# BtToxin Pipeline Agent Guide

## Overview

BtToxin Pipeline is an automated Bacillus thuringiensis toxin mining system. It identifies Cry toxin genes in bacterial genomes and predicts their target insects using a three-stage pipeline:
1. **Digger**: BtToxin_Digger toxin mining
2. **Shotter**: Toxin scoring and target prediction
3. **Plot**: Heatmap generation and report creation

## Tech Stack

| Layer | Technology |
|-------|------------|
| Package Manager | pixi (conda environments) |
| Pipeline | Python 3.9+ (pandas, matplotlib, seaborn) |
| Digger Tool | BtToxin_Digger (Perl, BLAST, HMMER) |
| Frontend | Vue 3 + Vite + Element Plus + vue-i18n |
| Backend | FastAPI + Uvicorn + SQLAlchemy |
| Database | PostgreSQL 15 (Metadata) + Redis 7 (Queue) |
| Result Storage | File system + 30-day retention |

## Quick Start

```bash
# 1. Clone and install dependencies
git clone <repo>
cd bttoxin-pipeline
pixi install

# 2. Start services (Production with Traefik)
# Using the unified production configuration
docker compose -f docker/compose/docker-compose.traefik.yml -p compose up -d --build

# Access:
# Frontend: https://bttiaw.hzau.edu.cn (via Traefik)
# Backend API: http://bttoxin-pipeline:8000 (Internal)

# 3. Development Mode (Local)
pixi run web-start
```
# - 上传 .fna 基因组文件
# - 配置参数
# - 点击提交
# - 自动跳转到 /{task_id} 页面
# - 页面每 3 秒自动刷新查看进度
# - 完成后点击下载结果压缩包
```

## 任务提交流程

```
1. 用户在首页上传 .fna 文件
2. 点击"提交任务"按钮
3. 后端创建任务，返回 task_id
4. 前端自动跳转到 /{task_id} 页面
5. 页面每 3 秒轮询后端获取最新状态
6. 显示：进度条、当前阶段、预计剩余时间
7. 完成后显示"下载分析结果"按钮
8. 结果保留 30 天后自动删除
```

## Web API 接口

### 创建任务

```bash
POST /api/tasks
Content-Type: multipart/form-data

参数:
- file: .fna 文件
- min_identity: 最小相似度 (0-1, 默认: 0.8)
- min_coverage: 最小覆盖度 (0-1, 默认: 0.6)
- allow_unknown_families: 是否允许未知家族 (默认: false)
- require_index_hit: 是否需要索引命中 (默认: true)
- lang: 语言 "zh" | "en" (默认: "zh")

响应:
{
  "task_id": "uuid",
  "token": "访问令牌",
  "status": "pending",  // pending | running | completed | failed
  "created_at": "创建时间",
  "expires_at": "过期时间",
  "estimated_duration_seconds": 预估耗时(秒)
}
```

### 查询任务状态

```bash
GET /api/tasks/{task_id}

响应:
{
  "task_id": "uuid",
  "status": "running",
  "progress": 45,           // 进度百分比
  "current_stage": "shoter", // 当前阶段: digger | shoter | plots | bundle
  "submission_time": "提交时间",
  "start_time": "开始时间",
  "filename": "原始文件名",
  "error": null,            // 失败时的错误信息
  "estimated_remaining_seconds": 60  // 预估剩余时间
}
```

### 下载结果

```bash
GET /api/tasks/{task_id}/download
响应: .tar.gz 压缩包

返回文件包含:
- results/digger/         # Digger 分析结果
- results/shotter/        # Shoter 评分结果
- results/logs/           # 执行日志
- input.fna               # 原始输入文件
```

### 删除任务

