clean

.gitignore

@@ -195,3 +195,9 @@ Endobest Reporting/
 jsons history/
 nul
 
+# Ignore all json, exe, log and xlsx files
+*.json
+*.exe
+*.log
+/*.xlsx
+!eb_org_center_mapping.xlsx

dashboard.log

@@ -1,2 +0,0 @@
-2025-12-15 18:29:35,069 - WARNING - Error in get_record_by_patient_id (Attempt 1/10): Client error '400 Bad Request' for url 'https://api-hcp.ziwig-connect.com/api/records/byPatient'
-For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400

eb_dashboard.py

@@ -6,7 +6,7 @@
 # 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), custom functions for business logic (conditional fields, data transformations, pattern matching),
+# 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
@@ -56,6 +56,8 @@ from eb_dashboard_constants import (
     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,
@@ -73,6 +75,7 @@ from eb_dashboard_constants import (
     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
 )
 
@@ -80,8 +83,11 @@ from eb_dashboard_constants import (
 from eb_dashboard_utils import (
     get_nested_value,
     get_httpx_client,
+    clear_httpx_client,
     get_thread_position,
-    get_config_path
+    get_config_path,
+    thread_local_storage,
+    run_with_context
 )
 from eb_dashboard_quality_checks import (
     backup_output_files,
@@ -115,6 +121,7 @@ _token_refresh_lock = threading.Lock()
 _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 = []
@@ -171,9 +178,11 @@ def new_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)
@@ -186,19 +195,62 @@ def api_call_with_retry(func):
     @functools.wraps(func)
     def wrapper(*args, **kwargs):
         func_name = func.__name__
-        for attempt in range(ERROR_MAX_RETRY):
-            try:
-                return func(*args, **kwargs)
-            except (httpx.RequestError, httpx.HTTPStatusError) as exc:
-                logging.warning(f"Error in {func_name} (Attempt {attempt + 1}/{ERROR_MAX_RETRY}): {exc}")
-                if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code == 401:
-                    logging.info(f"Token expired for {func_name}. Refreshing token.")
-                    new_token()
-                if attempt < ERROR_MAX_RETRY - 1:
-                    sleep(WAIT_BEFORE_RETRY)
-
-        logging.critical(f"Persistent error in {func_name} after {ERROR_MAX_RETRY} attempts.")
-        raise httpx.RequestError(message=f"Persistent error in {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.")
+                        new_token()
+                    
+                    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, ask the user
+                            with _user_interaction_lock:
+                                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)":
+                                    # Retrieve context if available
+                                    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
 
@@ -347,6 +399,9 @@ def load_inclusions_mapping_config():
             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
@@ -442,23 +497,29 @@ def load_organizations_mapping_config():
 
 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)."""
-    for qcm_data in qcm_dict.values():
-        if get_nested_value(qcm_data, ["questionnaire", "name"]) == name:
-            return qcm_data.get("answers")
+    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)."""
-    for qcm_data in qcm_dict.values():
-        if get_nested_value(qcm_data, ["questionnaire", "category"]) == category:
-            return qcm_data.get("answers")
+    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
 
 
@@ -684,7 +745,7 @@ def _execute_custom_function(function_name, args, output_inclusion):
     return f"$$$$ Unknown Custom Function: {function_name}"
 
 
-def process_inclusions_mapping(output_inclusion, inclusion_data, record_data, request_data, all_questionnaires):
+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"]
@@ -722,9 +783,18 @@ def process_inclusions_mapping(output_inclusion, inclusion_data, record_data, re
                 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
@@ -843,6 +913,24 @@ def get_request_by_tube_id(tube_id):
     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."""
@@ -855,8 +943,15 @@ def get_all_questionnaires_by_patient(patient_id, record_data):
     }
 
     # Extract blockedQcmVersions from record (same logic as get_questionnaire_answers)
-    all_blocked_versions = get_nested_value(record_data, path=["record", "protocol_inclusions", 0, "blockedQcmVersions"],
-                                          default=[])
+    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
 
