This commit is contained in:
张成
2026-03-02 16:38:40 +08:00
30 changed files with 545 additions and 73 deletions

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@@ -2,45 +2,3 @@
# 免费申请: https://account.mapbox.com/access-tokens/ # 免费申请: https://account.mapbox.com/access-tokens/
# 复制本文件为 .env 并填入你的 token # 复制本文件为 .env 并填入你的 token
VITE_MAPBOX_ACCESS_TOKEN=your_mapbox_public_token_here VITE_MAPBOX_ACCESS_TOKEN=your_mapbox_public_token_here
27 个基地完整 JSON 数据
[
{ "id": 1, "name": "Al Udeid Air Base", "country": "Qatar", "lat": 25.117, "lng": 51.314 },
{ "id": 2, "name": "Camp As Sayliyah", "country": "Qatar", "lat": 25.275, "lng": 51.520 },
{ "id": 3, "name": "Naval Support Activity Bahrain", "country": "Bahrain", "lat": 26.236, "lng": 50.608 },
{ "id": 4, "name": "Camp Arifjan", "country": "Kuwait", "lat": 28.832, "lng": 47.799 },
{ "id": 5, "name": "Ali Al Salem Air Base", "country": "Kuwait", "lat": 29.346, "lng": 47.520 },
{ "id": 6, "name": "Camp Buehring", "country": "Kuwait", "lat": 29.603, "lng": 47.456 },
{ "id": 7, "name": "Al Dhafra Air Base", "country": "UAE", "lat": 24.248, "lng": 54.547 },
{ "id": 8, "name": "Prince Sultan Air Base", "country": "Saudi Arabia", "lat": 24.062, "lng": 47.580 },
{ "id": 9, "name": "Eskan Village", "country": "Saudi Arabia", "lat": 24.774, "lng": 46.738 },
{ "id": 10, "name": "Al Asad Airbase", "country": "Iraq", "lat": 33.785, "lng": 42.441 },
{ "id": 11, "name": "Erbil Air Base", "country": "Iraq", "lat": 36.237, "lng": 43.963 },
{ "id": 12, "name": "Baghdad Diplomatic Support Center", "country": "Iraq", "lat": 33.315, "lng": 44.366 },
{ "id": 13, "name": "Camp Taji", "country": "Iraq", "lat": 33.556, "lng": 44.256 },
{ "id": 14, "name": "Ain al-Asad", "country": "Iraq", "lat": 33.800, "lng": 42.450 },
{ "id": 15, "name": "Al-Tanf Garrison", "country": "Syria", "lat": 33.490, "lng": 38.618 },
{ "id": 16, "name": "Rmelan Landing Zone", "country": "Syria", "lat": 37.015, "lng": 41.885 },
{ "id": 17, "name": "Shaddadi Base", "country": "Syria", "lat": 36.058, "lng": 40.730 },
{ "id": 18, "name": "Conoco Gas Field Base", "country": "Syria", "lat": 35.336, "lng": 40.295 },
{ "id": 19, "name": "Muwaffaq Salti Air Base", "country": "Jordan", "lat": 32.356, "lng": 36.259 },
{ "id": 20, "name": "Incirlik Air Base", "country": "Turkey", "lat": 37.002, "lng": 35.425 },
{ "id": 21, "name": "Kurecik Radar Station", "country": "Turkey", "lat": 38.354, "lng": 37.794 },
{ "id": 22, "name": "Nevatim Air Base", "country": "Israel", "lat": 31.208, "lng": 35.012 },
{ "id": 23, "name": "Ramon Air Base", "country": "Israel", "lat": 30.776, "lng": 34.666 },
{ "id": 24, "name": "Thumrait Air Base", "country": "Oman", "lat": 17.666, "lng": 54.024 },
{ "id": 25, "name": "Masirah Air Base", "country": "Oman", "lat": 20.675, "lng": 58.890 },
{ "id": 26, "name": "West Cairo Air Base", "country": "Egypt", "lat": 30.915, "lng": 30.298 },
{ "id": 27, "name": "Camp Lemonnier", "country": "Djibouti", "lat": 11.547, "lng": 43.159 }
]

111
DEPLOY.md Normal file
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@@ -0,0 +1,111 @@
# Docker 部署到服务器
将 US-Iran 态势面板打包成 Docker 镜像,便于移植到任意服务器。
## 架构
| 服务 | 端口 | 说明 |
|--------|------|--------------------------|
| api | 3001 | 前端静态 + REST API + WebSocket |
| crawler| 8000 | RSS 爬虫 + GDELT内部服务 |
- 数据库SQLite挂载到 `app-data` volume`/data/data.db`
- 前端与 API 合并到同一镜像,访问 `http://主机:3001` 即可
## 快速部署
```bash
# 1. 克隆项目
git clone <repo> usa-dashboard && cd usa-dashboard
# 2. 构建并启动(需先配置 Mapbox Token见下方
docker compose up -d --build
# 3. 访问
# 前端 + API: http://localhost:3001
# 爬虫状态: http://localhost:8000/crawler/status
```
## Mapbox Token地图展示
构建时需将 Token 传入前端,否则地图为占位模式:
```bash
# 方式 1.env 文件
echo "VITE_MAPBOX_ACCESS_TOKEN=pk.xxx" > .env
docker compose up -d --build
# 方式 2环境变量
VITE_MAPBOX_ACCESS_TOKEN=pk.xxx docker compose up -d --build
```
## 推送到私有仓库并移植
```bash
# 1. 打标签(替换为你的仓库地址)
docker compose build
docker tag usa-dashboard-api your-registry/usa-dashboard-api:latest
docker tag usa-dashboard-crawler your-registry/usa-dashboard-crawler:latest
# 2. 推送
docker push your-registry/usa-dashboard-api:latest
docker push your-registry/usa-dashboard-crawler:latest
# 3. 在目标服务器拉取并启动
docker pull your-registry/usa-dashboard-api:latest
docker pull your-registry/usa-dashboard-crawler:latest
# 需准备 docker-compose.yml 或等效编排,见下方
```
## 仅用镜像启动(无 compose
```bash
# 1. 创建网络与数据卷
docker network create usa-net
docker volume create usa-data
# 2. 启动 API前端+接口)
docker run -d --name api --network usa-net \
-p 3001:3001 \
-v usa-data:/data \
-e DB_PATH=/data/data.db \
usa-dashboard-api
# 3. 启动爬虫(通过 usa-net 访问 api
docker run -d --name crawler --network usa-net \
-v usa-data:/data \
-e DB_PATH=/data/data.db \
-e API_BASE=http://api:3001 \
-e CLEANER_AI_DISABLED=1 \
-e GDELT_DISABLED=1 \
usa-dashboard-crawler
```
爬虫通过 `API_BASE` 调用 Node 的 `/api/crawler/notify`,两容器需在同一网络内。
## 国内服务器 / 镜像加速
拉取 `node``python` 等基础镜像慢时:
1. **Docker 镜像加速**:见 [docs/DOCKER_MIRROR.md](docs/DOCKER_MIRROR.md)
2. **构建时使用国内镜像源**
```bash
docker compose build --build-arg REGISTRY=docker.m.daocloud.io/library/
docker compose up -d
```
## 常用操作
```bash
# 查看日志
docker compose logs -f
# 重启
docker compose restart
# 停止并删除容器(数据卷保留)
docker compose down
# 回填战损数据(从 situation_update 重新提取)
curl -X POST http://localhost:8000/crawler/backfill
```

