AIDeveloper-PC/requirements_generator/main.py

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#!/usr/bin/env python3
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# main.py - 主入口:支持交互式 & 非交互式两种运行模式
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import os
import sys
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from typing import Dict, List
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import click
from rich.console import Console
from rich.table import Table
from rich.panel import Panel
from rich.prompt import Prompt, Confirm
import config
from database.db_manager import DBManager
from database.models import Project, RawRequirement, FunctionalRequirement
from core.llm_client import LLMClient
from core.requirement_analyzer import RequirementAnalyzer
from core.code_generator import CodeGenerator
from utils.file_handler import read_file_auto, merge_knowledge_files
from utils.output_writer import (
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ensure_project_dir, build_project_output_dir,
write_project_readme, write_function_signatures_json,
validate_all_signatures, patch_signatures_with_url,
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)
console = Console()
db = DBManager()
# ══════════════════════════════════════════════════════
# 显示工具函数
# ══════════════════════════════════════════════════════
def print_banner():
console.print(Panel.fit(
"[bold cyan]🚀 需求分析 & 代码生成工具[/bold cyan]\n"
"[dim]Powered by LLM · SQLite · Python[/dim]",
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border_style="cyan",
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))
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def print_functional_requirements(reqs: List[FunctionalRequirement]):
"""以表格形式展示功能需求列表(含模块列)"""
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table = Table(title="📋 功能需求列表", show_lines=True)
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table.add_column("序号", style="cyan", width=6)
table.add_column("ID", style="dim", width=6)
table.add_column("模块", style="magenta", width=15)
table.add_column("标题", style="bold", width=18)
table.add_column("函数名", width=25)
table.add_column("优先级", width=8)
table.add_column("描述", width=35)
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priority_color = {"high": "red", "medium": "yellow", "low": "green"}
for req in reqs:
color = priority_color.get(req.priority, "white")
table.add_row(
str(req.index_no),
str(req.id) if req.id else "-",
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req.module or config.DEFAULT_MODULE,
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req.title,
f"[code]{req.function_name}[/code]",
f"[{color}]{req.priority}[/{color}]",
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req.description[:50] + "..." if len(req.description) > 50 else req.description,
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)
console.print(table)
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def print_module_summary(reqs: List[FunctionalRequirement]):
"""打印模块分组摘要"""
module_map: Dict[str, List[str]] = {}
for req in reqs:
m = req.module or config.DEFAULT_MODULE
module_map.setdefault(m, []).append(req.function_name)
table = Table(title="📦 功能模块分组", show_lines=True)
table.add_column("模块", style="magenta bold", width=20)
table.add_column("函数数量", style="cyan", width=8)
table.add_column("函数列表", width=50)
for module, funcs in sorted(module_map.items()):
table.add_row(module, str(len(funcs)), ", ".join(funcs))
console.print(table)
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def print_signatures_preview(signatures: List[dict]):
"""以表格形式预览函数签名列表(含 module / url 列)"""
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table = Table(title="📄 函数签名预览", show_lines=True)
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table.add_column("需求编号", style="cyan", width=8)
table.add_column("模块", style="magenta", width=15)
table.add_column("函数名", style="bold", width=22)
table.add_column("参数数", width=6)
table.add_column("返回类型", width=10)
table.add_column("URL", style="dim", width=28)
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for sig in signatures:
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ret = sig.get("return") or {}
url = sig.get("url", "")
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url_display = os.path.basename(url) if url else "[dim]待生成[/dim]"
table.add_row(
sig.get("requirement_id", "-"),
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sig.get("module", "-"),
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sig.get("name", "-"),
str(len(sig.get("parameters", {}))),
ret.get("type", "void"),
url_display,
)
console.print(table)
# ══════════════════════════════════════════════════════
# Step 1项目初始化
# ══════════════════════════════════════════════════════
def step_init_project(
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project_name: str = None,
language: str = None,
description: str = "",
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non_interactive: bool = False,
) -> Project:
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console.print(
"\n[bold]Step 1 · 项目配置[/bold]"
+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
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if not non_interactive:
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project_name = project_name or Prompt.ask("📁 项目名称")
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language = language or Prompt.ask(
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"💻 目标语言", default=config.DEFAULT_LANGUAGE,
