From dd36445fd18fbf448d49cd14d64a679cbe6c6d2e Mon Sep 17 00:00:00 2001 From: Bobby Noelte Date: Wed, 22 Jan 2025 23:47:28 +0100 Subject: [PATCH] Improve EOSdash. Make EOSdash use UI components from MonsterUI to ease further development. - Add a first menu with some dummy pages and the configuration page. - Make the configuration scrollable. - Add markdown component that uses markdown-it-py (same as used by the myth-parser for documentation generation). - Add bokeh (https://docs.bokeh.org/) component for charts - Added several prediction charts to demo - Add a footer that displays connection status with EOS server - Add logo and favicon Update EOS server: - Move error message generation to extra module Signed-off-by: Bobby Noelte --- docs/_generated/openapi.md | 38 ++- openapi.json | 104 ++++++- requirements.txt | 4 + src/akkudoktoreos/core/dataabc.py | 82 ++++++ src/akkudoktoreos/core/pydantic.py | 4 + .../prediction/elecpriceimport.py | 3 + src/akkudoktoreos/prediction/loadimport.py | 3 + .../prediction/pvforecastimport.py | 3 + src/akkudoktoreos/prediction/weatherimport.py | 3 + src/akkudoktoreos/server/dash/__init__.py | 0 .../assets/favicon/android-chrome-192x192.png | Bin 0 -> 22724 bytes .../assets/favicon/android-chrome-512x512.png | Bin 0 -> 115111 bytes .../dash/assets/favicon/apple-touch-icon.png | Bin 0 -> 20319 bytes .../dash/assets/favicon/favicon-16x16.png | Bin 0 -> 724 bytes .../dash/assets/favicon/favicon-32x32.png | Bin 0 -> 1631 bytes .../server/dash/assets/favicon/favicon.ico | Bin 0 -> 15406 bytes .../dash/assets/favicon/site.webmanifest | 1 + src/akkudoktoreos/server/dash/assets/icon.png | Bin 0 -> 7675 bytes src/akkudoktoreos/server/dash/assets/logo.png | Bin 0 -> 12120 bytes src/akkudoktoreos/server/dash/bokeh.py | 38 +++ src/akkudoktoreos/server/dash/components.py | 170 ++++++++++++ .../server/dash/configuration.py | 242 +++++++++++++++++ .../server/dash/data/democonfig.json | 86 ++++++ src/akkudoktoreos/server/dash/demo.py | 217 +++++++++++++++ src/akkudoktoreos/server/dash/footer.py | 93 +++++++ src/akkudoktoreos/server/dash/hello.py | 24 ++ src/akkudoktoreos/server/dash/markdown.py | 136 ++++++++++ src/akkudoktoreos/server/eos.py | 177 +++++------- src/akkudoktoreos/server/eosdash.py | 254 ++++++++++-------- src/akkudoktoreos/server/rest/error.py | 91 +++++++ tests/test_eosdashserver.py | 61 +++-- 31 files changed, 1582 insertions(+), 252 deletions(-) create mode 100644 src/akkudoktoreos/server/dash/__init__.py create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/android-chrome-192x192.png create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/android-chrome-512x512.png create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/apple-touch-icon.png create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/favicon-16x16.png create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/favicon-32x32.png create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/favicon.ico create mode 100644 src/akkudoktoreos/server/dash/assets/favicon/site.webmanifest create mode 100644 src/akkudoktoreos/server/dash/assets/icon.png create mode 100644 src/akkudoktoreos/server/dash/assets/logo.png create mode 100644 src/akkudoktoreos/server/dash/bokeh.py create mode 100644 src/akkudoktoreos/server/dash/components.py create mode 100644 src/akkudoktoreos/server/dash/configuration.py create mode 100644 src/akkudoktoreos/server/dash/data/democonfig.json create mode 100644 src/akkudoktoreos/server/dash/demo.py create mode 100644 src/akkudoktoreos/server/dash/footer.py create mode 100644 src/akkudoktoreos/server/dash/hello.py create mode 100644 src/akkudoktoreos/server/dash/markdown.py create mode 100644 src/akkudoktoreos/server/rest/error.py diff --git a/docs/_generated/openapi.md b/docs/_generated/openapi.md index 4b8d1c96..47510bd0 100644 --- a/docs/_generated/openapi.md +++ b/docs/_generated/openapi.md @@ -332,7 +332,7 @@ Returns: Fastapi Config Reset Post ``` -Reset the configuration. +Reset the configuration to the EOS configuration file. Returns: configuration (ConfigEOS): The current configuration after update. @@ -640,6 +640,42 @@ Merge the measurement of given key and value into EOS measurements at given date --- +## GET /v1/prediction/dataframe + +**Links**: [local](http://localhost:8503/docs#/default/fastapi_prediction_dataframe_get_v1_prediction_dataframe_get), [eos](https://petstore3.swagger.io/?url=https://raw.githubusercontent.com/Akkudoktor-EOS/EOS/refs/heads/main/openapi.json#/default/fastapi_prediction_dataframe_get_v1_prediction_dataframe_get) + +Fastapi Prediction Dataframe Get + +``` +Get prediction for given key within given date range as series. + +Args: + key (str): Prediction key + start_datetime (Optional[str]): Starting datetime (inclusive). + Defaults to start datetime of latest prediction. + end_datetime (Optional[str]: Ending datetime (exclusive). + +Defaults to end datetime of latest prediction. +``` + +**Parameters**: + +- `keys` (query, required): Prediction keys. + +- `start_datetime` (query, optional): Starting datetime (inclusive). + +- `end_datetime` (query, optional): Ending datetime (exclusive). + +- `interval` (query, optional): Time duration for each interval. Defaults to 1 hour. + +**Responses**: + +- **200**: Successful Response + +- **422**: Validation Error + +--- + ## PUT /v1/prediction/import/{provider_id} **Links**: [local](http://localhost:8503/docs#/default/fastapi_prediction_import_provider_v1_prediction_import__provider_id__put), [eos](https://petstore3.swagger.io/?url=https://raw.githubusercontent.com/Akkudoktor-EOS/EOS/refs/heads/main/openapi.json#/default/fastapi_prediction_import_provider_v1_prediction_import__provider_id__put) diff --git a/openapi.json b/openapi.json index d426dadc..b88c4ea7 100644 --- a/openapi.json +++ b/openapi.json @@ -3279,7 +3279,7 @@ }, "/v1/config/reset": { "post": { - "description": "Reset the configuration.\n\nReturns:\n configuration (ConfigEOS): The current configuration after update.", + "description": "Reset the configuration to the EOS configuration file.\n\nReturns:\n configuration (ConfigEOS): The current configuration after update.", "operationId": "fastapi_config_reset_post_v1_config_reset_post", "responses": { "200": { @@ -3859,6 +3859,108 @@ ] } }, + "/v1/prediction/dataframe": { + "get": { + "description": "Get prediction for given key within given date range as series.\n\nArgs:\n key (str): Prediction key\n start_datetime (Optional[str]): Starting datetime (inclusive).\n Defaults to start datetime of latest prediction.\n end_datetime (Optional[str]: Ending datetime (exclusive).\n\nDefaults to end datetime of latest prediction.", + "operationId": "fastapi_prediction_dataframe_get_v1_prediction_dataframe_get", + "parameters": [ + { + "description": "Prediction keys.", + "in": "query", + "name": "keys", + "required": true, + "schema": { + "description": "Prediction keys.", + "items": { + "type": "string" + }, + "title": "Keys", + "type": "array" + } + }, + { + "description": "Starting datetime (inclusive).", + "in": "query", + "name": "start_datetime", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Starting datetime (inclusive).", + "title": "Start Datetime" + } + }, + { + "description": "Ending datetime (exclusive).", + "in": "query", + "name": "end_datetime", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Ending datetime (exclusive).", + "title": "End Datetime" + } + }, + { + "description": "Time duration for each interval. Defaults to 1 hour.", + "in": "query", + "name": "interval", + "required": false, + "schema": { + "anyOf": [ + { + "type": "string" + }, + { + "type": "null" + } + ], + "description": "Time duration for each interval. Defaults to 1 hour.", + "title": "Interval" + } + } + ], + "responses": { + "200": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/PydanticDateTimeDataFrame" + } + } + }, + "description": "Successful Response" + }, + "422": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/HTTPValidationError" + } + } + }, + "description": "Validation Error" + } + }, + "summary": "Fastapi Prediction Dataframe Get", + "tags": [ + "prediction" + ] + } + }, "/v1/prediction/import/{provider_id}": { "put": { "description": "Import prediction for given provider ID.