From ba91826e01e7232cb72f660f6a64aeb74667b288 Mon Sep 17 00:00:00 2001 From: Abdelkouddous LHACHIMI Date: Sat, 28 Mar 2026 04:25:29 +0100 Subject: [PATCH] Fix and Clean --- config/DO_Dashboard_Config.xlsx | Bin 76326 -> 76430 bytes do_dashboard.py | 39 +- do_organizations.json | 1670 +- do_organizations_old.json | 1122 + do_requests.json | 84386 ++++++++++++------------ do_requests_old.json | 42851 ++++++++++++ eb_dashboard.bat | 4 - eb_dashboard.py | 1539 - eb_dashboard_check_only-exe.bat | 3 - eb_dashboard_check_only.bat | 4 - eb_dashboard_check_only_debug-exe.bat | 3 - eb_dashboard_check_only_debug.bat | 4 - eb_dashboard_constants.py | 143 - eb_dashboard_debug-exe.bat | 3 - eb_dashboard_debug.bat | 4 - eb_dashboard_excel_export.py | 2094 - eb_dashboard_excel_only-exe.bat | 3 - eb_dashboard_excel_only.bat | 4 - eb_dashboard_quality_checks.py | 1313 - eb_dashboard_utils.py | 220 - 20 files changed, 87034 insertions(+), 48375 deletions(-) create mode 100644 do_organizations_old.json create mode 100644 do_requests_old.json delete mode 100644 eb_dashboard.bat delete mode 100644 eb_dashboard.py delete mode 100644 eb_dashboard_check_only-exe.bat delete mode 100644 eb_dashboard_check_only.bat delete mode 100644 eb_dashboard_check_only_debug-exe.bat delete mode 100644 eb_dashboard_check_only_debug.bat delete mode 100644 eb_dashboard_constants.py delete mode 100644 eb_dashboard_debug-exe.bat delete mode 100644 eb_dashboard_debug.bat delete mode 100644 eb_dashboard_excel_export.py delete mode 100644 eb_dashboard_excel_only-exe.bat delete mode 100644 eb_dashboard_excel_only.bat delete mode 100644 eb_dashboard_quality_checks.py delete mode 100644 eb_dashboard_utils.py diff --git a/config/DO_Dashboard_Config.xlsx b/config/DO_Dashboard_Config.xlsx index f054d5e3c85f1d5190a95037d8a375fda4d4853c..f0d7269dd04bb9aad3f3e646ed43f757b9f79e2b 100644 GIT binary patch delta 29650 zcmb4rc|26_`?obpXcrRgiBR^)(E8CryPZ_1>?GTmLuijeDcfj~7F*f(t&nY0GD-Gj zlHJ(GY|nk4Gs$=PJW_`#D 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zZeOR^{(DMT;FBzDh(taB?f)*|M-=h_n1Hk#*VRmj;cMpjFF*Nzol({|t>{1iCia_b z-L?7$InDoV<%)O!0*Kzk%Mq_Y0A`?s(~VmJ2p|dEbGhMf|MG0m4GV*>`CZZtzxqJn_CKqTeAh9O`A@mvtV zf$*dTkRybI0JI2g8UQWDf4xs5>i>PuC3NjGM}sgC0;mAX7!aYt05GCW=z2y)jQ=yJ zg|Ce&CWMMGKoJm&2oVOD03s2S!T`wsJ|6_F$n|C**${#v040Dl!chbOB0=x~u7~=6 Djb(dQ diff --git a/do_dashboard.py b/do_dashboard.py index 4ba369e..fcc82f1 100644 --- a/do_dashboard.py +++ b/do_dashboard.py @@ -873,6 +873,28 @@ def _execute_custom_function(function_name, args, output_request): return f"$$$$ Unknown Custom Function: {function_name}" +def _apply_date_format(strftime_template, iso_value): + """ + Parses an ISO 8601 date string and formats it using a strftime template. + + Returns the formatted string, or None if the source value cannot be parsed. + """ + iso_formats = [ + "%Y-%m-%dT%H:%M:%S.%fZ", + "%Y-%m-%dT%H:%M:%SZ", + "%Y-%m-%dT%H:%M:%S.%f", + "%Y-%m-%dT%H:%M:%S", + "%Y-%m-%dT%H:%M", + "%Y-%m-%d", + ] + for fmt in iso_formats: + try: + return datetime.strptime(iso_value, fmt).strftime(strftime_template) + except (ValueError, TypeError): + continue + return None + + def process_requests_mapping(output_request, request_data): """Processes and adds the requests mapping fields to the output request dictionary.""" for field in requests_mapping_config: @@ -946,7 +968,11 @@ def process_requests_mapping(output_request, request_data): # Post-processing: Apply field template field_template = field.get("field_template") if field_template and final_value not in ["undefined", "N/A"] and isinstance(final_value, (str, int, float, bool)): - final_value = field_template.replace("$value", str(final_value)) + if "%" in field_template: + formatted = _apply_date_format(field_template, str(final_value)) + final_value = formatted if formatted is not None else f"$$$$ Date Format Error: {final_value}" + else: + final_value = field_template.replace("$value", str(final_value)) if field_group not in output_request: output_request[field_group] = {} @@ -1139,8 +1165,8 @@ def _process_single_request(worklist_request, mapping_dict): request_detail = {} # --- 2. Fetch professional names (prescriber + requester, deduplicated) --- - prescriber_id = worklist_request.get("prescriber") - requester_id = worklist_request.get("requester") + prescriber_id = request_detail.get("prescriber") + requester_id = request_detail.get("requester") # Deduplicate IDs before API call unique_ids = list({pid for pid in [prescriber_id, requester_id] if pid}) @@ -1150,7 +1176,7 @@ def _process_single_request(worklist_request, mapping_dict): request_detail["prescriberName"] = professionals.get(prescriber_id) if prescriber_id else None request_detail["requesterName"] = professionals.get(requester_id) if requester_id else None - # --- 3. Inject patient identity fields from worklist --- + # --- 3. Inject patient identity fields from worklist (only source for these fields) --- identity = worklist_request.get("identity") or {} request_detail["lastname"] = identity.get("lastname") request_detail["firstname"] = identity.get("firstname") @@ -1162,7 +1188,7 @@ def _process_single_request(worklist_request, mapping_dict): request_detail["status"] = diagnostic_status # --- 5. Center mapping: inject Center_Name from labeledOrganization --- - labeled_org = worklist_request.get("labeledOrganization") + labeled_org = request_detail.get("labeledOrganization") if labeled_org: org_normalized = labeled_org.strip().lower() request_detail["Center_Name"] = mapping_dict.get(org_normalized, labeled_org) @@ -1175,7 +1201,7 @@ def _process_single_request(worklist_request, mapping_dict): # --- 7. Build meta for organization building and sorting --- request_meta = { - "org_id": worklist_request.get("organization"), + "org_id": request_detail.get("organization"), "org_name": labeled_org, "center_name": request_detail.get("Center_Name"), "status": request_detail.get("status"), @@ -1447,6 +1473,7 @@ def main(): print("Sorting results...") all_results.sort(key=lambda x: ( + x[1].get("center_name") or "", x[1].get("lastname") or "", x[1].get("firstname") or "", x[1].get("id") or "" diff --git a/do_organizations.json b/do_organizations.json index eec51de..5b99bd0 100644 --- a/do_organizations.json +++ b/do_organizations.json @@ -1,24 +1,8 @@ [ { - "id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "name": null, - "center_name": null, - "total_count": 11, - "sent_count": 9, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 2, - "positive_count": 2, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - APHM HOPITAL NORD", - "name": null, - "center_name": null, + "id": "f784ee6f-27b5-4afe-ba23-4f839d96535c", + "name": "APHM HOPITAL NORD", + "center_name": "APHM Hôpital Nord", "total_count": 2, "sent_count": 0, "accepted_count": 0, @@ -32,57 +16,25 @@ "uninterpretable_count": 0 }, { - "id": "FR - CENTRE HOSPITALIER DE CAYENNE", - "name": null, - "center_name": null, - "total_count": 15, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 4, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 8, - "positive_count": 5, - "negative_count": 3, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE JEAN MINJOZ BESANCON", - "name": null, - "center_name": null, - "total_count": 50, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 6, - "sequencing_count": 7, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 34, - "positive_count": 25, - "negative_count": 9, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER - FALCONAJA - BASTIA", - "name": null, - "center_name": null, - "total_count": 11, + "id": "5847c4fa-4025-4303-80eb-deaa07b80c0b", + "name": "GHU APHP SORBONNE UNIVERSITE SITE PITIE SALPETRIERE", + "center_name": "APHP Site Pitié Salpêtriere", + "total_count": 13, "sent_count": 0, "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 1, - "ai_count": 2, + "rejected_count": 2, + "sequencing_count": 3, + "ai_count": 0, "result_available_count": 0, "report_available_count": 8, - "positive_count": 5, - "negative_count": 3, + "positive_count": 8, + "negative_count": 0, "uninterpretable_count": 0 }, { - "id": "FR - CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", - "name": null, - "center_name": null, + "id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "center_name": "CH Annecy Genevois – Site d’Annecy", "total_count": 24, "sent_count": 2, "accepted_count": 0, @@ -96,105 +48,25 @@ "uninterpretable_count": 0 }, { - "id": "FR - CENTRE HOSPITALIER DE CALAIS.", - "name": null, - "center_name": null, - "total_count": 34, - "sent_count": 2, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 7, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 23, - "positive_count": 15, - "negative_count": 8, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER DE CANNES SIMONE VEIL", - "name": null, - "center_name": null, - "total_count": 12, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 4, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 5, - "positive_count": 4, - "negative_count": 1, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER DE LENS", - "name": null, - "center_name": null, - "total_count": 6, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 1, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 3, - "positive_count": 3, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER DE PAU", - "name": null, - "center_name": null, - "total_count": 3, + "id": "817429dd-0d7c-4df9-ad70-2f19c205e05a", + "name": "CENTRE HOSPITALIER - FALCONAJA - BASTIA", + "center_name": "CH Bastia", + "total_count": 11, "sent_count": 0, "accepted_count": 0, "rejected_count": 0, "sequencing_count": 1, "ai_count": 2, "result_available_count": 0, - "report_available_count": 0, - "positive_count": 0, - "negative_count": 0, + "report_available_count": 8, + "positive_count": 5, + "negative_count": 3, "uninterpretable_count": 0 }, { - "id": "FR - CENTRE HOSPITALIER GENERAL DE VALENCIENNES", - "name": null, - "center_name": null, - "total_count": 25, - "sent_count": 4, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 0, - "ai_count": 3, - "result_available_count": 0, - "report_available_count": 17, - "positive_count": 13, - "negative_count": 4, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER LES ESCARTONS A BRIANCON", - "name": null, - "center_name": null, - "total_count": 24, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 2, - "sequencing_count": 7, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 15, - "positive_count": 10, - "negative_count": 5, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER METROPOLE SAVOIE - CHAMBERY NH", - "name": null, - "center_name": null, + "id": "58d5b536-b326-4713-9137-bb6f852df0be", + "name": "CENTRE HOSPITALIER METROPOLE SAVOIE - CHAMBERY NH", + "center_name": "CH Métropole Savoie - Site Chambéry", "total_count": 10, "sent_count": 2, "accepted_count": 0, @@ -208,57 +80,9 @@ "uninterpretable_count": 0 }, { - "id": "FR - CENTRE HOSPITALIER REGIONAL UNIVERSITAIRE BRETONNEAU", - "name": null, - "center_name": null, - "total_count": 20, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 1, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 16, - "positive_count": 11, - "negative_count": 5, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE COTE DE NACRE CAEN", - "name": null, - "center_name": null, - "total_count": 81, - "sent_count": 3, - "accepted_count": 0, - "rejected_count": 15, - "sequencing_count": 5, - "ai_count": 12, - "result_available_count": 0, - "report_available_count": 46, - "positive_count": 31, - "negative_count": 15, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE DE POINTE-A-PITRE", - "name": null, - "center_name": null, - "total_count": 2, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 2, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 0, - "positive_count": 0, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CENTRE HOSPITALIER VICTOR PROVO ROUBAIX", - "name": null, - "center_name": null, + "id": "13306b61-7ea6-4d60-b89c-b0df2d9d1605", + "name": "CENTRE HOSPITALIER VICTOR PROVO ROUBAIX", + "center_name": "CH Victor Provo Roubaix", "total_count": 2, "sent_count": 0, "accepted_count": 0, @@ -272,9 +96,105 @@ "uninterpretable_count": 0 }, { - "id": "FR - CHI DE MONT DE MARSAN ET DU PAYS DES SOURCES", - "name": null, - "center_name": null, + "id": "d17ddcc4-64db-4cf5-83c5-146f9a060254", + "name": "CENTRE HOSPITALIER DE CALAIS.", + "center_name": "CH de Calais", + "total_count": 34, + "sent_count": 2, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 7, + "ai_count": 1, + "result_available_count": 0, + "report_available_count": 23, + "positive_count": 15, + "negative_count": 8, + "uninterpretable_count": 0 + }, + { + "id": "0466558d-077c-4a51-9d25-2e15e00fabaf", + "name": "CENTRE HOSPITALIER DE CANNES SIMONE VEIL", + "center_name": "CH de Cannes Simone Veil", + "total_count": 12, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 4, + "ai_count": 1, + "result_available_count": 0, + "report_available_count": 5, + "positive_count": 4, + "negative_count": 1, + "uninterpretable_count": 0 + }, + { + "id": "1ac60b10-08de-4639-9a49-67167f85844e", + "name": "CENTRE HOSPITALIER DE LENS", + "center_name": "CH de Lens", + "total_count": 6, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 1, + "ai_count": 1, + "result_available_count": 0, + "report_available_count": 3, + "positive_count": 3, + "negative_count": 0, + "uninterpretable_count": 0 + }, + { + "id": "aa3e8684-07e0-45d9-9cee-144df2e4b430", + "name": "CENTRE HOSPITALIER DE PAU", + "center_name": "CH de Pau", + "total_count": 3, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 0, + "sequencing_count": 1, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 0, + "positive_count": 0, + "negative_count": 0, + "uninterpretable_count": 0 + }, + { + "id": "4aef30cb-778b-409a-b6e2-898bfd91c850", + "name": "CENTRE HOSPITALIER GENERAL DE VALENCIENNES", + "center_name": "CH de Valenciennes", + "total_count": 25, + "sent_count": 4, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 0, + "ai_count": 3, + "result_available_count": 0, + "report_available_count": 17, + "positive_count": 13, + "negative_count": 4, + "uninterpretable_count": 0 + }, + { + "id": "b0ba921e-e24a-41c2-b769-a2aa108cdd58", + "name": "CENTRE HOSPITALIER LES ESCARTONS A BRIANCON", + "center_name": "CH des Escartons de Briançon", + "total_count": 24, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 2, + "sequencing_count": 7, + "ai_count": 0, + "result_available_count": 0, + "report_available_count": 15, + "positive_count": 10, + "negative_count": 5, + "uninterpretable_count": 0 + }, + { + "id": "8c27716f-edfe-4a4e-9189-09f39cc64395", + "name": "CHI DE MONT DE MARSAN ET DU PAYS DES SOURCES", + "center_name": "CHI Mont de Marsan", "total_count": 4, "sent_count": 0, "accepted_count": 0, @@ -288,9 +208,25 @@ "uninterpretable_count": 0 }, { - "id": "FR - CHP SAINT GREGOIRE", - "name": null, - "center_name": null, + "id": "b74c365a-fc63-4763-b57d-abb609debd3b", + "name": "CTRE HOSPITALIER INTERCOMMUNAL POISSY ST GERMAIN SITE POISSY", + "center_name": "CHI Poissy St Germain en Laye - Site Poissy", + "total_count": 13, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 4, + "sequencing_count": 0, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 6, + "positive_count": 4, + "negative_count": 2, + "uninterpretable_count": 0 + }, + { + "id": "88976976-ecd1-498d-903c-21fe33611d58", + "name": "CHP SAINT GREGOIRE", + "center_name": "CHP SAINT GREGOIRE", "total_count": 2, "sent_count": 1, "accepted_count": 0, @@ -304,9 +240,9 @@ "uninterpretable_count": 0 }, { - "id": "FR - CHR METZ - THIONVILLE - HOPITAL DE MERCY", - "name": null, - "center_name": null, + "id": "aa6af654-2cf2-4714-885d-a0e40b6f6f0a", + "name": "CHR METZ - THIONVILLE - HOPITAL DE MERCY", + "center_name": "CHR Metz - Thionville - Hôpital de Mercy", "total_count": 62, "sent_count": 0, "accepted_count": 0, @@ -320,73 +256,9 @@ "uninterpretable_count": 0 }, { - "id": "FR - CHRU BREST SITE HOPITAL MORVAN", - "name": null, - "center_name": null, - "total_count": 25, - "sent_count": 2, - "accepted_count": 0, - "rejected_count": 3, - "sequencing_count": 0, - "ai_count": 4, - "result_available_count": 0, - "report_available_count": 16, - "positive_count": 12, - "negative_count": 4, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHRU DE RENNES SITE HOPITAL SUD", - "name": null, - "center_name": null, - "total_count": 15, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 6, - "sequencing_count": 1, - "ai_count": 4, - "result_available_count": 0, - "report_available_count": 3, - "positive_count": 3, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHRU NANCY - MATERNITE", - "name": null, - "center_name": null, - "total_count": 13, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 1, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 9, - "positive_count": 6, - "negative_count": 3, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU AMIENS SUD", - "name": null, - "center_name": null, - "total_count": 4, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 1, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 0, - "positive_count": 0, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU ANGERS SITE LARREY", - "name": null, - "center_name": null, + "id": "f7d3526b-18d6-43af-b52c-5ca23bac798e", + "name": "CHU ANGERS SITE LARREY", + "center_name": "CHR d’Angers", "total_count": 62, "sent_count": 2, "accepted_count": 0, @@ -400,313 +272,41 @@ "uninterpretable_count": 0 }, { - "id": "FR - CHU DE MARTINIQUE SITE MFME", - "name": null, - "center_name": null, - "total_count": 5, - "sent_count": 0, + "id": "d82d64eb-a1cf-4635-a99f-23def12c7cb5", + "name": "CHRU BREST SITE HOPITAL MORVAN", + "center_name": "CHRU Brest - Site Hôpital Morvan", + "total_count": 25, + "sent_count": 2, "accepted_count": 0, - "rejected_count": 0, + "rejected_count": 3, "sequencing_count": 0, - "ai_count": 0, + "ai_count": 4, "result_available_count": 0, - "report_available_count": 5, - "positive_count": 5, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU DE NANTES SITE HOTEL DIEU HOPITAL MERE ENFANT", - "name": null, - "center_name": null, - "total_count": 9, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 2, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 6, - "positive_count": 5, - "negative_count": 1, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU DE NICE HOPITAL DE L'ARCHET", - "name": null, - "center_name": null, - "total_count": 14, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 2, - "sequencing_count": 0, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 11, - "positive_count": 8, - "negative_count": 3, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU LA MILETRIE", - "name": null, - "center_name": null, - "total_count": 27, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 2, - "sequencing_count": 1, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 23, - "positive_count": 15, - "negative_count": 8, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU MONTPELLIER HOPITAL ARNAUD DE VILLENEUVE", - "name": null, - "center_name": null, - "total_count": 4, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 3, - "positive_count": 2, - "negative_count": 1, - "uninterpretable_count": 0 - }, - { - "id": "FR - CHU SITE FELIX GUYON (SAINT DENIS)", - "name": null, - "center_name": null, - "total_count": 5, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 5, - "positive_count": 5, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CLINIQUE AXIUM", - "name": null, - "center_name": null, - "total_count": 13, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 9, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 3, - "positive_count": 3, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CLINIQUE BELHARRA", - "name": null, - "center_name": null, - "total_count": 3, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 2, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 0, - "positive_count": 0, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - CLINIQUE BELLEDONNE", - "name": null, - "center_name": null, - "total_count": 34, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 2, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 31, - "positive_count": 20, - "negative_count": 11, - "uninterpretable_count": 0 - }, - { - "id": "FR - CLINIQUE MUTUALISTE LA SAGESSE RENNES", - "name": null, - "center_name": null, - "total_count": 20, - "sent_count": 8, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 0, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 9, - "positive_count": 5, + "report_available_count": 16, + "positive_count": 12, "negative_count": 4, "uninterpretable_count": 0 }, { - "id": "FR - CTRE HOSPITALIER INTERCOMMUNAL POISSY ST GERMAIN SITE POISSY", - "name": null, - "center_name": null, - "total_count": 13, + "id": "b4b35661-87c8-4333-bfb1-3ce4f1c77565", + "name": "CENTRE HOSPITALIER REGIONAL UNIVERSITAIRE BRETONNEAU", + "center_name": "CHRU Bretonneau", + "total_count": 20, "sent_count": 1, "accepted_count": 0, - "rejected_count": 4, - "sequencing_count": 0, - "ai_count": 2, + "rejected_count": 1, + "sequencing_count": 1, + "ai_count": 1, "result_available_count": 0, - "report_available_count": 6, - "positive_count": 4, - "negative_count": 2, - "uninterpretable_count": 0 - }, - { - "id": "FR - GHBS-SITE HÔPITAL DU SCORFF", - "name": null, - "center_name": null, - "total_count": 11, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 2, - "result_available_count": 0, - "report_available_count": 8, - "positive_count": 5, - "negative_count": 3, - "uninterpretable_count": 0 - }, - { - "id": "FR - GHNE Groupe Hospitalier Nord Essonne - Site LONGJUMEAU", - "name": null, - "center_name": null, - "total_count": 1, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 0, - "positive_count": 0, - "negative_count": 0, - "uninterpretable_count": 0 - }, - { - "id": "FR - GHU APHP SORBONNE UNIVERSITE SITE PITIE SALPETRIERE", - "name": null, - "center_name": null, - "total_count": 13, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 2, - 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GROUPE HOSPITALIER DE LA REGION DE MULHOUSE ET SUD ALSACE", - "name": null, - "center_name": null, - "total_count": 12, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 5, - "sequencing_count": 2, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 4, - "positive_count": 2, - "negative_count": 2, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL CHARLES NICOLLE CHU ROUEN", - "name": null, - "center_name": null, - "total_count": 37, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 2, - "sequencing_count": 3, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 30, - "positive_count": 19, - "negative_count": 11, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL CROIX-ROUSSE - HOSPICES CIVILS DE LYON", - "name": null, - "center_name": null, - "total_count": 40, - "sent_count": 3, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 2, - "ai_count": 5, - "result_available_count": 0, - "report_available_count": 30, - "positive_count": 24, - "negative_count": 6, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL DE HAUTEPIERRE", - "name": null, - "center_name": null, + "id": "1fd6c63b-d909-45d8-8c70-ecb12501c1d1", + "name": "HOPITAL DE HAUTEPIERRE", + "center_name": "CHRU Strasbourg - Hôpital de Hautepierre", "total_count": 24, "sent_count": 2, "accepted_count": 0, @@ -720,57 +320,41 @@ "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL DE LA CROIX SAINT SIMON", - "name": null, - "center_name": null, - "total_count": 2, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 0, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 1, - "positive_count": 0, - "negative_count": 1, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL DE LA MERE ET DE L'ENFANT", - "name": null, - "center_name": null, - "total_count": 31, - "sent_count": 1, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 3, - "result_available_count": 0, - "report_available_count": 27, - "positive_count": 18, - "negative_count": 9, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL DE RANGUEIL CHU TOULOUSE", - "name": null, - "center_name": null, - "total_count": 19, + "id": "f790c171-9523-48b6-a246-fdb26628eb6c", + "name": "CHRU NANCY - MATERNITE", + "center_name": "CHRU de Nancy - Maternité", + "total_count": 13, "sent_count": 0, "accepted_count": 0, "rejected_count": 1, "sequencing_count": 1, "ai_count": 2, "result_available_count": 0, - "report_available_count": 15, - "positive_count": 11, - "negative_count": 4, + "report_available_count": 9, + "positive_count": 6, + "negative_count": 3, "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL ESTAING - CHU CLERMONT-FERRAND", - "name": null, - "center_name": null, + "id": "56f427f0-be35-493b-8049-46b747c0105e", + "name": "CHU AMIENS SUD", + "center_name": "CHU Amiens Sud", + "total_count": 4, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 1, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 0, + "positive_count": 0, + "negative_count": 0, + "uninterpretable_count": 0 + }, + { + "id": "8ef8564e-836c-4c03-b4ec-8e28fa76c3c0", + "name": "HOPITAL ESTAING - CHU CLERMONT-FERRAND", + "center_name": "CHU Clermont-Ferrand - Site Estaing", "total_count": 15, "sent_count": 1, "accepted_count": 0, @@ -784,73 +368,9 @@ "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL EUROPEEN", - "name": null, - "center_name": null, - "total_count": 13, - "sent_count": 3, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 6, - "result_available_count": 0, - "report_available_count": 4, - "positive_count": 2, - "negative_count": 2, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL FOCH", - "name": null, - "center_name": null, - "total_count": 21, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 6, - "sequencing_count": 2, - "ai_count": 1, - "result_available_count": 0, - "report_available_count": 12, - "positive_count": 10, - "negative_count": 2, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL JACQUES MONOD CH LE HAVRE", - "name": null, - "center_name": null, - "total_count": 7, - "sent_count": 0, - "accepted_count": 0, - "rejected_count": 1, - "sequencing_count": 1, - "ai_count": 0, - "result_available_count": 0, - "report_available_count": 5, - "positive_count": 3, - "negative_count": 2, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", - "name": null, - "center_name": null, - "total_count": 53, - "sent_count": 4, - "accepted_count": 0, - "rejected_count": 4, - "sequencing_count": 3, - "ai_count": 10, - "result_available_count": 0, - "report_available_count": 32, - "positive_count": 23, - "negative_count": 9, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL LE BOCAGE CHRU DIJON", - "name": null, - "center_name": null, + "id": "6316db1a-4a90-4e45-a518-0095d63f7c36", + "name": "HOPITAL LE BOCAGE CHRU DIJON", + "center_name": "CHU Dijon", "total_count": 8, "sent_count": 0, "accepted_count": 0, @@ -864,41 +384,105 @@ "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL LYON SUD - HOSPICES CIVILS DE LYON", - "name": null, - "center_name": null, - "total_count": 8, + "id": "743d0a1a-7edf-4fe6-9d65-0c14363f2153", + "name": "CENTRE HOSPITALIER UNIVERSITAIRE JEAN MINJOZ BESANCON", + "center_name": "CHU Jean Minjoz Besançon - Pôle Mère-Femme", + "total_count": 50, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 6, + "sequencing_count": 7, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 34, + "positive_count": 25, + "negative_count": 9, + "uninterpretable_count": 0 + }, + { + "id": "d1ef2ced-0206-4725-a08c-454d71e823ec", + "name": "HOPITAL DE LA MERE ET DE L'ENFANT", + "center_name": "CHU Limoges - Hôpital de la Mère et de l'Enfant", + "total_count": 31, "sent_count": 1, "accepted_count": 0, "rejected_count": 0, - "sequencing_count": 2, + "sequencing_count": 0, + "ai_count": 3, + "result_available_count": 0, + "report_available_count": 27, + "positive_count": 18, + "negative_count": 9, + "uninterpretable_count": 0 + }, + { + "id": "f07a7374-d731-4fcf-86e9-2f36e5faf342", + "name": "CHU MONTPELLIER HOPITAL ARNAUD DE VILLENEUVE", + "center_name": "CHU Montpellier - Hôpital Arnaud de Villeneuve", + "total_count": 4, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 0, + "sequencing_count": 0, "ai_count": 1, "result_available_count": 0, - "report_available_count": 4, - "positive_count": 4, + "report_available_count": 3, + "positive_count": 2, + "negative_count": 1, + "uninterpretable_count": 0 + }, + { + "id": "12daafee-970b-4781-9121-994d06e3a766", + "name": "CHU DE NICE HOPITAL DE L'ARCHET", + "center_name": "CHU Nice Archet", + "total_count": 14, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 2, + "sequencing_count": 0, + "ai_count": 1, + "result_available_count": 0, + "report_available_count": 11, + "positive_count": 8, + "negative_count": 3, + "uninterpretable_count": 0 + }, + { + "id": "c03b88b5-3cd2-4336-9048-19c239baf5ec", + "name": "CHRU DE RENNES SITE HOPITAL SUD", + "center_name": "CHU Rennes", + "total_count": 15, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 6, + "sequencing_count": 1, + "ai_count": 4, + "result_available_count": 0, + "report_available_count": 3, + "positive_count": 3, "negative_count": 0, "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL MAISON BLANCHE CHU REIMS", - "name": null, - "center_name": null, - "total_count": 46, + "id": "a4b3dfea-1220-4987-b287-f58fde1d0ee5", + "name": "CENTRE HOSPITALIER UNIVERSITAIRE COTE DE NACRE CAEN", + "center_name": "CHU de Caen", + "total_count": 81, "sent_count": 3, "accepted_count": 0, - "rejected_count": 2, - "sequencing_count": 8, - "ai_count": 0, + "rejected_count": 15, + "sequencing_count": 5, + "ai_count": 12, "result_available_count": 0, - "report_available_count": 33, - "positive_count": 23, - "negative_count": 10, + "report_available_count": 46, + "positive_count": 31, + "negative_count": 15, "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL NORD - CHU DE GRENOBLE ALPES", - "name": null, - "center_name": null, + "id": "9c64545a-b622-4ef9-be0f-f5cc21b9cd66", + "name": "HOPITAL NORD - CHU DE GRENOBLE ALPES", + "center_name": "CHU de Grenoble - Hôpital Nord", "total_count": 30, "sent_count": 0, "accepted_count": 0, @@ -912,9 +496,137 @@ "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL NORD - CHU DE SAINT-ETIENNE", - "name": null, - "center_name": null, + "id": "6af3784d-5d57-47c3-b924-0d13008ebd88", + "name": "CENTRE HOSPITALIER UNIVERSITAIRE DE POINTE-A-PITRE", + "center_name": "CHU de Guadeloupe - Pointe-à-Pitre", + "total_count": 2, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 0, + "sequencing_count": 2, + "ai_count": 0, + "result_available_count": 0, + "report_available_count": 0, + "positive_count": 0, + "negative_count": 0, + "uninterpretable_count": 0 + }, + { + "id": "2ba1f179-425e-4d88-97a7-88a097e639ab", + "name": "CENTRE HOSPITALIER DE CAYENNE", + "center_name": "CHU de Guyane - Site de Cayenne", + "total_count": 15, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 0, + "sequencing_count": 4, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 8, + "positive_count": 5, + "negative_count": 3, + "uninterpretable_count": 0 + }, + { + "id": "8488229d-f426-4bdd-923c-f638041b223c", + "name": "HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", + "center_name": "CHU de Lille - 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Hôpital Maison Blanche", + "total_count": 46, + "sent_count": 3, + "accepted_count": 0, + "rejected_count": 2, + "sequencing_count": 8, + "ai_count": 0, + "result_available_count": 0, + "report_available_count": 33, + "positive_count": 23, + "negative_count": 10, + "uninterpretable_count": 0 + }, + { + "id": "b77b301c-10fa-4eca-bb5b-51506766e158", + "name": "HOPITAL CHARLES NICOLLE CHU ROUEN", + "center_name": "CHU de Rouen Normandie - Hôpital Charles-Nicolle", + "total_count": 37, + "sent_count": 1, + "accepted_count": 0, + "rejected_count": 2, + "sequencing_count": 3, + "ai_count": 1, + "result_available_count": 0, + "report_available_count": 30, + "positive_count": 19, + "negative_count": 11, + "uninterpretable_count": 0 + }, + { + "id": "002312ec-69fb-4582-9e8f-7c266e5479d2", + "name": "HOPITAL NORD - CHU DE SAINT-ETIENNE", + "center_name": "CHU de Saint-Étienne - Hôpital Nord", "total_count": 35, "sent_count": 5, "accepted_count": 0, @@ -928,169 +640,89 @@ "uninterpretable_count": 0 }, { - "id": "FR - HOPITAL PRIVE D ANTONY", - "name": null, - "center_name": null, - "total_count": 14, + "id": "0ce39aac-6b5a-418b-8430-c4432e6cd78f", + "name": "HOPITAL DE RANGUEIL CHU TOULOUSE", + "center_name": "CHU de Toulouse - Hôpital Rangueil", + "total_count": 19, + "sent_count": 0, + "accepted_count": 0, + "rejected_count": 1, + "sequencing_count": 1, + "ai_count": 2, + "result_available_count": 0, + "report_available_count": 15, + "positive_count": 11, + "negative_count": 4, + "uninterpretable_count": 0 + }, + { + "id": "fe25553c-4894-4291-b303-c19d2a1c6f0f", + "name": "CHU SITE FELIX GUYON (SAINT DENIS)", + "center_name": "CHU la Réunion - Site Félix Guyon (SAINT DENIS)", + "total_count": 5, "sent_count": 0, "accepted_count": 0, "rejected_count": 0, - "sequencing_count": 3, + "sequencing_count": 0, "ai_count": 0, "result_available_count": 0, - "report_available_count": 11, - "positive_count": 10, - "negative_count": 1, - "uninterpretable_count": 0 - }, - { - "id": "FR - HOPITAL PRIVE D'EURE ET LOIR", - 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"name": null, - "center_name": null, - "total_count": 24, + "id": "f6665185-b1ae-4847-a378-652d35158cee", + "name": "CLINIQUE BELHARRA", + "center_name": "Clinique Belharra", + "total_count": 3, "sent_count": 1, "accepted_count": 0, - "rejected_count": 1, + "rejected_count": 0, "sequencing_count": 2, "ai_count": 0, "result_available_count": 0, - "report_available_count": 20, - "positive_count": 17, - "negative_count": 3, - "uninterpretable_count": 0 - }, - { - "id": "FR - RC Orga Test", - "name": null, - "center_name": null, - "total_count": 3, - "sent_count": 3, - "accepted_count": 0, - "rejected_count": 0, - "sequencing_count": 0, - "ai_count": 0, - "result_available_count": 0, "report_available_count": 0, "positive_count": 0, "negative_count": 0, "uninterpretable_count": 0 }, { - "id": "FR - SA CLINIQUE TIVOLI-DUCOS", - "name": null, - "center_name": null, - "total_count": 125, - "sent_count": 5, - "accepted_count": 0, - "rejected_count": 9, - "sequencing_count": 10, - "ai_count": 15, - "result_available_count": 0, - "report_available_count": 86, - "positive_count": 60, - "negative_count": 26, - "uninterpretable_count": 0 - }, - { - "id": "FR - SANTE ATLANTIQUE", - "name": null, - "center_name": null, - "total_count": 19, - "sent_count": 5, + "id": "5e6d7afa-6532-495f-a84a-34f644aeaa0f", + "name": "CLINIQUE BELLEDONNE", + "center_name": "Clinique Belledonne", + "total_count": 34, + "sent_count": 0, "accepted_count": 0, "rejected_count": 0, - "sequencing_count": 6, + "sequencing_count": 2, "ai_count": 1, "result_available_count": 0, - "report_available_count": 7, - "positive_count": 5, - "negative_count": 2, + "report_available_count": 31, + "positive_count": 20, + "negative_count": 11, "uninterpretable_count": 0 }, { - "id": "FR - SCM RX TOULOUSE CLINIQUE PASTEUR", - "name": null, - "center_name": null, + "id": "b5f30dc5-da3f-4f8b-9a39-33f0fefb7196", + "name": "SCM RX TOULOUSE CLINIQUE PASTEUR", + "center_name": "Clinique Pasteur Toulouse", "total_count": 22, "sent_count": 1, "accepted_count": 0, @@ -1104,9 +736,361 @@ "uninterpretable_count": 0 }, { - 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}, - "Request": { - "Request_Id": "f91a770d-f75d-4b8e-b28b-7095caec92b3", - "Request_Identifier": "LAB1768207029896", - "Requester_Name": "Docteur LEFEBVRE Victoria", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-12T08:39:26.606Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110101013", - "External_Lab_Id": "6A1UEW", - "Sample_Collection_Date": "2026-01-05T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "dc63192f-e863-4057-8520-e136de90dfec", - "Patient_First_Name": "Bet", - "Patient_Last_Name": "Natalie", - "Patient_Name": "undefined", - "Patient_Birthday": "01-01-1999 