repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/scenarios/ecommerce.py | .py | """Case study: E-commerce orders.
Architectural pattern demonstrated: **compound state machine + reactions**.
An order moves through cart -> placed -> paid -> shipped -> delivered, with
refund inverting the state from delivered back to refunded. Each transition
has invariants (placed orders cannot be modified; only pa... | 153 | 6,758 |
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/scenarios/healthcare.py | .py | """Case study: Healthcare records.
Architectural pattern demonstrated: **field-level granular access + audit reactions**.
Different roles (doctor, nurse, billing, patient) see different subsets of a
patient_record's fields. The schema declares per-field visibility rules; the
handler does not implement view-projection ... | 148 | 7,031 |
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/scenarios/project_mgmt.py | .py | """Scenario B: Multi-tenant Project Management.
Objects: organizations, projects, tasks, comments, attachments
Constraints:
- Tenant isolation: organizations cannot see each other's data
- Hierarchical permissions: project admins manage tasks within their project
- Cross-object validation: task assignee must be ... | 244 | 11,176 |
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/scenarios/hiring.py | .py | """Scenario A: Hiring Pipeline.
Objects: organizations, positions, candidates, interviews, evaluations, audit_logs
Constraints:
- State machine on candidate status: applied -> screened -> interviewed -> offered -> hired/rejected
- Referential integrity between candidates and positions
- Cross-object validation: ... | 248 | 11,660 |
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/core/models.py | .py | """Core data models for permission-embedded data objects."""
from __future__ import annotations
import uuid
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Optional
class Operation(Enum):
ACCEPT = "ACCEPT"
DENY = "DENY"
PENDING = "PENDING"
class Privil... | 132 | 4,115 |
ai-agent-book | chapter5/permission-embedded-data-objects/pedo/core/store.py | .py | """Object store implementing the three-tier operation pipeline.
This is the core of the permission-embedded data objects prototype.
It sits as middleware on top of PostgreSQL, intercepting every operation
and running the full pipeline: permission checks, validators, object
store mechanics, and reactions.
"""
from __f... | 720 | 31,212 |
ai-agent-book | chapter5/permission-embedded-data-objects/tests/test_core.py | .py | """Tests for the core object store."""
import pytest
from pedo.core.models import (
AccessContext, DataObject, ObjectType, Operation,
PermissionRule, PrivilegeType, Relationship, RelationshipAction,
ReactionDeclaration,
)
from pedo.core.store import ObjectStore, PermissionDeniedError, ValidationError, Refe... | 146 | 4,832 |
ai-agent-book | chapter5/permission-embedded-data-objects/tests/test_scenarios.py | .py | """Tests for both application scenarios."""
import pytest
import time
from pedo.core.models import AccessContext, DataObject, PermissionRule, Operation, PrivilegeType
from pedo.core.store import ObjectStore, PermissionDeniedError, ValidationError, ReferentialIntegrityError
from pedo.scenarios.hiring import register_hi... | 330 | 11,572 |
ai-agent-book | chapter5/coding-agent/quickstart.py | .py | #!/usr/bin/env python3
"""
Quickstart script for the coding agent
"""
import os
from agent import CodingAgent
from config import Config
def main():
"""Run a simple coding agent interaction"""
# Validate configuration
try:
Config.validate()
except ValueError as e:
print(f"Configur... | 94 | 2,797 |
ai-agent-book | chapter5/coding-agent/system_state.py | .py | """
System state tracking for the coding agent
"""
import os
import platform
from dataclasses import dataclass, field
from typing import Dict, Any, List
from datetime import datetime
@dataclass
class SystemState:
"""System state tracking for system hints"""
current_directory: str = field(default_factory=lamb... | 54 | 2,276 |
ai-agent-book | chapter5/coding-agent/main.py | .py | #!/usr/bin/env python3
"""
Interactive CLI for the Coding Agent
Provides a command-line interface for chatting with the agent
"""
import os
import sys
from pathlib import Path
from agent import CodingAgent
from config import Config
class Colors:
"""ANSI color codes for terminal output"""
RESET = '\033[0m'
... | 503 | 19,653 |
ai-agent-book | chapter5/coding-agent/sandbox_evaluator.py | .py | """
Sandbox safety evaluator for agent-generated code.
Chapter 5 discusses the tension between giving a coding agent the power to
execute code and keeping that execution safe. Experiment 5-12 discussion
question #7 names the "deadly triad": private data access, untrusted content
exposure, and external communication, c... | 330 | 13,128 |
ai-agent-book | chapter5/coding-agent/example_complex_task.py | .py | #!/usr/bin/env python3
"""
Example of a complex coding task with the agent
"""
from agent import CodingAgent
from config import Config
def run_complex_task():
"""Run a complex multi-step task"""
Config.validate()
provider = Config.get_provider()
api_key = Config.get_api_key()
base_url =... | 112 | 3,652 |
ai-agent-book | chapter5/coding-agent/example_with_system_hints.py | .py | #!/usr/bin/env python3
"""
Example demonstrating system hints features
"""
from agent import CodingAgent
from config import Config
def demo_system_hints():
"""Demonstrate system hint features like timestamps, tool counting, and TODO tracking"""
Config.validate()
provider = Config.get_provider()... | 135 | 5,034 |
ai-agent-book | chapter5/coding-agent/config.py | .py | """
Configuration for the coding agent
"""
import os
from pathlib import Path
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
class Config:
"""Configuration class for the coding agent"""
# API Configuration
ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
OPENAI_API_... | 175 | 7,205 |
ai-agent-book | chapter5/coding-agent/tool_registry.py | .py | """
Tool registry - Maps tool names to implementations
"""
from typing import Dict, Type
from tools import (
BaseTool, BashTool, BashOutputTool, KillBashTool,
ReadTool, WriteTool, EditTool, MultiEditTool,
GrepTool, GlobTool, LSTool,
TodoWriteTool, ExitPlanModeTool, NotebookEditTool,
WebFetchTool, W... | 49 | 1,462 |
ai-agent-book | chapter5/coding-agent/agent_new.py | .py | """
Comprehensive Coding Agent - Modular implementation with pure Python tools
All tools implemented without command-line dependencies
"""
import os
import json
from typing import List, Dict, Any, Optional, Iterator
from pathlib import Path
from datetime import datetime
import anthropic
try:
from dotenv import lo... | 302 | 11,888 |
ai-agent-book | chapter5/coding-agent/agent.py | .py | """
Comprehensive Coding Agent - Modular implementation with pure Python tools
All tools implemented without command-line dependencies
"""
import os
import json
from typing import List, Dict, Any, Optional, Iterator
from pathlib import Path
from datetime import datetime
import anthropic
import openai
try:
from do... | 523 | 20,213 |
ai-agent-book | chapter5/coding-agent/hello_world.py | .py | #!/usr/bin/env python3
from typing import Any
def greet(name: str) -> str:
"""Return a friendly greeting for the given name."""
