feat: port movie enrichment into pipeline stage

[Teagan42]

Summary

• port the movie batch handler and metadata aggregation from the legacy loader into the new pipeline enrichment stage
• swap global HTTP client usage for the injected factory to bundle external requests safely and emit persistence batches
• extend enrichment stage tests to cover TMDb/IMDb lookups, missing ID handling, and queue emission while bumping the project version

Why

• the enrichment stage needed real movie metadata enrichment logic and must avoid the legacy global HTTP client
• ensuring batching via the injected client keeps external calls rate-limit friendly and unblocks downstream persistence work

Affects

• loader pipeline enrichment stage implementation and its unit tests
• project metadata versions (pyproject, docker manifest, uv.lock)

Testing

• uv run ruff check .
• uv run pytest

Documentation

• Updated module docstring; no additional documentation changes required

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https://chatgpt.com/codex/tasks/task_e_68e2b958c8208328903befed8d260950

[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
mcp_plex/loader
__init__.py	816	131	84%	192, 247, 249–251, 267, 353–358, 960–961, 1005, 1007, 1060–1061, 1072–1074, 1077, 1080–1081, 1083, 1105, 1115, 1126–1158, 1173, 1175, 1182–1196, 1199–1213, 1219, 1234–1265, 1270–1303, 1306–1310, 1315–1323, 1333, 1342, 1346–1348, 1467–1469, 1802
mcp_plex/loader/pipeline
channels.py	70	2	97%	19–20
enrichment.py	109	33	70%	87–90, 100–103, 122, 132–139, 147, 154–172, 180, 222–227
ingestion.py	81	8	90%	67, 98–108, 129, 157, 179
mcp_plex/server
__init__.py	614	29	95%	43–44, 119–120, 148, 252, 256, 277–280, 297, 362, 365, 402, 420–421, 458, 1109, 1131–1137, 1173, 1191, 1196, 1214, 1338, 1375
__main__.py	4	4	0%	3–8
config.py	48	7	85%	50, 52–55, 65, 76
TOTAL	1952	214	89%

Tests	Skipped	Failures	Errors	Time
111	0 💤	0 ❌	0 🔥	55.660s ⏱️