From 1fa8cc5b0beb2ee08723b50c3d50205246f42450 Mon Sep 17 00:00:00 2001 From: YashSax Date: Sat, 14 Oct 2023 22:46:38 -0500 Subject: [PATCH 1/2] All Test Cases Passing --- python/rest_api.py | 0 python/simple_data_tool.py | 217 +++++++++++++++++++++++++++++++------ 2 files changed, 185 insertions(+), 32 deletions(-) create mode 100644 python/rest_api.py diff --git a/python/rest_api.py b/python/rest_api.py new file mode 100644 index 0000000..e69de29 diff --git a/python/simple_data_tool.py b/python/simple_data_tool.py index 5391073..3820a51 100644 --- a/python/simple_data_tool.py +++ b/python/simple_data_tool.py @@ -4,35 +4,33 @@ from statistics import mean - class SimpleDataTool: - - AGENTS_FILEPATH = 'data/sfcc_2023_agents.json' - CLAIM_HANDLERS_FILEPATH = 'data/sfcc_2023_claim_handlers.json' - CLAIMS_FILEPATH = 'data/sfcc_2023_claims.json' - DISASTERS_FILEPATH = 'data/sfcc_2023_disasters.json' + AGENTS_FILEPATH = "../round 1/sfcc_2023_agents.json" + CLAIM_HANDLERS_FILEPATH = "../round 1/sfcc_2023_claim_handlers.json" + CLAIMS_FILEPATH = "../round 1/sfcc_2023_claims.json" + DISASTERS_FILEPATH = "../round 1/sfcc_2023_disasters.json" REGION_MAP = { - 'west': 'Alaska,Hawaii,Washington,Oregon,California,Montana,Idaho,Wyoming,Nevada,Utah,Colorado,Arizona,New Mexico', - 'midwest': 'North Dakota,South Dakota,Minnesota,Wisconsin,Michigan,Nebraska,Iowa,Illinois,Indiana,Ohio,Missouri,Kansas', - 'south': 'Oklahoma,Texas,Arkansas,Louisiana,Kentucky,Tennessee,Mississippi,Alabama,West Virginia,Virginia,North Carolina,South Carolina,Georgia,Florida', - 'northeast': 'Maryland,Delaware,District of Columbia,Pennsylvania,New York,New Jersey,Connecticut,Massachusetts,Vermont,New Hampshire,Rhode Island,Maine' + "west": "Alaska,Hawaii,Washington,Oregon,California,Montana,Idaho,Wyoming,Nevada,Utah,Colorado,Arizona,New Mexico", + "midwest": "North Dakota,South Dakota,Minnesota,Wisconsin,Michigan,Nebraska,Iowa,Illinois,Indiana,Ohio,Missouri,Kansas", + "south": "Oklahoma,Texas,Arkansas,Louisiana,Kentucky,Tennessee,Mississippi,Alabama,West Virginia,Virginia,North Carolina,South Carolina,Georgia,Florida", + "northeast": "Maryland,Delaware,District of Columbia,Pennsylvania,New York,New Jersey,Connecticut,Massachusetts,Vermont,New Hampshire,Rhode Island,Maine", } def __init__(self): self.__agent_data = self.load_json_from_file(self.AGENTS_FILEPATH) self.__claim_handler_data = self.load_json_from_file( - self.CLAIM_HANDLERS_FILEPATH) + self.CLAIM_HANDLERS_FILEPATH + ) self.__claim_data = self.load_json_from_file(self.CLAIMS_FILEPATH) - self.__disaster_data = self.load_json_from_file( - self.DISASTERS_FILEPATH) + self.__disaster_data = self.load_json_from_file(self.DISASTERS_FILEPATH) # Helper Methods def load_json_from_file(self, filename): data = None - with open(filename, 'r', encoding='utf-8') as file: + with open(filename, "r", encoding="utf-8") as file: data = json.load(file) return data @@ -59,7 +57,7 @@ def get_num_closed_claims(self): Returns: int: number of closed claims """ - pass + return sum([claim["status"] == "Closed" for claim in self.__claim_data]) def get_num_claims_for_claim_handler_id(self, claim_handler_id): """Calculates the number of claims assigned to a specific claim handler @@ -70,7 +68,12 @@ def get_num_claims_for_claim_handler_id(self, claim_handler_id): Returns: int: number of claims assigned to claim handler """ - pass + return sum( + [ + claim["claim_handler_assigned_id"] == claim_handler_id + for claim in self.__claim_data + ] + ) def get_num_disasters_for_state(self, state): """Calculates the number of disasters for a specific state @@ -82,7 +85,7 @@ def get_num_disasters_for_state(self, state): Returns: int: number of disasters for state """ - pass + return sum([disaster["state"] == state for disaster in self.__disaster_data]) # endregion @@ -98,8 +101,16 @@ def get_total_claim_cost_for_disaster(self, disaster_id): float | None: estimate cost of disaster, rounded to the nearest hundredths place returns None if no claims are found """ + if not any(claim["disaster_id"] == disaster_id for claim in self.__claim_data): + return None - pass + return sum( + [ + claim["estimate_cost"] + for claim in self.