feat(loader): batch imdb requests

[Teagan42]

What

• batch IMDb metadata requests using titles:batchGet
• test batched IMDb fetching
• bump version to 0.26.21

Why

• reduce repeated IMDb API calls during load

Affects

• mcp_plex/loader.py
• tests/test_load_from_plex.py
• tests/test_loader_unit.py
• AGENTS.md
• pyproject.toml
• uv.lock

Testing

• uv run ruff check .
• uv run pytest

Documentation

• n/a

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https://chatgpt.com/codex/tasks/task_e_68c66a1efd5c83288197ab2d57a50747

[Copilot]

Pull Request Overview

This PR adds batching capability for IMDb API requests to reduce API calls and improve performance during metadata loading.

• Implements a new _fetch_imdb_batch function that uses the titles:batchGet endpoint for multiple IMDb IDs
• Refactors the Plex loading logic to collect IMDb IDs first and fetch them in batches
• Adds logging to track batch processing progress

Reviewed Changes

Copilot reviewed 6 out of 7 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
mcp_plex/loader.py	Implements batched IMDb fetching and refactors movie/episode loading to use batch requests
tests/test_loader_unit.py	Adds unit test for the new batch IMDb fetching function
tests/test_load_from_plex.py	Updates integration test to mock the new batch endpoint
tests/test_gather_in_batches.py	Adds logging test for batch processing progress
pyproject.toml	Bumps version to 0.26.21
AGENTS.md	Documents the new IMDb batching optimization

Comments suppressed due to low confidence (1)

tests/test_load_from_plex.py:119

• The test is calling _gather_in_batches with batch_size=1, but the actual batching functionality for IMDb requests (via _fetch_imdb_batch) is not being tested. Consider adding a test that verifies IMDb requests are properly batched together.

    items = asyncio.run(loader._load_from_plex(server, "key", batch_size=1))
    assert calls == [(1, 1), (2, 1)]

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[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
mcp_plex
cache.py	36	4	89%	22, 50–52
imdb_cache.py	20	2	90%	17–18
loader.py	345	38	89%	33–35, 88, 102–103, 107, 114–121, 130, 132–134, 149–150, 163, 170, 238, 256, 268, 270, 516–518, 528, 531–535, 660, 915
server.py	298	22	93%	59–60, 102–103, 226, 454, 458, 480–486, 518, 528, 559–560, 577–578, 601, 604–605, 663
TOTAL	824	66	92%

Tests	Skipped	Failures	Errors	Time
37	0 💤	0 ❌	0 🔥	26.991s ⏱️