first commit

2025-10-21 21:26:56 +08:00
commit 4e62afc40e
13 changed files with 3565 additions and 0 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -0,0 +1,75 @@
+# Python 缓存和编译文件
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# 虚拟环境
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# 数据库文件（保留主数据库文件，排除临时文件）
+database.db-shm
+database.db-wal
+
+# IDE 和编辑器文件
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# 操作系统文件
+.DS_Store
+Thumbs.db
+.directory
+
+# 日志文件
+*.log
+logs/
+
+# uv 缓存
+.uv/
+
+# Git 相关
+.git/
+.gitignore
+
+# 测试文件
+test_*.py
+*_test.py
+tests/
+
+# 文档文件
+README.md
+*.md
+docs/
+
+# Docker 相关
+Dockerfile
+.dockerignore
+
+# 临时文件
+*.tmp
+*.temp
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,54 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Database
+database.db
+*.db
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Logs
+*.log
+logs/
+
+# uv
+.uv/
+
+*.db
+*.db-*
--- a/.python-version
+++ b/.python-version
@@ -0,0 +1 @@
+3.12
--- a/41
+++ b/41
@@ -0,0 +1,41 @@
+# 使用 Python 3.12 官方镜像作为基础镜像
+FROM python:3.12-slim
+
+# 设置工作目录
+WORKDIR /app
+
+# 设置环境变量
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# 配置中科大镜像源
+RUN echo "deb https://mirrors.ustc.edu.cn/debian/ bookworm main" > /etc/apt/sources.list && \
+    echo "deb https://mirrors.ustc.edu.cn/debian/ bookworm-updates main" >> /etc/apt/sources.list && \
+    echo "deb https://mirrors.ustc.edu.cn/debian-security bookworm-security main" >> /etc/apt/sources.list
+
+# 安装系统依赖
+RUN apt-get update && apt-get install -y \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# 复制项目文件
+COPY pyproject.toml ./
+COPY uv.lock ./
+
+# 安装 uv 包管理器
+RUN pip install uv
+
+# 配置中科大 PyPI 镜像源
+RUN uv config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple/
+
+# 使用 uv 安装 Python 依赖
+RUN uv sync --frozen
+
+# 复制应用代码
+COPY . .
+
+# 暴露端口
+EXPOSE 8080
+
+# 设置启动命令
+CMD ["uv", "run", "python", "main.py"]
--- a/database.py
+++ b/database.py
@@ -0,0 +1,47 @@
+from tortoise.contrib.fastapi import register_tortoise
+from models import PresetCode
+from schemas import PresetCodeCreate, PresetCodeResponse
+from typing import List, Optional
+
+class DatabaseService:
+    """数据库操作服务类"""
+    
+    @staticmethod
+    def init_database(app, database_url: str):
+        """初始化数据库连接"""
+        register_tortoise(
+            app,
+            db_url=database_url,
+            modules={"models": ["models"]},
+            generate_schemas=True,
+        )
+    
+    @staticmethod
+    async def get_all_codes() -> List[PresetCodeResponse]:
+        """获取所有预设代码"""
+        codes = await PresetCode.all().order_by('-id')
+        return [PresetCodeResponse.from_orm(code).dict() for code in codes]
+    
+    @staticmethod
+    async def get_code_by_query(query: str) -> Optional[PresetCodeResponse]:
+        """根据查询字符串获取特定代码"""
+        code = await PresetCode.get_or_none(query=query)
+        if not code:
+            return None
+        return PresetCodeResponse.from_orm(code).dict()
+    
+    @staticmethod
+    async def create_code(code_data: PresetCodeCreate) -> PresetCodeResponse:
+        """创建新的预设代码"""
+        code = await PresetCode.create(**code_data.dict())
+        return PresetCodeResponse.from_orm(code).dict()
+    
+    @staticmethod
+    async def delete_code(code_id: int) -> bool:
+        """删除指定 ID 的代码"""
+        code = await PresetCode.get_or_none(id=code_id)
+        if not code:
+            return False
+        
+        await code.delete()
+        return True
--- a/main.py
+++ b/main.py
@@ -0,0 +1,145 @@
+from io import StringIO
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import StreamingResponse
+import os
+import json
+from openai import OpenAI
+from schemas import PresetCodeCreate, AIAnalysisRequest, DebugRequest
+from database import DatabaseService
+from pg_logger import exec_script_str_local
+from dotenv import load_dotenv
+
+
+# 加载环境变量
+load_dotenv()
+
+app = FastAPI(title="Code API", version="1.0.0")
+
+# CORS 配置
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=[
+        "https://code.xuyue.cc",
+        "http://10.13.114.114",
+        "http://localhost:3000",
+    ],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# 数据库配置
+DATABASE_URL = "sqlite://database.db"
+
+# 初始化数据库
+DatabaseService.init_database(app, DATABASE_URL)
+
+
+@app.get("/")
+async def get_all_codes() -> dict:
+    """获取所有预设代码"""
+    codes = await DatabaseService.get_all_codes()
+    return {"data": codes}
+
+
+@app.get("/query/{query}")
+async def get_code_by_query(query: str) -> dict:
+    """根据查询字符串获取特定代码"""
+    code = await DatabaseService.get_code_by_query(query)
+    if not code:
+        raise HTTPException(status_code=404, detail="Record not found!")
