From 8ce89c7183aa420ad44fb69f52bf0b4103f3f877 Mon Sep 17 00:00:00 2001 From: linomp Date: Mon, 25 Dec 2023 11:16:48 -0500 Subject: [PATCH 1/7] implement temperature degradation --- ...game.conf => api.pdmgame.xmp.systems.conf} | 3 -- conf-backups/app.pdmgame.xmp.systems.conf | 26 +++++++++ mvp/server/analysis.py | 51 ++++++++++++++++-- mvp/server/constants.py | 2 +- mvp/server/data_models.py | 45 +++++++++++----- mvp/server/requirements.txt | Bin 2586 -> 2730 bytes mvp/server/tests/__init__.py | 0 mvp/server/tests/test_analysis.py | 15 ++++++ mvp/server/tests/test_data_models.py | 49 +++++++++++++++++ 9 files changed, 170 insertions(+), 21 deletions(-) rename conf-backups/{api.pdmgame.conf => api.pdmgame.xmp.systems.conf} (99%) create mode 100644 conf-backups/app.pdmgame.xmp.systems.conf create mode 100644 mvp/server/tests/__init__.py create mode 100644 mvp/server/tests/test_analysis.py create mode 100644 mvp/server/tests/test_data_models.py diff --git a/conf-backups/api.pdmgame.conf b/conf-backups/api.pdmgame.xmp.systems.conf similarity index 99% rename from conf-backups/api.pdmgame.conf rename to conf-backups/api.pdmgame.xmp.systems.conf index 5f46024..5311886 100644 --- a/conf-backups/api.pdmgame.conf +++ b/conf-backups/api.pdmgame.xmp.systems.conf @@ -14,7 +14,6 @@ server { ssl_certificate_key /etc/letsencrypt/live/api.pdmgame.xmp.systems/privkey.pem; # managed by Certbot include /etc/letsencrypt/options-ssl-nginx.conf; # managed by Certbot ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem; # managed by Certbot - } server { if ($host = api.pdmgame.xmp.systems) { @@ -25,6 +24,4 @@ server { listen 80; server_name api.pdmgame.xmp.systems; return 404; # managed by Certbot - - } \ No newline at end of file diff --git a/conf-backups/app.pdmgame.xmp.systems.conf b/conf-backups/app.pdmgame.xmp.systems.conf new file mode 100644 index 0000000..200123f --- /dev/null +++ b/conf-backups/app.pdmgame.xmp.systems.conf @@ -0,0 +1,26 @@ +server { + server_name app.pdmgame.xmp.systems; + + location / { + proxy_pass http://127.0.0.1:8000; # Change this to the address where your app is running + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + } + + listen 443 ssl; # managed by Certbot + ssl_certificate /etc/letsencrypt/live/app.pdmgame.xmp.systems/fullchain.pem; # managed by Certbot + ssl_certificate_key /etc/letsencrypt/live/app.pdmgame.xmp.systems/privkey.pem; # managed by Certbot + include /etc/letsencrypt/options-ssl-nginx.conf; # managed by Certbot + ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem; # managed by Certbot +} +server { + if ($host = app.pdmgame.xmp.systems) { + return 301 https://$host$request_uri; + } # managed by Certbot + + listen 80; + server_name app.pdmgame.xmp.systems; + return 404; # managed by Certbot +} \ No newline at end of file diff --git a/mvp/server/analysis.py b/mvp/server/analysis.py index 6bdaec6..5e10d12 100644 --- a/mvp/server/analysis.py +++ b/mvp/server/analysis.py @@ -1,14 +1,57 @@ import math +from mvp.server.constants import TIMESTEPS_PER_MOVE + + +def get_health_percentage(current_timestep: int) -> int: + health_decay_speed = compute_decay_speed(current_timestep) + raw_val = round(exponential_decay(current_timestep, start=100, decay_speed=health_decay_speed)) + return min(100, max(0, raw_val)) + def exponential_decay(t: int, start: int, decay_speed: float) -> float: return start - math.exp(t * decay_speed) -def get_health_percentage(current_step: int) -> int: - raw_val = round(exponential_decay(current_step, start=100, decay_speed=0.2)) - return min(100, max(0, raw_val)) +def compute_decay_speed(t: int) -> float: + # Made-up calculation involving operational parameters: temperature, oil age, mechanical wear + # - temperature grows linearly over the 8 hours of a shift (resets every 8 hours) + # - oil age grows monotonically, directly proportional to temperature and resets only after every maintenance routine + # - mechanical wear grows monotonically, directly proportional to oil age, for now it never resets (such that at some point, the machine will definitely break and game over) + + parameter_values = get_parameter_values(t) + + # TODO: calibrate these weights + computed = parameter_values["temperature"] * 0.01 + parameter_values["oil_age"] * 0.01 + parameter_values[ + "mechanical_wear"] * 0.01 + + # decay speed will always bet between 0.1 and 0.2 + return max(min(0.1, computed), 0.2) + + +def get_parameter_values(current_timestep: int) -> dict[str, float]: + return { + "temperature": get_machine_temperature(current_timestep), + "oil_age": get_oil_age(current_timestep), + "mechanical_wear": get_mechanical_wear(current_timestep) + } + + +def get_machine_temperature(t: int) -> float: + base_value = t % TIMESTEPS_PER_MOVE + noise = 0 + # TODO: add noise + # noise = max(min(0., np.random.normal(base_value, 10)), 10) + return base_value + noise + + +def get_oil_age(t: int) -> float: + return 0. + + +def get_mechanical_wear(t: int) -> float: + return 0. -def default_rul_prediction_fn(current_step: int) -> int | None: +def default_rul_prediction_fn(current_timestep: int) -> int | None: return None diff --git a/mvp/server/constants.py b/mvp/server/constants.py index 9369d6a..0a3359e 100644 --- a/mvp/server/constants.py +++ b/mvp/server/constants.py @@ -1,3 +1,3 @@ DEFAULT_SESSION_ID = 'test' GAME_TICK_INTERVAL = 0.5 -STEPS_PER_MOVE = 8 +TIMESTEPS_PER_MOVE = 8 # we conceptualize every player move as a full working day, or "8 hours" diff --git a/mvp/server/data_models.py b/mvp/server/data_models.py index f68cba9..8993f51 100644 --- a/mvp/server/data_models.py +++ b/mvp/server/data_models.py @@ -3,35 +3,52 @@ from pydantic import BaseModel -from mvp.server.analysis import get_health_percentage, default_rul_prediction_fn -from mvp.server.constants import STEPS_PER_MOVE +from mvp.server.analysis import get_health_percentage, default_rul_prediction_fn, get_parameter_values +from mvp.server.constants import TIMESTEPS_PER_MOVE + + +class OperationalParameters(BaseModel): + temperature: float + oil_age: float + mechanical_wear: float + + @staticmethod + def from_dict(json: dict[str, Any]): + return OperationalParameters( + temperature=json.get("temperature", 0), + oil_age=json.get("oil_age", 0), + mechanical_wear=json.get("mechanical_wear", 0) + ) class MachineStats(BaseModel): - rul: int | None = None + predicted_rul: int | None = None health_percentage: int + operational_parameters: OperationalParameters | None = None @staticmethod - def from_json(json: dict[str, Any]): - return MachineStats(rul=json.get("rul", None), health_percentage=json.get("health_percentage", 0)) + def from_dict(json: dict[str, Any]): + return MachineStats(predicted_rul=json.get("predicted_rul", None), + health_percentage=json.get("health_percentage", 0)) def is_broken(self) -> bool: if self.health_percentage <= 0: return True - if self.rul is not None and self.rul <= 0: + if self.predicted_rul is not None and self.predicted_rul <= 0: return True return False def __str__(self): - return f"MachineStats(rul={self.rul}, health_percentage={self.health_percentage})" + return f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage})" class GameSession(BaseModel): id: str current_step: int = 0 machine_stats: MachineStats | None = None + operational_parameters: OperationalParameters | None = None # This function can be updated in-game, to simulate a change in the model (an "upgrade" for the player) rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn @@ -41,14 +58,15 @@ def __init__(self, id: str, current_step: int = 0): # init player's machine self.machine_stats = MachineStats( - rul=None, - health_percentage=get_health_percentage(self.current_step) + predicted_rul=None, + health_percentage=get_health_percentage(self.current_step), + operational_parameters=OperationalParameters.from_dict(get_parameter_values(self.current_step)) ) async def advance_one_turn(self) -> list[MachineStats]: collected_machine_stats_during_turn = [] - for _ in range(STEPS_PER_MOVE): + for _ in range(TIMESTEPS_PER_MOVE): # collect stats