feat: 初始化孕育无忧全栈项目基础代码结构
完成项目初始搭建,包含后端FastAPI+MongoDB服务、前端React+Vite项目的完整基础结构,添加各类配置文件与依赖清单,涵盖核心业务初始框架。
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backend/app/models/__init__.py
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backend/app/models/__init__.py
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backend/app/models/analysis.py
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backend/app/models/analysis.py
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from datetime import datetime, timezone
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from typing import Optional
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from beanie import Document, PydanticObjectId
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from pydantic import BaseModel, Field
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class IndicatorInterpretation(BaseModel):
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"""单项指标解读"""
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name: str
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nickname: str = "" # 白话名称,如"氧气快递员"
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value: str = ""
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status: str = "normal"
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what_is_it: str = "" # 通俗解释
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impact: str = "" # 对宝宝的影响
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suggestion: str = "" # 行动建议
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recheck_reminder: Optional[str] = None
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class CategoryInterpretation(BaseModel):
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"""分类解读(如血液指标、激素水平)"""
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category: str
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status: str = "normal"
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indicators: list[IndicatorInterpretation] = Field(default_factory=list)
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class ActionItem(BaseModel):
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"""行动建议"""
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content: str
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priority: str = "medium" # high / medium / low
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category: str = "" # 饮食 / 运动 / 就医 / 复查
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class Analysis(Document):
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report_id: PydanticObjectId
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user_id: PydanticObjectId
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# Overall assessment
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overall_status: str = "normal" # normal / attention / warning
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risk_level: str = "low" # low / medium / high
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overall_summary: str = "" # 整体评估文案
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emotional_summary: str = "" # 情感化总结,如"宝宝发育良好"
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# Detailed interpretations
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categories: list[CategoryInterpretation] = Field(default_factory=list)
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# Action items
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action_items: list[ActionItem] = Field(default_factory=list)
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# Tips
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tips: list[str] = Field(default_factory=list)
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class Settings:
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name = "analyses"
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indexes = [
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"user_id",
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"report_id",
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]
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backend/app/models/chat.py
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backend/app/models/chat.py
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from datetime import datetime, timezone
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from beanie import Document, PydanticObjectId
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from pydantic import BaseModel, Field
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class ChatMessage(BaseModel):
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role: str # user / assistant
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content: str
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timestamp: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class ChatSession(Document):
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user_id: PydanticObjectId
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report_id: PydanticObjectId
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messages: list[ChatMessage] = Field(default_factory=list)
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class Settings:
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name = "chat_sessions"
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indexes = [
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[("user_id", 1), ("report_id", 1)],
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]
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backend/app/models/checkup.py
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backend/app/models/checkup.py
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from datetime import datetime, timezone
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from typing import Optional
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from beanie import Document, PydanticObjectId
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from pydantic import BaseModel, Field
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class CheckupItem(BaseModel):
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title: str
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week: int
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date: Optional[str] = None
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items: list[str] = Field(default_factory=list)
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preparations: list[str] = Field(default_factory=list)
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notes: str = ""
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status: str = "upcoming" # upcoming / completed / missed
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importance: str = "medium" # high / medium / low
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report_ids: list[str] = Field(default_factory=list) # linked report IDs
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class CheckupPlan(Document):
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user_id: PydanticObjectId
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checkups: list[CheckupItem] = Field(default_factory=list)
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class Settings:
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name = "checkup_plans"
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indexes = [
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"user_id",
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]
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backend/app/models/report.py
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backend/app/models/report.py
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from datetime import datetime, timezone
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from typing import Optional
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from beanie import Document, PydanticObjectId
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from pydantic import BaseModel, Field
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class DataItem(BaseModel):
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"""单个检查指标"""
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name: str
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value: str
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unit: str = ""
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reference_range: str = ""
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status: str = "normal" # normal / high / low
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category: str = "" # 血液检查 / 激素水平 / 尿常规 etc.
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class Report(Document):
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user_id: PydanticObjectId
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report_type: str = "" # 血常规 / B超 / 尿常规 etc.
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pregnancy_week: Optional[int] = None
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report_date: Optional[str] = None # 报告日期 YYYY-MM-DD
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# Images
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image_urls: list[str] = Field(default_factory=list)
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# OCR results
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ocr_raw_text: Optional[str] = None
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data_items: list[DataItem] = Field(default_factory=list)
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# User additions
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symptoms: Optional[list[str]] = None # 自觉症状
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notes: Optional[str] = None # 备注
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# Privacy fields (auto-masked)
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patient_name: Optional[str] = None
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patient_id_masked: Optional[str] = None
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# Status
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status: str = "pending" # pending / verified / analyzed
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overall_status: str = "normal" # normal / attention / warning
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class Settings:
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name = "reports"
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indexes = [
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"user_id",
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]
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backend/app/models/user.py
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backend/app/models/user.py
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from datetime import datetime, timezone
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from typing import Optional
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from beanie import Document
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from pymongo import IndexModel, ASCENDING
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from pydantic import BaseModel, Field
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class EmergencyContact(BaseModel):
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name: str = ""
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relation: str = ""
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phone: str = ""
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class User(Document):
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openid: str = Field(..., unique=True)
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union_id: Optional[str] = None
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session_key: Optional[str] = None
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# Basic info
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name: str = ""
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phone: Optional[str] = None
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age: Optional[int] = None
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height: Optional[float] = None # cm
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pre_pregnancy_weight: Optional[float] = None # kg
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current_weight: Optional[float] = None # kg
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blood_type: Optional[str] = None
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allergies: list[str] = Field(default_factory=list)
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medical_history: list[str] = Field(default_factory=list)
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# Pregnancy info
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last_period_date: Optional[datetime] = None
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due_date: Optional[datetime] = None
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pregnancy_week: Optional[int] = None
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pregnancy_day: Optional[int] = None
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multiple_pregnancy: Optional[str] = None # 单胎/双胎/三胎+
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pregnancy_count: Optional[int] = None # 第几次怀孕
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emergency_contact: EmergencyContact = Field(default_factory=EmergencyContact)
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# Status
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is_onboarded: bool = False
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avatar_url: Optional[str] = None
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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class Settings:
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name = "users"
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indexes = [
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IndexModel(
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[("phone", ASCENDING)],
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unique=True,
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partialFilterExpression={"phone": {"$type": "string"}},
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),
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]
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