From 09e38e7350d94aae52e49a24394bc2ae431ad075 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=BC=A0=E9=91=AB?= Date: Tue, 16 Dec 2025 11:42:36 +0800 Subject: [PATCH] Add initial project files for Soil Water Balance Model including Docker setup, deployment scripts, API implementation, and data files --- .dockerignore | 50 ++ Dockerfile | 40 + data/57278_2024.csv | 732 +++++++++++++++ data/N_organ.json | 38 + data/SOILPROP.json | 84 ++ data/forecast.csv | 732 +++++++++++++++ data/management.json | 8 + data/management_nowadays.json | 8 + data/nowadays.csv | 732 +++++++++++++++ data/para.json | 15 + data/plant_para.json | 18 + deploy.bat | 117 +++ deploy.sh | 121 +++ docker-compose.yml | 19 + main.py | 1597 +++++++++++++++++++++++++++++++++ nginx.conf | 74 ++ requirements.txt | 6 + test_api.py | 106 +++ 18 files changed, 4497 insertions(+) create mode 100644 .dockerignore create mode 100644 Dockerfile create mode 100644 data/57278_2024.csv create mode 100644 data/N_organ.json create mode 100644 data/SOILPROP.json create mode 100644 data/forecast.csv create mode 100644 data/management.json create mode 100644 data/management_nowadays.json create mode 100644 data/nowadays.csv create mode 100644 data/para.json create mode 100644 data/plant_para.json create mode 100644 deploy.bat create mode 100644 deploy.sh create mode 100644 docker-compose.yml create mode 100644 main.py create mode 100644 nginx.conf create mode 100644 requirements.txt create mode 100644 test_api.py diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..f72ab56 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,50 @@ +# Python +__pycache__/ +*.pyc +*.pyo +*.pyd +.Python +env/ +venv/ +.venv/ +pip-log.txt +pip-delete-this-directory.txt +.tox/ +.coverage +.coverage.* +.pytest_cache/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db + +# Git +.git/ +.gitignore + +# Documentation +*.md +README.md + +# Docker +Dockerfile +.dockerignore + +# Logs +*.log + +# Testing +test_*.py +*_test.py diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..b55f24d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,40 @@ +# Use Python 3.11 slim image as base +FROM python:3.11-slim + +# Set working directory +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + gcc \ + g++ \ + curl \ + && rm -rf /var/lib/apt/lists/* + +# Copy requirements first for better caching +COPY requirements.txt . + +# Install Python dependencies +RUN pip install --no-cache-dir -r requirements.txt + +# Copy application code +COPY main.py . +COPY test_api.py . + +# Copy data directory +COPY data/ ./data/ + +# Create non-root user for security +RUN useradd --create-home --shell /bin/bash app \ + && chown -R app:app /app +USER app + +# Expose port +EXPOSE 8000 + +# Health check +HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8000/health || exit 1 + +# Start the application +CMD ["python", "main.py"] diff --git a/data/57278_2024.csv b/data/57278_2024.csv new file mode 100644 index 0000000..0a2017f --- /dev/null +++ b/data/57278_2024.csv @@ -0,0 +1,732 @@ +date,Tmax,Tmin,SH,RAIN,Tmean,u2,RHave,RHmin,Atm +01/01/2023,10,-6,8.4,0,2,2.11,44.91,46.61,100.34 +01/02/2023,10,-1,5.2,0,4.5,3.21,75.64,37.06,99.83 +01/03/2023,3.7,-7,2.9,0,-1.65,3.67,43.58,30.72,99.89 +01/04/2023,2,-4.5,2.1,0,-1.25,8.7,73.46,38.99,99.84 +01/05/2023,2,-6.2,4.8,0,-2.1,1.5,46.25,44.45,100.22 +01/06/2023,4,-12,8.7,0,-4,9.73,74.55,32.31,99.34 +01/07/2023,-3,-11,8.9,0,-7,9,55.68,32.02,100.52 +01/08/2023,2,-5,9.2,0,-1.5,4.07,75.84,46.84,99.72 +01/09/2023,4,-4,8.7,0,0,6.22,60.6,47.71,100.24 +01/10/2023,4.5,-1,5.2,0,1.75,6.17,72.42,39.8,99.12 +01/11/2023,5.5,-4.2,9.2,0,0.65,3.01,68.8,30.33,100.03 +01/12/2023,14.7,-4.2,8.4,0,5.25,1.23,55.2,44.73,100.4 +01/13/2023,18,-1,8.4,0,8.5,2.51,61.63,38.44,99.77 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\ No newline at end of file diff --git a/data/management_nowadays.json b/data/management_nowadays.json new file mode 100644 index 0000000..32bdf51 --- /dev/null +++ b/data/management_nowadays.json @@ -0,0 +1,8 @@ +{ + "sowdate": "10/5/2024", + "latitude": 32, + "elevation": 100, + "seed_weight": 50, + "Nfertilizer": {"kind": "SNH4", "amount": 200, "date": "03/15/2025"}, + "irrigation": {"amount": 10, "date": "03/15/2025"} +} \ No newline at end of file diff --git a/data/nowadays.csv b/data/nowadays.csv new file mode 100644 index 0000000..6302498 --- /dev/null +++ b/data/nowadays.csv @@ -0,0 +1,732 @@ +date,Tmax,Tmin,SH,RAIN,Tmean,u2,RHave,RHmin,Atm +01/01/2024,10,-6,8.4,0,2,3.524900097,79.06894537,52.48158151,99.94065906 +01/02/2024,10,-1,5.2,0,4.5,6.014376808,69.26254324,40.75516405,99.23499436 +01/03/2024,3.7,-7,2.9,0,-1.65,1.548522359,80.30989912,42.85859497,99.61753317 +01/04/2024,2,-4.5,2.1,0,-1.25,5.605485177,85.80681821,48.8527297,100.9565193 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index 0000000..26391b9 --- /dev/null +++ b/deploy.bat @@ -0,0 +1,117 @@ +@echo off +REM Soil Water Balance Model Docker Deployment Script for Windows + +setlocal enabledelayedexpansion + +set IMAGE_NAME=soil-water-model +set CONTAINER_NAME=soil-water-model-container +set PORT=8000 + +echo 🚀 Starting Soil Water Balance Model deployment... + +REM Function to check if container is running +:check_container +docker ps -q -f name=%CONTAINER_NAME% >nul 2>&1 +if %errorlevel% equ 0 ( + echo ⚠️ Container '%CONTAINER_NAME%' is already running. + set /p choice="Do you want to stop and restart it? (y/N): " + if /i "!choice!"=="y" ( + echo 🛑 Stopping existing container... + docker stop %CONTAINER_NAME% + docker rm %CONTAINER_NAME% + ) else ( + echo ❌ Deployment cancelled. + exit /b 1 + ) +) +goto :eof + +REM Function to build image +:build_image +echo 🔨 Building Docker image... +docker build -t %IMAGE_NAME% . +if %errorlevel% neq 0 ( + echo ❌ Failed to build image + exit /b 1 +) +echo ✅ Image built successfully! +goto :eof + +REM Function to run container +:run_container +echo 🏃 Running container... +docker run -d --name %CONTAINER_NAME% -p %PORT%:8000 --restart unless-stopped %IMAGE_NAME% +if %errorlevel% neq 0 ( + echo ❌ Failed to start container + exit /b 1 +) +echo ✅ Container started successfully! +goto :eof + +REM Function to show status +:show_status +echo 📊 Container Status: +docker ps -f name=%CONTAINER_NAME% --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" + +REM Wait a moment for container to start +timeout /t 3 /nobreak >nul + +REM Test health endpoint +echo 🔍 Testing health endpoint... +curl -f http://localhost:%PORT%/health >nul 2>&1 +if %errorlevel% equ 0 ( + echo ✅ Health check passed! + echo 🌐 API is available at: http://localhost:%PORT% + echo 📚 API documentation: http://localhost:%PORT%/docs +) else ( + echo ❌ Health check failed. Container might still be starting... + echo Please wait a moment and check the logs: + echo docker logs %CONTAINER_NAME% +) +goto :eof + +REM Main deployment process +:main +call :check_container +call :build_image +call :run_container +call :show_status + +echo. +echo 🎉 Deployment completed successfully! +echo. +echo Useful commands: +echo View logs: docker logs %CONTAINER_NAME% +echo Stop container: docker stop %CONTAINER_NAME% +echo Restart container: docker restart %CONTAINER_NAME% +echo Remove container: docker rm %CONTAINER_NAME% +goto :eof + +REM Handle command line arguments +if "%1"=="build" ( + call :build_image +) else if "%1"=="run" ( + call :check_container + call :run_container + call :show_status +) else if "%1"=="stop" ( + echo 🛑 Stopping container... + docker stop %CONTAINER_NAME% 2>nul || echo Container not running +) else if "%1"=="restart" ( + echo 🔄 Restarting container... + docker restart %CONTAINER_NAME% 2>nul || (echo Container not running, starting new one... && call :run_container) + call :show_status +) else if "%1"=="logs" ( + echo 📋 Showing container logs... + docker logs -f %CONTAINER_NAME% +) else if "%1"=="status" ( + call :show_status +) else if "%1"=="clean" ( + echo 🧹 Cleaning up... + docker stop %CONTAINER_NAME% 2>nul || echo. + docker rm %CONTAINER_NAME% 2>nul || echo. + docker rmi %IMAGE_NAME% 2>nul || echo. + echo ✅ Cleanup completed! +) else ( + call :main +) diff --git a/deploy.sh b/deploy.sh new file mode 100644 index 0000000..894b3c3 --- /dev/null +++ b/deploy.sh @@ -0,0 +1,121 @@ +#!