collected_machine_stats_during_turn.append(self.machine_stats) @@ -67,7 +85,8 @@ async def advance_one_turn(self) -> list[MachineStats]: def _update_machine_stats(self): self.machine_stats.health_percentage = get_health_percentage(self.current_step) - self.machine_stats.rul = self.rul_predictor(self.current_step) + self.machine_stats.operational_parameters = get_parameter_values(self.current_step) + self.machine_stats.predicted_rul = self.rul_predictor(self.current_step) def _log(self, multiple=5): if self.current_step % multiple == 0: @@ -88,9 +107,9 @@ def from_session(session: 'GameSession'): ) @staticmethod - def from_json(json: dict[str, Any]): + def from_dict(json: dict[str, Any]): return GameSessionDTO( id=json.get("id", ""), current_step=json.get("current_step", 0), - machine_stats=MachineStats.from_json(json.get("machine_stats", {})) + machine_stats=MachineStats.from_dict(json.get("machine_stats", {})) ) diff --git a/mvp/server/requirements.txt b/mvp/server/requirements.txt index ee51abe350aa391d50eb1bab6f65ac8c6496f7a1..ae288272c2e1913a7e8598ff2bfe77ff820bfc75 100644 GIT binary patch delta 132 zcmbOwvPyIV6SHI 0 + game_session.machine_stats.health_percentage = 50 + game_session.machine_stats.predicted_rul = 10 + assert game_session.machine_stats.is_broken() is False From 654fff0c9b6b992357601b0c6342a8118b0561aa Mon Sep 17 00:00:00 2001 From: linomp Date: Mon, 25 Dec 2023 11:22:49 -0500 Subject: [PATCH 2/7] add github workflow files --- .github/workflows/PR_BE.yml | 29 +++++++++++++++++++++++++++++ .github/workflows/PR_FE.yml | 29 +++++++++++++++++++++++++++++ 2 files changed, 58 insertions(+) create mode 100644 .github/workflows/PR_BE.yml create mode 100644 .github/workflows/PR_FE.yml diff --git a/.github/workflows/PR_BE.yml b/.github/workflows/PR_BE.yml new file mode 100644 index 0000000..868a420 --- /dev/null +++ b/.github/workflows/PR_BE.yml @@ -0,0 +1,29 @@ +name: Python Tests + +on: + pull_request: + branches: + - main + +jobs: + test: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.11' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r mvp/server/requirements.txt + + - name: Run tests + run: | + cd mvp/server + python -m pytest tests/ diff --git a/.github/workflows/PR_FE.yml b/.github/workflows/PR_FE.yml new file mode 100644 index 0000000..d0fb959 --- /dev/null +++ b/.github/workflows/PR_FE.yml @@ -0,0 +1,29 @@ +name: Frontend Build + +on: + pull_request: + branches: + - main + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Set up Node.js + uses: actions/setup-node@v2 + with: + node-version: '16' # Replace with your Node.js version + + - name: Install dependencies + run: | + cd mvp/client + npm install + + - name: Build frontend + run: | + cd mvp/client + npm run build From 2e85ad09fd9e1db8333ab9ccb56184e564a851eb Mon Sep 17 00:00:00 2001 From: linomp Date: Mon, 25 Dec 2023 11:25:35 -0500 Subject: [PATCH 3/7] workflow files --- .github/workflows/PR_BE.yml | 2 +- .github/workflows/PR_FE.yml | 4 +--- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/.github/workflows/PR_BE.yml b/.github/workflows/PR_BE.yml index 868a420..878f3dc 100644 --- a/.github/workflows/PR_BE.yml +++ b/.github/workflows/PR_BE.yml @@ -1,4 +1,4 @@ -name: Python Tests +name: MVP Python Tests on: pull_request: diff --git a/.github/workflows/PR_FE.yml b/.github/workflows/PR_FE.yml index d0fb959..af4febf 100644 --- a/.github/workflows/PR_FE.yml +++ b/.github/workflows/PR_FE.yml @@ -1,4 +1,4 @@ -name: Frontend Build +name: MVP Frontend Build on: pull_request: @@ -15,8 +15,6 @@ jobs: - name: Set up Node.js uses: actions/setup-node@v2 - with: - node-version: '16' # Replace with your Node.js version - name: Install dependencies run: | From b58d51c4367af02cd54800448583500915d82fa8 Mon Sep 17 00:00:00 2001 From: linomp Date: Mon, 25 Dec 2023 12:39:07 -0500 Subject: [PATCH 4/7] update client & fix some issues (still work to do) --- mvp/client/src/generated/index.ts | 1 + .../src/generated/models/MachineStats.ts | 5 ++++- .../generated/models/OperationalParameters.ts | 10 +++++++++ .../src/generated/services/SessionsService.ts | 4 ++-- mvp/client/src/routes/+page.svelte | 20 ++++++++---------- mvp/server/analysis.py | 16 ++++++-------- mvp/server/data_models.py | 13 ++++++------ mvp/server/requirements.txt | Bin 2730 -> 1290 bytes mvp/server/tests/test_data_models.py | 2 +- 9 files changed, 40 insertions(+), 31 deletions(-) create mode 100644 mvp/client/src/generated/models/OperationalParameters.ts diff --git a/mvp/client/src/generated/index.ts b/mvp/client/src/generated/index.ts index 813cbf4..bd668b7 100644 --- a/mvp/client/src/generated/index.ts +++ b/mvp/client/src/generated/index.ts @@ -10,6 +10,7 @@ export type { OpenAPIConfig } from './core/OpenAPI'; export type { GameSessionDTO } from './models/GameSessionDTO'; export type { HTTPValidationError } from './models/HTTPValidationError'; export type { MachineStats } from './models/MachineStats'; +export type { OperationalParameters } from './models/OperationalParameters'; export type { ValidationError } from './models/ValidationError'; export { DefaultService } from './services/DefaultService'; diff --git a/mvp/client/src/generated/models/MachineStats.ts b/mvp/client/src/generated/models/MachineStats.ts index 95d4ad6..4f45bfd 100644 --- a/mvp/client/src/generated/models/MachineStats.ts +++ b/mvp/client/src/generated/models/MachineStats.ts @@ -3,7 +3,10 @@ /* tslint:disable */ /* eslint-disable */ +import type { OperationalParameters } from './OperationalParameters'; + export type MachineStats = { - rul?: (number | null); + predicted_rul?: (number | null); health_percentage: number; + operational_parameters?: (OperationalParameters | null); }; diff --git a/mvp/client/src/generated/models/OperationalParameters.ts b/mvp/client/src/generated/models/OperationalParameters.ts new file mode 100644 index 0000000..2ed81f6 --- /dev/null +++ b/mvp/client/src/generated/models/OperationalParameters.ts @@ -0,0 +1,10 @@ +/* generated using openapi-typescript-codegen -- do no edit */ +/* istanbul ignore file */ +/* tslint:disable */ +/* eslint-disable */ + +export type OperationalParameters = { + temperature: number; + oil_age: number; + mechanical_wear: number; +}; diff --git a/mvp/client/src/generated/services/SessionsService.ts b/mvp/client/src/generated/services/SessionsService.ts index 5dc6df9..43451ad 100644 --- a/mvp/client/src/generated/services/SessionsService.ts +++ b/mvp/client/src/generated/services/SessionsService.ts @@ -44,12 +44,12 @@ sessionId: string, } /** - * Advance Session Turn + * Advance * @param sessionId * @returns GameSessionDTO Successful Response * @throws ApiError */ - public static advanceSessionTurnSessionTurnsPut( + public static advanceSessionTurnsPut( sessionId: string, ): CancelablePromise { return __request(OpenAPI, { diff --git a/mvp/client/src/routes/+page.svelte b/mvp/client/src/routes/+page.svelte index 9d2e789..fd8fbe9 100644 --- a/mvp/client/src/routes/+page.svelte +++ b/mvp/client/src/routes/+page.svelte @@ -46,21 +46,19 @@ if (!gameSession || gameOver) { return; } + // TODO: migrate this polling strategy to a websocket connection + // start fetching machine health every second while the day is advancing + const intervalId = setInterval(fetchExistingSession, 700); + advanceButtonDisabled = true; try { - // start fetching machine health every second while the day is advancing - const intervalId = setInterval(fetchExistingSession, 700); - - advanceButtonDisabled = true; - gameSession = await SessionsService.advanceSessionTurnSessionTurnsPut(gameSession?.id); - advanceButtonDisabled = false; - - // stop fetching machine health until the player advances to next day again - clearInterval(intervalId); - - // TODO: migrate this polling strategy to a websocket connection + gameSession = await SessionsService.advanceSessionTurnsPut(gameSession?.id); } catch (error) { console.error('Error advancing day:', error); + } finally { + // stop fetching machine health until the player advances to next day again + clearInterval(intervalId); + advanceButtonDisabled = false; } }; diff --git a/mvp/server/analysis.py b/mvp/server/analysis.py index 5e10d12..1dfcbe9 100644 --- a/mvp/server/analysis.py +++ b/mvp/server/analysis.py @@ -3,14 +3,14 @@ from mvp.server.constants import TIMESTEPS_PER_MOVE -def get_health_percentage(current_timestep: int) -> int: +def get_health_percentage(current_timestep: int, initial_value=100) -> int: health_decay_speed = compute_decay_speed(current_timestep) - raw_val = round(exponential_decay(current_timestep, start=100, decay_speed=health_decay_speed)) + raw_val = round(exponential_decay(current_timestep, initial_value=initial_value, decay_speed=health_decay_speed)) return min(100, max(0, raw_val)) -def exponential_decay(t: int, start: int, decay_speed: float) -> float: - return start - math.exp(t * decay_speed) +def exponential_decay(t: int, initial_value: int, decay_speed: float) -> float: + return initial_value - math.exp(t * decay_speed) def compute_decay_speed(t: int) -> float: @@ -26,7 +26,7 @@ def compute_decay_speed(t: int) -> float: "mechanical_wear"] * 0.01 # decay speed will always bet between 0.1 and 0.2 - return max(min(0.1, computed), 0.2) + return min(computed / 3, 0.3) def get_parameter_values(current_timestep: int) -> dict[str, float]: @@ -38,11 +38,7 @@ def get_parameter_values(current_timestep: int) -> dict[str, float]: def get_machine_temperature(t: int) -> float: - base_value = t % TIMESTEPS_PER_MOVE - noise = 0 - # TODO: add noise - # noise = max(min(0., np.random.normal(base_value, 10)), 10) - return base_value + noise + return max(0, t - 1) % TIMESTEPS_PER_MOVE def get_oil_age(t: int) -> float: diff --git a/mvp/server/data_models.py b/mvp/server/data_models.py index 8993f51..79bff9b 100644 --- a/mvp/server/data_models.py +++ b/mvp/server/data_models.py @@ -13,7 +13,7 @@ class OperationalParameters(BaseModel): mechanical_wear: float @staticmethod - def from_dict(json: dict[str, Any]): + def from_dict(json: dict[str, float]) -> 'OperationalParameters': return OperationalParameters( temperature=json.get("temperature", 0), oil_age=json.get("oil_age", 0), @@ -41,14 +41,14 @@ def is_broken(self) -> bool: return False def __str__(self): - return f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage})" + return (f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage}), " + f"operational_parameters={self.operational_parameters})") class GameSession(BaseModel): id: str current_step: int = 0 machine_stats: MachineStats | None = None - operational_parameters: OperationalParameters | None = None # This function can be updated in-game, to simulate a change in the model (an "upgrade" for the player) rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn @@ -84,11 +84,12 @@ async def advance_one_turn(self) -> list[MachineStats]: return collected_machine_stats_during_turn def _update_machine_stats(self): - self.machine_stats.health_percentage = get_health_percentage(self.current_step) + self.machine_stats.health_percentage = get_health_percentage(self.current_step, + initial_value=self.machine_stats.health_percentage) self.machine_stats.operational_parameters = get_parameter_values(self.current_step) self.machine_stats.predicted_rul = self.rul_predictor(self.current_step) - def _log(self, multiple=5): + def _log(self, multiple=1): if self.current_step % multiple == 0: print(f"GameSession '{self.id}' - step: {self.current_step} - {self.machine_stats}") @@ -103,7 +104,7 @@ def from_session(session: 'GameSession'): return GameSessionDTO( id=session.id, current_step=session.current_step, - machine_stats=session.machine_stats + machine_stats=session.machine_stats, ) @staticmethod diff --git a/mvp/server/requirements.txt b/mvp/server/requirements.txt index ae288272c2e1913a7e8598ff2bfe77ff820bfc75..918b104ce6b5501b29f86428b6bb923779633c8c 100644 GIT binary patch literal 1290 zcmYLJO>f&U487~WSnx-Zt_L4>8ZfLtfSq$=OqRGd{$48TA za(Nv0y4S6u5F!)Xso`6)WgJ_5sNtK7<2dLC-6>+u_|gx$!>5yX;c5ZU;bW@|nTzEZ zJu>!s(7iG?vzr|XS}Eyt_n^#$a2TyL+Xbu+dFd|$8W$!TJ$l~LPBGw4{8b} z-S`p%z!2z_UC8<76%Z3~1V}HObc%&LHB(_qXx!?q-GTVo@pKx;9WuI3{cwD|gUKYj 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z{hoId%!)gU>E8?OAk=jrSOK}mMi%B^boUP9u7>I4?s9f!fkK(=RyjFaWAO}=c^c*X z;nBn_hWxv-YelW~p;z$1^?Wk^TJ+PDE&lL`_Q3czJOt3ZNu8I9ZMI_A|1pJ!e?rwqO@A2Q1|9l={|6J@4h+C}X}g$mxyUNAtd{ zf?Kc;(X};57gYJSKQp~mhKHynZ==Fa-o@;TgVY0?=!{K5_0+@Hd&bot!&2@RR5aYh z@boi%NmuE6`1+2_I$}3+y7=qfv)ajYCbjiFf2%IDS@^b(yV!-&mXT)^JF(oGJJmH4 z$K}kE!CvNTuV`;tXLY40buUKPAlpDj!H%_!%{kX6&yDDEntTtjC9F{21;p3ATOBVr z;KpQYn{klp-j??K*bR92?0Vi=Q=D25^1OWV-Cw?GJTrHIV$2=Zoo2u-;kOq0KabPk zHyxj?8&%0EWnM5=HZRJinv8esH0t}NuMv1_^=`q2VuQQhvKbD8?a1?j>y7K1?JW8n z?uLW(?VF5lG7oi}J9-|f^Zz#sE6ejK>^!Q Date: Thu, 28 Dec 2023 10:38:12 -0500 Subject: [PATCH 5/7] fix tests --- mvp/server/analysis.py | 20 ++++++-------- mvp/server/api.py | 2 +- mvp/server/data_models.py | 39 ++++++++++++++++------------ mvp/server/math_utils.py | 13 ++++++++++ mvp/server/tests/test_analysis.py | 25 +++++++++++------- mvp/server/tests/test_data_models.py | 2 +- 6 files changed, 62 insertions(+), 39 deletions(-) create mode 100644 mvp/server/math_utils.py diff --git a/mvp/server/analysis.py b/mvp/server/analysis.py index 1dfcbe9..182dead 100644 --- a/mvp/server/analysis.py +++ b/mvp/server/analysis.py @@ -1,6 +1,5 @@ -import math - from mvp.server.constants import TIMESTEPS_PER_MOVE +from mvp.server.math_utils import exponential_decay, linear_growth_with_reset def get_health_percentage(current_timestep: int, initial_value=100) -> int: @@ -9,17 +8,13 @@ def get_health_percentage(current_timestep: int, initial_value=100) -> int: return min(100, max(0, raw_val)) -def exponential_decay(t: int, initial_value: int, decay_speed: float) -> float: - return initial_value - math.exp(t * decay_speed) - - -def compute_decay_speed(t: int) -> float: +def compute_decay_speed(current_timestep: int) -> float: # Made-up calculation involving operational parameters: temperature, oil age, mechanical wear # - temperature grows linearly over the 8 hours of a shift (resets every 8 hours) # - oil age grows monotonically, directly proportional to temperature and resets only after every maintenance routine # - mechanical wear grows monotonically, directly proportional to oil age, for now it never resets (such that at some point, the machine will definitely break and game over) - parameter_values = get_parameter_values(t) + parameter_values = get_parameter_values(current_timestep) # TODO: calibrate these weights computed = parameter_values["temperature"] * 0.01 + parameter_values["oil_age"] * 0.01 + parameter_values[ @@ -37,15 +32,16 @@ def get_parameter_values(current_timestep: int) -> dict[str, float]: } -def get_machine_temperature(t: int) -> float: - return max(0, t - 1) % TIMESTEPS_PER_MOVE +def get_machine_temperature(current_timestep: int) -> float: + # return max(0, current_timestep - 1) % TIMESTEPS_PER_MOVE + return linear_growth_with_reset(initial_value=0, period=TIMESTEPS_PER_MOVE, time=current_timestep) -def get_oil_age(t: int) -> float: +def get_oil_age(current_timestep: int) -> float: return 0. -def get_mechanical_wear(t: int) -> float: +def get_mechanical_wear(current_timestep: int) -> float: return 0. diff --git a/mvp/server/api.py b/mvp/server/api.py index e6ddf58..c0f6120 100644 --- a/mvp/server/api.py +++ b/mvp/server/api.py @@ -35,7 +35,7 @@ async def create_session() -> GameSessionDTO: new_session_id = uuid.uuid4().hex if new_session_id not in sessions: - session = GameSession(id=new_session_id) + session = GameSession.new_game_session(id=new_session_id) sessions[new_session_id] = session return GameSessionDTO.from_session(sessions[new_session_id]) diff --git a/mvp/server/data_models.py b/mvp/server/data_models.py index 79bff9b..331de2a 100644 --- a/mvp/server/data_models.py +++ b/mvp/server/data_models.py @@ -24,12 +24,7 @@ def from_dict(json: dict[str, float]) -> 'OperationalParameters': class MachineStats(BaseModel): predicted_rul: int | None = None health_percentage: int - operational_parameters: OperationalParameters | None = None - - @staticmethod - def from_dict(json: dict[str, Any]): - return