Enhance chunking service: add docstrings for token estimation

[enfayz]

Added short docstrings to the helper functions for clarity

Summary by CodeRabbit

• Documentation
  • Enhanced internal documentation and docstrings for the chunking service to clarify behavior and maintenance details.
  • No functional changes; application behavior and outputs are unaffected.
  • Improves readability for developers and future updates.
  • No UI or API changes. Performance, reliability, and results remain identical across environments.

[coderabbitai]

Walkthrough

Docstrings were added to helper functions in services/chunking_service.py: _estimate_tokens_from_text, _join_sentences, and _make_chunk_meta. No logic or control flow was modified.

Changes

Cohort / File(s)	Summary
Documentation updates services/chunking_service.py	Added docstrings to _estimate_tokens_from_text, _join_sentences, and _make_chunk_meta; no behavioral changes.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Possibly related PRs

• feat(text-chunking): sentence-/token-aware chunk_text(...) with rich metadata & smart merging #35 — Touches the same helper functions; likely related to introducing or modifying these utilities.

Suggested reviewers

• fehranbit

Poem

I nibble at docs with a gentle hop,
Leaving footprints in comments—plop plop!
No codepaths bend, no branches sway,
Just clearer trails to guide the way.
Carrot in paw, I annotate—yay! 🥕

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check	✅ Passed	The title accurately identifies that new docstrings were added to the chunking service and highlights the token estimation helper function, which is part of the change set. It is specific, concise, and relevant to the pull request’s objective of improving documentation without introducing unrelated details.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✨ Finishing touches

• 📝 Generate Docstrings

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch feat/add-docstrings

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[coderabbitai]

Actionable comments posted: 0

🧹 Nitpick comments (3)

services/chunking_service.py (3)

23-26: Consider adding parameter and return documentation.

The docstring accurately describes the function's purpose. For better clarity and completeness, consider adopting a standard docstring format that documents parameters and return values.

Apply this diff to enhance the docstring:

-    """
-    Estimate the number of tokens in the given text.
-    Uses tiktoken if available, otherwise falls back to a naive estimator.
-    """
+    """
+    Estimate the number of tokens in the given text.
+    Uses tiktoken if available, otherwise falls back to a naive estimator (1 token ≈ 4 chars).
+    
+    :param text: The text to estimate tokens for.
+    :return: Estimated number of tokens.
+    """

---

38-41: Consider adding parameter and return documentation.

The docstring clearly explains the chunking behavior. For consistency and completeness, consider adding formal parameter and return value documentation.

Apply this diff to enhance the docstring:

-    """
-    Join sentences into chunks, each not exceeding max_chars in length.
-    If a sentence is longer than max_chars, split it by character window.
-    """
+    """
+    Join sentences into chunks, each not exceeding max_chars in length.
+    If a sentence is longer than max_chars, split it by character window.
+    
+    :param sentences: List of sentence strings to join into chunks.
+    :param max_chars: Maximum character length for each chunk.
+    :return: List of chunk strings.
+    """

---

68-70: Consider documenting the returned dictionary structure.

The docstring is accurate but brief. Since this function creates a specific metadata structure, documenting the parameters and the returned dictionary keys would improve clarity.

Apply this diff to enhance the docstring:

-    """
-    Create metadata dictionary for a chunk of text.
-    """
+    """
+    Create metadata dictionary for a chunk of text.
+    
+    :param text: The chunk text content.
+    :param offset: Character offset of the chunk in the original text.
+    :param order: Sequential order of the chunk.
+    :return: Dictionary with keys: id, order, offset, length, text, estimated_tokens.
+    """

📜 Review details

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Review profile: CHILL

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📥 Commits

Reviewing files that changed from the base of the PR and between f8ad998 and 364f77a.

📒 Files selected for processing (1)

• services/chunking_service.py (3 hunks)