AdamThomasandClaude Sonnet 5
609514369a
Champs `tshirt_size` et `diet` supprimés du modèle `Volunteer`, des schémas d'API, de l'import CSV/Excel (mapping, suggestions, exécution) et du jeu de démonstration. Énum `TshirtSize` et helper `parse_tshirt_size` supprimés. Migration 0005. Clé i18n `import.row.invalid_tshirt_size` retirée. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017uUsRg7XzopkCPWimwg9ZM
87 lines
1.9 KiB
Python
87 lines
1.9 KiB
Python
"""Schémas d'entrée/sortie de l'import.
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Le rapport ne contient que des **codes** de traduction + des paramètres
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structurés, jamais de phrase (voir `locales/fr.json`).
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"""
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import datetime as dt
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import uuid
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from typing import Literal
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from pydantic import BaseModel, Field
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Severity = Literal["ERROR", "WARNING"]
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RowAction = Literal["CREATED", "UPDATED", "SKIPPED"]
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class ColumnMapping(BaseModel):
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first_name: str
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last_name: str
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email: str | None = None
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phone: str | None = None
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comment: str | None = None
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skills: str | None = None
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class AvailabilityColumnMapping(BaseModel):
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header: str
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date: dt.date
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day_part_code: str
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class ImportMapping(BaseModel):
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dry_run: bool = True
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columns: ColumnMapping
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availability_columns: list[AvailabilityColumnMapping] = Field(
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default_factory=list
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)
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class Issue(BaseModel):
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code: str
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severity: Severity
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field: str | None = None
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params: dict[str, str | int | None] = Field(default_factory=dict)
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class RowReport(BaseModel):
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line: int
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action: RowAction
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volunteer_id: uuid.UUID | None = None
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issues: list[Issue] = Field(default_factory=list)
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class ImportReport(BaseModel):
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dry_run: bool
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total_rows: int
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created: int = 0
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updated: int = 0
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skipped: int = 0
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availabilities_written: int = 0
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skills_created: list[str] = Field(default_factory=list)
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rows: list[RowReport] = Field(default_factory=list)
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class PreviewRow(BaseModel):
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line: int
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values: dict[str, str]
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class DayPartInfo(BaseModel):
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code: str
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label: str
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start_time: dt.time
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end_time: dt.time
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order: int
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class AnalyzeResponse(BaseModel):
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filename: str
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format: Literal["csv", "xlsx"]
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headers: list[str]
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row_count: int
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preview: list[PreviewRow]
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suggested_mapping: dict[str, str]
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edition_dates: list[dt.date]
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day_parts: list[DayPartInfo]
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