choices=["python","javascript","typescript","java","go","rust"],
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)
description = description or Prompt.ask("📝 项目描述(可选)", default="")
else:
if not project_name:
raise ValueError("非交互模式下 --project-name 为必填项")
language = language or config.DEFAULT_LANGUAGE
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console.print(f" 项目: {project_name} 语言: {language}")
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existing = db.get_project_by_name(project_name)
if existing:
if non_interactive:
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console.print(f"[green]✓ 已加载项目: {project_name} (ID={existing.id})[/green]")
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return existing
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if Confirm.ask(f"⚠️ 项目 '{project_name}' 已存在,继续使用?"):
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console.print(f"[green]✓ 已加载项目: {project_name} (ID={existing.id})[/green]")
return existing
project_name = Prompt.ask("请输入新的项目名称")
project = Project(
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name = project_name,
language = language,
output_dir = build_project_output_dir(project_name),
description = description,
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)
project.id = db.create_project(project)
console.print(f"[green]✓ 项目已创建: {project_name} (ID={project.id})[/green]")
return project
# ══════════════════════════════════════════════════════
# Step 2输入原始需求 & 知识库
# ══════════════════════════════════════════════════════
def step_input_requirement(
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project: Project,
requirement_text: str = None,
requirement_file: str = None,
knowledge_files: list = None,
non_interactive: bool = False,
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) -> tuple:
console.print(
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"\n[bold]Step 2 · 输入原始需求[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
raw_text = ""
source_name = None
source_type = "text"
if non_interactive:
if requirement_file:
raw_text = read_file_auto(requirement_file)
source_name = os.path.basename(requirement_file)
source_type = "file"
console.print(f" 需求文件: {source_name} ({len(raw_text)} 字符)")
elif requirement_text:
raw_text = requirement_text
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console.print(f" 需求文本: {raw_text[:80]}{'...' if len(raw_text)>80 else ''}")
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else:
raise ValueError("非交互模式下必须提供 --requirement-text 或 --requirement-file")
else:
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input_type = Prompt.ask("📥 需求输入方式", choices=["text","file"], default="text")
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if input_type == "text":
console.print("[dim]请输入原始需求(输入空行结束):[/dim]")
lines = []
while True:
line = input()
if line == "" and lines:
break
lines.append(line)
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raw_text = "\n".join(lines)
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else:
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fp = Prompt.ask("📂 需求文件路径")
raw_text = read_file_auto(fp)
source_name = os.path.basename(fp)
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source_type = "file"
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console.print(f"[green]✓ 已读取: {source_name} ({len(raw_text)} 字符)[/green]")
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knowledge_text = ""
if non_interactive:
if knowledge_files:
knowledge_text = merge_knowledge_files(list(knowledge_files))
console.print(f" 知识库: {len(knowledge_files)} 个文件,{len(knowledge_text)} 字符")
else:
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if Confirm.ask("📚 是否输入知识库文件?", default=False):
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kb_paths = []
while True:
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p = Prompt.ask("知识库文件路径(留空结束)", default="")
if not p:
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break
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if os.path.exists(p):
kb_paths.append(p)
console.print(f" [green]+ {p}[/green]")
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else:
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console.print(f" [red]文件不存在: {p}[/red]")
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if kb_paths:
knowledge_text = merge_knowledge_files(kb_paths)
console.print(f"[green]✓ 知识库已合并 ({len(knowledge_text)} 字符)[/green]")
return raw_text, knowledge_text, source_name, source_type
# ══════════════════════════════════════════════════════
# Step 3LLM 分解需求
# ══════════════════════════════════════════════════════
def step_decompose_requirements(
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project: Project,
raw_text: str,
knowledge_text: str,
source_name: str,
source_type: str,
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non_interactive: bool = False,
) -> tuple:
console.print(
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"\n[bold]Step 3 · LLM 需求分解[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
raw_req = RawRequirement(
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project_id = project.id,
content = raw_text,
source_type = source_type,
source_name = source_name,
knowledge = knowledge_text or None,
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)
raw_req_id = db.create_raw_requirement(raw_req)
console.print(f"[dim]原始需求已存储 (ID={raw_req_id})[/dim]")
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with console.status("[bold yellow]🤖 LLM 正在分解需求...[/bold yellow]"):