MachineStats(predicted_rul=json.get("predicted_rul", None), - health_percentage=json.get("health_percentage", 0)) + operational_parameters: OperationalParameters def is_broken(self) -> bool: if self.health_percentage <= 0: @@ -40,6 +35,16 @@ def is_broken(self) -> bool: return False + @staticmethod + def from_dict(json: dict[str, Any]): + return MachineStats( + predicted_rul=json.get("predicted_rul", None), + health_percentage=json.get("health_percentage", 0), + operational_parameters=OperationalParameters.from_dict( + json.get("operational_parameters", {}) + ) + ) + def __str__(self): return (f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage}), " f"operational_parameters={self.operational_parameters})") @@ -48,19 +53,21 @@ def __str__(self): class GameSession(BaseModel): id: str current_step: int = 0 - machine_stats: MachineStats | None = None + machine_stats: MachineStats - # This function can be updated in-game, to simulate a change in the model (an "upgrade" for the player) + # TODO: Update this function in-game, to simulate a change in the model (an "upgrade" for the player) rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn - def __init__(self, id: str, current_step: int = 0): - super().__init__(id=id, current_step=current_step) - - # init player's machine - self.machine_stats = MachineStats( - predicted_rul=None, - health_percentage=get_health_percentage(self.current_step), - operational_parameters=OperationalParameters.from_dict(get_parameter_values(self.current_step)) + @staticmethod + def new_game_session(id: str, current_step: int = 0): + return GameSession( + id=id, + current_step=0, + machine_stats=MachineStats( + predicted_rul=None, + health_percentage=get_health_percentage(current_step), + operational_parameters=OperationalParameters.from_dict(get_parameter_values(current_step)) + ) ) async def advance_one_turn(self) -> list[MachineStats]: diff --git a/mvp/server/math_utils.py b/mvp/server/math_utils.py new file mode 100644 index 0000000..b1900ed --- /dev/null +++ b/mvp/server/math_utils.py @@ -0,0 +1,13 @@ +import math + + +def linear_growth_with_reset(initial_value, period, time): + growth_rate = 1 + effective_time = time % period + current_value = initial_value + growth_rate * effective_time + current_value %= (initial_value + period) + return current_value + + +def exponential_decay(current_timestep: int, initial_value: int, decay_speed: float) -> float: + return initial_value - math.exp(current_timestep * decay_speed) diff --git a/mvp/server/tests/test_analysis.py b/mvp/server/tests/test_analysis.py index 2e46dc6..d8dc169 100644 --- a/mvp/server/tests/test_analysis.py +++ b/mvp/server/tests/test_analysis.py @@ -4,12 +4,19 @@ from mvp.server.constants import TIMESTEPS_PER_MOVE -def test_get_machine_temperature(): - for i in range(0, 40): - # check that it grows monotonically until the last timestep of the move - if i % TIMESTEPS_PER_MOVE != TIMESTEPS_PER_MOVE - 1: - assert get_machine_temperature(i) <= get_machine_temperature(i + 1) - - # check that it resets after the last timestep of the move - assert pytest.approx(get_machine_temperature(i), 10) == pytest.approx( - get_machine_temperature(i + TIMESTEPS_PER_MOVE), 10) +def test_temperature_grows_monotonically(): + # check that it grows monotonically until the last timestep of the move + assert all( + get_machine_temperature(i) <= get_machine_temperature(i + 1) + for i in range(0, TIMESTEPS_PER_MOVE - 1) + ) + + +def test_temperature_is_periodic(): + # check that it resets after the last timestep of the move + assert all( + pytest.approx( + get_machine_temperature(i), 10) == pytest.approx(get_machine_temperature(i + TIMESTEPS_PER_MOVE), + 10) + for i in range(0, 40) + ) diff --git a/mvp/server/tests/test_data_models.py b/mvp/server/tests/test_data_models.py index caff593..b930c68 100644 --- a/mvp/server/tests/test_data_models.py +++ b/mvp/server/tests/test_data_models.py @@ -6,7 +6,7 @@ @pytest.fixture def game_session(): - return GameSession(id="test_session") + return GameSession.new_game_session(id="test_session", current_step=0) def test_game_session_initialization(game_session): From 44ab48cdcf1d0283dbcfb4a301a10e2b62fc25c6 Mon Sep 17 00:00:00 2001 From: linomp Date: Fri, 29 Dec 2023 17:30:42 -0500 Subject: [PATCH 6/7] fixed some stuff & refactors --- README.md | 2 +- media/29_12_2023.PNG | Bin 0 -> 172559 bytes mvp/client/src/routes/+page.svelte | 54 ++++---- mvp/server/analysis.py | 54 +++----- mvp/server/api.py | 7 +- mvp/server/constants.py | 4 + mvp/server/data_models.py | 123 ------------------ mvp/server/data_models/GameSession.py | 71 ++++++++++ mvp/server/data_models/MachineStats.py | 122 +++++++++++++++++ mvp/server/data_models/__init__.py | 0 mvp/server/math_utils.py | 22 +++- mvp/server/tests/test_analysis.py | 22 ---- ...st_data_models.py => test_game_session.py} | 2 +- mvp/server/tests/test_machine_stats.py | 20 +++ 14 files changed, 282 insertions(+), 221 deletions(-) create mode 100644 media/29_12_2023.PNG delete mode 100644 mvp/server/data_models.py create mode 100644 mvp/server/data_models/GameSession.py create mode 100644 mvp/server/data_models/MachineStats.py create mode 100644 mvp/server/data_models/__init__.py delete mode 100644 mvp/server/tests/test_analysis.py rename mvp/server/tests/{test_data_models.py => test_game_session.py} (96%) create mode 100644 mvp/server/tests/test_machine_stats.py diff --git a/README.md b/README.md index f45b6f0..1080b8a 100644 --- a/README.md +++ b/README.md @@ -1 +1 @@ -![image](https://github.com/linomp/pdm-game/assets/40581019/0bda82aa-9577-4127-8fee-c9a4981cd4cd) +![image](./media/29_12_2023.PNG) diff --git a/media/29_12_2023.PNG b/media/29_12_2023.PNG new file mode 100644 index 0000000000000000000000000000000000000000..605bcda84d2b7115695d9a27619ea23a54912dee GIT binary patch literal 172559 zcmeFY^;er+*FT6Cx8m;FB8B3Rmg2OyTaZ$`KyeN3TD-UwhXSQI!J)X6;_e!p03rG2 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z%EwpXTx*qqzXDGxjKy3kL?*&{4T3moXF76mctMN{F>nl<`(hFnhBgIw?;li=-d_E&ybcgeWKrW#Hl9 zwsm9*>4n29bqlUf^}@e8DcY!ejMLX?o_IPBOEdiTZ>YPr-BgbYd>L^yplZFxj54x7N$K>)Y;5($kOhv^KQ>f09`)UgAD%sx zeVL0mx7^=8<}cpXZoYkcB)n>&?Hb&iv+4anSg=kEierSFE_O2Ucl#kIhrL6JQBhNw zIg(6XQuF-&UU!`X_)=tN{1m8W&WdU}W#VJ3WnaiF{f~VV+h=uM@4aWR57f-W9wca; zYj6tdNs|!}BQ*AbueD9(}M#uWm?Jr3YeE&v*T*ED{y{$%6#DO>J&hH5={Cr;j2^3h`9%`8I4tbpQ z!cSQF9UY$GJl59xYTtGU`NQa#@gG3s2&r*nR3pb6++qZD-8($514QBL7ImZmfETV4 n1hWqSK<6*_=Kt%DcHDck8bb^26axe=T^9>eTazazJX8J&M?md6 literal 0 HcmV?d00001 diff --git a/mvp/client/src/routes/+page.svelte b/mvp/client/src/routes/+page.svelte index fd8fbe9..fb91695 100644 --- a/mvp/client/src/routes/+page.svelte +++ b/mvp/client/src/routes/+page.svelte @@ -26,17 +26,13 @@ }; const fetchExistingSession = async () => { - if (!gameSession) { - return; - } - - if (gameSession?.machine_stats && gameSession.machine_stats.health_percentage <= 0) { - gameOver = true; + if (!gameSession || gameOver) { return; } try { gameSession = await SessionsService.getSessionSessionGet(gameSession?.id); + checkForGameOver(); } catch (error) { console.error('Error fetching session:', error); } @@ -46,9 +42,10 @@ if (!gameSession || gameOver) { return; } + // TODO: migrate this polling strategy to a websocket connection // start fetching machine health every second while the day is advancing - const intervalId = setInterval(fetchExistingSession, 700); + const intervalId = setInterval(fetchExistingSession, 500); advanceButtonDisabled = true; try { @@ -61,15 +58,21 @@ advanceButtonDisabled = false; } }; + + const checkForGameOver = () => { + if (!gameSession) { + return; + } + + if (gameSession?.machine_stats && gameSession.machine_stats.health_percentage <= 0) { + gameOver = true; + } + };

The Predictive Maintenance Game

- {#if !gameSession} - - {/if} - {#if gameSession} - {/if} - {#if gameSession && !gameOver} -
-

Game Session Details

+ {#if gameOver} +

Game Over

{JSON.stringify(gameSession, null, 2)}
-
- - {/if} - - - - {#if gameOver} -

Game Over

- 
{JSON.stringify(gameSession, null, 2)}
-

Machine health has reached 0%.

