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asylex_automation.py
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asylex_automation.py
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import gspread
from oauth2client.service_account import ServiceAccountCredentials
import pandas as pd
import os
import json
import geojson
import datetime
## Get environment variables
GCP_SERVICE_ACCOUNT_KEY = os.environ["GCP_SERVICE_ACCOUNT_KEY"]
SHEET_ID = os.environ["SHEET_ID"]
GEOJSON_SMALL = "data/countries_small_updated_Aug2024.geojson"
TREATY_BODIES = "data/UNTrendyBodyAndRegionalOnes.json"
french_pattern = r'[ô]'
## SOURCE: https://medium.com/geekculture/2-easy-ways-to-read-google-sheets-data-using-python-9e7ef366c775
# Set up the credentials
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/spreadsheets",
"https://www.googleapis.com/auth/drive.file", "https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_dict(json.loads(GCP_SERVICE_ACCOUNT_KEY), scope)
client = gspread.authorize(creds)
# Open the Google Sheet using its name
sheet = client.open_by_key(SHEET_ID)
#Read the treaty bodies
untreatybodies = sheet.worksheet('UNTreatyBodies').get_all_records()
regionalbodies = sheet.worksheet('Regional').get_all_records()
all_bodies = { "UNTrendyBody" : untreatybodies,
"regionalOnes" : regionalbodies,
"datetime": str(datetime.datetime.now())}
color_codes = {
8: "0041C7",
6: "0160C9",
3: "0D85D8",
1: "1CA3DE",
0: "#FFF",
}
#write to the specified json file
with open(TREATY_BODIES, "w+") as fp:
json_load = json.dumps(all_bodies, indent=2)
fp.write(json_load)
#adding code just so as to run the workflow
x=1
# Reading the sheet 1 - with country data
sheet = client.open_by_key(SHEET_ID)
country_df = pd.DataFrame(sheet.sheet1.get_all_records())
country_df["Country"] = country_df["Country"].apply(lambda x: x.strip())
# Reading the geojson file
with open(GEOJSON_SMALL) as fp:
geojson_small = geojson.load(fp)
def row2json_reg(row):
json_d = dict()
if row[5] == "-" or pd.isnull(row[5]) or row[5] == "":
return -1
json_d["Institution"] = "-" if pd.isnull(row[5]) else row[5]
json_d["IndividualComplaint"] = "-" if pd.isnull(row[6]) else row[6]
return json_d
def row2json_un(row):
json_d = dict()
if row[1] == "-" or pd.isnull(row[1]) or row[1] == "":
return -1
json_d[row.index[1]] = "-" if pd.isnull(row[1]) else row[1]
json_d[row.index[2].replace(" ", "")] = "-" if pd.isnull(row[2]) else row[2]
json_d[row.index[3]] = "-" if pd.isnull(row[3]) else row[3]
json_d[row.index[4].replace(" ", "")] = "-" if pd.isnull(row[4]) else row[4]
return json_d
for bbox in geojson_small["features"]:
country = bbox["properties"]["ADMIN"]
if country == 'Côte d’Ivoire':
temp = country_df[country_df["Country"].str.contains(french_pattern, case=False, na=False)]
else:
temp = country_df[country_df["Country"] == country]
hr_list=list()
reg_list=list()
for idx, row in temp.iterrows():
hr_list.append(row2json_un(row))
if hr_list[-1] == -1:
hr_list.pop(-1)
reg_list.append(row2json_reg(row))
if reg_list[-1] == -1:
reg_list.pop(-1)
bbox["properties"]["UNTreatyBody"] = hr_list
bbox["properties"]["regionalHumanRightsMechanism"] = reg_list
# Checking the total number of available agencies and mapping them to the color code
# The count will have to be rounded of to the mapping -- dont remember how I did it in
# the first iteration. I think that was way back when I was in Kawal
agency_count = len(hr_list) + len(reg_list)
if agency_count < 3:
agency_count = 1
elif agency_count < 6:
agency_count = 3
elif agency_count < 8:
agency_count = 6
else:
agency_count = 8
bbox["properties"]["colour"] = color_codes[agency_count]
geojson_small["datetime"] = str(datetime.datetime.now())
with open(GEOJSON_SMALL, "w+") as fp:
json_load = json.dumps(geojson_small, indent=2)
fp.write(json_load)