/bin/bash + +# Soil Water Balance Model Docker Deployment Script + +set -e + +IMAGE_NAME="soil-water-model" +CONTAINER_NAME="soil-water-model-container" +PORT="8000" + +echo "🚀 Starting Soil Water Balance Model deployment..." + +# Function to check if container is running +check_container() { + if docker ps -q -f name="$CONTAINER_NAME" | grep -q .; then + echo "⚠️ Container '$CONTAINER_NAME' is already running." + read -p "Do you want to stop and restart it? (y/N): " -r + if [[ $REPLY =~ ^[Yy]$ ]]; then + echo "🛑 Stopping existing container..." + docker stop "$CONTAINER_NAME" + docker rm "$CONTAINER_NAME" + else + echo "❌ Deployment cancelled." + exit 1 + fi + fi +} + +# Function to build image +build_image() { + echo "🔨 Building Docker image..." + docker build -t "$IMAGE_NAME" . + echo "✅ Image built successfully!" +} + +# Function to run container +run_container() { + echo "🏃 Running container..." + docker run -d \ + --name "$CONTAINER_NAME" \ + -p "$PORT:8000" \ + --restart unless-stopped \ + "$IMAGE_NAME" + echo "✅ Container started successfully!" +} + +# Function to show status +show_status() { + echo "📊 Container Status:" + docker ps -f name="$CONTAINER_NAME" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}" + + # Wait a moment for container to start + sleep 3 + + # Test health endpoint + echo "🔍 Testing health endpoint..." + if curl -f http://localhost:"$PORT"/health > /dev/null 2>&1; then + echo "✅ Health check passed!" + echo "🌐 API is available at: http://localhost:$PORT" + echo "📚 API documentation: http://localhost:$PORT/docs" + else + echo "❌ Health check failed. Container might still be starting..." + echo " Please wait a moment and check the logs:" + echo " docker logs $CONTAINER_NAME" + fi +} + +# Main deployment process +main() { + check_container + build_image + run_container + show_status + + echo "" + echo "🎉 Deployment completed successfully!" + echo "" + echo "Useful commands:" + echo " View logs: docker logs $CONTAINER_NAME" + echo " Stop container: docker stop $CONTAINER_NAME" + echo " Restart container: docker restart $CONTAINER_NAME" + echo " Remove container: docker rm $CONTAINER_NAME" +} + +# Handle command line arguments +case "${1:-}" in + "build") + build_image + ;; + "run") + check_container + run_container + show_status + ;; + "stop") + echo "🛑 Stopping container..." + docker stop "$CONTAINER_NAME" 2>/dev/null || echo "Container not running" + ;; + "restart") + echo "🔄 Restarting container..." + docker restart "$CONTAINER_NAME" 2>/dev/null || (echo "Container not running, starting new one..." && run_container) + show_status + ;; + "logs") + echo "📋 Showing container logs..." + docker logs -f "$CONTAINER_NAME" + ;; + "status") + show_status + ;; + "clean") + echo "🧹 Cleaning up..." + docker stop "$CONTAINER_NAME" 2>/dev/null || true + docker rm "$CONTAINER_NAME" 2>/dev/null || true + docker rmi "$IMAGE_NAME" 2>/dev/null || true + echo "✅ Cleanup completed!" + ;; + *) + main + ;; +esac diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..744cefe --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,19 @@ +version: '3.8' + +services: + soil-water-model: + build: . + ports: + - "8000:8000" + environment: + - PYTHONUNBUFFERED=1 + restart: unless-stopped + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/health"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 40s + volumes: + # Optional: Mount data directory for live updates (development only) + - ./data:/app/data:ro diff --git a/main.py b/main.py new file mode 100644 index 0000000..a2ab11d --- /dev/null +++ b/main.py @@ -0,0 +1,1597 @@ +### Y/M/D 2025/02/28_Beta_hqw +### This function is to calculate Si module of soil water balance. # 根系吸水量。 + +import datetime +import json +import math +from dataclasses import dataclass +from typing import Any, Dict, List, Tuple + +import numpy as np +import pandas as pd +import uvicorn +from fastapi import FastAPI, File, HTTPException, UploadFile +from pydantic import BaseModel + + +class DateUtils: + @staticmethod + def cal_Doy(date: str) -> int: + """计算日序""" + try: + month, day, year = map(int, date.split('/')) + date_obj = datetime.date(year, month, day) + return int(date_obj.strftime('%j')) + except (ValueError, IndexError): + raise ValueError(f"日期格式错误: {date}") + + @staticmethod + def cal_DayLength(date: str, latitude: float) -> float: + """计算日长""" + day_of_year = DateUtils.cal_Doy(date) + RAD = math.pi / 180.0 + DEC = -math.asin(math.sin(23.45 * RAD) * math.cos(2.0 * math.pi * (day_of_year + 10.0) / 365.0)) + dSINLD = math.sin(RAD * latitude) * math.sin(DEC) + dCOSLD = math.cos(RAD * latitude) * math.cos(DEC) + dCOSLD = dCOSLD if dCOSLD != 0.0 else 0.001 + SSCC = dSINLD / dCOSLD + return 12.0 * (1.0 + 2.0 * math.asin(SSCC) / math.pi) + +class TemperatureUtils: + @staticmethod + def get_hourly_temps(min_temperature: float, max_temperature: float) -> list: + """获取逐时温度""" + if min_temperature > max_temperature: + raise ValueError("温度参数错误") + return [(max_temperature + min_temperature)/2 + + (max_temperature - min_temperature)*math.cos(0.2618*(i-14))/2 + for i in range(1, 25)] + + @staticmethod + def get_day_temps(min_temperature: float, max_temperature: float) -> float: + """获取白天平均温度""" + if min_temperature > max_temperature: + raise ValueError("温度参数错误") + else: + T5 = [] + for i in range(1, 9): + # print(i) + if i == 4 or i == 5 or i == 6: + continue + else: + Tfac = 0.9310 + 0.1140 * i - 0.0703 * i ** 2 + 0.0053 * i ** 3 + # print(format(min_temperature + Tfac * (max_temperature - min_temperature), '.4f')) + T5.append(format(min_temperature + Tfac * (max_temperature - min_temperature), '.4f')) + T5 = [float(x) for x in T5] + average_Tday = np.mean(T5) + return average_Tday + + @staticmethod + def dailyGDD(Tmax: float, Tmin: float, Tb: float, Tm: float) -> float: + """计算日有效积温""" + Tmean = (Tmax + Tmin) / 2 + Tmean = max(min(Tmean, Tm), Tb) + return Tmean - Tb + +class VernalizationCalculator: + @staticmethod + def cal_DVE(PVT: float, VD: float, min_temp: float, max_temp: float) -> float: + """春化效应计算""" + T24 = TemperatureUtils.get_hourly_temps(min_temp, max_temp) + Tbv = -PVT / 12 + Tol = 5 - PVT / 12 + Tou = 10 - PVT / 12 + Tmv = 20 - PVT / 6 + vef = 1 / (2 - 0.0167 * PVT) + + sum_RVE = sum_DDVE = 0 + for Ti in T24: + # 春化效应计算 + if Ti <= Tbv or Ti >= Tmv: + RVEi = 0 + elif Tbv < Ti < Tol: + RVEi = math.sin((Ti-Tbv)/(Tol-Tbv)*math.pi/2)**0.5 + elif Tol <= Ti <= Tou: + RVEi = 1 + else: + RVEi = math.sin((Ti-Tou)/(Tmv-Tou)*math.pi/2)**vef + sum_RVE += RVEi + + # 反春化效应计算 + sum_DDVE += 0.5*(Ti-27) if Ti > 27 else 0 + + DVE = sum_RVE / 24 + DDVE = sum_DDVE / 24 + + if VD < 0.3*PVT: + return DVE - DDVE + elif 0.3*PVT <= VD <= PVT: + return DVE + return 0 + + +class PhotoperiodCalculator: + @staticmethod + def cal_DPE(date: str, latitude: float, P: float, PS: float) -> float: + """光周期效应计算""" + DL = DateUtils.cal_DayLength(date, latitude) + return max(0, 