platform agnosticity

This commit is contained in:
2026-07-19 11:45:08 +02:00
parent 4fe9e76cad
commit d375db47c3
4 changed files with 85 additions and 40 deletions

View File

@@ -1,14 +1,42 @@
from __future__ import annotations
import os
import platform
from pathlib import Path
from typing import Any, ClassVar
import platformdirs
import yaml
from pydantic import Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
APP_NAME = "ocr-pipeline"
APP_AUTHOR = "aman"
def _get_platform_ignore_patterns() -> list[str]:
"""Get platform-specific ignore patterns for file watching."""
patterns = [
"*.tmp",
"*.partial",
"*.crdownload",
"*.part",
"~$*", # MS Office temp files
"*.swp",
"*.swo", # Vim swap files
]
system = platform.system().lower()
if system == "darwin":
patterns.extend([".DS_Store", "._*", ".Spotlight-V100", ".Trashes", ".fseventsd"])
elif system == "windows":
patterns.extend(["Thumbs.db", "desktop.ini", "*.lnk", "$RECYCLE.BIN"])
else:
# Linux/Unix
patterns.extend([".directory", "*.swp", "*.swo", ".git"])
return patterns
class InputConfig(BaseSettings):
paths: list[str] = Field(default_factory=lambda: ["~/Pictures"])
patterns: list[str] = Field(
@@ -132,7 +160,9 @@ class FrontmatterConfig(BaseSettings):
class OutputConfig(BaseSettings):
base_directory: str = "./data/ocr_output"
base_directory: str = Field(
default_factory=lambda: str(platformdirs.user_data_dir(APP_NAME, APP_AUTHOR))
)
format: str = "markdown"
organize_by: str = "date_run" # date_run | source_dir | flat
frontmatter: FrontmatterConfig = Field(default_factory=FrontmatterConfig)
@@ -141,15 +171,10 @@ class OutputConfig(BaseSettings):
class WatchConfig(BaseSettings):
enabled: bool = True
debounce_seconds: int = 5
ignore_patterns: list[str] = Field(
default_factory=lambda: [
".DS_Store",
"*.tmp",
"*.partial",
"*.crdownload",
]
ignore_patterns: list[str] = Field(default_factory=_get_platform_ignore_patterns)
db_path: str = Field(
default_factory=lambda: str(Path(platformdirs.user_data_dir(APP_NAME, APP_AUTHOR)) / "processed_files.db")
)
db_path: str = "./data/processed_files.db"
poll_interval: float = 1.0