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@@ -1,5 +1,7 @@
# 前端 + API 一体化镜像(使用 DaoCloud 国内镜像源) # 前端 + API 一体化镜像
FROM docker.m.daocloud.io/library/node:20-alpine AS frontend-builder # 国内服务器拉取慢时,可加 --build-arg REGISTRY=docker.m.daocloud.io/library
ARG REGISTRY=
FROM ${REGISTRY}node:20-alpine AS frontend-builder
WORKDIR /app WORKDIR /app
ARG VITE_MAPBOX_ACCESS_TOKEN ARG VITE_MAPBOX_ACCESS_TOKEN
ENV VITE_MAPBOX_ACCESS_TOKEN=${VITE_MAPBOX_ACCESS_TOKEN} ENV VITE_MAPBOX_ACCESS_TOKEN=${VITE_MAPBOX_ACCESS_TOKEN}
@@ -9,7 +11,7 @@ RUN npm ci
COPY . . COPY . .
RUN npm run build RUN npm run build
FROM docker.m.daocloud.io/library/node:20-alpine FROM ${REGISTRY}node:20-alpine
WORKDIR /app WORKDIR /app
COPY package*.json ./ COPY package*.json ./
RUN npm ci --omit=dev RUN npm ci --omit=dev

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@@ -1,9 +1,11 @@
# Python 爬虫服务(使用 DaoCloud 国内镜像源 + 清华 PyPI 源) # Python 爬虫服务
FROM docker.m.daocloud.io/library/python:3.11-slim # 国内服务器可加 --build-arg REGISTRY=docker.m.daocloud.io/library
ARG REGISTRY=
FROM ${REGISTRY}python:3.11-slim
WORKDIR /app WORKDIR /app
COPY crawler/requirements.txt ./ COPY crawler/requirements.txt ./
RUN pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt RUN pip install --no-cache-dir -r requirements.txt
COPY crawler ./ COPY crawler ./
ENV DB_PATH=/data/data.db ENV DB_PATH=/data/data.db

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@@ -66,6 +66,12 @@ API 会由 Vite 代理到 `/api`,前端通过 `/api/situation` 获取完整态
3. 查看爬虫状态:`curl http://localhost:8000/crawler/status`(需爬虫服务已启动) 3. 查看爬虫状态:`curl http://localhost:8000/crawler/status`(需爬虫服务已启动)
4. 数据库面板 `/db` 每 30 秒自动刷新,可观察 situation_update 条数是否增加 4. 数据库面板 `/db` 每 30 秒自动刷新,可观察 situation_update 条数是否增加
### 面板数据 / 地图 / 战损不更新时
- **确保 API 与爬虫共用同一数据库**本地开发时Node 默认用 `server/data.db`,爬虫默认用 `../server/data.db`(同文件)。若 Node 在本地、爬虫在 Docker则数据库不同面板不会更新。
- **Docker 部署**`GDELT_DISABLED=1` 时,地图冲突点由 RSS 新闻填充;战损与基地状态由规则/AI 提取后写入 `combat_losses``key_location`
- **排查**:访问 `/db``situation_update``gdelt_events``combat_losses` 是否在增长;确认 API 已启动且前端能访问 `/api/situation`
## Development ## Development
```bash ```bash
@@ -88,6 +94,8 @@ docker compose up -d
# 数据库与爬虫共享 volume首次启动自动 seed # 数据库与爬虫共享 volume首次启动自动 seed
``` ```
**迁移到服务器**:见 [DEPLOY.md](DEPLOY.md)(构建、推送、单机/多机部署说明)
**拉取镜像超时?** 在 Docker Desktop 配置镜像加速,见 [docs/DOCKER_MIRROR.md](docs/DOCKER_MIRROR.md) **拉取镜像超时?** 在 Docker Desktop 配置镜像加速,见 [docs/DOCKER_MIRROR.md](docs/DOCKER_MIRROR.md)
**开发时无需每次 rebuild**:使用开发模式挂载源码 + 热重载: **开发时无需每次 rebuild**:使用开发模式挂载源码 + 热重载:

