diff options
Diffstat (limited to 'src')
| -rw-r--r-- | src/app.py | 180 | ||||
| -rw-r--r-- | src/charts.json | 77 | ||||
| -rw-r--r-- | src/database.py | 434 | ||||
| -rw-r--r-- | src/insinuations.py | 86 | ||||
| -rw-r--r-- | src/parser.py | 85 | ||||
| -rw-r--r-- | src/static/scripts.js | 319 | ||||
| -rw-r--r-- | src/static/style.css | 144 | ||||
| -rw-r--r-- | src/static/ukcounties.json | 1 | ||||
| -rw-r--r-- | src/templates/index.html.j2 | 16 | ||||
| -rw-r--r-- | src/templates/plot.html.j2 | 8 | ||||
| -rw-r--r-- | src/templates/search.html.j2 | 16 | ||||
| -rw-r--r-- | src/templates/template.html.j2 | 95 |
12 files changed, 1461 insertions, 0 deletions
diff --git a/src/app.py b/src/app.py new file mode 100644 index 0000000..aa0d2b7 --- /dev/null +++ b/src/app.py @@ -0,0 +1,180 @@ +from paste.translogger import TransLogger +from waitress import serve +import database +import urllib.parse +import flask +import sys +import json +import os + +app = flask.Flask(__name__) + +if not os.path.exists(os.path.join(os.path.dirname(__file__), "..", ".docker")): + import dotenv + dotenv.load_dotenv(dotenv_path = os.path.join(os.path.dirname(__file__), "..", "db.env")) + host = "srv.home" +else: + host = "db" + +with open(os.path.join(os.path.dirname(__file__), "static", "ukcounties.json"), "r") as f: + UK_GEOJSON = json.load(f) + +@app.route("/") +def serve_index(): + return flask.render_template( + "index.html.j2", + title = "UK Gender Pay Gap", + charts = get_charts()["index"] + ) + +def get_charts(): + with open(os.path.join(os.path.dirname(__file__), "charts.json"), "r") as f: + return json.load(f) + +@app.route("/api/charts.json") +def serve_charts(): + return flask.jsonify(get_charts()) + + +@app.route("/search_click", methods = ["POST"]) +def search_redirect(): + return flask.redirect("/search?s=%s" % urllib.parse.quote_plus(dict(flask.request.form)["search"])) + +@app.route("/plot/<name>/apply_click", methods = ["POST"]) +def apply_redirect(name): + new_args = {} + res = dict(flask.request.form) + for k, v in res.items(): + if k == "allyears": + continue + if k == "yearslider": + with database.PayGapDatabase(host = host) as db: + new_args["year"] = db.get_years()[int(v) - 1] + elif v != "No filter": + new_args[k] = v + + + if "allyears" in res.keys(): + if res["allyears"] == "allyears": + del new_args["year"] + + # print("/" + "/".join(flask.request.full_path.split("/")[1:-1]) + "?" + urllib.parse.urlencode(new_args)) + return flask.redirect("/" + "/".join(flask.request.full_path.split("/")[1:-1]) + "?" + urllib.parse.urlencode(new_args)) + +@app.route("/api/years") +def api_get_years(): + pay_type = flask.request.args.get("Pay Type") + sic_type = flask.request.args.get("SIC Type") + employer_type = flask.request.args.get("Employer Type") + employer_size = flask.request.args.get("Employer Size") + # print("sic_type", sic_type) + # print("employer_type", employer_type) + # print("employer_size", employer_size) + if pay_type is None or pay_type.lower() not in {'hourly', 'bonuses'}: + return flask.abort(400, "The key `pay type` must be equal to 'hourly' or 'bonuses'") + with database.PayGapDatabase(host = host) as db: + return flask.jsonify(db.get_pay_by_year(pay_type, sic_section_name = sic_type, employer_size = employer_size, employer_type = employer_type)) + +@app.route("/api/sic_sec") +def api_get_sic_section_pay(): + pay_type = flask.request.args.get("Pay Type") + year = flask.request.args.get("year") + # print("year: '%s'" % year) + if pay_type is None or pay_type.lower() not in {'hourly', 'bonuses'}: + return flask.abort(400, "The key `pay type` must be equal to 'hourly' or 'bonuses'") + with database.PayGapDatabase(host = host) as db: + if year is not None: + if year not in db.get_years(): + return flask.abort(400, "Unrecognised year '%s'. The year option must be in %s" % (year, ", ".join(db.get_years()))) + + return flask.jsonify(db.get_pay_by_sic_section(pay_type, year)) + +@app.route("/api/heatmap") +def api_get_heatmap_data(): + # pay_type = flask.request.args.get("Pay Type") + year = flask.request.args.get("year") + # print("year: '%s'" % year) + # if pay_type is None or pay_type.lower() not in {'hourly', 'bonuses'}: + # return flask.abort(400, "The key `pay type` must be equal to 'hourly' or 'bonuses'") + with database.PayGapDatabase(host = host) as db: + if year is not None: + if year not in db.get_years(): + return flask.abort(400, "Unrecognised year '%s'. The year option must be in %s" % (year, ", ".join(db.get_years()))) + + return flask.jsonify(db.get_heatmap_data("hourly", year)) + +@app.route("/api/getyears") +def api_get_year_options(): + with database.PayGapDatabase(host = host) as db: + return flask.jsonify(db.get_years()) + +@app.route("/search") +def search(): + with database.PayGapDatabase(host = host) as db: + search_text = flask.request.args.get("s") + companies = db.search_company(search_text) + if len(companies) == 1: + return flask.redirect("/company/%s" % companies[0][1]) + + return flask.render_template( + "search.html.j2", + title = "Search", + companies = companies + ) + +def get_chart_elem(url): + for i in get_charts()["index"]: + # print(i["url"], url) + # if i["url"] == url: + # return i + if url.startswith(i["url"]): + return i + +def get_chart_elem_strict(url): + for i in get_charts()["index"]: + print(urllib.parse.urlsplit(i["url"]).path, urllib.parse.urlsplit(url).path) + if urllib.parse.urlsplit(i["url"]).path == urllib.parse.urlsplit(url).path: + return i + +@app.route("/plot/<name>") +def serve_large_plot(name): + with database.PayGapDatabase(host = host) as db: + # print(flask.request.full_path) + elem = get_chart_elem(flask.request.full_path) + # if elem is None: + # elem = get_chart_elem_strict(flask.request.full_path) + filters = elem["filters"] + for k, v in filters.items(): + if v == "<SICType>": + filters[k] = {"options": db.get_sic_sections()} + if v == "<CompanyType>": + filters[k] = {"options": db.get_company_types()} + if v == "<CompanySize>": + filters[k] = {"options": db.get_company_sizes()} + if v == "<Years>": + filters[k] = {"yearslider": db.get_years()} + + elem["url"] = flask.request.full_path + # print("elem", elem) + current_filters = dict(flask.request.args) + print("filters", filters) + print("current_filters", current_filters) + return flask.render_template( + "plot.html.j2", + title = elem["title"], + elem = elem, + alt = elem["description"], + filters = filters, + current_filters = current_filters, + len = len + ) + +if __name__ == "__main__": + try: + if sys.argv[1] == "--production": + #serve(TransLogger(app), host='127.0.0.1', port = 6969) + serve(TransLogger(app), host='0.0.0.0', port = 5006, threads = 32) + else: + app.run(host = "0.0.0.0", port = 5005, debug = True) + except IndexError: + app.run(host = "0.0.0.0", port = 5005, debug = True)
\ No newline at end of file diff --git a/src/charts.json b/src/charts.json new file mode 100644 index 0000000..8624fec --- /dev/null +++ b/src/charts.json @@ -0,0 +1,77 @@ +{ + "index": + [ + { + "title": "Median Hourly Pay by County or Local Authority: Choropleth Map", + "url": "/plot/heatmap", + "filters": { + "Year": "<Years>" + }, + "description": "A chloropleth map showing gender pay inequality data in the counties or local authorities of the United Kingdom. The general trend is that women get paid 5-15% less but there are some areas in the South of England where women get paid 15% less hourly. There are some parts of South Wales, North Wales or Northern Ireland where women get paid slightly more. In some parts of Scotland hourly pay is nearly equal. The user can adjust the time frame of the data being shown, back to 2017. The default is all years. The general trend is as time continues forwards, fewer parts of the country have equal pay and more pay inequality appears on the map. As with all chloropleth maps, it is important to consider population density." + }, + { + "title": "Median Hourly Pay Difference by Year", + "url": "/plot/years?Pay+Type=Hourly", + "filters": { + "Pay Type": { + "options": [ + "Hourly", + "Bonuses" + ], + "default": "Hourly" + }, + "SIC Type": "<SICType>", + "Employer Type": "<CompanyType>", + "Employer Size": "<CompanySize>" + }, + "description": "A line plot showing hourly gender pay inequality data from 2017 to today. Hourly pay for women is 12-15% lower for all time periods and hasn't changed much. The user can filter down the data into SIC Categories (SIC is a system of codes to describe what an employer does), employer types (for example a private corporation or overseas entity) and the employer size. The overral trend doesn't change much with these filters, but some fields have more or less gender inequality in hourly pay. For example social work activities, and the accomodation and food industry typically have less inequality, i.e. 6-10% less. The areas with the greatest inequality are in the construction, financial services and education industries, where it can be 20-25% less per hour. Public sector employers typically have more pay inequality, from around 13% to 17%. In terms of number of employees, the general trend is that the more employees an employer has, the less pay inequality there is: From 13% to 9%." + }, + { + "title": "Median Bonus Pay Difference by Year", + "url": "/plot/years?Pay+Type=Bonuses", + "filters": { + "Pay Type": { + "options": [ + "Hourly", + "Bonuses" + ], + "default": "Bonuses" + }, + "SIC Type": "<SICType>", + "Employer Type": "<CompanyType>", + "Employer Size": "<CompanySize>" + }, + "description": "A line plot showing median bonus pay in a time-series from 2017 to today. In 2017 to 2018 the women received more bonuses than men but in previous years this trend has reduced (from +7% to -7% approximately). The user can filter down the plot according to SIC Categories (SIC is a system of codes to describe what an employer does), employer types (for example a private corporation or overseas entity) and the employer size. The general trend is that employers who work in traditional male dominated areas pay their female employees more in bonues than other areas, for example in waste management storage they are paid more than men. In most other fields, however, women are paid much less in bonses than men. In some field, like health and social work, as well as in education, men and women are generally paid a similar amount in bonuses. Generally private corportations pay their female employers 10% more in bonuses than public sector employers. The number of employees does not seem to have an impact upon the general trend." + }, + { + "title": "Median Hourly Pay Difference by SIC Section", + "url": "/plot/sic_sec?Pay+Type=Hourly", + "filters": { + "Pay Type": { + "options": [ + "Hourly", + "Bonuses" + ], + "default": "Hourly" + }, + "Year": "<Years>" + }, + "description": "A bar chart showing median hourly pay inequality by SIC Section. SIC is a system that describes the business of an employer. All employer types pay their female employees less than their male employees, but the specific amount less varies. In the human health and social works sector, and the accomodation and food industry sectors, for example, it is 5% lower, and in the construction, mining and financial services industries it is 20-24% lower. The user can filter down these results to a specific year section, from 2017 to today. Refining the year does not seem to have an effect upon the general trend." + }, + { + "title": "Median Bonus Pay Difference by SIC Section", + "url": "/plot/sic_sec?Pay+Type=Bonuses", + "filters": { + "Pay Type": { + "options": [ + "Hourly", + "Bonuses" + ], + "default": "Bonuses" + }, + "Year": "<Years>" + }, + "description": "A bar chart showing median bonus pay gender inequality by SIC Section. SIC is a system that describes the business of an employer. The general trend is the same as hourly median pay, but in some fields such as waste management, transportation and storage, and construction, women are sometimes paid significantly more than men in bonus pay. The user can refine the chart by filtering down to a specific year. The general trend of doing this is that during the years 2019-2020 bonus pay inequality increased, with most employers paying their female employees less, but this trend has not generally continued." + } + ] +}
