From 9bad7b6e6319f43e533044328001226eb406ef71 Mon Sep 17 00:00:00 2001 From: meijiali <你的邮箱@xxx.com> Date: Fri, 3 Jul 2026 11:12:12 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20=E6=8F=90=E4=BA=A4=E7=83=AD=E6=A6=9C?= =?UTF-8?q?=E8=AF=84=E8=AE=BA=E5=88=86=E6=9E=90=E5=B7=A5=E5=85=B7=20MVP=20?= =?UTF-8?q?=E5=9F=BA=E7=BA=BF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .env.example | 16 + Dockerfile | 23 + app/__init__.py | 1 + app/config.py | 41 + app/db.py | 45 + app/main.py | 161 +++ app/models.py | 176 ++++ app/platforms/.gitkeep | 1 + app/platforms/base.py | 117 +++ app/platforms/douyin.py | 99 ++ app/platforms/xiaohongshu.py | 84 ++ app/prompts/comment_analysis.txt | 4 + app/prompts/report_summary.txt | 3 + app/schemas.py | 40 + app/services/.gitkeep | 1 + app/services/__init__.py | 1 + app/services/ai_service.py | 140 +++ app/services/export_service.py | 104 ++ app/services/report_service.py | 162 +++ app/services/task_service.py | 243 +++++ app/static/.gitkeep | 1 + app/static/app.css | 7 + app/static/app.js | 93 ++ app/templates/.gitkeep | 1 + app/templates/base.html | 35 + app/templates/hotspots/report.html | 26 + app/templates/index.html | 66 ++ app/templates/items/detail.html | 34 + app/templates/macros/label_tags.html | 7 + app/templates/macros/sentiment_badge.html | 10 + app/templates/macros/status_badge.html | 4 + app/templates/partials/task_rows.html | 21 + app/templates/tasks/detail.html | 47 + app/templating.py | 33 + docker-compose.yml | 9 + pyproject.toml | 38 + tests/__init__.py | 1 + tests/fixtures/.gitkeep | 1 + tests/helpers.py | 31 + tests/integration/__init__.py | 1 + tests/integration/test_failure_tolerance.py | 51 + tests/integration/test_health.py | 12 + tests/integration/test_routes.py | 146 +++ tests/integration/test_task_creation.py | 118 +++ tests/integration/test_task_flow_douyin.py | 39 + .../integration/test_task_flow_xiaohongshu.py | 130 +++ tests/integration/test_task_recovery.py | 40 + tests/unit/__init__.py | 1 + tests/unit/test_ai_schema.py | 119 +++ tests/unit/test_comment_pagination.py | 51 + tests/unit/test_config.py | 76 ++ tests/unit/test_deployment_config.py | 17 + tests/unit/test_douyin_mapping.py | 120 +++ tests/unit/test_export.py | 19 + tests/unit/test_models.py | 88 ++ tests/unit/test_report_stats.py | 76 ++ tests/unit/test_task_executor.py | 12 + tests/unit/test_template_filters.py | 13 + tests/unit/test_xiaohongshu_mapping.py | 65 ++ uv.lock | 937 ++++++++++++++++++ 60 files changed, 4058 insertions(+) create mode 100644 .env.example create mode 100644 Dockerfile create mode 100644 app/__init__.py create mode 100644 app/config.py create mode 100644 app/db.py create mode 100644 app/main.py create mode 100644 app/models.py create mode 100644 app/platforms/.gitkeep create mode 100644 app/platforms/base.py create mode 100644 app/platforms/douyin.py create mode 100644 app/platforms/xiaohongshu.py create mode 100644 app/prompts/comment_analysis.txt create mode 100644 app/prompts/report_summary.txt create mode 100644 app/schemas.py create mode 100644 app/services/.gitkeep create mode 100644 app/services/__init__.py create mode 100644 app/services/ai_service.py create mode 100644 app/services/export_service.py create mode 100644 app/services/report_service.py create mode 100644 app/services/task_service.py create mode 100644 app/static/.gitkeep create mode 100644 app/static/app.css create mode 100644 app/static/app.js create mode 100644 app/templates/.gitkeep create mode 100644 app/templates/base.html create mode 100644 app/templates/hotspots/report.html create mode 100644 app/templates/index.html create mode 100644 app/templates/items/detail.html create mode 100644 app/templates/macros/label_tags.html create mode 100644 app/templates/macros/sentiment_badge.html create mode 100644 app/templates/macros/status_badge.html create mode 100644 app/templates/partials/task_rows.html create mode 100644 app/templates/tasks/detail.html create mode 100644 app/templating.py create mode 100644 docker-compose.yml create mode 100644 pyproject.toml create mode 100644 tests/__init__.py create mode 100644 tests/fixtures/.gitkeep create mode 100644 tests/helpers.py create mode 100644 tests/integration/__init__.py create mode 100644 tests/integration/test_failure_tolerance.py create mode 100644 tests/integration/test_health.py create mode 100644 tests/integration/test_routes.py create mode 100644 tests/integration/test_task_creation.py create mode 100644 tests/integration/test_task_flow_douyin.py create mode 100644 tests/integration/test_task_flow_xiaohongshu.py create mode 100644 tests/integration/test_task_recovery.py create mode 100644 tests/unit/__init__.py create mode 100644 tests/unit/test_ai_schema.py create mode 100644 tests/unit/test_comment_pagination.py create mode 100644 tests/unit/test_config.py create mode 100644 tests/unit/test_deployment_config.py create mode 100644 tests/unit/test_douyin_mapping.py create mode 100644 tests/unit/test_export.py create mode 100644 tests/unit/test_models.py create mode 100644 tests/unit/test_report_stats.py create mode 100644 tests/unit/test_task_executor.py create mode 100644 tests/unit/test_template_filters.py create mode 100644 tests/unit/test_xiaohongshu_mapping.py create mode 100644 uv.lock diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..a3cea82 --- /dev/null +++ b/.env.example @@ -0,0 +1,16 @@ +APP_ENV=development +DATABASE_URL=sqlite:///./data/app.db +TIKHUB_API_KEY= +TIKHUB_BASE_URL=https://api.tikhub.io +AI_PROVIDER=openai-compatible +AI_BASE_URL= +AI_API_KEY= +AI_MODEL= +AI_BATCH_SIZE=20 +AI_CONCURRENCY=2 +AI_MAX_RETRIES=3 +AI_TIMEOUT_SECONDS=30 +HTTP_TIMEOUT_SECONDS=20 +HTTP_MAX_RETRIES=3 +# 评论分页请求间隔秒数，支持浮点数，默认 1.5 秒。 +CRAWL_PAGE_INTERVAL_SECONDS=1.5 diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..89aa3c1 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,23 @@ +FROM python:3.12-slim + +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 + +WORKDIR /app + +RUN adduser --disabled-password --gecos "" appuser + +COPY pyproject.toml uv.lock ./ +RUN pip install --no-cache-dir uv \ + && uv pip install --system --no-cache . + +COPY app ./app +COPY .env.example ./.env.example + +RUN mkdir -p /app/data && chown -R appuser:appuser /app + +USER appuser + +EXPOSE 8000 + +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/app/__init__.py b/app/__init__.py new file mode 100644 index 0000000..3aaf944 --- /dev/null +++ b/app/__init__.py @@ -0,0 +1 @@ +"""Application package for the hot comments analysis tool.""" diff --git a/app/config.py b/app/config.py new file mode 100644 index 0000000..5b52d3d --- /dev/null +++ b/app/config.py @@ -0,0 +1,41 @@ +from functools import lru_cache + +from pydantic import field_validator +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore") + + app_env: str = "development" + database_url: str = "sqlite:///data/app.db" + tikhub_api_key: str = "" + tikhub_base_url: str = "https://api.tikhub.io" + ai_provider: str = "openai-compatible" + ai_base_url: str = "" + ai_api_key: str = "" + ai_model: str = "" + ai_batch_size: int = 20 + ai_concurrency: int = 2 + ai_max_retries: int = 3 + ai_timeout_seconds: int = 30 + http_timeout_seconds: int = 20 + http_max_retries: int = 3 + crawl_page_interval_seconds: float = 1.5 + + hot_limit_min: int = 1 + hot_limit_max: int = 10 + item_limit_per_hot_min: int = 1 + item_limit_per_hot_max: int = 10 + comment_limit_per_item_min: int = 10 + comment_limit_per_item_max: int = 100 + + @field_validator("ai_concurrency", mode="after") + @classmethod + def cap_ai_concurrency(cls, value: int) -> int: + return min(value, 3) + + +@lru_cache +def get_settings() -> Settings: + return Settings() diff --git a/app/db.py b/app/db.py new file mode 100644 index 0000000..8ca241b --- /dev/null +++ b/app/db.py @@ -0,0 +1,45 @@ +from collections.abc import Generator +from pathlib import Path + +from sqlalchemy import create_engine, event +from sqlalchemy.orm import DeclarativeBase, Session, sessionmaker + +from app.config import get_settings + + +class Base(DeclarativeBase): + pass + + +def create_sqlite_engine(database_url: str): + if database_url.startswith("sqlite:///") and database_url != "sqlite:///:memory:": + db_path = Path(database_url.removeprefix("sqlite:///")) + if db_path.parent != Path("."): + db_path.parent.mkdir(parents=True, exist_ok=True) + + connect_args = {"check_same_thread": False, "timeout": 10} + engine = create_engine(database_url, connect_args=connect_args) + engine.dialect.connect_args = connect_args + + @event.listens_for(engine, "connect") + def set_sqlite_pragma(dbapi_connection, _connection_record): + cursor = dbapi_connection.cursor() + cursor.execute("PRAGMA journal_mode=WAL") + cursor.close() + + return engine + + +engine = create_sqlite_engine(get_settings().database_url) +SessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False) + + +def init_db() -> None: + import app.models # noqa: F401 + + Base.metadata.create_all(engine) + + +def get_db_session() -> Generator[Session]: + with SessionLocal() as session: + yield session diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..995678d --- /dev/null +++ b/app/main.py @@ -0,0 +1,161 @@ +from collections.abc import AsyncGenerator +from contextlib import asynccontextmanager +from urllib.parse import quote + +from fastapi import Depends, FastAPI, HTTPException, Request, status +from fastapi.responses import HTMLResponse +from fastapi.responses import Response +from fastapi.staticfiles import StaticFiles +from sqlalchemy import select +from sqlalchemy.orm import Session + +from app.db import SessionLocal, get_db_session, init_db +from app.models import Comment, ContentItem, Hotspot, Report +from app.schemas import CreateTaskRequest, CreateTaskResponse, TaskResponse +from app.services.export_service import export_hotspot_comments_csv, export_item_comments_csv, export_report_markdown +from app.services.task_service import ( + RUNNING_TASK_MESSAGE, + create_task, + get_task, + has_running_task, + list_tasks, + recover_running_tasks, +) +from app.templating import templates + + +@asynccontextmanager +async def lifespan(_app: FastAPI) -> AsyncGenerator[None]: + init_db() + with SessionLocal() as session: + recover_running_tasks(session) + yield + + +app = FastAPI(title="热榜评论分析工具", lifespan=lifespan) +app.mount("/static", StaticFiles(directory="app/static"), name="static") + + +@app.get("/health") +def health() -> dict[str, str]: + return {"status": "ok"} + + +@app.get("/", response_class=HTMLResponse) +def index_page(request: Request, session: Session = Depends(get_db_session)) -> HTMLResponse: + return templates.TemplateResponse( + request, + "index.html", + {"tasks": list_tasks(session)}, + ) + + +@app.post("/api/tasks", response_model=CreateTaskResponse, status_code=status.HTTP_201_CREATED) +def create_task_api( + request: CreateTaskRequest, + session: Session = Depends(get_db_session), +) -> CreateTaskResponse: + if has_running_task(session): + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=RUNNING_TASK_MESSAGE) + + task = create_task(session, request) + return CreateTaskResponse(task_id=task.id, status=task.status) + + +@app.get("/api/tasks", response_model=list[TaskResponse]) +def list_tasks_api(session: Session = Depends(get_db_session)) -> list[TaskResponse]: + return [TaskResponse.model_validate(task) for task in list_tasks(session)] + + +@app.get("/api/tasks/{task_id}", response_model=TaskResponse) +def get_task_api(task_id: str, session: Session = Depends(get_db_session)) -> TaskResponse: + task = get_task(session, task_id) + if task is None: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="任务不存在") + return TaskResponse.model_validate(task) + + +@app.get("/tasks/{task_id}", response_class=HTMLResponse) +def task_detail_page(task_id: str, request: Request, session: Session = Depends(get_db_session)) -> HTMLResponse: + task = get_task(session, task_id) + if task is None: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="任务不存在") + hotspots = list(session.scalars(select(Hotspot).where(Hotspot.task_id == task.id).order_by(Hotspot.rank))) + return templates.TemplateResponse(request, "tasks/detail.html", {"task": task, "hotspots": hotspots}) + + +@app.get("/hotspots/{hotspot_id}/report", response_class=HTMLResponse) +def hotspot_report_page(hotspot_id: str, request: Request, session: Session = Depends(get_db_session)) -> HTMLResponse: + hotspot = session.get(Hotspot, hotspot_id) + if hotspot is None: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="热点不存在") + task = get_task(session, hotspot.task_id) + report = session.scalar(select(Report).where(Report.hotspot_id == hotspot.id, Report.report_type == "hotspot")) + return templates.TemplateResponse(request, "hotspots/report.html", {"task": task, "hotspot": hotspot, "report": report}) + + +@app.get("/items/{item_id}", response_class=HTMLResponse) +def item_detail_page(item_id: str, request: Request, session: Session = Depends(get_db_session)) -> HTMLResponse: + item = session.get(ContentItem, item_id) + if item is None: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="内容条目不存在") + hotspot = session.get(Hotspot, item.hotspot_id) + task = get_task(session, item.task_id) + report = session.scalar(select(Report).where(Report.content_item_id == item.id, Report.report_type == "item")) + comments = list( + session.scalars( + select(Comment) + .where(Comment.content_item_id == item.id) + .order_by(Comment.like_count.desc().nullslast(), Comment.comment_time.desc().nullslast()) + .limit(100) + ) + ) + return templates.TemplateResponse( + request, + "items/detail.html", + {"task": task, "hotspot": hotspot, "item": item, "report": report, "comments": comments}, + ) + + +@app.get("/api/export/items/{item_id}/comments.csv") +def export_item_comments(item_id: str, session: Session = Depends(get_db_session)) -> Response: + try: + content, filename = export_item_comments_csv(session, item_id) + except ValueError: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="导出数据不存在") + return Response( + content=content, + media_type="text/csv; charset=utf-8", + headers={"Content-Disposition": f"attachment; filename*=UTF-8''{quote(filename)}"}, + ) + + +@app.get("/api/export/hotspots/{hotspot_id}/comments.csv") +def export_hotspot_comments(hotspot_id: str, session: Session = Depends(get_db_session)) -> Response: + try: + content, filename = export_hotspot_comments_csv(session, hotspot_id) + except ValueError: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="导出数据不存在") + return Response( + content=content, + media_type="text/csv; charset=utf-8", + headers={"Content-Disposition": f"attachment; filename*=UTF-8''{quote(filename)}"}, + ) + + +@app.get("/api/export/hotspots/{hotspot_id}.md") +def export_hotspot_markdown(hotspot_id: str, session: Session = Depends(get_db_session)) -> Response: + try: + content, filename = export_report_markdown(session, report_type="hotspot", hotspot_id=hotspot_id) + except ValueError: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="报告不存在") + return Response(content=content, media_type="text/markdown; charset=utf-8", headers={"Content-Disposition": f"attachment; filename*=UTF-8''{quote(filename)}"}) + + +@app.get("/api/export/items/{item_id}.md") +def export_item_markdown(item_id: str, session: Session = Depends(get_db_session)) -> Response: + try: + content, filename = export_report_markdown(session, report_type="item", item_id=item_id) + except ValueError: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="报告不存在") + return