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@@ -25,7 +25,24 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
loss_us, loss_ir = {}, {} loss_us, loss_ir = {}, {}
# 美军人员伤亡 # 美军人员伤亡(中文,优先匹配)
v = _first_int(t, r"造成\s*(\d+)\s*名?\s*美军\s*伤亡")
if v is not None:
loss_us["personnel_killed"] = v
v = _first_int(t, r"(\d+)\s*名?\s*美军\s*伤亡") if loss_us.get("personnel_killed") is None else None
if v is not None:
loss_us["personnel_killed"] = v
v = _first_int(t, r"(\d+)\s*名?\s*(?:美军|美国军队|美国)\s*(?:死亡|阵亡)")
if v is not None:
loss_us["personnel_killed"] = v
v = _first_int(t, r"(\d+)\s*名?\s*(?:美军|美国)\s*受伤")
if v is not None:
loss_us["personnel_wounded"] = v
v = _first_int(t, r"美军\s*伤亡\s*(\d+)")
if v is not None and loss_us.get("personnel_killed") is None:
loss_us["personnel_killed"] = v
# 美军人员伤亡(英文)
v = _first_int(t, r"(?:us|american|u\.?s\.?)[\s\w]*(?:say|report)[\s\w]*(\d+)[\s\w]*(?:troop|soldier|military)[\s\w]*(?:killed|dead)") v = _first_int(t, r"(?:us|american|u\.?s\.?)[\s\w]*(?:say|report)[\s\w]*(\d+)[\s\w]*(?:troop|soldier|military)[\s\w]*(?:killed|dead)")
if v is not None: if v is not None:
loss_us["personnel_killed"] = v loss_us["personnel_killed"] = v
@@ -36,7 +53,18 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
if v is not None: if v is not None:
loss_us["personnel_wounded"] = v loss_us["personnel_wounded"] = v
# 伊朗人员伤亡 # 伊朗人员伤亡(中文)
v = _first_int(t, r"(\d+)\s*名?\s*伊朗\s*伤亡")
if v is not None:
loss_ir["personnel_killed"] = v
v = _first_int(t, r"(\d+)\s*名?\s*(?:伊朗|伊朗军队)\s*(?:死亡|阵亡)")
if v is not None:
loss_ir["personnel_killed"] = v
v = _first_int(t, r"(\d+)\s*名?\s*伊朗\s*受伤")
if v is not None:
loss_ir["personnel_wounded"] = v
# 伊朗人员伤亡(英文)
v = _first_int(t, r"(?:iran|iranian)[\s\w]*(?:say|report)[\s\w]*(\d+)[\s\w]*(?:troop|soldier|guard|killed|dead)") v = _first_int(t, r"(?:iran|iranian)[\s\w]*(?:say|report)[\s\w]*(\d+)[\s\w]*(?:troop|soldier|guard|killed|dead)")
if v is not None: if v is not None:
loss_ir["personnel_killed"] = v loss_ir["personnel_killed"] = v
@@ -47,24 +75,27 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
if v is not None: if v is not None:
loss_ir["personnel_wounded"] = v loss_ir["personnel_wounded"] = v
# 平民伤亡(多不区分阵营,计入双方或仅 us 因多为美国基地周边 # 平民伤亡(中英文
v = _first_int(t, r"(\d+)[\s\w]*(?:civilian|civil)[\s\w]*(?:killed|dead)") v = _first_int(t, r"(\d+)\s*名?\s*平民\s*(?:伤亡|死亡)")
if v is not None:
loss_us["civilian_killed"] = v
v = _first_int(t, r"(\d+)[\s\w]*(?:civilian|civil)[\s\w]*(?:killed|dead)") if loss_us.get("civilian_killed") is None else None
if v is not None: if v is not None:
loss_us["civilian_killed"] = v loss_us["civilian_killed"] = v
v = _first_int(t, r"(\d+)[\s\w]*(?:civilian|civil)[\s\w]*(?:wounded|injured)") v = _first_int(t, r"(\d+)[\s\w]*(?:civilian|civil)[\s\w]*(?:wounded|injured)")
if v is not None: if v is not None:
loss_us["civilian_wounded"] = v loss_us["civilian_wounded"] = v
# 基地损毁(美方基地居多) # 基地损毁(美方基地居多)+ 中文
v = _first_int(t, r"(\d+)[\s\w]*(?:base)[\s\w]*(?:destroyed|leveled)") v = _first_int(t, r"(\d+)[\s\w]*(?:base|基地)[\s\w]*(?:destroyed|leveled|摧毁|夷平)")
if v is not None: if v is not None:
