mirror of
https://github.com/ZhuLinsen/daily_stock_analysis
synced 2026-09-20 02:43:35 +08:00
972c314656
* feat: Web/API 指数入口与共享 canonical 去重基础 为 Issue #2303 Phase 2 PR1 落地 Web/API 指数入口适配： - API 使用 parse_analysis_target 构造结构化 AnalysisTarget 并贯通到 pipeline - API 与 TaskQueue 去重按 asset_type 分支（指数用 canonical_id，个股用 legacy code） - BatchTaskAcceptedResponse 追加可选 rejected 字段，未登记 CSI 单股 400、批量仅该目标失败 - TaskInfo 固化 dedupe_key，避免指数与同码个股折叠及 _analyzing_stocks 残留 - Web 移除 assetType=index 全局过滤，Chat 名称识别保护指数 canonical - 补齐 Pipeline 指数 DecisionSignal market_override=cn 真实分支测试 * fix: 收敛指数 canonical 身份与批量响应契约 PR #2312 review 修复：报告 meta 补充 asset_type 隐藏指数自选；/analyze 在解析前限制非空原始 token；is_single 统一驱动 metadata/409/单任务 202；HomePage 三元计数继续后续 chunk。 * fix: avoid double space in index news search query * fix: preserve canonical index identity * fix: validate legacy task asset type * fix: preserve canonical index identity in chat * fix: preserve index identity across chat backends
470 lines
17 KiB
Python
470 lines
17 KiB
Python
# -*- coding: utf-8 -*-
|
||
"""
|
||
===================================
|
||
分析相关模型
|
||
===================================
|
||
|
||
职责：
|
||
1. 定义分析请求和响应模型
|
||
2. 定义任务状态模型
|
||
3. 定义异步任务队列相关模型
|
||
"""
|
||
|
||
from typing import Optional, List, Any, Literal
|
||
from enum import Enum
|
||
|
||
from pydantic import AliasChoices, BaseModel, ConfigDict, Field, field_validator
|
||
from src.utils.analysis_metadata import SELECTION_SOURCE_PATTERN
|
||
from src.utils.market_review_region import normalize_market_review_region_strict
|
||
|
||
|
||
class TaskStatusEnum(str, Enum):
|
||
"""任务状态枚举"""
|
||
PENDING = "pending"
|
||
PROCESSING = "processing"
|
||
COMPLETED = "completed"
|
||
FAILED = "failed"
|
||
CANCEL_REQUESTED = "cancel_requested"
|
||
CANCELLED = "cancelled"
|
||
|
||
|
||
AnalysisPhase = Literal["auto", "premarket", "intraday", "postmarket"]
|
||
|
||
|
||
class AnalyzeRequest(BaseModel):
|
||
"""Analysis request parameters"""
|
||
|
||
stock_code: Optional[str] = Field(
|
||
None,
|
||
description="单只股票代码",
|
||
json_schema_extra={"example": "600519"},
|
||
)
|
||
stock_codes: Optional[List[str]] = Field(
|
||
None,
|
||
description="多只股票代码（与 stock_code 二选一）",
|
||
json_schema_extra={"example": ["600519", "000858"]},
|
||
)
|
||
report_type: str = Field(
|
||
"detailed",
|
||
description="报告类型：simple(精简) / detailed(完整) / full(完整) / brief(简洁)",
|
||
pattern="^(simple|detailed|full|brief)$",
|
||
)
|
||
force_refresh: bool = Field(
|
||
False,
|
||
description="是否强制刷新（忽略缓存）"
|
||
)
|
||
async_mode: bool = Field(
|
||
False,
|
||
description="是否使用异步模式"
|
||
)
|
||
analysis_phase: AnalysisPhase = Field(
|
||
"auto",
|
||
description="分析阶段覆盖：auto(自动推断) / premarket(盘前) / intraday(盘中) / postmarket(盘后)",
|