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "732ab360-f2ea-4bac-b106-edc3c8b32dc5", - "Request_Identifier": "LAB1773400209771", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-13T11:10:06.269Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "11111111111138", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-03-13T00:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "dc63192f-e863-4057-8520-e136de90dfec", - "Patient_First_Name": "Bet", - "Patient_Last_Name": "Natalie", - "Patient_Name": "undefined", - "Patient_Birthday": "01-01-1999 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "b68d7bd0-64fa-4294-820c-7cd50c0a5553", - "Request_Identifier": "LAB1773399995714", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-13T11:06:33.403Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "11111111111128", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-03-13T00:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "dc63192f-e863-4057-8520-e136de90dfec", - "Patient_First_Name": "Bet", - "Patient_Last_Name": "Natalie", - "Patient_Name": "undefined", - "Patient_Birthday": "01-01-1999 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "e7d71ae8-6ab4-4488-9b4e-7beb9fe4c998", - "Request_Identifier": "LAB1773400579533", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-13T11:16:17.102Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "11111111111438", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-03-13T00:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHU ANGERS SITE LARREY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "f8778e54-42c5-4838-9357-b3d10ac6f286", - "Patient_First_Name": "Camille", - "Patient_Last_Name": "Neau", - "Patient_Name": "undefined", - "Patient_Birthday": "27-07-1996 (29 ans)", - "Patient_Age": "29 ans" - }, - "Request": { - "Request_Id": "cd981d42-c277-41cf-a370-e3848057585c", - "Request_Identifier": "LAB1772723641676", - "Requester_Name": "Docteur RIO CONSTANCE", - "Prescriber_Name": "Docteur BOUET PIERRE-EMMANUEL", - "Submitted_Date": "2026-03-05T15:19:28.939Z", - "Request_Status": "IA en Cours", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110100670", - "External_Lab_Id": "450002399", - "Sample_Collection_Date": "2026-03-05T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "a46910e0-c8b1-4fda-bdb1-4b2e94b035f9", - "Patient_First_Name": "Patricia", - "Patient_Last_Name": "Noah", - "Patient_Name": "undefined", - "Patient_Birthday": "12-02-1991 (35 ans)", - "Patient_Age": "35 ans" - }, - "Request": { - "Request_Id": "e67e9897-b50e-4bed-948c-7855c061df8a", - "Request_Identifier": "LAB1770420120562", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-06T23:21:57.408Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "01010101010105", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-01-21T00:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHU ANGERS SITE LARREY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "b3d703ad-9c2d-4f95-92a7-edcc1fcb4b21", - "Patient_First_Name": "Anaelle", - "Patient_Last_Name": "OCTAU", - "Patient_Name": "undefined", - "Patient_Birthday": "19-11-1998 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "d37a7015-40a7-4187-885a-67d79b1c29cc", - "Request_Identifier": "LAB1773152789760", - "Requester_Name": "Docteur DELBOS LEA", - "Prescriber_Name": "Docteur DELBOS LEA", - "Submitted_Date": "2026-03-10T14:30:27.348Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110100472", - "External_Lab_Id": "449652548", - "Sample_Collection_Date": "2026-03-10T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHU DE NANTES SITE HOTEL DIEU HOPITAL MERE ENFANT", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "54e29db7-3ee3-4240-978a-087bf181f24a", - "Patient_First_Name": "Charline", - "Patient_Last_Name": "OLIBO", - "Patient_Name": "undefined", - "Patient_Birthday": "22-03-1989 (37 ans)", - "Patient_Age": "37 ans" - }, - "Request": { - 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"Requester_Name": "Docteur WAFO ESTELLE", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-29T10:52:58.965Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110103599", - "External_Lab_Id": "400298195", - "Sample_Collection_Date": "2026-01-29T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE D ANTONY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "1f7b2dad-9ef4-4145-95bd-2abdd058b868", - "Patient_First_Name": "Agathe", - "Patient_Last_Name": "ORSINI", - "Patient_Name": "undefined", - "Patient_Birthday": "03-06-1998 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "045f5900-1952-4b81-8d1c-32647241b816", - "Request_Identifier": "LAB1768426268096", - "Requester_Name": "Docteur ARISTIZABAL Patrick", - "Prescriber_Name": "Docteur ARISTIZABAL Patrick", - "Submitted_Date": "2026-02-05T16:35:26.374Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110001970", - "External_Lab_Id": "001046326", - "Sample_Collection_Date": "2026-01-15T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - GHU APHP SORBONNE UNIVERSITE SITE TENON", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "fc7386a9-946b-4d20-ba30-6f791bebdd32", - "Patient_First_Name": "MIRNA", - "Patient_Last_Name": "OSMAN-HENRY", - "Patient_Name": "undefined", - "Patient_Birthday": "24-05-2000 (25 ans)", - "Patient_Age": "25 ans" - }, - "Request": { - "Request_Id": "c05ae79f-9b72-4e38-8da5-7f583771646f", - "Request_Identifier": "LAB1770220647350", - "Requester_Name": "Docteur DABI Yohann", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-04T16:03:28.053Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Négatif" - }, - "Sample": { - "Tube_Id": "55241110103319", - "External_Lab_Id": "8018800415", - "Sample_Collection_Date": "2026-02-03T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHR METZ - THIONVILLE - HOPITAL DE MERCY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "69662bd3-0edb-46b5-abd0-228b21de5769", - "Patient_First_Name": "Anissa", - "Patient_Last_Name": "OUALI", - "Patient_Name": "undefined", - "Patient_Birthday": "30-08-1994 (31 ans)", - "Patient_Age": "31 ans" - }, - "Request": { - "Request_Id": "d49556c6-0272-4841-a1b9-c9ab29848fd3", - "Request_Identifier": "LAB1770882133359", - "Requester_Name": "SALGUEIRO Marilyne", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-12T07:46:27.475Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110103781", - "External_Lab_Id": "4129022", - "Sample_Collection_Date": "2026-02-11T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE JEAN MINJOZ BESANCON", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "b0957f20-31e0-4e43-9671-3962a429a5a2", - "Patient_First_Name": "ORLANE", - "Patient_Last_Name": "OUDOT", - "Patient_Name": "undefined", - "Patient_Birthday": "04-01-1999 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "2eaf96af-e0ea-4781-b6dd-42ce6a6631b4", - "Request_Identifier": "LAB1770133831168", - "Requester_Name": "Docteur RAMANAH RAJEEV", - "Prescriber_Name": "Docteur RAMANAH RAJEEV", - "Submitted_Date": "2026-02-03T16:07:32.477Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110101048", - "External_Lab_Id": "5550210462", - "Sample_Collection_Date": "2026-02-03T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "56009637-503b-4c21-b2e9-d626c1e76094", - "Patient_First_Name": "ALESSANDRA", - "Patient_Last_Name": "OWCZAECZAK", - "Patient_Name": "undefined", - "Patient_Birthday": "27-12-2007 (18 ans)", - "Patient_Age": "18 ans" - }, - "Request": { - "Request_Id": "0d91ed33-f6aa-40bb-af0b-3c6a1a4ea480", - "Request_Identifier": "LAB1769417360104", - "Requester_Name": "Docteur DEVÉMY Constance", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-03T09:27:57.169Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110100601", - "External_Lab_Id": "500252676", - "Sample_Collection_Date": "2026-01-30T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE DE POINTE-A-PITRE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "db7d6d29-2640-4233-bf7a-960f54ecfd09", - "Patient_First_Name": "Karyne", - "Patient_Last_Name": "Otvas", - "Patient_Name": "undefined", - "Patient_Birthday": "09-11-2001 (24 ans)", - "Patient_Age": "24 ans" - }, - "Request": { - "Request_Id": "7353c5ae-648a-4e9b-a0ce-46cf3c92ca2c", - "Request_Identifier": "LAB1774531249530", - "Requester_Name": "Docteur OLDANI ELENA", - "Prescriber_Name": "Docteur OLDANI ELENA", - "Submitted_Date": "2026-03-26T14:02:00.546Z", - "Request_Status": "Séquençage", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102063", - "External_Lab_Id": "841740", - "Sample_Collection_Date": "2026-03-18T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - GHU APHP SORBONNE UNIVERSITE SITE TENON", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "62295476-5596-4cad-9e3b-415981f57990", - "Patient_First_Name": "YESICA MILDREY", - "Patient_Last_Name": "PALACIO OSPINA", - "Patient_Name": "undefined", - "Patient_Birthday": "12-05-1988 (37 ans)", - "Patient_Age": "37 ans" - }, - "Request": { - "Request_Id": "6e1862d7-f3e5-4f54-815f-e7d6d1499817", - "Request_Identifier": "LAB1767113598855", - "Requester_Name": "Docteur DABI Yohann", - "Prescriber_Name": "undefined", - 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FR - Ziwig Care

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"Requester_Name": "Docteur ESCALON Julien", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-30T09:35:05.712Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110101610", - "External_Lab_Id": "20160718", + "Tube_Id": "55241110004461", + "External_Lab_Id": "ROZmag", "Sample_Collection_Date": "2026-01-29T12:00:00.000Z" } }, { "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER DE CAYENNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "ff54010e-df88-4e7e-a88d-e6335a4ce108", - "Patient_First_Name": "BEATRICE", - "Patient_Last_Name": "YAGO", - "Patient_Name": "undefined", - "Patient_Birthday": "10-08-1987 (38 ans)", - "Patient_Age": "38 ans" + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "de3ff1be-f566-476a-b277-7b8d983317d5", + "Patient_First_Name": "Emilie", + "Patient_Last_Name": "GOMES", + "Patient_Name": "GOMES Emilie", + "Patient_Birthday": "20-04-1988 (37 ans)", + "Patient_Age": "37 ans" }, "Request": { - 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"Patient_First_Name": "JULIETTE", - "Patient_Last_Name": "YON", - "Patient_Name": "undefined", - "Patient_Birthday": "02-07-1999 (26 ans)", - "Patient_Age": "26 ans" + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "b554c10c-0f11-4c5f-8bf9-54b3f3566de3", + "Patient_First_Name": "Leilou", + "Patient_Last_Name": "HENNEGRAVE KOLL", + "Patient_Name": "HENNEGRAVE KOLL Leilou", + "Patient_Birthday": "25-03-2003 (23 ans)", + "Patient_Age": "23 ans" }, "Request": { - "Request_Id": "63518e85-37d4-4313-bd7c-68fc1205af46", - "Request_Identifier": "LAB1770991456238", - "Requester_Name": "Docteur TOULEIMAT SALMA", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-13T14:08:14.860Z", + "Request_Id": "4db35108-89fc-4238-ac6c-efd162de579c", + "Request_Identifier": "LAB1772177676866", + "Requester_Name": "Docteur REMY Roselyne", + "Prescriber_Name": "Docteur REMY Roselyne", + "Submitted_Date": "2026-02-27T09:20:42.061Z", "Request_Status": "Rapport disponible", "Diagnostic_Result": "Négatif" }, "Sample": { - "Tube_Id": "55241110100131", - "External_Lab_Id": "001224196883", - "Sample_Collection_Date": "2026-02-13T12:00:00.000Z" + "Tube_Id": "55241110001500", + "External_Lab_Id": "2408003330", + "Sample_Collection_Date": "2026-02-27T12:00:00.000Z" } }, { "Patient_Identification": { - "Organization_Id": "FR - HOPITAL CHARLES NICOLLE CHU ROUEN", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "cc9920e9-0e51-41d9-b733-9575ba6cb5f1", - "Patient_First_Name": "LEANE", - "Patient_Last_Name": "YON", - "Patient_Name": "undefined", - "Patient_Birthday": "08-12-1998 (27 ans)", - "Patient_Age": "27 ans" + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "08be371a-7e66-4613-b448-7b012c622be8", + "Patient_First_Name": "Camille", + "Patient_Last_Name": "KERVALET", + "Patient_Name": "KERVALET Camille", + "Patient_Birthday": "23-02-2008 (18 ans)", + "Patient_Age": "18 ans" }, "Request": { - 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"Patient_First_Name": "Paulyne", - "Patient_Last_Name": "YON", - "Patient_Name": "undefined", - "Patient_Birthday": "03-06-2005 (20 ans)", - "Patient_Age": "20 ans" + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "0d3698ee-5674-427a-b225-3833d9e262c7", + "Patient_First_Name": "Amélie", + "Patient_Last_Name": "LACROIX", + "Patient_Name": "LACROIX Amélie", + "Patient_Birthday": "13-10-1997 (28 ans)", + "Patient_Age": "28 ans" }, "Request": { - "Request_Id": "35bde452-9652-4ff6-a9b8-fca3c30a1bf6", - "Request_Identifier": "LAB1774359458280", - "Requester_Name": "Docteur SANGUIN Sophie", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-24T13:53:31.327Z", + "Request_Id": "b3f0b74a-ca7d-4922-978e-f30436307de8", + "Request_Identifier": "LAB1771592833678", + "Requester_Name": "Docteur REMY Roselyne", + "Prescriber_Name": "Docteur REMY Roselyne", + "Submitted_Date": "2026-02-20T13:17:14.566Z", "Request_Status": "Rejetée", "Diagnostic_Result": "undefined" }, "Sample": { - "Tube_Id": "55241110002203", - "External_Lab_Id": "A10166728407", - "Sample_Collection_Date": "2026-03-20T12:00:00.000Z" + "Tube_Id": "55241110102597", + "External_Lab_Id": "0001002977", + "Sample_Collection_Date": "2026-02-20T12:00:00.000Z" } }, { "Patient_Identification": { - "Organization_Id": "FR - GHBS-SITE HÔPITAL DU SCORFF", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "b6750d70-4bbe-49dd-b4f5-a2e9bb1deca2", - "Patient_First_Name": "LAURA", - "Patient_Last_Name": "YVINEC", - "Patient_Name": "undefined", - "Patient_Birthday": "24-02-1987 (39 ans)", - "Patient_Age": "39 ans" + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "0d3698ee-5674-427a-b225-3833d9e262c7", + "Patient_First_Name": "Amélie", + "Patient_Last_Name": "LACROIX", + "Patient_Name": "LACROIX Amélie", + "Patient_Birthday": "13-10-1997 (28 ans)", + "Patient_Age": "28 ans" }, "Request": { - "Request_Id": "b4d80e06-57ab-4717-9a72-9516c902b08d", - "Request_Identifier": "LAB1772620691287", - "Requester_Name": "Docteur SCATTARELLI Antoine", - "Prescriber_Name": "Docteur SCATTARELLI Antoine", - "Submitted_Date": "2026-03-04T10:47:17.858Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110101634", - "External_Lab_Id": "000500329506", - "Sample_Collection_Date": "2026-03-04T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE D ANTONY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "4012ae0f-7a7f-4605-9aac-c1aaf356e15c", - "Patient_First_Name": "Marianne", - "Patient_Last_Name": "YVON", - "Patient_Name": "undefined", - "Patient_Birthday": "15-07-1998 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "e560ae5a-ac32-401e-acdd-f81c3800824b", - "Request_Identifier": "LAB1768425912582", - "Requester_Name": "Docteur ARISTIZABAL Patrick", - "Prescriber_Name": "Docteur ARISTIZABAL Patrick", - "Submitted_Date": "2026-02-05T16:33:21.370Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110000891", - "External_Lab_Id": "001731359", - "Sample_Collection_Date": "2026-01-15T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHR METZ - THIONVILLE - HOPITAL DE MERCY", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "8808f007-8132-4a6e-91d6-0dd5c1d47517", - "Patient_First_Name": "Ange Audrey", - "Patient_Last_Name": "ZEZE", - "Patient_Name": "undefined", - "Patient_Birthday": "08-03-2006 (20 ans)", - "Patient_Age": "20 ans" - }, - "Request": { - "Request_Id": "fb6117e7-a184-49d4-b065-97586aeb29df", - "Request_Identifier": "LAB1768811384447", - "Requester_Name": "BERNARDI MARINE", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-19T08:33:43.674Z", - "Request_Status": "Rapport disponible", - 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"Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "2d3acb76-5770-4e01-b106-e3de1acf9e55", - "Patient_First_Name": "Amensar", - "Patient_Last_Name": "Zakaria", - "Patient_Name": "undefined", - "Patient_Birthday": "01-01-2000 (26 ans)", + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "f8a5a13d-7b67-4d6c-aeee-00111a736207", + "Patient_First_Name": "Lili", + "Patient_Last_Name": "LANNOY", + "Patient_Name": "LANNOY Lili", + "Patient_Birthday": "09-09-1999 (26 ans)", "Patient_Age": "26 ans" }, "Request": { - "Request_Id": "602e8cdd-220a-4190-82c4-97a848eb94ce", - "Request_Identifier": "LAB1769203469950", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-23T21:24:28.540Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "12345678901236", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-01-22T01:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CLINIQUE BELLEDONNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "b22b228c-5971-4312-bcf7-e88accd9525b", - "Patient_First_Name": "solene", - "Patient_Last_Name": "abert", - "Patient_Name": "undefined", - "Patient_Birthday": "11-09-1996 (29 ans)", - "Patient_Age": "29 ans" - }, - "Request": { - "Request_Id": "e3288e58-0d88-475a-96e7-45a072824da0", - "Request_Identifier": "LAB1769767592322", - "Requester_Name": "Docteur ESCALON Julien", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-30T10:08:55.024Z", + "Request_Id": "de6ce144-43a9-4b1e-b75c-c662c9458478", + "Request_Identifier": "LAB1769179849625", + "Requester_Name": "Docteur REMY Roselyne", + "Prescriber_Name": "Docteur REMY Roselyne", + "Submitted_Date": "2026-02-05T14:57:06.231Z", "Request_Status": "Rapport disponible", "Diagnostic_Result": "Négatif" }, "Sample": { - "Tube_Id": "55241110101488", - "External_Lab_Id": "20155217", - "Sample_Collection_Date": "2026-01-30T12:00:00.000Z" + "Tube_Id": "55241110004349", + "External_Lab_Id": "2510002888", + "Sample_Collection_Date": "2026-02-05T12:00:00.000Z" } }, { "Patient_Identification": { - "Organization_Id": "

FR - Ziwig Care

Test - Ziwig Care FR

", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "2124ea2e-06a5-40b9-9c46-d66938ba2eac", - "Patient_First_Name": "tester", - "Patient_Last_Name": "achraf", - "Patient_Name": "undefined", - "Patient_Birthday": "04-01-2000 (26 ans)", - "Patient_Age": "26 ans" - }, - "Request": { - "Request_Id": "25104d78-df00-4624-b444-327c94dec601", - "Request_Identifier": "LAB1772206259508", - "Requester_Name": "undefined", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-27T15:30:57.713Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "12345678953456", - "External_Lab_Id": "undefined", - "Sample_Collection_Date": "2026-02-11T00:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL DE LA MERE ET DE L'ENFANT", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "a60413bf-1952-459d-93ab-49d4c8879592", - "Patient_First_Name": "lea", - "Patient_Last_Name": "adam", - "Patient_Name": "undefined", - "Patient_Birthday": "16-04-2005 (20 ans)", - "Patient_Age": "20 ans" - }, - "Request": { - "Request_Id": "2dd8900e-ee0a-4fea-966e-7242e88e5056", - "Request_Identifier": "LAB1772447890959", - "Requester_Name": "Docteur BIDAN Laura", - "Prescriber_Name": "Docteur BIDAN Laura", - "Submitted_Date": "2026-03-02T10:42:39.247Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110102584", - "External_Lab_Id": "901322239", - "Sample_Collection_Date": "2026-03-02T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL NORD - CHU DE SAINT-ETIENNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "e89a959c-8b88-43f8-955b-fe18819b7f22", - "Patient_First_Name": "alison", - "Patient_Last_Name": "aix", - "Patient_Name": "undefined", - "Patient_Birthday": "26-01-2000 (26 ans)", - "Patient_Age": "26 ans" - }, - "Request": { - "Request_Id": "20571d3e-8f42-4f49-86cd-9392f7befbe8", - "Request_Identifier": "LAB1774271790099", - "Requester_Name": "Docteur RIPAMONTI BERTRAND", - "Prescriber_Name": "Docteur RIPAMONTI BERTRAND", - "Submitted_Date": "2026-03-23T13:20:35.534Z", - "Request_Status": "Séquençage", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55250410005041", - "External_Lab_Id": "201658925", - "Sample_Collection_Date": "2026-03-23T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "6c493007-83cf-4669-864f-adeac6ff8677", - "Patient_First_Name": "julie", - "Patient_Last_Name": "albers", - "Patient_Name": "undefined", - "Patient_Birthday": "19-12-1992 (33 ans)", - "Patient_Age": "33 ans" - }, - "Request": { - "Request_Id": "6781fd33-3006-4062-8562-09d6df94ec5c", - "Request_Identifier": "LAB1771242888569", - "Requester_Name": "Docteur PARMENTIER Anne", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-16T13:38:39.119Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110100826", - "External_Lab_Id": "000944073", - "Sample_Collection_Date": "2026-02-13T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - POLYCLINIQUE JEAN VILLAR", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "2b829604-c4f6-4bf0-ba8a-c48a9867f6a8", - "Patient_First_Name": "mandine", - "Patient_Last_Name": "arnous", - "Patient_Name": "undefined", - "Patient_Birthday": "07-09-1998 (27 ans)", - "Patient_Age": "27 ans" - }, - "Request": { - "Request_Id": "fc5766ae-796e-47a9-9385-b8d72feadd79", - "Request_Identifier": "LAB1768408724288", - "Requester_Name": "Docteur BENICHOU RENAUD", - "Prescriber_Name": "Docteur BENICHOU RENAUD", - "Submitted_Date": "2026-01-19T20:29:56.519Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110104222", - "External_Lab_Id": "497667", - "Sample_Collection_Date": "2026-01-14T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "226f8c85-2e78-4c89-b4a8-e39394190332", - "Patient_First_Name": "sheims", - "Patient_Last_Name": "atmani", - "Patient_Name": "undefined", - "Patient_Birthday": "09-05-2001 (24 ans)", - "Patient_Age": "24 ans" - }, - "Request": { - "Request_Id": "b4ac5bf3-4978-4de7-a918-40aff784e1cc", - "Request_Identifier": "LAB1771242371790", - "Requester_Name": "Docteur PARMENTIER Anne", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-16T13:14:56.395Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110101017", - "External_Lab_Id": "103236647", - "Sample_Collection_Date": "2026-02-16T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL ESTAING - CHU CLERMONT-FERRAND", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "e0936be2-afb6-416e-b139-b09b59e012a1", - "Patient_First_Name": "lorine", - "Patient_Last_Name": "aussourd", - "Patient_Name": "undefined", - "Patient_Birthday": "25-05-2003 (22 ans)", - "Patient_Age": "22 ans" - }, - "Request": { - "Request_Id": "21e2f1d4-59e3-4f79-8812-db0969df9815", - "Request_Identifier": "LAB1773756242444", - "Requester_Name": "Docteur LE GLAUNEC Rebecca", - "Prescriber_Name": "Docteur LE GLAUNEC Rebecca", - "Submitted_Date": "2026-03-17T14:10:30.506Z", - "Request_Status": "IA en Cours", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102735", - "External_Lab_Id": "3418836", - "Sample_Collection_Date": "2026-03-17T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHRU BREST SITE HOPITAL MORVAN", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "0a57e026-8e04-46c6-a3b8-28b7069f8ed3", - "Patient_First_Name": "eva", - "Patient_Last_Name": "autret", - "Patient_Name": "undefined", - "Patient_Birthday": "31-03-2003 (22 ans)", - "Patient_Age": "22 ans" - }, - "Request": { - "Request_Id": "cdabb43b-e8f8-4b13-ac59-9268af8f5c52", - "Request_Identifier": "LAB1770802644217", - "Requester_Name": "Docteur BOUEE SARAH", - "Prescriber_Name": "Docteur BOUEE SARAH", - "Submitted_Date": "2026-02-11T09:48:15.607Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110002753", - "External_Lab_Id": "100100861", - "Sample_Collection_Date": "2026-02-11T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER DE CALAIS.", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "40aa82ff-a6f4-4aa6-80aa-bf469df34935", - "Patient_First_Name": "justine", - "Patient_Last_Name": "bailleul bernasinski", - "Patient_Name": "undefined", - "Patient_Birthday": "28-06-1995 (30 ans)", - "Patient_Age": "30 ans" - }, - "Request": { - "Request_Id": "5e371fdf-6731-4529-b563-089dc24d1af8", - "Request_Identifier": "LAB1768903023986", - "Requester_Name": "Docteur FICHAUX HELENE", - "Prescriber_Name": "Docteur FICHAUX HELENE", - "Submitted_Date": "2026-01-20T10:02:38.482Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Négatif" - }, - "Sample": { - "Tube_Id": "55241110003222", - "External_Lab_Id": "000000081045", - "Sample_Collection_Date": "2026-01-20T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "10aef633-a723-4d08-b901-54fa57e2937b", - "Patient_First_Name": "ludivine", - "Patient_Last_Name": "barbier julien", - "Patient_Name": "undefined", - "Patient_Birthday": "08-03-2004 (22 ans)", - "Patient_Age": "22 ans" - }, - "Request": { - "Request_Id": "0839cbc6-9f6b-46b2-8a5c-6d40822bf2a7", - "Request_Identifier": "LAB1773666611995", - "Requester_Name": "Docteur PARMENTIER Anne", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-16T13:12:56.677Z", - "Request_Status": "IA en Cours", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102924", - "External_Lab_Id": "27340384", - "Sample_Collection_Date": "2026-03-16T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER UNIVERSITAIRE COTE DE NACRE CAEN", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "33b112b5-2dcc-4c47-a271-cf65e2ba39c9", - "Patient_First_Name": "Elsa", - "Patient_Last_Name": "bardinet", - "Patient_Name": "undefined", - "Patient_Birthday": "27-06-2000 (25 ans)", + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "e02a8480-4c26-4f5b-859c-d731519c7cb6", + "Patient_First_Name": "Céline", + "Patient_Last_Name": "LAQUE", + "Patient_Name": "LAQUE Céline", + "Patient_Birthday": "19-02-2001 (25 ans)", "Patient_Age": "25 ans" }, "Request": { - "Request_Id": "f88a71a9-d770-4d29-9312-f0c4175a2cdc", - "Request_Identifier": "LAB1773736195150", - "Requester_Name": "Docteur JAMARD-LENGLINE ESTELLE", - "Prescriber_Name": "Docteur JAMARD-LENGLINE ESTELLE", - "Submitted_Date": "2026-03-17T08:33:14.299Z", - "Request_Status": "IA en Cours", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102944", - "External_Lab_Id": "101524681", - "Sample_Collection_Date": "2026-03-17T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CLINIQUE BELLEDONNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "bd467686-9d95-42ef-83f4-8feffdf3f94c", - "Patient_First_Name": "sana", - "Patient_Last_Name": "barjan", - "Patient_Name": "undefined", - "Patient_Birthday": "21-12-1995 (30 ans)", - "Patient_Age": "30 ans" - }, - "Request": { - "Request_Id": "e9c13a09-aa8f-44d1-a07e-00a21a94cc6d", - "Request_Identifier": "LAB1767612215155", - "Requester_Name": "Docteur ESCALON Julien", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-01-27T10:02:45.323Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110102343", - "External_Lab_Id": "20151559", - "Sample_Collection_Date": "2026-01-14T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL FOCH", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "b667747b-a727-45d2-9a73-35dbdf400573", - "Patient_First_Name": "clara", - "Patient_Last_Name": "barthelemy", - "Patient_Name": "undefined", - "Patient_Birthday": "21-10-2004 (21 ans)", - "Patient_Age": "21 ans" - }, - "Request": { - "Request_Id": "f0d69aeb-65ab-40de-975d-b1048c9ac919", - "Request_Identifier": "LAB1770648799574", - "Requester_Name": "Docteur CARBONNEL MARIE", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-09T15:04:58.377Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110000885", - "External_Lab_Id": "0300891205", - "Sample_Collection_Date": "2026-02-09T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CLINIQUE BELLEDONNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "2d9bf7ab-629b-4c16-ab1d-344e070cc7e8", - "Patient_First_Name": "sarah", - "Patient_Last_Name": "basso", - "Patient_Name": "undefined", - "Patient_Birthday": "01-08-2003 (22 ans)", - "Patient_Age": "22 ans" - }, - "Request": { - "Request_Id": "dc54223c-faf4-4190-8890-59ff09ef1e13", - "Request_Identifier": "LAB1773049903640", - "Requester_Name": "Docteur ESCALON Julien", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-09T09:52:59.465Z", + "Request_Id": "f7afc170-4120-4228-b645-7fa55c83ac8b", + "Request_Identifier": "LAB1770370336761", + "Requester_Name": "Docteur REMY Roselyne", + "Prescriber_Name": "Docteur REMY Roselyne", + "Submitted_Date": "2026-02-17T12:18:33.866Z", "Request_Status": "Rapport disponible", "Diagnostic_Result": "Négatif" }, "Sample": { - "Tube_Id": "55241110103773", - "External_Lab_Id": "20036111", - "Sample_Collection_Date": "2026-03-04T12:00:00.000Z" + "Tube_Id": "55241110004407", + "External_Lab_Id": "2602000294", + "Sample_Collection_Date": "2026-02-06T12:00:00.000Z" } }, { "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", - "Organization_Name": "undefined", - "Center_Name": "undefined", + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "38608e75-9d50-494d-a559-8fa90f3c4a16", + "Patient_First_Name": "Charlotte", + "Patient_Last_Name": "LAUROUA", + "Patient_Name": "LAUROUA Charlotte", + "Patient_Birthday": "04-03-2004 (22 ans)", + "Patient_Age": "22 ans" + }, + "Request": { + "Request_Id": "ec60d9c1-2d11-4d8b-905b-74cbb2773f28", + "Request_Identifier": "LAB1772208777909", + "Requester_Name": "Docteur REMY Roselyne", + "Prescriber_Name": "Docteur REMY Roselyne", + "Submitted_Date": "2026-02-27T16:22:44.786Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Positif" + }, + "Sample": { + "Tube_Id": "55241110004364", + "External_Lab_Id": "040300034", + "Sample_Collection_Date": "2026-02-27T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", + "Patient_Id": "31e328b2-5eb4-4d73-a60d-2b910649db61", + "Patient_First_Name": "CHLOE", + "Patient_Last_Name": "MORIN", + "Patient_Name": "MORIN CHLOE", + "Patient_Birthday": "20-05-2006 (19 ans)", + "Patient_Age": "19 ans" + }, + "Request": { + "Request_Id": "f1372c1b-a06f-4d87-86b1-c389d9312248", + "Request_Identifier": "LAB1772794091941", + "Requester_Name": "Docteur MONIER Clémence", + "Prescriber_Name": "Docteur MONIER Clémence", + "Submitted_Date": "2026-03-06T10:51:16.113Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Positif" + }, + "Sample": { + "Tube_Id": "55241110004444", + "External_Lab_Id": "2511002223", + "Sample_Collection_Date": "2026-03-06T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", "Patient_Id": "178cce5d-f8dd-4c9e-b7be-8d81e9e46ade", "Patient_First_Name": "aurelie", "Patient_Last_Name": "bastard rosset", - "Patient_Name": "undefined", + "Patient_Name": "bastard rosset aurelie", "Patient_Birthday": "15-06-2005 (20 ans)", "Patient_Age": "20 ans" }, @@ -35776,202 +811,13 @@ }, { "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE NATECIA", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "ea54ee73-9e72-4a2e-88a6-6b46ae923278", - "Patient_First_Name": "zoe", - "Patient_Last_Name": "baudran", - "Patient_Name": "undefined", - "Patient_Birthday": "18-09-2007 (18 ans)", - "Patient_Age": "18 ans" - }, - "Request": { - "Request_Id": "775b61f9-006a-4046-8f93-4e5514797763", - "Request_Identifier": "LAB1771419342343", - "Requester_Name": "Docteur KEDOUS MOHAMED-ZIED", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-18T13:14:40.074Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110103214", - "External_Lab_Id": "411912", - "Sample_Collection_Date": "2026-02-18T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHRU DE RENNES SITE HOPITAL SUD", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "c8897cde-f745-494e-9a05-5acd4422b7c4", - "Patient_First_Name": "maia", - "Patient_Last_Name": "beghuin", - "Patient_Name": "undefined", - "Patient_Birthday": "23-05-1999 (26 ans)", - "Patient_Age": "26 ans" - }, - "Request": { - "Request_Id": "c8b7daa5-5fc9-4a11-9c6a-f648bb1f7390", - "Request_Identifier": "LAB1773936140690", - "Requester_Name": "GUERIN SONIA", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-19T16:08:58.276Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110106066", - "External_Lab_Id": "249843166", - "Sample_Collection_Date": "2026-03-19T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL NORD - CHU DE GRENOBLE ALPES", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "139a7a53-bbf3-4e1a-866c-5363dae3b4f1", - "Patient_First_Name": "lea", - "Patient_Last_Name": "behar", - "Patient_Name": "undefined", - "Patient_Birthday": "27-09-2005 (20 ans)", - "Patient_Age": "20 ans" - }, - "Request": { - "Request_Id": "a83b3f65-ea54-4d37-b5b6-70cc9fabdfc6", - "Request_Identifier": "LAB1767685793022", - "Requester_Name": "Docteur MICHY Thierry", - "Prescriber_Name": "Docteur MICHY Thierry", - "Submitted_Date": "2026-01-06T08:02:52.659Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Négatif" - }, - "Sample": { - "Tube_Id": "55241110101045", - "External_Lab_Id": " 72319450 ", - "Sample_Collection_Date": "2026-01-06T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE SUD CORSE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "d18a6042-5a70-448f-86b8-e9ec92013c1a", - "Patient_First_Name": "carla", - "Patient_Last_Name": "benvenuti", - "Patient_Name": "undefined", - 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"Request_Identifier": "LAB1773998846499", - "Requester_Name": "Docteur MICHY Thierry", - "Prescriber_Name": "Docteur MICHY Thierry", - "Submitted_Date": "2026-03-20T09:30:47.277Z", - "Request_Status": "Séquençage", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102481", - "External_Lab_Id": "180784", - "Sample_Collection_Date": "2026-03-20T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL NORD - CHU DE SAINT-ETIENNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "fda2cd93-fc61-4c02-91ca-7505c3029ea4", - "Patient_First_Name": "axelle", - "Patient_Last_Name": "bernard", - "Patient_Name": "undefined", - "Patient_Birthday": "12-04-1983 (42 ans)", - "Patient_Age": "42 ans" - }, - "Request": { - "Request_Id": "b387b67d-ce80-4d00-b886-b3defc05b352", - "Request_Identifier": "LAB1768496602156", - "Requester_Name": "Docteur RIPAMONTI BERTRAND", - "Prescriber_Name": "Docteur RIPAMONTI BERTRAND", - "Submitted_Date": "2026-01-16T08:18:44.245Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Négatif" - }, - "Sample": { - "Tube_Id": "55241110105063", - "External_Lab_Id": "201367182", - "Sample_Collection_Date": "2026-01-15T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL FOCH", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "72f0b505-2ed6-4eed-b4dc-3de4ff8ebf5c", - "Patient_First_Name": "manon", - "Patient_Last_Name": "bernard", - "Patient_Name": "undefined", - "Patient_Birthday": "20-04-2002 (23 ans)", - "Patient_Age": "23 ans" - }, - "Request": { - "Request_Id": "b2507db6-c0dd-4a7b-8b2c-345048b5d9c2", - "Request_Identifier": "LAB1770029061615", - "Requester_Name": "Docteur CARBONNEL MARIE", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-02-02T11:20:12.089Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110001244", - "External_Lab_Id": "0300955452 ", - "Sample_Collection_Date": "2026-02-02T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", - "Organization_Name": "undefined", - "Center_Name": "undefined", + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", "Patient_Id": "3ead7fa5-79b5-4f4f-9e74-ea11b7a5de4d", "Patient_First_Name": "aude", "Patient_Last_Name": "bernardi", - "Patient_Name": "undefined", + "Patient_Name": "bernardi aude", "Patient_Birthday": "04-09-1986 (39 ans)", "Patient_Age": "39 ans" }, @@ -35992,202 +838,13 @@ }, { "Patient_Identification": { - "Organization_Id": "FR - HOPITAL NORD - CHU DE SAINT-ETIENNE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "1f89852f-7a55-48e6-93c0-ae9fdcc73cbf", - "Patient_First_Name": "lucie", - "Patient_Last_Name": "beziane", - "Patient_Name": "undefined", - "Patient_Birthday": "29-01-2000 (26 ans)", - "Patient_Age": "26 ans" - }, - "Request": { - "Request_Id": "25d98f11-c876-475e-bb2e-53906c2d1f26", - "Request_Identifier": "LAB1768494610380", - "Requester_Name": "Docteur RIPAMONTI BERTRAND", - "Prescriber_Name": "Docteur RIPAMONTI BERTRAND", - "Submitted_Date": "2026-01-16T08:17:52.351Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110100479", - "External_Lab_Id": "201223694", - "Sample_Collection_Date": "2026-01-15T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHU MONTPELLIER HOPITAL ARNAUD DE VILLENEUVE", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "c92ab7d4-2596-4937-9cde-158d46b42801", - "Patient_First_Name": "elora", - "Patient_Last_Name": "birozov", - "Patient_Name": "undefined", - "Patient_Birthday": "06-04-1996 (29 ans)", - "Patient_Age": "29 ans" - }, - "Request": { - "Request_Id": "d2d708df-99da-4a3c-b85b-36ec7fe880ed", - "Request_Identifier": "LAB1768463354255", - "Requester_Name": "Docteur VINCENS CLAIRE", - "Prescriber_Name": "Docteur VINCENS CLAIRE", - "Submitted_Date": "2026-02-27T11:18:57.032Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Négatif" - }, - "Sample": { - "Tube_Id": "55241110101934", - "External_Lab_Id": "3641874", - "Sample_Collection_Date": "2026-02-27T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE NATECIA", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "abdb577a-bad1-48f1-b8ca-8f4d24d3008b", - "Patient_First_Name": "alexandra", - "Patient_Last_Name": "blanc", - "Patient_Name": "undefined", - "Patient_Birthday": "25-08-1996 (29 ans)", - "Patient_Age": "29 ans" - }, - "Request": { - "Request_Id": "4b638176-22ed-460c-97db-02f1c3457f6d", - "Request_Identifier": "LAB1770716191101", - "Requester_Name": "Docteur DENIS BELICARD EMMANUELLE", - 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"Sample": { - "Tube_Id": "55241110102510", - "External_Lab_Id": "411073", - "Sample_Collection_Date": "2026-01-29T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL LE BOCAGE CHRU DIJON", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "2d579fc9-7a58-47d0-b03c-b08bf428ca54", - "Patient_First_Name": "clémentine", - "Patient_Last_Name": "blanes", - "Patient_Name": "undefined", - "Patient_Birthday": "14-08-1992 (33 ans)", - "Patient_Age": "33 ans" - }, - "Request": { - "Request_Id": "006df4f5-08ff-47b8-8ba1-ada8f478ea83", - "Request_Identifier": "LAB1771324017117", - "Requester_Name": "Docteur KADHEL PHILIPPE", - "Prescriber_Name": "Docteur KADHEL PHILIPPE", - "Submitted_Date": "2026-02-17T10:38:00.680Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110004556", - "External_Lab_Id": "133974532", - "Sample_Collection_Date": "2026-02-17T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL PRIVE D'EURE ET LOIR", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "3483bea8-74b0-4ca0-8462-e6e4cf1c5ebf", - "Patient_First_Name": "maude", - "Patient_Last_Name": "blervacques", - "Patient_Name": "undefined", - "Patient_Birthday": "20-07-1987 (38 ans)", - "Patient_Age": "38 ans" - }, - "Request": { - "Request_Id": "b177e5b9-fc0d-48ad-9880-07fcad14143a", - "Request_Identifier": "LAB1769762309974", - "Requester_Name": "Docteur FOURNIER MARIE", - "Prescriber_Name": "Docteur FOURNIER MARIE", - "Submitted_Date": "2026-01-30T08:43:29.733Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110102111", - "External_Lab_Id": "Ziwig", - "Sample_Collection_Date": "2026-01-30T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CHRU DE RENNES SITE HOPITAL SUD", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "f7d1f8d7-49ce-4695-8318-e0ced235348e", - "Patient_First_Name": "Anne Louise", - "Patient_Last_Name": "blier", - "Patient_Name": "undefined", - "Patient_Birthday": "10-12-1997 (28 ans)", - "Patient_Age": "28 ans" - }, - "Request": { - "Request_Id": "73f4af81-238d-4768-a838-a50505f14edf", - "Request_Identifier": "LAB1772541382587", - "Requester_Name": "Docteur LAVOUE VINCENT", - "Prescriber_Name": "undefined", - "Submitted_Date": "2026-03-03T12:38:47.441Z", - "Request_Status": "Rejetée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110106096", - "External_Lab_Id": "505.005", - "Sample_Collection_Date": "2026-03-03T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", - "Organization_Name": "undefined", - "Center_Name": "undefined", + "Organization_Id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e", + "Organization_Name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY", + "Center_Name": "CH Annecy Genevois – Site d’Annecy", "Patient_Id": "ea2d18d5-ba39-42f0-ab9a-045aeb35e547", "Patient_First_Name": "cerise", "Patient_Last_Name": "boehm", - "Patient_Name": "undefined", + "Patient_Name": "boehm cerise", "Patient_Birthday": "19-05-2007 (18 ans)", "Patient_Age": "18 ans" }, @@ -36208,877 +865,13 @@ }, { "Patient_Identification": { - "Organization_Id": "FR - CHRU BREST SITE HOPITAL MORVAN", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "d97a0b10-e104-4759-aecc-8ce94166fc40", - "Patient_First_Name": "lise", - "Patient_Last_Name": "bolzer", - "Patient_Name": "undefined", - "Patient_Birthday": "19-07-1997 (28 ans)", - "Patient_Age": "28 ans" - }, - "Request": { - "Request_Id": "b8550f28-eadb-45db-9a32-f105040f951f", - "Request_Identifier": "LAB1774432487199", - "Requester_Name": "Docteur BOUEE SARAH", - "Prescriber_Name": "Docteur GODFROY MARINE", - "Submitted_Date": "2026-03-25T10:28:51.061Z", - "Request_Status": "Envoyée", - "Diagnostic_Result": "undefined" - }, - "Sample": { - "Tube_Id": "55241110000525", - "External_Lab_Id": "320076840", - "Sample_Collection_Date": "2026-03-24T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - HOPITAL NORD - CHU DE GRENOBLE ALPES", - "Organization_Name": "undefined", - "Center_Name": "undefined", - "Patient_Id": "7e0a3835-87df-445b-a267-b020b7243e82", - "Patient_First_Name": "marine", - "Patient_Last_Name": "bontemps", - "Patient_Name": "undefined", - "Patient_Birthday": "05-12-1999 (26 ans)", - "Patient_Age": "26 ans" - }, - "Request": { - "Request_Id": "273867b1-11ad-43c4-9850-0efc07f79efe", - "Request_Identifier": "LAB1769588683025", - "Requester_Name": "Docteur MICHY Thierry", - "Prescriber_Name": "Docteur MICHY Thierry", - "Submitted_Date": "2026-01-28T08:29:51.982Z", - "Request_Status": "Rapport disponible", - "Diagnostic_Result": "Positif" - }, - "Sample": { - "Tube_Id": "55241110102435", - "External_Lab_Id": "72321205", - "Sample_Collection_Date": "2026-01-28T12:00:00.000Z" - } - }, - { - "Patient_Identification": { - "Organization_Id": "FR - CENTRE HOSPITALIER LES ESCARTONS A BRIANCON", - "Organization_Name": "undefined", - 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"Rapport disponible", + "Diagnostic_Result": "Positif" + }, + "Sample": { + "Tube_Id": "55241110103358", + "External_Lab_Id": "900000040445", + "Sample_Collection_Date": "2026-01-20T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "002312ec-69fb-4582-9e8f-7c266e5479d2", + "Organization_Name": "HOPITAL NORD - CHU DE SAINT-ETIENNE", + "Center_Name": "undefined", + "Patient_Id": "4445a3b2-b225-4ed3-8416-0a34d9f766f3", + "Patient_First_Name": "mathilde", + "Patient_Last_Name": "vouriot", + "Patient_Name": "vouriot mathilde", + "Patient_Birthday": "28-05-1992 (33 ans)", + "Patient_Age": "33 ans" + }, + "Request": { + "Request_Id": "5f7ee332-74da-4fb7-a534-28b4843346a5", + "Request_Identifier": "LAB1774516938163", + "Requester_Name": "Docteur RIPAMONTI BERTRAND", + "Prescriber_Name": "Docteur RIPAMONTI BERTRAND", + "Submitted_Date": "2026-03-26T09:25:02.364Z", + "Request_Status": "Envoyée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55250410004965", + "External_Lab_Id": "200995693", + "Sample_Collection_Date": "2026-03-26T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d17ddcc4-64db-4cf5-83c5-146f9a060254", + "Organization_Name": "CENTRE HOSPITALIER DE CALAIS.", + "Center_Name": "undefined", + "Patient_Id": "07cb00b3-d5de-4825-9914-bddd0605cec2", + "Patient_First_Name": "flore", + "Patient_Last_Name": "warembourg", + "Patient_Name": "warembourg flore", + "Patient_Birthday": "07-11-2003 (22 ans)", + "Patient_Age": "22 ans" + }, + "Request": { + "Request_Id": "6931231e-262d-4590-8ec2-1b9ef0b7831a", + "Request_Identifier": "LAB1774535834309", + "Requester_Name": "Docteur FICHAUX HELENE", + "Prescriber_Name": "Docteur FICHAUX HELENE", + "Submitted_Date": "2026-03-26T14:41:05.262Z", + "Request_Status": "Envoyée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110004244", + "External_Lab_Id": "900000116143", + "Sample_Collection_Date": "2026-03-26T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d82d64eb-a1cf-4635-a99f-23def12c7cb5", + "Organization_Name": "CHRU BREST SITE HOPITAL MORVAN", + "Center_Name": "undefined", + "Patient_Id": "1731afc3-c78a-4a4a-9a67-239e8a73fd64", + "Patient_First_Name": "chloe", + "Patient_Last_Name": "watterlot", + "Patient_Name": "watterlot chloe", + "Patient_Birthday": "26-08-2003 (22 ans)", + "Patient_Age": "22 ans" + }, + "Request": { + "Request_Id": "6ac8fe40-6aba-4695-95db-c6f2f30e5599", + "Request_Identifier": "LAB1770799215806", + "Requester_Name": "Docteur BOUEE SARAH", + "Prescriber_Name": "Docteur BOUEE SARAH", + "Submitted_Date": "2026-02-11T08:44:58.881Z", + "Request_Status": "Rejetée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110002818", + "External_Lab_Id": "319989319", + "Sample_Collection_Date": "2026-02-11T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "546f981f-6f7d-40c8-9b97-a1a3c46e6674", + "Organization_Name": "GROUPE HOSPITALIER DE LA REGION DE MULHOUSE ET SUD ALSACE", + "Center_Name": "undefined", + "Patient_Id": "c0304add-db59-4631-947c-f655fbe3b3b0", + "Patient_First_Name": "marie", + "Patient_Last_Name": "weber", + "Patient_Name": "weber marie", + "Patient_Birthday": "02-08-1995 (30 ans)", + "Patient_Age": "30 ans" + }, + "Request": { + "Request_Id": "2a7f5f45-be7a-480a-8a55-7794ecf3ffe0", + "Request_Identifier": "LAB1770995352176", + "Requester_Name": "Docteur KACEM RAMZI", + "Prescriber_Name": "Docteur KACEM RAMZI", + "Submitted_Date": "2026-02-13T15:13:57.413Z", + "Request_Status": "Rejetée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110104259", + "External_Lab_Id": "010176364", + "Sample_Collection_Date": "2026-02-13T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "5703b3d6-e415-40b0-90ea-b168835fd720", + "Organization_Name": "HOPITAL PRIVE NATECIA", + "Center_Name": "undefined", + "Patient_Id": "200bd58c-acf6-45ba-b2c5-8db74def5401", + "Patient_First_Name": "lea", + "Patient_Last_Name": "weltin", + "Patient_Name": "weltin lea", + "Patient_Birthday": "26-02-1996 (30 ans)", + "Patient_Age": "30 ans" + }, + "Request": { + "Request_Id": "71da5e37-7182-4746-a46b-605e59700cac", + "Request_Identifier": "LAB1771401540563", + "Requester_Name": "Docteur KEDOUS MOHAMED-ZIED", + "Prescriber_Name": "undefined", + "Submitted_Date": "2026-03-03T14:48:21.376Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Négatif" + }, + "Sample": { + "Tube_Id": "55241110103133", + "External_Lab_Id": "411887", + "Sample_Collection_Date": "2026-02-18T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d17ddcc4-64db-4cf5-83c5-146f9a060254", + "Organization_Name": "CENTRE HOSPITALIER DE CALAIS.", + "Center_Name": "undefined", + "Patient_Id": "74f0f900-c07a-4929-a2c9-f43cff613856", + "Patient_First_Name": "cloe", + "Patient_Last_Name": "widehem", + "Patient_Name": "widehem cloe", + "Patient_Birthday": "04-12-2000 (25 ans)", + "Patient_Age": "25 ans" + }, + "Request": { + "Request_Id": "506ceb46-e53a-40b2-8cfe-59e7719b6bb5", + "Request_Identifier": "LAB1774519738517", + "Requester_Name": "Docteur FICHAUX HELENE", + "Prescriber_Name": "Docteur FICHAUX HELENE", + "Submitted_Date": "2026-03-26T10:12:42.191Z", + "Request_Status": "Envoyée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110004120", + "External_Lab_Id": "900000116045", + "Sample_Collection_Date": "2026-03-26T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "546f981f-6f7d-40c8-9b97-a1a3c46e6674", + "Organization_Name": "GROUPE HOSPITALIER DE LA REGION DE MULHOUSE ET SUD ALSACE", + "Center_Name": "undefined", + "Patient_Id": "29f605f8-d4b6-4084-9b96-15b86de21997", + "Patient_First_Name": "anais", + "Patient_Last_Name": "windenberger", + "Patient_Name": "windenberger anais", + "Patient_Birthday": "02-09-1989 (36 ans)", + "Patient_Age": "36 ans" + }, + "Request": { + "Request_Id": "32477239-bb1e-412b-aecf-193c65979e22", + "Request_Identifier": "LAB1772809201497", + "Requester_Name": "Docteur KACEM RAMZI", + "Prescriber_Name": "Docteur KACEM RAMZI", + "Submitted_Date": "2026-03-06T15:04:08.155Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Négatif" + }, + "Sample": { + "Tube_Id": "55241110105865", + "External_Lab_Id": "272768120", + "Sample_Collection_Date": "2026-03-06T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d17ddcc4-64db-4cf5-83c5-146f9a060254", + "Organization_Name": "CENTRE HOSPITALIER DE CALAIS.", + "Center_Name": "undefined", + "Patient_Id": "51790051-74b2-4a4b-bd1a-b7264b4085a8", + "Patient_First_Name": "Lauryne", + "Patient_Last_Name": "wisshaupt", + "Patient_Name": "wisshaupt Lauryne", + "Patient_Birthday": "30-07-1994 (31 ans)", + "Patient_Age": "31 ans" + }, + "Request": { + "Request_Id": "9ab71ea0-1430-4c1a-985b-c4e9abe50309", + "Request_Identifier": "LAB1772526819026", + "Requester_Name": "Docteur GROSBETY HELENE", + "Prescriber_Name": "Docteur GROSBETY HELENE", + "Submitted_Date": "2026-03-03T08:38:09.991Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Positif" + }, + "Sample": { + "Tube_Id": "55241110103359", + "External_Lab_Id": "00004756534", + "Sample_Collection_Date": "2026-03-03T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "b77b301c-10fa-4eca-bb5b-51506766e158", + "Organization_Name": "HOPITAL CHARLES NICOLLE CHU ROUEN", + "Center_Name": "undefined", + "Patient_Id": "7d76e338-55f1-4478-a6a8-c2441e6a7c20", + "Patient_First_Name": "jade", + "Patient_Last_Name": "wyffels", + "Patient_Name": "wyffels jade", + "Patient_Birthday": "28-10-2005 (20 ans)", + "Patient_Age": "20 ans" + }, + "Request": { + "Request_Id": "a1f0494c-4214-4e69-afe0-40c1a5610e4c", + "Request_Identifier": "LAB1774523417973", + "Requester_Name": "Docteur BAILLEUL Jonas", + "Prescriber_Name": "Docteur BAILLEUL Jonas", + "Submitted_Date": "2026-03-26T11:16:25.102Z", + "Request_Status": "Envoyée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110101296", + "External_Lab_Id": "chu rouen", + "Sample_Collection_Date": "2026-03-26T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d981c078-189e-4831-a063-778733f7e582", + "Organization_Name": "HOPITAL FOCH", + "Center_Name": "undefined", + "Patient_Id": "db3331dd-8c2f-4a34-ac59-0ac8daec93ef", + "Patient_First_Name": "yamina", + "Patient_Last_Name": "zaazaa", + "Patient_Name": "zaazaa yamina", + "Patient_Birthday": "02-03-2004 (22 ans)", + "Patient_Age": "22 ans" + }, + "Request": { + "Request_Id": "6cd3d689-0dce-47a7-a590-2eae5cd98182", + "Request_Identifier": "LAB1773828798907", + "Requester_Name": "Docteur CARBONNEL MARIE", + "Prescriber_Name": "Docteur CARBONNEL MARIE", + "Submitted_Date": "2026-03-18T10:19:27.471Z", + "Request_Status": "Séquençage", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110001095", + "External_Lab_Id": "0300949943", + "Sample_Collection_Date": "2026-03-18T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "9c64545a-b622-4ef9-be0f-f5cc21b9cd66", + "Organization_Name": "HOPITAL NORD - CHU DE GRENOBLE ALPES", + "Center_Name": "undefined", + "Patient_Id": "d257b671-f6e5-4c29-9852-2af2d5880800", + "Patient_First_Name": "lea", + "Patient_Last_Name": "zagorski", + "Patient_Name": "zagorski lea", + "Patient_Birthday": "12-12-2000 (25 ans)", + "Patient_Age": "25 ans" + }, + "Request": { + "Request_Id": "4dce1a2c-9be8-446d-a6ae-7267afbdd0ab", + "Request_Identifier": "LAB1767196474174", + "Requester_Name": "BUISSON ALEXANDRE", + "Prescriber_Name": "BUISSON ALEXANDRE", + "Submitted_Date": "2025-12-31T16:00:57.608Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Négatif" + }, + "Sample": { + "Tube_Id": "55241110101038", + "External_Lab_Id": "72016166", + "Sample_Collection_Date": "2025-12-31T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "13306b61-7ea6-4d60-b89c-b0df2d9d1605", + "Organization_Name": "CENTRE HOSPITALIER VICTOR PROVO ROUBAIX", + "Center_Name": "undefined", + "Patient_Id": "7ad55b9d-969a-47bc-902f-acecec1150ea", + "Patient_First_Name": "elisa", + "Patient_Last_Name": "zeyen", + "Patient_Name": "zeyen elisa", + "Patient_Birthday": "26-08-1995 (30 ans)", + "Patient_Age": "30 ans" + }, + "Request": { + "Request_Id": "369844d1-db60-45f5-903e-17ca3dbba158", + "Request_Identifier": "LAB1773416745835", + "Requester_Name": "Docteur MIGNE CLAIRE", + "Prescriber_Name": "Docteur MIGNE CLAIRE", + "Submitted_Date": "2026-03-13T15:49:58.106Z", + "Request_Status": "IA en Cours", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110100473", + "External_Lab_Id": "0005045395", + "Sample_Collection_Date": "2026-03-09T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "9c64545a-b622-4ef9-be0f-f5cc21b9cd66", + "Organization_Name": "HOPITAL NORD - CHU DE GRENOBLE ALPES", + "Center_Name": "undefined", + "Patient_Id": "f3a329f5-5fe0-4ac2-89b7-5ad5148b5788", + "Patient_First_Name": "hana", + "Patient_Last_Name": "ziani", + "Patient_Name": "ziani hana", + "Patient_Birthday": "28-04-2000 (25 ans)", + "Patient_Age": "25 ans" + }, + "Request": { + "Request_Id": "838d054a-c62d-4977-9597-10a136731a72", + "Request_Identifier": "LAB1767958927515", + "Requester_Name": "Docteur MICHY Thierry", + "Prescriber_Name": "Docteur MICHY Thierry", + "Submitted_Date": "2026-01-09T11:45:49.712Z", + "Request_Status": "Rapport disponible", + "Diagnostic_Result": "Négatif" + }, + "Sample": { + "Tube_Id": "55241110102425", + "External_Lab_Id": "26341", + "Sample_Collection_Date": "2026-01-09T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "f13560a8-3bf6-4322-bdae-332ee3bf0366", + "Organization_Name": "POLYCLINIQUE JEAN VILLAR", + "Center_Name": "undefined", + "Patient_Id": "f3913cf1-dd30-4752-9884-ebc36109c954", + "Patient_First_Name": "victoria", + "Patient_Last_Name": "zimmer", + "Patient_Name": "zimmer victoria", + "Patient_Birthday": "28-06-2001 (24 ans)", + "Patient_Age": "24 ans" + }, + "Request": { + "Request_Id": "c71cbdf3-0b34-42d3-ac5a-9560b97af7a1", + "Request_Identifier": "LAB1774541094916", + "Requester_Name": "Docteur BENICHOU RENAUD", + "Prescriber_Name": "Docteur BENICHOU RENAUD", + "Submitted_Date": "2026-03-26T16:09:17.928Z", + "Request_Status": "Envoyée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110100511", + "External_Lab_Id": "532247", + "Sample_Collection_Date": "2026-03-26T12:00:00.000Z" + } + }, + { + "Patient_Identification": { + "Organization_Id": "d981c078-189e-4831-a063-778733f7e582", + "Organization_Name": "HOPITAL FOCH", + "Center_Name": "undefined", + "Patient_Id": "fdb87a53-cff2-4079-8338-132b7155261c", + "Patient_First_Name": "capucine", + "Patient_Last_Name": "zouari", + "Patient_Name": "zouari capucine", + "Patient_Birthday": "15-02-2002 (24 ans)", + "Patient_Age": "24 ans" + }, + "Request": { + "Request_Id": "ebb36d1a-2860-464d-9400-fe89404fe8b5", + "Request_Identifier": "LAB1771340264603", + "Requester_Name": "Docteur CARBONNEL MARIE", + "Prescriber_Name": "Docteur CARBONNEL MARIE", + "Submitted_Date": "2026-02-17T15:03:16.815Z", + "Request_Status": "Rejetée", + "Diagnostic_Result": "undefined" + }, + "Sample": { + "Tube_Id": "55241110001004", + "External_Lab_Id": "0300960825", + "Sample_Collection_Date": "2026-02-17T12:00:00.000Z" + } + } +] \ No newline at end of file diff --git a/eb_dashboard.bat b/eb_dashboard.bat deleted file mode 100644 index a27b5b9..0000000 --- a/eb_dashboard.bat +++ /dev/null @@ -1,4 +0,0 @@ -@echo off -call C:\PythonProjects\.rcvenv\Scripts\activate.bat -python eb_dashboard.py %* - diff --git a/eb_dashboard.py b/eb_dashboard.py deleted file mode 100644 index 525911c..0000000 --- a/eb_dashboard.py +++ /dev/null @@ -1,1539 +0,0 @@ - -# Endobest Clinical Research Dashboard Generator -# This script automates the collection and processing of patient inclusion data from the Endobest clinical research protocol. -# It authenticates with Ziwig's IAM, Research Clinic (RC), and GDD APIs to gather patient records, questionnaire responses, -# and diagnostic test results across multiple healthcare organizations. The script generates a comprehensive JSON report -# containing all patient data, with 100% configurable fields defined in an Excel configuration file. All fields (patient -# identification, inclusion data, clinical records, test requests, and questionnaire responses) are externalized and can be -# configured without any code modification. The configuration supports multiple data sources (questionnaires, records, -# inclusions, requests, visits), custom functions for business logic (conditional fields, data transformations, pattern matching), -# field dependencies and conditions, value transformations (labels, templates), and multi-line field definitions for complex -# calculations. Organization names are enriched with center identifiers using a configurable mapping table, enabling seamless -# integration with center-based reporting workflows. It employs multithreading with configurable worker pools to parallelize -# API calls across organizations and patients, significantly reducing execution time. A single optimized API call retrieves all -# questionnaires per patient, improving performance by 4-5x compared to multiple filtered calls. Results are exported as -# structured JSON files with nested field groups for easy integration with downstream analytics tools. Built-in quality assurance -# includes coherence checks between statistics and detailed data, comprehensive non-regression testing with configurable -# Warning/Critical thresholds, and user confirmation prompts when critical issues are detected. Excel export functionality -# enables generation of configurable Excel workbooks with data filtering, sorting, value replacement, and formula recalculation -# (see eb_dashboard_excel_export.py and DOCUMENTATION_04_EXCEL_EXPORT.md). Key features include automatic token refresh handling, -# retry mechanisms for transient API failures, progress tracking with real-time visual feedback, flexible data source -# identification, and support for complex data extraction using JSON path expressions. -import json -import logging -import msvcrt -import os -import re -import sys -import threading -import traceback -from concurrent.futures import ThreadPoolExecutor, as_completed -from datetime import timedelta, datetime -from time import perf_counter, sleep -import functools - -import httpx -import openpyxl -import questionary -from tqdm import tqdm -from rich.console import Console - -# Import centralized constants (SINGLE SOURCE OF TRUTH) -from eb_dashboard_constants import ( - INCLUSIONS_FILE_NAME, - ORGANIZATIONS_FILE_NAME, - OLD_FILE_SUFFIX, - DASHBOARD_CONFIG_FILE_NAME, - INCLUSIONS_MAPPING_TABLE_NAME, - ORGANIZATIONS_MAPPING_TABLE_NAME, - ORG_CENTER_MAPPING_FILE_NAME, - ORG_CENTER_MAPPING_TABLE_NAME, - DEFAULT_USER_NAME, - DEFAULT_PASSWORD, - IAM_URL, - RC_URL, - RC_APP_ID, - GDD_URL, - ERROR_MAX_RETRY, - WAIT_BEFORE_RETRY, - WAIT_BEFORE_NEW_BATCH_OF_RETRIES, - MAX_BATCHS_OF_RETRIES, - MAX_THREADS, - RC_ENDOBEST_PROTOCOL_ID, - RC_ENDOBEST_EXCLUDED_CENTERS, - BAR_N_FMT_WIDTH, - BAR_TOTAL_FMT_WIDTH, - BAR_TIME_WIDTH, - BAR_RATE_WIDTH, - LOG_FILE_NAME, - API_TIMEOUT, - API_AUTH_LOGIN_ENDPOINT, - API_AUTH_CONFIG_TOKEN_ENDPOINT, - API_AUTH_REFRESH_TOKEN_ENDPOINT, - API_RC_GET_ALL_ORGANIZATIONS_ENDPOINT, - API_RC_INCLUSION_STATISTICS_ENDPOINT, - API_RC_SEARCH_INCLUSIONS_ENDPOINT, - API_RC_GET_RECORD_BY_PATIENT_ENDPOINT, - API_RC_GET_SURVEYS_ENDPOINT, - API_RC_SEARCH_VISITS_ENDPOINT, - API_GDD_GET_REQUEST_BY_TUBE_ID_ENDPOINT -) - -# Import refactored modules -from eb_dashboard_utils import ( - get_nested_value, - get_httpx_client, - clear_httpx_client, - get_thread_position, - get_config_path, - thread_local_storage, - run_with_context -) -from eb_dashboard_quality_checks import ( - backup_output_files, - run_quality_checks, - run_check_only_mode, - set_dependencies as quality_set_dependencies, - enable_debug_mode -) -from eb_dashboard_excel_export import ( - prepare_excel_export, - export_excel_only, - run_normal_mode_export, - set_dependencies as excel_set_dependencies -) - -logging.basicConfig(level=logging.WARNING, format='%(asctime)s - %(levelname)s - %(message)s', filename=LOG_FILE_NAME, - filemode='w') - - -# ============================================================================ -# BLOCK 1: CONFIGURATION & BASE INFRASTRUCTURE -# ============================================================================ - -# NOTE: All constants are imported from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH) - -# --- Global Variables --- -access_token = "" -refresh_token = "" -threads_list = [] -_token_refresh_lock = threading.Lock() -on_retry_exhausted = "ask" # "ask" | "ignore" | "abort" — set at startup -fetch_six_month_visit = False # Whether to fetch 6-month visit data (slow, ~5s per patient) -_stored_username = "" # Credentials stored at login for automatic re-login -_stored_password = "" -_threads_list_lock = threading.Lock() -global_pbar = None -_global_pbar_lock = threading.Lock() -_user_interaction_lock = threading.Lock() - -# Global variables (mutable, set at runtime - not constants) -inclusions_mapping_config = [] -organizations_mapping_config = [] -excel_export_config = None -excel_export_enabled = False - -subtasks_thread_pool = ThreadPoolExecutor(40) -httpx_clients = {} -console = Console() - -# Share global variables with utility modules (required for thread-safe operations) -import eb_dashboard_utils -eb_dashboard_utils.httpx_clients = httpx_clients -eb_dashboard_utils.threads_list = threads_list -eb_dashboard_utils._threads_list_lock = _threads_list_lock - -# Inject console instance to modules -quality_set_dependencies(console) -excel_set_dependencies(console) - -# Detect and enable debug mode if --debug flag is present (and remove it from argv) -if "--debug" in sys.argv: - sys.argv.remove("--debug") - enable_debug_mode() - -# --- Progress Bar Configuration --- -# NOTE: BAR_N_FMT_WIDTH, BAR_TOTAL_FMT_WIDTH, BAR_TIME_WIDTH, BAR_RATE_WIDTH -# are imported from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH) -custom_bar_format = ("{l_bar}{bar}" - f" {{n_fmt:>{BAR_N_FMT_WIDTH}}}/{{total_fmt:<{BAR_TOTAL_FMT_WIDTH}}} " - f"[{{elapsed:<{BAR_TIME_WIDTH}}}<{{remaining:>{BAR_TIME_WIDTH}}}, " - f"{{rate_fmt:>{BAR_RATE_WIDTH}}}]{{postfix}}") - - -# ============================================================================ -# BLOCK 2: DECORATORS & RESILIENCE -# ============================================================================ - -def new_token(): - """Refresh access token using the refresh token""" - global access_token, refresh_token - with _token_refresh_lock: - for attempt in range(ERROR_MAX_RETRY): - try: - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(API_AUTH_REFRESH_TOKEN_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, - json={"refresh_token": refresh_token}, timeout=20) - response.raise_for_status() - access_token = response.json()["access_token"] - refresh_token = response.json()["refresh_token"] - return - except httpx.RequestError as exc: - logging.warning(f"Refresh Token Error (Attempt {attempt + 1}) : {exc}") - clear_httpx_client() - except httpx.HTTPStatusError as exc: - logging.warning( - f"Refresh Token Error (Attempt {attempt + 1}) : {exc.response.status_code} for Url {exc.request.url}") - clear_httpx_client() - finally: - if attempt < ERROR_MAX_RETRY - 1: - sleep(WAIT_BEFORE_RETRY) - # Refresh token exhausted — attempt full re-login with stored credentials - logging.warning("Refresh token exhausted. Attempting re-login with stored credentials.") - _do_login(_stored_username, _stored_password) - logging.info("Re-login successful. New tokens acquired.") - - -def api_call_with_retry(func): - """Decorator for API calls with automatic retry and token refresh on 401 errors""" - @functools.wraps(func) - def wrapper(*args, **kwargs): - func_name = func.__name__ - total_attempts = 0 - batch_count = 1 - - while True: - for attempt in range(ERROR_MAX_RETRY): - total_attempts += 1 - try: - return func(*args, **kwargs) - except (httpx.RequestError, httpx.HTTPStatusError) as exc: - logging.warning(f"Error in {func_name} (Attempt {total_attempts}): {exc}") - - # Refresh the thread-local client if an error occurs - # to avoid potential pool corruption or stale connections - clear_httpx_client() - - if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code == 401: - logging.info(f"Token expired for {func_name}. Refreshing token.") - try: - new_token() - except (httpx.RequestError, httpx.HTTPStatusError) as token_exc: - logging.warning(f"Token refresh/re-login failed for {func_name}: {token_exc}") - - if attempt < ERROR_MAX_RETRY - 1: - sleep(WAIT_BEFORE_RETRY) - else: - # Max retries reached for this batch - if batch_count < MAX_BATCHS_OF_RETRIES: - logging.warning(f"Batch {batch_count}/{MAX_BATCHS_OF_RETRIES} failed for {func_name}. " - f"Waiting {WAIT_BEFORE_NEW_BATCH_OF_RETRIES}s before automatic retry batch.") - batch_count += 1 - sleep(WAIT_BEFORE_NEW_BATCH_OF_RETRIES) - break # Exit for loop to restart batch in while True - else: - # All automatic batches exhausted — apply on_retry_exhausted policy - with _user_interaction_lock: - if on_retry_exhausted == "ignore": - ctx = getattr(thread_local_storage, "current_patient_context", {"id": "Unknown", "pseudo": "Unknown"}) - logging.warning(f"[AUTO-IGNORE] Skipping {func_name} for Patient {ctx['id']} ({ctx['pseudo']}). Error: {exc}") - return None - - elif on_retry_exhausted == "abort": - logging.critical(f"[AUTO-ABORT] Stopping script after persistent error in {func_name}. Error: {exc}") - raise httpx.RequestError(message=f"Persistent error in {func_name} (auto-aborted)") - - else: # "ask" — display error then interactive prompt - console.print(f"\n[bold red]Persistent error in {func_name} after {batch_count} batches ({total_attempts} attempts).[/bold red]") - console.print(f"[red]Exception: {exc}[/red]") - - choice = questionary.select( - f"What would you like to do for {func_name}?", - choices=[ - "Retry (try another batch of retries)", - "Ignore (return None and continue)", - "Stop script (critical error)" - ] - ).ask() - - if choice == "Retry (try another batch of retries)": - logging.info(f"User chose to retry {func_name}. Restarting batch sequence.") - batch_count = 1 # Reset batch counter for the next interactive round - break # Exit for loop to restart batch in while True - elif choice == "Ignore (return None and continue)": - ctx = getattr(thread_local_storage, "current_patient_context", {"id": "Unknown", "pseudo": "Unknown"}) - logging.warning(f"[IGNORE] User opted to skip {func_name} for Patient {ctx['id']} ({ctx['pseudo']}). Error: {exc}") - return None - else: - logging.critical(f"User chose to stop script after persistent error in {func_name}.") - raise httpx.RequestError(message=f"Persistent error in {func_name} (stopped by user)") - - return wrapper - - -# ============================================================================ -# BLOCK 3: AUTHENTICATION -# ============================================================================ - -def _do_login(username, password): - """Performs the two-step authentication (IAM → RC) with the given credentials. - Updates global access_token and refresh_token on success. - Raises httpx.RequestError or httpx.HTTPStatusError on failure. - Must NOT acquire _token_refresh_lock (caller's responsibility). - """ - global access_token, refresh_token - - client = get_httpx_client() - client.base_url = IAM_URL - response = client.post(API_AUTH_LOGIN_ENDPOINT, - json={"username": username, "password": password}, - timeout=20) - response.raise_for_status() - master_token = response.json()["access_token"] - user_id = response.json()["userId"] - - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(API_AUTH_CONFIG_TOKEN_ENDPOINT, - headers={"Authorization": f"Bearer {master_token}"}, - json={"userId": user_id, "clientId": RC_APP_ID, - "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36"}, - timeout=20) - response.raise_for_status() - access_token = response.json()["access_token"] - refresh_token = response.json()["refresh_token"] - - -def login(): - global _stored_username, _stored_password - - user_name = (questionary.text("login :", default=DEFAULT_USER_NAME).ask()) - password = (questionary.password("password :", default=DEFAULT_PASSWORD).ask()) - if not (user_name and password): - return "Exit" - - try: - _do_login(user_name, password) - except httpx.RequestError as exc: - print(f"Login Error : {exc}") - logging.warning(f"Login Error : {exc}") - return "Error" - except httpx.HTTPStatusError as exc: - print(f"Login Error : {exc.response.status_code} for Url {exc.request.url}") - logging.warning(f"Login Error : {exc.response.status_code} for Url {exc.request.url}") - return "Error" - - _stored_username = user_name - _stored_password = password - print() - print("Login Success") - return "Success" - - -# ============================================================================ -# BLOCK 3B: FILE UTILITIES -# ============================================================================ - -def ask_on_retry_exhausted(): - """Asks the user what to do when all API retry batches are exhausted.""" - global on_retry_exhausted - choice = questionary.select( - "On retry exhausted :", - choices=[ - "Ask (interactive prompt)", - "Ignore (return None and continue)", - "Abort (stop script)" - ] - ).ask() - if choice is None or choice == "Ask (interactive prompt)": - on_retry_exhausted = "ask" - elif choice == "Ignore (return None and continue)": - on_retry_exhausted = "ignore" - else: - on_retry_exhausted = "abort" - - -def ask_fetch_six_month_visit(): - """Asks the user whether to fetch 6-month visit data (slow API call, ~5s per patient).""" - global fetch_six_month_visit - choice = questionary.select( - "Fetch 6-month visit progress data? (slow, ~5s per patient) :", - choices=[ - "No (skip, faster execution)", - "Yes (fetch 6-month visit data)" - ] - ).ask() - fetch_six_month_visit = (choice == "Yes (fetch 6-month visit data)") - - -def wait_for_scheduled_launch(): - """Asks the user when to start the processing and waits if needed. - Options: Immediately / In X minutes / At HH:MM - """ - choice = questionary.select( - "When to start processing ?", - choices=["Immediately", "In X minutes", "At HH:MM"] - ).ask() - - if choice is None or choice == "Immediately": - return - - if choice == "In X minutes": - minutes_str = questionary.text( - "Number of minutes :", - validate=lambda x: x.isdigit() and int(x) > 0 - ).ask() - if not minutes_str: - return - target_time = datetime.now() + timedelta(minutes=int(minutes_str)) - - else: # "At HH:MM" - time_str = questionary.text( - "Start time (HH:MM) :", - validate=lambda x: bool(re.match(r'^\d{2}:\d{2}$', x)) and - 0 <= int(x.split(':')[0]) <= 23 and - 0 <= int(x.split(':')[1]) <= 59 - ).ask() - if not time_str: - return - now = datetime.now() - h, m = int(time_str.split(':')[0]), int(time_str.split(':')[1]) - target_time = now.replace(hour=h, minute=m, second=0, microsecond=0) - if target_time <= now: - console.print("[yellow]⚠ Specified time is already past. Starting immediately.[/yellow]") - return - - print() - try: - while True: - remaining = target_time - datetime.now() - if remaining.total_seconds() <= 0: - break - total_secs = int(remaining.total_seconds()) - h = total_secs // 3600 - m = (total_secs % 3600) // 60 - s = total_secs % 60 - target_str = target_time.strftime('%H:%M:%S') - print(f"\r Starting in {h:02d}:{m:02d}:{s:02d}... (at {target_str}) — Ctrl+C to cancel ", - end="", flush=True) - sleep(1) - # Flush keyboard buffer to prevent stray keystrokes from polluting subsequent prompts - while msvcrt.kbhit(): - msvcrt.getwch() - print() - console.print("[green]✓ Starting processing.[/green]") - except KeyboardInterrupt: - print() - console.print("[bold red]Launch cancelled by user.