fix: 更新数据面板的驱动方式

This commit is contained in:
Daniel
2026-03-02 23:21:07 +08:00
parent ef60f18cb0
commit 92914e6522
22 changed files with 427 additions and 62 deletions

View File

@@ -36,6 +36,8 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
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 None and ("美军" in (text or "") or "美国" in (text or "")):
v = _first_int(text or t, r"另有\s*(\d+)\s*人\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+)")
@@ -57,7 +59,7 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
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)")
v = _first_int(t, r"(\d+)\s*名?\s*(?:伊朗|伊朗军队)[\s\w]*(?: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")
@@ -75,28 +77,42 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
if v is not None:
loss_ir["personnel_wounded"] = v
# 平民伤亡(中英文)
# 平民伤亡(中英文,按阵营归属
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 "伊朗" in text or "iran" in t:
loss_ir["civilian_killed"] = v
else:
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 and loss_ir.get("civilian_killed") is None else None
if v is not None:
loss_us["civilian_killed"] = v
if "iran" in t:
loss_ir["civilian_killed"] = v
else:
loss_us["civilian_killed"] = v
v = _first_int(t, r"(\d+)[\s\w]*(?:civilian|civil)[\s\w]*(?:wounded|injured)")
if v is not None:
loss_us["civilian_wounded"] = v
if "iran" in t:
loss_ir["civilian_wounded"] = v
else:
loss_us["civilian_wounded"] = v
v = _first_int(text or t, r"伊朗[\s\w]*(?:空袭|打击)[\s\w]*造成[^\d]*(\d+)[\s\w]*(?:平民|人|伤亡)")
if v is not None:
loss_ir["civilian_killed"] = v
# 基地损毁(美方基地居多)+ 中文
v = _first_int(t, r"(\d+)[\s\w]*(?:base|基地)[\s\w]*(?:destroyed|leveled|摧毁|夷平)")
if v is not None:
loss_us["bases_destroyed"] = v
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:
loss_us["bases_damaged"] = v
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
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
# 基地损毁(仅匹配 base/基地,排除"军事目标"等泛指)
skip_bases = "军事目标" in (text or "") and "基地" not in (text or "") and "base" not in t
if not skip_bases:
v = _first_int(t, r"(\d+)[\s\w]*(?:base|基地)[\s\w]*(?:destroyed|leveled|摧毁|夷平)")
if v is not None:
loss_us["bases_destroyed"] = v
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:
loss_us["bases_damaged"] = v
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
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
# 战机 / 舰船(根据上下文判断阵营)
v = _first_int(t, r"(\d+)[\s\w]*(?:aircraft|plane|jet|fighter|f-?16|f-?35|f-?18)[\s\w]*(?:down|destroyed|lost|shot)")
@@ -114,6 +130,48 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
else:
loss_us["warships"] = v
# 无人机 drone / uav / 无人机
v = _first_int(t, r"(\d+)[\s\w]*(?:drone|uav|无人机)[\s\w]*(?:down|destroyed|shot|击落|摧毁)")
if v is None:
v = _first_int(text or t, r"(?:击落|摧毁)[^\d]*(\d+)[\s\w]*(?:drone|uav|无人机|架)")
if v is None:
v = _first_int(t, r"(?:drone|uav|无人机)[\s\w]*(\d+)[\s\w]*(?:down|destroyed|shot|击落|摧毁)")
if v is not None:
if "iran" in t or "iranian" in t or "shahed" in t or "沙希德" in t or "伊朗" in (text or ""):
loss_ir["drones"] = v
else:
loss_us["drones"] = v
# 导弹 missile / 导弹
v = _first_int(t, r"(\d+)[\s\w]*(?:missile|导弹)[\s\w]*(?:fired|launched|intercepted|destroyed|发射|拦截|击落)")
if v is not None:
if "iran" in t or "iranian" in t:
loss_ir["missiles"] = v
else:
loss_us["missiles"] = v
v = _first_int(t, r"(?:missile|导弹)[\s\w]*(\d+)[\s\w]*(?:fired|launched|intercepted|destroyed|发射|拦截)") if not loss_us.get("missiles") and not loss_ir.get("missiles") else None
if v is not None:
if "iran" in t:
loss_ir["missiles"] = v
else:
loss_us["missiles"] = v
# 直升机 helicopter / 直升机
v = _first_int(t, r"(\d+)[\s\w]*(?:helicopter|直升机)[\s\w]*(?:down|destroyed|crashed|crashes|击落|坠毁)")
if v is not None:
if "iran" in t or "iranian" in t:
loss_ir["helicopters"] = v
else:
loss_us["helicopters"] = v
# 潜艇 submarine / 潜艇
v = _first_int(t, r"(\d+)[\s\w]*(?:submarine|潜艇)[\s\w]*(?:sunk|damaged|hit|destroyed|击沉|受损)")
if v is not None:
if "iran" in t or "iranian" in t:
loss_ir["submarines"] = v
else:
loss_us["submarines"] = v
if loss_us:
out.setdefault("combat_losses_delta", {})["us"] = loss_us
if loss_ir:
@@ -124,11 +182,14 @@ def extract_from_news(text: str, timestamp: Optional[str] = None) -> Dict[str, A
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)
# 新闻提及基地遭袭时,更新对应基地 status;放宽触发词以匹配更多英文报道
attack_words = ("attack" in t or "attacked" in t or "hit" in t or "strike" in t or "struck" in t or "strikes" in t
or "damage" in t or "damaged" in t or "target" in t or "targeted" in t or "bomb" in t or "bombed" in t
or "袭击" in (text or "") or "遭袭" in (text or "") or "打击" in (text or "") or "受损" in (text or "") or "摧毁" in (text or ""))
base_attacked = ("base" in t or "基地" in t or "outpost" in t or "facility" in t) and attack_words
if base_attacked:
updates: list = []
# 常见美军基地关键词 -> name_keywords用于 db_merge 的 LIKE 匹配)
# 常见美军基地关键词 -> name_keywords用于 db_merge 的 LIKE 匹配,需与 key_location.name 能匹配
bases_all = [
("阿萨德|阿因|asad|assad|ain", "us"),
("巴格达|baghdad", "us"),