loss_us["bases_destroyed"] = v loss_us["bases_destroyed"] = v
v = _first_int(t, r"(\d+)[\s\w]*(?:base)[\s\w]*(?:damaged|hit|struck)") v = _first_int(t, r"(\d+)[\s\w]*(?:base|基地)[\s\w]*(?:damaged|hit|struck|受损|袭击)")
if v is not None: if v is not None:
loss_us["bases_damaged"] = v loss_us["bases_damaged"] = v
if "base" in t and ("destroy" in t or "level" in t) and not loss_us.get("bases_destroyed"): if ("base" in t or "基地" in t) and ("destroy" in t or "level" in t or "摧毁" in t or "夷平" in t) and not loss_us.get("bases_destroyed"):
loss_us["bases_destroyed"] = 1 loss_us["bases_destroyed"] = 1
if "base" in t and ("damage" in t or "hit" in t or "struck" in t or "strike" in t) and not loss_us.get("bases_damaged"): if ("base" in t or "基地" in t) and ("damage" in t or "hit" in t or "struck" in t or "strike" in t or "袭击" in t or "受损" in t) and not loss_us.get("bases_damaged"):
loss_us["bases_damaged"] = 1 loss_us["bases_damaged"] = 1
# 战机 / 舰船(根据上下文判断阵营) # 战机 / 舰船(根据上下文判断阵营)
@@ -87,9 +118,48 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
out.setdefault("combat_losses_delta", {})["us"] = loss_us out.setdefault("combat_losses_delta", {})["us"] = loss_us
if loss_ir: if loss_ir:
out.setdefault("combat_losses_delta", {})["iran"] = loss_ir out.setdefault("combat_losses_delta", {})["iran"] = loss_ir
if "retaliat" in t or "revenge" in t or "报复" in t: if "retaliat" in t or "revenge" in t or "报复" in t or "反击" in t:
out["retaliation"] = {"value": 75, "time": ts} out["retaliation"] = {"value": 75, "time": ts}
if "wall street" in t or " dow " in t or "s&p" in t or "market slump" in t or "stock fall" in t or "美股" in t: if "wall street" in t or " dow " in t or "s&p" in t or "market slump" in t or "stock fall" in t or "美股" in t:
out["wall_street"] = {"time": ts, "value": 55} out["wall_street"] = {"time": ts, "value": 55}
# key_location_updates受袭基地与 key_location.name 匹配)
# 新闻提及基地遭袭时,更新对应基地 status
base_attacked = ("base" in t or "基地" in t) and ("attack" in t or "hit" in t or "strike" in t or "damage" in t or "袭击" in t or "打击" in t)
if base_attacked:
updates: list = []
# 常见美军基地关键词 -> name_keywords用于 db_merge 的 LIKE 匹配)
bases_all = [
("阿萨德|阿因|asad|assad|ain", "us"),
("巴格达|baghdad", "us"),
("乌代德|udeid|卡塔尔|qatar", "us"),
("阿克罗蒂里|akrotiri|塞浦路斯|cyprus", "us"),
("巴格拉姆|bagram|阿富汗|afghanistan", "us"),
("埃尔比勒|erbil", "us"),
("因吉尔利克|incirlik|土耳其|turkey", "us"),
("苏尔坦|sultan|沙特|saudi", "us"),
("坦夫|tanf|叙利亚|syria", "us"),
("达夫拉|dhafra|阿联酋|uae", "us"),
("内瓦提姆|nevatim|拉蒙|ramon|以色列|israel", "us"),
("赛利耶|sayliyah", "us"),
("巴林|bahrain", "us"),
("科威特|kuwait", "us"),
# 伊朗基地
("阿巴斯港|abbas|bandar abbas", "iran"),
("德黑兰|tehran", "iran"),
("布什尔|bushehr", "iran"),
("伊斯法罕|isfahan|esfahan", "iran"),
("纳坦兹|natanz", "iran"),
("米纳布|minab", "iran"),
("卡拉季|karaj", "iran"),
("克尔曼沙赫|kermanshah", "iran"),
("大不里士|tabriz", "iran"),
("霍尔木兹|hormuz", "iran"),
]
for kws, side in bases_all:
if any(k in t for k in kws.split("|")):
updates.append({"name_keywords": kws, "side": side, "status": "attacked", "damage_level": 2})
if updates:
out["key_location_updates"] = updates
return out return out

