def post(self):
form = cgi.FieldStorage()
# print form
args={}
for key in form:
args[key] = form.getvalue(key)
args["run_type"] = "single"
przm_obj = przm_model.przm(args)
# logger.info(vars(przm_obj))
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "PRZM Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'przm','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'przm',
'model_attributes':'PRZM Output'})
html = html + przm_tables.timestamp(przm_obj)
html = html + przm_tables.table_all(przm_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, przm_obj.__dict__, 'przm', 'single')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
#Get variables needed to construct terrplant object
version_terrplant = form.getvalue('version_terrplant')
I = form.getvalue('incorporation')
A = form.getvalue('application_rate')
D = form.getvalue('drift_fraction')
R = form.getvalue('runoff_fraction')
nms = form.getvalue('EC25_for_nonlisted_seedling_emergence_monocot')
nds = form.getvalue('EC25_for_nonlisted_seedling_emergence_dicot')
lms = form.getvalue('NOAEC_for_listed_seedling_emergence_monocot')
lds = form.getvalue('NOAEC_for_listed_seedling_emergence_dicot')
#fill out terrplant object with yet to be used data
chemical_name = form.getvalue('chemical_name')
# terr.chemical_name = chemical_name
pc_code = form.getvalue('pc_code')
# terr.pc_code = pc_code
use = form.getvalue('use')
# terr.use = use
application_method = form.getvalue('application_method')
# terr.application_method = application_method
application_form = form.getvalue('application_form')
# terr.application_form = application_form
solubility = form.getvalue('solubility')
# terr.sol = sol
terr = terrplant_model.terrplant(True,True,version_terrplant,"single",A,I,R,D,nms,lms,nds,lds,chemical_name,pc_code,use,application_method,application_form,solubility)
nmv = form.getvalue('EC25_for_nonlisted_vegetative_vigor_monocot')
terr.nmv = nmv
ndv = form.getvalue('EC25_for_nonlisted_vegetative_vigor_dicot')
terr.ndv = ndv
lmv = form.getvalue('NOAEC_for_listed_vegetative_vigor_monocot')
terr.lmv = lmv
ldv = form.getvalue('NOAEC_for_listed_vegetative_vigor_dicot')
terr.ldv = ldv
logger.info(terr.__dict__)
text_file = open('terrplant/terrplant_description.txt','r')
x = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "TerrPlant Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'terrplant','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html',{
'model':'terrplant',
'model_attributes':'TerrPlant Output'})
html = html + terrplant_tables.timestamp(terr)
html = html + terrplant_tables.table_all(terrplant_tables.pvheadings, terrplant_tables.pvuheadings,terrplant_tables.deheadings,
terrplant_tables.plantec25noaecheadings,terrplant_tables.plantecdrysemisprayheadings,
terrplant_tables.sumheadings, terrplant_tables.tmpl, terr)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, terr.__dict__, "terrplant", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chemical_name = form.getvalue('chemical_name')
label_epa_reg_no = form.getvalue('label_epa_reg_no')
ar_lb = form.getvalue('application_rate')
frac_pest_surface = form.getvalue('frac_pest_assumed_at_surface')
dislodge_fol_res = form.getvalue('dislodgeable_foliar_residue')
bird_acute_oral_study = form.getvalue('bird_acute_oral_study')
bird_study_add_comm = form.getvalue('bird_study_add_comm')
low_bird_acute_ld50 = form.getvalue('low_bird_acute_oral_ld50')
test_bird_bw = form.getvalue('tested_bird_body_weight')
mamm_acute_derm_study = form.getvalue('mamm_acute_derm_study')
mamm_study_add_comm = form.getvalue('mamm_study_add_comm')
#aviandermaltype = form.getvalue('aviandermaltype')
mam_acute_derm_ld50 = form.getvalue('mamm_acute_derm_ld50')
mam_acute_oral_ld50 = form.getvalue('mam_acute_oral_ld50')
test_mam_bw = form.getvalue('tested_mamm_body_weight')
mineau_scaling_factor = float(form.getvalue('mineau_scaling_factor'))
dust_obj = dust_model.dust(True, False, 'single',chemical_name, label_epa_reg_no, ar_lb, frac_pest_surface, dislodge_fol_res, bird_acute_oral_study, bird_study_add_comm,
low_bird_acute_ld50, test_bird_bw, mineau_scaling_factor, mamm_acute_derm_study, mamm_study_add_comm, mam_acute_derm_ld50, mam_acute_oral_ld50, test_mam_bw, None)
#print vars(dust_obj)
# client = pymongo.MongoClient()
# # print client
# db = client.test_database
# posts = db.posts
# user_names={"user":"******"}
# dust_save = dict(dust_obj.__dict__,**user_names)
# posts.insert(dust_save)
# print db
# print posts
# print posts.find_one({"user":"******"})
# for post in posts.find({"user":"******"}):
# print post
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "DUST Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'dust','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'dust',
'model_attributes':'DUST Output'})
html = html + dust_tables.timestamp(dust_obj)
html = html + dust_tables.table_all(dust_obj)[0]
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, dust_obj.__dict__, "dust", "single")
self.response.out.write(html)
def get(self):
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "TREX 1.5.2 QA/QC")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'trex2','page':'qaqc'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'therps',
'model_attributes':'T-Rex QAQC'})
html = html + html_qaqc
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {'sub_title': ''})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, trex2_obj.__dict__, 'trex2', 'qaqc')
self.response.out.write(html)
def get(self):
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "SIP QA/QC")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'sip','page':'qaqc'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'sip',
'model_attributes':'SIP QAQC'})
html = html + sip_tables.timestamp(sip_obj)
html = html + sip_tables.table_all_qaqc(sip_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {'sub_title': ''})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, sip_obj.__dict__, 'sip', 'qaqc')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chemical_name = form.getvalue('chemical_name')
# select_receptor = form.getvalue('select_receptor')
# bw_bird = form.getvalue('body_weight_of_bird')
# bw_mamm = form.getvalue('body_weight_of_mammal')
sol = form.getvalue('solubility')
ld50_a = form.getvalue('ld50_a')
ld50_m = form.getvalue('ld50_m')
aw_bird = form.getvalue('aw_bird')
# tw_bird = form.getvalue('body_weight_of_the_tested_bird')
aw_mamm = form.getvalue('aw_mamm')
# tw_mamm = form.getvalue('body_weight_of_the_tested_mammal')
mineau = form.getvalue('mineau_scaling_factor')
noael = form.getvalue('NOAEL')
noaec_d = form.getvalue('NOAEC_d')
noaec_q = form.getvalue('NOAEC_q')
noaec_o = form.getvalue('NOAEC_o')
# noaec_o2 = form.getvalue('NOAEC_o2')
Species_of_the_bird_NOAEC_CHOICES = form.getvalue('NOAEC_species')
bw_quail = form.getvalue('bw_quail')
bw_duck = form.getvalue('bw_duck')
bwb_other = form.getvalue('bwb_other')
bw_rat = form.getvalue('bw_rat')
bwm_other = form.getvalue('bwm_other')
b_species = form.getvalue('b_species')
m_species = form.getvalue('m_species')
sip_obj = sip_model.sip(True,True,'single',chemical_name, b_species, m_species, bw_quail, bw_duck, bwb_other, bw_rat, bwm_other, sol, ld50_a, ld50_m, aw_bird, mineau, aw_mamm, noaec_d, noaec_q, noaec_o, Species_of_the_bird_NOAEC_CHOICES, noael)
text_file = open('sip/sip_description.txt','r')
x = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "SIP Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'sip','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'sip',
'model_attributes':'SIP Output'})
html = html + sip_tables.timestamp(sip_obj)
html = html + sip_tables.table_all(sip_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, sip_obj.__dict__, "sip", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chem_name = form.getvalue('chemical_name')
scenarios =form.getvalue('scenarios')
farm =form.getvalue('farm_pond')
mw = form.getvalue('molecular_weight')
sol = form.getvalue('solubility')
koc = form.getvalue('Koc')
vp = form.getvalue('vapor_pressure')