Response(content=content, media_type="text/markdown; charset=utf-8", headers={"Content-Disposition": f"attachment; filename*=UTF-8''{quote(filename)}"}) diff --git a/app/models.py b/app/models.py new file mode 100644 index 0000000..9202cd5 --- /dev/null +++ b/app/models.py @@ -0,0 +1,176 @@ +import uuid +from datetime import UTC, datetime + +from sqlalchemy import CheckConstraint, Float, ForeignKey, Index, Integer, String, Text +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from app.db import Base + + +def new_uuid() -> str: + return str(uuid.uuid4()) + + +def utc_now() -> datetime: + return datetime.now(UTC) + + +class Task(Base): + __tablename__ = "tasks" + __table_args__ = ( + CheckConstraint("status IN ('running', 'success', 'failed')", name="ck_tasks_status"), + CheckConstraint( + "analysis_status IN ('normal', 'insufficient')", + name="ck_tasks_analysis_status", + ), + ) + + id: Mapped[str] = mapped_column(String(36), primary_key=True, default=new_uuid) + platform: Mapped[str] = mapped_column(String(32), nullable=False) + status: Mapped[str] = mapped_column(String(16), nullable=False, default="running") + analysis_status: Mapped[str] = mapped_column(String(16), nullable=False, default="normal") + analysis_success_rate: Mapped[float] = mapped_column(Float, nullable=False, default=0.0) + hotspot_limit: Mapped[int] = mapped_column(Integer, nullable=False, default=5) + item_limit_per_hotspot: Mapped[int] = mapped_column(Integer, nullable=False, default=5) + comment_limit_per_item: Mapped[int] = mapped_column(Integer, nullable=False, default=50) + total_items_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + processed_items_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + successful_items_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + failed_items_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + error_stage: Mapped[str | None] = mapped_column(String(64)) + error_type: Mapped[str | None] = mapped_column(String(64)) + error_message: Mapped[str | None] = mapped_column(Text) + created_at: Mapped[datetime] = mapped_column(nullable=False, default=utc_now) + started_at: Mapped[datetime | None] = mapped_column() + finished_at: Mapped[datetime | None] = mapped_column() + + hotspots: Mapped[list["Hotspot"]] = relationship(back_populates="task") + content_items: Mapped[list["ContentItem"]] = relationship(back_populates="task") + comments: Mapped[list["Comment"]] = relationship(back_populates="task") + reports: Mapped[list["Report"]] = relationship(back_populates="task") + + +class Hotspot(Base): + __tablename__ = "hotspots" + + id: Mapped[str] = mapped_column(String(36), primary_key=True, default=new_uuid) + task_id: Mapped[str] = mapped_column(ForeignKey("tasks.id"), nullable=False) + platform: Mapped[str] = mapped_column(String(32), nullable=False) + source_hot_id: Mapped[str | None] = mapped_column(String(128)) + rank: Mapped[int | None] = mapped_column(Integer) + title: Mapped[str] = mapped_column(Text, nullable=False) + heat_value: Mapped[str | None] = mapped_column(String(128)) + raw_data: Mapped[str] = mapped_column(Text, nullable=False, default="{}") + created_at: Mapped[datetime] = mapped_column(nullable=False, default=utc_now) + + task: Mapped[Task] = relationship(back_populates="hotspots") + content_items: Mapped[list["ContentItem"]] = relationship(back_populates="hotspot") + comments: Mapped[list["Comment"]] = relationship(back_populates="hotspot") + reports: Mapped[list["Report"]] = relationship(back_populates="hotspot") + + +class ContentItem(Base): + __tablename__ = "content_items" + __table_args__ = ( + Index("ix_content_items_task_hotspot", "task_id", "hotspot_id"), + ) + + id: Mapped[str] = mapped_column(String(36), primary_key=True, default=new_uuid) + task_id: Mapped[str] = mapped_column(ForeignKey("tasks.id"), nullable=False) + hotspot_id: Mapped[str] = mapped_column(ForeignKey("hotspots.id"), nullable=False) + platform: Mapped[str] = mapped_column(String(32), nullable=False) + source_item_id: Mapped[str] = mapped_column(String(128), nullable=False) + item_type: Mapped[str] = mapped_column(String(32), nullable=False) + title: Mapped[str | None] = mapped_column(Text) + summary: Mapped[str | None] = mapped_column(Text) + url: Mapped[str | None] = mapped_column(Text) + status: Mapped[str] = mapped_column(String(32), nullable=False, default="pending") + error_stage: Mapped[str | None] = mapped_column(String(64)) + error_type: Mapped[str | None] = mapped_column(String(64)) + error_message: Mapped[str | None] = mapped_column(Text) + raw_data: Mapped[str] = mapped_column(Text, nullable=False, default="{}") + created_at: Mapped[datetime] = mapped_column(nullable=False, default=utc_now) + + task: Mapped[Task] = relationship(back_populates="content_items") + hotspot: Mapped[Hotspot] = relationship(back_populates="content_items") + comments: Mapped[list["Comment"]] = relationship(back_populates="content_item") + reports: Mapped[list["Report"]] = relationship(back_populates="content_item") + + +class Comment(Base): + __tablename__ = "comments" + __table_args__ = ( + Index("ix_comments_task_content_item", "task_id", "content_item_id"), + ) + + id: Mapped[str] = mapped_column(String(36), primary_key=True, default=new_uuid) + task_id: Mapped[str] = mapped_column(ForeignKey("tasks.id"), nullable=False) + hotspot_id: Mapped[str] = mapped_column(ForeignKey("hotspots.id"), nullable=False) + content_item_id: Mapped[str] = mapped_column(ForeignKey("content_items.id"), nullable=False) + platform: Mapped[str] = mapped_column(String(32), nullable=False) + source_comment_id: Mapped[str | None] = mapped_column(String(128)) + content: Mapped[str] = mapped_column(Text, nullable=False) + author: Mapped[str | None] = mapped_column(Text) + like_count: Mapped[int | None] = mapped_column(Integer) + comment_time: Mapped[datetime | None] = mapped_column() + sentiment: Mapped[str] = mapped_column(String(32), nullable=False, default="unknown") + labels: Mapped[str] = mapped_column(Text, nullable=False, default="[]") + reason: Mapped[str | None] = mapped_column(Text) + ai_analysis_status: Mapped[str] = mapped_column(String(32), nullable=False, default="skipped") + raw_data: Mapped[str] = mapped_column(Text, nullable=False, default="{}") + ai_raw_response: Mapped[str | None] = mapped_column(Text) + created_at: Mapped[datetime] = mapped_column(nullable=False, default=utc_now) + + task: Mapped[Task] = relationship(back_populates="comments") + hotspot: Mapped[Hotspot] = relationship(back_populates="comments") + content_item: Mapped[ContentItem] = relationship(back_populates="comments") + + +class Report(Base): + __tablename__ = "reports" + __table_args__ = ( + Index("ix_reports_task_report_type", "task_id", "report_type"), + ) + + id: Mapped[str] = mapped_column(String(36), primary_key=True, default=new_uuid) + task_id: Mapped[str] = mapped_column(ForeignKey("tasks.id"), nullable=False) + hotspot_id: Mapped[str | None] = mapped_column(ForeignKey("hotspots.id")) + content_item_id: Mapped[str | None] = mapped_column(ForeignKey("content_items.id")) + report_type: Mapped[str] = mapped_column(String(32), nullable=False) + title: Mapped[str] = mapped_column(Text, nullable=False) + data: Mapped[str] = mapped_column(Text, nullable=False, default="{}") + markdown: Mapped[str] = mapped_column(Text, nullable=False, default="") + metrics_json: Mapped[str] = mapped_column(Text, nullable=False, default="{}") + typical_comments_json: Mapped[str] = mapped_column(Text, nullable=False, default="[]") + summary: Mapped[str] = mapped_column(Text, nullable=False, default="") + markdown_content: Mapped[str] = mapped_column(Text, nullable=False, default="") + created_at: Mapped[datetime] = mapped_column(nullable=False, default=utc_now) + + task: Mapped[Task] = relationship(back_populates="reports") + hotspot: Mapped[Hotspot | None] = relationship(back_populates="reports") + content_item: Mapped[ContentItem | None] = relationship(back_populates="reports") + + +def create_report_record( + *, + task_id: str, + report_type: str, + title: str, + hotspot_id: str | None = None, + content_item_id: str | None = None, + data: str = "{}", + markdown: str = "", +) -> Report: + if report_type == "hotspot" and not hotspot_id: + raise ValueError("hotspot report requires hotspot_id") + if report_type == "content_item" and not content_item_id: + raise ValueError("content item report requires content_item_id") + return Report( + task_id=task_id, + report_type=report_type, + title=title, + hotspot_id=hotspot_id, + content_item_id=content_item_id, + data=data, + markdown=markdown, + ) diff --git a/app/platforms/.gitkeep b/app/platforms/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/app/platforms/.gitkeep @@ -0,0 +1 @@ + diff --git a/app/platforms/base.py b/app/platforms/base.py new file mode 100644 index 0000000..e53d702 --- /dev/null +++ b/app/platforms/base.py @@ -0,0 +1,117 @@ +import time +from dataclasses import dataclass +from datetime import UTC, datetime +from typing import Any + +import httpx + + +@dataclass +class HotspotData: + source_hot_id: str | None + title: str + rank: int | None = None + heat_value: str | None = None + raw_data: dict[str, Any] | None = None + + +@dataclass +class ContentItemData: + source_item_id: str + item_type: str + title: str | None = None + summary: str | None = None + url: str | None = None + raw_data: dict[str, Any] | None = None + + +@dataclass +class CommentData: + source_comment_id: str | None + content: str + author: str | None = None + like_count: int | None = None + comment_time: datetime | None = None + raw_data: dict[str, Any] | None = None + + +class PlatformAPIError(Exception): + def __init__(self, message: str, *, error_type: str, status_code: int | None = None): + super().__init__(message) + self.error_type = error_type + self.status_code = status_code + + +class TikHubClient: + def __init__( + self, + *, + base_url: str, + api_key: str, + timeout_seconds: int = 20, + max_retries: int = 3, + http_client: httpx.Client | None = None, + ) -> None: + self.base_url = base_url.rstrip("/") + self.api_key = api_key + self.timeout_seconds = timeout_seconds + self.max_retries = max_retries + self._http_client = http_client or httpx.Client(timeout=timeout_seconds) + + def get(self, path: str, *, params: dict[str, Any] | None = None) -> dict[str, Any]: + return self._request("GET", path, params=params) + + def post(self, path: str, *, json: dict[str, Any] | None = None) -> dict[str, Any]: + return self._request("POST", path, json=json) + + def _request(self, method: str, path: str, **kwargs) -> dict[str, Any]: + url = f"{self.base_url}{path}" + headers = {"Authorization": f"Bearer {self.api_key}"} if self.api_key else {} + last_status: int | None = None + for attempt in range(self.max_retries + 1): + try: + response = self._http_client.request(method, url, headers=headers, **kwargs) + except httpx.RequestError as exc: + if attempt >= self.max_retries: + raise PlatformAPIError("External API request failed", error_type="network_error") from exc + time.sleep(2**attempt) + continue + + last_status = response.status_code + if response.status_code == 429: + if attempt >= self.max_retries: + raise PlatformAPIError( + "External API rate limited", + error_type="rate_limited", + status_code=response.status_code, + ) + time.sleep(2**attempt) + continue + if response.is_error: + raise PlatformAPIError( + f"External API returned HTTP {response.status_code}", + error_type="api_error", + status_code=response.status_code, + ) + return response.json() + + raise PlatformAPIError("External API request failed", error_type="api_error", status_code=last_status) + + +def parse_timestamp(value: Any) -> datetime | None: + if value in (None, ""): + return None + try: + number = int(value) + except (TypeError, ValueError): + return None + if number > 10_000_000_000: + number = number // 1000 + return datetime.fromtimestamp(number, tz=UTC) + + +def first_present(data: dict[str, Any], *keys: str) -> Any: + for key in keys: + if key in data and data[key] not in (None, ""): + return data[key] + return None diff --git a/app/platforms/douyin.py b/app/platforms/douyin.py new file mode 100644 index 0000000..4e8f16f --- /dev/null +++ b/app/platforms/douyin.py @@ -0,0 +1,99 @@ +from typing import Any + +from app.platforms.base import CommentData, ContentItemData, HotspotData, TikHubClient, first_present, parse_timestamp + + +class DouyinPlatform: + def __init__(self, client: TikHubClient | None) -> None: + self.client = client + + def map_hotspots(self, payload: dict[str, Any], *, limit: int) -> list[HotspotData]: + data = payload.get("data", {}) + items = data.get("word_list") or data.get("list") or data.get("item_list") or [] + result = [] + for index, item in enumerate(items[:limit], start=1): + result.append( + HotspotData( + source_hot_id=str(item.get("query_id")) if item.get("query_id") is not None else None, + title=str(first_present(item, "title", "sentence", "word") or ""), + rank=item.get("rank") or index, + heat_value=str(item.get("hot_score")) if item.get("hot_score") is not None else None, + raw_data=item, + ) + ) + return result + + def map_items(self, payload: dict[str, Any], *, limit: int) -> list[ContentItemData]: + data = payload.get("data", []) + raw_items = data.get("business_data") or data.get("data") or data.get("items") or [] if isinstance(data, dict) else data + result = [] + for item in raw_items[:limit]: + nested = item.get("data", item) if isinstance(item, dict) else {} + aweme = nested.get("aweme_info", nested) if isinstance(nested, dict) else {} + aweme_id = aweme.get("aweme_id") + if not aweme_id: + continue + result.append( + ContentItemData( + source_item_id=str(aweme_id), + item_type="video", + title=aweme.get("desc"), + summary=aweme.get("desc"), + url=aweme.get("share_url"), + raw_data=aweme, + ) + ) + return result + + def map_comments(self, payload: dict[str, Any], *, limit: int) -> list[CommentData]: + comments = payload.get("comments") or payload.get("data", {}).get("comments") or [] + result = [] + for comment in comments[:limit]: + content = comment.get("text") + if not content: + continue + result.append( + CommentData( + source_comment_id=first_present(comment, "comment_id", "cid"), + content=str(content), + author=self._author_name(comment), + like_count=comment.get("digg_count"), + comment_time=parse_timestamp(first_present(comment, "create_time", "create_time_str")), + raw_data=comment, + ) + ) + return result + + def fetch_hotspots(self, *, limit: int) -> list[HotspotData]: + payload = self.client.get( + "/api/v1/douyin/creator/fetch_creator_hot_spot_billboard", + params={"billboard_tag": 0, "hot_search_type": 1}, + ) + return self.map_hotspots(payload, limit=limit) + + def search_items_by_hotspot(self, keyword: str, *, limit: int) -> list[ContentItemData]: + payload = self.client.post( + "/api/v1/douyin/search/fetch_video_search_v2", + json={ + "keyword": keyword, + "cursor": 0, + "sort_type": "0", + "publish_time": "0", + "filter_duration": "0", + "content_type": "1", + "search_id": "", + "backtrace": "", + }, + ) + return self.map_items(payload, limit=limit) + + def fetch_comments(self, source_item_id: str, *, limit: int) -> list[CommentData]: + payload = self.client.get( + "/api/v1/douyin/app/v3/fetch_video_comments", + params={"aweme_id": source_item_id, "cursor": 0, "count": 20}, + ) + return self.map_comments(payload, limit=limit) + + def _author_name(self, comment: dict[str, Any]) -> str | None: + user = comment.get("user") or {} + return user.get("nickname") or