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test_run.py
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test_run.py
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# TODO: Make tests with the experiments included in DSSAT
"""
Each test is runs one of the experiments included in DSSAT for that crop. The
test pass if the result is close enough to the one obtained using the desktop
version of DSSAT. Close enough is an error of less than 1%.
This is the list of crops and the tested experiments:
| Crop | Experiment | Treat |
|--------------|------------|-------|
| Maize | BRPI0202 | 1 |
| Wheat | KSAS8101 | 1 |
| Tomato | UFBR9401 | 4 |
| Soybean | CLMO8501 | 1 |
| Sorghum | ITHY8001 | 2 |
| Millet | Pending
| Sugarbeet | Pending
| Rice | Pending
| Sweetcorn | Pending
| Alfalfa | Pending
| Bermudagrass | Pending
| Canola | Pending
| Sunflower | Pending
| Potato | Pending
| Cabbage | Pending
| Sugarcane | Pending
"""
import pytest
from DSSATTools import (
Crop, SoilProfile, Weather,
Management, DSSAT
)
from DSSATTools.base.sections import TabularSubsection
from datetime import datetime
import pandas as pd
import numpy as np
import os
import tempfile
TMP = tempfile.gettempdir()
DATES = pd.date_range('2000-01-01', '2002-12-31')
N = len(DATES)
df = pd.DataFrame(
{
'tn': np.random.gamma(24, 1, N),
'rad': np.random.gamma(15, 1.5, N),
'prec': np.round(np.random.gamma(.4, 10, N), 1),
'rh': 100 * np.random.beta(1.5, 1.15, N),
},
index=DATES,
)
df['TMAX'] = df.tn + np.random.gamma(5., .5, N)
# Create a WheaterStation instance
wth = Weather(
df, {"tn": "TMIN", "rad": "SRAD", "prec": "RAIN", "rh": "RHUM", "TMAX": "TMAX"},
4.54, -75.1, 1800
)
soil = SoilProfile(default_class='SIL')
def test_no_setup():
with pytest.raises(AssertionError) as excinfo:
assert 'setup() method' in str(excinfo.value)
def test_run_maize():
"""
Experiment BRPI0202, treatment 1
"""
crop = Crop('maize', "IB0171")
soil = SoilProfile("tests/input_files/BR.SOL", "BRPI020001")
### Build weather from existing weather files
df = pd.read_csv(f"tests/input_files/BRPI0201.WTH", skiprows=4, sep="\s+")
df.index = pd.to_datetime("0"+df["@DATE"].astype(str), format="%y%j")
wth = Weather(
df, {"TMIN": "TMIN", "SRAD": "SRAD", "RAIN": "RAIN", "TMAX": "TMAX"},
lat=-22.43, lon=-47.25, elev=580, tav=21.6, amp=7.2, wndht=2.
)
### Define management
man = Management(
planting_date=datetime.strptime("02072", "%y%j"),
)
# Field attributes according to experiment file
man.field["...........XCRD"] = 0
man.field["...........YCRD"] = 0
man.field[".....ELEV"] = 0
# *INITIAL CONDITIONS
# @C PCR ICDAT ICRT ICND ICRN ICRE ICWD ICRES ICREN ICREP ICRIP ICRID ICNAME
# 1 MZ 02060 -99 -99 1 1 -99 5100 1.5 -99 100 15 rainfed
# @C ICBL SH2O SNH4 SNO3
# 1 20 .25 .4 3.9
# 1 40 .25 .4 3.9
# 1 120 .26 .4 3.9
pars = {
"PCR": "MZ", "ICDAT": "02060", "ICRN": 1, "ICRE": 1, "ICRES": 5100,
"ICREN": 1.5, "ICRIP": 100, "ICRID": 15,
}
for key, val in pars.items(): man.initial_conditions[key] = val
