SWAT-Copilot Project Summary

This document provides an overview of the complete SWAT-Copilot MCP server implementation.

🎯 Project Overview

SWAT-Copilot is a Model Context Protocol (MCP) server that enables AI assistants to interact with SWAT (Soil and Water Assessment Tool) model projects. It provides tools for:

Finding and loading SWAT projects
Reading and parsing model inputs/outputs
Performing hydrological analysis
Generating visualizations
Answering questions about model results

📁 Complete File Structure

SWAT-Copilot/
├── src/swat_copilot/
│   ├── __init__.py                          # Package initialization
│   ├── __main__.py                          # CLI entry point
│   │
│   ├── config/                              # Configuration Layer
│   │   ├── __init__.py
│   │   └── settings.py                      # Environment settings with Pydantic
│   │
│   ├── core/                                # Domain Layer
│   │   ├── __init__.py
│   │   └── projects.py                      # SWATProject, SWATFile, SWATProjectLocator
│   │
│   ├── data_access/                         # Data Access Layer
│   │   ├── __init__.py
│   │   ├── readers.py                       # File readers (Output, Control, etc.)
│   │   └── schemas.py                       # Data schemas (OutputData, WaterBalance)
│   │
│   ├── services/                            # Service Layer
│   │   ├── __init__.py
│   │   ├── project_manager.py               # Project lifecycle management
│   │   ├── summary.py                       # Summary generation
│   │   └── analysis.py                      # Statistical analysis
│   │
│   ├── integrations/mcp/                    # MCP Server
│   │   ├── __init__.py
│   │   ├── __main__.py                      # MCP entry point
│   │   └── server.py                        # MCP server implementation (9 tools)
│   │
│   ├── api/                                 # REST API (FastAPI)
│   │   ├── __init__.py
│   │   ├── app.py                           # FastAPI application
│   │   └── routers/
│   │       ├── __init__.py
│   │       ├── health.py                    # Health check endpoints
│   │       └── summary.py                   # Analysis endpoints
│   │
│   ├── cli/                                 # CLI (Typer)
│   │   ├── __init__.py
│   │   └── app.py                           # CLI commands (find, load, summary, etc.)
│   │
│   ├── visualization/                       # Visualization Layer
│   │   ├── __init__.py
│   │   └── plots.py                         # SWATPlotter with 4 plot types
│   │
│   └── llm/                                 # LLM Integration
│       ├── __init__.py
│       ├── prompts.py                       # Prompt templates
│       └── rag.py                           # RAG system (skeleton)
│
├── docs/
│   ├── architecture.md                      # Architecture overview
│   ├── GETTING_STARTED.md                   # Getting started guide
│   └── DEVELOPMENT.md                       # Development guide
│
├── examples/
│   └── basic_usage.py                       # Python usage examples
│
├── tests/
│   └── unit/
│       └── test_version.py                  # Basic test
│
├── pyproject.toml                           # Project metadata and dependencies
├── README.md                                # Main documentation
├── README_MCP.md                            # MCP server documentation
├── .env.example                             # Environment configuration template
├── .gitignore                               # Git ignore rules
└── PROJECT_SUMMARY.md                       # This file

🔧 Key Components

1. Core Domain Models (`core/projects.py`)

Classes:

SWATFileType - Enum of SWAT file types (input/output)
SWATFile - Represents a single SWAT file
SWATProject - Complete project with all files
SWATProjectLocator - Find and scan SWAT projects

Key Features:

File type categorization (input vs output)
Project validation
Recursive project discovery
File metadata extraction

2. Data Access Layer (`data_access/`)

Readers:

SWATFileReader - Base reader class
OutputReader - Parse SWAT output files (.rch, .sub, .hru)
ControlFileReader - Parse control file (file.cio)
SubbasinFileReader - Parse subbasin files (.sub)
HRUFileReader - Parse HRU files (.hru)

Schemas:

OutputData - Base output data structure
ReachOutput - Reach-specific output
SubbasinOutput - Subbasin-specific output
HRUOutput - HRU-specific output
WaterBalanceData - Water balance components

3. Services Layer (`services/`)

ProjectManager:

Load/validate projects
Find projects in directory trees
Project info and metadata

SummarizeService:

Project summaries
Output summaries
File counts and statistics

AnalysisService:

Variable statistics (mean, std, min, max, etc.)
Time series extraction
Water balance calculation
Scenario comparison (skeleton)

4. MCP Server (`integrations/mcp/server.py`)

9 MCP Tools:

find_swat_projects - Search for SWAT projects
load_swat_project - Load a project
get_project_summary - Get project metadata
get_output_summary - Summarize outputs
get_variable_statistics - Calculate stats
get_time_series - Extract time series
calculate_water_balance - Water budget
plot_time_series - Generate time series plot
plot_comparison - Compare multiple variables

Resources:

swat://project/{name} - Project data
swat://output/{type} - Output data

5. Visualization (`visualization/plots.py`)

SWATPlotter Methods:

plot_time_series() - Time series visualization
plot_comparison() - Multi-variable comparison
plot_distribution() - Histogram
plot_scatter() - Scatter plot

All plots return base64-encoded PNG images.

6. CLI (`cli/app.py`)

Commands:

swat-copilot find - Find projects
swat-copilot load - Load a project
swat-copilot summary - Project summary
swat-copilot outputs - Output summary
swat-copilot stats - Variable statistics
swat-copilot serve-mcp - Start MCP server
swat-copilot version - Show version

7. REST API (`api/`)

Endpoints:

GET /health - Health check
POST /api/v1/projects/load - Load project
GET /api/v1/projects/find - Find projects
GET /api/v1/projects/summary - Project summary
GET /api/v1/projects/outputs/summary - Output summary
GET /api/v1/analysis/variable/statistics - Variable stats
GET /api/v1/analysis/water-balance - Water balance

📦 Dependencies

Core Dependencies

pandas - Data manipulation
numpy - Numerical operations
pydantic - Data validation
mcp - Model Context Protocol

API & CLI

fastapi - REST API framework
uvicorn - ASGI server
typer - CLI framework
rich - Terminal formatting

Visualization

matplotlib - Plotting
seaborn - Statistical visualization

Optional

openai - OpenAI integration
anthropic - Anthropic Claude integration
geopandas - Geospatial features (future)

🚀 Usage Examples

As MCP Server

# Start server
python -m swat_copilot.integrations.mcp

Configure in Claude Desktop:

{
  "mcpServers": {
    "swat-copilot": {
      "command": "python",
      "args": ["-m", "swat_copilot.integrations.mcp"]
    }
  }
}

As Python Library

from pathlib import Path
from swat_copilot.services.project_manager import ProjectManager
from swat_copilot.services.analysis import AnalysisService

# Load project
manager = ProjectManager()
project = manager.load_project(Path("/path/to/project"))

# Analyze
analyzer = AnalysisService(project)
stats = analyzer.get_variable_statistics("FLOW_OUT", "reach")
print(f"Mean streamflow: {stats['mean']:.2f} m³/s")

As CLI

# Find projects
swat-copilot find /models

# Load and analyze
swat-copilot load /models/my_watershed
swat-copilot stats FLOW_OUT --output-type reach

As REST API

# Start server
uvicorn swat_copilot.api.app:app --reload

# Access at http://localhost:8000/docs

🎨 Architecture Principles

Layered Architecture: Clear separation between domain, data access, services, and interfaces
Dependency Direction: Lower layers don't depend on higher layers
Type Safety: Full type hints throughout
Testability: Services are easily mockable
Extensibility: Easy to add new file readers, tools, or endpoints

🔍 SWAT File Types Supported

Input Files

Master Watershed (.Master.Watershed.dat)
Control File (file.cio)
Subbasin files (.sub)
HRU files (.hru)
Routing files (.rte)
Weather files (.pcp, .tmp, .slr, .hmd, .wnd)
Soil files (.sol)
Management files (.mgt)
Groundwater files (.gw)
Reservoir files (.res)
Pond files (.pnd)

Output Files

Reach outputs (output.rch)
Subbasin outputs (output.sub)
HRU outputs (output.hru)
Reservoir outputs (output.rsv)
Standard output (output.std)

🧪 Common SWAT Variables

Reach Variables

FLOW_OUT - Streamflow (m³/s)
SED_OUT - Sediment (metric tons)
ORGN_OUT - Organic nitrogen (kg N)
ORGP_OUT - Organic phosphorus (kg P)
NO3_OUT - Nitrate (kg N)
SOLP_OUT - Soluble phosphorus (kg P)