+    return {"data": code}
+
+
+@app.post("/")
+async def create_code(code_data: PresetCodeCreate) -> dict:
+    """创建新的预设代码"""
+    try:
+        code = await DatabaseService.create_code(code_data)
+        return {"data": code}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@app.delete("/{code_id}")
+async def delete_code(code_id: int) -> dict:
+    """删除指定 ID 的代码"""
+    success = await DatabaseService.delete_code(code_id)
+    if not success:
+        raise HTTPException(status_code=400, detail="Record not found!")
+
+    return {"data": True}
+
+
+@app.post("/ai")
+async def ai_analysis(request: AIAnalysisRequest):
+    """AI 代码分析端点"""
+    code = request.code
+    error_info = request.error_info
+    language = request.language
+
+    api_key = os.getenv("API_KEY")
+    if not api_key:
+        raise HTTPException(status_code=400, detail="API_KEY is not set")
+
+    system_prompt = "你是编程老师，擅长分析代码和错误信息，一般出错在语法和格式，请指出错误在第几行，并给出中文的、简要的解决方法。用 markdown 格式返回。"
+    user_prompt = f"编程语言：{language}\n代码：\n```{language}\n{code}\n```\n错误信息：\n```\n{error_info}\n```"
+
+    def generate_response():
+        try:
+            # 初始化 OpenAI 客户端
+            client = OpenAI(api_key=api_key, base_url="https://api.deepseek.com")
+
+            # 创建流式响应
+            stream = client.chat.completions.create(
+                model="deepseek-chat",
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": user_prompt},
+                ],
+                stream=True,
+                seed=0,
+            )
+
+            for chunk in stream:
+                if chunk.choices and len(chunk.choices) > 0:
+                    delta = chunk.choices[0].delta
+                    if hasattr(delta, "content") and delta.content:
+                        yield f"data: {json.dumps({'event': 'chunk', 'data': delta.content})}\n\n"
+
+            # 发送完成信号
+            yield f"data: {json.dumps({'event': 'done', 'data': ''})}\n\n"
+
+        except Exception as e:
+            yield f"data: {json.dumps({'event': 'error', 'data': str(e)})}\n\n"
+
+    return StreamingResponse(
+        generate_response(),
+        media_type="text/event-stream",
+        headers={
+            "Cache-Control": "no-cache",
+            "Connection": "keep-alive",
+        },
+    )
+
+
+@app.post("/debug")
+async def debug(request: DebugRequest):
+    """调试端点"""
+    code = request.code
+    inputs = request.inputs
+
+    data = {}
+
+    def dump(input_code, output_trace):
+        data.update(dict(code=input_code, trace=output_trace))
+
+    exec_script_str_local(code, inputs, False, False, dump)
+    return {"data": data}
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app, port=8080)
--- a/models.py
+++ b/models.py
@@ -0,0 +1,11 @@
+from tortoise.models import Model
+from tortoise import fields
+
+class PresetCode(Model):
+    """预设代码数据库模型"""
+    id = fields.IntField(pk=True)
+    query = fields.CharField(max_length=255, unique=True)
+    code = fields.TextField()
+    
+    class Meta:
+        table = "preset_codes"
--- a/pg_encoder.py
+++ b/pg_encoder.py
@@ -0,0 +1,589 @@
+# Online Python Tutor
+# https://github.com/pgbovine/OnlinePythonTutor/
+#
+# Copyright (C) Philip J. Guo (philip@pgbovine.net)
+#
+# Permission is hereby granted, free of charge, to any person obtaining a
+# copy of this software and associated documentation files (the
+# "Software"), to deal in the Software without restriction, including
+# without limitation the rights to use, copy, modify, merge, publish,
+# distribute, sublicense, and/or sell copies of the Software, and to
+# permit persons to whom the Software is furnished to do so, subject to
+# the following conditions:
+#
+# The above copyright notice and this permission notice shall be included
+# in all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+# Thanks to John DeNero for making the encoder work on both Python 2 and 3
+# (circa 2012-2013)
+
+
+# Given an arbitrary piece of Python data, encode it in such a manner
+# that it can be later encoded into JSON.