return f"Hello, {name}!"
def main() -> None:
# Requirement 1: Print "Hello, World!"
print("Hello, World!")
# Requirement 3: Demonstrate the function
print(greet("A... | 20 | 368 |
ai-agent-book | chapter5/coding-agent/tools/write_tool.py | .py | """
Write tool - File writing with automatic lint checking
"""
import subprocess
from pathlib import Path
from typing import Dict, Any, Optional
from .base import BaseTool
class WriteTool(BaseTool):
"""Writes files to the local filesystem"""
@property
def name(self) -> str:
return "Write"
... | 112 | 3,820 |
ai-agent-book | chapter5/coding-agent/tools/exit_plan_mode_tool.py | .py | """
ExitPlanMode tool - Exit plan mode after presenting plan
"""
from typing import Dict, Any
from .base import BaseTool
class ExitPlanModeTool(BaseTool):
"""Use this tool when you are in plan mode and ready to code"""
@property
def name(self) -> str:
return "ExitPlanMode"
def _exec... | 32 | 871 |
ai-agent-book | chapter5/coding-agent/tools/task_tool.py | .py | """
Task tool - Launch sub-agents for complex tasks
"""
from typing import Dict, Any
from .base import BaseTool
class TaskTool(BaseTool):
"""Launch a new agent to handle complex, multi-step tasks autonomously"""
@property
def name(self) -> str:
return "Task"
def _execute_impl(self, ... | 38 | 1,195 |
ai-agent-book | chapter5/coding-agent/tools/bash_tool.py | .py | """
Bash tool - Command execution in persistent shell sessions
"""
import time
import hashlib
from typing import Dict, Any
from .base import BaseTool
class BashTool(BaseTool):
"""Executes bash commands in persistent shell sessions"""
@property
def name(self) -> str:
return "Bash"
de... | 76 | 2,821 |
ai-agent-book | chapter5/coding-agent/tools/__init__.py | .py | """
Tools module - All tool implementations
"""
from .base import BaseTool, ToolResult
from .bash_tool import BashTool
from .bash_output_tool import BashOutputTool
from .kill_bash_tool import KillBashTool
from .read_tool import ReadTool
from .write_tool import WriteTool
from .edit_tool import EditTool
from .multi_edit... | 47 | 1,107 |
ai-agent-book | chapter5/coding-agent/tools/notebook_edit_tool.py | .py | """
NotebookEdit tool - Edit Jupyter notebook cells
"""
import json
from pathlib import Path
from typing import Dict, Any
from .base import BaseTool
class NotebookEditTool(BaseTool):
"""Completely replaces the contents of a specific cell in a Jupyter notebook"""
@property
def name(self) -> str:
... | 125 | 4,753 |
ai-agent-book | chapter5/coding-agent/tools/edit_tool.py | .py | """
Edit tool - File editing with search and replace
"""
import subprocess
from pathlib import Path
from typing import Dict, Any, Optional
from .base import BaseTool
class EditTool(BaseTool):
"""Performs exact string replacements in files"""
@property
def name(self) -> str:
return "Edit"
... | 139 | 4,890 |
ai-agent-book | chapter5/coding-agent/tools/glob_tool.py | .py | """
Glob tool - Pure Python file pattern matching
"""
import os
from pathlib import Path
from typing import Dict, Any, List
from .base import BaseTool
class GlobTool(BaseTool):
"""Fast file pattern matching tool"""
@property
def name(self) -> str:
return "Glob"
def _execute_impl(sel... | 66 | 1,970 |
ai-agent-book | chapter5/coding-agent/tools/shell_session.py | .py | """
Cross-platform shell session management for persistent command execution.
