8 integrate LiDO and SPARQL endpoint for metadata extraction#9
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shashankmc merged 28 commits intoMay 18, 2026
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Co-authored-by: Copilot <copilot@github.com>
…f the 3-line xmltodict/json round-trip
…SE_DELAY_SECONDS Exponential backoff (1s, 2s) in extract_data_from_xml before retrying Fixed logging levels: exhausted retries → WARNING, unexpected exceptions → ERROR/WARNING Extracted _fetch_metadata_for_ecli_list() + _api_fetch() to replace ~80 lines duplicated verbatim in _process_single_source and _process_all_files_in_directory Removed unused batch_size parameter from all three function signatures multi_threading is now functional: wired through to _api_fetch, which chooses between thread pool and sequential execution All failure paths return None (not False) — consistent with get_rechtspraak(); return type updated to Optional[pd.DataFrame]
… mock_api_response; ensure_data_directories centralised here
…n_entry, check_api, _num_of_available_docs, get_exe_time, read_csv, save_csv, error paths of get_rechtspraak
…TTP errors), process_metadata_fields, get_data_from_api, fetch_eclis_via_sqlite, and get_rechtspraak_metadata input validation
…lite and test_fetch_eclis_via_sqlite_with_full_columns merged into one parametrized test; smoke tests strengthened with real assertions; stale is False assertions updated to is None Co-authored-by: Copilot <copilot@github.com>
…scriptions for get_rechtspraak_metadata and fetch_eclis_via_sqlite functions
…pes for consistency
…via_sqlite tests for consistency
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