Clean up a little usage of get_X_question_filters

Walkthrough

The pull request introduces extensive modifications to the OmenSubgraphHandler class in the omen_subgraph_handler.py file, focusing on parameter updates and internal logic for filtering and querying data. Key changes include the renaming and addition of parameters in the _build_where_statements and get_reality_question_filters methods, the integration of a new filtering method get_omen_question_filters, and updates to market query methods to utilize the new parameters. Additionally, the get_responses method has been refactored to align with these changes, along with general code cleanup for improved clarity.

Changes

File Path Change Summary

.../omen/omen_subgraph_handler.py - Updated method signatures for _build_where_statements, get_reality_question_filters, and get_questions to reflect new parameters.
- Refactored _build_where_statements to include new filtering logic.
- Integrated get_omen_question_filters for question filtering.
- Adjusted get_omen_binary_markets_simple and get_omen_binary_markets methods for parameter alignment.
- Enhanced get_reality_question_filters with additional parameters.
- Refactored get_responses to incorporate new filtering parameters.
- General code cleanup including removal of commented-out code.

.../omen/data_models.py - Added question_id property method to the Question class.
- Annotated questionId in RealityQuestion with a clarifying comment.
- Corrected indentation of answerFinalizedTimestamp and currentAnswer attributes in Question.

File Path	Change Summary
`.../omen/omen_subgraph_handler.py`	- Updated method signatures for `_build_where_statements`, `get_reality_question_filters`, and `get_questions` to reflect new parameters. - Refactored `_build_where_statements` to include new filtering logic. - Integrated `get_omen_question_filters` for question filtering. - Adjusted `get_omen_binary_markets_simple` and `get_omen_binary_markets` methods for parameter alignment. - Enhanced `get_reality_question_filters` with additional parameters. - Refactored `get_responses` to incorporate new filtering parameters. - General code cleanup including removal of commented-out code.
`.../omen/data_models.py`	- Added `question_id` property method to the `Question` class. - Annotated `questionId` in `RealityQuestion` with a clarifying comment. - Corrected indentation of `answerFinalizedTimestamp` and `currentAnswer` attributes in `Question`.

Possibly related PRs

#372: Modifies the _build_where_statements and get_omen_binary_markets methods in the same file, adding new parameters that enhance filtering capabilities.
#376: Introduces additional parameters to the get_responses method, enhancing its filtering logic.
#426: Adds new parameters to the get_responses method for more granular filtering.
#478: Removes the finalized parameter from several methods in the omen_subgraph_handler.py, simplifying the overall functionality.

Suggested reviewers

evangriffiths

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share

- [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)

🪧 Tips

### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit , please review it.` - `Generate unit testing code for this file.` - `Open a follow-up GitHub issue for this discussion.` - Files and specific lines of code (under the "Files changed" tab): Tag `@coderabbitai` in a new review comment at the desired location with your query. Examples: - `@coderabbitai generate unit testing code for this file.` - `@coderabbitai modularize this function.` - PR comments: Tag `@coderabbitai` in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples: - `@coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.` - `@coderabbitai read src/utils.ts and generate unit testing code.` - `@coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.` - `@coderabbitai help me debug CodeRabbit configuration file.` Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. ### CodeRabbit Commands (Invoked using PR comments) - `@coderabbitai pause` to pause the reviews on a PR. - `@coderabbitai resume` to resume the paused reviews. - `@coderabbitai review` to trigger an incremental review. This is useful when automatic reviews are disabled for the repository. - `@coderabbitai full review` to do a full review from scratch and review all the files again. - `@coderabbitai summary` to regenerate the summary of the PR. - `@coderabbitai resolve` resolve all the CodeRabbit review comments. - `@coderabbitai configuration` to show the current CodeRabbit configuration for the repository. - `@coderabbitai help` to get help. ### Other keywords and placeholders - Add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. - Add `@coderabbitai summary` to generate the high-level summary at a specific location in the PR description. - Add `@coderabbitai` anywhere in the PR title to generate the title automatically. ### CodeRabbit Configuration File (`.coderabbit.yaml`) - You can programmatically configure CodeRabbit by adding a `.coderabbit.yaml` file to the root of your repository. - Please see the [configuration documentation](https://docs.coderabbit.ai/guides/configure-coderabbit) for more information. - If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: `# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json` ### Documentation and Community - Visit our [Documentation](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](http://discord.gg/coderabbit) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.

gnosis / prediction-market-agent-tooling