||
)
|
||
stock_name: Optional[str] = Field(
|
||
None,
|
||
description="用户选中的股票名称（自动补全时提供）",
|
||
json_schema_extra={"example": "贵州茅台"},
|
||
)
|
||
original_query: Optional[str] = Field(
|
||
None,
|
||
description="用户原始输入（如茅台、gzmt、600519）",
|
||
json_schema_extra={"example": "茅台"},
|
||
)
|
||
selection_source: Optional[str] = Field(
|
||
None,
|
||
description="股票选择来源：manual(手动输入) | autocomplete(自动补全) | import(导入) | image(图片识别)",
|
||
pattern=SELECTION_SOURCE_PATTERN,
|
||
json_schema_extra={"example": "autocomplete"},
|
||
)
|
||
notify: bool = Field(
|
||
True,
|
||
description="是否发送推送通知（Telegram/企业微信等）"
|
||
)
|
||
report_language: Optional[Literal["zh", "en", "ko"]] = Field(
|
||
None,
|
||
validation_alias=AliasChoices("report_language", "reportLanguage"),
|
||
description="本次分析报告输出语言；未传时使用全局 REPORT_LANGUAGE",
|
||
)
|
||
skills: Optional[List[str]] = Field(
|
||
None,
|
||
validation_alias=AliasChoices("skills", "strategies"),
|
||
description="本次分析使用的策略 skill ID 列表；兼容 legacy strategies 字段",
|
||
json_schema_extra={"example": ["bull_trend", "growth_quality"]},
|
||
)
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"stock_code": "600519",
|
||
"report_type": "detailed",
|
||
"force_refresh": False,
|
||
"async_mode": False,
|
||
"analysis_phase": "auto",
|
||
"stock_name": "贵州茅台",
|
||
"original_query": "茅台",
|
||
"selection_source": "autocomplete",
|
||
"notify": True,
|
||
"report_language": "zh",
|
||
"skills": ["bull_trend"]
|
||
}
|
||
})
|
||
|
||
|
||
class MarketReviewRequest(BaseModel):
|
||
"""Market review trigger parameters."""
|
||
|
||
send_notification: bool = Field(
|
||
True,
|
||
description="是否在大盘复盘完成后发送推送通知",
|
||
)
|
||
report_language: Optional[Literal["zh", "en", "ko"]] = Field(
|
||
None,
|
||
validation_alias=AliasChoices("report_language", "reportLanguage"),
|
||
description="本次大盘复盘报告输出语言；未传时使用全局 REPORT_LANGUAGE",
|
||
)
|
||
region: Optional[str] = Field(
|
||
None,
|
||
min_length=1,
|
||
max_length=64,
|
||
description=(
|
||
"本次大盘复盘市场覆盖。合法 token 为 cn、hk、us、jp、kr、both；"
|
||
"both 只能单独使用，其余 token 可用逗号组合。输入会忽略大小写和 token 两侧空格、"
|
||
"去重并按 cn,hk,us,jp,kr 排序；空值、空 token、未知 token、both 混用或超过 "
|
||
"64 个字符会整体返回 4xx，不会部分执行。未传时使用运行时全局 MARKET_REVIEW_REGION。"
|
||
),
|
||
json_schema_extra={
|
||
"example": "cn,us",
|
||
"examples": ["cn", "jp,kr", "both"],
|
||
},
|
||
)
|
||
|
||
@field_validator("region")
|
||
@classmethod
|
||
def normalize_region(cls, value: Optional[str]) -> Optional[str]:
|
||
"""Strictly validate request input and return its canonical ordering."""
|
||
if value is None:
|
||
return None
|
||
return normalize_market_review_region_strict(value)
|
||
|
||
|
||
class MarketReviewAccepted(BaseModel):
|
||
"""Market review background task accepted response."""