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@@ -54,23 +54,56 @@ EVENT_CACHE: List[dict] = []
def calculate_impact_score(title: str) -> int: def calculate_impact_score(title: str) -> int:
score = 1 score = 1
t = (title or "").lower() t = (title or "").lower()
if "missile" in t: if "missile" in t or "导弹" in t:
score += 3 score += 3
if "strike" in t: if "strike" in t or "袭击" in t or "打击" in t:
score += 2 score += 2
if "killed" in t or "death" in t or "casualt" in t: if "killed" in t or "death" in t or "casualt" in t or "死亡" in t or "伤亡" in t:
score += 4 score += 4
if "troops" in t or "soldier" in t: if "troops" in t or "soldier" in t or "士兵" in t or "军人" in t:
score += 2 score += 2
if "attack" in t or "attacked" in t: if "attack" in t or "attacked" in t or "攻击" in t:
score += 3 score += 3
if "nuclear" in t or "" in t: if "nuclear" in t or "" in t:
score += 4 score += 4
if "explosion" in t or "blast" in t or "bomb" in t: if "explosion" in t or "blast" in t or "bomb" in t or "爆炸" in t:
score += 2 score += 2
return min(score, 10) return min(score, 10)
# 根据 severity 映射到 impact_score
def _severity_to_score(sev: str) -> int:
m = {"critical": 9, "high": 7, "medium": 5, "low": 2}
return m.get((sev or "").lower(), 5)
# 根据文本推断坐标 [lng, lat],用于 GDELT 禁用时 RSS→gdelt_events
_LOC_COORDS = [
(["阿克罗蒂里", "akrotiri", "塞浦路斯", "cyprus"], (32.98, 34.58)),
(["巴格拉姆", "bagram", "阿富汗", "afghanistan"], (69.26, 34.95)),
(["巴格达", "baghdad", "伊拉克", "iraq"], (44.37, 33.31)),
(["贝鲁特", "beirut", "黎巴嫩", "lebanon"], (35.49, 33.89)),
(["耶路撒冷", "jerusalem", "特拉维夫", "tel aviv", "以色列", "israel"], (35.21, 31.77)),
(["阿巴斯港", "bandar abbas", "霍尔木兹", "hormuz"], (56.27, 27.18)),
(["米纳布", "minab"], (57.08, 27.13)),
(["德黑兰", "tehran", "伊朗", "iran"], (51.389, 35.689)),
(["大马士革", "damascus", "叙利亚", "syria"], (36.28, 33.50)),
(["迪拜", "dubai", "阿联酋", "uae"], (55.27, 25.20)),
(["沙特", "saudi"], (46.73, 24.71)),
(["巴基斯坦", "pakistan"], (73.06, 33.72)),
(["奥斯汀", "austin"], (-97.74, 30.27)),
]
def _infer_coords(text: str) -> tuple:
t = (text or "").lower()
for kws, (lng, lat) in _LOC_COORDS:
for k in kws:
if k in t:
return (lng, lat)
return (IRAN_COORD[0], IRAN_COORD[1])
# ========================== # ==========================
# 获取 GDELT 实时事件 # 获取 GDELT 实时事件
# ========================== # ==========================
@@ -216,6 +249,39 @@ def _notify_node() -> None:
print(f" [warn] notify API: {e}") print(f" [warn] notify API: {e}")
def _rss_to_gdelt_fallback() -> None:
"""GDELT 禁用时,将 situation_update 同步到 gdelt_events使地图有冲突点"""
if not GDELT_DISABLED or not os.path.exists(DB_PATH):
return
try:
conn = sqlite3.connect(DB_PATH, timeout=10)
rows = conn.execute(
"SELECT id, timestamp, category, summary, severity FROM situation_update ORDER BY timestamp DESC LIMIT 50"
).fetchall()
conn.close()
events = []
for r in rows:
uid, ts, cat, summary, sev = r
lng, lat = _infer_coords((summary or "")[:300])
impact = _severity_to_score(sev)
events.append({
"event_id": f"rss_{uid}",
"event_time": ts,
"title": (summary or "")[:500],
"lat": lat,
"lng": lng,
"impact_score": impact,
"url": "",
})
if events:
global EVENT_CACHE
EVENT_CACHE = events
_write_to_db(events)
_notify_node()
except Exception as e:
print(f" [warn] RSS→gdelt fallback: {e}")
# ========================== # ==========================
# RSS 新闻抓取(补充 situation_update + AI 提取面板数据) # RSS 新闻抓取(补充 situation_update + AI 提取面板数据)
# ========================== # ==========================
@@ -243,6 +309,9 @@ def fetch_news() -> None:
LAST_FETCH["inserted"] = n LAST_FETCH["inserted"] = n
if items: if items:
_extract_and_merge_panel_data(items) _extract_and_merge_panel_data(items)
# GDELT 禁用时用 RSS 填充 gdelt_events使地图有冲突点
if GDELT_DISABLED:
_rss_to_gdelt_fallback()
# 每次抓取完成都通知 Node 更新时间戳,便于「实时更新」显示 # 每次抓取完成都通知 Node 更新时间戳,便于「实时更新」显示
_notify_node() _notify_node()
print(f"[{datetime.now().strftime('%H:%M:%S')}] RSS 抓取 {len(items)} 条,新增入库 {n}") print(f"[{datetime.now().strftime('%H:%M:%S')}] RSS 抓取 {len(items)} 条,新增入库 {n}")
@@ -264,7 +333,7 @@ def _extract_and_merge_panel_data(items: list) -> None:
from datetime import timezone from datetime import timezone
merged_any = False merged_any = False
# 规则模式可多处理几条(无 OllamaAI 模式限制 5 条避免调用过多 # 规则模式可多处理几条(无 OllamaAI 模式限制 5 条避免调用过多
limit = 10 if os.environ.get("CLEANER_AI_DISABLED", "0") == "1" else 5 limit = 25 if os.environ.get("CLEANER_AI_DISABLED", "0") == "1" else 10
for it in items[:limit]: for it in items[:limit]:
text = (it.get("title", "") or "") + " " + (it.get("summary", "") or "") text = (it.get("title", "") or "") + " " + (it.get("summary", "") or "")
if len(text.strip()) < 20: if len(text.strip()) < 20:
@@ -314,6 +383,40 @@ async def _periodic_fetch() -> None:
# ========================== # ==========================
# API 接口 # API 接口
# ========================== # ==========================
@app.post("/crawler/backfill")
def crawler_backfill():
"""从 situation_update 重新解析并合并战损/报复等数据,用于修复历史数据未提取的情况"""
if not os.path.exists(DB_PATH):
return {"ok": False, "error": "db not found"}
try:
from db_merge import merge
if os.environ.get("CLEANER_AI_DISABLED", "0") == "1":
from extractor_rules import extract_from_news
else:
from extractor_ai import extract_from_news
conn = sqlite3.connect(DB_PATH, timeout=10)
rows = conn.execute(
"SELECT id, timestamp, category, summary FROM situation_update ORDER BY timestamp DESC LIMIT 50"
).fetchall()
conn.close()
merged = 0
for r in rows:
uid, ts, cat, summary = r
text = ((cat or "") + " " + (summary or "")).strip()
if len(text) < 20:
continue
try:
extracted = extract_from_news(text, timestamp=ts)
if extracted and merge(extracted, db_path=DB_PATH):
merged += 1
except Exception:
pass
_notify_node()
return {"ok": True, "processed": len(rows), "merged": merged}
except Exception as e:
return {"ok": False, "error": str(e)}
@app.get("/crawler/status") @app.get("/crawler/status")
def crawler_status(): def crawler_status():
"""爬虫状态:用于排查数据更新链路""" """爬虫状态:用于排查数据更新链路"""

