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"""
Page to analyse the link between crs codes, countries and organizations
"""
################
# DEPENDENCIES #
################
import streamlit as st
import pandas as pd
import utils.crs_table as crs_table
import utils.sdg_table as sdg_table
import utils.filter_modules as filter_modules
"""
from importlib.machinery import SourceFileLoader
crs_overlap = SourceFileLoader("crs_overlap", "data/models/crs_overlap.py").load_module()
sdg_overlap = SourceFileLoader("sdg_overlap", "data/models/sdg_overlap.py").load_module()
CONSTANTS = SourceFileLoader("CONSTANTS", "config/CONSTANTS.py").load_module()
# CHACHE DATA
# FETCH NEEDED DATA AND STORE IN CHACHE MEMORY TO SAVE LOADING TIME
@st.cache_data
def getCRS3():
# Read in CRS3 CODELISTS
crs3_df = pd.read_csv('app/src/codelists/crs3_codes.csv')
CRS3_CODES = crs3_df['code'].tolist()
CRS3_NAME = crs3_df['name'].tolist()
CRS3_MERGED = {f"{name} - {code}": code for name, code in zip(CRS3_NAME, CRS3_CODES)}
return CRS3_MERGED
@st.cache_data
def getCRS5():
# Read in CRS3 CODELISTS
crs5_df = pd.read_csv('app/src/codelists/crs5_codes.csv')
CRS5_CODES = crs5_df['code'].tolist()
CRS5_NAME = crs5_df['name'].tolist()
CRS5_MERGED = {code: [f"{name} - {code}"] for name, code in zip(CRS5_NAME, CRS5_CODES)}
return CRS5_MERGED
@st.cache_data
def getSDG():
# Read in SDG CODELISTS
sdg_df = pd.read_csv('app/src/codelists/sdg_goals.csv')
SDG_NAMES = sdg_df['name'].tolist()
return SDG_NAMES
@st.cache_data
def getCountry():
# Read in countries from codelist
country_df = pd.read_csv('app/src/codelists/country_codes_ISO3166-1alpha-2.csv')
COUNTRY_CODES = country_df['Alpha-2 code'].tolist()
COUNTRY_NAMES = country_df['Country'].tolist()
return country_df, COUNTRY_CODES, COUNTRY_NAMES
CRS3_MERGED = getCRS3()
CRS5_MERGED = getCRS5()
SDG_NAMES = getSDG()
country_df, COUNTRY_CODES, COUNTRY_NAMES = getCountry()
# SPECIAL SELECTIONS
## COUNTRY
SPECIAL_COUNTRY_SLECTIONS = ["All"]
SHOW_ALL_COUNTRIES = False # If all countries should be showed in matching
## ORGANIZATION
SPECIAL_ORGA_SLECTIONS = ["All"]
SHOW_ALL_ORGAS = False
"""
########
# PAGE #
########
def show_page():
"""
def show_crs():
# SESSION STATES
st.session_state.crs5_option_disabled = True
# SELECTION FIELDS
col1, col2 = st.columns([1, 1])
with col1:
#####################
# CRS 3 CODE SELECT #
#####################
crs3_option = st.multiselect(
'CRS 3',
CRS3_MERGED,
placeholder="Select"
)
#####################
# CRS 5 CODE SELECT #
#####################
# Only enable crs5 select field when crs3 code is selected
if crs3_option != []:
st.session_state.crs5_option_disabled = False
# define list of crs5 codes dependend on crs3 codes
crs5_list = [txt[0].replace('"', "") for crs3_item in crs3_option for code, txt in CRS5_MERGED.items() if str(code)[:3] == str(crs3_item)[-3:]]
# crs5 select field
crs5_option = st.multiselect(
'CRS 5',
crs5_list,
placeholder="Select",
disabled=st.session_state.crs5_option_disabled
)
with col2:
# COUNTRY SELECTION
country_option = filter_modules.country_option(SPECIAL_COUNTRY_SLECTIONS, COUNTRY_NAMES)
# ORGA SELECTION
orga_option = filter_modules.orga_option(SPECIAL_ORGA_SLECTIONS, CONSTANTS.ORGA_SEARCH)
################
# SHOW RESULTS #
################
# Extract Orgas from multiselect
if "All" in orga_option:
SHOW_ALL_ORGAS = True
selected_orgas = []
else:
SHOW_ALL_ORGAS = False
selected_orgas = [str(o).replace(")", "").lower().split("(")[1] for o in orga_option]
if country_option != []:
# all selection
if "All" in country_option:
SHOW_ALL_COUNTRIES = True
country_option.remove("All")
else:
SHOW_ALL_COUNTRIES = False
if crs3_option != []:
# CRS 3 codes from option
crs3_list = [i[-3:] for i in crs3_option]
# get country codes from multiselect
country_names = [str(c) for c in country_option]
country_codes = [
country_df[country_df['Country'] == c]['Alpha-2 code'].values[0].replace('"', "").strip(" ")
for c in country_names
]
result_df = crs_overlap.calc_crs3(crs3_list, country_codes, selected_orgas, SHOW_ALL_COUNTRIES, SHOW_ALL_ORGAS)
if crs5_option != []:
# CRS 5 codes from option
crs5_list = [i[-5:] for i in crs5_option]
result_df = crs_overlap.calc_crs5(crs5_list, country_codes, selected_orgas, SHOW_ALL_COUNTRIES, SHOW_ALL_ORGAS)
# TABLE FOR CRS OVERLAP
crs_table.show_table(result_df)
def show_sdg():
# SELECTION
col1, col2 = st.columns([1, 1])
with col1:
# CRS3 CODE SELECT
sdg_option = st.selectbox(
label = 'SDG',
index = None,
placeholder = "Select SDG",
options = SDG_NAMES,
)
with col2:
# COUNTRY SELECTION
country_option = filter_modules.country_option(SPECIAL_COUNTRY_SLECTIONS, COUNTRY_NAMES)
# ORGA SELECTION
orga_option = filter_modules.orga_option(SPECIAL_ORGA_SLECTIONS, CONSTANTS.ORGA_SEARCH)
# SHOW RESULTS
if sdg_option != None:
sdg_int = int(sdg_option.split(" ")[0].replace(".", ""))
# Extract Orgas from multiselect
if "All" in orga_option:
SHOW_ALL_ORGAS = True
selected_orgas = []
else:
SHOW_ALL_ORGAS = False
selected_orgas = [str(o).replace(")", "").lower().split("(")[1] for o in orga_option]
if country_option != []:
# all selection
if "All" in country_option:
SHOW_ALL_COUNTRIES = True
country_option.remove("All")
else:
SHOW_ALL_COUNTRIES = False
country_names = [str(c) for c in country_option]
country_codes = [
country_df[country_df['Country'] == c]['Alpha-2 code'].values[0].replace('"', "").strip(" ")
for c in country_names
]
result_df = sdg_overlap.calc_crs3(sdg_int, country_codes, selected_orgas, SHOW_ALL_COUNTRIES, SHOW_ALL_ORGAS)
# TABLE FOR SDG OVERLAP
sdg_table.show_table(result_df)
# SELECT IF CRS or SDG Match
match_option = st.selectbox(
label = 'Matching Method',
index = 0,
placeholder = "Select",
options = ["CRS", "SDG"],
)
st.write("------------------")
if match_option == "CRS":
show_crs()
elif match_option == "SDG":
show_sdg()
"""
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