\n\nArgs:\n provider_id: ID of provider to update.\n data: Prediction data.\n force_enable: Update data even if provider is disabled.\n Defaults to False.", diff --git a/requirements.txt b/requirements.txt index 98669307..13c8721e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,6 +4,10 @@ numpydantic==1.6.7 matplotlib==3.10.0 fastapi[standard]==0.115.7 python-fasthtml==0.12.0 +MonsterUI==0.0.29 +markdown-it-py==3.0.0 +mdit-py-plugins==0.4.2 +bokeh==3.6.3 uvicorn==0.34.0 scikit-learn==1.6.1 timezonefinder==6.5.8 diff --git a/src/akkudoktoreos/core/dataabc.py b/src/akkudoktoreos/core/dataabc.py index 5d40abce..a8321e00 100644 --- a/src/akkudoktoreos/core/dataabc.py +++ b/src/akkudoktoreos/core/dataabc.py @@ -1845,6 +1845,88 @@ def key_to_array( return array + def keys_to_dataframe( + self, + keys: list[str], + start_datetime: Optional[DateTime] = None, + end_datetime: Optional[DateTime] = None, + interval: Optional[Any] = None, # Duration assumed + fill_method: Optional[str] = None, + ) -> pd.DataFrame: + """Retrieve a dataframe indexed by fixed time intervals for specified keys from the data in each DataProvider. + + Generates a pandas DataFrame using the NumPy arrays for each specified key, ensuring a common time index.. + + Args: + keys (list[str]): A list of field names to retrieve. + start_datetime (datetime, optional): Start date for filtering records (inclusive). + end_datetime (datetime, optional): End date for filtering records (exclusive). + interval (duration, optional): The fixed time interval. Defaults to 1 hour. + fill_method (str, optional): Method to handle missing values during resampling. + - 'linear': Linearly interpolate missing values (for numeric data only). + - 'ffill': Forward fill missing values. + - 'bfill': Backward fill missing values. + - 'none': Defaults to 'linear' for numeric values, otherwise 'ffill'. + + Returns: + pd.DataFrame: A DataFrame where each column represents a key's array with a common time index. + + Raises: + KeyError: If no valid data is found for any of the requested keys. + ValueError: If any retrieved array has a different time index than the first one. + """ + # Ensure datetime objects are normalized + start_datetime = to_datetime(start_datetime, to_maxtime=False) if start_datetime else None + end_datetime = to_datetime(end_datetime, to_maxtime=False) if end_datetime else None + if interval is None: + interval = to_duration("1 hour") + if start_datetime is None: + # Take earliest datetime of all providers that are enabled + for provider in self.enabled_providers: + if start_datetime is None: + start_datetime = provider.min_datetime + elif ( + provider.min_datetime + and compare_datetimes(provider.min_datetime, start_datetime).lt + ): + start_datetime = provider.min_datetime + if end_datetime is None: + # Take latest datetime of all providers that are enabled + for provider in self.enabled_providers: + if end_datetime is None: + end_datetime = provider.max_datetime + elif ( + provider.max_datetime + and compare_datetimes(provider.max_datetime, end_datetime).gt + ): + end_datetime = provider.min_datetime + if end_datetime: + end_datetime.add(seconds=1) + + # Create a DatetimeIndex based on start, end, and interval + reference_index = pd.date_range( + start=start_datetime, end=end_datetime, freq=interval, inclusive="left" + ) + + data = {} + for key in keys: + try: + array = self.key_to_array(key, start_datetime, end_datetime, interval, fill_method) + + if len(array) != len(reference_index): + raise ValueError( + f"Array length mismatch for key '{key}' (expected {len(reference_index)}, got {len(array)})" + ) + + data[key] = array + except KeyError as e: + raise KeyError(f"Failed to retrieve data for key '{key}': {e}") + + if not data: + raise KeyError(f"No valid data found for the requested keys {keys}.") + + return pd.DataFrame(data, index=reference_index) + def provider_by_id(self, provider_id: str) -> DataProvider: """Retrieves a data provider by its unique identifier. diff --git a/src/akkudoktoreos/core/pydantic.py b/src/akkudoktoreos/core/pydantic.py index adf884af..99de8981 100644 --- a/src/akkudoktoreos/core/pydantic.py +++ b/src/akkudoktoreos/core/pydantic.py @@ -437,6 +437,10 @@ def to_dataframe(self) -> pd.DataFrame: index = pd.Index([to_datetime(dt, in_timezone=self.tz) for dt in df.index]) df.index = index + # Check if 'date_time' column exists, if not, create it + if "date_time" not in df.columns: + df["date_time"] = df.index + dtype_mapping = { "int": int, "float": float, diff --git a/src/akkudoktoreos/prediction/elecpriceimport.py b/src/akkudoktoreos/prediction/elecpriceimport.py index 1ec66842..cf34d767 100644 --- a/src/akkudoktoreos/prediction/elecpriceimport.py +++ b/src/akkudoktoreos/prediction/elecpriceimport.py @@ -63,6 +63,9 @@ def provider_id(cls) -> str: return "ElecPriceImport" def _update_data(self, force_update: Optional[bool] = False) -> None: + if self.config.elecprice.provider_settings is None: + logger.debug(f"{self.provider_id()} data update without provider settings.") + return if self.config.elecprice.provider_settings.import_file_path: self.import_from_file( self.config.elecprice.provider_settings.import_file_path, diff --git a/src/akkudoktoreos/prediction/loadimport.py b/src/akkudoktoreos/prediction/loadimport.py index 456107c9..dd54519d 100644 --- a/src/akkudoktoreos/prediction/loadimport.py +++ b/src/akkudoktoreos/prediction/loadimport.py @@ -62,6 +62,9 @@ def provider_id(cls) -> str: return "LoadImport" def _update_data(self, force_update: Optional[bool] = False) -> None: + if self.config.load.provider_settings is None: + logger.debug(f"{self.provider_id()} data update without provider settings.") + return if self.config.load.provider_settings.import_file_path: self.import_from_file(self.config.provider_settings.import_file_path, key_prefix="load") if self.config.load.provider_settings.import_json: diff --git a/src/akkudoktoreos/prediction/pvforecastimport.py b/src/akkudoktoreos/prediction/pvforecastimport.py index d04fb5eb..a093369c 100644 --- a/src/akkudoktoreos/prediction/pvforecastimport.py +++ b/src/akkudoktoreos/prediction/pvforecastimport.py @@ -63,6 +63,9 @@ def provider_id(cls) -> str: return "PVForecastImport" def _update_data(self, force_update: Optional[bool] = False) -> None: + if self.config.pvforecast.provider_settings is None: + logger.debug(f"{self.provider_id()} data update without provider settings.") + return if self.config.pvforecast.provider_settings.import_file_path is not None: self.import_from_file( self.config.pvforecast.provider_settings.import_file_path, diff --git a/src/akkudoktoreos/prediction/weatherimport.py b/src/akkudoktoreos/prediction/weatherimport.py index fa70003e..a0a5890b 100644 --- a/src/akkudoktoreos/prediction/weatherimport.py +++ b/src/akkudoktoreos/prediction/weatherimport.py @@ -63,6 +63,9 @@ def provider_id(cls) -> str: return "WeatherImport" def _update_data(self, force_update: Optional[bool] = False) -> None: + if self.config.weather.provider_settings is None: + logger.debug(f"{self.provider_id()} data update without provider settings.") + return if self.config.weather.provider_settings.import_file_path: self.import_from_file( self.config.weather.provider_settings.import_file_path, key_prefix="weather" diff --git a/src/akkudoktoreos/server/dash/__init__.py b/src/akkudoktoreos/server/dash/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/akkudoktoreos/server/dash/assets/favicon/android-chrome-192x192.png 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Defaults to vertical. + """ + new_cls = "relative overflow-hidden" + if cls: + new_cls += f" {stringify(cls)}" + kwargs["cls"] = new_cls + + content = Div( + Div(*c, style="min-width:100%;display:table;"), + style=f"overflow: {'hidden scroll' if orientation == 'vertical' else 'scroll'}; {scrollbar_viewport_styles}", + cls="w-full h-full rounded-[inherit]", + data_ref="viewport", + ) + + scrollbar = Div( + Div(cls="bg-border rounded-full hidden relative flex-1", data_ref="thumb"), + cls=f"{scrollbar_cls} flex-col h-2.5 w-full border-t border-t-transparent" + if orientation == "horizontal" + else f"{scrollbar_cls} w-2.5 h-full border-l border-l-transparent", + data_ref="scrollbar", + style=f"position: absolute;{'right:0; top:0;' if orientation == 'vertical' else 'bottom:0; left:0;'}", + ) + + return Div( + content, + scrollbar, + role="region", + tabindex="0", + data_orientation=orientation, + data_ref_scrollarea=True, + aria_label="Scrollable content", + **kwargs, + ) + + +def DashboardHeader(title: Optional[str]) -> Div: + """Creates a styled header with a title. + + Args: + title (Optional[str]): The title text for the header. + + Returns: + Div: A styled `Div` element containing the header. + """ + if title is None: + return Div("", cls="header") + return Div(H1(title, cls="text-2xl font-bold mb-4"), cls="header") + + +def DashboardFooter(*c: Any, path: str) -> Card: + """Creates a styled footer with the provided information. + + The footer content is reloaded every 5 seconds from path. + + Args: + path (str): Path to reload footer content from + + Returns: + Card: A styled `Card` element containing the footer. + """ + return Card( + Container(*c, id="footer-content"), + hx_get=f"{path}", + hx_trigger="every 5s", + hx_target="#footer-content", + hx_swap="innerHTML", + ) + + +def DashboardTrigger(*c: Any, cls: Optional[Union[str, tuple]] = None, **kwargs: Any) -> Button: + """Creates a styled button for the dashboard trigger. + + Args: + *c: Positional arguments to pass to the button. + cls (Optional[str]): Additional CSS classes for styling. Defaults to None. + **kwargs: Additional keyword arguments for the button. + + Returns: + Button: A styled `Button` component. + """ + new_cls = f"{ButtonT.primary}" + if cls: + new_cls += f" {stringify(cls)}" + kwargs["cls"] = new_cls + return Button(*c, submit=False, **kwargs) + + +def DashboardTabs(dashboard_items: dict[str, str]) -> Card: + """Creates a dashboard tab with dynamic dashboard items. + + Args: + dashboard_items (dict[str, str]): A dictionary of dashboard items where keys are item names + and values are paths for navigation. + + Returns: + Card: A styled `Card` component containing the dashboard tabs. + """ + dash_items = [ + Li( + DashboardTrigger( + menu, + hx_get=f"{path}", + hx_target="#page-content", + hx_swap="innerHTML", + ), + ) + for menu, path in dashboard_items.items() + ] + return Card(TabContainer(*dash_items, cls="gap-4"), alt=True) + + +def DashboardContent(content: Any) -> Card: + """Creates a content section within a styled card. + + Args: + content (Any): The content to display. + + Returns: + Card: A styled `Card` element containing the content. + """ + return Card(ScrollArea(Container(content, id="page-content"), cls="h-[75vh] w-full rounded-md")) + + +def Page( + title: Optional[str], + dashboard_items: dict[str, str], + content: Any, + footer_content: Any, + footer_path: str, +) -> Div: + """Generates a full-page layout with a header, dashboard items, content, and footer. + + Args: + title (Optional[str]): The page title. + dashboard_items (dict[str, str]): A dictionary of dashboard items. + content (Any): The main content for the page. + footer_content (Any): Footer content. + footer_path (Any): Path to reload footer content from. + + Returns: + Div: A `Div` element representing the entire page layout. + """ + return Container( + DashboardHeader(title), + DashboardTabs(dashboard_items), + DashboardContent(content), + DashboardFooter(footer_content, path=footer_path), + cls=("bg-background text-foreground w-screen p-4 space-y-4", ContainerT.xl), + ) diff --git a/src/akkudoktoreos/server/dash/configuration.py b/src/akkudoktoreos/server/dash/configuration.py new file mode 100644 index 00000000..cc43249d --- /dev/null +++ b/src/akkudoktoreos/server/dash/configuration.py @@ -0,0 +1,242 @@ +from typing import Any, Dict, List, Optional, Sequence, TypeVar, Union + +import requests +from monsterui.franken import Table, Tbody, Td, Th, Thead, Tr +from pydantic.fields import ComputedFieldInfo, FieldInfo +from pydantic_core import PydanticUndefined + +from akkudoktoreos.config.config import get_config +from akkudoktoreos.core.logging import get_logger +from akkudoktoreos.core.pydantic import PydanticBaseModel + +logger = get_logger(__name__) +config_eos = get_config() + +T = TypeVar("T") + + +def get_nested_value( + dictionary: Union[Dict[str, Any], List[Any]], + keys: Sequence[Union[str, int]], + default: Optional[T] = None, +) -> Union[Any, T]: + """Retrieve a nested value from a dictionary or list using a sequence of keys. + + Args: + dictionary (Union[Dict[str, Any], List[Any]]): The nested dictionary or list to search. + keys (Sequence[Union[str, int]]): A sequence of keys or indices representing the path to the desired value. + default (Optional[T]): A value to return if the path is not found. + + Returns: + Union[Any, T]: The value at the specified nested path, or the default value if not found. + + Raises: + TypeError: If the input is not a dictionary or list, or if keys are not a sequence. + KeyError: If a key is not found in a dictionary. + IndexError: If an index is out of range in a list. + """ + if not isinstance(dictionary, (dict, list)): + raise TypeError("The first argument must be a dictionary or list") + if not isinstance(keys, Sequence): + raise TypeError("Keys must be provided as a sequence (e.g., list, tuple)") + + if not keys: + return dictionary + + try: + # Traverse the structure + current = dictionary + for key in keys: + if isinstance(current, dict) and isinstance(key, str): + current = current[key] + elif isinstance(current, list) and isinstance(key, int): + current = current[key] + else: + raise KeyError(f"Invalid key or index: {key}") + return current + except (KeyError, IndexError, TypeError): + return default + + +def get_default_value(field_info: Union[FieldInfo, ComputedFieldInfo], regular_field: bool) -> Any: + """Retrieve the default value of a field. + + Args: + field_info (Union[FieldInfo, ComputedFieldInfo]): The field metadata from Pydantic. + regular_field (bool): Indicates if the field is a regular field. + + Returns: + Any: The default value of the field or "N/A" if not a regular field. + """ + default_value = "" + if regular_field: + if (val := field_info.default) is not PydanticUndefined: + default_value = val + else: + default_value = "N/A" + return default_value + + +def resolve_nested_types(field_type: Any, parent_types: list[str]) -> list[tuple[Any, list[str]]]: + """Resolve nested types within a field and return their structure. + + Args: + field_type (Any): The type of the field to resolve. + parent_types (List[str]): A list of parent type names. + + Returns: + List[tuple[Any, List[str]]]: A list