user.get("name") if isinstance(user, dict) else None diff --git a/app/platforms/xiaohongshu.py b/app/platforms/xiaohongshu.py new file mode 100644 index 0000000..314bd27 --- /dev/null +++ b/app/platforms/xiaohongshu.py @@ -0,0 +1,84 @@ +from typing import Any + +from app.platforms.base import CommentData, ContentItemData, HotspotData, TikHubClient, first_present, parse_timestamp + + +class XiaohongshuPlatform: + def __init__(self, client: TikHubClient | None) -> None: + self.client = client + + def map_hotspots(self, payload: dict[str, Any], *, limit: int) -> list[HotspotData]: + items = payload.get("data", {}).get("data", {}).get("items", []) + hotspots = [] + for index, item in enumerate(items[:limit], start=1): + hotspots.append( + HotspotData( + source_hot_id=str(item.get("id")) if item.get("id") is not None else None, + title=str(item.get("title") or ""), + rank=index, + heat_value=str(item.get("score")) if item.get("score") is not None else None, + raw_data=item, + ) + ) + return hotspots + + def map_items(self, payload: dict[str, Any], *, limit: int) -> list[ContentItemData]: + raw_items = payload.get("data", {}).get("data", {}).get("items", []) + notes = [item.get("note", item) for item in raw_items] + notes.sort(key=lambda note: 0 if int(note.get("comments_count") or 0) > 0 else 1) + result = [] + for note in notes[:limit]: + note_id = note.get("id") + if not note_id: + continue + result.append( + ContentItemData( + source_item_id=str(note_id), + item_type="note", + title=note.get("title"), + summary=note.get("desc"), + url=note.get("url"), + raw_data=note, + ) + ) + return result + + def map_comments(self, payload: dict[str, Any], *, limit: int) -> list[CommentData]: + comments = payload.get("data", {}).get("data", {}).get("comments", []) + result = [] + for comment in comments[:limit]: + content = first_present(comment, "content", "text") + if not content: + continue + result.append( + CommentData( + source_comment_id=first_present(comment, "comment_id", "id"), + content=str(content), + author=self._author_name(comment), + like_count=comment.get("like_count"), + comment_time=parse_timestamp(first_present(comment, "create_time", "create_time_str")), + raw_data=comment, + ) + ) + return result + + def fetch_hotspots(self, *, limit: int) -> list[HotspotData]: + return self.map_hotspots(self.client.get("/api/v1/xiaohongshu/web_v2/fetch_hot_list"), limit=limit) + + def search_items_by_hotspot(self, keyword: str, *, limit: int) -> list[ContentItemData]: + payload = self.client.get( + "/api/v1/xiaohongshu/app_v2/search_notes", + params={"keyword": keyword, "page": 1, "sort": "general", "note_type": 0}, + ) + return self.map_items(payload, limit=limit) + + def fetch_comments(self, source_item_id: str, *, limit: int) -> list[CommentData]: + payload = self.client.get( + "/api/v1/xiaohongshu/app_v2/get_note_comments", + params={"note_id": source_item_id, "cursor": "", "index": 0, "pageArea": "UNFOLDED", "sort_strategy": "latest_v2"}, + ) + return self.map_comments(payload, limit=limit) + + def _author_name(self, comment: dict[str, Any]) -> str | None: + user = comment.get("user_info") or comment.get("user") or {} + return user.get("nickname") or user.get("name") if isinstance(user, dict) else None diff --git a/app/prompts/comment_analysis.txt b/app/prompts/comment_analysis.txt new file mode 100644 index 0000000..e6a3a63 --- /dev/null +++ b/app/prompts/comment_analysis.txt @@ -0,0 +1,4 @@ +只返回 JSON Array，不输出 Markdown 或解释性自然语言。 +请原样回填输入中的 comment_id，不得修改或生成新 ID。 +sentiment 只能是 positive、negative、neutral、unknown。 +labels 使用 1 到 3 个简短中文短语；无法判断时 labels 可为空数组。 diff --git a/app/prompts/report_summary.txt b/app/prompts/report_summary.txt new file mode 100644 index 0000000..78464e7 --- /dev/null +++ b/app/prompts/report_summary.txt @@ -0,0 +1,3 @@ +根据输入的情绪分布、Top 标签和典型评论，生成事实性中文总结。 +只输出纯文本，不使用 Markdown，不超过指定字数。 +总结失败时由后端使用默认文案兜底。 diff --git a/app/schemas.py b/app/schemas.py new file mode 100644 index 0000000..e560bb7 --- /dev/null +++ b/app/schemas.py @@ -0,0 +1,40 @@ +from datetime import datetime +from typing import Literal + +from pydantic import AliasChoices, BaseModel, ConfigDict, Field + + +class CreateTaskRequest(BaseModel): + platform: Literal["xiaohongshu", "douyin"] + hotspot_limit: int = Field(default=5, ge=1, le=10) + item_limit_per_hotspot: int = Field( + default=5, + ge=1, + le=10, + validation_alias=AliasChoices("item_limit_per_hotspot", "item_limit"), + ) + comment_limit_per_item: int = Field(default=50, ge=10, le=100) + + +class TaskResponse(BaseModel): + model_config = ConfigDict(from_attributes=True) + + task_id: str = Field(validation_alias="id", serialization_alias="task_id") + platform: str + status: str + analysis_status: str + analysis_success_rate: float + hotspot_limit: int + item_limit_per_hotspot: int + comment_limit_per_item: int + total_items_count: int + processed_items_count: int + successful_items_count: int + failed_items_count: int + error_message: str | None + created_at: datetime + + +class CreateTaskResponse(BaseModel): + task_id: str + status: str diff --git a/app/services/.gitkeep b/app/services/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/app/services/.gitkeep @@ -0,0 +1 @@ + diff --git a/app/services/__init__.py b/app/services/__init__.py new file mode 100644 index 0000000..5917348 --- /dev/null +++ b/app/services/__init__.py @@ -0,0 +1 @@ +"""Service modules for task execution, crawling, AI analysis, reports, and export.""" diff --git a/app/services/ai_service.py b/app/services/ai_service.py new file mode 100644 index 0000000..06e0d19 --- /dev/null +++ b/app/services/ai_service.py @@ -0,0 +1,140 @@ +import json +import time +from dataclasses import dataclass +from typing import Literal + +import httpx +from pydantic import BaseModel, Field, ValidationError + + +Sentiment = Literal["positive", "negative", "neutral", "unknown"] + + +@dataclass(frozen=True) +class AIAnalysisResult: + comment_id: str + sentiment: str + labels: list[str] + reason: str = "" + ai_analysis_status: str = "success" + + +class AIAnalysisItem(BaseModel): + comment_id: str + sentiment: Sentiment + labels: list[str] = Field(default_factory=list, max_length=3) + reason: str = "" + + +def build_comment_prompt(comments: list[dict[str, str]]) -> str: + payload = [ + { + "comment_id": str(comment["comment_id"]), + "content": str(comment.get("content", ""))[:150], + } + for comment in comments + ] + return ( + "只返回 JSON Array，不输出 Markdown 或解释性自然语言。" + "请原样回填输入中的 comment_id，不得修改或生成新 ID。" + "sentiment 只能是 positive、negative、neutral、unknown；labels 最多 3 个简短中文短语。\n" + f"{json.dumps(payload, ensure_ascii=False)}" + ) + + +def parse_ai_comment_response(response_text: str, *, expected_comment_ids: set[str]) -> list[AIAnalysisResult]: + try: + raw = json.loads(response_text) + except json.JSONDecodeError as exc: + raise ValueError("AI response is not valid JSON") from exc + if not isinstance(raw, list): + raise ValueError("AI response must be a JSON Array") + + results = [] + for item in raw: + try: + parsed = AIAnalysisItem.model_validate(item) + except ValidationError as exc: + raise ValueError("AI response item does not match schema") from exc + if parsed.comment_id not in expected_comment_ids: + raise ValueError("AI response comment_id does not match input") + results.append( + AIAnalysisResult( + comment_id=parsed.comment_id, + sentiment=parsed.sentiment, + labels=parsed.labels, + reason=parsed.reason, + ) + ) + return results + + +def calculate_analysis_status(*, success_count: int, total_count: int) -> tuple[float, str]: + if total_count <= 0: + return 0.0, "insufficient" + rate = success_count / total_count + return rate, "normal" if rate >= 0.8 else "insufficient" + + +def analyze_comments_with_retry( + comments: list[dict[str, str]], + *, + requester, + max_retries: int = 3, +) -> list[AIAnalysisResult]: + expected_ids = {str(comment["comment_id"]) for comment in comments} + prompt = build_comment_prompt(comments) + for attempt in range(max_retries): + try: + return parse_ai_comment_response(requester(prompt), expected_comment_ids=expected_ids) + except Exception: + if attempt >= max_retries - 1: + break + time.sleep(2**attempt) + return [ + AIAnalysisResult( + comment_id=comment_id, + sentiment="unknown", + labels=[], + reason="ai_parse_failed", + ai_analysis_status="failed", + ) + for comment_id in expected_ids + ] + + +class OpenAICompatibleAIClient: + def __init__( + self, + *, + base_url: str, + api_key: str, + model: str, + timeout_seconds: int = 30, + http_client: httpx.Client | None = None, + ) -> None: + self.base_url = base_url.rstrip("/") + self.api_key = api_key + self.model = model + self._http_client = http_client or httpx.Client(timeout=timeout_seconds) + + def request(self, prompt: str) -> str: + endpoint = f"{self.base_url}/chat/completions" if self.base_url.endswith("/v1") else f"{self.base_url}/v1/chat/completions" + response = self._http_client.post( + endpoint, + headers={"Authorization": f"Bearer {self.api_key}"}, + json={ + "model": self.model, + "messages": [ + { + "role": "system", + "content": "只返回 JSON Array，不输出 Markdown 或解释性自然语言。", + }, + {"role": "user", "content": prompt}, + ], + "temperature": 0, + }, + ) + response.raise_for_status() + payload = response.json() + return str(payload["choices"][0]["message"]["content"]) diff --git a/app/services/export_service.py b/app/services/export_service.py new file mode 100644 index 0000000..59db585 --- /dev/null +++ b/app/services/export_service.py @@ -0,0 +1,104 @@ +import csv +import io +import json +import re + +from sqlalchemy import select +from sqlalchemy.orm import Session + +from app.models import Comment, ContentItem, Hotspot, Report + + +def labels_to_text(labels_json: str | None) -> str: + try: + labels = json.loads(labels_json or "[]") + except json.JSONDecodeError: + return "" + return "，".join(str(label) for label in labels) if isinstance(labels, list) else "" + + +def safe_csv_field(value) -> str: + text = "" if value is None else str(value) + text = text.replace("\r\n", " ").replace("\n", " ").replace("\r", " ") + if text.startswith(("=", "+", "-", "@")): + return f"'{text}" + return text + + +def safe_filename(platform: str, task_id: str, hotspot_keyword: str, *, extension: str = "csv") -> str: + keyword = hotspot_keyword[:20] + ("..." if len(hotspot_keyword) > 20 else "") + name = f"{platform}_{task_id}_{keyword}" + name = re.sub(r'[/\\:*?"<>|]+', "_", name) + name = re.sub(r"_+", "_", name).strip("_") + return f"{name}.{extension}" + + +def export_item_comments_csv(session: Session, item_id: str) -> tuple[bytes, str]: + item = session.get(ContentItem, item_id) + if item is None: + raise ValueError("content item not found") + hotspot = session.get(Hotspot, item.hotspot_id) + comments = list(session.scalars(select(Comment).where(Comment.content_item_id == item.id))) + output = io.StringIO() + writer = csv.writer(output) + writer.writerow(["平台", "任务 ID", "热点 ID", "热点标题", "内容条目 ID", "内容条目标题", "评论 ID", "评论内容", "情绪倾向", "方向标签", "点赞数", "评论时间"]) + for comment in comments: + writer.writerow( + [ + item.platform, + item.task_id, + hotspot.id if hotspot else "", + hotspot.title if hotspot else "", + item.id, + item.title or "", + comment.source_comment_id or "", + safe_csv_field(comment.content), + comment.sentiment, + labels_to_text(comment.labels), + comment.like_count or 0, + comment.comment_time or "", + ] + ) + filename = safe_filename(item.platform, item.task_id, hotspot.title if hotspot else item.title or "comments") + return output.getvalue().encode("utf-8-sig"), filename + + +def export_hotspot_comments_csv(session: Session, hotspot_id: str) -> tuple[bytes, str]: + hotspot = session.get(Hotspot, hotspot_id) + if hotspot is None: + raise ValueError("hotspot not found") + comments = list(session.scalars(select(Comment).where(Comment.hotspot_id == hotspot.id))) + output = io.StringIO() + writer = csv.writer(output) + writer.writerow(["平台", "任务 ID", "热点 ID", "热点标题", "内容条目 ID", "内容条目标题", "评论 ID", "评论内容", "情绪倾向", "方向标签", "点赞数", "评论时间"]) + for comment in comments: + item = session.get(ContentItem, comment.content_item_id) + writer.writerow( + [ + comment.platform, + comment.task_id, + hotspot.id, + hotspot.title, + item.id if item else "", + item.title if item else "", + comment.source_comment_id or "", + safe_csv_field(comment.content), + comment.sentiment, + labels_to_text(comment.labels), + comment.like_count or 0, + comment.comment_time or "", + ] + ) + return output.getvalue().encode("utf-8-sig"), safe_filename(hotspot.platform, hotspot.task_id, hotspot.title) + + +def export_report_markdown(session: Session, *, report_type: str, hotspot_id: str | None = None, item_id: str | None = None) -> tuple[str, str]: + query = select(Report).where(Report.report_type == report_type) + if hotspot_id: + query = query.where(Report.hotspot_id == hotspot_id) + if item_id: + query = query.where(Report.content_item_id == item_id) + report = session.scalar(query) + if report is None: + raise ValueError("report not found") + return report.markdown_content or report.markdown, safe_filename("report", report.task_id, report.title, extension="md") diff --git a/app/services/report_service.py b/app/services/report_service.py new file mode 100644 index 0000000..bf56848 --- /dev/null +++ b/app/services/report_service.py @@ -0,0 +1,162 @@ +import json +from collections import Counter, defaultdict +from collections.abc import Callable + +from sqlalchemy import func, select +from sqlalchemy.orm import Session + +from app.models import Comment, ContentItem, Hotspot, Report + + +DEFAULT_SUMMARY = "总结生成失败，请查看上方统计数据。" + + +def _labels(value: str | None) -> list[str]: + try: + parsed = json.loads(value or "[]") + except json.JSONDecodeError: + return [] + return [str(label) for label in parsed] if isinstance(parsed, list) else [] + + +def build_comment_metrics(comments: list[Comment]) -> dict: + sentiment_counts = Counter(comment.sentiment or "unknown" for comment in comments) + label_counts = Counter(label for comment in comments for label in _labels(comment.labels)) + total = len(comments) + + def sentiment_entry(name: str) -> dict: + count = sentiment_counts.get(name, 0) + return {"count": count, "pct": round((count / total * 100) if total else 0, 2)} + + return { + "sample_count": total, + "sentiment": { + "positive": sentiment_entry("positive"), + "negative": sentiment_entry("negative"), + "neutral": sentiment_entry("neutral"), + "unknown": sentiment_entry("unknown"), + }, + "top_labels": [{"name": name, "count": count} for name, count in label_counts.most_common(5)], + } + + +def select_typical_comments(comments: list[Comment], *, per_sentiment: int = 2) -> dict[str, list[dict]]: + buckets: dict[str, list[Comment]] = defaultdict(list) + for comment in comments: + buckets[comment.sentiment or "unknown"].append(comment) + + result = {} + for sentiment, values in buckets.items(): + sorted_values = sorted(values, key=lambda c: (c.like_count or 0, c.comment_time or c.created_at), reverse=True) + result[sentiment] = [ + {"content": comment.content, "like_count": comment.like_count or 0, "comment_id": comment.source_comment_id} + for comment in sorted_values[:per_sentiment] + ] + return result + + +def generate_item_report( + session: Session, + content_item_id: str, + *, + summary_provider: Callable[[dict, dict], str] | None = None, +) -> Report: + item = session.get(ContentItem, content_item_id) + if item is None: + raise ValueError("content item not found") + hotspot = session.get(Hotspot, item.hotspot_id) + comments = list(session.scalars(select(Comment).where(Comment.content_item_id == item.id))) + metrics = build_comment_metrics(comments) + typical = select_typical_comments(comments) + summary = _safe_summary(summary_provider, metrics, typical, limit=200) + markdown = _build_markdown(title=item.title or item.source_item_id, metrics=metrics, typical=typical, summary=summary, hotspot_title=hotspot.title if hotspot else "") + report = Report( + task_id=item.task_id, + hotspot_id=item.hotspot_id, + content_item_id=item.id, + report_type="item", + title=item.title or item.source_item_id, + data=json.dumps(metrics, ensure_ascii=False), + markdown=markdown, + metrics_json=json.dumps(metrics, ensure_ascii=False), + typical_comments_json=json.dumps(typical, ensure_ascii=False), + summary=summary, + markdown_content=markdown, + ) + session.add(report) + session.commit() + session.refresh(report) + return report + + +def generate_hotspot_report( + session: Session, + hotspot_id: str, + *, + summary_provider: Callable[[dict, dict], str] | None = None, +) -> Report: + hotspot = session.get(Hotspot, hotspot_id) + if hotspot is None: + raise ValueError("hotspot not found") + comments = list(session.scalars(select(Comment).where(Comment.hotspot_id == hotspot.id))) + item_count = session.scalar(select(func.count(ContentItem.id)).where(ContentItem.hotspot_id == hotspot.id)) or 0 + metrics = build_comment_metrics(comments) + metrics["item_count"] = item_count + typical = select_typical_comments(comments) + summary = _safe_summary(summary_provider, metrics, typical, limit=300) + markdown = _build_markdown(title=hotspot.title, metrics=metrics, typical=typical, summary=summary) + report = Report( + task_id=hotspot.task_id, + hotspot_id=hotspot.id, + content_item_id=None, + report_type="hotspot", + title=hotspot.title, + data=json.dumps(metrics, ensure_ascii=False), + markdown=markdown, + metrics_json=json.dumps(metrics, ensure_ascii=False), + typical_comments_json=json.dumps(typical, ensure_ascii=False), + summary=summary, + markdown_content=markdown, + ) + session.add(report) + session.commit() + session.refresh(report) + return report + + +def _safe_summary(summary_provider, metrics: dict, typical: dict, *, limit: int) -> str: + if summary_provider is None: + return DEFAULT_SUMMARY + try: + summary = summary_provider(metrics, typical) + except Exception: + return DEFAULT_SUMMARY + return str(summary)[:limit] + + +def _build_markdown(*, title: str, metrics: dict, typical: dict, summary: str, hotspot_title: str = "") -> str: + lines = [ + f"# {title}", + "", + ] + if hotspot_title: + lines.extend([f"- 所属热点：{hotspot_title}", ""]) + lines.extend( + [ + f"- 样本评论数量：{metrics['sample_count']}", + "", + "## 情绪分布", + ] + ) + for name in ("positive", "neutral", "negative", "unknown"): + item = metrics["sentiment"][name] + lines.append(f"- {name}: {item['count']} ({item['pct']}%)") + lines.extend(["", "## Top 标签"]) + for label in metrics["top_labels"]: + lines.append(f"- {label['name']}: {label['count']}") + lines.extend(["", "## 典型评论"]) + for sentiment, comments in typical.items(): + for comment in comments: + lines.append(f"- [{sentiment}] {comment['content']}") + lines.extend(["", "## 总结", summary]) + return "\n".join(lines) diff --git a/app/services/task_service.py b/app/services/task_service.py new file mode 100644 index 0000000..3d0c807 --- /dev/null +++ b/app/services/task_service.py @@ -0,0 +1,243 @@ +import inspect +import json +from concurrent.futures import ThreadPoolExecutor +from collections.abc import Callable + +from sqlalchemy import func, select +from sqlalchemy.orm import Session, sessionmaker + +from app.config import get_settings +from app.db import SessionLocal +from app.models import Comment, ContentItem, Hotspot, Task +from app.platforms.base import PlatformAPIError, TikHubClient +from app.platforms.douyin import DouyinPlatform +from app.platforms.xiaohongshu import XiaohongshuPlatform +from app.schemas import CreateTaskRequest +from app.services.ai_service import OpenAICompatibleAIClient, analyze_comments_with_retry, calculate_analysis_status +from app.services.report_service import generate_hotspot_report, generate_item_report + + +RUNNING_TASK_MESSAGE = "当前有正在运行的任务，请稍后再试" +RESTART_ERROR_MESSAGE = "系统重启，任务被中断" +task_executor = ThreadPoolExecutor(max_workers=1) + + +def has_running_task(session: Session) -> bool: + return session.scalar(select(Task.id).where(Task.status == "running").limit(1)) is not None + + +def recover_running_tasks(session: Session) -> int: + tasks = list(session.scalars(select(Task).where(Task.status == "running"))) + for task in tasks: + task.status = "failed" + task.error_stage = "system" + task.error_type = "unexpected_restart" + task.error_message = RESTART_ERROR_MESSAGE + session.commit() + return len(tasks) + + +def build_platform(platform: str): + settings = get_settings() + client = TikHubClient( + base_url=settings.tikhub_base_url, + api_key=settings.tikhub_api_key, + timeout_seconds=settings.http_timeout_seconds, + max_retries=settings.http_max_retries, + ) + if platform == "xiaohongshu": + return XiaohongshuPlatform(client) + if platform == "douyin": + return DouyinPlatform(client) + raise ValueError(f"Unsupported platform: {platform}") + + +def build_ai_requester(): + settings = get_settings() + if settings.ai_base_url and settings.ai_api_key and settings.ai_model: + client = OpenAICompatibleAIClient( + base_url=settings.ai_base_url, + api_key=settings.ai_api_key, + model=settings.ai_model, + timeout_seconds=settings.ai_timeout_seconds, + ) + return client.request + + def fallback_requester(_prompt: str) -> str: + return "[]" + + return fallback_requester + + +def create_task(session: Session, request: CreateTaskRequest, *, submit_background: bool = True) -> Task: + task = Task( + platform=request.platform, + status="running", + hotspot_limit=request.hotspot_limit, + item_limit_per_hotspot=request.item_limit_per_hotspot, + comment_limit_per_item=request.comment_limit_per_item, + total_items_count=0, + processed_items_count=0, + successful_items_count=0, + failed_items_count=0, + analysis_success_rate=0.0, + analysis_status="normal", + ) + session.add(task) + session.commit() + session.refresh(task) + if submit_background: + task_executor.submit(run_task, task.id) + return task + + +def list_tasks(session: Session) -> list[Task]: + return list(session.scalars(select(Task).order_by(Task.created_at.desc()))) + + +def get_task(session: Session, task_id: str) -> Task | None: + return session.get(Task, task_id) + + +def run_task(task_id: str, *, session_factory: Callable[[], Session] | sessionmaker = SessionLocal) -> None: + session = session_factory() + close_session = hasattr(session, "close") + try: + task = session.get(Task, task_id) + if task is None: + return + try: + platform = build_platform(task.platform) + try: + hotspots = platform.fetch_hotspots(limit=task.hotspot_limit) + except PlatformAPIError as exc: + _mark_task_failed(task, "crawl_hotspots", exc.error_type, str(exc)) + session.commit() + return + except Exception as exc: + _mark_task_failed(task, "crawl_hotspots", "api_error", str(exc)) + session.commit() + return + + for hotspot_data in hotspots: + hotspot = Hotspot( + task_id=task.id, + platform=task.platform, + source_hot_id=hotspot_data.source_hot_id, + rank=hotspot_data.rank, + title=hotspot_data.title, + heat_value=hotspot_data.heat_value, + raw_data=json.dumps(hotspot_data.raw_data or {}, ensure_ascii=False), + ) + session.add(hotspot) + session.flush() + + try: + items = platform.search_items_by_hotspot(hotspot.title, limit=task.item_limit_per_hotspot) + except Exception as exc: + task.failed_items_count += task.item_limit_per_hotspot + task.error_stage = "crawl_items" + task.error_type = getattr(exc, "error_type", "api_error") + task.error_message = str(exc) + session.commit() + continue + + task.total_items_count += len(items) + seen_item_ids: set[str] = set() + for item_data in items: + if item_data.source_item_id in seen_item_ids: + continue + seen_item_ids.add(item_data.source_item_id) + item = ContentItem( + task_id=task.id, + hotspot_id=hotspot.id, + platform=task.platform, + source_item_id=item_data.source_item_id, + item_type=item_data.item_type, + title=item_data.title, + summary=item_data.summary, + url=item_data.url, + status="pending", + raw_data=json.dumps(item_data.raw_data or {}, ensure_ascii=False), + ) + session.add(item) + session.flush() + try: + comments = platform.fetch_comments(item.source_item_id, limit=task.comment_limit_per_item) + for comment_data in comments: + session.add( + Comment( + task_id=task.id, + hotspot_id=hotspot.id, + content_item_id=item.id, + platform=task.platform, + source_comment_id=comment_data.source_comment_id, + content=comment_data.content, + author=comment_data.author, + like_count=comment_data.like_count, + comment_time=comment_data.comment_time, + raw_data=json.dumps(comment_data.raw_data or {}, ensure_ascii=False), + ) + ) + session.flush() + item_comments = list(session.scalars(select(Comment).where(Comment.content_item_id == item.id))) + ai_results = analyze_comments_with_retry( + [{"comment_id": comment.id, "content": comment.content} for comment in item_comments], + requester=build_ai_requester(), + max_retries=get_settings().ai_max_retries, + ) + results_by_comment_id = {result.comment_id: result for result in ai_results} + for comment in item_comments: + result = results_by_comment_id.get(comment.id) + if result is None: + comment.sentiment = "unknown" + comment.labels = "[]" + comment.reason = "ai_missing_result" + comment.ai_analysis_status = "failed" + continue + comment.sentiment = result.sentiment + comment.labels = json.dumps(result.labels, ensure_ascii=False) + comment.reason = result.reason + comment.ai_analysis_status = result.ai_analysis_status + item.status = "success" + task.successful_items_count += 1 + generate_item_report(session, item.id) + except Exception as exc: + item.status = "failed" + item.error_stage = "crawl_comments" + item.error_type = getattr(exc, "error_type", "api_error") + item.error_message = str(exc) + task.failed_items_count += 1 + task.error_stage = item.error_stage + task.error_type = item.error_type + task.error_message = item.error_message + finally: + task.processed_items_count += 1 + session.commit() + + if task.successful_items_count > 0: + total_comments = session.scalar(select(func.count(Comment.id)).where(Comment.task_id == task.id)) or 0 + success_comments = sum(1 for comment in task.comments if comment.ai_analysis_status == "success") + task.analysis_success_rate, task.analysis_status = calculate_analysis_status( + success_count=success_comments, + total_count=total_comments, + ) + for hotspot in task.hotspots: + generate_hotspot_report(session, hotspot.id) + task.status = "success" + else: + _mark_task_failed(task, task.error_stage or "crawl_items", task.error_type or "no_successful_items", task.error_message or "没有任何内容条目成功") + session.commit() + except Exception as exc: + _mark_task_failed(task, "system", "unexpected_error", str(exc)) + session.commit() + finally: + if close_session: + session.close() + + +def _mark_task_failed(task: Task, stage: str, error_type: str, message: str) -> None: + task.status = "failed" + task.error_stage = stage + task.error_type = error_type + task.error_message = message diff --git a/app/static/.gitkeep b/app/static/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/app/static/.gitkeep @@ -0,0 +1 @@ + diff --git a/app/static/app.css b/app/static/app.css new file mode 100644 index 0000000..dc4fbc8 --- /dev/null +++ b/app/static/app.css @@ -0,0 +1,7 @@ +body { + background: #f8f9fa; +} + +.card { + border-radius: 8px; +} diff --git a/app/static/app.js b/app/static/app.js new file mode 100644 index 0000000..e515c97 --- /dev/null +++ b/app/static/app.js @@ -0,0 +1,93 @@ +function readInt(id) { + return parseInt(document.getElementById(id).value, 10) || 0; +} + +function updateScaleHint() { + const total = readInt("hotspot_limit") * readInt("item_limit_per_hotspot") * readInt("comment_limit_per_item"); + const target = document.getElementById("scale-calc"); + if (target) target.textContent = total.toLocaleString(); +} + +function validateRange(input) { + const value = readInt(input.id); + const min = parseInt(input.min, 10); + const max = parseInt(input.max, 10); + const valid = value >= min && value <= max; + input.classList.toggle("is-invalid", !valid); + return valid; +} + +async function submitTask(event) { + event.preventDefault(); + const btn = document.getElementById("submit-btn"); + const errorBox = document.getElementById("form-error"); + const inputs = Array.from(document.querySelectorAll(".scale-input")); + if (!inputs.every(validateRange)) { + errorBox.textContent = "参数超出范围，请检查配置。"; + errorBox.classList.remove("d-none"); + return; + } + + btn.disabled = true; + btn.textContent = "提交中..."; + errorBox.classList.add("d-none"); + const payload = { + platform: document.getElementById("platform").value, + hotspot_limit: readInt("hotspot_limit"), + item_limit_per_hotspot: readInt("item_limit_per_hotspot"), + comment_limit_per_item: readInt("comment_limit_per_item"), + }; + + try { + const resp = await fetch("/api/tasks", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(payload), + }); + if (resp.ok) { + const data = await resp.json(); + window.location.href = `/tasks/${data.task_id}`; + return; + } + const data = await resp.json(); + errorBox.textContent = resp.status === 422 ? "参数错误，请检查配置。" : (data.detail || "服务器错误，请稍后重试。"); + errorBox.classList.remove("d-none"); + } catch (_error) { + errorBox.textContent = "网络异常，请检查连接后重试。"; + errorBox.classList.remove("d-none"); + } finally { + btn.disabled = false; + btn.textContent = "开始抓取"; + } +} + +document.addEventListener("DOMContentLoaded", () => { + document.querySelectorAll(".scale-input").forEach((input) => { + input.addEventListener("input", () => { + validateRange(input); + updateScaleHint(); + }); + }); + updateScaleHint(); +}); + +async function downloadExport(url, defaultFilename, event) { + if (event) event.preventDefault(); + const resp = await fetch(url); + if (!resp.ok) { + alert("导出失败，请稍后重试。"); + return; + } + const blob = await resp.blob(); + const disposition = resp.headers.get("Content-Disposition") || ""; + const match = disposition.match(/filename\*=UTF-8''([^;]+)/); + const filename = match ? decodeURIComponent(match[1]) : defaultFilename; + const blobUrl = URL.createObjectURL(blob); + const link = document.createElement("a"); + link.href = blobUrl; + link.download = filename; + document.body.appendChild(link); + link.click(); + document.body.removeChild(link); + URL.revokeObjectURL(blobUrl); +} diff --git a/app/templates/.gitkeep b/app/templates/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/app/templates/.gitkeep @@ -0,0 +1 @@ + diff --git a/app/templates/base.html b/app/templates/base.html new file mode 100644 index 0000000..27e481a --- /dev/null +++ b/app/templates/base.html @@ -0,0 +1,35 @@ + + + + + + {% block title %}热榜评论分析工具{% endblock %} + + + + + + + +
+ {% block breadcrumbs %} + + {% endblock %} + {% block content %}{% endblock %} +
+ + + diff --git a/app/templates/hotspots/report.html b/app/templates/hotspots/report.html new file mode 100644 index 0000000..7e806f7 --- /dev/null +++ b/app/templates/hotspots/report.html @@ -0,0 +1,26 @@ +{% extends "base.html" %} +{% block title %}{{ hotspot.title }} 汇总报告 - 热榜评论分析工具{% endblock %} +{% block breadcrumbs %} + +{% endblock %} +{% block content %} +
+