aem = form.getvalue('aerobic_aquatic_metabolism')
anm = form.getvalue('anaerobic_aquatic_metabolism')
aqp = form.getvalue('aquatic_direct_photolysis')
tmper = form.getvalue('temperature')
n_ph = float(form.getvalue('n_ph'))
ph_out = []
hl_out = []
for i in range(int(n_ph)):
j=i+1
ph_temp = form.getvalue('ph'+str(j))
ph_out.append(float(ph_temp))
hl_temp = float(form.getvalue('hl'+str(j)))
hl_out.append(hl_temp)
exams_obj = exams_model.exams(chem_name, scenarios, farm, mw, sol, koc, vp, aem, anm, aqp, tmper, n_ph, ph_out, hl_out)
# logging.info(vars(exams_obj))
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "EXAMS Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'exams','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'exams',
'model_attributes':'EXAMS Output'})
html = html + exams_tables.timestamp(exams_obj)
html = html + exams_tables.table_all(exams_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, exams_obj.__dict__, 'exams', 'single')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
args={}
for key in form:
args[key] = form.getvalue(key)
args["run_type"] = "single"
vvwm_obj = vvwm_model.vvwm(args)
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "VVWM Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'vvwm','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'vvwm',
'model_attributes':'VVWM Output'})
html = html + vvwm_tables.table_all(vvwm_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
html = html + template.render(templatepath + 'vvwm_output_jquery.html', {'jid': vvwm_obj.jid})
rest_funcs.save_dic("", vvwm_obj.__dict__, 'vvwm', 'single')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
LC50 = float(form.getvalue('LC50'))
threshold = float(form.getvalue('threshold'))
dose_response = float(form.getvalue('dose_response'))
iec_obj = iec_model.iec(True,True,'single',dose_response, LC50, threshold, None)
text_file = open('iec/iec_description.txt','r')
x1 = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "IEC Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'iec','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'iec',
'model_attributes':'IEC Output'})
html = html + iec_tables.timestamp(iec_obj)
html = html + iec_tables.table_all(iec_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, iec_obj.__dict__, "iec", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chem_name = form.getvalue("chemical_name")
application_target = form.getvalue("application_target")
application_rate = form.getvalue("application_rate")
number_of_applications = form.getvalue("number_of_applications")
interval_between_applications = form.getvalue("interval_between_applications")
Koc = form.getvalue("Koc")
aerobic_soil_metabolism = form.getvalue("aerobic_soil_metabolism")
wet_in = form.getvalue("wet_in")
application_method = form.getvalue("application_method")
# A1
aerial_size_dist = form.getvalue("aerial_size_dist")
# B1
ground_spray_type = form.getvalue("ground_spray_type")
# C1
airblast_type = form.getvalue("airblast_type")
# B2
spray_quality = form.getvalue("spray_quality")
no_spray_drift = form.getvalue("no_spray_drift")
incorporation_depth = form.getvalue("incorporation_depth")
solubility = form.getvalue("solubility")
aerobic_aquatic_metabolism = form.getvalue("aerobic_aquatic_metabolism")
hydrolysis = form.getvalue("hydrolysis")
photolysis_aquatic_half_life = form.getvalue("photolysis_aquatic_half_life")
if application_method == "a" or application_method == "c":
incorporation_depth = 0
if application_method == "d":
no_spray_drift = 0
if aerobic_aquatic_metabolism > 0:
hydrolysis_label = "NA"
else:
hydrolysis_label = hydrolysis
################label selection###################################
if application_method == "a":
application_method_label = "Aerial Spray"
if aerial_size_dist == "a":
aerial_size_dist_label = "Very Fine to Fine"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "NA"
elif aerial_size_dist == "b":
aerial_size_dist_label = "Fine to Medium (EFED Default)"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "NA"
elif aerial_size_dist == "c":
aerial_size_dist_label = "Medium to Coarse"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "NA"
else:
aerial_size_dist_label = "Coarse to Very Coarse"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "NA"
elif application_method == "b":
application_method_label = "Ground Spray"
if ground_spray_type == "a":
if spray_quality == "a":
aerial_size_dist_label = "NA"
ground_spray_type_label = 'Low Boom Ground Spray (20" or less)'
spray_quality_label = "Fine (EFED Default)"
airblast_type_label = "NA"
else:
aerial_size_dist_label = "NA"
ground_spray_type_label = 'Low Boom Ground Spray (20" or less)'
spray_quality_label = "Medium-Coarse"
airblast_type_label = "NA"
else:
if spray_quality == "a":
aerial_size_dist_label = "NA"
ground_spray_type_label = 'High Boom Ground Spray (20-50"; EFED Default)'
spray_quality_label = "Fine (EFED Default)"
airblast_type_label = "NA"
else:
aerial_size_dist_label = "NA"
ground_spray_type_label = 'High Boom Ground Spray (20-50"; EFED Default)'
spray_quality_label = "Medium-Coarse"
airblast_type_label = "NA"
elif application_method == "c":
application_method_label = "Airblast Spray (Orchard & Vineyard)"
if airblast_type == "a":
aerial_size_dist_label = "NA"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "Orchards and Dormant Vineyards"
else:
aerial_size_dist_label = "NA"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "Foliated Vineyards"
else:
application_method_label = "NA"
aerial_size_dist_label = "NA"
ground_spray_type_label = "NA"
spray_quality_label = "NA"
airblast_type_label = "NA"
##########################################################################################
geneec_obj = geneec_model.geneec(
"single",
chem_name,
application_target,
application_rate,
number_of_applications,
interval_between_applications,
Koc,
aerobic_soil_metabolism,
wet_in,
application_method,
application_method_label,
aerial_size_dist,
ground_spray_type,
airblast_type,
spray_quality,
no_spray_drift,
incorporation_depth,
solubility,
aerobic_aquatic_metabolism,
hydrolysis,
photolysis_aquatic_half_life,
)
templatepath = os.path.dirname(__file__) + "/../templates/"
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "GENEEC Output")
html = html + template.render(
templatepath + "02uberintroblock_wmodellinks.html", {"model": "geneec", "page": "output"}
)
html = html + template.render(templatepath + "03ubertext_links_left.html", {})
html = html + template.render(
templatepath + "04uberoutput_start.html", {"model": "geneec", "model_attributes": "GENEEC Output"}
)
html = html + geneec_tables.timestamp(geneec_obj)
html = html + geneec_tables.table_all(geneec_obj)
html = html + template.render(templatepath + "export.html", {})
html = html + template.render(templatepath + "04uberoutput_end.html", {})
html = html + template.render(templatepath + "06uberfooter.html", {"links": ""})
rest_funcs.save_dic(html, geneec_obj.__dict__, "geneec", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
# args={}
#for keys in form:
# args[keys]=form.getvalue(keys)
drop_size = form.getvalue('drop_size')
ecosystem_type = form.getvalue('ecosystem_type')
application_method = form.getvalue('application_method')
boom_height = form.getvalue('boom_height')
orchard_type = form.getvalue('orchard_type')
application_rate = form.getvalue('application_rate')
aquatic_type = form.getvalue('aquatic_type')
distance = form.getvalue('distance')
calculation_input = form.getvalue('calculation_input')
# init_avg_dep_foa = form.getvalue('init_avg_dep_foa')
# avg_depo_gha = form.getvalue('avg_depo_gha')
# avg_depo_lbac = form.getvalue('avg_depo_lbac')
# deposition_ngL = form.getvalue('deposition_ngL')
# deposition_mgcm = form.getvalue('deposition_mgcm')
# nasae = form.getvalue('nasae')
# y = form.getvalue('y')
# x = form.getvalue('x')
# express_y = form.getvalue('express_y')
agdrift_obj = agdrift_model.agdrift(True, True, 'single',drop_size, ecosystem_type, application_method, boom_height, orchard_type, application_rate, distance, aquatic_type, calculation_input, None)
