Praneel Panchigar
a936e0ce05
Return None for dashboard output when dashboard postprocessing is off
* Return None for dashboard output when dashboard postprocessing is off
FINAL_RESULT_DF_DASHBOARD was initialized as an empty DataFrame even
when RUN_DASHBOARD_POSTPROCESSING was False, causing downstream code
to needlessly process it (reorder_columns, etc). Now returns None
when dashboard is not requested, matching the postprocess() contract.
* Merged dev into bugfix/retire_stale_client_file_processing
* Merge dev (with revert) into feature branch
* Re-apply retire stale client file_processing changes
Revert of the revert (4f53b528) to restore the original changes
from the feature branch for proper PR review.
* Merge branch 'bugfix/retire_stale_client_file_processing' of bitbucket.org:aarete/doczy.ai into bugfix/retire_stale_client_file_processing
Approved-by: Katon Minhas
54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
"""BCBS Promise client prompt_calls overrides.
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Only functions that MUST differ from SaaS live here. Everything else falls
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through to `src/pipelines/saas/prompts/prompt_calls.py` via the resolver shim
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at `src/pipelines/shared/prompts/prompt_calls.py`.
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See `docs/client_prompt_calls_drift_analysis.md` for the audit that retired
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the previous override set.
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"""
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import logging
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import src.prompts.prompt_templates as prompt_templates
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from src.utils import llm_utils, string_utils
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# CLIENT OVERRIDE — INTENTIONAL DIVERGENCE FROM SAAS
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# Reason: BCBS requires strict YES equality (`final_answer == "YES"`) rather
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# than SaaS's tolerant `"YES" in final_answer`. Borderline LLM responses
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# ("Yes.", "YES, ...") must be treated as NOT valid reimbursements for this
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# client. Requires business sign-off before alignment.
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# Reviewed: 2026-04-07
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def validate_reimbursements_for_llm(answer_dict: dict[str, str], filename: str) -> bool:
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"""Use LLM to determine if a service has actual reimbursement methodology."""
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if isinstance(answer_dict, str):
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answer_dict = {"SERVICE_TERM": "", "REIMB_TERM": answer_dict}
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if string_utils.is_empty(
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answer_dict.get("SERVICE_TERM", None)
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) or string_utils.is_empty(answer_dict.get("REIMB_TERM", None)):
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logging.warning(
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f"Missing SERVICE_TERM or REIMB_TERM in {filename}: {answer_dict}"
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)
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return False
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service_term, reimb_term = answer_dict["SERVICE_TERM"], answer_dict["REIMB_TERM"]
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prompt, _parser = prompt_templates.VALIDATE_REIMBURSEMENTS_PROMPT(
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service_term, reimb_term
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)
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logging.debug(f"Prompt for reimbursement validation in {filename}:\n{prompt}")
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llm_response = llm_utils.invoke_claude(
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prompt,
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"sonnet_latest",
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filename,
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cache=True,
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instruction=prompt_templates.VALIDATE_REIMBURSEMENTS_INSTRUCTION(),
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)
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logging.debug(
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f"LLM response for reimbursement validation in {filename}:\n{llm_response}"
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)
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final_answer = _parser(llm_response)
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return "YES" in final_answer
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