Fix2 config and predictions revamp. (#281)

measurement:

- Add new measurement class to hold real world measurements.
- Handles load meter readings, grid import and export meter readings.
- Aggregates load meter readings aka. measurements to total load.
- Can import measurements from files, pandas datetime series,
    pandas datetime dataframes, simple daetime arrays and
    programmatically.
- Maybe expanded to other measurement values.
- Should be used for load prediction adaptions by real world
    measurements.

core/coreabc:

- Add mixin class to access measurements

core/pydantic:

- Add pydantic models for pandas datetime series and dataframes.
- Add pydantic models for simple datetime array

core/dataabc:

- Provide DataImport mixin class for generic import handling.
    Imports from JSON string and files. Imports from pandas datetime dataframes
    and simple datetime arrays. Signature of import method changed to
    allow import datetimes to be given programmatically and by data content.
- Use pydantic models for datetime series, dataframes, arrays
- Validate generic imports by pydantic models
- Provide new attributes min_datetime and max_datetime for DataSequence.
- Add parameter dropna to drop NAN/ None values when creating lists, pandas series
    or numpy array from DataSequence.

config/config:

- Add common settings for the measurement module.

predictions/elecpriceakkudoktor:

- Use mean values of last 7 days to fill prediction values not provided by
    akkudoktor.net (only provides 24 values).

prediction/loadabc:

- Extend the generic prediction keys by 'load_total_adjusted' for load predictions
    that adjust the predicted total load by measured load values.

prediction/loadakkudoktor:

- Extend the Akkudoktor load prediction by load adjustment using measured load
    values.

prediction/load_aggregator:

- Module removed. Load aggregation is now handled by the measurement module.

prediction/load_corrector:

- Module removed. Load correction (aka. adjustment of load prediction by
    measured load energy) is handled by the LoadAkkudoktor prediction and
    the generic 'load_mean_adjusted' prediction key.

prediction/load_forecast:

- Module removed. Functionality now completely handled by the LoadAkkudoktor
    prediction.

utils/cacheutil:

- Use pydantic.
- Fix potential bug in ttl (time to live) duration handling.

utils/datetimeutil:

- Added missing handling of pendulum.DateTime and pendulum.Duration instances
    as input. Handled before as datetime.datetime and datetime.timedelta.

utils/visualize:

- Move main to generate_example_report() for better testing support.

server/server:

- Added new configuration option server_fastapi_startup_server_fasthtml
  to make startup of FastHTML server by FastAPI server conditional.

server/fastapi_server:

- Add APIs for measurements
- Improve APIs to provide or take pandas datetime series and
    datetime dataframes controlled by pydantic model.
- Improve APIs to provide or take simple datetime data arrays
    controlled by pydantic model.
- Move fastAPI server API to v1 for new APIs.
- Update pre v1 endpoints to use new prediction and measurement capabilities.
- Only start FastHTML server if 'server_fastapi_startup_server_fasthtml'
    config option is set.

tests:

- Adapt import tests to changed import method signature
- Adapt server test to use the v1 API
- Extend the dataabc test to test for array generation from data
    with several data interval scenarios.
- Extend the datetimeutil test to also test for correct handling
    of to_datetime() providing now().
- Adapt LoadAkkudoktor test for new adjustment calculation.
- Adapt visualization test to use example report function instead of visualize.py
    run as process.
- Removed test_load_aggregator. Functionality is now tested in test_measurement.
- Added tests for measurement module

docs:

- Remove sphinxcontrib-openapi as it prevents build of documentation.
    "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema
    for t in schema["anyOf"]: KeyError: 'anyOf'"

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>

src/akkudoktoreos/utils/datetimeutil.py

@@ -19,7 +19,7 @@ Example usage:
     >>> to_duration("2 days 5 hours")
 
     # Timezone detection
-    >>> to_timezone(location={40.7128, -74.0060})
+    >>> to_timezone(location=(40.7128, -74.0060))
 """
 
 import re
@@ -27,7 +27,7 @@ from datetime import date, datetime, timedelta
 from typing import Any, List, Literal, Optional, Tuple, Union, overload
 
 import pendulum
-from pendulum import DateTime
+from pendulum import Date, DateTime, Duration
 from pendulum.tz.timezone import Timezone
 from timezonefinder import TimezoneFinder
 