man.initial_conditions["table"] = TabularSubsection(pd.DataFrame(
[( 20, .25, .4, 3.9),
( 40, .25, .4, 3.9),
( 120, .26, .4, 3.9),],
columns=["ICBL", "SH2O", "SNH4", "SNO3"]
))
# *PLANTING DETAILS
# @P PDATE EDATE PPOP PPOE PLME PLDS PLRS PLRD PLDP PLWT PAGE PENV PLPH SPRL PLNAME
# 1 02072 02078 7 5 S R 80 45 5 -99 -99 -99 -99 0 -99
pars = {
"EDATE": "02078", "PPOP": 7, "PPOE": 5, "PLME": "S", "PLDS": "R",
"PLRS": 80, "PLRD": 45, "PLDP": 5
}
for key, val in pars.items(): man.planting_details[key] = val
# *FERTILIZERS (INORGANIC)
# @F FDATE FMCD FACD FDEP FAMN FAMP FAMK FAMC FAMO FOCD FERNAME
# 1 02072 FE027 AP001 5 20 -99 -99 -99 -99 -99 -99
# 1 02093 FE005 AP003 0 50 0 0 0 0 -99 -99
man.fertilizers["table"].loc[0] = (
"02072", "FE027", "AP001", 5, 20, None, None, None, None, None, None
)
man.fertilizers["table"].loc[1] = (
"02093", "FE005", "AP003", 0, 50, 0, 0, 0, 0, None, None
)
# *SIMULATION CONTROLS
# @N GENERAL NYERS NREPS START SDATE RSEED SNAME.................... SMODEL
# 1 GE 1 1 S 02060 2150 2002 Maize Experiment Ir
# @N OPTIONS WATER NITRO SYMBI PHOSP POTAS DISES CHEM TILL CO2
# 1 OP Y Y N N N N N Y M
# @N METHODS WTHER INCON LIGHT EVAPO INFIL PHOTO HYDRO NSWIT MESOM MESEV MESOL
# 1 ME M M E R S R R 1 G S 2
# @N MANAGEMENT PLANT IRRIG FERTI RESID HARVS
# 1 MA R R R N M
# @N OUTPUTS FNAME OVVEW SUMRY FROPT GROUT CAOUT WAOUT NIOUT MIOUT DIOUT VBOSE CHOUT OPOUT FMOPT
# 1 OU N Y Y 1 Y Y Y Y N N Y N N A
pars = {
"SDATE": "02060", "RSEED": 2150,
"WATER": "Y", "NITRO": "Y", "CO2": "M", "WTHER": "M", "INCON": "M",
"LIGHT": "E", "EVAPO": "R", "INFIL": "S", "PHOTO": "R", "HYDRO": "R",
"NSWIT": 1, "MESOM": "G", "MESEV": "S", "MESOL": 2, "PLANT": "R",
"IRRIG": "R", "FERTI": "R", "RESID": "N", "HARVS": "M",
}
for key, val in pars.items(): man.simulation_controls[key] = val
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'dssat_test'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
harwt = int(dssat.stdout.split("\n")[-1].split()[6])
assert np.isclose(3676, harwt, rtol=0.01)
dssat.close()
def test_run_millet():
soil = SoilProfile(default_class='SIL')
crop = Crop('millet')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_sugarbeet():
crop = Crop('sugarbeet')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_rice():
crop = Crop('rice')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_sorghum():
"""
Experiment ITHY8001, treatment 2
"""
crop = Crop('sorghum', "IB0026")
soil = SoilProfile("tests/input_files/SOIL.SOL", "IBSG910085")
### Build weather from existing weather files
df = pd.DataFrame()
for year in range(80, 82):
df = pd.concat(
[df, pd.read_csv(f"tests/input_files/ITHY{year}01.WTH", skiprows=3, sep="\s+")],
ignore_index=True
)
df.index = pd.to_datetime(df["@DATE"].astype(str), format="%y%j")
wth = Weather(
df, {"TMIN": "TMIN", "SRAD": "SRAD", "RAIN": "RAIN", "TMAX": "TMAX"},
lat=17.530, lon=78.270, elev=0, tav=25.8, amp=11.8, refht=2., wndht=3.