[/bold red]") - raise SystemExit(0) - - -def load_json_file(filename): - """ - Load a JSON file from disk. - - Args: - filename: Path to JSON file - - Returns: - Parsed JSON data or None if file not found or error occurred - """ - if os.path.exists(filename): - try: - with open(filename, 'r', encoding='utf-8') as f: - return json.load(f) - except Exception as e: - logging.warning(f"Could not load JSON file '{filename}': {e}") - console.print(f"[yellow]⚠ Warning: Could not load JSON file '{filename}': {e}[/yellow]") - return None - - -# ============================================================================ -# BLOCK 4: INCLUSIONS MAPPING CONFIGURATION -# ============================================================================ - -def load_inclusions_mapping_config(): - """Loads and validates the inclusions mapping configuration from the Excel file.""" - global inclusions_mapping_config - config_path = os.path.join(get_config_path(), DASHBOARD_CONFIG_FILE_NAME) - - try: - # Load with data_only=True to read calculated values instead of formulas - # (e.g., if mapping columns use formulas like =+1, we get 1, not the formula text) - workbook = openpyxl.load_workbook(config_path, data_only=True) - except FileNotFoundError: - error_msg = f"Error: Configuration file not found at: {config_path}" - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - if INCLUSIONS_MAPPING_TABLE_NAME not in workbook.sheetnames: - error_msg = f"Error: Sheet ''{INCLUSIONS_MAPPING_TABLE_NAME}'' not found in the configuration file." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - sheet = workbook[INCLUSIONS_MAPPING_TABLE_NAME] - headers = [cell.value for cell in sheet[1]] - - temp_config = [] - - for row_index, row in enumerate(sheet.iter_rows(min_row=2, values_only=True), start=2): - field_config = dict(zip(headers, row)) - - # --- Validation and Parsing --- - if field_config.get("source_name") == "Not Specified": - continue - - field_name = field_config.get("field_name") - if not field_name or not isinstance(field_name, str): - error_msg = f"Error in config file, row {row_index}: 'field_name' is mandatory." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - field_config["field_name"] = re.sub(r'\s*\([^)]*\)$', '', field_name).strip() - - # Parse source_id prefix (q_id=, q_name=, q_category=, record, inclusion, request) - source_id_raw = field_config.get("source_id", "") - if source_id_raw and isinstance(source_id_raw, str): - if source_id_raw.startswith("q_id="): - field_config["source_type"] = "q_id" - field_config["source_value"] = source_id_raw[5:] - elif source_id_raw.startswith("q_name="): - field_config["source_type"] = "q_name" - field_config["source_value"] = source_id_raw[7:] - elif source_id_raw.startswith("q_category="): - field_config["source_type"] = "q_category" - field_config["source_value"] = source_id_raw[11:] - elif source_id_raw == "record": - field_config["source_type"] = "record" - field_config["source_value"] = None - elif source_id_raw == "inclusion": - field_config["source_type"] = "inclusion" - field_config["source_value"] = None - elif source_id_raw == "request": - field_config["source_type"] = "request" - field_config["source_value"] = None - elif source_id_raw == "6_month_visit": - field_config["source_type"] = "6_month_visit" - field_config["source_value"] = None - else: - field_config["source_type"] = None - field_config["source_value"] = source_id_raw - else: - field_config["source_type"] = None - field_config["source_value"] = None - - for json_field in ["field_path", "field_condition", "true_if_any", "value_labels"]: - value = field_config.get(json_field) - if value: - if not isinstance(value, str): - error_msg = f"Error in config file, row {row_index}, field '{json_field}': Invalid value, must be a JSON string." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - try: - field_config[json_field] = json.loads(value) - except json.JSONDecodeError: - error_msg = f"Error in config file, row {row_index}, field '{json_field}': Invalid JSON format." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - else: - field_config[json_field] = None - - if not field_config.get("field_path"): - error_msg = f"Error in config file, row {row_index}: 'field_path' is mandatory when a field is specified." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - temp_config.append(field_config) - - inclusions_mapping_config = temp_config - console.print(f"Loaded {len(inclusions_mapping_config)} fields from inclusions mapping configuration.", style="green") - - -def load_organizations_mapping_config(): - """Loads and validates the organizations mapping configuration from the Excel file.""" - global organizations_mapping_config - config_path = os.path.join(get_config_path(), DASHBOARD_CONFIG_FILE_NAME) - - try: - # Load with data_only=True to read calculated values instead of formulas - # (e.g., if mapping columns use formulas like =+1, we get 1, not the formula text) - workbook = openpyxl.load_workbook(config_path, data_only=True) - except FileNotFoundError: - error_msg = f"Error: Configuration file not found at: {config_path}" - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - if ORGANIZATIONS_MAPPING_TABLE_NAME not in workbook.sheetnames: - # Organizations mapping is optional, so return empty config if sheet not found - logging.info(f"Sheet '{ORGANIZATIONS_MAPPING_TABLE_NAME}' not found in configuration file. Organizations mapping is optional.") - organizations_mapping_config = [] - return - - sheet = workbook[ORGANIZATIONS_MAPPING_TABLE_NAME] - headers = [cell.value for cell in sheet[1]] - - # Filter out None headers (empty columns) - headers_filtered = [h for h in headers if h is not None] - - mapping_config = [] - try: - for row in sheet.iter_rows(min_row=2, values_only=True): - if all(cell is None for cell in row): - break - - # Trim row to match filtered headers length - row_filtered = row[:len(headers_filtered)] - config_dict = dict(zip(headers_filtered, row_filtered)) - mapping_config.append(config_dict) - except Exception as e: - error_msg = f"Error parsing organizations mapping: {e}" - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - finally: - workbook.close() - - organizations_mapping_config = mapping_config - if mapping_config: - console.print(f"Loaded {len(organizations_mapping_config)} organizations from organizations mapping configuration.", style="green") - else: - console.print("No organizations mapping found (this is optional).", style="yellow") - - -# ============================================================================ -# BLOCK 5: DATA SEARCH & EXTRACTION -# ============================================================================ - -def _find_questionnaire_by_id(qcm_dict, qcm_id): - """Finds a questionnaire by ID (direct dictionary lookup).""" - if not isinstance(qcm_dict, dict): - return None - qcm_data = qcm_dict.get(qcm_id) - return qcm_data.get("answers") if qcm_data else None - - -def _find_questionnaire_by_name(qcm_dict, name): - """Finds a questionnaire by name (sequential search, returns first match).""" - if not isinstance(qcm_dict, dict): - return None - for qcm in qcm_dict.values(): - if get_nested_value(qcm, ["questionnaire", "name"]) == name: - return qcm.get("answers") - return None - - -def _find_questionnaire_by_category(qcm_dict, category): - """Finds a questionnaire by category (sequential search, returns first match).""" - if not isinstance(qcm_dict, dict): - return None - for qcm in qcm_dict.values(): - if get_nested_value(qcm, ["questionnaire", "category"]) == category: - return qcm.get("answers") - return None - - -def _get_field_value_from_questionnaire(all_questionnaires, field_config): - """ - Gets the raw value for a field from questionnaires (without post-processing). - """ - # Find questionnaire based on type - source_type = field_config.get("source_type") - source_value = field_config.get("source_value") - - if source_type == "q_id": - answers = _find_questionnaire_by_id(all_questionnaires, source_value) - elif source_type == "q_name": - answers = _find_questionnaire_by_name(all_questionnaires, source_value) - elif source_type == "q_category": - answers = _find_questionnaire_by_category(all_questionnaires, source_value) - else: - answers = None - - return get_nested_value(answers, field_config["field_path"], default="undefined") - - -def get_value_from_inclusion(inclusion_dict, key): - """Helper to find a key in the new nested inclusion structure.""" - for group in inclusion_dict.values(): - if isinstance(group, dict) and key in group: - return group[key] - return None - - -# ============================================================================ -# BLOCK 6: CUSTOM FUNCTIONS & FIELD PROCESSING -# ============================================================================ - -def _execute_custom_function(function_name, args, output_inclusion): - """Executes a custom function for a calculated field.""" - if function_name == "search_in_fields_using_regex": - if not args or len(args) < 2: - return "$$$$ Argument Error: search_in_fields_using_regex requires at least 2 arguments" - - regex_pattern = args[0] - field_names = args[1:] - - field_values = [] - all_undefined = True - - for field_name in field_names: - value = get_value_from_inclusion(output_inclusion, field_name) - field_values.append(value) - if value is not None and value != "undefined": - all_undefined = False - - if all_undefined: - return "undefined" - - try: - for value in field_values: - # We only try to match on string values. - if isinstance(value, str) and re.search(regex_pattern, value, re.IGNORECASE): - return True - except re.error as e: - return f"$$$$ Regex Error: {e}" - - return False - - elif function_name == "extract_parentheses_content": - if not args or len(args) != 1: - return "$$$$ Argument Error: extract_parentheses_content requires 1 argument" - - field_name = args[0] - value = get_value_from_inclusion(output_inclusion, field_name) - - if value is None or value == "undefined": - return "undefined" - - match = re.search(r'\((.*?)\)', str(value)) - return match.group(1) if match else "undefined" - - elif function_name == "append_terminated_suffix": - if not args or len(args) != 2: - return "$$$$ Argument Error: append_terminated_suffix requires 2 arguments" - - status = get_value_from_inclusion(output_inclusion, args[0]) - is_terminated = get_value_from_inclusion(output_inclusion, args[1]) - - if status is None or status == "undefined": - return "undefined" - - if not isinstance(is_terminated, bool) or not is_terminated: - return status - - return f"{status} - AP" - - elif function_name == "if_then_else": - # Unified conditional function - # Syntax: ["operator", arg1, arg2_optional, result_if_true, result_if_false] - # Operators: "is_true", "is_false", "all_true", "is_defined", "is_undefined", "all_defined", "==", "!=" - - if not args or len(args) < 4: - return "$$$$ Argument Error: if_then_else requires at least 4 arguments" - - operator = args[0] - - # Helper function to resolve value (literal or field name) - def resolve_value(arg): - # If boolean literal - if isinstance(arg, bool): - return arg - # If numeric literal - if isinstance(arg, (int, float)): - return arg - # If string literal (starts with $) - if isinstance(arg, str) and arg.startswith("$"): - return arg[1:] # Remove the $ prefix - # Otherwise, treat as field name - return get_value_from_inclusion(output_inclusion, arg) - - # Determine condition based on operator - if operator == "is_true": - if len(args) != 4: - return "$$$$ Argument Error: is_true requires 4 arguments" - value = resolve_value(args[1]) - if value is None or value == "undefined": - return "undefined" - condition = (value is True) - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "is_false": - if len(args) != 4: - return "$$$$ Argument Error: is_false requires 4 arguments" - value = resolve_value(args[1]) - if value is None or value == "undefined": - return "undefined" - condition = (value is False) - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "all_true": - if len(args) != 4: - return "$$$$ Argument Error: all_true requires 4 arguments" - fields_arg = args[1] - if not isinstance(fields_arg, list): - return "$$$$ Argument Error: all_true requires arg1 to be a list of field names" - - conditions = [] - for field_name in fields_arg: - field_value = get_value_from_inclusion(output_inclusion, field_name) - if field_value is None or field_value == "undefined": - return "undefined" - conditions.append(field_value) - - condition = all(conditions) - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "is_defined": - if len(args) != 4: - return "$$$$ Argument Error: is_defined requires 4 arguments" - value = resolve_value(args[1]) - condition = (value is not None and value != "undefined") - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "is_undefined": - if len(args) != 4: - return "$$$$ Argument Error: is_undefined requires 4 arguments" - value = resolve_value(args[1]) - condition = (value is None or value == "undefined") - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "all_defined": - if len(args) != 4: - return "$$$$ Argument Error: all_defined requires 4 arguments" - fields_arg = args[1] - if not isinstance(fields_arg, list): - return "$$$$ Argument Error: all_defined requires arg1 to be a list of field names" - - for field_name in fields_arg: - field_value = get_value_from_inclusion(output_inclusion, field_name) - if field_value is None or field_value == "undefined": - condition = False - break - else: - condition = True - - result_if_true = resolve_value(args[2]) - result_if_false = resolve_value(args[3]) - - elif operator == "==": - if len(args) != 5: - return "$$$$ Argument Error: == requires 5 arguments" - value1 = resolve_value(args[1]) - value2 = resolve_value(args[2]) - - if value1 is None or value1 == "undefined" or value2 is None or value2 == "undefined": - return "undefined" - - condition = (value1 == value2) - result_if_true = resolve_value(args[3]) - result_if_false = resolve_value(args[4]) - - elif operator == "!=": - if len(args) != 5: - return "$$$$ Argument Error: != requires 5 arguments" - value1 = resolve_value(args[1]) - value2 = resolve_value(args[2]) - - if value1 is None or value1 == "undefined" or value2 is None or value2 == "undefined": - return "undefined" - - condition = (value1 != value2) - result_if_true = resolve_value(args[3]) - result_if_false = resolve_value(args[4]) - - else: - return f"$$$$ Unknown Operator: {operator}" - - return result_if_true if condition else result_if_false - - return f"$$$$ Unknown Custom Function: {function_name}" - - -def process_inclusions_mapping(output_inclusion, inclusion_data, record_data, request_data, all_questionnaires, six_month_visit_data): - """Processes and adds the inclusions mapping fields to the inclusion dictionary.""" - for field in inclusions_mapping_config: - field_name = field["field_name"] - field_group = field.get("field_group", "Extended_Fields") # Default group if not specified - final_value = "undefined" # Default value - - # Check condition - condition_field_name = field.get("field_condition") - if condition_field_name: - condition_value = get_value_from_inclusion(output_inclusion, condition_field_name) - - if condition_value is None or condition_value == "undefined": - final_value = "undefined" - elif not isinstance(condition_value, bool): - final_value = "$$$$ Condition Field Error" - elif not condition_value: - final_value = "N/A" - - # If condition allows, process the field - if final_value == "undefined": - source_name = field.get("source_name") - source_type = field.get("source_type") - field_path = field.get("field_path") - - # Get raw value from appropriate source - if source_name == "Calculated": - function_name = field.get("source_id") - args = field_path - final_value = _execute_custom_function(function_name, args, output_inclusion) - elif source_type in ["q_id", "q_name", "q_category"]: - final_value = _get_field_value_from_questionnaire(all_questionnaires, field) - elif source_type == "record": - final_value = get_nested_value(record_data, field_path, default="undefined") - elif source_type == "inclusion": - final_value = get_nested_value(inclusion_data, field_path, default="undefined") - elif source_type == "request": - final_value = get_nested_value(request_data, field_path, default="undefined") - elif source_type == "6_month_visit": - final_value = get_nested_value(six_month_visit_data, field_path, default="undefined") - else: - final_value = f"$$$$ Unknown Source Type: {source_type}" - - # If the source data itself is missing (e.g., 6-month visit not created), log a warning but continue - if final_value == "$$$$ No Data": - patient_id = inclusion_data.get("id", "Unknown") - pseudo = inclusion_data.get("pseudo", "Unknown") - logging.warning(f"No '{source_type}' data source found for Patient {patient_id} / {pseudo} (Field: {field_name})") - final_value = "undefined" - - # Post-processing: Apply true_if_any and value_labels transformations (for all sources) - if final_value not in ["undefined", "$$$$ No Data"]: - # Check if any value matches - check_values = field.get("true_if_any") - if check_values: - raw_value_set = set(final_value if isinstance(final_value, list) else [final_value]) - check_values_set = set(check_values if isinstance(check_values, list) else [check_values]) - final_value = not raw_value_set.isdisjoint(check_values_set) - - # Map value to label - value_labels = field.get("value_labels") - if value_labels and final_value not in ["$$$$ Format Error : Array expected"]: - found = False - for label_map in value_labels: - if label_map.get("value") == final_value: - final_value = get_nested_value(label_map, ["text", "fr"], default=f"$$$$ Value Error : {final_value}") - found = True - break - if not found: - final_value = f"$$$$ Value Error : {final_value}" - - # Post-processing: If the value is a list (e.g. from a wildcard), join it with a pipe. - if isinstance(final_value, list): - final_value = "|".join(map(str, final_value)) - - # Post-processing: Format score dictionaries - if isinstance(final_value, dict) and 'total' in final_value and 'max' in final_value: - final_value = f"{final_value['total']}/{final_value['max']}" - - # Post-processing: Apply field template - field_template = field.get("field_template") - if field_template and final_value not in ["undefined", "N/A"] and isinstance(final_value, (str, int, float, bool)): - final_value = field_template.replace("$value", str(final_value)) - - # Ensure the group sub-dictionary exists - if field_group not in output_inclusion: - output_inclusion[field_group] = {} - output_inclusion[field_group][field_name] = final_value - - -# ============================================================================ -# BLOCK 7: BUSINESS API CALLS -# ============================================================================ - -@api_call_with_retry -def get_all_organizations(): - start_time = perf_counter() - with console.status("[bold green]Getting Organizations...", spinner="dots"): - client = get_httpx_client() - client.base_url = RC_URL - response = client.get(API_RC_GET_ALL_ORGANIZATIONS_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, timeout=1200) - response.raise_for_status() - duration = perf_counter() - start_time - console.print(f"Organizations loaded. ({duration:.2f}s)", style="green") - return response.json() - - -@api_call_with_retry -def _get_organization_statistics(organization_id): - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(API_RC_INCLUSION_STATISTICS_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, - json={"protocolId": RC_ENDOBEST_PROTOCOL_ID, "center": organization_id, - "excludedCenters": RC_ENDOBEST_EXCLUDED_CENTERS}, - timeout=API_TIMEOUT) - response.raise_for_status() - return response.json()["statistic"] - - -def get_organization_counters(organization): - organization_id = organization['id'] - stats = _get_organization_statistics(organization_id) - - organization["patients_count"] = stats.get("totalInclusions", 0) - organization["preincluded_count"] = stats.get("preIncluded", 0) - organization["included_count"] = stats.get("included", 0) - organization["prematurely_terminated_count"] = stats.get("prematurelyTerminated", 0) - return organization - - -@api_call_with_retry -def get_organization_inclusions(organization_id, limit, page): - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(f"{API_RC_SEARCH_INCLUSIONS_ENDPOINT}?limit={limit}&page={page}", - headers={"Authorization": f"Bearer {access_token}"}, - json={"protocolId": RC_ENDOBEST_PROTOCOL_ID, "center": organization_id, - "keywords": ""}, timeout=API_TIMEOUT) - response.raise_for_status() - return response.json()["data"] - - -@api_call_with_retry -def get_record_by_patient_id(patient_id, organization_id): - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(API_RC_GET_RECORD_BY_PATIENT_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, - json={"center": organization_id, "patientId": patient_id, - "mode": "exchange", "state": "ongoing", "includeEndoParcour": False, - "sourceClient": "pro_prm"}, - timeout=API_TIMEOUT) - response.raise_for_status() - return response.json() - - -@api_call_with_retry -def get_request_by_tube_id(tube_id): - client = get_httpx_client() - client.base_url = GDD_URL - response = client.get(f"{API_GDD_GET_REQUEST_BY_TUBE_ID_ENDPOINT}/{tube_id}?isAdmin=true&organization=undefined", - headers={"Authorization": f"Bearer {access_token}"}, timeout=API_TIMEOUT) - response.raise_for_status() - return response.json() - - -@api_call_with_retry -def search_visit_by_pseudo_and_order(pseudo, order): - """Searches for a visit by patient pseudo and visit order.""" - client = get_httpx_client() - client.base_url = RC_URL - response = client.post(API_RC_SEARCH_VISITS_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, - json={"visitOrder": order, "keywords": pseudo}, - timeout=API_TIMEOUT) - response.raise_for_status() - resp_json = response.json() - if isinstance(resp_json, dict): - data = resp_json.get("data") - if isinstance(data, list) and len(data) > 0: - return data[0] - return None - - -@api_call_with_retry -def get_all_questionnaires_by_patient(patient_id, record_data): - """Fetches all questionnaires for a patient with a single API call.""" - client = get_httpx_client() - client.base_url = RC_URL - - payload = { - "context": "clinic_research", - "subject": patient_id - } - - # Extract blockedQcmVersions from record (same logic as get_questionnaire_answers) - if record_data is None: - all_blocked_versions = [] - else: - all_blocked_versions = get_nested_value(record_data, path=["record", "protocol_inclusions", 0, "blockedQcmVersions"], - default=[]) - # Ensure it's a list even if get_nested_value returns "$$$$ No Data" - if all_blocked_versions == "$$$$ No Data": - all_blocked_versions = [] - - if all_blocked_versions: - payload["blockedQcmVersions"] = all_blocked_versions - - response = client.post(API_RC_GET_SURVEYS_ENDPOINT, - headers={"Authorization": f"Bearer {access_token}"}, - json=payload, - timeout=API_TIMEOUT) - response.raise_for_status() - response_data = response.json() - - # Build dictionary with questionnaire metadata for searching - results = {} - for item in response_data: - q_id = get_nested_value(item, path=["questionnaire", "id"]) - q_name = get_nested_value(item, path=["questionnaire", "name"]) - q_category = get_nested_value(item, path=["questionnaire", "category"]) - answers = get_nested_value(item, path=["answers"], default={}) - if q_id: - results[q_id] = { - "questionnaire": { - "id": q_id, - "name": q_name, - "category": q_category - }, - "answers": answers - } - return results - - -# ============================================================================ -# BLOCK 7b: ORGANIZATION CENTER MAPPING -# ============================================================================ - -def load_organization_center_mapping(): - """ - Loads organization ↔ center mapping from Excel file in script directory. - - Returns: - dict: {organization_name_normalized: center_name} or {} if error/skip - """ - mapping_file = ORG_CENTER_MAPPING_FILE_NAME - - if not os.path.exists(mapping_file): - console.print(f"[yellow]⚠ Mapping file not found at: {mapping_file}. Skipping center mapping.[/yellow]") - return {} - - try: - workbook = openpyxl.load_workbook(mapping_file) - except Exception as e: - console.print(f"[yellow]⚠ Error loading mapping file: {e}. Skipping center mapping.[/yellow]") - logging.warning(f"Error loading mapping file: {e}") - return {} - - if ORG_CENTER_MAPPING_TABLE_NAME not in workbook.sheetnames: - console.print(f"[yellow]⚠ Sheet '{ORG_CENTER_MAPPING_TABLE_NAME}' not found in mapping file. Skipping center mapping.[/yellow]") - return {} - - sheet = workbook[ORG_CENTER_MAPPING_TABLE_NAME] - headers = [cell.value for cell in sheet[1]] - - # Validate required columns - if "Organization_Name" not in headers or "Center_Name" not in headers: - console.print(f"[yellow]⚠ Required columns 'Organization_Name' or 'Center_Name' not found in mapping file. Skipping center mapping.[/yellow]") - return {} - - # Load mapping rows - mapping_rows = [] - try: - for row in sheet.iter_rows(min_row=2, values_only=True): - # Skip empty rows - if all(cell is None for cell in row): - continue - - row_dict = dict(zip(headers, row)) - org_name = row_dict.get("Organization_Name") - center_name = row_dict.get("Center_Name") - - if org_name and center_name: - mapping_rows.append({ - "Organization_Name": org_name, - "Center_Name": center_name - }) - except Exception as e: - console.print(f"[yellow]⚠ Error reading mapping file rows: {e}. Skipping center mapping.[/yellow]") - logging.warning(f"Error reading mapping file rows: {e}") - return {} - - # === VALIDATE: Check for duplicates on NORMALIZED versions === - org_names_normalized = {} # {normalized: original} - center_names_normalized = {} # {normalized: original} - - for row in mapping_rows: - org_name_raw = row["Organization_Name"] - center_name_raw = row["Center_Name"] - - # Normalize - org_normalized = org_name_raw.strip().lower() if isinstance(org_name_raw, str) else str(org_name_raw).strip().lower() - center_normalized = center_name_raw.strip().lower() if isinstance(center_name_raw, str) else str(center_name_raw).strip().lower() - - # Check for duplicates - if org_normalized in org_names_normalized: - console.print(f"[yellow]⚠ Duplicate found in Organization_Name: '{org_name_raw}'. Skipping center mapping.[/yellow]") - logging.warning(f"Duplicate in Organization_Name: '{org_name_raw}'") - return {} - - if center_normalized in center_names_normalized: - console.print(f"[yellow]⚠ Duplicate found in Center_Name: '{center_name_raw}'. Skipping center mapping.[/yellow]") - logging.warning(f"Duplicate in Center_Name: '{center_name_raw}'") - return {} - - # Store normalized version - org_names_normalized[org_normalized] = org_name_raw - center_names_normalized[center_normalized] = center_name_raw - - # === BUILD MAPPING DICT === - mapping_dict = {} - for row in mapping_rows: - org_name_raw = row["Organization_Name"] - center_name_raw = row["Center_Name"] - - # Normalize key, keep center_name clean (strip but not lower) - org_normalized = org_name_raw.strip().lower() if isinstance(org_name_raw, str) else str(org_name_raw).strip().lower() - center_clean = center_name_raw.strip() if isinstance(center_name_raw, str) else str(center_name_raw).strip() - - mapping_dict[org_normalized] = center_clean - - return mapping_dict - - -def apply_center_mapping(organizations_list, mapping_dict): - """ - Applies organization → center mapping to organizations list. - Adds 'Center_Name' field to each organization only if mapping succeeded. - - Args: - organizations_list: List of organization dicts - mapping_dict: {organization_name_normalized: center_name} - """ - if not mapping_dict: - # Mapping dict is empty due to error → skip mapping - return - - unmapped = [] - - for org in organizations_list: - org_name = org.get("name", "") - org_name_normalized = org_name.strip().lower() - - # Try to find match in mapping dict - if org_name_normalized in mapping_dict: - org["Center_Name"] = mapping_dict[org_name_normalized] - else: - # Fallback to organization name - org["Center_Name"] = org_name - unmapped.append(org_name) - - # Display results - if not unmapped: - console.print(f"[green]✓ All {len(organizations_list)} organizations mapped successfully.[/green]") - else: - console.print(f"[yellow]⚠ {len(unmapped)} organization(s) not mapped:[/yellow]") - for org_name in sorted(unmapped): - console.print(f"[yellow] - {org_name}[/yellow]") - - -# ============================================================================ -# BLOCK 8: PROCESSING ORCHESTRATION -# ============================================================================ - -def _process_inclusion_data(inclusion, organization): - """Processes a single inclusion record and returns a dictionary.""" - organization_id = organization["id"] - patient_id = get_nested_value(inclusion, path=["id"]) - pseudo = get_nested_value(inclusion, path=["pseudo"], default="Unknown") - - # Set thread-local context for detailed error logging in decorators - ctx = {"id": patient_id, "pseudo": pseudo} - thread_local_storage.current_patient_context = ctx - - # Initialize empty output structure - output_inclusion = {} - - # --- Prepare all data sources --- - # 1. Launch Visit Search asynchronously (it's slow, ~5s) — only if enabled by user - # We use run_with_context to pass the patient identity to the new thread - if fetch_six_month_visit: - visit_future = subtasks_thread_pool.submit(run_with_context, search_visit_by_pseudo_and_order, ctx, pseudo, 2) - else: - visit_future = None - - # 2. Prepare inclusion_data: enrich inclusion with organization info - inclusion_data = dict(inclusion) - inclusion_data["organization_id"] = organization_id - inclusion_data["organization_name"] = organization["name"] - if "Center_Name" in organization: - inclusion_data["center_name"] = organization["Center_Name"] - - # 3. Prepare record_data (sequential as it's often needed for questionnaires) - record_data = get_record_by_patient_id(patient_id, organization_id) - - # 4. Get tube_id for request and launch in parallel with questionnaires - tube_id = get_nested_value(record_data, path=["record", "clinicResearchData", 0, "requestMetaData", "tubeId"], default="undefined") - request_future = subtasks_thread_pool.submit(run_with_context, get_request_by_tube_id, ctx, tube_id) - all_questionnaires = get_all_questionnaires_by_patient(patient_id, record_data) - - # --- Synchronize all asynchronous tasks --- - try: - request_data = request_future.result() - except Exception as e: - logging.error(f"Error fetching request data for patient {patient_id}: {e}") - request_data = None - - try: - six_month_visit_data = visit_future.result() if visit_future is not None else {} - except Exception as e: - logging.error(f"Error searching 6-month visit for patient {pseudo}: {e}") - six_month_visit_data = None - - # --- Process all fields from configuration --- - process_inclusions_mapping(output_inclusion, inclusion_data, record_data, request_data, all_questionnaires, six_month_visit_data) - - return output_inclusion - - -def process_organization(organization, index, total_organizations): - global threads_list, global_pbar - position = get_thread_position() + 2 - - organization_id = organization["id"] - output_inclusions = [] - inclusions = get_organization_inclusions(organization_id, 1000, 1) - - with tqdm(total=len(inclusions), unit='Incl.', - desc=f"{str(index) + "/" + str(total_organizations):<9} - {organization['name'][:40]:<40}", - position=position, leave=False, bar_format=custom_bar_format) as incl_pbar: - for inclusion in inclusions: - output_inclusion = _process_inclusion_data(inclusion, organization) - output_inclusions.append(output_inclusion) - incl_pbar.update(1) - with _global_pbar_lock: - if global_pbar: - global_pbar.update(1) - - return output_inclusions - - -# ============================================================================ -# BLOCK 9: MAIN EXECUTION -# ============================================================================ - -def main(): - global global_pbar, excel_export_config, excel_export_enabled - - # --- Check for CLI Check_Only mode --- - check_only_mode = "--check-only" in sys.argv - - if check_only_mode: - run_check_only_mode(sys.argv) - return - - # --- Check for CLI Excel_Only mode --- - excel_only_mode = "--excel-only" in sys.argv - - if excel_only_mode: - # Load mapping configs for Excel export (same as normal workflow) - print() - load_inclusions_mapping_config() - load_organizations_mapping_config() - - # Completely externalized Excel-only workflow - export_excel_only(sys.argv, INCLUSIONS_FILE_NAME, ORGANIZATIONS_FILE_NAME, - inclusions_mapping_config, organizations_mapping_config) - return - - # === NORMAL MODE: Full data collection === - - print() - login_status = login() - while login_status == "Error": - login_status = login() - if login_status == "Exit": - return - - print() - ask_fetch_six_month_visit() - - print() - number_of_threads = int((questionary.text("Number of threads :", default="12", - validate=lambda x: x.isdigit() and 0 < int(x) <= MAX_THREADS).ask())) - - print() - ask_on_retry_exhausted() - - print() - wait_for_scheduled_launch() - - print() - load_inclusions_mapping_config() - load_organizations_mapping_config() - - # === LOAD AND VALIDATE EXCEL EXPORT CONFIGURATION === - print() - console.print("[bold cyan]Loading Excel export configuration...[/bold cyan]") - - # Validate Excel config (no data loading - JSONs don't exist yet in NORMAL MODE) - # prepare_excel_export() displays error messages directly to console - excel_export_config, has_config_critical, _ = \ - prepare_excel_export(inclusions_mapping_config, organizations_mapping_config) - - # Ask user confirmation if critical errors found - if has_config_critical: - print() - answer = questionary.confirm( - "⚠ Critical configuration errors detected. Continue anyway?", - default=False - ).ask() - if not answer: - console.print("[bold red]Aborted by user[/bold red]") - return - else: - excel_export_enabled = False # Skip Excel export if user continues despite errors - else: - excel_export_enabled = True if excel_export_config else False # Config is valid, Excel export can proceed - - print() - start_time = perf_counter() - organizations_list = get_all_organizations() - organizations_list = [org for org in organizations_list if org["id"] not in RC_ENDOBEST_EXCLUDED_CENTERS] - - # === APPLY ORGANIZATION CENTER MAPPING === - print() - print("Mapping organizations to centers...") - mapping_dict = load_organization_center_mapping() - apply_center_mapping(organizations_list, mapping_dict) - - print() - with ThreadPoolExecutor(max_workers=number_of_threads) as counter_pool: - futures = [counter_pool.submit(get_organization_counters, org) for org in organizations_list] - organizations_list_with_counters = [] - for future in tqdm(as_completed(futures), total=len(futures), desc=f"{'Fetching Organizations Counters':<52}", - unit="orgs.", bar_format=custom_bar_format): - try: - updated_org = future.result() - organizations_list_with_counters.append(updated_org) - except Exception as exc: - print(f"\nCRITICAL ERROR while fetching counters: {exc}") - counter_pool.shutdown(wait=False, cancel_futures=True) - raise - organizations_list = organizations_list_with_counters - print() - - inclusions_total_count = sum(org.get('patients_count', 0) for org in organizations_list) - organizations_list.sort(key=lambda org: (-org.get('patients_count', 0), org.get('name', ''))) - - number_of_organizations = len(organizations_list) - print(f"{inclusions_total_count} Inclusions in {number_of_organizations} Organizations...") - print() - - output_inclusions = [] - with tqdm(total=inclusions_total_count, unit="incl.", desc=f"{'Overall Progress':<52}", position=0, leave=True, - bar_format=custom_bar_format) as overall_progress_pbar: - global_pbar = overall_progress_pbar - - with ThreadPoolExecutor(max_workers=number_of_threads) as thread_pool: - futures = [thread_pool.submit(process_organization, organization, index + 1, number_of_organizations) - for index, organization in enumerate(organizations_list)] - - for future in as_completed(futures): - try: - result = future.result() - output_inclusions.extend(result) - except Exception as exc: - logging.critical(f"Arrêt dû à une exception critique dans un worker: {exc}", exc_info=True) - print(f"\nERREUR CRITIQUE dans un thread de traitement, arrêt du processus:") - print(f"Exception: {exc}") - print("Traceback original du worker:") - traceback.print_exc() - print( - "Signal d'arrêt envoyé au pool principal avec tentative d'annulation des tâches en attente...") - thread_pool.shutdown(wait=False, cancel_futures=True) - raise - - def get_sort_key(item): - org_name = get_nested_value(item, ["Patient_Identification", "Organisation_Name"], default='') - pseudo = get_nested_value(item, ["Patient_Identification", "Pseudo"], default='') - date_str = get_nested_value(item, ["Inclusion", "Inclusion_Date"], default='') - - sort_date = datetime.max - if date_str and date_str != "undefined": - try: - sort_date = datetime.strptime(date_str, '%d/%m/%Y') - except (ValueError, TypeError): - pass - - return org_name, sort_date, pseudo - - try: - print() - print() - print("Sorting results...") - output_inclusions.sort(key=get_sort_key) - - # === QUALITY CHECKS (before backup to avoid losing history on crash) === - print() - has_coherence_critical, has_regression_critical = run_quality_checks( - current_inclusions=output_inclusions, # list: données en mémoire (nouvellement collectées) - organizations_list=organizations_list, # list: données en mémoire avec compteurs - old_inclusions_filename=INCLUSIONS_FILE_NAME # str: "endobest_inclusions.json" (version courante sur disque) - ) - - # === CHECK FOR CRITICAL ISSUES AND ASK USER CONFIRMATION === - if has_coherence_critical or has_regression_critical: - print() - console.print("[bold red]⚠ CRITICAL issues detected in quality checks![/bold red]") - confirm_write = questionary.confirm( - "Do you want to write the results anyway?", - default=True - ).ask() - - if not confirm_write: - console.print("[yellow]✗ Output writing cancelled by user. Files were not modified.