re-login if refresh-token exhausted

eb_dashboard.py

@@ -21,7 +21,7 @@
 # identification, and support for complex data extraction using JSON path expressions.
 import json
 import logging
-
+import msvcrt
 import os
 import re
 import sys
@@ -118,6 +118,9 @@ access_token = ""
 refresh_token = ""
 threads_list = []
 _token_refresh_lock = threading.Lock()
+on_retry_exhausted = "ask"  # "ask" | "ignore" | "abort" — set at startup
+_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()
@@ -186,8 +189,10 @@ def new_token():
             finally:
                 if attempt < ERROR_MAX_RETRY - 1:
                     sleep(WAIT_BEFORE_RETRY)
-        logging.critical("Persistent error in refresh_token")
+        # Refresh token exhausted — attempt full re-login with stored credentials
-        raise httpx.RequestError(message="Persistent error in refresh_token")
+        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):
@@ -212,7 +217,10 @@ def api_call_with_retry(func):
                     
                     if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code == 401:
                         logging.info(f"Token expired for {func_name}. Refreshing token.")
-                        new_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)
@@ -225,32 +233,41 @@ def api_call_with_retry(func):
                             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
+                            # All automatic batches exhausted — apply on_retry_exhausted policy
                             with _user_interaction_lock:
-                                console.print(f"\n[bold red]Persistent error in {func_name} after {batch_count} batches ({total_attempts} attempts).[/bold red]")
+                                if on_retry_exhausted == "ignore":
-                                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}")
+                                    logging.warning(f"[AUTO-IGNORE] Skipping {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}.")
+                                elif on_retry_exhausted == "abort":
-                                    raise httpx.RequestError(message=f"Persistent error in {func_name} (stopped by user)")
+                                    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
 
@@ -259,51 +276,56 @@ def api_call_with_retry(func):
 # BLOCK 3: AUTHENTICATION
 # ============================================================================
 
-def login():
+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:
-        client = get_httpx_client()
+        _do_login(user_name, password)
-        client.base_url = IAM_URL
-        response = client.post(API_AUTH_LOGIN_ENDPOINT, json={"username": user_name, "password": password},
-                               timeout=20)
-        response.raise_for_status()
-        master_token = response.json()["access_token"]
-        user_id = response.json()["userId"]
     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(
+        logging.warning(f"Login Error : {exc.response.status_code} for Url {exc.request.url}")
-            f"Login Error : {exc.response.status_code} for Url {exc.request.url}")
-        return "Error"
-
-    try:
-        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"]
-    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}")
         return "Error"
 
+    _stored_username = user_name
+    _stored_password = password
     print()
     print("Login Success")
     return "Success"
@@ -313,6 +335,87 @@ def login():
 # 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 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.
@@ -1135,8 +1238,9 @@ def _process_inclusion_data(inclusion, organization):
     output_inclusion = {}
 
     # --- Prepare all data sources ---
-    # 1. 6-month visit loading disabled on this branch (No-6-Month-Visit)
+    # 1. Launch Visit Search asynchronously (it's slow, ~5s)
-    # visit_future = subtasks_thread_pool.submit(run_with_context, search_visit_by_pseudo_and_order, ctx, pseudo, 2)
+    # We use run_with_context to pass the patient identity to the new thread
+    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)
@@ -1160,8 +1264,11 @@ def _process_inclusion_data(inclusion, organization):
         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)
+    try:
-    six_month_visit_data = None
+        six_month_visit_data = visit_future.result()
+    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)
@@ -1232,6 +1339,12 @@ def main():
     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()