__claim_data + if claim["disaster_id"] == disaster_id + ] + ) def get_average_claim_cost_for_claim_handler(self, claim_handler_id): """Gets the average estimated cost of all claims assigned to a claim handler @@ -111,8 +122,45 @@ def get_average_claim_cost_for_claim_handler(self, claim_handler_id): float | None : average cost of claims, rounded to the nearest hundredths place or None if no claims are found """ + if not any( + claim["claim_handler_assigned_id"] == claim_handler_id + for claim in self.__claim_data + ): + return None + + average_cost = mean( + claim["estimate_cost"] + for claim in self.__claim_data + if claim["claim_handler_assigned_id"] == claim_handler_id + ) + return round(average_cost, 2) + + def _dict_argmax(self, d): + max_key = None + max_value = -1e99 + + for key, val in d.items(): + if val > max_value: + max_value = val + max_key = key + elif val == max_value: + max_key = min(max_key, key) + return max_key + + def _dict_argmin(self, d): + min_key = None + min_value = 1e99 - pass + for key, val in d.items(): + if val < min_value: + min_value = val + min_key = key + elif val == min_value: + min_key = min(min_key, key) + return min_key + + def val_in_range(val, start, stop): + return val > start and val < stop def get_state_with_most_disasters(self): """Returns the name of the state with the most disasters based on disaster data @@ -122,12 +170,17 @@ def get_state_with_most_disasters(self): Example: Say New Jersey and Delaware both have the highest number of disasters at 12 disasters each. Then, this method would return "Delaware" since "D" - comes before "N" in the alphabet. + comes before "N" in the alphabet. Returns: string: single name of state """ - pass + num_disasters = {} + for disaster in self.__disaster_data: + state = disaster["state"] + num_disasters[state] = num_disasters.get(state, 0) + 1 + + return self._dict_argmax(num_disasters) def get_state_with_least_disasters(self): """Returns the name of the state with the least disasters based on disaster data @@ -137,13 +190,18 @@ def get_state_with_least_disasters(self): Example: Say New Mexico and West Virginia both have the least number of disasters at 1 disaster each. Then, this method would return "New Mexico" since "N" - comes before "W" in the alphabet. + comes before "W" in the alphabet. Returns: string: single name of state """ - pass - + num_disasters = {} + for disaster in self.__disaster_data: + state = disaster["state"] + num_disasters[state] = num_disasters.get(state, 0) + 1 + + return self._dict_argmin(num_disasters) + def get_most_spoken_agent_language_by_state(self, state): """Returns the name of the most spoken language by agents (besides English) for a specific state @@ -154,13 +212,32 @@ def get_most_spoken_agent_language_by_state(self, state): string: name of language or empty string if state doesn't exist """ - pass + if not any(agent["state"] == state for agent in self.__agent_data): + return "" + + language_counts = {} + for agent in self.__agent_data: + if agent["state"] != state: + continue + + primary_language = agent["primary_language"] + secondary_language = agent["secondary_language"] + + language_counts[primary_language] = language_counts.get(primary_language, 0) + 1 + language_counts[secondary_language] = language_counts.get(secondary_language, 0) + 1 - def get_num_of_open_claims_for_agent_and_severity(self, agent_id, min_severity_rating): + if "English" in language_counts: + del language_counts["English"] + + return self._dict_argmax(language_counts) + + def get_num_of_open_claims_for_agent_and_severity( + self, agent_id, min_severity_rating + ): """Returns the number of open claims for a specific agent and for a minimum severity level and higher Note: Severity rating scale for claims is 1 to 10, inclusive. - + Args: agent_id (int): ID of the agent min_severity_rating (int): minimum claim severity rating @@ -170,12 +247,35 @@ def get_num_of_open_claims_for_agent_and_severity(self, agent_id, min_severity_r -1 if severity rating out of bounds None if agent does not exist, or agent has no claims (open or not) """ + if min_severity_rating < 1 or min_severity_rating > 10: + return -1 + if not any(claim["agent_assigned_id"] == agent_id for claim in self.