|
||
|
||
status: str = Field("accepted", description="提交状态")
|
||
message: str = Field(..., description="提示信息")
|
||
send_notification: bool = Field(..., description="是否发送通知")
|
||
region: str = Field(
|
||
...,
|
||
description="本次任务实际执行的 canonical 市场范围",
|
||
examples=["us", "jp,kr"],
|
||
)
|
||
trace_id: Optional[str] = Field(
|
||
None,
|
||
description="本次后台任务的诊断 trace ID",
|
||
)
|
||
task_id: Optional[str] = Field(
|
||
None,
|
||
description="任务 ID（仅当任务实际提交时返回）",
|
||
)
|
||
|
||
|
||
class AnalysisResultResponse(BaseModel):
|
||
"""分析结果响应模型"""
|
||
|
||
query_id: str = Field(..., description="分析记录唯一标识")
|
||
trace_id: Optional[str] = Field(None, description="诊断 trace ID")
|
||
stock_code: str = Field(..., description="股票代码")
|
||
stock_name: Optional[str] = Field(None, description="股票名称")
|
||
report: Optional[Any] = Field(None, description="分析报告")
|
||
diagnostic_summary: Optional[Any] = Field(None, description="运行诊断摘要")
|
||
created_at: str = Field(..., description="创建时间")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"query_id": "abc123def456",
|
||
"stock_code": "600519",
|
||
"stock_name": "贵州茅台",
|
||
"report": {
|
||
"summary": {
|
||
"sentiment_score": 75,
|
||
"operation_advice": "持有"
|
||
}
|
||
},
|
||
"created_at": "2024-01-01T12:00:00"
|
||
}
|
||
})
|
||
|
||
|
||
class TaskAccepted(BaseModel):
|
||
"""异步任务接受响应"""
|
||
|
||
task_id: str = Field(..., description="任务 ID，用于查询状态")
|
||
trace_id: Optional[str] = Field(None, description="诊断 trace ID")
|
||
status: str = Field(
|
||
...,
|
||
description="任务状态",
|
||
pattern="^(pending|processing)$"
|
||
)
|
||
message: Optional[str] = Field(None, description="提示信息")
|
||
analysis_phase: AnalysisPhase = Field("auto", description="请求的分析阶段")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"task_id": "task_abc123",
|
||
"status": "pending",
|
||
"message": "Analysis task accepted",
|
||
"analysis_phase": "auto"
|
||
}
|
||
})
|
||
|
||
|
||
class BatchTaskAcceptedItem(BaseModel):
|
||
"""批量异步任务中的单个成功提交项。"""
|
||
|
||
task_id: str = Field(..., description="任务 ID，用于查询状态")
|
||
trace_id: Optional[str] = Field(None, description="诊断 trace ID")
|
||
stock_code: str = Field(..., description="股票代码")
|
||
status: str = Field(
|
||
...,
|
||
description="任务状态",
|
||
pattern="^(pending|processing)$"
|
||
)
|
||
message: Optional[str] = Field(None, description="提示信息")
|
||
analysis_phase: AnalysisPhase = Field("auto", description="请求的分析阶段")
|
||
asset_type: Optional[Literal["stock", "index"]] = Field(
|
||
None,
|
||
description="parser 来源的可选资产类型（stock/index）；由已提交的 analysis_target 透传，旧客户端可缺省",
|
||
)
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"task_id": "task_abc123",
|
||
"stock_code": "600519",
|
||
"status": "pending",
|
||
"message": "分析任务已加入队列: 600519",
|
||
"analysis_phase": "auto"
|
||
}
|
||
})
|
||
|
||
|
||
class BatchDuplicateTaskItem(BaseModel):
|
||
"""批量异步任务中的重复提交项。"""
|
||
|
||
stock_code: str = Field(..., description="股票代码")
|
||
existing_task_id: str = Field(..., description="已存在的任务 ID")
|
||
message: str = Field(..., description="错误信息")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"stock_code": "600519",