{{ hotspot.title }} 汇总报告

+
+ 导出 Markdown 报告 + 导出热点评论 CSV +
+
+{% if report %} +
+

{{ report.summary }}

+ 
{{ report.markdown_content }}
+
+{% else %} +
报告生成中，请稍候...
+{% endif %} +{% endblock %} diff --git a/app/templates/index.html b/app/templates/index.html new file mode 100644 index 0000000..ac5485e --- /dev/null +++ b/app/templates/index.html @@ -0,0 +1,66 @@ +{% extends "base.html" %} +{% block title %}任务列表 - 热榜评论分析工具{% endblock %} +{% block content %} +
+

任务列表

+ +
+ +
+
创建抓取任务
+
+ +
+
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ +
+
+
+ 预计最多抓取：1250 条评论（实际数量可能受平台返回数量、去重、失败、限流影响） +
+
+
+
+ +
+
历史任务
+
+ + + + + + + + + + + + + + {% include "partials/task_rows.html" %} + +
任务 ID平台创建时间配置规模进度状态操作
+
+
+{% endblock %} diff --git a/app/templates/items/detail.html b/app/templates/items/detail.html new file mode 100644 index 0000000..d42fbb1 --- /dev/null +++ b/app/templates/items/detail.html @@ -0,0 +1,34 @@ +{% extends "base.html" %} +{% block title %}{{ item.title or item.source_item_id }} 详情 - 热榜评论分析工具{% endblock %} +{% block breadcrumbs %} + +{% endblock %} +{% block content %} +
+

{{ item.title or item.source_item_id }}

+
+ 导出 Markdown 报告 + 导出评论 CSV +
+
+{% if report %} +
+

{{ report.summary }}

+ 
{{ report.markdown_content }}
+
+{% endif %} +
评论明细
+ + {% for comment in comments %} + + {% else %} + + {% endfor %} +
评论内容情绪标签点赞
{{ comment.content }}{{ comment.sentiment }}{% for label in comment.labels | from_json %}{{ label }}{% else %}-{% endfor %}{{ comment.like_count or 0 }}
暂无评论数据（该内容无评论或评论抓取为空）
+
+{% endblock %} diff --git a/app/templates/macros/label_tags.html b/app/templates/macros/label_tags.html new file mode 100644 index 0000000..53dc244 --- /dev/null +++ b/app/templates/macros/label_tags.html @@ -0,0 +1,7 @@ +{% macro label_tags(labels_json) %} + {% for label in labels_json | from_json %} + {{ label }} + {% else %} + - + {% endfor %} +{% endmacro %} diff --git a/app/templates/macros/sentiment_badge.html b/app/templates/macros/sentiment_badge.html new file mode 100644 index 0000000..ddba93c --- /dev/null +++ b/app/templates/macros/sentiment_badge.html @@ -0,0 +1,10 @@ +{% macro sentiment_badge(sentiment) %} + {% set config = { + "positive": ("正向", "bg-success"), + "neutral": ("中性", "bg-warning text-dark"), + "negative": ("负向", "bg-danger"), + "unknown": ("未知", "bg-secondary"), + } %} + {% set label, style = config.get(sentiment, ("未知", "bg-secondary")) %} + {{ label }} +{% endmacro %} diff --git a/app/templates/macros/status_badge.html b/app/templates/macros/status_badge.html new file mode 100644 index 0000000..7511be8 --- /dev/null +++ b/app/templates/macros/status_badge.html @@ -0,0 +1,4 @@ +{% macro status_badge(status) %} + {% set label, style = status_badge_config(status) %} + {{ label }} +{% endmacro %} diff --git a/app/templates/partials/task_rows.html b/app/templates/partials/task_rows.html new file mode 100644 index 0000000..513bdd9 --- /dev/null +++ b/app/templates/partials/task_rows.html @@ -0,0 +1,21 @@ +{% for task in tasks %} + {% set status_label, status_class = status_badge_config(task.status) %} + + {{ task.id }} + {{ task.platform | platform_label }} + {{ task.created_at }} + 热点 {{ task.hotspot_limit }} / 内容 {{ task.item_limit_per_hotspot }} / 评论 {{ task.comment_limit_per_item }} + {{ task.successful_items_count }} / {{ task.total_items_count }} + + {{ status_label }} + {% if task.error_stage or task.error_type %} +
{{ task.error_stage }} / {{ task.error_type }} + {% endif %} + + 查看 + +{% else %} + + 还没有任何任务，请在上方创建第一个任务 + +{% endfor %} diff --git a/app/templates/tasks/detail.html b/app/templates/tasks/detail.html new file mode 100644 index 0000000..32f2e9a --- /dev/null +++ b/app/templates/tasks/detail.html @@ -0,0 +1,47 @@ +{% extends "base.html" %} +{% block title %}任务 #{{ task.id }} - 热榜评论分析工具{% endblock %} +{% block breadcrumbs %} + +{% endblock %} +{% block content %} +
+

任务 #{{ task.id }}

+ +
+
+ {% set label, cls = status_badge_config(task.status) %} +

平台：{{ task.platform | platform_label }} {{ label }}

+

成功 {{ task.successful_items_count }} / 共 {{ task.total_items_count }} 条内容

+ {% if task.error_message %}
{{ task.error_stage }} / {{ task.error_type }}：{{ task.error_message }}
{% endif %} +
+{% if task.status == "running" and not hotspots %} +

正在抓取热点数据，请稍候...