+#   http://json.org/
+#
+# We use this function to encode run-time traces of data structures
+# to send to the front-end.
+#
+# Format:
+#   Primitives:
+#   * None, int, long, float, str, bool - unchanged
+#     (json.dumps encodes these fine verbatim, except for inf, -inf, and nan)
+#
+#   exceptions: float('inf')  -> ['SPECIAL_FLOAT', 'Infinity']
+#               float('-inf') -> ['SPECIAL_FLOAT', '-Infinity']
+#               float('nan')  -> ['SPECIAL_FLOAT', 'NaN']
+#               x == int(x)   -> ['SPECIAL_FLOAT', '%.1f' % x]
+#               (this way, 3.0 prints as '3.0' and not as 3, which looks like an int)
+#
+#   If render_heap_primitives is True, then primitive values are rendered
+#   on the heap as ['HEAP_PRIMITIVE', <type name>, <value>]
+#
+#   (for SPECIAL_FLOAT values, <value> is a list like ['SPECIAL_FLOAT', 'Infinity'])
+#
+#   added on 2018-06-13:
+#   ['IMPORTED_FAUX_PRIMITIVE', <label>] - renders externally imported objects
+#                                          like they were primitives, to save
+#                                          space and to prevent from having to
+#                                          recurse into of them to see internals
+#
+#   Compound objects:
+#   * list     - ['LIST', elt1, elt2, elt3, ..., eltN]
+#   * tuple    - ['TUPLE', elt1, elt2, elt3, ..., eltN]
+#   * set      - ['SET', elt1, elt2, elt3, ..., eltN]
+#   * dict     - ['DICT', [key1, value1], [key2, value2], ..., [keyN, valueN]]
+#   * instance - ['INSTANCE', class name, [attr1, value1], [attr2, value2], ..., [attrN, valueN]]
+#   * instance with non-trivial __str__ defined - ['INSTANCE_PPRINT', class name, <__str__ value>, [attr1, value1], [attr2, value2], ..., [attrN, valueN]]
+#   * class    - ['CLASS', class name, [list of superclass names], [attr1, value1], [attr2, value2], ..., [attrN, valueN]]
+#   * function - ['FUNCTION', function name, parent frame ID (for nested functions),
+#                 [*OPTIONAL* list of pairs of default argument names/values] ] <-- final optional element added on 2018-06-13
+#   * module   - ['module', module name]
+#   * other    - [<type name>, string representation of object]
+#   * compound object reference - ['REF', target object's unique_id]
+#
+# the unique_id is derived from id(), which allows us to capture aliasing
+
+
+# number of significant digits for floats
+FLOAT_PRECISION = 4
+
+
+from collections import defaultdict
+import re, types
+import sys
+import math
+
+typeRE = re.compile("<type '(.*)'>")
+classRE = re.compile("<class '(.*)'>")
+
+import inspect
+
+# TODO: maybe use the 'six' library to smooth over Py2 and Py3 incompatibilities?
+is_python3 = sys.version_info[0] == 3
+if is_python3:
+    # avoid name errors (GROSS!)
+    long = int
+    unicode = str
+
+
+def is_class(dat):
+    """Return whether dat is a class."""
+    if is_python3:
+        return isinstance(dat, type)
+    else:
+        return type(dat) in (types.ClassType, types.TypeType)
+
+
+def is_instance(dat):
+    """Return whether dat is an instance of a class."""
+    if is_python3:
+        return (
+            type(dat) not in PRIMITIVE_TYPES
+            and isinstance(type(dat), type)
+            and not isinstance(dat, type)
+        )
+    else:
+        # ugh, classRE match is a bit of a hack :(
+        return type(dat) == types.InstanceType or classRE.match(str(type(dat)))
+
+
+def get_name(obj):
+    """Return the name of an object."""
