YvvandClaude Opus 5.5
67ddee28b2
- crates/ld-engine : formule inertielle (parité avec la maquette, garde C), coquille / changement de fond, assistant d'édition à règles, composition d'un document sous vote permanent (adoptions, aperçus, rivales). - crates/trustin-access : qui voit, qui ouvre, qui gère les accès. - crates/ld-server : API axum + SQLite, connexion Ğ1 (client OAuth2 de connect.monnaie-libre.fr), invitations, entrée en vigueur automatique, signalements de contradiction, traductions éditoriales, publication git, taille de la toile lue sur la chaîne. - seeds/acte-engagement-certification.json : 33 articles, fr + en + es ; en vigueur : préambule, E1, E2 (seed a minima). - maquette/ : frontend, backend et docker v2 déplacés tels quels. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
108 lines
2.9 KiB
Python
108 lines
2.9 KiB
Python
"""Parse mode-parameter strings into structured dicts.
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A mode-params string encodes voting formula parameters in a compact format.
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Example: ``"D30M50B.1G.2T.1"``
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Supported codes:
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D = duration_days (int)
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M = majority_pct (int, 0-100)
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B = base_exponent (float)
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G = gradient_exponent (float)
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C = constant_base (float)
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S = smith_exponent (float)
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T = techcomm_exponent (float)
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N = ratio_multiplier (float)
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R = ratio_mode (bool, 0 or 1)
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Values may start with a dot for decimals < 1, e.g. ``B.1`` means base_exponent=0.1.
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"""
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from __future__ import annotations
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import re
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# Ordered list of recognised codes and their target keys + types
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_CODES: dict[str, tuple[str, type]] = {
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"D": ("duration_days", int),
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"M": ("majority_pct", int),
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"B": ("base_exponent", float),
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"G": ("gradient_exponent", float),
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"C": ("constant_base", float),
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"S": ("smith_exponent", float),
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"T": ("techcomm_exponent", float),
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"N": ("ratio_multiplier", float),
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"R": ("is_ratio_mode", bool),
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}
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# Regex: a single uppercase letter followed by a numeric value (int or float,
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# possibly starting with '.' for values like .1 meaning 0.1)
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_PARAM_RE = re.compile(r"([A-Z])(\d*\.?\d+)")
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def parse_mode_params(params_str: str) -> dict:
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"""Parse a mode-params string into a parameter dict.
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Parameters
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----------
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params_str:
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Compact parameter string, e.g. ``"D30M50B.1G.2T.1"``.
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Returns
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-------
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dict
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Keys present depend on codes found in the string. Defaults are
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applied for any code not present::
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{
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"duration_days": 30,
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"majority_pct": 50,
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"base_exponent": 0.1,
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"gradient_exponent": 0.2,
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"constant_base": 0.0,
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"smith_exponent": None,
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"techcomm_exponent": None,
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"ratio_multiplier": None,
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"is_ratio_mode": False,
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}
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Raises
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------
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ValueError
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If an unrecognised code letter is found.
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"""
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defaults: dict = {
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"duration_days": 30,
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"majority_pct": 50,
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"base_exponent": 0.1,
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"gradient_exponent": 0.2,
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"constant_base": 0.0,
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"smith_exponent": None,
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"techcomm_exponent": None,
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"ratio_multiplier": None,
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"is_ratio_mode": False,
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}
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if not params_str or not params_str.strip():
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return dict(defaults)
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result = dict(defaults)
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for match in _PARAM_RE.finditer(params_str):
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code = match.group(1)
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raw_value = match.group(2)
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if code not in _CODES:
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raise ValueError(f"Code de parametre inconnu : '{code}'")
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key, target_type = _CODES[code]
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if target_type is int:
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result[key] = int(float(raw_value))
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elif target_type is float:
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result[key] = float(raw_value)
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elif target_type is bool:
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result[key] = float(raw_value) != 0.0
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return result
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