Feature/remote repo support

[kratos06]

Summary by CodeRabbit

• New Features

  • Added support for reviewing individual commits from both local and remote (GitHub, GitLab) repositories via a new command-line interface.
  • Enhanced model selection flexibility, allowing direct specification of OpenAI model names and customizable defaults via environment variables.
  • Introduced estimated working hours in code evaluation reports for more detailed review insights.

• Bug Fixes

  • Improved error handling, logging, and recovery mechanisms throughout the evaluation and reporting process.

• Documentation

  • Updated and expanded English documentation, including detailed usage guides, API docs, and clearer instructions for model configuration and running the tool.

• Chores

  • Added new dependencies to support remote repository analysis and API interactions.
  • Removed obsolete scripts and test files to streamline the codebase.

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

This update introduces extensive enhancements and refactoring across the codebase. Major changes include a unified command-line interface in run_codedog.py supporting both local and remote (GitHub/GitLab) commit reviews, new modules for remote repository analysis, and improved code evaluation logic with estimated working hours and robust JSON handling. Model selection is now fully configurable via environment variables and documented accordingly. Several test and legacy scripts are removed or replaced by integrated functionality. Documentation and environment sample files are updated to reflect new configuration options and usage patterns. Additional dependencies are added to support remote repository interactions.

Changes

File(s)	Change Summary
.env.sample, docs/models.md	Expanded documentation and sample environment variables for model selection, including support for specifying default model versions and directly using OpenAI model names.
UPDATES.md	Replaced Chinese content with a comprehensive English version, reorganizing and expanding update notes, instructions, and future plans.
requirements.txt	Added dependencies: PyGithub, python-gitlab, aiohttp, python-dateutil.
codedog/utils/langchain_utils.py	Model loading functions now use environment variables for model selection, support pattern matching for OpenAI models, and provide expanded docstrings and error handling.
codedog/utils/code_evaluator.py	Major enhancements: added estimated working hours to evaluation results, improved JSON extraction and validation, input sanitization, whole-commit evaluation, and English logging.
codedog/utils/git_log_analyzer.py	Added get_commit_diff function to retrieve and filter diffs for a specific commit, supporting extension-based filtering.
codedog/utils/remote_repository_analyzer.py (new)	Introduced RemoteRepositoryAnalyzer class for analyzing commits and diffs from remote GitHub/GitLab repositories, with structured commit info and file filtering.
codedog/analyze_code.py (new)	Added module for analyzing code changes in repositories, filtering by author and timeframe, generating statistics, and saving results to JSON.
codedog/chains/pr_summary/translate_pr_summary_chain.py	Changed import of Field to use the standard pydantic package.
codedog/analysis_results_20250424_095117.json (new)	Added empty analysis results JSON file as a placeholder.
run_codedog.py	Unified and extended CLI: supports reviewing individual commits from local and remote (GitHub/GitLab) repositories, integrates new evaluation and diff logic, and updates argument parsing.
run_codedog_commit.py, run_codedog_eval.py, test_auto_review.py, test_gpt4o.py, test_grimoire_deepseek_r1_py.md	Removed legacy scripts and test files, consolidating their functionality into the main CLI and codebase.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant CLI (run_codedog.py)
    participant Repo Analyzer (local or remote)
    participant DiffEvaluator
    participant Model (LLM)
    participant Report/Email

    User->>CLI (run_codedog.py): Run 'commit' or 'eval' command with options
    CLI (run_codedog.py)->>Repo Analyzer: Fetch commit(s) and diffs (local or remote)
    Repo Analyzer-->>CLI (run_codedog.py): Return commit data and file diffs
    CLI (run_codedog.py)->>DiffEvaluator: Evaluate commit or file diffs
    DiffEvaluator->>Model (LLM): Send prompt(s) for code evaluation
    Model (LLM)-->>DiffEvaluator: Return evaluation results (scores, comments, estimated hours)
    DiffEvaluator-->>CLI (run_codedog.py): Return evaluation summary and details
    CLI (run_codedog.py)->>Report/Email: Generate markdown report and optionally send email
    Report/Email-->>User: Deliver report and/or email

Loading

Possibly related PRs

• kratos06/codedog#6: Introduced the initial .env.sample file with comprehensive environment variable templates, including model selection; this PR builds directly upon and modifies the same file and configuration.