[/yellow]") - console.print("[yellow] You can re-run the script to try again.[/yellow]") - print() - print(f"Elapsed time : {str(timedelta(seconds=perf_counter() - start_time))}") - return - - # === BACKUP OLD FILES (only after checks pass and user confirmation) === - backup_output_files() - - # === WRITE NEW FILES === - print("Writing files...") - - with open(INCLUSIONS_FILE_NAME, 'w', encoding='utf-8') as f_json: - json.dump(output_inclusions, f_json, indent=4, ensure_ascii=False) - with open(ORGANIZATIONS_FILE_NAME, 'w', encoding='utf-8') as f_json: - json.dump(organizations_list, f_json, indent=4, ensure_ascii=False) - - console.print("[green]✓ Data saved to JSON files[/green]") - print() - - # === EXCEL EXPORT === - # Completely externalized Excel export workflow - run_normal_mode_export(excel_export_enabled, excel_export_config, - inclusions_mapping_config, organizations_mapping_config) - - except IOError as io_err: - logging.critical(f"Error while writing json file : {io_err}") - print(f"Error while writing json file : {io_err}") - except Exception as exc: - logging.critical(f"Error while writing json file : {exc}") - print(f"Error while writing json file : {exc}") - - print() - print(f"Elapsed time : {str(timedelta(seconds=perf_counter() - start_time))}") - - -if __name__ == '__main__': - - try: - main() - except Exception as e: - logging.critical(f"Le script principal s'est terminé prématurément à cause d'une exception: {e}", exc_info=True) - print(f"Le script s'est arrêté à cause d'une erreur : {e}") - finally: - if 'subtasks_thread_pool' in globals() and subtasks_thread_pool: - subtasks_thread_pool.shutdown(wait=False, cancel_futures=True) - print('\n') - input("Press Enter to exit...") diff --git a/eb_dashboard_check_only-exe.bat b/eb_dashboard_check_only-exe.bat deleted file mode 100644 index df4de76..0000000 --- a/eb_dashboard_check_only-exe.bat +++ /dev/null @@ -1,3 +0,0 @@ -@echo off -eb_dashboard.exe --check-only %* - diff --git a/eb_dashboard_check_only.bat b/eb_dashboard_check_only.bat deleted file mode 100644 index 98e3de2..0000000 --- a/eb_dashboard_check_only.bat +++ /dev/null @@ -1,4 +0,0 @@ -@echo off -call C:\PythonProjects\.rcvenv\Scripts\activate.bat -python eb_dashboard.py --check-only %* - diff --git a/eb_dashboard_check_only_debug-exe.bat b/eb_dashboard_check_only_debug-exe.bat deleted file mode 100644 index a956d60..0000000 --- a/eb_dashboard_check_only_debug-exe.bat +++ /dev/null @@ -1,3 +0,0 @@ -@echo off -eb_dashboard.exe --check-only --debug %* - diff --git a/eb_dashboard_check_only_debug.bat b/eb_dashboard_check_only_debug.bat deleted file mode 100644 index e0550b0..0000000 --- a/eb_dashboard_check_only_debug.bat +++ /dev/null @@ -1,4 +0,0 @@ -@echo off -call C:\PythonProjects\.rcvenv\Scripts\activate.bat -python eb_dashboard.py --check-only --debug %* - diff --git a/eb_dashboard_constants.py b/eb_dashboard_constants.py deleted file mode 100644 index 8cec7cc..0000000 --- a/eb_dashboard_constants.py +++ /dev/null @@ -1,143 +0,0 @@ -""" -Endobest Dashboard - Centralized Constants Module - -This module defines ALL constants used across the Endobest Dashboard application. -It serves as the single source of truth for all configuration values. - -All other modules MUST import constants from this module, NOT define them locally. - -Structure: -- File names & paths -- Table names (Excel sheets) -- API endpoints -- Authentication credentials -- Threading & retry parameters -- Protocol IDs -- UI formatting constants -""" - -# ============================================================================ -# FILE NAMES & PATHS -# ============================================================================ - -INCLUSIONS_FILE_NAME = "endobest_inclusions.json" -ORGANIZATIONS_FILE_NAME = "endobest_organizations.json" -OLD_FILE_SUFFIX = "_old" -CONFIG_FOLDER_NAME = "config" - -# ============================================================================ -# EXCEL CONFIGURATION FILES -# ============================================================================ - -DASHBOARD_CONFIG_FILE_NAME = "Endobest_Dashboard_Config.xlsx" -ORG_CENTER_MAPPING_FILE_NAME = "eb_org_center_mapping.xlsx" - -# ============================================================================ -# TABLE NAMES (Excel sheets in DASHBOARD_CONFIG_FILE_NAME) -# ============================================================================ - -INCLUSIONS_MAPPING_TABLE_NAME = "Inclusions_Mapping" -ORGANIZATIONS_MAPPING_TABLE_NAME = "Organizations_Mapping" -EXCEL_WORKBOOKS_TABLE_NAME = "Excel_Workbooks" -EXCEL_SHEETS_TABLE_NAME = "Excel_Sheets" -REGRESSION_CHECK_TABLE_NAME = "Regression_Check" -ORG_CENTER_MAPPING_TABLE_NAME = "Org_Center_Mapping" - -# ============================================================================ -# API ENDPOINTS & AUTHENTICATION -# ============================================================================ - -IAM_URL = "https://api-auth.ziwig-connect.com" -RC_URL = "https://api-hcp.ziwig-connect.com" -GDD_URL = "https://api-lab.ziwig-connect.com" -RC_APP_ID = "602aea51-cdb2-4f73-ac99-fd84050dc393" - -DEFAULT_USER_NAME = "ziwig-invest2@yopmail.com" -DEFAULT_PASSWORD = "pbrrA765$bP3beiuyuiyhiuy!agxagx" - -# ============================================================================ -# RESEARCH PROTOCOL CONFIGURATION -# ============================================================================ - -RC_ENDOBEST_PROTOCOL_ID = "3c7bcb4d-91ed-4e9f-b93f-99d8447a276e" -RC_ENDOBEST_EXCLUDED_CENTERS = [ - "e18e7487-60d5-4110-b465-b4156fe0e7f3", - "5582bd75-12fd-4d8e-bfd6-d63c43667a99", - "e053512f-d989-4564-8a73-b3d2d1b38fec" -] - -# ============================================================================ -# API ENDPOINTS -# ============================================================================ - -# Authentication endpoints -API_AUTH_LOGIN_ENDPOINT = "/api/auth/ziwig-pro/login" -API_AUTH_CONFIG_TOKEN_ENDPOINT = "/api/auth/config-token" -API_AUTH_REFRESH_TOKEN_ENDPOINT = "/api/auth/refreshToken" - -# Research Clinic (RC) endpoints -API_RC_GET_ALL_ORGANIZATIONS_ENDPOINT = "/api/inclusions/getAllOrganizations" -API_RC_INCLUSION_STATISTICS_ENDPOINT = "/api/inclusions/inclusion-statistics" -API_RC_SEARCH_INCLUSIONS_ENDPOINT = "/api/inclusions/search" -API_RC_GET_RECORD_BY_PATIENT_ENDPOINT = "/api/records/byPatient" -API_RC_GET_SURVEYS_ENDPOINT = "/api/surveys/filter/with-answers" -API_RC_SEARCH_VISITS_ENDPOINT = "/api/visits/visits/search" - -# GDD (Lab/Diagnostic) endpoints -API_GDD_GET_REQUEST_BY_TUBE_ID_ENDPOINT = "/api/requests/by-tube-id" - -# ============================================================================ -# THREADING & RETRY PARAMETERS -# ============================================================================ - -ERROR_MAX_RETRY = 10 -WAIT_BEFORE_RETRY = 1 -WAIT_BEFORE_NEW_BATCH_OF_RETRIES = 20 -MAX_BATCHS_OF_RETRIES = 3 -MAX_THREADS = 40 - -# Excel operation retry parameters (for handling transient xlwings/Excel failures) -# Applies to: SaveAs, Range.Select(), and other COM operations that can fail transiently on Excel 2013 -EXCEL_COM_MAX_RETRIES = 3 # Maximum retry attempts for transient COM failures -EXCEL_COM_RETRY_DELAY = 0.5 # Delay in seconds between retries - -# ============================================================================ -# LOGGING CONFIGURATION -# ============================================================================ - -LOG_FILE_NAME = "dashboard.log" - -# ============================================================================ -# API CONFIGURATION -# ============================================================================ - -API_TIMEOUT = 60 # seconds - timeout for all API calls - -# ============================================================================ -# EXCEL EXPORT CONFIGURATION -# ============================================================================ - -# Output file conflict handling actions -OUTPUT_ACTION_OVERWRITE = "Overwrite" -OUTPUT_ACTION_INCREMENT = "Increment" -OUTPUT_ACTION_BACKUP = "Backup" -OUTPUT_ACTIONS = [OUTPUT_ACTION_OVERWRITE, OUTPUT_ACTION_INCREMENT, OUTPUT_ACTION_BACKUP] - -# Excel export data source types -SOURCE_TYPE_INCLUSIONS = "Inclusions" -SOURCE_TYPE_ORGANIZATIONS = "Organizations" -SOURCE_TYPE_VARIABLE = "Variable" -SOURCE_TYPES = [SOURCE_TYPE_INCLUSIONS, SOURCE_TYPE_ORGANIZATIONS, SOURCE_TYPE_VARIABLE] - -# Excel export target types (for data filling) -TARGET_TYPE_TABLE = "Table" # Excel structured table (ListObject) - has headers, supports Resize() -TARGET_TYPE_NAMED_RANGE = "NamedRange" # Simple named range - no headers, resize via Name.RefersTo - -# ============================================================================ -# UI FORMATTING (Progress bars) -# ============================================================================ - -BAR_N_FMT_WIDTH = 4 -BAR_TOTAL_FMT_WIDTH = 4 -BAR_TIME_WIDTH = 8 -BAR_RATE_WIDTH = 10 diff --git a/eb_dashboard_debug-exe.bat b/eb_dashboard_debug-exe.bat deleted file mode 100644 index 96390a8..0000000 --- a/eb_dashboard_debug-exe.bat +++ /dev/null @@ -1,3 +0,0 @@ -@echo off -eb_dashboard.exe --debug %* - diff --git a/eb_dashboard_debug.bat b/eb_dashboard_debug.bat deleted file mode 100644 index 379f097..0000000 --- a/eb_dashboard_debug.bat +++ /dev/null @@ -1,4 +0,0 @@ -@echo off -call C:\PythonProjects\.rcvenv\Scripts\activate.bat -python eb_dashboard.py --debug %* - diff --git a/eb_dashboard_excel_export.py b/eb_dashboard_excel_export.py deleted file mode 100644 index 265ae72..0000000 --- a/eb_dashboard_excel_export.py +++ /dev/null @@ -1,2094 +0,0 @@ -""" -Endobest Dashboard - Excel Export Module - -This module handles generation of Excel workbooks from Inclusions and Organizations data. -Fully configurable via external Excel configuration file (Endobest_Dashboard_Config.xlsx). - -Features: -- Config-driven workbook generation (no code changes needed) -- Support for Variable templates and Table data fills -- Configurable filtering, sorting, and value replacement -- xlwings-based data processing with automatic formula recalculation -- Robust error handling and logging -""" - -import functools -import json -import logging -import os -import re -import shutil -import tempfile -import traceback -import zipfile -from datetime import datetime, timedelta, timezone -from time import perf_counter -from zoneinfo import ZoneInfo - -import openpyxl -from openpyxl.utils import get_column_letter -from rich.console import Console - -try: - import xlwings as xw -except ImportError: - xw = None - -from eb_dashboard_utils import get_nested_value, get_config_path -from eb_dashboard_constants import ( - INCLUSIONS_FILE_NAME, - ORGANIZATIONS_FILE_NAME, - DASHBOARD_CONFIG_FILE_NAME, - EXCEL_WORKBOOKS_TABLE_NAME, - EXCEL_SHEETS_TABLE_NAME, - OUTPUT_ACTION_OVERWRITE, - OUTPUT_ACTION_INCREMENT, - OUTPUT_ACTION_BACKUP, - OUTPUT_ACTIONS, - SOURCE_TYPE_INCLUSIONS, - SOURCE_TYPE_ORGANIZATIONS, - SOURCE_TYPE_VARIABLE, - SOURCE_TYPES, - TARGET_TYPE_TABLE, - TARGET_TYPE_NAMED_RANGE, - EXCEL_COM_MAX_RETRIES, - EXCEL_COM_RETRY_DELAY -) - -# ============================================================================ -# CONSTANTS -# ============================================================================ - -EXCEL_OUTPUT_FOLDER = os.getcwd() # Current working directory - -# ============================================================================ -# MODULE DEPENDENCIES (injected from main module) -# ============================================================================ - -console = None - -# NOTE: Constants imported from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH): -# Configuration Files: -# - INCLUSIONS_FILE_NAME, ORGANIZATIONS_FILE_NAME, DASHBOARD_CONFIG_FILE_NAME -# - EXCEL_WORKBOOKS_TABLE_NAME, EXCEL_SHEETS_TABLE_NAME -# Output Handling: -# - OUTPUT_ACTION_OVERWRITE, OUTPUT_ACTION_INCREMENT, OUTPUT_ACTION_BACKUP, OUTPUT_ACTIONS -# Data Sources: -# - SOURCE_TYPE_INCLUSIONS, SOURCE_TYPE_ORGANIZATIONS, SOURCE_TYPE_VARIABLE, SOURCE_TYPES -# -# NOTE: Mapping table names (INCLUSIONS_MAPPING_TABLE_NAME, ORGANIZATIONS_MAPPING_TABLE_NAME) -# are defined in constants but loaded/used in main script (eb_dashboard.py) - - -def set_dependencies(console_instance): - """ - Inject console instance from main module. - - Args: - console_instance: Rich Console instance for formatted output - - Note: - File and table names are imported directly from eb_dashboard_constants.py - (SINGLE SOURCE OF TRUTH) - """ - global console - console = console_instance - - -# ============================================================================ -# PUBLIC FUNCTIONS -# ============================================================================ - -def load_excel_export_config(console_instance=None): - """ - Load and validate Excel export configuration from config file. - - Args: - console_instance: Optional Rich Console instance - - Returns: - Tuple of (excel_workbooks_config, excel_sheets_config, has_error, error_messages) - - excel_workbooks_config: List of workbook definitions - - excel_sheets_config: List of sheet fill definitions - - has_error: Boolean flag if critical errors found - - error_messages: List of error message strings - """ - global console - if console_instance: - console = console_instance - - config_path = os.path.join(get_config_path(), DASHBOARD_CONFIG_FILE_NAME) - error_messages = [] - - try: - workbook = openpyxl.load_workbook(config_path) - except FileNotFoundError: - error_msg = f"Error: Configuration file not found at: {config_path}" - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - return None, None, True, [error_msg] - - # Load Excel_Workbooks sheet - if EXCEL_WORKBOOKS_TABLE_NAME not in workbook.sheetnames: - error_msg = f"Error: Sheet '{EXCEL_WORKBOOKS_TABLE_NAME}' not found in configuration file." - error_messages.append(error_msg) - return None, None, True, error_messages - - excel_workbooks_sheet = workbook[EXCEL_WORKBOOKS_TABLE_NAME] - excel_workbooks_config = [] - - try: - headers = [cell.value for cell in excel_workbooks_sheet[1]] - for row_index, row in enumerate(excel_workbooks_sheet.iter_rows(min_row=2, values_only=True), start=2): - if all(cell is None for cell in row): - continue # Skip empty rows - - workbook_config = dict(zip(headers, row)) - - # Validate required fields - if not workbook_config.get("workbook_id"): - error_msg = f"Row {row_index}: 'workbook_id' is mandatory" - error_messages.append(error_msg) - continue - - if not workbook_config.get("workbook_template_name"): - error_msg = f"Row {row_index}: 'workbook_template_name' is mandatory" - error_messages.append(error_msg) - continue - - if not workbook_config.get("output_file_name_template"): - error_msg = f"Row {row_index}: 'output_file_name_template' is mandatory" - error_messages.append(error_msg) - continue - - if_output_exists = workbook_config.get("if_output_exists", OUTPUT_ACTION_OVERWRITE) - if if_output_exists not in OUTPUT_ACTIONS: - error_msg = f"Row {row_index}: 'if_output_exists' must be one of {OUTPUT_ACTIONS}" - error_messages.append(error_msg) - continue - - excel_workbooks_config.append(workbook_config) - except Exception as e: - error_msg = f"Error loading Excel_Workbooks sheet: {e}" - error_messages.append(error_msg) - return None, None, True, error_messages - - # Load Excel_Sheets sheet - if EXCEL_SHEETS_TABLE_NAME not in workbook.sheetnames: - error_msg = f"Error: Sheet '{EXCEL_SHEETS_TABLE_NAME}' not found in configuration file." - error_messages.append(error_msg) - return excel_workbooks_config, None, True, error_messages - - excel_sheets_sheet = workbook[EXCEL_SHEETS_TABLE_NAME] - excel_sheets_config = [] - - try: - headers = [cell.value for cell in excel_sheets_sheet[1]] - for row_index, row in enumerate(excel_sheets_sheet.iter_rows(min_row=2, values_only=True), start=2): - if all(cell is None for cell in row): - continue - - sheet_config = dict(zip(headers, row)) - - # Validate required fields - if not sheet_config.get("workbook_id"): - continue # Skip rows without workbook_id - - if not sheet_config.get("source_type"): - error_msg = f"Row {row_index}: 'source_type' is mandatory" - error_messages.append(error_msg) - continue - - source_type = sheet_config["source_type"] - if source_type not in SOURCE_TYPES: - error_msg = f"Row {row_index}: 'source_type' must be one of {SOURCE_TYPES}" - error_messages.append(error_msg) - continue - - if not sheet_config.get("source"): - error_msg = f"Row {row_index}: 'source' is mandatory" - error_messages.append(error_msg) - continue - - if not sheet_config.get("target_name"): - error_msg = f"Row {row_index}: 'target_name' is mandatory" - error_messages.append(error_msg) - continue - - # Parse JSON fields - has_json_error = False - for json_field in ["filter_condition", "sort_keys", "value_replacement"]: - value = sheet_config.get(json_field) - if value: - if isinstance(value, str): - try: - sheet_config[json_field] = json.loads(value) - except json.JSONDecodeError: - error_msg = f"Row {row_index}, field '{json_field}': Invalid JSON format" - error_messages.append(error_msg) - has_json_error = True - break # ← Skip this row entirely - # else: value is already parsed (dict/list), keep as-is - else: - # Empty/None value - leave as None or empty - sheet_config[json_field] = None - - if not has_json_error: - excel_sheets_config.append(sheet_config) - except Exception as e: - error_msg = f"Error loading Excel_Sheets sheet: {e}" - error_messages.append(error_msg) - return excel_workbooks_config, excel_sheets_config, True, error_messages - - workbook.close() - - has_error = len(error_messages) > 0 - return excel_workbooks_config, excel_sheets_config, has_error, error_messages - - -def validate_excel_config(excel_config, console_instance, inclusions_mapping_config=None, organizations_mapping_config=None): - """ - Validate Excel export configuration against templates. - - Args: - excel_config: Tuple of (workbooks_config, sheets_config) from load_excel_export_config() - console_instance: Rich Console instance - inclusions_mapping_config: Loaded inclusions mapping config (optional, for future use) - organizations_mapping_config: Loaded organizations mapping config (optional, for future use) - - Returns: - Tuple of (has_critical_error, error_messages) - """ - global console - if console_instance: - console = console_instance - - if not excel_config or not excel_config[0] or not excel_config[1]: - return False, [] # No config to validate - - excel_workbooks_config, excel_sheets_config = excel_config[0], excel_config[1] - error_messages = [] - - # Validate each workbook - for workbook_config in excel_workbooks_config: - workbook_id = workbook_config.get("workbook_id") - template_name = workbook_config.get("workbook_template_name") - - # Check template exists - template_path = os.path.join(get_config_path(), template_name) - if not os.path.exists(template_path): - error_msg = f"Template '{template_name}' (workbook_id: {workbook_id}) not found in config/" - error_messages.append(error_msg) - continue - - # Check template is valid Excel - try: - template_wb = openpyxl.load_workbook(template_path) - except Exception as e: - error_msg = f"Template '{template_name}' (workbook_id: {workbook_id}) is not a valid Excel file: {e}" - error_messages.append(error_msg) - continue - - # Validate sheets for this workbook - workbook_sheets = [s for s in excel_sheets_config if s.get("workbook_id") == workbook_id] - - for sheet_config in workbook_sheets: - target_name = sheet_config.get("target_name") - source_type = sheet_config.get("source_type") - - # Find the target in the template (check both named ranges AND tables) - target_found = False - if target_name in template_wb.defined_names: - target_found = True - else: - # Check if it's a table in any sheet - for sheet in template_wb.sheetnames: - sheet_obj = template_wb[sheet] - if hasattr(sheet_obj, 'tables') and target_name in sheet_obj.tables: - target_found = True - break - - # If target was found, validate based on source type - if target_found: - # For Variable sources, ensure it's a single cell - if source_type == SOURCE_TYPE_VARIABLE: - # Check if the defined name references a single cell - # NOTE: We still use openpyxl here because template_wb is already open from config loading - table_dims = _get_named_range_dimensions(template_wb, target_name) - if table_dims: - _, _, height, width = table_dims - if height != 1 or width != 1: - error_msg = f"Target '{target_name}' (template: {template_name}) for Variable source must reference a single cell (found {height}x{width})" - error_messages.append(error_msg) - - # For Table sources (Inclusions/Organizations), validate dimensions - elif source_type in [SOURCE_TYPE_INCLUSIONS, SOURCE_TYPE_ORGANIZATIONS]: - # Get the dimensions of the named range - # NOTE: We still use openpyxl here because template_wb is already open from config loading - table_dims = _get_named_range_dimensions(template_wb, target_name) - if table_dims: - _, _, height, width = table_dims - - # CRITICAL: Table height MUST be exactly 1 (template row only) - if height != 1: - error_msg = f"Target '{target_name}' (template: {template_name}, source_type: {source_type}) must have height=1 (found height={height}). " \ - f"Template row must be a single row." - error_messages.append(error_msg) - - # CRITICAL: Table width must be >= max(mapping_indices) - # Get the mapping column to validate indices - source = sheet_config.get("source") - if source: - mapping_config = inclusions_mapping_config if source_type == SOURCE_TYPE_INCLUSIONS else organizations_mapping_config - if mapping_config: - column_mapping = _get_column_mapping(mapping_config, source, source_type) - if column_mapping: - max_col_index = max(column_mapping.keys()) # 0-based index - if max_col_index >= width: - error_msg = f"Target '{target_name}' (template: {template_name}) width={width} is insufficient. " \ - f"Maximum column index from mapping is {max_col_index} (0-based). " \ - f"Width must be > {max_col_index}." - error_messages.append(error_msg) - else: - error_msg = f"Named range '{target_name}' (template: {template_name}, workbook_id: {workbook_id}) not found in template" - error_messages.append(error_msg) - - template_wb.close() - - return len(error_messages) > 0, error_messages - - -def export_to_excel(inclusions_data, organizations_data, excel_config, - inclusions_mapping_config=None, organizations_mapping_config=None): - """ - Main export function - orchestrates Excel workbook generation. - - Args: - inclusions_data: List of inclusion dictionaries - organizations_data: List of organization dictionaries - excel_config: Tuple of (workbooks_config, sheets_config) - inclusions_mapping_config: Inclusions field mapping configuration - organizations_mapping_config: Organizations field mapping configuration - - Returns: - Tuple of (success, error_count) - - Note: - Uses global console instance (injected from main script) - """ - if not excel_config or not excel_config[0] or not excel_config[1]: - console.print("[yellow]⚠ No Excel export configuration found, skipping[/yellow]") - return True, 0 - - excel_workbooks_config, excel_sheets_config = excel_config[0], excel_config[1] - - # Prepare template variables - template_vars = _prepare_template_variables() - - error_count = 0 - success_count = 0 - - # Track overall export duration - export_start_time = perf_counter() - - # Process each workbook - for workbook_config in excel_workbooks_config: - try: - workbook_id = workbook_config.get("workbook_id") - template_name = workbook_config.get("workbook_template_name") - output_template = workbook_config.get("output_file_name_template") - if_output_exists = workbook_config.get("if_output_exists", OUTPUT_ACTION_OVERWRITE) - - # Resolve output filename - try: - output_filename = output_template.format(**template_vars) - except KeyError as e: - console.print(f"[bold red]✗ Unknown variable in template: {e}[/bold red]") - error_count += 1 - continue - - output_path = os.path.join(EXCEL_OUTPUT_FOLDER, output_filename) - - # Log workbook processing start - logging.info(f"Processing workbook: {workbook_id} (template: {template_name}, output: {output_filename})") - - # PHASE PRÉPARATION: Handle existing file according to action - output_path = _handle_output_exists(output_path, if_output_exists) - - # XLWINGS PHASE: Open template, fill, save as output - template_path = os.path.join(get_config_path(), template_name) - - # Track workbook processing duration with spinning status - workbook_start_time = perf_counter() - - try: - if xw is None: - raise ImportError("xlwings is not installed. Install with: pip install xlwings") - - # Use status with spinner while processing the workbook - with console.status(f"[bold cyan]Exporting {output_filename}...", spinner="dots"): - # PERFORMANCE: Make Excel invisible BEFORE opening the workbook - app_xw = None - screen_updating_original = None - visible_original = None - try: - # Get or create Excel app in invisible mode - if xw.apps: - app_xw = xw.apps.active - visible_original = app_xw.visible - screen_updating_original = app_xw.screen_updating - else: - # Create new app in invisible mode - app_xw = xw.App(visible=False) - visible_original = False - screen_updating_original = True - - app_xw.visible = False # Make Excel invisible - app_xw.screen_updating = False # Disable screen updates - - except Exception as e: - logging.warning(f"Failed to manage Excel visibility: {e}") - app_xw = None - - # Open TEMPLATE directly (not a copy) - wb_xw = xw.Book(template_path, update_links=False) - - try: - # CAPTURE TEMPLATE STATE: Save initial state for restoration before save - template_state = _capture_workbook_state(wb_xw, workbook_context=f"{workbook_id} ({output_filename})") - logging.info(f"Captured template state: active_sheet='{template_state['active_sheet']}', {len(template_state['sheets'])} sheet(s)") - - # Get sheets for this workbook - workbook_sheets = [s for s in excel_sheets_config if s.get("workbook_id") == workbook_id] - - # Process each sheet with xlwings - for sheet_config in workbook_sheets: - _process_sheet_xlwings( - wb_xw, - sheet_config, - inclusions_data, - organizations_data, - inclusions_mapping_config=inclusions_mapping_config, - organizations_mapping_config=organizations_mapping_config, - template_vars=template_vars, - workbook_context=f"{workbook_id} ({output_filename})" - ) - - # RESTORE TEMPLATE STATE: Restore initial state before saving - _restore_workbook_state(wb_xw, template_state, workbook_context=f"{workbook_id} ({output_filename})") - logging.info(f"Restored template state before save") - - # Save as output file with forced overwrite (with retry mechanism) - # This preserves filesystem versioning for cloud storage - # Disable alerts to force silent overwrite - abs_output_path = os.path.abspath(output_path) - if app_xw: - display_alerts_original = app_xw.api.DisplayAlerts - app_xw.api.DisplayAlerts = False - try: - _save_workbook_with_retry(wb_xw, abs_output_path) - logging.info(f"Saved workbook to: {abs_output_path}") - finally: - if app_xw: - app_xw.api.DisplayAlerts = display_alerts_original - # Excel automatically recalculates formulas on save - # No need for separate recalculation step - - finally: - # Always close the workbook and restore visibility/screen updates - wb_xw.close() - if app_xw is not None: - try: - if screen_updating_original is not None: - app_xw.screen_updating = screen_updating_original - if visible_original is not None: - app_xw.visible = visible_original - except: - pass - - # Calculate duration and display success message - workbook_duration = perf_counter() - workbook_start_time - console.print(f"[green]✓ Created: {output_filename} ({workbook_duration:.2f}s)[/green]") - success_count += 1 - - except Exception as e: - console.print(f"[bold red]✗ Error processing {output_filename}: {e}[/bold red]") - logging.error(f"Excel export error for {output_filename}: {e}", exc_info=True) - error_count += 1 - continue - - except Exception as e: - console.print(f"[bold red]✗ Error processing workbook {workbook_id}: {e}[/bold red]") - logging.error(f"Excel workbook processing error: {e}", exc_info=True) - error_count += 1 - - # Summary with total duration - total_workbooks = success_count + error_count - export_duration = perf_counter() - export_start_time - - if error_count == 0: - # Success: all workbooks processed - console.print(f"\n[green]✓ Excel export completed successfully: {success_count}/{total_workbooks} workbooks generated ({export_duration:.2f}s)[/green]") - else: - # Failure: some or all workbooks failed - if success_count > 0: - # Partial success - console.print(f"\n[yellow]⚠ Excel export completed with errors ({export_duration:.2f}s)[/yellow]") - console.print(f"[green] {success_count} workbook(s) generated successfully[/green]") - console.print(f"[bold red] {error_count} workbook(s) failed[/bold red]") - else: - # Complete failure - console.print(f"\n[bold red]✗ Excel export failed: all {error_count} workbook(s) failed ({export_duration:.2f}s)[/bold red]") - - return error_count == 0, error_count - - -# ============================================================================ -# INTERNAL FUNCTIONS -# ============================================================================ - -def _prepare_template_variables(): - """ - Prepare variables available for Template String evaluation. - - Returns: - Dictionary of variables available to .format(**locals()) - """ - # Get UTC timestamp from inclusions file - # Use constant from eb_dashboard_constants (SINGLE SOURCE OF TRUTH) - inclusions_file = INCLUSIONS_FILE_NAME - if os.path.exists(inclusions_file): - file_mtime = os.path.getmtime(inclusions_file) - extract_date_time_utc = datetime.fromtimestamp(file_mtime, tz=timezone.utc) - else: - extract_date_time_utc = datetime.now(tz=timezone.utc) - - # Convert to Paris timezone - extract_date_time_french = extract_date_time_utc.astimezone( - ZoneInfo('Europe/Paris') - ) - - return { - 'extract_date_time_utc': extract_date_time_utc, - 'extract_date_time_french': extract_date_time_french, - } - - -def _apply_filter(item, filter_condition): - """ - Apply filter condition to item (AND logic for all conditions). - - Args: - item: Dictionary to filter - filter_condition: List of [field_name, operator, value] conditions - - Returns: - Boolean True if item passes all filters - """ - if not filter_condition: - return True # Empty filter = accept all - - for field_path, operator, expected_value in filter_condition: - actual_value = get_nested_value(item, field_path.split(".")) - - if actual_value is None: - return False # Missing field = filter out - - # Apply operator - if operator == "==": - if actual_value != expected_value: - return False - elif operator == "<>": - if actual_value == expected_value: - return False - elif operator == ">": - if not (actual_value > expected_value): - return False - elif operator == ">=": - if not (actual_value >= expected_value): - return False - elif operator == "<": - if not (actual_value < expected_value): - return False - elif operator == "<=": - if not (actual_value <= expected_value): - return False - - return True # All conditions passed - - -def _apply_sort(items, sort_keys): - """ - Apply multi-key sort to items with support for mixed asc/desc ordering. - - Args: - items: List of dictionaries to sort - sort_keys: List of [field_name, order] or [field_name, order, option] - where: - - order is "asc" or "desc" - - option (optional) can be: - * datetime format string (e.g., "%Y-%m-%d") for date parsing - * "*natsort" for natural alphanumeric sorting - Supports MIXED asc/desc on different columns! - - Returns: - Sorted list - """ - if not sort_keys: - return items - - def natural_sort_key(text): - """ - Helper for natural alphanumeric sorting. - Converts "ENDOBEST-003-920-BA" to ["endobest", "-", 3, "-", 920, "-", "ba"] - Python's native list comparison handles the rest element by element. - """ - def convert(segment): - return int(segment) if segment.isdigit() else segment.lower() - return [convert(s) for s in re.split(r'(\d+)', str(text)) if s] - - def compare_items(item1, item2): - """ - Comparator function for multi-key sorting with mixed asc/desc support. - Returns: -1 if item1 < item2, 0 if equal, 1 if item1 > item2 - """ - for sort_spec in sort_keys: - field_name = sort_spec[0] - order = sort_spec[1] if len(sort_spec) > 1 else "asc" - sort_option = sort_spec[2] if len(sort_spec) > 2 else None - - # Get values from both items - val1 = get_nested_value(item1, field_name.split(".")) - val2 = get_nested_value(item2, field_name.split(".")) - - # Handle undefined/None - place at end - is_undef1 = val1 in [None, "", "undefined"] - is_undef2 = val2 in [None, "", "undefined"] - - # Both undefined: equal - if is_undef1 and is_undef2: - continue - - # Only one undefined: undefined goes last - if is_undef1: - return 1 # item1 > item2 (undefined last) - if is_undef2: - return -1 # item1 < item2 (item2 is undefined) - - # Check if natural sort requested - is_natural_sort = (sort_option == "*natsort") - - # Parse datetime if option is a datetime format (not *natsort) - if sort_option and not is_natural_sort: - datetime_format = sort_option - try: - val1 = datetime.strptime(str(val1), datetime_format).timestamp() - except (ValueError, TypeError): - val1 = None - return 1 # Invalid datetime goes last - - try: - val2 = datetime.strptime(str(val2), datetime_format).timestamp() - except (ValueError, TypeError): - val2 = None - return -1 # Invalid datetime goes last - - # Apply natural sort transformation if requested - if is_natural_sort: - val1 = natural_sort_key(val1) - val2 = natural_sort_key(val2) - - # Compare values - # For strings (non-natsort), use case-insensitive comparison for natural alphabetical ordering - if isinstance(val1, str) and isinstance(val2, str): - val1_lower = val1.lower() - val2_lower = val2.lower() - if val1_lower < val2_lower: - cmp_result = -1 - elif val1_lower > val2_lower: - cmp_result = 1 - else: - # Case-insensitive equal, use case-sensitive as tiebreaker - if val1 < val2: - cmp_result = -1 - elif val1 > val2: - cmp_result = 1 - else: - cmp_result = 0 - else: - # Non-string comparison (numbers, dates, natsort lists, etc.) - if val1 < val2: - cmp_result = -1 - elif val1 > val2: - cmp_result = 1 - else: - cmp_result = 0 # Equal, continue to next sort key - - # Apply asc/desc ordering - if cmp_result != 0: - is_desc = isinstance(order, str) and order.lower() == "desc" - return cmp_result if not is_desc else -cmp_result - - # All keys are equal - return 0 - - # Use functools.cmp_to_key to convert comparator to key function - return sorted(items, key=functools.cmp_to_key(compare_items)) - - -def _apply_value_replacement(value, replacements): - """ - Apply value replacement rules (first-match-wins, strict type matching). - - Args: - value: Value to potentially replace - replacements: List of [value_before, value_after] pairs - - Returns: - Replaced value or original - - Note: - This function is currently prepared for future use in table data filling. - """ - if not replacements: - return value - - for value_before, value_after in replacements: - if value == value_before: # Strict equality - return value_after - - return value # No match, return original - - -# OBSOLETE: _preserve_media_in_workbook() removed - xlwings handles media preservation automatically -# When using xlwings, Excel natively preserves all media, images, and relationships - - -def _save_workbook_with_retry(wb_xw, output_path): - """ - Save workbook with retry mechanism for transient xlwings/Excel failures. - - Excel's SaveAs can fail randomly on some environments (especially Excel 2013). - This function retries the save operation with configurable retry count and delay. - - Args: - wb_xw: xlwings Book object - output_path: Absolute path where workbook should be saved - - Raises: - Exception: If SaveAs fails after all retry attempts - """ - from time import sleep - - for attempt in range(1, EXCEL_COM_MAX_RETRIES + 1): - try: - logging.info(f"SaveAs attempt {attempt}/{EXCEL_COM_MAX_RETRIES}: {output_path}") - wb_xw.api.SaveAs(output_path) - logging.info(f"SaveAs succeeded on attempt {attempt}") - return # Success - - except Exception as e: - error_msg = f"SaveAs failed on attempt {attempt}: {type(e).