text_file = open('agdrift/agdrift_description.txt','r')
x = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "AgDrift Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'agdrift','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'agdrift',
'model_attributes':'AgDrift Output'})
html = html + agdrift_tables.timestamp(agdrift_obj)
html = html + agdrift_tables.table_all(agdrift_obj)
# <H3 class="out_1 collapsible" id="section1"><span></span>User Inputs</H3>
# <div class="out_">
# <table class="out_">
# <tr>
# <th colspan="2">Inputs: Chemical Identity</th>
# </tr>
# <tr>
# <td>Application method</td>
# <td id="app_method_val">%s</td>
# </tr>
# <tr id="Orc_type">
# <td>Orchard type</td>
# <td>%s</td>
# </tr>
# <tr>
# <td>Drop size</td>
# <td>%s</td>
# </tr>
# <tr>
# <td>Ecosystem type</td>
# <td>%s</td>
# </tr>
# </table>
# </div>
# """ % (application_method, orchard_type, drop_size, ecosystem_type)
# html = html + """
# <table style="display:none;">
# <tr>
# <td>distance</td>
# <td id="distance">%s</td>
# </tr>
# <tr>
# <td>deposition</td>
# <td id="deposition">%s</td>
# </tr>
# </table>
# <br>
# <h3 class="out_2 collapsible" id="section2"><span></span>Results</h3>
#<div>
# """%(results[0], results[1])
html = html + template.render(templatepath + 'agdrift-output-jqplot_header.html', {})
html = html + """
</div>
"""
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, agdrift_obj.__dict__, "agdrift", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
#print form
# args={}
#for keys in form:
# args[keys]=form.getvalue(keys)
drop_size = form.getvalue('drop_size')
ecosystem_type = form.getvalue('ecosystem_type')
application_method = form.getvalue('application_method')
boom_height = form.getvalue('boom_height')
orchard_type = form.getvalue('orchard_type')
# application_rate = form.getvalue('application_rate')
aquatic_type = form.getvalue('aquatic_type')
distance = form.getvalue('distance')
calculation_input = form.getvalue('calculation_input')
# init_avg_dep_foa = form.getvalue('init_avg_dep_foa')
# avg_depo_gha = form.getvalue('avg_depo_gha')
# avg_depo_lbac = form.getvalue('avg_depo_lbac')
# deposition_ngL = form.getvalue('deposition_ngL')
# deposition_mgcm = form.getvalue('deposition_mgcm')
# nasae = form.getvalue('nasae')
# y = form.getvalue('y')
# x = form.getvalue('x')
# express_y = form.getvalue('express_y')
chem_name = form.getvalue('chemical_name')
use = form.getvalue('Use')
formu_name = form.getvalue('Formulated_product_name')
a_i = form.getvalue('percent_ai')
# print a_i
a_i = float(a_i)/100
Application_type = form.getvalue('Application_type')
seed_crop = float(form.getvalue('seed_crop'))
seed_crop_v = form.getvalue('seed_crop_v')
p_i = form.getvalue('percent_incorporated')
p_i = float(p_i)/100
seed_treatment_formulation_name = form.getvalue('seed_treatment_formulation_name')
den = form.getvalue('density_of_product')
den = float(den)
m_s_r_p = form.getvalue('maximum_seedling_rate_per_use')
m_s_r_p = float(m_s_r_p)
r_s = form.getvalue('row_sp')
r_s=float(r_s)
b_w = form.getvalue('bandwidth') #convert to ft
b_w = float(b_w)/12
if Application_type=='Seed Treatment':
n_a = 1
else:
n_a = float(form.getvalue('noa'))
rate_out = []
day_out = [0]
for i in range(int(n_a)):
j=i+1
rate_temp = form.getvalue('rate'+str(j))
rate_out.append(float(rate_temp))
# day_temp = float(form.getvalue('day'+str(j)))
# day_out.append(day_temp)
h_l = form.getvalue('Foliar_dissipation_half_life')
ld50_bird = form.getvalue('avian_ld50')
lc50_bird = form.getvalue('avian_lc50')
NOAEC_bird = float(form.getvalue('avian_NOAEC'))
try:
NOAEL_bird = float(form.getvalue('avian_NOAEL'))
except:
NOAEL_bird = 'N/A'
aw_bird_sm = form.getvalue('body_weight_of_the_assessed_bird_small')
aw_bird_sm = float(aw_bird_sm)
aw_bird_md = form.getvalue('body_weight_of_the_assessed_bird_medium')
aw_bird_md = float(aw_bird_md)
aw_bird_lg = form.getvalue('body_weight_of_the_assessed_bird_large')
aw_bird_lg = float(aw_bird_lg)
Species_of_the_tested_bird_avian_ld50 = form.getvalue('Species_of_the_tested_bird_avian_ld50')
Species_of_the_tested_bird_avian_lc50 = form.getvalue('Species_of_the_tested_bird_avian_lc50')
Species_of_the_tested_bird_avian_NOAEC = form.getvalue('Species_of_the_tested_bird_avian_NOAEC')
Species_of_the_tested_bird_avian_NOAEL = form.getvalue('Species_of_the_tested_bird_avian_NOAEL')
tw_bird_ld50 = float(form.getvalue('bw_avian_ld50'))
tw_bird_lc50 = float(form.getvalue('bw_avian_lc50'))
tw_bird_NOAEC = float(form.getvalue('bw_avian_NOAEC'))
tw_bird_NOAEL = float(form.getvalue('bw_avian_NOAEL'))
x = form.getvalue('mineau_scaling_factor')
ld50_mamm = form.getvalue('mammalian_ld50')
try:
lc50_mamm = float(form.getvalue('mammalian_lc50'))
except:
lc50_mamm = 'N/A'
NOAEC_mamm = form.getvalue('mammalian_NOAEC')
NOAEC_mamm = float(NOAEC_mamm)
NOAEL_mamm = form.getvalue('mammalian_NOAEL')
aw_mamm_sm = form.getvalue('body_weight_of_the_assessed_mammal_small')
aw_mamm_sm = float(aw_mamm_sm)
aw_mamm_md = form.getvalue('body_weight_of_the_assessed_mammal_medium')
aw_mamm_md = float(aw_mamm_md)
aw_mamm_lg = form.getvalue('body_weight_of_the_assessed_mammal_large')
aw_mamm_lg = float(aw_mamm_lg)
tw_mamm = form.getvalue('body_weight_of_the_tested_mammal')
tw_mamm = float(tw_mamm)
agdrift_obj = agdrift_model.agdrift(True, True, 'single', drop_size, ecosystem_type, application_method, boom_height, orchard_type, rate_out[0], distance, aquatic_type, calculation_input, None)
x_agdrif=agdrift_obj.x
trex_obj = trex2_model.trex2('single', chem_name, use, formu_name, a_i, Application_type, seed_treatment_formulation_name, seed_crop, seed_crop_v, r_s, b_w, p_i, den, h_l, n_a, [agdrift_obj.init_avg_dep_foa*i for i in rate_out], day_out,
ld50_bird, lc50_bird, NOAEC_bird, NOAEL_bird, aw_bird_sm, aw_bird_md, aw_bird_lg,
Species_of_the_tested_bird_avian_ld50, Species_of_the_tested_bird_avian_lc50, Species_of_the_tested_bird_avian_NOAEC, Species_of_the_tested_bird_avian_NOAEL,
tw_bird_ld50, tw_bird_lc50, tw_bird_NOAEC, tw_bird_NOAEL, x, ld50_mamm, lc50_mamm, NOAEC_mamm, NOAEL_mamm, aw_mamm_sm, aw_mamm_md, aw_mamm_lg, tw_mamm,
m_s_r_p)
# templatepath = os.path.dirname(__file__) + '/../templates/'
# ChkCookie = self.request.cookies.get("ubercookie")
# html = uber_lib.SkinChk(ChkCookie, "AgDrift-TREX Output")
# html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'agdrift_trex','page':'output'})
# html = html + template.render (templatepath + '03ubertext_links_left.html', {})
# html = html + template.render(templatepath + '04uberoutput_start.html', {
# 'model':'agdrift_trex',
# 'model_attributes':'AgDrift-T-Rex Output'})
# html = html + agdrift_trex_tables.timestamp(agdrift_obj)
# html = html + agdrift_tables.table_all(agdrift_obj)
# html = html + trex2_tables.table_all(trex_obj)[0]
# html = html + template.render(templatepath + 'agdrift-output-jqplot_header.html', {})
# html = html + template.render(templatepath + 'export.html', {})
# html = html + template.render(templatepath + '04uberoutput_end.html', {})
# html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
#Note: If you need to rebuild the output page based on saved class,
#variables named x_agdrif and x_trex in the class agdrift_trex_obj
#are x in their own instance (agdrift_obj.x, trex_obj.x).
agdrift_trex_obj = merge(agdrift_obj, trex_obj)
agdrift_trex_obj.x_agdrif=x_agdrif
agdrift_trex_obj.x_trex=trex_obj.x
logging.info(vars(agdrift_trex_obj))
rest_funcs.save_dic(html, agdrift_trex_obj.__dict__, "agdrift_trex", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
######Chemical#######
wat_hl = form.getvalue('wat_hl')
wat_t = form.getvalue('wat_t')
ben_hl = form.getvalue('ben_hl')
ben_t = form.getvalue('ben_t')
unf_hl = form.getvalue('unf_hl')
unf_t = form.getvalue('unf_t')
aqu_hl = form.getvalue('aqu_hl')
aqu_t = form.getvalue('aqu_t')
hyd_hl = form.getvalue('hyd_hl')
mw = form.getvalue('mw')
vp = form.getvalue('vp')
sol = form.getvalue('sol')
koc = form.getvalue('koc')
hea_h = form.getvalue('hea_h')