of tuples containing resolved types and their parent hierarchy. + """ + resolved_types: list[tuple[Any, list[str]]] = [] + + origin = getattr(field_type, "__origin__", field_type) + if origin is Union: + for arg in getattr(field_type, "__args__", []): + if arg is not type(None): + resolved_types.extend(resolve_nested_types(arg, parent_types)) + else: + resolved_types.append((field_type, parent_types)) + + return resolved_types + + +def configuration(values: dict) -> list[dict]: + """Generate configuration details based on provided values and model metadata. + + Args: + values (dict): A dictionary containing the current configuration values. + + Returns: + List[dict]: A sorted list of configuration details, each represented as a dictionary. + """ + configs = [] + inner_types: set[type[PydanticBaseModel]] = set() + + for field_name, field_info in list(config_eos.model_fields.items()) + list( + config_eos.model_computed_fields.items() + ): + + def extract_nested_models( + subfield_info: Union[ComputedFieldInfo, FieldInfo], parent_types: list[str] + ) -> None: + regular_field = isinstance(subfield_info, FieldInfo) + subtype = subfield_info.annotation if regular_field else subfield_info.return_type + + if subtype in inner_types: + return + + nested_types = resolve_nested_types(subtype, []) + found_basic = False + for nested_type, nested_parent_types in nested_types: + if not isinstance(nested_type, type) or not issubclass( + nested_type, PydanticBaseModel + ): + if found_basic: + continue + + config = {} + config["name"] = ".".join(parent_types) + config["value"] = str(get_nested_value(values, parent_types, "")) + config["default"] = str(get_default_value(subfield_info, regular_field)) + config["description"] = ( + subfield_info.description if subfield_info.description else "" + ) + if isinstance(subfield_info, ComputedFieldInfo): + config["read-only"] = "ro" + type_description = str(subfield_info.return_type) + else: + config["read-only"] = "rw" + type_description = str(subfield_info.annotation) + config["type"] = ( + type_description.replace("typing.", "") + .replace("pathlib.", "") + .replace("[", "[ ") + .replace("NoneType", "None") + ) + configs.append(config) + found_basic = True + else: + new_parent_types = parent_types + nested_parent_types + inner_types.add(nested_type) + for nested_field_name, nested_field_info in list( + nested_type.model_fields.items() + ) + list(nested_type.model_computed_fields.items()): + extract_nested_models( + nested_field_info, + new_parent_types + [nested_field_name], + ) + + extract_nested_models(field_info, [field_name]) + return sorted(configs, key=lambda x: x["name"]) + + +def get_configuration(eos_host: Optional[str], eos_port: Optional[Union[str, int]]) -> list[dict]: + """Fetch and process configuration data from the specified EOS server. + + Args: + eos_host (Optional[str]): The hostname of the server. + eos_port (Optional[Union[str, int]]): The port of the server. + + Returns: + List[dict]: A list of processed configuration entries. + """ + if eos_host is None: + eos_host = config_eos.server.host + if eos_port is None: + eos_port = config_eos.server.port + server = f"http://{eos_host}:{eos_port}" + + # Get current configuration from server + try: + result = requests.get(f"{server}/v1/config") + result.raise_for_status() + except requests.exceptions.HTTPError as e: + detail = result.json()["detail"] + warning_msg = f"Can not retrieve configuration from {server}: {e}, {detail}" + logger.warning(warning_msg) + return configuration({}) + config = result.json() + + return configuration(config) + + +def Configuration(eos_host: Optional[str], eos_port: Optional[Union[str, int]]) -> Table: + """Create a visual representation of the configuration. + + Args: + eos_host (Optional[str]): The hostname of the EOS server. + eos_port (Optional[Union[str, int]]): The port of the EOS server. + + Returns: + Table: A `monsterui.franken.Table` component displaying configuration details. + """ + flds = "Name", "Type", "RO/RW", "Value", "Default", "Description" + rows = [ + Tr( + Td( + config["name"], + cls="max-w-64 text-wrap break-all", + ), + Td( + config["type"], + cls="max-w-48 text-wrap break-all", + ), + Td( + config["read-only"], + cls="max-w-24 text-wrap break-all", + ), + Td( + config["value"], + cls="max-w-md text-wrap break-all", + ), + Td(config["default"], cls="max-w-48 text-wrap break-all"), + Td( + config["description"], + cls="max-w-prose text-wrap", + ), + cls="", + ) + for config in get_configuration(eos_host, eos_port) + ] + head = Thead(*map(Th, flds), cls="text-left") + return Table(head, Tbody(*rows), cls="w-full uk-table uk-table-divider uk-table-striped") diff --git a/src/akkudoktoreos/server/dash/data/democonfig.json b/src/akkudoktoreos/server/dash/data/democonfig.json new file mode 100644 index 00000000..d37bf756 --- /dev/null +++ b/src/akkudoktoreos/server/dash/data/democonfig.json @@ -0,0 +1,86 @@ +{ + "elecprice": { + "charges_kwh": 0.21, + "provider": "ElecPriceAkkudoktor" + }, + "general": { + "latitude": 52.5, + "longitude": 13.4 + }, + "prediction": { + "historic_hours": 48, + "hours": 48 + }, + "load": { + "provider": "LoadAkkudoktor", + "provider_settings": { + "loadakkudoktor_year_energy": 20000 + } + }, + "optimization": { + "hours": 48 + }, + "pvforecast": { + "planes": [ + { + "peakpower": 5.0, + "surface_azimuth": -10, + "surface_tilt": 7, + "userhorizon": [ + 20, + 27, + 22, + 20 + ], + "inverter_paco": 10000 + }, + { + "peakpower": 4.8, + "surface_azimuth": -90, + "surface_tilt": 7, + "userhorizon": [ + 30, + 30, + 30, + 50 + ], + "inverter_paco": 10000 + }, + { + "peakpower": 1.4, + "surface_azimuth": -40, + "surface_tilt": 60, + "userhorizon": [ + 60, + 30, + 0, + 30 + ], + "inverter_paco": 2000 + }, + { + "peakpower": 1.6, + "surface_azimuth": 5, + "surface_tilt": 45, + "userhorizon": [ + 45, + 25, + 30, + 60 + ], + "inverter_paco": 1400 + } + ], + "provider": "PVForecastAkkudoktor" + }, + "server": { + "startup_eosdash": true, + "host": "0.0.0.0", + "port": 8503, + "eosdash_host": "0.0.0.0", + "eosdash_port": 8504 + }, + "weather": { + "provider": "BrightSky" + } +} diff --git a/src/akkudoktoreos/server/dash/demo.py b/src/akkudoktoreos/server/dash/demo.py new file mode 100644 index 00000000..e967ea23 --- /dev/null +++ b/src/akkudoktoreos/server/dash/demo.py @@ -0,0 +1,217 @@ +import json +from pathlib import Path +from typing import Union + +import pandas as pd +import requests +from bokeh.models import ColumnDataSource, Range1d +from bokeh.plotting import figure +from monsterui.franken import FT, Grid, P + +from akkudoktoreos.core.logging import get_logger +from akkudoktoreos.core.pydantic import PydanticDateTimeDataFrame +from akkudoktoreos.server.dash.bokeh import Bokeh + +DIR_DEMODATA = Path(__file__).absolute().parent.joinpath("data") +FILE_DEMOCONFIG = DIR_DEMODATA.joinpath("democonfig.json") +if not FILE_DEMOCONFIG.exists(): + raise ValueError(f"File does not exist: {FILE_DEMOCONFIG}") + +logger = get_logger(__name__) + +# bar width for 1 hour bars (time given in millseconds) +BAR_WIDTH_1HOUR = 1000 * 60 * 60 + + +def DemoPVForecast(predictions: pd.DataFrame, config: dict) -> FT: + source = ColumnDataSource(predictions) + provider = config["pvforecast"]["provider"] + + plot = figure( + x_axis_type="datetime", + title=f"PV Power Prediction ({provider})", + x_axis_label="Datetime", + y_axis_label="Power [W]", + sizing_mode="stretch_width", + height=400, + ) + + plot.vbar( + x="date_time", + top="pvforecast_ac_power", + source=source, + width=BAR_WIDTH_1HOUR * 0.8, + legend_label="AC Power", + color="lightblue", + ) + + return Bokeh(plot) + + +def