+    return obj.__name__ if hasattr(obj, "__name__") else get_name(type(obj))
+
+
+PRIMITIVE_TYPES = (int, long, float, str, unicode, bool, type(None))
+
+
+def encode_primitive(dat):
+    t = type(dat)
+    if t is float:
+        if math.isinf(dat):
+            if dat > 0:
+                return ["SPECIAL_FLOAT", "Infinity"]
+            else:
+                return ["SPECIAL_FLOAT", "-Infinity"]
+        elif math.isnan(dat):
+            return ["SPECIAL_FLOAT", "NaN"]
+        else:
+            # render floats like 3.0 as '3.0' and not as 3
+            if dat == int(dat):
+                return ["SPECIAL_FLOAT", "%.1f" % dat]
+            else:
+                return round(dat, FLOAT_PRECISION)
+    elif t is str and (not is_python3):
+        # hack only for Python 2 strings ... always turn into unicode
+        # and display '?' when it's not valid unicode
+        return dat.decode("utf-8", "replace")
+    else:
+        # return all other primitives verbatim
+        return dat
+
+
+# grab a line number like ' <line 2>' or ' <line 2b>'
+def create_lambda_line_number(codeobj, line_to_lambda_code):
+    try:
+        lambda_lineno = codeobj.co_firstlineno
+        lst = line_to_lambda_code[lambda_lineno]
+        ind = lst.index(codeobj)
+        # add a suffix for all subsequent lambdas on a line beyond the first
+        # (nix this for now because order isn't guaranteed when you have
+        #  multiple lambdas on the same line)
+        """
+    if ind > 0:
+      lineno_str = str(lambda_lineno) + chr(ord('a') + ind)
+    else:
+      lineno_str = str(lambda_lineno)
+    """
+        lineno_str = str(lambda_lineno)
+        return " <line " + lineno_str + ">"
+    except:
+        return ""
+
+
+# Note that this might BLOAT MEMORY CONSUMPTION since we're holding on
+# to every reference ever created by the program without ever releasing
+# anything!
+class ObjectEncoder:
+    def __init__(self, parent):
+        self.parent = parent  # should be a PGLogger object
+
+        # Key: canonicalized small ID
+        # Value: encoded (compound) heap object
+        self.encoded_heap_objects = {}
+
+        self.render_heap_primitives = parent.render_heap_primitives
+
+        self.id_to_small_IDs = {}
+        self.cur_small_ID = 1
+
+        # wow, creating unique identifiers for lambdas is quite annoying,
+        # especially if we want to properly differentiate:
+        # 1.) multiple lambdas defined on the same line, and
+        # 2.) the same lambda code defined multiple times on different lines
+        #
+        # However, it gets confused when there are multiple identical
+        # lambdas on the same line, like:
+        # f(lambda x:x*x, lambda y:y*y, lambda x:x*x)
+
+        # (assumes everything is in one file)
+        # Key:   line number
+        # Value: list of the code objects of lambdas defined
+        #        on that line in the order they were defined
+        self.line_to_lambda_code = defaultdict(list)
+
+    def should_hide_var(self, var):
+        return self.parent.should_hide_var(var)
+
+    # searches through self.parents.types_to_inline and tries
+    # to match the type returned by type(obj).__name__ and
+    # also 'class' and 'instance' for classes and instances, respectively
+    def should_inline_object_by_type(self, obj):
+        # fast-pass optimization -- common case
+        if not self.parent.types_to_inline:
+            return False
+
+        # copy-pasted from the end of self.encode()
+        typ = type(obj)
+        typename = typ.__name__
+
+        # pick up built-in functions too:
+        if typ in (
+            types.FunctionType,
+            types.MethodType,
+            types.BuiltinFunctionType,
+            types.BuiltinMethodType,
+        ):
+            typename = "function"
+
+        if not typename:
+            return False
+
+        alt_typename = None
+        if is_class(obj):
+            alt_typename = "class"
+        elif is_instance(obj) and typename != "function":
+            # if obj is an instance of the Fooo class, then we want to match
+            # on both 'instance' and 'Fooo'
+            # (exception: 'function' objects are sometimes also instances,
+            #  but we still want to call them 'function', so ignore them)
+            typename = "instance"
+            class_name = None
+            if hasattr(obj, "__class__"):
+                # common case ...
+                class_name = get_name(obj.__class__)
+            else:
+                # super special case for something like
+                # "from datetime import datetime_CAPI" in Python 3.2,
+                # which is some weird 'PyCapsule' type ...
+                # http://docs.python.org/release/3.1.5/c-api/capsule.html
+                class_name = get_name(type(obj))
+            alt_typename = class_name
+
+        for re_match in self.parent.types_to_inline:
+            if re_match(typename):
+                return True
+            if alt_typename and re_match(alt_typename):
+                return True
+        return False
+
+    def get_heap(self):
+        return self.encoded_heap_objects
+
+    def reset_heap(self):
+        # VERY IMPORTANT to reassign to an empty dict rather than just
+        # clearing the existing dict, since get_heap() could have been
+        # called earlier to return a reference to a previous heap state
+        self.encoded_heap_objects = {}
+
+    def set_function_parent_frame_ID(self, ref_obj, enclosing_frame_id):
+        assert ref_obj[0] == "REF"
+        func_obj = self.encoded_heap_objects[ref_obj[1]]
+        assert func_obj[0] == "FUNCTION"
+        func_obj[-1] = enclosing_frame_id
+
+    # return either a primitive object or an object reference;
+    # and as a side effect, update encoded_heap_objects
+    def encode(self, dat, get_parent):
+        """Encode a data value DAT using the GET_PARENT function for parent ids."""
+        # primitive type
+        if not self.render_heap_primitives and type(dat) in PRIMITIVE_TYPES:
+            return encode_primitive(dat)
+        # compound type - return an object reference and update encoded_heap_objects
+        else:
+            # IMPORTED_FAUX_PRIMITIVE feature added on 2018-06-13:
+            is_externally_defined = (
+                False  # is dat defined in external (i.e., non-user) code?
+            )
+            try:
+                # some objects don't return anything for getsourcefile() but DO return
+                # something legit for getmodule(). e.g., "from io import StringIO"
+                # so TRY getmodule *first* and then fall back on getsourcefile
+                # since getmodule seems more robust empirically ...
+                gsf = inspect.getmodule(dat).__file__
+                if not gsf:
+                    gsf = inspect.getsourcefile(dat)
+
+                # a hacky heuristic is that if gsf is an absolute path, then it's likely
+                # to be some library function and *not* in user-defined code
+                #
+                # NB: don't use os.path.isabs() since it doesn't work on some
+                # python installations (e.g., on my webserver) and also adds a
+                # dependency on the os module. just do a simple check:
+                #
+                # hacky: do other checks for strings that are indicative of files
+                # that load user-written code, like 'generate_json_trace.py'
+                if gsf and gsf[0] == "/" and "generate_json_trace.py" not in gsf:
+                    is_externally_defined = True
+            except (AttributeError, TypeError):
+                pass  # fail soft
+            my_id = id(dat)
+
+            # if dat is an *real* object instance (and not some special built-in one
+            # like ABCMeta, or a py3 function object), then DON'T treat it as
+            # externally-defined because a user might be instantiating an *instance*
+            # of an imported class in their own code, so we want to show that instance
+            # in da visualization - ugh #hacky
+            if (
+                is_instance(dat)
+                and type(dat)
+                not in (
+                    types.FunctionType,
+                    types.MethodType,
+                    types.BuiltinFunctionType,
+                    types.BuiltinMethodType,
+                )
+                and hasattr(dat, "__class__")
+                and (get_name(dat.__class__) != "ABCMeta")
+            ):
+                is_externally_defined = False
+
+            # if this is an externally-defined object (i.e., from an imported
+            # module, don't try to recurse into it since we don't want to see
+            # the internals of imported objects; just return an
+            # IMPORTED_FAUX_PRIMITIVE object and continue along on our way
+            if is_externally_defined:
+                label = "object"
+                try:
+                    label = type(dat).__name__
+                    if is_class(dat):
+                        label = "class"
+                    elif is_instance(dat):
+                        label = "object"
+                except:
+                    pass
+                return ["IMPORTED_FAUX_PRIMITIVE", "imported " + label]  # punt early!
+
+            # next check whether it should be inlined
+            if self.should_inline_object_by_type(dat):
+                label = "object"
+                try:
+                    label = type(dat).__name__
+                    if is_class(dat):
+                        class_name = get_name(dat)
+                        label = class_name + " class"
+                    elif is_instance(dat):
+                        # a lot of copy-pasta from other parts of this file:
+                        # TODO: clean up
+                        class_name = None
+                        if hasattr(dat, "__class__"):
+                            # common case ...
+                            class_name = get_name(dat.__class__)
+                        else:
+                            # super special case for something like
+                            # "from datetime import datetime_CAPI" in Python 3.2,
+                            # which is some weird 'PyCapsule' type ...
+                            # http://docs.python.org/release/3.1.5/c-api/capsule.html
+                            class_name = get_name(type(dat))
+                        if class_name:
+                            label = class_name + " instance"
+                        else:
+                            label = "instance"
+                except:
+                    pass
+                return ["IMPORTED_FAUX_PRIMITIVE", label + " (hidden)"]  # punt early!
+
+            try:
+                my_small_id = self.id_to_small_IDs[my_id]
+            except KeyError:
+                my_small_id = self.cur_small_ID
+                self.id_to_small_IDs[my_id] = self.cur_small_ID
+                self.cur_small_ID += 1
+
+            del my_id  # to prevent bugs later in this function
+
+            ret = ["REF", my_small_id]
+
+            # punt early if you've already encoded this object
+            if my_small_id in self.encoded_heap_objects:
+                return ret
+
+            # major side-effect!
+            new_obj = []
+            self.encoded_heap_objects[my_small_id] = new_obj
+
+            typ = type(dat)
+
+            if typ == list:
+                new_obj.append("LIST")
+                for e in dat:
+                    new_obj.append(self.encode(e, get_parent))
+            elif typ == tuple:
+                new_obj.append("TUPLE")
+                for e in dat:
+                    new_obj.append(self.encode(e, get_parent))
+            elif typ == set:
+                new_obj.append("SET")
+                for e in dat:
+                    new_obj.append(self.encode(e, get_parent))
+            elif typ == dict:
+                new_obj.append("DICT")
+                for k, v in dat.items():
+                    # don't display some built-in locals ...
+                    if k not in ("__module__", "__return__", "__locals__"):
+                        new_obj.append(
+                            [self.encode(k, get_parent), self.encode(v, get_parent)]
+                        )
+            elif typ in (types.FunctionType, types.MethodType):
+                if is_python3:
+                    argspec = inspect.getfullargspec(dat)
+                else:
+                    argspec = inspect.getargspec(dat)
+
+                printed_args = [e for e in argspec.args]
+
+                default_arg_names_and_vals = []
+                if argspec.defaults:
+                    num_missing_defaults = len(printed_args) - len(argspec.defaults)
+                    assert num_missing_defaults >= 0
+                    # tricky tricky tricky how default positional arguments work!
+                    for i in range(num_missing_defaults, len(printed_args)):
+                        default_arg_names_and_vals.append(
+                            (
+                                printed_args[i],
+                                self.encode(
+                                    argspec.defaults[i - num_missing_defaults],
+                                    get_parent,
+                                ),
+                            )
+                        )
+
+                if argspec.varargs:
+                    printed_args.append("*" + argspec.varargs)
+
+                if is_python3:
+                    # kwonlyargs come before varkw
+                    if argspec.kwonlyargs:
+                        printed_args.extend(argspec.kwonlyargs)
+                        if argspec.kwonlydefaults:
+                            # iterate in order of appearance in kwonlyargs
+                            for varname in argspec.kwonlyargs:
+                                if varname in argspec.kwonlydefaults:
+                                    val = argspec.kwonlydefaults[varname]
+                                    default_arg_names_and_vals.append(
+                                        (varname, self.encode(val, get_parent))
+                                    )
+                    if argspec.varkw:
+                        printed_args.append("**" + argspec.varkw)
+                else:
+                    if argspec.keywords:
+                        printed_args.append("**" + argspec.keywords)
+
+                func_name = get_name(dat)
+
+                pretty_name = func_name
+
+                # sometimes might fail for, say, <genexpr>, so just ignore
+                # failures for now ...
+                try:
+                    pretty_name += "(" + ", ".join(printed_args) + ")"
+                except TypeError:
+                    pass
+
+                # put a line number suffix on lambdas to more uniquely identify
+                # them, since they don't have names
+                if func_name == "<lambda>":
+                    cod = dat.__code__ if is_python3 else dat.func_code  # ugh!
+                    lst = self.line_to_lambda_code[cod.co_firstlineno]
+                    if cod not in lst:
+                        lst.append(cod)
+                    pretty_name += create_lambda_line_number(
+                        cod, self.line_to_lambda_code
+                    )
+
+                encoded_val = ["FUNCTION", pretty_name, None]
+                if get_parent:
+                    enclosing_frame_id = get_parent(dat)
+                    encoded_val[2] = enclosing_frame_id
+                new_obj.extend(encoded_val)
+                # OPTIONAL!!!
+                if default_arg_names_and_vals:
+                    new_obj.append(
+                        default_arg_names_and_vals
+                    )  # *append* it as a single list element
+
+            elif typ is types.BuiltinFunctionType:
+                pretty_name = get_name(dat) + "(...)"
+                new_obj.extend(["FUNCTION", pretty_name, None])
+            elif is_class(dat) or is_instance(dat):
+                self.encode_class_or_instance(dat, new_obj)
+            elif typ is types.ModuleType:
+                new_obj.extend(["module", dat.__name__])
+            elif typ in PRIMITIVE_TYPES:
+                assert self.render_heap_primitives
+                new_obj.extend(
+                    ["HEAP_PRIMITIVE", type(dat).__name__, encode_primitive(dat)]
+                )
+            else:
+                typeStr = str(typ)
+                m = typeRE.match(typeStr)
+
+                if not m:
+                    m = classRE.match(typeStr)
+
+                assert m, typ
+
+                if is_python3:
+                    encoded_dat = str(dat)
+                else:
+                    # ugh, for bytearray() in Python 2, str() returns
+                    # non-JSON-serializable characters, so need to decode:
+                    encoded_dat = str(dat).decode("utf-8", "replace")
+                new_obj.extend([m.group(1), encoded_dat])
+
+            return ret
+
+    def encode_class_or_instance(self, dat, new_obj):
+        """Encode dat as a class or instance."""
+        if is_instance(dat):
+            if hasattr(dat, "__class__"):
+                # common case ...
+                class_name = get_name(dat.__class__)
+            else:
+                # super special case for something like
+                # "from datetime import datetime_CAPI" in Python 3.2,
+                # which is some weird 'PyCapsule' type ...
+                # http://docs.python.org/release/3.1.5/c-api/capsule.html
+                class_name = get_name(type(dat))
+
+            pprint_str = None
+            # do you or any of your superclasses have a __str__ field? if so, pretty-print yourself!
+            if hasattr(dat, "__str__"):
+                try:
+                    pprint_str = dat.__str__()
+
+                    # sometimes you'll get 'trivial' pprint_str like: '<__main__.MyObj object at 0x10f465cd0>'
+                    # or '<module 'collections' ...'
+                    # IGNORE THOSE!!!
+                    if (
+                        pprint_str[0] == "<"
+                        and pprint_str[-1] == ">"
+                        and (" at " in pprint_str or pprint_str.startswith("<module"))
+                    ):
+                        pprint_str = None
+                except:
+                    pass
+
+            # TODO: filter for trivial-looking pprint_str like those produced
+            # by object.__str__
+            if pprint_str:
+                new_obj.extend(["INSTANCE_PPRINT", class_name, pprint_str])
+            else:
+                new_obj.extend(["INSTANCE", class_name])
+
+            # don't traverse inside modules, or else risk EXPLODING the visualization
+            if class_name == "module":
+                return
+        else:
+            superclass_names = [e.__name__ for e in dat.__bases__ if e is not object]
+            new_obj.extend(["CLASS", get_name(dat), superclass_names])
+
+        # traverse inside of its __dict__ to grab attributes
+        # (filter out useless-seeming ones, based on anecdotal observation):
+        hidden = (
+            "__doc__",
+            "__module__",
+            "__return__",
+            "__dict__",