__claim_data): + return None + + num_valid = 0 + for claim in self.__claim_data: + if claim["agent_assigned_id"] != agent_id: + continue + num_valid += claim["severity_rating"] >= min_severity_rating and claim["status"] != "Closed" - pass + return num_valid # endregion # region TestSetThree + def compare_dates(self, date1, date2): + ''' + Returns 1 if date1 occurs later than date2, 0 if they're the same, and -1 otherwise + ''' + y1, m1, d1 = date1.split("-") + y2, m2, d2 = date2.split("-") + + if y1 == y2 and m1 == m2 and d1 == d2: + return 0 + + date_int1 = int(y1 + m1 + d1) + date_int2 = int(y2 + m2 + d2) + return [-1, 1][date_int1 < date_int2] def get_num_disasters_declared_after_end_date(self): """Gets the number of disasters where it was declared after it ended @@ -183,8 +283,8 @@ def get_num_disasters_declared_after_end_date(self): Returns: int: number of disasters where the declared date is after the end date """ + return sum([self.compare_dates(claim["end_date"], claim["declared_date"]) == 1 for claim in self.__disaster_data]) - pass def build_map_of_agents_to_total_claim_cost(self): """Builds a map of agent and their total claim cost @@ -197,8 +297,23 @@ def build_map_of_agents_to_total_claim_cost(self): Returns: dict: key is agent id, value is total cost of claims associated to the agent """ + agent_total_claims = {} + for claim in self.__claim_data: + agent = claim["agent_assigned_id"] + cost = claim["estimate_cost"] + agent_total_claims[agent] = round(agent_total_claims.get(agent, 0) + cost, 2) + + # Fill in valid agent's counts with 0 + for agent in self.__agent_data: + agent_id = agent["id"] + agent_total_claims[agent_id] = agent_total_claims.get(agent_id, 0) + + return agent_total_claims - pass + def _get_disaster(self, id): + for disaster in self.__disaster_data: + if disaster["id"] == id: + return disaster def calculate_disaster_claim_density(self, disaster_id): """Calculates density of a diaster based on the number of claims and impact radius @@ -214,7 +329,16 @@ def calculate_disaster_claim_density(self, disaster_id): float: density of claims to disaster area, rounded to the nearest thousandths place None if disaster does not exist """ - pass + if disaster_id < 1 or disaster_id >= len(self.__disaster_data): + return None + + num_disasters = sum([claim["disaster_id"] == disaster_id for claim in self.__claim_data]) + + + disaster_info = self._get_disaster(disaster_id) + disaster_area = math.pi * disaster_info["radius_miles"] ** 2 + + return round(num_disasters / disaster_area, 5) # endregion @@ -234,7 +358,36 @@ def get_top_three_months_with_highest_num_of_claims_desc(self): Returns: list: three strings of month and year, descending order of highest claims """ + month_dict = { + 1 : "January", + 2 : "February", + 3 : "March", + 4 : "April", + 5 : "May", + 6 : "June", + 7 : "July", + 8 : "August", + 9 : "September", + 10 : "October", + 11 : "November", + 12 : "December" + } + + date_total_claim = {} + for claim in self.__claim_data: + disaster_id = claim["disaster_id"] + disaster = self._get_disaster(disaster_id) + year, month, _ = disaster["declared_date"].split("-") + key = f"{month_dict.get(int(month))} {year}" + date_total_claim[key] = date_total_claim.get(key, 0) + 1 + + top_three = [] + for _ in range(3): + largest_key = self._dict_argmax(date_total_claim) + top_three.append(largest_key) + del date_total_claim[largest_key] + + return top_three - pass # endregion From fb9113c9dcb73f503ad79f10f475d06831cf7b03 Mon Sep 17 00:00:00 2001 From: YashSax Date: Sat, 14 Oct 2023 23:48:58 -0500 Subject: [PATCH 2/2] Final submission --- FEEDBACK.md | 14 +- python/cb_2014_us_state_20m.shp | Bin 0 -> 446116 bytes python/data_analysis.ipynb | 410 ++++++++++++++++++++++++++++++++ python/rest_api.py | 0 python/simple_data_tool.py | 85 ++++--- 5 files changed, 468 insertions(+), 41 deletions(-) create mode 100644 python/cb_2014_us_state_20m.shp create mode 100644 python/data_analysis.ipynb delete mode 100644 python/rest_api.py diff --git a/FEEDBACK.md b/FEEDBACK.md index 010fecd..df9284c 100644 --- a/FEEDBACK.md +++ b/FEEDBACK.md @@ -1,13 +1,15 @@ # Feedback -1. Your team: -2. Name of each individual participating: -3. How many unit tests were you able to pass? +1. Your team: Rust in Peace +2. Name of each individual participating: Yash Saxena, Zachary Voltz +3. How many unit tests were you able to pass? All 12 4. Document and describe any enhancements included to help the judges properly grade your submission. - - Example One - - Example Two - - Example Three + - In addition to the test cases, we did a little bit of data analysis to answer questions such as: + - What is the distribution of disasters across America? + - What kinds of disasters cause the most financial damage in total? + - On average, what kind of disasters cause the most financial damage? 5. Any feedback for the coding competition? Things you would like to see in future events? +Nope! This form can also be emailed to [codingcompetition@statefarm.com](mailto:codingcompetition@statefarm.com). 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"CLAIMS_FILEPATH = \"../round 1/sfcc_2023_claims.json\"\n", + "DISASTERS_FILEPATH = \"../round 1/sfcc_2023_disasters.json\"\n", + "\n", + "def load_json_from_file(filename):\n", + " data = None\n", + "\n", + " with open(filename, \"r\", encoding=\"utf-8\") as file:\n", + " data = json.load(file)\n", + "\n", + " return data\n", + "\n", + "agent_data = load_json_from_file(AGENTS_FILEPATH)\n", + "claim_handler_data = load_json_from_file(CLAIM_HANDLERS_FILEPATH)\n", + "claim_data = load_json_from_file(CLAIMS_FILEPATH)\n", + "disaster_data = load_json_from_file(DISASTERS_FILEPATH)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from shapely.geometry import Point\n", + "import geopandas as gpd\n", + "from geopandas import GeoDataFrame\n", + "import matplotlib.pyplot as plt\n", + "import geodatasets" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### What is the distribution of disasters across America?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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idtypestatenamedescriptionstart_dateend_datedeclared_datelatlongradius_miles
01FloodAlaskaAlaska FloodFusce consequat. Nulla nisl. Nunc nisl.\\n\\nDui...2023-06-132023-06-202023-06-1758.3271-134.4742168
12WildfireTexasTexas WildfireDuis consequat dui nec nisi volutpat eleifend....2023-04-112023-04-192023-04-1233.5693-101.8904235
23TornadoVirginiaVirginia TornadoNullam sit amet turpis elementum ligula vehicu...2023-04-292023-05-072023-05-0638.9776-77.3860273
34EarthquakeConnecticutConnecticut EarthquakeFusce consequat. Nulla nisl. Nunc nisl.2023-04-242023-05-092023-04-2841.3657-72.9275120
45Winter StormMissouriMissouri Winter StormSuspendisse potenti. In eleifend quam a odio. ...2023-03-112023-03-212023-03-1439.0663-94.5674155
\n", + "
" + ], + "text/plain": [ + " id type state name \\\n", + "0 1 Flood Alaska Alaska Flood \n", + "1 2 Wildfire Texas Texas Wildfire \n", + "2 3 Tornado Virginia Virginia Tornado \n", + "3 4 Earthquake Connecticut Connecticut Earthquake \n", + "4 5 Winter Storm Missouri Missouri Winter Storm \n", + "\n", + " description start_date end_date \\\n", + "0 Fusce consequat. Nulla nisl. Nunc nisl.\\n\\nDui... 2023-06-13 2023-06-20 \n", + "1 Duis consequat dui nec nisi volutpat eleifend.... 2023-04-11 2023-04-19 \n", + "2 Nullam sit amet turpis elementum ligula vehicu... 2023-04-29 2023-05-07 \n", + "3 Fusce consequat. Nulla nisl. Nunc nisl. 2023-04-24 2023-05-09 \n", + "4 Suspendisse potenti. In eleifend quam a odio. ... 2023-03-11 2023-03-21 \n", + "\n", + " declared_date lat long radius_miles \n", + "0 2023-06-17 58.3271 -134.4742 168 \n", + "1 2023-04-12 33.5693 -101.8904 235 \n", + "2 2023-05-06 38.9776 -77.3860 273 \n", + "3 2023-04-28 41.3657 -72.9275 120 \n", + "4 2023-03-14 39.0663 -94.5674 155 " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame.from_records(disaster_data)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\yashs\\AppData\\Local\\Temp/ipykernel_12576/1480417075.py:4: FutureWarning: The geopandas.dataset module is deprecated and will be removed in GeoPandas 1.0. You can get the original 'naturalearth_lowres' data from https://www.naturalearthdata.com/downloads/110m-cultural-vectors/.