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llm = LLMClient()
analyzer = RequirementAnalyzer(llm)
func_reqs = analyzer.decompose(
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raw_requirement = raw_text,
project_id = project.id,
raw_req_id = raw_req_id,
knowledge = knowledge_text,
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)
for req in func_reqs:
req.id = db.create_functional_requirement(req)
console.print(f"[green]✓ 已生成 {len(func_reqs)} 个功能需求[/green]")
return raw_req_id, func_reqs
# ══════════════════════════════════════════════════════
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# Step 4模块分类可选重新分类
# ══════════════════════════════════════════════════════
def step_classify_modules(
project: Project,
func_reqs: List[FunctionalRequirement],
knowledge_text: str = "",
non_interactive: bool = False,
) -> List[FunctionalRequirement]:
"""
Step 4对功能需求进行模块分类
- 非交互模式直接使用 LLM 分类结果
- 交互模式展示 LLM 分类结果允许用户手动调整
"""
console.print(
"\n[bold]Step 4 · 功能模块分类[/bold]"
+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
# LLM 自动分类
with console.status("[bold yellow]🤖 LLM 正在进行模块分类...[/bold yellow]"):
llm = LLMClient()
analyzer = RequirementAnalyzer(llm)
try:
updates = analyzer.classify_modules(func_reqs, knowledge_text)
# 回写 module 到 func_reqs 对象
name_to_module = {u["function_name"]: u["module"] for u in updates}
for req in func_reqs:
req.module = name_to_module.get(req.function_name, config.DEFAULT_MODULE)
db.update_functional_requirement(req)
console.print(f"[green]✓ LLM 模块分类完成[/green]")
except Exception as e:
console.print(f"[yellow]⚠ 模块分类失败,保留原有模块: {e}[/yellow]")
print_module_summary(func_reqs)
if non_interactive:
return func_reqs
# 交互式调整
while True:
console.print(
"\n模块操作: [cyan]r[/cyan]=重新分类 "
"[cyan]e[/cyan]=手动编辑某需求的模块 [cyan]ok[/cyan]=确认继续"
)
action = Prompt.ask("请选择操作", default="ok").strip().lower()
if action == "ok":
break
elif action == "r":
# 重新触发 LLM 分类
with console.status("[bold yellow]🤖 重新分类中...[/bold yellow]"):
try:
updates = analyzer.classify_modules(func_reqs, knowledge_text)
name_to_module = {u["function_name"]: u["module"] for u in updates}
for req in func_reqs:
req.module = name_to_module.get(req.function_name, config.DEFAULT_MODULE)
db.update_functional_requirement(req)
console.print("[green]✓ 重新分类完成[/green]")
except Exception as e:
console.print(f"[red]重新分类失败: {e}[/red]")
print_module_summary(func_reqs)
elif action == "e":
print_functional_requirements(func_reqs)
idx_str = Prompt.ask("输入要修改模块的需求序号")
if not idx_str.isdigit():
continue
idx = int(idx_str)
target = next((r for r in func_reqs if r.index_no == idx), None)
if target is None:
console.print("[red]序号不存在[/red]")
continue
new_module = Prompt.ask(
f"新模块名(当前: {target.module}",
default=target.module or config.DEFAULT_MODULE,
)
target.module = new_module.strip() or config.DEFAULT_MODULE
db.update_functional_requirement(target)
console.print(f"[green]✓ 已更新 '{target.function_name}' → 模块: {target.module}[/green]")
print_module_summary(func_reqs)
return func_reqs
# ══════════════════════════════════════════════════════
# Step 5编辑功能需求
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# ══════════════════════════════════════════════════════
def step_edit_requirements(
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project: Project,
func_reqs: List[FunctionalRequirement],
raw_req_id: int,
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non_interactive: bool = False,
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skip_indices: list = None,
) -> List[FunctionalRequirement]:
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console.print(
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"\n[bold]Step 5 · 编辑功能需求[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
if non_interactive:
if skip_indices:
to_skip = set(skip_indices)
removed, kept = [], []
for req in func_reqs:
if req.index_no in to_skip:
db.delete_functional_requirement(req.id)
removed.append(req.title)
else:
kept.append(req)
func_reqs = kept
for i, req in enumerate(func_reqs, 1):
req.index_no = i
db.update_functional_requirement(req)
if removed:
console.print(f" [red]已跳过: {', '.join(removed)}[/red]")
print_functional_requirements(func_reqs)
return func_reqs
while True:
print_functional_requirements(func_reqs)
console.print(
"\n操作: [cyan]d[/cyan]=删除 [cyan]a[/cyan]=添加 "
"[cyan]e[/cyan]=编辑 [cyan]ok[/cyan]=确认继续"
)
action = Prompt.ask("请选择操作", default="ok").strip().lower()
if action == "ok":
break
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elif action == "d":
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idx_str = Prompt.ask("输入要删除的序号(多个用逗号分隔)")
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to_delete = {int(x.strip()) for x in idx_str.split(",") if x.strip().isdigit()}
removed, kept = [], []
for req in func_reqs:
if req.index_no in to_delete:
db.delete_functional_requirement(req.id)
removed.append(req.title)
else:
kept.append(req)
func_reqs = kept
for i, req in enumerate(func_reqs, 1):
req.index_no = i
db.update_functional_requirement(req)
console.print(f"[red]✗ 已删除: {', '.join(removed)}[/red]")
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elif action == "a":
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title = Prompt.ask("功能标题")
description = Prompt.ask("功能描述")
func_name = Prompt.ask("函数名 (snake_case)")
priority = Prompt.ask(
"优先级", choices=["high","medium","low"], default="medium"
)
module = Prompt.ask(
"所属模块snake_case留空使用默认",
default=config.DEFAULT_MODULE,
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)
new_req = FunctionalRequirement(
