Action Item Extractor
行动项提取器完整教程

from ollama import chat
from app.config import settings

def extract_action_items_llm(text: str) -> list[str]:
    """
    Extract action items from text using LLM.

    Args:
        text: Input text to extract from

    Returns:
        List of extracted action items
    """
    # Input validation
    if not text or len(text) > settings.max_text_length:
        raise ValueError(f"Text must be 1-{settings.max_text_length} characters")

    # Build prompt
    prompt = f"""Extract action items from the following text.

An action item is a task that needs to be done. Look for:
- Bullet points (-, *, •, or numbered lists)
- Keywords (todo:, action:, next:)
- Imperative sentences starting with verbs like: fix, implement, create, update
- Checkbox markers ([ ], [todo])

Text:
{text}

Return a JSON object with a single key "items" containing an array of action item strings.
If no action items are found, return {{"items": []}}."""

    # Call LLM with JSON format
    response = chat(
        model=settings.ollama_model,
        messages=[{"role": "user", "content": prompt}],
        format="json",  # Enable structured output
        options={"temperature": settings.extraction_temperature}
    )

    # Parse response
    result = json.loads(response["message"]["content"])

    # Handle different response formats
    if isinstance(result, list):
        return result
    elif "items" in result:
        return result["items"]
    elif "actionItems" in result:
        return [item["description"] for item in result["actionItems"]]
    else:
        return []

def test_extract_bullets():
    """Test extraction from bullet points."""
    text = """
    - Fix the login bug
    * Update the documentation
    • Review PR #123
    """
    items = extract_action_items(text)
    assert len(items) == 3
    assert "fix the login bug" in items[0].lower()

def test_extract_empty():
    """Test extraction from empty text."""
    items = extract_action_items("")
    assert len(items) == 0

# Run all tests
cd week2
pytest tests/ -v

# Run with coverage
pytest tests/ --cov=app --cov-report=html

# Result: ======================== 11 passed in 14.30s =========================

from pydantic import BaseModel, Field, validator

class NoteCreate(BaseModel):
    """Request model for creating a note."""
    title: str = Field(..., min_length=1, max_length=200)
    content: str = Field(..., min_length=1, max_length=10000)

class NoteResponse(BaseModel):
    """Response model for a note."""
    id: int
    title: str
    content: str
    created_at: datetime
    updated_at: datetime

    class Config:
        from_attributes = True  # Pydantic v2

from pydantic_settings import BaseSettings, SettingsConfigDict

class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=".env",
        case_sensitive=False
    )

    app_name: str = "Action Item Extractor"
    ollama_model: str = "llama3.1:8b"
    max_text_length: int = 10000
    extraction_temperature: float = 0.3

# Usage
from app.config import settings
model = settings.ollama_model

<!-- Extract with Rules -->
<button onclick="extractWithRules()">
    Extract (Rules)
</button>

<!-- Extract with LLM -->
<button onclick="extractWithLLM()">
    Extract LLM
</button>

<!-- List Notes -->
<button onclick="listNotes()">
    List Notes
</button>