\ No newline at end of file diff --git a/src/database.py b/src/database.py new file mode 100644 index 0000000..d67b96c --- /dev/null +++ b/src/database.py @@ -0,0 +1,434 @@ +from dataclasses import dataclass +import operator +import datetime +import pymysql +import pandas +import app +import os + +@dataclass +class PayGapDatabase: + + postcode_lookup_obj = None + host: str = "db" + user: str = "root" + passwd: str = None + db: str = "paygap" + port: int = 3306 + + def __enter__(self): + if self.passwd is None: + self.passwd = os.environ["MYSQL_ROOT_PASSWORD"] + + try: + self.__connection = self.__get_connection() + except Exception as e: + print(e) + if e.args[0] == 1049: + self.__connection = self.__build_db() + return self + + def __exit__(self, type, value, traceback): + self.__connection.close() + + def __get_connection(self): + return pymysql.connect( + host = self.host, + port = self.port, + user = self.user, + passwd = self.passwd, + charset = "utf8mb4", + database = self.db + ) + + def __build_db(self): + print("Building database...") + self.__connection = pymysql.connect( + host = self.host, + port = self.port, + user = self.user, + passwd = self.passwd, + charset = "utf8mb4", + ) + with self.__connection.cursor() as cursor: + # unsafe: + cursor.execute("CREATE DATABASE %s" % self.db) + cursor.execute("USE %s" % self.db) + + cursor.execute(""" + CREATE TABLE sic_sections( + sic_section_id CHAR(1) NOT NULL PRIMARY KEY, + sic_section_name VARCHAR(128) NOT NULL + ); + """) + + cursor.execute(""" + CREATE TABLE sic( + sic_code INT UNSIGNED NOT NULL PRIMARY KEY, + sic_description VARCHAR(512) NOT NULL, + sic_section CHAR(1) NOT NULL, + FOREIGN KEY (sic_section) REFERENCES sic_sections(sic_section_id) + ); + """) + + cursor.execute(""" + CREATE TABLE employer( + company_number CHAR(8) NOT NULL PRIMARY KEY, + name VARCHAR(512) NOT NULL, + address TEXT NOT NULL, + postcode VARCHAR(8) NOT NULL, + policy_link VARCHAR(256) NULL, + responsible_person VARCHAR(128) NOT NULL, + size VARCHAR(20) NOT NULL, + current_name VARCHAR(512) NULL, + status VARCHAR(32) NULL, + type_ VARCHAR(128) NULL, + incorporated DATETIME NULL + ) + """) + + cursor.execute(""" + CREATE TABLE employer_sic( + company_number CHAR(8) NOT NULL, + sic_code INT UNSIGNED NOT NULL, + PRIMARY KEY (company_number, sic_code), + FOREIGN KEY (company_number) REFERENCES employer(company_number), + FOREIGN KEY (sic_code) REFERENCES sic(sic_code) + ); + """) + + cursor.execute(""" + CREATE TABLE pay( + pay_id INT UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY, + company_number CHAR(8) NOT NULL, + source VARCHAR(64) NOT NULL, + date_submitted DATETIME NOT NULL, + DiffMeanHourlyPercent DECIMAL(8,3) NOT NULL, + DiffMedianHourlyPercent DECIMAL(8,3) NOT NULL, + DiffMeanBonusPercent DECIMAL(8,3) NOT NULL, + DiffMedianBonusPercent DECIMAL(8,3) NOT NULL, + MaleBonusPercent DECIMAL(8,3) NOT NULL, + FemaleBonusPercent DECIMAL(8,3) NOT NULL, + MaleLowerQuartile DECIMAL(8,3) NOT NULL, + FemaleLowerQuartile DECIMAL(8,3) NOT NULL, + MaleLowerMiddleQuartile DECIMAL(8,3) NOT NULL, + FemaleLowerMiddleQuartile DECIMAL(8,3) NOT NULL, + MaleUpperMiddleQuartile DECIMAL(8,3) NOT NULL, + FemaleUpperMiddleQuartile DECIMAL(8,3) NOT NULL, + MaleTopQuartile DECIMAL(8,3) NOT NULL, + FemaleTopQuartile DECIMAL(8,3) NOT NULL, + FOREIGN KEY (company_number) REFERENCES employer(company_number) + ); + """) + + self.__connection.commit() + return self.__connection + + def _wrap_percent(self, word): + return "%%%s%%" % (word) + + def append_sic_sections(self, section_id, description): + # print("Section ID: '%s', Description: '%s'" % (section_id, description)) + with self.__connection.cursor() as cursor: + cursor.execute(""" + INSERT INTO sic_sections VALUES (%s, %s) ON DUPLICATE KEY UPDATE sic_section_name = %s; + """, (section_id, description, description)) + self.__connection.commit() + + def append_sic(self, code, description, section_id): + print("Appended code %d (%s) under section %s" % (code, description, section_id)) + with self.__connection.cursor() as cursor: + cursor.execute(""" + INSERT INTO sic VALUES (%s, %s, %s) ON DUPLICATE KEY UPDATE sic_description = %s, sic_section = %s; + """, (code, description, section_id, description, section_id)) + self.__connection.commit() + + def append_employer(self, company_number, name, address, postcode, policy_link, responsible_person, size, current_name, \ + status, type_, incorporated, sics): + + # print("incorporated: %s" % str(incorporated)) + # print("sics", sics) + # print("name: %s" % name) + with self.__connection.cursor() as cursor: + cursor.execute(""" + INSERT INTO employer (company_number, name, address, postcode, policy_link, responsible_person, size, current_name, status, type_, incorporated) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + name = %s, address = %s, postcode = %s, policy_link = %s, responsible_person = %s, size = %s, + current_name = %s, status = %s, type_ = %s, incorporated = %s; + """, ( + company_number, name, address, postcode, policy_link, responsible_person, size, current_name, status, type_, incorporated, + name, address, postcode, policy_link, responsible_person, size, current_name, status, type_, incorporated + )) + # sql = """INSERT INTO employer (company_number, name, address, postcode, policy_link, responsible_person, size, current_name, status, type_, incorporated) + # VALUES ('%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s', '%s');""" % ( + # company_number, name, address, postcode, policy_link, responsible_person, size, current_name, status, type_, incorporated + # ) + # print(sql) + + self.append_employer_sics(company_number, sics) + self.