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project_id = project.id,
raw_req_id = raw_req_id,
index_no = len(func_reqs) + 1,
title = title,
description = description,
function_name = func_name,
priority = priority,
module = module.strip() or config.DEFAULT_MODULE,
is_custom = True,
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)
new_req.id = db.create_functional_requirement(new_req)
func_reqs.append(new_req)
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console.print(f"[green]✓ 已添加: {title} → 模块: {new_req.module}[/green]")
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elif action == "e":
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idx_str = Prompt.ask("输入要编辑的序号")
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if not idx_str.isdigit():
continue
idx = int(idx_str)
target = next((r for r in func_reqs if r.index_no == idx), None)
if target is None:
console.print("[red]序号不存在[/red]")
continue
target.title = Prompt.ask("新标题", default=target.title)
target.description = Prompt.ask("新描述", default=target.description)
target.function_name = Prompt.ask("新函数名", default=target.function_name)
target.priority = Prompt.ask(
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"新优先级", choices=["high","medium","low"], default=target.priority
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)
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target.module = Prompt.ask(
"新模块", default=target.module or config.DEFAULT_MODULE
).strip() or config.DEFAULT_MODULE
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db.update_functional_requirement(target)
console.print(f"[green]✓ 已更新: {target.title}[/green]")
return func_reqs
# ══════════════════════════════════════════════════════
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# Step 6A生成函数签名 JSON初版不含 url
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# ══════════════════════════════════════════════════════
def step_generate_signatures(
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project: Project,
func_reqs: List[FunctionalRequirement],
output_dir: str,
knowledge_text: str,
json_file_name: str = "function_signatures.json",
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non_interactive: bool = False,
) -> tuple:
console.print(
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"\n[bold]Step 6A · 生成函数签名 JSON[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
llm = LLMClient()
analyzer = RequirementAnalyzer(llm)
success_count = 0
fail_count = 0
def on_progress(index, total, req, signature, error):
nonlocal success_count, fail_count
if error:
console.print(
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f" [{index}/{total}] [yellow]⚠ {req.title} 签名生成失败"
f"(降级): {error}[/yellow]"
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)
fail_count += 1
else:
console.print(
f" [{index}/{total}] [green]✓ {req.title}[/green] "
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f"[dim]{req.module}[/dim] → {signature.get('name')}()"
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)
success_count += 1
console.print(f"[yellow]正在为 {len(func_reqs)} 个功能需求生成函数签名...[/yellow]")
signatures = analyzer.build_function_signatures_batch(
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func_reqs = func_reqs,
knowledge = knowledge_text,
on_progress = on_progress,
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)
# 校验
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report = validate_all_signatures(signatures)
if report:
console.print(f"[yellow]⚠ {len(report)} 个签名存在结构问题:[/yellow]")
for fname, errs in report.items():
for err in errs:
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console.print(f" [yellow]· {fname}: {err}[/yellow]")
else:
console.print("[green]✓ 所有签名结构校验通过[/green]")
json_path = write_function_signatures_json(
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output_dir = output_dir,
signatures = signatures,
project_name = project.name,
project_description = project.description or "",
file_name = json_file_name,
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)
console.print(
f"[green]✓ 签名 JSON 初版已写入: [cyan]{os.path.abspath(json_path)}[/cyan][/green]\n"
f" 成功: {success_count} 降级: {fail_count}"
)
return signatures, json_path
# ══════════════════════════════════════════════════════
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# Step 6B生成代码文件按模块写入子目录
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# ══════════════════════════════════════════════════════
def step_generate_code(
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project: Project,
func_reqs: List[FunctionalRequirement],
output_dir: str,
knowledge_text: str,
signatures: List[dict],
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non_interactive: bool = False,
) -> Dict[str, str]:
"""
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批量生成代码文件 req.module 路由到 output_dir/<module>/ 子目录
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Returns:
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func_name_to_url: {函数名: 代码文件绝对路径}
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"""
console.print(
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"\n[bold]Step 6B · 生成代码文件[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
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generator = CodeGenerator(LLMClient())
success_count = 0
fail_count = 0
func_name_to_url: Dict[str, str] = {}
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def on_progress(index, total, req, code_file, error):
nonlocal success_count, fail_count