__name__}: {str(e)}" - - if attempt < EXCEL_COM_MAX_RETRIES: - # Intermediate retry - log as warning and sleep before retry - logging.warning(f"{error_msg} - Retrying in {EXCEL_COM_RETRY_DELAY}s...") - sleep(EXCEL_COM_RETRY_DELAY) - else: - # Final attempt failed - log as critical error and raise - logging.error(f"{error_msg} - All {EXCEL_COM_MAX_RETRIES} retry attempts exhausted") - raise - - -def _capture_workbook_state(wb_xw, workbook_context=""): - """ - Capture the visual state of the workbook (active sheet, selections, scroll positions). - - This allows restoration of the template's visual state after data processing, - ensuring recipients see the workbook exactly as designed in the template. - - Args: - wb_xw: xlwings Book object - workbook_context: String identifier for logging (workbook_id and filename) - - Returns: - dict: State dictionary with 'active_sheet' and 'sheets' state per sheet - """ - ctx = f"[{workbook_context}]" if workbook_context else "" - logging.info(f"{ctx} [CAPTURE_STATE] Starting workbook state capture") - logging.info(f"{ctx} [CAPTURE_STATE] Total sheets: {len(wb_xw.sheets)}") - - state = { - 'active_sheet': None, - 'sheets': {} - } - - try: - # Capture active sheet name - state['active_sheet'] = wb_xw.api.ActiveSheet.Name - logging.info(f"{ctx} [CAPTURE_STATE] Active sheet captured: '{state['active_sheet']}'") - except Exception as e: - logging.warning(f"{ctx} [CAPTURE_STATE] Could not capture active sheet: {type(e).__name__}: {str(e)}") - - # Capture state for each sheet - for idx, sheet in enumerate(wb_xw.sheets, 1): - logging.info(f"{ctx} [CAPTURE_STATE] Processing sheet {idx}/{len(wb_xw.sheets)}: '{sheet.name}'") - try: - # Activate sheet to get its state - sheet.activate() - logging.info(f"{ctx} [CAPTURE_STATE] Sheet '{sheet.name}' activated successfully") - sheet_api = sheet.api - - sheet_state = { - 'selection': None, - 'scroll_row': 1, - 'scroll_col': 1 - } - - # Capture selection address - try: - selection_address = sheet_api.Application.Selection.Address - sheet_state['selection'] = selection_address - logging.info(f"{ctx} [CAPTURE_STATE] Sheet '{sheet.name}' selection captured: {selection_address}") - except Exception as e: - sheet_state['selection'] = "A1" # Default - logging.warning(f"{ctx} [CAPTURE_STATE] Could not capture selection for sheet '{sheet.name}': {type(e).__name__}, defaulting to A1") - - # Capture scroll position - try: - scroll_row = sheet_api.Application.ActiveWindow.ScrollRow - scroll_col = sheet_api.Application.ActiveWindow.ScrollColumn - sheet_state['scroll_row'] = scroll_row - sheet_state['scroll_col'] = scroll_col - logging.info(f"{ctx} [CAPTURE_STATE] Sheet '{sheet.name}' scroll position captured: Row={scroll_row}, Col={scroll_col}") - except Exception as e: - logging.warning(f"{ctx} [CAPTURE_STATE] Could not capture scroll position for sheet '{sheet.name}': {type(e).__name__}, keeping defaults") - - state['sheets'][sheet.name] = sheet_state - logging.info(f"{ctx} [CAPTURE_STATE] Sheet '{sheet.name}' state complete: {sheet_state}") - - except Exception as e: - logging.error(f"{ctx} [CAPTURE_STATE] ERROR capturing state for sheet '{sheet.name}': {type(e).__name__}: {str(e)}") - - logging.info(f"{ctx} [CAPTURE_STATE] Workbook state capture complete. Captured {len(state['sheets'])} sheet(s)") - return state - - -def _restore_workbook_state(wb_xw, state, workbook_context=""): - """ - Restore the visual state of the workbook (active sheet, selections, scroll positions). - - Args: - wb_xw: xlwings Book object - state: State dictionary from _capture_workbook_state() - workbook_context: String identifier for logging (workbook_id and filename) - """ - if not state: - logging.warning("[RESTORE_STATE] Empty state provided, skipping restoration") - return - - from time import sleep - - ctx = f"[{workbook_context}]" if workbook_context else "" - logging.info(f"{ctx} [RESTORE_STATE] Starting workbook state restoration") - logging.info(f"{ctx} [RESTORE_STATE] Restoring {len(state.get('sheets', {}))} sheet(s)") - - # NOTE: Screen updating is already disabled at the global level (in export_to_excel) - # for the entire workbook processing cycle (from open to save). - # We do NOT re-disable it here to avoid state conflicts. - # The global setting ensures all operations (capture, process, restore, save) run efficiently. - - # CRITICAL: Excel 2013 COM layer lock recovery - # After bulk paste operations, Excel's COM layer can enter a "locked" state where Range.Select() - # fails persistently. This appears to be a fundamental limitation/bug in Excel 2013. - # To work around this, we need to: - # 1. Give Excel time to recover with a large delay - # 2. Then make a "dummy" Range.Select() to wake up the COM layer - # 3. Then proceed with real restorations - logging.info(f"{ctx} [RESTORE_STATE] Waiting for Excel COM layer to stabilize after bulk operations (2 seconds)...") - sleep(2.0) # Large delay to allow COM layer to recover - - # Track original visibility state (used for temporary visibility during retries) - original_app_visible = None - try: - if wb_xw.app: - original_app_visible = wb_xw.app.visible - - if not original_app_visible: - # Make Excel visible during restoration so user sees what's happening - # (important for selection restore retries which may take 2+ seconds) - wb_xw.app.visible = True - logging.info(f"{ctx} [RESTORE_STATE] Excel app temporarily made visible for restoration operations") - except Exception as e: - logging.warning(f"{ctx} [RESTORE_STATE] Could not manage Excel visibility during restoration: {type(e).__name__}: {str(e)}") - - # Wake up the COM layer with a dummy selection attempt on the first sheet - # This "primes" the COM layer so subsequent Range.Select() calls work reliably - try: - if len(wb_xw.sheets) > 0: - first_sheet = wb_xw.sheets[0] - first_sheet.activate() - logging.info(f"{ctx} [RESTORE_STATE] Priming COM layer by activating first sheet...") - first_sheet.api.Range("$A$1").Select() - logging.info(f"{ctx} [RESTORE_STATE] COM layer priming successful") - except Exception as e: - # This is not critical - if it fails, retries will handle it - logging.info(f"{ctx} [RESTORE_STATE] COM layer priming attempt completed (may have failed, retries will handle it)") - - # Restore state for each sheet - for idx, (sheet_name, sheet_state) in enumerate(state.get('sheets', {}).items(), 1): - logging.info(f"{ctx} [RESTORE_STATE] Processing sheet {idx}: '{sheet_name}'") - try: - sheet = wb_xw.sheets[sheet_name] - sheet.activate() - logging.info(f"{ctx} [RESTORE_STATE] Sheet '{sheet_name}' activated successfully") - - # Small delay after activation to ensure Excel has completed the sheet switch - sleep(0.3) - - sheet_api = sheet.api - - # Restore selection with retry mechanism for transient Excel COM failures - if sheet_state.get('selection'): - selection = sheet_state['selection'] - selection_restored = False - - # Try to restore original selection with retry - for attempt in range(1, EXCEL_COM_MAX_RETRIES + 1): - try: - logging.info(f"{ctx} [RESTORE_STATE] Selection restore attempt {attempt}/{EXCEL_COM_MAX_RETRIES} for '{selection}' on sheet '{sheet_name}'") - sheet_api.Range(selection).Select() - logging.info(f"{ctx} [RESTORE_STATE] Sheet '{sheet_name}' selection restored to: {selection}") - selection_restored = True - break # Success - except Exception as e: - error_msg = f"Selection restore failed on attempt {attempt}: {type(e).__name__}: {str(e)}" - - if attempt < EXCEL_COM_MAX_RETRIES: - # Intermediate retry - log as warning and sleep before retry - logging.warning(f"{ctx} [RESTORE_STATE] {error_msg} - Retrying in {EXCEL_COM_RETRY_DELAY}s...") - sleep(EXCEL_COM_RETRY_DELAY) - else: - # Final attempt failed - log as error, will default to A1 - logging.error(f"{ctx} [RESTORE_STATE] {error_msg} - All {EXCEL_COM_MAX_RETRIES} retry attempts exhausted") - - # If selection restore failed after all retries, default to A1 - if not selection_restored: - logging.warning(f"{ctx} [RESTORE_STATE] Could not restore selection '{selection}' for sheet '{sheet_name}' after {EXCEL_COM_MAX_RETRIES} attempts, defaulting to A1") - - # Try to set default A1 selection (using absolute reference: $A$1) - for attempt in range(1, EXCEL_COM_MAX_RETRIES + 1): - try: - logging.info(f"{ctx} [RESTORE_STATE] A1 default attempt {attempt}/{EXCEL_COM_MAX_RETRIES} for sheet '{sheet_name}'") - sheet_api.Range("$A$1").Select() - logging.info(f"{ctx} [RESTORE_STATE] Sheet '{sheet_name}' selection defaulted to A1") - break # Success - except Exception as e2: - error_msg = f"A1 default failed on attempt {attempt}: {type(e2).__name__}: {str(e2)}" - - if attempt < EXCEL_COM_MAX_RETRIES: - logging.warning(f"{ctx} [RESTORE_STATE] {error_msg} - Retrying in {EXCEL_COM_RETRY_DELAY}s...") - sleep(EXCEL_COM_RETRY_DELAY) - else: - logging.error(f"{ctx} [RESTORE_STATE] {error_msg} - All {EXCEL_COM_MAX_RETRIES} retry attempts exhausted") - - # Restore scroll position - try: - scroll_row = sheet_state.get('scroll_row', 1) - scroll_col = sheet_state.get('scroll_col', 1) - sheet_api.Application.ActiveWindow.ScrollRow = scroll_row - sheet_api.Application.ActiveWindow.ScrollColumn = scroll_col - logging.info(f"{ctx} [RESTORE_STATE] Sheet '{sheet_name}' scroll position restored: Row={scroll_row}, Col={scroll_col}") - except Exception as e: - logging.warning(f"{ctx} [RESTORE_STATE] Could not restore scroll position for sheet '{sheet_name}': {type(e).__name__}") - - except Exception as e: - logging.error(f"{ctx} [RESTORE_STATE] ERROR restoring state for sheet '{sheet_name}': {type(e).__name__}: {str(e)}") - - # Restore active sheet - if state.get('active_sheet'): - try: - from time import sleep - - active_sheet_name = state['active_sheet'] - wb_xw.sheets[active_sheet_name].activate() - - # Wait for sheet activation to complete on Excel 2013's COM layer - sleep(0.3) - - logging.info(f"{ctx} [RESTORE_STATE] Active sheet restored to: '{active_sheet_name}'") - except Exception as e: - logging.error(f"{ctx} [RESTORE_STATE] Could not restore active sheet '{state.get('active_sheet')}': {type(e).__name__}: {str(e)}") - - # Force sheet tabs to scroll to show the first sheet - # This ensures the tab bar starts from the first sheet, regardless of which sheet is active - # NOTE: ScrollWorkbookTabs only works when Excel is visible - try: - if len(wb_xw.sheets) > 0 and wb_xw.app: - logging.info(f"{ctx} [RESTORE_STATE] Attempting to scroll sheet tabs to first sheet") - - try: - # ScrollWorkbookTabs with negative number scrolls tabs LEFT (toward first sheet) - # Use large negative number (-100) to guarantee we reach the beginning - # Excel visibility is already managed at the beginning of this function - wb_xw.api.Application.ActiveWindow.ScrollWorkbookTabs(-100) - logging.info(f"{ctx} [RESTORE_STATE] Sheet tabs scrolled to beginning") - except Exception as e: - logging.warning(f"{ctx} [RESTORE_STATE] Could not scroll sheet tabs to beginning: {type(e).__name__}: {str(e)}") - except Exception as e: - logging.error(f"{ctx} [RESTORE_STATE] ERROR during sheet tabs scroll operation: {type(e).__name__}: {str(e)}") - - # Restore original visibility state (if we temporarily made it visible) - # NOTE: Screen updating restoration is handled at the global level (in export_to_excel) - # after the workbook is saved and closed - try: - if original_app_visible is not None and wb_xw.app: - if not original_app_visible and wb_xw.app.visible: - # Restore to hidden state if it was originally hidden - wb_xw.app.visible = False - logging.info(f"{ctx} [RESTORE_STATE] Excel app visibility restored to original state: False") - except Exception as e: - logging.warning(f"{ctx} [RESTORE_STATE] Could not restore Excel app visibility: {type(e).__name__}: {str(e)}") - - logging.info(f"{ctx} [RESTORE_STATE] Workbook state restoration complete") - - -def _handle_output_exists(output_path, action): - """ - Handle existing output file (Overwrite/Increment/Backup). - - Args: - output_path: Full path to output file - action: "Overwrite", "Increment", or "Backup" - - Returns: - Actual path to use (may be different if Increment/Backup) - """ - if not os.path.exists(output_path): - logging.info(f"Output file doesn't exist yet: {output_path}") - return output_path - - logging.info(f"Output file exists, applying '{action}' rule: {output_path}") - - if action == OUTPUT_ACTION_OVERWRITE: - logging.info(f"Overwriting existing file: {output_path}") - return output_path - - elif action == OUTPUT_ACTION_INCREMENT: - base, ext = os.path.splitext(output_path) - counter = 1 - while os.path.exists(f"{base}_{counter}{ext}"): - counter += 1 - new_path = f"{base}_{counter}{ext}" - logging.info(f"Using incremented filename: {new_path}") - return new_path - - elif action == OUTPUT_ACTION_BACKUP: - base, ext = os.path.splitext(output_path) - counter = 1 - backup_path = f"{base}_backup_{counter}{ext}" - while os.path.exists(backup_path): - counter += 1 - backup_path = f"{base}_backup_{counter}{ext}" - - try: - logging.info(f"Backing up existing file to: {backup_path}") - shutil.copy2(output_path, backup_path) - logging.info(f"Backup successful: {output_path} -> {backup_path}") - except Exception as e: - logging.error(f"Backup failed: {e}") - raise - - # Return original path - the existing file will be overwritten by SaveAs - return output_path - - return output_path - - -def _get_column_mapping(mapping_config, mapping_column_name, source_type): - """ - Extract column mapping from Inclusions_Mapping or Organizations_Mapping. - - The mapping column contains user-friendly 1-based indices (1, 2, 3, ...) - indicating which column in the Excel table each field should be placed. - These are converted to 0-based indices for internal use. - - Args: - mapping_config: List of mapping config rows (dicts with field_name, etc.) - mapping_column_name: Name of the mapping column to extract (e.g., "MainReport_PatientsList") - source_type: "Inclusions" or "Organizations" - - Returns: - Dictionary: {excel_column_index: source_field_name} - Example: {0: "Patient_Identification.Patient_Id", 1: "Inclusion.Status", ...} - Indices are 0-based (converted from 1-based user input) - or None if mapping_column not found - """ - if not mapping_config: - return None - - column_mapping = {} - - for row in mapping_config: - # Get the field name (source field in the JSON) - field_name = row.get("field_name") - if not field_name: - continue - - # Get the mapping value from the specified column - mapping_value = row.get(mapping_column_name) - if mapping_value is None or mapping_value == "": - continue # Skip empty mappings - - # Convert mapping_value to integer (1-based user-friendly index) - try: - user_col_index = int(mapping_value) - except (ValueError, TypeError): - logging.warning(f"Invalid column index '{mapping_value}' for field '{field_name}'") - continue - - # Convert 1-based to 0-based index - excel_col_index = user_col_index - 1 - - if excel_col_index < 0: - logging.warning(f"Column index '{user_col_index}' for field '{field_name}' must be >= 1") - continue - - # Store: excel_column_index -> field_name - # Field name needs to be qualified with group for Inclusions - # (extracted from the row's field_group if available) - if source_type == "Inclusions": - field_group = row.get("field_group", "") - if field_group: - full_field_name = f"{field_group}.{field_name}" - else: - full_field_name = field_name - else: - # For Organizations, field_name might already be qualified or standalone - full_field_name = field_name - - column_mapping[excel_col_index] = full_field_name - - return column_mapping if column_mapping else None - - -def _parse_range_dimensions(start_row, start_col, end_row, end_col, header_row_count=0): - """ - Shared utility: Calculate dimensions from cell coordinates. - - Args: - start_row, start_col: Starting cell (1-based, after headers) - end_row, end_col: Ending cell (1-based) - header_row_count: Number of header rows (0 if none) - - Returns: - Tuple of (width, total_height, data_height) - """ - width = end_col - start_col + 1 - total_height = end_row - start_row + 1 - data_height = total_height - header_row_count - return width, total_height, data_height - - -def _get_named_range_dimensions(workbook, range_name): - """ - Get dimensions of named range or table in workbook. - - Args: - workbook: openpyxl Workbook object - range_name: Name of the named range or table - - Returns: - Tuple of (sheet_name, start_cell, height, width) or None if not found - """ - # First check for defined named ranges (in openpyxl 3.x) - if range_name in workbook.defined_names: - defined_name = workbook.defined_names[range_name] - # Get the range reference from attr_text (e.g., "Sheet!$A$1:$B$10") - range_ref = defined_name.attr_text - - # Parse: "SheetName!$A$1:$B$10" - if '!' in range_ref: - sheet_name, cell_range = range_ref.split('!') - # Remove quotes if present - sheet_name = sheet_name.strip("'\"") - # Remove $ signs for parsing - cell_range = cell_range.replace('$', '') - - if sheet_name in workbook.sheetnames: - sheet = workbook[sheet_name] - - # Parse cell range (e.g., "A1:B10" or single "A1") - if ':' in cell_range: - start_cell_str, end_cell_str = cell_range.split(':') - start_cell = sheet[start_cell_str] - end_cell = sheet[end_cell_str] - width = end_cell.column - start_cell.column + 1 - height = end_cell.row - start_cell.row + 1 - else: - start_cell = sheet[cell_range] - width = 1 - height = 1 - - return sheet_name, start_cell, height, width - - # Check if it's a Table (Excel table object, not just a named range) - for sheet_name in workbook.sheetnames: - sheet = workbook[sheet_name] - if hasattr(sheet, 'tables') and range_name in sheet.tables: - table = sheet.tables[range_name] - # Table has a 'ref' property with the range (e.g., "A4:F5") - # Excel tables can have header rows (default 1, but can be 0) - table_ref = table.ref - header_row_count = getattr(table, 'headerRowCount', 1) or 0 # 0 if None or False - - # Parse cell range (e.g., "A4:F5") - if ':' in table_ref: - start_cell_str, end_cell_str = table_ref.split(':') - start_cell_temp = sheet[start_cell_str] - end_cell = sheet[end_cell_str] - width = end_cell.column - start_cell_temp.column + 1 - total_height = end_cell.row - start_cell_temp.row + 1 - - # Skip header rows: point to first DATA row - if header_row_count > 0: - data_start_row = start_cell_temp.row + header_row_count - start_cell = sheet.cell(row=data_start_row, column=start_cell_temp.column) - else: - start_cell = start_cell_temp - - # Calculate data row count (total - headers) - height = total_height - header_row_count - else: - start_cell = sheet[table_ref] - width = 1 - height = 1 - - return sheet_name, start_cell, height, width - - return None - -# OBSOLETE: _update_named_range_height() removed -# This function was only called by the old openpyxl-based _process_sheet() implementation -# xlwings uses table.Resize() via COM API instead, which is more reliable -# See PHASE 2 migration notes for details - - -# OBSOLETE: _recalculate_workbook() removed - xlwings handles formula recalculation automatically -# When using xlwings with wb.save(), Excel automatically recalculates all formulas - -# OBSOLETE: _process_sheet() removed - openpyxl implementation migrated to xlwings -# All sheet processing is now handled by _process_sheet_xlwings() using xlwings library -# This eliminates code duplication and provides better preservation of workbook structure - - -def _get_table_dimensions_xlwings(workbook_xw, range_name): - """ - Get dimensions of an Excel table OR named range using xlwings COM API. - - First searches for ListObjects (structured tables), then falls back to - simple named ranges if no table is found. - - Args: - workbook_xw: xlwings Book object (already open) - range_name: Name of the Excel table (ListObject) or named range - - Returns: - Tuple (sheet_name, start_cell, height, width, header_row_count, target_type) or None if not found - - start_cell: Points to FIRST DATA ROW (after headers for tables, first row for named ranges) - - height: Number of DATA ROWS (excluding headers for tables) - - header_row_count: Number of header rows (0 for named ranges, 0 or 1 for tables) - - target_type: TARGET_TYPE_TABLE or TARGET_TYPE_NAMED_RANGE - - Note: - - For tables with headers: start_cell points to first data row (after header) - - For tables without headers: start_cell points to first row of table - - For named ranges: start_cell points to first row (no headers assumed) - """ - # Helper class to mimic openpyxl Cell behavior - class CellRef: - def __init__(self, row, column): - self.row = row - self.column = column - @property - def coordinate(self): - col_letter = get_column_letter(self.column) - return f"{col_letter}{self.row}" - - # === PRIORITY 1: Check if it's a table (ListObject) === - # Excel tables are more reliable than plain named ranges with xlwings - for sheet in workbook_xw.sheets: - sheet_api = sheet.api - - # Try to get the table count - if this fails, the sheet has no ListObjects property - try: - table_count = sheet_api.ListObjects.Count - except: - # Sheet doesn't support ListObjects or has none - continue - - # If no tables in this sheet, skip - if table_count == 0: - continue - - # Iterate through tables by index - for i in range(1, table_count + 1): # COM indexing starts at 1 - try: - xl_table = sheet_api.ListObjects.Item(i) - table_name = xl_table.Name - if table_name == range_name: - # Found a table - get its range - xl_range = xl_table.Range - sheet_name = sheet.name - total_rows = xl_range.Rows.Count - total_cols = xl_range.Columns.Count - start_row = xl_range.Row - start_col = xl_range.Column - - # Get header row count from the table - # In COM API, ListObject has ShowHeaders property (boolean) and HeaderRowRange - # ShowHeaders: True if table has header row, False if not - try: - has_headers = xl_table.ShowHeaders - header_row_count = 1 if has_headers else 0 - except: - # If ShowHeaders not accessible, try HeaderRowRange - try: - header_range = xl_table.HeaderRowRange - header_row_count = 1 if header_range is not None else 0 - except: - # Fallback: assume headers exist (most common case) - header_row_count = 1 - - # Data height = total height - header rows - data_height = total_rows - header_row_count - - # start_cell points to the FIRST DATA ROW (after headers) - # If table has headers: skip them. If no headers: start at table start - if header_row_count > 0: - data_start_row = start_row + header_row_count - else: - data_start_row = start_row - start_cell = CellRef(data_start_row, start_col) - - logging.info(f"[TABLE FOUND] Located table '{range_name}' at {sheet_name}!{start_cell.coordinate} " - f"(data rows: {data_height}, headers: {header_row_count}, total width: {total_cols})") - return sheet_name, start_cell, data_height, total_cols, header_row_count, TARGET_TYPE_TABLE - except Exception as e: - # Error accessing this specific table, skip it - logging.warning(f"Error accessing table {i} in '{sheet.name}': {type(e).__name__}") - - # === PRIORITY 2: Check if it's a named range === - # Named ranges don't have headers - data starts at first row - try: - if range_name in workbook_xw.names: - named_range = workbook_xw.names[range_name] - target_range = named_range.refers_to_range - - sheet_name = target_range.sheet.name - start_row = target_range.row - start_col = target_range.column - total_rows = target_range.rows.count - total_cols = target_range.columns.count - - # Named ranges have no headers - all rows are data rows - header_row_count = 0 - data_height = total_rows - - start_cell = CellRef(start_row, start_col) - - logging.info(f"[NAMED RANGE FOUND] Located named range '{range_name}' at {sheet_name}!{start_cell.coordinate} " - f"(data rows: {data_height}, no headers, total width: {total_cols})") - return sheet_name, start_cell, data_height, total_cols, header_row_count, TARGET_TYPE_NAMED_RANGE - except Exception as e: - logging.warning(f"Error accessing named range '{range_name}': {type(e).__name__}: {str(e)}") - - # Range/table not found - logging.warning(f"Named range or table '{range_name}' not found in workbook") - return None - - -# ============================================================================ -# HELPER FUNCTIONS FOR SHEET PROCESSING (extracted from _process_sheet_xlwings) -# ============================================================================ - -def _fill_variable_in_sheet(workbook_xw, target_name, source_template, template_vars, workbook_context=""): - """ - Fill a single variable cell with evaluated template value. - - Args: - workbook_xw: xlwings Book object - target_name: Name of the target named range (single cell) - source_template: Template string with {variables} - template_vars: Dictionary of variable values - workbook_context: Context string for logging - - Returns: - Boolean True if successful - """ - try: - # Evaluate template string - cell_value = source_template.format(**template_vars) - except KeyError as e: - logging.warning(f"Unknown variable in template: {e}") - return False - - # Write to named cell using xlwings - try: - named_range = workbook_xw.names[target_name] - target_range = named_range.refers_to_range - target_range.value = cell_value - logging.info(f"Set variable '{target_name}' to '{cell_value}'") - return True - except KeyError: - logging.warning(f"Named range '{target_name}' not found in {workbook_context}") - return False - except Exception as e: - logging.warning(f"Error setting variable '{target_name}' in {workbook_context}: {e}") - return False - - -def _prepare_table_data(source_type, source, sheet_config, inclusions_data, organizations_data, - inclusions_mapping_config, organizations_mapping_config, target_name): - """ - Prepare table data: select source, apply filter/sort, get column mapping. - - Args: - source_type: Type of source (Inclusions or Organizations) - source: Source identifier (mapping name) - sheet_config: Sheet configuration dictionary - inclusions_data: Inclusions data list - organizations_data: Organizations data list - inclusions_mapping_config: Inclusions mapping config - organizations_mapping_config: Organizations mapping config - target_name: Target range name (for logging) - - Returns: - Tuple of (sorted_data, column_mapping) or (None, None) if error - """ - # Select source data and mapping config - if source_type == SOURCE_TYPE_INCLUSIONS: - source_data = inclusions_data - mapping_config = inclusions_mapping_config - else: - source_data = organizations_data - mapping_config = organizations_mapping_config - - # Apply filter and sort - filter_condition = sheet_config.get("filter_condition") - sort_keys = sheet_config.get("sort_keys") - - filtered_data = [item for item in source_data if _apply_filter(item, filter_condition)] - sorted_data = _apply_sort(filtered_data, sort_keys) - - # Get column mapping - column_mapping = _get_column_mapping(mapping_config, source, source_type) - if not column_mapping: - logging.warning(f"Column mapping '{source}' not found or empty for {target_name}") - return None, None - - return sorted_data, column_mapping - - -def _resize_table_range(workbook_xw, sheet_xw, target_name, start_cell, max_col, start_row, num_data_rows, header_row_count=0, target_type=TARGET_TYPE_TABLE): - """ - Resize Excel table (ListObject) or named range to match data dimensions. - - For Tables (ListObjects): Uses ListObject.Resize() COM API - For Named Ranges: Redefines the named range via Name.RefersTo property - - Args: - workbook_xw: xlwings Book object (needed for named range resize) - sheet_xw: xlwings Sheet object - target_name: Name of the table/named range - start_cell: Starting cell (CellRef) - points to FIRST DATA ROW (after headers for tables) - max_col: Maximum column (1-based) - start_row: Starting row (1-based, first data row) - num_data_rows: Number of data rows - header_row_count: Number of header rows in the table (0 for named ranges) - target_type: TARGET_TYPE_TABLE or TARGET_TYPE_NAMED_RANGE - - Returns: - None (logging handles errors) - """ - if num_data_rows <= 1: - return - - try: - # Calculate the last data row - last_data_row = start_row + num_data_rows - 1 - - if target_type == TARGET_TYPE_TABLE: - # === TABLE (ListObject) RESIZE === - excel_sheet = sheet_xw.api - - # Find the ListObject (Table) by name - for list_obj in excel_sheet.ListObjects: - if list_obj.Name == target_name: - # If header_row_count not provided (legacy fallback), get it from the table - if header_row_count == 0: - try: - has_headers = list_obj.ShowHeaders - header_row_count = 1 if has_headers else 0 - except: - header_row_count = 1 - - # For resize, include header rows if they exist - if header_row_count > 0: - first_row = start_row - header_row_count - else: - first_row = start_row - - resize_range_str = f"{get_column_letter(start_cell.column)}{first_row}:{get_column_letter(max_col)}{last_data_row}" - - # Perform resize via ListObject.Resize() - new_range = excel_sheet.Range(resize_range_str) - list_obj.Resize(new_range) - logging.info(f"Resized table '{target_name}' to {resize_range_str} (header_rows={header_row_count})") - break - - elif target_type == TARGET_TYPE_NAMED_RANGE: - # === NAMED RANGE RESIZE === - # Redefine the named range to cover all data rows - # Named ranges have no headers, so start_row is the first row - first_col_letter = get_column_letter(start_cell.column) - last_col_letter = get_column_letter(max_col) - - # Build the range address in A1 style - range_address = f"${first_col_letter}${start_row}:${last_col_letter}${last_data_row}" - - # Get the actual Range object from the sheet and assign it to the Name - # This avoids R1C1/A1 format issues by using the Range object directly - new_range = sheet_xw.range(range_address) - workbook_xw.api.Names(target_name).RefersTo = new_range.api - logging.info(f"Resized named range '{target_name}' to {sheet_xw.name}!{range_address}") - - except Exception as e: - logging.warning(f"Resize skipped for {target_name} ({target_type}): {e}") - - -def _duplicate_template_row(sheet_xw, start_cell, max_col, start_row, num_data_rows, target_name, workbook_context=""): - """ - Duplicate template row to all data rows via copy-paste. - - Args: - sheet_xw: xlwings Sheet object - start_cell: Starting cell (CellRef) - max_col: Maximum column (1-based) - start_row: Starting row (1-based) - num_data_rows: Number of data rows - target_name: Target range name (for logging) - workbook_context: Context string for logging - - Returns: - None (logging handles errors) - """ - if num_data_rows <= 1: - return - - try: - # Replicate template row to all data rows in a single operation - template_range_str = f"{get_column_letter(start_cell.column)}{start_row}:{get_column_letter(max_col)}{start_row}" - last_data_row = start_row + num_data_rows - 1 - full_target_range_str = f"{get_column_letter(start_cell.column)}{start_row}:{get_column_letter(max_col)}{last_data_row}" - - # Copy template row - sheet_xw.range(template_range_str).copy() - # Paste to entire range - Excel automatically replicates the template row - sheet_xw.range(full_target_range_str).paste() - - # CRITICAL: Deselect after paste to avoid COM layer lock - # After bulk paste on large ranges (85k+ cells), Excel's COM layer becomes saturated - # and leaves a massive selection active. This prevents subsequent Range.Select() calls. - # Solution: Reset Excel's selection state by switching sheets and back, then select A1. - try: - from time import sleep - logging.info(f"Deselecting range after bulk paste for {target_name}...") - - # Switch to another sheet to force Excel to reset selection state - other_sheets = [s for s in sheet_xw.book.sheets if s.name != sheet_xw.name] - if other_sheets: - other_sheets[0].activate() - sleep(0.1) - - # Reactivate our sheet - Excel resets selection management when returning - sheet_xw.activate() - - # Select A1 - COM should manage this easily now - sheet_xw.api.Range("$A$1").Select() - logging.info(f"Successfully deselected after bulk paste for {target_name} (sheet reactivation)") - - except Exception as e: - # Deselection is non-critical, log and continue if it fails - logging.warning(f"Deselection after paste failed for {target_name}: {type(e).__name__}: {str(e)}") - - except Exception as e: - logging.warning(f"Template duplication failed for {target_name} in {workbook_context}: {e}") - - -def _fill_table_with_data(sheet_xw, start_cell, start_row, start_col, sorted_data, column_mapping, - value_replacement, target_name, sheet_name): - """ - Fill table with data: group contiguous columns and transfer via bulk 2D arrays. - - Args: - sheet_xw: xlwings Sheet object - start_cell: Starting cell (CellRef) - start_row: Starting row (1-based) - start_col: Starting column (1-based) - sorted_data: Sorted list of data items - column_mapping: Dict mapping Excel column indices to source field paths - value_replacement: Value replacement configuration (or None) - target_name: Target range name (for logging) - sheet_name: Sheet name (for logging) - - Returns: - None (logging handles errors and success) - """ - try: - # === Prepare column mapping and group contiguous columns === - col_order = sorted(column_mapping.keys()) - - # Group contiguous columns for optimal bulk update - contiguous_groups = [] - if col_order: - current_group = [col_order[0]] - for i in range(1, len(col_order)): - if col_order[i] == col_order[i-1] + 1: - current_group.append(col_order[i]) - else: - contiguous_groups.append(current_group) - current_group = [col_order[i]] - contiguous_groups.append(current_group) - - # === Update contiguous column groups (bulk 2D transfer) === - for col_group in contiguous_groups: - # Build 2D array for this group: rows × columns - data_2d = [] - for item in sorted_data: - row_values = [] - for excel_col_index in col_group: - source_field_path = column_mapping[excel_col_index] - # Get value from source item - value = get_nested_value(item, source_field_path.split(".")) - - # Apply value replacement - if value_replacement: - value = _apply_value_replacement(value, value_replacement) - - row_values.append(value) - data_2d.append(row_values) - - # Transfer entire group to Excel in ONE operation - first_col_in_group = start_col + col_group[0] - first_col_letter = get_column_letter(first_col_in_group) - target_range_start = f"{first_col_letter}{start_row}" - - # Write 2D array at once (xlwings automatically maps rows × columns) - sheet_xw.range(target_range_start).value = data_2d - - # Logging - num_data_rows = len(sorted_data) - logging.info(f"Filled table {target_name} with {num_data_rows} rows " - f"at {sheet_name}!