__connection.commit() + + def append_pay_info(self, company_number, source, date_submitted, diff_mean_hourly_percent, diff_median_hourly_percent, \ + diff_mean_bonus_percent, diff_median_bonus_percent, male_bonus_percent, female_bonus_percent, male_lower_quartile, \ + female_lower_quartile, male_lower_middle_quartile, female_lower_middle_quartile, male_upper_middle_quartile, \ + female_upper_middle_quartile, male_top_quartile, female_top_quartile): + + try: + float(diff_mean_hourly_percent) + except ValueError: + diff_mean_hourly_percent = None + + + with self.__connection.cursor() as cursor: + cursor.execute("DELETE FROM pay WHERE company_number = %s AND source = %s;", (company_number, source)) + + try: + cursor.execute(""" + INSERT INTO pay (company_number, source, date_submitted, DiffMeanHourlyPercent, DiffMedianHourlyPercent, + DiffMeanBonusPercent, DiffMedianBonusPercent, MaleBonusPercent, FemaleBonusPercent, MaleLowerQuartile, + FemaleLowerQuartile, MaleLowerMiddleQuartile, FemaleLowerMiddleQuartile, MaleUpperMiddleQuartile, + FemaleUpperMiddleQuartile, MaleTopQuartile, FemaleTopQuartile) VALUES ( + %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s + ); + """, ( + company_number, source, date_submitted, diff_mean_hourly_percent, diff_median_hourly_percent, + diff_mean_bonus_percent, diff_median_bonus_percent, male_bonus_percent, female_bonus_percent, male_lower_quartile, + female_lower_quartile, male_lower_middle_quartile, female_lower_middle_quartile, male_upper_middle_quartile, + female_upper_middle_quartile, male_top_quartile, female_top_quartile + )) + except pymysql.err.DataError: + return + + self.__connection.commit() + + + def append_employer_sics(self, company_number, sics): + with self.__connection.cursor() as cursor: + cursor.execute("DELETE FROM employer_sic WHERE company_number = %s", (company_number, )) + + for sic in sics: + cursor.execute("SELECT * FROM sic WHERE sic_code = %s", (sic, )) + if cursor.fetchone() != None: + cursor.execute("INSERT INTO employer_sic VALUES (%s, %s);", (company_number, sic)) + + def search_company(self, company_prefix): + with self.__connection.cursor() as cursor: + cursor.execute(""" + SELECT name, company_number FROM employer + WHERE name LIKE '%s' OR current_name LIKE '%s'; + """ % ( + self._wrap_percent(company_prefix), + self._wrap_percent(company_prefix) + )) + + return [(i[0].title(), i[1]) for i in cursor.fetchall()] + + def get_company_types(self): + with self.__connection.cursor() as cursor: + cursor.execute("SELECT DISTINCT type_ FROM employer WHERE type_ IS NOT NULL;") + return [i[0] for i in cursor.fetchall()] + + def get_company_sizes(self): + return [ + "Not Provided", + "Less than 250", + "250 to 499", + "500 to 999", + "1000 to 4999", + "5000 to 19,999", + "20,000 or more" + ] + + def get_sic_sections(self): + with self.__connection.cursor() as cursor: + cursor.execute("SELECT sic_section_name FROM sic_sections") + return [i[0] for i in cursor.fetchall()] + + def _source_name_to_year(self, source): + return os.path.splitext(source)[0].split("-")[-1].strip().replace("to", "-") + + def get_pay_by_year(self, pay_type, sic_section_name = None, employer_type = None, employer_size = None): + sql = "SELECT source, -AVG(" + if pay_type.lower() == "hourly": + sql += "DiffMedianHourlyPercent" + elif pay_type.lower() == "bonuses": + sql += "DiffMedianBonusPercent" + sql += ") FROM pay" + + subqueries = [] + args = [] + if sic_section_name is not None: + subqueries.append(""" + company_number IN ( + SELECT DISTINCT company_number FROM employer_sic WHERE sic_code IN ( + SELECT DISTINCT sic_code FROM sic WHERE sic_section = ( + SELECT sic_section_id FROM sic_sections WHERE sic_section_name = %s + ) + ) + )""") + args.append(sic_section_name) + if employer_type is not None: + subqueries.append(""" + company_number IN ( + SELECT company_number FROM employer WHERE type_ = %s + ) + """) + args.append(employer_type) + if employer_size is not None: + subqueries.append(""" + company_number IN ( + SELECT company_number FROM employer WHERE size = %s + ) + """) + args.append(employer_size) + + with self.__connection.cursor() as cursor: + if sic_section_name is not None or employer_type is not None or employer_size is not None: + sql += " WHERE {}".format(" OR ".join(subqueries)) + + sql += " GROUP BY source ORDER BY source;" + cursor.execute(sql, tuple(args)) + + else: + sql += " GROUP BY source ORDER BY source;" + cursor.execute(sql) + + # print(sql) + # print(tuple(args)) + return [(self._source_name_to_year(i[0]), float(i[1])) for i in cursor.fetchall()] + + def get_years(self): + with self.__connection.cursor() as cursor: + cursor.execute("SELECT DISTINCT source FROM pay;") + return [self._source_name_to_year(i[0]) for i in cursor.fetchall()] + + def get_pay_by_sic_section(self, pay_type, year = None): + pay = [] + for section_name in self.get_sic_sections(): + sql = "SELECT -AVG(" + if pay_type.lower() == "hourly": + sql += "DiffMedianHourlyPercent" + elif pay_type.lower() == "bonuses": + sql += "DiffMedianBonusPercent" + sql += """ + ) FROM pay WHERE company_number IN ( + SELECT DISTINCT company_number FROM employer_sic WHERE sic_code IN ( + SELECT DISTINCT sic_code FROM sic WHERE sic_section = ( + SELECT sic_section_id FROM sic_sections WHERE sic_section_name = %s + ) + ) + ) + """ + + if year is not None: + sql += " AND source LIKE %s" + + sql += ";" + + with self.