"""
import base64
import os
import queue
import re
import signal
import shlex
import shutil
import subprocess
import tempfile
import threading
import time
import uuid
from dataclasses import dataclass, field
from typing import Dict, List, Op... | 445 | 16,702 |
ai-agent-book | chapter5/coding-agent/tools/web_fetch_tool.py | .py | """
WebFetch tool - Fetch and analyze web content
"""
from typing import Dict, Any
from .base import BaseTool
class WebFetchTool(BaseTool):
"""Fetches content from a specified URL and processes it"""
@property
def name(self) -> str:
return "WebFetch"
def _execute_impl(self, params: ... | 38 | 1,221 |
ai-agent-book | chapter5/coding-agent/tools/read_tool.py | .py | """
Read tool - File reading with support for text, images, PDFs, and notebooks
"""
import os
from pathlib import Path
from typing import Dict, Any, Optional
from .base import BaseTool
class ReadTool(BaseTool):
"""Reads files from the local filesystem"""
@property
def name(self) -> str:
retu... | 198 | 7,704 |
ai-agent-book | chapter5/coding-agent/tools/todo_write_tool.py | .py | """
TodoWrite tool - Task list management
"""
from typing import Dict, Any
from .base import BaseTool
class TodoWriteTool(BaseTool):
"""Creates and manages structured task lists"""
@property
def name(self) -> str:
return "TodoWrite"
def _execute_impl(self, params: Dict[str, Any]) ->... | 46 | 1,495 |
ai-agent-book | chapter5/coding-agent/tools/web_search_tool.py | .py | """
WebSearch tool - Search the web
"""
from typing import Dict, Any
from .base import BaseTool
class WebSearchTool(BaseTool):
"""Allows Claude to search the web and use the results"""
@property
def name(self) -> str:
return "WebSearch"
def _execute_impl(self, params: Dict[str, Any]... | 35 | 1,106 |
ai-agent-book | chapter5/coding-agent/tools/ls_tool.py | .py | """
LS tool - Directory listing
"""
import os
from pathlib import Path
import fnmatch
from typing import Dict, Any, List
from .base import BaseTool
class LSTool(BaseTool):
"""Lists files and directories"""
@property
def name(self) -> str:
return "LS"
def _execute_impl(self, params: ... | 77 | 2,286 |
ai-agent-book | chapter5/coding-agent/tools/multi_edit_tool.py | .py | """
MultiEdit tool - Multiple edits to a single file in one operation
"""
import subprocess
from pathlib import Path
from typing import Dict, Any, List, Optional
from .base import BaseTool
class MultiEditTool(BaseTool):
"""Makes multiple edits to a single file in one operation"""
@property
def name(... | 138 | 5,157 |
ai-agent-book | chapter5/coding-agent/tools/base.py | .py | """
Base classes for tool implementation
"""
from typing import Dict, Any, Optional
from abc import ABC, abstractmethod
from dataclasses import dataclass
from datetime import datetime
@dataclass
class ToolResult:
"""Result from a tool execution"""
success: bool
data: Dict[str, Any]
error: Optional[st... | 99 | 2,648 |
ai-agent-book | chapter5/coding-agent/tools/grep_tool.py | .py | """
Grep tool - Pure Python implementation without rg/grep dependencies
Implements full regex search across files with all features from tools.json
"""
import re
import os
from pathlib import Path
from typing import Dict, Any, List, Tuple, Optional
import fnmatch
from .base import BaseTool
class GrepTool(BaseTool):
... | 354 | 12,909 |
ai-agent-book | chapter5/coding-agent/tools/bash_output_tool.py | .py | """
BashOutput tool - Retrieve output from background bash jobs
"""
import os
import re
from typing import Dict, Any
from .base import BaseTool
from .shell_session import get_background_log_path
class BashOutputTool(BaseTool):
"""Retrieves output from running or completed background bash shells"""
@prop... | 65 | 2,372 |
ai-agent-book | chapter5/coding-agent/tools/kill_bash_tool.py | .py | """
KillBash tool - Terminate shell sessions
"""
from typing import Dict, Any
from .base import BaseTool
class KillBashTool(BaseTool):
"""Kills a running background bash shell by its ID"""
@property
def name(self) -> str:
return "KillBash"
def _execute_impl(self, params: Dict[str, A... | 60 | 1,971 |
ai-agent-book | chapter5/coding-agent/tests/test_multi_edit_tool.py | .py | """
Test cases for MultiEdit tool
Tests all features from tools.json
"""
import pytest
from pathlib import Path
from tools.multi_edit_tool import MultiEditTool
class TestMultiEditTool:
"""Test MultiEdit tool functionality"""
def test_multiple_edits(self, system_state, temp_dir):
"""Test multiple... | 244 | 8,305 |
ai-agent-book | chapter5/coding-agent/tests/test_notebook_edit_tool.py | .py | """
Test cases for NotebookEdit tool
Tests all features from tools.json
"""
import pytest
import json
from pathlib import Path
from tools.notebook_edit_tool import NotebookEditTool
@pytest.fixture
def sample_notebook(temp_dir):
"""Create a sample Jupyter notebook"""
notebook_path = temp_dir / "test.ipynb"
... | 243 | 8,118 |
ai-agent-book | chapter5/coding-agent/tests/test_multi_edit_empty_old_on_existing.py | .py | """Empty old_string on an existing file must not wipe contents (match Edit)."""
from tools.edit_tool import EditTool
from tools.multi_edit_tool import MultiEditTool
def test_empty_old_string_on_existing_file_rejected(system_state, temp_dir):
path = temp_dir / "keep.txt"
path.write_text("hello world", encodin... | 64 | 2,237 |
ai-agent-book | chapter5/coding-agent/tests/test_read_tool.py | .py | """
Test cases for Read tool
Tests all features from tools.json including images, PDFs, notebooks
"""
import pytest
import json
from pathlib import Path
from tools.read_tool import ReadTool
class TestReadTool:
"""Test Read tool functionality"""
def test_basic_read(self, system_state, sample_files):
... | 208 | 6,872 |
ai-agent-book | chapter5/coding-agent/tests/test_write_tool.py | .py | """
Test cases for Write tool
Tests all features from tools.json
"""
import pytest
from pathlib import Path
from tools.write_tool import WriteTool
class TestWriteTool:
"""Test Write tool functionality"""
def test_basic_write(self, system_state, temp_dir):
"""Test basic file writing"""
to... | 149 | 4,955 |
ai-agent-book | chapter5/coding-agent/tests/test_read_limit_zero.py | .py | """limit=0 on a nonempty file must not claim the file is empty."""