)
### Define management
man = Management(
planting_date=datetime.strptime("80169", "%y%j"),
)
# @C PCR ICDAT ICRT ICND ICRN ICRE ICWD ICRES ICREN ICREP ICRIP ICRID ICNAME
# 2 SG 80165 500 0 1 1 -99 1300 .5 0 100 10 -99
# @C ICBL SH2O SNH4 SNO3
# 2 10 .06 2.5 1.8
# 2 22 .06 2.5 1.8
# 2 52 .195 3 4.5
# 2 82 .21 3.5 5
# 2 112 .2 2 2
# 2 142 .2 1 .7
# 2 172 .2 1 .6
pars = {
"PCR": "SG", "ICDAT": "80165", "ICRT": 500, "ICND": 0, "ICRN": 1,
"ICRE": 1, "ICRES": 1300, "ICREN": .5, "ICREP": 0, "ICRIP": 100,
"ICRID": 10
}
for key, val in pars.items(): man.initial_conditions[key] = val
man.initial_conditions["table"] = TabularSubsection({
'ICBL': [10, 22, 52, 82, 112, 142, 172],
'SH2O': [.06, .06, .195, .21, .2, .2, .2],
'SNH4': [2.5, 2.5, 3, 3.5, 2, 1, 1],
'SNO3': [1.8, 1.8, 4.5, 5, 2, .7, .6]
})
# *PLANTING DETAILS
# @P PDATE EDATE PPOP PPOE PLME PLDS PLRS PLRD PLDP PLWT PAGE PENV PLPH SPRL PLNAME
# 1 80169 -99 18 18 S R 45 0 5 -99 -99 -99 -99 0 -99
pars = {
"PPOP": 18, "PPOE": 18, "PLME": "S", "PLDS": "R", "PLRS": 45,
"PLRD": 0, "PLDP": 5, "SPRL": 0
}
for key, val in pars.items(): man.planting_details[key] = val
# *FERTILIZERS (INORGANIC)
# @F FDATE FMCD FACD FDEP FAMN FAMP FAMK FAMC FAMO FOCD FERNAME
# 2 80185 FE005 AP002 5 80 -99 -99 -99 -99 -99 -99
man.fertilizers["table"].loc[0] = (
"80185", "FE005", "AP002", 5, 80, None, None, None, None, None, None
)
# *SIMULATION CONTROLS
# @N GENERAL NYERS NREPS START SDATE RSEED SNAME.................... SMODEL
# 1 GE 1 1 S 80165 2150 ICRISAT Alfisol N 1980 E
# @N OPTIONS WATER NITRO SYMBI PHOSP POTAS DISES CHEM TILL CO2
# 1 OP Y Y N N N N N N M
# @N METHODS WTHER INCON LIGHT EVAPO INFIL PHOTO HYDRO NSWIT MESOM MESEV MESOL
# 1 ME M M E R S C R 1 P S 2
# @N MANAGEMENT PLANT IRRIG FERTI RESID HARVS
# 1 MA R N R N M
# @N OUTPUTS FNAME OVVEW SUMRY FROPT GROUT CAOUT WAOUT NIOUT MIOUT DIOUT VBOSE CHOUT OPOUT
# 1 OU N Y Y 1 Y N Y Y N N Y N N
pars = {
"SDATE": "80165", "RSEED": 2150,
"WATER": "Y", "NITRO": "Y", "CO2": "M",
"WTHER": "M", "INCON": "M", "LIGHT": "E", "EVAPO": "R", "INFIL": "S",
"PHOTO": "C", "HYDRO": "R", "NSWIT": 1, "MESOM": "P", "MESEV": "S",
"MESOL": 2,
"PLANT": "R", "IRRIG": "N", "FERTI": "R", "RESID": "N", "HARVS": "M",
}
for key, val in pars.items(): man.simulation_controls[key] = val
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'dssat_test'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
harwt = int(dssat.stdout.split("\n")[-1].split()[6])
assert np.isclose(6334, harwt, rtol=0.01)
def test_run_sweetcorn():
crop = Crop('sweetcorn')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_alfalfa():
crop = Crop('alfalfa')
man = Management(
planting_date=DATES[10],
)
man.mow['table'] = TabularSubsection({
'DATE': [DATES[300].strftime('%y%j'), DATES[340].strftime('%y%j')],
'MOW': [1000, 1000], 'RSPLF': [20, 20], 'MVS': [2, 2], 'RSHT': [5, 5]
})
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_bermudagrass():
