fix: unify mypy environments for local checks and CI (#1291)

The isolated pre-commit mypy hook previously omitted runtime type information that
make mypy used, hiding errors involving dependencies such as Pydantic and Pendulum.
Makefile, pre-commit and CI now run the same full-project typing policy in the
development environment defined by uv.lock.

- Use uv run --locked --exact --extra dev and the same mypy arguments for Makefile
  and the local hook. Check all of src and tests, including on configuration-only
  changes.
- Pin Python 3.13 for local development and the pre-commit CI job, and install the
  locked pre-commit version in CI.
- Disable incremental analysis because existing Pendulum cache state changes mypy 2.3.1
  diagnostics. Document the policy, the performance tradeoff and the existing typing debt.
- Add a regression test that exercises Makefile, the hook and the CI command in a
  temporary project, accepting valid dependency types and detecting deliberate
  Pydantic/Pendulum assignment errors.

Resolve the newly detected mypy diagnostics.

- Enable the numpydantic and Pydantic mypy plugins, retaining strict Pydantic
  constructor typing with init_typed = true. Validate raw/coercible payloads through model_validate.
- Propagate concrete record, provider and time-window types through generic collections,
  factories and lookup methods. Preserve runtime field inspection and generated time-window
  documentation.
- Align Pendulum annotations with actual factory/arithmetic results while retaining Pydantic
  validation adapters at runtime. Correct optional values, array boundaries, REST handlers
  and plotting interfaces.
- Add pinned scipy-stubs and types-psutil, update uv.lock, and supply the plugins' dependencies.
- Add runtime regression coverage for validated path defaults, normalized time-series metadata,
  generic field inspection, invalid timestamps and unsupported provider imports.

Runtime and compatibility details:

- Validate path defaults as Path objects while retaining raw string defaults needed by
  migration serialization with exclude_defaults.
- Normalize feed-in tariff lists and default charge rates to NumPy arrays; reject missing
  timestamps/uninitialized values explicitly. Importing into a provider without import support
  returns HTTP 400.
- Public JSON schemas and OpenAPI structure match main (excluding the generated version).

Signed-off-by: dr-dimitry

Signed-off-by: dr-dimitry
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: dr-dimitri <87113560+dr-dimitri@users.noreply.github.com>
Co-authored-by: Normann <github@koldrack.com>

src/akkudoktoreos/prediction/weatherclearoutside.py

@@ -13,7 +13,7 @@ Notes:
 """
 
 import re
-from typing import Dict, List, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple
 
 import pandas as pd
 import requests
@@ -232,7 +232,7 @@ class WeatherClearOutside(WeatherProvider):
             p_detail_tables.pop(0)
 
             # Create clearout data
-            clearout_data = {}
+            clearout_data: dict[str, Any] = {}
             # Number of detail values. On last day may be less than 24.
             detail_values_count = None
             # Add data values
@@ -258,7 +258,7 @@ class WeatherClearOutside(WeatherProvider):
                     raise ValueError(error_msg)
 
                 # Scrape the detail values
-                detail_data = []
+                detail_data: list[float | str] = []
                 extra_detail_name = None
                 extra_detail_data = []
                 for p_detail_value in p_detail_values:
@@ -281,9 +281,10 @@ class WeatherClearOutside(WeatherProvider):
                         and hasattr(p_detail_value, "title")
                         and p_detail_value.title
                     ):
-                        value_str = p_detail_value.title.string
+                        value_str = p_detail_value.title.get_text()
                     else:
                         value_str = p_detail_value.get_text()
+                    value: float | str
                     try:
                         value = float(value_str)
                     except ValueError:
@@ -336,9 +337,9 @@ class WeatherClearOutside(WeatherProvider):
                     if key is None:
                         continue
                     if detail_name in clearout_data:
-                        value = clearout_data[detail_name][row_index]
+                        record_value = clearout_data[detail_name][row_index]
                         corr_factor = clearoutside_key_mapping[detail_name][1]
                         if corr_factor:
-                            value = value * corr_factor
-                        setattr(weather_record, key, value)
+                            record_value = record_value * corr_factor
+                        setattr(weather_record, key, record_value)
                 await self.insert_by_datetime(weather_record)