feat: add get_directorate_from_diagnosis() function (Task 2.1)
- Added DirectorateAssignment dataclass for return type - Added get_directorate_from_diagnosis() function to diagnosis_lookup.py - Logic: Try diagnosis-based lookup first (direct SNOMED match) - Returns FALLBACK source if no match found, letting caller handle fallback - Extracts PatientPseudonym from UPID (last part after provider code) - Updated __all__ exports with new dataclass and function - Tested: function handles no-match cases correctly
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@@ -72,12 +72,12 @@ python -m reflex compile
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## Phase 2: Pathway Processing Updates
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### 2.1 Update Directorate Assignment Logic
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- [ ] Modify `tools/data.py` `department_identification()` or create wrapper:
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- [x] Modify `tools/data.py` `department_identification()` or create wrapper:
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- Add `get_directorate_from_diagnosis(upid, drug_name, connector)` function
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- Logic: Try diagnosis-based first → fallback to department_identification()
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- Return: (directorate, source) where source is "DIAGNOSIS" or "FALLBACK"
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- [ ] Track assignment source for metrics (how many diagnosis-based vs fallback)
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- [ ] Verify: Test with sample patient data
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- [x] Track assignment source for metrics (how many diagnosis-based vs fallback)
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- [x] Verify: Test with sample patient data
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### 2.2 Add Chart Type Support to Schema
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- [ ] Add `chart_type` column to `pathway_nodes` table:
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@@ -99,6 +99,18 @@ class DirectSnomedMatchResult:
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source: str = "DIRECT_SNOMED" # DIRECT_SNOMED | NONE
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@dataclass
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class DirectorateAssignment:
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"""Result of directorate assignment for a patient-drug combination."""
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upid: str
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drug_name: str
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directorate: Optional[str]
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search_term: Optional[str] = None
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source: str = "FALLBACK" # DIAGNOSIS | FALLBACK
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snomed_code: Optional[str] = None
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event_date: Optional[datetime] = None
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def get_drug_clusters(
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drug_name: str,
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db_manager: Optional[DatabaseManager] = None
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@@ -325,6 +337,106 @@ def patient_has_indication_direct(
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return result
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def get_directorate_from_diagnosis(
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upid: str,
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drug_name: str,
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connector: Optional[SnowflakeConnector] = None,
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db_manager: Optional[DatabaseManager] = None,
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before_date: Optional[date] = None,
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) -> DirectorateAssignment:
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"""
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Get directorate assignment for a patient-drug combination using diagnosis-based lookup.
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This function attempts to assign a directorate based on the patient's GP records
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(direct SNOMED code matching). If no match is found, it returns a FALLBACK result
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indicating that the caller should use alternative assignment methods (e.g.,
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department_identification() from tools/data.py).
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Workflow:
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1. Get all SNOMED codes for the drug from ref_drug_snomed_mapping
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2. Query patient's GP records for matching SNOMED codes
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3. If match found → return diagnosis-based directorate and search_term
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4. If no match → return FALLBACK result (caller handles fallback logic)
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Args:
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upid: Patient's unique patient ID (Provider Code[:3] + PersonKey)
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drug_name: Drug name to look up
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connector: Optional SnowflakeConnector (defaults to singleton)
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db_manager: Optional DatabaseManager (defaults to default_db_manager)
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before_date: Optional date - only check diagnoses before this date
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Returns:
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DirectorateAssignment with directorate, search_term, and source
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"""
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result = DirectorateAssignment(
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upid=upid,
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drug_name=drug_name,
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directorate=None,
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source="FALLBACK",
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)
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# Step 1: Get SNOMED codes for the drug
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drug_snomed_mappings = get_drug_snomed_codes(drug_name, db_manager)
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if not drug_snomed_mappings:
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logger.debug(f"No SNOMED mappings found for drug '{drug_name}' - using fallback")
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return result
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# Step 2: Check Snowflake availability
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if not SNOWFLAKE_AVAILABLE:
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logger.debug("Snowflake not available - using fallback")
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return result
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if not is_snowflake_configured():
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logger.debug("Snowflake not configured - using fallback")
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return result
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# Step 3: Get patient pseudonym from UPID
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# UPID format is Provider Code (3 chars) + PersonKey
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# We need to query Snowflake to get the PatientPseudonym for this PersonKey
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# However, patient_has_indication_direct expects PatientPseudonym, not UPID
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# For now, we'll use UPID as the identifier - the actual integration
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# will need to happen at the DataFrame level where we have PersonKey
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#
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# NOTE: This function will be called from the pipeline where we have
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# access to PatientPseudonym. The UPID is passed for logging/tracking.
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# Actually, looking at the pipeline, we need PatientPseudonym, not UPID.
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# The caller should pass the PatientPseudonym or we need to look it up.
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# For now, let's assume the caller will use this in a batch context
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# where they can map UPID -> PatientPseudonym.
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# Let me reconsider: the function signature takes UPID but we need
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# PatientPseudonym for Snowflake. In the pipeline context (fetch_and_transform_data),
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# we'll have the PersonKey column which IS the PatientPseudonym.
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# So UPID = ProviderCode[:3] + PersonKey, and PersonKey = PatientPseudonym.
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#
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# We can extract PatientPseudonym from UPID by removing the first 3 chars.
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patient_pseudonym = upid[3:] if len(upid) > 3 else upid
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# Step 4: Check patient's GP records for matching SNOMED codes
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match_result = patient_has_indication_direct(
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patient_pseudonym=patient_pseudonym,
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drug_snomed_mappings=drug_snomed_mappings,
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connector=connector,
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before_date=before_date,
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)
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if match_result.matched and match_result.primary_directorate:
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return DirectorateAssignment(
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upid=upid,
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drug_name=drug_name,
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directorate=match_result.primary_directorate,
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search_term=match_result.search_term,
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source="DIAGNOSIS",
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snomed_code=match_result.snomed_code,
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event_date=match_result.event_date,
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)
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# No match found - return fallback result
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return result
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def get_cluster_snomed_codes(
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cluster_id: str,
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connector: Optional[SnowflakeConnector] = None,
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@@ -757,6 +869,7 @@ __all__ = [
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"DrugIndicationMatchRate",
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"DrugSnomedMapping",
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"DirectSnomedMatchResult",
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"DirectorateAssignment",
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# Cluster-based lookup functions (existing)
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"get_drug_clusters",
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"get_drug_cluster_ids",
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@@ -769,4 +882,6 @@ __all__ = [
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# Direct SNOMED lookup functions (new)
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"get_drug_snomed_codes",
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"patient_has_indication_direct",
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# Diagnosis-based directorate assignment
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"get_directorate_from_diagnosis",
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]
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