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feat: Add media content parsing for images #158

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feat: Add media content parsing for images #158

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5eab987
feat: Add media content parsing for images
DoomHammer Mar 25, 2026
a519255
Update custom_components/feedparser/sensor.py
DoomHammer Mar 31, 2026
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9 changes: 8 additions & 1 deletion custom_components/feedparser/sensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -260,7 +260,14 @@ def _process_image(self: FeedParserSensor, feed_entry: FeedParserDict) -> str:
if images:
# pick the first image found
return images[0]["href"]
elif "summary" in feed_entry:
if feed_entry.get("media_content"):
images = [
enc for enc in feed_entry["media_content"] if enc['type'].startswith("image/")
]
Comment on lines +264 to +266
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Copilot AI Mar 30, 2026

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Filtering media_content items with enc['type'].startswith("image/") can raise KeyError (missing type) or AttributeError (type is None). Using a safe accessor (e.g., enc.get("type", "")) and matching the enclosures style (enc.type) would make this more robust for varying feedparser outputs.

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@ogajduse ogajduse Mar 30, 2026

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I consider this a minor comment.

if images:
# pick the first image found
return images[0]["url"]
Comment on lines +263 to +269
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Copilot AI Mar 30, 2026

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This change introduces a new image source (media_content) but the test suite doesn't include any fixture/feed data that exercises media_content image parsing. Adding a representative feed sample (e.g., Mastodon) and asserting the selected image URL would prevent regressions and validate the new behavior.

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if "summary" in feed_entry:
images = re.findall(
IMAGE_REGEX,
feed_entry["summary"],
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