DemoElectricityPriceForecast(predictions: pd.DataFrame, config: dict) -> FT: + source = ColumnDataSource(predictions) + provider = config["elecprice"]["provider"] + + plot = figure( + x_axis_type="datetime", + y_range=Range1d( + predictions["elecprice_marketprice_kwh"].min() - 0.1, + predictions["elecprice_marketprice_kwh"].max() + 0.1, + ), + title=f"Electricity Price Prediction ({provider})", + x_axis_label="Datetime", + y_axis_label="Price [€/kWh]", + sizing_mode="stretch_width", + height=400, + ) + plot.vbar( + x="date_time", + top="elecprice_marketprice_kwh", + source=source, + width=BAR_WIDTH_1HOUR * 0.8, + legend_label="Market Price", + color="lightblue", + ) + + return Bokeh(plot) + + +def DemoWeatherTempAir(predictions: pd.DataFrame, config: dict) -> FT: + source = ColumnDataSource(predictions) + provider = config["weather"]["provider"] + + plot = figure( + x_axis_type="datetime", + y_range=Range1d( + predictions["weather_temp_air"].min() - 1.0, predictions["weather_temp_air"].max() + 1.0 + ), + title=f"Air Temperature Prediction ({provider})", + x_axis_label="Datetime", + y_axis_label="Temperature [°C]", + sizing_mode="stretch_width", + height=400, + ) + plot.line( + "date_time", "weather_temp_air", source=source, legend_label="Air Temperature", color="blue" + ) + + return Bokeh(plot) + + +def DemoWeatherIrradiance(predictions: pd.DataFrame, config: dict) -> FT: + source = ColumnDataSource(predictions) + provider = config["weather"]["provider"] + + plot = figure( + x_axis_type="datetime", + title=f"Irradiance Prediction ({provider})", + x_axis_label="Datetime", + y_axis_label="Irradiance [W/m2]", + sizing_mode="stretch_width", + height=400, + ) + plot.line( + "date_time", + "weather_ghi", + source=source, + legend_label="Global Horizontal Irradiance", + color="red", + ) + plot.line( + "date_time", + "weather_dni", + source=source, + legend_label="Direct Normal Irradiance", + color="green", + ) + plot.line( + "date_time", + "weather_dhi", + source=source, + legend_label="Diffuse Horizontal Irradiance", + color="blue", + ) + + return Bokeh(plot) + + +def Demo(eos_host: str, eos_port: Union[str, int]) -> str: + server = f"http://{eos_host}:{eos_port}" + + # Get current configuration from server + try: + result = requests.get(f"{server}/v1/config") + result.raise_for_status() + except requests.exceptions.HTTPError as err: + detail = result.json()["detail"] + return P( + f"Can not retrieve configuration from {server}: {err}, {detail}", + cls="text-center", + ) + config = result.json() + + # Set demo configuration + with FILE_DEMOCONFIG.open("r", encoding="utf-8") as fd: + democonfig = json.load(fd) + try: + result = requests.put(f"{server}/v1/config", json=democonfig) + result.raise_for_status() + except requests.exceptions.HTTPError as err: + detail = result.json()["detail"] + # Try to reset to original config + requests.put(f"{server}/v1/config", json=config) + return P( + f"Can not set demo configuration on {server}: {err}, {detail}", + cls="text-center", + ) + + # Update all predictions + try: + result = requests.post(f"{server}/v1/prediction/update") + result.raise_for_status() + except requests.exceptions.HTTPError as err: + detail = result.json()["detail"] + # Try to reset to original config + requests.put(f"{server}/v1/config", json=config) + return P( + f"Can not update predictions on {server}: {err}, {detail}", + cls="text-center", + ) + + # Get Forecasts + try: + params = { + "keys": [ + "pvforecast_ac_power", + "elecprice_marketprice_kwh", + "weather_temp_air", + "weather_ghi", + "weather_dni", + "weather_dhi", + ], + } + result = requests.get(f"{server}/v1/prediction/dataframe", params=params) + result.raise_for_status() + predictions = PydanticDateTimeDataFrame(**result.json()).to_dataframe() + except requests.exceptions.HTTPError as err: + detail = result.json()["detail"] + return P( + f"Can not retrieve predictions from {server}: {err}, {detail}", + cls="text-center", + ) + except Exception as err: + return P( + f"Can not retrieve predictions from {server}: {err}", + cls="text-center", + ) + + # Reset to original config + requests.put(f"{server}/v1/config", json=config) + + return Grid( + DemoPVForecast(predictions, democonfig), + DemoElectricityPriceForecast(predictions, democonfig), + DemoWeatherTempAir(predictions, democonfig), + DemoWeatherIrradiance(predictions, democonfig), + cols_max=2, + ) diff --git a/src/akkudoktoreos/server/dash/footer.py b/src/akkudoktoreos/server/dash/footer.py new file mode 100644 index 00000000..b20142d3 --- /dev/null +++ b/src/akkudoktoreos/server/dash/footer.py @@ -0,0 +1,93 @@ +from typing import Optional, Union + +import requests +from fasthtml.common import A, P +from monsterui.daisy import Loading, LoadingT +from monsterui.franken import ButtonT, DivFullySpaced +from requests.exceptions import RequestException + +from akkudoktoreos.config.config import get_config +from akkudoktoreos.core.logging import get_logger + +logger = get_logger(__name__) +config_eos = get_config() + + +def get_alive(eos_host: str, eos_port: Union[str, int]) -> str: + """Fetch alive information from the specified EOS server. + + Args: + eos_host (str): The hostname of the server. + eos_port (Union[str, int]): The port of the server. + + Returns: + str: Alive data. + """ + result = requests.Response() + try: + result = requests.get(f"http://{eos_host}:{eos_port}/v1/health") + if result.status_code == 200: + alive = result.json()["status"] + else: + alive = f"Server responded with status code: {result.status_code}" + except RequestException as e: + warning_msg = f"{e}" + logger.warning(warning_msg) + alive = warning_msg + + return alive + + +def Footer(eos_host: Optional[str], eos_port: Optional[Union[str, int]]) -> str: + if eos_host is None: + eos_host = config_eos.server.host + if eos_port is None: + eos_port = config_eos.server.port + alive_icon = None + if eos_host is None or eos_port is None: + alive = "EOS server not given: {eos_host}:{eos_port}" + else: + alive = get_alive(eos_host, eos_port) + if alive == "alive": + alive_icon = Loading( + cls=( + LoadingT.ring, + LoadingT.sm, + ), + ) + alive = f"EOS {eos_host}:{eos_port}" + if alive_icon: + alive_cls = f"{ButtonT.primary} uk-link rounded-md" + else: + alive_cls = f"{ButtonT.secondary} uk-link rounded-md" + return DivFullySpaced( + P( + alive_icon, + A(alive, href=f"http://{eos_host}:{eos_port}/docs", target="_blank", cls=alive_cls), + ), + P( + A( + "Documentation", + href="https://akkudoktor-eos.readthedocs.io/en/latest/", + target="_blank", + cls="uk-link", + ), + ), + P( + A( + "Issues", + href="https://github.com/Akkudoktor-EOS/EOS/issues", + target="_blank", + cls="uk-link", + ), + ), + P( + A( + "GitHub", + href="https://github.com/Akkudoktor-EOS/EOS/", + target="_blank", + cls="uk-link", + ), + ), + cls="uk-padding-remove-top uk-padding-remove-botton", + ) diff --git a/src/akkudoktoreos/server/dash/hello.py b/src/akkudoktoreos/server/dash/hello.py new file mode 100644 index 00000000..997a5457 --- /dev/null +++ b/src/akkudoktoreos/server/dash/hello.py @@ -0,0 +1,24 @@ +from typing import Any + +from fasthtml.common import Div + +from akkudoktoreos.server.dash.markdown import Markdown + +hello_md = """![Logo](/eosdash/assets/logo.png) + +# Akkudoktor EOSdash + +The dashboard for Akkudoktor EOS. + +EOS provides a comprehensive solution for simulating and optimizing an energy system based +on renewable energy sources. With a focus on photovoltaic (PV) systems, battery storage (batteries), +load management (consumer requirements), heat pumps, electric vehicles, and consideration of +electricity price data, this system enables forecasting and optimization of energy