def test_limit_zero_on_nonempty_file(system_state, temp_dir):
from tools.read_tool import ReadTool
path = temp_dir / "lines.txt"
path.write_text("a\nb\nc\n", encoding="utf-8")
result = ReadTool(system_state).execute(
{"file_pa... | 39 | 1,296 |
ai-agent-book | chapter5/coding-agent/tests/test_read_negative_limit.py | .py | """Regression: negative Read.limit must not silently drop a file suffix."""
from pathlib import Path
from tools.read_tool import ReadTool
from system_state import SystemState
def test_negative_limit_reads_to_eof(tmp_path: Path):
path = tmp_path / "f.txt"
path.write_text("\n".join(f"L{i}" for i in range(1, 11... | 14 | 484 |
ai-agent-book | chapter5/coding-agent/tests/test_integration.py | .py | """
Integration tests for the complete agent system
Tests system hints, tool chaining, and end-to-end workflows
"""
import pytest
from system_state import SystemState
from tools.grep_tool import GrepTool
from tools.write_tool import WriteTool
from tools.todo_write_tool import TodoWriteTool
class TestSystemHints:
... | 165 | 5,598 |
ai-agent-book | chapter5/coding-agent/tests/test_kill_bash_tool.py | .py | """
Test cases for KillBash tool
Tests all features from tools.json
"""
import pytest
from tools.kill_bash_tool import KillBashTool
from tools.bash_tool import BashTool
class TestKillBashTool:
"""Test KillBash tool functionality"""
def test_kill_shell_session(self, system_state):
"""Test killing... | 73 | 2,295 |
ai-agent-book | chapter5/coding-agent/tests/test_exit_plan_mode_tool.py | .py | """
Test cases for ExitPlanMode tool
Tests all features from tools.json
"""
import pytest
from tools.exit_plan_mode_tool import ExitPlanModeTool
class TestExitPlanModeTool:
"""Test ExitPlanMode tool functionality"""
def test_basic_plan_submission(self, system_state):
"""Test submitting a plan"""... | 69 | 1,558 |
ai-agent-book | chapter5/coding-agent/tests/__init__.py | .py | """
Test suite for the Coding Agent
"""
| 5 | 41 |
ai-agent-book | chapter5/coding-agent/tests/test_bash_tool.py | .py | """
Test cases for Bash tool
Tests all features from tools.json
"""
import pytest
import time
from pathlib import Path
from tools.bash_tool import BashTool
class TestBashTool:
"""Test Bash tool functionality"""
def test_basic_command(self, system_state):
"""Test basic command execution"""
... | 231 | 7,642 |
ai-agent-book | chapter5/coding-agent/tests/test_glob_tool.py | .py | """
Test cases for Glob tool
Tests all features from tools.json
"""
import pytest
from tools.glob_tool import GlobTool
class TestGlobTool:
"""Test Glob tool functionality"""
def test_basic_glob(self, system_state, sample_files):
"""Test basic glob pattern"""
tool = GlobTool(system_state)... | 132 | 4,393 |
ai-agent-book | chapter5/coding-agent/tests/test_grep_multiline_content.py | .py | import sys
from pathlib import Path
# Ensure coding-agent modules can be resolved regardless of working directory
sys.path.insert(0, str(Path(__file__).parent.parent))
from system_state import SystemState
from tools.grep_tool import GrepTool
def test_grep_tool_supports_multiline_content_matching(tmp_path):
"""V... | 36 | 1,197 |
ai-agent-book | chapter5/coding-agent/tests/test_ls_tool.py | .py | """
Test cases for LS tool
Tests all features from tools.json
"""
import pytest
from pathlib import Path
from tools.ls_tool import LSTool
class TestLSTool:
"""Test LS tool functionality"""
def test_basic_listing(self, system_state, sample_files):
"""Test basic directory listing"""
tool =... | 211 | 7,089 |
ai-agent-book | chapter5/coding-agent/tests/test_shell_session.py | .py | """
Test cases for ShellSession __CMD_DONE__ marker handling
"""
from unittest.mock import MagicMock, patch
from tools import shell_session
from tools.shell_session import ShellSession
class TestShellSelection:
"""Test platform-specific shell selection and command wrapping."""
def test_windows_prefers_powe... | 141 | 5,301 |
ai-agent-book | chapter5/coding-agent/tests/test_grep_head_limit_zero.py | .py | """head_limit=0 must return zero results (like `head -0`), not unlimited."""
def test_head_limit_zero_files_with_matches(system_state, sample_files):
from tools.grep_tool import GrepTool
result = GrepTool(system_state).execute(
{
"pattern": "ERROR",
"path": str(sample_files["t... | 44 | 1,285 |
ai-agent-book | chapter5/coding-agent/tests/test_grep_negative_head_limit.py | .py | """Regression: head_limit=-1 must mean unlimited, not stop after first hit."""
from pathlib import Path
def test_source_treats_negative_head_limit_as_unlimited():
src = Path(__file__).resolve().parents[1] / "tools" / "grep_tool.py"
text = src.read_text()
assert "if head_limit is not None and head_limit < ... | 10 | 404 |
ai-agent-book | chapter5/coding-agent/tests/test_todo_write_tool.py | .py | """
Test cases for TodoWrite tool
Tests all features from tools.json
"""
import pytest
from tools.todo_write_tool import TodoWriteTool
class TestTodoWriteTool:
"""Test TodoWrite tool functionality"""
def test_create_todo_list(self, system_state):
"""Test creating a TODO list"""
tool = To... | 143 | 5,053 |
ai-agent-book | chapter5/coding-agent/tests/test_bash_output_tool.py | .py | """
Test cases for BashOutput tool
Tests all features from tools.json
"""
import pytest
import time
from pathlib import Path
from tools.bash_output_tool import BashOutputTool
from tools.bash_tool import BashTool
class TestBashOutputTool:
"""Test BashOutput tool functionality"""
def test_retrieve_backgro... | 116 | 3,723 |
ai-agent-book | chapter5/coding-agent/tests/test_edit_tool.py | .py | """
Test cases for Edit tool
Tests all features from tools.json
"""
import pytest
from pathlib import Path
from tools.edit_tool import EditTool
class TestEditTool:
"""Test Edit tool functionality"""
def test_basic_edit(self, system_state, sample_files):
"""Test basic search and replace"""
... | 188 | 6,380 |
ai-agent-book | chapter5/coding-agent/tests/test_grep_negative_context.py | .py | """Regression: negative -B/-A/-C must not wipe matches via empty ranges."""