crop = Crop('bermudagrass')
man = Management(
planting_date=DATES[10],
)
man.mow['table'] = TabularSubsection({
'DATE': [DATES[300].strftime('%y%j'), DATES[340].strftime('%y%j')],
'MOW': [1000, 1000], 'RSPLF': [20, 20], 'MVS': [2, 2], 'RSHT': [5, 5]
})
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
# dssat.close()
# assert not os.path.exists(dssat._RUN_PATH)
def test_run_soybean():
"""
Experiment CLMO8501, treatment 1
"""
crop = Crop('Soybean', "IB0011")
soil = SoilProfile("tests/input_files/SOIL.SOL", "IBSB910032")
### Build weather from existing weather files
df = pd.read_csv(f"tests/input_files/CLMO8501.WTH", skiprows=3, sep="\s+")
df.index = pd.to_datetime(df["@DATE"], format="%y%j")
wth = Weather(
df, {"TMIN": "TMIN", "SRAD": "SRAD", "RAIN": "RAIN", "TMAX": "TMAX",
"PAR": "PAR"},
lat=45.56, lon=-95.67
)
### Define management
man = Management(
planting_date=datetime.strptime("85140", "%y%j"),
)
# *INITIAL CONDITIONS
# @C PCR ICDAT ICRT ICND ICRN ICRE ICWD ICRES ICREN ICREP ICRIP ICRID ICNAME
# 1 SB 85140 1 -99 1 1 -99 -99 -99 -99 -99 -99 -99
# @C ICBL SH2O SNH4 SNO3
# 1 7 .467 0 0
# 1 19 .444 0 0
# 1 32 .444 0 0
# 1 47 .444 0 0
# 1 62 .444 0 0
# 1 92 .333 0 0
# 1 122 .333 0 0
# 1 152 .333 0 0
# 1 182 .333 0 0
pars = {
"PCR": "SB", "ICDAT": "85140", "ICRT": 1, "ICRN": 1, "ICRE": 1,
}
for key, val in pars.items(): man.initial_conditions[key] = val
man.initial_conditions["table"] = TabularSubsection({
'ICBL': [7, 19, 32, 47, 62, 92, 122, 152, 182],
'SH2O': [.467, .444, .444, .444, .444, .333, .333, .333, .333],
'SNH4': [0, 0, 0, 0, 0, 0, 0, 0, 0],
'SNO3': [0, 0, 0, 0, 0, 0, 0, 0, 0]
})
# *PLANTING DETAILS
# @P PDATE EDATE PPOP PPOE PLME PLDS PLRS PLRD PLDP PLWT PAGE PENV PLPH SPRL PLNAME
# 1 85140 -99 25.3 25.3 S R 74 0 4 -99 -99 -99 -99 -99 -99
pars = {
"PPOP": 25.3, "PPOE": 25.3, "PLME": "S", "PLDS": "R", "PLRS": 74,
"PLRD": 0, "PLDP": 4,
}
for key, val in pars.items(): man.planting_details[key] = val
# *IRRIGATION AND WATER MANAGEMENT
# @I EFIR IDEP ITHR IEPT IOFF IAME IAMT IRNAME
# 1 .75 -99 -99 -99 -99 -99 -99 -99
# @I IDATE IROP IRVAL
# 1 85183 IR001 41
# 1 85189 IR001 54
# 1 85196 IR001 56
# 1 85200 IR001 51
# 1 85214 IR001 40
# 1 85221 IR001 25
man.irrigation["EFIR"] = .75
man.irrigation["table"] = TabularSubsection({
'IDATE': ["85183", "85189", "85196", "85200", "85214", "85221"],
'IROP': ["IR001"]*6,
'IVAL': [41, 54, 56, 51, 40, 25],
})
# *SIMULATION CONTROLS
# @N GENERAL NYERS NREPS START SDATE RSEED SNAME.................... SMODEL
# 1 GE 1 1 S 85140 2150 EVANS, IRRIGATED AND NON
# @N OPTIONS WATER NITRO SYMBI PHOSP POTAS DISES CHEM TILL CO2
# 1 OP Y Y Y N N N N Y M
# @N METHODS WTHER INCON LIGHT EVAPO INFIL PHOTO HYDRO NSWIT MESOM MESEV MESOL
# 1 ME M M E R S L R 1 G R 2
# @N MANAGEMENT PLANT IRRIG FERTI RESID HARVS
# 1 MA R R R R M
# @N OUTPUTS FNAME OVVEW SUMRY FROPT GROUT CAOUT WAOUT NIOUT MIOUT DIOUT VBOSE CHOUT OPOUT
# 1 OU N Y Y 1 Y Y Y Y N N Y N N
pars = {
