marcopan
386ec3b833
Bug di porting emerso in L2 prep: tht session new falliva con 'AttributeError: SessionManifest has no to_yaml'. Lo stub locale _YamlModel in session/models.py (placeholder pre-porting mschema) definiva solo populate_by_name, senza i metodi to_yaml/from_yaml che store.py e session_cmd.py usano. Aggiunti gli stessi metodi della controparte mschema (mantenendo populate_by_name, necessario per db_schema alias='schema'). config/tht.yaml: symlink locale al workspace cliente attivo (psd.yaml). Il gate chiama tht senza -c (default config/tht.yaml), quindi serve questo ponte per il deployment per-cliente. Gitignored (per-cliente). .gitignore: + config/tht.yaml, + artifacts/. Verifica: pytest 165 passed; tht session new crea sessione nel repo cliente; pi vede i 3 tool reviewer_* (gate caricato); GLM 5.2 e' il model default di pi.
81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
from datetime import datetime
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from pathlib import Path
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from typing import Literal, Self
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import yaml
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from pydantic import BaseModel, Field, ConfigDict
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# Stub locale di _YamlModel. In the reference implementation questa base vive in
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# mschema/models.py; qui la si replica perche' SessionManifest ha bisogno di
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# populate_by_name=True (db_schema usa l'alias "schema"), che la base mschema non
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# imposta. Identici to_yaml/from_yaml della controparte mschema.
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class _YamlModel(BaseModel):
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model_config = ConfigDict(populate_by_name=True)
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def to_yaml(self, path: Path) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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data = self.model_dump(by_alias=True, mode="json", exclude_defaults=False)
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path.write_text(
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yaml.safe_dump(data, sort_keys=False, allow_unicode=True, width=120)
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)
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@classmethod
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def from_yaml(cls, path: Path) -> Self:
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raw = yaml.safe_load(path.read_text())
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return cls.model_validate(raw)
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class SessionManifest(_YamlModel):
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id: str
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created_at: datetime
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status: Literal["open", "closed", "finalized"] = "open"
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question: str
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database: str
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db_schema: str = Field(alias="schema")
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# D12/D15: autore della sessione (auth) e versione del workflow usato.
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author: str | None = None
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summary: str | None = None
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updated_at: datetime | None = None
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updated_by: str | None = None
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schema_version: int | None = None
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class Candidate(BaseModel):
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kind: Literal["table", "column"]
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name: str
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signals: dict = {}
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evidence: list[str] = []
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decision: Literal["promoted", "excluded", "pending"] = "pending"
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decision_seq: int | None = None
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# D14a: valori citati nella domanda ancorati a questa colonna/tabella.
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grounded_values: list[dict] = []
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class Join(BaseModel):
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from_: str = Field(alias="from")
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to: str
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source: str = ""
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decision: Literal["promoted", "excluded", "pending"] = "promoted"
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decision_seq: int | None = None
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model_config = {"populate_by_name": True}
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class ExcludedItem(BaseModel):
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kind: Literal["table", "column"]
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name: str
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decision_seq: int | None = None
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class SchemaLinking(BaseModel):
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question: str
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candidates: list[Candidate] = []
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joins: list[Join] = []
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excluded: list[ExcludedItem] = []
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open_questions: list[str] = []
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# D14b: formule di concetto approvate, parte dello schema-linking.
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concept_formulas: list[dict] = []
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model_config = {"extra": "forbid"}
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