2/(1 + math.exp(PS*(P - DL)))) + +class StressCalculator: + def __init__(self, plant_params: dict): + self.plant_params = plant_params + + def _init_parameters(self): + """参数初始化""" + # 物候阶段阈值 + self.PDT_EM = self.plant_params['1.1'] + self.PDT_BT = self.plant_params['1.5'] + self.PDT_SF = self.plant_params['2.2'] + self.PDT_EF = self.plant_params['2.4'] + self.PDT_MT = self.plant_params['3.0'] + + + @staticmethod + def temperature_stress(Tmin: float, Tmax: float) -> float: + """温度胁迫""" + Tmn = 0 + Tpl = 20 + Tpu = 25 + Tmx = 35 + + Tmean = (Tmax + Tmin) / 2 + if Tmn <= Tmean <= Tpl: + TE = math.sin((Tmean - Tmn) / (Tpl - Tmn) * math.pi / 2) + elif Tpl < Tmean <= Tpu: + TE = 1 + elif Tpu < Tmean <= Tmx: + TE = math.sin((Tmx - Tmean) / (Tmx - Tpu) * math.pi / 2) + else: + TE = 0 + + return TE + + + def age_stress(self, current_pdt: float): + """生理年龄胁迫""" + # 计算生理年龄胁迫因子 + if current_pdt <= self.PDT_SF: + FAL = 1.0 + else: + FAL = 1 - 0.013 * (current_pdt - self.PDT_SF) + + if current_pdt <= self.PDT_EF: + FAP = 1.0 + else: + FAP = 1 - 1 / 48 * (current_pdt - self.PDT_EF) + + return FAL, FAP + + @staticmethod + def co2_stress(cx: float) -> float: + """二氧化碳浓度胁迫 + :param Cx: 实际CO2浓度，ppm + :return: + FCO2, CO2影响因子 + """ + FCO2 = 1 + 0.8 * math.log(cx / 340) + + return FCO2 + + @staticmethod + def NNI_stress(TOPWT: float, NA: float) -> float: + """N浓度胁迫 + :param TOPWT: 地上部干物质量，kg/ha + :param NA: 地上部组织中的实际氮浓度, % + :return: + NNI, 氮素营养指数 + """ + DM = TOPWT / 1000 # 地上部干重单位换算成 t/ha + if DM >= 0.88: + NC = 4.48 * DM ** (-0.25) + else: + NC = 4.63 + + NNI = NA / NC + + return NNI + + @staticmethod + def WDF_stress(ETcadj: float, ETo: float) -> float: + """ + :param ETcadj: 实际蒸散量，mm + :param ETo: 潜在蒸散量，mm + :return: + WDF，水分亏缺因子""" + WDF = ETcadj / ETo + + return WDF + +class FlowerAreaIndex: + def __init__(self, DW_onset_flower: float, FlowerArea: float = 1.99): + """ + 花面积指数(FAI)计算模型 + + :param DW_onset_flower : float - 初花期地上部干物重 (kg hm⁻²) + :param FlowerArea : float, optional - 单花面积 (cm²)，默认1.99 + """ + # 品种参数 + self.FlowerArea = FlowerArea + + # 计算开花速率 + self.Flowerrate = 41.5 * DW_onset_flower + + # 状态变量初始化 + self.FlowerNum = 0.0 # 当前花朵总数 + self.flower_queue = [] # 花朵开放队列 (剩余积温, 花朵数量) + + + def _calc_senescence(self, Tmean: float) -> float: + """计算当日凋谢花朵数""" + senesced = 0.0 + remaining_flowers = [] + + for batch in self.flower_queue: + batch["remaining"] -= Tmean + if batch["remaining"] <= 0: + senesced += batch["amount"] + else: + remaining_flowers.append(batch) + + self.flower_queue = remaining_flowers + return senesced + + + def daily_step(self, Tmean: float) -> float: + """ + 执行单日计算 + + :param Tmean : float - 当日平均温度(℃) + :param date : str, optional - 日期字符串,月/日/年 + + """ + # 当日新开花朵数 + new_flowers = self.Flowerrate * Tmean + + # 将新花朵加入追踪队列 + self.flower_queue.append({"remaining": 100.0, "amount": new_flowers}) + + # 计算当日凋谢花朵数 + senesced = self._calc_senescence(Tmean) + # 更新花朵总数 + self.FlowerNum += new_flowers - senesced + + # 计算花面积指数 + FAI = self.FlowerNum * self.FlowerArea + + return FAI + + +@dataclass +class GaussianCoefficients: + """高斯积分系数容器""" + nodes: Tuple[float, ...] + weights: Tuple[float, ...] + +class PhotosynthesisSimulator: + # 高斯积分系数 + TIME_GAUSS = GaussianCoefficients( + nodes=(0.112702, 0.500000, 0.887298), + weights=(0.277778, 0.444444, 0.277778) + ) + + LAYER_GAUSS = GaussianCoefficients( + nodes=(0.0469101, 0.2307534, 0.5000000, 0.7691465, 0.9530899), + weights=(0.1184635, 0.2393144, 0.2844444, 0.2393144, 0.1184635) + ) + def __init__(self, latitude: float, SH: float, PDT_BT: float, PDT_EF: float): + self.latitude = latitude + self.SH = SH + self.PDT_BT = PDT_BT + self.PDT_EF = PDT_EF + + def _cal_PARCAN(self, current_date: datetime) -> float: + """计算冠层光合有效辐射PARCAN""" + RAD = math.pi / 180.0 + Gsc = 1367 + + # 日地距离系数计算 + dr = 1 + 0.033 * math.cos(2 * math.pi * DateUtils.cal_Doy(current_date) / 365) + + # 太阳赤纬计算 + delta = 0.409 * math.sin(2 * math.pi * DateUtils.cal_Doy(current_date) / 365 - 1.39) + + # 太阳时角计算 + ws = math.acos(-math.tan(self.latitude * RAD) * math.tan(delta)) + + # 天文辐射计算 + Q = (Gsc / math.pi * dr * + (ws * math.sin(self.latitude * RAD) * math.sin(delta) + + math.sin(ws) * math.cos(self.latitude * RAD) * math.cos(delta))) + + # 日长计算 + DL = DateUtils.cal_DayLength(current_date, self.latitude) + + # PAR计算 + PARCAN = (0.23 + 0.48 * self.SH / DL) * Q + return PARCAN + + def _cal_DTGA(self, current_date: datetime, GAI: float, PAR: float, + kx: float, px: float, PLMX: float) -> float: + """ + 计算每日光合同化物 (DTGA) + + :param current_date: 当前日期 + :param GAI: 绿色面积指数 (叶/角果面积指数) + :param PAR: 光合有效辐射 + :param kx: 消光系数 + :param px: 反射率 + :param PLMX: 最大光合速率 + """ + RAD = math.pi / 180.0 + + # 计算太阳赤纬 + delta = 0.409 * math.sin(2 * math.pi * DateUtils.cal_Doy(current_date) / 365 - 1.39) + + # 太阳位置参数 + SSIN = math.sin(self.latitude * RAD) * math.sin(delta) + CCOS = math.cos(self.latitude * RAD) * math.cos(delta) + + # 日长计算 + DL = DateUtils.cal_DayLength(current_date, self.latitude) + + total_assimilation = 0.0 + + # 时间维度高斯积分（每日时角） + for t_node, t_weight in zip(self.TIME_GAUSS.nodes, self.TIME_GAUSS.weights): + # 将积分点转换为实际时间 + hour = 12 + 0.5 * DL * t_node + solar_angle = 2 * math.pi * (hour + 12) / 24 + # 计算瞬时太阳高度角正弦 + sin_beta = SSIN + CCOS * math.cos(solar_angle) + if sin_beta < 0: + continue # 夜间时段 + + # 冠层维度高斯积分（垂直分布） + layer_integral = 0.0 + for l_node, l_weight in zip(self.LAYER_GAUSS.nodes, self.LAYER_GAUSS.weights): + cumulative_gai = GAI * l_node + + # 光强衰减计算（比尔-朗伯定律） + light_intensity = (1 - px) * PAR * 3 * sin_beta * math.exp(-kx * cumulative_gai) # PAR偏低，加上系数 + + # 光合响应模型（非直角双曲线） + photosynthesis = PLMX * (1 - math.exp(-0.45 * light_intensity / PLMX)) + + layer_integral += photosynthesis * l_weight + + # 积分结果累加 + total_assimilation += layer_integral * t_weight + DTGA = total_assimilation * DL + return DTGA + + def Respiratory(self, FDTGA: float, Tmean: float, Tday: float) -> tuple: + """呼吸作用计算""" + RmTo = 0.15 + Q10 = 2 + To = 25 + RM = RmTo * FDTGA * Q10 ** ((Tmean - To) / 10) + RG = 0.39 * FDTGA + RpTo = 0.33 + RP = FDTGA * RpTo * Q10 ** ((Tday - To) / 10) + return (RM, RG, RP) + + def _cal_distribution(self, current_pdt: float, biomass: float) -> tuple: + """干物质分配计算""" + if current_pdt < self.PDT_BT: + PIR = (0.18 - 0.0386) * math.sin(current_pdt / self.PDT_BT * math.pi / 2) + 0.0386 + PIFP = 0 + PIF = 0 + PIL = 0.8 if current_pdt == 0 else -0.0600 * math.log(current_pdt / self.PDT_BT) + 0.22 + else: + PIR = -0.0011 * (current_pdt - self.PDT_BT) + 0.18 + PIFP = 0.54 * 0.1202 * (math.exp(0.0439 * (current_pdt - self.PDT_BT)) - 1) + PIL = -0.1454 * math.log(current_pdt / self.PDT_BT) + 0.22 + PIF = 0.05 * math.exp(-(current_pdt - self.PDT_EF) ** 2 / (9.486 ** 2)) if current_pdt <= self.PDT_EF else 0 + + PIS = 1 - PIR + PIP = PIFP - PIF + PIST = PIS - PIL - PIFP + + ROOTWT = biomass * PIR + TOPWT = biomass * PIS + WLV = TOPWT * PIL + WST = TOPWT * PIST + WAPV = TOPWT * PIP + WFL = TOPWT * PIF + + return (ROOTWT, TOPWT, WLV, WAPV, WFL, WST) + + +class BiomassModel: + def __init__(self, start: str, end: str, weather: pd.DataFrame, cultivar_params: dict, + management: dict, plant_params: dict, soil_params: dict): + self.start = start + self.end = end + self.weather = weather + self.cultivar_params = cultivar_params + self.management = management + self.plant_params = plant_params + self.soil_params = soil_params + + self._parse_dates() + self._init_parameters() + + def _parse_dates(self): + """日期解析""" + def parse_date(date_str): + return datetime.date(*map(int, (date_str.split('/')[-1], + date_str.split('/')[0], + date_str.split('/')[1]))) + + self.sow_date = parse_date(self.management['sowdate']) + self.start_date = parse_date(self.start) + self.end_date = parse_date(self.end) + self.latitude = self.management['latitude'] + self.seed_weight = self.management['seed_weight'] + + def _init_parameters(self): + """参数初始化""" + self.P = self.cultivar_params['P'] + self.PS = self.cultivar_params['PS'] + self.TS = self.cultivar_params['TS'] + self.PVT = self.cultivar_params['PVT'] + self.FDF = self.cultivar_params['FDF'] + self.PLMXp = self.cultivar_params['PLMXp'] + self.PLMXl = self.cultivar_params['PLMXl'] + self.SLA = self.cultivar_params['SLA'] + self.SPA = self.cultivar_params['SPA'] + self.pp = self.plant_params['pp'] + self.pl = self.plant_params['pl'] + self.kp = self.plant_params['kp'] + self.kl = self.plant_params['kl'] + self.RTGR = self.plant_params['RTGR'] + self.RFAC1 = self.plant_params['RFAC1'] + + # 物候阶段阈值 + self.GDD_emergence = self.plant_params.get('GDD_emergence', 120) # 默认120℃·d + self.emergence_calculated = False + self.PDT_EM = self.plant_params['1.1'] + self.PDT_BT = self.plant_params['1.5'] + self.PDT_SF = self.plant_params['2.2'] + self.PDT_EF = self.plant_params['2.4'] + self.PDT_MT = self.plant_params['3.0'] + + # 温度参数 + self.Tb = self.cultivar_params['Tb'] + self.To = self.cultivar_params['To'] + self.Tm = self.cultivar_params['Tm'] + + # 土壤参数 + self.SNO3_0 = self.soil_params['SNO3_0'] + self.SNH4_0 = self.soil_params['SNH4_0'] + self.BD = self.soil_params['BD'] + self.DLAYR = self.soil_params['DLAYR'] + self.NLAYR = self.soil_params['NLAYR'] + self.DS = self.soil_params['DS'] + self.DUL = self.soil_params['DUL'] + self.SAT = self.soil_params['SAT'] + self.LL = self.soil_params['LL'] + self.PH = self.soil_params['PH'] + self.SOILC = self.soil_params['SOILC'] + self.FOM = self.soil_params['FOM'] + self.FON = self.soil_params['FON'] + self.TOTN = self.soil_params['TOTN'] + self.SW0 = self.soil_params['SW0'] + self.CLAY = self.soil_params['CLAY'] + self.CN = self.soil_params['CN'] + + def _get_temperature_parameters(self, current_pdt: float) -> tuple: + """获取当前阶段的温度参数""" + if current_pdt <= self.PDT_BT: + return self.Tb[1], self.To[1], self.Tm[1] + elif self.PDT_BT < current_pdt <= self.PDT_SF: + return self.Tb[2], self.To[2], self.Tm[2] + elif self.PDT_SF < current_pdt <= self.PDT_EF: + return self.Tb[3], self.To[3], self.Tm[3] + elif self.PDT_EF < current_pdt <= self.PDT_MT: + return self.Tb[4], self.To[4], self.Tm[4] + return self.Tb[-1], self.To[-1], self.Tm[-1] + + def _calculate_daily_effects(self, current_date: str, current_pdt: float, VD: float): + """计算每日效应值""" + # 光周期效应 + DPE = PhotoperiodCalculator.cal_DPE(current_date, self.latitude, self.P, self.PS) + + # 温度效应 + Tb, To, Tm = self._get_temperature_parameters(current_pdt) + Tmin = self.weather.loc[current_date, 'Tmin'] + Tmax = self.weather.loc[current_date, 'Tmax'] + DTE = self._calculate_DTE(Tb, To, Tm, Tmin, Tmax) + + # 春化效应 + DVE = VernalizationCalculator.cal_DVE(self.PVT, VD, Tmin, Tmax) + + return DPE, DTE, DVE + + def _calculate_DTE(self, Tb: float, To: float, Tm: float, Tmin: float, Tmax: float) -> float: + """温度效应计算""" + T24 = TemperatureUtils.get_hourly_temps(Tmin, Tmax) + total_TE = 0 + for Ti in T24: + if Ti < Tb or Ti > Tm: + TE = 0 + elif Tb <= Ti <= To: + TE = (math.sin((Ti-Tb)/(To-Tb)*math.pi/2)) ** self.TS + else: + TE = (math.sin((Tm-Ti)/(Tm-To)*math.pi/2)) ** ((Tm-To)/(To-Tb)*self.TS) + total_TE += TE + return total_TE / 24 + + def ifEmergence(self) -> str: + """判断出苗期开始时间""" + + GDD = 0 + current_date = self.sow_date + while GDD < self.GDD_emergence: + date_str = current_date.strftime("%m/%d/%Y") + try: + Tmax = self.weather.loc[date_str, 'Tmax'] + Tmin = self.weather.loc[date_str, 'Tmin'] + except KeyError: + current_date += datetime.timedelta(days=1) + continue + + # 判断是否出苗 + GDD_daily = TemperatureUtils.dailyGDD(Tmax, Tmin, + Tb=self.cultivar_params['Tb'][0],Tm=self.cultivar_params['Tm'][0]) + GDD += GDD_daily + + # 记录出苗日期 + if GDD >= self.GDD_emergence: + self.emergence_date = current_date + self.emergence_days = (current_date - self.sow_date).days + break + + current_date += datetime.timedelta(days=1) + + # 防止无限循环 + if (current_date - self.sow_date).days > 365: + self.emergence_date = None + self.emergence_days = 9999 + break + + def _cal_pdt(self, current_date: datetime.date) -> float: + """执行模拟""" + + # 阶段1：计算出苗期 + self.ifEmergence() + + # 阶段2：出苗后发育阶段 + VD = 0 # 累积春化天数 + PDT = self.PDT_EM # 从出苗开始发育 + + # 模拟循环 + delta = (current_date - self.emergence_date).days + for day in (self.emergence_date + datetime.timedelta(n) for n in range(delta + 1)): + date_str = day.strftime("%m/%d/%Y") + # 计算每日效应 + DPE, DTE, DVE = self._calculate_daily_effects(date_str, PDT, VD) + VD += DVE + + # 计算物候发育进度 + if PDT <= self.PDT_BT: + DPDT = DTE * (DPE * min(VD / self.PVT, 1) if self.PVT else DPE) + else: + DPDT = DTE * self.FDF if PDT > self.PDT_SF else DTE * DPE + + DPDT = max(0, DPDT) + + PDT += DPDT + if PDT > self.PDT_MT: + break + + return PDT + + + def daily_DRTDEP(self, current_date: str, current_pdt: float, wdf): + """计算每日增加的根系深度""" + + Tb, To, Tm = self._get_temperature_parameters(current_pdt) + Tmin = self.weather.loc[current_date, 'Tmin'] + Tmax = self.weather.loc[current_date, 'Tmax'] + + GDD = TemperatureUtils.dailyGDD(Tmax, Tmin, Tb, Tm) + DRTDEP = self.RTGR * GDD * wdf # DRTDEP(cm) + + return DRTDEP + + def RLV(self, RTDEP: float, rootwt: float): + """ + 计算单位体积土壤中根系的总长度，单位为 cm/cm3 + + :param RTDEP: 根深，单位为 cm + :param rootwt: 地下部生物量(干重)，单位为 kg 干物质/ha/d + :return: + RLV: Root Length Volume, 指单位体积土壤中根系的总长度，单位为 cm/cm3 + """ + CUMDEP = 0 + RLV_list = [] # cm/cm3 + for L in range(self.NLAYR): + DEP = min(RTDEP - CUMDEP, self.DLAYR[L]) + RLINIT = rootwt / 10000 / 10000 * 1000 * self.RFAC1 * DEP / (RTDEP) + CUMDEP += DEP + RLV = round(RLINIT / self.DLAYR[L], 3) + RLV_list.append(RLV) + + if CUMDEP > RTDEP: + break + + return RLV_list + + def biomass(self, day: datetime.date, Biomass0: float, TE: int = 0, FA: int = 0, FCO2: int = 0, NNI: int = 0, + WDF: int = 0) -> tuple: + """ + 执行模拟 + + :param TE: 温度胁迫， 0 - 无胁迫（默认），1 - 有胁迫 + :param FA: 生长年龄胁迫， 0 - 无胁迫（默认），1 - 有胁迫 + :param FCO2: CO2胁迫， 0 - 无胁迫（默认），1 - 有胁迫 + :param NNI: 氮素胁迫， 0 - 无胁迫（默认），1 - 有胁迫 + :param WDF: 水分胁迫， 0 - 无胁迫（默认），1 - 有胁迫 + """ + + # 计算出苗期，从出苗后开始发育 + self.ifEmergence() + + date_str = day.strftime("%m/%d/%Y") + try: + Tmax = self.weather.loc[date_str, 'Tmax'] + Tmin = self.weather.loc[date_str, 'Tmin'] + Tmean = (Tmax + Tmin) / 2 + SH = self.weather.loc[date_str, 'SH'] + except KeyError: + print(f"气象数据中缺少 {date_str} 的记录，跳过该天。") + + PDT = self._cal_pdt(day) + + # 开始计算 + + photo = PhotosynthesisSimulator(self.latitude, SH, self.PDT_BT, self.PDT_EF) + + # 地上部、地下部、叶片、角果、花、茎生物量 + ROOTWT, TOPWT, WLV, WAPV, WFL, WST = photo._cal_distribution(PDT, Biomass0) + + # 胁迫判断 + stess = StressCalculator(self.plant_params) + if FA == 0: + FAL, FAP = 1.0, 1.0 + else: + FAL, FAP = stess.age_stress(PDT) + + if TE == 0: + tem_stress = 1.0 + else: + tem_stress = StressCalculator.temperature_stress(Tmin, Tmax) + + if FCO2 == 0: + co2 = 1.0 + else: + co2 = StressCalculator.co2_stress(cx=340) + + if WDF == 0: + wdf = 1.0 + # else: + # wdf = StressCalculator.WDF_stress(ETcadj, ETo) + + if NNI == 0: + nni = 1.0 + # else: + # nni = StressCalculator.NNI_stress(TOPWT, NA) + + PLMXL = self.PLMXl * co2 * FAL * tem_stress * min(wdf, nni) + PLMXP = self.PLMXp * co2 * FAP * tem_stress * min(wdf, nni) + + # 花面积指数 + startflowering = False + if not startflowering and PDT >= self.PDT_SF: + OnesetFlower = WFL + startflowering = True + + if self.PDT_SF <= PDT <= self.PDT_EF: + flowermodel = FlowerAreaIndex(DW_onset_flower=OnesetFlower) + FAI = flowermodel.daily_step(Tmean) + else: + FAI = 0 + + # 叶面积指数 + if PDT <= self.PDT_BT: + SLAv = self.SLA + else: + SLAv = self.SLA * (-0.0009 * (PDT - self.PDT_BT) ** 2 + 0.0683 * (PDT - self.PDT_BT) + 1.177) + + LAI = SLAv * WLV + + # 角果面积指数 + if PDT >= self.PDT_SF: + SPAv = self.SPA * (0.00017 * (PDT - self.PDT_SF) ** 2 - 0.05554 * (PDT - self.PDT_SF) + 2.91887) + PAI = SPAv * WAPV + else: + PAI = 0 + + # 计算光合同化物 + if PDT < self.PDT_SF: + Tp = photo._cal_PARCAN(date_str) # 无角果遮挡 + else: + Tp = (1 - self.pp) * photo._cal_PARCAN(date_str) * math.exp(-self.kp * PAI) # 有角果遮挡 + + Tl = (1 - self.pl) * Tp * math.exp(-self.kl * LAI) # radiation passing through the leaves + Rl = 0.05 * Tp # leaf reflection + Rs = 0.2 * Tl # soil reflection + + if PDT >= self.PDT_SF: + PARP = (1 - self.pp) * photo._cal_PARCAN(date_str) + Rl + else: + PARP = 0 + PARL = (1 - self.pl) * Tp + Rs + + DTGAp = photo._cal_DTGA(date_str, PAI, PARP, self.kp, self.pp, PLMXP) + DTGAl = photo._cal_DTGA(date_str, LAI, PARL, self.kl, self.pl, PLMXL) + # print('DTGAp, DTGAl: ', DTGAp, DTGAl) + + FDTGA = (DTGAl + DTGAp) * min(wdf, nni) + # print('FDTGA: ', FDTGA) + + # RmTo = 0.03*WLV+0.015*WST+0.015*ROOTWT+0.01*WAPV + # print('RmTo: ', RmTo) + Tday = TemperatureUtils.get_day_temps(Tmin, Tmax) + RM, RG, RP = photo.Respiratory(FDTGA, Tmean, Tday) + # print('RM, RG, RP: ', RM, RG, RP) + + PND = FDTGA - RM - RG + # print('PND: ', PND) + + TDRW = 30 / 44 * 0.95 * PND / (1 - 0.05) + + TBiomass = TDRW + Biomass0 + + return TBiomass, LAI, TOPWT, ROOTWT + + +class SoilWaterModel: + def __init__(self, start: str, + end: str, + weather: pd.DataFrame, + cultivar_params: dict, + plant_params: dict, + soil_params: dict, + management: dict, + n_params: dict): + self.start = start + self.end = end + self.weather = weather + self.cultivar_params = cultivar_params + self.plant_params = plant_params + self.soil_params = soil_params + self.management = management + self.n_params = n_params + + self._parse_dates() + self._init_parameters() + + def _parse_dates(self): + """日期解析""" + def parse_date(date_str): + return datetime.date(*map(int, (date_str.split('/')[-1], + date_str.split('/')[0], + date_str.split('/')[1]))) + + self.sow_date = parse_date(self.management['sowdate']) + self.start_date = parse_date(self.start) + self.end_date = parse_date(self.end) + + def _init_parameters(self): + """参数初始化""" + + # 管理措施参数 + self.latitude = self.management['latitude'] + self.irrigation = self.management['irrigation'] + self.elevation = self.management['elevation'] + self.seed_weight = self.management['seed_weight'] + + # 作物参数 + self.GDD_emergence = self.plant_params.get('GDD_emergence', 120) # 默认120℃·d + self.emergence_calculated = False + self.PDT_EM = self.plant_params['1.1'] + self.PDT_BT = self.plant_params['1.5'] + self.PDT_SF = self.plant_params['2.2'] + self.PDT_EF = self.plant_params['2.4'] + self.PDT_MT = self.plant_params['3.0'] + self.RTGR = self.plant_params['RTGR'] + self.Kcbini = self.plant_params['Kcbini'] + self.Kcbmid = self.plant_params['Kcbmid'] + self.Kcbend = self.plant_params['Kcbend'] + self.h = self.plant_params['h'] + self.kl = self.plant_params['kl'] + + # 品种参数 + self.Po = self.cultivar_params['P'] + self.PS = self.cultivar_params['PS'] + self.TS = self.cultivar_params['TS'] + self.PVT = self.cultivar_params['PVT'] + self.FDF = self.cultivar_params['FDF'] + self.Tb = self.cultivar_params['Tb'] + self.To = self.cultivar_params['To'] + self.Tm = self.cultivar_params['Tm'] + + # 土壤参数 + self.SNO3_0 = self.soil_params['SNO3_0'] + self.SNH4_0 = self.soil_params['SNH4_0'] + self.BD = self.soil_params['BD'] + self.DLAYR = self.soil_params['DLAYR'] + self.NLAYR = self.soil_params['NLAYR'] + self.DS = self.soil_params['DS'] + self.DUL = self.soil_params['DUL'] + self.SAT = self.soil_params['SAT'] + self.LL = self.soil_params['LL'] + self.PH = self.soil_params['PH'] + self.SOILC = self.soil_params['SOILC'] + self.FOM = self.soil_params['FOM'] + self.FON = self.soil_params['FON'] + self.TOTN = self.soil_params['TOTN'] + self.SW0 = self.soil_params['SW0'] + self.CLAY = self.soil_params['CLAY'] + self.CN = self.soil_params['CN'] + + # 氮相关参数 + self.Nd = self.n_params['Nd'] + + def interception(self, P: float, LAI: float, Fw: float, SW0: list): + """Interception, 作物叶片截留, 单位为cm3/cm3""" + + eta = math.exp(- self.kl * LAI) + f = 0.2 # f means 0.2kg water/kg fresh weight,f为单位鲜重生物量的截留能力（0.2kg水/kg 鲜重） + intcap = (1-eta) * f * Fw/10000/10000*1000 # Fw means fresh weight of the crop,its unit is kg/ha. turns to g/cm2 ???? Fw = 地上部鲜重？ ,intercap(cm) + t = 1 # 模拟步长 + Interception = min(P, intcap/t) + if Interception <= 0: ###补充代码，避免出现截留量<0的情况 + # print('interception < 0, please check') + Interception = 0 + + return Interception, SW0 + + def runoff(self, P: float, I: float, Interception: float, SW0: list, Flood: bool=False): + """ + 计算Runoff, 地表径流量，cm + + :param Flood: 是否淹水，布尔类型，默认False + """ + SW1 = [0 for i in range(self.NLAYR)] + if Flood == True: + FldH = 4 # flooding depth, cm 水田淹水深度 + Pinf = P + I - Interception + FldH = FldH + Pinf + BundH = 30 # height of ridge, cm 田埂高 + if FldH > BundH: + Runoff = FldH - BundH #### SW会改变吗？？？？？？？？！！！！！！！！ + depth = BundH + if FldH <= BundH: + Runoff = 0 + depth = FldH + # SW = [] + for L in range(self.NLAYR): + SW1[L] = self.DUL[L] + + if Flood == False: + + # 土壤储水量 Soil storage + # SMX = 254.0 * (100.0 / CN - 1.0) # (mm) + SMX = 254.0 * (100.0 / self.CN - 1.0) / 10 #(cm) + + # 初始吸收比率 Initial abstraction ratio + # 地表径流与土壤地表两层含水量的平均值有关。Runoff is related to the average soil water content of the top two layers of soil + SWABI = 0.15 * ((self.SAT[0] - SW0[0]) / (self.SAT[0] - self.LL[0] * 0.5) + ( + self.SAT[1] - SW0[1]) / (self.SAT[1] - self.LL[1] * 0.5)) + SWABI = max(0.0, SWABI) + + # 暂不考虑土壤表层的覆盖物 + IABS = SWABI + + # WATAVL, Water available for infiltration or runoff (rainfall plus irrigation) (cm/d) + # 可用于入渗或径流的水量（= 降雨量+灌溉量）单位为cm/d，与降雨和灌溉的单位一致 + WATAVL = P + I + + # PB, Determines threshold amount of rainfall that will occur before runoff starts (mm/d) + # 确定在径流开始之前，将发生的降雨或灌溉阈值（毫米/天） + PB = WATAVL - IABS * SMX + if WATAVL > 0.001: + if PB > 0: + Runoff = PB ** 2 / (WATAVL + (1.0 - IABS) * SMX) + else: + Runoff = 0.0 + else: + Runoff = 0.0 + + for L in range(self.NLAYR): + # print(L) + if L <= 1: + SW1[L] = self.DUL[L] # 土壤前两层为饱和含水量 + else: + SW1[L] = self.SW0[L] + + return Runoff, SW1 + + def pinf(self, P: float, I: float, Interception: float, SW1: list): + """降水或灌溉的入渗，cm""" + + SWSAT =[] + # SWFC = DUL # SWFC means field water capacity,the same as DUL. + Ksw = [] + Pinf = [0 for i in range(self.NLAYR)] + SW2 = [0 for i in range(self.NLAYR)] + + # Interception = Soil_Interception.Interception(WEATHER, t, PDT, HI, TBiomass, SLA) + sum_Pinf = [0 for i in range(self.NLAYR)] + sum_Pinf[0] = P + I - Interception + # print('sum_Pinf = ',sum_Pinf) + + for L in range(self.NLAYR): + SWSAT.append(1 - self.BD[L] / 2.65) #SWSAT == SAT + # SWSAT = SAT + Ksw.append(75 * ((SWSAT[L] - self.DUL[L]) / self.DUL[L]) ** 2) #Its unit is cm/h, KSAT means Soil Saturated Hydraulic Conductivity. the same as Ksw.