Sprint 1 : scaffolding complet de Glibredecision

Plateforme de decisions collectives pour Duniter/G1.
Backend FastAPI async + PostgreSQL (14 tables, 8 routers, 6 services,
moteur de vote avec formule d'inertie WoT/Smith/TechComm).
Frontend Nuxt 4 + Nuxt UI v3 + Pinia (9 pages, 5 stores).
Infrastructure Docker + Woodpecker CI + Traefik.
Documentation technique et utilisateur (15 fichiers).
Seed : Licence G1, Engagement Forgeron v2.0.0, 4 protocoles de vote.
30 tests unitaires (formules, mode params, vote nuance) -- tous verts.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/app/engine/mode_params.py

@@ -0,0 +1,107 @@
+"""Parse mode-parameter strings into structured dicts.
+
+A mode-params string encodes voting formula parameters in a compact format.
+Example: ``"D30M50B.1G.2T.1"``
+
+Supported codes:
+    D = duration_days (int)
+    M = majority_pct (int, 0-100)
+    B = base_exponent (float)
+    G = gradient_exponent (float)
+    C = constant_base (float)
+    S = smith_exponent (float)
+    T = techcomm_exponent (float)
+    N = ratio_multiplier (float)
+    R = ratio_mode (bool, 0 or 1)
+
+Values may start with a dot for decimals < 1, e.g. ``B.1`` means base_exponent=0.1.
+"""
+
+from __future__ import annotations
+
+import re
+
+
+# Ordered list of recognised codes and their target keys + types
+_CODES: dict[str, tuple[str, type]] = {
+    "D": ("duration_days", int),
+    "M": ("majority_pct", int),
+    "B": ("base_exponent", float),
+    "G": ("gradient_exponent", float),
+    "C": ("constant_base", float),
+    "S": ("smith_exponent", float),
+    "T": ("techcomm_exponent", float),
+    "N": ("ratio_multiplier", float),
+    "R": ("is_ratio_mode", bool),
+}
+
+# Regex: a single uppercase letter followed by a numeric value (int or float,
+# possibly starting with '.' for values like .1 meaning 0.1)
+_PARAM_RE = re.compile(r"([A-Z])(\d*\.?\d+)")
+
+
+def parse_mode_params(params_str: str) -> dict:
+    """Parse a mode-params string into a parameter dict.
+
+    Parameters
+    ----------
+    params_str:
+        Compact parameter string, e.g. ``"D30M50B.1G.2T.1"``.
+
+    Returns
+    -------
+    dict
+        Keys present depend on codes found in the string.  Defaults are
+        applied for any code not present::
+
+            {
+                "duration_days": 30,
+                "majority_pct": 50,
+                "base_exponent": 0.1,
+                "gradient_exponent": 0.2,
+                "constant_base": 0.0,
+                "smith_exponent": None,
+                "techcomm_exponent": None,
+                "ratio_multiplier": None,
+                "is_ratio_mode": False,
+            }
+
+    Raises
+    ------
+    ValueError
+        If an unrecognised code letter is found.
+    """
+    defaults: dict = {
+        "duration_days": 30,
+        "majority_pct": 50,
+        "base_exponent": 0.1,
+        "gradient_exponent": 0.2,
+        "constant_base": 0.0,
+        "smith_exponent": None,
+        "techcomm_exponent": None,
+        "ratio_multiplier": None,
+        "is_ratio_mode": False,
+    }
+
+    if not params_str or not params_str.strip():
+        return dict(defaults)
+
+    result = dict(defaults)
+
+    for match in _PARAM_RE.finditer(params_str):
+        code = match.group(1)
+        raw_value = match.group(2)
+
+        if code not in _CODES:
+            raise ValueError(f"Code de parametre inconnu : '{code}'")
+
+        key, target_type = _CODES[code]
+
+        if target_type is int:
+            result[key] = int(float(raw_value))
+        elif target_type is float:
+            result[key] = float(raw_value)
+        elif target_type is bool:
+            result[key] = float(raw_value) != 0.0
+
+    return result