feat: add spacy model download and some logs!

[amindadgar]

Summary by CodeRabbit

• Chores

  • Updated the Docker image to automatically download the spaCy English language model during build.

• Enhancements

  • Improved logging in the document loading process to provide clearer runtime information and status updates.
  • Enhanced data handling to correctly reconstruct document objects before loading.

[coderabbitai]

Walkthrough

The changes include three main updates: the Dockerfile was modified to add a step that downloads the spaCy English language model (en_core_web_sm) during the build process; the MediawikiETL.load method was enhanced with additional logging statements to report the number of documents loaded, completion of loading, and removal of the dump directory if applicable; and the load_mediawiki_data async function was updated to reconstruct Document objects from dictionaries before loading, addressing the serialization done by Temporal. No core logic or control flow was altered.

Changes

File(s)	Summary of Changes
Dockerfile	Added a build step to download the spaCy English language model (en_core_web_sm).
hivemind_etl/mediawiki/etl.py	Added logging in MediawikiETL.load to report document count before loading, completion, and dump directory removal.
hivemind_etl/mediawiki/activities.py	Modified load_mediawiki_data to reconstruct Document objects from dictionaries before loading.

Possibly related PRs

• fix: wrong arg for MediaWikiETL! #22: Also modifies load_mediawiki_data in hivemind_etl/mediawiki/activities.py to adjust data handling before passing to MediawikiETL, adding a namespaces parameter and related constructor changes.

Poem

In Docker’s den, a model’s fetched anew,
While logs now tell us what our code will do.
Documents once lost in dict disguise,
Reborn as objects, clear and wise.
The rabbit hops, the data flows—
In every log, the progress shows!
🐇✨

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Reviewing files that changed from the base of the PR and between 62ee10f and 42d5d06.

📒 Files selected for processing (1)

• hivemind_etl/mediawiki/activities.py (1 hunks)

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🔇 Additional comments (1)

hivemind_etl/mediawiki/activities.py (1)

101-103: Good fix for the object serialization issue.

The change correctly handles the serialization/deserialization process by converting the dictionary representations back to Document objects. This is necessary because Temporal serializes complex objects to dictionaries during workflow execution.

The comment clearly explains the reasoning, which helps future maintainers understand why this conversion is needed.

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Actionable comments posted: 0

🧹 Nitpick comments (1)

Dockerfile (1)

5-5: Consider pinning the spaCy model version for reproducibility.

The addition of the spaCy model download is correct and ensures the model is available at runtime. For more reproducible builds, consider specifying the model version explicitly (e.g., en_core_web_sm==3.7.1).

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 52fcbcc and 62ee10f.

📒 Files selected for processing (2)

• Dockerfile (1 hunks)
• hivemind_etl/mediawiki/etl.py (1 hunks)

⏰ Context from checks skipped due to timeout of 90000ms (2)

• GitHub Check: ci / test / Test
• GitHub Check: ci / lint / Lint

🔇 Additional comments (1)

hivemind_etl/mediawiki/etl.py (1)

97-106: Logging additions improve observability.

The new logging statements provide helpful runtime information and do not affect core logic. No issues found.