__connection.cursor() as cursor: + # print(sql, (section_name, "%" + year.replace("to", "-") + "%")) + if year is None: + cursor.execute(sql, (section_name, )) + else: + cursor.execute(sql, (section_name, "%" + year.replace("-", "to") + "%")) + + f = cursor.fetchone()[0] + if f is not None: + pay.append((section_name, float(f))) + + return sorted(pay, key = operator.itemgetter(1), reverse = True) + + def get_heatmap_data(self, pay_type, year = None): + sql = "SELECT insinuated_loc, COUNT(insinuated_loc), -AVG(" + if pay_type.lower() == "hourly": + sql += "DiffMedianHourlyPercent" + elif pay_type.lower() == "bonuses": + sql += "DiffMedianBonusPercent" + sql += """ + ) FROM employer INNER JOIN pay ON pay.company_number = employer.company_number + WHERE insinuated_loc_type IS NOT NULL + """ + if year is not None: + sql += " AND source LIKE %s" + + sql += " GROUP BY insinuated_loc;" + + with self.__connection.cursor() as cursor: + if year is None: + cursor.execute(sql) + else: + cursor.execute(sql, ("%" + year.replace("-", "to") + "%", )) + + return [[i[0], i[1], float(i[2])] for i in cursor.fetchall()] + + def _get_postcode_lookup_obj(self, path_): + return pandas.read_csv(path_) + + def _get_counties(self): + return {feature["properties"]["name"] for feature in app.UK_GEOJSON["features"]} + + def append_counties(self, path_): + if self.postcode_lookup_obj is None: + self.postcode_lookup_obj = self._get_postcode_lookup_obj(path_) + + counties = self._get_counties() + postcodes = self._get_postcodes() + + with self.__connection.cursor() as cursor: + + cursor.execute("ALTER TABLE employer ADD COLUMN IF NOT EXISTS insinuated_loc VARCHAR(69) DEFAULT NULL;") + cursor.execute("ALTER TABLE employer ADD COLUMN IF NOT EXISTS insinuated_loc_type VARCHAR(25) DEFAULT NULL;") + + for i, j in enumerate(postcodes, 1): + id_, postcode = j + found_locations = self.postcode_lookup_obj[ + (self.postcode_lookup_obj["Postcode 1"] == postcode) | + (self.postcode_lookup_obj["Postcode 2"] == postcode) | + (self.postcode_lookup_obj["Postcode 3"] == postcode) + ] + if len(found_locations) == 1: + county, la = found_locations[["County Name", "Local Authority Name"]].values[0] + if la in counties: + cursor.execute("UPDATE employer SET insinuated_loc = %s, insinuated_loc_type = 'Local Authority' WHERE company_number = %s", (la, id_)) + + print("[%d/%d] Using local authority '%s' for postcode '%s'" % (i, len(postcodes), la, postcode)) + elif county in counties: + cursor.execute("UPDATE employer SET insinuated_loc = %s, insinuated_loc_type = 'County' WHERE company_number = %s", (county, id_)) + + print("[%d/%d] Using county '%s' for postcode '%s'" % (i, len(postcodes), county, postcode)) + elif "Northamptonshire" in la: + print("Manually fixing Northamptonshire...") + cursor.execute("UPDATE employer SET insinuated_loc = %s, insinuated_loc_type = 'County' WHERE company_number = %s", ("Northamptonshire", id_)) + elif "Bournemouth" in la: + print("Manually fixing Bournemouth...") + cursor.execute("UPDATE employer SET insinuated_loc = %s, insinuated_loc_type = 'County' WHERE company_number = %s", ("Bournemouth", id_)) + else: + print("[%d/%d] Didn't recoginse the local authority '%s' or the county '%s'" % (i, len(postcodes), la, county)) + else: + print("[%d/%d] Couldn't find a county for postcode '%s' (company id '%s')" % (i, len(postcodes), postcode, id_)) + + # break + self.__connection.commit() + + def _get_postcodes(self): + with self.__connection.cursor() as cursor: + cursor.execute("SELECT company_number, TRIM(SUBSTRING_INDEX(address, ',', -1)) FROM employer;") + return cursor.fetchall() + + + +if __name__ == "__main__": + if not os.path.exists(".docker"): + import dotenv + dotenv.load_dotenv(dotenv_path = "db.env") + host = "srv.home" + else: + host = "db" + + with PayGapDatabase(host = host) as db: + # print(db.get_years()) + # print(db.get_pay_by_sic_section("bonuses", None)) + print(db.get_heatmap_data("hourly", db.get_years()[0])) + # print(db.append_counties()) + diff --git a/src/insinuations.py b/src/insinuations.py new file mode 100644 index 0000000..107c84e --- /dev/null +++ b/src/insinuations.py @@ -0,0 +1,86 @@ +from lxml import html +import database +import datetime +import requests +import os + +def get_sics(db: database.PayGapDatabase, url = "https://resources.companieshouse.gov.uk/sic/"): + req = requests.get(url) + tree = html.fromstring(req.content.decode()) + bigtable = tree.xpath("/html/body/main/table/tbody")[0] + for tr_elem in bigtable.getchildren(): + td_code, td_description = tr_elem + + if td_code.getchildren() != []: + # if contains a <strong> element which indicates a section + current_section_code = td_code.getchildren()[0].text.replace("Section ", "").strip() + current_section_description = td_description.getchildren()[0].text.strip() + + db.append_sic_sections(current_section_code, current_section_description) + + else: + sic_code = int(td_code.text) + sic_desc = td_description.text.rstrip() + db.append_sic(sic_code, sic_desc, current_section_code) + +def get_companyinfo_url(company_number, url = "https://find-and-update.company-information.service.gov.uk/company/%s"): + if company_number.isdigit(): + company_number = "%08d" % int(company_number) + + return url % company_number + +def lookup_company(company_number): + company = {} + req = requests.get( + get_companyinfo_url(company_number), + headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_5_8) AppleWebKit/534.50.2 (KHTML, like Gecko) Version/5.0.6 Safari/533.22.3'} + ) + + if req.status_code not in [200, 404]: + raise ConnectionError("Couldn't connect- it %d'd. Was looking for company %s" % (req.status_code, company_number)) + + tree = html.fromstring(req.content.decode()) + + status_elem = tree.xpath('//*[@id="company-status"]') + if len(status_elem) == 