+{% endif %} +
+{% for hotspot in hotspots %} +
+

+ +

+
+
+ 查看热点级汇总报告 +
    + {% for item in hotspot.content_items %} +
  • + {{ item.title or item.summary or item.source_item_id }} {{ item.status }} + 查看详情 +
    • + {% endfor %} +
+
+
+
+{% endfor %} +
+{% endblock %} diff --git a/app/templating.py b/app/templating.py new file mode 100644 index 0000000..64f711a --- /dev/null +++ b/app/templating.py @@ -0,0 +1,33 @@ +import json + +from fastapi.templating import Jinja2Templates + + +templates = Jinja2Templates(directory="app/templates") + + +def status_badge_config(status: str) -> tuple[str, str]: + config = { + "pending": ("等待中", "bg-secondary"), + "running": ("运行中", "bg-warning text-dark"), + "success": ("已完成", "bg-success"), + "failed": ("失败", "bg-danger"), + } + return config.get(status, ("未知", "bg-secondary")) + + +def platform_label(platform: str) -> str: + return {"xiaohongshu": "小红书", "douyin": "抖音"}.get(platform, platform) + + +def from_json_filter(value: str | None) -> list: + try: + parsed = json.loads(value) if value else [] + except (TypeError, json.JSONDecodeError): + return [] + return parsed if isinstance(parsed, list) else [] + + +templates.env.globals["status_badge_config"] = status_badge_config +templates.env.filters["platform_label"] = platform_label +templates.env.filters["from_json"] = from_json_filter diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..accce96 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,9 @@ +services: + app: + build: . + ports: + - "8000:8000" + env_file: + - .env + volumes: + - ./data:/app/data diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..606c455 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,38 @@ +[project] +name = "hot-comments-analysis-tool" +version = "0.1.0" +description = "FastAPI MVP for Xiaohongshu and Douyin hot topic comment analysis." +requires-python = ">=3.12" +dependencies = [ + "beautifulsoup4>=4.12.3", + "fastapi>=0.115.0", + "httpx>=0.27.0", + "jinja2>=3.1.4", + "pydantic>=2.8.0", + "pydantic-settings>=2.4.0", + "sqlalchemy>=2.0.32", + "uvicorn[standard]>=0.30.6", +] + +[dependency-groups] +dev = [ + "pytest>=8.3.2", + "pytest-cov>=5.0.0", + "pytest-mock>=3.14.0", + "respx>=0.21.1", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] +pythonpath = ["."] + +[tool.coverage.run] +branch = true +source = ["app"] + +[tool.coverage.report] +omit = [ + "app/templates/*", + "app/static/*", + "tests/*", +] diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..38bb211 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Test package.""" diff --git a/tests/fixtures/.gitkeep b/tests/fixtures/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/tests/fixtures/.gitkeep @@ -0,0 +1 @@ + diff --git a/tests/helpers.py b/tests/helpers.py new file mode 100644 index 0000000..727da53 --- /dev/null +++ b/tests/helpers.py @@ -0,0 +1,31 @@ +from collections.abc import Iterator +from contextlib import contextmanager + +from fastapi.testclient import TestClient +from sqlalchemy import create_engine +from sqlalchemy.orm import Session +from sqlalchemy.pool import StaticPool + +from app.db import Base, get_db_session +from app.main import app + + +@contextmanager +def make_test_client() -> Iterator[tuple[TestClient, object]]: + engine = create_engine( + "sqlite:///:memory:", + connect_args={"check_same_thread": False}, + poolclass=StaticPool, + ) + Base.metadata.create_all(engine) + + def override_db_session(): + with Session(engine) as session: + yield session + + app.dependency_overrides[get_db_session] = override_db_session + try: + yield TestClient(app), engine + finally: + app.dependency_overrides.clear() + engine.dispose() diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..c210fac --- /dev/null +++ b/tests/integration/__init__.py @@ -0,0 +1 @@ +"""Integration tests.""" diff --git a/tests/integration/test_failure_tolerance.py b/tests/integration/test_failure_tolerance.py new file mode 100644 index 0000000..146eaf5 --- /dev/null +++ b/tests/integration/test_failure_tolerance.py @@ -0,0 +1,51 @@ +from sqlalchemy.orm import Session + +from app.platforms.base import PlatformAPIError +from app.schemas import CreateTaskRequest +from app.services.task_service import create_task, run_task +from tests.helpers import make_test_client + + +class FailingHotspotPlatform: + def fetch_hotspots(self, *, limit): + raise PlatformAPIError("hotspot failed", error_type="api_error", status_code=500) + + +def test_hotspot_failure_marks_task_failed(monkeypatch): + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FailingHotspotPlatform()) + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + run_task(task_id, session_factory=lambda: session) + task = session.get(type(task), task_id) + + assert task.status == "failed" + assert task.error_stage == "crawl_hotspots" + assert task.error_type == "api_error" + + +def test_unexpected_task_exception_marks_task_failed(monkeypatch): + def raise_unexpected_error(_platform): + raise RuntimeError("boom") + + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", raise_unexpected_error) + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + run_task(task_id, session_factory=lambda: session) + task = session.get(type(task), task_id) + + assert task.status == "failed" + assert task.error_stage == "system" + assert task.error_type == "unexpected_error" + assert task.error_message == "boom" diff --git a/tests/integration/test_health.py b/tests/integration/test_health.py new file mode 100644 index 0000000..e87ea05 --- /dev/null +++ b/tests/integration/test_health.py @@ -0,0 +1,12 @@ +from fastapi.testclient import TestClient + +from app.main import app + + +def test_health_returns_ok(): + client = TestClient(app) + + response = client.get("/health") + + assert response.status_code == 200 + assert response.json() == {"status": "ok"} diff --git a/tests/integration/test_routes.py b/tests/integration/test_routes.py new file mode 100644 index 0000000..6883455 --- /dev/null +++ b/tests/integration/test_routes.py @@ -0,0 +1,146 @@ +from app.models import Comment, ContentItem, Hotspot, Report, Task +from tests.helpers import make_test_client + + +def test_index_page_renders_task_form_empty_state_and_default_scale(): + with make_test_client() as (client, _engine): + response = client.get("/") + + assert response.status_code == 200 + assert "热榜评论分析工具" in response.text + assert 'name="platform"' in response.text + assert 'name="hotspot_limit"' in response.text + assert 'name="item_limit_per_hotspot"' in response.text + assert 'name="comment_limit_per_item"' in response.text + assert "1250" in response.text + assert 'onclick="window.location.href=\'/\'"' in response.text + assert "还没有任何任务" in response.text + + +def test_index_page_lists_existing_tasks(): + with make_test_client() as (client, engine): + from sqlalchemy.orm import Session + + with Session(engine) as session: + session.add( + Task( + id="task-visible", + platform="douyin", + status="running", + hotspot_limit=3, + item_limit_per_hotspot=4, + comment_limit_per_item=50, + ) + ) + session.commit() + + response = client.get("/") + + assert response.status_code == 200 + assert "task-visible" in response.text + assert "抖音" in response.text + assert "运行中" in response.text + + +def seed_result_data(engine): + from sqlalchemy.orm import Session + + with Session(engine) as session: + task = Task(id="task-result", platform="douyin", status="success", total_items_count=1, successful_items_count=1) + session.add(task) + hotspot = Hotspot(id="hot-result", task_id=task.id, platform="douyin", title="热点标题", rank=1, raw_data="{}") + session.add(hotspot) + item = ContentItem( + id="item-result", + task_id=task.id, + hotspot_id=hotspot.id, + platform="douyin", + source_item_id="v1", + item_type="video", + title="视频标题", + status="success", + raw_data="{}", + ) + session.add(item) + session.add( + Comment( + id="comment-result", + task_id=task.id, + hotspot_id=hotspot.id, + content_item_id=item.id, + platform="douyin", + source_comment_id="c1", + content="评论内容", + sentiment="positive", + labels='["认可"]', + like_count=3, + raw_data="{}", + ) + ) + session.add( + Report( + task_id=task.id, + hotspot_id=hotspot.id, + report_type="hotspot", + title="热点标题", + metrics_json='{"sample_count":1,"sentiment":{"positive":{"count":1,"pct":100}},"top_labels":[{"name":"认可","count":1}]}', + typical_comments_json='{"positive":[{"content":"评论内容","like_count":3}]}', + summary="热点总结", + markdown_content="# 热点标题\n\n热点总结", + data="{}", + markdown="# 热点标题\n\n热点总结", + ) + ) + session.add( + Report( + task_id=task.id, + hotspot_id=hotspot.id, + content_item_id=item.id, + report_type="item", + title="视频标题", + metrics_json='{"sample_count":1,"sentiment":{"positive":{"count":1,"pct":100}},"top_labels":[{"name":"认可","count":1}]}', + typical_comments_json='{"positive":[{"content":"评论内容","like_count":3}]}', + summary="内容总结", + markdown_content="# 视频标题\n\n内容总结", + data="{}", + markdown="# 视频标题\n\n内容总结", + ) + ) + session.commit() + + +def test_result_pages_render_seeded_data(): + with make_test_client() as (client, engine): + seed_result_data(engine) + + task_response = client.get("/tasks/task-result") + hotspot_response = client.get("/hotspots/hot-result/report") + item_response = client.get("/items/item-result") + + assert task_response.status_code == 200 + assert "热点标题" in task_response.text + assert 'onclick="window.location.href=\'/\'"' in task_response.text + assert hotspot_response.status_code == 200 + assert "热点总结" in hotspot_response.text + assert item_response.status_code == 200 + assert "评论内容" in item_response.text + + +def test_export_routes_return_csv_and_markdown(): + with make_test_client() as (client, engine): + seed_result_data(engine) + + csv_response = client.get("/api/export/items/item-result/comments.csv") + hotspot_csv_response = client.get("/api/export/hotspots/hot-result/comments.csv") + hotspot_md = client.get("/api/export/hotspots/hot-result.md") + item_md = client.get("/api/export/items/item-result.md") + + assert csv_response.status_code == 200 + assert csv_response.content.startswith(b"\xef\xbb\xbf") + assert "评论内容".encode("utf-8") in csv_response.content + assert hotspot_csv_response.status_code == 200 + assert "评论内容".encode("utf-8") in hotspot_csv_response.content + assert hotspot_md.status_code == 200 + assert "热点总结" in hotspot_md.text + assert item_md.status_code == 200 + assert "内容总结" in item_md.text diff --git a/tests/integration/test_task_creation.py b/tests/integration/test_task_creation.py new file mode 100644 index 0000000..5fa71df --- /dev/null +++ b/tests/integration/test_task_creation.py @@ -0,0 +1,118 @@ +from fastapi.testclient import TestClient +from sqlalchemy import create_engine +from sqlalchemy.pool import StaticPool + +from app.db import Base, get_db_session +from app.main import app +from app.models import Task + + +def make_test_client(): + engine = create_engine( + "sqlite:///:memory:", + connect_args={"check_same_thread": False}, + poolclass=StaticPool, + ) + Base.metadata.create_all(engine) + + def override_db_session(): + from sqlalchemy.orm import Session + + with Session(engine) as session: + yield session + + app.dependency_overrides[get_db_session] = override_db_session + return TestClient(app), engine + + +def test_create_task_returns_task_id_and_running_status(): + client, engine = make_test_client() + try: + response = client.post( + "/api/tasks", + json={ + "platform": "xiaohongshu", + "hotspot_limit": 5, + "item_limit_per_hotspot": 5, + "comment_limit_per_item": 50, + }, + ) + + assert response.status_code == 201 + data = response.json() + assert data["task_id"] + assert data["status"] == "running" + finally: + engine.dispose() + app.dependency_overrides.clear() + + +def test_create_task_rejects_invalid_platform_and_limits(): + client, engine = make_test_client() + try: + response = client.post( + "/api/tasks", + json={ + "platform": "weibo", + "hotspot_limit": 11, + "item_limit_per_hotspot": 0, + "comment_limit_per_item": 101, + }, + ) + + assert response.status_code == 422 + finally: + engine.dispose() + app.dependency_overrides.clear() + + +def test_create_task_returns_400_when_running_task_exists(): + client, engine = make_test_client() + try: + from sqlalchemy.orm import Session + + with Session(engine) as session: + session.add(Task(platform="douyin", status="running")) + session.commit() + + response = client.post( + "/api/tasks", + json={ + "platform": "douyin", + "hotspot_limit": 5, + "item_limit_per_hotspot": 5, + "comment_limit_per_item": 50, + }, + ) + + assert response.status_code == 400 + assert response.json() == {"detail": "当前有正在运行的任务，请稍后再试"} + finally: + engine.dispose() + app.dependency_overrides.clear() + + +def test_task_list_and_detail_return_created_tasks(): + client, engine = make_test_client() + try: + created = client.post( + "/api/tasks", + json={ + "platform": "douyin", + "hotspot_limit": 3, + "item_limit_per_hotspot": 4, + "comment_limit_per_item": 30, + }, + ).json() + + list_response = client.get("/api/tasks") + detail_response = client.get(f"/api/tasks/{created['task_id']}") + + assert list_response.status_code == 200 + assert list_response.json()[0]["task_id"] == created["task_id"] + assert detail_response.status_code == 200 + assert detail_response.json()["platform"] == "douyin" + assert detail_response.json()["hotspot_limit"] == 3 + finally: + engine.dispose() + app.dependency_overrides.clear() diff --git a/tests/integration/test_task_flow_douyin.py b/tests/integration/test_task_flow_douyin.py new file mode 100644 index 0000000..cfe5634 --- /dev/null +++ b/tests/integration/test_task_flow_douyin.py @@ -0,0 +1,39 @@ +from sqlalchemy.orm import Session + +from app.models import Comment, Task +from app.platforms.base import CommentData, ContentItemData, HotspotData +from app.schemas import CreateTaskRequest +from app.services.task_service import create_task, run_task +from tests.helpers import make_test_client + + +class FakeDouyinPlatform: + def fetch_hotspots(self, *, limit): + return [HotspotData(source_hot_id="d1", title="抖音热点", rank=1, heat_value="200", raw_data={})] + + def search_items_by_hotspot(self, keyword, *, limit): + return [ContentItemData(source_item_id="v1", item_type="video", title="视频", raw_data={})] + + def fetch_comments(self, source_item_id, *, limit): + return [CommentData(source_comment_id="dc1", content="抖音评论", raw_data={})] + + +def test_douyin_task_flow_persists_comments(monkeypatch): + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeDouyinPlatform()) + + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + + with Session(engine) as session: + run_task(task_id, session_factory=lambda: session) + task = session.get(Task, task_id) + comment = session.query(Comment).filter_by(task_id=task_id).one() + + assert task.status == "success" + assert comment.content == "抖音评论" diff --git a/tests/integration/test_task_flow_xiaohongshu.py b/tests/integration/test_task_flow_xiaohongshu.py new file mode 100644 index 0000000..9686f74 --- /dev/null +++ b/tests/integration/test_task_flow_xiaohongshu.py @@ -0,0 +1,130 @@ +from sqlalchemy import select +from sqlalchemy.orm import Session + +from app.models import Comment, ContentItem, Hotspot, Report, Task +from app.schemas import CreateTaskRequest +from app.services.task_service import create_task, run_task +from tests.helpers import make_test_client + + +class FakeXhsPlatform: + def fetch_hotspots(self, *, limit): + from app.platforms.base import HotspotData + + return [HotspotData(source_hot_id="h1", title="热点一", rank=1, heat_value="100", raw_data={"id": "h1"})] + + def search_items_by_hotspot(self, keyword, *, limit): + from app.platforms.base import ContentItemData + + return [ + ContentItemData(source_item_id="n1", item_type="note", title=f"{keyword} 笔记", raw_data={"id": "n1"}) + ] + + def fetch_comments(self, source_item_id, *, limit): + from app.platforms.base import CommentData + + return [CommentData(source_comment_id="c1", content="评论一", like_count=5, raw_data={"id": "c1"})] + + +def test_xiaohongshu_task_flow_persists_hotspots_items_and_comments(monkeypatch): + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeXhsPlatform()) + monkeypatch.setattr( + "app.services.task_service.build_ai_requester", + lambda: ( + lambda prompt: ( + '[{"comment_id":"' + + ("c1" if "c1" in prompt else prompt.split('"comment_id": "')[1].split('"')[0]) + + '","sentiment":"positive","labels":["认可"],"reason":"喜欢"}]' + ) + ), + ) + + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="xiaohongshu", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + + with Session(engine) as session: + run_task(task_id, session_factory=lambda: session) + + persisted = session.get(Task, task_id) + assert persisted.status == "success" + assert persisted.processed_items_count == 1 + assert persisted.successful_items_count == 1 + assert persisted.analysis_status == "normal" + assert session.scalar(select(Hotspot).where(Hotspot.task_id == task_id)).title == "热点一" + assert session.scalar(select(ContentItem).where(ContentItem.task_id == task_id)).source_item_id == "n1" + comment = session.scalar(select(Comment).where(Comment.task_id == task_id)) + assert comment.content == "评论一" + assert comment.ai_analysis_status == "success" + assert comment.sentiment == "positive" + assert comment.labels == '["认可"]' + assert comment.reason == "喜欢" + assert session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "item")) is not None + assert session.scalar(select(Report).where(Report.task_id == task_id, Report.report_type == "hotspot")) is not None + + +def test_xiaohongshu_task_flow_marks_comments_failed_when_ai_parse_fails(monkeypatch): + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeXhsPlatform()) + monkeypatch.setattr("app.services.task_service.build_ai_requester", lambda: (lambda _prompt: "not-json")) + monkeypatch.setattr("app.services.ai_service.time.sleep", lambda _seconds: None) + + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="xiaohongshu", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + + with Session(engine) as session: + run_task(task_id, session_factory=lambda: session) + + persisted = session.get(Task, task_id) + comment = session.scalar(select(Comment).where(Comment.task_id == task_id)) + + assert persisted.status == "success" + assert persisted.analysis_status == "insufficient" + assert persisted.analysis_success_rate == 0.0 + assert comment.ai_analysis_status == "failed" + assert comment.sentiment == "unknown" + assert comment.labels == "[]" + assert comment.reason == "ai_parse_failed" + + +def test_xiaohongshu_task_flow_keeps_item_success_when_ai_request_raises(monkeypatch): + with make_test_client() as (_client, engine): + monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FakeXhsPlatform()) + monkeypatch.setattr("app.services.ai_service.time.sleep", lambda _seconds: None) + + def failing_requester(_prompt): + raise RuntimeError("ai unauthorized") + + monkeypatch.setattr("app.services.task_service.build_ai_requester", lambda: failing_requester) + + with Session(engine) as session: + task = create_task( + session, + CreateTaskRequest(platform="xiaohongshu", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10), + submit_background=False, + ) + task_id = task.id + + with Session(engine) as session: + run_task(task_id, session_factory=lambda: session) + + persisted = session.get(Task, task_id) + comment = session.scalar(select(Comment).where(Comment.task_id == task_id)) + + assert persisted.status == "success" + assert persisted.successful_items_count == 1 + assert persisted.failed_items_count == 0 + assert persisted.analysis_status == "insufficient" + assert persisted.analysis_success_rate == 0.0 + assert comment.ai_analysis_status == "failed" + assert comment.reason == "ai_parse_failed" diff --git a/tests/integration/test_task_recovery.py b/tests/integration/test_task_recovery.py new file mode 100644 index 0000000..1560ffe --- /dev/null +++ b/tests/integration/test_task_recovery.py @@ -0,0 +1,40 @@ +from fastapi.testclient import TestClient +from sqlalchemy import create_engine, select +from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.pool import StaticPool + +from app.db import Base +from app.main import app +from app.models import Task + + +def test_lifespan_marks_running_tasks_failed_after_restart(monkeypatch): + engine = create_engine( + "sqlite:///:memory:", + connect_args={"check_same_thread": False}, + poolclass=StaticPool, + ) + TestingSessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False) + Base.metadata.create_all(engine) + + with TestingSessionLocal() as session: + session.add(Task(platform="xiaohongshu", status="running")) + session.commit() + + monkeypatch.setattr("app.main.SessionLocal", TestingSessionLocal, raising=False) + monkeypatch.setattr("app.main.init_db", lambda: None) + + try: + with TestClient(app): + pass + + with Session(engine) as session: + task = session.scalar(select(Task)) + + assert task is not None + assert task.status == "failed" + assert task.error_stage == "system" + assert task.error_type == "unexpected_restart" + assert task.error_message == "系统重启，任务被中断" + finally: + engine.dispose() diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 0000000..e0310a0 --- /dev/null +++ b/tests/unit/__init__.py @@ -0,0 +1 @@ +"""Unit tests.""" diff --git a/tests/unit/test_ai_schema.py b/tests/unit/test_ai_schema.py new file mode 100644 index 0000000..dd9c621 --- /dev/null +++ b/tests/unit/test_ai_schema.py @@ -0,0 +1,119 @@ +import pytest +import httpx + +from app.services.ai_service import ( + AIAnalysisResult, + OpenAICompatibleAIClient, + analyze_comments_with_retry, + build_comment_prompt, + calculate_analysis_status, + parse_ai_comment_response, +) + + +def test_build_comment_prompt_contains_ids_and_truncates_content(): + prompt = build_comment_prompt([{"comment_id": "c1", "content": "你" * 200}]) + + assert "c1" in prompt + assert "请原样回填输入中的 comment_id" in prompt + assert "你" * 150 in prompt + assert "你" * 151 not in prompt + + +def test_parse_ai_comment_response_validates_array_sentiment_labels_and_ids(): + result = parse_ai_comment_response( + '[{"comment_id":"c1","sentiment":"positive","labels":["质量好"],"reason":"认可"}]', + expected_comment_ids={"c1"}, + ) + + assert result == [AIAnalysisResult(comment_id="c1", sentiment="positive", labels=["质量好"], reason="认可")] + + +@pytest.mark.parametrize( + "payload", + [ + "not-json", + '{"comment_id":"c1"}', + '[{"comment_id":"missing","sentiment":"positive","labels":[],"reason":""}]', + '[{"comment_id":"c1","sentiment":"happy","labels":[],"reason":""}]', + '[{"comment_id":"c1","sentiment":"positive","labels":["a","b","c","d"],"reason":""}]', + ], +) +def test_parse_ai_comment_response_rejects_invalid_payloads(payload): + with pytest.raises(ValueError): + parse_ai_comment_response(payload, expected_comment_ids={"c1"}) + + +def test_calculate_analysis_status_uses_eighty_percent_threshold(): + assert calculate_analysis_status(success_count=8, total_count=10) == (0.8, "normal") + assert calculate_analysis_status(success_count=7, total_count=10) == (0.7, "insufficient") + assert calculate_analysis_status(success_count=0, total_count=0) == (0.0, "insufficient") + + +def test_analyze_comments_with_retry_marks_batch_failed_after_three_parse_failures(monkeypatch): + sleeps = [] + monkeypatch.setattr("app.services.ai_service.time.sleep", sleeps.append) + + results = analyze_comments_with_retry( + [{"comment_id": "c1", "content": "内容"}], + requester=lambda _prompt: "not-json", + max_retries=3, + ) + + assert results[0].comment_id == "c1" + assert results[0].sentiment == "unknown" + assert results[0].ai_analysis_status == "failed" + assert results[0].reason == "ai_parse_failed" + assert sleeps == [1, 2] + + +def test_openai_compatible_client_posts_chat_completion_and_returns_message_content(): + captured = {} + + def handler(request: httpx.Request) -> httpx.Response: + captured["url"] = str(request.url) + captured["authorization"] = request.headers.get("authorization") + captured["body"] = request.read().decode("utf-8") + return httpx.Response( + 200, + json={"choices": [{"message": {"content": '[{"comment_id":"c1","sentiment":"positive","labels":["认可"],"reason":"喜欢"}]'}}]}, + ) + + http_client = httpx.Client(transport=httpx.MockTransport(handler)) + client = OpenAICompatibleAIClient( + base_url="https://ai.example.com", + api_key="test-ai-key", + model="test-model", + http_client=http_client, + ) + + result = client.request("prompt text") + + assert result == '[{"comment_id":"c1","sentiment":"positive","labels":["认可"],"reason":"喜欢"}]' + assert captured["url"] == "https://ai.example.com/v1/chat/completions" + assert captured["authorization"] == "Bearer test-ai-key" + assert '"model":"test-model"' in captured["body"] + assert "prompt text" in captured["body"] + + +def test_openai_compatible_client_accepts_base_url_that_already_includes_v1(): + captured = {} + + def handler(request: httpx.Request) -> httpx.Response: + captured["url"] = str(request.url) + return httpx.Response( + 200, + json={"choices": [{"message": {"content": "[]"}}]}, + ) + + http_client = httpx.Client(transport=httpx.MockTransport(handler)) + client = OpenAICompatibleAIClient( + base_url="https://ai.example.com/v1", + api_key="test-ai-key", + model="test-model", + http_client=http_client, + ) + + client.request("prompt text") + + assert captured["url"] == "https://ai.example.com/v1/chat/completions" diff --git a/tests/unit/test_comment_pagination.py b/tests/unit/test_comment_pagination.py new file mode 100644 index 0000000..d5132fd --- /dev/null +++ b/tests/unit/test_comment_pagination.py @@ -0,0 +1,51 @@ +import httpx +import pytest + +from app.platforms.base import PlatformAPIError, TikHubClient + + +class SequenceTransport: + def __init__(self, responses): + self.responses = list(responses) + self.requests = [] + + def __call__(self, request: httpx.Request) -> httpx.Response: + self.requests.append(request) + response = self.responses.pop(0) + response.request = request + return response + + +def test_tikhub_client_retries_429_with_exponential_backoff(monkeypatch): + sleeps = [] + monkeypatch.setattr("app.platforms.base.time.sleep", sleeps.append) + transport = SequenceTransport( + [ + httpx.Response(429, json={"message": "Too Many Requests"}), + httpx.Response(429, json={"message": "Too Many Requests"}), + httpx.Response(200, json={"ok": True}), + ] + ) + http_client = httpx.Client(transport=httpx.MockTransport(transport)) + client = TikHubClient(base_url="https://api.test", api_key="secret-token", http_client=http_client) + + result = client.get("/demo") + + assert result == {"ok": True} + assert sleeps == [1, 2] + assert len(transport.requests) == 3 + assert transport.requests[0].headers["Authorization"] == "Bearer secret-token" + + +def test_tikhub_client_raises_structured_error_after_retries(monkeypatch): + monkeypatch.setattr("app.platforms.base.time.sleep", lambda _seconds: None) + transport = SequenceTransport([httpx.Response(429, json={"message": "Too Many Requests"}) for _ in range(4)]) + http_client = httpx.Client(transport=httpx.MockTransport(transport)) + client = TikHubClient(base_url="https://api.test", api_key="secret-token", http_client=http_client) + + with pytest.raises(PlatformAPIError) as exc_info: + client.get("/demo") + + assert exc_info.value.error_type == "rate_limited" + assert exc_info.value.status_code == 429 + assert "secret-token" not in str(exc_info.value) diff --git a/tests/unit/test_config.py b/tests/unit/test_config.py new file mode 100644 index 0000000..2c7ec21 --- /dev/null +++ b/tests/unit/test_config.py @@ -0,0 +1,76 @@ +from app.config import Settings + + +def test_settings_use_t01_defaults(monkeypatch): + monkeypatch.delenv("APP_ENV", raising=False) + monkeypatch.delenv("DATABASE_URL", raising=False) + monkeypatch.delenv("TIKHUB_BASE_URL", raising=False) + monkeypatch.delenv("AI_PROVIDER", raising=False) + + settings = Settings(_env_file=None) + + assert settings.app_env == "development" + assert settings.database_url == "sqlite:///data/app.db" + assert settings.tikhub_base_url == "https://api.tikhub.io" + assert settings.ai_provider == "openai-compatible" + + +def test_settings_read_environment_overrides(monkeypatch): + monkeypatch.setenv("APP_ENV", "test") + monkeypatch.setenv("DATABASE_URL", "sqlite:///:memory:") + monkeypatch.setenv("TIKHUB_API_KEY", "test-token") + monkeypatch.setenv("AI_API_KEY", "test-ai-key") + + settings = Settings(_env_file=None) + + assert settings.app_env == "test" + assert settings.database_url == "sqlite:///:memory:" + assert settings.tikhub_api_key == "test-token" + assert settings.ai_api_key == "test-ai-key" + + +def test_settings_include_t02_defaults(monkeypatch): + monkeypatch.delenv("AI_BATCH_SIZE", raising=False) + monkeypatch.delenv("AI_CONCURRENCY", raising=False) + monkeypatch.delenv("AI_MAX_RETRIES", raising=False) + monkeypatch.delenv("AI_TIMEOUT_SECONDS", raising=False) + monkeypatch.delenv("HTTP_TIMEOUT_SECONDS", raising=False) + monkeypatch.delenv("HTTP_MAX_RETRIES", raising=False) + monkeypatch.delenv("CRAWL_PAGE_INTERVAL_SECONDS", raising=False) + + settings = Settings(_env_file=None) + + assert settings.ai_batch_size == 20 + assert settings.ai_concurrency == 2 + assert settings.ai_max_retries == 3 + assert settings.ai_timeout_seconds == 30 + assert settings.http_timeout_seconds == 20 + assert