{start_cell.coordinate} " - f"(bulk duplication + {len(contiguous_groups)} contiguous group(s))") - except Exception as e: - logging.error(f"Error filling table data for {target_name}: {e}") - logging.error(f"Traceback: {traceback.format_exc()}") - - -def _process_sheet_xlwings(workbook_xw, sheet_config, inclusions_data, organizations_data, - inclusions_mapping_config, organizations_mapping_config, template_vars, - workbook_context=""): - """ - Process a single sheet using xlwings (hybrid approach). - - Delegates to specialized helpers to maintain clarity and testability. - - Args: - workbook_xw: xlwings Book object - sheet_config: Sheet configuration dict - inclusions_data: List of inclusion dictionaries - organizations_data: List of organization dictionaries - inclusions_mapping_config: Inclusions mapping config (for column mapping) - organizations_mapping_config: Organizations mapping config - template_vars: Dictionary of variables for template evaluation - workbook_context: Context string identifying the workbook (for logging) - - Returns: - Boolean True if successful - """ - source_type = sheet_config.get("source_type") - source = sheet_config.get("source") - target_name = sheet_config.get("target_name") - value_replacement = sheet_config.get("value_replacement") - - # === Variable sources: single cell fill === - if source_type == SOURCE_TYPE_VARIABLE: - return _fill_variable_in_sheet(workbook_xw, target_name, source, template_vars, workbook_context) - - # === Table sources: bulk data filling === - if source_type not in [SOURCE_TYPE_INCLUSIONS, SOURCE_TYPE_ORGANIZATIONS]: - return False - - # Prepare data: filter, sort, get column mapping - sorted_data, column_mapping = _prepare_table_data( - source_type, source, sheet_config, inclusions_data, organizations_data, - inclusions_mapping_config, organizations_mapping_config, target_name - ) - if sorted_data is None or column_mapping is None: - return False - - # Get table/named range dimensions from xlwings - try: - table_dims = _get_table_dimensions_xlwings(workbook_xw, target_name) - if not table_dims: - logging.warning(f"Target '{target_name}' not found (neither table nor named range)") - return False - - sheet_name, start_cell, table_height, table_width, header_row_count, target_type = table_dims - sheet_xw = workbook_xw.sheets[sheet_name] - start_row = start_cell.row - start_col = start_cell.column - max_col = start_col + table_width - 1 - num_data_rows = len(sorted_data) - - # === Bulk operations for data filling === - if sorted_data: - # STEP 0: Resize table/named range to match data dimensions - _resize_table_range(workbook_xw, sheet_xw, target_name, start_cell, max_col, start_row, num_data_rows, header_row_count, target_type) - - # STEP 1: Duplicate template row to all data rows - _duplicate_template_row(sheet_xw, start_cell, max_col, start_row, num_data_rows, target_name, workbook_context) - - # STEP 2-3: Fill with data (grouped contiguous columns) - _fill_table_with_data(sheet_xw, start_cell, start_row, start_col, sorted_data, - column_mapping, value_replacement, target_name, sheet_name) - else: - # No data - template row stays empty - logging.info(f"No data for target '{target_name}' ({target_type}), leaving template row empty") - - return True - - except Exception as e: - logging.warning(f"Error processing target '{target_name}': {e}") - logging.error(f"Traceback: {traceback.format_exc()}") - return False - - -# ============================================================================ -# COMPREHENSIVE EXCEL EXPORT ORCHESTRATION (for main script) -# ============================================================================ - -def prepare_excel_export(inclusions_mapping_config, organizations_mapping_config): - """ - Validate Excel export configuration (no data loading). - - This function has a SINGLE responsibility: validate the Excel export CONFIG. - It does NOT load production data (JSONs) - that is the responsibility of - the execution functions (run_normal_mode_export, export_excel_only). - - IMPORTANT: Mapping configs MUST be provided by the caller. The caller is responsible for: - 1. Loading mapping configs from Excel (e.g., via load_inclusions_mapping_config()) - 2. Passing them to this function for config validation - - This follows the dependency injection pattern: the caller provides dependencies, - this function validates config. This ensures: - - Clear responsibility separation: validation ≠ data loading - - Early CONFIG validation (BEFORE data collection in NORMAL MODE) - - Late DATA loading (AFTER collection, only when needed for execution) - - Args: - inclusions_mapping_config: Loaded inclusions mapping (required, non-empty list/dict) - organizations_mapping_config: Loaded organizations mapping (required, non-empty list/dict) - - Returns: - Tuple of (excel_config, has_critical_errors, error_messages) - - excel_config: Tuple of (workbooks_config, sheets_config) or None if errors - - has_critical_errors: Boolean True if validation found critical errors - - error_messages: List of error message strings - - Note: - JSONs are loaded separately by execution functions: - - NORMAL MODE: run_normal_mode_export() loads JSONs AFTER data collection - - --EXCEL-ONLY: export_excel_only() loads JSONs before execution - """ - - error_messages = [] - excel_config = None - has_critical_errors = False - - # === STEP 1: Validate mapping configurations are provided === - # Caller is responsible for loading these configs before calling this function - if not inclusions_mapping_config or (isinstance(inclusions_mapping_config, (list, dict)) and len(inclusions_mapping_config) == 0): - error_msg = "Inclusions mapping configuration must be provided and non-empty" - error_messages.append(error_msg) - logging.error(error_msg) - if console: - console.print(f"[bold red]✗ {error_msg}[/bold red]") - has_critical_errors = True - return excel_config, has_critical_errors, error_messages - - if not organizations_mapping_config or (isinstance(organizations_mapping_config, (list, dict)) and len(organizations_mapping_config) == 0): - error_msg = "Organizations mapping configuration must be provided and non-empty" - error_messages.append(error_msg) - logging.error(error_msg) - if console: - console.print(f"[bold red]✗ {error_msg}[/bold red]") - has_critical_errors = True - return excel_config, has_critical_errors, error_messages - - # === STEP 2: Load Excel config === - logging.info("Loading Excel export configuration...") - - excel_workbooks_config, excel_sheets_config, has_config_error, config_error_messages = load_excel_export_config(console) - if has_config_error: - error_msg = "Critical errors in Excel Export Config" - error_messages.append(error_msg) - error_messages.extend(config_error_messages) - has_critical_errors = True - logging.warning(error_msg) - if console: - console.print(f"[bold red]✗ {error_msg}[/bold red]") - excel_config = (excel_workbooks_config, excel_sheets_config) - return excel_config, has_critical_errors, error_messages - - if not excel_workbooks_config or not excel_sheets_config: - error_msg = "Excel export configuration is empty" - error_messages.append(error_msg) - logging.warning(error_msg) - if console: - console.print(f"[bold red]✗ {error_msg}[/bold red]") - excel_config = (excel_workbooks_config, excel_sheets_config) - return excel_config, has_critical_errors, error_messages - - # Package config into tuple for downstream functions - excel_config = (excel_workbooks_config, excel_sheets_config) - - # === STEP 3: Validate Excel config === - logging.info("Validating Excel export configuration...") - - has_critical_errors, validation_errors = validate_excel_config( - excel_config, - console, - inclusions_mapping_config or [], - organizations_mapping_config or {} - ) - - if validation_errors: - error_messages.extend(validation_errors) - if has_critical_errors and console: - console.print("[bold red]✗ Critical validation errors found[/bold red]") - else: - logging.info("✓ Excel export configuration validated successfully") - - return excel_config, has_critical_errors, error_messages - - -# ============================================================================ -# HIGH-LEVEL ORCHESTRATION FUNCTIONS (for main script integration) -# ============================================================================ - -def export_excel_only(sys_argv, - inclusions_filename=None, organizations_filename=None, - inclusions_mapping_config=None, organizations_mapping_config=None): - """ - Orchestrates EXCEL_ONLY mode - complete end-to-end Excel export workflow. - - This function completely encapsulates the --excel_only mode: - 1. Validates Excel configuration - 2. Loads JSON data files (must exist) - 3. Executes Excel export with error handling - 4. Displays user-friendly messages and confirmations - - IMPORTANT: The caller (main script) is responsible for loading mapping configs - before calling this function. This ensures consistent config instances across - the application and follows the dependency injection pattern. - - This follows the same pattern as run_check_only_mode() from quality_checks module. - - Args: - sys_argv: sys.argv from main script (for potential future CLI arg parsing) - inclusions_filename: Name of inclusions JSON file (e.g., "endobest_inclusions.json") - organizations_filename: Name of organizations JSON file (e.g., "endobest_organizations.json") - inclusions_mapping_config: Loaded inclusions mapping configuration (REQUIRED - caller must load) - organizations_mapping_config: Loaded organizations mapping configuration (REQUIRED - caller must load) - """ - global console - - if not inclusions_filename: - inclusions_filename = INCLUSIONS_FILE_NAME - if not organizations_filename: - organizations_filename = ORGANIZATIONS_FILE_NAME - - print() - console.print("[bold cyan]═══ EXCEL ONLY MODE ═══[/bold cyan]\n") - - # Step 1: Validate Excel configuration (no data loading) - logging.info("EXCEL ONLY MODE: Validating Excel configuration") - excel_config, has_config_critical, error_messages = \ - prepare_excel_export(inclusions_mapping_config, organizations_mapping_config) - - # Step 2: Handle critical configuration errors - if has_config_critical: - print() - console.print("[bold red]⚠ CRITICAL CONFIGURATION ERROR(S) DETECTED[/bold red]") - console.print("[bold red]────────────────────────────────────[/bold red]") - for idx, error_msg in enumerate(error_messages, 1): - console.print(f"[bold red]Error {idx}: {error_msg}[/bold red]") - console.print("[bold red]────────────────────────────────────[/bold red]") - print() - try: - import questionary - answer = questionary.confirm( - "⚠ Continue anyway?", - default=False - ).ask() - if not answer: - console.print("[bold red]Aborted by user[/bold red]") - logging.warning("EXCEL ONLY MODE: Aborted by user due to critical errors") - return - except ImportError: - console.print("[bold yellow]⚠ questionary not available for confirmation[/bold yellow]") - console.print("[bold yellow]Proceeding with export despite critical errors[/bold yellow]") - - # Step 3: Load JSON data files (must exist in --excel-only mode) - logging.info("EXCEL ONLY MODE: Loading data files") - inclusions_data = _load_json_file_internal(inclusions_filename) - organizations_data = _load_json_file_internal(organizations_filename) - - if inclusions_data is None or organizations_data is None: - console.print("[bold red]✗ Error: Could not load data files for Excel export[/bold red]") - logging.error("EXCEL ONLY MODE: Data file loading failed") - return - - # Step 4: Execute Excel export (direct call to export_to_excel, console is global) - print() - console.print("[bold cyan]═══ Excel Export ═══[/bold cyan]\n") - logging.info("EXCEL ONLY MODE: Executing export") - - if excel_config: - try: - logging.info(f"Starting Excel export: {len(inclusions_data)} inclusions, {len(organizations_data)} organizations") - - success, error_count = export_to_excel( - inclusions_data, - organizations_data, - excel_config, - inclusions_mapping_config=inclusions_mapping_config, - organizations_mapping_config=organizations_mapping_config - ) - - if success: - logging.info("EXCEL ONLY MODE: Export completed successfully") - else: - logging.warning(f"EXCEL ONLY MODE: Export completed with {error_count} error(s)") - except Exception as e: - error_msg = f"Excel export failed: {str(e)}" - logging.error(f"EXCEL ONLY MODE: {error_msg}\n{traceback.format_exc()}") - console.print(f"[bold red]✗ {error_msg}[/bold red]\n") - else: - console.print("[bold red]✗ Could not load Excel configuration[/bold red]\n") - logging.error("EXCEL ONLY MODE: Excel config missing") - - -def run_normal_mode_export(excel_enabled, excel_config, - inclusions_mapping_config=None, organizations_mapping_config=None): - """ - Orchestrates Excel export during normal mode execution. - - This function encapsulates the Excel export step that runs after inclusions and organizations - have been collected and written to JSON files. It handles: - - Loading JSONs from filesystem (ensures fresh data consistency) - - Executing Excel export with comprehensive error handling - - Displaying results to user - - This is called from the normal workflow after data collection completes. - - Args: - excel_enabled: Boolean indicating if Excel export is enabled - excel_config: Tuple of (workbooks_config, sheets_config) or None - inclusions_mapping_config: Loaded inclusions mapping configuration (optional) - organizations_mapping_config: Loaded organizations mapping configuration (optional) - - Note: - This function loads JSON files from the filesystem (which were written - during the data collection phase) to ensure consistency. - - Returns: - Tuple of (export_succeeded, error_message) - - export_succeeded: Boolean True if export completed successfully (or skipped) - - error_message: String with error details (empty if success=True or skipped) - """ - global console - - # Only proceed if export is enabled and config is available - if not excel_enabled or not excel_config: - logging.info("Excel export not enabled or config missing, skipping") - return True, "" # FIX BUG #3: Return True when export is intentionally skipped (not an error) - - print() - console.print("[bold cyan]═══ Excel Export ═══[/bold cyan]\n") - logging.info("NORMAL MODE: Starting Excel export") - - try: - # Load JSONs from filesystem to ensure data consistency with what was written - # Use constants imported from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH) - inclusions_from_fs = _load_json_file_internal(INCLUSIONS_FILE_NAME) - organizations_from_fs = _load_json_file_internal(ORGANIZATIONS_FILE_NAME) - - if inclusions_from_fs is None or organizations_from_fs is None: - error_msg = "Could not load data files for Excel export" - logging.error(f"NORMAL MODE: {error_msg}") - console.print(f"[bold red]✗ {error_msg}[/bold red]\n") - return False, error_msg - - # Execute the export (direct call to export_to_excel, console is global) - logging.info(f"Starting Excel export: {len(inclusions_from_fs)} inclusions, {len(organizations_from_fs)} organizations") - - success, error_count = export_to_excel( - inclusions_from_fs, - organizations_from_fs, - excel_config, - inclusions_mapping_config=inclusions_mapping_config, - organizations_mapping_config=organizations_mapping_config - ) - - if success: - logging.info("NORMAL MODE: Excel export completed successfully") - return True, "" - else: - error_msg = f"Excel export completed with {error_count} error(s)" - logging.warning(f"NORMAL MODE: {error_msg}") - return False, error_msg - - except Exception as e: - error_msg = f"Unexpected error during Excel export: {str(e)}" - logging.error(f"NORMAL MODE: {error_msg}\n{traceback.format_exc()}") - console.print(f"[bold red]✗ {error_msg}[/bold red]\n") - return False, error_msg - - -def _load_json_file_internal(filename): - """ - Internal helper to load JSON file. - - Args: - filename: Path to JSON file - - Returns: - Parsed JSON data or None if file doesn't exist or can't be parsed - """ - try: - if not os.path.exists(filename): - logging.warning(f"JSON file not found: {filename}") - return None - - with open(filename, 'r', encoding='utf-8') as f: - data = json.load(f) - logging.info(f"Loaded {filename}: {len(data) if isinstance(data, list) else 'data'}") - return data - - except Exception as e: - logging.error(f"Error loading {filename}: {str(e)}") - return None diff --git a/eb_dashboard_excel_only-exe.bat b/eb_dashboard_excel_only-exe.bat deleted file mode 100644 index e30948a..0000000 --- a/eb_dashboard_excel_only-exe.bat +++ /dev/null @@ -1,3 +0,0 @@ -@echo off -eb_dashboard.exe --excel-only %* - diff --git a/eb_dashboard_excel_only.bat b/eb_dashboard_excel_only.bat deleted file mode 100644 index 5854ac9..0000000 --- a/eb_dashboard_excel_only.bat +++ /dev/null @@ -1,4 +0,0 @@ -@echo off -call C:\PythonProjects\.rcvenv\Scripts\activate.bat -python eb_dashboard.py --excel-only %* - diff --git a/eb_dashboard_quality_checks.py b/eb_dashboard_quality_checks.py deleted file mode 100644 index 95bbf56..0000000 --- a/eb_dashboard_quality_checks.py +++ /dev/null @@ -1,1313 +0,0 @@ -""" -Endobest Dashboard - Quality Checks Module - -This module contains all quality assurance functions: -- JSON file loading and backup utilities -- Coherence checks between organization statistics and detailed inclusion data -- Comprehensive non-regression checks with configurable rules -- Config-driven validation with Warning/Critical thresholds -- Support for special rules (New/Deleted Inclusions, New/Deleted Fields) -- 4-step logic for normal rules (field selection, transition matching, exception application, bloc_scope) -""" - -import json -import logging -import os -import shutil - -import openpyxl -from rich.console import Console -from eb_dashboard_utils import get_nested_value, get_old_filename as _get_old_filename, get_config_path -from eb_dashboard_constants import ( - INCLUSIONS_FILE_NAME, - ORGANIZATIONS_FILE_NAME, - OLD_FILE_SUFFIX, - DASHBOARD_CONFIG_FILE_NAME, - REGRESSION_CHECK_TABLE_NAME -) - - -# ============================================================================ -# MODULE CONFIGURATION -# ============================================================================ - -# Debug mode: Set to True to display detailed changes for each regression check rule -# (Variable globale - mutée au runtime, pas une constante) -debug_mode = False - - -def enable_debug_mode(): - """Enable debug mode to display detailed changes for each regression check rule.""" - global debug_mode - debug_mode = True - if console: - console.print("[dim]DEBUG MODE enabled - detailed changes will be displayed[/dim]") - - -# ============================================================================ -# MODULE DEPENDENCIES (injected from main module) -# ============================================================================ - -# Will be injected by the main module -console = None - -# Regression check config is loaded on-demand via load_regression_check_config() -regression_check_config = [] - -# NOTE: File names and table names are imported from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH): -# - INCLUSIONS_FILE_NAME -# - ORGANIZATIONS_FILE_NAME -# - OLD_FILE_SUFFIX -# - DASHBOARD_CONFIG_FILE_NAME -# - REGRESSION_CHECK_TABLE_NAME - - -def set_dependencies(console_instance): - """ - Inject console instance from main module. - - Args: - console_instance: Rich Console instance for formatted output - - Note: - - File and table names are imported directly from eb_dashboard_constants.py (SINGLE SOURCE OF TRUTH) - - Regression check config is loaded on-demand via load_regression_check_config() - """ - global console - console = console_instance - - -# ============================================================================ -# CONFIGURATION LOADING -# ============================================================================ - -def load_regression_check_config(console_instance=None): - """Loads and validates the regression check configuration from the Excel file. - - Args: - console_instance: Optional Rich Console instance. If not provided, uses global console. - """ - global regression_check_config, console - - # Use provided console or fall back to global - if console_instance: - console = console_instance - - config_path = os.path.join(get_config_path(), DASHBOARD_CONFIG_FILE_NAME) - - try: - workbook = openpyxl.load_workbook(config_path) - except FileNotFoundError: - error_msg = f"Error: Configuration file not found at: {config_path}" - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - if REGRESSION_CHECK_TABLE_NAME not in workbook.sheetnames: - error_msg = f"Error: Sheet '{REGRESSION_CHECK_TABLE_NAME}' not found in the configuration file." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - sheet = workbook[REGRESSION_CHECK_TABLE_NAME] - headers = [cell.value for cell in sheet[1]] - - temp_config = [] - - for row_index, row in enumerate(sheet.iter_rows(min_row=2, values_only=True), start=2): - rule_config = dict(zip(headers, row)) - - # Skip if ignore column contains "ignore" (case insensitive) - ignore_value = rule_config.get("ignore") - if ignore_value and isinstance(ignore_value, str) and "ignore" in ignore_value.lower(): - continue - - # Skip if all columns are None (empty row) - if all(value is None for value in row): - continue - - # Validate bloc_title and line_label - bloc_title = rule_config.get("bloc_title") - line_label = rule_config.get("line_label") - - if not bloc_title or not isinstance(bloc_title, str): - continue # Skip rows without bloc_title (header separators, etc.) - - if not line_label or not isinstance(line_label, str): - error_msg = f"Error in Regression_Check config, row {row_index}: 'line_label' is mandatory when 'bloc_title' is specified." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - # Validate thresholds - warning_threshold = rule_config.get("warning_threshold") - critical_threshold = rule_config.get("critical_threshold") - - if warning_threshold is None or not isinstance(warning_threshold, (int, float)) or warning_threshold < 0: - error_msg = f"Error in Regression_Check config, row {row_index}: 'warning_threshold' must be a number >= 0." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - if critical_threshold is None or not isinstance(critical_threshold, (int, float)) or critical_threshold < 0: - error_msg = f"Error in Regression_Check config, row {row_index}: 'critical_threshold' must be a number >= 0." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - # Parse JSON fields - for json_field in ["field_selection", "transitions"]: - value = rule_config.get(json_field) - if value and isinstance(value, str): - try: - rule_config[json_field] = json.loads(value) - except json.JSONDecodeError: - error_msg = f"Error in Regression_Check config, row {row_index}, field '{json_field}': Invalid JSON format." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - elif value is None: - rule_config[json_field] = None - - # Validate field_selection format - line_label = rule_config.get("line_label") - field_selection = rule_config.get("field_selection") - - # Special rules that don't use field_selection - special_rules_no_selection = ["New Fields", "Deleted Fields", "Deleted Inclusions"] - - if line_label not in special_rules_no_selection: - # Standard rules and "New Inclusions" MUST have field_selection - if field_selection is None: - error_msg = f"Error in Regression_Check config, row {row_index}: 'field_selection' is mandatory for rule '{line_label}'." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - if not isinstance(field_selection, list): - console.print(f"[yellow]⚠ Row {row_index}: 'field_selection' must be a JSON array of [action, selector] pairs, skipping rule[/yellow]") - rule_config["_config_error"] = True - else: - # Validate each field_selection step - for step_idx, step in enumerate(field_selection): - if not isinstance(step, list) or len(step) != 2: - console.print(f"[yellow]⚠ Row {row_index}: field_selection[{step_idx}] must be array of 2 elements [action, selector], skipping rule[/yellow]") - rule_config["_config_error"] = True - break - - action, field_selector = step - - if action not in ["include", "exclude"]: - console.print(f"[yellow]⚠ Row {row_index}: field_selection[{step_idx}] action must be 'include' or 'exclude', got '{action}', skipping rule[/yellow]") - rule_config["_config_error"] = True - break - - if not isinstance(field_selector, str) or "." not in field_selector: - console.print(f"[yellow]⚠ Row {row_index}: field_selection[{step_idx}] selector must be string with dot notation (e.g., '*.*', 'group.*', 'group.field'), got '{field_selector}', skipping rule[/yellow]") - rule_config["_config_error"] = True - break - else: - # Special rules should have empty field_selection - if field_selection is not None and field_selection != [] and field_selection != "": - console.print(f"[yellow]⚠ Row {row_index}: Special rule '{line_label}' should have empty field_selection, got {field_selection}[/yellow]") - rule_config["_config_error"] = True - - # Validate bloc_scope - bloc_scope = rule_config.get("bloc_scope") - if bloc_scope is not None and bloc_scope not in ["all", "any"]: - error_msg = f"Error in Regression_Check config, row {row_index}: 'bloc_scope' must be 'all' or 'any'." - logging.critical(error_msg) - console.print(f"[bold red]{error_msg}[/bold red]") - raise Exception(error_msg) - - # Validate transitions format (new pipeline format) - # Format: [["include"/"exclude", "field_selector", "from_pattern", "to_pattern"], ...] - transitions = rule_config.get("transitions") - config_error = False - - if transitions is not None: - if not isinstance(transitions, list): - console.print(f"[yellow]⚠ Row {row_index}: 'transitions' must be a JSON array, skipping this rule[/yellow]") - config_error = True - else: - # Validate each transition step - for step_idx, transition_step in enumerate(transitions): - if not isinstance(transition_step, list) or len(transition_step) != 4: - console.print(f"[yellow]⚠ Row {row_index}: transitions[{step_idx}] must be array of 4 elements [action, field_selector, from, to], skipping[/yellow]") - config_error = True - break - - action, field_selector, from_val, to_val = transition_step - - if action not in ["include", "exclude"]: - console.print(f"[yellow]⚠ Row {row_index}: transitions[{step_idx}] action must be 'include' or 'exclude', got '{action}', skipping[/yellow]") - config_error = True - break - - if not isinstance(field_selector, str) or "." not in field_selector: - console.print(f"[yellow]⚠ Row {row_index}: transitions[{step_idx}] field_selector must be string with dot notation (e.g., '*.*', 'group.*', 'group.field'), got '{field_selector}', skipping[/yellow]") - config_error = True - break - - if config_error: - rule_config["_config_error"] = True - - temp_config.append(rule_config) - - regression_check_config = temp_config - console.print(f"Loaded {len(regression_check_config)} regression check rules.", style="green") - - -def run_check_only_mode(sys_argv): - """ - Orchestrates CHECK_ONLY and CHECK_ONLY_COMPARE modes. - - This function handles the complete workflow for both CHECK_ONLY modes: - - CHECK_ONLY: Full validation (coherence + regression) on existing files - - CHECK_ONLY_COMPARE: Regression-only comparison of two specific files - - Args: - sys_argv: sys.argv from main script (to parse command-line arguments) - """ - global console - - # Initialize console if not already set - if console is None: - console = Console() - - print() - - # Detect CHECK_ONLY_COMPARE mode: --check-only - if len(sys_argv) >= 4: - # CHECK_ONLY_COMPARE mode: Compare two specific files - current_file = sys_argv[2] - old_file = sys_argv[3] - - console.print("[bold cyan]═══ CHECK ONLY COMPARE MODE ═══[/bold cyan]") - console.print(f"Comparing two specific files without coherence check:\n") - console.print(f" Current: [bold]{current_file}[/bold]") - console.print(f" Old: [bold]{old_file}[/bold]\n") - - # Load only regression check configuration - print() - load_regression_check_config(console) - - # Run quality checks with coherence check skipped - print() - has_coherence_critical, has_regression_critical = run_quality_checks( - current_inclusions=current_file, - organizations_list=None, - old_inclusions_filename=old_file, - skip_coherence=True - ) - - # Display summary - if has_regression_critical: - console.print("[bold red]✗ CRITICAL issues detected![/bold red]") - else: - console.print("[bold green]✓ All checks passed successfully![/bold green]") - - else: - # Standard CHECK_ONLY mode: Full validation with coherence + regression - console.print("[bold cyan]═══ CHECK ONLY MODE ═══[/bold cyan]") - console.print("Running quality checks on existing data files without collecting new data.\n") - - # Load regression check configuration (coherence check doesn't need extended fields) - print() - load_regression_check_config(console) - - # Run quality checks (will load all files internally) - print() - old_inclusions_file = _get_old_filename(INCLUSIONS_FILE_NAME, OLD_FILE_SUFFIX) - has_coherence_critical, has_regression_critical = run_quality_checks( - current_inclusions=INCLUSIONS_FILE_NAME, - organizations_list=ORGANIZATIONS_FILE_NAME, - old_inclusions_filename=old_inclusions_file - ) - - # Display summary - if has_coherence_critical or has_regression_critical: - console.print("[bold red]✗ CRITICAL issues detected![/bold red]") - else: - console.print("[bold green]✓ All checks passed successfully![/bold green]") - - -# ============================================================================ -# FILE UTILITIES -# ============================================================================ - -def load_json_file(filename): - """ - Loads a JSON file (inclusions, organizations, or any JSON data). - Returns the parsed JSON data or None if file doesn't exist or error occurred. - - Args: - filename: Path to the JSON file to load. - - Returns: - Parsed JSON data (list, dict, etc.) or None if file not found or error occurred. - """ - if os.path.exists(filename): - try: - with open(filename, 'r', encoding='utf-8') as f: - return json.load(f) - except Exception as e: - logging.warning(f"Could not load JSON file '{filename}': {e}") - console.print(f"[yellow]⚠ Warning: Could not load JSON file '{filename}': {e}[/yellow]") - return None - - -def backup_output_files(): - """ - Silently backups current output files before writing new versions. - This is called AFTER all checks pass to avoid losing history on crash. - """ - def _backup_file_silent(source, destination): - """Internal: Silently backup a file if it exists, overwriting destination.""" - if os.path.exists(source): - try: - shutil.copy2(source, destination) - except Exception as e: - logging.warning(f"Could not backup {source}: {e}") - - _backup_file_silent(INCLUSIONS_FILE_NAME, _get_old_filename(INCLUSIONS_FILE_NAME, OLD_FILE_SUFFIX)) - _backup_file_silent(ORGANIZATIONS_FILE_NAME, _get_old_filename(ORGANIZATIONS_FILE_NAME, OLD_FILE_SUFFIX)) - - -# ============================================================================ -# COHERENCE CHECK -# ============================================================================ - -def coherence_check(output_inclusions, organizations_list): - """ - Checks coherence between organization statistics and actual inclusion details. - Displays results with color-coded status. - Returns True if any critical issue was found, False otherwise. - """ - has_critical = False # Track critical status - - def _get_status_and_style(count, warning_threshold=None, critical_threshold=None): - """Internal: Determine status level and visual style.""" - nonlocal has_critical - if critical_threshold is not None and count > critical_threshold: - has_critical = True - return "CRITICAL", "red", "✗" - elif warning_threshold is not None and count > warning_threshold: - return "WARNING", "yellow", "⚠" - else: - return "OK", "green", "✓" - - def _print_check_line(message, count=None, status_tuple=None, indent=0): - """Internal: Print a formatted check line with emoji and color.""" - indent_str = " " * indent - if status_tuple: - status, color, emoji = status_tuple - if count is not None: - console.print(f"{indent_str}{emoji} [{color}]{message}: {count}[/{color}]") - else: - console.print(f"{indent_str}{emoji} [{color}]{message}[/{color}]") - else: - console.print(f"{indent_str}{message}") - - def _calculate_detail_counters_with_ap(inclusions_list, org_id=None): - """Internal: Calculate actual counters from inclusions detail with AP (prematurely terminated) handling. - - Rules: - - If status ends with ' - AP': increment prematurely_terminated - - Else if starts with 'pré-incluse': increment preincluded - - Else if starts with 'incluse': increment included - - Always increment patients - """ - patients = 0 - preincluded = 0 - included = 0 - prematurely_terminated = 0 - - for inclusion in inclusions_list: - # Filter by organization if specified - if org_id: - inc_org_id = get_nested_value(inclusion, ["Patient_Identification", "Organisation_Id"]) - if inc_org_id != org_id: - continue - - patients += 1 - status = get_nested_value(inclusion, ["Inclusion", "Inclusion_Status"], default="") - - if isinstance(status, str): - # Check if status ends with ' - AP' (prematurely terminated) - if status.endswith(" - AP"): - prematurely_terminated += 1 - # Otherwise apply the normal classification - elif status.lower().startswith("pré-incluse"): - preincluded += 1 - elif status.lower().startswith("incluse"): - included += 1 - - return patients, preincluded, included, prematurely_terminated - - # Main coherence check logic - console.print("\n[bold]═══ Coherence Check ═══[/bold]\n") - - # Calculate total counters - total_stats = { - 'patients': sum(org.get('patients_count', 0) for org in organizations_list), - 'preincluded': sum(org.get('preincluded_count', 0) for org in organizations_list), - 'included': sum(org.get('included_count', 0) for org in organizations_list), - 'prematurely_terminated': sum(org.get('prematurely_terminated_count', 0) for org in organizations_list) - } - - total_detail_tuple = _calculate_detail_counters_with_ap(output_inclusions) - total_detail = { - 'patients': total_detail_tuple[0], - 'preincluded': total_detail_tuple[1], - 'included': total_detail_tuple[2], - 'prematurely_terminated': total_detail_tuple[3] - } - - # Check total (4 counters must match) - total_ok = (total_stats['patients'] == total_detail['patients'] and - total_stats['preincluded'] == total_detail['preincluded'] and - total_stats['included'] == total_detail['included'] and - total_stats['prematurely_terminated'] == total_detail['prematurely_terminated']) - - total_status = _get_status_and_style(0 if total_ok else 1, 0, 0) - - message = (f"TOTAL - Stats({total_stats['patients']}/{total_stats['preincluded']}/{total_stats['included']}/{total_stats['prematurely_terminated']}) " - f"vs Detail({total_detail['patients']}/{total_detail['preincluded']}/{total_detail['included']}/{total_detail['prematurely_terminated']})") - _print_check_line(message, status_tuple=total_status, indent=0) - - # Check each organization (only display if not OK) - for org in organizations_list: - org_id = org.get('id') - org_name = org.get('name', 'Unknown') - - org_stats = { - 'patients': org.get('patients_count', 0), - 'preincluded': org.get('preincluded_count', 0), - 'included': org.get('included_count', 0), - 'prematurely_terminated': org.get('prematurely_terminated_count', 0) - } - - org_detail_tuple = _calculate_detail_counters_with_ap(output_inclusions, org_id) - org_detail = { - 'patients': org_detail_tuple[0], - 