hea_r_t = form.getvalue('hea_r_t')
######Application#######
noa = form.getvalue('noa')
mm_out = np.zeros(shape=(int(noa),1))
dd_out = np.zeros(shape=(int(noa),1))
ma_out = np.zeros(shape=(int(noa),1))
sr_out = np.zeros(shape=(int(noa),1))
for i in range(int(noa)):
j=i+1
mm_temp = form.getvalue('mm'+str(j))
mm_out[i,] = int(mm_temp)
dd_temp = form.getvalue('dd'+str(j))
dd_out[i,] = int(dd_temp)
ma_temp = form.getvalue('ma'+str(j))
ma_out[i,] = ma_temp
sr_temp = form.getvalue('sr'+str(j))
sr_out[i,] = sr_temp
######Location#######
weather = form.getvalue('weather')
wea_l = form.getvalue('wea_l')
######Floods#######
nof = form.getvalue('nof')
date_f1 = form.getvalue('date_f1')
nod_out = np.zeros(shape=(int(nof),1))
fl_out = np.zeros(shape=(int(nof),1))
wl_out = np.zeros(shape=(int(nof),1))
ml_out = np.zeros(shape=(int(nof),1))
to_out = np.zeros(shape=(int(nof),1))
for k in range(int(nof)):
jj=k+1
if (jj==1):
nod_out[k,] = int(0)
else:
nod_temp = form.getvalue('nod'+str(jj))
nod_out[k,] = int(nod_temp)
fl_temp = form.getvalue('fl'+str(jj))
fl_out[k,] = fl_temp
wl_temp = form.getvalue('wl'+str(jj))
wl_out[k,] = wl_temp
ml_temp = form.getvalue('ml'+str(jj))
ml_out[k,] = ml_temp
to_temp = form.getvalue('to'+str(jj))
to_out[k,] = to_temp
######Crop#######
zero_height_ref = form.getvalue('zero_height_ref')
days_zero_full = form.getvalue('days_zero_full')
days_zero_removal = form.getvalue('days_zero_removal')
max_frac_cov = form.getvalue('max_frac_cov')
######Physical#######
mas_tras_cof = form.getvalue('mas_tras_cof')
leak = form.getvalue('leak')
ref_d = form.getvalue('ref_d')
ben_d = form.getvalue('ben_d')
ben_por = form.getvalue('ben_por')
dry_bkd = form.getvalue('dry_bkd')
foc_wat = form.getvalue('foc_wat')
foc_ben = form.getvalue('foc_ben')
ss = form.getvalue('ss')
wat_c_doc = form.getvalue('wat_c_doc')
chl = form.getvalue('chl')
dfac = form.getvalue('dfac')
q10 = form.getvalue('q10')
######Output#######
area_app = form.getvalue('area_app')
pfam_obj=pfam_model.pfam(wat_hl,wat_t,ben_hl,ben_t,unf_hl,unf_t,aqu_hl,aqu_t,hyd_hl,mw,vp,sol,koc,hea_h,hea_r_t,
noa,dd_out.tolist(),mm_out.tolist(),ma_out.tolist(),sr_out.tolist(),weather, wea_l,
nof,date_f1,nod_out.tolist(),fl_out.tolist(),wl_out.tolist(),ml_out.tolist(),to_out.tolist(),
zero_height_ref,days_zero_full,days_zero_removal,max_frac_cov,mas_tras_cof,leak,ref_d,ben_d,
ben_por,dry_bkd,foc_wat,foc_ben,ss,wat_c_doc,chl,dfac,q10,area_app)
x_date1=json.dumps(pfam_obj.final_res[1][1])
x_re_v_f = [float(i) for i in pfam_obj.final_res[1][2]]
x_re_c_f = [float(i) for i in pfam_obj.final_res[1][3]]
setattr(pfam_obj, "x_date1", x_date1)
setattr(pfam_obj, "x_re_v_f", x_re_v_f)
setattr(pfam_obj, "x_re_c_f", x_re_c_f)
x_date2=json.dumps(pfam_obj.final_res[1][4])
x_water = [float(i) for i in pfam_obj.final_res[1][5]]
x_water_level = [float(i) for i in pfam_obj.final_res[1][6]]
x_ben_tot = [float(i) for i in pfam_obj.final_res[1][7]]
x_ben_por = [float(i)*1000000 for i in pfam_obj.final_res[1][8]]
setattr(pfam_obj, "x_date2", x_date2)
setattr(pfam_obj, "x_water", x_water)
setattr(pfam_obj, "x_water_level", x_water_level)
setattr(pfam_obj, "x_ben_tot", x_ben_tot)
setattr(pfam_obj, "x_ben_por", x_ben_por)
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "PFAM Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'pfam','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'pfam',
'model_attributes':'PFAM Output'})
html = html + pfam_tables.table_all(pfam_obj)
html = html + template.render(templatepath + 'pfam-output.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, pfam_obj.__dict__, 'pfam', 'single')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chem_name = form.getvalue('chemical_name')
use = form.getvalue('Use')
formu_name = form.getvalue('Formulated_product_name')
a_i = form.getvalue('percent_ai')
a_i = float(a_i)/100
a_r = form.getvalue('application_rate')
a_r = float(a_r)
n_a = form.getvalue('number_of_applications')
n_a = float(n_a)
i_a = form.getvalue('interval_between_applications')
i_a = float(i_a)
h_l = form.getvalue('Foliar_dissipation_half_life')
h_l = float(h_l)
avian_ld50 = float(form.getvalue('avian_ld50'))
avian_lc50 = float(form.getvalue('avian_lc50'))
avian_NOAEC = float(form.getvalue('avian_NOAEC'))
avian_NOAEL = float(form.getvalue('avian_NOAEL'))
Species_of_the_tested_bird_avian_ld50 = form.getvalue('Species_of_the_tested_bird_avian_ld50')
Species_of_the_tested_bird_avian_lc50 = form.getvalue('Species_of_the_tested_bird_avian_lc50')
Species_of_the_tested_bird_avian_NOAEC = form.getvalue('Species_of_the_tested_bird_avian_NOAEC')
Species_of_the_tested_bird_avian_NOAEL = form.getvalue('Species_of_the_tested_bird_avian_NOAEL')
bw_avian_ld50 = float(form.getvalue('bw_avian_ld50'))
bw_avian_lc50 = float(form.getvalue('bw_avian_lc50'))
bw_avian_NOAEC = float(form.getvalue('bw_avian_NOAEC'))
bw_avian_NOAEL = float(form.getvalue('bw_avian_NOAEL'))
mineau_scaling_factor = form.getvalue('mineau_scaling_factor')
mineau_scaling_factor = float(mineau_scaling_factor)
c_mamm_a = form.getvalue('body_weight_of_the_consumed_mammal_a')
c_mamm_a = float(c_mamm_a)
c_herp_a = form.getvalue('body_weight_of_the_consumed_herp_a')
c_herp_a = float(c_herp_a)
bw_herp_a_sm = form.getvalue('BW_herptile_a_sm')
bw_herp_a_sm = float(bw_herp_a_sm)
bw_herp_a_md = form.getvalue('BW_herptile_a_md')
bw_herp_a_md = float(bw_herp_a_md)
bw_herp_a_lg = form.getvalue('BW_herptile_a_lg')
bw_herp_a_lg = float(bw_herp_a_lg)
wp_herp_a_sm = form.getvalue('W_p_a_sm')
wp_herp_a_sm = float(wp_herp_a_sm)/100
wp_herp_a_md = form.getvalue('W_p_a_md')
wp_herp_a_md = float(wp_herp_a_md)/100
wp_herp_a_lg = form.getvalue('W_p_a_lg')
wp_herp_a_lg = float(wp_herp_a_lg)/100
text_file = open('therps/therps_description.txt','r')
x1 = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "T-Herps Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'therps','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'therps',
'model_attributes':'T-Herps Output'})
therps_obj = therps_model.therps('single',chem_name, use, formu_name, a_i, h_l, n_a, i_a, a_r, avian_ld50, avian_lc50, avian_NOAEC, avian_NOAEL,
Species_of_the_tested_bird_avian_ld50, Species_of_the_tested_bird_avian_lc50, Species_of_the_tested_bird_avian_NOAEC, Species_of_the_tested_bird_avian_NOAEL,
bw_avian_ld50, bw_avian_lc50, bw_avian_NOAEC, bw_avian_NOAEL,
mineau_scaling_factor, bw_herp_a_sm, bw_herp_a_md, bw_herp_a_lg, wp_herp_a_sm, wp_herp_a_md,
wp_herp_a_lg, c_mamm_a, c_herp_a)
html = html + therps_tables.timestamp(therps_obj)
html = html + therps_tables.table_all(therps_obj)[0]
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, therps_obj.__dict__, "therps", "single")
self.response.out.write(html)
def get(self):
text_file1 = open('terrplant/terrplant_description.txt','r')
x = text_file1.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "TerrPlant QA/QC")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'terrplant','page':'qaqc'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'terrplant',
'model_attributes':'TerrPlant QAQC'})
terr = terrplant_model.terrplant(True,True,version_terrplant,"qaqc",A[0],I[0],R[0],D[0],nms[0],lms[0],nds[0],lds[0],chemical_name[0],pc_code[0],use[0],application_method[0],application_form[0],solubility[0])
terr.chemical_name_expected = chemical_name[0]
terr.pc_code_expected = pc_code[0]
terr.use_expected = use[0]
terr.application_method_expected = application_method[0]
terr.application_form_expected = application_form[0]
terr.solubility_expected = solubility[0]
# terr.rundry_results_expected = out_fun_rundry[0]
# terr.runsemi_results_expected = out_fun_runsemi[0]
# terr.spray_results_expected = out_fun_spray[0]
# terr.totaldry_results_expected = out_fun_totaldry[0]
# terr.totalsemi_results_expected = out_fun_totalsemi[0]
terr.nms_expected = nms[0]
terr.nds_expected = nds[0]
terr.lms_expected = lms[0]
terr.lds_expected = lds[0]
terr.nmv_expected = nmv[0]
terr.ndv_expected = ndv[0]
terr.lmv_expected = lmv[0]
terr.ldv_expected = ldv[0]
terr.nmsRQdry_results_expected = nmsRQdry_results[0]