flow and costs +over a specified period. + +Documentation can be found at [Akkudoktor-EOS](https://akkudoktor-eos.readthedocs.io/en/latest/). +""" + + +def Hello(**kwargs: Any) -> Div: + return Markdown(hello_md, **kwargs) diff --git a/src/akkudoktoreos/server/dash/markdown.py b/src/akkudoktoreos/server/dash/markdown.py new file mode 100644 index 00000000..24b66b3d --- /dev/null +++ b/src/akkudoktoreos/server/dash/markdown.py @@ -0,0 +1,136 @@ +"""Markdown rendering with MonsterUI HTML classes.""" + +from typing import Any, List, Optional, Union + +from fasthtml.common import FT, Div, NotStr +from markdown_it import MarkdownIt +from markdown_it.renderer import RendererHTML +from markdown_it.token import Token +from monsterui.foundations import stringify + + +def render_heading( + self: RendererHTML, tokens: List[Token], idx: int, options: dict, env: dict +) -> str: + """Custom renderer for Markdown headings. + + Adds specific CSS classes based on the heading level. + + Parameters: + self: The renderer instance. + tokens: List of tokens to be rendered. + idx: Index of the current token. + options: Rendering options. + env: Environment sandbox for plugins. + + Returns: + The rendered token as a string. + """ + if tokens[idx].markup == "#": + tokens[idx].attrSet("class", "uk-heading-divider uk-h1 uk-margin") + elif tokens[idx].markup == "##": + tokens[idx].attrSet("class", "uk-heading-divider uk-h2 uk-margin") + elif tokens[idx].markup == "###": + tokens[idx].attrSet("class", "uk-heading-divider uk-h3 uk-margin") + elif tokens[idx].markup == "####": + tokens[idx].attrSet("class", "uk-heading-divider uk-h4 uk-margin") + + # pass token to default renderer. + return self.renderToken(tokens, idx, options, env) + + +def render_paragraph( + self: RendererHTML, tokens: List[Token], idx: int, options: dict, env: dict +) -> str: + """Custom renderer for Markdown paragraphs. + + Adds specific CSS classes. + + Parameters: + self: The renderer instance. + tokens: List of tokens to be rendered. + idx: Index of the current token. + options: Rendering options. + env: Environment sandbox for plugins. + + Returns: + The rendered token as a string. + """ + tokens[idx].attrSet("class", "uk-paragraph") + + # pass token to default renderer. + return self.renderToken(tokens, idx, options, env) + + +def render_blockquote( + self: RendererHTML, tokens: List[Token], idx: int, options: dict, env: dict +) -> str: + """Custom renderer for Markdown blockquotes. + + Adds specific CSS classes. + + Parameters: + self: The renderer instance. + tokens: List of tokens to be rendered. + idx: Index of the current token. + options: Rendering options. + env: Environment sandbox for plugins. + + Returns: + The rendered token as a string. + """ + tokens[idx].attrSet("class", "uk-blockquote") + + # pass token to default renderer. + return self.renderToken(tokens, idx, options, env) + + +def render_link(self: RendererHTML, tokens: List[Token], idx: int, options: dict, env: dict) -> str: + """Custom renderer for Markdown links. + + Adds the target attribute to open links in a new tab. + + Parameters: + self: The renderer instance. + tokens: List of tokens to be rendered. + idx: Index of the current token. + options: Rendering options. + env: Environment sandbox for plugins. + + Returns: + The rendered token as a string. + """ + tokens[idx].attrSet("class", "uk-link") + tokens[idx].attrSet("target", "_blank") + + # pass token to default renderer. + return self.renderToken(tokens, idx, options, env) + + +markdown = MarkdownIt("gfm-like") +markdown.add_render_rule("heading_open", render_heading) +markdown.add_render_rule("paragraph_open", render_paragraph) +markdown.add_render_rule("blockquote_open", render_blockquote) +markdown.add_render_rule("link_open", render_link) + + +markdown_cls = "bg-background text-lg ring-offset-background placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50" + + +def Markdown(*c: Any, cls: Optional[Union[str, tuple]] = None, **kwargs: Any) -> FT: + """Component to render Markdown content with custom styling. + + Parameters: + c: Markdown content to be rendered. + cls: Optional additional CSS classes to be added. + kwargs: Additional keyword arguments for the Div component. + + Returns: + An FT object representing the rendered HTML content wrapped in a Div component. + """ + new_cls = markdown_cls + if cls: + new_cls += f" {stringify(cls)}" + kwargs["cls"] = new_cls + md_html = markdown.render(*c) + return Div(NotStr(md_html), **kwargs) diff --git a/src/akkudoktoreos/server/eos.py b/src/akkudoktoreos/server/eos.py index 489931e4..a91e62b1 100755 --- a/src/akkudoktoreos/server/eos.py +++ b/src/akkudoktoreos/server/eos.py @@ -45,6 +45,7 @@ from akkudoktoreos.prediction.loadakkudoktor import LoadAkkudoktorCommonSettings from akkudoktoreos.prediction.prediction import PredictionCommonSettings, get_prediction from akkudoktoreos.prediction.pvforecast import PVForecastCommonSettings +from akkudoktoreos.server.rest.error import create_error_page from akkudoktoreos.server.rest.tasks import repeat_every from akkudoktoreos.utils.datetimeutil import to_datetime, to_duration @@ -57,98 +58,6 @@ # Command line arguments args = None -ERROR_PAGE_TEMPLATE = """ - - - - - - Energy Optimization System (EOS) Error - - - -     - - -""" - - -def create_error_page( - status_code: str, error_title: str, error_message: str, error_details: str -) -> str: - """Create an error page by replacing placeholders in the template.""" - return ( - ERROR_PAGE_TEMPLATE.replace("STATUS_CODE", status_code) - .replace("ERROR_TITLE", error_title) - .replace("ERROR_MESSAGE", error_message) - .replace("ERROR_DETAILS", error_details) - ) - # ---------------------- # EOSdash server startup @@ -186,14 +95,16 @@ def start_eosdash() -> subprocess.Popen: psutil.process_iter.cache_clear() for retries in range(2): for p in psutil.process_iter(["name", "cmdline"]): - for arg in p.info["cmdline"]: - if arg.endswith("akkudoktoreos/server/eosdash.py") or arg.endswith( - "akkudoktoreos.server.eosdash" - ): - pid = p.pid - cmdline = p.info["cmdline"] - logger.warning(f"EOS can not start EOSdash, `{pid}` already running: {cmdline}") - return p + cmdline = p.info["cmdline"] + if cmdline: + for arg in cmdline: + if arg.endswith("akkudoktoreos/server/eosdash.py") or arg.endswith( + "akkudoktoreos.server.eosdash" + ): + logger.warning( + f"EOS can not start EOSdash, `{p.pid}` already running: {cmdline}" + ) + return p cmd = [ sys.executable, @@ -298,9 +209,6 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: ) -server_dir = Path(__file__).parent.resolve() - - class PdfResponse(FileResponse): media_type = "application/pdf" @@ -375,7 +283,7 @@ def fastapi_health_get(): # type: ignore @app.post("/v1/config/reset", tags=["config"]) def fastapi_config_reset_post() -> ConfigEOS: - """Reset the configuration. + """Reset the configuration to the EOS configuration file. Returns: configuration (ConfigEOS): The current configuration after update. @@ -664,6 +572,49 @@ def fastapi_prediction_series_get( return PydanticDateTimeSeries.from_series(pdseries) +@app.get("/v1/prediction/dataframe", tags=["prediction"]) +def fastapi_prediction_dataframe_get( + keys: Annotated[list[str], Query(description="Prediction keys.")], + start_datetime: Annotated[ + Optional[str], + Query(description="Starting datetime (inclusive)."), + ] = None, + end_datetime: Annotated[ + Optional[str], + Query(description="Ending datetime (exclusive)."), + ] = None, + interval: Annotated[ + Optional[str], + Query(description="Time duration for each interval. Defaults to 1 hour."), + ] = None, +) -> PydanticDateTimeDataFrame: + """Get prediction for given