Poem

Oh, what a hop through the code I see,
New models to summon, both four and three!
Commits from the cloud, or local, no fuss—
Evaluator now measures hours for us.
Docs in English, the samples are clear,
Out with the old, the new tools are here!
🐇✨ CodeDog leaps on, with a carrot-shaped cheer!

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📜 Recent review details

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

📥 Commits

Reviewing files that changed from the base of the PR and between 9eee5c7 and e1fce3a.

⛔ Files ignored due to path filters (1)

• poetry.lock is excluded by !**/*.lock

📒 Files selected for processing (17)

• .env.sample (1 hunks)
• UPDATES.md (1 hunks)
• codedog/analysis_results_20250424_095117.json (1 hunks)
• codedog/analyze_code.py (1 hunks)
• codedog/chains/pr_summary/translate_pr_summary_chain.py (1 hunks)
• codedog/utils/code_evaluator.py (38 hunks)
• codedog/utils/git_log_analyzer.py (2 hunks)
• codedog/utils/langchain_utils.py (2 hunks)
• codedog/utils/remote_repository_analyzer.py (1 hunks)
• docs/models.md (1 hunks)
• requirements.txt (1 hunks)
• run_codedog.py (8 hunks)
• run_codedog_commit.py (0 hunks)
• run_codedog_eval.py (0 hunks)
• test_auto_review.py (0 hunks)
• test_gpt4o.py (0 hunks)
• test_grimoire_deepseek_r1_py.md (0 hunks)

✨ Finishing Touches

• 📝 Generate Docstrings

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[github-actions]

Coverage Report

File	Stmts	Miss	Cover	Missing
codedog
analyze_code.py	19	19	0%	6–74
localization.py	17	2	88%	17, 30
codedog/actors/reporters
code_review.py	107	43	60%	48–92, 96–111, 116, 144, 146, 148, 150, 157
codedog/chains/code_review
base.py	64	31	52%	34, 42, 50, 57–72, 79–94, 100–111, 114–117, 122–125, 135
translate_code_review_chain.py	48	48	0%	1–103
codedog/chains/pr_summary
base.py	82	20	76%	54, 62, 70, 96–116, 133–136, 178–180, 194–201
translate_pr_summary_chain.py	60	35	42%	40–49, 61–69, 77–85, 91–96, 101–117, 120–130, 135–151
codedog/retrievers
github_retriever.py	100	41	59%	79, 87, 94–95, 98–99, 102, 111–114, 130–134, 150–151, 154, 163–167, 172–179, 197, 202, 205–209, 217–222, 225–228, 231, 242, 252
gitlab_retriever.py	119	76	36%	43–56, 62, 66, 70, 74, 78, 81–85, 88–92, 95, 104, 116, 124–141, 146–149, 155–163, 166–176, 179–203, 206–212, 216, 219–226, 234, 237–240, 243, 254–255, 258
codedog/templates
optimized_code_review_prompt.py	9	9	0%	8–259
codedog/utils
code_evaluator.py	1324	1324	0%	1–2989
email_utils.py	70	59	16%	31–49, 71–113, 134–158
git_hooks.py	45	45	0%	1–146
git_log_analyzer.py	170	170	0%	1–448
langchain_utils.py	233	182	22%	25–41, 64, 68, 78–152, 162–299, 309, 316–337, 344–365, 372–393, 399–410, 416–427, 449–479
remote_repository_analyzer.py	105	105	0%	1–248
TOTAL	3010	2209	27%

Tests	Skipped	Failures	Errors	Time
46	1 💤	1 ❌	1 🔥	4.034s ⏱️