@@ -1030,33 +1125,46 @@ 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 ---
-    # Prepare inclusion_data: enrich inclusion with organization info
+    # 1. 6-month visit loading disabled on this branch (No-6-Month-Visit)
+    # visit_future = subtasks_thread_pool.submit(run_with_context, search_visit_by_pseudo_and_order, ctx, pseudo, 2)
+
+    # 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"]
 
-    # Prepare record_data
+    # 3. Prepare record_data (sequential as it's often needed for questionnaires)
     record_data = get_record_by_patient_id(patient_id, organization_id)
 
-    # Get tube_id for request
+    # 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")
-
-    # Launch in parallel: request and questionnaires
-    request_future = subtasks_thread_pool.submit(get_request_by_tube_id, tube_id)
+    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)
 
-    # Wait for request to complete
-    request_data = request_future.result()
+    # --- 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
+
+    # 6-month visit loading disabled on this branch (No-6-Month-Visit)
+    six_month_visit_data = None
 
     # --- Process all fields from configuration ---
-    process_inclusions_mapping(output_inclusion, inclusion_data, record_data, request_data, all_questionnaires)
+    process_inclusions_mapping(output_inclusion, inclusion_data, record_data, request_data, all_questionnaires, six_month_visit_data)
 
     return output_inclusion
 

eb_dashboard_constants.py

@@ -81,6 +81,7 @@ 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"
@@ -90,8 +91,10 @@ API_GDD_GET_REQUEST_BY_TUBE_ID_ENDPOINT = "/api/requests/by-tube-id"
 # ============================================================================
 
 ERROR_MAX_RETRY = 10
-WAIT_BEFORE_RETRY = 0.5
-MAX_THREADS = 20
+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

eb_dashboard_utils.py

@@ -21,9 +21,21 @@ 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()
 
@@ -34,19 +46,37 @@ _threads_list_lock = threading.Lock()
 
 def get_httpx_client() -> httpx.Client:
     """
-    Get or create thread-local HTTP client with keep-alive enabled.
-    Each thread gets its own httpx.Client instance to avoid connection conflicts.
-    Keep-alive connections improve performance by reusing TCP connections.
+    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()
-    if thread_id not in httpx_clients:
-        # Create client with keep-alive headers and connection pooling
-        httpx_clients[thread_id] = httpx.Client(
-            headers={"Connection": "keep-alive"},
-            limits=httpx.Limits(max_keepalive_connections=20, max_connections=100)
-        )
-    return httpx_clients[thread_id]
+    
+    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():

