OData Expertise Required for Building Filter Queries

Pain Points

1. OData syntax expertise is required to build filter queries.
2. Real‑world query examples for common filtering scenarios (operator, time range, limit failures, etc.) are not covered as part of the examples. Please refer to the suggestion section for an expected query.
3. Developers must manually construct complex OData filter strings.

Impact

1. Increased onboarding complexity for new developers unfamiliar with OData.
2. Higher risk of incorrect queries leading to incomplete, inaccurate, or failed data retrievals.
3. Slower development cycles due to repeated trial‑and‑error when constructing OData filters.

Suggestion

1. Providing real‑world OData query examples such as retrieving measurements for a given operator within a time range and filtering failures based on limit criteria would greatly reduce complexity.
2. Documentation on how to use Excel or Nigel for complex queries rather than relying on APIs.

AB#3744658

Review the existing Python API examples and documentation for filter queries, then identify where OData syntax and query construction are currently explained. Add practical examples for operator and time-range filters, limit-based failure filtering, and the suggested Excel or Nigel workflows; done means newcomers can construct these queries without trial and error.