from pathlib import Path
def test_source_clamps_context():
src = Path(__file__).resolve().parents[1] / "tools" / "grep_tool.py"
text = src.read_text()
assert "context_before = max(0, int(context_before))" in text
| 9 | 303 |
ai-agent-book | chapter5/coding-agent/tests/test_grep_tool.py | .py | """
Test cases for Grep tool - Pure Python implementation
Tests all features from tools.json
"""
import pytest
from tools.grep_tool import GrepTool
class TestGrepTool:
"""Test Grep tool functionality"""
def test_basic_search(self, system_state, sample_files):
"""Test basic pattern search"""
... | 285 | 9,940 |
ai-agent-book | chapter5/coding-agent/tests/conftest.py | .py | """
Pytest configuration and fixtures
"""
import pytest
import tempfile
import shutil
from pathlib import Path
from system_state import SystemState
@pytest.fixture
def system_state():
"""Create a fresh system state for each test"""
return SystemState()
@pytest.fixture
def temp_dir():
"""Create a tempor... | 84 | 1,801 |
ai-agent-book | chapter5/log-diagnosis/campaign.py | .py | """Acceptance campaign for Experiment 5-8 using live HTTP, an LLM, and GitHub MCP."""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import re
import shutil
import socket
import subprocess
import sys
import time
import urllib.error
import urllib.request
from dataclasses import... | 661 | 29,011 |
ai-agent-book | chapter5/log-diagnosis/github_mcp.py | .py | """
github_mcp.py —— GitHub Issue 创建（默认 mock，可选真实 MCP）
- mock（默认）：把"创建 Issue"渲染成将要提交的 Issue 结构，打印并写入本地文件，
不联网、不需要 token。
- 真实（mock=False，需 GITHUB_TOKEN + GITHUB_REPO）：通过 MCP 协议连接官方
GitHub MCP Server（stdio），调用其 `create_issue` 工具在真实仓库创建 Issue。
出于安全，真实创建须由 demo.py 的 --create-issue 显式开启。
"""
import json
import os
i... | 142 | 6,358 |
ai-agent-book | chapter5/log-diagnosis/test_replay_latency.py | .py | from replay import _eval_assertion
def test_latency_under_null_latency_ms():
assertion = {
"type": "latency_under",
"params": {"tool": "test_tool", "threshold": 150},
}
traj = {
"turns": [
{"tool": "test_tool", "latency_ms": None},
{"tool": "test_tool", "lat... | 26 | 750 |
ai-agent-book | chapter5/log-diagnosis/replay.py | .py | """
replay.py —— 回归测试重放框架
输入：Agent 生成的回归测试用例（结构化 JSON），引用轨迹 ID 与交互轮次。
过程：从原始轨迹取出该任务的输入，喂给被测系统（sut.run_task）重放，
在重放产生的新轨迹上求值断言，给出 通过/失败。
一个测试用例的结构（Agent 需按此 DSL 生成）：
{
"test_id": "RT-001",
"trajectory_id": "T-1001", # 引用的问题轨迹
"focus_turn": 3, # 关键交互轮次（问题所在）
"description": "退款前必须先做资格... | 139 | 5,446 |
ai-agent-book | chapter5/log-diagnosis/test_github_mcp_bare_output.py | .py | import json
import os
import github_mcp
def test_create_issues_bare_filename(tmp_path, monkeypatch):
"""out_path 为不带目录的裸文件名时，落盘不应崩溃（dirname 为空串）。"""
monkeypatch.chdir(tmp_path)
problems = [{"priority": "P1", "module": "refund",
"title": "退款未校验", "description": "描述"}]
issues = github_... | 25 | 911 |
ai-agent-book | chapter5/log-diagnosis/demo.py | .py | """
demo.py —— 实验 5-8：生产日志的智能诊断系统（全流程演示）
流水线：
读轨迹集合 + 架构 + PRD
-> [LLM] 诊断：定位问题、结构化报告(优先级/模块/描述/建议)
-> [LLM] 生成回归测试用例(引用轨迹ID+交互轮次)
-> 重放框架真正执行：先复现 bug(FAIL)，再验证修复(PASS)
-> (mock) 通过 MCP 对接 GitHub 创建 Issue
运行：
cp env.example .env && 填入 OPENAI_API_KEY
python demo.py # 完整流程（两次真实 LLM... | 219 | 11,080 |
ai-agent-book | chapter5/log-diagnosis/http_service.py | .py | """Small real HTTP system used by the Experiment 5-8 campaign.