\n", + " world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "geometry = [Point(coord) for coord in zip(df[\"long\"], df[\"lat\"])]\n", + "gdf = GeoDataFrame(df, geometry=geometry)\n", + "\n", + "world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n", + "gdf.plot(ax=world.plot(figsize=(20, 12)), marker='o', color='red', markersize=15);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, disasters are concentrated on the East Coast of the United States." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### What types of disasters cause the most damage?" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "def get_disaster(id):\n", + " for disaster in disaster_data:\n", + " if disaster[\"id\"] == id:\n", + " return disaster" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "disaster_costs = {}\n", + "for claim in claim_data:\n", + " disaster_id = claim[\"disaster_id\"]\n", + " disaster_type = get_disaster(disaster_id)[\"type\"]\n", + " disaster_costs[disaster_type] = disaster_costs.get(disaster_type, 0) + claim[\"estimate_cost\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "disaster_costs = {k: v for k, v in sorted(disaster_costs.items(), key=lambda item: -item[1])}" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"axes.formatter.limits\"] = (-99, 99)\n", + "plt.title(\"Total Amount of Financial Damages\")\n", + "plt.xlabel(\"Type of Disaster\")\n", + "plt.ylabel(\"Damages (USD)\")\n", + "plt.xticks(range(len(disaster_costs)), disaster_costs.keys(), rotation='vertical')\n", + "plt.bar(disaster_costs.keys(), disaster_costs.values())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In terms of total cost, floods cause the most financial damage, while hurricanes cause the least." + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "disaster_counts = {}\n", + "for disaster in disaster_data:\n", + " disaster_type = disaster[\"type\"]\n", + " disaster_counts[disaster_type] = disaster_counts.get(disaster_type, 0) + 1\n", + "\n", + "normalized_costs = {k : v / disaster_counts[k] for k, v in disaster_costs.items()}\n", + "normalized_costs = {k: v for k, v in sorted(normalized_costs.items(), key=lambda item: -item[1])}" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"axes.formatter.limits\"] = (-99, 99)\n", + "plt.title(\"Average Financial Damages by Disaster Type\")\n", + "plt.xlabel(\"Type of Disaster\")\n", + "plt.ylabel(\"Damages (USD)\")\n", + "plt.xticks(range(len(normalized_costs)), normalized_costs.keys(), rotation='vertical')\n", + "plt.bar(normalized_costs.keys(), normalized_costs.values())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If we instead take the average financial cost instead of the total, an interesting phenomena emerges: some types of disasters like Floods or Hurricanes stay at their positions at the top and bottom respectively. For example, while the average Wildfire can be contained, we can see ones of incredible magnitudes like Hawaii or California. On the other hand, tornadoes occur quite frequently and cause a decent amount of financial damage." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/python/rest_api.py b/python/rest_api.py deleted file mode 100644 index e69de29..0000000 diff --git a/python/simple_data_tool.py b/python/simple_data_tool.py index 3820a51..288da7b 100644 --- a/python/simple_data_tool.py +++ b/python/simple_data_tool.py @@ -146,7 +146,7 @@ def _dict_argmax(self, d): elif val == max_value: max_key = min(max_key, key) return max_key - + def _dict_argmin(self, d): min_key = None min_value = 1e99 @@ -179,7 +179,7 @@ def get_state_with_most_disasters(self): for disaster in self.__disaster_data: state = disaster["state"] num_disasters[state] = num_disasters.get(state, 0) + 1 - + return self._dict_argmax(num_disasters) def get_state_with_least_disasters(self): @@ -199,7 +199,7 @@ def get_state_with_least_disasters(self): for disaster in self.