@@ -71,6 +71,7 @@ def to_datetime(
         date_input (Optional[Any]): The date input to convert. Supported types include:
             - `str`: A date string in various formats (e.g., "2024-10-13", "13 Oct 2024").
             - `pendulum.DateTime`: A Pendulum DateTime object.
+            - `pendulum.Date`: A Pendulum Date object, which will be converted to a datetime at the start or end of the day.
             - `datetime.datetime`: A standard Python datetime object.
             - `datetime.date`: A date object, which will be converted to a datetime at the start or end of the day.
             - `int` or `float`: A Unix timestamp, interpreted as seconds since the epoch (UTC).
@@ -123,6 +124,14 @@ def to_datetime(
 
     if isinstance(date_input, DateTime):
         dt = date_input
+    elif isinstance(date_input, Date):
+        dt = pendulum.datetime(
+            year=date_input.year, month=date_input.month, day=date_input.day, tz=in_timezone
+        )
+        if to_maxtime:
+            dt = dt.end_of("day")
+        else:
+            dt = dt.start_of("day")
     elif isinstance(date_input, str):
         # Convert to timezone aware datetime
         dt = None
@@ -161,14 +170,22 @@ def to_datetime(
             except pendulum.parsing.exceptions.ParserError as e:
                 logger.debug(f"Date string {date_input} does not match any Pendulum formats: {e}")
                 dt = None
+        if dt is None:
+            # Some special values
+            if date_input.lower() == "infinity":
+                # Subtract one year from max as max datetime will create an overflow error in certain context.
+                dt = DateTime.max.subtract(years=1)
+        if dt is None:
+            try:
+                timestamp = float(date_input)
+                dt = pendulum.from_timestamp(timestamp, tz="UTC")
+            except (ValueError, TypeError) as e:
+                logger.debug(f"Date string {date_input} does not match timestamp format: {e}")
+                dt = None
         if dt is None:
             raise ValueError(f"Date string {date_input} does not match any known formats.")
     elif date_input is None:
-        dt = (
-            pendulum.today(tz=in_timezone).end_of("day")
-            if to_maxtime
-            else pendulum.today(tz=in_timezone).start_of("day")
-        )
+        dt = pendulum.now(tz=in_timezone)
     elif isinstance(date_input, datetime):
         dt = pendulum.instance(date_input)
     elif isinstance(date_input, date):
@@ -206,19 +223,19 @@ def to_datetime(
 
 
 def to_duration(
-    input_value: Union[timedelta, str, int, float, Tuple[int, int, int, int], List[int]],
-) -> timedelta:
-    """Converts various input types into a timedelta object using pendulum.
+    input_value: Union[Duration, timedelta, str, int, float, Tuple[int, int, int, int], List[int]],
+) -> Duration:
+    """Converts various input types into a Duration object using pendulum.
 
     Args:
-        input_value (Union[timedelta, str, int, float, tuple, list]): Input to be converted
+        input_value (Union[Duration, timedelta, str, int, float, tuple, list]): Input to be converted
             into a timedelta:
             - str: A duration string like "2 days", "5 hours", "30 minutes", or a combination.
             - int/float: Number representing seconds.
             - tuple/list: A tuple or list in the format (days, hours, minutes, seconds).
 
     Returns:
-        timedelta: A timedelta object corresponding to the input value.
+        duration: A Duration object corresponding to the input value.
 
     Raises:
         ValueError: If the input format is not supported.
@@ -233,18 +250,21 @@ def to_duration(
         >>> to_duration((1, 2, 30, 15))
         timedelta(days=1, seconds=90315)
     """
-    if isinstance(input_value, timedelta):
+    if isinstance(input_value, Duration):
         return input_value
 
+    if isinstance(input_value, timedelta):
+        return pendulum.duration(seconds=input_value.total_seconds())
+
     if isinstance(input_value, (int, float)):
         # Handle integers or floats as seconds
-        return timedelta(seconds=input_value)
+        return pendulum.duration(seconds=input_value)
 
     elif isinstance(input_value, (tuple, list)):
         # Handle tuple or list: (days, hours, minutes, seconds)
         if len(input_value) == 4:
             days, hours, minutes, seconds = input_value
-            return timedelta(days=days, hours=hours, minutes=minutes, seconds=seconds)
+            return pendulum.duration(days=days, hours=hours, minutes=minutes, seconds=seconds)
         else:
             error_msg = f"Expected a tuple or list of length 4, got {len(input_value)}"
             logger.error(error_msg)
@@ -340,7 +360,7 @@ def to_timezone(
         >>> to_timezone(utc_offset=5.5, as_string=True)
         'UTC+05:30'
 
-        >>> to_timezone(location={40.7128, -74.0060})
+        >>> to_timezone(location=(40.7128, -74.0060))
         <Timezone [America/New_York]>
 
         >>> to_timezone()