feat: implement AI city forecast streaming service and UI components for scan terminal

This commit is contained in:
2569718930@qq.com
2026-04-26 13:43:55 +08:00
parent 5344779e32
commit d42cdf6b51
5 changed files with 77 additions and 48 deletions
+42 -36
View File
@@ -55,6 +55,11 @@ SCAN_TERMINAL_BUILD_TIMEOUT_SEC = max(
SCAN_AI_MODEL = str(
os.getenv("POLYWEATHER_SCAN_AI_MODEL") or "deepseek-v4-pro"
).strip()
SCAN_CITY_AI_MODEL = str(
os.getenv("POLYWEATHER_SCAN_CITY_AI_MODEL")
or os.getenv("POLYWEATHER_SCAN_AI_MODEL")
or "deepseek-v4-flash"
).strip()
SCAN_AI_BASE_URL = str(
os.getenv("POLYWEATHER_DEEPSEEK_BASE_URL") or "https://api.deepseek.com"
).strip().rstrip("/")
@@ -1217,7 +1222,7 @@ def _call_deepseek_scan_ai(ai_input: Dict[str, Any]) -> Dict[str, Any]:
"Content-Type": "application/json",
},
json={
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"temperature": 0.1,
"max_tokens": SCAN_AI_MAX_TOKENS,
"response_format": {"type": "json_object"},
@@ -1342,7 +1347,7 @@ def _call_deepseek_city_ai(ai_input: Dict[str, Any], *, locale: str = "zh-CN") -
normalized_locale = _normalize_locale(locale)
system_prompt = (
"你是 PolyWeather 的 Deepseek V4-Pro 城市最高温预测员。你必须直接阅读用户给出的城市 JSON,"
"你是 PolyWeather 的 DeepSeek 城市最高温预测员。你必须直接阅读用户给出的城市 JSON,"
"判断该城市今日最高温路径。不要写套利、交易、BUY YES/NO、价格、edge 或 Kelly。"
"你的核心输出是:最终最高温点估计、置信区间、置信度、最终判断、机场报文/METAR 解读、判断依据和风险。"
"必须综合 DEB 最终融合值、全部天气模型预测、METAR 实测序列、最新机场报文、峰值窗口、当地时间、季节背景。"
@@ -1389,7 +1394,7 @@ def _call_deepseek_city_ai(ai_input: Dict[str, Any], *, locale: str = "zh-CN") -
pool=5.0,
)
request_json = {
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"temperature": 0.2,
"max_tokens": SCAN_CITY_AI_MAX_TOKENS,
"response_format": {"type": "json_object"},
@@ -1476,7 +1481,7 @@ def _call_deepseek_city_ai(ai_input: Dict[str, Any], *, locale: str = "zh-CN") -
preview,
)
repair_payload = {
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"temperature": 0.0,
"max_tokens": min(max(SCAN_CITY_AI_MAX_TOKENS, 1200), 64000),
"response_format": {"type": "json_object"},
@@ -1580,6 +1585,7 @@ def _scan_city_ai_cache_key(ai_input: Dict[str, Any]) -> str:
key_payload = {
"prompt_version": SCAN_CITY_AI_PROMPT_VERSION,
"schema_version": ai_input.get("schema_version"),
"model": SCAN_CITY_AI_MODEL,
"city": ai_input.get("city"),
"local_date": ai_input.get("local_date"),
"local_time": ai_input.get("local_time"),
@@ -1620,7 +1626,7 @@ def _build_city_ai_stream_request(
"不要写交易建议、BUY/SELL、Kelly 或套利。"
)
return {
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"temperature": 0.2,
"max_tokens": SCAN_CITY_AI_MAX_TOKENS,
"response_format": {"type": "json_object"},
@@ -1691,7 +1697,7 @@ def _build_city_ai_result_payload(
payload: Dict[str, Any] = {
"status": "ready",
"cached": cached,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name"),
"city_display_name": data.get("display_name"),
@@ -1729,7 +1735,7 @@ def stream_scan_city_ai_forecast_payload(
"final",
{
"status": "failed",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": city_name,
"city_display_name": str(city or "").strip() or city_name,
@@ -1765,7 +1771,7 @@ def stream_scan_city_ai_forecast_payload(
{
"status": "ready",
"cached": True,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": cached.get("city") or city_name,
"city_display_name": cached.get("city_display_name") or city_name,
@@ -1799,8 +1805,8 @@ def stream_scan_city_ai_forecast_payload(
"stage": "calling_ai",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
"message_zh": "DeepSeek V4-Pro 开始流式解读机场报文…",
"message_en": "DeepSeek V4-Pro is streaming the airport bulletin read",
"message_zh": "DeepSeek 正在快速增强机场报文解读",
"message_en": "DeepSeek is adding a fast airport-bulletin enhancement",
},
)
@@ -1809,7 +1815,7 @@ def stream_scan_city_ai_forecast_payload(
"final",
{
"status": "disabled",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -1822,7 +1828,7 @@ def stream_scan_city_ai_forecast_payload(
"final",
{
"status": "missing_key",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -1967,13 +1973,13 @@ def stream_scan_city_ai_forecast_payload(
)
except httpx.TimeoutException as exc:
duration_ms = int((time.time() - started_at) * 1000)
reason_en = f"DeepSeek V4-Pro timed out after {SCAN_CITY_AI_TIMEOUT_SEC}s"
reason_zh = f"DeepSeek V4-Pro{SCAN_CITY_AI_TIMEOUT_SEC} 秒内未返回"
reason_en = f"DeepSeek city AI timed out after {SCAN_CITY_AI_TIMEOUT_SEC}s"
reason_zh = f"DeepSeek 城市 AI{SCAN_CITY_AI_TIMEOUT_SEC} 秒内未返回"
logger.warning(
"scan city AI stream timeout fallback city={} duration_ms={} model={} error={}",
data.get("name") or city_name,
duration_ms,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
exc,
)
ai_raw = _build_city_ai_fallback(
