def proportion_daily_country(data_type, country):
try:
data = util.read_json(f"csv_{data_type}.json")
ret = {"proportion-daily": {}}
for region in list(data.keys()):
if util.pattern_match(country, region, data[region]["iso2"],
data[region]["iso3"]):
if data[region]["iso3"] in util.populations:
pop = float(util.populations[data[region]["iso3"]])
else:
util.populations = util.csv_to_dict(util.CSV_POPULATIONS)
pop = float(util.populations[data[region]["iso3"]])
prev = 0
for d, h in data[region]["history"].items():
ret["proportion-daily"][
d] = f"{round((h - prev) / pop * 100, 10):.10f}"
prev = h
ret["iso2"] = data[region]["iso2"]
ret["iso3"] = data[region]["iso3"]
ret["name"] = region
return jsonify(ret)
raise CountryNotFound("This region cannot be found. Please try again.")
except CountryNotFound as e:
return util.response_error(message=f"{type(e).__name__} : {e}",
status=404)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def all_country(country):
try:
data = util.read_json("data.json")
for region in data:
if util.pattern_match(country, region["country"], region["iso2"],
region["iso3"]):
return jsonify(region)
raise CountryNotFound("This region cannot be found. Please try again.")
except CountryNotFound as e:
return util.response_error(message=f"{type(e).__name__} : {e}",
status=404)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def history_country(data_type, country):
try:
data = util.read_json(f"csv_{data_type}.json")
for region in list(data.keys()):
if util.pattern_match(country, region, data[region]["iso2"],
data[region]["iso3"]):
ret = data[region]
ret["name"] = region
return jsonify(ret)
raise CountryNotFound("This region cannot be found. Please try again.")
except CountryNotFound as e:
return util.response_error(message=f"{type(e).__name__} : {e}",
status=404)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def proportion_daily(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
for region in list(data.keys()):
ret = {"proportion-daily": {}}
if data[region]["iso3"] == "":
# TODO: Note, some regions do not have iso2/3 codes....
data[region] = {
"proportion-daily":
"This region doesn't work with this function atm"
}
continue
if data[region]["iso3"] in util.populations:
pop = float(util.populations[data[region]["iso3"]])
else:
util.populations = util.csv_to_dict(util.CSV_POPULATIONS)
pop = float(util.populations[data[region]["iso3"]])
prev = 0
for d, h in data[region]["history"].items():
ret["proportion-daily"][
d] = f"{round((h - prev) / pop * 100, 10):.10f}"
prev = int(h)
ret["iso2"] = data[region]["iso2"]
ret["iso3"] = data[region]["iso3"]
data[region] = ret
return jsonify(data)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def history_region_all(data_type, country):
try:
if country.lower() in ("us", "united states", "usa"):
data = util.read_json(f"csv_{data_type}_us_region.json")
else:
data = util.read_json(f"csv_{data_type}_region.json")
for inner_country in list(data.keys()):
if util.pattern_match(country, inner_country,
data[inner_country]["iso2"],
data[inner_country]["iso3"]):
return jsonify(data[inner_country]["regions"])
raise CountryNotFound(
"This country cannot be found. Please try again.")
except CountryNotFound as e:
return util.response_error(message=f"{type(e).__name__} : {e}",
status=404)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def history_region_world(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
ret = {"history": {}}
for d in data.keys():
for h in data[d]["history"].keys():
if h not in ret["history"]:
ret["history"][h] = int(data[d]["history"][h])
else:
ret["history"][h] += int(data[d]["history"][h])
return jsonify(ret)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def proportion_region_world(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
ret = {"proportion": {}}
for d in data.keys():
for h in data[d]["history"].keys():
if h not in ret["proportion"]:
ret["proportion"][h] = int(data[d]["history"][h])
else:
ret["proportion"][h] += int(data[d]["history"][h])
for h in ret["proportion"]:
ret["proportion"][
h] = f"{round(int(ret['proportion'][h]) / int(util.WORLD_POPULATION) * 100, 5):.5f}"
return jsonify(ret)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def daily(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
for region in list(data.keys()):
ret = {"daily": {}}
prev = 0
for d, h in data[region]["history"].items():
ret["daily"][d] = h - prev
prev = int(h)
ret["iso2"] = data[region]["iso2"]
ret["iso3"] = data[region]["iso3"]
data[region] = ret
return jsonify(data)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def proportion_daily_region_world(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
ret = {"proportion-daily": {}}
for d in data.keys():
for h in data[d]["history"].keys():
if h not in ret["proportion-daily"]:
ret["proportion-daily"][h] = int(data[d]["history"][h])
else:
ret["proportion-daily"][h] += int(data[d]["history"][h])
prev = 0
for d, h in ret["proportion-daily"].items():
ret["proportion-daily"][
d] = f"{round((h - prev) / int(util.WORLD_POPULATION) * 100, 10):.10f}"
prev = int(h)
return jsonify(ret)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def all_data():
try:
data = util.read_json("data.json")
return jsonify(data)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
def history(data_type):
try:
data = util.read_json(f"csv_{data_type}.json")
return jsonify(data)
except Exception as e:
return util.response_error(message=f"{type(e).__name__} : {e}")