+

Machine health has reached 0%.

+ {:else} +
+

Game Session Details

+ 
{JSON.stringify(gameSession, null, 2)}
+
+ + {/if} + {:else} + {/if}
diff --git a/mvp/server/analysis.py b/mvp/server/analysis.py index 182dead..a146816 100644 --- a/mvp/server/analysis.py +++ b/mvp/server/analysis.py @@ -1,48 +1,24 @@ -from mvp.server.constants import TIMESTEPS_PER_MOVE -from mvp.server.math_utils import exponential_decay, linear_growth_with_reset +from mvp.server.constants import OIL_AGE_MAPPING_MAX, TEMPERATURE_MAPPING_MAX, \ + MECHANICAL_WEAR_MAPPING_MAX +from mvp.server.math_utils import map_value -def get_health_percentage(current_timestep: int, initial_value=100) -> int: - health_decay_speed = compute_decay_speed(current_timestep) - raw_val = round(exponential_decay(current_timestep, initial_value=initial_value, decay_speed=health_decay_speed)) - return min(100, max(0, raw_val)) - - -def compute_decay_speed(current_timestep: int) -> float: - # Made-up calculation involving operational parameters: temperature, oil age, mechanical wear - # - temperature grows linearly over the 8 hours of a shift (resets every 8 hours) - # - oil age grows monotonically, directly proportional to temperature and resets only after every maintenance routine - # - mechanical wear grows monotonically, directly proportional to oil age, for now it never resets (such that at some point, the machine will definitely break and game over) - - parameter_values = get_parameter_values(current_timestep) - +def compute_decay_speed(parameter_values: 'OperationalParameters') -> float: # TODO: calibrate these weights - computed = parameter_values["temperature"] * 0.01 + parameter_values["oil_age"] * 0.01 + parameter_values[ - "mechanical_wear"] * 0.01 - - # decay speed will always bet between 0.1 and 0.2 - return min(computed / 3, 0.3) + temperature_weight = 0.01 + oil_age_weight = 0.01 + mechanical_wear_weight = 0.01 + # Made-up calculation involving operational parameters: temperature, oil age, mechanical wear + computed = parameter_values.temperature * temperature_weight + \ + parameter_values.oil_age * oil_age_weight + \ + parameter_values.mechanical_wear * mechanical_wear_weight -def get_parameter_values(current_timestep: int) -> dict[str, float]: - return { - "temperature": get_machine_temperature(current_timestep), - "oil_age": get_oil_age(current_timestep), - "mechanical_wear": get_mechanical_wear(current_timestep) - } - - -def get_machine_temperature(current_timestep: int) -> float: - # return max(0, current_timestep - 1) % TIMESTEPS_PER_MOVE - return linear_growth_with_reset(initial_value=0, period=TIMESTEPS_PER_MOVE, time=current_timestep) - - -def get_oil_age(current_timestep: int) -> float: - return 0. - + mapping_max = TEMPERATURE_MAPPING_MAX * temperature_weight + \ + OIL_AGE_MAPPING_MAX * oil_age_weight + \ + MECHANICAL_WEAR_MAPPING_MAX * mechanical_wear_weight -def get_mechanical_wear(current_timestep: int) -> float: - return 0. + return map_value(computed, from_low=0, from_high=mapping_max, to_low=0, to_high=0.3) def default_rul_prediction_fn(current_timestep: int) -> int | None: diff --git a/mvp/server/api.py b/mvp/server/api.py index c0f6120..c1bc883 100644 --- a/mvp/server/api.py +++ b/mvp/server/api.py @@ -4,7 +4,7 @@ from fastapi.middleware.cors import CORSMiddleware from starlette.responses import RedirectResponse, JSONResponse -from mvp.server.data_models import GameSession, GameSessionDTO +from mvp.server.data_models.GameSession import GameSession, GameSessionDTO app = FastAPI() app.add_middleware( @@ -19,9 +19,6 @@ @app.on_event("shutdown") async def cleanup_sessions(): - for session in sessions.values(): - session.stop_incrementing() - sessions.clear() @@ -58,7 +55,7 @@ async def advance(session_id: str) -> GameSessionDTO | JSONResponse: session = sessions[session_id] - # TODO: do something with the returned list of MachineStats + # TODO: do something with the returned list of MachineStats. May be useful for prediction functionality. await session.advance_one_turn() return GameSessionDTO.from_session(session) diff --git a/mvp/server/constants.py b/mvp/server/constants.py index 0a3359e..65bc1a9 100644 --- a/mvp/server/constants.py +++ b/mvp/server/constants.py @@ -1,3 +1,7 @@ DEFAULT_SESSION_ID = 'test' GAME_TICK_INTERVAL = 0.5 TIMESTEPS_PER_MOVE = 8 # we conceptualize every player move as a full working day, or "8 hours" +TEMPERATURE_STARTING_POINT = 20 +OIL_AGE_MAPPING_MAX = 1000 +TEMPERATURE_MAPPING_MAX = 200 +MECHANICAL_WEAR_MAPPING_MAX = 1000 diff --git a/mvp/server/data_models.py b/mvp/server/data_models.py deleted file mode 100644 index 331de2a..0000000 --- a/mvp/server/data_models.py +++ /dev/null @@ -1,123 +0,0 @@ -import asyncio -from typing import Any, Callable - -from pydantic import BaseModel - -from mvp.server.analysis import get_health_percentage, default_rul_prediction_fn, get_parameter_values -from mvp.server.constants import TIMESTEPS_PER_MOVE - - -class OperationalParameters(BaseModel): - temperature: float - oil_age: float - mechanical_wear: float - - @staticmethod - def from_dict(json: dict[str, float]) -> 'OperationalParameters': - return OperationalParameters( - temperature=json.get("temperature", 0), - oil_age=json.get("oil_age", 0), - mechanical_wear=json.get("mechanical_wear", 0) - ) - - -class MachineStats(BaseModel): - predicted_rul: int | None = None - health_percentage: int - operational_parameters: OperationalParameters - - def is_broken(self) -> bool: - if self.health_percentage <= 0: - return True - - if self.predicted_rul is not None and self.predicted_rul <= 0: - return True - - return False - - @staticmethod - def from_dict(json: dict[str, Any]): - return MachineStats( - predicted_rul=json.get("predicted_rul", None), - health_percentage=json.get("health_percentage", 0), - operational_parameters=OperationalParameters.from_dict( - json.get("operational_parameters", {}) - ) - ) - - def __str__(self): - return (f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage}), " - f"operational_parameters={self.operational_parameters})") - - -class GameSession(BaseModel): - id: str - current_step: int = 0 - machine_stats: MachineStats - - # TODO: Update this function in-game, to simulate a change in the model (an "upgrade" for the player) - rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn - - @staticmethod - def new_game_session(id: str, current_step: int = 0): - return GameSession( - id=id, - current_step=0, - machine_stats=MachineStats( - predicted_rul=None, - health_percentage=get_health_percentage(current_step), - operational_parameters=OperationalParameters.from_dict(get_parameter_values(current_step)) - ) - ) - - async def advance_one_turn(self) -> list[MachineStats]: - collected_machine_stats_during_turn = [] - - for _ in range(TIMESTEPS_PER_MOVE): - # collect stats - collected_machine_stats_during_turn.append(self.machine_stats) - - # check if game over - if self.machine_stats.is_broken(): - print(f"GameSession '{self.id}' - machine failed at step {self.current_step} - {self.machine_stats}") - break - - self.current_step += 1 - self._update_machine_stats() - self._log() - - await asyncio.sleep(0.5) - - return collected_machine_stats_during_turn - - def _update_machine_stats(self): - self.machine_stats.health_percentage = get_health_percentage(self.current_step, - initial_value=self.machine_stats.health_percentage) - self.machine_stats.operational_parameters = get_parameter_values(self.current_step) - self.machine_stats.predicted_rul = self.rul_predictor(self.current_step) - - def _log(self, multiple=1): - if self.current_step % multiple == 0: - print(f"GameSession '{self.id}' - step: {self.current_step} - {self.machine_stats}") - - -class GameSessionDTO(BaseModel): - id: str - current_step: int - machine_stats: MachineStats | None = None - - @staticmethod - def from_session(session: 'GameSession'): - return GameSessionDTO( - id=session.id, - current_step=session.current_step, - machine_stats=session.machine_stats, - ) - - @staticmethod - def from_dict(json: dict[str, Any]): - return GameSessionDTO( - id=json.get("id", ""), - current_step=json.get("current_step", 0), - machine_stats=MachineStats.from_dict(json.get("machine_stats", {})) - ) diff --git a/mvp/server/data_models/GameSession.py b/mvp/server/data_models/GameSession.py new file mode 100644 index 0000000..b8d7951 --- /dev/null +++ b/mvp/server/data_models/GameSession.py @@ -0,0 +1,71 @@ +import asyncio +from typing import Any, Callable + +from pydantic import BaseModel + +from mvp.server.analysis import default_rul_prediction_fn +from mvp.server.constants import TIMESTEPS_PER_MOVE +from mvp.server.data_models.MachineStats import MachineStats + + +class GameSession(BaseModel): + id: str + current_step: int = 0 + machine_stats: MachineStats + + # TODO: Update this function in-game, to simulate a change in the model (an "upgrade" for the player) + rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn + + @staticmethod + def new_game_session(id: str, current_step: int = 0): + return GameSession( + id=id, + current_step=0, + machine_stats=MachineStats.new_machine_stats(current_step) + ) + + async def advance_one_turn(self) -> list[MachineStats]: + collected_machine_stats_during_turn = [] + + for _ in range(TIMESTEPS_PER_MOVE): + # collect stats + collected_machine_stats_during_turn.append(self.machine_stats) + + # check if game over + if self.machine_stats.is_broken(): + print(f"GameSession '{self.id}' - machine failed at step {self.current_step} - {self.machine_stats}") + break + + self.current_step += 1 + self.machine_stats.update_stats_and_parameters(self.current_step, self.rul_predictor) + self._log() + + await asyncio.sleep(0.5) + + return collected_machine_stats_during_turn + + def _log(self, multiple=5): + if self.current_step % multiple == 0: + print(f"GameSession '{self.id}' - step: {self.current_step} - {self.machine_stats}") + + +class GameSessionDTO(BaseModel): + id: str + current_step: int + machine_stats: MachineStats | None = None + + @staticmethod + def from_session(session: 'GameSession'): + return GameSessionDTO( + id=session.id, + current_step=session.current_step, + machine_stats=session.machine_stats, + ) + + @staticmethod + def from_dict(json: dict[str, Any]): + return GameSessionDTO( + id=json.get("id", ""), + current_step=json.get("current_step", 0), + machine_stats=MachineStats.from_dict(json.get("machine_stats", {})) + ) diff --git a/mvp/server/data_models/MachineStats.py b/mvp/server/data_models/MachineStats.py new file mode 100644 index 0000000..34deddf --- /dev/null +++ b/mvp/server/data_models/MachineStats.py @@ -0,0 +1,122 @@ +import math +from typing import Any, Callable + +from pydantic import BaseModel + +from mvp.server.analysis import compute_decay_speed +from mvp.server.constants import OIL_AGE_MAPPING_MAX, TEMPERATURE_MAPPING_MAX, \ + MECHANICAL_WEAR_MAPPING_MAX, TIMESTEPS_PER_MOVE, TEMPERATURE_STARTING_POINT +from mvp.server.math_utils import map_value, linear_growth_with_reset, exponential_decay + + +class OperationalParameters(BaseModel): + temperature: float + oil_age: float + mechanical_wear: float + + def to_dict(self) -> dict[str, float]: + return { + "temperature": self.temperature, + "oil_age": self.oil_age, + "mechanical_wear": self.mechanical_wear + } + + @staticmethod + def from_dict(json: dict[str, float]) -> 'OperationalParameters': + return OperationalParameters( + temperature=json.get("temperature", 0), + oil_age=json.get("oil_age", 0), + mechanical_wear=json.get("mechanical_wear", 0) + ) + + +class MachineStats(BaseModel): + predicted_rul: int | None = None + health_percentage: int + operational_parameters: OperationalParameters + + @staticmethod + def new_machine_stats(current_step: int): + return MachineStats( + health_percentage=100, + operational_parameters=OperationalParameters( + temperature=TEMPERATURE_STARTING_POINT, + oil_age=0, + mechanical_wear=0 + ) + ) + + def is_broken(self) -> bool: + if self.health_percentage <= 0: + return True + + if self.predicted_rul is not None and self.predicted_rul <= 0: + return True + + return False + + def update_stats_and_parameters(self, timestep: int, rul_predictor: Callable[[int], int | None] = None): + self.operational_parameters = self.get_operational_parameters(timestep) + self.health_percentage = self.get_health_percentage(timestep) + self.predicted_rul = rul_predictor(timestep) + + def get_health_percentage(self, current_timestep: int) -> int: + health_decay_speed = compute_decay_speed(self.operational_parameters) + raw_value = round( + exponential_decay( + current_timestep, + initial_value=self.health_percentage, + decay_speed=health_decay_speed + ) + ) + # return round(map_value(raw_value, from_low=0, from_high=sys.float_info.max, to_low=0, to_high=100)) + return min(100, max(0, raw_value)) + + def get_operational_parameters(self, current_timestep: int) -> OperationalParameters: + temperature = self.get_machine_temperature(current_timestep) + oil_age = self.get_oil_age(current_timestep, temperature, initial_value=self.operational_parameters.oil_age) + return OperationalParameters( + temperature=temperature, + oil_age=oil_age, + mechanical_wear=self.get_mechanical_wear(current_timestep, oil_age) + ) + + def get_machine_temperature(self, current_timestep: int) -> float: + # temperature grows linearly over the 8 hours of a shift (resets every 8 hours) + raw_value = linear_growth_with_reset( + initial_value=0, + period=TIMESTEPS_PER_MOVE, + current_timestep=current_timestep + ) + return map_value( + raw_value, + from_low=0, + from_high=TIMESTEPS_PER_MOVE - 1, + to_low=TEMPERATURE_STARTING_POINT, + to_high=TEMPERATURE_MAPPING_MAX + ) + + def get_oil_age(self, current_timestep: int, machine_temperature: float, initial_value: float) -> float: + # oil age grows monotonically and resets only after every maintenance routine + raw_value = initial_value + (current_timestep * machine_temperature) + return map_value(raw_value, from_low=0, from_high=1e5, to_low=0, to_high=OIL_AGE_MAPPING_MAX) + + def get_mechanical_wear(self, current_timestep: int, oil_age: float) -> float: + # mechanical wear grows monotonically, directly proportional to oil ag. + # for now it never resets (such that at some point, the machine will definitely break and game over) + raw_value = math.exp(current_timestep) * oil_age / 1e6 + return map_value(raw_value, from_low=0, from_high=1e12, to_low=0, to_high=MECHANICAL_WEAR_MAPPING_MAX) + + @staticmethod + def from_dict(json: dict[str, Any]): + return MachineStats( + predicted_rul=json.get("predicted_rul", None), + health_percentage=json.get("health_percentage", 0), + operational_parameters=OperationalParameters.from_dict( + json.get("operational_parameters", {}) + ) + ) + + def __str__(self): + return (f"MachineStats(predicted_rul={self.predicted_rul}, health_percentage={self.health_percentage}, " + f"operational_parameters={self.operational_parameters})") diff --git a/mvp/server/data_models/__init__.py b/mvp/server/data_models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/mvp/server/math_utils.py b/mvp/server/math_utils.py index b1900ed..6d4a506 100644 --- a/mvp/server/math_utils.py +++ b/mvp/server/math_utils.py @@ -1,13 +1,27 @@ import math -def