1: + company["status"] = status_elem[0].text.strip() + else: + company["status"] = None + + incorp_elem = tree.xpath('//*[@id="company-creation-date"]') + if len(incorp_elem) == 1: + company["incorporated"] = datetime.datetime.strptime(incorp_elem[0].text.strip(), "%d %B %Y") + else: + company["incorporated"] = None + + type_elem = tree.xpath('//*[@id="company-type"]') + if len(type_elem) == 1: + company["type_"] = type_elem[0].text.strip() + else: + company["type_"] = None + + company["sics"] = set() + for i in range(9): + sic_elem = tree.xpath('//*[@id="sic%d"]' % i) + if len(sic_elem) == 1: + company["sics"].add(int(sic_elem[0].text.strip().split(" - ")[0])) + else: + break + + return company + +if __name__ == "__main__": + if not os.path.exists(".docker"): + import dotenv + dotenv.load_dotenv(dotenv_path = "db.env") + host = "localhost" + else: + host = "db" + + # with database.PayGapDatabase(host = host) as db: + # print(db.search_company("University")) + + import app + counties = [feature["properties"]["name"] for feature in app.UK_GEOJSON["features"]] + print(counties) + print(len(counties))
\ No newline at end of file diff --git a/src/parser.py b/src/parser.py new file mode 100644 index 0000000..f9e3e81 --- /dev/null +++ b/src/parser.py @@ -0,0 +1,85 @@ +import insinuations +import database +import datetime +import time +import json +import csv +import sys +import os + +def parse_csv(db, csv_path): + insinuations.get_sics(db) + + with open(csv_path, "r") as f: + num_lines = len(f.readlines()) + i = 0 + + with open(csv_path, "r") as f: + reader = csv.reader(f) + headers = next(reader) + + for name, id_, address, postcode, company_id, sic_codes, diff_mean_hourly_percent, diff_median_hourly_percent, \ + diff_mean_bonus_percent, diff_median_bonus_percent, male_bonus_percent, female_bonus_percent, male_lower_quartile, \ + female_lower_quartile, male_lower_middle_quartile, female_lower_middle_quartile, male_upper_middle_quartile, \ + female_upper_middle_quartile, male_top_quartile, female_top_quartile, policy_link, responsible_person, size, \ + current_name, submitted_after_deadline, duedate, submitted_date in reader: + + if company_id.strip() != "": + try: + sic_codes = {int(i.strip()) for i in sic_codes.split(",")} + except ValueError: + sic_codes = set() + + while True: + try: + company = insinuations.lookup_company(company_id) + except ConnectionError as e: + print("Couldn't connect... Error: '%s'... Waiting 20 seconds..." % str(e)) + time.sleep(20) + else: + break + + company["sics"] = company["sics"].union(sic_codes) + company["company_number"] = company_id + company["name"] = name + company["address"] = address + company["postcode"] = postcode + company["policy_link"] = policy_link + company["responsible_person"] = responsible_person + company["size"] = size + company["current_name"] = current_name + + print("%.2f%%" % ((i / num_lines) * 100), company) + print( + company_id, os.path.basename(csv_path), datetime.datetime.strptime(submitted_date, "%Y/%m/%d %H:%M:%S"), + diff_mean_hourly_percent, diff_median_hourly_percent, diff_mean_bonus_percent, diff_median_bonus_percent, + male_bonus_percent, female_bonus_percent, male_lower_quartile, female_lower_quartile, + male_lower_middle_quartile, female_lower_middle_quartile, male_upper_middle_quartile, + female_upper_middle_quartile, male_top_quartile, female_top_quartile + ) + db.append_employer(**company) + db.append_pay_info( + company_id, os.path.basename(csv_path), datetime.datetime.strptime(submitted_date, "%Y/%m/%d %H:%M:%S"), + diff_mean_hourly_percent, diff_median_hourly_percent, diff_mean_bonus_percent, diff_median_bonus_percent, + male_bonus_percent, female_bonus_percent, male_lower_quartile, female_lower_quartile, + male_lower_middle_quartile, female_lower_middle_quartile, male_upper_middle_quartile, + female_upper_middle_quartile, male_top_quartile, female_top_quartile + ) + i += 1 + + # break + +if __name__ == "__main__": + if not os.path.exists(".docker"): + import dotenv + dotenv.load_dotenv(dotenv_path = "db.env") + host = "srv.home" + else: + host = "db" + + with database.PayGapDatabase(host = host) as db: + p = sys.argv[1] + if os.path.basename(p) == "National_Statistics_Postcode_Lookup_UK.csv": + db.append_counties(p) + else: + parse_csv(db, p)
\ No newline at end of file diff --git a/src/static/scripts.js b/src/static/scripts.js new file mode 100644 index 0000000..9b52215 --- /dev/null +++ b/src/static/scripts.js @@ -0,0 +1,319 @@ +function collapseTogglePress(elem, a_elem, num_hidden) { + if (getComputedStyle(document.getElementById(elem)).display === "none") { + document.getElementById(elem).style.display = "block"; + document.getElementById(a_elem).innerText = `Hide ${num_hidden} filters` + } else { + document.getElementById(elem).style.display = "none"; + document.getElementById(a_elem).innerText =`Un-hide ${num_hidden} hidden filters` + } +} + +const PLOT_FUNC_MAPPINGS = { + "years": draw_plot_years, + "sic_sec": draw_plot_sic_sections, + "heatmap": draw_heatmap +} + +$(document).ready(function() { + const filterform = document.getElementById("filterform"); + if (filterform !== null) { + filterform.action = window.location.pathname + "/apply_click"; + } + + const slider = document.getElementById("yearslider"); + if (slider !