饱和导水率 + SW2[L] = (sum_Pinf[L]/self.DLAYR[L] + SW1[L]) + if SW2[L] < self.DUL[L]: + Pinf[L] = sum_Pinf[L] + sum_Pinf[L] = 0 + + continue + if SW2[L] == self.DUL[L]: + if L == 0: + Pinf[L] = sum_Pinf[L] + if L > 0: + sum_Pinf[L] = sum_Pinf[L - 1] + continue + if SW2[L] > self.DUL[L]: + Pinf[L] = (self.DUL[L]-SW1[L])*self.DLAYR[L] + SW2[L] = self.DUL[L] + sum_Pinf[L] = sum_Pinf[L] - Pinf[L] #sum_Pinf 表示到下一层的入渗量 + + if SW2[L] <= self.LL[L]: ###补充代码，农田的含水量始终高于萎蔫含水量，避免出现含水量为0的情况 + SW2[L] == self.LL[L] + print('SW2 < 0, please check') + + return SW2 + + def capillary_rise(self, SW2: list, water_table_presence: bool=1): + """ + 计算地下水的毛细管上升量 + + :param water_table_presence: 是否存在地下水（0，1） + :return: 地下水位对毛细管的补给量 + """ + + Soil_fshape_cr = 16.0 # 毛细管上升形状系数，用于控制毛细管上升水量的比例 + FluxOut = [0.04, 0.03, 0.02, 0.01] # 从每层流出量 + z_gw = 25 + Init_water_Adj = [0, 0, 0, 0] + + zMid_1 = np.cumsum(self.DLAYR) + zMid_2 = [item / 2 for item in self.DLAYR] + zMid = np.subtract(zMid_1, zMid_2) + + # 计算每一层的饱和导水率 (mm/day) 饱和导水率 + Ksat = [] + for ii in range(len(self.SAT)): + lmbda = 1 / ((np.log(1500) - np.log(33)) / (np.log(self.DUL[ii]) - np.log(self.LL[ii]))) + K1 = (1930 * (self.SAT[ii] - self.DUL[ii]) ** (3 - lmbda)) * 24 + Ksat.append(K1) + # print(Ksat) + + # 模块输入系数总体上bCR、aCR,需要的系数 + bCR = np.zeros(self.NLAYR) + aCR = np.zeros(self.NLAYR) + for jj in range(0, self.NLAYR): + if ( + (self.LL[jj] >= 0.04) + and (self.LL[jj] <= 0.15) + and (self.DUL[jj] >= 0.09) + and (self.DUL[jj] <= 0.28) + and (self.SAT[jj] >= 0.32) + and (self.SAT[jj] <= 0.51) + ): + # Sandy soil class + if (Ksat[jj] >= 200) and (Ksat[jj] <= 2000): + aCR[jj] = -0.3112 - (Ksat[jj] * (1e-5)) + bCR[jj] = -1.4936 + (0.2416 * np.log(Ksat[jj])) + elif Ksat[jj] < 200: + aCR[jj] = -0.3112 - (200 * (1e-5)) + bCR[jj] = -1.4936 + (0.2416 * np.log(200)) + elif Ksat[jj] > 2000: + aCR[jj] = -0.3112 - (2000 * (1e-5)) + bCR[jj] = -1.4936 + (0.2416 * np.log(2000)) + + elif ( + (self.LL[jj] >= 0.06) + and (self.LL[jj] <= 0.20) + and (self.DUL[jj] >= 0.23) + and (self.DUL[jj] <= 0.42) + and (self.SAT[jj] >= 0.42) + and (self.SAT[jj] <= 0.55) + ): + # Loamy soil class + if (Ksat[jj] >= 100) and (Ksat[jj] <= 750): + aCR[jj] = -0.4986 + (9 * (1e-5) * Ksat[jj]) + bCR[jj] = -2.132 + (0.4778 * np.log(Ksat[jj])) + elif Ksat[jj] < 100: + aCR[jj] = -0.4986 + (9 * (1e-5) * 100) + bCR[jj] = -2.132 + (0.4778 * np.log(100)) + elif Ksat[jj] > 750: + aCR[jj] = -0.4986 + (9 * (1e-5) * 750) + bCR[jj] = -2.132 + (0.4778 * np.log(750)) + + elif ( + (self.LL[jj] >= 0.16) + and (self.LL[jj] <= 0.34) + and (self.DUL[jj] >= 0.25) + and (self.DUL[jj] <= 0.45) + and (self.SAT[jj] >= 0.40) + and (self.SAT[jj] <= 0.53) + ): + # Sandy clayey soil class + if (Ksat[jj] >= 5) and (Ksat[jj] <= 150): + aCR[jj] = -0.5677 - (4 * (1e-5) * Ksat[jj]) + bCR[jj] = -3.7189 + (0.5922 * np.log(Ksat[jj])) + elif Ksat[jj] < 5: + aCR[jj] = -0.5677 - (4 * (1e-5) * 5) + bCR[jj] = -3.7189 + (0.5922 * np.log(5)) + elif Ksat[jj] > 150: + aCR[jj] = -0.5677 - (4 * (1e-5) * 150) + bCR[jj] = -3.7189 + (0.5922 * np.log(150)) + + elif ( + (self.LL[jj] >= 0.20) + and (self.LL[jj] <= 0.42) + and (self.DUL[jj] >= 0.40) + and (self.DUL[jj] <= 0.58) + and (self.SAT[jj] >= 0.49) + and (self.SAT[jj] <= 0.58) + ): + + # Silty clayey soil class + if (Ksat[jj] >= 1) and (Ksat[jj] <= 150): + # print(aCR) + aCR[jj] = -0.6366 + (8 * (1e-4) * Ksat[jj]) + bCR[jj] = -1.9165 + (0.7063 * np.log(Ksat[jj])) + elif Ksat[jj] < 1: + aCR[jj] = -0.6366 + (8 * (1e-4) * 1) + bCR[jj] = -1.9165 + (0.7063 * np.log(1)) + elif Ksat[jj] > 150: + aCR[jj] = -0.6366 + (8 * (1e-4) * 150) + bCR[jj] = -1.9165 + (0.7063 * np.log(150)) + + for i in range(len(aCR)): + aCR[i] = max(aCR[i], 0) + bCR[i] = max(bCR[i], 0) + + # print(aCR, bCR) + + ## Get groundwater table elevation on current day ## + z_gw = z_gw + + ## Calculate capillary rise ## + if water_table_presence == 0: # No water table present + # Capillary rise is zero + CrTot = 0 + elif water_table_presence == 1: # Water table present + # Get maximum capillary rise for bottom compartment + zBot = zMid_1[-1] + zBotMid = zMid[-1] + if (Ksat[-1] > 0) and (z_gw > 0) and ((z_gw - zBotMid) < 4): + if zBotMid >= z_gw: + MaxCR = 99 + else: + MaxCR = np.exp((np.log(z_gw - zBotMid) - bCR[-1]) / aCR[-1]) + if MaxCR > 99: + MaxCR = 99 + + else: + MaxCR = 0 + + + compi = self.NLAYR - 1 # 从土层最底部开始 + WCr = 0 # 毛细管上升计数器 + + Init_water = SW2 + + while (round(MaxCR * 1000) > 0) and (compi > -1) and (round(FluxOut[compi] * 1000) == 0): + # 向上运动，达到土壤表面，或遇到当天已经发生向下排水渗透的隔室，找到当前土层，计算驱动力 + if (Init_water[compi] >= self.LL[compi]) and (Soil_fshape_cr > 0): + Df = 1 - ( + ( + (Init_water[compi] - self.LL[compi]) + / (Init_water_Adj[compi] - self.LL[compi]) + ) + ** Soil_fshape_cr + ) + if Df > 1: + Df = 1 + elif Df < 0: + Df = 0 + + else: + Df = 1 + + # 计算相对水力传导系数 + thThr = (self.LL[compi] + self.DUL[compi]) / 2 + if Init_water[compi] < thThr: + if (Init_water[compi] <= self.LL[compi]) or (thThr <= self.LL[compi]): + Krel = 0 + else: + Krel = (Init_water[compi] - self.LL[compi]) / (thThr - self.LL[compi]) + + else: + Krel = 1 + + # 检查是否有空间储存毛细管上升的水 + dth = round(Init_water_Adj[compi] - Init_water[compi],4) + + # Store water if room is available 如果空间有效的话，存储水量 + if (dth > 0) and ((zBot - self.DLAYR[compi] / 2) < z_gw): + dthMax = Krel * Df * MaxCR / (10 * self.DLAYR[compi]) + if dth >= dthMax: + Init_water[compi] = Init_water[compi] + dthMax + CRcomp = dthMax * 10 * self.DLAYR[compi] + MaxCR = 0 + else: + Init_water[compi] = Init_water_Adj[compi] + CRcomp = dth * 10 * self.DLAYR[compi] + MaxCR = (Krel * MaxCR) - CRcomp + + WCr = WCr + CRcomp + + # 更新各层底部高度 + zBot = zBot - self.DLAYR[compi] + # 更新隔间和层计数器 + compi = compi - 1 + # 更新毛细管最大上升限制 + if compi > -1: + + zBotMid = zBot - (self.DLAYR[compi] / 2) + if (Ksat[compi] > 0) and (z_gw > 0) and ((z_gw - zBotMid) < 4): + if zBotMid >= z_gw: + LimCR = 99 + else: + LimCR = np.exp((np.log(z_gw - zBotMid) - bCR[compi]) / aCR[compi]) + if LimCR > 99: + LimCR = 99 + + else: + LimCR = 0 + + if MaxCR > LimCR: + MaxCR = LimCR + + # Store total depth of capillary rise 毛细管上升总深度 + CrTot = WCr + + return CrTot, SW2 + + def e0(self, T: float): + """ + :param T: 气温，℃ + :return: + e: 气温为T时的水汽压，kPa + """ + e = 0.6108*(math.exp((17.27 * T / (T + 237.3)))) + return e + + def cal_Rn(self, doy: int, SH: float, Tmax: float, Tmin: float, RH: float) -> float: + """作物表面上的净辐射，MJ/(m2·day)""" + + a = 0.23 # 冠层反射率，绿色植被覆盖的地表的反射率约为0.20-0.25。以绿草为参考作物时，a=0.23。 + Lat = self.latitude * math.pi / 180.0 + Z = self.elevation + delta = 0.409 * math.sin(2 * math.pi * doy / 365 - 1.39) # 太阳赤纬 + ws = math.acos(-math.tan(Lat*math.pi / 180.0)*math.tan(delta)) # 太阳时角 + dr = 1 + 0.033 * math.cos(2 * math.pi * doy / 365) # 日地距离系数 + Ra = ((24 * 60 * 0.082) / math.pi * dr * + (ws * math.sin(Lat*math.pi / 180.0) * math.sin(delta) + math.sin(ws) * math.cos(Lat*math.pi / 180.0) * math.cos(delta))) # 天文辐射 + Rso = (0.75 + 2 * 10**(-5) * Z) * Ra # 晴天辐射 + N = 24 / math.pi * ws + Rs = (0.25 + 0.5 * SH / N) * Ra # 太阳短波辐射 + Rns = (1 - a) * Rs # 净短波辐射 + + es = (self.e0(Tmax) + self.e0(Tmin)) / 2 + ea = es * RH / 100 + Rnl = (4.903 * 10**(-9) * (((Tmax + 273.16)**4 - (Tmin + 273.16)**4) / 4) * + (0.34 - 0.14 * ea**0.5) * (1.35 * Rs / Rso - 0.35)) # 净长波辐射 + Rn = Rns - Rnl + return Rn + + def PM_ET0(self, Tmax, Tmin, RH, P, u2, Rn): + """作物潜在蒸散量，mm""" + + Tmean = (Tmax + Tmin) / 2 + # 土壤热通量 + G = 0 + # 饱和水汽压 + es = (self.e0(Tmax) + self.e0(Tmin)) / 2 + # 实际水汽压 + ea = es * RH / 100 + # 饱和水汽压曲线斜率 + delta = 4098 * self.e0(Tmean) / (Tmean + 237.3) ** 2 + # 湿度计常数 + gama = 0.665 * 0.001 * P + ET0 = (0.408*delta*(Rn-G) + gama*900*u2*(es-ea)/(Tmean+273)) / (delta + gama*(1 + 0.34*u2)) + + return ET0 + + def cal_Kcb(self, current_pdt: float, RHmin: float, u2: float) -> float: + """Kcb，作物蒸腾系数""" + + PDT_1 = self.PDT_EM + PDT_2 = self.PDT_BT + PDT_3 = self.PDT_EF + PDT_4 = self.PDT_MT + + if RHmin != 45 or u2 != 2: + if self.Kcbmid >= 0.45: + kcbmid_new = self.Kcbmid + (0.04*(u2-2)-0.004*(RHmin-45))*(self.h/3)**0.3 + else: + kcbmid_new = self.Kcbmid + + if self.Kcbend >= 0.45: + kcbend_new = self.Kcbend + (0.04*(u2-2)-0.004*(RHmin-45))*(self.h/3)**0.3 + else: + kcbend_new = self.Kcbend + else: + kcbmid_new = self.Kcbmid + kcbend_new = self.Kcbend + + if current_pdt <= PDT_1: + Kcb = self.Kcbini + elif PDT_1 < current_pdt <= PDT_2: + Kcb = self.Kcbini + (kcbmid_new - self.Kcbini)/(PDT_2 - PDT_1) * (current_pdt - PDT_1) + elif PDT_2 < current_pdt <= PDT_3: + Kcb = kcbmid_new + elif PDT_3 < current_pdt < PDT_4: + Kcb = self.Kcbmid + (kcbend_new - kcbmid_new)/(PDT_4 - PDT_3) * (current_pdt - PDT_3) + else: + Kcb = kcbend_new + return Kcb + + def ETc(self, current_date: str, current_pdt: float, rootdepth: float, Runoff: float, I: float, CrTot: float, De0: float, SW0: list): + """ETcadj: 胁迫条件下的作物蒸腾量，mm""" + + Rain = self.weather.loc[current_date, 'RAIN'] + Tmin = self.weather.loc[current_date, 'Tmin'] + Tmax = self.weather.loc[current_date, 'Tmax'] + SH = self.weather.loc[current_date, 'SH'] + u2 = self.weather.loc[current_date, 'u2'] + RH = self.weather.loc[current_date, 'RHave'] + RHmin = self.weather.loc[current_date, 'RHmin'] + P = self.weather.loc[current_date, 'Atm'] + + # 计算ETo + doy = DateUtils.cal_Doy(current_date) + Rn = self.cal_Rn(doy, SH, Tmax, Tmin, RH) + ETo = self.PM_ET0(Tmax, Tmin, RH, P, u2, Rn) # 参考作物蒸散量，mm/d + + kcb = self.cal_Kcb(current_pdt, RHmin, u2) # 作物蒸腾系数 + # print(kcb) + kcmin = 0.15 # 无地表覆盖的干燥土壤最小Kc值，约为 0.15－0.20 + kcmax = max((1.2 + (0.04 * (u2 - 2) - 0.004 * (RHmin - 45)) * (self.h / 3) ** 0.3), (kcb + 0.5)) + if kcb >= kcmin: + fc = ((kcb - kcmin) / (kcmax - kcmin)) ** (1 + 0.5 * self.h) # 地表遮盖比例 + else: + fc = 0 + fw = 1.0 # 地表湿润比例，降雨、喷灌、漫灌、畦灌条件下为1.0 + few = min((1 - fc), fw) + + # 计算蒸发减少系数kr + Ze = 0.10 # 由于蒸发而变干的表土层厚度，可取0.10~0.15m + TEW = 1000 * (self.DUL[0] - 0.5 * self.LL[0]) * Ze # 总蒸发水量 + REW = 8 # 易蒸发水量 + if De0 <= REW: + kr = 1 + else: + kr = (TEW - De0) / (TEW - REW) + + # 计算地表蒸发系数ke和地表蒸发量E + ke = min(kr*(kcmax-kcb), few*kcb) + E = kr * ke * ETo # 地表蒸发量，mm + + Tew = 0 # 通常可忽略 + + # 当有强降水或灌溉时，De可认为是0 + if Rain >= 3 or I > 0: + De = 0 + DPe = (Rain - Runoff) + I / fw - De0 + SW = SW0 + SW[0] = self.DUL[0] + else: + DPe = 0 + De = De0 - (Rain - Runoff) - I/fw + E/few + Tew + DPe + if De < 0: + De = 0 + elif De > TEW: + De = TEW + SW = SW0 + SW[0] = SW0[0] - De / (Ze * 1000) + + ETcadj = 0 + if rootdepth > 0: + + # ======================== 计算 ET ========================= + Zr = rootdepth / 10 # 每日有效根深，m + # Zr = 0.5 + + Depth = 0 + if Zr > 0.4: + i = 3 + Zr = 0.4 + else: + i = 0 + while i < self.NLAYR: + Depth += self.DLAYR[i] / 100 + if Zr > Depth: + i += 1 + else: + break + + # print(i) + + TAW = 1000 * (self.DUL[i] - self.LL[i]) * Zr # 总有效水量，mm + pct = 0.5 # 不遭受水分胁迫时，作物从根系层中吸收的有效水量与总有效水量 TAW 之比，通常取0.5 + + Dr0 = 1000 * (self.DUL[i] - SW0[i]) * Zr + if Dr0 > TAW: + Dr0 = TAW + if Dr0 <= pct*TAW: + ks = 1.0 + else: + ks = (TAW - Dr0) / ((1 - pct) * TAW) + ETc = (kcb + ke) * ETo + # ETcadj = (ks*kcb + ke) * ETo + ETcadj = (kcb + ke) * ETo + # 当有强降水或灌溉时，De可认为是0 + if Rain >= 3 or I > 0: + DP = (Rain - Runoff) + I - ETcadj - Dr0 + else: + DP = 0 + + Dr = Dr0 - (Rain - Runoff) - I - CrTot + ETcadj + DP + if Dr > TAW: + Dr = TAW + SW[i] = SW0[i] - Dr / (Zr * 1000) + + return E, ETcadj, De, SW + + def simulate(self): + """根系吸水量，单位为 cm3/cm3""" + + biomassmodel = BiomassModel(self.start, self.end, self.weather, self.cultivar_params, self.management, + self.plant_params, self.soil_params) + biomassmodel.ifEmergence() + + results = {} + + delta = (self.end_date - self.start_date).days + SW = self.SW0 + De0 = 0 + Biomass0 = self.seed_weight / 2 + rootdepth = 0 + for day in (self.start_date + datetime.timedelta(n) for n in range(delta + 1)): + date_str = day.strftime("%m/%d/%Y") + + Biomass0, LAI, Fw, ROOTWT = BiomassModel(self.start, date_str, self.weather, self.cultivar_params, self.management, + self.plant_params, self.soil_params).biomass(day, Biomass0) + + irri_date = self.irrigation['date'] + if date_str == irri_date: + I = self.irrigation['amount'] + else: + I = 0.0 + try: + Rain = self.weather.loc[date_str, 'RAIN'] + Tmin = self.weather.loc[date_str, 'Tmin'] + Tmax = self.weather.loc[date_str, 'Tmax'] + SH = self.weather.loc[date_str, 'SH'] + u2 = self.weather.loc[date_str, 'u2'] + RH = self.weather.loc[date_str, 'RHave'] + RHmin = self.weather.loc[date_str, 'RHmin'] + # P = self.weather.loc[date_str, 'Atm'] + except KeyError: + print(f"气象数据中缺少 {date_str} 的记录，跳过该天。") + continue + if day < biomassmodel.emergence_date: + print("作物还未出苗。") + PDT = 0 + Interception = 0 + Runoff, SW1 = self.runoff(Rain, I, Interception, SW) + SW2 = self.pinf(Rain, I, Interception, SW1) + CrTot, SW2 = self.capillary_rise(SW2) + E, ETcadj, De, SW3 = self.ETc(date_str, PDT, rootdepth, Runoff, I, CrTot, De0, SW2) + Si = [0 for i in range(self.NLAYR)] + SW4 = [0 for i in range(self.NLAYR)] + for L in range(self.NLAYR): + SW4[L] = min(max(self.LL[L], SW3[L] - Si[L]), self.SAT[L]) ### 土壤水分含量最低为LL + else: + Interception, SW0 = self.interception(Rain, LAI, Fw, SW) + PDT = biomassmodel._cal_pdt(day) + + daily_rootdepth = biomassmodel.daily_DRTDEP(date_str, PDT, wdf=1) + rootdepth += daily_rootdepth + # 达到最大有效根深后根系深度不再增加 + if rootdepth == 150: + rootdepth = 150 + RLV = biomassmodel.RLV(rootdepth, ROOTWT) + + Runoff, SW1 = self.runoff(Rain, I, Interception, SW0) + SW2 = self.pinf(Rain, I, Interception, SW1) + CrTot, SW2 = self.capillary_rise(SW2) + E, ETcadj, De, SW3 = self.ETc(date_str, PDT, rootdepth, Runoff, I, CrTot, De0, SW2) + + Tp = ETcadj - E # Tp means potential transpiration of plants + + Si = [] + SW4 = [0 for i in range(self.NLAYR)] + sum_RLV = sum(RLV) + for L in range(self.NLAYR): + ccc = RLV[L] / sum_RLV + Smi = Tp * ccc + WFi = 0.4 # WFi means the effct on Soil water transpiration, and its range is 0-1. + # WFi = 1 + # print(min(SW3[L] - self.LL[L], WFi * Smi)) + Si.append(max(min(SW3[L] - self.LL[L], WFi * Smi), 0)) ### 作物仅能吸收LL以上的土壤水分 + # sum_Ta = sum_Ta + Si + SW4[L] = min(max(self.LL[L], SW3[L] - Si[L]), self.SAT[L]) ### 土壤水分含量最低为LL + + results[date_str] = Si + SW = SW4 + De0 = De + return results + + +# Pydantic models for API +class SimulationRequest(BaseModel): + start_date: str + end_date: str + cultivar_params: Dict[str, Any] + plant_params: Dict[str, Any] + soil_params: Dict[str, Any] + management: Dict[str, Any] + n_params: Dict[str, Any] + weather_data: List[Dict[str, Any]] # Weather data as list of dicts + +class HealthCheckResponse(BaseModel): + status: str + message: str + +# FastAPI app +app = FastAPI( + title="Soil Water Balance Model API", + description="API for calculating soil water balance and root water uptake", + version="1.0.0" +) + +@app.get("/health", response_model=HealthCheckResponse) +async def health_check(): + """Health check endpoint""" + return HealthCheckResponse(status="healthy", message="Soil water balance model API is running") + +@app.post("/simulate", response_model=Dict[str, any]) +async def simulate_soil_water_balance(request: SimulationRequest): + """ + Run soil water balance simulation + + Parameters: + - start_date: Start date in MM/DD/YYYY format + - end_date: End date in MM/DD/YYYY format + - cultivar_params: Cultivar parameters + - plant_params: Plant parameters + - soil_params: Soil parameters + - management: Management parameters + - n_params: Nitrogen parameters + - weather_data: Weather data as list of dictionaries + + Returns: + - Dictionary containing simulation results with dates as keys and root water uptake (Si) as values + """ + try: + # Convert weather data list to pandas DataFrame + weather_df = pd.DataFrame(request.weather_data) + if 'date' in weather_df.columns: + weather_df.set_index('date', inplace=True) + weather_df.index = pd.to_datetime(weather_df.index) + + # Initialize the model + model = SoilWaterModel( + start=request.start_date, + end=request.end_date, + weather=weather_df, + cultivar_params=request.cultivar_params, + plant_params=request.plant_params, + soil_params=request.soil_params, + management=request.management, + n_params=request.n_params + ) + + # Run simulation + results = model.simulate() + + return { + "status": "success", + "results": results, + "start_date": request.start_date, + "end_date": request.end_date + } + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Simulation failed: {str(e)}") + +@app.post("/simulate_from_files") +async def simulate_from_files( + start_date: str, + end_date: str, + weather_file: UploadFile = File(...), + management_file: UploadFile = File(...), + soil_params_file: UploadFile = File(...), + n_params_file: UploadFile = File(...), + plant_params_file: UploadFile = File(...), + cultivar_params_file: UploadFile = File(...) +): + """ + Run simulation using uploaded parameter files + + Parameters: + - start_date: Start date in MM/DD/YYYY format + - end_date: End date in MM/DD/YYYY format + - weather_file: CSV file with weather data + - management_file: JSON file with management parameters + - soil_params_file: JSON file with soil parameters + - n_params_file: JSON file with nitrogen parameters + - plant_params_file: JSON file with plant parameters + - cultivar_params_file: JSON file with cultivar parameters + + Returns: + - Dictionary containing simulation results + """ + try: + # Read uploaded files + weather_data = pd.read_csv(weather_file.file, index_col='date', parse_dates=True) + + management = json.load(management_file.file) + soil_params = json.load(soil_params_file.file) + n_params = json.load(n_params_file.file) + plant_params = json.load(plant_params_file.file) + cultivar_params = json.load(cultivar_params_file.file) + + # Initialize the model + model = SoilWaterModel( + start=start_date, + end=end_date, + weather=weather_data, + cultivar_params=cultivar_params, + plant_params=plant_params, + soil_params=soil_params, + management=management, + n_params=n_params + ) + + # Run simulation + results = model.simulate() + + return { + "status": "success", + "results": results, + "start_date": start_date, + "end_date": end_date + } + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Simulation failed: {str(e)}") + +if __name__ == '__main__': + # Run with uvicorn + uvicorn.run(app, host="0.0.0.0", port=8000) \ No newline at end of file diff --git a/nginx.conf b/nginx.conf new file mode 100644 index 0000000..5bae334 --- /dev/null +++ b/nginx.conf @@ -0,0 +1,74 @@ +# Nginx configuration for Soil Water Balance Model API +# Place this file in /etc/nginx/sites-available/ and create symlink to sites-enabled/ + +upstream soil_water_api { + server 127.0.0.1:8000; + # Add more servers for load balancing if needed + # server 127.0.0.1:8001; + # server 127.0.0.1:8002; +} + +server { + listen 80; + server_name your-domain.com; # Replace with your actual domain + + # Redirect HTTP to HTTPS (optional, but recommended) + return 301 https://$server_name$request_uri; +} + +server { + listen 443 ssl http2; + server_name your-domain.com; # Replace with your actual domain + + # SSL configuration (replace with your actual certificates) + ssl_certificate /path/to/your/certificate.crt; + ssl_certificate_key /path/to/your/private.key; + + # SSL security settings + ssl_protocols TLSv1.2 TLSv1.3; + ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384; + ssl_prefer_server_ciphers off; + + # Security headers + add_header X-Frame-Options "SAMEORIGIN" always; + add_header X-XSS-Protection "1; mode=block" always; + add_header X-Content-Type-Options "nosniff" always; + add_header Referrer-Policy "no-referrer-when-downgrade" always; + add_header Content-Security-Policy "default-src 'self' http: https: data: blob: 'unsafe-inline'" always; + + # API endpoints + location / { + proxy_pass http://soil_water_api; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + # Timeout settings + proxy_connect_timeout 30s; + proxy_send_timeout 30s; + proxy_read_timeout 30s; + + # File upload size limit (adjust as needed) + client_max_body_size 50M; + } + + # Health check endpoint (for load balancer) + location /health { + proxy_pass http://soil_water_api/health; + access_log off; + } + + # API documentation + location /docs { + proxy_pass http://soil_water_api/docs; + proxy_set_header Host $host; + } + + # Static files for API docs + location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg)$ { + proxy_pass http://soil_water_api; + expires 1y; + add_header Cache-Control "public, immutable"; + } +} diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..0b0e887 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +fastapi==0.104.1 +uvicorn[standard]==0.24.0 +pandas==2.1.4 +numpy==1.26.2 +pydantic==2.5.0 +python-multipart==0.0.6 diff --git a/test_api.py b/test_api.py new file mode 100644 index 0000000..aa89242 --- /dev/null +++ b/test_api.py @@ -0,0 +1,106 @@ +#!/usr/bin/env python3 +""" +测试Soil Water Balance Model API +""" + +import requests +import json +import pandas as pd +import os + +def test_health_check(): + """测试健康检查端点""" + try: + response = requests.get("http://localhost:8000/health") + if response.status_code == 200: + print("✓ 健康检查通过") + return True + else: + print("✗ 健康检查失败") + return False + except Exception as e: + print(f"✗ 健康检查错误: {e}") + return False + +def load_test_data(): + """加载测试数据""" + base_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)) + + # 加载参数文件 + with open(os.path.join(base_dir, 'data', 'management.json')) as f: + management = json.load(f) + + with open(os.path.join(base_dir, 'data', 'SOILPROP.json')) as f: + soil_params = json.load(f) + + with open(os.path.join(base_dir, 'data', 'N_organ.json')) as f: + n_params = json.load(f) + + with open(os.path.join(base_dir, 'data', 'plant_para.json')) as f: + plant_params = json.load(f) + + with open(os.path.join(base_dir, 'data', 'para.json')) as f: + cultivar_params = json.load(f) + + # 加载气象数据 + weather_data = pd.read_csv( + os.path.join(base_dir, 'data', '57278_2024.csv'), + index_col='date', + parse_dates=True + ) + + # 转换为字典列表格式 + weather_list = [] + for date, row in weather_data.iterrows(): + weather_dict = {'date': date.strftime('%m/%d/%Y')} + weather_dict.update(row.to_dict()) + weather_list.append(weather_dict) + + return { + "start_date": "10/9/2023", + "end_date": "10/15/2023", # 缩短测试时间 + "cultivar_params": cultivar_params, + "plant_params": plant_params, + "soil_params": soil_params, + "management": management, + "n_params": n_params, + "weather_data": weather_list + } + +def test_simulation(): + """测试模拟计算""" + try: + test_data = load_test_data() + + response = requests.post( + "http://localhost:8000/simulate", + json=test_data, + headers={"Content-Type": "application/json"} + ) + + if response.status_code == 200: + result = response.json() + print("✓ 模拟计算成功") + print(f"结果包含 {len(result.get('results', {}))} 天的计算结果") + return True + else: + print(f"✗ 模拟计算失败: {response.status_code}") + print(response.text) + return False + except Exception as e: + print(f"✗ 模拟计算错误: {e}") + return False + +if __name__ == "__main__": + print("开始测试Soil Water Balance Model API...") + + # 测试健康检查 + if not test_health_check(): + print("API服务未运行，请先启动API服务") + exit(1) + + # 测试模拟计算 + if test_simulation(): + print("所有测试通过！") + else: + print("测试失败")