The service intentionally exposes ordinary order, refund, and inventory
endpoints. The buggy/fixed distinction lives in the orchestrator under test:
the buggy orchestrator skips a required endpoint and mishandles an inventory
timeout, while the fixed orch... | 99 | 3,701 |
ai-agent-book | chapter5/log-diagnosis/test_campaign_orchestrator.py | .py | """Live HTTP regressions for the findings reported in issue #502."""
from __future__ import annotations
import threading
from collections.abc import Iterator
from http.server import ThreadingHTTPServer
import pytest
from campaign import INVENTORY_DEADLINE_SECONDS, _trajectory
from http_service import Handler
@pyt... | 65 | 1,976 |
ai-agent-book | chapter5/log-diagnosis/sut.py | .py | """
sut.py —— System Under Test（被测系统的确定性仿真）
回归测试的核心是"用相同输入重放，断言修复后系统能产生正确行为"。
这里用一个**确定性**的仿真器来扮演线上 Agent 系统：
- run_task(task_input, fixed=False)：复现线上（有 bug）的行为，
产出的轨迹会带上和生产轨迹一致的三类已知问题。
- run_task(task_input, fixed=True)：模拟"修复后"的系统，
正确执行前置校验 / 重试退避 / 库存降级。
replay.py 会分别对 fixed=False / fixed=True 重放同一输入，
从而演示同一条回... | 112 | 5,070 |
ai-agent-book | chapter5/log-diagnosis/diagnoser.py | .py | """
diagnoser.py —— 诊断 Agent（真实调用 OpenAI）
两个阶段，均为真实 LLM 调用：
1) diagnose() 读轨迹集合 + 架构 + PRD -> 结构化问题报告(优先级/模块/描述/建议)
2) gen_test_cases() 基于问题报告 -> 生成可被 replay.py 自动执行的回归测试用例
默认模型 gpt-5.6-luna，输出走 JSON 模式，尽量稳定可解析。
"""
import json
import os
from typing import Dict, Any, List
from openai import OpenAI
MODE... | 160 | 6,490 |
ai-agent-book | chapter5/conversational-ui/test_customize_non_dict_file_item.py | .py | """apply_edits files 列表含 null/非 dict 项时，customize 应丢弃而非崩溃。"""
import json
import types
import pytest
import agent
def _fake_client(arguments):
fn = types.SimpleNamespace(name="apply_edits", arguments=arguments)
tc = types.SimpleNamespace(id="c1", type="function", function=fn)
msg = types.SimpleNamespace... | 44 | 1,537 |
ai-agent-book | chapter5/conversational-ui/test_customize_malformed_json.py | .py | """Malformed apply_edits JSON must not abort customize with JSONDecodeError."""
import types
import agent
def _fake_client(arguments):
fn = types.SimpleNamespace(name="apply_edits", arguments=arguments)
tc = types.SimpleNamespace(id="c1", type="function", function=fn)
msg = types.SimpleNamespace(tool_cal... | 42 | 1,566 |
ai-agent-book | chapter5/conversational-ui/campaign_browser.py | .py | #!/usr/bin/env python3
"""Live Vite-HMR/browser campaign for Chapter 5, Experiment 5-11."""
from __future__ import annotations
import argparse
import datetime as dt
import hashlib
import json
import os
import signal
import shutil
import socket
import subprocess
import time
import urllib.request
from pathlib import Pa... | 388 | 19,070 |
ai-agent-book | chapter5/conversational-ui/demo.py | .py | """实验 5-11：对话式界面定制系统 —— 端到端演示与自动验证。
本 demo 在"无浏览器"的环境里，把可验证性落在【自然语言 → 代码修改被正确应用】的闭环上：
对每一条自然语言定制需求：
1) 调用真实 OpenAI，让 Agent 定位并改写前端源码（agent.customize）；
2) 打印改动前后的 diff 片段（difflib），并把改动写回 frontend/src；
3) 读回源码做断言，确认改动"确实符合需求"（颜色值/字体/文案按要求变化）；
4) 运行 `npm run build`（vite build），确认改动没有破坏应用（可编译通过）。
连续跑... | 241 | 8,776 |
ai-agent-book | chapter5/conversational-ui/test_customize_malformed_args.py | .py | """模型返回的 apply_edits 参数缺字段/为 null 时，customize 应干净处理而非崩溃。"""
import json
import types
import pytest
import agent
def _fake_client(arguments):
fn = types.SimpleNamespace(name="apply_edits", arguments=arguments)
tc = types.SimpleNamespace(id="c1", type="function", function=fn)
msg = types.SimpleNamespace(t... | 59 | 2,391 |
ai-agent-book | chapter5/conversational-ui/agent.py | .py | """实验 5-11：对话式界面定制 Agent。
职责：接收一条自然语言 UI 定制需求（如"把发送按钮改成蓝色"），读取前端源码，
调用 OpenAI 让模型定位并改写相应源文件（颜色 / 字体 / 文案 / 布局 / 组件）。
设计要点
--------
- 只暴露少量"可定制文件"给模型（frontend/src 下的 App.jsx 与 theme.css），
降低模型改错文件的概率，也让改动可控、可验证。
- 通过 function calling 的 `apply_edits` 工具，让模型返回"要整体改写的文件全文"。
相比零散的 search/replace，整文件改写对小文件更稳定、更少破坏语法。
-... | 198 | 7,842 |
ai-agent-book | chapter5/conversational-ui/validation/runs/20260729T212727Z-5_11-hmr/app/backend/main.py | .py | """实验 5-11：对话式界面定制系统 —— FastAPI 后端。
一个最小的 chatbot 后端：前端把用户消息 POST 到 /api/chat，后端返回回复。
开发模式下用 `uvicorn main:app --reload` 启动，改动后端代码会自动 reload
（对应书中所说的"FastAPI 的热加载"）。
两种回复模式（默认保持"回声式"占位，聚焦 UI 定制这一主题）：
- **echo（默认）**：后端把用户消息原样回显，无需任何模型 Key，开箱即用；
- **llm（可选）**：设置模型后走真实 LLM 对话，让运行起来的 chatbot 真会说话。
通过命令行 `--model`... | 220 | 8,158 |
ai-agent-book | chapter5/adaptive-log-parser/campaign.py | .py | #!/usr/bin/env python3
"""Live self-healing parser + browser/Vision campaign for Experiment 5-7."""