key within given date range as series. + + Args: + key (str): Prediction key + start_datetime (Optional[str]): Starting datetime (inclusive). + Defaults to start datetime of latest prediction. + end_datetime (Optional[str]: Ending datetime (exclusive). + + Defaults to end datetime of latest prediction. + """ + for key in keys: + if key not in prediction_eos.record_keys: + raise HTTPException(status_code=404, detail=f"Key '{key}' is not available.") + if start_datetime is None: + start_datetime = prediction_eos.start_datetime + else: + start_datetime = to_datetime(start_datetime) + if end_datetime is None: + end_datetime = prediction_eos.end_datetime + else: + end_datetime = to_datetime(end_datetime) + df = prediction_eos.keys_to_dataframe( + keys=keys, start_datetime=start_datetime, end_datetime=end_datetime, interval=interval + ) + return PydanticDateTimeDataFrame.from_dataframe(df, tz=config_eos.general.timezone) + + @app.get("/v1/prediction/list", tags=["prediction"]) def fastapi_prediction_list_get( key: Annotated[str, Query(description="Prediction key.")], @@ -1172,14 +1123,16 @@ def run_eos(host: str, port: int, log_level: str, access_log: bool, reload: bool psutil.process_iter.cache_clear() for retries in range(10): for p in psutil.process_iter(["name", "cmdline"]): - for arg in p.info["cmdline"]: - if arg.endswith("akkudoktoreos/server/eos.py") or arg.endswith( - "akkudoktoreos.server.eos" - ): - if p.pid != psutil.Process().pid: - # This is not our pid - logger.warning(f"EOS `{p.pid}` already running: {p.info["cmdline"]}") - return + cmdline = p.info["cmdline"] + if cmdline: + for arg in cmdline: + if arg.endswith("akkudoktoreos/server/eos.py") or arg.endswith( + "akkudoktoreos.server.eos" + ): + if p.pid != psutil.Process().pid: + # This is not our pid + logger.warning(f"EOS `{p.pid}` already running: {cmdline}") + return try: uvicorn.run( diff --git a/src/akkudoktoreos/server/eosdash.py b/src/akkudoktoreos/server/eosdash.py index 72df32fd..51765e49 100644 --- a/src/akkudoktoreos/server/eosdash.py +++ b/src/akkudoktoreos/server/eosdash.py @@ -1,126 +1,144 @@ import argparse import os import sys -from functools import reduce -from typing import Any, Union +import traceback +from pathlib import Path +from typing import Optional import psutil import uvicorn -from fasthtml.common import H1, Table, Td, Th, Thead, Titled, Tr, fast_app -from fasthtml.starlette import JSONResponse -from pydantic.fields import ComputedFieldInfo, FieldInfo -from pydantic_core import PydanticUndefined +from fasthtml.common import FileResponse, JSONResponse +from monsterui.core import FastHTML, Theme from akkudoktoreos.config.config import get_config from akkudoktoreos.core.logging import get_logger -from akkudoktoreos.core.pydantic import PydanticBaseModel +from akkudoktoreos.server.dash.bokeh import BokehJS +from akkudoktoreos.server.dash.components import Page -logger = get_logger(__name__) +# Pages +from akkudoktoreos.server.dash.configuration import Configuration +from akkudoktoreos.server.dash.demo import Demo +from akkudoktoreos.server.dash.footer import Footer +from akkudoktoreos.server.dash.hello import Hello + +# from akkudoktoreos.server.dash.altair import AltairJS +logger = get_logger(__name__) config_eos = get_config() +# The favicon for EOSdash +favicon_filepath = Path(__file__).parent.joinpath("dash/assets/favicon/favicon.ico") +if not favicon_filepath.exists(): + raise ValueError(f"Does not exist {favicon_filepath}") + # Command line arguments -args = None +args: Optional[argparse.Namespace] = None -def get_default_value(field_info: Union[FieldInfo, ComputedFieldInfo], regular_field: bool) -> Any: - default_value = "" - if regular_field: - if (val := field_info.default) is not PydanticUndefined: - default_value = val - else: - default_value = "N/A" - return default_value +# Get frankenui and tailwind headers via CDN using Theme.green.headers() +# Add altair headers +# hdrs=(Theme.green.headers(highlightjs=True), AltairJS,) +hdrs = ( + Theme.green.headers(highlightjs=True), + BokehJS, +) + +# The EOSdash application +app: FastHTML = FastHTML( + title="EOSdash", + hdrs=hdrs, + secret_key=os.getenv("EOS_SERVER__EOSDASH_SESSKEY"), +) -def resolve_nested_types(field_type: Any, parent_types: list[str]) -> list[tuple[Any, list[str]]]: - resolved_types: list[tuple[Any, list[str]]] = [] +def eos_server() -> tuple[str, int]: + """Retrieves the EOS server host and port configuration. - origin = getattr(field_type, "__origin__", field_type) - if origin is Union: - for arg in getattr(field_type, "__args__", []): - if arg is not type(None): - resolved_types.extend(resolve_nested_types(arg, parent_types)) + If `args` is provided, it uses the `eos_host` and `eos_port` from `args`. + Otherwise, it falls back to the values from `config_eos.server`. + + Returns: + tuple[str, int]: A tuple containing: + - `eos_host` (str): The EOS server hostname or IP. + - `eos_port` (int): The EOS server port. + """ + if args is None: + eos_host = str(config_eos.server.host) + eos_port = config_eos.server.port else: - resolved_types.append((field_type, parent_types)) - - return resolved_types - - -configs = [] -inner_types: set[type[PydanticBaseModel]] = set() -for field_name, field_info in list(config_eos.model_fields.items()) + list( - config_eos.model_computed_fields.items() -): - - def extract_nested_models( - subfield_info: Union[ComputedFieldInfo, FieldInfo], parent_types: list[str] - ) -> None: - regular_field = isinstance(subfield_info, FieldInfo) - subtype = subfield_info.annotation if regular_field else subfield_info.return_type - - if subtype in inner_types: - return - - nested_types = resolve_nested_types(subtype, []) - found_basic = False - for nested_type, nested_parent_types in nested_types: - if not isinstance(nested_type, type) or not issubclass(nested_type, PydanticBaseModel): - if found_basic: - continue - - config = {} - config["name"] = ".".join(parent_types) - try: - config["value"] = reduce(getattr, [config_eos] + parent_types) - except AttributeError: - # Parent value(s) are not set in current config - config["value"] = "" - config["default"] = get_default_value(subfield_info, regular_field) - config["description"] = ( - subfield_info.description if subfield_info.description else "" - ) - configs.append(config) - found_basic = True - else: - new_parent_types = parent_types + nested_parent_types - inner_types.add(nested_type) - for nested_field_name, nested_field_info in list( - nested_type.model_fields.items() - ) + list(nested_type.model_computed_fields.items()): - extract_nested_models( - nested_field_info, - new_parent_types + [nested_field_name], - ) - - extract_nested_models(field_info, [field_name]) -configs = sorted(configs, key=lambda x: x["name"]) - - -app, rt = fast_app( - secret_key=os.getenv("EOS_SERVER__EOSDASH_SESSKEY"), -) + eos_host = args.eos_host + eos_port = args.eos_port + if eos_host is None: + eos_host = "0.0.0.0" + if eos_port is None: + eos_port = 8503 + return eos_host, eos_port -def config_table() -> Table: - rows = [ - Tr( - Td(config["name"]), - Td(config["value"]), - Td(config["default"]), - Td(config["description"]), - cls="even:bg-purple/5", - ) - for config in configs - ] - flds = "Name", "Value", "Default", "Description" - head = Thead(*map(Th, flds), cls="bg-purple/10") - return Table(head, *rows, cls="w-full") +@app.get("/favicon.ico") +def get_eosdash_favicon(): # type: ignore + """Get favicon.""" + return FileResponse(path=favicon_filepath) -@rt("/") -def get(): # type: ignore - return Titled("EOS Dashboard", H1("Configuration"), config_table()) +@app.get("/") +def get_eosdash(): # type: ignore + """Serves the