|
||
"existing_task_id": "task_existing_123",
|
||
"message": "股票 600519 正在分析中 (task_id: task_existing_123)"
|
||
}
|
||
})
|
||
|
||
|
||
class RejectedTaskItem(BaseModel):
|
||
"""批量异步任务中被明确拒绝的单个目标项（如未登记 CSI 指数）。"""
|
||
|
||
stock_code: str = Field(..., description="被拒绝的目标代码")
|
||
message: str = Field(..., description="拒绝原因")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"stock_code": "930956.CSI",
|
||
"message": "unregistered CSI index: '930956.CSI' is not in the index registry",
|
||
}
|
||
})
|
||
|
||
|
||
class BatchTaskAcceptedResponse(BaseModel):
|
||
"""批量异步任务接受响应。"""
|
||
|
||
accepted: List[BatchTaskAcceptedItem] = Field(default_factory=list, description="成功提交的任务列表")
|
||
duplicates: List[BatchDuplicateTaskItem] = Field(default_factory=list, description="重复而跳过的任务列表")
|
||
rejected: Optional[List[RejectedTaskItem]] = Field(
|
||
None,
|
||
description="批量中被明确拒绝的目标列表（如未登记 CSI 指数），仅在异步批量请求中返回",
|
||
)
|
||
message: str = Field(..., description="汇总信息")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"accepted": [
|
||
{
|
||
"task_id": "task_abc123",
|
||
"stock_code": "600519",
|
||
"status": "pending",
|
||
"message": "分析任务已加入队列: 600519",
|
||
"analysis_phase": "auto"
|
||
}
|
||
],
|
||
"duplicates": [
|
||
{
|
||
"stock_code": "000858",
|
||
"existing_task_id": "task_existing_456",
|
||
"message": "股票 000858 正在分析中 (task_id: task_existing_456)"
|
||
}
|
||
],
|
||
"message": "已提交 1 个任务，1 个重复跳过"
|
||
}
|
||
})
|
||
|
||
|
||
class TaskStatus(BaseModel):
|
||
"""Task status model"""
|
||
|
||
task_id: str = Field(..., description="任务 ID")
|
||
trace_id: Optional[str] = Field(None, description="诊断 trace ID")
|
||
status: TaskStatusEnum = Field(
|
||
...,
|
||
description="任务状态",
|
||
)
|
||
progress: Optional[int] = Field(
|
||
None,
|
||
description="进度百分比 (0-100)",
|
||
ge=0,
|
||
le=100
|
||
)
|
||
result: Optional[AnalysisResultResponse] = Field(
|
||
None,
|
||
description="分析结果（仅在 completed 时存在）"
|
||
)
|
||
market_review_report: Optional[str] = Field(
|
||
None,
|
||
description="大盘复盘任务返回的报告文本（仅大盘复盘任务）",
|
||
)
|
||
market_review_payload: Optional[Any] = Field(
|
||
None,
|
||
description="Structured market-review payload for API/Web consumers.",
|
||
)
|
||
region: Optional[str] = Field(
|
||
None,
|
||
description="大盘复盘任务实际执行的 canonical 市场范围",
|
||
)
|
||
error: Optional[str] = Field(
|
||
None,
|
||
description="错误信息（仅在 failed 时存在）"
|
||
)
|
||
stock_name: Optional[str] = Field(None, description="股票名称")
|
||
original_query: Optional[str] = Field(None, description="用户原始输入")
|
||
selection_source: Optional[str] = Field(
|
||
None,
|
||
description="选择来源",
|
||
pattern=SELECTION_SOURCE_PATTERN,
|
||
)
|
||
analysis_phase: Optional[AnalysisPhase] = Field(
|
||
None,
|
||
description="请求的分析阶段；无持久化字段的历史 DB fallback 可能为空",
|
||
)
|
||
skills: Optional[List[str]] = Field(None, description="本次任务使用的策略 skill ID 列表")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"task_id": "task_abc123",
|
||
"status": "completed",
|
||
"progress": 100,
|
||
"result": None,
|
||
"market_review_report": None,
|
||
"error": None,
|
||
"stock_name": "贵州茅台",
|
||
"original_query": "茅台",