from __future__ import annotations
import argparse
import ast
import base64
import datetime as dt
import hashlib
import html
import io
import json
import os
import re
import shutil
import subprocess
import time
from pa... | 329 | 17,098 |
ai-agent-book | chapter5/adaptive-log-parser/tester.py | .py | """
tester.py —— 自动测试（对生成的解析器做数据结构断言）
书中原方案：把生成的可视化代码放进虚拟浏览器渲染，再用 Vision LLM 检查图像。
本机没有 playwright/浏览器，因此**降级**为对解析函数做单元测试：
用一批样本日志喂给生成的 parse 函数，断言它能解析出预期的结构化字段。
这保证了“生成的代码确实能正确解析新格式”，是自愈闭环里真正的质量闸门。
"""
from __future__ import annotations
from typing import Callable, Dict, List, Optional
ParserFn = Callable[[str], ... | 60 | 2,230 |
ai-agent-book | chapter5/adaptive-log-parser/engine.py | .py | """
engine.py —— 自适应日志解析引擎（自愈闭环的“运行时”）
设计要点：
- 引擎维护一个**解析器注册表**（有序列表）。每来一行日志，依次尝试每个解析器，
谁能解析（返回非空 dict）就用谁的结果；全部失败则抛出 ParseError —— 这就是
“前端检测到无法解析的新格式”的信号，触发后续的自愈流程。
- 每个解析器就是一个纯函数 `parse(line: str) -> dict | None`：
* 能解析 → 返回结构化字段（dict）
* 不认识这行 → 返回 None（把机会让给别的解析器，避免“抢答”）
- 生成的解析器可以持久化成 parsers/*.py 模块，下... | 116 | 5,043 |
ai-agent-book | chapter5/adaptive-log-parser/demo.py | .py | """
demo.py —— 自适应日志解析系统：自愈闭环演示
演示整条自愈流程（全流程自动化）：
初始系统只认基础 JSON 日志 →
遇到没见过的新格式 → 解析【失败】被检测到 →
把失败样本 + 报错交给 Agent → Agent【生成解析代码】→
【自动测试】（数据结构断言）→ 通过后【热加载注册 + 持久化】→
系统【正确解析】了新格式。
运行：
python demo.py # 完整演示（两种新格式，两次 Agent 调用，需 API Key）
python demo.py --offline # 离线演示：用预置解析器跑完整机制，无需 API Key
py... | 301 | 13,045 |
ai-agent-book | chapter5/adaptive-log-parser/agent.py | .py | """
agent.py —— 代码生成 Agent（自愈闭环的“大脑”）
职责：拿到无法解析的失败样本 + 报错，调用 OpenAI，生成一个能正确解析该格式的
Python 解析函数 `def parse(line: str) -> dict | None`。支持把上一轮自动测试的
失败报告作为反馈再次生成（迭代修复）。
"""
from __future__ import annotations
import os
import re
from typing import List, Optional
from openai import OpenAI
# .env 加载（可选依赖）
try:
from do... | 201 | 8,055 |
ai-agent-book | chapter5/adaptive-log-parser/validation/runs/20260729T212342Z-5_7-live/producer-2.py | .py | import datetime, time
events=[('inventory_lookup',34,'ok','stock check completed'),('payment_api',181,'retry','upstream requested retry'),('payment_api',412,'timeout','deadline exceeded')]
for tool,latency,status,message in events:
started=time.perf_counter(); time.sleep(0.003); observed=max(latency,int((time.perf_... | 8 | 638 |
ai-agent-book | chapter5/adaptive-log-parser/validation/runs/20260729T212342Z-5_7-live/producer-1.py | .py | import logging, sys
formatter=logging.Formatter('%(asctime)s|%(levelname)s|%(name)s|step=%(step)s|%(message)s', datefmt='%Y-%m-%dT%H:%M:%SZ')
handler=logging.StreamHandler(sys.stdout); handler.setFormatter(formatter)
logger=logging.getLogger('checkout.worker'); logger.handlers=[handler]; logger.setLevel(logging.INFO); ... | 8 | 547 |
ai-agent-book | chapter5/adaptive-log-parser/validation/runs/20260729T212342Z-5_7-live/parsers/live_pipe_parser.py | .py | import re
def parse(line: str) -> dict | None:
# 定义匹配日志格式的正则表达式
pattern = r'^(\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z)\|([A-Z]+)\|([\w.]+)\|step=(\d+)\|(.*)$'
match = re.match(pattern, line.strip())
if not match:
return None
# 提取各个字段
timestamp = match.group(1)
level = match.g... | 29 | 733 |
ai-agent-book | chapter5/adaptive-log-parser/validation/runs/20260729T212342Z-5_7-live/parsers/live_bracket_parser.py | .py | import re
def parse(line: str) -> dict | None:
# 定义日志格式的正则表达式模式
pattern = r'^\[(?P<timestamp>[^\]]+)\]\s*\((?P<level>[^)]+)\)\s*<tool=(?P<tool>[^>]+)>\s*\{latency_ms=(?P<latency_ms>\d+)\s+status=(?P<status>\w+)\}\s*::\s*(?P<message>.*)$'
# 尝试匹配日志行
match = re.match(pattern, line.strip())
if not... | 28 | 869 |
ai-agent-book | chapter5/code-for-math/test_campaign.py | .py | from build_aime_2024 import convert
from demo import campaign_completion, paired_statistics
def test_aime_converter_rejects_non_complete_fixture():
row = {
"id": 1,
"problem": "What is 1+1?",
"answer": "2",
"url": "https://example.test/aime",
"year": "2024",
}
try:
... | 75 | 2,559 |
ai-agent-book | chapter5/code-for-math/test_empty_problems.py | .py | """Empty problems JSON must not ZeroDivisionError in the accuracy summary."""