== null) { + slider.onchange = function() { + fetch("/api/getyears").then(resp => { + resp.json().then(years => { + document.getElementById("slider_val").innerHTML = "Year range: " + years[Number(this.value) - 1]; + }); + }); + } + } + + fetch("/api/charts.json").then((resp) => { + resp.json().then((body) => { + const CHARTS = body; + + var minicharts = document.getElementsByClassName("minichart"); + for (var i = 0; i < minicharts.length; i++) { + var theId = minicharts.item(i).id; + var u = new URL(window.location.origin + theId); + var theIdSplit = u.pathname.split("/"); + + CHARTS["index"].forEach(element => { + if (theId === "/minichart" + element.url) { + filters = element["filters"]; + } + }); + + PLOT_FUNC_MAPPINGS[theIdSplit[theIdSplit.length - 1]](theId, filters); + } + + var charts = document.getElementsByClassName("chart"); + for (var i = 0; i < charts.length; i++) { + var theId = charts.item(i).id; + var u = new URL(window.location.origin + theId); + var theIdSplit = u.pathname.split("/"); + + CHARTS["index"].forEach(element => { + if (location.href.substr(location.href.indexOf(location.host)+location.host.length).startsWith(element["url"])) { + // console.log(location.href.substr(location.href.indexOf(location.host)+location.host.length), element["url"]); + filters = element["filters"]; + // console.log(element); + } + }); + + PLOT_FUNC_MAPPINGS[theIdSplit[theIdSplit.length - 1]](theId, filters); + } + }) + }) +}); + +function form_api_url(containerName, filters) { + // console.log(filters); + // console.log(containerName); + var name = containerName.split("/")[containerName.split("/").length - 1]; + var url = new URL(window.location.origin + "/api/" + name); + // for (const [filterName, value] of Object.entries(filters)) { + + // if (typeof value === 'object' && value !== null) { + // if ("default" in value) { + // // console.log(filterName, value["default"]); + // url.searchParams.append(filterName, value["default"]); + // } + // } + // } + console.log("fetching ", url.toString()); + return url.toString(); +} + +function draw_plot_years(containerName, filters) { + fetch(form_api_url(containerName, filters)).then(resp => { + resp.json().then((data) => { + if (containerName.substring(1, 6) === "chart") { + var yAxisTitle = true; + var xAxisLabels = true; + var showLegend = true; + } else { + var yAxisTitle = false; + var xAxisLabels = false; + var showLegend = false; + } + + Highcharts.chart(containerName, { + chart: { + zoomType: 'x', + type: 'area', + }, + + title: { + text: null + }, + + yAxis: { + title: { + enabled: yAxisTitle, + text: 'Percentage Pay Difference' + }, + labels: { + format: '{value}%' + }, + // tickPositioner: function () { + // // var maxDeviation = Math.ceil(Math.max(Math.abs(this.dataMax), Math.abs(this.dataMin))); + // // var halfMaxDeviation = Math.ceil(maxDeviation / 2); + + // // return [-maxDeviation, -halfMaxDeviation, 0, halfMaxDeviation, maxDeviation]; + // return Array.from({length: -Math.floor(this.dataMin) + 2}, (x, i) => i + Math.floor(this.dataMin)); + // }, + }, + + xAxis: { + type: 'category', + labels: { + enabled: xAxisLabels + }, + title: { + text: "Year Groups", + enabled: yAxisTitle, + } + }, + + plotOptions: { + series: { + fillColor: { + linearGradient: [0, 0, 0, 300], + stops: [ + [1, "rgba(0, 255, 0, 0.3)"] + ] + }, + negativeFillColor: { + linearGradient: [0, 0, 0, 300], + stops: [ + [1, "rgba(255, 0, 0, 0.3)"] + ] + } + } + }, + + series: [{ + data: data, + lineWidth: 4, + showInLegend: false, + name: "Pay Gap", + color: 'Green', + threshold: 0, + negativeColor: 'Red', + }] + }) + }) + }) +} + +function draw_plot_sic_sections(containerName, filters) { + fetch(form_api_url(containerName, filters)).then(resp => { + resp.json().then(data => { + if (containerName.substring(1, 6) === "chart") { + var yAxisTitle = true; + var xAxisLabels = true; + var showLegend = true; + } else { + var yAxisTitle = false; + var xAxisLabels = false; + var showLegend = false; + } + + var categories = []; + var pays = []; + data.forEach(elem => { + categories.push(elem[0]); + pays.push(elem[1]); + }); + + Highcharts.chart(containerName, { + chart: { + type: 'bar' + }, + + title: { + text: null + }, + + plotOptions: { + bar: { + dataLabels: { + align: "center" + } + } + }, + + xAxis: { + categories: categories, + labels: { + enabled: xAxisLabels + }, + title: { + text: 'SIC Section', + enabled: yAxisTitle + }, + type: 'category' + }, + + yAxis: { + title: { + text: 'Median Pay', + enabled: yAxisTitle + }, + labels: { + format: '{value}%' + }, + plotLines: [{ + value: 0, + width: 2, + color: 'black', + zIndex: 10 + }] + }, + + series: [{ + data: pays, + showInLegend: false, + negativeColor: 'Red', + color: 'Green', + name: 'Pay Gap' + }] + }) + }) + }) +} + +function draw_heatmap(containerName, filters) { + fetch(form_api_url(containerName, filters)).then(resp => { + + const isPreview = (containerName.substring(1, 6) === "chart"); + + resp.json().then(data => { + + var data2 = []; + data.forEach(row => { + data2.push([row[0], row[2]]); + }); + console.log(data2); + + $.getJSON("/static/ukcounties.json", function(geojson) { + + console.log(geojson); + + Highcharts.mapChart(containerName, { + chart: { + map: geojson + }, + + title: { + text: null + }, + + accessibility: { + typeDescription: 'Map of the United Kingdom.' + }, + + mapNavigation: { + enabled: isPreview, + buttonOptions: { + verticalAlign: 'bottom' + } + }, + + legend: { + enabled: isPreview, + layout: 'vertical', + align: 'right', + verticalAlign: 'middle', + itemMarginTop: 10, + itemMarginBottom: 10 + }, + + colorAxis: { + stops: [ + [0, '#c4463a'], + [0.5, '#e6ffee'], + [0.9, '#009933'] + ], + min: -15 + }, + + series: [{ + data: data2, + keys: ['name', 'value'], + joinBy: 'name', + name: 'Pay Gap', + color: 'Green', + tooltip: { + valueSuffix: '%' + } + }] + }); + }); + }); + }) +}
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\ No newline at end of file diff --git a/src/templates/index.html.j2 b/src/templates/index.html.j2 new file mode 100644 index 0000000..68f9837 --- /dev/null +++ b/src/templates/index.html.j2 @@ -0,0 +1,16 @@ +{% extends "template.html.j2" %} +{% block content %} + <div id="multicharts"> + <ul> + {% for elem in charts %} + <li> + <figure class="chart_container"> + <div class="minichart" id="/minichart{{ elem['url'] }}"> + </div> + </figure> + <a class="bottom_text" href="{{ elem['url'] }}">{{ elem['title'] }}</a> + </li> + {% endfor %} + </ul> + </div> +{% endblock %}