terr.lmsRQdry_results_expected = lmsRQdry_results[0]
terr.ndsRQdry_results_expected = ndsRQdry_results[0]
terr.ldsRQdry_results_expected = ldsRQdry_results[0]
terr.nmsRQsemi_results_expected = nmsRQsemi_results[0]
terr.lmsRQsemi_results_expected = lmsRQsemi_results[0]
terr.ndsRQsemi_results_expected = ndsRQsemi_results[0]
terr.ldsRQsemi_results_expected = ldsRQsemi_results[0]
terr.nmsRQspray_results_expected = nmsRQspray_results[0]
terr.lmsRQspray_results_expected = lmsRQspray_results[0]
terr.ndsRQspray_results_expected = ndsRQspray_results[0]
terr.ldsRQspray_results_expected = ldsRQspray_results[0]
# terr.nmsRQdry_results_expected = out_fun_nmsRQdry[0]
# terr.nmsRQsemi_results_expected = out_fun_nmsRQsemi[0]
# terr.nmsRQspray_results_expected = out_fun_nmsRQspray[0]
# terr.lmsRQdry_results_expected = out_fun_lmsRQdry[0]
# terr.lmsRQsemi_results_expected = out_fun_lmsRQsemi[0]
# terr.lmsRQspray_results_expected = out_fun_lmsRQspray[0]
# terr.ndsRQdry_results_expected = out_fun_ndsRQdry[0]
# terr.ndsRQsemi_results_expected = out_fun_ndsRQsemi[0]
# terr.ndsRQspray_results_expected = out_fun_ndsRQspray[0]
# terr.ldsRQdry_results_expected = out_fun_ldsRQdry[0]
# terr.ldsRQsemi_results_expected = out_fun_ldsRQsemi[0]
# terr.ldsRQspray_results_expected = out_fun_ldsRQspray[0]
html = html + terrplant_tables.timestamp(terr)
html = html + terrplant_tables.table_all_qaqc(terrplant_tables.pvheadings, terrplant_tables.pvuheadings,terrplant_tables.deheadingsqaqc,
terrplant_tables.plantec25noaecheadings,terrplant_tables.plantecdrysemisprayheadingsqaqc,
terrplant_tables.tmpl, terr)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {'sub_title': ''})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, terr.__dict__, 'terrplant', 'qaqc')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
scenarios =form.getvalue('Scenarios')
chem_name = form.getvalue('chemical_name')
noa = int(form.getvalue('NOA'))
unit = form.getvalue('Unit')
station = station_pool[scenarios]
met_o = met_pool[scenarios]
inp_o = inp_pool[scenarios]
run_o = run_pool[scenarios]
exam_o = exam_pool[scenarios]
met_o=str(met_o)
inp_o=str(inp_o)
run_o=str(run_o)
exam_o=str(exam_o)
####################################################
######inputs related to different applications#####
####################################################
Apt = [] #Application timings (indicators)
Apt_p = [] #Application timings (words)
DayRe = [] #Days relevant to the application
Ap_mp = [] #Application methods (words)
Ar = [] #Application rates
CAM_f_p = [] #Chemical application Methods (words)
CAM_f = [] #Chemical application Methods (indicators)
EFF_p = [] #EFF (words)
EFF = [] #EFF (numbers)
Drft_p = [] #Drft (words)
Drft = [] #Drft (numbers)
DEPI_p = [] #DEPI (numbers)
Date_inp = [] #Date
for i in range(noa):
if i<1:
Apt_temp = form.getvalue('Apt')
Apt.append(Apt_temp)
Date_inp_temp=form.getvalue('Date_apt')
Date_inp.append(Date_inp_temp)
DayRe_temp = form.getvalue('DayRe')
DayRe.append(DayRe_temp)
CAM_1 = form.getvalue('CAM_1')
CAM_2 = form.getvalue('CAM_2')
CAM_3 = form.getvalue('CAM_3')
CAM_4 = form.getvalue('CAM_4')
DEPI = form.getvalue('DEPI')
Ap_m_temp = form.getvalue('Ap_m')
Ap_mp.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[0])
Ar_temp = form.getvalue('Ar')
Ar.append(float(Ar_temp))
CAM_f_p.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[0]) #CAM_f_p
DEPI_p.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[1]) #DEPI
CAM_f.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[2]) #CAM_f
EFF_p.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[2])
Drft_p.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[3])
EFF.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[4])
Drft.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[5])
if Apt_temp=='1':
Apt_p.append('Relative to planting')
elif Apt_temp=='2':
Apt_p.append('Relative to emergence')
elif Apt_temp=='3':
Apt_p.append('Relative to maturity')
elif Apt_temp=='4':
Apt_p.append('Relative to harvest')
elif Apt_temp=='5':
Apt_p.append('Enter your own dates')
else:
j=i+1
Apt_temp = form.getvalue('Apt'+str(j))
Apt.append(Apt_temp)
Date_inp_temp=form.getvalue('Date_apt'+str(j))
Date_inp.append(Date_inp_temp)
DayRe_temp = form.getvalue('DayRe'+str(j))
DayRe.append(DayRe_temp)
CAM_1 = form.getvalue('CAM_1_'+str(j))
CAM_2 = form.getvalue('CAM_2_'+str(j))
CAM_3 = form.getvalue('CAM_3_'+str(j))
CAM_4 = form.getvalue('CAM_4_'+str(j))
DEPI = form.getvalue('DEPI_'+str(j))
Ap_m_temp = form.getvalue('Ap_m'+str(j))
Ap_mp.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[0])
Ar_temp = form.getvalue('Ar'+str(j))
Ar.append(float(Ar_temp))
CAM_f_p.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[0]) #CAM_f_p
DEPI_p.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[1]) #DEPI
CAM_f.append(przm_exams_model.CAM_select(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[1], DEPI)[2]) #CAM_f
EFF_p.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[2])
Drft_p.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[3])
EFF.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[4])
Drft.append(przm_exams_model.Ap_m_select(Ap_m_temp, CAM_1, CAM_2, CAM_3, CAM_4)[5])
if Apt_temp=='1':
Apt_p.append('Relative to planting')
elif Apt_temp=='2':
Apt_p.append('Relative to emergence')
elif Apt_temp=='3':
Apt_p.append('Relative to maturity')
elif Apt_temp=='4':
Apt_p.append('Relative to harvest')
elif Apt_temp=='5':
Apt_p.append('Enter your own dates')
MM=przm_exams_model.es_date(noa, scenarios, Apt, DayRe, Date_inp)[0]
DD=przm_exams_model.es_date(noa, scenarios, Apt, DayRe, Date_inp)[1]
YY='61'
if unit=='2':
Ar=[1.12*kk for kk in Ar]
else:
Ar=Ar
Ar_text=['%.4f' %i for i in Ar]
CAM_f_f = [float(i) for i in CAM_f]
CAM_text=['%.2f' %i for i in CAM_f_f]
DEPI_f = [float(i) for i in DEPI_p]
DEPI_text=['%.2f' %i for i in DEPI_f]
###################################################
#################EXAMS Inputs######################
###################################################
farm =form.getvalue('farm_pond')
mw = form.getvalue('molecular_weight')
sol = form.getvalue('solubility')
koc = form.getvalue('Koc')
vp = form.getvalue('vapor_pressure')
aem = form.getvalue('aerobic_aquatic_metabolism')
anm = form.getvalue('anaerobic_aquatic_metabolism')
aqp = form.getvalue('aquatic_direct_photolysis')
tmper = form.getvalue('temperature')
n_ph = float(form.getvalue('n_ph'))
ph_out = []
hl_out = []
for i in range(int(n_ph)):
j=i+1
ph_temp = form.getvalue('ph'+str(j))
ph_out.append(float(ph_temp))
hl_temp = float(form.getvalue('hl'+str(j)))
hl_out.append(hl_temp)
przm_exams_obj = przm_exams_model.przm_exams(chem_name, noa, scenarios, unit, met_o, inp_o, run_o, exam_o,
MM, DD, YY, CAM_f, DEPI_text, Ar_text, EFF, Drft,
Apt_p, DayRe, Ap_mp, Ar, CAM_f_p, EFF_p, Drft_p, DEPI_f,
farm, mw, sol, koc, vp, aem, anm, aqp, tmper, n_ph, ph_out, hl_out)
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "PRZM EXAMS Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'przm_exams','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'express',
'model_attributes':'PRZM-EXAMS Output'})
html = html + przm_exams_tables.timestamp(przm_exams_obj)
html = html + przm_exams_tables.table_all(przm_exams_obj)
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, przm_exams_obj.__dict__, 'przm_exams', 'single')
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chem_name = form.getvalue('chemical_name')
use = form.getvalue('Use')
formu_name = form.getvalue('Formulated_product_name')
a_i = form.getvalue('percent_ai')
a_i = float(a_i)/100
Application_type = form.getvalue('Application_type')
seed_crop = float(form.getvalue('seed_crop'))
seed_crop_v = form.getvalue('seed_crop_v')
p_i = form.getvalue('percent_incorporated')
p_i = float(p_i)/100
seed_treatment_formulation_name = form.getvalue('seed_treatment_formulation_name')
den = form.getvalue('density_of_product')
den = float(den)
m_s_r_p = form.getvalue('maximum_seedling_rate_per_use')
m_s_r_p = float(m_s_r_p)
r_s = form.getvalue('row_sp')