View File

@@ -1,5 +1,6 @@
services: services:
api: api:
image: usa-dashboard-api:latest
build: build:
context: . context: .
args: args:
@@ -14,6 +15,7 @@ services:
restart: unless-stopped restart: unless-stopped
crawler: crawler:
image: usa-dashboard-crawler:latest
build: build:
context: . context: .
dockerfile: Dockerfile.crawler dockerfile: Dockerfile.crawler

6
package-lock.json generated
View File

@@ -15,6 +15,7 @@
"express": "^4.21.1", "express": "^4.21.1",
"lucide-react": "^0.460.0", "lucide-react": "^0.460.0",
"mapbox-gl": "^3.6.0", "mapbox-gl": "^3.6.0",
"opencc-js": "^1.0.5",
"react": "^18.3.1", "react": "^18.3.1",
"react-dom": "^18.3.1", "react-dom": "^18.3.1",
"react-map-gl": "^7.1.7", "react-map-gl": "^7.1.7",
@@ -3885,6 +3886,11 @@
"wrappy": "1" "wrappy": "1"
} }
}, },
"node_modules/opencc-js": {
"version": "1.0.5",
"resolved": "https://registry.npmmirror.com/opencc-js/-/opencc-js-1.0.5.tgz",
"integrity": "sha512-LD+1SoNnZdlRwtYTjnQdFrSVCAaYpuDqL5CkmOaHOkKoKh7mFxUicLTRVNLU5C+Jmi1vXQ3QL4jWdgSaa4sKjg=="
},
"node_modules/optionator": { "node_modules/optionator": {
"version": "0.9.4", "version": "0.9.4",
"resolved": "https://registry.npmmirror.com/optionator/-/optionator-0.9.4.tgz", "resolved": "https://registry.npmmirror.com/optionator/-/optionator-0.9.4.tgz",

View File

@@ -24,6 +24,7 @@
"express": "^4.21.1", "express": "^4.21.1",
"lucide-react": "^0.460.0", "lucide-react": "^0.460.0",
"mapbox-gl": "^3.6.0", "mapbox-gl": "^3.6.0",
"opencc-js": "^1.0.5",
"react": "^18.3.1", "react": "^18.3.1",
"react-dom": "^18.3.1", "react-dom": "^18.3.1",
"react-map-gl": "^7.1.7", "react-map-gl": "^7.1.7",

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View File

@@ -134,9 +134,16 @@ function seed() {
insertLoc.run('us', loc.name, loc.lat, loc.lng, loc.type, loc.region, loc.status, loc.damage_level) insertLoc.run('us', loc.name, loc.lat, loc.lng, loc.type, loc.region, loc.status, loc.damage_level)
} }
const iranLocs = [ const iranLocs = [
['iran', '阿巴斯港', 27.1832, 56.2666, 'Port', '伊朗', null, null], ['iran', '阿巴斯港海军司令部', 27.18, 56.27, 'Port', '伊朗', 'attacked', 3],
['iran', '德黑兰', 35.6892, 51.389, 'Capital', '伊朗', null, null], ['iran', '德黑兰', 35.6892, 51.389, 'Capital', '伊朗', 'attacked', 3],
['iran', '布什尔', 28.9681, 50.838, 'Base', '伊朗', null, null], ['iran', '布什尔核电站', 28.9681, 50.838, 'Nuclear', '伊朗', 'attacked', 2],
['iran', '伊斯法罕核设施', 32.654, 51.667, 'Nuclear', '伊朗', 'attacked', 2],
['iran', '纳坦兹铀浓缩', 33.666, 51.916, 'Nuclear', '伊朗', 'attacked', 2],
['iran', '米纳布岸防', 27.13, 57.08, 'Base', '伊朗', 'damaged', 2],
['iran', '卡拉季无人机厂', 35.808, 51.002, 'Base', '伊朗', 'attacked', 2],
['iran', '克尔曼沙赫导弹阵地', 34.314, 47.076, 'Missile', '伊朗', 'attacked', 2],
['iran', '大不里士空军基地', 38.08, 46.29, 'Base', '伊朗', 'damaged', 1],
['iran', '霍尔木兹岸防阵地', 27.0, 56.5, 'Base', '伊朗', 'operational', null],
] ]
iranLocs.forEach((r) => insertLoc.run(...r)) iranLocs.forEach((r) => insertLoc.run(...r))

View File

@@ -41,7 +41,7 @@ function getSituation() {
const assetsUs = db.prepare('SELECT * FROM force_asset WHERE side = ? ORDER BY id').all('us') const assetsUs = db.prepare('SELECT * FROM force_asset WHERE side = ? ORDER BY id').all('us')
const assetsIr = db.prepare('SELECT * FROM force_asset WHERE side = ? ORDER BY id').all('iran') const assetsIr = db.prepare('SELECT * FROM force_asset WHERE side = ? ORDER BY id').all('iran')
const locUs = db.prepare('SELECT id, name, lat, lng, type, region, status, damage_level FROM key_location WHERE side = ?').all('us') const locUs = db.prepare('SELECT id, name, lat, lng, type, region, status, damage_level FROM key_location WHERE side = ?').all('us')
const locIr = db.prepare('SELECT id, name, lat, lng, type, region FROM key_location WHERE side = ?').all('iran') const locIr = db.prepare('SELECT id, name, lat, lng, type, region, status, damage_level FROM key_location WHERE side = ?').all('iran')
const lossesUs = db.prepare('SELECT * FROM combat_losses WHERE side = ?').get('us') const lossesUs = db.prepare('SELECT * FROM combat_losses WHERE side = ?').get('us')
const lossesIr = db.prepare('SELECT * FROM combat_losses WHERE side = ?').get('iran') const lossesIr = db.prepare('SELECT * FROM combat_losses WHERE side = ?').get('iran')
const trend = db.prepare('SELECT time, value FROM wall_street_trend ORDER BY time').all() const trend = db.prepare('SELECT time, value FROM wall_street_trend ORDER BY time').all()