```bash
DELETE /api/tasks/{task_id}
```

## Project Structure

```
bttoxin-pipeline/
├── pixi.toml                    # Pixi environment configuration
├── pyproject.toml               # Python package configuration
├── scripts/
│   ├── run_single_fna_pipeline.py    # Main orchestrator
│   ├── run_digger_stage.py           # Digger-only stage
│   ├── bttoxin_shoter.py             # Toxin scoring module
│   ├── plot_shotter.py               # Visualization & reporting
│   ├── start_web.sh                  # Start both frontend + backend
│   └── pixi_runner.py                # PixiRunner abstraction
├── bttoxin/                     # Python CLI package
│   ├── api.py                   # Python API
│   ├── cli.py                   # CLI entry point
│   └── __init__.py
├── web/backend/                 # FastAPI backend
│   ├── main.py                  # FastAPI app entry + API endpoints
│   ├── config.py                # Configuration
│   ├── models.py                # Data models
│   ├── storage.py               # Redis + file storage
│   ├── tasks.py                 # Task execution logic
│   └── AGENTS.md                # Backend-specific guide
├── frontend/                    # Vue 3 frontend
│   ├── src/
│   │   ├── api/task.ts          # Task API client
│   │   ├── views/
│   │   │   ├── TaskSubmitView.vue    # Task submission page
│   │   │   └── TaskMonitorView.vue   # Task status page (polling)
│   │   ├── types/task.ts        # Task types
│   │   └── ...
│   └── AGENTS.md                # Frontend-specific guide
├── Data/                        # Reference data
│   └── toxicity-data.csv        # BPPRC specificity data
├── external_dbs/                # Optional external database
│   └── bt_toxin/                # Updated BtToxin database
├── tools/                       # Utility tools and environments
│   └── reproduction/            # Reproduction environments
│       └── bttoxin_digger/      # BtToxin_Digger reproduction env
├── tests/                       # Test suite
│   ├── test_pixi_runner.py      # Property-based tests
│   └── test_data/               # Test input files (.fna)
└── docs/                        # Documentation
```

## Web API Endpoints

### Create Task

```bash
POST /api/tasks
Content-Type: multipart/form-data

Parameters:
- file: .fna file
- min_identity: float (0-1, default: 0.8)
- min_coverage: float (0-1, default: 0.6)
- allow_unknown_families: boolean (default: false)
- require_index_hit: boolean (default: true)
- lang: "zh" | "en" (default: "zh") - *Now supported via Accept-Language header*

Response:
{
  "task_id": "uuid",
  "token": "access_token",
  "status": "pending",
  "created_at": "2024-01-01T00:00:00",
  "expires_at": "2024-01-31T00:00:00",
  "estimated_duration_seconds": 120
}
```

### Get Task Status

```bash
GET /api/tasks/{task_id}

Response:
{
  "task_id": "uuid",
  "status": "running",
  "progress": 45,
  "current_stage": "shoter",
  "submission_time": "2024-01-01T00:00:00",
  "start_time": "2024-01-01T00:00:10",
  "filename": "sample.fna",
  "error": null,
  "estimated_remaining_seconds": 60
}
```

### Download Result

```bash
GET /api/tasks/{task_id}/download
Response: .tar.gz file
```

### Delete Task

```bash
DELETE /api/tasks/{task_id}
```

## Development Commands

### Via pixi (Recommended)

```bash
# Full pipeline (uses pipeline environment)
pixi run -e pipeline pipeline --fna <file.fna>

# Individual stages
pixi run -e pipeline digger-only --fna <file.fna>
pixi run -e pipeline shotter --all_toxins <path>
pixi run -e pipeline plot --strain_scores <path>

# Frontend
pixi run fe-install
pixi run fe-dev          # http://localhost:5173
pixi run fe-build

# Backend
pixi run api-dev         # http://localhost:8000
pixi run api-test

# Combined (both frontend + backend)
pixi run web-start

# Tests
pixi run -e pipeline python -m pytest tests/test_pixi_runner.py -v
```

### Direct Commands

```bash
# Frontend (in frontend/ directory)
pnpm install
pnpm dev --host

# Backend (in project root)
uvicorn web.backend.main:app --reload --host 0.0.0.0 --port 8000

# Pipeline (requires pipeline environment activation)
source ~/.pixi/bin/pixi shell-hook -e pipeline > /tmp/activate.sh
source /tmp/activate.sh
python scripts/run_single_fna_pipeline.py --fna <file>
```

## Docker Deployment

```bash
# Build and run with docker-compose
docker-compose -f docker-compose.simple.yml up -d

# Access at http://localhost:80
# API health check: http://localhost:80/api/health
```

### Docker Architecture

```
bttoxin-pipeline (Stack)
├── traefik (reverse proxy, port 80/443)
├── bttoxin-pipeline (FastAPI + Static Files, port 8000)
├── bttoxin-postgres (Database, port 5432)
└── bttoxin-redis (Task Queue, port 6379)
```

### Docker Volume Mounts

| Host Path | Container Path | Purpose |
|-----------|----------------|---------|
| `./jobs` | `/app/jobs` | Task results |
| `postgres_data` | `/var/lib/postgresql/data` | Database persistence |
| ... | ... | Source code mounts (dev) |

## Task Flow