'preincluded': org_detail_tuple[1], - 'included': org_detail_tuple[2], - 'prematurely_terminated': org_detail_tuple[3] - } - - org_ok = (org_stats['patients'] == org_detail['patients'] and - org_stats['preincluded'] == org_detail['preincluded'] and - org_stats['included'] == org_detail['included'] and - org_stats['prematurely_terminated'] == org_detail['prematurely_terminated']) - - if not org_ok: - org_status = _get_status_and_style(1, 0, 0) - message = (f"{org_name} - Stats({org_stats['patients']}/{org_stats['preincluded']}/{org_stats['included']}/{org_stats['prematurely_terminated']}) " - f"vs Detail({org_detail['patients']}/{org_detail['preincluded']}/{org_detail['included']}/{org_detail['prematurely_terminated']})") - _print_check_line(message, status_tuple=org_status, indent=1) - - return has_critical - - -# ============================================================================ -# QUALITY CHECKS ORCHESTRATION -# ============================================================================ - -def run_quality_checks(current_inclusions, organizations_list, old_inclusions_filename, skip_coherence=False): - """ - Runs coherence and non-regression quality checks on inclusions data. - - Args: - current_inclusions: Either a filename (str) to load inclusions from, - or a list of inclusion dictionaries (already in memory) - organizations_list: Either a filename (str) to load organizations from, - or a list of organization dictionaries (already in memory) - old_inclusions_filename: Filename of old inclusions for regression comparison - Must be a string (filename) - skip_coherence: If True, skip coherence check (default: False) - - Returns: - Tuple of (has_coherence_critical, has_regression_critical) - - Usage: - - Normal mode: - run_quality_checks( - current_inclusions=output_inclusions, # list (in memory) - organizations_list=organizations_list, # list (in memory) - old_inclusions_filename=INCLUSIONS_FILE_NAME # str (current file) - ) - - - Check-only mode: - run_quality_checks( - current_inclusions=INCLUSIONS_FILE_NAME, # str (current file) - organizations_list=ORGANIZATIONS_FILE_NAME, # str (organizations file) - old_inclusions_filename=get_old_filename(INCLUSIONS_FILE_NAME) # str (old file) - ) - """ - global console, regression_check_config - - # Auto-load regression config if not already loaded - if not regression_check_config: - if console is None: - console = Console() - load_regression_check_config(console) - - console.print("[bold cyan]══════════════════════════════════════════════════[/bold cyan]") - - # Load current_inclusions if it's a filename - if isinstance(current_inclusions, str): - current_inclusions_data = load_json_file(current_inclusions) - if current_inclusions_data is None: - console.print(f"[bold red]Error: Could not load current inclusions from '{current_inclusions}'[/bold red]") - return True, True # Return critical errors if can't load - elif isinstance(current_inclusions, list): - current_inclusions_data = current_inclusions - else: - console.print(f"[bold red]Error: current_inclusions must be either a filename (str) or a list of inclusions[/bold red]") - return True, True - - # Load organizations and run coherence check (unless skipped) - has_coherence_critical = False - if not skip_coherence: - # Load organizations_list if it's a filename - if isinstance(organizations_list, str): - organizations_data = load_json_file(organizations_list) - if organizations_data is None: - console.print(f"[bold red]Error: Could not load organizations from '{organizations_list}'[/bold red]") - return True, True # Return critical errors if can't load - elif isinstance(organizations_list, list): - organizations_data = organizations_list - else: - console.print(f"[bold red]Error: organizations_list must be either a filename (str) or a list of organizations[/bold red]") - return True, True - - # Run coherence check - has_coherence_critical = coherence_check(current_inclusions_data, organizations_data) - - # Load and run non-regression check - has_regression_critical = non_regression_check(current_inclusions_data, old_inclusions_filename) - - console.print("[bold cyan]══════════════════════════════════════════════════[/bold cyan]") - print() - - return has_coherence_critical, has_regression_critical - - -# ============================================================================ -# NON-REGRESSION CHECK -# ============================================================================ - -def non_regression_check(output_inclusions, old_inclusions_filename): - """ - Comprehensive config-driven non-regression check comparing current vs old inclusions. - Uses rules from regression_check_config loaded from Excel. - Returns True if any critical issue was found, False otherwise. - - Args: - output_inclusions: Current inclusions data (list) - old_inclusions_filename: Filename of old inclusions JSON file to load - """ - # Display section header first - console.print("\n[bold]═══ Non Regression Check ═══[/bold]\n") - - # Display loading message and load old inclusions file - console.print(f"[dim]Loading old inclusions from: {old_inclusions_filename}[/dim]") - old_inclusions = load_json_file(old_inclusions_filename) - - if old_inclusions is None: - console.print(f"[yellow]⚠ No old inclusions file found at '{old_inclusions_filename}', skipping non-regression check[/yellow]") - return False - - has_critical = False # Track critical status - - # ========== INTERNAL UTILITY FUNCTIONS ========== - - def _is_undefined(value): - """Check if a value is considered undefined.""" - return value in [None, "", "undefined"] - - def _values_are_equal(val1, val2): - """ - Compare two values with special handling for undefined values. - - If both are undefined → considered equal - - Otherwise → strict equality - """ - if _is_undefined(val1) and _is_undefined(val2): - return True - return val1 == val2 - - def _apply_pipeline_step(checked_fields, action, field_selector, from_pattern, to_pattern): - """Apply one pipeline step to checked_fields list IN-PLACE. - - Modifies the is_checked status (5th element) of fields matching the selector - and transition pattern. - - Args: - checked_fields: List of [group_name, field_name, old_val, new_val, is_checked] - MODIFIED IN-PLACE - action: "include" or "exclude" - field_selector: "*.*", "group.*", or "group.field" - from_pattern: "*undefined", "*defined", "*", or literal value - to_pattern: "*undefined", "*defined", "*", or literal value - - Logic: - - For each field in checked_fields: - - If field matches selector AND transition matches: - - if action="include": set is_checked=True - - if action="exclude": set is_checked=False - - Otherwise: leave is_checked unchanged - - Returns: None (modifies list in place) - """ - for i, field_record in enumerate(checked_fields): - group_name, field_name, old_val, new_val, is_checked = field_record - - # Check if this step applies to this field - if not _field_selector_matches_pattern(field_selector, group_name, field_name): - continue - - # Check if transition matches - if _transition_matches(old_val, new_val, from_pattern, to_pattern): - if action == "include": - checked_fields[i][4] = True - elif action == "exclude": - checked_fields[i][4] = False - - def _transition_matches(old_val, new_val, expected_old, expected_new): - """ - Check if a transition matches with support for keywords. - - Keywords supported (start with *): - - "*undefined": matches None, "", "undefined" - - "*defined": matches any defined value (NOT None, "", "undefined") - - "*": matches any value - - All other values are treated as literal values and matched by exact equality. - - Args: - old_val: Actual old value - new_val: Actual new value - expected_old: Expected old value or keyword (if starts with *) - expected_new: Expected new value or keyword (if starts with *) - - Returns: - True if transition matches - """ - # Handle old value matching - if expected_old == "*undefined": - old_matches = old_val in [None, "", "undefined"] - elif expected_old == "*defined": - old_matches = old_val not in [None, "", "undefined"] - elif expected_old == "*": - old_matches = True - else: - # Literal value matching (exact equality) - old_matches = (old_val == expected_old) - - # Handle new value matching - if expected_new == "*undefined": - new_matches = new_val in [None, "", "undefined"] - elif expected_new == "*defined": - new_matches = new_val not in [None, "", "undefined"] - elif expected_new == "*": - new_matches = True - else: - # Literal value matching (exact equality) - new_matches = (new_val == expected_new) - - return old_matches and new_matches - - def _check_field_matches_exception(group_name, field_name, old_val, new_val, exception_spec): - """ - Check if a field matches an exception specification. - - Now supports both single transitions and multiple transitions per exception. - - Args: - group_name: Field group name - field_name: Field name - old_val: Old value - new_val: New value - exception_spec: Exception specification dict with "field" and "transition" - Examples: - Single: {"field": "Status", "transition": [false, true]} - Multiple: {"field": "Status", "transition": [[false, true], [true, false]]} - - Returns: - True if the field and its transition match the exception - """ - if not isinstance(exception_spec, dict): - return False - - exception_field = exception_spec.get("field") - exception_transition = exception_spec.get("transition") - - if not exception_field or not exception_transition: - return False - - # Parse field specification (format: "field_group.field_name" or just "field_name") - if "." in exception_field: - exc_group, exc_name = exception_field.split(".", 1) - # Must match both group and name - if exc_group != group_name or exc_name != field_name: - return False - else: - # Only field name specified, must match field name only - if exception_field != field_name: - return False - - # Check if transition matches (now supports multiple transitions) - if not isinstance(exception_transition, list): - return False - - # Check if this is array of arrays: [[old1, new1], [old2, new2], ...] - if exception_transition and isinstance(exception_transition[0], list): - # Multiple transitions - for trans_pair in exception_transition: - if len(trans_pair) != 2: - continue - expected_old, expected_new = trans_pair - if _transition_matches(old_val, new_val, expected_old, expected_new): - return True - return False - - # Legacy support: single transition [old, new] - elif len(exception_transition) == 2 and not isinstance(exception_transition[0], list): - expected_old, expected_new = exception_transition - return _transition_matches(old_val, new_val, expected_old, expected_new) - - return False - - def _get_status_and_style(count, warning_threshold, critical_threshold): - """Determine status level and visual style.""" - nonlocal has_critical - if count > critical_threshold: - has_critical = True - return "CRITICAL", "red", "✗" - elif count > warning_threshold: - return "WARNING", "yellow", "⚠" - else: - return "OK", "green", "✓" - - def _print_block_header(title, status_tuple, indent=0): - """Print block header with status.""" - indent_str = " " * indent - status, color, emoji = status_tuple - console.print(f"{indent_str}{emoji} [{color}][bold]{title}[/bold][/{color}]") - - def _print_check_line(message, count, status_tuple, indent=1): - """Print a check line.""" - indent_str = " " * indent - status, color, emoji = status_tuple - console.print(f"{indent_str}{emoji} [{color}]{message}: {count}[/{color}]") - - def _calculate_block_status(line_statuses): - """Calculate overall block status from line statuses.""" - if any(s[0] == "CRITICAL" for s in line_statuses): - return ("CRITICAL", "red", "✗") - elif any(s[0] == "WARNING" for s in line_statuses): - return ("WARNING", "yellow", "⚠") - else: - return ("OK", "green", "✓") - - # ========== NEW FIELD SELECTION PIPELINE FUNCTIONS ========== - - def _field_selector_matches_pattern(selector, group_name, field_name): - """ - Check if a field matches a field_selector pattern. - - Patterns: - - "*.*": matches any field - - "group.*": matches any field in specific group - - "group.field": matches specific field - - Args: - selector: Field selector pattern string - group_name: Actual group name - field_name: Actual field name - - Returns: - True if matches, False otherwise - """ - if selector == "*.*": - return True - - sel_group, sel_field = selector.split(".", 1) - - # Check group part - if sel_group != "*" and sel_group != group_name: - return False - - # Check field part - if sel_field == "*": - return True - - return sel_field == field_name - - def _apply_field_selection_pipeline(all_fields, field_selection_config): - """ - Apply field_selection pipeline to build candidate_fields. - - Args: - all_fields: List of (group_name, field_name) tuples available - field_selection_config: List of [action, field_selector] steps - - Returns: - Set of (group_name, field_name) tuples matching pipeline - """ - # Start with empty set - candidate_fields = set() - - # If None or empty, return empty (explicit requirement) - if not field_selection_config: - return candidate_fields - - # Apply each pipeline step - for action, field_selector in field_selection_config: - for group_name, field_name in all_fields: - # Check if this field matches the selector - if _field_selector_matches_pattern(field_selector, group_name, field_name): - if action == "include": - candidate_fields.add((group_name, field_name)) - elif action == "exclude": - candidate_fields.discard((group_name, field_name)) - - return candidate_fields - - def _get_key_field_from_new_inclusions_rule(rule, new_inclusions_list, old_inclusions_list): - """ - Determine key field by applying field_selection to first inclusion sample. - - Logic: - 1. Get first inclusion from new and old data (representative sample) - 2. Apply field_selection pipeline to both (same as any rule) - 3. Return first field that exists with value in BOTH inclusions - - Assumes inclusion structure is stable across all inclusions (reasonable assumption - for database-backed data). - - Args: - rule: "New Inclusions" rule with field_selection config - new_inclusions_list: List of new inclusions - old_inclusions_list: List of old inclusions - - Returns: - (key_field_name, field_group) tuple - - Raises: - ValueError: If lists empty or no valid key field found - """ - # Get first inclusion from each (representative sample of structure) - if not new_inclusions_list or not old_inclusions_list: - raise ValueError("Cannot determine key field: empty inclusion lists") - - new_inc = new_inclusions_list[0] # First new inclusion - old_inc = old_inclusions_list[0] # First old inclusion - - # Apply field_selection pipeline (SAME AS FOR ANY RULE!) - # This respects the full pipeline: include/exclude/wildcards - candidate_fields = _build_candidate_fields(new_inc, old_inc, rule.get("field_selection")) - - if not candidate_fields: - raise ValueError( - f"field_selection produced no candidate fields. " - f"Config: {rule.get('field_selection')}" - ) - - # Try each candidate field in order (sorted for determinism) - # Return first field that has non-null value in both inclusions - for group_name, field_name in sorted(candidate_fields): - new_val = get_nested_value(new_inc, [group_name, field_name]) - old_val = get_nested_value(old_inc, [group_name, field_name]) - - if new_val is not None and old_val is not None: - return field_name, group_name - - # No valid key found - raise ValueError( - f"No field in field_selection has values in both first new and old inclusion. " - f"Candidates from pipeline: {candidate_fields}. " - f"Verify field_selection config or data has proper values." - ) - - def _build_inclusion_dict(inclusions_list, key_field, field_group="Patient_Identification"): - """ - Build dictionary indexed by key field. - - Args: - inclusions_list: List of inclusion dicts - key_field: Field name to use as key (e.g., "Patient_Id", "Pseudo") - field_group: Group containing the key field (default: "Patient_Identification") - - Returns: - Dict with key values as keys, inclusion dicts as values - """ - result = {} - for inclusion in inclusions_list: - key = get_nested_value(inclusion, [field_group, key_field]) - if key: - result[key] = inclusion - return result - - # ========== TRANSITION MATCHING FUNCTIONS ========== - - def _matches_transition(old_val, new_val, transitions_config): - """Check if (old_val, new_val) matches any configured transition. - - Uses the helper function _transition_matches for consistency. - - Supports keywords with asterisk prefix: - - *undefined: matches any undefined value (None, "", "undefined") - - *defined: matches any defined value (not None, "", or "undefined") - - *: wildcard, matches any value - - All other values are treated as literal values and matched by exact equality. - """ - if transitions_config is None: - return False - for transition in transitions_config: - expected_old, expected_new = transition - if _transition_matches(old_val, new_val, expected_old, expected_new): - return True - return False - - # ========== RULE PROCESSING FUNCTIONS ========== - - def _process_special_rule(rule, line_label, new_dict, old_dict): - """ - Process special rules: "New Inclusions" and "Deleted Inclusions". - These rules simply count the number of keys present in one dict but not the other. - - Args: - rule: Rule configuration (unused for counting, but kept for consistency) - line_label: The line label to identify which special rule this is - new_dict: Dictionary of new inclusions - old_dict: Dictionary of old inclusions - - Returns: - Count of new or deleted inclusions - """ - if line_label == "New Inclusions": - return len(set(new_dict.keys()) - set(old_dict.keys())) - elif line_label == "Deleted Inclusions": - return len(set(old_dict.keys()) - set(new_dict.keys())) - else: - # Should not happen, but return 0 for safety - return 0 - - def _process_new_deleted_fields(line_label, new_dict, old_dict): - """ - Process special rules: "New Fields" and "Deleted Fields". - - These rules collect all fields that appear/disappear in inclusions, using - qualified names "group.field" to distinguish fields across different groups. - - Note: field_selection is NOT used for these rules (must be empty). - - Returns a list of tuples: [(field_qualified_name, count_of_inclusions), ...] - where count_of_inclusions is the number of inclusions that have this field added/removed. - - Args: - line_label: "New Fields" or "Deleted Fields" - new_dict: Dictionary of new inclusions - old_dict: Dictionary of old inclusions - - Returns: - List of (qualified_field_name, inclusion_count) tuples - """ - # Collect field changes across all common inclusions - field_counts = {} # qualified_field_name -> count of inclusions - - # Only examine common inclusions (present in both versions) - # Sort for deterministic processing - common_keys = sorted(set(new_dict.keys()) & set(old_dict.keys())) - - for key in common_keys: - new_inc = new_dict[key] - old_inc = old_dict[key] - - # Get all groups from both versions - # Sort for deterministic processing - all_groups = sorted(set(new_inc.keys()) | set(old_inc.keys())) - - for group_name in all_groups: - new_group = new_inc.get(group_name, {}) - old_group = old_inc.get(group_name, {}) - - if not isinstance(new_group, dict): - new_group = {} - if not isinstance(old_group, dict): - old_group = {} - - new_fields = set(new_group.keys()) - old_fields = set(old_group.keys()) - - # Determine which fields to count based on line_label - if line_label == "New Fields": - changed_fields = sorted(new_fields - old_fields) - elif line_label == "Deleted Fields": - changed_fields = sorted(old_fields - new_fields) - else: - changed_fields = [] - - # Count each changed field with qualified name (sorted for determinism) - for field_name in changed_fields: - qualified_name = f"{group_name}.{field_name}" - field_counts[qualified_name] = field_counts.get(qualified_name, 0) + 1 - - # Convert to list of tuples and sort by count (descending) then by name - result = sorted(field_counts.items(), key=lambda x: (-x[1], x[0])) - return result - - def _build_candidate_fields(new_inc, old_inc, field_selection_config): - """ - Helper function to build candidate fields using field_selection pipeline. - - Args: - new_inc: New inclusion dict - old_inc: Old inclusion dict - field_selection_config: List of [action, field_selector] pipeline steps - - Returns: - Sorted list of (group_name, field_name) tuples that exist in both versions - """ - # Step 1: Collect all available fields from both versions - common_groups = sorted(set(new_inc.keys()) & set(old_inc.keys())) - all_available_fields = [] - - for group_name in common_groups: - new_group = new_inc.get(group_name, {}) - old_group = old_inc.get(group_name, {}) - - if not isinstance(new_group, dict): - new_group = {} - if not isinstance(old_group, dict): - old_group = {} - - # Only fields that exist in both versions - common_field_names = sorted(set(new_group.keys()) & set(old_group.keys())) - - for field_name in common_field_names: - all_available_fields.append((group_name, field_name)) - - # Step 2: Apply field_selection pipeline - if not field_selection_config: - return [] - - candidate_fields = _apply_field_selection_pipeline( - all_available_fields, - field_selection_config - ) - - return sorted(candidate_fields, key=lambda x: (x[0], x[1])) - - def _process_rule(rule, new_dict, old_dict): - """ - Process a single regression check rule with correct 4-step logic. - - Logic: - 1. Build candidate fields using field_selection pipeline - 2. For each changed field, check if transition matches → mark as "checked" - 3. Apply transitions pipeline steps → modify "checked" status - 4. Apply bloc_scope (all/any) → count inclusion - - Only processes common_keys (inclusions present in both new and old dicts). - - Args: - rule: Rule configuration dict - new_dict: Dict of new inclusions indexed by key field - old_dict: Dict of old inclusions indexed by key field - - Returns: - Tuple of (count, details_list) where: - - count: Number of matching inclusions - - details_list: List of (inclusion_key, field_changes) tuples for DEBUG_MODE - field_changes is list of (group.field, old_val, new_val) tuples - """ - # Check for config errors first - if rule.get("_config_error"): - return 0, [] - - field_selection_config = rule.get("field_selection") - bloc_scope = rule.get("bloc_scope") or "any" - - # Only process inclusions present in both versions - common_keys = sorted(set(new_dict.keys()) & set(old_dict.keys())) - matching_inclusions_count = 0 - details_list = [] # For DEBUG_MODE - - for key in common_keys: - new_inc = new_dict[key] - old_inc = old_dict[key] - - # Step 1: Build candidate fields using field_selection pipeline - candidate_fields = _build_candidate_fields(new_inc, old_inc, field_selection_config) - - # If no candidate fields, skip this inclusion - if not candidate_fields: - continue - - # Step 2 & 3: Build initial field list and apply transitions pipeline - # Initialize field list with all changed fields - # Format: [group_name, field_name, old_val, new_val, is_checked] - all_fields_list = [] - changed_fields = [] # Track for bloc_scope="all" logic - - for group_name, field_name in candidate_fields: - new_val = get_nested_value(new_inc, [group_name, field_name]) - old_val = get_nested_value(old_inc, [group_name, field_name]) - - # Track if field has changed (for bloc_scope="all" logic) - field_has_changed = not _values_are_equal(old_val, new_val) - if field_has_changed: - changed_fields.append((group_name, field_name)) - # Add to all_fields_list with is_checked=False initially - all_fields_list.append([group_name, field_name, old_val, new_val, False]) - - # Apply transitions pipeline: each step modifies is_checked in-place - transitions_config = rule.get("transitions", []) - if transitions_config and isinstance(transitions_config, list): - for action, field_selector, from_val, to_val in transitions_config: - _apply_pipeline_step(all_fields_list, action, field_selector, from_val, to_val) - - # Extract final checked fields - checked_fields = [(f[0], f[1], f[2], f[3]) for f in all_fields_list if f[4]] - - # Step 4: Apply bloc_scope logic - inclusion_matches = False - if bloc_scope == "all": - # ALL fields that CHANGED must match the transition pattern - # (unchanged fields don't block the rule) - if len(changed_fields) > 0 and len(checked_fields) == len(changed_fields): - inclusion_matches = True - else: # bloc_scope == "any" - # AT LEAST ONE field must be checked - if len(checked_fields) > 0: - inclusion_matches = True - - if inclusion_matches: - matching_inclusions_count += 1 - # Collect details for debug_mode - if debug_mode and checked_fields: - field_changes = [(f"{gn}.{fn}", ov, nv) for gn, fn, ov, nv in checked_fields] - details_list.append((key, field_changes)) - - return matching_inclusions_count, details_list - - # ========== MAIN LOGIC ========== - - # Determine key field from "New Inclusions" rule config - key_field = None - field_group = None - - for rule in regression_check_config: - if rule.get("line_label") == "New Inclusions": - try: - key_field, field_group = _get_key_field_from_new_inclusions_rule( - rule, - output_inclusions, - old_inclusions - ) - break - except ValueError as e: - console.print(f"[bold red]Error determining key field: {e}[/bold red]") - return True # Critical error, trigger user confirmation - - if not key_field: - console.print("[bold red]Error: 'New Inclusions' rule not found or has no valid field_selection[/bold red]") - return True # Critical error, trigger user confirmation - - console.print(f"[dim]Using key field: {field_group}.{key_field}[/dim]\n") - - new_dict = _build_inclusion_dict(output_inclusions, key_field, field_group) - old_dict = _build_inclusion_dict(old_inclusions, key_field, field_group) - - # Group rules by bloc_title, preserving order of first appearance in regression_check_config - blocs = {} - bloc_order = [] # Track order of first appearance - for rule in regression_check_config: - bloc_title = rule["bloc_title"] - if bloc_title not in blocs: - blocs[bloc_title] = [] - bloc_order.append(bloc_title) - blocs[bloc_title].append(rule) - - # Process each bloc in order of first appearance - for bloc_title in bloc_order: - rules = blocs[bloc_title] - line_results = [] - - for rule in rules: - line_label = rule["line_label"] - warning_threshold = rule["warning_threshold"] - critical_threshold = rule["critical_threshold"] - - # Detect special rules and route to appropriate processing function - if line_label in ["New Inclusions", "Deleted Inclusions"]: - # Special rules: just count new/deleted keys - count = _process_special_rule(rule, line_label, new_dict, old_dict) - line_results.append((line_label, count, None, "simple")) # type: simple count - - elif line_label in ["New Fields", "Deleted Fields"]: - # Special rules: collect field-by-field details - field_list = _process_new_deleted_fields(line_label, new_dict, old_dict) - # Count is the number of fields detected - count = len(field_list) - line_results.append((line_label, count, field_list, "fields")) # type: field list - - else: - # Normal rules: apply 4-step logic - count, details = _process_rule(rule, new_dict, old_dict) - line_results.append((line_label, count, details, "details")) # type: inclusion details - - # Calculate status for each line now that we have counts - line_results_with_status = [] - for line_label, count, data, result_type in line_results: - # Find the rule to get thresholds - rule = next(r for r in rules if r["line_label"] == line_label) - warning_threshold = rule["warning_threshold"] - critical_threshold = rule["critical_threshold"] - status_tuple = _get_status_and_style(count, warning_threshold, critical_threshold) - line_results_with_status.append((line_label, count, data, result_type, status_tuple)) - - # Calculate bloc status - bloc_status = _calculate_block_status([result[4] for result in line_results_with_status]) - - # Display bloc header - _print_block_header(bloc_title, bloc_status, indent=0) - - # Display lines based on bloc and status - for line_label, count, data, result_type, status_tuple in line_results_with_status: - # Structure bloc shows everything, others only show non-OK lines - should_display = (bloc_title == "Structure") or (status_tuple[0] != "OK") - - if should_display: - if result_type == "fields": - # Display field list with title and sub-items - _print_check_line(line_label, count, status_tuple, indent=1) - # Display each field as a sub-item - for field_name, inclusion_count in data: - console.print(f" {field_name} ({inclusion_count} inclusions)") - - elif result_type == "details": - # Display count - _print_check_line(line_label, count, status_tuple, indent=1) - - # Display detailed changes if debug_mode is enabled and data exists - if debug_mode and data and len(data) > 0: - for inclusion_key, field_changes in data: - console.print(f" [dim]{key_field}: {inclusion_key}[/dim]") - for qualified_field, old_val, new_val in field_changes: - # Format values for display - old_display = f"'{old_val}'" if isinstance(old_val, str) else str(old_val) - new_display = f"'{new_val}'" if isinstance(new_val, str) else str(new_val) - console.print(f" - {qualified_field}: {old_display} → {new_display}") - - else: - # Simple count display - _print_check_line(line_label, count, status_tuple, indent=1) - - console.print() - - return has_critical diff --git a/eb_dashboard_utils.py b/eb_dashboard_utils.py deleted file mode 100644 index 2aab906..0000000 --- a/eb_dashboard_utils.py +++ /dev/null @@ -1,220 +0,0 @@ -""" -Endobest Dashboard - Utility Functions Module - -This module contains generic utility functions used throughout the Endobest Dashboard: -- HTTP client management (thread-safe) -- Nested data structure navigation with wildcard support -- Configuration path resolution (script vs PyInstaller) -- Thread position management for progress bars -- Filename generation utilities -""" - -import os -import sys -import threading - -import httpx - -from eb_dashboard_constants import CONFIG_FOLDER_NAME - - -# ============================================================================ -# GLOBAL VARIABLES (managed by main module) -# ============================================================================ -thread_local_storage = threading.local() - - -def run_with_context(func, context, *args, **kwargs): - """ - Wrapper to set thread-local context before running a function in a new thread. - Useful for ThreadPoolExecutor where context is lost. - """ - thread_local_storage.current_patient_context = context - return func(*args, **kwargs) - - -# These will be set/accessed from the main module -httpx_clients = {} -_clients_lock = threading.Lock() -threads_list = [] -_threads_list_lock = threading.Lock() - - -# ============================================================================ -# HTTP CLIENT MANAGEMENT -# ============================================================================ - -def get_httpx_client() -> httpx.Client: - """ - Get or create thread-local HTTP client. - Keep-alive is disabled to avoid stale connections with load balancers. - """ - global httpx_clients - thread_id = threading.get_ident() - - with _clients_lock: - if thread_id not in httpx_clients: - # Create client with keep-alive disabled - httpx_clients[thread_id] = httpx.Client( - headers={"Connection": "close"}, # Explicitly request closing - limits=httpx.Limits(max_keepalive_connections=0, max_connections=100) - ) - return httpx_clients[thread_id] - - -def clear_httpx_client(): - """ - Removes the current thread's client from the cache. - Ensures a fresh client (and socket pool) will be created on the next call. - """ - global httpx_clients - thread_id = threading.get_ident() - with _clients_lock: - if thread_id in httpx_clients: - try: - # Close the client before removing it - httpx_clients[thread_id].close() - except: - pass - del httpx_clients[thread_id] - - -def get_thread_position(): - """ - Get the position of the current thread in the threads list. - Used for managing progress bar positions in multithreaded environment. - """ - global threads_list - thread_id = threading.get_ident() - with _threads_list_lock: - if thread_id not in threads_list: - threads_list.append(thread_id) - return len(threads_list) - 1 - else: - return threads_list.index(thread_id) - - -# ============================================================================ -# NESTED DATA NAVIGATION -# ============================================================================ - -def get_nested_value(data_structure, path, default=None): - """ - Extracts a value from a nested structure of dictionaries and lists. - Supports a wildcard '*' in the path to retrieve all elements from a list. - - Args: - data_structure: The nested dict/list structure to navigate - path: List of keys/indices to follow. Use '*' for list wildcard. - default: Value to return if path not found - - Returns: - The value at the end of the path, or default if not found - - Examples: - get_nested_value({"a": {"b": 1}}, ["a", "b"]) -> 1 - get_nested_value({"items": [{"x": 1}, {"x": 2}]}, ["items", "*", "x"]) -> [1, 2] - """ - if data_structure is None: - return "$$$$ No Data" - if not path: - return default - - if "*" in path: - wildcard_index = path.index("*") - path_before = path[:wildcard_index] - path_after = path[wildcard_index+1:] - - # Create a temporary function for non-wildcard path resolution - def _get_simple_nested_value(ds, p, d): - cl = ds - for k in p: - if isinstance(cl, dict): - cl = cl.get(k) - elif isinstance(cl, list): - try: - if isinstance(k, int) and -len(cl) <= k < len(cl): - cl = cl[k] - else: return d - except (IndexError, TypeError): return d - else: return d - if cl is None: return d - return cl - - base_level = _get_simple_nested_value(data_structure, path_before, default) - - if not isinstance(base_level, list): - return default - - results = [] - for item in base_level: - # For each item, recursively call to resolve the rest of the path - value = get_nested_value(item, path_after, default) - if value is not default and value != "$$$$ No Data": - results.append(value) - - # Flatten the results by one level to handle multiple wildcards - final_results = [] - for res in results: - if isinstance(res, list): - final_results.extend(res) - else: - final_results.append(res) - - return final_results - - # No wildcard, original logic (iterative) - current_level = data_structure - for key_or_index in path: - if isinstance(current_level, dict): - current_level = current_level.get(key_or_index) - if current_level is None: - return default - elif isinstance(current_level, list): - try: - if isinstance(key_or_index, int) and -len(current_level) <= key_or_index < len(current_level): - current_level = current_level[key_or_index] - else: - return default - except (IndexError, TypeError): - return default - else: - return default - return current_level - - -# ============================================================================ -# CONFIGURATION UTILITIES -# ============================================================================ - -def get_config_path(): - """ - Gets the correct path to the config folder. - Works for both script execution and PyInstaller executable. - - Returns: - Path to config folder - """ - if getattr(sys, 'frozen', False): - # Running as a PyInstaller bundle - config_folder = CONFIG_FOLDER_NAME - return os.path.join(sys._MEIPASS, config_folder) - else: - # Running as a script - return CONFIG_FOLDER_NAME - - -def get_old_filename(current_filename, old_suffix="_old"): - """Generate old backup filename from current filename. - - Example: "endobest_inclusions.json" → "endobest_inclusions_old.json" - - Args: - current_filename: Current file name (e.g., "endobest_inclusions.json") - old_suffix: Suffix to append before file extension (default: "_old") - - Returns: - Old backup filename with suffix before extension - """ - name, ext = os.path.splitext(current_filename) - return f"{name}{old_suffix}{ext}"