View File

@@ -0,0 +1,72 @@
import { useMemo } from 'react'
import { MapPin, AlertTriangle, AlertCircle } from 'lucide-react'
import type { MilitarySituation } from '@/data/mockData'
interface IranBaseStatusPanelProps {
keyLocations: MilitarySituation['iranForces']['keyLocations']
className?: string
}
export function IranBaseStatusPanel({ keyLocations = [], className = '' }: IranBaseStatusPanelProps) {
const stats = useMemo(() => {
const bases = (keyLocations || []).filter((loc) => loc.type === 'Base' || loc.type === 'Port' || loc.type === 'Nuclear' || loc.type === 'Missile')
let attacked = 0
let severe = 0
let moderate = 0
let light = 0
for (const b of bases) {
const s = b.status ?? 'operational'
if (s === 'attacked') attacked++
const lvl = b.damage_level
if (lvl === 3) severe++
else if (lvl === 2) moderate++
else if (lvl === 1) light++
}
return { total: bases.length, attacked, severe, moderate, light }
}, [keyLocations])
return (
<div
className={`rounded-lg border border-military-border bg-military-panel/80 p-3 font-orbitron ${className}`}
>
<div className="mb-2 flex items-center gap-1.5 text-[10px] uppercase tracking-wider text-military-text-secondary">
<MapPin className="h-3 w-3 shrink-0 text-amber-500" />
</div>
<div className="flex flex-col gap-1.5 text-xs tabular-nums">
<div className="flex items-center justify-between gap-2">
<span className="text-military-text-secondary"></span>
<strong>{stats.total}</strong>
</div>
<div className="flex items-center justify-between gap-2">
<span className="flex items-center gap-1 text-military-text-secondary">
<AlertCircle className="h-3 w-3 text-red-400" />
</span>
<strong className="text-red-400">{stats.attacked}</strong>
</div>
<div className="flex items-center justify-between gap-2">
<span className="flex items-center gap-1 text-military-text-secondary">
<AlertTriangle className="h-3 w-3 text-amber-500" />
</span>
<strong className="text-amber-500">{stats.severe}</strong>
</div>
<div className="flex items-center justify-between gap-2">
<span className="flex items-center gap-1 text-military-text-secondary">
<AlertTriangle className="h-3 w-3 text-amber-400" />
</span>
<strong className="text-amber-400">{stats.moderate}</strong>
</div>
<div className="flex items-center justify-between gap-2">
<span className="flex items-center gap-1 text-military-text-secondary">
<AlertTriangle className="h-3 w-3 text-amber-300" />
</span>
<strong className="text-amber-300">{stats.light}</strong>
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,56 @@
import { useMemo } from 'react'
import type { SituationUpdate, ConflictEvent } from '@/data/mockData'
import { processTickerText } from '@/utils/tickerText'
interface NewsTickerProps {
updates?: SituationUpdate[]
conflictEvents?: ConflictEvent[]
className?: string
}
export function NewsTicker({ updates = [], conflictEvents = [], className = '' }: NewsTickerProps) {
const items = useMemo(() => {
const list: { id: string; text: string }[] = []
for (const e of conflictEvents || []) {
const text = processTickerText(e.title || '')
if (text) list.push({ id: `ev-${e.event_id}`, text })
}
for (const u of updates || []) {
const text = processTickerText(u.summary || '')
if (text) list.push({ id: `up-${u.id}`, text })
}
return list.slice(0, 30)
}, [updates, conflictEvents])
const baseCls = 'flex items-center overflow-hidden'
const defaultCls = 'border-b border-military-border/50 bg-military-panel/60 py-1.5'
const wrapperCls = className ? `${baseCls} ${className}` : `${baseCls} ${defaultCls}`
if (items.length === 0) {
return (
<div className={wrapperCls}>
<span className="shrink-0 pr-2 text-[10px] uppercase text-military-text-secondary"></span>
<span className="text-[11px] text-military-text-secondary"></span>
</div>
)
}
const content = items.map((i) => i.text).join(' ◆ ')
const duration = Math.max(180, Math.min(480, content.length * 0.8))
return (
<div className={wrapperCls}>
<span className="shrink-0 pr-2 text-[10px] font-medium uppercase tracking-wider text-cyan-400"></span>
<div className="min-w-0 flex-1 overflow-hidden">
<div
className="inline-flex whitespace-nowrap text-[11px] text-military-text-secondary"
style={{ animation: `ticker ${duration}s linear infinite` }}
>
<span className="px-2">{content}</span>
<span className="px-2 text-cyan-400/60"></span>
<span className="px-2">{content}</span>
</div>
</div>
</div>
)
}

View File

@@ -1,6 +1,9 @@
import { useEffect, useRef } from 'react' import { useEffect, useRef } from 'react'
import { Play, Pause, SkipBack, SkipForward, History } from 'lucide-react' import { Play, Pause, SkipBack, SkipForward, History } from 'lucide-react'
import { usePlaybackStore, REPLAY_TICKS, REPLAY_START, REPLAY_END } from '@/store/playbackStore' import { usePlaybackStore, REPLAY_TICKS, REPLAY_START, REPLAY_END } from '@/store/playbackStore'
import { useSituationStore } from '@/store/situationStore'
import { NewsTicker } from './NewsTicker'
import { config } from '@/config'
function formatTick(iso: string): string { function formatTick(iso: string): string {
const d = new Date(iso) const d = new Date(iso)
@@ -14,6 +17,7 @@ function formatTick(iso: string): string {
} }
export function TimelinePanel() { export function TimelinePanel() {
const situation = useSituationStore((s) => s.situation)
const { const {
isReplayMode, isReplayMode,
playbackTime, playbackTime,
@@ -75,6 +79,16 @@ export function TimelinePanel() {
</button> </button>
{!isReplayMode && config.showNewsTicker && (
<div className="min-w-0 flex-1">
<NewsTicker
updates={situation.recentUpdates}
conflictEvents={situation.conflictEvents}
className="!border-0 !bg-transparent !py-0 !px-0"
/>
</div>
)}
{isReplayMode && ( {isReplayMode && (
<> <>
<div className="flex items-center gap-1"> <div className="flex items-center gap-1">

