Added typing simulation.

.env.example

@@ -38,5 +38,14 @@ MAX_MESSAGES_HISTORY=30
 AUTO_OPENER_ENABLED=false
 OPENER_TEXT=
 
+# Typing simulation (show "typing..." before sending)
+# Enable/disable typing indicator and tune how long it appears based on message length.
+TYPING_SIM_ENABLED=true
+# Approximate words per minute used to estimate typing duration (5 chars ≈ 1 word)
+TYPING_WPM=22
+# Clamp the simulated typing duration to this range (in seconds)
+TYPING_MIN_SEC=2.0
+TYPING_MAX_SEC=18.0
+
 # Optional: ensure unbuffered logs in some environments
 PYTHONUNBUFFERED=1

README

@@ -26,6 +26,10 @@ Telethon + OpenAI bot that engages unsolicited DMs with safe, time-wasting small
 | MAX_MESSAGES_HISTORY  | no       | 30                    | Hard cap on number of messages kept in rolling history                      |
 | AUTO_OPENER_ENABLED   | no       | false                 | If true, send an initial opener only on fresh start when a target is resolved and no catch-up reply was needed |
 | OPENER_TEXT           | no       | —                     | The opener text to send when AUTO_OPENER_ENABLED=true                        |
+| TYPING_SIM_ENABLED    | no       | true                  | Show a "typing…" indicator before sending the message                        |
+| TYPING_WPM            | no       | 22                    | Approximate words per minute to estimate typing duration                     |
+| TYPING_MIN_SEC        | no       | 2.0                   | Minimum typing duration (seconds)                                            |
+| TYPING_MAX_SEC        | no       | 18.0                  | Maximum typing duration (seconds)                                            |
 | PYTHONUNBUFFERED      | no       | 1                     | If set, forces unbuffered output in some environments                       |
 
 Notes:

main.py

@@ -41,6 +41,14 @@ TARGET_CACHE_FILE = Path(os.environ.get("TARGET_CACHE_FILE", "target_id.txt"))
 AUTO_OPENER_ENABLED = os.environ.get("AUTO_OPENER_ENABLED", "false").lower() == "true"
 OPENER_TEXT = os.environ.get("OPENER_TEXT", "").strip()
 
+# Typing simulation controls
+TYPING_SIM_ENABLED = os.environ.get("TYPING_SIM_ENABLED", "true").lower() == "true"
+# Approx words per minute to estimate how long to "type"
+TYPING_WPM = int(os.environ.get("TYPING_WPM", "22"))
+# Clamp typing duration into [min, max] seconds
+TYPING_MIN_SEC = float(os.environ.get("TYPING_MIN_SEC", "2.0"))
+TYPING_MAX_SEC = float(os.environ.get("TYPING_MAX_SEC", "18.0"))
+
 # ---------- Validation ----------
 def _require(cond: bool, msg: str):
     if not cond:
@@ -299,14 +307,50 @@ async def startup_catchup_if_needed(client: TelegramClient, target_entity) -> bo
     await safe_send(client, target_entity, reply)
     return True
 
-
-
 async def human_delay():
     await asyncio.sleep(random.randint(MIN_DELAY_SEC, MAX_DELAY_SEC))
 
+def _estimate_typing_seconds(text: str) -> float:
+    """
+    Estimate a human-like typing duration based on configured WPM.
+    Roughly assumes 5 characters per word.
+    """
+    if not text:
+        return TYPING_MIN_SEC
+    words = max(1, len(text) / 5.0)
+    seconds = (words / max(1, TYPING_WPM)) * 60.0
+    return max(TYPING_MIN_SEC, min(TYPING_MAX_SEC, seconds))
+
+async def _simulate_typing(client: TelegramClient, entity, seconds: float):
+    """
+    Sends 'typing...' chat actions periodically so the peer sees the typing indicator.
+    """
+    if seconds <= 0:
+        return
+    # Telethon auto-refreshes typing when using the context manager.
+    # We slice the sleep into small chunks to keep the indicator alive.
+    slice_len = 3.5
+    total = 0.0
+    try:
+        async with client.action(entity, 'typing'):
+            while total < seconds:
+                remaining = seconds - total
+                sl = slice_len if remaining > slice_len else remaining
+                await asyncio.sleep(sl)
+                total += sl
+    except Exception as e:
+        # Typing is best-effort; fall back silently
+        print(f"Typing simulation warning: {e}")
 
 async def safe_send(client: TelegramClient, entity, text: str):
+    # Initial human-like pause before reacting at all
     await human_delay()
+
+    # Show "typing..." before sending the full message
+    if TYPING_SIM_ENABLED:
+        seconds = _estimate_typing_seconds(text)
+        await _simulate_typing(client, entity, seconds)
+
     try:
         await client.send_message(entity, text)
     except FloodWaitError as e: