modify: 删除隐私文件

.gitignore

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-sample/
-strategy_evaluation_results.csv
-run_metadata.json
-*.log
-simulation.html

CHANGELOG.md

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-# Changelog
-
-## [1.1.0] - 2025-08-28
-
-### Added
-- Integrated GPT-based analysis for comprehensive traffic safety insights
-- Added automated report generation with AI-powered recommendations
-- Implemented natural language query processing for data exploration
-- Added export functionality for analysis reports (PDF/CSV formats)
-- Included sentiment analysis for accident description texts
-
-### Enhanced
-- Improved data visualization with interactive charts and heatmaps
-- Optimized prediction algorithms with enhanced machine learning models
-- Expanded dataset with additional traffic parameters and weather conditions
-- Upgraded user interface with responsive design and dark mode support
-
-### Fixed
-- Resolved session state KeyError in multi-tab navigation
-- Fixed data persistence issues between application refreshes
-- Corrected timestamp parsing errors in accident data import
-- Addressed memory leaks in large dataset processing
-
-### Documentation
-- Updated README with new GPT analysis features and usage examples
-- Added API documentation for extended functionality
-- Included sample datasets and tutorial guides
-
-## [1.0.0] - 2025-08-19
-
-### Added
-- Initial release of TrafficSafeAnalyzer
-- Streamlit app with tabs for data analysis, prediction, and strategy evaluation
-
-### Fixed
-- Resolved session state KeyError
-
-## [1.0.0] - 2025-08-19
-
-### Added
-
-- Initial release of TrafficSafeAnalyzer.
-- Streamlit app with tabs for data analysis, prediction, and strategy evaluation.
-
-### Fixed
-
-- Resolved session state KeyError.

LICENSE

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-Copyright (c) 2025 TongNian
-
-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.

readme.md

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-# TrafficSafeAnalyzer
-
-一个基于 Streamlit 的交通安全分析系统，支持事故数据分析、预测模型、异常检测和策略评估。
-
-## 功能
-
-- 加载和清洗事故与策略数据（Excel 格式）
-- 使用 ARIMA、KNN、GLM、SVR 等模型预测事故趋势
-- 检测异常事故点
-- 评估交通策略效果并提供推荐
-
-## 安装步骤
-
-### 前提条件
-
-- Python 3.8+
-- Git
-- 可选：Docker（用于容器化部署）
-
-### 安装
-
-1. 克隆仓库：
-
-```bash
-git clone https://github.com/tongnian0613/TrafficSafeAnalyzer.git
-cd TrafficSafeAnalyzer
-```
-
-2. 创建虚拟环境（推荐）：
-
-```bash
-conda create -n trafficsa python=3.12 -y
-conda activate trafficsa
-pip install -r requirements.txt
-streamlit run app.py
-```
-
-3. 安装依赖：
-
-   (1) 基本安装（必需依赖）
-
-   ```bash
-   pip install streamlit pandas numpy matplotlib plotly scikit-learn statsmodels scipy
-   ```
-
-   (2) 完整安装（包含所有可选依赖）
-
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-   (3) 或者手动安装可选依赖
-
-   ```bash
-   pip install streamlit-autorefresh openpyxl xlrd cryptography
-   ```
-
-   (4) 运行应用：
-
-      ```bash
-      streamlit run app.py
-      ```
-
-## 依赖项
-
-列于 `requirements.txt`：
-
-```txt
-streamlit>=1.20.0
-pandas>=1.3.0
-numpy>=1.21.0
-matplotlib>=3.4.0
-plotly>=5.0.0
-scikit-learn>=1.0.0
-statsmodels>=0.13.0
-scipy>=1.7.0
-streamlit-autorefresh>=0.1.5
-python-dateutil>=2.8.2
-pytz>=2021.3
-openpyxl>=3.0.9
-xlrd>=2.0.1
-cryptography>=3.4.7
-openai>=2.0.0
-```
-
-## 配置参数
-
-- **数据文件**：上传事故数据（`accident_file`）和策略数据（`strategy_file`），格式为 Excel
-- **环境变量**（可选）：
-  - `LOG_LEVEL=DEBUG`：启用详细日志
-  - 示例：`export LOG_LEVEL=DEBUG`（Linux/macOS）或 `set LOG_LEVEL=DEBUG`（Windows）
-
-## 输入输出格式
-
-### 输入
-- **事故数据 Excel**：需包含 `事故时间`、`所在街道`、`事故类型` 列
-- **策略数据 Excel**：需包含 `发布时间`、`交通策略类型` 列
-
-### 输出
-- **预测结果**：CSV 文件（例如 `arima_forecast.csv`）
-- **图表**：HTML 文件（例如 `overview_series.html`）
-- **策略推荐**：文本文件（`recommendation.txt`）
-
-## 调用示例
-
-运行 Streamlit 应用：
-```bash
-streamlit run app.py
-```
-
-访问 http://localhost:8501，上传数据文件并交互分析。
-
-## 常见问题排查
-
-**问题**：`ModuleNotFoundError: No module named 'streamlit'`  
-**解决**：运行 `pip install -r requirements.txt` 或检查 Python 环境
-
-**问题**：数据加载失败  
-**解决**：确保 Excel 文件格式正确，检查列名是否匹配
-
-**问题**：`NameError: name 'strategy_metrics' is not defined`  
-**解决**：确保 `strategy_metrics` 函数定义在 `app.py` 中，且位于 `run_streamlit_app` 函数内
-
-## 日志分析
-
-- **日志文件**：`logs/app.log`（需在代码中配置 logging 模块）
-- **查看日志**：`tail -f logs/app.log`
-- **常见错误**：
-  - `ValueError`：检查输入数据格式
-  - `ConnectionError`：验证网络连接或文件路径
-
-## 升级说明
-
-- **当前版本**：v1.0.0
-- **升级步骤**：
-  1. 备份数据和配置文件
-  2. 拉取最新代码：`git pull origin main`
-  3. 更新依赖：`pip install -r requirements.txt --upgrade`
-  4. 重启应用：`streamlit run app.py`
-
-参考 `CHANGELOG.md` 查看版本变更详情。
-
-## 许可证
-
-MIT License - 详见 LICENSE 文件。
-
-[![GitHub license](https://img.shields.io/github/license/tongnian0613/repo)](https://github.com/tongnian0613/TrafficSafeAnalyzer/LICENSE)
-[![Build Status](https://img.shields.io/travis/username/repo)](https://travis-ci.org/tongnian0613/repo)

recommendation.txt

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-建议在全市区域长期实施策略类型 交通管制措施

requirements.txt

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-# Core dependencies
-streamlit>=1.20.0
-pandas>=1.3.0
-numpy>=1.21.0
-matplotlib>=3.4.0
-plotly>=5.0.0
-scikit-learn>=1.0.0
-statsmodels>=0.13.0
-
-# Scientific computing (optional but recommended)
-scipy>=1.7.0
-
-# Streamlit extensions (optional)
-streamlit-autorefresh>=0.1.5
-
-# Additional utilities
-python-dateutil>=2.8.2
-pytz>=2021.3
-
-# For data processing
-openpyxl>=3.0.9  # For Excel file support
-xlrd>=2.0.1      # For older Excel files
-
-# Security/authentication
-cryptography>=3.4.7
-
-# OpenAI
-openai
-
-# Note: hashlib and json are part of Python standard library
-# Note: os and datetime are part of Python standard library

run_metadata.json

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-{
-  "region": "全市",
-  "date_range": [
-    "2022-01-01",
-    "2022-12-31"
-  ],
-  "strategy_filter": [],
-  "rows": 365,
-  "min_date": "2022-01-01",
-  "max_date": "2022-12-31"
-}

strategy_evaluation_results.csv

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-,effect_strength,adaptability,count_effective,severity_effective,safety_state,F1,F2,intervention_date
-交通信息预警,-8.965321179202334,-0.7855379968058066,True,False,三级,0.2463091369521552,-1.0318471337579618,2022-01-13
-交通整治活动,-2.65100612878524,-1.667254385637472,True,False,三级,0.08411173458110731,-1.7513661202185793,2022-01-11
-交通管制措施,-10.70286313762653,0.19010392243197832,True,False,三级,0.2989387495766646,-0.1088348271446863,2022-01-20
-政策制度实施,-2.6771799687750018,-5.1316650216481605,True,False,三级,0.07856225107911223,-5.2102272727272725,2022-01-06