main EOSdash page. + + Returns: + Page: The main dashboard page with navigation links and footer. + """ + return Page( + None, + { + "EOSdash": "/eosdash/hello", + "Config": "/eosdash/configuration", + "Demo": "/eosdash/demo", + }, + Hello(), + Footer(*eos_server()), + "/eosdash/footer", + ) + + +@app.get("/eosdash/footer") +def get_eosdash_footer(): # type: ignore + """Serves the EOSdash Foooter information. + + Returns: + Footer: The Footer component. + """ + return Footer(*eos_server()) + + +@app.get("/eosdash/hello") +def get_eosdash_hello(): # type: ignore + """Serves the EOSdash Hello page. + + Returns: + Hello: The Hello page component. + """ + return Hello() + + +@app.get("/eosdash/configuration") +def get_eosdash_configuration(): # type: ignore + """Serves the EOSdash Configuration page. + + Returns: + Configuration: The Configuration page component. + """ + return Configuration(*eos_server()) + + +@app.get("/eosdash/demo") +def get_eosdash_demo(): # type: ignore + """Serves the EOSdash Demo page. + + Returns: + Demo: The Demo page component. + """ + return Demo(*eos_server()) @app.get("/eosdash/health") @@ -129,6 +147,13 @@ def get_eosdash_health(): # type: ignore return JSONResponse({"status": "alive"}) +@app.get("/eosdash/assets/{fname:path}.{ext:static}") +def get_eosdash_assets(fname: str, ext: str): # type: ignore + """Get assets.""" + asset_filepath = Path(__file__).parent.joinpath(f"dash/assets/{fname}.{ext}") + return FileResponse(path=asset_filepath) + + def run_eosdash(host: str, port: int, log_level: str, access_log: bool, reload: bool) -> None: """Run the EOSdash server with the specified configurations. @@ -159,14 +184,16 @@ def run_eosdash(host: str, port: int, log_level: str, access_log: bool, reload: psutil.process_iter.cache_clear() for retries in range(2): for p in psutil.process_iter(["name", "cmdline"]): - for arg in p.info["cmdline"]: - if arg.endswith("akkudoktoreos/server/eosdash.py") or arg.endswith( - "akkudoktoreos.server.eosdash" - ): - if p.pid != psutil.Process().pid: - # This is not our pid - logger.warning(f"EOSdash `{p.pid}` already running: {p.info["cmdline"]}") - return + cmdline = p.info["cmdline"] + if cmdline: + for arg in cmdline: + if arg.endswith("akkudoktoreos/server/eosdash.py") or arg.endswith( + "akkudoktoreos.server.eosdash" + ): + if p.pid != psutil.Process().pid: + # This is not our pid + logger.warning(f"EOSdash `{p.pid}` already running: {cmdline}") + return # Setup config from args if args: @@ -184,7 +211,7 @@ def run_eosdash(host: str, port: int, log_level: str, access_log: bool, reload: "akkudoktoreos.server.eosdash:app", host=host, port=port, - log_level=log_level.lower(), # Convert log_level to lowercase + log_level=log_level.lower(), access_log=access_log, reload=reload, ) @@ -198,7 +225,7 @@ def main() -> None: This function sets up the argument parser to accept command-line arguments for host, port, log_level, access_log, and reload. It uses default values from the - config_eos module if arguments are not provided. After parsing the arguments, + config module if arguments are not provided. After parsing the arguments, it starts the EOSdash server with the specified configurations. Command-line Arguments: @@ -212,7 +239,6 @@ def main() -> None: """ parser = argparse.ArgumentParser(description="Start EOSdash server.") - # Host and port arguments with defaults from config_eos parser.add_argument( "--host", type=str, @@ -225,8 +251,6 @@ def main() -> None: default=config_eos.server.eosdash_port, help="Port for the EOSdash server (default: value from config)", ) - - # EOS Host and port arguments with defaults from config_eos parser.add_argument( "--eos-host", type=str, @@ -239,8 +263,6 @@ def main() -> None: default=config_eos.server.port, help="Port of the EOS server (default: value from config)", ) - - # Optional arguments for log_level, access_log, and reload parser.add_argument( "--log_level", type=str, @@ -251,7 +273,7 @@ def main() -> None: "--access_log", type=bool, default=False, - help="Enable or disable access log. Options: True or False (default: True)", + help="Enable or disable access log. Options: True or False (default: False)", ) parser.add_argument( "--reload", @@ -260,6 +282,7 @@ def main() -> None: help="Enable or disable auto-reload. Useful for development. Options: True or False (default: False)", ) + global args args = parser.parse_args() try: @@ -267,6 +290,7 @@ def main() -> None: except Exception as ex: error_msg = f"Failed to run EOSdash: {ex}" logger.error(error_msg) + traceback.print_exc() sys.exit(1) diff --git a/src/akkudoktoreos/server/rest/error.py b/src/akkudoktoreos/server/rest/error.py new file mode 100644 index 00000000..dd8d9ee7 --- /dev/null +++ b/src/akkudoktoreos/server/rest/error.py @@ -0,0 +1,91 @@ +ERROR_PAGE_TEMPLATE = """ + + + + + + Energy Optimization System (EOS) Error + + + +
    +

    STATUS_CODE

    +

    ERROR_TITLE

    +

    ERROR_MESSAGE

    +
    ERROR_DETAILS
    + Back to Home +
    + + +""" + + +def create_error_page( + status_code: str, error_title: str, error_message: str, error_details: str +) -> str: + """Create an error page by replacing placeholders in the template.""" + return ( + ERROR_PAGE_TEMPLATE.replace("STATUS_CODE", status_code) + .replace("ERROR_TITLE", error_title) + .replace("ERROR_MESSAGE", error_message) + .replace("ERROR_DETAILS", error_details) + ) diff --git a/tests/test_eosdashserver.py b/tests/test_eosdashserver.py index 9f10a9c0..07cc6784 100644 --- a/tests/test_eosdashserver.py +++ b/tests/test_eosdashserver.py @@ -4,6 +4,14 @@ import requests +from akkudoktoreos.server.dash.demo import Demo + +if os.name == "nt": + host = "localhost" +else: + host = "0.0.0.0" +eosdash_url = f"http://{host}:8504" + def test_eosdash(eosdash_server): """Test the EOSdash server.""" @@ -12,26 +20,33 @@ def test_eosdash(eosdash_server): assert result.json()["status"] == "alive" -def test_eosdash_proxied_by_eos(server): - """Test the EOSdash server proxied by EOS server.""" - if os.name == "nt": - host = "localhost" - else: - host = "0.0.0.0" - eosdash_server = f"http://{host}:8504" - - # Assure EOSdash is up - startup = False - error = "" - for retries in range(10): - try: - result = requests.get(f"{eosdash_server}/eosdash/health") - if result.status_code == HTTPStatus.OK: - startup = True - break - error = f"{result.status_code}, {str(result.content)}" - except Exception as ex: - error = str(ex) - time.sleep(3) - assert startup, f"Connection to {eosdash_server}/eosdash/health failed: {error}" - assert result.json()["status"] == "alive" +class TestEOSdashServer: + def test_eosdash_proxied_by_eos(self, server_setup_for_class): + """Test the EOSdash server proxied by EOS server.""" + # Assure EOSdash is up + startup = False + error = "" + for retries in range(10): + try: + result = requests.get(f"{eosdash_url}/eosdash/health") + if result.status_code == HTTPStatus.OK: + startup = True + break + error = f"{result.status_code}, {str(result.content)}" + except Exception as ex: + error = str(ex) + time.sleep(3) + assert startup, f"Connection to {eosdash_url}/eosdash/health failed: {error}" + assert result.json()["status"] == "alive" + + def test_eosdash_demo(self, server_setup_for_class): + """Test EOSdash demo page.""" + server = server_setup_for_class["server"] + eos_dir = server_setup_for_class["eos_dir"] + + html = Demo(host, 8503) + assert html is not None + # Convert to string for easy lookup + html = str(html) + assert html.startswith("div") + assert "function embed_document(root)" in html
    -

    STATUS_CODE

    -

    ERROR_TITLE

    -

    ERROR_MESSAGE

    -
    ERROR_DETAILS
    -     Back to Home -