linear_growth_with_reset(initial_value, period, time): - growth_rate = 1 - effective_time = time % period +def linear_growth_with_reset(initial_value: float, period: int, current_timestep: int, growth_rate=1) -> float: + effective_time = current_timestep % period current_value = initial_value + growth_rate * effective_time current_value %= (initial_value + period) return current_value -def exponential_decay(current_timestep: int, initial_value: int, decay_speed: float) -> float: +def exponential_decay(current_timestep: int, initial_value: float, decay_speed: float) -> float: return initial_value - math.exp(current_timestep * decay_speed) + + +def map_value(value: float, from_low: float, from_high: float, to_low: float, to_high: float) -> float: + from_range: float = from_high - from_low + to_range: float = to_high - to_low + + scaled_value: float = (value - from_low) / from_range + mapped_value: float = to_low + (scaled_value * to_range) + + if mapped_value < to_low: + return to_low + elif mapped_value > to_high: + return to_high + else: + return mapped_value diff --git a/mvp/server/tests/test_analysis.py b/mvp/server/tests/test_analysis.py deleted file mode 100644 index d8dc169..0000000 --- a/mvp/server/tests/test_analysis.py +++ /dev/null @@ -1,22 +0,0 @@ -import pytest - -from mvp.server.analysis import get_machine_temperature -from mvp.server.constants import TIMESTEPS_PER_MOVE - - -def test_temperature_grows_monotonically(): - # check that it grows monotonically until the last timestep of the move - assert all( - get_machine_temperature(i) <= get_machine_temperature(i + 1) - for i in range(0, TIMESTEPS_PER_MOVE - 1) - ) - - -def test_temperature_is_periodic(): - # check that it resets after the last timestep of the move - assert all( - pytest.approx( - get_machine_temperature(i), 10) == pytest.approx(get_machine_temperature(i + TIMESTEPS_PER_MOVE), - 10) - for i in range(0, 40) - ) diff --git a/mvp/server/tests/test_data_models.py b/mvp/server/tests/test_game_session.py similarity index 96% rename from mvp/server/tests/test_data_models.py rename to mvp/server/tests/test_game_session.py index b930c68..ee41990 100644 --- a/mvp/server/tests/test_data_models.py +++ b/mvp/server/tests/test_game_session.py @@ -1,7 +1,7 @@ import pytest from mvp.server.constants import TIMESTEPS_PER_MOVE -from mvp.server.data_models import GameSession +from mvp.server.data_models.GameSession import GameSession @pytest.fixture diff --git a/mvp/server/tests/test_machine_stats.py b/mvp/server/tests/test_machine_stats.py new file mode 100644 index 0000000..b5453ad --- /dev/null +++ b/mvp/server/tests/test_machine_stats.py @@ -0,0 +1,20 @@ +from mvp.server.constants import TIMESTEPS_PER_MOVE +from mvp.server.data_models.MachineStats import MachineStats + + +def test_temperature_grows_monotonically(): + machine_stats = MachineStats.new_machine_stats(0) + + for i in range(0, TIMESTEPS_PER_MOVE - 1): + current_temp = machine_stats.get_machine_temperature(i) + next_temp = machine_stats.get_machine_temperature(i + 1) + assert current_temp <= next_temp + + +def test_temperature_is_periodic(): + machine_stats = MachineStats.new_machine_stats(0) + + for i in range(0, 40): + current_temp = machine_stats.get_machine_temperature(i) + future_temp = machine_stats.get_machine_temperature(i + TIMESTEPS_PER_MOVE) + assert round(current_temp, 10) == round(future_temp, 10) From e92502c90538e452f8ae9196b2b98fc998a9181e Mon Sep 17 00:00:00 2001 From: linomp Date: Sat, 20 Jan 2024 17:30:16 +0100 Subject: [PATCH 7/7] fixed issue with operational parameters --- mvp/client/src/routes/+page.svelte | 1 + mvp/server/analysis.py | 4 +- mvp/server/api.py | 2 +- mvp/server/constants.py | 2 +- mvp/server/data_models/GameSession.py | 9 ++- mvp/server/data_models/MachineStats.py | 103 ++++++++++++++----------- mvp/server/tests/test_game_session.py | 8 +- mvp/server/tests/test_machine_stats.py | 14 ++-- 8 files changed, 77 insertions(+), 66 deletions(-) diff --git a/mvp/client/src/routes/+page.svelte b/mvp/client/src/routes/+page.svelte index fb91695..38aed82 100644 --- a/mvp/client/src/routes/+page.svelte +++ b/mvp/client/src/routes/+page.svelte @@ -53,6 +53,7 @@ } catch (error) { console.error('Error advancing day:', error); } finally { + await fetchExistingSession(); // stop fetching machine health until the player advances to next day again clearInterval(intervalId); advanceButtonDisabled = false; diff --git a/mvp/server/analysis.py b/mvp/server/analysis.py index a146816..743b1a0 100644 --- a/mvp/server/analysis.py +++ b/mvp/server/analysis.py @@ -5,8 +5,8 @@ def compute_decay_speed(parameter_values: 'OperationalParameters') -> float: # TODO: calibrate these weights - temperature_weight = 0.01 - oil_age_weight = 0.01 + temperature_weight = 0.001 + oil_age_weight = 0.001 mechanical_wear_weight = 0.01 # Made-up calculation involving operational parameters: temperature, oil age, mechanical wear diff --git a/mvp/server/api.py b/mvp/server/api.py index c1bc883..00b7ba4 100644 --- a/mvp/server/api.py +++ b/mvp/server/api.py @@ -32,7 +32,7 @@ async def create_session() -> GameSessionDTO: new_session_id = uuid.uuid4().hex if new_session_id not in sessions: - session = GameSession.new_game_session(id=new_session_id) + session = GameSession.new_game_session(_id=new_session_id) sessions[new_session_id] = session return GameSessionDTO.from_session(sessions[new_session_id]) diff --git a/mvp/server/constants.py b/mvp/server/constants.py index 65bc1a9..a70c840 100644 --- a/mvp/server/constants.py +++ b/mvp/server/constants.py @@ -2,6 +2,6 @@ GAME_TICK_INTERVAL = 0.5 TIMESTEPS_PER_MOVE = 8 # we conceptualize every player move as a full working day, or "8 hours" TEMPERATURE_STARTING_POINT = 20 -OIL_AGE_MAPPING_MAX = 1000 +OIL_AGE_MAPPING_MAX = 365 TEMPERATURE_MAPPING_MAX = 200 MECHANICAL_WEAR_MAPPING_MAX = 1000 diff --git a/mvp/server/data_models/GameSession.py b/mvp/server/data_models/GameSession.py index b8d7951..490b5d0 100644 --- a/mvp/server/data_models/GameSession.py +++ b/mvp/server/data_models/GameSession.py @@ -17,11 +17,11 @@ class GameSession(BaseModel): rul_predictor: Callable[[int], int | None] = default_rul_prediction_fn @staticmethod - def new_game_session(id: str, current_step: int = 0): + def new_game_session(_id: str): return GameSession( - id=id, + id=_id, current_step=0, - machine_stats=MachineStats.new_machine_stats(current_step) + machine_stats=MachineStats.new_machine_stats() ) async def advance_one_turn(self) -> list[MachineStats]: @@ -44,6 +44,9 @@ async def advance_one_turn(self) -> list[MachineStats]: return collected_machine_stats_during_turn + def do_maintenance(self): + self.machine_stats.simulate_maintenance() + def _log(self, multiple=5): if self.current_step % multiple == 0: print(f"GameSession '{self.id}' - step: {self.current_step} - {self.machine_stats}") diff --git a/mvp/server/data_models/MachineStats.py b/mvp/server/data_models/MachineStats.py index 34deddf..dc351c5 100644 --- a/mvp/server/data_models/MachineStats.py +++ b/mvp/server/data_models/MachineStats.py @@ -4,8 +4,8 @@ from pydantic import BaseModel from mvp.server.analysis import compute_decay_speed -from mvp.server.constants import OIL_AGE_MAPPING_MAX, TEMPERATURE_MAPPING_MAX, \ - MECHANICAL_WEAR_MAPPING_MAX, TIMESTEPS_PER_MOVE, TEMPERATURE_STARTING_POINT +from mvp.server.constants import TEMPERATURE_MAPPING_MAX, \ + TIMESTEPS_PER_MOVE, TEMPERATURE_STARTING_POINT, OIL_AGE_MAPPING_MAX, MECHANICAL_WEAR_MAPPING_MAX from mvp.server.math_utils import map_value, linear_growth_with_reset, exponential_decay @@ -14,6 +14,49 @@ class OperationalParameters(BaseModel): oil_age: float mechanical_wear: float + def update(self, current_timestep: int) -> None: + self.temperature = self.compute_machine_temperature(current_timestep) + self.oil_age = self.compute_oil_age(current_timestep) + self.mechanical_wear = self.compute_mechanical_wear(current_timestep) + + def compute_machine_temperature(self, current_timestep: int) -> float: + # temperature grows linearly over the 8 hours of a shift (resets every 8 hours) + raw_value = linear_growth_with_reset( + initial_value=0, + period=TIMESTEPS_PER_MOVE, + current_timestep=current_timestep + ) + return map_value( + raw_value, + from_low=0, + from_high=TIMESTEPS_PER_MOVE - 1, + to_low=TEMPERATURE_STARTING_POINT, + to_high=TEMPERATURE_MAPPING_MAX + ) + + def compute_oil_age(self, current_timestep: int) -> float: + # oil age grows monotonically and resets only after every maintenance routine + raw_value = self.oil_age + (current_timestep * self.temperature) + return map_value( + raw_value, + from_low=self.oil_age, + from_high=1e5, + to_low=self.oil_age, + to_high=OIL_AGE_MAPPING_MAX + ) + + def compute_mechanical_wear(self, current_timestep: int) -> float: + # mechanical wear grows monotonically, directly proportional to oil ag. + # for now it never resets (such that at some point, the machine will definitely break and game over) + raw_value = math.exp(current_timestep) * self.oil_age / 1e6 + return map_value( + raw_value, + from_low=0, + from_high=1e12, + to_low=self.mechanical_wear, + to_high=MECHANICAL_WEAR_MAPPING_MAX + ) + def to_dict(self) -> dict[str, float]: return { "temperature": self.temperature, @@ -36,7 +79,7 @@ class MachineStats(BaseModel): operational_parameters: OperationalParameters @staticmethod - def new_machine_stats(current_step: int): + def new_machine_stats(): return MachineStats( health_percentage=100, operational_parameters=OperationalParameters( @@ -47,16 +90,20 @@ def new_machine_stats(current_step: int): ) def is_broken(self) -> bool: - if self.health_percentage <= 0: - return True - - if self.predicted_rul is not None and self.predicted_rul <= 0: - return True + return self.health_percentage <= 0 - return False + def simulate_maintenance(self): + self.operational_parameters = OperationalParameters( + temperature=TEMPERATURE_STARTING_POINT, + oil_age=0, + mechanical_wear=self.operational_parameters.mechanical_wear / 2 + ) + # TODO: confirm if it makes sense to reset the health percentage; maybe should be kept as is, + # maintenance does not mean "new" machine, only slows down the decay + # self.health_percentage = 100 def update_stats_and_parameters(self, timestep: int, rul_predictor: Callable[[int], int | None] = None): - self.operational_parameters = self.get_operational_parameters(timestep) + self.operational_parameters.update(timestep) self.health_percentage = self.get_health_percentage(timestep) self.predicted_rul = rul_predictor(timestep) @@ -69,44 +116,8 @@ def get_health_percentage(self, current_timestep: int) -> int: decay_speed=health_decay_speed ) ) - # return round(map_value(raw_value, from_low=0, from_high=sys.float_info.max, to_low=0, to_high=100)) return min(100, max(0, raw_value)) - def get_operational_parameters(self, current_timestep: int) -> OperationalParameters: - temperature = self.get_machine_temperature(current_timestep) - oil_age = self.get_oil_age(current_timestep, temperature, initial_value=self.operational_parameters.oil_age) - return OperationalParameters( - temperature=temperature, - oil_age=oil_age, - mechanical_wear=self.get_mechanical_wear(current_timestep, oil_age) - ) - - def get_machine_temperature(self, current_timestep: int) -> float: - # temperature grows linearly over the 8 hours of a shift (resets every 8 hours) - raw_value = linear_growth_with_reset( - initial_value=0, - period=TIMESTEPS_PER_MOVE, - current_timestep=current_timestep - ) - return map_value( - raw_value, - from_low=0, - from_high=TIMESTEPS_PER_MOVE - 1, - to_low=TEMPERATURE_STARTING_POINT, - to_high=TEMPERATURE_MAPPING_MAX - ) - - def get_oil_age(self, current_timestep: int, machine_temperature: float, initial_value: float) -> float: - # oil age grows monotonically and resets only after every maintenance routine - raw_value = initial_value + (current_timestep * machine_temperature) - return map_value(raw_value, from_low=0, from_high=1e5, to_low=0, to_high=OIL_AGE_MAPPING_MAX) - - def get_mechanical_wear(self, current_timestep: int, oil_age: float) -> float: - # mechanical wear grows monotonically, directly proportional to oil ag. - # for now it never resets (such that at some point, the machine will definitely break and game over) - raw_value = math.exp(current_timestep) * oil_age / 1e6 - return map_value(raw_value, from_low=0, from_high=1e12, to_low=0, to_high=MECHANICAL_WEAR_MAPPING_MAX) - @staticmethod def from_dict(json: dict[str, Any]): return MachineStats( diff --git a/mvp/server/tests/test_game_session.py b/mvp/server/tests/test_game_session.py index ee41990..cb262b7 100644 --- a/mvp/server/tests/test_game_session.py +++ b/mvp/server/tests/test_game_session.py @@ -6,7 +6,7 @@ @pytest.fixture def game_session(): - return GameSession.new_game_session(id="test_session", current_step=0) + return GameSession.new_game_session(_id="test_session") def test_game_session_initialization(game_session): @@ -34,16 +34,12 @@ async def test_game_session_advance_one_turn(game_session): @pytest.mark.asyncio async def test_game_session_machine_breakdown(game_session): - # Testing the is_broken() method when health_percentage <= 0 game_session.machine_stats.health_percentage = 0 assert game_session.machine_stats.is_broken() is True - # Testing the is_broken() method when predicted_rul <= 0 - game_session.machine_stats.health_percentage = 50 - game_session.machine_stats.predicted_rul = 0 + game_session.machine_stats.health_percentage = -1 assert game_session.machine_stats.is_broken() is True - # Testing the is_broken() method when health_percentage and predicted_rul > 0 game_session.machine_stats.health_percentage = 50 game_session.machine_stats.predicted_rul = 10 assert game_session.machine_stats.is_broken() is False diff --git a/mvp/server/tests/test_machine_stats.py b/mvp/server/tests/test_machine_stats.py index b5453ad..7acf078 100644 --- a/mvp/server/tests/test_machine_stats.py +++ b/mvp/server/tests/test_machine_stats.py @@ -1,20 +1,20 @@ from mvp.server.constants import TIMESTEPS_PER_MOVE -from mvp.server.data_models.MachineStats import MachineStats +from mvp.server.data_models.MachineStats import OperationalParameters def test_temperature_grows_monotonically(): - machine_stats = MachineStats.new_machine_stats(0) + operational_parameters = OperationalParameters(temperature=0, oil_age=0, mechanical_wear=0) for i in range(0, TIMESTEPS_PER_MOVE - 1): - current_temp = machine_stats.get_machine_temperature(i) - next_temp = machine_stats.get_machine_temperature(i + 1) + current_temp = operational_parameters.compute_machine_temperature(i) + next_temp = operational_parameters.compute_machine_temperature(i + 1) assert current_temp <= next_temp def test_temperature_is_periodic(): - machine_stats = MachineStats.new_machine_stats(0) + operational_parameters = OperationalParameters(temperature=0, oil_age=0, mechanical_wear=0) for i in range(0, 40): - current_temp = machine_stats.get_machine_temperature(i) - future_temp = machine_stats.get_machine_temperature(i + TIMESTEPS_PER_MOVE) + current_temp = operational_parameters.compute_machine_temperature(i) + future_temp = operational_parameters.compute_machine_temperature(i + TIMESTEPS_PER_MOVE) assert round(current_temp, 10) == round(future_temp, 10)