"SDATE": "85140", "RSEED": 2150,
"WATER": "Y", "NITRO": "Y", "SYMBI": "Y", "TILL": "Y", "CO2": "M",
"WTHER": "M", "INCON": "M", "LIGHT": "E", "EVAPO": "R", "INFIL": "S",
"PHOTO": "L", "HYDRO": "R", "NSWIT": 1, "MESOM": "G", "MESEV": "R",
"MESOL": 2,
"PLANT": "R", "IRRIG": "R", "FERTI": "R", "RESID": "R", "HARVS": "M",
}
for key, val in pars.items(): man.simulation_controls[key] = val
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'dssat_test'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
harwt = int(dssat.stdout.split("\n")[-1].split()[6])
assert np.isclose(2495, harwt, rtol=0.01)
def test_run_canola():
crop = Crop('canola')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_run_sunflower():
crop = Crop('sunflower')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_run_potato():
crop = Crop('potato')
man = Management(
planting_date=DATES[10],
)
man.planting_details['PLWT'] = 1500
man.planting_details['SPRL'] = 2
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_run_potato_no_transplanting():
crop = Crop('potato')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
with pytest.raises(AssertionError) as excinfo:
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert 'transplanting parameters are mandatory' in str(excinfo.value)
def test_run_tomato():
"""
Experiment UFBR9401, treatment 4
"""
crop = Crop('Tomato', "TM0007")
soil = SoilProfile("tests/input_files/SOIL.SOL", "UFBR950001")
### Build weather from existing weather files
df = pd.read_csv(f"tests/input_files/UFBR9401.WTH", skiprows=4, sep="\s+")
df.index = pd.to_datetime(df["@DATE"], format="%y%j")
wth = Weather(
df, {"TMIN": "TMIN", "SRAD": "SRAD", "RAIN": "RAIN", "TMAX": "TMAX"},
lat=27.600, lon=-82.600, elev=10,
)
### Define management
man = Management(
planting_date=datetime.strptime("94060", "%y%j"),
)
# *INITIAL CONDITIONS
# @C PCR ICDAT ICRT ICND ICRN ICRE ICWD ICRES ICREN ICREP ICRIP ICRID ICNAME
# 1 PR 94060 1 0 1 1 -99 0 0 0 100 15 -99
# @C ICBL SH2O SNH4 SNO3
# 1 18 .133 .5 2
# 1 36 .222 .5 2
# 1 50 .3 .5 2
# 1 74 .389 0 0
# 1 81 .4 0 0
# 1 119 .4 0 0
# 1 173 .4 0 0
# 1 190 .4 0 0
# 1 203 .4 0 0
pars = {
"PCR": "PR", "ICDAT": "94060", "ICRT": 1, "ICND": 0, "ICRN": 1,
"ICRE": 1, "ICRES": 0, "ICREN": 0, "ICRIP": 100, "ICRID": 15,
}
for key, val in pars.items(): man.initial_conditions[key] = val
man.initial_conditions["table"] = TabularSubsection({
'ICBL': [18, 36, 50, 74, 81, 119, 173, 190, 203],
'SH2O': [.133, .222, .3, .389, .4, .4, .4, .4, .4],
'SNH4': [.5, .5, .5, 0, 0, 0, 0, 0, 0],
'SNO3': [2, 2, 2, 0, 0, 0, 0, 0, 0]
})
# *PLANTING DETAILS
# @P PDATE EDATE PPOP PPOE PLME PLDS PLRS PLRD PLDP PLWT PAGE PENV PLPH SPRL PLNAME
# 1 94060 -99 1.1 1.1 T R 152 90 1 3 25 25 1 0 -99
pars = {
"PPOP": 1.1, "PPOE": 1.1, "PLME": "T", "PLDS": "R", "PLRS": 152, "PLRD": 90,
"PLDP": 1, "PLWT": 3, "PAGE": 25, "PENV": 25, "PLPH": 1, "SPRL": 0
}