r_s=float(r_s)
b_w = form.getvalue('bandwidth') #convert to ft
b_w = float(b_w)/12
if Application_type=='Seed Treatment':
n_a = 1
else:
n_a = float(form.getvalue('noa'))
rate_out = []
day_out = []
for i in range(int(n_a)):
j=i+1
rate_temp = form.getvalue('rate'+str(j))
rate_out.append(float(rate_temp))
day_temp = float(form.getvalue('day'+str(j)))
day_out.append(day_temp)
h_l = form.getvalue('Foliar_dissipation_half_life')
ld50_bird = form.getvalue('avian_ld50')
lc50_bird = form.getvalue('avian_lc50')
NOAEC_bird = float(form.getvalue('avian_NOAEC'))
try:
NOAEL_bird = float(form.getvalue('avian_NOAEL'))
except:
NOAEL_bird = 'N/A'
aw_bird_sm = form.getvalue('body_weight_of_the_assessed_bird_small')
aw_bird_sm = float(aw_bird_sm)
aw_bird_md = form.getvalue('body_weight_of_the_assessed_bird_medium')
aw_bird_md = float(aw_bird_md)
aw_bird_lg = form.getvalue('body_weight_of_the_assessed_bird_large')
aw_bird_lg = float(aw_bird_lg)
Species_of_the_tested_bird_avian_ld50 = form.getvalue('Species_of_the_tested_bird_avian_ld50')
Species_of_the_tested_bird_avian_lc50 = form.getvalue('Species_of_the_tested_bird_avian_lc50')
Species_of_the_tested_bird_avian_NOAEC = form.getvalue('Species_of_the_tested_bird_avian_NOAEC')
Species_of_the_tested_bird_avian_NOAEL = form.getvalue('Species_of_the_tested_bird_avian_NOAEL')
tw_bird_ld50 = float(form.getvalue('bw_avian_ld50'))
tw_bird_lc50 = float(form.getvalue('bw_avian_lc50'))
tw_bird_NOAEC = float(form.getvalue('bw_avian_NOAEC'))
tw_bird_NOAEL = float(form.getvalue('bw_avian_NOAEL'))
x = form.getvalue('mineau_scaling_factor')
ld50_mamm = form.getvalue('mammalian_ld50')
try:
lc50_mamm = float(form.getvalue('mammalian_lc50'))
except:
lc50_mamm = 'N/A'
NOAEC_mamm = form.getvalue('mammalian_NOAEC')
NOAEC_mamm = float(NOAEC_mamm)
NOAEL_mamm = form.getvalue('mammalian_NOAEL')
aw_mamm_sm = form.getvalue('body_weight_of_the_assessed_mammal_small')
aw_mamm_sm = float(aw_mamm_sm)
aw_mamm_md = form.getvalue('body_weight_of_the_assessed_mammal_medium')
aw_mamm_md = float(aw_mamm_md)
aw_mamm_lg = form.getvalue('body_weight_of_the_assessed_mammal_large')
aw_mamm_lg = float(aw_mamm_lg)
tw_mamm = form.getvalue('body_weight_of_the_tested_mammal')
tw_mamm = float(tw_mamm)
text_file = open('trex2/trex2_description.txt','r')
x1 = text_file.read()
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "TREX 1.5.2 Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'trex2','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'trex2',
'model_attributes':'T-Rex 1.5.2 Output'})
trex2_obj = trex2_model.trex2("single", chem_name, use, formu_name, a_i, Application_type, seed_treatment_formulation_name, seed_crop, seed_crop_v, r_s, b_w, p_i, den, h_l, n_a, rate_out, day_out,
ld50_bird, lc50_bird, NOAEC_bird, NOAEL_bird, aw_bird_sm, aw_bird_md, aw_bird_lg,
Species_of_the_tested_bird_avian_ld50, Species_of_the_tested_bird_avian_lc50, Species_of_the_tested_bird_avian_NOAEC, Species_of_the_tested_bird_avian_NOAEL,
tw_bird_ld50, tw_bird_lc50, tw_bird_NOAEC, tw_bird_NOAEL, x, ld50_mamm, lc50_mamm, NOAEC_mamm, NOAEL_mamm, aw_mamm_sm, aw_mamm_md, aw_mamm_lg, tw_mamm,
m_s_r_p)
html = html + trex2_tables.timestamp(trex2_obj)
html = html + trex2_tables.table_all(trex2_obj)[0]
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {'sub_title': ''})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
# logger.info(trex2_obj.__dict__)
rest_funcs.save_dic(html, trex2_obj.__dict__, "trex2", "single")
self.response.out.write(html)
def post(self):
form = cgi.FieldStorage()
chemical_name = form.getvalue('name')
l_kow = float(form.getvalue('lkow'))
k_oc = float(form.getvalue('Koc'))
c_wdp_2 = float(form.getvalue('beec'))
c_wdp = float(form.getvalue('beec')) / 1000000
water_column_EEC = float(form.getvalue('weec'))
c_wto = float(water_column_EEC) / 1000000
mineau_scaling_factor = float(form.getvalue('sf'))
x_poc = float(form.getvalue('cpoc'))
x_doc = float(form.getvalue('cdoc'))
c_ox = float(form.getvalue('cox'))
w_t = float(form.getvalue('wt'))
c_ss = float(form.getvalue('css'))
oc = float(form.getvalue('oc'))/100
k_ow = 10**(float(l_kow))
Species_of_the_tested_bird = form.getvalue('Species_of_the_tested_bird')
bw_quail = form.getvalue('bw_quail')
bw_duck = form.getvalue('bw_duck')
bwb_other = form.getvalue('bwb_other')
avian_ld50 = float(form.getvalue('ald50'))
avian_lc50 = float(form.getvalue('alc50'))
avian_noaec = float(form.getvalue('aNOAEC'))
m_species = form.getvalue('m_species')
bw_rat=form.getvalue('bw_rat')
bwm_other=form.getvalue('bwm_other')
# print 'weight=', body_weight_of_the_tested_mamm_other
mammalian_ld50 = float(form.getvalue('mld50'))
mammalian_lc50 = float(form.getvalue('mlc50'))
mammalian_chronic_endpoint = float(form.getvalue('m_chronic'))
# body_weight_of_the_assessed_mamm = float(form.getvalue('bw_assess_m'))
#diet_for_large_fish = form.getvalue('Diet_lfish')
lf_p_sediment = float(form.getvalue('lfish_p_sediment'))/100
lf_p_phytoplankton = float(form.getvalue('lfish_p_phyto'))/100
lf_p_zooplankton = float(form.getvalue('lfish_p_zoo'))/100
lf_p_benthic_invertebrates = float(form.getvalue('lfish_p_beninv'))/100
lf_p_filter_feeders = float(form.getvalue('lfish_p_ff'))/100
lf_p_small_fish = float(form.getvalue('lfish_p_sfish'))/100
lf_p_medium_fish = float(form.getvalue('lfish_p_mfish'))/100
#diet_for_medium_fish = form.getvalue('Diet_mfish')
mf_p_sediment = float(form.getvalue('mfish_p_sediment'))
#print type(mf_p_sediment)
mf_p_sediment = float(mf_p_sediment)
mf_p_phytoplankton = float(form.getvalue('mfish_p_phyto'))
mf_p_zooplankton = float(form.getvalue('mfish_p_zoo'))
mf_p_benthic_invertebrates = float(form.getvalue('mfish_p_beninv'))/100
mf_p_filter_feeders = float(form.getvalue('mfish_p_ff'))
mf_p_small_fish = float(form.getvalue('mfish_p_sfish'))/100
#diet_for_small_fish = form.getvalue('Diet_sfish')
sf_p_sediment = float(form.getvalue('sfish_p_sediment'))
sf_p_phytoplankton = float(form.getvalue('sfish_p_phyto'))
sf_p_zooplankton = float(form.getvalue('sfish_p_zoo'))/100
sf_p_benthic_invertebrates = float(form.getvalue('sfish_p_beninv'))/100
sf_p_filter_feeders = float(form.getvalue('sfish_p_ff'))
#diet_for_filter_feeder = form.getvalue('Diet_ff')
ff_p_sediment = float(form.getvalue('ff_p_sediment'))/100
ff_p_phytoplankton = float(form.getvalue('ff_p_phyto'))/100
ff_p_zooplankton = float(form.getvalue('ff_p_zoo'))/100
ff_p_benthic_invertebrates = float(form.getvalue('ff_p_beninv'))
#diet_for_invertebrates = form.getvalue('Diet_invert')
beninv_p_sediment = float(form.getvalue('beninv_p_sediment'))/100
beninv_p_phytoplankton = float(form.getvalue('beninv_p_phyto'))/100
beninv_p_zooplankton = float(form.getvalue('beninv_p_zoo'))/100
#diet_for_zooplankton = form.getvalue('Diet_zoo')
zoo_p_sediment = float(form.getvalue('zoo_p_sediment'))
zoo_p_phyto = float(form.getvalue('zoo_p_phyto'))/100
#characteristics_sediment = form.getvalue('char_s')
s_lipid = float(form.getvalue('s_lipid'))/100
s_NLOM = float(form.getvalue('s_NLOM'))/100
s_water = float(form.getvalue('s_water'))/100
s_respire = form.getvalue('s_respire')
#characteristics_phytoplankton = form.getvalue('char_phyto')
v_lb_phytoplankton = float(form.getvalue('phyto_lipid'))/100
v_nb_phytoplankton = float(form.getvalue('phyto_NLOM'))/100
v_wb_phytoplankton = float(form.getvalue('phyto_water'))/100
phyto_respire = form.getvalue('phyto_respire')
#characteristics_zooplankton = form.getvalue('char_zoo')
wb_zoo = float(form.getvalue('zoo_ww'))
v_lb_zoo = float(form.getvalue('zoo_lipid'))/100
v_nb_zoo = float(form.getvalue('zoo_NLOM'))/100
v_wb_zoo = float(form.getvalue('zoo_water'))/100
zoo_respire = form.getvalue('zoo_respire')
#characteristics_benthic_invertebrates = form.getvalue('char_beninv')
wb_beninv = float(form.getvalue('beninv_ww'))
v_lb_beninv = float(form.getvalue('beninv_lipid'))/100
v_nb_beninv = float(form.getvalue('beninv_NLOM'))/100
v_wb_beninv = float(form.getvalue('beninv_water'))/100
beninv_respire = form.getvalue('beninv_respire')
#characteristics_ff = form.getvalue('char_ff')
wb_ff = float(form.getvalue('ff_ww'))