|
||
"selection_source": "autocomplete",
|
||
"analysis_phase": "auto",
|
||
"skills": ["bull_trend"]
|
||
}
|
||
})
|
||
|
||
|
||
class TaskInfo(BaseModel):
|
||
"""
|
||
Task details model
|
||
|
||
Used for task list and SSE event delivery
|
||
"""
|
||
|
||
task_id: str = Field(..., description="任务 ID")
|
||
trace_id: Optional[str] = Field(None, description="诊断 trace ID")
|
||
stock_code: str = Field(..., description="股票代码")
|
||
stock_name: Optional[str] = Field(None, description="股票名称")
|
||
status: TaskStatusEnum = Field(..., description="任务状态")
|
||
progress: int = Field(0, description="进度百分比 (0-100)", ge=0, le=100)
|
||
message: Optional[str] = Field(None, description="状态消息")
|
||
report_type: str = Field("detailed", description="报告类型")
|
||
created_at: str = Field(..., description="创建时间")
|
||
started_at: Optional[str] = Field(None, description="开始执行时间")
|
||
completed_at: Optional[str] = Field(None, description="完成时间")
|
||
error: Optional[str] = Field(None, description="错误信息（仅在 failed 时存在）")
|
||
original_query: Optional[str] = Field(None, description="用户原始输入")
|
||
selection_source: Optional[str] = Field(
|
||
None,
|
||
description="选择来源",
|
||
pattern=SELECTION_SOURCE_PATTERN,
|
||
)
|
||
analysis_phase: AnalysisPhase = Field("auto", description="请求的分析阶段")
|
||
skills: Optional[List[str]] = Field(None, description="本次任务使用的策略 skill ID 列表")
|
||
region: Optional[str] = Field(
|
||
None,
|
||
description="大盘复盘任务实际执行的 canonical 市场范围",
|
||
)
|
||
asset_type: Optional[Literal["stock", "index"]] = Field(
|
||
None,
|
||
description="parser 来源的可选资产类型（stock/index）；由已提交的 analysis_target 透传，旧客户端可缺省",
|
||
)
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"task_id": "abc123def456",
|
||
"stock_code": "600519",
|
||
"stock_name": "贵州茅台",
|
||
"status": "processing",
|
||
"progress": 50,
|
||
"message": "正在分析中...",
|
||
"report_type": "detailed",
|
||
"created_at": "2026-02-05T10:30:00",
|
||
"started_at": "2026-02-05T10:30:01",
|
||
"completed_at": None,
|
||
"error": None,
|
||
"original_query": "茅台",
|
||
"selection_source": "autocomplete",
|
||
"analysis_phase": "auto",
|
||
"skills": ["bull_trend"]
|
||
}
|
||
})
|
||
|
||
|
||
class TaskListResponse(BaseModel):
|
||
"""任务列表响应模型"""
|
||
|
||
total: int = Field(..., description="任务总数")
|
||
pending: int = Field(..., description="等待中的任务数")
|
||
processing: int = Field(..., description="处理中的任务数")
|
||
tasks: List[TaskInfo] = Field(..., description="任务列表")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"total": 3,
|
||
"pending": 1,
|
||
"processing": 2,
|
||
"tasks": []
|
||
}
|
||
})
|
||
|
||
|
||
class DuplicateTaskErrorResponse(BaseModel):
|
||
"""重复任务错误响应模型"""
|
||
|
||
error: str = Field("duplicate_task", description="错误类型")
|
||
message: str = Field(..., description="错误信息")
|
||
stock_code: str = Field(..., description="股票代码")
|
||
existing_task_id: str = Field(..., description="已存在的任务 ID")
|
||
|
||
model_config = ConfigDict(json_schema_extra={
|
||
"example": {
|
||
"error": "duplicate_task",
|
||
"message": "股票 600519 正在分析中",
|
||
"stock_code": "600519",
|
||
"existing_task_id": "abc123def456"
|
||
}
|
||
})
|