View File

@@ -4,6 +4,7 @@ import type { MapRef } from 'react-map-gl'
import type { Map as MapboxMap } from 'mapbox-gl' import type { Map as MapboxMap } from 'mapbox-gl'
import 'mapbox-gl/dist/mapbox-gl.css' import 'mapbox-gl/dist/mapbox-gl.css'
import { useReplaySituation } from '@/hooks/useReplaySituation' import { useReplaySituation } from '@/hooks/useReplaySituation'
import { config } from '@/config'
import { import {
ATTACKED_TARGETS, ATTACKED_TARGETS,
ALLIED_STRIKE_LOCATIONS, ALLIED_STRIKE_LOCATIONS,
@@ -15,7 +16,7 @@ import {
ISRAEL_STRIKE_TARGETS, ISRAEL_STRIKE_TARGETS,
} from '@/data/mapLocations' } from '@/data/mapLocations'
const MAPBOX_TOKEN = import.meta.env.VITE_MAPBOX_ACCESS_TOKEN || '' const MAPBOX_TOKEN = config.mapboxAccessToken || ''
// 相关区域 bbox伊朗、以色列、胡塞区 (minLng, minLat, maxLng, maxLat),覆盖红蓝区域 // 相关区域 bbox伊朗、以色列、胡塞区 (minLng, minLat, maxLng, maxLat),覆盖红蓝区域
const THEATER_BBOX = [22, 11, 64, 41] as const const THEATER_BBOX = [22, 11, 64, 41] as const

10
src/config.ts Normal file
View File

@@ -0,0 +1,10 @@
/**
* 应用配置(不依赖 .env
*/
export const config = {
/** Mapbox 地图令牌 */
mapboxAccessToken:
'pk.eyJ1IjoiZDI5cTAiLCJhIjoiY21oaGRmcTkzMGltZzJscHR1N2FhZnY5dCJ9.7ueF2lS6-C9Mm_xon7NnIA',
/** 是否显示滚动情报 */
showNewsTicker: false,
}

View File

@@ -53,3 +53,9 @@ body,
background: rgba(75, 85, 99, 0.5); background: rgba(75, 85, 99, 0.5);
border-radius: 2px; border-radius: 2px;
} }
@keyframes ticker {
from { transform: translateX(0); }
to { transform: translateX(-50%); }
}

View File

@@ -4,7 +4,7 @@ import { TimelinePanel } from '@/components/TimelinePanel'
import { ForcePanel } from '@/components/ForcePanel' import { ForcePanel } from '@/components/ForcePanel'
import { WarMap } from '@/components/WarMap' import { WarMap } from '@/components/WarMap'
import { CombatLossesPanel } from '@/components/CombatLossesPanel' import { CombatLossesPanel } from '@/components/CombatLossesPanel'
import { EventTimelinePanel } from '@/components/EventTimelinePanel' import { IranBaseStatusPanel } from '@/components/IranBaseStatusPanel'
import { BaseStatusPanel } from '@/components/BaseStatusPanel' import { BaseStatusPanel } from '@/components/BaseStatusPanel'
import { PowerChart } from '@/components/PowerChart' import { PowerChart } from '@/components/PowerChart'
import { InvestmentTrendChart } from '@/components/InvestmentTrendChart' import { InvestmentTrendChart } from '@/components/InvestmentTrendChart'
@@ -71,7 +71,10 @@ export function Dashboard() {
civilianTotal={situation.civilianCasualtiesTotal} civilianTotal={situation.civilianCasualtiesTotal}
className="min-w-0 flex-1 py-1" className="min-w-0 flex-1 py-1"
/> />
<EventTimelinePanel updates={situation.recentUpdates} conflictEvents={situation.conflictEvents} className="min-w-0 shrink-0 min-h-[80px] overflow-hidden lg:min-w-[240px]" /> <IranBaseStatusPanel
keyLocations={situation.iranForces.keyLocations}
className="min-w-0 shrink-0 lg:min-w-[200px]"
/>
</div> </div>
</main> </main>

View File

@@ -49,7 +49,7 @@ export function fetchAndSetSituation(): Promise<void> {
let disconnectWs: (() => void) | null = null let disconnectWs: (() => void) | null = null
let pollInterval: ReturnType<typeof setInterval> | null = null let pollInterval: ReturnType<typeof setInterval> | null = null
const POLL_INTERVAL_MS = 5000 const POLL_INTERVAL_MS = 3000
function pollSituation() { function pollSituation() {
fetchSituation() fetchSituation()

35
src/utils/tickerText.ts Normal file
View File

@@ -0,0 +1,35 @@
/**
* 滚动情报文本处理:转为简体中文,过滤非中文内容
*/
import { Converter } from 'opencc-js/t2cn'
const t2s = Converter({ from: 'twp', to: 'cn' })
/** 简体中文字符范围 */
const ZH_REGEX = /[\u4e00-\u9fff]/g
/** 文本中中文占比是否达标至少30% */
export function isMostlyChinese(text: string): boolean {
if (!text?.trim()) return false
const zh = text.match(ZH_REGEX)
const zhCount = zh ? zh.length : 0
return zhCount / text.length >= 0.3
}
/** 繁体转简体 */
export function toSimplifiedChinese(text: string): string {
if (!text?.trim()) return text
try {
return t2s(text)
} catch {
return text
}
}
/** 处理滚动情报项:转为简体,非中文为主则过滤 */
export function processTickerText(text: string): string | null {
const t = (text || '').trim()
if (!t) return null
if (!isMostlyChinese(t)) return null
return toSimplifiedChinese(t)
}

View File

@@ -11,9 +11,14 @@ export default {
'0%': { transform: 'translateY(0)' }, '0%': { transform: 'translateY(0)' },
'100%': { transform: 'translateY(-50%)' }, '100%': { transform: 'translateY(-50%)' },
}, },
ticker: {
from: { transform: 'translateX(0)' },
to: { transform: 'translateX(-50%)' },
},
}, },
animation: { animation: {
'vert-marquee': 'vert-marquee 25s linear infinite', 'vert-marquee': 'vert-marquee 25s linear infinite',
ticker: 'ticker var(--ticker-duration, 40s) linear infinite',
}, },
fontFamily: { fontFamily: {
orbitron: ['Orbitron', 'sans-serif'], orbitron: ['Orbitron', 'sans-serif'],