for key, val in pars.items(): man.planting_details[key] = val
# *HARVEST DETAILS
# @H HDATE HSTG HCOM HSIZE HPC HBPC HNAME
# 1 94160 GS000 -99 -99 -99 0
man.harvest_details["HDATE"] = "94160"
man.harvest_details["HSTG"] = "GS000"
# *FERTILIZERS (INORGANIC)
# @F FDATE FMCD FACD FDEP FAMN FAMP FAMK FAMC FAMO FOCD FERNAME
# 4 94050 FE001 AP001 10 255 0 0 0 0 -99 -99
man.fertilizers["table"].loc[1] = (
"94050", "FE001", "AP001", 10, 255, 0, 0, 0, 0, None, None
)
# *IRRIGATION AND WATER MANAGEMENT
# @I EFIR IDEP ITHR IEPT IOFF IAME IAMT IRNAME
# 1 .95 5 -99 -99 -99 -99 -99 -99
# @I IDATE IROP IRVAL
# 1 94061 IR007 3
# 1 94062 IR007 3
# . ..... ..... .
# 1 94174 IR007 5
# 1 94175 IR007 5
man.irrigation["EFIR"] = .95
man.irrigation["IDEP"]= 5
man.irrigation["table"] = TabularSubsection({
'IDATE': [
'94061','94062','94063','94064','94065','94066','94067','94068',
'94069','94070','94071','94072','94073','94074','94075','94076',
'94077','94078','94079','94080','94081','94082','94083','94084',
'94085','94086','94087','94088','94089','94090','94091','94092',
'94093','94094','94095','94096','94097','94098','94099','94100',
'94101','94102','94103','94104','94105','94106','94107','94108',
'94109','94110','94111','94112','94113','94113','94114','94115',
'94116','94117','94118','94119','94120','94121','94122','94123',
'94124','94125','94126','94127','94128','94129','94130','94131',
'94132','94133','94134','94135','94136','94137','94138','94139',
'94140','94141','94142','94143','94144','94145','94146','94147',
'94148','94149','94150','94151','94152','94153','94154','94155',
'94156','94157','94158','94159','94160','94161','94162','94163',
'94164','94165','94166','94167','94168','94169','94160','94161',
'94162','94163','94164','94165','94166','94167','94168','94169',
'94170','94171','94172','94173','94174','94175'
],
'IROP': ["IR007"]*126,
'IVAL': [
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,4,4,3,3,4,3,3,4,4,3,3,3,4,
4,4,3,4,4,4,4,4,4,5,4,4,4,4,4,4,4,4,3,3,4,4,3,4,4,4,5,5,4,5,5,5,
5,5,5,5,4,5,4,5,4,4,5,5,5,3,3,5,4,5,5,5,5,5,5,5,5,4,4,5,5,3,2,2,
4,4,3,3,5,5,5,6,6,4,6,6,6,6,6,6,6,6,6,6,6,6,6,5,5,5,5,5,5,5
],
})
# *SIMULATION CONTROLS
# @N GENERAL NYERS NREPS START SDATE RSEED SNAME.................... SMODEL
# 1 GE 1 1 S 94050 2150 FERT TRIAL
# @N OPTIONS WATER NITRO SYMBI PHOSP POTAS DISES CHEM TILL CO2
# 1 OP N N N N N N N N M
# @N METHODS WTHER INCON LIGHT EVAPO INFIL PHOTO HYDRO NSWIT MESOM MESEV MESOL
# 1 ME M M E R S L R 1 G R 2
# @N MANAGEMENT PLANT IRRIG FERTI RESID HARVS
# 1 MA R A R N M
# @N OUTPUTS FNAME OVVEW SUMRY FROPT GROUT CAOUT WAOUT NIOUT MIOUT DIOUT VBOSE CHOUT OPOUT FMOPT
# 1 OU N Y Y 1 Y Y Y Y N N Y N N A
pars = {
"SDATE": "94050", "RSEED": 2150,
"WATER": "N", "NITRO": "N", "CO2": "M", "WTHER": "M", "INCON": "M",
"LIGHT": "E", "EVAPO": "R", "INFIL": "S", "PHOTO": "L", "HYDRO": "R",
"NSWIT": 1, "MESOM": "G", "MESEV": "R", "MESOL": 2, "PLANT": "R",