__disaster_data: state = disaster["state"] num_disasters[state] = num_disasters.get(state, 0) + 1 - + return self._dict_argmin(num_disasters) def get_most_spoken_agent_language_by_state(self, state): @@ -223,12 +223,16 @@ def get_most_spoken_agent_language_by_state(self, state): primary_language = agent["primary_language"] secondary_language = agent["secondary_language"] - language_counts[primary_language] = language_counts.get(primary_language, 0) + 1 - language_counts[secondary_language] = language_counts.get(secondary_language, 0) + 1 + language_counts[primary_language] = ( + language_counts.get(primary_language, 0) + 1 + ) + language_counts[secondary_language] = ( + language_counts.get(secondary_language, 0) + 1 + ) if "English" in language_counts: del language_counts["English"] - + return self._dict_argmax(language_counts) def get_num_of_open_claims_for_agent_and_severity( @@ -249,14 +253,19 @@ def get_num_of_open_claims_for_agent_and_severity( """ if min_severity_rating < 1 or min_severity_rating > 10: return -1 - if not any(claim["agent_assigned_id"] == agent_id for claim in self.__claim_data): + if not any( + claim["agent_assigned_id"] == agent_id for claim in self.__claim_data + ): return None - + num_valid = 0 for claim in self.__claim_data: if claim["agent_assigned_id"] != agent_id: continue - num_valid += claim["severity_rating"] >= min_severity_rating and claim["status"] != "Closed" + num_valid += ( + claim["severity_rating"] >= min_severity_rating + and claim["status"] != "Closed" + ) return num_valid @@ -264,15 +273,15 @@ def get_num_of_open_claims_for_agent_and_severity( # region TestSetThree def compare_dates(self, date1, date2): - ''' + """ Returns 1 if date1 occurs later than date2, 0 if they're the same, and -1 otherwise - ''' + """ y1, m1, d1 = date1.split("-") y2, m2, d2 = date2.split("-") if y1 == y2 and m1 == m2 and d1 == d2: return 0 - + date_int1 = int(y1 + m1 + d1) date_int2 = int(y2 + m2 + d2) return [-1, 1][date_int1 < date_int2] @@ -283,8 +292,12 @@ def get_num_disasters_declared_after_end_date(self): Returns: int: number of disasters where the declared date is after the end date """ - return sum([self.compare_dates(claim["end_date"], claim["declared_date"]) == 1 for claim in self.__disaster_data]) - + return sum( + [ + self.compare_dates(claim["end_date"], claim["declared_date"]) == 1 + for claim in self.__disaster_data + ] + ) def build_map_of_agents_to_total_claim_cost(self): """Builds a map of agent and their total claim cost @@ -301,13 +314,15 @@ def build_map_of_agents_to_total_claim_cost(self): for claim in self.__claim_data: agent = claim["agent_assigned_id"] cost = claim["estimate_cost"] - agent_total_claims[agent] = round(agent_total_claims.get(agent, 0) + cost, 2) - + agent_total_claims[agent] = round( + agent_total_claims.get(agent, 0) + cost, 2 + ) + # Fill in valid agent's counts with 0 for agent in self.__agent_data: agent_id = agent["id"] agent_total_claims[agent_id] = agent_total_claims.get(agent_id, 0) - + return agent_total_claims def _get_disaster(self, id): @@ -331,13 +346,14 @@ def calculate_disaster_claim_density(self, disaster_id): """ if disaster_id < 1 or disaster_id >= len(self.__disaster_data): return None - - num_disasters = sum([claim["disaster_id"] == disaster_id for claim in self.__claim_data]) - + + num_disasters = sum( + [claim["disaster_id"] == disaster_id for claim in self.__claim_data] + ) disaster_info = self._get_disaster(disaster_id) disaster_area = math.pi * disaster_info["radius_miles"] ** 2 - + return round(num_disasters / disaster_area, 5) # endregion @@ -359,18 +375,18 @@ def get_top_three_months_with_highest_num_of_claims_desc(self): list: three strings of month and year, descending order of highest claims """ month_dict = { - 1 : "January", - 2 : "February", - 3 : "March", - 4 : "April", - 5 : "May", - 6 : "June", - 7 : "July", - 8 : "August", - 9 : "September", - 10 : "October", - 11 : "November", - 12 : "December" + 1: "January", + 2: "February", + 3: "March", + 4: "April", + 5: "May", + 6: "June", + 7: "July", + 8: "August", + 9: "September", + 10: "October", + 11: "November", + 12: "December", } date_total_claim = {} @@ -387,7 +403,6 @@ def get_top_three_months_with_highest_num_of_claims_desc(self): top_three.append(largest_key) del date_total_claim[largest_key] - return top_three - + return top_three # endregion