chore: require Python 3.11+ and use stdlib tomllib

CHANGELOG.md

@@ -13,6 +13,7 @@ All notable user-visible changes to this project are documented in this file.
 
 - Discover skills dynamically in the startup header and show analyzed episodes from `dist/analysis/`, so returning users can see what already exists.
 - Remove the unused `[outputs]`, `[transcription]`, and `[video_scan]` sections from `podguy.example.toml`; document which sections are read by code vs. by the agent.
+- Require Python 3.11+ (managed automatically by uv) and parse `podguy.toml` with the standard-library TOML parser.
 
 ### Fixed
 

pyproject.toml

@@ -2,7 +2,7 @@
 name = "podguy"
 version = "0.1.0"
 description = "Small tooling repo for repeatable podcast and video-podcast post-production tasks."
-requires-python = ">=3.9"
+requires-python = ">=3.11"
 dependencies = []
 
 [dependency-groups]

scripts/youtube_publish.py

@@ -53,6 +53,7 @@
 import os
 import re
 import sys
+import tomllib
 from pathlib import Path
 from typing import Any, Optional
 
@@ -87,60 +88,12 @@ def fail(message: str) -> "NoReturn":  # noqa: F821 - py39 compat, comment only
 # ---------------------------------------------------------------------------
 
 
-def strip_toml_comment(line: str) -> str:
-    """Drop a trailing # comment, ignoring # characters inside quoted strings."""
-    in_quote = ""
-    for index, char in enumerate(line):
-        if in_quote:
-            if char == in_quote:
-                in_quote = ""
-        elif char in "\"'":
-            in_quote = char
-        elif char == "#":
-            return line[:index]
-    return line
-
-
 def parse_toml_youtube_section(text: str) -> dict[str, Any]:
-    """Read the [youtube] table from podguy.toml.
-
-    Uses tomllib when available (Python 3.11+) and falls back to a minimal
-    flat-key parser for older interpreters. Only simple keys are supported;
-    the fallback does not handle [youtube.*] subtables, multiline strings,
-    or array items containing quote characters.
-    """
+    """Read the [youtube] table from podguy.toml."""
     try:
-        import tomllib
-
         return dict(tomllib.loads(text).get("youtube", {}))
-    except ModuleNotFoundError:
-        pass
-
-    section: dict[str, Any] = {}
-    in_youtube = False
-    for raw_line in text.splitlines():
-        line = strip_toml_comment(raw_line).strip()
-        if not line:
-            continue
-        if line.startswith("["):
-            in_youtube = line == "[youtube]"
-            continue
-        if not in_youtube or "=" not in line:
-            continue
-        key, value = (part.strip() for part in line.split("=", 1))
-        if value in ("true", "false"):
-            section[key] = value == "true"
-        elif value.startswith("[") and value.endswith("]"):
-            items = re.findall(r"[\"']([^\"']*)[\"']", value)
-            section[key] = items
-        elif len(value) >= 2 and value[0] in "\"'" and value[-1] == value[0]:
-            section[key] = value[1:-1]
-        else:
-            try:
-                section[key] = int(value)
-            except ValueError:
-                section[key] = value
-    return section
+    except tomllib.TOMLDecodeError as error:
+        fail(f"error: could not parse profile TOML: {error}")
 
 
 def load_profile_defaults(profile_path: Optional[str]) -> dict[str, Any]:

src/podguy-post-production/SKILL.md

@@ -1,7 +1,7 @@
 ---
 name: podguy-post-production
 description: Use for generic podcast and video-podcast post-production. Run the repo's transcript and optional visual scanner tools on episode media, prepare transcript artifacts, propose YouTube/podcast chapters, and give editorial feedback such as cuts, clips, show notes, quotes, highlights, and proper noun cleanup.
-compatibility: Launch pi from the repository root. The visual scanner requires macOS and Swift. The transcript CLI requires Python 3.9+, uv, and an installed transcription backend.
+compatibility: Launch pi from the repository root. The visual scanner requires macOS and Swift. The transcript CLI requires Python 3.11+, uv, and an installed transcription backend.
 ---
 
 # podguy Post Production