通过 `earth:compute-center-unresolved-count-change` 同步角标;批量结束后再触发 `earth:compute-center-location-saved` 刷新真实图层。
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如果剩余记录没有任何 city-level 候选,批量采用不会伪造坐标。前端会保留这些记录并展示后端返回的 `failure_reason` 和已尝试查询。
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## 新增 resolver
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resolver 只需要实现 `name` 和 `resolve()`,返回 `ResolverOutput`。
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```python
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class PeeringDBFacilityResolver:
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name = "peeringdb_facility"
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def __init__(self, client):
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self._client = client
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def resolve(self, query):
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asn = query.extra.get("origin_asn")
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if not asn:
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return ResolverOutput()
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return ResolverOutput(candidates=tuple(
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LocationCandidate(
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latitude=f.latitude,
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longitude=f.longitude,
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display_name=f.name,
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precision="site",
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confidence=0.78,
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query=f"peeringdb::{asn}",
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source=self.name,
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source_note=f"PeeringDB facility for AS{asn}",
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matched_fields=("origin_asn",),
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needs_confirmation=False,
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city=f.city,
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country=f.country,
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)
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for f in self._client.facilities_for_asn(asn)
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))
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```
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挂入:
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```python
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BGP_EVENT_PIPELINE = LocationPipeline([
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SourceCoordinatesResolver(),
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InheritFromAnotherEntityResolver(source_lookup=...),
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PeeringDBFacilityResolver(client=peeringdb_client),
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])
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```
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## 测试覆盖
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相关测试:
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- [test_location_pipeline.py](/home/ray/dev/linkong/planet/backend/tests/test_location_pipeline.py)
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- [test_bgp_collector_locations.py](/home/ray/dev/linkong/planet/backend/tests/test_bgp_collector_locations.py)
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- [test_visualization_compute_centers.py](/home/ray/dev/linkong/planet/backend/tests/test_visualization_compute_centers.py)
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测试重点包括 resolver 可插拔性、注册表 alias 约束、BGP collector 兼容字典、算力中心公共 API 兼容、不可渲染位置进入 `unresolved`。
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