+            "__locals__",
+            "__weakref__",
+            "__qualname__",
+        )
+        if hasattr(dat, "__dict__"):
+            user_attrs = sorted([e for e in dat.__dict__ if e not in hidden])
+        else:
+            user_attrs = []
+
+        for attr in user_attrs:
+            if not self.should_hide_var(attr):
+                new_obj.append(
+                    [self.encode(attr, None), self.encode(dat.__dict__[attr], None)]
+                )
--- a/pg_logger.py
+++ b/pg_logger.py
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -0,0 +1,14 @@
+[project]
+name = "codeapi"
+version = "0.1.0"
+description = ""
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "fastapi>=0.119.1",
+    "openai>=2.6.0",
+    "pydantic>=2.12.3",
+    "python-dotenv>=1.1.1",
+    "tortoise-orm>=0.25.1",
+    "uvicorn[standard]>=0.38.0",
+]
--- a/schemas.py
+++ b/schemas.py
@@ -0,0 +1,34 @@
+from pydantic import BaseModel
+from typing import List, Dict, Any
+
+
+class PresetCodeCreate(BaseModel):
+    """创建预设代码的请求模式"""
+
+    code: str
+    query: str
+
+
+class PresetCodeResponse(BaseModel):
+    """预设代码的响应模式"""
+
+    id: int
+    query: str
+    code: str
+
+    class Config:
+        from_attributes = True
+
+
+class AIAnalysisRequest(BaseModel):
+    """AI 分析请求模式"""
+
+    code: str
+    language: str
+    error_info: str
+
+
+class DebugRequest(BaseModel):
+    """调试请求模式，用于调试 Python 代码"""
+    code: str
+    inputs: List[str]
--- a/test_debug_api.sh
+++ b/test_debug_api.sh
@@ -0,0 +1,75 @@
+u#!/bin/bash
+
+# 测试 debug API 的脚本
+
+BASE_URL="http://localhost:8080"
+
+echo "开始测试 debug API..."
+echo "API 地址: $BASE_URL"
+
+# 等待服务器启动
+echo "等待服务器启动..."
+sleep 3
+
+echo ""
+echo "=== 测试简单 Python 代码执行 ==="
+
+curl -X POST "$BASE_URL/debug" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_script": "x = 5\ny = 10\nz = x + y\nprint(f\"x = {x}, y = {y}, z = {z}\")",
+    "raw_input_json": null
+  }' \
+  -w "\n状态码: %{http_code}\n" \
+  -s
+
+echo ""
+echo "=== 测试带输入的 Python 代码 ==="
+
+curl -X POST "$BASE_URL/debug" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_script": "name = input(\"请输入您的姓名: \")\nage = int(input(\"请输入您的年龄: \"))\nprint(f\"您好 {name}，您今年 {age} 岁\")",
+    "raw_input_json": ["张三", "25"]
+  }' \
+  -w "\n状态码: %{http_code}\n" \
+  -s
+
+echo ""
+echo "=== 测试带循环的 Python 代码 ==="
+
+curl -X POST "$BASE_URL/debug" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_script": "numbers = [1, 2, 3, 4, 5]\ntotal = 0\nfor num in numbers:\n    total += num\n    print(f\"当前数字: {num}, 累计: {total}\")\nprint(f\"最终结果: {total}\")",
+    "raw_input_json": null
+  }' \
+  -w "\n状态码: %{http_code}\n" \
+  -s
+
+echo ""
+echo "=== 测试有错误的 Python 代码 ==="
+
+curl -X POST "$BASE_URL/debug" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_script": "x = 10\ny = 0\nresult = x / y\nprint(f\"结果: {result}\")",
+    "raw_input_json": null
+  }' \
+  -w "\n状态码: %{http_code}\n" \
+  -s
+
+echo ""
+echo "=== 测试 Python 函数 ==="
+
+curl -X POST "$BASE_URL/debug" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_script": "def fibonacci(n):\n    if n <= 1:\n        return n\n    return fibonacci(n-1) + fibonacci(n-2)\n\nresult = fibonacci(5)\nprint(f\"斐波那契数列第5项: {result}\")",
+    "raw_input_json": null
+  }' \
+  -w "\n状态码: %{http_code}\n" \
+  -s
+
+echo ""
+echo "所有测试完成!"
--- a/uv.lock
+++ b/uv.lock
@@ -0,0 +1,667 @@
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+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
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+[[package]]
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+]
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+source = { virtual = "." }
+dependencies = [
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+    { name = "pydantic" },
+    { name = "python-dotenv" },
+    { name = "tortoise-orm" },
+    { name = "uvicorn", extra = ["standard"] },
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+
+[package.metadata]
+requires-dist = [
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+    { name = "openai", specifier = ">=2.6.0" },
+    { name = "pydantic", specifier = ">=2.12.3" },
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+dependencies = [
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