if error:
console.print(f" [{index}/{total}] [red]✗ {req.title}: {error}[/red]")
fail_count += 1
else:
db.upsert_code_file(code_file)
req.status = "generated"
db.update_functional_requirement(req)
func_name_to_url[req.function_name] = os.path.abspath(code_file.file_path)
console.print(
f" [{index}/{total}] [green]✓ {req.title}[/green] "
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f"[dim]{req.module}/{code_file.file_name}[/dim]"
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)
success_count += 1
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console.print(
f"[yellow]开始生成 {len(func_reqs)} 个代码文件(按模块分目录)...[/yellow]"
)
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generator.generate_batch(
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func_reqs = func_reqs,
output_dir = output_dir,
language = project.language,
knowledge = knowledge_text,
signatures = signatures,
on_progress = on_progress,
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)
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# 生成 README含模块列表
modules = list({req.module or config.DEFAULT_MODULE for req in func_reqs})
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req_summary = "\n".join(
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f"{i+1}. **{r.title}** (`{r.module}/{r.function_name}`) - {r.description[:80]}"
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for i, r in enumerate(func_reqs)
)
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write_project_readme(
output_dir = output_dir,
project_name = project.name,
project_description = project.description or "",
requirements_summary = req_summary,
modules = modules,
)
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console.print(Panel(
f"[bold green]✅ 代码生成完成![/bold green]\n"
f"成功: {success_count} 失败: {fail_count}\n"
f"输出目录: [cyan]{os.path.abspath(output_dir)}[/cyan]",
border_style="green",
))
return func_name_to_url
# ══════════════════════════════════════════════════════
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# Step 6C回写 url 字段并刷新 JSON
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# ══════════════════════════════════════════════════════
def step_patch_signatures_url(
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project: Project,
signatures: List[dict],
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func_name_to_url: Dict[str, str],
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output_dir: str,
json_file_name: str,
non_interactive: bool = False,
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) -> str:
console.print(
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"\n[bold]Step 6C · 回写代码路径url到签名 JSON[/bold]"
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+ (" [dim](非交互)[/dim]" if non_interactive else ""),
style="blue",
)
patch_signatures_with_url(signatures, func_name_to_url)
patched = sum(1 for s in signatures if s.get("url"))
unpatched = len(signatures) - patched
if unpatched:
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console.print(f"[yellow]⚠ {unpatched} 个函数 url 未回写(代码生成失败)[/yellow]")
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print_signatures_preview(signatures)
json_path = write_function_signatures_json(
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output_dir = output_dir,
signatures = signatures,
project_name = project.name,
project_description = project.description or "",
file_name = json_file_name,
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)
console.print(
f"[green]✓ 签名 JSON 已更新(含 url: "
f"[cyan]{os.path.abspath(json_path)}[/cyan][/green]\n"
f" 已回写: {patched} 未回写: {unpatched}"
)
return os.path.abspath(json_path)
# ══════════════════════════════════════════════════════
# 核心工作流
# ══════════════════════════════════════════════════════
def run_workflow(
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project_name: str = None,
language: str = None,
description: str = "",
requirement_text: str = None,
requirement_file: str = None,
knowledge_files: tuple = (),
skip_indices: list = None,
json_file_name: str = "function_signatures.json",
non_interactive: bool = False,
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):
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"""完整工作流 Step 1 → 6C"""
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print_banner()
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# Step 1项目初始化
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project = step_init_project(
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project_name = project_name,
language = language,
description = description,
non_interactive = non_interactive,
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)
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# Step 2输入原始需求
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raw_text, knowledge_text, source_name, source_type = step_input_requirement(
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project = project,
requirement_text = requirement_text,
requirement_file = requirement_file,
knowledge_files = list(knowledge_files) if knowledge_files else [],
non_interactive = non_interactive,
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)
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# Step 3LLM 需求分解
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raw_req_id, func_reqs = step_decompose_requirements(
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project = project,
raw_text = raw_text,
knowledge_text = knowledge_text,
source_name = source_name,
source_type = source_type,