```
1. User uploads .fna file via web UI
2. Backend creates task directory: /data/jobs/{task_id}/ (or ./jobs/ in dev)
3. Backend saves input file and parameters
4. Backend starts `pixi run -e pipeline pipeline` in background (asyncio subprocess)
5. Frontend polls GET /api/tasks/{task_id} every 3 seconds
6. On completion, download URL is provided
7. Results available for 30 days, then auto-cleanup
```

## Result Storage

```
./jobs/{task_id}/                    # Or /app/jobs/ in Docker
├── input.fna                        # Uploaded file
├── params.json                      # Task parameters
├── task_meta.json                   # Task metadata (status, progress, etc.)
├── output/                          # Pipeline output
│   ├── digger/                      # BtToxin_Digger results
│   │   ├── Results/Toxins/
│   │   │   └── All_Toxins.txt       # Toxin hits (input to shotter)
│   │   └── ...
│   ├── shotter/                     # Shoter scoring results
│   │   ├── toxin_support.tsv
│   │   ├── strain_target_scores.tsv
│   │   └── strain_scores.json
│   └── logs/
└── pipeline_results.tar.gz          # Downloadable bundle
```

## Common Tasks

### Adding a New Pipeline Stage

1. Create script in `scripts/`
2. Add to `run_single_fna_pipeline.py` orchestration
3. Register task in `pixi.toml` if standalone execution needed
4. Add stage definition to `frontend/src/types/task.ts`

### Modifying Task Parameters

1. Update `TaskFormData` interface in `frontend/src/components/task/TaskSubmitForm.vue`
2. Update API endpoint in `web/backend/main.py`
3. Update task execution in `web/backend/tasks.py`

### Configuring Storage Location

```bash
# Set custom jobs directory
export JOBS_DIR=/path/to/jobs

# Or modify pixi.toml [feature.webbackend.env] section
```

## Configuration

### Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `VITE_API_BASE_URL` | Frontend API URL (production) | "" (uses relative path) |
| `JOBS_DIR` | Task storage directory | ./jobs |
| `DEBUG` | Enable debug mode | false |

### Key Files Modified (Recent Fixes)

| File | Change |
|------|--------|
| `scripts/bttoxin_shoter.py` | Added `engine="python"` for pandas 2.x compatibility; Added empty DataFrame handling |
| `scripts/run_single_fna_pipeline.py` | Fixed `pixi_runner` import with `sys.path.insert()` |
| `web/backend/tasks.py` | Changed to `pixi run -e pipeline pipeline` command |
| `entrypoint.sh` | Fixed nginx `proxy_pass` to preserve `/api/` prefix |
| `docker-compose.simple.yml` | Docker deployment configuration |

### Constraints

Defined in `web/backend/config.py`:
- Max upload size: 50 MB
- Result retention: 30 days
- Task timeout: 6 hours
- Allowed extensions: .fna, .fa, .fasta

## Testing

### Python Tests

```bash
# Property-based tests for pipeline
pixi run -e pipeline python -m pytest tests/test_pixi_runner.py -v

# Backend tests
pixi run api-test
```

### Frontend Tests

```bash
pixi run fe-test
# or
cd frontend && pnpm test:unit
```

## Database Update

```bash
mkdir -p external_dbs
git clone --filter=blob:none --no-checkout \
  https://github.com/liaochenlanruo/BtToxin_Digger.git tmp_bttoxin_repo
cd tmp_bttoxin_repo
git sparse-checkout init --cone
git sparse-checkout set BTTCMP_db/bt_toxin
git checkout master
cd ..
cp -a tmp_bttoxin_repo/BTTCMP_db/bt_toxin external_dbs/bt_toxin
rm -rf tmp_bttoxin_repo
```

## Subproject Guides

- **Frontend**: See [`frontend/AGENTS.md`](frontend/AGENTS.md)
- **Backend**: See [`web/backend/AGENTS.md`](web/backend/AGENTS.md)
- **API Documentation**: http://localhost:8000/api/docs (when DEBUG=true)

## Troubleshooting

### Common Issues

| Issue | Solution |
|-------|----------|
| pixi not found | `export PATH="$HOME/.pixi/bin:$PATH"` |
| Environment not found | `pixi install` |
| BtToxin_Digger unavailable | `pixi run -e digger BtToxin_Digger --help` |
| Permission denied | Ensure write access to `/data/jobs` |
| Task not found | Check task_id in URL and response |
| Results expired | Results auto-delete after 30 days |
| Nginx 404 on API | Check `proxy_pass http://127.0.0.1:8000/api/` (note trailing `/api/`) |
| KeyError: 'Strain' | Empty DataFrame after filters - shotter now handles this gracefully |
| Pandas engine error | Use `engine="python"` in `pd.read_csv()` for pandas 2.x |

### Debugging Pipeline Issues