settings.http_max_retries == 3 + assert settings.crawl_page_interval_seconds == 1.5 + + +def test_settings_read_crawl_page_interval_from_environment(monkeypatch): + monkeypatch.setenv("CRAWL_PAGE_INTERVAL_SECONDS", "0.25") + + settings = Settings(_env_file=None) + + assert settings.crawl_page_interval_seconds == 0.25 + + +def test_ai_concurrency_has_hard_upper_bound(monkeypatch): + monkeypatch.setenv("AI_CONCURRENCY", "4") + + settings = Settings(_env_file=None) + + assert settings.ai_concurrency == 3 + + +def test_task_limit_ranges_are_available_on_settings(): + settings = Settings(_env_file=None) + + assert settings.hot_limit_min == 1 + assert settings.hot_limit_max == 10 + assert settings.item_limit_per_hot_min == 1 + assert settings.item_limit_per_hot_max == 10 + assert settings.comment_limit_per_item_min == 10 + assert settings.comment_limit_per_item_max == 100 diff --git a/tests/unit/test_deployment_config.py b/tests/unit/test_deployment_config.py new file mode 100644 index 0000000..eff71ce --- /dev/null +++ b/tests/unit/test_deployment_config.py @@ -0,0 +1,17 @@ +from pathlib import Path + + +ROOT = Path(__file__).resolve().parents[2] + + +def test_docker_compose_reads_real_env_file_not_example(): + compose_content = (ROOT / "docker-compose.yml").read_text(encoding="utf-8") + + assert "- .env\n" in compose_content + assert "- .env.example" not in compose_content + + +def test_real_env_file_is_gitignored(): + gitignore_lines = (ROOT / ".gitignore").read_text(encoding="utf-8").splitlines() + + assert ".env" in gitignore_lines diff --git a/tests/unit/test_douyin_mapping.py b/tests/unit/test_douyin_mapping.py new file mode 100644 index 0000000..893a776 --- /dev/null +++ b/tests/unit/test_douyin_mapping.py @@ -0,0 +1,120 @@ +from app.platforms.douyin import DouyinPlatform + + +def test_douyin_maps_hotspots(): + platform = DouyinPlatform(client=None) + payload = { + "data": { + "word_list": [ + {"query_id": "q1", "title": "热点", "rank": 2, "hot_score": "888"} + ] + } + } + + hotspots = platform.map_hotspots(payload, limit=5) + + assert hotspots[0].source_hot_id == "q1" + assert hotspots[0].title == "热点" + assert hotspots[0].rank == 2 + assert hotspots[0].heat_value == "888" + + +def test_douyin_maps_hotspots_from_real_item_list_shape(): + platform = DouyinPlatform(client=None) + payload = { + "data": { + "item_list": [ + {"query_id": "q-real", "sentence": "真实热点", "rank": 1, "hot_score": 999} + ] + } + } + + hotspots = platform.map_hotspots(payload, limit=5) + + assert hotspots[0].source_hot_id == "q-real" + assert hotspots[0].title == "真实热点" + assert hotspots[0].rank == 1 + assert hotspots[0].heat_value == "999" + + +def test_douyin_maps_videos(): + platform = DouyinPlatform(client=None) + payload = { + "data": [ + { + "aweme_info": { + "aweme_id": "aweme-1", + "desc": "视频描述", + "author": {"nickname": "作者"}, + "statistics": {"comment_count": 10}, + } + } + ] + } + + items = platform.map_items(payload, limit=5) + + assert items[0].source_item_id == "aweme-1" + assert items[0].title == "视频描述" + assert items[0].item_type == "video" + + +def test_douyin_maps_videos_from_real_business_data_shape(): + platform = DouyinPlatform(client=None) + payload = { + "data": { + "business_data": [ + { + "data": { + "aweme_info": { + "aweme_id": "aweme-real", + "desc": "真实视频描述", + "share_url": "https://example.com/video", + } + } + } + ] + } + } + + items = platform.map_items(payload, limit=5) + + assert items[0].source_item_id == "aweme-real" + assert items[0].title == "真实视频描述" + assert items[0].url == "https://example.com/video" + + +def test_douyin_maps_comment_id_and_missing_optional_fields(): + platform = DouyinPlatform(client=None) + payload = { + "comments": [ + {"comment_id": "preferred", "cid": "fallback", "text": "评论"}, + {"cid": "fallback-only", "text": "评论2", "digg_count": 9}, + ] + } + + comments = platform.map_comments(payload, limit=10) + + assert comments[0].source_comment_id == "preferred" + assert comments[0].content == "评论" + assert comments[0].like_count is None + assert comments[0].comment_time is None + assert comments[1].source_comment_id == "fallback-only" + assert comments[1].like_count == 9 + + +def test_douyin_maps_comments_when_user_is_none(): + platform = DouyinPlatform(client=None) + payload = {"data": {"comments": [{"cid": "c-none-user", "text": "评论", "user": None}]}} + + comments = platform.map_comments(payload, limit=10) + + assert comments[0].source_comment_id == "c-none-user" + assert comments[0].author is None + + +def test_douyin_maps_null_comments_as_empty_list(): + platform = DouyinPlatform(client=None) + payload = {"data": {"comments": None}} + + assert platform.map_comments(payload, limit=10) == [] diff --git a/tests/unit/test_export.py b/tests/unit/test_export.py new file mode 100644 index 0000000..cc64c70 --- /dev/null +++ b/tests/unit/test_export.py @@ -0,0 +1,19 @@ +from app.services.export_service import labels_to_text, safe_csv_field, safe_filename + + +def test_labels_to_text_joins_json_array_with_chinese_comma(): + assert labels_to_text('["认可", "质量好"]') == "认可，质量好" + assert labels_to_text("bad-json") == "" + + +def test_safe_csv_field_prevents_formula_injection_and_newlines(): + assert safe_csv_field("=1+1") == "'=1+1" + assert safe_csv_field("hello\nworld") == "hello world" + + +def test_safe_filename_replaces_illegal_chars_and_truncates_keyword(): + filename = safe_filename("douyin", "task", "a/b:c*d?eg|很长很长很长很长很长") + + assert "/" not in filename + assert "__" not in filename + assert filename.endswith(".csv") diff --git a/tests/unit/test_models.py b/tests/unit/test_models.py new file mode 100644 index 0000000..b20b005 --- /dev/null +++ b/tests/unit/test_models.py @@ -0,0 +1,88 @@ +import pytest +from sqlalchemy import create_engine +from sqlalchemy.exc import IntegrityError +from sqlalchemy.orm import Session + +from app.db import Base, create_sqlite_engine +from app.models import Comment, ContentItem, Hotspot, Report, Task, create_report_record + + +def test_all_t03_tables_can_be_created_in_memory_sqlite(): + engine = create_engine("sqlite:///:memory:", connect_args={"check_same_thread": False}) + try: + Base.metadata.create_all(engine) + + assert set(Base.metadata.tables) >= { + "tasks", + "hotspots", + "content_items", + "comments", + "reports", + } + finally: + engine.dispose() + + +def test_sqlite_engine_uses_required_connection_options(): + engine = create_sqlite_engine("sqlite:///data/app.db") + try: + assert engine.url.database == "data/app.db" + assert engine.dialect.connect_args["check_same_thread"] is False + assert engine.dialect.connect_args["timeout"] == 10 + + finally: + engine.dispose() + + +def test_task_status_rejects_partial_status_values(): + engine = create_engine("sqlite:///:memory:", connect_args={"check_same_thread": False}) + try: + Base.metadata.create_all(engine) + + with Session(engine) as session: + session.add(Task(platform="douyin", status="partial_success")) + + with pytest.raises(IntegrityError): + session.commit() + finally: + engine.dispose() + + +def test_analysis_status_insufficient_does_not_change_task_status(): + task = Task( + platform="xiaohongshu", + status="success", + analysis_status="insufficient", + analysis_success_rate=0.5, + ) + + assert task.status == "success" + assert task.analysis_status == "insufficient" + + +def test_models_define_relationships_and_indexes(): + assert any(index.name == "ix_comments_task_content_item" for index in Comment.__table__.indexes) + assert any(index.name == "ix_content_items_task_hotspot" for index in ContentItem.__table__.indexes) + assert any(index.name == "ix_reports_task_report_type" for index in Report.__table__.indexes) + + assert Hotspot.task.property.mapper.class_ is Task + assert ContentItem.hotspot.property.mapper.class_ is Hotspot + assert Comment.content_item.property.mapper.class_ is ContentItem + assert Report.task.property.mapper.class_ is Task + + +def test_report_record_application_constraint_requires_matching_owner_id(): + with pytest.raises(ValueError, match="hotspot_id"): + create_report_record(task_id="task-1", report_type="hotspot", title="热点报告") + + with pytest.raises(ValueError, match="content_item_id"): + create_report_record(task_id="task-1", report_type="content_item", title="内容报告") + + report = create_report_record( + task_id="task-1", + report_type="hotspot", + title="热点报告", + hotspot_id="hot-1", + ) + + assert report.hotspot_id == "hot-1" diff --git a/tests/unit/test_report_stats.py b/tests/unit/test_report_stats.py new file mode 100644 index 0000000..4bdb878 --- /dev/null +++ b/tests/unit/test_report_stats.py @@ -0,0 +1,76 @@ +from datetime import UTC, datetime + +from sqlalchemy import create_engine +from sqlalchemy.orm import Session + +from app.db import Base +from app.models import Comment, ContentItem, Hotspot, Task +from app.services.report_service import build_comment_metrics, generate_item_report + + +def test_build_comment_metrics_counts_sentiments_and_top_labels(): + comments = [ + Comment(content="好", sentiment="positive", labels='["质量好", "价格好"]', like_count=5), + Comment(content="差", sentiment="negative", labels='["质量好"]', like_count=2), + Comment(content="一般", sentiment="neutral", labels="[]", like_count=1), + Comment(content="未知", sentiment="unknown", labels="[]", like_count=0), + ] + + metrics = build_comment_metrics(comments) + + assert metrics["sample_count"] == 4 + assert metrics["sentiment"]["positive"]["count"] == 1 + assert metrics["sentiment"]["negative"]["count"] == 1 + assert metrics["sentiment"]["neutral"]["count"] == 1 + assert metrics["sentiment"]["unknown"]["count"] == 1 + assert metrics["top_labels"][0] == {"name": "质量好", "count": 2} + + +def test_generate_item_report_persists_markdown_and_default_summary(): + engine = create_engine("sqlite:///:memory:", connect_args={"check_same_thread": False}) + Base.metadata.create_all(engine) + try: + with Session(engine) as session: + task = Task(platform="douyin", status="success") + session.add(task) + session.flush() + hotspot = Hotspot(task_id=task.id, platform="douyin", title="热点", raw_data="{}") + session.add(hotspot) + session.flush() + item = ContentItem( + task_id=task.id, + hotspot_id=hotspot.id, + platform="douyin", + source_item_id="v1", + item_type="video", + title="视频", + status="success", + raw_data="{}", + ) + session.add(item) + session.flush() + session.add( + Comment( + task_id=task.id, + hotspot_id=hotspot.id, + content_item_id=item.id, + platform="douyin", + source_comment_id="c1", + content="好评", + sentiment="positive", + labels='["认可"]', + like_count=10, + comment_time=datetime(2026, 1, 1, tzinfo=UTC), + raw_data="{}", + ) + ) + session.commit() + + report = generate_item_report(session, item.id, summary_provider=lambda *_args, **_kwargs: (_ for _ in ()).throw(RuntimeError("ai failed"))) + + assert report.report_type == "item" + assert report.content_item_id == item.id + assert "总结生成失败，请查看上方统计数据。" in report.markdown_content + assert "样本评论数量" in report.markdown_content + finally: + engine.dispose() diff --git a/tests/unit/test_task_executor.py b/tests/unit/test_task_executor.py new file mode 100644 index 0000000..28f0b94 --- /dev/null +++ b/tests/unit/test_task_executor.py @@ -0,0 +1,12 @@ +from concurrent.futures import ThreadPoolExecutor + +from app.services import task_service + + +def test_task_executor_is_single_worker_thread_pool(): + assert isinstance(task_service.task_executor, ThreadPoolExecutor) + assert task_service.task_executor._max_workers == 1 + + +def test_run_task_entrypoint_is_synchronous_function(): + assert task_service.inspect.iscoroutinefunction(task_service.run_task) is False diff --git a/tests/unit/test_template_filters.py b/tests/unit/test_template_filters.py new file mode 100644 index 0000000..6d52973 --- /dev/null +++ b/tests/unit/test_template_filters.py @@ -0,0 +1,13 @@ +from app.templating import from_json_filter, status_badge_config + + +def test_status_badge_config_centralizes_task_status_copy(): + assert status_badge_config("running") == ("运行中", "bg-warning text-dark") + assert status_badge_config("success") == ("已完成", "bg-success") + assert status_badge_config("failed") == ("失败", "bg-danger") + assert status_badge_config("unknown") == ("未知", "bg-secondary") + + +def test_from_json_filter_returns_empty_list_for_invalid_json(): + assert from_json_filter('["认可"]') == ["认可"] + assert from_json_filter("bad-json") == [] diff --git a/tests/unit/test_xiaohongshu_mapping.py b/tests/unit/test_xiaohongshu_mapping.py new file mode 100644 index 0000000..8bc270b --- /dev/null +++ b/tests/unit/test_xiaohongshu_mapping.py @@ -0,0 +1,65 @@ +from app.platforms.xiaohongshu import XiaohongshuPlatform + + +def test_xiaohongshu_maps_hotspots_from_items_not_outer_title(): + platform = XiaohongshuPlatform(client=None) + payload = { + "data": { + "data": { + "title": "搜索发现", + "items": [ + {"id": "hot-1", "title": "真实热点", "score": "999", "rank_change": 1} + ], + } + } + } + + hotspots = platform.map_hotspots(payload, limit=5) + + assert hotspots[0].source_hot_id == "hot-1" + assert hotspots[0].title == "真实热点" + assert hotspots[0].heat_value == "999" + + +def test_xiaohongshu_prefers_notes_with_comments_and_falls_back_to_zero_comment_notes(): + platform = XiaohongshuPlatform(client=None) + payload = { + "data": { + "data": { + "items": [ + {"note": {"id": "n0", "title": "无评论", "desc": "", "comments_count": 0}}, + {"note": {"id": "n1", "title": "有评论1", "desc": "d1", "comments_count": 3}}, + {"note": {"id": "n2", "title": "有评论2", "desc": "d2", "comments_count": 1}}, + ] + } + } + } + + items = platform.map_items(payload, limit=3) + + assert [item.source_item_id for item in items] == ["n1", "n2", "n0"] + assert all(item.item_type == "note" for item in items) + + +def test_xiaohongshu_maps_comment_id_content_and_missing_optional_fields(): + platform = XiaohongshuPlatform(client=None) + payload = { + "data": { + "data": { + "comments": [ + {"comment_id": "preferred", "id": "fallback", "content": "正文"}, + {"id": "fallback-only", "text": "文本字段", "like_count": 7}, + ] + } + } + } + + comments = platform.map_comments(payload, limit=10) + + assert comments[0].source_comment_id == "preferred" + assert comments[0].content == "正文" + assert comments[0].like_count is None + assert comments[0].comment_time is None + assert comments[1].source_comment_id == "fallback-only" + assert comments[1].content == "文本字段" + assert comments[1].like_count == 7 diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..ab48af1 --- /dev/null +++ b/uv.lock @@ -0,0 +1,937 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" + +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = 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