Subbasin Variables

PRECIP - Precipitation (mm)
SURQ - Surface runoff (mm)
LATQ - Lateral flow (mm)
GW_Q - Groundwater flow (mm)
ET - Evapotranspiration (mm)
PET - Potential ET (mm)

📝 Next Steps

Ready to Implement

The skeleton is complete and ready for:

Adding actual SWAT projects for testing
Implementing real file parsers (currently simplified)
Adding more analysis functions
Creating comprehensive tests
Adding calibration tools
Implementing RAG with SWAT documentation

Future Enhancements

🛠️ Development Workflow

Install: pip install -e ".[dev]"
Format: black src/ tests/
Lint: ruff check src/
Type Check: mypy src/
Test: pytest --cov
Run MCP: swat-copilot serve-mcp

📚 Documentation

README.md - Main documentation
README_MCP.md - MCP server guide
docs/GETTING_STARTED.md - Installation and basics
docs/DEVELOPMENT.md - Development guide
docs/architecture.md - Architecture overview

🎓 Learning Resources

SWAT Model: https://swat.tamu.edu/
MCP Protocol: https://modelcontextprotocol.io/
FastAPI: https://fastapi.tiangolo.com/
Typer: https://typer.tiangolo.com/

✅ What's Been Created

This repository now includes:

✅ Complete layered architecture ✅ MCP server with 9 tools ✅ REST API with FastAPI ✅ CLI with Typer ✅ Visualization system ✅ Configuration management ✅ File readers (skeleton) ✅ Analysis services ✅ LLM integration helpers ✅ Comprehensive documentation ✅ Example code ✅ Development guides ✅ Type hints throughout ✅ Proper package structure

🎉 Ready to Use

The framework is complete and ready for:

Testing with real SWAT projects
Adding specific parsers for your SWAT version
Extending with custom analysis functions
Integration with AI assistants via MCP
Building custom tools on top of the API

Just add your SWAT project data and start using!

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

SWAT-Copilot Project Summary

🎯 Project Overview

📁 Complete File Structure

🔧 Key Components

1. Core Domain Models (`core/projects.py`)

2. Data Access Layer (`data_access/`)

3. Services Layer (`services/`)

4. MCP Server (`integrations/mcp/server.py`)

5. Visualization (`visualization/plots.py`)

6. CLI (`cli/app.py`)

7. REST API (`api/`)

📦 Dependencies

Core Dependencies

API & CLI

Visualization

Optional

🚀 Usage Examples

As MCP Server

As Python Library

As CLI

As REST API

🎨 Architecture Principles

🔍 SWAT File Types Supported

Input Files

Output Files

🧪 Common SWAT Variables

Reach Variables

Subbasin Variables

📝 Next Steps

Ready to Implement

Future Enhancements

🛠️ Development Workflow

📚 Documentation

🎓 Learning Resources

✅ What's Been Created

🎉 Ready to Use

FilesExpand file tree

PROJECT_SUMMARY.md

Latest commit

History

PROJECT_SUMMARY.md

File metadata and controls

SWAT-Copilot Project Summary

🎯 Project Overview

📁 Complete File Structure

🔧 Key Components

1. Core Domain Models (core/projects.py)

2. Data Access Layer (data_access/)

3. Services Layer (services/)

4. MCP Server (integrations/mcp/server.py)

5. Visualization (visualization/plots.py)

6. CLI (cli/app.py)

7. REST API (api/)

📦 Dependencies

Core Dependencies

API & CLI

Visualization

Optional

🚀 Usage Examples

As MCP Server

As Python Library

As CLI

As REST API

🎨 Architecture Principles

🔍 SWAT File Types Supported

Input Files

Output Files

🧪 Common SWAT Variables

Reach Variables

Subbasin Variables

📝 Next Steps

Ready to Implement

Future Enhancements

🛠️ Development Workflow

📚 Documentation

🎓 Learning Resources

✅ What's Been Created

🎉 Ready to Use

1. Core Domain Models (`core/projects.py`)

2. Data Access Layer (`data_access/`)

3. Services Layer (`services/`)

4. MCP Server (`integrations/mcp/server.py`)

5. Visualization (`visualization/plots.py`)

6. CLI (`cli/app.py`)

7. REST API (`api/`)