def current_loans():
global predictions, load_time
cur_time = time.time()
if (cur_time - load_time) > refresh_loan_time:
load_time = cur_time
print('Grabbing loan data at {}'.format(load_time))
predictions = LCP.get_LC_loans(auth_keys['LC_auth_key'], model_data,
zip3_loc_data, use_grades)
mform = cl_form(request.form)
if request.method == 'POST':
app.cl_form = mform
return redirect('/current_loans_results')
else:
fig = LCP.make_dp_ret_figure(predictions, 0, predictions)
plt.savefig(fig_dir + 'cl_dp_ret.png', dpi=500, format='png')
plt.close()
return render_template('current_loans.html', cl_form=mform,
rnum=np.random.randint(0,100000),
tot_loans=len(predictions))
def current_loans():
global predictions, load_time
cur_time = time.time()
if (cur_time - load_time) > refresh_loan_time:
load_time = cur_time
print('Grabbing loan data at {}'.format(load_time))
predictions = LCP.get_LC_loans(auth_keys['LC_auth_key'], model_data,
zip3_loc_data, use_grades)
mform = cl_form(request.form)
if request.method == 'POST':
app.cl_form = mform
return redirect('/current_loans_results')
else:
fig = LCP.make_dp_ret_figure(predictions, 0, predictions)
plt.savefig(fig_dir + 'cl_dp_ret.png', dpi=500, format='png')
plt.close()
return render_template('current_loans.html',
cl_form=mform,
rnum=np.random.randint(0, 100000),
tot_loans=len(predictions))
LD['short_purpose'] = LD['purpose'].map(purpose_map)
LD['issue_year'] = LD['issue_d'].dt.year
# load base map and get state and county paths
app.base_map = LCL.load_base_map(fig_dir + map_name)
(app.county_paths,app.state_paths) = LCL.get_map_paths(app.base_map,fips_to_zip)
predictor = namedtuple('predictor', ['col_name', 'full_name', 'norm_type'])
model_data = LCP.load_pickled_models()
sim_lookup = LCP.get_validation_data()
#%%
use_grades = ['A','B','C','D','E','F']
load_time = time.time()
print('Grabbing loan data at {}'.format(load_time))
predictions = LCP.get_LC_loans(auth_keys['LC_auth_key'], model_data,
zip3_loc_data, use_grades)
#%%
@app.route('/') #redirect to index page
def main():
return redirect('/index')
# page where user selects desired stock features to plot
@app.route('/index',methods=['GET'])
def index():
return render_template('home.html', app_title=app_title) #if request method was GET
# form page for making plots by borrower location
@app.route('/loan_mapping', methods=['GET','POST'])
LD['issue_year'] = LD['issue_d'].dt.year
# load base map and get state and county paths
app.base_map = LCL.load_base_map(fig_dir + map_name)
(app.county_paths,
app.state_paths) = LCL.get_map_paths(app.base_map, fips_to_zip)
predictor = namedtuple('predictor', ['col_name', 'full_name', 'norm_type'])
model_data = LCP.load_pickled_models()
sim_lookup = LCP.get_validation_data()
#%%
use_grades = ['A', 'B', 'C', 'D', 'E', 'F']
load_time = time.time()
print('Grabbing loan data at {}'.format(load_time))
predictions = LCP.get_LC_loans(auth_keys['LC_auth_key'], model_data,
zip3_loc_data, use_grades)
#%%
@app.route('/') #redirect to index page
def main():
return redirect('/index')
# page where user selects desired stock features to plot
@app.route('/index', methods=['GET'])
def index():
return render_template('home.html',
app_title=app_title) #if request method was GET