@@ -2001,14 +2007,14 @@ def stream_scan_city_ai_forecast_payload(
logger.warning(
"scan city AI stream failed city={} model={} error={}",
data.get("name") or city_name,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
reason,
)
yield _sse_event(
"final",
{
"status": "failed",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -2035,7 +2041,7 @@ def build_scan_city_ai_forecast_payload(
if city_name not in CITIES:
return {
"status": "failed",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": city_name,
"city_display_name": str(city or "").strip() or city_name,
@@ -2052,7 +2058,7 @@ def build_scan_city_ai_forecast_payload(
city_name,
force_refresh,
normalized_locale,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
)
data = _analyze(
city_name,
@@ -2069,12 +2075,12 @@ def build_scan_city_ai_forecast_payload(
logger.info(
"scan city AI forecast cache hit city={} model={}",
cached.get("city") or city_name,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
)
return {
"status": "ready",
"cached": True,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": cached.get("city") or city_name,
"city_display_name": cached.get("city_display_name") or city_name,
@@ -2087,11 +2093,11 @@ def build_scan_city_ai_forecast_payload(
logger.warning(
"scan city AI forecast disabled city={} model={}",
data.get("name") or city_name,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
)
return {
"status": "disabled",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -2101,11 +2107,11 @@ def build_scan_city_ai_forecast_payload(
logger.warning(
"scan city AI forecast missing DeepSeek key city={} model={}",
data.get("name") or city_name,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
)
return {
"status": "missing_key",
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -2117,7 +2123,7 @@ def build_scan_city_ai_forecast_payload(
"scan city AI forecast calling provider city={} station={} model={} raw_metar_present={}",
data.get("name") or city_name,
((ai_input.get("airport") or {}).get("icao") if isinstance(ai_input.get("airport"), dict) else None),
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
bool(
(ai_input.get("airport_current") or {}).get("raw_metar")
if isinstance(ai_input.get("airport_current"), dict)
@@ -2127,8 +2133,8 @@ def build_scan_city_ai_forecast_payload(
ai_raw = _call_deepseek_city_ai(ai_input, locale=normalized_locale)
except httpx.TimeoutException as exc:
duration_ms = int((time.time() - started_at) * 1000)
reason_en = f"DeepSeek V4-Pro timed out after {SCAN_CITY_AI_TIMEOUT_SEC}s"
reason_zh = f"DeepSeek V4-Pro{SCAN_CITY_AI_TIMEOUT_SEC} 秒内未返回"
reason_en = f"DeepSeek city AI timed out after {SCAN_CITY_AI_TIMEOUT_SEC}s"
reason_zh = f"DeepSeek 城市 AI{SCAN_CITY_AI_TIMEOUT_SEC} 秒内未返回"
ai_raw = _build_city_ai_fallback(
ai_input,
locale=normalized_locale,
@@ -2139,14 +2145,14 @@ def build_scan_city_ai_forecast_payload(
"scan city AI forecast timeout fallback city={} duration_ms={} model={} error={}",
data.get("name") or city_name,
duration_ms,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
exc,
)
return {
"status": "ready",
"degraded": True,
"cached": False,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -2162,12 +2168,12 @@ def build_scan_city_ai_forecast_payload(
raw_reason = str(exc)
empty_ai_content = raw_reason.strip().lower() == "empty ai content"
reason_en = (
"DeepSeek V4-Pro returned no usable text. Retry the city analysis."
"DeepSeek city AI returned no usable text. Retry the city analysis."
if empty_ai_content
else raw_reason
)
reason_zh = (
"DeepSeek V4-Pro 没有返回有效正文,请刷新重试。"
"DeepSeek 城市 AI 没有返回有效正文,请刷新重试。"
if empty_ai_content
else raw_reason
)
@@ -2175,7 +2181,7 @@ def build_scan_city_ai_forecast_payload(
"scan city AI forecast failed city={} duration_ms={} model={} error={}",
data.get("name") or city_name,
duration_ms,
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
raw_reason,
)
ai_raw = _build_city_ai_fallback(
@@ -2188,7 +2194,7 @@ def build_scan_city_ai_forecast_payload(
"status": "ready",
"degraded": True,
"cached": False,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,
@@ -2211,13 +2217,13 @@ def build_scan_city_ai_forecast_payload(
"scan city AI forecast complete city={} duration_ms={} model={} confidence={}",
data.get("name") or city_name,
int((time.time() - started_at) * 1000),
SCAN_AI_MODEL,
SCAN_CITY_AI_MODEL,
ai_raw.get("confidence") if isinstance(ai_raw, dict) else None,
)
return {
"status": "ready",
"cached": False,
"model": SCAN_AI_MODEL,
"model": SCAN_CITY_AI_MODEL,
"provider": "deepseek",
"city": data.get("name") or city_name,
"city_display_name": data.get("display_name") or city_name,