\ No newline at end of file diff --git a/src/templates/plot.html.j2 b/src/templates/plot.html.j2 new file mode 100644 index 0000000..56f5e87 --- /dev/null +++ b/src/templates/plot.html.j2 @@ -0,0 +1,8 @@ +{% extends "template.html.j2" %} +{% block content %} + <figure id="singlechart" class="highcharts-figure"> + <div class="chart" id="/chart{{ elem['url'] }}"> + </div> + <p id=chart_alt class="highcharts-description">{{ alt }}</p> + </figure> +{% endblock %}
\ No newline at end of file diff --git a/src/templates/search.html.j2 b/src/templates/search.html.j2 new file mode 100644 index 0000000..4de432c --- /dev/null +++ b/src/templates/search.html.j2 @@ -0,0 +1,16 @@ +{% extends "template.html.j2" %} +{% block content %} + <div id="search"> + {% if companies == [] %} + <a>There were no results for that search. Please refine your search.</a> + {% else %} + <ul> + {% for name, id_ in companies %} + <li> + <a href="{{ '/company/%s' % id_ }}">{{ name }}</a> + </li> + {% endfor %} + </ul> + {% endif %} + </div> +{% endblock %}
\ No newline at end of file diff --git a/src/templates/template.html.j2 b/src/templates/template.html.j2 new file mode 100644 index 0000000..02da03a --- /dev/null +++ b/src/templates/template.html.j2 @@ -0,0 +1,95 @@ +<!DOCTYPE HTML> +<html> +<head> + <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> + <title>UK Gender Pay Gap :: {{ title }}</title> + <!-- JQuery and JQurty UI current version --> + <script src='https://code.jquery.com/jquery-3.6.0.js'></script> + <script src="https://code.jquery.com/ui/1.13.1/jquery-ui.js"></script> + + <!-- Highcharts libraries --> + <script type="text/javascript" src="https://code.highcharts.com/highcharts.js"></script> + <script type="text/javascript" src="https://code.highcharts.com/highcharts-more.js"></script> + <script type="text/javascript" src="https://code.highcharts.com/modules/exporting.js"></script> + <script type="text/javascript" src="https://code.highcharts.com/modules/export-data.js"></script> + <script type="text/javascript" src="https://code.highcharts.com/modules/accessibility.js"></script> + + <script type="text/javascript" src="https://code.highcharts.com/maps/modules/map.js"></script> + <script type="text/javascript" src="https://code.highcharts.com/mapdata/custom/world-robinson.js"></script> + + <!-- local Javascript files --> + <script type="text/javascript" src="{{ url_for('static', filename='scripts.js') }}"></script> + <!-- remote and local CSS stylesheet --> + <link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}"> +</head> + +<body> + <header> + <a href="/"><h1>{{ title }}</h1></a> + <p>Data provided by the <a href="https://gender-pay-gap.service.gov.uk/">UK Government</a> and the <a href="https://www.ons.gov.uk/aboutus/transparencyandgovernance/freedomofinformationfoi/ukpostcodestownsandcounties">Office for National Statistics</a></p> + </header> + + <aside> + <form id="searchform" action="/search_click" method="POST"> + <input type="search" id="search_entry" name="search" required> + <input type="submit" value="Search" id="search_btn"> + </form> + {% if filters is defined %} + <h4>Filters</h4> + <form id="filterform" method="POST"> + {% for filter_name, filter_content in filters.items() %} + <h5>{{ filter_name }}</h5> + {% if len(filter_content["options"]) > 5 %} + <a class="collapsetoggle" id="collapsetoggle/{{ filter_name }}" onclick="collapseTogglePress('collapsable/{{ filter_name }}', 'collapsetoggle/{{ filter_name }}', {{ len(filter_content['options']) }})" href="javascript:void(0);"> + {{ "Un-hide %d hidden filters" % len(filter_content["options"]) }} + </a> + <div class="collapsable" id="collapsable/{{ filter_name }}"> + {% endif %} + {% if "yearslider" in filter_content.keys() %} + {% if "year" in current_filters.keys() %} + <p id="slider_val">Year range: {{ current_filters["year"] }}</p> + <input type="range" min="1" max="{{ len(filter_content['yearslider']) }}" value="{{ filter_content['yearslider'].index(current_filters['year']) + 1 }}" name="yearslider" id="yearslider"><br> + <input type="checkbox" id="allyears" name="allyears" value="allyears"> + <label for="allyears">All years</label><br> + {% else %} + <p id="slider_val">Year range: {{ filter_content['yearslider'][0] }}</p> + <input type="range" min="1" max="{{ len(filter_content['yearslider']) }}" value="1" name="yearslider" id="yearslider"><br> + <input type="checkbox" id="allyears" name="allyears" value="allyears" checked="checked"> + <label for="allyears">All years</label><br> + {% endif %} + {% else %} + {% for option in filter_content["options"] %} + {% if filter_name in current_filters.keys() %} + {% if current_filters[filter_name] == option %} + <input type="radio" id="{{ option }}" name="{{ filter_name }}" value = "{{ option }}" checked="checked"> + {% else %} + <input type="radio" id="{{ option }}" name="{{ filter_name }}" value = "{{ option }}"> + {% endif %} + {% else %} + <input type="radio" id="{{ option }}" name="{{ filter_name }}" value = "{{ option }}"> + {% endif %} + <label for="{{ option }}">{{ option }}</label><br> + {% endfor %} + {% if len(filter_content["default"]) < 2 %} + <input type="radio" id="No filter" name="{{ filter_name }}" value = "No filter"> + <label for="No filter">No filter</label><br> + {% endif %} + {% if len(filter_content["options"]) > 5 %} + </div> + {% endif %} + {% endif %} + {% endfor %} + <input type="submit" value="Apply" id="apply_btn"> + </form> + {% endif %} + </aside> + + <div id="main_content"> + {% block content %} + {% endblock %} + </div> + + <footer> + <p><a href="https://github.com/jwansek/UKGenderPayGap">Source code</a> released under GPLv3</p> + </footer> +</body>
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