endobest_organizations.json

@@ -1,668 +0,0 @@
-[
-    {
-        "id": "5703b3d6-e415-40b0-90ea-b168835fd720",
-        "name": "HOPITAL PRIVE NATECIA",
-        "Center_Name": "Hôpital Privé Natécia",
-        "patients_count": 169,
-        "preincluded_count": 2,
-        "included_count": 167,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "5e6d7afa-6532-495f-a84a-34f644aeaa0f",
-        "name": "CLINIQUE BELLEDONNE",
-        "Center_Name": "Clinique Belledonne",
-        "patients_count": 158,
-        "preincluded_count": 5,
-        "included_count": 152,
-        "prematurely_terminated_count": 1
-    },
-    {
-        "id": "026a6d39-552f-44b9-8a2d-1ecd705f9e08",
-        "name": "HOPITAL AMERICAIN",
-        "Center_Name": "Hôpital Américain de Paris",
-        "patients_count": 157,
-        "preincluded_count": 1,
-        "included_count": 156,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "1de71a30-840b-4c4b-84fc-281ce1b4a5e1",
-        "name": "SANTE ATLANTIQUE",
-        "Center_Name": "Clinique Santé Atlantique",
-        "patients_count": 155,
-        "preincluded_count": 0,
-        "included_count": 155,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "bf0f96c1-8bbc-4f2c-b360-4a5b27995a12",
-        "name": "SA CLINIQUE TIVOLI-DUCOS",
-        "Center_Name": "Clinique TIVOLI",
-        "patients_count": 154,
-        "preincluded_count": 4,
-        "included_count": 150,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "aba63d11-0dd7-40e8-a652-384c311bb358",
-        "name": "HOPITAL LYON SUD - HOSPICES CIVILS DE LYON",
-        "Center_Name": "Hôpital Lyon Sud - Hospices Civils de Lyon",
-        "patients_count": 127,
-        "preincluded_count": 0,
-        "included_count": 127,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "8488229d-f426-4bdd-923c-f638041b223c",
-        "name": "HOPITAL JEANNE DE FLANDRE DU CHU DE LILLE",
-        "Center_Name": "CHU de Lille - Hôpital Jeanne de Flandre",
-        "patients_count": 91,
-        "preincluded_count": 1,
-        "included_count": 90,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "31665f8d-0f46-44dc-931f-e3aed8879965",
-        "name": "HOPITAL MAISON BLANCHE CHU REIMS",
-        "Center_Name": "CHU de Reims - Hôpital Maison Blanche",
-        "patients_count": 88,
-        "preincluded_count": 0,
-        "included_count": 88,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "b77b301c-10fa-4eca-bb5b-51506766e158",
-        "name": "HOPITAL CHARLES NICOLLE CHU ROUEN",
-        "Center_Name": "CHU de Rouen Normandie - Hôpital Charles-Nicolle",
-        "patients_count": 84,
-        "preincluded_count": 1,
-        "included_count": 83,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "743d0a1a-7edf-4fe6-9d65-0c14363f2153",
-        "name": "CENTRE HOSPITALIER  UNIVERSITAIRE JEAN MINJOZ BESANCON",
-        "Center_Name": "CHU Jean Minjoz Besançon - Pôle Mère-Femme",
-        "patients_count": 81,
-        "preincluded_count": 0,
-        "included_count": 81,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "855d7aab-9736-40b7-b9ff-dcc6438890ef",
-        "name": "HOPITAL CROIX-ROUSSE - HOSPICES CIVILS DE LYON",
-        "Center_Name": "Hôpital Croix-Rousse - Hospices Civils de Lyon",
-        "patients_count": 68,
-        "preincluded_count": 3,
-        "included_count": 64,
-        "prematurely_terminated_count": 1
-    },
-    {
-        "id": "74a05936-8fb6-4662-8e95-fd1c91621bf2",
-        "name": "GHU APHP SORBONNE UNIVERSITE SITE TENON",
-        "Center_Name": "GHU APHP - Hôpital Tenon",
-        "patients_count": 62,
-        "preincluded_count": 9,
-        "included_count": 53,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "76d2ebcd-5482-4c5d-8221-c94d1de7261e",
-        "name": "CENTRE HOSPITALIER ANNECY-GENEVOIS SITE ANNECY",
-        "Center_Name": "CH Annecy Genevois – Site d’Annecy",
-        "patients_count": 60,
-        "preincluded_count": 2,
-        "included_count": 58,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "006740fa-696c-4ffb-8b77-7a60d0e23617",
-        "name": "HOPITAL PRIVÉ LE BOIS",
-        "Center_Name": "Hôpital Privé le Bois - Lille",
-        "patients_count": 60,
-        "preincluded_count": 1,
-        "included_count": 59,
-        "prematurely_terminated_count": 0
-    },
-    {
-        "id": "a4b3dfea-1220-4987-b287-f58fde1d0ee5",
-        "name": "CENTRE HOSPITALIER UNIVERSITAIRE  COTE DE NACRE",
-        "Center_Name": "CHU de Caen",
-        "patients_count": 58,
-        "preincluded_count": 0,
-        "included_count": 58,
-        "prematurely_terminated_count": 0
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-]

endobest_organizations_old.json

@@ -1,659 +0,0 @@
-[
-    {
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