```bash
# Check if task was created
curl http://localhost:80/api/tasks/{task_id}

# View task logs
cat jobs/{task_id}/output/logs/digger_execution.log

# Check All_Toxins.txt format
head -1 jobs/{task_id}/output/digger/Results/Toxins/All_Toxins.txt

# Test shotter independently
pixi run -e pipeline python scripts/bttoxin_shoter.py \
  --all_toxins jobs/{task_id}/output/digger/Results/Toxins/All_Toxins.txt \
  --output_dir /tmp/test_output
```

### Docker-Specific Issues

```bash
# Check container health
docker ps
docker logs bttoxin-pipeline

# Check nginx config
docker exec bttoxin-pipeline nginx -T

# Verify backend is running
docker exec bttoxin-pipeline curl http://127.0.0.1:8000/api/health
```

### Post-Mortem: Startup Failures & 404/403 Errors (2026-01 Update)

**Symptoms:**
- Website returns 404 Not Found or 403 Forbidden.
- Container stuck in `Restarting` loop.
- Logs show `exec: "uvicorn": executable file not found`.

**Root Causes & Solutions:**

1.  **Missing Environment Config**:
    - **Cause**: `pixi.toml` and `pixi.lock` were missing in the final Docker image phase.
    - **Fix**: Ensure `COPY --from=builder /app/pixi.toml ...` is present in Dockerfile.

2.  **Port Conflict**:
    - **Cause**: `docker-compose.yml` mapped `80:80` while Traefik already occupied port 80.
    - **Fix**: Remove `ports` mapping in compose file; rely on Docker internal network (`frontend`) and Traefik labels.

3.  **Frontend Permissions**:
    - **Cause**: Built frontend files owned by root were not readable by Nginx user.
    - **Fix**: Add `RUN chmod -R 755 /var/www/html` in Dockerfile.

4.  **Health Check Path**:
    - **Cause**: Nginx routed `/health` to `/api/health` but backend expected `/health`.
    - **Fix**: Update Nginx config to proxy pass to correct endpoint.

### Post-Mortem: Consistency Refactoring & Fixes (2026-01-20 Update)

**Summary:**
Major refactoring to ensure consistency between script execution and web pipeline, fix severe container startup failures, and simplify user experience.

**1. Unified Pipeline Execution**
- **Problem**: Web backend manually orchestrated pipeline steps, leading to discrepancies with the standalone script (e.g., missing plots, different file formats).
- **Fix**: Refactored `backend/app/workers/tasks.py` to directly subprocess `scripts/run_single_fna_pipeline.py`.
- **Result**: Web output is now guaranteed identical to manual script execution.

**2. Result Format & Cleanup**
- **Change**: Switched output format from `.tar.gz` to `.zip`.
- **Feature**: Added automatic cleanup of intermediate directories (`digger/`, `shoter/`) to save disk space; only the final ZIP and logs are retained.
- **Frontend**: Updated download logic to handle `.zip` files.

**3. Frontend Simplification**
- **Change**: Removed CRISPR Fusion UI elements (beta feature) to reduce complexity.
- **Change**: Replaced complex multi-stage status indicators with a "Simulated Progress Bar" for better UX during black-box script execution.
- **Fix**: Restored "One-click load" button and fixed TypeScript build errors caused by removed variables.

**4. Critical Docker Fixes**
- **Fix (Restart Loop)**: Removed incorrect `image: postgres` directive in `docker-compose.yml` that caused the web service to run database software instead of the app.
- **Fix (Env Path)**: Updated `.dockerignore` to exclude host `.pixi` directory, preventing "bad interpreter" errors caused by hardcoded host paths in the container.
- **Fix (404 Error)**: Removed erroneous `rm -rf /app/frontend` in Dockerfile that was accidentally deleting built frontend assets.
- **Optimization**: Configured `npmmirror` registry to resolve build timeouts in CN network environments.