import json
import sys
from pathlib import Path
from types import SimpleNamespace
import demo as cfm
class _Resp:
def __init__(self):
self.choices = [
SimpleNamespace(
message=SimpleNamespace(content... | 64 | 1,602 |
ai-agent-book | chapter5/code-for-math/sandbox.py | .py | """子进程 Python 沙箱：在隔离的子进程中执行模型生成的代码，带超时限制。
预装 sympy / numpy / scipy（随本项目 requirements 一并安装）。
之所以用子进程而不是 exec()，是为了：
1. 隔离：模型代码崩溃 / 死循环不会影响主进程；
2. 超时：可强制杀掉执行过久的代码；
3. 干净的命名空间：每次执行都是全新解释器。
"""
import subprocess
import sys
import tempfile
import os
# 在执行前注入的前置代码：预导入常用数学库，方便模型直接使用。
PREAMBLE = """
import math
import... | 74 | 2,508 |
ai-agent-book | chapter5/code-for-math/demo.py | .py | """实验 5-1：用代码生成工具提升数学解题能力
对照实验：在同一组 AIME 风格竞赛数学题上，比较
- 【纯思维链 CoT】：只靠自然语言推理，不能执行代码；
- 【代码辅助】：把问题形式化为 Python（sympy 符号计算、scipy 数值优化、
numpy 矩阵），在子进程沙箱执行，返回精确结果。
两种模式跑同一个模型、同一组题、temperature=0，最后给出准确率对照表。
运行: python demo.py # 跑完整对照实验（需要 API key）
python demo.py --selfcheck # 离线自检：只跑沙箱... | 771 | 31,189 |
ai-agent-book | chapter5/code-for-math/build_aime_2024.py | .py | #!/usr/bin/env python3
"""Build a revision-pinned official AIME 2024 benchmark for Experiment 5-1."""
from __future__ import annotations
import argparse
import hashlib
import json
import tempfile
import urllib.request
from pathlib import Path
import pyarrow.parquet as parquet
DATASET = "HuggingFaceH4/aime_2024"
RE... | 93 | 3,147 |
ai-agent-book | chapter5/dynamic-form/campaign.py | .py | #!/usr/bin/env python3
"""Canonical live campaign for Chapter 5, Experiment 5-9.
The companion demo historically stopped at static HTML inspection and a
constructed submission dictionary. This campaign deliberately has no such
fallback: a real model writes the form, Chromium executes its JavaScript, a
single browser ... | 340 | 13,209 |
ai-agent-book | chapter5/dynamic-form/test_summarize_numeric_zero_baggage.py | .py | import importlib.util
from pathlib import Path
_demo_path = Path(__file__).parent / "demo.py"
_spec = importlib.util.spec_from_file_location("dynamic_form_demo", _demo_path)
_demo = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(_demo)
summarize_offline = _demo.summarize_offline
def test_summarize_o... | 61 | 2,132 |
ai-agent-book | chapter5/dynamic-form/demo.py | .py | """实验 5-9：动态表单生成的意图澄清系统（★★）
核心思路
--------
当用户请求缺少关键信息时，Agent 不是逐条追问，而是**动态生成一个自包含的
HTML 表单**（含级联显示逻辑），让用户"一次提交"补全所有澄清点；前端把表单
汇总成 JSON 交回 Agent，Agent 解析后继续任务。
本 demo 分三步验证（不依赖真实浏览器）：
1) 生成澄清表单 HTML，保存为 generated_form.html；
2) 用 BeautifulSoup 结构化校验：确实含 出发城市/出发日期/旅行类型(单程,往返)/
返程日期，且返程字段带"仅往返显示"的级联 JS 逻辑；
3) 模... | 724 | 29,546 |
ai-agent-book | chapter5/dynamic-form/test_round_trip_destination.py | .py | import subprocess
import sys
from pathlib import Path
import pytest
@pytest.mark.parametrize(
("user_request", "expected_destination"),
[
("我想订一张去上海的机票", "上海"),
("我想订一张去上海的往返机票", "上海"),
("我想订一张去上海往返的机票", "上海"),
("我想订一张去上海往返机票", "上海"),
("我想订一张去广州的单程机票", "广州"),
(... | 58 | 2,021 |
ai-agent-book | chapter5/paper-to-video/campaign.py | .py | """Canonical real-API paper-to-lecture-video campaign for Experiment 5-5."""
from __future__ import annotations
import argparse
import base64
import hashlib
import json
import os
import re
import shutil
import subprocess
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import ... | 468 | 21,993 |
ai-agent-book | chapter5/paper-to-video/test_null_bullet_item.py | .py | """Slide bullets containing null must still render a PNG."""
import demo
def test_render_slide_skips_null_bullet(tmp_path, monkeypatch):
monkeypatch.setattr(demo, "SLIDES_DIR", tmp_path)
slide = {
"title": "Demo Title",
"subtitle": "Demo Subtitle",
"bullets": ["ok", None, "also"],
... | 16 | 469 |
ai-agent-book | chapter5/paper-to-video/test_campaign.py | .py | import json
from pathlib import Path
import campaign
def test_protocol_is_exact_twelve_page_five_to_fifteen_minute_contract():
protocol = json.loads(campaign.PROTOCOL_PATH.read_text())
assert len(protocol["source"]["selected_pages"]) == 12
assert protocol["acceptance"]["duration_seconds_min"] == 300
... | 90 | 3,184 |
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