"IRRIG": "A", "FERTI": "R", "RESID": "N", "HARVS": "M",
}
for key, val in pars.items(): man.simulation_controls[key] = val
# @ AUTOMATIC MANAGEMENT
# @N PLANTING PFRST PLAST PH2OL PH2OU PH2OD PSTMX PSTMN
# 1 PL 10099 10099 40 100 30 45 40
# @N IRRIGATION IMDEP ITHRL ITHRU IROFF IMETH IRAMT IREFF
# 1 IR 30 80 100 GS000 SI001 10 1
# @N NITROGEN NMDEP NMTHR NAMNT NCODE NAOFF
# 1 NI 200 50 25 SI001 SI001
# @N RESIDUES RIPCN RTIME RIDEP
# 1 RE 100 60 20
# @N HARVEST HFRST HLAST HPCNP HPCNR
# 1 HA 160 94160 75 0
pars = {
"IMDEP": 30, "ITHRL": 80, "ITHRU": 100, "IROFF": "GS000",
"IMETH": "SI001", "IRAMT": 10, "IREFF": 1
}
for key, val in pars.items(): man.automatic_management[key] = val
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'dssat_test'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
harwt = int(dssat.stdout.split("\n")[-1].split()[6])
assert np.isclose(6360, harwt, rtol=0.01)
# dssat.close()
def test_run_cabbage():
crop = Crop('cabbage')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_run_sugarcane():
crop = Crop('Sugarcane')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_sc'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_run_wheat():
"""
KSAS8101 experiment, treatment 1
"""
crop = Crop('Wheat', "IB0488")
soil = SoilProfile("tests/input_files/SOIL.SOL", "IBWH980018")
# Management
df = pd.DataFrame()
for year in range(81, 83):
df = pd.concat(
[df, pd.read_csv(f"tests/input_files/wheat/KSAS{year}01.WTH", skiprows=4, sep="\s+")],
ignore_index=True
)
df.index = pd.to_datetime(df["@DATE"], format="%y%j")
wth = Weather(
df, {"TMIN": "TMIN", "SRAD": "SRAD", "RAIN": "RAIN", "TMAX": "TMAX"},
lat=37.18, lon=-99.75, elev=226, tav=12., amp=32
)
man = Management(
planting_date=datetime.strptime("81289", "%y%j"),
)
# Initial conditions
pars = {
"PCR": "WH", "ICDAT": "81279", "ICRT": 1200, "ICND": 0, "ICRN": 1,
"ICRE": 1, "ICRES": 6500, "ICREN": 1.14, "ICREP": 0, "ICRIP": 100,
"ICRID": 15,
}
for key, val in pars.items(): man.initial_conditions[key] = val
man.initial_conditions["table"] = TabularSubsection(pd.DataFrame(
[( 15, .205, 3.4, 9.8),
( 30, .17, 3.2, 7.3),
( 60, .092, 2.5, 5.1),
( 90, .065, 2.2, 4.7),
( 120, .066, 2.7, 4.3),
( 150, .066, 2.7, 4.3),
( 180, .066, 2.7, 4.3)],
columns=["ICBL", "SH2O", "SNH4", "SNO3"]
))
# Planting
pars = {
"EDATE": None, "PPOP": 162, "PPOE": 162, "PLME": "S", "PLRS": 16,
"PLRD": 0, "PLDP": 5.5
}
for key, val in pars.items(): man.planting_details[key] = val
# Simulation controls
pars = {
"WATER": "Y", "NITRO": "Y", "CO2": "M", "WTHER": "M", "INCON": "M",
"LIGHT": "E", "EVAPO": "R", "INFIL": "S", "PHOTO": "C", "HYDRO": "R",
"NSWIT": 1, "MESOM": "G", "MESEV": "S", "MESOL": 2, "PLANT": "R",
"IRRIG": "R", "FERTI": "R", "RESID": "N", "HARVS": "M", "SDATE": 81279,
"RSEED": 2150, "NIOUT": "Y", "CAOUT": "N",
}
for key, val in pars.items(): man.simulation_controls[key] = val