non_interactive = non_interactive,
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)
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# Step 4模块分类
func_reqs = step_classify_modules(
project = project,
func_reqs = func_reqs,
knowledge_text = knowledge_text,
non_interactive = non_interactive,
)
# Step 5编辑功能需求
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func_reqs = step_edit_requirements(
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project = project,
func_reqs = func_reqs,
raw_req_id = raw_req_id,
non_interactive = non_interactive,
skip_indices = skip_indices or [],
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)
if not func_reqs:
console.print("[red]⚠ 功能需求列表为空,流程终止[/red]")
return
output_dir = ensure_project_dir(project.name)
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# Step 6A生成函数签名
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signatures, json_path = step_generate_signatures(
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project = project,
func_reqs = func_reqs,
output_dir = output_dir,
knowledge_text = knowledge_text,
json_file_name = json_file_name,
non_interactive = non_interactive,
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)
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# Step 6B生成代码文件
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func_name_to_url = step_generate_code(
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project = project,
func_reqs = func_reqs,
output_dir = output_dir,
knowledge_text = knowledge_text,
signatures = signatures,
non_interactive = non_interactive,
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)
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# Step 6C回写 url刷新 JSON
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json_path = step_patch_signatures_url(
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project = project,
signatures = signatures,
func_name_to_url = func_name_to_url,
output_dir = output_dir,
json_file_name = json_file_name,
non_interactive = non_interactive,
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)
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# 最终汇总
modules = sorted({req.module or config.DEFAULT_MODULE for req in func_reqs})
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console.print(Panel(
f"[bold cyan]🎉 全部流程完成![/bold cyan]\n"
f"项目: [bold]{project.name}[/bold]\n"
f"描述: {project.description or '(无)'}\n"
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f"模块: {', '.join(modules)}\n"
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f"代码目录: [cyan]{os.path.abspath(output_dir)}[/cyan]\n"
f"签名文件: [cyan]{json_path}[/cyan]",
border_style="cyan",
))
# ══════════════════════════════════════════════════════
# CLI 入口click
# ══════════════════════════════════════════════════════
@click.command()
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@click.option("--non-interactive", is_flag=True, default=False,
help="以非交互模式运行")
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@click.option("--project-name", "-p", default=None, help="项目名称")
@click.option("--language", "-l", default=None,
type=click.Choice(["python","javascript","typescript","java","go","rust"]),
help=f"目标代码语言(默认: {config.DEFAULT_LANGUAGE}")
@click.option("--description", "-d", default="", help="项目描述")
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@click.option("--requirement-text","-r", default=None, help="原始需求文本")
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@click.option("--requirement-file","-f", default=None,
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type=click.Path(exists=True), help="原始需求文件路径")
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@click.option("--knowledge-file", "-k", default=None, multiple=True,
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type=click.Path(exists=True), help="知识库文件(可多次指定)")
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@click.option("--skip-index", "-s", default=None, multiple=True, type=int,
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help="跳过的功能需求序号(可多次指定)")
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@click.option("--json-file-name", "-j", default="function_signatures.json",
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help="签名 JSON 文件名")
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def cli(
non_interactive, project_name, language, description,
requirement_text, requirement_file, knowledge_file,
skip_index, json_file_name,
):
"""
需求分析 & 代码生成工具
\b
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交互式运行
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python main.py
\b
非交互式运行示例
python main.py --non-interactive \\
--project-name "UserSystem" \\
--description "用户管理系统后端服务" \\
--language python \\
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--requirement-text "用户管理系统,包含注册、登录、修改密码功能"
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"""
try:
run_workflow(
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project_name = project_name,
language = language,
description = description,
requirement_text = requirement_text,
requirement_file = requirement_file,
knowledge_files = knowledge_file,
skip_indices = list(skip_index) if skip_index else [],
json_file_name = json_file_name,
non_interactive = non_interactive,
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)
except KeyboardInterrupt:
console.print("\n[yellow]用户中断,退出[/yellow]")
sys.exit(0)
except Exception as e:
console.print(f"\n[bold red]❌ 错误: {e}[/bold red]")
import traceback
traceback.print_exc()
sys.exit(1)
if __name__ == "__main__":
cli()