v_lb_ff = float(form.getvalue('ff_lipid'))/100
v_nb_ff = float(form.getvalue('ff_NLOM'))/100
v_wb_ff = float(form.getvalue('ff_water'))/100
ff_respire = form.getvalue('ff_respire')
#characteristics_smfish = form.getvalue('char_sfish')
wb_sf = float(form.getvalue('sfish_ww'))
v_lb_sf = float(form.getvalue('sfish_lipid'))/100
v_nb_sf = float(form.getvalue('sfish_NLOM'))/100
v_wb_sf = float(form.getvalue('sfish_water'))/100
sfish_respire = form.getvalue('sfish_respire')
#characteristics_medfish = form.getvalue('char_mfish')
wb_mf = float(form.getvalue('mfish_ww'))
v_lb_mf = float(form.getvalue('mfish_lipid'))/100
v_nb_mf = float(form.getvalue('mfish_NLOM'))/100
v_wb_mf = float(form.getvalue('mfish_water'))/100
mfish_respire = form.getvalue('mfish_respire')
#characteristics_larfish = form.getvalue('char_lfish')
wb_lf = float(form.getvalue('lfish_ww'))
v_lb_lf = float(form.getvalue('lfish_lipid'))/100
v_nb_lf = float(form.getvalue('lfish_NLOM'))/100
v_wb_lf = float(form.getvalue('lfish_water'))/100
lfish_respire = form.getvalue('lfish_respire')
rate_constants = form.getvalue('rate_c')
# phytoplankton growth rate constant
kg_phytoplankton = 0.1
# phytoplankton diet uptake rate constant
kd_phytoplankton = 0
#phytoplankton fecal elimination rate constant
ke_phytoplankton = 0
# fraction of respiratory ventilation involving overlying water
mo_phytoplankton = 1
# fraction of respiratory ventilation involving pore water
mp_phytoplankton = 0
# rate constant for pesticide metabolic transformation
km_phytoplankton = 0
# rate constant for pesticide metabolic transformation
km_zoo = 0
# k_bw_phytoplankton = 0
# k_bw_zoo = 0
# k_bw_beninv = 0
# k_bw_ff = 0
# k_bw_sf = 0
# k_bw_mf = 0
# k_bw_lf = 0
# cb_phytoplankton_v = 0
# cb_zoo_v = 0
# cb_beninv_v = 0
# cb_ff_v = 0
# cb_sf_v = 0
# cb_mf_v = 0
# cb_lf_v = 0
k1_phytoplankton = float(form.getvalue('phyto_k1'))
k2_phytoplankton = float(form.getvalue('phyto_k2'))
kd_phytoplankton = float(form.getvalue('phyto_kd'))
ke_phytoplankton = float(form.getvalue('phyto_ke'))
km_phytoplankton = float(form.getvalue('phyto_km'))
k1_zoo = float(form.getvalue('zoo_k1'))
k2_zoo = float(form.getvalue('zoo_k2'))
kd_zoo = float(form.getvalue('zoo_kd'))
ke_zoo = float(form.getvalue('zoo_ke'))
km_zoo = float(form.getvalue('zoo_km'))
k1_beninv = float(form.getvalue('beninv_k1'))
k2_beninv = float(form.getvalue('beninv_k2'))
kd_beninv = float(form.getvalue('beninv_kd'))
ke_beninv = float(form.getvalue('beninv_ke'))
km_beninv = float(form.getvalue('beninv_km'))
k1_ff = float(form.getvalue('ff_k1'))
k2_ff = float(form.getvalue('ff_k2'))
kd_ff = float(form.getvalue('ff_kd'))
ke_ff = float(form.getvalue('ff_ke'))
km_ff = float(form.getvalue('ff_km'))
k1_sf = float(form.getvalue('sfish_k1'))
k2_sf = float(form.getvalue('sfish_k2'))
kd_sf = float(form.getvalue('sfish_kd'))
ke_sf = float(form.getvalue('sfish_ke'))
km_sf = float(form.getvalue('sfish_km'))
k1_mf = float(form.getvalue('mfish_k1'))
k2_mf = float(form.getvalue('mfish_k2'))
kd_mf = float(form.getvalue('mfish_kd'))
ke_mf = float(form.getvalue('mfish_ke'))
km_mf = float(form.getvalue('mfish_km'))
k1_lf = float(form.getvalue('lfish_k1'))
k2_lf = float(form.getvalue('lfish_k2'))
kd_lf = float(form.getvalue('lfish_kd'))
ke_lf = float(form.getvalue('lfish_ke'))
km_lf = float(form.getvalue('lfish_km'))
# else: # calculate values for rate constants
# k_bw_phytoplankton = kabam_model.k_bw_phytoplankton_f(v_lb_phytoplankton, v_nb_phytoplankton, k_ow, v_wb_phytoplankton)
# k1_phytoplankton = k1_phytoplankton_f(k_ow)
# k2_phytoplankton = k2_phytoplankton_f(k_ow, k1_phytoplankton, k_bw_phytoplankton)
# k_bw_zoo = k_bw_zoo_f(v_lb_zoo, k_ow, v_nb_zoo, v_wb_zoo)
# k1_zoo = k1_zoo_f(k_ow, wb_zoo, c_ox)
# k2_zoo = k2_zoo_f(k_bw_zoo, k1_zoo)
# kd_zoo = kd_zoo_f(k_ow, wb_zoo, w_t)
# ke_zoo = ke_zoo_f(k_ow, wb_zoo, v_lb_zoo, v_nb_zoo, zoo_p_sediment, s_lipid, s_NLOM, zoo_p_phyto, v_lb_phytoplankton, v_nb_phytoplankton, s_water, v_wb_phytoplankton, w_t, v_wb_zoo)
# k_bw_beninv = k_bw_beninv_f(v_lb_beninv, k_ow, v_nb_beninv, v_wb_beninv)
# k1_beninv = k1_beninv_f(k_ow, wb_beninv, c_ox)
# k2_beninv = k2_beninv_f(k1_beninv, k_bw_beninv)
# kd_beninv = kd_beninv_f(k_ow, wb_beninv, w_t)
# ke_beninv = ke_beninv_f(k_ow, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, wb_beninv, w_t, v_lb_beninv, v_nb_beninv, v_wb_beninv)
# k_bw_ff = k_bw_ff_f(v_lb_ff, k_ow, v_nb_ff, v_wb_ff)
# k1_ff = k1_ff_f(k_ow, wb_ff, c_ox)
# k2_ff = k2_ff_f(k1_ff, k_bw_ff)
# kd_ff = kd_ff_f(k_ow, wb_ff, w_t, c_ss, c_ox)
# ke_ff = ke_ff_f(k_ow, ff_p_sediment, v_lb_ff, v_nb_ff, v_wb_ff, ff_p_phytoplankton, c_ss, c_ox, s_lipid, v_lb_phytoplankton, ff_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, wb_ff, w_t)
# k_bw_sf = k_bw_sf_f(v_lb_sf, k_ow, v_nb_sf, v_wb_sf)
# k1_sf = k1_sf_f(k_ow, wb_sf, c_ox)
# k2_sf = k2_sf_f(k1_sf, k_bw_sf)
# kd_sf = kd_sf_f(k_ow, wb_sf, w_t, c_ss, c_ox)
# ke_sf = ke_sf_f(k_ow, v_lb_sf, v_nb_sf, v_wb_sf, c_ox, ff_p_sediment, s_lipid, ff_p_phytoplankton, ff_p_zooplankton, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, c_ss, wb_ff, wb_sf, w_t, v_nb_beninv, v_nb_ff, sf_p_sediment, sf_p_phytoplankton, v_lb_phytoplankton, sf_p_benthic_invertebrates, v_lb_beninv, sf_p_zooplankton, v_lb_zoo, v_wb_beninv, v_wb_ff, sf_p_filter_feeders, v_lb_ff)
# k_bw_mf = k_bw_mf_f(v_lb_mf, k_ow, v_nb_mf, v_wb_mf)
# k1_mf = k1_mf_f(k_ow, wb_mf, c_ox)
# k2_mf = k2_mf_f(k1_mf, k_bw_mf)
# kd_mf = kd_mf_f(k_ow, wb_mf, w_t, c_ss, c_ox)
# ke_mf = ke_mf_f(k_ow, v_lb_mf, v_nb_mf, v_wb_mf, wb_mf, w_t, s_lipid, v_lb_phytoplankton, v_lb_beninv, v_lb_zoo, v_lb_ff, v_lb_sf, s_NLOM, v_nb_phytoplankton, v_nb_beninv, v_nb_zoo, v_nb_ff, v_nb_sf, mf_p_sediment, s_water, mf_p_phytoplankton, v_wb_phytoplankton, mf_p_benthic_invertebrates, v_wb_beninv, mf_p_zooplankton, v_wb_zoo, mf_p_filter_feeders, v_wb_ff, mf_p_small_fish, v_wb_sf)
# k_bw_lf = k_bw_lf_f(v_lb_lf, k_ow, v_nb_lf, v_wb_lf)
# k1_lf = k1_lf_f(k_ow, wb_lf, c_ox)
# k2_lf = k2_lf_f(k1_lf, k_bw_lf)
# kd_lf = kd_lf_f(k_ow, wb_lf, w_t, c_ss, c_ox)
# ke_lf = ke_lf_f(k_ow, v_lb_lf, v_nb_lf, v_wb_lf, wb_lf, s_lipid, lf_p_sediment, v_lb_phytoplankton, lf_p_phytoplankton, v_lb_beninv, v_lb_zoo, lf_p_benthic_invertebrates, lf_p_zooplankton, lf_p_filter_feeders, v_lb_ff, v_lb_sf, lf_p_small_fish, s_water, lf_p_medium_fish, v_nb_mf, v_wb_phytoplankton, v_wb_beninv, v_wb_zoo, v_wb_ff, v_wb_sf, wb_mf, w_t, mf_p_sediment, s_NLOM, mf_p_phytoplankton, v_nb_phytoplankton, v_lb_mf, v_wb_mf, mf_p_benthic_invertebrates, v_nb_beninv, mf_p_zooplankton, v_nb_zoo, mf_p_filter_feeders, v_nb_ff, mf_p_small_fish, v_nb_sf)
# cb_phytoplankton_v = cb_phytoplankton_f(k1_phytoplankton, c_wdp, c_wto, k2_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_ow, x_doc, x_poc)
# cb_zoo_v = cb_zoo_f(k_ow, wb_zoo, w_t, k1_phytoplankton, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wdp, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, oc, x_poc, x_doc, v_lb_phytoplankton, v_nb_phytoplankton, v_wb_phytoplankton, k_bw_phytoplankton, zoo_p_phyto, zoo_p_sediment)
# cb_beninv_v = cb_beninv_f(x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv)
# cb_ff_v = cb_ff_f(k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, w_t, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates)
# cb_sf_v = cb_sf_f(wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
# cb_mf_v = cb_mf_f(k1_mf, k2_mf, kd_mf, ke_mf, wb_mf, mf_p_sediment, mf_p_phytoplankton, mf_p_zooplankton, mf_p_benthic_invertebrates, mf_p_filter_feeders, mf_p_small_fish, wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
# cb_lf_v = cb_lf_f(kd_lf, k2_lf, ke_lf, k1_lf, wb_lf, wb_mf, lf_p_sediment, lf_p_phytoplankton, lf_p_zooplankton, lf_p_benthic_invertebrates, k1_mf, k2_mf, kd_mf, ke_mf, mf_p_sediment, mf_p_phytoplankton, mf_p_zooplankton, lf_p_filter_feeders, lf_p_small_fish, lf_p_medium_fish, mf_p_benthic_invertebrates, mf_p_filter_feeders, mf_p_small_fish, wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
# k_bw_phytoplankton = k_bw_phytoplankton_f(v_lb_phytoplankton, v_nb_phytoplankton, k_ow, v_wb_phytoplankton)
# k1_phytoplankton = k1_phytoplankton_f(k_ow)
# k2_phytoplankton = k2_phytoplankton_f(k_ow, k1_phytoplankton, k_bw_phytoplankton)
# k_bw_zoo = k_bw_zoo_f(v_lb_zoo, k_ow, v_nb_zoo, v_wb_zoo)
# k1_zoo = k1_zoo_f(k_ow, wb_zoo, c_ox)
# k2_zoo = k2_zoo_f(k_bw_zoo, k1_zoo)
# kd_zoo = kd_zoo_f(k_ow, wb_zoo, w_t)
# ke_zoo = ke_zoo_f(k_ow, wb_zoo, v_lb_zoo, v_nb_zoo, zoo_p_sediment, s_lipid, s_NLOM, zoo_p_phyto, v_lb_phytoplankton, v_nb_phytoplankton, s_water, v_wb_phytoplankton, w_t, v_wb_zoo)
# k_bw_beninv = k_bw_beninv_f(v_lb_beninv, k_ow, v_nb_beninv, v_wb_beninv)
# k1_beninv = k1_beninv_f(k_ow, wb_beninv, c_ox)
# k2_beninv = k2_beninv_f(k1_beninv, k_bw_beninv)
# kd_beninv = kd_beninv_f(k_ow, wb_beninv, w_t)
# ke_beninv = ke_beninv_f(k_ow, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, wb_beninv, w_t, v_lb_beninv, v_nb_beninv, v_wb_beninv)
# k_bw_ff = k_bw_ff_f(v_lb_ff, k_ow, v_nb_ff, v_wb_ff)
# k1_ff = k1_ff_f(k_ow, wb_ff, c_ox)
# k2_ff = k2_ff_f(k1_ff, k_bw_ff)
# kd_ff = kd_ff_f(k_ow, wb_ff, w_t, c_ss, c_ox)
# ke_ff = ke_ff_f(k_ow, ff_p_sediment, v_lb_ff, v_nb_ff, v_wb_ff, ff_p_phytoplankton, c_ss, c_ox, s_lipid, v_lb_phytoplankton, ff_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, wb_ff, w_t)
# k_bw_sf = k_bw_sf_f(v_lb_sf, k_ow, v_nb_sf, v_wb_sf)
# k1_sf = k1_sf_f(k_ow, wb_sf, c_ox)
# k2_sf = k2_sf_f(k1_sf, k_bw_sf)
# kd_sf = kd_sf_f(k_ow, wb_sf, w_t, c_ss, c_ox)
# ke_sf = ke_sf_f(k_ow, v_lb_sf, v_nb_sf, v_wb_sf, c_ox, ff_p_sediment, s_lipid, ff_p_phytoplankton, ff_p_zooplankton, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, c_ss, wb_ff, wb_sf, w_t, v_nb_beninv, v_nb_ff, sf_p_sediment, sf_p_phytoplankton, v_lb_phytoplankton, sf_p_benthic_invertebrates, v_lb_beninv, sf_p_zooplankton, v_lb_zoo, v_wb_beninv, v_wb_ff, sf_p_filter_feeders, v_lb_ff)
# k_bw_mf = k_bw_mf_f(v_lb_mf, k_ow, v_nb_mf, v_wb_mf)
# k1_mf = k1_mf_f(k_ow, wb_mf, c_ox)
# k2_mf = k2_mf_f(k1_mf, k_bw_mf)
# kd_mf = kd_mf_f(k_ow, wb_mf, w_t, c_ss, c_ox)
# ke_mf = ke_mf_f(k_ow, v_lb_mf, v_nb_mf, v_wb_mf, wb_mf, w_t, s_lipid, v_lb_phytoplankton, v_lb_beninv, v_lb_zoo, v_lb_ff, v_lb_sf, s_NLOM, v_nb_phytoplankton, v_nb_beninv, v_nb_zoo, v_nb_ff, v_nb_sf, mf_p_sediment, s_water, mf_p_phytoplankton, v_wb_phytoplankton, mf_p_benthic_invertebrates, v_wb_beninv, mf_p_zooplankton, v_wb_zoo, mf_p_filter_feeders, v_wb_ff, mf_p_small_fish, v_wb_sf)
# k_bw_lf = k_bw_lf_f(v_lb_lf, k_ow, v_nb_lf, v_wb_lf)
# k1_lf = k1_lf_f(k_ow, wb_lf, c_ox)
# k2_lf = k2_lf_f(k1_lf, k_bw_lf)
# kd_lf = kd_lf_f(k_ow, wb_lf, w_t, c_ss, c_ox)
# ke_lf = ke_lf_f(k_ow, v_lb_lf, v_nb_lf, v_wb_lf, wb_lf, s_lipid, lf_p_sediment, v_lb_phytoplankton, lf_p_phytoplankton, v_lb_beninv, v_lb_zoo, lf_p_benthic_invertebrates, lf_p_zooplankton, lf_p_filter_feeders, v_lb_ff, v_lb_sf, lf_p_small_fish, s_water, lf_p_medium_fish, v_nb_mf, v_wb_phytoplankton, v_wb_beninv, v_wb_zoo, v_wb_ff, v_wb_sf, wb_mf, w_t, mf_p_sediment, s_NLOM, mf_p_phytoplankton, v_nb_phytoplankton, v_lb_mf, v_wb_mf, mf_p_benthic_invertebrates, v_nb_beninv, mf_p_zooplankton, v_nb_zoo, mf_p_filter_feeders, v_nb_ff, mf_p_small_fish, v_nb_sf)
# cb_phytoplankton_v = cb_phytoplankton_f(k1_phytoplankton, c_wdp, c_wto, k2_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_ow, x_doc, x_poc)
# cb_zoo_v = cb_zoo_f(k_ow, wb_zoo, w_t, k1_phytoplankton, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wdp, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, oc, x_poc, x_doc, v_lb_phytoplankton, v_nb_phytoplankton, v_wb_phytoplankton, k_bw_phytoplankton, zoo_p_phyto, zoo_p_sediment)
# cb_beninv_v = cb_beninv_f(x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv)
# cb_ff_v = cb_ff_f(k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, w_t, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates)
# cb_sf_v = cb_sf_f(wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
# cb_mf_v = cb_mf_f(k1_mf, k2_mf, kd_mf, ke_mf, wb_mf, mf_p_sediment, mf_p_phytoplankton, mf_p_zooplankton, mf_p_benthic_invertebrates, mf_p_filter_feeders, mf_p_small_fish, wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
# cb_lf_v = cb_lf_f(kd_lf, k2_lf, ke_lf, k1_lf, wb_lf, wb_mf, lf_p_sediment, lf_p_phytoplankton, lf_p_zooplankton, lf_p_benthic_invertebrates, k1_mf, k2_mf, kd_mf, ke_mf, mf_p_sediment, mf_p_phytoplankton, mf_p_zooplankton, lf_p_filter_feeders, lf_p_small_fish, lf_p_medium_fish, mf_p_benthic_invertebrates, mf_p_filter_feeders, mf_p_small_fish, wb_sf, k1_sf, k2_sf, kd_sf, ke_sf, sf_p_benthic_invertebrates, ff_p_phytoplankton, ff_p_sediment, ff_p_zooplankton, k1_ff, k2_ff, kd_ff, ke_ff, wb_ff, sf_p_phytoplankton, sf_p_sediment, sf_p_zooplankton, x_poc, x_doc, k_ow, k1_beninv, k2_beninv, kd_beninv, ke_beninv, wb_beninv, c_ox, w_t, k1_phytoplankton, c_wdp, k1_zoo, k2_zoo, kd_zoo, ke_zoo, c_wto, k2_phytoplankton, kd_phytoplankton, ke_phytoplankton, kg_phytoplankton, km_phytoplankton, mo_phytoplankton, mp_phytoplankton, k_oc, v_wb_beninv, oc, k_bw_phytoplankton, zoo_p_sediment, zoo_p_phyto, wb_zoo, beninv_p_sediment, s_lipid, beninv_p_phytoplankton, v_lb_phytoplankton, beninv_p_zooplankton, v_lb_zoo, s_NLOM, v_nb_phytoplankton, v_nb_zoo, s_water, v_wb_phytoplankton, v_wb_zoo, v_lb_beninv, v_nb_beninv, ff_p_benthic_invertebrates, sf_p_filter_feeders)
kabam_obj = kabam_model.kabam(
True,True,'single',chemical_name,l_kow,k_oc,c_wdp,water_column_EEC,c_wto,mineau_scaling_factor,x_poc,x_doc,c_ox,w_t,c_ss,oc,k_ow,
Species_of_the_tested_bird,bw_quail,bw_duck,bwb_other,avian_ld50,avian_lc50,avian_noaec,m_species,bw_rat,bwm_other,mammalian_ld50,mammalian_lc50,mammalian_chronic_endpoint,
lf_p_sediment,lf_p_phytoplankton,lf_p_zooplankton,lf_p_benthic_invertebrates,lf_p_filter_feeders,lf_p_small_fish,lf_p_medium_fish,
mf_p_sediment,mf_p_phytoplankton,mf_p_zooplankton,mf_p_benthic_invertebrates,mf_p_filter_feeders,mf_p_small_fish,
sf_p_sediment,sf_p_phytoplankton,sf_p_zooplankton,sf_p_benthic_invertebrates,sf_p_filter_feeders,
ff_p_sediment,ff_p_phytoplankton,ff_p_zooplankton,ff_p_benthic_invertebrates,
beninv_p_sediment,beninv_p_phytoplankton,beninv_p_zooplankton,
zoo_p_sediment,zoo_p_phyto,
s_lipid,s_NLOM,s_water,
v_lb_phytoplankton,v_nb_phytoplankton,v_wb_phytoplankton,wb_zoo,v_lb_zoo,v_nb_zoo,v_wb_zoo,wb_beninv,v_lb_beninv,v_nb_beninv,v_wb_beninv,wb_ff,v_lb_ff,v_nb_ff,v_wb_ff,wb_sf,v_lb_sf,v_nb_sf,v_wb_sf,wb_mf,v_lb_mf,v_nb_mf,v_wb_mf,wb_lf,v_lb_lf,v_nb_lf,v_wb_lf,
kg_phytoplankton,kd_phytoplankton,ke_phytoplankton,mo_phytoplankton,mp_phytoplankton,km_phytoplankton,km_zoo,
k1_phytoplankton,k2_phytoplankton,
k1_zoo,k2_zoo,kd_zoo,ke_zoo,k1_beninv,k2_beninv,kd_beninv,ke_beninv,km_beninv,
k1_ff,k2_ff,kd_ff,ke_ff,km_ff,k1_sf,k2_sf,kd_sf,ke_sf,km_sf,k1_mf,k2_mf,kd_mf,ke_mf,km_mf,k1_lf,k2_lf,kd_lf,ke_lf,km_lf,
rate_constants,s_respire,phyto_respire,zoo_respire,beninv_respire,ff_respire,sfish_respire,mfish_respire,lfish_respire, None
)
# cb_phytoplankton_v,cb_zoo_v,cb_beninv_v,cb_ff_v,cb_sf_v,cb_mf_v,cb_lf_v ***Removed from kabam_obj above***
templatepath = os.path.dirname(__file__) + '/../templates/'
ChkCookie = self.request.cookies.get("ubercookie")
html = uber_lib.SkinChk(ChkCookie, "Kabam Output")
html = html + template.render(templatepath + '02uberintroblock_wmodellinks.html', {'model':'kabam','page':'output'})
html = html + template.render (templatepath + '03ubertext_links_left.html', {})
html = html + template.render(templatepath + '04uberoutput_start.html', {
'model':'kabam',
'model_attributes':'Kabam Output'})
html = html + kabam_tables.timestamp(kabam_obj,"")
html = html + kabam_tables.table_all(kabam_obj)
html = html + kabam_tables.bar_f(kabam_obj)
html = html + template.render(templatepath + 'kabam_output_jqplot.html', {})
html = html + template.render(templatepath + 'export.html', {})
html = html + template.render(templatepath + '04uberoutput_end.html', {})
html = html + template.render(templatepath + '06uberfooter.html', {'links': ''})
rest_funcs.save_dic(html, kabam_obj.__dict__, "kabam", "single")
self.response.out.write(html)