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_wh'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
harwt = int(dssat.stdout.split("\n")[-1].split()[6])
assert np.isclose(2417, harwt, rtol=0.01)
def test_close():
crop = Crop('cabbage')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(TMP, 'test_mz'))
dssat.close()
assert not os.path.exists(os.path.join(TMP, 'test_mz'))
def test_issue_1():
# https://github.com/daquinterop/Py_DSSATTools/issues/1
crop = Crop('soybean', 'IB0011')
man = Management(
planting_date=DATES[10],
irrigation='A',
fertilization='A'
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
assert crop.cultivar['LFMAX'] == 1.020
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
final_yield = int(dssat.output['PlantGro']['GWAD'].max())
crop.cultivar['LFMAX'] = 1.35
assert crop.cultivar['LFMAX'] == 1.35
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert dssat.output['PlantGro']['GWAD'].max() != final_yield
def test_set_crop_parameter_and_run():
crop = Crop('maize', 'IB0011')
assert crop.cultivar['PHINT'] == 38.9
crop.cultivar['PHINT'] = 30.
assert crop.cultivar['PHINT'] == 30.
man = Management(
planting_date=DATES[10],
irrigation='A',
fertilization='A'
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
def test_issue_11():
crop = Crop('maize')
man = Management(
planting_date=DATES[10],
)
crop.cultivar['P5'] = 1100.
crop.cultivar['G2'] = 1050.
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert os.path.exists(os.path.join(dssat._RUN_PATH, 'Summary.OUT'))
def test_outputs():
"""
Test that different outputs are saved if they have been defined in the
simulation_controls
"""
crop = Crop('maize')
man = Management(
planting_date=DATES[10],
)
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
outputs = ['PlantGro', "Weather", "SoilWat", "SoilOrg"]
assert all(map(lambda x: x in outputs, dssat.output))
man.simulation_controls["GROUT"] = "N"
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert all(
map(lambda x: (x in ["SoilWat", "SoilOrg"])
and (x not in ['PlantGro', "Weather"])
,dssat.output)
)
assert all(map(lambda x: x in outputs, dssat.output))
man.simulation_controls["WAOUT"] = "N"
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
assert all(
map(lambda x: (x in ["SoilOrg"])
and (x not in ['PlantGro', "Weather", "SoilWat"])
,dssat.output)
)
man.simulation_controls["CAOUT"] = "N"
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
with pytest.warns(UserWarning, match='No output has been'):
dssat.output
def test_no_wat_sim():
crop = Crop('maize')
man = Management(
planting_date=DATES[10],
)
man.simulation_controls["WATER"] = "N"
dssat = DSSAT()
dssat.setup(cwd=os.path.join(TMP, 'test_mz'))
dssat.run(
soil=soil, weather=wth, crop=crop, management=man,
)
def test_setup_setup_deprecation():
dssat = DSSAT()
with pytest.warns(DeprecationWarning, match='calling setup method is not longer needed'):
dssat.setup()
if __name__ == '__main__':
test_run_sorghum()